diff --git a/.docker/README.md b/.docker/README.md new file mode 100644 index 0000000..ed591d1 --- /dev/null +++ b/.docker/README.md @@ -0,0 +1,28 @@ +# Overview + +In order to simplify the setup and deployment of DROID across different machines we supply Dockerfiles for both the control server (nuc) and the client machine (laptop). The directory structure is broken down as follows: + + ├── nuc # directory for nuc docker setup files + ├──── Dockerfile.nuc # nuc image definition + ├──── docker-compose-nuc.yaml # nuc container deployment settings + ├── laptop # directory for laptop docker setup files + ├──── Dockerfile.laptop # laptop image definition + ├──── docker-compose-laptop.yaml # laptop container deployment settings + ├──── entrypoint.sh # script that is run on entrypoint of Docker container + +We recognise that some users may not already be familiar with Docker, the syntax of Dockerfiles and the syntax of docker compose configuration files. We point the user towards the following resources on these topics: + +* [Docker Overview](https://docs.docker.com/get-started/overview/) +* [Dockerfile Reference](https://docs.docker.com/engine/reference/builder/) +* [Docker Compose Overview](https://docs.docker.com/compose/) + +# NUC Setup +In order to set up the control server on your NUC run `sudo ./nuc_setup.sh` from this [directory](https://github.com/AlexanderKhazatsky/DROID/tree/main/scripts/setup). Running through all the steps in this script will install host system dependencies and ensure the control server runs automatically in a docker container each time your machine is booted. + +Further details on the steps in README.md in the `scripts/setup` directory. + +# Laptop Setup +In order to set up the user client on your laptop run `sudo ./laptop_setup.sh` from this [directory](https://github.com/AlexanderKhazatsky/DROID/tree/main/scripts/setup). Running through all the steps in this script will install host system dependencies and ensure the user client can be run in a docker container. + +Further details can be found [README.md](https://github.com/AlexanderKhazatsky/DROID/tree/main/scripts/setup/README.md). + diff --git a/.docker/laptop/Dockerfile.laptop b/.docker/laptop/Dockerfile.laptop new file mode 100644 index 0000000..3658d87 --- /dev/null +++ b/.docker/laptop/Dockerfile.laptop @@ -0,0 +1,96 @@ +FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 + +# build args +ARG ROBOT_TYPE=${ROBOT_TYPE} +ARG LIBFRANKA_VERSION=${LIBFRANKA_VERSION} +ARG ROBOT_IP=${ROBOT_IP} +ARG NUC_IP=${NUC_IP} +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_OCULUS_DIR=/app/droid/oculus_reader +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# runtime env vars +ENV ROBOT_TYPE=${ROBOT_TYPE} +ENV LIBFRANKA_VERSION=${LIBFRANKA_VERSION} +ENV ROBOT_IP=${ROBOT_IP} +ENV NUC_IP=${NUC_IP} +ENV NVIDIA_VISIBLE_DEVICES=all +ENV NVIDIA_DRIVER_CAPABILITIES \ + ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}compute,video,utility + +# copy project code to container +COPY . /app +WORKDIR /app + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 zstd && \ + apt-get upgrade -y + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# create conda environment +RUN conda create -n "robot" python=3.7 +SHELL ["conda", "run", "-n", "robot", "/bin/bash", "-c"] + +# install the zed sdk +ARG UBUNTU_RELEASE_YEAR=22 +ARG ZED_SDK_MAJOR=4 +ARG ZED_SDK_MINOR=0 +ARG CUDA_MAJOR=12 +ARG CUDA_MINOR=1 + +RUN echo "Europe/Paris" > /etc/localtime ; echo "CUDA Version ${CUDA_MAJOR}.${CUDA_MINOR}.0" > /usr/local/cuda/version.txt + +# setup the ZED SDK +RUN apt-get update -y || true ; apt-get install --no-install-recommends lsb-release wget less udev sudo zstd build-essential cmake python3 python3-pip libpng-dev libgomp1 -y && \ + python3 -m pip install numpy opencv-python && \ + wget -q -O ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run https://download.stereolabs.com/zedsdk/${ZED_SDK_MAJOR}.${ZED_SDK_MINOR}/cu${CUDA_MAJOR}${CUDA_MINOR%.*}/ubuntu${UBUNTU_RELEASE_YEAR} && \ + chmod +x ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + ./ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run -- silent skip_tools skip_cuda && \ + ln -sf /lib/x86_64-linux-gnu/libusb-1.0.so.0 /usr/lib/x86_64-linux-gnu/libusb-1.0.so && \ + rm ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + rm -rf /var/lib/apt/lists/* +RUN conda install -c conda-forge libstdcxx-ng requests # required for pyzed +RUN python /usr/local/zed/get_python_api.py && python -m pip install --ignore-installed /app/pyzed-4.0-cp37-cp37m-linux_x86_64.whl + +# install oculus reader +RUN add-apt-repository universe && \ + apt-get update -y && \ + apt-get install -y android-tools-fastboot +RUN pip3 install -e $NUC_OCULUS_DIR && \ + apt install -y android-tools-adb + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# set polymetis config files +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# start the server +RUN chmod +x /app/.docker/laptop/entrypoint.sh +ENTRYPOINT ["/app/.docker/laptop/entrypoint.sh"] diff --git a/.docker/laptop/Dockerfile.laptop_fr3 b/.docker/laptop/Dockerfile.laptop_fr3 new file mode 100644 index 0000000..e88c775 --- /dev/null +++ b/.docker/laptop/Dockerfile.laptop_fr3 @@ -0,0 +1,92 @@ +FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 + +# set robot parameters +ENV ROBOT_TYPE=fr3 +ENV LIBFRANKA_VERSION=0.10.0 +ENV ROBOT_IP=172.16.0.1 +ENV NUC_IP=172.16.0.2 +ENV NVIDIA_VISIBLE_DEVICES=all +ENV NVIDIA_DRIVER_CAPABILITIES \ + ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}compute,video,utility + +# set directory structure +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_OCULUS_DIR=/app/droid/oculus_reader +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# copy project code to container +COPY . /app +WORKDIR /app + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 zstd && \ + apt-get upgrade -y + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# create conda environment +RUN conda create -n "robot" python=3.7 +SHELL ["conda", "run", "-n", "robot", "/bin/bash", "-c"] + +# install the zed sdk +ARG UBUNTU_RELEASE_YEAR=22 +ARG ZED_SDK_MAJOR=4 +ARG ZED_SDK_MINOR=0 +ARG CUDA_MAJOR=12 +ARG CUDA_MINOR=1 + +RUN echo "Europe/Paris" > /etc/localtime ; echo "CUDA Version ${CUDA_MAJOR}.${CUDA_MINOR}.0" > /usr/local/cuda/version.txt + +# setup the ZED SDK +RUN apt-get update -y || true ; apt-get install --no-install-recommends lsb-release wget less udev sudo zstd build-essential cmake python3 python3-pip libpng-dev libgomp1 -y && \ + python3 -m pip install numpy opencv-python && \ + wget -q -O ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run https://download.stereolabs.com/zedsdk/${ZED_SDK_MAJOR}.${ZED_SDK_MINOR}/cu${CUDA_MAJOR}${CUDA_MINOR%.*}/ubuntu${UBUNTU_RELEASE_YEAR} && \ + chmod +x ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + ./ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run -- silent skip_tools skip_cuda && \ + ln -sf /lib/x86_64-linux-gnu/libusb-1.0.so.0 /usr/lib/x86_64-linux-gnu/libusb-1.0.so && \ + rm ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + rm -rf /var/lib/apt/lists/* +RUN conda install -c conda-forge libstdcxx-ng requests # required for pyzed +RUN python /usr/local/zed/get_python_api.py && python -m pip install --ignore-installed /app/pyzed-4.0-cp37-cp37m-linux_x86_64.whl + +# install oculus reader +RUN add-apt-repository universe && \ + apt-get update -y && \ + apt-get install -y android-tools-fastboot +RUN pip3 install -e $NUC_OCULUS_DIR && \ + apt install -y android-tools-adb + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# set polymetis config files +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# start the server +RUN chmod +x /app/.docker/laptop/entrypoint.sh +ENTRYPOINT ["/app/.docker/laptop/entrypoint.sh"] diff --git a/.docker/laptop/Dockerfile.laptop_panda b/.docker/laptop/Dockerfile.laptop_panda new file mode 100644 index 0000000..decdf30 --- /dev/null +++ b/.docker/laptop/Dockerfile.laptop_panda @@ -0,0 +1,94 @@ +FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 + +# set robot parameters +ENV ROBOT_TYPE=panda +ENV LIBFRANKA_VERSION=0.9.0 +ENV ROBOT_IP=172.16.0.1 +ENV NUC_IP=172.16.0.2 +ENV NVIDIA_VISIBLE_DEVICES=all +ENV NVIDIA_DRIVER_CAPABILITIES \ + ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}compute,video,utility + +# set directory structure +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_OCULUS_DIR=/app/droid/oculus_reader +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# copy project code to container +COPY . /app +WORKDIR /app + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 zstd && \ + apt-get upgrade -y + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# create conda environment +RUN conda create -n "robot" python=3.7 +SHELL ["conda", "run", "-n", "robot", "/bin/bash", "-c"] + +# install the zed sdk +ARG UBUNTU_RELEASE_YEAR=22 +ARG ZED_SDK_MAJOR=4 +ARG ZED_SDK_MINOR=0 +ARG CUDA_MAJOR=12 +ARG CUDA_MINOR=1 + +RUN echo "Europe/Paris" > /etc/localtime ; echo "CUDA Version ${CUDA_MAJOR}.${CUDA_MINOR}.0" > /usr/local/cuda/version.txt + +# setup the ZED SDK +RUN apt-get update -y || true ; apt-get install --no-install-recommends lsb-release wget less udev sudo zstd build-essential cmake python3 python3-pip libpng-dev libgomp1 -y && \ + python3 -m pip install numpy opencv-python && \ + wget -q -O ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run https://download.stereolabs.com/zedsdk/${ZED_SDK_MAJOR}.${ZED_SDK_MINOR}/cu${CUDA_MAJOR}${CUDA_MINOR%.*}/ubuntu${UBUNTU_RELEASE_YEAR} && \ + chmod +x ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + ./ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run -- silent skip_tools skip_cuda && \ + ln -sf /lib/x86_64-linux-gnu/libusb-1.0.so.0 /usr/lib/x86_64-linux-gnu/libusb-1.0.so && \ + rm ZED_SDK_Linux_Ubuntu${UBUNTU_RELEASE_YEAR}.run && \ + rm -rf /var/lib/apt/lists/* + +RUN conda install -c conda-forge libstdcxx-ng requests # required for pyzed +RUN python /usr/local/zed/get_python_api.py && python -m pip install --ignore-installed /app/pyzed-4.0-cp37-cp37m-linux_x86_64.whl + +# install oculus reader +RUN add-apt-repository universe && \ + apt-get update -y && \ + apt-get install -y android-tools-fastboot +RUN pip3 install -e $NUC_OCULUS_DIR && \ + apt install -y android-tools-adb && \ + rm -rf /var/lib/apt/lists/* + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# set polymetis config files +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# start the server +RUN chmod +x /app/.docker/laptop/entrypoint.sh +ENTRYPOINT ["/app/.docker/laptop/entrypoint.sh"] diff --git a/.docker/laptop/docker-compose-laptop-data-upload.yaml b/.docker/laptop/docker-compose-laptop-data-upload.yaml new file mode 100644 index 0000000..3d7c1b4 --- /dev/null +++ b/.docker/laptop/docker-compose-laptop-data-upload.yaml @@ -0,0 +1,34 @@ +version: "3" + +services: + laptop_setup: + image: ghcr.io/alexanderkhazatsky/droid:laptop_fer + environment: + ROOT_DIR: ${ROOT_DIR} + DISPLAY: ${DISPLAY} + XAUTHORITY: ${DOCKER_XAUTH} + ROBOT_TYPE: ${ROBOT_TYPE} + LIBFRANKA_VERSION: ${LIBFRANKA_VERSION} + NUC_IP: ${NUC_IP} + ROBOT_IP: ${ROBOT_IP} + LAPTOP_IP: ${LAPTOP_IP} + NVIDIA_VISIBLE_DEVICES: all + ANDROID_ADB_SERVER_ADDRESS: host.docker.internal + volumes: + - /tmp/.X11-unix:/tmp/.X11-unix:rw + - ${DOCKER_XAUTH}:${DOCKER_XAUTH} + - ${ROOT_DIR}/droid/misc/parameters.py:/app/droid/misc/parameters.py + - ${ROOT_DIR}/droid/calibration/calibration_info.json:/app/droid/calibration/calibration_info.json + - ${ROOT_DIR}/data:/app/data + - ${ROOT_DIR}/cache:/app/cache + - ${ROOT_DIR}/droid-credentials.json:/app/droid-credentials.json + - ${ROOT_DIR}/scripts/postprocess.py:/app/scripts/postprocess.py + build: + context: ../../ + dockerfile: .docker/laptop/Dockerfile.laptop + devices: + - "/dev:/dev" + runtime: nvidia + privileged: true + network_mode: "host" + command: python /app/scripts/postprocess.py diff --git a/.docker/laptop/docker-compose-laptop.yaml b/.docker/laptop/docker-compose-laptop.yaml new file mode 100644 index 0000000..614694e --- /dev/null +++ b/.docker/laptop/docker-compose-laptop.yaml @@ -0,0 +1,37 @@ +version: "3" + +services: + laptop_setup: + image: ghcr.io/droid-dataset/droid_laptop:${ROBOT_TYPE} + environment: + ROOT_DIR: ${ROOT_DIR} + DISPLAY: ${DISPLAY} + XAUTHORITY: ${DOCKER_XAUTH} + ROBOT_TYPE: ${ROBOT_TYPE} + LIBFRANKA_VERSION: ${LIBFRANKA_VERSION} + NUC_IP: ${NUC_IP} + ROBOT_IP: ${ROBOT_IP} + LAPTOP_IP: ${LAPTOP_IP} + NVIDIA_VISIBLE_DEVICES: all + ANDROID_ADB_SERVER_ADDRESS: host.docker.internal + volumes: + - /tmp/.X11-unix:/tmp/.X11-unix:rw + - ${DOCKER_XAUTH}:${DOCKER_XAUTH} + - ${ROOT_DIR}/droid/misc/parameters.py:/app/droid/misc/parameters.py + - ${ROOT_DIR}/droid/calibration/calibration_info.json:/app/droid/calibration/calibration_info.json + - ${ROOT_DIR}/data:/app/data + - ${ROOT_DIR}/cache:/app/cache + build: + context: ../../ + dockerfile: .docker/laptop/Dockerfile.laptop + args: + ROOT_DIR: ${ROOT_DIR} + ROBOT_TYPE: ${ROBOT_TYPE} + NUC_IP: ${NUC_IP} + ROBOT_IP: ${ROBOT_IP} + devices: + - "/dev:/dev" + runtime: nvidia + privileged: true + network_mode: "host" + command: python /app/scripts/main.py diff --git a/.docker/laptop/entrypoint.sh b/.docker/laptop/entrypoint.sh new file mode 100644 index 0000000..2b93856 --- /dev/null +++ b/.docker/laptop/entrypoint.sh @@ -0,0 +1,8 @@ +#!/bin/bash + +# activate conda +source ~/miniconda3/bin/activate +conda activate robot + +# run user command +exec "$@" diff --git a/.docker/nuc/Dockerfile.nuc b/.docker/nuc/Dockerfile.nuc new file mode 100644 index 0000000..912a91a --- /dev/null +++ b/.docker/nuc/Dockerfile.nuc @@ -0,0 +1,81 @@ +# pull ubuntu base image +FROM ubuntu:bionic + +# build args +ARG ROBOT_TYPE=${ROBOT_TYPE} +ARG LIBFRANKA_VERSION=${LIBFRANKA_VERSION} +ARG ROBOT_IP=${ROBOT_IP} +ARG NUC_IP=${NUC_IP} +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# runtime env vars +ENV ROBOT_TYPE=${ROBOT_TYPE} +ENV LIBFRANKA_VERSION=${LIBFRANKA_VERSION} +ENV ROBOT_IP=${ROBOT_IP} +ENV NUC_IP=${NUC_IP} + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 && \ + apt-get upgrade -y + +# install latest cmake version +RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \ + apt-add-repository 'deb https://apt.kitware.com/ubuntu/ bionic main' && \ + apt-get update && \ + apt-get install -y cmake + +# copy project code to container +COPY . /app +WORKDIR /app + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# setup polymetis conda env +WORKDIR ${NUC_POLYMETIS_DIR} +RUN conda env create -f ./polymetis/environment.yml && \ + conda run -n polymetis-local pip install -e ./polymetis +SHELL ["conda", "run", "-n", "polymetis-local", "/bin/bash", "-c"] + +# build libfranka and polymetis +RUN ./scripts/build_libfranka.sh ${LIBFRANKA_VERSION} && \ + mkdir -p ./polymetis/build && \ + cd ./polymetis/build && \ + cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_FRANKA=ON -DBUILD_TESTS=ON -DBUILD_DOCS=ON && \ + make -j + +# set polymetis config files +WORKDIR /app +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# start the server +RUN chmod +x /app/scripts/server/launch_server.sh +ENTRYPOINT ["/app/scripts/server/launch_server.sh"] + diff --git a/.docker/nuc/Dockerfile.nuc_fr3 b/.docker/nuc/Dockerfile.nuc_fr3 new file mode 100644 index 0000000..41702d3 --- /dev/null +++ b/.docker/nuc/Dockerfile.nuc_fr3 @@ -0,0 +1,77 @@ +# pull ubuntu base image +FROM ubuntu:bionic + +# set robot parameters +ENV ROBOT_TYPE=fr3 +ENV LIBFRANKA_VERSION=0.10.0 +ENV ROBOT_IP=172.16.0.1 +ENV NUC_IP=172.16.0.2 + +# set directory structure +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 && \ + apt-get upgrade -y + +# install latest cmake version +RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \ + apt-add-repository 'deb https://apt.kitware.com/ubuntu/ bionic main' && \ + apt-get update && \ + apt-get install -y cmake + +# copy project code to container +COPY . /app +WORKDIR /app + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# setup polymetis conda env +WORKDIR ${NUC_POLYMETIS_DIR} +RUN conda env create -f ./polymetis/environment.yml && \ + conda run -n polymetis-local pip install -e ./polymetis +SHELL ["conda", "run", "-n", "polymetis-local", "/bin/bash", "-c"] + +# build libfranka and polymetis +RUN ./scripts/build_libfranka.sh ${LIBFRANKA_VERSION} && \ + mkdir -p ./polymetis/build && \ + cd ./polymetis/build && \ + cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_FRANKA=ON -DBUILD_TESTS=ON -DBUILD_DOCS=ON && \ + make -j + +# set polymetis config files +WORKDIR /app +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# start the server +RUN chmod +x /app/scripts/server/launch_server.sh +ENTRYPOINT ["/app/scripts/server/launch_server.sh"] + diff --git a/.docker/nuc/Dockerfile.nuc_panda b/.docker/nuc/Dockerfile.nuc_panda new file mode 100644 index 0000000..29849f3 --- /dev/null +++ b/.docker/nuc/Dockerfile.nuc_panda @@ -0,0 +1,77 @@ +# pull ubuntu base image +FROM ubuntu:bionic + +# set robot parameters +ENV ROBOT_TYPE=panda +ENV LIBFRANKA_VERSION=0.9.0 +ENV ROBOT_IP=172.16.0.1 +ENV NUC_IP=172.16.0.2 + +# set directory structure +ARG NUC_POLYMETIS_DIR=/app/droid/fairo/polymetis +ARG NUC_ROBOT_CONFIG_DIR=/app/config/${ROBOT_TYPE} +ARG NUC_POLYMETIS_CONFIG_DIR=${NUC_POLYMETIS_DIR}/polymetis/conf + +# base system installations +RUN apt-get update && \ + apt-get install -y software-properties-common build-essential sudo git curl wget python3-pip libspdlog-dev \ + libeigen3-dev lsb-release ffmpeg libsm6 libxext6 && \ + apt-get upgrade -y + +# install latest cmake version +RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null && \ + apt-add-repository 'deb https://apt.kitware.com/ubuntu/ bionic main' && \ + apt-get update && \ + apt-get install -y cmake + +# copy project code to container +COPY . /app +WORKDIR /app + +# install miniconda +RUN wget \ + https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \ + && mkdir /root/.conda \ + && bash Miniconda3-latest-Linux-x86_64.sh -b \ + && rm -f Miniconda3-latest-Linux-x86_64.sh +ENV PATH /root/miniconda3/bin:$PATH + +# setup polymetis conda env +WORKDIR ${NUC_POLYMETIS_DIR} +RUN conda env create -f ./polymetis/environment.yml && \ + conda run -n polymetis-local pip install -e ./polymetis +SHELL ["conda", "run", "-n", "polymetis-local", "/bin/bash", "-c"] + +# build libfranka and polymetis +RUN ./scripts/build_libfranka.sh ${LIBFRANKA_VERSION} && \ + mkdir -p ./polymetis/build && \ + cd ./polymetis/build && \ + cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_FRANKA=ON -DBUILD_TESTS=ON -DBUILD_DOCS=ON && \ + make -j + +# set polymetis config files +WORKDIR /app +RUN cp ${NUC_ROBOT_CONFIG_DIR}/franka_hardware.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_client/franka_hardware.yaml && \ + cp ${NUC_ROBOT_CONFIG_DIR}/franka_panda.yaml ${NUC_POLYMETIS_CONFIG_DIR}/robot_model/franka_panda.yaml + +# python environment setup +RUN pip3 install -e . && \ + pip3 install dm-robotics-moma==0.5.0 --no-deps && \ + pip3 install dm-robotics-transformations==0.5.0 --no-deps && \ + pip3 install dm-robotics-agentflow==0.5.0 --no-deps && \ + pip3 install dm-robotics-geometry==0.5.0 --no-deps && \ + pip3 install dm-robotics-manipulation==0.5.0 --no-deps && \ + pip3 install dm-robotics-controllers==0.5.0 --no-deps + +# using miniconda instead of anaconda so overwrite sh scripts +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's/anaconda/miniconda/g' {} \; + +# set absolute paths +RUN find /app/droid/franka -type f -name "launch_*.sh" -exec sed -i 's|~|/root|g' {} \; +RUN find /app/scripts/server -type f -name "launch_server.sh" -exec sed -i 's|~|/root|g' {} \; + +# start the server +RUN chmod +x /app/scripts/server/launch_server.sh +ENTRYPOINT ["/app/scripts/server/launch_server.sh"] + diff --git a/.docker/nuc/docker-compose-nuc.yaml b/.docker/nuc/docker-compose-nuc.yaml new file mode 100644 index 0000000..7d4f036 --- /dev/null +++ b/.docker/nuc/docker-compose-nuc.yaml @@ -0,0 +1,37 @@ +version: "3" + +services: + setup_nuc: + image: ghcr.io/droid-dataset/droid_nuc:${ROBOT_TYPE} + environment: + ROBOT_TYPE: ${ROBOT_TYPE} + LIBFRANKA_VERSION: ${LIBFRANKA_VERSION} + NUC_IP: ${NUC_IP} + ROBOT_IP: ${ROBOT_IP} + LAPTOP_IP: ${LAPTOP_IP} + volumes: + - ${ROOT_DIR}/droid/misc/parameters.py:/app/droid/misc/parameters.py + - ${ROOT_DIR}/config/${ROBOT_TYPE}/franka_hardware.yaml:/app/droid/fairo/polymetis/polymetis/conf/robot_client/franka_hardware.yaml + - ${ROOT_DIR}/config/${ROBOT_TYPE}/franka_panda.yaml:/app/droid/fairo/polymetis/polymetis/conf/robot_model/franka_panda.yaml + build: + context: ../../ + dockerfile: .docker/nuc/Dockerfile.nuc + args: + ROBOT_TYPE: ${ROBOT_TYPE} + LIBFRANKA_VERSION: ${LIBFRANKA_VERSION} + NUC_IP: ${NUC_IP} + ROBOT_IP: ${ROBOT_IP} + LAPTOP_IP: ${LAPTOP_IP} + devices: + - "/dev:/dev" + privileged: true + network_mode: "host" + cap_add: + - SYS_NICE + ulimits: + rtprio: 99 + memlock: 102400 + deploy: + restart_policy: + condition: any + diff --git a/.github/workflows/build_container_laptop_fr3.yaml b/.github/workflows/build_container_laptop_fr3.yaml new file mode 100644 index 0000000..0d69fd2 --- /dev/null +++ b/.github/workflows/build_container_laptop_fr3.yaml @@ -0,0 +1,60 @@ +name: build laptop fr3 container and host on ghcr.io + +on: + push: + branches: ['main'] + paths: + - .gitmodules + - droid/** + - .docker/laptop/* + - .github/workflows/build_container_laptop_fr3 + workflow_dispatch: + +env: + REGISTRY: ghcr.io + ORG_NAME: droid-dataset + IMAGE_NAME: droid_laptop + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + + - name: Checkout repository + uses: actions/checkout@v3 + with: + submodules: recursive + + - name: Free Space + run: | + sudo rm -rf /opt/ghc + sudo rm -rf /opt/hostedtoolcache + sudo rm -rf /usr/share/dotnet + sudo rm -rf "$AGENT_TOOLSDIRECTORY" + sudo rm -rf ${GITHUB_WORKSPACE}/.git + + - name: Set up QEMU + uses: docker/setup-qemu-action@v2 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push Docker image + uses: docker/build-push-action@v3 + with: + context: . + file: .docker/laptop/Dockerfile.laptop_fr3 + push: true + no-cache: true + tags: ${{ env.REGISTRY }}/${{ env.ORG_NAME }}/${{ env.IMAGE_NAME }}:fr3 diff --git a/.github/workflows/build_container_laptop_panda.yaml b/.github/workflows/build_container_laptop_panda.yaml new file mode 100644 index 0000000..7d50a18 --- /dev/null +++ b/.github/workflows/build_container_laptop_panda.yaml @@ -0,0 +1,60 @@ +name: build laptop panda container and host on ghcr.io + +on: + push: + branches: ['main'] + paths: + - .gitmodules + - droid/** + - .docker/laptop/* + - .github/workflows/build_container_laptop_panda + workflow_dispatch: + +env: + REGISTRY: ghcr.io + ORG_NAME: droid-dataset + IMAGE_NAME: droid_laptop + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + + - name: Checkout repository + uses: actions/checkout@v3 + with: + submodules: recursive + + - name: Free Space + run: | + sudo rm -rf /opt/ghc + sudo rm -rf /opt/hostedtoolcache + sudo rm -rf /usr/share/dotnet + sudo rm -rf "$AGENT_TOOLSDIRECTORY" + sudo rm -rf ${GITHUB_WORKSPACE}/.git + + - name: Set up QEMU + uses: docker/setup-qemu-action@v2 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push Docker image + uses: docker/build-push-action@v3 + with: + context: . + file: .docker/laptop/Dockerfile.laptop_panda + push: true + no-cache: true + tags: ${{ env.REGISTRY }}/${{ env.ORG_NAME }}/${{ env.IMAGE_NAME }}:panda diff --git a/.github/workflows/build_container_nuc_fr3.yaml b/.github/workflows/build_container_nuc_fr3.yaml new file mode 100644 index 0000000..e562e8f --- /dev/null +++ b/.github/workflows/build_container_nuc_fr3.yaml @@ -0,0 +1,51 @@ +name: build nuc fr3 container and host on ghcr.io + +on: + push: + branches: ['main'] + paths: + - .gitmodules + - droid/** + - .docker/nuc/* + - .github/workflows/build_container_nuc_fr3 + workflow_dispatch: + +env: + REGISTRY: ghcr.io + ORG_NAME: droid-dataset + IMAGE_NAME: droid_nuc + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - name: Checkout repository + uses: actions/checkout@v3 + with: + submodules: recursive + + - name: Set up QEMU + uses: docker/setup-qemu-action@v2 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push Docker image + uses: docker/build-push-action@v3 + with: + context: . + file: .docker/nuc/Dockerfile.nuc_fr3 + push: true + no-cache: true + tags: ${{ env.REGISTRY }}/${{ env.ORG_NAME }}/${{ env.IMAGE_NAME }}:fr3 diff --git a/.github/workflows/build_container_nuc_panda.yaml b/.github/workflows/build_container_nuc_panda.yaml new file mode 100644 index 0000000..531ca5f --- /dev/null +++ b/.github/workflows/build_container_nuc_panda.yaml @@ -0,0 +1,51 @@ +name: build nuc panda container and host on ghcr.io + +on: + push: + branches: ['main'] + paths: + - .gitmodules + - droid/** + - .docker/nuc/* + - .github/workflows/build_container_nuc_panda + workflow_dispatch: + +env: + REGISTRY: ghcr.io + ORG_NAME: droid-dataset + IMAGE_NAME: droid_nuc + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - name: Checkout repository + uses: actions/checkout@v3 + with: + submodules: recursive + + - name: Set up QEMU + uses: docker/setup-qemu-action@v2 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Log in to the Container registry + uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build and push Docker image + uses: docker/build-push-action@v3 + with: + context: . + file: .docker/nuc/Dockerfile.nuc_panda + push: true + no-cache: true + tags: ${{ env.REGISTRY }}/${{ env.ORG_NAME }}/${{ env.IMAGE_NAME }}:panda diff --git a/.github/workflows/pages.yaml b/.github/workflows/pages.yaml new file mode 100644 index 0000000..edd0e4c --- /dev/null +++ b/.github/workflows/pages.yaml @@ -0,0 +1,59 @@ +name: Deploy Documentation + +on: + push: + branches: + - "main" + paths: + - "docs/**" + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +# Allow one concurrent deployment +concurrency: + group: "pages" + cancel-in-progress: true + +jobs: + # Build job + build: + runs-on: ubuntu-latest + defaults: + run: + working-directory: docs + steps: + - name: Checkout + uses: actions/checkout@v3 + - name: Setup Ruby + uses: ruby/setup-ruby@v1 + with: + ruby-version: '3.1' # Not needed with a .ruby-version file + bundler-cache: true # runs 'bundle install' and caches installed gems automatically + cache-version: 0 # Increment this number if you need to re-download cached gems + working-directory: '${{ github.workspace }}/docs' + - name: Setup Pages + id: pages + uses: actions/configure-pages@v3 + - name: Build with Jekyll + run: bundle exec jekyll build --baseurl "${{ steps.pages.outputs.base_path }}" + env: + JEKYLL_ENV: production + - name: Upload artifact + uses: actions/upload-pages-artifact@v1 + with: + path: "docs/_site/" + + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + runs-on: ubuntu-latest + needs: build + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v2 diff --git a/.github/workflows/pre-commit.yaml b/.github/workflows/pre-commit.yaml new file mode 100644 index 0000000..be3e654 --- /dev/null +++ b/.github/workflows/pre-commit.yaml @@ -0,0 +1,22 @@ +name: pre-commit + +on: + workflow_dispatch: + schedule: + - cron: "0 9 * * 1" + pull_request: + push: + branches: [main] + +jobs: + pre-commit: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v2 + with: + fetch-depth: 0 + - uses: actions/setup-python@v2 + - uses: pre-commit/action@v2.0.3 + with: + token: ${{ secrets.GITHUB_TOKEN }} + extra_args: --files diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 0000000..c0cd7dc --- /dev/null +++ b/.gitmodules @@ -0,0 +1,6 @@ +[submodule "droid/oculus_reader"] + path = droid/oculus_reader + url = git@github.com:rail-berkeley/oculus_reader.git +[submodule "droid/fairo"] + path = droid/fairo + url = https://github.com/facebookresearch/fairo.git diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..11f56f7 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,36 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +exclude: ".git" +default_stages: + - commit + +repos: + - repo: https://github.com/charliermarsh/ruff-pre-commit + rev: v0.0.252 + hooks: + - id: ruff + args: [ --fix, --exit-non-zero-on-fix ] + + - repo: https://github.com/timothycrosley/isort + rev: 5.12.0 + hooks: + - id: isort + + - repo: https://github.com/psf/black + rev: 23.1.0 + hooks: + - id: black + + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.4.0 + hooks: + - id: check-added-large-files + args: ["--maxkb=40000"] + - id: check-ast + - id: check-case-conflict + - id: check-merge-conflict + - id: check-toml + - id: check-yaml + - id: end-of-file-fixer + - id: trailing-whitespace + - id: debug-statements diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..8d646a4 --- /dev/null +++ b/Makefile @@ -0,0 +1,17 @@ +.PHONY: help check autoformat +.DEFAULT: help + +# Generates a useful overview/help message for various make features - add to this as necessary! +help: + @echo "make check" + @echo " Run code style and linting (black, ruff) *without* changing files!" + @echo "make autoformat" + @echo " Run code styling (black, ruff) and update in place - committing with pre-commit also does this." + +check: + black --check . + ruff check --show-source . + +autoformat: + black . + ruff check --fix --show-fixes . diff --git a/README.md b/README.md new file mode 100644 index 0000000..dfb33b5 --- /dev/null +++ b/README.md @@ -0,0 +1,20 @@ +# The DROID Robot Platform + +This repository contains the code for setting up your DROID robot platform and using it to collect teleoperated demonstration data. This platform was used to collect the [DROID dataset](XXX), a large, in-the-wild dataset of robot manipulations. + +If you are interested in using the DROID dataset for training robot policies, please check out our [policy learning repo](XXX). +For more information about DROID, please see the following links: + +[**[Homepage]**](XXX)   [**[Documentation]**](XXX)   [**[Paper]**](XXX)   [**[Dataset Visualizer]**](XXX). + +--------- +## Setup Guide + +We assembled a step-by-step guide for setting up the DROID robot platform in our [developer documentation](XXX). +This guide has been used to set up 18 DROID robot platforms over the course of the DROID dataset collection. Please refer to the steps in this guide for setting up your own robot. Specifically, you can follow these key steps: + +1. [Hardware Assembly and Setup](XXX) +2. [Software Installation and Setup](XXX) +3. [Example Workflows to collect data or calibrate cameras](XXX) + +If you encounter issues during setup, please raise them as issues in this github repo. diff --git a/config/fr3/franka_hardware.yaml b/config/fr3/franka_hardware.yaml new file mode 100644 index 0000000..8f0f2f2 --- /dev/null +++ b/config/fr3/franka_hardware.yaml @@ -0,0 +1,92 @@ +hz: 1000 +use_real_time: true +exec: franka_panda_client + +robot_client: + _target_: polymetis.robot_client.executable_robot_client.ExecutableRobotClient + use_real_time: ${use_real_time} + metadata_cfg: + _target_: polymetis.robot_client.metadata.RobotClientMetadata + default_Kq: [40, 30, 50, 25, 35, 25, 10] + default_Kqd: [4, 6, 5, 5, 3, 2, 1] + default_Kx: [400, 400, 400, 15, 15, 15] + default_Kxd: [37, 37, 37, 2, 2, 2] + hz: ${hz} + robot_model_cfg: ${robot_model} + executable_cfg: + robot_ip: "172.16.0.1" + control_ip: ${ip} + control_port: ${port} + readonly: false + mock: false + use_real_time: ${use_real_time} + hz: ${hz} + num_dofs: ${robot_model.num_dofs} + exec: ${exec} + robot_client_metadata_path: ??? + + limit_rate: true + lpf_cutoff_frequency: 100 + + limits: + # bounding box of the workspace + cartesian_pos_upper: + - 1.0 + - 1.0 + - 1.0 + cartesian_pos_lower: + - -1.0 + - -1.0 + - -1.0 + + # the remaining limits are set to the original franka limits minus a margin + joint_pos_upper: #margin: 0.1 rad + - 2.65 + - 1.68 + - 2.80 + - -0.16 + - 2.70 + - 4.40 + - 2.90 + joint_pos_lower: #margin: 0.1 rad + - -2.65 + - -1.68 + - -2.80 + - -2.95 + - -2.70 + - 0.45 + - -2.90 + joint_vel: #margin: 0.1 rad/s + - 2.075 + - 2.075 + - 2.075 + - 2.075 + - 2.51 + - 2.51 + - 2.51 + elbow_vel: 2.075 #margin: 0.1 rad/s + joint_torques: #margin: 1N for first 4 joints, 0.5N for last 3 joints + - 86.0 + - 86.0 + - 86.0 + - 86.0 + - 11.5 + - 11.5 + - 11.5 + + collision_behavior: + lower_torque: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + upper_torque: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + lower_force: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + upper_force: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + + safety_controller: + is_active: true + margins: # margin from hard safety limits at which safety controllers start to kick in + cartesian_pos: 0.05 + joint_pos: 0.2 + joint_vel: 0.5 + stiffness: + cartesian_pos: 200.0 + joint_pos: 50.0 + joint_vel: 20.0 diff --git a/config/fr3/franka_panda.yaml b/config/fr3/franka_panda.yaml new file mode 100644 index 0000000..5a1520e --- /dev/null +++ b/config/fr3/franka_panda.yaml @@ -0,0 +1,11 @@ +# @package _group_ +robot_description_path: "franka_panda/panda_arm.urdf" +controlled_joints: [0, 1, 2, 3, 4, 5, 6] +num_dofs: 7 +ee_link_idx: 7 +ee_link_name: panda_link8 +rest_pose: [-0.13935425877571106, -0.020481698215007782, -0.05201413854956627, -2.0691256523132324, 0.05058913677930832, 2.0028650760650635, -0.9167874455451965] +joint_limits_low: [-2.7437, -1.7837, -2.9007, -3.0421, -2.8065, 0.5445, -3.0159] +joint_limits_high: [2.7437, 1.7837, 2.9007, -0.1518, 2.8065, 4.5169, 3.0159] +joint_damping: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] +torque_limits: [87., 87., 87., 87., 12., 12., 12.] diff --git a/config/panda/franka_hardware.yaml b/config/panda/franka_hardware.yaml new file mode 100644 index 0000000..ab28286 --- /dev/null +++ b/config/panda/franka_hardware.yaml @@ -0,0 +1,92 @@ +hz: 1000 +use_real_time: true +exec: franka_panda_client + +robot_client: + _target_: polymetis.robot_client.executable_robot_client.ExecutableRobotClient + use_real_time: ${use_real_time} + metadata_cfg: + _target_: polymetis.robot_client.metadata.RobotClientMetadata + default_Kq: [40, 30, 50, 25, 35, 25, 10] + default_Kqd: [4, 6, 5, 5, 3, 2, 1] + default_Kx: [400, 400, 400, 15, 15, 15] + default_Kxd: [37, 37, 37, 2, 2, 2] + hz: ${hz} + robot_model_cfg: ${robot_model} + executable_cfg: + robot_ip: "172.16.0.2" + control_ip: ${ip} + control_port: ${port} + readonly: false + mock: false + use_real_time: ${use_real_time} + hz: ${hz} + num_dofs: ${robot_model.num_dofs} + exec: ${exec} + robot_client_metadata_path: ??? + + limit_rate: true + lpf_cutoff_frequency: 100 + + limits: + # bounding box of the workspace + cartesian_pos_upper: + - 1.0 + - 1.0 + - 1.0 + cartesian_pos_lower: + - -1.0 + - -1.0 + - -1.0 + + # the remaining limits are set to the original franka limits minus a margin + joint_pos_upper: #margin: 0.1 rad + - 2.80 + - 1.66 + - 2.80 + - -0.17 + - 2.80 + - 3.65 + - 2.80 + joint_pos_lower: #margin: 0.1 rad + - -2.80 + - -1.66 + - -2.80 + - -2.97 + - -2.80 + - 0.08 + - -2.80 + joint_vel: #margin: 0.1 rad/s + - 2.075 + - 2.075 + - 2.075 + - 2.075 + - 2.51 + - 2.51 + - 2.51 + elbow_vel: 2.075 #margin: 0.1 rad/s + joint_torques: #margin: 1N for first 4 joints, 0.5N for last 3 joints + - 86.0 + - 86.0 + - 86.0 + - 86.0 + - 11.5 + - 11.5 + - 11.5 + + collision_behavior: + lower_torque: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + upper_torque: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + lower_force: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + upper_force: [40.0, 40.0, 40.0, 40.0, 40.0, 40.0] + + safety_controller: + is_active: true + margins: # margin from hard safety limits at which safety controllers start to kick in + cartesian_pos: 0.05 + joint_pos: 0.2 + joint_vel: 0.5 + stiffness: + cartesian_pos: 200.0 + joint_pos: 50.0 + joint_vel: 20.0 diff --git a/config/panda/franka_panda.yaml b/config/panda/franka_panda.yaml new file mode 100644 index 0000000..0c7d971 --- /dev/null +++ b/config/panda/franka_panda.yaml @@ -0,0 +1,11 @@ +# @package _group_ +robot_description_path: "franka_panda/panda_arm.urdf" +controlled_joints: [0, 1, 2, 3, 4, 5, 6] +num_dofs: 7 +ee_link_idx: 7 +ee_link_name: panda_link8 +rest_pose: [-0.13935425877571106, -0.020481698215007782, -0.05201413854956627, -2.0691256523132324, 0.05058913677930832, 2.0028650760650635, -0.9167874455451965] +joint_limits_low: [-2.8973, -1.7628, -2.8973, -3.0718, -2.8973, -0.0175, -2.8973] +joint_limits_high: [2.8973, 1.7628, 2.8973, -0.0698, 2.8973, 3.7525, 2.8973] +joint_damping: [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] +torque_limits: [87., 87., 87., 87., 12., 12., 12.] diff --git a/docs/Gemfile b/docs/Gemfile new file mode 100644 index 0000000..3aec09b --- /dev/null +++ b/docs/Gemfile @@ -0,0 +1,7 @@ +source 'https://rubygems.org' + +gem "jekyll", "~> 4.3.3" # installed by `gem jekyll` +# gem "webrick" # required when using Ruby >= 3 and Jekyll <= 4.2.2 + +gem "just-the-docs", "0.7.0" # pinned to the current release +# gem "just-the-docs" # always download the latest release diff --git a/docs/_config.yml b/docs/_config.yml new file mode 100644 index 0000000..9a0eeeb --- /dev/null +++ b/docs/_config.yml @@ -0,0 +1,9 @@ +title: DROID Docs +description: Developer documentation for recreating the DROID platform setup. +theme: just-the-docs + +url: https://peterdavidfagan.github.io/DROID # this url not being used right now +color_scheme: droid # TODO: update name to DROID + +aux_links: + Official GitHub Repository: https://github.com/AlexanderKhazatsky/DROID diff --git 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0000000..a702f3c --- /dev/null +++ b/docs/contribution-guidelines.md @@ -0,0 +1,11 @@ +--- +layout: default +title: Contribution Guidelines +nav_order: 6 +--- + +# Contribution Guidelines + +Community contributions to broader robotics community data collection efforts are welcomed. The platform developed in the DROID project can be used to curate datasets to be contributed to community data collection efforts such as the [Open X-Embodiment](https://robotics-transformer-x.github.io/) data collection effort. + +To contribute to the Open X-Embodiment project consider enrolling your dataset using the following [form](https://docs.google.com/forms/d/e/1FAIpQLSeYinS_Y5Bf1ufTnlROULVquD4gw6xY_wUBssfVYkHNaPp4LQ/viewform) and/or reaching out to the associated project via the email . diff --git a/docs/example-workflows/calibrating-cameras.md b/docs/example-workflows/calibrating-cameras.md new file mode 100644 index 0000000..8104d68 --- /dev/null +++ b/docs/example-workflows/calibrating-cameras.md @@ -0,0 +1,32 @@ +--- +layout: default +title: Calibrating Cameras +parent: Example Workflows +nav_order: 2 +--- + +# Prerequisites + +This guide assumes you have already setup DROID application software to run on your host machine or through Docker. Proceed with this guide having launched the control server on the NUC and the GUI application on the laptop. + +# Calibrating Cameras + +The GUI will let you know if any of your camera’s have yet to be calibrated, or if any of your camera’s haven’t been calibrated in a while (this is to make sure you don’t accidentally move them and forget). Since the hand camera is relatively fixed, it is okay to calibrate significantly less frequently than the other cameras, but it is still good practice to calibrate it every now and then. + +Useful Information: +* If calibration is successful, you will be brought back to the calibration hub. If it is unsuccessful, the GUI will inform you as such. +* During calibration, you will see a visualization of the pose estimation of the charuco board. Stable, green boxes along with stable axes lines are good! When these are not present, a calibration is likely to fail. If things start to significantly jumble during the automated calibration procedure, feel free to press B and try again. +* Because the board is heavy, the robot may move differently when the board is attached to the gripper. +* **WARNING:** If A button click is taking a really long time. The camera might have failed. You can confirm this by looking in the terminal for a line that resembles “can’t claim interface…”. The solution is to simply close the GUI, and load it up again. Your previous calibration info will not be lost. + +## Mounting Calibration Board + +Please follow the instructions in the assembly guide for mounting the calibration board. + +## Calibrating a 3rd-Person Camera + + + +## Calibration a Hand-Mounted Camera + + diff --git a/docs/example-workflows/data-collection.md b/docs/example-workflows/data-collection.md new file mode 100644 index 0000000..e98d8fb --- /dev/null +++ b/docs/example-workflows/data-collection.md @@ -0,0 +1,44 @@ +--- +layout: default +title: Collecting Data +parent: Example Workflows +nav_order: 3 +--- + +# Prerequisites + +**Important:** Before proceeding please ensure you have followed the camera calibration guide and calibrated your cameras. + +This guide assumes you have already setup DROID application software to run on your host machine or through Docker. Proceed with this guide having launched the control server on the NUC and the GUI application on the laptop. + +# Collecting Data + +## Using the GUI + +* The GUI will start by prompting you to enter your name. + * Note 1: Your trajectories will be associated with the name you type in. So, make sure to be consistent, and type in your full name! The login page will not let you pass until you have done so. + * Note 2: Press shift to see the camera feed. Anytime you see a camera feed, confirm that there are exactly 6 images on screen. If there is anything different, halt data collection, unplug and replug the 3 camera wires, and restart the GUI. + +* After this, you will be presented with the task configuration page. This is where you enter all the tasks that are currently doable from the scene you have created for your robot. You may select from the predefined tasks using the checkboxes, or enter your own tasks in the text box. For your convenience, use the shift button to toggle between this page and the camera feed. This can be useful for checking what is in view of your cameras. + * In the upper left corner are 3 tabs: + * Task Ideas: A google doc of task ideas for inspiration split by room type (ex: bedroom, kitchen, etc) + * Preferred Tasks: We will be collecting demonstrations for 20 abstract tasks, and 20 specific tasks as a backup. These latter 20 tasks are specific instances of the 20 abstract tasks. We ask that you make sure that around once every couple xdays, you collect some trajectories for as many of these tasks as possible. Clicking this tab will bring you to a page that lists all of the specific tasks and allows you to keep track of which ones you have collected data for. + * Franka Website: This will bring you to your Franka’s website, where you can lock / unlock robot joints, as well as activate FCI mode. + +* In the lower right corner are another 3 tabs: + * Collect Trajectory: This will bring you to the requested task page, where you will be prompted with your task for the next trajectory. You may press A to begin the trajectory, or B to sample a new task if it’s necessary. + * Calibrate: This will bring you to the camera calibration page. Click the camera that you would like to calibrate. Note that because we need to turn the cameras on in high resolution, button clicks may take a while here. See the section below for more information on camera calibration. + * Practice: This will allow you to collect a trajectory without the data being saved. You can use this tool however you see fit. + +* Periodically, the GUI will prompt you with desired scene changes. Proceed with them as instructed. When the scene changes involve altering a camera position, make sure to recalibrate the associated camera! + +* Miscellaneous Notes: + * Finish trajectories in such a way that the robot can be reset (ex: nothing in gripper, as it will be dropped. + * Try to create scenes with as many available tasks as possible. + * Although we want you to stick to the requested tasks, use your best judgment. + * At any time, hold 'Return' for 5 seconds to reset the robot + +# Uploading Data + +Instructions for uploading data can be found in [this](https://github.com/droid-dataset/droid/tree/main/scripts) readme. + diff --git a/docs/example-workflows/evaluating-policies.md b/docs/example-workflows/evaluating-policies.md new file mode 100644 index 0000000..9995b9a --- /dev/null +++ b/docs/example-workflows/evaluating-policies.md @@ -0,0 +1,15 @@ +--- +layout: default +title: Evaluating Policies +parent: Example Workflows +nav_order: 5 +--- + +# Evaluating Policies + +* Run a variant of [this](https://github.com/droid-dataset/droid/blob/main/scripts/evaluation/evaluate_policy.py) file with the desired properties. + * Make sure to update policy_logdir and model_id with the desired values + * Any properties that are added to the variant will be loaded from the training folder values. +* It is recommended to start off by evaluating policies in the “Practice” tab for simplicity. +* Note: The robot will only move when you are holding down the side button of the controller. However, instead of the actions coming from your handle as during data collection, the actions will come from the policy. + diff --git a/docs/example-workflows/example-workflows.md b/docs/example-workflows/example-workflows.md new file mode 100644 index 0000000..c30e2d6 --- /dev/null +++ b/docs/example-workflows/example-workflows.md @@ -0,0 +1,18 @@ +--- +layout: default +title: Example Workflows +nav_order: 5 +has_children: true +has_toc: false +permalink: /docs/example-workflows +--- + +## 🤖 Welcome to the DROID example workflows guides + +The goal of the workflow guides is to enable users/developers to operate the DROID platform once both the hardware and software have been configured. Guides within this section cover the following topics: + +1. [Teleoperating the Robot](https://droid-dataset.github.io/droid/example-workflows/teleoperation.html): a guide on using the Oculus Quest 2 to teleoperate the robot. +2. [Calibration Cameras](https://droid-dataset.github.io/droid/example-workflows/calibrating-cameras.html): a guide on calibrating the extrinsic parameter of cameras. +3. [Collecting Data](https://droid-dataset.github.io/droid/example-workflows/data-collection.html): a guide on using the GUI to collect task demonstrations. +4. [Training Policies](https://droid-dataset.github.io/droid/example-workflows/training-policies.html): a guide on training policies using the DROID. +5. [Evaluating Policies](https://droid-dataset.github.io/droid/example-workflows/evaluating-policies.html): a guide on evaluating policies using the DROID. diff --git a/docs/example-workflows/teleoperation.md b/docs/example-workflows/teleoperation.md new file mode 100644 index 0000000..17e2189 --- /dev/null +++ b/docs/example-workflows/teleoperation.md @@ -0,0 +1,21 @@ +--- +layout: default +title: Teleoperating the Robot +parent: Example Workflows +nav_order: 1 +--- + +# Prerequisites + +This guide assumes you have already setup DROID application software to run on your host machine or through Docker. Proceed with this guide having launched the control server on the NUC and the GUI application on the laptop. + +# Teleoperating the Robot + +* To teleoperate the robot, your oculus controller should be plugged into your laptop, and the permissions prompt should be accepted (done by putting the headset on and clicking “Accept”. Also, the controller has to be in view of the headset cameras. It detects the pose of the handle via infrared stickers on the handle. +* To control the robot, we will use only the right controller. If you would like to use the left controller for teleoperation instead, change [this](https://github.com/droid-dataset/droid/blob/5f2f96b5cf9d95dde67fda21a8ab776683aeeae7/droid/controllers/oculus_controller.py#L16) parameter. +* Teleoperation works by applying the changes to the oculus handle’s pose to the robot gripper’s pose. The trigger on the front of the controller is used to control the gripper. Actions are only applied when the trigger on the side of the controller is being held. +* It is important for intuitive control that the controller’s definition of forward is aligned with the direction of the robot. The controller defines “forward” on the first step where the side button of the controller is held. At any point, you can redefine the forward direction by pressing down on the joystick until you hear a click. At some point, try changing the definition of forward to get a better feel for its purpose. +* To practice, select `Practice` from the GUI application. + + + diff --git a/docs/example-workflows/training-policies.md b/docs/example-workflows/training-policies.md new file mode 100644 index 0000000..b473f6a --- /dev/null +++ b/docs/example-workflows/training-policies.md @@ -0,0 +1,13 @@ +--- +layout: default +title: Training Policies +parent: Example Workflows +nav_order: 4 +--- + +# Training Policies + +* Run a variant of [this](https://github.com/droid-dataset/droid/blob/main/scripts/training/train_policy.py) file with the desired properties. + * If you are doing a simple BC from images sanity check task, run [this](https://github.com/droid-dataset/droid/blob/main/scripts/training/sanity_check/image_obs.py) file +* If the function of any hyperparameters are unclear, message Sasha to inquire about their utility. + diff --git a/docs/favicon.ico b/docs/favicon.ico new file mode 100644 index 0000000..fcd8da3 Binary files /dev/null and b/docs/favicon.ico differ diff --git a/docs/hardware-setup/assembly.md b/docs/hardware-setup/assembly.md new file mode 100644 index 0000000..a0841b3 --- /dev/null +++ b/docs/hardware-setup/assembly.md @@ -0,0 +1,406 @@ +--- +layout: default +title: Assembly +parent: Hardware Setup +nav_order: 2 +--- + +This assembly guide starts from constructing the standing desk, before progressing to mounting the robot on the desk and installing various other components to the platform. There are a number of design options/variations for the mobile platform, these are discussed under each of the major headings. + +
+ + Table of contents + + {: .text-delta } +1. TOC +{:toc} +
+ +## Building the Desk + +It is expected that you have procured a standing desk similar to the one listed in the shopping list. The desk you procured should be accompanied with an assembly guide please follow this guide to construct your standing desk. + +**Important:** at this stage, don't attach any extras such as trays and/or cable management items to the bottom of the desk as we will be installing components to the underside of the table in future sections of the guide. + + + +## Mounting Robot on the Desk + +### Option 1: Breadboard Base + +A flexible option for mounting the robot on the desk is to bolt a set of rails to a breadboard and subsequently mount the robot on these rails. The main advantage of this form of mount is that it is possible to reposition the rails and mount position of the robot. + +The first thing we will do is construct the rails upon which the robot will be mounted: + +* Take a 1 foot aluminum bar, and slide the bracket circled in red in the below image (yours may look different) into the left and right side of it. +* Put two of the screws (1 cm long, 5mm wide) into a corner bracket and loosely screw one side into the bracket within the 1 foot aluminum bar on either side. +* Use this technique to create a rail that looks like the rail in the third image below, and another that looks is a mirrored version of this (ie. one corner bracket in the upper right and one in the lower right) + +

+image +image +image +

+ + +Next we will mount these rails on to our breadboard: + +* Screw the aluminum bars into the breadboard in the configuration shown below. Unfortunately it’s not possible to achieve perfect symmetry when bolting the rails to the breadboard. Feel free to nudge the centering a row or column over for diversity (ex: configure it so there are two holes on the right instead of the left). + * Make sure this is one hole between the bars on the top, and 5 holes between the bars on the bottom + * **Hint:** to keep the screws from colliding when screwing them in, (lift up the bar before screwing so the screw sits at the bottom. (Insert picture) +* Slide two brackets into the top levels of each aluminum bar, we will be using these to attach the Franka. + +

+image +image +

+ +image + + +Now we mount the robot: + +* Align the brackets with the Franka screw holes, and loosely screw the robot to the base. + * If you’re using an FR3, use the[ ⅝” long screws](https://www.mcmaster.com/92949A539/) to mount the robot instead of the original screws. + +* Once everything is loosely screwed in, tighten ALL SCREWS until everything is entirely fixed! + +image + +Next place the breadboard on your standing desk: + +* Center the broadboard as much as you can on top of the desk. It should look roughly like the below image (minus the wires on the robot): + * Important: Make sure that the franka is facing the side without any desk protrusions. An example of a desk protrusion is the height adjuster on the recommended desk (seen on the back, left side of the desk below). + +image + +* Use four clamps (two on either side) to connect the breadboard to the desk. + +

+image +image +

+ +* Place the Franka power box, laptop, and NUC in the following configuration: + +

+image +image +image +

+ + + +## Mounting Additional Components on the Desk + +A requirement of the DROID platform is that it can easily be transported from one location to the next. In this section, we outline configurations for components on the desk in a way that enables greater ease of transportation. Some important points to this end: + +* Throughout this section, take time to organize loose wiring with zip ties, velcro strips and/or sticky hooks in order to keep your desk organised, it is important that wiring be as permanent as possible. +* Getting rid of as much loose wiring and making things as organized as possible during this step will make your life much easier later on! +* Cameras are mounted to the sides of the desk ensure your organise wiring such that you keep space open for moving around the camera mounting location! +* When this doc discusses the location under the desk, we will define forward using the robot. For example “Attach X to the back right side of the desk” means with respect to the direction that the robot is facing. +* Be generous with the amount of industrial strength velcro you use on power boxes, they can be heavy! +* Scroll down to see what the end product should look like. It would be a good idea to frequently come back to these images and compare. + + +### Option 1: Configuring Components on Underside of Table + +* Use velcro to attach the large power strip to the back left of the desk. +* Make sure you face the protruding wiring towards the back of the desk. +* Use velcro to attach the standing desk power box to the desk, organize the loose wiring, and plug it it into the power strip: + +image + +* Use velcro to attach the Franka emergency stop (the white button) to the the bottom of the desk. Attach it on the right hand side directly under the Franka towards the outside of the desk so it is easily accessible. Face the protruding wire towards the center of the desk to keep it from protruding: + +

+image +image +image +

+ +* Connect the emergency stop wire to the X3 port on the Franka + +image + +* Use Velcro to attach the power unit for the Robotiq gripper. Face the built in wire towards the Franka. Plug the other side in and connect it to the power strip. + +

+image +image +

+ +* Use Velcro to attach the power unit for the NUC directly under it (middle right side of the desk). Face the built in cable towards the outside of the desk. Plug in the other side and connect it to the power strip. + +

+image +image +

+ +* Connect the Franka power box power cable to the power strip: + +image + +* Connect the cable from the X1 port on the Franka to the power box + +

+image +image +image +

+ +* Use Velcro to attach the Ethernet switch under the desk on the back right hand side of the desk (under the Franka control box). +* Connect and organize the Ethernet switch power cable, the switch to Franka power box ethernet cable, the switch to NUC ethernet cable, and the switch the laptop Ethernet cable. + +

+image +image +

+ +* If you’re using our recommended laptop, use velcro to attach the power box to the bottom of the desk on the back left side, with the built-in cable facing the robot. Plug in the detachable cable and connect it to the power strip. + +image + +* You’re done! Your setup should look something like the photos below. Ignore the wires going down the robot, and the hand camera, you’ll set those up later. +* Before proceeding, please set up your robot with the Franka software as we will need to put it into zero gravity mode for the next step. Once you’ve done this, familiarize yourself with the text in the “Powering Up Franka” section of this document. + +

+image +image +image +

+ + + + +## Mounting Hand Camera on Robot + +In this section, we will specify how to mount the zed mini camera on the Franka robot arm.It will be easier to perform this part of the assembly with the Franka robot arm in a position that you have easy access to the last link of the robot (often referred to as link8). + + +* Secure the camera in the custom mount specified in the shopping list, insert a nut into the hole on the back of the mount. Insert the 10mm screw on the other side, and tighten the screw in until the attachment is tight. + +image + +* Remove the back two screws in the Franka wrist: + +image + +* Use 30mm screws to attach the hand camera to the gripper (**Important:** these are different from the default screws that come with the arm). + +image + +## Mounting Robotiq Gripper on Robot + +In this section, we will first prepare the Robotiq gripper wiring as it is non-trivial. Following this we will specify how to mount the gripper on the arm. + +### Preparing Wires + +* You should have a thick cable that has 5 exposed wires colored red, black, white, green, and silver. We are going to connect them to ports as demonstrated in the below images. + +

+image +image +image +

+ +* To connect these wires into these ports, you need to cut off some of the rubber to expose ~5mm of metal thread. Then, unscrew the bolts up top to create some space for the metal threads. Jam the metal threads into the empty space, and screw the bolts tight again on top of them. \ + +* Connect the wires as follows: + +

+image +image +

+ +* Cover these wires with a plastic of some sort to keep things from pulling on them. Then, use a Velcro strip to tightly bound everything together so that there is no pressure on the loose open wires. Otherwise, they will come loose and the gripper will stop working. Make sure to leave the outlet uncovered. + +

+image +image +image +image +

+ +* Try connecting the gripper to the AC cable. Make sure that the gripper light shines red. + +### Mount Procedure + +* To start, you should collect these screws from the box (4 x 10mm, 4 x 30mm) + +image + +* Align the gripper mount with the screw holes on the Franka wrist, with the protruding wiring facing the right of the robot. The USB port on the camera should be facing the same direction and parallel to the protruding wire. +* Use the four smaller screws to connect the gripper mount to the Franka wrist. + +image + +* Align the Robotiq gripper with the metal pins on the wrist mount similar to the picture above. Then, use the long screws to attach the gripper in all four corners. + +

+image +image +

+ +* Place a small piece of thick Velcro (soft side) over the light on the gripper. Otherwise, it will shine into the camera. +* **Important:** Gripper is rotated 180 degrees in the below for better view. + +

+image +image +

+ +## Robot Cable Management + +In this section, we will outline how to manage cables on the Franka robot arm. You’ll want to put the Franka robot arm into zero gravity mode for this section. It is also strongly recommended that you use the 12 foot Zed Mini wire that came with the camera. + +Throughout this section we’ll be strapping the wires to the robot with the velcro strips. Use the best length for each connection, and be aware that for some connections you may need to connect two strips together: + +image + + +It's important to keep the following points in mind as we work through this section: + +* Leave enough slack between each wire-to-robot connection for any possible joint configuration. Joint limits are frequently reached, so make sure you do this CAREFULLY and TEST to make sure there’s enough slack meticulously! Otherwise you could damage the equipment. +* Keep the wires organized. We do not want them catching onto things during data collection! +* When you strap the Velcro straps, strap them as tight as possible! You also may want to put zip ties on either side of the wire to keep it from slipping around. Otherwise, you will compromise the amount of slack you allotted each joint. +* After you attach each strap, you may want to move the robot around to extreme positions to make sure there’s never tension on the wire. +* As you move along the wire, use zip ties about every 5cm! + +* When you plug in the camera wire, make sure: + * You use the long Zed wire that came with it! Other wires will not support fast enough data transfer. + * When plugging the wire into the camera the side with the arrow MUST face the side with the lenses. Otherwise you will get a segmentation fault when reading the camera, even though it is a USB C connection and plugs in either way! + * It’s a bit hard to see the arrows in the pictures below, but if you look at the ZED Mini wire in real life you’ll see what I am pointing at. + +image + +* Follow the pictures below to see the joint positions to move to before adding a tight velcro strap at the specified location. +* First picture is to visualize the neutral joint position, second picture is the extreme joint position that we need enough slack for, third picture is the wire velcro strapped with enough slack for that extreme joint position. + +

+image +image +image +

+ +* This second velcro strap is just to manage loose wire along a joint. + +image + +* Visualization of the second joint extreme, and the next velcro strap location. + +image + +* Visualization of the third joint extreme, and the next velcro strap location. + +image + +* Visualization of the fourth joint extreme, and the next velcro strap location. + +image + +* Visualization of the final wiring: + +

+image +image +image +image +

+ +* Now, we will connect these wires to the rest of the mobile base. +* Organize the Robotiq wire slack left over under the desk. If you bought our suggested desk, you can use the wire holders that came with the desk to hold the slack: + +

+image +image +

+ + +* Plug in the AC adapter to the power slot you left open in the Robotiq Gripper Cable Management section. + +

+image +image +

+ +* Organize the Zed Mini wire under the desk, so it only protrudes near the laptop as follows: + +image + +## Mounting Third-Person Cameras + +In this section, we will clamp mounts for third-person cameras to desk. + +* Clamp a camera stand to either side of the desk such that the camera attached to the stand can be positioned with a view of the scene. Take the following additional points into consideration when clamping the stand to the desk. + * The clamp and camera position of the stands should be randomized as much as possible during data collection. Don't fix the stand to a single position each time. + * The robot arm can shake the table slightly as it moves. Whenever setting up the camera stand, tighten the clamp and all joints as much as possible to prevent the camera from shaking. + +

+image +image +

+ +## General Electrical Wiring + +### Power Cable Wiring + +### Ethernet Cable Wiring + +### Camera Wiring + +* To keep the Alienware laptop PCI boards from getting overloaded, it is important to connect the cameras in a very specific manner. Otherwise, you will get a Segmentation Fault. +* Plug all cameras directly into the laptop ports, without the use of any Many2One USB converters OR extension chords! +* In other words, directly plug two cameras in through the USB ports on the right side of the computer, and one directly in through the usb port on the back side of the computer. +* This should leave one USB-C port open for the oculus wiring. + + +## Mounting Calibration Board + +In this section we will outline how to mount the calibration board. + + +### Option 1: Using Magnets + +* Split long magnets into three groups of 6 stacked magnets, and put a sticky tab (provided with them) on both magnet stacks. +* Attach either (NOT THE STICKY SIDE!) to the gripper, aligning them along the metal screws as visualized below (again, the sticky side should be pointing away from the gripper!), and additionally one of the two . Be careful to evenly space the magnets so the screws are in the middle. +* **Important:** Sticky adhesive not visualized in this photo + +

+image +image +image +

+ +* Firmly press the Charuco board into the sticky side of the magnets, and hold it there for 30 seconds. + +

+image +image +image +

+ +* Try moving the gripper around manually to make sure the board stays on during movement. +* **Important:** The board dents easily. Always be very careful not to drop it. +* During data collection, you can stick the charuco board to the standing desk (for transportation) using the magnets. +* Optionally, place 3 singular magnets in sequence near the other end of the board. This can be used to stick the board to the leg of the standing desk during transportation. + +

+image +image +

+ diff --git a/docs/hardware-setup/hardware-setup.md b/docs/hardware-setup/hardware-setup.md new file mode 100644 index 0000000..e80c52a --- /dev/null +++ b/docs/hardware-setup/hardware-setup.md @@ -0,0 +1,30 @@ +--- +layout: default +title: Hardware Setup +nav_order: 2 +has_children: true +has_toc: false +permalink: /docs/hardware-setup +--- + +## 🔨 Welcome to the DROID hardware guides + +The goal of the hardware guides are to: + +1. Procure all the required hardware components +2. Assemble the hardware components into a functional platform + +### Step 1: Procure Hardware Components + +The first step to replicate the DROID platform is to procure the required hardware. In the [shopping list](https://droid-dataset.github.io/droid/hardware-setup/shopping-list), we provide an exhaustive list of required components to assemble the platform along with a list of suppliers which you can reference when procuring items. + +### Step 2: Assemble Hardware Components + +Once you have acquired the required hardware components, the [assembly guide](https://droid-dataset.github.io/droid/hardware-setup/assembly) will walk you through assembling these components into a functional data collection platform. This includes, mounting the robot, cameras and grippers and a general cable management guide. + +### Final Result + +By the end of both guides you should have a platform that resembles the image at the bottom of this page. If/when you get to this point congratulations, you are now ready to progress to the [software setup](https://droid-dataset.github.io/droid/docs/software-setup) + +image + diff --git a/docs/hardware-setup/shopping-list.md b/docs/hardware-setup/shopping-list.md new file mode 100644 index 0000000..646c481 --- /dev/null +++ b/docs/hardware-setup/shopping-list.md @@ -0,0 +1,77 @@ +--- +layout: default +title: Shopping List +parent: Hardware Setup +nav_order: 1 +--- + +# Shopping List + +## Approximate Total Cost: $20,000 + +## Robot: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| Franka Emika Panda (or) Franka Research 3 | 1 | $10,500 | [Franka Robotics](https://lp.franka.de/request-a-quote) | + +## Gripper: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| 2F-85 Robotiq Gripper | 1 | $4,700 | [Robotiq Official Site](https://robotiq.com/products/2f85-140-adaptive-robot-gripper) | +| Power Supply | 1 | $13 | [Amazon US](https://www.amazon.com/SHNITPWR-Converter-Transformer-100-240V-5-5x2-5mm/dp/B07SDRDV5B/ref=sr_1_5?gclid=Cj0KCQjwkOqZBhDNARIsAACsbfLAkpfvkq7tgnpHcJb2H4Eg7Q8Df5htlSW5inOVLktYBrb2sOOB500aAsY5EALw_wcB&hvadid=174221512760&hvdev=c&hvlocphy=9031969&hvnetw=g&hvqmt=e&hvrand=18374790677584297399&hvtargid=kwd-16464769873&hydadcr=19109_9441157&keywords=24v%2B2a%2Bpower%2Bsupply&qid=1664826676&qu=eyJxc2MiOiIzLjg2IiwicXNhIjoiMy41NyIsInFzcCI6IjMuNDIifQ%3D%3D&sr=8-5&th=1) | + +## Computers: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| NUC | 1 | $500 | [Amazon US](https://www.amazon.com/NUC11PAHi7-Mainsteam-Barebone%EF%BC%8CIntel-i7-1165G7-Components/dp/B09BKRRT2Y/ref=sr_1_3?crid=MA71JDIBHYBB&keywords=NUC%2B11%2Bi7&qid=1669688069&sprefix=nuc%2B11%2Bi7%2Caps%2C192&sr=8-3&th=1) | +| Razer Blade 15 - QHD 240 Hz - GeForce RTX 4070 - Black | 1 | $2,400 | [Razer](https://www.razer.com/gaming-laptops/Razer-Blade-15/RZ09-0485ZED3-R3U1) | +| Oculus Quest | 1 | $249 | [Meta Store](https://www.meta.com/us/quest/products/quest-2/) | +| Monitor and Keyboard (no specific specification) | 1 | $100 | | + +## Cameras: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| Zed 2 | 2 | $449 | [StereoLabs](https://store.stereolabs.com/en-gb/products/zed-2?_gl=1*1corjfm*_ga*MTE0NDI2NjE3LjE2NDk5NjcwMjM.*_ga_LQLTWBS792*MTY1MDQwMjQ2NC40LjAuMTY1MDQwMjQ2NC42MA..&_ga=2.198936172.278922144.1650231923-114426617.1649967023) | +| Zed Mini | 1 | $400 | [StereoLabs](https://store.stereolabs.com/products/zed-mini?_ga=2.58413544.391576102.1670373235-292338975.1668109772&_gl=1*1ep4wi8*_ga*MjkyMzM4OTc1LjE2NjgxMDk3NzI.*_ga_LQLTWBS792*MTY3MDcwODcxNC4xMS4xLjE2NzA3MDkzMjIuNjAuMC4w) | +| ULANZI Camera Mount | 2 | $80 | [Amazon US](https://www.amazon.com/Flexible-Adjustable-Articulated-Rotatable-Aluminum/dp/B08LV7GZVB/ref=sr_1_2?crid=2HACR1JZEBPRV&keywords=camera%2Bmount%2Bsturdy&qid=1670995104&s=electronics&sprefix=camera%2Bmount%2Bsturd%2Celectronics%2C183&sr=1-2&ufe=app_do%3Aamzn1.fos.006c50ae-5d4c-4777-9bc0-4513d670b6bc&th=1) | +| Charuco Board | 1 | $114 | [Calib.io](https://calib.io/products/charuco-targets?variant=9400454807599) | +| Camera Mount Files | 1 | $0 ($2 for print materials) | [STL files](https://drive.google.com/drive/folders/1k56XVdlfrXCX4iOlFlTlkoTh-2Px6CyD) | + +## Mobile Base: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| Screw Kit | 1 | $27 | [Amazon US](https://www.amazon.com/dp/B083SGJ7BD?ref_=cm_sw_r_cp_ud_dp_AQE4AW6MK6QAQ00SE417&th=1) | +| Standing Desk | 1 | $130 | [Amazon US](https://www.amazon.com/SHW-Electric-Height-Adjustable-Computer/dp/B08668Y49C/ref=mp_s_a_1_13?crid=21JB1RSHEAYFJ&keywords=40%2Brolling%2Bstanding%2Bdesk&qid=1644355171&sprefix=40%2Brolling%2Bstanding%2Bdesk%2Caps%2C298&sr=8-13&th=1) | +| Breadboard | 1 | $100 | [Newport](https://www.newport.com/p/SA2-13) | +| Clamps | 4 | $12 | [MSCDirect](https://www.mscdirect.com/product/details/67105742?cid=ppc-google-New+-+Clamping%2C+Workholding+%26+Positioning+-+PLA_sxxmVRNtt___164124448499_c_S&mkwid=sxxmVRNtt%7Cdc&pcrid=164124448499&rd=k&product_id=67105742&gclid=CjwKCAjw8e7mBRBsEiwAPVxxiGVA1SyGmWreg4kKH1lWPj3AiQYlmnwmHUBFVUUj3xBSkY_9NFEHZxoC_XYQAvD_BwE) | +| Aluminum Bars (12 inches) | 2 | $0.35 (per inch) | [8020](https://8020.net/1010.html) | +| Screws + T-Nuts | 12 | $0.66 | [8020](https://8020.net/3393.html) | +| Screws (For FR3 Only) | 1 | $10 | [McMaster-Carr](https://www.mcmaster.com/92949A539/) | + +## Chords: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| USB port | 1 | $10 | [Amazon US](https://www.amazon.com/BYEASY-Portable-Applicable-MacBook-Notebook/dp/B07FH7XJCD/ref=mp_s_a_1_1_sspa?crid=13LJFDB63AIUY&keywords=many%2Bto%2Bone%2Busb&qid=1674798390&sprefix=many%2Bto%2Bone%2Busb%2Caps%2C689&sr=8-1-spons&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUE1TVhTSDhZS0dXRTImZW5jcnlwdGVkSWQ9QTA0Njg0MjVSMEpFNzBUMzBOQ1cmZW5jcnlwdGVkQWRJZD1BMDc3NDUxOTFSTFdQOFNMQjFWMEcmd2lkZ2V0TmFtZT1zcF9waG9uZV9zZWFyY2hfYXRmJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ&th=1) | +| Ethernet Cable | 3 | $5 | [Amazon US](https://www.amazon.com/AmazonBasics-Cat-6-Gigabit-Ethernet-Internet/dp/B089MGH8T5/ref=sr_1_1_sspa?crid=NNVN8X9N4SR4&keywords=short+ethernet+cable&qid=1669691593&sprefix=short+ethernet+cable+.%2Caps%2C227&sr=8-1-spons&psc=1&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUEyMEtMVEtCWE5ZUERLJmVuY3J5cHRlZElkPUEwOTk4Njk5SlQ1UUdBQkRBMkU3JmVuY3J5cHRlZEFkSWQ9QTAyMDk5NDkxMzdOTlRaM1c4VFlWJndpZGdldE5hbWU9c3BfYXRmJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ==) | + +## Miscellaneous: + +| Component | Quantity | Approximate Component Cost | Suppliers | +| --------- | -------- | -------------------------- | --------- | +| Magnets | 1 | $20 | [Amazon US](https://www.amazon.com/Neodymium-Magnets-Double-sided-Adhesive-Rare-Earth/dp/B078KTLWQ9/ref=sr_1_6?crid=1IOM068UZ4RDK&keywords=long%2Bmagnet&qid=1670802719&sprefix=long%2Bmagne%2Caps%2C133&sr=8-6&th=1) | +| Industrial Strength Velcro | 1 | $20 | [Amazon US](https://www.amazon.com/VELCRO-Brand-Industrial-Fasteners-VEL-30838-USA/dp/B0B74YZVSN/ref=sr_1_5?crid=3U9Y5NFUBJ3IH&keywords=industrial+velcro&qid=1669691954&sprefix=industtrial+velcro%2Caps%2C138&sr=8-5) | +| Chord Wraps | 1 | $18 | [Amazon US](https://www.amazon.com/VELCRO-Brand-Industrial-Fasteners-VEL-30838-USA/dp/B0B74YZVSN/ref=sr_1_5?crid=3U9Y5NFUBJ3IH&keywords=industrial+velcro&qid=1669691954&sprefix=industtrial+velcro%2Caps%2C138&sr=8-5) | +| Chord Hanger | 1 | $18 | [Amazon US](https://www.amazon.com/VELCRO-Brand-Industrial-Fasteners-VEL-30838-USA/dp/B0B74YZVSN/ref=sr_1_5?crid=3U9Y5NFUBJ3IH&keywords=industrial+velcro&qid=1669691954&sprefix=industtrial+velcro%2Caps%2C138&sr=8-5) | +| Zip Ties | 1 | $25 | [Amazon US](https://www.amazon.com/inch-Tensile-Strength-Resistant-Self-locking/dp/B09VL2RDH9/ref=sr_1_2_sspa?crid=3VSNR598R3WIB&keywords=zip+ties&qid=1669693628&sprefix=zip+tie%2Caps%2C205&sr=8-2-spons&psc=1&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUExOU42T1k4Q0VYUk5HJmVuY3J5cHRlZElkPUEwNDM4NjAyMUpFTDVCV0lUMVZLTCZlbmNyeXB0ZWRBZElkPUEwMDIxNDY2MTZMVUpWSEtPNFNHMSZ3aWRnZXROYW1lPXNwX2F0ZiZhY3Rpb249Y2xpY2tSZWRpcmVjdCZkb05vdExvZ0NsaWNrPXRydWU=) | +| Duct Tape | 1 | $8 | [Amazon US](https://www.amazon.com/Original-Strength-Duck-Silver-394475/dp/B0000DH4ME/ref=sr_1_3?crid=1BATBX7XS37IH&keywords=duct%2Btape&qid=1669693579&sprefix=duct%2Btape%2Caps%2C135&sr=8-3&th=1) | +| Cables Ties | 1 | $6 | [Amazon US](https://www.amazon.com/dp/B08TTPX4KB?ref_=cm_sw_r_cp_ud_dp_E8TXV87317XD0AXHRXZ8&th=1) | +| Power Strip | 1 | $22 | [Amazon US](https://www.amazon.com/Alestor-Protector-Outlets-Extension-Essentials/dp/B08P5LRY37/ref=mp_s_a_1_8?crid=3F3BGM9NP2U08&keywords=power%2Bstrip&qid=1674789403&sprefix=power%2Bst%2Caps%2C182&sr=8-8&th=1) | +| Extension Cord | 1 | $11 | [Amazon US](https://www.amazon.com/AmazonBasics-Extension-Cord-feet-Black/dp/B075BCD1LP/ref=mp_s_a_1_5?crid=13A81TEC0APYS&keywords=3%2Bprong%2Bextension%2Bcord&qid=1674789516&sprefix=3%2Bprong%2B%2Caps%2C376&sr=8-5&th=1) | +| Ethernet Switch | 1 | $22 | [Amazon US](https://www.amazon.com/NETGEAR-Gigabit-Ethernet-Unmanaged-1000Mbps/dp/B00KFD0SMC/ref=mp_s_a_1_9?crid=25PREBQW9BS0N&keywords=netgear+ethernet+splitter&qid=1674794661&sprefix=netgear+ethern%2Caps%2C136&sr=8-9) | + diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..3453482 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,29 @@ +--- +layout: default +title: Introduction +nav_order: 1 +--- + +# 🤖 **D**istributed **RO**bot **I**nteraction **D**ataset + +![](./assets/index/droid_teaser.jpg) + + +## 👋 Welcome to the DROID Developer Documentation + +This goal of this documentation site is to enable robotics researchers to: + +1. Replicate the hardware of the DROID data collection platform. +2. Configure software to make the DROID data collection platform operational. +3. Onboard developers/users on using the platform and contributing data to the DROID. + +The guides for accomplishing these goals are split into the following high-level sections: + +* 🔨 [**Hardware Setup:**](https://droid-dataset.github.io/droid/docs/hardware-setup) a list of the required hardware (with links to suppliers) and a guide for assembling the platform. +* 🖥️ [**Software Setup:**](https://droid-dataset.github.io/droid/docs/software-setup) guides on configuring device settings and software. +* 📈 [**The DROID Dataset:**](https://droid-dataset.github.io/droid/the-droid-dataset) an in-the-wild robot manipulation dataset. +* 🤖 [**Example Workflows:**](https://droid-dataset.github.io/droid/docs/example-workflows) tutorials for common workflows (e.g. data collection, policy deployment). +* 📖 [**Contribution Guidelines:**](https://droid-dataset.github.io/droid/contribution-guidelines) guidelines for contributing data to DROID. + + + diff --git a/docs/software-setup/docker.md b/docs/software-setup/docker.md new file mode 100644 index 0000000..df40767 --- /dev/null +++ b/docs/software-setup/docker.md @@ -0,0 +1,186 @@ +--- +layout: default +title: Running Application through Docker +has_children: false +nav_order: 1 +parent: Software Setup +--- + + +This guide commences with outlining the configuration of your Franka robot arm. Following this we detail the configuration of the Oculus Quest. We then outline the software setup for the NUC which interfaces directly with the Franka control unit and finally the laptop which runs the GUI application and client software. + +
+ + Table of contents + + {: .text-delta } +1. TOC +{:toc} +
+ +# Configuring the Franka robot + +## Franka World Account + +A Franka World account is used to manage Franka robot arms and associated firmware updates. You may login to Franka World or register and account at the following [portal](https://franka.world/). + +Thankfully Franka Robotics have provided a tutorial on registering and synchronizing software for your Franka robot on Franka World. Please follow this tutorial to set up your robot arm: + + + +Importantly, after the above tutorial, it is necessary to ensure that the Franka Control Interface (FCI) feature is installed on your robot. Further information on this interface which Franka Robotics expose is found in the guide below: + + + +## Operating the Robot + +Please refer to the Franka Robotics [Getting Started Guide](https://frankaemika.github.io/docs/getting_started.html) to perform the initial setup and operation of your robot arm. At this point it is worthwhile noting the details of how to activate and deactivate FCI for your robot, these details can be found [here](https://frankaemika.github.io/docs/getting_started.html#preparing-the-robot-for-fci-usage-in-desk). + + +## Updating Inertia Parameters for Robotiq Gripper + +In order to accurately represent the robot model with the Robotiq gripper we need to update the end-effector configuration. From the Desk UI you may access this option under Settings > End-Effector as outlined [here](https://facebookresearch.github.io/fairo/polymetis/troubleshooting.html#end-effector-configuration). + +Please add the following [configuration file](https://github.com/frankaemika/external_gripper_example/blob/master/panda_with_robotiq_gripper_example/config/endeffector-config.json) via the UI. + +# Configuring the Oculus Quest + +The Oculus will be used to run an application that tracks the pose of hand-held controllers which we use to teleoperate the robot. + +The first step to setting up your Oculus Quest is to associate a Meta account with the device. You may create an account at the following [portal](https://secure.oculus.com/sign-up/). Once you've created a Meta account you also need to register as a Meta developer, a guide for accomplishing this can be found [here](https://developers.facebook.com/docs/development/register/). + +Once you have a meta developer account, you are ready to begin enabling developer mode on your Oculus device. Developer mode is required to run a custom application for the Oculus Quest which we use as part of the DROID platform. For instructions on enabling developer mode on your Oculus device please see the following [guide](https://developer.oculus.com/documentation/native/android/mobile-device-setup/). + +Later in this guide we will detail how to run the required application on the Oculus, for now the device setup is complete. + +# Configuring the NUC + +The NUC device is used to run the polymetis controller manager server. This server manages translating commands from the user client to the robot client. A high-level schematic outling the controller manager is given below, further details can also be found [here](https://facebookresearch.github.io/fairo/polymetis/overview.html): + +image + +In order to gain an understanding of the various components being installed it is worthwhile working through this section. If you are less concerned with understanding individual software dependencies and their function using the automated install script is more time efficient. + +## Booting with Ubuntu 22.04 + +We will install Ubuntu 22.04 through flashing a USB with Ubuntu 22.04 and using this flased USB drive as the install medium. + +You may use the following [application](https://etcher.balena.io/) to flash a USB drive with the Ubuntu OS image. Download this application on a device other than the laptop/workstation as we don't want to include any unnecessary applications on this device. Follow the official [Ubuntu Installation guide](https://ubuntu.com/tutorials/install-ubuntu-desktop#1-overview) to set up the USB flashdrive and install the Ubuntu OS (22.04). + +When installing Ubuntu, set the computer password `robot` and enable the `Log in automatically` setting. + +## Ubuntu Pro Token + +In order to simplify the process of performing a RT patch of the Ubuntu Kernel we leverage Ubuntu Pro. Generate an Ubuntu Pro token through following the section 3 called "Get your free Ubuntu pro subscription" from the following [guide](https://ubuntu.com/pro/tutorial). We will use this token to activate Ubuntu pro and activate an RT patched kernel on our machine. + +## Cloning Codebase + +To clone the codebase including submodule dependencies run: + +```bash +git clone git@github.com:droid-dataset/droid.git +cd droid +git submodule update --init --recursive +``` + +## Configure Parameters + +Complete the following parameters in `./droid/misc/parameters.py`. + +* Start by specifying static IP addresses for all the machines on the platform (NUC, laptop, control unit). + +* Add the sudo password for the machine you are using (only relevant for the NUC machine). + +* Set the type and serial number of your robot. The serial number for your robot can be found on the control box unit. + +* If this is your first time setting up the platform you can ignore the camera ids as you will need to load the GUI to generate these. + +* Set the Charuco board parameters to match the board you are using. + +* Provide an Ubuntu Pro token (required to automate rt-patch of kernel on the NUC). + +Complete the following parameters in `./config//franka_hardware.yaml` + +* Specify the `robot_ip` parameter. + + +## Run Setup Script + +To complete the device setup execute the setup script through running the following: + +```bash +./scripts/setup/nuc_setup.sh +``` + +# Configuring the Laptop/Workstation + +The laptop/workstation device manages the execution of the Oculus Quest application, camera data and user client code including a GUI application. Recalling the Polymetis diagram from earlier, all the user client code is run on this device. + +image + +## Booting with Ubuntu 22.04 + +We will install Ubuntu 22.04 through flashing a USB with Ubuntu 22.04 and using this flased USB drive as the install medium. + +You may use the following [application](https://etcher.balena.io/) to flash a USB drive with the Ubuntu OS image. Download this application on a device other than the laptop/workstation as we don't want to include any unnecessary applications on this device. Follow the official [Ubuntu Installation guide](https://ubuntu.com/tutorials/install-ubuntu-desktop#1-overview) to set up the USB flashdrive and install the Ubuntu OS (22.04). + +When installing Ubuntu, set the computer password `robot` and enable the `Log in automatically` setting. + +## Cloning Codebase + +To clone the codebase including submodule dependencies run: + +```bash +git clone git@github.com:droid-dataset/droid.git +cd droid +git submodule update --init --recursive +``` + +## Configure Parameters + +Complete the following parameters in `./droid/misc/parameters.py`. + +* Specify static IP addresses for all the machines on the platform (NUC, laptop, control unit). + +* Add the sudo password for the machine you are using (only relevant for the NUC machine). + +* Set the type and serial number of your robot. The serial number for your robot can be found on the control box unit. + +* If this is your first time setting up the platform you can ignore the camera ids as you will need to load the GUI to generate these. + +* Set the Charuco board parameters to match the board you are using. + +* Provide an Ubuntu Pro token (required to automate rt-patch of kernel on the NUC). + +Complete the following parameters in `./config//franka_hardware.yaml` + +* Specify the `robot_ip` parameter. + +## Run Setup Script + +To complete the device setup execute the setup script through running the following: + +```bash +./scripts/setup/laptop_setup.sh +``` + +# Testing/Validating Entire Setup + +In order to validate your device setup we will attempt to collect a trajectory. Start by running the NUC server machine through running the corresponding Docker container. This can be accomplished through running the setup script which spins the control server container. Alternatively you may run the container directly with the below command. + + +```bash +cd .docker/nuc +docker compose -f docker-compose-nuc.yaml up +``` + +**Note:** you want to ensure environment variables defined in the docker compose file are exported for them to be available to the container: + +Next run the test script for collecting a trajectory on the laptop through running the test Docker container: + +```bash +cd .docker/laptop +docker compose -f docker-compose-laptop.yaml run laptop_setup python scripts/test/collect_trajectory.py +``` + +**Note:** you want to ensure environment variables defined in the docker compose file are exported for them to be available to the container: diff --git a/docs/software-setup/host-installation.md b/docs/software-setup/host-installation.md new file mode 100644 index 0000000..ab5ded9 --- /dev/null +++ b/docs/software-setup/host-installation.md @@ -0,0 +1,288 @@ +--- +layout: default +title: Running Application on Host +has_children: false +nav_order: 2 +parent: Software Setup +--- + +This guide commences with outlining the configuration of your Franka robot arm. Following this we detail the configuration of the Oculus Quest. We then outline the software setup for the NUC which interfaces directly with the Franka control unit and finally the laptop which runs the GUI application and client software. + +
+ + Table of contents + + {: .text-delta } +1. TOC +{:toc} +
+ +# Configuring the Franka robot + +## Franka World Account + +A Franka World account is used to manage Franka robot arms and associated firmware updates. You may login to Franka World or register and account at the following [portal](https://franka.world/). + +Thankfully Franka Robotics have provided a tutorial on registering and synchronizing software for your Franka robot on Franka World. Please follow this tutorial to set up your robot arm: + + + +Importantly, after the above tutorial, it is necessary to ensure that the Franka Control Interface (FCI) feature is installed on your robot. Further information on this interface which Franka Robotics expose is found in the guide below: + + + +## Operating the Robot + +Please refer to the Franka Robotics [Getting Started Guide](https://frankaemika.github.io/docs/getting_started.html) to perform the initial setup and operation of your robot arm. At this point it is worthwhile noting the details of how to activate and deactivate FCI for your robot, these details can be found [here](https://frankaemika.github.io/docs/getting_started.html#preparing-the-robot-for-fci-usage-in-desk). + + +## Updating Inertia Parameters for Robotiq Gripper + +In order to accurately represent the robot model with the Robotiq gripper we need to update the end-effector configuration. From the Desk UI you may access this option under Settings > End-Effector as outlined [here](https://facebookresearch.github.io/fairo/polymetis/troubleshooting.html#end-effector-configuration). + +Please add the following [configuration file](https://github.com/frankaemika/external_gripper_example/blob/master/panda_with_robotiq_gripper_example/config/endeffector-config.json) via the UI. + +# Configuring the Oculus Quest + +The Oculus will be used to run an application that tracks the pose of hand-held controllers which we use to teleoperate the robot. + +The first step to setting up your Oculus Quest is to associate a Meta account with the device. You may create an account at the following [portal](https://secure.oculus.com/sign-up/). Once you've created a Meta account you also need to register as a Meta developer, a guide for accomplishing this can be found [here](https://developers.facebook.com/docs/development/register/). + +Once you have a meta developer account, you are ready to begin enabling developer mode on your Oculus device. Developer mode is required to run a custom application for the Oculus Quest which we use as part of the DROID platform. For instructions on enabling developer mode on your Oculus device please see the following [guide](https://developer.oculus.com/documentation/native/android/mobile-device-setup/). + +Later in this guide we will detail how to run the required application on the Oculus, for now the device setup is complete. + +# Configuring the NUC + +The NUC device is used to run the polymetis controller manager server. This server manages translating commands from the user client to the robot client. A high-level schematic outling the controller manager is given below, further details can also be found [here](https://facebookresearch.github.io/fairo/polymetis/overview.html): + +image + +## Booting with Ubuntu 18.04 + +We will install Ubuntu 18.04 through flashing a USB with Ubuntu 18.04 and using this flased USB drive as the install medium. + +You may use the following [application](https://etcher.balena.io/) to flash a USB drive with the Ubuntu OS image. Download this application on a device other than the NUC as we don't want to include any unnecessary applications on the NUC (e.g. personal laptop). Follow the official [Ubuntu Installation guide](https://ubuntu.com/tutorials/install-ubuntu-desktop#1-overview) to set up the USB flashdrive and install the Ubuntu OS (18.04) on the NUC. + +When installing Ubuntu, set the computer password `robot` and enable the `Log in automatically` setting. + +## Configuring Static IP Address + +To set the static IP for the NUC, enter Settings > Network and click the add wired connection option (through clicking the + option under the Wired heading). Click the IPv4 tab; under IPv4 method select manual. Set the Address to 172.16.0.2 and the netmask to 255.255.255.0. Click apply to create this static IP address. + +## Performing RT Patch of Kernel + +In order to ensure that real-time priorities set in the libfranka codebase are respected we need to perform a Real-Time (RT) patch of the default kernel. For this section we will be following the [official guide](https://frankaemika.github.io/docs/installation_linux.html#setting-up-the-real-time-kernel) provided by Franka Robotics. + +To ensure, you replicate the same setup as the original DROID platform implementation start by installing dependencies with: + +```bash +sudo apt-get install build-essential bc curl ca-certificates gnupg2 libssl-dev lsb-release libelf-dev bison flex dwarves zstd libncurses-dev +``` + +Following the installation of dependencies, install a kernel patch that has been tested with the DROID platform: + +```bash +curl -SLO [https://mirrors.edge.kernel.org/pub/linux/kernel/v5.x/linux-5.4.70.tar.xz](https://mirrors.edge.kernel.org/pub/linux/kernel/v5.x/linux-5.4.70.tar.xz) +curl -SLO [https://mirrors.edge.kernel.org/pub/linux/kernel/projects/rt/5.4/older/patch-5.4.70-rt40.patch.xz](https://mirrors.edge.kernel.org/pub/linux/kernel/projects/rt/5.4/older/patch-5.4.70-rt40.patch.xz) +xz -d *.xz +``` + +Follow the official Franka Robotics guide from the [Compiling the kernel](https://frankaemika.github.io/docs/installation_linux.html#compiling-the-kernel) section onwards, using the kernel patch that was installed above. + +## CPU Frequency Scaling + +Most CPUs are by default configured to use a lower operating frequency, we wish to override this setting in order to increase the operating frequenecy and as a result reduce the latency when interfacing with libfranka. Follow this [section](https://frankaemika.github.io/docs/troubleshooting.html#disabling-cpu-frequency-scaling) of the official Franka Robotics guides to disable CPU frequency scaling. + + +## Configuring Python Virtual Environment (Conda) + +We will use Conda as the package manager for our python virtual environment. You can install Conda from the following [link](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html). Once you've installed Conda, ensure that you have configured git on the NUC so you can pull software packages from GitHub. A guide on configuring git is provided [here](https://docs.github.com/en/get-started/getting-started-with-git/set-up-git#setting-up-git). + +Next, we will commence with setting up the Polymetis library. The following [guide](https://facebookresearch.github.io/fairo/polymetis/installation.html#for-advanced-users-developers) details how to build Polymetis, we will be following this guide. + +The first step of the linked guide requires you to clone the fairo repository. We have included a pinned version of the library with the DROID main repository as a git submodule. Clone the DROID repository and submodules with the following command: + +```bash +git clone git@github.com:droid-dataset/droid.git +# sync and pull submodules +git submodule sync +git submodule update --init --recursive +``` + +You should now find the fairo repository at `droid/fairo`, from this point continue with steps 2 and 3 of the polymetis guide. + +In step 4, when building libfranka from source, it is crucial to fix the version of libfranka you are using to one that is compatible with the robot you are using, see the below table for a list of robot hardware and libfranka version compatibility: + +| Robot | libfranka Version | +| --------- | -------- | +| Franka Emika Panda | 0.9.0 | +| Franka Research 3 | 0.10.0 | + +In order to install a specific libfranka version (e.g. 0.10.0) using the linked guide, you can run the `build_libfranka` script as follows: + +```bash +./scripts/build_libfranka.sh 0.10.0 +``` + +When building the polymetis from source with CMAKE, be sure to set all setting to `ON`: + +```bash +cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_FRANKA=ON -DBUILD_TESTS=ON -DBUILD_DOCS=ON +make -j +``` + +Now that Polymetis is built, we will add other dependencies to our conda virtual environment. + +Now that polymetis is built we will commence with installing the remaining dependencies for our python virtual environment. From the root directory of this repository, with the python virtual environment created during polymetis build activated run the following command to install remaining dependencies: + +```bash +pip install -e . + +# Done like this to avoid dependency issues +pip install dm-robotics-moma==0.5.0 --no-deps +pip install dm-robotics-transformations==0.5.0 --no-deps +pip install dm-robotics-agentflow==0.5.0 --no-deps +pip install dm-robotics-geometry==0.5.0 --no-deps +pip install dm-robotics-manipulation==0.5.0 --no-deps +pip install dm-robotics-controllers==0.5.0 --no-deps +``` + +The next step is to ensure the the project config files reference the robot you are using. First we will update the robot client config file and after this we will update the robot model config file. Please find links to the required config files below: + +| Robot | Config Files | +| --------- | -------- | +| Franka Emika Panda | [config files](https://drive.google.com/drive/folders/1wXTQQbFKjd9ed3yKxB4td9GzA_XrR7Xk) | +| Franka Research 3 | [config files](https://drive.google.com/drive/folders/178-MJTAVV0m5_RDs2ScUNcYameGDA0Eg) | + +We will start by updating the robot client config file. To do so go into `fairo/polymetis/polymetis/conf/robot_client` and delete the existing `franka_hardware.yaml` file. Replace this file with `franka_hardware[robot_name].yaml` from the linked config files folder. Rename this file to `franka_hardware.yaml`. Finally, edit this `franka_hardware.yaml` file and replace `executable_cfg.robot_ip` to match you Franka control box's IP address. + +Next we will update the robot model config file. To do so go into `fairo/polymetis/polymetis/conf/robot_model` and delete the existing `franka_panda.yaml` file. Replace this file with `franka_panda[robot_name].yaml` from the linked config files folder. Rename this file to `franka_panda.yaml`. + +Update the IP parameters in `droid/misc/parameters.py`, in particular set `robot_ip` to match the IP address of your robot and `nuc_ip` to match the IP address of your NUC. Also set the `sudo_password` to match your machine's sudo password (sudo access is required to launch the robot). Finally update the `robot_type` parameter to `panda` or `fr3` depending on which robot you are using. + +If you choose to install miniconda instead of anaconda in previous steps of this guide you will need to make the following edits: + +In droid/franka change the word anaconda to minicode in the scripts `launch_gripper.sh` and `launch_robot.sh`. Also change the paths to be absolute. Repeat for the `launch_server.sh` file in `scripts/server` + +## Optional: Configure Headless Server + +When you have validated your entire setup you may wish to make the NUC a headless server such that you don't need to manually run commands to start the control server. + +From the terminal enter `crontab -e` and add the ollowing line to the bottom of the file: + +``` +@reboot bash [YOUR PATH TO DROID]/scripts/server/launch_server.sh +``` + +You may remove any displays associated with your NUC once you have configured it to run as a headless server. + +# Configuring the Laptop/Workstation + +The laptop/workstation device manages the execution of the Oculus Quest application, camera data and user client code including a GUI application. Recalling the Polymetis diagram from earlier, all the user client code is run on this device. +image + +## Booting with Ubuntu 22.04 + +We will install Ubuntu 22.04 through flashing a USB with Ubuntu 22.04 and using this flased USB drive as the install medium. + +You may use the following [application](https://etcher.balena.io/) to flash a USB drive with the Ubuntu OS image. Download this application on a device other than the laptop/workstation as we don't want to include any unnecessary applications on this device. Follow the official [Ubuntu Installation guide](https://ubuntu.com/tutorials/install-ubuntu-desktop#1-overview) to set up the USB flashdrive and install the Ubuntu OS (22.04). + +When installing Ubuntu, set the computer password `robot` and enable the `Log in automatically` setting. + +## Configuring Static IP Address + +To set the static IP for the laptop, enter Settings > Network and click the add wired connection option (through clicking the + option under the Wired heading). Click the IPv4 tab; under IPv4 method select manual. Set the Address to 172.16.0.1 and the netmask to 255.255.255.0. Click apply to create this static IP address. + +## Configuring Python Virtual Environment (Conda) + +We will use Conda as the package manager for our python virtual environment. You can install Conda from the following [link](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html). Once you've installed Conda, ensure that you have configured git on the NUC so you can pull software packages from GitHub. A guide on configuring git is provided [here](https://docs.github.com/en/get-started/getting-started-with-git/set-up-git#setting-up-git). + +Clone the DROID repository and submodules with the following command: + +```bash +git clone git@github.com:droid-dataset/droid.git +git submodule sync +git submodule update --init --recursive +``` + +Next create and activate a conda environment called `robot` with python 3.7 through running the following commands: + +```bash +conda create -n "robot" python=3.7 +conda activate robot +``` + +Ensure that GCC is installed through running the following commands: + +```bash +sudo apt update +sudo apt install build-essential +``` + +Verify your installation through running (you should observe a version returned): + +```bash +gcc --version +``` + +Next we will install the ZED SDK and python API which is required to interface with ZED cameras. Follow the official guide outlined [here](https://www.stereolabs.com/docs/installation/linux), while adhering to the below instructions during your installation: + +* Ensure you have the robot conda environment activated +* Enter yes when prompted to install CUDA +* Enter yes to everything else during the installation procedure with the exception of optimizing ZED models this is optiona + +Once you have restarted your machine post installation, activate the robot conda environment and test that you can import pyzed through running: + +```bash +python -c "import pyzed" +``` + +The software for the Oculus application is included under `droid/oculus_reader` as a git submodule. Start by installing the oculus reader dependencies into the current virtual environment through running: + +```bash +pip install -e ./droid/oculus_reader +``` + +Next, install the android debug bridge software dependency required to interface with your Oculus Quest through running: + +```bash +sudo apt install android-tools-adb +``` + +Finally from the root directory of the project repository, with the python virtual environment activated run the following command to install remaining dependencies: + +```bash +pip install -e . + +# Done like this to avoid dependency issues +pip install dm-robotics-moma==0.5.0 --no-deps +pip install dm-robotics-transformations==0.5.0 --no-deps +pip install dm-robotics-agentflow==0.5.0 --no-deps +pip install dm-robotics-geometry==0.5.0 --no-deps +pip install dm-robotics-manipulation==0.5.0 --no-deps +pip install dm-robotics-controllers==0.5.0 --no-deps +``` + +Update the IP parameters in `droid/misc/parameters.py`, in particular set `robot_ip` to match the IP address of your robot and `nuc_ip` to match the IP address of your NUC. In addition, set the `robot_serial_number` to match your robot's serial number (found on your franka website, under Settings -> Franka World -> Control S/N). For the `robot_type variable`, enter 'fr3' or 'panda' depending on which Franka robot you are using. Update the Charuco board parameters to match the board you are using. Finally you will need to set the camera ids in this parameters file further details on how to accomplish this are provided later in the guide. + +If you choose to install miniconda instead of anaconda in previous steps of this guide you will need to make the following edits: + +In droid/franka change the word anaconda to minicode in the scripts `launch_gripper.sh` and `launch_robot.sh`. Also change the paths to be absolute. Repeat for the `launch_server.sh` file in `scripts/server` + + +# Testing/Validating Entire Setup + +In order to validate your device setup we will attempt to collect a trajectory. Start by running the NUC server machine through running the following commands: + +```bash +conda activate polymetis-local +python scripts/server/run_server.py +``` + +With the control server running on the NUC, run the script for testing trajectory collection with: + +```bash +conda activate robot +python scripts/test/collect_trajectory.py +``` diff --git a/docs/software-setup/software-setup.md b/docs/software-setup/software-setup.md new file mode 100644 index 0000000..c7a4f1d --- /dev/null +++ b/docs/software-setup/software-setup.md @@ -0,0 +1,26 @@ +--- +layout: default +title: Software Setup +has_children: true +has_toc: false +nav_order: 3 +permalink: /docs/software-setup +--- + +## 🖥️ Welcome to the DROID software guides. + +The goal of the software guides are to: + +1. Configure the Franka robot for DROID application software +2. Configure the Oculus Quest 2 for DROID application software +3. Set up a Polymetis control server on the NUC +4. Set up a user client and GUI on the laptop/workstation +5. Validate the entire platform setup + +There are two methods of installation for the software used in DROID; one can run the application software directly on the host machine or through Docker. Below we provide a brief description of each, importantly it is only necessary to perform one of the two installations, please choose one based on the outlined considerations. We strongly recommend using the Docker installation as it requires less manual configuration and it decouples most of the DROID application config from your host machine configuration. + +### Installation Method 1: Docker Installation +Running DROID software through Docker requires less installation steps and allows for machines to easily be repurposed for other sets of software as the application software is containerised. Running the application software through Docker does however require an understanding of Docker the management of Docker containers. + +### Installation Method 2: Host Installation +Running DROID software directly on the host machine requires more installation steps but is worthwhile in the case where machines are dedicated to the DROID setup as it forgoes the need to launch and manage Docker containers. diff --git a/docs/the-droid-dataset.md b/docs/the-droid-dataset.md new file mode 100644 index 0000000..a587fef --- /dev/null +++ b/docs/the-droid-dataset.md @@ -0,0 +1,99 @@ +--- +layout: default +title: The DROID Dataset +nav_order: 4 +--- + +## 🔍 Exploring the Dataset + +It is possible to interactively explore the DROID via the following [interactive dataset visualizer](https://www.cs.princeton.edu/~jw60/droid-dataset-visualizer/). This is a great way to start understanding the DROID dataset and is a highly recommended starting point. + +image + +## 📈 Using the Dataset + +The DROID dataset is hosted within a Google Cloud Bucket and is offered in two formats: + +1. [RLDS](https://github.com/google-research/rlds): ideal for dataloading for the purpose of training policies +2. Raw Data: ideal for those who wish to manipulate the raw data + +To browse the bucket storing the data visit the following [link](https://console.cloud.google.com/storage/browser/xembodiment_data/r2d2). + +### Accessing RLDS Dataset + +To load the RLDS dataset directly as a tensorflow datast one can run the below snippet. It is worth noting that there are a variety of tools that exist for interacting with RLDS formatted datasets, for the below example we demonstrate how to load a small subset of the dataset and view an image. + +```python +import tensorflow_datasets as tfds +from PIL import Image + +# get the dataset +data_directory = 'gs://xembodiment_data/r2d2/tfds/2024_01_23/1.0.0' +dataset_builder = tfds.builder_from_directory(data_directory) + +# inspect episode data +dataset_sample = dataset_builder.as_dataset(split='train[:10]').shuffle(10) # 10 episode from train split +episode = next(iter(dataset_sample)) + +# lets look at the exterior left image +images = [step['observation']['exterior_image_1_left'] for step in episode['steps']] +images = [Image.fromarray(image.numpy()) for image in images] +images[0].show() +``` + +For more complex examples of loading the RLDS format of the DROID and for training policies please consult examples provided in [robomimic](https://github.com/ARISE-Initiative/robomimic). + +### Accessing Raw Data + +The easiest way to download the raw dataset is via `gsutil`, to get started please install the gcloud CLI tools at the following [link](https://cloud.google.com/sdk/docs/install). + +With `gsutil` installed it is now possible to copy the raw data with the below command: + +```bash +gsutil cp -r gs://xembodiment_data/r2d2/r2d2-data-full +``` + +## 📝 Dataset Schema + +```python +DROID = { + "episode_metadata": { + "recording_folderpath": tf.Text, # path to the folder of recordings + "file_path": tf.Text, # path to the original data file + }, + "steps": { + "is_first": tf.Scalar(dtype=bool), # true on first step of the episode + "is_last": tf.Scalar(dtype=bool), # true on last step of the episode + "is_terminal": tf.Scalar(dtype=bool), # true on last step of the episode if it is a terminal step, True for demos + + "language_instruction": tf.Text, # language instruction + "language_instruction_2": tf.Text, # alternative language instruction + "language_instruction_3": tf.Text, # alternative language instruction + "language_embedding": tf.Tensor(512, dtype=float32), # Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5 + "language_embedding_2": tf.Tensor(512, dtype=float32), # alternative Kona language embedding + "language_embedding_3": tf.Tensor(512, dtype=float32), # alternative Kona language embedding + "observation": { + "gripper_position": tf.Tensor(1, dtype=float64), # gripper position state + "cartesian_position": tf.Tensor(6, dtype=float64), # robot Cartesian state + "joint_position": tf.Tensor(7, dtype=float64), # joint position state + "wrist_image_left": tf.Image(180, 320, 3, dtype=uint8), # wrist camera RGB left viewpoint + "exterior_image_1_left": tf.Image(180, 320, 3, dtype=uint8), # exterior camera 1 left viewpoint + "exterior_image_2_left": tf.Image(180, 320, 3, dtype=uint8), # exterior camera 2 left viewpoint + }, + "action_dict": { + "gripper_position": tf.Tensor(1, dtype=float64), # commanded gripper position + "gripper_velocity": tf.Tensor(1, dtype=float64), # commanded gripper velocity + "cartesian_position": tf.Tensor(6, dtype=float64), # commanded Cartesian position + "cartesian_velocity": tf.Tensor(6, dtype=float64), # commanded Cartesian velocity + "joint_position": tf.Tensor(7, dtype=float64), # commanded joint position + "joint_velocity": tf.Tensor(7, dtype=float64), # commanded joint velocity + }, + "discount": tf.Scalar(dtype=float32), # discount if provided, default to 1 + "reward": tf.Scalar(dtype=float32), # reward if provided, 1 on final step for demos + "action": tf.Tensor(7, dtype=float64), # robot action, consists of [6x joint velocities, 1x gripper position] + }, +} +``` + +## 📄 Data Analysis and Further Information +Please consult the [paper](https://openreview.net/pdf?id=gG0QQsoaCp) for detailed data analysis and further information about the dataset. diff --git a/droid/__init__.py b/droid/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/calibration/__init__.py b/droid/calibration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/calibration/calibration_info.json b/droid/calibration/calibration_info.json new file mode 100644 index 0000000..e9b97bc --- /dev/null +++ b/droid/calibration/calibration_info.json @@ -0,0 +1 @@ +{"26405488_left": {"pose": [0.1113325872574514, 0.8207481722451926, 0.04550905451430457, -1.64633974845365, -0.17857016318886476, -2.937663676632542], "timestamp": 1673597556.0704472}, "26405488_right": {"pose": [-0.009417838799177, 0.7972668750161092, 0.0693151223699266, -1.6473025257925253, -0.18917295438381165, -2.942218897492042], "timestamp": 1673597557.3687217}, "19824535_left": {"pose": [-0.07528310648512061, 0.02872136764193708, 0.023316565592628957, -0.3255773557130956, 0.006247432431090383, -1.562874530416053], "timestamp": 1680893804.7454631}, "19824535_right": {"pose": [-0.06961440752114842, -0.035396599227355253, 0.020410786906711484, -0.31886273624702377, 0.007822018427507738, -1.552143062181081], "timestamp": 1680893807.0068362}, "29838012_left": {"pose": [0.41548840480128696, 0.4775470950869088, 0.4114322255308952, -2.2160410202605263, -0.02257694787387754, -2.963723863071196], "timestamp": 1686263782.2506583}, "29838012_right": {"pose": [0.294022371612491, 0.45672117609819446, 0.4111009411005134, -2.2079948175639927, -0.01940119744356439, -2.959776211707233], "timestamp": 1686263784.2242827}, "23404442_left": {"pose": [0.25955495037528126, -0.5001018266363574, 0.436881899751338, -2.2773456296459424, 0.3361897716248827, -0.5369007045203406], "timestamp": 1686263149.2820735}, "23404442_right": {"pose": [0.3520388119867355, -0.5577297192334658, 0.4018245547798702, -2.279806362246719, 0.34639742666205775, -0.5475215836690435], "timestamp": 1686263151.7758524}} diff --git a/droid/calibration/calibration_utils.py b/droid/calibration/calibration_utils.py new file mode 100644 index 0000000..818ff11 --- /dev/null +++ b/droid/calibration/calibration_utils.py @@ -0,0 +1,616 @@ +import json +import os +import time +from collections import defaultdict + +import cv2 +import matplotlib.pyplot as plt +import numpy as np +from cv2 import aruco +from scipy.spatial.transform import Rotation as R + +from droid.misc.parameters import * +from droid.misc.transformations import * + +# Create Board # +CHARUCO_BOARD = aruco.CharucoBoard_create( + squaresX=CHARUCOBOARD_COLCOUNT, + squaresY=CHARUCOBOARD_ROWCOUNT, + squareLength=CHARUCOBOARD_CHECKER_SIZE, + markerLength=CHARUCOBOARD_MARKER_SIZE, + dictionary=ARUCO_DICT, +) + +# Detector Params +detector_params = cv2.aruco.DetectorParameters_create() +detector_params.cornerRefinementMethod = cv2.aruco.CORNER_REFINE_SUBPIX +calib_flags = cv2.CALIB_USE_INTRINSIC_GUESS + cv2.CALIB_FIX_PRINCIPAL_POINT + cv2.CALIB_FIX_FOCAL_LENGTH + +# Prepare Calibration Info # +dir_path = os.path.dirname(os.path.realpath(__file__)) +calib_info_filepath = os.path.join(dir_path, "calibration_info.json") + + +def load_calibration_info(keep_time=False): + if not os.path.isfile(calib_info_filepath): + return {} + with open(calib_info_filepath, "r") as jsonFile: + calibration_info = json.load(jsonFile) + if not keep_time: + calibration_info = {key: data["pose"] for key, data in calibration_info.items()} + return calibration_info + + +def update_calibration_info(cam_id, transformation): + calibration_info = load_calibration_info(keep_time=True) + calibration_info[cam_id] = {"pose": list(transformation), "timestamp": time.time()} + + with open(calib_info_filepath, "w") as jsonFile: + json.dump(calibration_info, jsonFile) + + +def check_calibration_info(required_ids, time_threshold=3600): + calibration_info = load_calibration_info(keep_time=True) + calibration_ids = list(calibration_info.keys()) + info_dict = {"missing": [], "old": []} + + for cam_id in required_ids: + if cam_id not in calibration_ids: + info_dict["missing"].append(cam_id) + continue + time_passed = time.time() - calibration_info[cam_id]["timestamp"] + if time_passed > time_threshold: + info_dict["old"].append(cam_id) + + return info_dict + + +def visualize_calibration(calibration_dict): + shapes = [".", "o", "v", "^", "s", "x", "D", "h", "<", ">", "8", "1", "2", "3"] + assert len(calibration_dict) < (len(shapes) - 1) + plt.clf() + + axes = plt.subplot(111, projection="3d") + axes.plot(0, 0, 0, "*", label="Robot Base") + + for view_id in calibration_dict: + curr_shape = shapes.pop(0) + pose = calibration_dict[view_id] + angle = [int(d * 180 / np.pi) for d in pose[3:]] + label = "{0}: {1}".format(view_id, angle) + axes.plot(pose[0], pose[1], pose[2], curr_shape, label=label) + + plt.legend(loc="center right", bbox_to_anchor=(2, 0.5)) + plt.title("Calibration Visualization") + plt.show() + + +def calibration_traj(t, pos_scale=0.1, angle_scale=0.2, hand_camera=False): + x = -np.abs(np.sin(3 * t)) * pos_scale + y = -0.8 * np.sin(2 * t) * pos_scale + z = 0.5 * np.sin(4 * t) * pos_scale + a = -np.sin(4 * t) * angle_scale + b = np.sin(3 * t) * angle_scale + c = np.sin(2 * t) * angle_scale + if hand_camera: + value = np.array([z, y, -x, c / 1.5, b / 1.5, -a / 1.5]) + else: + value = np.array([x, y, z, a, b, c]) + return value + + +class CharucoDetector: + def __init__( + self, + intrinsics_dict, + inlier_error_threshold=3.0, + reprojection_error_threshold=3.0, + num_img_threshold=10, + num_corner_threshold=10, + ): + # Set Parameters + self.inlier_error_threshold = inlier_error_threshold + self.reprojection_error_threshold = reprojection_error_threshold + self.num_img_threshold = num_img_threshold + self.num_corner_threshold = num_corner_threshold + self.intrinsic_params = {} + self._intrinsics_dict = intrinsics_dict + self._readings_dict = defaultdict(list) + self._pose_dict = defaultdict(list) + self._curr_cam_id = None + + def process_image(self, image): + if image.shape[2] == 4: + gray = cv2.cvtColor(image, cv2.COLOR_BGRA2GRAY) + elif image.shape[2] == 3: + gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) + else: + raise ValueError + img_size = image.shape[:2] + + # Find Aruco Markers In Image # + corners, ids, rejected = aruco.detectMarkers(image=gray, dictionary=ARUCO_DICT, parameters=detector_params) + + corners, ids, _, _ = cv2.aruco.refineDetectedMarkers( + gray, + CHARUCO_BOARD, + corners, + ids, + rejected, + parameters=detector_params, + **self._intrinsics_dict[self._curr_cam_id], + ) + + # Find Charuco Corners # + if len(corners) == 0: + return None + + num_corners_found, charuco_corners, charuco_ids = aruco.interpolateCornersCharuco( + markerCorners=corners, markerIds=ids, image=gray, board=CHARUCO_BOARD, **self.intrinsic_params + ) + + if num_corners_found < self.num_corner_threshold: + return None + + return corners, charuco_corners, charuco_ids, img_size + + def add_sample(self, cam_id, image, pose): + readings = self.process_image(image) + if readings is None: + return + self._readings_dict[cam_id].append(readings) + self._pose_dict[cam_id].append(pose) + + def calculate_target_to_cam(self, readings, train=True): + init_corners_all = [] # Corners discovered in all images processed + init_ids_all = [] # Aruco ids corresponding to corners discovered + fixed_image_size = readings[0][3] + + # Proccess Readings # + init_successes = [] + for i in range(len(readings)): + corners, charuco_corners, charuco_ids, img_size = readings[i] + assert img_size == fixed_image_size + init_corners_all.append(charuco_corners) + init_ids_all.append(charuco_ids) + init_successes.append(i) + + # First Pass: Find Outliers # + threshold = self.num_img_threshold if train else 5 + if len(init_successes) < threshold: + return None + # print('Not enough points round 1') + # print('Num Points: ', len(init_successes)) + # return None + + calibration_error, cameraMatrix, distCoeffs, rvecs, tvecs, stdIntrinsics, stdExtrinsics, perViewErrors = ( + aruco.calibrateCameraCharucoExtended( + charucoCorners=init_corners_all, + charucoIds=init_ids_all, + board=CHARUCO_BOARD, + imageSize=fixed_image_size, + flags=calib_flags, + **self._intrinsics_dict[self._curr_cam_id], + ) + ) + + # Remove Outliers # + threshold = self.num_img_threshold if train else 5 + final_corners_all = [ + init_corners_all[i] for i in range(len(perViewErrors)) if perViewErrors[i] <= self.inlier_error_threshold + ] + final_ids_all = [ + init_ids_all[i] for i in range(len(perViewErrors)) if perViewErrors[i] <= self.inlier_error_threshold + ] + final_successes = [ + init_successes[i] for i in range(len(perViewErrors)) if perViewErrors[i] <= self.inlier_error_threshold + ] + if len(final_successes) < threshold: + return None + # print('Not enough points round 2') + # print('Num Points: ', len(final_successes)) + # print('Error Mean: ', perViewErrors.mean()) + # print('Error Std: ', perViewErrors.std()) + # return None + + # Second Pass: Calculate Finalized Extrinsics # + calibration_error, cameraMatrix, distCoeffs, rvecs, tvecs = aruco.calibrateCameraCharuco( + charucoCorners=final_corners_all, + charucoIds=final_ids_all, + board=CHARUCO_BOARD, + imageSize=fixed_image_size, + flags=calib_flags, + **self._intrinsics_dict[self._curr_cam_id], + ) + + # Return Transformation # + if calibration_error > self.reprojection_error_threshold: + return None + # print('Failed Calibration Threshold') + # print('Calibration Error: ', calibration_error) + # return None + + rmats = [R.from_rotvec(rvec.flatten()).as_matrix() for rvec in rvecs] + tvecs = [tvec.flatten() for tvec in tvecs] + + return rmats, tvecs, final_successes + + def augment_image(self, cam_id, image, visualize=False, visual_type=["markers", "axes"]): + if type(visual_type) != list: + visual_type = [visual_type] + assert all([t in ["markers", "charuco", "axes"] for t in visual_type]) + if image.shape[2] == 4: + image = cv2.cvtColor(image, cv2.COLOR_BGRA2BGR) + self._curr_cam_id = cam_id + + image = np.copy(image) + readings = self.process_image(image) + + if readings is None: + if visualize: + cv2.imshow("Charuco board: {0}".format(cam_id), image) + cv2.waitKey(20) + return image + + corners, charuco_corners, charuco_ids, image_size = readings + + # Outline the aruco markers found in our query image + if "markers" in visual_type: + image = aruco.drawDetectedMarkers(image=image, corners=corners) + + # Draw the Charuco board we've detected to show our calibrator the board was properly detected + if "charuco" in visual_type: + image = aruco.drawDetectedCornersCharuco(image=image, charucoCorners=charuco_corners, charucoIds=charuco_ids) + + if "axes" in visual_type: + calibration_error, cameraMatrix, distCoeffs, rvecs, tvecs = aruco.calibrateCameraCharuco( + charucoCorners=[charuco_corners], + charucoIds=[charuco_ids], + board=CHARUCO_BOARD, + imageSize=image_size, + flags=calib_flags, + **self._intrinsics_dict[self._curr_cam_id], + ) + cv2.drawFrameAxes(image, cameraMatrix, distCoeffs, rvecs[0], tvecs[0], 0.1) + + # Visualize + if visualize: + cv2.imshow("Charuco board: {0}".format(cam_id), image) + cv2.waitKey(20) + + return image + + +class ThirdPersonCameraCalibrator(CharucoDetector): + def __init__( + self, intrinsics_dict, lin_error_threshold=1e-3, rot_error_threshold=1e-2, train_percentage=0.7, **kwargs + ): + self.lin_error_threshold = lin_error_threshold + self.rot_error_threshold = rot_error_threshold + self.train_percentage = train_percentage + super().__init__(intrinsics_dict, **kwargs) + + def calibrate(self, cam_id): + return self._calibrate_cam_to_base(cam_id=cam_id) + + def _calibrate_cam_to_base(self, cam_id=None, readings=None, gripper_poses=None, target2cam_results=None): + # Get Calibration Data # + if cam_id is not None: + readings, gripper_poses = self._readings_dict[cam_id], self._pose_dict[cam_id] + self._curr_cam_id = cam_id + + # Get Target2Cam Transformation # + if target2cam_results is None: + target2cam_results = self.calculate_target_to_cam(readings) + if target2cam_results is None: + return None + + R_target2cam, t_target2cam, successes = target2cam_results + gripper_poses = np.array(gripper_poses)[successes] + + # Calculate Appropriate Transformations # + t_base2gripper = [ + -R.from_euler("xyz", pose[3:6]).inv().as_matrix() @ np.array(pose[:3]) for pose in gripper_poses + ] + R_base2gripper = [R.from_euler("xyz", pose[3:6]).inv().as_matrix() for pose in gripper_poses] + + # Perform Calibration # + rmat, pos = cv2.calibrateHandEye( + R_gripper2base=R_base2gripper, + t_gripper2base=t_base2gripper, + R_target2cam=R_target2cam, + t_target2cam=t_target2cam, + method=4, + ) + + # Return Pose # + pos = pos.flatten() + angle = R.from_matrix(rmat).as_euler("xyz") + pose = np.concatenate([pos, angle]) + + return pose + + def _calibrate_gripper_to_target(self, cam_id=None, readings=None, gripper_poses=None, target2cam_results=None): + # Get Calibration Data # + if cam_id is not None: + readings, gripper_poses = self._readings_dict[cam_id], self._pose_dict[cam_id] + self._curr_cam_id = cam_id + + # Get Target2Cam Transformation # + if target2cam_results is None: + target2cam_results = self.calculate_target_to_cam(readings) + if target2cam_results is None: + return None + + R_target2cam, t_target2cam, successes = target2cam_results + gripper_poses = np.array(gripper_poses)[successes] + + # Calculate Appropriate Transformations # + t_base2gripper = [ + -R.from_euler("xyz", pose[3:6]).inv().as_matrix() @ np.array(pose[:3]) for pose in gripper_poses + ] + R_base2gripper = [R.from_euler("xyz", pose[3:6]).inv().as_matrix() for pose in gripper_poses] + + # Perform Calibration # + rmat, pos = cv2.calibrateHandEye( + R_gripper2base=R_target2cam, + t_gripper2base=t_target2cam, + R_target2cam=R_base2gripper, + t_target2cam=t_base2gripper, + method=4, + ) + + # Return Pose # + pos = pos.flatten() + angle = R.from_matrix(rmat).as_euler("xyz") + pose = np.concatenate([pos, angle]) + + return pose + + def _calculate_gripper_to_base(self, train_readings, train_gripper_poses, eval_readings=None): + if eval_readings is None: + eval_readings = train_readings + + # Get Eval Target2Cam Transformations # + eval_results = self.calculate_target_to_cam(eval_readings, train=False) + if eval_results is None: + return None + eval_R_target2cam, eval_t_target2cam, eval_successes = eval_results + rmats, tvecs = [], [] + + # Get Train Target2Cam Transformations # + train_results = self.calculate_target_to_cam(train_readings) + if train_results is None: + return None + + # Use Training Data For Calibrations # + gripper2target = self._calibrate_gripper_to_target( + gripper_poses=train_gripper_poses, target2cam_results=train_results + ) + R_gripper2target = R.from_euler("xyz", gripper2target[3:]).as_matrix() + t_gripper2target = np.array(gripper2target[:3]) + + cam2base = self._calibrate_cam_to_base(gripper_poses=train_gripper_poses, target2cam_results=train_results) + R_cam2base = R.from_euler("xyz", cam2base[3:]).as_matrix() + t_cam2base = np.array(cam2base[:3]) + + # Calculate Gripper2Base # + for i in range(len(eval_R_target2cam)): + R_gripper2cam = eval_R_target2cam[i] @ R_gripper2target + t_gripper2cam = eval_R_target2cam[i] @ t_gripper2target + eval_t_target2cam[i] + + R_gripper2base = R_cam2base @ R_gripper2cam + t_gripper2base = R_cam2base @ t_gripper2cam + t_cam2base + + rmats.append(R_gripper2base) + tvecs.append(t_gripper2base) + + # Return Poses # + eulers = np.array([R.from_matrix(rmat).as_euler("xyz") for rmat in rmats]) + eval_poses = np.concatenate([np.array(tvecs), eulers], axis=1) + + return eval_poses, eval_successes + + def is_calibration_accurate(self, cam_id): + # Set Camera # + self._curr_cam_id = cam_id + + # Split Into Train / Test # + readings = self._readings_dict[cam_id] + if len(readings) == 0: + return False + poses = np.array(self._pose_dict[cam_id]) + ind = np.random.choice(len(readings), size=len(readings), replace=False) + num_train = int(len(readings) * self.train_percentage) + + train_ind, test_ind = ind[:num_train], ind[num_train:] + train_poses, test_poses = poses[train_ind], poses[test_ind] + train_readings = [readings[i] for i in train_ind] + test_readings = [readings[i] for i in test_ind] + + # Calculate Approximate Gripper2Base Transformations # + results = self._calculate_gripper_to_base(train_readings, train_poses, eval_readings=test_readings) + if results is None: + return False + approx_poses, successes = results + test_poses = np.array(test_poses)[successes] + + # Calculate Per Dimension Error # + pose_error = np.array([pose_diff(pose, approx_pose) for pose, approx_pose in zip(test_poses, approx_poses)]) + lin_error = np.linalg.norm(pose_error[:, :3], axis=0) ** 2 / pose_error.shape[0] + rot_error = np.linalg.norm(pose_error[:, 3:6], axis=0) ** 2 / pose_error.shape[0] + + # Check Calibration Error # + lin_success = np.all(lin_error < self.lin_error_threshold) + rot_success = np.all(rot_error < self.rot_error_threshold) + + # print('Pose Std: ', poses.std(axis=0)) + # print('Lin Error: ', lin_error) + # print('Rot Error: ', rot_error) + + return lin_success and rot_success + + +class HandCameraCalibrator(CharucoDetector): + def __init__(self, camera, lin_error_threshold=1e-3, rot_error_threshold=1e-2, train_percentage=0.7, **kwargs): + self.lin_error_threshold = lin_error_threshold + self.rot_error_threshold = rot_error_threshold + self.train_percentage = train_percentage + super().__init__(camera, **kwargs) + + def calibrate(self, cam_id): + return self._calibrate_cam_to_gripper(cam_id=cam_id) + + def _calibrate_cam_to_gripper(self, cam_id=None, readings=None, gripper_poses=None, target2cam_results=None): + # Get Calibration Data # + if cam_id is not None: + readings, gripper_poses = self._readings_dict[cam_id], self._pose_dict[cam_id] + self._curr_cam_id = cam_id + + # Get Target2Cam Transformation # + if target2cam_results is None: + target2cam_results = self.calculate_target_to_cam(readings) + if target2cam_results is None: + return None + + R_target2cam, t_target2cam, successes = target2cam_results + gripper_poses = np.array(gripper_poses)[successes] + + # Calculate Appropriate Transformations # + t_gripper2base = [np.array(pose[:3]) for pose in gripper_poses] + R_gripper2base = [R.from_euler("xyz", pose[3:6]).as_matrix() for pose in gripper_poses] + + # Perform Calibration # + rmat, pos = cv2.calibrateHandEye( + R_gripper2base=R_gripper2base, + t_gripper2base=t_gripper2base, + R_target2cam=R_target2cam, + t_target2cam=t_target2cam, + method=4, + ) + + # Return Pose # + pos = pos.flatten() + angle = R.from_matrix(rmat).as_euler("xyz") + pose = np.concatenate([pos, angle]) + + return pose + + def _calibrate_base_to_target(self, cam_id=None, readings=None, gripper_poses=None, target2cam_results=None): + # Get Calibration Data # + if cam_id is not None: + readings, gripper_poses = self._readings_dict[cam_id], self._pose_dict[cam_id] + self._curr_cam_id = cam_id + + # Get Target2Cam Transformation # + if target2cam_results is None: + target2cam_results = self.calculate_target_to_cam(readings) + if target2cam_results is None: + return None + + R_target2cam, t_target2cam, successes = target2cam_results + gripper_poses = np.array(gripper_poses)[successes] + + # Calculate Appropriate Transformations # + t_gripper2base = [np.array(pose[:3]) for pose in gripper_poses] + R_gripper2base = [R.from_euler("xyz", pose[3:6]).as_matrix() for pose in gripper_poses] + + # Perform Calibration # + rmat, pos = cv2.calibrateHandEye( + R_gripper2base=R_target2cam, + t_gripper2base=t_target2cam, + R_target2cam=R_gripper2base, + t_target2cam=t_gripper2base, + method=4, + ) + + # Return Pose # + pos = pos.flatten() + angle = R.from_matrix(rmat).as_euler("xyz") + pose = np.concatenate([pos, angle]) + + return pose + + def _calculate_gripper_to_base(self, train_readings, train_gripper_poses, eval_readings=None): + if eval_readings is None: + eval_readings = train_readings + + # Get Eval Target2Cam Transformations # + eval_results = self.calculate_target_to_cam(eval_readings, train=False) + if eval_results is None: + return None + eval_R_target2cam, eval_t_target2cam, eval_successes = eval_results + rmats, tvecs = [], [] + + # Get Train Target2Cam Transformations # + train_results = self.calculate_target_to_cam(train_readings) + if train_results is None: + return None + + # Use Training Data For Calibrations # + base2target = self._calibrate_base_to_target(gripper_poses=train_gripper_poses, target2cam_results=train_results) + R_base2target = R.from_euler("xyz", base2target[3:]).as_matrix() + t_base2target = np.array(base2target[:3]) + + cam2gripper = self._calibrate_cam_to_gripper(gripper_poses=train_gripper_poses, target2cam_results=train_results) + R_cam2gripper = R.from_euler("xyz", cam2gripper[3:]).as_matrix() + t_cam2gripper = np.array(cam2gripper[:3]) + + # Calculate Gripper2Base # + for i in range(len(eval_R_target2cam)): + R_base2cam = eval_R_target2cam[i] @ R_base2target + t_base2cam = eval_R_target2cam[i] @ t_base2target + eval_t_target2cam[i] + + R_base2gripper = R_cam2gripper @ R_base2cam + t_base2gripper = R_cam2gripper @ t_base2cam + t_cam2gripper + + R_gripper2base = R.from_matrix(R_base2gripper).inv().as_matrix() + t_gripper2base = -R_gripper2base @ t_base2gripper + + rmats.append(R_gripper2base) + tvecs.append(t_gripper2base) + + # Return Poses # + eulers = np.array([R.from_matrix(rmat).as_euler("xyz") for rmat in rmats]) + eval_poses = np.concatenate([np.array(tvecs), eulers], axis=1) + + return eval_poses, eval_successes + + def is_calibration_accurate(self, cam_id): + # Set Camera # + self._curr_cam_id = cam_id + + # Split Into Train / Test # + readings = self._readings_dict[cam_id] + if len(readings) == 0: + return False + poses = np.array(self._pose_dict[cam_id]) + ind = np.random.choice(len(readings), size=len(readings), replace=False) + num_train = int(len(readings) * self.train_percentage) + + train_ind, test_ind = ind[:num_train], ind[num_train:] + train_poses, test_poses = poses[train_ind], poses[test_ind] + train_readings = [readings[i] for i in train_ind] + test_readings = [readings[i] for i in test_ind] + + # Calculate Approximate Gripper2Base Transformations # + results = self._calculate_gripper_to_base(train_readings, train_poses, eval_readings=test_readings) + if results is None: + return False + approx_poses, successes = results + test_poses = np.array(test_poses)[successes] + + # Calculate Per Dimension Error # + pose_error = np.array([pose_diff(pose, approx_pose) for pose, approx_pose in zip(test_poses, approx_poses)]) + lin_error = np.linalg.norm(pose_error[:, :3], axis=0) ** 2 / pose_error.shape[0] + rot_error = np.linalg.norm(pose_error[:, 3:6], axis=0) ** 2 / pose_error.shape[0] + + # Check Calibration Error # + lin_success = np.all(lin_error < self.lin_error_threshold) + rot_success = np.all(rot_error < self.rot_error_threshold) + + # print('Pose Std: ', poses.std(axis=0)) + # print('Lin Error: ', lin_error) + # print('Rot Error: ', rot_error) + + return lin_success and rot_success diff --git a/droid/camera_utils/__init__.py b/droid/camera_utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/camera_utils/camera_readers/__init__.py b/droid/camera_utils/camera_readers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/camera_utils/camera_readers/zed_camera.py b/droid/camera_utils/camera_readers/zed_camera.py new file mode 100644 index 0000000..1e25988 --- /dev/null +++ b/droid/camera_utils/camera_readers/zed_camera.py @@ -0,0 +1,229 @@ +from copy import deepcopy + +import cv2 +import numpy as np + +from droid.misc.parameters import hand_camera_id +from droid.misc.time import time_ms + +try: + import pyzed.sl as sl +except ModuleNotFoundError: + print("WARNING: You have not setup the ZED cameras, and currently cannot use them") + + +def gather_zed_cameras(): + all_zed_cameras = [] + try: + cameras = sl.Camera.get_device_list() + except NameError: + return [] + + for cam in cameras: + cam = ZedCamera(cam) + all_zed_cameras.append(cam) + + return all_zed_cameras + + +resize_func_map = {"cv2": cv2.resize, None: None} + +standard_params = dict( + depth_minimum_distance=0.1, camera_resolution=sl.RESOLUTION.HD720, depth_stabilization=False, camera_fps=60, camera_image_flip=sl.FLIP_MODE.OFF +) + +advanced_params = dict( + depth_minimum_distance=0.1, camera_resolution=sl.RESOLUTION.HD2K, depth_stabilization=False, camera_fps=15, camera_image_flip=sl.FLIP_MODE.OFF +) + + +class ZedCamera: + def __init__(self, camera): + # Save Parameters # + self.serial_number = str(camera.serial_number) + self.is_hand_camera = self.serial_number == hand_camera_id + self.high_res_calibration = False + self.current_mode = None + self._current_params = None + self._extriniscs = {} + + # Open Camera # + print("Opening Zed: ", self.serial_number) + + def enable_advanced_calibration(self): + self.high_res_calibration = True + + def disable_advanced_calibration(self): + self.high_res_calibration = False + + def set_reading_parameters( + self, + image=True, + depth=False, + pointcloud=False, + concatenate_images=False, + resolution=(0, 0), + resize_func=None, + ): + # Non-Permenant Values # + self.traj_image = image + self.traj_concatenate_images = concatenate_images + self.traj_resolution = resolution + + # Permenant Values # + self.depth = depth + self.pointcloud = pointcloud + self.resize_func = resize_func_map[resize_func] + + ### Camera Modes ### + def set_calibration_mode(self): + # Set Parameters # + self.image = True + self.concatenate_images = False + self.skip_reading = False + self.zed_resolution = sl.Resolution(0, 0) + self.resizer_resolution = (0, 0) + + # Set Mode # + change_settings_1 = (self.high_res_calibration) and (self._current_params != advanced_params) + change_settings_2 = (not self.high_res_calibration) and (self._current_params != standard_params) + if change_settings_1: + self._configure_camera(advanced_params) + if change_settings_2: + self._configure_camera(standard_params) + self.current_mode = "calibration" + + def set_trajectory_mode(self): + # Set Parameters # + self.image = self.traj_image + self.concatenate_images = self.traj_concatenate_images + self.skip_reading = not any([self.image, self.depth, self.pointcloud]) + + if self.resize_func is None: + self.zed_resolution = sl.Resolution(*self.traj_resolution) + self.resizer_resolution = (0, 0) + else: + self.zed_resolution = sl.Resolution(0, 0) + self.resizer_resolution = self.traj_resolution + + # Set Mode # + change_settings = self._current_params != standard_params + if change_settings: + self._configure_camera(standard_params) + self.current_mode = "trajectory" + + def _configure_camera(self, init_params): + # Close Existing Camera # + self.disable_camera() + + # Initialize Readers # + self._cam = sl.Camera() + self._sbs_img = sl.Mat() + self._left_img = sl.Mat() + self._right_img = sl.Mat() + self._left_depth = sl.Mat() + self._right_depth = sl.Mat() + self._left_pointcloud = sl.Mat() + self._right_pointcloud = sl.Mat() + self._runtime = sl.RuntimeParameters() + + # Open Camera # + self._current_params = init_params + sl_params = sl.InitParameters(**init_params) + sl_params.set_from_serial_number(int(self.serial_number)) + sl_params.camera_image_flip = sl.FLIP_MODE.OFF + status = self._cam.open(sl_params) + if status != sl.ERROR_CODE.SUCCESS: + raise RuntimeError("Camera Failed To Open") + + # Save Intrinsics # + self.latency = int(2.5 * (1e3 / sl_params.camera_fps)) + calib_params = self._cam.get_camera_information().camera_configuration.calibration_parameters + self._intrinsics = { + self.serial_number + "_left": self._process_intrinsics(calib_params.left_cam), + self.serial_number + "_right": self._process_intrinsics(calib_params.right_cam), + } + + ### Calibration Utilities ### + def _process_intrinsics(self, params): + intrinsics = {} + intrinsics["cameraMatrix"] = np.array([[params.fx, 0, params.cx], [0, params.fy, params.cy], [0, 0, 1]]) + intrinsics["distCoeffs"] = np.array(list(params.disto)) + return intrinsics + + def get_intrinsics(self): + return deepcopy(self._intrinsics) + + ### Recording Utilities ### + def start_recording(self, filename): + assert filename.endswith(".svo") + recording_param = sl.RecordingParameters(filename, sl.SVO_COMPRESSION_MODE.H265) + err = self._cam.enable_recording(recording_param) + assert err == sl.ERROR_CODE.SUCCESS + + def stop_recording(self): + self._cam.disable_recording() + + ### Basic Camera Utilities ### + def _process_frame(self, frame): + frame = deepcopy(frame.get_data()) + if self.resizer_resolution == (0, 0): + return frame + return self.resize_func(frame, self.resizer_resolution) + + def read_camera(self): + # Skip if Read Unnecesary # + if self.skip_reading: + return {}, {} + + # Read Camera # + timestamp_dict = {self.serial_number + "_read_start": time_ms()} + err = self._cam.grab(self._runtime) + if err != sl.ERROR_CODE.SUCCESS: + return None + timestamp_dict[self.serial_number + "_read_end"] = time_ms() + + # Benchmark Latency # + received_time = self._cam.get_timestamp(sl.TIME_REFERENCE.IMAGE).get_milliseconds() + timestamp_dict[self.serial_number + "_frame_received"] = received_time + timestamp_dict[self.serial_number + "_estimated_capture"] = received_time - self.latency + + # Return Data # + data_dict = {} + + if self.image: + if self.concatenate_images: + self._cam.retrieve_image(self._sbs_img, sl.VIEW.SIDE_BY_SIDE, resolution=self.zed_resolution) + data_dict["image"] = {self.serial_number: self._process_frame(self._sbs_img)} + else: + self._cam.retrieve_image(self._left_img, sl.VIEW.LEFT, resolution=self.zed_resolution) + self._cam.retrieve_image(self._right_img, sl.VIEW.RIGHT, resolution=self.zed_resolution) + data_dict["image"] = { + self.serial_number + "_left": self._process_frame(self._left_img), + self.serial_number + "_right": self._process_frame(self._right_img), + } + # if self.depth: + # self._cam.retrieve_measure(self._left_depth, sl.MEASURE.DEPTH, resolution=self.resolution) + # self._cam.retrieve_measure(self._right_depth, sl.MEASURE.DEPTH_RIGHT, resolution=self.resolution) + # data_dict['depth'] = { + # self.serial_number + '_left': self._left_depth.get_data().copy(), + # self.serial_number + '_right': self._right_depth.get_data().copy()} + # if self.pointcloud: + # self._cam.retrieve_measure(self._left_pointcloud, sl.MEASURE.XYZRGBA, resolution=self.resolution) + # self._cam.retrieve_measure(self._right_pointcloud, sl.MEASURE.XYZRGBA_RIGHT, resolution=self.resolution) + # data_dict['pointcloud'] = { + # self.serial_number + '_left': self._left_pointcloud.get_data().copy(), + # self.serial_number + '_right': self._right_pointcloud.get_data().copy()} + + return data_dict, timestamp_dict + + def disable_camera(self): + if self.current_mode == "disabled": + return + if hasattr(self, "_cam"): + self._current_params = None + self._cam.close() + self.current_mode = "disabled" + + def is_running(self): + return self.current_mode != "disabled" diff --git a/droid/camera_utils/info.py b/droid/camera_utils/info.py new file mode 100644 index 0000000..17447b6 --- /dev/null +++ b/droid/camera_utils/info.py @@ -0,0 +1,33 @@ +from droid.misc.parameters import * + +camera_type_dict = { + hand_camera_id: 0, + varied_camera_1_id: 1, + varied_camera_2_id: 1, +} + +camera_type_to_string_dict = { + 0: "hand_camera", + 1: "varied_camera", + 2: "fixed_camera", +} + +camera_name_dict = { + hand_camera_id: "Hand Camera", + varied_camera_1_id: "Varied Camera #1", + varied_camera_2_id: "Varied Camera #2", +} + + +def get_camera_name(cam_id): + if cam_id in camera_name_dict: + return camera_name_dict[cam_id] + return cam_id + + +def get_camera_type(cam_id): + if cam_id not in camera_type_dict: + return None + type_int = camera_type_dict[cam_id] + type_str = camera_type_to_string_dict[type_int] + return type_str diff --git a/droid/camera_utils/recording_readers/mp4_reader.py b/droid/camera_utils/recording_readers/mp4_reader.py new file mode 100644 index 0000000..2363cac --- /dev/null +++ b/droid/camera_utils/recording_readers/mp4_reader.py @@ -0,0 +1,116 @@ +import json +import os +from copy import deepcopy + +import cv2 + +resize_func_map = {"cv2": cv2.resize, None: None} + + +class MP4Reader: + def __init__(self, filepath, serial_number): + # Save Parameters # + self.serial_number = serial_number + self._index = 0 + + # Open Video Reader # + self._mp4_reader = cv2.VideoCapture(filepath) + if not self._mp4_reader.isOpened(): + print(filepath) + raise RuntimeError("Corrupted MP4 File") + + # Load Recording Timestamps # + timestamp_filepath = filepath[:-4] + "_timestamps.json" + if not os.path.isfile(timestamp_filepath): + self._recording_timestamps = [] + with open(timestamp_filepath, "r") as jsonFile: + self._recording_timestamps = json.load(jsonFile) + + def set_reading_parameters( + self, + image=True, + concatenate_images=False, + resolution=(0, 0), + resize_func=None, + ): + # Save Parameters # + self.image = image + self.concatenate_images = concatenate_images + self.resolution = resolution + self.resize_func = resize_func_map[resize_func] + self.skip_reading = not image + if self.skip_reading: + return + + def get_frame_resolution(self): + width = self._mp4_reader.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH) + height = self._mp4_reader.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT) + return (width, height) + + def get_frame_count(self): + if self.skip_reading: + return 0 + frame_count = int(self._mp4_reader.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)) + return frame_count + + def set_frame_index(self, index): + if self.skip_reading: + return + + if index < self._index: + self._mp4_reader.set(cv2.CAP_PROP_POS_FRAMES, index - 1) + self._index = index + + while self._index < index: + self.read_camera(ignore_data=True) + + def _process_frame(self, frame): + frame = deepcopy(frame) + if self.resolution == (0, 0): + return frame + return self.resize_func(frame, self.resolution) + # return cv2.resize(frame, self.resolution)#, interpolation=cv2.INTER_AREA) + + def read_camera(self, ignore_data=False, correct_timestamp=None, return_timestamp=False): + # Skip if Read Unnecesary # + if self.skip_reading: + return {} + + # Read Camera # + success, frame = self._mp4_reader.read() + try: + received_time = self._recording_timestamps[self._index] + except IndexError: + received_time = None + + self._index += 1 + if not success: + return None + if ignore_data: + return None + + # Check Image Timestamp # + timestamps_given = (received_time is not None) and (correct_timestamp is not None) + if timestamps_given and (correct_timestamp != received_time): + print("Timestamps did not match...") + return None + + # Return Data # + data_dict = {} + + if self.concatenate_images: + data_dict["image"] = {self.serial_number: self._process_frame(frame)} + else: + single_width = frame.shape[1] // 2 + data_dict["image"] = { + self.serial_number + "_left": self._process_frame(frame[:, :single_width, :]), + self.serial_number + "_right": self._process_frame(frame[:, single_width:, :]), + } + + if return_timestamp: + return data_dict, received_time + return data_dict + + def disable_camera(self): + if hasattr(self, "_mp4_reader"): + self._mp4_reader.release() diff --git a/droid/camera_utils/recording_readers/svo_reader.py b/droid/camera_utils/recording_readers/svo_reader.py new file mode 100644 index 0000000..becaed0 --- /dev/null +++ b/droid/camera_utils/recording_readers/svo_reader.py @@ -0,0 +1,148 @@ +from copy import deepcopy + +import cv2 + +try: + import pyzed.sl as sl +except ModuleNotFoundError: + print("WARNING: You have not setup the ZED cameras, and currently cannot use them") + +resize_func_map = {"cv2": cv2.resize, None: None} + + +class SVOReader: + def __init__(self, filepath, serial_number): + # Save Parameters # + self.serial_number = serial_number + self._index = 0 + + # Initialize Readers # + self._sbs_img = sl.Mat() + self._left_img = sl.Mat() + self._right_img = sl.Mat() + self._left_depth = sl.Mat() + self._right_depth = sl.Mat() + self._left_pointcloud = sl.Mat() + self._right_pointcloud = sl.Mat() + + # Set SVO path for playback + init_parameters = sl.InitParameters() + init_parameters.camera_image_flip = sl.FLIP_MODE.OFF + init_parameters.set_from_svo_file(filepath) + + # Open the ZED + self._cam = sl.Camera() + status = self._cam.open(init_parameters) + if status != sl.ERROR_CODE.SUCCESS: + print("Zed Error: " + repr(status)) + + def set_reading_parameters( + self, + image=True, + depth=False, + pointcloud=False, + concatenate_images=False, + resolution=(0, 0), + resize_func=None, + ): + # Save Parameters # + self.image = image + self.depth = depth + self.pointcloud = pointcloud + self.concatenate_images = concatenate_images + self.resize_func = resize_func_map[resize_func] + + if self.resize_func is None: + self.zed_resolution = sl.Resolution(*resolution) + self.resizer_resolution = (0, 0) + else: + self.zed_resolution = sl.Resolution(0, 0) + self.resizer_resolution = resolution + + self.skip_reading = not any([image, depth, pointcloud]) + if self.skip_reading: + return + + def get_frame_resolution(self): + camera_info = self._cam.get_camera_information().camera_configuration + width = camera_info.resolution.width + height = camera_info.resolution.height + return (width, height) + + def get_frame_count(self): + if self.skip_reading: + return 0 + return self._cam.get_svo_number_of_frames() + + def set_frame_index(self, index): + if self.skip_reading: + return + + if index < self._index: + self._cam.set_svo_position(index) + self._index = index + + while self._index < index: + self.read_camera(ignore_data=True) + + def _process_frame(self, frame): + frame = deepcopy(frame.get_data()) + if self.resizer_resolution == (0, 0): + return frame + return self.resize_func(frame, self.resizer_resolution) + + def read_camera(self, ignore_data=False, correct_timestamp=None, return_timestamp=False): + # Skip if Read Unnecesary # + if self.skip_reading: + return {} + + # Read Camera # + self._index += 1 + err = self._cam.grab() + if err != sl.ERROR_CODE.SUCCESS: + return None + if ignore_data: + return None + + # Check Image Timestamp # + received_time = self._cam.get_timestamp(sl.TIME_REFERENCE.IMAGE).get_milliseconds() + timestamp_error = (correct_timestamp is not None) and (correct_timestamp != received_time) + + if timestamp_error: + print("Timestamps did not match...") + return None + + # Return Data # + data_dict = {} + + if self.image: + if self.concatenate_images: + self._cam.retrieve_image(self._sbs_img, sl.VIEW.SIDE_BY_SIDE, resolution=self.zed_resolution) + data_dict["image"] = {self.serial_number: self._process_frame(self._sbs_img)} + else: + self._cam.retrieve_image(self._left_img, sl.VIEW.LEFT, resolution=self.zed_resolution) + self._cam.retrieve_image(self._right_img, sl.VIEW.RIGHT, resolution=self.zed_resolution) + data_dict["image"] = { + self.serial_number + "_left": self._process_frame(self._left_img), + self.serial_number + "_right": self._process_frame(self._right_img), + } + # if self.depth: + # self._cam.retrieve_measure(self._left_depth, sl.MEASURE.DEPTH, resolution=self.resolution) + # self._cam.retrieve_measure(self._right_depth, sl.MEASURE.DEPTH_RIGHT, resolution=self.resolution) + # data_dict['depth'] = { + # self.serial_number + '_left': self._left_depth.get_data().copy(), + # self.serial_number + '_right': self._right_depth.get_data().copy()} + # if self.pointcloud: + # self._cam.retrieve_measure(self._left_pointcloud, sl.MEASURE.XYZRGBA, resolution=self.resolution) + # self._cam.retrieve_measure(self._right_pointcloud, sl.MEASURE.XYZRGBA_RIGHT, resolution=self.resolution) + # data_dict['pointcloud'] = { + # self.serial_number + '_left': self._left_pointcloud.get_data().copy(), + # self.serial_number + '_right': self._right_pointcloud.get_data().copy()} + + if return_timestamp: + return data_dict, received_time + return data_dict + + def disable_camera(self): + if hasattr(self, "_cam"): + self._cam.close() diff --git a/droid/camera_utils/wrappers/__init__.py b/droid/camera_utils/wrappers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/camera_utils/wrappers/multi_camera_wrapper.py b/droid/camera_utils/wrappers/multi_camera_wrapper.py new file mode 100644 index 0000000..cb6b4be --- /dev/null +++ b/droid/camera_utils/wrappers/multi_camera_wrapper.py @@ -0,0 +1,96 @@ +import os +import random +from collections import defaultdict + +from droid.camera_utils.camera_readers.zed_camera import gather_zed_cameras +from droid.camera_utils.info import get_camera_type + + +class MultiCameraWrapper: + def __init__(self, camera_kwargs={}): + # Open Cameras # + zed_cameras = gather_zed_cameras() + self.camera_dict = {cam.serial_number: cam for cam in zed_cameras} + + # Set Correct Parameters # + for cam_id in self.camera_dict.keys(): + cam_type = get_camera_type(cam_id) + curr_cam_kwargs = camera_kwargs.get(cam_type, {}) + self.camera_dict[cam_id].set_reading_parameters(**curr_cam_kwargs) + + # Launch Camera # + self.set_trajectory_mode() + + ### Calibration Functions ### + def get_camera(self, camera_id): + return self.camera_dict[camera_id] + + def enable_advanced_calibration(self): + for cam in self.camera_dict.values(): + cam.enable_advanced_calibration() + + def disable_advanced_calibration(self): + for cam in self.camera_dict.values(): + cam.disable_advanced_calibration() + + def set_calibration_mode(self, cam_id): + # If High Res Calibration, Only One Can Run # + close_all = any([cam.high_res_calibration for cam in self.camera_dict.values()]) + + if close_all: + for curr_cam_id in self.camera_dict: + if curr_cam_id != cam_id: + self.camera_dict[curr_cam_id].disable_camera() + + self.camera_dict[cam_id].set_calibration_mode() + + def set_trajectory_mode(self): + # If High Res Calibration, Close All # + close_all = any( + [cam.high_res_calibration and cam.current_mode == "calibration" for cam in self.camera_dict.values()] + ) + + if close_all: + for cam in self.camera_dict.values(): + cam.disable_camera() + + # Put All Cameras In Trajectory Mode # + for cam in self.camera_dict.values(): + cam.set_trajectory_mode() + + ### Data Storing Functions ### + def start_recording(self, recording_folderpath): + subdir = os.path.join(recording_folderpath, "SVO") + if not os.path.isdir(subdir): + os.makedirs(subdir) + for cam in self.camera_dict.values(): + filepath = os.path.join(subdir, cam.serial_number + ".svo") + cam.start_recording(filepath) + + def stop_recording(self): + for cam in self.camera_dict.values(): + cam.stop_recording() + + ### Basic Camera Functions ### + def read_cameras(self): + full_obs_dict = defaultdict(dict) + full_timestamp_dict = {} + + # Read Cameras In Randomized Order # + all_cam_ids = list(self.camera_dict.keys()) + random.shuffle(all_cam_ids) + + for cam_id in all_cam_ids: + if not self.camera_dict[cam_id].is_running(): + continue + data_dict, timestamp_dict = self.camera_dict[cam_id].read_camera() + + for key in data_dict: + full_obs_dict[key].update(data_dict[key]) + full_timestamp_dict.update(timestamp_dict) + + return full_obs_dict, full_timestamp_dict + + def disable_cameras(self): + for camera in self.camera_dict.values(): + camera.disable_camera() diff --git a/droid/camera_utils/wrappers/recorded_multi_camera_wrapper.py b/droid/camera_utils/wrappers/recorded_multi_camera_wrapper.py new file mode 100644 index 0000000..87e23b1 --- /dev/null +++ b/droid/camera_utils/wrappers/recorded_multi_camera_wrapper.py @@ -0,0 +1,63 @@ +import glob +import random +from collections import defaultdict + +from droid.camera_utils.info import get_camera_type +from droid.camera_utils.recording_readers.mp4_reader import MP4Reader +from droid.camera_utils.recording_readers.svo_reader import SVOReader + + +class RecordedMultiCameraWrapper: + def __init__(self, recording_folderpath, camera_kwargs={}): + # Save Camera Info # + self.camera_kwargs = camera_kwargs + + # Open Camera Readers # + svo_filepaths = glob.glob(recording_folderpath + "/*.svo") + mp4_filepaths = glob.glob(recording_folderpath + "/*.mp4") + all_filepaths = svo_filepaths + mp4_filepaths + + self.camera_dict = {} + for f in all_filepaths: + serial_number = f.split("/")[-1][:-4] + cam_type = get_camera_type(serial_number) + camera_kwargs.get(cam_type, {}) + + if f.endswith(".svo"): + Reader = SVOReader + elif f.endswith(".mp4"): + Reader = MP4Reader + else: + raise ValueError + + self.camera_dict[serial_number] = Reader(f, serial_number) + + def read_cameras(self, index=None, camera_type_dict={}, timestamp_dict={}): + full_obs_dict = defaultdict(dict) + + # Read Cameras In Randomized Order # + all_cam_ids = list(self.camera_dict.keys()) + random.shuffle(all_cam_ids) + + for cam_id in all_cam_ids: + cam_type = camera_type_dict[cam_id] + curr_cam_kwargs = self.camera_kwargs.get(cam_type, {}) + self.camera_dict[cam_id].set_reading_parameters(**curr_cam_kwargs) + + timestamp = timestamp_dict.get(cam_id + "_frame_received", None) + if index is not None: + self.camera_dict[cam_id].set_frame_index(index) + + data_dict = self.camera_dict[cam_id].read_camera(correct_timestamp=timestamp) + + # Process Returned Data # + if data_dict is None: + return None + for key in data_dict: + full_obs_dict[key].update(data_dict[key]) + + return full_obs_dict + + def disable_cameras(self): + for camera in self.camera_dict.values(): + camera.disable_camera() diff --git a/droid/controllers/oculus_controller.py b/droid/controllers/oculus_controller.py new file mode 100644 index 0000000..0de809d --- /dev/null +++ b/droid/controllers/oculus_controller.py @@ -0,0 +1,194 @@ +import time + +import numpy as np +from oculus_reader.reader import OculusReader + +from droid.misc.subprocess_utils import run_threaded_command +from droid.misc.transformations import add_angles, euler_to_quat, quat_diff, quat_to_euler, rmat_to_quat + + +def vec_to_reorder_mat(vec): + X = np.zeros((len(vec), len(vec))) + for i in range(X.shape[0]): + ind = int(abs(vec[i])) - 1 + X[i, ind] = np.sign(vec[i]) + return X + + +class VRPolicy: + def __init__( + self, + right_controller: bool = True, + max_lin_vel: float = 1, + max_rot_vel: float = 1, + max_gripper_vel: float = 1, + spatial_coeff: float = 1, + pos_action_gain: float = 5, + rot_action_gain: float = 2, + gripper_action_gain: float = 3, + rmat_reorder: list = [-2, -1, -3, 4], + ): + self.oculus_reader = OculusReader() + self.vr_to_global_mat = np.eye(4) + self.max_lin_vel = max_lin_vel + self.max_rot_vel = max_rot_vel + self.max_gripper_vel = max_gripper_vel + self.spatial_coeff = spatial_coeff + self.pos_action_gain = pos_action_gain + self.rot_action_gain = rot_action_gain + self.gripper_action_gain = gripper_action_gain + self.global_to_env_mat = vec_to_reorder_mat(rmat_reorder) + self.controller_id = "r" if right_controller else "l" + self.reset_orientation = True + self.reset_state() + + # Start State Listening Thread # + run_threaded_command(self._update_internal_state) + + def reset_state(self): + self._state = { + "poses": {}, + "buttons": {"A": False, "B": False}, + "movement_enabled": False, + "controller_on": True, + } + self.update_sensor = True + self.reset_origin = True + self.robot_origin = None + self.vr_origin = None + self.vr_state = None + + def _update_internal_state(self, num_wait_sec=5, hz=50): + last_read_time = time.time() + while True: + # Regulate Read Frequency # + time.sleep(1 / hz) + + # Read Controller + time_since_read = time.time() - last_read_time + poses, buttons = self.oculus_reader.get_transformations_and_buttons() + self._state["controller_on"] = time_since_read < num_wait_sec + if poses == {}: + continue + + # Determine Control Pipeline # + toggled = self._state["movement_enabled"] != buttons["RG"] + self.update_sensor = self.update_sensor or buttons["RG"] + self.reset_orientation = self.reset_orientation or buttons["RJ"] + self.reset_origin = self.reset_origin or toggled + + # Save Info # + self._state["poses"] = poses + self._state["buttons"] = buttons + self._state["movement_enabled"] = buttons["RG"] + self._state["controller_on"] = True + last_read_time = time.time() + + # Update Definition Of "Forward" # + stop_updating = self._state["buttons"]["RJ"] or self._state["movement_enabled"] + if self.reset_orientation: + rot_mat = np.asarray(self._state["poses"][self.controller_id]) + if stop_updating: + self.reset_orientation = False + # try to invert the rotation matrix, if not possible, then just use the identity matrix + try: + rot_mat = np.linalg.inv(rot_mat) + except: + print(f"exception for rot mat: {rot_mat}") + rot_mat = np.eye(4) + self.reset_orientation = True + self.vr_to_global_mat = rot_mat + + def _process_reading(self): + rot_mat = np.asarray(self._state["poses"][self.controller_id]) + rot_mat = self.global_to_env_mat @ self.vr_to_global_mat @ rot_mat + vr_pos = self.spatial_coeff * rot_mat[:3, 3] + vr_quat = rmat_to_quat(rot_mat[:3, :3]) + vr_gripper = self._state["buttons"]["rightTrig"][0] + + self.vr_state = {"pos": vr_pos, "quat": vr_quat, "gripper": vr_gripper} + + def _limit_velocity(self, lin_vel, rot_vel, gripper_vel): + """Scales down the linear and angular magnitudes of the action""" + lin_vel_norm = np.linalg.norm(lin_vel) + rot_vel_norm = np.linalg.norm(rot_vel) + gripper_vel_norm = np.linalg.norm(gripper_vel) + if lin_vel_norm > self.max_lin_vel: + lin_vel = lin_vel * self.max_lin_vel / lin_vel_norm + if rot_vel_norm > self.max_rot_vel: + rot_vel = rot_vel * self.max_rot_vel / rot_vel_norm + if gripper_vel_norm > self.max_gripper_vel: + gripper_vel = gripper_vel * self.max_gripper_vel / gripper_vel_norm + return lin_vel, rot_vel, gripper_vel + + def _calculate_action(self, state_dict, include_info=False): + # Read Sensor # + if self.update_sensor: + self._process_reading() + self.update_sensor = False + + # Read Observation + robot_pos = np.array(state_dict["cartesian_position"][:3]) + robot_euler = state_dict["cartesian_position"][3:] + robot_quat = euler_to_quat(robot_euler) + robot_gripper = state_dict["gripper_position"] + + # Reset Origin On Release # + if self.reset_origin: + self.robot_origin = {"pos": robot_pos, "quat": robot_quat} + self.vr_origin = {"pos": self.vr_state["pos"], "quat": self.vr_state["quat"]} + self.reset_origin = False + + # Calculate Positional Action # + robot_pos_offset = robot_pos - self.robot_origin["pos"] + target_pos_offset = self.vr_state["pos"] - self.vr_origin["pos"] + pos_action = target_pos_offset - robot_pos_offset + + # Calculate Euler Action # + robot_quat_offset = quat_diff(robot_quat, self.robot_origin["quat"]) + target_quat_offset = quat_diff(self.vr_state["quat"], self.vr_origin["quat"]) + quat_action = quat_diff(target_quat_offset, robot_quat_offset) + euler_action = quat_to_euler(quat_action) + + # Calculate Gripper Action # + gripper_action = self.vr_state["gripper"] - robot_gripper + + # Calculate Desired Pose # + target_pos = pos_action + robot_pos + target_euler = add_angles(euler_action, robot_euler) + target_cartesian = np.concatenate([target_pos, target_euler]) + target_gripper = self.vr_state["gripper"] + + # Scale Appropriately # + pos_action *= self.pos_action_gain + euler_action *= self.rot_action_gain + gripper_action *= self.gripper_action_gain + lin_vel, rot_vel, gripper_vel = self._limit_velocity(pos_action, euler_action, gripper_action) + + # Prepare Return Values # + info_dict = {"target_cartesian_position": target_cartesian, "target_gripper_position": target_gripper} + action = np.concatenate([lin_vel, rot_vel, [gripper_vel]]) + action = action.clip(-1, 1) + + # Return # + if include_info: + return action, info_dict + else: + return action + + def get_info(self): + return { + "success": self._state["buttons"]["A"], + "failure": self._state["buttons"]["B"], + "movement_enabled": self._state["movement_enabled"], + "controller_on": self._state["controller_on"], + } + + def forward(self, obs_dict, include_info=False): + if self._state["poses"] == {}: + action = np.zeros(7) + if include_info: + return action, {} + else: + return action + return self._calculate_action(obs_dict["robot_state"], include_info=include_info) diff --git a/droid/data_loading/data_loader.py b/droid/data_loading/data_loader.py new file mode 100644 index 0000000..bbb01e9 --- /dev/null +++ b/droid/data_loading/data_loader.py @@ -0,0 +1,72 @@ +from torch.utils.data import DataLoader +from torch.utils.data.datapipes.iter import Shuffler + +from droid.data_loading.dataset import TrajectoryDataset +from droid.data_loading.trajectory_sampler import * + + +def create_dataloader( + data_folderpaths, + recording_prefix="MP4", + batch_size=32, + num_workers=6, + buffer_size=1000, + prefetch_factor=2, + traj_loading_kwargs={}, + timestep_filtering_kwargs={}, + camera_kwargs={}, + image_transform_kwargs={}, +): + traj_sampler = TrajectorySampler( + data_folderpaths, + recording_prefix=recording_prefix, + traj_loading_kwargs=traj_loading_kwargs, + timestep_filtering_kwargs=timestep_filtering_kwargs, + image_transform_kwargs=image_transform_kwargs, + camera_kwargs=camera_kwargs, + ) + dataset = TrajectoryDataset(traj_sampler) + shuffled_dataset = Shuffler(dataset, buffer_size=buffer_size) + dataloader = DataLoader( + shuffled_dataset, batch_size=batch_size, num_workers=num_workers, prefetch_factor=prefetch_factor + ) + + return dataloader + + +def create_train_test_data_loader(data_loader_kwargs={}, data_processing_kwargs={}, camera_kwargs={}): + # Generate Train / Test Split # + data_filtering_kwargs = data_loader_kwargs.pop("data_filtering_kwargs", {}) + train_folderpaths, test_folderpaths = generate_train_test_split(**data_filtering_kwargs) + + # Create Train / Test Dataloaders # + train_dataloader = create_dataloader( + train_folderpaths, **data_loader_kwargs, **data_processing_kwargs, camera_kwargs=camera_kwargs + ) + test_dataloader = create_dataloader( + test_folderpaths, **data_loader_kwargs, **data_processing_kwargs, camera_kwargs=camera_kwargs + ) + + return train_dataloader, test_dataloader + + +# This is nice bc we only have one buffer at a time, but isn't working +class TrainTestDataloader: + def __init__(self, data_loader_kwargs={}, data_processing_kwargs={}, camera_kwargs={}): + # Generate Train / Test Split # + data_filtering_kwargs = data_loader_kwargs.pop("data_filtering_kwargs", {}) + self.train_folderpaths, self.test_folderpaths = generate_train_test_split(**data_filtering_kwargs) + + # Create Dataloader Generator # + self.generate_dataloader = lambda folderpaths: create_dataloader( + folderpaths, **data_loader_kwargs, **data_processing_kwargs, camera_kwargs=camera_kwargs + ) + + def set_train_mode(self): + self.dataloader = self.generate_dataloader(self.train_folderpaths) + + def set_test_mode(self): + self.dataloader = self.generate_dataloader(self.test_folderpaths) + + def __iter__(self): + return iter(self.dataloader) diff --git a/droid/data_loading/dataset.py b/droid/data_loading/dataset.py new file mode 100644 index 0000000..9366c77 --- /dev/null +++ b/droid/data_loading/dataset.py @@ -0,0 +1,20 @@ +import torch +from torch.utils.data import IterableDataset + + +class TrajectoryDataset(IterableDataset): + def __init__(self, trajectory_sampler): + self._trajectory_sampler = trajectory_sampler + + def _refresh_generator(self): + worker_info = torch.utils.data.get_worker_info() + new_samples = self._trajectory_sampler.fetch_samples(worker_info=worker_info) + self._sample_generator = iter(new_samples) + + def __iter__(self): + self._refresh_generator() + while True: + try: + yield next(self._sample_generator) + except StopIteration: + self._refresh_generator() diff --git a/droid/data_loading/tf_data_loader.py b/droid/data_loading/tf_data_loader.py new file mode 100644 index 0000000..35418ac --- /dev/null +++ b/droid/data_loading/tf_data_loader.py @@ -0,0 +1,118 @@ +from functools import partial +from typing import Dict + +import tensorflow as tf + + +def get_type_spec(path: str) -> Dict[str, tf.TensorSpec]: + """Get a type spec from a tfrecord file. + + Args: + path (str): Path to a single tfrecord file. + + Returns: + dict: A dictionary mapping feature names to tf.TensorSpecs. + """ + data = next(iter(tf.data.TFRecordDataset(path))).numpy() + example = tf.train.Example() + example.ParseFromString(data) + + out = {} + for key, value in example.features.feature.items(): + data = value.bytes_list.value[0] + tensor_proto = tf.make_tensor_proto([]) + tensor_proto.ParseFromString(data) + dtype = tf.dtypes.as_dtype(tensor_proto.dtype) + shape = [d.size for d in tensor_proto.tensor_shape.dim] + shape[0] = None # first dimension is trajectory length, which is variable + out[key] = tf.TensorSpec(shape=shape, dtype=dtype) + + return out + + +def get_tf_dataloader( + path: str, + *, + batch_size: int, + shuffle_buffer_size: int = 25000, + cache: bool = False, +) -> tf.data.Dataset: + # get the tfrecord files + paths = tf.io.gfile.glob(tf.io.gfile.join(path, "*.tfrecord")) + + # extract the type spec + type_spec = get_type_spec(paths[0]) + + # read the tfrecords (yields raw serialized examples) + dataset = tf.data.TFRecordDataset(paths, num_parallel_reads=tf.data.AUTOTUNE) + + # decode the examples (yields trajectories) + dataset = dataset.map(partial(_decode_example, type_spec=type_spec), num_parallel_calls=tf.data.AUTOTUNE) + + # cache all the dataloading (uses a lot of memory) + if cache: + dataset = dataset.cache() + + # do any trajectory-level transforms here (e.g. filtering, goal relabeling) + + # unbatch to get individual transitions + dataset = dataset.unbatch() + + # process each transition + dataset = dataset.map(_process_transition, num_parallel_calls=tf.data.AUTOTUNE) + + # do any transition-level transformations here (e.g. augmentations) + + # shuffle the dataset + dataset = dataset.shuffle(shuffle_buffer_size) + + dataset = dataset.repeat() + + # batch the dataset + dataset = dataset.batch(batch_size, num_parallel_calls=tf.data.AUTOTUNE) + + # always prefetch last + dataset = dataset.prefetch(tf.data.AUTOTUNE) + + return dataset + + +def _decode_example(example_proto: tf.Tensor, type_spec: Dict[str, tf.TensorSpec]) -> Dict[str, tf.Tensor]: + features = {key: tf.io.FixedLenFeature([], tf.string) for key in type_spec.keys()} + parsed_features = tf.io.parse_single_example(example_proto, features) + parsed_tensors = {key: tf.io.parse_tensor(parsed_features[key], spec.dtype) for key, spec in type_spec.items()} + + for key in parsed_tensors: + parsed_tensors[key] = tf.ensure_shape(parsed_tensors[key], type_spec[key].shape) + + return parsed_tensors + + +def _process_transition(transition: Dict[str, tf.Tensor]) -> Dict[str, tf.Tensor]: + for key in transition: + if "image" in key: + transition[key] = tf.io.decode_jpeg(transition[key]) + + # convert to float and normalize to [-1, 1] + transition[key] = tf.cast(transition[key], tf.float32) / 127.5 - 1.0 + return transition + + +if __name__ == "__main__": + ### EXAMPLE USAGE ### + import tqdm + + dataset = get_tf_dataloader( + "/tmp/franka_tfrecord_test/train", + batch_size=8, + shuffle_buffer_size=1, + ) + with tqdm.tqdm() as pbar: + for batch in dataset.as_numpy_iterator(): + for key, value in batch.items(): + pbar.write(f"{key}: {value.shape}") + images = batch["observation/image/20521388_right"] + pbar.update(len(images)) + # for image in images: + # plt.imshow(image / 2 + 0.5) + # plt.savefig("test.png") diff --git a/droid/data_loading/trajectory_sampler.py b/droid/data_loading/trajectory_sampler.py new file mode 100644 index 0000000..5ce1aaf --- /dev/null +++ b/droid/data_loading/trajectory_sampler.py @@ -0,0 +1,111 @@ +import os + +import h5py +import numpy as np + +from droid.data_processing.timestep_processing import TimestepProcesser +from droid.trajectory_utils.misc import load_trajectory + + +def crawler(dirname, filter_func=None): + subfolders = [f.path for f in os.scandir(dirname) if f.is_dir()] + traj_files = [f.path for f in os.scandir(dirname) if (f.is_file() and "trajectory.h5" in f.path)] + + if len(traj_files): + # Only Save Desired Data # + if filter_func is None: + use_data = True + else: + hdf5_file = h5py.File(traj_files[0], "r") + use_data = filter_func(hdf5_file.attrs) + hdf5_file.close() + + if use_data: + return [dirname] + + all_folderpaths = [] + for child_dirname in subfolders: + child_paths = crawler(child_dirname, filter_func=filter_func) + all_folderpaths.extend(child_paths) + + return all_folderpaths + + +def generate_train_test_split(filter_func=None, remove_failures=True, train_p=0.9): + # Collect And Split # + all_folderpaths = collect_data_folderpaths(filter_func=filter_func, remove_failures=remove_failures) + + # Split Into Train / Test # + num_train_traj = int(train_p * len(all_folderpaths)) + all_ind = np.random.permutation(len(all_folderpaths)) + training_ind, test_ind = all_ind[:num_train_traj], all_ind[num_train_traj:] + train_folderpaths, test_folderpaths = [], [] + + for i in range(len(all_folderpaths)): + folderpath = all_folderpaths[i] + if i in training_ind: + train_folderpaths.append(folderpath) + if i in test_ind: + test_folderpaths.append(folderpath) + + return train_folderpaths, test_folderpaths + + +def collect_data_folderpaths(filter_func=None, remove_failures=True): + # Prepare Data Folder # + dir_path = os.path.dirname(os.path.realpath(__file__)) + data_dir = os.path.join(dir_path, "../../data") + if remove_failures: + data_dir = os.path.join(data_dir, "success") + + # Collect # + all_folderpaths = crawler(data_dir, filter_func=filter_func) + + # Return Paths # + return all_folderpaths + + +class TrajectorySampler: + def __init__( + self, + all_folderpaths, + recording_prefix="", + traj_loading_kwargs={}, + timestep_filtering_kwargs={}, + image_transform_kwargs={}, + camera_kwargs={}, + ): + self._all_folderpaths = all_folderpaths + self.recording_prefix = recording_prefix + self.traj_loading_kwargs = traj_loading_kwargs + self.timestep_processer = TimestepProcesser( + **timestep_filtering_kwargs, image_transform_kwargs=image_transform_kwargs + ) + self.camera_kwargs = camera_kwargs + + def fetch_samples(self, worker_info=None): + if worker_info is None: + range_low, range_high = 0, len(self._all_folderpaths) + else: + slice_size = len(self._all_folderpaths) // worker_info.num_workers + range_low = slice_size * worker_info.id + range_high = slice_size * (worker_info.id + 1) + + traj_ind = np.random.randint(low=range_low, high=range_high) + folderpath = self._all_folderpaths[traj_ind] + + filepath = os.path.join(folderpath, "trajectory.h5") + recording_folderpath = os.path.join(folderpath, "recordings", self.recording_prefix) + if not os.path.exists(recording_folderpath): + recording_folderpath = None + + traj_samples = load_trajectory( + filepath, + recording_folderpath=recording_folderpath, + camera_kwargs=self.camera_kwargs, + **self.traj_loading_kwargs, + ) + + processed_traj_samples = [self.timestep_processer.forward(t) for t in traj_samples] + + return processed_traj_samples diff --git a/droid/data_processing/data_transforms.py b/droid/data_processing/data_transforms.py new file mode 100644 index 0000000..ab01eaa --- /dev/null +++ b/droid/data_processing/data_transforms.py @@ -0,0 +1,52 @@ +import cv2 +from torchvision import transforms as T + + +class ImageTransformer: + def __init__( + self, remove_alpha=False, bgr_to_rgb=False, augment=False, to_tensor=False, image_path="observation/camera/image" + ): + self.image_path = image_path.split("/") + self.apply_transforms = any([remove_alpha, bgr_to_rgb, augment, to_tensor]) + + # Build Composed Transform # + transforms = [] + + if remove_alpha: + new_transform = T.Lambda(lambda data: data[:, :, :3]) + transforms.append(new_transform) + + if bgr_to_rgb: + + def helper(data): + if data.shape[-1] == 4: + return cv2.cvtColor(data, cv2.COLOR_BGRA2RGBA) + return cv2.cvtColor(data, cv2.COLOR_BGR2RGB) + + new_transform = T.Lambda(lambda data: helper(data)) + transforms.append(new_transform) + + if augment: + transforms.append(T.ToPILImage()) + transforms.append(T.AugMix()) + + if to_tensor: + transforms.append(T.ToTensor()) + + self.composed_transforms = T.Compose(transforms) + + def forward(self, timestep): + # Skip If Unnecesary # + if not self.apply_transforms: + return timestep + + # Isolate Image Data # + obs = timestep + for key in self.image_path: + obs = obs[key] + + # Apply Transforms # + for cam_type in obs: + for i in range(len(obs[cam_type])): + data = self.composed_transforms(obs[cam_type][i]) + obs[cam_type][i] = data diff --git a/droid/data_processing/timestep_processing.py b/droid/data_processing/timestep_processing.py new file mode 100644 index 0000000..63297fa --- /dev/null +++ b/droid/data_processing/timestep_processing.py @@ -0,0 +1,124 @@ +from collections import defaultdict +from copy import deepcopy +from itertools import chain + +import numpy as np + +from droid.camera_utils.info import camera_type_to_string_dict +from droid.data_processing.data_transforms import ImageTransformer + + +class TimestepProcesser: + def __init__( + self, + ignore_action=False, + action_space="cartesian_velocity", + gripper_action_space=None, + robot_state_keys=["cartesian_position", "gripper_position", "joint_positions", "joint_velocities"], + camera_extrinsics=["hand_camera", "varied_camera", "fixed_camera"], + state_dtype=np.float32, + action_dtype=np.float32, + image_transform_kwargs={}, + ): + assert action_space in ["cartesian_position", "joint_position", "cartesian_velocity", "joint_velocity"] + + self.action_space = action_space + self.gripper_key = "gripper_velocity" if "velocity" in gripper_action_space else "gripper_position" + self.ignore_action = ignore_action + + self.robot_state_keys = robot_state_keys + self.camera_extrinsics = camera_extrinsics + + self.state_dtype = state_dtype + self.action_dtype = action_dtype + + self.image_transformer = ImageTransformer(**image_transform_kwargs) + + def forward(self, timestep): + # Make Deep Copy # + timestep = deepcopy(timestep) + + # Get Relevant Camera Info # + camera_type_dict = {k: camera_type_to_string_dict[v] for k, v in timestep["observation"]["camera_type"].items()} + sorted_camera_ids = sorted(camera_type_dict.keys()) + + ### Get Robot State Info ### + sorted_state_keys = sorted(self.robot_state_keys) + full_robot_state = timestep["observation"]["robot_state"] + robot_state = [np.array(full_robot_state[key]).flatten() for key in sorted_state_keys] + if len(robot_state): + robot_state = np.concatenate(robot_state) + + ### Get Extrinsics ### + calibration_dict = timestep["observation"]["camera_extrinsics"] + sorted_calibrated_ids = sorted(calibration_dict.keys()) + extrinsics_dict = defaultdict(list) + + for serial_number in sorted_camera_ids: + cam_type = camera_type_dict[serial_number] + if cam_type not in self.camera_extrinsics: + continue + + for full_cam_id in sorted_calibrated_ids: + if serial_number in full_cam_id: + cam2base = calibration_dict[full_cam_id] + extrinsics_dict[cam_type].append(cam2base) + + sorted_extrinsics_keys = sorted(extrinsics_dict.keys()) + extrinsics_state = list(chain(*[extrinsics_dict[cam_type] for cam_type in sorted_extrinsics_keys])) + if len(extrinsics_state): + extrinsics_state = np.concatenate(extrinsics_state) + + ### Get Intrinsics ### + cam_intrinsics_obs = timestep["observation"]["camera_intrinsics"] + sorted_calibrated_ids = sorted(calibration_dict.keys()) + intrinsics_dict = defaultdict(list) + + for serial_number in sorted_camera_ids: + cam_type = camera_type_dict[serial_number] + if cam_type not in self.camera_extrinsics: + continue + + full_cam_ids = sorted(cam_intrinsics_obs.keys()) + for full_cam_id in full_cam_ids: + if serial_number in full_cam_id: + intr = cam_intrinsics_obs[full_cam_id] + intrinsics_dict[cam_type].append(intr) + + sorted_intrinsics_keys = sorted(intrinsics_dict.keys()) + intrinsics_state = list([np.array(intrinsics_dict[cam_type]).flatten() for cam_type in sorted_intrinsics_keys]) + if len(intrinsics_state): + intrinsics_state = np.concatenate(intrinsics_state) + + ### Get High Dimensional State Info ### + high_dim_state_dict = defaultdict(lambda: defaultdict(list)) + + for obs_type in ["image", "depth", "pointcloud"]: + obs_type_dict = timestep["observation"].get(obs_type, {}) + sorted_obs_ids = sorted(obs_type_dict.keys()) + + for serial_number in sorted_camera_ids: + cam_type = camera_type_dict[serial_number] + + for full_obs_id in sorted_obs_ids: + if serial_number in full_obs_id: + data = obs_type_dict[full_obs_id] + high_dim_state_dict[obs_type][cam_type].append(data) + + ### Finish Observation Portion ### + low_level_state = np.concatenate([robot_state, extrinsics_state, intrinsics_state], dtype=self.state_dtype) + processed_timestep = {"observation": {"state": low_level_state, "camera": high_dim_state_dict}} + self.image_transformer.forward(processed_timestep) + + ### Add Proper Action ### + if not self.ignore_action: + arm_action = timestep["action"][self.action_space] + gripper_action = timestep["action"][self.gripper_key] + action = np.concatenate([arm_action, [gripper_action]], dtype=self.action_dtype) + processed_timestep["action"] = action + + # return raw information + meta data + processed_timestep["extrinsics_dict"] = extrinsics_dict + processed_timestep["intrinsics_dict"] = intrinsics_dict + + return processed_timestep diff --git a/droid/evaluation/eval_launcher.py b/droid/evaluation/eval_launcher.py new file mode 100644 index 0000000..c756a93 --- /dev/null +++ b/droid/evaluation/eval_launcher.py @@ -0,0 +1,76 @@ +import json +import os + +import numpy as np +import torch + +from droid.controllers.oculus_controller import VRPolicy +from droid.evaluation.policy_wrapper import PolicyWrapper +from droid.robot_env import RobotEnv +from droid.user_interface.data_collector import DataCollecter +from droid.user_interface.gui import RobotGUI + + +def eval_launcher(variant, run_id, exp_id): + # Get Directory # + dir_path = os.path.dirname(os.path.realpath(__file__)) + + # Prepare Log Directory # + variant["exp_name"] = os.path.join(variant["exp_name"], "run{0}/id{1}/".format(run_id, exp_id)) + log_dir = os.path.join(dir_path, "../../evaluation_logs", variant["exp_name"]) + + # Set Random Seeds # + torch.manual_seed(variant["seed"]) + np.random.seed(variant["seed"]) + + # Set Compute Mode # + use_gpu = variant.get("use_gpu", False) + torch.device("cuda:0" if use_gpu else "cpu") + + # Load Model + Variant # + policy_logdir = os.path.join(dir_path, "../../training_logs", variant["policy_logdir"]) + policy_filepath = os.path.join(policy_logdir, "models", "{0}.pt".format(variant["model_id"])) + policy = torch.load(policy_filepath) + + variant_filepath = os.path.join(policy_logdir, "variant.json") + with open(variant_filepath, "r") as jsonFile: + policy_variant = json.load(jsonFile) + + # Prepare Policy Wrapper # + data_processing_kwargs = variant.get("data_processing_kwargs", {}) + timestep_filtering_kwargs = data_processing_kwargs.get("timestep_filtering_kwargs", {}) + image_transform_kwargs = data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_data_processing_kwargs = policy_variant.get("data_processing_kwargs", {}) + policy_timestep_filtering_kwargs = policy_data_processing_kwargs.get("timestep_filtering_kwargs", {}) + policy_image_transform_kwargs = policy_data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_timestep_filtering_kwargs.update(timestep_filtering_kwargs) + policy_image_transform_kwargs.update(image_transform_kwargs) + + wrapped_policy = PolicyWrapper( + policy=policy, + timestep_filtering_kwargs=policy_timestep_filtering_kwargs, + image_transform_kwargs=policy_image_transform_kwargs, + eval_mode=True, + ) + + # Prepare Environment # + policy_action_space = policy_timestep_filtering_kwargs["action_space"] + + camera_kwargs = variant.get("camera_kwargs", {}) + policy_camera_kwargs = policy_variant.get("camera_kwargs", {}) + policy_camera_kwargs.update(camera_kwargs) + + env = RobotEnv(action_space=policy_action_space, camera_kwargs=policy_camera_kwargs) + controller = VRPolicy() + + # Launch GUI # + data_collector = DataCollecter( + env=env, + controller=controller, + policy=wrapped_policy, + save_traj_dir=log_dir, + save_data=variant.get("save_data", True), + ) + RobotGUI(robot=data_collector) diff --git a/droid/evaluation/eval_launcher_robomimic.py b/droid/evaluation/eval_launcher_robomimic.py new file mode 100644 index 0000000..5e4eb4a --- /dev/null +++ b/droid/evaluation/eval_launcher_robomimic.py @@ -0,0 +1,259 @@ +import json +import os +import numpy as np +import torch +from collections import OrderedDict +from copy import deepcopy + +from droid.controllers.oculus_controller import VRPolicy +from droid.evaluation.policy_wrapper import PolicyWrapperRobomimic +from droid.robot_env import RobotEnv +from droid.user_interface.data_collector import DataCollecter +from droid.user_interface.gui import RobotGUI + +import robomimic.utils.file_utils as FileUtils +import robomimic.utils.torch_utils as TorchUtils +import robomimic.utils.tensor_utils as TensorUtils + +import cv2 + +def eval_launcher(variant, run_id, exp_id): + # Get Directory # + dir_path = os.path.dirname(os.path.realpath(__file__)) + + # Prepare Log Directory # + variant["exp_name"] = os.path.join(variant["exp_name"], "run{0}/id{1}/".format(run_id, exp_id)) + log_dir = os.path.join(dir_path, "../../evaluation_logs", variant["exp_name"]) + + # Set Random Seeds # + torch.manual_seed(variant["seed"]) + np.random.seed(variant["seed"]) + + # Set Compute Mode # + use_gpu = variant.get("use_gpu", False) + torch.device("cuda:0" if use_gpu else "cpu") + + ckpt_path = variant["ckpt_path"] + + device = TorchUtils.get_torch_device(try_to_use_cuda=True) + ckpt_dict = FileUtils.maybe_dict_from_checkpoint(ckpt_path=ckpt_path) + config = json.loads(ckpt_dict["config"]) + + ### infer image size ### + for obs_key in ckpt_dict["shape_metadata"]["all_shapes"].keys(): + if 'camera/image' in obs_key: + imsize = max(ckpt_dict["shape_metadata"]["all_shapes"][obs_key]) + break + + ckpt_dict["config"] = json.dumps(config) + policy, _ = FileUtils.policy_from_checkpoint(ckpt_dict=ckpt_dict, device=device, verbose=True) + policy.goal_mode = config["train"]["goal_mode"] + policy.eval_mode = True + + # determine the action space (relative or absolute) + action_keys = config["train"]["action_keys"] + if "action/rel_pos" in action_keys: + action_space = "cartesian_velocity" + for k in action_keys: + assert not k.startswith("action/abs_") + elif "action/abs_pos" in action_keys: + action_space = "cartesian_position" + for k in action_keys: + assert not k.startswith("action/rel_") + else: + raise ValueError + + # determine the action space for the gripper + if "action/gripper_velocity" in action_keys: + gripper_action_space = "velocity" + elif "action/gripper_position" in action_keys: + gripper_action_space = "position" + else: + raise ValueError + + # determine the action space (relative or absolute) + action_keys = config["train"]["action_keys"] + if "action/rel_pos" in action_keys: + action_space = "cartesian_velocity" + for k in action_keys: + assert not k.startswith("action/abs_") + elif "action/abs_pos" in action_keys: + action_space = "cartesian_position" + for k in action_keys: + assert not k.startswith("action/rel_") + else: + raise ValueError + + # determine the action space for the gripper + if "action/gripper_velocity" in action_keys: + gripper_action_space = "velocity" + elif "action/gripper_position" in action_keys: + gripper_action_space = "position" + else: + raise ValueError + + # Prepare Policy Wrapper # + data_processing_kwargs = dict( + timestep_filtering_kwargs=dict( + action_space=action_space, + gripper_action_space=gripper_action_space, + robot_state_keys=["cartesian_position", "gripper_position", "joint_positions"], + # camera_extrinsics=[], + ), + image_transform_kwargs=dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=False, + ), + ) + timestep_filtering_kwargs = data_processing_kwargs.get("timestep_filtering_kwargs", {}) + image_transform_kwargs = data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_data_processing_kwargs = {} + policy_timestep_filtering_kwargs = policy_data_processing_kwargs.get("timestep_filtering_kwargs", {}) + policy_image_transform_kwargs = policy_data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_timestep_filtering_kwargs.update(timestep_filtering_kwargs) + policy_image_transform_kwargs.update(image_transform_kwargs) + + fs = config["train"]["frame_stack"] + + wrapped_policy = PolicyWrapperRobomimic( + policy=policy, + timestep_filtering_kwargs=policy_timestep_filtering_kwargs, + image_transform_kwargs=policy_image_transform_kwargs, + frame_stack=fs, + eval_mode=True, + ) + + camera_kwargs = dict( + hand_camera=dict(image=True, concatenate_images=False, resolution=(imsize, imsize), resize_func="cv2"), + varied_camera=dict(image=True, concatenate_images=False, resolution=(imsize, imsize), resize_func="cv2"), + ) + + policy_camera_kwargs = {} + policy_camera_kwargs.update(camera_kwargs) + + env = RobotEnv( + action_space=policy_timestep_filtering_kwargs["action_space"], + gripper_action_space=policy_timestep_filtering_kwargs["gripper_action_space"], + camera_kwargs=policy_camera_kwargs + ) + controller = VRPolicy() + + # Launch GUI # + data_collector = DataCollecter( + env=env, + controller=controller, + policy=wrapped_policy, + save_traj_dir=log_dir, + save_data=variant.get("save_data", True), + ) + RobotGUI(robot=data_collector) + + +def get_goal_im(variant, run_id, exp_id): + # Get Directory # + dir_path = os.path.dirname(os.path.realpath(__file__)) + + # Prepare Log Directory # + variant["exp_name"] = os.path.join(variant["exp_name"], "run{0}/id{1}/".format(run_id, exp_id)) + log_dir = os.path.join(dir_path, "../../evaluation_logs", variant["exp_name"]) + + # Set Random Seeds # + torch.manual_seed(variant["seed"]) + np.random.seed(variant["seed"]) + + # Set Compute Mode # + use_gpu = variant.get("use_gpu", False) + torch.device("cuda:0" if use_gpu else "cpu") + + ckpt_path = variant["ckpt_path"] + + device = TorchUtils.get_torch_device(try_to_use_cuda=True) + ckpt_dict = FileUtils.maybe_dict_from_checkpoint(ckpt_path=ckpt_path) + config = json.loads(ckpt_dict["config"]) + + ### infer image size ### + imsize = max(ckpt_dict["shape_metadata"]["all_shapes"]["camera/image/hand_camera_left_image"]) + + ckpt_dict["config"] = json.dumps(config) + policy, _ = FileUtils.policy_from_checkpoint(ckpt_dict=ckpt_dict, device=device, verbose=True) + + # determine the action space (relative or absolute) + action_keys = config["train"]["action_keys"] + if "action/rel_pos" in action_keys: + action_space = "cartesian_velocity" + for k in action_keys: + assert not k.startswith("action/abs_") + elif "action/abs_pos" in action_keys: + action_space = "cartesian_position" + for k in action_keys: + assert not k.startswith("action/rel_") + else: + raise ValueError + + # determine the action space for the gripper + if "action/gripper_velocity" in action_keys: + gripper_action_space = "velocity" + elif "action/gripper_position" in action_keys: + gripper_action_space = "position" + else: + raise ValueError + + # Prepare Policy Wrapper # + data_processing_kwargs = dict( + timestep_filtering_kwargs=dict( + action_space=action_space, + gripper_action_space=gripper_action_space, + robot_state_keys=["cartesian_position", "gripper_position", "joint_positions"], + # camera_extrinsics=[], + ), + image_transform_kwargs=dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=False, + ), + ) + timestep_filtering_kwargs = data_processing_kwargs.get("timestep_filtering_kwargs", {}) + image_transform_kwargs = data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_data_processing_kwargs = {} + policy_timestep_filtering_kwargs = policy_data_processing_kwargs.get("timestep_filtering_kwargs", {}) + policy_image_transform_kwargs = policy_data_processing_kwargs.get("image_transform_kwargs", {}) + + policy_timestep_filtering_kwargs.update(timestep_filtering_kwargs) + policy_image_transform_kwargs.update(image_transform_kwargs) + + wrapped_policy = PolicyWrapperRobomimic( + policy=policy, + timestep_filtering_kwargs=policy_timestep_filtering_kwargs, + image_transform_kwargs=policy_image_transform_kwargs, + frame_stack=config["train"]["frame_stack"], + eval_mode=True, + ) + + camera_kwargs = dict( + hand_camera=dict(image=True, concatenate_images=False, resolution=(imsize, imsize), resize_func="cv2"), + varied_camera=dict(image=True, concatenate_images=False, resolution=(imsize, imsize), resize_func="cv2"), + ) + + policy_camera_kwargs = {} + policy_camera_kwargs.update(camera_kwargs) + + env = RobotEnv( + action_space=policy_timestep_filtering_kwargs["action_space"], + gripper_action_space=policy_timestep_filtering_kwargs["gripper_action_space"], + camera_kwargs=policy_camera_kwargs, + do_reset=False + ) + + ims = env.read_cameras()[0]["image"] + if not os.path.exists('eval_params'): + os.makedirs('eval_params') + for k in ims.keys(): + image = ims[k] + cv2.imwrite(f'eval_params/{k}.png', image[:, :, :3]) + return ims diff --git a/droid/evaluation/policy_wrapper.py b/droid/evaluation/policy_wrapper.py new file mode 100644 index 0000000..b63c04f --- /dev/null +++ b/droid/evaluation/policy_wrapper.py @@ -0,0 +1,205 @@ +import numpy as np +import torch +from collections import deque + +from droid.data_processing.timestep_processing import TimestepProcesser +import robomimic.utils.torch_utils as TorchUtils +import robomimic.utils.tensor_utils as TensorUtils + + +def converter_helper(data, batchify=True): + if torch.is_tensor(data): + pass + elif isinstance(data, np.ndarray): + data = torch.from_numpy(data) + else: + raise ValueError + + if batchify: + data = data.unsqueeze(0) + return data + + +def np_dict_to_torch_dict(np_dict, batchify=True): + torch_dict = {} + + for key in np_dict: + curr_data = np_dict[key] + if isinstance(curr_data, dict): + torch_dict[key] = np_dict_to_torch_dict(curr_data) + elif isinstance(curr_data, np.ndarray) or torch.is_tensor(curr_data): + torch_dict[key] = converter_helper(curr_data, batchify=batchify) + elif isinstance(curr_data, list): + torch_dict[key] = [converter_helper(d, batchify=batchify) for d in curr_data] + else: + raise ValueError + + return torch_dict + + +class PolicyWrapper: + def __init__(self, policy, timestep_filtering_kwargs, image_transform_kwargs, eval_mode=True): + self.policy = policy + + if eval_mode: + self.policy.eval() + else: + self.policy.train() + + self.timestep_processor = TimestepProcesser( + ignore_action=True, **timestep_filtering_kwargs, image_transform_kwargs=image_transform_kwargs + ) + + def forward(self, observation): + timestep = {"observation": observation} + processed_timestep = self.timestep_processor.forward(timestep) + torch_timestep = np_dict_to_torch_dict(processed_timestep) + action = self.policy(torch_timestep)[0] + np_action = action.detach().numpy() + + # a_star = np.cumsum(processed_timestep['observation']['state']) / 7 + # print('Policy Action: ', np_action) + # print('Expert Action: ', a_star) + # print('Error: ', np.abs(a_star - np_action).mean()) + + # import pdb; pdb.set_trace() + return np_action + + +class PolicyWrapperRobomimic: + def __init__(self, policy, timestep_filtering_kwargs, image_transform_kwargs, frame_stack, eval_mode=True): + self.policy = policy + + assert eval_mode is True + + self.fs_wrapper = FrameStackWrapper(num_frames=frame_stack) + self.fs_wrapper.reset() + self.policy.start_episode() + + self.timestep_processor = TimestepProcesser( + ignore_action=True, **timestep_filtering_kwargs, image_transform_kwargs=image_transform_kwargs + ) + + def convert_raw_extrinsics_to_Twc(self, raw_data): + """ + helper function that convert raw extrinsics (6d pose) to transformation matrix (Twc) + """ + raw_data = torch.from_numpy(np.array(raw_data)) + pos = raw_data[0:3] + rot_mat = TorchUtils.euler_angles_to_matrix(raw_data[3:6], convention="XYZ") + extrinsics = np.zeros((4, 4)) + extrinsics[:3,:3] = TensorUtils.to_numpy(rot_mat) + extrinsics[:3,3] = TensorUtils.to_numpy(pos) + extrinsics[3,3] = 1.0 + # invert the matrix to represent standard definition of extrinsics: from world to cam + extrinsics = np.linalg.inv(extrinsics) + return extrinsics + + def forward(self, observation): + timestep = {"observation": observation} + processed_timestep = self.timestep_processor.forward(timestep) + + extrinsics_dict = processed_timestep["extrinsics_dict"] + intrinsics_dict = processed_timestep["intrinsics_dict"] + # import pdb; pdb.set_trace() + + obs = { + "robot_state/cartesian_position": observation["robot_state"]["cartesian_position"], + "robot_state/gripper_position": [observation["robot_state"]["gripper_position"]], # wrap as array, raw data is single float + "camera/image/hand_camera_left_image": processed_timestep["observation"]["camera"]["image"]["hand_camera"][0], + "camera/image/hand_camera_right_image": processed_timestep["observation"]["camera"]["image"]["hand_camera"][1], + "camera/image/varied_camera_1_left_image": processed_timestep["observation"]["camera"]["image"]["varied_camera"][0], + "camera/image/varied_camera_1_right_image": processed_timestep["observation"]["camera"]["image"]["varied_camera"][1], + "camera/image/varied_camera_2_left_image": processed_timestep["observation"]["camera"]["image"]["varied_camera"][2], + "camera/image/varied_camera_2_right_image": processed_timestep["observation"]["camera"]["image"]["varied_camera"][3], + + "camera/extrinsics/hand_camera_left": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["hand_camera"][0]), + "camera/extrinsics/hand_camera_right": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["hand_camera"][2]), + "camera/extrinsics/varied_camera_1_left": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["varied_camera"][0]), + "camera/extrinsics/varied_camera_1_right": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["varied_camera"][1]), + "camera/extrinsics/varied_camera_2_left": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["varied_camera"][2]), + "camera/extrinsics/varied_camera_2_right": self.convert_raw_extrinsics_to_Twc(extrinsics_dict["varied_camera"][3]), + + "camera/intrinsics/hand_camera_left": intrinsics_dict["hand_camera"][0], + "camera/intrinsics/hand_camera_right": intrinsics_dict["hand_camera"][1], + "camera/intrinsics/varied_camera_1_left": intrinsics_dict["varied_camera"][0], + "camera/intrinsics/varied_camera_1_right": intrinsics_dict["varied_camera"][1], + "camera/intrinsics/varied_camera_2_left": intrinsics_dict["varied_camera"][2], + "camera/intrinsics/varied_camera_2_right": intrinsics_dict["varied_camera"][3], + } + + # set item of obs as np.array + for k in obs: + obs[k] = np.array(obs[k]) + + self.fs_wrapper.add_obs(obs) + obs_history = self.fs_wrapper.get_obs_history() + action = self.policy(obs_history) + + return action + + def reset(self): + self.fs_wrapper.reset() + self.policy.start_episode() + + +class FrameStackWrapper: + """ + Wrapper for frame stacking observations during rollouts. The agent + receives a sequence of past observations instead of a single observation + when it calls @env.reset, @env.reset_to, or @env.step in the rollout loop. + """ + def __init__(self, num_frames): + """ + Args: + env (EnvBase instance): The environment to wrap. + num_frames (int): number of past observations (including current observation) + to stack together. Must be greater than 1 (otherwise this wrapper would + be a no-op). + """ + self.num_frames = num_frames + + ### TODO: add action padding option + adding action to obs to include action history in obs ### + + # keep track of last @num_frames observations for each obs key + self.obs_history = None + + def _set_initial_obs_history(self, init_obs): + """ + Helper method to get observation history from the initial observation, by + repeating it. + + Returns: + obs_history (dict): a deque for each observation key, with an extra + leading dimension of 1 for each key (for easy concatenation later) + """ + self.obs_history = {} + for k in init_obs: + self.obs_history[k] = deque( + [init_obs[k][None] for _ in range(self.num_frames)], + maxlen=self.num_frames, + ) + + def reset(self): + self.obs_history = None + + def get_obs_history(self): + """ + Helper method to convert internal variable @self.obs_history to a + stacked observation where each key is a numpy array with leading dimension + @self.num_frames. + """ + # concatenate all frames per key so we return a numpy array per key + if self.num_frames == 1: + return { k : np.concatenate(self.obs_history[k], axis=0)[0] for k in self.obs_history } + else: + return { k : np.concatenate(self.obs_history[k], axis=0) for k in self.obs_history } + + def add_obs(self, obs): + if self.obs_history is None: + self._set_initial_obs_history(obs) + + # update frame history + for k in obs: + # make sure to have leading dim of 1 for easy concatenation + self.obs_history[k].append(obs[k][None]) diff --git a/droid/evaluation/rt1_wrapper.py b/droid/evaluation/rt1_wrapper.py new file mode 100644 index 0000000..b68ec35 --- /dev/null +++ b/droid/evaluation/rt1_wrapper.py @@ -0,0 +1,102 @@ +from pathlib import Path +from PIL import Image +import tensorflow as tf +import numpy as np +from tf_agents.policies import py_tf_eager_policy +import tf_agents +from tf_agents.trajectories import time_step as ts +import tensorflow_hub as hub + +from droid.user_interface.eval_gui import GoalCondPolicy, DEFAULT_LANG_TEXT + + +def resize(image): + image = tf.image.resize_with_pad(image, target_width=320, target_height=256) + image = tf.cast(image, tf.uint8) + return image + + +class RT1Policy(GoalCondPolicy): + def __init__(self, checkpoint_path, goal_images=None, language_instruction=None, camera_obs_keys=[]): + """goal_images is a tuple of two goal images.""" + self._policy = py_tf_eager_policy.SavedModelPyTFEagerPolicy( + model_path=checkpoint_path, load_specs_from_pbtxt=True, use_tf_function=True + ) + self.obs = self._run_dummy_inference() + self._goal_images = goal_images + self._policy_state = self._policy.get_initial_state(batch_size=1) + self._camera_obs_keys = camera_obs_keys + if language_instruction is not None: + self._language_embedding = self.compute_embedding(language_instruction) + else: + self._language_embedding = None + + def _run_dummy_inference(self): + observation = tf_agents.specs.zero_spec_nest(tf_agents.specs.from_spec(self._policy.time_step_spec.observation)) + tfa_time_step = ts.transition(observation, reward=np.zeros((), dtype=np.float32)) + policy_state = self._policy.get_initial_state(batch_size=1) + action = self._policy.action(tfa_time_step, policy_state) + return observation + + def _normalize_task_name(self, task_name): + + replaced = ( + task_name.replace("_", " ") + .replace("1f", " ") + .replace("4f", " ") + .replace("-", " ") + .replace("50", " ") + .replace("55", " ") + .replace("56", " ") + ) + return replaced.lstrip(" ").rstrip(" ") + + def compute_embedding(self, task_name): + print("Computing embedding ...") + # Load language model and embed the task string + embed = hub.load("https://tfhub.dev/google/universal-sentence-encoder-large/5") + print("Finished loading language model.") + return embed([self._normalize_task_name(task_name)])[0] + + def forward(self, observation): + # construct observation + if not self._goal_images: + # throw exception saying no goal images were provided + raise Exception("No goal images were provided") + + for i, key in enumerate(self._camera_obs_keys): + if i == 0: + self.obs["image"] = resize(tf.convert_to_tensor(observation["image"][key][:, :, :3].copy()[..., ::-1])) + self.obs["goal_image"] = self._goal_images[0] + elif i >= 1: + self.obs[f"image{i}"] = resize( + tf.convert_to_tensor(observation["image"][key][:, :, :3].copy()[..., ::-1]) + ) + self.obs[f"goal_image{i}"] = self._goal_images[1] + + if self._language_embedding is not None: + self.obs["natural_language_embedding"] = self._language_embedding + + tfa_time_step = ts.transition(self.obs, reward=np.zeros((), dtype=np.float32)) + + policy_step = self._policy.action(tfa_time_step, self._policy_state) + self._policy_state = policy_step.state + action = np.concatenate( + [ + policy_step.action["world_vector"], + policy_step.action["rotation_delta"], + policy_step.action["gripper_closedness_action"], + ] + ) + print(f"returning action: {action}") + return action + + def load_goal_imgs(self, img_dict): + goal_images = [] + for key in self._camera_obs_keys: + goal_images.append(resize(tf.convert_to_tensor(img_dict[key]))) + self._goal_images = goal_images + + def load_lang(self, text): + if text != DEFAULT_LANG_TEXT: + self._language_embedding = self.compute_embedding(text) diff --git a/droid/fairo b/droid/fairo new file mode 160000 index 0000000..0a01a7f --- /dev/null +++ b/droid/fairo @@ -0,0 +1 @@ +Subproject commit 0a01a7fa7a7c65b2f9a3aebf5e79040940daf9d2 diff --git a/droid/franka/__init__.py b/droid/franka/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/franka/launch_gripper.sh b/droid/franka/launch_gripper.sh new file mode 100755 index 0000000..414dfd5 --- /dev/null +++ b/droid/franka/launch_gripper.sh @@ -0,0 +1,5 @@ +source ~/anaconda3/etc/profile.d/conda.sh +conda activate polymetis-local +pkill -9 gripper +chmod a+rw /dev/ttyUSB0 +launch_gripper.py gripper=robotiq_2f gripper.comport=/dev/ttyUSB0 diff --git a/droid/franka/launch_robot.sh b/droid/franka/launch_robot.sh new file mode 100755 index 0000000..6bcff9e --- /dev/null +++ b/droid/franka/launch_robot.sh @@ -0,0 +1,5 @@ +source ~/anaconda3/etc/profile.d/conda.sh +conda activate polymetis-local +pkill -9 run_server +pkill -9 franka_panda_cl +launch_robot.py robot_client=franka_hardware diff --git a/droid/franka/robot.py b/droid/franka/robot.py new file mode 100644 index 0000000..27fe316 --- /dev/null +++ b/droid/franka/robot.py @@ -0,0 +1,234 @@ +# ROBOT SPECIFIC IMPORTS +import os +import time + +import grpc +import numpy as np +import torch +from polymetis import GripperInterface, RobotInterface + +from droid.misc.parameters import sudo_password +from droid.misc.subprocess_utils import run_terminal_command, run_threaded_command + +# UTILITY SPECIFIC IMPORTS +from droid.misc.transformations import add_poses, euler_to_quat, pose_diff, quat_to_euler +from droid.robot_ik.robot_ik_solver import RobotIKSolver + + +class FrankaRobot: + def launch_controller(self): + try: + self.kill_controller() + except: + pass + + dir_path = os.path.dirname(os.path.realpath(__file__)) + self._robot_process = run_terminal_command( + "echo " + sudo_password + " | sudo -S " + "bash " + dir_path + "/launch_robot.sh" + ) + self._gripper_process = run_terminal_command( + "echo " + sudo_password + " | sudo -S " + "bash " + dir_path + "/launch_gripper.sh" + ) + self._server_launched = True + time.sleep(5) + + def launch_robot(self): + self._robot = RobotInterface(ip_address="localhost") + self._gripper = GripperInterface(ip_address="localhost") + self._max_gripper_width = self._gripper.metadata.max_width + self._ik_solver = RobotIKSolver() + + def kill_controller(self): + self._robot_process.kill() + self._gripper_process.kill() + + def update_command(self, command, action_space="cartesian_velocity", gripper_action_space=None, blocking=False): + action_dict = self.create_action_dict(command, action_space=action_space, gripper_action_space=gripper_action_space) + + self.update_joints(action_dict["joint_position"], velocity=False, blocking=blocking) + self.update_gripper(action_dict["gripper_position"], velocity=False, blocking=blocking) + + return action_dict + + def update_pose(self, command, velocity=False, blocking=False): + if blocking: + if velocity: + curr_pose = self.get_ee_pose() + cartesian_delta = self._ik_solver.cartesian_velocity_to_delta(command) + command = add_poses(cartesian_delta, curr_pose) + + pos = torch.Tensor(command[:3]) + quat = torch.Tensor(euler_to_quat(command[3:6])) + curr_joints = self._robot.get_joint_positions() + desired_joints = self._robot.solve_inverse_kinematics(pos, quat, curr_joints) + self.update_joints(desired_joints, velocity=False, blocking=True) + else: + if not velocity: + curr_pose = self.get_ee_pose() + cartesian_delta = pose_diff(command, curr_pose) + command = self._ik_solver.cartesian_delta_to_velocity(cartesian_delta) + + robot_state = self.get_robot_state()[0] + joint_velocity = self._ik_solver.cartesian_velocity_to_joint_velocity(command, robot_state=robot_state) + + self.update_joints(joint_velocity, velocity=True, blocking=False) + + def update_joints(self, command, velocity=False, blocking=False, cartesian_noise=None): + if cartesian_noise is not None: + command = self.add_noise_to_joints(command, cartesian_noise) + command = torch.Tensor(command) + + if velocity: + joint_delta = self._ik_solver.joint_velocity_to_delta(command) + command = joint_delta + self._robot.get_joint_positions() + + def helper_non_blocking(): + if not self._robot.is_running_policy(): + self._robot.start_cartesian_impedance() + try: + self._robot.update_desired_joint_positions(command) + except grpc.RpcError: + pass + + if blocking: + if self._robot.is_running_policy(): + self._robot.terminate_current_policy() + try: + time_to_go = self.adaptive_time_to_go(command) + self._robot.move_to_joint_positions(command, time_to_go=time_to_go) + except grpc.RpcError: + pass + + self._robot.start_cartesian_impedance() + else: + run_threaded_command(helper_non_blocking) + + def update_gripper(self, command, velocity=True, blocking=False): + if velocity: + gripper_delta = self._ik_solver.gripper_velocity_to_delta(command) + command = gripper_delta + self.get_gripper_position() + + command = float(np.clip(command, 0, 1)) + self._gripper.goto(width=self._max_gripper_width * (1 - command), speed=0.05, force=0.1, blocking=blocking) + + def add_noise_to_joints(self, original_joints, cartesian_noise): + original_joints = torch.Tensor(original_joints) + + pos, quat = self._robot.robot_model.forward_kinematics(original_joints) + curr_pose = pos.tolist() + quat_to_euler(quat).tolist() + new_pose = add_poses(cartesian_noise, curr_pose) + + new_pos = torch.Tensor(new_pose[:3]) + new_quat = torch.Tensor(euler_to_quat(new_pose[3:])) + + noisy_joints, success = self._robot.solve_inverse_kinematics(new_pos, new_quat, original_joints) + + if success: + desired_joints = noisy_joints + else: + desired_joints = original_joints + + return desired_joints.tolist() + + def get_joint_positions(self): + return self._robot.get_joint_positions().tolist() + + def get_joint_velocities(self): + return self._robot.get_joint_velocities().tolist() + + def get_gripper_position(self): + return 1 - (self._gripper.get_state().width / self._max_gripper_width) + + def get_ee_pose(self): + pos, quat = self._robot.get_ee_pose() + angle = quat_to_euler(quat.numpy()) + return np.concatenate([pos, angle]).tolist() + + def get_robot_state(self): + robot_state = self._robot.get_robot_state() + gripper_position = self.get_gripper_position() + pos, quat = self._robot.robot_model.forward_kinematics(torch.Tensor(robot_state.joint_positions)) + cartesian_position = pos.tolist() + quat_to_euler(quat.numpy()).tolist() + + state_dict = { + "cartesian_position": cartesian_position, + "gripper_position": gripper_position, + "joint_positions": list(robot_state.joint_positions), + "joint_velocities": list(robot_state.joint_velocities), + "joint_torques_computed": list(robot_state.joint_torques_computed), + "prev_joint_torques_computed": list(robot_state.prev_joint_torques_computed), + "prev_joint_torques_computed_safened": list(robot_state.prev_joint_torques_computed_safened), + "motor_torques_measured": list(robot_state.motor_torques_measured), + "prev_controller_latency_ms": robot_state.prev_controller_latency_ms, + "prev_command_successful": robot_state.prev_command_successful, + } + + timestamp_dict = { + "robot_timestamp_seconds": robot_state.timestamp.seconds, + "robot_timestamp_nanos": robot_state.timestamp.nanos, + } + + return state_dict, timestamp_dict + + def adaptive_time_to_go(self, desired_joint_position, t_min=0, t_max=4): + curr_joint_position = self._robot.get_joint_positions() + displacement = desired_joint_position - curr_joint_position + time_to_go = self._robot._adaptive_time_to_go(displacement) + clamped_time_to_go = min(t_max, max(time_to_go, t_min)) + return clamped_time_to_go + + def create_action_dict(self, action, action_space, gripper_action_space=None, robot_state=None): + assert action_space in ["cartesian_position", "joint_position", "cartesian_velocity", "joint_velocity"] + if robot_state is None: + robot_state = self.get_robot_state()[0] + action_dict = {"robot_state": robot_state} + velocity = "velocity" in action_space + + if gripper_action_space is None: + gripper_action_space = "velocity" if velocity else "position" + assert gripper_action_space in ["velocity", "policy"] + + + if gripper_action_space == "velocity": + action_dict["gripper_velocity"] = action[-1] + gripper_delta = self._ik_solver.gripper_velocity_to_delta(action[-1]) + gripper_position = robot_state["gripper_position"] + gripper_delta + action_dict["gripper_position"] = float(np.clip(gripper_position, 0, 1)) + else: + action_dict["gripper_position"] = float(np.clip(action[-1], 0, 1)) + gripper_delta = action_dict["gripper_position"] - robot_state["gripper_position"] + gripper_velocity = self._ik_solver.gripper_delta_to_velocity(gripper_delta) + action_dict["gripper_delta"] = gripper_velocity + + if "cartesian" in action_space: + if velocity: + action_dict["cartesian_velocity"] = action[:-1] + cartesian_delta = self._ik_solver.cartesian_velocity_to_delta(action[:-1]) + action_dict["cartesian_position"] = add_poses( + cartesian_delta, robot_state["cartesian_position"] + ).tolist() + else: + action_dict["cartesian_position"] = action[:-1] + cartesian_delta = pose_diff(action[:-1], robot_state["cartesian_position"]) + cartesian_velocity = self._ik_solver.cartesian_delta_to_velocity(cartesian_delta) + action_dict["cartesian_velocity"] = cartesian_velocity.tolist() + + action_dict["joint_velocity"] = self._ik_solver.cartesian_velocity_to_joint_velocity( + action_dict["cartesian_velocity"], robot_state=robot_state + ).tolist() + joint_delta = self._ik_solver.joint_velocity_to_delta(action_dict["joint_velocity"]) + action_dict["joint_position"] = (joint_delta + np.array(robot_state["joint_positions"])).tolist() + + if "joint" in action_space: + # NOTE: Joint to Cartesian has undefined dynamics due to IK + if velocity: + action_dict["joint_velocity"] = action[:-1] + joint_delta = self._ik_solver.joint_velocity_to_delta(action[:-1]) + action_dict["joint_position"] = (joint_delta + np.array(robot_state["joint_positions"])).tolist() + else: + action_dict["joint_position"] = action[:-1] + joint_delta = np.array(action[:-1]) - np.array(robot_state["joint_positions"]) + joint_velocity = self._ik_solver.joint_delta_to_velocity(joint_delta) + action_dict["joint_velocity"] = joint_velocity.tolist() + + return action_dict diff --git a/droid/misc/parameters.py b/droid/misc/parameters.py new file mode 100644 index 0000000..6d0e02f --- /dev/null +++ b/droid/misc/parameters.py @@ -0,0 +1,29 @@ +import os +from cv2 import aruco + +# Robot Params # +nuc_ip = "" +robot_ip = "" +laptop_ip = "" +sudo_password = "" +robot_type = "" # 'panda' or 'fr3' +robot_serial_number = "" + +# Camera ID's # +hand_camera_id = "" +varied_camera_1_id = "" +varied_camera_2_id = "" + +# Charuco Board Params # +CHARUCOBOARD_ROWCOUNT = 9 +CHARUCOBOARD_COLCOUNT = 14 +CHARUCOBOARD_CHECKER_SIZE = 0.020 +CHARUCOBOARD_MARKER_SIZE = 0.016 +ARUCO_DICT = aruco.Dictionary_get(aruco.DICT_5X5_100) + +# Ubuntu Pro Token (RT PATCH) # +ubuntu_pro_token = "" + +# Code Version [DONT CHANGE] # +droid_version = "1.3" + diff --git a/droid/misc/pointcloud_utils.py b/droid/misc/pointcloud_utils.py new file mode 100644 index 0000000..6478bb9 --- /dev/null +++ b/droid/misc/pointcloud_utils.py @@ -0,0 +1,155 @@ +import cv2 +import numpy as np +import open3d as o3d +from scipy.spatial.transform import Rotation as R + +# VOXEL_SIZE = 0.02 +VOXEL_SIZE = 0.001 +MAX_DISTANCE_COARSE = VOXEL_SIZE * 15 +MAX_DISTANCE_FINE = VOXEL_SIZE * 1.5 + + +def numpy_to_o3d(numpy_pcd): + xyz = numpy_pcd[:, :, :3].reshape(-1, 3) + + rgba_size = (*numpy_pcd.shape[:2], 4) + rgba_float = np.ascontiguousarray(numpy_pcd[:, :, 3]) + rgba = rgba_float.view(np.uint8).reshape(rgba_size) + rgb = rgba[:, :, :3].reshape(-1, 3) + + o3d_pcd = o3d.geometry.PointCloud() + o3d_pcd.points = o3d.utility.Vector3dVector(xyz) + o3d_pcd.colors = o3d.utility.Vector3dVector(rgb) + o3d_pcd = o3d_pcd.voxel_down_sample(voxel_size=VOXEL_SIZE) + return o3d_pcd + + +def o3d_to_numpy(o3d_pcd): + points = np.asarray(o3d_pcd.points) + colors = np.asarray(o3d_pcd.colors) + numpy_pcd = np.concatenate([points, colors], axis=1) + return numpy_pcd + + +def rgbd_to_pcd(color, depth, camera_matrix): + color = cv2.cvtColor(color, cv2.COLOR_BGRA2RGB) + o3d_color = o3d.geometry.Image(color) + o3d_depth = o3d.geometry.Image(depth) + rgbd = o3d.geometry.RGBDImage.create_from_color_and_depth(o3d_color, o3d_depth, convert_rgb_to_intensity=False) + intrinsics = o3d.camera.PinholeCameraIntrinsic( + width=color.shape[1], + height=color.shape[0], + fx=camera_matrix[0, 0], + cx=camera_matrix[0, 2], + fy=camera_matrix[1, 1], + cy=camera_matrix[1, 2], + ) + + o3d_pcd = o3d.geometry.PointCloud.create_from_rgbd_image(rgbd, intrinsics) + # o3d_pcd = o3d.geometry.PointCloud.create_from_depth_image(o3d_depth, intrinsics) + o3d_pcd = o3d_pcd.voxel_down_sample(voxel_size=VOXEL_SIZE) + o3d_pcd.estimate_normals() + + return o3d_pcd + + +def visualize_pointcloud(pcd): + if type(pcd) == np.ndarray: + pcd = numpy_to_o3d(pcd) + o3d.visualization.draw_geometries([pcd]) + + +def transform_pointcloud(pcd, cam2base): + rotation = R.from_euler("xyz", cam2base[3:]).as_matrix() + translation = cam2base[:3] + + pcd.rotate(rotation) + pcd.translate(translation) + + +def pairwise_registration(source, target): + print("Apply point-to-plane ICP") + icp_coarse = o3d.pipelines.registration.registration_icp( + source, + target, + MAX_DISTANCE_COARSE, + np.identity(4), + o3d.pipelines.registration.TransformationEstimationPointToPlane(), + ) + icp_fine = o3d.pipelines.registration.registration_icp( + source, + target, + MAX_DISTANCE_FINE, + icp_coarse.transformation, + o3d.pipelines.registration.TransformationEstimationPointToPlane(), + ) + transformation_icp = icp_fine.transformation + information_icp = o3d.pipelines.registration.get_information_matrix_from_point_clouds( + source, target, MAX_DISTANCE_FINE, icp_fine.transformation + ) + return transformation_icp, information_icp + + +def full_registration(pcds): + pose_graph = o3d.pipelines.registration.PoseGraph() + odometry = np.identity(4) + pose_graph.nodes.append(o3d.pipelines.registration.PoseGraphNode(odometry)) + n_pcds = len(pcds) + for source_id in range(n_pcds): + for target_id in range(source_id + 1, n_pcds): + transformation_icp, information_icp = pairwise_registration(pcds[source_id], pcds[target_id]) + if target_id == source_id + 1: # odometry case + odometry = np.dot(transformation_icp, odometry) + pose_graph.nodes.append(o3d.pipelines.registration.PoseGraphNode(np.linalg.inv(odometry))) + pose_graph.edges.append( + o3d.pipelines.registration.PoseGraphEdge( + source_id, target_id, transformation_icp, information_icp, uncertain=False + ) + ) + else: # loop closure case + pose_graph.edges.append( + o3d.pipelines.registration.PoseGraphEdge( + source_id, target_id, transformation_icp, information_icp, uncertain=True + ) + ) + return pose_graph + + +def combine_pointclouds(o3d_pcd_dict, cam2base_dict=None, reference_key=None): + # Create O3D Pointcloud Objects + Align Them With Robot Base # + # o3d_pcd_dict = {pcd_id: numpy_to_o3d(pcd) for pcd_id, pcd in pointcloud_dict.items()} + if cam2base_dict is not None: + [transform_pointcloud(o3d_pcd_dict[key], cam2base_dict[key]) for key in cam2base_dict] + pcd_list = [o3d_pcd_dict[key] for key in o3d_pcd_dict] + + # Set Reference Frame For Merged Pointcloud # + if reference_key: + pcd_list.remove(o3d_pcd_dict[reference_key]) + pcd_list.insert(0, o3d_pcd_dict[reference_key]) + + pose_graph = full_registration(pcd_list) + print("Optimizing...") + option = o3d.pipelines.registration.GlobalOptimizationOption( + max_correspondence_distance=MAX_DISTANCE_FINE, edge_prune_threshold=0.25, reference_node=0 + ) + + o3d.pipelines.registration.global_optimization( + pose_graph, + o3d.pipelines.registration.GlobalOptimizationLevenbergMarquardt(), + o3d.pipelines.registration.GlobalOptimizationConvergenceCriteria(), + option, + ) + + print("Downsizing...") + pcd_combined = o3d.geometry.PointCloud() + for point_id in range(len(pcd_list)): + pcd_list[point_id].transform(pose_graph.nodes[point_id].pose) + pcd_combined += pcd_list[point_id] + pcd_combined_down = pcd_combined.voxel_down_sample(voxel_size=VOXEL_SIZE) + + print("Visualizing...") + visualize_pointcloud(pcd_combined_down) + + # numpy_pcd = o3d_to_numpy(pcd_combined_down) + + return pcd_combined_down diff --git a/droid/misc/server_interface.py b/droid/misc/server_interface.py new file mode 100644 index 0000000..1bdfb1c --- /dev/null +++ b/droid/misc/server_interface.py @@ -0,0 +1,77 @@ +import time + +import numpy as np +import zerorpc + + +def attempt_n_times(function_list, max_attempts, sleep_time=0.1): + if type(function_list) is not list: + function_list = list(function_list) + + for i in range(max_attempts): + try: + [f() for f in function_list] + return + except zerorpc.exceptions.RemoteError as err: + last_attempt = i == (max_attempts - 1) + if last_attempt: + raise err + else: + time.sleep(sleep_time) + + +class ServerInterface: + def __init__(self, ip_address="127.0.0.1", launch=True): + self.ip_address = ip_address + self.establish_connection() + + if launch: + func_list = [self.launch_controller, self.launch_robot] + attempt_n_times(func_list, max_attempts=2) + + def establish_connection(self): + self.server = zerorpc.Client(heartbeat=20) + self.server.connect("tcp://" + self.ip_address + ":4242") + + def launch_controller(self): + self.server.launch_controller() + + def launch_robot(self): + self.server.launch_robot() + + def kill_controller(self): + self.server.kill_controller() + + def update_command(self, command, action_space="cartesian_velocity", gripper_action_space="velocity", blocking=False): + action_dict = self.server.update_command(command.tolist(), action_space, blocking) + return action_dict + + def create_action_dict(self, command, action_space="cartesian_velocity"): + action_dict = self.server.create_action_dict(command.tolist(), action_space) + return action_dict + + def update_pose(self, command, velocity=True, blocking=False): + self.server.update_pose(command.tolist(), velocity, blocking) + + def update_joints(self, command, velocity=True, blocking=False, cartesian_noise=None): + if cartesian_noise is not None: + cartesian_noise = cartesian_noise.tolist() + self.server.update_joints(command.tolist(), velocity, blocking, cartesian_noise) + + def update_gripper(self, command, velocity=True, blocking=False): + self.server.update_gripper(command, velocity, blocking) + + def get_ee_pose(self): + return np.array(self.server.get_ee_pose()) + + def get_joint_positions(self): + return np.array(self.server.get_joint_positions()) + + def get_joint_velocities(self): + return np.array(self.server.get_joint_velocities()) + + def get_gripper_state(self): + return self.server.get_gripper_state() + + def get_robot_state(self): + return self.server.get_robot_state() diff --git a/droid/misc/subprocess_utils.py b/droid/misc/subprocess_utils.py new file mode 100644 index 0000000..9399728 --- /dev/null +++ b/droid/misc/subprocess_utils.py @@ -0,0 +1,25 @@ +import multiprocessing +import subprocess +import threading + + +def run_terminal_command(command): + process = subprocess.Popen( + command, stdout=subprocess.PIPE, stdin=subprocess.PIPE, shell=True, executable="/bin/bash", encoding="utf8" + ) + + return process + + +def run_threaded_command(command, args=(), daemon=True): + thread = threading.Thread(target=command, args=args, daemon=daemon) + thread.start() + + return thread + + +def run_multiprocessed_command(command, args=()): + process = multiprocessing.Process(target=command, args=args) + process.start() + + return process diff --git a/droid/misc/time.py b/droid/misc/time.py new file mode 100644 index 0000000..6cdd10b --- /dev/null +++ b/droid/misc/time.py @@ -0,0 +1,5 @@ +import time + + +def time_ms(): + return time.time_ns() // 1_000_000 diff --git a/droid/misc/transformations.py b/droid/misc/transformations.py new file mode 100644 index 0000000..18d13d2 --- /dev/null +++ b/droid/misc/transformations.py @@ -0,0 +1,81 @@ +import numpy as np +from scipy.spatial.transform import Rotation as R + + +### Conversions ### +def quat_to_euler(quat, degrees=False): + euler = R.from_quat(quat).as_euler("xyz", degrees=degrees) + return euler + + +def euler_to_quat(euler, degrees=False): + return R.from_euler("xyz", euler, degrees=degrees).as_quat() + + +def rmat_to_euler(rot_mat, degrees=False): + euler = R.from_matrix(rot_mat).as_euler("xyz", degrees=degrees) + return euler + + +def euler_to_rmat(euler, degrees=False): + return R.from_euler("xyz", euler, degrees=degrees).as_matrix() + + +def rmat_to_quat(rot_mat, degrees=False): + quat = R.from_matrix(rot_mat).as_quat() + return quat + + +def quat_to_rmat(quat, degrees=False): + return R.from_quat(quat, degrees=degrees).as_matrix() + + +### Subtractions ### +def quat_diff(target, source): + result = R.from_quat(target) * R.from_quat(source).inv() + return result.as_quat() + + +def angle_diff(target, source, degrees=False): + target_rot = R.from_euler("xyz", target, degrees=degrees) + source_rot = R.from_euler("xyz", source, degrees=degrees) + result = target_rot * source_rot.inv() + return result.as_euler("xyz") + + +def pose_diff(target, source, degrees=False): + lin_diff = np.array(target[:3]) - np.array(source[:3]) + rot_diff = angle_diff(target[3:6], source[3:6], degrees=degrees) + result = np.concatenate([lin_diff, rot_diff]) + return result + + +### Additions ### +def add_quats(delta, source): + result = R.from_quat(delta) * R.from_quat(source) + return result.as_quat() + + +def add_angles(delta, source, degrees=False): + delta_rot = R.from_euler("xyz", delta, degrees=degrees) + source_rot = R.from_euler("xyz", source, degrees=degrees) + new_rot = delta_rot * source_rot + return new_rot.as_euler("xyz", degrees=degrees) + + +def add_poses(delta, source, degrees=False): + lin_sum = np.array(delta[:3]) + np.array(source[:3]) + rot_sum = add_angles(delta[3:6], source[3:6], degrees=degrees) + result = np.concatenate([lin_sum, rot_sum]) + return result + + +### MISC ### +def change_pose_frame(pose, frame, degrees=False): + R_frame = euler_to_rmat(frame[3:6], degrees=degrees) + R_pose = euler_to_rmat(pose[3:6], degrees=degrees) + t_frame, t_pose = frame[:3], pose[:3] + euler_new = rmat_to_euler(R_frame @ R_pose, degrees=degrees) + t_new = R_frame @ t_pose + t_frame + result = np.concatenate([t_new, euler_new]) + return result diff --git a/droid/misc/version_control/1_0.json b/droid/misc/version_control/1_0.json new file mode 100644 index 0000000..0753edb --- /dev/null +++ b/droid/misc/version_control/1_0.json @@ -0,0 +1,18 @@ +{"DROID Version": "1.0", +"oculus_params": { + "saving_target_info": false, + "pos_action_gain": 3, + "rot_action_gain": 3 + }, +"polymetis_params": { + "default_Kx": [750, 750, 750, 15, 15, 15] + }, +"ik_params": { + "relative_max_joint_delta": [0.2075, 0.2075, 0.2075, 0.2075, 0.251, 0.251, 0.251], + "max_lin_delta": 0.125, + "max_rot_delta": 0.15 + }, +"camera_params": { + "hand_camera_resolution": "VGA" + } +} diff --git a/droid/misc/version_control/1_1.json b/droid/misc/version_control/1_1.json new file mode 100644 index 0000000..0fe6da8 --- /dev/null +++ b/droid/misc/version_control/1_1.json @@ -0,0 +1,18 @@ +{"DROID Version": "1.1", +"oculus_params": { + "saving_target_info": true, + "pos_action_gain": 5, + "rot_action_gain": 2 +}, +"polymetis_params": { + "default_Kx": [400, 400, 400, 15, 15, 15] +}, +"ik_params": { + "relative_max_joint_delta": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2], + "max_lin_delta": 0.075, + "max_rot_delta": 0.15 +}, +"camera_params": { + "hand_camera_resolution": "HD720" + } +} diff --git a/droid/misc/version_control/loader.py b/droid/misc/version_control/loader.py new file mode 100644 index 0000000..68744c9 --- /dev/null +++ b/droid/misc/version_control/loader.py @@ -0,0 +1,16 @@ +import json +import os + +# Prepare Filepath # +dir_path = os.path.dirname(os.path.realpath(__file__)) + + +def load_version_info(version_number): + version_number = version_number.replace(".", "_") + version_string = "{0}.json".format(version_number) + version_info_filepath = os.path.join(dir_path, version_string) + if not os.path.isfile(version_info_filepath): + return {} + with open(version_info_filepath, "r") as jsonFile: + version_info = json.load(jsonFile) + return version_info diff --git a/droid/oculus_reader b/droid/oculus_reader new file mode 160000 index 0000000..de73f3d --- /dev/null +++ b/droid/oculus_reader @@ -0,0 +1 @@ +Subproject commit de73f3d259b3c41c4564f70a64682e24aa3ac31c diff --git a/droid/plotting/__init__.py b/droid/plotting/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/plotting/analysis_func.py b/droid/plotting/analysis_func.py new file mode 100644 index 0000000..7c24109 --- /dev/null +++ b/droid/plotting/analysis_func.py @@ -0,0 +1,74 @@ +import os +from collections import defaultdict + +import h5py +import numpy as np + +from droid.plotting.misc import * +from droid.plotting.text import * + +# Create Empty Objects # +user_progress_dict = defaultdict(lambda: 0) +weekly_progress_dict = defaultdict(lambda: 0) +traj_progress_dict = defaultdict(lambda: np.array([0 for i in range(NUM_DAYS)])) +task_distribution_dict = defaultdict(lambda: 0) +scene_progress_dict = defaultdict(lambda: np.array([0 for i in range(NUM_DAYS)])) +all_camera_poses = [] +all_traj_lengths = [] +all_traj_ids = set() +all_scene_ids = set() + + +# Define Analysis Function # +def analysis_func(hdf5_filepath, hdf5_file=None): + if hdf5_file is None: + hdf5_file = h5py.File(hdf5_filepath, "r") + + traj_horizon = hdf5_file["action"]["joint_position"].shape[0] + file_timestamp = os.path.getmtime(hdf5_filepath) + day_index = get_bucket_index(file_timestamp) + orig_user = hdf5_file.attrs["user"] + user = clean_user.get(orig_user, orig_user) + scene_id = hdf5_file.attrs.get("scene_id", 0) + is_new_scene = hdf5_file.attrs.get("scene_id", 0) not in all_scene_ids + traj_id = user + hdf5_file.attrs["time"] + is_old_traj = traj_id in all_traj_ids + curr_task = hdf5_file.attrs["current_task"] + camera_poses = grab_3rd_person_extrinsics( + hdf5_file["observation"]["camera_extrinsics"], hdf5_file["observation"]["camera_type"] + ) + + if is_old_traj: + return + else: + all_traj_ids.add(traj_id) + if user not in user_to_lab: + print("Relevant Filepath: " + hdf5_filepath) + print("WARNING: {0} not assigned to lab! To fix this permenantly, update the user dictionary.".format(user)) + user_to_lab[user] = input("Enter the lab for {0}:\n".format(user)) + + # Update Total Progress # + lab = user_to_lab.get(user, user) + traj_progress_dict[lab][day_index] += 1 + + # Update User Progress # + user_progress_dict[user] += traj_horizon + + # Update Scene Progress # + if is_new_scene: + scene_progress_dict[lab][day_index] += 1 + all_scene_ids.add(scene_id) + + # Update Weekly Progress # + if (file_timestamp >= WEEK_START) and (file_timestamp <= WEEK_END): + weekly_progress_dict[lab] += traj_horizon + + # Update Task Distribution # + task_label = task_mapper(curr_task) + task_distribution_dict[task_label] += 1 + + # Update Trajectory Length Distribution # + all_traj_lengths.append(traj_horizon) + + # Update Camera Distribution # + all_camera_poses.extend(camera_poses) diff --git a/droid/plotting/misc.py b/droid/plotting/misc.py new file mode 100644 index 0000000..b8fc879 --- /dev/null +++ b/droid/plotting/misc.py @@ -0,0 +1,118 @@ +import datetime +import os +import time + +import h5py +import numpy as np +from dateutil.relativedelta import relativedelta +from scipy import stats + +from droid.plotting.misc import * +from droid.plotting.text import * + +# Define Data Crawler # +num_demos = 0 + + +def data_crawler(dirname, func_list=None, ignore_failure=True): + global num_demos + subfolders = [f.path for f in os.scandir(dirname) if f.is_dir()] + traj_files = [f.path for f in os.scandir(dirname) if (f.is_file() and "trajectory.h5" in f.path)] + h5_file_exists = len(traj_files) == 1 + + # Obey Success / Failure Requirements # + if ignore_failure and "failure" in dirname: + return + + # Process Data # + if h5_file_exists: + num_demos += 1 + print("Num Demos:", num_demos) + + for func in func_list: + hdf5_file = h5py.File(traj_files[0], "r") + func(traj_files[0], hdf5_file=hdf5_file) + + for child_dirname in subfolders: + data_crawler(child_dirname, func_list=func_list, ignore_failure=ignore_failure) + + +def task_mapper(task_description): + for curr_task in all_tasks: + if curr_task in task_description: + return curr_task + return "Arbitrary user defined task" + + +def grab_3rd_person_extrinsics(camera_extrinsics, camera_type_dict): + varied_extrinsics = [] + for cam_id in camera_type_dict: + # Ignore Hand Camera # + if camera_type_dict[cam_id][0] == 0: + continue + + # Gather Relevant Poses # + for full_id in camera_extrinsics: + if cam_id in full_id: + cam_pose = camera_extrinsics[full_id][0] + varied_extrinsics.append(cam_pose) + + return varied_extrinsics + + +def estimate_pos_angle_density(pose_list): + cleaned_poses = {tuple(pose) for pose in pose_list} + stacked_values = np.vstack(list(cleaned_poses)) + pos_values = stacked_values[:, :3].T + ang_values = stacked_values[:, 3:].T + pos_density_func = stats.gaussian_kde(pos_values) + ang_density_func = stats.gaussian_kde(ang_values) + pos_density = pos_density_func(pos_values) + ang_density = ang_density_func(ang_values) + return pos_values, pos_density, ang_values, ang_density + + +# Useful Values # +START_TIME = 1677500000 +min_dt = datetime.datetime.min.time() + +# Discretize Time # +start_date = datetime.datetime.fromtimestamp(START_TIME) +end_date = datetime.datetime.fromtimestamp(time.time()) +NUM_DAYS = (end_date - start_date).days + 1 +DAY_TIMESTAMPS = [ + datetime.datetime.timestamp( + datetime.datetime.combine(start_date + datetime.timedelta(days=i), datetime.datetime.min.time()) + ) + for i in range(NUM_DAYS) +] + + +def get_bucket_index(timestamp): + date = datetime.datetime.fromtimestamp(timestamp) + index = (date - start_date).days + return index + + +# Get Week Bracket # +today = datetime.date.today() +week_start_date = today - datetime.timedelta(days=today.weekday(), weeks=1) +week_end_date = week_start_date + datetime.timedelta(weeks=1) +week_start_dt = datetime.datetime.combine(week_start_date, min_dt) +week_end_dt = datetime.datetime.combine(week_end_date, min_dt) +WEEK_START = datetime.datetime.timestamp(week_start_dt) +WEEK_END = datetime.datetime.timestamp(week_end_dt) + +# Get Per Month Info # +all_month_names, all_month_timestamps = [], [] +curr_dt = start_date.replace(day=1) +while curr_dt <= end_date: + # Get Info # + month_name = curr_dt.strftime("%b") + month_dt = datetime.datetime.combine(curr_dt, min_dt) + month_ts = datetime.datetime.timestamp(month_dt) + all_month_names.append(month_name) + all_month_timestamps.append(month_ts) + + # Increment # + curr_dt += relativedelta(months=+1) diff --git a/droid/plotting/text.py b/droid/plotting/text.py new file mode 100644 index 0000000..7912a6f --- /dev/null +++ b/droid/plotting/text.py @@ -0,0 +1,67 @@ +user_to_lab = { + "Alexander Khazatsky": "IRIS", + "Sasha Khazatsky": "IRIS", + "Ethan Foster": "IRIS", + "Emma Klemperer": "IRIS", + "Suneel Belkhale": "ILIAD", + "Joey Hejna": "ILIAD", + "Yilin Wu": "ILIAD", + "Marion Lepert": "IPRL", + "Jimmy Wu": "IPRL", + "Daniel Morton": "IPRL", + "Homer Walke": "RAIL", + "Caroline Johnson": "RAIL", + "Samantha Huang": "RAIL", + "Christian Avina": "RAIL", + "Emi Tran": "RAIL", + "Mohan Kumar": "GuptaLab", + "Glen Berseth": "REAL", + "Kirsty Ellis": "REAL", + "Kirsty ellis": "REAL", + "Paul Crouther": "REAL", + "Albert Zhan": "REAL", + "Cassandre Hamel": "REAL", + "Samy Rasmy": "REAL", + "Minho Heo": "CLVR", + "Sungjae Park": "CLVR", + "Vaidehi Som": "PennPAL", + # Added by Sidd... + "Heng Wei": "REAL", + "Yunshuang Li": "PennPAL", + "Jason Ma": "PennPAL", + "Rishi Bedi": "IPRL", + "Amine Obeid": "REAL", + "Kaylee Burns": "IRIS", + # Added by Lawrence... + "Lawrence Chen": "AUTOLab", + "Roy Lin": "AUTOLab", + "Zehan Ma": "AUTOLab", +} + +clean_user = { + "Alexander Khazatsky": "Sasha Khazatsky", + "Kirsty ellis": "Kirsty Ellis", + # Added by Sidd... + "heng wei": "Heng Wei", +} + +all_tasks = [ + "Press button", + "Open or close hinged object", + "Open or close slidable objects", + "Turn twistable object", + "Move object into or out of container", + "Move lid on or off of container", + "Move object to a new position and orientation", + "Use cup to pour something granular", + "Use object to pick up something", + "Use cloth to clean something", + "Use object to stir something", + "Open or close curtain", + "Hang or unhang object", + "Fold, spread out, or clump object", + "Do anything you like that takes multiple steps to complete", + "Do any task, and then reset the scene", + "Do any two tasks consecutively", + "Do any three tasks consecutively", +] diff --git a/droid/postprocessing/__init__.py b/droid/postprocessing/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/postprocessing/parse.py b/droid/postprocessing/parse.py new file mode 100644 index 0000000..710d930 --- /dev/null +++ b/droid/postprocessing/parse.py @@ -0,0 +1,110 @@ +""" +parse.py + +Core parsing logic -- takes a path to a raw demonstration directory (comprised of `trajectory.h5` and the SVO +recordings), parses out the relevant structured information following the schema in `droid.postprocessing.schema`, +returning a JSON-serializable data record. +""" +from datetime import datetime +from pathlib import Path +from typing import Dict, Optional, Tuple + +import h5py + +from droid.postprocessing.schema import TRAJECTORY_SCHEMA + + +def parse_datetime(date_str: str, mode="day") -> datetime: + if mode == "day": + return datetime.strptime(date_str, "%Y-%m-%d") + else: + raise ValueError(f"Function `parse_datetime` mode `{mode}` not supported!") + + +def parse_user( + trajectory_dir: Path, aliases: Dict[str, Tuple[str, str]], members: Dict[str, Dict[str, str]] +) -> Tuple[Optional[str], Optional[str]]: + try: + with h5py.File(trajectory_dir / "trajectory.h5", "r") as h5: + user_alias = h5.attrs["user"].title() + lab, user = aliases.get(user_alias, (None, None)) + + assert user_alias in aliases, f"User alias `{user_alias}` not in REGISTERED_LAB_MEMBERS or REGISTERED_ALIASES!" + assert lab in members, f"Lab `{lab}` not in REGISTERED_LAB_MEMBERS!" + assert user in members[lab], f"Canonical user `{user}` not in REGISTERED_LAB_MEMBERS['{lab}']" + + return user, members[lab][user] + + except AssertionError as e: + raise e + + except (KeyError, OSError, RuntimeError): + # Invalid/Incomplete HDF5 File --> return invalid :: (None, None) + return None, None + + +def parse_timestamp(trajectory_dir: Path) -> str: + for pattern in [ + "%a_%b__%d_%H:%M:%S_%Y", + "%a_%b_%d_%H:%M:%S_%Y", # Colon + "%a_%b__%d_%H_%M_%S_%Y", + "%a_%b_%d_%H_%M_%S_%Y", # Underscore + "%a_%b__%d_%H:%M:%S_%Y", + "%a_%b_%d_%H:%M:%S_%Y", # Slash + ]: + try: + return datetime.strptime(trajectory_dir.name, pattern).strftime("%Y-%m-%d-%Hh-%Mm-%Ss") + except ValueError as e: + assert ("time data" in str(e)) and ("does not match format" in str(e)) + continue + + # Invalid Trajectory Directory Path --> wonky timestamp! Check for common failure cases, then error. + try: + _ = datetime.strptime(trajectory_dir.name, "%Y-%m-%d") + raise AssertionError(f"Unexpected Directory `{trajectory_dir}` -- did you accidentally nest directories?") + except ValueError as e: + raise AssertionError(f"Invalid Directory `{trajectory_dir}` -- check timestamp format!") from e + + +def parse_trajectory( + data_dir: Path, trajectory_dir: Path, uuid: str, lab: str, user: str, user_id: str, timestamp: str +) -> Tuple[bool, Optional[Dict]]: + """Attempt to parse `/trajectory.h5` and extract relevant elements into a JSON-valid record.""" + try: + with h5py.File(trajectory_dir / "trajectory.h5", "r") as h5: + assert "action" in h5.keys(), "Incomplete HDF5 file; no actual trajectory data logged!" + trajectory_record, attrs, trajectory_length = {}, h5.attrs, int(h5["action"]["joint_position"].shape[0]) + exts = ["ext1", "ext2"] + + # Extract Camera Information + camera_types, camera_extrinsics = h5["observation"]["camera_type"], h5["observation"]["camera_extrinsics"] + ctype2extrinsics = { + "wrist" if camera_types[serial][0] == 0 else exts.pop(0): { + "serial": serial, + "extrinsics": camera_extrinsics[f"{serial}_left"][0], + } + for serial in sorted(camera_types.keys()) + } + + # Compute Relative Path to `trajectory.h5` + hdf5_path = str(trajectory_dir.relative_to(data_dir) / "trajectory.h5") + + # Populate Record + for cname, etl_fn in TRAJECTORY_SCHEMA.items(): + trajectory_record[cname] = etl_fn( + uuid=uuid, + lab=lab, + user=user, + user_id=user_id, + timestamp=timestamp, + hdf5_path=hdf5_path, + attrs=attrs, + trajectory_length=trajectory_length, + ctype2extrinsics=ctype2extrinsics, + ) + + return True, trajectory_record + + except (AssertionError, KeyError, OSError, RuntimeError): + # Invalid/Incomplete HDF5 File --> return invalid! + return False, None diff --git a/droid/postprocessing/schema.py b/droid/postprocessing/schema.py new file mode 100644 index 0000000..ad7fa20 --- /dev/null +++ b/droid/postprocessing/schema.py @@ -0,0 +1,144 @@ +""" +schema.py + +Schema & processing functions for extracting and formatting metadata from an individual DROID trajectory as a +JSON-serializable record. Converting to JSON provides a more friendly human-readable format, and facilitates downstream +tools for standing up a database/query engine. +""" +from typing import Callable, Dict, List, Optional + + +# === ETL Function Definitions === +def get_uuid(*, uuid: str, **_) -> str: + return uuid + + +def get_lab(*, lab: str, **_) -> str: + return lab + + +def get_user(*, user: str, **_) -> str: + return user + + +def get_user_id(*, user_id: str, **_) -> str: + return user_id + + +def get_date(*, timestamp: str, **_) -> str: + return timestamp[:10] # YYYY-MM-DD + + +def get_timestamp(*, timestamp: str, **_) -> str: + return timestamp + + +def get_hdf5_path(*, hdf5_path: str, **_) -> str: + return hdf5_path + + +def get_building(*, attrs: Dict, **_) -> str: + return attrs.get("building", "N/A") + + +def get_scene_id(*, attrs: Dict, **_) -> str: + return int(attrs.get("scene_id", -1)) + + +def get_success(*, attrs: Dict, **_) -> Optional[bool]: + return bool(attrs["success"]) if "success" in attrs else None + + +def get_robot_serial(*, attrs: Dict, **_) -> str: + return attrs.get("robot_serial_number", "unknown") + + +def get_droid_version(*, attrs: Dict, **_) -> str: + return str(attrs.get("version_number", "-1.0")) + + +def get_current_task(*, attrs: Dict, **_) -> str: + return attrs["current_task"] + + +def get_trajectory_length(*, trajectory_length: int, **_) -> int: + return trajectory_length + + +def get_wrist_cam_serial(*, ctype2extrinsics: Dict, **_) -> str: + return ctype2extrinsics["wrist"]["serial"] + + +def get_ext1_cam_serial(*, ctype2extrinsics: Dict, **_) -> str: + return ctype2extrinsics["ext1"]["serial"] + + +def get_ext2_cam_serial(*, ctype2extrinsics: Dict, **_) -> str: + return ctype2extrinsics["ext2"]["serial"] + + +def get_wrist_cam_extrinsics(*, ctype2extrinsics: Dict, **_) -> List[float]: + return ctype2extrinsics["wrist"]["extrinsics"].tolist() + + +def get_ext1_cam_extrinsics(*, ctype2extrinsics: Dict, **_) -> List[float]: + return ctype2extrinsics["ext1"]["extrinsics"].tolist() + + +def get_ext2_cam_extrinsics(*, ctype2extrinsics: Dict, **_) -> List[float]: + return ctype2extrinsics["ext2"]["extrinsics"].tolist() + + +def get_path_placeholder(**_) -> None: + return None + + +# fmt: off +TRAJECTORY_SCHEMA: Dict[str, Callable] = { + "uuid": get_uuid, + "lab": get_lab, + "user": get_user, + "user_id": get_user_id, + "date": get_date, + "timestamp": get_timestamp, + + # === HDF5 Parameters === + "hdf5_path": get_hdf5_path, + "building": get_building, + "scene_id": get_scene_id, + "success": get_success, + "robot_serial": get_robot_serial, + "droid_version": get_droid_version, + + # === Task Parameters === + "current_task": get_current_task, + + # === Trajectory Parameters === + "trajectory_length": get_trajectory_length, + + # === ZED Camera Parameters === + "wrist_cam_serial": get_wrist_cam_serial, + "ext1_cam_serial": get_ext1_cam_serial, + "ext2_cam_serial": get_ext2_cam_serial, + + # Camera Extrinsics for Third-Person Cameras (always assumes *left* stereo camera, ext1/ext2 sorted by serial #) + # => Extrinsics are saved as a 6-dim vector of [pos; rot] where: + # - `pos` is (x, y, z) offset --> moving left of robot is +y, moving right is -y + # - `rot` is rotation offset as Euler (`R.from_matrix(rmat).as_euler("xyz")`) + "wrist_cam_extrinsics": get_wrist_cam_extrinsics, + "ext1_cam_extrinsics": get_ext1_cam_extrinsics, + "ext2_cam_extrinsics": get_ext2_cam_extrinsics, + + # Save SVO and MP4 Paths --> Paths are always "relative" to directory! + "wrist_svo_path": get_path_placeholder, + "wrist_mp4_path": get_path_placeholder, + "ext1_svo_path": get_path_placeholder, + "ext1_mp4_path": get_path_placeholder, + "ext2_svo_path": get_path_placeholder, + "ext2_mp4_path": get_path_placeholder, + + # Mapping to "left" and "right" external MP4s --> computed heuristically... + "left_mp4_path": get_path_placeholder, + "right_mp4_path": get_path_placeholder, +} +# fmt: off diff --git a/droid/postprocessing/stages.py b/droid/postprocessing/stages.py new file mode 100644 index 0000000..5b885d8 --- /dev/null +++ b/droid/postprocessing/stages.py @@ -0,0 +1,218 @@ +""" +stages.py + +Functions capturing logic for the various postprocessing stages: + - Stage 1 :: "Indexing" --> Quickly iterate through all data, identifying formatting errors & naively counting + total number of demonstrations to process/convert/upload. + + Note :: Raises hard exceptions on any unexpected directory/file formatting! + + - Stage 2 :: "Processing" --> Walk through data, extract & validate metadata (writing a JSON record for each unique + demonstration). Additionally, runs conversion from SVO --> MP4. + + Note :: Logs corrupt HDF5/SVO files & raises warning at end of stage. + + - Stage 3 :: "Uploading" --> Iterates through individual processed demonstration directories, and uploads them + sequentially to the AWS S3 Bucket (via `boto`). + +The outputs/failures of each stage are logged to a special cache data structure that prevents redundant work where +possible. Note that to emphasize readability, some of the following code is intentionally redundant. +""" +import json +from datetime import datetime +from pathlib import Path +from typing import Dict, Tuple + +import boto3 +from tqdm import tqdm + +from droid.postprocessing.parse import parse_datetime, parse_timestamp, parse_trajectory, parse_user +from droid.postprocessing.util.svo2mp4 import convert_mp4s +from droid.postprocessing.util.validate import validate_day_dir, validate_metadata_record, validate_svo_existence + + +# === Stage 1 :: Indexing === +def run_indexing( + data_dir: Path, + lab: str, + start_datetime: datetime, + aliases: Dict[str, Tuple[str, str]], + members: Dict[str, Dict[str, str]], + totals: Dict[str, Dict[str, int]], + scanned_paths: Dict[str, Dict[str, str]], + indexed_uuids: Dict[str, Dict[str, str]], + errored_paths: Dict[str, Dict[str, str]], +) -> None: + """Index data by iterating through each "success/ | failure/" --> / --> / (specified trajectory).""" + progress = tqdm(desc="[*] Stage 1 =>> Indexing") + for outcome_dir, outcome in [(p, p.name) for p in [data_dir / "success", data_dir / "failure"]]: + if outcome == "failure" and not outcome_dir.exists(): + # Note: Some labs don't have failure trajectories... + continue + + day_dirs = sorted([p for p in outcome_dir.iterdir() if p.is_dir() and validate_day_dir(p)]) + for day_dir, day in [(p, p.name) for p in day_dirs]: + if parse_datetime(day) < start_datetime: + continue + + for trajectory_dir in [p for p in day_dir.iterdir() if p.is_dir()]: + rel_trajectory_dir = str(trajectory_dir.relative_to(data_dir)) + + # Extract Timestamp (from `trajectory_dir`) and User, User ID (from `trajectory.h5`) + timestamp = parse_timestamp(trajectory_dir) + user, user_id = parse_user(trajectory_dir, aliases, members) + if user is None or user_id is None: + scanned_paths[outcome][rel_trajectory_dir] = True + errored_paths[outcome][rel_trajectory_dir] = ( + "[Indexing Error] Missing/Invalid HDF5! " + "If the HDF5 is missing/corrupt, you can delete this trajectory!" + ) + totals["scanned"][outcome] = len(scanned_paths[outcome]) + totals["errored"][outcome] = len(errored_paths[outcome]) + progress.update() + continue + + # Create Trajectory UUID --> ++YYYY-MM-DD-{24 Hour}h-{Min}m-{Sec}s + uuid = f"{lab}+{user_id}+{timestamp}" + + # Verify SVO Files + if not validate_svo_existence(trajectory_dir): + scanned_paths[outcome][rel_trajectory_dir] = True + errored_paths[outcome][rel_trajectory_dir] = ( + "[Indexing Error] Missing SVO Files! " + "Ensure all 3 SVO files are in `/recordings/SVO/.svo!" + ) + totals["scanned"][outcome] = len(scanned_paths[outcome]) + totals["errored"][outcome] = len(errored_paths[outcome]) + progress.update() + continue + + # Otherwise -- we're good for indexing! + indexed_uuids[outcome][uuid] = rel_trajectory_dir + scanned_paths[outcome][rel_trajectory_dir] = True + errored_paths[outcome].pop(rel_trajectory_dir, None) + totals["scanned"][outcome] = len(scanned_paths[outcome]) + totals["indexed"][outcome] = len(indexed_uuids[outcome]) + totals["errored"][outcome] = len(errored_paths[outcome]) + progress.update() + + +# === Stage 2 :: Processing === +def run_processing( + data_dir: Path, + lab: str, + aliases: Dict[str, Tuple[str, str]], + members: Dict[str, Dict[str, str]], + totals: Dict[str, Dict[str, int]], + indexed_uuids: Dict[str, Dict[str, str]], + processed_uuids: Dict[str, Dict[str, str]], + errored_paths: Dict[str, Dict[str, str]], + process_batch_limit: int = 250, +) -> None: + """Iterate through each trajectory in `indexed_uuids` and 1) extract JSON metadata and 2) convert SVO -> MP4.""" + for outcome in indexed_uuids: + uuid2trajectory_generator, counter = indexed_uuids[outcome].items(), 0 + for uuid, rel_trajectory_dir in tqdm(uuid2trajectory_generator, desc=f"[*] Stage 2 =>> `{outcome}` Processing"): + if uuid in processed_uuids[outcome]: + continue + + trajectory_dir = data_dir / rel_trajectory_dir + timestamp = parse_timestamp(trajectory_dir) + user, user_id = parse_user(trajectory_dir, aliases, members) + + # Run Metadata Extraction --> JSON-serializable Data Record + Validation + valid_parse, metadata_record = parse_trajectory( + data_dir, trajectory_dir, uuid, lab, user, user_id, timestamp + ) + if not valid_parse: + errored_paths[outcome][rel_trajectory_dir] = "[Processing Error] JSON Metadata Parse Error" + totals["errored"][outcome] = len(errored_paths[outcome]) + continue + + # Convert SVOs --> MP4s + valid_convert, vid_paths = convert_mp4s( + data_dir, + trajectory_dir, + metadata_record["wrist_cam_serial"], + metadata_record["ext1_cam_serial"], + metadata_record["ext2_cam_serial"], + metadata_record["ext1_cam_extrinsics"], + metadata_record["ext2_cam_extrinsics"], + ) + if not valid_convert: + errored_paths[outcome][rel_trajectory_dir] = "[Processing Error] Corrupted SVO / Failed Conversion" + totals["errored"][outcome] = len(errored_paths[outcome]) + continue + + # Finalize Metadata Record + for key, vid_path in vid_paths.items(): + metadata_record[key] = vid_path + + # Validate + if not validate_metadata_record(metadata_record): + errored_paths[outcome][rel_trajectory_dir] = "[Processing Error] Incomplete Metadata Record!" + totals["errored"][outcome] = len(errored_paths[outcome]) + continue + + # Write JSON + with open(trajectory_dir / f"metadata_{uuid}.json", "w") as f: + json.dump(metadata_record, f) + + # Otherwise --> we're good for processing! + processed_uuids[outcome][uuid] = rel_trajectory_dir + errored_paths[outcome].pop(rel_trajectory_dir, None) + totals["processed"][outcome] = len(processed_uuids[outcome]) + totals["errored"][outcome] = len(errored_paths[outcome]) + counter += 1 + + # Note :: ZED SDK has an unfortunate problem with segmentation faults after processing > 2000 videos. + # Unfortunately, no good way to catch/handle a segfault from Python --> instead we just set + # a max limit `process_batch_limit` and trust that caching works. + if counter > process_batch_limit: + print("[*] EXITING TO PREVENT SVO SEGFAULT!") + return + + +# === Stage 3 :: Uploading === +def run_upload( + data_dir: Path, + lab: str, + credentials_json: Path, + totals: Dict[str, Dict[str, int]], + processed_uuids: Dict[str, Dict[str, str]], + uploaded_uuids: Dict[str, Dict[str, str]], + bucket_name: str = "droid-data", + prefix: str = "lab-uploads/", +) -> None: + """Iterate through each successfully processed trajectory in `processed_uuids` and upload to S3.""" + with open(credentials_json, "r") as f: + credentials = json.load(f) + + # Initialize S3 Client from Credentials & Validate + client = boto3.client( + "s3", aws_access_key_id=credentials["AccessKeyID"], aws_secret_access_key=credentials["SecretAccessKey"] + ) + response = client.head_bucket(Bucket=bucket_name) + assert ( + response["ResponseMetadata"]["HTTPStatusCode"] == 200 + ), "Problem connecting to S3 bucket; verify credentials JSON file!" + + # Start Uploading + for outcome in processed_uuids: + uuid2trajectory_generator = processed_uuids[outcome].items() + for uuid, rel_trajectory_dir in tqdm(uuid2trajectory_generator, desc=f"[*] Stage 3 =>> `{outcome}` Uploading"): + if uuid in uploaded_uuids[outcome]: + continue + + # Recursively walk through each file in the `trajectory_dir` and upload one at a time! + trajectory_dir = data_dir / rel_trajectory_dir + for child in tqdm( + list(trajectory_dir.rglob("*")), desc=f" => Uploading `{rel_trajectory_dir}`", leave=False + ): + if child.is_file(): + s3_path = str(Path(prefix) / lab / child.relative_to(data_dir)) + client.upload_file(str(child), Bucket=bucket_name, Key=s3_path) + + # If we've managed to upload all files without error, then we're good for uploading! + uploaded_uuids[outcome][uuid] = rel_trajectory_dir + totals["uploaded"][outcome] = len(uploaded_uuids[outcome]) diff --git a/droid/postprocessing/util/__init__.py b/droid/postprocessing/util/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/postprocessing/util/svo2mp4.py b/droid/postprocessing/util/svo2mp4.py new file mode 100644 index 0000000..79824a7 --- /dev/null +++ b/droid/postprocessing/util/svo2mp4.py @@ -0,0 +1,152 @@ +""" +svo2mp4.py + +Utility scripts for using the ZED Python SDK and FFMPEG to convert raw `.svo` files to `.mp4` files (including "fused" +MP4s with multiple camera feeds). +""" +import os +import subprocess +from pathlib import Path +from typing import Dict, List, Optional, Tuple + +import cv2 +import pyzed.sl as sl +from tqdm import tqdm + + +def export_mp4(svo_file: Path, mp4_dir: Path, stereo_view: str = "left", show_progress: bool = False) -> bool: + """Reads an SVO file, dumping the export MP4 to the desired path; supports ZED SDK 3.8.* and 4.0.* ONLY.""" + mp4_out = mp4_dir / f"{svo_file.stem}.mp4" + sdk_version, use_sdk_4 = sl.Camera().get_sdk_version(), None + if not (sdk_version.startswith("4.0") or sdk_version.startswith("3.8")): + raise ValueError("Function `export_mp4` only supports ZED SDK 3.8 OR 4.0; if you see this, contact Sidd!") + else: + use_sdk_4 = sdk_version.startswith("4.0") + + # Configure PyZED --> set mostly from SVO Path, don't convert in realtime! + initial_parameters = sl.InitParameters() + initial_parameters.set_from_svo_file(str(svo_file)) + initial_parameters.svo_real_time_mode = False + initial_parameters.coordinate_units = sl.UNIT.MILLIMETER + initial_parameters.camera_image_flip = sl.FLIP_MODE.OFF + + # Create ZED Camera Object & Open SVO File + zed = sl.Camera() + err = zed.open(initial_parameters) + if err != sl.ERROR_CODE.SUCCESS: + zed.close() + return False + + # [NOTE SDK SEMANTICS] --> Get Image Size & FPS + if use_sdk_4: + fps = zed.get_camera_information().camera_configuration.fps + resolution = zed.get_camera_information().camera_configuration.resolution + width, height = resolution.width, resolution.height + else: + fps = zed.get_camera_information().camera_fps + resolution = zed.get_camera_information().camera_resolution + width, height = resolution.width, resolution.height + + # Create ZED Image Containers + assert stereo_view in {"left", "right"}, f"Invalid View to Export `{stereo_view}`!" + img_container = sl.Mat() + + # Create a VideoWriter with the MP4V Codec + video_writer = cv2.VideoWriter( + str(mp4_out), + cv2.VideoWriter_fourcc(*"mp4v"), + fps, + (width, height), + ) + if not video_writer.isOpened(): + print(f"Error Opening CV2 Video Writer; check the MP4 path `{mp4_out}` and permissions!") + zed.close() + return False + + # SVO Export + n_frames, rt_parameters = zed.get_svo_number_of_frames(), sl.RuntimeParameters() + if show_progress: + pbar = tqdm(total=n_frames, desc=" => Exporting SVO Frames", leave=False) + + # Read & Transcode all Frames + while True: + grabbed = zed.grab(rt_parameters) + + # [NOTE SDK SEMANTICS] --> ZED SDK 4.0 introduces `sl.ERROR_CODE.END_OF_SVOFILE_REACHED` + if (grabbed == sl.ERROR_CODE.SUCCESS) or (use_sdk_4 and (grabbed == sl.ERROR_CODE.END_OF_SVOFILE_REACHED)): + svo_position = zed.get_svo_position() + zed.retrieve_image(img_container, {"left": sl.VIEW.LEFT, "right": sl.VIEW.RIGHT}[stereo_view]) + + # Copy image data into VideoWrite after converting to RGB + rgb = cv2.cvtColor(img_container.get_data(), cv2.COLOR_RGBA2RGB) + video_writer.write(rgb) + + # Update Progress + if show_progress: + pbar.update() + + # [NOTE SDK SEMANTICS] --> Check if we've reached the end of the video + if (svo_position >= (n_frames - 1)) or (use_sdk_4 and (grabbed == sl.ERROR_CODE.END_OF_SVOFILE_REACHED)): + break + + # Cleanup & Return + video_writer.release() + zed.close() + if show_progress: + pbar.close() + + return True + + +def convert_mp4s( + data_dir: Path, + demo_dir: Path, + wrist_serial: str, + ext1_serial: str, + ext2_serial: str, + ext1_extrinsics: List[float], + ext2_extrinsics: List[float], + do_fuse: bool = False, +) -> Tuple[bool, Optional[Dict[str, str]]]: + """Convert each `serial.svo` to a valid MP4 file, updating the `data_record` path entries in-place.""" + svo_path, mp4_path = demo_dir / "recordings" / "SVO", demo_dir / "recordings" / "MP4" + os.makedirs(mp4_path, exist_ok=True) + for svo_file in svo_path.iterdir(): + successful_convert = export_mp4(svo_file, mp4_path, show_progress=True) + if not successful_convert: + return False, None + + # Associate Ext1 / Ext2 with left/right positions relative to the robot base; use computed extrinsics. + # => Extrinsics are saved as a 6-dim vector of [pos; rot] where: + # - `pos` is (x, y, z) offset --> moving left of robot is +y, moving right is -y + # - `rot` is rotation offset as Euler (`R.from_matrix(rmat).as_euler("xyz")`) + # => Therefore we can compute `left = ext1_serial if ext1_extrinsics[1] > ext2_extrinsics[1]` + ext1_y, ext2_y = ext1_extrinsics[1], ext2_extrinsics[1] + left_serial = ext1_serial if ext1_y > ext2_y else ext2_serial + right_serial = ext2_serial if left_serial == ext1_serial else ext1_serial + + # Create Dictionary of SVO/MP4 Paths + rel_svo_path, rel_mp4_path = svo_path.relative_to(data_dir), mp4_path.relative_to(data_dir) + record_paths = { + "wrist_svo_path": str(rel_svo_path / f"{wrist_serial}.svo"), + "wrist_mp4_path": str(rel_mp4_path / f"{wrist_serial}.mp4"), + "ext1_svo_path": str(rel_svo_path / f"{ext1_serial}.svo"), + "ext1_mp4_path": str(rel_mp4_path / f"{ext1_serial}.mp4"), + "ext2_svo_path": str(rel_svo_path / f"{ext2_serial}.svo"), + "ext2_mp4_path": str(rel_mp4_path / f"{ext2_serial}.mp4"), + "left_mp4_path": str(rel_mp4_path / f"{left_serial}.mp4"), + "right_mp4_path": str(rel_mp4_path / f"{right_serial}.mp4"), + } + + if do_fuse: + # Build Fused Left/Right MP4 Files via FFMPEG + left, right = str(mp4_path / f"{left_serial}.mp4"), str(mp4_path / f"{right_serial}.mp4") + subprocess.run( + f"ffmpeg -y -i {left} -i {right} -vsync 2 -filter_complex hstack {mp4_path / 'fused.mp4'!s}", + shell=True, + check=True, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + + return True, record_paths diff --git a/droid/postprocessing/util/validate.py b/droid/postprocessing/util/validate.py new file mode 100644 index 0000000..ab6f27e --- /dev/null +++ b/droid/postprocessing/util/validate.py @@ -0,0 +1,64 @@ +""" +validate.py + +Helper functions for validating almost every part of the postprocessing pipeline; the general principle is to +*fail-fast*; if there is any data in a format we don't recognize, we raise an informative error, and stop the +post-processing loop. + +It is up to the individual users to correct these errors/manually override them. +""" +import os +import re +import shutil +from datetime import datetime +from pathlib import Path +from typing import Dict + + +# === Indexing / Formatting Validators === +def validate_user2id(registered_lab_members: Dict[str, Dict[str, str]]) -> bool: + unique_users, unique_ids = {}, {} + for lab in sorted(registered_lab_members): + for user, uuid in sorted(registered_lab_members[lab].items()): + dup_user, dup_uuid = f"Duplicate User `{user}` in Lab `{lab}", f"Duplicate UUID `{uuid}` for User `{user}`" + assert user not in unique_users, f"{dup_user}; already exists in Lab: {unique_users[user]}!" + assert uuid not in unique_ids, f"{dup_uuid}; already exists for (Lab, User): {unique_ids[uuid]}!" + unique_users[user], unique_ids[uuid] = lab, user + + # Global Uniqueness Assertion + assert len(unique_users) == len(unique_ids), "Mismatch between number of unique Users and UUIDs!" + return True + + +def validate_day_dir(day_dir: Path) -> bool: + format_err_msg = f"Invalid directory `{day_dir}`; should match YYYY-MM-DD!" + date_err_msg = f"Invalid directory `{day_dir}`; date is in the future!" + assert re.match(r"^\d{4}-\d{2}-\d{2}", day_dir.name) is not None, format_err_msg + assert datetime.strptime(day_dir.name, "%Y-%m-%d") <= datetime.now(), date_err_msg + return True + + +def validate_svo_existence(trajectory_dir: Path) -> bool: + svo_path = trajectory_dir / "recordings" / "SVO" + if svo_path.exists() and (len([p for p in svo_path.iterdir() if p.name.endswith(".svo")]) == 3): + return True + + # Check Common Failure Mode --> files at `trajectory_dir / recordings / *.svo` + fallback_svo_path = trajectory_dir / "recordings" + if fallback_svo_path.exists() and (len([p for p in fallback_svo_path.iterdir() if p.name.endswith(".svo")]) == 3): + os.makedirs(svo_path, exist_ok=False) + svo_files = list([p for p in fallback_svo_path.iterdir() if p.name.endswith(".svo")]) + for file in svo_files: + shutil.move(file, svo_path / file.name) + return len([p for p in svo_path.iterdir() if p.name.endswith(".svo")]) == 3 + + return False + + +# === Metadata Record Validator === +def validate_metadata_record(metadata_record: Dict) -> bool: + for key in metadata_record: + if metadata_record[key] is None: + return False + + return True diff --git a/droid/robot_env.py b/droid/robot_env.py new file mode 100644 index 0000000..f555b50 --- /dev/null +++ b/droid/robot_env.py @@ -0,0 +1,133 @@ +from copy import deepcopy + +import gym +import numpy as np + +from droid.calibration.calibration_utils import load_calibration_info +from droid.camera_utils.info import camera_type_dict +from droid.camera_utils.wrappers.multi_camera_wrapper import MultiCameraWrapper +from droid.misc.parameters import hand_camera_id, nuc_ip +from droid.misc.server_interface import ServerInterface +from droid.misc.time import time_ms +from droid.misc.transformations import change_pose_frame + + +class RobotEnv(gym.Env): + def __init__(self, action_space="cartesian_velocity", gripper_action_space=None, camera_kwargs={}, do_reset=True): + # Initialize Gym Environment + super().__init__() + + # Define Action Space # + assert action_space in ["cartesian_position", "joint_position", "cartesian_velocity", "joint_velocity"] + self.action_space = action_space + self.gripper_action_space = gripper_action_space + self.check_action_range = "velocity" in action_space + + # Robot Configuration + self.reset_joints = np.array([0, -1 / 5 * np.pi, 0, -4 / 5 * np.pi, 0, 3 / 5 * np.pi, 0.0]) + self.randomize_low = np.array([-0.1, -0.2, -0.1, -0.3, -0.3, -0.3]) + self.randomize_high = np.array([0.1, 0.2, 0.1, 0.3, 0.3, 0.3]) + self.DoF = 7 if ("cartesian" in action_space) else 8 + self.control_hz = 15 + + if nuc_ip is None: + from franka.robot import FrankaRobot + + self._robot = FrankaRobot() + else: + self._robot = ServerInterface(ip_address=nuc_ip) + + # Create Cameras + self.camera_reader = MultiCameraWrapper(camera_kwargs) + self.calibration_dict = load_calibration_info() + self.camera_type_dict = camera_type_dict + + # Reset Robot + if do_reset: + self.reset() + + def step(self, action): + # Check Action + assert len(action) == self.DoF + if self.check_action_range: + assert (action.max() <= 1) and (action.min() >= -1) + + # Update Robot + action_info = self.update_robot( + action, + action_space=self.action_space, + gripper_action_space=self.gripper_action_space, + ) + + # Return Action Info + return action_info + + def reset(self, randomize=False): + self._robot.update_gripper(0, velocity=False, blocking=True) + + if randomize: + noise = np.random.uniform(low=self.randomize_low, high=self.randomize_high) + else: + noise = None + + self._robot.update_joints(self.reset_joints, velocity=False, blocking=True, cartesian_noise=noise) + + def update_robot(self, action, action_space="cartesian_velocity", gripper_action_space=None, blocking=False): + action_info = self._robot.update_command( + action, + action_space=action_space, + gripper_action_space=gripper_action_space, + blocking=blocking + ) + return action_info + + def create_action_dict(self, action): + return self._robot.create_action_dict(action) + + def read_cameras(self): + return self.camera_reader.read_cameras() + + def get_state(self): + read_start = time_ms() + state_dict, timestamp_dict = self._robot.get_robot_state() + timestamp_dict["read_start"] = read_start + timestamp_dict["read_end"] = time_ms() + return state_dict, timestamp_dict + + def get_camera_extrinsics(self, state_dict): + # Adjust gripper camere by current pose + extrinsics = deepcopy(self.calibration_dict) + for cam_id in self.calibration_dict: + if hand_camera_id not in cam_id: + continue + gripper_pose = state_dict["cartesian_position"] + extrinsics[cam_id + "_gripper_offset"] = extrinsics[cam_id] + extrinsics[cam_id] = change_pose_frame(extrinsics[cam_id], gripper_pose) + return extrinsics + + def get_observation(self): + obs_dict = {"timestamp": {}} + + # Robot State # + state_dict, timestamp_dict = self.get_state() + obs_dict["robot_state"] = state_dict + obs_dict["timestamp"]["robot_state"] = timestamp_dict + + # Camera Readings # + camera_obs, camera_timestamp = self.read_cameras() + obs_dict.update(camera_obs) + obs_dict["timestamp"]["cameras"] = camera_timestamp + + # Camera Info # + obs_dict["camera_type"] = deepcopy(self.camera_type_dict) + extrinsics = self.get_camera_extrinsics(state_dict) + obs_dict["camera_extrinsics"] = extrinsics + + intrinsics = {} + for cam in self.camera_reader.camera_dict.values(): + cam_intr_info = cam.get_intrinsics() + for (full_cam_id, info) in cam_intr_info.items(): + intrinsics[full_cam_id] = info["cameraMatrix"] + obs_dict["camera_intrinsics"] = intrinsics + + return obs_dict diff --git a/droid/robot_ik/arm.py b/droid/robot_ik/arm.py new file mode 100644 index 0000000..1ed70b6 --- /dev/null +++ b/droid/robot_ik/arm.py @@ -0,0 +1,68 @@ +import os + +import numpy as np +from dm_control import mjcf +from dm_robotics.moma.models import types +from dm_robotics.moma.models.robots.robot_arms import robot_arm + +from droid.misc.parameters import robot_type + + +class RobotArm(robot_arm.RobotArm): + def _build(self, model_file): + self._mjcf_root = mjcf.from_path(self._model_file) + + def _create_body(self): + # Find MJCF elements that will be exposed as attributes. + self._joints = self._mjcf_root.find_all("joint") + self._bodies = self.mjcf_model.find_all("body") + self._actuators = self.mjcf_model.find_all("actuator") + self._wrist_site = self.mjcf_model.find("site", "wrist_site") + self._base_site = self.mjcf_model.find("site", "base_site") + + def name(self) -> str: + return self._name + + @property + def joints(self): + """List of joint elements belonging to the arm.""" + return self._joints + + @property + def actuators(self): + """List of actuator elements belonging to the arm.""" + return self._actuators + + @property + def mjcf_model(self): + """Returns the `mjcf.RootElement` object corresponding to this robot.""" + return self._mjcf_root + + def update_state(self, physics: mjcf.Physics, qpos: np.ndarray, qvel: np.ndarray) -> None: + physics.bind(self._joints).qpos[:] = qpos + physics.bind(self._joints).qvel[:] = qvel + + def set_joint_angles(self, physics: mjcf.Physics, qpos: np.ndarray) -> None: + physics.bind(self._joints).qpos[:] = qpos + + @property + def base_site(self) -> types.MjcfElement: + return self._base_site + + @property + def wrist_site(self) -> types.MjcfElement: + return self._wrist_site + + def initialize_episode(self, physics: mjcf.Physics, random_state: np.random.RandomState): + """Function called at the beginning of every episode.""" + del random_state # Unused. + return + + +class FrankaArm(RobotArm): + def _build(self): + self._name = "franka" + dir_path = os.path.dirname(os.path.realpath(__file__)) + self._model_file = os.path.join(dir_path, "franka", "{0}.xml".format(robot_type)) + self._mjcf_root = mjcf.from_path(self._model_file) + self._create_body() diff --git a/droid/robot_ik/franka/fr3.xml b/droid/robot_ik/franka/fr3.xml new file mode 100644 index 0000000..243f413 --- /dev/null +++ b/droid/robot_ik/franka/fr3.xml @@ -0,0 +1,79 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/droid/robot_ik/franka/mesh/finger.obj b/droid/robot_ik/franka/mesh/finger.obj new file mode 100644 index 0000000..582e716 --- /dev/null +++ b/droid/robot_ik/franka/mesh/finger.obj @@ -0,0 +1,2412 @@ +# Blender 3.1.0 +# www.blender.org +mtllib finger.mtl +o node1 +v -0.000900 0.009423 0.048367 +v -0.003461 0.009426 0.045455 +v 0.003367 0.009420 0.045796 +v 0.002354 0.009420 0.047536 +v 0.001210 0.009422 0.048205 +v -0.002569 0.009414 0.047296 +v -0.010405 0.018387 0.003964 +v 0.010303 0.019675 0.004000 +v -0.010307 0.019704 0.004000 +v -0.010328 0.017411 0.006312 +v 0.010338 0.017411 0.006348 +v -0.010350 0.002563 0.001800 +v -0.010464 0.008072 0.001741 +v -0.010366 0.002524 0.000133 +v -0.010338 0.008029 0.003838 +v -0.010498 0.010668 0.003808 +v -0.010375 0.011577 0.017773 +v -0.010379 0.012792 0.018852 +v -0.010402 0.017414 0.004770 +v -0.010333 0.016215 0.018827 +v -0.010501 0.017036 0.017714 +v -0.010464 0.020754 0.001741 +v -0.010256 0.020798 0.003920 +v -0.010391 0.026304 0.000164 +v -0.010350 0.026263 0.001800 +v -0.005033 0.005965 0.003875 +v 0.006784 0.007870 0.003922 +v 0.010339 0.008029 0.003838 +v -0.006688 0.007826 0.003913 +v -0.004875 0.002588 0.003875 +v 0.004875 0.002538 0.003825 +v 0.004882 0.006314 0.003998 +v 0.010350 0.002563 0.001800 +v 0.004862 0.002482 0.001761 +v 0.010378 0.002535 0.000153 +v -0.004861 0.002482 0.001761 +v 0.010389 0.026280 0.000133 +v 0.004901 0.026345 0.001761 +v 0.010350 0.026263 0.001800 +v -0.004838 0.026298 0.003838 +v 0.004839 0.026252 0.003885 +v -0.004913 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b/droid/robot_ik/franka/texture/panda.png new file mode 100644 index 0000000..85ecdb6 Binary files /dev/null and b/droid/robot_ik/franka/texture/panda.png differ diff --git a/droid/robot_ik/robot_ik_solver.py b/droid/robot_ik/robot_ik_solver.py new file mode 100644 index 0000000..a073699 --- /dev/null +++ b/droid/robot_ik/robot_ik_solver.py @@ -0,0 +1,120 @@ +import numpy as np +from dm_control import mjcf +from dm_robotics.moma.effectors import arm_effector, cartesian_6d_velocity_effector + +from droid.robot_ik.arm import FrankaArm + + +class RobotIKSolver: + def __init__(self): + self.relative_max_joint_delta = np.array([0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]) + self.max_joint_delta = self.relative_max_joint_delta.max() + self.max_gripper_delta = 0.25 + self.max_lin_delta = 0.075 + self.max_rot_delta = 0.15 + self.control_hz = 15 + + self._arm = FrankaArm() + self._physics = mjcf.Physics.from_mjcf_model(self._arm.mjcf_model) + self._effector = arm_effector.ArmEffector(arm=self._arm, action_range_override=None, robot_name=self._arm.name) + + self._effector_model = cartesian_6d_velocity_effector.ModelParams(self._arm.wrist_site, self._arm.joints) + + self._effector_control = cartesian_6d_velocity_effector.ControlParams( + control_timestep_seconds=1 / self.control_hz, + max_lin_vel=self.max_lin_delta, + max_rot_vel=self.max_rot_delta, + joint_velocity_limits=self.relative_max_joint_delta, + nullspace_joint_position_reference=[0] * 7, + nullspace_gain=0.025, + regularization_weight=1e-2, + enable_joint_position_limits=True, + minimum_distance_from_joint_position_limit=0.3, + joint_position_limit_velocity_scale=0.95, + max_cartesian_velocity_control_iterations=300, + max_nullspace_control_iterations=300, + ) + + self._cart_effector_6d = cartesian_6d_velocity_effector.Cartesian6dVelocityEffector( + self._arm.name, self._effector, self._effector_model, self._effector_control + ) + self._cart_effector_6d.after_compile(self._arm.mjcf_model, self._physics) + + ### Inverse Kinematics ### + def cartesian_velocity_to_joint_velocity(self, cartesian_velocity, robot_state): + cartesian_delta = self.cartesian_velocity_to_delta(cartesian_velocity) + qpos = np.array(robot_state["joint_positions"]) + qvel = np.array(robot_state["joint_velocities"]) + + self._arm.update_state(self._physics, qpos, qvel) + self._cart_effector_6d.set_control(self._physics, cartesian_delta) + joint_delta = self._physics.bind(self._arm.actuators).ctrl.copy() + np.any(joint_delta) + + joint_velocity = self.joint_delta_to_velocity(joint_delta) + + return joint_velocity + + ### Velocity To Delta ### + def gripper_velocity_to_delta(self, gripper_velocity): + gripper_vel_norm = np.linalg.norm(gripper_velocity) + + if gripper_vel_norm > 1: + gripper_velocity = gripper_velocity / gripper_vel_norm + + gripper_delta = gripper_velocity * self.max_gripper_delta + + return gripper_delta + + def cartesian_velocity_to_delta(self, cartesian_velocity): + if isinstance(cartesian_velocity, list): + cartesian_velocity = np.array(cartesian_velocity) + + lin_vel, rot_vel = cartesian_velocity[:3], cartesian_velocity[3:6] + + lin_vel_norm = np.linalg.norm(lin_vel) + rot_vel_norm = np.linalg.norm(rot_vel) + + if lin_vel_norm > 1: + lin_vel = lin_vel / lin_vel_norm + if rot_vel_norm > 1: + rot_vel = rot_vel / rot_vel_norm + + lin_delta = lin_vel * self.max_lin_delta + rot_delta = rot_vel * self.max_rot_delta + + return np.concatenate([lin_delta, rot_delta]) + + def joint_velocity_to_delta(self, joint_velocity): + if isinstance(joint_velocity, list): + joint_velocity = np.array(joint_velocity) + + relative_max_joint_vel = self.joint_delta_to_velocity(self.relative_max_joint_delta) + max_joint_vel_norm = (np.abs(joint_velocity) / relative_max_joint_vel).max() + + if max_joint_vel_norm > 1: + joint_velocity = joint_velocity / max_joint_vel_norm + + joint_delta = joint_velocity * self.max_joint_delta + + return joint_delta + + ### Delta To Velocity ### + def gripper_delta_to_velocity(self, gripper_delta): + return gripper_delta / self.max_gripper_delta + + def cartesian_delta_to_velocity(self, cartesian_delta): + if isinstance(cartesian_delta, list): + cartesian_delta = np.array(cartesian_delta) + + cartesian_velocity = np.zeros_like(cartesian_delta) + cartesian_velocity[:3] = cartesian_delta[:3] / self.max_lin_delta + cartesian_velocity[3:6] = cartesian_delta[3:6] / self.max_rot_delta + + return cartesian_velocity + + def joint_delta_to_velocity(self, joint_delta): + if isinstance(joint_delta, list): + joint_delta = np.array(joint_delta) + + return joint_delta / self.max_joint_delta diff --git a/droid/training/model_trainer.py b/droid/training/model_trainer.py new file mode 100644 index 0000000..6b90604 --- /dev/null +++ b/droid/training/model_trainer.py @@ -0,0 +1,197 @@ +import csv +import json +import os +import shutil +import time +from collections import OrderedDict, defaultdict + +import matplotlib.pyplot as plt +import numpy as np +import torch +import torch.optim as optim +from tqdm import trange + +from droid.data_loading.data_loader import create_train_test_data_loader +from droid.training.models.policy_network import ImagePolicy + + +def exp_launcher(variant, run_id, exp_id): + variant["exp_name"] = os.path.join(variant["exp_name"], "run{0}/id{1}/".format(run_id, exp_id)) + + # Set Random Seeds # + torch.manual_seed(variant["seed"]) + np.random.seed(variant["seed"]) + + # Set Compute Mode # + use_gpu = variant.get("use_gpu", False) + torch.device("cuda:0" if use_gpu else "cpu") + + # Prepare Dataset Generators # + data_loader_kwargs = variant.get("data_loader_kwargs", {}) + data_processing_kwargs = variant.get("data_processing_kwargs", {}) + camera_kwargs = variant.get("camera_kwargs", {}) + train_dataloader, test_dataloader = create_train_test_data_loader( + data_loader_kwargs=data_loader_kwargs, data_processing_kwargs=data_processing_kwargs, camera_kwargs=camera_kwargs + ) + + # Create Model # + model = ImagePolicy(**variant.get("model_kwargs", {})) + if use_gpu: + model.cuda() + + # Create Trainer # + trainer = ModelTrainer( + model=model, + train_dataloader=train_dataloader, + test_dataloader=test_dataloader, + exp_name=variant["exp_name"], + variant=variant, + **variant.get("training_kwargs", {}), + ) + + # Launch Experiment # + trainer.train() + + +class ModelTrainer: + def __init__( + self, + model, + train_dataloader, + test_dataloader, + exp_name, + variant, + num_epochs=25, + weight_decay=0.0, + lr=1e-3, + grad_steps_per_epoch=1000, + ): + self.model = model + self.train_dataloader = iter(train_dataloader) + self.test_dataloader = iter(test_dataloader) + self.optimizer = None + self.grad_steps_per_epoch = grad_steps_per_epoch + self.weight_decay = weight_decay + self.num_epochs = num_epochs + self.lr = lr + + self.persistent_statistics = defaultdict(list) + self.eval_statistics = defaultdict(list) + self.variant = variant + + dir_path = os.path.dirname(os.path.realpath(__file__)) + self.log_dir = os.path.join(dir_path, "../../training_logs", exp_name) + + def compute_loss(self, batch, test=False): + prefix = "test-" if test else "train-" + loss = self.model.compute_loss(batch) + self.eval_statistics[prefix + "Loss"].append(loss.item()) + return loss + + def save_policy(self, epoch): + path = os.path.join(self.log_dir, "models", str(epoch) + ".pt") + torch.save(self.model, path) + + def train_batch(self, batch): + if self.optimizer is None: + self.compute_loss(batch) + params = list(self.model.parameters()) + self.optimizer = optim.Adam(params, lr=self.lr, weight_decay=self.weight_decay) + + self.optimizer.zero_grad() + loss = self.compute_loss(batch) + + loss.backward() + self.optimizer.step() + + def test_batch(self, batch): + self.compute_loss(batch, test=True) + + def train_epoch(self, epoch): + start_time = time.time() + self.model.train() + + # Train On Batches # + training_procedure = trange(self.grad_steps_per_epoch) + training_procedure.set_description("Epoch {0}: Training".format(epoch)) + + for _i in training_procedure: + batch = next(self.train_dataloader) + self.train_batch(batch) + + self.eval_statistics["train-epoch_duration"].append(time.time() - start_time) + + def test_epoch(self, epoch, test_batches=100): + start_time = time.time() + self.model.eval() + + # Test On Batches # + testing_procedure = trange(test_batches) + testing_procedure.set_description("Epoch {0}: Testing".format(epoch)) + + for _i in testing_procedure: + batch = next(self.test_dataloader) + self.test_batch(batch) + + self.eval_statistics["test-epoch_duration"].append(time.time() - start_time) + + def prepare_logdir(self): + if os.path.exists(self.log_dir): + response = input("Directory Exists - Enter 'overwrite' to continue\n") + if response == "overwrite": + shutil.rmtree(self.log_dir) + else: + raise RuntimeError + + os.makedirs(self.log_dir) + os.makedirs(self.log_dir + "graphs/") + os.makedirs(self.log_dir + "models/") + + with open(self.log_dir + "variant.json", "w") as outfile: + json.dump(self.variant, outfile) + + def output_diagnostics(self, epoch): + stats = OrderedDict() + for k in sorted(self.eval_statistics.keys()): + stats[k] = np.mean(self.eval_statistics[k]) + self.persistent_statistics[k + "/mean"].append(stats[k]) + self.persistent_statistics[k + "/std"].append(np.std(self.eval_statistics[k])) + + self.update_plots(epoch) + + if epoch == 0: + with open(self.log_dir + "progress.csv", "w", newline="") as f: + writer = csv.DictWriter(f, fieldnames=stats.keys()) + writer.writeheader() + + with open(self.log_dir + "progress.csv", "a", newline="") as f: + writer = csv.DictWriter(f, fieldnames=stats.keys()) + writer.writerow(stats) + + self.eval_statistics = defaultdict(list) + np.save(self.log_dir + "logs.npy", self.persistent_statistics) + + print("\nEPOCH: ", epoch) + for k, v in stats.items(): + spacing = ":" + " " * (30 - len(k)) + print(k + spacing + str(round(v, 5))) + + def update_plots(self, epoch): + x_axis = np.arange(epoch + 1) + for k in sorted(self.eval_statistics.keys()): + plt.clf() + mean = np.array(self.persistent_statistics[k + "/mean"]) + std = np.array(self.persistent_statistics[k + "/std"]) + plt.plot(x_axis, mean, color="blue") + plt.fill_between(x_axis, mean - std, mean + std, facecolor="blue", alpha=0.5) + plt.title(k) + plt.savefig(self.log_dir + "graphs/{0}.png".format(k)) + + def train(self): + self.prepare_logdir() + + for epoch in range(self.num_epochs): + self.test_epoch(epoch) + self.train_epoch(epoch) + self.save_policy(epoch) + self.output_diagnostics(epoch) diff --git a/droid/training/models/policy_network.py b/droid/training/models/policy_network.py new file mode 100644 index 0000000..a4d0070 --- /dev/null +++ b/droid/training/models/policy_network.py @@ -0,0 +1,259 @@ +import torch +import torch.utils.data +from torch import nn +from torch.nn import functional as F + + +class Residual(nn.Module): + def __init__(self, in_channels, num_hiddens, num_residual_hiddens): + super(Residual, self).__init__() + self._block = nn.Sequential( + nn.ReLU(True), + nn.Conv2d( + in_channels=in_channels, + out_channels=num_residual_hiddens, + kernel_size=3, + stride=1, + padding=1, + bias=False, + ), + nn.ReLU(True), + nn.Conv2d(in_channels=num_residual_hiddens, out_channels=num_hiddens, kernel_size=1, stride=1, bias=False), + ) + + def forward(self, x): + return x + self._block(x) + + +class ResidualStack(nn.Module): + def __init__(self, in_channels, num_hiddens, num_residual_layers, num_residual_hiddens): + super(ResidualStack, self).__init__() + self._num_residual_layers = num_residual_layers + self._layers = nn.ModuleList( + [Residual(in_channels, num_hiddens, num_residual_hiddens) for _ in range(self._num_residual_layers)] + ) + + def forward(self, x): + for i in range(self._num_residual_layers): + x = self._layers[i](x) + return F.relu(x) + + +class Encoder(nn.Module): + def __init__(self, in_channels, num_hiddens, num_residual_layers, num_residual_hiddens, embedding_dim): + super(Encoder, self).__init__() + + self._conv_1 = nn.Conv2d( + in_channels=in_channels, out_channels=num_hiddens // 2, kernel_size=4, stride=2, padding=1 + ) + self._conv_2 = nn.Conv2d( + in_channels=num_hiddens // 2, out_channels=num_hiddens, kernel_size=4, stride=2, padding=1 + ) + self._conv_3 = nn.Conv2d(in_channels=num_hiddens, out_channels=num_hiddens, kernel_size=3, stride=1, padding=1) + self._residual_stack = ResidualStack( + in_channels=num_hiddens, + num_hiddens=num_hiddens, + num_residual_layers=num_residual_layers, + num_residual_hiddens=num_residual_hiddens, + ) + self._final_conv = nn.Conv2d(in_channels=num_hiddens, out_channels=embedding_dim, kernel_size=1, stride=1) + + def forward(self, inputs): + batch_size = inputs.shape[0] + + x = self._conv_1(inputs) + x = F.relu(x) + + x = self._conv_2(x) + x = F.relu(x) + + x = self._conv_3(x) + + x = self._residual_stack(x) + + x = self._final_conv(x) + + return x.view(batch_size, -1) + + +class ImagePolicy(nn.Module): + def __init__( + self, + embedding_dim=1, + num_encoder_hiddens=128, + num_residual_layers=3, + num_residual_hiddens=64, + representation_size=100, + num_camera_layers=4, + num_camera_hidden=400, + num_state_layers=4, + num_state_hidden=400, + num_policy_layers=4, + num_policy_hidden=400, + ): + super(ImagePolicy, self).__init__() + + self.representation_size = representation_size + self.embedding_dim = embedding_dim + + self.num_encoder_hiddens = num_encoder_hiddens + self.num_residual_layers = num_residual_layers + self.num_residual_hiddens = num_residual_hiddens + + self.num_camera_layers = num_camera_layers + self.num_camera_hidden = num_camera_hidden + + self.num_state_layers = num_state_layers + self.num_state_hidden = num_state_hidden + + self.num_policy_layers = num_policy_layers + self.num_policy_hidden = num_policy_hidden + + self.network_initialized = False + self.loss = nn.HuberLoss() + + def create_camera_encoder(self, input_dim): + network = nn.ModuleList([]) + + encoder = Encoder( + input_dim[1], + self.num_encoder_hiddens, + self.num_residual_layers, + self.num_residual_hiddens, + self.embedding_dim, + ) + network.append(encoder) + + fake_input = torch.zeros(input_dim) + output_size = encoder(fake_input).shape[1] + + fc_layers = self.create_fully_connected( + output_size, + self.representation_size, + self.num_camera_layers, + self.num_camera_hidden, + output_activation=nn.LeakyReLU, + ) + network.extend(fc_layers) + + return nn.Sequential(*network) + + def create_fully_connected(self, input_dim, output_dim, num_layers, num_hiddens, output_activation): + hidden_layers = nn.ModuleList([]) + in_dim = input_dim + + for i in range(num_layers): + if i == (num_layers - 1): + out_dim, curr_activation = output_dim, output_activation() + else: + out_dim, curr_activation = num_hiddens, nn.LeakyReLU(True) + + curr_layer = nn.Linear(in_dim, out_dim) + nn.init.xavier_uniform_(curr_layer.weight, gain=1) + curr_layer.bias.data.uniform_(-1e-3, 1e-3) + + hidden_layers.append(curr_layer) + hidden_layers.append(curr_activation) + + in_dim = out_dim + + return hidden_layers + + def initialize_networks(self, timestep): + camera_dict = timestep["observation"]["camera"] + state = timestep["observation"]["state"] + actions = timestep["action"] + + # Create High Dimensional Networks # + self.camera_encoder_dict = nn.ModuleDict({}) + for obs_type in camera_dict: + self.camera_encoder_dict[obs_type] = nn.ModuleDict({}) + + for cam_type in camera_dict[obs_type]: + self.camera_encoder_dict[obs_type][cam_type] = self.create_camera_encoder( + camera_dict[obs_type][cam_type][0].shape + ) + + # Create State Network # + state_encoder_network = self.create_fully_connected( + state.shape[1], + self.representation_size, + self.num_state_layers, + self.num_state_hidden, + output_activation=nn.LeakyReLU, + ) + self.state_encoder_network = nn.Sequential(*state_encoder_network) + + # Create Policy Network # + latent = self.encode_timestep(timestep) + policy_network = self.create_fully_connected( + latent.shape[1], actions.shape[1], self.num_policy_layers, self.num_policy_hidden, output_activation=nn.Tanh + ) + self.policy_network = nn.Sequential(*policy_network) + + # Mark As Initialized # + self.network_initialized = True + + def compute_loss(self, timestep): + if not self.network_initialized: + self.initialize_networks(timestep) + + action = self.forward(timestep) + bc_loss = self.loss(action, timestep["action"]) + return bc_loss + + def encode_timestep(self, timestep): + # Process Timestep # + camera_dict = timestep["observation"]["camera"] + state = timestep["observation"]["state"] + state.shape[0] + latent_list = [] + + # Encode State Observations # + if state.shape[1] > 0: + state_latent = self.state_encoder_network(state) + latent_list.append(state_latent) + + # Encode Camera Observations # + sorted_obs_type_keys = sorted(camera_dict.keys()) + camera_latent = [] + + for obs_type in sorted_obs_type_keys: + sorted_cam_type_keys = sorted(camera_dict[obs_type].keys()) + obs_type_latent = [] + + for cam_type in sorted_cam_type_keys: + obs_list = camera_dict[obs_type][cam_type] + network = self.camera_encoder_dict[obs_type][cam_type] + + # Method 1 # + encodings = [network(data) for data in obs_list] + curr_camera_latent = torch.cat(encodings, dim=1) + + # # # Method 2 # + + # stacked_obs = torch.cat(obs_list, dim=0) + # stacked_latent = network(stacked_obs) + # curr_high_dim_latent_2 = stacked_latent.reshape(batch_size, -1) + + obs_type_latent.append(curr_camera_latent) + + if len(obs_type_latent): + obs_type_latent = torch.cat(obs_type_latent, dim=1) + camera_latent.append(obs_type_latent) + + if len(camera_latent): + camera_latent = torch.cat(camera_latent, dim=1) + latent_list.append(camera_latent) + + # Return Latent # + return torch.cat(latent_list, dim=1) + + def forward(self, timestep): + # Encode Timestep # + latent = self.encode_timestep(timestep) + + # Pass Through Policy # + action = self.policy_network(latent) + + return action diff --git a/droid/trajectory_utils/misc.py b/droid/trajectory_utils/misc.py new file mode 100644 index 0000000..c52124e --- /dev/null +++ b/droid/trajectory_utils/misc.py @@ -0,0 +1,505 @@ +import time +from collections import defaultdict +from copy import deepcopy + +import cv2 +import numpy as np +from PIL import Image + +from droid.calibration.calibration_utils import * +from droid.camera_utils.info import camera_type_to_string_dict +from droid.camera_utils.wrappers.recorded_multi_camera_wrapper import RecordedMultiCameraWrapper +from droid.misc.parameters import * +from droid.misc.time import time_ms +from droid.misc.transformations import change_pose_frame +from droid.trajectory_utils.trajectory_reader import TrajectoryReader +from droid.trajectory_utils.trajectory_writer import TrajectoryWriter + + +def collect_trajectory( + env, + controller=None, + policy=None, + horizon=None, + save_filepath=None, + metadata=None, + wait_for_controller=False, + obs_pointer=None, + save_images=False, + recording_folderpath=False, + randomize_reset=False, + reset_robot=True, +): + """ + Collects a robot trajectory. + - If policy is None, actions will come from the controller + - If a horizon is given, we will step the environment accordingly + - Otherwise, we will end the trajectory when the controller tells us to + - If you need a pointer to the current observation, pass a dictionary in for obs_pointer + """ + + # Check Parameters # + assert (controller is not None) or (policy is not None) + assert (controller is not None) or (horizon is not None) + if wait_for_controller: + assert controller is not None + if obs_pointer is not None: + assert isinstance(obs_pointer, dict) + if save_images: + assert save_filepath is not None + + # Reset States # + if controller is not None: + controller.reset_state() + env.camera_reader.set_trajectory_mode() + + # Prepare Data Writers If Necesary # + if save_filepath: + traj_writer = TrajectoryWriter(save_filepath, metadata=metadata, save_images=save_images) + if recording_folderpath: + env.camera_reader.start_recording(recording_folderpath) + + # Prepare For Trajectory # + num_steps = 0 + if reset_robot: + env.reset(randomize=randomize_reset) + + # Begin! # + while True: + # Collect Miscellaneous Info # + controller_info = {} if (controller is None) else controller.get_info() + skip_action = wait_for_controller and (not controller_info["movement_enabled"]) + control_timestamps = {"step_start": time_ms()} + + # Get Observation # + obs = env.get_observation() + if obs_pointer is not None: + obs_pointer.update(obs) + obs["controller_info"] = controller_info + obs["timestamp"]["skip_action"] = skip_action + + # Get Action # + control_timestamps["policy_start"] = time_ms() + if policy is None: + action, controller_action_info = controller.forward(obs, include_info=True) + else: + action = policy.forward(obs) + controller_action_info = {} + + # Regularize Control Frequency # + control_timestamps["sleep_start"] = time_ms() + comp_time = time_ms() - control_timestamps["step_start"] + sleep_left = (1 / env.control_hz) - (comp_time / 1000) + if sleep_left > 0: + time.sleep(sleep_left) + + # Moniter Control Frequency # + # moniter_control_frequency = True + # if moniter_control_frequency: + # print('Sleep Left: ', sleep_left) + # print('Feasible Hz: ', (1000 / comp_time)) + + # Step Environment # + control_timestamps["control_start"] = time_ms() + if skip_action: + action_info = env.create_action_dict(np.zeros_like(action)) + else: + action_info = env.step(action) + action_info.update(controller_action_info) + + # Save Data # + control_timestamps["step_end"] = time_ms() + obs["timestamp"]["control"] = control_timestamps + timestep = {"observation": obs, "action": action_info} + if save_filepath: + traj_writer.write_timestep(timestep) + + # Check Termination # + num_steps += 1 + if horizon is not None: + end_traj = horizon == num_steps + else: + end_traj = controller_info["success"] or controller_info["failure"] + + # Close Files And Return # + if end_traj: + if recording_folderpath: + env.camera_reader.stop_recording() + if save_filepath: + traj_writer.close(metadata=controller_info) + return controller_info + + +def calibrate_camera( + env, + camera_id, + controller, + step_size=0.01, + pause_time=0.5, + image_freq=10, + obs_pointer=None, + wait_for_controller=False, + reset_robot=True, +): + """Returns true if calibration was successful, otherwise returns False + 3rd Person Calibration Instructions: Press A when board in aligned with the camera from 1 foot away. + Hand Calibration Instructions: Press A when the hand camera is aligned with the board from 1 foot away.""" + + if obs_pointer is not None: + assert isinstance(obs_pointer, dict) + + # Get Camera + Set Calibration Mode # + camera = env.camera_reader.get_camera(camera_id) + env.camera_reader.set_calibration_mode(camera_id) + assert pause_time > (camera.latency / 1000) + + # Select Proper Calibration Procedure # + hand_camera = camera.serial_number == hand_camera_id + intrinsics_dict = camera.get_intrinsics() + if hand_camera: + calibrator = HandCameraCalibrator(intrinsics_dict) + else: + calibrator = ThirdPersonCameraCalibrator(intrinsics_dict) + + if reset_robot: + env.reset() + controller.reset_state() + + while True: + # Collect Controller Info # + controller_info = controller.get_info() + start_time = time.time() + + # Get Observation # + state, _ = env.get_state() + cam_obs, _ = env.read_cameras() + + for full_cam_id in cam_obs["image"]: + if camera_id not in full_cam_id: + continue + cam_obs["image"][full_cam_id] = calibrator.augment_image(full_cam_id, cam_obs["image"][full_cam_id]) + if obs_pointer is not None: + obs_pointer.update(cam_obs) + + # Get Action # + action = controller.forward({"robot_state": state}) + action[-1] = 0 # Keep gripper open + + # Regularize Control Frequency # + comp_time = time.time() - start_time + sleep_left = (1 / env.control_hz) - comp_time + if sleep_left > 0: + time.sleep(sleep_left) + + # Step Environment # + skip_step = wait_for_controller and (not controller_info["movement_enabled"]) + if not skip_step: + env.step(action) + + # Check Termination # + start_calibration = controller_info["success"] + end_calibration = controller_info["failure"] + + # Close Files And Return # + if start_calibration: + break + if end_calibration: + return False + + # Collect Data # + time.time() + pose_origin = state["cartesian_position"] + i = 0 + + while True: + # Check For Termination # + controller_info = controller.get_info() + if controller_info["failure"]: + return False + + # Start # + start_time = time.time() + take_picture = (i % image_freq) == 0 + + # Collect Observations # + if take_picture: + time.sleep(pause_time) + state, _ = env.get_state() + cam_obs, _ = env.read_cameras() + + # Add Sample + Augment Images # + for full_cam_id in cam_obs["image"]: + if camera_id not in full_cam_id: + continue + if take_picture: + img = deepcopy(cam_obs["image"][full_cam_id]) + pose = state["cartesian_position"].copy() + calibrator.add_sample(full_cam_id, img, pose) + cam_obs["image"][full_cam_id] = calibrator.augment_image(full_cam_id, cam_obs["image"][full_cam_id]) + + # Update Obs Pointer # + if obs_pointer is not None: + obs_pointer.update(cam_obs) + + # Move To Desired Next Pose # + calib_pose = calibration_traj(i * step_size, hand_camera=hand_camera) + desired_pose = change_pose_frame(calib_pose, pose_origin) + action = np.concatenate([desired_pose, [0]]) + env.update_robot(action, action_space="cartesian_position", blocking=False) + + # Regularize Control Frequency # + comp_time = time.time() - start_time + sleep_left = (1 / env.control_hz) - comp_time + if sleep_left > 0: + time.sleep(sleep_left) + + # Check If Cycle Complete # + cycle_complete = (i * step_size) >= (2 * np.pi) + if cycle_complete: + break + i += 1 + + # SAVE INTO A JSON + for full_cam_id in cam_obs["image"]: + if camera_id not in full_cam_id: + continue + success = calibrator.is_calibration_accurate(full_cam_id) + if not success: + return False + transformation = calibrator.calibrate(full_cam_id) + update_calibration_info(full_cam_id, transformation) + + return True + + +def replay_trajectory( + env, filepath=None, assert_replayable_keys=["cartesian_position", "gripper_position", "joint_positions"] +): + print("WARNING: STATE 'CLOSENESS' FOR REPLAYABILITY HAS NOT BEEN CALIBRATED") + gripper_key = "gripper_velocity" if "velocity" in env.action_space else "gripper_position" + + # Prepare Trajectory Reader # + traj_reader = TrajectoryReader(filepath, read_images=False) + horizon = traj_reader.length() + + for i in range(horizon): + # Get HDF5 Data # + timestep = traj_reader.read_timestep() + + # Move To Initial Position # + if i == 0: + init_joint_position = timestep["observation"]["robot_state"]["joint_positions"] + init_gripper_position = timestep["observation"]["robot_state"]["gripper_position"] + action = np.concatenate([init_joint_position, [init_gripper_position]]) + env.update_robot(action, action_space="joint_position", blocking=True) + + # TODO: Assert Replayability # + # robot_state = env.get_state()[0] + # for key in assert_replayable_keys: + # desired = timestep['observation']['robot_state'][key] + # current = robot_state[key] + # assert np.allclose(desired, current) + + # Regularize Control Frequency # + time.sleep(1 / env.control_hz) + + # Get Action In Desired Action Space # + arm_action = timestep["action"][env.action_space] + gripper_action = timestep["action"][gripper_key] + action = np.concatenate([arm_action, [gripper_action]]) + controller_info = timestep["observation"]["controller_info"] + movement_enabled = controller_info.get("movement_enabled", True) + + # Follow Trajectory # + if movement_enabled: + env.step(action) + + +def load_trajectory( + filepath=None, + read_cameras=True, + recording_folderpath=None, + camera_kwargs={}, + remove_skipped_steps=False, + num_samples_per_traj=None, + num_samples_per_traj_coeff=1.5, +): + read_hdf5_images = read_cameras and (recording_folderpath is None) + read_recording_folderpath = read_cameras and (recording_folderpath is not None) + + traj_reader = TrajectoryReader(filepath, read_images=read_hdf5_images) + if read_recording_folderpath: + camera_reader = RecordedMultiCameraWrapper(recording_folderpath, camera_kwargs) + + horizon = traj_reader.length() + timestep_list = [] + + # Choose Timesteps To Save # + if num_samples_per_traj: + num_to_save = num_samples_per_traj + if remove_skipped_steps: + num_to_save = int(num_to_save * num_samples_per_traj_coeff) + max_size = min(num_to_save, horizon) + indices_to_save = np.sort(np.random.choice(horizon, size=max_size, replace=False)) + else: + indices_to_save = np.arange(horizon) + + # Iterate Over Trajectory # + for i in indices_to_save: + # Get HDF5 Data # + timestep = traj_reader.read_timestep(index=i) + + # If Applicable, Get Recorded Data # + if read_recording_folderpath: + timestamp_dict = timestep["observation"]["timestamp"]["cameras"] + camera_type_dict = { + k: camera_type_to_string_dict[v] for k, v in timestep["observation"]["camera_type"].items() + } + camera_obs = camera_reader.read_cameras( + index=i, camera_type_dict=camera_type_dict, timestamp_dict=timestamp_dict + ) + camera_failed = camera_obs is None + + # Add Data To Timestep If Successful # + if camera_failed: + break + else: + timestep["observation"].update(camera_obs) + + # Filter Steps # + step_skipped = not timestep["observation"]["controller_info"].get("movement_enabled", True) + delete_skipped_step = step_skipped and remove_skipped_steps + + # Save Filtered Timesteps # + if delete_skipped_step: + del timestep + else: + timestep_list.append(timestep) + + # Remove Extra Transitions # + timestep_list = np.array(timestep_list) + if (num_samples_per_traj is not None) and (len(timestep_list) > num_samples_per_traj): + ind_to_keep = np.random.choice(len(timestep_list), size=num_samples_per_traj, replace=False) + timestep_list = timestep_list[ind_to_keep] + + # Close Readers # + traj_reader.close() + if read_recording_folderpath: + camera_reader.disable_cameras() + + # Return Data # + return timestep_list + + +def visualize_timestep(timestep, max_width=1000, max_height=500, aspect_ratio=1.5, pause_time=15): + # Process Image Data # + obs = timestep["observation"] + if "image" in obs: + img_obs = obs["image"] + elif "image" in obs["camera"]: + img_obs = obs["camera"]["image"] + else: + raise ValueError + + camera_ids = sorted(img_obs.keys()) + sorted_image_list = [] + for cam_id in camera_ids: + data = img_obs[cam_id] + if type(data) == list: + sorted_image_list.extend(data) + else: + sorted_image_list.append(data) + + # Get Ideal Number Of Rows # + num_images = len(sorted_image_list) + max_num_rows = int(num_images**0.5) + for num_rows in range(max_num_rows, 0, -1): + num_cols = num_images // num_rows + if num_images % num_rows == 0: + break + + # Get Per Image Shape # + max_img_width, max_img_height = max_width // num_cols, max_height // num_rows + if max_img_width > aspect_ratio * max_img_height: + img_width, img_height = max_img_width, int(max_img_width / aspect_ratio) + else: + img_width, img_height = int(max_img_height * aspect_ratio), max_img_height + + # Fill Out Image Grid # + img_grid = [[] for i in range(num_rows)] + + for i in range(len(sorted_image_list)): + img = Image.fromarray(sorted_image_list[i]) + resized_img = img.resize((img_width, img_height), Image.Resampling.LANCZOS) + img_grid[i % num_rows].append(np.array(resized_img)) + + # Combine Images # + for i in range(num_rows): + img_grid[i] = np.hstack(img_grid[i]) + img_grid = np.vstack(img_grid) + + # Visualize Frame # + cv2.imshow("Image Feed", img_grid) + cv2.waitKey(pause_time) + + +def visualize_trajectory( + filepath, + recording_folderpath=None, + remove_skipped_steps=False, + camera_kwargs={}, + max_width=1000, + max_height=500, + aspect_ratio=1.5, +): + traj_reader = TrajectoryReader(filepath, read_images=True) + if recording_folderpath: + if camera_kwargs is {}: + camera_kwargs = defaultdict(lambda: {"image": True}) + camera_reader = RecordedMultiCameraWrapper(recording_folderpath, camera_kwargs) + + horizon = traj_reader.length() + camera_failed = False + + for i in range(horizon): + # Get HDF5 Data # + timestep = traj_reader.read_timestep() + + # If Applicable, Get Recorded Data # + if recording_folderpath: + timestamp_dict = timestep["observation"]["timestamp"]["cameras"] + camera_type_dict = { + k: camera_type_to_string_dict[v] for k, v in timestep["observation"]["camera_type"].items() + } + camera_obs = camera_reader.read_cameras( + index=i, camera_type_dict=camera_type_dict, timestamp_dict=timestamp_dict + ) + camera_failed = camera_obs is None + + # Add Data To Timestep # + if not camera_failed: + timestep["observation"].update(camera_obs) + + # Filter Steps # + step_skipped = not timestep["observation"]["controller_info"].get("movement_enabled", True) + delete_skipped_step = step_skipped and remove_skipped_steps + delete_step = delete_skipped_step or camera_failed + if delete_step: + continue + + # Get Image Info # + assert "image" in timestep["observation"] + img_obs = timestep["observation"]["image"] + camera_ids = list(img_obs.keys()) + len(camera_ids) + camera_ids.sort() + + # Visualize Timestep # + visualize_timestep( + timestep, max_width=max_width, max_height=max_height, aspect_ratio=aspect_ratio, pause_time=15 + ) + + # Close Readers # + traj_reader.close() + if recording_folderpath: + camera_reader.disable_cameras() diff --git a/droid/trajectory_utils/trajectory_reader.py b/droid/trajectory_utils/trajectory_reader.py new file mode 100644 index 0000000..fd64e20 --- /dev/null +++ b/droid/trajectory_utils/trajectory_reader.py @@ -0,0 +1,116 @@ +import tempfile + +import h5py +import imageio + + +def create_video_file(suffix=".mp4", byte_contents=None): + # Create Temporary File # + temp_file = tempfile.NamedTemporaryFile(suffix=suffix) + filename = temp_file.name + + # If Byte Contents Provided, Write To File # + if byte_contents is not None: + with open(filename, "wb") as binary_file: + binary_file.write(byte_contents) + + return filename + + +def get_hdf5_length(hdf5_file, keys_to_ignore=[]): + length = None + + for key in hdf5_file.keys(): + if key in keys_to_ignore: + continue + + curr_data = hdf5_file[key] + if isinstance(curr_data, h5py.Group): + curr_length = get_hdf5_length(curr_data, keys_to_ignore=keys_to_ignore) + elif isinstance(curr_data, h5py.Dataset): + curr_length = len(curr_data) + else: + raise ValueError + + if length is None: + length = curr_length + assert curr_length == length + + return length + + +def load_hdf5_to_dict(hdf5_file, index, keys_to_ignore=[]): + data_dict = {} + + for key in hdf5_file.keys(): + if key in keys_to_ignore: + continue + + curr_data = hdf5_file[key] + if isinstance(curr_data, h5py.Group): + data_dict[key] = load_hdf5_to_dict(curr_data, index, keys_to_ignore=keys_to_ignore) + elif isinstance(curr_data, h5py.Dataset): + data_dict[key] = curr_data[index] + else: + raise ValueError + + return data_dict + + +class TrajectoryReader: + def __init__(self, filepath, read_images=True): + self._hdf5_file = h5py.File(filepath, "r") + is_video_folder = "observations/videos" in self._hdf5_file + self._read_images = read_images and is_video_folder + self._length = get_hdf5_length(self._hdf5_file) + self._video_readers = {} + self._index = 0 + + def length(self): + return self._length + + def read_timestep(self, index=None, keys_to_ignore=[]): + # Make Sure We Read Within Range # + if index is None: + index = self._index + else: + assert not self._read_images + self._index = index + assert index < self._length + + # Load Low Dimensional Data # + keys_to_ignore = [*keys_to_ignore.copy(), "videos"] + timestep = load_hdf5_to_dict(self._hdf5_file, self._index, keys_to_ignore=keys_to_ignore) + + # Load High Dimensional Data # + if self._read_images: + camera_obs = self._uncompress_images() + timestep["observations"]["image"] = camera_obs + + # Increment Read Index # + self._index += 1 + + # Return Timestep # + return timestep + + def _uncompress_images(self): + # WARNING: THIS FUNCTION HAS NOT BEEN TESTED. UNDEFINED BEHAVIOR FOR FAILED READING. # + video_folder = self._hdf5_file["observations/videos"] + camera_obs = {} + + for video_id in video_folder: + # Create Video Reader If One Hasn't Been Made # + if video_id not in self._video_readers: + serialized_video = video_folder[video_id] + filename = create_video_file(byte_contents=serialized_video) + self._video_readers[video_id] = imageio.get_reader(filename) + + # Read Next Frame # + camera_obs[video_id] = yield self._video_readers[video_id] + # Future Note: Could Make Thread For Each Image Reader + + # Return Camera Observation # + return camera_obs + + def close(self): + self._hdf5_file.close() diff --git a/droid/trajectory_utils/trajectory_writer.py b/droid/trajectory_utils/trajectory_writer.py new file mode 100644 index 0000000..56f5544 --- /dev/null +++ b/droid/trajectory_utils/trajectory_writer.py @@ -0,0 +1,140 @@ +import os +import tempfile +from collections import defaultdict +from copy import deepcopy +from queue import Empty, Queue + +import h5py +import imageio +import numpy as np + +from droid.misc.subprocess_utils import run_threaded_command + + +def write_dict_to_hdf5(hdf5_file, data_dict, keys_to_ignore=["image", "depth", "pointcloud"]): + for key in data_dict.keys(): + # Pass Over Specified Keys # + if key in keys_to_ignore: + continue + + # Examine Data # + curr_data = data_dict[key] + if type(curr_data) == list: + curr_data = np.array(curr_data) + dtype = type(curr_data) + + # Unwrap If Dictionary # + if dtype == dict: + if key not in hdf5_file: + hdf5_file.create_group(key) + write_dict_to_hdf5(hdf5_file[key], curr_data) + continue + + # Make Room For Data # + if key not in hdf5_file: + if dtype != np.ndarray: + dshape = () + else: + dtype, dshape = curr_data.dtype, curr_data.shape + hdf5_file.create_dataset(key, (1, *dshape), maxshape=(None, *dshape), dtype=dtype) + else: + hdf5_file[key].resize(hdf5_file[key].shape[0] + 1, axis=0) + + # Save Data # + hdf5_file[key][-1] = curr_data + + +class TrajectoryWriter: + def __init__(self, filepath, metadata=None, exists_ok=False, save_images=True): + assert (not os.path.isfile(filepath)) or exists_ok + self._filepath = filepath + self._save_images = save_images + self._hdf5_file = h5py.File(filepath, "w") + self._queue_dict = defaultdict(Queue) + self._video_writers = {} + self._video_files = {} + self._open = True + + # Add Metadata # + if metadata is not None: + self._update_metadata(metadata) + + # Start HDF5 Writer Thread # + def hdf5_writer(data): + return write_dict_to_hdf5(self._hdf5_file, data) + + run_threaded_command(self._write_from_queue, args=(hdf5_writer, self._queue_dict["hdf5"])) + + def write_timestep(self, timestep): + if self._save_images: + self._update_video_files(timestep) + self._queue_dict["hdf5"].put(timestep) + + def _update_metadata(self, metadata): + for key in metadata: + self._hdf5_file.attrs[key] = deepcopy(metadata[key]) + + def _write_from_queue(self, writer, queue): + while self._open: + try: + data = queue.get(timeout=1) + except Empty: + continue + writer(data) + queue.task_done() + + def _update_video_files(self, timestep): + image_dict = timestep["observations"]["image"] + + for video_id in image_dict: + # Get Frame # + img = image_dict[video_id] + del image_dict[video_id] + + # Create Writer And Buffer # + if video_id not in self._video_buffers: + filename = self.create_video_file(video_id, ".mp4") + self._video_writers[video_id] = imageio.get_writer(filename, macro_block_size=1) + run_threaded_command( + self._write_from_queue, args=(self._video_writers[video_id].append_data, self._queue_dict[video_id]) + ) + + # Add Image To Queue # + self._queue_dict[video_id].put(img) + + del timestep["observations"]["image"] + + def create_video_file(self, video_id, suffix): + temp_file = tempfile.NamedTemporaryFile(suffix=suffix) + self._video_files[video_id] = temp_file + return temp_file.name + + def close(self, metadata=None): + # Add Metadata # + if metadata is not None: + self._update_metadata(metadata) + + # Finish Remaining Jobs # + [queue.join() for queue in self._queue_dict.values()] + + # Close Video Writers # + for video_id in self._video_writers: + self._video_writers[video_id].close() + + # Save Serialized Videos # + for video_id in self._video_files: + # Create Folder # + if "videos" not in self._hdf5_file["observations"]: + self._hdf5_file["observations"].create_group("videos") + + # Get Serialized Video # + self._video_files[video_id].seek(0) + serialized_video = np.asarray(self._video_files[video_id].read()) + + # Save Data # + self._hdf5_file["observations"]["videos"].create_dataset(video_id, data=serialized_video) + self._video_files[video_id].close() + + # Close File # + self._hdf5_file.close() + self._open = False diff --git a/droid/user_interface/__init__.py b/droid/user_interface/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/droid/user_interface/data_collector.py b/droid/user_interface/data_collector.py new file mode 100644 index 0000000..382598a --- /dev/null +++ b/droid/user_interface/data_collector.py @@ -0,0 +1,177 @@ +import os +import time +from copy import deepcopy +from datetime import date + +import cv2 +import h5py + +import droid.trajectory_utils.misc as tu +from droid.calibration.calibration_utils import check_calibration_info +from droid.misc.parameters import hand_camera_id, droid_version, robot_serial_number, robot_type + +# Prepare Data Folder # +dir_path = os.path.dirname(os.path.realpath(__file__)) +data_dir = os.path.join(dir_path, "../../data") + + +class DataCollecter: + def __init__(self, env, controller, policy=None, save_data=True, save_traj_dir=None): + self.env = env + self.controller = controller + self.policy = policy + + self.last_traj_path = None + self.traj_running = False + self.traj_saved = False + self.obs_pointer = {} + + # Get Camera Info # + self.cam_ids = list(env.camera_reader.camera_dict.keys()) + self.cam_ids.sort() + + _, full_cam_ids = self.get_camera_feed() + self.num_cameras = len(full_cam_ids) + self.full_cam_ids = full_cam_ids + self.advanced_calibration = False + + # Make Sure Log Directorys Exist # + if save_traj_dir is None: + save_traj_dir = data_dir + self.success_logdir = os.path.join(save_traj_dir, "success", str(date.today())) + self.failure_logdir = os.path.join(save_traj_dir, "failure", str(date.today())) + if not os.path.isdir(self.success_logdir): + os.makedirs(self.success_logdir) + if not os.path.isdir(self.failure_logdir): + os.makedirs(self.failure_logdir) + self.save_data = save_data + + def reset_robot(self, randomize=False): + self.env._robot.establish_connection() + self.controller.reset_state() + self.env.reset(randomize=randomize) + + def get_user_feedback(self): + info = self.controller.get_info() + return deepcopy(info) + + def enable_advanced_calibration(self): + self.advanced_calibration = True + self.env.camera_reader.enable_advanced_calibration() + + def disable_advanced_calibration(self): + self.advanced_calibration = False + self.env.camera_reader.disable_advanced_calibration() + + def set_calibration_mode(self, cam_id): + self.env.camera_reader.set_calibration_mode(cam_id) + + def set_trajectory_mode(self): + self.env.camera_reader.set_trajectory_mode() + + def collect_trajectory(self, info=None, practice=False, reset_robot=True): + self.last_traj_name = time.asctime().replace(" ", "_") + + if info is None: + info = {} + info["time"] = self.last_traj_name + info["robot_serial_number"] = "{0}-{1}".format(robot_type, robot_serial_number) + info["version_number"] = droid_version + + if practice or (not self.save_data): + save_filepath = None + recording_folderpath = None + else: + if len(self.full_cam_ids) != 6: + raise ValueError("WARNING: User is trying to collect data without all three cameras running!") + save_filepath = os.path.join(self.failure_logdir, info["time"], "trajectory.h5") + recording_folderpath = os.path.join(self.failure_logdir, info["time"], "recordings") + if not os.path.isdir(recording_folderpath): + os.makedirs(recording_folderpath) + + # Collect Trajectory # + self.traj_running = True + self.env._robot.establish_connection() + controller_info = tu.collect_trajectory( + self.env, + controller=self.controller, + metadata=info, + policy=self.policy, + obs_pointer=self.obs_pointer, + reset_robot=reset_robot, + recording_folderpath=recording_folderpath, + save_filepath=save_filepath, + wait_for_controller=True, + ) + self.traj_running = False + self.obs_pointer = {} + + # Sort Trajectory # + self.traj_saved = controller_info["success"] and (save_filepath is not None) + + if self.traj_saved: + self.last_traj_path = os.path.join(self.success_logdir, info["time"]) + os.rename(os.path.join(self.failure_logdir, info["time"]), self.last_traj_path) + + def calibrate_camera(self, cam_id, reset_robot=True): + self.traj_running = True + self.env._robot.establish_connection() + success = tu.calibrate_camera( + self.env, + cam_id, + controller=self.controller, + obs_pointer=self.obs_pointer, + wait_for_controller=True, + reset_robot=reset_robot, + ) + self.traj_running = False + self.obs_pointer = {} + return success + + def check_calibration_info(self, remove_hand_camera=False): + info_dict = check_calibration_info(self.full_cam_ids) + if remove_hand_camera: + info_dict["old"] = [cam_id for cam_id in info_dict["old"] if (hand_camera_id not in cam_id)] + return info_dict + + def get_gui_imgs(self, obs): + all_cam_ids = list(obs["image"].keys()) + all_cam_ids.sort() + + gui_images = [] + for cam_id in all_cam_ids: + img = cv2.cvtColor(obs["image"][cam_id], cv2.COLOR_BGRA2RGB) + gui_images.append(img) + + return gui_images, all_cam_ids + + def get_camera_feed(self): + if self.traj_running: + if "image" not in self.obs_pointer: + raise ValueError + obs = deepcopy(self.obs_pointer) + else: + obs = self.env.read_cameras()[0] + gui_images, cam_ids = self.get_gui_imgs(obs) + return gui_images, cam_ids + + def change_trajectory_status(self, success=False): + if (self.last_traj_path is None) or (success == self.traj_saved): + return + + save_filepath = os.path.join(self.last_traj_path, "trajectory.h5") + traj_file = h5py.File(save_filepath, "r+") + traj_file.attrs["success"] = success + traj_file.attrs["failure"] = not success + traj_file.close() + + if success: + new_traj_path = os.path.join(self.success_logdir, self.last_traj_name) + os.rename(self.last_traj_path, new_traj_path) + self.last_traj_path = new_traj_path + self.traj_saved = True + else: + new_traj_path = os.path.join(self.failure_logdir, self.last_traj_name) + os.rename(self.last_traj_path, new_traj_path) + self.last_traj_path = new_traj_path + self.traj_saved = False diff --git a/droid/user_interface/eval_gui.py b/droid/user_interface/eval_gui.py new file mode 100644 index 0000000..b7c783b --- /dev/null +++ b/droid/user_interface/eval_gui.py @@ -0,0 +1,641 @@ +from abc import ABC, abstractmethod +from datetime import date +import numpy as np + + +from tkinter import * +from droid.user_interface.gui import * +from droid.misc.time import time_ms + +import customtkinter as ctk + +ctk.set_appearance_mode("dark") # Modes: system (default), light, dark +ctk.set_default_color_theme("blue") # Themes: blue (default), dark-blue, green +ctk.DrawEngine.preferred_drawing_method = "circle_shapes" + +from droid.controllers.oculus_controller import VRPolicy +from droid.robot_env import RobotEnv +from droid.user_interface.data_collector import DataCollecter + +dir_path = os.path.dirname(os.path.realpath(__file__)) +data_dir = os.path.join(dir_path, "../../evaluation_logs") + +LAST_N_GOALS = 5 +MIDDLE_COLUMN = 4 +GOAL_IMAGE_ROW = 7 + +_DEFAULT_RESOLUTION = "1500x1200" +_ESCAPE_KEY = "" +DEFAULT_LANG_TEXT = "Enter text for language\n conditioning" + + +# create a string enum for conditioning: goal and language +class Condition: + GOAL = "goal" + LANGUAGE = "language" + + +class GoalCondPolicy(ABC): + def __init__(self): + pass + + @abstractmethod + def load_goal_imgs(self, img_dict): + """ + img_dict is a dictionary of goal images, + where the keys are the names of the cameras + """ + pass + + @abstractmethod + def load_lang(self, text): + """ + text is a string for language conditioning + """ + pass + + +class EvalGUI(ctk.CTk): + # add env args param to init that gets passed to robot env but optional + def __init__(self, policy, env=None, eval_dir=None, fullscreen=False): + super().__init__() + + if not eval_dir: + self.eval_traj_dir = os.path.join(data_dir, "evals", str(date.today())) + else: + self.eval_traj_dir = eval_dir + if not os.path.isdir(self.eval_traj_dir): + os.makedirs(self.eval_traj_dir) + + if not env: + env = RobotEnv() + + controller = VRPolicy() + robot = DataCollecter( + env=env, controller=controller, policy=policy, save_data=False, save_traj_dir=self.eval_traj_dir + ) + + self.policy = policy + self.geometry(_DEFAULT_RESOLUTION) + self.attributes("-fullscreen", fullscreen) + self.bind(_ESCAPE_KEY, lambda e: self.destroy()) + + # Prepare Relevent Items # + self.num_eval_trials = 0 + self.cam_ids = list(robot.cam_ids) + self.camera_order = np.arange(robot.num_cameras) + self.time_index = None + self.robot = robot + self.num_traj_saved = 0 + self.info = { + "current_task": "", + "eval_conditioning": [], # radio button + "user": "", + } + + self.eval_goal_dirs = [] + # populate from past goal dirs + self.fetch_goal_directories() + # list all folders in eval_traj_dir + if not os.path.isdir(self.eval_traj_dir): + os.makedirs(self.eval_traj_dir) + + # Create Resizable Container # + container = ctk.CTkFrame(master=self) + container.pack(side="top", fill="both", expand=True) + container.grid_rowconfigure(0, weight=1) + container.grid_columnconfigure(0, weight=1) + + # Organize Frame Dict # + self.frames = {} + self.curr_frame = None + for F in ( + CameraPage, + CanRobotResetPage, + CaptureGoal, + ControllerOffPage, + EnlargedImagePage, + EvalConfigurationPage, + RequestedBehaviorPage, + RobotResetPage, + ): + self.frames[F] = F(container, self) + self.frames[F].grid(row=0, column=0, sticky="nsew") + + post_reset_page = EvalConfigurationPage + self.frames[CanRobotResetPage].set_next_page(post_reset_page) + + # Listen For Robot Reset # + self.enter_presses = 0 + self.bind("", self.robot_reset, add="+") + self.refresh_enter_variable() + + # Listen For Robot Controls # + info_thread = threading.Thread(target=self.listen_for_robot_info) + info_thread.daemon = True + info_thread.start() + + # Update Camera Feed # + self.camera_feed = None + camera_thread = threading.Thread(target=self.update_camera_feed) + camera_thread.daemon = True + camera_thread.start() + + # Start Program! # + self.last_frame_change = 0 + self.show_frame(EvalConfigurationPage) + self.update_time_index() + self.mainloop() + + def show_frame(self, frame_id, refresh_page=True, wait=False): + if time.time() - self.last_frame_change < 0.1: + return + self.focus() + + self.last_frame_change = time.time() + self.curr_frame, old_frame = self.frames[frame_id], self.curr_frame + + if hasattr(old_frame, "exit_page"): + old_frame.exit_page() + if hasattr(self.curr_frame, "initialize_page") and refresh_page: + self.curr_frame.initialize_page() + + if wait: + self.after(100, self.curr_frame.tkraise) + else: + self.curr_frame.tkraise() + + if hasattr(self.curr_frame, "launch_page"): + self.after(100, self.curr_frame.launch_page) + + def swap_img_order(self, i, j): + self.camera_order[i], self.camera_order[j] = self.camera_order[j], self.camera_order[i] + + def set_img(self, i, widget=None, width=None, height=None, use_camera_order=True): + index = self.camera_order[i] if use_camera_order else i + if self.camera_feed is None: + return + else: + img = self.camera_feed[index] + img = Image.fromarray(img) + if width is not None: + img = ImageOps.contain(img, (width, height), Image.Resampling.LANCZOS) + img = ImageTk.PhotoImage(img) + widget.configure(image=img) + widget.image = img + + def get_goal_img_snapshots(self, idxs=[]): + if self.camera_feed is None: + return + else: + if not idxs: + idxs = [i for i in range(len(self.camera_feed))] + current_ts = time_ms() + eval_traj_dir = f"{self.eval_traj_dir}/goals/{current_ts}" + os.makedirs(eval_traj_dir) + for idx in idxs: + img = self.camera_feed[idx] + img = Image.fromarray(img) + # save pil image to disk + img.save(f"{eval_traj_dir}/{self.cam_ids[idx]}.png") + + self.eval_goal_dirs.append(eval_traj_dir) + self.frames[EvalConfigurationPage].update_goal_radio_btns() + self.frames[EvalConfigurationPage].toggle_capture_goal() + + def fetch_goal_directories(self): + main_goal_dir = f"{self.eval_traj_dir}/goals" + if not os.path.isdir(main_goal_dir): + os.makedirs(main_goal_dir) + + for folder in sorted(os.listdir(main_goal_dir)): + # get full path of folder + folder = os.path.join(main_goal_dir, folder) + print(f"found goal folder: {folder}") + self.eval_goal_dirs.append(folder) + + def update_time_index(self): + if self.time_index is not None: + self.time_index = (self.time_index + 1) % len(self.last_traj) + self.after(50, self.update_time_index) + + def robot_reset(self, event): + self.enter_presses += 1 + if self.enter_presses == 25: + self.enter_presses = -50 + self.frames[RobotResetPage].set_home_frame(type(self.curr_frame)) + self.show_frame(RobotResetPage) + + def refresh_enter_variable(self): + self.enter_presses = 0 + self.after(3000, self.refresh_enter_variable) + + def listen_for_robot_info(self): + last_was_false = True + controller_on = True + while True: + time.sleep(0.1) + info = self.robot.get_user_feedback() + trigger = info["success"] or info["failure"] + if info["success"] and last_was_false: + self.event_generate("<>") + if info["failure"] and last_was_false: + self.event_generate("<>") + if trigger and last_was_false: + self.event_generate("<>") + + # if info["controller_on"] < controller_on: + # self.show_frame(ControllerOffPage) + + last_was_false = not trigger + controller_on = info["controller_on"] + + def update_camera_feed(self, sleep=0.05): + while True: + try: + self.camera_feed, self.cam_ids = self.robot.get_camera_feed() + except: + pass + time.sleep(sleep) + + +class EvalConfigurationPage(ctk.CTkFrame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Update Based Off Activity # + self.controller.bind("", self.moniter_keys, add="+") + self.controller.bind("", self.moniter_keys, add="+") + + self.grid_rowconfigure((0, 1, 2, 5, 7, 13, 14), weight=1) + self.grid_columnconfigure((0, 1, 2, 5, 6, 7, 8), weight=1) + + # Title # + title_lbl = ctk.CTkLabel( + self, text="Eval Configuration", font=ctk.CTkFont(size=30, weight="bold", family="Helectiva") + ) + title_lbl.grid(row=1, column=MIDDLE_COLUMN, sticky="W") + + pos_dict = { + "goal conditioning": (6, MIDDLE_COLUMN), + } + self.conditioning_dict = defaultdict(BooleanVar) + + conditioning = ["image", "language"] + toggle_funcs = [self.toggle_capture_goal, self.toggle_text_box] + for i, key in enumerate(pos_dict): + x_pos, y_pos = pos_dict[key] + group_lbl = ctk.CTkLabel(self, text=key + ":", font=ctk.CTkFont(size=18, underline=True)) + group_lbl.grid(row=x_pos, column=y_pos, sticky="W") + + for i, key in enumerate(conditioning): + task_ckbox = ctk.CTkCheckBox( + self, text=key, variable=self.conditioning_dict[key], command=toggle_funcs[i] + ) + task_ckbox.grid(row=7 + i, column=MIDDLE_COLUMN, sticky="W") + + # Goal Conditioning # + self.goal_dir_label = ctk.CTkLabel( + self, text="last five goal directories" + ":", font=ctk.CTkFont(size=18, underline=True) + ) + + # create selectable ctk radio buttons for all items in self.eval_goal_dirs + self.radio_buttons = [] + self.selected_goal_dir_idx = IntVar() + self.update_goal_radio_btns() + + # Free Response Tasks # + # self.lang_text_lbl = ctk.CTkLabel(self, text="Enter the text for language conditioning", font=ctk.CTkFont(size=20, underline=True)) + self.lang_text = ctk.CTkTextbox(self) + self.lang_text.insert("0.0", text=DEFAULT_LANG_TEXT) + + self.toggle_text_box() + + # Ready Button # + collect_btn = ctk.CTkButton(self, text="evaluate", command=self.eval_robot, corner_radius=20) + collect_btn.grid(row=2, column=MIDDLE_COLUMN, sticky="W") + + # Create a Boolean variable to track the state of the button. + self.controller.randomize = False + + # Create a Button widget. + self.reset_randomize_btn = ctk.CTkSwitch(self, text="randomize reset", command=self.toggle_randomize_btn) + self.reset_randomize_btn.grid(row=3, column=MIDDLE_COLUMN, sticky="W") + + # Create a Button widget. + self.save_eval_trajs_btn = ctk.CTkSwitch(self, text="save evals", command=self.toggle_save_btn) + self.save_eval_trajs_btn.grid(row=4, column=MIDDLE_COLUMN, sticky="W") + # Practice Button # + self.capture_goal_btn = ctk.CTkButton( + self, + text="capture\nnew goal", + command=self.practice_robot, + ) + + def toggle_randomize_btn(self): + self.controller.randomize = not self.controller.randomize + + def toggle_save_btn(self): + self.controller.robot.save_data = not self.controller.robot.save_data + + def update_goal_radio_btns(self): + # remove the old radio buttons + for i in range(len(self.radio_buttons)): + self.radio_buttons[i].grid_forget() + self.radio_buttons = [] + for i, folder in enumerate(self.controller.eval_goal_dirs[::-1][:LAST_N_GOALS]): + # strip off everything before ../ + folder = folder.split("../")[-1] + # change self.selected_goal_dir_idx to the index of the selected radio button + self.radio_buttons.append( + ctk.CTkRadioButton( + self, text=folder, variable=self.selected_goal_dir_idx, value=i, command=self.goal_img_changed + ) + ) + + def goal_img_changed(self): + if self.controller.policy is not None: + self.controller.policy.load_goal_imgs(self.load_goal_imgs_from_dir()) + + def load_goal_imgs_from_dir(self): + goal_img_dir = self.controller.eval_goal_dirs[::-1][self.selected_goal_dir_idx.get()] + goal_imgs = {} + for img in os.listdir(goal_img_dir): + # get full path of image + img = os.path.join(goal_img_dir, img) + # load image with key + try: + # for key extract the png file name + img_key = img.split("/")[-1].split(".")[0] + goal_imgs[img_key] = np.array(Image.open(img)) + except: + print(f"could not load image: {img}") + return goal_imgs + + def place_image_gc_elements(self): + self.goal_dir_label.grid(row=GOAL_IMAGE_ROW, column=5) + for i in range(len(self.radio_buttons)): + self.radio_buttons[i].grid(row=GOAL_IMAGE_ROW + i + 1, column=5) + self.capture_goal_btn.grid(row=GOAL_IMAGE_ROW + 1 + len(self.radio_buttons), column=5) + + def forget_image_gc_elements(self): + self.goal_dir_label.grid_forget() + for i in range(len(self.radio_buttons)): + self.radio_buttons[i].grid_forget() + self.capture_goal_btn.grid_forget() + + def toggle_text_box(self): + if self.conditioning_dict["language"].get(): + self.lang_text.grid(row=8, column=5) + else: + self.lang_text.grid_forget() + + def toggle_capture_goal(self): + if self.conditioning_dict["image"].get(): + self.place_image_gc_elements() + else: + self.forget_image_gc_elements() + + def moniter_keys(self, event): + if self.controller.curr_frame != self: + return + + # Toggle Camera View + if event.keysym in ["Shift_L", "Shift_R"]: + self.controller.frames[CameraPage].set_home_frame(SceneConfigurationPage) + self.controller.show_frame(CameraPage, wait=True) + + def practice_robot(self): + self.controller.frames[CaptureGoal].set_mode("practice_traj") + self.controller.show_frame(CaptureGoal, wait=True) + + def eval_robot(self): + # set the goal conditioning + if self.controller.policy is not None: + self.controller.policy.load_lang(self.lang_text.get("1.0", "end-1c")) + + if self.controller.eval_goal_dirs: + print(f"goal img dir: {self.controller.eval_goal_dirs[::-1][self.selected_goal_dir_idx.get()]}") + + self.controller.frames[CaptureGoal].set_mode("traj") + self.controller.show_frame(CaptureGoal, wait=True) + + +class CaptureGoal(ctk.CTkFrame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + self.n_rows = 1 if len(self.controller.camera_order) <= 2 else 2 + self.n_cols = math.ceil(len(self.controller.camera_order) / self.n_rows) + + # Moniter Key Events # + self.controller.bind("", self.moniter_keys, add="+") + self.controller.bind("<>", self.moniter_keys, add="+") + + # Page Variables # + self.title_str = StringVar() + self.instr_str = StringVar() + self.mode = "live" + + # Title # + title_lbl = ctk.CTkLabel(self, textvariable=self.title_str, font=ctk.CTkFont(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.02, anchor="n") + + # Instructions # + instr_lbl = ctk.CTkLabel(self, textvariable=self.instr_str, font=ctk.CTkFont(size=24, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.06, anchor="n") + + # Timer # + self.timer_on = False + self.time_str = StringVar() + self.timer = ctk.CTkButton( + self, + textvariable=self.time_str, + # border_color="black", + # border_spacing=3, + font=ctk.CTkFont(size=40, weight="bold"), + # border_width=10, + ) + + # Image Variables # + self.image_boxes = [] + + # Create Image Grid # + for i in range(self.n_rows): + self.rowconfigure(i, weight=1) + for j in range(self.n_cols): + if (i * self.n_cols + j) >= len(self.controller.camera_order): + continue + self.columnconfigure(j, weight=1) + + # Add Image Box # + button = tk.Button( + self, height=0, width=0, command=lambda idx=(i * self.n_cols + j): self.update_image_grid(idx) + ) + button.grid(row=i, column=j, sticky="s" if self.n_rows > 1 else "") + self.image_boxes.append(button) + + # Start Image Thread # + camera_thread = threading.Thread(target=lambda idx=(i * self.n_cols + j): self.update_camera_feed(idx)) + camera_thread.daemon = True + camera_thread.start() + + # if the mode is capture goal, add capture button + self.capture_goal_btn = ctk.CTkButton( + self, + text="Capture", + # highlightbackground="red", + font=ctk.CTkFont(size=30, weight="bold"), + # border_width=10, + command=lambda save=False: self.controller.get_goal_img_snapshots(), + ) + + self.clicked_ids = [] + # select all cameras by default + if self.mode != "traj": + self.capture_goal_btn.place(relx=0.45, rely=0.55) + for i in range(0, len(self.controller.camera_order)): + self.update_image_grid(i) + + # Moniter Key Events only when this page is shown# + self.controller.bind("<>", self.press_A, add="+") + self.controller.bind("<>", self.press_B, add="+") + + def is_page_inactive(self): + zoom = self.controller.frames[EnlargedImagePage] + page_inactive = self.controller.curr_frame not in [self, zoom] + return page_inactive + + def press_A(self, event): + if self.is_page_inactive() or self.mode == "traj": + return + self.controller.get_goal_img_snapshots() + + def press_B(self, event): + if self.is_page_inactive() or self.mode == "traj": + return + self.controller.show_frame(EvalConfigurationPage) + + def update_image_grid(self, i): + if i not in self.clicked_ids: + self.clicked_ids.append(i) + else: + self.clicked_ids.remove(i) + + def update_camera_feed(self, i, w_coeff=1.0, h_coeff=1.0): + while True: + not_active = self.controller.curr_frame != self + not_ready = len(self.controller.camera_order) != len(self.controller.cam_ids) + if not_active or not_ready: + time.sleep(0.05) + continue + + w, h = max(self.winfo_width(), 100), max(self.winfo_height(), 100) + img_w = int(w / self.n_cols * w_coeff) + img_h = int(h / self.n_rows * h_coeff) + + self.controller.set_img(i, widget=self.image_boxes[i], width=img_w, height=img_h) + + def moniter_keys(self, event): + zoom = self.controller.frames[EnlargedImagePage] + page_inactive = self.controller.curr_frame not in [self, zoom] + if page_inactive: + return + + shift = event.keysym in ["Shift_L", "Shift_R"] + + if self.mode == "live" and shift: + self.controller.show_frame(self.home_frame, refresh_page=False) + + def initialize_page(self): + # Clear Widges # + self.timer.place_forget() + + # Update Text # + if self.mode != "traj": + self.title_str.set("Goal Conditioning") + self.instr_str.set("press A to capture goal\n press B to go back to eval configuration page") + else: + self.title_str.set("Evaluating") + if self.controller.robot.save_data: + self.instr_str.set("press A to save eval as success\n press B to save eval as failure") + else: + self.instr_str.set("press A or B to exit eval") + + # Add Mode Specific Stuff # + if "traj" in self.mode: + self.controller.robot.reset_robot(randomize=self.controller.randomize) + + self.timer.place(relx=0.79, rely=0.01) + self.update_timer(time.time()) + + traj_thread = threading.Thread(target=self.collect_trajectory) + traj_thread.daemon = True + traj_thread.start() + + def collect_trajectory(self): + info = self.controller.info.copy() + practice = self.mode == "practice_traj" + if self.mode != "traj": + self.controller.robot.policy = None + else: + self.controller.robot.policy = self.controller.policy + self.controller.robot.collect_trajectory(info=info, practice=practice, reset_robot=False) + + self.end_trajectory() + + def update_timer(self, start_time): + time_passed = time.time() - start_time + zoom = self.controller.frames[EnlargedImagePage] + page_inactive = self.controller.curr_frame not in [self, zoom] + hide_timer = "traj" not in self.mode + if page_inactive or hide_timer: + return + + minutes_str = str(int(time_passed / 60)) + curr_seconds = int(time_passed) % 60 + + if curr_seconds < 10: + seconds_str = "0{0}".format(curr_seconds) + else: + seconds_str = str(curr_seconds) + + if not self.controller.robot.traj_running: + start_time = time.time() + + self.time_str.set("{0}:{1}".format(minutes_str, seconds_str)) + self.controller.after(100, lambda: self.update_timer(start_time)) + + def end_trajectory(self): + save = self.controller.robot.traj_saved + practice = self.mode == "practice_traj" + + # Update Based Off Success / Failure # + if practice: + pass + elif save: + self.controller.num_traj_saved += 1 + else: + self.controller.frames[RequestedBehaviorPage].keep_last_task() + + # Check For Scene Changes # + self.controller.show_frame(CanRobotResetPage) + + def set_home_frame(self, frame): + self.home_frame = frame + + def set_mode(self, mode): + self.mode = mode + if self.mode == "traj": + self.capture_goal_btn.place_forget() + else: + self.capture_goal_btn.place(relx=0.45, rely=0.55) + + def edit_trajectory(self, save): + if save: + self.controller.robot.save_trajectory() + else: + self.controller.robot.delete_trajectory() + self.controller.show_frame(RequestedBehaviorPage) diff --git a/droid/user_interface/gui.py b/droid/user_interface/gui.py new file mode 100644 index 0000000..44e9920 --- /dev/null +++ b/droid/user_interface/gui.py @@ -0,0 +1,1415 @@ +# Tkinter Imports # +import math +import random +import threading +import time +import tkinter as tk +import webbrowser + +# Functionality Imports # +from collections import defaultdict +from tkinter import * +from tkinter.font import * +from tkinter.ttk import * + +import numpy as np +from PIL import Image, ImageOps, ImageTk + +# Internal Imports # +from droid.camera_utils.info import get_camera_name +from droid.misc.parameters import robot_ip +from droid.user_interface.gui_parameters import * +from droid.user_interface.misc import * +from droid.user_interface.text import * + + +class RobotGUI(tk.Tk): + def __init__(self, robot=None, fullscreen=False): + # Initialize # + super().__init__() + self.geometry("1500x1200") + self.attributes("-fullscreen", fullscreen) + self.bind("", lambda e: self.destroy()) + + # Prepare Relevent Items # + self.num_traj_saved = 0 + self.cam_ids = list(robot.cam_ids) + self.camera_order = np.arange(robot.num_cameras) + self.time_index = None + self.robot = robot + self.info = { + "user": "", + "fixed_tasks": [], + "new_tasks": [], + "current_task": "", + } + + # Create Resizable Container # + container = tk.Frame(self) + container.pack(side="top", fill="both", expand=True) + container.grid_rowconfigure(0, weight=1) + container.grid_columnconfigure(0, weight=1) + + # Organize Frame Dict # + self.frames = {} + self.curr_frame = None + for F in ( + LoginPage, + RobotResetPage, + CanRobotResetPage, + ControllerOffPage, + PreferredTasksPage, + SceneConfigurationPage, + CameraPage, + EnlargedImagePage, + RequestedBehaviorPage, + SceneChangesPage, + CalibrationPage, + CalibrateCamera, + IncompleteCalibration, + OldCalibration, + OldScene, + ): + self.frames[F] = F(container, self) + self.frames[F].grid(row=0, column=0, sticky="nsew") + + # Listen For Robot Reset # + self.enter_presses = 0 + self.bind("", self.robot_reset, add="+") + self.refresh_enter_variable() + + # Listen For Robot Controls # + info_thread = threading.Thread(target=self.listen_for_robot_info) + info_thread.daemon = True + info_thread.start() + + # Update Camera Feed # + self.camera_feed = None + camera_thread = threading.Thread(target=self.update_camera_feed) + camera_thread.daemon = True + camera_thread.start() + + # Start Program! # + self.last_frame_change = 0 + self.show_frame(LoginPage) + self.update_time_index() + self.mainloop() + + def show_frame(self, frame_id, refresh_page=True, wait=False): + if time.time() - self.last_frame_change < 0.1: + return + self.focus() + + self.last_frame_change = time.time() + self.curr_frame, old_frame = self.frames[frame_id], self.curr_frame + + if hasattr(old_frame, "exit_page"): + old_frame.exit_page() + if hasattr(self.curr_frame, "initialize_page") and refresh_page: + self.curr_frame.initialize_page() + + if wait: + self.after(100, self.curr_frame.tkraise) + else: + self.curr_frame.tkraise() + + if hasattr(self.curr_frame, "launch_page"): + self.after(100, self.curr_frame.launch_page) + + def swap_img_order(self, i, j): + self.camera_order[i], self.camera_order[j] = self.camera_order[j], self.camera_order[i] + + def set_img(self, i, widget=None, width=None, height=None, use_camera_order=True): + index = self.camera_order[i] if use_camera_order else i + if self.camera_feed is None: + return + else: + img = self.camera_feed[index] + img = Image.fromarray(img) + if width is not None: + img = ImageOps.contain(img, (width, height), Image.Resampling.LANCZOS) + img = ImageTk.PhotoImage(img) + widget.configure(image=img) + widget.image = img + + def update_time_index(self): + if self.time_index is not None: + self.time_index = (self.time_index + 1) % len(self.last_traj) + self.after(50, self.update_time_index) + + def robot_reset(self, event): + self.enter_presses += 1 + if self.enter_presses == 25: + self.enter_presses = -50 + self.frames[RobotResetPage].set_home_frame(type(self.curr_frame)) + self.show_frame(RobotResetPage) + + def refresh_enter_variable(self): + self.enter_presses = 0 + self.after(3000, self.refresh_enter_variable) + + def listen_for_robot_info(self): + last_was_false = True + controller_on = True + while True: + time.sleep(0.1) + info = self.robot.get_user_feedback() + trigger = info["success"] or info["failure"] + if info["success"] and last_was_false: + self.event_generate("<>") + if info["failure"] and last_was_false: + self.event_generate("<>") + if trigger and last_was_false: + self.event_generate("<>") + + if info["controller_on"] < controller_on: + self.show_frame(ControllerOffPage) + + last_was_false = not trigger + controller_on = info["controller_on"] + + def update_camera_feed(self, sleep=0.05): + while True: + try: + self.camera_feed, self.cam_ids = self.robot.get_camera_feed() + except: + pass + time.sleep(sleep) + + +# Start up page +class LoginPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + self.curr_scene_id = None + self.gui_info = load_gui_info() + + # load name, building, and scene ID + + # Title # + title_lbl = Label(self, text="Login Page", font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.05, anchor="n") + + # Warning # + self.warning_text = StringVar() + self.warning_text.set("Please use consistent spelling!") + instr_lbl = Label(self, textvariable=self.warning_text, font=Font(size=20)) + instr_lbl.place(relx=0.5, rely=0.1, anchor="n") + + # Request Name # + self.user = StringVar() + if "user" in self.gui_info: + self.user.set(self.gui_info["user"]) + name_lbl = Label(self, text="Full Name:", font=Font(size=15, underline=True)) + name_lbl.place(relx=0.5, rely=0.22, anchor="n") + self.name_entry = tk.Entry(self, textvariable=self.user, width=35, font=Font(size=15)) + self.name_entry.place(relx=0.5, rely=0.25, anchor="n") + + # Request Building # + self.building = StringVar() + if "building" in self.gui_info: + self.building.set(self.gui_info["building"]) + building_lbl = Label(self, text="Building:", font=Font(size=15, underline=True)) + building_lbl.place(relx=0.5, rely=0.32, anchor="n") + self.building_entry = tk.Entry(self, textvariable=self.building, width=35, font=Font(size=15)) + self.building_entry.place(relx=0.5, rely=0.35, anchor="n") + + # New Scene Button # + scene_change_lbl = Label(self, text="Has The Scene Changed?", font=Font(size=15, underline=True)) + scene_change_lbl.place(relx=0.5, rely=0.42, anchor="n") + + yes_btn = tk.Button( + self, + text="Yes", + highlightbackground="Red", + font=Font(size=15, weight="bold"), + width=2, + height=2, + borderwidth=10, + command=self.click_yes, + ) + yes_btn.place(relx=0.47, rely=0.45, anchor="n") + + no_btn = tk.Button( + self, + text="No", + highlightbackground="Blue", + font=Font(size=15, weight="bold"), + width=2, + height=2, + borderwidth=10, + command=self.click_no, + ) + no_btn.place(relx=0.53, rely=0.45, anchor="n") + + # Begin Button # + begin_btn = tk.Button( + self, + text="BEGIN", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=self.check_completeness, + ) + begin_btn.place(relx=0.5, rely=0.8, anchor=CENTER) + + def click_yes(self): + self.curr_scene_id = generate_scene_id() + + def click_no(self): + self.curr_scene_id = self.gui_info["scene_id"] + + def check_completeness(self): + name = self.user.get() + building = self.building.get() + name_num_words = len([x for x in name.split(" ") if x != ""]) + name_correct = (name_num_words >= 2) and (missing_name_text not in name) + building_correct = len(building) >= 3 + if not name_correct: + self.user.set(missing_name_text) + elif not building_correct: + self.building.set(missing_building_text) + elif self.curr_scene_id is None: + self.warning_text.set("Please mark the scene as new or old") + else: + self.controller.info["user"] = name + self.controller.info["building"] = building + self.controller.info["scene_id"] = self.curr_scene_id + update_gui_info(user=name, building=building, scene_id=self.curr_scene_id) + self.controller.show_frame(SceneConfigurationPage) + + +class RobotResetPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + title_lbl = Label(self, text="Resetting Robot...", font=Font(size=30, weight="bold")) + title_lbl.pack(pady=15) + + description_lbl = Label(self, text="Please stand by :)", font=Font(size=18)) + description_lbl.pack(pady=5) + + def launch_page(self): + self.controller.robot.reset_robot() + self.controller.show_frame(self.home_frame) + + def set_home_frame(self, frame): + self.home_frame = frame + + +class CanRobotResetPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + self.controller.bind("<>", self.moniter_keys, add="+") + + self.title_str = StringVar() + self.instr_str = StringVar() + + title_lbl = Label(self, text="Proceed With Robot Reset?", font=Font(size=30, weight="bold")) + title_lbl.pack(pady=15) + + description_lbl = Label(self, text="Press 'A' when ready", font=Font(size=18)) + description_lbl.pack(pady=5) + + def set_next_page(self, page): + self.next_page = page + + def moniter_keys(self, event): + if self.controller.curr_frame != self: + return + self.controller.frames[RobotResetPage].set_home_frame(self.next_page) + self.controller.show_frame(RobotResetPage) + + +class ControllerOffPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + self.controller.bind("", self.moniter_keys, add="+") + + title_lbl = Label(self, text="WARNING: Controller off", font=Font(size=30, weight="bold")) + title_lbl.pack(pady=15) + + description_lbl = Label(self, text=controller_off_msg, font=Font(size=18)) + description_lbl.pack(pady=5) + + def moniter_keys(self, event): + if self.controller.curr_frame != self: + return + self.controller.show_frame(LoginPage) + + +class CalibrationPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Title # + how_to_title_lbl = Label(self, text="Calibration Hub", font=Font(size=30, weight="bold")) + how_to_title_lbl.pack(pady=5) + + # Warning # + instr_lbl = tk.Label(self, text=color_spectrum_explantion, font=Font(size=20, slant="italic")) + instr_lbl.pack(pady=5) + + # How To Text # + how_to_text_lbl = Label(self, text=how_to_calibrate_text, font=Font(size=18)) + how_to_text_lbl.pack(pady=20) + + longest_name = max([len(get_camera_name(cam_id)) for cam_id in controller.cam_ids]) + + self.button_dict = {} + for i in range(len(controller.cam_ids)): + cam_id = controller.cam_ids[i] + cam_name = get_camera_name(cam_id) + + camera_btn = tk.Button( + self, + text=cam_name, + font=Font(size=30, weight="bold"), + width=longest_name, + command=lambda cam_idx=cam_id: self.calibrate_camera(cam_idx), + borderwidth=10, + ) + camera_btn.place(relx=0.5, rely=0.5 + i * 0.08, anchor="n") + self.button_dict[cam_id] = camera_btn + + # Back Button # + back_btn = tk.Button( + self, + text="BACK", + highlightbackground="white", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(SceneConfigurationPage), + ) + back_btn.place(relx=0.5, rely=0.9, anchor="n") + + # Calibration Mode Buttons # + self.standard_btn = tk.Button( + self, + text="Standard Mode", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: self.change_calibration_mode(False), + ) + self.standard_btn.place(relx=0.15, rely=0.02, anchor="n") + + self.advanced_btn = tk.Button( + self, + text="Advanced Mode", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: self.change_calibration_mode(True), + ) + self.advanced_btn.place(relx=0.85, rely=0.02, anchor="n") + + def change_calibration_mode(self, advanced_on): + if advanced_on: + self.controller.robot.enable_advanced_calibration() + self.standard_btn.configure(highlightbackground="red") + self.advanced_btn.configure(highlightbackground="green") + else: + self.controller.robot.disable_advanced_calibration() + self.standard_btn.configure(highlightbackground="green") + self.advanced_btn.configure(highlightbackground="red") + + def calibrate_camera(self, cam_id): + self.controller.robot.set_calibration_mode(cam_id) + long_wait = self.controller.robot.advanced_calibration + time.sleep(5.0 if long_wait else 0.1) + + self.controller.frames[CalibrateCamera].set_camera_id(cam_id) + self.controller.show_frame(CalibrateCamera, wait=True) + + def initialize_page(self): + info_dict = self.controller.robot.check_calibration_info() + for cam_id in self.button_dict.keys(): + is_missing = any([cam_id in missing_id for missing_id in info_dict["missing"]]) + is_old = any([cam_id in old_id for old_id in info_dict["old"]]) + if is_missing: + color = "red" + elif is_old: + color = "blue" + else: + color = "black" + + self.button_dict[cam_id].config(highlightbackground=color) + + def exit_page(self): + if self.controller.curr_frame != self.controller.frames[CalibrateCamera]: + self.controller.robot.set_trajectory_mode() + + +class IncompleteCalibration(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Title # + how_to_title_lbl = Label(self, text="Calibration Incomplete", font=Font(size=30, weight="bold")) + how_to_title_lbl.pack(pady=5) + + # Warning # + instr_lbl = tk.Label(self, text=missing_calibration_text, font=Font(size=20, slant="italic")) + instr_lbl.pack(pady=5) + + # Back Button # + back_btn = tk.Button( + self, + text="CALIBRATE", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(CalibrationPage), + ) + back_btn.place(relx=0.5, rely=0.5, anchor="n") + + +class OldCalibration(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Title # + how_to_title_lbl = Label(self, text="Calibration Warning", font=Font(size=30, weight="bold")) + how_to_title_lbl.pack(pady=5) + + # Warning # + instr_lbl = tk.Label(self, text=old_calibration_text, font=Font(size=20, slant="italic")) + instr_lbl.pack(pady=5) + + # Back Button # + back_btn = tk.Button( + self, + text="CALIBRATE", + highlightbackground="blue", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(CalibrationPage), + ) + back_btn.place(relx=0.4, rely=0.5, anchor="n") + + # Proceed Button # + proceed_btn = tk.Button( + self, + text="PROCEED", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(RequestedBehaviorPage), + ) + proceed_btn.place(relx=0.6, rely=0.5, anchor="n") + + +class OldScene(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Title # + how_to_title_lbl = Label(self, text="Scene Warning", font=Font(size=30, weight="bold")) + how_to_title_lbl.pack(pady=5) + + # Warning # + instr_lbl = tk.Label(self, text=old_scene_text, font=Font(size=20, slant="italic")) + instr_lbl.pack(pady=5) + + # Back Button # + back_btn = tk.Button( + self, + text="BACK", + highlightbackground="blue", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(SceneConfigurationPage), + ) + back_btn.place(relx=0.4, rely=0.5, anchor="n") + + # Proceed Button # + proceed_btn = tk.Button( + self, + text="PROCEED", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(RequestedBehaviorPage), + ) + proceed_btn.place(relx=0.6, rely=0.5, anchor="n") + + +class PreferredTasksPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + self.controller.bind("", self.moniter_keys, add="+") + + # Title # + title_lbl = Label(self, text="Preferred Tasks", font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.05, anchor="n") + + # Shift Instructions # + instr_lbl = tk.Label(self, text=preferred_task_text, font=Font(size=20, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.1, anchor="n") + + # Fixed Task Selection # + pos_dict = { + "Articulated Tasks": (0.05, 0.2), + "Free Object Tasks": (0.05, 0.4), + "Tool Usage Tasks": (0.55, 0.2), + "Deformable Object Tasks": (0.55, 0.4), + } + + for key in preferred_tasks.keys(): + x_pos, y_pos = pos_dict[key] + group_lbl = tk.Label(self, text=key + ":", font=Font(size=20, underline=True)) + group_lbl.place(relx=x_pos, rely=y_pos) + for i, task in enumerate(preferred_tasks[key]): + task_ckbox = tk.Checkbutton(self, text=task, font=Font(size=15), variable=BooleanVar()) + task_ckbox.place(relx=x_pos + 0.01, rely=y_pos + (i + 1) * 0.04) + + # Free Response Tasks # + notes_lbl = tk.Label(self, text="Personal Notes:", font=Font(size=20, underline=True)) + notes_lbl.place(relx=0.05, rely=0.6) + + self.notes_txt = tk.Text(self, height=15, width=65, font=Font(size=15)) + self.notes_txt.place(relx=0.05, rely=0.64) + + # Back Button # + back_btn = tk.Button( + self, + text="BACK", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(SceneConfigurationPage), + ) + back_btn.place(relx=0.7, rely=0.75) + + def moniter_keys(self, event): + if self.controller.curr_frame != self: + return + + # Toggle Camera View + if event.keysym in ["Shift_L", "Shift_R"]: + self.controller.frames[CameraPage].set_home_frame(PreferredTasksPage) + self.controller.show_frame(CameraPage, wait=True) + + def initialize_page(self): + self.notes_txt.focus() + + +class SceneConfigurationPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Update Based Off Activity # + self.controller.bind("", self.moniter_keys, add="+") + self.controller.bind("", self.moniter_keys, add="+") + + # Title # + title_lbl = Label(self, text="Scene Configuration", font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.05, anchor="n") + + # Button Box # + bx, by = 0.12, 0.045 + box_lbl = tk.Button( + self, text=" " * 25, highlightbackground="blue", font=Font(slant="italic", weight="bold"), padx=12, pady=40 + ) + box_lbl.place(relx=bx, rely=by, anchor="n") + + # Task Ideas Button # + ideas_btn = tk.Button(self, text="Task Ideas", font=Font(weight="bold"), height=1, width=16) + ideas_btn.bind("", lambda e: webbrowser.open_new(task_ideas_link)) + ideas_btn.place(relx=bx, rely=by + 0.005, anchor="n") + + # Preferred Tasks Button # + preferred_tasks_btn = tk.Button( + self, + text="Preferred Tasks", + font=Font(weight="bold"), + height=1, + width=16, + command=lambda: controller.show_frame(PreferredTasksPage), + ) + preferred_tasks_btn.place(relx=bx, rely=by + 0.035, anchor="n") + + # Franka Website Button # + franka_btn = tk.Button(self, text="Franka Website", font=Font(weight="bold"), height=1, width=16) + franka_btn.bind("", lambda e: webbrowser.open_new("https://{0}/desk/".format(robot_ip))) + franka_btn.place(relx=bx, rely=by + 0.065, anchor="n") + + # Shift Instructions # + instr_lbl = tk.Label(self, text=shift_text, font=Font(size=20, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.1, anchor="n") + + # Fixed Task Selection # + self.task_dict = defaultdict(BooleanVar) + pos_dict = { + "Articulated Tasks": (0.005, 0.2), + "Free Object Tasks": (0.005, 0.4), + "Tool Usage Tasks": (0.51, 0.2), + "Deformable Object Tasks": (0.51, 0.4), + } + + for key in all_tasks.keys(): + x_pos, y_pos = pos_dict[key] + group_lbl = tk.Label(self, text=key + ":", font=Font(size=20, underline=True)) + group_lbl.place(relx=x_pos, rely=y_pos) + for i, task in enumerate(all_tasks[key]): + task_ckbox = tk.Checkbutton(self, text=task, font=Font(size=15), variable=self.task_dict[task]) + task_ckbox.place(relx=x_pos + 0.01, rely=y_pos + (i + 1) * 0.04) + + # Free Response Tasks # + group_lbl = tk.Label(self, text=freewrite_text, font=Font(size=20, underline=True)) + group_lbl.place(relx=0.01, rely=0.6) + + self.task_txt = tk.Text(self, height=15, width=65, font=Font(size=15)) + self.task_txt.place(relx=0.02, rely=0.64) + + # Ready Button # + collect_btn = tk.Button( + self, + text="COLLECT", + highlightbackground="green", + font=Font(size=30, weight="bold"), + height=1, + width=8, + borderwidth=10, + command=self.finish_setup, + ) + collect_btn.place(relx=0.75, rely=0.68) + + # Practice Button # + practice_btn = tk.Button( + self, + text="PRACTICE", + highlightbackground="red", + font=Font(size=30, weight="bold"), + height=1, + width=8, + borderwidth=10, + command=self.practice_robot, + ) + practice_btn.place(relx=0.75, rely=0.82) + + # New Scene Button # + new_scene_btn = tk.Button( + self, + text="NEW SCENE", + highlightbackground="black", + font=Font(size=30, weight="bold"), + height=1, + width=8, + borderwidth=10, + command=self.mark_new_scene, + ) + new_scene_btn.place(relx=0.55, rely=0.68) + + # Calibrate Button # + calibrate_btn = tk.Button( + self, + text="CALIBRATE", + highlightbackground="blue", + font=Font(size=30, weight="bold"), + height=1, + width=8, + borderwidth=10, + command=lambda: self.controller.show_frame(CalibrationPage), + ) + calibrate_btn.place(relx=0.55, rely=0.82) + + def moniter_keys(self, event): + if self.controller.curr_frame != self: + return + + # Toggle Camera View + if event.keysym in ["Shift_L", "Shift_R"]: + self.controller.frames[CameraPage].set_home_frame(SceneConfigurationPage) + self.controller.show_frame(CameraPage, wait=True) + + # Update Fixed Tasks # + self.controller.info["fixed_tasks"] = [] + for task, val in self.task_dict.items(): + if val.get(): + self.controller.info["fixed_tasks"].append(task) + + # Update New Tasks # + self.controller.info["new_tasks"] = self.get_new_tasks() + + def finish_setup(self): + # Check tasks are filled out # + fixed_tasks = self.controller.info["fixed_tasks"] + new_tasks = self.controller.info["new_tasks"] + if len(fixed_tasks) + len(new_tasks) == 0: + self.task_txt.delete("1.0", END) + self.task_txt.insert(1.0, no_tasks_text) + return + + # Check that cameras are calibrated # + calib_info_dict = self.controller.robot.check_calibration_info(remove_hand_camera=True) + if len(calib_info_dict["missing"]) > 0: + self.controller.show_frame(IncompleteCalibration) + return + if len(calib_info_dict["old"]) > 0: + self.controller.show_frame(OldCalibration) + return + + # Check that scene isn't stale # + last_scene_change = load_gui_info()["scene_id_timestamp"] + stale_scene = (time.time() - last_scene_change) > 3600 + if stale_scene: + self.controller.show_frame(OldScene) + return + + # If everything is okay, proceed + self.controller.show_frame(RequestedBehaviorPage) + + def mark_new_scene(self): + new_scene_id = generate_scene_id() + self.controller.info["scene_id"] = new_scene_id + update_gui_info(scene_id=new_scene_id) + + def get_new_tasks(self): + new_tasks = self.task_txt.get("1.0", END).replace("\n", "") + new_tasks = new_tasks.replace(no_tasks_text, "").split(";") + new_tasks = [t for t in new_tasks if (not t.isspace() and len(t))] + return new_tasks + + def practice_robot(self): + self.controller.frames[CameraPage].set_mode("practice_traj") + self.controller.show_frame(CameraPage, wait=True) + + def initialize_page(self): + self.controller.frames[CameraPage].set_mode("live") + self.task_txt.focus() + + +class RequestedBehaviorPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + self.keep_task = False + + # Title # + title_lbl = Label(self, text="Requested Behavior", font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.05, anchor="n") + + # Task # + self.task_text = StringVar() + task_lbl = Label(self, textvariable=self.task_text, font=Font(size=30)) + task_lbl.place(relx=0.5, rely=0.4, anchor="center") + + # Instructions # + instr_lbl = tk.Label(self, text="Press 'A' to begin, or 'B' to resample", font=Font(size=20, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.1, anchor="n") + + # Change Status Box # + bx, by = 0.15, 0.045 + box_lbl = tk.Button(self, text=" " * 48, highlightbackground="black", pady=26) + box_lbl.place(relx=bx, rely=by, anchor="n") + + success_btn = tk.Button( + self, + text="Relabel Last Trajectory As Success", + font=Font(weight="bold"), + highlightbackground="green", + height=1, + width=32, + ) + success_btn.bind("", lambda e: self.change_trajectory_status(True)) + success_btn.place(relx=bx, rely=by + 0.005, anchor="n") + + failure_btn = tk.Button( + self, + text="Relabel Last Trajectory As Failure", + font=Font(weight="bold"), + highlightbackground="red", + height=1, + width=32, + ) + failure_btn.bind("", lambda e: self.change_trajectory_status(False)) + failure_btn.place(relx=bx, rely=by + 0.035, anchor="n") + + # Resample Button # + resample_btn = tk.Button( + self, + text="RESAMPLE", + highlightbackground="blue", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: self.resample(None), + ) + resample_btn.place(relx=0.5, rely=0.7) + + # Back Button # + back_btn = tk.Button( + self, + text="BACK", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(SceneConfigurationPage), + ) + back_btn.place(relx=0.4, rely=0.7) + + # Update Based Off Activity # + controller.bind("<>", self.start_trajectory, add="+") + controller.bind("<>", self.resample, add="+") + + def change_trajectory_status(self, success): + if self.controller.curr_frame != self: + return + self.controller.num_traj_saved += success - (1 - success) + self.controller.robot.change_trajectory_status(success=success) + + def resample(self, e): + if self.controller.curr_frame != self: + return + self.sample_new_task() + + def initialize_page(self): + self.controller.frames[CameraPage].set_mode("traj") + if not self.keep_task: + self.sample_new_task() + else: + self.keep_task = False + + def sample_new_task(self): + if np.random.uniform() < compositional_task_prob: + task = self.sample_compositional_task() + else: + task = self.sample_single_task() + + self.controller.info["current_task"] = task + self.task_text.set(task) + self.controller.update_idletasks() + + def sample_compositional_task(self): + comp_type = np.random.randint(4) + tasks = [self.sample_single_task() for i in range(comp_type)] + return compositional_tasks[comp_type](*tasks) + + def sample_single_task(self): + fixed_tasks = self.controller.info["fixed_tasks"] + ft_weight = np.array([self.get_task_weight(t) for t in fixed_tasks]) + ft_weight = (ft_weight / ft_weight.sum()) * (1 - new_task_prob) + + new_tasks = self.controller.info["new_tasks"] + nt_weight = (np.ones(len(new_tasks)) / len(new_tasks)) * new_task_prob + + tasks = fixed_tasks + new_tasks + weights = np.concatenate([ft_weight, nt_weight]) + + return random.choices(tasks, weights=weights)[0] + + def get_task_weight(self, task): + task_type = [t for t in task_weights.keys() if t in task] + assert len(task_type) == 1 + return task_weights[task_type[0]] + + def start_trajectory(self, event): + if self.controller.curr_frame != self: + return + self.controller.show_frame(CameraPage, wait=True) + + def keep_last_task(self): + self.keep_task = True + + +class SceneChangesPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Title # + title_lbl = Label(self, text="Requested Scene Changes", font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.05, anchor="n") + + # Shift Instructions # + instr_lbl = tk.Label(self, text=shift_text, font=Font(size=20, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.1, anchor="n") + self.controller.bind("", self.show_camera_feed, add="+") + + # Changes # + self.change_text = StringVar() + change_lbl = Label(self, textvariable=self.change_text, font=Font(size=30)) + change_lbl.place(relx=0.5, rely=0.4, anchor="center") + + # Resample Button # + resample_btn = tk.Button( + self, + text="RESAMPLE", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=self.sample_change, + ) + resample_btn.place(relx=0.34, rely=0.7) + + # Ready Button # + ready_btn = tk.Button( + self, + text="DONE", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: self.controller.show_frame(SceneConfigurationPage), + ) + ready_btn.place(relx=0.54, rely=0.7) + + def show_camera_feed(self, event): + if self.controller.curr_frame != self: + return + if event.keysym in ["Shift_L", "Shift_R"]: + self.controller.frames[CameraPage].set_home_frame(SceneChangesPage) + self.controller.show_frame(CameraPage, wait=True) + + def sample_change(self): + num_traj = self.controller.num_traj_saved + move_robot = (num_traj % move_robot_frequency == 0) and (num_traj > 0) + + if move_robot: + curr_text = move_robot_text + else: + curr_text = random.choice(scene_changes) + self.change_text.set(curr_text) + self.controller.update_idletasks() + + def initialize_page(self): + self.controller.frames[CameraPage].set_mode("live") + self.sample_change() + + +class CameraPage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + self.n_rows = 1 if len(self.controller.camera_order) <= 2 else 2 + self.n_cols = math.ceil(len(self.controller.camera_order) / self.n_rows) + + # Moniter Key Events # + self.controller.bind("", self.moniter_keys, add="+") + self.controller.bind("<>", self.moniter_keys, add="+") + + # Page Variables # + self.title_str = StringVar() + self.instr_str = StringVar() + self.mode = "live" + + # Title # + title_lbl = Label(self, textvariable=self.title_str, font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.02, anchor="n") + + # Instructions # + instr_lbl = tk.Label(self, textvariable=self.instr_str, font=Font(size=24, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.06, anchor="n") + + # Save / Delete Buttons # + self.save_btn = tk.Button( + self, + text="SAVE", + highlightbackground="green", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda save=True: self.edit_trajectory(save), + ) + self.delete_btn = tk.Button( + self, + text="DELETE", + highlightbackground="red", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda save=False: self.edit_trajectory(save), + ) + + # Timer # + self.timer_on = False + self.time_str = StringVar() + self.timer = tk.Button( + self, + textvariable=self.time_str, + highlightbackground="black", + font=Font(size=40, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + ) + + # Image Variables # + self.clicked_id = None + self.image_boxes = [] + + # Create Image Grid # + for i in range(self.n_rows): + self.rowconfigure(i, weight=1) + for j in range(self.n_cols): + if (i * self.n_cols + j) >= len(self.controller.camera_order): + continue + self.columnconfigure(j, weight=1) + + # Add Image Box # + button = tk.Button( + self, height=0, width=0, command=lambda idx=(i * self.n_cols + j): self.update_image_grid(idx) + ) + button.grid(row=i, column=j, sticky="s" if self.n_rows > 1 else "") + self.image_boxes.append(button) + + # Start Image Thread # + camera_thread = threading.Thread(target=lambda idx=(i * self.n_cols + j): self.update_camera_feed(idx)) + camera_thread.daemon = True + camera_thread.start() + + def update_image_grid(self, i): + if self.clicked_id is None: + # Get Image Of Interest + self.clicked_id = i + elif self.clicked_id == i: + # If Double Clicked, Enlarge It + self.controller.frames[EnlargedImagePage].set_image_index(i) + self.controller.show_frame(EnlargedImagePage, wait=True) + self.clicked_id = None + else: + # If Alternate Image Clicked, Swap Them + self.controller.swap_img_order(self.clicked_id, i) + self.clicked_id = None + + def update_camera_feed(self, i, w_coeff=1.0, h_coeff=1.0): + while True: + not_active = self.controller.curr_frame != self + not_ready = len(self.controller.camera_order) != len(self.controller.cam_ids) + if not_active or not_ready: + time.sleep(0.05) + continue + + w, h = max(self.winfo_width(), 100), max(self.winfo_height(), 100) + img_w = int(w / self.n_cols * w_coeff) + img_h = int(h / self.n_rows * h_coeff) + + self.controller.set_img(i, widget=self.image_boxes[i], width=img_w, height=img_h) + + def moniter_keys(self, event): + zoom = self.controller.frames[EnlargedImagePage] + page_inactive = self.controller.curr_frame not in [self, zoom] + if page_inactive: + return + + shift = event.keysym in ["Shift_L", "Shift_R"] + + if self.mode == "live" and shift: + self.controller.show_frame(self.home_frame, refresh_page=False) + + def initialize_page(self): + # Clear Widges # + self.save_btn.place_forget() + self.delete_btn.place_forget() + self.timer.place_forget() + + # Update Text # + self.title_str.set(camera_page_title[self.mode]) + self.instr_str.set(camera_page_instr[self.mode]) + + # Add Mode Specific Stuff # + if "traj" in self.mode: + self.controller.robot.reset_robot(randomize=True) + + self.timer.place(relx=0.79, rely=0.01) + self.update_timer(time.time()) + + traj_thread = threading.Thread(target=self.collect_trajectory) + traj_thread.daemon = True + traj_thread.start() + + def collect_trajectory(self): + info = self.controller.info.copy() + practice = self.mode == "practice_traj" + self.controller.robot.collect_trajectory(info=info, practice=practice, reset_robot=False) + self.end_trajectory() + + def update_timer(self, start_time): + time_passed = time.time() - start_time + zoom = self.controller.frames[EnlargedImagePage] + page_inactive = self.controller.curr_frame not in [self, zoom] + hide_timer = "traj" not in self.mode + if page_inactive or hide_timer: + return + + minutes_str = str(int(time_passed / 60)) + curr_seconds = int(time_passed) % 60 + + if curr_seconds < 10: + seconds_str = "0{0}".format(curr_seconds) + else: + seconds_str = str(curr_seconds) + + if not self.controller.robot.traj_running: + start_time = time.time() + + self.time_str.set("{0}:{1}".format(minutes_str, seconds_str)) + self.controller.after(100, lambda: self.update_timer(start_time)) + + def end_trajectory(self): + save = self.controller.robot.traj_saved + practice = self.mode == "practice_traj" + + # Update Based Off Success / Failure # + if practice: + pass + elif save: + self.controller.num_traj_saved += 1 + else: + self.controller.frames[RequestedBehaviorPage].keep_last_task() + + # Check For Scene Changes # + num_traj = self.controller.num_traj_saved + move_robot = (num_traj % move_robot_frequency == 0) and (num_traj > 0) + scene_change = (np.random.uniform() < scene_change_prob) or move_robot + + # Move To Next Page + time.sleep(0.1) # Prevents bug where robot doesnt wait to reset + if practice: + post_reset_page = SceneConfigurationPage + elif scene_change: + post_reset_page = SceneChangesPage + else: + post_reset_page = RequestedBehaviorPage + self.controller.frames[CanRobotResetPage].set_next_page(post_reset_page) + self.controller.show_frame(CanRobotResetPage) + + def set_home_frame(self, frame): + self.home_frame = frame + + def set_mode(self, mode): + self.mode = mode + + def edit_trajectory(self, save): + if save: + self.controller.robot.save_trajectory() + else: + self.controller.robot.delete_trajectory() + self.controller.show_frame(RequestedBehaviorPage) + + +class EnlargedImagePage(tk.Frame): + def __init__(self, parent, controller): + super().__init__(parent) + self.controller = controller + + # Return When Double Clicked # + controller.bind("", self.return_to_camera_grid, add="+") + + # Image Variables # + self.image_box = Label(self) + self.image_box.pack(fill=BOTH, expand=YES, anchor=CENTER) + self.img_index = 0 + + # Camera Feed Thread # + camera_thread = threading.Thread(target=self.update_camera_feed) + camera_thread.daemon = True + camera_thread.start() + + def set_image_index(self, img_index): + self.img_index = img_index + + def return_to_camera_grid(self, e): + if self.controller.curr_frame != self: + return + self.controller.show_frame(CameraPage, refresh_page=False, wait=True) + + def update_camera_feed(self): + while True: + not_active = self.controller.curr_frame != self + not_ready = len(self.controller.camera_order) != len(self.controller.cam_ids) + if not_active or not_ready: + time.sleep(0.05) + continue + w, h = max(self.winfo_width(), 250), max(self.winfo_height(), 250) + self.controller.set_img(self.img_index, widget=self.image_box, width=w, height=h) + + +class CalibrateCamera(tk.Frame): + def __init__(self, parent, controller, num_views=2): + super().__init__(parent) + self.controller = controller + self.relevant_indices = [] + self.num_views = num_views + self.live = False + + # Moniter Key Events # + self.controller.bind("<>", self.press_A, add="+") + self.controller.bind("<>", self.press_B, add="+") + + # Page Variables # + self.title_str = StringVar() + self.instr_str = StringVar() + self.mode = "live" + + # Title # + title_lbl = Label(self, textvariable=self.title_str, font=Font(size=30, weight="bold")) + title_lbl.place(relx=0.5, rely=0.02, anchor="n") + + # Instructions # + instr_lbl = tk.Label(self, textvariable=self.instr_str, font=Font(size=24, slant="italic")) + instr_lbl.place(relx=0.5, rely=0.06, anchor="n") + + # Create Image Grid # + self.image_boxes = [] + self.rowconfigure(0, weight=1) + + for i in range(self.num_views): + self.columnconfigure(i, weight=1) + button = tk.Button(self, height=0, width=0) + button.grid(row=0, column=i, sticky="") + self.image_boxes.append(button) + + camera_thread = threading.Thread(target=lambda idx=i: self.update_camera_feed(idx)) + camera_thread.daemon = True + camera_thread.start() + + # Back Button # + self.back_btn = tk.Button( + self, + text="BACK", + highlightbackground="white", + font=Font(size=30, weight="bold"), + padx=3, + pady=5, + borderwidth=10, + command=lambda: controller.show_frame(CalibrationPage), + ) + + def press_A(self, event): + if self.controller.curr_frame != self: + return + if self.live: + return + + self.back_btn.place_forget() + traj_thread = threading.Thread(target=self.collect_trajectory) + traj_thread.daemon = True + traj_thread.start() + + def press_B(self, event): + if self.controller.curr_frame != self: + return + if self.live: + return + + self.controller.show_frame(CalibrationPage) + + def collect_trajectory(self): + self.controller.robot.reset_robot() + self.live = True + + cam_name = get_camera_name(self.cam_id) + self.title_str.set("Calibrating Camera: " + cam_name) + self.instr_str.set("Press 'A' to begin camera calibration, and 'B' to terminate early") + success = self.controller.robot.calibrate_camera(self.cam_id, reset_robot=False) + + self.end_trajectory(success) + + def end_trajectory(self, success): + self.live = False + + if success: + time.sleep(0.1) # Prevents bug where robot doesnt wait to reset + self.controller.frames[CanRobotResetPage].set_next_page(CalibrationPage) + self.controller.show_frame(CanRobotResetPage) + else: + time.sleep(0.1) # Prevents bug where robot doesnt wait to reset + self.controller.frames[CanRobotResetPage].set_next_page(CalibrateCamera) + self.controller.show_frame(CanRobotResetPage) + self.title_str.set("CALIBRATION FAILED") + self.instr_str.set("Press 'A' to retry, or 'B' to go back to the calibration hub") + self.back_btn.place(relx=0.5, rely=0.85, anchor="n") + + def set_camera_id(self, cam_id): + cam_name = get_camera_name(cam_id) + self.title_str.set("Camera View: " + cam_name) + self.instr_str.set("Press 'A' to begin, or 'B' to go back to the calibration hub") + self.back_btn.place(relx=0.5, rely=0.85, anchor="n") + self.relevant_indices = [] + self.cam_id = cam_id + + curr_cam_ids = self.controller.cam_ids.copy() + for i in range(len(curr_cam_ids)): + full_id = curr_cam_ids[i] + if cam_id in full_id: + self.relevant_indices.append(i) + + def update_camera_feed(self, i, w_coeff=1.0, h_coeff=1.0): + while True: + not_active = self.controller.curr_frame != self + not_ready = len(self.relevant_indices) != self.num_views + if not_active or not_ready: + time.sleep(0.05) + continue + + w, h = max(self.winfo_width(), 100), max(self.winfo_height(), 100) + img_w = int(w / self.num_views * w_coeff) + img_h = int(h / self.num_views * h_coeff) + index = self.relevant_indices[i] + + self.controller.set_img(index, widget=self.image_boxes[i], width=img_w, height=img_h, use_camera_order=False) + + # def set_camera_id(self, cam_id): + # cam_name = get_camera_name(cam_id) + # self.title_str.set('Camera View: ' + cam_name) + # self.instr_str.set("Press 'A' to begin, or 'B' to go back to the calibration hub") + # self.back_btn.place(relx=0.5, rely=0.85, anchor='n') + # self.relevant_indices = [] + # self.cam_id = cam_id + + # while True: + # new_relevant_indices = [] + # curr_cam_ids = self.controller.cam_ids.copy() + + # for i in range(len(curr_cam_ids)): + # full_id = curr_cam_ids[i] + # if cam_id in full_id: new_relevant_indices.append(i) + + # enough = len(new_relevant_indices) == self.num_views + # done = len(curr_cam_ids) == self.num_views + # if enough and done: break + # time.sleep(0.05) + + # self.relevant_indices = new_relevant_indices diff --git a/droid/user_interface/gui_info.json b/droid/user_interface/gui_info.json new file mode 100644 index 0000000..cec55e0 --- /dev/null +++ b/droid/user_interface/gui_info.json @@ -0,0 +1 @@ +{"user": "Ethan Foster", "building": "Gates", "scene_id_timestamp": 1686263566.9465497, "scene_id": 4823049285} diff --git a/droid/user_interface/gui_parameters.py b/droid/user_interface/gui_parameters.py new file mode 100644 index 0000000..1afd2e6 --- /dev/null +++ b/droid/user_interface/gui_parameters.py @@ -0,0 +1,29 @@ +# IMPORTANT VARIABLES # +new_task_prob = 0.1 +compositional_task_prob = 0.1 +scene_change_prob = 0.2 +move_robot_frequency = 100 + +task_weights = { + "Press button": 1, + "Open or close hinged object": 1, + "Open or close slidable objects": 1, + "Turn twistable object": 1, + "Move object into or out of container": 1, + "Move lid on or off of container": 1, + "Move object to a new position and orientation": 1, + "Use cup to pour something granular": 1, + "Use object to pick up something": 1, + "Use cloth to clean something": 1, + "Use object to stir something": 1, + "Open or close curtain": 1, + "Hang or unhang object": 1, + "Fold, spread out, or clump object": 1, +} + +# LOW PRIORITY VARIABLES # +reset_hold_time = 5 + +# Links # +task_ideas_link = "https://docs.google.com/document/d/1HCthaZrzdlnAxBYd4vCkXHYLTvm94SurF68xtgyJl4s/edit?usp=sharing" +debugging_link = "https://docs.google.com/document/d/1y6NJgLyHbJUwBxdUxahp6LDZ0cCGDDyIgAfMwECCU14/edit?usp=sharing" diff --git a/droid/user_interface/misc.py b/droid/user_interface/misc.py new file mode 100644 index 0000000..be9150a --- /dev/null +++ b/droid/user_interface/misc.py @@ -0,0 +1,36 @@ +import json +import os +import time + +import numpy as np + +dir_path = os.path.dirname(os.path.realpath(__file__)) +gui_info_filepath = os.path.join(dir_path, "gui_info.json") + + +def load_gui_info(): + if not os.path.isfile(gui_info_filepath): + return {} + with open(gui_info_filepath, "r") as jsonFile: + gui_info = json.load(jsonFile) + return gui_info + + +def update_gui_info(user=None, building=None, scene_id=None): + gui_info = load_gui_info() + if user is not None: + gui_info["user"] = user + if building is not None: + gui_info["building"] = building + if scene_id is not None: + existing_id = gui_info.get("scene_id", None) + if existing_id != scene_id: + gui_info["scene_id_timestamp"] = time.time() + gui_info["scene_id"] = scene_id + + with open(gui_info_filepath, "w") as jsonFile: + json.dump(gui_info, jsonFile) + + +def generate_scene_id(): + return np.random.randint(0, 1e10) diff --git a/droid/user_interface/text.py b/droid/user_interface/text.py new file mode 100644 index 0000000..75d48c0 --- /dev/null +++ b/droid/user_interface/text.py @@ -0,0 +1,129 @@ +all_tasks = { + "Articulated Tasks": [ + "Press button (ex: light switch, elevators, microwave button)", + "Open or close hinged object (ex: hinged door, microwave, oven, book, dryer, toilet, box)", + "Open or close slidable objects (ex: toaster, drawers, sliding doors, dressers)", + "Turn twistable object (ex: faucets, lamps, stove knobs)", + ], + "Free Object Tasks": [ + "Move object into or out of container (ex: drawer, clothes hamper, plate, trashcan, washer)", + "Move lid on or off of container (ex: pot, cup, pill bottle)", + "Move object to a new position and orientation (ex: grasping, relocating, flipping)", + ], + "Tool Usage Tasks": [ + "Use cup to pour something granular (ex: nuts, rice, dried pasta, coffee beans)", + "Use object to pick up something (ex: spoon + almonds, spatula + bread, fork + banana)", + "Use cloth to clean something (ex: table, window, mirror, plate)", + "Use object to stir something (ex: almonds in a bowl, dried pasta in a pot)", + ], + "Deformable Object Tasks": [ + "Open or close curtain (ex: blanket on bed, shower curtain, shades)", + "Hang or unhang object (ex: towel on hook, clothes over chair)", + "Fold, spread out, or clump object (ex: cloth, charging cord, clothes)", + ], +} + +preferred_tasks = { + "Articulated Tasks": [ + "Flip a lightswitch", + "Open or close a hinged cabinet", + "Open or close a sliding drawer", + "Push down the lever on a toaster", + ], + "Free Object Tasks": [ + "Move a lid onto or off of a pot", + "Put an object in or take an object out of a [pot, cabinet, drawer, clothes hamper]", + "Move an object to a new position and orientation", + ], + "Tool Usage Tasks": [ + "Use cup to pour something granular", + "Use a spatula to pick up an object", + "Use a cloth to wipe a table", + "Use a big spoon to stir a pot", + ], + "Deformable Object Tasks": [ + "Pull a blanket on a bed forward or backward", + "Hang or unhang fabric (towel, clothes, etc) on a hook", + "Fold or unfold fabric (towel, clothes, etc)", + ], +} + +compositional_tasks = [ + lambda: "Do anything you like that takes multiple steps to complete.", + lambda t: "Do any task, and then reset the scene.\n\nSuggested task:\n* {0}".format(t), + lambda t1, t2: "Do any two tasks consecutively.\n\nSuggested tasks:\n* {0}\n* {1}".format(t1, t2), + lambda t1, t2, t3: "Do any three tasks consecutively.\n\nSuggested tasks:\n* {0}\n* {1}\n* {2}".format(t1, t2, t3), +] + +how_to_text = ( + "1. Move the robot to a desired location (remember to unlock + relock wheels) \n\n2. Confirm that robot can reach" + " everything of interest \n\n3. Confirm that ALL interaction objects are within ALL camera views \n\n4. Check the" + " task categories that are doable from the CURRENT scene \n\n5. Try to come up with roughly three tasks of your own" +) + +how_to_calibrate_text = ( + "Follow these steps EVERYTIME you move a camera:\n\n1. Attach the ChArUco board to the gripper when calibrating 3rd" + " person cameras, or place it on a table when calibrating the hand camera\n\n2. Once the trajectory starts, move the" + " gripper such that the board is clearly visible by the camera (1-2 feet away)\n\n3. Press 'A' to begin the" + " calibration trajectory, the GUI will inform you if calibration fails\n\nTip: You can name cameras in the" + " parameters file\n\nWarning: 'Advanced Mode' has higher calibration success, but is slow and buggy!" +) + +data_collection_text = ( + "* Use as much action noise as possible, such that you can still perform the tasks\n\n* Make sure that you" + " prioritize data collection for everything in 'Preferred Tasks'\n\n* Create tasks like those in 'Task Ideas'. Keep" + " things simple and realistic :)\n\n* Finish trajectories in such a way that the robot can be reset (ex: nothing in" + " gripper)\n\n* Although we want you to stick to the requested tasks, use your best judgement\n\n* Avoid setting up" + " scenes that cover repetitive task categories\n\n* At any time, hold 'Return' for 5 seconds to reset the robot" +) + +warnings_text = ( + "* DO NOT use the robot to grasp fragile items (ex: glass, eggs) \n\n* NEVER get the robot or any of its equipment" + " wet \n\n* ALWAYS keep the mobile base on all four wheels \n\n* STAY out of camera view and refrain from talking" + " during data collection" +) + +scene_changes = [ + "Change the table height slightly (1-6 inches)", + "Change the table height significantly (6+ inches)", + "Move the table position and angle slightly (1-6 square inches, 1-15 degrees)", + "Move the table position and angle significantly (6+ square inches, 15+ degrees)", + "Move a varied camera's pose significantly and recalibrate", + "Add an object to the scene", + "Remove (if applicable) an object from the scene", + "If possible, change the lighting in the room (ex: dim a light, close a window)", +] + +noise_text = "Use the slider to adjust the action noise" +task_suggestions_text = "Suggestions are organized below by room" +use_checkboxes_text = "Use the checkboxes to keep track of your progress" +missing_name_text = "Enter your first AND last name" +missing_building_text = "Enter a building name" +move_robot_text = "MANDATORY: Move the robot setup to an entirely new location" +preferred_task_text = "Use the checkboxes below to keep track of your progress" +no_tasks_text = "There are no tasks to sample. Please click or enter some :)" +freewrite_text = "Enter Your Own Tasks Here (Seperate Entries With Semicolons)" +shift_text = "Press 'Shift' to toggle camera feed" +controller_off_msg = "Place it on your head to wake it up. When ready, press space to continue :)" +missing_calibration_text = "You must finish calibrating all cameras in order to proceed" +old_calibration_text = ( + "You have cameras that haven't been calibrated in over an hour. Are you sure you want to continue?" +) +old_scene_text = "You haven't marked a scene change in over an hour. Are you sure you want to continue?" +color_spectrum_explantion = ( + "Blue: Camera has not been calibrated in over an hour\n\nRed: Camera has never been calibrated" +) + +camera_page_title = { + "live": "Camera Feed", + "traj": "*Live Trajectory*", + "replay": "", + "practice_traj": "*Practice Run*", +} + +camera_page_instr = { + "live": "Click two images to swap them, or double click one image to enlarge it (click again to return)", + "traj": "Press 'A' to mark a success, or 'B' to mark a failure", + "replay": "Would you like to save or delete this trajectory?", + "practice_traj": "Press 'A' or 'B' to end the trial run", +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..24cefe0 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,74 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" + +[project] +name = "droid" +authors = [ + {name = "Alexander Khazatsky "} +] +description = "Residential Robot Demonstration Dataset" +version = "0.0.1" +readme = "README.md" +requires-python = ">=3.7" +keywords = ["robotics"] +dependencies = [ + "boto3", + "customtkinter", + "dm-control==1.0.5", + "gym", + "h5py", + "imageio", + "matplotlib", + "mujoco==2.3.2", + "open3d", + "opencv-python==4.6.0.66", + "opencv-contrib-python==4.6.0.66", + "Pillow", + "protobuf==3.20.1", + "psutil", + "pyrallis", + "scipy", + "tqdm", + "zerorpc", +] + +[project.optional-dependencies] +dev = [ + "black[jupyter]", + "ipython", + "pre-commit", + "ruff", +] +postprocessing = [ + "scikit-image", +] + +[project.urls] +homepage = "https://github.com/AlexanderKhazatsky/DROID" +repository = "https://github.com/AlexanderKhazatsky/DROID" +documentation = "https://github.com/AlexanderKhazatsky/DROID" + +[tool.black] +line-length = 121 +target-version = ["py37", "py38", "py39", "py310"] +preview = true + +[tool.ruff] +line-length = 121 +target-version = "py38" +select = ["A", "B", "C90", "E", "F", "I", "RUF", "W"] +ignore = ["F405", "B006", "C901", "F403", "E722"] +[tool.ruff.per-file-ignores] +"__init__.py" = ["E402", "F401"] + +[tool.isort] +profile = "black" +line_length = 121 +skip = ["__init__.py"] +filter_files = true +py_version = "all" + +[tool.setuptools.packages.find] +where = ["."] +exclude = ["cache"] diff --git a/scripts/README.md b/scripts/README.md new file mode 100644 index 0000000..b235f3e --- /dev/null +++ b/scripts/README.md @@ -0,0 +1,188 @@ +# Postprocessing Instructions + +Running `scripts/postprocess.py` will iterate through all folders/files dumped as part of data collection, verify +that each trajectory contains the relevant information, convert all SVO files to MP4s, and then uploads all +trajectory data to Amazon S3. + +This README only applies to `scripts/postprocess.py`; to get started, see the Quickstart section below. The remaining +sections provide more context about what this script is doing, as well as helpful tips for debugging common errors. + +**Note:** This script tries to be smart and efficient by caching intermediate states/errors as it runs. You can trust +that script will never delete or overwrite existing files, nor will it overwrite anything in S3. However, +cache invalidation is hard -- if the script logs an error, and you fix it, it may/may not update the "errored_paths" +entry of the cache file properly. It's on you to manually fix those entries in `-cache.json` for now (or message +Sidd if you have a better solution)! + +## Quickstart + +To get started, make sure you're on the data collection laptop! Pull the latest version of the DROID repository; +there should be a folder `cache/postprocessing` at the repository root. If your lab has uploaded data to Google +Drive prior to August 1st, 2023, you should see a file `-cache.json` in this folder! + +To upload new demonstrations: + +1. Install new Python dependencies for post-processing (`pip install -e .`); should install `boto3` and `pyrallis`. + +2. Read and familiarize yourself with the script `scripts/postprocess.py`, especially the arguments in the + dataclass `DROIDUploadConfig`. Note the labs and members defined in `REGISTERED_MEMBERS`. + + If your lab is not in the dictionary, add it (along with your first member's name + associated 8-character ID). + + The comments above the dictionary definition walk through how to add new members (and generate IDs)! + +3. Create a file `droid-credentials.json` (or whatever, just make sure **it is not tracked by git**) with the AWS + Access Key and Secret Key that was sent to your lab leads by email. + + The JSON file should be formatted as ```{"AccessKeyID": , "SecretAccessKey": }``` + + Update `DROIDUploadConfig.credentials_json` with the path to this JSON file. + + **If you don't have AWS Credentials:** Check the section "AWS S3 Access" below! + +4. Update `DROIDUploadConfig.lab` with your unique lab identifier from `REGISTERED_MEMBERS`. Update + `DROIDUploadConfig.data_dir` with the path to the folder containing your demonstrations. This folder is + automatically created by the data collection GUI, and should be formatted following the + "Expected Data Directory Structure" section below. + +5. Run the script from the root of the repository `python scripts/postprocess.py`. + + If you run into errors, or the script outputs "Errors in... [FIX IMMEDIATELY]" or "Errors in... [VERIFY]", + consult the "Debugging Common Failures" section below. + +**Note:** This script will occasionally exit with a message "EXITING TO PREVENT SVO SEGFAULT" due to a known issue with +bulk converting SVO files to MP4s. If you see this, just rerun the script (because of caching, it'll just pick up where +it left off). + +--- + +### AWS S3 Access + +One member per lab should email Sidd to get credentials to upload demonstrations to the S3 bucket. Each lab will only +get one set of credentials, to be stored on the data collection laptop; the credentials only allow for uploading to +the DROID S3 bucket (no other AWS permissions). + +Make sure to check that your lab doesn't already have a set of valid credentials (the following users should already +have credentials): + +``` +- Sasha Khazatsky (Lab(s): IRIS, TRI) +- Joey Hejna (Lab: ILIAD) +- Marion Lepert (Lab: IPRL) +- Mohan Kumar (Lab: GuptaLab) +- Sungjae Park (Lab: CLVR) +``` + +If your name is on the above list, your credentials should've been sent to you (search your inbox for an email from +LastPass -- subject line should be something like `sravya.reddy@tri.global shared secure information with you`). + +### Expected Data Directory Structure + +This script expects that the `data_dir` containing demonstrations has the following structure. This structure is strict, +and follows the format dumped by the Data Collection script. If your data is not in this format, please reformat +prior to running the script! + +``` +- + - success/ (Contains the user-labelled "success" trajectories) + - --
/ (Corresponds to the day the trajectory was collected on) + - __
_::_/ (Path to an individual trajectory directory) + - trajectory.h5 (HDF5 file containing states, actions, camera data as time series) + - recordings/ + - SVO/ (Directory containing ZED SVO files -- one for each of the three cameras) + - + - + - + + - [Optional] failure/ (Contains the user-labelled "failure" or otherwise unsuccessful trajectories) + - .../ (Same format as above) +``` + +The script will complain/log any deviations from the above format... but try to keep things organized! + +### Debugging Common Failures + +Running `python scripts/postprocess.py` will iterate through all demonstrations in `data_dir` throwing either "hard" +or "silent" errors. Hard errors stop execution of the script until they are fixed, while "silent" errors are logged +and reported to you at the end of execution (and are stored in the `-cache.json` file). + +#### Debugging "Hard" Failures + +- `Unexpected Directory -- did you accidentally nest directories?` + + This error indicates finding a directory "--
/" nested in another "--
/" directory. + This usually only happens if a user has accidentally moved / copied directories. Fix by moving the nested directory + up the file tree (merging directories if necessary), or deleting the nested directory (if duplicate). + +- `Invalid Directory -- check timestamp format!` + + This error indicates that a directory was found under `success/` or `failure/` that **does not** follow the above + format ("--
"). Fix by removing the offending directory (or moving it to the appropriate place). + +- `User alias not in REGISTERED_LAB_MEMBERS or REGISTERED_ALIASES` + + This error indicates that the given name (should be "irst ", case-sensitive) is not in the top-level + `REGISTERED_LAB_MEMBERS` dictionary. If this is a new user, add them to the dictionary, following the comment + above the dictionary definition. + + **However:** If this is a typo or alias of an existing user (e.g., "Sasha -> Alexander", "Sdid" --> "Sidd), add this + alias to the `REGISTERED_ALIASES` dictionary instead. **In general, avoid using multiple names for the same user!** + +- `Lab not in REGISTERED_LAB_MEMBERS` + + This error means that `` is not recognized. If you're a lab joining the project, add an entry to + + `REGISTERED_LAB_MEMBERS`. Otherwise, check the `lab` parameter you set in `DROIDUploadConfig` or message Sidd. + +- `Problem connection to S3 bucket; verify credentials JSON file!` + + There's an issue connection to AWS S3; verify the credentials in the JSON file were copied correctly, otherwise + message Sidd. + +If there is any other error thrown during script execution, message Sidd to debug! + +#### Debugging "Silent" Failures + +These failures are logged during execution, and only reported in aggregate in the final message printed by the script. +To get individual errors, look at your lab's cache file `cache/postprocessing/-cache.json`. Under the `totals` +key, you'll see a JSON dictionary with the following: + +``` +{ + "totals": { + ... + + // You want to look at this entry! + "errored": { + "success": (# of trajectories from success/ subdirectory>), + "failure": (# of trajectories from failure/ subdirectory) + }, + }, + ... + + // Actual error messages! + "errored_paths": { + "success": { + "": "": "/recordings/SVO/.svo!` + + [Case: `success/`] Successful trajectories should have *all 3 SVO* files present! If this is not the case, relabel + this trajectory as a `failure/`. + + [Case: `failure/`] Failure trajectories might not have all 3 SVO files; in this case, just keep the directory on + disk (it will not be uploaded at this time). We'll figure out what to do about these soon! + +- `[Processing Error] JSON Metadata Parse Error` + + [Case: `success/`] This error only happens if the `trajectory.h5` file is corrupt or otherwise missing information. + Fix the H5 file if possible, otherwise relabel this trajectory as a `failure/`. + + [Case: `failure/`] If `trajectory.h5` is corrupt/unreadable, keep this directory on disk (it will not be uploaded). + Similar to above, we'll figure out what to do about these soon! + +- `[Processing Error] Corrupted SVO / Failed Conversion` + + [Case: `success/`] This error happens if there's an issue with SVO conversion -- check that the SVO files are + actually unreadable, and if so, mark as a `failure/`. + + [Case: `failure/`] Same as above; keep on disk, but it will not be uploaded! + +When you've handled *all errors* the value of `"totals" --> "success/"` in `-cache.json` should be 0! diff --git a/scripts/convert/svo_to_mp4.py b/scripts/convert/svo_to_mp4.py new file mode 100644 index 0000000..91fc601 --- /dev/null +++ b/scripts/convert/svo_to_mp4.py @@ -0,0 +1,101 @@ +import glob +import json +import os + +import cv2 +from tqdm import tqdm + +from droid.camera_utils.recording_readers.svo_reader import SVOReader +from droid.data_loading.trajectory_sampler import collect_data_folderpaths + + +def convert_svo_to_mp4(filepath, recording_folderpath): + # Open SVO Reader # + serial_number = filepath.split("/")[-1][:-4] + camera = SVOReader(filepath, serial_number=serial_number) + camera.set_reading_parameters(image=True, depth=False, pointcloud=False, concatenate_images=True) + width, height = camera.get_frame_resolution() + + # Create MP4 Writer # + video_output_path = os.path.join(recording_folderpath, "MP4", serial_number + ".mp4") + timestamp_output_path = video_output_path[:-4] + "_timestamps.json" + video_codec = cv2.VideoWriter_fourcc(*"mp4v") + video_writer = cv2.VideoWriter(video_output_path, fourcc=video_codec, fps=15, frameSize=(width * 2, height)) + + # Convert To MP4 # + frame_count = camera.get_frame_count() + received_timestamps = [] + + for _i in range(frame_count): + output = camera.read_camera(return_timestamp=True) + if output is None: + break + else: + data_dict, timestamp = output + + sbs_frame = data_dict["image"][serial_number] + received_timestamps.append(timestamp) + sbs_frame = cv2.cvtColor(sbs_frame, cv2.COLOR_BGRA2BGR) + video_writer.write(sbs_frame) + + # Close Everything # + camera.disable_camera() + video_writer.release() + + with open(timestamp_output_path, "w") as jsonFile: + json.dump(received_timestamps, jsonFile) + + +corrupted_traj = [] +all_folderpaths = collect_data_folderpaths() +for folderpath in tqdm(all_folderpaths): + recording_folderpath = os.path.join(folderpath, "recordings") + mp4_folderpath = os.path.join(recording_folderpath, "MP4") + svo_folderpath = os.path.join(recording_folderpath, "SVO") + if not os.path.exists(mp4_folderpath): + os.makedirs(mp4_folderpath) + if not os.path.exists(svo_folderpath): + os.makedirs(svo_folderpath) + + # Move Files To New Location # + svo_files_to_move = glob.glob(recording_folderpath + "/*.svo") + for f in svo_files_to_move: + path_list = f.split("/") + path_list.insert(len(path_list) - 1, "SVO") + new_f = "/".join(path_list) + os.rename(f, new_f) + + # Gather Files To Convert # + svo_filepaths = glob.glob(svo_folderpath + "/*.svo") + mp4_filepaths = glob.glob(mp4_folderpath + "/*.mp4") + files_to_convert = [] + for f in svo_filepaths: + serial_number = f.split("/")[-1][:-4] + if not any([serial_number in f for f in mp4_filepaths]): + files_to_convert.append(f) + + for f in mp4_filepaths: + timestamp_filepath = f[:-4] + "_timestamps.json" + if not os.path.exists(timestamp_filepath): + files_to_convert.append(f) + + reader = cv2.VideoCapture(f) + if reader.isOpened(): + reader.release() + else: + files_to_convert.append(f) + + # Convert Files # + for f in files_to_convert: + convert_svo_to_mp4(f, recording_folderpath) + + # Check Success # + num_mp4 = len(glob.glob(mp4_folderpath + "/*.mp4")) + num_svo = len(svo_filepaths) + + if num_svo > num_mp4: + corrupted_traj.append(folderpath) + +print("The following trajectories are corrupted: ") +for folderpath in corrupted_traj: + print(folderpath) diff --git a/scripts/convert/to_tfrecord.py b/scripts/convert/to_tfrecord.py new file mode 100644 index 0000000..7986eaf --- /dev/null +++ b/scripts/convert/to_tfrecord.py @@ -0,0 +1,218 @@ +import os + +import numpy as np +import tensorflow as tf +import tqdm +from absl import app, flags, logging +from tqdm_multiprocess import TqdmMultiProcessPool + +from droid.data_loading.trajectory_sampler import crawler +from droid.trajectory_utils.misc import load_trajectory + +""" +AVAILABLE KEYS: + +action/cartesian_position +action/cartesian_velocity +action/gripper_position +action/gripper_velocity +action/joint_position +action/joint_velocity +action/robot_state/cartesian_position +action/robot_state/gripper_position +action/robot_state/joint_positions +action/robot_state/joint_torques_computed +action/robot_state/joint_velocities +action/robot_state/motor_torques_measured +action/robot_state/prev_command_successful +action/robot_state/prev_controller_latency_ms +action/robot_state/prev_joint_torques_computed +action/robot_state/prev_joint_torques_computed_safened +action/target_cartesian_position +action/target_gripper_position +observation/camera_extrinsics/13062452_left +observation/camera_extrinsics/13062452_left_gripper_offset +observation/camera_extrinsics/13062452_right +observation/camera_extrinsics/13062452_right_gripper_offset +observation/camera_extrinsics/19824535_left +observation/camera_extrinsics/19824535_right +observation/camera_extrinsics/20521388_left +observation/camera_extrinsics/20521388_right +observation/camera_extrinsics/23404442_left +observation/camera_extrinsics/23404442_right +observation/camera_extrinsics/24259877_left +observation/camera_extrinsics/24259877_right +observation/camera_extrinsics/26405488_left +observation/camera_extrinsics/26405488_right +observation/camera_extrinsics/29838012_left +observation/camera_extrinsics/29838012_right +observation/camera_type/13062452 +observation/camera_type/20521388 +observation/camera_type/24259877 +observation/controller_info/controller_on +observation/controller_info/failure +observation/controller_info/movement_enabled +observation/controller_info/success +observation/robot_state/cartesian_position +observation/robot_state/gripper_position +observation/robot_state/joint_positions +observation/robot_state/joint_torques_computed +observation/robot_state/joint_velocities +observation/robot_state/motor_torques_measured +observation/robot_state/prev_command_successful +observation/robot_state/prev_controller_latency_ms +observation/robot_state/prev_joint_torques_computed +observation/robot_state/prev_joint_torques_computed_safened +observation/timestamp/cameras/13062452_estimated_capture +observation/timestamp/cameras/13062452_frame_received +observation/timestamp/cameras/13062452_read_end +observation/timestamp/cameras/13062452_read_start +observation/timestamp/cameras/20521388_estimated_capture +observation/timestamp/cameras/20521388_frame_received +observation/timestamp/cameras/20521388_read_end +observation/timestamp/cameras/20521388_read_start +observation/timestamp/cameras/24259877_estimated_capture +observation/timestamp/cameras/24259877_frame_received +observation/timestamp/cameras/24259877_read_end +observation/timestamp/cameras/24259877_read_start +observation/timestamp/control/control_start +observation/timestamp/control/policy_start +observation/timestamp/control/sleep_start +observation/timestamp/control/step_end +observation/timestamp/control/step_start +observation/timestamp/robot_state/read_end +observation/timestamp/robot_state/read_start +observation/timestamp/robot_state/robot_timestamp_nanos +observation/timestamp/robot_state/robot_timestamp_seconds +observation/timestamp/skip_action +observation/image/24259877_left +observation/image/24259877_right +observation/image/13062452_left +observation/image/13062452_right +observation/image/20521388_left +observation/image/20521388_right +""" + + +def flatten(x): + d = {} + for k, v in x.items(): + if isinstance(v, dict): + for k2, v2 in flatten(v).items(): + d[k + "/" + k2] = v2 + else: + d[k] = v + return d + + +def tensor_feature(value): + return tf.train.Feature(bytes_list=tf.train.BytesList(value=[tf.io.serialize_tensor(value).numpy()])) + + +def resize_and_encode(image, size): + return tf.io.encode_jpeg(tf.cast(tf.round(tf.image.resize(image, size, method="bicubic")), tf.uint8)) + + +FLAGS = flags.FLAGS +flags.DEFINE_string("input_path", "franka_data/success", "Path to input directory") +flags.DEFINE_string("output_path", "franka_data/tfrecords", "Path to output directory") +flags.DEFINE_bool("overwrite", False, "Overwrite existing tfrecords") +flags.DEFINE_float("train_fraction", 0.8, "Fraction of data to use for training") +flags.DEFINE_integer("shard_size", 200, "Maximum number of trajectories per tfrecord") +flags.DEFINE_integer("num_workers", 8, "Number of workers to use for parallel processing") + + +KEEP_KEYS = [ + "action/cartesian_position", + "action/cartesian_velocity", + "action/gripper_position", + "action/gripper_velocity", + "action/target_cartesian_position", + "action/target_gripper_position", + "observation/image/24259877_left", + "observation/image/24259877_right", + "observation/image/13062452_left", + "observation/image/13062452_right", + "observation/image/20521388_left", + "observation/image/20521388_right", +] + +FRAMESKIP = 1 +IMAGE_SIZE = (180, 320) + + +def create_tfrecord(paths, output_path, tqdm_func, global_tqdm): + writer = tf.io.TFRecordWriter(output_path) + + for path in paths: + h5_filepath = os.path.join(path, "trajectory.h5") + recording_folderpath = os.path.join(path, "recordings", "MP4") + + # this is really inefficient, should really do frame skipping inside `load_trajectory` but I didn't want to mess + # with it for now + traj = load_trajectory(h5_filepath, recording_folderpath=recording_folderpath) + traj = traj[::FRAMESKIP] + + # each element of `traj` is a possibly nested dict; flatten them and make sure they all have the same keys + traj_flat = [flatten(t) for t in traj] + assert all(t.keys() == traj_flat[0].keys() for t in traj_flat) + + # convert to a single dict of lists, processing images and discarding unwanted keys along the way + out = {} + for key in traj_flat[0].keys(): + if key not in KEEP_KEYS: + continue + if "image" in key: + out[key] = [resize_and_encode(t[key], IMAGE_SIZE) for t in traj_flat] + else: + out[key] = [t[key] for t in traj_flat] + example = tf.train.Example(features=tf.train.Features(feature={k: tensor_feature(v) for k, v in out.items()})) + + writer.write(example.SerializeToString()) + + global_tqdm.update(1) + + writer.close() + + +def main(_): + if tf.io.gfile.exists(FLAGS.output_path): + if FLAGS.overwrite: + logging.info(f"Deleting {FLAGS.output_path}") + tf.io.gfile.rmtree(FLAGS.output_path) + else: + logging.info(f"{FLAGS.output_path} exists, exiting") + return + + all_paths = crawler(FLAGS.input_path) + all_paths = [p for p in all_paths if os.path.exists(p + "/trajectory.h5") and os.path.exists(p + "/recordings/MP4")] + + # train/test split + # might be a good idea to do a stratified split, but that would require significant changes in `crawler` + np.random.shuffle(all_paths) + train_paths = all_paths[: int(len(all_paths) * FLAGS.train_fraction)] + test_paths = all_paths[int(len(all_paths) * FLAGS.train_fraction) :] + + # shard paths + train_shards = np.array_split(train_paths, np.ceil(len(train_paths) / FLAGS.shard_size)) + test_shards = np.array_split(test_paths, np.ceil(len(test_paths) / FLAGS.shard_size)) + + # create output paths + tf.io.gfile.makedirs(os.path.join(FLAGS.output_path, "train")) + tf.io.gfile.makedirs(os.path.join(FLAGS.output_path, "test")) + train_output_paths = [os.path.join(FLAGS.output_path, "train", f"{i}.tfrecord") for i in range(len(train_shards))] + test_output_paths = [os.path.join(FLAGS.output_path, "test", f"{i}.tfrecord") for i in range(len(test_shards))] + + # create tasks (see tqdm_multiprocess documenation) + tasks = [(create_tfrecord, (train_shards[i], train_output_paths[i])) for i in range(len(train_shards))] + [ + (create_tfrecord, (test_shards[i], test_output_paths[i])) for i in range(len(test_shards)) + ] + + # run tasks + pool = TqdmMultiProcessPool(FLAGS.num_workers) + with tqdm.tqdm(total=len(all_paths), dynamic_ncols=True) as pbar: + pool.map(pbar, tasks, lambda _: None, lambda _: None) + + +if __name__ == "__main__": + app.run(main) diff --git a/scripts/evaluation/evaluate_policy.py b/scripts/evaluation/evaluate_policy.py new file mode 100644 index 0000000..7cc55bb --- /dev/null +++ b/scripts/evaluation/evaluate_policy.py @@ -0,0 +1,65 @@ +from droid.evaluation.eval_launcher_robomimic import eval_launcher, get_goal_im +import matplotlib.pyplot as plt +import os +import argparse +import cv2 + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('-g', '--capture_goal', action='store_true') + parser.add_argument('-l', '--lang_cond', action='store_true') + parser.add_argument('-c', '--ckpt_path', type=str, default=None, + help='Path to Pytorch checkpoint (.pth) corresponding to the policy you want to evaluate.') + args = parser.parse_args() + + variant = dict( + exp_name="policy_test", + save_data=False, + use_gpu=True, + seed=0, + policy_logdir="test", + task="", + layout_id=None, + model_id=50, + camera_kwargs=dict(), + data_processing_kwargs=dict( + timestep_filtering_kwargs=dict(), + image_transform_kwargs=dict(), + ), + ckpt_path=args.ckpt_path, + ) + + if args.capture_goal: + valid_values = ["yes", "no"] + goal_im_ok = False + + while goal_im_ok is not True: + program_mode = input("Move the robot into programming mode, adjust the scene as needed, and then press Enter to acknowledge: ") + exec_mode = input("Now move the robot into execution mode, press Enter to acknowledge: ") + print("Capturing Goal Image") + goal_ims = get_goal_im(variant, run_id=1, exp_id=0) + # Sort the goal_ims by key and display in a 3 x 2 grid + sort_goal_ims = [cv2.cvtColor(image[1][:, :, :3], cv2.COLOR_BGR2RGB) for image in sorted(goal_ims.items(), key=lambda x: x[0])] + fig, axes = plt.subplots(3, 2, figsize=(8,10)) + axes = axes.flatten() + for i in range(len(sort_goal_ims)): + axes[i].imshow(sort_goal_ims[i]) + axes[i].axis('off') + plt.tight_layout() + plt.show() + + user_input = input("Do these goal images look reasonable? Enter Yes or No: ").lower() + while user_input not in valid_values: + print("Invalid input, Please enter Yes or No") + goal_im_ok = user_input == "yes" + input("Now reset the scene for the policy to execute, press Enter to acknowledge: ") + if args.lang_cond: + user_input = input("Provide a language command for the robot to complete: ").lower() + if not os.path.exists('eval_params'): + os.makedirs('eval_params') + with open('eval_params/lang_command.txt', 'w') as file: + file.write(user_input) + + print("Evaluating Policy") + eval_launcher(variant, run_id=1, exp_id=0) diff --git a/scripts/evaluation/evaluate_rt1.py b/scripts/evaluation/evaluate_rt1.py new file mode 100644 index 0000000..447e097 --- /dev/null +++ b/scripts/evaluation/evaluate_rt1.py @@ -0,0 +1,26 @@ +import argparse +from droid.user_interface.eval_gui import EvalGUI +from droid.evaluation.rt1_wrapper import RT1Policy + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("--checkpoint_path", type=str, required=True) + args = parser.parse_args() + + policy = RT1Policy( + args.checkpoint_path, + camera_obs_keys=[ + "26638268_left", + "26638268_right", + "22246076_left", + "22246076_right", + "16291792_left", + "16291792_right", + ], + ) + EvalGUI(policy=policy) + + +if __name__ == "__main__": + main() diff --git a/scripts/evaluation/results.ipynb b/scripts/evaluation/results.ipynb new file mode 100644 index 0000000..8a16d32 --- /dev/null +++ b/scripts/evaluation/results.ipynb @@ -0,0 +1,1201 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rllab.viskit.core as core\n", + "import glob\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "from rlkit.visualization import plot_util as plot\n", + "\n", + "plt.style.use(\"ggplot\")\n", + "import matplotlib\n", + "\n", + "plot.configure_matplotlib(matplotlib)" + ] + }, + { + "cell_type": "code", + "execution_count": 585, + "metadata": {}, + "outputs": [], + "source": [ + "envs = [\"RemoveLid-v0\", \"MugDishRack-v0\", \"CarrotPlate-v0\"]\n", + "\n", + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/bridge_test/\"]\n", + "\n", + "filter_func = lambda e: e[\"params\"][\"env_name\"] == envs[1]\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "# exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 595, + "metadata": {}, + "outputs": [], + "source": [ + "envs = [\"carrot\", \"cup\", \"faucet\"]\n", + "\n", + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/bridge_test/\"]\n", + "\n", + "filter_func = lambda e: e[\"params\"][\"setting\"] == envs[2]\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 596, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_sample_limit': {'833.3333333333334', '1666.6666666666667', '2500.0'}, 'setting': {'faucet'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\"target_sample_limit\", \"setting\"]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"target-BC Loss\"],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " # ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 570, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '5', '25', '50'}, 'env_name': {'CarrotPlate-v0'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "envs = [\"MugDishRack-v0\", \"CarrotPlate-v0\"]\n", + "\n", + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/domain_confusion/\"]\n", + "\n", + "filter_func = lambda e: e[\"params\"][\"env_name\"] == envs[1]\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)\n", + "\n", + "#############################################################\n", + "\n", + "vary = [\"target_percentage\", \"ce_weight\"]\n", + "split = [\"target_traj_limit\", \"env_name\"]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " # ['Success Rate'],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " [\"target-BC Loss\"],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " # ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 572, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '5', '25', '50'}, 'env_name': {'CarrotPlate-v0'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vary = [\"target_percentage\", \"ce_weight\"]\n", + "split = [\"target_traj_limit\", \"env_name\"]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 584, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '25', '100', '5', '50'}}\n" + ] + }, + { + "data": { + "image/png": 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oFJg1axb27NkDS0tLAJnfU2xtbdGlSxcAGe8p33//Pd57770M96AWLVoAAJRKJfbv35+bw8yShYUF6tevDwCws7PDkiVL4OLiAiDt+7FhwwbpXKxatQoAcP36dWzZsgVdu3bNsD1DzOnvgXK5HOXLlwcAfPjhh6hXrx6cnZ2xbds2/Pjjj1Cr1Zg0aRJatmyJBg0aGG2va9euGD16NKZOnSrd28y9B6f/vrRp08ZoHcNnOn2Tnldp3rw5KlWqlKEzvaw+M7t370ZiYmKWf2MuXLiAlJQUaXpYWBj++eefDOdXLpejWbNmGY6PiIhen/wdYJUoH1SpUgXXr1+Xfler1dixYwf++OMPADBq+wb8fy/HTk5ORslFeob2kYZ2hQaGdqYJCQlG03fv3g25XI6OHTtm2JazszPs7e0zba/3uhiOOX1Smd6oUaMwatQo6feYmBisW7dO6nH65XOYfpuFVVYJZfp5hvbDufXjjz/ixx9/zJNtmaN48eLSzxqNJtNjTv+5S7+8Kdzc3ODn54eVK1fi+PHjOHnyJLy8vJCamopVq1bh559/znLd/Pheuri4YMCAAVi2bBkWLlwIHx8fad7GjRuzbIttrm7duqFbt27S78+ePcP69evxzz//ZBt7Vt8vIPt7yubNm43uKc+ePcOpU6fg6uqK1q1bGy2v1+tRqVIlAGltzPOLXJ72Pr148eIZvuu2trYYNGgQFixYgHPnzgFIayMthMCvv/6KdevWGS3/4sULKeb4+Hgpoc3uvB05cgSxsbGoXbt2hnkWFhZYsGCB0bS8vAfb2NgASBvj3FRNmjQxauednJyMzZs346+//gKQ8TOT1eehRo0asLCwgFarxfPnz6Xv7O7duwEAgYGB+P77743WefbsGSpVqmT0QpGIiF4fJtD0xkpISMAvv/yCR48eoV+/fujbt2+OO+YylGrcuHHDaLqh1PXlB77bt2+jVKlSUkdTb6rz589jyZIlqFSpEj799FPs2bMHDx48KOiw8o14w4e9T196nZSUlGnpefoOqnJS2j1hwgSsXr0aer0es2fPxp9//omNGzdCLpfj448/fuX6efm9BIBx48ZhxYoVOHToEK5cuYJ33nkHKSkp2LVrF3766accbzczt27dws8//wx7e3upc6dr167laFvOzs54+PAhbty4gSZNmkjTM7un3LlzB0IItGnTRnrhUNgYOqczJPG3b98GkFZToV27drnevqF2iCHZfpX8uAfn5P7w8OFDLFy4EBqNBoMGDULHjh1x+vTpDMtl9TdGLpfD2dkZ8fHxRsPSGc7vmjVrpBoZRERUOLAKN72Rtm/fjho1aqB27dr47bffpCptOWUo2frzzz+Nxok19Ej90UcfGS2vVqsRHx//xo7BqlarMWrUKPTv3x/ffvstJk+enKFqIRU+6XvezupFR0xMDIC0kt2cJNDVq1dH9+7dAQA7d+7EjRs38Ntvv+HTTz/NsqTYIK+/l4Z4DNVYDSXgu3btwnvvvQc3N7dcbx9IS5y+++47eHt7Y9SoUfj+++9RpUqVXG3TcE8xVOU2iI6Ohkwmk84xAGnYsMLcs7Lhs2RIcPM6ZsOLn8xGAchMYbgHL126FO+++y66du2KuXPnZtm8AQA6duwICwsL3LlzxyjBViqViIuLQ5cuXYxqlLwJnwkioqKKCTS9cQ4ePAhfX1+0a9cOvr6+ebLN3r17Y+jQoYiPj4e/vz/UajVSUlLwww8/oFOnThg+fLjR8q6urkhNTUVERESW24yJiSm0Dz/Dhg3D4sWL8fPPP+eqTW5RFRAQgJo1a+bo38tD9pjjnXfekUow//3330yXuXLlCgCgbdu2Od7PxIkTAaRVHx40aBDOnj2b4Tvwsvz4Xhp8/fXXAID169fj2bNneVp9GwC+/fZb6V/NmjXzZJuzZs1CgwYN8Ndff0ljct+9excrV67E9OnTpRJd4P9LpSMiIoxe4L3s8uXLBVaLwlD12NPTE8D/x5zdkE1A2tBrpjC0uQ4LC8u0CQmQ9qLDMFRXQd+DV69ejREjRmD48OFo3rz5K5evUKECli1bBgsLC4waNQpPnjyRXtyUL18+QxV1U86vVqvN8j5ARET5hwk0FUqG9niZlS7MnDkTer0e1apVM5puaFOY0wfMZcuWoUOHDjh//jyaNWuGTp06wdfXFzt37pQ6BjIwdL4VEBCQaYwpKSnw8/OTSuyyO56cyM327t+/L43zm9fn8G2S3Tl++PAhrl+/nqN/Dx8+zHFMMplMShyzqroaHh4OAPDz88vxfho3bgxvb28AwMmTJ9G+fftXlsjm1/cSAN5//300adIEKSkpmDt3LsLDw81O0rO6nmq1GnPmzAGQt98HBwcH7Nu3D1WqVMHSpUvRtGlTjBo1CqtXr8Y333xjtGzVqlXh4uKC+Pj4DOMRG1y/fh1Tp06V2hHn9T3lVQzt2w2dXhnugatXr860cz4grXr3+fPnTdr++++/DyBt3PW5c+dmusyPP/4o1bww9x6cE9mdY8O48eZ8ZgYPHozvvvsOiYmJ6NChA1q0aAGdToezZ89KHawZGI5v7ty5ePLkSabxffnll7ka+5uIiHKGCTQVSoa2nXFxcdDpdAD+/yHGkIBs375d6vTlv//+w++//w4AiIyMhE6nQ1xcnNF6WZVqAGkd3XTt2hXjx4/HyZMncerUKRw4cAAjRoyQHqLSM5TGHTp0CJ988gnu378vzbt48SJat26Njh07ws7Ozuh4Hj9+LC2Xmwff7M5P+p8zO+ZHjx5JD3fBwcHS8qtWrZI6Ebt16xZ0Op1ZneqYQ6VSST8b4k/P0PnPy50AZdcpUPrtvFyKl369lx9ss9pXduc4ODgYIm0YQLP/Gc55ZpRKpdF+MvPVV1/B0dERmzdvztApWnh4OG7evAkvL69MO1cyh6EUGgBGjhz5yuXz43uZ3vjx4wGkJept27bN0NP6q2T1HXzx4oXU+/HatWuluHbt2iWV/hm+F4ZSWFNiv3jxIvr374/9+/fjxIkTOHbsGEJDQzOtGSCTyaR7yrRp0/Ddd99JVZqFENi5cye8vb2Nrkle31MM0n83DTQaDVatWoV3330X/fr1AwC0b98elStXRmpqKtq1a4ewsDDpu5WQkICJEydiw4YNRjUFsjtvtWrVktpST548Gd9//730+X7+/DkmT56Mhw8fSr2Fm3sPzu7cGKpLvyy7c2z4vG/cuFG635w8eVLqGdvwmUn/eZ8wYQLkcjkuXryI06dP4/Dhw/jxxx/h4OCQYd99+vSBvb09njx5gg8++ABnzpyR5j18+BADBw5EVFRUhp7jiYjoNXgNQ2URmS01NVWUKlVKABDTp08X4eHhYtiwYUKr1Yphw4ZJ43kWL15cVKhQQVStWlVs375dmu7q6irGjRsnhBDip59+EgCEQqEQt27dynR/6ce/ffmfjY2NaN26tbh8+bLROoaxYwEImUwmKlasKJydnQUA0bdvX6HX66VlY2JihIWFhTQG6V9//SXGjh2bL+fn/v37wsrKKssxYhMTE0XJkiWl2EuXLi1KliwpRowYIUaNGiUACAsLC+Hq6mo0jnClSpXybBzo9GMV//nnn0bzHj16JBQKhQAgZs2aZTTvn3/+kdYLCwszmnft2jVpXnBwsNG8P/74Q5pnGGNYiLQxVevVqycAiE6dOhlds+zOcX54/PixKFOmjAAgatSoIZKSkrJcNjQ0VNjY2IhPPvlEKJVKIYQQUVFRwsPDQ7i7u2cYWzun6tevLypUqGDSMefH9zI9rVYrfQZfHqPaFKdPn5bGOd6+fbvYvHmzNO67h4eHFKOTk5NwdXUVXbp0ETNmzJC+36VLlxY7duwQOp1O+Pj4SNcpq/G4DWMhZ/avVKlSws/Pz2hc55SUFNG4cWNpmWLFigl3d3dha2srZDJZhrGoN2/eLAAIFxcXcfDgQbFs2TKxZMkSs8+LgWHccwBi0qRJIjk5WQghhFqtFp999pmoUKFChut09OhRaVxrw3FVrFhRWFhYiPLlyxst/+LFC1G2bFkBQAwaNCjTGKKiokTFihWl7VlYWAhnZ2chl8tFy5Ytpc+6gTn34MjIyCzHR1+0aJEAIOzs7Iw+69ndt9u2bSttz97eXri5uYlGjRqJVatWSdPLlCkjFi5cKIQQYteuXVl+HhQKhahdu3aGMa03bdok3QsN359y5coJuVwu6tatK42JTURErxcTaCq0Nm/eLNzc3ISjo6MYOHCg9LAZFxcnevbsKezt7YWrq6sYMWKENK9Hjx6iRIkSYtCgQSImJkbUrFnT6EHF2tpaNGzY0OjB1bDNdu3aiTZt2ojatWuLUqVKCWtra6N1y5cvLxITE43WW7VqlXjvvfeEjY2NKF68uPDy8hK///57psezcOFC4ezsLFxcXMSYMWNESkpKnp+f0aNHZ4jbw8NDrF271mjd8PBw8e677wpra2tRp04dsWLFCiGEEP/++6+oUKGCKFeunFi3bp3ROnmVQDdt2tToodDS0lI0bNhQJCYmivfff184ODgYxf/uu++KmJgY0a9fP6OHdWtra9GuXTshhBCDBg0Sjo6ORg+kjRo1EkII0atXL6P92dvbi6FDh4oxY8aI8uXLG+2rUqVKYs+ePdme47yWmJgoGjRoIGxsbIxisbe3F40aNRIJCQmZrnf58mXRr18/Ub9+fdGiRQtRt25dMWnSpDyNccOGDWL69OkmLZsf38uXBQQEiFKlSgm1Wp2j45kwYYJwcHAQ5cqVE9OnT5eSpYsXL4rmzZsLGxsbUbVqVTFr1iyh1WrFo0ePRO3atYWTk5OYO3euOHTokJQEpk8ae/bsmWFf//77r6hZs6Zo27atqFKlinBwcBCWlpZG63br1s1onaSkJBEYGCiqVasmLC0tRcmSJUXXrl3FsWPHMmxfo9GIgQMHCltbW1G1alWxaNGiHJ0TA0MCXalSJfHbb7+J+vXri/fff1+89957YvTo0SI2NjbT9S5duiR8fX2Fk5OTsLS0FO7u7mLs2LFGy8+ePVvY2tpm+K7Nnj07w/YePXokRowYIcqWLSssLS2Fh4eHmDFjhlCpVJnu35R78F9//SWaNm0q7bt+/fpi+fLlQggh5syZIyXdAETXrl3FmTNnpHWzum9HRkaKDh06iBIlSojy5cuLSZMmiZSUFKFUKkXz5s2FnZ2dGD9+vNDpdEKItOs1adIk4enpKRo2bChcXFxE8eLFhVwuN7pvRUREGMX+999/iw4dOggHBwdhZWUlatasKb799lvpBQcREb1+MiEKR2PHhIQE7Nq1CyVLlkTnzp2zXVapVGLTpk2wtbWFRqNBbGwsBgwYkGk1KCJT/P777/jrr7+wceNGo+lCCCQnJ+PKlSsYMmQI5s+fnydDtryJKleujHv37uHYsWMmdZpDlNdGjBgBmUyGxYsXF3Qo2RJCYMSIEahbty78/f2N5un1esTHx+Pw4cMYOnQoYmJipHGIC9Lhw4fh7e2NSpUqGY1vTHnj/PnzGDFiBA4ePAhbW1ujeampqbh37x4CAwPh4eEhta8mIqLCqVC0gT5//jzWrl2LnTt3Ijk5OdtldTodZs+eDZlMho8//hh9+vSBu7s7vv/++2zbRxJl5dChQxg2bBhmz56dYZ5MJoOtrS2aNm2KESNGGI2xW1Q5OjoWdAhUBGm1Wmzfvh2DBg0q6FBeadq0aTh8+DBGjRqVYZ5cLoeTkxN8fX3Rpk0bqd07vb2ePHmCjh074osvvsiQPAOAtbU1atSogSlTpvBvDBHRG8CioAMA0obFKFu2LP7+++9XLnv8+HFcvXoVw4YNk6a1adMG69evR1hYGDp16pSfodJb6Pvvv4eTkxMqVqyY7XJPnjxB375983TfrVu3NnudrHpfzm9qtRqWlpZSr7PBwcHZdoiVmUGDBr0RCRAVPitXroSbmxuaNGlS0KFkS6VSYdasWejWrVumHRCmV7p0aamjqrxw4cIFjBkzxqx16tevn2EIJcpbS5YswePHj9GoUaNsl4uMjMx1539ERJT/CkUCDeCVDxoGJ06cQIkSJeDm5iZNK168OMqXL4+jR48ygSazxcfH49GjRzh+/HiWVZMPHz6MGjVqwMnJKU/3XVDJ8KsolUqsX78eXbt2RenSpSGEwLNnz9CpUydpWBgmw5SfNmzYgK1bt+KDDz5AmTJl8PXXX2PNmjUFHdYrpaSkQKVS4ciRI4iLi8vynvHbb78ZvQjOC/Xr18/xPcXQ03xmvXBT7sTHxwMAtm3bhsmTJ2e6THR0NM6dO4epU6e+ztCIiCgHCk0Cbaq7d+/C2dk5w3QXFxecP38eWq0WFhZv3GFRAQoKCkKvXr3Qrl07DB06FJ06dUKZMmWQkJCAyMhI7NmzBx999JHRcCxvu82bN2PYsGGoUaMGDh48iMjISFhaWuKHH34o6NCoiPjhhx9w9epVhISEAAC6d++OHj16FHBUr1ayZEmMGTMG8+bNQ/369fH555+jadOmKFWqFB49eoT//vsPx44dw+TJk+Hp6VnQ4UouXrwIIK2mTWRkJCpXrlywAb1F/P39sX79enzzzTc4d+4c+vbti8qVK0OtVuP+/fvYt28fypcvn2F8cCIiKpzeuEwzMTERpUuXzjDd2toaOp0OSUlJGdpoHjhwAAcOHACQNoYoUXofffQRIiIiMH/+fISGhmLp0qUoXrw4atasic6dO2PRokV5XvJc2HXt2hU+Pj44ePAg6tevDy8vLxw9ehR16tQp6NCoiBg7dqw09nO/fv3w008/FXBEpps7dy68vb2xaNEi/PLLL5gyZQpKlSqFBg0a4JNPPsEff/wBS0vLgg4TAJCcnIyWLVvi/PnzANI6Oatbty7q1KmDDRs2wN3dvYAjfPNVrVoVly5dwi+//ILt27djwIABkMlkqFSpEtq0aYNx48ahZs2aBR0mERGZqND0wv3kyRP4+/vj448/Rs+ePbNcbuDAgahcuTK+++47o+m//PIL/v77b6xatSrTTjrSi4mJyZOYzeXs7IzY2NgC2Te9XrzWRQevddHBa1108FoXHfl9rdM3OSSit0Oh6IXbHI6OjkhNTc0wPTU1FVZWVq9MnomIiIiIiIhy4o1LoN3d3TN9UxgbG4tKlSoVQERERERERERUFLxxCXSzZs2QmJiIx48fS9NSU1MRHR2Nli1bFmBkRERERERE9DYrNAm0VqsFALzcJPvo0aP48ssvcf/+fQBAw4YNUbVqVYSFhUnLHDp0CKVKlWICTURERERERPmmUPTCffnyZezbtw8AcOrUKZQrVw4NGjRA8eLFkZycjBcvXkhjUyoUCnzzzTdYu3Yt/vjjD1hYWCAmJgbffvstbGxsCvIwiIiIiIiI6C1WaHrhfp3YCzflN17rooPXuujgtS46eK2LDvbCTUTmKjRVuImIiIiIiIgKMybQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCZgAk1ERERERERkAibQRERERERERCawKOgAAODEiRO4fPkyypYti1u3bqFNmzaoX79+lsv/999/OHLkCMqUKYPnz58jOTkZfn5+sLOze31BExERERERUZFS4CXQhw4dwtq1azFw4ED4+Phg4MCBmD9/Pq5du5bp8vfv38fMmTPRp08fdO/eHQMHDoSzszN+++231xw5ERERERERFSUFmkArlUqsXbsWLVq0gLW1NQDAyckJnp6eWLVqVabrXLx4EXK5HA4ODtI0Dw8PXL169bXETEREREREREVTgSbQFy9eRHJyMqpXr2403cPDA5GRkYiKisqwjr29PZKTk3Hq1Clp2t27d1GlSpV8j5eIiIiIiIiKrgJtA3337l0AgLOzs9F0FxcXAMDt27dRsWJFo3lNmzbF3r178csvv+DFixcoWbIk/vvvP4wePfr1BE1ERERERERFUoEm0ImJiQAgVd82MPz+/PnzDOtYWlrim2++wbx587BixQqULFkS06dPR6lSpbLcz4EDB3DgwAEAwMyZMzMk7K+LhYVFge2bXi9e66KD17ro4LUuOnitiw5eayIyV4Em0BYWabuXyWRG0w2/G+a/7Pnz57C2tkaXLl3w119/YeLEiZg0aRJq1KiR6fIffvghPvzwQ+n32NjYvAjfbM7OzgW2b3q9eK2LDl7rooPXuujgtS468vtau7m55du2iahgFGgbaEdHRwBAamqq0XTD75mVKj99+hRTp05F7969MWDAAEybNg0WFhaYM2cOVCpVvsdMRERERERERVOBJtCGjr/i4uKMphveBFauXDnDOgcOHICjoyPKly8PIK3DsVGjRuH58+fsiZuIiIiIiIjyTYEm0HXr1oWdnR1u3rxpNP3mzZuoWrVqptVeNBoN9Hq90bTatWsDAOTyAh/WmoiIiIiIiN5SBZpxKhQK+Pr64ujRo1Cr1QCA+Ph4RERE4OOPPwYArFy5EoGBgdBqtQCAZs2a4eHDh4iMjJS2c/PmTbi4uGTZBpqIiIiIiIgotwq0EzEA6NSpEywsLLB06VJUrFgRt2/fhr+/Pxo2bAggrcOw58+fQ6fTwcLCAtWqVcPEiROxYcMGlC9fHjY2Nnj69CmCgoJgY2NTwEdDREREREREbyuZEEIUdBCvW0xMTIHsl716Fh281kUHr3XRwWtddPBaFx3shZuIzMVGw0REREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAIm0EREREREREQmYAJNREREREREZAKLgg6AiIiIXk0IAZVKBZ1OBwCQyWQFHNHb6/Hjx1CpVAUdBr0G5lxrIQQAQKFQoFixYvwOEhVRTKCJiIgKOSEEkpOTYW1tzQf318DCwgIKhaKgw6DXwNxrLYSATqdDcnIySpQowe8iURHEKtxERESFnEqlgrW1NSwsLPjATlSAZDIZLCwsYG1tDbVaXdDhEFEBYAJNRERUyOl0OpaIEhUiCoUCWq22oMMgogLABJqIiOgNwJJnosKD30eioosJNBERUSHHh3WiwoffS6KiiQk0ERERERERkQmYQBMRERERERGZgAk0EREREdH/3Lp1q6BDIKJCjAk0ERERERVaT58+xYQJE/Drr7/iu+++w6RJk5CcnJztOsnJyZg6dSqaNGmCGjVq4KOPPkJERESG5W7fvo0KFSqgXLly0r+//vorvw6FiN4CMiGEKOggXreYmJgC2a+zszNiY2MLZN/0evFaFx281kVHQV7rlJQUFC9evED2XRCUSiVsbGwKbP8WFhbSEEUFHUtB0Wg00pjHBSkpKQldu3ZF//79MWTIEABAUFAQ7t69i3Xr1mW53siRI1GtWjXUrl0b165dw9KlS6HVarFv3z5UrVpVWm7ixImoWbOm9P2Sy+Xo2LEjbG1tXxmbKd9LNzc3Uw6TiN4gLIEmIiKiQuPFixcICgoq6DAApCWRX3/9dUGHUSB+/PFHPHz4sKDDwIoVKxAZGYnevXtL0wYOHIjw8HDs27cv03XOnj0LLy8vjBs3Dh07dsTYsWPx008/QalUYvv27dJyjx49Qnx8PAYPHoxevXqhV69e+OSTT0xKnomo6GICTURERIWCUqnE8OHDERkZWdChQKfTYfz48ZlW+33brV+/HkuXLi3oMAAAO3fuRPXq1VGiRAlpWrVq1eDg4ICtW7dmuo5Go0Hfvn2Npnl7ewMAnj9/Lk1btmwZdu/ejffeew/jxo3DlStX8uEIiOhtU7D1coiIiCjH9BuXQ0TfLegwjMgquEPee1iO1t27dy9u3LgBAJgyZQq8vLxQoUIFrF69GnXr1sXly5eh1WoxY8YMlChRAteuXcPOnTtx9epVfPXVVxg1ahQsLS0RHh4OmUyGjRs34ubNm4iNjcXWrVuhUCjQvn17+Pn5oWXLllAqlVi4cCFevHiB27dvS+1mvby8cPToUVy4cAEJCQmYMmUKatWqhT59+rzyGG7duoVt27Zh586dWLlyJQIDA3Hu3DlUqlQJM2bMgJeXF4C0BH3RokV49OgR7t+/jwcPHmDChAlo164dHj9+jN27dyMkJAQLFixAQEAArl69itDQUFStWhUnTpzA/v374eDggJMnT8LLywtjxoyRxiVes2YNrl27htjYWFy/fh3Dhw9H3759ER8fj02bNmHXrl0YNmwYLl68iM2bN8POzg4LFixAkyZNcPfuXezevRsAMH/+fLi4uCAgIABKpRIzZ86Eq6srtFotjh49isDAQHh6ehod+7Jly+Dk5IQNGzbg6dOnaNCgAZo1a4aAgAAAwK5du3Ds2DEkJSXh0qVL8PX1xZdffinF3rVrVygUCmzfvh0qlQo3b95E27ZtM5xnNzc3XLx4MdNr0LRp0wzTUlNTAQDvvfeeNK127drw9/fH8ePHsXHjRmzduhU//vhjhuSbiCg9JtBERERUKPTo0QPr168HAEybNg0A4Onpid69e2PQoEHQarV45513UKVKFYwePRo2NjY4fvw47t27h0uXLmHq1Kk4fvw4ZDIZ9u/fj/nz5+PUqVOQyWTQ6/UICQnBlClTUKFCBQDA8OHDMX78eNStWxcA4OfnBz8/P5w5cwbe3t7YsWMHlEqlFIspbGxscOvWLURGRiIsLAy//PILIiMj4e/vj8GDB+P48eNwcnJCUFAQWrRogS+++AIAEBAQgKFDh+LQoUOwt7dHVFQUzp8/j23btmHy5MlYt24dHB0dERoais2bNyM4OBgKhQK1atXCkCFDULVqVfj4+GDx4sVQKBSYMWMGAGDRokUYP348ypcvj+bNm6Np06aYPn06tm3bhsDAQIwbNw6+vr6YOnUq9u7dC3d3d3Tr1g1HjhzB2LFjpXO1YMEC7Nq1C2fPngUAPH78WEo+gbROu/r27Yv58+ejefPm8PLyQp8+fdC6dWuMGzcOABAaGoozZ85g5syZANJKl0eOHAkXFxcpaXV0dJTOZUJCAvR6vVHps0GJEiVw584dk6/L8ePHUa1aNXTs2FGa9vHHH0vt3U+cOIEvv/wSEydOxHvvvYfq1aubvG0iKlqYQBMREb2hclrS+yYZMGAA3n//fQCATCaDra0t7t27BwCoVKkS3N3dce/ePfj5+QEA2rVrBwD4888/4erqKpVs+vr6IiQkBLGxsahQoQIiIiJw8uRJbNmyBVu2bAEAWFtbo1q1aoiKikKdOnVyFG+5cuVQs2ZN7NmzB/7+/pDJZChbtiwCAwPh7++PLVu2oFu3bli7di0UCgVOnjwJAEhMTES9evVw9+5dtG3bFrVq1QIAfPTRR/Dw8ICnpyd0Oh2CgoLw888/Q6FQAADat28vJa0qlQoLFy5Ehw4dMGXKFABpnXB5enoiOjoaCoUCTk5OAIDOnTtLSWKrVq2wfPnybI+rRYsWcHBwkH63s7OTrgMAnD59Gg8ePEDp0qUBAC1btkTp0qWNOt6bPXs2atSoIcWmVqvh6emJx48fS8usXbtW+tnKygoApGuYnlwuh6WlZbYxG2i1WixfvhwLFy7Mcp1mzZphw4YNaNu2LXbu3Flk274T0asxgSYiIqJCa+zYsYiJicHKlSthYWEBjUYDvV5vtEyxYsUyrKfRaHD//n0IISCTyVC+fHnIZDJUqlQJQFpHU7a2tpmWLqfvhTs30id+hpcAkZGROH/+PPR6PQIDAzONPT1ra2vp5xs3buDp06coW7as0T569uwJALh8+TISExPh7++PatWqmRynlZUVVCpVtsu8//77aNKkCUJCQhAfH4/bt28j/UAuGo0GABAVFSXt283NDZUrVwYAxMfH486dO5g+fTpat25tUlwlS5aElZUVUlJSMsxLTk5GmTJlTNrO7NmzMXLkSNSvXz/b5Tw8PNC4cWM8efLEpO0SUdHETsSIiIio0Fq2bBnGjRuHjz/+GAMHDjRKKLMzYMAAPHv2DDt27AAAXL16FYMGDUKpUqWkZWJjY5GYmJhh3VclkzlhZ2cHALC3t5emZdZZWnb7NiSp0dHR2e7L3O2a4r///kPHjh1Rvnx5DBkyRCohN2jRogU8PDywevVq6PV6JCcnQ6PRGPWenVVsarU6y/3WqVMn0+FHY2JiTKolEBwcDA8PD3Tu3PmVywJpVchdXFxMWpaIiiYm0ERERFSoGEqYL1y4gO+++w6DBw+Wqg+/XPqclZYtWyIoKAihoaFYtGgR1Go1pk+fLs338PCAXq/H6tWrjdaLjo5GSEgIAEhtp/NCVFQUgLTq0h4eHgCAlStXGi2TkJCA33//PcttVKlSBRYWFli1apVR6a9SqcSBAwfg7u6e6XyVSoUlS5aYHKuh5Dz9sX/++eeoXLkyGjdunGEekNb2Ozg4GEqlEj/88AP++OMPrFu3TrpuJUuWhLOzM9asWWOUMAsh8OuvvxrFm56Pjw+uX78OpVIpTbtz5w7i4+Ph6+ub7XFs2rQJVlZW+OSTT4z2d+3atUyX12q1uHLlCtq3b5/tdomoaGMCTURERIVGqVKlcO/ePahUKvz9998AgIiICGg0Guzfvx/x8fF49OiR1LZWr9dnWt16zZo1OH78OLp06YJy5crBysoKR48elZK3Vq1aoVatWpgzZw7mzJmDM2fOYPPmzZg8eTJ8fHykWOLi4vDs2TNcvHjR7Grd6UuKV6xYgQ4dOqB58+bw8PBAmzZtsH79egQGBuKff/5BaGgoPv/8c3Tr1g0ApIQy/T5tbW0xePBghIeHY8CAAQgNDcWOHTswbtw4NG3aFLa2tujXrx+OHDmCUaNG4fjx4wgLC8PQoUOlpDCzYzCcE0NSbCilv3HjBh4/foz79+8jJiYGN27cQHx8PKKjo3Hs2DHpGBMSEnDv3j0MGzYMn3zyCerVqwdXV1dEREQYlR6PGDEC169fh5+fHw4fPowjR47gs88+Q6NGjaSkfcCAARg0aJC0Tp8+feDs7IzNmzcbXdsGDRpIVcGvX7+O5s2b488//5SW2blzJ3bt2gV7e3vs2rULu3btws6dO/Hll19CoVDgxIkTGDJkCMLCwqR15s6di+7du6NevXomXV8iKprYBpqIiIgKjYEDB+LEiRPo2LEjJk6cCG9vb6xcuRKHDh1CQEAA/Pz8sGnTJixfvhy1a9fGiRMn8PjxYyxfvhydOnVCuXLlAACurq64du0arly5gmfPnkGlUkEIgXr16mHnzp2wtLTE6tWrERgYiCVLlmDNmjXw9vbG3LlzUaJECWi1WvTs2RM7duxA586dMW7cOLz77rtmHUtwcDB0Oh1iY2Ph4uJiVAK+cOFCTJkyBVu3bkVISIjUO3bp0qUREREhdWy2ePFi9O/fX0rqJk+eDLlcji1btuDMmTNo2bIlvv32W9ja2gIAgoKCAKQlkAcPHkT9+vXxzTffoGbNmkhISMCqVasApA0n1aBBA6SmpmLv3r0A0nrs/uyzz9C8eXM0bNgQo0ePRr9+/RAQEICJEyfip59+QuvWrdGrVy8EBARg8ODBGDNmDBYtWgQrKytYW1tjyZIlePjwIVJSUqDT6WBtbY2NGzeiUaNGGD58OJKSkrBhwwapGviECRPQokUL6bwkJCQYnUM7OzuEhITghx9+QFxcHFJTU5GYmIh169ZJHakplUrExcVJYzwfPnwYX375JTQaDQ4dOmS0vcaNG8PDwwMqlQrR0dH49NNP0aZNG7i7u8PLywsffPCBWdeYiIoemciqzsxbLLO2NK+Ds7OzUW+U9PbitS46eK2LjoK81ikpKShevHiB7PtNJITApEmTMGTIEKmnaSEEnj9/jsWLF6NLly7S0FWZyW0nYnPnzsW8efPw4MGDHG/jTRMeHo5Lly5h9OjR0rTU1FRcvnwZe/fulRL7wiY319qU76Wbm1uOtk1EhRdLoImIiOitEhoainPnzmHWrFnSNJlMBkdHR7i7u5vce/PLunfvjocPH2a7TPpqxEWFSqWCv78/Nm3aZDTd2toaNWrUwNWrVwsoMiKivMcEmoiIiN4qGo0G169fx6pVq+Dj4wN7e3s8efIEYWFhueplefv27SYtp9PpAKS1LTaMZfw2M7RDnzt3LgICAlC5cmUkJSXhwoULOH36NMaOHVvQIRIR5Rl2IkZERERvFV9fXwQFBSE4OBiNGjXCe++9h2nTpsHT0xM9evTI132Hh4djz549AIBZs2bhypUr+bq/wsDGxgYbN26EUqmEj48PateujQEDBuDBgweYMGHCK8e6JiJ6k7AN9GvEtpJFB6910cFrXXSwDXTRkds20PTmYBtoIjIXS6CJiIiIiIiITMAEmoiIiIiIiMgETKCJiIiIiIiITMAEmoiIiIiIiMgEeZJAv2pMRCIiIiIiIqI3ndkJ9LVr1zB37lz89NNP0rTk5GTMmjUL0dHReRocERERERERUWFhVgJ96dIlTJs2DadPnzYaCqpatWoYMGAAZsyYgUePHuV5kEREREREREQFzawEetOmTahYsSKGDRsGZ2dno3lly5ZF3bp1sXHjxjwNkIiIiIgot4QQuH37dkGHQURvOAtzFo6Li8PPP/8MKysrXLhwIcN8R0dHHDlyJK9iIyIiIqIi7unTp/jpp59QsWJFxMXFQalUIigoCCVKlMh2vaNHj6JPnz5G03777TdUrVo1P8MlorecWQl02bJlYWVlleX8GzduIDk5OddBERERUdGlVCphY2NT0GEAKFyxvE4ajQYymQwWFmY9Kua5pKQk9OzZE/3798eQIUMAAEFBQRg+fDjWrVuX7brBwcGYO3cuZDIZAMDKygpdunTJ95iJ6O1mVhVuV1dXREVFZTpv+/bt+O+//1C5cuW8iIuIiIiKoBcvXiAoKKigwwCQlkR+/fXXBR1Ggfjxxx8LxSgrK1asQGRkJHr37i1NGzhwIMLDw7Fv374s17t48SLKli2L3r17o1evXujVqxd69OhR4C8EiOjNZ9ZdpGfPnvj+++/h6emJ2NhYHDx4EPHx8Thz5gwiIyMhk8nQs2fP/IqViIiI3mJKpRLDhw+HRqMp6FCg0+kwfvx4REREFHQor9369euxdOlSDB48uKBDwc6dO1G9enWj6trVqlWDg4MDtm7divbt22e63q+//oo9e/bg8OHD8Pb2xtChQ1nIQ0R5wqwE2snJCd988w3WrFmDe/fuYdmyZdK88uXLw8/PD/Xq1cvzIImIiCijFRGPcTc+taDDMOJe0hpD3yudo3X37t2LGzduAACmTJkCLy8vVKhQAatXr0bdunVx+fJlaLVazJgxAyVKlMC1a9ewc+dOXL16FV999RVGjRoFS0tLhIeHQyaTYePGjbh58yZiY2OxdetWKBQKtG/fHn5+fmjZsiWUSiUWLlyIFy9e4Pbt20hOTsbUqVPh5eWFo0eP4sKFC0hISMCUKVNQq1atDO1pM3Pr1i1s27YNO3fuxMqVKxEYGIhz586hUqVKmDFjBry8vACkJeiLFi3Co0ePcP/+fTx48AATJkxAu3bt8PjxY+zevRshISFYsGABAgICcPXqVYSGhqJq1ao4ceIE9u/fDwcHB5w8eRJeXl4YM2aMVFV5zZo1uHbtGmJjY3H9+nUMHz4cffv2RXx8PDZt2oRdu3Zh2LBhuHjxIjZv3gw7OzssWLAATZo0wd27d7F7924AwPz58+Hi4oKAgAAolUrMnDkTrq6u0Gq1OHr0KAIDA+Hp6Wl07MuWLYOTkxM2bNiAp0+fokGDBmjWrBkCAgIAALt27cKxY8eQlJSES5cuwdfXF19++aUUe9euXaFQKLB9+3aoVCrcvHkTbdu2zXCe3dzccPHixSyvQ7NmzVCuXDkcPXoUq1evxsaNG7F06VJ88MEHpnwUiYiyZHY9FmdnZ3z11VdITU1FTEwMtFotSpUqBWdnZzx79iw/YiQiIqIioEePHli/fj0AYNq0aQAAT09P9O7dG4MGDYJWq8U777yDKlWqYPTo0bCxscHx48dx7949XLp0CVOnTsXx48chk8mwf/9+zJ8/H6dOnYJMJoNer0dISAimTJmCChUqAACGDx+O8ePHo27dugAAPz8/+Pn54cyZM/D29saOHTugVCqlWExhY2ODW7duITIyEmFhYfjll18QGRkJf39/DB48GMePH4eTkxOCgoLQokULfPHFFwCAgIAADB06FIcOHYK9vT2ioqJw/vx5bNu2DZMnT8a6devg6OiI0NBQbN68GcHBwVAoFKhVqxaGDBmCqlWrwsfHB4sXL4ZCocCMGTMAAIsWLcL48eNRvnx5NG/eHE2bNsX06dOxbds2BAYGYty4cfD19cXUqVOxd+9euLu7o1u3bjhy5AjGjh0rnasFCxZg165dOHv2LADg8ePH8Pf3x/HjxwEAycnJ6Nu3L+bPn4/mzZvDy8sLffr0QevWrTFu3DgAQGhoKM6cOYOZM2cCSCtdHjlyJFxcXNC3b18AaR3SGiQkJECv12faWViJEiVw586dLK9D+tLz3bt3Y/z48Rg5ciROnTqFUqVKmXw9iYheZlYCHRwcjEGDBgEArK2tUaVKFaP5p0+fhqurKxo0aJBnARIREVHmclrS+yYZMGAA3n//fQCATCaDra0t7t27BwCoVKkS3N3dce/ePfj5+QEA2rVrBwD4888/4erqKpVs+vr6IiQkBLGxsahQoQIiIiJw8uRJbNmyBVu2bAGQ9mxTrVo1REVFoU6dOjmKt1y5cqhZsyb27NkDf39/yGQylC1bFoGBgfD398eWLVvQrVs3rF27FgqFAidPngQAJCYmol69erh79y7atm2LWrVqAQA++ugjeHh4wNPTEzqdDkFBQfj555+hUCgAAO3bt5eSVpVKhYULF6JDhw6YMmUKgLROuDw9PREdHQ2FQgEnJycAQOfOnVG9enUAQKtWrbB8+fJsj6tFixZwcHCQfrezs5OuA5D2DPjgwQOULp32mWzZsiVKly6N2NhYaZnZs2ejRo0aUmxqtRqenp54/PixtMzatWulnw0d1xquYXpyuRyWlpbZxmzQuXNn2Nvbo3fv3ggLC0OvXr1MWo+IKDNmJdDpb3CZqVatGhYtWvTaE+iHDx8iOjoa7u7ucHFxea37JiIiovwzduxYxMTEYOXKlbCwsIBGo4FerzdaplixYhnW02g0uH//PoQQkMlkKF++PGQyGSpVqgQAOHv2LGxtbTMtXbawsIBWq8117OkTP8NLgMjISJw/fx56vR6BgYGZxp6etbW19PONGzfw9OlTlC1b1mgfhv5nLl++jMTERPj7+6NatWomx2llZQWVSpXtMu+//z6aNGmCkJAQxMfH4/bt2xBCSPMN7dajoqKkfbu5uUntjuPj43Hnzh1Mnz4drVu3NimukiVLwsrKCikpKRnmJScno0yZMiZtB0h7AVCpUiU8efLE5HWIiDLzygT61KlTOHfuHADg3r17WLRoUabLqVQq/Pfff1Cr1WYHceLECVy+fBlly5bFrVu30KZNG9SvXz/bdfR6PQ4ePIgDBw6gVatW8PLyQsmSJc3eNxERERVey5YtQ3h4OJYsWQIHB4csn0NeNmDAAISFhWHHjh3o3r07rl69ikGDBhlV342NjUViYiLs7OyM1lWpVFIJb14x7MPe3l6aFhkZiRo1amTYd1ZJtSFJjY6OhoeHR5b7ioyMzJBAZ7ddU/z333/44osvMGPGDHz00UdISEjAX3/9Jc1v0aIFPDw8sHr1arRu3RpKpRIajcao92xDbC9Tq9VZDpNap04dxMTEZJgeExODli1bmnUMjo6OLGgholx75TBWTZo0QenSpXHkyBHExcXhyJEjmf47deoUXrx4gc6dO5sVwKFDh7B27VoMHDgQPj4+GDhwIObPn49r165luY5KpcKcOXNw8OBBTJgwAZ06dWLyTERE9JYwlDBfuHAB3333HQYPHixVH3659DkrLVu2RFBQEEJDQ7Fo0SKo1WpMnz5dmu/h4QG9Xo/Vq1cbrRcdHY2QkBAAkNpO5wXDMKCtWrWSkt+VK1caLZOQkIDff/89y21UqVIFFhYWWLVqlVHpr1KpxIEDB+Du7p7pfJVKhSVLlpgcq6HkPP2xf/7556hcuTIaN26cYR6Q1vY7ODgYSqUSP/zwA/744w+sW7dOum4lS5aEs7Mz1qxZY1TYIoTAr7/+ahRvej4+Prh+/TqUSqU07c6dO4iPj4evr6/Jx/TixQtER0ebXPpNRJSVV5ZAy2Qy+Pr6wsXFBWFhYVn2QGlhYYHSpUsbtY95FaVSibVr16Jt27ZSFSUnJyd4enpi1apVmD17dqbrLV68GNevX8fcuXONOpsgIiKiN1upUqVw9uxZqFQq/P333wCAiIgIeHt7Izw8HPHx8Xj06BFiY2Ph7OwMvV6faXXrNWvW4Pjx4/Dx8YFcnlZecPToUXh5ecHKygqtWrVCrVq1MGfOHKjVarRq1Qp3795FaGgoVqxYIcUSFxeHZ8+eITo6GnXq1DFrHOHo6GipE64VK1agQ4cOaN68OQCgTZs2WL9+PaysrNC1a1c8efIEGzduxLx58wBASijTH5utrS0GDx6M5cuXY8CAAejZsyf0ej327duH2bNnw9bWFv369cPvv/+OUaNGoX///khJScGaNWvwzTffZNiegSGh1ev1kMvlUin9jRs3YG1tDY1GI3UcGx8fj6SkJBw7dkw6Rjs7Ozx//hzDhg3D0KFDpWe6iIgIvPvuu3BzcwMAjBgxAt9//z38/PwwcuRIyGQyrFu3DgMGDJCS9gEDBkAulyM4OBgA0KdPH6xcuRKbN2/GwIEDpWvboEEDKRm+fv06Pv30U3z99dfo0aMHQkNDsXPnTnz22Wdo1KgRdDodpk6dikmTJplV7ZuIKDMm/xVo2bIlypUrh6pVq2a5zNOnT6WbrykuXryI5ORkqRMLAw8PD5w4cQJRUVGoWLGi0bxLly7hxIkT6NOnD5NnIiKit8zAgQNx4sQJdOzYERMnToS3tzdWrlyJQ4cOISAgAH5+fti0aROWL1+O2rVr48SJE3j8+DGWL1+OTp06oVy5cgAAV1dXXLt2DVeuXMGzZ8+gUqkghEC9evWwc+dOWFpaYvXq1QgMDMSSJUuwZs0aeHt7Y+7cuShRogS0Wi169uyJHTt2oHPnzhg3bhzeffdds44lODgYOp0OsbGxcHFxMSoBX7hwIaZMmYKtW7ciJCRE6h27dOnSiIiIkDo2W7x4Mfr37y8NEzp58mTI5XJs2bIFZ86cQcuWLfHtt9/C1tYWABAUFAQgrYfrgwcPon79+vjmm29Qs2ZNJCQkYNWqVQDShpNq0KABUlNTsXfvXgBpPXZ/9tlnaN68ORo2bIjRo0ejX79+CAgIwMSJE/HTTz+hdevW6NWrFwICAjB48GCMGTMGixYtgpWVFaytrbFkyRI8fPgQKSkp0Ol0sLa2xsaNG9GoUSMMHz4cSUlJ2LBhA4YMGYJatWphwoQJaNGihXReEhISjM6hnZ0dQkJC8MMPPyAuLg6pqalITEzEunXrpGr2SqUScXFxeP78OQDAwcEB169fR69evdC5c2eULl0affv2RaNGjcy6fkREmZGJrOrM5MCZM2dw4cIFDBs2zKTlN2zYgD///BOzZ882Gtz+9OnTmDNnDkaOHAlvb2+jdebNm4dTp06hY8eOePr0KW7evAk7Ozt8/PHHaNasmUn7zawtzevg7Oxs1Bslvb14rYsOXuuioyCvdUpKCooXL14g+34TCSEwadIkDBkyRHpJL4TA8+fPsXjxYnTp0kUauiozue1EbO7cuZg3bx4ePHiQ4228acLDw3Hp0iWMHj1ampaamorLly9j7969UmJf2OTmWpvyvTSUvhPR28PscaBPnDghdRaWPvfW6/W4efMm4uPjTU6gExMTARj3MJn+d8ObxPSuX78OGxsbtGnTBpUqVYJer8eyZcuwcOFCODk5ZeiMAwAOHDiAAwcOAABmzpwJZ2dn0w42j1lYWBTYvun14rUuOniti46CvNaPHz82q+pwUbdjxw6cP38etWvXNpru7OyMqlWroly5cq88n5nN79q1Kx4+fJjtejt37pRq4hWVa6ZSqeDv749t27YZHbOtrS3q1KmDa9euFepzkdPYihUrxvs/URFk1h3jwIEDrxwnsGnTpqbv/H83rJfH9zP8ntkNLTExEfXr15eGoZDL5ejfvz/+/vtv7Nq1K9ME+sMPP8SHH34o/V5QJQgsqSo6eK2LDl7roqMgr3V+9Ar9NktNTcW1a9ewbNky+Pj4wN7eHk+ePEFYWBgcHR1RqlSpbEsdsyqV/PPPP03av6G37JSUlCx7l36bqNVqaLVazJo1CwEBAahcuTKSkpJw4cIFnD59GmPHjs2TYcHyQ25KoFUq1SvvCSyBJnr7mJVAh4eHY+zYsXB3d8fNmzchl8ulniQTEhJw8OBBDB061OTtGdowp6amGk03/J5+qAmDEiVKZGhjbWtrC1dX1wKrmk1ERESFh6+vL549e4bg4GBMnz4ddnZ2aNq0KUaNGvXKYTJzKzw8HHv27AEAzJo1Cz169MA777yTr/ssaDY2Nti4cSNmzZoFHx8faLVa1KxZE7169cKECRNM7huHiOhNYFYCXaNGDamE2cXFBRs3bpTaHbu4uODp06fYunVrhjH/slKlShUAQFxcnFSiDPx/CXH6dtEG5cqVy7Rqd/HixXmDJiIiIgDAsGHDTG5Slpe8vb0z9N9SFHh6emLjxo0FHQYRUb4zK+NMP+afXC5H8eLF8e+//xpNO3LkiMnbq1u3Luzs7HDz5k2j6Tdv3kTVqlUzrfby/vvv486dO0hJSTGa/uzZM6k0nIiIiIiIiCivmZ1Af/fdd/juu++QkJCAdu3a4eeff5bG5wsODs6Q2GZHoVDA19cXR48elcYgjI+PR0REBD7++GMAwMqVKxEYGCi1T2nRogWcnZ2xf/9+aTtXr16FSqWCj4+POYdDREREREREZDKzqnD7+vri22+/xcOHDxEfHw93d3cMGzYM8+bNkxLcVq1amRVAp06dYGFhgaVLl6JixYq4ffs2/P390bBhQwBpPXE/f/4cOp0OFhYWKFasGKZMmYLff/8dy5YtQ4kSJRAXF4dp06ZxXGgiIiIiIiLKN2aPA63X65GSkgJbW1tpWkxMDM6ePYuSJUuiWbNmhb4tMseBpvzGa1108FoXHRwHuujI7TjQ9ObgONBEZC6zB76Ty+VGyTOQdnMw3CCuXr2KOnXq5E10RERERERERIVEnhcV7927N683SURERERERFTgTEqgdTodEhMTs11Gr9dj7dq1OH36dJ4ERkRERERERFSYvLIK94EDB7B27VqkpqaidOnSGDNmjDR+s0FsbCwWLlyIGzdu5FugRERERERERAUp2xLoe/fuYcWKFUhNTQUAPH782KjHbQD4559/MGHCBNy4cQN2dnaYOHFi/kZMRERERJQPhBC4fft2QYdBRIVYtiXQ+/fvh5WVFT755BNUqFAB//77L0JDQ3H+/Hl4enoiODgYYWFhAIB69erh888/51BSRERERJRnnj59ip9++gkVK1ZEXFwclEolgoKCUKJEiSzXadWqFW7dupVhupOTEy5duiT9fuTIEfTs2dNomd9++w1Vq1bNuwMgordKtgn0tWvX8Nlnn+H9998HANSvXx96vR5HjhzB5s2bERUVBQsLC/Tu3Rtdu3Z9LQETERHR202pVMLGxqagwwBQuGJ5nTQaDWQyGSwszB6wJU8lJSWhZ8+e6N+/P4YMGQIACAoKwvDhw7Fu3bpM1/n7779Rs2ZNTJw4EZaWltL0zZs3o2TJkkbLrlq1CnPnzoVMJgMAWFlZoUuXLvl0NET0Nsj2rvjixQs0bdrUaFrr1q0xbtw4AEDZsmUxevRouLu751+EREREVGS8ePEC06ZNw5w5cwo6FGg0Gnz99df47bffCjqU1+7HH3/E4MGDUaFChQKNY8WKFYiMjETv3r2laQMHDkSrVq2wb98+tG/fPsM6CQkJWLx4MeRy45aKM2fOxJQpU6TfL168CDc3N6NtExG9SrZtoK2trTO8eSxfvjysrKzg7e2NWbNmZUiez5w5k/dREhER0VtPqVRi+PDhiIyMLOhQoNPpMH78eERERBR0KK/d+vXrsXTp0oIOAwCwc+dOVK9e3ai6drVq1eDg4ICtW7dmuk7Xrl0zJM+3bt3Co0eP0KxZM2nar7/+ilWrVqF58+YIDAwsFJ87Iir8si2BfvnmY1C+fHmMGDEi03mnTp1Co0aNch8ZERERZevKuRS8SNAVdBhG7B0VeKdB8Rytu3fvXmlEjylTpsDLywsVKlTA6tWrUbduXVy+fBlarRYzZsxAiRIlcO3aNezcuRNXr17FV199hVGjRsHS0hLh4eGQyWTYuHEjbt68idjYWGzduhUKhQLt27eHn58fWrZsCaVSiYULF+LFixe4ffs2kpOTMXXqVHh5eeHo0aO4cOECEhISMGXKFNSqVQt9+vR55THcunUL27Ztw86dO7Fy5UoEBgbi3LlzqFSpEmbMmAEvLy8AaQn6okWL8OjRI9y/fx8PHjzAhAkT0K5dOzx+/Bi7d+9GSEgIFixYgICAAFy9ehWhoaGoWrUqTpw4gf3798PBwQEnT56El5cXxowZI1VDXrNmDa5du4bY2Fhcv34dw4cPR9++fREfH49NmzZh165dGDZsGC5evIjNmzfDzs4OCxYsQJMmTXD37l3s3r0bADB//ny4uLggICAASqUSM2fOhKurK7RaLY4ePYrAwEB4enoaHfuyZcvg5OSEDRs24OnTp2jQoAGaNWuGgIAAAMCuXbtw7NgxJCUl4dKlS/D19cWXX34pxd61a1coFAps374dKpUKN2/eRNu2bTOcZzc3N1y8eNHkz1ZoaCjatm1rVKW7WbNmqFChAg4fPozVq1dj48aNWLp0KT744AOTt0tERU+2CfSjR4/wzTffwMrKymj6w4cP8d133xlNE0IgPj4ejx49whdffJH3kRIREdFbrUePHli/fj0AYNq0aQAAT09P9O7dG4MGDYJWq8U777yDKlWqYPTo0bCxscHx48dx7949XLp0CVOnTsXx48chk8mwf/9+zJ8/H6dOnYJMJoNer0dISAimTJkiVUsePnw4xo8fj7p16wIA/Pz84OfnhzNnzsDb2xs7duyAUqmUYjGFjY0Nbt26hcjISISFheGXX35BZGQk/P39MXjwYBw/fhxOTk4ICgpCixYtpGemgIAADB06FIcOHYK9vT2ioqJw/vx5bNu2DZMnT8a6devg6OiI0NBQbN68GcHBwVAoFKhVqxaGDBmCqlWrwsfHB4sXL4ZCocCMGTMAAIsWLcL48eNRvnx5NG/eHE2bNsX06dOxbds2BAYGYty4cfD19cXUqVOxd+9euLu7o1u3bjhy5AjGjh0rnasFCxZg165dOHv2LIC0kVn8/f1x/PhxAEBycjL69u2L+fPno3nz5vDy8kKfPn2Mmv6FhobizJkzmDlzJoC00uWRI0fCxcUFffv2BQCjzmgTEhKg1+sz7SysRIkSuHPnjsnXZffu3RlGihk8eDAsLCyg1Wqxe/dujB8/HiNHjsSpU6dQqlQpk7dNREXLK3uGyKwHQwD4999/8zwYIiIiMl1OS3rfJAMGDJA6M5XJZLC1tcW9e/cAAJUqVYK7uzvu3bsHPz8/AEC7du0AAH/++SdcXV2lkk1fX1+EhIQgNjYWFSpUQEREBE6ePIktW7Zgy5YtANKarlWrVg1RUVGoU6dOjuItV64catasiT179sDf3x8ymQxly5ZFYGAg/P39sWXLFnTr1g1r166FQqHAyZMnAQCJiYmoV68e7t69i7Zt26JWrVoAgI8++ggeHh7w9PSETqdDUFAQfv75ZygUCgBA+/btpaRVpVJh4cKF6NChg9TWNykpCZ6enoiOjoZCoYCTkxMAoHPnzqhevTqAtB6rly9fnu1xtWjRAg4ODtLvdnZ20nUAgNOnT+PBgwcoXbo0AKBly5YoXbo0YmNjpWVmz56NGjVqSLGp1Wp4enri8ePH0jJr166VfjYU4BiuYXpyudyoNDk7t27dQnR0NFq2bJnlMp07d4a9vT169+6NsLAw9OrVy6RtE1HRk20CbW1tjRYtWsDe3j7Tm1d6er0ecXFx0h8CIiIiotwaO3YsYmJisHLlSlhYWECj0UCv1xstU6xYsQzraTQa3L9/H0IIyGQylC9fHjKZDJUqVQIAnD17Fra2tpmWLhtKJXMr/bOT4SVAZGQkzp8/D71ej8DAwExjT8/a2lr6+caNG3j69CnKli1rtA/DMEyXL19GYmIi/P39Ua1aNZPjtLKygkqlynaZ999/H02aNEFISAji4+Nx+/ZtCCGk+RqNBgAQFRUl7dvNzQ2VK1cGAMTHx+POnTuYPn06WrdubVJcJUuWhJWVFVJSUjLMS05ORpkyZUzaTmhoKD788MNXnusWLVqgUqVKePLkiUnbJaKiKdsE2tvbG4MGDTJrg0VxqAciIiLKH8uWLUN4eDiWLFkCBwcHLFq0yKT1BgwYgLCwMOzYsQPdu3fH1atXMWjQIKOqubGxsUhMTISdnZ3RuiqVSirhzSuGfdjb20vTIiMjUaNGjQz7zirRMySp0dHR8PDwyHJfkZGRGRLo7LZriv/++w9ffPEFZsyYgY8++ggJCQn466+/pPktWrSAh4cHVq9ejdatW0OpVEKj0WTo4TqzjrrUanWG5oIGderUQUxMTIbpMTEx2ZYop7d7926MHTvWpGUdHR3h4uJi0rJEVDRl2wv3hx9+aPYGO3TokONgiIiIiAwlzBcuXMB3332HwYMHS9WHXy59zkrLli0RFBSE0NBQLFq0CGq1GtOnT5fme3h4QK/XY/Xq1UbrRUdHIyQkBACkttN5ISoqCkBadWlD8rty5UqjZRISEvD7779nuY0qVarAwsICq1atMir9VSqVOHDgANzd3TOdr1KpsGTJEpNjNZScpz/2zz//HJUrV0bjxo0zzAPSClCCg4OhVCrxww8/4I8//sC6deuk61ayZEk4OztjzZo1UKvV0npCCPz6669G8abn4+OD69evQ6lUStPu3LmD+Ph4+Pr6vvJYDO3R27Rp88plX7x4gejoaJNLyImoaMo2gS5fvrzZG0xfrYiIiIjIHKVKlcK9e/egUqnw999/AwAiIiKg0Wiwf/9+qcNSQ9tavV6faXXrNWvW4Pjx4+jSpQvKlSsHKysrHD16VEreWrVqhVq1amHOnDmYM2cOzpw5g82bN2Py5Mnw8fGRYomLi8OzZ89w8eJFs6t1R0dHSz+vWLECHTp0QPPmzeHh4YE2bdpg/fr1CAwMxD///IPQ0FB8/vnn6NatGwBICWX6fdra2mLw4MEIDw/HgAEDEBoaih07dmDcuHFo2rQpbG1t0a9fPxw5cgSjRo3C8ePHERYWhqFDh0rjJWd2DIZzYkiKDaX0N27cwOPHj3H//n3ExMTgxo0biI+PR3R0NI4dOyYdY0JCAu7du4dhw4bhk08+Qb169eDq6oqIiAij0uMRI0bg+vXr8PPzw+HDh3HkyBF89tlnaNSokZS0DxgwwKj2Y58+feDs7IzNmzcbXdsGDRpIie7169fRvHlz/PnnnxmObdeuXfD29s5QQzI0NBTDhg2Thl/V6XSYOnUqJk2aZHLVcCIqml7ZiRgRERHR6zJw4ECcOHECHTt2xMSJE+Ht7Y2VK1fi0KFDCAgIgJ+fHzZt2oTly5ejdu3aOHHiBB4/fozly5ejU6dOKFeuHADA1dUV165dw5UrV/Ds2TOoVCoIIVCvXj3s3LkTlpaWWL16NQIDA7FkyRKsWbMG3t7emDt3LkqUKAGtVouePXtix44d6Ny5M8aNG4d3333XrGMJDg6GTqdDbGwsXFxcjErAFy5ciClTpmDr1q0ICQmRescuXbo0IiIipI7NFi9ejP79+6NevXoAgMmTJ0Mul2PLli04c+YMWrZsiW+//Ra2trYAgKCgIABpPVwfPHgQ9evXxzfffIOaNWsiISEBq1atApCWWDZo0ACpqanYu3cvgLQeuz/77DM0b94cDRs2xOjRo9GvXz8EBARg4sSJ+Omnn9C6dWv06tULAQEBGDx4MMaMGYNFixbBysoK1tbWWLJkCR4+fIiUlBTodDpYW1tj48aNaNSoEYYPH46kpCRs2LABQ4YMQa1atTBhwgS0aNFCOi8JCQlG59DOzg4hISH44YcfEBcXh9TUVCQmJmLdunVSNXulUom4uDg8f/48wzXYtWsX/P39M0x3cHDA9evX4evri86dO6N06dLo27cvh2IloleSiazqzLzFMmtL8zo4Ozsb9UZJby9e66KD17roKMhrnZKSguLF3/4et/OKEAKTJk3CkCFDpJ6mhRB4/vw5Fi9ejC5dukhDV2Umt52IzZ07F/PmzcODBw9yvI03TXh4OC5duoTRo0dL01JTU3H58mXs3btXSuwLm9xca1O+l25ubjnaNhEVXiyBJiIiordKaGgozp07h1mzZknTZDIZHB0d4e7unuMqut27d8fDhw+zXSazasRvO5VKBX9/f2zatMlourW1NWrUqIGrV68WUGRERHmPCTQRERG9VTQaDa5fv45Vq1bBx8cH9vb2ePLkCcLCwnLVy/L27dtNWk6n0wHIvnfpt4mhHfrcuXMREBCAypUrIykpCRcuXMDp06dN7gGbiOhNkG0nYkRERERvGl9fXwQFBSE4OBiNGjXCe++9h2nTpsHT0xM9evTI132Hh4djz549AIBZs2bhypUr+bq/wsDGxgYbN26EUqmEj48PateujQEDBuDBgweYMGFCrobPIiIqbMxqA/3vv/8CAORyOWrWrAkgrYfGJUuWID4+Hk2aNMGnn35a6N+2sg005Tde66KD17roYBvooiO3baDpzcE20ERkLrNKoL/77jscPXoU9vb2ANJ6Spw1axYePnyIpk2bIjU1FX/88Ue+BEpERERERERUkMxqA92wYUOMGDFC+n316tVISkrCgAED0LlzZwDAypUr8zZCIiIiIiIiokLArBJoDw8P6ecLFy7g1KlTcHNzQ8eOHaXpLw9UT0RERERERPQ2MCuBfvDgAZ4/f447d+5g8eLFkMlkGDp0KOTytM3odDqcP38+XwIlIiIiIiIiKkhmVeFu2rQpRo0aBa1WC7lcjoEDB6JOnTrQarW4fPkytm3bhqioqPyKlYiIiIiIiKjAmJVAv/fee1iwYAHu3LmDChUqSD0LPn36FElJSWjfvj3at2+fL4ESERERERERFSSzEmgAcHFxgYuLi9G0smXLomzZsnkWFBEREREREVFhY3YC/TK1Wo29e/fi2bNnaNKkCWrVqpUXcREREREREREVKmYl0P7+/nBwcECbNm3wwQcfQAiBWbNm4cqVK7C2tsbBgwfxxRdfoHHjxvkVLxEREREREVGBMCuBVigUCAgIgK2tLQBg7969uHLlCurXr4+vv/4aKpUKy5cvZwJNRERERHkqLCwMv/32G7Zv327S8n///Te2bduGmjVr4vLly2jTpg18fX3zN0gieuuZlUB7eXlJyXN8fDw2btwIKysrDB8+HJaWlrC0tJQ6FiMiIiLKCaVSCRsbm4IOA0DhiuV10mg0kMlksLDIdWu/XLt//z6OHDmCn376CU+fPjVpnSNHjmD48OE4fPgwypQpg+TkZLRs2RIWFhbo1q1bPkdMRG8zs8aB1ul0AAAhBJYuXYrU1FR0794dpUqVkpaJiYnJ2wiJiIioyHjx4gWCgoIKOgwAaUnk119/XdBhFIgff/wRDx8+LOgwAADly5dHv3790KJFC5OW1+v1CAwMxAcffIAyZcoAAEqUKAFfX19MnToVKpUqP8MlorecWa8VdTodZsyYgYSEBNy7dw+1a9dG9+7dpfl79+7FP//8k9cxEhERUSaOHj1qconc6+Li4oKWLVvmaF2lUonhw4dDo9HkcVTm0+l0GD9+PCIiIgo6lNdu/fr1WLp0KQYPHlzQoRhRKBQmLXf58mXcuXMHgwYNMpreoEED/Pbbbzh69Cjatm2bDxESUVFgVgLdr18/7NixAzdv3kTDhg3RvXt3KBQKREVFYceOHUhISECdOnXyK1YiIiJ6i+3duxc3btwAAEyZMgVeXl6oUKECVq9ejbp16+Ly5cvQarWYMWMGSpQogWvXrmHnzp24evUqvvrqK4waNQqWlpYIDw+HTCbDxo0bcfPmTcTGxmLr1q1QKBRo3749/Pz80LJlSyiVSixcuBAvXrzA7du3kZycjKlTp8LLywtHjx7FhQsXkJCQgClTpqBWrVro06fPK4/h1q1b2LZtG3bu3ImVK1ciMDAQ586dQ6VKlTBjxgx4eXkBSEvQFy1ahEePHuH+/ft48OABJkyYgHbt2uHx48fYvXs3QkJCsGDBAgQEBODq1asIDQ1F1apVceLECezfvx8ODg44efIkvLy8MGbMGMhkMgDAmjVrcO3aNcTGxuL69esYPnw4+vbti/j4eGzatAm7du3CsGHDcPHiRWzevBl2dnZYsGABmjRpgrt372L37t0AgPnz58PFxQUBAQFQKpWYOXMmXF1dodVqcfToUQQGBsLT09Po2JctWwYnJyds2LABT58+RYMGDdCsWTMEBAQAAHbt2oVjx44hKSkJly5dgq+vL7788ksp9q5du0KhUJjczjkzV65cAQCUK1fOaHr58uUBABcvXmQCTUQ5ZnYnYh999FGG6RUrVsQXX3yRZ0ERERHRq+W0pLew6tGjB9avXw8AmDZtGgDA09MTvXv3xqBBg6DVavHOO++gSpUqGD16NGxsbHD8+HHcu3cPly5dwtSpU3H8+HHIZDLs378f8+fPx6lTpyCTyaDX6xESEoIpU6agQoUKAIDhw4dj/PjxqFu3LgDAz88Pfn5+OHPmDLy9vbFjxw4olUopFlPY2Njg1q1biIyMRFhYGH755RdERkbC398fgwcPxvHjx+Hk5ISgoCC0aNFCen4KCAjA0KFDcejQIdjb2yMqKgrnz5/Htm3bMHnyZKxbtw6Ojo4IDQ3F5s2bERwcDIVCgVq1amHIkCGoWrUqfHx8sHjxYigUCsyYMQMAsGjRIowfPx7ly5dH8+bN0bRpU0yfPh3btm1DYGAgxo0bJ1Vt3rt3L9zd3dGtWzccOXIEY8eOlc7VggULsGvXLpw9exYA8PjxY/j7++P48eMAgOTkZPTt2xfz589H8+bN4eXlhT59+qB169YYN24cACA0NBRnzpzBzJkzAQA7d+7EyJEj4eLigr59+wIAHB0dc/bhSefZs2cA0qptp1e8eHEAKHS1NojozZKjniGSkpKQkJAgvck7ceIEypYtC3d39zwNjoiIiIq2AQMG4P333wcAyGQy2Nra4t69ewCASpUqwd3dHffu3YOfnx8AoF27dgCAP//8E66urlLJpq+vL0JCQhAbG4sKFSogIiICJ0+exJYtW7BlyxYAgLW1NapVq4aoqKgc16grV64catasiT179sDf3x8ymQxly5ZFYGAg/P39sWXLFnTr1g1r166FQqHAyZMnAQCJiYmoV68e7t69i7Zt26JWrVoAgI8++ggeHh7w9PSETqdDUFAQfv75Z6k6c/v27aWkVaVSYeHChejQoQOmTJkCIO2ZzdPTE9HR0VAoFHBycgIAdO7cGdWrVwcAtGrVCsuXL8/2uFq0aAEHBwfpdzs7O+k6AMDp06fx4MEDlC5dGkDay53SpUsjNjZWWmb27NmoUaOGFJtarYanpyceP34sLbN27docnHVjVlZWACBdewO5XG40n4goJ8xuA7169WocOnQIZcqUwbx58wAAjRs3xpIlS1C2bFkOD0BERER5ZuzYsYiJicHKlSthYWEBjUYDvV5vtEyxYsUyrKfRaHD//n0IISCTyVC+fHnIZDJUqlQJAHD27FnY2tpmWrpsYWEBrVab69jTJ3CGlwCRkZE4f/681NFVZrGnZ21tLf1848YNPH36FGXLljXaR8+ePQGktf1NTEyEv78/qlWrZnKcVlZWr+xY6/3330eTJk0QEhKC+Ph43L59G0IIab6h3XpUVJS0bzc3N1SuXBlA2ugtd+7cwfTp09G6dWuTY8sJV1dXAEBKSorR9OTkZACQOhYjIsoJs3rh3rZtG8LCwiCEMOrIwcLCAiNHjsTff/+NEydO5HmQREREVDQtW7YM48aNw8cff4yBAwcaJZTZGTBgAJ49e4YdO3YAAK5evYpBgwYZjRwSGxuLxMTEDOvmRy/NdnZ2AAB7e3tpWmRkpFn7NiSp0dHR2e7L3O2a4r///kPHjh1Rvnx5DBkyRCohN2jRogU8PDywevVq6PV6JCcnQ6PRoHfv3q+MTa1W5yq2lxmq5L88MsyDBw8AgP31EFGumJVAHzlyBH379kVwcLD0ds9AoVDA09MTu3btytMAiYiIqGgxlDBfuHAB3333HQYPHixVH3659DkrLVu2RFBQEEJDQ7Fo0SKo1WpMnz5dmu/h4QG9Xo/Vq1cbrRcdHY2QkBAAkNpO54WoqCgAadWlPTw8AAArV640WiYhIQG///57ltuoUqUKLCwssGrVKqPSX6VSiQMHDsDd3T3T+SqVCkuWLDE5VkPJefpj//zzz1G5cmU0btw4wzwgre13cHAwlEolfvjhB/zxxx9Yt26ddN1KliwJZ2dnrFmzxihhFkLg119/NYo3t6pVq4ZatWrh3LlzRtPPnTsHV1dXk4fDIiLKjFlVuK2traXB519uVwKk3UwNb/eIiIiIzFWqVCmcPXsWKpUKf//9NwAgIiIC3t7eCA8PR3x8PB49eoTY2Fg4OztDr9dnWt16zZo1OH78OHx8fKS2r0ePHoWXlxesrKzQqlUr1KpVC3PmzIFarUarVq1w9+5dhIaGYsWKFVIscXFxePbsGaKjo1GnTh1YWJj+6BQdHS11wrVixQp06NABzZs3BwC0adMG69evh5WVFbp27YonT55g48aNUvM4Q0KZ/thsbW0xePBgLF++HAMGDEDPnj2h1+uxb98+zJ49G7a2tujXrx9+//13jBo1Cv3790dKSgrWrFmDb775JsP2DAwJrV6vh1wul0rpb9y4AWtra2g0GsTExECr1SI+Ph5JSUk4duyYdIx2dnZ4/vw5hg0bhqFDh0q1BCIiIvDuu+/Czc0NADBixAh8//338PPzw8iRIyGTybBu3ToMGDBAeq4cMGAA5HI5goODXxmngUqlwscff4z69etLL0m+/vprjBkzBk+fPoWLiwtSUlKwdetWjB492uThsIiIMmNWAp2+2tPLbwqVSiX++ecfs/6wEBEREaU3cOBAnDhxAh07dsTEiRPh7e2NlStX4tChQwgICICfnx82bdqE5cuXo3bt2jhx4gQeP36M5cuXo1OnTtLQRa6urrh27RquXLmCZ8+eQaVSQQiBevXqYefOnbC0tMTq1asRGBiIJUuWYM2aNfD29sbcuXNRokQJaLVa9OzZEzt27EDnzp0xbtw4vPvuu2YdS3BwMHQ6HWJjY+Hi4mJUAr5w4UJMmTIFW7duRUhIiNQ7dunSpRERESF1bLZ48WL0798f9erVAwBMnjwZcrkcW7ZswZkzZ9CyZUt8++23sLW1BQAEBQUBSOvh+uDBg6hfvz6++eYb1KxZEwkJCVi1ahWAtOGkGjRogNTUVOzduxdAWo/dn332GZo3b46GDRti9OjR6NevHwICAjBx4kT89NNPaN26NXr16oWAgAAMHjwYY8aMwaJFi2BlZQVra2ssWbIEDx8+REpKCnQ6HaytrbFx40Y0atQIw4cPR1JSEjZs2CBVA58wYYJRiXBCQkKG8/jkyRPs27cP4eHhAICZM2eiY8eO0hBaer0eT58+NeqwrEOHDpg7dy6mTJmCunXr4r///sOYMWPQv39/s64hEdHLZMKMOjM7d+6EWq3Gxx9/jDlz5uDrr78GkNaeZenSpbhz5w5atmyJzz//PN8Czgsvt4l5XZydnY1u7vT24rUuOniti46CvNYpKSnSEDz0akIITJo0CUOGDJF6mhZC4Pnz51i8eDG6dOkitZPNTG47EZs7dy7mzZtXpGrlhYeH49KlSxg9erQ0LTU1FZcvX8bevXulxL6wyc21NuV7aSh9J6K3h1nFxV26dMGiRYswbNgwCCEQFBSE+Ph4aTy9MmXKoF+/fvkSKBEREZEpQkNDce7cOcyaNUuaJpPJ4OjoCHd39xz3wty9e3c8fPgw22X+/PPPHG37TaZSqeDv749NmzYZTbe2tkaNGjVw9erVAoqMiCjvmZVAy+Vy+Pv74+zZs/j777+lMQXr1KmD+vXro127dib3jklERERvF8OQUQVNo9Hg+vXrWLVqFXx8fGBvb48nT54gLCwMjo6OcHFxydF2t2/fbtJyOp0OQFqb3aIw5rChHfrcuXMREBCAypUrIykpCRcuXMDp06cxduzYgg6RiCjP5KjBcsOGDdGwYcO8joWIiIjeUEIIpDUKK/gk2tfXF8+ePUNwcDCmT58OOzs7NG3aFKNGjUL9+vXzdd/h4eHYs2cPAGDWrFno0aMH3nnnnXzdZ0GzsbHBxo0bMWvWLPj4+ECr1aJmzZro1asXJkyYYNThFxHRm86sNtAAsHfvXsTHx6NPnz7StBs3buDGjRvo1KnTG3GTZBtoym+81kUHr3XRwTbQWfv/5BmQAZDJC74UOjdy2waa3hxsA01E5jIr292/fz9Wr16NPXv2GN1sqlevDnd3d3z//fdGY/sRERUmQghotVo+GBPlsfSv4vNuNF8iIqLCx6wE+uDBg2jXrh1++OGHDMNV1alTB5aWltixY0eeBkhElFOGhFmlUiElJQXJyclITU2FSqWS2igSvQnMrCz2WmUWW2GOlyiv8HNOVDSZlUC7ublhyJAhqFixYqbzXVxccPTo0TwJjIgot5RKJVJTU6HRaKDX66XpQgikpqYaTSMq7Arjw3r6qtvG019/LESvU2H8PhLR62FWAq1QKLKdf/fuXcTHx+cqICKivCCEyDZBNiTRfAiiN4FCoSiUtSay+/rwu0VvM51Ol6E2JhEVDWYl0Pb29rh8+XKm8/bs2YNbt25lWTpNRPQ6mZJs6PV6qFSq1xANUe4UK1YMqamp0Gq1hSYxFfrCEQfR62RoGpSamlokhigjoozMenXm6+uLb775BtWrV0e9evVga2uLJ0+e4Pjx47h27RpkMhk++eST/IqViMhkplbP1mq1RWasVnpzyWQylChRAmq1WnrpU5BDRen14tUJtAxQKAr/yByZKVasGF+uFRHmXGvDyysLCwuUKFGiwIdrI6KCYVYCXaJECUyZMgXLli3DL7/8YjTPwcEBn376KTw9PfM0QKK8ptUIQAbI5YD8DR9qhbJmTnVXtVoNuVzO6nhUqMlkMhQrVgzFihUr6FCgVulhyjuqYsVkb+SQVhyerujgtSYic5n9tFiqVClMmjQJcXFxuHv3LlJTU+Hk5AQPDw8+fFKhl1b1Kn2piZASabkckMkLtlSH8o65HYSpVCrI5fI3Yix7opwwlJ7l9h6X1r+AacvqdIAFv1JERPQWMTvj1el0SE5OhpOTE5ycnAAAUVFRUKlUTKCp0MvsoU+vT6uOaCCTCyjkMsjkaaXUTKjfPHq93ux2ooZOxYoXL55PUREVLJ027V5nVSx39zRz3k3pdAIWlryHEhHR28Os98KPHz/GqFGjMHr0aGi1Wml6mTJlsG7dOpw/fz7PAyTKS8KEBz+hB7RaAY1aQJWa9j+9WXLaW7Fer4dGo8njaIgKnqH2jf5/97fc0OlMX18IQG/G8kRERIWdWQn0hg0b8OLFCzRo0MCotNnKygqffvopVq9ejVu3buV5kER5RZ+DXmN1OlFoer0l0+RmfGe1Ws3rTW+ddO+8odWY0AFYNvRmvp8yJ+EmIiIq7MxKoOPj47F48WJ88cUXGeZZWlqidu3a2LBhQ54FR5SXzGm397Jc5GNUAF5VAp2s1mf5MkUIAbVanR9hERUIoRfQvVTqrNbkLKnNSTKs03FMaCIienuYlUC7urrC0dExy/kajQa3b9/ObUxE+cKU6ttZeV1VEIUQ0OsEtBoBtUoPTQ4fcouytBclWV9snV5ArdMjKZskWqPR5LgaOFFhk7702UDo/zcigZnMLX024NeJiIjeFmYl0BqNJsv2gQkJCTh37hwsLS3zJDCivJabUuT8fvjTagRUKj1UqQJq9f+3VdRpBas/mulVia/qf+dTJ0S2STRLoeltIPRZ30PS7jPm3V9y0gwGYDtoIiJ6e5iVQLdq1Qpz5szBkydPjKZfvnwZ06ZNQ0pKCpo2bWp2ECdOnMDSpUuxc+dOzJs3DxcuXDB53fv376Nfv35m75OKnpw++BnkVyJr6NwnqxJyrYZtsM2RXemzEAKadNcxuyRap9OxQzF6472qwzCN2vT7i14nkNNbEZvBEBHR28Kscac8PT0RFRWFMWPGwMXFBba2tnjy5AlevHgBAKhSpQr69OljVgCHDh3Cli1bMH/+fFhbWyMuLg5fffUVAgICULNmzWzX1Wq1+O233/iQSybJ7QOcXgcoFHkTi9F2XxGXEIBGI2BlxaFgTJFdAq0VAvqXMgBDEm1rJYdcbnyO1Wo1LCwsOJTZS3Q6AYXi9Z4TIUTaMExCSOO2v3y9yJheL15Ze0aItOGtLEyoPKbL7T1UL3jNqEAIIXgfJ6I8Y1YJNAB069YN06dPR61ataDValG8eHHUqVMHgwYNwvTp080aQ1WpVGLt2rVo0aIFrK2tAQBOTk7w9PTEqlWrXrn+n3/+ierVq5t7CFQE5bb0Oa+2kRlT2mbrdcjQCRBlLrsEWp1JW1AgLYlOzKQkmh2KZU6rydgpVX4RQkCjSRtSTqsV0Ovwvz4CBFKVeqhVetbSyIKpw1WlnddXL5vbatgshaaCwjb4RJSXzCqBNqhatSqqVq2aYXpKSorR8FavcvHiRSQnJ2dIgj08PHDixAlERUWhYsWKma57/fp1WFpawt3d3bzgqUjKiwc3w3im8jwueTM1MddoBORyQMYSnCzp9fosE2i9ENBkc671hpLoYnLI05VUaDQaWFpaQi43+33jW0kIIdWKkOVjKbDQC2i1r246odenfYcEZGAXHP9Prxdmdfil0QhYyZFlKZ1en/Pq2+m3AfD+Ra+XEIZh2/jZI6K8kadPhKdPnzarF+67d+8CAJydnY2mu7i4AECW20pNTcX+/fvh4+OTw0ipqMmrDmxyW4UxM+Yk9+yVO3vZlT5r9K8updQJgRS1PsNyKpWKJZz/k/40aNS5G084K3q9gEplXgd67KTq/yU80yLhWRbVLbIgBKDNpjVUTnvfNtoHS6CpAOTFZ5eIKD2zSqD9/f2znKfX6xEfH48ePXpkWjqdmcTERACQqm8bGH5//vx5putt3LgRn3zyicklQgcOHMCBAwcAADNnzsyQsL8uFhYWBbbvoi4l2byHyazIZIBN8Vd/bUy91nqdQKqNeX/dLa3ksLRkaWhmUlNTs6xy/VyphZWJbyusLRUoYWXc4F2hUKB48eIZSuiK2vdaq02rNm0gl8tQzFqep+0LVSpdjqqIF7NW5Gvb7DfhWgshsH/7XajVelSvbY869R3Nul9kdQ5Tlbo8acZibaN4I9pBvwnXmkyjUqX9jS1WLPNOTHitichcZiXQT58+zXa+q6urVKps0s7/V9375Qcvw++ZVQePiIiAm5sbypQpY/J+PvzwQ3z44YfS77GxsSavm5ecnZ0LbN9FmV6f1l4yr1glyV75AGjqtdZqRY7GYrUq9uoYiiKlUpnpMFY6vcALlXkvKmws5bC2ME48FAoFrK2tje5ZRe17rdWIDG1rFYq0Fzt5QYi09s45IVcAVnkUR2behGv9IkEHlUoPe0c5rl99gcjbiajxjjVcy5rWGZ5MlnZ/Sb+s+F+NgNxIUulgW0wBS0sZFBaF/971JlxrMk2qUp/tPSq/r7Wbm1u+bZuICoZZCXTHjh3Rv3//TBPbmJgYbN26FSNGjDB5e46OjgDSSo3SM/xeqlQpo+kvXrzAP//8g88//9ycsKmIy+uOa/Q6IK+aw+a0REejEShWrPA/hL5OQogsq3Crc3CelRo9LOSARbqLrdPpkJqamiGJLkpe7sUcSOugR6YRsLDM/TnJTWc/eh17230Wm1bbxrNJCaQk63DtUiouRSjh5KpAzXdsUNw2+5tXZr3+57YDphS1Dhq9HhqdHAqFDPkwmAFRpti0g4jyg1kJdKtWrbLsJMzNzQ01atTA+vXrMXjwYJO2V6VKFQBAXFwcKlWqJE03vAmsXLmy0fLnzp3DiRMncOrUKWma4YHZz88PLi4umDdvnsnHQ0VDXveerdPlTaIA5LxNoNCnlQTmVRxvA70+Y9tlA3UOe4xOVgvYWRkPvVPUk+gsxyvXCkAGZFoxQmZ6Z2O57d1bpwPM6MvyrRP3VIti1jLY2slgVcwCjVuWwP1INW5dU+Hk4SRUrmaFyh7Fsq3qbuj131BSrDPxHpqcpEP0XQ0qVbWCTfG0RF2l1UP1v84jtHo99HoZ2JkTvS7s+Z2I8oNZjxmv6vHawcEBmzdvNjmBrlu3Luzs7HDz5k00aNBAmn7z5k1UrVo1Q7WXJk2aZBgb+p9//sH69evx008/QZEfg/TSGy+vO64RIq1KY257wxa57NVWqxWQKzgWrkFWpc8avT7TUlOTtikEkjT/GyNaZpxEK5VK2NjY5Gi7b7LsTmV2zRGKFXt1D/I6Xe57etbpBCzegCrC+eVZrBalXCwgV8ghk+khl8tQsUoxlHazxI2rqbhzQ42H9zWoWc8Gzq5ZPwJoNGn3F+DV91CdTuDuTRUib6kh9GlVZus3Lg6NTiBF+/8rq3UCNoK1BOj1MacjQiIiU5mVQP/7779Zznv+/Dk2btxo1lAvCoUCvr6+2L17N3r06AErKyvEx8cjIiICo0ePBgCsXLkSd+/exbfffgsbG5sMD6wODg4AYFabaCo6cpukZkWnByxyWY07L96Ma9QCVsWyHnrmddKoRaal/QqF7LWUlGfW9hnIeuxnk7erF0jVCBS3Mj4GvV4PpVJZYL1z6/Xitb88yU2P2xqtcbXgzOTFw67QF8y5KQxSkvVITRFwqpH2p12hkEnt1YtZy1G3YXG4VdTi2uVUnD+VAteyFqjxjjWsbTK/mWnUrx627+ljDa5fToUyRaBMOUsUs5bh3m01Yp9qYGEnM3rjohcCOr2AXi8D33dTfsuvv/9ERGYl0N99990rl+nevbtZAXTq1AkWFhZYunQpKlasiNu3b8Pf3x8NGzYEkJaYP3/+HDqdzqwxpomA/Bl2CsibUq68Gptaq0WhGP82q+TndY39mlkJ9KvGfjaVWi9gk0mpmV6vh0qlyvX2c0KrEbB6ze3gc3Mq9bq0z0hWVYeFmeMWZ0eXh/0UvEni/9f+uZRLWnYqVwB46QWSk4sFvFqVwL3baty5oULckyRUqVEMFatYZXjpYBhjOzOpSj2uX07Fk0dalLCVo2EzG5RytoBOK/DogQY3rqpQs7FVhu+MRi9QTA+wITTlt/z6+09EZFZGWqJECbz77ruwzORp3draGrVq1YKXl5fZQbRr1w7t2rXLdN5XX32V7bqtW7dG69atzd4nFQ35MUZt2nZzXw0xr9pm67QCCjleWVKUn7I7ltfRBi2rDsRMGfvZ1O1r9AJWmZxjtVoNrVZr0gs+rTYtm8nty0C9XkCfB59Bc+W2OYRWk3UCnduOqtLT6wRQBPsHiHuqhcICsHP4XwItl0Emy1gKJ1fI4F69GMqUs8S1K6m4+a8KD6M1qFnPGiWdsv9s6vUCUbfVuH0j7cVRtVrFUKnq/yffCgsZylezxO0rasQ/0aNUaeNMWaMTr+2lGhVt7ECMiPKLWU9x/fr1wwcffJBfsRDlufxM3nLTWZEQeVu1TKMRsJIXXFXuV53nvGgznp2sqm9rctkhVXpaHWCVRamZWq2GQqHI9vzrdDqoVCooFIpcJ9CGw9Xr8Vqrwub2ZURajYnMa2/kZVtFIbIv7X5bPYvVoqSThVFJslwhy7JjNpsSctRvbIOnj7S4fiUVEcdT4FbBEh61i8GqWMYi/Pg4Lf67lIrkRD1cyqRV/zZ0Fmag0urhWEYOm0gZHtzUwNFFbhSPVohcXWshBIS+YF8Y5ie1Wg0LCwuzmsNRRmkvVQs6CiJ6W5l1h2byTG+SvE5SX5abt9t5/YddCECrydttmrX/V5Sm50Vhe3bJW6bVt/V5U33bQJ1NabZer4darc5yXSEEVCoVhBDQ6XS5TkQNn73X/YCYF6dTq8l4HvOi87CXFbXOgzRqPRKf61HK2fiNiuIVf+VlMhlcy1qimbctKlezwsP7Ghw/lIT7kWrpOqlVelw5p0TE8RTotALvNrZB/cbFMyTPAKDVpdWKKO9hCZVS4On9l15u/a82R05r4Gi1eVtbobDRaDRITU3NslNEMg1PHxHlp1wVg2g0Gvzzzz949uwZqlatijp16uRVXES5llftKbPcfi6q0OZ1z+BAWsIg16FASt1eXQKNXLd5TNboYW0hh0UmJdmZlUBr8jgjE0JAKwQss7jeGo0m09JlIYTRA7Ehic5pKbQ+XbIpXnNV2Lz63Go1ApbpxxnOw5oCBkVtTOhnT9OaBzi5GH+u5IrMq3G/TGEhg0dta5StYIlrl1Lx36VUPIhSw7WsJSJvqaDTAu4eVnD3KCYNb5UZ7f92ZO8kh10pOR7e0cDZTWG0Tlo1bvPbqQshoNMKpF3St++6arXa/734FdJQeSyJzpn8/vtPREVbtk9wixYtQkJCAuLj42FlZYUOHTqgRYsWANLGap4+fToePXokLd+sWTOp92yigvY63kDntBp3Xo9NbaDTvv5qq6aU9KcNI5XzuFK1eqi0eshlgIXcOBPX6/WZt3/OhwcojQ6wzOZ51lBFO33SplarMyT4uUmg02/qdZay5GVv4zodoNCl9fBsaM+dH96WMaEz+wwBaaXHVlZWkMvliHuqg0wGOGbShlkul5lcIm9rp0DDZsXx6IEWN66k4tZ/KpR0VqBWXWuUsMv+LZheCGnIOEMp9H//qPAoUoty1f6/7xStPmftoA21bMRbOhRW+mus1+uZROdCfv2NJSICXpFAHzlyBDKZDH369EHXrl2lm7harcYPP/yAR48eQaFQoF69etBoNDhx4gRq1KiBDh06vJbgibLzOv6A6nUCyEFv3PmVMBREx1KmHEtuSi41Oj2S1WkPlmqtQPGX+jA0VI02ikkIaPKhC1aNTgDZ9HhuqKptbW2dtrxGA40mY916rVaLYsWK5SiGlz/Xr2vIpryuNaHRCBRTyPK1Ou7bMCa0TqfLtnmAXq+HtbU1nsVqYe+oyPR45Qrzqj3LZDKULW8J59IWSHqhg2Op7Nv3G2hf+myWsJejVBkFHt/TwqW8Bays07ahF+J/w5qZHpPQG7ed1usAxVvwcsRACCF1MmjAJDpn9By+iojy2Sv//HTv3h3dunUzmrZ161bExMTA2toaQUFBqFatGgDg6NGjCA0NZQJNBe51/QHNScKa34m90AOy19ixlEkJdA5LjHR6gST1/+9AJwQ0OgHL/5WyazSaTEvmXn6Qzyt6IaDV62GRzcOsVquFRqOBTCbLcogrQzVuhZk9gGXWVjgnVWFzIq9PqaFDsfyovi3t4y0YEzq75BlIS7KSk1LwPF6HSlUzz0gVChk0MP88W1rKXtkrd3q6TD4k5apZIP6xDjG3Nahc5//jU2v1KK6Xm9y5oFb78oujt2skrKz6RmASbT5W3yai/Jbt3Vgmk8HHx8do2uPHj7F7924AwJAhQ6TkGQBatmyJ1NTUfAiTyDyvs5MZc/f1csKZqtQj7ok2z6rIvvaOpUzMrMw9PCEEEtU6qUqogfp/JcvZddyVH9W3/3//JiyjVr9yfGhDaZMQAlpN2r9Xyazjuvwaqi3jfvJ+m6Ycc27ptK9eprDSarVZ9jCfXkK8Hno9UNIp6z/pr6O3dm0mn5FiNnK4VlAgNkYHZdL/L2BoB20KvV5kuM++bVV0Xy59Ts+QROdlM4q3WWYvcoiI8lK2CbStrS2KFy9uNG3NmjXQarX4P/b+Ozyu/MzvRD+/c05F5JwDAZAEQIIEM9k5qZUlj2Y0Y+11muC173jm2nfsXYdrP/YGPw5jr/eOd+0d39V4PbO2ZyyNLKkltUKrc7O7mQkSJEiARCQyiFxVJ/7uHwcFVK4CCLC7pfo8D55uAqdOnXx+7+993++3u7ubZ555Jukz3u3UZOXJs0c8Tv/H7ar9xgY8Ukr6LoW58kGIK++HWF999MjvcQ4so5YyOS27zQBszXBSDoSMjeOdbkAZ9WzeK6wczndUCCjjeiwL05ToEYlluT/ZrttUsdTjmjD5pA7ebXvnis8fJVLKrNnnKMsL7v4VFNtp1Zsfh+2TneYaqdvnQdVgYtCMWzaXewmSs8+wUdXyCTyvqYhWpGQim9J/HpftvJPy5MmTZ6dkDKD9fj+zs7Ob/37nnXe4dOkS4HpCJ6LrOjMzM7u8iXnybI+9sMTJhHS2N5CLHd/OTlksL9rUNGisLNu8/+Y6Q7cjj1TW+liFpbbxXdsZ64ZMezPTnLweyXo4vc2LmcFuajewpXykDIfjuNnmSNjGNOKzTmYKi6fN700TbETL4/eaT2j8DLjH9ZOGYRg5WxktL0oCQdA8Mq0F0l5X/9oZ7jvNK6jdp7E877DycCtQNFKlrBNwHJm2JPdnxaooV2s70zQzZqrz5Mu38+TJ83jI2Nx09OhR/vE//sd8+tOfZnp6mp/85CeAW6odW7od5ZVXXkkpmJMnz+Pko/B/tW3QchigxipWO45k6LZOQZHC4WMBTEMyeEtneNBgasKks8dPVW0GxaoMPK6+z+0MYHO1XDJth7CZfsWOY7NuGgTTyGFbj2EAZTiSwA6Or5QS09i6Pi3LxutVY/6ebPEUJVN22nH2tkR3rz3V9xrpbCjUf0IExRzHyTlQsm2HlWWoqBabn03VMyuEQFGyl00riqvarahb6t2x12w6sukO1DRpzI3bTAyadJ1WXI0AS1KYRRshU5m/40jUnwE7q+0ExamU/vO4uEJsn+AHVZ48eT4xZBzyf+1rX0MIwX/4D/+BH/3oRziOw8GDB/n1X//1pGV//OMf881vfnPPNjRPnlyQMn22Yi/JNWiPHbw+GDUJrTvs7/KhKAKfX+Hw8QAnngiiaoJrF8JcuxAiHNp+muVxZWa2UxqbawAWyTAAklJi6DqmnTrbJaXEeAxlneYOJ2kSz4udokHXtpOvJ7fEM/1697pk8ZMcPEexrL2tTNhNUinLpyO05to7lZZv/S5dz2yixZ0Q7sSL5hF4fQJ/QMHrU9A8YnMCTlUFIofJwWxVGYoqqG/XCK1IFmfci9l0MrctZLM4y/U5t93z/rjbYHLpc49dPpu+ws8rpvHJnujLkyfPJ4eMGejCwkJ+93d/lw8//JD5+XkaGxs5ceJE3Mzn4uIiv/d7v8fDhw/p7e2lrq5uzzc6T550PE7xsFikzC3rGx3wWZbk3h2dsgqVypr427C8UuPsswWM3Te4d0fn/BtrtB3w0dLuzTmrvFN7re2yrQx0DkrctiPTlm4DmKaxObi1pMSTsC47h97j3cDe8LHdbpbftiS67do3wZaHdaK6rmVKFIXNY5XtOO/EU3c7/Cz0FLqq3+DZWVHHYyNX4bAoSxv9zyVl8effcZw4SzVw7axUJ5pdJucspqaJrFnoXJTvK+pcS6uJIYvSahVFcTUNAmlGItlE5qJ90JmUvB0pWYnYFPlU1BzuV+lIDD27HsFuYVnbF5CMKv17Pu4X82PENPfOTz5Pnjx5EsnqT+HxeHjqqafS/r24uJi///f//rbtWPLk2Qs+ivLtKI6dvc8wGvyNDOmYhmR/tz/lIFZRBK0dPmrqPdztjzB0W2dq3KTziJ/yyuy2Mo9jILGTLE22UmM9Q/DsOA6WuZWxNS3wJGgW5qKQvVvo2yzjdhyJYUtMy8EXcxBs20JR4ndESndA6N0o5c52Xe/1+f5ZyerYlkTdKE3+OLId4bDo8suLEo8HgoXJ+2RZFoZhbIp7CiGS7plcUFWBpaQXZ5JSphUQi0UIQeMBD4NXDObGbWpaNHRTEvBtiT85TvbMcyy2k7l9Zt1wsDcU/Yt9KkqGSQP3+G9M0O3CuySaLfb5fGknK3ba02wYBqqq5q2tcO/rvbTDy5MnT55EHvnJq6pqPnjO87HAcT5a9c3sQY67fZGIw+g9g5p6jZKyzPdOIKhw9FSQ3jMBHEdy+XyIG5fD6JHcxHf2kp0EbdnG2EaGQZCTkJUzUogWJZZW72U2ersDbMdxP+OKkG39Pl220bHdgWGubQl7eb4/iSrWURKvgcdhnbVTTNPMWTgM3GtkZRmKy9Jnkw3D2BXhKU+GipYctMA2KalQKS5XmBw2sUyJYTrouoMecYNXy9peJjHTtalbzmZFS6KnfCpcET/3/60MOgy5Yts2lmVldAzYTrVB4mfzpdzu+f8kigTmyZPnk01+6jLPzwwfVfl2lGgZdyqcjbJAgPt3dKQDHV3+lMumoqrGw7nnC9l3wMvMlMn519cYGzYyBoh7npXcQVCV6TOG7WTMYiUONKWUWDHLW45M8ozeywkVy9mePZJjb6l3mzEnx7bTWw+ZpszZx3gv9/WTmoFOFWQ4zkdbqZIOKeW2RDhtWxJad9DDyeXbiei6vq3APBWKKtJW2GxXlb7xgAfbhOkRC1tKQvrOH97prnvbkawnBMGm7bCepkzFMpMnqh71OomeT9u2UwbRjzqxYdv2z4Rwq+1IHoYtVnSbkGlj2k5Ok5/SyU3gLk+ePHl2m3wAnednhsfp/ZyO1D69W8Hz2qrNg1GTpn1eggXbu/1UVdDR6efccwUUl6rcuRHhw7fXWV5Mk8H8GGagM30mm3iYkyING1PRneT97Mi974kzc4wsHcfNOkcnCIyEazVTFipXVdm93NdPagBt29bGT/zxtTLYhX1UbKcX1rZdK7SVJfffJeWZA2gpZdos6HbQPGnKkLf5rAkWKW4/9JiFHnaI2HLb64iSbuJy3UhtDRWxHPSElLltp1ZvfjQ7QSfuurNtm3A4HLdNu1EZYBjGrkyQfJRErQejDgwrus3DsMVyxGLdsNEtJ3lyVEqM2IoBRxKxHEKGTcRykiZ1dprpz5MnT55U5APoPD8TPG7v53QkBvGxwTPA4C0dTYN9+3fQiLhBQaHK8XNBek4E0COSC++sc+t6OGkmfm8zkjs73uk+Yzvu4Ckdjm2n/GxsGbeZONjdpj/3dpFSEtFzy5TYCQGClDIu4E+lxr1d9mrC5JNcvh0NUBKzdFKSc2b/cWGaZlKQkArbkptl6KtLrthcYXH29adT5t4OipI6C51L/3Mi9e2ulsPkPQukTBvw5kJi7Bg2naQJtVjWTWez3cPJkMV0nJ23gaQKjh3H2QyiEwPsnRKtXAiFQkQikU9koJg4oRglGhSvGTaLYYulsMXaRkAdjjiEdYc13WYpYrGqW4RNG912CJs2K7rFUsRiTbcJ6Ra68TG74fPkyfOJJrsaUZ48nwD2siRTjzh4fSInxVopt4Jox94SpAFYXLCYn7Ho6PLh9T3a3JUQgtoGD5XVGvfu6IzdN5idsjjQ7aOuyYMQIieF2p3yKMmOVOrVmcTDIH32IBqIqiJ5EB/dxmzK37niSAkbIkfRwNwi/hyn20bHTi5zNa0tv2fbth95O3NROd/pej+JOI69ed3YtpWkdm5ZctPr+KPGstztWzccHAmaIlCVjf+Krf5m24rPlK4sQ1EJaLmY0ONeZ+vr6yiKsilAtV0hKs0j4iYF7RStE7ngCyjUNGtMj1jUtDgEixQilkPAs31NlVjXAduRhLM0ZUspWTNsirwKdpYKaNsGbQcjpXTZ5WgQre1kpTl8p2VZqKqK1+v9ROjTSJl79YEtXbGwkC2xc+h7llJiSolh6Pg9KiWPurF58uTJs0E+gM7zicCxJY50FZwTA4S98n7WIw53+3WmH5iUV6p0HvFTUJh9QGJv9FjGBlZSSu72R/D5Bc1tO88+J6J5BAcP+6lv8nC7L0L/tQgSaGj2bm5LjmPrbbGd7HbEcvCpWxMQiWNtKSV6llLJTFkV0wZbSSHQszEokw6IRxxHOnZ6ldewbmW0tNq0LksMoKV7TUc/Zlkmnp1IJMewG/uaap2fREzTSvi3ic/ni/+dIfH64p8psarVjwvDMLAdN6smAFMBobg+zYqioAmw7PiSYiMC66vQ1Lb974vap0URQmwKgkaD6nQoikBRt565Oy29Bqht1Zh7YDF4VafpoJeyaommCDzq9h5asZNlazlmsh0pWVq3U17fChC11bYtibZNS8BMugbu9jrbUlvfLtFy8WAw+LFX6Tad7bVTSJlb8BzFcRxsy4IdTMzkyZMnTzo+3k/WPHk2sDbKFvWITOpf3O2KNSklY8MG519fY2bKpL7Jw8qSzftvrDN0O5K1L862JHokfqNmpyxWlhw6On2o6u5nvIpKVE49FaSwWGH8/pa4WLYSZmebg5fYz+WCbrnldGuGE7NN8csYduYMluNkHhCbjkwq345dfjcyqJmuMcN2MvbU2rbb/5y0jwll3K4C86NdzHvRBvlx6xXOBVfdOD6Ajmah45cDKyYDGbV9epz9pNHscygiQUZV190gwTIkpu6WqhqGje04mz9TIxKhSCrqHv15IqXEsix0XSccDrO+vk44HN5U8E78AXvz/03TjOk1t5LU8jOheQQHjvnQvIL7fQaDVw0eLm3fFxncZ1LYcrYV0Ju2xHKcpB/D2eq5zSQOmY7d6G3eDT4u25GJdOXb6Yjer7leZ9bPgMhanjx5Pn7kM9B5PvbIBE9Qy5JYFqgaaOrulm8vL1rc7ouwuuxQXqXS2eNmnTu6fAze0hkeNJh6YNJ52E9VrSendTqOZPBWhMIihbqm3D6zE4QQNLZ6GeiLsLxoU1quZQ2oTEOCAK83vQ1OKnKJL2JLKS3HYc2AQq+y8dmt70oU9Elaj5V5oCSlJHGJ2CDdceBRcg+OIzNG4ZbtZuMUC7SE0xu1LkvXIxrrCe0qRhv4/am9wXPaVimJPba7wSexBTqVIFc0SEzMLtu2RLFBiC3F7lTL7RXuxIlET2ObJKWEhHMQXoPlOUFlowSv3PXS/ai9UqbKD9uW2LZkPWInXd8+vx9Fye2uKyhR6D7tY3bC5sGQyY3zERrabA50+rc12Whaksg23gXZ7utYSzzbJq0CeSLR6+zjwOO8jndKovVgJmxLIh13cszQdXw+P0qGagm3jePjcS7y5Mnzs0U+A53nY0+6MZxtSXR9d7yfTUNy63qYC++E0COSnhMBjp8NbpZs+/wKh48HOPFEEFUVXLsQ5tqFUE5+zBMjJuGQZP+hnQdGuVLX6EFV3e8ENvugU2FtKJhKZ3veuLlmY0JmvMCW5biCL7GftxyZUewHdqaeGndNyEdTXM4lKWw5bjCReGxkmvLtKIme0I7zaLY0e1Fu/VGUcK+u2ITWd/7FlpX6GFqWmfJasMx4lerHFQBt+gTrufcRSwkzIwJVk1Q2SCQS4yOY5VA1gccrULwC1SNQYto0TCOzxV4iQhHUNGscftJPWY3KxD2T82+sMT+T+70QNnIT9IuS7b62Y63mtqHGHdUzANc+bHp6OufP7jaJpfofN8ws1UexyI3+51i7N8PQkRn2L599zpMnz16RD6DzfOzZS4EwKSWTYwbvvb7G5JhJc5uXJ18opLbBkzLYLa/UOPtsAfu7fSzMWVz9MJRxcGWakvt3dcorVSqq9r4HS9MEdU0eZiZNDMMdWKQaXzhOvBiRbe+uXVLEckshE7GkZDWy1R8YyUHsZycDwMR4Yqfxs5QyJyXvqIJ4cnuB+/+ZfHLNhP0zTWPHSrpRIbHdYi9VzNNh25LL50NceGed8A6C6Ez9p252MHlQbRgmhr4VND+uwMM0TSwzswJ9ImtLsL4sqGqSqJpbOaJ/RLZc0ctDUQSqJtC87o8jZc7BS2wA5PUJ2nq8HDjuZk2vfhjm+sUQkXCWKhVHEkmTwU+77VkWT5z0yvU9FDv58vbbb/ODH/yA+fn5bW3bbvJxVuVOfPZlwtpoGbcsc/OakRsCYamufSdLBUWePHnyPAr5ADrPx5q9tKdaXbG59F6I/msRggUKZ54p4OBhf1qv0yiKImjt8HHkZIDVZYf+a+G0g9fRIR3TkOzv3vvsc5TGVi+OA5Nj7gA2cYwiZWrbFsuUOQ0Ss2Wgs6ngWlKyErGxHZm1/20n5XduyWtiBL3t1QC5ZZ9hK5Ms5dZEhNtfTur+5xhSlTCmGxTmtM27GPd9FOXbs5MmpuFO8Fy7EMp5YidKuuxzFNOMz0I7jrMxaRF/be/14NtxHHTdxHFyL2ONZp89fklZbYw6t5ToezjRmA4rxTUqhEDzgJVDP7R0HHQ9krRccYVK9zkfzfs9zM9anH99jZEhPe2zJ2I5G5NtuU4CZi7fhuRJr1yejbHl21NTU4yPjwNw4cKFj0xL4ONSTp6KXK/7aOZZOk7SxIzjOJgpBNnMLM+BPHny5HkU8gF0no812ymdyxXLchWxP3xrnfU1h+5eP6eeClJUsr0McVWNh/1dPmYmLUYGk1/gkbDD6D2D2gaN4lIVobBhh5Xb+mNL1bZDUbFKabnKxKiZclBpmenHjqaRfhDq+qU6WYPKkGFnHZwalmRFz66Wm63/ORWpSo53ElRGxZxyJZpNcTYCsc3sc5Z9dFLYuESDup2wmwH0RzHmHx8xCRYo9J4Osrbq0H8l/QRVItHe3WzLxAYVsZMVprGVyd3rwMPQDSxTYmWZYIllaRb0kKCm2fV/jm0z1q3Hn4VOd6ijQbRhpi/ldpWodVQPOEkqBu5EZXWrxomng5RVagze0vngrXUWFxLE4RyJYW/de7mQbTnLNNF1Iy6Iduzs1R3R57WUkosXL1JQUMCpU6eYnp5mYmIit43bZWJLyj9O2M7Wc8+2JIbuCoRG+5yjSGfLASHd+9C2rbjnpW3b2xKzy5MnT57tkg+g83xscRLEw3aDlWWb86+vMXrPoL7ZwxMvFNDQ7N1xdrilw0ttg4ehAZ3ZqfiX+707OhLo6PQDoKoCRRF4fW65YzZM08TMMADNRGOrl/C6w8M5O66sNyr8k/F7DTcIMQwDwzCIhHXWViOsreqEw5kViiOmkzIrlYiU2YMGN/jfQQCdYrU7KUXebu9vbDbFNGJsfnIIwo0UE0WuunF6/+t05yFqubUb5dePu/95ddlmedGmsdX1OD9wyMfstMX9O3raz0gpmZowuTcQyfl+iWapDSO5XD6a8d7LwENKSTjsbkOu5duODbNjgkChpLjS/Z2IeYM7cnsiWrtBpntdCLdPO1VFgOM42LYbPAshQNiknVn0wpFTAY6eDmBbkkvvhRi4Edn8c2zptmPnNomQaWLMsW0e3DdYmAmxFgrF3WfZYrLopMvw8DDz8/McP36c7u5uiouLuXjxYta2gHA4zIULFwiFQln3YTs87ix0Lu0PscGzbbkVAdFnl2lIjIiDaUiiMbMrapd+P6wNNXj3//fOIixPnjx5IB9A5/kYsxcTyPcGdBwHTj0VpPtoAK/30W4BIQTdvX6KSxVuXgmztuJu9NKiweSYSVOrl0CB+x1RsVAhBB6PwOtNn412HGdT8ChbSWoqqus0PF7BxIixsb6NzFsOYmG27bC2GiYS0Vlfi7C+rqPrBqbp/qQbjFmOJJxjMJBLYOY4zo4yoOnGbrlm+TaX3+b15yQIgkXJloGGLU/oRHTdzY5GM6uGYRCJhAmHQ+h6JPkDuBMIpukK7OkRB9NwsKzcy1vj1/V4A7KJUQNFgfomtwe2uc1LfZOH+3cNZiaT74O1VZvL50PcvBJOu0wqoj68KYO7mEzjXgUe7kTUxnfkeF4WpsAyBDWtEiFc4a3EiT/Dyl2U6VFxr/fM3+UGx/H2Ye7n9LjgHwlCST9ZFDIdqms9PPF8IfVNHsaHDUJrrmWVkXDDZ+v6yFZVMjFoMDemMHg9jG7YRCLhzesgU0VUtPfetm0uXbpEWVkZ7e3tqKrKiRMnWFpaYmhoKOPn33jjDW7evMmlS5cy78Q2edy9wJFIJOu9Y2wEy5mOqYwptc+lIsfQdSzT/FgLp+XJk+dng3wAnedjSVRxczcJhxzmZywaWz2Ulu+eg5uqCo6eCqJqgmsXQhiGQ9/lRTQPtB3wAW6pZeJgV1HdbHQqt5e4slJz+76oqiqob/IwN2MRCTs4zpbqdiYcx9kY/Dgb5dzJy6TLAoRNJ+ea31z2Z9f6n6NsY0zl7FC5O1EUJ1v/8yYytRq5lA7hcIhQaJ1IJLwpMBbNQGcbKEq5IRBnuiWSkbCDobu+1amydVFxOUN3Nq+bx4VlSabGTWoaPHi87r0ihKDriJ+SMpWbV8OsLLuBgG251nAfvLnO6opNZ4+fYKFgZMjJeaIgNlvtSNdPPGI5hAxnM8jarcDDtl119Ugk4noshzbsspzcAl7LhPkJQWGZpKDE/V2q54bzGHuhc5kYAvccOmxUEAiJ40RSThxKaaOksa2yHIeI5aBqgraD7jN1ZspMKRzm2JmrLzJd0/OTBrPjECyS6GHJ3AO5YS8XcXu1nfTvpWjAODAwwNraGqdOnULZ8L5qbW2lqqqKK1eupAwspZR88MEHTE9PU11dzdDQEAsLC+k3dJs8zjLuqK+5kUGJXUpJ2HA2j6VtWRsTFelU8s2Matux7LT1JU+ePHm2Qz6AzvOxZAeVu1mZGHVfrI0tu++L6Q8o9J4OoEckl94NMTURZt9+32YgkM7PVAiB16vE/d2yrLiBu5TOjoLJxlYvUsKDUcOd6c9yTKPBs8ySHk4VuLl9vNuLtvak/znDKrdTjix3eP0liuLkUs6++dk0wmuZjtNOrgvHcYNVw5DoEYmuO5sBc7QP8aNI4ExNmNg2NLXGm2krquDoqQAej+D6hRATIxHee32NkSGDmnqVM88EqGtSaO1QiIRgdjK377Mcd9JnTbdZ1S1Cho1uOZiOQ8h49DJuKeVWwBwOo+v6xr29dXCziehFmRsXODbUtG4tn656RX9MWegsAvrxSJAY2Hb6UnzbsjdVxVMRthxsRxIIKhSXKsxMmmlVnNPdFpl0DdZXHEZv2wSLJS2HJSUVKjPjbAouWpZFOBxmbS1CJBxB1/W4H8uy0HWda9euUV9fT0NDw+a6hRCcOnWKUChEf38/EC9YNzAwwJ07dzhy5Aif+tSn8Pl8u5qFzkUbYLcwjGjVk5O2ZzmiO9gbkx9yQ+9BboiB6QmBtKsFkg+K8+TJ8/Fi99JwefLsIrn0jW4Hx5FMjppU1Wr4A3szb1RSptF11E//1QjBApWmfW6gLkT6ADqK5nEDG8eRmwOQWEzTRNM8KT6ZnmCBQkWVyoMxk30HfChK/DasLNnc7Y9QWKyyv9uzUS6c26jYsiy83q2JiFwDgVikAyKNbptbvr27fcuOhFxk4rYrHhb/Ha4olLZxiSX2my9MwtqioKlTJmUQo0re6jYuT9u28WzvskhCOtsTKZ9+YDJ6T+fIieBme8KjIqVkYsSgqEShuDT5LPn8rqjYxXfXud1nECyAw8cFxWUSiY6uQ0m5pLgUxu9LqmrJqDNgOxAy0wfHYdOhwBEoioJt22ja9l6V0eA5VdASm8HMVr4tJSzOwOI0lNaAP+j+PtZzOeV3W5JgFjeBRyVXBeUouYi7OY6D6lE2LYsSFmDdsCn2a9TUeRi8raOHHXwpnudR/YzEZ16654OpS4au6WiapOmgK9DWctBH33mbiVHJvv1iYxMcLMutzPCkaP+5ceMGuq5z6tSppPNTW1tLc3MzfX19dHQcQFN9eLwwMzPNBx98QFNTE8ePH0dRFHp7e/nwww958OBBXCD+KFiWte3reCffETu56r63tM1MPLjVMGE9ZhIpQbfAdYkwsITJvbu3GLrbn/I+9QcCnDr3HMFg4ebv1pfhwaBIOQEvhEnPCWNPJtDz5Mnz80c+A53nY4fjyF0XL5qdsjAMSWPr3r4865u8HD4e4MnnqzeD5mzBM2z0RXvFhsVOirJEx9lRP2Zjqxc9IpkcDxGJhDd6aC1u94X58O11lpdsxocN7t8N5xw8Q/JgOF32NBOZ4uOdZksyZk5zLMt+1GsvNhMfm4E2dZgZFawtCR4MipT7vx1fVMjsebwXLD203FLqJSfJYsoN3Ha2LcuLNmsrDo2t6QX9iktVDp/w0HZQcOS0oLhsaznbAd2WtHQITBMejGU+z2ErywSNlKzrO++DTiVO5q52K7tvOZmvx/AaDPcJpu4pBIqgpiUm+5xlJmgnE1rbwXay9z/vaL2WtekpnfLvUhI2bcpr3AOwOJv+OZEqC50qsHIcydB1HcuUNHVJtI1XREGJSkmVZHoC9Ehiq0Py5Nja2hr9/f20t7dTUVGRcptOnjyJZVlcu3oNgIcPV3j99dcpKSnh2Wef3Qw0Ozs7KSws5OLFi7tWev04yrgTJ3+llOgRfVMYTI+4egzRdhXLMtOqZU+M3efWjcuUlJZR39iS9BMOrXPp/bc2708jAuMDrq5ISWXyT3mNQnCXJvzy5MmTJ5+BzvOxYwdVqVkZHzEIBAUVVduzqtoJdY0eyst9PHy4DqTuVUyNRMoMKqOWmXMGwS3ZsygsNvD6YHLcprTCYW7aYnTQVTata1LYd0DjTp/JyKBDsEBQWpFb1spx3MBNURTXjmSXs8W73v+8uUz60tet7972V8dh2hK/xoYv9Nb2zI4JkFBRL1mYFMyNS6qbU392O9i2HZfh2SsiYYfrF8P4/YL2Tj83r4TpvxLmyKkAQghChqvA7te2vy0TIyaaBnUNmdPpxaWSwuLkE+iW9zoEClUqqmFyFGobJF5f8rK6LbFzmHSImA4Bn4LYCDxyVep31fNTl67Gfm26INe23Gvl4RSoHmjY71BSFXPdCoGSZVvkhsCXquxNFtrYI4PwaJCnaiKtbVTEliheCBYJFmccaltSr0smZKFTWfpJKRm9bbK+LGk8KAkUxq+julmyMi8Yvy/p6I4/lpbpirlF13/16lWklJw4cSLt/pWWltLRvp+7gwO0tXVw/v13kFLy4osvxlX0qKrKyZMnefPNN7l37x4dHR1p15mOxGs2Wsa9V1loM0a8K2rjJ51oC5K6+b32Rt9/Ov9mgKXFBa5f/oDyymqeeeHzmGay+0NNbQMXzr/JtUvn6T35NGO3FaSE5m6JL5C8zoKASnlFfsibJ0+e3SE/HZfnY4X7kt/dwdnais3Sgk1jy87tqnaKUJLLCNNhGMZGD2Dqv7s2Hpmju7DpihVFey4lkpoGwfJDuHlZMnTLHVwcOSXYdwDAoqMbgoVw56YkHMr92EeD3GgpZyTkEF5L/omE0tgtpRmEuyXUu5vR3lwmy2qdNEG4beXuiRwt446dVIisux6+5XVuH2tJlWRuXGFlIdVnc/uiqKL6TiYbYrEtiZlFnd22JdcvhrAtSe/pIHWNnjiLqbBpYzhOTsrMiRi6w/SkSV2TJ2PZdTrRtNiAOGw5NLS52f3x4RTn0SFrljwScasxpCMJGfa2+kejfbDg3q/R/9/8fiva10mSaJyUsDQHQ1fc4Lm8FvYfl5RWxz8T1Bwn5FKJ0u0W2y3fzhX33nePddqOFekGYGU1KuvLDkYk/bbE3hqp5kxmx20WJm2qmiQllcl/9/rdCa/ZKVhfc/3Dl5YWN3/m5x+yuLjI+Pg4g4ODdHd3U1gYH4XHvnNsW9LT04uiqPz4Jz9gZWWZp596jkCgKGmyYN++fVRWVnL58uUdVUHoEdfLOu547FEftNunvDVpJJ2omr3771jBvui1Yxqp++EjkTCX3n8Ln8/P2ac/haKqeDzJlWPVtQ109RxjenKMq+dvooeg6WDq4DlPnjx5dpv8dNzPMdvJqjwu9sI1ZmLUQChQ3/yIzaI7IJfybXAH3tFBkuYRm8I1iZimiZpmBG3bNitr6wQ0Ja6PtqYeJoYhvA5tnYKa+vhBnaoJOo9A30XJwHVJzynQcvCpjvbfGrbDzJjF+J30FkIHTngpLk/ebseRSRMMVprsXTZyKb3OtIyUEifFV5u6G9R4A1DXLgkWZf8e03bibKlmRgSqBlVNbtaqvkNihOHBXYH3iMRfsLWsYUk0b+bjvzAruXND0rQPmtq2lyGNEvVPHuzXcRxJR5efxlZP0nqklNy65pZtHz0doLDYPY/NbV7WVhzu3zXAz2ZZrbXNzOfkuIl0sov7pZooSAqIpcTRHKobBDMPoK5JEizY2pawaaedCTEMnTv91xkdvktJaTk9x85QUVWJbjt4csjcOY4TFzz/8Ic/ZGFhgd7eXg4dOoQQyuZXWwkTNXoIpu4L1pddn+fm7uRsaBSR47T3Duagclzv3pRvR7FsG1XTXJsuJdnD3bFtbMemrFrjwZDF4qxNTXPqcyMd149dUZP7YpcXbMbvmBRXuPdlOiobJYszgpFBm5Gp77O0tJhyOa/Xy9GjR5N+B+7kqOO4An3SDlBZ2s3MQh9dB09TW1uPdNxgP3bSICo89uqrr3L79m16enrSbmMikUiEV773PQzD7cfev38/Qggsy8Ln8+W8nlxJ7H1OnByN2jJ6PF5M20mZUQb3vrn0wVuYps6Tz32GggL3JlBUFVXVkp4BbR1dzE4uMTN/nQMHSigsa05aZ548efLsBfkA+ueYaDCWLiB73GTzhNwJm9Y4dR68vsdfcJHLoY1afkRRFIHmIaVns21bm6XTW0gs20Q3DVAlDhKVraDB6xMcPQ0eL5uq4In4A4KDPXDrquTuTUnX0fRquFvbYmPZDrrhMHnPpLBMobop+ZEy0m/wcNpOHUDbELsrUbufnZBTAC3lRhl38r65WebkY744A44jsAzJcJ+grAaqW2T6DBnx2b+1JVhbEtS0Oqgbh0dRoKlTcr9PMHZb0HZ0a31RT+h0Mej6qmSw3xUhGx+WBAqgodnalsjc2orN7RsRlhZsSspUVBUGbkR4MGbQdSRASdnWuRoZMph+YNHR6aO6dus7hBDsP+xjecVm5KaBP+gjWKRgOZJch+hR8bDSCnUzME9HquxZqoBYSklFA8xPCcaGJJ1H3QMZsZyU1ktSSh6MDXPr5mUM3aCxuY25mUnefeNVWtsO0HP8OF5VSRt4SEcikRsK9m5f8/vvv8/MzAw1NTVcunSJoaEhTp86S1VVLVK6kyTgXv9zE4KFB25gXNfmUFabvgollfdzOnKtZNgue1W+HcWxLaR0q4UUJX4iQDrOpsWfP6ARKBQszqQPoMG9r4USb20VWXe432fgL4D6/U7Gtg5Vg7oWuHVjkKXVRXqPHqeoqDhhGUFVVWXcNeL1evF6vZvPdz3sMHZfMjUORb4jBOub0FfKWV+TFBQKbFsilPhJ17q6OhobG7l27TptbR0UFGRPrzqOwxtvvMn6+hplZeW8++673L17lyeeeILy8nJs2075zrdtO22mWwiBx5M8uQbu/ZPY+5wq22+aJkJRMWwr5SSplJIbVz9k6eE8J848Q3lFVdzfPR5PUgC9siAoVM8RDqxw79571DYWUVxalnIf8uTJk2c3yQfQP8dEBYg+DgG042QvI90J0w9MLCvZGudxkMr7OZFoyWdi4KaqAsdObSdkWSaBgM8dTOOgGzrgIDf68aQCqiLiSuGDhdkH3SVlbln3/TuS0SFJ6/7snwkbBlPDDrYFzQc9BIuSJymWZlWWZm1kp0QkRIVOXPJQYujpbW4yEQ1ccls2OUBJ5x3rqiALCkpddd65ccHCpDtwq2l1y2vTbU/08zMjAo9PUl4Xv4zHB82dkuEbgvEBQcshV/036gntS1G9YBqSgT432D58QjDY75blFxSaVFZnv8YtSzJ8V2f0noGmCbqO+mnYqMyYmbS4czPChXfWaWz10NHpZ+mhxdBtnZp6jdb98RliR0rCtkPHUS+3PtQZumbQdcaH4sv9Pl6YswmHJB1dmbPPjuMkBdDpAmIAoUmqmwRTI7CyKCkoEegpSrdXV5a4ce0CD+dnKSuv5MyTpykpLcc0De7e6mP43h2mHozRe/IUJ46mzgDqhoOh6yiqu/7bt29z9+5djh49yokTJxgfH+f999/nxz/5Ic0tbXQePo7X52dlAaaHBaYuKK2W1LRsCVilI3c9BTbL6Xe7D9rc5UnORKRks1dXUbfKsN1AbetZaZoGZdUqk/ctDD11v3v0c7YZYxNoSoauGwgBLYdym+QsqTJZWr9O0F9DV9fhJM0BIeInJ30+H54NeXwhBHNTcLdfYuhQXQ8t7SpSVnL9glv1c+SU+3nLlJtTn1FXhqNHTvCDV7/L9et9nD17OmtL0MWLF5mamuTsmSdpb+9gbPw+Fy9e5Dvf+Q7d3d2cPn2aoqKtMhrLsjBNM2t5d1RR2+PxxO2/K3y5dU1kas0JRXQMI3WQPjw0wMTYffZ39lDX0Iyqxg9PhaK4GewNS6vwmqu4XVAsaD/+DO+9+SoXP3iTp57/LD6fP+O+5MmTJ8+jkg+gf06JWoZE//s4RIgybUu6kuVHXe/EiEFhkUJJiuznXpOpfDs6a58p26ppAsOQm33UiuIO1BzHYHxiioaGBizL2hy8RK2/bOlmTRQ1fSl4OmobBaE1yeQYBAsl1XWZB2vLKyazY5KKejVl8AxQVq3ycNpmddGhuCLhPMRkhE3DyDkITiTVx/RImMWH89TUNSBi614TlnWc9JUPqw/BMgR1bW72uHafGzRP3hNMDikszUg6jqQfeC7PQWRd0LDfIdUtFihyy7kfDCpM3Yf6drfE27QcfAkje8dxy7ZNAw6dEJtVA30XJbeuWZx5xsbnT32dSymZm3YD5EhYUt/sYX+XL64qo7bBQ2W1xr07OmP3DWYmLRxHUlSicKg3kCRItK7bOFLi8Qk6er0MXNQZuqZTXquxqNlZha7AneDyegXVdZlfRYmD+6jqdiZKax3mJxXu35WUVDtx14jjOIxPXGNq6jaax8OR42dpamnf3EePx8uhoydpbGnj5vULfPjeO4zeG+KXfukXEUJs6hEYuo25YYelIZiZmeLDDz+kubmZ48ePA9DQ2MinP/9l+q73ce9uP5MPxqmpOI6Xg/iCktbDDgUlWQ8VkF0ALxFLxlejPCqWI9NOWuwm9oblkhBbZdymEV/2a9s2xVUak/dhadZOWf0SJRrUSSkZvmmghyT7j3nQPLlN2A3e7cd2IpQGX2Bu2m2DiUVKMHSJEBK/34+iaG7AuO5w43KYuWmLYCEcOCwoLt06H51H4OYV977uPuY+5xMnkktLy2hr6+Du3dvs33+AysrStBOzd+/epb+/n4MHu2hv3w9AR0cHzc3NXL58mf7+foaHh3n++edpaWnJKXDe2ke5KZCnaRqqqjIyMkJ5eXlc5j3T5RE2LGSKWeGZqQlu3bhCbX0TB7qOuNUHKWY2VE3Dsi2MsMP4bbctpqlT4vEGOXX2Wc6//RMuf/g2p594ftu2j3ny5MmzHYTca1+DjyGTk5MfyfdWVlYyPz//kXx3IrZtEw6HAbc0ai/6onLBDSR337YKYHnR4sI7ITp7/JuezI+Liopy1kNLKf/mOA6RSGRH9kNSSt566y3u37/P2bNn6e7udtcpJcuRrYFQoU/BoyjuwNOUOQtgudsnuXVNsrrseu0WlaSxlHFg4KbNyoKg50kfXn/qANq2JdffjFBRr9KSItPoCkclCy5tB9uK9262LJP33voRq8tLlJRV0NN7mtIy11pGKAJtwyPXkRI7wyTDSL9AD8GBkzIueJHSFQWbGRHYtqCiTlLVJIlNmjiO2zutatB2VGYMfmZGBfMTAn+B3OyzLvRqm73sUkruD0hmJmH/IUFV7dbK1lYkNy+7ge7JJwuSMlShdYc7NyLMz1oUFil0HfFTmkWNdnXZ5nZfhEjY4fTTBUne6SHDRk9osn04bTF809zWtQbQdtBH+8HMz59IJLw50JcS1gw3eM/G8hxM3E2+LudXPmA1fJfiYDtdPceorPdnPD8PJu7Rf+0KlmVy6NAhent7UVUtboJqdXWFH/7oewSDQb74xS+iaRphS2LYEtNwRcnWVpe59N5F1kLTtLWeoat3f849zYqa3t4pHT5VIZjCr3inhEwnZSZ/txEC/IGgO1lhSSJhPWXZr1AUhq64FoAHT2Z/h00MmkyPWDR3eiirdTLqLRQXl7CyskwkHOKNH3+HhvomSvzPsLYSzSKLpJYYn8+HpnmwbcnokMHwoI5QoKPTR2WNmdJvfW5KMnhLUtsAbZ2pz1UotM73vv9tpJQcPdpLT09yFnxmZoZXX32V6uoann/uU5t/93jF5jNhbm6O8+fP8/DhQ15++eVH8pi+dOkSfX19+Hy++D5r00npZOBIWNXjs8+6HuH2jStMjN2nuKSMJ559GU3zoGkePN7kd4V0JNOjJlP3LSSwrydeK+DB+DBXL76HPxDk0JGT1NY3bU42FAR81FQUJK0T9n5sVl9fn32hPHnyfKLIZ6B/TomddbYsC6/38StUg1tOtxfBM8D4iImqQl3TRyAelsbKJ13Jdq7cuHGD+/fv4/f7uXbtGh0dHXi93qR+R9MGj+IGix6va82Ua3+5oggOHt4QFeuTHD1NyvLI5WWH5TlBTbOSNngGNxNfUqWyOGvT3JksdmXbEttObWeSKzKhFPzapfOsLi/TcfAw4yNDvPvGq7S0HaCzu3djYCY2SjvTr1MPw/qSoKopuUdSCCirgaJyyeKUl9lxk+V5N0NdXOH+/eEUmLqgviNzjyW4djmBAsnUsGC4T6GsRtLU7lC4EbhOP4CZSWhoIS54BigsFnR0w92bDgN9EbqO+hHCbQEYiQ7iBRw45KNpnzcnVfiiEpVTTwWRMllF3nJkUvAMUF6rUVKpIh3wKArBHDQHBCJjLzls2e9E0W0np+AZoKQKCsvis89jI3dZnblLc+shCtXjzI4I1h5K6tslvmDq9bS0ddDS3sHgzevcuNHH/fv3OXHiNI0NzW71hGnw5ls/BQQvvfQSHo+HkOlg2M6Gr727AYosobLwJVTtpwyPXqS2uYTyyjR9AAlk835OxW73Qe+V+nYibhm329cvZeqeWXB7oksqVWZGHUxDptV4AFiYspgesahqVKlu0oiEQzlty93bfTiOpOfIcYoKBA9GBQ9GHR7OSfbtV6hpcPvSNU1D0zwszFoM3IgQWneoa/Rw6FiAQFBB1xUMw0BKt/fdcdyJzao6wXpM1U9tY/I+BIMFfO6zX+LS5QtcvnyJe/eGeOKJJ6itrQVcD+rXX3+dgoICnnryubjgWjps+q1UVVXx5S9/mW9/+9u88cYbfPGLX6SkJMfyhxju3btHX18f+/fvZ2VlZbPP+ty5cxQVpu5BjtWFkFIyNjzIQP81LMuk/cAh9nf2bAr1qVryxb66ZDN22yS8JikqE9Tuc/AmtIQ3NO0jGCzkxrULXP7wbapq6jl89BQFhTkoP+bJkyfPNsjbWP2cEjsgTbSgeFxYpnxkz910mIZk5oFJXaMnJ0Xp3SbVd1qWtSk0tBPGx8e5dOkS+/bt40tf+hKRSIQbN2646044jlbMQNcd3Al8fgWP182+uv3Z6b/L4xV0HhXYNgz0JVuLSSkZvydRNUllY/b9KatWsAxYW0wOvIyIvu1sfNTT1bbc8v/YYzo4cIPpyXG6e47TeaiX5z71JVrbDzJ6f5A3fvJdJsbuYzuOGzxnOBeL0wKQlNWk3w7NA+2H/ew74qB5YOKOwugtQWgV5sYFhaWSwtLs+yMEFFdCxzFJRb1kcQb6L0hmJiVLDyXDdyVlldDcnvqkVdYIGlsFD8ZMxkdMFmYt3n9znXt3dKpqNZ54oZCWdl/K4FnVRMrr1RVxSuG5bKS/aVVNoHkFwgNer5L1x+PNLooVKxxkOnLbGVBVc8+T5oGlpWlu37xIdW0DPceOsu+IpK7dIbIO964JZkaS1ZoBhFApKCjkhc9+kc9+/gt4PV7efvsN3nzrp6yurvDue2+zurrC008/R0GwiIjl4AgVj9e7ObkjJUyPuFnL008+RbCggEsfvk04tJ59J3Lwfk6FLZO9j3eK5eQ+cbEb2JaN49iYppHxGiksc0/Y0mz663Jt2WHklklRmULTQQ/Oht90NlZXlhkbuUdL234ChUV4fRpdRwo5+2wBhcUqg7dsblySmLoXy1TpuxTiygduYH7iiSAnnywgEHSHWdGSdGWjAsbjEZvP4JYOQWkFDN+VLC+m3q7CwiKee/ZFnn3mBUzT5Ac/+AFvv/02a2tr/PSnP8WyLJ579sWkarLY8y+EoKCggC984QsIIfjpT3+aJACWjfn5ed59911qa2t5+eWX+eIXv8jTTz/NysoK3/3ud7l06cJmn3Is5sZ9u7y4wHtv/pAb1y5QXFLGMy9+nq7DxzaDZ6EoKDHN/qYhGek3uHPRwDKh/aiX/ce8ScFzlLKKKp56/rN0HznJ4sIcb732Cndv9z2y3V+ePHnyxJIv4X6MfFxKuKWUhEKhuAGEEIJgMPjYstC2vTd9z1FGhnQGb+mcfbaAopLH1/8shBtE1NZWJZ3rUCi0o7JtgKWlJV555RWKi4v50pe+RFFREd///vcZGRnhq1/9KqbiSxrcFvvUrAJC6Uq8Jx6Mc//+EIbulnL7/FBY5O5gMBCkrraH0Tt+avc5VNRvlVumw7Yk196KUNWg0tzpjfm9hWHoqJ7UwVrctkqJY7mlgOkC36kHY1z+8G0am9s4euJc3DYtLy5w49oFlhYXoLCS5555nkJ/6rJPx4G7FwXBElfoKxPRUk8p3azz7JjAsd3gu7033qIqVyLrrq1RaMXd/kAQek6lDnSjSCkZvKkwvxFIBAoUunr8VFSnLzQSwq0uEEKg607WahDdcgiZuc16Ffu0XRGwikQi2LaF7cBaBhuqbITW13jnjVfx+fw8+dyn47xlLcMto1+adQXfmjrjS0N9gQD+gEZ5eTnz8wtYayHuDd2mr+/qpnLxqZNnOXCgE8uRWKrAH3BH+GsrYWzLYmUBxgcU6todymthbXWZd9/4IcGCQp549tMZbbJUTaDkaImXSIFXwas++lz54yrfjkUIseENnV6nQEoYuqrgDygcOJF8P68vOwxd1xFC0HXGh8crMAwdO4tnYnFxCT/90XdYmJvh+U9/mcJAkJIC/6Y1VdQG7m6/jmlIVNXdln37fbR0eAkGlSTRxMR3gONsvQctS3LjosQ0ofNIfK90IpZlcuv2Dfr7b26u78UXX6K2pjHl8r6NCqGoMji4WeQf/OAHNDY28uKLL+akgxIKhfjud7+Loij84i/+IiUlJZimia7r6LrOpUuXuHPnDoFAgMqYygop3QkY27aZm5nC6/PR3XOChqbWpPeG5vHg8XiRUjL/wGZiyMSxoLpZo75N22xjsCwTM0vwHwmHuHXjMpMToxQWFvHpT6cuW8+XcOfJk2e75DPQP4dExcNikVKmtbDY/e/f2+DZstz+s7IK9bEFz0KAx+NmeVMFOaZp7jh41nWd1157DU3TePHFFzcHQKdPn0ZKyaXLl1NmhnKxmxGKmwmJJRKJ8N57bzM3N0NEX0EoK6ytr/Dw4QorK8sMDt3h7Xe/zbo5QGmNu09OqrRdDKomKKlUWJzZyvxIx9nMVORSxh8te0wXQK0sLXLt0nuUlVfSc+xM0sCspKyCJ5/7DCvVPThrC7z17tvINF+8Mg+2JSivzf06FQIq6qHjuKS02u2J3knwDOAvgNbDkqYDUFIOnUczB8/u9wsO9KhU12q0HfRx7rmCjMEzEJcB9noyr9+RkvA2AihzFzKfbqWBjSNxA/cdBs+WaXLx/TdBSk6eezYueAbQvNCw3xX0Ahi7JTA3WvJVVUMRykbJrcQywdG8HDhwiC9+4RfYt6+dQ4eOsH//QWwHwhYowrdZJeHxeEG62W1fYKuiobCohOOnn2JleZHrl8+nzYgKZefBM8BuxLxSysdWvp34vZDZ+1oIKK6QrCw6WDHvFcuUjN42uH1BBwkdvV483o3WjRzedbMzk8xMTdBx8BA+nx9byrggUwhBfZOXJ18opGmfh4pqjXPPF9J20IfPnxw8A0mTJEqMHoOmuVU/igo3L0uGbjlp35Oa5uHokeN8+ctfprm5mXPnztFQnzp4Bve5GbWiihL93Pj4OJcvX856PCzL2sxYv/TSS5tK3tF98vl8nDnzBJ/59BcoKSllZWV562d1mfW1VSLhEK3tB3j+U1+isXlfyklXVdUIrToMXNQZvW0SKFDoPuuj6YAnTgNA0zyoWbzZ/YEgx08/zZknX9zwYf+5yxflyZNnj8j3QP8ckk510zTNuBfsXrBXituxjA7pGIakt3vvrSwUxQ0Oc1Hc3gmup+cbrK2t8bnPfY7CwsJN27GysjK6urq4desWLfu7KC4pjfusbcuc7vBon3T0vNy8eR3btvjMpz9PSUkpUrre0Auz0HVUsLS0zJVrHzD78ALn3xqi59gZKqpqkmxHEimrVlmadVhbcvAX2Nj2loK440CmqY5oFiodeiTCxfffxOP1ceLss2mt2YZXTC7adbQW2bSv3OL69av09p5IWu7htMDrlzmrI8fi2QjGHhUhoLha0tio5qy+LITN0dO5Re2aFp/1Fxn8xwEiZvLEWyasHK+/TNgbpbYhc+flw1JKrl46z+rKMmeefIHCwuK0yxaUQHOX6/c9PiBoPSzx+d1nomNvHBspURQVw7YJBAp44tzT7t8lhCwHj9fNgkYrRoUQLM+rGBGH5q74fvjq2ga6Dh/j9s2rDN25yf7OZKusLLdVVixbwiM+1i0pH2v5diJCCBCknUAprpDMTwiW5mwq6lUeTtmMD5pYBlQ3q9S3eTYD1VxKeVUPXHv3PH5/kH3tnYA7gZTqRvR4BZ09W/XEipK6hQfcYDPxXaCqwu35tiSBoODYGRgfkUyNwcM5SUuHK1qWGGxKCcVFpbz00ktIxxXjTIeUJPk4a5pGZ2cnDx8+5MaNG5SXl9Pe3p7m85Lz588zNzfHCy+8QGVl5eZkghACVVU3bDElFRWVvPjCp+M+v6bbOam3O47CxKDF7JiN5oHWQx4q6tS01U0ejxfpOFknp6tq6vjMF75CXVW+FzpPnjy7Qz4D/XNIugDacZw9z0K7/ap7t3494jByz6CmXqOkbG+zz6om8PqUjMEzsCEcs7OdvnDhApOTkzzxxBNUV7slcdGBi6IoHD16FE3T6L92JemzppP7oDeaCVldXeHu4ADt7fsp2QjIhRB0dAsKiuDuTcn8VDH7Gl+i9+STRMIh3n3jVa5fOo9hZFbRLqlwe/7mHuhYVrx3KFkG6JkS3I5jc/nDt9H1CCfPPovfn7o5TkrJd++tUeJV+KVzPUz4m5i4f5uJ0ftxy0XWIbwqKKvNrJz9WJCSiOVg2DLpJ1VmMVFwKx1CYTOgiMUNqpOXTycclglrF25027YImw72Dqs3wBWBmpkap/vICapq6rIu7y+AhgOS8Jpg6r6yOXhPLCNWNA+RmH+HTAfN4928Px17q/R4esS1qkqlr9S2v5uGpn3cuXWdqQdjcX9TPdl7xLOxG33Q5segfTSTX7O/ADw+yey4yZ1LBsP9Jr6AoPusj+aD3rhrPdv9oXoEUxPjzM/O0NlzdDPLKYTAycESLJOQmaIoKSf3Yu87VRO0digcPS0IFsK9AcmNS5K11eRzaFmuQF3WW1MqSZPj0cD3zJkz1NbW8u677zI3N5fy4/39/QwNDXHs2DFaW1uTMumqqiJlakFQ2yFr8Cylq5g/eBlmx2yqGlUOP+mnsl7LeP0LIfD6/DndIx+lVWeePHl+9shnoH/OiPo+pyPq8bgXmKbkEcbBOXHvjo50oKNr77PPuRwm27azCrTdunWLq1evJv0+mrk+dOgQBw4cAKLCTlsBtM8f4EB3D/3XrzA3M01VTW3cOixH4s2x/FNVBdf7rqCqKkd6epP+1nkE+i64PsQNB6CgZB81dQ3cuXWdkXt3GRu9h5YiXaZ5PBw/9TSl5RUUlgpWFqB2X4pkjkPKNHSm7HMotMaNqxd4uDDLsVNPblpVgTsgW5gStB6SKCr0zeuMrlr8yoEiGgo9VHX0sjiwxvUrH1BQVERZeRXgZp+F4vo9fxwwbAdSjPkVISjyJR8w27bSZuCjJJbtx/3NK9Aj8cc7k3BYOqSUWI5E22EftJSSsG65+79D5manGBy4QVNLO/vaD+b8ueIKqG52mB1TmBm1qG1NTuEKIYhEVIb6LISA+gMqhSl8uKdHLSwDOo56UZRkBX4hBEeOn2V9bYUrF95B20YVkKIoHD15hoamlozLWVLi3aEftJQyp3aQTKwZDv/H1UVmQ6kj8Y4yL794sIiKQIaHarYy7kpYeACq5tDS5aGyITlzKR0HZyOA1vUIF957nVBoLWl9tmVRWl5Ba1s7EoFtulUHtiMzlsrkIorn8XhSBvGaR8RNMAcLBYeOw9w0jAxK+i5INC3FeRBQ1yhoakv/vaqaOhDVNA3btnn++ed55ZVX+P73v5+yCk3XdVpbW+nt7d38XOJ6IpHUE6hmDi/9qfuCxWlBsEiwv9dLQUnuwa4bRPvQI5GcP5MnT548j0o+gP45w86iPmrbNrZtZx2Ab/t7rfQiMLvF2qrNg1GTpn1eggV7O9usabllhrJ5GzuOw/Xr1wkEAtTVJWfHCgoKOHz48Oa/E8+Lg6D9QCf3Bwe4ee0yz738ubjtMm3w5ngqZ2dnGR0d4UjPUVRvgBU9YZAnoOUwhNbYLG32eLwcPnqK5tYOJh+MpiyxnHowzoXzr/PUC5+luLKQ1UWF8JrrdRy3LzYoKbbVSTHmdhyb+4MDDA70AXD46CkamvZt/l1KVwVbDwsWJiXlDZLvDa9TG1Q5VetOrrzcWsQ/m+7l1PKHXHr/LZ564XN4PUGWZ6Gkkqz2Sh81jnSz0ImOaZbl2v+ky7hoWQTb3F5Jd8ILXOGwnWaTLXvnAbRu2oQS5eW3yf3B2/j8AQ73nt52Jre2VcXU3ZJSf4FCadXWxWlbksn7FjNj1qZ41J0LNrWtJrX7tM2qFEOXzIxYlNWoFJaq2LYPQ08e6KuqyslzzzE8dBvbskG4VQLZtnhuZprrly5QU1ePluGCtZzcnwOJmI7ccQUNgO1I/s/ri0ysmpyrDySdB8uRXJqO8D+/N89n2gp5obUAT4prRhECO0MZd2W96wpQXisIFiopz7cVU749OHCDleVFmltd/2Ihtnqt3UmNkyAU9xx4QBFKxn5yVSVrNZK7nLopjhaLEG4LRWyLkxCC6joor4Sp8a17MhY9DOPDEl8AqutSqekrqKqGlMkWgtGS8kAgwKc//WkGBgZSTrD7fD56eno2s9aJzxZFURCoQPLDOlvvfHjNdTwor4N9h3w7qrhQFBWv15e1CipPnjx5dot8AP1zRi5CVqZp7moA7dgy5Yt/txm6raNp0HbAm33hRySXvsRchMNGR0cJh8M8+eSTNDc3Z11n4sDFQkHVNLqPHOPyB+/xYGyExpatQDI6+M02KJFScvHiRQKBAJ2HDxMynJQDVV+QlF655ZXV1NSlFrHpOLjEa69+i4vvv8nZJz+NEF5W5gXBomQhO7fNUMT9LrH8dH5umpvXLrK2ukxtfROHjpwkEIzv+w2tgB4WqB7J/APBXRliPmzzG4dLUDfWX+RVeKallLeHenli7QKX3n+TzgMv4zheymofr9rwTjFtBy3hmnArF/SUpeyZ+jNjUTWBvWETFnkEFapsPsSWI+Ms12JZieg7Fg0DV3V7bmaS/Z09O3qeeTxeWg8J9JDD8E2DztM+SkokD2dsxu8YmDpUNqg0tGtICQ+GLKaGLRambJo7PZRWqUzeM5ESGjo2/G1VFU3TUrbK+P0Bug4fd5fLQZUeYGF+jrd/8ipDA7fpPHwk7XK5+EGnO8/pzk+ufHNghaFFk79wuITT9anbKz7bXsifDqzwytAaFybD/HJXMQcrkhW1FSV9O4fmhapGAPf698WU9irRPuONzO/62iqj9+/S3NpBzzF3ckX1xD97SktLWVpa2vhegderJj2LokG3ooiMJebxn3E9o1NVJikJehSb++YRNLVB4pSKEO7frn1gc++2JBCEopL4Zbxet/dZOsle4tGA2LIsSkpKOHPmTNbtT1ehJlIovdkOca05iuK+rxzbccUBHcnMiEDVJA3tmcu1s6FqGprjYFmP35IzT548P3/km0J+zsilP9KyrB0rRicStUnaaxYXLOamLVr3+/D6Pvrss+M4OQmHDQwMUFBQQGNjegXVWGIDaCklcmM7mlr2UVJaRv/1q0ke37mIt4yPjzMzM0PP0aOYqNvKvroDwvQfKCou5dS551hdXubGtfcJlkhWFlLHRtIBPRJmeWmR5aVFFhcWWVl2f+YWFrhy4V0+eOc1HNvm1LnnOHn22aTgGdwybEWVtHRLHBtmxxU6Sjx0l8dPrjzbGEQNFvOg8ijLSw+53f8BeB5i2lvfu7K8yNrqcu4H5DGSTuk6XetAptLtVMtG7Efz/jUzVbs4knXDJmyl/slFKTkTo8ODCCFobu1I+Xc365hO7MmDUFx9g/ajXoQCQ9cMrr3zkPt9BppX0HnKR2u3F49PwetX2HfYy8ETXhTVXfbuFZ35B24/pz+4dd+6fdLpoy1FzS14BqiorKK+qZnB2zeJhMNpl7Oz6CGELYewmfrnUdTU3xkP8c5EmJdaC9IGz5ZpUuIV/EZvGb95vAxbwr++vMi/71tiOaEKRqjuM211ZSnu/oz+RMKuB7N0nLhspKqBojoomkQogoH+qyiKyv4ud9IhMXhOxM0OaygaoGw4Lvhc1wWvV8m5IilKpjap7QTj0WqSrqMKXj8M9Mm49gtFUTafzele6dtt2Uo3GZXqmk4s3/Z4fWiaB6/Phz8QxFj3sr4sqGlV8PoePZ/j8XpRdrl6Lk+ePHlSkc9A/xyRrf85FsMw8PsfvY84lcfwbiOl5G5/BJ9f0Lxvb7PPrs9z9uVyEQ5bXl5mamqK48eP5yxwEjt4MR2JEIrbS6woHOo9wfk3X+P2jWscjlGWNuzkMt9YHMfh4sWLFBcXU9fiBhturzU5iQ9pmifr4LG+oYXunuPcunEZT1MfmtFLZD3ea9e2Le7c7ufenf6016mDQvuBw3R2HU6r+m0ZsLoAZbUQKITVoEnHeoBjDckZDp8q+GxrAX9y16Grtoel6RusrI8wPJG83gNdRzjQlT7L91GQqc/YNI24ckuPR6S01kmHYT967ysb9keehNJWKd3gOV1Q52RpNcmGbduMjwxRXduYcoIF3AyzqmkbmTBnMysmpYzrQ/YFFNqPerl7yWDJMGg66KG6UU15LIvKVbrPKsyOWUzes1A1qGuLn1zSPApCVTENBwnguMGNdFyV5wyxdUq6jxxnamKcgf4+ek+mzyDaUqKkuE9tRxIxd7/i4u5DnW8MrHCo0seX9hemXMa2bV7/4ffw+nw8/cLLdFf6+P88UcmPh9f4ycg6/fM6X2gv5OmmIKoiEFJy6YO3mJlKcYPiPrdOnXue6tp6HNvGNAy8Prcs2LYsFCFYWp5j6sEYB7uP4PcHUHPoW97UnVAFQiXOTmknRO/LdM85VRMbtmkZtkllc6LF5xd0HRH0XZIM9EkOn3DLyWPt2txneSrbqNQl5Zm2OxHHcXvEE/cptnxb07SkCeAH92x8AUFti29bz6ZMaJoHI4dEQZ48efI8CvkA+ueIbP3PsUSz0LkGdrZtu31QSeW3O9rUbTE7ZbGy5NDd63/kgU021BwyDZZl5Zx9FkJsCoRlI/H4GhuDE0VxLURq6urZ13GAwdv9lJSW0dTa5m5PliDo7t27LC8vc+bp5+J9TlVcYa8MCCGyenECKKpK2/4uVpYXGR/ro7qklJX5FgKF7rbNTD+g/9pFQqE1Glv2Ud/Y7NpwSXeA/+PRdebCNitqEfOU0pUhylicBSkF5bUOy7rND9aW+CWlCnXBA1XJx+JUrZ9rYwZF5lFKG2opr9eTfGfHR+8xdKefppb2tAHZR4WRps84tpRb2eagX7cc1gzbPQ6POBa1neQAOmQ4GSsjcrEaysT05BiGodPatj/tMmJTjE91s2cbl3GqloeiUpXusz7KK0sJR1YyfreiCGpbPZTXaTiWjFNlVjWBqgmkpSKE5YYzarT3X+TUbpFIUXEx+zoOMDx0l/YDnRQVp/ZeM23wJFzXUkrW9yB4ng9ZfP36ElVBlb/UU5IycAe4f3eA9bVV1tdWuXrxA06cfRKPKvh8RxGn6wP8l9srfPPOKh9MhvmVrmJCozc3vJkPU1JanrS+uwN9XLn4Dk899xkKi0qwLBPNqyClZ9M27+a1y/j8fg50H8rpeQ4xlT/SnbhMLi7fPj6fD9M0U5bzp+qHTkSLvaeEKzp24JCbhb53W3LgsBKXXU53u8WWcWcjXbY6+p5XVQ3Hcd99seXb7v7ET24vTNqE1yRtR7w5V1zkQvQ9mfd8zpMnz16SD6B/jsilfDuWXLPQlmURiUQ2FaKjVh3S2fsOAceRDN6KUFCkUN+0t6pPQmS2UgFXNMw0TYLBFI3CMViWxeDgIK2trVmXjZJYOmduBtDK5rk9cuI0qyvLXPnwPIVFxZRVVLrlm45MOUgxTZMrV69SXllFXUNT3N9yGcdrnuzZ581lNQ89x86wtrbC3OJ7BKaKKKry0t93iZmpcQqLijn79EvU1NeBANtw+7e/MbjKDTvAnztSzLrp8F/vrfGjkXU+uy85qyWlK0hTUCLxBeHbd9YJSYfiOoeVKZXQagrxMkPwNKWsYOPUFXG4qSZpveVV5bz2g+9y93YfR0+cy2l/HxeWE+0dT/6bW8ptUOjPfcgfDZ7B7Tl91FyO6UhinyIR08HIMrO23WdVIqP37xIsKKSyOrVtVayafaq/pSJQqODzq4RzFPv1+gT4koNnSG+ps9Me0M7DRxgbvset61c58/RzKZexU0ykhS2Z8vePQsRy+P1rSzgS/kpvGYHEqH0DQ9e503+DmvoGKiqruNV3jeLSUg50uaKJVUGN3zxexrUZnT+9s8L//U4/h9du0tDawcHuoymPVUlpOe++8SoX33+Tp577LB6vF9syMBX3Hpl6MM7C3Cy9p85uT+08+uzVw5jSu3NFthhUVUVVVRzH2QykY4M+RRGoGinFNzUtvprEfbZLyqsEze0wdk9SVCLo6Nz6jJRulUOqTG+6vvxUy6VCblxDqqoS7RyJLd9OfE/YtuTBPZOCYkFZ9e6OE9x7W33kSbg8efLkyUS+B/rniO32NefSCx21Wor+f7T3MhKJsLq6Rjgc3lNv6YkRk3BIsr97Z+qd2yFTtsJxHMLhcFbLqijDw8MYhkFnZ2f2hTeIHXRbMT2NsT1fiqJw+sln8QeCfPDOG4RDbk9gbCmuIyWm4xC2HC5duUYkHOZw74mkfXMHIpn7AtOVUadC1dwB48kzz+Dx+JiY+Slv/uS7zM1M0tzUy6GuzyPMWubGIbzRcvzeZJj3pyK82BTkRI2fpxsCnKn18+OxEFdnkyOZtUUwddfDeWLV5MPpCE/WB2hqEWgeV7AmNjHh2DA+IFAcGAiu8cOJ9SQxJaEICouKadt/kPHR+6wsL+W8z4ksWw7Dq7srciOlzKiSLcld0yA2eIaNgO4R7ytLbqk4G7ZDOIuy9nYqZVKxsrzEw4U5WvYdSHu/Pm5P2NjgOfr9u/m88vkD7O86zOTEGAtzsymXsRL6oC3HQX8EgbhUOFLyhzeXmV6z+LWjpVQXpH8+3Ll1A9MyOXz0OAe6e2hobqX/2hWmJ7fKs4UQHKv189tdgkPr/SxppXwrvI8L05GU5f/BgkJOnH2G0PoaVy68g0QStiUfjiyiWzb9165QWFRMS1vqvvh0KG4/Cxg6jmE8ki5AqnX7fD4CgQCehEBTVZNvPyFSuxVEL+mGFqisgeG7FnPT8c+adI+BaBl3JjIts5WBVhFCYWlBsr6+NcGbqJExO2Zh6tB4IPcJ2FwQikDzCFQt3wedJ0+evSUfQP+cEA1ut0u2UmTDMFIOzqP9W45jo+sRwuEQlmXualnV6rLN4O0I5ZUqldV7W0whRHr1YsuyCIfD2zq+t2/fprS0lNra2uwLbxCbgY71xk0MBnx+P2effh7TNPnw3TfdSQ1bEjIdVnSb5YjNzMIKb/z0NW7336ChuZWKqtSmx4mqrbFsJ/vsbqeKUBT8gSAnzjyLI238njrqy7+MahxhdtTD9LDC1D3B4FW4PeDwytA63eVePrfPLZsWQvBL+4toLfbwn++sMJEQjD6cdpW3P1xb5/euLRL0CF5uKUBVoapZEloRrD50l5USJu8JwmuChgOSFzsCrJuS/3xnNV45duMYHDzUg+bRGOhP9uzOBdUj+OadVf73q4sshHe3R89MYxGnqu7AWteT/YcTiSQEz1EeOdbcsNuyndzKhR81czQ6fBdFUWhqaU+7jHiMAXRi8Bxlt4P4js4u/IEAN69dTnuuo2XzUkpCGcqDd8qr99bom9X5ysEiulKoaEdZX1vj/t0BWva1U1xahhCC42eeoKSsnIvn34mbpIqEQ1w5/xYFwQDPP/881YVe/vjuKv/btSUm15KvlYrKGg73nmZudoq3Llzkf3p3nn/fv8633utjbXWFQ725a05AzGRHOARIsMycVM23SzSQ9vm2jptb+pxgPeVJPZEbnewUQrD/kEpRicKNK2HWVrfu6XSbHS3jzkTa7LOM79VeXxXcuia5ewXmxkFNCJ5NQzI1bFFapVBUtouB7kbZu6uKng+g8+TJs7fkA+hPIDvJ6O60JNKyrLSfTaf0C8lWI47joOv6RpY2u8BWNgzd4dqFEB6P4PDxZG/R3SZV8CylRNd1IpHItvZnfn6e+fl5Dh48mPN2x5acWo4kEhMwpSpHLSkr4+TZp1hcmOfqhfcxbTfbZJgWd/pv8NMffIe5mWkO957g5LmnMnxvmt+nyCrkQnSQVlFVwae/8FWeefk5Dp8LcvC0s/nTeUYSKJc4Cxq/pFXylZoSRIz4jaYIfu1QCQUeha/3L7NquEGZEXEz0LfsEK+OrnO4wsffOlFOwUYJaVkNeAOSmVE3C73wAJbnBNXNDsUV0Fzs4YtthfTN6/xkNJR0DHw+Pwe7e5idfsD83PT29tsj0G3JwIKOLeEHI+vbPnaZMGWy4JAreOdufDZV+IjlsJ4ieIZdCKBx7bbWDDurLZWUEucRyrcty+TB2DB1jS14fekDuB0PsLf5mEkXPAO7rhasaR66enp5OD/H1MR4ymWiCeewlZs6/3a4Mh3h1fvrnGsI8Fxz5raU231XEULQ1XN083eapnH26edRFZUP3n4Dw9CxbZsP3nkT0zA4+/TztFYW8TdOlfP/OFTMbNjiX15+yHfurSZVjQRq9rFa3MLaxF0azUmerJKIqTuoRRVJrSrZUFQFLBPsjXedY2Oae1dVlSi2pShi8/2jKKStCorVbfB6PfSeDqKqgmsfhjZ7qTOJQmZS445ab6Uidv5cSsnwXRvNIykqg9kxhdsfWiwvbN3TU/dNHBsaOna35crj2VLWV1VlV6048+TJkyeRfAD9CSO2ZHo7PEpPYaogORo8psLNdqd+UUvpDuQjkfCOg2jHkVy/FMbQJUdPBfH5ky9jKWXO5dSpPmvb9uZ2hsPrRPQQ6+vrcT+hUGhH3zEwMICmaXR05F5GGB1QRdWLE4+doiYfg/qmZrp6ehkfuc/QwC1mp6d4/dVXuNV3lZr6Bl763JfZ33UoYzZGCIGiJg/YPDsInoG4km/No6B5SPqRXodvri3wEx5S5BdMD6qM3RYYMRXbRV6FXztUwrrp8Af9yyyEbd7u13EkjCgR/kpPCX+hu4RS39YgSgioaZEYYcGDu4KZUUFxpaQyxkHsucYAJ2v8/HB0nb65SFLZfvuBTgLBIAM3r+Z8/apetxT+5ryOJaGrwsuV2Qhju1nKLWWS3VBipiraWpH4LNAzBM9AkqDaTtBztMOKqmAr6vYUw6M8GB/Bskxa92UW5ttW9le4QbDHJ/AHVDxe99+KmlDevnGvqJrA4xV4/UpG4ba9KCNv3tdOUXEJ/devpKwMsm23fWO3S7fHV0z+6OYSbaUefrmrOOPE4NLDBcZHh2k/2JUkyBcsKODM088RCq1z4d23uXrhfRYX5jlx7klKylzRMEUIzjUE+XtnKjlT5+fNiTD/9OJDrs/pCI+PV0fW+eeXHnLDdwCtpIqGhzdpW+7HJw0+FO0MLGzv/akIFSKhuN9Zad59u0Vi8KdqAqFkFgKMPeSapuEPKBw9FSASkfRdCrlVYRlOe6YS7VzKtwHmpi2WFx2qW6C5CzqOeUDC4BWDe30Gq4s2cxM2lQ0qgcLdu/61WIeBcBgRWUe1LbBtyGuJ5cmTZw/Ii4h9wnAcZ/NnOwOwRwmgo1noOAsl00zbV5lLXBEVTvF6t2c7JaVk4EaEpQWbw8cDlKQpAbNtK8nGJxumaWDbrqVNbHDk8e6eoqdhGNy/f5+2tra4Uj1VVTOeo+g+hC0nZfmgm1FLzoocPNTDytIiN69dBqCgsJBzz75IbX1DztucqMSsKEpOytupiIrMpe3JFYL/2L/MTMjmr/QUsb8EFqYc5sYEQ1cFVY2SigY3E9NU5OFrB4v5w9sr/JMLC/xZtQo9YPHbx0rxpAm+isohWCRZnhf4CyQNHTIhBhL88oEi5kIW/3FglZpijcbirWtU1TS6jxzj8gfvMflglIbG1oz7q3rFpgLx1ZkILXKeJ4kwqdbwyr01fvNo6a5VT5i2xLsx2aFqqfvXLcvCsixUVcXj8YCiZi2rdrM6ZL0HFsMWr4+u8Ln20rTCUdmwN/qjFdX1BLdziPOklFye1ZleMykauUtxSRml5ZVplxc59h8LIVA01w4o/vOC2Pmq6GHZ7nnciwBaURQ6Dh/j6vk3ef9aP08e74n7u+lI7BzjRyklUw/GGR8ZznjuLUcy+NCgBzjg8XL1fYXWtv1U19WnXOfNa5fxen2bYmGJVFRV03vyDFcvvA9A5+GjNDS1JC1XFFD45QPFnK4N8M3BVf6vW8v4764QsSQnqn38mf1FBNXneetH32NyapLa2joKPWX8Qd8Sf+tMBTUFGh6PJ+skqGLpSc3DlmHuSDE9V1JtlydN6XYU9z6VCLH1zist1+g+4qf/WoS7/TqdPf60gpJCCAKBQMpznel7o1ltx5HcvRXBXyCoqHP7kEsrNYrPqUyPWEyNWCzO2CgK1LfvXvZ5czIrim2iSBvFkqBH3ABa1ZAawMfLQSFPnjyfXPIB9CeMaOARtY3Khe34P6fDNM3NADoa/KYjlWpo6nUam0qkuTIxYvJg1KS1w0tdY/qXcFTRVNd1/H5/1oGOaZopM/tamkBkpwwNDWFZVpx4WLT3LRxOn5VXVRXTloTTBDuZVH2Pn30CCRSXlHCg63DOwW90ORXiBpA7DZ43Px9jdZLIVMjk2qzO59sLOVDuAympbICSSsn0sGB2TGFpVlLXLikshWPVfpZ1h5UFCKyrNLeJJKueWISAunbJ7BjUtsmUYjweRfCrh0r4V1cW+XfXlvjvzlZS5N1aaVPLPoYGbnGn/xq1danLQYUQKB42g+eI5TA+Ncux5WsMP3Q4pQ3Rv76fWwtdHKp8dL91iIp1uZML2W4p27YxLYuQCULTMpZvgjuJIjPMwRm2w7+9MsPYikFFQOO5luJtb79b+WEhlI1AQcn+HJlat/jTwVXuLZsUm0ucWlmkp/d0xvs923NTKMLtHU9ReZFy+R0GUdHWi0d9NkeRUnJhKsJ/veejw1OBc+ca8001VCboG+RSCbC+tsr1yxeYmXyAPxBMO9EpgYWwjWZLqoIq+rrOiq7zYGyUhuYWeo6dIhDjMjA7NcnczDRHjp/Ck2HytLV9P3okgh6J0Hk4tfe6IgSOgNZiD3/zZCUfzBj0zYb4bHsp7SUaDiaK7XD29Blu3b5NT/chDqhefrfP4N9dXeTvPlNP0OtFIrHSlGQLJEqqv9kWpmXj9ezNECrVRGNudlvJ2ev6Zi+rKw5j9w0KixVaO3xp2zK2O6kj5VZWe2LUILwuaT/qxePdapNQVEF9u4fyOpUHQxbF5YqrUJ8jmSypXKXymHU5Ehx7Q2ht4/6yHYhmo/PkyZNnl8gH0J8woi9Uy7LcDFIOPKolTPT7olnoTIJE2/V+1nWdQCC3HuaHcxZ3bkaorNHo6Erf3xgrmOY4dtZMd9TqJ5F0aqc7RUrJwMAAlZWVVFZuZciiWXKPx5O2PF9RFFYylNlm8r7UNA9nnnp2W9uqqEp8hlyROGnK8rdLrNVJIu89CONR4JnmIIrY6qX3+KCpU7K6KJm+LxjtVyiulNTukzzXFGR4SWD63aA6G/4CaO7KvC8lPpXfOFrK711+yNevL/JbJ8o3vZaFonCo9wTn33yNsZFBysrOIBThDkoVt0028Xq+/mCJQ8vX8PoDnDn3JP3Xr9K90M/NDyZpeOocpSk8bbfNRhl3gTd7htUVkXLcsm/bRjpOxoBGUZJ1DWLX9Yc35hlfMSjwKFyZXt9RAB3tfY7ec0K4ZasyRcWFbrve4G9OhPCrbtXA7MBtLKEy5asjOV8Zuy8xQYIQKCIqPMSOysYfhd0KoKfWTP741gr3lkxaSzxU151hte8Nzr/9Jp/67Odz9i63bZvB2/3cuXUDRQgOHztJ+4HOlIGVlJL/dGuF9x+E+bUjJRyvDcSvo7+PmckHdPX00nagEwHcvHaZgsJC9nVkLrEHt3omG4rmtib7fT5eaA3wQmuMB7YC1kqY4qJizp4+A7j5x9846OH3bhl8/eoCf/1cLR6PF9tKrfyumGbaRjfLMPYsgAY3C52uTSod7uRP8jbt7/axvmoz0BehqFihpn57lV/piAbPliW5f0ensFShtCr188cfVGg/sr3vVdSoiJrYLEF3nA07LiFQE4dAztZkhyJAVVQ3gM6TJ0+eXSbfA/0JYyswdHIuK94tGynTNDFNM2NAnm6QnY5oT3Q2QusOfZfCBAsUerKIhiXub7Q0O+X2Og66nloELJ3a6U6Znp5maWkpyboqOjj1eDwpB6qKouTk17qbJaGJGcndnEgQG9mVRCKWw6XpCMdr/RR4lJQK4EVl0H5MUtXksLoAQ1cEMyOC0IqgvCa+HPvRNlKwr8zLf3OohKFFk28OrMT9uaaunuraOu7e7gPFQvO4ZYSKSL5mbNtm7Mq7aFg89ezzVNXU8uynPkNF50k85hrvvv4qt25cxrIevSfacmROmdOwFd8zHfWhTUemPugf3l/m0tQ6X2wv4qn6AIMPI6zo25+0s23LDWhj/W0TrgEpJTfmdf7pxQVeHw9xqsbP3z1VwYlyBc/yA8JFjXzzXpiR5fTHMnrtaR6B1yfQNnqaH3fwDKm1C7aDbjl8++4q/+T9BabWLf6b7mJ+53Q5nz1QwWDZcUzL4oN33sTO4R0wOz3J66++wu0b16irb+Slz3+Z/Z3daZ8rb42HeP9BmM+0FWwGz+BOkHUePsKLn/syFVU13Lh6iTd+9H1uXr/CyvIS3UeP75qAmqIINI83aRsVVeD1+FBTNP12V/r5c52F3JgJ8c3+hwghUk9G2yaqk/64WZHta5FsB03Ttv3+0bTULUuKIug5ESQQVLj6YZjQ+u4EldHY9N7dCKYBjft30ZZKuD7YUaLZ5qi+gOZNkZWPuc6FAuoj3l958uTJk458BvoTRGwpdjTLmq30cqf2VanIpMgdJZ14WOb1uuXhmWwy+i6FkEh6Txck2Xokb0PyoMcwdPz++MA7WuKdOmu7s9JtKSWvvfYac3NzSZkl27bxer20tbXF/T5acieEwOv1EonE+xs7kpxEf5QsfdS5IgRJWQxFEW5qdRu94LYjeWN0hXfHV/mN3ioai2N7vpPLuC/P6ei25OlGt+RTEQI7xXcqClQ3Q0mVm42ef+D2/pXWbG8/MxEd35+qCzC5ZvGT4XUE8MX9RQQ3asQPHT3OGz/6Pm+/9iMOHzsZV6oaRUrJ5Q/Po0WWMFtPU7ohhCSE4OneLv6X9TKK5m/D4G0mx0fpPnqCuvrmHQ9CHcUt0VUyfD5ipRaRMg0dRREpFarT9UFfm1nnO3cXOVkb5LkGP1PrNj8aXefazDrPNOeehY4+pxJFkmJ3Y31thZ+8fwG5Nk+vEHgUgboC790FR7q6EC8cO8T9Ickf9C/zOyfK4kTkNr8LhddHV3hzdIWnW4r49P7SzeqCx002NXBHSt6bCPPj4TX0FK0xpiMxHTjXEODL+4so3Gg1UFToba3munGYIw+vceXCeU6eezrldRUOhbh59RITYyMUFBbxxHMvUlOXWSNhYEHnW3dWOVLl43PthSmXKSwq4tyzLzA5McaNKxcZGrhFWXlFyn7mnSKEwOv3JE3cKgpgGni9HiK6O9ksAK/Xi6qqPFcPE6ECfji4xNsjK+6jDbkpOCUEfKGtkE/Vpz8/lmkiHWfPLNGi1lLbmQD3ej2kc4HzeAW9pwNceGedS++t8/RLhY80aeQ4EtuShMM2E8MmZdUKhaW7KQyWuWw95d9i3n9uRUkWzY08efLk2SH5APoTRKqALFsAbZq7672caV1R7+edYBh6WqXPxXmb1WWH7l4/wSzKnY7jpAwi3b5tA693K4jTdR0nRco8m9ppJubm5hgfH6e9vT2uBDpKfX193DlTErKx2kY/anTQ5EiJ7rhiRtnYrQy0qqbOfGQq401kaDHCf+5f4MGqgSLgG7cf8jdO126uN7GMW0rJ+ckwjUUaLSVb2aBM3+kLQHO3ZPWhO/DdoTB4SmIzrl/sKMSyJW+Ohbi24XF7stZPaXkFPcdPcev6FaYnJ+js6U0qdx0auMWD0WHuBTr40sF98d8hBF/qLOf/e6WbzzS3453u48qH71BVU8/ho6coKCza/nYLieVsiYklYjlO2j56KUGP6PjTtFQoKnGD8werBv/++hwtxV5+eX+h219eoFId1Lgyvb0AOjrplZjpdtsSbIbu9HPn9g2QAq28idZSX1K1QUFhMTUV5fy63+J/vbrI128u89u9ZXHHYnTV4ptXJplYNagp8PCntx5yfmyVP9dbRVdVgMdNptaL0WWTP7m9zNiKRXuph8bi5AtcAMdr/bSVJpfGPtkY4LWRatTGQ0yM9lNcWsbB7q2yaMdxuD94h9t913Acm87DRznQfTirJsVcyOIPri9RU6DxF3pKMk7WCCFoaGqhprae4aG71DY07mpVj8frQVVFUnuJUICIgRACn9eLruubwXOUP9vmoyzoY2mjWkI6NrZpgpRMr1v8yZ1VyjwFnK5J3S4kkdi6gRbYHQ2DVMS+C3JBVdWNEufUfy8oUuk6EuDGlTATowZN+9K3QmVCSrlpjTU4oCOd3bWlcvuXt3mdSEicPVA2stD5ADpPnjy7TT6A/gSRKoDOxm6Vb+fCdsu3Y4kV/EpkfMTA4xHUNmR/QWc6Jq4QmoaqqhiGkTJTDeDZYfAMWxZVn//851lbW8u6fKqg1+v1umrJjkPEAiVLxj12XW6WcNubHUc6kTBFzX6O1wybb915yPmJNcr8Kn/1eDWLYYs/uf2Q/vkwh6vcLG1iZmB4xWRyzeJr3fEWOIkK4IkIAcUV29q9rChKfBm2IgS/2FnMqfoAf3Jrhf9wY5n3J8L8clcxHQe7ONjVzTtvvMbNq5cYuz9E76mzVFRVMz05wc1rlzGK65kPtNOeIsjpqPByuMLLG4uCv/fkp1mYGOLOreu89dordBw8TPuBQzmL7EUtt3RL4qQZQafKYsbi3ocRfL5k4b3Y4HbNsPm3l2fwaQq/3lOGZ0PwSwhBb5Wf18bWWDNsCr25bbsriphc/j47Ncm1Sx+yvrbKjLcGT2MPf+5oTcagrbZA4893FfP1m8v88Z0V/nxXMSFL8r37a3wwHaHUr/Kbp2s4UV9A30yI/3h9nt99d5KzTYX8yuEKSvyP97WoKErccytkOrwytMa74yGKvAp/qaeEE7XZhRATqQpqdFV4ubDayJea17l1/SrFJaXUNTSxMD/H9YsfsLy0SE1dPUdOnKGwKPuETdhy+P2riwgBf6W3FL+W26Sd5vGwv+vQtrY/G4q65UWvalvilYoiEJJN32ZFUVIKSWoKfL7JA8LnLitVDAMs28Z0FP7tHYc/uLVOTVClpSj1NWEZ+p4H0JlEtGKJamkoSuZ2n8ZWD2PDBgM3ItQ1etB2oJhvufMMLC5ZzExYVDeq+At2KfucULqdM45FomeV65ud2qEiT548eR6Fj0UAff78eW7cuEFdXR1DQ0O88MIL9Pb2pl2+v7+fP/7jP2ZsbIzCwkKeeOIJvvrVr27bEumTRmJwGM22phtgRy2ZHgeZvJ9zxbZdi53YDK0ecZibtmhu8ybZyaRbRybcTIQnpWgYJPhJbhNd1xkeHmb//v05X4vRc2c7buYw+hO2BKbpIAT4c8wsu6JLCvIRRFOiZYOpyFTG7ZaarvLtO4uELYdPt5XwufZSfJqC5UheH13hWwMP6a4MbAY/muaeBzf7HMGvCU7Wxg9G98glJiMizVOxudjD3zxTzvmJMN8ZXOWfvD/Pi60F/MqxBs498wJTD8bpu3yBt1/7IY0t+5ienKC4tJwfero4VuNHTWMd84W2Iv7ZxQVemwjzlY5O6hqauXXjCndv9zExdp/Dvaeprkm2BEpa18ZlEr2GdopjO5iGgeb1MrlisHk1SYllSCTwzdsPWdJt/sbJKoq0+O86Uunlx6NwfSbEk03ZgzIpJY5to3q3jk84FOLG1Us8GBvBX1BIf8kJlJIa/l89ZWmD59hA41CFj8/vK+B7w+vACncXDcKW5MXWIn7hUAXBjcD+aG0BXVUBvn9niVcHF7k+FeIXuss5kEIZXQAlpbkfV8uRmLbMaukVDaCllFycivBf766yZjg82xzk8+2FO7YEA3i6Kci/u7aE58BxStdWuXT+HeoamxkfuU8gGOT0U89S35hby4AjJf9X3zKzIZvfOlFGZfCjHT7EPmNjqyOECljxz/e0+2cnWkV5sG0bjyL4nVOV/L23pvnX19f4B6eKKfElnwfTMPHtoZ0VuEF0Nqut6HLgBo3p5hyFAM2j0H3Uz/tvrjM0oHPw8PYmZ2x7611/b0BHUaCubfeyz9lKt8G9FpcjNmWBmGswRbJAiGiVl+D+sklFrcSTo7p+njx58mTiIw+gX3/9db7xjW/wr/7Vv8Lv97OwsMDv/M7v8Hf/7t9NElsC1wboG9/4Bp/+9KdxHIe33nqL73znO6yurvJX/+pf/Qj24PGRKhjOFEA/zuzzblWJm6YRF0A/GDWREhpasr+g05VvxyKlk1bZ1C332vnLdXBwENu2U1636XDtqZwk0SXN48GyYix9cl3fI6qOZmsJUNWkKjkAvjXwkNdGVthf7udr3RXUF20NbjVF8GcOlPP/uzbLBw/WeKLRDapUTUPVNJYjJtfnIjzVXEDAq276ikLU6oe43+0lQoiM2U1FCJ5qCnK02se3B9f48fA642sT/NWjRdQ3NlNdW8fAzT6GBm7h9fooPXSO8IDJsZr0War6Yo2zdX7emwzzdEOAqkCQ46eform1nRvXLnLhvdepa2imu+dEWjVlRd1dwTvLsvi/byzy7vh62mX+4uEKGoPJ2bH6ApXKgFvGnUsAvSkeFrX8Cod56yc/QI9E6Og+wrdXalm3BP/vwyX40tyfrggY2JbYVO1+oSnI5LrFlVmdfcUefml/ER11xXg88c9Lr6rwC93lnGsq5D/2zfOf+ubTbmtvwwp/7WRlysmQWExb8i/em2RmzeTvP9tAZUH651e0CuWH99f5/r01Wks8/ObxMppSlGxvl0OVPkp9Cu9NGfz608/xxo++z8ToMPs7D9F5+Ahajk4OAK8MrdE/r/PLncWuxdxHiObR4vrHhRAbFTLS7X+O7EyQTwjhBqyWRUXQy28fLeSfXFrhf7+xxn93vCjJX95yJJgGePfueGw7gM5waUZbkyprPFTVagzf1Wlo8VBYlLp9KhEpJZYp0SMOd25GWJy1qW/X8Hh359mTzr8+luHFCH94bZ6xJZ1nWov5xUPlbqVLine/ELBqOXxj2ODCfIjfUPx8sXMXHA/y5Mnzc89HGkCHw2H+6I/+iE996lObpbsVFRUcO3aMP/iDP+Cf//N/nvSZN998k7/zd/7O5vJPPfUUf/tv/23eeustfuM3fiNrAPBJJZ2Xs2VZKbOdUsrHGkDn6v2cDcdxxYDc8l7JxKhBeZVKQWH2UtBs2edsZBMny0TUoqq6upry8txe0EIIJIK1FPZUQgg8Xm/KHu1MKKpKWo+oHMjm8Zwqu3F+YpXXRlZ4rqWYX+kqTzkQO14bZF+Jj+/eXeRkXQHeGHXUDybXsSS82FGOP+DFcRwi4fDm34UKPKYWtlx6zQGKfCp//nAJB8q9/NHNZb45IPmV7hI0zcPh3hPs6ziAEIJv3LcIahYHytNXJAgFPt1SwOWZCD8YXucvdrtWPJXVdTzz4ue5P3ibwYEbzE5PcqD7CPvak22FdlMlHWBixeS98XXONQbprStAEa4/l2O7QUqpX6U+sGU9Fbc/QtBb4+f10TXWTZsCT+aNcycBt/7/g3fewNANnv7UZ/nPw4K5iMFvHy+l3J96PVG7KyEEmsdNKjobNjdfO1jMU/UWrcUaqqYmBc+x1BZ5+Z0n6hhciLCa4p58sGLw7duL/Be/4GtHKlOswUVKyR9dn2NwIYJPFfzeB9P8vWcb0pY7K6rKtZkI37+3xuk6P3/ucOa+4u2gKoInG4N8/94aq7KY517+PI7j5FSuHcvFqTA/GV7nycYATzc9/l7xWBRF4PEk30+qClIKhJRJmeXtEM1CK4pCS5HGr3cX8m9vrvFHA+v8aldB3PPNkRLHMFD3MICOlmZnqiaL1Q9xJ11T65HEzrV3HfHz9o/XuH/HoLPHj9eXPfNr6A6j9wyGBnQcB+raNGpbd2fMJYTIqD2ybth869ZD3hxeodiv8mRzEe+MrnB5co2vHq7gyTInzlbGkZK3Huj86b0wui35THOAlztKd2Vb8+TJk+cjjTavX7/O+vo6Bw7Ee0Lu37+f8+fPMzY2RnNzc9zfzp49G9cnqygKPT09jI6OEolEKCxMrQj6SSeTDZNMUUJmWdauiodlYrvez9mITgrMz1joEcnBw7mVQ1vWzpuwPd5Hy+BNTk6ysrKSsfUgEUVRWDVsnDTnSdM0HGd75ZvRgdROzr2ipraXikUo8d689xcj/Keb83RW+PlqZ+rgGdzB0Vc6y/mXH07x+sgKn2kvBdxBzjtjqxyo8NNQ7J5nJaE/+nGVceeS/UjkTH2ARVPle3ceUl/k4ekmt8e7oLAI05HcmJultzp1+XYUIQSlAY3nmoL8eDTEcysmLRvZR1VV2d95mIamVm5ev8jtG1eYGL1PT+9pyiurgeSe7d3g24OrBDyCX9hfuKk6rigKCIG0FFdEKE0bBMDRSh+vjazRNxPiXGP6YE06Do5to3nda/baxQ9YXJjn9FPP8uach9sLIb7WXUxHuRfLSH1Nqwkln6pHwEYQrSmCfRuidN4c+rGFEByoTB0gnqgHW/HySv8MjcVenm5NLZL22v1l3h1d5YsHy9hf4edfnZ/i65dn+X+eTt27Pb5i8Ic3l2kt8fC17t0LnqM80Rjg1ftrvDsR4isHt+/PPbps8p/6l+ko8/DVzuJdv9a2gxDgTdGfD+6zSdOk26D7iHi93s3vOFXjZWLNzysjEZqKND7VFF9NYukGSsHelnFn84ROTBwIBaSduEz8c6KkTKOhxcP4sEHzPi+g4PWm90KfnzW5cTnM2opDRZVK00EPWmD39jmdCKSUkvPja/yXG/OsGQ4vtZfwZ7rKCXgUXu4o4Q+vzfPvr8zxTonGnz8YpKlIY2TF4o/urDO8YtNZqvErbQU0lHjw5diznydPnjzZ+EgD6OHhYQAqK+Nn86uqqgC4d+9eUgB9+PDhpPUYhkFDQ8PPbPAMqcu3o1iWleRj+VjLt3c5OxidLJgYMfD5BVW12S9TN3O9swBaUdmRZVUsAwMD+Hw+Wltbc/5M2Aap7L63s6qpWOb2z3+u1Rser8C2YH7V5P+4MktZQOMv91ZnLWvdX+7nSHWQH95b4snGIop8Krfnw8yHLX7xcHzW3lWTjQbQ8UH7XqCoIif/5FT8ck8VwwvrfGNghdoCjf0b2eY7CzoRS2Ys3978fgWebwxyfjLMK/fX+GtHS+MGu8GCQk4/8TzTk+P0X7/E+bd/TGNzG12HjxMsfrSM4MryErZlUVbhPodvz+sMLBh85eCWZRdsPYNMI3WAYpoGc7NT1NU301igUu5XuTK9njGAvjG7ztSa20cZmRwkMnIPf1MXF0JlvD4a4pmmIE9Gbc02SnRjUbXUkwexQbT7WYGiPXqa/i+dbuL+3Ap/eG2O2iIP+yvij33/bIg/7lvgWF0BX+5y+7V/paeCP76xwCsDi3y5K/46X9Ft/vUH0wQ9Cn+5t3RP+jNLfCpHq318MBnmCx1FKRXap9ZM7iwYpLrDXhtZp8ir8OtHyz4yu68oXq8v4zNRKOKRKnCiJH7Hl9sCTKzb/PHdEPVBlUMVW+9by3HwWiakyIrvFpqmYRhGyonRaNl5LIoQOCTeK8nrPXjIz9SEydBAhJ4TQXRdIoTcsIBy22csU3LrepjxYROfX3DkZICKGjVllcZOcSdmk6+tBysGf3RtjrsLEdrLffzNo1U0l25l+xtLfPydZ+o5f3+J/3J7kf/h4grdZR76H5oUeQX/7aECztR4scz02h558uTJsxM+0gB6dXUVIEl5Ofrv5eXlnNZz8+ZNvvKVr6T9+2uvvcZrr70GwD/9p/80KWB/XGiatuPvDoVCaYNiTdMIxnjQRv2GHxeG7jyygFgi0vGyMLfCoaMlVFaWZV1e1/WUtlHZEAJ8fuWRsgerq6uMjY1x8uRJqqvdrKCmaRlLuUOGjd/j25OXum3bhEOhbX1GCDdIy/U46JbNPz0/gOlI/sFzB2goyS2I+4sn/fytV2/z04kwf+lEE+f7HlLi13jpUBOemLLuxH1wha32JoBWFNB8CoKdXQOapvHXn2rmH/10lK/3LfM/vtRCdaGX/rtTBD0Kp9uq4vYtFRJJQdjhz3QK/u8bc4zqGscbijbKMd0WCduSFBeX0NZ+kJt9lxjov8bs9ANOnH2Cg92Hd3QNLy8t8s5rP8S2bT73C1+lvLKKVy6MUFXg4YuH61Jut2nYcWrsUkpG7t/l6sX3iETCPPnsy7Ts28/ZZsmPh+bxBos3RbtiOT/6kH9z1e03Ljfm6V3tY85bzY31RgiFOFpbwK+dadwM2hxHYupbs3WKAp4UPs+xWKb7bPL6FYLBgke+3zRN4++83Ml//91b/JsLs/yLL3dTVeg+dyaXI/z+xRGaywL89586SGCjXPxXTpUxGxF8Z2Ceg/XlPLHPfS6YtsO//OFdVnWb/+HlDpqK9m6A/5lOD1ffGufOqsLTrSWbvw+bNt/qn+dHg4ukm58q9Cr87WebaSrdO7XpXPD6fNnfa7bDNot20qKqKqWlW++ev3WulL/zxgT/4W6Y/+3lys02FE2Bv8CAQgABAABJREFUsuJClILt285th9gxgKIoqKqKqqpompYU8Nu2RI9s3aSaJvCmuFcqKiSdhxRu9S3Tc6yA8sqtd6iUkuGhNa5fWsQ0HLp6ijnUW4aqCsKGjWruXgDt8Slx+iNh0+ZPrk7yys0Zgl6Fv/ZUKy8eqExbnfHFgJ9nW4r5jzcf8vrICp9tL+Frh8o220dMU+IL+KmsTP1OfpSxWZ48eX4++UgD6OisaZJdyqZKb/bNe//992lqauKZZ55Ju8xLL73ESy+9tPnv+fn0IjF7SWVl5Y6/OxQKpc1CCyEIBoObx03X9ZxER3YDKSWGvvuBzfh9N3Aor7Z5+PBh1uXD4fTHJxMeryAUfrSsytWrV5FS0tLSsrmt5eXlabfbsB1CppNWEGo3CIdC2yrjVjUNPU1mMREpJb9/aZb7CyF+60wNJYrO0lIkp88WAE81FvHjwTm6SlWuPFjmswdKWV1eyrgPckMBetfZ6JsVj3ANlJaWYoRW+Y0jxfzuhwv8i7fH+Bunyrk0sUJPlY/11ZWc1uM4khPVgh8HVf7k5ixtRU5cVl9KiXTcYLptfzdVNQ30913g/bffYKD/Br0nz1Banrunl2EYvPXjH4AQeH1+fvL971La+yJjSzp/qack7XY7ttzUPFhdWebm9QsszM1QUlaBIx3uDw1QVlFNZzH8wJG8MzjJmYb46qDRZZ1/+8EUbSUe/psOlYtv3CBQUsZLz7/An9947gc0wdpK/CRqbACteUVO582RkoguMAzzkctsy8vLMddX+Gunqvmf35rgf/rhAH/3mQZsKfnHbz0AJL95qorw6jLhmM/9Slcxowur/K9v3SeITlOxlz+8Nk//9Cr/7clqKj0mS0urj7Rtmaj3SmqCKj+6M09PqXTL5Wd0/vTOCku6w5ONAT7TVphSpM2jCjxEcr7H9wJV0/Dl8k7TI6CHsy+XA6WlZSwtLcb97s92+Pndq6t86+Y0n2nZmjS0Q6sopelLrHeDqFJ7bL9zOqSU6JGt56XPl95dor7ZYXBAcOmDWU6cc8cRq8s2t/siLC/alFWoHDlZRHGpgm4sI6VkKWRh2hLHZldaxTw+sdl6dGVynf90Y57FsM3TLUX80qEKinwqS4uL6VewtgKOzZ9t0/ilVrdSwlxfYWnjz44DoYgPoaUeIzzK2CwX6uuzuyjkyZPnk8VH2hBSWloKQCQS/2KO/jubGNPs7CzvvPMOv/3bv70n2/dxIZ2AWOzfY3ukc/GH3i32os3asSVTEzZVNRr+QPZL1HF2ZtelqtvveU3+boc7d+7Q0NBAcXH2/kLbkYRMGacguxdsV0xvO8v/4O4SFybW+Ep3OcfqC9E8wi2ZzTE4+UJHKZoi+DeXZwB4Lk0vaWy20C3j3v3y0cT+2UehukDj146WMrVm8b9cWCBsSXpzKN+OoigCj6rw5f1FTK/bfDAZHwi4SsMCzeuK7RSXlvLUCy9z8txThNbXeOPHP+D6pQ8xjPS9yVGk43Dp/Nusr61y5qnnOPvM85iGztClt2kuEhyvTb/drtq1xcDNq7z90++zsrRIT+9pnnru09TVtzA7/QDbsmgqUinxqVyZiVfyXtYt/o8rMxR6BH+hO8iN999EURSeePZ5igNegh6FoCd1VUi0zD5d6XYqFCEQ4tGqTBKpL/byV07VML5s8AdXZvl3F2eZXTP5zdO1VKVQ3Paogt86U0uBV+Ffvz/NK3cWeWtkhc8dKOVsU9Gmh/teITbU40eWTa5OR/g3Vxb5et8ShV6Fv3m6nK91l1DmVzePfexPovL040ZRlNwqqiRg7m0Q21XuoafCw/dGIqyZW+8cy3GQezxpHc0253IdCyE2rydFTd/XDG4FVttBH4vzNjOTFnduRvjw7XVC6w6Hjvl54oUCiku3nsWOBEe496DHl1n4KxeiDgKzayb/6/vT/O8XZijwqPy9Zxr41ePVFGWpMnE3KCbbnmJfN+Qb8uTJk2fX+Egz0G1tbQAsLCzQ0tKy+fvoTGCmftKVlRX++I//mN/6rd/6ufN/TreMpmlYlvXYvJ8h7r21ayzMujowDa25WazsRDxMiPiesJWVFW7cuEFXV1fOKtoAY2NjhEIhzp07t/m7qAhWIlJK1g1X9E3Z434sVVNzrkJI5f18bWqdd0aTM2KOlPRNhzjTWMjnDpRufZ8qNhRek0cprs/vllJ7iV/jU/tK+P7QEj3VwbQWP6qqxrUtKAo8gkNX8vo9mS2rdkJXhY+vHCziT++s4lMFXRXbbys4Uu2jrdTD94fWOFnrTxK+EUIg1C3l7abWNmrqG7ndd5X7Q3d5MD5Kz7GTNLbsSzvYvnn9CjNTk/SeOktldQ0AnrZTFA5+wCnjDoLqtNs3PTnB9UsXCIfWN/uwfRttN3UNzYwO32V2ZpK6hmaO1QR5d2KNiOXg1xRMW/L7V2ZZNx3++vEyBq+8y/raKk+98DLBguwaFkIFIbffr65kKaHfCUdrC/ilQ+V8o9+tNPnzvZV0VqVvZSjxa/z2mTr+ydsP+PbtRY7WBvlKt/us2Q0P92ycqQ/w3cFVvt63hF8T/FJnEU83BrNqF3yUCCHw+ny5TX4YYXZVzTINX+0I8A8/XOEHIxF+eb/bOmU54DF1SNQicSQCPpJjrCgC25ZoWQJcRRU0tXoYu29w47I7adfQ4mF/l59goZI0yawnXKOu+KL7zs6UjZZS8uP7y9xfjp/kUIQ799E/G0ZR4M/2VPBiW0nux8zJrvehzE0T/OGfIL/2G4jGfbmtN0+ePHky8JEG0D09PRQVFTE4OMjx48c3fz84OEh7e3vaspf19XX+8A//kF/91V+N6/1Npdr9s0AuAXE0yH6c4mGwN/680w8k/gCUlOW27p3ss+bZymAZhsFPfvITlpeXuXv3Lt3d3Rw/fjxJmC0VAwMDFBQU0NTUtPk7VVVT9mObjsTeGGDsRBxsOyiKiqKInM5PYvZ5Rbf4d5dm8KlKytn/Uw2F/Orxqpwzeq49SVQEyg2kP7WvhPEVgy90lqbfB1VFiK0qB7GLh2wnitu58lxzkLAl8WtiR6JQQgj+zIEi/pcLD3l9NMRn27MHll6vl6Mnz9Dc1sH1ix9w6f13Gbk3xNGTpykuKY1bdmz4HkMDt2jbf5B9Ha4Dwprh8PpKCUcqDsDkXe7dqaSjszvuc+tra/RducD0gwmKiks498ynqKisiVumvLIar9fH1IMxN4CuDvDm2Co350KcqC3gP/XPc39J59cOl1PkrDA9OcGho8c3g/hsKEIgtB0ozO9Rxcdn9peyZjh4VcHz+0qyLt9a5uOvnqrh/fFVfvV4ddwEjqIoj+Thno2gR+HzHUXMrFt8oaOQkmyZvY+YaPCc07PScSCDSvVu0lio8WSdl9fGI7zQ6KMyoG74QZubjhimLYlYDobt4NMU16f4MaMo7rMzl+ecx6PQdcTP2D2DtoNeSsq0jUnR5M8aKfROhCLQvBLbEklCf1F+OrLCf727SE2BJy5LHL0FTjYU8EuHKigLbHNYmun9b+j43/4Bvnd/CB4fzM1APoDOkyfPLvCRBtCqqvKLv/iLfP/73+cXfuEX8Hq9LC4ucunSJf76X//rAHz9619neHiYf/SP/hGaphGJRPgX/+JfcPbsWfr7+zfXtbKywoMHD/jVX/3Vj2p39oxcAmjHcbBt+7GWbztOaq/JR2F9VbK6DC0dAtu2Eyf0k3DturY36NRigifHcXjzzTdZWVnhxRdfZGJigv7+foaHhzlz5gytra1pA8Xl5WUmJyc5fvx43CBPVVU8Hg+qqsadj6jmihB7H0C726HhONmz0Inez68MLGLYkn/wXD11RbtX3REbSKuayl87WYvHl9neSVG2jmH084/qOa569i54Bnc7P5dD0JuJtlIvR6t9vDayzlONgexljBuUlVfw7Kc+y8i9QfqvX+X1H36P/Z3dHDx0BE3TeDg/x9UL71NZXUvP8VObn/vx8BoRS/LC2eNMXI9w49plikpKqKlrwLFtBgducae/DxAc6j1Ox8FuHFskKaMrikJtfRMPJkawbZvWEh/FXleNezli8/6DNT7XXkJvjZdrl+6iahr79h9gO+ykFHuv7jchBF89nHvfOcCx+gKO1SfrH7hB/t5OgL7Uune6C7uFogg0jwdVza1cGYBIGFJqiO8Nf6YtyIczBv/1fpi/fKgQWwLSwdB1dDTMmPvCsGVKq8m9Riig5vidqgoVVRoVVVFdmtS2UpYjsdNMykZ92B11w0ksZnDQPxfiTwcecqwmyF8+tjVxpGqPXgJOmjGPduc6ge/9Z9SleYyj57C+/OcoipnozpMnT55H4SMNoAE+97nPoWkav//7v09zczP37t3jt37rtzhx4gTgBinLy8vYto2iKPyzf/bP6O/vjwueo/yDf/APHvfmPxZyDYp1XX9s3s+wN9Vy0w8kQoHq+vQe11GklDn1e8aieeJn1S9fvszExARPPPEELS0ttLS0bPqQv/HGGzQ0NHD27FlKSpKzS3fu3HF9YxN8zKPl0F6vl3A4vLmt0UGVomQXgdkNVE3LWsatJii4zqwZvDm8wjOtxbsaPMcSDYRT2aokbV/CJISiih0L1wjF/d6P0sd2O3xpfxE35uZ59f46v9yVu3+vUBT27T9IfVMzN69d4e6tm0yMDtN5+Ci3+q7iDwQ5/dQzm+d9IWzx9liIsw0BGoq91Jx9krXXfsjF996m5/hp7t6+ydrKMvWNzfQcP0WwwA3ChJBYpkgSQqhraGZsZIi5mUnqm1rprQ1yfnyVq9MhemuCfLatGNNcY2J0mKbWNjx7aP/jbqd4LBNWj8onYRv3EkVR0DyelHoMQgg0RaAp4FEEEUtiRLP1lgnW9t4Dj0q5X+FTTX5+MBrh5WaLliKNJd3BsXQIxk92SSkxbInvUQPFbbKdSULXskpuvtM93tQaA0YOFRKKIvB45WY7+sy6yf95bY76Ii9/8UhVfNXFoybmJWDHTzqJpQWC3//PeAauYVfVs/pr/x32voN4/R+tinyePHl+tvjIA2iAl19+mZdffjnl337nd34n7t//8B/+w8exSR8bokFkrss+TtKVamVjfn6O9z94h32t7XR1Hd4MOPWIZG4aKqvB4xGb4mjpBK5M00ybfb569RIzs9McP3aK6uqajRn1+Mzj0NAQN27coLOzk87Ozs3fV1dX86UvfYmBgQEuX77Mt771rZTl3KZp0tLSEtdG4IoBbcyub2SiTdPEdOTmeXxcA2W3Fzt9GbcQIkk/4E/7H6Ipgi93ZrcOexyk6hVXPdsfL6vazn2ePypqCjSebAzyzniIi1PJysIeVfBnu4o5Up16YOjzBzhx9kla2jq4dulDrnx4Hk3TePZTL+HzuZ9xpORPB1YRgs2suebxcPbp53nzx9/nyofvUVBYyLlnX6C2vjFu/W7GSSadi4qqWjweL1OTY9T+/9k77/CoqvSPf89tU9MTkgAh9Cq9dwFFQYqK2EBF18K61rWs7rrrruuuZVf3Z1nbig3F3hBERAVBQRGkCUjvEAIppEy/9/39cWcmmUxPJskEzud58ih3bjlz25zvOe/7fVsXoH+uGSsPVqJNiow5fXIgCC4c3LcXqqqiQ5duCThTkWkpwtT37mjKQdBkwBeqXduHQfALZv2vbiqERhpcKnQB5UiM63a8TG5vxMqjTry3y4a7+6dAA/QXE5mDrCCcHi3IyyDZEET9t0KKkN7iijH6xzcbXWHz4Ln1xyEy4LcDWsFY6xzoJfoa+E7WPKgdeSAePQDry48BAOwTZ8A5/FwgTkNNDofDiQX+ZklymloUx0p9w7dtNhtWrvoGbrcbmzZvwL79ezB40DDk5OTj100ExoC2HWp+VFXVE1JAa5oGjyf07OquXTuwbfsvkCQJy75agk6dOmPIkMFQhBqDnxMnTuD7779HXl4ehg0bFrQPQRDQs2dPtG/fHtu3bw85k8sYCxDeAILMuBRFgcfjQe2SmY1tIBbYnvBh3HXNefaUOrDuaDWmd89AmjE5Xg2hBgHiCeVmjCXUabupmdbZCousz7jVZWepC69tOYW7hohokxI+1yG7VS7Gnz8FB/bsQkpaOlJr1bZdurcam084cXG3FGQYa+5Li9WKkWefg5MnitGhU5egMH8fvvOrumva5wvjPnb0IFRVRed0M2b1ysJZOWYYJQa3R8O+XTuQkZWN9IzYDfvqS0sR0IDe1qZMw0kGJEmCIku6UPYK5mgGUorXuZmc9sZxsowBsyRgansT3t5lw9ZSN87KUgAQoLqD4p/d3tDnZDZsE70eFZIcuo1utcbDIyYEYN6mEzhhc+POIXnINgeek4TYEqgBBelhWvIuSDGgcu4DoPT4Uis4HA4nHpKjl8wJS7J2puJMOwag5yuvXKmL54kTL4DNVo11637E1998icy09rDIg9B7gAUmc20BrYYM43a5QoerHy8uwk/rfkB+fhuMHjUW27Zvwdatv+DQoYMYNGgQunXrBrvdjq+++gomkwnjx4+P2ME2m83+dIJYqCug9ZF4GW67x/vvpu3QhwvjlmQpoK1EhPd+KUGqQcR5XdKbrH2xEGoQQJ8tQVAObt11BLHlimcAMMkCpnROCflZuUPF4z+W4KUN5bhnWBasSvj7SvCGdddm43EHFu+pwtDWRoxrZw7aJj0zK2RdacYAWVFAGkHVVDCm6bqhlsjPa9MOhw7swckTRWhT0B6j2+kh6MRcOHm8CFWVFRg4bKRe01ZgUD2eRimJB+j59i0FSZaT9p3fYEjTFZogBdQUMioS0uMcsGOMQYQGj7P5alMDwLi2Bnx12IH3dtvRM1PWw5NdwQIa0N2rzY1cvrAhMMYQKZsilvDt2nzwSwm2nrBj1lnZ6JIZ7E6fkJ/BWhU4pJ2bIe3fCduUWVw8czicRocL6CSnsWagiQgbNmxAbm4u2rRpE/f24YxEIh3vx7WrUVJ6EmNGj0NGegYy0jOQOzkPa1ZvwcHDW3BKPIJWJf2RltndLzJDhXF7PJ6QncyqqkqsWrUcKSkpGDVyDMwWA4YMGYwuXTpjzZo1WL16NXbu3KnnI7vdOO+882BMcF5USHEsSP7QTCYE16P1aASbW0NqjEZRRISiKjfcMYbQO50qiDTkWfRZHkFgQXmnG4/ZsKvEgav7ZQeE2SUDgigCIQYBRCl8KHdjG4UlA+lGETf2S8f//VSKlzeV4daBmTHPcB2udOONLafQPk3G5T3SIAgsZgErSTIkr0CQUVOn3uVQ4XG7oWkasnPyIMkyio4cRH7rAkDWZ5zcbhV7d++ErCho06691yxKhCbJUD0eeDzuhAppQRQaveZ6IhFFMSjv/7TB6QI83sRYQQAEGYIiQRGFsGHrkQa/DC4HPE1oHBYKSWCY0cmEF36pxpoiF0bmG8KGcbs8BHNslRmbjUjnO9bfGwD4/mAlvth9CuM7pmJcp1R4XHXMBsUEhG8DgG9gVVVhWvoh1KxcuAaNbvh+ORwOJwpcQCc5jSWgi4uLsXHjRkiShOnTp4c0yQoHaRT3DPT27Vuxf/9e9OnTHwUFNTW/T5WKEN190ad7BxSXr8X69Wuxd+9uDBk8DNnZei3a2gI6nHGY2+3Gtyu/gaZpOHvsBFisRr+AysjIwKRJk7B3716sXbsWdrsdEyZMiKvecyyEq//sVAmyosDpcECs05lXNcJTa45hx0k7JnXJwAXd0qFEqFlbVOnCW5tPYmtx/Hl/rcwiLu2Rir5t0gI6L6pGeH9rCfKsMkYXxm5W1VSIohgyNzRU+HBLD9mOl/ZpCq7smYY3fjmFD36twGU9oz/HlS4NL20og0lmuKFfOgyKCFmS4YyhDJAgCpDr5M376ogbzQJcThEOux2iJCE3vwBFRw/Bo6owACB4YLfZcOzwQXTq1gNyrSgIQRAgKAokWYbH7fa66zdcHEmhrISTHFlRoDnsjTYj32yotd7bmgZoTkhMg1J9CrCHMYpkgp7DKkr+/zLGQG43ZK1pjcPCMbiVgqWpDry/y4YeGRIyjaIuousMUqpEcKtUr9J2zY1b1WIK37a7NXy8vRRf7zmF7tlGXN47G4LAvCUMa6V5JGJMS9P8TqbKhu8hnjiK6st/G5s7JYfD4TQQ/qZJYuIxEIuXbdu2QVEUCIKAr7/+GlOnTo2p7jEAxFv6+ciRw9iwcR3atWuPs3r18S+vriTs2kawpgK9+qbhLOFcHDp0AOvWr8XSLz9H505d0a/fAK8Y0usqhzIOIyKsWbMKp06VY9zZ5yAzKz1o9pExhk6dOqGgoACVlZXIykp8iFfd8G1AN2lyqxpEUYRUx/EaAN79pQRbi+3olm3EZzvKsOZQJWb3zUafvMByMy5Vw+Id5ViyqwyyIGBmr0zkWmNzLybScKragS/2VuPZ9WUYctyNy86qqbe56kAFiqrcuHVoXtLm6AmiCDVEvU9BYCBBz8k/HUK268OQ1iYcrfLgq/3VaJ0iY3RBcDi2D49GmLepDJUuDXcMzkKaQYQkShAlCbKmBYT7M6bnpPpCNxkDFCW4vnnt9Q1GEYAEVVVRUFiIIwf3orzsOFLTLXC7VOzfsxtEhA6du0IMIW71MFJdSDvs9ga9/3zCvqUhCAIkSY7qoN+iUD1Bbu0MgCxJkd85pAFul/7n3YpECSDVbzTmifcHKcEwxvCbnlY8/NMpPLO5CvcNTIXB7Q4S0IAexi23wHvSGcVvgoiw9kgV3tlSggqHirM7pOKSXln+es+iBGia17GfJSg6yOe+7XLC+M2n8BR0grvngIbvl8PhcGKAC+gkprFmn6urq7F//3706tULbdq0wdKlS7F69WqMGTMmJvERj/v2qVPl+H71t8jIyMTwYSP9+3e7CL9uJkgS0L1PjUNyu3btkZ/fBlu2bMSvO7bh0OED6N9vEHr27A1BEEIah23ZshGHDh/EwAGD0a6wbcQfZ0VRGkU8A6HDt121zlXdmbuV+yvw1Z5TmNgpDZf3ycb2E3a8ufEE/m9NEQbkW3BFnyxkmWVsLqrGm5tO4qTNg2EFVlx2VlbcJl8Oh4TBrS34+pADn+8sx+aialzUIxMj26Xgk+1l6JJlRL/88MKruRHDCGjAm1JJp3/IdiSmdbHiWJUH7/9agVyLiK6ZoYXuB79WYHeZG9f0TkNhmi5gfQZhsqJAI/KfZ1lgMMkMHo1BI4IsKzHl7/vyeFvlt4YkSTh66ABaty2Ax+PB/j07kZObj5TU1LDu+oBPSMtwOV3By72iSYsiriUpjjrCSYYkywmbhU8KQgwGCIIAJe7ZWK9Jlxc5CQQ0ALS2iLjxLCue2VSFV7dV46azGJhmBuq8k5qrJnRDcKkanBHyn49VuvDmppPYfsKOwnQDbhuWhw4ZgalRtR37EzZ+4M1/NqxeBqHyFKovmxuQW8/hcDiNCRfQSUxj5cFt374dANCjRw+kpKSgf//+2LBhA/Ly8tCtW+SyMnq+Y2zHsdtt+PbbryGKIsaOGe8Pp9Q0wo4tBJcLOGsgg2II/NGTZRkDBgxGh46d8dNPa/DDj99j797daNeufdDss8PhwNZtW9CxY2f07t2rWUVUqNkul6emvbU7TTtP2jF/4wn0amXCzLN0Qd8jx4S/TSjA0l3l+GxHGf70lQ0dMwz49aQD+VYZ94xqjR45wWYssSBJEhRFxIU9zBhekIK3Np3A21tKsPDXMlS7NdwyNC+pO3WRZhIZY2d8v0lgDHN6p+Hfa0swb1M5Jnaw1u2746RdxXeH7Ti3gwWD8/X7yBce70NRFDg1DZqmQZH0/RplBqeq1+iNBVEU/UI7r01bHD18EG63G0VHD8Nus6H3gMEQxOjiVpJkb051jUAyy8yf4qBpBDcRVFWfWa8bYhrOObwl4CsxF0tYfdJDCBC9PiRJgtLA97UiAvbQ42o1eNxQNv8IFqLcFQki3D37g1IbXravX7aCGZ1M+GCPHW0P2DGluwWoM2jaXDWh64tGhGpX6B98jQifbC/Dkp1lUCQBs/tm4+wOqQF1nmsjCHr1hMS4b3sAtxOsqgLGVUvg6tEfamGXBOyYw+FwYqPl9jDOABpjBtrj8WDHjh0oKChASoru7tu3b18UFxfjhx9+QHZ2dsQZ2lhynzVNw67dO7Bp089QVRUTJpwHi8Xq/3zfTkJFOdClF0NKaviOREZ6Bs49ZxL27tuNDRvWY936H0Oul5ubh1EjR0CIkDvc2ITKf1Y1gjvE7EiJzY3//liEbLOMuYNzA0IYJYHhgm4ZGNrWire36LnOM3pm4rwu6f5wuPpQOxc01yrjzhH5WH+0Gu9sKUGfPDM6ZyXWTC3RMMYgiAK0OJ1gzyRMsoCb+mXg/34qxcc7K0Ou06+VAVM71zyLdR2qfTV53U4nJG9H2CiJEGQZ0c48YwwmSYDNrUKSZbicTrQuKMThA/tRUnwc+3bthNFkQn6bgoizz7WRZAUur4g0ykKAP4AgMBjAAO9XcKmav7NfW8S3VERJghjGMDEasihAFACHOwmeF80dMnxbEAQ01K9QZAwiY+Hzc4lgWjgfhg2rw+6Dln0Ix4TpcA6d0ODp0UmFRhyuUvHRHjvapFSgf4fsoHWcKsHQQnpe1S4tbKTHB1tL8cWucgwvsOLSGKOixEQMHGgaYK8GQDCu+AzwuOE4d0bD98vhcDhx0EJe42cmjRG+t3fvXjidTvTq1cu/TBAEjBkzBgsXLsQ333yDadOmwWAIHQIazX27pOQk1v60BqWlJcjLzcfgwcOQmlpjbFR0mHD8CNCmEMjJi/5jyhhDp45d0KN7LzidTrjdwcYxFouhWcUzED1824fTo+GZH4rg0YDbhufBooTusGVbZNw6LL/RaocyxjCojRUDW1ua2cc2dkRRgqYmh3FQstLKIuGhMTkh7z0AMEk17reM6ee0LoIgwGo2QtDcICIYDAYoTESFM/JUn1XRBa5T1QBJgtvlQm5+G4iihF2/bkVx0VF0P6sPJEmKOTdZkiR43G5IDDBFUVuKKMAj6c9YrAI92amvoZgsAgZRgCwA1a7o4e6Niiv4vhFFEYoYXJGgPkSahTasWQbDhtVwnD0FzhETgz5nVadg+uI9mJa8B+Xn1bBNndWgmUzGGOb0sKDIpuKlLafwp4wUtE0P/C11qxpUTUhavwkfTo8WtnTV6oOV+GJXOcZ1SMVV/XKarlEEXTxrGoSTRVB+WgnXoDHQcvKarg0cDocDoGUP0Z/mJHoGmoiwbds2ZGRkIC8v8AfHZDJh3LhxqKqqwqpVq0KKdyKCFmYyxOlyYu1Pa/DF0kWw220YOXIsxo+fGCCeT5US9u0kZGQB7TrF3nkQRQmyrMBiscJoNEFRDP4/o6n5xbPexhDh22qw2dm8n4tx6JQLNw1uhfyU6CZgjd3JYoyFDblLNlqiIVRzIAkMZlkI+VdbsAiCGFbAmA0yFEWBJEmQJAmyyGCI8JyZZdE/O+wrgybLMiRJQl7rNjh+7CgYY2jfqWvc4tZoUGCWY7tHzbIARRJbdPh2bXyGYvEie98bkiAgRRH8/25yCIHu214kSapH/nNowoWBS7t+gfGL9+HqOQCOcdNAJnPQn5aTj+rZt6H6ipvBHDakvPwYTB+/BlYdOoIjFAJjSFVq8rkVkeHWPikwigxP/3AMVc7gH81IOcU+iAjkcYMcdlB1JaiiHNRIvih1Ub2lFUOxt9SB1zacQPdsI67oEzzD3qjYbX7zMOOyjwFJgmPc1KZtA4fD4YDPQCctjTH7fPz4cZSWlmLkyJEhO86tWrXCkCFD8OOPP+K7775Djx49kJWV5V831G93RUUFDhzchx07tsPlcqJbtx7o26d/UJ1hh52w4xeC0QR0OSu+GpCKoncg9bxAAxy1ctnEJCkJUlfceTQKMrdZtKMc645UY2avzCCXbU50BEGAyWyGpqrQNA2qpoI07fQr99NEhBOZkqC7G0OQA8SuSRbg0ijo3WQQBZhkoda/GeyMQZQkMLcbrdsV4sihA8hrUwCzxRyXuBUYQ6rZAJeTYg5lTjMrcGgRwnpbGPEaislC4KCYIDBYDSLsHq3pQ7q1EOZhjCUkfNuH6P2+tWfZhZNFsLz3IrRWbWC7+Dq97nQ4GIO75wC4O/WEccUiGFYvg7x9A9C5JywhzM88BZ3gHHEOIMkwiAxmb1SHQjVRRxlGAbf0ScFjP1fg+Z+O466R+TXXRCM4HU6YVCBs+I/H4xWKdVawVwOWlNhPTj2pdocO3S6ze/DMj0VIN4r47ZC8BqUVxY3T4a8jLu7fCWXbetjHTwdZYy/ByeFwOImCC+gkpTHyn7dt2waDwYBOnTqFXadnz56oqKjAjh07sGvXLqSkpKBDhw7o0KEDrJZ0AAyVVZU4eHA/DhzYh7KyUgB6HvKAAYORmRGcP616CL9uIhAB3fsySHHkQemln2rEqSiKEEUJqncUOpGTp6FqDce6Xd0QbqcnsLO//mgVPt5eiuEFVpzfJb0hzTyjYV5hJgKQ4TO10+B2OQPMpjiR0cO3Q8/o184zrj3QJQo1Oc4+JIHBogTe+4wxGCQGu5v5Z6Dz2xSge6/euqiO46G1Knqoq+x19o7+vRgMigKZgFNO9bRwsfblpdc1UAQA0iio3JUUZlDRJOkh3Q43wUONM0gbRIjwbUmS/LnLiUIRAIf39mB2GyxvPQsSRFTPugUwxOjvYDDCcd4lcPUbDtOyjyCUnoBQ955TPTD9uhHKz98BF86G3P0s/0eyADAwkFf0dkqTcGUXM97YYcO6A6cwJFfRRbGmQgPgloX4a0K7XSCnEyxMilUicHg0uEPMkLtUDc/+WASHR8NdY9sgxdCEEUEeN+DUB85ZRRks770INSMbzhHnxrGT5Bhs53A4pwdcQCcpie7cVFVV4cCBAzjrrLOilo8ZPnw4BgwYgAMHDmDfvn3YsmULNm/ejJSUVMiyjNLSEgBAVlY2BgwYjHYF7WGxhJ5RJdJrPduqgZ79GEzm+H7E6s5kA7pTsMOhQhASVw5EFEUYjUbYbLa4z3009+3Dp5x4eV0xOmQYMKd/TlK7Xbc0fLV+SQ4uecQJT6Tw7UgOwUaJwakyqBpBYAxWJfR+jJIAh4cgyTJkj4xhY8YBQFzhyBZFhOwV87686Wgi2ucqLjJdfFeGCJ9tiejvmNCCRVU9AYNHkZytJUGA1aC/l1XyupdriKksWNyECN9m8OU/J/ZQssjgUAnQNJjffwlC6QlUXXsXtIz4Q4y13Daonn0r0tMzUFleFvS5cc9WGD97C5j3BLS+Q8CmXg6WlqGXWBMJrlq33Jg2Biw/4sQH28vQPz0tIJS+0q1B8DDIgi/qA7ENKtirQbIElhA760DChW4TEV7fcAL7ypy4dWge2qY2noAPQtMAW7X+/24XLAv+C+Z0oOqa38c+OMIEwNiEbeZwOKc9XEAnKYkW0LVLV8WCwWBA165d0bVrVzgcDuzdsw/79++H2+NGv34DUdiuPazW6KFkh/YSSk8A7bswpGfFJxwlSQ5pzuXPC2TB4XX1QRAEGI1GffbKYIDD4Yh7+9q4VQJ5O7SVThVP/1AEoyzglqF5fkHASSyiKIEx92kx49gUhAujVkQhYk48YwwWWUClS4NVEcPm6AuMwSAyOIhBFCV4PB4IYrBTvZ47HXofdfetKArs9uBSRLWpPTioiALMMgJmzE9HRFGC5g2VloTY6qEzxiAxBITghovg0AC4PBRT3m4AIXKfBUHPw0906K8vbF1Z9iHkXb/ANu0qqO27JvQYgNdfoFcfUNcewIrPQd8sAv26GTjvImDEBBgEIcDAT2AMMzub8eTGSqw47MS57QIFn0YEp6o7c/vWF1noyCoGwCILAAiorgZSUhPynYgIHu8gilPVQr5Dv9hVjjWHqnBRz0z0b92E6UcaAbYqAAQQwfzJ65CO7EfVlb+Dltsm9v0YTY0y4MDhcM5cuIBOUhIpBHylqwoLC2G1WqNvUAc97LsbOnWKXCO6LmUlhMP7gVb5QH5BfMdkTA/bDIcsyyBoDQ51Z4z5xTOgd8BlWQ4Ki4xE7RloIkK1W0Ua9A7Jc2uLUO5Qcd/o1sgw8cetsWCMQZJluF18FjoakcK3Y6lPK4sCUg3RRZA+C635c3jrzj7XzZ2OhiiKuiu3J7Tlsj6wFviMmWQBBIJbDfYkiBeRxefdwBgDAxrdAVuUJP/7Klz4diyEE94CAElhMGr6LK9LDc6DD4k7dPg2A6u3qRlVnAItfg/YvjGoNFYKAOawwzl0HFyDx9Zr/9Ewes8vk2Xg3OlA/2Ggj98ELXwb2LIe0g13g0H0h3EDwFlZMnpmSvhsvx0j8xWYI9zzGhEi3aYCI5gkBqi6uRgzmkKup2qE/1tzDOuPVIX8PNcqY3a/HHTJMsETwtfAh1vV8PnOciz8tQxD2lgxpWt6+MY1BvZq+JxLDd99AWXzj7BPuBCeHv1j34dkAEJEsnE4HE5D4D36JCWRAnrPnj1wuVzo2bNnvbYP57wdCdII+3fppmEdu8fX8QR8uc/hOxqSJIAJStyzxXUxGAxBx1EUBarXqCoavhBiHza35i/19fbmk9hx0oEbBrZCx8zkrrN8OuAreRTy2SEA5AE8qm7QAw2QDYCknHGpcYIYOg9ZYLELm1hmEEWBQREFuICg0lVyiNzpWJC9YjzcZ6EwyyIg+2ba9Nrsvhm3eN6zFkWAVRFREuv6sgCVCHZ34wpoQRD84e2RwrcbfhwGs8BglAhOleD0RDh/RIAaOAjpq/0s12MikDQNWPMN6IuPALcbGDAMMASKRyKCw5wG58h48mJjR2AsKFqCZecC1/8eWPc96L15oA9egzLjOjjr/HTM7GzG39ZW4PMDDlzS2VzvNtg9GmRB0J8/hx0kK2AhBsPe2HgCK/dX4Oz2qUG5ygTgx0OVeGj5YYwosGJmmBrOW47b8NamEyiu9mBIWyuuber0I7vdfw9JOzbDuOwjuM4aDOfYC2LfBxOAMIMMHA6H0xC4gE5SEmUi5itdlZmZidzc3HrtQw1TUzYSxcf0weNuvWMLKawNYyxqrqQo6kIglrzIcPjK9IQ6vsFgiBouCgSGb7tVDQ5v7vOS7cVYvq8Ck7qkY3i7xndN5fjuGykwesDl0EWzFkJ0Oe3657JB/ztDhLQU1jws/oGuaBglAS5Vg6wo/n2LjMESJnc6GqIo1iuKBvBGtYjML+BUjWI2GjOIAmRRgFEW/TPrkTDJAgySAI9GsDeB87UoiQBpTVJbWGAMJolBEjRUOcOcO48bDAATBIiCHrrvC9+OV+TTwb2gj94AjhwAuvQEu3A2WKv84HYBqHRoCG9t3TBMYaIzGGPA4FFAeSnoy49hyGsL5/DAmtOFKRKG5ylYdsiB8W0NyDTWP5y42k1IVbxh3rYqkDU14Fn6Zu8pfLK9FJO7puOmwaHrI1/dLwdvbjqBxTvKsLHIhhk9MzG2QyoExlBq8+DtLSex/mg1cq0y7hqZj16t6i/664XLBbj1wXGh+Cgs778ENa8AtovmeL84AwwGwOlExOttMgNJXm+bw+G0TLiATlISNQN9+PBhlJWVYdSoUfXqsGoaxV0mSFUJB/cSUtKAzJy4Dxk299kHY4DgnQnwCd14z5cs63VuwyGKYkyh3L5ZNY0I1S69o/zrCTteXnMMfXLNmNErM652ceJHFgVoRFA18oYLu/V71u0CXM7IGxPpItrt1GejFUNird2TDMYYhLDh24nPz5dFfVbbpyEZ00sqNYXQi4borZdd7Yo8AMcYCwg1tygiVEJIp2LAl3utn2NJYBAF5o9KaSxEUYIYapAoAYR7TyoAPEwN+m4MAFM9EGqlxtSmbgQzVVcC5aXBByAC/fgt8OO3QEoa2Ky5QN8hEX/HzDKDSwU8GgLCqBuKwBiiBkycMxUoOgxhyftQsvLh6to74OOLOprw03EXPt5rx296hh8EKrKp/pzogDYAaG0RAQGwe/TvCtUDOOy6UASw46Qd//2xCL1zzfjNwPAD5gZJwLUDWmFYQQrmbzyB+ZtOYtWBSvTJM2PprnJoBFzcMxPndU6P3ym8oagewGEDADB7te6oLsm6o7riNQIzWwBJ1gc+7bagaAcA3gij+GuoczgcTixwAZ2kJEJAExE2btwIq9UasXRVJOoz+3z0oK5duvWOf0YrWu4zUCOeAX0G2Gw2w+PxwO12xzRzL4piRPHsI5ZQbp+Atrn02ecvdpVj0Y4y5KcacOPgVhENmTgNwyAKMMp6OKPTo6HKpXpD6iV43C5/2ZOYINJFtOoCTKmn7Wy0z6W6Lv7az42AURbg9rphW7zXK1nQZ8gprBjW12FBgt+qCKhwUpB4FAUGax2lpYgM9kYW0L7yXSEjLRpAtIHGVEF/7gLQCIAWciBKEmp+E8jjAVYtBS1bqP9ghEIQgFHngk28MGy+b20Mom5eB+gh+h4N8BDBrTZMUBtiiM5gjAGX/QZ08jhM770Ez01/hJZTM1OebRJxToERSw86MLHAg4KUwO7XSbuKt3fZsOFE+EHbtlYRV3Uzo0u6DFkkPeXC6QAZjCh1qHjk28PIMku4d3SbqM+ZwBi6ZBlx98h8/Hi4Cu9uKcHCX8vQN8+MK/tkI8fSDOLT77hNgKrC/O6LEE6VoOq6e0Bp3sFog7FGGAsCYLHq73pnrXQuQQCMTTxrzuFwzii4gE5CiOLLzQvH0aNHceLECYwYMSKsaVC0dsSb/+xyEY4cIGTmAKnpsXWUGRMgigIEQQzbwa9N3a/iE92+/EiXyxUken15gr6/WIR9bVfuUNfDV//Z6dHw87EqvLnpJI5XuTGojQU3j+4MOEMbuAR9H694cUYJC+V4a+KKej3i2qLG4A2r9fhmoStO1e8AGumdsUbKm9NnPRmqXIl5xuM+fgT37cZCEQWIggZFZI0yy91QLLKAijBlnHy1r+siMIYURQwIAfctq/tuUUSh0cO4RcZglCU4HIkT0IIgRB1oVES9nrNa+9y5w0d9+MK3ac+voI/nA8ePAr0GgA0cETryo1V+yHDtWPCVhgIYVIlQ6aqfoRsDQ6wR10wxAHNuAz31N1jeehZVN/0RZKpxrb6gvRGrjjrx/h47ft9PT+3xaIQvDzqwcJ8+4HdRRxPaWoMPWOnS8Ok+Bx5ZX4lR+Qou62JBW6sIxgCnw4F/flsMu4fwtwltkRpjjWZFFGCURAwrSEHfPAuOVbqaz6+DoOd9eeudG5e+D3nPNtgunAO1XWd9HckQlPsOQF8myfpstKYCJstpOwjK4XCSAy6gk5BEzT5v2LABFosFXbp0qdc+6mMedngfQdOAwk7RRLDoNQoTI4Zr14Wx8G6xgG5W5HPq1TTNL5zrm9vpm60ONQvNGMPJag/+t/44fjxchVYWGb8fkY+zcs3ItCgojRI9DNR0ugXmq8nKyzCFQxJYxNJJJlmv+yu4XRChod7FizwuQJUAMfEzMAaJ6bV4FQ1VrsSXqwuHb7An1EAaYywm9+2GYJHFpg8FjRFfKHfQTCoAsyyEfXf4Zpt9taatihDy3myKMG5ZZJAk/V2aKP8Mg8EQ06yrQRJqSoVpWuBMYN12Vp+C9vn7wM+rgYxssGtvB+vZLyHtjYTIGKwyUOGK/xoYRMTnvp6RBeGaW4AXH4f53RdRfdXt/lFfiyzggvZGvLfbjq2lbogMmP9rNY7ZNPTPkXFFFzOyTeHF75BcAxbus2PZIQc2nHDj8q5mTG5vwn/XFmNPqQP3j22DwvT46h2bFQEeB8EkC81rdmm36eHbAJT138G45is4hp8D18BR+uei5A9VD4koAZZUPZxb5F1bDofTuPC3TBKSiE51UVERiouLMWzYsHrNPgPxh2/bbYTjR4Dc1oDJErnDIctKvdolxtgJD2UOVl/ChZR/vrMMr284AY9GuLBHBiZ1SY+7znPtTrdFFlHhbJw8xpaOyCKLZ0CfTZHIDY/TAUmSoDakpJXDDpilhOZDC7UMlHQRTahyha672lB87vCCN7Ij0iCVVYlc+zkRJKt49mHwhnK7aoVyK6IQdWbeV2uaMUR89hs7jNvnDi1JElwJKOUmy3LM72ejxODwML2OtN0bfhsCw/pVYF+8p4drT5gCNn6KPmPbREiCXsO8Os5oAGM9BpdYh67wTL8K8kevwbTkHdgnX6GHFQOY0NaIrw878fyWKtg8hGyjgNv6WtEvO3pakVFiuLSLGSPyFby5w4Z526qxcJ8dJ+waZvXOwtC28RtWCkx3xK9wNmO9dFUFPPqIs3hgF0yfzYe7U084zpupf86E2GaVGXjeM4fDaRK4gE5CEtGh3rBhA0wmE7p27Vqv7etjHnZgN4EJQEGHaLMWoWfCYkGov3lpQlmyswwv/nQcfXLNuLp/DrLMctzXzaKIAZ1uWdTNiprCtdePRvqMax0ExpBmkgBRAqsjvlQCHG4Nzgh5o4mEeV2boxlPERFMLhsqQbp4bMhsHBHgcACmxIVyK1JgHqXkncFMtIiWZRlyDDn+gD5r35jh28kKeTwACKxWZ9vinYnTiMAYi1ivtzax1LI2NGIYt8Bq8tcTIaBjCd2ujS+CwV5VM4NYF+Xn72H65HWgU3ewi6+ud1h2QzGIDKq3nnUsKCKr9+CSOHQMHMcOw7jmK4iH9sA+dTbUth0hiwyXdTbj5W1VmNLeiAvam/x527HS1irh/oGp+OG4C+/srMbYNoYGlceSRQFGiaK6yzca3nuWlZfA8vZz0NKyYLvsJu/MPdNNw+KIVONwOJzGhgvoJKShnemioiIUFRVh6NCh9Z6JVT3xtaHyFKH0BFDQkUExRO4M1LdN0cK3m4pfjtvwv3XHMbC1BX8a29Yv7HTTGoJHpaghfwZJgDFEbqVJEuBW9f00CfbqkA6misjAyNs+QQQkb0izJEESRVgNIkyannfsVBs3n9ciC7HNYDrskJkGSWDwaARZkuAMISYYdCdgV7S+ouoCPKLuzt1AGGMhO8mJFtGMMUhRTPh8GGq5RZ/OEJEu7DxuvQa4qup5loIIpKb71/PNxFU61ZDGYQ3B53PQGM+1XMuYq3ZN6Prg832IN+XFABX2MKHb4sE9MC2cD3TuAXb978GaObzWLAtQSYM7hmthakDkhCQwVE2+HGpBR5iWvAvrS4/ANWgMHOdejEG5FgxolRFSnAuMha28JDJ9v7Kgrzep0ITz2hl153OPC4Al9IYxYJYFqN466U0KQR/EdTlhWfBfMI9bNw3z5Y4bzTwkm8PhJB38rZSENDSHbePGjTAajejWrVu9tifS85jjWX//LoKsAK3bRV9fkurXaY81fLsxOV7lwmOrjiAvRcFdI1sHdLL9TsYSkGmWYasQ4PQEmxPJ3lDCUPhmWytirE/bIFzO0OU/gECxp6mASwWgh9iR0QRmNEMU9LaaSJ+5CPVdG4qvnm40yOP2u26bJIZKl3cWmrGANjEAVpmBMd3wLipOh955Yw2b/Yg0k+UT0dUurcHnT5LlmMSPJOhi8XSENM0rmL1/qj7bHISmgjwesFoDeooowCRTSOOwhqKIAjz1MZaItt86IcaSJNVbQMcTuu2DiCDYbVBEBledmV12qhTWd54DS8sAm31zs4tnH1aZ4VQUUzFFZPA0cBDFIDHYew+Bu0tvGL/5FIYfvoa87WfYz5sJd7/hQeszMKQoujFbrPjfK5oGcrvBYhxACzo2Y0g1SiDSB3DdPhdzrZENDz0uQFNh/vhViEWHUD3rVmitWuufyUYgjmgIDofDaSqS49eME0BDfqyKi4tx9OhRDB48uN4zvfEevvQkUHkK6NSdRRW5gqDnZNaH5g7ftrs1/PPbI1CJ8KexbWFRwjdIYAxmWYRJIjg8BKdHg0qk5/IaIpuaSV7nX78xT2OgaXqeb5jjR5x9czhAigHMe0F839Us18zC+2bRGyII5RhnSIkIsNU4nsuCr/YwQVEUOJ1OEGrEs+jPQ9Y7iFF2DtjteghhAzBGeS4CZqKBgPxlgOB0OKI+l4yxmJ55wZtPXl9jveaCVFUXxOFEKGmRPw+F26VHV9SisWblFZHBFrmsfNwwpt/rtfGFccf7OxJreb8gvM7HproC2u2CdcF/wVxOsBvvAbOEr30cF0zQr1m40lex7IIxpMhAhSt8eSuTJKCy3kfQUQQGOwgwmuCYfDnc/UfA9NlbsHz0CjxrvqopzeRFZACTZdCI8WCdusd/QJcTqKeA9sEY0+u3ex8Dn6B2eAI9AhKG2w3Dqi+g/LIO9okz4OnWR18uyglNoeFwOJxEwgV0EtIQAe2bfe7evR4/vr7jxzn7fGgPwWQGYklrE+s5A8GE5g3f1ojwf2uO4uApJ/4yrgBtUmPraDLGYJIZjJLeuRSF2HLqTLIAtxpbmGG9sNsQ1uwn6kw/6dtbgg1rfLPwRu9lVjV9djre3LpQ9XTDYq9G3ZAJk8TgdhEEQfC7sqfILOAeUmINqdU8emddrt9MiCIKAcelMOEdJqMRJrOIanfwwIMkyXC7I6svOYbZZxaDGVtDIKL4R+DCoak1M8geT3wvplhxOyM7+yYQsdbATrwYJCFIKAN6Wkvda+4zkPN4Yjck9IVuxwu53YBLD90O+H5EsHzyOsRjB8Hm3AaW1ybufYfFbNGjQhp4T4gCQ4oCqBT6WUiE8V3d0H01vx2qrv8DlA3fQ/npW7DyEv+6AvPOJleUgzb/BBo4AuyCS8FS0mI/oNsF0rQg34qGUFtQezQhsf4XGoGVFMG4fCFcPfrDOep8fbkg6qZhHA6Hk6RwAZ2E1FdAnzhxAocPH8bAgQPDOkfHQjyzhiXFgK0a6NqLgcXQKa/vrHhzh2+/u+UkfjhUhd8MbIX++fH/sNenVJClTp3ZhOF0hA3dBvT84Ki4XTGFC4qCbowWj4CuKe0V/XyRW8+dq4skMH9IqSIrsIiEugMGMXpE6TjtgNsNGA2AEN897Lvueph56LB5UdDLPDFLCgSBUOlUA55DWVGgaiq0MB1XxljYGs+1iTmfvB4QEVBZHjSYkdRoGsjjDjATa0wUSYA7RLmsSMje8m3x4Bs0irldihJXOUHAOxBkD6x1b/QOXBlXfQF5849gk2YktkyVYgDzDmSR0eR1/a4/ksAavRNklRkqXaiplS0IcA0cDdfA0f51BMaQquiDq+Rygr5ZBKxYAtq2ETh/BjDs7BhFMemDfYbGKUclCSyx/hduJ4zfLARIg2PSpd6qBwwwWxE2EZzD4XCSAC6gk5D6/iBt3LgRBoMBPXv2bNjxY+z/EhEO7SWYLEBWbvT14635XJt6mnYHoRHB5tZCT74yvbNaN4R59cEKvLOlBBM6pmFqt4zENCQGRIEhzSDWykdLQJ1oVY1YpzUu11l7NUhKizrrKTAGRRRiDv8zxGjgRJqmj96EwSQyeDQgRWZgMMDucAaEazLGoAgU3UzMh+YBbB5dQBuUmOpEywKD6HGDXI6IocWKIuuDEk4nJIMBqQY9D762iFYUA5wOe8gJXlnRZ58VUTenC3X6GENcjsKkqYCqxZ5TGSISoEXgcjVZ6RtFZIhH8vk8EeJFkiTIcvSoBUAP3Q434ErkjTYJddNpWtD1lgUGw45NMHz1EdBvKDDugrjbHhZBCJiVZAYjyBn5uYqKweR9HzZejq8+IIhAEV0Hi1Tz3mWKAez8GaABI0Afzwd9PB/4aRVw8dVgBR2iH9DVeALaR23/i9rmmR6Kr/8iHN4HZcP3cA4/B1pGjr6QO25zOJwWABfQSQZR5BHdgwcPYtWqVSGNxtxuNwYMGNCg2Wf9+LGte/K43rfqehaLzbiovuZhUmz7j4ZG+sxepLBd31ymzwl1xb4KvLXpBLplm/DbIblNnjcqesW8L7hSq5WP5o4jjE5kTBffjvCh2wBgiGfUX/OKcWP0PDWDxBDrxJsh1rJKdlvE0R5RYEhVfKKRQZFlOOvkTSoCgyveQQnNA9g9YG43Mj94EcqxQzCGeGgcXfvAddFVemJjBCRRhOjrMNqrQbIEURCDRLQgCJBlJahMkSgKsBgNMElCwkKzSVOBqkp9hjYlDSzKCFa4SIAWQQPdi+NBYAyyKMT87Jrl+l9Tg8EATdMiGopFDd22V8d8XUnTgJ9WwbTwbaBNIdjMaxP7vjRZg/dnsgDVFfXbnyiBmcwgQQyaSU80kUS0QWQho0JYq3zgxnuAjT+CPnsH9MzfQcPG6bP6kdIOVDdIVaM+s4lAHxxlUEQAMgIMyFweCjtgoLdThemL9wCDEc6x3oEWg4nXceZwOC0CLqCTjEjimYiwfv16yLKMwsLCoM9FUUSvXr0aePwY19P02WezFchqFds29c1/TkQ/IBbxXJs9pXa8sfEkDpQ70SfXjLtGtg6o2dxc+DosDPEJaEVi0OwOOMPUafXtO+7wXocdpCh+Q7FwyN7c72jpAbIYm2Agl1PPX41C7RlXWZbgUVWotWasJJFBUAnRbguGOsMOpCH909eg7N8Jz6jz4awzoCVUV8K8cTXk1BS4J14Ucd9KwIAXAdXVQEqqPgBgEFHpVP0dUUmWoaoqVFX1zjgzpFlMMNRjljIcuniuqJldrK4AWdPChpBGiwRIehroXhwvBpEhFn9AWQxd6i4ejEYj7HZ72MoOBoMhbFQQOeyxi+cjB0AfvQEc3At07AZ25U1gSvw51WFRjCGvD5NlkGyI6V0QhFeEMoMB5HE1yJQsFnwiusoN/++QwBjMEVJ7GGNA/2FA9z6gLz8Gvv8atGUdMOUyYMDw8AMUrqbL7a9N7Xxpk0RwqQS7RwsZOSVt3wh552bYJ84Ama2AZGj0mXMOh8NJFFxAJxmRSlgdOHAAZWVlGDt2LDp16tQox49VQJ84rps4d+8T2+xwfcO3hQSYh2lEqHCqMYU/V7tUfLStFCv2VSDVKOL24fkY1yE16RyLJdUFFofTrkwiRNUBdwQRW7+qRl6X6igOuz6x54hSX9wYQ544aarXBC1+DIoMuzOw5rIiAI4ogkZR9Jlf31YpK5fAtHMzTk2+AvKUK1BRXh60jaAoMH7/FbTc1lD7Dg25X0kM8VyobpDDDmY0QRQY0k2Br2nNKMJut+vlgwQBBiVxwi9IPAP6/9uqAGtq6I2iRAK0CNwNdy+OFVnU35mRnl2BhS91Fw+MMb+Irns8SZLCelKQ2+2NVokM2W1+YQdLCtjlN0QWdvVBECOLQZPJK37jiCSRDYF57yZL4xnV1ULwun9XekW0RY7t95OZzGDTZ4EGjQJ99Abonf8Ba1cCF18FlhvCoK0JzfHC4fP9MEh6+o7DXcsUU9Vg/HwBtLRMOIdN8DpuN297ORwOJx64gG4hEBE2btyI1NRUdOgQQx5UfY8Tg8jUNMKhfQRLCpCRHdt+GxK+3RDqimciwpEKF9QQX/NguRMfbC1BlUvDOZ3SMPOsLORak68GJXncgK0KslsLqrsaCoExSEwAGINFBirD1D+O7r4dBrcT5DFENWIySJHNxERvDm9UbNX17ugKgqCHctcKg1ZEBof3PAqV5dCsaV4zG2+7RNFbVkqEqqowbvsZKd9/geq+w1E98nykhziOIgpQL5kDtfgIlIUL4MzKhda2ffB64USbww6SlZBhmIIgwGAwwOFw1K/sUBhIVfVwWK94Jk0DnA49XNTjBtmqweqU84o1EiDpiSFXOFEITC9TZ/doYUV0Q0K3g45X636puywUpKr+snBEBBw/oovLuhQdAX3+vj7gMnwc2PlRQovrizlE6HYtmCDqhmIxCH7vFkFijQkCyGwBqhtauCrEsRgLeF/5Smi5tOASZFH31qYQ+N2fgJ9WgRa/D3ryQdCYiWDnTg+c8W/iqIpoKKIAxZu6UOFUIf+8CtKR/ai++DrAaNFNw5JrjJrD4XAiwgV0khFuBvrQoUMoLS3F6NGj623EFdvxo69z4phuStyhb+y5yfUJ32asYe7bqkaodAXOPH+0rRSLd5aH3aZTpgF39c1B+wwjUg3NXHg6BHrNYz1cVhZYTAK6dhSoLDCYJAZ7nZngqLWfo2G3AVHKrfiOES4SQIll9tnpADwNEzuyJEFVVXi8uaECY5AEgrzxR2QsehPOdp1x6rxL4cnJB/OuD+izxezIfqQvehOuth1w6oLZAULbN8tuFH3lshQ4r5wL43P/hPLOS3DeeC8oNT2gHeGfZb22NVlDRz9IkgRFUertah90tDriGQDo/VeBX9YDv/uTXobI5QCJIpg3zLIhkQBJBzWt4DDJAgwS052MPYFlyxRRgKGBodt18d0vvvx5RVFC3ldEpItI0sU9ffAqsHZV+B23bQ927e2xmVvVB6MJLJZ73GDUw5ZjMRQzmkKmIzBZqX84eNDOBEDxhiT7ojpqf8wY6vvzwgQBGDoW6NUf9PkHult36Umwq24OXDEBNaETjSwKkFQnjIvfhppXAPeA0Vw8czicFgkX0ElGqBkJIsKGDRuQkpLSaKHbvuNEiwjWNMKh/QRrKpCRFdt+xVBhqjFt17Bf1bri+WS1G0t3l2NAvgUjC4NrGBslAd2yjXpeWgJngBKK3ebvJMYa4anU+R5GUTf0UgPCmBv4XVUPqLpS7zhGaotHg90d4iZjgIEEkDtKOxJkVGVQFGgOJzTvzJDp6H5Yl7wDd25byMVHkTPvUVQNHQ/H2Cn+e1eyVyH9g/+BTBaUXnw9YNbN0xhjMMoCDAILTjdIy4LzyptgfPnfuoi+9g5AVsDA/MI8LKpHH6kyhp7Vqzv7TJqmb6N69OsgShHFBxHV1Fh2OQLF85EDwLrvAMZArz4F3PYXMIsVsNt0ES3JDYoESEqaMIwb8Oa/yiJMEsGpEhxuDQTAUr9ciqgoigLV4wbzeCBCN6sMEtG2qhoR+v1XungeOQGsSwhvDcUAdOre8JrDshL2Ho/VCIsxBjKZo88gC2LkPFuTWS8zV183eSbo+zcYa86tIHhnyO3122e4Q1lTwS69Dlp6JrDsU9CBPWCFtfoHblfCzMTIYQ9/TkQJkKSYj2P8/guIZSdQde09elpIEv7McjgcTjS4gE4yQgnow4cPo6SkBKNGjWrU2edY0mmLj+p97c7dG3f2Wd+uXpsBANxqcMmnj7eXgoHhyr7ZyDSFb5OhEWaAEgG53frJ96LPnLKoxmh1hTZjDFYZOOWqPeuVgAbGYMJjIILdHdwRU0QGwd1055wxBqNBgd3pBMpLYXn3Jaip6Th5xS1gpCF1+adIWfMVzNt+hv2CK+Dp0huWt5+HYKvCyavvhJaaBggSZF+OsiNM2yUJlNsWrovnwPDOS1AWLoDr4msgyZFmn2vhsINEOXxZF58A9rhDzr4REwBJ8ndyQdDX9XiFdoi8USICLXpPD5298kbQq0+D3nwOuP73YKIEVFeBFEODIwGSDpcLZAohKhsZxhiMEoNREqBqFFepsXgxqB5dIFZVAGAg330hSfo94X2GaedW0MK3gV79waZd2XCRHA6ml6ZKxP6ZrIAUY8A7MgiTJUo4uAAyWevn7G2y6HWqQ+3fYNLTBCKYONYXNvZ80JrloMXvAr+9v9bx9WgCSoleajAS5HbFlg/PBN1B2/u+CTV4R7YqiEveh7vzWfD0HdYg8RxPaURATxHicDicRMEFdJJRV0D7cp+tVis6d+7cyMeO/LmmEg7vJ6SkAWmZse+3PmGmggCwBsyK1v1hPVDuxJpDVbiga3pE8SwyBnMjzQA1BNK0kKVW5CgCWhJCD3SIQk0eZly1nxuIwPS8P3edNsdVPitG6ORx4PB+oPegsLnERhC0d14C87hROftWkNkCAlA+ZTbcA0fDuvhtWBf8F2p6NsTyk6iaeSPceQWAqM/+GmUh4rljggCSZKg9+sI1fgqUbxYBsgIpvy2obu/RmgL0G6KL1NrUt0wPoM8Qu+N0GN75C7B7G9i0K8C69QYuuQb07jzQZ++AXThb36czeDaNbNXAxh8Tl0/cvnPgjFqjQ/qggNx8vgeNGfVCTgeY6qmVdkC6mFbdNfX7ANCJItCbzwO5rcEuv6HxxDMAmBMjnn0wswVkMOr3p6uOsZisxBSiz2RZF+LxoBj8qQ0h98mY7jRdeQqhBq0aAjMYgYkX6i7oWzcAZw2o+VDz5rNbgiOuYiEuh33S9CgObwg8gdUMzogySBSBz94Bs1fDcdGcBolnkyzAJAk45QweKA+FJLCYDCo5HA4nVriATjJqC2hNIxw7dhQnTpzAiBEjGnX2GYgejXnssB5B26VnPLPPYr1GvxtqHlY7N5iI8N4vJbAqAiZ1TY+4nVmJLIiaDbstZAidLACRAgMjhWabJAa3xhpFvEZCEQMFdL3KZ0WA3C7QN4uB5Z/rMz5t2gEXXw3WLlCMERHYR29AOHYIritugpjbGvDmhouCAOrYHZU3/xmGH76GcflnsI+bBk+fIRCcTmiyrOfzxXLuZBnwuOAZcz6EkhOQ1n+vHz/Uuis+19vaoWsDz0L9IE0DLX4fyMwBho8HALBBo0DHDgMrl4Ly2oINOztwGyLg5zWgRe8G5Xo2uD2DR4FNngkWzgE80bhczSqgGwtSY8tXJ7sN9NozAGN6bnMMNd7rjWIAa4RzzUQRMFtBRhVwOvVa9UB8Ls8msx7uHdsRgRjOExPjNTuLgyFjgFVf6qZuPfoGDhi6XSC7rX4Gb/aGpGl4B6Q8btCJfaCP5wO7toGNOhdS+05QIxhKRkLyDv4yxmBVRFQ41YiO9r71kq2SBofDadlwAZ1k+H4IyFu3eMOGDbBYLOjSpUujHztSjd6iw4QDuwkZWUBqRuz7lKI4M4eioeZhblUL+C5bi+3YfsKOK3pnwSyL+qxsqLaKMbpANzGRnI6lKPWV5Sh9QIvMmjy0TREAGxjIKyGNiRTPv24GffwmUHoC6D8MrEsv0Bcfgp79B2jIGLDJl4CZvSW3li8GNv4IYdIlEHr1h+TxQFB1HwDZN1MlSnCOPA/O4ef6w6glWYFLEGGKdZBHkqG78QKeGXMgzbg6dGdu93bQpwtAzz0CGjQK7IImFI4+fl4NHDsENmuuNwRTr4DNLrgUdPyofm5b5YN17AYAoKIjesd47w6gXUew624HcvIb3g7VA/r2C+DbpaBfNgCTLwGGjGnc2VBAFxuhcoNbOrZqRJv5JE0Dvf0ScPI42I13g2Xm6B+IvvsgBGHSAKIi6KHbjQnzlr8igxFQ1ai16gO2ZQyCyQLgRPSVFUPM+2ZGk56KoyY2/YGJIjB5Juj1Z/TyVsPHBa7gtOveBXHU5ians8G1scntAn29CFixBJBlPaJh3GQoxOCsRzQ7YwyWWmLYN7Mc0lfDi0lKUj8TDofTouECOonQTbz0HwKVgONFx1BcXIxhw4ZBTIARSNTjhxgQJiIcOQAc3EPIyAa6nhVf7nN9wrcbah7mrDX7rHlnn3MsEsZ11HPBUg0tZzRaD92OPGMhC4AzhPmsyKKL4+bIC9Pdqsnf5kTkX1N5CejTt3XX6Jw8sJvuAevcU/+w90DQsk+B75aBflkPXHApYLKAvvgI6DcUGDcZCnQHfEXQoLIQ+cm1/i0ajFBY7K7ljDGQJIOpbhgNSvhIkrMGAF17gb7+DPj2C9DWDcCkGcDQsY0vHOHt7C79GCjoAPQZrH9nsxWoqtSPP2su6Jm/g954FvjtfaB13wMrv9QNky6ZAwwendhw3MkzQQNHgD5+E/Th67qh1cVXgYUoB5Y4SBcNcQiNZIcctpgEG33xIbB9E9hFV4F16q4vlBWwCOG/AUZ0vv/GMmMZpTRVImGCEN5DINJ2BoM++BUx158BxjjDvS0WoCLxodzo1R/o0AX05Sd6Le66IeW2apAgxuRqrjvsxxi6HW4f2zeBPnlLH8wcMBzskmsh5OQBAGTvIFWkmeNQmKTgqB+zLMKjUlBaEOCtOpGAeuocDodTFy6gk4jaJaxUIvy6dTOMJhPadmjc3Gf92KHNhA7sJhw9COTkAZ16hHAZDgNjLGyd0WjU03MMgN5mdy0BveZgJQ5XuDB3cC4kQS8zlIzimRy20P2pGDqkssACBg1qlieocY2AQdTb3ND8a1I9wKplukAmAps0AxhzfkAnkRlNYFMvBw0cCfroDdB7r+gftG0Pdul1/vvBaDDo948gh6wT7t+fYoBVJL2TGSuy7C1vFfmiMMUANukS0IARoI/n63mNq78BZYYouC6IYMPG6nnKUSBbNeibRWCp6bqrcqiH7LuvgPLSmrxXWa/tTSYLYK/SQ0Dn3KaL6H8/oG8zeLQ+q99IM+Ustw1w073+EHF6+iFQl57eWf06pGaAnTMVLC2OEJlQuJynjYAmjwdwRDDVgneQbuVSPeVh2DiwEXroPgQ9FDoSjDGvcVTN9SCfq3vdHGQfBlPUmvFJg8kCVJaH/9xgjGtmG/DWrfY+U4mEMQZccBno2Yf163nu9DprEGCrBFnTog90xRCxEA4qKwF9ugDY+jPQqjXY3D+Ade8TMBDDvAaY7hjKMPqIJIYtiohTdUK5fbPVHA6H0xhwAZ1E1H75HztWhJPFx9FnwGCo0M2eTI3pDF3nd4yIsOdXQvFRIK8t0KFrfMJTCedGGgWxgQLXrdXUVHWpGj7aXooOGQYMaqOHCxoSGC6cKPRObv1LnIQTyonMK040vtDzhoRv096dusA8fgTo2Q9s+iywUELTC2tdANx8P7D+e9CW9WAXXx2Qg8kYg9lkgkaECheFDosXRBgUGQaR4HDELqAVswWiPfZOKcttrQvHjT+AvvsaOFUavFJlBeiX9aA+g3XDrxDCkYiA9av1/OTqSv3oa1fpedYda/KsqboK9M0iPX/SN/voFZHMYNAHC5x2sFb5wNW3gFYuBRs/BaxD46eWMMaAgSOAnv302bV9O0KvuHMraMMaYOKFwMhz6l++x+MGOZ36DGQLRq8ZX4VI9xwd3Ks/Q0cOeJ+hK/UPmABYU+r1LmaSBEh1c5C9bRDEmPKFkwUmihGcvVnkkliR9ut7pkKVhtK0eod4s8JOoD6DQCuWAMPOBktJC953dRUowrUlp6NeDvvk8eh52Ms+1dsy6RJgzHn6OzZEuL4iMrhjfIVGE8OioJeerHbV7NCSrKUoORzOaQEX0ElEbQG9Z/cuyIqC9p30DqrDrUFkaLQc3doT0JpG2PkLofQE0LY9UNBRF7V6SLYIl8sVMfRKkuoXui0IoSeW4sHlqWnXV3tOocyu4oaBuRC84cxyEuY4NzTPjIVwtmbQlyUzFonFZsJVB6qq0Mssrf8eyMgCm3MbWK/+MW3LBEGfNR08Ouw6grfMV4UrxD0uyzB5O2aCIAREjYRDkiQYDAaQxx02lz1kWxkD+g8H6z885Ofkceuh3l99BtqxBTj3QmBUzexyYH5yJ7Ab7gbKS0CfvgV6/hHQwJFgUy4Fs6bqYeNOB9jkmfrORTlAgDKTWZ/t97jBuvQE69Iz5u+RKJjJXCPwQkAlxaBP3gJ99g6w7nvgoqvqL/Dt1SBZint2Malw2EOWNgO8EQlLPgR+XAGkpIHN/i3QZ3CNqDJbG/zdA3KQXQ5dTDdh6HbCMJr0d3TdSCCjsUEpC+FMvYhId+uOJ8Kl9n7PnwH6ZQNo2adgF18dvILqBk6VBZYwEyW9YkCMZnNBbd7zq/6uOX4U6DUAbPoVYBnewcwwTuvx/D6ZYxDDRkmASyW4VQ1Kkpai5HA4pw9cQCcRtQ3EThw/juxWeRBrCVGbmyAyapRRVaolvnZt1cVz+y4Mrdvpx2JMgMGgzyozJsDpdIQU0YwJUOoR/sgYICsNm30mIri836PSqWLxjnL0zTOje44+46EkaxmLOERVOOo6W0czD0sG4p0hJ00DfvwWtOQDPcx2/BSwCVPiMsaJFUlgsMoCqurUrFaMRv/zJ4piVAEtimJNKoOiJORa+2CSDEyYCvQfpgvHRe8A674Dpl4O2rkVWPWl3smfeS0waJTeiW3TDujSUzf2+XYJaNsGYOwkYPXX+sBCXpuattbFbNVdtuvZsW9sWFYr4Lo7gK0b9EGC5/4JGjxaN2OLu4wPAdXVQEoTm7glCPK4Q5caI9IjMBa9p+e4jjoXbOKFgW7bJktM5Z5ihQkCYDTrfy0QJgggozkw5JoJQLylrmI9nq/kVVUF6hNGzXLyQMPPBtYsB406V48aCSK4hBkJovd4sR+TKk/p99LPq4GMbN25vWe/mhUiOK2Lgu4jEa0MlSwKMMYohi2ygEoiWJKwFCWHwzm94AI6ifAJ0lOVlbBVV6FTtx5Bn1e7NFgVIeZc5NiPrf+3qoJQUgy07YBa4pnBaKwJyRZFEUajEQ6HE1RnVN4nsuOloeIZ0EtX+c7hB1tL4PBouKRXVk3bknD2mTzu0GF8cVK3f9EYs89UcQq0+F1g28boRcMbA81b07hzD93oKGTHMHEoIoOJGOy+qAZRgtlQIyxkWYY7Qs1jQRACnwdJ1jve9S4LExqWmQNce7tXOC4A/e/f+gdDRusloOqIRz3PeobXoGu+bh4lK2ATL/StEbKUExMEkCVF79gn+DskCsZYjRnbVwt1F++tPwOTZ8Zvcqa6QQ5745ZyagRqQrfrLC86DPpoPrBvJ1DYGeziq8BatwtcKUo94zMVZjDo1RB8odWGhs0+Rz2eJIGMxnqn9rBzpoHWfa+beF3/+9jaGmJgzF8ScPU3Xsf1Orjd+uj3hKlg4y8IHMyMwWldERnsEQS0wBgscZh5iAJDWgsyCeVwOC0XLqCTCJ/4O3bsOAAgu1Vu0DoqEapcGsxKjDVoYzyuTw8d3k8QpRrxDACyrECoE84nCLqIdjod/lk4WZbr5RYuK7Gbk0XCV/t5+d5TWHWgEpO7pqNNqi4EZCF21+QmxdWw8G0fPsdt1XshE2kgRpoGrPlGd612u4EBw5stj5EVdgb6DGqyDpJJEqCSBpdKMBgNAfeQIAhh73efeK5tGsYYA8myPnueYGoLR6xZARR2Amsf2XyQtcoHbrxHdy6X5JocalkJ2+FmoqjPjlUntt5zomGKocbF+6P5oA9e08v7XHw1WJvC2HfksINkpf751M2BvTpgUI6cDj0vddWXgNEcGJFQG1Fu9NJSLRqTGag6pQ+CNcEgAzOaQW5PvfKhmTUVmHIZ6MPXQV98WJOaEQcBLtq9BgCh/CUkCWzQqNCDmabo4fqywBBpiCCW0O26cPHM4XCaAi6gkwifED1eVARZVpCWlh5yPdVbI9ooCwkxFvOJ5+oqb95zB0DyhjtLklRTE7cOgiDAaDT5w7nlMKFakZAk1uCyVYDXfVsjbD9hx4LNJ9En14yLe2b6P0/afChPYgQ0oJeDsntqDLoSAR3c4zUZOgh06QV20WwwbymSMwWLxKARYDIHh4pLkuT1BxD9gloUI8yAyIbYBDQT/LmJYW3pNS3IyZcpBmDseaHXl2R9lqmWuGKMAb0HBa4XKny79jFkGWRN1QdTfOWLEl2SJ0Gw3DbA3D/UuHg/9TfQyAlgEy8Km4MaiD6bS9bUFtExJ7fLf38REbBlPWjhAuBUmV4ObdIlYJYQztpMACwtMD+5CWGSBFIMer5wU50ns0XPh65PKPews0FHDwLLPwfltQUbENpLoS5UVqLfM7/8rNd8v+lesM49om9YG8UYUxqALAoQmBbSsNHA85g5HE4SwwV0EuGbgS4uPo6sVq2ihl053BpUlWCW6xfSLYoiiAiqRw/dOrKfIIhAfoG+L0GIns+sl6sygrx1HeNBEAFJTkxHxKUSjle58PzaIrSyyrhpcK5fROp1h5OvY5io8G0fekQCxRW+TVUVQHkIh2fSQGtXAT9+6zUZurlJZ36TCcYEpFqVkKWfJEmC1WqF0xnbrDKTZZBsQOgOMasx9InRhM/njh39wILeGVe1yLPHTAibsxiwWq3SRYG1gFUkTEw30FzPR4CL95IPge+/Bm36CZh6OdBvaPR7WvXo5zjJc3hJ07zlhwA6eVyfPdyxBcgvALvqd2CFncJvHMboiVMHo1kPWW4imCiCTOZ612Rm068EFR8Dvf8KkJMLVtAx7LqkeoCVIVy04zUE9ZrHxUqoMowiYzDzPGYOh5PEcAGdRBARqqqrUVVZ4XffjoZbI1S6NJgVBjmODpCiKFC8M0125oat2oWTxzW0LgRkmfmFcSyCSTcWizfMSj9Ooih3qHjmhyIQAbcNyw+oF6kIyVn7OVHh2z5kgYGBIZZ+h15yZClo2cLwQkUQQpsMne7Unv2VpIg1a+t174eaAawvPofgaMZeJrPuiixEKsuDetU/DlULOBGQw9ag8m51YSYz2MVXgQaP0uuBL3gR7FQZcPak6Bs77KBkr11sr9bzdJcvBi1frA/ETL8SGD4+cgh6BKMnTiDNMcjADEY9sqAepaWYKAFX3Qx66iHQa88At/0ldLm7vTu8JQGPAr36g027MmJJwIjE6bQuiwzOOq8viyIkLIqKw+FwGgMuoJMEX/j2sWPHAITOfw67LRGqnARZiD4b7cvNrJ27KTARRw/oeql9JwMEQfXmPTdeZ0FJgGmYD4+m4fm1RThW6cKdI/KRaw3s6BqS1n07sQIaAIwSouaM0Z5fdTOhYm/JkUEj9Ytfl5y8My5cG0ZzixosiMmxVzYEmvuYzHpnPJTobgRH83pjMOlh4qHMixoAK+gA3Ppn0IIXQJ+/D+S2BuvRN/qGtuqI5fuaE3I5QVvWgz55Eygp1mfWp1wWUiwFEIPREycJMFuAylrmfXUG+WC3h82VZpYU4NrbQM/+A/T6s8Bv7/OHV+slAd8F1odx0Y4XoynuGeu61RiMkpCc5SY5HA6nFlxAJwl+A7Gi45AkGWkZmVG2CMbm0GB3ajAb9dzoukJalmUoihIgXIkItmoNxw670ba9Aou18TvQisLA4gw5952fUKL7rU0nseFYNa7onYVerQJDx5K19jO53Y3iZGyMEKqulxx5F/h5DZCZA3bdHbEJhzOJZBKQMRLRsVcQgsIpa0T3qcB1RSmpzLL87axnDmjEfQsCcOlv9FDnBS8CtzwAlts68kaaCopzRpw0NTFNZwhbl1krOQ5a8BKw+Sd90OuGu8G69optvzEYPXGaHyZ4zfs0TY+KqfOcklUCqivDzlKz/ALg8htAbzyrG+pd9hvghxW6A7/LCUyYAja+gSUBRQmsHmkOAmOQBb0MoygwmBPpgMnhcDiNBBfQSYI///l4EbJyWsU9+6sRAV43bZtdg1PWYJREGCUGUdRnnaUQI8OkAft36/mb7Ts3fhifJDMI9chHrnbrTsgSAySR+V21V+yrwEfbSjGqMAXndEoL2u50rP1Mtipgw49hO0uh+utktwHff6XPeocqOcLRnahbaB5oWMdekzXkd9JFtylQdCfh/cBE0dtOW+L3rRiAa24DPf0Q6LWngFv/AmaOPBtLdhtIU8OK2YB13S5d1CQIqjPrSAQ9XHvhAkBVwc6/GBh7fsSUgwBiNHriJAeRrhVjTC8xF0lE9x4ITLwI9OXHoH07gLKSBJYEZHqd+HoiiwLcmgqLzEtQcTiclgEX0EkCEcFut6Pi1CkUtI9g9hJu+1rRmEQEj5vBARVOlSHFYoDMhJBGXzabhqMH3WjdTobR1LjiQRSZ3907HlyqBqdHn611k573fcTmwdtbTmL90Wp0yzbi6n6tQnq7JGXtZyI9NDXe7TQNWP89aPF7QHVwndeodOkJduHsRq+f3GKRk09AxkVdx17FELnTbTTrkRCqB+FqPycDzGjytjP+ZybqvjOygKtvAb34GOjN54Hf3BllFp70cNkoeey1Db0SBnnroLtdoH079TSMosN6zupFV4GlZSLm6e44jZ44yU8sIhrnTAVOHAP2/Ap25U2xmejFgtHUoOgVWWQwQQgK5+ZwOJxkhQvoJEHTNBw7VgQgvvxn//Z1XCxBBI8LMJglqGCodKp6qJTIYBBrwpr37XSCCGjfuXHFgyDo9Z7jRSNCtasm1NmjEZbtLsfCX8tAAGb1ycZFPbMgCoDDo8HpIX9JjKSt/eyJP3ybjh4CfTwf2L8LKOwMdv0sIDuO+4QxsCaoXdpyYUALn40LcOwVxNhyW30h0nKSz75bLEBF4kO5AYB16AJcfDXo/VdBi98Dm3ZF5A3cTpA78uAE7NWNkqJBVRV63vZP3wEZWWA3/xGslggiX1kxjzcaIZzLf5xGT5yWgV9E26pCemwwxoArbgSIQj/vghjdkLAuktxg3whJYBBZEr9/OBwOpw5cQCcRx4qOQZQkpGdm4duD1fjukB3j25sxJN8UUQhqWuhOJRMEVJYI2L7TBsXIkNFKQnorESYrgygIgIdwcJ8LeW1kmC2N9+PFWP3EMwBUu2pqRO44acebG0/gSKUb/fLMuG5gLgrTa4S/WRZhkghOleBwa8lbQzIO921y2PWyIt8t0w2uLr0OGDgyucVOS0SSTotz6nfsNZpic9D3ie4k/+5MEEEmS1Dd64Ttf8gY0LHDwKovQfltwQaPjryBwwbIwSkjAEBOZ8INAknTgLUrQZ9/ADgdwLjJYNNnQbCkBKzHJK+plMG3naqLaY+3Zrem1svoidNy8HsHRBLRod4NogyWkqpHSPkGYDzewZiwA1dMj3xJULs5HA6npcB/RZMETdNQVHQcWdk5cGrA4t1V8GjAW1sr8OW+akzqaMWgfGPI0g6hJjqIgFNFIg7vdsNoYnA5Cfu3uYBtgMHMkNFKhMdN0FQgv4MEjajRykbI9XTcdno0uFQNFU4P3v+lFN8frESWWcKtw/IwpI0Vqcbg25cxBqPEYJSEpHTM1cO3Azs1tH0T6IcV+kWry5EDQEU5MHQs2KRLElsCKdFYUnR32MaEtBpBkEh35pYevl0bS0pcz1tLiUxgBgPI42oU93oAYFMuAx0/AvrwDT2cve+Q8OdR9YCcjqBzR5qql5NSPcDqb0C7tiWmcWUlerh2x25gF18F1q4zWAwh2EwQAUX057eTpp0WA0WcyPhFdKRw7sAt9CgP77aQ5YCIHFLV0L9PAovJD4DD4XBON7iAThLsdjtOlZehZ59+WHnQBpuHcM/QLFQ4VSzeU4U3fjmFpXurMKmTFQPyaoQ0EQWFb2sacHyfiNIiFek5AroONECSBThsGsqLVZQVqyg+6IGmARm5IgQjUOFUYZQEGMTE1kyWFRaxrFY4VI1Q5VKxfN8pfLi1FE6Phgu6pmNKtwwYZREWJfqPdlKOaLtdqD2aT4f2gt74r55TaU0NXj+3DdjVt4AVxp8X36QoxqarJes9TnwzJZFggJKc+b/1ISnv+0RhsgAIJ2ojhCzHABNFYPZvQf97AvTWC3qY9IWzwpdyc9hBshIoSKurQfu8NXWLjgCtWicmNUAxgF1+AzBguG4SVs+QWS6ezxwC3PajPRcmS0QhnEzu/BwOh5MMcAGdJPjqP6dmtcI326vRK9uAwjQZgIxeOQZsLnZi8Z4qvLblFD7fU4UBeUb0zjGijTXwh83tAg79KsBeScjvIKFtVxmStyyE0Swgr72AvPYyNJVQWabBaKkR4na3iuNVKj7dWYYyhwcFqQoKUg1o6/2vNQbRWhtZYRDraQryS7ENr/5cjH1lTvTIMWF232zkp+gixywLyZnbHAu1Zs+oohz02jNASirYbX8BCyWgWwJMqHeHvkGHDTVT4s8B9YrqWPJQZfn0Fp2nEUwQwhp4kccTuR52LPs3W4FbHgDWfAP64iPQE38GjZusu9bXHSAiTQ/l9roPayeKdOG87jsgPQvsmlt1g6+E3luM5y9zYoYJAsiSGrkUnKyAGU6jCBwOh8NpAriATgKICMeOHYMgivil2oxqtw2TOtbkFQmMoV+uEX1aGbDxuAMrD9mwdG81vthbjTRFQM8sBWdlGdBWUnBspwDNA3TsoyAzVwzrei2IDGnZuiBWPQSPW8Pqw1X44NdSeDRCYZoBKw9Wwu6pqRWbYRTROkVBrkVGrsX3X/2v7oxwfcVzlUvFGxuK8eXuU0g1iLhxUCsMbVvTYZRFAcZkzW32Qh43tKoKUCinbK/7NrndoNefAew2sFv+1HLFM6DnVCbJzFZNDqgeWksOe/QSSEnqPs2Jj4j1sOPZjygCo84F+gwGffYO8NVC0IYfgAtnASPODlzZ5YQmScD3X+smfy6nnp98zrTGKRPXQLdjzpkHE0WQxRq6pBoTYjMb5HA4HE4AXEAnAUSEY0VFyMjMxucHHeiRpaB9enCnXmAMA/JMGJBnQpVLw9YTDmw+7sTPxU7sL9JwvmCES9BQkuOC26OifbUBbQxKuIBHP2VOD179+QS2n7Sjc4YRvx2Yi7apBhARSuweHKpw4XCFE4cqXDha5cK6Y9WocFYE7EMRmf84DZkc8WgEVQMmdErDhT0yYJZrOosCY7DIySHUwkFEgK0KpEhhaz0TEejD14CDe8Gu+h1Y63ZN28hEIkpJnUMbvQRS8pZv4sRP2HrY9dlXajrYrLmgoWNAH80HzfsPTs5/LnhFTdMjHjp118tJ5bZu8LFDIjbc7ZhzZsJkJbjuOwCYzEkz+MnhcDgtCS6gkwC73Y6y0lIY2vZAlV3DpE7RjaKsioDB+SYMyDbCZiPs2yzACQ3rjJXYW+SE+6germWUGArTDcj3zRxb9b8ciwyBAcv3VuCDrSUAA67slYVzOqTBoui3BWMM2WYZ2WYZ/fMCR6ntbg3Hq904Xu3C8Wo3Tjn10heiALAGhFcLDBjVLgXt0o3waOT/04haRui2vTp6vtnKL4H1q8HOnQ7WZ1DTtKuxaAm1ZCOVQJIVHg57ulG3HnYDYZ17Ar9/CPjxWxht1bDXFSGiBNalF9B/GJiq1uTkx1sOKHIr/CZPHE59YEYzSNVqBnZlQ+NESXA4HM4ZABfQSYAv/3mjzYpuWQo6hph9DgWperrn0R0CRAb0H2jAyFQrVI1QVO3G4WoX9pc7caDcibWHq2Bz1wg7Bl2EV7o09GplwjX9c5BtlmERhJj6nSZZQPt0A9rXKiOlKAxCPXOeQyHX2peqUdKLZ3K79BDOSOv8ugW0+F2g9yDgnGlN1LJGQjHohkZJTsQSSKeReRhHJ6AedqL2KcnAyHNgycyEs7S01gcCkJpeMwgjSfDVkCJNbZCpWWADBO52zGk4ZgtQper5+y1h8JPD4XCSlKQR0KtXr8aWLVuQn5+P3bt3Y/z48ejXr1/Y9YuKivDhhx+ioKAAxcXFsFgsuPTSSyG2wPywI0eOAExAEVJxacfYyhQREVSVcGQXg9MGFPYimFL0yykKDAXpBnTIMWJ0rfWrXBqOV7n1meMqN07a3OjVyowRBXqOsUkWYJAEuFwUk/eSD93LKbHiuS5JL541DbDpHXaqOAV3RQnoVGCYO+w20FvPA3ltwS6/voWHzjHA2HI6YCFLIDEBaAEDAJz48dfDjqmETwMwmsNGMDBBBLjo5SQRjDE9H5qXM+NwOJwGkRQC+ptvvsH777+P//znPzAajSgpKcHvf/973H///ejevXvQ+iUlJXjwwQdxww03YNAgPQT2sccew7x583DjjTc2dfMbzOEjR1Epp6FjphGdM2OcfSag+CBDZSlDXgcNqZlCQEeu7jgCYwwpBhEpBhGds4JzVgXGYJL0fSgK4HZRTJMnglD/Os+nFXYbyOUEli8GLV+MU54wNYotKWDX3tbyQ+eSyDgsZkyWQGdu7r59emO2AJUVsTmx1wdR5u7FnBYHH9jhcDichtPsAtput2P+/Pk499xzYTTqwi4rKwv9+/fHK6+8gscffzxom/fffx8AMHDgQP+y8847D4888ggmTpyI9u3bN0nbE4HL5UJJyUmcNHbABTHOPgNAWRFw8jBDeitCZj4gijWXkjEWdx6ySa4R4IwxKAYGVSV43AQKE9ItSQySzAUIuZygX9aDPpkPnCwG+g1FyuhzUFUVImS4TSFYWkbTNzKRCGKLNDNigqCH9tq810Xm4ud0hgkiyGgOHbqfCHgILIfD4XA4ZyTNLqA3bdqE6upqdO3aNWB5ly5dsHr1ahw8eBDt2tW4FGuahjVr1qB3794Bs0ddunQBEWHlypUtSkAfOnwEIIIxPQddY5x9rq4gHN4JmFMI+Z0IjAFCrSnneAeXRYGFLA0ligyC4C2r66lR0U0Rst1S0EqKQQteBDb/BOTkgd1wN1jXXjBkZqK6dq7k6UQLLnvCFIPuyu1xg8k8fPt0J2TofiJQDHrJNA6Hw+FwOGcczd4D2LdvHwAgOzs7YHlOTg4AYM+ePQEC+vjx47Db7UHrWywWmEwm7Nmzp5FbXD/eeXMZPKoKrc50bpWjDASGsaqAU9/+GnU/BOCY1h4ygB6V30H5wQUwBqlWLqcoIa7QVEUUoEWYsRYAKKSXlwLp+wcYGikwsuVQXQH6ZjGgqmDnXQScPalFmGo1CMXY8oWnyQy4HM3dCk5TUTd0v6EwoUXl/3M4HA6Hw0kszS6gKysrAcAfvu3D9+9Tp07FtL5vWd31AeCrr77CV199BQB49NFH0bp1I9XpjMDv772mEfY6MPoqnMbllvvDftQmr00TNoTTnDTHO4UTD20Ttif+XJ858Of6zIFfaw6HEw/N7gIkSTU1h2vj+7dUJ0wu3PoAIAhC0PoAcM455+DRRx/Fo48+mpA215f77ruvWY/PaTr4tT5z4Nf6zIFf6zMHfq3PHPi15nA48dLsAjo9PR0A4HAEhlT6/p2ZmRnT+r5lddfncDgcDofD4XA4HA4nETS7gO7YsSMAvTRVbU6ePAkAQYZg6enpyMjICFrfbrejurq6RRmIcTgcDofD4XA4HA6n5dDsArp3795ISUnBrl27Apbv2rULnTp1CspLEQQBw4YNw+7du4PWB4AxY8Y0boMbwDnnnNPcTeA0Efxanznwa33mwK/1mQO/1mcO/FpzOJx4aXYBLYoiZsyYgZUrV8Ll0kuNlJWVYd26dbjkkksAAPPmzcMDDzwAj8cDAJg6dSpsNhs2bNjg38+XX36JYcOGoW3bxJnFJBr+kj5z4Nf6zIFf6zMHfq3PHPi1PnPg15rD4cQLI6pTV6mZ+PLLL7Fjxw60a9cOe/bswahRozBkyBAAwJNPPol9+/bh3//+NwwGAwDgwIED+PDDD9G+fXuUl5dDkiRcccUVkFt6iR0Oh8PhcDgcDofD4SQlSSOgORwOh8NJJjweD/bu3YuSkhIMGzYsZPUHDofD4XA4ZxZcQDcBq1evxpYtW5Cfn4/du3dj/Pjx6NevX3M3i9MAPB4PPv30U3z77bcoKytDmzZtMHPmTAwcWFObe8uWLVi5ciUKCgqwb98+9O/fP6lz9Dmx8d577+HEiRP43e9+51/Gn/HTi7KyMrz//vs4fvw4pk6dil69evmjm/hzfXqgaRoWLVqE8vJymM1mHDlyBD169MDEiRMD1uPPdsukvLwcixYtQkZGBi644IKAz2J5hvl153A4ESFOo/L111/T3LlzyW63ExHRyZMn6eqrr6bt27c3c8s4DeHVV1+l119/nX744Qf67LPP6Prrr6dLL72Utm7dSkREGzdupKuvvppKSkqIiMhut9ONN95I3333XXM2m9NAdu3aRVdccQU9++yz/mX8GT+92L17N91www20YMECUlU14DP+XJ8+vPvuu/TYY4/5/+12u+mWW26hNWvW+JfxZ7tl8vPPP9PTTz9NM2fOpHfffTfgs1ieYX7dORxONJrdROx0xm63Y/78+Rg9ejSMRiMAICsrC/3798crr7zSzK3j1JfS0lIoioKrr74aQ4cOxZQpU/CHP/wBRITly5dD0zS88sorGDBggL8uudFoxJgxY/Daa6/B7XY38zfg1Aen04kvvvgCnTt39i/jz/jpxcmTJ/HII4/grLPOwhVXXAFBqPmJ5M/16cVPP/2E3Nxc/78lSULHjh2xdetWAPzZbsn0798fM2fODFoeyzPMrzuHw4kFLqAbkU2bNqG6uhpdu3YNWN6lSxfs378fBw8ebKaWcRrCqVOnMH369IBlnTt3htVqRXV1Nfbt24djx46hS5cuAet06dIFp06dwubNm5uyuZwE8e6772LGjBkBooo/46cXCxYsQFVVFWbNmhX0GX+uTy9SU1Pxww8/oKqqCgBARDhw4AA6duwIgD/bLZ3a72kfsTzD/LpzOJxY4AK6Edm3bx8AIDs7O2B5Tk4OAGDPnj1N3iZOw+nQoQMsFkvQcrfbjW7duvHrfhqyYcMG5OXlIT8/P2A5v9anDzabDWvWrEF2djY+/fRTPPjgg5gzZw4effRRFBcX82t9mnHZZZehoqICDz74IHbv3o158+ZhxIgROPvsswHwZ/t0JJZryq87h8OJBS6gG5HKykoA8IcB+fD9+9SpU03eJk7jsHPnThgMBkyYMMF/3U0mU8A6vuteXl7e1M3jNIDKykqsWbMmyFzI9xnAn/HTgd27d0NVVbRp0wazZs3C3/72Nzz++OM4dOgQHnvsMf9zy5/r04OuXbvigQceQHl5Of74xz/C4XBgxowZfqd1/myffsTy28yvO4fDiQUuoBsRSZIAIKj0ie/fvs85LZ+PP/4YN910E6xWq9+tl1/304MFCxbg8ssvD/kZf8ZPHyoqKgAAEyZMgMFgAAC0atUK06dPx6FDh/zr8Wt9+nD8+HEMHjwYPXr0wMqVK/Hwww/D4XAA4M/26Ugsv838unM4nFjgAroRSU9PBwD/D7IP3799Jhacls0XX3yB3r17Y/DgwQD4dT+dWLFiBc4666yw14xf69MHq9UKIDh30pcT61vOr/XpwZdffomvv/4aN954I/7617/ikksuwdatW7FgwQIA/Nk+HYnlmvLrzuFwYoEPpTUivo5XSUkJCgsL/ctPnjwJAGjfvn1zNIuTQNauXQu73Y6LLrrIv6xDhw4Aaq6zD37dWx7ffvstdu/ejRdeeMG/zOVyYceOHfjhhx/8150/4y2f1q1bAwgO0TSbzQH/5c/16cGHH36I6dOn+wdGLr30Uhw5cgSrV6/Gddddx3+/T0Pi+W3m153D4USCC+hGpHfv3khJScGuXbswYMAA//Jdu3ahU6dO/g4bp2WyadMmHDx4EJdccknAco/Hg8LCQuzevTtg+a5du5Ceno4+ffo0ZTM5DeDWW2+Fy+UKWPb0008jMzMTs2fPhslkwuLFi/kzfhrQqlUrdO3aFb/88gsmTJjgX15aWgoA6NGjB3+uTyM8Hg80TQtY1rNnT2zbtg0A//0+HWnTpk3UZ5iI+HXncDhR4SHcjYgoipgxYwZWrlzp74SXlZVh3bp1QaKL07LYvn07PvjgA7Rt2xY//PADfvjhB6xZswavvfYaysrKMHPmTPz0009+YyGHw4GVK1fi4osvDlleg5OcZGZmIi8vL+BPURSYTCbk5eUhLS2NP+OnETNnzsS6detw/Phx/7Jvv/0Wo0aNQmFhIX+uTyNGjx6NNWvWBIjoXbt2YfTo0QD473dLx+PxANDLk9Um2jPMrzuHw4kFRnXfLpyE8+WXX2LHjh1o164d9uzZg1GjRmHIkCHN3SxOPdm/fz8efPBB2O32oM9ycnLwzDPPQBAEv7Du0KEDDhw4gJ49e+Kcc85phhZzEslf//pX5OTk4He/+51/GX/GTx/Wrl2LZcuWoUOHDrDZbDAajbjsssv8BkT8uT498Hg8+OSTT3DgwAG0adMGDocDKSkpmD59eoBRFH+2Wx5btmzB0qVLsXbtWrRp0wYzZszAgAED/GkYsTzD/LpzOJxIcAHN4XA4HA6Hw+FwOBxODPCYMw6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOh8PhcDgcDofD4XBigAtoDofD4XA4HA6Hw+FwYoALaA6Hw+FwOBwOh8PhcGKAC2gOhxMVm82GwYMHo0uXLigqKmrQvux2O5YtW4a7774bXbp0wcGDBwM+LyoqQteuXTF48GDYbLYGHSsaRIRp06YhPz8fW7ZsadRjNSXr16/Hvn37mrsZHA6Hw+FwOKcdXEBzOJyobN26FevWrcPu3bvx3Xff1Xs/Ho8H//73v/Hkk0/iiSeewO7du6FpWsA63333HXbt2oV169Zh27ZtDW16REpKSvDZZ5+hqKgIS5cubdRjhYOI8OKLL2LIkCGwWq0wmUzo168fnnjiCXg8nojb9e7dG4yxoL8ZM2agsLAw4nG3bduGDh06BG3bv39/PProoyG3eeCBB9CrVy//upmZmfjggw8a9P05HA6Hw+FwWhKMiKi5G8HhhOP48ePIzc1t7mYkjER/n6Y6Px6PB7Nnz0ZlZSXefvttpKamNmh/ZWVlyMzMBADs27cP7du3939WXl6OK664ApmZmXj99dchSVKDjhWN2267DZs3b8Ybb7yBdu3aBX3e2Of4qquuwptvvglZlgEAbrfb/9nEiROxaNEi/2e1+eyzzzBt2rSQ+/zPf/6DO+64I+qxiQj33HMPnnjiCQBAv379sGHDhojbnDp1Cunp6ejduzdWrVqFtLS0qMdJJvg7hRMv/BxzOBwOpzZ8BpqTtFRWVmLWrFnN3YyEcfjwYdx8880J219Tnh9JkvDOO+9g8eLFDRbPAJCRkRH2s/T0dCxZsgRvvfVWo4tnAHj66aexYsWKkOK5sc/x66+/jvXr12PFihWw2+2w2WxYu3YtRo4cCQD48ssv8dxzz4Xc9tFHH8XLL7+MsrKygL+KioqYxDMAMMbwj3/8wz9bvXXrVpw8eTLiNsXFxQCAJ598ssWJ5w0bNuDBBx9s7mYkjMWLF+PFF19s7mac1iT6vc3hcDiclg8X0Jyk5Te/+Q12797d3M1ICC6XC5dffjlKSkoSts/T6fwkK419jp966iksXboUY8eOhSiKkCQJgwcPxhdffOEXtaFCpFeuXImioiLMmTMH6enpAX8pKSlxtcFgMOAPf/gDAH32+3//+1/E9T/44AP06dMH55xzTlzHaW7Ky8tx2WWXweFwNHdTEsKBAwcwZ86coBQITuJojPc2h8PhcFo+XEBzkg5N03DHHXfg/fffb+6mJASHw4FZs2bh+++/T8j+TrfzE4lwGSaNkXlSe59NcY63bNmCqVOnoqCgIOgzq9WKyy+/HABCzgg/+uijsNvtuPHGGzFv3jwcOnSoQW259tpr0apVKwDAM888A5fLFXI9TdPw0ksv4be//W2DjtfUlJeXY9q0adi1a1dzNyUhHD58GJMmTYoaLcCpP4l+b3M4HA7n9IELaE7S8dJLL2HFihUAdEfms88+G2effTbmz5/vX6eyshKPPPIIRo4ciXPOOQcFBQUYNmwYFi5cGLS/srIyPPnkk7jssssAAK+++iry8/PRoUMH7N27178eEeGpp57CyJEjMWLECHTt2hUPPPAADh8+HLat27Ztw7XXXovJkyejoKAA3bp1wyOPPBJg/vToo4/6HZ43btzo/z7Lli1rlPOjaRqWLFmCyZMnY9u2bdi1axdGjhwJq9UaEA68adMmXHPNNRg7dixGjBiB1q1b48orrwwpxlwuFz755BPMnDkTa9asqVe7Y2X//v14/PHHMWDAAKxcudK/fOnSpfj973+PESNGICUlBRUVFXjqqadw+eWXY8SIEUhNTcUFF1yAw4cPw+VyYd68ebj99tvRp08fpKen4/bbbw+arSsvL8err76K888/H//85z/9y2O5BxtKt27dcP/994f93DcD3aFDh4DlmzZtwpIlS3Ds2DG88soruP7669GuXTtMmDABW7durVdbjEYjbr/9dgDAsWPHwn7Pzz//HCUlJZg9e3bIzxP1XP7888/Iycnxm5XJsowhQ4YEbH/55ZdDFEUwxnDfffdF/H733Xef3+39iy++8F/P2s7re/fuxS233IJRo0ZhzJgxaN26NaZNmxbynO7Zswd33XUX/vGPf0BVVdx+++1IS0vD+PHjA579iooK3H777Rg5ciT69u2LIUOG4Pnnn0dVVVXYti5atAgzZ87EhAkTkJubi2HDhgVEIXg8Htx5550oLS0FALz22mv+73PixImI5yESTqcTH330EW677TYA+rUePnw4zGYz2rVrhz//+c9wOp1B29lsNjz00EOYPn06BgwYgNzcXFx55ZXYv39/0LrfffcdLr/8cixduhTFxcWYNGkSrFZr0HOwYsUKTJs2DePGjcOwYcMwYMAAPPvsswH+AD5ieQcXFxdj/vz5mD17NnJzc1FdXY2vvvoK48ePh9VqRX5+fpBxXizv7ePHj+P+++/HiBEjMG7cOLRp0wYTJkyIaLS4dOlSjB8/HqNHj0bHjh1x3XXXYf369WHXLykpwT333INp06ahZ8+eaN26NebOncsHTzgcDqc5IQ4nCVm+fDkBoMLCwqDPqqurqVevXpSVlUXHjh0jIqKKigoaMGAAMcZoyZIlRETk8XjozjvvpMzMTAJAAwcOpA8++IBatWpFAAgAvfjii/793njjjdSlSxcqKysjIqJPPvmEABBjjPr06UNjx46lZ555xr/+559/Tr169aK9e/cSEZHL5aIZM2YQALrwwgtJ0zT/uq+++ioBoLFjxzbq+XnnnXdoyJAh/u/37bffUvfu3clqtRIAGj58OBERffnllyTLMl111VX+dq5cuZJEUaSOHTuSzWbz7/P555+ns846y7/P5cuXJ+Q7+Pa3b98+/7Inn3ySzj333LDH2rx5s/+ziy++mH766Sf/Z3/+858JAA0YMIBmz55Nhw4dIiIiTdNo9uzZBICeeuop//qfffYZzZo1i2RZJgD04IMPBhwr0j3YFPzlL38hAPTSSy8FLN+zZw/973//o7///e80ZcoUMhqN/nNiMBjoiy++qNfxysrKKCUlhQBQ9+7dA+5fH+effz799re/Dbl9op/LY8eOUVZWFgGgOXPmhDzmBRdcQDfddFNM3+/BBx8kAHTNNdcEfbZ582ZKSUmhcePGkcvlIiKiX3/9laxWK2VkZPi/z549e+iaa64hURQJAN1111106623Uk5Ojr/tO3bs8J+P/v3706WXXuo/l3feeScBIEVRaPjw4TR27FhatWqVvx1/+ctfaMqUKVRdXU1ERMeOHaOuXbsSAHryyScD2nzNNdeEvG/rw+9+9ztKT0/33+/PPvssybJM7dq1I4PB4P9u06ZNC9iupKSE+vfvT6+//rp/2YcffkgAKCsri3bt2kVERMuWLaNzzjnHv58PP/yQhg0b5j9mfn5+wDno2bMn7dy507/soosuCnn8WN/BO3bs8L+DfdftlltuobVr19L7779P2dnZBIAWL14csP9I7+2jR49S69atqXv37lRRUUFEREVFRdS2bVtSFIU2bdoUtM2bb75JiqLQxo0biUi/n3zPQWFhIY0dO5Z+85vf+Nfft28fde3alZYtW+Zf9sQTTxAA6tSpE504cSLoGBwOh8NpfLiA5iQlkcSLr4NWUFAQsPw///kPAaDLLrssYPlrr71GAKhdu3Z07733kqqqNH/+fBo+fLi/s/vVV18RAHrooYcCth0zZgwBoDvuuCNg+dGjRyk9PZ0++uijgOW//PKLv5P2+eef+5c3lYAmIrLZbGQ2m/2dyIMHD9LevXvp3HPPpaeffpqIiKZOnUoA6M9//nPAtn379iUAfrHjo6qqyi/UGlNAE+mCNy0tLeSxPB6Pf7tffvkl4LO9e/f6P6vbeV2xYgUBoGHDhgW1w3cu4hHQPvFSn79QAi4U48ePp9atW1NVVVXE9U6ePEn33XcfSZJEAMhisfiFS7zcfffd/nZ++umnAZ/t2bOHBEGgzZs3h9y2MZ5L3yBCYWEhqaoasL3T6aSMjIyg+yAckQT0rbfeSgDoqquuClg+ffp0AkDPP/98wPI5c+YQAOrXrx+98cYb5PF46N5776VJkyb5BfgDDzxAAGjlypX+7SorK/3P5ieffBKwz8WLF5PBYPCLdR/PPvssASCTyUQlJSX+5YkU0G632y/MjEYj3XjjjVRcXExEukieMmWK/75YsGCBf7tLL700SNQSEQ0aNIgA0KWXXupfpqoqdezYkQDQ2WefTZs2baITJ07QxRdfTPfddx8REb388svEGKP169cH7O+jjz7yH98nGuN9BzudTv/yefPmBWzz2GOPEQC66KKLApZHem/7ztfo0aMDlt9+++0EgP7whz8ELC8tLaWUlBQaP358wHLfPd6vX7+A5Zqm0dChQ+m2224LWK6qKuXm5hIAuvfee4PaxeFwOJzGh4dwc1oc/fr1Q9euXXH++ecHLE9PTwcQnDPqc1cuLS3FQw89BEEQMHv2bKxevRpdu3YFALz99tsAgLy8vIBtfXmoq1evDlj+zDPPoLq6OqgNvXr18jtMf/rpp/X9ig3CZDIhOzsbAHDJJZegoKAAHTp0wJdffolbb70VAHD++eejoKAAw4cPD9g23Dm0WCz+HNnGhjHmb0ddRFEMaFNt2rRp4///uk7h+fn5AIDt27cH7dNXTise8vPz0a1bt3r9+doSiT179mD58uV44YUXgr5nXbKysvDII4/g66+/hsViQXV1dUA4ejzceeedUBQFAPD4448HfPb8889j+PDh6N27d8htG+O5vOWWW2A0GnHgwAEsWrQoYPulS5eiXbt26NWrV72+a20mTJiAtm3bYuzYsXG1PTs7G1dddRVEUcRjjz2Gzz//3F9yLNQ7xWq1YsqUKQCC3ykPP/wwBg0aFPQOGj16NADAbrfjyy+/bMjXDIskSejXrx8AICUlBS+88AJycnIA6M/H22+/7T8Xr7zyCgBgx44deP/99zF16tSg/fnaXPsdKAgC2rZtCwA455xz0KdPH2RnZ+PDDz/EI488ApfLhfvuuw9jxozBgAEDAvY3depU3H777XjwwQf977Z438G++xoAxo8fH7CN756undITjZEjR6KwsDDITC/cPbN48WJUVlaG/Y3ZuHEjbDabf/myZcvw448/Bp1fQRAwYsSIoO/H4XA4nKaj8WvEcDgJpmPHjtixY4f/3y6XC59++ikWLFgAAAG5b4AuyABdaBgMhpD79OVH+vIKfZx11lkA9FzZ2ixevBiCIGDSpElB+8rOzkZqamrIfL2mwveda4vK2tx8880BpVmOHj2KN9980+84Xfcc1t5nslK7gxzus4qKioQc65FHHsEjjzySkH2F4o477sD9998fUpyEY8yYMXjooYdw1113YdWqVfU6buvWrXHVVVdh3rx5+P7777FmzRoMHz4cDocDr7zyCp5++umw2zbGc5mTk4Orr74aL730Ep566qmAutfvvPNO2FzseJk+fTqmT5/u/3dpaSneeust/PjjjxHbHu75AiK/U957772Ad0ppaSl++OEHtGrVCmeffXbA+pqm+fPhKysr4/ticSAI+ni62WwOetatVivmzJmD//u//8PPP/8MQM+RJiI8++yzePPNNwPWr6io8Le5rKzML2gjnbdvv/0WJ0+eRM+ePYM+kyQJ//d//xewLJHvYJPJBECvcR4rQ4cODcjzrq6uxnvvvYclS5YACL5nwt0P3bp1gyRJ8Hg8OHXqFMxmMwD9+wHAAw88gIcffjhgm9LSUhQWFgYMKHI4HA6n6eACmtNiKS8vxzPPPIOioiLMmjULV155Zb2NuXyzGjt37gxY7pt1rdvh27NnDzIzM/1GUy2VDRs24IUXXkBhYSGuu+46fP755zhy5EhzN6vRoEZw7040Tz75JDIzM/GPf/wj7m2vvfZa3HPPPRGN76Jx77334tVXX4WmaXj88cfx8ccf45133oEgCLjkkkuibp/I5xIA7rrrLrz88sv45ptv8Msvv+Css86CzWbDokWL8K9//ave+w3F7t278fTTTyM1NdVv7vTrr7/Wa1/Z2dk4duwYdu7ciaFDh/qXh3qn7N27F0SE8ePH+wccko0+ffoAqBHxe/bsAaBHKkycOLHB+/dFh0SqEV+bxngH1+f9cOzYMTz11FNwu92YM2cOJk2ahLVr1watF+43RhAEZGdno6ysDFlZWf7lvvP7xhtv+CMyOBwOh5Mc8BBuTovkk08+Qbdu3dCzZ0/897//9Ye01RffzNbHH38cUCfW50h98cUXB6zvcrlQVlbWYmuwulwu3HzzzZg9ezb++te/4o9//GNQaCGn6Xn//ffx008/+cNk4yUjI8M/+1ZfunbtigsvvBAAsHDhQuzcuRP//e9/cd1114WdKfaR6OfS1x7fTLxvBnzRokUYNGgQWrdu3eD9A7pw+tvf/oZx48bh5ptvxsMPP4yOHTs2aJ++d4ovlNvHoUOHwBjzn2MA/rJhyeys7Es98AncRLfZ50wea0m2ZHgHv/jii+jbty+mTp2KJ554Imx6AwBMmjQJkiRh7969AQLbbrejpKQEU6ZMCYiiaQn3BIfD4ZypcAHNaXF8/fXXmDFjBiZOnIgZM2YkZJ+XX345rr/+epSVleGWW26By+WCzWbDP/7xD0yePBk33XRTwPqtWrWCw+HAunXrwu7z6NGjSdv5ueGGG/D888/j6aefjiknlxPI/fffj+7du9frL1zpqoULF+KDDz7A/Pnz6x2aSURwOBwNzgv+wx/+AEAPH54zZw7Wr18f9AzUpTGeSx933303AOCtt95CaWlpQsO3AeCvf/2r/6979+4J2edjjz2GAQMGYMmSJZg3bx4AYN++fZg3bx7+/ve/+2d0gZpZ6XXr1gUM4NVly5YtzRZF4Qs97t+/P4CaNkcq2QQAmzdvjmn/vpzrZcuWhUwhAfT721eqq7nfwa+++irmzp2Lm266CSNHjoy6fkFBAV566SVIkoSbb74ZxcXF/oGbtm3bBoWox3J+PR4Ptm3b1qDvweFwOJz44QKak5T48vFCzS48+uij0DQNnTt3DljuyymsbwfzpZdewvnnn48NGzZgxIgRmDx5MmbMmIGFCxf6jYF8+My37r///pBttNlsuOqqq/wzdpG+T31oyP4OHz7sr/Ob6HN4OhHpHB87dgw7duyo19+xY8eC9rdkyRK8/vrrmD9/PiQpOLNm+fLlMeVn/vjjj6ioqGiwuBwyZAjGjRsHAFizZg3OO++8qDOyjfVcAsCoUaMwdOhQ2Gw2PPHEE1i+fHncIj3c9XS5XPj3v/8NILHPQ1paGpYuXYqOHTvixRdfxLBhw3DzzTfj1VdfxZ/+9KeAdTt16oScnByUlZUF1SP2sWPHDjz44IP+POJEv1Oi4ctv95le+d6Br776akhzPkAP796wYUNM+x81ahQAve76E088EXKdRx55xJ9iEu87uD5EOsc+o7547plrr70Wf/vb31BZWYnzzz8fo0ePhqqqWL9+vd9gzYfv+z3xxBMoLi4O2b7bbrutQbW/ORwOh1M/uIDmJCU+Z+SSkhKoqgqgphPjEyCffPKJX1Rs374dr7/+OgBg//79UFUVJSUlAduFm9UAdKObqVOn4p577sGaNWvwww8/4KuvvsLcuXP9naja+GbjvvnmG8ycOTMg53TTpk04++yzMWnSJKSkpAR8n+PHj/vXa0jHN9L5qf3/ob5zUVGRv3P32muv+dd/5ZVX/CZiu3fvhqqqcZnqxIPT6fT/v6/9tfGZ/9Q1AYpkClR7P3Vn8WpvV7djG+5Ykc7xa6+9BtLLAMb95zvnPpYtW4YXX3wRCxYsCDJCU1UV3377Lf71r38hLS0Ndrsdjz/+OF5++eUAx15f+++++26MGzcOc+bMCXueYsU3Cw0Av/3tb6Ou3xjPZW3uueceALpQP/fcc+MOUw/3DFZUVPjP5fz58/3tWrRokX/2z/dc+GZhY2n7pk2bMHv2bHz55ZdYvXo1vvvuO3z22Wc499xzg9ZljPnfKQ899BD+9re/+UOaiQgLFy7EuHHjAq5Jot8pPmo/mz7cbjdeeeUV9O3bF7NmzQIAnHfeeWjfvj0cDgcmTpyIZcuW+Z+t8vJy/OEPf8Dbb78dMJgT6bz16NHDn0v9xz/+EQ8//LDf9O/UqVP44x//iGPHjvndwuN9B0c6N75w6bpEOse++/2dd97xv2/WrFnjd8b23TO17/d7770XgiBg06ZNWLt2LVasWIFHHnkEaWlpQce+4oorkJqaiuLiYkyYMAE//fST/7Njx47hmmuuwcGDB4Oc4zkcDofTBDR+pSwOJ34cDgdlZmYSAPr73/9Oy5cvpxtuuIE8Hg/dcMMN/nqeZrOZCgoKqFOnTvTJJ5/4l7dq1YruuusuIiL617/+RQBIFEXavXt3yOPVrn9b989kMtHZZ59NW7ZsCdjGVzsWADHGqF27dpSdnU0A6MorryRN0/zrHj161F+nd968ebRkyRK68847G+X8HD58mBRFCVsjtrKykjIyMvxtz83NpYyMDJo7dy7dfPPNBIAkSaJWrVrRzz//7N+usLAwYXWgP//8c//xP/7444DPioqKSBRFAkCPPfZYwGc//vijf7tly5YFfPbrr7/6P3vttdcCPluwYIH/M1+NYSK9pmqfPn0IAE2ePDngmkU6x4nim2++IZPJRIIgkCiKQX+MMQJAL730EhERrVy50v89CgsL6aOPPiKXy0V79+6lSZMm0bRp06LWjY6Hfv36UUFBQUzfuTGey9p4PB7/PVi3RnUsrF271l/n+JNPPqH33nvPX/e9S5cu/jZmZWVRq1ataMqUKfTPf/7T/3zn5ubSp59+Sqqq0rRp0wgAdevWjRwOR8jj+Wohh/rLzMykq666KqCus81moyFDhvjXMRgM1KFDB7JarcQYC6pF/d577xEAysnJoa+//ppeeukleuGFF+I+Lz58dc8B0H333UfV1dVERORyuejGG2+kgoKCoOu0cuVKf11r3/dq164dSZJEbdu2DVi/oqKC8vPzCQDNmTMnZBsOHjxI7dq18+9PkiTKzs4mQRBozJgxZLfbA9aP5x28f/9+/7q132tERM899xwBoJSUlIB7PdJ7+9xzz/XvLzU1lVq3bk2DBw+mV155xb88Ly+PnnrqKSIiWrRoUdj7QRRF6tmzZ1BN63fffdf/LvQ9P23atCFBEKh3797+mtgcDofDaVq4gOYkLe+99x61bt2a0tPT6ZprrvF3NktKSujSSy+l1NRUatWqFc2dO9f/2UUXXUQWi4XmzJlDR48epe7duwd0VIxGIw0cODCg4+rb58SJE2n8+PHUs2dPyszMJKPRGLBt27ZtqbKyMmC7V155hQYNGkQmk4nMZjMNHz6cXn/99ZDf56mnnqLs7GzKycmhO+64g2w2W8LPz+233x7U7i5dutD8+fMDtl2+fDn17duXjEYj9erVi15++WUiItq2bRsVFBRQmzZt6M033wzYJlECetiwYQGdQlmWaeDAgVRZWUmjRo2itLS0gPb37duXjh49SrNmzQrorBuNRpo4cSIREc2ZM4fS09MDOqSDBw8mIqLLLrss4Hipqal0/fXX0x133EFt27YNOFZhYSF9/vnnEc9xotiwYQNZLJawnWrfX0pKiv++U1WV/vnPf1LPnj3JZDKRoijUsWNHuuyyy2jx4sUJa5uPt99+m/7+97/HtG5jPJd1uf/++ykzM5NcLle9vs+9995LaWlp1KZNG/r73//uF0ubNm2ikSNHkslkok6dOtFjjz1GHo+HioqKqGfPnpSVlUVPPPEEffPNN34RWFs0XnrppUHH2rZtG3Xv3p3OPfdc6tixI6WlpZEsywHbTp8+PWCbqqoqeuCBB6hz584kyzJlZGTQ1KlT6bvvvgvav9vtpmuuuYasVit16tSJnnvuuXqdEx8+AV1YWEj//e9/qV+/fjRq1CgaNGgQ3X777XTy5MmQ223evJlmzJhBWVlZJMsydejQge68886A9R9//HGyWq1Bz9rjjz8etL+ioiKaO3cu5efnkyzL1KVLF/rnP/9JTqcz5PFjeQcvWbKEhg0b5j92v3796H//+x8REf373//2i24ANHXqVPrpp5/824Z7b+/fv5/OP/98slgs1LZtW7rvvvvIZrOR3W6nkSNHUkpKCt1zzz2kqioR6dfrvvvuo/79+9PAgQMpJyeHzGYzCYIQ8N5at25dQNtXrVpF559/PqWlpZGiKNS9e3f661//6h/g4HA4HE7Tw4iSI9mxvLwcixYtQkZGBi644IKI69rtdrz77ruwWq1wu904efIkrr766pBhUBxOLLz++utYsmQJ3nnnnYDlRITq6mr88ssv+M1vfoP//Oc/CSnZ0hJp3749Dhw4gO+++y4m0xwOJ9HMnTsXjDE8//zzzd2UiBAR5s6di969e+OWW24J+EzTNJSVlWHFihW4/vrrcfToUX8d4uZkxYoVGDduHAoLCwPqG3MSw4YNGzB37lx8/fXXsFqtAZ85HA4cOHAADzzwALp06eLPr+ZwOBxOcpIUOdAbNmzA/PnzsXDhQlRXV0dcV1VVPP7442CM4ZJLLsEVV1yBDh064OGHH46YH8nhhOObb77BDTfcgMcffzzoM8YYrFYrhg0bhrlz5/rzEs9k0tPTm7sJnDMQj8eDTz75JCH53Y3NQw89hBUrVuDmm28O+kwQBGRlZWHGjBkYP3487HZ7M7SQ05QUFxdj0qRJuPXWW4PEMwAYjUZ069YNf/nLX/hvDIfD4bQAgu1em4H+/fsjPz8fq1atirru999/j61bt+KGG27wLxs/fjzeeustLFu2DJMnT27MpnJOQx5++GFkZWWhXbt2EdcrLi7GlVdemdBjn3322XFvs2LFioS2IVZcLhdkWfa7zr722mtBhljRmDNnTosQQJzkY968eWjdujWGDh3a3E2JiNPpxGOPPYbp06eHNCCsTW5urt+oKhFs3LgRd9xxR1zb9OvXL6iEEiexvPDCCzh+/DgGDx4ccb39+/dj0qRJTdQqDofD4dSXpBDQAKJ2NHysXr0aFosFrVu39i8zm81o27YtVq5cyQU0J27KyspQVFSE77//Pmxo8ooVK9CtWzdkZWUl9NjNJYajYbfb8dZbb2Hq1KnIzc0FEaG0tBSTJ0/2l4XhYpjTmLz99tv44IMPMGHCBOTl5eHuu+/GG2+80dzNiorNZoPT6cS3336LkpKSsO+M//73vwEDwYmgX79+9X6n+JzmQ7lwcxpGWVkZAODDDz/EH//4x5DrHDp0CD///DMefPDBpmwah8PhcOpB0gjoWNm3bx+ys7ODlufk5GDDhg3weDwh66hyOOH485//jMsuuwwTJ07E9ddfj8mTJyMvLw/l5eXYv38/Pv/8c1x88cUNrq3bknjvvfdwww03oFu3bvj666+xf/9+yLKMf/zjH83dNM4Zwj/+8Q9s3boVH330EQDgwgsvxEUXXdTMrYpORkYG7rjjDjz55JPo168ffve732HYsGHIzMxEUVERtm/fju+++w5//OMf0b9//+Zurp9NmzYB0CNt9u/fj/bt2zdvg04jbrnlFrz11lv405/+hJ9//hlXXnkl2rdvD5fLhcOHD2Pp0qVo27ZtUH1wDofD4SQnLU5pVlZWIjc3N2i50WiEqqqoqqoKytH86quv8NVXXwHQa4hyOLW5+OKLsW7dOvznP//BZ599hhdffBFmsxndu3fHBRdcgOeeey7hM8/JztSpUzFt2jR8/fXX6NevH4YPH46VK1eiV69ezd00zhnCnXfe6a/9PGvWLPzrX/9q5hbFzhNPPIFx48bhueeewzPPPIO//OUvyMzMxIABAzBz5kwsWLAAsiw3dzMBANXV1RgzZgw2bNgAQDc56927N3r16oW3334bHTp0aOYWtnw6deqEzZs345lnnsEnn3yCq6++GowxFBYWYvz48bjrrrvQvXv35m4mh8PhcGIkaVy4i4uLccstt+CSSy7BpZdeGna9a665Bu3bt8ff/va3gOXPPPMMVq1ahVdeeSWkSUdtjh49mpA2x0t2djZOnjzZLMfmNC38Wp858Gt95sCv9ZkDv9ZnDo19rWunHHI4nNODpHDhjof09HQ4HI6g5Q6HA4qiRBXPHA6Hw+FwOBwOh8Ph1IcWJ6A7dOgQcqTw5MmTKCwsbIYWcTgcDofD4XA4HA7nTKDFCegRI0agsrISx48f9y9zOBw4dOgQxowZ04wt43A4HA6Hw+FwOBzO6cz/s3fe8VXV9/9/nXvuyF5kMEIIIYQ9w94g0qICWkoFESwidXRYsUVBrKitStX6q8WFaLV8KxShyCgqIDIEgbBnSAhZZEBCBll3nHM+vz9uzuHue25ys+D9fDzySHLuGZ+zPvfz+rxXqxHQgiAAABxDsvfv34/f/e53uHr1KgAgNTUV3bp1w65du5R19uzZg6ioKBLQBEEQBEEQBEEQRJPRKrJwnz17Ft9++y0A4PDhw+jUqRMGDx6MoKAg1NTU4ObNm0ptSp7n8cILL2Dt2rX44osvoNVqUVhYiBUrViAwMLAlT4MgCIIgCIIgCIK4jWk1WbibE8rCTTQ1dK/vHOhe3znQvb5zoHt950BZuAmC8JVW48JNEARBEARBEARBEK0ZEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRAEQRAEoQIS0ARBEARBEARBEAShAhLQBEEQBEEQBEEQBKECEtAEQRAEQRBEk8IYa+kmEARB+AVtSzcAAA4dOoSzZ8+iQ4cOuHz5MiZNmoSBAwe6Xf/ixYvYt28f2rdvj8rKStTU1GDevHkIDQ1tvkYTBEEQBEEQqrBYLNBqtdBoyHZDEETbpsV7sT179mDt2rV45JFHMH36dDzyyCN45513kJ6e7nL9q1ev4o033sCcOXNw//3345FHHkF0dDTee++9Zm45QRAEQRAE4Q3GGCwWCwRBaOmmEARBNJoWFdB1dXVYu3Ytxo4di4CAAABAu3btMGjQIHz66acutzl9+jQ0Gg3Cw8OVZd27d8f58+ebpc0EQRAEQRCEesxmMxhjJKAJgrgtaFEBffr0adTU1CAlJcVueffu3ZGTk4O8vDynbcLCwlBTU4PDhw8ry7Kzs5GUlNTk7SUIgiAIgiDUI0mSIpwlSYIoii3cIoIgiMbRojHQ2dnZAIDo6Gi75TExMQCArKwsJCQk2H02YsQIfPPNN/jHP/6BmzdvIjIyEhcvXsTTTz/dPI0mCIIgCIIgVGGxWOwSiAmCAJ7nW7BFBEEQjaNFBXRVVRUAKO7bMvL/lZWVTtvodDq88MIL+Nvf/oY1a9YgMjISr776KqKiotweZ/fu3di9ezcA4I033nAS7M2FVqttsWMTzQvd6zsHutd3DnSv7xzoXvsHSZJQU1NjJ6A1Gg1CQkJasFX20L0mCMJXWlRAa7XWw3McZ7dc/l/+3JHKykoEBATgvvvuw9dff43nnnsOzz//PHr06OFy/cmTJ2Py5MnK/6Wlpf5ovs9ER0e32LGJ5oXu9Z0D3es7B7rXdw50r/2DyWSCxWJxWl5TU9NqrNBNfa87duzYZPsmCKJlaNEY6IiICACA0Wi0Wy7/78qqXFJSgpdeegmzZ8/G/Pnz8corr0Cr1eKtt96CyWRq8jYTBEEQBEEQnpEkyaV4BkDJxAiCaNO0qICWE3/duHHDbrk8E5iYmOi0ze7duxEREYH4+HgA1oRjTz31FCorKykTN0EQBEEQRCvAbDa7/YwSiREE0ZZpUQHdr18/hIaGIjMz0255ZmYmunXr5tLtxWKxQJIku2W9e/cGYI2rIQiCIAiCIFoOURQ9WpkpGzdBEG2ZFlWcPM9j5syZ2L9/vzJTWV5ejmPHjuHnP/85AOCTTz7B8uXLlY541KhRKCoqQk5OjrKfzMxMxMTEuI2BJgiCIAiCIPyHyWSC0WiExWJxEsPuXLdtITdugiDaKi2aRAwA7rnnHmi1Wnz00UdISEhAVlYWfvOb3yA1NRWANWFYZWUlRFGEVqtFcnIynnvuOaxbtw7x8fEIDAxESUkJXnzxRQQGBrbw2RAEQRAEQdzeyLWdGWOKEOY4DhqNBhqNRpU4FgQBBoOhqZtKEAThdzhmW1vgDqGwsLBFjktZPe8c6F7fOdC9vnOge33nQPfaM+6ya/tKQECA24orzQVl4SYIwlcoaJggCIIgCIJQhafs2r5CcdAEQbRFSEATBEEQBEEQqvCUXdtXZDdwgiCItgQJaIIgCIIgCMIrcuyzv2CMkRWaIIg2BwlogiAIgmggZrOZBADRYgiC4FTasynxp/VZhrJxEwTR1mjxLNwEQRAE0RYRBAFmsxlarRY8z7d0c4g7CMYYzGYzLBYLOI6DXq+HTqdr0mP62/osI4oiGGPgOM7v+yYIgmgKSEATBEEQtxWSxCBJ1t8aDQet1v8Dc1EUYTKZANyyAmo05NRFND2SJMFkMimeD4wx5X+DweCzEJXFuCiK0Ov1brNiN4X1WT6+JEk0CUUQRJuBBDRBEATR5hEEBkm0CmdbmMT8LqBlwWKb/MhisVBNW6LJEQTB6dmz/UySJI8i2BF5Ikh2AzcajdDpdNDr9XZCXBTFJnW1FkWRBDRBEG0Gmi4nCIIgXGIRmy+2sjEwxiBYnMWz9TOriPbnsYxGo1PcKWUTJpoSedLGaDR6fM4kSYLRaLQTxe4wm80un2WLxYK6ujq75f4qW+UOyiNAEERbgizQBEEQhBOCxGCRGHRtwCjkbewtioDWT9PF7pKGMcZgsVig1+v9cyCCsEEQBJ9ErMVigcVigUajgUajAc/z4HkeGo3GyQXcFZIkoa6uDnq9HhqNpskTfTVnIjSCIIjGQgKaIAiCcEKQGASRAU2bl8gviKJny68oMWjReDduOWmTOywWC3Q6HSVDIvxOQy20kiTZJf+Sn0013hKy1bs5nme5nBW5cRME0RYgF26CIAjCCUFkENqARzKTGJgX4xWT1AkGT4iiCKPR6Pk4jFFJHqJJ8JeFljHm87vQXKEJ5MZNEERbgQQ0QRAE4YQgWQfagh/jh5sCtWPuxozNZUucGpo6VpS485CtyLc7d8I5EgRxe0ACmiAIgrBDlBjEeqtT6xfQ6tonqVzPFWazWfXgvqlq5RJ3LneKsCQLNEEQbQUS0ARBELcRck1VVz9qsRXNQiOEZ1MjSQxqvUulBrpx+5q8CSArNOFf7hRhKcdBEwRBtHYoiRhBEMRthMVigdlsdvlZQECAqvqwdgK6FZdmknwca0siwPvwreeL67YtoihSQqQ2gCQxaDStP+HbnWKBBqznSu8NQRCtHbJAEwRB3EZ4suCYzWZVVlhbAS1KDFIrFdFq3bcbur7JZGpwAiWyQrd+RBEQW3mmPNmj5E6BLNAEQbQFSEATBEHcJnhzgZQkyauwc5U4TGyFcdDe3LflWGTb6+GLG7cgCI2KZRYE4Y4SPm0RJjEIgu9ZqZsTSZJadfv8DQlogiDaAuTCTRAEcZugZvBpsVig1Wqh0biePxVcaD6LxKBrZV6VjqdqjfMWIYoSRFEEq69txXEcAgODlFq2kgR48xCVJEm167bsLq/X613ux911Jloexqw/ogBoW2m98ztNUMoWd3pvCIJozVAPRRAEcZugxmLKGHMbIw24zrrtSlS3NLZZtSVJgtFYB5PJBEGwKOIZsJ6vxWJ2uZ071Lpu19bWYtOmTfjuu+9ct5Es0K0Waz1k69+CwMBaoZcFcGc+Q3fapAFBEG0PEtAEQRC3CWoHnp7ck10J6Nbmwu3ovm02exa8FosFUn3GMW+XyGw2q7qOgiBg9+7dqKurQ1FREWpra120884TP20F5nBrLJbW9YzL3Ili8k48Z4Ig2hbkwk0QBHEbYHVbVi8CzGazy4zcrgS0xBhEiYFvJRmLbcfXjnHO7jCbzQgICKzfnoHnnc9FEASP1nkZxhgOHjyI0tJSpKam4vjx48jJyUHv3r3t1iMB3XpxfMwlyf1z0VLcafHPMnfqe8MYQ2VlJWpqasAYU8JOCIJoHuT3Ljg4GOHh4R7fQRLQBEEQtwG+JrySE4rpdLeCPz1l3BZakYCW3bC9uaPbIooiBEGAVqu1lrNyiIP2Je753LlzyMrKwuDBgzFgwABkZWW5FdA0EG6dOFqgAUCwMGg0aDX36061xMp16++kOGjGGAoKCqDRaKDT6VrNM0gQdxqMMdTW1qK6uhqdOnVy+y7eOb0TQRDEbUxDBtuOZa1cWZ/VfNacSOIt922LxT7e2Ruyq7fkcC6MMRiNRlXWvvz8fKSlpSExMREDBgwAACQmJuLatWuoq6tzWv9OFUGtHVcTRXJCsdbCnWqJBRp+7m3VYl9ZWUnimSBaARzHQafTQaPRoLKy0u16JKAJgiDaOLLFxlccLbiWNiCgZT1qLVPlW61la0IxCxizTyZmNBpVXb8bN25g7969aNeuHcaOHasMdLt27QrGGHJzc10ek2h9uJt3aU0Jxe7kyRdfz50xBpPJhLq6ujb5ztXU1LgMqSEIomXQarWoqalx+zkJaIIgiDZOYwbaVkFpHXB6s0C39MDUWufa2gZH67laBMFSP+Fg/d9kMqm6fiaTCZs3bwbP87jrrrvsXN8jIiIQHh6OnJwcp+3uZCtia8Xbc2MRWl6AyeWc7lR86dMkSUJdXV19skDvte5bIxTqQRCtC47jPH5XkIAmCIJo4zTWUiVJkpIozBPNVc5KkFy3RQ7zFkURYgN9ba1WdxMkiUEQBFWD7erqauzevRs3b97EXXfdhZCQELvPOY5DYmIiioqKYDQa7T67k62IrRVvulRqBbfsTn9u1CZQs1gsqKurs5tskIV0W4LEM0G0Pjy9lySgCYIg2jBWq2zjBbQaF+3mcuMWJeZ0LEliEAWmCOBG7V8UYTKZvSYNE0URZ86cwX//+1/cuHEDU6dORVxcnMt1ExMTwRhDXl6e3XJrveGWt2jeCahNAqfmdqipF+51Hz4kpnPkThfQgOdrIOctcFWz3ZfkggRBEA2BAi4IgiD8DJMYGABNM2St9rV8lSskSYKoYj5VduNmrGnPTWQMkgQYbL6hhPo6vbILdmMxm83QGzi3M8xFRUX48ccfUVFRgS5dumD48OFISEhAWVmZy/WjoqIQGhqK7OxspKSkKMtlV1zeMe034Vdk1105EZMn1MQ4N7b2uSzw5Hvva3xrW7OgNgWiKDpdNzmPgW3oiSvkWvcUV0wQRFNAPQtBEISfESWrBUtvaB4B3VgYYxBUWNwEUYLZzEHDcdDoG31Y98eRYJcpWxStgloePPsLxgBH/VxXV4ejR48iKysLISEhmDx5MhISErzuS3bjPnfuHEwmEwwGg/IZCeimRy7jZjabwfO8xxJIarRxYy3Qtm7EJpMJPM+rdtNt6/HP/ornte3b5AkSQRBUTxjKzwK5RxMEYcvly5eRnJzcqH2QCzdBEISfkeoFnz/cQL3hDwEtiiK85U2yZrllEAT3taL9hSQxiPUx2YwxG+uz+sGzKhx2VVFRgf/+97/Izs7GgAED8LOf/UyVeJZx58bdlsVQW0F+D2TLryfUVD5zLHXma1tsXYjlDNFqURv/29pgjCEjIwPr16/Hnj17PGawVYMkSfXhFiYlSZgv16WtJhQjiDuN69ev49lnn8W7776LP/3pT/jjH/+I6upqj9tUV1fjxRdfRGpqKpKSkjB9+nSkpaU5rZeVlYX27dsjNjZW+fnf//7X6DaTBZog/ExbHPgQ/oPVux8D1my+Br4JXZ1F0S/izCJKkCC5tdQwxmAxA2DW2GRearpzYswqngFrWS0t45SYVdnK6C8kdmsW2WQyYffu3eA4DjNmzEBkZKTP+4uOjkZwcDBycnLQvXv3W8chAd2kyELL9n+z2Qy93tlNQm2JKsas63I+hiq4E8tywjpv7uVA24x/Lisrw6FDh3D9+nVERUUhPz8fV69exaBBg9CnTx+PHgGecFVb3RcsFgu0Wm2Dj080DXV1dQgMDGzpZgBoXW1pTiwWCziOa/Ewh+rqasycORPz58/HokWLAADLli3DY489hvXr17vdbvHixUhOTsYrr7yC9PR0vP/++5g1axa+++47dOvWTVnv/fffx1/+8hcEBwcDsHqL3XvvvY1uN/UoBOFnTCYTDZjvYGxvPZOglF1qCvw10PZUoopJt8QzAMX63BgLnee23PrbIkgQ6k3j1skC/woLWUxJkoTvv/8e1dXVmDRpUoPEM3DLjbugoMDOAkn9QdPi6j2wWCwul6t5bJnyjPveFrPZ7PZ+e/rMlrb0vFgsFhw5cgRbtmzBzZs3MXbsWMyYMQM/+9nP0KFDB6SlpeGrr75CcXFxi7SPEoq1Pm7evIlly5a1dDMAWJ/fZ555pqWb0SL8+c9/RmFhYUs3A6tXr0Z2djbmzJmjLFuwYAH27NmDr7/+2uU2x44dw6hRo7BkyRLce++9ePbZZ/HOO++gtrYWmzZtUtYrLi5GWVkZFi5ciNmzZ2P27Nl48MEHnSppNASyQBOEH5ETl/jbUka0HRw1nmBh4JvICu0vAS1KACdJgIOVRpIYBLO94hBEBuis4qIpjDq27uFGE4Ou3ogoCBaYTCaUl7tO4qU3BCDKR+ErHyotLQ2FhYUYPXo02rdv36B2y3Tt2hXnz59Hfn6+Mgsux7SSFaxpcNXfypbgwMBAO88KNe7bsrVYkgBfIte9lUWzbZMn2ooFOjs7G0eOHEFtbS169OiBIUOGKLH/oaGhmDx5MvLy8nD48GHs2LEDycnJGDZsGAICApq1nYIgQBTFNpmHwPLvDyHlXWnpZtihSUiCbu4TDdq2rq4OCxcubBWu9aIoYvHixS7dfm931q5diw8++AALFy5s6abgq6++Qo8ePexEbffu3REeHo4vv/wSU6dOddrGYrHg4Ycftls2adIkAEBlZaWy7IMPPsD//vc/DBw4EBMmTMDChQvRr18/v7SbBDRB+Anbme62MgAi/I+jZZYxqxXa3yLaH+WrZASJgWfMSSwILsY4slRRI0Qa2hbAGj8uiAyCpAHPWd+pgwf3oajY/Yx5UlJ3DBqYqnqAzhiQkZGB8+fPo3fv3ujRo0ej2x8TE4OgoCBkZ2fbuZGRgG4abN8Dx+RVsiu3XUI3FSE2ctytIIjQ6dUNk9RaOuX4aFfu5XKb20IYUFlZGb7//ntERUVh0qRJiI2NdVqH4zh06dIFHTt2xOnTp3Hu3DncuHED9913nypXdn8iCEKbFNC3Gzt27EBGRgYAYPny5Rg5ciQSEhLwySefoH///jhz5gwEQcAbb7yBkJAQXLx4EVu2bMG5c+fwhz/8Ab/61a+g1+tx4MABcByHL774AhkZGSgtLcWGDRvA8zymTp2K+fPnY8KECairq8M777yDyspKXL58GTU1NXj55ZcxfPhw7Nu3DydPnkR5eTmWL1+OXr16Ye7cuV7P4fLly/jyyy+xefNmfP7551i6dCmOHz+OxMRErFy5EqNGjQJgfddXrVqFoqIiXL16Ffn5+Vi6dCl++tOf4tq1a9i2bRs2btyIVatWYcmSJTh79iy++eYbdOvWDQcPHsQ333yD8PBw/Pjjjxg1ahQWL16s9G+fffYZLl68iNLSUqSnp+PJJ5/Eww8/jPLycnzxxRfYvn07fvWrX+HUqVP4z3/+g5CQEKxatQojRozAlStXsG3bNgDA22+/jZiYGCxfvhx1dXV47bXXEBMTA1EUsXfvXrz00ksYPHiwcu6ZmZn48MMPER0djf/7v/9DSUkJUlNTMWbMGLzwwgsAgG3btmH//v2oqqrCmTNnMGvWLPz+979X2j516lTwPI/t27fDZDIhIyMDU6ZMcbrOnTp1wqlTp1zeg5EjRzotk8M9hg0bpizr06cPfvOb3+DQoUP44osvsGHDBvz1r391Et8NgQQ0QfgJ26yrZIG+M5Ek5rLGbFNYof31jEnMmhRM4+A2KknMdcHc+jho63dh486JMeaUyEt2J5dPz/q/gMrKShQVF6JHSi90Tuhit41JYCgszMeVzIu4ejUPgwamolu37l6z75aUXMehQ4fQoUMHuy9dX9BqtXalxGQ37kuXLtnFvLYlt9y2hO17IIkA7zCqkWNgZfGkLoGYqFiLAwLVZXH2JXTHYrG4zQ7dViZf8/PzAQBTpkxBUFCQx3V1Oh2GDBmC9u3bY9euXThw4AAmTpxI2bFV0FBLb2tl5syZWLt2LQCrCzEA9O3bF3PnzsWjjz4KQRDQo0cPdOvWDc888wwCAwNx4MAB5OTk4PTp03jllVdw8OBBcByHb7/9Fm+//TaOHTsGjuMgiiI2bdqEFStWKMkfH3vsMTz33HPo378/AGDOnDl46KGHcOzYMUyaNAmbN29GXV2d0hY1BAYGIjMzEzk5Odi5cyc++OADZGdn44knnsC8efNw5MgRREdHY9myZRg3bhyefvppAMCSJUuwYMECHDhwAKGhocjNzcWJEyfw5ZdfYvny5fjXv/6F8PBwbN26FevXr8fatWvB8zx27NiBX/7yl0hOTsaMGTOwatUqaLVarFy5EgDwj3/8A4sXL0bnzp0xZswYjBo1Ci+//DI2btyoJOS6//77sXz5cuzevRtJSUn42c9+hr179+LZZ59VrtXbb7+NrVu34vTp0wCs7s9PPvkkjhw5AsAaq/zggw/i3XffVY4za9YsTJw4EUuWLAEAbN26FUePHsWbb74JANiyZQsWLVqEmJgYRbRGREQo17KiogKSJLl0qQ4ODkZWVpbq+/LDDz+ge/fuuOeee5Rlv/jFL5S/Dx48iF//+tf4wx/+gKFDhzZ6wpwENEH4Acdsn+SyeWfiLkSXMUAUGHit/waM/hpoyxpZclAWnoRGrVlEoE4DPXNfR1kNogAlxlmmzmhvgRNEBkkUkHn5EjiOQ58+/RAYeGvAzhhw0ywiPCoGCV264fzpozhy9BAuZ2Vg2NCRiIpq5/ocamuw/8AeBAcHY+LEiQ16V3meh8FgqLdW3hJyiYmJuHDhAvLz85GUlASABHRTYfseCAKDhofTMykLVsD1nJDj/uTnz2qJtiAgwHPNNsf77w3GWKOTY7U0hYWFiIyM9CqebYmPj8fQoUNx9OhRnDp1CoMGDWrCFhJthQULFmDs2LEArO9uaGgocnJyAFj70qSkJOTk5OCRRx4BAPz0pz8FAGzatAmxsbHK+z5r1ixs2rQJpaWlSEhIQFpaGg4ePIgNGzZgw4YNAKziNyUlBXl5eQ3OddGpUyf07NkT27dvx+9+9ztwHIcOHTrgpZdewpNPPokNGzbggQcewOeffw6e5/Hjjz8CsMZ+Dxw4EFeuXMGUKVPQp08fANZJhZSUFAwePBiiKGLp0qV47733lD5r6tSpePfddzF69GiYTCa88847uOeee7B8+XIAQFVVFVJTU5GXlwee59GunfU7b9q0aYpInDBhAj766COP5zV+/HiEh4cr/4eFhSn3AQCOHj2Kq1evKmFO48ePR1xcHEpLS5V1Xn/9dfTo0UNpm8lkQmpqql0OhHXr1il/y544rsYRGo1GtaeKIAhYvXo1Vq1a5Xab0aNHY8OGDZg4cSK++uorPPfcc6r27Q4S0AThB8xms5PbnSiKTSagZasKzeC3Ljwl1jKbRXD1boSNdV/0p/u2VG8CdsxO7Clfl8gYqs0iLBqGYD0PPd8wIe2YYE1izsnMTIIArWDGlSuZ6Ny5i514BqyZumVVFBwajrHjf4LCq9k4eTIN33y7HV27dkNQULDTsa9ezYMgiPjJlKkNisnUaDQwGAzgOA48z9sJqNjYWAQGBiInJ4cEdBNi+x5ISkI4wNFTVxbFajyjHd8rk9EMvd59FmeTydQq4jmbE4vFgmvXrqF3794+b9unTx+Ul5fj5MmTiIyMRGJiov8bSLQpnn32WRQWFuLjjz+GVqt1mWzPVR9tNpuRn5+vhG507txZ8QACrImmQkJCfLIu+4rt9548CZCdnY3jx49DkiS89NJLdiEkrrA9t0uXLqGkpAQdO3a0O8bs2bMBAGfOnEFVVRWefvppn+oY6/V6r6X0xo4dixEjRmDjxo0oLy9HZmam3fexHKKSm5urHDs+Ph5du3YFAJSXlyMrKwt/+ctflHhkb0RGRkKv17sseVdTU4MOHTqo2s/rr7+Op556yuukXEpKCkaMGIHr16+r2q8nyDxGEI1EFEWX1oemdMWzWCw+1RUl7GkKMWNbvsoWURRhNBpRW1sLk8nicrLFV2ytZI1FrG8zsxGvzIWQdYUgWIV0pVGEUfAtdlMUnQWN6GICQrCYkZObA7PZjJTuzi5XZgcRbpYYuiZ2w333PYDk5BTk5FzBuXOnnX5qaqoxZvQ4hIWFO+3TGxzHwWAwKKLKMbZSo9GgS5cuuHr1qo3AaxuxrW0Ju/eAycucr7EstNW6b9v/L7nsa+V603eaeAasrp2SJKFTp04+b8txHEaNGoXY2Fjs378fN27caIIWEm2JDz/8EE8//TR+8YtfYMGCBapLSi1YsABlZWXYvHkzAODcuXN49NFHERUVpaxTWlqKqqoqp22bYvwUFhZm9xuwimlfji33J3KIhDt83a8aLly4gMmTJyM+Ph6LFi1ymiAbP348UlJSsGbNGkiShOrqapjNZjz00ENe2+YpP0S/fv1cZgMvLCxE3759vbb7k08+QUpKCqZNm+Z1XcDqQh4TE6NqXU+QgCaIRuKu02oqAS1JEiRJgiAIVJ6jAcgDX3+LaEeLrVU418ForIMoWidYRIEpiY0agz9j7G01q3xN1FaLkrWLyBhqzCKqzeqvqSg4Cx1H7cPq6/tmZqYjLCwcsbHt7Wb8RQkQHe4jYwxmkcGgN2DY0JGYM3s+5j70S6efX8yai06dOquySjpiMBjsRLNGo3GyUHbq1AmCINjNdJMV2r/YvgeKjpZce4IIguD1Xrvy7JCkW4m/bNczGo13bK6LgoIC8DyPuLi4Bm3P8zwmTZoEg8GA3bt3t3l3dsI3OI5T+sKTJ0/iT3/6ExYuXKi4D6vtJ8ePH48VK1Zgy5Yt+Mc//gGz2YzXXntN+TwlJQWSJOGTTz6x2y4vLw///e9/ndrSWHJzcwEAEydOREpKCgDg448/tlunoqIC//znP93uo1u3btBqtfj444/tJlxra2uxa9cuJCUlufzcZDLh/fff97nNtuf+xBNPoGvXrhgxYoTTZ4DV/X3t2rUwGo145ZVX8O9//xvr1q1T7ltkZCSio6Px+eefO/WXf//7391OIM+YMQPp6emora1Vll25cgVlZWWYNWuWx/avX78eBoMBDz74oN3xLl686HJ9QRBw5swZl5m9fYUENEE0AtvEYY74083WFtt9ms3mO3YQ11Cs9YRdW5Uag+2gXZLEeuFsf/8Zsw7w3dWoVYO/nyvb7zRWb6JTO55wtOiZRcmlFdl5OzfWeodtBVFAZUUZyspK0b17D2i1Wjv3d4ubhppESVW9X6D+nvigonU6HbRa5+gnRwHdoUMHcByHgoICZRkJaP/h+B7Yv3/O64uiCFH0fP3dvVeSxJR3VhbPbSXZV1NQWFiI9u3bu3wP1BIUFIS77roLRqMRe/bsuaOv551GVFQUcnNzYTKZsH//fgDWUoIWiwXffPMNysvLUVRUhJKSEgBQDAaOfPbZZ/jhhx8wffp0xMfHQ6/XY+/evYp4mzBhAnr16oWVK1di5cqVOHLkCNavX4/nn38e06dPV9pSWlqKsrIynDp1yufxVF5envL36tWrMXXqVIwZMwYpKSmYPHky1q5di6VLl+Lw4cPYunUrHn/8cTzwwAPKeQH2E4EhISFYuHAh9uzZg7lz52Lr1q346quv8Mwzz2DkyJEICQnBvHnzsHfvXjz++OP44YcfsHPnTixYsECJDZf3Z/u9Jlu25WPKcdIZGRm4du0a8vPzUVBQgIyMDJSXlyMvLw8HDhxQzrGiogI5OTl49NFH8eCDD2LAgAGIjY1VSkDKPPXUU0hPT8ecOXOwZ88efP/991i4cCGGDx+uTH7PnTsX8+bNU7aZO3cuYmJi8J///EdZ9s9//hOpqamYOHEiACA9PR3Dhw+3q/G8ZcsWbNmyBeHh4di2bRu2bduGLVu24Ne//jV4nsfBgwfxyCOPYNeuXco2b775JmbOnIkBAwb4cptdQjHQBOEFd4NrNWVLmqL2pFOMnsnk0gJGuEb+IvFWTsZXbG+LILgfDIoig4bnYDabVbuq2W/vP/dtwGo9lmH1GbAd46HdIceV2lqFTaKEII3nZ97d5bEVQYwxiIKA3CsZ4HkeXRO7Qau1ildBEKyJ+1y468rbmkUJAVp174T1HKx/y3HNVsEl2olerVbrNp7NMQ5ar9cjJibGbnBBAtp/OL4Htq+EJDLAIWGfNbO7CN4xTbfDPl0hT7LIk2538n2srq5GRUUFunfv3uh9RUdHY+zYsdi7dy/S0tIUyxdxe7NgwQIcPHgQd999N5YuXYpJkybh448/xnfffYfly5dj/vz5WLduHVavXo0+ffrg4MGDKC4uxkcffYR7770X8fHxAKy5Ji5cuICzZ8+irKwMRqMRjDEMGDAAO3bsgE6nw9q1a7Fs2TJ88MEH+PzzzzFp0iS88847CA625sWYPXs2vvrqK0yZMgVLlizBwIEDfTqXTz/9FKIooqSkBLGxsXYW8FWrVmHZsmXYsGEDNm7ciJEjR+L1119HXFwc0tLSFMH43nvvYf78+Yqoe/HFF6HRaLBhwwYcOXIEEyZMwKuvvqpkql6xYgUAq4DctWsXBg8ejBdffBG9evVCRUUF1qxZA8CaETs1NRVGoxE7duxQ2vTEE09gzJgxGDJkCH79619j3rx5WL58OZYtW4Y33ngDo0ePxpw5c7B8+XLMmzcPv/3tb7F69WoYDAYEBATgvffeQ2FhIWprayGKIgICArBx40YMGzYMTz31FKqrq/Hvf/8bCxYsQO/evfHcc89h3LhxynUpLy+3u4ahoaHYsmULXn31VZSWlsJoNKKqqgrr169Xxs91dXUoLS1FRUUFAGDPnj146qmnYLFY8N1339ntb/jw4UhJSYHJZEJ+fj4WLFiAu+66C0lJSRg9ejQmT57s0z12B8fuwKAsV772zUF0dLRdtjqibdCQJDFRUVEoKysDz/MNEkmeqKmpcRJQGo0GgYGBlFTMC5Ik2bkJcRyHgICARk1yREdH4/r1EphN9u5WzEPApd7AKcf21Yrj76RFFcZbQsSa4MwAwaL+a0Gr56DR3HrueI5DRKD7c2KMwWR0vf9yo6AoIVEQUFNThd07NqFjfCJGjRyLsJBgRdxW19ahxuzBWsBxCNXz0Kh4JXQ6Dhqeg06ncxLIsqVTkiR06NDBbcym47MFWN0TT548iYceeggBAQHQaDQ+ZS0m3GP7HjDG7N4/ANA5PJeMMUii+wkQwP69jYiIREWFdaCn4QGdjiYoAavF6ocffsD9999vF2vaGA4ePIjMzEw8+OCDfv++lHH1bss09djMNiGUOwoKCvw2mXsnwBjDH//4RyxatEjJNM0YQ2VlJVatWoXp06crpauagr/+9a946623/JKMqq2wZ88enD59Gs8884yyzGg04syZM9ixY4ci7G8nzGaz21wPZIEmCC80xrVMThzkL2HrzvooSRKMRqNfBx/+bHdrwdE9S7YqNXbywTZm2HqPPFuo5EzBJpPJbT1Yd/g3/pk5WPEk1e7byjYS7IKBxHrrr553LTjcxVeLDnWnBVHA1bxsiKKILkkp4GyuE8/zEL1FIPlghWbsVkkqRziOUyY5PN0n2QvE1jrZqVMnnDx5EoWFhUhKSlKSs91u71VL4Cr+2RZRZA4CGvW5CFyLKGtf7SYc5841ODtRUFCAwMDABpcAckXv3r1x6dIlZGZmNqnoIW4ftm7diuPHj+Ott95SlnEch4iICCQlJSmllnzlvvvuQ1FRkcd1tm3b1qB9t2VMJhOeeOIJOxdqwJpBvGfPnjh37lwLtazlIAFNEB6QE3Y1FLketL/cuD2JeWvNUpPXkglqYBKDKAGNCHFrlbgSn3JSr8ZcN9vMv3LCME9IIgPPc0oYgNpj+9t929FT210mcU+4EhdGgUHv5pEX3Lhd27qSi6KouG+HR7ZDRGQ7MO7Ww8gYA3gtAM8hFCaRQacB3Gj5W9R7AzQWnuft+ovo6Gjo9Xo7Ae3P/uBOxZP7towkAkxrM1nBbnkTuLr+nvpWa+4CBk6NO8NtjCRJKCwsVMoF+YvIyEi0b98ely5dQr9+/WiCifCK2WxGeno61qxZgxkzZiA8PBzXrl3Dzp07ERERgdjY2Abtd/v27arWk/t5f4aBtWbkOPQ333wTL7zwArp27Yrq6mqcPHkSR44cwbPPPtvSTWx2yCeJIDzgj8Qm/kyO4k3M+8s6KbH6OMLbCMd4Vlsam9TLdgDvKf5ZRpJuxdbL8bxq8HfCOMlBeUgSg+TjdXAVLm1xk0xMkphba558CZgkwWI2oezGdVRXVSKxa4pVmHKccs3MolUYab3V02bMbaIxGY7joNcF+GXQ7qqcVceOHVFQUKC0/U6On/UXTp4kXp4p4NZz6m6Cy9v7f+cFuzlTVlYGk8nUoPJV3ujZsyeqqqrsku4RhDtmzZqFFStW4NNPP8WgQYMwcOBArFixAoMHD8bMmTOb9Nh79uxRhPZrr72Gs2fPNunxWgOBgYHYuHEjamtrcc899yAlJQUPPfQQrl69iueff94vhpu2xm1mXyII/9LaBLT3QZ57C4svWEvB3F5u3N7EZ0NduW3LMalx35aR3bht3ci9HsvPmWqdy0YBjHPwyfaGi0RigOtkYp6M82J9AjOT2QTGGHKvZECn06NjfBfwWh3AGASJQcdzSu1nrVZXX9/X/TUXvNwOgyEAHKfxy7Pu6r3r2LEjcnJyUFlZiYiICBLQjcSaDMz+QXKcCJIR6z09ACiJ8QRBhCuDkWP9Z6fPGVkcZHGrJqbXV7p06YKAgACkp6crSaIIwhOPP/44Hn/88WY/7qRJkzBp0qRmP25LM3jwYGzcuLGlm9FquNO/DwjCLf4qFyTHQTcWte67/rBSSoq1TMW69a49rbmclqtBtyMNrc/sq/u2cjzRXnh7a58nC3pDcXycJBGqM3Db7cdFs0yCY3w1s7tWjoiMwWI2gUkSTMY6FBXkIz4hCVqdThGmgsQgSgxC/XXgOM6urJW7/bpDr9cr+/aHhZHjOJf1oIFb4oMEdOMwmUxO/aC7OSvbmtBKnWgmOYllNX2rq9rSdxoFBQWIiopqkkRfPM8jJSUF+fn5qK6u9vv+CYIg/AkJaIJwg7+Er7+EuNp9+ONY8oDUlVFGkiRYLBYYjUbU1taitrYWRqOxQeKzuVA7+dCQa2crCn2ZRLB14waswsBbjLu/sdUEcoIrqQEZk1zGoDKmWIoB+zJfrjBazMo55udmgTEJXZK6Q6u9JZAFkTmVruJ5rWePC2aN53fEWlP6linSX4miHNsSGhqKsLAwpfoDCeiG42qiztuED5O8h1moebeYw/t6p2GxWHD9+vUmcd+W6dGjBxhjuHTpUpMdgyAIwh+QgCYINzSn67U/9yFJUqOPJ48THa0ujDHU1dXBZDI5xe7KlujWiNp2+Zo0ztGK7OsA2/ZQsiu3u300xbW1r7tc/7sBAs+d+DTZ+E/buro7rWe2QKifgKmtqUZW5kW0i2mPkNBw8DaZ7ATGYHKhhrU6z0lcBIfnmOM46PWO5ao87kI1rsR8p06dUFRUpDwjJKJ9x7YOs91yL9uJInO6t46eIt7ct2+1QdVqtyXFxcWQJKlJBXRoaCg6d+6MjIyMJpkwJAiC8BckoAnCDf4ULI0XtL4NuhtXesteVNn+b7FYPIpEX+oTN5fYVuO+bYtPVmQ7q5bv5+Po0iyXI3O8xo3NBu/2+LYu1vWPTEOsbO6MgBbJGrcsuRAxyraSiDqTEQAgCBak/bgXYAz9Bg0Dz2ud4pJdxbtqNBo7a7IjjgJap9Or2m9DcCegBUFQaoaSgPYdd5NL3jwHrOWr3L9PvngI3cnlrAoKCsDzfIOzG6ulZ8+eqKurQ25ubpMehyAIojH4RUB7q5lGEG0Nf1uJGusO7uv2jRGnjoNEW+OMmjhdVe6Q9dak5hDRvoh6wLfJB/laWQfhvp8Lk5xdUEVRdHKHb2rrs+3/siu3T3jYxmgRYbG4/owxBqPRpCQQO3XsEKpuVmLwsLEICQlT6i+rQavTOcUfy9hOFGg0vMu4aX+JI1dx0O3btwfHcUocdGv11GitWCwWt9dMzcSHKwOz/L768r7f7nHQnnIUFBQUoH379j69kw2hU6dOCAkJQXp6epMehyAIojH4LKDT09Px9ttv480331SW1dTUYOXKlcjPz/dr4wiipWgK97HG7NPXbRtjsXRyd1Sy16ort6RGsJrNZqUGclPHFfoqVnxxxZYH742pz+zqklosFrvr2CTxzzbOr44ixJ9u3DVG5lJ4WCdRjPVJnYCMi2dQXJiP3v0HIyauAziNBhofs8nr9K5LaTCbOGh3NTv9+Rg6WqH1ej1iY2PtBPSdHE/rC96S+zV04kN+p3wT0LdvHDSTmNswi+rqalRWVjap+7aMRqNBjx49UFxcjIqKiiY/HkEQREPwSUCfOXMGr7zyCo4ePaokRAGA5ORkzJ8/H6+99hqKi4v93kiCaG7auoAGGm7lcop7lnxzg/YmtEVRVMRhQzNfq6Whmat9delsiPX51rFcD1pt48ybPIGY6PiZfxKJCRYGSZRgcnGOZrNN0rD8HGSmn0XnLt3QtVtPAGiQpUuj0UDnRiALjEGr9ZxwzF8WRndu3Ddu3EBdXR0A3z0j7lQ85QVwTA7mC3Lf4PvkZMOO19qRmHPIjow83msOAQ0AKSkp0Gg0ZIUmCKLV4pOA/s9//oOEhAQsWrQI0dHRdp916NAB/fr1w/r16/3aQIJoCVqTgG6oO3nDj+e8TLD4liDMkzhwTASk1rLdEBo6iaBmO1uX58Y8L+4GrYD1WjWV0LLVtI6XvyGlrBz3IYpMSbJmFCTFkwGQXXKt53Xjxg2cOHYQkVHR6DtwGDiOA8dx4PmGuYpqtTqXlmtJZB7jpIGmTyQG3Ap5Ijdu79hOsriisfdLECyq67Yr21gaEOLQBpD7IFddcUFBAYKCghAREdEsbQkMDESXLl1w+fJlmmgiCEI1jDFkZWU1y7F8EtA3btzAK6+8gsmTJ8NgcHaVi4iIwMWLF/3WOIJoCZqi3i7Q8OzYDXUPbsh5uLPomMy+DWLciWKLxeK03F123cbSmKzgasvaAP5xx3U1hpckBotZRHWVCWaTVG/NZQ0St56OyRhzUiK+igrrNrf+liQG0SbumTGGGrOoTDaYzdb7XVdXh/0H9kCvNyB1xHhFeOr0BqckX76gd5EkDFr3MdJKO/0YB+0ootu1awe9Xm9XD5oyDbtHLpfnicbq2IaKM5VJu9sUt0oXOidcKywsRKdOnRr1TvpKr169YDabkZ2d3WzHJAiiZbh+/TqeffZZvPvuu/jTn/6EP/7xj6rqwe/btw+xsbHKT1xcHE6fPt0MLQZ8muLv0KGD2/gxAMjIyEBNTU2jG0UQLUlTDmrNZjMCAwN92qaxrt/eRIMt7gakZpMAN+GlbvbDYLFY7Cba5Jhnd+0UBMGvCWpcZbNWiyz0PLr71u/aH5ZEUWTgtdbBqSSxeuutbXus68iPAscx8DynbNMQ5Lhnl+K9IdfNZvJFcKFLRMZQbRTAM+szIIoiDvzwPUwmI0aNm4KAAOt7odPpPdd1VgFXn5VbFupyPLUoMfAa99fMet7+EQkajcbu3dVoNOjYsSMKCgrAGAPHcRAEodHneruiJj9CSxmCBYFBw6NZBaU/EAQB586dg8ViwdChQ5XlknTr3ZU9YjT170lpaSlMJhM6duzYrG2Ni4tDREQELly4gOTkZJ++x4jWT11dnc9joaaiNbWlObFYLOA4rskTA3qjuroaM2fOxPz587Fo0SIAwLJly/DYY4959Wr+5JNP8P/+3/9T+gedTofp06c3eZsBHy3QsbGxyMvLc/nZV199hYsXLyIxMdEf7SKIFqMpBbRt/K9aGmMN91XcuRJTVgur5HN8qKNl1tuA2J8Jxcxmc6O9CLxdO1afObox8c/KvuoFssUswWJmXi1cjFkH8Y25XrKhydXj3pAkYoDV/VMww6WyYYyh2liHOovVEp127DBKSq4jdegohEe2AwDwWi20LjJkNwReq1XcwOWyVY7lrJza6EfHE3du3LW1tUpyJEom5hpBEFT1Xf7yxmgIbc0KnZ+fj82bN+PEiRM4e/as4gkBOL+utud2+vRp6HQ6xMfHN1NLrXAch4EDB6KsrAxHjhxp1mMTTcvNmzexbNmylm4GAKuIfOaZZ1q6GS3Cn//8Z7t8Vi3F6tWrkZ2djTlz5ijLFixYgD179uDrr792u92pU6fQsWNHPPTQQ5g9ezZmz56NmTNnNtuEgE8C+he/+AXeeecd/Otf/0JpaSm+++47bNy4Ec899xzWrVsHjuPwi1/8oqnaShBNjr/LV7nCF6HY2PhaX92/XY1H5VhVXy+LbIWW2+Ft4kCNy6YaXJWBauh+PMGYXBe70YcCUJ9wy8dr3NBHlTEGqf7H3Qk0KO7eQ3yoxWwCkySYBAkXL11EVlYm+vTpj47xXQF4r+XcEHR6vV3iMK8C2s+ZuB0tlHIctDxoaez7fTviyVPFkZZM6NXYCazmorq6Gnv27MGuXbug0WgwZcoUhISEIC0tTXnHnd22rf8XFRUhPz8fAwYMcBm219QkJSWhT58+uHjxIi5dutTsxyf8T11dHRYuXNgqXPNFUcTixYuRlpbW0k1pdtauXYsPPvigpZsBwGqA7dGjB0JCQpRl3bt3R3h4OL788ku327377rv49NNPMWzYMCxdurTZnymfZHq7du3wwgsv4F//+hdyc3OxevVq5bP4+HjMmzcP/fv393sjCaK5aEw5IrXIA0Q1AxJ/DK4FQXBZ99YVjhYd2zhNSWSAjy7DFosFWq0WRqNRlSAzmUzQaDQNnkH0Zzy1XArMleugVfhIyuSCq88B1y6esvuuPxBFqyu3ryjumh4eL2sctH/cJgXBojxHJdeLcOpkGjp16owB/Qeh2iyB4zjoDQF+d4nlOM6utJU3AQ3Yu6829tg8z9tZUkNCQhAeHo6CggL06dPH2iY/hy60dVzlSXBFaxCvogi01lsnSRLOnz+PkydPgjGG1NRU9O3bFzzPY8iQIdi7dy+ysrLQvXt35ySCDBBFCWlpaQgODkbv3r1b5iQADB06FBUVFfjxxx8RHh6O9u3bt1hbWoKPjhTiSpmxpZthR1JUAB4f3jCX/h07diAjIwMAsHz5cowcORIJCQn45JNP0L9/f5w5cwaCIOCNN95ASEgILl68iC1btuDcuXP4wx/+gF/96lfQ6/U4cOAAOI7DF198gYyMDJSWlmLDhg3geR5Tp07F/PnzMWHCBNTV1eGdd95BZWUlLl++jJqaGrz88ssYPnw49u3bh5MnT6K8vBzLly9Hr169MHfuXK/ncPnyZXz55ZfYvHkzPv/8cyxduhTHjx9HYmIiVq5ciVGjRgGwjt9WrVqFoqIiXL16Ffn5+Vi6dCl++tOf4tq1a9i2bRs2btyIVatWYcmSJTh79iy++eYbdOvWDQcPHsQ333yD8PBw/Pjjjxg1ahQWL16sfEd+9tlnuHjxIkpLS5Geno4nn3wSDz/8MMrLy/HFF19g+/bt+NWvfoVTp07hP//5D0JCQrBq1SqMGDECV65cwbZt2wAAb7/9NmJiYrB8+XLU1dXhtddeQ0xMDERRxN69e/HSSy9h8ODByrlnZmbiww8/RHR0NP7v//4PJSUlSE1NxZgxY/DCCy8AALZt24b9+/ejqqoKZ86cwaxZs/D73/9eafvUqVPB8zy2b98Ok8mEjIwMTJkyxek6d+rUCadOnXJ7H0aPHo1OnTph3759+OSTT7Bu3TqsWbMGkydPVvEkNh6fu/7o6GgsXrwYRqMRhYWFEAQBUVFRiI6ORllZWVO0kSCajeayBlksFuh03pMa+aM9oiiqF9AOY1LbwT9jVoHN+SAu8vPz8f333/tsWR40aBDGjh3r0zaAf1y3bXEXQy5JgNnsuryOKIrYv38PAGDcuEmK9bO2miE7g8FiBvqkAjpd40Uak3y/JwAgwn3G3Vv7ZoCfwnPl56imugonjhxASGgYBqSOhsQ4SIzBEOB/8ewKiTGvcdD+1GV6vd7JFblTp064dOkSTCYTDAaD4sbd1uJpmwJfvFBagX6GKDDwGvj8/jU1jDF89913yM/PR+fOnTFixAiEhoYqn3ft2hXnzp3DiRMn0KVLIly96FeuZKO0tBRjx45t0QkejUaDCRMmYNu2bdizZw+mT59uZ6ki2hYzZ87E2rVrAVhdiAGgb9++mDt3Lh599FEIgoAePXqgW7dueOaZZxAYGIgDBw4gJycHp0+fxiuvvIKDBw+C4zh8++23ePvtt3Hs2DFwHAdRFLFp0yasWLECCQkJAIDHHnsMzz33nGLcmzNnDh566CEcO3YMkyZNwubNm1FXV6e0RQ2BgYHIzMxETk4Odu7ciQ8++ADZ2dl44oknMG/ePBw5cgTR0dFYtmwZxo0bh6effhoAsGTJEixYsAAHDhxAaGgocnNzceLECXz55ZdYvnw5/vWvfyE8PBxbt27F+vXrsXbtWvA8jx07duCXv/wlkpOTMWPGDKxatQparRYrV64EAPzjH//A4sWL0blzZ4wZMwajRo3Cyy+/jI0bNyoJue6//34sX74cu3fvRlJSEn72s59h7969ePbZZ5Vr9fbbb2Pr1q1KEq7i4mI8+eSTSghFdXU1HnzwQbz77rvKcWbNmoWJEydiyZIlAICtW7fi6NGjePPNNwEAW7ZswaJFixATE4OHH34YAOyy+VdUVECSJJfvdHBwsMeM2gsXLlT+3rZtGxYvXoxFixbh+PHjiIqKUn0/G4pPveJnn32GX/7ylwCAgIAAJCUl2X1+9OhRxMbG2s1WEERbojndKU0mk8fEFdZSP/5IUCWqGqA7ZuC21n62H8z6oqkqKyuxd+9ehIaG+pQbobKyEidPnkRERAT69eunejtBEPxe8sTd5IPFLLh8VhhjOHbsCAqLrPGFx44fQergESjIAQrzAJ63Wq0yzjH0HuCfgbckAbyPhmKJwaP7tnUd/0xEiKIIJkmwWMxI+3EvwAFDRk6ARqtFrUWEXm+ARtN8ibQEbwJagt8mDqxu6Tq75zIlJQUXLlzA6dOnMWzYMADWd91Tgs47BZ/CW1pJPWZRBLStLL9VQUEB8vPzkZqaigEDBjh9znEchg4diq+//hoXL1xEz5597T4XRREnTxxHZGQkunXr1lzNdovBYMDdd9+Nbdu2Yffu3bj33ntVTwq3dRpq6W1LLFiwQJkw5zgOoaGhyMnJAQAkJiYiKSkJOTk5eOSRRwAAP/3pTwEAmzZtQmxsrDK2mTVrFjZt2oTS0lIkJCQgLS0NBw8exIYNG7BhwwYAVvGbkpKCvLw8REZGNqi9nTp1Qs+ePbF9+3b87ne/A8dx6NChA1566SU8+eST2LBhAx544AF8/vnn4HkeP/74IwBr7PfAgQNx5coVTJkyRfFCmjlzJlJSUjB48GCIooilS5fivffeUybfp06dinfffRejR4+GyWTCO++8g3vuuQfLly8HAFRVVSE1NRV5eXngeR7t2llzikybNg09evQAAEyYMAEfffSRx/MaP348wsPDlf/DwsKU+wBYNd7Vq1cVL5Dx48cjLi4OpaWlyjqvv/46evToobTNZDIhNTUVxcXFyjrr1q1T/pa/91yNT+XvTzVMmzYN4eHh+PnPf45vv/3WLp66qfBJQF+7ds3j58nJyXj//febXUDLcTpdu3ZFTExMsx6buH2QXXabC3eZp2U3ZH/ViZXjLL1ZERwHpK7c2SU3LsPWUki3BKHJZMLu3buh0Whw3333ISgoSFVcI8/zMBgM2L59O/bt24fIyEhVyWt8iZv0BVeTD4wxGN24iWdkpuNyVgb69O4HBuDChbO4WRaBYF1PxHYAuiRzKCsFsi4y5Fxm6JrSeAFtm8FbLRLz7L4NNDyRmCNifa3dk2kHUVN9E8PH3IXgYKs1TMNrwTezdUuQGDwFT/gzEzcAJwEdFRWF7t2748KFC+jVqxdCQ0MhCMIdL6DVJg6TaQ0u3IAcRtF6rNCSZHW9Dg0NRd++fd2u16FDB3Tu3Blnzp5G167JMBgClM8yMy+huqYad4+a0qDs1waDwe+lCcPDwzF+/Hjs3r0bBw4cwMSJE8lr4zbh2WefRWFhIT7++GNotVqXnmQBAQFO25nNZuTn5yvf0Z07dwbHccqE/bFjxxASEuKTddlXbJ9BeRIgOzsbx48fhyRJeOmll7yG69me26VLl1BSUmKX9Z7jOMyePRsAcObMGVRVVeHpp59GcnKy6nbq9Xqv7+TYsWMxYsQIbNy4EeXl5cjMzHRKBAsAubm5yrHj4+PRtas1j0l5eTmysrLwl7/8BZMmTVLVrsjISOj1epcVnGpqatChQwdV+wGAcePGoUuXLrh+/brqbRqD157x8OHDeP/99/H+++8jNzdX+dvx55133sFf//rXBrlxHzp0CB999BG2bt2Kv/3tbx593mUkScKuXbvw3HPP4eTJk+jevTuJZ6JRtEQyH0eLiyRJqKur85t4llGzP8fwUFfxvWazgMrKSqXUkmCRYDZJMJsYBFF2C5awd+9e3Lx5E3fddRciIiKg1+tVDcTk9X7yk58gPDwcO3bsQGVlpdftfHHdZoyhvLxc1QDcVZIni8UCSXQ+VnFxEY4fP4pOnTqjZ49BMLCBCNLH43pZGtp3KUZybw10eg5xHTl06AwU5QPXChsvAuSyM74gSd4TMPlDoLD6GPpL50/jenEB+vQfgugY6+w1z/PQtYBobM5M3IDrWfTBgweD4zicOHECANWEBuDzBFhLJhBzRBRbh5gHgKysLJSXlyM1NdVribQhQ4bUl7Y6oywzm004d/402rfvgPZx6gevMlqtFjqdrknKs3Xu3BlDhgxR3HmJ24MPP/wQTz/9NH7xi19gwYIFqktKLViwAGVlZdi8eTMA4Ny5c3j00Uft3HdLS0tRVVXltK2/J3gAq8XW9jcAl4mtPB1bnmzNz8/3eCxf96uGCxcuYPLkyYiPj8eiRYucch+MHz8eKSkpWLNmDSRJQnV1NcxmMx566CGvbfPUv/fr189lNvDCwkKPk4CuiIyMbDYt6HVEO3z4cMTFxWHfvn24ceMG9u3b5/Ln8OHDuHnzJu69916fGrBnzx6sXbsWjzzyCKZPn45HHnkE77zzDtLT091uYzKZ8NZbb+G7777DkiVLcM899zTYFYMgAPuM0c2JJElKx2KxWFBXV9ckVnA1ydFshYO7Af2JE2nYtGkTDuz/AdVVdRDFW17Akii7MB9DQUEBRo0apWQdBuDVwmY76DIYDJg2bRoYY9i+fbvbzpcxBqPR6NO9O3fuHDZv3oxvv/1WlTi3vQ7y/XK8lFVVN3Hgh70ICwvH6FFjcfkCcLOSQ+rgsQgLC8PxU/tQVX3rSzwxmUNEFHAlneFmReMH345ZdL0hiJLXIFKrS3/j2iaIAm5WluNyxnkkJCajS1IKgPo6zb4UFvcjSvZxN1g92/0riHQ6nZ2lIjg4GH369EFWVhZu3LgBwD/1xNsa1jAR1qDcBa3EAA3A6sbt6yRWUyAIAo4fP47o6GjFKuSJ8PAIJCUlIyMzHdX1/dP5C+dgMpkwaOAQSBLn07ug0WgUa1tT1Tfv27cvkpOTceLECTvXUaLtwHGc8r6fPHkSf/rTn7Bw4ULFfVhtXzB+/HisWLECW7ZswT/+8Q+YzWa89tpryucpKSmQJAmffPKJ3XZ5eXn473//69SWxpKbmwsAmDhxIlJSrN91H3/8sd06FRUV+Oc//+l2H926dYNWq8XHH39s9+7V1tZi165dSEpKcvm5yWTC+++/73Obbc/9iSeeQNeuXTFixAinzwCr+/vatWthNBrxyiuv4N///jfWrVun3LfIyEhER0fj888/txuzMcbw97//3W1fMmPGDKSnp6O2tlZZduXKFZSVlWHWrFmqz+XmzZvIz89Xbf1uLF4FNMdxmDlzJn79618jJSUFL730ksufV199FR999JFPJ1tXV4e1a9di7NixigtDu3btMGjQIHz66adut/vggw9w6dIlPP/884qvP0E0FNnq25zu27YIggCj0QiTyXVSKn9gHah6qWtsc2xX65rNZlzJzkJYWBiuZF/Gtu2bcflyht12mZmXce7cOfTq1Qs9evSwszprtVq3buQcxzkJ7IiICEydOhVlZWXYtWuX07URBMFna73RaMTp06cRGRmJkpISpS6qp33YCmjrQN++HWazCfv27wHAMH7cJGg0OlRVAh3igYQkAyaMvwsAw7593ylCn9NwSOnLwRAAXDrDYDI27r6Lom+iT1Bp7BQsjavNLQoCcq5kQKPh0bPvIHAcB47jYNAbWtT90psV2t9dgavM8v3794fBYMDRo0eV97O1uCU3NYwxCBYGs8la+7y21jfLSWsQq44IHkq4NRfnz59HbW0thg4dqur9YhLQv99AcByHU6dPoKamBpcuXUBiYhKioqxjK19OSa/XK8dtqsRjHMdhxIgRCAgIQFpaWotfc8J3oqKikJubC5PJhP379wMA0tLSYLFY8M0336C8vBxFRUUoKSkBYB2jufqO/uyzz/DDDz9g+vTpiI+Ph16vx969exXxNmHCBPTq1QsrV67EypUrceTIEaxfvx7PP/88pk+frrSltLQUZWVlOHXqlM8TmXl5ecrfq1evxtSpUzFmzBikpKRg8uTJWLt2LZYuXYrDhw9j69atePzxx/HAAw8o5wXYj7dCQkKwcOFC7NmzB3PnzsXWrVvx1Vdf4ZlnnsHIkSMREhKCefPmYe/evXj88cfxww8/YOfOnViwYIESGy7vz/bdkMce8jFl7ZSRkYFr164hPz8fBQUFyMjIQHl5OfLy8nDgwAHlHCsqKpCTk4NHH30UDz74IAYMGIDY2FikpaXZWY+feuoppKenY86cOdizZw++//57LFy4EMOHD1f6hrlz52LevHnKNnPnzkVMTAz+85//KMv++c9/IjU1FRMnTgQApKenY/jw4di0aRMAa7KyRx99FEePHgVgHactX74cy5Yta7ZM/ap7uHHjxqFTp04eE0qUlJS4LfviitOnT6OmpkaZqZHp3r07Dh06hLy8PCU7nMyZM2dw6NAhzJkzxy6TG0E0BEmSVJdYairUiFt/4K2cle0lcNWe7OwsiKKAUSPHged5pB07jCNHDyErKxNDh42AJIo4dOggOnTogOHDhwOAU1+g1+tdWsNtB162JCQkYOzYsdi/fz+OHDmCESNGKPHODfEYOH36NCwWCyZMmACDwYC0tDScOnUKly9fxsiRI9G5c2cX10VS2mwVObc+Y4xh1+5vcPNmJSZNvBuhoWGoLLcmYwuNsJ5PaGgYxo6ZgD3f78KhQ/sxbtwkcBwHrY5DzwHA2TSG9NMMfYegQSWpbrXTmqTM63qMQRTUPe9yXKp18kMHzod4SFEUYDabUJCXjY7xXaCvtzjr9Aaf9tMUCCKD3sO18mciMRmdTmcnkvV6PQYOHIgjR46goKAA8fHxqnIVtGUYYxAFaw1lGUmSIAoMGg7QqH3+W6FmspZ+armyVkajEWfOnEHnzp1Vxw1KEkNQUDB69uyD8+fPoLa2BowxDOg/SFlHFNWVddPpdHbPrkajgUajaZLvVvndOXz4MK5eveqy3yZaLwsWLMDBgwdx9913Y+nSpZg0aRI+/vhjfPfdd1i+fDnmz5+PdevWYfXq1ejTpw8OHjyI4uJifPTRR7j33nuVvCixsbG4cOECzp49i7KyMhiNRuvzO2AAduzYAZ1Oh7Vr12LZsmX44IMP8Pnnn2PSpEl45513EBwcDACYPXs2vvrqK0yZMgVLlizBwIEDfTqXTz/9FKIooqSkBLGxsXYW8FWrVmHZsmXYsGEDNm7ciJEjR+L1119HXFwc0tLSFMH43nvvYf78+UrCvxdffBEajQYbNmzAkSNHMGHCBLz66qtKpuoVK1YAsGa43rVrFwYPHowXX3wRvXr1QkVFBdasWQPAKjJTU1NhNBqxY8cOpU1PPPEExowZgyFDhuDXv/415s2bp4jPN954A6NHj8acOXOwfPlyzJs3D7/97W+xevVqGAwGBAQE4L333kNhYSFqa2shiiICAgKwceNGDBs2DE899RSqq6vx73//GwsWLEDv3r3x3HPPYdy4ccp1KS8vt7uGoaGh2LJlC1599VWUlpbCaDSiqqoK69evVzxZ6urqUFpaioqKCgBWN/n09HTMnDkT06ZNQ1xcHB5++GElMWdzwDE/Tt/Jg9FFixapWn/dunXYvHkz/vrXv9pl6T169CjeeustPPnkk8rsg8zf/vY3HD58GFOnTkVJSQkyMzMRGhqKn//850rtNW+48rVvDqKjo8nlqBXRlOI5Kiqqycq6iaKIK1euoGvXrj4PtoOCgtzWNZatoKIowmisc/r8fzu2WGss/nSasiw75wpOnEiD2WyCVquFQW/AfdOmISjIGsMUHBzsJIzNZrOde49Go0FQUJDbNsslWS5cuICf/OQn6Ny5c4PuWVVVFTZt2oTk5GSMGTNGWV5UVIRDhw6hsrISnTt3dln+gOd5SJIExhgkkSnx4lU3K5GXn4shqcPRo0cvAMDVbIa8KwxDx3F2paouXbqIY8ePICEhEaGht2KkjLUMpdeBiIhgjBqb0qCkPQCg0QA6vfdtzYKEiuqGTdjwvBYWwYLSa4VI6Nrdo5XLZDLiSsYFnDudhtETforIqGjo9HpotS2fPZfnOIQFuH93NBpAb3C+lo3tw00mk93EjyiK+O9//wutVosZM2ZAp9Opjv9ra0gig9nsPNywToZZ+wO9nlOVjEsQGEShaVV0REQkKirKva/ogE7P+aWOuK8cOXIEFy5cwP33368qpI0xqwcAAFgsZmzZugkmkwm9evbB4MFD7dbVGziP77pGo0FgYKDXvt6fiKKIzZs3g+d5zJgxw2u/qdPp3CZzauqxmW1CKHcUFBTc8YkEfYExhj/+8Y9YtGiRkmmaMYbKykqsWrUK06dPV0pXNQV//etf8dZbbzVbwqrWwJ49e3D69Gk888wzyjJ54m7Hjh2KsL+dMJvNdqGItvg8V3ro0CFcvHjRZfKjzMxMlJeXqxbQcmC/Y3Y9+X9X8YmXLl1CYGAgJk2ahC5dukCSJKxevRp///vf0a5dO+VFsmX37t3YvXs3AOCNN95AdHS0upP1M1qttsWOTdgjSRJqa2tdZnb0B1qttsnq0J06dQoHDhzA9evXcd999/nkCmswGFwOIkSRwWS0+vUajXVO16Ww8CoqKyswceLdiIi4NTiLjIxC7159cfjIQeTl5eDee2YgLi4GOp0GPM8rs7y2MMZQU1OjiOCgoCCvEwE///nP8cknn+DAgQN47LHHGjTQOHToEDQaDSZOnGhXEzUqKgo9e/bEsWPHlDINauE4DgMHDsawYSOV+5BZcxMhYRJiYiLs1h02bCQsFjPOnjvtZIFnDKisYdAdEfGTqWPQUAwBGq+D95paAZKmYfH+gsWC/d9tR3lZKUJCw9Ctey+X60mShNoaHvm5WYhsF4OELknQ6fV2mX5bmoggHTQe3p2gYOdnsrF9uCRJqKmpsbv/48ePx/bt21FcXIy+ffsiODi4yeJHWxKzSbSzPMvU1dVCqI8p4HnO5cSF876kJk/cxfMau75OLRxnfQ+bM0ShoqICFy9eRL9+/VSXnZIkBpPx1kTk2LETcerUcYwaNc6p/9cbOPAeauW568NFUXSZXddfjB8/Htu2bUNRUZHXkoeeJqdobNb22Lp1K44fP4633npLWcZxHCIiIpCUlNRgN9777rsPRUVFHtfZtm1bg/bdljGZTHjiiScUF2qZgIAA9OzZE+fOnWuhlrUcPgno3bt3OwXEOyIHn6s6eH2H6/hF4ymGpqqqCgMHDkSXLl0AWGc+H374YRw4cADbt293KaAnT56MyZMnK/+3lBWYLNCtg+Zw225KC/T58+fB8zwuXbqEkJAQl3U+3eHO2isITInhq6urdRJ4J04eg16nR2xMnEurzMABgzFwgLV83Y3SMugN1szDdXV1Tutaj2eN+9bpdKotFKNHj8aGDRuwf/9+n0vllZaWIj09Hf3794fFYnF5b5K6JqNLQjeXA/iAgACIogiLxWI36ATsLVWMMZSVMkS3h8vr1LfvAPTt63y/JEnCzm9/wOXsNIT+EIzefRN9Oj8ZrZbzWNKKMYaqWglGi+8ZnxljOHH0AMrLbiAwKBiHf/gOEVExLsWexWzG9eICVFaUod+g4aipqYZeCHD7PLQElloeeg+ioLrG2ZLojz7c0QodExOD6OhoHDhwALGxsQgICGiyib2WxGSUXMbTym7DMlod5zGUQRSYSyHubxpqgQasEwFaXfMJ6O+//x4ajQa9e/dW/b3jeB3jYtvjJ1PuhdFY5+SBpOEBnc71u+KtD6+trW2y79ro6GjExMTgwIEDiIuL8zgR29ot0IRvmM1mpKenY82aNZgxYwbCw8Nx7do17Ny5ExEREYiNjW3Qfrdv365qPfmZNpvNd4TngByH/uabb+KFF15A165dUV1djZMnT+LIkSN49tlnW7qJzY5PAvr777/HM888g65duyIzMxMajQbdu3cHYJ0B/e677/DYY4+p3p8cw2w0Gu2Wy/+7suAFBwc7ueqEhIQgNja2xVyzibaFyWRq0ZjnxlBXV4fi4mL069cPNTU1OH78OCIiIpQJJW/I8byOoofV+yS7SmRUV1eH/PxcdO/eQ5XLuFxWyZNLnZxQzJcvnvbt2yMpKQnnzp1Dz549Pbp927eHIS0tDQEBAS5dupjEYBGYkoVcEpldLCbHceB5HjzPw2z2bLmtrbbGQYaF+zZ41mg0uOuuUdi27SZOnf0BEVFh6NjRdw8GbzWhG1LySiYz/SyKCvLQZ8AQRLWLxYE9O5Bx8Qx69R1kt5619JeAnOwMaLU6dOrcFVqHLNStAVFiHuOcJcnqyu1v9Hq93XvGcRyGDh2Kr7/+GhcuXED//v19yiXSFmAScyme5bAIWwSLNR7a0ZXb8T1tzYgig4aHX125rX2q8/5KSkqQnZ2NgQMHqu4TgfrnX+2xRYBpmdM7rNFovPbhcvhLUyC/Ozt27MD58+d9mkwm2jazZs1CWVkZPv30U6xYsQJhYWEYOXIkfvOb32DQoEHed9AI9uzZowjt1157DTNnzvTqAdHWCQwMxMaNG/Haa6/hnnvugSiK6NmzJ+bMmYPnn3/+tvq+UotPArpHjx6KhTkmJgbr169X4o5jYmJQUlKCjRs3KgW/vZGUlAQAuHHjhp0AkGcCbeOiZTp16uTStdtdbCdBONJWxTNgzYbIGEPXrl0RHh6OyspK7Nu3D9OmTVNdyk0QBCcBLY+lRNE5NjbrSiYkSUL3ZGfvDneIIvPqhtoQK9vIkSORk5ODkydPYvTo0aq2uXr1KoqKijBixAinwZ61lrVjdm8GvY2A1mhuuWPqtHqYTfYTfrbcrLD+Do1Q1TQ7dHot7rprIr7+Zjt+OLAH99xzL0JCXbscZl8pxrlzZ6HVW5wSh3nSqYxZB86OQ+ewsEik9O7v1sW6qCAPGRfPID4hCT16DYCG5xET1xGXLpxGQmIygkNuucSLogCjsQ7FBXlISOxeX56s9SXGMosMgR7CsZtKqHEcB4PBYDdx3KFDB3Tu3BmnT59Gjx49PFrL2iIuyqYDACTJtSeERWDQ6289yJLIYLE0vdXZnwgWBp3e2cOuIUgSg8XMoDc47+/YsWMICAjwaQDPmO8TEYw59y1ardbr+Wm12iYtEdm+fXskJCTgzJkzSElJuW1zCBDOPP7443j88ceb/biTJk1qtlJJrYnBgwdj48aNLd2MVoNPitNWeMiuoBcuXLBbtm/fPtX769evH0JDQ5GZmWm3PDMzE926dXPp9jJmzBhcuXLFrl4YAJSVlSnWcIJwhyuLR1siJycHoaGhiIqKglarxV133QWdToddu3Y5eXK4w5WVmUmuaz9LkoTLly8hLq49wsMjVLeTSZ6TzjQUOV45IyNDycboCUmScOzYMYSGhtqFdzBmLZ/jKJ6tn9lbaW2t7lqtzuPEQFWldZDb0FDf8IhgjBo5EYJYi9279yqxocr+q+qw85sDOHT4G9TUlsFs1ECj4cHb/Gg0vGIxd/qRP7ddn9MgLycTe3duRW52ptOzcbOyHKeOHUJEZDT6Dx4Bvn7Q3H/wCFjMJmRcOA2z6VYZIlEQkJ+TBUmS0CWpe6tIGuYKiTGPVrjGlkqSGIPFjXLUarVOE0gDBw6ExWJBbm7ubVfSyl2dcneTmUyyuhgzxmCxSG1OPAPWfsQfruZyyS95n7bcuHFDif/1VGHBVdt8xdU9VGO04Hm+yY0bQ4YMgSAIOH36dJMehyAIQsYns4AkSXj55ZcBAE8//TSmTJmCxYsXY+jQoQgNDcWePXt8inHjeR4zZ87E//73PzzwwAPQ6/UoLy/HsWPH8PTTTwMAPvnkE2RnZ2PFihXQarUYO3Ystm3bhp07d+L+++8HYI0JNZlMSl03gnBHW7Y+m0wmFBYWom/fvoo4DQ4Oxl133YWvv/4a33//PX7yk594HaxYXWxvlcuxdd92pKioADU1NRg0aKjTZ57QaDRNUtKF4zgMGjQImZmZOHbsmF1uA1dcvnwZ5eXlmDhxop3wFSzMY61fUWDQ1FvAbLeTJAa9Xu+2n7tZAYSGN87qlNAlFn3KRuHcxR+wd89RTJ4yEpIk4eTxTGRcPg6JWRDfoS8SE/qjIEeLXgM5RLZTf7xKk+g0gq66WYGzp47i7MkjyM/JQr9BwxAeEQWTyYi0H/dCq9NhyIhxSikqAIhqF4P4hCRcuZyOLkkpCEE4tFotRFFEXnYmoqJjERoWAb4Vl2WySAy8GzdbxqzvSkPvpVm0CnSdm/kWWUTLE1/R0dEICQlBTk4OUlJSYLFYbpvYOnfvmujONA2r+OScH9U2hSQCEq+uDJQ7ROHWNXAMK0hPTwfP806lQL22qwFfg6IIOM6FqU1215Ru3IA1HDAlJQUXL15E7969ERYW5n0jgiCIRuDTyGbmzJlYsWIFioqKUF5ejq5du2LRokX429/+pgy+x48f71MD7rnnHmi1Wnz00UdISEhAVlYWfvOb3yA1NRWANRN3ZWWlMuA3GAz405/+hM8//xyrV69GcHAwbty4gVdeeYXqQhNecbSwtiVs3bdtiY2NxejRo5VaySNHjvS6L4vFogho2dDmSkBnZF5CQEAgOscnOH3mCY2GhygyaD3E4zaUkJAQ9O/fH8ePH0dxcbHbbJuCIODEiROIjo52CgfxNpaTJKtY1mrtrSeMWc9Np9M5uSWajAxmExAW0fhzHjAoGeUV5SgoOo993+two6wYdaZSBAfGYcSIEWjfIRKSxFB6jSH3MkNElDrRLkpwqUhCQiIwYvTdKLiajYvnTuDAnq+RmJSCmzfLYTIaMWrc3QgIDAKvtR8w9x04BIVXc5Bx8QwGpI6EKAoouVaI2tpq9OgzEDzv3cWzJbGIDB6qWYFJANfAhNhmQYI3I7Ysok31FvzExERcuHABJpMJGo01EV9rvn5qcGd9Zoy5deG+tU5TtKh5ESwMekPD7qEkMbts45LIgPo+1Ww2IysrC127dvXZ3b+h3hW2cdgcp97LiOf5JnXjBoBBgwYhKysLx44dw4QJE5w+F0WxURNiBEEQtvgkoMPDw/H222+jtrZWKeidmpqKN998E8ePH0dkZKTqWsy2TJkyBVOmTHH52eLFi52WtWvXzuVygvBGW7ZA5+TkICQkBO3atXP6LDk5GeXl5Th79iwEQcDQoUM9xhiLoqgkKmKSPLiwvzbV1VUoLLyKvn36++yCJ+/XXeKbxqDRaNCnTx9cvHgRR48exbRp05wGRdXV1Th06BBqa2sxYcIEu8/VDh5FgcFguKWeGLuVCEmn0zu52crxz2ERDTotJ8aOG4wd/6vA1aJz4DUB6Nd7LPr276rcC42GQ5duQEZfR4wAAQAASURBVMY5hpJiILaD9306njljQH46h6oy+foko31YAsqrTyLnyiUAwMAhoxERFQ1OY3UXtyUkNAJdu/VEVuYFdE3uibDwSOReyYDeEIAOnTr7XKe8uREY8zioliRrBmJfESUGi+zZITFoPbwD8jUymUxITEzEuXPnkJ+fj+TkZAiC4JNrbmvEXZfblvtiX2DMOTGhuu2c8zPYekVkZWVBEAT07NnTp/1KUsMTsUniLQu4L98Jcqx0U4YlBAUFoW/fvjh16hQ+++wzl+tMnjwZvXv3brI2EARx5+Dz6Eaj0SjiWaZjx45KvPL58+fRp08f/7SOIPxMW40rNJvNKCgoQO/evd0O9mWvjXPnziEvLw9DhgxBSkqK2/UFQYBer7cO1ARn68DlyxngOA7JPiQPk5Fd+2wHXP6C53lotVoMHjwYP/zwA3JychSrvCiKOHfuHE6dOgWO4zB8+HAnC7XaR8DqLsnb/S/DcRx0Oj3M5luxvzcrGHgeCLLvHhsMz/O4++7xuHA+Gz17JSIo2NnK1C4WCAkD8rIY2sXCY/kfwBqXa0txtlU8R7Vn0Orlz7TogKGorEhG2fUahAXHK+1xhOM49OgzAHk5l3Hx3En0HzQc14oLkZzSG7xWB01rr2fMrEJX7+a6WSdbfJ8AMttYDS2iZwEN3BLRsbGxCA4ORk5ODpKTk2GxWNq8gHYXZ+7N+nw74ZiYUO02rvoq6zKG9PR0tGvXDjExMar36UqU+4Lt++DrpGpTJxMDgP79+yMwMFDx6LCF53mfrhVBEIQn/G4e+Oabb0hAE60Sq8tg27R65OXlQZIkl5npZTQaDYYOHYrk5GT8+OOPOHjwIDIyMjBq1CiXVmtZQIsic3JtF0URWVcy0aljPIKDg31qK8fdylotiszv9VDlrNjJyck4f/48jh07hoSEBFy/fh0//vgjKioq0KVLFwwfPtxpsg+4FfPt/Tw4MOlW2x2tNjqdzs7tvaqy8fHPjgQE6jF4iPsJDI7j0CUZOH+CoSgfiE/0vD9bAV1+DSgr4hDVgaFDkvM1iY6PhHgsCmXFQFg75jaTdmBQMJJ79sXFsydw6viPABgSunZv9dZnGYvIoHej8xs632a2ie21iBIC3dTQtUUu65aYmIj09HSlvqggCG3mWjriKduzp/jn2w3G5MoE6voGSWJwN78giUDpjWsoLy/H6NGjfepvpEbGlN8qUcipjn+WaQ43bq1Wi169ern87HbLbE8QRMuiagpRFEVUVVV5XEeSJKxduxZHjx71S8MIwt+05fjnnJwcBAcHq5pBj4yMxNSpUzFu3DhUVVVh69atOHz4sNPgRc667Srjb35+LoxGI7p3b4j12T5mWHQTA9kY5MyuQ4YMQVVVFbZv346vv/4agiDg7rvvxl133eVSPAPqE+hYE9/ccjt0tN4C1pq+Gg0HwcJQWw2ENiL+uaG6OzySQ2Q0UJBjLXXjCXnuoPYmUJTFITicoX1X19twHBDZnqGmgoPFpHFrcdJoeCQl90JgUDBulBQjtn0nBAWHtMrSVa4QPEyoMKZ+wkVGlJjdPi0Sc/nsuILneSQmJkIUReTn51u3b2LR0ZR4MjK35snMmppqO+8SfyBnFfeGtUKA5+zw6enp0Ol0SilQNVg9jRrfF8u3zVcLNM/zLsW+1ZtH12YniQiCuDPx2mPt3r0ba9euhdFoRFxcHH7/+987ddqlpaX4+9//joyMjCZrKEE0ltY8YPOExWJBQUEBevToodraIFtoO3fujOPHj+PChQuoqzNh9KixdutJotnpujDGcDH9PEJCQtGhQyef2+sYJyv5YHlRfwzr4C0+Ph4dO3ZEcXExBg4ciP79+3sciNnGMXtDtrAIAqDTua4LzPM8goKCYay9CcDcoPhnrZaDhgcEkYE553FTRZduHE4dYbiaw9A1xf21lhhgNgF56Rx0BiC+B/Mo3CPjgJJ8hvJiDcI8lBnX6w3o2WcgTqYdRGJSD6XUVVtAYsxjnLIkAbwPWsHkwrJqERkMKhLqaTQaxMXFITAwEDk5OejWrRtEUYQoij5b/FoD7vINWMsJts7+WBRF7NixFbxWi4EDU9E1Mckvz7LVegunuu3263ivd11XZ0ROTo5SL1wt/hDPgLU/53TuJ9TcwXFWq7XstcNxHLRaLXQ6nbIvs9kMs9nsl3YSBEE0JR57wNzcXKxZs0Yps3Ht2jW7jNsAcOTIESxZsgQZGRkIDQ3Fc88917QtJogG0lYFdH5+PkRR9Oi+7Q6DwYARI0aid+++yM7Owo0bN+oT0ch1SgUny3xubjbKym6gX7+BTgNH2VrgCceBVVNcdllMcByHu+66C7/4xS8wePBgr1YMX9wXZQuqbDlyty3HcbhZabXYtosJcJpAcL0NoNVx0Bs48FprNtvGXKagEA6xHYHiq4Cxzv1JigJD/kUOTAISejGnsjSO6PRAWBRQVszcZlMGAF6rRafOXTFxygzEtu/Y5qxJ7uo1A/CaSdsROf6ZsVsWR4tKLwxZZCQmJuLq1auK9bmtioq2mECspPQ6zBYzeJ7Hjz8ewO7vvkFFRblf9i1Y3FuhZfHsbV4h60omJEnyKXmYJ5dwX7E2v2ETCnIyMb1ej6CgIBgMBrvvC71ej8DAwCavG00QxJ0LYwxZWVmN3o/HXmrnzp3Q6/V4+OGHsXTpUsyYMQM3btzAyZMnIQgC1qxZg7/97W+oqalB//798dZbb2Hw4MGNbhRBNAWtedDmiZycHAQGBiIuLs7nbeWkMX1694Neb8DJU8edPrdFFEWcPn0CkRGR6Jro7B7I81ro9Qa3IpHjOKfBjxw350/kOGjAGtsWFBSkajtf3LdtJw+8WYUqbogIi+BhMOgQGBiIgIBAt1Yrq3DWgOfty8BYpMYlXEtI4sBx1oRirmCMIT8DMNYA8SkMBnWXDO06chAFoOya+xG4LPyCQ0KhcZGtu7XjSeD68uyKEoMgSBDMDBYTg5ybz+LDPmzduK9evWrdryi6TIzUmpEk95NOrbkvLioqhEajwZzZ8zB82ChUVJRjx9dbcfLkMb+407sSsmrFM2MMlzMvIS42DpGRHlxCHGhM4jDXDWlYR2X12AmCXq932z/yPI/AwMA2NwlHEETDuX79Op599lm8++67+NOf/oQ//vGPqK6u9rjN6NGjERsb6/TjmGl/3759dp/HxcXh9OnTjW6zxx4qPT0dv/rVrzBmzBgAwMCBAyFJEvbt24cNGzYgLy8PWq0Ws2fPxrRp0xrdGIJoKtpqAjGLxYKrV6+ie/fuDXIjFOuTxuj1BvTr2x/HT6ShqKjArWt2ZmY6qmuqMWniFJfHkwc1BoMBRmOdkwC3Fba2SI0Uh47IQt3XuHa18azObuju1xVFhpsVIjp31SvLeJ63c1eU4TjXmbKl+rjZQJ2mwZMNegOHjgkMV3MAnV5yKr9krAVu3uAQ10VCaJT6/Ya14xEQJKHkqoDoju6/Mnhea3U1boMDX5FZ45Q1Lp5dtZ7GkshQbRTt4leZxCAKALRWK7dOhS84z/OIi4tDQECAkmFekhgsFouSgb4t4Km7bc0ZuIuLChEdHQO93oDk5BTExyfg1KnjuHDxHHJyszFq5BjExamoGecGQWDQ8LeSDcoxz2q8YwqLClBdU42BA9UbKkRRfdiKWhhrmAXalxCkgIAAmM1mWCyWRlfPkOO/KYdY66Gurg6BgYEt3QwArastzYnFYlFCKVqS6upqzJw5E/Pnz8eiRYsAAMuWLcNjjz2G9evXu9xm//796NWrF5YuXQq9/tbYa926dYiKsh/gfPLJJ/h//+//KcYdnU6H6dOnN7rdHr/Nb968iREjRtgtmzBhAtLS0pCXl4cOHTrgz3/+M4lnotXTFsUzABQUFEAQhAa5b0sSg2gT99a9e0+EBIfg5MljLq+H2WzC2XNn0KF9R3To0NHpc42GV1ynNRoNdDq9i3Vcdyme3H8bSkPc/NQ+Blqtegtq+Q0TJAmIiLLfxlUSLXex4BLq3cS5xl2njl04BIVYXbkLc+1/bpRYk4K18zGsXctrEROvRU0lQ22V+wuo4XlwGk2bSR7mSEOt0ExiMJkkmM0MRrPz9REFBmZTF9ob8uRLYmIi8vPzIQgCjKL1+TCZTG0mGaKnd7619sdGoxFl5TfQof2t/i8gIAAjRozG3XdPhUajweEjhxot6OT5A1/EMwBkZl5CQEAA4uO7qJoMbGzZKndwnMbn5HoNQa/X+yX2X34HidbBzZs3sWzZspZuBgCriHzmmWdauhktwp///GcUFha2dDOwevVqZGdnY86cOcqyBQsWYM+ePfj6669dblNRUYHVq1fjvvvuw5QpU5SfK1eu4L777lPWO3XqFDp27IiHHnoIs2fPxuzZszFz5ky/TBp4HIEGBAQ4HSQ+Ph56vR4TJ07EypUrlfqrMmlpaY1uFEH4m9Y6YPNGdnY2AgICfHbfdjVw4nkeAwYMRnlFOXJyrjhtc/7CWZjNJgwclOpynzqd1uF/ndPgxp3rriT5vwa3rwMrtZZdjvPNBbnkmtW11llAO2ed5dz0uLLWkFjjLPVaLYeBwzUYOcn5p+9oho7dPCcNc0QWxe068tBogOv57rOcybGNbSV5mCOeBbTr5YwxmM1W11vBQ7ZtwWJfG9obsoAWBAFXr161uoazWyK6tdezt3r8uP5MksRW2/7iYutg0pWHTmxMHAYMGIzq6ioUFRU06jiCwKxeBT6I55qaahQWXkW3pO7geV7VdmIDkxJ6w+r90zT7dqSxA11RYM3WVsI7dXV1WLhwIbKzs1u6KRBFEYsXL74jdcvatWvxwQcftHQzAABfffUVevToYVc5pXv37ggPD8eXX37pcpvp06c7GVEyMzNRVFSkeE0DwLvvvotPP/0Uw4YNw9KlS/363HnsmdxZeOLj4/HEE0+4/Ozw4cMYOnRo41tGEH6kLQpoQRCQn5+Pbt26+WxtFQXXCbO6dOmKi+nncfrMSSQkJCqDk5qaaqSnX0DXxG6IinSuGW2NcXXuLvR6e1duT+30loHWV3wV0GoHqr5YnwGg9LoRQSEa6A325+6cdRbQuMn0LOewEiQggOf8HjNukdSV0HFEvsZaHYfI9jzKikV0TmHg3WSUbmuxz7ZY6gWq6xAEBleJkyyWWwLIUyIyq9CWIOoZeDfPgC0ajQbt27eHwWBATk4OwmLjwXMcdHprX2Y0GhEQENBqJys8dbetuf5zUXEh9HoDIiNdxzh0jk9AQEAAMjMvoWPH+EYdy1vJOUcyL2eAMYbk5BQA9fWYPVQ3kCTWJCUE5TAdUWLQNjCZmC/IE5EN6b8kyT+lu1qS08eqUVnWRDMhDSQ8SosBQ1yXifTGjh07lIo9y5cvx8iRI5GQkIBPPvkE/fv3x5kzZyAIAt544w2EhITg4sWL2LJlC86dO4c//OEP+NWvfgW9Xo8DBw6A4zh88cUXyMjIQGlpKTZs2ACe5zF16lTMnz8fEyZMQF1dHd555x1UVlbi8uXLqKmpwcsvv4zhw4dj3759OHnyJMrLy7F8+XL06tULc+fO9XoOly9fxpdffonNmzfj888/x9KlS3H8+HEkJiZi5cqVGDVqFACrQF+1ahWKiopw9epV5OfnY+nSpfjpT3+Ka9euYdu2bdi4cSNWrVqFJUuW4OzZs/jmm2/QrVs3HDx4EN988w3Cw8Px448/YtSoUVi8eLHS53/22We4ePEiSktLkZ6ejieffBIPP/wwysvL8cUXX2D79u341a9+hVOnTuE///kPQkJCsGrVKowYMQJXrlzBtm3bAABvv/02YmJisHz5ctTV1eG1115DTEwMRFHE3r178dJLL9nltsrMzMSHH36I6Oho/N///R9KSkqQmpqKMWPG4IUXXgAAbNu2Dfv370dVVRXOnDmDWbNm4fe//73S9qlTp4LneWzfvh0mkwkZGRmYMmWK03Xu1KkTTp06pfrZ2rp1K37yk5/YJbodPXo0OnXqhH379uGTTz7BunXrsGbNGkyePFn1ft3hUUAXFxfjhRdesPMvB4CioiK8/PLLdssYYygvL0dxcTF++9vfNrphBOFP2qKA9uS+LUkMHADOxWDc08CJ4zgMGjQE3333LS5lXESf3v0AAGfOnAQA9B8wyOV2WjdliTQaDfR6PUwmk8sEYvbt8q+Alo+n9t6qFaW+iEDGGEqvmxAd53obntcqAtqdeAZuZXoWJAZORbkjXzE3cBDJ21yL2HgtbhSKuFEkIrZz23TT9kh9OSudC1HiKg5asNhnNvZmYRYFBpMgIUjv/fmS65x36dIF2dnZ6NFfgCZIh8B6gS+KIsxmMwytNKizLcY/M8ZQVFSI9u07uO3HeJ5Ht6TuuHDxHGpqqhEc3DAR4SuiKCArKwMdO8YjJCQUgOdr3FSu28CtSVJW71XU1JM4coymrwncZAs/0bqYOXMm1q5dC8DqQgwAffv2xdy5c/Hoo49CEAT06NED3bp1wzPPPIPAwEAcOHAAOTk5OH36NF555RUcPHgQHMfh22+/xdtvv41jx44p/eKmTZuwYsUKJCQkAAAee+wxPPfcc+jfvz8AYM6cOXjooYdw7NgxTJo0CZs3b0ZdXZ3SFjUEBgYiMzMTOTk52LlzJz744ANkZ2fjiSeewLx583DkyBFER0dj2bJlGDduHJ5++mkAwJIlS7BgwQIcOHAAoaGhyM3NxYkTJ/Dll19i+fLl+Ne//oXw8HBs3boV69evx9q1a8HzPHbs2IFf/vKXSE5OxowZM7Bq1SpotVqsXLkSAPCPf/wDixcvRufOnTFmzBiMGjUKL7/8MjZu3Kgk5Lr//vuxfPly7N69G0lJSfjZz36GvXv34tlnn1Wu1dtvv42tW7cqCbaKi4vx5JNP4siRIwCsscoPPvgg3n33XeU4s2bNwsSJE7FkyRIAVhF79OhRvPnmmwCALVu2YNGiRYiJicHDDz8MAIiIiFCuZUVFBSRJsrM+ywQHB/uULXvr1q2KiJdZuHCh8ve2bduwePFiLFq0CMePH3eKlfYVr6Ogy5cvu1x+4cKFRh2YIJqTtiigMzIyEBgYiA4d7BPWiOKtwRHHMXAaqzjjOKuV09vAqX1cB3TsGI/z588guVt31NbW4kp2Fnr16osQNwNCrYd6R1qtDoLgfVAsiQzQ+XewxfO86nurJhmUbDVWS021BLNJQmSUczy43D7ZeuJJl8uuv6LEwABoeM+Jy6xtVWdVlxggNMB6w3EcOBshERyuQVAoh+v5AmLind3TbwcsIoPOxX2yln27dQ1F0d6yZRHdu2/bUmuUEKhznWjPFvm5SUxMtFpXrhWiU5fOsEgc9PUCX04A4zjB3Rpoi/HPlZUVqKurdZn/wZbk5BScv3AWly9nYMCA5qk6kpGRDqPRiF49+yjLGLPG37uaRHXngeQPbCcXRBFojvxDPM/7JKCZ1HQTCM1NQy29bYkFCxZg7NixAKzfO6GhocjJyQEAJCYmIikpCTk5OXjkkUcAAD/96U8BAJs2bUJsbKzSn86aNQubNm1CaWkpEhISkJaWhoMHD2LDhg3YsGEDAKv4TUlJQV5enk+Z7G3p1KkTevbsie3bt+N3v/sdOI5Dhw4d8NJLL+HJJ5/Ehg0b8MADD+Dzzz+vL4f3IwBr7PfAgQNx5coVTJkyBX36WN/nmTNnIiUlBYMHD4Yoili6dCnee+89ZSwydepUvPvuuxg9ejRMJhPeeecd3HPPPVi+fDkAoKqqCqmpqcjLywPP82jXzupFOG3aNPTo0QOANX/VRx995PG8xo8fj/DwcOX/sLAw5T4AwNGjR3H16lW0b99eWT8uLg6lpaXKOq+//jp69OihtM1kMiE1NRXFxcXKOuvWrVP+lr+/3Blo1Na6v3z5MvLz8zF+/Hi360ybNg3h4eH4+c9/jm+//dYu5roheOz6AgICMHbsWISFhXn9wpckCTdu3FAeFIJoLUiS1Gpj7txRVVWF/Px8DBgwwGHAYj8wYAxgou9JugYNTMWOr7fi3LkzqKysgF6vR58+/VyuK1vDPGEwGCB6CbjzNOBrKGpd25mHkjr2+/NNGFbcsKrciCjXXans+i4IFlUWaOvfDDzPebynHAfo9BwkEV5dFC0Sa9BomnNxbWM6a5F7wYLqCgmhkW3XXdsdnhJ9ybrPlWXLk/u2/XrWckV6vfdnjOd5tG/fATq9HkUFeejYuTMsImBrwDabzdBoNC2eRdUWT+9aa66GUCTHP7f3LKBDQkLRsWM8Lmdlol+/gU1es9hkNuHc+TPo0KET2re3n0yVGOD4FjaV67YMZ5PIQbAwgAG8Vn2G7YYge0Cp+R5XSoK1ra/8O5pnn30WhYWF+Pjjj6HVamE2m536iYCAAKftzGYz8vPzFU+Izp07KxOPAHDs2DGEhIT4ZF32FdvnXp4EyM7OxvHjxyFJEl566SWvnkK253bp0iWUlJSgY8db/RDHcZg9ezYA4MyZM6iqqsLTTz+N5ORk1e2UPQU9MXbsWIwYMQIbN25EeXk5MjMz7d45s9kMAMjNzVWOHR8fr+TCKi8vR1ZWFv7yl79g0qRJqtoVGRkJvV6Pmpoap89qamqcDEju2LJlC6ZMmeL1Wo8bNw5dunTB9evXVe3XEx6/dSdOnIhf/vKXPu3wTkwFT7RuWuuAzROXLl0Cx3HK7CHgLJ4bQ0REJJKSknEp4yIYYxg8aCgMetcdjyfrs4zVzc77eqIEaP043lRrLXY3mJLdwOUM474OhivKRAQEaBAY7H7wqNVqwZh764nsWq436GE2mWGRgAAvp6XVWWtIy2HpnkS0RWjY869xkfEsqj2PqxkWlFwVW52A9oc7qcQYRMl1nLLssurKLdSsNmadWTN18zznNiO7jDVRFIcOHTqjsDAPgiDCotU4ldsymUz1z3DTCjm1eJpLaM19cVFRIcLCwlW5Zad074G9+75D/tU8dElIbNJ2nT9/FmazGYMGOid3lCRm9xw1peu2jONzJggMgmAV0domFNJq3bgFEs9tjg8//BDfffcd1qxZg/DwcKxatUrVdgsWLMDOnTuxefNm/OxnP8O5c+fw6KOP2rnmlpaWoqqqCqGhoXbbmkwmv4fAhIWF2f0GrGK6Z8+eqo8tP+P5+flISUlxe6zs7GwnAd3Yc7pw4QKefPJJrFy5Ej//+c9RXl6OHTt2KJ+PHz8eKSkpWLNmDSZOnIja2lqYzWY89NBDTm1zxGw2u/WW6tevn8ts4IWFhR4tyrZs3boVf/jDH1StGxkZiZiYGFXresLjN25Dgqxl1wqCaC205kGbK0RRREZGBjp37qzEhfhTPMv0r7eeBAeHICWlp8t1fHVp9oa/k2O5qzvtfFz7/3U6PQIDAxEUFIyAgEClXIqvg7/yMgHRcZ6TOfE8D42H+r8SGHQ6HbRaHXQ6HSRJvu7u9sfZWbN5LQetG9d4UbLWOG4IrgQZz3No14FH+TWxVblIXs204Mx+I0oLhUZ7m7jLxi3Vl6ty3L1F9C1Bm0Wsz77s5V3gOA0kEejQKQGCxYL87CyrQHLYjjEGo9HYarxsPHlOtNYSXKIo4Pr1Yq/WZ5kOHTohODgYmZnpTdqu6ppqXLp0AUlJyS4TmzmGeQhC04pHT3kuRIHBZFT3bDcENV4W1uzmfj804Wc4jlPGZSdPnsSf/vQnLFy4UHEfVjtmGz9+PFasWIEtW7bgH//4B8xmM1577TXl85SUFEiShE8++cRuu7y8PPz3v/91aktjyc3NBWA1Psri9+OPP7Zbp6KiAv/85z/d7qNbt27QarX4+OOP7fr02tpa7Nq1C0lJSS4/N5lMeP/9931us+25P/HEE+jatatSvtjxugQGBmLt2rUwGo145ZVX8O9//xvr1q1T7ltkZCSio6Px+eefK9ZqwPod9fe//93td9SMGTOQnp6O2tpaZdmVK1dQVlaGWbNmeT2Hy5cvIzc3F3fddZfXdW/evIn8/HzVFnJPeBTQ8fG+Z5lUa24niOairQno3NxcGI1GZdZSFJrGqhAUFIy7Jv0Ekybe7VYka7U6v1oUmiJ/kBrLm61wNxgCoNfrG50xurZGgrGWIbaDs2uZI3q9+8Ef43ho6+N8dHo9WP35uMqwy3FQrM4Wm9AEnnctoi2NePbdudqHx1hL6NTebB3vVWmhgOIcAeCAnPMWXDpm9liv2hvu3LElybU4VOu+raxf/yyazZ6FtyRyADi0i+2AdtFxOHc6DTdKS2B28Q7JmblbGk/lq4DWm0CspOQ6RFH0Gv8so9FokJzcA9euFaOysqLJ2nXm9ElwHIf+/VwndwRu9W2SyJqkf7VFTV8rigwmkzXrvD8nTL15CEkig9jGM27fKURFRSE3Nxcmkwn79+8HYC2Ba7FY8M0336C8vBxFRUUoKSkBYO3f5GSctnz22Wf44YcfMH36dKXE7t69exXxNmHCBPTq1QsrV67EypUrceTIEaxfvx7PP/88pk+frrSltLQUZWVlOHXqlMvjeCIvL0/5e/Xq1Zg6dSrGjBmDlJQUTJ48GWvXrsXSpUtx+PBhbN26FY8//jgeeOAB5bwA2B0zJCQECxcuxJ49ezB37lxs3boVX331FZ555hmMHDkSISEhmDdvHvbu3YvHH38cP/zwA3bu3IkFCxYoBkx5f7bfL7JlWz6mHCedkZGBa9euIT8/HwUFBcjIyEB5eTny8vJw4MAB5RwrKiqQk5ODRx99FA8++CAGDBiA2NhYpKWl2VmPn3rqKaSnp2POnDnYs2cPvv/+eyxcuBDDhw9XxpJz587FvHnzlG3mzp2LmJgY/Oc//1GW/fOf/0RqaiomTpwIAEhPT8fw4cOxadMmp3uwdetWTJo0CUFBQU7LH330URw9ehSAdQJ3+fLlWLZsmRLH3RhaT+AUQTQRbU1Ap6enIzQ0FJ06dXJKVuRvYmJiPX7eFLGVksQ8xgP7Cs/zHi1bjN2yyhgMzrXtG8qN69YvqfYdA2ERqtyup+EBnte5/WLmtTq7GGitTg9AgEYjAbC/97LrNgDUmRm0PBBUL5xlV07byRZfag87tdvNBENwmHUQW3NTQli7lnXjrq4QkXvBgtAoDboP0qOsSMTVTAsuHDEhrrMWHbtp3ZbccofgwY3bFZ7ipl0hW5G1Gg4WM4Pe4CKTvlgvROtds1OHj8WB77/GkQN7MfEn9yIoKtTOjRuwDg4a48InSVKj3cC9CbjW2hcXFRVCo9EgNlb9oCq5W3ecPXsKmZcvYUjqcL+3qazsBrJzstC7dz8EBwe7XU/OLWFpBo8QXyYdJdHa/2g0DFot57HkllrcJY2Umun8Cf+wYMECHDx4EHfffTeWLl2KSZMm4eOPP8Z3332H5cuXY/78+Vi3bh1Wr16NPn364ODBgyguLsZHH32Ee++9VzHuxcbG4sKFCzh79izKysoUT5wBAwZgx44d0Ol0WLt2LZYtW4YPPvgAn3/+OSZNmoR33nlHeadmz56Nr776ClOmTMGSJUswcOBAn87l008/hSiKKCkpQWxsrJ0FfNWqVVi2bBk2bNiAjRs3YuTIkXj99dcRFxeHtLQ0RTC+9957mD9/PgYMGAAAePHFF6HRaLBhwwYcOXIEEyZMwKuvvqp4JK5YsQKANe53165dGDx4MF588UX06tULFRUVWLNmDQCrgExNTYXRaFRcsVetWoUnnngCY8aMwZAhQ/DrX/8a8+bNU4TlG2+8gdGjR2POnDlYvnw55s2bh9/+9rdYvXo1DAYDAgIC8N5776GwsBC1tbUQRREBAQHYuHEjhg0bhqeeegrV1dX497//jQULFqB379547rnnMG7cOOW6lJeX213D0NBQbNmyBa+++ipKS0thNBpRVVWF9evXK8aduro6lJaWoqKiwukebN26Fb/73e+cloeFhSE9PR0zZ87EtGnTEBcXh4cffhjDhg3z6R67g2Otxe+rGXHla98cREdH22WrI5oexpjL5ARNTVRUFMrKynzerry8HJs3b8aQIUPQv39/mF24jDYXPK91mbijsWg9uBw3BEEQPFrf5KRP/hTPAHDqaC2qboqYPivB6QvBFp2OA6/lUFtb6zT402q1sHA6mB2smEFaDpLFBItZUhIC8VoO2noxKEgMVSarWgnSa2CwcRG3ii8GswjUWuwVjSRBVUIxjUYDQ4D7fBZnfzAiKJRDtwEtV0bJbGS4cMQInufQa7hBeaYEM8PVyxaUFojQGYDOPfSIjFXn6i8TqOURoHMRA+7wXlvvg+81Wm337+p9MJskSBJQYzShsqYOAHCzshwH936LsPBwTJk6FcEG1/FkAQG+P+eCIEAQhEa/72az5FZES5KEurpa1x/6AVEUUHmzEpERUT57zez4eiv0Oj0mT74VghYREYmKCvfvNQD8cHAfigoL8MADv3B5zS0WC2pqqhER4Xu23+/27ER5+Q1MnzbTY6Z1ec6jOeYmGtOHchrrs+4t9t8Toiiirq7Obpmcl0DOlG8yAgGBzscwGHQICXXdpzX12Mw2IZQ7CgoKWmVG/dYKYwx//OMfsWjRIiVXDGMMlZWVWLVqFaZPn66UrmoK/vrXv+Ktt97ySzKqtsKePXtw+vRpPPPMM8oyo9GIM2fOYMeOHYqwv50wm83o1KmTy8/IAk3c1rTWmDt3pKenQ6PRoHv37naW05agqTL7ihKDFv61QHuCSRwMBoNfz0eSGMpLBcR18u7iLhttHK0ncgkio9mFRQUcAgICIIl1EEVmdd22zb5sY1muNUvgDYDWxvVbw3MwM8nJ+qphDEziIIrwKKRdZeC2JThMg+rKlrMmiiLD5VMmSCLQI1VvJ0C1eg6JvfWI7ighN92MK2fMCGunQUIPHQKC1VlYzaLkUkA74qv7toxtHLMg1N/f+nslijZu0DaJ3MLCIzFwyCgcP7Ifhw8ewqSJ410+e3JNdl9yF1gsFoii2CgrNGOeXYib0n27qKgAaWmHUVVdhY4d4zFkyHCEhoR63xBWy0Z5eVmDSlJ1794DubnZyM3NRrdu3ZXljDHk5eXg+Ik01NXVIjExCYMHDUFgYJCHvdmfT3FxIVIHD/MqqprTqN8YDwUmARYzg8bgPjzEG7Ibt9yPOmbczr/CcDUH6DMICI+6/crsEbfYunUrjh8/jrfeektZxnEcIiIikJSU1GAX3fvuuw9FRUUe19m2bVuD9t2WMZlMeOKJJ5xcqAMCAtCzZ0+cO3euhVrWcpCAJm5rWqvLoCssFgsuX76Mrl27IjAw0K/xY9bkVJLqCQWtVtdkAlrOZuyv2GqO4xAUFKQIAPm3/JlOp4NG499zuVkuQhCAdjGe96vR3MpK65hF1touDSQXBaoFiYHXaxEQaIDFUmfnus0Yc3LNrjEzhOpvucZLjLnMDM1xHDi+vs60BEgCXMbhehsoB4VxKLtmtfzoVJRk8ieMMeSet6C2iiF5oB6BIa7bGhKhQe9hBly/KqIwy4LzP5rQvqsWHRK1Xt1JRZVu3A11kXesy22x3KrnbhuywaCxK9/ToVMCevYdgPRzp3H2bJRLCwtjDCaTCYGBgareMUEQlH7BYrE0wgXc8+diAycbPFFbW4PjJ9KQl5eD0NAw9OndD5cyLuJ///sKffr0R+9efb1OJBTL5atUxj/bEhsTh/DwCGRkpisC+ubNSqQdO4Li4kJERbZDYpeuuJRxEQUF+RjQfzC6d+/hOZZXknDy5DGEhISie/cebtdrbjwlEPOFxlZikMscAdb8IHL3WXrNKp7lv0lA396YzWakp6djzZo1mDFjBsLDw3Ht2jXs3LkTERERiI31HJ7mju3bt6taTx5jeMoufTshx6G/+eabeOGFF9C1a1dUV1fj5MmTOHLkCJ599tmWbmKzQwKauK1pSwL6ypUrsFgsSvIwF7qqQVhFpLWDN5mMXkW0Vqvze3kHRyQJbrNMNwTHMj6SJN1K0GHxf3mfGyVWt92oaC8C2kao2VpPNBoNdDodRMl1Iimx3h1Rp9MhMEi0q7FtcbGNxBiqLRJC9VbB5Wodp7ZpOGj01nshOsQPuiphZUtweH0cdKWEiJjmjYMuzhFQdk1Ep2St12NzGg5xCVpExlnLbxVdEVBWJCKhpw7h0Z63NYsSAj3EfIoSg9RAFxHbOGgZi5mB19q/9yJj0PA8RJv4+ZRe/VBVWYFjx44hMjISnTt3dtq/JEkwm82q3mPbSR1BEKDX6xs0ueWtFr0/LdCSJOHSpYs4c/YkGGPo33+QIpZTUnri+Ik0nDlzEtnZWRg6ZIRHcVxUXAiDwYCoyHY+t4PjOHRP7oFjx4/g+vVrKCouxIULZ8HzPIYMGY7uyT3qE46lIO3YYRw7fgRXrlzG0KEjEB3tuoxKTs4VlFeUY/To8X6tgNBYOC99glpEkSmhKGqQJGaXCkLD8ZAkq3CWv8qqqxguX2AIDQd0euBGCZDUgzXY0k20fmbNmoWysjJ8+umnWLFiBcLCwjBy5Ej85je/waBB7pPu+YM9e/YoQvu1117DzJkz0a9fvyY9ZksTGBiIjRs34rXXXsM999wDURTRs2dPzJkzB88//3yrKaPYnPgUA33hwgUA1sGqPMjPyMjAhx9+iPLycgwfPhyPPvpoq5+NoRjoOwdXcafNga8x0IwxbN26FZIk4f7777eKIIv7eEJf0On0yjtptU65F9E6nQ56N/WgveGLVZnnuWaxXEoSg9nkfz/4owescfXDxgZ7vNeGAM7umpjNZpjNZiVO1SJKuGlyfS/CDFroeKv1sba2VhHE1WbJreuwntcgWK9BtUn0KbmVaGF2Hg8BgUEe76UoMJz83oiOSVp07Oa9/rc7SgsFGGvUt1MSGa7ni4hqz6NrX98zxN8sE5F30QJjLUNkrAaJffRuk4xpOA7hAfYTJLb32miRUCc0/AUN1PEI8GCKY4yhwihAFASYzSZlOcdxgEbAgd3foqa6CtOmTUNERITLfQQFBXkc2LiKKdXr9Q36DjfWue9nrc+wf3JRXC+5hrS0w6ioKPforl1YWIBjx6xu3V0SEjF48DCnLK2MMfx38wbExbXHmNH29UbVxEAD1nf6v5s3QJJEMMbcumvfcus+irq6OiQmJiE4yDk52JXsLAQGBuKnP7mvyWoqNwR/TqwaDJwqccska0ZvR+rqbn2vm00MZ9Ks6/QfyqGqErh0lqHPIM7OCk0x0ARB+IrfYqBffvllTJw4UUn/XlFRgZUrV6K2thYTJkxAXV0dvvjiC/zyl79sdKMJorFYS6q0DQt0SUkJbty4gZEjR95y1fVD02UXZtv/DYYAlyK6MeIZsFpG9SoTxFjFWnMIaP/v02JmqCwXkZTiebBj674to9VqIUmS4h7vyWgnSAw63irAZfdvSWIe427NogTO7HtmaE4DQJL/9p5wi9dyCAjmUNOIUlbGGgk55y0A59uTEBqlQWLvhpVXC4vi0XukBtdyBRRcFmAIEhDf3fUEgOTFjdsx8ZuvCCLz+A0s1O/eUQAzxqDltRg+dgL27dyB3bt3Y9q0aS7FjezK7Q5b67NyXEGATufb9fVmffZHLgqj0YhTp44j60omgoKCMW7sRMTHJ7htZ8eOnXDvvTNw4cI5nDt/BgWFBRjQfxBSUnoq17SisgJGY53q+s+u0Ov16NWzNwoKr2Lw4KFoH+e6lCfHcejSpSs6duyEM2dOIfNyBpiLTl6n02FI6vBWJZ6BxsU/OyKK6ty43c1P8bwWkmSGJDFcOssgWIC+QzjoDRwi2jFoeKD0OrlxEwTRdPgkoFNTU/HEE08o///zn/9EdXU15s+fj3vvvRcAnAqWE0RL0VbEM2BNHqbVapGcnAwAXhOIeSvdJONqIHxLRJsU1+DGimfAKgj0Kj0OGfN/OStX+DOOXKas1HrNvMY/u5hM0Gg0dkJH9NA+28/0ej0EQYBJxTNtaoCws/XO9Oa+LRMcpsHNG2KD49lLrorgOKD/2ADoXJRyaio0Gg4duupgrGG4licgJp6HIdD1Obtz4xYlBrGRGf4c46Adkd3DOY0GnEYDZnPvGQOCgkMwZvxE7Nn1Lb7//ntMmTLFSeSIoghBEFzmM3BXW1Vebjvx5g1vj1xj+mLGGLKyMnHy1HFYLGb07tUXffsOUNU+nteiX7+BSExMQtqxIzh+4iiuXMnE0KEjERMTi+Kihsc/2zJgwGDVSch0Oj1SU4chNdU/pVSaC/8KaOa1EgNj7us6W+OgTbiSzlBVCaT05RASequcX2Q7hjLZjbuVTUQQBHF74FOP2L37rSyTp06dwuHDh9GxY0dMnTpVWe5ptpsgmpO2IqBNJhOys7ORnJysDAo9ja1lAewtyZfVcul6kGndhwE8r6138W6ceBYl5lEMuqIpbo8kWetmm80STEb/uMA7cqNEgFYLhEV6ni3g3fSutgM6T5fMNlOz7ElgaURdZ09w3C1Xc7Vxg0FhGljMgMXkfV1HJJGhtFBARCzfrOLZlo7drO9PYZb7MlTukoT5auF3BWOe3xnbz3hHK3T9uxPRLhYjRo5EYWEh0tLSXO7HbDYr7v8WkSnPlSvrs4ynz1zRVPHPZWU38O3O/+HI0UOIiIjAPVOnY9CgIT6JewAIDQ3DxAmTMXbsRJjMJuzctQOHjxxE/tVchIdHIMiFKzVhjz8FtDyB6glPj4xGo8G1Ag7Xi4D4RCA6Tu67AK2OQ7tYDhYzcLPCb00mCIKwwycLdEFBASorK3Hjxg188MEH4DgOjz32mNKxiqKIkydP4qGHHmqSxhKEL7Q2AX327Fnk5uY6LbdagkUlrwDg2X1bq9XVl0AyWAfhbuOZPScD4jjOb3WeBYnB16ttzaDqehCl4dXXCxUFZl/6pwlhjOHGdQGR0VqP1nOOUydEPVkxnTJBa7QeBXdj0fCAKKgfKAeH1ScSuylBH+BbsqOyayJEAYiJb7kkSYZADeIStCjOERDXRUJQqPN5Sy6SfQHw20SGxYOLuO0heK3Ozlos9w8iY4hPTEavsjKcP38ekZGRSElJsT8HSYLFYgGv1aHaLILngFAD79L6bLuNO8u187qevWU8hdIwxnDy1HGUlFxz+VlZ2Q3o9QaMHDkWXROTGmVN5DgOCZ27oEP7jjh77hTS0y+AMYYePXo1eJ93ChoVYR2+Iom3ali7QhAZrhdZkHPZ7PLzygoJUTFA56R68cwBOh0HxoDIdtZ937jOEB5JFmiCIPyPTwJ6xIgReOqppyAIAjQaDR555BH06dMHgiDg7Nmz2LRpE/Ly8pqqrQThE61JQGdkZCAtLQ3t2rVzilXUarVISEhAVFSUsszd7LxtTLMsoo1Go1MsHcdpmqwMlSskZs1I7Is7L2O3sqg6IooMAmfN1uoqyZN14qBehDdjrezaGgnGOobEZG/Wf3X78yaIRcbA10cImyUGrU4Hi9n1gLLR1A9m1bpwB4Vy4Dig9qaEyFjfhHDJVQEBwRxCI1s2c2f7RC1KCgRc/f/snXecZFWZv59z763YOafpnpzzDGFIMyQR1AWURUUWdwHz6rq6u666GFbXtK7r/hR1zQEVBAyAIouSBhgYZoYJTM7TaTrnrnTD+f1xu7qrutKt7uqZQer5fIqhq244N5173vO+7/c9orNoXfIoDN200GLCuG2jOjd9i5kmDzp2ckVRFNweD5Gw7e6PpnhEFddXrjufwcFBtmzZkrSESyQSQTfs+uKWhJFgGJHhwdF13ZkBncG5bFlWSkX4vXt3c+DAXiorq5Pua/GipaxYuRrPNCNkYnG5XKxbez5z5y7g4MF9LFq4JPNKr3FmQmE3XRi3ZUksU3LkQBhDlxQWJ+6/tkFl9nxrokxgtNSflKianQvd1w1zF+XDuPPkyZN7shphn3feefzP//wPx48fp7GxcVxZsLu7m5GREV7/+tfz+te/fkYamidPNpxLAmKdnZ1s2bKF+vr6pHmKyUjVdFXV4gYDiqLg9UaN6Nic2amJLE0Vc9wjBllUKEmLlHZ9XMOwB0TRii6mYQ++zqThHKWv27YWKqoz1X924H12UGrKsOy88mjtZ03TMHQ943pTQRECSxEIh4NlRRV4C7MXEgsMWYwOShoXn9l7NBmaS1A3V6P1sMFgr0lJReJEQMSU+GIihnMZRp8qDzo6GRWLqmpoLgtjLLzaNqDH2mTBxRs38X9/+D1PPPEE119/PQUFE2HJoxELkzAerxcpJcOhCIVugZJOad00MU0zYyklc4rh280tp9jzyi7mzp3PRRsuPeP3QllpGRdtuPSM7vNcIba2uLPlc29Ap9PBMA3o7zEJjFgsX+OlvilRsDFW2d3lEuPbsSN/JBXVgr5uO0e6uDTnzc+TJ89rnKxdVFVVVVRVxdcvrKuro64uufJknjxnA9M0Z8TIyJaRkRGefPJJCgsLueKKKxwZz6nCmoGkuX+KouJ2ewiHQ2N/Kylzn50ipUwZRi6SqEtHvWW28FFuB8JSgqHbSqtnm95uA59f4C9Ifx2djDed1BA2TAku24iLevddLheRGfJCq5MTtzNczoJihf6u7ITEuloNFAUq6s6NGrfVjRpdzSatR3SKyxNDVS0p0U1bER1ya0CnUvpOJcrlcrmRlsQ0Dfv5jLlcpnBxxVVX8cc//IE///nPXHfddaiqStCwCOn2BqO57qZlETIU/BmEnHRdT2tAZwrfBjCTHEx/fx9btjxLRUUlF15w0VmfSHktoWmusQie1CH8k5mpetRmkjBuu22SlpMRNBfUNKTW8VAUBaHIBMFGIaCs0v63t0tSXJq/v/LkyZNbph3jGYlEeOyxx+jr6+PCCy9k6dJ8PlGes0+2ZVNaW1t5+umnWbZsGatWrcpJ+LNhGDzxxBMYhsF1113nuIZmqvGoqmopDXC7PJIbXY/gck2/luSBPSHaTiW3WN1uwcJlHuoabQ9iNHwbxjzn54ZdlHMsS9LXbVA3K/PkhBMnrhM7LCpCG45ZWNU0xAx5obXY2jISCAUhjTBkQbFCT5tJJCjx+DMPUg1d0nfaruOcSYX3TKEogoYFGif26vR1mFTUJT77umnhUlWklOg5Pu9GMgM6zT5cbjcybGFZMuFRc/lL2LhxE0888Wd+/vOfJ12/qqaWizZdRRjwqiJttIRhGFiWlbLfcaINNjkSKBQK8czmJ3C73WzaeCWqeuZSTV7rCKGMKfrrKdNnkjETIdwwJj43qR8wTQiHLLo7DBrnutNqYWiailASD0QI0MbCuHu7YM7Csz+ZnidPnr8ssnpzffCDH6SkpIQrr7ySq666CiklX/nKV9i7dy9er5cnnniCD33oQ1xwwaurPEOevzyyMaAty2Lr1q1YlsWuXbs4duwYGzZsoLGxccr7l1Ly7LPP0tvby+te9zpKS0uzaE/y7zMpz7rdtuE8XeM/HLJob9apqFIpq0zcVneHwb5dIdqadZas8uKN8cY68aq+WhnsNzHNzOHbQiR66JPh5FzZodtWXO1nIQQut4tIOPdeaEVTkNFHxzLBiEBIQAqxOX+MkJjHn3mQ3XfaxLKgata5ZTSV16rjtaHLqtUEj1bEkvgZq/08Awb05Km1dArFUe2DcDiU4Pm3pKSstoFrrrmGnp5ewmZ8KLhpGBza/wq7tr3IugsvJmBICt3p79VIJJJSbDCT8r6d/zxx75qmybPPPUUoFOJ1V1+Hz+dPu36e3OLxeMY8t85nORVFnbEIASltIzr2eTMNSdspHSlh1pzU7zwhwONViUSSGdATYdz9PZKRoZRdWJ48ec4hHn/8cb7xjW/w+9//3tHymzdv5oEHHmDJkiW88sorXHXVVdx8880z3EqbrEYxqqryiU98gsLCQgAee+wx9u7dy5o1a/jnf/5nwuEw3//+9/MGdJ6zimVZWeU/Hz58mMHBQa666ipcLhcvvPACf/rTn5gzZw4XXHDB+P2eDVu3buXEiROcd955WRviyUK4FUV1FEYXNaKnQ3uLPXhZvNJLQWHiPucscNPeonNkf5itz4xSP8dF9RwVVROOvKqvVnq7jbHQwNwIiDkt1xzQExfUNBeGrue8zrWqqphS2PdgVKVZD9sS3e7EwayvUCAUGB2SlNem37aUkq5WA3+xoKDk7IqHTUYIwaxFLg7viNDVYlA7aeAupUQ3LSIp6tJOByPJNcxkmApFwe32YFjhhPvNtCSl1fUUV9bFebKFEHh9PlSXxv7dOykpLWPBkmVETHCnqrmG7YVOpsgtrdRpHlGsuNrVku07ttLV1cnFF2+koqIy/cp5corL5Rp/h0RVtZ1EsSSkdeQY07S7F7CNadOUtJ6KUF6pUlCo4naLpGkktl6YljSdJfpMlMeEcVdWJyyW5ywSDAbPmbK351JbziS6ro+VOz37E9otLS08/fTTfPnLX6a7u9vROk899RTvete7eP7556mtrWVkZISLL74YTdN485vfPMMtzrIO9EUXXTRuTPT393Pffffhdrt573vfi8vlorCwcFxYLE+es0W68iyT0XWdnTt3Ul1dTVNTE/X19dx4442sX7+elpYWfvOb37B7925aW1sdf/bv389zzz3HvHnzWLlyZdbtT2b7Z1v3dKpIKWk9OTF4SYYQgoYmNxdfWUB9k4u2Ezp7t4Tp7zJn1AMdDllEItMXhpNSEhzNfju9XQbFpSquDKHHTgTEIH2YbtxyKYwpLcf3hBD2wHo8WjP2RgwHk0qmK4rAXygIOBASGxmwCI3Kc877HKW4XKW4QuH0CQNDTzznEVOiJ3k49bBEj0z9vo/mQcfiJH5GUVU0LfmEmW5aCfeXa0xYcMWaddQ3NvHKrh10nm4jpGcWswuHwwmTkk4mgGIFxI4cOcTRo4dZtmwlc+fMy7xynpyhKEpcak80f9jZurnLyQkFrYRnK3YS0DQlPZ0G4ZBk1hw3imqLFSpK4mc8BzrJjGVUg0JzCUrKobeLc0ITJY/N0NAQn/zkJ892MwB7DPiRj3zkbDfjrPAf//EftLe3n+1mANDY2Mhtt93Gpk2bHC1vWRaf/OQned3rXkdtrT17X1hYyM0338xdd91FeKxixUyS1UgmGhYrpeS73/0uoVCIt771rXHld86Vi5HntUs24dv79u0jGAxy1VVXjb+IVVVl9erVzJs3jxdffJEdO3Zk3YaamhouvTR7ZdlkHsUzWZKqp8sgFJQsWp7Zk+12Kyxb7aO0RuH4/gjHdkfQzoOS+ty3NRiw2Lp5FFWFCzcW4PZM3Sty6miEIwfCrNvgzxiOHUWPSIYGLOYtzpzH7lSwdrrOYzt3NHdh3FH17Wg9aOJEhiQEA+AvhEkTBP4Shd72zEJi3S0mqmaHS5+rzFroYv+LYU7tjzBvVXwd9Yhp4Z90zcJBiwMvhVEUwdILPLg8Uwt1jc2DdqLOHkURGopLYujpJw0VdUJYUFU11l94CSPDj7Ht+c1suuaNuCpK8aWRz5dSEg6H47w0loNwk6iA2PDwEDtefon6+lmsXrXWyaHllLAh8eSqPMCrkGjodiyKojp6V+Yq/3lkyOSlZ0fx+hUuuKwAbex62OUMJYpiz9G1nozg8QqqajW0NPnPUVQ1fU3zimrBsQOSkSFJUXFODiXPNAgGg9x5553o+tlXBTVNk49+9KNs27btbDfljHPPPffwne98hzvvvPNsNyUOp4KFe/bs4dixY9xxxx1x369fv55vfvObPPPMM1xzzTUz0cRxsjagv/jFLzIwMMCpU6dYtmwZN9544/jvjz32GFu3bs11G/PkcUw25auCwSB79uxhzpw5CXVTAYqKinjd615Hf39/1p39ggULGBoaymodIKmC2JnyPgO0ntRxe+zBi1N8pSpLLvCw9/kQrUd06mvcaDkM+zMMya6XAkhLEjFg9/Yg6y/yO/b0xhIJW5w4Ys9MHt4fYkNVgaNJjr4ee4BWUZW5c3fSrGyMpFQIIVBUBctpLHgGogNlIQTCMhNqiyMtCAXAVxAXUllQrNDdYhIKSHwFyQ9eD0v6u0yqZqlpRYHONv4ihVkLNVqPGJw+blA/P/WzZ5qSY7sjWCZYhuTYngiL1rundF/GeqCzjeLQ1Kgyd2pjKDa1Q1EUXG43Gy67gqcf/wMvbn6Sy1//RpSC5JNDLmF7/EzTRNf18f4oUzdr98V2m3btfhkhFC684OKsDDLTgul2JZaE0Fgt7xmORj4ncbncSb3ITq6DEEpODOhIxGLXSwEUVRAYsdj7cpDV5/vG+17LtLuXwKhFb7fJvMUeVFUkaBEkI1n7Yrv08io4dhC6OizqZk37UM44Tz31FF1dXWe7GXFUV1dzxRVXTGndRx99lMOHDwNw1113cdFFF9HU1MQPf/hDVq1axZ49ezAMgy9/+csUFhZy4MABHnroIfbu3cs///M/8573vAe3282zzz6LEIJf/vKXHD58mJ6eHu6//35UVeW6667jne98J5dffjnBYJCvf/3rDA4OcvToUUZHR/n3f/93LrzwQp555hl27txJf38/d911F0uXLuXWW2/NeAxHjx7lgQce4Le//S0//elP+cQnPsGOHTuYM2cOX/nKV7j44osB22a6++67OX36NK2trbS0tPCJT3yCa6+9ls7OTh555BEefPBB7r77bj72sY/xyiuv8NhjjzF//nyef/55HnvsMUpKSnjhhRe4+OKL+ehHPzr+zPzkJz/hwIED9PT0cPDgQd7//vfzN3/zN/T39/PLX/6S3//+97znPe9h165d/OpXv6KwsJC7776bDRs2cPz4cR555BEAvva1r1FVVcVdd91FMBjki1/8IlVVVZimydNPP81nPvMZ1q1bN37sR44c4X//93+prKzk5z//Od3d3axfv55LL72Uf/u3fwPgkUceYfPmzQwPD7Nnzx5uvvlm/vEf/3G87dEKEU7znJPxyiuvANDQ0BD3fTRlcufOneeWAX3rrbfy0EMPceTIEdavX8+NN96Iqqo0Nzfz0EMPMTAwwPLly2eqrXnyZCSb8lU7d+7ENE3Wr1+fdrmysrKs2zFVj/HkQemZzE8JBix6Og3mLnJuBJiWBClRVUHDfBcn9+t0nTaonzX9XGywB+H7dgYZGbJYu8GPHpHsfTnIoVdCLF2dfc7SiSMRDAPmLXJz/HCE06069Y2Z29rbZaBpUFya2YAWDs5drkLdVVXDMnPjhVZiXOcCI7kavGkkKHMXjAmJBQYtfCnKe/W0G0h57omHJaNmtkZwRNJ+3MBXqFBWk3jNpZSc3KcTGJYsWOPGMiXHX9FpPqAze1n29a312DDWLOdDLAvcHg/hUDBpBIumaQkGlKIoFBQWcuGll/Pck4+z7flnuGjjlUlrgHtdCr6xezoSiYx5CBzc42OdWU9PN83NJ1mxYjV+v3PRMNOCkYiBqih4NYE2hYkJGMsxl3b4vTpDatLnKnaJw+T9mxNPTy7yny1L8sr2IKGQ5LyL/QwNWhx6JcSxg2EWLLWVvUxTIoTtfRYCGppcqA4jBpIdh12uzS6x5nIJSsok3aetrMrt5ZkZbrrpJu655x7ADiEGWLFiBbfeeit33HEHhmGwePFi5s+fz0c+8hF8Ph/PPvssJ0+eZPfu3Xzuc5/j+eefRwjB//3f//G1r32N7du32+X5TJNf//rXfPazn6WpqQmAd73rXfzrv/4rq1atAuCWW27hHe94B9u3b+fKK6/kt7/9LcFgcLwtTvD5fBw5coSTJ0/y+OOP853vfIcTJ07wvve9j9tuu42tW7dSWVnJJz/5STZu3MiHP/xhAD72sY9x++238+yzz1JUVMSpU6d4+eWXeeCBB7jrrrv42c9+RklJCQ8//DD33Xcf99xzD6qq8uijj/J3f/d3LFiwgBtuuIG7774bTdP4yle+AsA3v/lNPvrRj9LY2Mill17KxRdfzL//+7/z4IMP8ulPf5p/+Zd/4cYbb+Suu+7iz3/+M/PmzeMtb3kLTz/9NP/0T/80fq6+9rWv8fDDD7N7924AOjo6eP/73z/uGB0ZGeFtb3sb3/jGN8b3c/PNN3PFFVfwsY99DICHH36Yl156ia9+9asAPPTQQ7z73e+mqqqKv/mbvwHISlQ3FX19fQAJGkUFBQUAjvOop0PWImJvectbEr5vamriQx/6UM4alSfPVHEavj04OMihQ4dYsmQJJSUlM9wq50w2rDQt+8H4VGk9ZRtis2Y7N35j8ywr6lU6ThkcOximtt41JU/cZI4fjtB12mDRcg+VY+HWI0MmJ49GKCxWaZzrvK2BUYuWExEaZruYt9hDT5fd1pp6V1qvqJSS3m6D8iot4zE5HZ/nSmxNVRVyFQgXazwplklKO86IQFiBsbJs3gKBotpK3BVJJDCkJeluNSkqU/AVnvsGjBCC2UtdhEYtTuyL4PF78BfFt/v0CYP+TpOGhRqlY1EJwRHJ6RMGviKFmqbsJgqipeAUIRznxo+va0pUTeD2eAmHgnEi4bZie+IzoigKpmlSWV3D6vMuZNe2F9m3Zycr1iROJsYa9NFQbpeWWdI4Opm5c9d2PB4vy5auyOq4jLEDMS2L0QioQuBxKbiy7FciYw+bbkq805y/MSz7GuWgazsjpCudGM0hjk50RCKSgV6oqp2oIpCL/OfD+8L09ZgsX+OltFyjpEwyMmhy4ojdh9eO1Xk2DEl7i05VrYbXp+C09HRKQTRbiBuAiirB8UOS4UHL0SToucRUPb2vJm6//XYuu+wywL73ioqKOHnyJABz5sxh3rx5nDx5kr/9278F4NprrwXg17/+NdXV1eP3680338yvf/1renp6aGpqYtu2bTz//PPcf//93H///YBt/C5atIjm5uYpOUfA9nouWbKE3//+9/zDP/wDQgjq6ur4zGc+w/vf/37uv/9+3vzmN/PTn/4UVVV54YUXADv3e82aNRw/fpxrrrlm3OF40003sWjRItatW4dpmnziE5/gW9/61vjk0HXXXcc3vvENLrnkEsLhMF//+td5wxvewF133QXA8PAw69evp7m5GVVVqaioAOCv/uqvWLx4MQCXX3453/3ud9Me16ZNm+LGw8XFxePXAeCll16itbV1POd406ZN1NTU0NPTM77Ml770JRYvXjzetnA4zPr16+no6Bhf5t57783+pE8iOjE4eXwc/TsXgrqZmNLrZGRkhIGBAWbNsuNhtmzZQl1dHXPnzs1p4/LkyRanAmLbt29HVVXWrFkzsw3KkslRs5p2Zl72lilpPzUxeHFKbOipEIJZC10c3RWh7ZSelXGbjM52neOHwtQ1umiaN7GtBUs9jAxbHNoboqBIoTyDKnaUowdDCAXmLbbzARcu87JjS4CW4xHmLEw90Dx+OEIoKFmwNHMovRPvM+TOAx0tMZMLgZzYUEhFGnED0AQiYdBcoNqDV3+RwuhQ8oVbDutEQpKmxWcuFWG6KKpg/moPB14KcXRXhKUXenCNlXvq7zJpP2ZQXqtSO3vi3qufrxEcsWg5rOMrEBRXZPfsGpbErYqMCtzJkJad52yXt5oQT3G5kk/AxV7ruQsW0dfTzdGD+1m0bAVud/yzkCBwZppYZhhVTf98W5ZJW3srXV2dnH/ehqxTUYxJs0ymlAQiJooQ+F3OwrEtaRvg9v9LDAu0aczhhAyJWwX3OZyGEEVR1Izh14qijhvQLcclnW0QDgkax4Zy0/VAt56K0HIiQtM8N/VNEwPeJau8jI5Y7NsVxF+gUFyq0tWuo0ds8TBVFY4njqMTAZMnzxUxIcZXXgUnj8Bgv/GqM6BfC/zTP/0T7e3tfP/730fTbGX1yal4yUrpRSIRWlpaxiMLGhsbEUIwZ84cwB7nFRYWZuVdzpbY+zQ6CXDixAl27NiBZVl85jOfSTuRBfHHdujQIbq7u+MEmYUQvP3tbwfs3N/h4WE+/OEPs2DBAsftdLvdGYW1LrvsMjZs2MCDDz5If38/R44ciRtbRBXvT506Nb7vWbNmjdt+/f39HDt2jC984QtceeWVjts2FaJpl6Ojo3HfR/+OGvkzSVa9o2ma/OAHP+A973kP//3f/z3+/QUXXMAf/vAHfv3rX+e8gXnyOMVp+HZnZyenTp1i1apV51Tpgsnhl9nW65wOnacNImODl2yYHG5aUqlQXK5w7FA4qZKxU4YHTfbuDFJSprJ0lTfuJSWEYOU6H/4ChT3bgwQcKGoP9pt0thnMnu/G67W7vfJKjcoajRNHwinVvWON+NqGzIa6U89UjtKWAVBzMMkSVbUF7JhgaWU4Fmkrc49d4oJiQWDYSijB1t1m0NViUt2kUlr96hq4ur2CBas96JGxXGdLMjKoc2JvBH+xYM6kUG0hBHNXuPEVCI7tiRAKZHeRo4aqcwnECaJi16qmjXucFUVJqdSuTHLvzVu4GCklp1tbE7ctZVzfZHuh9TiF7WQYhsGuXTsoKipmwYJF2RyOvX6KvtySkpDh7Nzqk+7HyDQePNOyjfHJhv25ihPjN7qMlJK+LlsAseW4pLdLTvv9099rcHBPiIoqlYXL4g0IRRGsPt+H2y3Y9VKAcMii5aSOv0ChvFJFzdK1kzwPeuLZdHsEl1ztpnFuZhHIPGee//3f/+XDH/4wb33rW7n99tsdj8tuv/12+vr6+O1vfwvA3r17ueOOO+KEjXt6ehgeHk5YdyZUmouLi+P+BduYzmbfUb2dlpaWtPvKdrtO2L9/P1dffTWzZs3i3e9+N8uWLYv7fdOmTSxatIgf/OAHWJbFyMgIkUiEd7zjHRnblqzc3HSIhuS3tbXFfR/9e8WK7CKepkJWBvSvf/1r/vSnPyGljMs70TSN97///Tz77LNs2bIl543Mk8cJTsK3pZRs27YNn893zuXrTx4vninjGezcM59fOBLJimVyuGnUC61HJCePTa0zj4RtwRmXyx5kRcOrFSW+PMmaC/xIKdn9UgAjTX1eKSVH9odwuQVzFsQPoBYu9WAYcOJwYueezohPhfMQ7twNwtUc3CcidhuGPvZdhpVMA8IhAPzFCtKC4OjEcQ0PmDQf0CkuV2hc+OrxPsdSUKIwZ5mLkQGLU/t1dj/fh6rCgtWepAJHqiZYsMaNEHB0VwQzi7rRuinHNQWyxYoRpXO5XHGGdDLEmDBYlNLyCnz+AtpbTiVdPtaYldJ+pkKhxNJWE+0xOXbsCIODA6xZsz5rISrDIu15MCzL0SSUPsnQNiw5ldMLQHhsW7qc+jbOJE7eH9FlhgZA12H+EkFhMRzZLwmOTt3LHgxY7N4WxOdXWHlecsFHt0dhzQV+dF2yY0uAwX6TWXNc42WrsiF5HnT839prWIX9XEMIMd537Ny5k09/+tPceeed4+HDToVgN23axGc/+1keeughvvnNbxKJRPjiF784/vuiRYuwLIsf/vCHces1Nzfzm9/8JqEt0+XUKbv/vOKKK1i0yJ40/P73vx+3zMDAAD/+8Y9TbmP+/Plomsb3v//9OIdQIBDgT3/6E/PmzUv6ezgc5tvf/nbWbY499ve9733MnTuXDRs2JPwGdvj7PffcQygU4nOf+xy/+MUvuPfee8evW1lZGZWVlfz0pz+NM5illPy///f/clpKbuHChSxbtoyXX3457vsdO3ZQXV3tuBzWdMjqrfbMM8/wjne8g5/85CcJqsWqqrJ27dppqarlyTMdnBjQLS0tdHV1sW7dujOqbu2Eyd67XAi4OGFkyGSgz2TWbLfjsDkYU9lN0iH6S1RqGzROHYsQCiV/MQ32m+x8McBLz44mfLZuHiUSlqy+wI/HO3EOVFXE5Sr7CxVWnedndMRi90sBQsHk++rpMujvNZm/2JMwiCosVmloctFyMhJXGzqVEZ8J5yHcjhZzhKKqCYPFrLcRa+AY9nO0py/CL4+O2iJMqdDDYJrjQmL/t2+QwbBBOGhxbHcEt1fY5aBeLUmjSaio06ido9F72iQcNJm/xoPbm/p4PD6FeavchAOSo7sihFPcl5MxpUx/rjMQO9bxeDwZRaJiJ02EEDQ0zqarox09iacg1g6NpplIaREKBZN6okOhMHte2UllZRWNs5qyOxBS1z6PJZzBgjatxIkqKWWCV9pZe5ioAS5lTifAnDAyJDn0isVwijSJZDiZtIjmD/d22WWkKqpgySqBpsH+XSaRcPaGhWnYk5rSkqy50IfLlfpZKSpRWbHWx+iIhaJAfaPbUemqySS911+9Xc5fPOXl5Zw6dYpwOMzmzZsB2LZtG7qu89hjj9Hf38/p06fHhaAsy0qanveTn/yE5557juuvv55Zs2bhdrt5+umnx423yy+/nKVLl/KVr3yFr3zlK2zdupX77ruPj3/841x//fXjbenp6aGvr49du3Y5TgOM0tzcPP7/3/ve97juuuu49NJLWbRoEVdffTX33HMPn/jEJ3jxxRd5+OGHee9738ub3/zm8eOC+NTDwsJC7rzzTp588kluvfVWHn74YX73u9/xkY98hIsuuojCwkJuu+02nn76ad773vfy3HPP8fjjj3P77beP54ZHtxdrsEY929F9RvOkDx8+TGdnJy0tLbS1tXH48GH6+/tpbm7m2WefHT/GgYEBTp48yR133MHb3vY2Vq9eTXV1Ndu2bYsrX/yBD3yAgwcPcsstt/Dkk0/y1FNPceedd3LhhReOjy9vvfVWbrvttqTnM3rtJhvv4XCY6667Lq5++Mc+9jEee+yxcZX60dFR7r//fj7ykY84Loc1HbIKlPF6vdxwww1AYuI22Ac82Z2eJ8+ZQMr0ZVyinDhxAq/Xy8KFC89Aq7Jj8iTomfJAt56MIBSob8puQiFlJKOUzF3sobPd4PjBMMvWTIRj6RHJ0QMhWk/Z5bKKihMHeVqRwpJVbkom5apFT4cRo5pVUaWxdLWXg3tCbHlyhHmLPTTNm1ARtyzJkf1h/AUKDbOTH9+8JR5Ot+kcPRhi5Xo/liXZvT1IJCw579KCOCM+HY69zzkoYRVLNNQym/rnk4kbbFs6QUPy0wOjDI2F4b9jQUHqlUMBDM2HjsXIoMUzJ4aYP+BHWrBgvRstzQD61ULDAvtVWdNQjMsfzLh8cbnK7GUumg/o7NsSpm6+Rk1TZhG6iMPQ5GRYJo6FlwBURYkLF69vms3RQ/vpaG+lcc68uGVjDVpzUjh3KBTC4/HGDVj27ttNMBjk0ksvn5IIohMjV7cklkydNpFqMiJiyqxzmCeHfhuWnLIqeDYYhqT5mKRjLLJeCEnRisz7zab8lG1AQ2mFHUGharB4FezbIdmzPci6LEoGSinZuzPI8JDF2gt9FBRmviFr6l0sWzOmmO0WTOW1N1kQzf4ucZk85wa33347zz//PK973ev4xCc+wZVXXsn3v/99nnjiCe666y7e+c53cu+99/K9732P5cuX8/zzz9PR0cF3v/td3vjGN47rL1VXV7N//35eeeUV+vr6CIVCSClZvXo1jz76KC6Xi3vuuYdPfvKTfOc73+GnP/0pV155JV//+tfH1Zrf/va387vf/Y5rrrmGj33sY1nr4vzoRz/CNE26u7uprq6O84DffffdfPKTn+T+++/nwQcf5KKLLuJLX/oSNTU1bNu2jV/96lcAfOtb3+Kd73wnq1evBuBTn/oUiqJw//33s3XrVi6//HI+//nPjytOf/aznwVshes//elPrFu3jk996lMsXbqUgYEBfvCDHwC2Ivb69esJhUI8+uij42163/vex6WXXsp5553H3//933Pbbbdx11138clPfpIvf/nLXHLJJdxyyy3cdddd3HbbbXzoQx/ie9/7Hh6PB6/Xy7e+9S3a29sJBAKYponX6+XBBx/kggsu4AMf+AAjIyP84he/4Pbbb2fZsmX867/+Kxs3bhw/L/39/QnnsbOzk8cee4wnnngCgC984Qu88Y1vHC+hFT3HsYJlb3jDGzBNk7vuuouVK1eyf/9+PvrRj/LOd74zq2s4VYTMYiT3hS98YbzO11e/+lX+5V/+Zfy3YDDIRz7yEXRdTwiXONeInS05k1RWVsZd/Dy5Q9f1jPkfUkruvfdeGhoaZjy8o7y8fFxm3wlSSiLheEEun88/4y99w5BsfnyYqhoXK9dnlw8eNiwCenKjrdCtcfxAmObjES66vICCIoXTLTqH99u50Y1z3bZH2KFxpajgdtsDwkjYSphsCI5aHNwboqfToLBIYckqL2UVGm2nIuzfHWLVeT5q6lNPEBw9GOLE4QgXbiyg9ZQtgrZinY+6WZknFaLXWtVEWm9LFN20GApP3dhNhqHr08ox8vnH7jXLgpFBfnc8wMMnQqytdLGzR+eW+X421SVXXjal5O79o8wdKqBAURmSBo14WbDGPa5Q/ZdCaWkZAwOJL/9UhIMWLYd0BrotvAWC2UtcFJXP3DlxeZyLL1mWSSgYGv9bSsljD/2asooKNlyWqPxb6rXbHdtPRRFC4HZ70DSNYDDAvff9jLraejZuzF5IRkoYipiOQtk9moI3hSrYSNhM6SkudGsZRcii19qSMDypPYoQFHlm7jpKKenphJNHJHoEamfZE4d9PXD+ZSJjRIymaXg8mZXSAbo7Q+zaGmHhckFV7cR2B/vc7NsZYtYcF0tXOXs3HD8U5tihMAuXeRLSZZzgtA9NRjgcHveyjX83FgElhEJhoQ93ims202OzWEGoVLS1tZ0R5eC/FKSU/Mu//Avvfve7x5WmpZQMDg5y9913c/3114/nyc4E//mf/8l//dd/nXM1umeSJ598kt27d/ORj3xk/LtQKMSePXt49NFHxw37vyQikUhCrekoWXmgV65cyYMPPshf//Vfx72kT548yXe/+136+/vjZhny5DlTOPG+RWcoUz0MZ5PE/Gclp8azlDLB6AQ43aJjGtA4J/tw9nRhlpaUzF3kpr05woFXQiBhoM8czycuKslu8Bk7YFRUkSC45itQWHOBj+4Og0N7Q2x/PkB9o4veboOSMpXquvRd3Zz5HlpP6uzcGiASlsxZ6HZkPMfi1CGVy/Dt8X1PI1xJc2kT95phMBC2eOxUiPOr3bxraQF37xnhV8cD1PpUFpcmnpPfnAhwoD/ChVUlaP0qJWhQY/3FGc9TweNTWLDGw0C3SfNBnUM7IlTUqcxa6MLlyf3kmGXiWIBJCAUhJvoeO4y7iRNHD6PrekKKiyklSoq4WCklkYg9gbl9x0uYpsmaJCWxnGBK53ngEVPiURO9jcnCt2MxLInq8IGNmFZCeywpMS0cKYFnS2BUcvygZGgACoth6WpBYbFgoE/S0ykZ6LNDrdORTfRSb5eFUKCsMnZ9hfpGN6PDll0ysChzycCu0zrHDoWpm+Vi9vypGYLT0UNMLiRmXzq3O7v0pDznPg8//DA7duzgv/7rv8a/E0JQWlrKvHnzpqzC/KY3vYnTp0+nXeaRRx6Z0rZfzYTDYd73vvcliEV7vV6WLFnC3r17z1LLzh5ZGdBvetOb+Pa3v8273/1upJR86lOfor+/fzxPoba2lltvvXVGGponTzqcGNDR9AIns8FnmpkSEJNS0t6sc+RAGD2SwhtTpFAyBa9YOjFaS0p8bpW5Cz0cORDG5RYsW+OlvnFqda1jx0aqGh/GHUUIQXWdi4oqjeOHw5w6FkFKWLXek3Gfmkswf7GHg6+EqKzRWLAke+9JRtGtMWYif1JRlIQQRicIIXC5Yga7psFDx4OYEm6a70NVBHcsLuQruwf53sERPr6mmCrvxL3yfEeYJ9rDXFHnYXE5HOuHFhHiRCDEeaQJ+36NUVqlUlSu0HHCoOOkwWCPyZILPHj9ubXALAucPslCCISiIGPCk+sbZ3Ps8EE621uZNTu+LKVhpR8wmKbF3t3dHDiwj+qKhfi8xWmWTk02eeBSStuInqRtoGd4DiKmhceBtSblRB3phHZKiZrjRNuRIckr2yWKCvMWC2oaJkKPi0vtynG9XZKKqvT7daqfIaWk67RJaXm8yFb0/RNbMjAcspi70IOaRIxreNBk78tjgournQkuTsYWiZz6+UwqJKaAgoqmTbMAeJ5zjkgkwsGDB/nBD37ADTfcQElJCZ2dnTz++OOUlpYm6DQ5xamO00T99MhrInIgmof+1a9+lX/7t39j7ty5jIyMsHPnTrZu3co//dM/ne0mnnGy6lUUReGDH/wgO3bs4Nlnn6WlpQVVVVm+fDlr1qzhmmuuSVqrLU+emcRp+aq2tjbKysrw+/1noFXZMdmjmgsBhOFBkwN7Qgz2m5SWq1TWJH/cK6u1KQ140hmC0fFr03w3bo+gslYbD8HOFlWNz1+z892Se9TBDgNcuMw21kdHLEornHVzDbNduD2CiimeD6d5grksYRWLqqpZG9CT6wS3D4bY3B7mqlkeqv0qUoJPE3xgWRFf3j3Ed/aP8LFVxXg1wdEhnV8eG2VJqcZfz/MjpMmcBYLekMHhkyFOdw9RVzB27oUAr+81LeyjqoKGBS7Ka1UObg/b9aUvSG6QTBU5pjLt9P5VFRUr5oasqKzC4/XR1tKcYECbFigpCoMP9EmOH5K0dx4CwKusYOcLkqYFUFOfXf5ptmWiIqaFe5KQnp5hG05rQkfS6BXopsSTw3rQUkpOHpWoGqy5UOCeFKGgKILyKklvp/2+SNXfZFN+amjAJBySzJ6vElv0PWqAR0sGHnwlxIkjEU636SxZ4aWqdiI6ISq4qGUpuDiZ6T4H0ait2OslhILblS9d9ZfIzTffTF9fHz/60Y/47Gc/S3FxMRdddBEf/OAHWbt27Yzu+8knnxw3tL/4xS9y0003sXLlyhnd59nG5/Px4IMP8sUvfnE893jJkiXccsstfPzjH8+60sJfAlOallu/fj3r108tPCtPnlzjRDXRMAw6OzsT6tqdC1iWHFe2hQlBlKli6JJjh+z8Y5dbsHyNl7open5TkUkIK6rOrSiC+qbpzc4mLReUJIx7MgVFKgVFziciFEWkzZNOh1PvM8yMBxrGwrj1JK75VMtPrhNsWTx4ZASvKnjTXDvnUQhAQLVP5T1LCvnG3mF+dHiEt83z890DI5R7FN69uBBVCBBQWWlwsa7x8CnY3DbC2+bHeKFDwDlUd/1s4StUmL/KzeGXIxx/JTJW9ip3z2ZWYdyT+hmhKNQ3NtF8/BiGoaNpE/eHYVpok270SFhy4rCktws8XpOgcZSmxtlcekkNB/aEOH7QpKsd5i2GwuLMxyhl9s+HNaasHRUGMy2SVgeYjG5aaCn62ejq6UTdTBmdrMiquSkZ6IWhfpi7KNF4jlJRLehqt8O4yyuTLpLVu6Oz3UAIqKpVkUy8R2MNcM0lWLHOR32Ti4N7Qux6KUhVrc7iFV48XjEhuHiJc8HFWIQYEy/LwWSEoihx0Whutwslm845z6uK9773vbz3ve894/u98sorufLK7PUdXu2sW7eOBx988Gw345wh657lscce495774377vDhw/z+97/PWS21PHmywUn4dkdHB5ZlnVP5z5YliUQs9Eh8XdGp5j9LKelo03n+yRGaj0eYNdvFJVcWUt+U+/yvTAPUXEpkJRtYncES2Y5QHJ5fw5KOSvRMBVVVs7rOk+sEH+oaYVePzhvmeCmOiRaIbnJJqYub5/nZ06fzHzuH0C3J+5cVUeCKf40UuRTWVbp5sStCONYTaETG60Znoj9kMBLJrdDauURxuUrTYheDPRZtR7MrmxJLaNRKmEjK5jWczNhqaJyNaRp0no4X27TvXfv/7dQQyc4XJH090DhXUF7fQiQSYumyFRQWqZx3sZ8Va72EQ7Bnm+T4IStjXWxjipNL4RhDd3L4tpSSrkDiOdYtyfCgpL838TPQpRMMhtL3c1JOub2Jm5KcOirx+KAmzSuqpMyeHOntSr1fp95nKSWdp3UqqjTcnokZl1QTuOWVGhsuL2DhUg+93QZbnhphxwsBBnpNlq3xUVKWXacsBLhcAo9XyVmN5tjILSEEHve5VaoyT548fzlkZUA//vjj/PjHP+bRRx+N8/otWrSIuXPn8h//8R/TUoLNkydbLMtyNHHT1taGqqrU1NScgValxzQlkfCY4Zyk6VPJfx4dMXn5xQCv7Aji8QouuKyApat9uNwzEzObKQw5VY3obEnllRBiauVOZgqnTo7wNMoUOcFp6L+qaXHLSil5YP8AZR7B1Y3xaTixNvnldR4urfEQMiV3LC6k3p98fxtrPQRNyfbuSe+DSBgyRIxYUvJfL57mR7u7HR3Lq5WqWSqVDSodJw16T2dvRA90m+zdEubY7khcNIjMokxassm6iqpq3B4v7c2nohsc/yfqHe7tshWii0ph7YWCxnmCo8cOUVhYRGXNLExLIoSgrtHNJVcVMWu2RkcrHNgj00aOTHVyKeqFhsTw7cdPBfjStj5e6ogvPxYcsfOND+xK8tmrsmfbKJMj1iefq2zDzVPRdRoCozB7vkibCmKHcUNfd2LaTxSnfcDwoEUoIKmu1+IM5nTvH0URzFno4eIrCqms0hjoNZmzIDvBRaHY5ao8XiWn6Qt2+yaOw+PxOE6ryZMnT55sycqAfuKJJ7jmmmv4whe+kCDKsHz5clwuFw899FBOG5gnTzoml61IRVtbGzU1NWdVTMSybMPZ0GVakdls8p9NU3L0YIgXnh5lqN9kyUovF24syNobkC1OBrq5cLSmOxW5CPnLFU6iJqWU8R7ZmWiHg3tHCBJET3a0j3J8UOfGef6EvM5Ym0EIwa0L/Hzp/FJWlacOzV9QrFHvV3mmI4nHORhIe3Ps7QrSGzQ42BtkOMflvs4lhBA0LXFRWKpwcr/O6JDzyZXgiMWJvRFcbpJ6sa0sTttkb6OiKNTPaqSjvRXTMEC3J0FkTGh0b5fE5bYVor1+weDgAF1dnSxYsJiIhIA+cSwul2Dpaj/L1ngZ6rcN71RMxyAN6xbGpPDtPd0hHjs1iirg0ROjcYJgfR0CISTzV8KC1fGfyuoIvd0Q7DdQNQ2X243H68M7qbRgNoJnqTBNSctxSWExVDjQPaqoFpgGDKaopuY0hLuzXUcIqK51jU2k2OslEyDTTUnIsMY/wg2L13k5/3I/C5Y6zzFWFPB4lIS+285Jz8WEqzr+r6Zp0xIlO9NkUVE2T548Z4h0z2VWBnR9fT133nknTU1NSX+vqqpi8+bN2bUuT55p4CR8e3R0lIGBgSmHb+fqxWYY6Q3nKE4HQN2dOi88NcKJwxFq611cfGUhjXPPTLkOJ3mK0w1VFiJ5/nOUc0mzwomnI2w69wxOFXWSmFIyNJc7wQh4cF8vDQUql9QlGsWTtyeEoNST/uQLIdhY66F5xOTk8GTvqoTgSEoj+pmWITyqwJKwuyuQ/mBe5SiKYP5qNy634OiuMHqSGsuTMXTJ0V0RhAJLLvBQNSvRi52VAZ1k0qWhcbatG3G6HQwDKe171zAlpinp74HyqgmP7JEjh1AUhTlzF9mhzZZtaMVts8nNrDkqHa3Q0ZZ4nNYU8p9jMaUkFFOXvm1E5xcHh5hdpPGuFSUMRiw2t9n3k2nCYDcUV4K32MJTGPPxm9TUhnG7oatVw6W60DTXeL8c++xEy1lNh9MtdmDG7AXOaniXltsTi8nCuJ2m/9jh2wbllep4lFLUcE7mgQ4ZFkHdTPhIl7TrbTvs61P15yHDymo7qRBCoKpq3AThq6V61WQBtDx58pxdpJRp+9OshqCZPGMnTpygvz/FtGiePDnGMAxH4dvt7XYu31QMaMuSKcs/ZYNpJA/XnoyiZM5jNQzJ7pcC7NoaRFEE6y/2s2Kdb0oCLlNBSukox3m6Y4F0xjOcO2HcTsMEZzp8GzIr8CqKSIjCeObEEF2jBjcv8CXN5Z7qAPTCag8eBTafTuKFtiwIBRO+7gno7O8OcvXcEip9Gi93jE5t52N0jETY3DyUk3SCmcLlFixY48bU4eju1OXmwA7PPr4nQiQkmb/ajcen0LjYRVGZ7cUeGRwLt5YyY75xlGQTdpU1tbjcbtpbToFljvddJtDfY1++ymr7xjAMneMnjtLUNAfFMyESFzSsBINo0XIvpRVw4pBksD/+t+l6IA0dutvtScqRiMUP9w7i0xRuX17CknIPyyvcPNEcYES3GOwGyxSU1ybZp2nicivMXeBiZFhh4HQ47ufJ52s67dYjkraTkrJKKClz9qApiqCsCvq6EsO4nab/jAxZBEctqmNEE6PvnmT3Q7rnx5CS4YjpqH9LNoSUUhI2JKaUjEacVdRIh9vtnpQLPa3NnTEKCgocCaLmyZPnzGAYBgUFqctxZjXiLi4u5pVXXkn626OPPsrRo0dTeqfz5Mk1Tl82bW1t+Hw+ysrKstp+1HiWMnW+mdPtGA4Hs07qdx4/FKarw2DBUg8bLi+gvPLMhqWbEkfW8XTVpp1Esp8LYdxOPOG6mZsQRSekC+N2ueNrYgd1i4cO9rGk3M3KiuR5jFEl7mzxaYILqj1s64kwmmxwbeoQijeun20ZRgi4tLGIdbUFHOwNMjoFMbGIafHQ4T4+/1wbv9zXyyvnuCfbX6Qwd4WbwJBk75YQ3a1GUkOi9YjOUJ/F7KUuikrt66wognmrbC/2sV1hIiF7PdOQWA5CopMZTHYYdxOn21vtMoH6WF8rJb1dEs1l1yUGOHnyBLquM2/+4nhrRUoCk66dqqosW+3C64NDr0hCwYn2Tdf72NsmOH1coa8LfrJ/kBHd4o7lJZR47PP0prmFhE3Jn06O0t8h8BZIfEVJNmQZKIpKXb2K1ydpPSGx9Il3zWTlcn0aLujWExLTtL3P2VBRLTAMGBqI/95p/efO03bqU3XtxLtDVZWkHmzLgZ6FlJKAbjIaNlMuqyjJy5mFzYnt65ZkNDK9icbJjp4zEZGVC0pKSrAsC13X857oPHnOIlJKdF3HsixKSkpSLpfVyPumm27i3/7t31i0aBGrVq2isLCQrq4unn/+eQ4ePIgQgptvvnnajc+TJxNSSkfh21JK2tvbaWhoyOpFOtnzbJmp625m2r+hO38ZZvIgBAMWLSci1DW6mLvw7NS3dDrQnc6kgxDOPLvnQhi3o/DtM+B9jqJNEgiLZbKx9Mcj/YxELN66qCDt8yHE1CIKNtZ6eLYjzIudEa5q8CYuoEfAa3+vm5LnW4ZZWe2nzKuxrraAx08MsrsrwMWzklk6ydnTFeBX+3vpDRpcWF/Iwd4gm5uHWV2Teib5XKCsRmVZgYdTB3ROHdDpaTeYvcSNv9i+Zj1tBp3NJtVNKpUN8a/uqBf74LYwx3aHWXyeB0UVGLrEJUibCxr1Ok6O5qlvnM2p40fp7ummosYHLhXLgv5eqKqxtyml5MiRQ5SWllFUWpkQwWBISUi38MYotfv8bpasNtizTXJwj2TleruM0XQmmKSEoV77/1uOw8mIzi1LimkqnpgUqi3QuLDOy+HTBotUQd18K6l3UlgmiqahKIJZTQZHD7noaQ5TPd8+55PLIplSYknI9vUQCkg62uw62f6C7FYuLbcrEfR2SUrLJ9Z14oGWUtLZbodvu2NSMRRFTbp+NvMDEcvCCEv8LhXXpMnNVJOdk0P9w6aFqgt8rtx07kIht2UhZgghBA0NDQwODjI6OpoxfDRPnjy5J/rcFRQUUFJSkvYZzMqALigo4NOf/jTf+973+OY3vxn3W0lJCXfccceMFzDPkwds77OTWdre3l5CoVBW4dvJwrZNE1Qt+xeaaWZneGRKkzh20A4nXLDk7BjP4KzGKsB0TMZM4dtR7Jw324tztshkQFtSEjlD3mewz4mT+7Q/aPD40UEubChgToYBvBAJgsSOaCzUmFuksrkjxJX1niTtkvYIXVXY2TnKiG6xqdE2lmeXuCn3quzsGHVkQPcGde4/0MfuzgB1hS4+ekEtiyp8PHKkn0ePDtAd0Knyn9tlbXyFCovPc9N32qTliM7+rWGqG1VKKlVOHdApKldoXJj8GKJe7GO7I5w6oDNnuV37XdfB5c6Qy6UmGtDVNbW4XC7a2tupqGwEF4z02/nVFWPh2729PfT197J+/QYsEr2zAEHTQlMFaigAXi+KolJYpLFohcGBXZIj+yULljvvV5IRDkAkJIgU6LhHXdxQVsr6msR8/mtnF/BMl4GJpKQqyYYsiRITblFSKikssmhvEVTUhVH9nqTHaMTUoXbKqWMSIaBxXvZGkqoKyirs+tvzFsvxZ96JfsbosEVgxKJpbuKElsuVeG9NpS73iG5SLFTUmL4xmW0fMRPD/AECuommgMuhRz0dryYbVAhBaWkppaWlZ7spefLkyUDWsZ/l5eV8/OMfp7e3lxMnThAKhaioqGDhwoVnVeE4z2uLbMK3wRbAc8Jk41mPSE4ekTTMEbhcApFFzq1lOc9DhMwCMEODJqdbdeYscOP1nT3Xq1NnqjUmPDSVWfQshMhRVIE5w+rW6chUwipszLx42FT43YE+TEvylkVFQPryg9MZhG6q9fKTI6Ps7ddZmUy52zRAdbO5eYgqv8aSSt/YPgXragt46tQQQd1K65Ha0xngB7u7AHjz4jKumlOCNjZ4v7SxiD8eG+DZ5mHesqR86gdyhhBCUFGvUVKl0nZUp6vFpKvFxOMTzF/lTutNLqtWqZ+v0X7MwFcoqJ3jskW9dIErtWh68jBuVaW2tp720200zeqmtL6RoV6BqkmKx/J1jxw9hKZpNDTNTX2TSMno8ChFMoJAgr8Ql8tNWYXJnIW2KvfxQ5LKJrvG8VQY7BGA5MGhfq71lFIZ8GDodqh5LAWKyjyhccAKUDKqMbt40gKWGRcGLQTMajI5uM9FxymDhsX2+Y8VfDINaD4lkaakaZ7A403/sEgp6TptlwKbNRfcnqk9XBXVgt4uydCAXR861nscCVscOxRmeDCxs46E7e+q6xJPdrK+ekqRRGP5zMXeMa99ivDtkJ76ZTISsSj2iDgjfCq8mgzoPHnyvHrIehRumiZDQ0NUVFRw3nnncemll1JQUEA4HM68cp48OcCyLEfh22ALiJWXl+P3+x1sN9Hz3HJC0t0BJw7LrIy0bEO3IbP3+cj+EC6XXYfzbJKNRyLd2EsI25My+aNp6WuhTkZVxVkbJKUaGMZyJsO3ndI6FOa5U8NcNa+EKlfm6zmd87u+yk2tT+Enh0fpCSV5bk2TtuEIR/vDXNZYHBcGvK62AFPaYdmpiJgW9+7vocrv4rOXzeL180rHjWeAMq/Gqmo/W1qHE2oEn8toLsHspW6WXuChok5lwVo3mivzhaibq1FWo9J6xGCg2z7f0krfH6UK/V04fz6qqvLci8+w5+WtDPREKCoHhCAcDnPq1AnmzJmPVLTU3k9dxwqHCJoSGYkgdR1VtcOF6xqhvgl6TsPRnYLBnuxTBaSE/m7oRKfIJ1i1VMEyoac18VwNdIFAcEoJ8sjxkcSJLdNIOBeFRZKycpPOdkFkxM7ZF4qClDDYY7e7qxV6OmHni5K2U6lrXY+OSPa9LDl2QFJUAg1NU3+wyirt/ieqxq2qClJKWk9F2PLkKG2ndFQVNC3+4y9QmLfI7Vh0cqq56aaUBMdU0ZOFb+vmRO3uZFhj4mSGJZN+nLYrb0DnyZNnJsjKgO7s7OQDH/gAH/7wh+M8gLW1tfz85z9n586dOW9gnjyTcep91nWdzs5Ox+Hbk73FwYCksw3cHhjsg75uiXT40s5U6zkZ6fLXersM+rpN5i5y43IwiJ4pTCs7b2o6Y1tVBS534seJkTCZqayTCzQt/X5105q2mNpM8ODePrwuhTctKrHFvDIwnUGoSxG8f1kRUsJ39o8QmmzEWgabm4fQFMHFswrjfppT6qHUo6ZV437q5BD9IZO3Li2n3JfchbmxqZgR3Zq2qvfZoKDEDs32FTh7XQshmLPchb9IcGJvhOCoPYFjmakjYlJFvxQXFnH5xVcxp2kezSeP0tz1EEH9GIZlcfzEUUzTZO78RXakSTID2pxQW4+YksGIxfDQKIGIgVRUJII5CxXmr7a9xa2HFE7tF4QTBdpTMjxsYYYFzYS4c0UJJcUKpdXQdxoiMRp1UkJ/h8BfLNkwx8uxQZ39ffGRF0qKiJmGJhMp4fQJEyyJHhI07xe0HlLQXDB3lcWK821P8Kmjkj0vSYYGYgTSDMnJIxZ7XpIERmD+UsGK9QI1Q/+RDlUVlFbYnmwpJaPDsO25AAd2hygoVtiwqYD1Fxew7qLEz/wlSfQIUjCd7JiQYWFYMmn49uTc56T7tiSDISPpZyBk0B80GAmb4/tJhh3ePo2DyJMnT54kZGVA33vvvQwNDbFu3bq4cG23280dd9zBj3/8Y44ePZrzRuZ57eCkLJVTA7qjowPLshyFb0spmbzr5mMSocCK9QKPF04edeaFTqe6nbYoewoPjpSSw/tD+PyCxjlp4jDPANnnw6X+LVPoczYI5cwrcitK5lztUBYh/GeKA91B9nQGeNOiUgqFs+HxVJW4o9T4VN61pJD2gMlPDo/E5buGdJOtbSOsry2g0B0/0laEYG1tAft6gkkH3CMRk8eOD7KyysfiCl/C71GWVHip8mtsbhma+kG8ilBVu760UODorsi499k0UntHE/ofaWEadl7siiUrWTz39bjUQg4e3MJTT/4fhw8fpLKyGn+RXd1gsrgWloTQKJOz503TIBwIEbYEI7rFcNjEWyiZt1pSO88iOAzHdgq6mkXGetaWlGw5HEFKyYaFbqrGJlCqmyQI6Do1cdOODth50mW1kovqfFT5VB45PkLYtIiYkohuG2GRJJ5Rrxeqaiy6uxSaD4Q4tN0iMAy1cy3mrZb4iwCXZMkqhSWrBIYJe3dIjuy36D4t2fmipL0Zqupg7UWCmvpEnQIp7fSYdF7ZyVRWC/SIrWi+7bkQwVGL5Wu9nHexn8Li6df4i6bhTIdgEhUy05JEYr6f6j4sKQmbFqMRk8GQQd+YQT05nz5vQOfJkyfXZJVx1N/fz3e+852kAgcul4tly5Zx77338qlPfSpX7cvzGiNa29nrTT5D7rT2M9j5z6qqUlNTk3HZye/v4UE5nqPm9Qma5sORfZKONsmsOem2kzxUcqhfcvywRFVh2dpEY08IJaUBfbpVZ2TIYuV6n2NxrZki23C+dPlzuVLQDuoWQcPCo4KQImkt45kgk/d58iDxXMCSkgf29lLu07hqfgmEnJd3mqoSd5RlZS7+eq6fB04E+ENzkL+abadVvNQVJmRKNjUlFwqL5kHv7Q5wXl28h/qPxwYIGRZvXpw+t1kRgo1Nxfz6YB9twxEainI4ETXdEzNDeHwK81e5ObwjwvE9ERautfN3jRSiYoqqxqXGWMZE/WcpwQxXsWTRtVjuIxzcuxNdj7BixRrMsf44zgMtsT3PqfrqSBhcbjRNQ4/YXmAhoKIOiisknScF3S2C0QGYs1KmNIAeOzlKUciH4bVYUT1xTV0eqKi3w7grGiS+QujrEKguSXGFLfz3prkF/Hj/EB9/rifptq+dY3JDgzp+nuoaTHq6FbraoaxaUDXbissrjxpz5VUKJeV2iar2Zug+LfEXwqIVguLSiQOR0p6QNCyJYUrb0zt2HxW4NTQH/WNZpT152NcNs+a4WLDEi8udu/5vuqXFABCSgG5REDM5Nnky7J5dPXSO6nz4olrc0xAOk1ISNiVGSFLgnlACt6/hufeM5smT59VLVgZ0dXV1WnVAXdc5duzYdNuU5zWMlBLDMAiFQkmNaKfeZ7Dzn2trax2J28mY97mUklNHJS73RI5aZQ20N9vhebUNFloKQSPDiA/djkTsbXWftkPBAyNw/KBkwbL43NlU+c+mKTl2MExxqUJN/dkX6cvWHkzlsBciN/U5I6ZFYCzPLmSMlSDQwasp0xafSYcT73P4HDOeAba1jXByIMyd66txCxyFb0dRxPSrwVxZ76Ft1OAPLSHqCzTWVbjY3BFmVqHG3NLkuf3zyzwUj4VxxxrQPQGdp08NcfGsQuodGMQXNRTy0OF+nmke4h3LK6d5JBO4XGAaYlpl22aKojKVpqUuTu3XaT2i07jYDVJiGiJBYEtVFaJ3g5QSM0YPYnREwzQFJZWS4oqF1DU0MdLbQU3DbHQrifJ7OJjh3pIQDqF6vRgivu6tyw2zFkn8RZLTxxWGepIrZu/sCvFSc5ibtWJq6hOftcoGSX8HdJ4UNCyUDPdBZcPExN3KSg/vXFpMXzQv3zDRFDvct3XU5LGTQ5Sqfi6vs99DLhcsWmIgJRSWqoSSPP5hU+Iai4aZvUBQVWeHVldWx5cSMy0Y1c2UntegblLoVjN6TlVNsGwNeLwuKiqdh2U7JReSAUKxDWa3KnCpythEw8SGg7rFc83DGJbkJy938+7zqqf9bjClZChs4Hep+FzKuTrHlSdPnlcxWY3IdV1H1/WkpQ4GBgZ4+eWXk/6WJ49Tot7lqBHt8UyUvnFa+xlgZGSEgYEBFi1a5HC/E2/X/h4YGoB5i+0cNVUF0xTMWQD7dkpaT0jmJNmsZcrxkEMpJR2tklPH7O8aZsOsuYL2Zmg5bnskGmZPrKummHVvOREhFJQsX+s7J2pCTqWkSTJyEb5tWpKRSPzAWQgwhT14cisKXtfMGNJOcq7D51j4tm5Kfr2vj8YSNxc1FtpewGzIwWkUQnDLggI6ghY/OTzCyFw/raMm71hYlPL+VoRgbY2fF9pGCBsWnjHX3EOH+1GE4K8Wljnad6Fb5by6Ara2jfCWxeV4nbj4MqC5BEIRKGpiCsjZQgiBooE1NqFU1aARHLbobDbxFRpUNmh2X6XGl2BTFHVcXVpaEFsbbmjAhaJICotNQMXt9tA0ez6juglMyn+O6HZ970wYEYTlRtU0DD3R2C6rhb4OSecpQVGFjItYaRnWuffQEJf6ikGHkgr7e4+mYFpgWBaqBlWNko4TCq2Ho9uceCaFEKytnjA6lXAYj2ZPZFpSYgqN+48FqPWpLCm1xzWFRWPrWwZCKMiEsHdJ0LAodNvf+wsE/oKERQimMZ6j+w8Z6ZXno5SUCTye3EyuTq6aMF0PtKJOTKyMRiyKvYKQYcUd+57OUQxLsq6ugBdbR5hV4uYNi5w905kI6Ca6JfGpU6zDlydPnjwpyGoEsWnTJv7rv/6Lrq6uuO9feeUVPve5zxEIBNiwYUPWjdiyZQvf/e53efjhh/nv//5vdu3a5Xjd1tZWbr311qz3mefcJPbFahgG4XB4/DuntZ/B9j4DjgXEooNfadkeY58fqsdSp1XNFrcqKbdFW5pPyPFSIOPttiT6WOj2yJBky1ODHD8kKSiC1RcKZi9QUFXBrDlQUW17svt77OXt+p2JHuhIxOLE4TCVNRrllWff+2xJmXWt1lQ2RTYq26naMhxJPghVNXvQFrEsAmnKpEwVRcncft20plXXdiZ46sQgPQGDm5dX2GHuhnPvM+Qu5N6lCN67tJBCTeHeYwG8KlxQ6Uo7wF1XW0DElOzrsdWlTg2G2XZ6lKvnFlPqdf5sbGwsImxKXmofme5hoGpiPAoh2YRQULfY2x1I+mkdym7yonNUz3g/CcUW4HN5xtTsY5zyjYtcFJUrnDqgMzxgG8aGnph7qii2krNpyHGXnZQwNKhRVKyjxDzRsUZgbP5z+8Co8zzecIj+CASSTDYJoHa2hR4W9J/Gzqm2JMMhkx/tHaTApbDE5cNXJHGNBS+4VYUCt0KhW8OlKJTVgtsrCQwJCsvAncpJa0nUmGNThOADq6uo8at8/+AI3UnU45UU0VCmZaU9/qDuTFgwYqYWxppMpgoOTpCGAeFQ3HfTjaqI7TNMKQlErISJxe1to5R4VD5wYQ0XNBTy63197Do9NbE/05K0DMY/W7pp59nr0w2fyZMnT54YshqVr127lubmZv7xH/+RqqoqCgsL6erqYmjIFmaZN28et9xyS1YNePLJJ3nggQf4+te/jtfrpbe3l49+9KN84hOfYMmSJWnXNQyDb33rW+hJZq/zvPqwhbziDZ5oyLbH48k6fNvn86VNOYgSO0joOg3BACxeZZdSipYpEsIOLZyzULDrRdvIXrg8tp127nPzcUlHK7g9FguXCypr4kOVhRAsWAahoOTwXsnK86Gk1J2Q/9zVoXPolRCmCQuXnt2yVVGm5I2QdrmRyV7g6TqFRyJW2vZoLtsJZlgWEVNMK68ucdsOvM/nWLmkQMTkkYP9LKvysaLGb88Ymc6fp1xT4lZ4/7JCvrpniEtqPHhVwDJTFgBfUOalyK3wcscoa2v8/PpgH4UuhWvmlma137mlHhqL3DzTPMxljam93plQlHgFZXsSbKIvCRkWX32xnfaR5O8mRcB/bGpMqRoey+HeIP/9UgdXzC7mbcsqEn4XikDVEid1hLCNaCMiEYpdQ/rA1jCHt0eonaNRN1fDVJS4UG5VVYmExu6LsbyW0REV01QoLtHBFHYsM/HRKNHw5BN9Ab6yo58an8Lb5xewtDR1RFrQkDxyfJCnT4ep9Gn84+oSfKoEwxy/PwtcUFDop7tFpbRwBCkkPzocYdSw+PvFpYwcEZTPscbOqRjvV1QF/G4Fj6bQMNfixAEor0vzTEozYRLT71L4wNJCvrR7iO/sH+Fjq4rxxl5zy7S99Enu2ZBuoSUJwQ4ZFnoWoQrBsdzhdP1lKgX1rAkF7dkS74QY33R7iMlpLpPTWsKGxSudAS5pKkIRgtvXVdE5GuF72zv5t02zaCh2rlVwrC/EPbu6aR6M8A8ballTN+H6t7Dz0/3ZV27NkydPnqRk3ZvccMMNfP7zn2fp0qUYhoHf72f58uX83d/9HZ///Ocd1duNEgwGueeee7jsssvG810rKipYu3YtP/rRjzKu/9vf/tZxiG6ec59U4mDRcG6n4dtgl1yrra11NLCIjgNN0zaAi0qgfCxFMlbsS1EEJWUK1fXQdkoSDEQ94xadbbbSakcr1M6CTdeUUlWbqLQa3eaSVfaA++AeCXJiEB0MWOzcGmD3S0FUTbA+R2qquWCqKb3JPGfTCeEejZjoGRojYgycoG45jlzIhBPvs5TynKs3/IfDAwR0i5tXjBlgepbh20xfiXsyTYUaXzq/lJvmjr0z0kyQqYpgTU0Br3QF2NkZ4HBfiDcuLHMU4hqLEIKNTUW0DUc4PpD9OYhuQ01iF0btL0tKfrS7m45RndtXVfGvF9XFfT50Xg1SwnMtw47293SzPUH91Kkhnp2kIq4odnRMqnsy1tDXXIIl53soq1U5fcJg7wth+joMrNh7VSgTE4pj/fHQoAuhSAqLDTsufPx4Y/rGsQf6mZODeFTbWfz/9g7zg4MjDEyO1pGS7d1hPvvyAE+1h1lX4aY3aPCzff1YgYA98zU2uSME1NSFME2F7k4PDzTrnBy1eMccN/4Ru53FY7d0slQNVYG6eoU1F9kRRKkQppVUxLHKp/KeJYV0BEx+NEk9XlFEyjSIqKBYLLols64Jb0lJKEMUTbryh06R4bFzbpm2J5qxCdNp9JtOBC9f6QwQMSXnNdjaBh5N4UMX1uFWFb754mlGIpnf+SNhk5/s7OILz7QxHDYpcis8eXwwbpl8Kas8efLkminFhc6fP5/58+cnfB8IBBwJNkXZvXs3o6OjCUbwwoUL2bJlC83NzTQ1NSVd99ChQ7hcLubOnZtd4/Ocs6QzcrIxnkdGRhgdHXWkvg2MDyDbm+2x25JVE4bvZENPUQTzFin0dFgcP2jRNF9weK/F0AAUFsPS1YLCYoHLrUAagWOPV7B4Fex7WfLKy0HWnO+n+XiE40fCCGDhMg9N89zTDnXOJVPNh5u82nQExMKG5ah+KNghttKyvYJ2PuH0B5pOvM+6lX2o+0zSG9D507FBNjQWMjsq1DXFqB1FpC9Nli2FsQZwBs/c2toCnm0Z5qd7uqnya1zWmFy1OxPn1xfy64N9bG4eYn5ZlsJLAjR38vs32lc8cqSfPV0B3ra0nAsbChOWA1he5eP51mHeuKA0bY7+YMhgV2eAK2cX0zGqc9++XmoL3Cws98btMx2qJpDS7udcHsG8FW4q602aD+oc3RWhp91g3ko3Xr+KNG1vpjQtkLYg4vCgi6Ii3Q7HHQujFqoy/nxFa0CPhAy2d4W4uMbDzfP8PN4a4o8tQfb2R/irJj+X13voCVncd2yUAwMGTQUq71tawNwijWc7QvziaIBH2gxumBU/O+HzW5SURejp9rDPGOKaOo01ZSrHDrvw+QzcMgyWFzXNs+n3C0xLJaAnljiC9J6EJaUubp7n51fHAzzSHOSGMfV4IRRbKM00QE0c94wLiin25ONU00n08Sia5Mc33fBtKSVxhbcNHTRt2vXrndj129tGKXIrLKqYeA7L/RofvLCW/3yuje+81MlHL65L+oxYUvJ88zAP7O0loFu8fkEJ1y8p5/+ODvDwwX66RnSqCyfupbwBnSdPnlyS08TKl156icbGxqTGdTJOnDgBQGVlvCJqVZUtuXns2LGkBnQoFOLxxx/n7//+79m8efM0W53nXMFpeapMdHZ2Ajg3oC1bLbvtlKS8CopK7Detqib3IPsKFGbNlTQfk3R32KWp5i0W1DRkZxiWVWgsXa2yf1eIzX8axtChuk5j8QovXt+5F2pmTHFANdnwnmourWlJRrMchGpugWnYg1m3mhhKng2Kmtn7DBA5A+JhhiV5/tQwa+sLKPakH6n+7kA/AG9eNlbqyTTJWGA3BTM6CM0QUr643EuBS2FUt7hxUTnaFK+lV1O4sKGQ51uGKfb0JTjVNUVwaWNR0vBqt1shEEy+XyEEOzpH+OOxQS6ZVcjls4tTtmFjUzHf3tHJrs4A6+sKUi73XOswloRNs4spcit85YXTfG9nJx+/uJ4Kn8txRIDmEujS1moAKC5XWbZBofOUwenjBrueDlHZoKEoY4ripgDDi2kKDEOhuDTm2kgTZUyAzRYrs/vJF1oGMSRsrPPgUgRvbPJxfpWb+44FeOBEgM0dIXpDFpoiePs8PxvrPOMl5y6r9dI2avL06TB1PsEFFfHnfrgggNVXwtXeIjbWhYlEBKGgRk1d0L5vAiNoIRP30T1E1m9KGlatKuB3JTGix/OfU3dMl9d5aB01+WNLiFkFGusr3RN9fTgM/iRDKWl7nL0uxa4UMA2DNGRYqEIlWSZKqvKHzjcejC9DYeiAb3qieCJ1VESUiGmxu2OUDY1FCf3yggovt62p4scvd3P31o6kKvtHekMc7QuxoNzLbWsqaSyxJwc3zSnm94f6eebk0ETEDXkDOk+ePLklKwP6gx/8YMrfLMuiv7+fN7/5zY4N6OFhO4Rtcrmi6N+Dg4MJ6wDcd9993HzzzY5fHH/+85/585//DMCXv/zlBIP9TKFp2lnb96uBYDCYk3z2HTt24Ha7mT9/fsZ7xLIk4ZDF4f0BLDPIirWlFBbZgy+PV0k5CCg6z2Kwb4CSUpUlqwpwuUTc+EhVFUpLUyuJCgF+fwH19QrS7KetJcDq88qon+U8BeJMYkmJDEzda1nmnxgAud1KyjJg6QhETJTI1LLyLEuiWFDgmvqcodenJr0fYp9rKSUEdApm2AP96P5OfrqrmxfbA/zHG5bgSpHjfbIvwJbmYW5YWcuiWfaEkgwGkVP0xpumRI/M3LEphcUp86ABrlkUonkgyJVLGqaV93nDSh8vdx4eD4+OxbAke7pDfO6axfhjzpOqCdweF+XlyWtOH+0Z5ae7T7C4qoD3X7wALU3e/aXFpdx/sJ8tp4NctXRW0mVMS/J8Wysra4pY3FANwL9eXshdjx/i+7t6+ezrFlFc6HIcpSKlJBKy4vqpigqYv8zk0M5ButvCE8JhKID9zHq8ktp6L6pqv5cVjxdPyUQ/ZZkCzeXlufZWFpV5WFY3YbQUF8O/VZexrSPAvYf6uLDOx61LyylNohp9x+piuiMdPHAqxOyyQuaX2N7DzoDBz1v72aAFmWf40FQPo2OXrbbeg9dnG07lv/lfxJ4X8Q/2ws3vSXkeyqRkOKRPRFIYOl4KEu4nVVUpLi4Z//u9a0tofr6NJ05HuGKePcnvdgexpIXi9Y/nhk9GVaAwBzIWblWhYNJ5UxRBQUHyKAcnSNPAEhL8vrjvleISRnSJZ4p5O7bwZvo+/sWT/YRNyRVLaikvL0n4/YbyckYtFw/t7eBAdzDh9yKPxocum8MVCyvHJ2IAyoELmgZ5vmWEOy6ZP943elSFYl/ya5Qfm+XJkydbshpNdnd3p/29urp63KvsaOdj4d6TX1zRv5OFg2/fvp36+npqa2sd7+fqq6/m6quvHv+7p6fH8bq5pLKy8qzt+9VAMBjMKlQ7Fc3NzVRVVTEwMJBxWdO0FbWbj0tKK8AwhxgYsA1cdyj9AGDdxQAmujGEbtjeHSltj3ZJSRkDA/0p13W53EQitkE6ay7MmusDQvT1hVKuczbRTctRPloqIqPq+EDG7cnsnUjGYMhwrEqbipCiIGT2+1YUcAeT3w+xz3XYmN55ckJQt7h3RyuVfo1DXaP8z5OHuWNdVVKD8gdb2vG7FK5q8tLX12d/OTKYMVw6FVI6q1A0ZcI6uFMLT72+yQdNPgYHB6a1Gz/w1Ssbk/52sDfIN7Z18D+bj/C+ddXjg3OXR+ByV0ycxxgGQwZfeLqVIrfCnSsrGBlOPvkbyyUNBTx0uJ+DrZ3UFiZ62HZ1jtIX0Ll58URf4gfuWF3Jt7Z38o1nj/CBC2uy8kBKS2Ka9v0slIl37fw1KvNW+9DDtpBjeGgAIhMXOhiTjqKGgwTlxG+qqnGws4fOgM4bZhUwNJR47EsK4N/XjXnkw6OkEiG/fYGXL+8K861X+vnoUi8eFb5xMIyQkg3zIvQe93LiqIlpCrw+iWGMMDIM3s6TiD0vYpZXoz75EIGyaiLnbUp5HuyQatsTreg6epL+qLi4JOFYlpeoPN4aort/AI8qiEQi9jtrdJSEelU5RgiBPinaRNM0wuGpP5BydDi59kAwzDBTD+PW0uTlR3n6cCcFLoV6j5H0mQK4dq6PazOk6Q30x79nhRBcMsvHi6cGeHxvCxeNpXp4NIXIaPLJuZkem9XX18/YtvPkyXN2yMoNdN111/GLX/yCX/3qVwmfr3/96yxcuJCPfOQjjrcXVUgOheKNhujfk2f6h4aG2Lp1K9dcc002zc7zKiEXIdzhcJj+/v4swrcl/T22Fkxtw8QLX3UggDIZux6sXUrG41Vwe2yBH00TcWHLQiivunrpUxUQixKJESqaivFsWnLaxjNAGInLlX04n9M2R86AeNgfjwwwHLF43/k1XL+kjOebh/nTsUSjZV9XgL2dQd60uIwC99jA0TSmbDzDGQiDtM6eMniUJRU+3rq0gj1dAR4+Yg/OFSV5OgfY9bXv3trBaMTiQxtqKU0WzpuES2YVoQrYnEJMbHPzMCUelVXV8VEpK6r8vGVJOS93BPj94QHnB8ZEqSslSXqKELbgmKIoqSPDBYhJ2syqprK5ZYgCTbCu0rlqcpRYIbhCl8L7lxURseBHx8LcczxCT0jyd/PdVPkFldVhRoZdBAOarQoOICWlzzyE5S9i5IOfR1+wAt/vfoR68nDKfUbDuRUhshoELSjWsIATw1GRs7EzZVlpRfBygZQyoR+eTv6zjERSt9nQmfI0oIPwbd2U7D4dYG19wZRTMZKhKoICl8LSKh/VBS6eOp4YYZInT548uSArD/SmTZtSioTV19ezePFifvGLX3D77bc72t68efMA6O3tZfbs2ePfR2cC58yZE7f8yy+/zJYtW3jxxRfHv4saXbfddhtVVVX893//t+PjyXPuIKXMiVJytEa5UwNaWtDRJnF7oCwmgisXNW/HlT8VUBG2OnNE4na7pxV+ejaYqoBYFN2yr68TZdZkTFa0nSqmJYlIcKkCI4tcZSf3gyWl8/q3kzjaG+JPxwb4u7XVaZWl+4MGjx8d4IKGQuaVe5lT5qFtKMKvXumlvshtl6gaa8sDe3up9GtcOS8mPDIy/RQJIaaVzpmeHESg5IJNY0rdjx0bpKHQzUVzkguWDYUNfrqzh2N9YT5wQQ1NpR4sSzpKMS/2qKytLeDF1hFuXFQWV2qte1Rnf08wpcjY1XOKaRuO8LsD/TQUu1lf7yyM9w+H+nk5XY1dWyPMVmIey4stdQvePtuNT4uW9cPOoR9TiRoM6uzuCXNVvRdXlsaQSxV4FEFYiPG85IYCjdsX+vnuoQASyV83uVgwllZTXhmhr8eDrisUl9r3su/4PjwtRwm84R1IXwGBWz5I4bc/Q8Ev/ofhv/8csjR5aK6qQIFLwS3tlJu405Di/p5XrCGAY0MGS0pd8d5/3RbfmkkMKVFjpjemqsCdIBw2CVPXQXimVG/QiU2/vztA0LA4r9722itC4FLEtPv5ApedJ64IweVzi7l/by+tg2FmlZwbpSDz5Mnzl0NWZkImxeuSkhKee+45x9tbuXIlRUVFHDlyJO77I0eOMH/+/ISwlwsvvJCvfe1rfPWrXx3/vPWtbwXgq1/9Kp/4xCcc7zvPuUUuBcSEEI7ymaQlCYxKBvugpkGMz+bb4Y25N3CFELhcWlZK9TNN2EhfTzlKrIDYVIx/OWZcKlOcOMilZzdoWEiR3facqB3r5tQngZ4+Mci2tlG+u60zrYL3Qwf7MC3JW8YEwRQhuHN9NQ3Fbr6zrZOOYTucc2vrCM2DEd6yrBxX7KSFOf346+mUIMuIZeZW5nuKCCF427IKFpR5+NkrPTQPxp83S0qeOj7IJ//Uwp6OUd6+smK8FI+iCMeu+o2NRQQMi+2TjNrNLcMoAi5NoTQuhOC2VZXMK/Pwg+1dtAxmLsn19Ikhfr3fDpUtdKvJPx6VIo9CoUtQoAn8mmDfoMXPTkTscOeocRQz0fHsySFb6Kw+OyNFCIFv7N6cnC6+psrLO+a6ub5B45Kqif5SUaC+MUBldQiPxwLLpPTZhzDLqgifdwUA0l/I6Ds/itAjFNzz9ZSlpgAUy8SlqqhCxH00RSS1Hf2aQr1f5eiQPn4M45jGjN+7phnfD09ZQCwcShuJYsCYmFj2OGnS9rZRfC6FZWPRFZoiKHAr0/JG+1wKLlWgCIGqCC5tKkJTBE+dyHuh8+TJk3uyGsnv378/5W+Dg4Pcd999WXXoqqpy00038Yc//IE3v/nNuN1u+vv72b59Ox/+8IcB+OEPf8iJEyf47Gc/i8/nw+eLF7soKbG9K9nkROc598iVAd3V1UVFRYWjEGlL2t5nIezwbZfLTTgcmlL4tlO8PncmseEzhpR2eSe3KvCl8WRIGVOWSQg0N+iR7N2QuiEpyLJqENiiTtP1gMcipWREN3FZzgZsTstuhado5Esp2dcVpMSrsqczwG/29/HXyysSlmsbivDsyWGuml8SV57Fqyn8w4ZaPvd0K994sYN/vaye3+zvY3apmwtmxXgmjemFb0eZ+TBu05Z3PstoiuA9a2v48gvtfPPF03z6ilmUAyf6Q9yzq4eTA2GWVvn4m9WV1E1SCVYUZ0LnC8u91BW6eKZ5iItn2cayblpsaR1mVbWfMm/q8+DWFD64oZbPPWVf909dPiulIvuhniC/2N3Nihof/3hRXfqJLAnh3l5CAdvwfKHb4P5mnT+0G7xl3th9Z5rgsruAZ1sCrCh3UVekZpUf79fEeDtUAZPNtUvr/YQjkXHl8CiFRSaFRfbJLdy7FXdvByNveTd4Jgx4q7qB0bf/PQU/+2/8D36PwC0fjLtxpWVBOIxqmQhPcsM/lWL/ghKNF7vCmFKiKoqthB5toh6Ja0euiZ3InGr4tu19Tj/hIqW0+wt3liH5QmScfDYsyc7To6yt9Y/3v66xlIJCt8pw2Mw691pTBD5tYuzpUgSFHpULGgrY0jLMXy+vwKPN5Mxfnjx5XmtkNUr593//94zL3HjjjVk14A1veAOapvHd736XpqYmjh07xgc/+EHWr18P2Ib54OAgpmmeU567PLklF+HbpmnS3d3NkiVLHC1v6Bbd7VBeBT7/RDjeTHnYoh5oy7RmLgQ2C8KmbRhHTEghTgpAbNllZUx4SNNk1g6KiJQgJI5r70TXy1H4diyWhFHdwqMKvBkGVk7yny0p0afYzrahCINhk79bW8XJ/jCPHh5gVrGbDZO8j7/e14vXpXD94kR198oCF39/YS3/9Vw7n3mylaGwyR3rJhlKkdyof824AW0YMx4K65QSr8Y/bKjli5vbuPvFDhbVBnnsQBfFHpX3nFfNhbMKk06uKKozA1oIwcbGIn51oI9Tg2Fml3h4uSPAqG6xsSl1GSyw+6lSr8aHNtTypc3tfHtrB/98aX3CpFBPQOdbWzuoKnDxvvNqMkeBSAu3SyGsCKQluahKoz1o8WSHQUOh4MJqbTxXfW9XkP6wxd8s9iNEhuO2LLtuMuBWBS5j4rlT1MQOSAgFr8drT+BZ1sRHWiBB6GFKtvyBcP1c9CVrEZMm740lawm9/m34HrsPs66J8BU3IE3Dfg7GOi+XO7Wxm2pybUGxxjOnw7SNmjQVaigx4ecYOrg92XZxjonmQavK1MO37bzn9C8gw8K+xpbMKow7atNLKVNOOh7sDhLQrfGIDWA89F9VBAVuleGI6XhMIIS9Tuz+otfuinklbGkZ4cXWYa5dmLoqRp48efJkS1ajlIKCAlavXp3Uu+f1elm6dCkXXXRR1o245pprUgqDffSjH0277uWXX87ll1+e9T7znFvkwgPd29uLaZqO85+7T9tjidoGgaZpKIqCpikzZiBEDXQ1y/zbmSDqfYYJ4y9VKaRYb0B0jKqoAsUCKxuvq5QYErId9s2YMJeQBHUL3ZT4XUpKj5OTCZXptHFvl52LuKLaz8VNRbQPR/jxy93UFLqYW2a77A/1BNnVEeCvl5dTmMLLuLjSx62rK/nZrh5W1vhZWhUjPiUB41ViQOcoGiUXKBo0lXp41/pqvv1SJycGurhqfgk3Li2LK3GVsJ4ixjyTme+LDQ1F/PZwP5ubh7htZRXPNA9R5ddYUpE+XCN6HeaWebl9XRXf397FL/f08M41VePLhAyLb7zQgSnhHzbU4nc7ePosEyFA0xT0MUX5Nze56ApL7j2mU+1TmFsESNjcPEqZR2FVhT0mUFMY0MpAD2U/+0/UoeRqy1r9bCKvvxWjYV6S47TTa6IeVykluq5T+OJTaKNDDN54J0qKCZfwxjeidjTje/wBzJJK9IUrxn9TFTWtFzeVAT2/2N7X0SGDpkINIRSISm5FPbfTKJeXCXMsD3py3rZjHMx82t2ZtMPSFeeCl4oCI2GTf3+qlYZiN+9YXUl1Qfz629tG8GqC5dV2NGE05DqKS7WFwJxWM/BpiZFE0b/nlXloKnHz1PEhXr+g1PFx5MmTJ08msurlb731Vq666qqZakue1zC5MKA7OzsBZwJiUkpOt0p8fiitUMYHUi6XiiVnRshowoCeccHWjISN+HzdiCFJZQ/Ehk/HGpOqBpblPJRbKIKIKUlSAjYluQ7fjiUaZmtYFsMR24h2JxmUOslKiRhTv3/3dQWoK3JRPqbe/IELa/n8061888UOPn3FLEo8Kvfv7aXMp3L1/MR6qbFcPreEUq/GvPJJnjU9Qiavk1OEID5sNdeYhr3ts62zJ8R4Osd5DYX840WC2TUVlAhnpeZUFUfpGj6Xwvl1BbzUPsqGhkKOD4S5aUl5ek+xiFfRvqixiNbBCH88MkBjsZsr5pVgSckPd3TRNhThIxfXUVvkMBx3LL/Z5VbQdRMkuFyCOxa7+eqeMN8/GOZjq7xEzCAH+g1unOcbN4CSeaFFJETJ/XcjwkFGrngLbk2Nd2oaOuq2pyj78ZcIrtvI6BVvQfpSl4QSQuCOBCh+6c8EFqzCapyf2hsrBIG3vAul+zQFD/2IoXf+E1Z1g318GaIcUgWmlHtUyj0KR4cMrqy3J0vitO+MyIwa0IYp8WjKNDzQ6Q3oOEFPw0hZ33oyYix8+/eH++kLGozoJp/6cwtvWlzGtQtLcakC05K8fHqUNbUF4xO2yYTnPJqCKe0JznS4FJFUdFFV7Fx2E7tP/Nmubo70hljnUGwvT548eTKR1RRm3njOM1PkIoS7s7OT4uLihDz5ZAwNSEaGbPEwTbMHCEKAlsarNF0mQsTFzAoxZcCSktCkcONIGhX0qAErJpXyEUKgZVGNS4gJNW6nzET49nh7Yq6BlJLRiElQT5w8yRTCbVpTV9+OmBaHe0IsjylVVOxR+YcNtQR1i7tf7GBLywgn+sO8ZWl5UgN/MmvqCiiePEuR4+LNM+uFls7in2eYyc7JVbUFzK3wJ184CfGl6yZK3Lk8As0dfwI3NRWjW5Lv7+xGUwQXNaQf6Cc7/zctL2dVjZ9f7unhYHeQRw72s6N9lLeuqBhXZ3fE2L2sqSqqOmYUK1DoErx3iZuwCd87GOapUyOoAjZOEg+Lm3CSFkUP/RCtu42ht7wXc+MbYeMbsC6L+VxxA/o/fInghVfj27mZiu/chXfPlrQTc4XP/QFh6PRfdj2qALQ0/bbLzehtH0G6vRQ++F1EYCSj9xlAIFJOYswv1jg2pI+FKk96Jk1z+nX/0mBKOXX1bdPMGOERF0xj6I4nyhTVVo9/8vggl8wu4gtXN7G6zs9vD/Tx6Sdb2NcV4FBPkJGIxfqGiQkSVwrNEb9LTRkVBROh26nQxra7obEQryb4c5JSf3ny5MkzVaY1jNd1neeee46HH36Yffv25apNeV5jWJY1bQNaSklnZ6fj8O32ZomiQHUd47n10RqoM0Ws8TmTQmWZCBtJzreUScOQpZTjIdzJTo0yVvvaCYpiby+bcOfIDIa6C5Golhwy4z3ejrzP0xgsH+kNoVuSFdXxkz6NJXbY8PH+MD/a0cWsYjcXNSVXZM5ITO5prjgjedBnmak6+KIIxTaUXZ4xozmm/rKi2DWXozSVeJhT4mEoYnJeXQGFGUKtk51/RQjee34N1YUuvvHiaR462M8lTUVcsyB91EICY5MXttaBiNNzqy9Q+NtFblpGJc92mKytclHqiX9IYttWsPkRvId2Mnr1zchFK/Gm6iu8PkKvfzv9d34Ks7ya4od/ROnP/hP3oZ24j+6J+3j2vYTv5c0E116GVVlrG7AZROdkSTkjb/97lOFBCn7zA9wO83pTeaEXFGsMRiQ9YSv5BFuO0iWSYUk59QdQdxC+HfeXdBZGgf28/HZ/H4oQ3Li0nHKfxgcuqOWjF9chJXzt+dN8f0cXHlWwMmZCJ52QY6FbwaspeJJ8Ct2p025gwrPt1RQubipia+sIQ6Gz36/kyZPnL4O0b51vf/vbDAwM0N/fj9vt5tprr+Wyyy4D7FrNn//85+no6Bhf/uKLLx5Xz86Txym5CN8eHBwkHA47MqANXdJ1WlJZAx6vnfvsctvhmlLOvAcabBGYs/Eqt73PyY3SiGElKJXGLprKoFA1kJbIOAkSddQ4DePWTZm1Gmu2JKglj+WGRz0bTgTEwtMJ3+4MoAo7f3ky6xsKuXFphIcO9PPWFRVTLgGGnrnEUbb8pedBq1p8tMVUSXf/qJpAygkdgStmF/OTPd1syiAeBqnPv8+l8A8b6viPp1uZX+bmnWsqsz8OOXHuFUVBmZTSsqpc5U1NGr9vNrhqVmKetu2xFngPbKfg2Ucw1lyC+7JrcWdohyogXNtE/9/+K95dz1P45IOUPvCtpMtaXj+jG6/H69JAEY7uR3POYgJveAcFj/wM5bFfYf7VbRnXURUxySVrs2AsD/rYoEFVjScxpUHXwTW1OspOsKbq+3CQ/2xNjqYxMte3FkJwaiDCi60jvHFRKeW+ieVX1Pj5/FWz+OORAX5/aIDzGwrGI2nUSfnPk1EyeJnTEWuYXzG3hCePD/HMySH+akn5lLaXJ0+ePLGk7RWfeeYZhBDccsst/NVf/dW4ARCJRPjCF75AR0cHqqqyatUqdF1ny5YtLF68mGuvvfaMND7PXwa5Ct8GZ/nPHa0Wlgm1swQutwuPZ6L0RrS2Zq7KakWZXLNTKAJFkWfcTggbVsrQSEPa3tfYAY0RDd8WqQ0KO5RbZowSjq6vW7b6dyaDcCbDtyfalHy/Xsv2bmQKtTctiZxGO/d2BVlY4U1ZYuX6JeVcPrc4MSQ7G3Icvg32xMOMBlmf5Vpv0/U+OyV28umC+gIWlnvjjI9UpHt0agpdfOl1TXhdU6yrGzOjpKoqhpl4pV8/y8VldR4qCxNzOPyagtLZgvq7H2I1zse6/m8dzbgoUWNVKITWXkZ46XrU3o6ky5qlVciCIryawOnTJ1SVyOqL8fR1oT3/GLJmFtYFV6RdJ9WVqPOr+FTB0SGDDTUeFKHY6uBxjcxOgCsb5BRygKRlOXquEuYLHESDCEVy/94eCt0K1y0qTfjdpSpcv6ScK+eWxIVsazMYiTWeBy0lDcVuPrmpgfX5HOg8efLkiIxv6htvvJEbbrgh7rsHH3yQ9vZ2vF4vn/rUp1iwYAEAmzdv5pFHHskb0HmyIlcCYl6vl+Li9N4bKSVtzZKCIigpV/H5tIS6lTNlQE9GUUXibP8MYlqpvc9RIqYVVxM6Gs6cyaAQikDVwEwRch17jqWU6KbEo2UyoGf+3KQyBKNe6Ewh3KMRk6Is0ktjGQgZtA5FuGlZeo/ItIznHNV+nsyMe6CllXUJnVwRDbM+Ewgh0NwSPSIQ4Mh4hszK8KmU2jMy6V5JltIixr4vcydvqzs4hPz5N8BXgHHLBx2LUE1usfT6k6pyx+ISAtPjxmmmh+b1Yl1zM1ZXG+offoGsqkPOTV320J5MTFTMU4Sw86CHbeNSKIIES16POD72bFBUdXxiMyscpkUkdLvSAsNMm2e+vzfIwZ4Q71hVmVadfvJ9mUxALJdoisAcO6Dl1f6pTSjlyZMnTxLSvoaFEFx//fVx33V2dvKHP/wBgDvvvHPceAbYuHEjoZAzhdI8eaLkygNdU1OTceA72A+BEWiYLfD5XEkHiDORB51smxk0bHJOOu9zlMlG64SAWObtq5pAdSU//5MPP5zBONZNa6K26gwyefIkSmRs/+nup6BuTVk8DGB/tHxVNgJP2TID3ucoMy6Ed5a80Gf6ucxWjC+6zowwyYAWQqAqdpUCt8uF1+PB5/Ph8XiSinC5seCebyNGhjDe8SEoKnW86+ydkXb4r8vjc3Q+hBC4fAWgKBhvfR+UV6Hd9y0Y6EnfrjR50KcDJiO6hZLsYbAsSOK9ny6KomBJmX3/6CB8O06BO5ZIKKWYmBTwwL4+qgs0Lp87NoEdCMDQQPJPzDmZaYN2Jj3cefLkeW2TdghUWFiI3x8/uPvZz36GYRgsW7aMjRs3JqzjdjsslZEnzxjT8fZKKRkdHWV4eNhR+HbbKQtVg9oGZVw8bDJnyoC2w7pzvqukmJYk7MDYi9aEHl8PYEz0yAmqmtyInjy+zWQgZzKwc0kqIzpdGwxLEpxG7jPY5asK3QqNJTPUZ0pm1oCe6bHpDBgfmbAV8s+C11uxRcacMKPe8STq5x6PB4/bjaZpGftG7+HdcOIwvPk2ZMPcrHadLk0kGaoCKCqKquJy4OnVNA3V5bJnSLx+9Fs/bJfQeuz+tOslqZIETNSDPj5kpG63A9GubFHHwoH0bPtIBx7olJ5804BQMOlPW9tGaBuKcNPyCtsgDofACGN3QEk+Y9tRlfT5z7lgpj3cefLkee2S9m3o9Xrp6uoa//vZZ59l+/btgF0TejLhcHg8FzVPHqdMxwNtWdDR4Sz/ORKWdJ+W1M0SuNypy5hkKm8yFVINPJ0qWE8X3ZKO6zVHvdDG2DrZGvnJjOhkDppUIdrREO8zRarj06WVtAZ1tOTVtO5bKdnXFWR5tX/q4mCZyGHt52T8JQqJnWnvcyyK6kzRfkY9/9M455oiUF58CkrLEeddMqV2ZmPvuBTGw4o1zZXW+LYVxceMbG1swqqyFvOSa1H3bUO0HEu5rppiu3OKNDQBR4eM1BMLhj5eFswxGRYXY/tK1jel3KShx4nDpSLtEkYEwvGChBHT4qFDfcwt83BefYF9vOHkhvY4pg565IwYt6qSuhRZnjx58kyHtAlXq1ev5gtf+AKvf/3r6ejo4E9/+hNgh2rHhm5HeeSRR9BnYMY1z18u0y1hZZmSjo5ONE2joqIi7bKnWyRSQn1Tau8zzIyQWKoBlqo6iqybNmY2paMsiV9OlHOaipdcVe2cTkO3S64kG9wGdSupgrWEMxK+HSXVQF8odhsn5+0FDWtqOYgxtA5FGAqbLK/OXLN8ysyg9xlyJCQmUt9f1pkO4RbOS7LNFIqauQT2jNoD0+jzPP1dcGQ/4vVvRigKisj+/lCzWEcVYlykSwiBy+UmEklUnFcUNd577naNG3nWJdcitz2F+n/3Y9z58aQnN9Ut4VIETYUaR8c80KqqYllm4jxlYMRWi1MU2+BXNBRVmWiPhe3htQwwTaRpYSoiqYq3oijjfWlWfZDT/OdM24yE7JfW2PvzyVND9IdM3nN+DUJKCIw6a084iOpPVHCfCTRFnBE9jTx58ry2SGtA33LLLdx111389Kc/Hf9u8eLF3HnnnQnLPv744zz44IO5b2Gev2imG75tWdDd1UVVVVXa8EIpJe3NFqXlgoIikdaAhtwKiU1W4E78LXdq3G6PXdLFsmyHg2lJWwMmG4N0rFZzNvnPyVBUgUZqg8DO45vatnNJKoNECAibFj5rot6obkqC+vQv1r7OAGAL28wIOaj9rB3eg+vgboJvuCVpGRuRXF8pK1Q1tdfXQNoie2coDPNsep+j2KkSGcrBzeTpcOClTIZA4Nr6lD0DcMEmYGyCxYk17HKN5wvb3l5nN5QqiBO20jQNw9DH+lQ7wijW4Bxvq6IiVdVunMeLeeWNaA//DHFwF3Lp2oT9KGMTgMkmehcUazzRHiJiyvH0Ncuy7I+0xieIFSwUCYoJipScHJI82hzk6lkeFhfHPFtjD4RpmujBUaSq2edHjZbVixF4lM6qGQCOQ8mT2ZmdQZOfHRmNMdgH7ess4PSIzppaP4vLvRAYxnFnYFm49BC4CpwtPw1sA3rGd5MnT57XGGmtiMLCQr761a+ydetWenp6mDVrFuvXr497IfX39/ONb3yDvr4+1qxZQ11d3Yw3Os9fDtMN39Z1nf6BPlauXJV22b5uSSgI85eI8YFVOlRVxXA4a5+JTHl9ao7UuDVtIldZVQEVNASmZY0N3JK3wzQSr0NkzDMslOkpEiuqQCjngJWcBjv3Mv4cxOZjBnSLIo9qh27ruRmJ7esK0lDkosyh6nLWTLf2s5T4/ng/ak8HWBbBG96Z1HKzz9vUd5PuMVRVsKyZKwWU0JZzwICGMXX+NB6zGTWgp5h37rEisP15WLEOUVwCOG2nAK/PtrtGhlGEs5spaiSLmFkPIQQ+n8MJKc0N5pgXet1G5JbH0R5/AH3RqqQzKZoCyR79BcUaj7fBqRGDhSX2faooStr3S1/I5Nv7hhjWJa/0hbmgys1Nc/2UuO11FNV+/6iaQiSsYwYDtgfb7UbxxHttDUvizhA1IS0zc1gD9oRmMg/0n9tCnBo2WFIa8xwKQFWprnVx8/IKCI462kcURQiUSBjp8cZdw5nApQrIB0bmyZMnx2QcvblcLi699NKUvxcXF3PXXXfNSN5onr98puPltUxJT083UkoqK2qQlkwpANR2SuL2QGWtcCQ4k0shsUzbUlSm/YIXCilFiEwJ6UTAhCIxdIGMGTwZ0g69TqVAm1XbXgU5aEIBacb/HSViWhiWQthInhOdLWHD4nBviCujirUzwTTDt7UTh1B7OjBmzcWz41nM2kYiG65MWE6IqTugFTW9kSUEqJiYzLwBrUxzoiiXKEp6W2TGRM6sqNBT9nj2bYfgKOKiibrKjiIUPB7E2MyF9HhRQwFH+9Ni8p+nREwYN6qKcc3NuH75TZSXn8U6//LE/QmBnuRA5o15j48NTRjQ6YiYku8cGEG3JJ9cU8yu3giPt4bY06dzw2wfm+o8uFQxdu/bYem6YRAJ61hhA8UX77E1LZlY/2syurOJYD3JdQoakpe6bCP/nYviayhrXhdKUSEEg1mLpdnCbNI2vAtnsB/E9kCfK892njx5/nKY9vBYVVOLMeXJk4nJBrRTj7S0xsK3uzsRQlBZWZUyDDoUkPR2SeoaBZrm7H5NFvo3VTJtJxdq3K40Cr6ZcuWiZXQSBuZSnjNeuZlm8vmfHLY+EjEJTVN1O8qR3hCGJVk+U+WrclD72f3S01g+PyO3/zP6kjX4/ngf2rEDCctN57518tpQhXVGVLGVGQoEmAppUyZm0hCQKaz2DH2ypgjEi09BdR3Mn6ipLESG6HtFgRiPqvB6UVwubKs7PZoQ07poQlFtr+4YcslarNkLUZ/8na0iPYlUTt5Cl0KdX+XokJHxPEkp+dmRUVpHTe5cXEhTocb1s/18al0Jc4pUfnU8wJd3D3FiaMLgFQLcLg2/34PHqyImlZMynOT2Gs4m05IJN27tDhO2YGNdvOdbKKBIHUZHQM++dOm4gJihI2dYqwFmvlxWnjx5XnucoSI6efIkJ9Zg1nWd++67j0OHDmVczxaIlrS3t1FaWobL5UoplNXebBsT9U0KLld6tdYo2ZZUSYcjg30a4kWaK32ZKSeDLCEELvek7eTwHJzrTDZaJhuGufA8R9nbFUBTYFHFDInoZFLBzYAYHsB1YCeRtZeA28PoX78Lq7IW/6++g9LXFb/sFG8PoThc1zSSpV/nFJFFmbYzQbr2zGz4duKki2vvdor/62MonW0pV/N2NEPzccSGyxPzjdO115ukfrPP76i0kTYp/3lKuGLKxwmBec1bESODKFv+L3F/adq0UA1wvGeE4p/9Z1oj+rHWENt7Itw4x8fK8ol91/hUPry8iHctLmAwYvGF7UP87OAoozFaC4qi4HG7UTHiDHwjVd3mMaSUYGQOrZZSJky0SinZfDpMU6HKnKL4h3D8mZyizoIW278GR6eVyuWEfDmrPHny5Jq8AZ3nrGGLgE0MErq6uggGg+zYsYNIJP2stGlK2tpa6O3rYcGCRWPbIyF30LIk7S2SimqBv8BZvdAouYqscGKETjVUWlHs3OdUSClT1/ZMguaeUCI+UzWqzwWEEBOj/RmeONjXFWRhhQ+PNgMnOBK2k9qngXvHcwjLJHLB5fYXHi+jt34IEBT8/O64erDjYbpZ4vzekghpzag69rkYZZGqTTP6TCbxQLu3PY0y1E/BL+5GBEYS2yME2ktP28boeYmpXinbq2kIV2L9c6GoKN70yvRCCFRFifMgT4lJ7wLZtABr2Xmoz/0RRgYTFp9s2IvgKIV//DmrX/otAdVDZ98wrpajSXe1qzfCQ6eCXFDl5pqGxIkzIQTnVXv4woZSrm708ExbmE++MMjzp8NxxqWd7hOOy1VPG2Fk6DgJy48kWeTYkEF7wGRTbXx7FaeTXylQxaTSUpY17Um/TOQ90Hny5Mk1r6Ehcp5zjcmzztEa4qFQiD179qRez5KYhsXOXTsoLi5mwfxF479N9kJ3d0j0CDTMdpb7HEuu8qCdbMcW68p+2+lCtwEMK3uhNs0lxmrSZt+ec44sPMfKhP08Y/QHDdqGIqyYifJVlkwafprdNiw82zejz1+KVTFRV90qryLw9vej9HZQ8OD340LEsz5faUpXJcU0p20rpeNcvM9ThnHPqAc6/lkRo8NoJw6hL16FMtSP/77/TZic8egBePkFWHMhIomAV/J7Q4A3dfqC5vFM1GpOgkcF1Omn2Ah79jHuO+N1N4FhoD71UGK7oruTEu+eLVR85y58Lz/D3DkNAOyvWIRvx9MJ67WNGvz48AizC1X+ZkFBynYrCvhdglsWFfCZC4qp9qv8cP8oX3l5mNYR+7wLMXa/hgLjdnFmAzozybbxTEcYnyo4ryr+Wkx73iLZvR0KIWew7rumzOyjkydPntce51DmV57XGpPznzs7O6moqKCkpIR9+/axdOlSCgoSy1xYFhw7foShoUE2XnZFnIFqWbbXORoC2X7KwuuDyprsvM+QGwM6m1xqRRFZ1Wt2uUTG/NCp1itOJUj2qsKSdn6ex5mxKhTAmlkv3/5u29MyI+WrwsEplyGKoh3agzLYR/C6tyX8ZsxbQvANt+D//S/w/vk3hF53k107Oct6v1l7sEwD4XajamBmE07hpC3quZmmIISwhe0mPb8zW8Iq/iq6DuxESEnoqhtRlq+n4Dc/xvfH+wm+6R3jy7h3vQh6JE48LBZFIVFIzONJq7ysKNi50aaR9H52CTF9Ky6K5omvkVxZi3X+JpRtT2MsXYOI6Y9dUiLDOv6tf8LdcgR91nyGr/0IvppGSrYN8MLsDVQd+AND7YPIMS+6lHD/8QBeVfC+pUVpFbNj+52mIo1PrC/iudMRHjgS4LMvDXFNo5cb5/lwqQIrMua19frsFJ0krzY7fDtzNIqUMiH/eVi32NkT4bJaD56YNmcS/nNC8nBqaV9vJfXEyXQQQuS90Hny5MkpeQM6z1kj1oC2LIvu7m4WLVrE8uXLOXnyJC+//DKXXXZZwnqhUIQ9e3ZRVVXNrFlNids17cHI6LBkoA/mLVHweDxZt09V1ZT1P52SzeBcUZ1XkbEjGDNve6oG9F8ERiRpXmcqol6/qda9dsLL7aMUe1RmleR4oGia0y9dBXi2PY1VVIq+ZE3S3yMXXI7a2Yr32cdQO1oJvvEWrLKarCzorDMjxiSpVU1gmdMrfTfttpxBFCXx9p0xA1qPJHiXXft2YJZXYdY2YtY1Eepsw/v845g1DUTO34RLYIuHzZqDaJybctOKiAkEmSQclgw1qj7m9dkqzXHbEnYoda4M6CQGrXn5DSh7thL56dfj7FIX4AcsXwFDb/xbQmsuAaEggCUlLrZGKtm74m/huAlMhLtrAv5pVTFlnjQdS5KoDEUINtZ7WFvp4tfHgjzWHEJV4Kb5fntyRY+A5sLQtLh60FJKiEQgEnIkJphMfXtLZxhDJoqH5eJ5SZm5Yhjxeek5Jm9A58mTJ5fkDeg8Z43YgXBvby+GYVBTU0NRURFLly5l//79LF++nPLy8vHlLEty4MA+QqEgGy+7IqmBapoSVYO2ZguhQEOTijZFJSJFUTCnWBs1ur7zZZ1v16mH+DVtQOt6drVJFdtVNlNGSl/QYNfpUa5dWBqfA5gLQtPPIVT6utGO7iN8+ZtSj5SFIPimWzGr6vA98TuK7v4MocvewPCF14GWOcLDsXhYLKZhezAFqC7HosIO2pI5guNsoqiTbNqZys03TQjGl48SgRG04wcIX3LN+AULXfPXqF3t+H7/S8yqOryqgM52xM23p918NLIDAE8S4bBJqMqYHoGmQWFJ3G9uTQFX7iokJO10C4vRP/wliowQI8PDcT+NGBKjrBo5KQT9HQsKuKLeS9GjP0MZGWLw5g+Mz8SVeZTxGs+pSGeYFrkV/m5pAUMRi2fbwtww14eqCgwL+7n3FxIxJB5V2hoIkUhWkSj6pHeEJSXPng6zqESjzj/RsKl6nxUhsC+b/W/Ka+fAWz4dnIjT5cmTJ49T8jnQec4asR7oaP5zTY2dd7lmzRpcLhfbt2+PWycwGmT/gb00Ns6mqqo65bb1iKSjVVJdKygsyt77HGW6YdzZrB8N28y8XPq6zlFMS2LNsLrpOYslJ0JAs8itm8mQ3s0nhwDYlOv6z5HIlNVwY3FvewaEIHzexvQLKgqRi65m6B/+A33pOnxPPUz5dz+N+9jejPuYsgfLMsZ2nUQtfoqcy95niPYHIubvGdiJZUFwhMlCU66DuxCWhb78vIkvFYXAze/BKquk4L7voD75CPj8sObCtLsYPwRNQ7ideRjHu0ER/3FrOTSeGStnlSw7tqAIdfZC5Kx58Z+GuQnGM4BHFcwp0qhfsYLFp/eyqOsQc4o05hRpGY1ncDZ5esUsD0O6ZEdXxE6DULD7t3CI0GgAhodsDYQs0zj0SXOM+/t1esIWG2vj35vZPC+KEBS6FEo99qfQpeBRhR1dkArTmHE17jx58uTJFXkPdJ6zRuzLsrOzk6KiIvx+e3Di8XhYvXo127Zto729nfr6egB27dqJaZqsWb0+7bY72iSmAbPmTN37DHYYt65P3TjJ1gBXFZHRa6w6VCR+TXufzRj1WYe5dbopefLkABvnlOBLqnQzdQxL8szJIZbX+KguyC4XPy2WzI2CraHjfvk59MWrkcVljlaRxaUE3voeIusvxfvILyi9938IL1yNUVGbuLCqETz/CpSK0qm1zzTHw3aFItDcdn6paSQq7ztBKGJGlb1zRWwYd84NaInteU4yweTatwOrtAKzfnb8Kj4/o7d+iKLvfQGO7odLX4dwp5+gVJSx//gS9SxSoQlBZJIxpUXDt3ONojiOVNEy9M/hJeswC4rx7XiayIKVjrbpKCrDslh7+DmqXKt4qi3MhbWeiXvDiCABw6VkHaZse5/jj2dzR5hil2BNxUSfqWrZ3X8elbT53skZy9nOUqskT548ec4GeQ90nrNCbAkrKSWdnZ3j3ucoURGxbdu2IaWkv3+AI0cPs3DhYoqLU3vxLEvSelJSWAxVtVP3PsOZ9UCDM0Vgp+l/k0PzXlPETno4qIMK8OdjA/xqbx8vtAxnXjhLdp0eZTBkcsXckswLZ8MUPE7JcO3bgRIYmShdlQXG/GUMvv+zjFx+I67Wo/h3PJX42fIopff9PzvEdCokuYZCCDSXwOURjvQAYplJVe9cEtsf5NyADgaSRi6IYADt2H4iy9cn32l1HcrffADqGhGXXJ1xN0IIKCi0Va8dkmxR10yUfYMYF3lmMtqEqkZozaW4j+5BGex1tnsHh+V98iEKH/0l1x56jMMDBu29I7ZHOKY9kSn095PfEX0hk1f6dC6p9aApdiUGlzv7aA1tqjdrDiJp8uTJk+dM8CoZRuT5SyM2fHtoaIhQKJRgQGuaxvr169m8eTPHjx/nxIkTqKrGyhWr0267s812yi1dpWWtvD2ZqIr2VELLxBRyFqN5uKl/dy5M9pr1QEviy7dYmXPrRsImvz88ANh1mq+cl1tD96kTQ5T7NFbX5lB92zRtlfEc4Hnpaczyaox5S6e0vnC5CFz6JgKXvinp7+6jeyj51Tfx/+ZHBN72vuytwTTXUAgx7iEzkikiTV5eyU0I+JnA7kPsScacituFQ2Akn8zQDu1GmCb68uRRPl5VIBavQCxe4WxfBYWolppNJkVSjYDk6s05QFEBZ/m3TuZpgms34X/+j/he3szoFW/OvPsM19X1ykt4n/kD4bUXc6nHw72WwfP/t413LC/BXH4hpmk3KmKCT5VZvXP0Sdfk2U77nthY78HlnvqkzZTnOnQD0mvM5cmTJ885Qd4DneesMDl8G0gwoAHmz59PeXk5L774Is3NzSxftgKvN3VZIsOQtJyQlJRDbcP0vM9RpuqFnvJ6aWb7nYZvW1JivlYN6NjwbbANzQyn4veH+gnpFosrvRzsDuZ08qFjOMKB7iCb5hRPTzzMsmy15GAQRoZgdCgn7VM6WtGajxK5YNOUa3hlOixj8SpC19yEe98OPE//PvsdWGbGmt6K6swwPme9z5aEkUH7+sZYm9H+IGceaMNIG/bv3rcDq7gMsyFRWVsg7DrMTvH6/z979x0mR3UlfPh3K3ScGY1GOSeUkARCJJElMkaAydEG42yDsb27Nt61F9ufdx3W9q4BZwO2MRiMSSYnAyKDyBKgnLNGYULHqrrfHzXdmp7unume6UnSeZ9HD0x1dXV1V4c6dc89B2UHyr5g0TZVu9vSt6GssvulXBT1ageRmjyL0Dsv5FU2b6ujwlzmxjVE7v8jzrjJxM/+JPaZF3J4rea5wQdh3P9nav70U8wdm1rW1gUrahfjeDrnd9jxNC9tSXLQYJthVWan329mV4rdyTxoIUQ/IQG06BWtK1tv3bqVYDDIgAH5o35KKQ4//HCSySThcIRp02a0u92NazROGiZO6drc59Z6PIBu50SxlBRv2I9HnwFSbdMAdbsjmNub0zyzag/HjavmpPFVxB2P1bsqM7IL8NyaBkwFx4+v7twGkgk/sGra47f1SSfKqi7ekdDLT6Iti9Qhx3R6GypT6KnIbaYJyWNOI3XwXML/fBD7g7fKf5ASnrNp025EYvTl0edES+CcbjneMX9+cuZrpCLFs1w3rzVUjmQCa8Vif/S5wPdXyCojOLKDqJaLneWOnre9Ttht6dtQ9kWjUnYlfug8zOYGgkvfzr9Re4TeeZEBd/4vgTUfFt2GatxD9M5foiNVNF/yRb8qOXDC5DriZpB/nvIFzC3rqfvd9wi9+RwAqTLqAbRO33Y9zaPr4zSkNfO7eOG5a4dKd3jRQQgh+oK+ei1e7OPaBtDDhg0remI2atQo5sw5lIEDB7cbFCcTms3rYfBwGFBnVqxaazAYJFCkemwsFit6xbyzj2+auRnIe5eXfvK6XwfQhebROU7Rocf7PtiJaSjOmV5HINmMwk/jnjyoeKZDqVKux0trGzlkZJQBoU583Wr8ecMVmOdcSODNFwm8/TKJY09DR6q6tK2cfr8Zyu9u5b9tFbFzrsSo30rk3ltorBuCN3xM6Q/gOtkgohilFJalC35+oA+PPqdT+SnVThKakigrgKECUCg4UgUaCBfjuhBrave9ZC99D+U4/vznAkoefTYtiOwtGlbutUSlFIZS2S4C5RekKkO5hR6VIt1BSktq4kzcAYMJv/kcyQMP33vfreupfuwOAhtWoO0AwT8tIXXQkcRPvxBdXbt3A06a6F9/hYo30/TZ69FVe2t+TB5gMSpq8pQxjmO+8v+I3n8b1Y/fgR44mOSkmTk9odvdx5a3wYqGNH9dEWNjzOXQITYzB3Vt2lOX+y07Tkkt8YQQojfJCLToca7rZudAx+NxGhoaCqZvtzZjxiyGDxvR7jrrV2m0hrETFaZZ2bd2JnWv7b9igTV0fgQ6M++xrXIKuTidqEy8T3CcwgGCWzhoWL0rwWsbmjj1gFoGBg2ihsfEGpMlW9sZpSvDGxuaaE57nS8e5qa7LXg21y4n/NDtpCdNJ3HyeV3eXqFRRqtt9V7bpvnSL6ODIaruuBnVXEbBthL7sRtm4QrbhtlH+z57Xvt9vJ0UZqrJT9lv+69pj18MrKOPu+t0GDxDS/Xt6gG4Yybl3RYyVWlTEJThFw1rtW6x77T2ZB7LMozK903PeaByA+jSthmfczyBtUsxd2xCJRNUPXU3dX/4f1g7t9Bw1qfY+W//S2LeWdhL3qTmF98h8Ooz/ntBa8L/uB1r/Upi538ad8TYnE0rpZg/Osi6RpeVXpTmi7+AN3QU1ff9jlDDFrTpF7Ju7/fC9TQNKZc/L2vip+81Enc118yq4kuzqrr8Wnc5WaDY1S8hhOhDJIAWPc5x9qZotTf/ubWOYojmJs22zTBiDITCCqs7U/5asW27aKDclQrebQMApfKXFaO1xtkX42fH6TiIKtZyzMtfrrXmnsX1VAcMzphc648CAjMG2azalaI50fUTuWdXNzCiymba4E5WxslLR68MtWcn0b/+Cm/AIGIXfb4iTZHbnnebVuHYRNfU0nzZl1FNe4je9Wv/uJaihGJwrR+77Q712dHneKzDL7h2Y5p0EmKNxfuduw40dxw8k0piL3+f9IFzCh64YKmVzkPhlv7KucqNyzJf4d06+gx+dfAycsxLfRnis49FGybVj99J3W++TeS1p0jMPpb6L/yAxMHHYISCJE46h8Zrv4czegKRR/5K1W9+QOixuwm+/TKJ+WcVLeR21PAgQROe25iAYIjmy68BwyB6x8048WbMTBBd4D3vac1TGxPc8OYeXt2e4rTRIb5/+ADmDA10OWvLUB30ei5Fqd8HQgjRiySAFj2ubfq2aZoMGjSo6Pra80eW27N2hca0YNR4/8fbrEBAUKpgMH/OmFKqawF0m7uWWjwMwPHo8UIs72xu5iuPrGZPoptOfjzPn7sZb2q/mJSbKn7/NgHG+1tjfLQjwdnT6/y+zy0nbjPqbDTw4cZdHRauas/a3UlW7Uoyb0JN505MNeAUeT5dkUoSvfNmlJOm+fJrupy6ndH6KRpmByNgoycSO+dKrDXLCD37j9IewPNKPh5+i6vW+9OFwkbdKZWsTOse1/ELy6VT+cubm+h4iBrsZe+j0qmCQVvALDUwUlCkL3S5c88NpUAp7J7o113GvpXaXUFHa0hOP5TAmo/wItXsvOpbNJ75Sf/zpvZ+XrxBw2i+8ms0X/wFjKYGQq88TerAOSTmnVV022FLcdTwIK9vTdGU9vAGDqb50i9h7NxO6O7f4rS0fbPatLoCuGN5M39c1sSoiMm3DxnAueMjhAOVeY0rc6g0WoJoIUQfJwG06FGt07fBD6CHDBnSbsDbUSy4e6dmdz2MHq+wbYUyut6/uRymaea1y+p6/+i2j1H6fXtj/vMLaxtoSnm8uakyqc85NHvTTzOBdKGn6DrFR+EgpwiV1zL6PCxqc8L4Gj8wawlkJtRYhE3Fkh2p9gsudeDZ1XsImIpjxnayeFjbauKVoDWR+/+IuXk9zRd+Dm/oyIptOlNITBmlvV/Ts48iddCRBF9+CrVnZ2kPUsYotGHs7Q/dJ0efO0rdLptuucjUktLtlB48Q0v6drQaZ9yUvNvCpUZGgWDR4LLcQmKGUtiqxLTxruqGQmIAjadczJ7zv8CuT38bZ/TetPi8GUZKkZ55GA3X/YDm8z9N7PxPd7hP80YFSXvw0mZ/7rw7fgrxBZdhL1+M++jfM5vFbvXeb0q7PL0pzpFDA3x9VjUjI2aHlcDL0eX5zxmSxi2E6OMkgBY9qnX6djqdpr6+nqFDh7Z7n/ZiIq01a1doAiEYMdpfZpqVKyBWqkAgN/2tqwG0P4Kd2RZlzd3s6QA6nvZ4f6sfCCza2NQND9CcW4HZTUMilr9esfTtjFbvvZfWNrKxMc35M+r8k75WJ2yWoZhWZ7F4ZxrttLSNKlMs7fLq+iaOGF1FJNDJbIhuSN8OLnyUwOI3SJx8Hs7Ugyq+fdMoMO+5HfFTzgOtCT3zQGl3KLNCr2GCWU7l6J4Uj1HxCyTgp3Q3N/gXnUrdfjqFvey9gunbtlFGC6lg8akK5WTRgP9e6pHRZyi9vUGLUtOUddUAktMPy9t+0YsJwRDp2UcVHcVvvYGxAyNMqg3w3KZ0NjEjdfgJJI+Yj/3C43iLXvL31fQPacrTPLMxSdKFBWPC2d+oSiZrVWzmlFTiFkL0cX3xurzYh7UOoHfs2IHWusP5z147AeGOrdDcCJMP3Fs4qNIFxEqRKSiWTPqjAZUYATdMhefpsk88ezqAfm9rM46nmTY4xNIdCRqSDjXBCn21JOLZNGbVsAsM069Im076Z36tTzTbjFqkXM1Hu9Jkr78YHgT9v+7/cCeTBgY5dGRLpeA2qa8z62ze3p5mW9xjmEr4Z/MdndS28sq6JlKuZv6Emo5XLqQb0retD98m/PT9pA46kuRxp1d02xnljvTq2kEk555E8OUnSR59SsdVuYsUgytGKdU3R5+TicqkbhdTZpsze/kSVCqJedBhRO3c766SgyLTRnUQjZmmwi2xwKGhFJ299lS2MofHuxTXl1E4PYfR8n1n2dkNzJ/k8Yc3t/Fhg2bGAH+n4h+7GGP7Jqx7/4hGo8NRHAfSKc0LO4cxzoLJWz7A8TRprXM+HzpajTt6YqefWqnzwzskKdxCiD6uL55aiH2U4zg5c3MzBcTaG4HWuvj852RCs3qZJlrtt67KsKyem//cmm3bpNNpPM+rTACdGYEu4+m4ns62fukpizY2MyBkcvGswXzv2Q28tSnGvM4Gjq2lU5Dy+zEbO7dT9dv/AjtA4xf+A101wB+FNkx/yNN1c4IGx9P837uNfLSr8ImYoeALh7e0TvPye4/OqPNT8hfXpxkWMf1AvtWJa3t2xh0eWrqLCQODTBjYyeJhTopKjk6qeDOR+/+IM3IcsY9fWbmczQpInvAxAm+9QPjJe2n+5FfbX3lfGJlyXT+A7itSScLPPQTRauzJ01CdjQ4L1IJoyzBLLqYOVKj3dSnKTD3uSgDd6Z+GQAjadH04fFSUu943eHxNjBkHt1wMNC1iF3+B6t/9N/ruWwAIAatrxrFhzpf54tK/E3j6dYr1j0hPm03szEvRtcXrkhRiGRXM9NAe2nU7vCBT1iaTCVQ7GRJCCFEOCaBFj3HbnDlt3bqVgQMHFizClVEsFnRdzUfvarQHk2fk/nBbvTACnREIBEgkEmUH0EnHKxguOUqDC6UGUz09+px0PN7fGuPYcdWMHRBgaNTmzU1NpQXQmf7GZku52NbnXq7bkuIKJBNE77gZPA8VayL611/T9Kl/9QPneDNEq/NGa+9eHuOjXQ6XTo5wQG2rr7lwFAyDmqDJoEjLvPUCc42HRkyGhA2W7Exz0piQf3sintPbtuBTcj1uenULSdfj6jntT01oV0fp6GUKLnwMlYgR//iVYBdvvdYbdDhK8oQzCT9+D9bKD3AmHdjOyp4fRHd1WNl1/X/ttKHrFpqWefV9pEy+1kTvvw1jy3rUp65DdfZ1VUZJ7yvTVDiq46KQPa7MFG6jpZBYZ4o1di6AVgV7I9umwYKpA7nr/XoW1weyPZx1tJqGL92AtWMruuW99vDGEOFmzZELTiNtnu5fQzM18VYtG6yVHxJ67iFqbvwOiXkLSB59aoe917P3rfS1DiddsfxynYi1PxdMCCHKJAG06BFa65z0bc/z2Lp1KwcccED79yvwm6e1ZsUHmuYmmH6wIhJt266md0agASzLwrKssgJorTVNqeLDMsluKMRcKe9vjZFyNYeN9Pu+HjYqyuPLd9OUdKkKtnMcnNbzmFtG40yr5Z8JyTigwfOI/v0PGDs20/zJr6JizUT/9lvCD/+F+DlXAl7LXM+9ntuY4JkNSU4bG+KUsW1GHEJmfip2uvCo5ow6m1e2JHE83TJPOgVOsOgJpdaaW9/azrrdSa6dO5xRNZ0Mzjxd0SI6anc9wVefJn3w3Lyesn1F8ogTCb76T0JP/J2mL3y7/SgjkYBoJyuHO87e9OlM0FeJE39NadtJxsFzCZmKRB/o1R58/hHsxYtQZ16Emn5w5zfUTvGwtgyj9DTuHtOJqNZU5LYLVEbHrcI6m75t2UVHyedPGMDTK/dwz8o4B9ZZe4uuBUM4o8YB0JDyeGPpbk4YFSI0dii6ZZOmCbGkl81ackeNJ3XQEYQfvYvwU/cRePtl4mddgTNxWse7WOke644Dpc+aKUo7jn/xs4wpOEII0REJoEWPcF0352r9rl27cBynU/OfN6yB+m0w7gDFwMFtg2ej1wsGBYOln0xC71TNrpRFG5upDhhMaelzfNjIKh5dtpu3Nzdz3Pgio9CuC7EC1a1dJy9FN/TPf2B/9A6xj12SHZlMbN1I6PmHcYePITX3pJzU7aW70tyxNMbMQTaXBDdjv76e1OEn7E1Zbps/2s5c4xl1Ns9tTLJqj8OUgS2jP4kYVBV+Xo8u283rG5o4/8A6Zo9of6S6XU5lq2+HWwp0xU/6eMW2WXG2Tfzkc4n+/Q/Y779O+uC5xdd105BKlTR6rPbswn73FVJHzM9/f2nPP/ZdHZFPp/yMgXC0/SDadSCVwFCKiG0QMDVN6RKmXKRTBF9+GhUvUKBPKVKHz8OrG1L2btsfvOW/N+YcBSd0cU58CenbGWaZadw9QSmFLiUAbsUy/JaBQEsWjeFn1bSj0+nbdv7oc/YmU3H+jDp++8Y2Xt2S4ugR+cfipc1JHA2njQv607313sHdsKVoTu99D+raQcQu+zKppe8RfuROqm77KamD5xI7+xPtBqGZufJaa3jlWXT9trKeojpgeu5FnArUCNBa511gFUKISpAAWvQIp01RkMz8544D6Ny/67dp1q/SDBkOIwsMpvVm+nZGuQF8up8G0CnX490tzRw1pjo76jGuNsDgiMWiTUUCaE/7vZxL6Uv7/uuEnn+Y5KHH+oFyi8SJZ2Nu3UD4sbvxhozIBtY74i6/fL+JIUH46poHGXDvcwCoRIzk8R/z79x2Dm07raKmD7QwFCzemd4bQHst81fbzKV7e3Mz932wkyNGV/GxKbUdPrd2te3l2wXm5nXY775K8pjTyp7T2NPSs47AeelJwk/fT/rAQ9sNGkjG2x2VA/x+17/7b6wNqzDXLid+9ify536nKhBAp1L++yimoaXHb55s6vbeQMMyFAMC0Oz4Be8K0prIA38i8N5r6ELBSzqFsWcXsYs+V9YuG1s2ELn3FvSYCRgXfKprFx0tG1VGCrTfk7svpnEbZRWp87/zWp6Eafrvo1T7tQuydS2UImIpmtKlPJ4Cq/336OGjqnhi+R7uWxnn8KGBnOrlntY8tzHJlFqLCdU2psr9XQ2aioSjcNscEGfqQTROnEbo+UcJLnyEiOcRu/CzBesnGK3bjf3zYfTj97Vkd5T4vnId9Bsvwnd+jsp8Hr0KzIOOx8ouqCeEEKWQAFp0O611wfnP0WiUqqriqZhtR5+bmzTLP9BU1cCkaYULlvRm+nZnOf10atbirXGSrubQUXtHW5VSHDYyylMr99Cccom2LqObCSJKmItmblrrF70aewDxBZf7J2LK8CfFGwbNF3yG6t/9N5G7f0PT5/+D2ICh3PhuI17a4VuLfs3APRtJHHsaxu6dhJ6+H3foSJxps/2TKU/vDbzamWscsQ0m1lgs2ZnmvEmtbkgmwA5mt7FuV5zfLdrK2NognzpkSNeCkVb9qCsh9OS96FBk7wWEvswwSJx2IVV//BnB1/9J8pjTiq+rPf84hMNFbtdE7vwl5sbVpA88lOCihX7GwpHzc9dz0/77sbNDg56393i5aX+0q1AQ3WoOZqBV0K+UospWJA1Nc4FgKvjC4wTee434yeeSPOHMvNvDj95F4PVnUU17/MJ6JVDNjX5NgWAI48prUe1dqChFJwozGabCdfpYBG0YLfUmSpMz59cO+N8Hlt1u9fzMV0O17bcGC3klpPJbHU8zMJTiwpmD+J8XN/H0hgRnjNv7uViyM832uMd5E8NYhr8Pbd/uYUvRlC6wH3aAxMkfRwcChJ+6D3fYaJIn5H+XZEefF7/lB8+HzEVd+rmSvwv1yo/Qv/kxvPM6HH7s3hscp9PzoHU6nS1CKYQQldb7w3Vin9c2fVtrzdatWzscfW59QTyd8ouGWRZMO2hvy6q2zEo2tewh/TWFe9GmJqoCBlMH5wYxh46qwtXwzpY2vZoTsZKCQ9W0h+gdN6MjVTRf+sW9xXPCUQhH/P8Phmi+/FpAEb7jZm5dtIWNTQ7/8u5tjKgJ0vil/yRx2oXEzvsU7oixRO/5PcbWjf59W49IdDDXeEadzZoGt81IkW6Zow1NSZf/emo5QdPg2rnDCXa1EWoFW1dZK5Zgr1hCct6Z6Mzr1sc5k6aTnjyT4HOPoDpKvUwnil6MCT51H4G3XyKx4HKaP3s96WmzCT/6V6xVHxbYThde82SblN1MEN36I+2k/bZrLewCb5GgqagJGHtH8QBr6buEnr6P1MzDi14ASR5+Asp1Cbz5Umn76zpE7v4NRtNu1JXXogYMLO1+xRjG3hHDMvTJr+kyL6JkColhmHsvyLXzWhgtwWuVbWT7aoct1XFP6UBpFzimDwlz0NAQD69J5HxfPbshSbWtOGJ48alFAVO1O4c5edwZpGYdQeiZ+7E+fCfvdttQ6M3r0Xf9HsZMQF1YZlbDxKkwdCT6lWdzl3fyYqLWmUwnIYToHhJAi27XNn17165dxGKxkuc/a61ZtliTSsHUgxSBYPEf5r6Qwl0Ox9OdquTa29Ku5p3NzRwyIpp34jVxYJC6sMWbG1udwKSSOUFEMca2TURvvxEVb6b5smv2jqoFw37xLjvgt3MBvLohxC75IvdFZ7KoOcgn1z/NlPnH0vTpb+ANG+Xfzw7QfNmX0YEQ0Ttu9oOyzEmZ4+TMebSWvUf0z/+HuWlddtmMQRYa+HBnm9TvdJKte+L84pXN1DenuObI4dSFK5DQ02ZE3Ny8juif/w9r2XvlbcfzCD/xd9zawSSPmN/x+n1I/NTzUck44X/cjooXmCufs3Isb5H1/huEH7mT1KHHkTzp437GwmVfwhs0nMhdv8HYuT33Dp0NoFvmzweff4Tgi0/sXd46iPZ0zj621+rHMhQ1AT+gMrZtInrP73FHjCF27lVFU2G9ISNIT5hGcNHzJWV2hJ68F3v1UtzzP4UxblKH63eok4WZDEP1pU5qPlV+VG8qcosKWmbRit7KgLBlEDBzMxCidnsvhPLnV5fogpmDSTiah9f4I6/1CZd3d6Q5bmSQcAe9t9q9XSli517lX4z8e6uLkS2sWCP6jzdBMORfmCnzoopSCnXUPFi/Cr1hzd4bOltMscRMJyGE6Kz+FW2Ifqdt+nYqleK5554jGAwybty49u/b8vu3czvs2QUTJiuqa4r/yCtlYPTDALo/WrItRsLRHDYqPwVfKcWhI6Ms3hYjnvb8QDWRH+jkSCUJPXUf1b/6HsbO7TRf+DnczCR3O5ibJhoKZ+cEvlY1kbvHn8Jx3mZOuHgB6UOOzgs29IA6mi/7EkbDLiJ3/6ZlniLZYFXtridy5y+puv1G7OWLid5xE6ppDwATqi3ClmLJzr0ncmlX88CqGN95bhMbG1N8bd5EDhhUgf6irdOBaRmJ/8tN2MsXU3X7jUTu/CVqd31Jm7Lfew1zy3oSp5xbsP1NX+YNH0PixHOwP3iL6l98G/udV9rpZ5fOCYCNzeuI3v5/OGMmEbvki61yZgfSfMU1gCZ6x025fZg9t8P+0qZSRGwzN/hNp1CNuwg9+w9CT92LsX1L7n7Fmvz3fauLNIEOKhUbSlHtNFN1x81oO0DzZdd0GKSmjpiHsbsea/ni9re9bRPBV58hfcQ8Aocd3e66pVHZi1mdYXalmXJ36EQVacsgf35ykeAxZCvCrfO+WwJty1CEi2WulJC+3droAUGOGRXmn+sTbI+7PL/Rv2g5b1QQu4PnZ5uq/XUKXYwElOui7vg1NOxCXXlN57MaDj0G7EDuKLTnocucw6zTqQ6LuQkhRFf1r2hD9Dut07c9z+P5559nz549nHjiiUQixdNKtfaLzHieZu0KTTgKw0a2/1hmV9Nne4HT19q5lOjNTc1EbIPpQwrPQT1sVBTHg3c3N2WLJxVjffgONTf9J6GFj5I+6Egar/sBzvTZ/o2mDaEC75NwlHXNmt8vaWJSjckVJx7ozz0twh0zidg5n8Be9RHhh+/wF6ZiBF94jJobv4O9YgnxU86j8XP/joo3E/3rr8BJYxqKAwf686C11rxfn+I7r+3hH6sTzBkS4L9PGM4xE+pKeck61nok1EkT/euvUPFmGj//78RPOQ97xRJqbvwOwRceaz/gS6cJP30/zshxpGceXpl962HJeQto+uJ38OqGEL33Fqpu/Z+8Ua+9K8dBt8zt/f2P0MEQzZ/5Zm7gaRh4Q0YSu/iLGDu2EP37H3JHqFKFR7pMQ1EVMBkQMgnbRm6gk04SePNFlOuCaRF6+r7cO7vpvJR8u4NBTu268JffYOzZSfLyL6MHtP/eMpQiPX02XtUAgq8/1+664af8wk7WaR9vfydKZQdQnS4rXXbr5e7XiYuvhmHm38+yaRv1WqY/1z1nnaqabNp42CqSQl1i+nZrH59eh6HgnhVxXtiUZNYgm8Fhk1J+HqtslTNC3lbOxci7fuNPCXjsblj5EeqCT6HGdj6rQYUjcMiR8Par6NaZJfF4ydvQnle4w4MQQlSYFBET3SrdKiX1rbfeYv369Rx11FGMGDGi3ftlBpy2bvJbOE47WKE6uILe39K3oX+OQDue5u0i6dsZk+pCDAiZLFq/h7m1hQNbY9cOwo/ehf3RO7hDR9L46W/gjp/SagWjaGughpTLTe82ErUNvnxQdU7V2WLShxzjt8B66Ul0KIy95C3M7ZtIT5tN7MxL0bWDsAxF7Lyrid79G8IP/YX4x69iRp3Nm9vT/PydRpbsdBgWMfiXQ6qZUWcDKXRTIzQXmG9nGH5fa8vaO79Sa39EMhM9eBo8x+9FnQm2tCb80F+w1q2k+eIv4I6eiDt6IulZLf1Zn7yXwNuvEF9wGc6o8XkPG3z1nxh7dhI77+ou9M3pfe6IsTR95noCb71I6Ml7qf7V90kefQrJY09DtxlVV+k0kTtuxtizk6Zrv1+44rhl40yaTvyMi4k88ldC/3yQxMnn+rc5KdDh7HvNNhQh2yDQ5jslHPBHobXj+O2l3nie9IRpOBOnEX7mAZLrVuCOLdzb3lAdz3fVD98FKz5AXXQ1kUmT0Y4uWKHbMhQh0w92mgyb1KHHEVz4CMauHXgDB+etb65Z5n/OTjsPu6a0YmMdKqN1VSF+GnffqcatDLPs5nFmsMBos6H8CvLZC2KKmlCr1H1lQCSKMgx0uAqaGwCIWoo9qVZ7oIyy0rcz6qpDnDI2zCNr/MBz3uggpio+daC1TFG7JryileEzFyOj991G1R9+jLVhNZxwBurQrmc1qKNORL/+Arz5Mhx7sr8wnUSnbFQp0wXizWW1IhNCiM6SAFp0G9d1s+nbK1eu5L333mPq1KlMmzatw/t6HriO37KqphYGltCBx7L619vZ9XRe65D+4MPtcWJpj0NHFu91bCjFYUODLNzgp3qHrNyTN3PTOqpu+TEA8dMuJHnUSX6wmaUgXFUwrdLxNL96bQsNSZfrjxlGbaD0OayJUy/A3LaJ0HMP49YOpunya/zq3C2CpqJ55mEkti7w1xk+hhmz/TnEy3Y7nDsxzOnjQq1SHTXaSRcuduOyd963MvzWWw/+GWPXduIfu5T0rCMKnuwFXn2G4FsvkZh3FumZh2WXewMH03z5NVgfvUP4kbuouu2nRZ9nesosnIkdf84qLWSWUFW4HIZB6rDjSU8/hNBT9xJ68XFCLz5edPXmy6/NvQjTmh2AZJzUkSdibtlA6PlHcMZPwTlgRk5P6KBlUBUoPDxqKEXIUsRjSazl72Ps2Un89ItIT5lF8PVnCT9xD02fub7gnOVAO9cydFMD+uG/wZsvwXGnog4/DiAvmLEN//Fbp9pGLUXj4ScQXPgIgUULSZxyXpuNa8JP/B1dU4t1/KnFd6Icpo2qwNQA01Q4fakat2GUNXfWtG2Uo/LrWNjBbAAdtVXuBb5wJNv2S9k2OhCCVALTUEQsg1imLYNlg2q58GIoLAOSTgl9w4EzJg3g+Y0JgqbioEF2wcJ17amyDZrxSBb5LOdcjJw6C+NjF5T3AEWo0ePRYyb4adzHnLQ36I/H0JbVbrs0nUxWtAWgEEK0p39FHKJfSbXMNd2xYwcvvvgiw4cPZ+7cuSVdCfc8zca1GicN4yaXdvW8v6Vw98fRZ4BFG5sIWYoZQ9up7JyIc9hgk2fWwXv1KY4Ytnf0QDXtIXrnzehQhMbPXl94tDAcKViqV2vNHe/uYFl9gs8dNpQJg6OQsjqeY51hGDRf9AXs1R+RnjQ9b35pwIBmIDH/bIytGwk/djcjhozgqwdPZkTUZEi4E3mniRjhZx4g8Nqz6Gg1Xu0gonf/hvTrzxJfcDne0L1zE6wVSwg/djep6YeQmH9Wwc0502bD1Bmo917DicVItXkfacMkffDcvPspFLrsMbbSKfw5nimPkk7yy6Gj1cQ/fhWpQ4/HWre8wIObuKPH47SXsm60jOi5aeILLsNa9SHhJ/5O48Tp/m0tPaGDHWQzhAxIpFMEX38er2oA6emzwbRInHgOkQf/jP3h26QPnJN3v0JZEtrz4LXn0Y/d68/Lnv8x1Gm5AXCVbZBQGsugYMaHUoro0EE4Uw8m8OYLJOafnVPYyl7yJtaGVX5l5E4W/coTqsCcf/yPuNP+9POeVU4ArQyUZWO6Lk7b97vpZ5/YuAStVgXT7ED+MQhH/GJZnkvIUjjaX9mKhLCDVs4xD5qa5pRLuoPfjkg0yNdnV2O0BODtVdguJmobGMojXuQCR+LUC3BHTyQ6Y1aXUvnbUkfNR//tVli1FCa1XATULanZVTUF76M9t8OpQkIIUUkSQItu4TgOrusSi8V4+umnCYfDzJ8/v8M2U8FgkEQiQTKu2bQOBg+j3cJhGUrtbQ3SX/THANrxNG9tamb2iGjxtOl0ClIJJtda1NiKRdvSewNoJ030r79GxZpo+sw3CwfPdqhoIZ5nVzfw/JoGPjallrljqv2FgaB/Fl5qC6jqWtJHzodYDJy9xWYyFZJNpXANg9j5n6b69z8kcvdvmf2F/8ALt181Po/W2O+/Tvixv6GaG0gdMZ/EOVehw2ECCx8l9PjdVP/yeySPOZXEvAUYjbuJ3P1bvKEjiZ3/6aLp19W2gW2G4MgTsAHHKX6Sm2EoRXVA0ZiqfHCbETD9YC5o0uH+dJY7ZiLumIn5N0RrSuuNZPsBNJZN4uTziN7zO+x3X/WLz7lp0B6W0f7PonLShBrrsZa/T/L4M/3RRjSpQ44h+PLThJ68l/TUg3IyKhT5BZr0hjXo+26H9atg0jTUuVegMtXj22ibwdGWqRTe0fMxbn0H+4O3SB90hH+D4/hzs4eNgsOObXcbJTPMTrWuKkQZCmXovpN1W04gaPvH1zLAKbT/doCwl9i7SdUyJaUNpRQ6UgUthQurbMMPzsP5FztMQ1ETsoilXb9AYzGmxfjaQPZiQGevLftz/jXxQk/QMNAHHY7RXmpFZxx8BDx0F/qVZ1GTWmXROGl0MoEq1Hc81gzdeHFQCCHakgBadIt0Oo3jODzzzDOkUinOPPNMwuHCBacyTNPEtm1SqTTrV7loDWMnlRYUG4bR4RzpvqY/BtBLd8RpTnscNrJIwS7XzbbtMZRiztAAL29OknQ1QQPCD9+BtW4FzRd9HndkgSrshulX2S7gw+1x7nxvBwcPj3DegW2KKwVDpQfQmbmboRA0tQqgW94+puE/Db/X9DVU/ea/iP7lJuKnXlC4Im60CqvNHGjleQReexZ71Yc4o8YTv+Ja3CmzskFV6oQFpKcdTOjxvxF64TEC772GNv250s2XX5NbdbwVP3jO3YmwZeDq4nMWM8GzqRSWoUmVV9S2ZJkK034A3T2PUZAdKr2xsBUA/PdneuZhOC8/SfiZB/xUeTuA7aZRqoNR2mSC4BvPo4Hk4cf7F3A8DzyP+KnnUXXHzQTefIFUq/ZhrYuH6XgM/cT98PIzEK1GXfJZmHNU+1k2ptVmikNmY142bdWaOhOvbgjBN57LBtCBRQsx67ehrv5q5UYJg+1/j5fLNFX2u1ApP840DIVhQDrVw3OkVRmvUUv1baPAcVOGIloTIpRIo2gJPlvmPRd8WMtCh8J+wQ9ot580QMQ2sQxFc8orfkHMCkAqgaFUwX0slV/gzKDQz1V3FFJXgSD6sGPhpWfQDXtQrefsx2Noy0a1+rzrZKLDdldaa3jrFTjsWFSR3xchhCiHBNCi4jKjzytXrmT79u3Mnz+fQYM6nsQcCPgnDfFmk62bYMQYCIVL+4U2+1kBMa01/bEA97tbYgRMxcxhBU5CPA3xJlqPBBwxLMBzG5M8tDrOZTteIfjmiyROWEB6VpFU2yJFw7Y1p/nVa1sYVmXzucOG5Z8QmiZYwZwR5YKs4N5RJsNomavo3yeT5mgpRarlOXgDhxC75AtE//S/VN15c9HNFrqcoENhYmddTuqwE/xK4q0DIAV6yAji511Nas6xRB66A2PHFpqv+hrewCEFH6M6YBRtMxO1FK5H3pz61sFz2+dWSYbaO8/TUH5xq2IBfUUpo+jFhoIMlU3jxjBInHoBVbf9lOCrz5A87gwCHZ2Ip1PoVBLeeAE97WD0gEH+e0h7kErgTD0YZ/wUQv/8B6mDj8rum220zJN951X0P+6C5kY4aj7q9PP96sMdCUVQdv6cY+3tDaCVYWDMnYd69B6MrRvxBtQRfu4ffhrstINKf43aYxgQqMzoc4YfC/kBs9Hm/W0YGrebLvgUVGppcGVk0+Qz3xumpbLBv2koqkMWWvtBLIFgx6P2wbDfWs91SnqNA6aBGVTFU7pt/7HLnf9cSEctsCpNzZ2HfuFJeGMhnNR6Kov2R5ur/VRu3eqCbTF66yb0/bfDyo8gEUOdfE437rkQYn8hAbSouEzl7Q0bNhCNRhk/fnyH97FtO5veveLDFKYFoyeU/qNt9bv5z+QXnukHlu2IM6kulFedGPDnIbeZPzi11uKEkUEeXZtgyocfcdS02SROPLvwxoOFRxLjaY+bXtkMwFfmjiBc7IywzYhy4cdoM7oYDLUEIDqb5tj2qTkTptHw9R9jNO4uuMnq6hoaGxvylnt1Q9DhqB84Fxq1My0IhHDHT6HxS/+JijWhqwtXSG4veIaW6rkBaEiSnefcNngGKnIyXUjb7QZ7KoAOhsvv32sHskXfnInTSE85iNDCR0kdehxWsAbtpIsWyNLJBCx+E5oaMI6ejxEI4Cn2Vkx208RPu4Dq3/43oRefIHGSf7Ju79i89yR+zAR/RHjMhNL2VxkFg2f/JsPPXMi0NTv8WHjifkKLnscIR1DNTagzL+q4hoRp++ntHdUSCIRKqkdRDqUUxeo/KkPRo1caS30vWVb2dTANhWkYOdfHopkPRCYzpkDqdlvZVO7mxpILtGVSupuSLkm3TZq1aYJhdDp9uzepoSPQB0xHv/o8zD8zd+TeTaMTcX8kOZZ7wbY1nUqin/4HLHzCv4Bx0adRJy7omScghNjnSQAtKioz+ux5Hps3b2b8+PEdnnAppbKjzzu2OWzf4jJhioltl37i1NHc6r6mP6Zvx9Me6/ekOGvawPwbPV0wjU4pxScGN7Hto038cuqFVB8SZUKhNMYiQaanNb9ftJXNTWm+fvQIhlW1c2LZZkQ5/zHs/AC95T6Gk8yOaheabqpranFragtvt3Yg7u5dRXZK+aPPxT4CwXD2dSsWPEft9oPnDLMliG5MaQylqAnkp26ahuqWYmJte8faRstc8u68SGRanRsNzfbp9fctfur5VP/yu4SffwTz3MsgmSyaNqwN/ArBdUNQU2YSjoRpzsQtLYG5O3oiqZmHEXzpCVKHHEXorZfgxcf9k/jzPglHnlBeOnVHI5etAmhVVYM+6DACb7/sX8yafWTHgbphQLTKD8Y9fyS9oHJH+yugx7uwlfqAbQJc21Z4Le+noGlgt1yFU6aJrqop+aKDv3516fvboipoQpICQXQAy+iflanVUfPRt/8KPnoPDpyde2Mi7o8+u4Xniuglb6MfvAN21ftp22deiKob0m4VbyGEKEc/vDYp+rLWlbdTqRSjRhUuitOabdv+1Xet+eCdOMGQYuzE0qvFKqWkAncPWLkzgQYmDypwEu2kKTgSkIgz4K8386/L/0ZNyOTmj1LsTrYtSKOKjtA88OFO3tkS45JZgzmwvarfGcEQRaPVYif/wWBOlVrVxTmDeY/Z3sUdRctzL/x4hlIdVoVuzTYUVbZRMHjOrlPhc0hD5RfIgo4LX3VZZ+cyGionAPKGjSI15xjs1/6J3rndvwDT3FDwn7NxLaxaipo7D2UHCYUCe4sXZgNz/FZSnkv1jd8h8PwjMHsu6hs/RB01v/y5yB1dJGgzfKuOOtGv6O25qNPPK3Kn7NoQqc7uk4pE84LDvfsRrPjoc0fapnR3Nz/A6ugxW/o8t9JSTwylVF6GTLlBW2eDvKqgSbBN+owRsDvsPd5nzTgEamrRC59Ap9tenNUFL5TqnTvwbvsF+o83QjCE+uK3MC7+NKpI9W4hhOis/hV1iF7leV42PbsQx3HwWlJ4N27cCMDIkSOLrg9+8S+75WSkfrvDnl0uk6YFCQQsjBJPNA3DKDuLs7f1xwB6eX0CBUwcWCAQLdR/0/OI3vN7jPqt2BdcybWzB9Cc1tz8XiPp1mmZwVDBkZ/XNzTx8NLdHD+umpMmlngClBmFbsu08gKN1vex27Tlqcj1GNMubcTONPNTy1uEOxGEBsz2LwBYFT6hLlaEt9LFeXPYwcJFtUq+f24AlDjxHDBMv51UOxLPPe4/7uHHZlughTNvFkNlC0t5dUNJnLAAd8RY9Oe/iXHJZzp3Em8YHafztr19/AEw/WDUSWehBg1t/76RKKrt5yJSVWAusOrx0eeMPjcKbVs5FxKUIjviHLZ6txtEVdAk2OrLywrsvajT3yjTQs07A1Z+hP75d9BLFxddVztp9DMPo3/6H7DiQ9SCi1Ff/S5qYpGe8EII0UWSwi1K4nkeiUQiG0Tbto1l5Z5IZEafwQ+gBw8eTDgczgbVhQQCgew21q5IYQcU4ycF0Rosy8rZZjGGYfarCtyup7utlVB3Wl4fZ2xtIH8Osqezc0pbCz19P/ay94gtuBxn4jTGAp+ZUcWv3m/iz0ubuXp6FGUFCp6Yr9mV5Na3tjF5UIgrZg8pb+QrmEnjbvUad9D/1gqHoSmVvU/Jg77K8IsDWQW2X06v3GAYXC+nkrihVLcEoZVO1mibvp2hWkbPk5Wew6qMrleCzlbjbtm3mjrU8afCMw+jjz+tYNqzTiZIvvIsHHQYqro2OzKcCVjijocbCGQL2SXnn0X6xLOpDXbhBS90MagNZRhowwTPr7allEJd/dWOtx0KF+wLrQzDTyNubCDbXyoQqGiv33IYhsLryQuOhoL22mqZuRkBpukXDzMN1f1ZFyWoCvgXP5KO59eqsO3CFzj7AXXcqTBsFPr+29F/+Bn64MNRZ12KGrB3GpFe/oFfX2D7Fv+zedalqNq6drYqhBBdJyPQokOu6xKPx7OBsOd5JJNJYrEYqVQKrXXO6HMymWT79u2MGjWKYDBIJBLBKjD6Z5pmdnki7rF5Q5ox4wOYlsKyFeGITSlxU3+rwN0fR58dT7NqV5LJgwoELgXaR9nvvkbohcdIHn4CqSPmZZcfNjTAORPCvLQ5xZPrk1CgAvGehMNNr22mKmDy5SOH5aRXl8QwcgNmw2x3HqmhFJZl5gS8Jac9hsKoaBVEIvn/yg04IlGIVmdHMYOm6paUWatlHnQlGEq1e3xC3dHnJhgqv3BYW4qckVvbBDXvYxCtQj/yt8IF/t55DR2PoY6an5fOHLQMakMW1dEgVquU/S4XbSu133Kx7Ip2tqtCxadEKMOEaBXZ0csKt64qR8+PQLeXQq325mu3Wt00FFHb6PEU92KqAv5ItNUqK6K/UlNmoP7l/6FOOxeWvIP+n3/307p31+Pd8Rv07/4HPA/16a9jfOLLEjwLIXqEjECLdjmOQzKZLHhCqbUmlUqRTqdzThw2b96M1ppRo0b5/ZmVIhQKZUevHccv/BFslba6bnUKrWHcAXt/7C3LJBS2SCVd3HZGsfrb/OeCLUf6uHW7k6RcXXj+c5u0fnPDaiIP/BFn/BTiH7uUtldBzpoQYkOTw9+Wx3hl28a8ze1JusTTHv9+/Chqgp38igqEINUyCt3R6LPRKkhIJkF7eZW4CzLt0gOcUpkWRCzwwgRVquW1rfz7xTIg3d4oW4mCHUzXNA0/wK7cRSNV0qhsSUJhiDngeQQMhbLDcMo56AfuQP/8P9Ft3wQ76zFHjcMbP7noeypgGthVYdLxGHFHZ3tjd4ph5qdXF2PaQAcV6LPrWn6adgeUZaMjUUinc/ru9rRyWjN3+wMGgzkj8Urtnadt97ELuZmRaG1bEO/lnekiZdlw8tlwyFz/8/nQXfDQXf6Fo1POQc0/s2ileiGE6A4SQIui2gueW9Na56yzadMmLMti+PDhOYG1YRgEg0ECgQCu62bnOGtPs25lksHDLKqqc0/UAoEAnpfAMMFJ67zquKZp5oz49Af9cQR6xU6/Mu8BdW0CaM/LSd9WjbuJ3vlLdFUNzZd8seDImKEUnzlkEHcvj7E7nl9FdVDEYv6EAYyt7UKgZCg/lTuV6jDgygTQSil0KAzxZkxVQrXqzhaxKkE4aGHaQbTX0ue0wimYlqEqciGnlAAxaFYwgLbsyk3pNAyIVEOsce9I8ZHzoH471G/LX39AHdHTPk6THWg/oAwEsZNx7EAXd7ScCuMlB0nKr7hdalXoQBBd6YtEZVJKoQydzSbvdsUC4QJVyHu6yFlnKMPMbXXWj6lBQ+Hqr8Lit9AfvYeadwZqyPDe3i0hxH5IAmhRUDqdJpkscUSjjY0bNzJy5MiCaduQ6fu597atmx3iMc2MQ/JP1EzT9KsiGxAI+nPhMoG0aVoEg8GeH6HoAk9r3H4YQC+vTzAkajEw3OaYtg7s0mmid/4KlYzT+Nnr0dEi7VisAMFIlE/O7rg3apfYIf+kt4Nz3JwK3MEQ2nEgncQ0/H7dRbfdTRdu/LnDLVWRDdPvDdu4JzvHtRJso+uDUqZSJRVMChgQq1TrrHJTlTtiGFhVNSin2U8DtSzU2ZcWXT1QVwfJ4oUUoaUVUUtP6C4pY6RdGSbaMPL6sOdvM1B+Veg+kJZsGKrnvjeL/aAEw3mvRb+5dmvb+0QADS3vx1mHomYd2tu7IoTYj/Wj0EP0lMwc585oaGigsbGRkSNHllxFe+3KJKGwYtjI/BSstsG2YSgCQYNQ2CYc9uch9oHzu5L11uhzV4qWaa1ZXp9gctvRZ9jb+1lrIg/+GWvDKmLnXY03fEzhjZlW0ZZVFWeoDtO3lVL5RbUiUTCtgv2g/Tt1bz/cgJkbmCql/H2qoLLnlRdQrHhYW/4FgS4/nK+jitSdEAxYUFVT2mRbw/SLxnWkM/2pWzOt8tOmzRJemw4+D31Vj86DLtKnXgXzj6nRHXP8u0M3fG4qyrJbphX0k9dTCLHfkwBa5HHdzo90ZdpXZeY/dyTW5LJts8PYiYGi6XBtR7ItyyISCREMmQSCql+k0WX0RgAdS7t884l1/M+Lm9jcWH4q8LbmNA1JN7+AmOdlRzWCLz9J4N1XiM8/m/SMIiMDyvCD5z50uCyVP8KmlJ/mahYLYILhrhexake4wJx+ZdkVTxkv1Lu5HIEy4ruwVYHe2obZLZGUbSh/VLaEIFoVaTeWv9EAXXqjdyZtuqMgyTD67TzRngyglWHkj0IX+Oz1m9FnWr4/+myqloJw1K8IXz2ga+3phBCih/TVb1TRi9prO9WRjRs3UlVVRU1NTUkB9NqVKZSCsROLn5iappndlmVZhEKhbNDTn4JnAKfSLX1K8Oiy3dTHHdbsTvKfz6zn3iX1JIvmJudbVu/Pf84rIJb2sxSs5YsJPfF3UgceSnLegiJbaRlF7aVWOMVYxVowGSZWVYEREdPu+uhiOwJmO31kg+GKnlx2ZRTaMlTplcrxL0pUB7pY/buUEdYCAmbx6simsXe0f28QXTwyUoHSMg+UYXStwFxn3mMdpbdXqvhaL+jxTKPWn41AsGAxt34z+pzRVy+eBEPZbAtltnwGS/ycCSFEb5FLfSJPZ0egPc9j8+bNTJw4EcMwOgygXVezbnWKYSNtwpH217UsC8/zCJXTW7cPcno4ft4Zc3hqxR6OGlPFRTMHcc/ieh5ZtptXNzRx+UGDmT2i49Tg5fUJqgIGI6rbnICl0xjbtxD922/xho0mdv7VxQPkUKRPjiy0F0RagYC/34nmvQu7sXAYQKidivJKqb3zoSswn7grxes7U13aVIoqGxrTndx3u/z3j1KKqoCB40FzysVtM5WhbRq6Mkx09YDCc4kV5aVVB4LZi0xlMa2y5ylDy9xrZVC02lY/Td/OUAboypUBaF/me6yd6Rp97Fpgx+xAS2eCPsQw8r5TM1NWtGVBrJmc7zrT8v9Zln+hy3XAcfx6A1248C+EEOXqE2e0L7/8Mu+//z4jRoxgxYoVnHjiicyePbvo+kuWLOGuu+5i3bp1VFVVcfTRR3PhhRcS6MaRof2F1rrTI9Dbt28nnU6XnL69eUOaVFIz/oCOj5tt232imE1XuJ7usKJ5pd3/4U40mnMPrGNAyOIzhw3juPE13P7Odm58dQuzh0e4YvYQ6toWB2tleX2CA+pCua+/66KaG4necRPatGi6/JriJ+h2qFtHbbuio1FYKxTEcV1IJ/wRvG7M27QNhd3BqJYyTb9SeCLW5ccrOse7BOWkb7dmm4qINoiVkQHhU50agbYNv5e2bUJNyKQ55ZFyvZzb8x5JqYocZ2XbaDvo1wkop4R0V0auLatwxXbT7tVWVJVgGAqvpzJ4MhcwgqGctlWtb+53v0eWjZ9R04eKWIYiRV9HFQj6QXQq6X/2LSt/XcuClp8d7bl+MO04/meugkUXhRCirV6/hvrPf/6T22+/nSuvvJKzzz6bK6+8kv/93//lo48+Krj+ihUruOeeezjttNP49Kc/zfDhw3nwwQe59dZbe3jP901dnf+slGLEiBGlpW+vSBKtMhg8rOPrOP3uZKWArhTy6oz1e5K8vK6RkycOYHBkb/AxdXCY7544hgtn1PHB9jg3vbq56L41JB22NqXz07eTCSJ/+y3G7h00X/oldO2gwjth2hDu3lHbzjKNjuflmoby998K+inU3cAP8AzCdmkBjgqFO53O3PZxO5PGHTK7Np85ZCmC5aa/mlanphS3HmE2lKI6aBINtFT2b3ndu5OKVqEGDITqWghX+ReZOhpd7srFpmLzoPvoBaxy9OiIrzJQplV0znsp1ef7GqVU5avYd4Vp+/Oe26EMExWKoEq4gK4MExUIoiJRVE0t1AyEaHXL1Jc+mr4uhOi3ejWAjsfj3H777Rx33HHZ1NxBgwZxyCGHFA2In3vuOa6//nqOPfZYjj/+eP7jP/6DcePG8fzzz+M4+0abht7U1QB68ODBBIPB4gWYWjTsdtm5w2XcpMA+ERyXoqenP9+zpJ6IbXDm1IF5t1mG4owpA/nk7CGs3Z3i9Q1NBbexPDv/OTd4DD1yB/aKJcQXXI47bnLhHTCMnqu43QmlBI/ZdSKRihYOMw1FyDKoCZoMDJnUBM0OR59zRKNUohqb3YlfgGBXhq5bRKwyg/dOnvgXek0zr3slnkeplGmigkFUpCr35D4Qyp3aYNqdSt/ee/9Cr5Pq2qh2H9Gj9S4MAxWOFL+5vw7m96X3QTuvbyUow0DZAVQ4gqquQUWquvXxhBD7l14NoN99912am5uZMmVKzvLJkyezZs0a1q1bl3efuXPn5syDNQyDWbNm4bouiUSi2/d5X9fZ9O1kMsmOHTsYNWoUQIcj0GtXJjEMGDOhD/2gd7OeHIFesi3G4q1xzpw6kGg7+bZzx1QxZkCA+z7YSbpAhL+8PoFtKMbV7h0psF99htCLT5CceyKpw44vsmUFkepurVbdVaVUoS6nUFYplFLUhixqQxbRgIndToGrdrdjmBU5AS13BDpgllc8rBilFFV2GSPZnWjDY5tG0e1bhiJS4oh/d8ie3EeiqOoBMKAOojVdztZQlpVfbdkOFExD7o966mko2y5asdww+nFGVF9pZxUIFSzMJoQQ/UWv/qquXr0agMGDB+csHzJkCAArV67Mu8/MmTPzlqVSKUaNGkVVlVxh7IquzH/evHkzWmtGjRrlp0e2c6bjpDUb1qQYOdYmENw3TuxK4fZQjRNPa+5ZXM+giMVJE2vaXddQiotmDmJHzOHZ1Xvybl9en2DCwGB2JM9cu5zI335HeuJ04qdfXHzDfbDidluljUBX9jHb9njuChUMdbkwW7mDsOEKVh42lKLaLqEytzI6NSe51D7VfYFSyg/aKhHgtA1M9oH07Yy+0HWh31XfbkWZZu8Pn6v8wmFCCNHf9OoDyfuVAAEAAElEQVQlwMbGRoC8ysqZv/fsyT+hL2Tx4sWcd955RW9/+umnefrppwH40Y9+lBew9xTLsnrtsUvhOA7BUvuctrFo0SICgQBTpkwhEAgQjRZP3f3w/d04Dhx86FAGD943f0gLHWszluqRPtDPr6hn3Z4UXzthIsOGFJmb3MpxdXU8s6aZh5fuZsHBY6kK+l8LibTLut2rOPeg4dTV1aE9D/3zP8CAgdhf+Ba1RdKzVSjsz9PtwwylGBQtLbAwm1N51ZtbsyyLurq6krZVG7YrOu9WDxiA17i7S9swEw6l1PQKmIqaYOVPvgd6moakS7GPhrIDqGj5F0frIoGKz1Xt69/hAF40go63VI43TMza0t6b/YHrapKJnikOZZpmwc91OGL23xFowIuE0RUoQthZRqSqz/0+9IfPtRCib+nVANpquVLe9sco87dVQorPK6+8wpgxYzj++GKppHDyySdz8sknZ//esWNHZ3a3ywYPHtxrj12KVCpFKlWggmsHtNasWrWK4cOHs2fPHmzbJh6PF1zXcTwWv9NEzQADZTaxY0dzwfX6u0LHemfc6fYq3GnX489vrGfsgAAzBsLOnTtLut/Hp9TwvY0N3PHaai6c6QfdH26P42rN6Ihm586d2K8/R3TtCpo/cR3pYBRSDiQTfguRDCsIHhArfPz7ioBpoOOlBYONSTencnNbdXV1Jb3OlqFQicp/5epYc5fa08Qdj3ih/mp2EJSClD81pjpg4DR3T+Dgak1jShee5hCKQrK876Xueq37+nc4gHbS0NTg/xEMo8queN53aa1JJnpmKkzbz7VSYAcUsXj/DZ4BdDoNzQ3l3cmy/crWpbIDYBW4QKlAec3Q1Ld+97v7cz1y5Mhu27YQonf0ao5lbW0tQN7c5czfHY3qbNu2jRdeeIFrr722W/Zvf9PZAmINDQ00NTV1OP85ndbs2OrQ1OAx7oD9p3gY9FwLq2eW76Q+5nDRzEFlVUoeWxvkqDFVPLVyD/Ux/0RpeX0cBRxQF4JEnPAjd+KMGk96zrH+nSwLolX+3E0r4KcTd3NhmEopZ+5vpQaM2+vx3LUNR/LnvRZUZD5w3vtE+UFrOOKnWlpBLEOVNGe8s0ylqA4UmRPdibmSgW6urt2nmRbZY93Pez+3pZSiN342TFMRCKo+kULeVcq2S/y+aGGYqKoa/4JaKUwbIlV+0by2//ax96MQYv/VqyPQEydOBKC+vp5x48Zll2euBI4fP77ofRsaGrjrrru45pprpP9zhXRm/rPWOttyrFgArT1NKq3RHmxYk8a0YPS4/euHtL0CYos2NvHIsl1UIr7e0phi5pAgBw4tP5A998A6Xt/YzP0f7OQzhw1jeX2CUTUBIqYm+Mw/MHbXE7vsmvy5zabpz3nuJwylyqrA3JlWT4Ues7vm5CrD8HtDx9sb1VF+1WfTgESiZcTaf8NZBigUGu3Pj4xU5R7jcIRQWgPdmzprKkVNABpT7E2ZN61OzaXvT/OfK00p5ffP1brf934uxDAUbg+2NLADCnNfez8FQ6X3ks+kW0ei0OTlZhy1ZRgQje5XF8eFEPunXg2gZ82aRXV1NcuXL2fOnDnZ5cuXL2fSpElF016am5v585//zKc+9Skikb2Bwrp16xg7dmy37/e+yHXdskdIk8kkCxcuZP369UycOJGaGr9gVesA2nU16ZS/3VTKY+umNKPHB7Ds/esHttj5XnPK5U9vbycaMBhZ3fULQcNDcN6kiB8blfISa0BrMBSDIjanTBrA48t3c/KkWlbsTHD06Chq+xaCzz1MespBOFMP6vI+9rawXbw6cyGVqDodMFW3nlSqYAidTIBXKMhVUFW9t0BVJOoH3KkEJJMoPGqC0EwAJxDJe9+YpiIQrobGBtDdmw5sZILoNH69gE4USTONyhVq67cKVePeRxgGtE2WMgywbH90OpXUFbkYaZqKYKh7P7e9JhjyL6IV/L5oxbSyo8ZKKXQ06k8PKHix3e+80KU2bEII0U/0agBtmibnn38+jzzyCOeeey6BQIBdu3axaNEirrvuOgBuueUWVq9ezXe/+10syyKRSPDTn/6UuXPnsmTJkuy2Ghoa2LhxI5/61Kd66+n0a+WOPm/dupXnnnuOeDzO3LlzmT59OuAHz61POJz03jOZTevSeB6Mm7T/ZQwUG4F+dNluYmmPfzt2JGNruzgq76Qh1tLPORWHYAmFWhJxSCf8kUfT5syJURauaeA3b2wl6WgmRyG48FFUMk787Cu6tn99gNXSf7kcpuGnFnelDVm3pW+3Fo4WmNvYJnjOLDUMCEXQwTAkE5jKYEAwSDztEXe8nItpYcvwR7mjVdDUSGbkursopai2YU8KvE5Upd6fR5+zLLv3qy13k9YJCZnAuXVqdSDY9SDaNCEYMlFN++Z7SSmFLvh90UabYl/KMNGRIt8Dkai0phJC7Dd6/dvuYx/7GJZl8dvf/paxY8eycuVKrrnmGg499FDAr8S9Z88eXNfFMAx+/OMfs2TJkpzgOeM73/lOT+/+PqPU+c9aa95//33efPNNqqqqWLBgQU71ytajz5679yRGa791VW2dyYCB++aJXXsK1aCqj6V5auUejhpT1fXgGSDt7P3/VArsUPt9mB3HD57BH4nwXCLAWeND3LXcT++bqhoIvvoMqUOOwRszqev72Ms62/vXNBReJ9NG7R4aEVW2jbaDkG4pKKYMiFa12xpJKZVzkhy2DWxT0ZRycT2N2Sr1XFm2f9Idb+rW55HZr6AJ8U6MQO/X859bVKQdVh+lDIVhaixTFWwppZTyg+iU7nTCxP6QIeV/XwQgXaRAn2mj7PyL3cqy0ZHo3ou14Berk/nNQoj9SK8H0ACnnnoqp556asHbvv71r+f8fcMNN/TELu13ShmBTiQSPP/882zcuJHx48dz7LHH5s0/b5u+nbFzu0s8pjlg+v5VPCyjUBuk+z/wK7yee2CF2sx4rQJo7fkpusXahXgaEoXnzM4fHeTp9Qk0MOqF+0ApEqdfWJl97EVB08j2sy6XZUC6k1OAgz0x+pwRDvsnxMqf89yZESHLUAwImsTSHobKTWFVwSDadbKVuYHMMKBfPMg0KVjlSXvQ3FRWCngwaJMwVFlTS0ylKjJnXfRtgUD7nymlFIFA54JoPxV8P3kPhSOQTlMwq6SdVlMqEES7LiTjYAdQ/aR4pBBCVEqfCKBF90qlUliWVbQ6tud5JQXQL7zwAlu2bOHoo49m6tSpBU8yMo+htc6Zp7Z+TQo7oBgxet8dGWlP2x6363YneWV9E6dPrmVQpAKviafBdXKXpZIQKDIKnYwXmcfmj5h+dXY16S2bCTz+KonjzkAP6d9tOJRSRDo46W5PZ+dBd2fxsEKUYaLDEX/uYhfSKZVSRAOFR+tVJIo2lJ8ibFklznlsSf0so32OEQgSVIpEoRZbRXT2AonY93QmiFYKrDIKDPZ3yjDRIb/LQg7L9qt1t3ffcMS/uCXBsxBiPyQB9H7AcRw8zyMUChW8vZTgubGxkfXr1zN79mymTZtWdL1MAN06eE7EPbZvcRh/wP5XPAwKt7C6Z0k9EdvgzCm1FXqQQpVRtd+nOdxmJMFJ703zLWJkxCC68G68SBWJ+Wd3qhJyXxK2yisc1lbQ8kevHU/7/1yNo+lwdDRo9fxolgoW/pxX9DFC5Z80K9tGhyKlV/+1bELKIFFGH2NJ3xatZYLodEoXu16YY3/8fSIYbiko1uoFamf0uTXVj7ovCCFEJcnZxj5Oa43neTiOg+M4BdcpZf7z0qVLUUoxderUousopbIBdOv5ohvX+nOsRo8L9Pc4rFPaFp9avDXGkm1xFkwdSKTIKF/ZnCLHMN3mxMjTEO84gLGWL8Ze9SHJE86EmtrK7GMvMQ1FqAKjSv5oskHENqkJWQwMmdQELUK2WTRIDkpAl0OFwqX1Jg4EUaaJaaiSX0NDKRmBFnmUUtgB1eFvj2Gy77WrKoFSyi9AmGEH9uk59EIIUQkyAr2Pax0cp1IpTDP/ZL+jANp1XZYtW8aYMWOIRotfcc6mb3t7r/Z7nmbD2jSDhlpEqoz9Z25ZK61rT3lac8+SegZHLE6cOKCCD1KsN2dmFLplxDARa38eqpMm+MLjhBY+ils3hOQR88Hq31XTo3b3vO+UUtgmVActYkGThOORdPdmGwRMQ9opFRKO+lX1Cr1nlQHhSE5BopBtkCxUha8NCZ5FMX4QDem0Ltq5yd6PUrfbUnYAbdl+dlIp3RuEEGI/JwH0Pq71qLPneaRSKYLBvSenmRHq9qxdu5ZEItFu6jYUTt/evsUhldSMGW8XrJi6P2g9Av3q+ibW70nxucOGVu6E3/Pa7+eZTvp9Px0HnCIVVwFrxRLCD9+JWb+V1IzDiH/sYj/Y6ceHLWAa2D0wCmwa/pzhsNZ+IO1ogvvxCXl7/H6yVdC0Jzc7wrL9Vjht5lRbhsI2FOm2hQTaCO6n3y+iNH46tyKd8vL6SFuWQu3vF7vCUUjEpRWVEEKUQL4p93FtR5fT6TSmaWK1/EiWkr790UcfUVVVxahRo9pdb28AvfdEd8OaFKGwYvAwa79M34a9LazSrsd9H+xkXG2AI0ZXVfABCqfm54jHiq6nGnYRfuxuAosX4dYNpemTX8WZPNO/MdC/R58jds++6QyliNgmYUvvl9kWpVKGgY5UQ1NLUbFQ2E/vLiJkG6STxb+rogGzRy6UiP7PDhiQ1rgtxemUgk50S9vnKNP021MJIYTokPxs7MNc1y1Y5Kh1KndHo8+7d+9my5YtHHbYYR0GBIZh5PR+bm5y2bnDZdK0YMv86E4/lX4t08LqmVUN7Iw7fPrQEV0qaJWnyNz23J0okC7rugRfe4bQMw+C5xI/8RySx54OmeqrhtmvzyytHuq/XIgEzx1TluWPRCujw1EvPx3ewy0wCl0VMHu2VZjo92xboQDH0ftX26oOyOsghBCl6b9nx/sxz/OKtqRqrdjocutU7o5GoJcuXYphGEyePLnd9TIFxJz03hPc1ctSGAaMGmuj1P7745w5539hTQNTB4eYPqTCbT+Kzn8uzly3gsg//oK5dQPpyTOJL7gMr25o7kodtDHp66Qic9+n7NIzHMKWQVMq9/tKgmfRWZatUMb+WThMCCFE10gA3Q+l0+mceczFtBccp9NpLMtqdwTacRyWL1/OuHHjCLdthdRGJjjOPGTDHpfNG9KMnxwgGDIw9tP5ZZkWVvWxNJub0hw/vqayD+B5Rfs5F6KaGwk9dS/BN1/EqxlI8yVfJH3gHD+PMXdNsEuoltyH9WT/ZdH9AqbCUCpbU0CCZ9FVEjwLIYToDAmg+yHXdXFdF9Ms3gKplOJgyWSy3T62q1evJpVKMX369A73yTTNbB0rrTXLlySwA4rxB/hB2P6avp052V+yLQ7AjGEVrnBaSvo2gOcReOtFQk/ei0omSBx7Gol5Z/nFxQoJhvr1QbN7MX1bdA+lFEFLEU9rCZ6FEEII0WskgO6HtNbZYmDFFJv/3FpHAfZHH31EbW0tw4YN63CfDMPIFg+r3+7PfZ46M4htq5bbO9zEPimTvr1kW4wBIZNR1RUuylVCAG1uXkf4oTuw1q/EGTeZ2FlX4A1rpyCcaRcPrPsJKSi1bwpZBqZSEjwLIYQQotdIAN3PaO2nBGcC5GLzikuprt2e+vp6tm/fzpFHHlnS3GWFwvVaRp8/SBCOKEaP94NFpdhvW4S4WuNpzQfb4sweEa38PHCvnfnPiTjhfz5I4NVn0JEqms/7FOnZRxdI125N7e0Z3Y9J+va+yWgZhRZCCCGE6C0SQPczmVHjzCh0oEiboa4G0B999BGmaXLAAQd0uK4/Em4Cms3r0zQ1eMw6NJyd97y/jj6D38Jq7e4kzWmPGUMrnL5dbP6z1tiL3yD82N2opgZSh59A4uRz0eESWpSEwv3+gEn6thBCCCGE6C4SQPczrdOyHcfJCaAzI9Ke53WYnt2eVCrFypUrmThxYknFygKBAE5a47qaFR8lqak1GDZy71trfx19Bn8EenHL/OcDKx1AO/mjz8aOLYQfvgN75Yc4I8cRv+wa3NETStueaUOgfxcOAwhIeq8QQgghhOgmEkD3M60DaM/zcBwHq6WHajqtse2ujz6vXLkSx3GYNm1ah+v6/aQNtNasW5UimdDMnBPOSVXu5wOaXeJpWLI1xtgBAWqCFf64tZn/rBp2Uf2r74NpEltwGanD55X+4itjn0jdBknfFkIIIYQQ3UcC6H6mbWGwTDsqAO35g5Ku1/kAOp1Os3jxYgYNGsTgwYM7XD8QCOA6kEp6rFmeZPAwi7rBrUafFb3Swkqn09DcCJbl/zNtsKwe7UXteppYymXlzgSnHlDbDQ+QG0DbS95EpVM0fP577RcJK2QfSN0Gv3iYsZ/2GxdCCCGEEN2v/58x72faBtCu6+J5XktxMXBdTTq9N7BKp9O8//77NDU1lbT9119/ncbGRo444ogOg03TNP32VZ5m9fIUjgOTp+emAKteeIdprSHeBGj/ikIiDs0NsGcnurEBnYihu5DiXipPa5buiONqmFnp9lWu618xaSWw5E3c4WMKB89WACJVEAj5FxNodWytINgVrg7eS4Iy+iyEEEIIIbqRjED3M4VaU/mj0H4A5LoujuNh2waNjY0888wz7Ny5k2XLlrFgwYJ25zSvXbuWpUuXMmvWLEaMGNHhvgQCAVxX09zksX51ilFjbapqcltr9Uoxp3hz4eJaAG7a/5dIoANBCIVQRvF2YF3hab99VcBUHFDXvfOfVcNuzHUrSJx4TuH1bRusln8AGvAcPw3c7v/znsHvE2xLAC2EEEIIIbqRjED3M4WKgzmOg9fSg9l1XTwXNm3azEMPPURTUxOHHnpoNpguNj86Fovx0ksvUVdXx5w5czrcD8uy/NFnV7NhTQoUTJwabLOOwuzhljM6nYJUspQ1IZWAhj3oWBO6i/PGC8kUEJs6OFzZwE4D6dznaH/4Fkpr0jMOLXAH5Y9At1mEafn9nveRIm+2oSR9WwghhBBCdCsJoPuZZDLJihUraGxszC7TWpNK+SOSruuwbNlHPPHE4wSDQc466ywOPvhgjjvuOLZs2cJLL72UN4qtteaFF14gnU4zb968lrZU7bNtu6UfNdRvd6itMwmF976dLEth2T0cPHsexJrLvZcfcDfuRjc1oBNxtJMuONJfri2NabY2pSvfvioVzxtht5e8iTt0JN6QApkDlp2Tsb2vkuJhQgghhBCiu0kKdz+zfPlyXn31VQAGDhzI2LFjGTt2LLUDhmDbildeeZEVK5cxcuRo5s07gVDIHxWeNGkSDQ0NvP3229TU1DB79uzsNj/88EM2btzI3Llzqa2t7XAfMqPPrqtJJT2aGjwmTds7+mzZCquHR54BP3Vbd2Fus5NulRqt0KYFtuWP1BaKQBWoTEp0Ae9t9YP5GUMrWN3a8yCZO/qsmvZgrVlGct6CwvdpZx/3FUopCaCFEEIIIUS3kwC6H/E8j4aGBizLYs6cOaxbt4733nuPd999l3A4TDAYYvfuXcyYcRAHzZqN0aaC1+zZs2lsbOStt96iurqaSZMmsWvXLt544w1Gjx7N9OnTS9qPTO9p19HsqvdTn+sG+6PWvRU862QS0qlKbnHvfOn21orWoOzCAer7W2MMDJmMrK5gAJuI+/vWiv3hOyitSc04rPB99oMAOmCoHq2wLoQQQggh9k8SQPcjWmsaGxuprq5m5syZzJw5k0Qiwfr1G1i7dh179uzimGNOYPy4CS3rg+dqjJaROaUUxxxzDE1NTbzwwguEQiFef/11bNvmuOOOKykAsSwLw/D7Pnse7NzuYJpQU2v2XvDsuZCI9fjjAhBvQlu1ea9dyvH4YFucOSOilQvsHAec/IsE9pJFuIOH4w0dmX8f095n5ji3J9AbGQ9CCCGEEGK/IwF0P5IJoGtqarLLQqEQEydMYsL4yYRCYeLxWE6hMcfR2AbZIM40TU466SQefvhhnnjiCQBOPvlkwuHS5ulmR59bam7t3OEycLBFIGj0Tto2+POeu5K63RWe56eOR6pyFn+4tZFY2mNGpdpXaQpeJFDNjVirl5I87gy/6XZbRUbH9yW2obD3g4sEQgghhBCi90kRsX7E8zyampqorq7OXa41dksfX7tNP19/FDp3O8FgkFNOOYVIJMKMGTMYO3ZsSY9vGAaG4b9lPFeTiHvEmj3qBpuUUHesW+hkIq+lU49LJf3q3628vm43CjhwSIXmP6cS+QcSsD96B+V5Rapvs8+nb5tKURU0JX1bCCGEEEL0CBmB7keam5txHCcvgDYNK1s527Is0mkjbxRaGWC0GqWrqanhoosuygbEpcg8hvZa0rd3OADUDbF6JYDRrgvx7k3d1h++i/7nI5BM5N+oFOrgw+H401GxZnS1hWp5PRet283Y2iDVwQpcWfC8wo9PS/XtuiG4w8fk32haUMbx7W9US/AsrauEEEIIIURPkQC6H2loaADIC6CtNj1+bTtAsk3A5aQ1doCcQLec4Ln1+q3Tt+2Aoqa2l4K0WBNtC2pVit5Vj/7HnbD4LRg8DIaNJK8Sd6wJ/di98ObLcO4VqOmzIVpNLO3ywdZGzphcW5mdSSQo9DxVvBlr5YckjzmlcPr2Pj76HLUNLEndFkIIIYQQPUgC6H6kUABtmjaqTSZ+oVForVvmQ3ehN3NmBNp1NVprdu1wGDjIxOyFUU6diIHrVH67jgMvPIl+6kEA1BkX0DT3FNKGiWUoLIX/XwMMpdAfvYe+/y/o3/4P+pC5qAuu5v1kFE9XqH2V64CTLHiT9dE7KM8lXaz6dpt0/r7GMlTB0WMNOJ5utxd32DYIWvvu6LoQQgghhOibJIDuRzIBdFWVX7BKKYVl2tkR4dYKjUJ7LriGxuxEv9zM/GfP02gNsWaPRFwz/gCrx7OEteO0tHOq8HZXfoS+/3bYuglmHII65zJ07SDSSf9ChONpHADXD+xMpbAmzcT62v/Dev5R1LOPoj98l7fmf42QNZADwg5GvBnLUAQMhWUo3FCIZkfhae2nZjuOHyR7RYqgFZj3nBFY8iZe7SDckePybzTMPpu+bZsGYUthm8X3z9OahOORdLT/WrUSMA0idi9NuhdCCCGEEPs1CaD7kYaGBsLhMJblHzbbtosmMBcahQY/lVup3PnQpciMPmfiuV07Wvo/DzFRPRinaa1bUrcrvN3XF6LvuQ0GDkZ96jrUgbMBSDrFR0FdrXFdSGLBCWdjzpjLomdf4YWGADMaPmDwf9yWdx9z0BBqzv0kTZNm4jjFg+MOJWJYKz4gOffEflN9O2gahEpMuzaUImKbhC1NwtEkHQ9XayxDURXomxcGhBBCCCHEvk8C6H6idQ9o8EeEbdsmlSwe4BUahYbC86E7YpomWmvcltHXnTscgiFFtMro2QJi8Vi7o7KdoVctQ9/3Z5gyA3XltahAMHtb0u1gjrUywDDZGNf8ZUOUpXXHcUDY5ZoJdagDP5O7ruehX3gS/vAzqmYcQurMS4lV13Vqn+2l76Fcp53q230nfdsfMTYwOzFfWSlF2FaELEXK9QNoqbgthBBCCCF6iwTQ/UQmgB4+fDiwtx9zO9NEi45Ca50JoksPRAzDIJ3y07e11uzc4TJ4qIXRiXTwztLptN/OqZLb3LUD/eeboW4I6oov5QTPjqdxtYZQFKzCH5WkBw8t3cUTy3cTsgw+fehQFkwdyNAhQ9ixY0f+4514JvqRe9BP3Edg2bexTzqLprmn4pbZB8xe8iZezUDcURPybzQMeq2vWBu2aVSkErlSimBv9RkXQgghhBCihQTQ/YTjOMRiMaqrqzFNE8uy8DoaHaX4KLTn+cXASpkPbRgGTqtpuk0NHumUpm6wWXYqeGdprSFe2dRtnUqib7sRXAd11VdQ4dyiX0lXgxWEQP5ortaadzbHuPO9HdTHHY4dW83FswYzekCg3bZKyrLhrIvh4CPQD96Bevxeqt96GXfemdAqeG9/xzXG8sXoI0+gKpj7EdZAXAUoMqO6R5mSbi2EEEIIIfYxEkD3E42NjWitqa6uxm6Z3+qV0MGp2Cg0+KPQWvuDle2lxXqugdfq5kz/54GDLXqsi1AqWbzQVidoz0Pf9QfYsgF19VdRQ0fk3q41Ka0gHM677/bmNHe+t4N3t8QYXRPg+sNGMmVwmJoSexIrw4SRY1BXXuP3mX7gDsy//aHs52AcMherwAWQQDREzDNIur0XRhtKUR2QHs1CCCGEEGLfIgF0P7F7927Ab2GV6cesS4mg8UehU6lkwbZArqPxXL9lcKHRZNfRmG2qJe/c4RKOGoQjRs8VEEulKru9Zx6C9xehFlyMmnZQ3s1pD3QoSusrBGlX8/iK3Tz80S4MAy6eOYiTJg3AMhQhy2i3qnRbKhBEp9Oo6QfD5ANh2xbK6mkdCKEGDy2wYQPDDlAF2I4ilvbyqlh3N6UUVQGzU3OehRBCCCGE6MskgO4nMi2sampqsgF0qQOylmVhGIpkMllwJFprSKc0lgVmq3mmrqtbekfvDQw9T7O73mHYKBulyitE1lnadcFNV2577y9CP/kAHHo0HH9awXWSZiBn3vOSbTH+8u4OtjalOWxUlEtmDaYu7N9uGoqI3YkrCeEIuGk/rXvkmM48lXytej8HLb/idXPaI92Do9FR28DuwbnxQgghhBBC9BQJoPuJhoYGDMPI9oDWWrdbQKwtwzAJhcKkUkkcxym4juNoPE9jWQqvpdBYpv9zRuMeF8eBusE92P85lazYpvTKj9B//T2MnYg6/6qCFwA8ZZC2/dTttKu59a1tvLahiaFRm68fPYKZw3LnSlcFzE5dSFCGgQ5Hobmxc0+mkGAo50/TUNQETWJpiKe7P4gO2wZBS+Y9CyGEEEKIfZME0P1EQ0MDVVVV2X7MuhOxkFKKYDCEYaRJp1MFU7o9D1KpvcsNI7eC8s5M/+fBJqqnUnTTXQ+gdVMD+tF74I0X/YrbV16LKtIrORWMkqnC9cyqPby2oYmzpg5kwdTavDTtcIl9jYtRdgAdCFbmIoEdQBWpvh22DJKO7tZ07qBlELH7RvVvIYQQQgghuoME0P1Epgd0Nn27C3GQbdsYhkEymUR3EImbbQKyndsdqmoMAkGjR0agdTrdpeJh2vPg9YXoR/8OyQTM/xjq5LNz2lXlCIVJYQCappTLw0t3MWtYhHMPzO/XbBmqMgFjOFr8Nscpve91m9Hn1pRS2IbquK91J9iGImyXNwdcCCGEEEKI/kgC6H6ioaGBiRMnll1ArChtEGuyMa1ku92TWqdvu65m906X0eP9ebY9UmC5CyOzeuNa9H1/hnWrYOJU1HmfQA0bVfwOpoVjh3CSfsD6yNJdxNMeF87ID54zhbIqQSkFkarCz8FxoGlPxxsxbX8udTsCliJZYixeCqslcA5I4CyEEEIIIfYTEkD3A4lEglQqlTsC3YlB2ViTx45taXZsddhZ76I9MAwYPgZGj1NYdm5E3Hb+855dLp7Xkr7dAwXEtOdBuvzq2zoeQz95P7z0DESrUZd8FuYc1fH+hiKkWy5M7GhO88yqPRwztprRA/KvMERso0eqTCvLQgdCkMrv5Z0j2HEPadtQKKUKpu6XwzQUYUvmOgshhBBCiP2PBND9wJ49/ghkTU1NNgAqNQZqanDZuM4PmmPNftQdrTIYMz5A3WCTrZscNq1Ns22jZvQEGD56bzurzPxnrTWNezw2rEmhFAwcZBVseVVx6RTltHbSWsM7r6EfuguaGmDufNTp56Ei7aRIZygDZdsk436Btfs/3IlC8fECqdu2aRDqyeAxFPZfi2Lp9oZRPCW9lUwad6qLadyl9rsWQgghhBBiXyMBdD+Q6QE9YMAAgA6DZ9fVbNvssGFNit07XZThV80eMzHA4KEWkeje4G/IcJuxE22WLomzZrlm83oYOwkiUWhu9NizK8auegenpYvUyDE2lq16pv9zGb2f9bbN6Pv/Ais+gNHjUZ+6DjVmQumPZQdIuX7P5LW7k7yyvokzp9RmW1VlKKWIdqZlVRcow0CHIhBvKrxCMFzytgKmItWFNG7bUBI8CyGEEEKI/ZYE0P1Apgd0JoAulr4da/LYsDbFpvVp0ilNOGow+cAgI8fYBILFg76aWos5cyNs2RRj7QrN8iWZCD1NOKIYOsKmbrDFwEEmobC/ne4uIFZq72edSqL/+TA895hfhfrcT8Dceagyd9CzbOJpD601f1tcT1XA4IwptXnrRXsodbstFQyiU8n810QZtDuJvY2u9me2pL+zEEIIIYTYj0kA3Q80NDQQCAQIh/2RxkKZvLvrHRa9HANgyHCL0S0p2qXOUzZNkyHDggwYmGTndvA8xbAREcKRwoFot6dwl1A8TH/wDvqBO2DXDphzNGrBRajqAWU/lKcUTZ6B42mWbIvz4fY4lx40KK/CdsDs5Xm/4Uh+QbFAsKy56IZS2KZB2u1cZXMpGCaEEEIIIfZnEkD3Aw0NDW0KiOXncK9alsQOKI48IUoo1Lkgx7ZtXNdl0FAX27YJBApvp0fSt9vp/ax37UA/eCcseRuGjUR94ZuoSdM69TCe1jRqG9fzeyT/bXE9Q6IW8yfkBuKGUkSLvB49xS8o1rpntGq3dVUxAVOR7kQat6lUl3peCyGEEEII0d9JAN0PNDQ0MHDgQAzDQHv5BcQa9rjUb3c5YHqw08Ez+PN7g8EAiUQiW0CskO6eA1us97N2HFj4BPrpfwCgPnYhHHcqyurc29jTmsaUxo347Z9eWdfIhoYUXzh8WF6gGA0YfWPubygC6bSfhhAIlJ2qDv485s6Q9G0hhBBCCLG/kwC6j9Na09jYyLhx4wAolHm7ZnkSyyLbn7krDMPEtm1Ms50AursHYgukb+vVy9B//xNs2wQz56DOvgw1cFCnH8LTmoaUxlMKTIuU63HfhzuZMDDIYaNyq3YHrb7T69gvKBaGeHNZxcNaMw2/Gne6zF7iAQmghRBCCCHEfk4C6D6uqakJz/NaFRDLDXpiTR5bNzmMPyCAbZcX4Fi2wjTAdf3K3ZmRbdtuPxDvzhTuQr2f9Z5d6N//DKpq/OraB87u0mNkg2etwfYLcD29cg+74i6fPXRYzkhz0DKoChS/mNAbVDCE9jxUOxc5OmKbBmmv9DzuTAssIYQQQggh9mcSQPdxeRW428Q8a1YmMQwYO7G80WelwDT9wMgy/GDadTWuq/Meo61uLSCWStK297N+8gHwXNTn/w01aGjObY6niTnljaR62g+iAbADNCZdHlm6m4OHR5g2ZO+obl8MnjNUONKl+wdMRazjIudZlqHKKlYmhBBCCCHEvkgC6D5uzx6/6vKAAQPw3NxAMZnw2LQ+zcgxNsEy5z6bVn5AZJoK01RorXEccAsEpt06+uw4kIjnLtuyEd54AY49JS941lrTlNZ7g+FyGSaYJg8v2UHC8bhgxt6U8JBlEO2jwXMlmIbCNBRuiWnckr4thBBCCCEE9I2JnaKo3bt3Ay0BdJv5z+tWpdAejJ9Ueh9g8EefLat4QKSUwrYVgaDKm+/cXaPPWmt/Xm/b0edH74FgCHXSWXn3iTtdCJ4BbJttzWn+uWoPx42rZlSNP4q/rwfPGeUExZK+LYQQQgghhATQfV5DQwPRaBTLsnJGC9NpzYY1KYaNtIhUlXcYrRLnShuGIhA0sAOKzGB1t8VRiTi4Ts4ivfIj+PBd1IlnoqJVObelPU3C7ULwDGAHue+DnZiG4pzpdcD+EzxD6T2dM6PVQgghhBBC7O8kgO7jGhoaqKmpQWuNbjUCvWFNCseB8ZPLH302y0zHNU1FMGRg2fkj0pWgnTQk26Ruex764bthwEA49pTc27SmOd3F4Nm0WL0nxesbmjj1gFoGhi2C+1HwDP68ZrOEec0y+iyEEEIIIYRPAug+LhNAt07fdl3NulUpBg0xqRlQXsBX6uhzwftaClXhYEprDbHm/BveewM2rEGdfh6qTVXw5q6mbgPatPjb4nqqAwZnTK4FIGztfx+HQDup/Nl1ZP6zEEIIIYQQgATQfZrjOMRisZYCYnuXb1qfJpXUZY8+G0b5o8/dLh7LKy2unTT6sXthxBiYc3TObSlXk+pq6jbw3k6XpTsSnD29jrBtYJvGfpmmbHeQUuBXad//XhchhBBCCCEKkQC6D2vdwirT/9nzNGtXJKmpNRg4qMzR5xJGG3uSTqchlci/4ZVnYed21JkXoVoFeF4lUrcBV1nc88FOhkVtThhfA0Cwr11Y6CG2qQi1M/JuS/sqIYQQQgghsiSA7sMyAXRNzQAyGctbNqSJxzQTJgfLCmwMA4w+FCRqz4N4U/7yeAz99EMweQZq6syc22KORtP1APqlrWk2NaY5f0Zdtr/x/pymHA2YhO3CXwX78+sihBBCCCFEW9IHug/L9ICurvZHSZMJj2VLkgwYaDJkeHmHritzn7tCNzeR138LQHsFl6efeQQz3kz81PPxUntv1xrcAvOePa2JFehXXUxaGzywvIFJA4McOjIK+EHi/j7KGrH9bIZ4OveYSPq2EEIIIYQQe0kA3Yc1NDRgWRbBQBit4aP3Eziu5sDZofJGn83u69/cHp2IQTpZ2rpOGvfZxzBffIL0QXNJDR8LXvuB8TvbU9y5LMaORIEAvQNfOHxY9jUMltjOaV/XNoi2pH2VEEIIIYQQOSSA7sP27NlDdXU1Wiu2bkqzbbPDAdODVFWXN/e5NwqHaceBRIH5zYXWXbYEff/tGDu2kppxKPGPXdzu+jviLncui/HOjjQjoyaXTI6U1p/atMAOMLzKZsrgsL/IUNiSppzVOoiW10UIIYQQQohcEkD3YXv27KGmpoZUyuOj9xJUDzAYNynQ8R1b6Uzf567yW1M1QQfzlfWeXeiH7oJ3X8cbNJTYJ7+KM3lm0fUdT/PEugQPrfZ7Rl94QJhTxoRKSzM2LYhUQ5tVZY5vvkwQ3VGFbiGEEEIIIfY3fSaAfvnll3n//fcZMWIEK1as4MQTT2T27NlF19+yZQv33nsvY8aMYdu2bUSjUS666CJMs7zR2b5Ka01DQwMjRoxi2eIk6bRmzlGRslOxe6VtVSIOnotOJWHZkrw2VQDs2Ib+58PgOngnf5yGo09DWxZLd6VpSuUH3glX89jaOJtjHocOsbl0SoS6UKnHWkEokhc8g6RvF5MJooUQQgghhBB79YkA+p///Cf33HMP//u//0soFKK+vp6vf/3rfOtb32LatGl569fX13PDDTfw2c9+lsMOOwyAH//4x9xyyy187nOf6+nd7xaJRIJ0Oo2ho2zekGbilADVA8oPaowejoO0k4ZkHL34LfSDd8Lu+uIrT50FH7+cpuohbG5y+Mv7jXy4yym6+pCwwVcPruKgweWNwhMMQYELK/tr72chhBBCCCFE5/R6AB2Px7n99ts55ZRTCIVCAAwaNIhDDjmEW2+9lZ/85Cd597nnnnsAOPTQQ7PLTjvtNH74wx9y6qmnMn78+B7Z9+6UaWFVvy1E3QCDCVOCZW9DGT1bPExrjV6/Gv3AX+CDd2D4KNSnvw61A/NXNi0YPIydSY/7VzTz2NoEAVNx+ZQIUwcWeFsGwwyrCWNrBxwXvHTh6t55j2P7AXQB+2vvZyGEEEIIIUTn9HoA/e6779Lc3MyUKVNylk+ePJmXX36ZdevWMXbs2Oxyz/N45ZVXmDVrVk4l6smTJ6O1ZuHChftEAJ1pYYVbxYGzw50KhHsyfVun0+hH7kY/+QAohVpwMRx7Msos/hZ7ZXOSWz5oYkfC46jhAS46IMKAYIGU6nAU7MyoswmZ//U8cDMBteP/fw4F4UjBx97fez8LIYQQQgghytfrAfTq1asBGDx4cM7yIUOGALBy5cqcAHrr1q3E4/G89aPRKOFwmJUrV3bzHnfObbc+jOM6FGhlXJDrNAIQV83c+8zCTj1mj9aA2rkd4kk49EoYPxkVDMGH8aKrb2p2eWdHmhERg2/OqWbqQLvAWgoiUbAK3Yb/BI0AZG72tB9IOw64Lth20RdBej8LIYQQQgghytXrAXRjox8oZtK3MzJ/Z0diO1g/s6zt+gBPP/00Tz/9NAA/+tGPGDlyZNd3vEz/8e19Y262KF1vvM9E75Bjvf+QY73/kGO9/5BjLYQoR6+XILYsP4ZvOxqY+Ttze0frAxiGkbc+wMknn8yPfvQjfvSjH1Vknzvr+uuv79XHFz1HjvX+Q471/kOO9f5DjvX+Q461EKJcvR5A19bWAn7V6dYyf9fV1ZW0fmZZ2/WFEEIIIYQQQohK6PUAeuLEiYDfmqq1HTt2AOQVBKutrWXgwIF568fjcZqbm/eJAmJCCCGEEEIIIfqeXg+gZ82aRXV1NcuXL89Zvnz5ciZNmpQ3L8UwDObOncuKFSvy1gc4/vjju3eHu+Dkk0/u7V0QPUSO9f5DjvX+Q471/kOO9f5DjrUQoly9HkCbpsn555/PwoULSaVSAOzatYtFixZxwQUXAHDLLbfw7W9/G8fx2xSdddZZxGIx3n777ex2nnzySebOncvo0aN7/kmUSL6k9x9yrPcfcqz3H3Ks9x9yrPcfcqyFEOVSWpfaWKl7PfnkkyxdupSxY8eycuVKjj32WI444ggAfv7zn7N69Wp++tOfEgwGAVi7di333nsv48ePZ/fu3ViWxaWXXoptF2l5JIQQQgghhBBCdEGfCaCFEEKIvsRxHFatWkV9fT1z586V3vFCCCGEkAC6J7z88su8//77jBgxghUrVnDiiScye/bs3t4t0QWO4/Dggw/y/PPPs2vXLkaNGsWFF17IoYceml3n/fffZ+HChYwZM4bVq1dzyCGH9Ok5+qI0f/vb39i+fTtf/vKXs8vkM75v2bVrF/fccw9bt27lrLPOYsaMGdnsJvlc7xs8z+Phhx9m9+7dRCIRNm7cyPTp0zn11FNz1pPPdv+0e/duHn74YQYOHMiZZ56Zc1spn2E57kKIdmnRrZ555hn9hS98Qcfjca211jt27NCf/OQn9YcfftjLeya64rbbbtN/+tOf9Kuvvqofeugh/ZnPfEZfdNFFesmSJVprrd955x39yU9+UtfX12uttY7H4/pzn/ucfvHFF3tzt0UXLV++XF966aX65ptvzi6Tz/i+ZcWKFfqzn/2svvPOO7Xrujm3yed633H33XfrH//4x9m/0+m0vuaaa/Qrr7ySXSaf7f7prbfe0jfeeKO+8MIL9d13351zWymfYTnuQoiO9HoRsX1ZPB7n9ttv57jjjiMUCgEwaNAgDjnkEG699dZe3jvRWTt37iQQCPDJT36SI488kgULFvDNb34TrTXPPvssnudx6623MmfOnGxf8lAoxPHHH88f//hH0ul0Lz8D0RnJZJLHH3+cAw44ILtMPuP7lh07dvDDH/6QmTNncumll2IYe38i5XO9b3njjTcYNmxY9m/Lspg4cSJLliwB5LPdnx1yyCFceOGFectL+QzLcRdClEIC6G707rvv0tzczJQpU3KWT548mTVr1rBu3bpe2jPRFXv27OGcc87JWXbAAQdQVVVFc3Mzq1evZvPmzUyePDlnncmTJ7Nnzx7ee++9ntxdUSF33303559/fk5QJZ/xfcudd95JU1MTl19+ed5t8rnet9TU1PDqq6/S1NQEgNaatWvXMnHiREA+2/1d6+/pjFI+w3LchRClkAC6G61evRqAwYMH5ywfMmQIACtXruzxfRJdN2HCBKLRaN7ydDrN1KlT5bjvg95++22GDx/OiBEjcpbLsd53xGIxXnnlFQYPHsyDDz7IDTfcwFVXXcWPfvQjtm3bJsd6H3PxxRfT0NDADTfcwIoVK7jllls4+uijmTdvHiCf7X1RKcdUjrsQohQSQHejxsZGgGwaUEbm7z179vT4PonusWzZMoLBICeddFL2uIfD4Zx1Msd99+7dPb17ogsaGxt55ZVX8ooLZW4D+YzvC1asWIHruowaNYrLL7+c733ve/zkJz9h/fr1/PjHP85+buVzvW+YMmUK3/72t9m9ezf//u//TiKR4Pzzz89WWpfP9r6nlN9mOe5CiFJIAN2NLMsCyGt9kvk7c7vo/+6//34+//nPU1VVla3WK8d933DnnXdyySWXFLxNPuP7joaGBgBOOukkgsEgAEOHDuWcc85h/fr12fXkWO87tm7dyuGHH8706dNZuHAhP/jBD0gkEoB8tvdFpfw2y3EXQpRCAuhuVFtbC5D9Qc7I/J0pYiH6t8cff5xZs2Zx+OGHA3Lc9yXPPfccM2fOLHrM5FjvO6qqqoD8uZOZObGZ5XKs9w1PPvkkzzzzDJ/73Of47ne/ywUXXMCSJUu48847Afls74tKOaZy3IUQpZBLad0oc+JVX1/PuHHjsst37NgBwPjx43tjt0QFvf7668Tjcc4999zssgkTJgB7j3OGHPf+5/nnn2fFihX85je/yS5LpVIsXbqUV199NXvc5TPe/40cORLIT9GMRCI5/5XP9b7h3nvv5ZxzzsleGLnooovYuHEjL7/8MldffbX8fu+DyvltluMuhGiPBNDdaNasWVRXV7N8+XLmzJmTXb58+XImTZqUPWET/dO7777LunXruOCCC3KWO47DuHHjWLFiRc7y5cuXU1tby0EHHdSTuym64NprryWVSuUsu/HGG6mrq+OKK64gHA7zyCOPyGd8HzB06FCmTJnC4sWLOemkk7LLd+7cCcD06dPlc70PcRwHz/Nylh144IF88MEHgPx+74tGjRrV4WdYay3HXQjRIUnh7kamaXL++eezcOHC7En4rl27WLRoUV7QJfqXDz/8kL///e+MHj2aV199lVdffZVXXnmFP/7xj+zatYsLL7yQN954I1tYKJFIsHDhQs4777yC7TVE31RXV8fw4cNz/gUCAcLhMMOHD2fAgAHyGd+HXHjhhSxatIitW7dmlz3//PMce+yxjBs3Tj7X+5DjjjuOV155JSeIXr58Occddxwgv9/9neM4gN+erLWOPsNy3IUQpVC67beLqLgnn3ySpUuXMnbsWFauXMmxxx7LEUcc0du7JTppzZo13HDDDcTj8bzbhgwZwk033YRhGNnAesKECaxdu5YDDzyQk08+uRf2WFTSd7/7XYYMGcKXv/zl7DL5jO87Xn/9dZ566ikmTJhALBYjFApx8cUXZwsQyed63+A4Dg888ABr165l1KhRJBIJqqurOeecc3IKRclnu/95//33eeKJJ3j99dcZNWoU559/PnPmzMlOwyjlMyzHXQjRHgmghRBCCCGEEEKIEkjOmRBCCCGEEEIIUQIJoIUQQgghhBBCiBJIAC2EEEIIIYQQQpRAAmghhBBCCCGEEKIEEkALIYQQQgghhBAlkABaCCGEEEIIIYQogQTQQgghhBBCCCFECSSAFkIIIYQQQgghSiABtBBCCCGEEEIIUQIJoIUQQgghhBBCiBJIAC2EEEIIIYQQQpRAAmghhBBCCCGEEKIEEkALIYQQQgghhBAlkABaCCGEEEIIIYQogQTQQgghhBBCCCFECSSAFkIIIYQQQgghSiABtBBCCCGEEEIIUQIJoIUQQgghhBBCiBJIAC2EEEIIIYQQQpRAAmghhBBCCCGEEKIEEkALIYQQQgghhBAlkABaCCGEEEIIIYQogQTQQgghhBBCCCFECSSAFkIIIYQQQgghSiABtBBCCCGEEEIIUQIJoIUQQgghhBBCiBJIAC2EEEIIIYQQQpRAAmghhBBCCCGEEKIEEkALIYQQQgghhBAlkABaCCGEEEIIIYQogQTQQgghhBBCCCFECSSAFkIAEIvFOPzww5k8eTJbtmzp0rbi8ThPPfUU//qv/8rkyZNZt25dzu1btmxhypQpHH744cRisS49Vke01px99tmMGDGC999/v1sfq1SLFi3iL3/5S2/vhhBCCCGEKJME0EIIAJYsWcKiRYtYsWIFL774Yqe34zgOP/3pT/n5z3/Oz372M1asWIHneTnrvPjiiyxfvpxFixbxwQcfdHXX21VfX89DDz3Eli1beOKJJ7r1sTryzjvvcM4553D44Yfz9NNPd7j+qlWruPrqq5k9ezbHHHMMM2bM4D/+4z9obm6u6H1a++CDD5gwYQJKqZx/hxxyCD/60Y8K3ufb3/42M2bMyK5bV1fH3//+95IeTwghhBCiP1Faa93bOyH2b1u3bmXYsGG9vRsVU+nn01Ovj+M4XHHFFTQ2NvLXv/6VmpqaLm1v165d1NXVAbB69WrGjx+fvW337t1ceuml1NXV8ac//QnLsrr0WB35yle+wnvvvcef//xnxo4dm3d7d7/G27Zt409/+hPbtm3jd7/7HQ0NDVx55ZX88Y9/LHqfN954g5NOOomTTjqJO++8k3A4zOrVqznxxBOpqqpi4cKFDBw4sMv3KURrzb/927/xs5/9DIDZs2fz9ttvt3ufPXv2UFtby6xZs3jhhRcYMGBAxy9MHyLfQ6Jc8hoLIcR+SgvRixoaGvRJJ53U27tRMevXr9fnnXdexbbX318fQAN69erVvb0rRfXEa+x5Xvb/L774Yg3oK6+8suj6mzdv1kOHDtXV1dV6x44dObc9+uijGtBnnXVWl+/TnkQioceNG6cBbdu23r59e7vrL1u2TAP6qaeeKvkx+oq33npLf/7zn+/t3aiYhx9+WH/ve9/r7d3Yp1X6u14IIUT/ISncold9+tOfZsWKFb29GxWRSqW45JJLqK+vr9g296XXp6/qiddYKZX9/1Ao1OH6//M//8O2bds4//zzGTRoUM5tp59+OmPHjuWhhx7i2Wef7dJ92hMMBvnmN78JQDqd5ve//3276//973/noIMO4uSTTy5p+33F7t27ufjii0kkEr29KxWxdu1arrrqqrxpE6JyuuO7XgghRP8hAbToFZ7n8dWvfpV77rmnt3elIhKJBJdffjkvvfRSRba3r70+7dFFZpEUW16px+qrr7HruvzhD38A4KSTTsq7XSnF/PnzAbjllls6fZ9SfOpTn2Lo0KEA3HTTTaRSqYLreZ7H7373O774xS+WvO2+YPfu3Zx99tksX768t3elIjZs2MAZZ5zBjh07entX9lmV/q4XQgjR/0gALXrF7373O5577jnAr8g8b9485s2bx+23355dp7GxkR/+8Iccc8wxnHzyyYwZM4a5c+fyj3/8I297u3bt4uc//zkXX3wxALfddhsjRoxgwoQJrFq1Krue1ppf/OIXHHPMMRx99NFMmTKFb3/722zYsKHovn7wwQd86lOf4mMf+xhjxoxh6tSp/PCHP8RxnOw6P/rRj7IVnt95553s83nqqae65fXxPI/HHnuMj33sY3zwwQcsX76cY445hqqqKn71q19lt/Puu+9y5ZVXcsIJJ3D00UczcuRILrvsMtavX5/3mKlUigceeIALL7yQV155pVP7Xao1a9bwk5/8hDlz5rBw4cLs8ieeeIKvf/3rHH300VRXV9PQ0MAvfvELLrnkEo4++mhqamo488wz2bBhA6lUiltuuYXrrruOgw46iNraWq677rq8kbfdu3dz2223cfrpp/Pf//3f2eWlvAd7w3vvvUdDQwMAM2fOLLjOQQcdBMDjjz/e6fuUIhQKcd111wGwefPmoq/No48+Sn19PVdccUXB2yv1WX7rrbcYMmRItliZbdscccQROfe/5JJLME0TpRTXX399u8/v+uuvz1aIf/zxx7PvgdbV2letWsU111zDsccey/HHH8/IkSM5++yzWbJkSd72Vq5cyb/8y7/wX//1X7iuy3XXXceAAQM48cQTc74vGhoauO666zjmmGM4+OCDOeKII/j1r39NU1NT0X19+OGHufDCCznppJMYNmwYc+fOzSnU5jgOX/va19i5cycAf/zjH7PPZ/v27e2+Du1JJpPcd999fOUrXwH8Y33UUUcRiUQYO3Ys3/nOd0gmk3n3i8VifP/73+ecc85hzpw5DBs2jMsuu4w1a9bkrfviiy9yySWX8MQTT7Bt2zbOOOMMqqqq+Na3vpWz3nPPPcfZZ5/N/PnzmTt3LnPmzOHmm28mnU7nbbOU7+1t27Zx++23c8UVVzBs2DCam5t5+umnszUDRowYkVc4r5Tv+q1bt/Ktb32Lo48+mvnz5zNq1ChOOumkdoszPvHEE5x44okcd9xxTJw4kauvvpo333yz6Pr19fX827/9G2effTYHHnggI0eO5Atf+IJcPBFCiJ7QuxnkYn/27LPPakCPGzcu77bm5mY9Y8YMPWjQIL1582attT9Xdc6cOVoppR977DGttdaO4+ivfe1ruq6uTgP60EMP1X//+9/10KFDs/Nvf/vb32a3+7nPfU5PnjxZ79q1S2ut9QMPPKABrZTSBx10kD7hhBP0TTfdlF3/0Ucf1TNmzNCrVq3SWmudSqX0+eefrwH98Y9/PGdu62233aYBfcIJJ3Tr63PXXXfpI444Ivv8nn/+eT1t2jRdVVWlAX3UUUdprbV+8skntW3b+hOf+ER2PxcuXKhN09QTJ07UsVgsu81f//rXeubMmdltPvvssxV5DhSYA/3zn/9cn3LKKUUf67333svedt555+k33ngje9t3vvMdDeg5c+boK664Qq9fv15r7c8xvuKKKzSgf/GLX2TXf+ihh/Tll1+ubdvWgL7hhhtyHqu992B3ufLKK9udA/2nP/0p+/y3bdtWcJ277roru87GjRs7dZ9S7dq1S1dXV2tAT5s2Lec9n3H66afrL37xiwXvX+nP8ubNm/WgQYM0oK+66qqCj3nmmWeWPKf5hhtuKHo83nvvPV1dXa3nz5+vU6mU1lrrjz76SFdVVemBAwdmn8/KlSv1lVdeqU3T1ID+l3/5F33ttdfqIUOGZPd96dKl2dfjkEMO0RdddFH2tfza176mAR0IBPRRRx2lTzjhBP3CCy9k9+M///M/9YIFC3Rzc7PW2p/vPmXKFA3on//85zn7nHl/tX2vd8aXv/xlXVtbm/2M3Hzzzdq2bT127FgdDAazz+3ss8/OuV99fb0+5JBD9J/+9KfssnvvvVcDetCgQXr58uVaa62feuopffLJJ2e3c++99+q5c+dmH3PEiBE5r8GBBx6oly1bll127rnnFnz8Ur+3ly5dmv3ezhy3a665Rr/++uv6nnvu0YMHD9aAfuSRR3K23953/aZNm/TIkSP1tGnTdENDg9Za6y1btujRo0frQCCg33333bz7/OUvf9GBQEC/8847Wmv//ZT5HIwbN06fcMIJ+tOf/nR2/dWrV+spU6bk1Bv42c9+pgE9adKkDusVCCGE6BoJoEWvaS94yZxsjRkzJmf5//7v/2pAX3zxxTnL//jHP2pAjx07Vn/jG9/Qruvq22+/XR911FHZE9enn35aA/r73/9+zn2PP/54DeivfvWrOcs3bdqka2tr9X333ZezfPHixdkTrkcffTS7vKcCaK21jsViOhKJZE8I161bp1etWqVPOeUUfeONN2qttT7rrLM0oL/zne/k3Pfggw/WQDZwyWhqatKhUKjbA2it/YB3wIABBR/LcZzs/RYvXpxz26pVq7K3tT0Rfe655zSg586dm7cfmdeinAA6E4h05l97BcI6CqB//vOfZ7eTSCQKrpMpCgbot956q1P3Kce//uu/Zu/74IMP5ty2cuVKbRiGfu+99wretzs+y//5n/+ZPW6u6+bcP5lM6oEDB+a9d4ppL4C+9tprNaA/8YlP5Cw/55xzNKB//etf5yy/6qqrNKBnz56t//znP2vHcfQ3vvENfcYZZ2QD8G9/+9sa0AsXLszer7GxMft5fuCBB3K2+cgjj+hgMJgN1jNuvvlmDehwOKzr6+uzyysZQKfT6WxgFgqF9Oc+97nsBZr6+nq9YMGC7PvizjvvzN7voosuygtqtdb6sMMO04C+6KKLsstc19UTJ07UgJ43b55+99139fbt2/V5552nr7/+eq211n/4wx+0Ukq/+eabOdu77777so+fCRrL/d5OJpPZ5bfcckvOfX784x9rQJ977rk5y9v7rs+8Xscdd1zO8uuuu04D+pvf/GbO8p07d+rq6mp94okn5izPvMdnz56ds9zzPH3kkUfqr3zlKznLXdfVw4YN04D+xje+kbdfQgghKkdSuEWfNHv2bKZMmcLpp5+es7y2thYgL00t05po586dfP/738cwDK644gpefvllpkyZAsBf//pXAIYPH55z30suuQSAl19+OWf5TTfdRHNzc94+zJgxI9sK6MEHH+zsU+yScDjM4MGDAbjgggsYM2YMEyZM4Mknn+Taa68F/MJRY8aM4aijjsq5b7HXMBqNZue7djelVHY/2jJNM2efWhs1alT2/9u22RoxYgQAH374Yd42M+20yjFixAimTp3aqX+ZfemM1v2aA4FAwXWCwWDO+p25Tzm+9rWvZbf7k5/8JOe2X//61xx11FHMmjWr4H2747N8zTXXEAqFWLt2LQ8//HDO/Z944gnGjh3LjBkzynqOhZx00kmMHj2aE044oax9Hzx4MJ/4xCcwTZMf//jHPProo9i2DRT+HqqqqmLBggVA/vfQD37wAw477LC8763jjjsOgHg8zpNPPtmVp1mUZVnMnj0bgOrqan7zm98wZMgQwP9M/fWvf82+FrfeeisAS5cu5Z577uGss87K215mn1t/bxqGwejRowE4+eSTOeiggxg8eDD33nsvP/zhD0mlUlx//fUcf/zxzJkzJ2d7Z511Ftdddx033HBD9vuw3O/t1p+XE088Mec+mfd062lAHTnmmGMYN25cXjG9Yu+ZRx55hMbGxqK/S++88w6xWCy7/KmnnuK1117Le30Nw+Doo4/Oe35CCCEqr3ubrwrRSRMnTmTp0qXZv1OpFA8++CB33nknQM48Nthb5XjQoEE5gUJrmbmOmTmCGZk5o7t3785Z/sgjj2AYBmeccUbetgYPHkxNTU3BuXc9JfOcWweVrX3pS1/iS1/6UvbvTZs28Ze//CVbcbrta9h6m31VseCw9W2ZucBd9cMf/pAf/vCHFdlWOSKRSPb/0+l0wefc+n0XiUQ6dZ9yjBw5kk984hPccsstvPTSS7zyyiscddRRJBIJbr31Vm688cai9+2Oz/KQIUP45Cc/ye9+9zt+8YtfcPbZZ2dvu+uuu4rOxS7XOeecwznnnJP9e+fOndxxxx289tpr7e57sc8ktP899Le//S3ne2jnzp28+uqrDB06lHnz5uWs73ke48aNA/w55t3FMPzr7JFIJO/7oaqqiquuuor/+7//46233gL8OdJaa26++Wb+8pe/5Kzf0NCQ3eddu3ZlA9r2Xrfnn3+eHTt2cOCBB+bdZlkW//d//5ezrJLf2+FwGPB7nJfqyCOPzJnn3dzczN/+9jcee+wxIP89U+z9MHXqVCzLwnEc9uzZk/3MPvLIIwB8+9vf5gc/+EHOfXbu3Mm4ceNyLkIKIYSoPAmgRZ+2e/dubrrpJrZs2cLll1/OZZdd1unCXJkRimXLluUsz4y6tj15W7lyJXV1ddlCU/3V22+/zW9+8xvGjRvH1VdfzaOPPsrGjRt7e7e6je6G6t09qfXodVNTU8HR89bFpkaMGNGp+5TrG9/4Brfddhue5/GTn/yE+++/n7vuugvDMLjgggs6vH8lP8sA//Iv/8If/vAH/vnPf7J48WJmzpxJLBbj4Ycf5n/+5386vd1CVqxYwY033khNTU22uNNHH33UqW0NHjyYzZs3s2zZMo488sjs8kLfQ6tWrUJrzYknnpi94NDXZIrTZYL4lStXAn6mwqmnntrl7WcySjLBdke643u7M98pmzdv5he/+AXpdJqrrrqKM844g9dffz1vvWK/S4ZhMHjwYHbt2pXTli7z+v75z3/OZmQIIYToWZLCLfqsBx54gKlTp3LggQfyy1/+Mpue1lmZUar7778/p+drpiL1eeedl7N+KpVi165d/bafaiqV4ktf+hJXXHEF3/3ud/n3f//3vDRB0fe0rqJd7ELHpk2bAH+UdsSIEZ26T7mmTJnCxz/+cQD+8Y9/sGzZMn75y19y9dVXFx0pzqj0ZzmzP5k01swI+MMPP8xhhx3GyJEju7x98AOn733ve8yfP58vfelL/OAHP2DixIld2mbmeyiTyp2xfv16lFLZ1xjItg3ry5WVM++lTIBb6X3OXPgp1DmgkL7wvf3b3/6Wgw8+mLPOOouf/exnRac3AJxxxhlYlsWqVatyAux4PE59fT0LFizIySjpD+8JIYTY10kALfqkZ555hvPPP59TTz2V888/vyLbvOSSS/jMZz7Drl27uOaaa0ilUsRiMf7rv/7r/7N33uFRVfn/f987LZUkpBAICQmQQi+hF+ksoIgr4qrYWGVFd79r29VVcVXcdW2sv0XUFfuyNhYEgQVXE6rUJAQIkEAIhAAhQEjP9HvP74/hXmYmU+5MJgXyeT1PHmXmlnPLOXPe59Mwa9YsPPLIIw7bx8XFwWg0Ijc31+0xy8vL2+1EZuHChfjggw+wbNmyZsXkdlSee+45ZGRk+PXnXH7HF/r37y9bI48dO+ZymyNHjgAApk2b5vc+/vDss88CsLkPP/jgg8jLy2vSb5xpib4s8Yc//AEA8OWXX6Kqqiqg7tsA8PLLL8t/GRkZATnmG2+8gaFDh2Lz5s1yTe7Tp0/jk08+wauvvipbdIFrVunc3FyHRT9nCgoK2szzQnI9HjJkCIBrbfZUsgmwlV5TghRz/dNPP7kMOwFsCx1Sqa62Hrc/++wzLFq0CI888gjGjh3rdfvExESsWLECarUajz32GC5duiQv3HTv3r2Ji7qS+2u1Wt2OAwRBEETzIQFNtBlSbJ0rS8Hrr78OURTRu3dvh8+l+EB/J4srVqzAjBkzkJ+fjzFjxmDWrFmYO3cu1q9fLyf5kZCSbz333HMu26jX63HffffJ1jdP1+MPzTneuXPn5Jq9gb6HNxKe7vGFCxdw/Phxv/4uXLjgd5s4jpNFoDs31K1btwIA7rvvPr/38YcRI0Zg0qRJAIA9e/bgF7/4hVeLbEv1ZQAYN24cRo4cCb1ej6VLl2Lr1q0+i3R374DZbMbbb78NILB9KCIiAv/73//Qs2dPfPjhhxg1ahQee+wxfPbZZ3jhhRcctu3VqxdiY2NRXV3dpB6xxPHjx/HSSy/JccSBHoe8IcW3S0mvpHHzs88+c5nQD7C5d+fn5ys6/rhx4wDYarUvXbrU5TZ/+9vfZM8LX8dtf/B0j6Va8768MwsWLMArr7yC+vp6zJgxA+PHj4cgCMjLy5MTrElI17d06VJcunTJZft+//vfN6v2N0EQBOEZEtBEmyHFaV65cgWCIAC4NiGRBMi6devkBC6FhYX44osvAAClpaUQBAFXrlxx2M+dhQKwJa2ZPXs2/vjHP2LPnj3Yu3cvsrKysGjRInlCZI9kWduyZQvmzZuHc+fOyd8dOnQIEydOxMyZMxEeHu5wPRcvXpS3a84k1tP9sf9/V9dcUVEhT9Q+//xzeftPP/1UTiJ28uRJCILgU4IcXzCZTPL/S+23R0rk45zQx1OCH/vjOFvk7PdznqS6O5ene/z555+D2Ur9+fwn3XNXGAwGh/O44qmnnkJkZCRWrVrVJCna1q1bUVxcjNGjRzskSvJnH3+QrNAA8Oijj3rdviX6sj1//OMfAdiE+rRp05pkZ/eGu35bV1cnZz9euXKl3K6NGzfK1j+pL0lWWCVtP3ToEO699178+OOP2L17N37++Wds2LDBpWcAx3HyOLRkyRK88sorskszYwzr16/HpEmTHJ5JoMchCfv+LGGxWPDpp59i0KBBmD9/PgDgF7/4BZKTk2E0GjF9+nT89NNPcn+sqanBs88+i6+//trBU8DTfevTp48cS/3888/jL3/5i/x+19bW4vnnn8eFCxfkbOG+jtue7o3kLu2Mp3ssve/ffPONPEbt2bNHzowtvTP27/szzzwDnudx6NAh7N+/H9u2bcPf/vY3RERENDn33XffjU6dOuHSpUuYMmUKcnJy5O8uXLiABx54AGVlZU0yxxMEQRABpBVKZRGES4xGI+vcuTMDwF599VW2detWtnDhQma1WtnChQvl2pwhISEsMTGR9erVi61bt07+PC4ujj399NOMMcbeeustBoCpVCp28uRJl+ezr2Xr/BccHMwmTpzICgoKHPaR6sACYBzHsaSkJBYTE8MAsHvuuYeJoihvW15eztRqtVxPdPPmzezJJ59skftz7tw5ptVq3dZ7ra+vZ1FRUXLbu3TpwqKiotiiRYvYY489xgAwtVrN4uLiHGoC9+jRI2B1oO3rDq9du9bhu4qKCqZSqRgA9sYbbzh8t2/fPnm/n376yeG7oqIi+bvPP//c4buvvvpK/k6qF8yYrT7qwIEDGQA2a9Ysh2fm6R63BBcvXmTx8fEMAEtPT2cNDQ1ut92wYQMLDg5m8+bNYwaDgTHGWFlZGUtNTWUpKSlNamv7u48/DB48mCUmJiq6Ty3Rl+2xWq3ye+tco1oJ+/fvl+scr1u3jq1atUquFZ+amiq3MTo6msXFxbFbbrmFvfbaa/KY0KVLF/b9998zQRDYrbfeKj9bd/W4pVrIrv46d+7M7rvvPoe6znq9no0YMULeRqfTsZSUFBYWFsY4jmtSi3rVqlUMAIuNjWXZ2dlsxYoV7J///KfP90VCqpUOgP3pT39ijY2NjDHGzGYz+81vfsMSExObPKcdO3bIda2l60pKSmJqtZp1797dYfu6ujrWtWtXBoA9+OCDLttQVlbGkpKS5OOp1WoWExPDeJ5nN910k/yuS/gybpeWlrqtj/7+++8zACw8PNzhXfc01k+bNk0+XqdOnVi3bt3Y8OHD2aeffip/Hh8fz/7xj38wxhjbuHGj2/dBpVKxvn37Nqlp/e2338rjp9R/EhISGM/zbMCAAXJNbIIgCKJlIAFNtCmrVq1i3bp1Y5GRkeyBBx6QJ45Xrlxhd955J+vUqROLi4tjixYtkr/75S9/yUJDQ9mDDz7IysvLWUZGhsOkIygoiGVmZjpMQqVjTp8+nU2ePJn17duXde7cmQUFBTns2717d1ZfX++w36effsqGDRvGgoODWUhICBs9ejT74osvXF7PP/7xDxYTE8NiY2PZE088wfR6fcDvz+OPP96k3ampqWzlypUO+27dupUNGjSIBQUFsX79+rGPP/6YMcbYsWPHWGJiIktISGD//ve/HfYJlIAeNWqUwwRPo9GwzMxMVl9fz8aNG8ciIiIc2j9o0CBWXl7O5s+f7zDxDgoKYtOnT2eMMfbggw+yyMhIh8nl8OHDGWOM/epXv3I4X6dOndjDDz/MnnjiCda9e3eHc/Xo0YNt2rTJ4z0ONPX19Wzo0KEsODjYoS2dOnViw4cPZzU1NS73KygoYPPnz2eDBw9m48ePZwMGDGB/+tOfPLbRn3185euvv2avvvqqom1boi8789xzz7HOnTszs9ns1/U888wzLCIigiUkJLBXX31VFkuHDh1iY8eOZcHBwaxXr17sjTfeYFarlVVUVLC+ffuy6OhotnTpUrZlyxZZBNqLxjvvvLPJuY4dO8YyMjLYtGnTWM+ePVlERATTaDQO+86ZM8dhn4aGBrZ48WLWu3dvptFoWFRUFJs9ezb7+eefmxzfYrGwBx54gIWFhbFevXqx999/3697IiEJ6B49erD33nuPDR48mI0bN44NGzaMPf7446yystLlfocPH2Zz585l0dHRTKPRsJSUFPbkk086bP/mm2+ysLCwJv3zzTffbHK8iooKtmjRIta1a1em0WhYamoqe+2115jJZHJ5fiXj9ubNm9moUaPkcw8ePJh99NFHjDHG3n77bVl0A2CzZ89mOTk58r7uxvrS0lI2Y8YMFhoayrp3787+9Kc/Mb1ezwwGAxs7diwLDw9nf/zjH5kgCIwx2/P605/+xIYMGcIyMzNZbGwsCwkJYTzPO4x1ubm5Dm3fuXMnmzFjBouIiGBarZZlZGSwl19+WV7gIAiCIFoOjrH2EQhZU1ODjRs3IioqCjfffLPHbQ0GA7799luEhYXBYrGgsrIS999/v0t3J4KQ+OKLL7B582Z88803Dp8zxtDY2IgjR47goYcewjvvvBOQ8ivXI8nJyThz5gx+/vlnRQlwCKI9sGjRInAchw8++KCtm+IRxhgWLVqEAQMG4He/+53Dd6Ioorq6Gtu2bcPDDz+M8vJyuQ5xW7Jt2zZMmjQJPXr0cKhvTASG/Px8LFq0CNnZ2QgLC3P4zmg04syZM1i8eDFSU1Pl+GqCIAiibWkXMdD5+flYuXIl1q9fj8bGRo/bCoKAN998ExzH4Y477sDdd9+NlJQU/OUvf/EYO0l0bLZs2YKFCxfizTffbPIdx3EICwvDqFGjsGjRIod6uR2VyMjItm4CQSjCarVi3bp1ePDBB9u6KV5ZsmQJtm3bhscee6zJdzzPIzo6GnPnzsXkyZPlWHnixuXSpUuYOXMm/u///q+JeAaAoKAgpKen489//jP9LhEEQbQj1G3dAMBW/qJr167YuXOn12137dqFo0ePYuHChfJnkydPxpdffomffvoJs2bNasmmEtcpf/nLXxAdHY2kpCSP2126dAn33HNPQM89ceJEn/dxl0m5pTGbzdBoNHIG2c8//9xjQixXPPjgg9eFmCFuDD755BN069YNI0eObOumeMRkMuGNN97AnDlzXCYttKdLly5yoqpAcPDgQTzxxBM+7TN48OAmJZSIwPLPf/4TFy9exPDhwz1uV1pa2uzkfwRBEETgaBcCGoDXCYXE7t27ERoaim7dusmfhYSEoHv37tixYwcJaMIl1dXVqKiowK5du9y6Jm/btg3p6emIjo4O6LnbSgx7w2Aw4Msvv8Ts2bPRpUsXMMZQVVWFWbNmySVeSAwT7Y2vv/4aq1evxpQpUxAfH48//OEP+Ne//tXWzfKKXq+HyWTC9u3bceXKFbfjzHvvveewQBwIBg8e7Pc4JGWnd5WFm2ge1dXVAIA1a9bg+eefd7nN2bNnceDAAbz00kut2TSCIAjCA+1GQCvl9OnTiImJafJ5bGws8vPzYbVaoVZfd5dFtDAvvvgifvWrX2H69Ol4+OGHMWvWLMTHx6OmpgalpaXYtGkTbr/9dofSKjc6q1atwsKFC5Geno7s7GyUlpZCo9Hgr3/9a1s3jSDc8te//hVHjx7Fd999BwC47bbb8Mtf/rKNW+WdqKgoPPHEE/j73/+OwYMH47e//S1GjRqFzp07o6KiAoWFhfj555/x/PPPY8iQIW3dXJlDhw4BsHnnlJaWIjk5uW0bdAPxu9/9Dl9++SVeeOEFHDhwAPfccw+Sk5NhNptx7tw5/O9//0P37t2b1AcnCIIg2pbrTmnW19ejS5cuTT4PCgqCIAhoaGhoEr+ZlZWFrKwsALZaoUTH4/bbb0dubi7eeecdbNiwAR9++CFCQkKQkZGBm2++Ge+//37ALc/tndmzZ+PWW29FdnY2Bg8ejNGjR2PHjh3o169fWzeNINzy5JNPyrWf58+fj7feequNW6ScpUuXYtKkSXj//ffx7rvv4s9//jM6d+6MoUOHYt68efjqq6+g0WjaupkAgMbGRtx0003Iz88HYEtyNmDAAPTr1w9ff/01UlJS2riF1z+9evXC4cOH8e6772LdunW4//77wXEcevTogcmTJ+Ppp59GRkZGWzeTIAiCcKLdZOG+dOkSfve73+GOO+7AnXfe6Xa7Bx54AMnJyXjllVccPn/33Xexc+dOfPrppy6TcdhTXl4ekDb7SkxMDCorK9vk3ETrQs+640DPuuNAz7rjQM+649DSz9o+5JAgiBuDdpGF2xciIyNhNBqbfG40GqHVar2KZ4IgCIIgCIIgCILwh+tOQKekpLhcKaysrESPHj3aoEUEQRAEQRAEQRBER+C6E9BjxoxBfX09Ll68KH9mNBpx9uxZ3HTTTW3YMoIgCIIgCIIgCOJGpt0IaKvVCgBwDsnesWMHfv/73+PcuXMAgMzMTPTq1Qs//fSTvM2WLVvQuXNnEtAEQRAEQRAEQRBEi9EusnAXFBTgf//7HwBg7969SEhIwNChQxESEoLGxkbU1dXJNShVKhVeeOEFrFy5El999RXUajXKy8vx8ssvIzg4uC0vgyAIgiAIgiAIgriBaTdZuFsTysJNtDT0rDsO9Kw7DvSsOw70rDsOlIWbIAhfaTcu3ARBEARBEARBEATRniEBTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRAEQRAEQRAEQRAKIAFNEARBEARBEARBEAogAU0QBEEQBEEQBEEQCiABTRBEm8AYa+smEARBEARBEIRPkIAmCKJNMJvNMJvNbd0MgiAIgiAIglCMuq0bQBBEx0QURQiCAADQarVt3BqCIAiCIAiC8A5ZoAmCaHUYYxBFEYDNEm0ymdq4RQRBEARBEAThHRLQBEG0OqIoOsRAWywWEtEEQRAEQRBEu4cENEEQrY7kum0PiWiCIAiCIAiivUMCmiCIVkdy33aGRDRBEARBEATRniEBTRBEq+PKAi1htVqpxBVBEARBEATRLiEBTRBEq+Ic/+wMY8yjwCYIgiAIgiCItoIENEEQrYo79217SEATBEEQBEEQ7RES0ARBtCpKxDEJaIIgCIIgCKI9QgKaIIhWRYk4FkVRkaWaIAiCIAiCIFoTEtAEQbQajDHFwpis0ARBEARBEER7gwQ0QRCthi+imAQ0QRAEQRAE0d4gAU0QRKvhi1s2CWiCIAiCIAiivUECmiCIVsMXUUzlrAiCIAiCIIj2BglogiBaDV8Tg5GAJgiCIAiCINoTJKAJgmgVBEEAY8ynfaxWawu1hiAIgiAIgiB8hwQ0QRCtgj9lqURR9Fl0EwRBEARBEERLQQKaIIhWwV93bHLjJgiCIAiCINoLJKAJgmgV/LFAAySgCYIgCIIgiPYDCWiCIFocURRJQBMEQRAEQRDXPSSgCYJocfwVz9K+zdmfIAiCIAiCIAIFCWiCIFqc5lqRKRs3QRAEQRAE0R4gAU0QRIvTXAFNbtwEQRAEQRBEe4AENEEQLQpjrNku2FTOiiAIgiAIgmgPkIAmCKJFCYT1mDFGVmiCIAiCIAiizSEBTRBEixKoBGAkoAmCIAiCIIi2hgQ0QRAtCglogiAIgiAI4kaBBDRBEC1KoAS0KIqUjZsgCIIgCIJoU0hAEwTRYgQigZg9ZrOZkokRBEEQBEEQbQYJaIIgWoxAimfpeBaLJaDHJAiCIAiCIAilkIAmCKLFCLSABgCLxdIixyUIgiAIgiAIb5CAJgiixWgJocsYg9lsDvhxCYIgCIIgCMIbJKAJgmgxWipzttVqpazcBEEQBEEQRKtDApogiBajJRN+mUymFjs2QRAEQRAEQbiCBDRBEC2CKIotKqApoRhBEARBEATR2pCAJgiiRWiNRF9U1oogWhYKlSAIgiAIR0hAEwTRIrTGxJsSihFEy0JeHgRBEAThCAlogiBahNYqNUVlrQii5RAEgbw8CIIgCMIOdVs3AAB2796NgoICdO3aFSdPnsTkyZMxePBgt9sXFhZi+/btiI+PR21tLRobG3HfffchPDy89RpNEIRHWlPUWiwW6HS6VjsfQXQEpDwGgiBArW4X0wWCIAiCaHPa3AK9ZcsWrFy5Eg888ABuvfVWPPDAA3jnnXdQVFTkcvtz587h9ddfx913343bbrsNDzzwAGJiYvDee++1cssJgnBHSycQc8ZqtZKVjCACjLQIZrVa27glBEEQBNF+aFMBbTAYsHLlSowfPx5BQUEAgOjoaAwZMgSffvqpy30OHToEnucREREhf5aamoqjR4+2SpsJgvBOa7tUM8Zokk8QAUZalKJEYkRLQ6E4BEFcT7SpgD506BAaGxuRlpbm8HlqaipKS0tRVlbWZJ9OnTqhsbERe/fulT87ffo0evbs2eLtJQhCGW0xEaJkRwQRWCQBLblxE0RLIIoiTCYT9Ho9GhsbYTQaYTab6Z0jCKLd0qZBTadPnwYAxMTEOHweGxsLACgpKUFSUpLDd6NGjcIPP/yAd999F3V1dYiKikJhYSEef/zx1mk0QRBeaQsBLYoiBEGASqVq9XMTxI2IfViE1WqlvkW0CPa/F87eREFBQRR/TxBEu6NNR6X6+noAkN23JaR/19bWNtlHo9HghRdewN///nd8/PHHiIqKwquvvorOnTu7PU9WVhaysrIAAK+//noTwd5aqNXqNjs30bp09Gfd0NDQJiJao9EgODi4Vc/Z0Z91R6KjPevGxkbZCsjzPMLCwtq4Ra1HR3vWbYnJZILJZHL5nU6na/EEkfSsCYLwlTYV0NKqIsdxDp9L/3a36lhbW4ugoCDccsst2Lx5M5599ln86U9/Qnp6usvtp06diqlTp8r/rqysDETzfSYmJqbNzk20Lh35WTPG0NjY2Cbn5jgOISEhTcaUlqQjP+uORkd71nq93mEhTK/Xg+fbPPdoq9DRnnVbYjQa3eaw0Gg0LS6gW/pZd+vWrcWOTRBE29Cmv4SRkZEAbIOnPdK/XVmVL1++jJdeegl33XUX7r//fixZsgRqtRpvv/222xVMgiACA2MMZrPZ4zZtmQiGMUax0AQRIJz7MsWkEi2Bp98MeucIgmiPtKmAlhJ/XblyxeFzaSUwOTm5yT5ZWVmIjIxE9+7dAdgSjj322GOora2lTNwE0cIIggCLxeKxZFRbZ1KlbNwE0Xxc9WPqW0SgYYx5/M2g8oQEQbRH2lRADxgwAOHh4SguLnb4vLi4GL169XLp9uKq1EHfvn0BoMO4lhFEWyHVW/Y0kW5rAS2KIk30CaKZuOrHrV3fnbjx8fZ74U1gEwRBtAVtqjhVKhXmzp2LHTt2yG6h1dXVyM3NxR133AEA+OSTT7B48WJ5QjxmzBhcuHABpaWl8nGKi4sRGxvrNgaaIIjmY1/KxpObdHtwuSMB3TYYjUaYTCYSWTcArp5ha5azEgThun+XRFGEXq93KMt0PV9PS6BEHJOAJgiivdHmtQFmzZoFtVqNDz/8EElJSSgpKcHvfvc7ZGZmArAlDKutrYUgCFCr1ejduzeeffZZfP311+jevTuCg4Nx+fJlvPjii62efZcgOhKS9Rm4ZuV1lehP6QSxJUtOWa1WiKJIXimtiL3lX3o3NBoNPYPrFHf9WPotbkkEQYDRaJS9XVrqXWKMtWjCQZPJBFEUHQQgx3HgeR4ajYbKM4EENEEQ1yftYvSePn06pk+f7vK7p556qslnAwcOxMCBA1u6WQRB2OFs1bVYLE0mgEpdPGtra7FhwwZkZmaiT58+AW2nhNVqhVarbZFjE02xfz+kZG7SO6LVaklIX2d4EtAtidVqdbA8O79LGo0mIAtvjDGYTKYmZTQDhWRxdnVeQRDA8zwJaJCAJgji+oRmNARBeMWV66YgCE0+UzrRycvLg9lsRl5eXotlzyc37tbF3f2WBBFxfeGuL4ui2GIi2lk8u/reYDAEJNO+2WyWPVUCjZRs0RMkCm2QgCYI4nqEBDRBEF5xJ46cJ4lKJtaXLl1CaWkpUlJSYDabcfjw4YC00RlRFGUXypaCJnY2BEGgTLo3GJ6eWUsIaG/i2R6z2dysvme1WuWxK9DXIlm2vV0H9QnlHkuMMbpfBEG0K0hAEwThFU/WRfuJrJKMqvv370dwcDDGjRuH1NRUHDt2DA0NDQFtr4TFYoHBYGgxIW2xWMjSDe/WfsrefH3hLfNxoN95X8QzYGuf0Wj061zOtewDLaCVinvqE8oXIElAEwTR3iABTRCER7y5bNpbob1NiMrKynDp0iUMGTIEGo0GQ4YMAWBz6W4ppBhKKRtuoCbMUoKjji6gvZU1kyBr/fWDN7ESSPEneYr4ejxRFB2EsFKcF9MC+V4qcd22p6P3CV+uv6PfK4Ig2hckoAmC8Ig3cSRl5/Y2qRZFETk5OYiIiEBaWhoAICwsDH379kVJSQmuXLkS0Ha7a6vBYPBr4u2MVJImEPGY1zNKS/PQBPj6QcmzslgsARHR9tn9fcVdoi5P53Iez5yzZHtC6u+utpdct32ho1tVSUATBHG9QgKaIAiPeBPQniaV9pw4cQJ1dXUYNmyYQ0bmgQMHQqfTIScnJyDtVUIgrMbSMZRaYG9UlC4g0AT4+sFe2JkF18/NbDZDr9fLIRL+CuHmeoQotV57ErhK2yC5muv1ejQ2NsJoNMJisUAQBL/isjt6nyABTRDE9QrVUCAIwi1KrTMWiwUajcbj9/n5+ejSpQuSkpIcvtPpdBg8eDD27duH8+fPIyEhocn+giCgsLAQVVVVLo8fFxeHjIwMr+2UkNzS/S2H4yyaW6M2bnvEl4zMNAG+frhW753BbGXQuukmUnZ+e9dltVqtuDRUIDJ6S67cOp3O43aehLYgCB7HLwnnUm3NDeHoyH3CW5y9Mx35XhEE0f7oeDM+giAUo3Ry6M2V+ciRIzAYDJgyZQo4jmvyfUZGBo4ePYqcnBx07drVwUJdXl6OPXv2oLa2FqGhoU32t1gsKCkpQVJSEkJCQhReme3a/BXQztcq1Zx2dW03Mr6Ih47urno9IYkVK2OwMtuzU/puS4kFldT9DlQ+AovFApVK5XIRSxRFr0JXSTtclfJrLh1ZFPpjrfflPSQIgmhJSEATBOGWQAgkvV6PgoICJCcnIy4uzuU2KpUKw4YNw7Zt21BSUoLU1FTo9Xrk5OSgpKQE4eHhmDZtGhITE5vsW1tbizVr1uDEiRMYPHiw4vY2ZzLsfF+kyXVHs0L78n7QBPj6QerLVuHqu80Y1D48N2lBScl2gcJsNkOlUjlYxZV60Ej7eFpQa4kwjY68qOTP4oEoin4vehIEQQSSjjXbIwjCAYvFIrtfq9VqB3HjS3IdTxw8eBCCICAzM9PjdikpKThy5AgOHDgAs9mMAwcOQBAEDB48GAMHDnQrTiMiItCtWzccP34cAwcOVGT5Avx343ZX89hqtXYoAe1cwkwJNAG+PpAFtGj7r0UE1D5kTFEioANt0RVFEXq93m9R2lYCWqm1/kaDBDRBENczHW/UJggCwLV6qFIZGb1eD7PZfG3yHIAJY11dHY4fP46MjAxERER43JbjOAwfPhyNjY3Yt28f4uLi8Mtf/hJDhw71KkwzMjLQ2NiIc+fO+dQ+f67R3T5Ks1HfKPhz766Huq8dOSEccE3UiaLN8gwAVsH3ElPexHF7s+h6am8gYrU9Hbsj4q+AJgiCaA90HHMJQRAOOJehkQS1xWKBWq0OyITx7NmzYIyhf//+irbv2rUrRo4cidDQUPTo0UOxu29SUhKCg4NRVFTUJEmZJ3y9Rk8ZtzuSG7e/1kOlE2BBEMBxXKtZm6TnKmWTDwkJ6ZBWQeCaCLXYjQ1WkUFkDLyPbtyenl9LCVJ/8RRi0JKLKh1VFJKAJgjieqZjzhAIooPjKemX0rJUSjh//jw6deqE8PBwxfv069cPycnJPsXK8jyP9PR0nDt3DvX19Yr389Wy5M3K3FGsl/6WLPJFQLfGZFlaNNLr9TCZTPI5A1En/HpFTiDm1C0EH5+3p3ekJRJyNRdPWaFbsl93JK8VCX89TDrivSIIon1CApogOiDO1mdfUDrxFQQBFy5ccFmWqiVIT08Hx3EoKiryuq39hNiXybG3bTuCG7coioprPzuj9N5ISaBaEovF0iRsQcJqtbY7gddaOMc/S1h8vB2eRHJ77Seu2huoXBC+nPNGx99rlrwECIIg2hoS0ATRwfBWcsrTftu3b8fq1asVTYAuXrwIQRBaTUCHhoYiMTERxcXFHttXUFCAf//73zh79iwA30p1edtWyTbXM6Iowmg0+i0olEyAr8XgtpxokSzPntri7yLB9Q5jDMJVl217nAW1Etzdw/baR1yNGy3d1o4oCJvTt8mNmyCI9gAJaILoYHgTDu44fPgwSkpK0NjYiPLycq/bnz9/HhzHoWvXrv400yeEq5P7Pn36wGg0orS01OV2Z8+eRU5ODgBg27ZtqKmpcRC9nkSCUkHVXsVBc2mueLY/jickEdOSIlpJH+ioVmhRFGFx0Q8EkUH0UUS7csVvj+7bEq4WeFpDQHc0UdicRYOOdq8IgmifkIAmiA6EKIp+TQjLysqQl5eHlJQUaLVatwLVnvLycnTp0gUajcaPlipHFBlMV7MEd+vWDeHh4S7duGtqarBt2zZER0fjtttug0qlQlZWFkwmk22izxjqTYJbEa30vrVH91TJ4mo0Gl3+eROUgRLP0rGUft8Sk2Vf+kBHtELbLNCuv7P68V473+v22D8knMV9a8XidzRR2JwFlI52rwiCaJ+QgCaIDoQ/sc/V1dXYtm0bYmJiMH78eCQmJuLMmTMeJ0EGgwFXrlxBt27dmttkrwhgMAtMzqCbkZGBixcvoqqqSt7GZDIhKysLarUaU6ZMQWRkJCZPnoyGhgZs27YNZrMZBotNROvNTa/L14l0e7FCM8YcSpRZrVaXf1IiLVdC2lk8W61WXLhwwe82KbVAO/9/oPClD3REKzRjzKUFGgCsfmgXVwK6PWPfvtbqx+11QaGlIAs0QRDXOySgCaKD4I/12Wg0IisrCxqNBlOmTIFarUZKSgrMZrNHESW5eLdG/LMgOk76U1NToVKpZCu0KIrYunUrGhoaMGXKFISFhQEA4uPjMWbMGJw/fx779++H3mS7NxaRwWSnFCwWC4xGo09tamsBbV/bW6lgdJWRWhRFGAwGh0nr/v37sXnzZlRWVvrVNm9tsT9XoMWWP32gI2XkZozBbHVvIfa1HjTQNNN9W/cNb7T0Ao4rOpIobG4isI50rwiCaL+QgCYIP/E3lrit8NX6LAnPxsZGTJkyBaGhoQBsbtJqtdqjG/f58+eh0+kQHR3d3GYraKftv5LhOCgoCMnJySgpKYHFYsH+/ftRXl6OMWPGIC4uzmHftLQ09O3bF0ePHkXx8UL5c71FhHDV8moymXx+zoIg+CQUmpPZ2hkpu7S/mdalJHMGgwEGg8HhGLW1tTh+/DgAoLCw0N0hPOJpAuzs3hvorLv+3JPWyAjeXmCMecwDIDDf46CBa6K5PbtvS0jvXGu5b0vnbM8E8reuudfqbwksgiCIQKJu6wYQxPWIyWSSJ+M6na6tm+MVfwTavn37cOHCBYwfP95BeKrVaiQlJeHMmTMYM2YMeN5xHY4xhvLycnTr1q3Jdy2BVJ/WIogQRQ48z6FPnz4oKSnBli1bcP78efTr1w9paWku9x82bDgqq6pxYO8uRHWORlx8V1isVlSbLAhSK69F7YzJZAJgu1+esHeR5jjO6/bejhUoi6mrSWpubi7UajW6deuGU6dOYcSIET6//5JAcVXn29XkWhCEZt0T+2P7u0hhNpsRHBzc7Da0d0RR9OqmbWEMOvjWL6xWK7Rabbu3PksIgtCq8e/tWUBbLBY5/EOn00GlUjXreIFYjArUmNDeYIzhypUrMJvN8u8BQRCtB2MMPM9Dq9UiOjraYx+88UYggmhhJPEM2CYXKpWq3f+Y+zoZPH78OAoLC9G/f3+kpqY2+T45ORmnTp1CRUVFkzjnmpoa6PX6VitfZe9VahIZgnkOsbGx6Ny5M86fP4+EhAQMHz7c7f5mxmH4mJuw7cdN2Jn1P0y7ZQ7UGi0AQMurwPPuB9CioiIkJibK1nl7pPhjwL2Ido4vNplM4DjO70mq0WhsMevMxYsXcebMGQwdOlSOgz958iT69evn87FEUXR5je7q8AaC5iwsdBQrtE1Ae35/BAGAj6+nZNG9Xu6hrx4kzUWyqrY3wWS/ICeFc2i1Wmi1Wr+PqXR8YoyhtLQURqMRffr08esY1xMmkwkVFRXQarUtnniTIAjPWCwWlJWVIT4+3q2RgFy4CcIH7MWzRHt35fa1NnFFRQX27NmDhIQEDBs2zOU23bt3d+vGff78eQBolQRioujozme5qqY5jkNmZiYSExMxceJEt5Zw8Wq8sy5Ih7GTpsJsNuFQXo78vd7q/rleunQJu3fvxnfffeeQsMwexhiMRqPL++8qs7Ukuv15nySrRUvAGENOTg5CQkLQv39/REdHIzY2FkVFRX611V073Vmgm0sgBJHZbL5uBKC/WATv7rHuEox5oyXfz0BjtVpbva2BPJ8UhtHc3yVXC3Jms7lJaIcvKLnO2tpa/PDDD9i6dSv27NmD2tpan49xvVFVVYWgoKB2vxhPEB0BtVqNoKAgt3M7gAQ0QSjGlXgGriVsaq/4MpFqaGjAli1bEBYW5lF4qtVqdO/eHWfOnGkymTl//jwiIiLkZF0tiXNZHUG8FsOZmJiIadOmeXQxNloZNBoNdEHBiO0Sj9Q+/VF2ugS1NdUAbG7hZhc1fSRBGRQUBJ1Oh6ysLBgMBvfncRLRnspCSd/5MkEVBKFFk12dOXMGly5dwpAhQ6BWq+Vs57W1taioqPD5eK6u21093EBMlgPhjisIAhobG9HY2AiDwSC7tbbnxTNfMQveFxlExuS6675wPYmetnimgbg/UiJAg8Hg9vdKKZ4WPARBgMFg8HlByVvNa6vViry8PKxduxZXrlxBZmYmeJ5vUpbwenqXlCIIQquEPBEEoQye5z2OcdRbCUIB3iYjUjmg9oZkiVCCxWJBVlYWRFH0KjwBmxu3wWDApUuX5M+sVisqKiraxH1bwqwgUzDHcVCpNeB1QdBotfLEZcCQTGg0Whw9eEDe1mhpapU7e/YsLl68iKFDh2LOnDkwGAzYunWrx8FWEtFKair7IojtXcVbAlEUkZubi8jISKSmpspx2lJNcH+SibkSKO7unXNtXl8JtDuu1B6prrZer2+Xfd8fLArrVPlTD5q4BnORjK05otA+g7698PXXCq1k/JHGMV/6pqdxqqysDN999x0OHTqElJQU3H777Rg0aBB69OiB4uLiJguQNxrtzX2fIAjP/ZIENEF4wWw2KxKhUumf9oQk2LKysrBv3z63kyLGGHbu3Inq6mpMnDgRERERXo+dmJgIlUrl4MZ96dIlCILQagLa1e1W4oYaFBQEK6duMjjqgoKQ0X8gLl44j8sVtjJdAmMw2olyURSRk5ODiIgIpKWloWvXrhg3bhwqKiqwb98+j+c1Go1NykK5Q0re442Wdo09fvw46urqMGzYMPA8D7VaLf83NTUVZ86cgV6vd7t/Q0MDNm/e7GCp9uaqvWfPHhw+fNjj9kpp6TJU0gJGe+v7vsIYk0MgvGG9sT3ZWxRRZDCbGASn8BB/QyHs67w7H8PX8B1pH6ULcr6EnEgeG67Izc1FVlYW1Go1Zs6ciQkTJiAkJAQAkJGRAbPZjNOnTzuc93rvbwRBXN+QgCYILyidgLS0JdAfLBYLLl26hLKyMhw9ehRr1qzBqVOnmkx4Dh48iNLSUgwbNgzdu3dXdGyNRoPu3bujtLRUPt758+fB8zzi4+MDfi2uEFxM3ES7mtCu4HkejONdumYDQFq//ggOCcWRQwfk67LYTXZPnDiB2tpaWVACQK9evTBgwAAUFRV5tcj6MlH25iZstVpbNFuwxWJBfn4+4uPjkZiYCACyCzdgm9wyxnDixAm3+2dlZeHChQvYvXu3POl1VZ5K+u78+fMoLCxEXl6eHPvorwXaarW2StyyFOt+Pbtz27LYKxMl/sZBd2QYY7BaGCxm271zvtW+CEJJOBsMBq9WZl/HB18X5JSEnFitVrcLWYIgoLCwEElJSZgzZw66du3q8H18fDwiIyObjKskoAmCaEtIQBOEB0RR+aQSaP3yJ56QrM+lpaXgeR4zZsxASEgItm3bhh9++EEWJ6WlpcjPz0fv3r3Rv39/n86RnJwMvV4vu3GfP38ecXFxrZJFlHmIxTR70Ewcr0Kjhw00Gi36DhyMmqorOHemFIBNqAsikwVlXFwckpKSHPaTkpbt3bsXFy5c8Pl63GE0GtHY2Ai9Xg+TySQLasltsyUpKCiA0WjE8OHDwXEceJ6HSqWSFw4iIiLQtWtXHD9+vEk/sfdqyMjIQE1NDU6ePCl/75w8TRLVOTk5CA0NhUqlQm5ubpNtldIa98ceSUhcr7hbUHKFt3rRhCOiaBPOguC8aORbzXNBEOSwAaXu2aIoKl4E9ndBzpPLt7ccIeXl5bBYLEhPT3eZmV/Kt1BZWYnKykqHcxIEQfiD/VzEX0hAE4QHPE083E1g2ku2Wal9paWlSEhIQLdu3TB79myMHj0aV65cwdq1a7Fnzx7s2LEDsbGxGDNmjM9xWImJieB5HqWlpTAYDKiqqmo99+2rt55X8VA5ZS61WdOaPhuTIKJRgMfJP8/zSErpiYjIKBw7nC9P1Mwiw5EjR2AwGDBixIgm94rneUyYMAERERHYsmUL6urqfLoeb5NcqY6xvaB29Z4FIvsuAOj1ehw5cgQpKSmIjY0FcK0cl32ymz59+qCxsRHnzp1z2P/QoUOyV8Po0aMRGxuLAwcOyNdp30ZJPJSUlKCqqgrDhg3DwIEDcebMGVy8eNHnhSygbfqhIAjtzgtFKUrjn+XtSUArQrDaxLN9l7yWJdtxW0/9VkoO5k+8vZKFJE8LTkpEtcViabKdEs+M0tJSaLVaj1UbevfuDbVa7ZBM7EZL4EcQHZlLly7h6aefxrJly/DnP/8Zf/zjH9HQ0OBxn4aGBrz44ovIzMxEz549ceuttyInJ6fJdiUlJYiPj0dcXJz899///rfZbSYBTRAecLfK3djYiG+//RYbN27ElStXHL7zJXFXSyHVXK2srERjYyOSk5MB2IRPnz59MHfuXKSkpKCwsBBarRZTpkzxq3yGVqtFQkICSktL5fJVrZdAjMltcNV2s711hzE0mkUYrQwc53nY4zgOvEqF/oMzoW9swOni4wCAhgY9CgoKkJycjLi4OJf7SveSMYbt27crnuAdPnwYX331FS5fvqxoe6DpZNtqteLAgQP46quvsGvXrmZNLhljsst1Zmam/Ln9fZZEdFJSEoKDgx1cLEtLS3HgwAHZq4HjOAwfPhx6vR5Hjx4F4Ni3pERfeXl5iI6ORs+ePdGvXz8EBwcjJyfH55hHX6xugcaVkGjvMMZg9tGi52xNJZoiigxWp1jn+vo6bN2Whf+s/gpnz5512t591uvmeFN46w+S0HU+f0NDA7KysvDll182+Z1zheQhI6EkWeKZM2eQlJTk0vosodVq0bNnT5SUlMgLVP7EdxPtB09VK1qb9tSW1sRisbSLPtTQ0IC5c+ciIyMDv//977FkyRJoNBo8/PDDHvd76qmnEB4ejiVLluC3v/0tjh49innz5qGkpMRhu/fffx9//etfsWzZMixbtgzvvvsuHnrooWa3mwQ0QbjBU/bf/Px8WK1W1NfXY/369di7d6/DBKeta0NLE3jJfdvZ3Tg4OBgTJkzArbfeiptvvllO2OIPycnJaGxsREFBAXQ6HaKjo5vVdqUIDFBr1OB51VW3YkeLsJSN2yqKqDfZylGpVMoWCVS8CnFduyEuviuKjh6G2WzCkcMHIQiCg6B0RUREBEaMGIHLly87JL5xh8FgwMGDB2G1WpGdne0xIZc7zp07h7Vr1+LgwYOIiIjAiRMncOzYMZ+PI5Gfn4+ysjIMGzYMnTp1AgAH123gWnZKnueRnp6O8+fPo66uDlVVVS69GuLj45GUlITDhw83qSMriiIKCwvR2Ngou4trNBoMHToUly5dwpkzZ3xy2Wzr/ne91Yy2iAzMR4uyRWQQyQLoFsauxTsDgCBYUVBwEBv/uw6XL19CaGgYdu7c7lDj2F15t0B4NXha1HF+XwVBwKFDh7BmzRqUl5eD4zjF2falhHomk8lrH7hw4QLMZrO8wOuJjIwMCILg4HrZHib/hO/U1dXh+eefb+tmALD1iyeffLKtm9Em/OUvf0F5eXlbNwMrVqzA6dOncffdd8ufLViwAFu2bMHmzZtd7pObm4sxY8bgmWeewc0334ynn34a77zzDvR6PdasWSNvV1FRgaqqKjz00EO46667cNddd+FXv/pVQMqskoAmrguUxIcFGnc/ztXV1SguLpYtuenp6Th27BjWrFmDkpISOT61rX7cJWsDYwynT59Gt27d3ArkmJgYhIeHN+t8SUlJ4Hke1dXV6NatW6uV4xCZLV5ZQq12jLsWRJvVud4kyhN9ldq9lcMeSSj2G5wJi9mM/P17UVpSjNS0dEUZynv37o2oqCjk5eV5nUTm59vcxCdPngyz2Yzs7GzF745Ut/vHH3+U49znzJmDpKQk7N+/X/YK8IXTp0/j4MGDSE1NRb9+/eTPna389mI6PT0dHMfh8OHDyMrKcuvVMGzYMFitVhw6dMhBLOj1ehw6dAjdu3d3cOVMTU1FZGQkcnNzFVt120NJOXcWvfaK1U8xTHHQ7rFart2bCxfO47///R6HCw4isXsSZt/yS0yZ8gvwvAo//fSTLJBdvS+BCkWQvJKccfaYuHDhAtatW4e8vDx0794dt99+O3r16uVg/fUEY0xObuaN0tJSqNVqj+7bEjExMYiJicHx48fluYAgCNdNHyNsGAwGPPTQQ4oWl1saQRDw1FNPuXT7vdFZuXIlPvjgg7ZuBgBg3bp1SE9PdxC1qampiIiIwH/+8x+X+1gsFtx7770On02ePBkAHBYlP/jgA/z3v//F4MGD8cQTT6CgoCBg7fbdZ5Mg2gAprjMoKKjVzump5IZGo8GgQYOg0+kwZswYpKWlYffu3di+fTtOnDiBW265BYyxZifTEkXRQagoQZq4XLlyBQ0NDRg8eLAsZHyxiqlUKkXb63Q6dOvWDefOnWs1920AUKk1DmJdpVaDs5gd4grtEyPxPAeeVyigr7oTRkZ1RmJyT5wtPQW1Wo0+/Qcp25/nMXz4cPz4448oKipyEKL21NbW4vjx48jIyJCtMFu2bMHu3bsxfvx4t4sRoiji6NGjyM/PB2MMmZmZ6N+/v+wGOWHCBGzcuBFbt27F7NmzFYl+wPbO7NixA3FxcQ7WY6n2sz32bQsNDUViYiJOnDgBlUqFWbNmuVy0iYyMRFpaGgoLC9G3b18EBweDMYaDBw/CbDZj2LBhTe7jsGHDkJWVhcLCQgwbNszjAk1rJw7zhCQkgoKCPLqntgdspd98FyJWAdC270trE0SBQRQBvb4ReQdyUFZWivDwTpg8aTq6dr0mFm8aPwlZ2T9g27ZtmDZtWhMxKCX1YozJCRq1Wq3z6RRjsVgc3kWr1SqLYqPRiH379qGkpARhYWGYNm2anHk/IyMDJ06cwMmTJ92OZfYoTW4muW8rDR/q06cPdu7ciYqKCjlbt9VqbdY9ae9YvvwnxLJTbd0MB/ikntDMX+TXvps2bZKrNixevBijR49GUlISPvnkEwwcOBCHDx+G1WrF66+/jrCwMBQWFuL777/HkSNH8Ic//AG/+c1voNVqsXPnTnAch6+++gonTpxAZWUlVq1aBZVKhZkzZ+L+++/HxIkTYTAY8M4776C2thYnT55EY2MjXnnlFYwcORLbt29Hfn4+qqursXjxYvTp0wfz58/3eg0nT57Ef/7zH6xduxZffPEFnnvuOeTl5SE5ORlvvPEGxowZA8A231q+fDkuXLiAc+fO4ezZs3juuecwY8YMXLx4ERs2bMDq1auxfPlyPPPMMygoKMAPP/yAXr16YdeuXfjhhx8QERGBPXv2YMyYMXjqqafk37/PP/8chYWFqKysRFFRER599FHce++9qK6uxldffYWNGzfiN7/5DQ4ePIhvv/0WYWFhWL58OUaNGoVTp05hw4YNAIClS5ciNjYWixcvhsFgwGuvvYbY2FgIgoBt27bhpZdewtChQ+VrLy4uxj//+U/ExMTg3//+Ny5fvozMzEyMGzcOL7zwAgBgw4YN2LFjB+rr63H48GHMmzcPTzzxhNz2mTNnQqVSYePGjTCZTDhx4gSmT5/e5D4nJCTg4MGDLp/B6NGjm3wmueKPGDFC/qxfv3743e9+h927d+Orr77CqlWr8OabbzYR3/5AAppoE6xWq+IfTcmaK/3Xn1hdX3EXc3nhwgWcPXsWw4YNcxDzMTExuOWWW3D8+HG5puWkSZOa1V5pAg5Azn4sudG6ExH2lu/S0lJwHCfHl3lySXdGpVIhODhYziruzaLXu3dvVFRUKC6B1Vx4ngeHpoJOpVK7batS923pWDzPQRQZ+g4cjIryc0jvOwAqXRAYY4qs7AkJCejatSsOHTqE1NRUl5O83NxcqFQqDB48GIDNHX7IkCHIz89H586dXWZFr6iowO7du1FTU4PExESMGjWqiReBRqPB1KlTsX79emRlZWH27NleJ5kGgwFZWVkICgrC5MmTHSba9qWrJJwXdvr374/y8nKMHTtWTjrmiiFDhqCkpAR5eXmYNWsWampqcOzYMaSmpqJz585Ntk9MTER8fDzy8/PRr18/j+EGFoulXVmkJEt0exbRImMwWwUwP+6bRWSK+0NHgYkMJpOA48cLcbjAtsA1cOAQ9O3Tv8k7EBfXBSNHjsbevbuRm5uLkSNHXjvO1cWgK1euYPfu3bh8+TLi4+Pxi1/8wu93SarMwPO8Q3ZsQRCQlZWFyspKDBo0CIMGDXL43bK3/vbt2zcgz7uiogImk0mR+7ZESkoK9u3bh6Kiog4joG805s6di5UrVwKwuRADtt+O+fPn49e//jWsVivS09PRq1cvPPnkkwgODsbOnTtRWlqKQ4cOYcmSJdi1axc4jsP//vc/LF26FLm5ueA4DoIgYM2aNXj55ZflsLWHH34Yzz77LAYOHAgAuPvuu3HPPfcgNzcXkydPxtq1a2EwGOS2KCE4OBjFxcUoLS3Fjz/+iA8++ACnT5/GokWLcN9992Hfvn2IiYnB888/j5tuugmPP/44AOCZZ57BggULsHPnToSHh+PMmTM4cOAA/vOf/2Dx4sX417/+hYiICKxfvx7ffPMNVq5cCZVKhU2bNuHBBx9E7969MWfOHCxfvhxqtRpvvPEGAODdd9/FU089hcTERIwbNw5jxozBK6+8gtWrV8sJuW677TYsXrwYWVlZ6NmzJ26//XZs27YNTz/9tHyvli5divXr1+PQoUMAbH300Ucfxb59+wDYPN5+9atfYdmyZfJ55s2bh0mTJuGZZ54BAKxfvx779+/HW2+9BQD4/vvvsXDhQsTGxsqiNTIyUr6XNTU1EEXRpUt1aGhok3hmT/z8889ITU3FrFmz5M/uvPNO+f937dqF3/72t/jDH/6A4cOHIz09XfGxXUECmmgTrFYreJ5XZF0VBEFe0TaZTFCpVC0+YbM/p4R9iZ2+ffs22UdK0FVfX49jx47JbfVXQNu3wd79juM4+c8ZyX1cyr7dtWtXhISEgOd5qNVqxdY5qc2SaJcyQLvLfNqzZ0+fLAnNhVdrAWvTdqg1HgS0j23jeRVE0YqQ0DDMvG3etUUIxqBW8P5JibPWr1+Pw4cPN7GuXrx4EWfOnMHQoUMRHBwsfz548GBUV1cjJycHkZGR8qKEwWBATk4OTp48idDQUEyZMgU9evRwe/7w8HBMnjwZP/xgs3BNnTrVbX8TBAFbtmyB0Wh0GRPvrryMPfHx8Zg/f77XyX1ISAj69++PgwcPoqKiAocOHQLHcQ6r3M7nGT58ODZs2ID8/HyMHTvW5XbSO9rekES0Tqdrtf7hC1aRwWptmhFaCaIP/aGjUF5egX3796KmphrdunXHsGEjER7mPkymd6801NZW48iRI4iKisKgQYPA8zzq6+uxf/9+FBYWQqfToW/fvjh27Bj27dsnW7j8wWKxQKvVytmxpYSBly5dwsSJE9GzZ0+X+7my/jYHyX3bl0VXtVqN1NRUHDt2DHq9HiEhIRBFEYIgtNsFqubir6X3emLBggUYP348ANt4Hx4ejtLSUgC2ReWePXuitLQUDzzwAABgxowZAIA1a9YgLi5O/i2aN28e1qxZg8rKSiQlJSEnJwe7du3CqlWrsGrVKgA28ZuWloaysjJERUX51d6EhARkZGRg48aN+P3vfw+O49C1a1e89NJLePTRR7Fq1Sr88pe/xBdffAGVSoU9e/YAsMV+Dx48GKdOncL06dNlb465c+ciLS0NQ4cOhSAIeO655/Dee+/J7/TMmTOxbNkyjB07FiaTCe+88w5mzZqFxYsXAwDq6+uRmZmJsrIyqFQqOQ/N7NmzZZE4ceJEfPjhhx6vS6oiItGpUyf5OQDA/v37ce7cOcTHx8vbd+nSxaG83N/+9jekp6fLbTOZTMjMzERFRYW8zddffy3/v7T45Wo+y/O8Yi9Oq9WKFStWYPny5W73GTt2LFatWoVJkyZh3bp1ePbZZxUd2x3t79ec6BBIk12dTud1W/tJsZRQpaVduV2JsNOnT6OyshLjx4/3OBFOTk7GkSNHcPbsWfTu3dvvH3d3QlCa9HiiuroadXV1Dm690oKFNwudK3ddnueh0+mg0Wjcxna2ljjQaDQAzwNoak3neRV4FQ/Rqaat0sUah31UPHD1Edg/P7MAqBUeKiYmBr169cLRo0fRp08fhIaGAri2GBMcHNzEJZLjOIwfPx51dXXYtm0bbrnlFlRUVCA3NxdWqxUDBw7EoEGDFP2wdO3aFaNHj8bu3buRl5eH4cOHN9mGMYY9e/bg4sWLmDhxImJiYhzvw9XFF2dc3U+l7/mAAQNw/PhxZGdno6amBgMHDpTvjStiY2ORkpKCQ4cOYfDgwU22FUWxzROHecI+EVR7E9EmiwChGTHjFlF5f7iRsS1w5eLkyWKEhITipvGT0L17ktfFXsZsLoc1NTXYtWsXYmNjUV9fj59//hkGgwEZGRnIzMyETqeDSqVCQUEBoqKi0KdPH7/aKVmhpTH82LFjKC4uxqBBg9yKZ8C19ddfRFFEaWkpunfv7nN/yMjIwNGjR3HixAnZc8dqtd6wAroj8PTTT6O8vBwfffSRvNDvPMdwNeczm804e/as7AWTmJgIjuNkr4bc3FyEhYX5ZF32Ffv+LS0CnD59Gnl5eRBFES+99JLXea79tR0/fhyXL192yAvAcRzuuusuALaKHfX19Xj88cfRu3dvxe3UarVecxiMHz8eo0aNwurVq+VcP/a/qZIB5syZM/K5u3fvjpSUFAC2eWdJSQn++te/yvHI3oiKioJWq0VjY2OT7xobGxWPNX/729/w2GOPYciQIR63S0tLw6hRo3Dp0iVFx/UE/ewRrY7kHq2kjqO0umyPFBfWku1zPqcgCMjNzUXnzp3Rq1cvj/vHxsY6rKD609bmJiGT3Ld79OjhIHSUTFY8WfjdianWguM4aLVaj8mLXLXPV+szALfx0lYfy/cMHToUjDEcOHBA/uzMmTO4dOkShg4d6lIISy7YPM9j3bp12L17N6Kjo3Hbbbdh2LBhPsXWZ2RkICMjAwUFBdiyZQu2b9/u8JeVlYUTJ064nUC7e97uvCCUoNFoMGTIENTU1ECn08nudZ7IzMyEKIrYvn07TCYTzGazQ03stk4c5g3JEt3e2mkwmf2yPktYOng5K8YYioqKriaRPIm+fftj9i23ITGxh+L+wYHHpEmTEBoainXr1uGnn35CSEgIbr31VowZM0aegGdmZiIxMRF79+7FhQsX/G6v9Pt2/vx57N+/H0lJSW49QCQk629paalflQLsuXjxIoxGo0/u2xIRERHo2rUrjh8/Lossqgl9ffPPf/4Tjz/+OO68804sWLDAwSPLEwsWLEBVVRXWrl0LADhy5Ah+/etfO4QCVVZWor6+vsm+gchs74xUsUL6LwCXydI8nVuaLzqXuHPG1+Mq4dixY5g6dSq6d++OhQsXNvG0nDBhAtLS0vDxxx9DFEU0NDTAbDbjnnvu8do2T96PAwYMcJkNvLy83GUYmzOffPIJ0tLSMHv2bK/bAjYXck9hZkohAU20OtIPnRKR6O77QGUmdYUr9+2ioiI0NDRg+PDhXi2ZHMchLS0N58+fh9lsllf8faG5CwSlpaWIj49HcHCww8q8klV6bwLZV0tuICc2Wq3WFuvk4ZAqVdN4XX+sE+5izQXGIPqQfTg8PBx9+/bFyZMnUVVVBVEUkZubi8jISKSmprrdLywsDFOmTEF0dDQmTJiAGTNmOMQO+cKoUaPQs2dPVFZW4uLFiw5/1dXVSE9PdzuB9vQ+NCeUIi0tDT179sT48eMVxTB26tQJQ4cOxcmTJ/Hll1+ipKTkupw4tycRbRUEmMzNG2sE0bf+cCNx5coVbNy4Ebt370ZkZBRunjUHQwYPa1IRwBuiaLNCTZ06FbGxsbjppptw++23N6k3z/O87Ga5ZcsW1NXV+d322tpabN26FZGRkZgwYYKivpyRkQHGmJwEyl9KS0uhUqnkJGW+0q9fPzQ2NqK4uBiA55KTRPuD4zh5TpSfn48///nPeOihh2T3YaXzpQkTJuDll1/G999/j3fffRdmsxmvvfaa/H1aWhpEUcQnn3zisF9ZWRm+++67Jm1pLmfOnAEATJo0CWlpaQCAjz76yGGbmpoafPbZZ26P0atXL6jVanz00UcOv216vR4//fQTevbs6fJ7k8mE999/3+c221/7okWLkJKSglGjRjX5DrC5v69cuRJGoxFLlizBl19+ia+//lp+blFRUYiJicEXX3zhIJgZY/jHP/7h9rd6zpw5KCoqcliYO3XqFKqqqjBv3jyP7f/mm2+g0+nwq1/9yuF87sruWa1WHD58GDNnzvR4XCW0L18yokNg3yktFotHa5onN2aTyaR4pdIXnH+ITSYTDh48iG7dunnNMi25CqelpSEvLw9nz55Fr169FLurSzRngl1dXY2amhr06dOnieuylITM3Q+GLRGXZ7EpWaiVChejwKBTAXwz4ySl2sCAbdLuaTu1Wi0vQvAq3923JXiedzkxM4sMQbzy6xk0aBBOnDiB3NxcJCYmoq6uzmNMskSXLl3crqpKz0lJiTee5zFx4kTF7bU/h6c2KgkJ8LSvlI1Tygbs7jqkEIIxY8YgMTERW7ZswU8//YQePXpg5MiRAanp2JpYLJZ24cqtNwTGCmNhDDp0nDhos9mMAwcOyPHJN910E7onpPi9oGRbgOAQFRWFO+64w2EMlsShlNBRq9XKCQKzs7Nxyy23+FztQSqXx3Ecpk6dKu+vVqsd3Ludsbf+Dhw40K9xVcrP0b17d7+rVCQmJiIuLg4HDhxAz549odFo2k2fIrzTuXNn5ObmwmQyYceOHQCAnJwcTJkyBdnZ2aiursaFCxdw+fJlxMbGyh6Lznz++ef4+eefMWfOHPld3LZtG8aOHQutVouJEyeiT58+eOONN2AymTBx4kScPn0a69evl4Vt586dUVlZiaqqKpSVlaF///4+vUdlZWVyEq4VK1Zg5syZGDduHABg6tSpWLlyJbRaLebMmYNLly7hyy+/xLJlywDAwYNCIiwsDA899BA+/PBDzJ8/H3fddRdEUcTmzZuxdOlShIWF4b777sNnn32GRx55BPfffz/0ej0+//xzvPjiiw7Hs/89leZDUhJBKU76xIkTCA4Ohtlsxvnz52G1WlFdXY36+nrs3LlTvsZOnTqhpqYGv/71r/HII4/I89mcnBwMGTJEdjl/7LHHsGTJEtx999347W9/C47jsHLlSjz44IPy+Dh//nzwPC8nk5s/fz4++ugjfPvtt1iwYAEA4LPPPkNmZiYmTZoEwGbEeuCBB/DMM89g7ty5AGwJyr7//nvcc889clZxURTxv//9D0888QR27dqFFStW4N5778W0adMAAG+99Rbmzp2LQYOUVVTxBI02RKtj/+PsKQGItxqPgiDAbDYHPAOn80BdUFAAk8nkMn7UOTu2NIhHREQgODgYpaWl6NWrl5wpVMkEq7m1LSXX8R49eri8r1JSMFcoSdBmy1DtWli6QhAYjAwI0TRvgi3dW5F5r1mrshPQah+ybzc5p5tSXlaB+TR66nQ6DBo0CDk5OaioqEB8fLzf1hfAdi+CgoLkhQypH0nvTqCsst4mEs2xQEt9RzoPz/MwmUxN7rdarYZOp5PPlZiYiLvuugu5ubk4ePAgzp8/jyFDhqBfv35+L5S0NtJzasv2CoIAoyUwlnCLAOg6QAgqYwynTp3C/v37YTAY0KdPn6thGFpYzP73OcZsx7bvExLSgqC00MQYQ6dOnTBp0iT8+OOP2L59O6ZMmaK4L0phELW1tZgxY4acwV+j0ciTYnvR7vx71KdPH2zZsgXnzp2ThYMvXLp0CQaDwS/3bQkpseB///tfHD16FIMHD24XfYpQxoIFC7Br1y5MmzYNzz33HCZPnoyPPvoI2dnZWLx4Me6//358/fXXWLFiBfr164ddu3ahoqICH374IW6++WY58VxcXByOHTuGgoICVFVVyYnxBg0ahE2bNkGj0WDlypV4/vnn8cEHH+CLL77A5MmT8c4778h5NO666y6sW7cO06dPxzPPPCPH1Svl008/hSAIuHz5MuLi4hws4MuXL8fzzz+PVatWYfXq1Rg9ejT+9re/oUuXLsjJycG3334LAHjvvfdw//33y6LuxRdfBM/zWLVqFfbt24eJEyfi1VdflReKX375ZQA2AfnTTz9h6NChePHFF9GnTx/U1NTg448/BmDLiJ2ZmQmj0YhNmzbJbVq0aBHGjRuHYcOG4be//S3uu+8+LF68GM8//zxef/11jB07FnfffTcWL16M++67D//3f/+HFStWQKfTISgoCO+99x7Ky8uh1+shCAKCgoKwevVqjBgxAo899hgaGhrw5ZdfYsGCBejbty+effZZ3HTTTfJ9qa6udriH4eHh+P777/Hqq6+isrISRqMR9fX1+Oabb+Tx0GAwoLKyEjU1NQBs5T4fe+wxWCwWZGdnOxxv5MiRSEtLg8lkwtmzZ7FgwQJMmTIFPXv2xNixYzF16lSfnrE7OHa9+b8FAFe+9q1BTEyMQ7a6joqzC6NarXaZIMJkMnl1ZZaskhqNplmTeQmr1Qqj0Qjg2mTp559/RnJyMiZMmOCwrf2Ewxkplu3EiRO45557oNFooNVqFYl9JdftibVr10Kr1eLmm29GUFBQExEkCIJcHssZV9u7wmw2K87oXWcUIDCGTjoVVD5YbZ2R7p9FEFFn8i7eTUYjBEFAcEiI3++GIAgwXX0fnIkIUoHnOHTu3BlVVVXy5yqVSk7YYT/xtFqtWLNmDRobGzF79uwmMTg6nU5xDJOn5ySKYrNjFAFb3wrxcu8sFovfcVdSUjpnzGaz/P57ylxtMplQXV2NvXv3oqyszO22Wq0WgwcPRnJycrPHCOdn3Rw8jR+tgdFoRFWDCUIApgAcxyFC57683vWI87MWRRHbtm1DaWkpYmJiMGbMGDnhnmBlsLqoCuALGi0HrVbjMUGm82/n0aNHsW/fPgwaNAiZmZmKzpObm4vDhw9j9OjRciIyd7/BEvbjvSiK+PbbbxEdHe2ydqs39u3bh8LCQtxzzz3NXvzOzs7G+fPnMW/ePAQHByv+jXWmpedm9gmh3HH+/Hkqx+UDjDH88Y9/xMKFC+VM04wx1NbWYvny5bj11lsV5dbwlzfffBNvv/12QJJRXS9s2bIFhw4dwpNPPil/ZjQacfjwYWzatEkW9jcSZrPZrecpWaCJVsfZ+inFHNtPvpQm0ZJqZUruWxqNplkr0JL1q6amBrt370ZFRQViYmJcWp89uZ+pVCokJyejsLAQ586dQ0pKCqxWq1eh39zkYbW1taiurpbribqzQLtywVbivm1/DCVIZZ8AwGAREdYMM5X0XJXmLJLEVHOtpBwHl0mWrCKDVnXt2NL7Z29VtV9kUKvVmDx5Mqqrq5uIZ5VKBY1GI7/PntBoNB4XOSQrVnNjApV6I/iDq0zvElqtVj63p76s1WrRqVMnTJ06FWVlZXL8mTOVlZXYunUrEhISMGrUKIcyHW2JL14pgcbmvWMJiHgGbP3c4tQfbjTy8vJQWlqKzMxMDBgwwOHdDEQMuCh6H1fVascyfX379kV1dTUOHTqEqKgoj1m0AaCkpASHDx9Geno6MjIyAFwLj/CEfbt4nkd6ejoOHjyI+vr6JjXoPSG5byckJARELA4bNgxlZWXIz8/HmDFjqCZ0B2L9+vXIy8vD22+/LX/GcRwiIyPRs2dPudSSr9xyyy1eE/RJ7sIdCZPJhEWLFmHNmjUOnwcFBSEjIwNHjhxpo5a1HSSgiVbHVX1lKbZLwlUiL2/HlOoUN0dIG41G5Ofn48iRI1Cr1RgzZgzS09ObTHK9lUVSq9Xo0qULgoKCUFpaipSUFIii6LUEl6/X7Yx97UR3SbCk9jlbuX2pr600Dtp+XmkRGcyCCK3KvwUOaRLnKf7ZYfsAxMNxHAeO58GEpi7vVgHQqW0eEFKtbXs0Gk0TMRwbG+sy+6O0GKPVat3GewG2907JBFGtVjdbQCvxRPB3sUqtbprozR4lCzQcx0Gn08FgMCApKcmtO6koiigqKkJeXh7Wrl2LgQMHYuDAgW0eLyktlvkbB9oczGYzrAF2PrOKgPYGdeM+efIkCgoK0KdPH5exc4HIQSQKzOf8ExzHYfTo0aipqcHOnTvRqVOnJmXoJC5fvoyff/4Z8fHxGDVqlJxFXwoF8eW86enpOHToEIqKilwuLrvj8uXLaGxs9JrxWykRERFIT0/H8ePH0a9fP0RERNzQNaGJa5jNZhQVFeHjjz/GnDlzEBERgYsXL+LHH39EZGRkkwR8Stm4caOi7SRDUEuEEbZHpHnJW2+9hRdeeAEpKSloaGhAfn4+9u3bh6effrqtm9jqULAI0aq4i890Fgz+ujBLQlqv17v9MxgMMJlMDhl8GWMoLi7G6tWrcfjwYfTq1Qtz585FRkaGy8mFt0mvVO6pR48eOHv2rHx9VqvVo4VRqfVZr9ejrq6uyd/p06cRFxeH0NBQj5MIV9/5KiiUTFJEOD5rg8V7/LIr7BcDlApoIDAiWuWmnJWFMeh0OgQHB7sUkp6srM7b2d9LnU7nVpjaxwJ7orniUKk3QnPKWAUCyXLvCZ7n0bdvX8ydOxfJyck4ePAg1q5di3PnzgWkDc2hLbJxW61WCIIAa4CTFvtbzsokiLC2UEWFQHDp0iXs2rULXbt2lT177GEBy0Du3QXe1ZiiUqkwZcoUBAUFITs722V4jl6vR3Z2NoKDgzFp0iS5b3saa5q0zm670NBQJCYmori42KeFutLSUvA871fstDuGDBkClUqFvLw8AG3Tp4jWZ968eXj55Zfx6aefYsiQIRg8eDBefvllDB06VE4y1VJs2bJFFtqvvfYaCgoKWvR87YHg4GCsXr0aer0es2bNQlpaGu655x6cO3cOf/rTn9o0HKmtIAs00aq4S14lrW5JWUADUZLCWwIySaQ3NjZiz549KCsrQ2RkJGbNmuXR/UepMJLcuI8fP45z587JSVPMZrPLespKSnE0NDRg//79sqXZFSNGjJDP76ltzpYMX1ftlUy8nA23ImMwWpnPCcXsz9XaZWddi2NAo9WBcb65XLrbxn7iLFmFDAaDw2KT5NqsBOl5+tuPlHojSG7WviS9kxKGBQqtVqso8V5ISAgmTpyItLQ07NmzBz/++CPGjBkju7K2BVKSpta0mEnjnqda6v4gMgaryKD2Ic+B0SrCYBHBcRxCtSI07SwBVGNjo4PwdPXeBuou2pI7At5eBZVK1WSBOTg4GFOnTsXGjRuRnZ0tZ7cHbIIyOzsbZrMZt9xyi1y5wlN+AXfntR9P+vTpg7KyMhw5ckRRRlu9Xo+TJ0+iW7duAZ1sBwcHY8CAAcjPz8elS5fQpUuXNguNIFqXRx55BI888kirn3fy5MmYPHlyq5+3rRk6dChWr17d1s1oN5CAJloVTy6/Uhxza60gC4KAI0eO4ODBg+A4DmPHjkVaWppidzZvqFQqdO3aFTqdDqWlpQ5ZR00mUxM3cE81bUVRxNGjR5Gfny9nmezUqZPLc0qr+54m5ZLAku61N5dad9fnDVdzdJNVhE7F+ZRQTI5/Fv2zYDcHvklWXECrC7JNZL2INiWu7q4msVKWbSmrKM/zPlttnd24RZGBMUClIE7Vl4m1r+9NoF2nJVdu6V55o1u3brjtttuQnZ2NPXv2yKV52gqr1dpqAlpanBRFFrD4Z3ssPghoSTwzxsAYQ6OZb1ciWsruarFYMGPGDLehN4EynqtUPJgIwMurII3Vzu96dHQ0brrpJmzduhW7d++WS+ns2rULly9fxuTJk9G5c2cAkBNv+tY+x4Z169YNKSkpyMvLQ+fOnT1WFbBarcjKyoLVasWwYcN8Oq8S+vfvj6KiIuzfvx8333xzm4VGEATRcSABTbQq3qzCnuI/A0l5eTn27NmD2tpaJCcnY+LEiejUqZOiDNhKBYBU2qpHjx44ffq0bGEHbAsJRqMRwcHBsgBxd96Kigrs3r0bNTU1SExMxKhRo7wmbvEU/2x/HdK99mcCr0QcujNy+ZpQzL6EVWtjs7JyEEXmIJ4B726rzjWpnXFVtkZCyuZtNpsVxSk6IyUxk56P1WIT0KLIoFZzbo/nqzeCLyXNXHleBALJlVtpZniVSoWJEydiw4YN2LJlC2699VafkiEFktZMJiY9J0sL9SOl5d0k8QzAJho5XBXRaBcimjGGH3/8EZWVlZgyZQqioqLcbxsgSz7PqyCIDGoF9bTtxxT7BJwpKSmorq7GwYMH0blzZ4iiiJKSEgwZMsRhAdefmE3pN8Xea2n8+PGoq6vDtm3bMHv2bERGRjbZjzGGXbt2obKy0kHEBxKNRoMhQ4Zg9+7dKCsrQ0pKCglogiBalPax1Et0GLy5WTqX/vEXvV6PEydOuPzbtm0bfvjhB4iiiGnTpmHGjBmyNddblmyl7tvStjzPIzk5GRaLpUn5NFEU5ZJZrlxQzWYzduzYgU2bNsFisWDq1KmYNm2aoom+EgEkCWBfrsnX84gig1rT1LotJRTz9TzWNgqV5HhVE/Fsaw/zavX0dG+93XeNxlbWxh+XZ3shLApMziQuCoDFzNxmDvbVG8GXbVsycZeviQO1Wi2mTp0KxhiysrKaVTquOTQ3874vSGNMACJkXGIV3b9XEgY78QwAF+qtqNHbGsQYQ4NJ9Dg2iMx7n2suBQUFKCwsxNChQ9GjRw+P2wbCAi15IzHRs5eWhH0/sjjd8yFDhiApKQn79+9Hbm4ukpOTHWrbKllcdYWrrPhqtRpTpkyBSqVCVlaWy5J2R44cQUlJCYYOHdqs2s/OOP/2pKWlISIiAjk5ObBarRQLTRBEi0IWaKJV8SaOAxH7bDAYsHHjRjQ0NLj8nud5DB48GAMHDoROp3NYjZcsZO4m0/4k2uratSu0Wi1KS0ubJE8RBMFtHd39+/ejpKQEAwcOxKBBg3xaUVeaAMqXzNvuzuNuosIYA+MAnVYHprGVZxLstjVamaKsvQ4JxNqobL1KpYJarXZ5X70lNZM8EVy9+0pj6f1F8jJwrlHLmE1EqzVNXbpbIhYeuFazvaXgOA5arVZelFJCREQEJk2ahB9//BE7duzA5MmT2yR20mKxtIrFTLZABzj+2R4rY9C6saIarCKMduK53izinbwqROp4PDcmGqqr71KjWQS0gFbFQxQZrIzBKtoEuiAyhGh56FqoZNbZs2eRm5uL9PR0r7G9gShfBTj2OSYCXlIrOIwpVhEQOIbgq67zHMdhwoQJ2LRpEwBg/PjxDu90c8YTV3kVwsLCMGXKFGzevBlbt27F9OnT5TFBupfJycmK4qSVIIVsqNVqh7rYPM9j2LBhyM7OxunTp5Gent7mmfYJgrhxodGFaDVYK1gOBEHA1q1bYTAYHCzL9mi1Wtll0lUyE61W6zYe2R8BLcUll5WVuUwYZLFYmkzaq6urUVxcjL59+/oVM+ZLPefmJHTydB7GALXGtjgh3WurSgXLVbdi4epk2FsstEMCsRac+HvC03NXkozJuSY00Px7rwTbhNd1HWvA5tYtigwaja0d/ngjKBWc/sTZ+4q0yOHLQlxCQgJGjBiBffv2IT8/P2AldnxBik1uyVhoURRt52nhPAIGC4PZRYpvhqZ95YeSehgFhgq9gL3njRibGCJ/12gWYeRcx2pbBaAZJeXdUlNTg23btiE6OhozZsxAfX295x0CdBt5u0z/ogi4SfzvgC3pmCjf02C7bqvRaDB79uyrx3YcY5oz5rjbt0uXLhgzZgx+/vln7N+/H6NGjZLvZVRUVBMR7y/24hmAnCdCEtFJSUkIDw9HUVERevfu7eDeThAEEUgCMnvzVnScIADv1udAsG/fPlRUVGDcuHHo1q0bwsLCmvxJFmetVuu2/JAra5CneFV3SNsnJyfDbDY3ceOWcBbrubm50Gg0fq3a+2JVdmdVVYond0DmQoyp1WrogoLAX60FbVKQUtu+fa2dgVsJSgS0q/eptawjnJdhXhSuWdL8aZPSCXlrXa/SUl/29O3bF6mpqTh48CBOnz7dQi3zTEu7kEvjb6DrPzc5D2OwiE3/nPvJZb0VO88ZMKprEHqEq7GppAFmpw7uzuMk0BnEAVv4UFZWllwWSolHQOASiNmNcQoHObVaDdFuIdJ5cdE5SaWrc/nTTnd9Ky0tDf369cOxY8dw5MgR+V5OnTo1IN4VUnUC53EkKChIPj7HcUhPT8fFixdRVVXVZmEZBEHc+PgsoIuKirB06VK89dZb8meNjY144403cPbs2YA2jrixaI6APnbsGEpKSjxasAsLC1FUVIQBAwagV69eHo+nVqs9/qi7ioX2ZxIgxY0lJCRAo9Hg1KlTXve5cOECzp49i4EDB7rN/OoJXywMgViddzch49WuE9XYMkwHQ6PRwCJ490qQrscsuK4h3tYomcw7W3abE3fuC4IA8LyC81y9BH/aJMXRe0LyxGgN/ElUxnEcxowZg7i4OOzcuRPV1dUt1Dr3CILQou+3ZJUPdP1nf9lQ3AA1B8zoEYrZPcNQaxax5Uyj1/2uXL6EI4cOoNGg3FXfG6IoYuvWrWhoaMCUKVMQFhambL8APC+edxSlUqI/b6hUKjA7V3mzwnGoORZob/sPHz4c3bp1w/79+9HQ0IDJkycrvpfezhsUFOR2DNHpdPLvc2pqKnieR1FREcVBEwTRYvg0kh4+fBhLlizB/v37HSxpvXv3xv3334/XXnsNFRUVAW8kcWPgr4CuqKjA3r17sX37dmzevNnl5PbChQvYu3cvEhMTkZmZ6fF47ly3nbexF8zNTbSlUqmQmpqKkpISjzWcGWPIyclBaGgo+vbt6/f5WhNX5+N5HpyXdqg1GjAwr/GY0oTNPnayPaHUGmb//rSGOzNjDIKVKfJIYMw/DwsJJRnfWxN/slqrVCpMnjwZjDGcOHGihVrmHsZYi1rMJIHeEtZbXymtMePARSMmJoYgQqdCr0gt+kdr8dPpRtSb3ffz+ro67Nm+BcePFmDd2u9QXFysaNHBmyDNyclBeXk5xowZgy5duii+DhaAIclVnxMVLnIwO19vi9X7fQhEyIinY/A8j0mTJqF79+4YP3484uPjA3K+4OBgr2OTJKKDg4ORkpKCkydPwmQykYgmCKJF8Gk0/fbbb5GUlISFCxciJibG4buuXbtiwIAB+OabbwLaQOLGwR/riiQoQ0JCMGrUKFRVVWHdunXIycmRJ5t1dXXYsmULOnXqhAkTJsg/8FKtS+c/pS6e9lbo5iTbkn74hw0bhtjYWOzYsQNXrlxxue3p06dRWVmJoUOH+m0NbA8CWqvVui1hJWFrqxoWD5NFyUXcKnoX2m2FFM/tDft3qDWekWC1CWPpPntCZKzZrvyeaG0BLSUU85WQkBDEx8fj/PnzLdAq77TUZJ8xZsv6L7R+HXVXbVlXXI9wLY9J3UPkPnFLzzBYBIYfSlzHHVvMZuzdsQUcz2HUTZMQFhaOnTt3YtOmTV49BowexOWJEydw9OhR9O3bF2lpaYqvI1AJxFz1HaVu3LDzLhEULI4EQkArEbLTp0/36gWmBMnyrLTdUnx0RkYGLBYLSkpKyI2bIDoQjDGUlJS0yrl8Gk2vXLmCJUuWYOrUqS4teJGRkSgsLAxY44gbC38s0GfOnMHly5cxdOhQ9O3bF3PnzkXv3r1RUFCA7777DqdOnUJ2djYYY5g6dao8aeZ5HjqdzuWfL2WopOM1RwBIEw6p5IdWq0V2djYMBoPDdoIgIDc3F1FRUfLkw1drka8lSiyW5id2c461k1xoFbkhqtUwC6LbSb1079qr9VnCFzfulqqFbI+tNNK1Nnk7HxOb9457eueam+ndXzQajV+LAt26dUNNTQ0aG727EwcaKdFXoLGVyWMwKbBSNhdv48mRyyacrLZgRnIogtQ8NDwHFc+jS4gaI7sGYec5Ay7rHRcSmCgiZ/dONDbUY+S4ieiakIjxU2dgzNixqKmpabKoao9VZDC5GWMuXryI3bt3o1u3bhgxYoSP1+nT5m5x9Y4qdeMWYatRL+EcQ67kXL7Smgu0Op3OZ9Gv1WoRFxeHqKgo2Y27NfKvEAThP5cuXcLTTz+NZcuW4c9//jP++Mc/uq2kY8/27dsRFxcn/3Xp0gWHDh1qhRb7KKClcjzuOHHiRJtMOoj2j2QB8QVRFJGbm4vIyEj07t0bABAcHIzx48dj1qxZ0Gq12LZtG2pqajBp0iRERETI+wZKoARC8NhbhUNCQjBlyhQYDAZs3brVIVtwUVERGhoaMHz48KslShgazU0nfhzHISQkxGWCtODgYMXtEgWbi28g5hb2kyqtVmuzyiqYYUriyt3Ej+d5CFcnwO0ZpeW11Gp1wN5NUWAQ3MSQC06GTO8i1n/3bcCzZastS8n4Y4VOSEgAgBvKCi0IAgzWlq+CANjcj92dRxAZvi+uR1yICiPjbWOVVsVDe7Uk1YzkUKh5DuuLHSdORw/l4+KF8xg0bCRi4mwu1hzHoVdqKubOnYvU1FR5UbW0tNTh/NLYYt9HGWM4c+YMsrOzERYWhkmTJvks1ALlvu2uX3pLJC/VoLf3LrG2goBubhy1UvwdK6Xf64yMDFRVVeHy5ctkhW6HOBsQ2pL21JbWxGKxtIsQh4aGBsydOxcZGRn4/e9/jyVLlkCj0eDhhx/2uu8nn3yC//f//h+WLVuGZcuW4YMPPsCtt97aCq32UUDHxcWhrKzM5Xfr1q1DYWEhkpOTA9Eu4gbDn4lbUVER6urqZEFpT3x8PObMmYPRo0dj4sSJ8qRXIlCTdo7jfBKl7rCfuMTGxmLcuHGoqKjAvn37ANgywB48eBDdunWTr0Vyt3R2P9RoNM2ewNjiLW3HVRpv5wmpPbL12YfHrVarPQpoo7V9i2cAUKrvVSpVwOr9WiwMFjODychgMomwWGyCWhRZk7rPgOc+odRjwB3uREBrJUtzhz/3OyoqCsHBwTeUgDZZrDC30iKUKLoXl3vLDahoFHBrahhUHKDiOKh4QMNzAMehk1aFSd2DkX/RiNIaW9m3stMlKC46ipTUdKT0dnSxtgi2LMzjxo3DzTffDK1Wiy1btuCnn35CXV3d1W2YvC1gC/nJyspCdnY2goODMW3aNK85MVxfZ2ASiLk9vhcxLHm9qNTK3Lh99U7yREtboZXkKfGERqNB7969oVarZSt0e0xA2VGpq6vD888/39bNAGATkU8++WRbN6NN+Mtf/uK2MkxrsmLFCpw+fRp33323/NmCBQuwZcsWbN682e1+0pz5nnvuwV133YW77roLc+fObbU5h09nufPOO/GXv/wFQ4YMQWVlJbKzs1FdXY2cnByUlpaC4zjceeedLdVW4jrGV+uz2WzGwYMHER8fj+7du7vchud59OnTp8nnga6vG4hJh3N7evXqhaqqKhQUFCAqKgqNjY0wmUwYPnw4OI6zCdyrEyiTVYROxUHF2yzZ/ljVnLFamOyCaJsINu8apQmV1DalFlnANgG0WCxNakJznG1S3d6tz4Bv9akD8T7ZLM/X/s1EWxs8rYWoVGq34kytVjXLJdVdf2st923GGEQBUKmbnkulUvlkgeI4DgkJCTh79myb1JENdE1oURTRYGodKwNjDGAMghXgeMd33WQV8d+TDegZqcGAaB1EAdCopfrjNhFtERgmdg/B7gtGrD1Rj/t7CsjfvwcxcV0wcOjwJuezCgy4uj7SpUsXzJkzB8eOHcOBAwewdu1aDBg4EEmpfaFSqWC2WHHi6DEcOnQIHMdhxIgR6Nu3r1+/FYyxgLhwe3rGkhu3vYu2PZK1WQqhkX5jzQKD2sU+gfxN9LVP+Yo/pejsUavV0Ol06N27N4qLizFixAifwreIlsNgMOChhx5qF14BgiDgqaeeQk5OTls3pdVZuXIlPvjgAzz00ENt3RSsW7cO6enpDhn7U1NTERERgf/85z+YOXOmy/2WLVuGjRs3YsuWLZgyZQp+85vfICUlpbWa7ZuAjo6OxgsvvIB//etfOHPmDFasWCF/1717d9x3330YOHBgwBtJXP/4KqALCgpgNBplQekL7fFHUhIS9qvgmZmZqKmpwd69e8HzPHr16oXo6GgAgEV0TPZjsIgID1I3a1VeQhCYg3ugbc7bPKEgWZ6le++L5uV5HryKh0lgCLGb+PE8D7MHd9D2hMBsz4tvJbHlysLsDZVKhZCQULffMxGAn5rN3bvTWn1RFGzvtTsB7dz3vJGQkICTJ0/iypUrTRJmtgZWqzVgAlpvFnxa4FFKnUloUsddFBnEq+8mb+bAq649j93nDagzi3h4cCQY44CrollCq+JhEUQEqXn8okcoNhRdxq6z+xEUHIIR4ya4FIACYw4ik+d59O/fHykpKdi/fz8O5uej+ORJ9Errg5IThWisr0dycjJGjhyJ0FD3fcEbgRiSlLhC28rQuf7O3tKsUqshmm0We4vdooI90vskXhX/KjfCXAktaYHWaDQBGTckN+6ioiIUFxf7nZizrflwXzlOVQWuZFsg6Nk5CI+M7ObXvps2bZKrHCxevBijR49GUlISPvnkEwwcOBCHDx+G1WrF66+/jrCwMBQWFuL777/HkSNH8Ic//AG/+c1voNVqsXPnTnAch6+++gonTpxAZWUlVq1aBZVKhZkzZ+L+++/HxIkTYTAY8M4776C2thYnT55EY2MjXnnlFYwcORLbt29Hfn4+qqursXjxYvTp0wfz58/3eg0nT57Ef/7zH6xduxZffPEFnnvuOeTl5SE5ORlvvPEGxowZA8Am0JcvX44LFy7g3LlzOHv2LJ577jnMmDEDFy9exIYNG7B69WosX74czzzzDAoKCvDDDz+gV69e2LVrF3744QdERERgz549GDNmDJ566in5t/bzzz9HYWEhKisrUVRUhEcffRT33nsvqqur8dVXX2Hjxo34zW9+g4MHD+Lbb79FWFgYli9fjlGjRuHUqVPYsGEDAGDp0qWIjY3F4sWLYTAY8NprryE2NhaCIGDbtm146aWXMHToUPnai4uL8c9//hMxMTH497//jcuXLyMzMxPjxo3DCy+8AADYsGEDduzYgfr6ehw+fBjz5s3DE088Ibd95syZUKlU2LhxI0wmE06cOIHp06c3uc8JCQk4ePCg2+cwduxYJCQkYPv27fjkk0/w9ddf4+OPP8bUqVMVvInNx+fRJCYmBk899RSMRiPKy8thtVrRuXNnxMTEoKqqqiXaSNwA+CKg9Xo9jhw5gpSUFMTGxvp8rtbOQq0EabJkH/PM8zwmTJiAjRs3oq6uzqH8ltlJIFlEBsarA+O6bW46+xNFoLm3zV7c+5rpV61Ww2K2gKmvCXmO42C4Dty3JQSROQiGlkIUWEDiL5scl/nviSC93/b9vDUzwttc110vBEnt8MU1uls32+Tw/PnzbSKgBW8BsAoRGUODKfCWnh1leqwqqvN5v0FxOvSM1MJiEqHmedhrODUP8BwHkTGM7KJDWf5RmC0WRPYfD43W/cKhhTHonN7b0NBQW2hPci/k5+zD4bz9CA0Lx+Sp05CclOhzu50JhIBW4lItCgzQNN1GEB1zTKhUKkhPWWQMVtF2f53PJ4gM9WYBQWq+WQLaVX8PBDzPB8TDCrD9pnTu3BlxcXE4fvw4hgwZEpDjEs1j7ty5WLlyJQCbCzEA9O/fH/Pnz8evf/1rWK1WpKeno1evXnjyyScRHByMnTt3orS0FIcOHcKSJUuwa9cucByH//3vf1i6dClyc3PBcRwEQcCaNWvw8ssvIykpCQDw8MMP49lnn5WNe3fffTfuuece5ObmYvLkyVi7di0MBoPcFiUEBwejuLgYpaWl+PHHH/HBBx/g9OnTWLRoEe677z7s27cPMTExeP7553HTTTfh8ccfBwA888wzWLBgAXbu3Inw8HCcOXMGBw4cwH/+8x8sXrwY//rXvxAREYH169fjm2++wcqVK6FSqbBp0yY8+OCD6N27N+bMmYPly5dDrVbjjTfeAAC8++67eOqpp5CYmIhx48ZhzJgxeOWVV7B69Wo5Iddtt92GxYsXIysrCz179sTtt9+Obdu24emnn5bv1dKlS7F+/Xo5CVdFRQUeffRROdSwoaEBv/rVr7Bs2TL5PPPmzcOkSZPwzDPPAADWr1+P/fv346233gIAfP/991i4cCFiY2Nx7733ArAlnJaoqamBKIou68WHhoZ6zKhtbz3fsGEDnnrqKSxcuBB5eXno3Lmz4ufpLz4J6M8//xwPPvggAFvcUc+ePR2+379/P+Li4hxWKwgC8E1AHzhwAIwxr/WcXRFo9+1AolKpmkyMtVotZs2aBb1eLw8ggouSTbYJkqrZlmJX4hkIjIC2b5fSKiwSKpUaFphhZQyaq8exMq7NS+74glUENK2gF/2xPiuhuaLc+b1U4r5ttTKoVM1za7clKLT9v82Nu+k2arV793VXBAcHo3Pnzjh//jwGDRrkd9v8JVBu3HqzCME5o1wzOX7FhNXH65ARrcWIro75IQQrA8O195NXcbJXBs8BA2J1cp/WuvAW0Kg4mKwMVZcrEG66givRfbHtDIecmir8qm8ndA9valq1CoDOxW2yMobY+G6YMutWXK64gNj4rgjRBSb/AAuARV/Js2XMJqKdF+ac45wlLx5RkNy4bQsSEhzHgYFDw1VvBLPAENRMY6xKpfJZQFtFETzHufXUaa7rtj32ycR27NiB8+fPB6S0Vmvjr6X3emLBggUYP348ANu7Gh4ejtLSUgBAcnIyevbsidLSUjzwwAMAgBkzZgAA1qxZg7i4OPmdmTdvHtasWYPKykokJSUhJycHu3btwqpVq7Bq1SoAtrE9LS0NZWVliIqK8qu9CQkJyMjIwMaNG/H73/8eHMeha9eueOmll/Doo49i1apV+OUvf4kvvvgCKpUKe/bsAWCL/R48eDBOnTqF6dOno1+/fgBsiwppaWkYOnQoBEHAc889h/fee08eI2bOnIlly5Zh7NixMJlMeOeddzBr1iwsXrwYAFBfX4/MzEyUlZVBpVLJnoyzZ89Geno6AGDixIn48MMPPV7XhAkTHJLxdurUSX4OgE3jnTt3Tq7vPmHCBHTp0gWVlZXyNn/729+Qnp4ut81kMiEzMxMVFRXyNl9//bX8/9KCmat+z/O84hwms2fPRkREBO644w7873//c4inbil8GkIvXrzo8fvevXvj/fffb3UBfeHCBZw9e9ZviyXR8ih1n6yurkZxcTH69u2LTp06+Xye9uyi5W7CFBQUhKCgIPnfzm6RHMdBq7NNPA1WESF+qjRPGbcDEQfd9HjKkWoVm60iNFcNEGbW+qWPmkNLuMk6I4qByZruiuauVTh7WHjri6LIbLH4Iic/c3+w14eCyKBy8R7768Z99OhRWCyWgCV+84XmunFbBAajVQAL4AtzWW/FJ4drEBeiwkODIhFsp9IYY7Cam45daq3j8xAF2yKg2sWEScPzMDIrCo8cQEhoGGZPGoTcS1asO1GPN/dewYTEEMzqHeZwXndJsyxX3wuVSoX4hO4et/WV5t5SjuOhVit7pwQBcM415uo61Co1zMI1N257bx6beBZlq7WUwbs5YtWfOGibsGdy1nV7/C075wm1Wo3k5GTs27cPR48evS4FdEfg6aefRnl5OT766CNbUlGzucnijP0cScJsNjvkqkhMTATHcXIy49zcXISFhflkXfYV+z4kLQKcPn0aeXl5EEURL730ktfQO/trO378OC5fvix7QUnnuOuuuwAAhw8fRn19PR5//HG5Oo0StFotTCaTx23Gjx+PUaNGYfXq1fJc3KGiwdUwkTNnzsjn7t69uxx3XF1djZKSEvz1r3/F5MmTFbUrKioKWq3WZQWnxsZGdO3aVdFxAOCmm25Cjx49cOnSJcX7NAevamPv3r04cOAAANtNe//9911uZzKZUFhYKN9gX9i9ezcKCgrQtWtXnDx5EpMnT8bgwYM97iOKIrKzs5GVlYUJEyZg9OjRfq8mES2LKIqKJ665ubnQaDR+W33as4B2TvbiCpGxJhmptVqtPEgbrQw6FfPZ/Y6J17Juu/6++XHQ8rEUlrByRqVWw2Q0IphxEBjAmuFi2BZYW8FaLrRwHV9PSYu8Yf/ueHPftg8lEAQGlQi/zyvY9RephFIg3LgTEhJQUFCAiooKJCY23+1XwmQyobq6Wl7Fd0dz3bj1FuHq2Nusw8gYrCI+zK8BGPDIkCgHEQtISa9EXL5Yjpi4rlCpVLJ3gP2zFQVb7LOroUbFA+Vlpaivq8HQEePB82qMStBgQJwOG4rrsa1Mj7yLRtzVpxMGxtkmneLVzNP2ibMYYzC7EJmCyJr1jkvHbu499cXSKggMGni2QANXs3FfnX+JjMnePKLIYGQMKo1jGS+ryKBpRsiJVGrRl3tpvbpQq7UbGjiOg0ajaZFFKrVaDa1Wi7S0NBw5cgQNDQ0uXUWJtuWf//wnsrOz8fHHHyMiIgLLly9XtN+CBQvw448/Yu3atbj99ttx5MgR/PrXv3Zw362srER9fT3Cw8Md9jWZTAHJKWOPZPSxN/6cPn0aGRkZis8tLUqdPXsWaWlpLreRjussoJt7TceOHcOjjz6KN954A3fccQeqq6uxadMm+fsJEyYgLS0NH3/8MSZNmgS9Xg+z2Yx77rmnSducMZvNbsMzBgwY4DIbeHl5OSZMmODTNURFRbWaIdWrr+vIkSPRpUsXbN++HVeuXMH27dtd/u3duxd1dXW4+eabfWrAli1bsHLlSjzwwAO49dZb8cADD+Cdd95BUVGR231MJhPefvttZGdn45lnnsGsWbNIPLdjlLp5SZ4EAwYMcLna6I3WyvjrL1JpDk9ttIiOtVpVarVDmRLGGBotvps/rArm4oEyVPlr5LGvCW1h7dMN3xOC2LJ1dpnIvNaGbfY5ApSJ21tftFodz+VpcccTothUzLh7j321bsXFxUGlUgW8nFVubi42bdqE2tpaj9tJbtz+YBZEWEUGMYCx1F8U1OKS3oqHBkUiNqTpQmXlpUvYuWUTcvZsw/FjB6/t65Cw0NZHtCrX/dtqtaLo2EFERkWja0KSzSWcMYRqeNzVNwJPj+yMcA2PTw/VwGSXH8E55MXK3PfF5i50NbeLazRan99F+0UiSfw647xoZbHa+keDWQTjmt5v53vmDVtlCBF6i4A6k4Aakwi9Dwt6osggiEzOHi4J55CQEIdF4kCjVquRnp4OxpjHeEqi9eA4Tp4X5ufn489//jMeeugh2X1Y6ZxxwoQJePnll/H999/j3XffhdlsxmuvvSZ/n5aWBlEU8cknnzjsV1ZWhu+++65JW5rLmTNnAACTJk2Sxe9HH33ksE1NTQ0+++wzt8fo1asX1Go1PvroI4cxTK/X46effkLPnj1dfm8ymdwaOD1hf+2LFi1CSkoKRo0a1eQ7wOb+vnLlShiNRixZsgRffvklvv76a/m5RUVFISYmBl988YWDMZUxhn/84x9ux+Q5c+agqKgIer1e/uzUqVOoqqrCvHnzFF9LXV0dzp49q9j63Vy8mus4jsPcuXMRGxuLn376ya1fuVqtRpcuXRz8571hMBiwcuVKTJs2TRZM0dHRGDJkCD799FO8+eabLvf74IMPcPz4cSxdutQhGJ1onygRFYwx5OTkIDQ0VI4L8ZX2bH2WUKlU0Ol0MBpdZ9U02U1I3JWssggizALndhLqDGNMkeWyOVmY7fHH+iyhVqthslqhUgekKa2OwAAXoZ0BQckiSHMJVCZuT31RFJq+j0y0WdddZdH2hKvwXlFgULmwrKnVaq8ubM7bx8fHB1RAm81meRJfVFSEkSNHetzeXzduaRwJ1MRw48kGHLlswh0Z4UiPdrRwmIxGHDmYh7LTJQgODkV0TBeUlhxHcq90hISEgYkMIrMlCGPsWu1nVxw/fgwGgx6Dh4+75n4sAtzVW5AcocXt6eF4N68axdVm9I+1zRsEgTnMZiweHA2sIhwsoL7SnFwBPO9fHXj7d9qTG7pKfS3Phlm0udQLjEHjIi+Iu2zdrmg0CzC6SOjIOOVWaGnhQgQDr1IjOChw8c6e0Gg0iIiIwJ133okuXbq0+PkI73Tu3Bm5ubkwmUzYsWMHACAnJwdTpkyRy+NeuHABly9fRmxsLERRdOk99Pnnn+Pnn3/GnDlz5AXcbdu2YezYsdBqtZg4cSL69OmDN954AyaTCRMnTsTp06exfv16Wdh27twZlZWVqKqqQllZGfr37+/TXLKsrExOwrVixQrMnDkT48aNAwBMnToVK1euhFarxZw5c3Dp0iV8+eWXWLZsGYBr47P9tYWFheGhhx7Chx9+iPnz5+Ouu+6CKIrYvHkzli5dirCwMNx333347LPP8Mgjj+D++++HXq/H559/jhdffNHhePZzb8myLYoieJ6X46RPnDiB4OBgmM1mnD9/HlarFdXV1aivr8fOnTvla+zUqRNqamrw61//Go888ohs6c7JycGQIUNkl/PHHnsMS5Yswd13343f/va34DgOK1euxIMPPij39/nz54PneTmZ3Pz58/HRRx/h22+/xYIFCwAAn332GTIzMzFp0iQAtt/LBx54AM888wzmzp2L9evXY926dVi0aBFGjBgBQRCwePFiPP/88169uwKF4rfkpptuQkJCgscYksuXL8sPRwmHDh1CY2NjEzeF1NRU7N692+HFlDh8+DB2796Nu+++m8TzdYKSSdzp06dRWVmJ8ePH+yWEOY67LgQ0YJuYazSaJvFj1qsr9MBV8ezBWq03i9AEcYomIKJC4RWoOOjmlG2WakI7Z5C9XhBE1zVYm4vSRZDm0pxM3NK478l9mzH3oQQWCwPvQ0IxxpiDZU5CEFzrAqldvlh1ExISsH///oC5fp48eRJWqxVRUVEoLi5GZmamx3HLarX67JInMiZ7sohKO78Hci8Y8OPpRoxJCMaExBD5cyaKKD11EkcPHYDVakXvtH7onTEAFrMJW39cj+PHDmHIsLG2ba0ANDbx6W7hz2g04uixAnRPSER8l3hYrg4kzjHAPSO10PBA0ZVrAloq+8dfjXN35b4tYfVBOLrC38SGNg8k/yytggCor4YmeLIcq1RqcJxZLk0owH25LOn3xls4kMhYk7wc8vnUtrjrICUCWgB4FQ+tVgdeo2k1bzFpbhAVFdWuPdQ6EgsWLMCuXbswbdo0PPfcc5g8eTI++ugjZGdnY/Hixbj//vvx9ddfY8WKFejXrx927dqFiooKfPjhh7j55pvRvbstp0FcXByOHTuGgoICVFVVwWg0gjGGQYMGYdOmTdBoNFi5ciWef/55fPDBB/jiiy8wefJkvPPOO3IZu7vuugvr1q3D9OnT8cwzz3gNH3Xm008/hSAIuHz5MuLi4hws4MuXL8fzzz+PVatWYfXq1Rg9ejT+9re/oUuXLsjJycG3334LAHjvvfdw//33y6GLL774Iniex6pVq7Bv3z5MnDgRr776qvwb9PLLLwOwZbj+6aefMHToULz44ovo06cPampq8PHHHwOwZcTOzMyE0WiUXbGXL1+ORYsWYdy4cRg2bBh++9vf4r777pPF5+uvv46xY8fi7rvvxuLFi3Hffffh//7v/7BixQrodDoEBQXhvffeQ3l5OfR6PQRBQFBQEFavXo0RI0bgscceQ0NDA7788kssWLAAffv2xbPPPoubbrpJvi/V1dUO9zA8PBzff/89Xn31VVRWVsJoNKK+vh7ffPONPJcwGAyorKxETU0NAJubfFFREebOnYvZs2ejS5cuuPfeezFixAifnl9z4FgAfQ5zcnJw8OBBLFy4UNH2X3/9NdauXYs333xTDvoHbJne3n77bTz66KPy6oPE3//+d+zduxczZ87E5cuXUVxcjPDwcNxxxx1y7TVvuPK1bw1iYmIcstV1FAwGg8dJq1R6QKPROKwk+oJarfbL7bulUPKsjUajw8qj3izCJIhexbNEsIZXlFDMZBIVW010CkW5J9xZK5RiNBpskyyF78HRS3pcbrRgYopy75dA0rlzZ7mEX5CaR2hzzFtusFpYi2XftofjAF2Q/4sXjY2NUKvd1yu3mF2LXgmVmoPGRdkeVwhW92Jco+VcWqEtFotPVujq6mqsXbsW48aNQ1pamsOz9hXGGNauXQuVSoURI0Zg8+bNGD9+PFJTUz3uFxQU5NPioNEqotEsQBAEmNx4uiil+PxlZO0/hDA1kB6tc4j5qqurRW11FWLi4jEwcwRCgq/F/RUeyUfJiaMYP3kWIiJt8YhqLQerBQjXquBKb+Xm7cOJE0W4edYchIZHoNF87TdDpeEcrJzv51XhilHAi2OvxbqF6XhoeB5mQUSj2fP4E6FTebWaunvWZpN/ceVarRaaZmTLk97pOpMgLy64wmQ0OvzeqlQq6Nz8NoZpVdCpPfd36X1yi9UCHe99vK8zidAGBdlct1U8OrlKnd5CCILgcTGqpedm9gmh3HH+/PmAlfDqCDDG8Mc//hELFy6UM00zxlBbW4vly5fj1ltvlUtXtQRvvvkm3n777VZLWNUe2LJlCw4dOoQnn3xS/sxoNOLw4cPYtGmTLOxvJMxmMxISElx+57PJbvfu3XKyMHvtLYoiiouLUV1drVhA19fXA2iaXU/6t6sYsePHjyM4OBiTJ09Gjx49IIoiVqxYgX/84x+Ijo6WO5I9WVlZyMrKAgC8/vrrbVLXE7CJvLY6d1tSX1/v0Y07Ly8PDQ0NmDt3rt/3Jzg4uE0y5bpDybNmjKGxsRGiKNqsGgYrwq9OdpSIWI7jEBWs8WhBEEUGo0G5FUoXpHIpPHxBY7DA3AwztNVqVSwYRMbwZdY5XKw3YUhyF6REh3jfKcBI9UYBQKPiERkc2PeQMQaDvhX8t68SEuq/J4dOGwRdkA5abdN7IAgMJqP36wgK9i5uAMBkFNyKcbWag9bFBF0URTQ0NHg9tkRUVBTCwsJw+fJljBo1yuFZ+8q5c+dQU1ODX/ziF+jbty/27duHkydPenXj1mg0CA4O9riNPdV6C3SiCLPZDHMzFhX1+kYU7NmGWKsZnTShqKt2zJKq1mhw05Tp6JmaDlGwZVSXGDJsNM6dKUFxUQEmT78VgM2KrAaHUBelpGpra1BcfBx9+vRHjx62jK4ag1nOp8DxcHieQ7qL+PLQJVg1oYgJtR0vSKNCqFaFBpMVGi8LeGE6tVfh6OpZiyKDyej72KZSqRAS0ryxSaXioAtSgWs0e7SCWy0WhxAhrU7nVpjp1Cp08lLPSnqfPBEMq0dvB6vIEMRdy7LNcRyiQ1rPCg14TmLUUedm1zPr169HXl4e3n77bfkzjuMQGRmJnj17+u3Ge8stt+DChQset9mwYYNfx76eMZlMWLRoEdasWePweVBQEDIyMnDkyJE2alnb4dNMKSsrq0lAvDNS8Lmik1+dJLvKmGr/vT319fUYPHgwevToAcDmNnjvvfdi586d2Lhxo0sBPXXqVEydOlX+d1tZgTuiBVoSie4wmUzYvXs3unXrhk6dOvll3eE4DiaTqV25Zyl91qIowmAwwGARYBZt5ar0BoPi89SreIR7WMn3ZvFzRq3moFZoAXRHjcHarDhoXzhyUY+KehM4AJ/sPoWnxrZ+zUx7SxXHcbAGBzaUwGp1FCctTUMj53eW4ro6A7QaHTjOJnp4ngPP2yzbZpOy7MU8D2h1nsUNYwwmo/uDebKk6/V6n2KDu3btitLSUlRWViImJsZvC/T+/fuh1WoRFxeH6upqpKamYt++fSguLpbj0VzBcRxCQkIUjW9WkaHWaPNqcbZE+oIgCNiZ/SNEqxn6lHG4Y2QPt9vW1tbCam6atKtXen8cO5yLkuJCxHax9csQrQoWQ9Pr+PnnbeA4HhnpfVBTY3PvM1pFh0Rh9lbo5FDbde0/fRljutuEqYrjYNDxqDN5r/pgUPEI0Xp+x1xZoC0W0WVIDMfx0Go1EAQRoig4vF8cxyEoKNht3gtfUOs4+fm6gzEGo0Ev9zVdUJDbkAqe42D2MF4JIkONl/MBQIiGB7OY3PYrUaVpkhjS0qCCRmEej0DgqcpEe7BAE75hNptRVFSEjz/+GHPmzEFERAQuXryIH3/8EZGRkYiLi/PruBs3blS0nfSue1qYuZGQ4tDfeustvPDCC0hJSUFDQwPy8/Oxb98+PP30023dxFbHp5ne1q1b8eSTTyIlJQXFxcXgeV52P6upqUF2djYefvhhxceTYpidf1ikf7ta6Q8NDW3i2hkWFoa4uLg2c80m3ONtolpQUACTyYThw4f7LYDbe/ZtT/A8D51OhwarEbog38sPmAURFoFzORFxFyPqiebGQftbwspftp6uRbiWx/TekVhzrApHL+nRL671rdASjCmLK/QF0cdn2Fz8fXyiwKBWaeRjMMG/tovi1dJWHjwhXCUPs4cx27l5N8nEfCm32K1bNxQXF+PKlSt+W6kMBgNKS0uRkZEhe8r07t0bubm5KCwslJPOuMLWjwVFXhn2nh/+JhBjjOFgzl5UX7mMY2EDcWuy58RLUmZtZ3qkpKL0ZBEKj+QjJi4ePK9yWfu5svIyzpSVYkD/QQgOvtZ3NTwPE+yuR7AtrgBAfKgaEToeRVfMsoAWrsbqKolK86cetCgyt/kkdDodVCoVpEckPTNRFMDzKr/CklxhVhAaY4t5vhbr7+ncrkqA2WNS6ElkEYGwoCAYDIYm91+j0cDEVE0GFovIoCACyWfcJSO8XucIhGvmzZuHqqoqfPrpp3j55ZfRqVMnjB49Gr/73e8wZMiQFj33li1bZKH92muvYe7cuRgwYECLnrOtCQ4OxurVq/Haa69h1qxZEAQBGRkZuPvuu/GnP/0pYGPc9YRPAjo9PV22MMfGxuKbb76R445jY2Nx+fJlrF69Wi747Y2ePXsCAK5cuSJblIFrFmL7uGiJhIQEl67dISEhHfIBtnc8TeIaGhpw9OhR9OrVy6MFxhvXS/Iwd3C8CmqN/7X7Gi0iIvimscv+GJ+am7TX3xJW/lClt+LgBT1mpEZieu9IbC+tw3+OXEGfScHg23CyJDAGlZtFCKmGrBILr61cDWC2tkxiMrfn9TMTtyB4nqz7gtXCwHHu75OShSFBdEw+JeGPgAZsMYrOHk61tbXYv38/QkNDMXr0aLeT9BMnTkAURYd6oDqdDj179sSpU6cwYsQIj1YMpQL6WvZtwaWQPHY4H3U1Neg3OBPhdrVK7Sk5Xoiy0yWwdklHjdgVfWM8j03OZwlSq6BTcwDUGDJ4KHbt3oGqC2Xo2bN3k32rq6uwd98uBAUFoU+f/g7fqXhbSIQU72ufzZvjOGRE61Bw2SgnD7O/fm8IzPd60O6S+Gk0miYW3mtJLQP722Q2MwXFR23JvQRBAO/id8EZi+B+fDErvJ9WkQEcj6CgIDmRE3A1YaZWiwZD0xUvX7KA+4JVsI2xzfWkIto/jzzyCB555JFWP+/kyZNbrVRSe2Lo0KFYvXp1Wzej3eDTbMdeDPE8j5CQEBw7dszhs+3btys+3oABAxAeHo7i4mKHz4uLi9GrVy+Xbi/jxo3DqVOnHOqFAUBVVZXXZCxE6+NJQOfn54MxhszMTL+OzfO8y8nL9YY/1hB7BJHB6GKi42/WZrEZ7WlN6/P20joAwMSUTtCoONzetzPKas3Yd1Z5jGtL4Ol5WszurVgiYzBLdVaNVlQbBdQYLA5urK2BP1mG/fF28Hw8m8u32SQ2Oa6r2s+ucGf95nneJ6EfHByM6OhoBw8nq9WKvLw8rF27FuXl5SgqKsLhw4ddt0MUcfz4ccTHxzepHNGnTx9YrVacPHnSYxuUuGKbBVF+dqILy6HJaMCJwqO4cP4stmxej2OHD0JwKg1z8UI5Cg7moWv3RBzgktEvVgett5wITqeyF2M9eqSgc+doHDqc75Aw0WKxIO9ADjb/sAFGowGjRo5zmcMiWM07LIYxu+b2idZCb2E4W3ftQ19yolo81Ip2RhSZy8VF229Q67hvMlGAyWi2FVF3/nPC5pVlK5vlDXcJycyCqHg8t9WIZg6lFyXvKoubfmhfdSKQMNEW9tKc3zGCIAhv+CygX3nlFbzyyiuoqanB9OnTsWzZMnzyySdYtWoVPv/88ybC1hMqlQpz587Fjh07ZItAdXU1cnNzcccddwAAPvnkEyxevFj+8R0/fjxiYmLw448/ysc5evQoTCYTbr31Vl8uh2gF3AnoqqoqFBcXo2/fvorKw0glaLRaLYKCghAaGoqQkBDoFGSrbu+4m2D4gsEqOkxGREGZyHBFc6zQzSlh5QtWkWHHmTr07xKC2KtJhEZ0D0OPSB2+O1blMUttS+Pu1LZJnfsFijqTgHqTAINFlMsQMREtMsn0hD91bgNQLcn1cUXbooPJTkh7c9+WYMz9vfbVayUhIQEXL16E2WzG2bNn8d133+HQoUNISUnBvHnzkJKSgry8PJSVlTXZ9/z582hoaHCwPkvExMQgJiYGRUVFHsWcKHqP67W3vgouOnHpqZNgoohxk6cjIbEHjh89jOzN61FRbqtzXV9Xh5xdO9CpUwQi00eg3sIwpIt3zxj7U/FONZ45jsOQIcOg1zfi+IlCMMZwpqwUGzauRVHRUfTqlYrZt9yOhITuLo/NcUCwnZ+vKF4TvVI96sIryrOq2yMItkVGJULL3WKkVtt6vz+i0QCxsQGssR7QO/05PW+O48Cr1OAVxBhbmeuFB6XWZ3n7q/1To9FAo9Eg6GoyTE9lt5q7eOwMszuexUVcPkEQRKDwaRYxd+5cvPzyy7hw4QKqq6uRkpKChQsX4u9//7sscCdMmOBTA2bNmgW1Wo0PP/wQSUlJKCkpwe9+9zvZKllbW4va2lrZhU2n0+HPf/4zvvjiC6xYsQKhoaG4cuUKlixZQnWhA4SnZBu+4k5A5+TkQKvVynXvPGGrn6m77l213RGISQRjDAaLiLCrCcWUWgMFoamrrCgwwEUMmRL8rZHqKwcvNKLWKGDS4GtuqDzH4c7+0Xjr53Jkn6rDjNTIVmmLM64ELxOvJQITxaZ9THBjjRHFpi6yLY0/jzCQ1mdXsKtC2sr5tjBkHzdrj69eKwkJCTh8+DC++eYbXLp0CZGRkZg5cya6du0KwLawW1dXh23btmH27NmIioqS9y0qKkJwcLBDmJK923FGRgZ+/vlnXLx40WPmWE9u3FLt52vX7biiwUQRpSeLERPXBbFd4hHbJR49eqXiYO4+7NmejW7dk1BXVwuO5zDqpsn471kBGh7o58V923bsa+d15Qoc36UrunXrjqNHD+NixQVcqChHVFRn3DR+ImJivCf6UfOATs3LnhiiAKjUQLiWR2K4GkVXTJjR0/ca3WZBhIrjIQgMGq37cAF31meNRttq3k9MFGExWa62B2hyWosJ0DlmalerVOAUeFqwq++OhgdgtYLTaGzeMHbP1WAREaxxcSxBkBsjLfpJv9cSVg9jg0Vg0AXwZ91+CGXMttimbj/FOQiCuIHwaeiKiIjA0qVLodfrZathZmYm3nrrLeTl5SEqKkpxLWZ7pk+fjunTp7v87qmnnmryWXR0tMvPicBgsVigUqmaPTlwZzW5cuUKzp8/j+HDh7utyyhxo4tnQQxc0i2TIEIn8FDz3uOfGWM4V2rBySIjouPUGJh5LXlPsyzQraT2tp6uQ3SwGgPjHROG9YkNxoAuIdh4vBrjeoQjrAVqMntDYMxBIAGA2SmLNhMBzq5p7hZRJHES6MRk3mAiA6fwfIy5Fhgtga9dRRCYy1hIlcqW2Elpoq24uDhoNBpUVVVh2LBh6Nevn8P4qFarMXXqVKxfvx5ZWVmYPXs2goKC0NDQgLNnz2LgwIHy9qJoEydBVxepevbsif3796OwsNBvAW22S57laty9WFEOfWMD+g0eKn8W2yUeU2bcguLjx3D8yGGIoohxk6chODQUBy9dRt8YnddST84LZho37t5DBmdi0+b1qLxyGcMyRyI1Nd0nN3qdiodVsI2VtuRwtt+GjBgdsksbYbSKCPLSVmcEkUHgbLHWVotNREuLWlJ4EACX9dd5XtWqZRMFswkGy9UFBJcC2txEQPM+JNc0WwRoLAZAsIKFdYIZvPwO7T/XgA9zLmJMUjjm9Y++Vr/ZagGMeiAsAsA1IW7v8u/t982TddofnL1nrFYGnofLZIIEQRDNwWdVwvN8E5fbbt26yfHKR48eRb9+/QLTOqJNsFqtYIw1W0C7i9uTksTZW2RcYSv/4b4Ex41AoCcQeouAUC/3q65GQOFhA+pqRGi0HC6et8LYV0RQ8LUJqK8Jduz3a2ku1JtReNmAX/bt7DJZ2Lx+nfHSlnP47/Fq/GpA29T2FMRrGaCtFtZkYic6Jbhy5cZvb9mztrKAFpnyPGJKXarbAsbcLwaoVCrFAlqlUuGWW25BXFwcLBaLy21CQ0MxZcoUbNq0CVu3bsUvfvELFBUVAYCD+7ZJdHwf1Go1evfujaKiIhgMBrc1nz211T5O3tV2p4tPQBcUhG4JiQ6f8yoV0vsOQGKPnjCbjIjsHI2SajPqTCIGd1FQQ9r+VBwHlRvBFhkZhV9MvxkhISEOmbaVIrlyN1gE4GpoA6eyxUH/dLoRxVVmDIjzreY1EwCrypbwjzFJRNvar1KpEBwcDJ0uGILVDIFZZUEpLeq2ZuiQXm+C5IvCRNt77XB6UbTFQtstsChun8hg0TcA6qvjjb4eJo1tjmcRRPzn6BV0ClJh79l6HLzQiLn9OuOmpDDw+kZbm+ys0GYrg/2apbffN29ZwH3F1YK9xcKg5SkLN0EQgSXgaat/+OGHQB+SaEVspTdEv+uH2uNuwlddXQ21Wo3w8HC3+3YE8Qx4dm/z63gig97k+tlZLAxFhw3Yt6MRRgND/6HBGDE+FABw/oxjVmJ/LIqtVcJq2+k6qDjgph6u35/uETqMTQpH9qlaVDa6FjstjaRnRJG5tGA5LzS4mmjaP4PWco2X8CUOuqXdt5uLu6HMV6+WqKgoj2MWYLNUjx07FhcuXMDevXtRXFyMxMREh0Vni5XB6vQ8MzIyIIoiTpw44fbY7jx6BJE5eDCITgHp+sYGVJSfQ3KvVPBuxtOQ0FBEdrZVQjh40Qg1B/SP9S3+Wc1x8KRRoqNj/BLPEioeCLoa0ytdYkqkFlqeQ+EV5VnVAclr4v+z997hlZX1+vfnWWvtlt4zqZNpmd6BoZehCBZAkaOAqAMiYAcVBUfBhnI8vJ6jIApYOBwFKSID8kOUOgxlhuk9U9IzaZOe7LLK8/6xsnd2z04mU9Dc15ULZu+113pWf+5vuW8Z8fy1LEJtFkGyZVk2WXa7PTgcToQQOByOY+r44fMFYsTe4j4O9LEdA8De6aF+LMMItZCYhokxMAASXj7Yx+Ehg8+fVMT3V1ZQke3kf7d08uPXmqjvG362GiPbDZZxBxFI4dkQmEC9injvLTs4MmGbmMQkJjEJIEUCbZom/f39SZexLItHH32U9evXT8jAJnF8EOxltyxr3D6iQSQi4V1dXeTl5SWMCP+7kGeY+Ay0ZUqGdCuGcLW16Lz18gCNdToV05ycvjKDknIHaekK+UUaTfV6BKkbTyb5WGhd+Q2LdQ39LCtNJ9udmABdPi8PgeAvu7qO/qDiwBxW+NUD8Q9KsA8a7OxzPIIcTmKPtSbaWNSJT3SdHjOBN3CwjHuiMWvWLBYsWBDKKIdnnw3LVjY2o4hGTk4OJSUl7N27N+Fz1yZ9cdS1oy6OaAXu2v37QAiqZozuUmFJyeY2H3MKXHhSKIkOr5JIVL49kXBpdpY76D3tUASz8pzsSSIkZlqSmi5/xPEO/m90wM80bTV5RVEwDCt0DyqKgtPpxONJO2aq22CP3ev1xXwe9xLRA2MTTBgmz8FoxHCFOH5Tgqkz0DfA83u7WVicxtzCNEqznHzzzFI+vzCLwz6TH2zo4497BxnyjhDoYEYZgjZ8ow9oIoPIiZ5FwfM6iUlMYhIThVHfkP/85z+57rrr+NznPsdXvvIVDh48GLNMZ2cnd955Z8hYfBLvT0gpI6xGjiQLnWiyJ6UMEeh4+Hciz4YVnzgdCYLELNgvB+Adstj2nheXR7Di7HTmLHTjCOsLrahyEPBLOlrD7GDGQdiORfZ5ffMAQ7rFedOyky6X59G4aGY27zQNUN8zPpXeI4FpSUwjec9u8PbQExCm8LnnsbQHg9QrEE7k8u0gpEychT5az5mTTjqJyspKcnNzKSsrC30eCBtH9Hx+7ty5DAwMsGXLlpj1eQ2LAb/JgD+AbkZmosPVt6Ofu5ZpUn9gH1NKy0hLH11oq6FXp8dvsTSF8u3ooESi8u2JhsehghChZ9ScfCftQyaH43gNAzy1t59fvNfN5rYRIhrMYAe91sNh6BKkCGWjw3Gsy4AHA3rczHL8+1OmnoU2TRiMVO8OBnMDwx+9sL8Xr25x5fyRd7Xw+Ti1SOPu07JZWe7ilSY/d6w7zNv1faHrIZh1NqzUVLCjs9bjxWhB30S2dpOYxCQmMR4kJdD19fU8/PDD+Hz2i6etrS1CcRvg3Xff5bbbbqOmpobMzEy+9a1vHd0RT+KoIdj7HP7v8SJRFmVwcJBAIBChUhsOTdP+LcgzTLyFB4wQ34BphdYfLM9efHIaWTmxx7agWMPtETTVjUy+pAS/z4r7F68kGY5NBvq12j5KMh3MLhh9gn9JdQ4ZToUndhw+5nYmuiHR9eQsNHiu4mVgpCUj2Lc1Bs/aiUAqm5po7+ejiUQ2REdLnFBRFM4//3wuu+yyUJZbShlR0hodFJk6dSrV1dVs2bIlJlBtmrZA06DPoM9v0uU16PUZ9PvNiCBc9HO3pakBv9/HtJmzUxr35jYfqoCFKZRvhwfZ1Cj7qqMJVQGHECESPHfYzmpPnDLutY1DrG20rTWDBNq2hws7D1EPLiEEhiGOu4+wVzcxfQmCfzJJFno0WBYMDcRESXXLvj4tKen0mvyz0ccZJU7K04ffGYEA6PYxTNMUrpmdzvdOziLfrfDQpg5+9mYLLX2BkJ7DWKqrJqIS60SvhJnEJCZxYkBKyYEDB454PUlnDy+99BJOp5Mrr7ySiooKdu3axXPPPcfmzZtZunQpf/jDH/jHP/4BwKJFi/jiF784aSX1PkY0YQ723I0n6p6sfBtImIE+lr1lxxsT4f8cDhlFsrwBk3SnSnODTkGxhict/rEVQlA21cmBPX4GB0zSM9Th9cXfjqEPK5tGCb8cbb/ium4/td1+rlqUn9I1meZQ+cicXB7bdpgd7V4WFo+//3IsME2JqUv8DhFSWo67nCVR5ej9z0EYFjiOYWxpNCXuY6W8PRGws9ASNarMeKxq3GOBECLiOo3OtJkWEUptQghOO+00enp6WLt2LdnZ2eTn233JQf4fPk47QBZ57UTvR+3+GtLSMyguKR11vFJKtrT5mZ3vJC2eZVEUwluttWOscqypAl23kBKK01VyXAp7Dvs5o3zkHt/XFeDJPX3MK3CS61bZ0OLDb1g4op4duiVxMfKZEMf/HWRYEp+ZvHlXWsSmQEx9WKEwyT54hxKWGA0NX2jPHPQiBFw+PQ28g7bCt28oZvmpWRrfOSmLN1pNnt43wJ2vNPKBWTlcvahwTNVVuhkpPjYejKdqahKTmMSJgfb2du655x6mTp1KZ2cnXq+XO++8M0a0OhxnnHEG+/bti/m8oKCAXbt2hf79+uuvc+WVV0Ys8+tf/5oZM2Yc0ZiTEug9e/bw+c9/njPPPBOAJUuWYFkWr7/+Ok888QQNDQ1omsYnP/lJPvKRjxzRQCZxfBFPOMzOMCW2ThltffEwGoH+d1LKnOgMdPR8xZCSluYAAb+kvCq55UpZpYODe/001enMXjD6TEbXJS7XsSXQr9X24lQFZ1QkF3IKx3nTsvnngV6e3HGY+UWeuKrdE4kgeQa7XzuZtY60EgvoxJt7mlLi4NjdH6MpcSfK6p6oMIxYAg12FjoQGIcA0xgRiIopxstwqqrK+eefH7LDuvTSS3G63CHiHSzRThRoDPd/7uvtobO9jfmLl6X0XG3qNzjsM7l4Rvqoy0ZXRGjHOPAZLBeXlm1RNLfAxZY2X8g+rnPI4OGt3RR6VFYtzKGxX2ddk5ddhwMszLMz1pYJHU2CnCJJumNE1Xo87gMTCSklgwETdH0kSiUt0l95GrWvZ2RBMcKT/StWYlYOTwbjeEKHEPDbJDsBLCmp7zd4uzXAh6a6yXMr9kH2DSb8jSIE55Y4WDa1kid3HuaFmh7ebRrgqoUFLC1JG/XaMyzJ/6vpZkqmkzOnZiVdNhmOtdDiJI4MyRwHjjVOpLEcS+i6jhDiuNvEDgwMcMUVV/DpT3+aG264AYA77riDz33uczz++ONxf/PGG28wd+5cbr/9dpzOEV2Kxx57LIZf/Pa3v+W///u/Q+9Nh8PBpZdeesTjTvrW6+vr49RTT4347Nxzz2XDhg00NDRQUlLCj370o0ny/C+ARNYs4+2DTkagMzMzE3po/rtkoI9G/3O8CHxTnY7bIygoSv6AdLkViko0WhoDKZXlyjDFWhjuJTyK8xfdlGxoGeTksgzSxpCq0BTBFfPyaeoL8FZDciHEI0U4eQZ7QjdalYE/Tp8lxM/uHuuS0mQZnWPp/TxRkFb8PshjMXmwLIkeFSxJdL94PB7OP/98fD4fL7/8Mv6YyqDEz+Tw527t/hoURWHq9JkpjXFzmw9FwMLC0dsjrLAhCSEYowXzEUNVbOIWfD3NyXfiNSQNvTp+w+LBLT1YEj6/NBePQ2FGjpMMh8LmVi9yWPiu5YCgs0lQvxN8/pGTcbwz0H5j+N0QFtRxHtxF+tt/x9G4D62l1v5rrkVtqsVRs430J34zUr6dqIzbssDnTbptKSVP7BsiwyG4pGostmCSLE1y/fIivn1WKR5N4b53W/nFO610JHFCqOn08v1Xm3h0aycPbmg7onfiZAb6/YO+vj7uuOOO4z0MwJ773nLLLcd7GMcFP/rRj2hpaTnew+DBBx+ktraWq666KvTZqlWreOWVV/h//+//xf1NT08PDz74IB/+8Ie56KKLQn8HDx7kwx/+cGi5LVu2UFpaytVXX80nP/lJPvnJT3LFFVdMyHs/6ZvC7XbHbKS8vByn08l5553HPffcw7Rp0yK+37BhwxEPahLHFtHiYeEYD4FOJCAGjCog9u9CoCe6fBtiSZd3wKK/26K4XEspA1Ve5cTQoa05Nc8Pw5AhUpeqYMx4sbtjCK9ucXLZ6NmxaJxcls60XBfP7OqaUMuUcJhGJHkOIhCtUBTzfZz+ZynjpqCPdoY/7jgS4P0gHhYP8fr3FUU56s8df5xzF7RSioeCggLOOuss2tvbefftdyLORbTKdujzMJsrw9BpqD1AacVUXO7UBME2t/moznOS4Ux+LKJ7iCfKw3escKjC9oSWktl5dhH27sMB/ndHL4cGDK5blENxuj1/URXB4mIXOzsDBEzJ4Wbo7bCzz0YA9u0YORfH+x2kW9Iu/wjLFHs2voaVnsnhL95NV9hfz1fuZvCqL6L0duF652V74aAndDS8w77NSbCzS2d3t8FHpnlIG2tUZDgIP6cwjZ9/sIpPLMxnT4eX1f9s5Lm93RHvvD6/yW83tvPTtS34dItzp2XR6zep6x6f4KPdvjSun07iGMPr9XL99ddTW1t7vIeCaZrceuut/5a85dFHH+WBBx443sMA4K9//SuzZ8+OKNeeNWsW2dnZPPnkk3F/c+mll8Y8q/ft28ehQ4dCVdMAv/jFL/jd737HKaecwu233z6h111SCp7oRVJeXs5NN90U97t33nmHk08++chHNoljBtM0E06Wg6XdYxH2SkS6dV2nr68vYd/B8Z64HEtMtH0VRFrKAHQ0GwgBOaUqhiVHnejm5qukZyg01gUorUzNqkUPSJyuo7M/4XiveRCPQ2Fu4dj7mIUQ/MeCfO5Z28I/9vfyodnxBezGC9OwEpYzB6TEM1xWGvO7YY/oaPufRJndY81Z451SO9j2/ivfDsKy7GxwdJnu0S7j1hMcL0NKnAnK8qdPn053dzdbt24lMzuHGbPnAokz0OGfN9bWYug602ZVpzS+5n6djiGT86tSKN+O2vyxsK+KB00R+LEzjxlOhYosjZdqB9AtuGJ2JnMLIoXQlhS7WdfkZW+jgdLsJKtAUjpTkp4NzfsEtTWSGXPEcS3htit5pF1qPQyl9zDOfVsZOu0SUCOnbJYFxvQ56NWLcL/xAoHlZyHTMuwsdHjyw+8dNeplSckT+70UehTOKxtdRC4GZgDw4NIETlXhw9W5nFyWwePbOnlmVxdvNfTzqcUFdAzqPL2zC59h8cHqHD4yOxeJLRC5+dAg0/PGkvm28a9Mnre+N0Bv14kVsczO01h80uiq/vHwwgsvhPzuV69ezWmnnUZlZSW//e1vWbRoEdu2bcMwDH7605+SkZHB7t27efbZZ9mxYwff+MY3+PznP4/T6WTt2rUIIfjTn/5ETU0NnZ2dPPHEE6iqyiWXXMKnP/1pzj33XLxeLz//+c/p7e1l//79DA4O8v3vf58VK1bw+uuvs3nzZrq7u1m9ejVz587lmmuuGXUf9u/fz5NPPskzzzzDI488wu23387GjRupqqrinnvu4fTTTwfsufB9993HoUOHaGpqorGxkdtvv52LL76YtrY2nnvuOZ566inuu+8+brvtNrZv386LL77IjBkzWLduHS+++CLZ2dm8/fbbnH766dx6662hZMgf/vAHdu/eTWdnJ3v27OHmm2/mU5/6FN3d3fzpT3/i+eef5/Of/zxbtmzhz3/+MxkZGdx3332ceuqpHDx4kOeeew6Ae++9l8LCQlavXo3X6+Xuu++msLAQ0zR57bXXuPPOO1m2bFlo3/ft28evf/1rCgoK+L//+z86OjpYvnw5Z555Jt/5zncAeO6553jjjTfo7+9n27ZtXHnllXzta18Ljf2SSy5BVVWef/55/H4/NTU1XHTRRTHHuaysLK4rRSKsWbOGD3zgAxEVrmeccQZlZWW8/vrr/Pa3v+Wxxx7j4Ycf5oILLkh5vYmQlEC3trbyne98J6K+HODQoUN8//vfj/hMSkl3dzetra18+ctfPuKBTeLYIVH5dhATRaB7enoAEipwv98ItO0XOva+7VT9Mce0zqj1mabkcItJbpGKwynw6haZruTnUAhBeZWDvTv89PWYcRW7Y7Yr7WTHKInWI4JhSTYfGmTJlLRxT9ZnF3hYMiWNF2p6OLsqa9RjkSosK7HXMwBSEjAkbofA77PYv9uPZcHC5Z6QqJSUkddQwlLEYf9g9RhN8MPHIa1h4vw+Ud1OBtOQKM74BFpKiWWCok6cHoNhyYQ2ZKMdziVLl9Le2cW2ze+Rk19AfkHhsPd2rLhjMDNtWRYH9+0lMyuHvPzCUccnpWTTIT8CWDSK+rZ9fMIGLQTacdKtUIWA4TJuRYU5+S4a+gxOLfVwbmVsoG1WjoMpmoZsduJOh7KZ0g4wFoFvSNLWLEjPkEyvnpj3kK5LDu71M9BnsmRFWtz++2gYwexzmHiYZ/NakOBddnbM8tKyn8Hei64g8/67cL3+N3yXfMIm0O40ENiWVf5YL+lw+AzJUweGaBowuWlBekSwVRGCNE0wMIqrAJaFsCw82kjWP8+j8YUVU9jeNsQft3Zw77pDAMwpcHPN4kLKsuy5ZYZTpSrHxZZDg1wxP3/U4xTvOEzi/YErrriCRx99FLBLiAEWLFjANddcw3XXXYdhGMyePZsZM2Zwyy234PF4WLt2LXV1dWzdupUf/OAHrFu3DiEEf//737n33nt57733EEJgmiZPP/00d911F5WVlQB87nOf41vf+haLFi0C4KqrruLqq6/mvffeY+XKlTzzzDN4vd7QWFKBx+Nh37591NXV8dJLL/HAAw9QW1vLTTfdxLXXXsu7775LQUEBd9xxB2effTZf/epXAbjttttYtWoVa9euJTMzk/r6ejZt2sSTTz7J6tWr+d///V+ys7NZs2YNjz/+OI8++iiqqvLCCy/w2c9+lpkzZ3LZZZdx3333oWka99xzDwC//OUvufXWW6moqODMM8/k9NNP5/vf/z5PPfUU3/ve9/jmN7/J5ZdfzurVq/nnP//J9OnT+djHPsZrr73G17/+9dCxuvfee1mzZg1bt24FbA5488038+677wJ2r/InPvEJfvGLX4S2c+WVV3Leeedx2223ATaJXb9+PT/72c8AePbZZ7nhhhsoLCzkU5/6FECE2HRPTw+WZcUVC0tPTx+TWvaaNWtCJD6I66+/PvT/zz33HLfeeis33HADGzduTFgNmypGLQLfv39/3M/DFc4m8f5FPPGwaIy1jHu8AmLvJwItpU2cNE2gJdfnioFhJS+PHQ+iD3l3q4lpQGGFOrxNC9NSRiVfJRVO9u3201QXYN6S1EQ1DN0iIC3izaOD+3kkZGRPh5dB3eKksvFFvIO4Yn4+33vZLie8elHBEa0riFQmbj7DpKPJYP8eX2hePH22E+kYWYcI4/PJeotNKVGPoZCYadpWVUnabt93ME3QohTGFUVBoBAIGEgJKoKJao0OJGHJo3UUSGD5aWfyz7/9le2bNnDOhZcghMCyrJigpmXZlUSNtfX09XazePlpmIZAOBI7KUgpMXTY2uFjRraD9FGewdHXgSpE3Pv+WEAIe/umZWFJOKsiDYciuGBaetz9tXTBhUouAdNi1mxbfCyI4qkSw2tnoXPzTfIKxn/ypZS0NhvU7PQRGO6tbqwNUDVz9KyuYUm7FDr4YDEN3FvWEpi5ECsn/jNLSrCKywgsOwPXu68QOHUlVm6hTaIdzuHS7cRj3dih81jNEN1+i/PKXJxUNJIwUYUg0ylQhMBtCVsZPAncGAhh72c4CV9YnMYPz6/g5YN95LhVVpRnRJwjTREsKUnn+b3d+EYRX0x0DP5VMd5M7/sJq1at4qyzzgLsuUJmZiZ1dXUAVFVVMX36dOrq6vjMZz4DwMUXXwzA008/TVFRUehauvLKK3n66afp7OyksrKSDRs2sG7dOp544gmeeOIJwCa/1dXVNDQ0JEzmjIaysjLmzJnD888/z1e+8hWEEJSUlHDnnXdy880388QTT/DRj36URx55BFVVefvttwG793vJkiUcPHiQiy66iPnz5wN2UKG6upply5Zhmia33347999/f+gZf8kll/CLX/yCM844A7/fz89//nM++MEPsnr1agD6+/tZvnw5DQ0NqKoacm/4yEc+wuzZtoXhueeey29+85uk+3XOOeeQnZ0d+ndWVlboPACsX7+epqYmpkyZElq+uLiYzs7O0DI/+clPmD17dmhsfr+f5cuX09raGlrmscceC/1/MEEb75mtKEpCvaRo7N+/n8bGRs4555yEy3zkIx8hOzubj3/84/z973+P6LkeD5K+JdxuN2eddRZZWVmjToAty+Lw4cOhC2US7w+k4vUcLPFOlQQlI9AOh4PMzPgqyu8nBe6ggJat7EtSu59o6EdBfSl6AtHeZOBOF2TkjExEdHP07KXDIZhS5uBQs86s+W4cjlSyJna2xTE877Ks4czIcKBACIFjHBWBQbzXMoBLEywoOjKVzLIsJ2dVZfLqwV4umJ5NUcYYIx9xMBqBHuy1qN8TYKhPklegUjXLxaa3h2hvMcittF+OlmVn0CBx/3MQ5mjS2BOMpNn19zEME8KdmgxdYllK6NCbRnyrtrEi2vs5GqP1teuWrRg6d+ESNq9/m5amBsoqpmJFVQUF+6kDfpM9OzaTmZ1DeeU0kHaPr+aMfb4GyXPrgE7bkMmZMz1YlkRY8fc7JvvM8SvfDm1fEZgWSBNy3SqXzIhPNqQF9bvAZSmsMbvwDKUx3zPyUBICquZCzRbY9p6XFWelwziSE4P9Jnu2++jqNMnKUViyIo2De/zU7vNTVunE4Ux+vHTTgsBItti1dwvqQC/9yxNPCoOuVb6Vl+Hcth73P//K0JU32ATaNGOjHsNoGzL5Y80QOw7rVGSo3Lwwk5nZI8/EcPIM4NEEuhXrXx6ETbJH5hPRLUMOVeHiWTlxf6cqgqUl6fx1dxc724ZYPsZg6fH27J7EkeHrX/86LS0tPPTQQ6FqoOh5pDuOlkMgEKCxsTE0z6ioqEAIQVVVFQDvvfceGRkZY8oujxXhz9VgEKC2tpaNGzdiWRZ33nknLlfyCVD4vu3du5eOjg5KS0esB4UQfPKTnwRg27Zt9Pf389WvfpWZM1MTiASbqPr9yTUGzjrrLE499VSeeuopuru72bdvX0SyJ9jmVF9fH9p2eXl5SAuru7ubAwcO8OMf/5iVK1emNK7c3FycTieDg7GBvsHBQUpKSlJaz7PPPstFF1006rE+++yzmTp1Ku3t7SmtNxmSEujzzjuPz372s2Na4b+jFPz7GakQ6OByqUSCwoVsotHV1UVubm5Covx+yUBbliQ8Ka8bEucoE6NwHI1y5/B3zWCvxVCfpHK2I+JYB0wLdwr+rhVVTloadBprAxSXxj4inE4lYiJoWjbp0xM8m7u8OjJATKZKUwT5abHXlGVKxHBpvGlJNrUMsmRKOg71yK+Py+bk8U7jAH/Z1cVNpxQf8foSzdsMXdK8X6ejycThhFmLXEyd6kQIQXauSmuLTk6FvT/h5y4eIQ/3L36/KV+fqLB7uCWaKgjoEmmBqmrASB+0MRwUOpLAXrT3czQsKUPWS3G/Hz7fldNmsH/vbnZu2URJWUXM5NIyTUxDUneghqGhAU45Y2WEmrQRkKhOQtsJkmekZGuHXb69cLhn2NQlIh7hZtjvgAABAABJREFUjnPtHa/y7dD2lZH7IllcqXm/ZLBHMGWGRd9+g20dfubnR060pJAsWOZi8zsBtqwfomhK6jebaUhq9/mp2x9AVWHOQjflVfbzd+Y8F++8ZlC7z0/1/MT9vVJKzCFvxIH2bHwNMzufwIyFCX8XcrrKysV/+oW4X/8b/tMvxCyrimtZpQcMXqj38rcmHU3AVdVprCxzRQRXo8kz2NdDugP6EgTV3KpAWAbSshCKXe2kCDGqsnbwHM4t9OBUBZtbB8dMoP+VM9D/Dvj1r3/Nyy+/zMMPP0x2djb33XdfSr9btWoVL730Es888wwf+9jH2LFjB9ddd11ElWNnZyf9/f0xiRu/3z8q2RorsrKyIv4LNpmeM2dOytsOtlQ2NjZSXZ1Yw6K2tjaGQB/pPu3atYubb76Ze+65h49//ON0d3fzwgsvhL4/55xzqK6u5uGHH+a8885jaGiIQCDA1VdfHTO2aAQCgZh24CAWLlwYVw28paUlaUY5HGvWrOEb3/hGSsvm5uZSWDh6e9NoSDojHU+TdbC0YhInPuJF+RIh1TLuRMsFe+T/FRS49Si1ZcuMb48TD0el/zkqa9nRZKAokFcSOaU0h3toR0NWjkpWjsKBPX7eemUw5u+Nl/o5uNcf6odNJiBW1+Pn9lcbueOfjdz+j8i/b/69gX8c6In5TXjSpOawl4GAxUmlY1ffjodcj8ZFM3NY3zzA7za10+8ff21yomyxlJJ9m/10NJkUVajMP91NdrESIttFJRoDfRa+oeDMd4RkRd+OPR0mW1710dVqB7qMyZnihOBQY4C/P9NHY10gxFcURYnK6h652ni093MQ4eQ0GcEIPisURWHB4mUMDvRTt78mRkhM1038Xj/79mynoGgKhUWxUXszIEP+zUZg5Nrd2uljWraD7DBdgOj9llLGCMfZmcOEQz8mUIMaFDKxLeBAD3Q2CfJKJPlTYEGBi+2H/THPYVNK0jMUFi1PY6Df4p9/O0T34dEvgI5WnbdeHaB2X4ApZQ5OX5lBxTRn6BxnZqmUVjhoqA3gHUr8vtV9ATBGAjhq5yGc9XvwLj17xPA5HsIeQ74zL8ZKy8D996fiPpu0fTt4dM07PNugs6xA48en5XBhhXtU8hz6vSLwxCmvVoQgdPmE9W+notcQvIZcmsK8ojS2HEpcch4Pkwrc7z8E21AANm/ezPe+9z2uv/76UPlwqvPSc845h7vuuotnn32WX/7ylwQCAe6+++7Q99XV1ViWxW9/+9uI3zU0NPCXv/wlZixHivr6esBOPgbJ70MPPRSxTE9PD7///e8TrmPGjBlomsZDDz0UEXwdGhriH//4B9OnT4/7vd/v51e/+tWYxxy+7zfddBPTpk0L2RdHHxePx8Ojjz6Kz+fjBz/4AX/84x957LHHQuctNzeXgoICHnnkkQhRTikl//M//5MwmHzZZZexZ88ehoaGQp8dPHiQrq4urrzyylH3Yf/+/dTX13P++eePumxfXx+NjY0pZ8iTIenrr7y8fMwrTDXdPonjC13Xx6Q6m0ypOxyJHkSDg4MEAoH3ff+zYci4mZhwUq2bFoN+I+6E7mjYPYWPx9AlXa0meSUqWpzy61TtsxadlMaCZZ64f4VTNA7s9fP2a4McbjeSkrpt7UMoAj67qJAbTiqK+JtT4Oavu7sZCCOxQYucYBzmveZBnKpgQfHY1bcT4SOzc7l4ZjZvN/Rzxz8aeKOub1z+o4neud1tJoO9kqp5DirnOEPnIWihVVxqZ92720f2O5RFilpnW4Pdk1u3U2eozwoRoEmMH73dJru2+pASanb5I8o/1SiVY9NMbDWVChIFy8Ij8YkqUqwor/ji0jIKiorZvWPbcPDTDC2n+w321+xED/iZu2BZwqy5GRgmz8NoHzI4NGiyOEqxWlqR5drxnnnHu3w7iGAWXMYJVlimpOuQRCiS0ll23/PiAhdeQ7K/J/b9Z0hBfpHG0hUeTEPy3rohdmzyEvDHHgDvkMWW9UNsWe9F1QTLT7efmS537LtsxhzbZmv/7vhlOtIyMbxDEZ95Nr2OVFS8S86M+5uI/QwOz+3Bd96lOGr3oO3bEfpe9HaR9vgDHHrmad7MnccV9S/zZWUfua7IsWpKYvIcGpcmYsqzPZoYuebCRElTaWUOX9fSkjQaewN0DqVmpQiT2ef3I/Ly8qivr8fv9/PGG28AtgWuruu8+OKLdHd3c+jQITo6OgB7XhmvWvIPf/gDb775JpdeemnIYve1114LzW3PPfdc5s6dyz333MM999zDu+++y+OPP863v/1tLr300tBYOjs76erqYsuWLSlXZQbR0NAQ+v8HH3yQSy65hDPPPJPq6mouuOACHn30UW6//Xbeeecd1qxZw4033shHP/rR0H5BZCVoRkYG119/Pa+88grXXHMNa9as4a9//Su33HILp512GhkZGVx77bW89tpr3Hjjjbz55pu89NJLrFq1KpTADK4vfK4QzGwHtxnsk66pqaGtrY3Gxkaam5upqamhu7ubhoYG1q5dG9rHnp4e6urquO666/jEJz7B4sWLKSoqYsOGDRHZ4y984Qvs2bOHq666ildeeYVXX32V66+/nhUrVoSeEddccw3XXntt6DfXXHMNhYWF/PnPfw599vvf/57ly5dz3nnnAbBnzx5WrFjB008/HXMO1qxZw8qVK0lLS4v5/LrrrmP9+vWAzWNWr17NHXfcEerjPhJMkEzKJN5P0HV91F6IaEgpMU1zVPPxRBnofwUBMbvsMf7b2lajtkXFfIZE0016fCZuTeDWFBQhME15VHyIw4nc4UMmlgVF5fHPU6pl3J40BU9a/OVKyh0cbjfYs93HpneGyC1Wqah24HTHTrp2dXqpynZxalkGDqeI6BWvyHZy58tNPF/TzScX2gI5ocSalOiGZGPLIIuK03CN1ZM0CRyq4D8WFnD61Ewe3dLJHzZ3sLauj2uXFFKZk3r5UzxSYVmSpv0GngxBfmlkBYDflLg1idsjSMsSdLeZlFQ5QuuSSiQ59g1a9HdZFFWo9HRY7N8aYO4pLkwXaCcGd3lfwKubIbGugM9i23ofDpdg+lwXuzf5aK7XqZhmE1q7/y7y2TjeUm4rQbBMCIGqaSh6wCbJiWzLon4rhGDBkuW89tIL7Nu9iyUnnYIQCnpAMjjQT+3+PZRVTCM7J/Xm3a0d9r7GU982jbBWijiP9WQk61hCU+3eXMuUqFqwpFtiGnYgoK9TkJUP2vB384tduPYItnb4mZMXFTgYFugrKHYwfVYhm95tpW5/gI42nZlz7LJsKaH+QICDNfaxmzXPReV0Z9J+ebdHoXKGk7p9AabOcMY6HHiH7P7nIHQ/7m1v4Z+zDJmRzWiQFqEa9sBJZ+N6+594/v4U/dPn4Hr3VdyvPIu0LP5w5m1kOeDynq04NzSgz18esZ40LTl5DiJdE/QOB2Ls7HPYb4xwAj36usKXWTIlHehgy6FBLpiRM+pvYbKt5f2IVatWsW7dOi688EJuv/12Vq5cyUMPPcTLL7/M6tWr+fSnP81jjz3Ggw8+yPz581m3bh2tra385je/4UMf+lAouVdUVMSuXbvYvn07XV1d+Hw+pJQsXryYF154AYfDwaOPPsodd9zBAw88wCOPPMLKlSv5+c9/Tnq6XdX2yU9+kr/+9a9cdNFF3HbbbSxZsmRM+/K73/0O0zTp6OigqKgoIgN+3333cccdd/DEE0/w1FNPcdppp/GTn/yE4uJiNmzYECKM999/P5/+9KdZvHgxAN/97ndRFIUnnniCd999l3PPPZcf/vCHIaXqu+66C7D7fv/xj3+wbNkyvvvd7zJ37lx6enp4+OGHAZtALl++HJ/PFyrFvu+++7jppps488wzOemkk/jiF7/ItddeGyKWP/3pTznjjDO46qqrWL16Nddeey1f/vKXefDBB3G5XLjdbu6//35aWloYGhrCNE3cbjdPPfUUp5xyCl/4whcYGBjgj3/8I6tWrWLevHl861vf4uyzR1wEuru7I45hZmYmzz77LD/84Q/p7OzE5/PR39/P448/HqoK83q9dHZ2htx8wrFmzRq+8pWvxHyelZXFnj17uOKKK/jIRz5CcXExn/rUpzjllFPGdI4TQch/w3RGvFr7Y4GCgoIItbrjgUAgMG6/U4fDkbS/QkoZVwgAYMuWLWzatIlrr702bi+10+lM2B9xokDXY8sYo6E5oddvkpeXFwoaCECVAqcQ+KWFOcHzTt0ftEOS7Hzbj6rB3FMS99plubQJsUKyTMn+Gj8NBwIIAaUzNIoqtNBEcjBg8o2XG/jQzBw+PCsXVROhCW4Qv9/UztuN/fz4gkoK0x3ofkl/t4HLo1A35Ofedw5x08nFnFJ+dJRIpZS81dDPEzsOMxCwOG96FuVZqZFo07BrJ0+bUYKm29d9W71BY43OrGVOsvNjuzLTHCpCwP4aH837DBae6cLlUWw7II2IAE3j3gDtjSaLznKj+yV7NvjxZCosPdWDJ4ENl5SSznaDzCwVt+fED0pNFAJ+i/5ei7xCNYLompakz29H4y1Tsuc9P75ByZxT3OQWqOx628dAn8WZ52eEKgV8Pm9MIFBRweFQIu7r0aBbFgNxMpeqquJyuzGGq4BURZAV53wO6Rb+OOnpDeve4FBzExdf/nEyMnIwAgbvrnuFlqY6zr3oUtLSUr9X/mtjFw4Fvro0SWuNZvdFRyPDqR33Em6wdQj6h8+xqgkscyTzMtgHddsVps6H3DDJg99v62HPYT8/OrMQhg+xEIL0tHSy3HbwMXiuo4XBTAMGByyKSjSq57sTBhqjoeuSdS8PkJmlsOy0tNB1Kv1+LO8gfYGRc+3e8iZZz/+B7mu/iT7VVtFF1SCOnWR9n06OalEYdtodO94j/c+/xsrIRhnoRa9exNtnXcV/H1C5dnYaF+//J56X/0rf136MlT9yYPLcqSsU+gzJkGGR7lAiCTRARhZCc2Bakh5f4oyeKgQ5npFgr5SSVX/Zz4LiNL5xZlnS7Qe1A1J5L4N96BzO+OfqaM/NwgWhEqG5ufmEnwOdSJBS8s1vfpMbbrghpDQtpaS3t5f77ruPSy+9NGRddTTwn//5n/zXf/3XhIhRvV/wyiuvsHXrVm655ZbQZz6fj23btvHCCy+EiP2/EgKBAGVl8Z9FkxnofyMcCXmG0fugk/WRdHV1kZmZmVCI7ETPQNsZjdFf0oM+i3CXIcsKivVYeIVAUYkhkUcCGVbS29Nh4RuUTJufXOwtYFp4lCOXclZUQel0B1lFgoa9Ok01BodbTCrnOsjMUdlz2IcE5hbYwoKmac8Bw3H53DzebRrgmV1dfG55Ed4Bkz3vBcgrVtmkDuJQBAsnsHw7GkIIzpiaxZKSdP6yq4tXD/Yx1ojigT6Tzy7IxdAlLbU6WflKXPIMtqWRKiC3SKV5n0F3u8mUqYrdwxkWWbFMSWeLSU6RisMlcLgEVQucHNwWoGaHn0XLPDEZ0f5ee6Lf02WiqDCj2kXljOSZsX8V7Nzso7PdICdfZe5CNxlZ9vEPVnxIKanbrTPUJ5mx2El6loIEZs5zseGNIeoO+Jk5xw46aZoW86yzTLCUsV0ZiYpNgs86VdMQegAzga9zIr2CeYuX0tzUwM4tGzn5tJV0d3XS1HCQ6bPmjok8d3oNmgcMLpue+DdSyng6VPZ+nCCXlRK0s4rTp93XKRBCkpUfOdilxW42tvo42KczM9tpCxcOryNa1C09U2XZaWm0tRjs3eFDVWHJCg+FxWNT8Xc4BNOrnezd4edwh0lBkYY0TfB5iX61eDa+hlFQil4ZJiLkdIMW+VzpHNL52cZD5Lg1vntSFpnD/Eufvxyjqhqlu5OBq7+Iv3oxT2zopzhNclapi0D2WbhffQ7n+tds32hSyxaHw60JLCliyTPYZdyaY1QhsehArhC2ndV7LYPJxfWkpMdn4lAEijnsCT6JfyusWbOGjRs38l//9V+hz4QQ5OTkMH369HGX6H74wx/m0KFDSZd57rnnxrXu9zP8fj833XRTTAm12+1mzpw57NixI8Ev/3UxSaD/TXCk5BlG+lASlXEnI9hdXV1JTctPdAKdqHQ7HFJKvAELdXheZRqREzrbakZMqAtRcF5iWZKmfTrudEHelNgtKKpA1exyNxNbEXsiak8MKXGlKcxc4qSnw6Jxr87eDQHyS1X2GkO4NUFVtis0WCvKIifXo3HhjGz+VtPD+VXZBA5KkMPiWXKQ+YUePCmUnB8p0p0q1y4p5GPz8pLaDgUhLbuc/y97u9je2o81P4fWOgNTh/JZiSfWhmVhCoE7TSEtU9DdZjFlqv1deK9tV9uwj3f5yLnMK1bxTtM4VGvQmBugcrp9XA1DcmCPn8baAJpDMHuhm64Og327/bQ06cxd5CY3/1/3Ud/VadDZblA4RaP7sME7rw8ydYaTqllO/MPnsq3eoOuQSekMjdwiNaTJ5MlRmFKmUX8gQHmVE7dbQUkQXNL1sfWfJ4onBtsYhBCoqoZhGJgysixfSkmiyzA9I5Pps2ZzoGYP1XMWs2PrBhwOJzNnL0h5bJC8fHs0KMfR/zkeNFXEkGcpoe8wZObFBu7mFbhwKoLNbT5m57uQcuQdZFgSpxpL7KaUOSgqsVc03qBUeZWThoMB9u30kV+YPuzRHCksqbXU4ThUR/8HrhqxLlCUGPIMsGZfN0IIenwGv9o1yNcXZ6AJCUIw8NlbQSigKKxr9tEyaPLFhRloikBmZqPPXYpz8zp8F3wUHE7G09KelujZrAfAYwc+NUUkfKbGI+1LStJ5tbaPg11+ZubHr6Ty6lbIIi7gl2hC4NbEhDg1TOL9gUAgwJ49e3j44Ye57LLLyM7Opq2tjZdeeomcnByKiorGtd7nn38+peWCCaNk6tL/SgjO/3/2s5/xne98h2nTpjEwMMDmzZt59913+frXv368h3jMMfm0+TfARJDnIPx+f0KRhUQZaF3X6evre98qcBtG4j7FcARMGcrYBHxm3Iy1nGgF7uFxdTab+Ick5bMccT2pVTU4YRcIFVSnwOUWdl/yOCfCZliPpxCC3CKV+ae7mFKlcfiQydT2NM5Mz4rIVMWzJL2kOocMp8Lft/XQ3W6RmatgmZCpaywtTp/wY5YM6U6VXI826l+2SyPHrbGoKI1B3eRgu4+2BoP8EpW0zOTXcvCY5RarDPZaBHyx+9fRaPt4Z+ZGrqt0hkZOoWpnsdoN2lp03nplgIaDAUorHZy+Mp3KaU6WnJLGklNGF0J6v0NKyb5dPtwewcLlHs5YmUFJhYO6/QHefnWQrjaDng6Tpn0GucUqJdNsAhR0eDKlZMYcF9KCg3tsQqkoSsJ+57EIiiXyyw23l9Ic9niiM3SmJClZnz1vIZqm8dYb/6C9tZmZcxbgdI6NCG/r9FOZqY2pbDeII7H2OhqIR8S8A2AEBNlx3EqcqmB+oYut7X4sKVE1EMOBEyNJAE1RxBFVdCiKYOZcNwP9Fi0Hhwg2l+tht6Zn42tIhxPfwtNGPtRiJ+gNvX7WtwxyflUW1ywoYO9hP3+uDYxc3KoGioLflDxz0MuMbI1lhSPBvcAp56J4h3Ds2GBvYiJLCiwTOSxalIzTxpO2sPugSajGbVoyFBgLOiEYlsVAwKTPZ+A3rLh/+vgNFyZxAuLKK6/krrvu4ne/+x1Lly5lyZIl3HXXXSxbtowrrrjiqG77lVdeCRHtu+++m+3btx/V7Z0I8Hg8PPXUUwwNDfHBD36Q6upqrr76apqamvj2t7894ZZg7weMKS2xa9cuwJ5gBH3Nampq+PWvf013dzcrVqzguuuu+7eIxrxf4Pf7Q+p7EwEpZUiALDoTnYhABwUD3o8CYqn2VwEEjJFy0WSEW1oyLskdDyzLznS3HNTJyFXILog9lkIRMdsLmBZpDhVVtZMbhk7IlipVxLOvUlVB+SwHMttiy5YAVYMe9mzwM2OxC6dLxD0uaQ6Vj8zKpX+PBIddYrvxdS/ThZtFRWmYZmpqrscSwf2Yk+9BAIcOmqShUjoj9UdqbpFK8367jLu4cuR3g30Wg32Siigfb7CJy7QFDmrek2x+dwgpITNLYdFJHnLyIrddOMVBXoEW8qftaNNZsNRD4ZSxlZ6eyGhrMejrsZi/1I2q2gGi+Us8lFU42LnVy4GtARCQlimomj9yPIOHVQJOj6Bimp0ZrJzuJCNLRQgFGUfWeSy2Volup/DnnaKoKIqCYYEzjMeOZnXncLiYWb2APTs340lLp2r67NQHBnT5TBr6DT48bXz2cCfa/agKEVNWEyrfLoj/m6XFLja3+djfHaA6z4XTaQfuktnyTQSKSzXqDygc2G9SnAsiTDxQ7WjGvXM9vgUrkO5g64oAR+ScSkrJ03u7SHcofGB6Dh6HQvNAgH/W9lGe5eScQiUUXX2pwUdvQPKFhZFtH8a02ZgFU3Ctfx196RkTL0wY8IHDgUMReIc/Cr5Lg21M8bQ4cjwa03JdbG4d5OML8mO+9xpW6HhFx5hMKRlKwJTdAtImc0b/Urjxxhu58cYbj/l2V65cOSE2SO83LFu2jKeeeup4D+OEwZieJt///vd54403QibhPT093HPPPRw6dIhTTz0Vn8/Hn/70p6My0EmMHRNNnoMIkujwTLRlWQkJ9PtRgVtaEr/fSpk8G5ZM2aN3IlVDpYTWegMjYJcOx8sMxdGdIRC2X0LYmWiHc2wzqGSEe/+Qj7+ZXeTPUvAOSA5s9du2ODK+LdACdzpThJMdYhChQiN+qlQ3LlVgmSeedVMwK57hVFmYnYF7QKGoQrMFwVKEO13Bk2GrcYcj6OOdXxI/M6hqggUnucnJU5m9wMUpZ6fHkOfwZWfOdXPauem43Ap7d/hOuGM5XlimZP9uHxlZCiXlkUGBzFyVuStclFdrZOYozFjsRFVHSqcjiIQF06qdaBrs2z2ShY4HM8VrMZkCd/Q9qjm0mHtitGeEacL0WXMorahiyfLTI/yrE0EIgcvlRlEUtg2Xby8eR/k2nDgK3EEIEdkHGyzfTs8BLUG8aH6BC4cCW9qGz7mqoDnsft3x2NqlPlb7nvT7oa1DoEsg4Cf9lafIe+gHSE1j6NQLR36gOWIaznd1etl72MeHZuaEWlw+NjuPBUUe/m/bYWp8DhAKfQGLF+q9LCt0MCsn6kAIgf+Uc9GaDqK2NEyIsGQE9ADSMkPrDeqIBP+C/dHxsLQknT0dQ3j1yBvBtGSEsF48J4RJTGISkzgWGBNzWb58OTfddFNIUfD3v/89AwMDfOpTn+LGG2/ka1/72qhCU5M4+pBS4vP5jgp5Dt9GOIkeTUDM4XCEJPijcaKVA5qmxO+P7/ecCPHUchNhouZmUkoCPou2Ors8NSM7zu0sBEqc5jZTyhhPaFUVuFypl3SHBwyiicGuTi+FaRrTqlxMW+BksFdSv1u3s/NRjwjTtGjZp4NL8q53gD/v7mKv4UWTgv4u+7jGK/0+XogmO0tkOgEpyS0feyAot0hloMdC99vrNHRJ1yGTvCnxfbyDcLoVTjojncrprpRKStMzVabNcuEdkhzuOIEO5hGgsS6Ad0hSPc8d8wzxGxZCEUyZ6mD2Sa6IwIaIOk0GEodDUDXLRWebQVenkTSol0oAzEwgRRdvvaqqYRI5/mQZaMuSqIpKWnomZ5zzAcqnTsfpdCV9jiqqisvtQVFVVFVja6ePsgyNAs/4euNPNAIN4Ai7D3wDoPsFWfmx4mxBuDSFeQUutrT7kEgURRnWihAxz8aJRm6OJC1N0tQiELs2kv/r75L+1ov4Fp7G4Zt/jFkQptocVdFnSVt7ocCjcXZlVuhzRQhuWFZEQbqD+9e30SncrKkLoFtwxYz4Qoz6ktORDifuDa8djd2EgB9FCBQi3K3swHSSao4lJekYFuxsj/TGjibU/yKxwElMYhLvQ4xpxjdr1qzQ/2/ZsoV33nmH0tJSLrnkktDnHo9n4kY3iTEjSJ7HagY/3m0FSXSywEl3dze5ubkJJzInUgZa1yV6YGxvZUtKAmMo+5uoqLllQcsBHSmhbGaCDGSSxFQ8T2qhCJwuEcrWJYIUEqGC5hQhlehgm55hSWq6fCH17dwildLpdl90W70RQ0Da6g38Q5IZc5xMzXbxRkMfh/CjqISys6Zx4mShw89f72ET55BgszXAgX7fmNeVW2yfoO52ez+DPt6FFaP4rY+jzLS4RMPhFDTVTYwewvGErktqawLkF6rkF0UeKznK/RjzGBK2GFHldCcut2DfLl9SMppKVcpoCtyR4xEoqhIKzFiWTNI/DarixOmKJMyqpoWyy9FwOJy4XCNBhl5dUtdnsLhg/D1rJ4oCdzjCe3j7DgsQkqyC5ANdUuymz29R1zvyvlQ1gXWU909YkvLsPvr6BeYLzyPdHro/8y36P/JZZHrmyIJxrKveaR6guV/n8tm5MX3LblXlK6dOwZDw87fbeL1piHOqsigpzgN3OjhctifbMKQnjcDCU9C2vYv0RpLVCcGwp7qw4qhWSvs+joe5hR6cqmBzWB+0YUn8UTfWZAZ6EpOYxPHCmMLPzc3N9Pb2cvjwYR544AGEEHzuc58LvbRN02Tz5s1cffXVR2Wwk0gOKSVerzdpNvhobNPv9yeccEop6erqYsaMGQnXcaIQaD0gY8qS/T6LjW8NJXzRBxFB7gRMm+sgK454TXBZKY888z7UZ9HZbFJUqeJO4EWazK0qYEridUDaJd3gIPH4/IaFGjXLFEKgOaCm1YvflMwrGAmmlUzX8A5YNO0z8GQo5JdoKMPKuU37dDJyFHKLNP7Dk8d/vnmI2QUectwq3R0mlZZEUWx/13A13WCvubTs/TxWdk3BSZuUkuZ9Ou40lQODXvI7VRYXp48cCyeh8UkrviiUJ0PBnS7objcpLFfpaDJIyxKkZyW/JxIRrGRQVEFZpS2w5fNax9QnWjetCVXIrdvnR9cls+bFqvQGRimzjn7cKIrtJetyKsyc42LnFh/7d+uUTpVxA0lS2iQ32fWWWIE7/jHQNAeG6ceJSJy9VhU01Rlhdxa9bpfbg6Hr6HoAIQROpwslioBtbbc7Usdbvi2EOK4E+lCjpKtTMnuhQAtr3FUVOwtrWpK+w5CRHdM6HIMFhS40YZdxzw9L+kpFjtqHfiQQjfupfPKn7D/tXg6s+BzlJxfGSoVDTP15wLRYU9PN1Gwny6fEPr2lJSnJdHLzycX8/K1DOFXBpXNy7Yve6QSGD8jgAEF/ssAp5+La9CZsehvOOH9id9SyMHx+sGJfRKoYUU53RFXbOFWFBUVpEUJi0dlniH2mHuj28b/bO/HFqQgTwPUnFXN2VVbMd5OYxCQmMVaMiUCfeuqpfOELX8Aw7BK3z3zmM8yfPx/DMNi+fTtPP/00DQ0NR2uskxgFgUDgmJLnIMK9iKMxMDCAruvvCwXueL25TXUBBgcsSisdCUubA4YVMeX19lvs39bH/NNdCXtibQJ9ZONt3KujalAyLZG3dmy/ZTgsKcdNbBIJ7SiqYHeXD0XA7LwRAi2E7WPsW+/n4PYA7nSFzFyVpv0BjABULHHgcAnmuNO4dnEBU7NcpA+pdB0y6e+2yM5XhwVr7dJ6SxKR0ZBSoBwj7cLgrne1mgz1S+afksnMfW52d3pDyygh1XMI+pZJaRNpw4gce26RyqFag+5228e7at7oIl/jLcIur3JStz9AU30g5Ht8tGFakgHdIlOICVH69Q5ZNBwMUFLuIDM7dmI+WjtFPAE/E/t+KKlw0NNl0lir034IplVDXmHs8rYdW+JtJApwJCLdiqKAVLEtjaLGKwSaw4HD4Rgu9U9O7DSHA0VVECK+mvim1kFKMzSK0sZZvj2uX00MujoktTX2/u/bIZmzODIQ6dQUenosAj5BQZk1apDSoynMKXCxqdXL1WFe3BIYDBiYlpz43mBA2bEexd9PYYFFe28lU6QeZzIWKx72Sl0fPX6T6xYXJlWKX1CcxpdWTEFVINsd5zwrSughYpZVIcur4O1X4fSVE9pSJSUYgz5UVyzZDwrRJSLRS0rS+d2mdjoGdXLcWkzFVPSco8tr8OtNbThVhYVFsSXrqiIoHOc1P4lJTGIS0RjT0+Skk07iv//7vzl48CAVFRWhXuiOjg4GBgb4wAc+wAc+8IGjMtBJjI4TpcQ1HKMJiJ0o/c+26E/sZ80NOvlFKvOXxG9N0E3bPiMcAZ/FjnV+Wg4YTFsQn9VJiyOaifZ22vY8ZTO1hOJfybLPQfhNiWMcxtTJrF52d3qZluOK8W9WVcHMJU52v+unZpOfuae4OXTQ7t/OKVJD18J507OxLEnAY4XKuLPzVZAyoQqytCYmqz8agrYplilp3m+QlimYUulhXreH7R1eOod0CtIccY+9EMMWYlH7kVtsE+j6XQFUDXLj+HjHGci4JveeNIWCIo3mep3p1an1Tx8pvLoFUuLXLTTXkbugH9hrl4XOmBObQTWSlD9DfPIMIIStCeDSFOYt8VBS4WDXVi97tklyCyTTqgVuz8hvTUNGZD+jkej2ENEN2BFj00DqoSoYIQQOhwNV0xBCJBQmi4dEXta9PoMD3X4+NCM7pfXEX/fxeWYPDkhqdkrSM6GgWFC/X9JwQDJ1phgel4JHgdZu+xhlF4iUnrFLi93s6OilttvP9LyRoJJQoT9gkulUJ5RESykRTQeRhaUUVTho6xZ0dSoUTYmKnDichBcBDQRMXjzYw6KiNKrzE7fKBd8tS0uTKKyrKgz3JAsEymnnIZ/8PdTug+nV49+5KOgGSNNAdUbumxqlmWEactgRYuSzpSUjdlYrKjKJRnj5tt+weGBjG7oluXVFMSUZse9dt1MlN2OSQE9iEpOYGIx5Cl9YWMiKFStC5BmgpKSEs846K/Q3ieODE5lA5+bmxv0+FfXYY4F4ifuOVgO/T1JelTi16Y/TD+l0K1TMyuDwIZOh/vjZsCMpFJBSUrdLx+Eiwv4oAgnEw6KhmzJuL3QymElISr/fpL7Hz4Li+KI1Lo+tiBzwSrat9SItmDovVj1cUezx5xSo9LSbKXlBj8ViaLwInrf2RoOAT1JebY892O+9u9Nr24YlFXQiovzAkyFwpQlMA/JL1VH7z4MYb4lpeZWDgF/S0Xr0D5huWujDBy1gWePq3Q5Hf6/JoUadimlOPHHaFkbLPifKGgthl34HkZuvsfx0J1NnCnq7Ycs7kqbayBaPRJ7QiYhusCJEJrLaGc4YW0LB6XLhSUtDc4zcG2O5vgOmRdugHvO3rmkACSwryRh3sEk9DkFPXZfs2WaTrDmLBGVTBVPKFZrroadTIy0tHY8nDafTxeEOyM6FnHSVjBTI78JCF6qA91oifYcV1T5X/QFzYsu5DR3RXIssn4Y7XZKWbtHepsQKYkVln1/Y34PfkFxeHf9dGkRK75awAIuqAEtWgCcN+fYrqe3DMORAH7KjNfavsw1Tt0Lij8LQI4Tn4p2TaKHIimwneR6NTS2D6HHeUcHjJaXkke2dNPUHuH5xUVzyPIlJTGISE40jDscFAgFefPFFurq6WLFiBXPnzp2IcU1iHDhRCXRWVhYOR/yy1BMpAx2NproAbo+gsDj+bWJaMkQOolE1J4OmgwM07dOpXhabKTuSU9XdbjLYa1E1z5GQJKcal7CkpN9voioWHk3BlYLBa7LJ5O4OLxJYUJyGMmxBFY3MXJXKOQ7qd+tMqdJIy4g/WEUR5BardLWZ9PdYZOUl3ynLlEjt6F5T0rKVsg/VGmTlK6ExFac7yHOr7Or0ct4o2T27tHskCy2EvZ+ttQZF5ak/ksdrtVNQrOH22GJixaVHzxPaJoqR94ffsEhzji9oZpqS3dt8aA6YNiv2nkpFzC/RpSEU0HULSyqhib6mqZRNFRQUQ90+ScNBiWUOUjlzeDyGRIlT/ZGoh1kMk5a/7u7mnwd7uffiqbjD7jcL0JwuXCL299KSKQWRwD7GP3yzmU5vfMY9Jd1BaaYTPQCGMXanhglsZU8JliXZu10S8MOCZQKXW5CWls78JeDzDrFne4CMLAfZuSreQfANQWmFsNt+NQWXZnsH++L00AKkORTmFXl4r3mAK+fnhXmFjwQ8BgImGU41YQuClInVvmNwuAMx2I9ZUoWUkqJii7qDGgP9gsys4XOsOkIH2mdYPLevm1fr+zi9PIPSzOQE0b5ORhlLGIF2KCA0F3L5GfD2K8iGg4jK6aPuhtyxCfno/QkZu3n+R+HcS+1/BAKoLkeo/SXecTQtiRY2biEEy0rTea22j+JMBxfPzMER9r4LPv7+34EeNrUO8rHZuXFLtycxiUlM4mhgTAT6S1/6EtnZ2axcuZLzzz8fKSX33HMPO3bswO128/LLL/PlL3+ZU0455WiNdxJJcCIS6O7u7oTl23DiCIhFR78HB0y6Ok1mzElsD5OoDxjA4VQoneagsUan9/BwCXI4jkBIrLXOwOkWFFdqJBI/T6V8OxymZU8SvbqF26HgUhNnUZMR6B3tQ6Q5FKpyXCgCrDjqq4oqKJ3uICtfJT2e9dYwhAJZBQqKYpdxj0aggRihsYmGtOBQrYFp2L7bobEOZ6E3tw5hIVFGmcAqamRGsWSaRk6hijs99fvBb0pcmhyzpZAQgvKpTvbv8TM4YJKeIIBxpPAbsX66fkvilmMfs5Q2ee7tNll0kidu20Jg2Gc8GRJVUAshYDgL7dZGSoIBXG7B7IWC2n0WTfV+8osF6ZnCFoiLQ5wSKnALQdeQwYv7etAtyd5OL4ujhKACliBej/NY3CFfruuj02vw8Tl5ZMUpmZ+abQcfVFUdF4EWo5GzCUbdPklfN8ycJ8jMFqiqOkxuYfFJHt59Y5CtG4ZYcXY6bS32/hSVaAhl5KC5VUHAEHGDTooiOKk0g99v7qChN8DUnJHgTPA+jSbRlrRFxkxLYpgSA/CoCm7H6PevaKgBQC+bBkBuvkVjvaSjTSEza3jMDgdSSja2DvLk7i76/CZnVmRyxZzE79JwjCZyhyLsm0FaoYoCccGlyF1bkI/8Er7yPUR24ky3PNSIfPwhKJuKOOvCmO+tda+irn8V66wP2g9kaaFZBvqwIES8DLSMcz9du6SQPr/JM7u6eLuhn08tLmDeMEm2LNjcOsiafT2sKE3nwmnjb0uYxCQmcWLgpZde4he/+AXPP/98Ssu/8cYbPPnkk8yZM4ft27dz/vnnc+WVVx7lUdoY01RTVVVuv/32kJ/viy++yI4dO1iyZAnf+MY38Pv9PPTQQ5ME+jggmZDX8YKu6/T19TFz5syEy5wIBDp+9llHCCirtPtZ4/kQJypHDU5cCitU2hoNmmp0sk6NFfSRlt1nNxb4hix62k3Kqx2oDgVFkxg6EdkpJQn5HQ2mlAwGTLxJBJ8SEWgpJTvbh5hb6AlNkDSHxAiMjEsNyxBn5ibfeUWx+6azCxR62k0q54ye5TENGRLwGiuCHtWJfi+lxDdk0t5gkF+qkpYZee3OK0hjXdMA9b0BZuQlF+iyrYsIZehVVZCRPXZS6dPHl9EtrXRwYK+fpjqd2QsmnkCblsQbj0lKScCQuJN4XMdDw8EAhxp1ps92xc2aW1KO7sUuRimtV0A3rFBWWFGUUAbSklBUDp2H7N7beUvt9VhWbLVHoviSoig8s7sLie1ZvKNtKJZAxy1VlXErOeKhz2/y0sEeFhenccEohEIZJqJjem8IcUwz0K3NktYmKK2EopJgZcDItMXpUlhyShob3hxk6wYvhi7JzVfJyHSj6yOifkIInJrAF8dNQQiFpSXpPLKlg/eaB+ISaLDPQ79Ptx0B4hwyr2nhUMWoJeNKwwGkquIrmwWaA9UwyC+y6GhV0AMmDpdCmx8e39zK7sM+KrKc3Li0iOm5qYv+paSxoahgWiExL5GeAau+grzvxzaJvvnbiDgy5nKwH/mHX4LLjfjMl2OItmWBoXhw/N//IPZsQc4/yd6cHgCHx76GEhwi04Sw00uOW+O2M8t4s76XP27r5L/WHWJFeQZXzs+jd9DkD9s6qMp28akFBaF7O82h4oyzgVRbYyZxbOD1ek8Y29sTaSzHErqu2yKV2vHXBmhsbOS1117jpz/9KR0dHSn95tVXX+Vzn/sc69atY8qUKQwMDHD66aejaRof/ehHj/KIx9gDfdppp4XIc3d3N48//jhOp5Mbb7wRh8NBRkZGRG/0JI4dTjTyDPY1Aon7n08UBe7oCjTTlLQ0Bigq0XC5FTQ1vi9yIiKpOuzgvqIIymdqeAckXYdiGfh4+qDb6g0QI73PtuWUQA0TNBpr9jkeLGn3Rsf7S1Q6fKhfp9trMj+sjE5RBJpj2CfaMTZiLxQBw+XNegAGelI7YPGCHaP+xpLoAZuAG4H495OU0HzAPv5lM2JJ3Jx8NwLY2Z6an2p4ptxnWOzoGBpzWbbfHF9fscutUFSi0dIYiLFumwj4hoXD4sFvWmN6XnW2G9Ts9FNUojG9On756mAg8XUZxGg6UEKAMSzOFoREwatbdh+ssJg+201PF/QctpeJ5wmd6Hw09Ru81dDPeVOzqM5zs7PdG3e5mPWNoff5hQM9BCzJR0fpkw1irBoUx1Kxoq9bUrtXkpNPSCjMbn+InOxlZqvMX+qht9tkcMCiqNTuG3e5I8v8E1XVKIpChktlbqGHDc2DEdemiA66mBZWIEHWfjiglQxBATGrqBzT6bbZottNYZUbKQUdPW6eaw7wwzebqO3184m5eXz7tNIxkWdIvQ9aESKiGkRMKUd88gZorEU+9YeY+1SaBvLRX0FfN+IzX4qbpdYNkLMWIXPyUde/GvpcswybsBMboJSWOWxLGHvvOFTB0pIMfnh+BZfOyWVjywCrX27kFxtacWsKNy0rGnGSEALn8HmO/UvhmEzimKCvr4877rjjeA8DsEnkLbfccryHcVzwox/9iJaWluM9DAAqKiq49tprOeecc1Ja3rIs7rjjDi688EKmTJkCQEZGBldeeSWrV6/G7/cfzeECYyTQ5nAdmZSS3/zmN/h8Pi6//PKIEt0T5WT8u+FEJNDvGwXuKALR1qxj6ITEw4QSY8eJJWPLUwFUTQwHBux9yy1WScsSNB8wYrYjx0igLVPS1qCTV6zG2GOpmkBz2sJbx0slN0gc5xdFRnKPJCOuCMguUBHDZdypYCzlrhAkzSPlv1LGJ9ED3RZdh0yKKzWc7tj9yXBpVOW62NGWGjEKv07+frCH+95r4563W6jvHduDP7rPOFWUVzkxdPt6n0jopiSQZAZvB2dSe14NDphsf2+IjCyFBUs9ca+joYCJkQJjSCKADYwIjOmWXZ476DcZ1O2gUfDaKJnqxOWG+v0y5OcePemPt2tCwNO7uvA4FC6ekc3cAg+tAzqdg8mP/Viyz22DOm809HFmeSZTUhRSUsbY7zDW0vvxQkrJwRqJyw3V80eeH4qixr0GiksdzJzrwuEUFJfY++R0aBHaG8owuYpGUJl9eWkG7YM6TX2BiO8jApKmMexDFx8By4oreBWCoSNaagmUTouI6HgyFDJzFVoaTV442MeSKel8/+xyzqvKHpcCuExFsV1V42aCxYJliA981PaFfv3FyPU++xgc2IP4+CpE5YzY3TOC2W8F86RzUQ7ugs5We71CoBgBVEUgDQPp9yOHBpH9vdDfB94hLDP+XMahCpyqwuVz8/jh+RVMz3HjMyxuWlZMTphNl3OUKpNJHH94vV6uv/56amtrj/dQME2TW2+9lQ0bNhzvoRxzPProozzwwAPHexgxSDWou23bNg4cOMDy5csjPl++fDkdHR28/vrrR2N4ERjT29M0Te6++256enqor69n3rx5XH755aHvX3zxRd59992JHuMkUsCJSqCDlQnxcCJknyE2Wt9Ur5OeoZCbr6IoI0Rfc9gCUhA/yyTESCZYUUY+K5/loGZjgPZGgylVIxM6+5yl/rI/fMjECBCxjnAoikjqTXu0sbPdS3G6g8L0iROmEoodHMjOV+huN6mYnYJYT6gUO/lyUkpMPX4Jv5QSPSBwOGWozLVhTwDNAVOq4j82FRXmF6XxQk03Q7pJWgr+YIoGVgB2dngp8Gh0+0x++lYLZ1dmcll1bkrrMCwLvyFSEoALR26+SnqGQmNdgNLKiVOu9cZTmI6Cz7BGHa+uS7a8a6uaLzklLaLKIgi/YeFPUUV+NAJtEymJ1xghzNHPKFNIKmcI9u2UdLZCYUmkJ3QiBe69h3V2tHu5Yk4e6Q6VecOq7Tvahjh3euJS67FUUzxb04VDEXxoVk7KvwkvU09t+dTHcyTo74WhAZg+x65cCSJZqeG0WS6mznCGglJCETidTkzTxBp+yLtVgT+K/wbP8bLSNB7dAu81D1KRPZK9jrhupDXcFE3CR/eQbpGdqM69tRnh86KXxop0FZar9G+3mKG5+eyiwiP2TB+1RUhVEm/j/I/AoSbkC09CcSli7mLk26/C26/AOZcglp8euz0JRtj1ai07C/nKX1E3vIp5yVX2Jk0dZbAflDjXmx5A+lQspyemLcKpCnzD563Q4+ArJ09BN62RzPMwHEms5d6vePXVV2lvbz/ew4hAUVER55133rh++8ILL1BTY+sArF69mtNOO43Kykp++9vfsmjRIrZt24ZhGPz0pz8lIyOD3bt38+yzz7Jjxw6+8Y1v8PnPfx6n08natWsRQvCnP/2JmpoaOjs7eeKJJ1BVlUsuuYRPf/rTnHvuuXi9Xn7+85/T29vL/v37GRwc5Pvf/z4rVqzg9ddfZ/PmzXR3d7N69Wrmzp3LNddcM+o+7N+/nyeffJJnnnmGRx55hNtvv52NGzdSVVXFPffcw+mn2/eHaZrcd999HDp0iKamJhobG7n99tu5+OKLaWtr47nnnuOpp57ivvvu47bbbmP79u28+OKLzJgxg3Xr1vHiiy+SnZ3N22+/zemnn86tt94amv/84Q9/YPfu3XR2drJnzx5uvvlmPvWpT9Hd3c2f/vQnnn/+eT7/+c+zZcsW/vznP5ORkcF9993HqaeeysGDB3nuuecAuPfeeyksLGT16tV4vV7uvvtuCgsLMU2T1157jTvvvJNly5aF9n3fvn38+te/pqCggP/7v/+jo6OD5cuXc+aZZ/Kd73wHgOeee4433niD/v5+tm3bxpVXXsnXvva10NgvueQSVFVNuc85HrZv3w5AWVlZxOcVFRUAbN68mYsuumjc608FYyLQ11xzDc8++yz79u1j+fLlXH755aiqSkNDA88++yw9PT3Mnz//aI11EklwohLovLy8hITnRCDQ0eSpr9ekt9tk9gJXRIYQQNMEpiltJeY4pEsN443hv8vKU8kuUDhUa1BQqqGFCSCNKvYShtZ6HXe63RN8okE3JXs6vZw5Ndav80gQ7EHMLVbp6bAY7LXIyBmdVJpG8lJ2y7J7x5OKToWR6J4Ok74ui4rZjogJffRYFxR5eH5vN3s6fCxL5sMa/I0iGNBNGvsCfGRWDudNzWbNvm5eq+9jU+sgH5+Tz4qy+AGocPgMK1S6mCqEEJRXOdi7w09fj0lWCsc1lXEk82EOwpIy7gQ4CCkl298bwjtksfz0tLiWVbopGRqt7zkMqRwaoYgIPYFo32jDlOQVQXoD1B+U5BfZn6vDffNWHAEwS0qeqekjz6NxbqV9f5RkOMh2qexs9yYk0FLKlKspant8bGod4sMzc8h2pf5at59xKmaKdeLHKgPd2mxbVhUWj3xml2+PppsQJM8jv3G5XHi93tD3TlWJ6DUPenNnuTRmF7h5r2WAj87Li1yngOFyg2ESbYIWfyyWlPjCeunDYdTtwwkYFbEEOqNAwYvJMmfGEZNnSMHpQdFIxDeFEPCJ65GH25B/+g186D+Qf/0jzFmI+ODH4/7GMIjUv8vMxpq3DGXzOswLrgCHE00BDYuE0Qe/F9OvoqZFlt87VAVF2G0awYB39LNDCIHjOFVfTSJ1XHHFFTz66KOAXUIMsGDBAq655hquu+46DMNg9uzZzJgxg1tuuQWPx8PatWupq6tj69at/OAHP2DdunUIIfj73//Ovffey3vvvYcQAtM0efrpp7nrrruorKwE4HOf+xzf+ta3WLRoEQBXXXUVV199Ne+99x4rV67kmWeewev1hsaSCjweD/v27aOuro6XXnqJBx54gNraWm666SauvfZa3n33XQoKCrjjjjs4++yz+epXvwrAbbfdxqpVq1i7di2ZmZnU19ezadMmnnzySVavXs3//u//kp2dzZo1a3j88cd59NFHUVWVF154gc9+9rPMnDmTyy67jPvuuw9N07jnnnsA+OUvf8mtt95KRUUFZ555Jqeffjrf//73eeqpp/je977HN7/5TS6//HJWr17NP//5T6ZPn87HPvYxXnvtNb7+9a+HjtW9997LmjVr2Lp1KwCtra3cfPPNocTowMAAn/jEJ/jFL34R2s6VV17Jeeedx2233QbAmjVrWL9+PT/72c8AePbZZ7nhhhsoLCzkU5/6FAA5OTnju3jCEKxwjU7Qpafb865U+6iPBGMWEfvYxz4W83llZSVf/vKXJ2xQkxg7TjQCLaWku7v7xBcQi5qgNtUFUFQoqRgp3w6HwyEI+CXR83Y7+xvWSzbcvxucxZTPcrDzbT8tB3Uq54xk+1ISewEG+yz6uyymznOekCVq+7t8BEwZ0f88EQiqI2cXqAih095okpaljBp0kMMTrejlLEtiGYk9fOOsiIAf6ncFcHkEheXxJ81B7+fpeW5cmmBn+1BKBBqgptu2/ppbkIbHofCJefmcVpbBn3Ye5vfbOni7pZ+blxYnzdgGJ+2eFDLW4SipcLJvt5/GugDzlxy5iMqoQl5h6B+y6GwI4PPF/ibgk3QfNpm72E1ufuxryrQkg7o5KkvoHNJ5bl8PlpSIqIoEtya4bE4euZ6R9StKpIq2iJO2NiVUzRTs3Cw51ARlU0EPSLtCJc7ub2z10dins2pRYWjSL4RgXoGHbe1DGIaFFufcWiYp+d1JKXl6TxdZTnVU4bB4ULXUCfSx8IDWA5LDbVBcRkTVQVB9OxVEeA6rKi6XC13XsSwLlyYIBP2Jo0p+TyrL4P+2dtLcFyC880hRhs9HMKJhBEBLfL8EA1rh4zAsCQ37kZoDY0pVzG/2dfvYY3lZGkjHN2ThjhM0GgtGdSQQoGpKwmtMOF3wma8gf/ED5NOPQOEUxNU3IeK8ty0rfuuMdcpK1B0bULavx1p2JhrxFbgjftM/iHRpiKhgiUMV+HQrYUuDQ/nXLN8eb6b3/YRVq1Zx1llnAfY9mZmZSV1dHQBVVVVMnz6duro6PvOZzwBw8cUXA/D0009TVFQUOu9XXnklTz/9NJ2dnVRWVrJhwwbWrVvHE088wRNPPAHY5Le6upqGhoaE+jyjoaysjDlz5vD888/zla98BSEEJSUl3Hnnndx888088cQTfPSjH+WRRx5BVVXefvttwO79XrJkCQcPHuSiiy4KJRyvuOIKqqurWbZsGaZpcvvtt3P//feHAoaXXHIJv/jFLzjjjDPw+/38/Oc/54Mf/CCrV68GoL+/n+XLl9PQ0ICqquTn5wPwkY98hNmzZwNw7rnn8pvf/Cbpfp1zzjlkZ4+8Q7KyskLnAWD9+vU0NTWFeo7POecciouL6ezsDC3zk5/8hNmzZ4fG5vf7Wb58Oa2traFlHnvssbEf9Cg4ncNz9Kh7Pvjv4PdHE+OSXhsYGKCnp4fy8nIA3nrrLUpKSpg2bdqEDm4SqeNEI9D9/f3oun7CW1iFEyldlxxq0plS5sDhiCzFDkJRhj18o463GqdqWREjiryeDIXCCpX2RpOMXJO8YvvBmOppa6vXEQoUVRx/tcR4eLuhH6cqmFMw8UqWigKawyav7Y0mQ/0WU+c6RlXxtgxQhp+hlmln81L10g1HX6fJUL9k+kJnQuIenOtpim1nlaqQGMCuDi9pDoWp2SMP/Ko8N985t5SXD/bx+PbDbG4b5NSy5Nl9nylxqnJMPZMOh6C0wkFzvc60mS7SMsZ/T+pJBObCIaWks9mkab+OZRA3uwwwfbaL8qlxVICHleJTeeb9/WAvGw4NUJjmiEl6dQ0Z1PcEuP3sUpxBYhs1lKDQoRXW52GYkuw8hZx8SVOdpKjUPo56QBKIGpNuSZ7b109FpoOTowIq8wo8vN08QG2Xn1lFsfdNqtnnbe1D7O/2c/X8/LhZz9GgjEF18Fgk+NoP2c/FKWWRG4sWD0uG2MCnA8ewNZRpmhgECBixB3hZaTp/3NrJxpYBFlaNfK6oYOmSUIo1SR802NeoV7dId6qhfw/4dbJbajGmVEIcdetNrYPUCi/L1QwObAsw52TXESlHB3v0E5FKVRF2D3wSKzORmw+f+TLypWcQH70W4YkfIE10OGTVbGRhKcqGV7GWnZnSs0lKidXfj5KVFUHWnarAm0QeIl5/+yTeH/j6179OS0sLDz30EJqmEQgEIp65AG53rJBeIBCgsbExZH9WUVGBEIKqqioA3nvvPTIyMsaUXR4rwu+vYBCgtraWjRs3YlkWd955Jy6XK9HPgch927t3Lx0dHRGCzEIIPvnJTwJ2729/fz9f/epXkyaoouF0OkcV1jrrrLM49dRTeeqpp+ju7mbfvn0R79lAwNaHqK+vD227vLw8xP26u7s5cOAAP/7xj1m5cmXKYxsPiors8q/BwcGIz4P/DpL8o4kxi4g9/PDDfP7zn+f/+//+v9Dnp5xyCn/72994+umnJ3yAk0gNJxqBfj8ocMuwcjCAQ006lhkpHhZv8iHUyOMdFA6LWS5q9yqqHaRnK9TtCDDUZ284FbVU05B0NNnl3/H8b483BgMm65sHOLUiA08KPqhjRfA4Tp3ronqJE8uEve8FqN0RQA8kvu4tS2IaEt0vMXQ5LvIM0NFkoDnt4IUar3xbRJ7r+cVptA8atA+MLs4Vsv4q8ISyVarD7vtUFYULZ2ST59HY1JoCIR+etI8V06tdCAX27/GN+bfh8MdRpI7GUL/Fng1+6nfreNIVFp3m4YzzM+L+zZgdf9IxFEitTNyrW6xvGeDU0gx+dH4FP7mwMuLv5lOKaejx8/tNHaH7OR7XiM64GcPLTp0pMA1orgsLwgUs+1obXuaNhiG6fBYfm50bU/48J98mzTvbvTEVEVYKntZgZ+Kf2dtNcbqDM8rH1z6RSmk02Fndo53gk1LS2izJyoG0jLCKnhTHGEQinha0bMlMc+Ny23/hyHFrzMp3815z5KRMUYQdkQsNNEHKNQwB00Ifzpb6DAsZMNBaG9BLq2IGaFqSLW1DzChyM32hE2+/pG6nfsTvdTPJI0gTYpQUtQ1RNRPl899EFMafkJpmkveYEJgnn4vSdBDRUjf6gIdhGabdBB8GhyKQVvwTK4RI2A4yiRMfv/71r/nqV7/Kf/zHf7Bq1aqULaVWrVpFV1cXzzzzDAA7duzguuuui0jcdHZ20t/fH/Pbo6HSnJWVFfFfIK5YWrJt67p90zY2Nibd1ljXmwp27drFBRdcQHl5OTfccAPz5s2L+P6cc86hurqahx9+GMuyGBgYIBAIcPXVV486tiD5nigES/Kbm5sjPg/+e8GCBRO6vXgY0xPn6aef5h//+AdSyoiXmaZp3Hzzzaxdu5a33nprwgc5idERHa073gj2JyQj0Mcb4SrYUkqa6gJk5ShkD/eCJso2mjKstHDYzzceogm0oghmLnaiOgT7twbQ/fYkebRJUkeTgWnAlKknZvb5rYZ+AqbkvHGUj6aCIH9xCEFlhYslZ3iYUqXR1WqyY52P9kYj4TE0jSPzRw/4LHo6LIrKNdvHWrUtucKvXzWq93jBcDZxZ8fopLelX6fbZ7Kg2INQhi3J1EjicFJpOrs6h1Iix7plxfUSTgbhgPJpDtpaDHq7x+CZFAbTkuhJnkGmIWnYG2DXO378Q5Kq+Q5mn+TEkU5y1eIo+A0rqcJ3ON5tGcBvSs6uzIorfrWkJJ2Pzcvj3aYBXqjpAeLYFhFbKSOlrdKdniEoKoFDjeDzDosLYlc5GDoMBEz+fnCAOblO5hbGlvNnulQqs5zs7vRGcDNI3brqraZ+Wgd1Pjo7d1xqzUEoKRLoo42eLvB7oThO9nlsFnjJv3dpSsJy9OVl6TT1BWjuiVTTV4gizProATKvbqKbFj7DQm1rQNH9GGWxWaOaLh+DusWyKenkFKqUz9LobjM5VDu++zEIy0qs4q6p4og9D6W0bauSjmHJGUiHEyXM0mo0WBZg6MihyEBGotE6J3uf31cQQoTmrJs3b+Z73/se119/fah8ONX57DnnnMNdd93Fs88+yy9/+UsCgQB333136Pvq6mosy+K3v/1txO8aGhr4y1/+EjOWI0V9fT1gl91XV1cD8NBDD0Us09PTw+9///uE65gxYwaapvHQQw9FzF2Ghob4xz/+wfTp0+N+7/f7+dWvfjXmMYfv+0033cS0adM49dRTY74Du/z90Ucfxefz8YMf/IA//vGPPPbYY6HzlpubS0FBAY888kgEYZZS8j//8z8TmuibNWsW8+bNY9OmTRGfb9y4kaKiopTtsI4EYyLQr7/+OldffTV/+MMfQunzIFRVZenSpUekqjaJfx10dXWRlZUVYSMSjuOdfYbIqHlPl8lgvxVRMppoiIYlQ1lnTUscDIhHwB0uwcwlToyA5MC2gK3am+TZLaWktd4gLUshI/f4H7NoSCl5rbaP6bkupuYkL1MaL+w+aIE2TFSz0lSmz3Yx71QXaZkKDXt0Dmyb2OhmEB1N9qS5OEx5WwibRAeDKNHq0EXpDvLTNLankDUOWX8Vp+FwihjRKrAn9IYF21Mg5GBnXsfyovLqFvmVdnVDzS7/uF5yAdOidSDA6tcaue2VhpG/lxv45T/beOvVQdobTArLVRac4aagdIQQDemplX6bVuqiYVJK3mjoozLLSVWuO+E9+sHqHE4pz+Avu7rYcsierIeTL1tZX7WrAoZt4mBERLBiup2VbayVdu90cD+k5O/7B/EakktnJs4Mzy3wcKDHx1BYSXoiJe9obG8f4tmabmbmulh8hNoDqZRHH4sEX2uT3UueHzm9SKq+HQ37cTE6oXInqJZZXmqL0rxxsCvicyVaIC5Zeje4iJQMDAe+HI0HANDLYwXENrUO4lIF8wvt4FvxVI28EpWWAwbd7eMwtg9DovJqVQhi5K7HAMsajiHEu1QdTkI9E540rEUrULa9A77UnmFWsAAj4EPqgdD2EomrBbPPg/0m77w+QGNt4ISrypvECPLy8qivr8fv9/PGG28AsGHDBnRd58UXX6S7u5tDhw6FhKAsy8KIcyH/4Q9/4M033+TSSy+lvLwcp9PJa6+9FiJv5557LnPnzuWee+7hnnvu4d133+Xxxx/n29/+NpdeemloLJ2dnXR1dbFly5a420mGhoaG0P8/+OCDXHLJJZx55plUV1dzwQUX8Oijj3L77bfzzjvvsGbNGm688UY++tGPhvYLiNhmRkYG119/Pa+88grXXHMNa9as4a9//Su33HILp512GhkZGVx77bW89tpr3Hjjjbz55pu89NJLrFq1KtQbHlxf+D0QzGwHtxnsk66pqaGtrY3Gxkaam5upqamhu7ubhoYG1q5dG9rHnp4e6urquO666/jEJz7B4sWLKSoqYsOGDRH2xV/4whfYs2cPV111Fa+88gqvvvoq119/PStWrAg9l6+55hquvfbauMczeO6iybvf7+eSSy6J8A+/7bbbePHFF0Mq9YODgzzxxBPccsstY6pYGi/G9Ep0u91cdtlluFyuuC8oy7Ji0umTODY4ETPQ76f+57YWHUWB4rIw39AkBBpAc45ulRSPEKVnKVTNdzDQY9GwW08qaDXQbTHUZzFl6tgyMMcKezp9HBrQOW9a1ugLHwEUZWTyJIQg3aWSna1RvdxJ8VSNnnYLv3di7wHLknQ2G2TlK3jSYx/GqmZnjKMDJUIITi5NZ3vbED2+5C/jne1epmQ4KEhLbP01I89NtktlU+tgwmUixj0sKJYK/IZNXlUVKmY46Dls0tk29qxXwJS8XNdHr99kcVEai4vSOCkvnQ9peZwmsxjCYl/uIFPnOmNUzC0p8QZGH+9QYHTRsCD2d/tpGdA5pzIradmxEIJVSwupzHHx4HttNPcFUFXQnHaQxOESOF0qyrBAkcOpoKgiVJrrcguKSm2r20DYPnT5TNY2D3FSsZvyrMSBpXkFHiwJNYd9oazzaNnnLq/Brze1cf/GNjKcKlfPLzjiZ0MqLTVHOwPt90m6O6G4NDL4ONby7VSH6YoS+Qoiz6OxZEoaz+1oo98/Ql4VjMg+esuKVJxLhOFrVms5gOV0YRZVRHxtScmWtkEWFKaN9OILQdVcB+lZgtodAYb6j+DZJu1WlmhoCjEE2rJGv8VMEwIB+y/htMPhsP+C6z15JUIPoGxJsUJRhq3bOzjcuy5xqCLmBCtC2J8D9QcD9Pda7NnuY/3aQXp7jiz4MImjg1WrVuH3+7nwwguprq5m5cqVPPTQQ1x44YVomsanP/1ptm7dyoMPPshf//pX1q1bR2trK7/5zW9oamoKraeoqIhdu3bxox/9iK997WvcdNNNfOITn+BDH/oQuq6jqiqPPvoo559/Pg888ACrVq3izTff5Oc//3lIrfmTn/wk+fn5XHTRRdTU1IwpWAfwu9/9ju9+97vcdNNNpKen8+CDD4a+u++++/jYxz7GE088wbXXXstTTz3FT37yE4qLi9mwYQN//vOfAbj//vtDytcA3/3ud7n55pvZvHkzt9xyC8899xx33nlnSHH6rrvuYtWqVbzxxhtce+21/OY3v+G2225j7ty59PT08PDDDwO2InZNTQ3btm3jhRdeCI0pEAhw5plnctJJJ/HFL36R3/zmN5SVlXHHHXfQ0dHBGWecwSOPPMLq1avJysriy1/+Mn6/H5fLhdvt5v777+cb3/gGX/jCF1i1ahWnnnoq69evB2wCfeutt1JTU8OqVav4z//8Tz796U9z9tlnh/avu7ubw4cPRxzHtrY2HnnkEV5++WUAfvzjH0dkl03TpKOjI0Kw7IMf/CD//d//zerVq/nlL3/JN77xDW699Vauv/76MZ3D8ULIMYTpfvzjH4d8vn72s5/xzW9+M/Sd1+vllltuQdf1mHKJEw3h0ZJjiYKCgoiTP1GQUsY00h9P6LrOo48+yrJly1iyZEncZdxu95gfVBMJKSV+nwz9/xsvDZCTp7L4ZDuTIwS43LETSiklXd7RCUZeXh5dXV2YRvzJC0Dzfp1DtQaVcxyUz4qvGLhvs5+uVoOTLozvg3u88av1rexu93LvJVNDk7+jAWFBWpxJtFc36ek12PGWn4pqB8UTWObe1WZycFuAWUucFFYkJrjBcx2OtgGd2//RwOVzc7l0TvxAkm5Kvvy3Ws6amsk1iwuTjuX/tnSwtr6fn51fmZpQlBBkOdVRy3p7fUYo+2tZkt3v+FGE4NRz01O2VwuYFp2DOt9+tYFlU9K5dn4Bh2oNWusMFBXKZjp4sbubTa2D/Oz8qaHJbjTSnWrCa8inW3jjiD4lwm+3tLOjw8tPz6sgza2Oeu90eQ1+8GoTbk2w+txyMpyR15p3aAgpJTk5OfT09GAakjRVRVXAOwib37EomwY5pfas/497+tja4eP2k/MpyvKgafGvH92UfP3lek4vz+ST8/LRnAIjQV+/aUn+WdfL3/b3ICV8aGYOF0zLnhDLIwA94E+afUl3aoxDoyxlNBywaKqDZacL3J6RfXI4HDidqVe3aJpIaDUXjSHdjNsa0dwX4M5XGjl/ejZXLSqws6z93RhGlHOD0wWuWHGjGFiS3F9+C6k56PnCjyOI+N7DXn6+vpUblhSxvCSy1D/gk+xe70MIwdwVriPSwAhvPdEUQbbbflbKvh6wTHRjOHgj7BZtodj/VRT7fWiats9zsoopGwKysu2VDY70MWu//gEi4Ef/8o9SinKo6ggHly43AezsfL/fxAhj7m5NweNQ0XXJGy/1M6XMQV6BRs1OHwG/pLzKwcy5btxuOwAWD0drbhZEuCBUIjQ3Nx8T5eB/FUgp+eY3v8kNN9wQUpqWUtLb28t9993HpZdeGuqTPRr4z//8T/7rv/7rhPPoPpp45ZVX2Lp1K7fcckvoM5/PFyLod9111/Eb3FFCIBCI8ZoOYkyvw4ULF/LUU08BkSVSdXV1/OAHP6C7uzvCcHsSxwYnYvYZSJqBPhblFckQfsh6u0wCfklRSXj2Of4LfgwuPUDyeULpDI2cQoWGvTqdLQbeASvib6DHpLPFoLBcOyHJc4/PYHPLIGdMzTyq5BkIqaJHw+NQycnW8GSIIy51jEZHk4HTLcgpHvu1WpzhYH6Rh9fr+jATVBiMxfrr5PIMdEuyI8UybqTEN0rPdDD7HISiCMpnOhgcsGhpHL08dWQ9MtRvfGpWJjve9nOo1iB3isqC090UVWgsK0nHZ0p2H/YmXE+iUm7TknjH0Cfd5zfZ1DrIqWUZuDQlpTbPPI/Gl1ZMoctr8MD6tphzFp2dVTWBHL4kc/JcZOcpdAyrRzf162xs83F2WRq5bjWuFVYQDlVQnedmd6d9XBKR531dXn60rpln9nYzN9/DXWeXcfGMnAkjzxArlhaNoylybFmSthbIySeCPMPY1Lch9Qw02OQrXva+LMvJ+bMKeOVgL+2DekhALOYQpVruGQigtTWil02PUYPf1DqIQxkp3w6H0y2YudiFPtzy4x208MX5S8WWL7yyISKwpqoj5BlC2V/TsEu0/X7w+e3/H508Aw67Wkpojogea+uU8xAdLYi6vSmsJDK5bw35kcORi2i17WD5drgIaEm5g9NXZlAxzUlTnc5bLw/Q3DBZ1v2vhDVr1rBx48YQeQabl+Tk5DB9+vRxqzB/+MMfZvny5Un/jlcS7njC7/dz0003ccEFF0R87na7mTNnTshL+t8JY3ozffjDH+ZXv/oVN9xwA1JKvvvd79Ld3R3qU5gyZQrXXHPNURnoJBLjRHspBBW4ExFoRYk/aTmWCJ8ItB0yUBQoLA7zg00w6TbGqOScTMxGCMG0BU52r/dTszGxemLx1MTZz+OJtXX9mJKjXr4N2AQ9gTCxx6FSVOKgfl+AgE/idB/5teUbtH23S2doKWdio3HutCzuf7eNba1DLI3jCb2zfQhVwOwUrL9m5bvJdKpsah3ipJKMlLYfsCycZnx1WpmgzDurUCErV+HAHj8lZY5RAzemJdFNkzca+lielk7/Pok7XVC93ElW3shNNCffg0dT2NQ6yKIEAQMpJUMBiwyXGvHZ4BhKt8EW1jIlnF2ZiaKm7g07M9/NZ5YU8ttNHTy+/TDXLC4IfacoCmaU6rJUwak50DQHldNg+0YvAz3wXOMAaZrg/Mq00G+TYW6Bhx27u+gc0uOW8m88NMhDW9rJ92h8YVkxi4on1ms9CCXJw+poK3B3dYAegCnl0e0QypiDraMJiIVDEQKnKuIqyF+1rIzXDxzmL7u6uGlxzvB4ohayTLthd5RnhHaoFmEaGGWR/c+WlGxuG2JBoSdhZUl6tkLVPAe1O3R2vhX/PVFYoTJ1TvLspWVKLNUOlIUHXnRLGV20biyvvXBPR6cr1PdsLTgF+eKf0Z5+GOPDn0LOWTLqNi1r2JvdlODzQlqGXcEyHN9ThL0v8URAHQ7BnIVuSisd7NnmY/tGH5YlmF59dLQ6JnFsEQgE2LNnDw8//DCXXXYZ2dnZtLW18dJLL5GTkxOj05QqUtVxCiauAoHAv0XlQLAP/Wc/+xnf+c53mDZtGgMDA2zevJl3332Xr3/968d7iMccYyLQiqLwpS99iY0bN7J27VoaGxtRVZX58+ezZMkSLrroorhebZM4ujjRCHRXVxdOpzPUYxKN4519BkIZJiklbS06+UVaRNnfaP3PqUIMTzwTnSNVE8w9xc1grxV3juJ0CdKzjn+/eDQsKXm9ro95hR6KM46BYb0isFQSlsOXldsEuqfdpKjyyMu425sMhIDCMm3cxGHJlHRy3Sqv1vYmJNAz8twpWX8pQrCsJI23mwYImFbKGf8h3SI7zrJ+U8bN9gohKJ3lYM96P/UHAkxPYCUVRMC0ONDt59CAzsVpebjTBfNOdcUEHTRFsLg4jW1tQxiWTJg51S0LvyFwDZMJn5GaZVUQlpSsbeynOs9NSYYzFZeeCJwxNYvGvgAv7e+lItvJ2VV2cCgeCTYlpGe4MA1BUYmG5oTGRqjp1rl8Rgae4ezmaAR+3nAAZfdhL2dFEejGPj+PbO9geo6Lr548JXRcRoXPZ2c6UykvHkayDPRYAp6KomJZY6sGaWuWuNyQmx/5uaaN/V0x1oCXR1Pwxwkm5aU7uWhmDs/v7eYDFW6mpQ0LlClRmVg9AKP4vGpNB+1FK2ZFfH6w20+f32TZlPjvyiDySzScHkHAG3svdLaYdLeaVFbLuJob4TB1UFwjehJ6QGJaE/w+doTddE6nTXyR4HRhXHsL6l9/j+OP/4M1ZwnGB6+B3IKEq7Is+5hbEtB1pK6jOBxoQmBIGcpGB0VA5y2Jvd6zslVOPjON1mY9ZFE5ifc/rrzySrq6uvjd737HXXfdRVZWFqeddhpf+tKXWLp06VHd9iuvvBIi2nfffTdXXHEFCxcuPKrbPN7weDw89dRT3H333Xzwgx/ENE3mzJnDVVddxbe//e0TQtfoWGNcM81gGcMkTgyciAQ6Nzc3iTr18fd/Dk6A+npM/D5JUUm4ynLiCWOictxkEArIJPNJl0fgyTgxLaoSYWvrEF1eg6sW5o++8BFCVYRdcihltJFMCOmZKumZCr0dR06gTVNyuMUkp0i1+wbHebmqiuDsqiye3dNN+4BOUcYIOerzm9T3BPjovMRtDtE4qSyD1+v72dnhZekoE+4ggoJi4dmtRNnnIDKyFfKLVer2+ymb6oirBRBcj9+UvN7QxwItDSVgV1QkIjDLitN5p3mAvYe9zC9MnEUdMiw7YCJJWQwtiJ0dXg57DdvWKYE/+2i4cn4+zX0BHt3SwZQMB9UFnrjk0uFwYEhwaJJA3wD5RZLWJkG5U+OMPAE+H8IzerZ4SrqDXLfK7k4vZ1WMVHP0+U0e2NhGukPhxsUFqZNnwwR9OFMpgRSD2kGyH+99kmr5thAKbrcb0zRS9iT1Dkp6u6FyRuz5Oprl26FtKAKnqsS1f7tkVg6v1/byxJ5ebluaMSy2FqUdNoofNICj+QCWJx2rILKsdFPrIJoiWJDkfggiM0eFnNjPFUVwYFuA/h4rouojHqSUYNlZWz1gC3MdiRJ3DFQVEVa+JYRAOp0QsK8FWTED4wt3obz9D9RX/orjl9/BPOcjWGdcDHE0UcxhAh2KLvu8SE3DoSoYhhkKJDbWBdAcMKU0QbWWZVFWkrgVaBLvT9x4443ceOONx3y7K1euZOXKlcd8u8cby5YtC7XxTmKMPdAAL774Io899ljEZzU1NTz//PMnXC/uvwtOJAItpRxVgft4Z6DDL9O2luFM45TR+59NS44pGxZEUgImxKhK3iciXq3tJcetsqQkNSJ3JHAMn4/R4i7FJRq9XRaqdWTHs7vVxDSgsNy+To+k3eDsqiwUAa/V9UV8vmvYviroGZ0K5hR6SHcoKatxB+GL6nX2p+CNXTJDw7LgYE1iEhQwJX0+g+2tQyxXMsnMVSgrc+JMcKLmFrhxq2L08UvJUMBkSB97T/vaxn6ynCpLitPHbXGrKoKbTi6mIM3B/e+2cnhIj2k70TQNVdMImBL0ANLQaWYQJHwgKxOHNMDQUVIwdBZCMLfAw55OX+g8GZbkwc1t9AcsblpWTLYw7azyaLAk+MP65HV/ar8bRqLgZqpZ3aBDh6Y5cI2SlQ2itVkiBBSVxI5lrO+K8cZm3QlaFTwOhUvn5rG3W2fbYT3+Nkx9OEWaAJZEa6lFL6kivCTCLt8eZF6BJ6UqlETIKlBQFOhuS+1+USToAcsmz4BQVWIas8OgG9DemWIXRTyxPEdU1lfVsM68BP2rdyNnLUT759M47v8eon5fzE+lZceDQrBM8PtxqAJV2IFVv8+ivcWgtMIZ03IiDR05NAADfSnZjk1iEpOYRKoY01P7pZde4ve//z0vvPBChFpndXU106ZN40c/+lGEefYkjg1OJALd39+PYRgJCXQqdilHG0ECLaWk7ZBOXqEWEZmeqPLt0dYHExv8P1ZoH9TZ2ebl7KqsUVWeJwLh9lXJMghFw9mH3g6LNMf4D2x7k4E7XZCZq4xaEjkacj0aS0vSebO+Dz0sbbWz3Uu6QxmTd7aqCJZOSWdb+1DEukaDlDKkNGxJiS+F37rTFYrKNZrqdDpa4088A4bFW039zBPpaJZgxhybPLkdStxUoENVWFiUxpa2oVErOQwZv8Q8Gbq8BtvbhzijIgOX88h0FtKdKl85bQqGBb98pxW/YYWeW7adlU0K9GECHbAkzx4aolMN4Bh0omlOECBSDCrPK/AwZFjU99o+3I/t7GR/t59PLyxgarZrWNHJD4FRSIDfF+stNAYSnaiMO5UYn8PhiCC8NolOnv2WUtLZBnmFdrtKxDbHWn9PfNvAVOBQlYRtBedUZlDsUXhqvxdL2mQ/hm8aSc6L34vW3oxROi3id/W9frp9JsumHKmHtyC7QKG73UxpLuBUlNikeVydBDjUJnh7vcK2nSr7a1M4tnGyyELTiNtLkZ2PcdWX0K/9GpgG2v/ei2htjB1H9C3k96FghXy8Wxp1pITyMK0QqevIgX5bBVyfJM6TmMQkJh5jYjIvv/wyF110ET/+8Y9jLIjmz5+Pw+Hg2WefndABTmJ0nEgEejQF7uNNnqWUWMOR9/5eC9+QpLg08lpONMTxZJ9hOIMZbzIvxLizZMcTr9f2IQScU3X0xcOACNsjVUt8zDIyFdLSFdpbdFyaMi4SPdhnMdQnKSzXQv3rR4pzp2UxELB4r9nOvEop2dk+xLwiz5i9dZeXpuM3Jbs6E6tZx0PAtNBNid+wUn5elM7SSM8UbN/opadHj/idYUkClsX6hgEWK+nkFqvkF9j3kaoIPAl6tJdNSWdQt6jpSj0rmirWNtpZ/rMqsibkvirJdHLjyUU09gb47cb2EPlxDmdZASzTwgjovNjopdtvUVkqMXRBX68Dh+ZAkWby7OQw5uR7EMCuTi+vNfSzrmmAi2dkc3Jphv37IIvwexOXDBsGGAkC2CmS6ERCYiJJhhLs57ojOtOInalPRqKHBuwW4tyC2PWPxeZQCLs8VzsCt4JEIl4aFlfMTKN50GTdIfv4jkWNW2s+iJAWevmMiM83tdoigolE9caC3GIVIwADPckDNpqixA96Rt0wg4OwaavCzj0KbjcUF1rUNyocaktyfIViK2/HQxIbMlm9GP2GO8DlQfvj/8BgX8Jlh38BPh9OVQmJh+XmK6S5TKR3CNnfZ19YKVR/nEg4keZxk5jEJGwkuy/HxGZKS0u5/vrrE8qVFxYW8sYbb4xtdJM4YpxID96uri6EEOTm5sb9/ngSaCklgYAMlaK1tejD5dtR/c+JLKzM8R/neKtU1SMrDz4e0E3J2vo+WyDLc/T7tjVFxJBMhyM+sRVCUFyq0X3YJOC3cGlKwnLiROhotBXZ80uC5dvjHnoIcws9FKc7eLXWnhi29Ov0+MyU7KvirSvNobCpNUU7qzB4dRPfGK5hVRXMWOJEqLBtg4/Ofp1+n2GvR7fY1emlKuBBAapmOSPOk0uLPW8A8ws9uFIp4x4jDEuyrnGAhUVpFGY6Juy+WjQlnSsX5PNeyyD/78AADmdklhVTp8tn8Fydl4V5DuaVKTidko42BU3TUBQ1pYl8hlOlMtvJm439PLn7MIuK0rh01vAzNOL30lY1jibl1rBKcTKkQKLjZqCFiJegjIArLKgQjWQkumfYPj0nKt6qqmpK7wpFAYdT4HIrR2z159IU1Hj7YBosL3QwI0vlmYND+E0Z+1wwdbs6QI/9czTuB8AII9BSSja1DjK3wHNE1TJBZBeoiBTKuKMtoEIYJtCmCfsPCt7ZqNA/CHNmWZy81GL+HElutmT3XkFvIn7rSPI+cDiS9zJl5mBc/WUY6EN7/Fej24PpAaTPS2fjID6vpLxYtw3ZA/4oo+73DxLpD0xiEpM4PpBSJp1LjGkGPFo/Um1tbcjCaBLHDifSQ7erq4usrKyE2YPx9j8bhi14omkCdZw9w4Y+Ih5ml28b5BaoOJ0jL/Zkc7YEAtApQShAVHJgtCxZS1+A52u6YyoyxwNFwMrp2czMT01QaGPzABuaY0nOQMBkIGBx3vRjk32OV1YphEBz2Aqy0SgqdVC7L0B7q0H5VKd9raR4/Axd0tVqkjdFDSmyj1dALByKEJw7LYs/7zhMY6+f3R020Zk/hv7nIByaYPFwGbRuyojs/GgYTwWF060wc7GTve8FOLAtQPVSJ8awAfL62kEWKOkUlmtkZ0fe70II0hwKA4HIyaxTVVhQmMaWtkGump8/5gx8ImxqHaQvYHJ25cRkn8PxgZnZNPb6WbO3lzZfIzJ8cm8adA4ZeA3Jx6Z57IBcsUlzo4bXCx4PNhlwjG5FN7fAw4sHeinNcLBqUeHIsYnOOFuWTaI96SMlwX5faia9ut/uSU3AiOOR1tEOp8PhtAMFSWC/D9z4/ZEEvqdLkpYeW76tJcpkhsYJmjbx+hFuh2LbpoXDtCdRV85K46cb+3nmzb1ccdoMIGqM/vhBLa35IGZGNlbuiK3O1vYhDnsNPjQzZ0LGrWqC7Hy7jLtidoJJ37BlV/wVKPQPwNYdCj6/oKTYYtZ0SdCdRwhYON9i/SaFbTsVTllmxQqPq4nPmRACXXHQcCBAdpYkP06Bmiyfjnn5KrSnHkR94U+Yl346+U77fTQ1KDgdUHj0tSyPOtLT0xkaGsKRwrNiEpOYxNGHYRgJ3YRgjAQ6KyuL7du3x5Vrf+GFF9i/fz8zZsyI88tJHC1IObog0LFEV1cXBQWJbSnGm4E2DTtzrAckhhgm0mPIONgEfOTfA30W3kGLqhmRhDJh9tk6suMcTcRSUQh+dk8Xmw8NUZB25Jnefr/JtrYhvntu2ai2U7s7hnhgQxuZTjWuuM3SknTmFo6d/I0HiQiiqgosVcZwi8wsBU+aoL1Fp3yqM2FfYzwcPmRiWVBYEVmRMBE4Y2omf9nVxau1fXQO6ZRkOMiP4/k7GoQQLCvJ4O3mAfYc9rJwAso/R0NGjsrUeQ7qduo01uhUznHS5TXI7tZAhYqZzrjnyaEqOBSJHhUBWjYlnY2tg+zr8jE7/8ivo7ZBncd3HaY808nCKZ4Jr+oQQvDZpYUYlqSpxxfpBz2c7fr4zDTKMzVMAwqKLFqaJB1tKpVVZsqlpKeUZHCw28+1Cwoi77t4ETTTsDPOHo+d+UxUuh0PRgDUxIE0RVEiBEGTCYgpipqyB6qmaRiGGjp+pinp64Ep5ZHLCSFGDbQ6nONTWI+GNM1hES0bLlXgFSKy/96yz191OlzYtoGXik9m9z9quWaqRtWs6dGrjB3roTqMkipQVfr8Jn/Z28U7zQMUpmksmUBP79xilZ4Oi8Fei4yc2OPnVBIfM6ko7K5RsCQsX2ySmxO7jNMBS+ZbbNissHWnwvIlVlgcRiQMEkkpaT9ksHe7id+v4HBIzjjFitcujbX4NMy2JtS1LyCnlGOdkljp2OuDzi6oqpTjFo87kZCdnc3AwAC6rqNp2vuuOm0Sk/hXgZQSwzCwLIvs7OyEy41pZn7FFVfwne98h+rqahYtWkRGRgbt7e2sW7eOPXv22FHaK6884sFPInWcSOQ5EAgwMDBAdXV13O8VRRkXgbZMGaEAKiXousQwJKomRi2FNk2JoUcep7ZDtrBIuH2VPcb46xivgNjIesO9OEbPPvf6DDa1DLJyejZXLUockEgVHYM6P3ytiV+83cp3zi1LWDbYPqDzq3fbmJLh4DvnlB+ROuxEIBkB1hwCy4q8Nuwybgf1BwLoAYnDOdx/Psp9IqWko8kgLSvMdzsFD99UkeFUOaU8g7cb+5GSkL/weDCv0INbE2xuHTwmBBqgoFTD2y9pazDwZBi81zXAVMVNToVCRlrii9njUOxKgbDjP7/Qg0Oxy7iPlEB7dYsHNrYhgJuWF+M4SterQ1W4+ZQp5OXlhXQeMHQYGsA1rAg8ELBJp8MBuXkWhzsUyipMVHVYSngUT+PSTCe3roiSopYkJuBGAHzCbiIeC0YRkROKEkHa45Y1Y99rqSptB+FwODFNuwKjr8dOmufkxYqHJbvvktkMjhm+IaTLYwtdMbxPmsAbfF9IQkES7cBObt79JIsKnDyiVPHTtmzObtjMpctnkJET/34Wfh9qZytD81fwekMfz9Z04zctLpmRzSUzclL2c08F2QUqQuh0tyUg0Emy9e2tkr5+wbzZVlzyHHyEZmTA/LkW23aq7K4RzJ89XM6uqXHPyeCAyd7tPg53mGRmK0ybJtmzR1DfKJgxLf4z2bzgCkRbM+rf/oQsKEFOnxt3ueYWe3vlJSfOHOhIIISgrKyM3t5eBgcHRy0fncQkJjHxCN536enpZGdnT1wJd3p6Ot/73vd48MEH+eUvfxnxXXZ2Ntddd91RNzCfRCROJAIdLN+faAGxRL3HUtplt4Zui3+qWuzEyrJkTKmvlJK2luHybdfImIRInG05UgJtr9/ucVLU0YnZ2vp+TGkLUE0ECtMdfOGUKdy7roUHN7TzldOmxJTPenWLX7xzCICvnFpyQpDnZCW+tio3BKLOb1GJg7r9ATpadUornWhCYIxyn/R3W/gGJVXzRrIoEz13OXdaFusa+oHxlW8H4QyWcbcPcY0lj4kSOkD5LA3voEXDHh23VAkIi2mzPEkn5qoicKsCX1j/g1tTWFDoYXPbEJ+YJ8ddxm1Jye+2ttM+pPPVk6dQnHWMSx+H1X2dit0jHL4bhcUWXYdVug4rFBZZNtkehUDHhWUSHniLHUNqXssRCNouJbhuFEWJ8FtPxPE0zTHmZ7qqqqiqnYXu6ZIIBbJyotebfFoyUdlGaUdiAQFaRuhzl6qMXK9h/bTOnRux3GnMX3kWP9QNXnhzNy84ytm0pZ8rPPWsOHleTCm71lrPgcwyfuU8mbpdh5md7+aqeflMGaUKaDzQHIKs4TLu8urIIIQiBI4EJ9KyJPt3+8hIh5Li2GvNLpeHoMFKUQFMr7I4WKeQmW4xtULGlG+bpqRun5/a/QFUBWYvcFNe5UCYOt2Hh6hvEpSXytgy8OENGlfeiOPBH6H9+VfoN34X8ooiFrEsaGkVFOSnbHP+voAQgpycHHJyco73UCYxiUmMgjHXhubl5fHtb3+bw4cPU1tbi8/nIz8/n1mzZo1JNXMSE4MTiUAfDQVuWzV79OUMQ2IYNonW1P+fvf8Ok+Qs773xz1Oh48Td2Zxz1iaFlVBGASGJJAQWAgzGBBthn5dzfGx+hoPDa1tgH3gP0ZiDCCIokCWSEEpIuwqrsFnarN2dDbMzO7FzVT2/P2p6pnNX9/TM9Mw+n+uaS9ruquqnu6urnu9z3/f3dlOxpcwXzwCRfofogMP8Rbnp2yWOnyOg+xIWX3/+DG9c3MyFcxqK7JWN0EDa5VtXOVLy5JE+Vk0LMquxdhOtldOCvOeCNu7d0clP9pzj9rXDhWOOlHxz+xlOD6T45GWzmN4w/nVYXup7NV2gG26Kf5qmFo1AUHDmlOUKaA2sMuWhZ0/Y6Aa0zhz+cmotoBe3+pnf7KO9L8mKtuoFtNBg48wwz52M8LePHcsXoNnJDlksnxrgthVTqjKAE5pg7iqDV56N02gZGHMkQVMrK4ADhkbSzm5LtWlmmJfPRDncnWDplOpmwL/Y382uszHes2Yqq2eEqvZGSCOEIGAITE2jL+Eh7XqwdZGhDUcuLcv1WWholASCDseO6LQf1wEHxLDJlz8oWHGhv3x/5WKO2yPFstyc3AKIjAuhJkTRLJBq7/c+n49YLEZvlyueM783L72fR9pabgjLAiSkEkgniBgUv7qWUSuc/vwtC/PVV0it2giGgd8wePv1G7nw8Cnu39vNd405/OSp0+gy+/sSMkDvprtoROdD69u4cFZ4VKOKrTN0ejtTRPsk4ebh1ym1yHXiaJJYVLJho4YQOefbYGZ2upFE+ie8aL5kIOJw4LAbTUZLAcPtomxbYlswc47B8jUB/IHBc0rzsWRJnI5OyeHXBauWF7lQBYKk7vwrzG/8M+ZX/1eei/ex6W8gufgO5qVeBbm09hdrhUKhKEPFd0DbtolEIkydOpWpU90J+LFjx0gkEkpAjwP1JqB9Pl/RovtqDMQq7URhW+6NW9fd1N5CH8+ZU+5B89O3C9+EHSmz+tZajuSrz53hQFec0/0p1s0I4S/SAiX7+IAUZSeAO0+7BjPvXld7Z5RrFjdzvC/Jbw70MLfZx6XzGgH42d5zvHI6yp0XtLF6jNKCA4ZGypZFza1MjxNlw3ADRenDCCGYPsvk+JEkqZQsWwedSkh6OmymzdOzJvO1npMJIXj/hmmcHkgVbZnjBU0TrJsW4k2Lm4mkslcG0lkUuantAClH8uKpCLs6oty6rJVrFlTWx/uVMxEe2NtFMg7XtDbxphVNns57V5hqRFPDk/O100IYg2nc1Qjo59oH+N3hXq6c38g1i5tH5MCsDYrfgDG8GGBoonTWiWWBdDAz6koDuiAmJDbu97Bgkc25zozPZ7DNUyol6elw6D/n0NxW5po4WgLatsgzwRokc6Gz2PdbbTmOu6+OldKJRhwWzMpP3y6/f1Uvm09m6ns8DqHh+9bQ73Pw8zcO70PEYyTXbM46xMx5s/jErBns2PEq+7sLZwM06X1cdfkWgoHRnx+1TBtM4+6wCTcPf1DFUsVTKcnh/UmmtOlMbdPy+oybxvB1MNNQXghYs0ISDkLS0vIcuIWAGbNMpkzLf8+htjBzZw9wvF0wb46koZhHz9QZWO//JNrLT2fdyHv0aewL38SUgUPMfPTfkLvWYt18J0ydUebTUSgUitpR0RX9zJkz/K//9b9IJpN885vfHBLMM2fO5Nvf/jYXX3yxSuEeY5xaWDTXiHPnzjFlypSiK+zVTLjsKltHlZp3dpxM0TJFH14VH6SYvs8Uz1JKvv/KWQ50xblxaTO/O9jL7w728JaVhaPumQitaNZkFk8c6aM5oLNhVnH3v5HwngvaONWf5NsvnWVmg8nZiMWv9vdw5cJGrh0jd21dc12aHcM1OMsV0aJE5CsXIQSalm0oNmO2wbHDSTpPp5gxt3Q0vfOkhZQwfW7OJHAUMtgXTwmwuMqIayaGofG2FdnnnBACw+f+111Iyv/t3LK0hfv3dvHjV8+x9UQ/71nTVlbAdkZT3L+3i11nY65D9CVtLJsSwKjgOzJ1kRmgImhqrG4L8vKZCO9cNaWiNO6jPQnu3d3J8ikB7ljXVlY8a6JIF2PhCiV/gZIKn65hlUp9SadvZyy4GJrANMTQNauxSdLYlHEMP+Dz4diSV56M091hlxfQzij1srVSIIMU+mBERu1/sUWsarsppBnodX9cue2rvCzCl43aeyXTeC2ZQAaCQ228DE2ga9pQCre550WkP4C1ZHXOWFwDrg0bV7Oh6AsJGAPxDG4ad+MUje4zNnOWumnchhBFF8qOHkyQSkqWrQ4gDAcyPhJNy74n6hrZqf06bh2z30QEvGfUCE1n0fIAJ0/HOXhEY8Pa4nMYOXcx9txho7Z4Al5+ScOvwdot87Cn/An6H36G+ZVPY19xM84VN3tyvFcoFIqRUtEU8Uc/+hF9fX1s2rQp60bn8/n4sz/7M7797W9z8ODBmg9SUf9IKenu7i6Zvl1p6ppt50fRRkpkwGag32HG7OwJjVHCFTuVIaAfO9zHU6/3c/PyFt69ro3Ns8P85kAPvfHyE11X6JX+DM5GUuw6E+XKBU0VOUhXgqEJ/vLimbQEdL607TT3vNTBsqkB3rt+2piZloRN93zQNUGjX8+b4BkVGgXlfq7NrTr+gJvGrYnitdSueZhNY6tGIJx9OaznrMBCY9PN4c+smEldW8jkLzfP4GObphO3HP7juVN8d+dZTvQlODWQzPo72Z/k1wd7+Mc/trP/XJzbVk7h798wh2WDgttXQRS90HewaWaI7rjN0R7vdby9cYuvv3SGZr/Oxy6cgd9XfgxNfp2WoJH/FzAIGIWvS6VSXgGwXaWRaxMQKCXmB9tfabqgZZpOT4eNLBXldmRhB+6aIEuuMmqahk8v3G8dvEWKh17JcZCpJDKjB/W5ThvTB6GM6hcvvZ9rtaglbTvns5WQzG6xFTAHBbRtYe57mdSK9ZDTXsvTmnAFn1UtaJ2hk4hJYv3uuVXsdxqPORw7lGTmHJOmFj272L2AqbamFbkmVvH+/I1+Fi3S6OwSdPd428e2YeceDduG9WsdfAEd59IbSP3Vv+Ks2ozx+C8wv/JpxMHdFY9HoVAoKqWiK193dzdf//rXCxocmKbJ6tWr+dGPfsRnPvOZWo1PUYZ6iUD39/djWVZRAV1d+nZt1bOUkiP73Ynv9FnZs4NSc4DE4Dj2dkT50a5ONswM8fbV7vu8bfUUXj4V4ZevdvO+DdNGPMYnj/YBcNUIXJq90OjX+astM/mXJ9tp9Ol8/JIZoybYc/HpWpahja4JGn06/Ul7KNpvVFjPmjuRTbtxHz+apK/XxgwKEgWyGXo7HZJxydzlZu4B6toBNSM4Brht0TIXEYQQbs19AYEmhGDDjDCrpgb59aEefn+kl23tA0Vfa9PMELevnJpVNy1K9ZQtgqllfwcXTHfTuL+3q5M71kwt6cgtpeTlM1Ee3NdF3HL4u8vn0BIuf/syda0qkzVdE5iayFo8G8K2wHEKmtz59eEU+oL7SUC4IufcaZv+boemqUWujV7MH0ZCCWMzoen4tML3FnchsLhylI7jLhbYlvvfjPchhQCfj66zNlOnGQgx/BpjGn0u5FyeSLiO3IPfqU9IkA7GkdfQYhFSay7M20UISnoOABXnnPt0DU245pkWlO0gkEvLNJ3XRYpzHTahZr3o7/TQqwkksHSVW18sNB3pXjSyUrcz0fWhdaBBBAX7UXlg3rIQx48PcOCwxkUbnZILllLCvv2Cvn5Yv8bJTvtuasV+18dwNl+B8dD3Mb/7v7He/iGcTZdXNS6FQqHwQkVXvunTp5d0B0ylUhw6dGikY1JUQL3UQNfaQEw6subBl+NHkpw6kWLRch+BYIaAK+GKnbQdHCnpGEjx9efPMKvB5MMXzhiaOM9s9HHVwiaePNrH9UuamTkC06+ULfnj0T42zAoxpQa9n8sxt9nPZ69xW1U1+ccmSiKEm7qdS66I9lr/PHRcTSBEdsbCwqU+Ok6l2PF8lA2XBQvm25w9YWH6oGXaxIk+Q3YkTojCPdE1rXTHIr+h8fYVU3jD3EaO9RWOAk8JGCxuzU/xLtVTthiGLkhkaMKQqfOXm6bzgz1dfPH501wyO8xtK6fS5M8WdR0RN4V8T2eMuY0+/uKiGSyY4q19UsmIcBl8hkYqWUDEDqZvFzKpF0IQNCWRgh+ndEWlYdDcpqPp0N1hFxfQlRpAVEqJ4wcMHU0WPnk0rXDLIhiM7EYHikfOE3H6om5rs6nTDQxDYlmpwd7PY1n/nMp/TDqQTIDfPd+1wRp3Y8+LSJ+f1LI1RcdUcq2jksVjIYaN+czBfqRO+g8sDzdF0ydobHXTuBctK5zJ099nc/J4igVLfARDGR+qrqFJp+iQ8z5/06x6odEwdZYsN9m7y6LjrGDG9OJzmdePC053aCxZ6DCtSFdHuWQNqbv+CeP7/x/6L7+LbJuJnL+0qrEpFApFOSq6HaVSKVKFbjxAT08PL730EqaqPxlT6klAp1swFKLSCHStvXO6Oixe251g2kyDJSuyJ9/los+Z7Z0+UaC901tWtmLqgp/sPTeiMb54coD+pMM1i4o3bq81Mxt9NI9RfR64gqZYRFDXBE1+HUPzXlubSW50yh/QWH9xiGRSsu+leF5UMBFz6O10aJtj5O1bs4n6KCHStriAUWTNJjeN21ekjGJ62OTCWQ0F/wqJZyGEm95aIYW+09XTQnz2ijnctKSZ7acifPapEzzxeh+OlKRsh4cPdPNPT7dzqDvOu1ZN4VNvmMNSjw7muhAj6rNbNMJupQV04ef9Zqk0btdArsGv09ym091hF7+Gl+nXPGIc200TL0DQV/yaYBSJWpcVzwDS4dwpd3Vh6jQDc1CAlev9nKYWAWjpOG4rr0Ikhp3SpWXhx3HTt5dfMGQClzcmDffH1tBc+K+COZE/J6tBDLafCpo6jX6dkFl88SKTKTN0ElFJKlb4+z2wN4FhwqJl2fdCEQxhllh0ykrj1rQR95CavTBIQwMcPCKKnjadXe7zM6Y5LJyffj8C/AWuA4aJ9a6/gOYpGD/6MvSO7J6sUCgUxahodnHVVVfxH//xH3R0dGQ9vmvXLv7pn/6JaDTKli1bKh7E1q1b+cY3vsEvf/lLvvCFL/DKK6943vfEiRPceeedFb/mZKGeBHRTU1PBNLxyKX+FqNY8rBCRAZudL0ZpaNRYuymYNQHRtNLu2wnbGWrv9JeXzCjY3qk5YHDTshZePBnhYFe8wJG88cSRPqaHDVaPoEdwPaMLQbBM3awmXBFdTVSj0CnW1KyzdmOQ3m63f3Hm7+XsCXeVZtrcAoKgziPQ4IoJvUTtfqYZlBCCoE/DrEFoPWiUb11VCE0I9IL1xhpvXT6Fz1w+hwXNPu7b28XdW0/yT0+38/DBHjbMCPEPV87l2oXN+EqJ09zjVhl9loMz+YK9c20bHLtkeyezxAJQAJugqeM3NKbO0LGSMNBdRDmMdgQaCqYy+zQN0yj+GywUKZa2DZEy4nmQrk6bhkaBP+A6eRuG4Sl9W4gatbCyiohnAMdBJgfTB2wL89gBtEg/qRz37dxx4fO714xCfxVQztXeb2g0+nSMMvfTKdPdz/PYwRTHjySz/g69lqCrw2LRMj+mL3uAZsBANJRuy+iuhQsIhodaf1WLEIKlqwPE4oLXDgpOnMz+O3ZCsGufRmMDrF4hh8W7P4AIBAovaoQaSN35V5BKYvzwy25WgUKhUNSYikJPGzdu5NixY/y3//bfmDZtGg0NDXR0dNDX59ZtLl68mDvuuKOiATz22GM8+OCDfPGLXyQQCNDV1cUnP/lJPvWpT7Fy5cqS+1qWxVe/+tWiUfHJTr3UP4MroKdNK1wDXI14rtW6QCol2fF8zK37vDiEkTOpzv13Jklbsu1YP6+cjvKeC9pYNa14e6cbl7bw+OE+HtjdxaeunF3xOE/0JdjfFef2NZU5Ek8kQj5vRnLVpgRqOllOz2lmzDZZtNzmyP4kwQaNGfMNHEfS2W7RMk3DF8g/P8eoHHxEaEb5mtB065l0iybTECQLlH96xadpnlpXFcPURVFvg5kNPv76oplsPxXhwVfPETQ0/vqimazKiDh7vZSkW2dVRWQAKR3wB/FpBhndt5CDgrPUoYWAoCHoz+lBHzAEAQ2klUIYJjNmmhzenaS7w6ZxSo4QcSSlC2trRIFUn7TplBAaMqevcaH0bWlZEI24KdAeXq6nF+bPG35vpunzdl0YzfTtTBJxVxDbNnLndqTpI7V8XfFxGQbC9JU2hPOAT/NWr582XoynBDHbyaqR1gbPe19A0DbdoOOURcep/IWYcKPGvEXZ4lOIwZ7cug8ZCEE8WvD1NQ0IhhA1alvaNsNk2owk7acKP+/3S9avyUgr13TwD0bOA8EhT4Isps/Buv2jGD/4EvrPv419+0drMlaFQqFIU/EV8K1vfStr167l97//PUeOHCEUCjFv3jwuuugirr/++op6QcdiMe69916uv/56AoOpQFOnTmXjxo3cc889fP7zny+5/89+9jOWL19+3tZd10v0OZlMMjAwwIoVKwo+X3H6do3Mw6SU7H4xRjTisOnSEMFcl2XNdcQtRn/C4qd7z7GwxV+2vZPf0Hjbqil895WzvHwqynVTK+vh/MSRPgxNcPmCsWkjNdaYujaidFovuBHXwosvS1b46eu1Of5aikBYYCUlVgqmzS18vapJpGuU8WKopGmucVNaTJraYOp3FdcObTCKPRLKCQQhBBfNbmDjzDCaIC+d1ev34itg8OUFmUwMp/fGBtyIvWOCL+BGEwcFtK/MOHymQKTE0DU6YAgC6fPfssAwCQUG07jP2MxbIbNFpDUG0WfIMjYDMIRwW47hLnw6OcW9udfySsQzQHcPSCmY0mwjk0mEz5t4Bmq3sFgqAg1gW8hUEgcddr8IK9a5groY/gAaI8+491dYFhEwNQxdEEnaCNx7UObi1vqLg6SShX/npi+/I0TmvVAEgm5WQSo/eqsFg2jCV7NFbiEE6y8Ok+iLFYwWm0bOwllgOItMaBoyEHTPwRzkig3Y192G8fsfI2fMhTe9ozYDVigUCqoQ0ABLlixhyZIleY9Ho9GKBPSOHTuIRCIsX7486/Fly5axdetWjh07xvz58wvu+9prr2GaJosWLaps8JOIehHQtTQQc2poHnZwX4LODouVFwSY0pZ/XpaKPluO5HcHejgXs/jQ5umeJm+XL2jkkUM9PLini6tXz/E8zrjlsPVYPxfNCdPoH1lKXD0ihCBcRc1sNWiaKJj+L4Rg1YYgLz4T4fDOJL6AwB8UNE3NH1clEXCzSqE2VghNEPZli1BTCFJVXDtCZnWp25l4NYcrlAJdSbaov4r0bSllXtRNkxIjFcdKJsDwITU3Gl7udNYEBHRBzJIEDI1A5kKdlQLc48yYbdDdYTPQ69DYkvEGR6v/cx7SHc9gnW6miCu0QJNZ/1ypeAbo6nZ7trc0A/EYsgITqlr4Ekgr5W28sQjW6+3Q34u2/iJ0IfJ61QNu7zjDRIww+mxoWlW+D4ZWvORF0wT+gPdj5q1zh8IwYGeXEpg+RDCEnpJYNeySIYQg0BxCRp3SGQKmicipKRemD+lLUSi1xrnizdhnTqD/4ac48xbAZVfXbMwKheL8pqbuQc8//zzz5s0rKK4LceTIEQDa2rJtFdOpwIcOHSoooOPxOI888ggf//jHeeqpp0Y46olLvQjokydPAtDa2lrw+Uoi0LUSz6eOJzl6MMnchSbzFubXSQ2lqxWhK5ri4f09XDAjxKppHk2LNMHta6bypWdP8+hrnVw8w9vP69njA8QtOabmYWOFrrnRz2paCVWDphc3oAv4BEs3+Nn3XJzYgGTOssLGRZVoxLTBT73i1zUCmpY12TV1QarC35k/p/VYtQghMITAqiYC7vFj1rUCtcteiMcKXoD8usBKOZCKA0GMDAdymUrCHx9BnjyWtY+QEHIgIIuUA8yYg3PLe5k1y8drOxN0n7FzBPTwOEQsQuiZXxPbfDVO68hb5eVhW2CaaDmma1rOBy6Elv1YPFaReAY41y1oaR4Ua9Jx06UD3q6vNUnh9lru5Tgktm91WzStvAC/LogWEoxpx25NuG7ckqqyO6pZ8ElTi3Z7ooAXiBACGW6A/j73u9L0ocbd+e2sakQwDE5/kYu4KH6uBEKDLdNyzkchsN/2QUTnabQffg25YDFiTuGgjEKhUFRCRQL6rrvuKvqc4zh0d3fz9re/3bOA7u/vBxhK306T/ndvb2/B/e677z5uv/12z5HNRx99lEcffRSAu+++O0+wjxWGYdT0tROJBInE+BlkxGIxHnvsMfbt28fcuXOZN29e3s1c0zQaypiSZJKI2yM2EOs6m2Dvjj6mzfBz6ZUzC0ZSTJ+GWSKMdM+OgyQshw9dtogpU4rXPudyTWsrvz7Yx+/3d/KmVas97fPitg7mtgS4aOmsuu497AVtMAU03et5rIRzGiklsWhxC3cjnMJnxHl9f4Qlq1rw+fPPAcMUGB4j5q0hH37ToG3qVJw6WdBKI4SgNWgiJMTjw5+JIyXdUe++EboGzYHq29XkEkhYxKzKhJemgS/gTUE3+I2KFzWkbeFoQDh/gi6lpCvmfn66rjNj6hSCpkZy10sM/PAbOB2n0WbMRuTcj4pGJaVE7n6BgIDABz7JjNkW3WcTNF/c4n7GUuKkP2rbxrz/S+gHdhI8spfkx//Fs+D0jBBoTS2EfTqBjM9NSsnAwHB/cNM0h+7N0rJwRGXneyzmEIlGWLLIT0tLelFToDU1Icq0sNI0QSA48oUqp+ccssB3nIt0HLpf2oZv7WaaZs/BkZJzsezrijBMRENjgX3lUCaV48HPQ9egJVh9+8NaUOp+KFun4ET60Rqzv6d4zC7c73yEyJYWnLRoz0AEg2iB4vdi2dSEM9BX8DnnY39P4kufoTE+QKDAHKzWczOFQjH5qUhAnz17tuTz06dPH4oqe3rxwXTv3IlZ+t+F0sG3b9/O7NmzmTlzpufXue6667juuuuG/t3Z2el531rS1tZW09dOJBLjZqB2/Phxnn76aeLxOBs3bmT9+vV0d3fnbWcYBvG4d2fqRNwZUW1VPO7w3JMRfAHB6g0mPT35Y5JSEggWN7Q63pvgV3tPc9n8RhqJ09uTwK5gorBpZpAHdnfx6vEzTA+XbmHSG7fYe7qfW1e2Fvz8Jgq65qZpm7pGEhiBT9WIKXUOxVI2wnRYuEYQjfUSjeVvY5iiZG18Gl0TiLg78Yr19xAp1DN4HAmZOsTcSXHuZzKQsD31lAVo8Bl0x2q3EJKyHQYq/Kx0Q6BHvRnQyYBOpEKxLwf6StbGRpIOKUfS0tLKwIkjRB66D3Zth2kzER/5G1i2Os/yy0oVCaRpOvoffgqP/pz41FlMnX8Np084tB87R0OzBpYNMVe4NjxyH/qBnUQ3X03wpacQ3/8Cvbf/ZQ0dtQZJWRD2E8353KLRyFCmk98fIBp1U9xlLFIwZbYUJ08LQCMUiNLTk5EqP9CPCOcL0Ux0XWBGRnYOSseGvh5v2x49iOzuInXjO4ZKlNLnwBDhRkiWv/9aSVlSaIZMHSc2vn3z/IHSfd2l4yC6e7IesyyJlRqdRUNppSASYchIT9PAAREtPZeQ8bib1ZCLMND/x+cYmNrKQIE5WK3nZrnMnl25sahCoahvKhLQN910E+9973sLCtuTJ0/y4x//mI997GOej5fuGZwrsNL/zq2p7evr47nnnuPjH/94JcOetIxHCncymeT5559n//79tLS0cP3115dcua0kfVvKkblv27Zkx/NRbEuy6dJwwegiQMx28EmNYhrphzs60YTgbaumEDA0QqZGT9z2HGG8cHaYB3Z38WL7ADctL5zWnualUxEkcOGcsKdj1yN+XSPs0WF7LNBKOD17iYh71SaZfYL9uiBerE7SI0KImv2m3dT5jHZtOZ+JqQu8BIEDhjZkKlUrjCqMzLymb/v0ymvSZSpZ1ljKpwtSqRTiD7+AX98PjoN4021w1Y0Io/AimaYVEdCGgfOW9yFOHUN78L+Y/hfz2Cvm0n3GdgX0YM1p4JWnCT3/KNGLr2Pghj/BbptF4+9+RPiJXxC55u0VvcdyBLCL1NFq2LY92KvZ/RKk43gSjrl0dYPPJwnnXuosC5lK5dW2Zo+j4pfLp4LFZrlrO+gGrN4w9JhfF8MC2vC5z3tAaECR35oQoni/8TFC08ungedmV8BgGvcord8Lwxx0Ah80BwsEvd1f/AH3e3YK/PBq5BquUCgUUKGAvuqqq4qahM2ePZsVK1bwgx/8gA9+8IOejrd48WIAurq6WLBgwdDj6ZXAhQsXZm3/0ksvsXXrVp599tmhx9KtnN73vvcxbdo0vvCFL3h+PxOdsRbQp0+f5sknnyQajXLBBRewcePGsgK5ElE1kvpnKSX7dsTp63FYf1GQxqbC47KROJqkL2HT6NfzjFsOdMXYeryfm5e3MLvRR9jnHsdvCGIeV9vbwiZL20JsPxkpK6C3t0eY2WAyp3F8U/iqQQhByNSqbxc0SmgaFItvejHq8XrOZhpiCSEImNqIotCNPo3+pFOT33XIzF7Q0HM+E1MTFAi+Z5FuiVNrhBAYgAVutNWx3X6uRT52ka45dqRbh2z6iyqqSscrpYRYvoNvLmYyRsM3/x3ZfhRWrUe87U7ElNL1yEVFn2GCpmP/6ScxvvC3BL5zN1Pf/H/o6RDMXWYgHAfj+EEaf/N9kotWMXDd7QDELrwW48wJws/8Cmv6HBJrLi58+BOHaHjsJySXXUD00jeVfW8APln4vNU0Hdu20bSM8ymZpNIWW8kUnDsnaJua0cs3k0RsyMisELWpf/YWMZexKOx4HnPNBuzgcMqwqYFAIJFDtc9eKDX2gD7+C4+lvEBKIYRrCDda3TSF34d0LHBsRKF+z0XGJP0BT79phUKhGAkVCehyjtfNzc088MADngX0unXraGxs5MCBA2zatGno8QMHDrBkyZK8tJdLLrkkrzf0c889xw9+8AP+/d//veJ2SROdsRTQ+/fv55lnnqGxsZGbb76Z6dOne9qvEgfuCv1osnj9UJJTJ1IsWeFn+qwSEzEdhBQ4UtKfsGnw6UMRNikl336pgwafxttXTxkSz+BOzOOW9PyZX7pwCvduP0FnNEVbqPB4+hI2r3XGePPylnGfRFWKrgkafPkLEPVAqVNOE26Eslg2QSUtdXLf+0ii0Mag8VXAkJ4XaorhK9AyzE1JHz6urpU38wqaoze5N3ThGpulkmAl3fY1ps/9y22vIxyID26DdH/EvvwJtaHlfydlSRQ2DstEOg7c/y30k68T/PD/ILF8jadDC+GKp+zrmhiOhIUasD7y/8P433/DrN2/pHPO24n2Sxr7O2j+8dewm6bQ+46PDoffhaD/pjvRu07T9NB36J4yHWvWwuEjxwZoeOynBF7+Iwgw2w8TX30RTnPplno+XaA5NtKxETmh/vT1W8+MthZobVQKx4FdezVsG+bNKXK+2TYylSwqlLy0bCuFlNKT65V0HOSP/gv6+wjd9A76M55zo8WShPAXsKwuTtivE7UH078zf29C4BuBeVgtKGemWQ5dF6NSB51GBENu6n0lmCbEsq93CoVCUWsqWtfdu3dv0b9t27bxox/9qCLBpOs6t912G0899RTJwXqq7u5utm/fzjvf+U4AvvWtb/HpT38ay7IIBoPMnDkz66+52XUunjlz5pB79/nCWAhoKSUvvPACTz/9NLNmzeLWW2/1LJ7dFeoKWlhV+X7OnklxYG+CGbMNFi0vvlLt8wkyM3sdKelP2qQGG3i+dDLCno4Yt62ZyrRw9nE0IfBXMNG4dGHr0DGL8cqpCI6EC2d7N1kbS3QhCv75dY3mAtH7esHtF1z8+VLj9hrpMrX8mkEhBMEq23WlF3FCpu651VMh0lkBhcid85dyqja10e3bbWiaO79N54BKB5JxiPRDPO5Gmx0J8RhatN99Lj0hLmKzXnH02bHd1yq33e9/AXteQt7yJ4S3XFHRa5i5S9RmjvP79DnYH/gbph98FCFtek8laH7gS4hUkt5334UM5lwbdIPed/4FTqiB5ge+ijbQC9Ih8MrTTP36pwm88jTJS68nddc/g4DwEz8vO0Z/+nyLRfOeSwvXofTtVKriVKEDhwXdPYKVyyVNpUqdC9WuUqP0bSuFF0Elf/sT2LcD8bY7MQsslPh1DQLeo89+QyNk6jQFdFoDBo2DBnc+zW1tNt4t8Lx4PZRCN0pfa2tB7qJO2e2FKJnNoFAoFLWgogj0P/7jP5bd5m1ve1tFA3jzm9+MYRh84xvfYP78+Rw6dIi77rqLzZs3A64Td29vL7ZtV9RjerLj1guProBOpVI8+eSTHDt2jJUrV7Jly5aKBHGl0atqItCRfpvdL8ZobNJYs6F4nZRhujd6K2e1XEpJf9IhaEi+83IHMxpMbl1RuJ+1G4X2NsjZzQHmNfvY3h7hhqUtBbfZ3j7A9LDBvOb6S9/WNUFLYOL+3nRN5H3XaQxNUCzT2uspW6wu2KeL4j1jSx0vQzSHfTq9Cbuq33fAEEXrvDU9u0e2qQtihYJyI1gI8IqhUUTUSDfCmXLThIUGIncubA/3UU5j6hr+StPN4xmivAhyx/Pw6C/hoivQr7i+suPjij9NzyjJ1PN/63LVRoxbbmfq0b30JGainz5O37s/gd1W2HhIhpvofdddtH73bpof+ApS0/GdOEhy7lKSt74P32y3TY9z6Q0E/vgbYpdcjzWzcOseQ8s4XywLmUgg/P6h59Otq4au+xVGn9tPCY63a8yf6zB7Zpnz2baRySQiJ7tgpNFnwFP6tnxpGzz+a7j0GsSl1+Rv4PNjBIL4LUh4uA9oGYtZmuZGaoeyJOrk0lqLpD3TFCQTdRbtNU3PKfsKhUJRDRVdxsPhMOvXr8cssLoXCARYtWoVl156acWDuOGGG7jhhhsKPvfJT36y5L5XX301V199dcWvOdEZbfEciUR49NFHOXfuHJdccgmrV6+uWBBXlL5dhYFYKil55fkYQhOsvziEXiQdTtcFhiFI2YXrS6WUPHGkn2O9Sf7m8tlFxZGuudHXhO1NRF84u4Gf7TtHd8yiNZj9UxtI2uw7G+OGpfWZvj3exjYjpdoItNdTttg5ko5CV+IyLXLSwXXNnXhXWk+tC0GwhIjMfW+6VjidPaAXF+G1QgiB7lhFa9XTwrbg9+HYbnQ6HR3VBA2+KgS/XTqlV7a/jrz/W7BgKeId76v6d2oakHBw31JeSNrFufpWZjz4W/YE1vH6tXcRXnZByWNaM+fTd+uf0fzT/8QJNdB36wdh42UEMo5vX3Ez2vYnCT/2E3rf8/8UPE5eVk08hjQMxKCyEkIM3e+lY1dkxNXdA68eEExtlSxb7PHinojnpeePNMIppSzrGC6PH0Y+eA8sXoF463uynzT9ronV4GcSNiWWLcsukgVNbSjCPNpR2moQojaLE5om0HVG3H6yphhmofoJhUKhqBkVCeg777yTN77xjaM1FkUFOKPl3IFr6vb73/+eZDLJddddx7x586o6TkXp2xW+HceR7HwxSizqsPmyEMFQ4dfSNDB97iQhVaJW67HDvcxsMLlsful2KgGzAgE9J8zP9p3jxZMRrlvSnPXcK6ci2LJ+3bf9o5i+OxaUOvX0wfTrQospwsOE0tRKp176DY2Y5XhufWYUSAcPGBpJWw6VF3ihXM2ym9ous+aUPl0Qz6hrGC3jsFyklJglBfTgeIoNxbFBM9CEoNGnV+687TglBbTs70V+50sQCiP+9K6iTtteEAIMHSxpFHQzTm80823XceLJHl5LXMjKiEUoXPr8Say+kHMtf4/dOg1/YxOBXDEcDGFf/Rb8v/kRvkN7SC7JTknWNVGgXEC6qdwZ/Y2HMr8qaFsVi8POvRrBAKxd7XjO7MCxkYkkwj8sokecwl3G9Ez2diO/82VobEG87y+Heh0L0+8+lhOmFUIQ9mn0JUr0m9eyf0c1SUOvMcUWnKvBMItWVowLQgikaVTcak2hUCi8UtFlXYnnyY9lWfz+979HCMEtt9xStXiG0TUQO7A3wbmzNqsuCNA6tfA6kBDD4hkgWWSFvL0vyf6uODcsbSk7EU+bPXlhVqOPOY0m29sH8p7b3h5hashgYYu/wJ7jS1Za5wTFrb8v/rxR4Hv2Ip7BNcAqR6lIcC7Fap7DGRGsssfwmMKc+73mnssBY4xcgZOpom3k0gitREq97UZCG3xadedqif470kohv/sViAwgPvBXiMbBxS/T572fVg66DsJXer1a85msv2Iqpik4+JrhKdhrzV5UWDwP4lx8DU5rG+HHfpx3kS3q6WBbbj/dDLxEcYfGZMOO3RrSgfVrnWJB9+IkY0OLW0JUXgqUf7ziaecyNfhdx2Pud93Q5D5h+tAam/LEcxrX8K/47y1k5ovu0fpZ6br30pPc/WqFEALDrLN7hlF/pVEKhWLyMKJKnFQqxXPPPce5c+dYsmQJa9Z4cydVjJzRikC/9tprRKNRbrrpprw+3JVSWQTae/pX+7Ekxw4nmbfIx5wFxW+Spm84smc7smhE8IkjvRia4PqcKHExgoYg5XG1ffOcBh56tZveuEXzYE1xNGWzpyPKdUua6zR9uw7DJVWQrjsshKELUk7u9t6O6+Xz8RsasZTjqRa6WLp8OpXbSzp42GPNcm4qqZGRxm1oVdQRV4uVKGmWZpx6HREKwPQZRfa3CTXonhezcpHJJGx/pqC4kgf3wesHEe/9C8TchcNP+PxogWDe9l4QAoyAr2zvbX9AY/2FfrZvi3Nov8HyVVbJ89Kvi6LiGQDDxLnunZgP/ieBXc8Rv+DSwfEIfKUWHhJxN5V7KPqc8rTKKSXsfVVjIAIb1jqEQ2V3ycdxXLHu9484cisdG5lKwM4XIJpv6Cj374bjhxHvvwsxO2Ox2IO6DJkaqQL3Fb9euHe6polRSXPWtEF/jwrc+zWtBgsTORiG22t+jLtrFkWYJlKlcSsUilGipID+2te+Rk9PD93d3fh8Pt70pjdxxRWuC2lnZyf//M//zOnTp4e2v+yyy/jrv/7r0R2xAhidGmjLsti5cyczZ85k1qxZIz5eJTdor2+n55zFvp1xprTpLF9TPHortOz6rmKGUnHLYeuxAS6Z20CTR9MsU9cwNKfoMTO5cE6YX77azUunIlyzyBXoO05FB9O369N9e6LXP6cpNfku1AfZS52iXqB9VTH8hka0zEqLLkpH+/2GhuXIkuZ1AcN7FLbQZ5JO4y7m3l1rpOO4YUpcAZ/7OzJOHqH1u59D+gMMfOzTOK1t+WPGHpnR2Y7nkPf/36JPi+vfilif2WdZuHmq/oD7IVa6gKlpGH4TJ+GU3bV5qp9VKxPs2Ss4dlRnwSK7YIRRE2XE8yDO2otwtv6W8BM/I776QjBMD/tJiEeR4Ub3Op4q71YOcK4bOjoFSxc5tJXunlWaRBzp8xVPefdKMgFP/x750H1FNxE33YZYtzn7Qb18yr4Qbiu/3riV9Vix81LTRifNOZ0UYVve76O1TN/OxDQFyWSdKGhwzcRKZCAoFApFtZRUDE8++SRCCO644w5uvfXWoYhiMpnkX/7lXzh9+jS6rnPBBReQSqXYunUrK1as4E1vetOYDP58ZjQE9L59+4jFYlxzTQEH0grRNO+poNLxtmodjznseCFGICC44MJQSQOU3N6WqSIr/88dHyBmOZ6jz2kChrfI4JxGHzMbTLa3Dwvo7ScHaA3qLGpV6dujSW7v40wK9UH2YqhTzDysEH5DELMK11qn8ZIOHvbpg2LcyauJ1ip0zHZTSbN/b4am4dfz07tHjZRF+nvJFNC6JvANdBN+8KvQ2IwWj9L4w6+Q+OinsHyBoe0MTRA2QFrWcIS0AqRju+7aoQbEf//n/FUFTUeEcrwJTN/gZyfAH4JYfllGSQZrqE1TkPDgWDxrQYDevggnTuiEQpLpM/NVd8jIr50viKZh3/AuzG9/ntALfyB66U148lyz7cFItPcC1xOnNExDMm/uCO9P0oFEouqI/9Bhes4hH30Ilq1BvOcj+RsU+q5huFd3GQzN/f3FBtNZgiUWs0ajDjozkqzruL3VyzDS3s8lx6MLNF1SaevmUvj8AtsG28N7y8NQAlqhUIwOZe8Sb3vb23jrW9+a9diPf/xjTp48SSAQ4DOf+QxLly4F4KmnnuKhhx5SAnoMqLWATqVS7Nq1i9mzZzNz5swRH6+y/s/lt7EtySvPR7FtyebLwlm1zYXIzewsZCAmpeTxI73MbfKxclplEzWvKbpCCC6cE+bX+3voS9iYmmDXmRhXL2oa9x6ghZgs6dtpSgULTV3DGoyEeq1/rkRAa4NpsokSaZteez4bmqDJr5OyXYOytJAOVVAnPTQuXWRNRk1duH2Za4B0nPJRQ2t4QuvTwDA1N6qfSmE88DVEIob28b+H/h741hcJ/ORbiPd9HISGJUFP18XalmehkzXGWBT2vgLrL0I0tXjbKcMZWvj9yESMilSC6e4vNIFhlBc6wvSxbEmM/ojDsaM6gaCkqXl4n4ChVdSHXS5ehbP8AkLP/Bpn8xUIf5O3HRNxsEq7laeJJ6CzE+bPlXnX36pIJiClIQud34ZRtj+wTKWQf3gI4lHEze8arm8uh6ZXlD0VMnVStkTitpErhtDyF69GSuain254+6rMUa5VNs3S17xK0AYzyTTN/anblrdFgjTCNJHVZIwoFApFGUre5oQQvOUtb8l67MyZM/zqV78C4EMf+tCQeAa48sorice9pXopRkatBfTevXuJx+Ns2rSpJserKH3bw71t3844/b0O6zYFaWgsPXESWrYgshyZ16oH4HB3gmO9Sa5Z3FSVgAh4jPxdOLsBR7rO2zvPRLAcyYWz69N9e7Kkb6cpFWnJFMNevn4hCrkWl6ZcTXElgjy9fZNfp8mvEzCqq1ku9F5rVg8ZGUCWMuhynKxZvpZOiZcS/RffQTtxGN79YcTseYgV6xC3vBt2v4R89JdDn//QgoFHYZfHnpcgEUesu8jb9kIbiiAPUVFkVGTtrxveTJ/0QJAVy20CQcmh/QbpW6uulU7dlhJePy441539uH3D7YhEjIYf/H/o930t66/np7/g8B9eJdWfXydcrt1XmvZTAolgzuza3JsEDiIWgehA/l+kwDhzkGfa4enfw6ZLEXMK98EuSBWLMg0+nXAZF3yofTurzDUEIUTZyLKupzNzRo9aGopljjV9XH/A/a/nS9YIHPQVCoWiGCUv5w0NDYRC2S4g3/ve97Asi9WrV3PllVfm7ePzKefDsaCWAjqZTLJr1y7mzZvH9OnTa3LMWhqIRQZsTp1IsXCZj2kzy98MvaZvP3GkD78h2DK3saqIiVcxNa/Zx/Swwfb2Aba3R2gO6CydGqj8BUcZcxKlb6cpFaTSM8SYl4mtWaDdVNl9SvRUNrTS7bBKH1cj7KvORne0WurIVMqNykajbs/gQhSxlta2/g59x1bs696OfkFGPeoVN8CFl8Pvf4HcuT17J9t7T+Kscb78LARDsHSVtx1MM+97Fz6/q4S9YBhZ+wshvIkYn0k4oLN0hQUCDr5mYFtu6nYpjp0QHDissXufli41B0DOmIt93W2IZAKto33oT549w+7GazlsrGHbc4JTzx1AVmDqCG6A7+Qpt+dzaGRZ10OU/GnYKWQ8WvRpKSXy4fvd49z4jspe2EP9c94uHrsz1KLvcppCfZzLaf+xcso2DFfo+nwCwyjdEaEUhT5SIdxj+nweRbSpBLRCoag9JS+3gUCAjo6OIVH1xz/+ke3b3UnMnXfembd9IpHgzJkzozBMRSZSypoK6D179pBMJtm4cWPNjlnLHtAnjqYQAuYv8rY4k2ugWih9eyBp8/yJAS5f0EhDFX1kAbTBVNJy34UQgs2zG3jkYA+6Jrh8QWN9pm+PlQPzGOK2s5JFz7G0gZaXr6PSaHGagKERKVAvX+3xRkqhOuiakBpMzZYORCPDBlRZ2+S3QhL7d6L/7gHstRehX3/r4IOue64QAm57P/LsKeR934S26YjZg9FEx0E6dtlU3kycZBx2vwRrNiF8Pm+pnWYRr4JAECL9HvbPv25pGmV7YAsh0P0BGsMRliyz2L/P4PXDBlPWFv/ius7BgcOC5kZJb7/g2HHB4oXD2ztX3oxz5c1Z+xw9Jogf0Vg5vZPTr8fYE1/JyUeOsXK1QXh+ERf0HDq7IJEUrFhWu+LXsr/JeBxp+ArWwcvDr8FLW+GqNyFap7oraV5T7mvZ3ymHWi5eFVqEEVrxGmQ3ajt21xwhBEJPL2K6r+s4kqQHDwB3/9KlNUIT+PyQTJS+lgljMI1boVAoakjJq8r69ev5l3/5F379619zzz338LWvfQ1wU7UzU7fTPPTQQ6S8NK9UjIhaiudEIsHu3buZP38+bW35brfV4lVAl4t02Jbk5PEk02cZ+ANeVviz01GllAXdsp95vZ+UI7lmUVPVUQEhBF53vXBOGFu6vagvnK3ct8eS0mnc2mBtogcDsSrPE59e+PjVHq8W1DISBq4xV1Z02bYhFs3fJjcd+OwpjAf+EzljHuL2Dw2PyzSHUi+FYSLe/wkIhZHf/hJyoG94/0rTuHe/4vb8veAiCDeVVzRCQxSJYAnT5y1aWWB/z/N5vx+/rtPULFm4yOHcOY1DRwt/d5Eo7Nqr0RCGTesdprdJXj8uSJRo35xMuQK6bYpk7qpWNl8/k9X+VxkwpvDsoRkcfPQ1rGj5sqwTJzX8fjky5+0cyv8kJUQHCt4P5c/uhWAIce0t7kJHIaOwwq9alTGdV2r5uyt2DhkFMhSEKPz4WKNpwnMrdS9ZGkIIfH5RPoOowCKWQqFQjISSd4o77riDT3/603z3u98demzFihV86EMfytv2kUce4cc//nHtR6jIo5YCevfu3aRSqZrVPkNlDtzlAkCnT6awUjB3obcbYO5N13Lyo/WOlDxxpI+lUwLMbfYzksCrIQR2EafnTBa2+JkaMkhaDsvb6jB9W6/cjGqioOlAkXU9QxOenLBH4k6uCYFPFyQyzG9EBe2wRoPMljrScVzDJp8vK5orRL7hWFGSSVcM/+xb2DfdgZy3BFJJZFxHBAbP92TOlxCLYP7gS2AY2O/9K3zBjEiv6XcvDoP11KKpGT7wV8iv/ivyh9+AD/8P9xpjWeDz7mYvX97qtqJasxGh68hguHQUudzEOxCESIlFY00vGCEXQiA0Wdb/QQiBEfBj2jaL5kpScYejxzQawg4zpw9/LykLduzWEBqsX+ug67B0kcPZLo3DRwWrlhf+Do++LrBsWLrYHYjQNWZvWUZbzwCHnj/IUf9qzjx9js2XSALNhXOzo1E41yNYvNBB6+/G+MH/QS5fj33lzdULl3MdiN/dh/P6wcLPt0xB3PIuxNLVEI+5KfmDOLtfhNd2IW79E0TrVETAfc5TT+BRFM9pauVpVUxAu6Zb2Vk3Y5W67QVdFzgeTMa8llUJIfD5IJUsnmmEYYKj3LgVCkXtKHm3aGho4N///d957rnn6OzsZO7cuWzevDlLHHV3d/OlL32Jc+fOsWHDhpr0D1aUplYCOh6Ps2fPHhYuXMiUKVNqckyozJCoXKndiaNJwo0arVO9LVvnZt8lC9yo952NcSaS4i2rWt19RiAcNY3yuZi4n8kHNk7DcmRdClX/JI0+Q7rmtHhrFb8hSJb5TQVGmN4eMDQSGb2cq6mnriVZiwopy3VbTiSQPhN8AYSuo+tutMiTh1Qqib71d2jHDyF++GVSf/FZaGqFRAypa2601soIhdo2xgP/CT1nsT74PzHapg5HHDU36isdB2LDrcjE3IVwy7uRP/8+7NsBqzd4NrgCt+0VO1+A1RsQ4Ub3mKbPbdNUzPisjKeHMM3S+5cQkJomsL3UGvv8hBMJQLJiqSQSkex9TRAKSpoaXdOw3Xs1YnHYdIFDcHC9IhSCObMk7ScF8+dKwtl2JsRicPykYPZMSUNOgNbX0sCqG5Yya+8hXj41m50vxdh8ZbBgdvOJU25JwJyZEv03P0OcOoZ28nW0HduwbnkvcvkF5d9jGiuF9sffoD/1sLvwsOGiwrXmr+1GfuPfkRu3uEZzs+e7qbqOg/zxd6C1Da65eUg8A956Anutax8BmibK+n6UPYZe+j6rGwJnsB+zpo9e26pq0HWB5aGEpBKzMyEEZgER7aaBg2aaiGSVpoMKhUJRgLJ3C9M0ufzyy4s+39TUxKc//Wn0UawbUmRTKwG9a9cuLMuqae0zVFb/XCqFu6/Hpq/HYcXaQMHJgiMl0eRgOx+fhlEgVbZQ/fMTR/po8GlDqdQjMc6qRHyvmR4qv9E4IIQYt3rcsaJU1MNvaiRL9PQ2NVGV23UmhuY6SKfPx/H+vLPqoIfaSkk3kpxMIk0fWlMATTPL1kvLVBKiA2g7tuEsXoU4cQTjh1/C+tCnXAEZjUKDQMjhXA39kQfRDu7GeusHEIuWZwszI93ySUOaZnbd9Jar4JlHkb96EFasQ+BeD70sRshXd0I0gti4JTtNNxiG/l7yeoZrGsKLg28gCNEi508JAyMvddAw+Dn4TEgm0TS4YI3D8y9p7NijcfEmh2PHBV3dgpXLHFpbsvddvEBy6ozg4GGN9Wuzw3MHj7omTJk10rm0rF7IBQcf4eWmG9m7O8naC8ys1GrbhpOnBdPaJIGeE2gvPY1z6fU4KzZgPHQv5r1fxFm9GevNd0Bz6fxucXAPxsP3IrrOuPXwb70DraW14LYylUQ+9it4/NfIfTvgTbchb3wHvPBHaH8d8ad/hdbYnL2T6SsvoMcgAl0LJ+5yqeCZItWsg9TtXMpltlRgazBEOp3bSkkQbgQ7s4Zaat4zVRQKhaIcI75bKOE89tRCQPf397N3714WL15Ma2vhSUq11MpA7PjRJJoOs+blT0JTtiSasofaU/UnJM3h7HPRdmRehKc7ZvHyqQg3Lm0ZEjEj0TLjmYZbK7JaA01Sip2SQnPN07SUU7DVGUCoSrfrXPyGRmpQqI9n/XMaTQMr5RSsI9adJCKSRAZC6HqgdO/VZALtla2IVBLr+ndCfy/Gj76M/vNvY7/zI6CBLzWA8LnRUueFpxFbf4dz6XU4F12FL/culBn1dcNKQ/8UugFvvh353S/D9qfhkqvc8Xtw2pXbn3bTvS+4OOtxoetIfwASsewdipmH5SAM0422V0hFvkb+IFg2ODY+n5um/cLLGi+8rBGPC+bOdphboH2UzwcL50kOHdXo6YWWQU3Z1w9nOjQWzXcIlHmbU6/cxPKf/ZT94p00HndYOH/4dc6cFViWYO4sB/3hH4M/gH3VrRBqIPXxf0J75rfoTz6E+aXd2Ne8FbmsQDTaSqE9/Wv03S8gp0wn9af/HblsbcmPX5g+xI1vR266FPnz77tZCdufdtPx5y1GXHZt/k6GiWtmVeJcHpMI9MiP4WXapRsCpPce92OJXiazZSSL2sXS1SsxG1QoFIpyjP7dQlFzRiqgpZRs3boVIQQXXnhhjUY1jPf65+LvI5WSnG5PMWuOiZlzQ4ynHGK2Q2ZYzJGSgZSNDYQG+3EWMg/bdrwfR8JVi5oAN4I8klTaOpybVMxkNQ/LxO2RKofqftOkIzlmTo1ymoCh1WyRxKe7CxWCkU0Qa4XQRNG2UkMT9HgUEdSAwgJV2q55mPb84zizFyLnLgbAfuM7MB79CXLGXPQ33jwctXz9IOKn34Wlq9Hf+icYuXPa3Kiv6SNP9KzZCAuXIX/3M9i4BRFIlRXQ0rFhx/OwegNauICJXyDouohnruiNsvGQ1zpoGIxCh8IQGQDp0NgAa1Y67Nqr09oiWb6k+LV0/lzJiZOSA4c0LtzovtiBQxqmKVkwz8O9pKWNhbNT9J9+loNcQjgkmTboN9l+UhAKSaZ0v4q2fwfWDbdDaPDzNQycq27BuWALxq9/gPG7B+B3DxR8CWkYWNe+HefymwbbhpUfFoCYNhP+/L/DrheRv/wh9HajffC/IQqoVCEE0jCKp9trWsH9as1IXfCF5u0eW8+xDU0rfe4rratQKOodJaAnIHauCqiQI0eO0N7eziWXXEJDQ+0dob07cBd/7tTxJI6dbR6WTtlOFQhba4M1pXHLIeVIGnx6wf7Pu89Emd/sY3rYnXCPVMgI4ZpLeaplrEPSBlfnA5ousHPOifSp6tcFiZyIiCYEQbN2E2ohBH5DlK37Hyt0DVIF2kppWnaUTItFwGgoHJ1LJRGv70c7exLrbR8ceti58mbs08fRH/0J2tw5sHoDsuecGzlumYJ4718gCs3wc8KOQoi8NG4hBNx8O/Kr/wpP/Q7edFv5N3tgLwz0ITa/oeDTQghkIATRgcE3rY+qG3MaXSu80FcI1/RseIwzpkFwk004VDqqqetumva+/Rodne733t0rWLHU8Zyx7Fx5M+v+z6eJtC5k96szuGijg5TQ2y9YvtjG+NX9yOYpOFuuy9+5tQ3rzr9GvH4A+nsKHl/OXQQtw10gPPgvu+nWhoHQTbjiBsTFV8CpE4hFy4vvZvqKC+gq+j9XS6aJX6V4vWeNp8eCF3S98LnvdYFAoVAoxhMloCcYlmXhjMDCM5FI8NxzzzF16lRWrVpVw5G5uH13vYmOQm/DdiRJy+HYkSSNzRq+sCCecjdM2MXTbDNXrG1H0pfIn53ELYcDXXFuWNoy9JhXp89S6B6duOsJXQgCpoa/SIulyYiuC1IUFtDG4AJMZnZHyKy9M7lf1zwLptHHQThW3pmbr2slejKC5W/MitBJ6dZMa88/jgwEcdZd4qYaJ+IgwHnHn6F3n3Fdsz/2t8iffNcV3B/9n4hCUWAoHPXNSeMGEAuXIdduRj7xG9hyDaKhqfQ7feFp9zgbLim6jfD5kYkE2Kmy5mG1otKApzBNpD84lG7e1Ohtv1kzJcdOSA4e0dAEhIKSObOKnIdCA0MHzXD/m/7sr3gTmx//N5656j/YsdugqVGiaZI557ajtR/Fesefl4zaywXLvL9PDffDaWwp/Hyh32UgBKXEMwy1Riv83NhNh4QmwIMTdSEmS3RW1wuvZdRDdo5CoVCUQ3WXn2AkkyWaenrgxRdfJB6P84Y3vKGiWmWvVObAnT+BiKccOs6miEUkU+fqxCx76K+YeIZ8YxYp89tXvdYZw5awdsZwO5aROHAPHWMC/Yp0TdDg02kO6AQM7+3GJguZbrRCDJ+vQgh8GRO3WhiHFXz9UTpuVSST+YZGYljUyd5u5KFXAdBwIBrJ/k0lU9Dfg7Z3O86GN0Ag6LasCrlmeUbYj/jAJ8D0Ib/8z66503s+ipg5p/B4ikV9h9K4c4b65ne6rbJ+/3PXYbsI0nHg5W2wZiNaoHArpiHS7ZA81j+PlGoMpUQgUHF6uSZg2WKHWEwQiQqWLHLyxXsgBA1NiKZmRKgBEQi46fTCVWzOJdcSCOpsPHAP8QScOasxs80m8IcHcGbOw1l/aeVvpggCwPANpjvn/1V9XF0vrkDHMOe52luvELXv4T5euN0R8h+fLAsECoViclMnMzmFF0Yafe7o6ODVV19l9erVtLW1ld+hCipz4M75t5QkpeTsCRvdgCkzvN1JNY9R1D0dMXy6YOmUDAFdg8lILUT4aKMLQaNfpyVg4D8PhXOazDly7kQ00xm7VsZhdU0qmbf4o+vuJF1GB5D/eTfyPz+H3P0SmgZCWm7P3aH9E2gv/RFh29gXXTMkOoXpQw8HXBfclqmIP/0E+PyIN9+OWL2h+HiKRH2FEAUFo5g2Ey65Gp59EnnyWPHjHnoV+noQFxbvJjF0TMOAYEPh9PJRwM3YqWLHYKhiw6upU6BtqmRKq2R67uVf0xF+f+H3nX7MMLGvewdTjzzDmsB+DEOy4NyziO6z2De+qzbuWIMIjdGrQS94XDEmBmJpqhXBY1CiPabktteaTAsECoVicjPJLseTm5FEnx3H4ZlnniEcDrNp06Yajiob7+nb+dHklCNJxR16OmzaZuue+0B6nVTsORNlRVtwSCgJIUbkwJ1mIqSchX0avokUKh8l3MWW9P9nP+cbXIjx19A4rF6Rtg22lWfWZOjuc/L7X4fuLpg+G3nfN5GnT7hiO5lAJhJuxDeVRH/hCZxFK2H6nCEBLASYDaFhQb1wKeIfvoy4+qbSgyoV9S0mrq9/C5imayBV7L2++AwYJmL9RaVfP31M/9i2u6lGMAgh3Eh/BYpKCFi/xmHjOiffpKtU+nLGdcNZdwnO7AXMe+o/ueqCblqe+iHOkjXIpWsrfAflxqqNXkp1oTRu3RjzRcVqIq2V9EaeCOgZ12NQ4lmhUEwc1Ix6gjDS6POuXbvo7u7m0ksvxfTQ8qVaRlL/nLIkZ9stpIRpc71PnrxMKrqiKU4NpFgzfTj6rGWk8I6Eep/T+HQNU4nnIdLnS+6pKgYN1UI1NA6rW1JuP1xNYyg7WtMGo88P3w8H9iLe8X7ER/4H+PzIb38JLT5osBWPQTyGOLgL0dOJc9E1rnPy4AdqmoMZIaHwUFSvbERXN0pvY5gF851FYzPiqptgx/ND6eaZSMdBvrQV1mxEBOqzD3vV6bya7jpe+wOe04/dsoUCT5SoDXbb/wyfJPaN70L0duH7v/8KsQj2DbdXPvhy4zRHT9AKs8C5NA6W1aZZOIW5FJMtAg3Z92+Vvq1QKCYKykRsgjCS6HNfXx+vvPIKCxYsYP78+TUcVT5eBbSd0zJISknCcehst2mcohEIezuO1xX5PR1u6uma6cOTaKNGE7R6duIW4jwRhBWg6+DYhRdPwuZ5kt6ecT3RBDjS1bry+afg6d/D5dcjLr7S3eADn0B+/W74/lfR/vS/4wgDbAv9+ceRDU04qzYNRYgNQwz9JoUQyHAD9PeVttyHsum6Q27cyUT+k1fdCNsew/m//xsWLMl/n91diHe8v/TrjyPu51XdtUPoOuhBIOjWp1uW22DXtgr29y5ylPLR3ozGvXLxapxl69AO7MJefxly9oKqxl50NGIMsgAMc2gRyf332E+FhBD4fALLklip8t+/bkxOw8fMntCTcYFAoVBMTtTlagIwkuizlJJt27ahaRpbtmyp8cjy8XKDt6z8HphJWxIfcEjGJVNneV+G9py+3RGlNaAzu3E40lLLm3W91kEHDDEhUszHEk0TebV3aSbjBDUXadvuCsIg6ciz9voB5E+/B8tWI25599DzYv4SxG0fgEOvov/mPvfBnk7E/p04m69065sNE90QGDk924WmQ7iBso2JvLheF0nxFj4/4k8+7PZyPnk8+6/zDCxfg1hf3H27HqjFtUgIgTBNRCCICDd6P6iXaG9OBot10x04qzZhX/+OKkdbHCFEabfsWpB7/HEQ0MMvLfD5ReHMANw0Z79fYJqT89rktqBMX4cm53tUKBSTDxWBngCkUkX6Vnrg3LlztLe3c/HFFxMOh2s4qnw0rXz0TsrCq+0pWxLpcxcJwk0eJ35CeIpAO1KytyPGxlnhrPHVss5V14CRteeuOboQBOvF8bnOGEO/oPojlR3F1TSgpwv5va9A69TsHs2aBo6DuPANyNMnEE/+Fm3aXERPFwD2hVeDz49RQDynEYaJDIUhFi0cidaNwTTh0gjTRAot+xhCg1AY7eIrIR0xn4BomijoCzEiTJ/bUqwcuofFC5Hz/UybhfWeT1Q3rnIv5RuDemTThLQfntA8nX+jiaYJfH5IpeTQ2pZuCAzj/BCVujH536NCoZhcnM/TyAmBZVnYdvXK7MSJEwAsXry4VkMqipf07UJZhY6UpKQroDUdAuHamoe93pMgknJYMyO7hU0to8b1GIEO+c6TdOQqOK8/l5xyEGEl0O79ktuj+WN/iwgN9mjWdGhoHErBFm++HXm6Hf3h77t10cvXQ0sbRshfVDwPvYbPjzR9bgp2Ip4VAa/Ibdn0QXJQFBomhBqyelNPVDQd8Jpx7RWfRwFtepgGjGGNsBiDHtxC05C66fb8HsfocybplG7bluddNHYcStAVCoViREz8mcckZyTRZ4Djx48zdepUQqHRN9Apd8N3HJlX+wxu9BkpifY5hJq8iz6vQYPdHTEEsHra8GeQrluuFfWWJm3qynVbkY+0rCzxKqVEPnAPnDqOuPNjiBmzhzf2+bJSsIWmIe78GEydhohHsS++BiNkYvq8nWdCCIQ/gGhqcc2v0mkAlQgm32BP6GAY0dA0KcQzjI77sND08qkWuu7tMxyza4mbhj4mpF+nztSb7rEt42RipP29FQqFYqypj6VXRUFGGn1OJBKcPXuW9evX13BUxSkXgS5mlJK0JY4jifZLps/zOJkRwvOkc8+ZKPNb/DT6h49da+fsenLiFkIQVsZhikKkcswIH3sYdjzv9mhelXOdSLehMkxkMAyxAUQwhPjQf8fasxN95VqMUHZWh1eEz+9Gsa1URemzwjCRjc1j1qd5LBnMlq8tpn/YoakQHmuNhaYjqd7szDOGjjZWYj393vUxEuwKhUKhmDSoWXYdM9Loc3t7O1JK5s6dW6MRlaaUgLZtWXBy6EiJ5TjEByTSgXBTbdO3YymHQ+firJ0+eunbUPuI9khQxmGKomTUP8vdLyF/+1PYuAVyezRrepZIFX4/+N3fkDa1DePyazGCfsQI019FFWZRk1E8wyj1+PWZlDRwq+TzHwtha/iKmmnVGmEY7o2kTlK4FQqFQjFxUAK6jpG5VtUVcvz4cQKBAG1tbTUaUWlKCehS0WegYgMxr0Gr1zpj2DK7fRWMTsp1PdRBK+MwRTGklRoKccpTx5H3fRPmLULc/sH89MkCadUiGBoSXJoG+Ea51dB5xmhkowshhlOVC7xgRQsgY7FwMRYGYpn4gyp1WKFQKBQVo2badcxIBLSUkvb2dubMmeO5N/NIKOXAXahtVZqU5U7oI30Ougm+oIfJTCXp2x1R/LpgyZRA1uOjEUyph5Lj4PnSx1hROYM9lGWkH/mdL4M/gPjTTyAKmXgVaRlFqMFdvRJaZbXLirKk2/nUnGImbZVGXnOduGuNbqCNtRu2WgRSKBQKRRXUwZRfMRp0dnYSj8fHLH27mGgr1rYKwHYklhyOQIc9GohVEgjZ3RFjRVsQMyc9cjSixeMdgTY1gV9FnxUFkFJCMom0LeS9X4O+bsSf3oVobs3fWDeKpkkLTYNwI/j9aqFmFBCjEYU2zcLh7UrT50d7hdAwxyx9O406hxUKhUJRDWq2XceMJAJ9/PhxhBDMmTOnhiMqTrEod6G2VWlSg+nbji2JD0hCXtO3PZ61nZEUZwZSrMmpfx6teuXxrjsO+SZnbaiiBiSTgET+4kdw6FXEOz+ImL+k8LZl2koJXUcERt/V/3xkNNy4gQLfqahCQI/y9cU0Ecq7QaFQKBQTACWg65SR1j+fOHGCadOmEQgEym9cA4oJaMcu/j6Stpu+He13U7y91D8LITxPsvZ0xID8+mdjlOZo4+nEHTA0DDX5VBQjlUBuexy2PQZXvQmx+bLi26rU7HFj1KptcgW0oVccfXXd0kfr4uma1qmAsEKhUCgmAkpA1ykjEdCxWIzOzs4xS9+Gwqlw0ile+2w7EnvwyWgFBmKVlMjt6YjSGtSZ1ZgdaRmtKI8QYlzSuDUhCKq2VYoiSMdGdnUgH7oPlq9BvPn24hvrZkVtpRS1ZbQuH0LP6QltVLlIMlpp3IPRcCWgFQqFQjERULPuSciJEycAmDdv3pi8nqZpGAUMaewSPU1TGZHpSJ+D6SvuW5T1Wh7n9o6U7D0bY830UJ64H81I7XikcYdMDU3NPBXFSCaQj/wcHBvx9ve7dczFUNHnccXNsBmlg2deYM0qWzeN1uKKEtAKhUKhmEAoAV2njCQCfeLECYLBIFOmTKnhiIpTSDyDG4Euhu1kC+iQBwMxIYTntMMj3QmiKYe10/NrNUczSjzWTtyGMg5TlEEeOwwv/BEuvRbRNr30xmXqnxWjz6jVQad7Qmt69VkGoyGgdX2onZYS0AqFQqGYCKiZd51SrYB2HIf29nbmzp07Jg6jQgjMIn1GnRIR6LT7tm1J4hFZ8/Tt3WeiCGDVtHwDsdHUm2Odwh0yVbqtojjSSiEfvt9tWXXdraU3NszS0WnFmDBa+nmoJ3SxvtBeGI0VwoB7jRZCuWIrFAqFYmKgZkuTjI6ODpLJ5JilbxuGUXDS45Sof5ZS4qTrn/tdle3FgdurgI6lHB4/0seKtgCN/uydTM17FLsaxjKF229oee25FIpM5J6XYd8OxDU3I8KNpTf2UkOhGHVGdQ3D9FXe/zkTLxfhQMj7mzB9CJW+rVAoFIoJhhLQdUq1EegTJ04ghGD27Nk1HlFhiqVvl4w+ZzwX6R00EGsufSqKCoTv7w720JewuW3N1LznRltwjpWe1YQgpIzDFCVwbBv58x9Acytccb0rfvRi4kmMLDKpqBnutW6Ujm2aQ4K1qv31ck7cwq2jD3ppcyYgo0uEEtAKhUKhmCioGXidUq2APn78ODNmzMA3BmZAuq6jF+kN6pSqf854b9E+iS8gMH2lZ09eW5D2xC1+d6CHC+eEWTIlv4WXOcoR4rFy4g4q4zBFOZ5/Ek4cQdz4Drdvc0MTorEZwk2g54goU6Vv1xN1/dMulcbtM12vCsMEf5kWiv5AVi22St9WKBQKxURBzZgmEQMDA3R3d49Z+nax2mcAxy6+n5NnIFZm4iQEmsfQ7i/3dWM5kttW50efdSHGJMV6tF9D1wQBZRymKIFMpdzo88y5cPGVEG4cEsjCNBGNTdDQNGwapszD6opRMxKrBaXSuDPPI3+g+LaaDv7skgGlnxUKhUIxUVCz8Dqlmgh0un3VWPR/FkJUFX2GYQduKyVJxMobiHmNPp/sS/LU631cvaiZGQ354t4Yo/zq0XbiDqvUbUUZ5BO/gnNnEbfegWhsLhhdFobp1kU3tigBXWfUdTJACVGcmR4uhBhM5S5w3Q0E8yLOSkArFAqFYqJQz7dpRYWcOHGChoYGWlpaRv21TNMsmnJXqv4ZwBr8b6RvsP65jID2ah72k71d+HTBrStbCz4/2unbaUYzhduva5hj3StLMaGQ0QjyVw/CsjWw+bKyqdlC11X6bJ0xar2ga0Gx60+BjCRhGHmRZkwTUWjben7PCoVCoVBkoG5ZdUqlEWjbtjl58uSYtK8SQhQ1DwNw7DL9n9MO3H3lHbi9moft74zx8qkob17eSpO/sOIeK8fq0apNFkIQVNFnRRnkb38CkX7Euz6E5jV9Q1FXuD3vx3sURSi2olnEd0MEghnmdWKobVXednX7hhUKhUKhyEbNxuuUSgX0mTNnsCxrTNK3dV1HKxHVKu3AnV3/7A8KDLP4xMnL/F9KyQO7u2gJ6Fy/pLngNqYmxsx0a7TKkwPG2NRw1zPVmuudL8hkAvnoL+HiK9EWLh3v4ShGQL3WQRd04jaMLEOwPNKp3H5/we2UdlYoFArFRGIEDSEV9UR7ezuapjFr1qxRf62S5mFl6p+dHAfuhpYSatOjediLJyMc7k7wwY3T8BdRr2NV/wxuJKXWYl3XBMHz3DhMplIQ6UPqhhvRMgwwlHt0FkcPQCqJdvFV4z0SxQgRGlDCjHFc0TWwMwZXpoe40HVkMFS0VZoS0AqFQqGYSCgBXadUGmlrb29n+vTpJcVtLdA0rah5GJR234bhHtCphCQZlyUduL1Eny1H8uM955jTaPKGBY1FtzPHWGTVWrCHTE2lOKYS7n9ty/1Luv+Uml7cdcnnR/hKT+4nE/LAXvd/lq4c34EoRkxdrwtpeoaA9tZDXJRorSjqNNquUCgUCkUh6vkWrfBILBbj3LlzzJkzZ9Rfq5xAL+vAPbgw4MVAzIt52JNH+uiIpLh97dSiUV8hxJjVP6epZaq1T9fwnefGYVJKSKUKP+nYYKUK/8WiyHKudpMIeXAvzJ7numsrJjT1msINZKt7X3FDSa+c72uDCoVCoZhYnN+z8jqmkgj0yZMnAcZEQJcyD4PS9c+OlEPvKy2gQ42FT0HNg3mY7Uh+faCb5VMDrJsRKrrdWLlvZ2LUKHwkhCCkjMNcMSyrEMLSgXis9uOpQ6Rjw6FXEUvXjPdQFDWibqPQmelBNWiBpgS0QqFQKCYS9Xp7VlRAe3s7fr+fqVOnjurraFrpNOJS7tsw3P8ZXAfuQFigG4WPp3koLthxOkp3zOb6pc0lxzXW0WeoXQRaGYcNkkyOYN840h6dYlKZStVPhPvkMYhFYdmq8R6JokbUbRQ6nR6U0/u5WpSAVigUCsVEQgnoOkRmRGq9bNve3s7s2bNHvUa2lPM2lO//bA8+L6Uk0ucUTd8WQniaOD5+pJfWgM6GmeGS241PBNpb+61SCCEInOfGYZBO3x6BgAaIRWozmFziMWSdRLjT9c9i6epxHomiVtRrb+QhJ+4aeW4oAa1QKBSKiUSd3p4VXunu7iYWi41J+nZ5Ae0tAp1KSKwkhJuLpG97qH0+M5BiT0eMKxc2lYzQ6mL8IrgjDXz7xrD1Vl2TSgIjbF9lpZDJRE2Gk0ZaFtgpZDxWF1FouX8PtEyBqdPHeyiKGlG3KdzgOnGXMAbzihCqB7RCoVAoJhb1fHs+b6mk/rm9vR0Ym/rnUu7bUsqyEWhr8H0N9JQ2EPNmHtaLJuDKhU0ltxvL9lW5jFS4F2vJdd4x0uhzmni0tn2kE/HB/5EZ/z+OHNwHS1YpMTKJEELUb3TWLNzTuVLqNk1doVAoFIoiqBl6HVKpgVhLSwvhcOk05lpQKgJdzt9JSjnUA3qgx0HTINiYP3HyYh6Wsh2ePtbPxllhWoOli6V94yigjRFMDA1t7J3D65GS7tuV4tTOUEw69nBbLYBEfFyj0LLrLPR0IZYpA7HJRt2mcftr0x6uBhpcoVAoFIoxpU5vzQovWJbF6dOnxyx9u6SBWLnoc8bzAz0O4RatYOTBy2TxhfYIA0mHqxeVjj7DyETsSBmJ/lXR50Fqkb6dSaJGhmLx3Ijz+Eah5f7dAIhlqv55sjHZI7R1naauUCgUCkUB1K2rDvEagT5z5gy2bTN79uxRHlH5+me7jAN3OvpsW5Jov6ShpYiBmIcz8vEjvcwIm6yaFiy5nTnONcTVpnALIfCr6LNLrdK3h5AQj47sCI4DheqpE3E3Ml1qX8tC1vw9DQpofxDmLqj5sRXjy2QWmEJT9c8KhUKhmHhM4lvz5Ke9vR1N05g5c+aov1YpAW2lJOU0f9pAbKDXDUUXFdBl5lLHehMcOpfg6kVNZcXxeNY/A2hCoFcxOfTrI3fwngxIx6ld+nYmqSRyJMdNJigcFZcFItMZz1oWRPohGql9uvehV2Hx8prUpCrqi8l8KVAt+hQKhUIxEVECug7xGoFub29nxowZmDVqJVKKYgLacSSWVX68QwJ60ECsoYADt2uYU3pC9cThPkxN8IYFjWVf06yD0E016ZcqfXuQVIqapm9nHbs6R24pJSRLpGonEwWj0NJKueJZOu5fDdtqOQP9cPqEal81SRFC1G0d9EhR6z0KhUKhmIhM0tvyxMaLgI5Go3R3d49J/TMUduCWUpJKehM41uB/B3ocQo0C3ai8/jmWcth2vJ+L5zbQ4Cs98xJCUA86tNIxmJoY17rtuqJKkesJyyq/TSGSyayCfxmL5kSz86PQ0krBQH+2014qiUzU6P0d2ANSwnJlIDZZmax10JP1fSkUCoViclMHEkNRDSdPngTGpn1VMQMxL6nbMBh9lhLHkUR6nKrTt7cd7ydhS2/mYXXSW7TSFG4VfXaRjgPWKKRvp3Hs6tKoE8Mu3tJxkF/8X0Qe/Hb2NhlR6CHxXCiSHouUrZn2gty/GzQdsWjFiI+lqE8mo85U0WeFQqFQTFTUbL0O8RKBbm9vJxAIMGXKlFEfT6H0bduWeDUztgbTt2P9bq/ohtbCM6dSEWgpJY8f6WN+s4/FreXbp4x3/XOaSmr8NCHGte1WXTEKRlt5VCjQZSoJmYL36AHo7iL58vM5v1kJ8ZgbmS4mntPbRWqQyn3oVZi3sGZthRT1Rx1Uo9QcFX1WKBQKxURlEt6WJz9SSk6ePMns2bPHJMqaK6Cl4z11G4YduPtL1D9D6Qj0ga447X1JrlnU7Ok910satF5BJNxvKPOwIZJjIaArTOPOaVMld24HwDl3Fs6ezt42mXRrnsvVcNsp5Ah6UzuxGBw/DEtWVX0MRf0jNDHpzMR0NftQKBQKxQTFGO8BAGzdupVdu3Yxa9YsDh48yLXXXsuGDRuKbr9nzx7uu+8+jh07RkNDA5dddhm33347Pp9v7AY9ipSLQJ87d45YLDZm9c+5AjqVqszYyR7MlB3osfEHBb5AgfrnwdnhiycHOBfLFzYvn4wQNDS2zGvw9Jr1IqCFEOgCPPis4VczSgA3rdkexfTtNLZ3AS0tKytiLR0Hdm2HuQvhxFHYvwemz8rcw/s44jGk6UMU8Bkoy5FXwbJU/+fzACHwVDIzERDCXRRQKBQKhWIiMu4C+rHHHuPBBx/ki1/8IoFAgK6uLj75yU/yqU99ipUrV+Ztf/DgQR588EFuvPFGHMfhySef5Be/+AX9/f187GMfG4d3UHvKCeixrH+GbAMxKyWptHTUlhIpJQM9Ds1Ti6dvP3qolx/t6ip6nDcta/FUI6yPc//nXHQhsMoIKlPX6qqlS7oGWfjGNi1YSgmRgbF5MdtCOg7CS35sbkr5sUPQ14O45d2IR3+Js3834vLrqhyIhOgAsqGp8gyEA/vc/y5TBmKTHU0TOM7kUNAqfVuhUCgUE5lxFdCxWIx7772X66+/nkAgAMDUqVPZuHEj99xzD5///Ofz9nniiSf4u7/7u6HtL7/8cv72b/+WJ598kj//8z/HMMZ9TWDUaW9vp7W1lVAoNOqvlWkgJqW3llWZOFLiSEkiKrGSxfs/7z0b5b5dXWycFeaDG6dBzvxKACHTW4S2XqLPaXRNQJl68UABV/JxxbYgFnUjo2O5GBGNVBQZHjG2BZqHzJUcAS13bgfdgFXr8Z06RvyZx5CWhaj2+mNbEI9B0PtvWjoO8vCrMG0mWnNrda+rmDBMpjpoZSCmUCgUionMuN6Sd+zYQSQSYfny5VmPL1u2jKNHj3Ls2LG8fbZs2TIknsEVeOvWrcO2beLxEv1ZJxClItCWZXHmzBlmz549JmPJTN+uxrQ4r/9zAQF9JpLiv17qYE6Tjw9fOJ0Gv06DL/sv7NM9CzmzzgR0uaC5rgl89Za+bVlu26UR1OdWiozHRrd1VSE81EFLy8oyD5NSuunbK9YiAkHMNRshmYDXD45sLImY69rtEZmIu0Zmi/MzdRSTj8nUC3oyLQYoFAqF4vxjXMO1R44cAaCtrS3r8WnTpgFw6NAh5s+fn/Xc2rVr846TTCaZM2cODQ3e6mMnMqdPn8a27XGpf5ZVCWj3vwM9DoYJgXC2uI2lHL7+4hk0AZ/YMpNADdo41VsEulw6eS3ec81JC8tEHOnzV1efWwEylYR4tPL9bBu2PYY89GplOwbDiLfdidDN8ttaOenbx49AzznEje8AwFy5DjQNuX8PYskIxWw0gmwsb5QnbdtNI49GEEuVgD4fEEIghLfWgfWM0OqjxaBCoVAoFNUyrgK6v78fICuinPnv3t5eT8fZvXs373jHO4o+/+ijj/Loo48CcPfdd+cJ9rHCMAxPr93f3180Cv3EE08QCARYtWoVpulh8j9CQqHQUFp8PGZXXIPXH7fw2w7RvjO0TAvQ2jrcdstxJN/44yHORlP8w00rWDGrfH/ncmhCMDU8/mZyud+1EUkOuZFnognBlJBZVxNKKSWONjxWYfjQmppH7/VsC6e3B/yVtWRLHdjHwPf/E/vEUbQZsxFefw+Og33yJcKrLiBw1Q1orVNLfv5ObzcyFBz6d+QPvySmG7S+4Rq0cAOGbmAsWQmHX6WlBm3lhD+IFi6+GCgdB6evh3hHOwNA68WXY47TNe18w+s1fLRIJuyKy2jqDdPUMH11uGiYw3h/14qxQ33XCoWiUsZVQKeFWe7kNf1vL/XM27ZtY968eVx55ZVFt7nuuuu47rphg5/Ozs5qhjti2traPL32wEBhE6XOzk4OHz7M5s2bhxYfRptEIoEQAikliXjlE7e+uEU84RAdsJkyS9DT0z303E9fPcfLJ/u4c10bc/wW586dG/F4fbqGjI1/gV3ud92XsEnZ+SH8oFkf481EplIQ6ct+MBJBmLVfmJCOAwN92f2Vy+0T6Uf+6kF44Y/Q3Ip4/13ItZtK90HL3F9K+MJnGPjDQ0TWbkYkrKLiWzo29PVk7SuffxqWraInkYTEOaZMmYK9aAXy9z+n6/jriHCj5/dSlHBT8TEN9IGVwtn9CjQ00e0Po43TNe18w+s1fLSwLIlVYReEesPnFxPCRGy8v2vF2DHa3/VYldwpFIqxY1yXgVtaWgDyapfT/55SJprT0dHBH//4Rz7xiU+MyvjGg1L1z6+88go+n49Vq8am52umgVg19c/gemcVqn9+rn2AR470cuX8Rq5eNPLIc5p6S99OoxcYlhCiPtO3C7WQikXKusNXRXTAs3iWjoN87knk5z8FL26Fq29C/M2/ItZtriiCL4RAXHottB9zeyiXapmV24+6/XU4dxax7sLsx1escXsMHdjreRwliQ24iws5yGhkuJ3W0QOwaDnaKKfXK+qHyVA7PBHEs0KhUCgUpRjX2/HixYsB6OrKbl2UXglcuHBh0X37+vq47777uOuuuyZN/2coLqC7uro4duwYa9asGbP3WxMDMSkZ6HYQGoSa3ON1RlPcu7uT5VMCvHvVVGo5n6pXAV1oXD69vtptDZEqYKzlOJCoraGYjEWzeiuX3Na2kN/+/5A//g7MnIv4f/4R7eZ3IfyBsvsWZNOl4PMjtz5e+P2mSWWPT+7a7qqYNZvcB9I11HMXQTCE3L+n9Pt44jc4X/5n5OHXSo/PcSCWXRMuE3FIuouL8uQxV8gvXlH6OIpJxUQXn8p9W6FQKBSTgXEV0OvWraOxsZEDBw5kPX7gwAGWLFlSNO0lEonwve99jw9+8INZrZwKuXZPFnbs2IFpmqxevXrMXjNLQNuVRx+tIQdum3CTNjT529URxXIk71vbhq4JRI0mhUKIso7X40WhHs/BOhyslLJ4G6l43E1prsXrWKmKBLl86H54dRfiLXcgPva3iJkjM9ETgaAronc8j+zvKbhwJR0nKzotpYSdL8CSVYh0jbJpgqa7vaSXrYb9u4sugsnuLuTvfgonjiK/fjfOfd9007GLkUogk64rubRSQ4JaRgaQ3/0KNDbDxVdU+QkoJioTOQo90RcAFAqFQqGAcRbQuq5z22238dRTT5EcTJXs7u5m+/btvPOd7wTgW9/6Fp/+9KexBl2B4/E4//Ef/8GyZcvYs2cPzz77LM8++yyPPPIIf/jDH8btvdSKQpPv7u5ujh49ypo1a/D7/WM2lrSAlrI651dHSmxbEu2XNLQOn2p7O2NMDxlMC5s1E88Ahqhfd9fcFG6frhUU1eOObQHFvmyZFxWtBiml2+/Z6/bPPQnPPApX3oi44oaafcfi0mvcCPgLTxdeNMjp/cypE9DZgbggI33bMBH6oJfD8rXQ2w0dpwq/j9/9zN3uv/+/cO0t8MpzyM9/Crn1sYLp2oDbi9tKQWQAkG4k/t6vQl834gOfQLROq/RtKyY4E1mE1lu3PoVCoVAoqmFcTcQA3vzmN2MYBt/4xjeYP38+hw4d4q677mLz5s2A68Td29uLbdtomsbnPvc59uzZw549+amSn/nMZ8Z6+DWnkIB+5ZVXMAyDNWvWjOlY0gK66vpnByK9DlJC42D9s+VI9p+Ls2WOG8Grpd41ChUa1wlCCHRNDPXFrsvaZyifUp1KIlPJkRmKxaLe654P70f+7F5Yvhbx5turf80CiNnzkQuWIJ99HK5/K8LIMe3KEdBy13b3hF07mL4tNIRhgDGYl7ps8Pe5fzfMyM6ekSePwUtb4ao3IabPQtx0G3LzZcif3eu+vxf+CO94P2LeouwxyEGTtfQ/H7oPDr2KePefI+YvAVX/fN4xUftBC0FNF0wVCoVCoRgvxl1AA9xwww3ccMMNBZ/75Cc/mfXvz372s2MxpLqhp6eHI0eOcMEFF4xp9FkIMSygq8zataUcMhALN7vHOtwdJ2FLVre5bYFqORms1/rnNIYQ2EhMTWDWq9i3StQDp4lGkI2Gm7ZcITKVGqrjLbttdyfye1+BKdMQ7/2LUelFLS69FnnfN2HfDth82fBrO07+Z7FzOyxegWgYNL1LdxFIR6CntCGnzXT7QV+RfT2Tv3oQgiHEtbcMv/b0WfCRv3Ej0Q/dh/zyPyO3XIO46TZEMEQu8tkn4Jk/uJH4C98AmlbVd6CY2EzUr3yijluhUCgUilzULa3OyI1A79ixY1yiz3qGWKm09zMM9hIeFNDBBoFhuoJxb1cMTcDyKa6AruWkqt4FdPq9+us1+gzeBLTMN7jygnQciBVu0Za3bTKB/PaXwLYQH/irgoKyJlxwEYQakM88mv24lSIzlV2eaYeOk9nu2+mItZ6xDrl8DRx61U27Tu+7fw/s3414461570MIgdi4BfE3/wpveCM8+7ib1v3i1qxrgTz8GvJn34cV6xA3vyv/dRXnDUKImmbujBUq+qxQKBSKyUIdz+QVvb29HD58mJUrVxIMBsf0tYfqn53q6p9t6e470ONkta/a1xljcYufoOk+Vqt6Vl2rU0frDAxNoAtRtwJaWqXqn3PIMLjyTCzqqR5AOg7yvv8Lp08g7vyYG6kdJYRpwkWXw56XcDo7hp/IrX/emZO+DUMCWuj6UCqFWL7W3ffoweH38qsHoLUNLru2+DiCIbS33on468/ClDbkfd9E/ufnkGfahyPxU6e5n4emAQKqdSBXTHgmYhq3ikArFAqFYrKgbml1RmbUaefOnWiaxrp168Z8HCOvf5bEBiSOPdz/eSBpc6w3mZG+XUMDsQkQ3dCFIGDW8U/OY0upIWJRz67cMpmAlEfB/YeHYNd2xM3vQqy8oLIxeSWj3llsudo90f/4O2DwN5jRvkraNnLHC7BwKaK5dXAnLTulPP3/i1eApiP373b//fKzcPIY4qZ35NdYF0DMWYD4+N8j3vkBOHUC+YXPIr/6r2Db2ZH4YNjT8RSTk4loJDYRx6xQKBQKRSHqeDZ/fpIW0H19fRw8eHBcos+QKaCrCD/jOnD3nnPFVeOgA/erXTEksKrt/EvfBjdK7q/X2mco3r6qGNLx5KYtHdtzyrfctR35yM/deuQrb6xsPF7RTbeOOdzkCuG2GbB8DfKZR5G2nZW+LY8cQP6ff4Qz7YgLLx8+Rq54TddBB4KwcCns34NMpZC//SnMWQDrL/E8PKFpiEuuQvzPf3U/h2gEcedfDEfifQHEGPohKOqPsYjmCgG6LmoS7VbRZ4VCoVBMJtRtrU7Zv38/wLhFn2vhwN19xibUJPAF3GPt7YwRMjQWNLuT/1pmXJsTQEBD/bbZArzVP+ftk0ImipuCyVQSBvpdsV0GefIY8kffhPmLEbd9YPQ+q8EorjBNaGxyBfWl17otqHa+4DqNR/pxHrgH+bV/hegA4v13wUUZPZdzBbQ2HI0Wy9dA++vIR34GPV2IW95VldmXaGhCe9efIf7fryNWrht6XREKV3wsxeRiNH4aQgPDEJg+gT8g8Ac0TJ+oSbs9FX1WKBQKxWRCudDUGekI9MDAAA0NDYRCo2SeVAQhBIGAW1tZbf0zQDRqE+2TzFnmnmJSSvZ1xljZFhiqVa5VHZ8majPJO5+RluVJ5BYkFkUaZlZKs0ylIB71HNWWA33I73zJdar+00+44nY08Pnd1lODCE2Hxibkhi3w8+/jPPYwouMU8tcPQDwOV9+EuO4tiNx6YyPn0pmZzr18Dfz2p/DEb2DlOsTS1SMa8pD41nQINYzoWIrJgRACocmiP1nTJ7BS3q/fQoDfX/iCXIvo8USs2VYoFAqFohhKQNcp0Wh0zMUzgM/nG4o+21XqKSklXWdc4dQ63RUWpyMpuuM2bx5M30aImhqIKUZIpenbWUg3lbuxaVA4x8D2Xk8tLQt579egvw/xl3+HaGoZwVhKIDQIFP5NaQ2NOFfcgHz4fuSrO912VW9/H2LmnAIba/kttXQdEICEOQshFIZYtHa9q4UG4UbVtkoxhJbRVz4TwxDoukA6YFneFLRWorREpXArFAqFQpGNEtB1RjoCHY1GmTJlypi+tmEYmBmRv2rrny0Hus84hBoFgdBw+jbAqqmDBmI11Lx1amo9sagmfTsTO4Xs66m4abiUEvnz78Ph1xDv+Qhi3uKRjaMUgWBJASquuRl59CBizUbYfFnxBZ4C5l1CCKSuu223NA2uuRmsFGLWvNqMPdQwKn2wFRMXTUDur03TGWoZqOmAx591qVPLbZtVfTaSEHVeuqJQKBQKRYUoAV1npAV0LBYb0wi0pmn4c4yJKtRCQ8SiNpFehzlLh0+vfZ0xZoRN2kLm4OtVPdQ8Jkr9c11TQcS4KNWcMNseh+eehGvejNh46cjHUAzdyE/DzkE0taD/9WeRkf78NlZZxyqSXj4ooAHE1TdVOdCsEbmp4j7/6KW0KyYsuddQIcA0RcbzpdO8M/crV6OsaQLbrk5Bq/RthUKhUEw2lICuQ1KpFKlUaszct4UQ+P3+rChBtdFngI5T2enbKVuy/1ycy+Y2Zrxo1YfPYyI4cNcz0rard4sbyese3If8xQ9g1XrEm24b3RcLVrAY5Q+WFtBmkcumbgAV9sbOxHVxciPcupFVq61Q5CK07Miwz5dfFqPrAqvMtVw3yl8/NQ3sKhdUlYGYQqFQKCYbaoZWZ0gpicXcdOexikCbpomek8M3Ej3VecYi2CAIhN3Qw+GeOElbsnrq8IJArTL6DK12tdTnLSNN364QKSW8tA35ix9C20zEez46urW9pr+insnCMJCmv3Dfak13jccKUWmKtaa7glk3wTBUiraiYoQAKQfFcwGhquvl27t7Oe1GEkVW+lmhUCgUkw0loOuQaNTtmTsWAtowDHw+X97jTpXpeom4Q3+3w+zFw6fW3s4YmoDlU4dTaGulec167qs8UahF+rZH5Jl25E/vhcOvwbzFiDs/6vZOHjUEVJPJEQgWFtClosLFhHUuoQa3HZVyVlKMEE0TaHpxEzAhBJoui1ZXaJq3+mQ3iqxSuBUKhUKhACWg6wopJVLKMRPQheqe01QbgT5zyhVjrTOGxcS+zhhLWgIEMty+ahU1VunbNaBciKoGyGQC+egv4cnfgT+AuO1P4eIraycii4lXf6B4xLgEQteRPj8kc0R0iUi20DSkppX+8Rgmwlf4N6dQVIpulL+W6roouiDqJX07TblTuxDCo0BXKBQKhWIioQR0HZJO4R7tGmjDMPImN7YlPbc+KcSZkxaBsCDY4Aqj/oTNsb4kb1nWOrRNLSdU56uAlvFYYdMuTUMUadVU8DiWNer1z3L3S266dk8XXHQ54s23IxqaavcCph8RHoX+yIEgJJNkRd7KpYLrBjgl6qeVeFbUEC/XUl0XWEVctPUKMng0TVTsjaEp8axQKBSKSYgS0HVEZgurUtHhWiCEyGpZZVkS26q+VQlAMuHQ02Uza9HwafVql7sYsLoto/65RkFHQxPn5QRNppIQjxZ/XugID+eOlBKiA7UcWv5rHNmP/O6XYeYcxF9+CrFoeW1fQNMqMwirAKGlo9DxwdfSy0fMdR2KBvQFmPnlEgrFaKPrIm9htJLoM1R33VZVCgqFQqGYjCgBXUdkCuhgMDiqqW/GYC1nLYRzmiH37Yz07b2dMcKmxvzmYeFQSwOx8w3pOBCNlN4oFkGaRvnU5WJR7BoiX34WTB/iE58ZndTlYMPo1hIHAoNp3LJ89BkGnbiL4POpdFbFuFCoJ3TFnndKQCsUCoVCAYC6vdUho90DWgiBYRikkhIrVRvxDG79cyAkCDa4IkFKyd7OGCunBrMixUpAj4BYhLKNXZEQKS2ypZWCRKx24yr0Go4Du15021SNhngeg/7IQtMh3T/ay2uVUiUqfVsxTrg9oYf/7aX3cy5CiIqv3YWcwRUKhUKhmOgoAV1HZEagR1NA67qObYmalr4mkw7dnTatM/ShKNupgRS9CTsrfRuoWQ/o882BWyYTpfsTZ2Kn3DrpQscZg9RtAI4egIE+xLrNtT+2pkEwXPvjFsIfcPNXS0WXBxGaXjjXVdMraqWlUNSazHrnStO301QSUVbRZ4VCoVBMVtQtrg5Jp3CPHkbNfaPOnraQElqmD0fgXjwdQUCegK5FBFo/z+qfpWNDrHjdc0HiMaRdIEU7Fhl14zAAuXO7m/a88oLaHzzUMGbp0ELTIBT2nipeKHW+QKs4hWIsyUyOqLbleCUR5Uoj3AqFQqFQTBSUgK4jpJRYlkUymRy1CLTjCJC1/9rPnLQIBAWhRnfSZDuSp4/3s3pakNZgRuROiJoIn/MufTvqJXU7FzfSLDNy9GUqmd+aaRRw07e3w4p1lfd5DjdCQ1Nxwy1/cMyjuaIS869C6kSlbyvGGbcntPfez4WoJKqs+j8rFAqFYrKibnF1hJRyqIXVaAhoK+Wga7WPhKWSknNnLdpmDrfF2tkRpTdhc9W87HZFtQoamueRgJaJePW9mm1rqNbZkwFZrTh2CPp6EBdcWNl+gSDC9CEMExFuhMYWMDPEp2647aXqmdxUb8Osqhe1QlFrdF1Unb4NlUWVVQq3QqFQKCYryoW7zhitHtCuWZiOXm3uXgnOnEohZbb79pPH+pgS0Fk7vfbp23D+RKClXUXqdi7xGNIwIZGoIopdHXLndldIrlrvfSfTl9fDWug6hBuQThDicdc4rN5T93N/Y6aKPivqg0r6PhdD08pXgAhRfZRboVAoFIp6RwnoOkJKSTTqiqVaRqAdW2LbEr+/9mmvkX6bA3viNDZrBBsFDnAmkuLVrjhvWdaaV6dck/pnIdAnkYCWjjMokgvYodt24ccrJTIwduJZSjd9e/kahNcezboBoYaiTwtNh9AYmYaNFF3HdcqT7n9V/bNiEiE0AU7pa5KKPisUCoViMqNuc3XGqAhoRyKENtT7uVakkpJXno8hNMH6i0I4g+r4j8f60AS8YV6+IKqFgJ500edYFFKDDtu5f7Xq0zxG4hmA40eg55z39G2hQXjsTMFGGyHEcBRa9X5WTDK8iGPVvkqhUCgUkxkloOuIdARaCEEgEKjZcR0HTLO24tlxJLtejBKLOqy/KIgvIEBKkrbD1vYBNs4I0+zPf81aaInJ1L5KppKueJ5EyJ3bXSfq1Rs9bC1c8TzZaoTTAlqlbysmGV4EtIpAKxQKhWIyo1K464i0iVgwGKxZ1Mp1YBYYNXYtPrA3QddZm1XrA7RONUjaboTzxVMRoimHK+c3FtyvFpGJyRKBHlNTrzFiKH172WpEOuU6GHZTtG0LLAvs1HARZTA8OfsjD9odC3MSvjfFeY0QAiEkskQWt2phpVAoFIrJjBLQdUY0Gq1p+raUoOtGTdNITx5LcuxwknmLfMxd4NZ32oM1cU8d62dm2GT5lAIR9BqMQZtM9c+xalpT1Tntr8O5s4g33jL8mK4jDAMMAwYDstKxwXYmr8DUDdW6SjFpERrIItUlKvqsUCgUismOutXVEekU7lo6cDsOaDWc0fScs9i7M86UNp3la4YFguPAsd4ER3oTXDG/saBgV/XPw8jEYM3zJEPu2u7OoNdkpG/ntnXCNQWbtOIZ3BRuJaAVk5Rcc8g0QoBhTo5rtEKhUCgUxVAR6DojFosxffr0mh3PcSSmURsBHY857HghRiAgWHdhcChNT0pJSkqeOt6PqQkunVPYTVnVP7tIx3ajz3WMTCbg7OnCTzY0IZpb8/eREna+AEtWuj2cwU1jPg9NtIQKwykmMYVOb00H0xTn5e9doVAoFOcXSkDXEbZtE4/HaxaBllIindr045RSsuvFGLYt2XxpGJ9veAaVtCXRpM3zJwe4aHaYkFnYEEpFoAeJRKhJa6pRRN77NXh1Z+EnNR15xQ2I69+C8Gek6p86AZ0diCvfNPxYgeizQqGY2IgcAW2YAsOYBNdmhUKhUCg8oGa3dUStW1hJ6YrnWqRwHz+aoueczZoNARqasgVywnJ49uQASVty1fymoscYqYDWhJjwAlrGY66JVh0jO8+44vniKxGr1uc/v/cVePI3yB3PwVveA2s3IYRw07eFgLWbhjfWJ5m7tkKhGDISAzB9QpmGKRQKheK8QgnoOiFd/ww1FNA1qn+ORRwO7o0zdbrOrHnZdasp28FyHJ461seCZh8LmovXfeZGLSplwotn24Z4bLyHURb57BNu6vUNbyuYqi3WbkJedAXyp99Dfu8rsPICeNudsHM7LF6BaGwe3niytadSKBSAG3XWtNpkOCkUCoVCMZFQhXp1RCzmiqtaCWjHkYgRqlYpJXt3xEDAqgvy22slLMnB7jinBlJcOa949BmyJ1pBU8OvVza2iSygpZQQHaDuU7dTKXjhaVizqaB4TiMWLUP8t39A3PoncGQ/8t//HjpOItZdmL2hSuFWKCYluq7qnRUKhUJxfqJmt3VCZgS6VjXQjgPGCA3E2o+lONdps+qCAMFQ9rFsRxK3bB7cd44GU+Oi2eHiB8qYaOmaGKqTDjoaccshYcvBntXFmcgCmkTM7YNc7+x8AaIDiEuvKbup0HW48kZYfzHylz+CQ/sgS0ALdxuFQqFQKBQKhWKSoAR0nVBrAe0M9mUeSQp3POZwYE+c1jadOQvyWw4lLIeHD3ZzrC/JRzdOx1ciopwZqAhmiHpdE4R9OkEpXSFtSZwCQloIQY3MxMccaaUmROo2gNz2GEybCUtXed5HNLci3veXSCmzI1JKPCsUCoVCoVAoJhlKQNcJaQEdCARqUrec1qDVpNjZjiti9+2I40hYvT4/dduRkj2dMX57qJfL5jSwcWaJ6DPDAlrXBP4CSlgTblQ6aMiiSc4TMV3QTd2u75ZVaeTJY/D6IcStf1LVZ523jxLQCoVCoVAoFIpJhhLQdUQsFquhgZis2oE7ZUvajyfp7LBYsdZPKJx/jN6Yzbd3dDA1aPCu1VPLHjOtrYJlwshCCCaeTC5BLAqOPd6j8ITc9jgYJlz4htocUBmIKRQKhUKhUCgmGRM0KXZyEo1Ga2ggVn36diRq8/qrSRpaNOYszE/dBvjurg7OxSw+uH4aAQ+51UIrHn2erMhUCpLx8R6GJ2Q8Bi9tgw2XIEINtTmoMhBTKBQKhUKhUEwyzh81U+ekU7hrUf8spRzsAV3512vZDof2JHAcWLDaJJJ08sy9/nisj23tA9y0pIUlrQG3P3OZlF8hykefJxPScSA2MN7D8M5L2yCZ8GQe5hmVwq1QKBQKhUKhmGScP4qmzrFtm3g8XpMIdFrvVhqBllKyb2ec3k6HectNgmENW0oGMkT0uViKb+/oYEGzj5uXtRIwNJr8Og1+HbPE65m6dn5Fn6MDbhrABEBK6ZqHzVkA8xbV5qBCQ9Sgll+hUCgUCoVCoagn1Ay3TojFYkgpa+TA7f63UgF96NUEp49bzFxkMH3ecPqt5ThEkw6OlHx1+xlSjuSjG2bQGjAImrpbtywEDX69oBO3EIKgef6cajKVRCYT4z0M7xw9AKfbEZdeUzujNhV9VigUCoVCoVBMQs4fVVPnpFtY1SICnW5hVYkYev1QgiMHkrTN0ZmzJL92Nek4/HRfF7vPRnnv2mksmRpEL9CXOezT8eeIaEMXJVtcTSak40wY1+00ctvjEAjCxi21O6iqf1YoFAqFQqFQTELOD1UzAailgJYOFTlwnzyeZP+eBG0zdRasMgsK76eO9fHgq+fYMqeBGxY3lzxeyKdnGYuFfOfRaRaLuF/ABEEO9MHO7bD5MoTPX7sDKwduhUKhUCgUCsUkRIWJ6oRIxI1ajlRAp6PPXsXz2dMp9r4SZ0qbzuJ1fpwCXZifPt7PD/d0sWFGiE9cNMtTZDto6ggEKds5b2qfZSIBqeTov46U0HESUqn8J3UdZszxXn/8wh/BthBbamgelh6HQqFQKBQKhUIxyVACuk5IC2gvNdCmaZIqJJ4YNhDz4sDd3WWxc3uMhiaNdRcFidgOufp564l+frC7k7XTgvzVRbMwCqRtFyNgavgMQRVm4BMO6dhu9Hm0X6fjFPJn34eDe4tvNG8x3PZ+xJwFxY9jWfDHR5C//yUsXoGYOae2A1UCWqFQKBQKhUIxCVECuk6IRqP4/X70MsLDNE0MwygqoL1EoPt6bI4dTnK6PUUwpLFpSwgpGFbfgzzb3s+9uzpZ1Rbko5tmEKrCCEwTglr5UtU1kQh5qw81RCYTyMcehid+A6YPccu7oW1G/oa93cjf/wL5f/4RedkbETe+HRHMzmqQh15F/uxeOHMS1mxEvP19tR2sptfOjEyhUCgUCoVCoagjlICuE6LRqKf0bdM00TQNTdNwCrRJkkUcuB1Hcva0xbHDSXrO2eg6zF3oY9EyHz6/xkDCztr++ZMDfHdnJyumBvjYpumEjOpF0WQXUzIeA7vwgkZNjr/3FeTPfwDdnbDpMsQt70I0lqhD37gF+dufwNY/IHe+ALe+GzZsgYE+5MMPwEtbobUN8cG/RqzeUPsBKwMxhUKhUCgUCsUkRc1064RoNFo2fdswjCFhrOt6noCWjsxI4XZFq5SS40dTvH4wQTwmCYYEy9f4mT3fh2kOb5PKiD6/eCrCt3ecZdmUAH+5eQY+XcPUqxTPkzx9W9o2xGMjO8ap43Bgb8EAtjzyGux5GabPRnzsbxFLVpY9ngiGEG9/H/LCy5E//R7yh/8Fz/zBjTinkvDGWxDX3lJb07BMVPq2QqFQKBQKhWKSogR0nRCNRpk1a1bJbXw+39D/F0rjzhTPaaF99rTFa7vitEzRWbHWx7SZRl5EOGnLoZ3jlsMP9nSysMU/JJ4RAl+VArqCkukJh5QSogNUm7ot4zHkIz+HZx4dbt6di+lDvPmdcMWNCKOyn6uYtwg+8Rl47knkb34Ccxch3v5exPTS59mIUQJaoVAoFAqFQjFJUQK6DpBSEovFSkagM6PP4Eagc9O4IwnXBCzocwWM40gO7E0QbtTYfFkIrYiatexhAfjMiX6iKYfbV04ZakVlCKHStwuRiIFtVbyblBJ2voD85Y+gvxcuuQpx3VvAH8jf2DArFs6ZCE2DS69xX8OrM/dIUQJaoVAoFAqFQjFJUQK6DojFYjiOU7IGOjP6nCYzjdtxHBIpB0dKLDSE4dBxPEU04rDh4mBR8SylJDkYfbYdyR+O9LK01c/i1mExV230GSZvO2BppapK3ZZnT7su2gf2wJwFiD/9BGL+4lEYYTZjJp6FhpisX7pCoVAoFAqF4rxHCeg6YGBgACjeAzo3+pz5eDqNO2mDM5zDTX/M4uBrCZqnaEydXlzQpJzh9O0XT0c4F7f5k9VtWdtUW/+saRQV7hMZN3W7spZVMpVEPvYrePzXYJqIt70XLr1m7ITtWKHEs0KhUCgUCoViEqMEdB0QjUaB4j2gTdMs+Liuu87YUkoSyeE0bCE0Th+1sJIwa6lJX9LBp0nMAmZgKcvdT0rJI4d7mRk2WTt9eByGEGhVpmHrxuQTzwDEouDY5bcbRO7b4bponzsLG7cgbvkTRFMJF+2JjErfVigUCoVCoVBMYpSArgNKRaANwyjZG9owDBKJBElruBbaTgnOHLVonaHT0Ky5AtuWJGwHbdAQzNQ1dMGQ+/a+rjgn+pO8f11blmA2jeoipEKAPoLU73pFplKQjHvbtrsL+csfwu6XYPosxEf/J2LpqlEe4TijWlgpFAqFQqFQKCYxarZbB0QibjpwIQFdLPqcRtd1EtZgWjGuadfJwxZSwpyl+V+vIyVxSxK3XDGd3u+Rwz00+3UumtWQ/fpVpmBPxuizdByIDZTfzraI/uanyF/8CABx0zvhyspdtCck+iRLSVcoFAqFQqFQKDI4D2b09U80GsU0TYwcgVUu+gyugE5mdLNKxASd7TbT5+sEQqXFTLpm+lhvgle74rx9RWtWircuBHq1AnoyZvLGosXbTQ0iD7+G/On3iJ45CWs2It7yHsSUtpL7TCpUBFqhUCgUCoVCMYlRs906IBKJVBV9BjfybMthkXvmqKthZi0qv2+a3x/pJaALrpzXlPW4r8poomFU3/aqXpGpJKQSxZ/v70X+6gF4cSu0ttH4ib8nMn/pGI6wDtD0Sfe9KxQKhUKhUCgUmSgBXQdEo9E8AW2aZtnoM0A8KdF0DSyI9EJfl5u6bfq8CZnOaIoXT0d448Jmgma2YK7WfXuyBSGl4xR13ZaOA88+gfztTyCZgDfegrj2FvwzZxE5d26MRzrOTMq0A4VCoVAoFAqFYphJJnUmJtFolLa24TRfIUTBvs+FiKUkmqYjJZw4DIYPps/3/rX+4WgfANcuyI4+a1Wmb+t6fUefpePAQB8gy247vBMg81O35fEjyJ9+D04chaWrEG9/H2L6rFoNdeKhBLRCoVAoFAqFYpKjBPQ4I6UkEokwf/78ocdM0/QkQm3HIZmyEULwwqsW4aiPPzq9/GrbOeY3+1jQ7GdBs585jT6MAmJ4IGnzzIl+Lp7dQGsw+1TwVRl9rnufrFikohZUhZDRCPK3P4VnH4eGJsR7PgobLqnrhYPRQ7hfumGAzz/eg1EoFAqFQqFQKEaVepc7k55kMolt20M9oDVN81T7DG76NsCuQ1GCXSZdZpJFs30c60vyypkoz5xwHaMNAW0hk+lhk+lhg+khkxlhkz1nYyRtyfWL8nsSm1XUP2s6iCpNx8YCmUhAKln9/lLCS9uQD98PkX54wxsRN7wdEcyvX5/UmD4wTNCN88NZXKFQKBQKhUKhGETNfseZ3BZWPp/PcyQznpKc6EzSf1gS1xwu2WzS0uSKYSklXTGL13uTHOtLcCaSoiOSYl9njJQznL68dlqQOY3Z6eKGEAUj1uUw6rh1lXRsiEer3/90O/Jn98Lh12D+YsSffxIxZ0ENRzhB0E1EuHG8R6FQKBQKhUKhUIwLdSOgt27dyq5du5g1axYHDx7k2muvZcOGDUW3P336ND/5yU+YN28eHR0dhMNh3vWud3ky3qonMgW0YRh5rayKYdkO5/qSHHglgQ+NVZv8NIaHo8ZCCNpCJm0hk82zwkOPO1LSE7fpiKTojFmsbgtmHVcTgrC/8s9QaKDVcfSZaASkg+zsgL0vg/ReAy27O2HbE+APIN75AbjoCoR2nvY7Pt+i7QqFQqFQKBQKRQZ1IaAfe+wxHnzwQb74xS8SCATo6urik5/8JJ/61KdYuXJl3vZdXV189rOf5cMf/jAXXnghAJ/73Of41re+xUc+8pGxHv6IyBTQXo3DAKIJm23PRmh2DMLLBbOmeNtXE4IpQYMpwQJfvRCETB2tilreuo4+J+LIWBQe/xXy8V+BZVV2ACHgwjcg3nw7oqGp/PaTFV9ApWwrFAqFQqFQKM5rxn02HIvFuPfee7n++usJBAIATJ06lY0bN3LPPffw+c9/Pm+fBx98EIDNmzcPPXbjjTfyb//2b9xwww0sXLhwTMZeC9ICuqmpCa2CqObDT/bSapkkZ9qsWdhQk7EEDa2q1lWGKdCrNB0bbaRtI19+Fvnz70NXh2v2ddM7IRQuv3MaXUeY3hc3JiVCg0Cw/HYKhUKhUCgUCsUkZtwF9I4dO4hEIixfvjzr8WXLlrF161aOHTuW5VDtOA7btm1j3bp1WbXCy5YtQ0rJU089NeEEtGEYhMPeBd3vnu+hsc+gJ5TiugtqExH1aRoBwxXwui4QGlip8mnOhinqNvosz3Xi/PDrsOMFmDYT8eH/gVi+ZryHNTEJhM7ftHWFQqFQKBQKhWKQcRfQR44cAcjqgwwwbdo0AA4dOpQloM+cOUMsFsvbPhwOEwwGOXTo0CiPuDr+679+hm3nO0Dbdi/g54f3Hfd8rAatiQEnwq37v41v/8haMgEIcE3DBhck0jrJBJz89sfD+w3uMvIRjBKv7QLHQbzpHXDVmxCGN3dzRQ66gfCrFlUKhUKhUCgUCsW4C+j+/n6AofTtNOl/9/b2eto+/Vju9gCPPvoojz76KAB33303s2fPHvnAK+Qf/uHjo3DUi0fhmIpaMWfmnPEegmKMGI9rimJ8UN/1+YP6rs8f1HetUCgqYdxzMtOu07mtm9L/znWlLrY9uD2UC7lYX3fdddx9993cfffdNRlztfzd3/3duL6+YuxQ3/X5g/quzx/Ud33+oL7r8wf1XSsUikoZdwHd0tICQDwez3o8/e8pU6Z42j79WO72CoVCoVAoFAqFQqFQ1IJxF9CLFy8G3NZUmXR2dgLkGYK1tLTQ2tqat30sFiMSiUwoAzGFQqFQKBQKhUKhUEwcxl1Ar1u3jsbGRg4cOJD1+IEDB1iyZEleXYqmaWzZsoWDBw/mbQ9w5ZVXju6AR8B111033kNQjBHquz5/UN/1+YP6rs8f1Hd9/qC+a4VCUSnjLqB1Xee2227jqaeeIpl0Xaq7u7vZvn0773znOwH41re+xac//WksywLg1ltvJRqN8vLLLw8d55FHHmHLli3MnTt37N+ER9RF+vxBfdfnD+q7Pn9Q3/X5g/quzx/Ud61QKCpFSCnLN/sdAx555BFee+015s+fz6FDh7j88su5+GLXZfoLX/gCR44c4T/+4z/wD7bTef311/nJT37CwoUL6enpwTAM7rjjDkxTtSpSKBQKhUKhUCgUCkXtqRsBrVAoFApFPWFZFocPH6arq4stW7YU7P6gUCgUCoXi/EIJ6DFg69at7Nq1i1mzZnHw4EGuvfZaNmzYMN7DUowAy7L4xS9+wZNPPkl3dzdz5szh9ttvZ/PmzUPb7Nq1i6eeeop58+Zx5MgRNm7cWNc1+gpvPPDAA5w9e5aPf3y4t7v6jU8uuru7efDBBzlz5gy33nora9asGcpuUr/ryYHjODz88MP09PQQCoVob29n1apV3HDDDVnbqd/2xKSnp4eHH36Y1tZWbr755qznvPyG1feuUChKIhWjyh/+8Af5sY99TMZiMSmllJ2dnfL973+/3Ldv3ziPTDESvv3tb8vvfve78tlnn5UPPfSQ/PM//3P5rne9S+7Zs0dKKeUrr7wi3//+98uuri4ppZSxWEx+5CMfkU8//fR4DlsxQg4cOCDvuOMO+ZWvfGXoMfUbn1wcPHhQfvjDH5Y//OEPpW3bWc+p3/Xk4f7775ef+9znhv6dSqXkXXfdJbdt2zb0mPptT0xeeukl+aUvfUnefvvt8v777896zstvWH3vCoWiHONuIjaZicVi3HvvvVxxxRUEAgEApk6dysaNG7nnnnvGeXSKajl37hw+n4/3v//9XHLJJdxyyy387d/+LVJKHn/8cRzH4Z577mHTpk1DfckDgQBXXnkl3/nOd0ilUuP8DhTVkEgk+O1vf8vSpUuHHlO/8clFZ2cn//Zv/8batWu544470LThW6T6XU8uXnjhBWbMmDH0b8MwWLx4MXv27AHUb3sis3HjRm6//fa8x738htX3rlAovKAE9CiyY8cOIpEIy5cvz3p82bJlHD16lGPHjo3TyBQjobe3l7e+9a1Zjy1dupSGhgYikQhHjhzh1KlTLFu2LGubZcuW0dvby86dO8dyuIoacf/993PbbbdliSr1G59c/PCHP2RgYIA777wz7zn1u55cNDU18eyzzzIwMACAlJLXX3+dxYsXA+q3PdHJvE6n8fIbVt+7QqHwghLQo8iRI0cAaGtry3p82rRpABw6dGjMx6QYOYsWLSIcDuc9nkqlWLFihfreJyEvv/wyM2fOZNasWVmPq+968hCNRtm2bRttbW384he/4LOf/Swf+MAHuPvuu+no6FDf9STj3e9+N319fXz2s5/l4MH/P3t3Hldj+v8P/HU6ldJKCxIJWYcRY8gSMXbCNGPPMtYxzeBjLJliMIx9mcUejWXsDcIgaxRDdmZkTRFRitTpnE7n+v3R79xfR4sTpdTr+Xj0oHt93/d1zt15n2u7jYCAADRr1gytW7cGwPd2caRPmbLciUgfTKALUHJyMgBIzYC0tL8/f/78vcdEBePmzZsoVaoU2rZtK5thvlQAAQAASURBVJW7qampzjback9KSnrf4dE7SE5OxunTp7MMLqRdB/A9Xhzcvn0bGRkZqFixIvr374/p06dj3rx5iImJwdy5c6X3Ld/XxUONGjXg5+eHpKQkTJkyBWlpafDy8pJGWud7u/jR528zy52I9MEEugAZGhoCQJapT7S/a9fTh++vv/7CyJEjYW5uLo3Wy3IvHv7880/06dMn23V8jxcfL168AAC0bdsWpUqVAgDY29uje/fuiImJkbZjWRcfcXFxaNy4MWrXro3Q0FD89NNPSEtLA8D3dnGkz99mljsR6YMJdAGytrYGAOkPspb2d+0gFvRhO3DgAOrVq4fGjRsDYLkXJ8ePH8dHH32UY5mxrIsPc3NzAFn7Tmr7xGqXs6yLh0OHDuHIkSMYMWIEfvzxR3zxxRe4fv06/vzzTwB8bxdH+pQpy52I9MGv0gqQ9oNXQkICnJycpOXx8fEAgCpVqhRGWJSPzp49C4VCgZ49e0rLnJ2dAfxfOWux3D88J06cwO3bt7FixQppmUqlQmRkJM6cOSOVO9/jHz4HBwcAWZtoli5dWudfvq+Lh507d6J79+7SFyO9evXCw4cPER4ejq+++op/v4uhvPxtZrkTUW6YQBegevXqwcLCArdu3ULDhg2l5bdu3UK1atWkD2z0Ybp8+TKio6PxxRdf6CxXq9VwcnLC7du3dZbfunUL1tbWqF+//vsMk97Bt99+C5VKpbPsl19+QdmyZTFgwACYmppi3759fI8XA/b29qhRowauXbuGtm3bSsufPXsGAKhduzbf18WIWq2GRqPRWVanTh38+++/APj3uziqWLHiG9/DQgiWOxG9EZtwFyC5XA4vLy+EhoZKH8ITExMRERGRJemiD8t///2HHTt2wNHREWfOnMGZM2dw+vRpBAYGIjExEV9++SXOnTsnDSyUlpaG0NBQfP7559lOr0FFU9myZVG+fHmdH2NjY5iamqJ8+fKwsrLie7wY+fLLLxEREYG4uDhp2YkTJ9CiRQs4OTnxfV2MtGzZEqdPn9ZJom/duoWWLVsC4N/vD51arQaQOT3Zq970Hma5E5E+ZOL1pwvlu0OHDiEyMhKVK1fGnTt30KJFC3z66aeFHRa9paioKEybNg0KhSLLOjs7O/z6668wMDCQEmtnZ2fcv38fderUwWeffVYIEVN++vHHH2FnZ4dvvvlGWsb3ePFx9uxZhISEwNnZGampqTAxMUHv3r2lAYj4vi4e1Go1du3ahfv376NixYpIS0uDhYUFunfvrjNQFN/bH56rV6/i4MGDOHv2LCpWrAgvLy80bNhQ6oahz3uY5U5EuWECTURERERERKQHtjkjIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCIiIiIiIiI9MIEmIiIiIiIi0gMTaCJ6a6mpqWjcuDFcXFzw+PHjdzqWQqFASEgIvv/+e7i4uCA6Olpn/ePHj1GjRg00btwYqamp73SuNxFCwNPTExUqVMDVq1cL9Fxv6/z587h3715hh0FERERUojCBJqK3dv36dUREROD27ds4derUWx9HrVZjwYIFWLRoERYuXIjbt29Do9HobHPq1CncunULERER+Pfff9819FwlJCQgODgYjx8/xsGDBwv0XLkRQqBevXqQyWRZfry8vODk5JTr/v/++y+cnZ2z7Ovq6oo5c+Zku4+fnx/q1q0rbVu2bFns2LGjIC6PiIiI6IMjE0KIwg6CKK/i4uJQrly5wg4j3+T39byv+6NWqzFgwAAkJydj8+bNsLS0fKfjJSYmomzZsgCAe/fuoUqVKtK6pKQk9O3bF2XLlsUff/wBQ0PDdzrXm3z33Xe4cuUK1q9fj8qVK2dZ/z7ucXBwMDw9PbNdt3jxYowdO/aNxxBCYMKECVi4cCEAoEGDBrh48WKu+zx//hzW1taoV68eTp48CSsrqzzHXpj4fKC84j0mIiJ9MYGmD05ycjJ69uyJw4cPF3Yo+eLBgwcYM2YMdu7cmS/H+9Dvj0wmA5A1gS5K3tc9bt68Ob766it4eXnpLJfL5bCwsND7OEqlEjVr1sT9+/dhZGSE2NhY2Nra5rj9rVu3UKNGDYSEhOCzzz576/gLw8WLF7Fy5UqsWLGisEPJF/v27cP58+cxderUwg6l2MrvZzARERVvbMJNH5yhQ4fi9u3bhR1GvlCpVOjTpw8SEhLy7ZjF6f4UVe/jHoeGhuLx48cYPHgwrK2tdX7ykjwDQKlSpTBp0iQAQHp6OlavXp3r9jt27ED9+vU/uOQ5KSkJvXv3RlpaWmGHki/u37+PwYMHZ+nOQPmnIJ7BRERUvDGBpg+GRqPB2LFjsX379sIOJV+kpaWhf//+CAsLy5fjFbf7k5ucGs4URIOaV4/5Pu/xnDlzoFAoMGLECAQEBCAmJuadjjdkyBDY29sDAH799VeoVKpst9NoNFi1ahW+/vrrdzrf+5aUlARPT0/cunWrsEPJFw8ePECnTp0QHx9f2KEUW/n9DCYiopKBCTR9MFatWoXjx48DyByRuXXr1mjdujU2bNggbZOcnIyff/4ZzZs3x2effYZKlSqhadOm2LNnT5bjJSYmYtGiRejduzcAYN26dahQoQKcnZ1x9+5daTshBJYuXYrmzZujWbNmqFGjBvz8/PDgwYMcY/33338xZMgQdO7cGZUqVULNmjXx888/Q61WS9vMmTNHGuH50qVL0vWEhIQUyP3RaDT4+++/0blzZ/z777+4desWmjdvDnNzcyxbtkw6zuXLlzFo0CC0atUKzZo1g4ODA/r165dtAqdSqbBr1y58+eWXOH369FvFra+oqCjMmzcPDRs2RGhoqLT84MGD+N///odmzZrBwsICL168wNKlS9GnTx80a9YMlpaW6NKlCx48eACVSoWAgACMGTMG9evXh7W1NcaMGZOlhi8pKQnr1q1Dx44dMXv2bGm5Pq/B/HD58mX8/fffePToEdauXYthw4ahcuXKaNu2La5fv/5WxzQxMcGYMWMAAI8ePcox5v379yMhIQEDBgzIdn1+vccuXLgAOzs7abAyIyMjfPrppzr79+nTB3K5HDKZDJMnT871+iZPniyN3H7gwAGpbF4dRf3u3bvw8fFBixYt4O7uDgcHB3h6emZ7T+/cuYPx48dj1qxZyMjIwJgxY2BlZYU2bdrovI9fvHiBMWPGoHnz5vj444/x6aefYvny5Xj58mWOse7duxdffvkl2rZti3LlyqFp06Y6A7Wp1WqMGzcOz549AwAEBgZK1/P06dNc70NulEolgoKC8N133wHILGs3NzeULl0alStXhr+/P5RKZZb9UlNTMWPGDHTv3h0NGzZEuXLl0K9fP0RFRWXZ9tSpU+jTpw8OHjyIJ0+eoFOnTjA3N4evr6/OdsePH4enpyc8PDzQtGlTNGzYEL/99hvS09OzHFOf5+mTJ0+wYcMGDBgwAOXKlUNKSgoOHz6MNm3awNzcHBUqVMgycJ4+z+C4uDj4+vqiWbNm8PDwQMWKFdG2bdtcB008ePAg2rRpg5YtW6Jq1ar46quvcP78+Ry3T0hIwIQJE+Dp6Yk6derAwcEBo0aN4pcnRERFlSD6gBw7dkwAEE5OTlnWpaSkiLp16wobGxvx6NEjIYQQL168EA0bNhQymUz8/fffQggh1Gq1GDdunChbtqwAIBo1aiR27Ngh7O3tBQABQKxcuVI67ogRI4SLi4tITEwUQgixa9cuAUDIZDJRv3590apVK/Hrr79K2+/fv1/UrVtX3L17VwghhEqlEl5eXgKA6NGjh9BoNNK269atEwBEq1atCvT+bNmyRXz66afS9Z04cULUqlVLmJubCwDCzc1NCCHEoUOHhJGRkfD29pbiDA0NFXK5XFStWlWkpqZKx1y+fLn46KOPpGMeO3YsX65Be7x79+5JyxYtWiTatWuX47muXLkirfv888/FuXPnpHX+/v4CgGjYsKEYMGCAiImJEUIIodFoxIABAwQAsXTpUmn74OBg0b9/f2FkZCQAiGnTpumcK7fXYH65c+eOWL16tZg5c6bo2rWrMDExka6vVKlS4sCBA2913MTERGFhYSEAiFq1aum8FrU6duwovv7662z3z+/32KNHj4SNjY0AIAYPHpztObt06SJGjhyp1/VNmzZNABCDBg3Ksu7KlSvCwsJCeHh4CJVKJYQQ4saNG8Lc3FyUKVNGup47d+6IQYMGCblcLgCI8ePHi2+//VbY2dlJsUdGRkr3w9XVVfTq1Uu6l+PGjRMAhLGxsXBzcxOtWrUSJ0+elOKYOnWq6Nq1q0hJSRFCCPHo0SNRo0YNAUAsWrRIJ+ZBgwZl+xp8G998842wtraWXru//fabMDIyEpUrVxalSpWSrs3T01Nnv4SEBOHq6ir++OMPadnOnTsFAGFjYyNu3bolhBAiJCREfPbZZ9Jxdu7cKZo2bSqds0KFCjr3oE6dOuLmzZvSsp49e2Z7fn2fp5GRkdLzVFtuPj4+4uzZs2L79u3C1tZWABD79u3TOX5uz+DY2Fjh4OAgatWqJV68eCGEEOLx48fC0dFRGBsbi8uXL2fZZ+PGjcLY2FhcunRJCJH5etK+D5ycnESrVq3E0KFDpe3v3bsnatSoIUJCQqRlCxcuFABEtWrVxNOnT7Ocg4iIChcTaPqg5Ja8aD/UVapUSWf54sWLBQDRu3dvneWBgYECgKhcubKYOHGiyMjIEBs2bBBubm7SB+TDhw8LAGLGjBk6+7q7uwsAYuzYsTrLY2NjhbW1tQgKCtJZfu3aNemD3f79+6Xl7yuBFkKI1NRUUbp0aemDZ3R0tLh7965o166d+OWXX4QQQnTr1k0AEP7+/jr7fvzxxwKAlCBpvXz5UkruCjKBFiIz4bWyssr2XGq1Wtrv2rVrOuvu3r0rrXv9A+/x48cFANG0adMscWjvRV4SaG3C8zY/2SV9WvHx8WLy5MnC0NBQABBmZmZS4pJX33//vXTO3bt366y7c+eOMDAwEFeuXMl234J4j02dOlW6nxkZGTr7K5VKUaZMmSxlmpPcEuhvv/1WABDe3t46y7t37y4AiOXLl+ssHzx4sAAgGjRoINavXy/UarWYOHGi6NSpk5SA+/n5CQAiNDRU2i85OVl6n+3atUvnmPv27ROlSpWSknWt3377TQAQpqamIiEhQVqenwl0enq6lJiZmJiIESNGiCdPngghMpPkrl27Sq+LP//8U9qvV69eWZJaIYT45JNPBADRq1cvaVlGRoaoWrWqACBat24tLl++LJ4+fSo+//xzMXnyZCGEEGvWrBEymUycP39e53hBQUHS+bVJY16fp0qlUloeEBCgs8/cuXMFANGzZ0+d5bk9g7X3q2XLljrLx4wZIwCISZMm6Sx/9uyZsLCwEG3atNFZrn2NN2jQQGe5RqMRTZo0Ed99953O8oyMDFGuXDkBQEycODFLXEREVLjYhJuKjQYNGqBGjRro2LGjznJra2sAyNIcTjs10bNnzzBjxgwYGBhgwIABCA8PR40aNQAAmzdvBgCUL19eZ98+ffoAAMLDw3WW//rrr0hJSckSQ926dVGmTBkAwO7du9/2Et+JqampNPLyF198gUqVKsHZ2RmHDh3Ct99+CwDo2LEjKlWqBDc3N519c7qHZmZmUr/agiaTyaQ4XieXy3VielXFihWl/78+zVaFChUAAP/991+WY2qn08qLChUqoGbNmm/1o40lOzY2Nvj5559x5MgRmJmZISUlRadpeV6MGzcOxsbGAIB58+bprFu+fDnc3NxQr169bPctiPeYj48PTExMcP/+fezdu1dn/4MHD6Jy5cqoW7fuW13rq9q2bQtHR0e0atUqT7Hb2trC29sbcrkcc+fOxf79+2FkZAQg++eDubk5unbtCiDr8+Gnn37CJ598kuV50rJlSwCAQqHAoUOH3uUyc2RoaIgGDRoAACwsLLBixQrY2dkByHytb968WboXa9euBQBERkZi+/bt6NatW5bjaWN+9XlmYGAAR0dHAMBnn32G+vXrw9bWFjt37sTPP/8MlUqFyZMnw93dHQ0bNtQ5Xrdu3TBmzBhMmzZNek7l9XmqfV0DQJs2bXT20b6mX+2e8ybNmzeHk5NTlsH0cnrN7Nu3D8nJyTn+vbh06RJSU1Ol5SEhIfjnn3+y3F8DAwM0a9Ysy/UREVHRULATqRK9R1WrVkVkZKT0u0qlwu7du/Hnn38CgE5/OeD/pkuysbFBqVKlsj2mtk+lti+i1kcffQQgs6/sq/bt2wcDAwN06tQpy7FsbW1haWmZbR+/90V7za8mla8aPXo0Ro8eLf0eGxuLjRs3SiNOv34PXz1mUfXqh+qc1r148SJfzvXzzz/j559/zpdjZcfd3R0zZszA+PHjcfLkybc6hoODA7y9vREQEICwsDCcPn0abm5uSEtLw9q1a/HLL7/kuG9BvMfs7OwwcOBArFq1CkuXLtWZ93rLli059sXOq+7du6N79+7S78+ePcOmTZvwzz//5Bp7Tu8VIPfnw7Zt23SeD8+ePcOZM2dgb2+P1q1b62yv0Wjg5OQEILOPeUExMMj8zrx06dJZ3rfm5uYYPHgwlixZggsXLgDI7CMthMBvv/2GjRs36mz/4sULKebExEQpoc3tvp04cQLx8fGoU6dOlnWGhoZYsmSJzrL8fJ6ampoCyJzjXF9NmjTR6eedkpKCbdu24e+//waQ9TWT0+uhZs2aMDQ0hFqtxvPnz1G6dGkAmdcHAH5+fvjpp5909nn27BmcnJx0vhwkIqKigQk0FTtJSUn49ddf8fjxY/Tv3x/9+vV764G5tDUhN2/e1FmurXV9/UPinTt3ULZsWWmgqQ/VxYsXsWLFCjg5OeGrr77C/v378fDhw8IOq8CIAhi9u6AMGTIEEyZMyHUQuzeZOHEi1q1bB41Gg3nz5uGvv/7Cli1bYGBggC+++OKN++fnewwAxo8fjzVr1uDo0aO4du0aPvroI6SmpmLv3r2YP3/+Wx83O7dv38Yvv/wCS0tLaXCnGzduvNWxbG1t8ejRI9y8eRNNmjSRlmf3fLh79y6EEGjTpo30hUNRU79+fQD/l8TfuXMHQGZLhfbt27/z8bUtPbTJ9psUxPP0bd7rjx49wtKlS5Geno7BgwejU6dOOHv2bJbtcvp7YWBgAFtbWyQmJsLGxkZarr2/69evl1pkEBFR0ccm3FSs7Nq1CzVr1kSdOnXw+++/S83g3pa2Nuyvv/7SmVtWOyL1559/rrO9SqVCYmLiBztvq0qlwujRozFgwAD8+OOPmDJlSpbmiFS4ypQpI9W+va0aNWqgR48eAIA9e/bg5s2b+P333/HVV1/lWFOsld/vMW082mas2hrwvXv34pNPPoGDg8M7Hx/ITJymT58ODw8PjB49Gj/99BOqVq36TsfUPh+0Tbm1YmJiIJPJpHsMQJo2rCiPrKztRqBNcPM7Zu3I5PpOyVYUnqcrV67Exx9/jG7dumHhwoU5dm8AgE6dOsHQ0BB3797VSbAVCgUSEhLQtWtXnRYxH8JrgoiIsmICTcXGkSNH4OXlhfbt28PLyytfjtmnTx8MGzYMiYmJ8PHxgUqlQmpqKmbNmoXOnTtj5MiROtvb29sjLS0NEREROR4zNja2yH5gGj58OJYvX45ffvkl1z65lD1fX1/UqlXrrX5en+YnJ0IIpKWlvXO/4EmTJgHIbD48ePBgnD9/Psvr+XUF8R7T+v777wEAmzZtwrNnz/K1+TYA/Pjjj9JPrVq18uWYc+fORcOGDfH3338jICAAAHDv3j0EBARg5syZUo0u8H+10hERETpfxr3u6tWrhdYiQtv02NXVFcD/xZzblE0AcOXKFb2Or+1zHRISkm13ECDz9a2dqquwn6fr1q3DqFGjMHLkSDRv3vyN21eqVAmrVq2CoaEhRo8ejSdPnkhf3Dg6OmZpoq7P/VWr1fj333/f6TqIiCh/MYGmD4q2D192NRJz5syBRqNB9erVdZZr+yG+7YfSVatWoWPHjrh48SKaNWuGzp07w8vLC3v27JEGE9LSDr7l6+ubbYypqanw9vaWavlyu5638S7He/DggTQ3cH7fw+Ikt3v86NEjREZGvtXPo0eP9Dr/P//8gxcvXrxzcvnpp5/Cw8MDAHD69Gl06NDhjTWyBfUeA4AWLVqgSZMmSE1NxcKFC3Hs2LE8J+k5lY1KpcKCBQsA5O9r28rKCgcPHkTVqlWxcuVKNG3aFKNHj8a6devwww8/6GxbrVo12NnZITExMct8xFqRkZGYNm2a1I84v58Pb6Lt364d9Er7PFu3bl22A+0Bmc27L168qNfxW7RoASBzDvWFCxdmu83PP/8sdRfJ6/P0beR2j7UD9eXlNTNkyBBMnz4dycnJ6NixI1q2bImMjAycP39eGmBNS3t9CxcuxJMnT7KN77vvvnunub+JiCj/MYGmD4p2ZOSEhARkZGQA+L8PPtoEZNeuXdJAMf/99x/++OMPAEBUVBQyMjKQkJCgs19ONSFA5uA43bp1w4QJE3D69GmcOXMGhw8fxqhRo6QPXq/S1uAdPXoUX375pU4/1cuXL6N169bo1KkTLCwsdK4nLi5O2u5dPizndn9e/X921/z48WPpA2FgYKC0/dq1a6VBxG7fvo2MjIw8DcSTF0qlUvq/Nv5XaQcMen3goNwGEnr1OK/X/L263+sfhnM6V273ODAwECJzesA8/2jvuUKhwLx587BmzRqdEXu1sXz//ffw8PDA4MGDc7xmfWlroQHg66+/fuP2BfEee9WECRMAZCbq7dq1y3Mz9ZzeTy9evJDu5YYNG6S49u7dK9X+aV/j2lpYfWK/fPkyBgwYgEOHDiE8PBynTp1CcHAw2rVrl2VbmUwmPR9mzJiB6dOnS02ahRDYs2cPPDw8dMokv58PWq++z7TS09Oxdu1afPzxx+jfvz8AoEOHDqhSpQrS0tLQvn17hISESO+TpKQkTJo0CZs3b9b5Mie3+1a7dm2pL/WUKVPw008/SQP4PX/+HFOmTMGjR4+k0cLz+jzN7d5om0u/Lrd7rH29b9myRXp2nD59WhoZW/uaefX1PnHiRBgYGODy5cs4e/Ysjh8/jp9//hlWVlZZzt23b19YWlriyZMnaNu2Lc6dOyete/ToEQYNGoTo6OgsI8cTEVEhK/iZsojyT1pamihbtqwAIGbOnCmOHTsmhg8fLtRqtRg+fLg0B2jp0qVFpUqVRLVq1cSuXbuk5fb29mL8+PFCCCHmz58vAAi5XC5u376d7flenTP39R9TU1PRunVrcfXqVZ19tPPNAhAymUxUrlxZ2NraCgCiX79+QqPRSNvGxsZKc/sGBASIv//+W4wbN65A7s+DBw+EsbFxjvPKJicnizJlykixlytXTpQpU0aMGjVKjB49WgAQhoaGwt7eXly4cEHaz8nJKd/mgd6/f790/r/++ktn3ePHj4VcLhcAxNy5c3XW/fPPP9J+ISEhOutu3LghrQsMDNRZ9+eff0rrtPMSC5E5D2v9+vUFANG5c2edMsvtHueH0NBQKSYnJycRFBQkVCqVuHv3rujUqZPw9PQUL1++zJdzCSFEgwYNRKVKlfSKvyDeY69Sq9XS6+n1Oar1cfbsWWme4127dolt27ZJc7i7uLhIMdrY2Ah7e3vRtWtXMXv2bOm9Wq5cObF7926RkZEhPD09BQBRs2ZNkZaWlu35tHMhZ/dTtmxZ4e3trTOvc2pqqvj000+lbUqVKiWcnZ2Fubm5kMlkWeai3rZtmwAg7OzsxJEjR8SqVavEihUr8nxftLRzmAMQkydPFikpKUIIIVQqlRgxYoSoVKlSlnIKDQ2V5rXWXlflypWFoaGhcHR01Nn+xYsXokKFCgKAGDx4cLYxREdHi8qVK0vHMzQ0FLa2tsLAwEC4u7sLhUKhs31enqdRUVHStq8+o4QQYtmyZQKAsLCw0Hmt5/YMbteunXQ8S0tL4eDgIBo3bizWrl0rLS9fvrxYunSpEEKIvXv35vh6kMvlok6dOlnmtN66dav0XNO+fypWrCgMDAxEvXr1pDmxiYio6GACTR+cbdu2CQcHB2FtbS0GDRokfUBNSEgQvXr1EpaWlsLe3l6MGjVKWtezZ09hZmYmBg8eLGJjY0WtWrV0PtyYmJiIRo0a6XzY1R6zffv2ok2bNqJOnTqibNmywsTERGdfR0dHkZycrLPf2rVrxSeffCJMTU1F6dKlhZubm/jjjz+yvZ6lS5cKW1tbYWdnJ8aOHStSU1Pz/f6MGTMmS9wuLi5iw4YNOvseO3ZMfPzxx8LExETUrVtXrFmzRgghxL///isqVaokKlasKDZu3KizT34l0E2bNtX5IGlkZCQaNWokkpOTRYsWLYSVlZVO/B9//LGIjY0V/fv31/mAb2JiItq3by+EEGLw4MHC2tpa50Ns48aNhRBC9O7dW+d8lpaWYtiwYWLs2LHC0dFR51xOTk5i//79ud7j/JKRkSFmz54t6tSpI0xNTYWxsbGoWrWq6N27t9i3b1++nUdr8+bNYubMmXptWxDvsdf5+vqKsmXLCpVK9VbXM3HiRGFlZSUqVqwoZs6cKSVLly9fFs2bNxempqaiWrVqYu7cuUKtVovHjx+LOnXqCBsbG7Fw4UJx9OhRKQl8NWns1atXlnP9+++/olatWqJdu3aiatWqwsrKShgZGens2717d519Xr58Kfz8/ET16tWFkZGRKFOmjOjWrZs4depUluOnp6eLQYMGCXNzc1GtWjWxbNmyt7onWtoE2snJSfz++++iQYMGokWLFuKTTz4RY8aMEfHx8dnud+XKFeHl5SVsbGyEkZGRcHZ2FuPGjdPZft68ecLc3DzL+2bevHlZjvf48WMxatQoUaFCBWFkZCRcXFzE7NmzhVKpzPb8+jxP//77b9G0aVPp3A0aNBCrV68WQgixYMECKekGILp16ybOnTsn7ZvTMzgqKkp07NhRmJmZCUdHRzF58mSRmpoqFAqFaN68ubCwsBATJkwQGRkZQojM8po8ebJwdXUVjRo1EnZ2dqJ06dLCwMBA5xkUERGhE/vJkydFx44dhZWVlTA2Nha1atUSP/74o/QFBxERFS0yIYpGp8akpCTs3bsXZcqUQZcuXXLdVqFQYOvWrTA3N0d6ejri4+MxcODAbJtIEb2LP/74A3///Te2bNmis1wIgZSUFFy7dg1Dhw7F4sWL82Walw9RlSpVcP/+fZw6dUqvgXaIcjNq1CjIZDIsX768sEPJlRACo0aNQr169eDj46OzTqPRIDExEcePH8ewYcMQGxsrzUNcmI4fPw4PDw84OTnpzG9M+ePixYsYNWoUjhw5AnNzc511aWlpuH//Pvz8/ODi4iL1ryYiog9PkegDffHiRWzYsAF79uxBSkpKrttmZGRg3rx5kMlk+OKLL9C3b184Ozvjp59+yrUfJFFeHT16FMOHD8e8efOyrJPJZDA3N0fTpk0xatQoqS9jSWZtbV3YIdAHTq1WY9euXfnSv7ugzZgxA8ePH8fo0aOzrDMwMICNjQ28vLzQpk0bKBSKQoiQ3qcnT56gU6dO+Pbbb7MkzwBgYmKCmjVrYurUqfx7QUT0gTMs7ACAzCkzKlSogJMnT75x27CwMFy/fh3Dhw+XlrVp0wabNm1CSEgIOnfuXJChUgny008/wcbGBpUrV851uydPnqBfv375eu7WrVvneZ/jx4/nawz6UqlUMDIykkaqDQwMlAbE0tfgwYM/iKSJClZAQAAcHBzQpEmTwg4lV0qlEnPnzkX37t2zHUzwVeXKlZMGqsoPly5dwtixY/O0T4MGDbJMoUT5a8WKFYiLi0Pjxo1z3S4qKgqdOnV6T1EREVFBKBIJNIA3fgjRCg8Ph5mZGRwcHKRlpUuXhqOjI0JDQ5lAU75JTEzE48ePERYWlmPT5OPHj6NmzZqwsbHJ13MXVjL8JgqFAps2bUK3bt1Qrlw5CCHw7NkzdO7cWZpKhskw6Wvz5s3YsWMH2rZti/Lly+P777/H+vXrCzusN0pNTYVSqcSJEyeQkJCQ4/v/999/1/myNz80aNDgrZ8P2lHjsxuFm95NYmIiAGDnzp2YMmVKttvExMTgwoULmDZt2vsMjYiI8lmRSaD1de/ePdja2mZZbmdnh4sXL0KtVsPQ8IO7LCqC/P390bt3b7Rv3x7Dhg1D586dUb58eSQlJSEqKgr79+/H559//s7z8X5Itm3bhuHDh6NmzZo4cuQIoqKiYGRkhFmzZhV2aPQBmjVrFq5fv46goCAAQI8ePdCzZ89CjurNypQpg7Fjx2LRokVo0KABvvnmGzRt2hRly5bF48eP8d9//+HUqVOYMmUKXF1dCztcyeXLlwFktpqJiopClSpVCjegYsTHxwebNm3CDz/8gAsXLqBfv36oUqUKVCoVHjx4gIMHD8LR0THL/OBERPTh+eAyzeTkZJQrVy7LchMTE2RkZODly5dZ+mIePnwYhw8fBpA5vyiRPj7//HNERERg8eLFCA4OxsqVK1G6dGnUqlULXbp0wbJly/K95rmo69atGzw9PXHkyBE0aNAAbm5uCA0NRd26dQs7NPoAjRs3Tpr7uX///pg/f34hR6S/hQsXwsPDA8uWLcOvv/6KqVOnomzZsmjYsCG+/PJL/PnnnzAyMirsMAEAKSkpcHd3x8WLFwFkDnJWr1491K1bF5s3b4azs3MhR/jhq1atGq5cuYJff/0Vu3btwsCBAyGTyeDk5IQ2bdpg/PjxqFWrVmGHSURE+aDIjML95MkT+Pj44IsvvkCvXr1y3G7QoEGoUqUKpk+frrP8119/xcmTJ7F27dpsB/B4VWxsbL7EnFe2traIj48vlHPT+8WyLjlY1iUHy7rkYFmXHAVd1q92OSSi4qFIjMKdF9bW1khLS8uyPC0tDcbGxm9MnomIiIiIiIjexgeXQDs7O2f7TWF8fDycnJwKISIiIiIiIiIqCT64BLpZs2ZITk5GXFyctCwtLQ0xMTFwd3cvxMiIiIiIiIioOCsyCbRarQYAvN4lOzQ0FN999x0ePHgAAGjUqBGqVauGkJAQaZujR4+ibNmyTKCJiIiIiIiowBSJUbivXr2KgwcPAgDOnDmDihUromHDhihdujRSUlLw4sULad5KuVyOH374ARs2bMCff/4JQ0NDxMbG4scff4SpqWlhXgYREREREREVY0VmFO73iaNwU0FjWZccLOuSg2VdcrCsSw6Owk1EeVVkmnATERERERERFWVMoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0wASaiIiIiIiISA9MoImIiIiIiIj0YFjYAQBAeHg4rl69igoVKuD27dto06YNGjRokOP2//33H06cOIHy5cvj+fPnSElJgbe3NywsLN5f0ERERERERFSiFHoN9NGjR7FhwwYMGjQInp6eGDRoEBYvXowbN25ku/2DBw8wZ84c9O3bFz169MCgQYNga2uL33///T1HTkRERERERCVJoSbQCoUCGzZsQMuWLWFiYgIAsLGxgaurK9auXZvtPpcvX4aBgQGsrKykZS4uLrh+/fp7iZmIiIiIiIhKpkJNoC9fvoyUlBTUqFFDZ7mLiwuioqIQHR2dZR9LS0ukpKTgzJkz0rJ79+6hatWqBR4vERERERERlVyF2gf63r17AABbW1ud5XZ2dgCAO3fuoHLlyjrrmjZtigMHDuDXX3/FixcvUKZMGfz3338YM2bM+wmaiIiIiIiISqRCTaCTk5MBQGq+raX9/fnz51n2MTIywg8//IBFixZhzZo1KFOmDGbOnImyZcvmeJ7Dhw/j8OHDAIA5c+ZkSdjfF0NDw0I7N71fLOuSg2VdcrCsSw6WdcnBsiaivCrUBNrQMPP0MplMZ7n2d+361z1//hwmJibo2rUr/v77b0yaNAmTJ09GzZo1s93+s88+w2effSb9Hh8fnx/h55mtrW2hnZveL5Z1ycGyLjlY1iUHy7rkKOiydnBwKLBjE1HhKNQ+0NbW1gCAtLQ0neXa37OrVX769CmmTZuGPn36YODAgZgxYwYMDQ2xYMECKJXKAo+ZiIiIiIiISqZCTaC1A38lJCToLNd+E1ilSpUs+xw+fBjW1tZwdHQEkDng2OjRo/H8+XOOxE1EREREREQFplAT6Hr16sHCwgK3bt3SWX7r1i1Uq1Yt22Yv6enp0Gg0Osvq1KkDADAwKPRprYmIiIiIiKiYKtSMUy6Xw8vLC6GhoVCpVACAxMRERERE4IsvvgAABAQEwM/PD2q1GgDQrFkzPHr0CFFRUdJxbt26BTs7uxz7QBMRERERERG9q0IdRAwAOnfuDENDQ6xcuRKVK1fGnTt34OPjg0aNGgHIHDDs+fPnyMjIgKGhIapXr45JkyZh8+bNcHR0hKmpKZ4+fQp/f3+YmpoW8tUQERERERFRcSUTQojCDuJ9i42NLZTzclTPkoNlXXKwrEsOlnXJwbIuOTgKNxHlFTsNExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHphAExEREREREemBCTQRERERERGRHgwLOwAiIiJ6MyEE0tLSoNFoAAAymayQIyq+4uLioFQqCzsMeg/yUtZCCACAgYEBTExM+B4kKqGYQBMRERVxGRkZUCgUMDU1hVwuL+xwij1DQ0Pe5xLibco6IyMDKSkpfD8SlVBswk1ERFTEKZVKmJmZ8cM6UREgl8thZmbGVgpEJRQTaCIioiJOCMHmokRFiEwmk5p0E1HJwgSaiIioiGPyTFT08H1JVDIxgSYiIiIiIiLSAxNoIiIiIiIiIj0wgSYiIiIi+v9u375d2CEQURHGBJqIiIiIiqynT59i4sSJ+O233zB9+nRMnjwZKSkpue6TkpKCadOmoUmTJqhZsyY+//xzREREZNnuzp07qFSpEipWrCj9/P333wV1KURUDMhECRxCMDY2tlDOa2tri/j4+EI5N71fLOuSg2VdchRmWaempqJ06dKFcu7CoJ3zurAYGhpCrVYXiVgKS3p6OmQyGQwNDQs1jpcvX6Jbt24YMGAAhg4dCgDw9/fHvXv3sHHjxhz3+/rrr1G9enXUqVMHN27cwMqVK6FWq3Hw4EFUq1ZN2m7SpEmoVauW9P4yMDBAp06dYG5u/sbY9HlfOjg46HOZRPQBYQ00ERERFRkvXryAv79/YYcBIDOJ/P777ws7jELx888/49GjR4UdBtasWYOoqCj06dNHWjZo0CAcO3YMBw8ezHaf8+fPw83NDePHj0enTp0wbtw4zJ8/HwqFArt27ZK2e/z4MRITEzFkyBD07t0bvXv3xpdffqlX8kxEJRcTaCIiIioSFAoFRo4ciaioqMIOBRkZGZgwYUK2zX6Lu02bNmHlypWFHQYAYM+ePahRowbMzMykZdWrV4eVlRV27NiR7T7p6eno16+fzjIPDw8AwPPnz6Vlq1atwr59+/DJJ59g/PjxuHbtWgFcAREVN4XbLoeIiIjemmbLaoiYe4Udhg5ZJWcY9Bn+VvseOHAAN2/eBABMnToVbm5uqFSpEtatW4d69erh6tWrUKvVmD17NszMzHDjxg3s2bMH169fx//+9z+MHj0aRkZGOHbsGGQyGbZs2YJbt24hPj4eO3bsgFwuR4cOHeDt7Q13d3coFAosXboUL168wJ07d6R+s25ubggNDcWlS5eQlJSEqVOnonbt2ujbt+8br+H27dvYuXMn9uzZg4CAAPj5+eHChQtwcnLC7Nmz4ebmBiAzQV+2bBkeP36MBw8e4OHDh5g4cSLat2+PuLg47Nu3D0FBQViyZAl8fX1x/fp1BAcHo1q1aggPD8ehQ4dgZWWF06dPw83NDWPHjpXmJV6/fj1u3LiB+Ph4REZGYuTIkejXrx8SExOxdetW7N27F8OHD8fly5exbds2WFhYYMmSJWjSpAnu3buHffv2AQAWL14MOzs7+Pr6QqFQYM6cObC3t4darUZoaCj8/Pzg6uqqc+2rVq2CjY0NNm/ejKdPn6Jhw4Zo1qwZfH19AQB79+7FqVOn8PLlS1y5cgVeXl747rvvpNi7desGuVyOXbt2QalU4tatW2jXrl2W++zg4IDLly9nWwZNmzbNsiwtLQ0A8Mknn0jL6tSpAx8fH4SFhWHLli3YsWMHfv755yzJNxHRq5hAExERUZHQs2dPbNq0CQAwY8YMAICrqyv69OmDwYMHQ61W46OPPkLVqlUxZswYmJqaIiwsDPfv38eVK1cwbdo0hIWFQSaT4dChQ1i8eDHOnDkDmUwGjUaDoKAgTJ06FZUqVQIAjBw5EhMmTEC9evUAAN7e3vD29sa5c+fg4eGB3bt3Q6FQSLHow9TUFLdv30ZUVBRCQkLw66+/IioqCj4+PhgyZAjCwsJgY2MDf39/tGzZEt9++y0AwNfXF8OGDcPRo0dhaWmJ6OhoXLx4ETt37sSUKVOwceNGWFtbIzg4GNu2bUNgYCDkcjlq166NoUOHolq1avD09MTy5cshl8sxe/ZsAMCyZcswYcIEODo6onnz5mjatClmzpyJnTt3ws/PD+PHj4eXlxemTZuGAwcOwNnZGd27d8eJEycwbtw46V4tWbIEe/fuxfnz5wEAcXFxUvIJZA7a1a9fPyxevBjNmzeHm5sb+vbti9atW2P8+PEAgODgYJw7dw5z5swBkFm7/PXXX8POzk5KWq2traV7mZSUBI1Go1P7rGVmZoa7d+/qXS5hYWGoXr06OnXqJC374osvpP7u4eHh+O677zBp0iR88sknqFGjht7HJqKShQk0ERHRB+pta3o/JAMHDkSLFi0AADKZDObm5rh//z4AwMnJCc7Ozrh//z68vb0BAO3btwcA/PXXX7C3t5dqNr28vBAUFIT4+HhUqlQJEREROH36NLZv347t27cDAExMTFC9enVER0ejbt26bxVvxYoVUatWLezfvx8+Pj6QyWSoUKEC/Pz84OPjg+3bt6N79+7YsGED5HI5Tp8+DQBITk5G/fr1ce/ePbRr1w61a9cGAHz++edwcXGBq6srMjIy4O/vj19++QVyuRwA0KFDBylpVSqVWLp0KTp27IipU6cCyByEy9XVFTExMZDL5bCxsQEAdOnSRUoSW7VqhdWrV+d6XS1btoSVlZX0u4WFhVQOAHD27Fk8fPgQ5cqVAwC4u7ujXLlyOgPvzZs3DzVr1pRiU6lUcHV1RVxcnLTNhg0bpP8bGxsDgFSGrzIwMICRkVGuMWup1WqsXr0aS5cuzXGfZs2aYfPmzWjXrh327NlTYvu+E9GbMYEmIiKiImvcuHGIjY1FQEAADA0NkZ6eDo1Go7NNqVKlsuyXnp6OBw8eQAgBmUwGR0dHyGQyODk5AcgcaMrc3Dzb2uVXR+F+F68mftovAaKionDx4kVoNBr4+fllG/urTExMpP/fvHkTT58+RYUKFXTO0atXLwDA1atXkZycDB8fH1SvXl3vOI2NjaFUKnPdpkWLFmjSpAmCgoKQmJiIO3fu4NWJXNLT0wEA0dHR0rkdHBxQpUoVAEBiYiLu3r2LmTNnonXr1nrFVaZMGRgbGyM1NTXLupSUFJQvX16v48ybNw9ff/01GjRokOt2Li4u+PTTT/HkyRO9jktEJRMHESMiIqIia9WqVRg/fjy++OILDBo0SCehzM3AgQPx7Nkz7N69GwBw/fp1DB48GGXLlpW2iY+PR3JycpZ935RMvg0LCwsAgKWlpbQsu8HScju3NkmNiYnJ9Vx5Pa4+/vvvP3Tq1AmOjo4YOnSoVEOu1bJlS7i4uGDdunXQaDRISUlBenq6zujZOcWmUqlyPG/dunWznX40NjZWr1YCgYGBcHFxQZcuXd64LZDZhNzOzk6vbYmoZGICTUREREWKtob50qVLmD59OoYMGSI1H3699jkn7u7u8Pf3R3BwMJYtWwaVSoWZM2dK611cXKDRaLBu3Tqd/WJiYhAUFAQAUt/p/BAdHQ0gs7m0i4sLACAgIEBnm6SkJPzxxx85HqNq1aowNDTE2rVrdWp/FQoFDh8+DGdn52zXK5VKrFixQu9YtTXnr177N998gypVquDTTz/Nsg7I7PsdGBgIhUKBWbNm4c8//8TGjRulcitTpgxsbW2xfv16nYRZCIHffvtNJ95XeXp6IjIyEgqFQlp29+5dJCYmwsvLK9fr2Lp1K4yNjfHll1/qnO/GjRvZbq9Wq3Ht2jV06NAh1+MSUcnGBJqIiIiKjLJly+L+/ftQKpU4efIkACAiIgLp6ek4dOgQEhMT8fjxY6lvrUajyba59fr16xEWFoauXbuiYsWKMDY2RmhoqJS8tWrVCrVr18aCBQuwYMECnDt3Dtu2bcOUKVPg6ekpxZKQkIBnz57h8uXLeW7W/WpN8Zo1a9CxY0c0b94cLi4uaNOmDTZt2gQ/Pz/8888/CA4OxjfffIPu3bsDgJRQvnpOc3NzDBkyBMeOHcPAgQMRHByM3bt3Y/z48WjatCnMzc3Rv39/nDhxAqNHj0ZYWBhCQkIwbNgwKSnM7hq090SbFGtr6W/evIm4uDg8ePAAsbGxuHnzJhITExETE4NTp05J15iUlIT79+9j+PDh+PLLL1G/fn3Y29sjIiJCp/Z41KhRiIyMhLe3N44fP44TJ05gxIgRaNy4sZS0Dxw4EIMHD5b26du3L2xtbbFt2zadsm3YsKHUFDwyMhLNmzfHX3/9JW2zZ88e7N27F5aWlti7dy/27t2LPXv24LvvvoNcLkd4eDiGDh2KkJAQaZ+FCxeiR48eqF+/vl7lS0QlE/tAExERUZExaNAghIeHo1OnTpg0aRI8PDwQEBCAo0ePwtfXF97e3ti6dStWr16NOnXqIDw8HHFxcVi9ejU6d+6MihUrAgDs7e1x48YNXLt2Dc+ePYNSqYQQAvXr18eePXtgZGSEdevWwc/PDytWrMD69evh4eGBhQsXwszMDGq1Gr169cLu3bvRpUsXjB8/Hh9//HGeriUwMBAZGRmIj4+HnZ2dTg340qVLMXXqVOzYsQNBQUHS6NjlypVDRESENLDZ8uXLMWDAACmpmzJlCgwMDLB9+3acO3cO7u7u+PHHH2Fubg4A8Pf3B5CZQB45cgQNGjTADz/8gFq1aiEpKQlr164FkDmdVMOGDZGWloYDBw4AyByxe8SIEWjevDkaNWqEMWPGoH///vD19cWkSZMwf/58tG7dGr1794avry+GDBmCsWPHYtmyZTA2NoaJiQlWrFiBR48eITU1FRkZGTAxMcGWLVvQuHFjjBw5Ei9fvsTmzZulZuATJ05Ey5YtpfuSlJSkcw8tLCwQFBSEWbNmISEhAWlpaUhOTsbGjRulgdQUCgUSEhKkOZ6PHz+O7777Dunp6Th69KjO8T799FO4uLhAqVQiJiYGX331Fdq0aQNnZ2e4ubmhbdu2eSpjIip5ZCKnNjPFWHZ9ad4HW1tbndEoqfhiWZccLOuSozDLOjU1FaVLly6Uc3+IhBCYPHkyhg4dKo00LYTA8+fPsXz5cnTt2lWauio77zqI2MKFC7Fo0SI8fPjwrY/xoTl27BiuXLmCMWPGSMvS0tJw9epVHDhwQErsi5p3KWt93pcODg5vdWwiKrpYA01ERETFSnBwMC5cuIC5c+dKy2QyGaytreHs7Kz36M2v69GjBx49epTrNq82Iy4plEolfHx8sHXrVp3lJiYmqFmzJq5fv15IkRER5T8m0ERERFSspKenIzIyEmvXroWnpycsLS3x5MkThISEvNMoy7t27dJru4yMDACZfYu1cxkXZ9p+6AsXLoSvry+qVKmCly9f4tKlSzh79izGjRtX2CESEeUbDiJGRERExYqXlxf8/f0RGBiIxo0b45NPPsGMGTPg6uqKnj17Fui5jx07hv379wMA5s6di2vXrhXo+YoCU1NTbNmyBQqFAp6enqhTpw4GDhyIhw8fYuLEiW+c65qI6EPCPtDvEftKlhws65KDZV1ysA90yfGufaDpw8E+0ESUV6yBJiIiIiIiItIDE2giIiIiIiIiPTCBJiIiIiIiItIDE2giIiIiIiIiPTCBJiIiIiIiItJDviTQjx49yo/DEBERERERERVZeU6gb9y4gYULF2L+/PnSspSUFMydOxcxMTH5GhwRERERERFRUZGnBPrKlSuYMWMGzp49qzOXcvXq1TFw4EDMnj0bjx8/zvcgiYiIiIiIiApbnhLorVu3onLlyhg+fDhsbW111lWoUAH16tXDli1b8jVAIiIiIqJ3JYTAnTt3CjsMIvrAGeZl44SEBPzyyy8wNjbGpUuXsqy3trbGiRMn8is2IiIiIirhnj59ivnz56Ny5cpISEiAQqGAv78/zMzMct0vNDQUffv21Vn2+++/o1q1agUZLhEVc3lKoCtUqABjY+Mc19+8eRMpKSnvHBQRERGVXAqFAqampoUdBoCiFcv7lJ6eDplMBkPDPH1UzHcvX75Er169MGDAAAwdOhQA4O/vj5EjR2Ljxo257hsYGIiFCxdCJpMBAIyNjdG1a9cCj5mIirc8NeG2t7dHdHR0tut27dqF//77D1WqVMmPuIiIiKgEevHiBfz9/Qs7DACZSeT3339f2GEUip9//rlIzLKyZs0aREVFoU+fPtKyQYMG4dixYzh48GCO+12+fBkVKlRAnz590Lt3b/Tu3Rs9e/Ys9C8EiOjDl6enSK9evfDTTz/B1dUV8fHxOHLkCBITE3Hu3DlERUVBJpOhV69eBRUrERERFWMKhQIjR45Eenp6YYeCjIwMTJgwAREREYUdynu3adMmrFy5EkOGDCnsULBnzx7UqFFDp7l29erVYWVlhR07dqBDhw7Z7vfbb79h//79OH78ODw8PDBs2DBW8hBRvshTAm1jY4MffvgB69evx/3797Fq1SppnaOjI7y9vVG/fv18D5KIiIiyWhMRh3uJaYUdhg7nMiYY9km5t9r3wIEDuHnzJgBg6tSpcHNzQ6VKlbBu3TrUq1cPV69ehVqtxuzZs2FmZoYbN25gz549uH79Ov73v/9h9OjRMDIywrFjxyCTybBlyxbcunUL8fHx2LFjB+RyOTp06ABvb2+4u7tDoVBg6dKlePHiBe7cuYOUlBRMmzYNbm5uCA0NxaVLl5CUlISpU6eidu3aWfrTZuf27dvYuXMn9uzZg4CAAPj5+eHChQtwcnLC7Nmz4ebmBiAzQV+2bBkeP36MBw8e4OHDh5g4cSLat2+PuLg47Nu3D0FBQViyZAl8fX1x/fp1BAcHo1q1aggPD8ehQ4dgZWWF06dPw83NDWPHjpWaKq9fvx43btxAfHw8IiMjMXLkSPTr1w+JiYnYunUr9u7di+HDh+Py5cvYtm0bLCwssGTJEjRp0gT37t3Dvn37AACLFy+GnZ0dfH19oVAoMGfOHNjb20OtViM0NBR+fn5wdXXVufZVq1bBxsYGmzdvxtOnT9GwYUM0a9YMvr6+AIC9e/fi1KlTePnyJa5cuQIvLy989913UuzdunWDXC7Hrl27oFQqcevWLbRr1y7LfXZwcMDly5dzLIdmzZqhYsWKCA0Nxbp167BlyxasXLkSbdu21eelSESUozy3Y7G1tcX//vc/pKWlITY2Fmq1GmXLloWtrS2ePXtWEDESERFRCdCzZ09s2rQJADBjxgwAgKurK/r06YPBgwdDrVbjo48+QtWqVTFmzBiYmpoiLCwM9+/fx5UrVzBt2jSEhYVBJpPh0KFDWLx4Mc6cOQOZTAaNRoOgoCBMnToVlSpVAgCMHDkSEyZMQL169QAA3t7e8Pb2xrlz5+Dh4YHdu3dDoVBIsejD1NQUt2/fRlRUFEJCQvDrr78iKioKPj4+GDJkCMLCwmBjYwN/f3+0bNkS3377LQDA19cXw4YNw9GjR2FpaYno6GhcvHgRO3fuxJQpU7Bx40ZYW1sjODgY27ZtQ2BgIORyOWrXro2hQ4eiWrVq8PT0xPLlyyGXyzF79mwAwLJlyzBhwgQ4OjqiefPmaNq0KWbOnImdO3fCz88P48ePh5eXF6ZNm4YDBw7A2dkZ3bt3x4kTJzBu3DjpXi1ZsgR79+7F+fPnAQBxcXHw8fFBWFgYACAlJQX9+vXD4sWL0bx5c7i5uaFv375o3bo1xo8fDwAIDg7GuXPnMGfOHACZtctff/017Ozs0K9fPwCZA9JqJSUlQaPRZDtYmJmZGe7evZtjObxae75v3z5MmDABX3/9Nc6cOYOyZcvqXZ5ERK/LUwIdGBiIwYMHAwBMTExQtWpVnfVnz56Fvb09GjZsmG8BEhERUfbetqb3QzJw4EC0aNECACCTyWBubo779+8DAJycnODs7Iz79+/D29sbANC+fXsAwF9//QV7e3upZtPLywtBQUGIj49HpUqVEBERgdOnT2P79u3Yvn07gMzPNtWrV0d0dDTq1q37VvFWrFgRtWrVwv79++Hj4wOZTIYKFSrAz88PPj4+2L59O7p3744NGzZALpfj9OnTAIDk5GTUr18f9+7dQ7t27VC7dm0AwOeffw4XFxe4uroiIyMD/v7++OWXXyCXywEAHTp0kJJWpVKJpUuXomPHjpg6dSqAzEG4XF1dERMTA7lcDhsbGwBAly5dUKNGDQBAq1atsHr16lyvq2XLlrCyspJ+t7CwkMoByPwM+PDhQ5Qrl/madHd3R7ly5RAfHy9tM2/ePNSsWVOKTaVSwdXVFXFxcdI2GzZskP6vHbhWW4avMjAwgJGRUa4xa3Xp0gWWlpbo06cPQkJC0Lt3b732IyLKTp4S6FcfcNmpXr06li1b9t4T6EePHiEmJgbOzs6ws7N7r+cmIiKigjNu3DjExsYiICAAhoaGSE9Ph0aj0dmmVKlSWfZLT0/HgwcPIISATCaDo6MjZDIZnJycAADnz5+Hubl5trXLhoaGUKvV7xz7q4mf9kuAqKgoXLx4ERqNBn5+ftnG/ioTExPp/zdv3sTTp09RoUIFnXNox5+5evUqkpOT4ePjg+rVq+sdp7GxMZRKZa7btGjRAk2aNEFQUBASExNx584dCCGk9dp+69HR0dK5HRwcpH7HiYmJuHv3LmbOnInWrVvrFVeZMmVgbGyM1NTULOtSUlJQvnx5vY4DZH4B4OTkhCdPnui9DxFRdt6YQJ85cwYXLlwAANy/fx/Lli3LdjulUon//vsPKpUqz0GEh4fj6tWrqFChAm7fvo02bdqgQYMGue6j0Whw5MgRHD58GK1atYKbmxvKlCmT53MTERFR0bVq1SocO3YMK1asgJWVVY6fQ143cOBAhISEYPfu3ejRoweuX7+OwYMH6zTfjY+PR3JyMiwsLHT2VSqVUg1vftGew9LSUloWFRWFmjVrZjl3Tkm1NkmNiYmBi4tLjueKiorKkkDndlx9/Pfff/j2228xe/ZsfP7550hKSsLff/8trW/ZsiVcXFywbt06tG7dGgqFAunp6TqjZ2tje51KpcpxmtS6desiNjY2y/LY2Fi4u7vn6Rqsra1Z0UJE7+yN01g1adIE5cqVw4kTJ5CQkIATJ05k+3PmzBm8ePECXbp0yVMAR48exYYNGzBo0CB4enpi0KBBWLx4MW7cuJHjPkqlEgsWLMCRI0cwceJEdO7cmckzERFRMaGtYb506RKmT5+OIUOGSM2HX699zom7uzv8/f0RHByMZcuWQaVSYebMmdJ6FxcXaDQarFu3Tme/mJgYBAUFAYDUdzo/aKcBbdWqlZT8BgQE6GyTlJSEP/74I8djVK1aFYaGhli7dq1O7a9CocDhw4fh7Oyc7XqlUokVK1boHau25vzVa//mm29QpUoVfPrpp1nWAZl9vwMDA6FQKDBr1iz8+eef2Lhxo1RuZcqUga2tLdavX69T2SKEwG+//aYT76s8PT0RGRkJhUIhLbt79y4SExPh5eWl9zW9ePECMTExetd+ExHl5I010DKZDF5eXrCzs0NISEiOI1AaGhqiXLlyOv1j3kShUGDDhg1o166d1ETJxsYGrq6uWLt2LebNm5ftfsuXL0dkZCQWLlyoM9gEERERfdjKli2L8+fPQ6lU4uTJkwCAiIgIeHh44NixY0hMTMTjx48RHx8PW1tbaDSabJtbr1+/HmFhYfD09ISBQWZ9QWhoKNzc3GBsbIxWrVqhdu3aWLBgAVQqFVq1aoV79+4hODgYa9askWJJSEjAs2fPEBMTg7p16+ZpHuGYmBhpEK41a9agY8eOaN68OQCgTZs22LRpE4yNjdGtWzc8efIEW7ZswaJFiwBASihfvTZzc3MMGTIEq1evxsCBA9GrVy9oNBocPHgQ8+bNg7m5Ofr3748//vgDo0ePxoABA5Camor169fjhx9+yHI8LW1Cq9FoYGBgINXS37x5EyYmJkhPT5cGjk1MTMTLly9x6tQp6RotLCzw/PlzDB8+HMOGDZM+00VERODjjz+Gg4MDAGDUqFH46aef4O3tja+//hoymQwbN27EwIEDpaR94MCBMDAwQGBgIACgb9++CAgIwLZt2zBo0CCpbBs2bCglw5GRkfjqq6/w/fffo2fPnggODsaePXswYsQING7cGBkZGZg2bRomT56cp2bfRETZ0fuvgLu7OypWrIhq1arluM3Tp0+lh68+Ll++jJSUFGkQCy0XFxeEh4cjOjoalStX1ll35coVhIeHo2/fvkyeiYiIiplBgwYhPDwcnTp1wqRJk+Dh4YGAgAAcPXoUvr6+8Pb2xtatW7F69WrUqVMH4eHhiIuLw+rVq9G5c2dUrFgRAGBvb48bN27g2rVrePbsGZRKJYQQqF+/Pvbs2QMjIyOsW7cOfn5+WLFiBdavXw8PDw8sXLgQZmZmUKvV6NWrF3bv3o0uXbpg/Pjx+Pjjj/N0LYGBgcjIyEB8fDzs7Ox0asCXLl2KqVOnYseOHQgKCpJGxy5XrhwiIiKkgc2WL1+OAQMGSNOETpkyBQYGBti+fTvOnTsHd3d3/PjjjzA3NwcA+Pv7A8gc4frIkSNo0KABfvjhB9SqVQtJSUlYu3YtgMzppBo2bIi0tDQcOHAAQOaI3SNGjEDz5s3RqFEjjBkzBv3794evry8mTZqE+fPno3Xr1ujduzd8fX0xZMgQjB07FsuWLYOxsTFMTEywYsUKPHr0CKmpqcjIyICJiQm2bNmCxo0bY+TIkXj58iU2b96MoUOHonbt2pg4cSJatmwp3ZekpCSde2hhYYGgoCDMmjULCQkJSEtLQ3JyMjZu3Cg1s1coFEhISMDz588BAFZWVoiMjETv3r3RpUsXlCtXDv369UPjxo3zVH5ERNmRiZzazLyFc+fO4dKlSxg+fLhe22/evBl//fUX5s2bpzO5/dmzZ7FgwQJ8/fXX8PDw0Nln0aJFOHPmDDp16oSnT5/i1q1bsLCwwBdffIFmzZrpdd7s+tK8D7a2tjqjUVLxxbIuOVjWJUdhlnVqaipKly5dKOf+EAkhMHnyZAwdOlT6kl4IgefPn2P58uXo2rWrNHVVdt51ELGFCxdi0aJFePjw4Vsf40Nz7NgxXLlyBWPGjJGWpaWl4erVqzhw4ICU2Bc171LW+rwvtbXvRFR85Hke6PDwcGmwsFdzb41Gg1u3biExMVHvBDo5ORmA7giTr/6u/SbxVZGRkTA1NUWbNm3g5OQEjUaDVatWYenSpbCxsckyGAcAHD58GIcPHwYAzJkzB7a2tvpdbD4zNDQstHPT+8WyLjlY1iVHYZZ1XFxcnpoOl3S7d+/GxYsXUadOHZ3ltra2qFatGipWrPjG+5nd+m7duuHRo0e57rdnzx6pJV5JKTOlUgkfHx/s3LlT55rNzc1Rt25d3Lhxo0jfi7eNrVSpUnz+E5VAeXpiHD58+I3zBDZt2lT/k///B9br8/tpf8/ugZacnIwGDRpI01AYGBhgwIABOHnyJPbu3ZttAv3ZZ5/hs88+k34vrBoE1lSVHCzrkoNlXXIUZlkXxKjQxVlaWhpu3LiBVatWwdPTE5aWlnjy5AlCQkJgbW2NsmXL5lrrmFOt5F9//aXX+bWjZaempuY4unRxolKpoFarMXfuXPj6+qJKlSp4+fIlLl26hLNnz2LcuHH5Mi1YQXiXGmilUvnGZwJroImKnzwl0MeOHcO4cePg7OyMW7duwcDAQBpJMikpCUeOHMGwYcP0Pp62D3NaWprOcu3vr041oWVmZpalj7W5uTns7e0LrWk2ERERFR1eXl549uwZAgMDMXPmTFhYWKBp06YYPXr0G6fJfFfHjh3D/v37AQBz585Fz5498dFHHxXoOQubqakptmzZgrlz58LT0xNqtRq1atVC7969MXHiRL3HxiEi+hDkKYGuWbOmVMNsZ2eHLVu2SP2O7ezs8PTpU+zYsSPLnH85qVq1KgAgISFBqlEG/q+G+NV+0VoVK1bMtml36dKl+YAmIiIiAMDw4cP17lKWnzw8PLKM31ISuLq6YsuWLYUdBhFRgctTxvnqnH8GBgYoXbo0/v33X51lJ06c0Pt49erVg4WFBW7duqWz/NatW6hWrVq2zV5atGiBu3fvIjU1VWf5s2fPpNpwIiIiIiIiovyW5wR6+vTpmD59OpKSktC+fXv88ssv0vx8gYGBWRLb3Mjlcnh5eSE0NFSagzAxMRERERH44osvAAABAQHw8/OT+qe0bNkStra2OHTokHSc69evQ6lUwtPTMy+XQ0RERERERKS3PDXh9vLywo8//ohHjx4hMTERzs7OGD58OBYtWiQluK1atcpTAJ07d4ahoSFWrlyJypUr486dO/Dx8UGjRo0AZI7E/fz5c2RkZMDQ0BClSpXC1KlT8ccff2DVqlUwMzNDQkICZsyYwXmhiYiIiIiIqMDkeR5ojUaD1NRUmJubS8tiY2Nx/vx5lClTBs2aNSvyfZE5DzQVNJZ1ycGyLjk4D3TJ8a7zQNOHg/NAE1Fe5XniOwMDA53kGch8OGgfENevX0fdunXzJzoiIiIiIiKiIiLfq4oPHDiQ34ckIiIiIiIiKnR6JdAZGRlITk7OdRuNRoMNGzbg7Nmz+RIYERERERERUVHyxibchw8fxoYNG5CWloZy5cph7Nix0vzNWvHx8Vi6dClu3rxZYIESERERERERFaZca6Dv37+PNWvWIC0tDQAQFxenM+I2APzzzz+YOHEibt68CQsLC0yaNKlgIyYiIiIiKgBCCNy5c6ewwyCiIizXGuhDhw7B2NgYX375JSpVqoR///0XwcHBuHjxIlxdXREYGIiQkBAAQP369fHNN99wKikiIiIiyjdPnz7F/PnzUblyZSQkJEChUMDf3x9mZmY57tOqVSvcvn07y3IbGxtcuXJF+v3EiRPo1auXzja///47qlWrln8XQETFSq4J9I0bNzBixAi0aNECANCgQQNoNBqcOHEC27ZtQ3R0NAwNDdGnTx9069btvQRMRERExZtCoYCpqWlhhwGgaMXyPqWnp0Mmk8HQMM8TtuSrly9folevXhgwYACGDh0KAPD398fIkSOxcePGbPc5efIkatWqhUmTJsHIyEhavm3bNpQpU0Zn27Vr12LhwoWQyWQAAGNjY3Tt2rWAroaIioNcn4ovXrxA06ZNdZa1bt0a48ePBwBUqFABY8aMgbOzc8FFSERERCXGixcvMGPGDCxYsKCwQ0F6ejq+//57/P7774Udynv3888/Y8iQIahUqVKhxrFmzRpERUWhT58+0rJBgwahVatWOHjwIDp06JBln6SkJCxfvhwGBro9FefMmYOpU6dKv1++fBkODg46xyYiepNcE2gTE5Ms3zw6OjrC2NgYzZs3x5AhQ1CqVCmd9efOnUPjxo3zP1IiIiLSce1CKl4kZRR2GDosreX4qGHpt9pXoVBg5MiRSE9Pz+eo8i4jIwMTJkxAREREYYfy3m3atAkrV67EkCFDCjsU7NmzBzVq1NBprl29enVYWVlhx44d2SbQ2bWKvH37Nh4/foxmzZpJy3777Tfs378fR48ehYeHB4YNG4YqVaoUyHUQUfGRawL9+jd3Wo6Ojhg1alS2686cOcMEmoiIiPLswIED0oweU6dOhZubGypVqoR169ahXr16uHr1KtRqNWbPng0zMzPcuHEDe/bswfXr1/G///0Po0ePhpGREY4dOwaZTIYtW7bg1q1biI+Px44dOyCXy9GhQwd4e3vD3d0dCoUCS5cuxYsXL3Dnzh2kpKRg2rRpcHNzQ2hoKC5duoSkpCRMnToVtWvXRt++fd94Dbdv38bOnTuxZ88eBAQEwM/PDxcuXICTkxNmz54NNzc3AJkJ+rJly/D48WM8ePAADx8+xMSJE9G+fXvExcVh3759CAoKwpIlS+Dr64vr168jODgY1apVQ3h4OA4dOgQrKyucPn0abm5uGDt2rNQMef369bhx4wbi4+MRGRmJkSNHol+/fkhMTMTWrVuxd+9eDB8+HJcvX8a2bdtgYWGBJUuWoEmTJrh37x727dsHAFi8eDHs7Ozg6+sLhUKBOXPmwN7eHmq1GqGhofDz84Orq6vOta9atQo2NjbYvHkznj59ioYNG6JZs2bw9fUFAOzduxenTp3Cy5cvceXKFXh5eeG7776TYu/WrRvkcjl27doFpVKJW7duoV27dlnus4ODAy5fvqz3ays4OBjt2rXTadLdrFkzVKpUCcePH8e6deuwZcsWrFy5Em3bttX7uERU8uSaQD9+/Bg//PADjI2NdZY/evQI06dP11kmhEBiYiIeP36Mb7/9Nv8jJSIiIh1vW9NbVPXs2RObNm0CAMyYMQMA4Orqij59+mDw4MFQq9X46KOPULVqVYwZMwampqYICwvD/fv3ceXKFUybNg1hYWGQyWQ4dOgQFi9ejDNnzkAmk0Gj0SAoKAhTp06VmiWPHDkSEyZMQL169QAA3t7e8Pb2xrlz5+Dh4YHdu3dDoVBIsejD1NQUt2/fRlRUFEJCQvDrr78iKioKPj4+GDJkCMLCwmBjYwN/f3+0bNlS+szk6+uLYcOG4ejRo7C0tER0dDQuXryInTt3YsqUKdi4cSOsra0RHByMbdu2ITAwEHK5HLVr18bQoUNRrVo1eHp6Yvny5ZDL5Zg9ezYAYNmyZZgwYQIcHR3RvHlzNG3aFDNnzsTOnTvh5+eH8ePHw8vLC9OmTcOBAwfg7OyM7t2748SJExg3bpx0r5YsWYK9e/fi/PnzADJnZvHx8UFYWBgAICUlBf369cPixYvRvHlzuLm5oW/fvjpd/4KDg3Hu3DnMmTMHQGbt8tdffw07Ozv069cPAHQGo01KSoJGo8l2sDAzMzPcvXtX73LZt29flplihgwZAkNDQ6jVauzbtw8TJkzA119/jTNnzqBs2bJ6H5uISpY3jgyR3QiGAPDvv//mezBERERErxo4cKA0mKlMJoO5uTnu378PAHBycoKzszPu378Pb29vAED79u0BAH/99Rfs7e2lmk0vLy8EBQUhPj4elSpVQkREBE6fPo3t27dj+/btADK7rlWvXh3R0dGoW7fuW8VbsWJF1KpVC/v374ePjw9kMhkqVKgAPz8/+Pj4YPv27ejevTs2bNgAuVyO06dPAwCSk5NRv3593Lt3D+3atUPt2rUBAJ9//jlcXFzg6uqKjIwM+Pv745dffoFcLgcAdOjQQUpalUolli5dio4dO0p9fV++fAlXV1fExMRALpfDxsYGANClSxfUqFEDQOaI1atXr871ulq2bAkrKyvpdwsLC6kcAODs2bN4+PAhypUrBwBwd3dHuXLlEB8fL20zb9481KxZU4pNpVLB1dUVcXFx0jYbNmyQ/q+twNGW4asMDAx0apNzc/v2bcTExMDd3T3Hbbp06QJLS0v06dMHISEh6N27t17HJqKS5419oFu2bAlLS8tsH16v0mg0SEhIkP4QEBEREb2rcePGITY2FgEBATA0NER6ejo0Go3ONq+PxwJkDgD24MEDCCEgk8ng6OgImUwGJycnAMD58+dhbm6ebe2ytlbyXb362Un7JUBUVBQuXrwIjUYDPz+/bGN/lYmJifT/mzdv4unTp6hQoYLOObTTMF29ehXJycnw8fFB9erV9Y7T2NgYSqUy121atGiBJk2aICgoCImJibhz5w6EENJ6bb/16Oho6dwODg5Sn+LExETcvXsXM2fOROvWrfWKq0yZMjA2NkZqamqWdSkpKShfvrxexwkODsZnn332xnvdsmVLODk54cmTJ3odl4hKplwTaA8PDwwePDhPByyJUz0QERFRwVi1ahWOHTuGFStWwMrKCsuWLdNrv4EDByIkJAS7d+9Gjx49cP36dQwePFinaW58fDySk5NhYWGhs69SqZRqePOL9hyWlpbSsqioKNSsWTPLuXNK9LRJakxMDFxcXHI8V1RUVJYEOrfj6uO///7Dt99+i9mzZ+Pzzz9HUlIS/v77b2l9y5Yt4eLignXr1qF169ZQKBRIT0/PMsJ1VFRUlmOrVKos3QW16tati9jY2CzLY2Njc61RftW+ffswbtw4vba1traGnZ2dXtsSUcmU/Shh/99nn32W5wN27NjxrYMhIiIi0tYwX7p0CdOnT8eQIUOk5sOv1z7nxN3dHf7+/ggODsayZcugUqkwc+ZMab2Liws0Gg3WrVuns19MTAyCgoIAQOo7nR+io6MBZDaX1ia/AQEBOtskJSXhjz/+yPEYVatWhaGhIdauXatT+6tQKHD48GE4Oztnu16pVGLFihV6x6qtOX/12r/55htUqVIFn376aZZ1QGYFSmBgIBQKBWbNmoU///wTGzdulMqtTJkysLW1xfr166FSqaT9hBD47bffdOJ9laenJyIjI6FQKKRld+/eRWJiIry8vN54Ldr+6G3atHnjti9evEBMTIzeNeREVDLlmkA7Ojrm+YCvNisiIiIiyouyZcvi/v37UCqVOHnyJAAgIiIC6enpOHTokDRgqbZvrUajyba59fr16xEWFoauXbuiYsWKMDY2RmhoqJS8tWrVCrVr18aCBQuwYMECnDt3Dtu2bcOUKVPg6ekpxZKQkIBnz57h8uXLeW7WHRMTI/1/zZo16NixI5o3bw4XFxe0adMGmzZtgp+fH/755x8EBwfjm2++Qffu3QFASihfPae5uTmGDBmCY8eOYeDAgQgODsbu3bsxfvx4NG3aFObm5ujfvz9OnDiB0aNHIywsDCEhIRg2bJg03VN216C9J9qkWFtLf/PmTcTFxeHBgweIjY3FzZs3kZiYiJiYGJw6dUq6xqSkJNy/fx/Dhw/Hl19+ifr168Pe3h4RERE6tcejRo1CZGQkvL29cfz4cZw4cQIjRoxA48aNpaR94MCBOq0f+/btC1tbW2zbtk2nbBs2bCglupGRkWjevDn++uuvLNe2d+9eeHh4ZGkhGRwcjOHDh+PcuXMAMkdFnzZtGiZPnqx303AiKpneOIgYERER0fsyaNAghIeHo1OnTpg0aRI8PDwQEBCAo0ePwtfXF97e3ti6dStWr16NOnXqIDw8HHFxcVi9ejU6d+6MihUrAgDs7e1x48YNXLt2Dc+ePYNSqYQQAvXr18eePXtgZGSEdevWwc/PDytWrMD69evh4eGBhQsXwszMDGq1Gr169cLu3bvRpUsXjB8/Hh9//HGeriUwMBAZGRmIj4+HnZ2dTg340qVLMXXqVOzYsQNBQUHS6NjlypVDRESENLDZ8uXLMWDAANSvXx8AMGXKFBgYGGD79u04d+4c3N3d8eOPP8Lc3BwA4O/vDyBzhOsjR46gQYMG+OGHH1CrVi0kJSVh7dq1ADITy4YNGyItLQ0HDhwAkDli94gRI9C8eXM0atQIY8aMQf/+/eHr64tJkyZh/vz5aN26NXr37g1fX18MGTIEY8eOxbJly2BsbAwTExOsWLECjx49QmpqKjIyMmBiYoItW7agcePGGDlyJF6+fInNmzdj6NChqF27NiZOnIiWLVtK9yUpKUnnHlpYWCAoKAizZs1CQkIC0tLSkJycjI0bN0rN7BUKBRISEvD8+fMsZbB37174+PhkWW5lZYXIyEh4eXmhS5cuKFeuHPr168epWInojWQipzYzxVh2fWneB1tbW53RKKn4YlmXHCzrkqMwyzo1NRWlSxevKasKkhACkydPxtChQ6WRpoUQeP78OZYvX46uXbtKU1dl510HEVu4cCEWLVqEhw8fvvUxPjTHjh3DlStXMGbMGGlZWloarl69igMHDkiJfVHzLmWtz/vSwcHhrY5NREUXa6CJiIioWAkODsaFCxcwd+5caZlMJoO1tTWcnZ3fuolujx498OjRo1y3ya4ZcXGnVCrh4+ODrVu36iw3MTFBzZo1cf369UKKjIgo/zGBJiIiomIlPT0dkZGRWLt2LTw9PWFpaYknT54gJCTknUZZ3rVrl17bZWRkAMh9dOniRNsPfeHChfD19UWVKlXw8uVLXLp0CWfPntV7BGwiog9BroOIEREREX1ovLy84O/vj8DAQDRu3BiffPIJZsyYAVdXV/Ts2bNAz33s2DHs378fADB37lxcu3atQM9XFJiammLLli1QKBTw9PREnTp1MHDgQDx8+BATJ058p+mziIiKmjz1gf73338BAAYGBqhVqxaAzBEaV6xYgcTERDRp0gRfffVVkf+2lX2gqaCxrEsOlnXJwT7QJce79oGmDwf7QBNRXuWpBnr69OkIDQ2FpaUlgMyREufOnYtHjx6hadOmSEtLw59//lkggRIREREREREVpjz1gW7UqBFGjRol/b5u3Tq8fPkSAwcORJcuXQAAAQEB+RshERERERERURGQpxpoFxcX6f+XLl3CmTNn4ODggE6dOknLX5+onoiIiIiIiKg4yFMC/fDhQzx//hx3797F8uXLIZPJMGzYMBgYZB4mIyMDFy9eLJBAiYiIiIiIiApTnppwN23aFKNHj4ZarYaBgQEGDRqEunXrQq1W4+rVq9i5cyeio6MLKlYiIiIiIiKiQpOnBPqTTz7BkiVLcPfuXVSqVEkaWfDp06d4+fIlOnTogA4dOhRIoERERERERESFKU8JNADY2dnBzs5OZ1mFChVQoUKFfAuKiIiIiIiIqKjJcwL9OpVKhQMHDuDZs2do0qQJateunR9xERERERERERUpeUqgfXx8YGVlhTZt2qBt27YQQmDu3Lm4du0aTExMcOTIEXz77bf49NNPCypeIiIiIiqBQkJC8Pvvv2PXrl16bX/y5Ens3LkTtWrVwtWrV9GmTRt4eXkVbJBEVOzlKYGWy+Xw9fWFubk5AODAgQO4du0aGjRogO+//x5KpRKrV69mAk1ERERvTaFQFJlpMYtSLO9Teno6ZDIZDA3fubHiO3vw4AFOnDiB+fPn4+nTp3rtc+LECYwcORLHjx9H+fLlkZKSAnd3dxgaGqJ79+4FHDERFWd5msbKzc1NSp4TExOxZcsWGBsbY+TIkTAyMoK5ubk0sBgRERFRXr148QL+/v6FHQaAzCTy+++/L+wwCsXPP/+MR48eFXYYAABHR0f0798fLVu21Gt7jUYDPz8/tG3bFuXLlwcAmJmZwcvLC9OmTYNSqSzIcImomMtTAp2RkQEAEEJg5cqVSEtLQ48ePVC2bFlpm9jY2PyNkIiIiEoEhUKBkSNHIioqqrBDQUZGBiZMmICIiIjCDuW927RpE1auXFnYYWQhl8v12u7q1au4e/cuGjZsqLO8YcOGePr0KUJDQwsiPCIqIfLULicjIwOzZ89GUlIS7t+/jzp16qBHjx7S+gMHDuCff/7J7xiJiIgoG6GhoXo3aX1f7Ozs4O7u/lb7HjhwADdv3gQATJ06FW5ubqhUqRLWrVuHevXq4erVq1Cr1Zg9ezbMzMxw48YN7NmzB9evX8f//vc/jB49GkZGRjh27BhkMhm2bNmCW7duIT4+Hjt27IBcLkeHDh3g7e0Nd3d3KBQKLF26FC9evMCdO3eQkpKCadOmwc3NDaGhobh06RKSkpIwdepU1K5dG3379n3jNdy+fRs7d+7Enj17EBAQAD8/P1y4cAFOTk6YPXs23NzcAGR+plq2bBkeP36MBw8e4OHDh5g4cSLat2+PuLg47Nu3D0FBQViyZAl8fX1x/fp1BAcHo1q1aggPD8ehQ4dgZWWF06dPw83NDWPHjoVMJgMArF+/Hjdu3EB8fDwiIyMxcuRI9OvXD4mJidi6dSv27t2L4cOH4/Lly9i2bRssLCywZMkSNGnSBPfu3cO+ffsAAIsXL4adnR18fX2hUCgwZ84c2NvbQ61WIzQ0FH5+fnB1ddW59lWrVsHGxgabN2/G06dP0bBhQzRr1gy+vr4AgL179+LUqVN4+fIlrly5Ai8vL3z33XdS7N26dYNcLte7n3N2rl27BgCoWLGiznJHR0cAwOXLl9GuXbu3Pj4RlWx5SqD79++P3bt349atW2jUqBF69OgBuVyO6Oho7N69G0lJSahbt25BxUpERETFWM+ePbFp0yYAwIwZMwAArq6u6NOnDwYPHgy1Wo2PPvoIVatWxZgxY2BqaoqwsDDcv38fV65cwbRp0xAWFgaZTIZDhw5h8eLFOHPmDGQyGTQaDYKCgjB16lRUqlQJADBy5EhMmDAB9erVAwB4e3vD29sb586dg4eHB3bv3g2FQiHFog9TU1Pcvn0bUVFRCAkJwa+//oqoqCj4+PhgyJAhCAsLg42NDfz9/dGyZUt8++23AABfX18MGzYMR48ehaWlJaKjo3Hx4kXs3LkTU6ZMwcaNG2FtbY3g4GBs27YNgYGBkMvlqF27NoYOHYpq1arB09MTy5cvh1wux+zZswEAy5Ytw4QJE+Do6IjmzZujadOmmDlzJnbu3Ak/Pz+MHz9eatp84MABODs7o3v37jhx4gTGjRsn3aslS5Zg7969OH/+PAAgLi4OPj4+CAsLAwCkpKSgX79+WLx4MZo3bw43Nzf07dsXrVu3xvjx4wEAwcHBOHfuHObMmQMA2LNnD77++mvY2dmhX79+AABra+u3e/G84tmzZwAym22/qnTp0gBQ5L50IqIPS54HEfv888+zLK9cubL0B4CIiIjej7et6f2QDBw4EC1atAAAyGQymJub4/79+wAAJycnODs74/79+/D29gYAtG/fHgDw119/wd7eXqrZ9PLyQlBQEOLj41GpUiVERETg9OnT2L59O7Zv3w4AMDExQfXq1REdHf3WFQIVK1ZErVq1sH//fvj4+EAmk6FChQrw8/ODj48Ptm/fju7du2PDhg2Qy+U4ffo0ACA5ORn169fHvXv30K5dO2la0M8//xwuLi5wdXVFRkYG/P398csvv0jNmTt06CAlrUqlEkuXLkXHjh0xdepUAMDLly/h6uqKmJgYyOVy2NjYAAC6dOmCGjVqAABatWqF1atX53pdLVu2hJWVlfS7hYWFVA4AcPbsWTx8+BDlypUDkPnaLFeuHOLj46Vt5s2bh5o1a0qxqVQquLq6Ii4uTtpmw4YNb3HXdRkbGwOAVPZaBgYGOuuJiN7GWw2t+PLlSyQlJUlNYcLDw1GhQgU4Ozvna3BERERUso0bNw6xsbEICAiAoaEh0tPTodFodLYpVapUlv3S09Px4MEDCCEgk8ng6OgImUwGJycnAMD58+dhbm6ebe2yoaEh1Gr1O8f+agKn/RIgKioKFy9elAa6yi72V5mYmEj/v3nzJp4+fYoKFSronKNXr14AMvv+Jicnw8fHB9WrV9c7TmNj4zcOrNWiRQs0adIEQUFBSExMxJ07dyCEkNanp6cDAKKjo6VzOzg4oEqVKgAyB5+9e/cuZs6cidatW+sd29uwt7cHAKSmpuosT0lJAQBpYDEioreR50HE1qxZgxEjRmDRokXS8k8//RT79u3Dzp078z1AIiIiKrlWrVqF8ePH44svvsCgQYN0EsrcDBw4EM+ePcPu3bsBANevX8fgwYN1Bj6Nj49HcnJyln0LYpRmCwsLAIClpaW0LLvB0nI7tzZJjYmJyfVceT2uPv777z906tQJjo6OGDp0qFRDrtWyZUu4uLhg3bp10Gg0SElJQXp6Ovr06fPG2FQq1TvF9jptk/zXB7Z9+PAhALC7IRG9kzwl0Dt37kRISAiEEDojIRoaGuLrr7/GyZMnER4enu9BEhERUcmhrWG+dOkSpk+fjiFDhkjNh1+vfc6Ju7s7/P39ERwcjGXLlkGlUmHmzJnSehcXF2g0Gqxbt05nv5iYGAQFBQGA1Hc6P0RHRwPIbC7t4uICAAgICNDZJikpCX/88UeOx6hatSoMDQ2xdu1andpfhUKBw4cPw9nZOdv1SqUSK1as0DtWbc35q9f+zTffoEqVKvj000+zrAMy+34HBgZCoVBg1qxZ+PPPP7Fx40ap3MqUKQNbW1usX79eJ2EWQuC3337TifddVa9eHbVr18aFCxd0ll+4cAH29vZ6T4dFRJSdPCXQJ06cQL9+/RAYGCg1j9GSy+VwdXXF3r178zVAIiIiKjnKli2L+/fvQ6lU4uTJkwCAiIgIpKen49ChQ0hMTMTjx4+lvrUajSbb5tbr169HWFgYunbtiooVK8LY2BihoaFS8taqVSvUrl0bCxYswIIFC3Du3Dls27YNU6ZMgaenpxRLQkICnj17hsuXL+e5WferNcVr1qxBx44d0bx5c7i4uKBNmzbYtGkT/Pz88M8//yA4OBjffPMNunfvDgBSQvnqOc3NzTFkyBAcO3YMAwcORHBwMHbv3o3x48ejadOmMDc3R//+/XHixAmMHj0aYWFhCAkJwbBhw9ChQ4csx9PS3hNtUqytpb958ybi4uLw4MEDxMbG4ubNm0hMTERMTAxOnTolXaN2dpbhw4fjyy+/RP369WFvb4+IiAidWuBRo0YhMjIS3t7eOH78OE6cOIERI0agcePGUtI+cOBADB48ONv7+XqcWkqlEt26ddOZP/z777/HoUOHpAHDUlNTsWPHDowZM0bv6bCIiLKTpz7QJiYm0oP99YEZgMwHmrZ5DBEREVFeDRo0COHh4ejUqRMmTZoEDw8PBAQE4OjRo/D19YW3tze2bt2K1atXo06dOggPD0dcXBxWr16Nzp07S1MX2dvb48aNG7h27RqePXsGpVIJIQTq16+PPXv2wMjICOvWrYOfnx9WrFiB9evXw8PDAwsXLoSZmRnUajV69eqF3bt3o0uXLhg/fjw+/vjjPF1LYGAgMjIyEB8fDzs7O50a8KVLl2Lq1KnYsWMHgoKCpNGxy5Urh4iICGlgs+XLl2PAgAGoX78+AGDKlCkwMDDA9u3bce7cObi7u+PHH3+Eubk5AEhJ5J49e3DkyBE0aNAAP/zwA2rVqoWkpCSsXbsWQOZ0Ug0bNkRaWhoOHDgAIHPE7hEjRqB58+Zo1KgRxowZg/79+8PX1xeTJk3C/Pnz0bp1a/Tu3Ru+vr4YMmQIxo4di2XLlsHY2BgmJiZYsWIFHj16hNTUVGRkZMDExARbtmxB48aNMXLkSLx8+RKbN2+WmoFPnDhRp0Y4KSkpy3188uQJDh48iGPHjgEA5syZg06dOklTaGk0Gjx9+lRnwLKOHTti4cKFmDp1KurVq4f//vsPY8eOxYABA/JUhkREr5OJPLSZmTVrFn744QcAwPz58zFhwgRpnUKhwLhx45Cenp6lSVJR83qfmPfF1tZW5+FOxRfLuuRgWZcchVnWqamp0hQ89GZCCEyePBlDhw6VRpoWQuD58+dYvnw5unbtKvWTzc67DiK2cOFCLFq0qERVKhw7dgxXrlzBmDFjpGVpaWm4evUqDhw4oFM7XJS8S1nr8750cHB4q2MTUdGVpxroevXqYceOHfjiiy90aqCjoqKwcuVKJCYmlogpNYiIiKjoCg4OxoULFzB37lxpmUwmg7W1NZydnd96FOYePXrg0aNHuW7z119/vdWxP2RKpRI+Pj7YunWrznITExPUrFkT169fL6TIiIjyX54S6K5du2LZsmUYPnw4hBDw9/dHYmKi1L+kfPny6N+/f4EESkRERKSP9PR0REZGYu3atfD09ISlpSWePHmCkJAQWFtbw87O7q2Ou2vXLr22y8jIAJDZZ7ckzDms7Ye+cOFC+Pr6okqVKnj58iUuXbqEs2fPYty4cYUdIhFRvslTAm1gYAAfHx+cP38eJ0+eRExMDORyOerWrYsGDRqgffv2ek8vQURERFQQvLy88OzZMwQGBmLmzJmwsLBA06ZNMXr0aDRo0KBAz33s2DHs378fADB37lz07NkTH330UYGes7CZmppiy5YtmDt3Ljw9PaFWq1GrVi307t0bEydOhIFBnsasJSIq0vLUB7q4YB9oKmgs65KDZV1ysA90yfGufaDpw8E+0ESUV3n+SvDAgQPYvHmzzrKbN29i7969+TZXIhEREREREVFRk6cE+tChQ1i3bh3279+v821djRo14OzsjJ9++kmao4+IiIiIiIioOMlTAn3kyBG0b98es2bNgqGhbvfpunXrwsjICLt3787XAImIiEq6EtjbiqjI4/uSqGTKUwLt4OCAoUOHonLlytmut7OzQ2hoaL4ERkRERP+HH9aJig6+H4lKrjwl0HK5PNf19+7dQ2Ji4jsFRERERLrkcrk0NRIRFb6MjIwsrTGJqGTIUwJtaWmJq1evZrtu//79uH37do6100RERPR2SpUqhbS0NKjVatZ8ERUiIQTUajXS0tJKxBzfRJRVnr468/Lywg8//IAaNWqgfv36MDc3x5MnTxAWFoYbN25AJpPhyy+/LKhYiYiISiSZTAYzMzOoVCoolUppGRWMUqVKSfeZire8lLX2yytDQ0OYmZnxPUhUQuUpgTYzM8PUqVOxatUq/PrrrzrrrKys8NVXX8HV1TVfAyQiIqLMhLlUqVIoVapUYYdS7HF+95KDZU1EeZXnzhtly5bF5MmTkZCQgHv37iEtLQ02NjZwcXFhXxAiIiIiIiIqtvKc8WZkZCAlJQU2NjawsbEBAERHR0OpVDKBJiIiIiIiomIrT4OIxcXFYfTo0RgzZgzUarW0vHz58ti4cSMuXryY7wESERERERERFQV5SqA3b96MFy9eoGHDhjq1zcbGxvjqq6+wbt063L59O9+DJCIiIiIiIipseUqgExMTsXz5cnz77bdZ1hkZGaFOnTrYvHlzvgVHREREREREVFTkKYG2t7eHtbV1juvT09Nx586dd42JiIiIiIiIqMjJUwKdnp6O9PT0bNclJSXhwoULMDIyypfAiIiIiIiIiIqSPCXQrVq1woIFC/DkyROd5VevXsWMGTOQmpqKpk2b5jmI8PBwrFy5Env27MGiRYtw6dIlvfd98OAB+vfvn+dzEhEREREREeVFnuadcnV1RXR0NMaOHQs7OzuYm5vjyZMnePHiBQCgatWq6Nu3b54COHr0KLZv347FixfDxMQECQkJ+N///gdfX1/UqlUr133VajV+//33HGvFiYiIiIiIiPJLnmqgAaB79+6YOXMmateuDbVajdKlS6Nu3boYPHgwZs6cidKlS+t9LIVCgQ0bNqBly5YwMTEBANjY2MDV1RVr16594/5//fUXatSokddLICIiIiIiIsqzPNVAa1WrVg3VqlXLsjw1NVVneqs3uXz5MlJSUrIkwS4uLggPD0d0dDQqV66c7b6RkZEwMjKCs7Nz3oInIiIiIiIiegt5roHOzdmzZ/M0Cve9e/cAALa2tjrL7ezsACDHY6WlpeHQoUPw9PR8y0iJiIiIiIiI8iZPNdA+Pj45rtNoNEhMTETPnj2zrZ3OTnJyMgBIzbe1tL8/f/482/22bNmCL7/8EgYG+uX/hw8fxuHDhwEAc+bMyZKwvy+GhoaFdm56v1jWJQfLuuRgWZccLOuSg2VNRHmVpwT66dOnua63t7eXapX1Ovn/b+4tk8l0lmt/z645eEREBBwcHFC+fHm9z/PZZ5/hs88+k36Pj4/Xe9/8ZGtrW2jnpveLZV1ysKxLDpZ1ycGyLjkKuqwdHBwK7NhEVDjylEB36tQJAwYMyDaxjY2NxY4dOzBq1Ci9j2dtbQ0gs0n2q7S/ly1bVmf5ixcv8M8//+Cbb77JS9hEREWeSqWCsbFxYYdBRERERLnIUwLdqlWrHAcJc3BwQM2aNbFp0yYMGTJEr+NVrVoVAJCQkAAnJydpufabwCpVquhsf+HCBYSHh+PMmTPSMo1GAwDw9vaGnZ0dFi1apPf1EBEVBRkZGUhPT4ehoaHeXVOIiIiI6P3LUwL9phGvrayssG3bNr0T6Hr16sHCwgK3bt1Cw4YNpeW3bt1CtWrVsjR7adKkSZa5of/55x9s2rQJ8+fPh1wu1/NKiIiKjoyMDAghkJ6ejlKlShV2OEQSIUSWblZEREQlWZ4S6H///TfHdc+fP8eWLVvyVHsil8vh5eWFffv2oWfPnjA2NkZiYiIiIiIwZswYAEBAQADu3buHH3/8EaampjA1NdU5hpWVFQDkqU80EVFRolarAQDp6ekwMjJiLTQVCRqNBmlpaTA1NWUSTURE9P/lKYGePn36G7fp0aNHngLo3LkzDA0NsXLlSlSuXBl37tyBj48PGjVqBCAzMX/+/DkyMjLyNMc0EdGHQKPRSF1RgMy+0K/PTED0vgkhkJaWBo1GA6VSydckERHR/5enjNTMzAwff/wxjIyMsqwzMTFB7dq14ebmlucg2rdvj/bt22e77n//+1+u+7Zu3RqtW7fO8zmJiIoCbe3zq79nZGSwSwoVKpVKJX2xo1arOcgdERHR/5enBLp///5o27ZtQcVCRFTivJ5AA5lNuZlAU2HRDmr3KpVKBQMDA7YEIyKiEi9PHe2YPBMR5Z/Xm29raWuhid43IQSUSmW265RKJV+XRERU4r3TV8np6en4559/8OzZM1SrVg1169bNr7iIiIq93JIRlUqVZdBEooL2atPt12mTaw4qRkREJVmuCfSyZcuQlJSExMREGBsbo2PHjmjZsiWAzLmaZ86cicePH0vbN2vWTBo9m4iIcpdd822tjIwMqNVqNpml90atVmdpuv067cjcJiYmTKKJiKhEyvWT2YkTJyCTydC3b19069ZNmlpFpVJh1qxZePz4MeRyOerXr4/09HSEh4ejZs2a6Nix43sJnojoQyWEeGNz2PT0dCbQ9F4IIaBSqfTaVttHmoOKERFRSfTGT2Y9evRA9+7ddZbt2LEDsbGxMDExgb+/P6pXrw4ACA0NRXBwMBNoIqI3yK32WYu10PS+5NZ0OztqtZoJNBERlUi5DiImk8ng6empsywuLg779u0DAAwdOlRKngHA3d0daWlpBRAmEVHxou9gTGlpaVAoFHol3ERvQwiR59eXRqPha5KIiEqkXKs1zM3NUbp0aZ1l69evh1qtRp06deDu7p5lH34jTUSUO32ab78qIyNDmhvayMgoS420EAIajQYZGRnQaDQQQuRLnIaGhjAyMsqXY1HR9bavGbaOICKikijXv3wmJiZ48uQJ7O3tAQAnT55EREQEgMw5oV+nVCoRFxdXAGESERUfGRkZb5WwaBNpAwMDGBkZSdNg5WfS/Pr5ZDIZk6RiLi9Nt1+lfR1zMDEiIipJcv1U9PHHH2PWrFno0KEDHj9+jJCQEACZTbVfbbqtFRwc/MYRPImISrp3bfqq0WhynKs3vymVShgYGEiDSFLx87ZzO2ubfrOVAhERlSS5fiLq27cvZDIZ/vjjDxw8eBAajQY1a9bE0KFDs2x76NAh7Nixo8ACJSIqDvLafLuwCSGQlpZWIDXcVDS8bQ008O5fBhEREX1o3tgHev78+fjnn38QHx8PR0dHNGrUSKe5VmJiIn755Rc8e/YMDRo0QIUKFQo8aCKiD9XbNt8uTNoabxMTk8IOhfKZtv/829L2u2cLBSIiKine2LHNyMgILVq0yHG9paUl/Pz8IJfL8zUwIqLi6EOqfX6VWq2GSqXiQJHFTH68HjmlFRERlSTvPDIME2ciotxpB/rSzuv8oVKpVDAwMOCgYsXIu9Q+azGBJiKikoSfgoiICkB6errUvDU/kpSiQqlUQiaT8cvTYiI/aqC1c0LzixUiIioJ2GmJiCifZWRkQKlUQq1WF6vkGcjsM/u+RgCngpdfr88PuWUFERFRXjCBJiLKZ8U9mdBoNJyysBjIz/nDP8TB8YiIiN4GE2gionz2oQ4UlhcqlYoJ0wcuP1+n2jmhiYiIijsm0ERE+Ujb77m4E0JApVIVdhj0DvL7dcoEmoiISgIm0ERE+agkJRHagdLow5TfZVdSvjwiIqKSjQk0EVE+KmkJJWuhP0xCiAJJdkvSF0hERFQyMYEmIsonxW3KKn186HNbl1QF9UVPeno6+8YTEVGxxgSaiCiflNREMr8HFOOIzgWvoL7o4TRnVNCEEJwFgIgKFRNoIqJ8UlITaI1Gk69NuVUqVYm9l+9LQbaUUKvVJa4rA70/KpUKSqWSSTQRFRom0ERE+aAkNt9+lVqtzpfr1yZfTKALVkEnuKyFpoKQkZEhJc4qlYpf1BBRoTAs7ACIiIqDkv5BTggBhUIBmUyW7XpTU9Mc171K++FYO6KzgQG/581vGo2mwJvIazQapKenw8jIqEDPQyXH690DhBBIS0uDqakpnxNE9F7xiUNElA9YY/p/Iztn96NPE+/Xm/6yiWbutDX1eU2G31dLifzuG08lm0qlyvLa1SbRfJ0R0fvEGmgionckhCjxNdBvkp6eDrlcDkPDnP/svJ5k857m7NU+oDKZDAYGBjAwMIBcLodcLs+1tv993VchBFQqFUqVKvVezkfFl1qtzvELNY1GA6VSCRMTk/ccFRGVVEygid4gp35WMpkMpUqV0qtZKhVv77v2WQiBhIQElClTBnK5/L2e+12oVKock7vs+lBrNBqo1epck+6SRpssvPpM0n6B82r/0FKlSmVpPp2hEUhJ1yBNkZ7lXpsYymBokP/PsvT0dBgaGn5Qr1MqWvQZ2V2tVkOlUsHY2Pg9RUVEJRk/lRDl4k1NT4UQMDU1fY8RUVH0vmtKb9y4gdOnT8PS0hJubm6oWLHiez3/28qtpiin9xkT6P+jVquhVCr1aq6qTTheTaJT0zVQqTOgUqvx+iEMYABD44L5MlClUvE5SW9N39e8SqWCgYEBnxdEVODYB5ooF2/61jsjI4OjzZZw77v59qNHj3DmzBmUL18eAHDw4EEcO3YMqamp7y2Gd6FWq7PU2KenZ60R1eKc0JmUSmWe+3q+2sxblaGBKkMDITRZkmcAUGZooNEUzH1+tWacKC+ye17khv3uieh94Nd0RDnQdy7T9PR0GBgYcLTZEur/sffe4XWk933v551yGjoJFgAkAbACLGAnl9wll7tLbt+1pLXkItmxbCd2HN049dpO4hvf+KY7cWzlxtdxbCUqsayy0opa7Uoit5HL3kmQIAiSANhAEiRRT5uZ971/DOagnQqAZXfn8zx8pMWZMzNn5p133l/7/iYi4jRR+vr6eOeddygrK2P79u1omsbp06c5deoUV69eZc2aNTQ2Nj7yirSJRCJVs6uUympcKaWwbfsT/XxNpuetF72LSndMSCezgFhCKsL3IY0b8BW5fQrGy7goBC9rzK+79/HxuZ/4BrSPTxo88Zt88VLH/Dq/jwZT2R7pQdU/W5bF7t27UUqxffv2VK3f6tWrWbBgAfv37+fgwYNcuHCB6urqKTlmRUUFixYtmpJ9jcR7vkKhUF79oz/pBnQhGQ5SSi5cuMD06dOprKwEoDcaRwoDwzRxslxry1aER6wK7ty5w82bN2loaJj08yKlxHEcf44cwm/Rlhlvfpio08ibL/zr6+Pjc7/wDWgfnzRkSylNh9+P8qODF9WIRCKTFoDzoqP3G6UU77//Pj09PTz33HOUlpaO+ry0tJRnn32Wjo4Ojhw5QktLy5Qc0xOmamhomPT+xuKp6uazSP4k94T22oDlQ1dXF/v27aOnp4eSkhI+85nPIIRGwlYolUQBSmY2xh2lsKRE2TbHjh3j3LlzbvQ6GmXdunWT/i22bfsGNO49jcViBINBv153DFJK4vH4pFqteaJjft29j4/P/cKfuX18xiClnJDne6QR7fNo4tWsewusybY9eVD1uceOHaOzs5PHHnssY3RZCEFdXR11dXVTckwpJbt27WL//v2Ul5enaq6nkkLSMy3L+kSmZebjoInFYhw+fJi2tjaKiopYuXIlJ0+epKWlhfpFjakxauXIqlFK0XrhEqeOHSYWi9HY2Iht25w6dYqKigoWLFgwqd/ityVz8eageDxOKBTyjeghChHJy4XXI92/tj4+PvcDf2bx+dgy0YjVZERIPJVhn0cPz2j27q0XAZ1MavCDiD5funSJkydPsnjxYhobG+/78Tw0TWPbtm3s3LmTd955h1deeYWSkpIHdvyxfFKNr2xjTEpJa2srR44cwbZtmpqaWLlyJYZhcPv2bU6cOMGMOfWYebT26e/r5cThg3Tf6qKyspIdO3ZQWVmJ4zj09/ezd+9eysrKUmnhE8FvSzZeW8M3ol0mU+efiWxt83x8fHwmwycvH87nE4GXdjg4OEg8HseyrLwW4IUqfmbaRyH10z73Hy/aMzYtMJlMTjhV8H6rbyuluHjxInv27GHmzJls2rTpgS8EA4EA27dvT0WjH6aSsmd8fZLIlr4tpeTtt99m3759TJ8+nU996lOsW7cO0zQRQrB+/XoSiQSt587kPM7ltlZ2v7WT3nt3WbVuI888/2LKUNZ1naeeeopwOMyuXbsmrfb+SXWEQGZtjXg8/okb2yO5H8YzTDybzMfHxycXvgHt87HEW6R5NaqJRIJYLMbg4CCxWIxkMjlOPblQ4bBsJBKJSdVw+UwtyWQy7cLdi0pPhPupvt3T08Pbb7/N+++/T0VFBc8888xDqx0tKyvjqaeeoqenhw8++OChtoj5uBgZySxK2CPxfm/MlgwknFH/Wi+109XVxep163l6x7OUlpaN+m5RWQVz6+bTdv4csehgxmPcvHGdE0cOMnPWbHa8/DPUL1qCLcWo+xwOh9m+fTvJZJLdu3dP6j58XO7hRMimreE5ej9p5KuDMJn9++9iHx+fqcY3oH0+lmSKcnhRw2QySTweZ3BwkGg0SiKRmFQ0Mt1x/FTuR4NcCzRvPExkv1ONbdscOXKE73//+9y5c4fNmzfz8ssvP/S6+pqaGjZs2EBHRwfHjx9/aOfxcegJbUvFQFJi59Fz2XEcLCmJWxJLqlH/2lrPE45EqF2whKil6E049MUdokmJpQRxW9G4YhUoxdlTJ9Luf6C/j8MffkBpaRkbHn+SYMgdZ1K5xxjJtGnT2Lp1K7dv32bfvn0Tvg8PSnjvUSOfaKj3HvIyocb++7gx0bm3EKbSMe7j4+Pj8ckuuvH52FJo25f74aH2FgeBPOoPfe4P+fYRtSwLwzDyrpn3VKEz4RkXhaRcd3Z2cuDAAQYGBli4cCHr169/6IbzSJYuXcrdu3c5ceIE5eXlzJ07N+/vCiGmpMbz49ATOmFLlFIMJh1Kg5nrM5VSWLZNNDneUB3o7+NW1w0aV6xCjBizjlJIqRAiiKZJioqLmb+4gbaWsyxsWEpZeUVqWyuZZP8H7yI0wWNbn8YYc02TtiIwJumhrq6O1atXc/z4caZNm8by5csndA0cx/nE1fzmq62RzdgzTfNjI6TnqW0/CIeY54D4pI05Hx+f+4c/m/h87Mhl3DxICjXMfKaOQgTdRiqo52P0ZosGXbt2jQMHDgDw2GOPUVNTk3Vf/f39HDx4kM7OTsrLy3nxxRfvi+L1ZBFCsHnzZnp7e3nvvfcK/n59fT0bN24kEolM6jw+yga0UoqkMyRiJxUxWxIx06fm27ZNzFLINAbG5bZWV3V9wcJxn5lmwO1Jbxg4jsOSpSvouNhG88ljbH7yGfc8pOTw/j0M9vfxxNM7KCouHrcfSyocqdC10c/DqlWruHfvHocPH2bWrFnMmDGj4Otg2zaBQOCB1fQ/bONpqiLIXgT7o25Ee/Ptg8wm+SQ6bXx8fO4f/mzi87HjURKp8RYKkzUafApjIgs0L8UyV8ZAphTUaDTKwYMHuXz5ckqt+sc//nFGw9FxHM6cOcOJEycQQrBu3TqWL1/+SDtbdF1nx44dXLx4saDnLBqN0tLSwtWrV1mzZg2NjY0T/p1SuhHcj6KybtIZbRDHLImpaZj6+N8STSTT1ko7tk3HpTaq5swjFB49pnRdT0WSPfXhQDDIkmUrOHPiKLe7bjBjdhXNp45z8/o1Vq3bSOXMzM6ahKOIjDGghRBs2bKFrq4uDh8+zAsvvFDwvfBKaR6EQeOV0zwsNeapTiH+OBjRvkaIj4/PRx3fgPb52PEoGdDgLvj9VO4Hy0QXaF7bk2yCXWPrcKWUNDc3c+zYMaSUrF69mhUrVgBw+vRpTp06Nc5wvH79Ovv376e3t5fa2lo2btxIcZoo4KNIMBhk6dKlBX+voaGBAwcOcPDgQS5cuMDmzZuZOXNmwfv5KKdxe9HnkQxaDmXaaOPOdiT9ifQRy2tXOrCSSeYvXDzq70KIUe2qhBDouo5t28xf3MDF1hbOnDzGglgDF841U79wMfWLluQ837Ax3llhmiarV69m//79XLlyhXnz5uX87WN5UFFh73l9WGPmfohYfZSNaK/G28fHx+ejjG9A+3ysUEo9kp7tdIaZV3s9kZRzIQSmaT40ZeZHmUQiMakFWiKRyJrKPXLft2/fZufOndy+fZuamho2bdpEaWlp6vPVq1ezYMEC9u/fnzIcy8rKUlHqHTt2FFRL/FGmrKyMZ599lvb2dg4ePMgPf/hDFi9ezLp16wiFQgXt66NoQEul0keUpSJqSYpGFBz3xS1UBpGxSxfOU1xSSuWs0ZFjMxAYF9XXDQPbttF1naVNqzl6YC9HD3xI5cxZNK3dkPOc1ZCYWCBNhHzJkiU0Nzdz5MgR5syZU3BGgWfY3u+osPe8Powxcz/bKH0UjegHIRrm4+Pj8yDwDWifjxWPskpvIpHANM2UwTxZQ99bGJumOeFIzkc1FTYTtm1PesHqZQykW5iO7P0ci8V4++23CQaDPP3009TW1qa9lqWlpTz77LN0dHRw8OBBOjo6WLVqFU1NTZ+4mjwhBPX19cyZM4fjx4/T3NxMZ2cn69atY9GiRXmPxQdlfE0lCTvzvBS3JQFdYOoacVsST6Q3Mnru3eXenW5WrF436rfrhpF2LOm6jqYJpFTMravnUus5EokEG554Mm+D15aMExMD0DSNdevW8c4773DhwgWWLMkezR7Lg0jjHvm8evPugyyRSCQS9/V99FEzov3Is4+Pz8eFT9bqzedjz6OWvj2SQkSt8sVxHBzHQdM0TNMsOMKSTCYxTfORrrvNF8dxpuz6Wpbl1pOOWdyP7P184sQJbNvml37pl3LuTwhBXV0dc+bMwbKsR0pd+2FgmiYbNmxg4cKF7N+/n71799La2srmzZuZNm1aXvv4qEWhc/V+HkxKigKCwaSDlOnnscsXzqPrOvPmL0j9TQiRtTxEN0xkMokQgieeeRYoTBE9W7ut2tpaZs6cybFjx5g/f37B9+N+p3GPdah64mUPgky956caT6jyo5CN9Ci/n318fHwK4aO/avbxGcEn9QXtGefRaDTviIcXrf04RAU8oaCpjPakazvjRXx6e3tpaWlhyZIleRt8AIZhfOKN55FMmzaNF198kS1bttDX18cbb7zBwYMH88oi+CiNW1uqnH2fHaXoS9g4tk26YWxZSa50XKZmXh2BwHDEMZea9UjDyjAKz1ZxZHolcHCN9/Xr1xOLxWhubi5ov3D/M4bGjpEHNWYcx7lvqdvpuN9p0VMxtz5K3TF8fHx8Josfgfb52HC/+jl/lPAM6Vw1pZ7BCR99p4P3m/O997FYjAsXLrBo0aKsxuzYazlyAXj06FF0XWf16tWT/wGfcIQQLFq0iHnz5nH06FGam5u5fPkyW7ZsydoC7GGk5E6UhJ3/vJTpebxy+RKObTN/hPCXruvoOQxiTdPQdX1Sz7lUCi2DkT5r1ixqa2s5deoUS5YsKchBdD/FvUamb3tIKe971HukM+/mzZt0dHSkNT6LiopYunTplIxfx3Hu2+9KJpMpIbRQKDThsompdF7cuXOHrq6uSan5+/j4+EwG34D2+djwUTcEpwrbtkkkElnr4kZGFD6qbYG8WuVCFma2bfPTn/6U7u5uTp06xbp161i8eHHGRZjXv9UYEmMCuHXrFu3t7axevdqPJk8hwWCQzZs3s2jRIj744APef/99PvvZz2Y1rh5kSu5EGdn7OR/SzWNKKS61tVI+bToV0ytTf883bdfrCT1RLAlGFjtl3bp1dHZ2cvz4cTZv3lzQvu+XAT2y3GLs3++nAZ1MJhkcHOTIkSNcuHABTdPSzi+ehkVjY+OUHXeqf9fISLrjOMTj8Qkb0VNhQCeTSY4dO8a5c+dQSjE4OMiGDbnF8Hx8fHymGt+A9nmkSCQSOVMSM+Eb0MNkquH1Phu5mJkKMR+lFLFYLLVYzNUKajJ4i7pCF2RKKT788EO6u7vZuHEjnZ2d7Nu3L1V7W1lZmfZ7iUQCTdNSC/JDhw4RDodZvnz5VPycB4ZybMhUIx4MIR6RGsoZM2awdetWdu7cyenTp1mzZk3GbT8KBrSVJQV6LJlSmu/cvkV/bw+rN2wa9XdNzy/65vZAJm1qeF7nlSOAXlZWxpIlSzh//jzLli2jrKws/307DtFoNDVnZDI4CyXT/HA/Behs2+b06dMcOXIEy7JYsWIFq1atGucgUErx1ltvcfz4cRYuXDglDoSpjq6nK4uZqBGdyZlRyLlcunSJQ4cOEYvFaGhoQErJmTNnqKioYNGiRRPet4+Pj89E8A1on0cGL1UMJqYq6hvQo0kkEqlesB5e1HYskzWgvRTqkWnUQojUYjjTYssztnMtxrx2X7ZtT/g+nzlzhosXL7JmzRqWLVvG0qVLU4uynTt30tDQwJo1a8aNPaUU8XgcpRSdnZ3cunWLzZs3P3QBq5FR8VwopSA2CJnS3JVERYofmSyEGTNmUFdXx5kzZ2hoaCASiaTdzhtzj3IaZzb17bE4Tvr7ebntPKZpMqe2LvU3IUDT8nN6uPNA/uNlLLnqt8Ft2dbW1saRI0d45plnCtq/dx+9+d+bFybqTE2Xvj3ys/sR9b516xa7d+/m9u3bzJ49m02bNlFRUZF2W692PB8nUSFMZRQ6mUymLYuZiBE9mXdzb28v+/bt48aNG0yfPp0dO3ZQWVmJlJL+/n4+/PBDysrKJtRT3sfHx2ei+Aa0zyOBbdspw85b3BSyKH6U21c9LLwIQigUSl3LTGIwtm1PuBWKl+ac7vieSnguvAVzb28vhw4dYtq0aaxatQpN06bk3l65coXDhw9TV1fHypUrAXcRu2DBAubMmcOxY8doaWmhvb2dDRs2MH/+/FGLQ2+Bf/jwYcrKyli8ePGkzmcq8IyLvMSK4rHMxjOAY0MiDqFHJyV93bp1dHR0cPz4cR5//PGM2z3KUehMvZ/ToZTCSfMc3bxxjWtXOpm/cDGGMWz05Ws8e+gFOFzSnptU6FpmgykcDrNixQqOHz/OG2+8Me5zIQRNTU3U1dXlPJ73vOVSGM9Ert851Qb0yZMn+eCDDwgGg2zdupUFCxbkNC5nzJhBfX19TidRIUxVFDqXCJrjOMRiMcLhcM7f6TksJsKlS5f44IMPMAyDTZs2sWTJktS7TNM0nnrqKXbu3Mnu3bt59dVXKSoqmtBxfHx8fArl0XXb+3xiGNt+aKTAVSH78BmPJ4SllMKyrKxRmYlcw4ncq3Qkk0n279/Pt771LTo7Ozly5Ajf/OY3uXz58qSN556eHt577z2mTZvGli1bxi34gsEgmzZt4pVXXqGoqIj333+ft956i56enlHbtba20tfXx/r16x96xNOL7AcCgZznomwLrDzuUTLupnk/IpSWltLY2Ehra+u4ezGSR1mNu9Do88ihHosOcnDv++x7bzdFRcUsbFg6anutwJR7ryf0RLHzeA6XL1+eMgbH/rMsi/fff59bt27lf8yJRsxzfG8qFaEHBgb48MMPmTt3Lr/4i7/I0qVLMQwjr+js2rVrkVJy7NixKTkXSN89oBDyndOllMTj8ZzbTdQBqpTi2LFjlJeX89prr6UVDAuFQmzfvh3Lsti9e/cjPRf4+Ph8vPAj0D4PlUzthwpVFfUN6Mx4Dopc18hxnILrlqeivUlnZycHDhxgYGCARYsW8eSTT9Ld3c17773HT3/6U2pra9m4cSPFxcUF7zuRSLBr1y50XWf79u1Zo06VlZW8/PLLtLa2cuTIEb7//e+zfPlyVq1alVrMzZo1i7lz507m504J3nMhhCAYDKZSzMeipIRYNP8dxwZRRaWPTCr3ypUruXDhAkeOHGH79u1pt/HS+x/FPrj5Rp8BbMtd/EspuXj+HOfOnEQpxdKmVSxsWDbu903EiaPrBlJOrL2S4wA5LrFpmhlFxOLxOD/4wQ8KihZOJKLqjYdcTFXmwr59+5BS8tRTT42ao5RSqZKZTOdTWlpKQ0MD586dY9myZRlTvgvBu2YTjbBnSt1Oh+M4JJPJrNdxokbt9evX6evrY+vWrVnFGisqKti2bRu7du1i7969PPnkk4/M/OXj4/PxxY9A+zw0vNrSTC/rfD3pE42efpLIR8Sl0IVOvkJeXr/psf96e3vZtWsXu3btwjAMXnzxRZ577jkikQjz5s3jc5/7HGvXruXq1au8/vrrnDp1qqD7LKXk3XffZWBggKeffjovA1zTNBoaGnjttdeYP38+p06d4vXXX2fPnj3E43HWr1//SCzORhoUuq5nXizH46AKiLRJ6aZ7PyByXctwOExTUxOdnZ10dXVl3O5RjDw5efR+Tm07FBHtvn2Td9/+IWdOHKVy5iy2v/gqS5Y1jTOe3frnCRjQk0jtzfe3ZCIUCrFjx46CooUTSf/NVE6Sz3aF0tXVxfnz51mxYsU44TRPfyIYDGYd56tWrcIwDI4cOTLp8/GwLGtCjk1vri70WFOd2QTQ0tJCMBjMK+V/3rx5rF27lkuXLnHq1Km075tsjgwfHx+fQvEj0D4PjVwvNE9UJleU4OP8UpRSTSrtsrBj5S/IlEmMbCRjW46kwzAM1q9fz7JlywiHw6OOHQqFWLNmDQsWLODAgQMcOXKEa9eu8dxzz+V1jocPH+b69es88cQTzJ49O+f2IwmHw2zdupXFixezb98+2tvbqaurGyVUI4QgFAo98MhnOpXiQCAwrt5cWUmwJ5BebyVQpokwpl4kzat1HykeF41Gsy72ly1bxrlz5zh8+DAvv/xyWmPkUZwDEgVEnx3b5uaN6+x7bxfhSBEbt2yjqmZuFvG93MJ76b838Z7QjlKTno9GRgs//PBDtm7dmvZ3dHV1sX//fsLhMM8//3xBQnFjDeOOjg4+/PBDnn766VHzwGTrhb2yE9M0s7ZS0jQN0zQzzpehUIimpiaOHj3KjRs3qKqqmtD5jCTfd6cXJffmjomktXtZZOnqoSeavj04OEhnZyfLly/P+/40NTVx9+5djh49ytGjR9Nus337dpYuXZr2Mx8fH59C8A1on4eC5xXOZzvDMLIunh7FxfNU4NgK21aYAR6YEe04Tl4L1Wyp22NbjixevDhtWxtN06itraW4uBjDMNJGUYPBICUlJWzfvp3W1lb27t3LgQMHcvaabW1tpbm5maVLlxYk+DW2vc3s2bP51Kc+RXt7O9XV1am/jzSeH7SAVaYFZTAYJBaLoZRyU7cnE0mORVFFJYgCo5zZarIzqa3rup41GmgYBmvWrGHv3r10dHSkjUg9imnc+fZ+dqN0Nm0tZwmFI2x/6dVRYmHpmEwNvmGaE54zbaUIMLm5yIsWHj16lIqKCpqamlKfxWIxDh8+TFtbG7quc+/ePbq7u6murs7rORvbCeDu3bu8//772LbNoUOHeOWVV0aNwYka0IlEgs7OTq5cucJjjz2Wsx+8aZrYtp3RQF22bBktLS0cPnx43DlOlGzvV89wllJOifim51AdK0Q50Sj/+fPnUUqxZMmSvL8jhGDLli1UV1endVbous6sWbMmdD4+Pj4+Y/ENaJ8Hjm3beQtPKaVIJpOEQqGM23wcDWgpXeMZwLYVgcCDM6Bz1c5lyxzo6elh//793Lhxg8rKylTLkWx4dbzp8ISyEokEixcvpre3l9OnT1NRUUFjY2Pa79y6dYt9+/ZRXV2dNTI0EikVjq2QEgIBECMcFpqmMX/+/FHnOzLybJrmhKN6EyHTgn/ktSIeLSx1eyxKuunfBSgDT9SZkMuABli4cCFnzpzhyJEjzJs3L60Badv2I2NA29JVrc5rW9umv6+fW13XaVi+MqfxDIULiI1E13U0XUMWECH3sCUEpuASe9HCI0eOUFFRwZw5czh//jxHjhzBtm2amppYunQp3/nOd2hpaWHGjBmYppnTsBw5juLxOLt27SIQCLBq1SqOHDnC5cuXRz3LXlu8QsZNIpEgmUxy+PBhioqKWL16dc7veGrimUS3PCfRnj17xp3jRPHenQ8Kz9ntXcuJpm9LKWltbaWmpobS0tKCvmsYRkaj2zTNCXea8PHx8RmLb0D7PFA8VehMdHd3E42OFz0yTZOamhoikUgq1cz730LTztKlITqOw40bNwralxCCqqqqKeu76aGUwraGF99KutFo3bj/RrSXcpdpoZqpvYlt25w4cYIzZ86kbTmSjVw1guZQxMy2bdauXcu9e/c4cOAA5eXl49IdBwcH2b17N0VFRTz11FM5jz/ScB7+LQozg8MiU9q2OYmoXiF46c+ZME0Ta3AAx56YUNQo7ATKDiDyHN8TjcQbhpHToaZpGuvXr+enP/0pLS0tadMwPVGoR6FGvRDxMMe2aG9rRQhB3YJFObfPp/75al+C24OZnRIyzXM8I2JQVZz9XufrFMiFFy3s6+vjvffeo6ysjO7ubqqqqti0aRPl5eUAzJ8/n4sXL7J+/XqCwWDWuXZkH2kpJe+88w6xWIwXX3yR6dOnc+nSJY4cOUJtbe2o5zeRSOTdQsrLnLp8+TLd3d1s27Ytb7Euz7jMNE8sWLCAM2fOcPTo0bS/U9M0qqurH3oHgGyMTOWeaPp2Z2cn0WiUTZs23Ycz9PHx8ZkafAPa54HhiYZleqleunSJ9957L+P3A4EAa9euzdswS4d0FI6j0EYYSNevX2f//v309vYWvL/q6mqeffbZKV3USAfGXiLbVgjt/qdye1GDdAs4r23J2Ps3UkV74cKFrF+/PmdKo4dpmnk5IILBYCq9fNu2bezcuZN33nmHV199lZKSkqGIvc2uXbuwbZvnnnse0wwgMyz4lXKdEumGopTgOApdH32ts9U851ocTxW5rpWyLELKQWbJ2CgEG0k+SZheFH4ieGJLua7dnDlzqKqq4ujRo1RXV6eMLA9PcGoq+/tOlGSe7atch5RNx6U2qmrmEs7DkBOaltFJMJBw+M7ZO3zQ3l/Q+QKEdMH/8+QMQkbmucyWKquDrRAMw+CZZ55h586dDA4O8uSTT47rv97Q0EBrayttbW00NTVlHP9j3y0HDhygq6uLrVu3MmPGDADWr1/Pj3/8Y1paWli2bFnqu57hnWvcjFTU9tLPGxoaCvrNI8ssxjLSSbRr1660329sbHykDcuRqdwTTd9uaWmhqKjokeh24OPj45MJ34D2eWAkEomMEd47d+6wZ88eZs6cyWOPPTbuc13XOXToEPv376e1tZXNmzenFkaFYA8ZTUopYrEYhw4d4tKlS5SUlOSt1Oxx8+ZNDh48yOHDh9m4cWPB55KOkanb487dcuuh73eELZ0Bnc750d/fz8GDB+ns7KS8vJwXXnghrQCOECLjOecbtRzZrikQCLB9+3Z27tzJrl27eP75lxDofLhvL3fu3OHJJ5+hKFKGlZx4tMy2FJoYTuXWNI1gMJjVSAwEAsRi91fBOpsBrRwHogOuQTpFY0QXAqlpWTMzvPTUyWAYRk4D2ota/uAHP2DXrl288sor41Iy8zGE7jeWo3DyjLzZlsW1zg6SyQT1i/Kr1de18WNQKsWHHf18u/kOUUvy3MIyNs4pIdswsG0beyhieztq81enejl8I86WudmNeEcpjCkaX8XFxXzmM59JCW2NpbKyksrKSs6fP8/SpUsziomNfLecO3eOlpYWVqxYwcKFC1Pb1NTUUF1dzYkTJ1i4cOGosZNMJnP2bvZ0H1paWujv7+f5558veNxrmoZhGBnrk+fMmcPP/uzPps3IOHv2bCr7Ip2mxKOCZVkTdib29vZy/fp11qxZ80hH2n18fHx8A9rngZBIJDJ6pGOxGLt27SIUCvHMM8+Mi156tUtz5syhubmZ/fv3s3PnThoaGli7dm3edU2O4xrPUkqam89z/PgxpJSsWrUqa3QjE5WVlQwMDNDc3ExFRUVBYlXpGJu6Pf5ztxfrFGeMjyPdwmfkAtVxHM6cOcOJEycQQqRUtNMteIQQ49S1J4onJielpKysjKeeeoqf/OQn7NnzAdOnTaej4zKrVq1lTs3kIxdCaCg0QkEzpVycC13XMQzjvrVUyiTCBUP9ngf7J1f3nH7HhAyduE1GI3oq0qbzjV4XFxfzzDPP8NZbb/Huu++Oy/6YrLLyVJBv+rZXhnK57TxFJSXMmFVFIBDIWbc69lm60pvgaye6absbZ+G0EL+8qpI5ZfnMiUFiQwroc0oM5pQMsvdKlCfmjFdTHoklwdBAJeKI4OQzHTLN3949bGxsZM+ePXR1dTFv3rxx2yeTydQzd+PGDQ4cOMCcOXNYu3btuH2uX7+eN954g1OnTrF+/frU37164Uzn4kWek8kkJ06coLq6mnnz5k3o9wYCgaxtBUtKSigpKUl77u3t7Rw9epSnn356Qsd+UGSq9c7F+fPnEUJM+l3q4+Pjc795JAzoffv2cfr0aaqqqmhra+Ppp59m1apVGbdvbm7mm9/8Jp2dnRQXF7N582Y++9nPPnA1XJ/8yNZb0nEcdu/eTTwe56WXXhpnPI+MbgkhWLp0KTU1NRw7doyzZ8/S3t7O+vXrWbhwYdZFn1JurWt39y0OHT7AvXt3qamp4bHHHpuUN3/9+vXcu3ePffv2UVZWNimVT8cen7o9fhuFdp9TuccqGo9coN65c4f33nuP3t5eamtr2bhxY9aofTZV5olgGEbKwKiqqmbN6nUcPXaYq1c7qaudz9LG5RPar6bp6LqGpumj2kQJxLhU7mx4arv3g6xGYXTAzf2/DwjLIhSOpE09zRQ5LJRC2ivNmjWLzZs3s3fv3rTZHw/fgM7+EN8etDh+Y5BN1SEG7t3jbvdtlq9eh27oKYXskdehL+Gw50qU+NB+DcNM6WD3Jx0OXh0gYmr86poZbJ5XglaAM8NrrySEYMvcCH99to/LvRbzyzO/Sx3pGs8kYiihIe7De9fL+HAch/r6eg4ePEhLS0tKjdub623bTs0H/f39vPPOO5SWlrJt27a088706dNZsGABZ8+epbGxcdTcNVYEy8NL8ZZScvToURKJBOvXr5/wemNkNk0hhMNhVqxYwfHjx7l169aolnofB2zb5sKFC9TW1uZdk+7j4+PzsHjoBvQ777zDt7/9bf74j/+YUCjEnTt3+Ef/6B/xe7/3e2nri9ra2vj2t7/Nc889h5SS999/nzfeeIP+/n5+8zd/8yH8Ap9sOI6TUSBIKcW+ffu4desW27ZtS6vWPDa6pWkaxcXFbNy4kYULF7Jv3z727NmTSuuuqKhIe6xoNM7RI0dpu9hKOBzhiSe2sXBh3aSMO9tSGKbGU089xc6dO9m9ezevvvpqQWngHlK6tdn5Hvd+p3J7BvTIBerg4CA/+clPEEKwY8eOnDVquq5PeTqtZ0Ar6UbrlyxZyuDgIL19PWzcuDnva+IazKP7EafDthWanr/D4n5FoYUQmes/Y1GYCtGwTFhJRKQo7aJ/KlVtC0n7XLx4MXfv3k2b/eG1C3oYKaCWI5FZvGBKKf7q2C3Od8d5u1Vjm7iApuvU1i9IqW97RrRUij1XouxsGyBhK4KeI0cMlwkIIdhSW8pry6ZRPAF5bN0wEJaFUop1s0N8r7WfPVeiWQ1oy7LAGRoH8SjKMApud5YLb943DINAIMCiRYs4e/Ysg4ODBAKBlKMqPjiAsm2sIcVtJSXbt2/PatyuXbuW9vZ2jh8/zpYtW0Z9lkwmRzlxvdKV27dvs2/fPrq7u2loaGDmzJmTayU2Qc2E5cuXp9pdvfjii4+EYN5UcfnyZRKJRMF15T4+Pj4Pg4dqQMdiMb72ta+xY8eOVJui6dOns3r1av7qr/6K//Af/sO477z33nv87u/+bmr7J554gt/5nd/h/fff59d//dcfauTBZzSZRKc8zp49y4ULF1i5cmXath2Zolue4vH06dN5+eWXuXDhAocPH+b73/8+y5cvZ9WqVanvKaVSnyeTSRoblrFihfu5UhNffHgGr6a7RoRXk7t7925eeumlgvaVK3V7/PZutDqPbjcTxlM495wftm2ze/duLMvilVdeyeio8MjWmmoyeNHheNJGKfc4a9fm16rKQ9d1gsFQ3otPK6kIBPN3WHgpmlNJJiNfJRKQuL9116DASmIEgqNSjCcjHJaOkdkF+bBhwwZ6enrSZn94itwPmkQOJ9jJrijnu+M8XV/ChVv93OtsJ1laRa9jUDZ0LXVdp7Pf4X+fucfVfpuG6QE+11DKzCIDwzQIBKbuufKMVMuyCBoaG6rC7Lsa5bUlkuJAGgNRAfEYji7RNeH+IRaFosKdhpkYKyxoGAYNDQ00NzfT2tLCmuXL0A2DxOAASrl9jD/Yf5Ce3j52PLGZ0lD261NcXMzSpUs5ffo0y5YtY9q0aanPPLV/7/gDAwPs37+flpYWwuFwSuhsKtYZE1HuN02T1atXs2/fPjo7O6mtrZ30eTwqtLS0UFZWllZHw8fHx+dR46GqNJw8eZLBwcFx9S6LFi2ivb2dzs7Ocd957LHHRvUE1jSNFStW4DjOhOtufKYeKWVGtVGAa9eucejQIebNm8eaNWvSbpNtAey1PvLqpV577TUWLVrE6dOnef3112lvb+fu3bu8+eab7N27l9LSMl544VXWrFmfMq7zjfimwzN4vazZ8vJytm3blhJDK6R9h51BDTobjqMyKkxPBd7zpJSrurt3795U25ZcxjO49+d+RQCV0iZc6iuERiCQvW3W+OO5Dot8maq05pGkW7Ar24bY4JQeJyOWa9h60b+pEA4by8jU+Xy3f+qppyguLuadd95hYGAg9dn9SqPPhlIKa8ycYiWTqX/xeIJvn+lmZpHBpxcV89qMHgwcLug1/Ot9t/lByz3uxWy+evw2/3H/bfqTkl9tKufvralgZpF7/9MJiE0WwzRTYmNb5oaxFRy4lsEpk4yDdLBHPn+O5aZ050BJiXLsrP+EdDA1gbIt918ygWElKTM0qmbO4HzreazYILHBAeTQJHDibAud12+wfuUKambPgkTcFdTLQlNTE4FAgMOHD4//ickkUkqOHTvGX//1X6cEzF577TUWLFiQEgIb9duG5slCyJb5ko3FixdTVlbGkSNHCm7h+Khy584dbt++TUNDw8cqqu7j4/Px5aGGay9fvgwwLnXXU1e+ePHiOKGO5cvH1zgmk0lqamomlDrrM/WMNL7S0dfXx7vvvkt5eTlPPvlk2hemYRhZvfxj68hCoRBPPPEEixYtYt++fbzzzjuAa8g99tjjzK8fXyOtJCipUkrL+f++YYPXNWLd78+dO5d169Zx5MgRdu3aRVNTU+7WKI6acOmqbSsCI9pxRaNR9u/fz7Jly5g9e/bEdjry3IYWZ6dPn+bSpUusXbs2L+GcXPduMtiWQmAA+UcqPbwxMxHD3rYVhll4LfRE+qCOxWvzNI5EDDck+AAYSvP1DOeJLv5zUWgUemT2xzvvvMMrr7yCEOKhiIlZUo1K3x7bM33f1Sg3Bmx+fWU5KElHWytlFdP47ScXsPNSjDda7vFGyz00ATsWlPH8/CICYrSBpE1hxN9DCIFuGNiWTVWxycIKk71XozxdFxldTy1tsNyMFFdlfMRniTjKDGRM5VZWEuKxnCJ3wWAQIUc7PwSgo2iYX8+7Bw5x9UYX86rdKOXlq9c4ca6FRXXzWLpwgXc0N7U8UpxxjAaDQVatWsWhQ4f43ve+N25OsCyLvr4+ZsyYwXPPPcf06dNTn40d+45UDCQdNCEoCeZ/f0ZG/wvBa3e1a9cuWltb06Y8x2Ixjh49yp07d9Luo6SkhHXr1lFaWpr1WEopLl68yOXLl3n88cfvW23ymTNn0HV9lGq6j4+Pz6PMQzWg+/vdXpWhMT1Lvf/Oty/vmTNn+MxnPpPx8127dqX6Kv67f/fv0tbaPggMw3hox35QOI5DNBrN2Ac4kUjw/e9/H13Xee2118b1cgV3YVFUVJSXoROLxUYtQKZNm8aSJUs4ceIEvb29rFu7AcPIrBRrmgLDzN+gUkoRj41eBAZDWqpG9sknn0QpxdGjR7l48SLbtm1jyZIl6dNv0+yrUAJBga5r2LbNW2+9xY0bN7h16xaf//zn017bQrl48SJHjhyhoaGBbdu25TSaNE0jEolMrrbclhlT2r2oezQaLTj9MRQKTSoyHAzpaQXFMj3XyWRySrJiTNMc9zwpKZEaPDADGtCKShH3IS1/JI7jMDhYWFR92rRpPPPMM7z99tv09/dTV1cHuPdlqhf82ebwvriNaQ+PyUQ8jjX0Lovbkh9d6mbR9DBPLp7Fra4b9PX2sPnJp1k4dxb/bHGEk9d6ef/iXV5ZNov66RGklERHXAtN04gUFU3p7/EYeaznlmj8vweuczVh0jTbc0or1EB/qgWAEFARGmMs6gaiuHTUHKGkdGv0NQXB7M9eIBAgmCGrwXEcIkVFHDp1moudV1i5tJFb3XfYe/goVTNn8MJT2zDGOheCYbRw5vu/efPmlKE8Fk3TePrpp1m+fHlKVNGbbyKRSMoxE7McBpMOpRH3OQybOkXB/JdVtm0TjUbz3t6joqKClpYWTpw4wbp161LZIFJKTp48yd69e7Esi9ra2nFzsVKKq1ev8r3vfY+NGzeyYcOGtI6m7u5udu3axdWrVwG3PdiOHTsKPtdcnDx5kosXL7Jx48b7mr6dbh71+CSszXx8fKaWh2pAG6mX8ehFqfff+UQP9u/fz9y5c9m6dWvGbbZv38727dtT/93d3T2R0500lZWVD+3YD4JckWcpJbt37+bevXs8//zzSCm5e/fuuO0CgUBG4bGxKKWIDrViGUldXR1KKQYGYkDmGlEhIBDM39izLclYu80wBLoxPIZXrlxJQ0MDb7/9Nj/84Q85duwYmzZtGqf2bSUlk83AE8Kthd67dy83btxg/fr1nDx5ku9+97u8/PLLkzIY7927xw9/+EOmT5/Ohg0buHfvHkIITNNMLSrHXvdQKDQpo1FJRSKR2yi0LItkMr8xAmCagYIjPWPRdYEZGG9AZ3uuY7HYhPqhjiQUCo0zKlUi/uDStz36BxBF49vr5EJJmeq/lk/UOhqNFpyaOmvWLEKhEIcPHx4VVZusM2csme61Uop78eHnwXWORVOZKm9fGqAnbvPFFaX09vZy+vhRDNNk+sxZDPQPEIvFmRuGLywvA+Lcves+Q8kR7f8M0yCe57w4EaR0cBxJQxmUBDTePnebeaGhaHA8DvboY6tYmv7uAwOIoGukKGeoxCCPe6lrGqFgkMEx+xv56ETjcRbOq+VkSwstbZd4/+AhAoEAWzesSznjzaF+4m4mQA8UlSD0zOuI1atXj/ubpmmEw2FmzJgx6l4rpVKtrKRSDCbluJZld4HigE7QyH/MTWS8A6xatYof/vCH7Nmzh9WrV6eEzu7cuUNVVRWbN2/O2GEiGo1y8ODBVAeUTZs2MWfOHMCdW0+cOMGZM2cwTZPHH3+cu3fvcurUKRYsWDAljlmPrq4udu3aRU1NDY2NjWnXA1OF1w4zHfd7bVZdXX3f9u3j4/NweKgGtDcRj11we/89UtwjHbdu3WLPnj38g3/wD+7H6fkUQC7jGeDo0aNcuXKFTZs2ZfQ0F1o/KoRA07S0Rko+dovbF1rlpbLsCoeN/7vjqFEGNEBVVRWvvPIKLS0tHD16lO9973s0NTWl+k27Ncy5zy+f8z9zppm2tjZWr17NihUrmDZtGj/5yU/44IMPePrpp7MaLV6q61gsy2LXrl0YhsEzzzyTcmYFg8FRjq2R0ZlsStH5ksxTTM1N9c3PmNB1Y0rqdUem6+dLMBjMqgWQi4zp2wU4D6YMy0JJmVNxWTkO2DY4lvu/Xo2C0FDBEOQQcNN1vWCDQtd1Fi1axJkzZxgcHKRoKFJrWdZ9EbMbiyVH18A6jityZ1kWAwmHdy72smq6ybxiiA4OcO1KB3ULFmGaAfQsz4yryO3uS7sP9c8jcVu4ucr5W+tK+VFrDwNSo1Q4SHv8eLMlmGNPKRFHGSZYllsvnQcCQTBNL3Ep3d2kUAb1c+o4df48P/5gDwjBi9u2EhmK8gdMk4BpuqKMjoNl2cjYIKqotKByg0x9zb35LelIBpOZ1dYHLVdgzcizNKjQsgWPmTNnUldXx+nTpxkcHKS1tZVwOMy2bduor6/P+psjkQhPPfUUixcvZv/+/fzkJz+hrq6OuXPncuzYMQYHB1m0aBHr1q0jHA4Ti8Voa2vjyJEjo4IRk2FgYIB33nmHkpKSjG3HfHx8fB5VHqoB7Skv37lzZ5SapOcJ9FLx0tHX18c3v/lNvvSlL/n9nx8Snkfetu200ciRXLx4kdOnT9PQ0EBjY2Pabbwa1UJrK9MZ0FK6fZ/zQUnyktOzM+wvkxGuaRpLly6lrq6Ow4cPc+LEiVSq2qyZc/I6t1xcv36Vo0ePUFtbl+qdXlNTw4YNGzh48CDHjx9PK9KmlKKjo4ODBw9mTJnVNI0XX3wxpS0QCATGGcie8NNUiGbZlspbHMwzLHNFd71+slNBIc6WkccvJKNiLOlqjZVtF6ZqNmUo16LJcD2VlDDYn/nclIR41DWyAkHXkE6zaJ5IXSjAkiVLOH36NOfPn0+NeU+N+34LEyXHzA2O7XDq2GEunj8HwCaAbvhh6/A29YuW5HQ4aZqWqk+eEgNDKtehkeO4Tw4Z0B9eifGpuRoJIcYZjFFbYUqFLgSGxpAqN+4YyAMhBKZhYGbITBiX6aPrFIUj1MyazdWuGzyxbj2VFeWAG3kODM1BI/dr2zZWMo4Mpk/dHYun3zCYdNAGk/TExo9lJ4czTCnFQMKhNKTn1ZM7XwM64UiC+ugxsG7dOjo6Orhw4QLLli1j9erVBa2Hampq+PSnP83p06c5efIk7e3tVFRUsG3btlGq9uFwmKamJo4ePUpXV9ekNTYsy+KnP/0pUkp27NjxQJxcPj4+PlPJQzWgV6xYQUlJCRcuXBi1yL9w4QILFizImPYyODjIV7/6Vb74xS+OqnHr7OzMS+TIZ+IopVIGcy6j2eP27dvs3buX2bNns3HjxozbBYPBCbXFSVfjVUhbqHQR5HTbZDPushnhkUiEJ598MuXt37VrF3PnzGPt2g0UTaL9S19fL3s/fJ/ysnI2bXp81CJ06dKl3L17lxMnTlBRUUF9ff2I7/Vx4MABrl69SkVFBUuXLk27gJ05cyYzZ84ESPVjvV9IqTI6KDJhDKVrZsJ1yOTfriofHAcKtWO8djUTUYZO+zxYhUerpgwrkdaAVlLCQB95KeIp6QqgeYZ0KIQYEV31nAaFRu1LS0upqamhtbWVVatWoWkaSimSyWSq724+KMdxw595ppwrpUiOUMSXUnK3+zYXz59j2uw5HOqPUFdmsmrWsBEXKSqirLwcIw/Hk2GYSMeZIgPadsW8irOLR1UWmayYFeGD9l5eqS5LOYFG3hEFJOXQ/3NAoNA1CGiCQBqtAA9tKJKbyXD2GJMd7UaAdZ0NTatZXDef2TNmYtsQDGgp43kshmFgALaukZTZlbI9gbyBpEPClkSUymksZzz3ISO6JJhbbM/rRZ9tLrOlJJqUGEEx7KjAHfPPP/88wWAwZ8ZeJnRdZ9WqVSxYsIBbt25RX1+fdqwtW7aMc+fOcfjwYV5++eUJz6tKKfbs2UNPTw87duzImGY+1fjq3j4+PlPJQzWgPSGpN998k09/+tMEAgHu3bvHkSNH+O3f/m0A/vIv/5LLly/zB3/wBxiGQTwe54/+6I947LHHaG5uTu2rr6+Pa9eu8cUvfvFh/ZyPPblaU6UjGo2ye/duwuEwTz31VMZFbLroZr6M3afjUFBbqFyRxXwM8nyM8KqqKl5+6VXOnDnD6TMnuf7D77NixUoaG5YVvDhOJhO89/5uNE1n65PPoGvmqN8ghGDz5s309vbywQcfUFpaSllZGadPn+bUqVNomsbGjRtpbGzMeeypjOKmQymFlSx8oarrBkIkM47HYDA05WmB0lFQgBr38LkE83Y4jSTtM/Ew0rc97PFp3Eo6MNCfn/E8CuWm+SbjKHMoIj30eycahW5sbGTXrl10dnamMpgsy8KyrFS5h67r6LqOpmnpF9XxWEptWumGKzJgGJChljbpjEnftm3OnDiGGQjQVrqMGxJ+47FKSscoNGt6fga6pmkEpur581LqkwnI0U96W10Jf3owyonbFutmBVwjOkukVOGmddtSoQHGGCNaG9JPMPJQcHckafXxDMMgFAwye4br2JNSYBq5s5aMZAJCEZJZlPFN0yRqKxL2FNTW4Kb1D1qS4kBux022ntBSKaJD82NSKsJj3lNTJbxVUlJCSUlmjQPDMFizZg179+6lvb19lFO2EE6cOEF7ezsbNmxI1V1nQ9O0Sbfruh+tBX18fD7ZPFQDGuDFF1/EMAz+/M//nHnz5nHx4kW+9KUvsXbtWsBV4u7t7cUZ8sD/+3//72lubh5lPHv8/u///oM+/U8UyWRmYyUdtm2ze/dukskkL7/8clYFzMlEN72FsFKqoNTtkWSKIOcbGVUqd0ssKRVKaSxb1kRtbT1Hjx3ixImjXL58kWVLV+QVjfJobW1hcHCAZ55+juKhKLZtKczAsKdd13WeeeYZfvCDH7Br1y50Xaevr4/6+no2btyYl0KxEIJQaGqjuGNx7MIcHh6uQaTjpEkZ9lotTTVjnS3KtnP2nPXOdWTbtXxIm75tJXO2ArrvWEkIunWnEzeex+4zAVYCZQYgGELvuYOlyBkpHcucOXMoKiqipaVlXAmQV3LiGSqeQT3SqFZKcfP6NaaVl2EaBjKZwInH3Fp/KalI0ypxrMF17Uont7quU92wirdvK15cUDzOeIb8RDI9pqz+2RuriTgYAcgyXzWVwfSQxrvX4qyb5T5PpmFg5ZFJEXUUJdroqF8gEBivlJ2BTMNJ0zR0TcOREoEgFAhiOwJNy5EZoiRGIoaIFLuR9DETjqZpJKRGcor7KidsiQAiZgZnzRDZsi7i1nAk3HIU4YewarMthRAwf/4Czpw5w9GjR5k3b17Bc2x7ezvHjx9n4cKFLFu2LOf2QojUusFxnJTmhpSyoLXIgyjj8PHx+WQh1FQ0Kv2Icf369Ydy3Ielwu31b50MjuMQi2VWs07HsWPHOHHiBE8//XTGenZP8XSy5xeLxYbq3dQEjbHRatye4VyIrWKYItXmaNq0aaMURb0o69hzu3r1CkeOHmRwcKDgc964YTMLFy4efQ5jFMHB1RT40Y9+RCQSYdOmTdTU1OS1f894vh+GqId0FMkJRJ89bNsmkRhtlBpGZrXVqcAwRKontIoOMr2slDtJO68xnEgk8o6sBoPBcVETNdj/cFO4AXQTUVI6ZDz35aWyXAjqdhfqT/8QFSki/g//sGAj+sSJExw7dozXXnutoPTQ3t5eDuzfx7XrN4iEw2xc2URtTdWo+zp92jTi6GhDwlWOVPTEhw1K27Z5+/vfIZlMcmT640RtjX/5ROU4VWZNE4SytFi6Lyigv4dUaNcMQqZzsC2IDvBme4zvXozx++tLqS91LbdEMpmXsnxAcw1HAF3TCYfyeyaVgkSStBFoGHrmrSRBczhrSQgIBNz/zYoZwAmGxxnRtjBxxOh7NHYOnwy6JigO6FmFxdLNDZ5g2UhKg/qoNO5MKJX5XShE/inNjjM6A+va9au8994uNmzYyNKlS/PWhLhz5w5vvvkmFRUVvPDCC3k5kHRdT+t490rJ8tGWyLSPkfgq3D4+PoXy0CPQPvefZDI5aQ9soemU0WiUM2fOUFdXl9F4nsropqZpE45kwnBkEeWKhU1kP9JRafsEu5+lP7c5c+ZSVVVFb19vQS19zUCAkuLx6Xa2rdA0RkXCKysr+exnP1twVPZ+RXE9lFJYBdSqp2Ns5EbX9fsuKug4KmVAYyXddj3RAcijxVMgEEhFUHIx9tqrcbLEDwnHQg0ZWFNuPMeiqK/8Cegaor+X4P/6ExK/8Xs5Ra9GsnjxYo4fP05LS0tWzQUP27Y5deoUp06dQtd1NqxcwcWOK7x74CA1s2by2OqVlA5FnqWUWAP9BEQFIhgkMaZQ9/KF8/T23KOnajW3YvD315UTGidV7Tp5HjjSZtQkYyVcq3NsarrCTWMHnp4T4iedcb51Icr/uabErRM2TRIyswq1R1KC4SiCukYwkP/vlRnStz10XSegzFEGmBrStzPNHEa0lUTXdILBYMqIjjsCYd5fBWhHKvoSDmFDI5zhWGPLFqRSxNLMj+nSuNNh2ypjJF9o3rXKvh8px5cvVVfVMGtWFSdPnqCudgGRomBOIzoWi7F7924CgcCorg65yPT+GdlOMdvaxMv88fHx8ZlqfAP6Y47nqfUEUibCRASQjh8/juM4rFu3Lu3nnvE8dTWqGo4zOWNsInW4I5EyfbQ/Vxq4rhtMq5g+qWOPxLbVuH7FuTzwY7lfNWNKuu273H8Tc1SMZGQatxDalIuGpcNL13c9NkMGlJVExaOIUPaootuOyEDK7FFkr0Z3FFaWsNwkkNItjXUdL25Wb85LONA35eehpER94/+DO7cR/+APoPce2l/+ZwJvfI3ka/lrW0QiEWpra7lw4QJr167Nuli/evUq+/fvp7+/n/nz57NlVROlxUWsW76MY83nOHqmme//ZDcrlixmRYOb7ZG0LfSBXnTKSMrhBb5tWZw+fhQi5RxNVPKLKypomlMx4esx5aSbw+Ox8Y6fZDyVQx02BK/Wh/lGa5RTdyxWVgZS75JEHiU9MVsRCaQZy1kYKx42Fs94Gos3jnNOW4kYuq4TCoW42z8IRrDA5nQTQylF1HKwpKLI1MZFkb1n3nOuxSyV1klh2bnTuJ0sxjO405Zjj3AEZiDde0sIwerVa3n77R/SfPYMq1etGVU6NO5cHId3332XWCzGSy+9lFfpkEeucRMMBlNp3R6WJVPTsmkGhhJ2JJouMCegX+Hj4+OTDt+A/pjjCRdZloVpmhMyLgrtUdnT00NrayuNjY0UF5ekNWwDgQBKaQUpL2vCXeCPqwtVCuk8Gi9GKWGk07xQRfCpOodC2y2NZSKRZ8fJbBBL6abD34+CEcMwkNIhFCq8BdpEcSTo1pj0wXgMpemILOJMlqUQGAhhZTU+HmTvZ9sm5dTw8Axpw8jDmJ4i1I++DedPIz77RbTGlQDIax3ob3+XQHUtyU1Pp/+eUuiaASjk0Mq5sbGR9vZ2Ll++zKJFi8Z9Z2BggEOHDtHe3k5ZWRnPP/8882bPJijdaJau66xZ1khtTTWHTp3mxLkWLl1o5elVK6iom08imcTo78Mxwikxrpbm08SigxwrXcuTtcVsXzQxVeT7Rtom9jYkk24kGtxBMKYk4smaILuuxPl2W4zl00x0za0dD6ZR5h6HECTRCeV5im4mUJ4bp8FxQNNBz2WvRwdxwiUI8/473MZiOZI+qQibGqY2WlXba2mVdCTJDJ4ERylsqTKmg3sOW9fRkX4usm0Lx3EQWuasKSdLCdP0aZXU1tbT0tJMXW09lZXT0mrsKaU4cOAAXV1dPPnkk1RWVqbfYQbyeQ+FQiFiMVenQMphx4EQGoZhDr9zlIIH4irx8fH5JOAb0B9zPM+sF4kuNKrotawqhCNHjmAYBitXrkwb1TVNE4ExYcNSaK5x6AnHWJZCCI1MIiwPkrFp3JNJK58MYwXFCqVQA9pxJqakPRW4advBqRNaygPHlujpUgejg64RnSbqObLPtaYFcJzMBvHYqKlynPvS+9nr2DQWJcHBbRscvL8Z8e7xjnwI778Nm59GbHku9Xfx6S+grnWgf/crmLOqseY3pGo7pXSzDwzdHIrc2YDr7Js9ezZlZWW0tLSMMqCllDQ3N3P8+HGUUqxdu5bly5djmiYBZ/T91HWd8pISnp5ezK3jl9hTMovvHzlJ3fVbbFi1EiMsEEMOwIRUnDl5nDuBSmbMrubzq2fxyJFp/CRirtK4JiAeZ2yWg6EJXlsY4b+dHuDDriRbq12jzFPnz2ZEm4aBrSDhKIJZWlt55ErfzgfbAi1HPbRUksG+XkS49KHYVFIpBpPue1UTAkMTmLo7nqVURHO8G5NOegNayuF5WNeNjNkXmqYRj8dS4mBjna35iGeuWrmGGzeu89bbO2lsXM7q1SsJjEnVb2lp4fz58zQ1NbFgwYKs+xtLOhHFdHjZbNFodNSawhcO8/HxuZ/c38Ifn4fO6NSmwusnC/1OV1cXnZ2dNDU1EQyOjzt4xs5k8NLPrKQiER/2OE91y6KJ4KVxu/9fTTqtfKIoNXFhZCEEmsg/O+BhRNlHIob6yj5IZNJt5zQeBdH+cZ+NXZAKdDKt3D1l6FHch+izUumzekdtI3NvM+nz6LiI+s7/hAUNiFd/Acxhi11oOtrf/icwsxrjK3+Mdqd7KJPdIGCGCJjB1LXSNAPUcBu3hoYGbt++zZ07dwB3bnrjjTc4fPgwVVVVvPrqp2lqanLnJNNEjHEUqt57GH/zF4S+9l+ZkxzgtZklbOxq48qNG7z+459y6lyLOz/Goxw9dBDbSnK7ooG/t7Eqq1jUQ0HKzOrtaijq7Nhgpx9na2eYLCjV+f6lKImhTBM37d81otP9Wk3TUs/loCXz6qlcoK82LUqBlWPMRm2FdCTEBid/wEkilRoSC3PoT0oGbHI6gq0075Wx83A2J6imaamSLivpdq/ItJ9MFBeX8MrLn6Kutp7m5lN873uv09HRkfr8+vXrHDhwgLlz57JmzZqc+0t3joVsa+jBlLNa1/UH/k7w8fH5ZPHwLQ6f+8ZYsSIpZUG1zIVGn5VSHD58mEgkwrJly9yeuSPwalTvF5ONQE6VsI+SD9+ohCExNFn4Oei6jpQC28rPAWBbk69l/shhWZlTTaWEwQFXpZrMfa41kX68Tbb3syPT106Oxc6zX7qX4n0/UL33UP/ry1BWgfilv4cwg+Oi9yIcQfvSPwepCPzlHxEeSk1Nt8AWYngOWLhwIbquc/LkSfbs2cOPfvQjkskkzzzzDM88vZ1IuBjHGRLLGxH6VI6D+uDHqP/4z+DscdSOT5H4u/8cuf1V1heb/ELnCWZOn8aZs828vesntF1u51LrOW6FaviNrYspSdOy6kET0DW0kdG3XNkLVjyrMSmE4LOLIvQkFD/pjLuZC0PZCykjeky0LzAm22kgqUg4KqMhrZSb8TAVSCezMZ5wFElvXnOsh69qPwYzECAYCo37N7IXuFQKe8xDOXIeFkLkzCIyDBN9KO/a/a77ZSfPeQEgFAqzadMWtm9/HsMw2b17N7t27eLGjRu8++67lJWV8eSTT07IuV1IFpT7ntMxh5xv91tI0sfHx8c3oD/GpDOWC4koF1r73NHRwe3bt1mzZg26ro9awDyIfsKTiUCbZoBgcGrSgB2ZvmXVw8CeQATcvXdDfUfHRCfG4jhqSqJGHyXUkORv1t/tWNDXg+q7h9U7gIwnUGOeR00zSDcFj1PfztL7WSmFJRUxW9KXlNyLS3qTkp6E+2/AkmmNFikLi/ZZ1tSXIigrifqffwrJBOKLfx9RVDxcizsGMbMa+Wv/FG5exfj6f8lo0WuamfooGAwyv76O9vZ22traaGpq4jOf+Qzz5s1LZQMoqbn100P17GpwAPXlf4Xa+U2oX4T4x/8a/dmfwYyEQQiMn/lFynq62W71snH9Bizb5uDhA0gEm9euYU7Zw1f81YSgKKClWkgBrrckFzm8JIvLTVbPMHmrI0bs+BHKv/6f0JqPDwnjuTXR53slX25OsP+WHJdD7SjFoCXpHTE2r/Tb/PHxPn7SGZuS9O2RWGnKZxyVJj06Ebsf2nwTZmRf8pH/DMMYlWqdHHFLbUuNun35pj97jg+lvH0onAJ0STxmzZzNiy+8yupV67h+/TpvvfUWSim2b98+YWO2EAPa6+YQCAQIBkMPtJzHx8fnk4mf4/IxJl302ItK5zI2bdse12rHcRwcx0n7QpRScuTIEcrLy1m4cOG4hUumiNFUMtH9j1ScDgQCxOOF9bseixv9eDRWZNIBqRcmKCbQRt0/K6kIBNOLtz2suueHimXhClblNiqlLXGSSbzaXCU0CIURQ8+QJkwcGU9dW2/xPJJofxTLyiwolPHYSpF0SEXbNCEoNt16S3tMR6NcKOXaYOYUvTGUUqhvfwWudSB++UuI2XPcD8z0BqjjKJxFK9E+/avo3/0fqLf+GvnS58dt515HDZAoKVm5eBGalCxdvJiKarf/uTPUps5rcWMlJQHLAmmjvvb/Qtd1xBd+C5rWpe5LwDRxHAetfjF24yqKDuymbt2TqE07+Ov9zSyaWcpjNUVuNNN8uNGvooAbfQ4agoQtsaRyHTpTwGfLB/gXt0zePnuDX7t+ifJvnSN5YiU3nv15/vp2mEM3kwQ1ON+bYP8tm19qKKK2ZPygSTqSnZfj7LwcIynh2O0km2eEMKbSwTrU2mrk6ypqKdTYgS+la0SH0ncq8GrulSe0l+m5EcNK9oX0Wc4X6SikY2APRcylJdEd91hjpwE9naJXulMeyuZIJOKukOAk5nNN01i6dDl1dfWcaznN/PnzKS0trIf7yH0V0qd65FLFT9328fF5EPgzzccUV5Ey/aLbsqysvRGVUuOiz5Zl8fbbb9Pd3U1NTQ319fXU1tamjOmWlhb6+vrYsWMHmqaNWvCbZuCBvNTcl66GylTrlwZvEe29rD1Pf6Ftux5lbEsRCOa3GNE0DaXGGsqeET36759I4xnAHno2cigGe71pR/9Rumrdhu7W92o6jqODcHc01niWsSjxAjNBMiGVYsCCIt0V4CoUZ6jVVU6F43x470dw/ADi+dcQy4fqI3UDkSbqNNJRI7e+hLjWjv7jb6OqalFrnhi3va4NOSXiMUoiYTavWeXuJxFHmcFU9Nk0XfExlUhg26C/+U242IL4uV9DrFw/br/BcIRIOEzfCz+L/l/+L4r3vs33a16hu2wh/2RtmbtRPOb2VX5IegxBQyMw4gZFAjq9UWvigggeyQSh999kyd4fs33JZ/jJnM089tKzzD3zHnsu3OKbJyxsQ/AztSFeqC/i6K0kf3Mhyr861MfTc4J8ekGYiOGe17m7Fl8/P8iNqGTdjACbqgJ8+dQA+28m2DJ7akt8vNZWhuGmbluZsmmSCVdNfei+uSU4EisxnNqcEzW6BZcY6hqhG1NjTLsdHvTUs+AohSUF5hjnaD7p2yMxDAPHMbHtqXGyRCJFrF/3GLpx/7tAPAqlUj4+Pp9MfAP6Y0o2A9C27YwKlVJKEonEKOPbcRzeeecduru7WbhwITdu3GDPnj18+OGH1NTUUFdXx4kTJ5g9ezZz5swZaivlftcwjAdaj6RpGo4jU4ueXAsXwzDHpXsFAsFU+6+PA0q5XvpM7UpGMjb13kNKN03O66Np2+q+1cUWiqswX9h3NI28rke6Y41UKMrWs9bOpMCuJMSiqf67btpxHKGNFkNTjkMyOrlsiFE4Dk4yQZ8jiOhi9LMRCOVl9OVSOFZSInLsR509gXrru7ByAzz90vAHGSK31sgFshA4n/0NuHUN/Rt/ij2jCuaOVvfVdZ3koI3hDDkeHMftLZeIYysTcA0Mr14SK4k68B58uBu2PodYN94oB4FWUooRDJKYVgXrnuTsxRuci9j8wuJIyjgcvrfFWa/B/UAXgiJz9LU3NEFASFIuGKXcaGsBGJdbifzor9F67hBr2sz2rY/x/lmHb7QniIUe48p8h6bEDX7j6FeZecYk9vLn2bSgkZWVJq9fivHO1QRHbiX5zIII5+5ZHOhKMiOs8Q9WFvNEdQhNwHfaYvz0amzKDWgYqvUXbvp4ZtSo+5aIK/p0m2hy/GQYMkReBrFSCuUACKZCXsN2FJoQaLqOHJqkLVthBkafSyHRW49AIDD0zpuaSX04mq2GumWIgiLz+RrQD6vLhY+Pj49vQH9MyWZAe32hxxq2tm27LUlGvJGUUuzdu5dr167x+OOPs2TJEpRS3L59m8uXL9Pe3s6VK1cAWL9+PUKIUeJh5gNOZ9R1jZ57ikstimQC6hZB5az0L21XEXz8+QkhME2z4BrwRxnbchcyuRYvAj1jhqJjK7ShNMVHxeuvlOLUkRi3bhRmQes6rH4sQsX0AqfAofRtD+lALCaJp9P4ynaJbBuVSCCCwSGnhYYmhheOSimIDmTsBVsQSmGeOUz4rW+h9fek36S8Evulz6MaVuXaFbYN6brhqYstqL/8Y9SGLYjnPoMIR8Zvc/Ma6n//OVTPQ3zuV8cY8eOfRcdW44Onponzq7+D8Z/+CcZf/Bvsf/KfoLR8+BjSQbcsVF8PwZ++jt5yCvvx7SQ2P4u0NERRcaoTgJIO4mIz+g+/jly0HO2Fz6b/4eEihKZjGwGkUkS3vcRX1XVmOgM8VVMx5qSt4YjmA6QokL7uNaI5WAiUkkS++WcEzh4reN/OzGru/fL/iTVvMaXA9poob16JUx4Q/J2GYlZPX0pkwRfgzf9N8f/8Twx+9u8QadrAF5YU8XhVkK+fH+Qr5wYxBLxaH+LF2jBlQT2lVr5jToivtg7S0W+nTfmeKMorY0gqtFw9zR0LbItBW+P/2XONm4PpI7Lrq4r4tVUz8z6HyToaban4SVsPO1vu8ez8Mp6vKyHpGdDKK0cY3n4i2V5eJlam8iUVH6oT13XQ9bSZIplwe8yPWBMExrfNGks+BrTKo9WWj4+Pz/1CqI9LmK0Arl+//lCOW1lZSXd3930/jpSSaDSadRshBJFIJNU7OZlMjhMYU0px6NAhmpubWbt2LStXrhy3H6UUt27dIplMMnfuXACspEylm4Uy1JXdD6yk4sLZGNc6bcyAu34d7HfX1vMbBJGi4Ze2K2oWzlg3rZQiHo9lTIPPRXl5BT099yb03fuFroNhZo4OCiEwjXDOBV+6mruHxYWzcdrbksytNwlH8k+bvdpuYVmKjVuLCvqeig6My8suLy+np6cn730MI6C4BKHrSOkglUNoqLRCJaLIWIzepBzq0zqB3QPa7S7Cb34D8+I57Kp5xJY9luqeZWoahgZIiXZsL9rt68iGVdgvfh4qKrPu1zTd8eShpET9yf8Nd2+7LZGKShCv/Dysfixl1KnoAOpP/xASccRv/1+I8unDO9ANREnZqGMoqUgksgy0K5cw/svvoubMx/nSH6asetXXg/bhj9F3fw+kjaxdiH6xBad8OtFnP4e+ajNmsRv9VzeuYP7J70G4GOs3fh+tOEJgrHPADCCGsgUCxWXcaGtj7/U4f3VukH/c/HWaPvUizryFY74koLg07xs3ss42LSJ7xkTY1IiY6Y0ONdBHPJ4kee4UxV/9LyTWPIGcVZ3XeQHISAmxhvVIMWyYWVJx4k6SFdMChLzzEmCSpOQv/z3aYD99v/2vU/dEKsWxWxZzS3RmRVzDuTSgDfXzhntRyd/de4cnq0L8ekNJ3ueW8ZyVIikVcRs8T5amkTMSLNH4fofND9t6eG35bIQ92ol6pS/JwesD/MMNs1kyPf93mxEQBelQeJzvjvG1E7e53m9RGTbojtn8+qoZLC/XUo7usKkTGDE2IpGiCaeMuzonNo4jkakuAsBAH6M8gkLz0ngotJG2CAYJBDNH8TVNIxIZ73wbi5WUBQkh6jqYgfTP4/1em1VX5/+8+fj4fDTwI9AfQ/JpPSWlpKOjg1AoRElJSdp05dOnT9Pc3MzSpUtpampKux8hBLNmzUr9t1LDqb0PSsxDKcWNqxatzQmspKJqLsydL9B1uHkNOi8qTh5UVM9TzKkX6LrANANZRcc8cZXJCoo9aDyHSDocB7QsgmK6pucVLXlUjOcbVy3a25LU1JosWV6YwnvlLINDHwxy4lCU9U8UYeRRr6ekzN1gtiCG0kaLS9A0HaHc3tvKtmAwTkK6KYpCuGnTBZFMEPrgRwT3vg1mgOhLv8jAqm3uwneIGFBkapiaQG7agbb/p+jvfB/zy/8c58lXkI8/7xaPpsEaqodOXfLjB+B6J+IX/w7MqEK9/lXUX/93OPQBfPqXoHIW6mt/Bj13Eb/5O6ONZ0ibvm3lynKYOx/nC7+N8ZX/CN/6/3B+8UvQegbju/8dresK9oJlJF74LGLGDGhrJfijb1LyrT9Dnj6I/bO/jiitwPjKfwDpYH3+70M44goAaiOcA0KDcBHgRTMVSWHyvUt3qS/WeCzWgfrxtxn49d8dE95UWVO5lVIpUSqv7Z0Qbndw1+Yb/9tdR0qaTBpNEDayGOq2TVBT6D/+Ds60GcRe+ULG+5oOxwE5ZtibmmD9jDERdgXSCBB/7rMUf+WPCB7cTeKJ5wFXwG7drEBK/T2iCRKJ4Z9ZbGpsmhVkb1eCzy8syv57sp3r0D1KpBFx9I6dKbipFNwdtPnp5V7WzC7isyuqxzlBk46k9W6M18/f5Xc2VY9uFZYF6RTmBOuN23zrzB32XxmgMmLwpfWzWFIR5o8P3eB/nermH66rpCrsHttyVMqAzld9OxOe4jd473KJHY/hCDG6NZ6Sbv1KrvZoaVAoHCOccQjmnb79Cev+4OPj82jhG9AfQ3IJYN25c4eDBw/S1dUFQElJCXV1ddTW1jJjxgyEEFy4cIEjR45QX1/Pxo0b834pexEUV8jk/g+vgT6Hc6fi9Nx1KKvQadwUwggM13DPngPTZkJHm+JaB9y+qVjYoFEzL3dRmruYMHAmsEh4WAQCQWzbyuhEsW1FIJDpXg4vXJJJiXQgFH40O9313nM4eyJG+XSdhhWFt0crKtZZsS7C8QNRmo/FaFofzr0Pq0Dp6nxwbFQ8jhhq8aaUgpjrtPHUs70oXb4LcKP1NOGd30Dv6Sa5chOx53+WZLAM0jhHBi1FScBV7ZVPvIBcvgHjrb/G2PVd1Il92K/+Mqq+YfwXRygcK8tC/fh1qKmFlRvdGugv/Qs4+D7qre+g/vj/gjn10NHmpm3XjY3WMi59222fNn6zeExi24rikqFF/urHca53oP/4W9DdhXaxGVVagfXzfw+nYTXxeILBOzpW8VL42T8gfPEM2pnD8Bf/E1FWTuWtGzhf+Pswo2r42NaIJINIGJEApRwGk5IiZfN2e4x7CcUXFxczKH+G0h99FXHyGInGtWPO1oJY77ComGGApiPig2i9d1BVtRhCoBuuMrqXzqyUwpZuOzxbKmylhsSSwAyo0eM0FqWoLHPEUXly60f3od+8yuDP/WZBxrOrnzD+71JCf69I27fZLG3EWLKa4Ps/Ir7qCWS42HUUuCWxhE0NpBj3JO2oCfPBjQR7uhI8OydMMgk9fenPKxKG4qIx56QU/UN1t5lIOaTSPEuOAz/siGFJxacWlqf9fkDX+JnFFfzPU90cvTHI+ur8at2lo8DMPUdJpXjvch/fPXuXpC15eUkFLy0uR3PcueE318zi3+67xl+cuss/XF1BSUDDlpL+hHIdKZqJI93/3zWQRAiYVRQYHktD/8LmaLG5dHhiZJoQOKZJvIBe9FlJJrANA00z0zuE8jCgs7VW9PHx8XkQ+Ab0xwylVEbjKR6Pc+zYMc6fP08gEGDLli3ouk5bWxvNzc2cPn2aoqIiqquraWtro7q6mq1btxZknHjtmybrCc+FbSsunU/QeSmJYQiWrgxRPc9ECEEioY1KvQ4EBIuWCmZVKS6dV5w94WCaFjOrchvRblur8YJiSoFUU6RIPEV4Cx5d1zOmnyuZXlBsuP2PO4aO7osSj0o2bC2iqPjB9tTMJUSViEtOHo4SCApWrgtPKDUSoHKmweJlQVqbE1w6n2BBQw4BI3uKFpBjScRRhoEwDFfFWTpIpXBGLBLzNaCN1lMUff3LyMoqBn71n2DXN7hiZhmjNa4yd9h7E5ROI/lzfw+99RTBH30D43/9Edav/FOoWzLum15ET9u3G+7dcY3joZMUmgabnoIVa1FvfhuO7IUtzyLWbxl/CrqJGCHkZyXVuDZw0lF0XExy6UIC6cDcOpMFjSFMUyBf+HnEjU7EmcM4W1/E2foqBIPcuQMtF4pIJEZeuI2wfGPqv4rm/gwNMyKMqWJ2CQQQZgClFINJiSUlfQmbt9v7aJoWYHGZSXzV40QO76L0+39B9OYVBh9/cXQ0Xclh1faEInT6AMW7v42IDmD/zn+G6rpxhxVCYOpgjnhGHamGSlBFSjRKxaIIzUKPR9108XQ4tttv+8evw9z5iKZ1aR0pmUjX7qyvV9DZbhCPZX7uLtd/ieXdX6bk/R8xsP1zqb8bmiCY4XldWGpQV2Kw61qMJ2eEOHxcJ55Iv60QitVNkmnlw3+L2tmN59RvstxbNPL1JCVc73fY25Vga1WQmbrttiRL44zeMDPET4tN3mi9y6rK4DgV7EzIBGij5l0xJNHt/tfle3G+eqKbjp4EjTPCfGFlJVUl7lhK2u5NKw3q/N01s/iPB27wleZefmtlOYbmRoelo9AlDAwmefNiD7sv9wKwY345Ly4oG2UwJ21FII9pXQ2JHnjv8ymr+IvHsHQjbXvEfNpRPioClj4+Pp9c/BroB8iDqIG2LItEYvRCX0rJuXPnOH78OJZl0djYyOrVq6moqEDTNOLxOIODg3R2dtLe3s7169epqKjghRdeSPVHzgelFMmhmsVQKFxQK41CjnHrhs35M3EScUX1PJNFjUECweGXrmUlMwqAGUaAEweTDPZL1m8poqQ09znatoVlO9hSIT0vPoCCIl2lFaZ5GDXQhmEQDLpGoJSSeDyWccEztgZNCA1dc797vTNJ84k4muZGoDdsLUqpbz8I1GA/mMFUr+SROI5r3A/0Oax/ooiSssmNMaUUZ0/EuX7FomldmFnV6ce7ckNuaT+beA30CHQdgiGIDgJuy52YPbInTlqNrVFot65T8t//Lc60GQz8+u9AIIjjTCjL0j1kPErFX/1rtHiU3r/9+2jl0zE0gS4YTl2NDRD449+B2gVov/aPMu5L9fVASVl6p1q4CDE0btPVNd65bdNyOk50QDKzyiAYFFxptwgEBIuXBZk9x0RImRI8iEUl50/HuH3TIRJRzJ+fwAwYBIIR0LWUAFL0dh+t7QbxqKJqNiysdwh611jTUkapZzwDvHFxgLdbb/P7GyupNt2/iYFeSnZ9m9CZAzjllfQ/94skF40uedFvX6fkra8T6GxFzl2I6L6Bql2M81v/soA74mIGBJqThOjA8B9DEUQavQk1OID68euot76D+M3fQc5fQiyD8JLlMKpH8tixYyXhSqfO3W6dQFAxZ55NaKzPSbjpyu2XXAN71u2jzH5sDuaMCkBQEhDoWRyru6/F+MuWAX6zbCZ2TNC0VDK246JScKZFw0rChjWScBgSUhHLqrI9/jxNc1jPwbLgz5r7Od9r8a/WllMa0CgtLaOvL/0z33wvyZebB/hsfYRnavJTDtf09MH/QanxeluU965EKQ3q/HzTdDbUFKeeFSkV9piWgUduDPA/Ttxm4+wQP7e4BCHc+bylT/E3Z+9wL+6wdV4JSsGeK/1MCxv8fON0mmYN1xaXhYycKejKslLjLGlZWFPU6goAM4BRFB6ly5Fv/XMyIQs2ov0aaB8fn6nEj0B/zBgbfbYsizfffJO7d+9SXV3Nxo0bU4az5+kNBoNIKVm0aBGLFi3Csiw0TSvYAPZeaEIU/t18iA5KWk7HuXPLprhUo2ldmPJp44ewpukoBQNjWpBouk5Q11iyOsjJfXFOHoqyYUvRKOM7HQmpkVS4kQLdXQh562ylHIR6NFK8R6bMa5pGIBAkkYin3dZxRi/mxFD6tuMo2loSlJZrLF4W4ui+KKePRFn9WOS+ZhR4qETCjfo4MtUrOfWZUpw7Gaf3nkPTuvCkjWdwox+NTSEGByRnjseIFGnp9ztV6YuZcJyU8QyQHJuimCONW8QGKfrGf0UZBoOf/xIEgm6EeBJDU4Ui9P7c/0HFX/1rir/5Ze79rd8lMaQsHTY0grpAf/9NVDyG9mIG9Wrv/EaoZI9jKGI71nhOxCWtzXG6rtmEI4LVj0WonOkO2up5Ac6dinHmeJxrnRYNTSEixWV0XEhwqdW9V4sag9QuNFEEMc3QuGtRUlZBZZ3i8oUE7W1JbnfrLJwPNbMdRMhdxI80nm8PWvykrZvH55ZQXV4Mg25+sSouo+9Tv05s1ROUvP0Nyv/mT0ksWU3/sz+PDBdTtHcnkQM/RQWCWD/zRdS2l9HefQPjB1/FaT4Gy9bkdT88rJhFwBoc7biLx1BmYJw6suq9i3r3TVi6CrGgAR0oTucM0w1iwiA24I5BpYbHjlJw+6bGtSuuRkJVjcPsaidtLbFuuIZKWYXF9QsJrjnLud2mUedo1M2FXMHazbNCXLigkRzUWN4oqZyefrtVyySHjmucaNZYs9IhVmhK7wg1eceBth6Lk3ctXq0NU5rByBrJ0nKThnKDH12JsWlWYLiNWRa8NHbvviml2NeV5FsXogxYimfmBvn0/AjhgBruJ24YqDQ929dVFXOtL8lbl3qpLjJYOj3I9y8N0NydoKbE5O+umcXK2W56+eNzSvjq6dv8t2M3aZoZ4XON06iMmCRtRSiXY3SEiJqh61NrQFtJ7ISBpgdSWUT5RJ/Bj0D7+Pg8fPwI9APkfns5lVJEo9FRUceTJ09y9OhRtm3bRn19fcoIMk2T4AjXvuM4xGKTE8zy1LdNMzCU+iy5cik5JS8721Z0XbUQAhY0BJlbH8iYuquUoqd/gJg1vBoXQhAMDde5ykHBiQNRyip01myKZNxXwpZErcxqJaamYajkOMfFg45ACyEIh8cbudmi8eaQMqxSCl1zFckvX0jQdi7B2s0RplUaXO1Icu5knNoFARYvyxxp6e91uNqZTFsTqetQWxckXJSjP7Dj4PT2c/U6blsoTUOMSIdNxCU3r9vMXxJkwZKpbRGUiEsOfuAaJWs2RUalrbuiXgMZv5suAp1vH/J0OErRnxz/0AgtffsoHIeir/0JRvt5Bn71n+LMW5iKqk2mZLuvVxCLCqoHTjHtW39ComENfZ/5TRACTQhKB+9i/snvIZseQ3zu1woprR3GMBHFpamae4/rV5K0nI6jJNQtDFC3KDiu7EApxbUOiwvn4jg2BMOCeFQxc7bB4uUhwhENw3TFBIUQJOIyowDeYL9Dy+k4d7sdSso0yqfpWI5CjriAzbdjdEdtHqspJmgItyZeSTTh+tYcBSiJ2dWJce2Se466iWYlsGdUQ+0iRKQYoWkEDEn9N/8pesjE/u1/hwjnF8VUQ5F2TUhMXcK+3TCn3q0rH6NkrqSD/Np/gw93If7xHyJm1WTecXEpUtPp6b7niqpZbvb54ICg47JOdFCjpFRSW2+TqbGCEK4vJKgLQoYAJRh880ec76nm5sy1FEUUDYskFeWZT+PKNcH5No2TcoC//XgwqzF75y4cP61RMU0xf5HN1UGbcz0Wz1SH0PNMqxaaWx7wH071cTch+cO15SlBrmwRaIDOAZt/c6KP5+aE+HRd7qgpuCrgmga9CcmfnRmgtcdmQanOLzUUMS9D+y7b1lwF9BF19Ai3XvrPjtzgTHcCQ3OzQl5ZVMHTdWVMCxvD6vdKcTdms+tyDz9s60Ep+EzDNLbXlVEayv7Qqr7eUdLw8UQcJ8cLXSqFVKRq+rMihtrKhbRUK61cWW9SDme6FYIfgfbx8ZlK/Aj0xwjHGV2ra1kWzc3NzJkzh/nz54/admyE2OuJPNHex2PVtx1bceJglIE+mVH1tFBmzDZYvCyUU9hKCMHY9rlmIDDKmDGKobEpRPOJOOfPxGlsGr8qdOSYNNo0WEoRDgRRifiEW15NBZlqzk0z4Cqppqnlc2yFFhCg3GyEZELSfiFB5SyDaZXu1DCnNsBAn0PHxSTFJRrV88b0DrcUF4dq0YVw13ZjkQ5cu2xRvzhI3YLAmDrAYbqvDnL+vCAWF+i6QqBAjB6PNfNM5i+e+t7iwZDGqg0Rju4bZP97g9QtDFC/KOhGfGPZW8KlwxOQzqjXloVMQ06NiWB5hH78bcyLZ4l+6ldSxnO62tV8SSbhSrvOvbvuzbwVXM3CZ36L2l3/L/beHxLd8gpSKbRdr4MQOM98CoZUhgtut2UGxxnPsajk7Mk4ZeU6S1eFMtbgCyGYUxdgZpVBS3Ocvh6HVRvCzJg9vAD3jGcA0xQkk+kvSlGJ60i7ed2m7Zyb0j8SqaDUNpiuBxi4JRkAUK5uwGjtbQ2M+TCvHmG7VqgyAm5N+F0Bd93n0Lbhyrr/m6Un/juVh99FbXwaMTZXeQxub/BBkBIJyF1vIN75gfvZhq2IFz8LppmKnqsbV2H/O7Bha3bjORBEGCY6ECgqItbTh5WEa1d0bt/UME2Yv9CmYrrM2kdZN0AXgiIvJVdAeNs21vzR73BTXuJs7c9y9KTO7FmSRfPVcLr8EHfvQWuboLjM4fCdARbdULxam9kwnT4N5tdLLl3W2XXa4fW+PhRwJyH5hQVFGb83EiXh+B2Ly/0Ov7SwaFQ7qFzMKzbYOCPAO9fjPFkVZFowD/GroefkW21RLvXZ/EpDhCeqg1lTqaWUoIbmwSR4tdOarvErjRX8t1N3KA3qfG7pDCrCBsUBg9HlOYLSoMGz88tZV1XM1890862zd1hUEaIxoGc0dNXQ+B2Jrhs4cvScLKXCVmArheOJxQGlwTyupZKoeBzbCGOaIj8BMV9928fH5xHAN6A/BiilsCxrXB/nlpYW4vE4q1atGvV3T2xqLIFAYKgPZOFvKM929Ay5Mydi9PdKVm0MM2NW/nXUU4FSCkfTUvKxumGMUwSXSlE+W6d2QcA1Dkt15taNXtFFLZlbNGVIMTcYDGWtOb7fZFM8DwSCSKlSfT09pHSjL0K4Y+HyhSS27aa+jmTxshCD/ZKzp+JEijXKpxkopbh53aa12a1Fr5pnMGu+gZEmJTAZV1xrtbjYkuDGFTfddvqM4fONxyTnTw5y65arrrt8uU2o2Fu4CSgqSam1lQbunzhdabnO5qeLaW2Oc7k1SddViyVLBJWlhTtGrKFQfGACAmfj0rdH4PZXH/7vwNG9hPbvIrFpO8m1TwDusM/YTzgLSsHNLo3rV9wSiOo5NkXFiivtBs1s5NYTlSw/8GUCM2qQ5ZUYp/bjbHkRyqa7qtw244yiTL9BSpBKoAL6uDaybecSCGDF2nBeKvC6KZi7NABKERqRSiu00RkAmu46ZhzHnSMGEg5j3UrB6YJlT4RHtZFSSvGfD3XRNZDkT19dQWIodVsXguJ4/zijUilFQkLc1tCERrGp0AwNUTzc37j3ns25kxrHm75EZUcLi+f3EZlRmt2IjkdTedXa6UOu8bx2MxSXwZ6foM4cg5c+i9r2EloggHrjf7uq3zt+JvM+hQahYSPVNE3abwa4ellh2zBztqRmjkOuhgqaPlQ2Pub5N4oj2E+9yuw3/zflqxZzKbCCjiuC7juChfWKmipXQyIag1NnNSIRWLccGk6a7LoW4+V54YzGpe1ILoo47RjUR8O8UOEQC1m8eyNBTURna1XuqL4jFd9vj1Id0XlsVuGOuVdrwxztTrKzI8bfWpxbkVtK6OizOdCV5PnaEFtz1E97yuVj/gqOBQ5ElOL/WGSil1VgBgxChjZKfM7D1AUhQ2Na2ODXVs7g99+/yvda77KgIoSRSU0sjdPV0HUsS6Rq5QctOc5ZPfxbM7dMHH2cJE7cwDCCaJrmZlnY1lApj+06eILD12miCtzKsnMLSfj4+PjkiW9Af4RRSmHbNpZljYt+2rbN6dOnqa6uZubMmaM+y6aQHQwGicVGG4JePbSu6ziOM85Qh2H1bcMwuHwhyc3rNosagw/ceAa3/Y8mBA5DirZpeswCJBxJ3RKTgX7J+dNxioq1VOQ1bkvsPCPKSUcRNPSUEf2gyeQQGfl5KBTCcewhB4lEDVlYtq0IBg2ig5Irl5PUzDMpHiOspmmCFevCHPpgkJOHY6xYG+byhQR3b7vprivXRzAikMxwvQIhQX1TgOoeaGuOc2x/lFk1BosaQ9y8bnHpfAKlFAvqFTXVkuioFdlQPeCQsIzlqLzTMydCMKSxYm2Emnk2507FOHFcMqNSY8kCOV4wKQNKKSyvBZWuCjL4nTHq22ORI/rY6h0XCO/8GtaCRmLPuTXIrlMk78Ol6O8XdF7WiUU1ysol8+psvDVrSZPFzRsaN67N54PH/wMLj77BnNiPkOFinK0vpfahJCSt9HWuQ9nNboq/9/NMAyFGG8h9PQ5d1yzqFgXybqEWTTopgzduSwzNNSLSjRPDFDiOIpqU2Hk6u87cjnHhbpyfXzqdsKmTAAxNoziggQy46lojEEIQ0sGTVhBCg/DoSGpZhcGGrUVc3dfGRXse+48Z1NXGqFtgoRtpnmUl3dQAQFzvQP/eXyLnLUS++isEIiZq3Wa39/a3vwKH9iCfehGO74ftryLK0mqMu4TCKeX0vh6bU0di3LsDRcWKxfUOkaI8rpFwx2TE0MZdcyFA3/wUat9PCfz0b1j4W0upmqXRcsH9d71LsbBecr7NjeSvXC4xDNhRE+LLzf2cumuxavr4+fv6oM1/bxmgpceitkhnkRZgzmARi2stbsUl37wUZXZEZ3FZ9vfPnpsJbsUlf29pcVZxs0xMD+k8VR1i17U4z9TYzCnKvaT6TluUiCF4qTb3hJLrFSSEQNM1dCnRhRjlQBpLyNCwHEVRQOf5BeW8fv4uJ29FeWyEYNkorPHZaO67RsN2XFHNTMYzuP3M8zZXE3HQFUrZ4yewmOPW9w+N04kkeinbApks5Ix8fHx8suLXQD9AprLOxos4Z0obbm5u5uDBg7z44ovMnj171Ge56ow8o9wwDLcP5Ji8zEQiMcqIllJhJV1Dob/X5NThOLNrTJavKbw/71QwkHBI2BaJeJxAMJTVuNSEIKxpHN4bxUoqNm4pIhAW9I1YlOeDp2jq1Rynq4F2xc3yiGoDSipuXIWeO4o59YLS8szX0TBG17Png5Ry6J+DaQY4fSzG7S6bx58pJhRKvwgb6HM4tGcwJUC2sDHEnDp3HPUkcl8vN71Tp70tSfuFRGohVDkdlix0CAUVfZZKf30CQQiG0IXIWbc3FSgpkX39dFxRXO4QCKC+TjGvRo1LUx5bAz1SEThsaqm2PbYNlzsEd+5lvpcKNztiJKYJdQvsVPDEDIAW7afkv/5LVCDEwG/8M1SkOGvds1LQeVlnYCC9dRuLaQQCirl1NuUV6ZXlE3G4clHR0x+keOAq80uuMO2J9fnVOqYjXDRKaV0pxbH9Ufr7JI8/U5yX8nvcksTsMWKBQlAa1AmFNESac+uL2QzG8vMyOFLx/3x4DUcq/uWWOUyfNo3Bvl6KAm7N5kiV4oyEIhkjy0o62H/27zkf2sCNGRsIBBSBNFOzpsGcakVVUQ+BP/9XoBTW3/2XUFyGboBpDKV4H/0Q9cO/cWv2i0oQv/vv06pzuzvVU+Ju7RcSnDkewzAEdQ0BSssTiDQGVDp0A4KmyFqvbB87hPbXf4aqnI0yTBRwo6yJ87NfJGGWIJTDuvavMH3wMgCW0PiNBV8ETaOiKDQq7UIB1wcdTE3wM3Vhts4O4liCs2fcC1dTZ/Hlyz0MWorfXVVKZSj9/H+h1+LPzw1QXaTzD5eXjHtX5aqB9hi0Jb9/pJe5RTq/vbwkazr22XsWf9rcz88vivDsvNwGtJ3GnhyLlBItGKK0rCSnc9GWiv6kg2U7/MsPrlIc0PnDbXMJjXHaKNt2Ve3T4DgOsUQcu7WZ0gM/QUumF6pEeI0Rx5xD7WJiW15ibDF9IBCgOGKkLxMwg4iiYqSjSCYVPXddZf68X9HSLT9oWFnE7JrxD5hfA+3j41MofgT6I0gsFsuaZm3bNqdOnaKqqmqc8Qzj65/HYhgGRhZFIM9Y84xoZ6gtSjwqaD4Wp7RcY+mqh2M8S6WwlEIIDcMwc/5Wb/tVG8Ic2jPIiUNRGtcHocC67aSjCBliqObYNUBc54OeckIIIbAsi2QORee+HrdfdXTAXTeeOaqYWaWoXTjcA3Yk2e5VJoZV2A167zncvGZTvyiQ0XgGKC7VWbkhQvdNm7qFAYJD2yZHFr5lwRm61guWBKmqMWm/mGB6hWRmmbtQj9oZjGdwo29GAEfXcOT9jUIDEI+hCUn9PJg9U3G+TaPtksaNrtxCSNaIHsaWowgIwa1uaG3TSCQF0ypUxv7hVproc2+P4PoVnboF7jPvOBB5byciOsDA3/pHqIibOupkqXu+2qlz+5ZOaZlMW6dcPi2zsrJHMAQLlwn6Lt2gQ5ZzSs1h5nlJwwI1gcxIMU4R7c5th7vdDkuWB/Mynh2piKUJgUnl/j2cpiA/6Ugsr5A8jzF74NoANwYsfmP1THRNuDWyQ8YzgDBNlKZlDosZRta0bKHpmM++yqr/+vvUbBmgc8a2tKrLsQScPa9xIzrAMlFG+Bd/2U3dxr3vmhDoQROe2AHrtqB270TULx6qh87wO8NunfDNGxanj8eYOdugaV0YwxDcieqofjuPECgYuqAox/3SVq3HuXEV0XXV+xrVXGfGra9yuWQdJVY3081+KK8EwAR+rf8Ye+U0uCdQM2ZDxcyUAEBDuckr8yKUBDQsqdAELFpi09Zq0N4a4OcqpvH1u/f4s7MD/NOVpYRGpDX3JSWvt0c5cCvJ9KDGz8+fXIeBIkPj03VhvtEW5Y2OWEZBMakUr7dHmR7U2FaTn8Mzn1IMTdMIKRsNr1VEZgxNENY1UIqfWTyNr5y6zd7OfrbPLx+9YRa1bX2gh8jOrxM6fwKrvBJrelX6DcV4ITFhWQQPv0fg7FGi21/DWro2dU91oY0rUUlhJVB2EKncd92Vy0migzKVMZYVKcFRCF3kLEXw8fHxyRd/OvmIkU+NcmtrK7FYjG3bto37bGT7qsngGdGJhKuybVmK5uMOuiFYuT4yTjH3QWE5CpQbDTfzXNUnpSQS0mlaG+HYgSgXziRY0BQoaFFl2TKVPhcMBikuLiGZHL8IMU0zlUo9bh9JRUeb4tYNN+C6ZIWgfDpcvay43gl3byvmLYRZ1cO1nbnSt3OhlOLC2ThmQFC3MPeibvoMY1T9MoCVoa9sOuK2JKALIsUajcuMlLq1JRVJJ9t+lFsDGgiSVM74VEXDSKX4TRaVTI5KXwyHYNVyye1uON+mcfSkTtWQENLYISaV2yfcY2BQ0dopuHtPo7hY0bTMoaw0/XEdqehP08v2SrvOzS6NWVWScEQhum8SOPQ+ybVbkLPnuMeVmW2d7tsaN2/ozJjlUFs/eQWe0vnTWVoLN6453Lyhcffu6HrWvDDNUc+XNw7DEVcYzHVACRyp0hoRSikGs2SJ2EqRdCSBEZ4KRyoGhtTNDSONjSCEq6g99JWELdnZdo8FFUHW1hRh6hrTSgLcscaMs3AARkXhhnKadQOCwbQ57dIZFl1UtYuRKzcxY9/XKf/t5VA+vneTkoqutz6kNbCGD9f9AfNiinpHYYQCEAhiGwZaQKDpwjWaX/tb7ve89mjOmB9rBhGmyUCfw7H9g5SWaazdXIRhuOdajE5ChJGDgyiVJv1+CMOAiJm9tzO4ZSC88BmSYzIkBODJW9o8P+o7G4GN97ox3vwG2jsnkDNrcF75ZVTd4lHbecZxsakoWmVz9apG13Wdz+iV7Iv18T/PD/B3Gl0n056uBG+0x0hIxQtzQ7wwJ1yQcFgmtswOcWXA4cdX41RHdDbOHD+XHrqd5Oqgw68tKULPYeiCO7TzibAGdeFegzxFCEKmhi0V66uL2HW5l++ev8uWeSUER0ah05Rp4dho+3+K/u4bKCm598Qr9K19ypUWz0BxQIyLyOs3Ooi8/U2K3/gK1okPiT73c4iZNWiahuNkMKABYlFkoATHUdy+aTO72mTpqgzZFUMoKWGgH5REDwcI5Ejp9/Hx8ckX34D+iJFOTXkkjuNw6tQpZs2alTb6PJFoZSaCwSCWpZAyQetpSCYU6x6P5F27eD/IboRlJmZLSqdrzFlicvW8xfVLNjUL8n/Z2kO1q/lERgOB4CjBMaUUt65DR5srcFRdC3PrBPrQYrZ2oWDGbDcqfanF3bZ+sVtWaZgGVgZl4Xy4221z747DkhWhtAJguVBKkSwg1V0pN725KKCnjFSpFNF8jHDpQDxKQghCY9NFTRMiuUV8cp6fdNya6zTMqIRpFZLLnYKOK4LbQ0JIkYhKrTcT0k27VApudel0XdfQNFi8UDKnWmXtg2tluI5VNQ7dtzWuduosarApevd7YBjEn3rVPWeVVu8HgIF+QcclnZJSydzaqZOv1XWYM89h+gyHa+1Gqp51yUJJJM2aVojRfcfHRp9vXLEY6JOsWBtG0wS6LjBMgYHbZk15wmPSNTzjtsTJMu6E5vZwNkLuAl4qRX9iuEuBpgs0ObytNkZwDGD3xT564g5/d8MsDFMjEtAxA3rKyPRQkRBoMtW3F93I6XxTujtfKuVeC2f7z6KdOYT+0+/gvPyFcdvrx/ZSe+CbzHyyh9aqV+i4qtF1GxYvN5lV7VoclqUICEalrQtdh5JSVDw6YlwLCIexkpJDewfRNMH6J4pH/a6QoZEwA2hm0jW+h4wapYb7GQMEDUEwTwNU08DQM4/VtFRUYn/htxHnjmP86BuYf/lvcVY/jvPs56B4tCfK0ASRANTMdZhe6dDRbrC5t4zbvRbfa4nRmkjQMeDQUGbw8wuKmB2ZovYQQ3xufoQbUYevXRhkVlinbkRbKksq3uiIMa9YZ21lIHOkFRC4Il3Zp1VByHBFClMGqp0YZUArpTIGksOGAHQ+0zCNPzncxVttPXyqwXXcKMcZlzcu2lvRd34V7dY1kotX0rv954iGS9yuAFnO0lGj/UdKgT27lv6/9U8JnPiQ8HtvUPo//g3OE88jn3wFGQim7TQAblq5IxPcvavh2DCzOo/3cyI2MUVFHx8fnxz4BvRHCE80LBsXLlwgGo2yZcuWtIu4yUQrx52PVBh6gCuXLHrvOSxbHaKs4sEOKd0QmKZwW2k4CpnIIz1zqBXMSBQwAMyqgNgMjRuXbMJGgmnT8zcOrbiWatHkaMLtoTkWTSB0A1MIEo4kOggXWxQDfVBaDvOXCCLF4+9bpFiwbA10d0H7BcXpI955JYf+TZxwkcac2tGLEc+Ytq3svz/p5BkmGfUdSVBq6JY7lmNOltTtNKihKO+o9EDLQiWSiHxkoLMRi2ZdcOk6LKxXVM1SKSGklgsDZMr5nzbdobZeMj1XD2ylSGSwbw0TZtc4XOs0GLzYxcyzR4hufQU11PM3U8uqZBIuthqYAZi/yC68xVQehMOwdJlD311ovSg4fDzz/DKzUrF4oSQUFKOiVo6jaGtJUFquMavanT9GZl8LIRC69zdBLCGJZ2svJ9z+5lK5YmHFQZ2B5HiDO5vDqC9h81brPdZUFbFouts/PlOkUui6qxRfAEIIDJOUdoSaMRv52A70vW+hnzqQ9juyYTX60y/SqCmqqxTn2nROH43T3ytZtDSEUpBMKgLB8c4AEYqgDNOd+wJBQOPo/kGig5JN24qJjBmfhiYwNYEVjsDA8DwmxLDhJ8iduj0Ww8ieLZEJ1bgaa8FS9Pd3on34Ntq54zg7fha57slRvdNMTQCCUFixuMHm7h2BdVGnsqeEa0Lya0tCrKssLLsoXwxN8Hcai/m3J/r4s3P9/N7KMsqHlOTevR7nXkLyK4vcGulMLenAbf8kEMSTrp6CrUgJC7oCdYJAGocPto2SEqFpOI6rJ9BzN/1px199AAEAAElEQVSkEinSWPd4mKaZRSytDPPGhXtsn19OcUAfHX0e6EP/ybfRj+9FlU8n/gv/B30LVuI4cKtD0X07QGm5xeyqOIY5fhJypMLUBErBnbsG7Z1BAqaivi5OyZot2EtWU/z+GxgfvIk6dQD7pS/gLF+Vtqe8VEA8zs3rJoYJ0yqzr2WUbaeE93x8fHymGt+A/ghh23ZWQ8NxHE6ePMnMmTPTilbkm+7rOG7EJ1dE0rbhxlWLax0Oc+tNquc+WIXLkVEtTXONaGOoRlgpsJOMv16OTLWCSbtPoLZeEo8ZtLdphIJ2fkq0DKlxe4s5JdMbYg5uEasNHRcl17sMTBMWNgpmVImsCzshBDOqoKISum+CUoJAOsWhApASZlYZo9qNGKZIRaOUHFZYT4c1wYh/NJ6kREmSUk1oH9ZYAxogHkWZOiJdM+o8UIlE3uGxogisaZJ03wFExFWuRxEfEUmPFClKSt3/lkplFReK53AizJotud2luHbFYG5RGYMbn8PwooFphpmU0HbewHGgsdEeG/CdUiwFs2cpKqcrurp1ZBrjNpGEK9cEdw5rzJ+vMa9k2HjovJQkEVcsX+Maqm5EOPO1SijpGp0ZrtdIR0HCkci4Sltbno2dLfdIOorXlk0DxkT6pghdF0h96PkyTZynP42qnD0mHXwIM4hsemzoxwnKZhexsVqn5XSc9ja3R3vV3MCQkJwikEYrQRhmyuly9mSc2102TevC40oyPIKGW19MpMTNd3fs4TZawjWeh6+JGI7Agxv5y4BhMC6VOy8CQZwdP4uzcjPGD7+GsfOryON7cV7+JVRN3fBmOiQdd3xNr1SsLrM43WzweLKMxoiNELkPrGuCkqCGY473Og2mKbPwKDE1fmtpMf/xZB//37l+/nFTKQlH8daVOMsrTJaUDz+I6aLQRaaWSoc3BGjePKwUjhpfUzwOy0IFApw9EaPnrkP94sC4seA4cOl8glNH4qzZFOZzjdP5v/dc5fWWu/xy0wz3XkuJduR99J9+B6wEzpYXcba9Sr8yuXcXrrQbJJOC4hKLvh6T/l6TmVVxpk1PjnIKOEMChZc6gvT1GRRFHCxLcOZsETNnJFk8P4jz2t9Grt2KvvNrmN/4E2TDKtSnP4+YVjnqvJUE6Uhud9nMrDJzt8h6CB0xfHx8Pjn4BvRHiHTto0bS1tbG4OAgjz/+eFpDLN/0bcdRSMdNbcxUy6yUoveezdmTMcqn6SxelmePnynEDIw2OJMjFu5uew813lbOQ1lW02DhYpuzZ0zazhs0rrDyMkAcqXCUyloPqBTcvC1ovShIJjVmz7SYOyeBEQkiRH7X0DAFs+eAaQYITKKvpRpKax0plWqaw6nj4F5jlVBpI0aeANtEcBJJ4mq0wVkISQnjM4WVG0EuMBoIQ2mLBS64hHDTusvLA/T0REk4iliGyKglIZjBrnekIpHDiaBpMM+8RFtoAR1P/G1KgiHSZFq6v0VB+yWd6KDGgsUW4cj9bbSglGugmobGnEXF7nVM85zNqXLF2C5cUNzoGqSxKUSkWKP9QoLKWUZKECibfoLlSBypMAJgZdDiG+s/KdR4vjmQ5L3LfTxZV0pVift8BY2pNZ49DHMoGmuYqGAIuXZr7i+FIwjDQAANK0JEByRnT8aJFOuUVehIx80cSecAFUJw5XKSS+cT1C8KULsgs+5BQB9KfzdGGMYKAjhENAdNKtcCHJO2rqST1YCeUCr3SGZWY3/x/0Q7dQD97W9i/Pm/Qm54CueZ1yAcwdTEqFKekClYtdTh7Bkt7/k8oAtMTRuKaI9G10TWVnNzigx+ZXExf94ywNcvDFJsCuKO4tN1o2csx3bnEM/hY2qj0+FHHkIIQV5D0ErS3gld12wWNgapX5T+/obCGmeOxTh/JkFjU5jNc0r48aUenp9fwszONvQffg3t6iVkfQP2y78EM6vpGVRcaNPo7dEIRyRLFloYgRiJuMaNqyG6roXpuRugak6M4mKJ7ShuXgty53YQTYP6ujizZlhICVeuBbnRZXKvBxbNV1TVLkH91h+4NdbvfB/1R/8ctr8CW59HDI09KeHuPXfczJyVI6MnkczqKPfx8fGZLL4B/RHBtu2MLavAbWVx8uRJKisrqampSbtNPtFnpVRqUW4lFVqQtK1g4jHFycNu25OmdeHc3uApxjDEqGM6cnyUSdPcgO8oxorpZMAMuEZ0S7PBxVaDWVXpU+FKStWodDMrS23bYBRaLmjc6xGUlihWLZcURSCexF0VFNaJCiNdv9gCGBxKa3UchekIIiF9lPHsYQbEcL3mCKwJpG+ncCziGcZzx4DN3Xj6z+aXGpQFtGGjbey4s21UPI4IhXCkIm4P1VvnIhZFKUm/pca1kfIoMcf3uaW7CxVwB0Ayy6I6KVXGWtFoPhF46VD/4V9wc/Hf53LFcpbLzIvDrusad7t1qufaVEx7MF0KLakwgyZC01Ch8FAh+Oh7GA7DyhVwOxqi9UyCwx9GiRRr2DYsWjo8+LNNUwl7OJVVN4Y7AKQQIq+5SClFS3ecqDX+uX6/vQ9DE7zaUOGejxCYmWTTJ4nbp95NvcYMZDU8AQiGRrX+0jR3/vU6CGx8sohQSMO23eda09z5WxuK6t/ttjl1JErlTCOnAJMQgqAhiFnD17wooBHMIhoFrrJ4VmVyJp7KPeLkkCs3IZesRN/9PbSDu9HOHMF5/ucwV24al6FgBmDhEpvzQ/P54sZsJQ2C+AAkitKfnCHSvFfGsLoywCvzwvy4M04xOptmBahJ0yPatl05AC+i7yEleUfoRdcVVGkFRIq5fcum7ZxiVo1B3cL0zlVlW8wujTJQJ2hvtygugl9YNp2D1/v5X28f5emzb0FoOvKVn0HWLUZJQeKsQ7Lbve9ieoJEuUVbEogrFhQ71C+K09/jcP1qkMsXipheKenv00gmBdOnW9TPS2AOpXi7ZTAOtTU65y5onD2vce2GonGxQfETLyBXbMB866/hre/C0X3w1EuoYAhlw62+egxRwfTOY4jb6R3OSklEPDb+3RQwUI3LEdNn5ndhfXx8fLLgG9AfEXLVPnd2djIwMMBjjz2WMQ04HwN6bEQrXU2dlJJTR6LEopK1myOpdkYPCqGNTy9PJx4mNOHmZHsvUscpaMVWVKyoX+BwqU1noD/9otEwFXPnOUyrdPtMJh01qmWKd1hPeErXoGGRHKFYrGPqBpZjoxzHrafMA1dNfeIGdMxysEZciySKokyiNkJgBlzRo5FMVLANJ/3KuTcp+c7lKIdvZ84SKA8Ifm9VGWUBV0k2XYSIRBxlmkQtha0UmgVhM/O1UvE4ODaDdmbjGWDAVpQMLXYBxNVLGH/5b4nPqML51d/FEZk9IJmyE5JSZY1meYROfIjZfZ25T/RxdqCa2zddVe5RPzvhplb23NOomO5QVf3gxHOSDkRMd8EuNA0VDrv1tmMQAYNZZQEqZ5hcak3QcTHJnFqT4hL3/mh6mtrOIaRSo5wUuiGGUtiH/5ZvnfcbLff4Qcu9jJ+/tnQaZUP9xgP3KfrsoQ2117EDZnYD2jTT9nQOBDVWbYhwaM8gJw9FWfd4Ebru1p06DuAoHFtx6UKCjrYk4YjG2s2RvBwNQV0jZklMTVAU0PNvH6ebILO36zNNN7W/4FTukYQiOC99Hrn6cfSdX8P47l8gj+0h9MLniU0b3V6pqEhRN9/hUptBZ7tObb0zrgY5mYRrnTp3ujVMc5AFdWKcuryuCTc3OQtKwYZQhGlmCYYUVJVlcNwqN2O6LDK6RCCv19RAH/qP/wb9xD7kzBp6vvAvOHMuQkmpYNnKcNrnSCkFMVdYa8E8GOjXaD2bZE3HGT51tYXvVG/hyPJfdjfuh5ozCTZrpZQJg0syxgHZT/SmhJvD+5wR0vj5BRGWzdKYNt3i2lWdW10aobBiyVKbygrQleGWoKHQNY2AaRIMwLpVkhs3BRcuCY6f0ti8QaKXTcf6hS8RuHgS3vgG6m/+h3vdhc7tLV9m5p2DBH/653lcoP+fvfuOk6K8/wD+eaZsvV45rtF7OUCQqlIsqNhA7ELssUSN0aAx0aiJJdH8LLFFUUPEiqIiqKAoKiDSjl6O3g64XrbOzPP7Y273bm/LzV7h9uD7fr1IvNnZ2dlpO995vs/3CbG5Z/4ObMykZr2XEEIaogC6A9A0rcmhq/bu3Quz2YycnJyQr4uiaKhwSuP+rqH61BVt9eDYEQU9+5mRnHriDyFTiNRET4jxYAH9htr/UKCJFPhQUtI02OM1qErwZyoKcOiAiD27JBw/piG/qwqrLTAgOl6qD33kcjF0qhv6qHGdK7kun5CDgzXRuuPTkmJwbiWwCJMkM0CAv+BSKIKgB9G+it/6cE3NDNCUwABZ5Rw/HHHj831OKBrHBbkWFKSagqq7Vno1vLa1Bq9urcbvByaAMRYijRsAOFzVNVDM+nisLkWrG8M3OLriigK4XXCpWsDwUyGXyjlqFSBeZkBVOaS5LwLWOPCjhyB9/B9g2u31YyCF+tqNshM453AaSWH3uGFf9hk8OT1g698VCds0HD4kIjVd87fkHT0i4MghfeHZeQoyO2nGh5RqDQKDIoiQoaelMpMJXPX6i/hw3/9I+sEvSgw9+1mQ390U8DAscvp2cD9xSQ5M5TYSQK8+VIPPt5VjVG4czu2ZFPS6LDB/6jagB5FtTZIATRWhyabQqadM8I/bHEpcgogBQ60o/NWJrYUu9B9i8V/vjxd7sW2jCy4nR3a+jP4FVpjMxr6TKDDEmUSYGw8bZ+QLhcuxr8MYIEvNuiwH4Z27QLn5TxDWLIO4+GPEvfoohJFno3bslLqiabqUNA0Oh4riwyJsNo6MTvo1TK+aL+DQQRFcA7rkaqh1yti2EzhcN/Z7Ql3PkKaepzhqGfbvFVFTLSCpLpX5+D4ZqfFeWENcsCSBQeCBC414KdI0CKu/h7h4nt4/eehYKJsKsWGtF6IVGDyAh8wkAqB3r6j7QWQMGJB6CKuPmLHB0xVTlKUY1RdQ4pOheIDjhyTUlIuQzRrScjzoZANG88CRDkrd+pjaL26uwdBUGZd3syOvC5DVWYUo1WWBcQarLEOWJCiqCqnBvQhjQOdOHFYLsKZQwIFDDF3yOMAB3nswhPv7AceK9W1YaYH3UBzSh/WAd+Lf9GEoQuEccDiCWgMEiww5Lz/ChiWEEOMogO4AmioepigKDhw4gK5du4Yd49lw+naovq4qoCgcksRQctSLHZtdyMiSkN/dBEHU06kZ0+/7lGb2aTVKkllQSrmq8bDBjyA2+B0NN6ZHE8xmAOYwab0Jin+IoS0bJWR00tCti4Zah4bCTQKOlzLYbRzDBqtITgq9fMaY3peZMTBzlHncUVI0DkeD4FkQmb9yuFvVYFJDB5qAHtxwSd/HzW59BgI6P+6uUvDerlocqFXRL0nCFd3tyLSGPlZzAMzsFYfXt9VgblEtru9ph1djQa3Qisbh8noBuACznuZX69UgMBZQhIdzrg+LpWmG+2KrGofD5UbCey8BbieUm/8E29H9wMdvwP79Z6gdf2nY9zZO43ZrxqqP2375BmJNJSqn3Q4whpw8FVs2Sig+LCIhUcP+PRJcLoakZA25XRS08SEUgDE9tmNmGZABS4PAjJvjgOoKQNP0CtFeIWj4qoaBnG/s53DcIfqXM8YgyoDqSzNuIs7bX+nGG2uOoXuyGTOHpDeZmi0JzHirawv4szx4+CBZnw/+Imv60Ft6lhDXgIwsGd37aNi1zY24BAGZnWVs36QXC7PHCxgxzorMztHXTIg6eAb0gmJGZhPrElJaY4Q1QYA2/Cxo/YZC/OYj2Jd/BcumVag+9yp4ehX4q9Zl56pwOvUg12LV09z37RHhdAhISNQwoDeHzQokJlqxfWcVduxiWLVWQE5nju5dOWSJhSxip6rA4YMijh4RIElAl24KUtM1eDzA1o0yirbL6DvAG9DlhzEGq8j039gGRTHDDQTADu3Rh5M6tFfvnzzlemhpWVifWg6Xasdw51JY5DPBNTWomCL3egFP3UMNjxvi959D/vlrDE3MwfJhf8HaQXdjePc4HN5dg/27NHAN6JavIT+PQxREuDU9G6GhnDigX7KMJYdcWHjAic1rKnBhnhUTOlv8GQ6+05YxBtn3BZkAiIKeqSCJSE6QkHa4Bnv2M3TO4jDJ+vYUTTLQOReaBzhaziCKHCnd0sET4yNma3GvJzgDxmoCa0Z9DEIICYUC6A6gqfTtw4cPw+v1okuXLmHnMVJALFIjt+Ll8Lg0rFnhgNUuYNBpNlgsgcGsJOv3Taqq901sTvdYVePQOCCFGKZDEBA0BiugB37hCL40bm9wn8zWwBiQnqEhKVnDof0ijh4RUVYiQFX1H+8uXVRkd9Zv0twqILIIlVQ1DVzxGm6FjpbGOWo9akDfsMb3uQ3Hzg1FkvXtqSmBw4WVORUs3VfVZCuuntKgt0pWeTnWlniQaGK4uU8chqbKTWZJDE0z4cI8KxbsdyLbLuH8PGtAAM0bjClddLwGB9xOnNUlEUwUUOtREW8W67+b2wXFq/hvCt0qx+JDrpBVdkWB4YxOZmRYBJg/fwfCwd3wXnUXeKdcsF794SzaDvvPX0LJyIa7/whsKtO/44CU+oBF1Tj4tvUQy4/De9qZcGmBN4ChYo7aI0fwzSEFtcNvgsfdCdilH1cZZhv4YROKD4swmTl69PYiKTlChX6N4+djbmTZRPRMaP7xxYT6wkeMNRiGx2qBounbv751iYHb4oCaKr1ivlVGpCuZECF4DlXjwEcUGbYdc2JfhRsTeyaGLfhV5Vbw4opi2GUBd4zsZKhfc7OCx2YSBAaTKUxZAaaPpxuqHoXJVD+mdNeeJtRUqdi5xY1d291g0PuX53c3wWI9cd+FSRK43n+myXllCVCgB9ItSuf2sSdAvfRGuAaPhXnBHCR99G+4ew5C1UU3glvtYAzo1l3B1s0SirZL0DQG2cTRvacXnTJY3RjJ+vHbKYMjLYVj116GA4cYjh1nyEjnULgQ1EpcXirA6wXSMjTk5Kn+YNhsBrr3UrBjq4TdOyX07KP4zxubVH+tVRoUFWt8DHCHA4d+3Azn8SogaTz44N56xfZKwHGEoYynYYDjB6SufBtKhlUf3stSf33hmga4HPr32roW0pdzwSpLoQ4ZC9M50zFIjMO6X934cXE1VBVITQZ69wwc090sMHgaF1CTzZBFEZN72jE8R8EH2yswb68TK457cfOgVGTZ9WuN6kv/ZwCY4C8M1lCP/las/N6BPfsYevfgAeONqypwrIQhLYVDtJnBRBFMiPCgQTaBy57WSW8ghJAQKICOcU0VDwP09G2TyRRy6CrA11+26ZsnLUKrorNWw7pVDqgKx6iz7LDaQi+PMQa9aCuDWlfIxvA9EedwePXCVowxSHUPqWVBbzmUTaE/s6nWUEEANKVtx4OUZaBLdxVpGRoO7BVhs4volO2C2Qy4NQANdqEo6GN5huy/6/UGjJHbWjjnqHWrAX18RSl42Cw9yNYQH65kNPQgiot6pVrO9dTvl9YUo7jGC0uTQQn33yQLDJjY2YIL86ywRNHP9PxcCw7VKpi3x4Esm4gxneqLybhUjgq3ik/2OrDymL7PnS43zu9ihyZIqPFKiLPIYAzQXE7UKvUp6W/vqMG6Ui9sIQI5t8axvtSDv3pWw7pxBWrOvASszxDI0AvHVU++BmJpMRK+eBsrrFl4+Yjeknh3/3j0TpIhVJQg/pv3Yd6xXt+Gv3wL+dxr4O3WT98WYqPiWV4PpGWL8GxlLnZkj9P71R+rP4ZtUHAGkrCfu5GaqKBXghUISnrX7az04r1dDhx2qDCLwAODEkIWNApFb+2sD5ZDPt8QZb31r66wW8Pxkpkkg5utgNsJ0WoG11jYYdEiFg8L85Cs0qXgg02lWHmgBgCwdF8VrhqUhiFZtoBjW9E4Xv7lKKrcKmad0RlJlqa/f6Sxn9tKpIcI4TSsUcAYQ/8CK7weB2QTQ6/+FlisAkymyEPktQlJMpT1w5h+/ZQ4oKh1D3JbIZAWuvRC2U1/hvXXbxH33SdI/OQ1VFx1NyCIECWgZ28FRTskJCRq6JyjQqy7poX6Gr176GO/79gloPgYA8CCglyLlaN7LxVx8cErH5/AkddVxb7dEg7uF5Gbr0IO8RvgVfQK5X6cQyhcgWOrdmBb7xsh5nj0B6wagGP1s3XN19Ap53Roh3+A+Omb4BlZQK9B9TO4nEDpUUhfzoWwfT20jGwoNz4I3qUXYLYg1WJGn0EM+3d70L23GelJbrAQDxJtIkO1L4AWZcBSf+1Nk2XcMdyKwqO1+O/GEry7rQL3nZ4FxhhUSYTUxMOo+AQJ2bkiDh7kyM3WswDUuuHIKioAr5chIwN6IT0GmEwMbleEA8Vs1TdoqzyVIYSQQBRAx7imhq5SVRX79+9Hfn5+2CDZyFBHXAudvg0AFWUK1q9ygnOOEePsSEgymJ4nsfB9sUKo8agQTIDQIBBQAajggMbBwvxYNpUGKzBAa/aYKdGJi+foO1BBQoIdVVUhxnOF3ppWq3GIdcOWmBrcRGleD1STXkFaUXnEFruoNdhOehXj0PvGo2pwKyxs61vDBxYcwOx1x3Gk2ovfj8lC/4zgfmmcc3h9BcgctS0eXkRgDDN6xeFYYRXe2FaD3DgJeXES3KqGxQedmL/XCbfGcV6OBaVuDZ/vdyLLJmJImgmq4oHDw2ATGWqV+hTqhQdcWFfqxbSuVkzKDu6ouLvKi+c2VOGV8gQ80Hc4HGMvALwc8SZ9aCWIEiqn/RbeOS/itf0MmXaACwJe31aDvypr0fWneQADaideDrFTZ0gL5yJ57nNw9RuBmnOmQ0xJ8n+WtGMDLAvm4rWMs7Atqwtu684woktyXWZH/TpVe1UU7/Xg68MerCr1YHpXGwoatOJXeTT/g4RUi4Ab+9nxcZEDr2ytwazBCYgLMcZtQyw44zq0BjPVeBo9LQLAuQxB8yBJlCCJCGhZavhZkYpaeRql2GucY+nuKnyypQxeTcOU3snok27BextK8dIvxRiUacPVg9OQYZfBOcf/Co9jR6kLt5yWga7JxoaLa4uxn9tKwxoFosQwbHR9KrgosWYF5i1mMID28fWJlkQ9cFJaGEiLAgOTZDhHngtutiHhy3cQ9+3HqDn7CgB6747+g5SA+SMNQZgQrxe9AvRreHWE8aBDSc/Q4HSoOHpEhNXKkR9qsAzeoIfLsUOQvpgD7CvCjnHPIs7kxukjJTAW7nNlKFfdCfmVv0Ka83/w3vcPsKRUcEcthCWfQPzhC4AxKOddAW3kJD3lRZT8hely8k3IydfvFbgmhAw+9VoSDB4VQIiCdgAwONOOS9wq3t1cisJjDhRk2qFo3NAgE936WnHkUA127WEY2I9D1fTf72MlDILAkdbZUveQXn8gJMl6dlwoTBTBzWbAHfp3mBBCWoIC6BhmpHjY4cOH4fF4QqZvM8ZgNpuNpW+H+U0+ctCLLeudMFsYThsTh6SUtjlk9KAt8g2Jkf6ioQhQ0PimPhaoGodD43DWtbb7UmDBPI2aIVqf2ERgVFuXCRBKwwD6s63lWHekFlcNTA0ZPAOov9Fxa602NqdFZPhtvzg8tb4Kz22oxI294/BuUS321qjonSjhyu52ZNlEeDWO404Vb++oQYZVb3n1qhzVGvyt8WtLPFiw34lRGSZM7Bw6uOrpKcFtRV/ipR6XYXZGH1zJ9PTUGi8QX3doOc3x+MfQW8Br3Zi14z04TpuAJ4oT8YKzEx7pWQB10jRoiSl6avOtfWBbvgj2nxfCVLQBrkmXQOk9GJavPoRp6zos6D0Z32aNwIVdLBjRRd+uvhZa3yaMlwVc3zMOozO9eK/Igde21WBAsozLu9mwrcKLz+oeJJyfb8GUrlaYRYZONhFPr63C69tqcHf/+PD9exv0x4yM+QuDAeHPUc1sh1PRYJPFkBXdmxz7ucFyd5e5MKfwOPZVeNAv3YprB6ehU13Rr7+Mt+LbXZWYv60Mf15yABf2ToZZYli2txoX9ErCyFzjfSDbuvp2a2tYo8CHGd6PbbFCMoDoxlYH6tdZFMOPkqeqkbsc+ZhFwKUAriHjIB07CNsvi6GkZ8NVMDZo3miyDfTzxliKekO5+SqcDoZ9e0SkJahISgwxU13/ZOHnrwGzBXvOmwWHNwUFvYOrhgeJS4Ryze8gvfEkpDefhnredMjz3gQrOQKt/2lQJl8FJKbUzczCFuJiggiu9w0Ies0iMnhksx7ZhjE6Jx7f7q3Cp9vLMTDdBoUZ204Wi4D8Hibs2eFBXpWKxAQ9vf9YCUNaGoNkNeu1EurOTUnSM1rC9s4yW/QuQ80eL40QQkJjvLlRSQd2+PDhdvnctLQ0lJSUGJ7f7XY32QL9448/Yu/evbj66qsDCoUxxmCxWAxXa3a7tICbFc45dm93Y/cOD5JSRQwebkV8vBiyD15LaZyj0qVGHEIoWt/trsQPe6v071TX5OVbfIKJ4aJ8G7rGN31nubHMgyWHXBiRbsaoTJPhFqmEhERUVVU2OR/zuGD76UuIVWWounCmnr4tm8I+3W8NgsggyQwa53i3sAQCAy7um4I4I+MlN7DqYA1e/fUoxubH4zdD0ptMEVVqXdAc0d9QR7Kz0ot/baqGxoEEmeHy7jaMSDcFrEuFW8Pf1lVCYgwPDU1AvFzXf5EDB2sUPLOhCjl2CfcOjA+ZVi8d3IXE+W+AeVx47fyHsbiE4ZoeNoyrSx1PSEhERWUFXttag41lXvw+/ghGf/EvAMDanNPw9x6XY2CKCbf2jQs6fsTyo0j4ei7kos0AAC6bsPqMa/C02heD02TcMSj4PY1bogG9kvnSw258sd8Bd11g0TtRwjW97MhJCNyvy4+48caWWpyZZcZV3UMXrZLk0BWtVY3j24NubCnz4oZ+diTYrIAtTDXcRhhjSDTrfSEVLw8I9MyW8CnGNW7Vn8L91c4KfLSpFIkWEVcOTMPwbHvI95U5Fby/sQSrD+l9xgs62XDnyE6Gz1+BMSRbg68P0V7D24PHo/mLcpnMxsbFbgucc6CyrM2W7zEQFwW0FGsqkt77P8j7d6L82j9Aye3RYE6GxEZp7klJSaioqAi77Bpv05X7Q1G8wNbNMrgKjBimweJrmuUcbOs6SAvr+ye7J16OnzcnId4ODBlkvLK+sHEVpA9f0RebnA7lwmvBG6Z0A4DFFrFoJdc0oLoKQQ8JJAkesz3kGOoNFR6txStrj+Hq/qk4Iy8BiRbJ0PmnKBw/LamG3coxbLCGyipg9XoRA4aYkZVrhiSzgFoomsaDHsgFfA+PB3DWQrSaYEoM/QCtrc/rcN3rCCEdF7VAx7CmWp81TcP+/fuRl5cXECgLggCLxWKo37O+nMCCX6rKsWW9E8WHFHTOldF3sEXvL9tGN2K1Hq1Vg+c1h2vwv8IS5CeZkWKT9GGTOPPfbO2tUfBMYRXGdjLjknwr7CFSWctcKj7c48D6Ui8sIrC9UsHPR924uocNOQb7j0bEOczb1yLu6/chVuvj0XJRRvWFMwKqVLcFX7GqT7eUYemeKjAAvxyswfQBqRiTF2+or+S+Cjdmrz2GHikWXDe46eAZAESuQIu+0Saivskm/G5gPA7UKpjSxQqzxODVEHBjmyYLuGtQPJ5aW4XXt9bgviHxkMBQVqvh5a01sEsCbu0bFxQ8M0cN4r6bB+v6H6HGJ6Ni+p24NDsFh9UavL/LgU5WET0T9ab8BfudKCzzYno3G3p07o8q9ToIjhrknH42ph3X8OFuBxbsd+Ki/MBgk2Vkovb6eyBvWQtp91bsGz4ZL2wXkGUXcFP/4OAZ0FvmGAvMjhUZw6RsC4almfDVQSd6JEgYkWGCbAp+/+gsMw7WqPhqvwvZNhFnZAW2ugti6OC5qMKL/2534GCNCgbg5Y01+MOYeMM/IryuxkG8WYQk17Uc8chjP/MGYz+XOrz4ZEsZBney4ebTMmGNkIKeYpVw+4hO2HTUgfXFtZjaLzWqdOxwhcg6Allm8Ggcoth+wTNQV0ROlFot66QxWdaD6Eg/HWJdGr5Wd6BVXnYrkmf/DYkfv4zyGx6GVtcaK0c4BsORBNasAFqSgX59FWzYIKFwk4DTCjSIlcf0/sk7CgP6J+/dw+D1MvToZqD1uQFt6FgoXAMcNdDGTdZPMkWp72AuSU2O+MAEITgFmgmA1QazIMCjaFAibPxBGTb0SDZjwc4KjOgcB3uj+gjhSBJD994WbNvoQkkZUFauV5xPz6obAq/Rc15B0Ktzh7tdYiYTeBNDqhFCSLQogI5R+pBSkR+vHzlyBG63OyB9O9rgGQgeQmTDr06UHFPQo68ZXXrorXmRUixbwq1oYcdwbo6DlW68sfoYuiabMWtcZ8iaAjhrGxZ/hlPhWLDfgaWH3VhX4sFlXW0YlaF/T0Xj+PawC1/ud4IDuCTfionZFvx63INP9jjw93VVGN/ZjCl5tqgKXzUklh1D3NdzYd61Cd6MHFRedivMRRv1Ks6ZOXCOmKR3AGyDNG5f4bCVB6rx5Y4KnJEfjwndEzFn/XHMXnscP+6rxnWD05CTGP7mqtKl4MWVxbCbBNxxeiZkI8eGxsE0b0C3SElgEJieuh7tAxRZZLAIDCaZ4azcwADQ13avaPo4y16No1uihN/0seM/W2rx3g4Hruxpw+vbalDt1fCHQQlIrCtQZxIZRHDI636CacnHYC4HPKPPg/vMKVBEMwQAN/a24+lCPQ161uAEbK6pwcIDLozJNGN8lr7dXEPP9K/P+CyOQ7UqFh5wobNNxGnp+jyC4AtUGbz9h6Gq91C8sLoKgIa7Bsf5qwGHIgj6jbim1bXC1W2+ZLOAq7rrlYYj1aKb1sOKgzUq3t/tQCebiF51DwLAgm9Qqz0aPt7lxI+H3Ug2C7hjYBy8Gsfrm2vx7uZKXF+QZjj48KgavCqDLAqQTQweN494bfE0GPv50y16a+a1g9MjBs8NDci0YUCmsRbyhk7E2M9thTEGkzn6gLBNtGEA7Ss+5vEi4kM5k8j8w9Rxaxwqp9+F5Lf+jsSP/43y6x8AZHNAHQqjWvKTGB/HMKCPhsLNArb+eBgFPzwKJogB/ZNdbmD/QYZOGfVjUEfG9JLsZrOegj1usm+qH+dc3x9G7w9M5rqnFHW/0Rarf3gsq0lEtTv8vmWM4bLeKXhm5REs2VOJaX1TAYM/adn5Mvbv9qBoN6CoHKkZEqS6miqhjmvfA7mwLDZApb7QhJDWQwF0jGqq9RnQq29LkoTsbL0aiSAIsFqtUd84NfzhKTuuoOSYgp59zejSsz6Iaov7SVXjIYcMaq5qt4oXVhbDIgu48/S6YWrcerTmGx5E0wCb4sT0LI5RiRLe26/ivztrsfyIA2ekCVhUrOGIi6MgiWF6joRUswq4azEmASjoL2H+IRXfHXZjzXE3Ls8RMSxZCL29JQHMWRM4TeOwrv0e9p8XggsCqs++As7hE8CZAE92V0jHDyFu8QdQ0rLg7T0EkFo3jdtXOGxvuRtvrT2OnqkWXFuQDklgePCMbPy8rxofbS7Fo0sP4uzuiTi3Z1LQkFsa5/j3L0dR41Hx4BnZSDRQzRiAP2oWBN/Y3CxgCBfOORSupyJ7vQo0JgaVfGbQhzczi3qxH31Ys/AfKQkMcTJQ5dGXOyrLjIO1Khbtc2F3lYJ91Spu7G1Hfpy+EFlksJcc0sdZ3V8ELb8nlCnXA5k5egEcjcPp1WCTBPy2bzyeLqzCi5urUebm6J4g4crutpDHAmMMV3a3odip4p2dtUg2C+hkFSGZANagFfnNLbUodqi4ryAeGWHGwm6oPgDXW+E4ry/QJUlhKmb73ssYbh1gxxO/VuG1rTW4b2A8Ek0CRBnwNLgnXnvMg4+KnHCpHOflWXBR1/qK6QedDAt3VyE30YQJ3UJ15gyt1qshUdBbR2XZ2NjP+yvcWHGgBuf1TNKzSlqBwFjIbSSyEzP2c1uKieAZ0A/ENhwAQRD0wmORejrJAtAwdFLTO6Pq0puR+MFLSPjiHdRMvgayGvwDx2URcNQETfeROA9ZqdoISRGQUbEPvQ4fwo7O52PX0BuRf0bPBv2Tgd179Urf3bs29XCR6WNlmcxgTQTGrKkna43nFwS9L7TbBcgmsAYFSSWBwSQKER+Ad0u2YGgnGxbvqcT4/ATkJBqLoAWBoUdfMzasdgJgyOysr3O4Z8pGCopBMFY8kBBCjKAAOkY11fqsaRr27duH3Nxcf5EwWW56HN3g5dSnb3POUbTNDbOFIbdb/Q8lE0KPP9pStV6t2YXBGlM0jpdXFaPCpWLWuM56/0WOgDxXJgD2bz+F/ecvAQDpAArAsLTTMPy3+wWYXWNHhrMMDxV9htNKtwZ9RjqAewBcEJ+L13pdiv94c3Dsh+8wY/eXIdcp3M+1q99w1EyaDi0hGZxzvLOzFhvLvLhs9ExcUP4MEj95DeU3PAw1r2e4kYmaRZR9rcdHEG8Wccfpmf4AWWAM47okYEiWHR9vKcXXRZX4uih8H+7bhmciP8lIXdU6DfaDKAKWRhWOGWOQuQbz2mUQF38MntYJ6pTrwbPyQi7O1/rU1OHOGEOcCaj26MH/1O5WHKpRsaHUi/PzLRhe1xoseV2I//ZziL8sAax2KJfdCK1gTMAHmAUGVWTwqBydbCJu6mPHS5trkGIRcWuf4BTwhmSB4dY+cXiysAr/2FAddr5re9vQNyX6Ycx8Q0xFkXgCe11q+99XV+GxdVVh5+uVJOHa3jbkxAX+XFw2IA2HHBrmbihBVryMvunGWnpVjcOlcFjlyFX6G479/NHmUthkARf0SjL0GU0RGUOCRewwVbY7rBNQwcxXbCxczxffA5GG4xd7eg5G7YTLEPfdPFi2rAr5PieApsavSG/eKvt1S8lAVfdR2IlRsHk1//JqaoDDxQx5ORzWpuI+iw3M3PRIG81mtujX7xB1OayyAEXjETOILu6VgvVHD+KzneW4fVgnsLoHV77K+0Ld/6sqh9dTv5yMLAmJySKqKlWkZUp615UI11jf0JnhVoW1cWFOQsiphYqInUDRFKpwuVxQIvSFPXLkCBYtWoTx48eja9euAACr1Wq4aJiP18uh1qW3lRxTsG6lA30GWpDbtcGT5kZFO6LhUbWQFb5Vzpusum2IxgHVizmbKrB0bzVuHpaBUXl1+W5evXiIj7xuBeyfvAlXv9PgzekRsJgaLmKDloBhQgXMBiqGahyYo+biOy0dN4t7MVYMLJZjsVjhcgUXzFIy8+DN7+X/+6sDTszf50S6RcBxl4ZuVo7frnoN+cyJ8t8+AR6XEM3WCEsQGLgIPPPjIRyo8uChM7KRFyEA3lPuQlFZ6JS3rDhTdGmxHEB1BXx5liJjiJeFgNRLdngvxC/mQDi4G1peD7DSo3r/vZFnQ51wSeDNGwNMYYpchePVOKo9+vHmUji2lnsxOE2G4gEsW9YgfvH7QE0ltNPOhDppKmCLC7usaq/mvxkvqvaia0YSzEpt0HwNW4V937PUpWJDmReCiKCHI2kWAQVp0T8Ea6l9FSq2lnv11O1GH51qETAk1DqJEmCPh9Or4YkfDqLKpeLP43OQYTcW/DcsKBaOw6vC6dWw6agDzy0/gisHpuKcHknRfbkwn51gFoOyK4zoCEXEYg2vKj8hVZA93kbdkZheKFoQ9AesLi+HV0N9IM05zNvWwOqsDBg60cdqtcLpjFz00KPxgMDcCFGoG7rQbIU28HSogozV6wU4nMDwIRri7MC6jQIqq4AxI7TIQ8nJMliEa1Vr4ZyHvS55VQ01nsgZc+9vKcWy/VV4ZmI+eqRbwgbCjYNol1ODo1ZDSppkqCCepnJ4PGFaoQXAbA79o0FFxAgh0aIW6BjVVAr33r17IYoicnJy/NOi6ffso9Wlb3POsWubCxYrQ3Z+4C92lDF5gNYuEBbE5cDSvVVYuteB8/KtGJUm6kNvSHJAXp94YDdsn78DT5c+qLr4pvpKWr7XAQxhemBstE70VM5xeFM13qrqguT+g9AtoX6ZckIinE1U4d5Q6sFn+5wYnm7Cb3rZseqYB/P2OvDAwFtx/sGfcdkHL8P7m/v1nOcWEiSOt9aVYFe5G78dkRkxeAaArskWw+PlNknxoGEnRZtcl34tAkqtA+KSTyH88i1gj4cy7RZog0YCLgfEJfMgrFwMYdMqqJOvhDZgBMAYZCm64BnQW4DtsoBarwaLxDAk3QShpBhxX8yFafcWaJ3zoV59F3hOtyaXZZcYqr36OdMnRUZKggkVFcEBdEO+QDrdLuLseDHq9W9LeYkichOiXCeTfvxYZQG/G5mFJ74/iBdXHMFDZ+YY6p/MuZ4OH2cOf2x7FL1l66PNpUizSRjf1XiaeCR2WWhW8EyaSZQArQ3zuOvIkj7kkS8To+HxLIHpRb/qnkl7NQ6VAxg4HBCFkIMcyklJqI1QhRvQg3FnlGncVlmA1uD4EwEMHqBh1RoBhZsE9OimobSMoWe3JoJnJuh9e0+ASA/1ZFGAWeT+SvmhnN89CSsPVuODrSV4ODM37HyiyIC68cwBwGIVYLEK/lbqpggigygBvNFDDVXjcKscehULQghpOQqgY5CmRU5t5pxj7969yM3NhVz3CysIYfriRuCrggsAJUcVVFVo6DvYEvBDJQjN70/nVVsveN5X4UZJbaOOboqCqlon5u5wYGCqjGndLYDi1u+iGmBV5bC/929o8UmomX5bUPAsiA3SACOPGhZAZAw39YnD04VVeHVrNR4sSERymCfcjR2uVfDmjhrkxom4rocdAmMYmWnGwFQZn+11YiHGYLm7Gpd88TVsWSGeXksSlE75+t2ixgFN0f8fGmCyBKQeCyLD3ko3ft5fjYv6JGN4dtu3WPhpPKCKq0lkkAUGzjnEjSshfP4+UFsNPnI8tElTwc02Pda22qFOuR7akLEQv5gD6cNXoa1ZBpx+FgSJBdcMSssEywp/YwbofadVjcHlcsOybCHMP34FSDKUC6+FNny84ahcYAxxElCjcsNBJwtRnCtW+NK/DcwJyGa9v2WDL54ZJ+O3IzLx3PIjeO3XoxiXb3ysZZtJxKBMGxIs+vjcilb/T+McKw/U4EClB7eclmGsWF0TrLIAs0Q30SeUKNVXcGxDvm4d4UhS3aVS1R+o6bO27JhqTmJWqJsuixkY1F/DmkIBG7eIsJg5crKb+O20Wpvs83yiWGUB3gip3AlmEef1TML8beXYfMyB/hm2+nO97rz3nZuNg2gAEbt6NCbLDI33a5VbhUjdNQghrYgC6BjUVP/no0ePwul0BlXfjgbn3F9wg3OOXdvdsNoYOucG3oEILbhpdUeqimlQpUvBh5tKseJA+GIuWTYBtw6wh+7P6PXAPvffYG4Xamb8Hiwuzl/Uxhc4B7wtymGW4mQBv+0bh6c3VOGVrdX4w8CEJofqqPHqwyeZBYbf9o0PmN8uCbi6hx2jM0z4YF0V3hL7AqVhFnQ0XMpZ6D62wzrbcVGfZAPfqhU5awPyKm0SAz96GPzTOcCubUBuV7Ab74WQ08VfoNWX+gwA6NYNuOvPwMqlEL6eB8zdEnb38NPPBJs8Dcwe/gGBtWgjTJ/+D0J5CdSCkZCmXAnFnBj10FqiwJAoC3C0YgX5mMUEfWxyk0XPiQ2hX4YNVw1Mw7sbSrDhqCOqxdtkAdP6p+KMLvEB57BX1fDJljLkJ5kxIqflD31MogCbHKNPMU5mJ6AftFGyBHh4fVHplhKZXhXaeE+48AXqkhKBvr04tmwHenTjkQt3mkxgchv2e44SYww2WUSNJ3S3M0FgOLdnEpbtq8ZfvzuAKX1ScE6PxIBMkFqvBknQt0/DIFp/+Nj8+xCXosGravTgjBDSqmLnl434GU3fzs2tb3GLNoD2eupbn48XK6iu1NC/wBKUJtXcVjPOOTwtCKA1zrF0TxU+2VIGr6rhwt7JOC3bXv9c2enwD4/SySaGbp3iHLb570A6tBc1V98BLTMbDHqDiN6yHji7v1J30wXQA3S2S7ixVxxe2VqDOUW1uKGXPey8Kud4Y1sNKtwafj8wPnSLtSijS2Yc7j8/BccOHAIPcTyIpcWwLfsCQm0V3L2HwjFiEri1QTqfyQJIsv5dRb1gV1a8bLhoEmMsbLKbBhi7YXQ5AbW+Sd+qeYGvFoD/8JVeMfay64HTzwxqRQlqERUEYOxE8GGjgPJQTxM4+JrlwE+LwTeuAS64HDhtbMByeXkp+OdzgU1rIWRkwX3j/bD26acv3ouwY4iGI4iASWbgLAZvyoS6p0ItGj6I6SeKJNVlNDT9jondEzGokw2uKGobiIxh7sYS/Hf9cfy4rwrXDU5Hl2Q9PXzJrkqUORXcOCyjxcW+RIEhzhSD++pUIEqI+slkG2F19RPcgb1KWkQSAK/B60dTMVznThzpaRxypDszQQDMrTtCQ2uQRQaLJIQ8/yUTQ6JJwjPn5uP1X4/i482l+Hm/fr73Sde/C+cctR4VCXUjO4giAzO1bDepmj72PCGEtDYKoGNQpBZozjn27duH7Oxsf/o2EF0ArSjcX9NF7/vshs0uoFNOo9bnlqRva7zZFbb3lLvw3/XHsa/Cg77pVlw7OA1Z8Q2etnvcdTf0kQ9f809fwbThFzgnXgKl7xD/9EgPBZoTQAPAoFQTLs63Yv4+J3LsIi4P013z490ObKtUMKOnHd0SfNubwSoxOCHp43jWraAAoFN+mLTkbl3ABgyC/at3Yf3lK/Cty1AzcRpcg0fXlU3XwOJkyBaDw4bUVaqVBEAWBEgR9r3GOVyKBrcSofqqxwN4GqRubyuEeeFcPQAeNgbswulgURZIY1YbYA3d5491zgM/bQz4J3PAP3oLWPUjcNn1QGYWsOwb8MWf6fNNngaccS6sDVrFRDH6ANpX0NUq6dWcHXXVuSMxiQwWkcFbNz51m2CCXgBNEPQ7T1XRH2Ioal1AHa5Ebd34YlJd0CxIzcpuTTdYRAwALJIAu0nE3zNt+HpnBd7dUILHvz+ICd0ScHaPJCzYUYFBmTb0TW9ZsCAwhniTGDtDO51iGGPgohTwMK09+YLopsaPNkpiDF6DCzLSCBoxeAb0qtsxkrrdmEUS4FU51Aa/CxazgASLBFHQA+w/nZWDZXsq8c7643jmp8MYlRuH6QNSkWiR9GujV/PXUWhJBhwA1HrUVhvpgxBCGqIAOgZFCqCPHj2K2tpaDBs2LGC60QBa03jAWIlHDyuoqdYwYKg1qPW5JT9enmYECLUeFZ9sKcP3e6qQYBFx2/BMDM+2B974apreshkJ55ALV8Ky+BN4BgyH+8wLDK+DIKDZjSXn5lhwsFbF/L1OVKjHgzpUOxSOX457MKmzBaMy64t4yZIAc0I8FJXBG0W1Wm61oeaCGXAOGo34hf9DwoK3YVn/I2omXwslMxeS4gQQOfVVFhhspugqEgt16XpWSS/M4vJqATdMUBXAVZfG63LAPm825G3rgcxssN/OAuvW2/BnRYNl5QK/nQWsWQ7+5Qfgzz+qj6taXgL0HwJ20dVgKWnB36cuG8HofZYoNipQJDDEyQJUkcOl8qCuC2aRwSIxfx88kQFuFW1QXI8BNnv9yjHUB8S+wy1cxeATXFRLP4b09WSM4eweSRiQacMnW0rx3e4qLN1TBc6BaQNSAt4nCQxmSfD3m1TDbEPGGCQGSKI+Vm1HH9e5w5NiJ4AGjI0fbVQ0P5O+a4DvmhPtgzuYzGARK4u1L8YY7CYRVR5VzwAzi0iwBT+8GtslAb3SrPhiezkW7SjH+mIHLuuXgvFdE+BUNJjElo/F7vRq/mHwCCGktVEAHWMiFRCrqqrC999/D4vFgry8+vFxGWOGAmjOA4eI4Jxj93Y37PECOmUHHwotSt+O4oeLc47lB2rw4cYS1Hg0TOyeiEv7poSu5uusRaToVig7DuuXcyHv2Agltxscl840WiGpfhnNbIVmjOH6nnY4FI5VxY6Q+3F4ugmXdg1sUTNZbWCSBJvIUeWOsuXeZIKa1RUVMx6ApXA54r77GMlvPA7X6RPhnnSx3tRiCl1xW2QMcebmj4XLmB4YWiQBbkWDW+XgmqoHzwIAjcPy4esQd20Fu2A6MO5sMLFtLzlMEIDhY4H+BeCL5gF7d4L95m6wfgUR3yeIBjOeWfgunaLAYBcYrJI+zjEAWCQWtH0ZY7BJQI23lW/uLLagAnlBYiSQtMmBRQ9FgSHNLuOawekYk5eADzeVoGuyBTkJ9ceuJDDE+47Xuq+pBhQd0+eR6jIpqMU5hkgS4G7vlQgkinWjIKpoUUt0NA8fTRICRhHgiOK3RhBDjsUca0SBwSbpD63sttDFTQXGkGKTcFm/FIzKjcP/CkvwbmEJftpXjesL0tAz1YoEc/OzRhSNw9kaw2QSQkgYNA70CWRkrEFFUeByBY+/W11djYULF0JRFEyePBkpKfUtM6Iowmq11hfckELfPDYc8xkAjhzwYNM6FwadZkVm5+D0bZPBitKNuZWmx4X0OVTlwZz1x7Gj1IXuyWZcV5AefogltzOgonMAxQvzj1/BsmwhIAhwTbwY7tMnNuspgKZFV407lISERFQ1MYwVAEA2ITm5PpXZrWhwGO1Q56NxwFEDcA3MWYO4pZ/Csm4ZeFwinJOvhHfkhKDt0JKxcMPhnAM1Vf5IVFvwAfDDV2BTZ4CNPKvVPqctaJqedd4UUQyu9JuSkoKysrLQb4ig2tOKLSSyBbDG/s01oGc9+Po5NlblVuENUZgtIHhuRzQOdPNwTQOqytt7NcLStAb/OAAOJCUloaKJYax8Go4NH4og6l04kqyBv6mc663ghhKP7PFgMVSQrSkmE2syi63Go8Kt6I0Gvx6qxXsbS1DlUnFW1wRcPTgNGfboC6VxzlHlVqE02h9mSUCcKfT9AI0DTQiJVse5Gp8iQhUQq6mpwaJFi+D1eoOCZ0BP3+acQ61LHVUU/YF/w0BaVQODZ03VK2/HJQjIyAo+DFqUvm2geJhL0fD5tnIsLqqARRIwc0g6xubHh79BVhXAHboJQyraDOuCuRBLj8Iz4DQ4J18BntD8atMtSeOOChNgahT0+NJTPVGkckNggNkCuBzg1jg4L74OymljYP3if7B/+Cq8a3+E84rboGXU/4jHmQSImgruVQzevRmgKv7gma/+GfjhK2D0hJgPngGDadwRWp+bwyYxVHpa4SAT5Q4TPAP60FXh2GUBVY2Gw5GFlmVKkPbHBAFcEJuX2nMCNB43WtOiS1ySBSBkQf66obUYA0IVgPcNveXxNHHtMVs6RPDsG69ZEIzdQ9hk/fdOBTAiJw4DM234dGsZvt1VidWHajBjSAYmdU801BKtcT0TxaPwoODZ9zohhLSW2L8in2Ia93/2Bc8ejwfnnXceUlNTg94jCELQfYmicCiKHkSLYuCYigCwp8gDp4NjyEhryB+n5qZva5z7W9V2lDjxwaZSeEME1BUuBTUeDePy4zGtfyrizRE+UNNCpm6zqgpYF30A06ZfoaZkoGbGvVB69G/eijfS3DTuqFisMIWoGGM1CVDcEQp0hSLLgGIC0zwQBEDN7Yaa2x6GadX3sC75FPFP3Qv3hIvhOusCWGUJskdDWz0h4Pt3gc97G+jeB+yiq9rkM9qCKOoPnyK93poxnCjoRcVcLRnuTRABa/iq77HGLAkRsx5EQe8b7ctgketanikd+yQgSYDBzKT2Jgh6C6pRet/m4PO44TUj3HHvD6LDFTUTRbBmpm4LYX5WW+u3zTfElNGAuTGBMdhNAqrc+gpZZQFXD0rD2Lx4zFl/HC/9UoyPNpXCEqI7V7xJH/6uV5rV340jnM3HHJhbWII7R2ZhQGboQpSEEBINCqBjTMMAura2Fl999RVcLhfOO+88pKUFF0AC9ABaDVO0S1V4UN/O2hoVe3a60SlbQlpG8CEgm1jzq2+reh/eY7VevPRLMcyigPwQKdmdE0yY2C0BPVObuDHg0IesavhgQVVh/uU7WL77DFAVOCdcDPfY84Jza1ugzQNo2QRBlkMOv+UrsGQ0Dd7PbIXkVQBoelVlkwmeMy+Ad/iZsH7xLiyL58G0+geIl14L9B3cOt+jEV5ZDv7OS0BCMth1d7R5n+fWFLGMAKuvvN2arBKDR2tm64i/4nbHCC4bFg6LxFxXyVfjnILnk4koI+Y6QkcgisxwhX4pxCHKhMAH0ZEqcIcvasaa/YBMNrGw4ydrGofH3fIHqCZz8+8VfGRRgEXi/uGvJIGhV5oVfz8nD8v2VmHt4dqQzxWKSl14dOlBjM6Nw/SBqUgwB//WlDsVfLCxFKsO1SAzTm7OwAKEEBJSx7m7PQWoav2QCw6HA4sWLYLT6cS5556L9PT0sO9jjBnOwuWcY2uhC6II9OpvCXpdlsP/6BrhVvVhKF5cWQzOgT+M7YzMuBYEtk5HQPVWcX8RbJ//D+LRg/D2HADnhVdDS8kIfh8TAMkEeN1oTktrm6Zx143jaYqwnWVRgFnkcIfMCwyzWJmBWeLrP6MON1vguP5uKKePh+3j18Fn/x/4gKF6Verk4IyG5uJeD/g7LwJuF9jN94HZ6yqAS3LLO5WfAIKgHza8bpP7xgX3pXe3RRzHGINVAmqjLijWqOJ2B2CVBcNp2DaTAAYqBHZSMZkAOSm69zgdgNdAcYI2Ikn6s9umnm8xxmBqOJRdo+4eAquvwh+Ov6hZwwfeZgtYM9LBJCny77ggMMiyXheluVryoL0xmyzAJOoFABsu85weyTinR+juWG5Fw7uFx7Fgu17Fe2q/FJzZNQECY1A1ju92V+LTrWVQNOCSvsm4uG8KUqyxW8GcENKxUAAdQxq2Pq9cuRIOhwPnnnsuMjJCBIh1BEGAphmP9I4c8KK8VEXfQRaYLYE335LMIIZ6lG6Qxjncioo31hzFkWoP7h2d1bLg2e0CFL3FgtVWw/rNPJjW/gQtIRnOq++A0neI/mMb6u7GYgVkk9432Ouq62QWXV/fNmuFttj0G6wmgh+rLEDlMFSVmzHfDU3oZTIAtsFDwXr+E/jmU/Aln4P/4yHg7Iv1qtVh3hcN/tm7wMG9YDPuAuuUo080WfSxm6srWq+vdWtoGCk3IEkAeH3QfCKYRQa3yiKmIAZigD2u6Yrb7UBkLOR2E5herd0o6u988mGMASy6YJBb7Xq/iiiv3a2FMf35n5EY3iYJULleTEySAq8fRg99WdK/qqYBkCQwS/BD7qYIov5b3hRRYnUBezMeMIto0YP2xhhjIbOxIjFLAn4zNAMjc+Px3/XHMaewBD/tr8ak7on4amcFDlR6MCDTimsHpSMjToZJ7DgPGwkhsS/27sBOYb4Aury8HHv37kVBQQEyMzMjvkfv/2zsB9Dj1rBjixtJKSKy8wMDW0lmkOqCZ03ToKkapBD9cyMuX+WYv7Uc6444cNWgVPTPaEFfI8WrV90GwKorkPDa38Cqq4CzJkOcdBHs5vobC43rwwb5+5JKZj14BuoKbFkBk1Vvjfa4DAdybRJAy2ZA1AsiNXXDwBiL3De84WKNPvyIiwc/+xKg4HTwz+eCL/wIWPiRoc8wgp03Faz/EP0PSQaz6emH3GwDnDWt9jktIghAfJL+4EVV9Bt0RS+AJgrtU2jGJjFUGSooFpvBsywwWGUBMt2kklbEBAHcZgdqq9ttHUQB0AymctslBocKCI2uI1IUD4RMJkBRGBRr9L+fen9q458lywxc41E924z2M9oSYww9U634w5gs/HKwBh9sLMV/Vh9DslXEHSMyMbSznbJYCCFtIrbuwk5xvgrc69evhyRJ6N+/6YJY0aRv79jshuLl6DvIEvCjIkn1wTMAuBxOOGtqwZgAUZYgSRJEWYQkyRGD6mV7KrFgeznG5cdjUrdEYysViqYBjlr9v71exL33MpjTAXbnn8ByuwbNrvetZLBIHG6NwWWxBrfHM+jjIcvmoAF/JYFBFhgEBqgc/oIkAgC4ebPSuAV7HBBqOKq6dLxI6dvRYgKiyxyw28HUdLCZvwPfsRk4dqR1ViQ+ERh0mv7fQl3/XN86ms3gbmdsVOG1xtW1hjFAMPkftnDO6wJpb31Q3eal2HWSwBAnC3AoEYrHMUFP246h4NkkCrBIQtStR4QYxWQTuMkMeNqv/7TRVG5RYEgyAVWNUqOjSL7Q54+3Q5QkeL28yc9syNSMtGrZxOBxG/8cSW691O3WIIsMNpOIkbnxGNTJhg3FDhRk2aPKeCGEkGjFzp3YKY5zvfhWRUUF9uzZg0GDBsFsDjMecsD7jP1IlB1XcOSgF117mhCXUN+qKUosIN1LVVU4axx1y9ageDxQGgyQKzABZpMIs0mC4CvxLYjYWebGf9YcQ48UC64dlA4G1rzYg9eNaQwOcA7bZ/+FeGA32PV3hgyeGxIYgzUhHlZJhlvlekGzUPNJJkh1/a3CVUblnEPRAJekweVWoURb5EmSI1adas2WumhbA5ggglttgLMWrFd/oFfrVC5v8AmAPQGscYq6xVq3b9uRyQIWptgc85XDbfA6r2uZhuKtq/DTRgG1IMAkijCJCjyqBpfaqKqsr2BYc8vjtzKTKMAmCxA7SAEz0sFZ7fo52E7dQBoONxWJLOv9i+MgoMZbv66RKs8HL8QEZjbrz3wFQPFyQ63fJhMDa8b5yBiDbIKhomJ6YbXYO+etdYUHbbIeSBNCSFujADpGaJoGzjkKCwshSRIGDBhg6H2cM73WFecoK1FhtQmw2gKfEKsqx9YNLlhtDF171QflghAcfOnBc/gfUo1rcLo1ON1emEQGs8BQ5dXw5M8ViJMY7uhngeyoiOarh2Ve/g1MhSvAzrkUbOCwpt9gMoPVtSZaJAZLC45uvU8WIFoESACq3GqrjSMpsPCBe7T0IUSacdNktoB7PW1T3MseF7LwDTOZwd2uoAyAE0YQ9f7YUWCSpDc/mS3gmgq4XHUtYS08FgSxbrB2We/rWLe9OOcwqQpMigKv1wuny6sH0jEUPPuGliLkRGGMgdvigJqqdlsHQdBP2XBD3YlSfU0/k8hg5QxOhUd3rWdCQNVtPbhlEFQeNBRlQ5LMmjWMlI8g6EF0pM/w9QePRYwx2E0iqtyqoZohhBDSUhRAxwhN01BZWYndu3djwIABsBgpHsIBpicao2irG3uL9MfjkgwkJIpISNL/VZSpcNRqGDrSFvD0uHGhEcWrwO10GV7nao+Gj/e78NU+JziAWcMSkGhunZZVacdGWL7+GBg0HJg0pek3CEKbjIcrCHqAajeJqHYbC/yYwCCbBQgiA9eCi4C1Zvp2i25obHaguqp1C/RYrP6HGOFeb7f+jLa4FqUeMkEEbHZwi1XvS+92R7/tBAGISwxunfd9hu8uVZJhslhhigcURQ05v8Y5qj2a4RtGkyhA45HHS22K70aVkBONSTK42eqvjdEepAZBcmONLy3WuqJiUV3ubfaQ57ooMgiW8CnkzXmIGuozmFnvZaOF6Bctx1jqdmOSwGCVBDhCdZ0ihJBWRgF0jNA0DYWFhRAEIYrWZ/2H9sgBD/YWedA5V0ZiioiqChVVFSr27fL4f3A7ZctIbTDmc6iWS0dNLYy0rCkax0+H3fhsjxOVHo7hGSbM7GtHll2EW+VwKUDo5GljhONHYP/wdbCsXLArbqz70W6i0ngLg6NIRImBc8AiCf6xKiPPr29f3wMKzlEXSOsZiK1VDbSlfdH8qdwuR6usDyQZzBK5hZfJJnBRDhia7ISwWPXW5FbABAGw2Opu5o0/cAKgH6dRDj0lhekKIELv9+80MBSNyBjsJgGctyybgtK2SbuyWPWS2O1YSyGa09deV+nakAYZVKGwMBXuW5P+wBgAfAVF6wPplrRwnyhWWYBX4/BGMfwjIYQ0BwXQMaK8vBy7du1Cv379YLVaDb2Hc4bKchVbCl1IThXRd7BFD4rz9ddVlaOmSkNttYr0rMZVtwOX5XF74HXrRVoK125DcaULCWYJcVYZ8XYL4hJssMfHYUuNgI93O3HUoaFHooS7BtkwLMPkD+SsEoNF5HCrDC41QkGkMJizFvZ3X9LTWmf+DsxUl3Juj6sbTzhEkSezFawNc8tEUc86ttT1s1IjfCdfi3XAd2LMP3qLWWCwW0T/jYmmcX9wHQ3GEFD4rbmYyawXVzuRLFag9gQG0KLUZGDfHIwxwGKFYLMDZWVNv6ENjlObLEJRObxN3KXbTXVjMDMgziSi2hN9qqNcVzCMkPYSmMod+6m6jDFjLdB1D+ViTX1A3XEkmEWomuAvBur7RwghrSlmAujly5dj48aNyMrKQlFRESZMmICCgoKw8xcXF2PevHnIzc3FsWPHYLfbMX36dIgx0k8wGpxzrF+/HoIgYODAgcbeo3F43AzrVzlgsjAMOs0aFLiJIkNisojE5MBtIknBLZfO6lp4XG58sHQLlprqInBn3T9/bKCnzuU4j+OB4yswTCmGtCMO3GYDN1sCcthMAEwcYZ++87rvrSEweBQP7YFQUQLh1gfAklP1iQ3TgkMVeWrjfc4Y848FajeJqPKoYSPepgok+1qfGz/p5w0C6nDVXpmgV3llQnStILGGyTK4JLdN/+vgTwuoBt4mn2Cx6uNdeyK0RouS/uCgDdhNIioj9P0zS4HDS8kig10WUOMx3oonMP09hLQ3JkngFgvgar9U7lZnjT4zhYQnCgyiwOB7NKzx6KqZE0JIU2IigP7uu+/w0Ucf4V//+hcsFgtKS0vx+9//Hg8++CD69OkTNH9paSkeeeQR3HzzzTjtNH3YnKeffhpvvvkmbrnllhO9+i1WUVGBnTt3om/fvrDZjD2F9no5Nq31QFU4ho6yw2Sw7zFjwUGe2+XC4f0H8cq6Cuyz5OMSvg9nj+oDR40DNdW1qKl1odrhQZVbQYqnGqOVPZAsDoguCayyDCg+EDaV1egtAff9jyiCTfsNWNde+guyKWLrYWul5TZFFBlUgQNgsIoCnEpw8CGIehVUfYxnAXKIVNdw/Z+ZwCAKelouUPdwoS6QFpgePMdy/7OoWaxATRsH0EzQH76ciIdqVps+UGzI1HQGWNtuPFJRYLDJAmpDBMSiEDrwNUsCVM7h9BpLdaTUbRJLmMUG7lVOfFeQthBhZADSOnzZN4QQ0lraPYB2Op2YM2cOzj77bH/hrNTUVAwZMgSzZ8/GM888E/Sejz76CAAwbFh9ZeZzzz0XTz75JM455xx06dLlhKx7a1mzZg0YY8ZbnznHjk0aqiuBwcOtiE8wHiA0bn3WNA0/ffcr/nM8HqJox31pJeg/eAgAwGq3IjUzNWgZHoyDyhgsrVQwLCxRavPWw2hIsj5epkUW4FW1oKGtTDKD1STCLDIkWWUoLSgDzhiLlaLLbYJJMrhe9rX1FioI/qrWEKUT9nAFqEsttccBNZXBQ+20Yv/rcCySAI8a3PfPLothA3ebLELR0GR/QZMowEyp2yTW2OxAdSU6Qip3WM0YGYAQQkj7a/cAurCwELW1tejVq1fA9J49e2L58uXYv38/8vLy/NM1TcOKFSswcODAgBvDnj17gnOOZcuWdagAurq6Gtu2bUOvXr1gtxurIr1/l4bjxUD3PmZkZBl/cs0EvSCWj8ftwdsf/YAvWS56Kkdx6/AMpGTkGFpWXJRjD0eNCfpwSDHU6ioIDKIEqAqHrUEqt8gYbBYRcdaTOOJtC1Z7YL/2cGO8ilJdZWopuNStjyDoVbLbERMEcFt8YP9MUdZTvE8AuyygSquvO2CVBchNdMCMMwmocnOoYfpaCHXFxwiJNUysH8++w2rD4peEEELaTrsH0Hv27AEApKWlBUxPT08HAOzatSsggD569CicTmfQ/Ha7HVarFbt27WrjNW6eV175AJoWnObMuQeaBhw91h2ff1HT5HIYADsz46hShW/WHATWNH+dapmMUlMuzlP24bKzB0AyGQvGrVJbp3MyPXhu54AoFEnSC8A2TI01iQLMZroJihYTBMBsga+jGtfU+uJwAqsfI7kD3WAySdJbomurofe/bv2h1cLxpXLXeFT/kC5NERhDvEkMm8ptlvQuCYTEojYbz14Q9AKLchsWWJRObJYMIYSQ1tPuV+/qan1M2MbjHvv+rqysNDS/b1rj+QFgyZIlWLJkCQDgqaeeQufOnVu+4lF6/PF7T/hnkvbVHscZaR+0r08dtK9jTdvtj+yUtKZnIicFOq8JIdFo99w8qe4JbONWJt/fUqMntOHmBwBBEILmB4BJkybhqaeewlNPPdUq69xcs2bNatfPJycO7etTB+3rUwft61MH7etTB+1rQki02j2ATkpKAgC4XIHpzb6/U1JSDM3vm9Z4fkIIIYQQQgghpDW0ewDdrVs3APrQVA2VlJQAQFBBsKSkJCQnJwfN73Q6UVtb26EKiBFCCCGEEEII6TjaPYAeOHAg4uPjsXPnzoDpO3fuRPfu3YP6pQiCgJEjR6KoqChofgA444wz2naFW2DSpEntvQrkBKF9feqgfX3qoH196qB9feqgfU0IiVa7B9CiKGLq1KlYtmwZPB59TNjy8nKsXr0a06ZNAwC8+eabePjhh6EoCgBgypQpcDgcWLdunX8533zzDUaOHImcHGPDMLUHukifOmhfnzpoX586aF+fOmhfnzpoXxNCosU456EHAD3BvvnmG2zfvh15eXnYtWsXxo4dixEjRgAAnnvuOezZswf//Oc/YTbrw0rs27cP8+bNQ5cuXVBRUQFJknDVVVdBlo2Pi0wIIYQQQgghhBgVMwE0IYQQEksURcHu3btRWlqKkSNHdqgxyQkhhBDSNiiAPgGWL1+OjRs3IisrC0VFRZgwYQIKCgrae7VICyiKgs8++ww//PADysvLkZ2djcsvvxzDhg3zz7Nx40YsW7YMubm52LNnD4YMGRLTffSJMR9++CGOHz+OO+64wz+NzvGTS3l5OT766CMcPXoUU6ZMQf/+/f3ZTXRenxw0TcOCBQtQUVEBm82GQ4cOoW/fvjjnnHMC5qNzu2OqqKjAggULkJycjAsuuCDgNSPnMO13QkhEnLSpb7/9lt92223c6XRyzjkvKSnh119/Pd+6dWs7rxlpibfeeou/8847fOXKlfyLL77gN910E58+fTrfvHkz55zz9evX8+uvv56XlpZyzjl3Op38lltu4T/99FN7rjZpoZ07d/KrrrqKv/TSS/5pdI6fXIqKivjNN9/M586dy1VVDXiNzuuTxwcffMCffvpp/99er5ffeeedfMWKFf5pdG53TGvXruUvvPACv/zyy/kHH3wQ8JqRc5j2OyGkKe1eROxk5nQ6MWfOHIwbNw4WiwUAkJqaiiFDhmD27NntvHakucrKymAymXD99dfj9NNPx4UXXog//vGP4Jxj6dKl0DQNs2fPxtChQ/3jklssFpxxxhl4++234fV62/kbkOZwu9346quv0KNHD/80OsdPLiUlJXjyyScxYMAAXHXVVRCE+p9IOq9PLr/++isyMzP9f0uShG7dumHz5s0A6NzuyIYMGYLLL788aLqRc5j2OyHECAqg21BhYSFqa2vRq1evgOk9e/bE3r17sX///nZaM9ISlZWVuPjiiwOm9ejRA3FxcaitrcWePXtw5MgR9OzZM2Cenj17orKyEhs2bDiRq0tayQcffICpU6cGBFV0jp9c5s6di5qaGlxzzTVBr9F5fXJJSEjAypUrUVNTAwDgnGPfvn3o1q0bADq3O7qG12kfI+cw7XdCiBEUQLehPXv2AADS0tICpqenpwMAdu3adcLXibRc165dYbfbg6Z7vV707t2b9vtJaN26dejUqROysrICptO+Pnk4HA6sWLECaWlp+Oyzz/DII49g5syZeOqpp3Ds2DHa1yeZK664AlVVVXjkkUdQVFSEN998E6NHj8ZZZ50FgM7tk5GRfUr7nRBiBAXQbai6uhoA/GlAPr6/KysrT/g6kbaxY8cOmM1mTJw40b/frVZrwDy+/V5RUXGiV4+0QHV1NVasWBFUXMj3GkDn+MmgqKgIqqoiOzsb11xzDf7617/imWeewYEDB/D000/7z1s6r08OvXr1wsMPP4yKigo89NBDcLlcmDp1qr/SOp3bJx8jv8203wkhRlAA3YYkSQKAoKFPfH/7Xicd36effopbb70VcXFx/mq9tN9PDnPnzsWVV14Z8jU6x08eVVVVAICJEyfCbDYDADIyMnDxxRfjwIED/vloX588jh49iuHDh6Nv375YtmwZnnjiCbhcLgB0bp+MjPw2034nhBhBAXQbSkpKAgD/D7KP729fEQvSsX311VcYOHAghg8fDoD2+8nk+++/x4ABA8LuM9rXJ4+4uDgAwX0nfX1ifdNpX58cvvnmG3z77be45ZZb8Oijj2LatGnYvHkz5s6dC4DO7ZORkX1K+50QYgQ9SmtDvhuv0tJS5Ofn+6eXlJQAALp06dIeq0Va0apVq+B0OnHppZf6p3Xt2hVA/X72of3e8fzwww8oKirCq6++6p/m8Xiwfft2rFy50r/f6Rzv+Dp37gwgOEXTZrMF/D+d1yeHefPm4eKLL/Y/GJk+fToOHTqE5cuX44YbbqDf75NQNL/NtN8JIZFQAN2GBg4ciPj4eOzcuRNDhw71T9+5cye6d+/uv2EjHVNhYSH279+PadOmBUxXFAX5+fkoKioKmL5z504kJSVh0KBBJ3I1SQvcdddd8Hg8AdNeeOEFpKSk4Nprr4XVasWXX35J5/hJICMjA7169cKmTZswceJE//SysjIAQN++fem8PokoigJN0wKm9evXD1u2bAFAv98no+zs7CbPYc457XdCSJMohbsNiaKIqVOnYtmyZf6b8PLycqxevToo6CIdy9atW/Hxxx8jJycHK1euxMqVK7FixQq8/fbbKC8vx+WXX45ff/3VX1jI5XJh2bJluOyyy0IOr0FiU0pKCjp16hTwz2QywWq1olOnTkhMTKRz/CRy+eWXY/Xq1Th69Kh/2g8//ICxY8ciPz+fzuuTyLhx47BixYqAIHrnzp0YN24cAPr97ugURQGgD0/WUFPnMO13QogRjDe+upBW980332D79u3Iy8vDrl27MHbsWIwYMaK9V4s00969e/HII4/A6XQGvZaeno4XX3wRgiD4A+uuXbti37596NevHyZNmtQOa0xa06OPPor09HTccccd/ml0jp88Vq1ahcWLF6Nr165wOBywWCy44oor/AWI6Lw+OSiKgvnz52Pfvn3Izs6Gy+VCfHw8Lr744oBCUXRudzwbN27E119/jVWrViE7OxtTp07F0KFD/d0wjJzDtN8JIZFQAE0IIYQQQgghhBhAOWeEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGkSQ6HA8OHD0fPnj1RXFzcomU5nU4sXrwYf/jDH9CzZ0/s378/4PXi4mL06tULw4cPh8PhaNFnNYVzjosuughZWVnYuHFjm35Wc61ZswZ79uxp79UghBBCCCGgAJoQYsDmzZuxevVqFBUV4aeffmr2chRFwT//+U8899xzePbZZ1FUVARN0wLm+emnn7Bz506sXr0aW7ZsaemqR1RaWoovvvgCxcXF+Prrr9v0syLhnGPgwIFgjAX9mzp1KvLz84Pes3v3btxwww0oKCjAmDFj0L9/f/zpT39CbW2toc/csmULunbtGvR5Q4YMwVNPPRXyPQ8//DD69+/vnzclJQUff/xxi747IYQQQkhHwjjnvL1XgpBwjh49iszMzPZejVbT2t/nRG0fRVFw7bXXorq6Gu+99x4SEhJatLzy8nKkpKQAAPbs2YMuXbr4X6uoqMBVV12FlJQUvPPOO5AkqUWf1ZTf/e532LBhA/773/8iLy8v6PUTsY2/+OILXHTRRSFf+9e//oV77rknYNqvv/6KiRMnYuLEiZg7dy6sViv27NmDCRMmIC4uDsuWLUNycnKTn8s5x/33349nn30WAFBQUIB169ZFfE9lZSWSkpIwcOBA/Pjjj0hMTDT2JWMEXVNItGgbE0IIaYgCaBKzqqurcemll2LJkiXtvSqt4uDBg7j77rsxb968VlleR98+jDEAwQF0LDlR23jMmDG44YYbMHXq1IDpoigiPj4+YFpxcTEGDx4Mp9OJPXv2IDU11f/aokWLcP7552PKlCn4/PPPDX222+1G7969sW/fPsiyjMOHDyMtLS3s/Dt37kSvXr2wePFiTJo0KYpv2f7WrVuH1157Da+++mp7r0qr+PLLL7FmzRr85S9/ae9VOWm19nWbEEJIx0cp3CRm3XjjjSgqKmrv1WgVHo8HV155JUpLS1ttmSfT9olVJ2IbL1u2DMXFxZg5cyaSkpIC/jUOngHgH//4B44dO4apU6cGBM8AcN555yEvLw9ffPEFli5daujzzWYz/vjHPwIAvF4v/vOf/0Sc/+OPP8agQYM6XPBcUVGBK664Ai6Xq71XpVXs27cPM2fODOoCQVpPW1y3CSGEdHwUQJOYo2ka7rnnHnz00UftvSqtwuVy4ZprrsHPP//cKss72bZPJOESZNoicabhMk/kNn7qqafgdDpxyy234M0338SBAwfCzquqKt544w0AwMSJE4NeZ4xh/PjxAIA333zT8Dr85je/QUZGBgDgxRdfhMfjCTmfpml4/fXX8dvf/tbwsmNBRUUFLrroIuzcubO9V6VVHDx4EJMnT0ZJSUl7r8pJq7Wv24QQQk4eFECTmPP666/j+++/B6Cnq5511lk466yzMGfOHP881dXVePLJJzFmzBhMmjQJubm5GDlyZMi01fLycjz33HO44oorAABvvfUWsrKy0LVrV+zevds/H+cczz//PMaMGYPRo0ejV69eePjhh3Hw4MGw67plyxb85je/wfnnn4/c3Fz07t0bTz75JBRF8c/z1FNP+Ss8r1+/3v99Fi9e3CbbR9M0fyrvli1bsHPnTowZMwZxcXF4+eWX/cspLCzEjBkzcOaZZ2L06NHo3Lkzrr766pABnMfjwfz583H55ZdjxYoVzVpvo/bu3YtnnnkGQ4cOxbJly/zTv/76a/z+97/H6NGjER8fj6qqKjz//PO48sorMXr0aCQkJOCCCy7AwYMH4fF48Oabb+Luu+/GoEGDkJSUhLvvvjuota6iogJvvfUWzjvvPPz973/3TzdyDLaGwsJCLFq0CEeOHMHs2bNx0003IS8vDxMnTsTmzZuD5t+wYQOqqqoAAAMGDAi5zEGDBgEAvvrqK8PrYbFYcPfddwMAjhw5EvZ7Lly4EKWlpbj22mtDvt5a5+XatWuRnp7uL1YmyzJGjBgR8P4rr7wSoiiCMYZZs2ZF/H6zZs3yV3v/6quv/PuzYeX13bt3484778TYsWNxxhlnoHPnzrjoootC7oddu3bhvvvuw9/+9jeoqoq7774biYmJmDBhQsC5X1VVhbvvvhtjxozB4MGDMWLECLzyyiuoqakJu64LFizA5ZdfjokTJyIzMxMjR44MKNSmKAruvfdelJWVAQDefvtt//c5fvx4xO0QidvtxieffILf/e53APR9PWrUKNhsNuTl5eHPf/4z3G530PscDgcee+wxXHzxxRg6dCgyMzNx9dVXY+/evUHz/vTTT7jyyivx9ddf49ixY5g8eTLi4uLw4IMPBsz3/fff46KLLsL48eMxcuRIDB06FC+99BK8Xm/QMo1cg48dO4Y5c+bg2muvRWZmJmpra7FkyRJ/zYCsrKygwnlGrttHjx7Fgw8+iNGjR2P8+PHIzs7GxIkTIxZa/PrrrzFhwgSMGzcO3bp1ww033IA1a9aEnb+0tBT3338/LrroIvTr1w+dO3fGbbfdRg9PCCGkPXFCYtDSpUs5AJ6fnx/0Wm1tLe/fvz9PTU3lR44c4ZxzXlVVxYcOHcoZY3zRokWcc84VReH33nsvT0lJ4QD4sGHD+Mcff8wzMjI4AA6Av/baa/7l3nLLLbxnz568vLycc875/PnzOQDOGOODBg3iZ555Jn/xxRf98y9cuJD379+f7969m3POucfj4VOnTuUA+CWXXMI1TfPP+9Zbb3EA/Mwzz2zT7fP+++/zESNG+L/fDz/8wPv06cPj4uI4AD5q1CjOOefffPMNl2WZX3fddf71XLZsGRdFkXfr1o07HA7/Ml955RU+YMAA/zKXLl3aKt/Bt7w9e/b4pz333HP87LPPDvtZGzZs8L922WWX8V9//dX/2p///GcOgA8dOpRfe+21/MCBA5xzzjVN49deey0HwJ9//nn//F988QW/5ppruCzLHAB/5JFHAj4r0jHYWnbt2sX/85//8Mcff5xfeOGF3GKx+L+f2WzmX331VcD877zzjv/1Y8eOhVzm+++/75/n0KFDhtelvLycx8fHcwC8T58+Acevz3nnncd/+9vfhnx/a5+XR44c4ampqRwAnzlzZsjPvOCCC/itt95q6Ps98sgjHACfMWNG0GsbNmzg8fHxfPz48dzj8XDOOd+2bRuPi4vjycnJ/u+za9cuPmPGDC6KIgfA77vvPn7XXXfx9PR0/7pv377dvz2GDBnCp0+f7t+W9957LwfATSYTHzVqFD/zzDP5jz/+6F+Pv/zlL/zCCy/ktbW1nHPOjxw5wnv16sUB8Oeeey5gnWfMmBHyuG2OO+64gyclJfmP95deeonLsszz8vK42Wz2f7eLLroo4H2lpaV8yJAh/J133vFPmzdvHgfAU1NT+c6dOznnnC9evJhPmjTJv5x58+bxkSNH+j8zKysrYBv069eP79ixwz/t0ksvDfn5Rq/B27dv91+Dffvtzjvv5KtWreIfffQRT0tL4wD4l19+GbD8SNftw4cP886dO/M+ffrwqqoqzjnnxcXFPCcnh5tMJl5YWBj0nv/973/cZDLx9evXc87148l3HuTn5/MzzzyT33jjjf759+zZw3v16sUXL17sn/bss89yALx79+78+PHjQZ9BCCGk7VEATWJSpODFd4OWm5sbMP1f//oXB8CvuOKKgOlvv/02B8Dz8vL4Aw88wFVV5XPmzOGjRo3y3+wuWbKEA+CPPfZYwHvPOOMMDoDfc889AdMPHz7Mk5KS+CeffBIwfdOmTf6btIULF/qnn6gAmnPOHQ4Ht9ls/pvI/fv38927d/Ozzz6bv/DCC5xzzqdMmcIB8D//+c8B7x08eDAH4A92fGpqavzBXVsG0JzrAW9iYmLIz1IUxf++TZs2Bby2e/du/2uNb16///57DoCPHDkyaD182yKaANoXvDTnX6gAzqekpITPmjWLS5LEAXC73e4PQjjXHzD4luNyuUIuY+HChf551q5dG/azQvnDH/7gf+9nn30W8NquXbu4IAh8w4YNId/bFuflX/7yF/8+UFU14P1ut5snJycHHQfhRAqg77rrLg6AX3fddQHTL774Yg6Av/LKKwHTZ86cyQHwgoIC/t///pcrisIfeOABPnnyZH8A/vDDD3MAfNmyZf73VVdX+8/N+fPnByzzyy+/5Gaz2R+s+7z00kscALdarby0tNQ/vTUDaK/X6w/MLBYLv+WWW/wPaEpLS/mFF17oPy7mzp3rf9/06dODglrOOT/ttNM4AD59+nT/NFVVebdu3TgAftZZZ/HCwkJ+/Phxftlll/FZs2Zxzjl/4403OGOMr1mzJmB5n3zyif/zfUFjtNdgt9vtn/7mm28GvOfpp5/mAPill14aMD3Sddu3vcaNGxcw/e677+YA+B//+MeA6WVlZTw+Pp5PmDAhYLrvGC8oKAiYrmkaP/300/nvfve7gOmqqvLMzEwOgD/wwANB60UIIaTtUQo36XAKCgrQq1cvnHfeeQHTk5KSACAotc03NFFZWRkee+wxCIKAa6+9FsuXL0evXr0AAO+99x4AoFOnTgHvvfLKKwEAy5cvD5j+4osvora2Nmgd+vfv7x8+6LPPPmvuV2wRq9Xqr6I8bdo05ObmomvXrvjmm29w1113AdCLTeXm5mLUqFEB7w23De12u7+PbFtjjPnXozFRFAPWqaHs7Gz/fzceZisrKwsAsHXr1qBl+obTikZWVhZ69+7drH++dQklNTUVTz75JL799lvY7XbU1tYGpJY3HOPZZDKFXIbZbA45vxH33nuvf7nPPPNMwGuvvPIKRo0ahYEDB4Z8b1ucl3feeScsFgv27duHBQsWBLz/66+/Rl5eHvr37x/Vdwxl4sSJyMnJwZlnnhnVuqelpeG6666DKIp4+umnsXDhQsiyDCD0NSUuLg4XXnghgOBryhNPPIHTTjst6Bo0btw4AIDT6cQ333zTkq8ZliRJKCgoAADEx8fj1VdfRXp6OgD9/Hjvvff822L27NkAgO3bt+Ojjz7ClClTgpbnW+eG10BBEJCTkwMAmDRpEgYNGoS0tDTMmzcPTz75JDweD2bNmoUzzjgDQ4cODVjelClTcPfdd+ORRx7xX9uivQY3PF8mTJgQ8B7fMd2wS09TxowZg/z8/KBieuGOmS+//BLV1dVhf2PWr18Ph8Phn7548WL88ssvQdtXEASMHj066PsRQgg5cdp2gFVC2kC3bt2wfft2/98ejwefffYZ5s6dCwABfd+A+uGSUlNTA4KLhnz9I339Cn18/UwrKioCpn/55ZcQBAGTJ08OWlZaWhoSEhJC9tc7UXzfuWFQ2dDtt9+O22+/3f/34cOH8b///c9fcbrxNmy4zFgVLqBs+Jqv/3BLPfnkk3jyySdbZVmhnHHGGXjsscdw33334ccff/RPt9ls/v/2er0hv3PD467h/EZ07twZ1113Hd588038/PPPWLFiBUaNGgWXy4XZs2fjhRdeCPvetjgv09PTcf311+P111/H888/HzBW9vvvvx+2L3a0Lr74Ylx88cX+v8vKyvDuu+/il19+ibju4c4vIPI15cMPPwy4ppSVlWHlypXIyMjAWWedFTC/pmnIz88HoPcxbyuCoD9Pt9lsQed6XFwcZs6cif/7v//D2rVrAeh9pDnneOmll/C///0vYP6qqir/OpeXl/sD2kjb7YcffkBJSQn69esX9JokSfi///u/gGmteQ22Wq0A9DHOjTr99NMD+nnX1tbiww8/xKJFiwAEHzPhjofevXtDkiQoioLKykr/Ofvll18CAB5++GE88cQTAe8pKytDfn5+wANFQgghJw4F0KTDqqiowIsvvoji4mJcc801uPrqq5tdmMvXqrFjx46A6b5W18Y3fLt27UJKSoq/0FRHtW7dOrz66qvIz8/HDTfcgIULF+LQoUPtvVpthnegYe9/85vf4P777w8oYtew9bqmpiZk63nDAlWRWrvDeeCBB/DWW29B0zQ888wz+PTTT/H+++9DEARMmzatyfe35nkJAPfddx/eeOMNfPfdd9i0aRMGDBgAh8OBBQsW4B//+EezlxtKUVERXnjhBSQkJPiLO23btq1Zy0pLS8ORI0ewY8cOnH766f7poa4pu3fvBuccEyZM8D9wiDW+4nS+IH7Xrl0A9EyFc845p8XL92WH+ILtprTFNbg514cjR47g+eefh9frxcyZMzF58mSsWrUqaL5wvzGCICAtLQ3l5eUBw9L5tu9///tff0YGIYSQ2EAp3KRDmj9/Pnr37o1+/frh3//+tz+lrbl8LVuffvppwDixvorUl112WcD8Ho8H5eXlHXYMVo/Hg9tvvx3XXnstHn30UTz00ENBqYWkfSUnJ/tb0nwaVt4O96Dj8OHDAPSW3eYE0L169cIll1wCAPj888+xY8cO/Pvf/8YNN9wQtqXYp7XPS9/6+NJYfS3gCxYswGmnnYbOnTu3ePmAHjj99a9/xfjx43H77bfjiSeeQLdu3Vq0TN81xZfK7XPgwAEwxvzbGIB/2LBYrqzsO5Z8AW5rr7PvwU+kYdwaioVr8GuvvYbBgwdjypQpePbZZ8N2bwCAyZMnQ5Ik7N69OyDAdjqdKC0txYUXXhiQUdIRjglCCDlVUQBNOpxvv/0WU6dOxTnnnIOpU6e2yjKvvPJK3HTTTSgvL8edd94Jj8cDh8OBv/3tbzj//PNx6623BsyfkZEBl8uF1atXh13m4cOHY/bm5+abb8Yrr7yCF154oVlB1qnuwQcfRJ8+fZr1r/GQPeFwzuFyuQL6+A4YMMDfgrlly5aQ79u0aRMA4Oyzz2729/vjH/8IQE8fnjlzJtasWRN0DjTWFuelzx/+8AcAwLvvvouysrJWTd8GgEcffdT/r0+fPq2yzKeffhpDhw7FokWL/GNy79mzB2+++SYef/xxf4suUN8qvXr16oAHeI1t3Lix3bIofKnHQ4YMAVC/zpGGbAL0odeM8PW5Xrx4ccguJIB+TviG6mrva/Bbb72F2267DbfeeivGjBnT5Py5ubl4/fXXIUkSbr/9dhw7dsz/4CYnJycoRd3I9lUUJex1gBBCSNuhAJrEJF9/vFCtC0899RQ0TUOPHj0Cpvv6FDb3BvP111/Heeedh3Xr1mH06NE4//zzMXXqVHz++ef+wkA+vuJbDz74YMh1dDgcuO666/wtdpG+T3O0ZHkHDx70j/Pb2tvwZBJpGx85cgTbt29v1r8jR44Y+vxffvkFVVVVAYEiY8z/d7jU1aVLlwIArrvuumi+boARI0Zg/PjxAIAVK1bg3HPPbbJFtq3OSwAYO3YsTj/9dDgcDjz77LNYunRp1EF6uP3p8Xjwz3/+E0Drng+JiYn4+uuv0a1bN7z22msYOXIkbr/9drz11lv405/+FDBv9+7dkZ6ejvLy8qDxiH22b9+ORx55xN+PuLWvKU3x9W/3Fb3yXQPfeuutkMX5AD29e926dYaWP3bsWAD6uOvPPvtsyHmefPJJf+ZFtNfg5oi0jX3F/aI5Zn7zm9/gr3/9K6qrq3Heeedh3LhxUFUVa9as8RdY8/F9v2effRbHjh0LuX6/+93vWjT2NyGEkOahAJrEJF/fztLSUqiqCqD+JsYXgMyfP99f9GXr1q145513AAB79+6FqqooLS0NeF+4Vg1AL3QzZcoU3H///VixYgVWrlyJJUuW4LbbbvPfRDXka4377rvvcPnllwf0Uy0sLMRZZ52FyZMnIz4+PuD7HD161D9fS258I22fhv8d6jsXFxf7b+7efvtt//yzZ8/2FxErKiqCqqpRFdWJhtvt9v+3b/0b8hX/aVwEKFJRoIbLadyK1/B9jW9sw31WpG389ttvg+vDAEb9z7fNnU4nnnnmGbzxxhsB1Xd96/KHP/wB48ePx8yZMwNe+/3vf4+kpCR8+OGHQUXRli5dip07d2LUqFEhiytFw9cKDQC//e1vm5y/Lc7Lhu6//34AeqB+9tlnB1Vab0q4c7Cqqsq//efMmeNfrwULFvhb/3znha8V1si6FxYW4tprr8U333yD5cuX46effsIXX3wRMjOAMea/pjz22GP461//6k9p5pzj888/x/jx4wP2SWtfU3wanps+Xq8Xs2fPxuDBg3HNNdcAAM4991x06dIFLpcL55xzDhYvXuw/tyoqKvDHP/4R7733XsADoEjbrW/fvv6+1A899BCeeOIJ//FdWVmJhx56CEeOHPFXC4/2Ghxp2/jSpRuLtI19x/v777/vv96sWLHCXxnbd8w0PN4feOABCIKAwsJCrFq1Ct9//z2efPJJJCYmBn32VVddhYSEBBw7dgwTJ07Er7/+6n/tyJEjmDFjBvbv3x9UOZ4QQsgJ0PYjZRESPZfLxVNSUjgA/vjjj/OlS5fym2++mSuKwm+++Wb/eJ42m43n5uby7t278/nz5/unZ2Rk8Pvuu49zzvk//vEPDoCLosiLiopCfl7D8W8b/7Narfyss87iGzduDHiPb+xYAJwxxvPy8nhaWhoHwK+++mquaZp/3sOHD/vH9n3zzTf5okWL+L333tsm2+fgwYPcZDKFHSO2urqaJycn+9c9MzOTJycn89tuu43ffvvtHACXJIlnZGQEjCOcn5/fauNANxyr+NNPPw14rbi4mIuiyAHwp59+OuC1X375xf++xYsXB7y2bds2/2tvv/12wGtz5871v+YbY5hzfUzVQYMGcQD8/PPPD9hnkbZxa1i2bJl/nfLz8/knn3zCPR4P3717N588eTK/6KKLeE1NTcj3fvHFF9xqtfLLL7+cO51Ozjnn+/fv5z179uRdu3YNGlu7uQoKCnhubq6h79wW52VDiqL4j8HGY1QbsWrVKv84x/Pnz+cffvihf9z3nj17+tcxNTWVZ2Rk8AsvvJD//e9/95/fmZmZ/LPPPuOqqvKLLrqIA+C9e/cOOx63byzkUP9SUlL4ddddFzCus8Ph4CNGjPDPYzabedeuXXlcXBxnjAWNRf3hhx9yADw9PZ1/++23/PXXX+evvvpq1NvFxzfuOQA+a9YsXltbyznn3OPx8FtuuYXn5uYG7adly5b5x7X2fa+8vDwuSRLPyckJmL+qqopnZWVxAHzmzJkh12H//v08Ly/PvzxJknhaWhoXBIGfccYZ/mPdJ5pr8N69e8OOj/7yyy9zADw+Pj7gWI903T777LP9y0tISOCdO3fmw4cP57Nnz/ZP79SpE3/++ec555wvWLAg7PEgiiLv169f0JjWH3zwgf9a6Dt/srOzuSAIfODAgf4xsQkhhJxYFECTmPXhhx/yzp0786SkJD5jxgz/zWZpaSmfPn06T0hI4BkZGfy2227zv3bppZdyu93OZ86cyQ8fPsz79OkTcKNisVj4sGHDAm5cfcs855xz+IQJE3i/fv14SkoKt1gsAe/Nycnh1dXVAe+bPXs2P+2007jVauU2m42PGjWKv/POOyG/z/PPP8/T0tJ4eno6v+eee7jD4Wj17XP33XcHrXfPnj35nDlzAt67dOlSPnjwYG6xWHj//v35G2+8wTnnfMuWLTw3N5dnZ2fz//3vfwHvaa0AeuTIkQE3hbIs82HDhvHq6mo+duxYnpiYGLD+gwcP5ocPH+bXXHNNwM26xWLh55xzDuec85kzZ/KkpKSAG9Lhw4dzzjm/4oorAj4vISGB33TTTfyee+7hOTk5AZ+Vn5/PFy5cGHEbtxZVVfnf//533q9fP261WrnJZOLdunXjV1xxBf/yyy+bfP/GjRv5NddcwwsKCvi4ceP4wIED+axZs1p1Hd977z3++OOPG5q3Lc7Lxh588EGekpLCPR5Ps77PAw88wBMTE3l2djZ//PHH/cFSYWEhHzNmDLdarbx79+786aef5oqi8OLiYt6vXz+emprKn332Wf7dd9/5g8CGQeP06dODPmvLli28T58+/Oyzz+bdunXjiYmJXJblgPdefPHFAe+pqanhDz/8MO/RoweXZZknJyfzKVOm8J9++ilo+V6vl8+YMYPHxcXx7t2785dffrlZ28THF0Dn5+fzf//737ygoICPHTuWn3baafzuu+/mJSUlId+3YcMGPnXqVJ6amsplWeZdu3bl9957b8D8zzzzDI+Liws615555pmg5RUXF/PbbruNZ2VlcVmWec+ePfnf//537na7Q36+kWvwokWL+MiRI/2fXVBQwP/zn/9wzjn/5z//6Q+6AfApU6bwX3/91f/ecNftvXv38vPOO4/b7Xaek5PDZ82axR0OB3c6nXzMmDE8Pj6e33///VxVVc65vr9mzZrFhwwZwocNG8bT09O5zWbjgiAEXLdWr14dsO4//vgjP++883hiYiI3mUy8T58+/NFHH/U/4CCEEHLiMc5jo7NjRUUFFixYgOTkZFxwwQUR53U6nfjggw8QFxcHr9eLkpISXH/99SHToAgx4p133sGiRYvw/vvvB0znnKO2thabNm3CjTfeiH/961+tMmRLR9SlSxfs27cPP/30k6GiOYS0tttuuw2MMbzyyivtvSoRcc5x2223YeDAgbjzzjsDXtM0DeXl5fj+++9x00034fDhw/5xiNvT999/j/HjxyM/Pz9gfGPSOtatW4fbbrsN3377LeLi4gJec7lc2LdvHx5++GH07NnT37+aEEJIbIqJPtDr1q3DnDlz8Pnnn6O2tjbivKqq4plnngFjDNOmTcNVV12Frl274oknnojYP5KQcL777jvcfPPNeOaZZ4JeY4whLi4OI0eOxG233RYwxu6pKikpqb1XgZyCFEXB/Pnzg/qEx6LHHnsM33//PW6//fag1wRBQGpqKqZOnYoJEybA6XS2wxqSE+nYsWOYPHky7rrrrqDgGQAsFgt69+6Nv/zlL/QbQwghHYDU3isA6MNiZGVl4ccff2xy3p9//hmbN2/GzTff7J82YcIEvPvuu1i8eDHOP//8tlxVchJ64oknkJqairy8vIjzHTt2DFdffXWrfvZZZ50V9XvCVV9uax6PB7Is+6vOvv322/6CWEbNnDmzQwRAJPa8+eab6Ny5M04//fT2XpWI3G43nn76aVx88cUhCxA2lJmZ6S9U1RrWr1+Pe+65J6r3FBQUBA2hRFrXq6++iqNHj2L48OER59u7d2+Li/8RQghpezERQANo8kbDZ/ny5bDb7ejcubN/ms1mQ05ODpYtW0YBNIlaeXk5iouL8fPPP4dNTf7+++/Ru3dvpKamtupnt1cw3BSn04l3330XU6ZMQWZmJjjnKCsrw/nnn+8fFoaCYdKW3nvvPXz88ceYOHEiOnXqhD/84Q/473//296r1SSHwwG3240ffvgBpaWlYa8Z//73vwMeBLeGgoKCZl9TfJXmQ1XhJi1TXl4OAJg3bx4eeuihkPMcOHAAa9euxSOPPHIiV40QQkgzxEwAbdSePXuQlpYWND09PR3r1q2DoiiQpA73tUg7+vOf/4wrrrgC55xzDm666Sacf/756NSpEyoqKrB3714sXLgQl112WcBwLCe7Dz/8EDfffDN69+6Nb7/9Fnv37oUsy/jb3/7W3qtGThF/+9vfsHnzZnzyyScAgEsuuQSXXnppO69V05KTk3HPPffgueeeQ0FBAe644w6MHDkSKSkpKC4uxtatW/HTTz/hoYcewpAhQ9p7df0KCwsB6Jk2e/fuRZcuXdp3hU4id955J95991386U9/wtq1a3H11VejS5cu8Hg8OHjwIL7++mvk5OQEjQ9OCCEkNnW4SLO6uhqZmZlB0y0WC1RVRU1NTVAfzSVLlmDJkiUA9DFECWnosssuw+rVq/Gvf/0LX3zxBV577TXYbDb06dMHF1xwAV5++eVWb3mOdVOmTMFFF12Eb7/9FgUFBRg1ahSWLVuG/v37t/eqkVPEvffe6x/7+ZprrsE//vGPdl4j45599lmMHz8eL7/8Ml588UX85S9/QUpKCoYOHYrLL78cc+fOhSzL7b2aAIDa2lqcccYZWLduHQC9yNnAgQPRv39/vPfee+jatWs7r2HH1717d2zYsAEvvvgi5s+fj+uvvx6MMeTn52PChAm477770KdPn/ZeTUIIIQbFTBXuY8eO4c4778S0adMwffr0sPPNmDEDXbp0wV//+teA6S+++CJ+/PFHzJ49O2SRjoYOHz7cKuscrbS0NJSUlLTLZ5MTi/b1qYP29amD9vWpg/b1qaOt93XDLoeEkJNDTFThjkZSUhJcLlfQdJfLBZPJ1GTwTAghhBBCCCGENEeHC6C7du0a8klhSUkJ8vPz22GNCCGEEEIIIYScCjpcAD169GhUV1fj6NGj/mkulwsHDhzAGWec0Y5rRgghhBBCCCHkZBYzAbSiKACAxl2yly1bht/97nc4ePAgAGDYsGHo3r07Fi9e7J/nu+++Q0pKCgXQhBBCCCGEEELaTExU4d64cSO+/vprAMDKlSuRnZ2NoUOHwmazoba2FlVVVf6xKUVRxJ/+9CfMmTMHc+fOhSRJOHz4MB599FFYrdb2/BqEEEIIIYQQQk5iMVOF+0SiKtykrdG+PnXQvj510L4+ddC+PnVQFW5CSLRiJoWbEEIIIYQQQgiJZRRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGEEEIIIYQQYgAF0IQQQgghhBBCiAEUQBNCCCGEEEIIIQZQAE0IIYQQQgghhBhAATQhhBBCCCGEEGIABdCEEEIIIYQQQogBFEATQgghhBBCCCEGUABNCCGEEEIIIYQYQAE0IYQQQgghhBBiAAXQhBBCCCGEEEKIARRAE0IIIYQQQgghBlAATQghhBBCCCGEGEABNCGnMFVV4XQ6oShKe68KIYQQQgghMU9q7xUghLQfVVX9/wRBgMlkgiTRZYEQQgghhJBQ6E6ZkFOYpmkB/+1yuSAIAmRZhizL7bhmhBBCCCGExB5K4SbkFKaqatA0TdPgdrtDvkYIIYQQQsipjAJoQk5RqqqCcx729Yat04QQQgghhBAKoAk5ZTUVIFMLNCGEEEIIIYEogCbkFNVUgEwt0IQQQgghhASiAJqQU5SRAJqCaEIIIYQQQupRAE3IKUjTtIj9nxvORwghhBBCCNFRAE3IKcho/2bqB00IIYQQQkg9CqAJOQVRAE0IIYQQQkj0pPZeAQBYvnw5Nm7ciKysLBQVFWHChAkoKCgIO//WrVvxww8/oFOnTqisrERtbS2uu+46xMfHn7iVJqQDM5qa7Uv1Zoy18RoRQgghhBAS+9q9Bfq7777DnDlzMGPGDFx00UWYMWMG/vWvf2Hbtm0h5z948CCeeuopXHXVVbjkkkswY8YMpKWl4d///vcJXnNCOqZoi4NRKzQhhJzcOOdQ1abrYhBCCGnnANrpdGLOnDkYN24cLBYLACA1NRVDhgzB7NmzQ76nsLAQgiAgMTHRP61nz57YvHnzCVlnQjq6aAuDUSExQgg5uakK4PVQEE0IIUa0awBdWFiI2tpa9OrVK2B6z549sXfvXuzfvz/oPQkJCaitrcXKlSv90/bs2YNu3bq1+fqS2KOqKhRFae/V6FCibVE2Or+Rqt6EEEJii6ZyKIp+/fZ6ODSNruWEEBJJu/aB3rNnDwAgLS0tYHp6ejoAYNeuXcjLywt4beTIkfjqq6/w4osvoqqqCsnJydi6dSvuvvvuE7PSJKaoqgrOOSQpJrrzdwjRBtBGWqA55/B6vTCZTM1dLUIIISeYfu0ODJi9Hg6TGVT7ghBCwmjXqKO6uhoA/OnbPr6/Kysrg94jyzL+9Kc/4bnnnsMbb7yB5ORkPP7440hJSQn7OUuWLMGSJUsAAE899VRQwH6iSJLUbp99sqqtrYWmaYiLi4upH/tY3deapjUryLXb7RBFMezrHo8HiqLAZrO1ZPU6pFjd16T10b4+dZwq+9rjVv2tzw2JIoPZEv6afzI5VfY1IaT1tGsA7Ws1bBz4+P4O16pYWVkJi8WCCy+8EIsWLcIf//hHzJo1C7179w45/6RJkzBp0iT/3yUlJa2x+lFLS0trt88+GXHOUVtbCwCoqamBLMvtvEb1YnVfK4oCl8sV9ftqa2sjbl+n0wlN02C321uyeh1SrO5r0vpoX586ToV9raocXk/4dG1RYpDl2Hkw3Vbael937ty5zZZNCGkf7doHOikpCQCCbuh9f4dqVT5+/DgeeeQRXHnllbj++uvx2GOPQZIk/POf/4Tb7W7zdSaxo2EqMvWDNqa5FbUjvU9VVX8qPRUcI4SQ2Mc5h+KN3NdZVTjUEK3ThBByqmvXANpX+Ku0tDRguu9JYJcuXYLes2TJEiQlJSEnJweAXnDs9ttvR2VlJVXiPsU0DOpUVaXgzYDmBtCRtm3Dhxe0DwghJPZ5vRxG6j56vVRUjBBCGmvXAHrgwIGIj4/Hzp07A6bv3LkT3bt3D5n24vV6g27S+/XrBwAQhHYf1pqcQI2DQWqFjqwlLcThxo7mnAdsdxozmhBCYpuqcGhRXKpV+mklhJAA7RpxiqKIqVOnYtmyZfB4PACA8vJyrF69GtOmTQMAvPnmm3j44Yf9N+mjR4/GkSNHsHfvXv9ydu7cifT09LB9oMnJJ1RARwF0ZC0NbkMF0IqiBAxfdaq1QKsqh8ej0RBehJCYxjU9Hdvr4XA6PVG9V6PrGyGEBGj3sX/OP/98SJKE1157DXl5edi1axfuvPNODBs2DIBeMKyyshKqqkKSJPTo0QN//OMf8d577yEnJwdWqxXHjx/Hn//8Z1it1nb+NuRECRUMapoGVVUjVos+lbU0gPadgw15vd6Av0+1AFpTORSvBo+bQzYBgnDyF9whLacoCg29R9qconBwjUPT4E/X1jQNXq8CSTJedJNrerZRLI10QQgh7SkmfsHPOeccnHPOOSFf+/3vfx80bdCgQRg0aFBbrxaJYeGCQUVRKIAOo6XBbeNtHqrfOef8lHqI4dsknAMeN4ckA5JEN5kkPM65v+AlBdGkrWha6CJhevaWfu2Optsb5wDFz4QQoqNOw6RDihRAUzptsNaokK1pganKjVufG853KlDV4ONM8XJ43JTSTcLznUdut5tqBpA2E+4y7Ls+R9vl6RS5rBNCiCEUQJMOxzdkUii+FlASKNI2i3Y5QOTtfKoE0OGK8Gga4HZxCqJJSL7zwxdE03FC2gIPcxnmvHkBNKdK3IQQ4kcBNOlwmgqQw7WMnspaK6j1Lcfr9Ya98T9VHmA0NbRLNFVuyamj4bmoaRpcLhcF0aTVhbs++aZzrkUVRJ8iz0UJIcQQCqBJh9NUgEZjQgdrraDWSPof5yd/66umNj2GaqgUb0JC1RLwjUJBSGvQr8HhXqv/bVSjGJ+Kc5z013VCCDGKAmjSoRhN0aYhrQK11gMFVVWhKErE5bV0vGmn0xlVwK8oCmpra+FyueDxeFotXT0S1cDX0zS64SSBwp0bXq+XgmjSasJddhrXsYj2WhkuLZwQQk41VAKUdChGAytFUWAymdp4bTqG1gwoOeeGbvQ1TYu6EreiKP4+oW63G1artclhU3zrwzkPeGjCGIMgCDCZTG1SEVwz2LqsacApUpCcGBDpwZLH44EoiqdMBXvSdpoqIObju27KsrEhrTROrS6EEALQtZB0MEYDaN+Y0B2Bpmlt2vrU2unsRpYX7We63e6AvqBGt4nH4wn5Wb5MBd9wQa1J05pO3/ahNG7SUFPXJMqcIa0hXMEvHqIJOZo07qbqPhBCyKmCAmjSoUQTFHeUANrr9cLr9bZZv+322A7RPOhwOp0hC795vd6Iy1EUpcmCcZoWXaEcI6IpDkaFxEhDTZ3jVLuBtAajLdBAdDVDKIWbEEJ0FECTDkPTtKhuMDtCAK1pmr+idVu1QrfHTXnjvnahqKraZH/ncMP8+NK8jWjt7RptqzK1QhMfCqBJW4tUQCxcC7LRh4xUSIwQQnQUQJMOI9qA+EQUk2qphi2oiqK0fmtplA8dWlNT+8vIGLjhUrmNvNeXxt2ardA8ivRtH2qFJoCx4notKcBHCBC5lThUCjcQXdeB1jo89eszh9fL4XZrlB5OCOlQqIgY6TCa06KsqiokKTYPc1/rc0O+QkJNFc+K5jPaS6TPbqqSd0NerxeiKPr3o9frbfKGr6SkBMuXL0dNTQ2mT58Oj8fTKseBkerbjek3hq2zP0nHFU23BkGgZ9ukeSKlb4d76Mi5XjPESAE7rgFoZp07zjkUb+g6EpoK0GFPCOkoYjOyICSEky2ADtWy6guqW6uCeHumsTdVcTgabrcboig2merudruxdu1abNu2DaIoQlEUHD16FNnZ2VAUpcXHQnPSsTnXq3YLIgXRpzKjD4yoBZq0hBYmSG7quFIUr6EAuiUPBFU1/DVUVTkkma6RhJCOgZ73kQ6huenYsdoPOlJasa9PdGt9TnsJ99nNKZjm6/McqU/0rl278Mknn2Dbtm3o06cPpk2bBkEQcOjQIQAt7wvNOW92EZ3mtFyTkwsF0ORECHeNCpe+7WP0N7YlP02RHkByTlW+CSEdR2w2zRHSSHNvKn19gGMtJTJSMOcLFi0WS4s+o737U/pSBhumo3POm6ycXVJSAovFgri4uIDp4R44VFRUYMWKFThy5AjS0tJw9tlnIy0tDQCQmZnpD6B9Dy2a2wrdkmcxmsoBal05pVEATdpacwqINXyvkYwtXyGxaLsZca3pB5AqpXETQjoICqBJh9CSm0pVVWMqgDZS1EpRFMN90iJ9TnsXUWt8Q9ZU32en04kvv/wSAFBQUIABAwaE3QZerxeFhYXYtGkTJEnC6NGj0atXr4B9nZ2djdWrV8PhcMBms7WoL7TWgmravtYVQaAgOtZpmgbGWKvVIfAt0/BQQZw3K0AhJNIhZuT4M9rlSdOAaH+ajDyApAeNhJCOInaiCkIiaEkqdqylcRtNJTY6TFM4sfC9G960GWl93rlzJ1RVRadOnbBmzRrMnz8fhw8fDppv//79+PTTT7FhwwZ0794dU6dORZ8+fYIelGRnZwOAfxmhCrcZobfmR/22AFSNu2Pwer1wOBzweDzt0pWivTNHSMfVnArcDRn9zWhOVxYj9SN89SIIISTWUQs0iXktvaH09e2KhRYdVVUNDxnS0pTjWLgJb7gOTfV95pxj27Zt6NSpE84991wcOHAAK1euxFdffYVu3bphxIgRUFUVK1euxIEDB5CUlITzzz8fnTp1Crk8URSRmZkJi8WCQ4cOoUePHv71kGXZP59vqCtVVcEYg9lsDvE9mrsF6lGRnI5BURR/sTqv1wtJkiDLcouyWJrT55+QaIVL0zaajcS5sS5P0RYSC1V1OxxVBYTmJ14RQsgJQQE0iXktDQSN9u06EaJt/fTdwDdHLLRA+9bBSOvzwYMHUVNTg9NOOw0AkJubi6ysLGzYsAEbNmzAgQMH/Om1w4cPR//+/cPe6PkCYVVV0blzZxw+fNj/EEXTNLhcLv+DmYY3lowxmEymoIctzS0eFrAMrvcDZJTGHbMaF1LyHbe+B1nNPaeaM4Z9LFyvSMcSvv+z8QuYpjXd5Snan+Rosm9UlUOmYf8IITGOfqFJzGuNQDAWbkiN9H1urLmt57HQ/xmozx7wtepFsm3bNlgsFuTn5/unSZKEoUOHonv37li1ahUkScLw4cODCow1ZjKZIAgCOOfIzs7G7t27UVZWhtTUVADhC5KFe9jSWptSVQGJOs7ErEjHhdfrRW1tLVwuF2RZjqo+QbQPAWMhe4TEFlXlEASE/S3gEVp5jaRv13+OCkmSm5wvmoeB0Q7/p6ocIg37RwiJYRRAk5jXGjeTsdAaG23wDOipb4qiBKQcGxEL39dHVdUmW59rampw8OBBDBw4MGRgkpiYiLPPPtvQ54mi6N9egiAE9IP2BdCRhEqbb62HEarGIVHrSswyct4oigJFUfzHWVMP5przMCsWHn6R2KJp+r9wPwWRimxHMzyU0d8OTQNEAw8Do0nf9r+nLoBWFAVutxuCIEAURYiiCEEQYqI7FiHk1EYBNIl5rRFAhxpS6USLvvVZH/ajOQF0LLVgGSnGtH37dnDO0adPnxZ9VuM+zIwxxMXFITk5GYcOHcLAgQObXEaoVv/Wime41nRLEmkfvr7w0czvq/BvsVjCpr0251yMhesViS1c4/7q16Gq+be0gFj9vNxYP2gOGMnBaM6zXFUFBFWF2+32ZwX5AnvGGARBMPTwqqPhnKO0tBQej8ffXYkQcuJwziEIAkwmE1JTUyOegyfX1YecdFqzIm17pnE3NXxTY5xzKF4OJtTf2EdTxOhEt0AfO3YMq1atwsCBA5GXlxc09nMkqqpix44dyM3NbTI1uylmszloOwmCgM6dO2Pbtm2GirKFSuNuzQZBr0dfGBP0Ya0EARRQx4DmnjO+PvVWqzXkPmxJv+mTLUAgzee7BileDpM5+DiL1Moc7W+okaEfucFCYs2pqs05h8PhAmPB79W7UyjwuFXEJ9hiaojKlnC73SguLobJZIr6gTkhpHV5vV7s378fnTp1CllYFqBhrEiMa81AsDkp1O312aqi3zhwrT6gM6o9hsFZv349jh07hm+//RZLlixBVVWV4ffu27cPTqezxa3PkiSFDDh8adyqqqK4uNjQshpubx5F+mM0uKbvZ6+Hw+3icLs0eD0cqsLb7DNJeC25PmiaFnbYueaei5TGTRryHQ6aFrpPcbjDrDldCIz83hg5rDU1+vRtQA8mFSX0Omiafs1U1fDnXEdUVlYGi8VCD80IiQGSJMFisaCsrCzsPBRAk5jWmoFge/ULjjYA1jQekPbGeXQ39yf6e1ZXV+PgwYMYNGgQRowYgSNHjuDTTz/F+vXrDa3Ltm3bEBcX5++r3JggCJAkCWazGSaTCZIkBbX0hRt+yvf+Tp06QRRFHDp0yNB3ari9T1Qsy7l+Y+z1crjdekDt8WhRF+Ah0dM0rcXXGkVRQo7x3tzlxlI3DNK+GrcuK14eWC0+wkWqOQ9iNINls5vqW92cnyKPxwNVVaCpwevuC54B/Xrp9YY+5zoiI63+hJATRxCEiPew9KiLxLTWvIn0BbLRVM9tDUYqUAfOHzivHlgZT+NujQDa14ptZFtt374djDH06dMHcXFx6Nq1K3755ResXbsWRUVFGDVqVNjguKKiAsXFxRg2bJj/uzHGIEmSv3BMpL6lvu0iimLYFGhfAJ6ZmYnDhw8b/v6+Y6W9GgI5B7iqt+IIZtDwV22oJa3PvvHDBUGAx+PxH29Ay6rhx1IhQNK+Gh9CnAOqAviKZUf6mTQaDAcun9cNZxX5+q9peveT8K9Hd+wrigKvtz4g5hzwXdYDg2cORfFCksz+oR47evBJXXgIiT2RzsuOfcUhJ73WboVpzZtSo+sWXesxDyoG42tdMLqclm4zVVWxcOFCfPHFF00uK1T/ZbvdjgkTJuCcc84BAHz99ddYunQpHA5H0Pu3bdsGQRDQq1cv/zRRFGE2myHLcsSbIl8hGbPZHDHtzVe1NTs7G+Xl5SHXIxT/9o6BBmCPNwZW4iTW3OuCx+PB559/jgULFviPF7fb7V9eS643lMJNfELVAFMadPVorQrcDRlK41Z52ONUjTJ9W9NUeDyBKdm+7JuGwXNlZQWWfPsVPvr4Paz6dRU8Hg9cLpfxDyKEkFZAATSJWa2RVtlYawbQXq+3yeGZfK2kRvgKhwUvQ/9/IwF0S/s/c86xfPlyHD16FGVlZdixY0fE+fft2weXyxWy/3JOTg4uueQSDBkyBPv378e8efOwefNm//p5vV4UFRWhS5cusFqt/ve1RYaAr5AYAMNp3L79psVAIMM1hDw2SMtFc442ft/333+PiooKlJSU4McffwTnekDhqx7c0nOR0rgJEP5hitdbH2CGf2/zjiFVbfp9mga4XXq3k8Zp5NE0fHPO4XK5g1O21bpuLR69xXnd+tX4cuFnqKgoR05OHrZu3Yx58+Zh9+7dJ1V/aEJI7KMUbhKz2uLmsbWGh9FTyPSANlKacVStz2Fm5bz+ZrqpNO6WpIwCwObNm7Fz504MGTIEhw4dwrp169C9e/ewVUG3bduG+Pj4sCnakiRhyJAh6N69O1asWIFffvkFO3fu/H/2zjs8jupe/5+ZLerVKpZlFatZ7kW4G1xwCCaUJI4TemJKKLm/mwAJuRAnlHsvCUm43BAnJJQE4psAxgQwhIAB44Ix7t2WJdmyJVndlmSVbTNzfn+Mdr2r7Sq2cfZ9nn1s7U45M3POmfN+y/tl9uzZtLe3Y7fbvcj3UBHo1NRUYmJiOHnyJMXFxUH3cRIrIS6M0DpFEch+SthEENhjG2i899eotnPnTurq6pg9ezYOh4Pt27eTkpLC5MmTXcrcA/Uih6u+H8HFCX/82CkoFogj9z8HP/RxoSoCVQGDQWAwSsiyFJZ2gz7P+m6nw65RV1fDjp3b6OnpprCgmMmTy4iOjqalpZntOz5n3bp1HDlyhPnz5zNs2LCQzxtBBBH8a6KqqoqioqIBHSPyZo7ggsVQ5ACGK+jlD868Zqe3KdB2oUAXDgvkRQh+PL28R2CPeCDU1dWxfft28vPzmTx5MtOnT8disXDgwAGf27e1tdHY2Mjo0aODGiQSExO54oorWLhwITabjXfffZdt27aRnJxMZmamaztnLulgwxnGPWLECOrr60MmNqqqBlycnms47P5DJv+VoSgK3d3dPj8WiyUgiehP/nNVVRX79++ntLSU0tJSxo8fT2FhIbt27eL48eOA/7rSPT09NDQ0hHSeiAc6Aghc49kZ2uwLAzGo9uddqapgtwlstvD6raL4fm/19HSzfsPHbNz0CWazmS99aTEzZ84hOjoagPT0DK5afDUzZsygubmZV199la1bt0bmyAgi+IKhubmZBx54gGeeeYaf/exn/OhHP6KrqyvgPl1dXfz0pz+lrKyMgoICrr32WrZv3+613dGjRxk+fDgZGRmuzz/+8Y8BtznigY7ggsVQLR4Ho76q+6JbVVUcDoeXlzac2s+qEviFLzRA1o9pNpu9f+8l8v0VQ+ro6GD9+vWkpKRw6aWXIkkSGRkZ5Ofnu4iCe5g1nM1fDsWbCzo5zs/PJzs7mz179nDgwAHGjx/vQb6HSuDNScqzs7M5evQop0+fDslToSgKsnThTJN9xYMi0FMBAhmxnN7g6OhoL+NMf8KkW1pa2Lx5M8OHD2fmzJmA3rfnzJlDR0cHGzduJDExkdTUVK92HD58mF27duFwOJg3bx6FhYUBzxUh0BEMhAwOPAKif6Kbmhp6lJe/FAq73c7H69bS09PN1CnTGD16jB/jqszYsWMpKChg69atbN26lczMTPLz88NudwTnDhaLxWtNcb5wIbXlXMLhcLhEW88nurq6WLJkCbfeeit33nknAA8//DB33HEHr776qt/97r//foqKinj88ccpLy/n97//PUuXLuXjjz/2eLf+/ve/57//+7+Ji4sD9Pf1V77ylQG3O+KBjuCCxVAS6IHA1wvfbrd7tTe80lVBfhfOXDfvcw+UPNtsNj766CNkWWbRokUehoCysjJUVWX37t0e+zjzl0eNGhX2i8dkMjFt2jRuueUWD/EwGFoC7fRAQ+h50Iri24t4PqEoAi1S2goITp6dcJJoX2M0HJLR1dXFRx99RExMDAsXLvRY0BuNRtf4+eijjzyEjZqbm1mzZg1bt24lIyODzMxMPv30U1paWoK2O4J/bQwkAmYwBCX7t18YxmMfuUuaprH5s410dp5h/rzLGTNmnBd5lmUDJpOZqKhoYqLjSE9P58orr8RgMFBTU9OvdkdwbnDmzBkefvjh890MQH+H3Hfffee7GecF//Vf/xVyZZKhxHPPPUd1dTU33HCD67tly5axbt06/vnPf/rcZ8eOHcyePZsHH3yQr3zlKzzwwAM8/fTT9PT08MYbb7i2a2xs5PTp09x+++1cf/31XH/99XzrW99yid4OBBECHcEFiYHm8g7lsX0RVV0Exerxdzjh28HgvohyP67zvP0lz04hpDNnzrBw4UKvSSUpKYnS0lKOHDlCR0eH6/tjx47hcDh8iof1hb/8aV9Wz6HK95QkCUmSiI2NJSUlJWQCDb4XeOcbDkcklDtU8uyELxIdzrhRFIW33noLh8PBokWLXGGkBoPBFRUSGxvLokWLsFgsrFu3DovFwubNm3n33XexWq0sWLBAT2VYsJCYmBg+/vjjgKrwQzkPRvDFwEAe/0AJdH/7n6ZpIacT+RqDe/fuor6+jksumUFmZpbX77IsEx0djdlsxmg0ugzQRqOR7OxsTpw4EXabIzg3sFgs3H777VRXV5/vpqCqKvfff7/PsN+LHStXruTZZ589380A4K233mL06NEe68/i4mKSkpJ4/fXXfe7jcDi4+eabPb5buHAhgMda9dlnn+Uf//gHkydP5gc/+AH79+8ftHZfOLGJEUTghqH2vAwkjNvfolvTNOx2O2azGYfDMagLX6eQmCRJLq+AkzwPxKO+a9cuTp48yezZsxk+fLjPbSZPnkxlZSU7duzg8ssvRwhBeXk5KSkpZGRkBD2H2WwOqRa2JElDWqPbYDCgaRrZ2dkcOnSIM2fOkJiYGHAfoYEmVPzYAM4bhNBVuU3mi1NQzJl/KcuyT6NKX/Lc1tbGgQMHfPaxuLg4Jk+e7Hr+znBu97EUSns2b95MY2Mjl19+uUd4ttFoxGQyoWkaiqKQnp7OnDlz2LhxI6+99hpCCMaPH8+UKVNcxiSTKYpFixbx7rvv8vHHH7N48WK/81Go9dgjuDjRzypUgG8F7tbWZto72ikqLPGxR9/9Rb/6n1PwUghzUAG/vu/66uqjHDp8gOLi0ZQUextoJUkiKirK47iadvb9mJuby6effkpnZycJCQlhtftChOOvf0CrOXa+m+EBObcA001392vf9957z1XdY/ny5cyaNYvc3FxefPFFJk6cyL59+1AUhV/84hfEx8dz+PBh3n77bQ4cOMAPf/hDvvvd72I2m9m0aROSJPG3v/2NiooKWltbWbVqFQaDgcWLF3Prrbcyf/58LBYLTz/9NB0dHVRVVdHd3c1jjz3GjBkz2LBhA7t376atrY3ly5czZswYbrrppqDXUFVVxeuvv86bb77Jyy+/zEMPPcTOnTvJz8/nySefZPbs2YDev1esWEFDQwN1dXXU1tby0EMPceWVV9LU1MQ777zD6tWrWbFiBQ8++CD79+/n/fffp7CwkM2bN/P++++TlJTEli1bmD17Nvfff7+r37/00kscPnyY1tZWysvLueeee7j55ptpa2vjb3/7G++++y7f/e532bNnD6+99hrx8fGsWLGCmTNncuzYMd555x0AnnrqKdLT01m+fDkWi4UnnniC9PR0VFVl/fr1PPLII0ydOtV17ZWVlfzhD38gLS2N//u//6OlpYWysjLmzp3LT37yEwDeeecdNm7cSGdnJ/v27WPp0qX84Ac/cLV98eLFGAwG3n33XWw2GxUVFa6yp+5wpvv5wqxZs7y+s1gsAEyfPt313bhx4/i3f/s3PvvsM/72t7+xatUqfvnLX3qR7/4gQqAjuCAxFAJifY/fHwLtTxjICbvdjsFgCMuzFWqInhAgSbgW6g6HY0D3ySkQVlRUFNCTHBMTw8SJE9m1axdNTU1IksSpU6eYNWtW0Dw3g8HgIsbB7slQkwQnESssLKS8vJw333yTSZMmMWHCBL/nFuLsM7/Q1JBVFbBfnCRaVVVXRIeTRBsMBgwGA6qqepBnZxRFZ2enyyvsjq6uLqKiohg/frxre6vVitFoDNnIdeDAAY4ePcqcOXPIy8tzfe+ePxYVFeUiDkVFRXR1ddHU1MS0adM8CLfQBKoKKSkpXHbZZaxbt47Nmzdz2WWX+RxPEQL9r42+5aHCQd93laIobNy0Houlh+SkFNLS0oMeQ1XDz4N2eq4dDodPzY6zx/Z8J7S2tvD51s1kZGRySdkMn/sYjSZk2bs9mgYGA+Tl5fHpp59SU1PDuHHjwmp3BEOPJUuWsHLlSkAPIQYYP348N910E7fddhuKojB69GgKCwu57777iImJYdOmTRw/fpy9e/fy+OOPs3nzZiRJ4oMPPuCpp55ix44dLoPoG2+8waOPPkpubi4Ad9xxBz/+8Y+ZOHEiADfccAM33ngjO3bsYOHChbz55ptYLBZXW0JBTEwMlZWVHD9+nLVr1/Lss89SXV3N3XffzS233MLWrVtJS0vj4Ycf5rLLLuP73/8+AA8++CDLli1j06ZNJCQkcOLECXbt2sXrr7/O8uXL+ctf/kJSUhJr1qzh1VdfZeXKlRgMBt577z2+853vUFRUxHXXXceKFSswGo08+eSTAPz2t7/l/vvvJycnh7lz5zJ79mwee+wxVq9e7RLk+upXv8ry5cv56KOPKCgo4Otf/zrr16/ngQcecN2rp556ijVr1rB3715AD3++55572Lp1K6C/S7/1rW/xzDPPuM6zdOlSFixYwIMPPgjAmjVr2LZtG7/61a8AePvtt7nzzjtJT093kdbk5GTXvWxvb0fTNJ8h1XFxcRw9ejTk5/Lpp59SXFzMVVdd5frum9/8puv/mzdv5nvf+x4//OEPmTZtGqNHjw752L4QIdARXJA4Fx7o/iAUYmyz2cLKCw61zrBTSMx5joF6uCsrK9E0jQkTJgTddty4cRw+fJjt27eTmJiI0WgMqQSAc+FlNBqD3ruhJqhOcjJs2DCWLFnC1q1b2bVrF1VVVcyaNctnKS7nPXZ6Qy80qKoAOxcdiXbv205S6q//VFVV0dbWxoIFCxg1apTX7x988AF79uyhuLiYqKgo1zHtdntIbamtrXWp08+cOZO2tjbXb87cetD7V3R0tCtMfPLkyb6vzfmvBvn5+UyZMoXdu3eTmprqcyxG8qD/tRHONK9pKqqqoqoamuad33/kyCEslh6MRiO79+xg0eVXBjWChlPOSt/+bNi3oujimr7O0TfNqaenh42b1hETE8ulcxf4nG/d0yX6QlUFBoNEamoqcXFxFw2B7q+n94uEZcuWcemllwL6PJqQkOCqZpCfn09BQQHHjx/n29/+NgBXXnklAG+88QYZGRmu/rV06VLeeOMNWltbyc3NZfv27WzevJlVq1axatUqQCe/JSUl1NTUkJKS0q/2ZmdnU1payrvvvsu///u/I0kSWVlZPPLII9xzzz2sWrWKr33ta7z88ssYDAa2bNkC6LnfkydP5tixY1xxxRWu/rlkyRJKSkqYOnUqqqry0EMP8bvf/c61flq8eDHPPPMMc+bMwWaz8fTTT3PVVVexfPlyADo7OykrK6OmpgaDweASSL3mmmtcJHH+/Pn88Y9/DHhd8+bNIykpyfV3YmKi6zkAbNu2jbq6Ole04rx588jMzKS1tdW1zc9//nNGjx7tapvNZqOsrIzGxkbXNq+88orr/87x7GuOkGXZbwpgXyiKwnPPPceKFSv87jNnzhxWrVrFggULeOutt/jxj38c0rH9IUKgI7ggMdSLxv7Ugw41rznctofqgdY0gQHJ1ZaBwBmGPXz48JBeIiaTialTp7J582aam5spLS0NaWJzvgCcnuhA7R5qL5v78ePi4li4cCF1dXVs2bKFDz74gFGjRjFjxgxiY2Nd2zmbq6pKyBO5vp++40DrjYcCnUQLTOYLj+D3F6GOIUVR2LVrF2lpaX5Vdy+55BLefvtt9u3bx7Rp08JqR3t7O+vXr2fYsGEudXp39I1ikWWZqKiogDWgneNdVQWyQWLy5Mm0tbWxY8cOkpOTycnJ8dg+QqD/tRFsqteNQbag+cpWq5WDh/YzMjuHrKxstu/4nJP1dYzMzvG7j/P44bwr3dugvzMdmEzepNddwE9RFDZuXIfD4eCKL33JZySJJEmYzVH+26l6hnFXV1dfkJFDEXjjgQceoL6+nueffx6j0ehTlNVXn7Db7dTW1rqee05OjqvaB+hCU/Hx8WF5l8OF+7hwGgGqq6vZuXMnmqbxyCOPuAy3/uB+bUeOHKGlpcUleOo8x/XXXw/Avn376Ozs5Pvf/35YdYzNZnNQzZBLL72UmTNnsnr1atra2qisrPQYz06j84kTJ1znHjlypMtw3dbWxtGjR/nv//5vVz5yMKSkpGA2m+nu7vb6rbu7m6wsbw0EX/j5z3/Ovffey5QpUwJuV1JSwsyZM2lubg7puIEQmVkiuOAQrjLuQM4TDkLJ4w0Xei3pULcdvPPW1dXR1dUVkgiYE8XFxa7Qm1D2c89pDpbfPNT5z85z9F1MjRw5kq997WtMmTKFmpoa3njjDQ4ePOh6eZ8l0GpYnhhVVQZUkztcqCo47BcP0Qp1bB48eJCenh6mT5/ud4E/bNgwioqKOHToUNC6ku5wqtMbDAYuv/xyLwOKv/Ifgbxk4K6of3bBf+mll5KSksL69etdeVyu7SMEesA4Y1OxKV+8+xhK+LYzlSfYu+nAwb0oisLkyWUUFZWQkJDInj07g/avcEu99Z0nHQ7f70332s87d23j1OlWZs+6lJSUVK9tAUwmc1Ay7Gxmbm4uVqs1qMp9BBcG/vCHP/D973+fb37zmyxbtizkCL5ly5Zx+vRp3nzzTUBPtbnttts8UmZaW1vp7Oz02jccAcpQ4dRUcddW8SWWFujcznVDbW1twHOFe9xQcOjQIRYtWsTIkSO58847GTt2rMfv8+bNo6SkhBdeeAFN0+jq6sJut3PjjTcGbVugiK8JEyb4VAOvr693pV4FwosvvkhJSQnXXHNN0G1BDyFPTw+evhIMEQIdwQWHc7Vg7A+BHmyEQ4qFGFg+nDvKy8uJjo72yOcMBlmWueyyy5g+fbpXjVtf6EuIA+Wcnysvga/zGI1GpkyZwte+9jUyMjLYunUra9asoamxyWO7cAixw+HA4bAPeS6/O1QV7BcBidaNSsH7udVqZd++feTm5voVwHPCKYKya9eukNqgaRqffPIJXV1dXH755T7zs5xRFb5gMpn8Riy4R5w4pzqTycRll12Gw+HwWnz0p1Z1BGdhVTQcqkaXXaXLpoacMnMhINh0r4vtBX8vdXaeobLyCIUFxSQlJSPLMpMnl9HR0c6xY1VB9w+vJKNno4XQvNroXo6xre00VVUVlI4eS06O7/eRwWAIKQLIyd2dURyRclYXJiRJcs1pu3fv5mc/+xm33367K3w41Plu3rx5PProo7z99tv89re/xW6388QTT7h+LykpQdM0XnzxRY/9ampq+Pvf/+7VloHCqf6+YMECV4nO559/3mOb9vZ2/vznP/s9RmFhIUajkeeff97jPdjT08OHH35IQUGBz99tNhu///3vw26z+7XffffdjBo1ipkzZ3r9Bnr4+8qVK7FarTz++OP89a9/5ZVXXnE9t5SUFNLS0nj55Zc9CLMQgt/85jd+3+vXXXcd5eXlHhUpjh07xunTp1m6dGnA9r/66qtERUXxrW99y+N8hw8f9rm9oijs27ePxYsXBzxuKIgQ6AguOFyIBNpX/eVBQZhrucFY+nV1dVFXV0dJSUnYXt+0tLSQLILgTaADEY5zJZIUiKgnJibqJYYWLsRqtfKP9/7B1q2fYbPpYlaKElptU/ftBiNXPRxoF4EnOtTSOXv27EFRFC655BJAF/GKjo72+hiNRuLj4xk7dixVVVWcOnUq6LG3b99OfX09s2fPJjMz0+c2wUQIo6KivPpb34gT93reqampJCcne+ScubaLEOh+QRMCi+PsvbOpGmesKo4vSB31YMMg1KiovXt3IUkyEyZMdn2XMzKXtLR09u3f7eEN9oVwom98KX/3NT66E+rde3ZiNpsZP2GSz+MFC932bKd+L2JjY0lPT48Q6AsUqampnDhxApvNxsaNGwF9znU4HLz//vu0tbXR0NDgiiDwp4Hx0ksv8emnn3LttdcycuRIzGYz69evd5G3+fPnM2bMGJ588kmefPJJtm7dyquvvsp//Md/cO2117ra0trayunTp13vlHDg3seee+45Fi9ezNy5cykpKWHRokWsXLmShx56iM8//5w1a9Zw11138bWvfc11XeDpnImPj+f2229n3bp13HTTTaxZs4a33nqL++67j1mzZhEfH88tt9zC+vXrueuuu/j0009Zu3Yty5Ytc+WGO4/nPjc4x6DznM486YqKCpqamqitreXkyZNUVFTQ1tZGTU0NmzZtcl1je3s7x48f57bbbuNb3/oWkyZNIiMjw/WudOLee++lvLycG264gXXr1vHJJ59w++23M2PGDNf676abbuKWW25x7XPTTTeRnp7Oa6+95vruz3/+M2VlZSxYsADQnT4zZszwqPH89ttv8/bbb5OUlMQ777zDO++8w9tvv833vvc9DAYDmzdv5tvf/jYffviha59f/epXLFmyhEmTfM834SCSAx3BBYdz5bVzihOF4v0cCu8zhF+ixF1IrL84cuQIQogBKxAGQ19S7Ayh9vV8LwQCDbjyp7Kzs9m5cxeHDx+itu4EUyZfQkFBEYqiBAzPBc/QRCF0sapgOVCDCVUFY5j5/RcSQiGLZ86coby8nJKSEpKTkwOKjUiShKIoTJw4kYqKCnbs2MGXv/xlv8euqKjg4MGDjB071uVF8HXMUPqss3SWE325jnsYN+iCOXv37sVisXiEMUYIdP/Q49C8PM6qEJyxKcSYZGKMcng6GJoKdhsYTGA0DvkYC6aPoSgOFEXxW+4NdGXrEzXHGT9+koe+gyRJTJl8CR9+9E8Olx9iwnj/C8rwQri9t3USIKfRyfk+bWisp6HhJFOnXEKUH5JsNnsbovxBCN0oJRv0POjdu3e7SktGcOFg2bJlbN68mS996Us89NBDLFy4kOeff56PP/6Y5cuXc+utt/LKK6/w3HPPMW7cOFcJwT/+8Y985StfYeTIkQBkZGRw6NAh9u/fz+nTp13aE5MmTeK9997DZDKxcuVKHn74YZ599llefvllFi5cyNNPP01cXBwA119/PW+99RZXXHEFDz74oF/xR3/405/+hKqqtLS0kJGR4eEBX7FiBQ8//DCrVq1i9erVzJo1i5///OdkZmayfft2F2H83e9+x6233uoidT/96U+RZZlVq1axdetW5s+fz3/+53+6IqEeffRRQCeQH374IVOnTuWnP/0pY8aMob29nRdeeAHQFbHLysqwWq289957rjbdfffdzJ07l0suuYTvfe973HLLLSxfvpyHH36YX/ziF8yZM4cbbriB5cuXc8stt/D//t//47nnnnMZqX/3u99RX19PT08PqqoSHR3N6tWrmT59Ovfeey9dXV389a9/ZdmyZYwdO5Yf//jHXHbZZa774i7ECZCQkMDbb7/Nf/7nf9La2orVaqWzs5NXX33V9Z61WCy0trbS3t4OwLp167j33ntxOBx8/PHHHsebMWMGJSUl2Gw2amtrWbZsGZdffjkFBQXMmTOHRYsWhfWM/UES59I9coHAV6z9uUBaWpqHWl0E3hBC0NPTc868dlFRUSGFhvX09IS1iEhNTeX06dNBt3PYNcJZG8syAxKL0jSN1157jbS0NL70pS/1+zjBIMuyx2LNib71e0FfyMXGxp4TwqdpmkeYUCCoiqCl9TTbt2+hpaWZS8pmUFo6lpgYz7a6P2u9/JLF61hRUdH9rjveHxhNEkbjF5NA22y2oOHyn3zyCbW1tXzjG98gNjY26Dh2jt8DBw6wbds2vvzlL3uprjscDnbv3s3BgwfJysriiiuu8Fq4O5+10Wj0KWrTF4qiuMpxgS4cpjg85zajScJg0J/V6dOneeutt5g9e7aHzoDBYAhL2T8CUDRBhzWw4dMkSyRE+Y6M8fW+FlYLWN3mD4NR/5hMYPStNj0Q2G3+3w+qqtLT0807776JLMtMmzaT4ZmegjtCCD76+H06Ojq47tolPsfIho3raGys57prlxAd7b+PxcTEhpCDrGGx+J5fDQYD0dExrjlSCME/338Hu93GNVd/DYPBe340mUwhe5/PnkfCZJaora3lzTff5JprrvGpzu+OoV6buQtC+cPJkycjRD8MCCH40Y9+xJ133ulyBggh6OjoYMWKFVx77bWu0lVDgV/+8pf8+te/HhQxqi8K1q1bx969e7nvvvtc3zlTqd577z0Xsb+YYLfbfVZogUgIdwQXGEIN3xzM8wVDsNrPA0G4lzrQZpw4cQKLxRKWeFhfhPJ8/HnnfH3vXgpoqBHOuTQhSElO4UuLFpOSkkr18aMuVVl/8Ef87PbgodyD2e+1L0iIqi8EG2stLS1UV1czfvx4l+ElmHHCSRzGjBlDfHw827dvd91vIQTHjx/n73//OwcOHKC4uJiFCxcGJAuhGkP6pi34esSq27NKSUnxKh2ibzN0c9DFih578EgmhyboDiflwd5HpEdVwG6F7k7o7EAMcqRSoClBURzU1tXQ1dWJzWbl448/YPNnGz0I7Mn6Opqbm5g4YbJfA9PkSXrpnP379wZsSyhh3IH6qF5eS3WFbx8/foy2ttNMmjjVJ3nWxfjCj9xRVV1DISsrC6PRGAnjvkixZs0adu7c6RFJJ0kSycnJFBQUBNXF8Ierr76asrKygJ/z5YQ7n7DZbNx9991e3tvo6GhKS0tdtaT/lRAJ4Y7ggsK5FF0K9Xyh1osNF+EocHvspwkkuX+Es7y8nPj4eL8WtVDOrQkIFr3qj0DLsozBYPC47+cqfNu9DaE8d+ezkSSJvNx89uzdRXd3F5KUiNGHt0nPk/e9gBZCYLPZvLyWztJoDocDg8EwaKHemjawfnI+EWgRLoRg+/btREdHu2omB8qtd8JZGsVgMFBWVsaGDRs4evQoGRkZfP7559TV1ZGamsqCBQvIyMgIeKxwFOP7pi34EgEUbs/KmUKwf/9+rFarR39xOBznNBXgiwybouEIMT/GpmoYHBIxpsD+BKE4zqpU+YKmQlcHIjoGKdo7+iZcBHo/6OJhKpWV5cTFxfGVq77KocMHOHRoPydP1jJp0lSKCkvYs2cnCQmJFBX5TkUASEpKpqiwhMqqI4wePdZDQdgdqqoRzG7kK//ZHQ6H3TVP7t23i5SUVPLzC7y2kySZqKjgER7+oKr6mM/Ozo4Q6IsUdrud8vJyXnjhBa677jqSkpJoampi7dq1JCcnB53H/eHdd98NaTvne+pfJUXAmYbxq1/9ip/85CeMGjWKrq4udu/ezdatW3nggQfOdxPPOSIe6AguKJxrAu3Mg/YHRVGGrE39dTj2d7/29nYaGhoYPXp0v1WvVS24dzMYwej727mu0xlyPp1bt8jJyQegtvaET1VZCK7SraqKy3sthMDhsGOx9PR6p/Vj9vVCK4qgucHRL4+y+gV0WAaLQKmpqaGxsZEpU6a4PGqheIPd+2RBQQHDhg1j69atvPnmmzQ1NTFjxgyuvfbakBZdxjBzX937u7+pxv37/Px8hBBeC/+hKKN3MUIIQY8jvM7f41CxBxswoRpSrRZE5xk9X9oPhKYF/B2Ce5/b29toamqkqGg0JpOJSROn8JWrrmPYsDR27NjK22veoKOjncmTy4LOeRMmTMJgMLB3706/24QSARFsG2e5rYqKI3R3dzN1yiVeY0mSJKKjowcUlaQq+s3Lzc2lra2NM2fO9PtYEVyYWLp0KY8++ih/+tOfmDJlCpMnT+bRRx9l6tSpLFmyZEjPvW7dOhfRfuKJJ9i/f/+Qnu9CQExMDKtXr6anp4errrqKkpISbrzxRurq6viP//iPf0njbsQDHcEFA6dV/VxDVVWfCwwhxJB5n/Xj928/TfTP8lVeXo4sy36FkYJBCOFamLgLH/VFsDBppzfQifPhgQ6GvkQlMTGRlOQUampPUFo6DodDwWg8GxIZyPvsDrvdjqbpYeB9z+H0RptMJoQQNDcoHDlgxWYVxMbLlE6IZlh66FO2qoovXB60vwW4e35ycnKyK2wvlPBtJ4xGI4qiIEkS06dP5/333yc/P58ZM2b4zNf3h3D7q7O/ByK/qiow9D6rYcOGER8fT3V1tcdYde8fEfiHRfEWDgsFXXaNpCgJg4+oDSEEOMJ4F6gOONOBiIlDiopCqCooiv69oujeanMUxHqXR3OdMwAXdTgUKquOIMsyRYXFru8TE5NYuOAKamqOs3PXNjIzhpMzMnhoZUxMLKWl4zhwYC9dXZ3Exyd4baNpasB5X98m+H232W0cOLiXrKxshg/3zg0ORzTMH4TQ2+IMK62pqQm5ekQEXxzcdddd3HXXXef8vAsXLmThwoXn/LznG1OnTmX16tXnuxkXDCIEOoILBueDPDvP62tR6nA4hjTvsN8EWhNAeMRIURSqqqrIy8vrtxiR+4JOCPC3jgpGMJyKsU4F9HOtFh0agfb+Lic3n337dtPT001sbByqqrquNVTvoNPz7A+K4sBhM1B+wMKpZpX4RJmCkiiOV9nYtaWH4dlGSsZFExUdwjV8AcO4+443Z37y1q1b6enpYfTo0ZSVnfWohSPM5vQcO/Mjb7nllrCF3cIh7E44+7uiBPBI9i745d4w7lGjRnHgwAFsNpuHZd/hcEQIdACommfZqnAghKDTrpIYZUDuOyc57MElsb2PCJYuhLXH975B8qX9TSd6yoed6mNHycnJ8xL+kiSJvLxR5OTkBSW87igYVciBA3uprT3BmDG+yaamaQHn92Ah3AAHD+7HbrczZXKZ129ms3nQxBZVRZCamkpcXFyEQEcQQQSDjkgIdwQXDIaqVFQw+CLumqYFDckdKHzlQ4a2X/j7HDt2DLvdPiDxMMUtjDhQSHEoCyDnNufa+wz9Ey0zm83k5uQBUFurh9Y6iXAwYbFQoamCE1UqW9Z30X5aZfT4KGZcFsfIfDOzFsRTMDqK5gaFzeu6qDlmC8nbc55sUiGj7xhwJ9Bnzpxh7dq1fPLJJ0RHR3P11VczZ84cj7zgcMmke9/sz0K9v+TVYDAEHbcihDDuIatHf5Ggv+TZCVUTdNk1NFV4jq++4mHhwN+D19SAYdz+vOiKonDiRDV2h53iYj1825cIl1NvIlQkJCSSkpJKTc0J/20K1N4QBEC7urs4cuQQBQVFpKSkevxmNBoxmQYvl9Q5TPLy8qitrY2I8EUQQQSDigiBjuCCwflaGAohvF6uwUIuB+e8/d/XF3nSNIGq6mHW7h/FoXH4cDnJycn9VqbUNOGxDvT3qALVI3WHc2F3Pgi0JElBCbT7tcqyAZPJTHJyKklJydTUHgecysgqDod3OHZrk6ChVoREcgHaTgn2bBXUVguGZcjMXhhPbkEUcq/32GCQKBwdxaz58SSnGDhywMa2jd1YLcFyDkPzig99X/d9fFX1NMY4x2F5eTlvvvkmzc3NzJw502d+cqh9zR0D9W71d3+DwRD0Hrs/q7S0NOLi4rzUuOH8GRq/CFAGoR87VI0um4rdpvdFoakwCAYy3yfz/yx98W5nqkhFZTlJSclkpGdiNJqIiooalEie3Nx8Wk+10N3d7fN3NUCeeCgEdc+enUiSxMQJUzy+76/idjCoqp4HbbPZ/qXKDUUQQQRDjwiBjuCCgFNc5Hye3wlFUYZ8kdpfBe6z+/cSZkXgsGvYrBoOu15jVlE8Pydqajl1qpXS0jH9XmT58jj7IoehEmKDwRC2h2QwEey87s/G6XU0GAzk5uTR3NyExaLXenY4HF558jaroOqQoLpCsHeboKPN/4O2WQVH9msc3iNAgrFTJErGS0RF+X5OsfEyU2bGMvGSGLq7NSoOWn1u534dwUi84hBD7qn2Z5BStbPndhqyNE1jx44dpKWlsWTJEsaOHeuTKPfHG+zsd/2BLMsDItDB+IX7s3KqcZ88edKrf0XExHxDCIHaz6ievrA4dOOX4hChi4f1BwGIua9HrCgKp061cvr0KYqLRmM0Gl0RNYNBQM9G2fj2QgfzQAdCZeURTpyoZuyY8cTFxbm+16sPDEw0zB9URZCTkwMQUeOOIIIIBhURAh3BBYHz7VVxlZkZYuEwJwa6/lUcQifMigi4MNc0zVXKpGBUcb8W3rq4m4/vfZw3HEJsMnmXgjpXCHZu530yGAwe4eY5ufkA1NXpizFfZKa2WjeOFJRKaCoc3CWoPKhht7t7WgX1NYLdnwvaWiG3QGLyDInkVCloSLgkSWSOMJFfaKapXqGjLTD7DST2q6oCh0Ojq6sHi8Xi9RmMseAUv+obYSKEHtXgrNvqXIC3trZit9sZO3asX3Gv/uQiOzGQMOz+Qi9nFXz/vmHcmqZRW1vruY0QQ55e8kWEMogRupqqoaiaPr9aBxC+HQA2ux2h+B5fPsud9c4LlZVHMBiMjBpV6CFkaDQaPf7uDxITk0hOTnFF2fhqgz+iHIhANzU3sn3H54zIymb8+Emu74eSPIP+njWbo8nIyIgQ6AgiiGBQMSgEuqGhYTAOE8G/MM53Xp/z/EMtHObEuXIgHTtW5SplIklyvzyN/giYr/DgcAn0+YIsywHLLjifj3tOnsFgIDkpmYSERL8LzO4uQXM9DM+B4dkSk2dKZOdDaxPs3iJorNM90vu2C45XCpKSYfJMiZGjJFe4Nugqu8GQVxSF2SxRecgaVOHZ9zUK7DYNm82Gqqg4HDrJdf/Y7XZstoERCGd0SV8jmfsw09SzC/CTJ08CMGKEt0KvE6HUfvaHcMtQue/XX+gCYcHHhvuzysjIIDY2lurqaq/tnPcy4ok+i/4ob/uCk7wqmkAoDhx2ddDna03TcCgKNqtVV+ju+7tP77MDq83K8RPHGJVfQFRUtFefNJvNSNLAlnW5OXm0tDTT09Pjt+2+4E9ArKurk02bPiEhIYE5c+a5IkCGmjw7oaq6GndjY+OA57IIIoggAifCnmnLy8t56qmn+NWvfuX6rru7myeffNLLUh5BBKEgWC3mcwHnAv9ceXb6IwQWLhTFwb79u0lLS3eVMlGV0PNynfBPwDw9JedDUXsg0D02vkmREPoCz90g4KwlnJubT1NTI1ard/h0TZXAYISR+Wdzl/MKZSbNkIhLgGNHBAd3CRQFSidKlE6SiI7xVTZHCxqVYTRKFIyOou2USmtTgFxKP2HcDrvoNRjpC3h/Q9DhcAxo4ek0TvVN09A8cuqFB4FOS0sLaOAYCJkNVqfcFwaabiC00IxL/sK4+85Lmqb3D8URWp77vwKUQQrfdvZLRRPgcCA0CCCg3i8ovWNCUVXsFm+i2pewO1NFqo8dRVVViotH+xwDkiQNuB5rbm+UTW1d6GHc/jzTDoeDDRvXITTBvMsux2zWDZIGg/GckGfQjXM5OTlomuYyzkUQQQQRDBRhEeh9+/bx+OOPs23bNurr613fFxUVceutt/LEE0/Q2Ng46I2M4OLG+fY+O2Gz2c6ZR2ewvCWBcLj8EBaLhSlTLvFYqDhrOYcCTQucq+2+Zh2s8iPnEr7Ed5xGAV+KsM48aCEEdSc9QwI7TgvaTunk2WTyPGZsnMS4KRIl4yRyCyWmzJRITQ8sZhZKWkN2nonYOJnKQ4FVufsOMUUROByqR0mtQMrqDofDp8EgFLh7S93Huqd4GKiKis1mo6WlhezsbL/HG0j4thPh7j/QXH2nQSYUwqD1CeNWVdWncdrhcKCqep5uxBPNoOU/O2+lQ9Wg13ChKv4NTP2B+ziw9/R4jXV3A6tOnvV3U2XVEYYNSyM1dZjfPmwwGAYU3ZOUlExiYhK1ftS4fRFlX95nIQRbtmyio6OduXPnkZiY1Ns+46CJnoWKjPQsiouLB2xciCCCCCJwIiwC/dprr5Gbm8udd95JWlqax29ZWVlMmDCBV199dVAbGMHFj/Od/+zEuVyEDrUH2mq1cOjQfnJG5pKRnunxm6YFF5ZyIhjZdidB50sQbCDw5bER6Is8X9cjywZSUlKJj0/wKPcihOB4lcAcDVkj/Z8rbbjEyHwJgyH44lFVlaCRGbIsUTw2iu4ujfpa/9ET7s9JaLrwnL1PaZ5ggmOKomC1Bg4X97WP+/buZNrby6bR0NCAECIggR4MQ024IeADPafzvoYSxq31CeOOiYnxqcbtsCu9pYPA4QjtmZwLxfXzhcFyxDvnZs1m9ygz5XAMTuqNpmmoHuEXCjabzWOsO5+RkzyDnkd85kwHxcWjMRiMAcXwTCZzv8XyQPdCN7ecFUvs2/6+fcjXvLF//x5q62qYOuUSsrL08SxJ8jknzzpkFi9eHHBeiSCCCL74EEJw9OjRc3KusGbYU6dO8fjjj7No0SKflrzk5GQOHz48aI2L4OJHIFGSixV9BWKEEFgtAmuP98dh79+Kbf/+vaiqyuTJZT5/D8VrJbTAAmWgk3EhhFe48xcJev3Rsx4bXXjGtwfHSbxyc/JobKzH1ru4bW2C7k5dDEwOgRyHilCMS+nDjSSlGDhabvNr8BDiLDFzOAQOh93nuAsWDhwuie4bXeIM4+4bBappKqqqUV9fj9Fo9CpZ5Y7ByJ0Px4s9GGrxzttlNIYXxi3LMnl5edTV1XmFcavq2bxyTQ0tssSZ236xQdXEoET1uBsYhOLA/ZYKAYNh61X63n+hofUZV7pRxO5h5KqsPILZbCYvd1TQMTDQUG5XlE2dt/CWr3d2379rao6z/8BeCgqKGD16rOv7gWgXDARCRFIdIojgQkZzczMPPPAAzzzzDD/72c/40Y9+RFdXV9D9NmzYQEZGhuuTmZnJ3r17z0GLISyzelZWliuHxRcqKir81g+MIAJfON/lq84H+l5tdYWgsc7PxhKMyBHkjJIwGENbeJw5c4bKqiMUFZW4wua82iD0RbchwAwQoOSn17HOpyDYYMBsNvfWddZ6vTu+iY5TTTk3N59Dhw9wsq6WtGGZ1BwVxMZDev/KbPuFojiCKoZLkkTJuCi2f9rDiaN2Ckb7Xjirqk7M9NBt395qTQVhFAHP5xQXC2WB7kt5W1EUEJ4dz5kqcPLkSUaMGOHXe2YymQbkWet7rFBKQg3U++zubQ/FAw36c3BeZn5+PuXl5dTW1lJQUKAfs9e4JYTieic7HAJZBkkO/Ozgi5luEQiDJiDmPIwmEA47qgD3mU0fQ/qzkWWQpLPPKVQovhKqFQeawYDVaiU6Ohq73e6hgN/V1Ult7QlGl4zBZDKHZNCRZQMGgxFVDZ/1JyenuMQSi4tHe/2uz5MGj7+dsNltbPn8U9LS0pk+bZbHXDJYY7c/0FQRUuRPBOcGFouFmJiY890M4MJqy7mEw+EYlJSogaKrq4slS5Zw6623cueddwLw8MMPc8cddwSNan7xxRf53//9X9fcYjKZuPbaa4e8zRCmBzpQKYC33nqLw4cPk5+fPxjtiuBfBBejNyQY3MO3FUXQ3ADJw6BorOT1yciC+hrY/bmgtSm08Mu9e3diMBiYMH5ywO0URfgsl6JpAlUVIedKCy18UaYLDU6Pjf4yCWwMMBgMpKYOIzY2jpqa49Qcs2KzQn5R4Jzm/sBZsqivOraT7DuRnGokI8vI8SobNqtvy4ezZFUwQbBQAkIUJXh4ed82eu7bNwRUo7PzDJ2dnX7Vt2VZDmjADReh1nUeMIF2uwWyLIdEIty9ZcOHDyc+Pp7y8nLXd87bKoTmMYcGC+X2VU7sYsBglbByPaveMnK+hMl0b6Ye0m23g9Wm/+tQfH/cDZGqpqH5yt/pJbmqqtLT410+bu/e3ciyzJgx4zCZQu+P/TVsOqNs/Ikl9hUScx/nx45VoSgK06fN8novGAyRyqkR6Eb+hx9++Hw3A9BJ5H333Xe+m3Fe8F//9V8eelbnC8899xzV1dXccMMNru+WLVvGunXr+Oc//+l3vz179jBixAhuvPFGrr/+eq6//nqWLFlyzgwCYc1m3/zmN3n66af5y1/+QmtrKx9//DGrV6/mxz/+Ma+88gqSJPHNb35zqNoawUWIi3ExFwzuJLilsVcldJRERpb3p2iMzIRLJEwmqDggOLxHYOnxv0hubW2mpvYEY8eMD8miqvSqcquKnhdrs2p6fekQcyoBZLl/ZYEuNOhlVaKCloFxqo3n5ubT0FjPkYMdJKVC8rChuQcOhx2r1eLz496XisZEoWlwrMI/QdbFiIIR3+DPPpRaxP7CzxWHLwKt0tCov8j9EeihyJ3Uy/74P2aohDcQ+nKwUI1N7mHco0ePprGxkfb2dsDzGbl7GDVNH9O+4Aqf17SLbt4dLAExFw/s7bshEXPhFMHz/XE4zor4qf7kvN0iIfpuc+p0K8dPHKO0dBxxcfFh1Xo2GAz97r+5ufk+xRIBVNUzX9s5pwghqKw8QlpaOikpqR77hFoLPYKLGxaLhdtvv91neb5zDVVVuf/++9m+ffv5bso5x8qVK3n22WfPdzMA3QE7evRo4uPjXd8VFxeTlJTE66+/7ne/Z555hj/96U9Mnz6dhx566Jz3qbBo+rBhw/jJT37CX/7yF06cOMFzzz3n+m3kyJHccsstTJw4cdAbGcHFCX8eqosdzrWeEIKmOkFcAsQn+t8+IUli4jRoPAk1RwV7tgqy8wQj8zzzbYUQ7Nq9g+joGEpLx4XWFg20fuZZO2EwGHvr3H7xSbTRaERxBO6TTgKUm5NHeflBznTVMr6s8Fw0zwO6qrXiWlDHxRvIzjNx8oSD3AIzcfGei1VVVUPKqRYaIT1Ph8MRMKTaH0nThE6u3b1jmqbR0FBPXFw8CT4Gg9kcWthquHCGr/kzBgyGJbuvvUInEcHL5Wnq2WdQUlLC7t27KS8vZ/r0GR5iVoqi4u6YV3pDuZ37CiEQGtisCg67htEkoarqFz5qxB3KYIZwawJU5/MRqEJg6DWyqKqKzW53GVYMvf92dHbiUBykpw7zcVCXmDdKr7FDUVWaW0+RlZHea8DRc2qEZPAwgAgh2L17B1FRUYwbO75fOcRGo9HLox0KUlJSiY+Lp6bmBEWFJZ6XJHQhMUmSPN7hTU0NdHaeYfz4S72Odz7Dt8Fbe+SLgj9urefY6f5VQBgqFKRGc9cM34bOYHjvvfeoqKgAYPny5cyaNYvc3FxefPFFJk6cyL59+1AUhV/84hfEx8dz+PBh3n77bQ4cOMAPf/hDvvvd72I2m9m0aROSJPG3v/2NiooKWltbWbVqFQaDgcWLF3Prrbcyf/58LBYLTz/9NB0dHVRVVdHd3c1jjz3GjBkz2LBhA7t376atrY3ly5czZswYbrrppqDXUFVVxeuvv86bb77Jyy+/zEMPPcTOnTvJz8/nySefZPbs2YA+X6xYsYKGhgbq6uqora3loYce4sorr6SpqYl33nmH1atXs2LFCh588EH279/P+++/T2FhIZs3b+b9998nKSmJLVu2MHv2bO6//37X+H/ppZc4fPgwra2tlJeXc88993DzzTfT1tbG3/72N959912++93vsmfPHl577TXi4+NZsWIFM2fO5NixY7zzzjsAPPXUU6Snp7N8+XIsFgtPPPEE6enpqKrK+vXreeSRR5g6darr2isrK/nDH/5AWloa//d//0dLSwtlZWXMnTuXn/zkJwC88847bNy4kc7OTvbt28fSpUv5wQ9+4Gr74sWLMRgMvPvuu9hsNioqKrjiiiu87nN2djZ79uzx+xzmzJlDdnY2GzZs4MUXX+SVV17hhRdeYNGiRSH0xIEj7NVBWloa999/P1arlfr6ehRFITU1lbS0NE6fPj0UbYzgIsXF5gUJFc4FdWcH9HRDYWnw0F9JlsjKgWEZcLxSUFcNrY2CUaMhpdfzWXeylpaWZqZPm3XOcpKdHg73nM2hgnPBNtTnCAZJknDYZVpODsNoiKfTtheTeSQQPaRt8wWHw+HhkSooiaKhzsH+nRamzY3zyPlzL1kVDM48z2Cw2+1ER3tfd6Da7pomEJwl0E6PaFNTA3l5o9A0cKd2siwPaX82m81+c6EHg0D3zc91kqBgfU1VwdCbjx4TE0N+fj5VVVVMmjgVWT7bLmcYtzshduZDa5pwzTdWq0Ov3S4urrlXCOHl5e/vcXT1Ls9xoghwDiOHoiAQqJqKqqn0KAoHKsopP1aFLElcveBLZAxL83F0sFpVVE0gyYINW7dTU9/A1HFjmTRGzzHWbHYU2XMs1TecpKmpkUvKZmAymcPyPjthNJpwOBxha41IkkRObj7l5Qex2W1EmT01D1RVxWg0ekS0VFQeISoqirzcPK/jnU/vsxACFCtEx523NkSgY8mSJaxcuRLQQ4gBxo8fz0033cRtt92GoiiMHj2awsJC7rvvPmJiYti0aRPHjx9n7969PP7442zevBlJkvjggw946qmn2LFjB5KkGwbfeOMNHn30UXJzcwG44447+PGPf+xy7t1www3ceOON7Nixg4ULF/Lmm29isVhcbQkFMTExVFZWcvz4cdauXcuzzz5LdXU1d999N7fccgtbt24lLS2Nhx9+mMsuu4zvf//7ADz44IMsW7aMTZs2kZCQwIkTJ9i1axevv/46y5cv5y9/+QtJSUmsWbOGV199lZUrV2IwGHjvvff4zne+Q1FREddddx0rVqzAaDTy5JNPAvDb3/6W+++/n5ycHObOncvs2bN57LHHWL16tUuQ66tf/SrLly/no48+oqCggK9//eusX7+eBx54wHWvnnrqKdasWeMS4WpsbOSee+5h69atgJ6r/K1vfYtnnnnGdZ6lS5eyYMECHnzwQQDWrFnDtm3b+NWvfgXA22+/zZ133kl6ejo333wzoAtOO9He3o6maR7eZyfi4uICKmrffvvtrv+/88473H///dx5553s3LmT1NRUv/sNFsJaHbz00kt85zvfASA6OtolaOLEtm3byMjI8LBWRBCBP1xMi7hQ4W4Fb6wTGAyQFobwlDlKomS8RMYIQfURPaQ7NV2QVyTYs2cHiYlJFBYWD0HLfcO5oFM1gZGhJbeqApIkQhZT6w+CrTE1TXDiqJ1jRxSQJCaMu4y9Bz5g06cbWLjgS+fcy6JpGoqiuIheVLTM+Kkx7N1m4dAeC+OnxrgWFuGMN00VEMJ9dubU9vVmBvJ0Cw00oUefyLKMpmm0nmrB4XCQNXyES9ldknTDUnR09JAaTiRJwmQyeXnpBhL+6o6+HmhnKGso4k5C6EJVAKWlpRw7doxj1ce8PIKKong8A6F5hjVrmuoiOpp2Npz7Yki9UMXglCB02Xv6PBdVEyBLveWn9DEkhKC2oZ5dB/fTY7VQnD+KxpYWPty8ka8uupK42FjvdqoqDhUOVBympr6B5MQEdh08RHJiAiMyRqA5VCQ3fqdpGrt37yAhPoGiopJeUbDwSagkSRgMRhQleNRDX+Tm5HG4VyyxoKDI4zengcz5b09PD3V1NZSWjsXgQ53yvHqg7XaQvpjRbv319H6RsGzZMi69VI9akCSJhIQEV+m+/Px8CgoKOH78ON/+9rcBuPLKKwF44403yMjIcM1jS5cu5Y033qC1tZXc3Fy2b9/O5s2bWbVqFatWrQJ08ltSUkJNTQ0pKSn9am92djalpaW8++67/Pu//zuSJJGVlcUjjzzCPffcw6pVq/ja177Gyy+/jMFgYMuWLYCe+z158mSOHTvGFVdcwbhxeqTgkiVLKCkpYerUqaiqykMPPcTvfvc713hfvHgxzzzzDHPmzMFms/H0009z1VVXsXz5cgA6OzspKyujpqYGg8HAsGF6JMw111zD6NG6gW7+/Pn88Y9/DHhd8+bNIynprPBsYmKiRwnFbdu2UVdXx/Dhw13bZ2Zm0tra6trm5z//OaNHj3a1zWazUVZWRmNjo2ubV155xfV/p66Jr3dROMbza665hqSkJL7xjW/wwQcfeORTDxXCItBNTU0Bfy8qKuL3v//9OSfQDQ0N1NbWMmrUKNLT08/puSPoH/Tw039BAt37r8MuONUMmdn0Sxk0OVVi0gyoPwF1xwUnais5c+YMl1664JwtVCTprAiT0IbWQ6yrNwskifNGoE+3KJTvt9LdpZE+3EBuoUZUdAapaZfz8bq17Nq1nUsumTFkbfMHRXF4eEozhpsoKtWoKrcRn2hnVHFU2CGczlJKoYTlOxyOkAm0U20bdELhJNCNDfVIkkTm8Cx9u16F+MFU3fbVFuf1mUzeXrrBCd/23aGioqKwWLSQ8tGdbczMzCQ5OZnKyiNeBFon4/5V0d2Vn/U2SS4P4vmGpunjur9zx2DlPwuN3vDtPgS69/DO8lOd3V3sOLCPhuYmkhOTmDd9JiOHj+B0RztrPv6ADz/byNXzF3ndW0VTOVFfx74jRyjKy2PW1Em8t34TG7ft5Iq58SQnJnkYTKqrj9LR0c6lc+djMBgG9KxMpv4R6GHD0lxiid4EWu39V+/DR49WIoSguMhbtRvOH4EWQoDNCtHnv69H4BsPPPAA9fX1PP/8866Ug74RTL4inex2O7W1ta61R05ODpIkucSMd+zYQXx8fFje5XDhPm85jQDV1dXs3LkTTdN45JFHglascL+2I0eO0NLS4qEFIkkS119/PQD79u2js7OT73//+xQVFXkdyx/MZnNQAdFLL72UmTNnsnr1atra2qisrPR4JzrXESdOnHCde+TIkYwaNQqAtrY2jh49yn//93+zcOHCkNqVkpKC2Wz2WcGpu7ubrKyskI4DcNlll5GXl0dzc3PI+wwEQWeUzz//nF27dgH6Tfv973/vczubzcbhw4f7lWvz2WefsX//frKysqiqqmLhwoVMnjw54D6apvHxxx/z0UcfMW/ePGbNmtVva1IE5x6h5GJejHCul5vqdZIyPFuipaWZysojCK8CVxAbG8fECZN9eh5kWWLkKEhOc/CP9/YQZcqgtW4ktjPhWdoTkiUyR4S/gO27oAtWFmsgcK5pnfU8B7sciTNP1JeAlhCCQ3us1Nc6iImVmDwjhrQMIxZLD0IISkvHUV9/ksPlB0lOTqGoqMRjITzUcHqX3ftIfrGZzjMqVYdtxMRCQrJvY5XQBE31YDBAepZng93Jm2t7j5JM+m99vdB9w7e7uro4dOhQr0jI2fxmVdXDuJ35z8NS01xhoqoqMJoMGA0mV/1qJyS5/2TLCU3ThfLMUfpxfHmhByd82/f3umc9KmhNbfeyYpIkUVI8mm3bt3LqVCvD3EKFnQZJfx5Kd2Ol89G4Ry6cT6iKfn39iE7W9x+s/GcNcHgvMFVNuCI9Ko9Xs/PgPmRZZuq4CYweVUhcjO5tTk1KZv6M2Xy4eSObdmxl/ozZrn6qqiqn2tv4fPcu0lJSKRs3CaEZuLRsBh9sWs+G7Vu48tL5RKmxYDSiKAp79+1m2LA0cnLyBlxqxum9Dtdo7VTjrqgsx2azEhV1dqHv7oHWNI2qo0fIGj6ChARvDQNJGrgYX79hs3mHgURwQeEPf/gDH3/8MS+88AJJSUmsWLEipP2WLVvG2rVrefPNN/n617/OgQMHuO222zzCd1tbW+ns7CQhIcFjX5vNNqBa6b6QmJjo8S/oZLq0tDTkczv1OGpraykpKfG5jfO4fQn0QK/p0KFD3HPPPTz55JN84xvfoK2tjffee8/1+7x58ygpKeGFF15gwYIF9PT0YLfbufHGG73a1hd2u91vFY0JEyb4VAOvr69n3rx5YV1DSkrKOXOkBp3RZsyYQWZmJhs2bODUqVNs2LDB5+fzzz/nzJkzfOUrXwmrAevWrWPlypV8+9vf5tprr+Xb3/42Tz/9tEfJjr6w2Wz8+te/5uOPP+bBBx/kqquuipDnLxj+VQm0JvRSVE0nBYnJEBsvceDAXmpqj9Pa2uL5aWnm0KH9bN/+ecBF9rHjh1BUK1OnXILBIHGmg5A/HW1wrFywb7ug60zoC1En4fC4tiESaXF6n53wpzIc7jH1sk4Cm03DZhXY7QLNx/rydItKfa0uzDVrQTzpmabeMNyz0+fkyWVkZWWzfcfnNDU10ePQBq20jj+4c8i+3iVJkhg3OYaEJJlDe2z0dHnfszPtgr3bBceOCKoOC6yWPsrYvXWjNVUnm3abht0mcNiFl6HBnXg6x7aqquzbt4+///3vHDhwgLVr12LpsSJUFWG3o3R1oXa0Y+nq5NTpVrKy3EMVJSTM2O3C6zMYa2HFIbzKdbl7u/sj1uQLgdoqywbM5uCLHefQF0KQn1+I0WikotL7/ejf66/5KDt0YUQACU2gqrrBpL9h2IMxzkTvvIyfe2hTVWx2G7sO7ic9JZWrFyyitKCImCjP9IL87BwuGT+Jqprj7DtyyPV9Z3c3G7d9TpTZzKXTZmAwGNA0iI2J4dJpM7BYrXy6Yxtab/51+ZFDWCw9TJlyiSvkf6D9sT/504DL87z5s40ehjGn0UYIwcn6Onp6enzWjIbzV75KaBrYA3vdIjj3cBef2717Nz/72c+4/fbbXeHDoYrLzps3j0cffZS3336b3/72t9jtdp544gnX7yUlJWiaxosvvuixX01NDX//+9+92jJQnDhxAoAFCxa4yO/zzz/vsU17ezt//vOf/R6jsFCf459//nmPObGnp4cPP/yQgoICn7/bbDa/Ds5AcL/2u+++m1GjRjFz5kyv30APf1+5ciVWq5XHH3+cv/71r7zyyiuu55aSkkJaWhovv/yyx5pACMFvfvMbv3P8ddddR3l5OT09Pa7vjh07xunTp1m6dGnI13LmzBlqa2tD9n4PFEFNmpIksWTJEtLT0/nwww/9xpUbjUYyMzM94ueDwWKxsHLlSr70pS+5QhiGDRvGlClT+NOf/sQvf/lLn/s9++yzHDlyhKeeesojGT2CLwYuljIq/VGeFhq0n9IjyvIK9TDKpuZGigpLfIb/7t27iwMH95GckkLp6LFev1ssPRw+fIDc3HwKijLCvgYhBK1NujDZvu2C4dmC3EIJoynwdfkiGEMlqN43VVRovQrF/fRCCyGw2856UoOh7rgdk1mieEyUxzn1PFa19/8yc+dcxvsf/IONn37C3AVXkpyQiHEQvS6yQff6SpL+r9B0QglOVWvNg9QbjBLjp5rZsdlK+T7BhGlgMkk47IITRwXN9WCO0kXsqisENUcFJeM976nDj0K7u2cUzip8G41GVFWloaGBLVu20N7eTm5uLgX5eWz8dDMbPvmIBTNmu9qpIGioOYEQguFuBNpo9B+6rWn6vegvVOUseXYfw06jkM1mGzTPbF8Bsb4wGo1omjmgwJszEkBTwWQyk59fQHX1UaZOneYh7KSqCkJ4l+XylWsthNMwdX690M7Icmdt5f40ZTAMd0KgF2z2ZUED7A6V6rpaVE1lyrgJxEbHYDIYfXr8J48Zx+mOdrbt20NKYjLZmcNZv/UzbHY7X5pzGTFRnqGoaSmpTJ84hc/37GTnnp1MnDKNgwf3MzI7h8wMPddwMJ5RqOJ1fZGSksq0S2ayddtn7Nmzk6lTp7l+cxruKivLiY2NJTs7x+cxzpv32R7xPl+ISE1NZceOHdhsNjZu3AjA9u3bufzyy/n4449pa2ujoaGBlpYW0tPTXREgffHSSy/x6aefct1117n62Pr165kzZw5ms5n58+czZswYnnzySWw2G/Pnz6e6upo1a9a4iG1qaiqtra2cPn2ampoaxo8fH9Z4q6mpcYlwPffccyxevJi5c+cCsGjRIlauXInZbOa6666jubmZv/71rzzzzDPAWYLqfm3x8fHcfvvt/PGPf+Smm27i+uuvR9M0/vnPf/LUU08RHx/PLbfcwp///Gfuuusubr31Vnp6enjppZf46U9/6nE897Hu9Gw7tUecedIVFRXExMRgt9s5efIkiqLQ1tZGZ2cnmzZtcl1jYmIi7e3t3Hbbbdx1110uT/f27duZMmWKK+T83nvv5fHHH+eGG27ge9/7HpIksXLlSr7zne+43k033XQTsiy7xORuuukmnn/+eV577TWWLVsGwJ///GfKyspYsGABAOXl5Xz729/mwQcfZMmSJaxZs4a33nqLu+++m+nTp6OqKsuXL+fhhx925WgPNULuJZdddhnZ2dkUFvov19LS0uJ6OKFg7969dHd3e4UpFBcX89lnn3l0TCf27dvHZ599xg033BAhz19QBKsf+0WB0EAjdBLtDH9tPCkwmSA1A5qbm1FV1YM8uGPixCm0d7Sxa9d2khKT+3jpYP/+vaiqyuRJ/dMdkCSJ9OGQkga1RwUNdXCqWZBXDOnD/YfK+vJmCKF7lKRBLGfV1/vshKIIzP0k0KoSXCzMCatFo6VJIa/Q7EXYDQYD7l3ZZIpi2uwFbFz3Hju2bGDO/C8TYxq4MrfJLPnsY5IsIcvCLSTX4eXRNBhVSidKHNgpqDggSMuAE1W6129Erl5/3GCUsFkFdcchK1eQkBhqf/b0gjscDmw2G+vXr+fo0aPEx8ezaNEicoYPB2s3jsmT2bxrF7sOHeCS8RN726zQ2NKEyWhkWFKyfl0+ohvcofXm8PYHffuT0PCIw3KWtBosUhnK2t1sNiOE7wUinDVWOL3+xcWjqaqqoPrYUUpLzxrVnB7Bvm33ZawUmi4tfT7zoIXQ6887oSoCY5j6BpoQgxLCrYdv+zZi6It3B5UnqhmWnEJqUjKy5F/cRpIk5k2bSUfnGdZ9/ikjMobT0naKOWXTSPWzZinIyaWjs4PDR6toaTuNqipMnlzmOt5glBzTw8BNYanxO1FUVEJb+2lXmorTK62qKp2dZ2hoqGfihMl+137nQ4FbaJoevh3BBYdly5axefNmvvSlL/HQQw+xcOFCnn/+eT7++GOWL1/OrbfeyiuvvMJzzz3HuHHj2Lx5M42Njfzxj3/kK1/5CiNHjgQgIyODQ4cOsX//fk6fPu1KiZk0aRLvvfceJpOJlStX8vDDD/Pss8/y8ssvs3DhQp5++mni4nTFvuuvv5633nqLK664ggcffDBo+mhf/OlPf0JVVVpaWsjIyPDwgK9YsYKHH36YVatWsXr1ambNmsXPf/5zMjMz2b59O6+99hoAv/vd77j11luZNGkSAD/96U+RZZlVq1axdetW5s+fz3/+53+6lKofffRRQFe4/vDDD5k6dSo//elPGTNmDO3t7bzwwguArohdVlaG1Wp1hWKvWLGCu+++m7lz53LJJZfwve99j1tuucVFPn/xi18wZ84cbrjhBpYvX84tt9zC//t//4/nnnuOqKgooqOj+d3vfkd9fT09PT2oqkp0dDSrV69m+vTp3HvvvXR1dfHXv/6VZcuWMXbsWH784x9z2WWXue5LW1ubxz1MSEjg7bff5j//8z9pbW3FarXS2dnJq6++6pr7LBYLra2ttLe3A3qYfHl5OUuWLOGaa64hMzOTm2++menTp4f1/AYCSQyGfGUvtm/fzp49e7jzzjtD2v6VV17hzTff5Je//KUr6R90pbdf//rX3HPPPS7rgxP/8z//w+eff87ixYtpaWmhsrKShIQEvvGNb7hqrwWDr1j7c4G0tDQPtbp/RQgh6OnpGRTV1PMNh0MDASaz96IhNTXVq6ybqgi6uzR2bhZk50FekczuPTsoLz/EN5bc4HdB5nA4+GDtP7BYerjyy1e7csw6Otr5x3tvU1JcOmjiVV2dgmPlgq4zesms0RO8r02WZWJivFVmAYwmKexFcCA4HJ6LbHeYo3wTy0AQmsBmC73vHS23cqzCzpzL44mN87wXQggslh6SkpJpa2uj26GhahrNTfVs2/wJw9IymDljNslhROX0hcEY+H5qvWHoQG+5o1iX0UNRFGw2vX5oU73g6GF9u4QkKCiViIs/e1xFEez6TBAbB+OmBi+rBnretNGk3xNN0zhy5Ag7d+5EURQmTJjApEmTMGgqWPWwLFWBrfv2ceTYUWZMmkJhbj5CCNZ8vJaUpCQumzYLYmIwx8T5zZVyIjqmfx6tvv3JYJQwmfpGUvg3AoczhwshsFlD62tCCKxWq1eotXs73dv9wQf/wO6wc/VXvurxrIxGo1eeqsXSQ19IEpij9LzUWB+K0ecCiqKnBrjDZJbC0jdwqBpnbAOPZlLsAq3zDGgaqgpHK4wkJJhIH25BCDtNLU1s2b6ZmZOnUpCTR0xUtKuP2GxQeUyiraNP9IbSzfHG91A1K2OLRjN5jHcEkTs0IdiwdQsNLU0UFZUwY7q+njGZTCGF+ocCf/0h1H3XffIhLS1NfGnRlaSl6RFPu3bvoLz8IF+9bqnfvhQbG3fOFd+F1aKHevXCEGPGnJTgc9uhXpu5C0L5w8mTJ4POexGchRCCH/3oR9x5550upWkhBB0dHaxYsYJrr73WVbpqKPDLX/6SX//61+dMsOpCwLp169i7dy/33Xef6zur1cq+fft47733XMT+YoLdbic7O9vnb2Gbnj/77DOXWJg7CdI0jcrKStra2kIm0J2dnYC3up7z746ODq99jhw5QkxMDAsXLiQvLw9N03juuef4zW9+w7Bhw1wDyR0fffQRH330EQC/+MUvSEvzXadxqGE0Gs/buS8U2O32QRduOF+wWTU0TRAVLXsROaPR6CFkoS+mNU6e6AEsFI9JJjbOQHNzM8OHjyA9PXD49bXXfJ3XV/+NTZ+u5xtLrsdsjuKzLZswGk3MmXOZX0IbLpKTIXukoOKghaNHLDhscaRner7Uo6Ki/L7oDQaJqOjB8TYIIbD0+F8cG4wSUVHhnctmVX0KhfmCpgka6uoYnh3DyBzf49ZiiUHTBKbYeOJ6j5uYmIQsSez4fCP/fH8Nl0ydzpQpl4Tt6ZNlCXNUYDIrhMBqOevmNJvNrvHV3d1NTEwMoD/XmBgrBoPEiBzvMF+AknFWDu3pxmGNJyMrtIVcTKyBhoYGPvroI5qamsjPz2fhwoWkpqYibFaEpRui9WNZ7YL5M+bQY7Gwff9esjKGExMdQ7elh6njJ5KUmAiSREJKCnIw1dIYQ9jGE00TWC2e/Uk2SESH0V/DmcMVRcNuCz18VNO0kI2LkyZN5eN1H9Dd081It7BZSYK4uHjX8w0030bHyEiSRFxc3KB4OMOFpUfRQ7c1gSw5y3tJRMeE3haLQ8VoG7iehq3LhtqbB71/j50zHRqdZ1Sam8zkjjJRV19HlNnMhNFjiY2JwWw2o2mCo9UODpbb0DTIHmHE4NEnzSQlfpnjdXXkj5hAclLw8OnF8xdy4GgVEyaXER2tj93Y2NhBfT4Wi6XfGiRXf+U6Xl/9Cps+Xc/Sb9xEdHQ01dVVFIwqZMQI34tMg0EmNvbc1l8WqoomATFn15am2GiiU30bMyNrsy8e1qxZw86dO/n1r3/t+k6SJJKTkykoKOh3GO/VV19NQ0NDwG3eeeedfh37iwybzcbdd9/NG2+84fF9dHQ0paWlHDhw4Dy17PwhrBXdRx995JUQ3xfO5POQTt67oOy7mHP+7WvB2dnZyeTJk8nLywN0b9jNN9/Mpk2bePfdd30S6EWLFrFo0SLX3+fLCxzxQOtCCIMl2HC+YbPq12E0Sl6llfp6oFVVF2GqOSZIGQZ2xxnONFpobW1m0qSptLd7hrT4wtw58/h43Vr+8d4axo4dT3X1USZNmorNZgtansAfnEOv77oufYSg7gQc3NPJpOlnSZzJZMZut/sldZKk1yIeDATyPjsRFR2atxT0Z+Avp9cXmuodWHpUSsbjFU3ghN1uQzNGcbqt3eP7tIws5n3pGg7v38m27Vs4fPgA06bNJCvL9yLTF0xmCbknhFrMDt1rBme90KqqurzPTiT26ix2dPj2QCWmCKJj4ODeTkxRUtBQfJvdxv79uzlypJyYmBgWLFjAuHHjsNvtnGpscHmeQe9fdgcgYMbEKXzw6Xre37COUTl6ik5yQgIdZzowGU0o9jqIiUMK4I3pT6SD3ab5zNMPx5sdzhweSv/tC03TcDgcvfnM/vdNT0/HbI5i9+4dxMfFe/zW02NxvTutVotfvQlTj05Yu7u7Q661OVhQlbOREzZFQxOCGJNOEs1mKWR9gy67ii0EFbFAJfaEEDg6LOCwcbLWQGuLgZw8heFZcRzc38ORw3ZqW2soyCmkx9KD0DQaGns4XCnT1SUxLEUwulgjNsbXfY5HlsZSeVQlPVVFllUcioIWILa/KCcPq9WK1WpFlg2DnvKkqipWq6Xf+186dz4frP0H77z7d4qLRmO1WsnPL/D7DjOZTFitgx9KLTQNyU+kiLD0eImHGWxmzJrve3kheKAjCA92u53y8nJeeOEFrrvuOpKSkmhqamLt2rUkJyeTkRG+JgzAu+++G9J2znVsIHXpiwnOPPRf/epX/OQnP2HUqFF0dXWxe/dutm7dygMPPHC+m3jOERaB/uSTT7jvvvsYNWoUlZWVyLJMcXExoCvLffzxx9xxxx0hH8+Zw2y1ei70nH+7e/CciIuL8wqvi4+PJyMj47yFZkcQGlRVvWjIs7twjaIIZEPg0jqqIjjdoqfZZY7Ut2to1K2cWcNDe7lmZmZxySUz2L79c5qbG4mJifUpLBYOnGJhfYmlLEvkFkLlQUFLI2SOkImKigrqCQmnfnDg44RGPhQFQln7C+EdLhoMdcftRMdIpGf6nyY1ZBQ/Hu2YmFimTr+U4qISdu3cyrpPPiQ3N5+yqdOCemSMxtDD02WD5PKq63mwSr8W3bIskVcER/YLmhsh00+3FEJQXX2UXbt3YLfbGDt2LFOnTiU2NhZZljFpKg5rH5IucBVBN5vNXDZtFms/Xc/ho5XEx8aREBePhITJaTS1dCNsfhb50bEIg4lw8qBV1Vt124nB6K/+jhsuZFkfZ5qm16X2V7vXYDBSWFDkUmt2j0BxCoM5c6L9wZn/rQvQnVsC7Z6H7lAFihBEGQWyJIWlbxBqDWjF4cDkZ5ErNEB1cLpVpuGkgbR0lYzhGgmJMgXF3ezdXwkI7D3jqKmNRgiZkw0yUWbBhLEqGWmBS9YVjdLYulPmRK1McaFejkpRFP9EWlNd5NBoHPzIAIOhfyWtnEhOTmHO7MvYsHEd27ZvISEhkcxM/7VahyL/WWgqdHYiZEmvnWgwgsGAZDTqv/WjnGoEXywsXbqU06dP86c//YlHH32UxMREZs2axb/9278xZcqUIT33unXrXET7iSeeYMmSJUyYMGFIz3m+ERMTw+rVq3niiSe46qqrUFWV0tJSbrjhBv7jP/7j/AkFnkeERaBHjx7t8jCnp6fz6quvuvKO09PTaWlpYfXq1a6C38FQUFAAwKlTp1weZTjrIXbPi3YiOzvbZ2i3c/EWwYWLi7l0ldBA8rNO0DRdPKypXhAVDSm6+CGNDSeJiooiJcXbUOQPJcWltLWdpqqqgrKy6QMSADIYztbyNRi8ayCnZUJ9DdQeE+TkR4dcikTTYKBD0Q9v8IIuPBS8LnA4wmEA3V0qp1tVCkujAh5bI7gHPDUti69cdR2HDx/gwMF9NDc3cuWXryauj+fQCUnGK6IhEHRl7rOq4n3Ta8JBajrEJ+rPPC0Tn/molVVH2L79c9KGpTN9+pcYnqXXXDQajQibDdluxWQ04nAb733X6kkJCcyeOo0N27aQ1Zu+YDQaPe+lP8Zrs6CZQyd8wYwnfYXEBgPOuuL9hZNIm0y66JOvubO4eDSHyw+yd99uZkw/W3NY01SXISUQNE1gQC/hEshDO9jQS1ad/VvpDZ22KRoxJr28U6hGjRCzMVAUBYPR6HONIBSF7k7B8WNG4hM0ckepSJJ+HzVNo+X0MYalpJOZGUNdvREJQd5IjVF5IiTV8IR4yMoU1JyUGJktiInW+7osy1jtNt9jVVHAbO536algiIqKxmaz9ptEjxyZy6RJU9m7dxclxaMD9p0hWZdZrYDQC61rdpcAnJDkXrvaF19jJYLguOuuu7jrrrvO+XkXLlx4zkolXUiYOnUqq1evPt/NuGAQ1szm7j10io8cOnTI47sNGzaEfLwJEyaQkJBAZWWlx/eVlZUUFhb6DHuZO3cux44d86gXBnqIpdMbHsGFB2fJlIsFfRfH/ryQ0BuuaBd0tOmk1FlKpKGxnuGZWWEvMKZdMpOrrrqK0tKS4BsHgDtJMxi9vSiyLFM81ozNCnXHQ/doDrSsjF4bNvRjBOEJCM23kncg1B13IEmQnRt4AasJKejzcwiBLBsYP34SV375alRVZcPGdV7eRec62tQPETZ3ojsQgT5JksgvlrDboKHG+3chBEeOHCY1dRhXXHEVKSnD0DRxVinYYeu9BiNSr4dYaHqFoL7IzhzOFXPnMbF0jKf3ORhUFS0MI0Ew48lQlC8frMo5OpGO9hAGcyIhIZFxYydw9GilR11oJ3lWlMDkyPk6D+apHmyofbzPzudoVYWr7Fco0SeqFlrtaKeBQPNzjbYzdqqOGDEaobBYcRn/HIpCc0sTFquF/Nx8RubZmVGmMnOaRnFhaOTZicJ8gSTB0Wr3Mngy0eYo1zjxvDgFg8E4ZEYNSZKIiooeUG71uLETuOJLV1FSMibgeQabQAvF4VcxXS+NcXFEuUUQQQQXNsIm0I899hiPPfYY7e3tXHHFFTzzzDO8+OKLrFq1ipdeesmL2AaCwWBgyZIlbNy40VV0u62tjR07dvCNb3wDgBdffJHly5e7yNell15KWloaa9eudR3n4MGD2Gw2rr322nAuJ4JzCIfDcVEobzvRt76r0HwTR03TQ0dPtwIChmXoC6KOjnYsFktYObFOGI0yw4cPx2CQ+10P12jy9JxKkmftZ0mSiI6OIT0zmrQMI9WVtpDzh/0ICYeMcO0sqhp4Ie0IkzyrqqC+1k76cGPQfG5VCORgi1AhcPT2jeTkFObMmUd7extbtnzqareigUMT+nPpRzjxYK5RE5MlUtPh5ImzdaadaG5u5MyZDkqKS139R2hudcHd6mI7w08D8bi0lFSizFE64Q6HLFitIa+TgxljxBAw6ME+pO6d937IkyZNJTs7h507t9HYeFb4RlEUv4re7nBe+7ki0M750AnF/Q8hsDq03vYEfy5KiDfZeR8UH5Y2TRVUHhSoChSNVjCZnU0RqIrC8bpqoqKiyEwfjtFoICZWENcPvcboaMjNFjQ2y5zpPPu9LMuYfYXPn4P63AMl0ZIkkZ6eEZAgD433uf/52xFEEEEEg4WwZuglS5bw6KOP0tDQQFtbG6NGjeLOO+/kf/7nf1wEd968eWE14KqrrsJoNPLHP/6R3Nxcjh49yr/9279RVqbXQOzo6KCjo8NVrzIqKoqf/exnvPzyyzz33HPExcVx6tQpHn/88Uhd6AsYF5P3GXx7mDTVm8g4F++nmvXw7bjeKhoNDXq+/vAQ85/d4S6wYzRKODQRVniyJPkOzZVlCaOxN6dbNrgWP8Vjo9iyXqG60kbJuNDqGvc3rzRc7zPo3kWbVSDJ+jllWX8OVougud7hk0AbjRIZWUafbWw66UBxQE5+YGEQVdM9ZqEsEh3q2bzO7BEjmTK5jF27d3DgwD7Gj5+ExaESZZLDKuHjjr41oQeK3EKJPa2C2mOCgtFnQ+QrKo9gNpnJyxvl2lZVBQaDAaGzHtf3JqMRu10NGpEgIYVPFjQV1WrDEBe4P2pq8LExFA6rgUZh+IJeo9rT8yZJEnNmX8oHa99j06frufLLXyEhIdEvIT59+hSnT59y/W0wSEiyfpzhw4cPitiRoujh67JBH4fuhpG+nuW+kTs2TRClCQyyhKKCKcDQCrX+s9Yb/qCp3qHqR/da6e6UKCh2EBvnVpNaVbHabbS0NlNcMBqj0YAsG1DpR+mSXuTnCk42CKqOyUyZqLkifoxGI5oQONwiUiRAHqwwhgBwkuiBhHMHwmDnPwubzTsfJIIIIojgPCCsd0FSUhJPPfUUPT09roLeZWVl/OpXv2Lnzp2kpKSEXIvZHVdccQVXXHGFz9/uv/9+r++GDRvm8/sILkzo3pCLK6zK19pNVUVvKLTTMyfQVFAcgo7TkJVz9reGxpMkJiYRFxd+eQ93R53uOfYWAQsEo8k/SZMNIKmeCvjxiQZG5JqoqbaTM8pMTGxwwtjfPOhwQ63doYcK697emmN2jh2xBVxrxSXIlE6IJjXNcxqsO+EgNl4mJS3w4s+5gA9lkajneZ59dqWl42hrb2Pf/t3EJCSRPnyk3xz6UCEbpEEjbrFxEsOzBY11YLMIRo0GJAu1tScYXTLGo38I0XsP+oSky7KMJBmBwOH/YXufnee1WBCxgXPUQ11rC030y/Pv/3iDdigXfBFo0JXx5122kPc/eJcNG9fx5SuuwmTyNP7YbDb27N1JVVVFwOPfcccdA1aUVVWdQDvvvdxr2JJkz+ehCV08zANCYFU04syGoPoGvtICfMHdE6+qiiuvuLtDpeWkxvARKqnD+hJ7haPHKpEkidyReRgMen9XNEFUP/uJ0Qij8gQVR2VOt8EwN+kLs8mEpmmovW01GgxIqgrnQNttKEn0YJbfEprmUdc5gggiiOB8ImxjqizLLvLsxIgRI1yW64MHDzJu3LjBaV0EFwUuNu9zIJKiabogF5xd4J1u1UmGM3xbVRWam5soKgo/h1mS8PKayrLkUwTMF2SD9/6ex5cwmSWvhU/h6CgaTzqoOmxjQllM0PNoqoAwc3k1TQzYudB2SqF8n5WuTo304UbGTIj2KSdzpl3lyEErOz/rIWukieKxUURFy3R2qHS0qZSMC0zM4KwCsE4Ug9R47Q3jdnqhJUlixvRZdJzpYMfWT7l00ZXExAzr72X3tmNAu3thVLFETCzUHBXs+VygmioQQlBc7Fkq0GAwIDTJKxld08AgG5FQEH5EfSSpH95n5/FVDWGzIkX7748h1/wWMFhLfRFmREio0MPijT7n04SERC6dO591n3zI5s82Me+yha4+eexYFbv37MBut1NaOo7RJaVnoyYkMJtlTp06xUcffURFRQUlJSWYTKb+GTV8iKdpftJbHH6ejV3ViNZkDLKEqoA/Ha1QFLiFEB7nVhXVRaBPNeiTzfARnpOOqqooisKx41VkpGcSExPjmg9DqJgVECNHCGpPCiqPyaSmaB7G0CizGavNhiY0fUycw/dmf0l0sHlvUEO4bZahsUxFEEEEEfQDg56g8v777w/2ISP4AsNZO+5fBc4QRfcyTKeaBeYoSEjSa/s2tzSjqipZw8PPf/a3HvElAuYLxhBChE0mI6Y+sZPRMTJ5BWYaTzo40x58gdWfgIOBeJ/tNo2Duy3s2NyDoggmz4hhxmVxJKUaiU8wEB0je3wyskzMnh/PqGL9mj5b10VttZ3aajuyAUbkBPfCuS+mQ1ko2vsQBkk2UjZjHiaTiW2ffkKPZWDeFV3Ia0CH8DyeLJGVIzFllkRqukbdyUpio4ej2hM9tjMYjDqZ6UOgFcU/QZYkCbPJTExUusig2QABAABJREFUdP+FkgQIq9XvAj6cVIDBDJAZymCbQKrMw4ePoGzqdE6erGXvvt20tbfx4Uf/5POtm0lISGLxlddQNnUa8fEJxMbG6Z+YOGJjYxk1ahTR0dFUV1djt9uxWCz90q0IxwAWKIfZmQutKL71DYQQIYVw9xUOcyqUCyForVdITNZTa9yhqiqNTQ3Y7DbyR47SvcHOqKIQz+sPsgyFowRd3RINTZ79XpIkosxmDLKszyeqontdzxEkSfKKXAiGqKhovwYwp2FxMCAUR6Q0VQQRRHBBISTTv6qq9PT0kJCQ4HcbTdP461//yrZt2watcRF88THU5Lm6uhqAUaNGBdly8BDICO6sg+wkz4oiaD8Fw0eii37JEs3N9ciyTGZmZtjn9uc9DiWU22gMTaDKaDRiNEpe5WbyiqKoO+Fg/y4LiUneTM0cJVE8NsrVxnDyoLXecPf+oLnBwcE9FlQF8ovMFJREERN3dvFmMPaKEvW5NQajRNGYaLJyTJTvs1K+XyewI3JMmMyhlNA5e0BZDl5XVRUCTYDzllgcGlExscy4dD6bPv6ArZ+u5ytXLcYwAK+Ne01od7jy3qXe1AIt9LJe5iiJuJQGVK2b1MRLOLxXkJouGFUiERWtRytoqkAoisuIo7mJ4Zp6vaYCgSzJmIzGQRNI0hQN2WYFH15oLQwCrQtWDc5iPxjn6e5Saa5XyCsyh60TYDDo2gT+UmJKSkppb2/j4MF9HDq0H7PZzMwZcygoKPJLZoTQa3MXFBRQUVHhqiNts9lwOBwh1X93IpwUgkAE2q7pXmihKUh2I1FRnucP1RPc9z4Joa9n7BYZa7cgq0jrjd5BN8gIDVVVOVFbTXxcPGnD0l3h2662qYIYY1/yG8BTrnj2icx0QU2d4Ohxicx04WH0kmWZKHOU24Xq5azOFfT+ZQhJgE6WDa6a0mDzqirgK7Wl5pgNg1FiRE6YEQ59hMN6euBkg0TOSEF0lJ99IoggggiGEEFXMR999BErV67EarWSmZnJD37wA1f9ZidaW1v5zW9+Q0WF//yqCP41MZTqrkIIPv/8cxwOB5mZmcTG9kMetR/oq8DdF6pytmxSm1v4tpMX1dfXk5GR0a8anz6EeF2QZZ1E+yQOEiEpdrvKEaEvCt0v1WSSGDMxmqrDNjraPA0jQuiiXcMyjKRl6NOKL1E1fwhUpzcQ2k8r7NtpISFRZtyUGOITDBhNkgcxCWZciIs3MHVWLE31CrXVdvKKgi9Y+5bQkUK5UCFQesO47apA0TQMJonUtHQmlk1nz/bPOVlfT+7IkcGP5Qd9a0JLkm4o8BBzMpzN0dcNPsG9tZWV5cTExDBnfi6NdRJ11YLdnwvyCiUKSvTwbVXFVdrH3W6me5tNIEkYB9NFTi8xsVkRfTzZemmmMI8zaG0KfC+PHbHReFLBZhOUTghNlM8dRqMJu93m8zdJkrjkkhk4HHbM5igmTZriswRWn70wGAwUFxdz6NAhTp48SV5eXu+16BFEoRBovVRUaNfgFOALhG6bgkGz6UTeLmM0GV0GBFWERr5UHw1SVZXWk/oDH5am/24w6ERXUVTOdJ7hdPtpJk+Y6jqfO2wqRBs8xchMpgBznVEvVeyEJEFxgcbOvQZqT0rk5/aJTHEnlqoDOHcEGvQIJJst+IM0uamHR0XpKS/uOfp971tttZ0jB/R+e/KEg9KJ0T4NsX0hbHaP0AYh4HClTFu7RF2DoCBPkJMtBj2FJYIIIrg4oac2HaOwsHBAxwlIoE+cOMELL7zgWig2NTXxP//zP/zv//6vy4OwdetW/vjHP9Ld3U1CQgL33nvvgBoUwcWFoRQPa2trw2LRLdO7d+9mzpw5Q3YudwRLw3L37rmHb0sy9PT0cPr0acrKyjCZJRRH6PmSUh9FW18wGKR+KzmDs1zO2Txd+uSuZo4wkTnCm/irqmDDB5001TvOEugQvXqa2j/1aKtFY+92C9HRElNmxmI2y8iy7mnvC4NBQg2gUi1JEsOzTQzPDs2o0dd7Fmqun10VGCQJq6IhG84S/dxRhRzat5sj5eUDItDQe62q8DIk9IUk6xVoZYP+8Wdg6OrqpL7hJOPHT8JoNDAyX69nXl0hqK7QaG7oprRUZlivNIbqoxTrUJXk0QT6gLRZIPqsAa0//WkwhMSECDyeVVXQ0qRgMknUVttJSJTJzguPIDnFxPyFVxsMBubOnR/y8ZzlsUaOHElUVBTHjx93EWi9zaGx4nDuuSMET7VNcSAUDaNBQjg0oiXFFdGkSEaCqe7p+djejdJUhVMNEgnJEk5nryyDKunXeqKuGlmWGZVXiOQzd19gFxJRTnuUMbCh0CCD0scYmZIMaamC6hqJEVkCs79p5zykP+n1px2IAC86SZK9xrRTfM5Jog2GszfldKvCkQNW0jKNZI4wUnnQxtYN3eSMMlNYGoXJj7ClEEIf2244dRra2iXyczS6uiUqj8k0NAlKizWSk/p1yRFEEMF5RnNzM08++SR5eXm0trZisVh45JFHvDS33DFnzhwqKyu9vk9LS+PQoUOuvzds2MDSpUs9tvnDH/4wtAR67dq1mM1mli5dSk5ODocOHeKdd95h9+7dTJkyhZdeeokPP/wQgIkTJ/K9730vUkoqAhc0TRvS2s8nT54EID8/n4qKCsaNGzeg/te3xIn/7UI7ntobvp0xwukZlKiv18tXZWdnI8sSJhM4QiTRhkFUCfZ7DjdPkyQDIXqUDAaJ9EwjLQ0K2kQ9dFs3JAS/p/3JfVZVwd7tPaiKoGxWHGazvljztxADXX3cbhuc/tjXeyZJUsDQWidUTcPi0CW13J16BoOBvIIiqsoP0d3d3S91didkAxiM4bljZFnCZPZNoiurjiBJEkWFZ0XvomMkxkyS6OowU3HQxs7tClmZEuNKRcAoiUFHrwddttkQ5mhXJEC4pdBgcITEgpHI0y0KqgITZkRTe8zO4X1W4uJlkoeFbmDQo0SMXiGz/YUs6ec2GAzk5+dz7NgxVFV1zQXOebzvOO77XVgEOoTno6tSaygaWB1gUWVMBhmDDCoOTObAT0tvt/f3PZ0CSxfkj3aPUgGEisPh4GR9HVmZI4iOjsbhJ+/Wrupq3JIExhA6jWzwkgigqEDj8x0y1SckRhf5uR+ahlBVpEGO3AgEPRfaiD1AzrHJV+1qdBLt9EQ7Q7gt3Rr7dliIjZOZMDUGo0kiPdNEVbmV2mo7TfUOSsZFMzzbhxq/zeZhsRYCKqtlYqIFBfkCSRK0nIKKKpkdewxkDdcoHiXOZdR7BP2ExWIhJia4IOm5wIXUlnMJh8MxICHPwUJXVxdLlizh1ltv5c477wTg4Ycf5o477uDVV1/1uc/GjRsZM2YMDz30kEfliFdeeYXU1FSPbV988UX+93//1+XoMJlMXHvttQNud8ClTnl5Od/97ne55pprmDx5MjfeeCNf+cpX2LBhAw899BAffvghRqORm2++mZ/85CcR8hyBB4a6dFV9fT3JycnMnj0bo9HIjh07+n0s4Za3HGy7UNF2Sl9U6uHb+sLg5MmTREVFMWyYrrgsybrqdSjpYENNTPpOpOHy9cwRJhwOQdspt3C7IF1A7Yf3WQjBoT0WzrRrjC+LIT5RX6iZTIFzvGVZwhCmMrg/+MrBDCmMGz0X2mDyjiYYVVSCEIIjR44MqG39Fe6Re/uiO1RV5ejRSrKzR3qRelmWyRxhZvaCePJzBY3NEus3y9TWSUOiQu0PwumFPtOO6DyD1tONanWELcA0GAK/wY7RVK9gNMGwdCMTymKJiZXZu92CpSe8k5tMRlRVcGCXxvFKLaS5yx9k2eAydBYUFOgkstc46YQvL3SXXfOIxAg151z4Kl/lA33fH6oicKgaVoeGw6EGfb/4+729Wf83Oknjl7vOsKtFJ4qaUDjZUIeiKuTnjMJo8F9eTdX0a+jNTAgKg4+pIT4ORgwX1NVL9Fi8f3fBEb6hpLtLZffWHvZs66GnO3jfUhRBxUEr2z/txmbVMBr95ygHW3CbTCZX2oCiCPZs60EIwaTpMa4SiiazxJiJMUy/LI6oaIkDuyzs22HxMLgLTYM+qQoNTRLd3RJFBVpvWgpkpMGsaRr5ORqNTRJbtsuB72cE5x1nzpzh4YcfPt/NAHQSed99953vZpwX/Nd//ZfLqXM+8dxzz1FdXc0NN9zg+m7ZsmWsW7eOf/7znz73aW9v57nnnuPqq692lUK+4oorOHbsGFdffbVruz179jBixAhuvPFGrr/+eq6//nqWLFkyKEaDgCu+M2fOMHPmTI/v5s+fz/bt26mpqSErK4v/+q//4pprrhlwQyK4+DCUBFpRFBobG8nOziY6OpqJEydSU1NDY2Nj/46nil6hqcALu3CWqaeaBSYzJCbrHgghBPX19YwYMcJjcaLn6AZfhYUrOBQu+k4o4RL2YRlGDAZoqj+74AvWBfrjfT5eZafxpEJRaRQZw3VPiO51DUUgLbQFbzD4IgChhnEbjBKyj0bExScwPCubioqK81Y3vS+Jrqk9gc1mo7io1Gtbp7iSLGsUjdKYWaaRGA/llTLbd8uc6Tw3bT57qwSoDjSLFXq6oLMD0XkG4aN2su/jDJz1By5xJ2hpdJAx3OS6z5Onx6Bpgr3besIiwbJsoKFW4kwb1NfA7s8Fp5p9K1YHgqFXYdp5D3NycjCbzRw/ftxjO18E2qEJumwqWm+pqFBPrWgiaBiPr/BrTfW8PjVIeHNfBW7ncTtaIDYR1p48Q3mbwnMHujjeYUfV9PDtxIREkpNSgi6wVELPu5Vl3/NpYb5AkuBodYBJSQ2dQKuq4Gi5lS3ru2k7pXC6RWHLJ10cPWLzGZUhhKCpXq9CcOKonY42tZfI+ld8D0SunTAYdKPMgV0Wujo1JpbFEhfv7UVPSjYw47I4CkujaG5QqDrsRpjtnt5nVdXvU2KCICOt7/mgqEAwY6qGokLdyaGP1oqgf7BYLNx+++0uAdjzCVVVuf/++9m+ffv5bso5x8qVK3n22WfPdzMAeOuttxg9erRHuHZxcTFJSUm8/vrrPve59tprvdZclZWVNDQ0MHfuXNd3zzzzDH/605+YPn06Dz300KD2u4BviOho7xIFI0eOxGw2M2fOHJYtW0ZUlKcE4vbt25k2bdqgNTCCLy6GkgQ0NTWhqqqr/vi4ceMoLy9n27ZtXHPNNWF54dwVoIUITLBC9VKpiqCtFdKzdIIsSWdztrOzvctXybKEHCBHNxQBsIHCi0D7yIEOBINBIi3TSHODwpiJeninqgmMfvKgFcW7ZmwwtDTqtagzRxjJLz4bthModNsduvdED5vvL1Q/BMCX6qyPBgQ0TIwqLmHLxk+oqakhPz+/320cCNzDuSsry4mPTyAra4TXdkZn7KqiD56ERJg5TaOmTqKiSmLbLpmRIwSFowSmIYwQ6ztmVPe/NVUPAw2hPM9geM0DTXmnWxQUBTJGnL0ZcQkGxpfFsGerhYN7LEwoiwlp7rJZNU4e10hNh+w8iWPlgiP7BcnDoGC0REKiGUUJXobqbJi2TkJMJhO5ubnU1NR4hXG7Q+kV0VOBLptKTBgKToHUt53wpwKtKWDo5XWKomAKEKvr6/1j7QZrt0Rirsq6agtl6Saqz6j8dn83383p5kznGSaMmYTB6C0e5g5JBlUSIaf9QG8udJ8mRUVB3khBdY1M7hmVpEQfOypqSOdpbXJQvt+KpUcwPNtIybhohICKg1aOHbHRUOdgzIRohvVqVPR0aZQfsHCqWSU+UWbiJTFYLYL9Oy0c3meldILZy/mth3eHphNx9IiNlkaF0eOjXOf0BUmSGFVsxmrROF5lJz7RwPARBn3cuqHmpITNLjF+jOr3HR0fDxlpgvomicJRngrnX1Ts3dFFx+kLqxRoUqqRSZf4z00NhPfee88lOLx8+XJmzZpFbm4uL774IhMnTmTfvn0oisIvfvEL4uPjOXz4MG+//TYHDhzghz/8Id/97ncxm81s2rQJSZL429/+RkVFBa2traxatQqDwcDixYu59dZbmT9/PhaLhaeffpqOjg6qqqro7u7mscceY8aMGWzYsIHdu3fT1tbG8uXLGTNmDDfddFPQa6iqquL111/nzTff5OWXX+ahhx5i586d5Ofn8+STTzJ79mxAJ+grVqygoaGBuro6amtreeihh7jyyitpamrinXfeYfXq1axYsYIHH3yQ/fv38/7771NYWMjmzZt5//33SUpKYsuWLcyePZv777/fNQ+89NJLHD58mNbWVsrLy7nnnnu4+eabaWtr429/+xvvvvsu3/3ud9mzZw+vvfYa8fHxrFixgpkzZ3Ls2DHeeecdAJ566inS09NZvnw5FouFJ554gvT0dFRVZf369TzyyCNMnTrVde2VlZX84Q9/IC0tjf/7v/+jpaWFsrIy5s6dy09+8hMA3nnnHTZu3EhnZyf79u1j6dKl/OAHP3C1ffHixRgMBt59911sNhsVFRVcccUVXvc5OzubPXv2hNy31qxZw5e//GWPOWrOnDlkZ2ezYcMGXnzxRV555RVeeOEFFi1aFPJx/SHgssbfC2TkyJHcfffdPn/7/PPPIwQ6AmBoCfTJkyeRZZnhw4cDOvmbOnUqmzZt4vjx437LWgkh9IWX2wBzV4AOphwdqoenpcmOpkFahk6eJUlyhUX6ItCgeyY1P0JOQ+19lmXZp9KuLIeX25g5wkRTvULbKZXUNCOiTx60Ux1ZVUL3WDnR1amyf5eFhCSZcZPPEg3n/Q0Vht4SXf3tnv4IgLPuaaA+YjAEbmtmVjZxcXGUl5efMwKtKArd3d1e33d2dtHS0syUyZd4tVmS5LMGA00FCUy93v0RwwXDUgXHjkvUnpRobpEoLhQMzxCD4v3vCyHOGr6cquIeUBWEpiIFMXAIMTAhsWAe7KYGBaMRhqV5vnbTM00Uj9WoPGQjPtFOQUnwujzHKmxoGuQXyUTHwsRp0HhSouaoxp7PNfKLNLLzjKgisPfSGUXgLOMlyzL5+flUVVXR0NDAyF5Bu7550O5jwKEJVIdGTIh5933rofuCpvoenJomkATIvePMneR7buetvyGEoK1Jv84tnV1IEtw4Oo4Om8rPd3byyYFjpBiN5GSPxGgIbPFx2hptKkSHaBwyGHptTX0uPy9HUNcgqDwmUzZJ8zFGBCgKds3g0/CnqXp/aG5QiI2XKZsVQ2r62UZNvCSWU80K5fut7Pq8h8wRRmLjZU5U2ZFkGD0+ipH5Z0uqdXWqVFfYSUg0kJlt9ChF6S4yGQiNJx1UV9gZkWsiZ1Rw45UkSZROiKa7S+PQHgsxJgNJ0Wev1W6H4zUSacMEKcmBj5WdJWhqkWlqkRgx/BzmkkQQEpYsWcLKlSsBPYQYYPz48dx0003cdtttKIrC6NGjKSws5L777iMmJsa1rtu7dy+PP/44mzdvRpIkPvjgA5566il27NihG+xVlTfeeINHH32U3NxcAO644w5+/OMfM3HiRABuuOEGbrzxRnbs2MHChQt58803sVgsrraEgpiYGCorKzl+/Dhr167l2Wefpbq6mrvvvptbbrmFrVu3kpaWxsMPP8xll13G97//fQAefPBBli1bxqZNm0hISODEiRPs2rWL119/neXLl/OXv/yFpKQk1qxZw6uvvsrKlSsxGAy89957fOc736GoqIjrrruOFStWYDQaefLJJwH47W9/y/33309OTg5z585l9uzZPPbYY6xevZqf/exn/OhHP+KrX/0qy5cv56OPPqKgoICvf/3rrF+/ngceeMB1r5566inWrFnD3r17AWhsbOSee+5h69atgJ6r/K1vfYtnnnnGdZ6lS5eyYMECHnzwQUAnsdu2beNXv/oVAG+//TZ33nkn6enp3HzzzQAe6b7t7e1omuZTLCwuLo6jR4+G/FzWrFnjIvFO3H777a7/v/POO9x///3ceeed7Ny50ytXOlwEnPobGxv5yU9+4pGgDdDQ0MBjjz3m8Z0Qgra2NhobG/l//+//DahREVwcGGoBsczMTA8iXFhYyIEDB9ixYwe5ubleC6vW1lY+++wzzpw5w9KlS4mKivKqdRxMOTpU0tVw0o7R5Azf1hd71dXVJCcn+xWIkmXdO+orrHmo9cP8lakJ1ws9LMOIbIDmegepaU41bpBl0Vsmpv994vBeKwaDxOTpsR7h2v0pX2IySdj6KSimBiBKkiwj/KkWSxJyEIV0SZYpLilhz+7ddHR0kJQ0dLKyzj65bds2enp6fG4jywYKCoq8vje6KycpCgb5bOSGwaCT6dFFgqxMQXmlzMFyme4ejaJRQzMnaEKvzqVp+O6udgdEB3dHDURILNDcoGmClgaF9OEmn30gr9BM1xmNo+U24hNkMrL8e/m6u1ROnnCQnWciIUlGVVVMUWaKSo2MzNd0j2OFnYY6iVElEsnDfB9HN4LIHm2XJImcnBxMJhPHjx93EWghBJqmueYJxY0ECyGwOjQkIDoIiQ6lfJXeHv/qhZoCstML7XAgIeuChRoucT5NeHvshAZnTkkYYjS2tFi4cqSRlCiZBIPGjXmCEzsasaSMxBRlDFi2y+CWBmJTBdEh6ipIUq9Bss+lGY1QkCc4UiVz6jSk9XleigLHDtmorfEtigZ6hFLRmCjyCn3XFh+WYWTW/DiOH7VT3Wt8yez1UkdHez6zwtFRdJ3R+1FsXDQxbuvaUEovnulQObjHQlKKgTETokM2bsqyxKRLYti6sZt9uxWmT9U99ADVNRKqCsWjgr+AU5IhNlbPLb8YCHR/Pb1fJCxbtoxLL70U0OeghIQEVxpJfn4+BQUFHD9+nG9/+9sAXHnllQC88cYbZGRkuPrY0qVLeeONN2htbSU3N5ft27ezefNmVq1axapVqwCd/JaUlFBTU0NKSkq/2pudnU1paSnvvvsu//7v/44kSWRlZfHII49wzz33sGrVKr72ta/x8ssvYzAY2LJlC6CnxU6ePJljx45xxRVXMG7cOEA3KpSUlDB16lRUVeWhhx7id7/7nWseWrx4Mc888wxz5szBZrPx9NNPc9VVV7F8+XIAOjs7KSsro6amBoPB4NLYueaaaxg9ejSgp9/+8Y9/DHhd8+bN81hzJCYmeqTzbNu2jbq6Opfjat68eWRmZtLa2ura5uc//zmjR492tc1ms1FWVuaRXvnKK6+4/u/kl77mCVmWQ454qaqqora2lnnz5vnd5pprriEpKYlvfOMbfPDBBx451/1BUNtpVVWVz+/dJcIjiKAvhlKBu6enh7a2Ni655BKP72VZZtq0aaxdu5YjR44wduxYQB/AO3fupLy8HLPZjN1up7a2lsLCQq/6w7oHS/j1+IZySZoqaG6wk5ahi4TJsl4SrrW1NWipLdkAkup5HkliwOV1gsFfvl84Stz6cSTSMow0NSiMnqB7rMIp1eUPdrtG+2mVgtFRRMd4Lvj6c2+k3prZ/ak/HYhAy7LsM/cS9IV3KCgqLmbvnj0cOXKE6dOnh92+UNDR0cGWLVuor69n2LBhlJWV+Yw4SkhIIC4u2qumske4uqZiNLv/hm6DEpCYANOmaByukDheIxMfpzE8Y/DnBaEBMl7tdEGxA8FrLguNfjPoQB7otlYVh0OQkeVnnEkSYyZF092lcmCXhWmXyiQk+m5I1WEbsgwFJXr5H7Nbznp0tMzEslhO5SqU77NyaI/GsAzIL5aIivYcJ8Y+8tHOec9kMpGTk8OJEyeYPXu2q1+4e3s9xMN6OY3FoWKQQEb4zJmWJNCk4IPASdb9/q4JVIdu7HAIB8R45uSqCtjtuqvXvfSfpRusXRLHzD3EmyQuH2HU61yrKsk99dShsV3LJqtFY2GfICFJPkuA3YeJKgQOTWAKcQ4y+CDQoHtNa0/qXujUVA25N5qiuVVXmLbZNbJzTaSk+b5/yakGYmIDGy9kg0RBSRRZI03YbRpJKf774vipMWzb1M3+XVYmzzBijtIwGo1BdR5sVo2923owmSQmTYsJajDsC3OUzKRJMju2aew9KFM2WcNmg7p6iewsQSjFCSQJRmYJKo7qOgyJCWE1IYLzgAceeID6+nqef/55jEZdAb7vHBAd7T1/O9dyzuiYnJwcJElyRW/t2LGD+Pj4sLzL4cJ97nEaAaqrq9m5cyeapvHII494pbr2hfu1HTlyhJaWFld6ovMc119/PQD79u2js7OT73//+xQVeRu3/cFsNmPrkxbRF5deeikzZ85k9erVtLW1UVlZ6bGOdyrznzhxwnXukSNHuiI+29raOHr0KP/93//NwoULQ2pXSkoKZrPZZxRcd3c3WVlZIR3n7bff5oorrgh6ry+77DLy8vJobm4O6biBEDQH+tJLLyUxMTGoFVHTNE6dOuWytETwr42hDN92LwXVF9nZ2WRlZbFnzx6Kioqoqalh27Zt2Gw2xo4dy5QpU3jrrbc4fvw4+XkFPo/vXIx7fx/awr/9tL6IG5bhDFvW2LFjB8nJyRQXFwfc11eO7vkK34b+eb4zskw0Nyi0n1ZJGWYclNzS0y36qnNYuu8w8/7AaJT6VYM6UDaavwWmXuYqtJtpjo4lLy+PyspKpk6dOqglJhRFYd++fezbtw+DwcDMmTMpLS0NuDAWPkSinNsLRcFg8AzNliS93ziHiyRBabGgp0dw6IhEbIwY9EWts/a63yGqqiGVAwq1drkvBMrnb2pwYDAQMBfUYJCYND2WrRu62buth+mXxmGO8nwu7acVmhsUCkdHERXt/5kNS+/1OFbZqK6003ZKkDMKsnLOzieGPhYdVXUSRNlVzqqhocE1zzpJsaoJVA+15LPH6HZomDS735uhhTAGQlFPdzdWqKri5RnVNM01X8sGvQ+eadWf7faeHhYXRhFjlHA4HKiqSvXx46SmplI4LIlVR22MiDczK0U3sukpIv7bYlPDINAGcCh4RUnIMhSO0th/yEBDo0RKsuBIpcypNon4eMHEcSpJ2XFB0xBCQUysHJRsG416pM+2jd0c2qMyvgxiYgJ7gjRVsG+HBbtdMG1OXMD+6Q9CU0mIcjCuVLDvkIHDFbrAnSTpXvpQkTVcUFWte6HHjv7ie6EvdvzhD3/g448/5oUXXiApKYkVK1aEtN+yZctYu3Ytb775Jl//+tc5cOAAt912m0dobmtrK52dnSQkeL50bDZbULIVLhITEz3+BZ1Ml5Z6inAGOrejV3igtraWkpISn9s4j9uXQA/0mg4dOsQ999zDk08+yTe+8Q3a2tp47733XL/PmzePkpISXnjhBRYsWEBPTw92u50bb7zRq219YbfbvaKZnZgwYYJPNfD6+vqAHmV3rFmzhh/+8IchbZuSkkJ6enpI2wZCwBluwYIF3HHHHXzzm99k6dKlAT/f+ta3uPfee0O2OkRwccOXB2KwcPLkSaKjo33mL0iSxLRp07Barbzxxhts3LiRhIQErr32WmbOnElUVBR5eXnU1Z3EavWtzuvPkxTqa/hUs8BkkkhM0T0XFRUVnDlzhksuuSQkpWbZIHmQwqEWEAsUrtif0lnpmUZkGZobBk/45FSL0hsS74tA99/A0LdsUzAEUxD2JyQmh8GBNQFjxozBZrP1SzHSHwFpaGjgzTffZM+ePYwaNYolS5YwduzYoH2yr0q8s+a13ljVZx3cvoeUZZg4TsNsgr0HZGyhCWOHDM2Z+xxokIagxt1fY48IoEKtaYLmBoW04UYMQTxy0dEyk6fHYrPqZMR9LhJCUHHQhjlKIq8weF6pbJAoGB3NtEujSEqGE1WCfdsEnR3C8xk629kbli3LMiNHjsRoNHqE7zmNon01ANzLV6mqyhmrgx6Hhl0V9E1ltgZRznY/jz/0dHdx+lTL2XP2OWZfBW9VUamvraW9WaFDchAdA3My9U6rahrNLS1093RTkDeKZaNjGBFn4I8Hu2i2OFylkgLBroYWlu6Ev+k2Iw0SEwSVxyQ+3y7TfgZKCjWmT9V0cTHH0L1TfSE2TmbitBgs3YKqQxKIwEa2w/uttJ9WGTc5xuc8HRKsVkCQkQ4FeRqNTTLNLTJ5OYJweIHJCMMz9NJ6IXS5CM4xdOV/fYzu3r2bn/3sZ9x+++2u8OFQHTDz5s3j0Ucf5e233+a3v/0tdrudJ554wvV7SUkJmqbx4osveuxXU1PD3//+d6+2DBQnTpwAdO7kJL/PP/+8xzbt7e38+c9/9nuMwsJCjEYjzz//vIf3t6enhw8//JCCggKfv9tsNn7/+9+H3Wb3a7/77rsZNWqUq/pS3/sSExPDypUrsVqtPP744/z1r3/llVdecT23lJQU0tLSePnllz3qyAsh+M1vfuM3KvW6666jvLzcI5Xs2LFjnD59mqVLlwa9hqqqKk6cOMHll18edNszZ85QW1s7KFw14MqpPyplztyECP61MVQeaH+loNyRlpZGcXExqqoye/Zsrr76aldOCOg5NZqmcvJknZ+2+87fDkUx2m4TnGqG4dl6LpqmKuzevZvhw4eTk5MT2kXiWZJpKISX3BHIw9mfmsJGk8SwDCNN9cFVgEOBEILTLQqpaUYvsjzQ2ti6qmzo1xgofNt5vL71oMPxPoNOBocPH05SUhLl5eUh7+eCzepFooUQfPLJJ4CeTzVv3jxiY2NDPqR7DW134mVE8dk/fZEEsxkmjddwKLDvoNxvETef0HWWAiOEerq6IFn4fTbQtbSfVnHYBZkB8prdkZRiYOykaNpOqRw5YHV939Ko0NGmUlgaFVY984REM2MmGyidqJOJQ7sFlh7Za2wLoZNhWZYxGo2uMG7nXO4U7fIM3/a8V6qiIIRer9niUOmyK5yxqXTbNayKhqoEfwb+8p9VVaWyfD/rP3yHLRvX0nmmo3d7zeN903f/40cr2L5lPZUn3uF49zGuLU7AyNntq09UYzabGZGVRXyUkX+fFI8swS+2NNLjq+C7D9jC4La+akKDPs+XFGqoKqSnCWZP08gdKc5GAamDbHUKAalpRkaPj+Z0i8aW9d2cavY9yGqrHdTXOBhVYmZ4dmj9vC+EqnoYuUblCYZnaERHC/JGhj8mR44QaJpEfVOkpNWFhtTUVE6c0Eskbty4EdAr+DgcDt5//33a2tpoaGigpUU3lGma5iFm58RLL73Ep59+yrXXXuuqELR+/XoXeZs/fz5jxozhySef5Mknn2Tr1q28+uqr/Md//AfXXnutqy2tra2cPn2aPXv2+DxPINTU1Lj+/9xzz7F48WLmzp1LSUkJixYtYuXKlTz00EN8/vnnrFmzhrvuuouvfe1rrusCPM4ZHx/P7bffzrp167jppptYs2YNb731Fvfddx+zZs0iPj6eW265hfXr13PXXXfx6aefsnbtWpYtW+biX87jub/LnJ5t5zmda+KKigqampqora3l5MmTVFRU0NbWRk1NDZs2bXJdY3t7O8ePH+e2227jW9/6FpMmTSIjI4Pt27d7eI/vvfdeysvLueGGG1i3bh2ffPIJt99+OzNmzHC9c2666SZuueUW1z433XQT6enpvPbaa67v/vznP1NWVsaCBQsAKC8vZ8aMGbzxxhtez2DNmjUsXLjQa02zZs0abrvtNrZt2wbo75Dly5fz8MMPu/K4B4KAy0+ngEg4CDVePYKLG0OV/3z69Gm/paDcMWfOHG688UZKS0u9FoppaRnExMRQU3vC7/6+yHIo11RzTPdEFY6OAeDgof1YrVamTZsWFhl1EhZZDo/EOpWgQ4XJZArogdaPGfLhXMjIMmKzCjraBu416enSsFoEw9K9if5ghLcbjFLIXv5gBBpA7sPqw/E+Q6/SsCRRWlpKS0sLp06dCu8AisPL23rq1CmsVitTp07t9xxtMDjDWc9en8FPgrwzX7QvEuJhXKlGxxmJwxXSoIT3OxH0WJrqX+DNfbN+EPtA+zTVO5ANkBYgfLsvsnLM5BeZqfv/7J13nCRVuf6/p6o6Tc4zO5tmc2IzYZe4LLBkQREFEa6rIogigtcAgmJCvej1dxVEghEJLotEyTmzbM5smtkwM7uTc4cK5/dHTfd0T+eemWXRfj6f+cB2pVNVp6rOc97nfd46nf11ASxLsnOrn9w8heqx6REUIQQul5OScsHso+2+vm29gR7D8d+0Bt4hNTU1+Hw+Dh06NLDcNCOegcHvSdOMYd4lJYZl4TesKLIbC7GWNx9q5I2Xn+bDrRuoqBqNqmps37Ju4LhhA9BwB29dD7Bj+yZyc0tRFAcF3e/j+/BtevvsfDuv10vjwYOMHzcOh2abh5V7VK6ZnUdjj849m3tTii77U3AWDyJeTWiAokI49USL2TNjRFx1HZnAXG2kMHaCk/mLcpDA2vf62Li6D59v4Bq3Nhvs2OKjvEpj0rQhSGL93oh/CgFHzbAnEjLJYinItyP69Q3D+57JYuhYvnw5fr+fM844g6lTp7J06VLuvfdezjjjDDRN44orrmDDhg3cc889PP7447z99tscPHiQu+++mwMHBgIfFRUVbN26lZ/+9Kd885vf5Oqrr+azn/0s5557Lrquo6oq999/P6eddhp33XUXy5cv56233uI3v/lNyMz1kksuobS0lGXLlrFjx460U6b+9Kc/ccstt3D11VeTm5vLPffcE1p2xx138KlPfYoVK1Zw+eWXs3LlSn7+859TWVnJBx98ECKMd955Z8j5GuCWW27hq1/9KuvWreP666/nqaee4oc//GHIqfrWW29l+fLlvPHGG1x++eXcfffdfOc732HGjBl0dHRw3333ATaB3LFjBxs3bgxJse+44w4CgQAnnngiRx99NF/72te4++67GT16NDfddBPNzc2ccMIJ/PWvf+Xmm2+moKCAa6+9NiQPd7vd3Hnnnfz3f/8311xzDcuXL2fRokUhknrNNddwww03sGPHDpYvX87//M//cMUVV3DyySeHzq+9vT1iXJOfn88TTzzBe++9x+23385PfvITuru7efjhh0PjU6/XS0tLCx0dHVH34Mknn+S8886L+r2goIDt27dz0UUXcc011/DTn/6Uz3/+8xHkfSgQciStko9QxNLaHw6UlZVFuNX9u0JKGdMQYDiwadMmPvjgAy655JK0ImjhCPgtVq16j917dnLRpy6J6fKnqqA5Ikc5gYCVMArd1yNZ/75k1FiYf2wpjY31PPnUPxk7dmxoFi0d2FJE0jJicbtt11O/359woGoPql0pfSz0gMRMY4AIdg736891M26ik6mzkps3JcK+PX4+3OznxNPy8ORG3hOHUySVxaYCKSUBf3Kzsy6fEZH/CVBUVExHR3vo34aho/fPgAsh0NKUiQMUuVUCgQAPP/wwkydPTmo+F4Q0DejtBlVD5A7kfG3YsIE1a9Zw6aWX4vF40m5PEJYlETj7J14kWl9H3HUNI35UeHedoHavwtRJdpTtsMHlRrgTn7+mRUrWwxHvHe73xXZIllLyxgs9FJWozD0mvfeVlJL173tpbTYYNcZBw36decd6KK/KLMLn9fZhWRbdnZLNayXFJSrzF+VETEIJAS63gtfrxefz8eCDDzJ16lQWL14M2OkeXhyhyUTdL0P/b5omAb8v+sCDoDkcOOLU5bYsC79vgEj5vH1s3bSGhgN7ycnN56h5x1BRWc3O7Zv5cOt6Fp+8jNIy24XX7bGvr9/nDb37tm9ex64dWyivPAu/VUhOyXaad28BSzJt6lQMw2DHrp0sO+10iguLIt6H77Uq3LO+hbPHu7l4cvJ751YFOY7UZhsTPRsJ4XQhPJl994YK05TU7QpQt9OPUGy37rIKjVVv9eJyKxx7Ui5aGsqIcEij/701zKhvFGzbobBwrknZKCfOwtjmCyM9Ngs3hIqH+vr6uDmiWURDSsm3v/1trrzyypDTtJSSzs5O7rjjDj7xiU+ESleNBP7nf/6HX/3qV8NiRvVxwSuvvMKGDRu4/vrrQ7/5fL4QQb/11ls/usaNEAKBQNyA3fC502SRRT9Guv5zcXFxxuQ5aIY0btx4duzcTkNjPePH1UStZ5owuGJHOHmWUrJ58waKi0sZM8aWZu/dLVE1GDPBHkRs2rQey7JYuHBhRm0VQiDSSCULSi/BzlUJBAIh2c7g9dxud0r52JC+EzfYZaJKy20Z95SZroyk4EG0Npvk5CpR5BmGr7yXnedLzKhcEFLKlC5D+HVVMuM6SAkul4uJEyeye/fumPdRVVUWLFgQWRYtuJ5pIC0rJCevr6+npKRkSOQZ7Ii/Q1ORMn70eaB98UnCxPGSnl7Jjt2CvFxJSWbVRNKHrkMSAp2ukZiU8SdeOtpMAn5JZXX6HUEIwVELbTfkhv06RSUqZZWZf7IdDid+v4/CYo0Zc1S2rvexY4uf6bMHJrjCZdwOh4MxY8ZQV1fHcccdh6IoBHQT2f+Osc87LP85RUZomibxKpOEy68bDuxl49r3sCyTqTPmMGnqrFA0YuLk6dTt+ZBtm9ZywpIzATjU7efZ2i4C/c+A0L0U7t6GkT+aXFlOu8fL0vlz8E4cx6b1q9m6fRsAlRUV5OXkRilxzppUyI7mbp7d62NMnsriqsTRVZ8pASslEh2vJnRSBAJIlzsqTeRwQFUFk6bZLt7bN3nZscXPzq3+kOFYpuQZiIo+DxeqKiQ799hmYmVZceS/FZ588knWrFnDr371q9BvQgiKioqYOHFixhLd8847j8bGxoTrPPXUUxnt++MMv9/P1VdfHSWhdrvdTJ8+nc2bN39ELfvokCXQWQw7RopAG4bBoUOHohwN00HQ8Ka8vBKXy82+fXUxCTRElrMa7MC9d28tGzetB2DM6LFMnXws7S25jJtk59S2tbWya/dOZsyYEeHIOJIIj54EI8yqquL3+0MDXYfDgdPpTIvQZsp9K6o1WtYbdHVaFGZoKmOZkrYWg9ExZKvDXd5LVQWWStxouylJyWUqKHEWikDJ8OKZSBQERx11FC0tLTGjI11dXeTk5ERO0Bhh0m3dDy4Puq7T1NQUqjk5VDhdqu2MqycmTPb9iZ0OIYQt5V61RmH7ToVFx1gjXuscsGXchoFIoLwIeiCk+owkUtUeajBQFDImvg6HYN6xHj7c5GPKzNRr6saCpmnouu24P3qcXXd6354A+QUKo8cPRL5sN267D0+cOJG9e/dSX1/P2LFj0S0LaZkoihpx3nZ+dGoEWloWVv8+BiP47Qj4fWxc+x55+QXMP+ZEcvMiI4eqpjFt5lw2rn2PxoZ9VI8ezyt1naxq6KWkv9732LZtSCkpdi3AEjBvil3uKsft5rijj+XgoUPs3L2TaVOmoapqzGv7uak5NPaa/GVbL1U5KhMKEt9HnymRWOQmIdGDnepTh4SAP+kk0EgiJ1dh/nE5NDUa7N3pZfIsDzkxJjdThTT0DMPxyaGqMKrSJtB+vyQb3/33QSAQYPv27dx3331ccMEFFBYWcujQIV544QWKioqoqKjIaL9PP/10SuuF3lUJ3KX/nRDMQ7/99tv5/ve/z4QJE+jp6WHdunW8//77fOtb3/qom3jYkSXQWQw7RopAHzp0CNM0k+Y/x4M9yLP/X1EUxo4dR13dHgzDiCllDi9nFT7OMU2TDRvWUlxUTE3NJDZtXk99w+OUFsyhonoWoPHue2+haRrz5s3LqK2ZINY5aP15fX6/H03TMiqJlGqwQ3OIiLrKFVUOtgkfTQ16xgS6o93EMqEkRv7oSJirqVr8WsKD3YfjIehwLLTMpcnBQxUXF4cMRwbj2Wefpa6ujgULFiCEsPN7w589XQeXh4MHD2JZVsbPTTiEEAghUFWQ3uSDXlWBeD5MmgqTJ1ps3KLS0CgYU5359ZJSEpDgSoWFGzrJkiotM/W63fEmXKSUNDXqlFZoQ4rO5eapLFicQgHcFOBwOEOTglNmuujtNtm20UdunkJRqX3CpilxOO2Hfty4cXg8HrZv387YsWNtV23TQggl4jlJlTyH1jdMFGd8Ar3zw80YhsHchYujyHMQY8dPpHbXNrZvXk9F1Rg2NHs5qszN8pkFdHW288bL9VSUzSRXLWbMNIuS/vMLPiNVlZVUVVYC8Y0UNUXw1dl5/PSDLn63sZsfHFNIkSvxC9HfH4lORqIVJbN8+1AUeqTdJRNACEFFBVTkmpAzxBSMFGT/Q8GYasn+eoX6A5LpmXGqLI5AXHzxxbS1tfGnP/2JW2+9lYKCAhYvXszXv/515s+fP6LHfuWVV0JE+7bbbuOiiy5i9uzZI3rMjxoej4eVK1dy2223cc4552CaJtOnT+fSSy/le9/7XsqKxn8nZAl0FsOOkSLQ9fX1KIqSsTRncLPGjath164dNDbWM3bs+Kj1TVOG3G7DA487d26np7eHpacuY9SoavJza1i9ehUtnet4/oU9TJo4hbq6PSxcuBC3e2j5v6lCVdWENYiH0g57oJbMfdrOHTWNATmrwykoKVM51KAzeUZmMu7WZtvlOTT4DcNI1MdWFIFQZMyoaSoGYqH9qBpCZB5VMS0gyZzDhAkTeOedd+jo6KC4uDgy+gx2tNWyqK+vR1XVjGfkwxHRx1Iw5Er2TS0vhaICyZ46QVWljFkSKxX4TInflGgOBTVZv9ADSSN44c9+Itg1smMv62w38fsyk2+PFMKJoqIIZi/MYdWbvWz4wMuxJ+eG6gNLGawVrTJlyhQ2btxIT08PpuZBCAthEvFSTFW+HVrfNHAMigcGy0/19nZTt3sH42omkV9QFHcfQihMP2oBH7zzKhu2f0iHv4zzSu19btu8DlV14hazKRsjKSxjwDLVimyrEqOkVzgKnArXzsnjtjVd3LGxm+8uKMCRxHfB3x+JzktAojMeb0oLAgHSqus0EgiWqTECxNXkJ4HURy76HERuDhQXSfbvh2nz5LCqlrL4aHHVVVdx1VVXHfbjLl269D+yZO+CBQtYuXLlR92MIwZpvcK3bt3K1q1bI0qr7NixgxtuuIHly5fzhz/8IaL2Vxb/mRhJAl1ZWZlRFBWiI0WVFVW4XK64btxSDki3g/8NBPxs2ryRqqpqRo2qtmu8HshhwpglnHLKaViWxbr1q8nNzRs2yWwqyPSapIpk5aKCRmeDSUdFtQNvn6S9NTP32NYmg8JiNaap00hNeMYzJUuHQKtadOOEIK5UdDBSsXYcN24cwECt3lgDUd1PQ0MDVVVVw9JHgkRDmmZKdd2S1dEVAqZMsgjogn37M5S7WzLkgtyXitmdZdmy0cSrpOS6n2gO4WC9jhiCfPtwwOG0JeKWJdmwqg/TCL7vBu51MGVm+/btWFJiGkZoPYgsI+Xz9vHmq8/y4jOPRv299Ow/2Vu7096/lFiDLl4w//nDLetRFMHUGdEGQIYODbsFezYKejuhorKa0vJKGnZvxikNZpY6aWlqpPlQA4Weoygqc1Ixrr++tRAx+2wqz8XYfI0vz8xjT5fJil19SdcHuz50jx7/GVEU0km1H7TzkY3aJoO0rAG/Bd3IvOrGCEefgxhTbeHzQdPBbFHoLLLIYniQ1hD0Rz/6EW+88UYop7Ojo4Nf/vKXNDY2smjRopBrZxb/ubAsa0RKWPX19dHe3p65fNuKjioqisKYMeM4cGA/ZpyRcJAzBf+7ZesmAgE/8+fZeacHD9hjgPGTBWNGj+Xccy5gwfxjOOfsc0ac1AYhhBjxYyXL5Q3WNg2WOgqiqtqBJ0ewaY0Xnze9iZWA36K706I0TvmfodaAjodYVb2klFHu24n3ofRLnVUcTicutxtPTi4utzule5XKsXJycqiqqqKurs4e0MaQ0fZ0dtLR0TEs8m0Ii0CnETVKViKssAAqyiR79wv8Gcy/esNIs2lJfGYK/SxOTWhpWUi/395XCnM+VhzC7u2zqN+rU1XtSKvO+EeB3HyV2Qs9dHdZbFnvDaW6BCd68vLyGDt2LDt27MAyTUxDRkyShsu3d2zbSFdHGxWV1VRUjY74c3ty2LRuFc2HGvq3G0SgTYuOthYaDuxl4pSZIVdtsCeU2g/BrrWC9oOg+6Bus0L9ToUpU+cjjADz2I9bFWzZuA5NzaWsdDqjp8hIr4RBk7sCkpbxC2JhhZOTql282eCnNwExDkfAlHT4LXp1C78Z/Q7JOBhqWciPMlgRCBBSJUnLntlIE1IPxHxnjQTKS6FqlMCRQUWELLLIIotYSGsIunDhQq6++uqQJf+f//xnenp6+PznP89VV13FN7/5zbhEJIv/DIxk9BnImAjEa9a4seMxDJ3Gg7FLmwUHyNKC3t4etm/fyoSaSZSUlGLokgN1ksISKCqx19c0jRkzZjF23NiM2pkJUo1qDgWpRqBt0jjQFs0hmHdcDqYpWR8W4UoFbS32uyRW/We7HvHInHMwxzcc8fJ440HTFDw5Objc7qha22oKOuVUg901NTW0t7fT0dIcc3lDv5vosBPoNAa+agpfmckTLCwJe+rSu6cBS0blpvuM6N+iMIhAS9NEevuguwt8fchAIC45Dm2TQL69e7tNwidN/4hltimirNLBlJkuDjUY1O4MErOBGzd9+nR8Ph/1B/ZhmTLCLTso3+7u6mRf3W7GT5zK3IWLmbtgUcTfohNPI7+gkLWr3qKnuysqb9o0DbZuXovT5WLSlJmh3329ULdJ0LBLwemBSfMkUxZKysZIulrgUG05fa7R5HfsYdeH2+juaqO0YB41s5RQHntIrTJofKJpWlrvkdPGuAhY8HZj6uTVkrZCole36PRbdPgtenQL3ZRDU9F8lFHoQXXm401IJcRhij6Dff/nzlUoKTty1SBZZJHFxwtpvb6nTJkS+v/169fz3nvvUV1dzdlnnx36fahlUrL4eGOkCHRDQwNut5uSkpKMto9n9FNZOQqnw8n+fXUxl1tWsKwNbNy4DoA5c22Divq9EkO3o8+DB2EjkZ8bD4cj0p1ojDk4wjjYfCkvX2X2Ag/dnRZbNnhTVii0NhloDigoilG+aoSv72AZt5Fmv06UZ6coatL22+Qs+XUaP97O3d+7N3YaQsOhJnI8HoqKipLuKxUMRKBTJxDJZNwAOTkwepSkoVHQm5pCFikl3jgTMr2GTNzPpIXUdaRhIPt6oafLdjcORtX8Xkwz8T7izRV3dZo0HtAZN9EZyin+OGD8JCejxjjYvd1PU6MeyoMGewImJzeP2h07ADtaDHYUOXiNtm9Zh6ZpTJke20xH0xwcs3gJQgg+ePc1AgF/hIz7YMN+2lqamDp9DprDgWnAwVrB7vUCvxeqJ1tMmC1x59rvnMrxkknzJF7VZGr+sWBJPty6FqdWzIz5NTjDbB9CE4Bhz7Eg/XfnuHyNSQUqr9X7MlZaWVISMCXduoWVdh2rMJimnUN8mCF1Pdp6XtfTuh4yEEhN4pFFFllkcYQira97fX09nZ2d7Nmzh7vuugshBF/+8pdDgyrTNFm3bt2INDSLjweGm0CbpsnGjRupq6tj9OjRGUUdg7WfY0FVVcaMGZtYxm1Ce3sbe2p3M23aTPJy8/D7JI37oawK8vIj2zRS0uJYCK/9PLLHib9ssGmTECIqF7q8ysHkGS4O1RvU7UpOvqSUtDYblJbHjhCN9DVWVBFB+gKp5Nb2IxWTGjUFi+dUBte5ublUVFRQt39/9PZS0tDURHVlxbBE6xXFlqVLQ0/bPjiVSNvE8RJFhV17Uru5fis+wZVS9tflTQBvH/R2R0fTwD4/vy/hGD/epNzOrT4cDkHNlI9H9DkIIQQz5ropKFLYvNZLT2fY9RWC8ROn0NpyiO6ujlAEOhh9bm05xKHGA0yeNguXK75hYU5uHguPO5m+3m7WrnoLo//aG4bOts3ryM3LZ9yEKVgm1G0RtDYIiith8gJJceWAj4DL7UEIgdMjed5sZ3euoChvGgCTpywgr2igvwslbIIzrN+mG30OYskYNwf7LLa3D11+3GtIrKGkPGUQhZZSIrs7kX09SL8fma6Jl+6Ptdf0otCHMfqcRRZZZDESSGsYumjRIq655hpuvPFGurq6+K//+i9mzZqFYRisW7eOH/7wh+zbt2+k2prFxwDDSaAbGxt54oknWL16NaNHj+aYY47JrE1JBtJjx9UQ0AMcOtQYc7lpStatX4PT6WTWLDu6sm+PTcrHTYxhbnUYy4ukmr83VCQaaMbKcY2lUq6Z7KRqtMaubX6aDyYebPX2WPh9kpIY8m0YOQOxcASj0LqZ3iA3lbapKUx6pCzjHjuGto5Ounp6In5va+/AH9CprihHDkOuYSj6nEHuZSrXxOmEmrGS5lZBR2fidU0p8SVJB/CbEj3RRUxmgub3YwZiX7dYngpgqybamk0mTHUe8bnPsaCqgrnH5qBqgg2rfSF+ZliSMWMnIYTC3tqd/QoJC9O0DaS2bVqL253DhEnTkx6jtLySo+YeQ/OhBjZvXA1A3e4d9HR3Mn3WfIRQaNgl8PXA2OkW1ZMlWr/JsxACh9OFoii4XG4aek1a/CajqwXHLZnP0ceczcQZoyKOF9H3pE38M4k+B3FshZNcTfBqfSwimR4kkr4kSoeEMIwMCHD/BJiug8+eRJKdHcjebjsvOVF7LTM+UU5RlSL9gcTF07PIIossPgZI6wty9NFH8//+3/9jz549jB07NpQL3dzcTE9PD2eeeSZnnnnmiDQ0iyMfwUHVUOH1elm1ahW7d+8mLy+P008/PeQ4nEmbkinFRlVVo2kO9u3fS3X1mKjljQcbaGysZ8H8Y3A5XfT2SJoboXocuD2HPzoaDkeG5UMygVCiOYdQYpNroQgUVUaMk4QQzJznobenl01rvBx7kkJeQewJgNYme1AYK/8ZDo9EXlVtryw9FVOqMKQyf6IoCooiImXalgHKwPmmGvQeXz2KVWug7kADc6ZPDf1ef6gJgOqKCpv0eoamVAjd5ySD7NjbprbeuDGSAw2SnXsUjp5nxd0uaXS5H32GpMCRab68xPJ6kW4tSlUQ650ipWTHVh+eHMHYGmf0Ch8TuN0K847NYfXbvWxZZzFvkUIgIHG53YwaPY4De/cwfdZ8lP5+0Fi/j472VuYuWJzSxBDA+IlT6erqYPeOreQXFrN90zqKS8qoqh5LSz10tggqxlsUlEZu53A6Q/dSKAqb2w0U4KgyFw6HQtXY0qhjhd7H0grZ22cafQZwqIITq128tN9Hh99KWhc6GSwkfSbkZlorPOBPWtc8AjENv6T9sjMMpAeEM07/TTR51u/Gnei6Sikh4E29rVlkkUUWRyjSHlGVl5dTXl4e8duoUaMYNWpUnC2y+E9BquRZSsmePXvQY8xk+3w+Nm/ejGEYzJ07l7lz5w5JopxKk4Iy7v3791FaWha1fMeO7eTm5jF1qh1d2btLomkwpib2QOFwBaAT1X4eCSgCBvOGRDV3NU1ESZ9VVTDv2Bzef6OX9av6OObEXFzu6HNobTbJyVNi5pAerlMWikBRkkQxY24HB7sDSGBUfnwipaoalhX2DPj1CJKbQpUopGWR53JRVlzM3vr6CALdcKiJkqJCPG5XRi650e1V7fzHVBo2CKGSPUkuparCxBrJth0Ku2sFscqX5+Vb4Eztnkgp8VsCd6ZCDV3H8AdweCLl2LHk240HdHq6LGYv9IRM9T6uKCxWmTnXzeZ1Praut3Dm2iZvJUVTaThQx84ttVRWTsGyTLZuXEdOThE5rgm0HbTff4Vlyd3XZ805mp7uTtZ/8DYAC447kZ52QdNeQUGZpGyQ752qaRGpD1JK1h3yMqXETb5Ls53oByGWfHso0ecglox28fw+H282+Dl/wtB8X4QA3ZD4hMSdSb/RdaRlIVJ4MUqZgtTa24uUIFwx3l0JJ8/69x2PfIMd8R4hn5Qsssgii8OJISdPBgIBnnvuOdra2jjuuOOYMWPGcLQri48hUiXQtbW1vP7663GXjxo1iuOPP57CwsKhtynFSNWEmknU1e1h1ap3o5YJITjxhFNQVZWONklHq20cFqs2sb3+kJqcMg5XmawghCKiwqKJBslKPwEd3C3cHoW5x3hY804f77zaw+QZbsaMd4QGupYpaW81GD0u9kDscBq0WYK05NtC2JMGv3yrgYAhuXnJ6LgkWtW0gUkkaYGlAwOD8ZTKZpkGIKkZU83qTVvo7u0lPzcXXddpam1l1tTJof1Lw0AMoc8IIYbk/JsCfwagukpS3yip2x+bECiqYPY8i1TFF4YlYQiE1uzxorkHIp+xPBVMU7J7u5+CIoXK6n8Pp99RY510dxns3W1g3z2BlJU41CL2792J2T2VLu8ufL4eKotO4+CegfO2TIvS6sT7VxSFhceezDtvvEBhcQk5ngpqNwrcuTB6sox4jwohcDgin6OGHp1DvTqn1RTgcrrwB/xRJDqCU/YvczgcGUefg6jMUZlVovF6vZ9za9xDSttRFHti0mdYqELBkfb7rZ+4ulLIuTd0UnoKfb1IIkm0DASSk18jEJdAS78/o/SPLLLIIosjEWl96b/+9a9TWFjI0qVLOe2005BS8stf/pLNmzfjdrt5+eWXufbaazn22GNHqr1ZHMFIlUBv376dvLw8zj333KiBjBACt9s9LKZH0opfZmYwqqtH8+mLLsGMIddVVRWXy4WUkr27JC43jIpWeocw0iWlgsc47ARaRP87GZlVNYEViB6wFZVoLDoll+2bfGzf6KNhX4AZczwUFKl0tJlYJpSWx2bnh1Mib6QZbRUKvLCrk06ficeh8Nt3D3LzktHkOqPPxZZxK/ZzY5m2vNQyQ7MSKQW++wl4zejRrN60hb31DRw1dQoHm1uwpKS6sjJs3UB6Us/B5yZEZuVqQtsT18xv8HpHz7diBrs6eiWbNqk01quMq0ktjzLdEmSDIU0Ty9uHmpMLxE7f3F8bwOeVzJrvOSzP/0hDUewSdDPnuaka30t718BJe+qmsG3LB5RNaKB+3UZKSquYe1wVQtgXum6zoKdDUFod/2bbRoMabk8OZ57/GUwDtr3vR1Ek42bIqIk5h9MVdV3XHuxFAPMqcxGKEpNER7wrTDNUm304sGS0mzs39bChRWd+eeaSfWHPTYCEXl2S70is7IkJ3Z8GgU4Rg0l0TPOwwe0wYkbDZTDfOossssgiAV544QV++9vf8vTTT6e0/htvvMEjjzzC9OnT2bRpE6eddhoXX3zxCLfSRlqjKVVVufHGG8nLywPgueeeY/PmzcybN4///u//xu/3c++992YJ9H8oUiHQHR0dHDx4kAULFpKTkzOig810lWKJ3GMBWg7Zpr1TZoq4Es3DRe4OR+3nwRg8pkslEqyqAkPEdkHPzVdZsDiHg/UGO7b4eP+NXsbWOGz5oIDiODU7D6NqHd2yI56pKhm6dZNndrazYFQuyyYXcvtbDdz9wSGuWzwq5qBY1TSs8JIuhgHOIIG2zcviRbeklKEBcX5eLqVFRdQdqOeoqVOob2pCVVUqS8PKvhmpSz0HQ1EUhGlkJN8OQihAipsrIpoP6JbElWtRViFoPqRQUWXGlHhHQ2JaMn1SEgarz4/Sf7DB8u1AwKJ2h5+ySu1jX2dWVe1Jr+CzLYSK4hC4c0Wohvu4iRPYsX0d69e8gWHozJwzH6d74NrmFkFHk/3+HdzVhBBoDgeqGpaDLGHPpgC6H6YsdOD0GBEkWNO0mKR33cFeJpe4KXDZy0S/sZiuBzANI1K+DWBZOIaQ+zwY88ocFLtsM7GhEGiw+7s9YSbxmpCXbl81zdQUJnqahmO+XiTSnnhLyaxM2scIj1xbpu14n0UWYfB6vUdM2dsjqS2HE7qufyTBmFjYv38/r732Gr/4xS9obm5OaZtXX32VL3/5y7z99ttUVVXR09PD8ccfj6ZpfPKTnxzhFqfpwr148eIQeW5vb+fhhx/G6XRy1VVX4XA4yMvLCxmLZfGfh1QI9Pbt21EUhYkTJxPwp1brNlPEKzOTCSxLsm+3JDfPLl0VDyPtwG27z7pwpRJtGGYMNlJKluMYxOCSVhH7FIJRYxwcvzSPsROc7K/TObBXp6hERYuxnRCHJ8IPtnmYJaOjYYnwrx3t6KbkolklTC3zcPm8cjY3eXlkS2vM9YPEYEtzgGf361iDIrwJH49++XYQNWOqaW5rp6evj4ZDTVSVl0USD2llXD5GUZQhyy+HoryXUtLXT+Cqx5gIAfX7kt8Ynxdqd6ts3q6waZtI6W/LdkFPb+R+TFOC14tlRk8G7fkwgGHAlBkfr7JVg+FyCRxOJWJiTAiBJUV/WTf7d4fDyeixNRiGTvXYGoqKI427ispUpCUwfE5cLnfEn9uTg6ZFSqgP7DLobrMYP9NBQbEDl8sdGtAJRUFzRJPTg706DT06C6pyI34XQuB0unC6XFGTnApyWAeKqiI4udrNlladJu/QXKXDJ14NKw3XfylR3nkesXdHUnM/aWTmX4CvD7y90b/rOurLj0H7oMGuMRCpllJCb2/IwE155wWU1a9n86D/w9HV1cVNN930UTcDsEnk9ddf/1E34yPBT3/6UxoaGj7qZgAwduxYLr/8ck455ZSU1rcsi5tuuokzzjiDqip7UJ6Xl8fFF1/MzTffjN8/9CoJyZAWgQ7WyZVScvfdd+Pz+bjwwgspKRmIchwpNyOLwwvLspKW4tB1nV27dlFTU4PLac/26QGJoQ+hjEccyAS1nzPBwQM29xg/RSQkcCMVgQ4SZ4/HMyw5fJki/PxSDWSmoph0OATTZ7s57uRcyio1xk6Il/+c2jGHA/7+CRhlcCQrDg71Gbxe18UpNQWhvOeTawo4bWIhL+zq5K29XVHbtPtM7t3QwV1b+vjXfoO9XXpEimLCgXQgkmyPH21PXm7duYvO7h5GV1ZEb6P7kcls6WPAlm8PjUAPpct6w0r9OJ1QOcqivU2lpzv+Tg0Ddn7ooL1VobtbpPzX1CJYt0nBH3a6UoLlD6AP0oMfatDZXxtgTI0jrqP8xwGqKmLWL7ekxOy/cUpYzvnEKTMpKatg+qx5Ees7nS6Kyp0goLsdFFWN+BsM05A07TcoHaVS1p87HixV5XS5cIa5bgchhGB9s03o5lfmxDkfDU+Oe2ACSVpo6vC/PE6udiEEvD7EklaDn41AqkqNt59De/ZhtBV/gL7exN/RIaRfxLKdVza8g/rak2j3/z97pioII0xB4O0N5Twoq15Fe/YhtCf+gnbvzxANdZm3J4uPLbxeL1/60peora39qJuCaZrccMMNfPDBBx91Uw477r//fu66666PuhlRSDXFZuPGjezevZuFCxdG/L5w4UKam5sT+iwNF9KajjVNk9tuu42Ojg727t3LzJkzufDCC0PLn3vuOd5///3hbmMWHwOkEn2ura0lEAgwbdq0iN9N085V1hzDZxA1nOTZ0CUHaiVFJVBUkrh9w81rFUXB6XQeERIbGHDiVuKUr4oFIWKbicVCQZHK/ONiD4ohOgo+UpBSoocpGBS1P+CbAE982IamCD4xvTji90tml9LQHeBv65upynMyudSNYUle2NXBk9vbATh3rMZzBwzWtZpMqDRA2Pc7nojClm9HEtrC/HyKCwvYumsPQGwCDfZgNzcv8ckMgjIo2p0JMn02dEtGublXVZs0Nykc2KcybaYRtW8pYc9OjYAfps00yC+AQmdqBKq7Bz5Yp7Bxi8LCuVZo0sayZERd6K5Ok83rvBQWq0yblZKW/IhFvNdLwJQh8y5DN5CKfR3y8gs4/uRlEes6na5QGau8QoWuVhOmJHZ662wxkRaUjY4eNIU7bodDUWFNQy+TS1wUueOXuVNVBVVVMXQdw+8bkXdosVthfpmDNxv8XDjRk4EBmI3B/ddvJnfkFjs2oL7wCNaYiSgH9qC88zzWWZ+BGBF7YFic+EOQEuWDV5H5RYjWg2gr78b43DcGZjh1HSmtEGkXe7aiPvMA1rS5WEcdi/r8P9D+8GOsY5dinvYp8MR/5/+n49VXX6WpqemjbkYEKioqOPXUUzPa9plnnmHHjh0A3HzzzSxevJhx48bxxz/+kTlz5rBx40YMw+AXv/gFeXl5bNu2jSeeeILNmzfz3//933zlK1/B6XTy5ptvIoTgwQcfZMeOHbS0tLBixQpUVeXss8/miiuuYMmSJXi9Xn7zm9/Q2dnJrl276O3t5Uc/+hHHHXccr7/+OuvWraO9vZ2bb76ZGTNmcNlllyU9h127dvHII4/w2GOP8de//pUbb7yRNWvWUFNTwy9/+UuOP/54wOZMd9xxB42NjRw4cID9+/dz4403ctZZZ3Ho0CGeeuopVq5cyR133MF3vvMdNm3axHPPPcekSZN4++23ee655ygsLOTdd9/l+OOP54YbbgiNu/7yl7+wbds2Wlpa2L59O1/96lf5/Oc/T3t7Ow8++CBPP/00X/nKV1i/fj3/+Mc/yMvL44477mDRokXs2bOHp556CoBf//rXlJeXc/PNN+P1erntttsoLy/HNE1ee+01fvjDH7JgwYLQue/cuZM//OEPlJWV8fe//53m5mYWLlzIiSeeyPe//30AnnrqKd544w26u7vZuHEjF198Md/85jdDbT/77LNRVTXlPOdY2LRpEwCjR0eWaxg7diwA69atY9myZVHbDSfS+qJcdtllPPHEE+zcuZOFCxdy4YUXoqoq+/bt44knnqCjo4NZs2aNVFuzOIKRCoHetm0bRUVFlJdXRpERKe1otOawoyFDb8+QdxHCgb0Sw7Cdt5NhOOmdoih4PEeWKZHdFpl2mR5FFcMi1083Am1YEjUD2bc+SEaZjEDvafex9mAvF84opnDQoF5VBF89ppKfvn6AO94/yOfmlPHk9jYaunXmj8rlklnF5Pa1Utdjsb7V5JO6jnDZ+4g7ERTHTbdm9GjWdW4jx+OmMD8/9ramjtQDiHgD7RhQks0epABbfp/e5JYVJt0Oh6pC9WiTfXUanR2CouLIdfbvVenqVKiZaJCXb6tREuWThyM/D2ZNt9i0VWXbTsHMqbYjtGGC7I/6+30WG1b14XAI5h7z8S5bpajxJ6b8hhWSRauKih8/lj/6fjhdrgjCW1Cq0LDbQA9IHM7416b9kInDCXlFqT/YzX06+zsDXDK7NK4/QXjaheZwoEkLfEPvw7GwZIybNc3drG4KsLgqMxm/ELa6J6iwllJiWBItHiFvbkRbcTeyaizG8u+g/eMu1Df/hbXoNCiPLikqDWNYP4qivhalYS/GeZcDEu3pv6O+/E/MMz5tr+D3DZxMWxPaw7+H0iqMT18Fbg/WtHmoL/8TZdUrKFs+wDzrEqw5iw5fCYssPjJcdNFF3H///YAtIQY46qijuOyyy/jiF7+IYRhMmzaNSZMmcf311+PxeHjzzTepq6tjw4YN/PjHP+btt99GCMHzzz/Pr3/9a1avXo0QAtM0efTRR7n11lsZN24cAF/+8pf57ne/y5w5cwC49NJL+dznPsfq1atZunQpjz32GF6vN9SWVODxeNi5cyd1dXW88MIL3HXXXdTW1nL11Vdz+eWX8/7771NWVsZNN93EySefzHXXXQfAd77zHZYvX86bb75Jfn4+e/fuZe3atTzyyCPcfPPN/O1vf6OwsJAnn3yShx9+mPvvvx9VVXnmmWf4whe+wOTJk7ngggu444470DSNX/7ylwD87ne/44YbbmDs2LGceOKJHH/88fzoRz9i5cqV/OAHP+Db3/42F154ITfffDMvvfQSEydO5FOf+hSvvfYa3/rWt0LX6te//jVPPvkkGzZsAODgwYN89atfDQVGe3p6+OxnP8tvf/vb0HEuvvhiTj31VL7zne8A8OSTT7Jq1Spuv/12AJ544gmuvPJKysvL+fznPw9AUVFRZp0nDG1tbQChtOIgcnPttJ5U86iHgrRNxD71qU9F/T5u3DiuvfbaYWtUFh8/JCPQzc3NtLa2smjRooQDaEOXaUU347cn9kHamiV7dsi0UsF03R6T5OanQKCHMUIaS774USMo4U5XDamqwxMASUehIKWky28ipT0QDf9LZigVGETabNdgQkZKg4/zzw/bKHSpLJtcFHN/eS6VaxeN4mevH+APHxyiLEfjusVVzK3KBT2A36cwv1RlS7vOvg6d8ZV2ikPcSYc4csyaMdWs27qN0ZUVifuOz4vUUk8FUDKQfcdCugQ6XLo9GGUVFocOSg7s0ygs0kNj75YmhaaDKhVVJmUVAw+6ISEBl4tAZTn0jLOo3aeQn2sxbowECdLUsSzJxtVeAgHJMSfErmP+UUNRUudLsbwGwJ58MsL6n6ppuBUFKX3sbfOxcmc3n56Sz4TSvKhocUGpSsNug+42k5Kq2MMM05R0tliUVqduiNijWzy6zR44LazORdXAsqI7VUQqjSWHVH4tGWYUa1R6FF7e72NRZebvbCEip8QC8Qi0txfHA/8HmsOO+jpdmMs+jXbnD1BffhzzM1dFGwUme/n6vaivPoGor8P4/HXgSmyopKx6Fel0Yc1dDC435sH9qG/8C1k5xibCwQ+s34v2wG8B0C/7Brj79+vJwTzv81gLTkR96n60lfdgrXnDJuQVGfromCbKqpdRVr+BddxpWEefcnhzfkYImUZ6P05Yvnw5J510EmB/a/Pz86mrqwOgpqaGiRMnUldXx3/9138BcNZZZwHw6KOPUlEx8K27+OKLefTRR2lpaWHcuHF88MEHvP3226xYsYIVK1YANvmdOnUq+/bto7i4mEwwevRopk+fztNPP803vvEN28tl1Ch++MMf8tWvfpUVK1bwyU9+kr/+9a+oqsq779rlUbu6upg3bx579uxh2bJloYDjRRddxNSpU1mwYAGmaXLjjTdy5513huTMZ599Nr/97W854YQT8Pv9/OY3v+Gcc87h5ptvBqC7u5uFCxeyb98+VFWltNT2pTj//PNDis8lS5Zw9913JzyvU045JaJ8bEFBQeg+AKxatYoDBw6Eco5POeUUKisraWlpCa3z85//nGnTpoXa5vf7WbhwIQcPHgyt89BDD6V/0QfB2V8uL1aKT/jykURGmqaenh46OjoYM8au5fPOO+8watQoJkyYMKyNy+LjAcMwQvnx8bB9+3Y0TWPy5MlJyatlQhz1XkqQMnb+s2lK9nxom0IVlkQvjwdFgzHjUyHPaTQyCVRVPWJk2+FQRDBakt4gMR0Zd/x9pLe+YREiX4PJgEMR5DrVmERaSkkgBnFVVDDN6MH6mvpOdrX7uWJeGW4tficYXeDkm4tHsafdz6kTCnAF17VMVFVldrGKInTWtwQYXwGI2BLucPftwSgqKOC4eXPiy7dDO+k3FHMndx4dDvl2EOncQ78VKaMfDEWBMeMMdu9w0NKkUF5p0d0t2Furkl9oMXZ85DvJtGRaTmYTayQ9vZIduwW5OZLSEpC6wbaNPjraTGYvtMuuDSd008KR5uyUXU7OfiYVZWCSydAlhmErKQzLdiI3TInboeLoj5iHrz8YgRgl/RRFwe1x8fjuVuq6DP64pYsbj89ncPp3boE94dTZalESx3Sxq8XCsqC4Mvk1tKTk3QM9/PPDNryGxQXTiynNseXhmkNGZDOEG54h6c/DHTnTKkUIzhzn5m8f9rF+CCWtFCWyRFrABI8qIweIpon2j7ugowVj+XehyB4oy8oxWAtORHn/JcxTzoNRYyN3Hi//WUrEltVozzwIPZ0IKVHffh5z6YXxG9rXg7Lpfaz5J+B3unEJgXnu5xHNjaiP/QlZWokcPQEsC23lPYiWRowrvgWllVG7ktU1GFd+H2XN66gvPorj9z/AOv5MzCWfAGfq0XyxbxfqU39DObgfWViK9tTfsNa+iXn+FcjRNSnvJ4uPBt/61rdoaGjg3nvvRdM0AoFAVFDGHaPkQiAQYP/+/UhpPydjx45FCEFNTQ0Aq1evJi8vL63ocroIfz6DkwC1tbWsWbMGy7L44Q9/mNT0NfzcPvzwQ5qbmyMMmYUQXHLJJYCd+9vd3c11113H5MmTU26n0+lMaqx10kknsWjRIlauXEl7ezs7d+6MmMAO9BuJ7t27N3TsMWPGhLhfe3s7u3fv5mc/+xlLly5NuW2ZoKLCHuP09kYaHAb/HST5I4m0TcTuu+8+vvKVr/C///u/od+PPfZY/vWvf/Hoo48OewOzOLIRCATw+XwJzUv8fj979uxh0qRJODRH0gjUUN2z4+2/cT8E/DB5umDSDCXlvwlTlIQyxCCGMz33cMyeZQKhiIwl9kOV5qcbTNATDJp1y45OxyIJgThRT7uGbORvpiV5cH09lbkOThpfkLRNU8s8nDWlaIA82ztBVVXyHIJphQrrWk2kaQ94LRmjLXps+XYQMydPii/fDsegmrnxIIZBvh3aV4pdQEqJV0/+HigqluTmWTQcUPF6YfcODacLJk2JzouOIR5I2tZZMyzycmHTNoXePti120fDPp0JU5xUjU6c35supJT06ekRPYdT4HIrOJwKWlj5KdOS+KVFV8Ck02fQGzDxGRaGlPjCjNASOeT741ywTU0+dnUEOHlsHj0Bi7vXHYqYnAL7WSkosfOg430b2g+ZaA7ITyLfPtAV4FfvNXL/5hZG5Tu49dQxXDBjYAZUUUTEeUS8J3x9YA5j7m8cnFTtoipH4ZFdffZETQaIfjYkgx8B9fkVKLu32MRw/BT7R0UFRcVc+klQVNR/PRC5F9OMXby89SDa336N4x+/R+YVYFz5fcxZx6C8/Rx0d8Rtp7L+bYSh07dgCb5gH9E0jEu/BnkFaA/+Dro7UF95DGX7esyzL0VOmhlaL3qHCtYxp6J/4zasOYtR33wGx2+/j9i2Nm4bQujrQX38zzju/Rmirwf9kq+hf+t2jIuvQnS2od39Y9Sn78+W0TrC8Yc//IHrrruOz3zmMyxfvjzlklLLly+nra2Nxx57DIDNmzfzxS9+McLYuKWlhe7u7qhtR8KluaCgIOK/QEyztETH1vsnu/bv35/wWOnuNxVs3bqV008/nTFjxnDllVcyc+bMiOWnnHIKU6dO5b777sOyLHp6eggEAnzuc59L2rbAEKt4DEZQkl9fXx/xe/DfRx111LAeLxbSGpI++uijvPjii0gpI5zSNE3jq1/9Km+++SbvvPPOsDcyiyMPUkp8Pl9KD8WuXbswTZPp06enJN+UMoF0NQXEGivoAUl9naSkDAqKR0YWPVzybYfDkbIT4UeBTNUB6ZSDioV0r2+i6CXY5LTbb9IbiBzkDzasCoeiEjHSfftANw3dfj49syTzOsOW2R+ht2XcLT5JfefAhzDqUTCG60MkbYKRaA3LGjb5NqSu0jD6a+Im3Z+AseNNdF2wbZMDy4LJ0/SY4/RMiI2mwtxZFgJYt1Fhw2Y/5RUKk6YPf8mqgGlHi5P12yAczviTWUHCrKjR+zIsC920ECL+pFagv4TbYJiWZOWWVipzHVxyVDn/NaeM3e1+HtrSEkWUC0pVdD/4emWoTcF9Wqako8WkqEKN+1z7DItHtrVy2zv1NPXqXDGnnO+dPJoxhdHXXtUGos6hfPSAH/SRL2UCts/BxZNzONhn8WZDZscUgigTjfB3kbLmDdR3X8BcfAbWwpMHVtI02xSwqAzr+GWoG9+D2u0DywdHn/UA6suP4fjdLYj9ezDOvQzjqh8gx07CPOMiMAzUV5+I3UgpUVe9hjl2Et7yMUgZ5hWRW2BLyr29OO69DfX1pzEXnox13Gn9J6BCTl58x7q8AsxPfQn9SzciXW4cD/4O7e//D1FfC82NUX/K6tdx/N+NKOvexjzxbPRv3IacdTQIgTVnEfp1t2EddxrKqldx/N+NiDVvDXu1jywygxAiFGFet24dP/jBD/jSl74Ukg+n4qkDNqG79dZbeeKJJ/jd735HIBDgtttuCy2fOnUqlmXxxz/+MWK7ffv28c9//jOqLUPF3r17AVt2P3XqVADuvffeiHU6Ojr485//HHcfkyZNQtM07r333oj+2tfXx4svvsjEiRNjLvf7/fz+979Pu83h53711VczYcIEFi1aFLUMbPn7/fffj8/n48c//jEPPPAADz30UOi+FRcXU1ZWxl//+tcIbiCl5P/+7/+G9fmbMmUKM2fOZO3ayIm2NWvWUFFRkXI5rKEgraHw66+/zuc+9znOOussfvvb30YsU1WV+fPn8/TTT4cc6LL494RlWfh8vpReOlJKtm/fTnl5OaWlpRgpRJXAzjVVUk1YjGpf9DH210pMC8alYASWKYYjXdk27Dkyo89BZJ7jJ1BUGXOCIxWkw0+DstVU4DMsDEuS51RRhB2djgc7Ci1DhmLP7elkWlku86oydJGVhGZ8NE1jdomJ2K2zrsnPmFLbHMNCovaPrKVlDa+brqEjDR2hxYmmGsawOeND6vcwHa6bly8pKrHoaBNMnmaQKHiR0JgpDjwemD3LYt1Ghfw8hVlHKSPiTWD0kyVbxp14tikRefbqVqgPCyV27r5Pt8hxxz9GvOjz2/u6aejW+dqxlTgdgqNH5VHfHeDZ3Z2MyXdyak1Y/lypPVvS1mKwuqGHF/Z0UpXn5NJZpZTqDiwztnxbSsmag708sq2NLr/JiWPzuXBqMfkeLaEJnOboT7EAu4ZZksmh4ca8MgdTCjUer/WyqMqFO0F0Px4Gy7gNS2L5+nC8+gTKey9hTZqJeeZnIzdSNYSiIHPzME8+H+WD11Cf+BvmdT+zP0ph7wuxYyPa039HtDdjzlmEedZnIb9oYF+llVjHnoqy6hXMRWdE5SOL2m2I1oP0nvCl0G9mWGaEHDUO46IrcTx8J9b4KZjnXT7gkJaTixACqTnt+xMHsmYqxjW3orz3Euorj+P4cEPcda3xU+xofOWY6IXuHMxzL8Oaf6It737oLqSlI07/RNz9ZXF4UFJSwurVq/H7/bzxxhsAfPDBB5x22mm8/PLLtLe309jYSHNzM+Xl5ViWhRGjz/zlL3/hrbfe4oILLkDpl5689tprnHDCCTidTpYsWcKMGTP45S9/id/vZ8mSJdTW1vLkk0+GiG1JSQktLS20tbWxb98+jjrqqLTS5/bt2xcy4brnnns4++yzOfHEEwE4/fTTuf/++3E6nVxwwQU0NTXxwAMPhPhTcAwdfm55eXl86Utf4u677+ayyy7jkksuwbIsnn32WX7961+Tl5fH5Zdfzp///GeuuuoqrrjiCvr6+vjLX/7CLbfcErG/cMIajGxbloWiKKE86R07duDxeAgEAtTX12MYBu3t7XR3d/Pmm2+GzrGgoICOjg6++MUvctVVV4Vk6R988AHz588PSc6vueYafvzjH3PppZfyta99DSEE999/P1/4whdC383LLrsMRVFCZnLhCBLvYDuD8Pv9XHjhhcyfPz80SfKd73yHa6+9lqamJioqKujt7WXFihVcf/31hyUIlRaBdrvdXHDBBUDsQbRlWVHh9Cz+vWCaZlLJdjgaGxvp7OwM5YakGlm2LLuWc7pRx1j5z94+yaF6qKyGnNwRJNDDsI8j0ThsOKHGcc1NBenkmKcaxQvC6Jd0O1SRtG+rmsA0ocOr0+Y1OG9GVeYuzGGjZVVVKXAqTClUWN9icJ5lIRQFwwJH8NyHkzwH4etDunNjL9MDKI7h+xCFomzJ0jjSnKmeMMnAP1qQk5t4O1NmZvxRUgTHLrCoqMjHG+hNun66kFIS6D/ngCVJNB3jdIq4/c2wJN5BtapVTYTep6H1AFMMTMyEw5Iy5iSS37B4bFsbk0pcLKge6C/nTymmoVvnke1tjMpzMr3MnsFweRRwSdbt8vKs3sn8yhzqOv386r1GPp1XSonmIL848qE+1Kvzj62tbG3xMrbAyVXzK5hYbOcHJkvhEIpAU7A/Ht7hv0fJIITgM1Ny+NnqLp7f5+OCianJUCP3EfYPKXFtW43zxX8gejqxjj4Fc9lniMoj6f+3UBRkaTnmaZ9Ee+p+rK1rsGbMt8sHdLaiPfMwytbVyLIq9C98e0BWPQjmkvNR1r2F9uJKjMu+EbFMWfUqlicP38yjB9aXEkdYP5Kzjka/+gfIsqqBaLMnBxFst0ODZJ5uqoZ1wllYs49DqdtBrBeGzMlDTpqVdOZaVo/HuPL7aFveQzt+ZPMys0gNy5cv5+233+aMM87gxhtvZOnSpdx77728/PLL3HzzzVxxxRU89NBD3HPPPcyaNYu3336bgwcPcvfdd3PuueeG/JcqKirYunUrmzZtoq2tLTQ2nTt3Ls888wwOh4P777+fm266ibvuuou//vWvLF26lN/85jcht+ZLLrmExx9/nGXLlvGd73yHefPmpXUuf/rTnzBNk+bmZioqKiIi4HfccQc33XQTK1asYOXKlSxevJif//znVFZW8sEHH/CPf/wDgDvvvJMrrriCuXPnAnDLLbegKAorVqzg/fffZ8mSJfzkJz8JOU7feuutgO1w/eKLL7JgwQJuueUWZsyYQUdHB/fddx9gO2IvXLgQn8/HM888E2rT1VdfzYknnsjRRx/N1772NS6//HJuvvlmbrrpJn7xi19wwgkncOmll3LzzTdz+eWXc+2113LPPffgcrlwu93ceeedNDQ00NfXh2mauN1uVq5cybHHHss111xDT08PDzzwAMuXL2fmzJl897vf5eSTB1Qz7e3tUdfx0KFDPPfcc7z88ssA/OxnP+Pcc88NldAKXuNww7JzzjkH0zS5+eabmT17Nlu3buWGG27giiuuSOseZgoh04ip/+xnPwvV+br99tv59re/HVrm9Xq5/vrr0XU9Si5xpKGhoeEjOW5ZWVnEzf+4IV3yDPDKK6/Q2NjIZz/7WVRVJRCjBEo8qJqI6xAbD5Yl0QORx/hwk0V7KyxYLHC6Ro6chrvxlpSUhGz2U4WiKOTk/HvXw5RS4velT6CFIC23456Aid8YHllWLJimZO2BHu5a28SPzpjK2LwMw+qBAPgGBvu6rvPKAR//2KPz/eMKGVVolzHLdyqoikD29YwMiY4DgSA3J30ikAiBQHJPp27dyjiXNBEcqiA3gdFbMhQVFdHR2YUoKEy+choImBa9gYE+lOdUY5qJJSLPQdf5WMoLKSV62LtX1QQupxJVcg1sRUZ4W4J4ans7j21r48aTq5lSavcJPSCRlp1X/T/vNtDhN7lxcTWKAiu2tZHTrDJdyaFwnmB6uQefYfHMzg6q9rvYL/yMnu7g+DF5GJbk+T2dPL+7A00VXDClmJPHFUSkRThTef4l0NsVO48nTRQVFdPRET3QS4bfb+pmU6vOLxYXUehKr6/Z5RxBbT1I/nMP4qzdilE1DvmJK5BjJ0VvIJSovigDfhw//wbS4cT4xm0orz9lS7KlxDzlfKwTzrTD9QmgvP402kuP2nLqGluKKrvacf762/Qdezq9p18cWldTBHmOBOfpzkEMMlGSPd2J6wKOAFSPE2dhbG+IkR6bhRtCxUN9ff0Rrz47kiCl5Nvf/jZXXnllyGlaSklnZyd33HEHn/jEJ0J5siOB//mf/+FXv/rVEVejeyTxyiuvsGHDBq6//vrQbz6fj40bN/LMM8+EiP2/EwKBQFSt6SDSmoyfPXs2K1eu5NOf/nRElKyuro67776b9vb2iFmGLP59IKXE7/enRZ77+vrYu3cvs2bNQtO0tPOaTUOiqulJhgcPzLs7Ja1NMGYCI0qeh8OBO5lT478DQhLoNMe36V5fY4hGdMmgqoK9XQEEMKksl4CvK7MdDRroa5rG3BKVFXt01h30M6rQg5SSXt0izwHiMJJnSK9sWKpI5XEeCfIMtjP7kCEtpGkORNSGAYMVEwFTMjjwn4g8A3j7UxFiYXAZNkW1o9V+w4o0tIOYE09dfoNndrazYFRuiDyDHRU2LXBrCl9dWMkv3mngN6sa6ek3Q7uwugT1oKBatYmBW1NYWlbIrgMB+jwmf9/cydv7u+kOmLR4DY4Zlcunp5dEEfuUFR6+vmEhz/HgVgWmTJzmcdGkHNY1d/JErZcrpsdWdvToFrs6DOaUOSJk6cIyyX39aXLeeRapOeg+83N4Fy4hz6XFHqzFmGQRThfG+Zfj+MuvcNz2dTt6PW0exrmXQXFZSudpLT4D+f7LqM//A+MrN9t5xR+8gbBMfAsix3gJnymnM4o8A/16+8NLoLP498KTTz7JmjVr+NWvfhX6TQhBUVEREydOzNiF+bzzzqOxsTHhOk899VRG+/44w+/3c/XVV0eZRbvdbqZPn87mzZs/opZ9dEiLQJ933nn8/ve/58orr0RKyS233EJ7e3uoYHVVVRWXXXbZiDQ0i48Wfr8/baOF3bt3I6UcmB3MYPBqWdGKtcTrDwxspJTs3SVxOGH0uJGVRQ+VZxzpxmHDCUUVaTutJ8p9HAzTkmlLgDPBvi4/1fkOPE4l8zKzg2YShBAUezQmFSisa/ZzzrT+1SyJz6czvLHg5FDStT5PAclu5UjeOyntvqEONU3CMNN7MSXBYEKmWzJUmkVVBZqW2ERPNyXeJA7eQSm3ogxMSnoHEWjTiu0d8NT2dnRTctGsyPp/ijrAg8pzHHxlfgW/W32IWWUePjOzhCKHxvpDPrpaLQpK7OvV3mSianDF4lJmHHTz6PY2chwq3zy2iumlsXt4St1QYodvRxCu/muYiEBX5qgsGe3i1Xo/Z4x1Myp3oJ9YUvJOY4AVu/ro0SUXTvDwiTCpt/uFlbjfeRHfrOPoOeMzWHl2dDluTeh4jo7zT8B481mUloMYn/sGcsb89E7U6bKl4I//GbFlNb6p88lZ8zr+ibMwSwaXo4rzTKkauOMoqhwO8HvTa1MWWYQhEAiwfft27rvvPi644AIKCws5dOgQL7zwAkVFRaEyR+ni6aefTmm94Hg4EAj8RygHgnnot99+O9///veZMGECPT09rFu3jvfff59vfetbH3UTDzvSItCKovD1r3+dNWvW8Oabb7J//35UVWXWrFnMmzePZcuWxazVlsXHG4FAIKaBQzLU1dVRWloa5qyY/sDYjkKnNtiVUkaQ9PYW6OqAidNEwnItw4Gh5i07HMNbEudIhqoK9DTrCqeV/zxC0ctwSCmp6/AztyJ3aFFaGR0t01SVeaUqK2t1DvYEqMqzP85+bwCHmr4JVhBCCFRFwbSslJUkI5GPn5xAD/shI2BIyChlPXwbywCGZ9CkxyibJqVEKuB2iaT3wFYopBZ1HazcNQdFof0xyrod6gnwWm0Xp9QUMCo/8pyFEP057Xb7p5V6+M3p40N1pgFyC+1yVkxxYFmSjiaTonIVVVVYNDqfhVV5qEriSbKUnn8zcXm3ocKpCtT+UnaKIWK6lAdx/gQPbzf6Wbm7j2vn2LLhAz0G92/vY2enweRCjQKn4PFaL6PzVBZWOHGufRv3Oy/iPXYp3csiy8LErAkN8Qm0EHRd+UOEESBXZqZaseafiPXOC2gvrsQyJGp3O91nXhpzXXPwM6WoIdOwmM1TVaSijqhaIIt/b1x88cW0tbXxpz/9iVtvvZWCggIWL17M17/+debPT3PCKE288sorIaJ92223cdFFFzF79uwRPeZHDY/Hw8qVK7nttttCucfTp0/n0ksv5Xvf+96ITLYf6cioIM3ChQtZuHDhcLcliyMQpmlmVL+tp6eH5ubmiH6SSaWAYEmrVEhK+HhGWnb02ZMTZSQ6IhiKhDtYwug/CWqaUeh0OGO6BmKZoLXPoCdgUVPiyrx8mSVjPhSqqrKgn0CvP+jlrMlOW75hGfRJyHdkRmwVoeDul1NaloVpWfZ/zfiEWv0IItCJiMlwwLRkWh3KLvdk/7ndNoEyh1F+qpvRpl+KCpZI7T73pZEvHmt/Xt3CqdpEPZb79qNb2tAUwSemF8fc52DnaMeg2YmCUoWG3QZ6QNLXZWEake7bg9eParOSfBIBiC7XNMzwhLXTpQq8CQqLFzgVzh7v4bE9Xja1BtjaZvDifh85mmD5jFxOGOXEtOCXa7u4b2sPVZ1dzHzyfvSJM/Ce9VmIei1IdCmIKkwRRwUhpcRQFHC4bLVEJh9fRcE882Ic9/8/8p/+C2Z+MYGpc2OuGnqmFBWcbnA6kt8zhwP8WQKdRea46qqruOqqqw77cZcuXcrSpf95hnQLFixg5cqVH3UzjhikPTp67rnneOihhyJ+27FjB08//fSw1VLL4shAMO85EwTr4dXU1ABDreuc2rbh0eemRvD22WWrhprHmcrYbShH+E8jz5C++jVVkirjOAgPN2o77OdiYskQ8tZjRJ+DKMt1MjFfYf2h/ucvWIJCknDgngjhZFhRFByahsvpJMfjJjfHE/NvJNIKFIWED8yIR6BT/EwJYY/xXS7bTFgIOyfc4QCXZg65rnkQuiVB2CoZh0uEahoHrOjI9GAETAvfEBO7TSnxmzJm7efdbT5WN/Ry9tSimIZjkLy+e2GpvUJXq0l7k33dCkpSf+elfJ1H0B/AoYgIQzNXCm1aNs5NkWbxm/U9PL/Px4mjXNy2uJCTql0oQuBQBV+fk49Hgd/utGgvqabvs1chtNg7j6pPr6iION8Ow5KsaehhTWMvpiNVVaCIqtEsp8zBqJmO4vfinX9S3JthKA474pxfgHClWEkiiZFZFllkkcWRjLRG7i+88AJ//vOfeeaZZyIkvVOnTmXChAn89Kc/zShamcWRiVRrPcdCbW0txcXFIfn2UIJKpklKktMgSZdS0rBPklcAJal5piSE5hBJSXTGUUj+Mwm0oia/pqF107g8RgqkYzhQ1+5HFTCmYAgEOoGTmqqqzC9VOdBr0dxnRJCDgJVZlH0kDMEyRaJ7P4Lm6YAd4U7UR8KJc7z5AyHAoZi43OlXCgiHiURotsFhkDgHIaWMJk3h21qSnsDwXCyfbkVFn6WUrNjcSoFLZdnkorjbJutXOQUC1QGdLVZIvp1O2beUnn/DyMhkI1VvhcE1nRUhcCY5B5eQXFn7L+a27eC2zffxle5V5A3qT0VC5zu7HqHTkcvtx3wV3Z07UOptEAxLRk5wxCHaYKsaVmxr5R9bWwmoWmqzEG4PuAaRbSHoOfMSAuOn4V1wSvQ2qgaePCxPDsKRXkqD0LT0Xu6p7vfIec1lkUUW/8ZI6+318ssvs2zZMn72s59FFRqfNWsWDoeDJ554YlgbmMVHg0AggJmuVXI/ent7aWpqYsKECaHf5BCjgslSpaSUIZVaV7sdfa4ak6L0LwkURSTMwx6qA/d/IoGG1AldOpMThyP6DFDb7mNsoSup/DQhYuSbBiGEYGG5HaFZ3xjtLNxnpD9RkEo/MyyJz5D06BYdfishgRsK4j2WMgm5HS4kCuIH5drJd2IghEBzCFwukdZ7QCjgcAqERsJ3S7zrb0lJd8ActmtlSjsCHY71jX3sbPVx4Yxi3ElKfyV6loUQFJSotB0yMfRI+XYyjLR8260KPEnOTVMEjhjn50ry7DvXv8vi3W/ynco2JhWo5Dz1AHn33IZaX2evICU5j/+VaXWr+WJpJx/2qTy4ow+I/3zo4bdbiZ+Bt7czQKffpCtgsq3ZG02MB0PTEC4XQnNEkG0pJYHyMXRc/m1kXozSbU43aKptzpfJuzdN0p0MQsDH1c/pcLz3ssgii/SQ6LlMa+ReXV3Nl770JcaNGxdzeXl5OW+88UZ6rcviiINlWUNSEgyWb9v7HFqbzBhGO+EIX3SwXqJpUJaZCWMEggPpRBP4Qw3s/acS6FTVwUda/rMlJXs7AtQUD7HsWJJZoYo8J+PzBOsORVt8S9KTcgvi59nbZMyi3WfRFbDoM2zibI2gHD7ePT0Mt6//OIkj0KntZECFJRSBy6UkjUYHibPLpaCqIukEhR5HUdETGJk62UGYluSRLa1U5Tk4aXxB0vVFkme5oFQBab9HC0vTkG+nuqqZ2ffKoYBHSxxNdsdZ5lBE/Ai2HsD98uMYo2vwn3Q2vV+4gd6Lv4LS2U7e3T/D89QDuF9+AuemVfhO/yTHLpjKOePdvFbv59UDvrh9MKK/xHmBWlKyudkm4qqADxp7EE5nAjmFAp4wt+wwQ0s9URdT1IgoeLwSagmhZWTDk3B3QqQh+z+CoKpqNg0yiyyOIFiWlTCNLa2Re7J8uNraWtrb29PZZRZHIIb6Eq+rq6OoqIiioiIgGFUaWpukBCPB1zyo3gv4JW3NtnFYOjLBeAjuQwgR96M8lCj3f6KBWBCpyrhTjexZMnYJnuHGoR4dr2ExoWhkCbSiKCwo09jXY/HWQSMqPzVgpR61SBQh9Bk2UZYxHIyHQ04te7qwfvcTrOcfQ/aXGYp33w+XpVCiik+pk7ZoIzHNIXC6ovu1EJHEGfrLrSXpr7Fk3L0BM8p4bLjx5t4uDvboXDwlF1VPXqMt2TUL5jwXlqUp306FCJlGRjO0goG85lxNxCxtlkyqHY9cu959CaWrHe+ZF9s3Xwj0OcfSdd1PCBy3FOcHr+F+/WkCs4/Ff9LZAHxqkoe5ZQ4e3NFHXXdskzozJOMWtgQ6BnRTsrXFS1Wug6Mqclh7sNdWF8SLQrs9iPALHRbCTTiBNih6nMmEjtAcQ5dwBfclBuYIPo4VIUtKSvD5fBlVPMkiiyyGF4Zh4PP5KCkpibtOWtN/BQUFbNq0KaZd+zPPPMOuXbuYNGlS+i3N4ohCIgIdrE0aD16vl0OHDjF37tywbYarXWAYMmaUJ5j/fKjBPl7l6OFJhAo/VVUVMQ3NhurAPRKlgj4uUJTkbtypSr0PR/QZoK7fQGxIEWhLppSzeXK1m01tJg/v0XmvyeCSSU7G5A50OL8JcbydIpAo+uxLlGcrZdJnPhnki0/A/lrYtwe59l248DLEtARuvocBcY8j0ohAWxbSMiPJB3Z/dbrstHXLkmiO2CkgqcrjA6bE1X+P/cbQTcOSwecL8PjWNqYUaswrFrY82pW4Arn9Hos/oePyKIyb7iC/OB2d+8jKt9WwpgghyHNCdyDSBd6TRFHgUqFvEN8Rvd2433gWfdpczAnTIhe6c/CeeymB+SegfbgB/4lnhjqcIgRXzsrlpnc7eWR3HzcclR/z/HULXM74DNEbMNnZ5uPEsfnUFLrYcKiPD1u8zK7MRar+yIkfh9OOToe3X1GRmgaGkWACTUSZgGX87Do0GAbvnPD5BFUBQwzf2ONwwOVyMW7cOFpbWwkEAliW9R89Nsgii48CUkoURcHpdFJVVZXwGUyLQF900UV8//vfZ+rUqcyZM4e8vDyampp4++232b59O0IILr744iGfQBYfLeIRaGlJLJl4dnfv3r1IKYdVvh0O05D9M82Rndrqj8YdqpcUloAnZzhynyOjy4oiECI6mp514M4ciprQSystQ5jDlf9c1+7HqQqq84eQbJdi/dMCt8Y3ZzlZ1Wzy2F6dX27wc8oolXPHOvBotlOzO4UeqMSZ5fGlIAPXLUgwXk8I2XwQ3nsdFi1BzDkG+dj9yD/9PzhqAZz5OSgqjVj/cEm4wZacDq6pnXY6hmHEvDhCiP4AXaL85tRejHp/1NG0oDdR6HyoMHTw+3h+ZzddAYtr5+TZ7z/LtB/SJGE9RY0ZlA+hYmx6ct2U70WG7tuOQY+EKgS5DugOyNDxnUlez0IIXKrAH9Zx3a//CwI+vMsuirudWT0Oszo6FS5HU7hggof7P+xjY5vO3NLod0zAkrgSSJ+3tfnQLcms8hwmF7vRRDPvN/QwuzLXjkL39fQ3XrGNw2JBc2EE9PgKF4cj6gZlHDfVnEMm0OHR5yBU1X48P04QQlBWNgzOp1lkkcWII60vWm5uLj/4wQ+45557+N3vfhexrLCwkC9+8YsjXsA8i5FHXAKNXVIqkelNXV0dBQUFFBcP1AwdSgmrIExThgitoctQSZnw/be3QMAPE6YOz6xtLKmhqokoKXnWgTtzqKpAjyEdDiItB+7DxL5q2/2MK3RFlLVJGykSaCEELpeLE6ot5pW7eKLOz+uNOutaLS6a4GR+icAwJVoSWWysKH4w+qxbEmT8eryGJZM6DseDfPZR26DojAsQ+YVw/Y/hjeeRLz2J48ObME+9AOv4ZbabLwl91QCbTLb6Yq+U5xDkDWZFCWDK6A9g2mqSDI0WTSv1dAMpJT7DdskeMaMhCfT10uk3eW6fl6MrHEwqDLs6egDUxFFoRRleCX5K98KyUn6WBkOLMTvnUAS5DoVe3cKtKfhSmMELJ9BKWxPOVa8SWHgSVkV1Ru06qdrFi/t9PFbXx1EljihpuWlJTKHGHLwZlmRrcx+qgJmlHnKdKjPKPKxu7OFL8yoQDkcouozHE7cMFk4HRm+CRjpiqG/6U2gGT0olhabZNzsDF/XwXQyGqtolsBN8XrLIIossMkbaDg4lJSV873vfo7W1ldraWnw+H6WlpUyZMiXKmTuLjx9sN+t4EejE0WSfz0djYyOzZ88ORW6llEP5LgK2bHv9e5KcPJgx1yYVekDidNrkNTimPHhA4nQNT+kqiB0BGTzeGKrC6j+dQIMduYo3Bk51csK0ZEJjqOGCaUn2dfo5uSa5sVLiHaU+6FdVFVVVKXLAf810cvIYg79t7+VPH/r5whQHiytFCgQ6up8Fo8/3bullW5vORZM9nNxfozYcGZadRtbtgk2rEcsuxOcpwEN/6Zql58L847AeexDthUcwO1oxz7+8//7FPpiUkvWtOiv29NEep3STJmDZGDdnjfGkRPgDloxyUs4oAp0B0lVLeEcy8gxgBADJE7VeDAsumpQTY3kSGbci7ID7MD2HKRFo3Z/x/uOZb7tUgSUFHk2QPPvbdunWFIFhSdwvPgaKiu/UTwyhXYJPT87hjo09vHPIz0lV0bnLOiI2gTYl21q8TCp2k+dScaiCBaPy2NTczIetPqaX9ZeqUgIJy04JIdAVDYgRGVa1SP17GMwMCLQQwib1emZRaKHEFkcIYTczwzmuLLLIIouESJvxmqZJb28vpaWllJba8rt9+/bh9/uzBPrfAIlKVwVzwyxLxoxo7du3DyllZPmqYRhLNeyVBPx2dHnvLknNFPvYui5xOO2ouK9P0tEGYyYMLSIchBCx9yOEQFUJ5e0Olf8mM+b7T0C83HJIndAcLvl2Y3eAgCmHwUAsc0I0oUDjlmMKuPm9Tl4/aHJ0uYYlZVxHYEUoUXk84dHnjS0BFAF/297HWw1+Lp+ey/j8gXd5sLZ2Ovl4Ukrkv1ZAfiHGCcvwGhZORQlF7UVxGfKKb2A+9jeU1a9hLjodq7Qq5r6avSYP7+ljS7vOmFyVT4zPjUl+NrfpPLPfx6qmAJ+dlMPsksQSe9OSBCyJM6yTpT0hZhoZ5YgHRrrYdbowDBp7Td5o8HPqaBeVOYPeS5Zl67PVxN94Rck4IByFlC5phhMYapL8ao8W/cwkgksVyH17cG7+AN+S85AFRRm1K4j5ZQ4mF2g8tdfLMeWuSLMyRcGQsdvW4tXZ3x3gwqnFaP0u4ceOyuX+Tc28V9/N9DIPQnMgk9xHS0pM1UlMAq3Ff64MS5LJm1FqDnze2NMViiJwJfgQJBp2qklShLLIIossMkVaw/9Dhw5xzTXXcN1110U4BVZVVfH3v/+ddevWDXsDszi8SGggZkX+dzBqa2vJz8+PcK0bavTZ75M07IOySqgaAw37oKnRJktS2tFpy7JLVyGgsjr5oCeVcVEip9hwz6ChmHwoSnqDtH9XJJqESFVSO1L1igejdjgMxCBxsmgKUIRgyWg3td0WB3oT12uONdkVLIG1q8MgYMFXZuVx5cxcWrwWP17VxQMf9tIXRvLS5ntb1kHdTsSyC+lV7WsVGDTJoQgwT70QNCfaiyuj8p91S/KvfV5+tLaTXV06F0/I4cZ5BSyudHFMefTf8ml5XH9UPpoCd27t4a6t3bT5Eo+eI3LARSYTYjLtEbppjVx5sIxh6Dy6uw+nAudPiBNpDiTPNR4uQU1K5opBUp8BkpR+ThsOIfE8vxIrNx/fiWcNeX9CCC6e7KFLl7xcP4hYKhpGjLrLMqx81azynNBkVbHHwYxSDx809IRSAJJdW92UdomqKMmVElHmajAyNRILCBW/CX5TRv15dYvOgIU/xr4VJW4wPLR8mEy+s8giiywikNar5aGHHqKrq4sFCxZERJudTidf/OIX+fOf/8yuXbuGvZFZHD7ElW+HlaKK9ZH0+/00NDRQU1MT8XEeav7z/lr7uOMmCWqmCAqLYfc2SXdnfzTctCPQTY22dNvlTjww0BwCzZGC6VLCj7IILR/Kxzkr37Zhl/KK9XvqExSHo3wV2AZiHk2hMi/+IDIpLIvhSMw7YZQThwJvHrRJcDwM7memlKGczc1tOqqA6cUOFo9ycdviQpaMdvHKAT/ff7eTNU12BMpIQ0oiTQP5zCNQMQr//BNDyhX/IJ4pBJBXgHnS2Sjb1sLeHaFlOzt1fry2k6f2eZlX6uTWBUWcNtods9RQOKYVObh5fiGfrPGwrUPn1rWdvLJ+NzLOe82SMjQwz1i4kiaJG2kXbSklW5v6aOhKURJrGmxv87O2Wefs8R4K4jlnGcn3N1xkJaX9ZGgeBqSfp5sEYss6tLoPbel2vHJRaWJykYP5pQ5eOOClK/wB73+eB1cdMCxbvp3rUJgYppBRFcExo/Jo8RrUdqQiSg/b9yCnbTRHQtdMk9RL64UjYMroY4VBythEOhXRo5YVeWWRRRYjgLQ+d+3t7dx1111ce+21UcscDgczZ87koYceGrbGZXH4EZ9Ah/1/jPqzQfl2uPu2tOSQHLh7eyRNDXbk2e0RKIpg6myB0w3bN0r8PrsNrU32WKoqSemqYDkZRRFJ60QmK52k9pc3yTpwDw9iGdOlGpwPSowPB+o6/IwvcsaVS6eEYdK45joUjq1w8kGzSa8u45bxUgf1s/Co65Y2ncmFGu7+/pzjULh8ei43H1NAoUvhD5t76PRbCesmR2HVm9B8EM7+NF45cOzBdbqDl9A6/kxkfhGeFx8BaTtO3/dhD1LCN2bl8+XpeRS7Un9WNEVw5mgXP3d9yJzW7azoKWbrO+/HXT94PTImf2nIiGPVdR5ONPXq/N+7B/nV24388JX9rNjcmpCw+w2LR7e08ut13ZS6FZaNS0D+pJX0XIUQw5NCk1L+81AIdMabRkD6vFhPPIi8/05kxSgCR580PDvGfj4+WZODLuHpfd6BBf2scbCLu25abG3xMqPMg3PQCS4ak48i4J0DPUmPK6VED75PB5uFOZMob6RMW62im/3+FUlk5cG2eXWLroCFRKakeFAUhvahziKLLLKIgbQ+IxUVFRQVFcVdrus6u3fvHmqbsviIkNBAbNCYb7A0u66ujtzc3IgSDEMtX7Vvl0TVYMyEga+fwyGYMUdgmjaJNk3JwXqJ2wOF8eudR9ViVRPU91RSmLG2S1plHbiHC7Guear1nw9X9NmwJPs7/dQUDzHCNExJeQLB0rFuAhasajZjShwhsp+FR5+7Ahb7uk1mlUZHfiYUaFw1Kw9TwpuN/pQnKaTfh3zhcZgwhb6pc5GDIu3h5FEI7IGt04Wx9EIcB3bj+nAte7oMOgOSC2o8zCxOP9KvHdxH8V9+wYRn/8j1bW8xWu9kZV8JyvbYKUayPwp9OCLQAVNG1BkeLuim5Knt7dzy0n4+bPVy8awSjh+Xz3M7O/j+S/tYU98Tdf/WN/Zy88v7+dfuHhZVObnlmIIoU7XoAyWPQg/Hay3pPiwJZmYEWhEiqZIhGaSUyPXvI2+/Cd5+CRYtQfna91ESRFEzQVWuyklVLt466Odgn4mdZ2C/LM1BMu66jgBdfpOZZTk4BnXmYo/GtFIPqxqi+8FgGJYc+OArAtT+c1KjS1fFQrpmjqGJgDQ8dCwpsVLsZ0EzsSyyyCKL4URarl+6rqPrOo4YOTAdHR2sXbs25rIsPh5IJf95YF0ZyhMOBALU19czY8aMCMmtOYRIS2ebpL0Vxk8WOBwiVMLKNCU5eYKps2wCvW29pLvTXi+e3NfhEFE5zUIINAdRJamAlMsTpSIFT4QsgR6ALeOOVCykGhE8XOWrDnQGMCyYEJ7/bBi2u50k9ShHivV/B0NTBA7FLr+jKWBhE91xeQpvHTQ4uUrFUiMN/gbnknrDos9b22wCclSJE4+m4B0UOhqVqzKjWOP1ej/njHdjSEja5V9/Dnq6MK+4NqasPGBBuL+zImwupM89AfHOC+S+8k/WLpuGJmB2cXp1toXfS+7rT+D54GWkJ4+uT3wJ3+xFXNDs5fc7fKxa9RTHlVRgVoyO2tZnSPJckFGoyjKRlolIYeZtJOTbW5r6+Pv6Fg716hw9OpdLZpdR4rE/7SeNL+Bv65u5c9UhZlfmcNmcMhQBD25sYf3BPkbnO/jugnympTpRYehJ+/qQbR1SyX8eknw7400Bu7a5fOx+2LkVxtQgvnAtYuxEAFyGjHjGhgqhwLljPbzX5OeJvX1cdVRxxLUPmBYeRcWSks0tdv7zUeU5Ma/fotF5/HlDM/u6AowvjB9JjlKyaA57siLFsV06edCWlAPeCEGynsrEiAApUn/pqurwlljLIossskjrU3LKKafwq1/9iqampojfN23axI9//GP6+vpYtGhR2o145513uPvuu3nyySf53//9X9avX5/ytgcOHOCyyy5L+5hZRCMRgR4cNQlfde/evViWFeG+bVkyYwduKSV1u+ySVFVj7N+EYucuBzlnSblg3CRBV4c9yIhXcjMWeQ5CVUXMwV6qxC3VCGks2IQxS6DDMfg+pXp5041A72jxsmJza5QEMhmC+YM1wfxCS4KvF6uvF3o7B4h0IlgSrPRyZvMcCsUuhQKngkdTcKg2wVCFwKEIllQ7afRKdndboehyEEpYZw6YkfLhLW06eQ7BxEIVjyZi5oWeOtpNq89iY6ueVJopO9qQrz8Hc46mr3pizHUsGWmgFXz+TFWlZ+mnUdqaWH+wh1nFjpCsPCmkxLVlFSV33Yxn1ct4Fyyh9as/xTdnMQjB7HIPU3NhxdiluFbejeiLlrHastXEh0lo/BVIHpk1ktR+3tnq5cGNLfQFUhvqG5bk3tWH+PXbjUjghuNHcc2xVSHyDDC51M0PTx3DJbNL2dHq5eaX93Pzy/vZ2mxHqX94YkXq5BnsmdQkBGeoedCpuW8PgUAPgeHLt15E/voW2F+L+OTliGtvCZFnANcw59sKAQVOhTNHe1jXqrOzK/LdEXye9f7yVaPyHFTmxr6fi0bnI4D3DnQnPGZUP3c47Kj3IALt1S1WbGtlV1tkXnU67+OAISPlbSlGoVXFfpWmCkUZgsdBFllkkUUMpBWBnj9/Pvv27eOb3/wm5eXl5OXl0dTURFdXFwATJ07k0ksvTasBr7zyCo888gi/+c1vcLvdtLa2csMNN3DjjTcyffr0hNsahsGdd96JPoRcqCwGkE4EWkqbJPf19fLBBx9QXFxMeXn5wL6GEBVsPQS93TB55oDsOjjm0Rx2DWgpYfR4OwDocNhR6sFIRJ6DCO4vCKEMzVk7VWTJczRUNXJcnIo8Pp36z11+g0c2t/H2PnsAWZXnSKuec127nzynQllO/2vT5x2YSbIs8PWB3wdOJzjc/eHV/rxRs/8vzfznXIeSsKaxSxUsGuXmkd0+3jxoMqVAxR1WVkkRwnayNSKlw1JKNrfqzCx2hMo45WqCzkDktZxX7qDQKXjtgJ+jK1x44kR8pB5A/u0OAPRlFyW8J7opQxLTUB60JQlMns22qSfQhpMLClOMLLUeJP+5B3DWbkMfNZ7Oz3wdo3pCxDpCCD45uYBfboAni+bw6Uf/QMfnvhmRcykUOzrvUqOffyklfYYtfS+NN2rXA+BOXCc5XvS5y2+ycnMrb/X3y4PdAb55/KikefYPbWzh3f09nDetmPOnFeGIo1NVFcGyyUUcMzqPlVtaMSV8ZlYpJTka9PUmPAbYfShiAjWgJzR8sq9f5u//lF6NaU5ChSPTCLRsakQ+9TBMnYX4zJcQ+YVR6yj9k1rD5bIe7AKnjXbzTpOf+7Z0cGNRLkVuu+8GfQX6AiY723ycNC4/bk34IrfG9FIP79V389lZZTHXMa0YKQYCcEfWBbek5L4NTWxp9vJKXReLR+fxqWkl5LvsaHiqpd38gycxNQf4vbFXDoOipkegg9tkkUUWWQwX0v6UXHDBBfzkJz9hxowZGIZBTk4Os2bN4gtf+AI/+clPyMnJSb6Tfni9Xu6//35OOukk3G47r7C0tJT58+fzpz/9Ken2jz32GFOnTk33FLKIg3g1oGWcL5Whm7z66quYpsnSpUtDH0wpZcZpnpYl2btbkpMH5WFlYYPfYlt6LUL/XzNZYfT4wfJscDiTk2fod9QO+7CmKt8eKrIEOhq2AZH9/6lenlSiHZaUvLqnk5te3M97+7s5d2oR1fkOXq3tSqt9te1+aopddj/XA2D4o1eSlk2iezqhu9P+r68XdH/a5NmtiqQ5qU5VkONQOa5CY32rSVdAoveb/PkNSbcBvboVNShu6DXpDEhmlTpCfV5VBDmD2IWmCE6qdrGpVaexNzZpkVIiV/4F9tfCJVfSV1iRsM2BGDJ9QwJC8OaMM9Esg0U7X024D3Q/ua8+RsndP0RrqKP7rMtoX/79KPIcxIR8jaPLnDw5bgk9jQ3kvfiPiOVCgEQyuOqVYUk6AwN543El2KaBTPDSs2KYh1lS8lptF99/cR/v7u/m7ClFXDq7lM1NXh7Z3Jrw9F/d08mrtV2cPaWIT80siUuew1Hs0bjy6EquPqbSJs+SpJFcjyYodIrIOsRGIDk/HsIkZNIItmRIBhuZOnDLZx8FhzMueQ4i0YRXugj6BLhUwVdn5OEzJXetPRShntFNi22tXnRLMqssJ+H5LRqTR0OPzoGuGO8uYsi3gxjUvx77sJ0tzV4unl7CmRMLeb+hhx++eYA39nVFmQXGg25Gv5cicq7jwJ7kJkTUU0W2ZGQWWWQxnEgrAh3EpEmTmDRpUtTvfX19EeWtkmHDhg309vZGkeApU6bwzjvvsG/fPsaNGxdz2w8//BCHwxEhG84icyQ0EIuzzaoPVtHc3MzSpUspLBwYUAyl9vPBAzb/mDkvMg8u/NunKAKHk4jIcWiZCpqWQg5dGDRVhAa3h6tm5MeVQAcHPENyoU4AVREYlkzZnC3ZQK223cf961uo6/AzvczN5+eWU13gpMit8cDGFmrbfUxIwRTMb1g0dAeYN6q4P9qcLEoySJqYJmxinFofcamCU6qdvNZo8F6TwZljHXgN+7mNJ4Pe0maT4VklGuGruDVBwBIR13XJaBf/qvPxer2fSYWO6AH668/B2ncRZ36SvunzkUnUJ0EZt0MRthRTBStgv4NW+zzM1uspW/0srQtPwsovir42OzeQ/9xDqJ0teGcvpue0TyPz4hOaIC4Y72Fda4C/H7ucb7z1fxgVY/AtOAUYeL/4DIm7PwrtNWRUXrjftO9rzPeL7gc19gRywIwc7O/t8PO39c3UtvuZWurm8nnljC6wc76benWe39XJmAInJ4yPVkhsb7al3nMqc7hoVgLnxGQwdRIxYY+m4Am5swscqqRX749Qmsmi0Jl3/6SvlhgfGFUIPJpAAN0JLOMzJs91O2HzGsSyTyYkzwBOBfoQUQZ6gxHLdyAWgtdydJ6T5XPL+cPaJh7Y3MIX5pQjhMBnSra2eNEEzCxNrII4tjqfv2xo5r36Hj5dMJAHHUwviIoIx8B79d28WNvJKePyOW2CfS2Oq87j4a2tPLillXcO9PCFOeXMKE8cTPHHyxVX1YRpAuGfTkvCMM5XZJFFFlmkjIwIdDysWrWKsWPHxiTXsVBbWwsQ4dwMhKTAu3fvjkmgfT4fL7zwAl/72td44403htjqLCA9+TZAbe1uduzYzlFHHRVRugoyNw8zdMmBWklRCRSVRpLnwQNWRRFoGhhhH+HBTtupQvTvyzTlkPKa08HHjUBbUuIzLJtgaHbUcySgqrbiOZ0SVvGwur6Hu1YdIt+l8pWjKzhuTF6oHy0el8cjW1p5tbYrJQK9vzOAJfsNxLx9Q5slSgJNEeSmmv+LnXc5Jt/BlAKFtw6ZnDZaQxE2mYjXzza36YzKUShxq1Gqi1yHoMtPiACUuFXmljl4s8HPpVNzyXcOrC+3bbBrPs85BmPJefEHxYMQCJNxq5pEKJJ9XSZtfotPTKiE901K7ro52rhISpS+Hoyyatov/zb6+GmhRUJJfFvKPSqnjHLxasNozp12AhOfexCzdBT6+KkoSj+Bbw7wTJ2XT03K4agY7uRSgmGBM1b3DwSipK5BhEeuw/vllxdWsHhsXsT77bOzy2jo1vnr+maq8p1MKhnon829Or9fdZCKXAdfOaZiaBNZenwZdDh5DsKhCAqd0GtAIKmMO5qaCyGSRgwHm97FRNi3SuknzuFKDYcZX0Kd4pxUBKSUyH89AvmFcMqZSdcXQuBUZVTd83AMXF+R1HRMEf0GWIrKvMocPjGlmCd3tjM638myiUUgbQI9qcRNbpIk7BKPxtRSNy/XdjKt1E1Noduu8Z7ibEdth5+/b25laombz8woDf1ene/k+mOrWNXQy8rtrfzozQNcd+woFo/Jj7kf05LoYffxn9vbeLc+LDc7rD1jczWunTXwjIS/0kwJWWV2Fllk8VEgLQL99a9/Pe4yy7Job2/nk5/8ZMoEurvbfmEG5dtBBP/d2dkZc7uHH36Yiy++OGUS8tJLL/HSSy8B8Itf/CKKsB8uaJr2kR07GQKBAB5P7NnrgN+KIMUtLc2s+uBdqqvHcPrpZ6BpA58wy5L4fZmRi+2bejEMH0fNL6SgaKBrKqrAFacObMBvYVkSp0sZEvm1ZecSbZgKhGqaRklJ/OhQfn7+x0JSZlgSr27iNyw8UuLBjvaU5KbnkJwOfF4Tp1NJKsGXUiJ745s3rVrdQnmek998cha5zshXXQlwyuReXt/VytUnFZDnSvwqbGo8BMD86iKKRGR0RFVVioqKE26fKhQBRW41bWLkzDU4cwLcsaGTfQEPc8tdKKqCJ0ZebsC02NHRzhkTCigrKQ7lU4ajwLDoDtNanzfNxU/fbmRjt8b5U4oAMBr20/nQPahjJ1Bw1bfolA6KUpw7E4KQ2VXAtMBj8a/6FlQBx8+sQf/8DSg71sfc1qwci3nc6Xg0Bx76J9Mc9n8tS9rp5nEm8T4zM493m/bz0FEXc1NbLUX/vAv/db+kw1HCveubWXfIiyLggR1efrusHMegPqiqKs6CIgriEBWloAgxSIUVMCykz+4zUkqeeb2BMUVufn7ejLj97sZlhXz7ya38flUTv7pgJqW5TrwBkztf24ZEcMtZ06kuHFo5NaurA6zo/pHrUPAkYJql2NHDvpzCuDFW07AivSUE5Ls0unyJc5dVTeBwJnkHB/wIl0aOQ8EV431daEnaB2vx+1HgUnCmWNNIU+13uH/te3TX7STviq/hrhqV0rb5pqQzDoPWFCKeuW6/GWX+Fw7TlOgBiXC7ES4Ply4sotlvy6inVJVQU5xDfXeAS+dWU1FWmjQN6erFDn76yg5++lY9SyeVcunc0eQnef8BtPUFuGf9AUo8Dv57yVQKYmxzZnEJJ04ZxY9e3snjOzs4+6ixMcdpfQEDpV8p0OXTeWVvHROKcxhf3N8f9QBSSlq8BhuavXQID+MLXHb/CPM7yXEoKSt1hMuNkhub0B/JY7MsssjiyERaBLq5uTnh8oqKilBUOaWD9w80BhOJ4L9jycFXr15NdXU1VVVVUcvi4fTTT+f0008P/bulpSXlbYcTZWVlH9mxk8Hv98c1Ywv4rdCEcCDg57nnnsbhcLDouONpa+tAC4tUmIaMiAqnfHyfpHaXpLwKLLrp6BhYpqoibsmoYESjz5s64XA6nQRScM0dCkpKSmhra4u5TFGUET/+UCGlpDdgxZX0+XvUlPIuM4Gh2/W/k00w6KZFV5xBqmFJNjV0ccL4fPw9XcTK+Du+2sWLH1r8a8M+zphclPBYW+rbKHKr0NlMxyDaUFRUTEdHe8LtYUBmqip2FNOWTUbWTS10KnSk0ZeD0C3J1JwA+Q54bk8nNS4Xmqri9/mi1t3aphMwJVNyTbo6O7D6Yt/HPt0KpTbUuCTlHoUnt7dyQqmF7OtF/u7HoGpYn7+G+s7eqBzfZDB6bEdxnyHp1U3ere9mepEDy9dDx7hpMG5a/I377JI9qtrvBTZIUS+lXW47Vtr5maPdPL7Xy3tnf40FK37B40+8xD8rFqEqcMmUHCYVavxsdRePbTnIsnGRJLWoqJjWjnYCLiX2JEevF+GJjEL3+M3Qc7Sr1Uddm5fL55UR6O2iLYGH19ePreCnrx/gJ89t57snVXPP6ib2t3u54YRRuM0+2tr64m+cDKYJvdEeADmagqKJwZczJoxAgG6pxYwqW6aMKBHocajgU+jyGQnrYKuaQE2ivlACPgqln14hiHf5/IYVO7Ib777FQElJCa3NTcgVf4aKanpnzqcvzjs9Frr8MXJ8gUKXQltfmIpDSroD8c0Qpewvv60b4LWf50unF3Cgo5f/e3sPp9bYMupJeYLOFN5D1U749WnjeXBzMy/taWXVvnY+Nb2ERaPz4l6bgGnx6/cb6QsYfGdxNZa3m44EnWTZhHzuW9fE6zvqOaosJ4rUd4b1g+f3dGBYkktnFFGd3z8x6/dBwE+PrrKp2cube9soHp/TP1E2sB+vKvClKitwuhDe2LnfIz02q66OUyYkiyyy+NgiLQJ99tln8/nPfz4msW1oaGDlypVcffXVKe+vqKgIsCXZ4Qj+e3AEr6uri/fff5+vfe1r6TQ7ixQQN/9ZDpSjklLy7ntv0dPbw+mnn4XHk2O7bYcT6Azl2/v22NuNnRj9AU+Ul5xuFFcIgcPhQNf1tAxIhhMfB/l2nx6fPIMdgRohFXdK5BkSlxXa3ebDb0pmVcTPwxtf5GJisYvXars4fVJhwmPWtfupydfIxF1YUwQeVUREM1WVkOxUSptIIzI3sXMoArfTwfGVOi8c0GnzmVTlx5bYbmnTUQVMK3YkLOmTowkMy5bvK0KwZLSLR3Z5qW33M/6Ru6C9FXHVdwkUlBDojyY1e01ipaBqClR4IjuM35I4VIEhJft7TJq8FueMd9spkMn81oRd8SbeoyT6l8v+lIBwaffSajevN/p5oMXN3064kSZTY7F3L59eOpvSHAdFLoWjSh08VevlxFHOmBEuvwmeWF9P3Q9hBNoclFf6am0nLk2wKI60NRyjC5xcdXQlv3vvILe8vJ+WPoNLZ5cm7NMpI4Z5WI6mpF46DNCMALluJz0xym6Fv7M1RcHdHynWhCCQ4L2byqsxTwVhJm6nWxX4zcjyi6oQ6UveV70JzQcRy69DqOm98FxqtDw716GgxggY5DmJSJuIXI7thB3mdulUFb66oJKfv9PAs7s6yHcqTCiKX9t5MDwOhS/MrWDR6Hwe2NLM3za18PaBbi6cWkJeDAXAs7s72NsZ4OoFFYzOT6I+EoJTJxbw900tvLq3k8nlbtwoqP0O/oEw8zBLSt7c182UYvcAeQbQnBDwk+dQmFqosaYlwPnjPVEqsyEU+8giiyyyGBLSItCnnHJKXJOw6upqpk2bxgMPPMDy5ctT2t/EiXb9xNbWVsaPHx/6PTgTODi3du3atbzzzju89957od+CxO/yyy+nvLyc//3f/035fLIYQHwCHfyvZMPGdRw4sJ+FC46lorwytFz2mz5lWvu5t1vS3AjV48DtiUGgh1HprChKiER/VFHgI51A66YV3224H4H+cicjYSaW6qRIoiZuPtSHImB6WWJTnVMnFPDHtc1sb/Exozz2urtafRzs0VlcmXhfg+FQBG5NhHJ940EIMSyTETnS4Mzdr/Ci80SefWcXy5fNirnelladKUUaLlUMNteNgCIEBU7o1e3JihNGuXhst5fn39zMV3ZuQVy8HKtmMn1+SYvX5MEdfaxviW/+c/Z4NxdPHiB/uglSk5gWrG4KoAiYX+4MVZeKN3+jKPYERCrdJEik9TC/LKcqOH+8h7/t7KXC7eQ7ynYWvXYfPs/5iGUXAnDZ1BxuereTf+31RbQ5iIApo3KEAbAspKEj+vODw8lzj9/kg/peThqfn1AiHY55o3L51MwSHt3axonj8zl9UnKztJRgREqpBSIt8mzvQ8epSDwOBe+gWZNQKSsRaYanqgISPLfJzAM9DgUtBdYkhCBHg56wKHi62TmWtw/5wuMwcRrMmJvexth58t6wy+xQ4rvqq/0kujuGMSaAUBTkoGtT4tH42nGV3P5WA7PKc2LK2RNBVQSTS9x867hRvFffwz+3t/Hr9xvjrv+JKcXMq8xNul+HKshza5xSk8/Lezq5ZHYZuOwJBZdQ8PsHznFbi5cWr8EFUwelwKiK/aBbFgvKnDy4u49DPpNxg2Tjw1QtLIssssgibaRFoJM5XhcWFrJixYqUCfTs2bPJz89n586dLFiwIPT7zp07mTRpUpTs5bjjjouqDf3+++/zwAMPcPvtt6OmOUOchQ3LsuJGY20ppMn7779Dbd1uJk2cwrRpMyK37zfySKf2czAKDLB3l0TTYExN7MHFcHK0YB/5KKPQRzKBtvql28kgpUQ3Ja50B93DCDPB6GlLk22qk4yoHDMmj4c3tfJqbWdMAt3mNbjj/YOUe1SWjE49wqMpgvxkuZzDBCklbFlHzuMPUNPZxsVHufhH2XGMf2sLy06dF7Fup99iX4/JRZPsc012+xQhyHcORNKO1Tp4Qy/n8hPPJPfYk+nymTxd5+WpWlvPeeFED1U50ee9oUXn2b0+xuSqLB5lX0eJRLcEhmXxQVOAaUVa6Jqp2vCZAwnRb+wbRmYWVzgpdyvU5Gt4nMcRaNmK+9WnsKrHwrxjmFzoYFGVkxf3+1g6xkWpO7I1Zn+pnpiuzoEAaA67dFVYBPKtfd0YluTUCanXHgc4Z2oR08s9jC9yDY9vgiWjXI4znsAJBMhxezAtIkorATZ51pQIVcXg6GvE6knIs6bY5oXSm1o5OKcq0MwBR/l0Hbi9LzwBPV129DmD664KgRasKoAgN04aUhAORZDrUOiNIeEQmhYVm1ZUwdQyDz88dQwFbi0jh3GXpmCYKsePyWduRQ7bW30xo+C5DpXppanl3Lv637lnTy3m+V2dvLW3i7OnFuM3JYZiYYmB/b++r5t8p8L8qhjEXHWA5WdeqZOHdvextlVnXOFgAp16zeksssgii+FEWgR669atcZd1dnby8MMPp0UOVFXloosu4l//+hef/OQncTqdtLe3s3r1aq677joA/vjHP1JbW8utt96Kx+OJMroKlk9KJyc6i0gkcuD29nl59bVXaG5uYs7s+Rx11Jyoj5VlSRQlBdllP4RQcDicGIZBe4tFRxvUTImd5xzLgXsoCPZPIQSapsXN+x5JHMkTPX0BK24u3mD4DSvtqMdwweiPgMdCt99kb4efC2YkN/ZyqgonjM/n5d2ddPiMCHMfv2Hxu/cOEjAtvj2vgLw0LHydh8nNXbY2IZ94ELZtgKoxdH1qOSdWjmPvazv4h2sso9fvYNa8gTKBW9vt/n5UicN26k7x2fJoAm3fHs5d/TDvzL2at2adT1mTn/u29NDYZ7Gg3MGlU3OiiGYQC8qdtPks/ry9l8oclYn9A2GvIanvNTnUZ7Fs7NBMsRJBVe186GCXEUIwpdCOEisq9J1/OUrLQbQV9yHLK9Gqx/LJiR4+aArw+B4vX5qZF7VPvxmHQBsBIJeesGfJrvncyeQSN2MKU5+ICbY13Il7yIhRIsiVaX8N+MHtIc+p0OWPrP/r0qJNvjSFuDWuEg0dbJmzak8WpVEDOlcTdAaCBDrlzZBdHXiffxzmHoMYNzH1DQfBpdoEOseRmnzcpQpMyy5NFQ4Ro/FBpcaYQhcOVUGRIiMFmMepYPgluU6VhaOSR5iT788+zwnFbqaWunm9roszpxShCIFp2f4W0hK09ulsaurjzImFsZ8jhwN0PwVOhSmFGmuaAlw4MXqSM1vKKosssvgokBaB/tGPfpR0nQsvvDCtBpxzzjlomsbdd9/NuHHj2L17N1//+tdZuHAhYBPzzs5OTNNMq8Z0FqnDjMN8Ozo6eOGFF+nr6+WE40+mpib2QMIyQaYxOHE4tP5yJQp7d5m43FA1Jva6wz2xHE5ew6PghwtBCfmRCL+ROO95MHRL2gOiw0QWw5GofNW2Zi8SUs4VPXVCAS/s6uTNum7On26Tbiklf17XzL4OP9cuLGF0NH9KiJhljoYR0rLg1WeQLz0Jqoo47xI48TScuoXwBrj0pMkcerOeuw4VcPO+RqrG2e7BW1p18hyCsflqeoSioxX1/juY7nIzNkfwl+1evKakzK1w3dw85pYlzovUFMFXZ+fx0w+6uGNTN7ccU0ixS8GUktVNAQQ2yR5JqFp06m8oV9fhQL/sa2h3/RT5l98iTj2HMYbkTLWKZxrLOadzE+NVPxx7MmBvFDAhR4sR/bIsenp96GKgE2xt8tLUa3DBjCHUbY6FgB8ME7R+N7VUJudilK/KeB7MMkOS9TynSpffDKV25LgU5KBPixAClf6yTAxeFv8wnv5Itkx1lrYfqiJC+dCJot+DIV98AgwDcdan0zreYDgVMNT40u1YyHEoSKwIZ26haRHSd1WLnPxyKAJFiow8SJR+mX2sXPZ0oSkKWlheyBmTirhz1UG2Nnk5qtJ+HwshUB2St/bbVVhOHBvHD0BVQ7XpFpY7eWhXH429JqNyB6tBsqWsssgii8OPtBhpbm4uc+fOxTG4Nid26akZM2awePHitBuxbNkyli1bFnPZDTfckHDbJUuWsGTJkrSPmcUAYkWg6+vrefXVV1EUhTNOP4uysoqE+0jVeduO/Nr9p+UQ9PbAlFkibgmq4Y4+h+9PURQ0TcMwEpdWGU4cqfJt05L0xXJ/SgK/aZGjHP7hi5FgoLi5qY8ch2LXbE4BlXlOZpZ7eL2ui3On2ZGSZ3Z0sOpADxfNLGFeiZJW1MupZmBWlCbki0/AS0/CnKMR51+KKLKJmQsTzQ8Oj5uvHVPBT9b28NvNOt8v6iEnP5ctbTqz+qPPqRIKGfAj//I70AMoV3+XT+l53LmxmwsnejhnvCdl8lXgVLh2Th63renijo3dfG9BAQ5VsKZJZ2qRRmGcUnXDBWUgrTKE8EvgLC5G/Ne1yHtuRz52P27gs5qH14/7Lo8cgB9s/Du8+xLiyu8hc/JCEvTBkyV+U+I3AxCmlnq1tos8p8LR1WnOxCSCxHYrlhaEXmHCJtKaCiLOczkoAu1UU1cixES/ZF1V7Chxd8Ak12lHRGM9p6oSm+jFM4t0qGFltdJ4DoPwaCKmLDke5Oa18N5ruE8/n0CS714yCJFcuh0LuQ4FgRWKRAtVHSDQItqp3KEKhExdBTYYDlXBqcpoGX6acDoj27V4XB5/W6/wam1niECDfSpvH+jmqHIPZTnx64nbBgYBFlbaBHp1U4DzJ0RGobNGYllkkcVHgbQI9GWXXcZpp502Um3J4iPCYAK9a9cu3nzzTQoLCznllNPJy00+6EtVOqaqKkLYA6i6nQa5+VBWGX/9RA7c6SIWeXU4HIeVQB+p0ec+PXbJlWQIGJJE45+RQrwItJSSLU19zCz3pEViT51QwJ2rDrHhoF0a6J9b2zhuTB7nTMwDb09abctYDpsi5IZVNnk+5iTExcujJoVcqoIhFEoqSvj6hC5+uS+fe96s41MnTKUzIJlVYt+wVIJiUkrkij9Bwz47F7SymlOBk6tdIeWB1e8ibliSgEXCfjQ2X+PLM/O4c1MPf9ney7k1Hup7TS6bOgzO0ilA1cAK8w4MXjpBv9nb2Alwy2/A7yNgSkzD4rxGi4f3TeO9z97IokdvJ+cfd9N7xTdBVfGbEmfYhdQtaeewigBgD/TbvAbrG3s5a0pRVF3pISHgjbQXB6A/vzmGTDsekpncJYUeQMqcfjM8QYFLRYtDksFWI0QFO+OkE9gENOy9nQGBDhqKpQLZuB/58L0wdgK5F11OoCdBnbERhm2+ZuGTCkJVEIad7ztYiBfMtR6qn0eOQ0mYGpMKXIMmC3IcKifVFPDsjg7a+gxK+m/E+sZeOv0mp4xPYoqnOVHMACUOhcn9Mu7BBNpu75H5Xc0iiyz+fZEWPcmS5yMbmXxAYxmIrVmzhrKyMs45+9yUyHM6CEaf99cG8HklE6aqCUnlcDtwD4aqqoc1J/lIzH/2G1bGkQdTSvQhRi3ShSXj10xt7NZp95ppl/qZNyqXIrfKE9vauGf1IcYVuVi+oBwRo9xPIihCDC9JGgRZvxf5jz/C+MmIT10e9ewIIXBpA0qLSdNqWJ7bxCZ3Nb9f3QwwQKBTefu/8i/YsApx9qcRYU7E4bJ9RQicqi0DzXcmP/eFFU4unOjh3YMB7tpkT04sqBhZ+XYQQgzkjgb/DZEmWsLpQuQXohUWIvMKOXVSEWVuhYd7y7A+cxWOPdvwPLcCsAlzkHCYUtITdFGWVsjp+o06u97yKWmahyWEJcEfu6Ztuhiy1520+gsV2wjms8bj5bFSPuKtm+uINCGL0oSniFQmLmVvt620cLkR/3UtwplervpIIMeh4HHaz6tQbKM1pf/9ogpBrlOlsN93QAiRUhmweBD9z3HG2ysC5yA5iqoITp1gk+TX6wbqjr9a20Vpjsbc6iSVDVQVpX+fR1c42ddjcqgvsg9kI9BZZJHFR4EhJRXrus77779PW1sbkyZNYtas2GVTsjg8MAzQYuXkJcDg6HNvby+9vb3Mnj273+hr+L5OiqKgqip6QFK7009phUZpuYauxy8nNdIEGuwodLw88OHGkSbhNoMRsyFgJGtCx0Ki/OctTXYEeVZFeiWnVEVwck0BT25vp9Clcu2iKpyKEkEMUsFIGm/L7k7kX34LObmI//p6qFTSYDhUDbeqEOgfWS4+/ij2P7+O57TxjNE7GP3ECkAgVBJVFLL1oJvXwvxFsOTslNqoCoFHi65/Oxjn17g50GOyuinA5EKN4hGWb4dDUcAcqLIExDZ9C9YNdijwqUke7tnSyxvTj2HR8WfgfudFzMrRBI4+mYAJLtUmzxFSYT2Aoai8UdfFrEoPFbkD98uhKkObeAr4yKQm+WA4lCHKt0Pt8cMgwmm7ake3UVNElJFYLKWR2j8ZFIERmqyTpoG8//fQ1Y746vcQhckNCA8XPB4nKAo9hmmnuSsCTwyDNgClv5xkpnCoStIShvHg0mKnrozKdzK7Moc39nZx/vRimnt1tjV7uWhmCaqqgJRYpu30HYTtnC9QNejrdWF6vSyscPDwTljTFOCcmoH3e7aUVRZZZPFRICGB/v3vf09HRwft7e04nU7OOussTjrpJMCu1fyTn/yEgwcPhtY//vjjQ+7ZWRx+SEti6AJHGsGcwcSxudmOUpWXlw/pQxwLwehz7U4/hg5TZrhQ1f4arXEwnJLneNFfTdNQFCWhG/lwIHicIwm9AXPI0r+AdXhLiSQm0F4q8xyU5aavKz91QgH7OvycN62YEo9m53amSVLSMQtKB9LQkX+9A3p7ENfciMiPL33UNBVpESLQABctnY33pc1Ma/4Qtf2Afa9SaeqcY6Jk4skQNG1KJAUVQvClmbmoAhZXHZ7o88Cx7dRK0wiLQMd5LDXFNgs7ttLJ8/t8PLi1jVmnXYTa1IDn6Qcwy0fhr5mKIYlWRRg6G9osOnwml88buF/BckWd/c9N2rCkTVghRFgyld0OJeIYAUNHWiZikB9CHMNtNMLStolNoGMqOUboHS2ffAh2b0dcciVi3KQROUbGUFVyNBVFCBRhVw6IB0Ul8sKmCa1/QiWTfjk4/zl8n0smFPDb9w6yvrGXna0+VAEn1djmYaomcCm2cuf/t3ffcXKdVYL3f88NFTqr1a2ck2XJsi3LGUs4YYLxGHAAj4nLDLCkfYd3dmBm4IWZHXZgZnbnXWBnhtkXkz2AMckYHHHCliwbZzkoWMmSpY7qWPHe5/3jdlVX7opd1d3n+/noY3fVrarbXemee85zjlchoibmvHv3Fw0EcSIR5gdgTZvJk1kBdMb3jzHRcl8IIWqoYAD90EMPoZTipptu4pprrkke/EejUb785S9z4sQJTNPkzDPPJBaL8dhjj3Haaafxlre8ZVp2XqTzJnxoTJe8TbkyZQaNPT09mKZJZ2dn2tzUSiXGRoXGXY4cjLJkuU1r+2TpWa4v7GrGmlN1v7Ztm0iVSiJzsSyLQKB2Y3rKEYq5xKpwkkRrTXQaZ0LnayAWczQv94XYvjJPV9cptAcsPn3R4pQ7LC37bCpVk47kWmv0z78Ph/ej3vufUctWFdxeKYVtpP+NTNviA289GzibEd5NYKLkuhYSa05HY4VfW35T8dEzqrtEpFiGQfLbr1ATLUsponhdpW9c18Q/Pj3C/a/HeOuNH6Hlm/+d5v/4F0Y+9nmcjvnZN9YuD7w6QmfQ4qxFk0sK/BMdpQOWIjTF3yiniJd9Vngzuk2lJuZSeyeX4m6OYD6Pqr4EolEIpFd+5AugTSO9wViuP3/O4L7MEu5C9M4H4LHfwRvfitp2cdXvv2ITaw4CRXTrM/Jk/UthGyrt5FsxlKHw5TlBbZuKMxc1Mb/J4p79QxwfibJtaQtt/snDz+agATo9cE6wTINIoAnGR9m2wMdt+0P0hRy6gpOPlxxlZdkQaILRoZL2XwghSjXlJ/I73vEOrr322rTM2U9/+lOOHz9OIBDgb//2b/nc5z7HF77wBT7xiU9w//3313SHRX6JA5V4CQdlmQF0b28v8+fPxzCMsmZK5mOa3uiq/S9FUMDajf6063KpxfznfCzLqlkG1bbthgue464mVGapXi6RKt5XIVpr8lUH7x/wGj+Vuv45J9ctqRET1C77zKP3w+5H4IprUGedX9RNplrPWOvRYz5T5Z7tWgRjonFUq21486drtK+Jj4RCTbRSY5bTO23OWdjErw+FGbGCjN38SVQ8TvMPv5HMCKc6Oe7wYl+EN65qS2aKjZTnJWCVMdLOdSHmPVaLb7KTuqm8UUnNtkG736DDb0zZRM8yqtwtPsffQOX526a+/lSOMnKvl0D6Z3apM6CLoV99Bf2LH8LGLai3VTayqibM0r+XKh2KUE4PB9PK3/vBMhSmYfDGVW3sHwgzHnO5LKUfgM/0Rl9ZVu4TWaZSXmBs2myb6JXwZE/6yU1H45UxNDV7I7/qMBlCCDG3FIwqlFL80R/9UdplJ0+e5M477wTgwx/+MOvWrUtet2PHDsLhcA12U0xFp2QSXZei5kFmNhBzXZe+vj66u7urGjyDN/t5eMjhxLEYK9b4CAQnX3r5Squr2YF7quZdSqmc49kqZds2fn/9m9Gk0lpXpXQ7VWImdK3F3fzN8vb0jGMqOK2rtPXPOcVKr0aoxexnvXcP+o7/gM1bUVe9o7T9KRQYTkOxQHOJD5IInDv8Bn7TOyAPWgZtPoPOgEmbz6DJMlBV7rhbaN16ZvD+3i2dhOKaOw+FcbsXM3bjRzBPvkbTz76dlWq981AIU8GOFc3Jy/wpQYKhvCx0SSayz02WUTDwN5SiZYrxSYVeH2VxHXTGRIN8sV/q3zXXuc3pKN/WYyPo730D5nej/vhjqAZbXgMUN9c78yYVPq92Yo16CaaqPrIMxfaVrZgKlrbabJg/eUJ5qvdA8iRWsIkFQYuVrSZ/yBVAB5smlxCUso5NCCHKUPAbo6Wlhaam9GzO9773PeLxOJs2bWLHjh1Zt/H55IOrHrKX3xUXQKcaGBjAcRwWLFhQ5eyziVIG+/aEsX2KVev9Oa7PNcKkevtQzNpj27aruka50uBZa12TzG4o7hZcR1yuUsv+yjFVA7G1nYHJmbGVKLV5WA1mP+u+k+gf/CssWOytzSzxtWkb5A02a52BTjxGoIhslqEUTZZBu08VzOJbE2XPTWXM1c2nmCZaqcHeqnY/Fy/2cf/RMH0hh/iGLYSvuh7fnifxP3RncruHjoX5/etR3rQ8QLuaLDv2Z2RVA9bUmeKkieyz3ywu8LYMr6FbPjVp/JeRhc73q5kpf/dcJ0pzVk9UO4C+71cwPoZ6/ydQwekZo1Yys/STupUmX5VSWCV8luXqvp3JNhTtAYsPb1vA+7d2J597M0elQa79MZXyzrT4/Jy7wMeBYYeB8OT7yrV86V3Ta3AyXAghUhX85AoEAvT09CR/fuSRR3jyyScBbyZ0pkgkwsmTJ6u8i6IYmQGv1kzZQTtz/nHiue7u7k7LaFfKsiz6ex0G+hzWbPBhZxwAe+M3sl+K0x1AK6WqdgLI5/NVnHkOxV3GY9ljxioRczShCrtu51OtoNxxNVEn91zqfI8xHHE4fCrK5oVVOBB24iUfrFc7m6fDIfS3v+bNx/3Qf0EFSs+qe3N5sy83qxzoFxLM05kX0gPnQJ7yzVz8FZSHZyqmiVbm+Zh3rgmiFPzs1RAAkTdcRfSsiwje/wvsF59i72CMH7wyzhnzba5fF/SqGbRXqpp54sLLQhd5YiQcxjIy5iJPIWgZOZ9vU6navA5i0bTPq0JPU+LxM3fDW8Nf2wBa9/XAzgfg/B2oRcuqdr9VV0YGWilV8XdnKWXchjn1LPHE+/XC5a2snz/5WZark3guyfeNP8i2hV72+g89E0tslIHjz1h7b9nVbaIihBAZCn7CnHXWWXz5y1/mN7/5Dbfccgv/8i//Anil2qml2wl33HEHsUItlUXN5Iqx4rH8XV611kSjcVxHJ4Pl3t5egsEgzc3NVTtW8YJjk30vhgk2KZatyh2g5iqxrtaa5KkaiKWyLAvLKn26m1IK0zST650rXfPsuJpw3JsxG6lSZldrzVisdt1JqxFAu1ozEnEYiTgMhuIMheOMRR0icRfH1Xkf48WJ8VVnlDi+KqdoadlnparYzRjQrou+9ZvQd9LLjnV2l31f/lzjmabxuFKp7Cxoaql2KYFzqqYq1aAXE4tmZuM6AyZvWh5g14koh4e9Vt7j176f+LLVjP76p/zvZ4fpChp8bHPzxMkDDbFo3jLXQIGTDEmOg+FEpyzLziXXbar5ek2TMRM63xpo8Epzc61/9uWrCqhiZ2V91+1gmCUvi5heylvPWwajwud3qoA4bVtr6uaJlpH9fe7NrC/ucZKfWQoWdbawrMWcXAcdbELnqrSxpBpSCFE7BQ8fbrrpJpRSfPe73+Xuu+/GdV1OO+00PvzhD2dte8899/DTn/60ZjsqCsuXpMxIMntNmOKa0HicWNQlFtNEo5poxKWnpye5/rlaSU/LsjnxWpzRYZd1pwfydgfPbCQ2neufM/l8vqIO6g3DwOfzEQwGaWpqIhgM4vf7ywrAM6VmnsNVyhiPx9yarlN2df4Atxhaa0YjTloH4birCcddRqMOp8LxvON69vSEaLYNVnZUuN5cU3L5djFlyiXtwl23w0vPoq79Y9TajRXdl22qrDLuUsozqyGRMbYMRUvKGudKWEbhcu9i76OY8ulcSbK3rQrQYit+sn/ce5/aNgM3fpyvnv4+nGiE/7LeSOtybsQieccPKaWmXnYQi9Jql7dMwDS8TH+qWs4rL6WMu+j1z1C1DLQ+8io8uxve+BZUW0dV7rMm8jTXLEalyVezyPeGYaiCY7USlMquGvGV0MQurVrC9nHuwgD7h+IMuRZYNo7OkSzIWAddi2VLQoi5q+AndEtLC//4j//I448/Tl9fH8uWLWPbtm1pwcXg4CBf+9rXGBgY4Oyzz2bx4sUF7lHUSr5MsxPXWCagwHG8n73y7vTIOhQKMzIywtq1G4hFK/+iUcrA57NRymL/y6O0dRgsXJL/5WYYRtos5mquJy11XbNhGNi2TbRAJtIwDILBYE06d8ccl6gzebDoTKyFLrbcLZWeCGpjE4ForcVdXXZ57ViZY7W01uzpGWfTgmDlr5t4GbOfLYNqDUDTT++EB34DF16Guvjyqtynz4RISvJuOjPQCa12eZnmQoKWIuqALmNsj1c+Xtz+JNZgpp7YabIMrlkV5D/2jfPCQIzNnTb/56jF4aYF/NWe77LuaJzRD34mGQT5lYuOx7zS0hz8piKc8RgJPtMgoOIVlVwHLEXUVcRdbyRXTdfAx2PoWAw1sQ417ygrpbJOlBbsHl+FAFprjb7zJ9DShnpjg4/bLKN8O6Ea1cs+UxGeYhmYMosv97YMSC2AKuX7LPM75cylbfziwBgvDsNFHd5lyVFWiX2zbbQyvKoIvOVLsjJaCFEtU57itG2bSy65JO/1bW1tfP7zny85yyeqq1DGOBrV2U3G4unlcP39vQB0dZVfLgqTgbM1caB4cF+ESFhzxjlTB5umaSYD6GpmoMtpDGbbNvF4PKvRGnj7GQgEahI8e2XW2Y8ZLjKATmSBY46emAk7vWfd444u4lMlWzjult0w7fhIjFNhpzrjq+KllYkaOTIr5dJHX0X/5Nuw5jTUtX9clfsE70A4dRnANI3rTlOL94qhFEELxqc4yM/kMxXNJZaOW4Z3AjLVZcv83PdamNv2hzjQHecPvTFuXNfExq6LsX76/xH8zY8IXfNeAPwmXmY2TwCdyEKPRp3kz76JLuSGGwdV+fu42VYMRbS3L7UWDiUbOSlDedFNBtNQWBhpVSUFm7pVYwb0S8/Cq6+g3vm+svoKTKsKKpm8pVO6onMOlmEAhe/ANPOsV8/BNhSh5H3nH3uV83EmXheJRMGKziAtPoM9PeNctKIV8E40m5ml3JYNsYg3JUKWRAshqqjijxTTNCV4bgCFAujM61zXQev0L8a+vl6UUszvnF/W43uBs59gMJgMnqNRl0P7InQttOjsmvpgILWMu1rH2/kalBVzu1wNxWoZPAOE47nHQXlBceGDGa01wxPrh8MVdto+cirCwcHSR9KVk0GOOS5j0fIPjvdMrH/eXI31zyWusyyjKCAnPXwK/Z2vQ2s76n0fL3vtYy52SqmkoaqfCa6ngFV8MyyFV0LeYpc+fznXSRLLUFy3Nshrow6/Ohjm4kU+3rwiQOysCwlvfwv+3Q/i2/3gZIf2aBRdIKLxW8ZEp3GDdr9Ji8/0MsVV6itiTqw9L2V9a9mcGHpiKUS+P7VhZP9d82WfqzEDWjsO+je3QfciuCB7gkjDqaCEG6qwDtos/FmhJjpoF91fJOXkSDnVVKm/jqEUmxY0sacnlAyqc371THyHT8eECCHE3CLn5GaBUrs0Z2afAfr6e+nomJcMfkuhlCIYDGLbdtqX6cG9UeJxWH96cetSU5t9VesYv5QGYpksy0o7OVTr4NlxNaECWdjQFJm20Wjla5zHog7fe6aXv3ngNf7+4eMlB9GuLm0etONqRqPlHxi7WvPIoWGWtfmY31Tca1cplTVOaHKH4rkvz6Na64n1fXfA+Cjqg59GtbRV5T5TJda81qp3VD0VM9bKMhRt/gLlwVPePvfl5y3wsXGexYYOiw9sbE5+NoSvfBexdZsJ3n0b/ljiPaSz1gdnag9YNCcC54QS1+QXUs0O5lMKe/nGvAG0qbKWE9R0/fOTv4eTx1FvvR5VYXBaewpVYWKiGmXcdqEA2qDgmLSs7ZXCUonP3/LW8qfavCDIUMTh2LD3/sj5vWPZgLfUQwghqkkC6Fmg1IZfTkYtouu69PX1lV2+bdvZTbfGx1yOHoyydIVNS1txBwKJTtaJ/6+GSuc6+/3+5H7VMngGCE0xsirm5M8qj8ectHXTpdJa8+jhYf7q3iM8dHCYy9e00xEw+fquEwyGSgsqi818a60ZiTp5G4MV49HDIxwbifFHG+cVfZsm28jd/dV1KXX9czUy0DoShqceg7PORy1ZXvkd5pAIHKuVMW8ktpE/ME6MfWrz5R7nVCxT5W54pJTiz7e28tlzWtODP8MgfMW1qGgE65ldk5dPEUBn0vF4VbtPTysnjo5G8o6yysxA24WaSlWafY5G0Pf8AlaugzPOqei+pkUVKlAMQ1U8E9oqEOi2Bs0pZzjnuj//FJntfDLfv4klOy/0eCdqciWZlVLEDKusPglCCFHILDycmntKiT9c18XNOCAbHh4iHo/RNb/0ADrRcCvT/pfDKAPWbCytK7JpmiWtf56qRLvSANowDPx+f82D55ijiRQRAOea4RyJuxXNdn5tOMJXHznOt57qZUGLzRcvW8bNZ3XxqQsXEYq5fOPxE1OWj6eKFVkuF4pXljGPxF1+/tIAa+f52bakuajb2KZBYKJUNuv5LDH7DFXK6D61EyJh1EXVaRqWS6Lj9HTOgJ5OTROjoHym13G6zWfQGTBp81Xe8Tsh393kK4t3lq7GXbISvfN3kyfGXAddSkl2vHrZ57oIh/KOsjKM9Gy4r9DZnUoz0A/fDcOnUFffODOWMFQpQ27blc2EzlcR4LeMqTvH52AZqqzybe+26T93Bi2WtNrJJTz5TsRGjEavNhBCzEQSQM8CpQTQTo4goa+CBmK2nb1OeGjQ4eSxOCvX+ggESnuJmaaVN2ORe3uTYDCYN1Cuxvp8y7JqftAVKnI+c9RJDzrj7mTTsVDM5dbn+pIzkacSjrv85Pk+vvS71zg+EuWDW7v5yx1LWTExCmp5u58/OXcBBwcjfOfp3qKXChSbgY6W2Pwp070HhjgVdrjhjPnFjR2bWAMKk+WEaTK7RE3BrMJ6Yq01eucDsHg5rFhT0X1NxW/WpwP3dDCUosPvrW8OWLUpUy71Pg3DwLjoUjhxDA7tm7wiWsKyiCqtf64b10FHIllBXCIzmnpSp+Da7Aqy8HpoEP3gb+GMc1Cr15d9P9OqSn1llFJYZcwOTzCUylqmYilFs6+8pVE+0yj7vZmrc/zmBU3s7Qsnvxczv6O01sSUBbnmRAshRAVm6eHU3FJaAJ1j/XNfLz6fj9bW0tZemqaZNfNYa82+F8PYPsWqtaXP5FVKYZZQvmaaZnINdmYQXW4Dsenmal1S863EOml3Ym6y1hpXa/6/P5zkvgND/NOjr/PNJ05yKpw7o6q15sljo/z1fUe4a/8Ql6xo5b9fuYIdq9qySii3LWnhHafPY+fRUe7eP1TU/jlFrIOOOW7OkT3FGo44/GbvIFsXN7Ohq7jmYU22kXYQllWeWGIAXZVy6MMH4PWjqIsuq/lJGp85ezPQ06GUhJtCeaO7zrkIAkHvJElCLIouIiDUrlNWVUTDiYyTuTTCSHkfmhOZ6IKjtcrMQOtYDP29b4DWqLfdUNZ91EUVmwiapqooHk8t0zaUotlvYtZhLYiRYxnF5gVBYq5mX793UirzayfmarRSVcvoCyFEQuNHF2JKuoQ1p/kC6K753SUfwPt82QFyX0+cwX6Htaf5yz7zbVnFf9unrpnODKJnQvAMxWdsE6KOF6CORpxkEPqLlwZ5+vVxbtjcybUb5/GH42P81b1HuPfAqbRg9uRojH/e+Tr/svskLT6Tv9qxlA+es4CWArNtrjltHucuaea2F/p57sRYVX6nSIVdUe94eZCoo7l+c2dR2/tNI6t0MCvjVXIH7sqDUb3zAfAH4JyLKr6vqUjwXBnLULT6ivtMabG9gFD5/LDtYnjuSfTo8OQG4VD+GycUmEM/o7guKqMUPfWjuaiRRmUE0Fpr9O3fhSOvot7zJ6juRSXfR10oA1Xp4uUMVgWl3MkTjUrR7DO9QLZOX62ZJ1lO6wpiGbDnZO4y7mSVU45lZkIIUYmZEWGIgopN5OUq347FogwNnSq5fNu27awA1cs+R2hqNli6svwvLLvIANowjLR9yAyiZ2sAnRhXlcha735tlF+/Msj2la28ZX0H157eyX+7YjnrOgP8x3P9/LcHX+OVvhC/fGmAL9x/lP39YW7aMp//59JlrJsfmPLxlFJ8eNsClrX7+OYTPbw+MvWBfaGMuta6orEiJ0djPHhwiB2r2ljcmr2EIJOhFE05Ap+0ANjVoEs7SK90aa0eG4XndsM5F6P8Uz8Pov78lpFcBpBP0DLSAkJ14WVeJvmJRyY3ika8BmGFzPTy7RQqGk6W1yqVnoG2DPJ3xU8oZwb0w/fAHx5FXfUO1JZzS799vdRgLKhSCrvcE9oT/ROa7UTviPTnbzplJr79lsH6+cGcjcS01kQT30PW1N8TQghRipkRYYiCig2gc42v6u/vA0pb/+x9GWd/IR0/GmNsxGXd6f6KvmBNyywqG55rfXNqED1T5pMX23QrVeJM++FTEW55qod1nQHee9ZkFcHCFps/u3gxHz9/ISMRh68+cpxfvjzIOUua+fKVK3jTuo7CJZMZ/JbBpy5chGXA13edmHKfC50UiDrZa9VKcfuL/ViG4toiO283+4y8HZSTQXQZaywrzkA/8QjE46iLL6vsfsS08pvePOlcfKbKGu2jFi2FNaehdz2UPgc6lL9XgVe+PYsCaFyIeB3IM5tETlW+Xc4MaP3yc+g7fwxnngtXXFPy/tZVFcu3Uxmmwixh7FSqZp+Jz0ycmK5fJUuuKprNC4K8NhzlVDieVm2V9j1jSBm3EKK6JICe4YoNRLTWWd23wSvfBpg/v6vox8yc9wzgxDUHXo7QPs9kweLyv6iUUfza5XwBciKIngkBtNa65Ax0wlA4ztd2vU6Lz+QTFyzMKoNUSnHu0hb+7soVXLepk//7DYv52HkLmRcs7/nparL58LYFnJjIABfiuDp/V9QCs66ncmAgzJPHxnjL+g7aA1P/Hn7LSB745ZL8m5U6/7nCg0jtuuhdD8Lq9ahFyyq6LzH9fDmCaMtQNOcJUNRFl8FAL+x9YfJCJ4aO5BlrNYuyzzDRwikSRkeiWQHYlCdLSw2ee15H//DfYNEy1Lv/BDVDKpGSqly+ncqy8s/lLni7lOeshrs3pXyNxABe7AmlZaCzqpykjFsIUUUz7JtFZCq+fNvJGWz39fXS1taecz1zLoZhYFnZX0RHXo0SCWvWb/JX1AwpkSnMbE6WS6EAWVWhQ/J0KDd4jjma//34ScaiLp+6cFEymMw1IiRoG1x92rzkgUYltixsYlN3kDteGWQ8WjhrmytL7bilNUxLpbXmthf6afObvHl9R1G3CU7R7CZ5YFjiDO2KJyPtexH6e7zASsxIqUG0oRQtdoHPnDO2QUtbejMxgPB4elY6ITZL1j9PMAxAaQiPYYRHcv/O+ZSwrR4fQ3/na2BaqA992luDPtPUMEJVSmH7Kvvwquf5iFyfu8vbfbT6DPb0jCdP2uocjTln3IkUIURDk0+UGa6UADr7tpq+/t6Syrdt25d1kBiNuBzcH6F7kcW8+ZWVSSW+46bKHie6b8905QSTWmu+/0wv+wfCfHjbAlZOjJ3yWwYtPrOs+ZzFUkpxwxnzGY26/GbfqYLb5jo5UMys63yeOTHO3v4w7zh9HoEiusCaU3X2JSWAdqubgdbRCDqaJ7vIRPOw5laYSWszRRafqWi1DVrs7A7BXt7Vu0xZFpy/HV56Fj3YP7mJdrMaimnXhYz10Xp4qKRlD3p8FH3iWGn/CpSUV4PCy36qeAxGh4qfh11kAK0dx8s89/ei3v9J1Lziq6oaSo0rpwxD4Q94gbRlldYQLFEhVi9KZX+mG0qxeUETe3pCxCa+X3ItE9rbF8pbFSWEEKWSRSEzXCUNxEZHR4hEIlMG0F7W2fJmNGd82w72x3npuTCuA+tPr/xsf+LuEw3C3DwHTzOhPLsY8TLWP993YIjfHxnh7afN47ylLYDXUTrR3ChoGclO3bWwssPPRctbuHf/EJevbqezKffHSK4AupzZz67WPHRwmNtfHGBRi832lcWNWys4V3aCNxqFnMsbCim0lFCHxtHf+DsYHYGrb4BzL0nLfuhTA/Di03DpW1E5qjnEzJLVQVoZ4PeDL+AFxxNzn9UFl6If+A368QdRb7lucvtoGO0PoBKfafEYibFPevgU+o4fwTOPw/pN8M73FewmreNxeORu9L2/Kj2L3dQMn/oCqmthabcrklIp5cOuC2PDaF8Agk2Fg7JiRn4dP4L+2ffg8AHU9R9ErdlQnZ2ebkZ585VLpdTEaCsTEid5XFcTj+uCf+5S+mbUiqUUTsZYtM0Lgux6bZTXhqN0Bu2s8u3nTozxv3ae4MPbFnDNxuImNwghRCESQM9wxQTQhcq3AbrmZwfQ3hesNRE4Zwer0YjL3j0RXn8tRiCoOPv8IM2tlQW1SoFKnQ9qmrM6gNZaU2o8+cLJcX70fD9bFzfzjtO9JlqmUrT4JzPySilafCbDkdzPezW8c1MnTxwb5ecvDfDhbQtybhOfWAedyMyVM/v50GCE7z/by8HBCKd3B3n/2d1FH8RNORonsZ12yJ8rzi3fPmjX9bJgfT2wdAX6tm/D7kfgXe9HLVnubfP4QwCoCy8t8VFFQzMM8AfBN7mMRfsDkwF0Zxd645nw+MPoN12LSm1qFBqDlokTQ7Eo2nFg5+/Qd//cWw993iXw/B/Q/+ML6Evfirri7aiMRo76wMvon30feo7D5nNQWy8gERxNyYmjf3kr+ttfg099HhUobrZ6KbzuzRkXRsPeY7e05Q8cC2SgdTiEvucX8Pt7oanFW/N87huqts/Tro4LjA1DYdsQ1TrvQIJ6rn9OMA0FGUH+ponlSXtOjrOpuymtsuv4cJRvPtHDyg4/b1rXMY17KoSYzSSAnuGKCZBylW8D9PX3YlkW7e0daZcrZRAMBnMe0Gitee1wjP0vhXHisHq9j9Xr/WV390x73IyDK9M0ieUo8/OC+wb4Jq9Q3C2tG/XJ0Sj/9sRJlrb5+NNzF2BMrPNu8ZtZ5aOWoQhYilCsNgF0V5PNlWvauXv/EFeta2d5e+7qg7ir8U0EsqXMfh6POvzspQEeeHWYNr/JR85dwAXLWorOziilispAA1jokgLoQuXb+je3wSvPo677AJy/A/7wGPrOH6P/15fQl7wJdcXbYffDcNoZqM7SRseJRqUg2Ay+7OUtyjTRlj2RVfaaiemXnoUXnoazzpvcMB7zSv5t30Qg/F04dgQ2bEa9472o7kXot1zvdZa+/w7007vgHTejTj8LPTKE/vWP4amd0NmN+k//F+r0s0r/Ndrnof/9n9C3fhM++OmqrxnNGUCD18AvHIJgnh4NOQJorTU8u9vLzo8MwQWXot76LlRTS1X3edrVOUJVSuHzQTSic56cr2cH7oRcPSHnBS2WtvnY0xPimrib/F4dizp8bdcJbFPxZ29YXNTSHyGEKIYE0DNcMfFXPM+80b6+XubP78oqy863vnh0xGHP0yGGT7l0dpls3BKoOOucKvPLOV+QPBuCZyht/fN4zOFrO09gKPjUhYuSBwKJ2Zy5NNkmcaf8pl1Tufq0eTxyeITb9vTzmYuX5NzGC6BLm/28+7VRbn2uj5GIwxVr23nH6fNoskt7zi1V/Fo9q8QZs/nOFeknH4WH7oKLL5/MLp93CWw+G/3b2+GRe7zscyTsBdhidvD5Uf4Cy1d8/mQAzWlbYN589AN3wuhw+nZKoU8eg50PQGs76r0fhzPPnawsaWtH3fQR9Pk70D/7PvqW/xe9fhMcPeiVa19xDeryq8tunKXWboRr/xj98++j77od9bYbyrqffEyzQAfoSBjt80+WsafKeH/qwT70bd+BfXtg6UrUBz6FWrGmqvtaNw0waslrNOYF0akaIfsMuUdZgVfG/btXhxmLOvgtA8fV/NsTJ+kfj/EX25fQ1STLZYQQ1VP/T2tRmSliEtd10DnqsV555SUGBvo568ytWdflClC11rzwVIhwSHPGOUEWLbWqvlYrMzuRyDRnZtBnSwBd7DQnV2v+/YkeesZi/N9vWEJ3s3cgELSNnF23UzX7TIZqVMrd7DO5+rR5/OSFfvb0jOfs8h13NNjFz35++vgY//bESVbP8/NnFy9ONkgrlVVCm2zTdTGUKrrBTK7ybX34APqn34G1G1F/dFPadaqpBXXdB9DnXeKV2MZjsPHMovdPNLhAoODVyudHh8fBdb2s7var0L/6D/Sxw9kbT1yv3nRt3jJqtXYj/NnfwMN3o+/7Faxch3rne1ELFlf+u1x0Gbx+FB74DXrxMtTWiyq/zwmFvy50ehl74tKMGdA6NI7+P/8Dhk+h3nEzXHT57OquXGDk3nRKlHPHUiqYGiH7DN7nb67P6zMWNHHP/iH29Yc5Y2HTxPdSiA9t7Wb9/OovSRBCzG0SQM9gWucus0oVj2dn1/bufZkn//A4y5evZNOmLVnX55rBfGrAYWTI5fQzAyxeVpszubm+oGdrAF3K/Ofb9wzw3Mlx3nd2Fxu7vQMBn2kUlZU1DUWTbTA2xcipcl2xpo37Xx3ithf6Of2yYFYpeWyiTL2Y8u3XhiL8+x+84Pmz25cUnN88FbuUg2onjmVAsX+izHMWzmA/+rtfh/Z5qPd9In1tawq1Yi3q//oSOhFIiZnP9qOKSc35/Mlu22r7VXDOxWQtNLVsaO9ERSPZ12VQlgWXXw07rqpqIzqlFFx7szdL+Sffhq6FqOXTlN2Nx9CxaPra7tTgOdFfoL8X9dH/ilpz2vTs13RqlDQvYFoKrSE+0aijkb52TQWZX5/r5wewDMULPeMMhuLce2CIK9e2s31VcU0nhRCiFHIUN5MV1UAsvXx73/5XeOLJXSxbupw3XLwjK1hOdL/OdOTVKLatahg85748M1jOt38zTdwtbv36ziMj/HbfKS5b3cZlq9uTl/tLWHMesAzsGmU2bNPgXZs6OTIU5fHXRnNuE3V0crxIPiMRb61awDL45AWLKgqeDaWKbiCmHQfQRa+XVqi0EkIdizLyjf8O0Yg3d7Z56jWYEjzPIv7C2eekjLJq1dyCamlL+deO6l6MEWwq/j6hJl3clWWh3vdxaG1Df+fr6OFTVX+MvEJj6Z+LqQF0or/AO987O4NnZTTcZ4Nle2OuVAlLYqZDriogv2WwYX6Ax4+O8r1netnUHeTdZ8yvw94JIeYCyUDPYFMlMF3XTetivf/AXnbv3smSJcu45JJLc2ZyjRxnwENjLj2vx1m13leVZmG55CsPS6zHThxUzYbsM6SPeHqpN8QDrw7lPB/y7IlxNnYFuOnM9JmmU80hztTiM4g5ipjjZb5L7YZdyAXLWrh73yl+9uIA5y5pyQpex2OFg+e4q/nX3Sc4FXb47PYlzAtW9rFUbDAMeA2MyM4q55Ma1+vxMfRttxA/fMBbh7loWQl7KWY8y/YywUVQhom2fflHS6WOsUp07i5y/nEtqJY2+OB/Qf/vL3vVFR/7HMqehjWkrguREAQmloNMzFTK2V9gtmmg7HMq26fI04e0bvJ9/21eEOTF3hALmm0+dv7Chhi7JYSYnRrrdKcoyVQxUGr2+cCr+3j88cdYvHgpO7bnDp4hd4B65GAUpWD5Kl+OW1RHZgfufPs02wJorTU/er6PPT0hToxEs/5t7Arwn89flHbAYCqVVSo9FUMp/JZBi9+kI2jREbBo8ZkErPxNyEq573dt6qR/PM4fjmdnoadaW/wfz/Xxcl+YD27tZm1n8dm3fIrNPgMkjgyL/ZvaxsTSiScfRf/DX8Kep2m+8UOozdm9BEQDMwywK/w885e4rtKX57VtGJCy3lkpVfp914Bashz1nj+BI6+ib/9uzUbiZQmH0YlhxK5bsL/ArNIg658zKaWwanTivFz5PqvPW9bC6d1BPn3hIlp8s+NYQQjRmCQDPZMVuf754MED7Nr1KIsWLWHH9sswC3T6zCyPjsc1x49EWbjEIhCs3Rd8oco10zSTncRnWwB9YCDC0aEo7z+7i0tTSrQLqTTgBa8EzjQUicLSxJrsmKuJu6WP2DpjYRMLmi0ePDjMhctbi77dAweHeODgMG9Z38HFK4q/XSEl/X3cydRKMeugzZPH0L/6Ibz6Cqxci3rnnxPccjahgYEy91ZMK8OEQNBr7OU6+TPCUzGtkjOyyrbRhpn2mgMg0JRdHuvze5nYOmahAdSWc+Gqd3izlhcvhze+eRoeVUNoHJpb0QN9RfUXmBUaNAPdiPJVDHU12fzXS3JPhBBCiGqaxd9Gs1+hAMcr33YIhcbZuev3LFy4iDfuuByrQMlhrvXFx4/EiMdhxZryuiEXY6r1VYmgOd94rZkm7upkVvaBg0MELMUFy4oPHmtRlqYm1g0n+pJprRmOOEU3OjOU4o2r2rhtzwCvDUdY1jb16+WVvhC3PtvHloVNXL+5s5LdT0qcGChaSpWGpRTRfGelImECD96B+dh9EAigbvgQnHtJw61ZFHmYtve8pWSdlWGiTRuc7FnzUyphnXIanx/C42n7lWvslFIK7W+CUO6+AtPqimvgxGveDOqFS1AbsxtPVl0sijs2iv7W//D6C3zkz4vqLzCjzeaTA1WmlPc579RoRKMQQkxFPrFnsEIJwkTn6v7+frTWnHnm1oLBM2Rnd7XWHHk1Qvs8k/Z5tTs7PtV4jERgP9uyz6MRhyeOjbF9ZStBu/hArBoZ6KkopfCZBvHMbFkBl6xs4+cvDfLgwWHee1Z3wW1HIg7/+/ETdDfbfPS8BSWXpOdTyvpn7bppGb68T0F4nNZ/+W+Yg71w/nbU225ANVcnWy6mQXNremfnVD4fhEoMoA2z7FnLk924Jz68g9mj3xKU34+OhLIz1tNMGQa8+0/QvSfRP/xX+NQXqjMyi4nlED/6P/Dy89lXOnEveJ4r/QUatIS7UflNg4h2q9rPQwghiiUB9AzkOA6maU4RQHuZtYGBPgA6502d4ctsINZ3Mk5oXLPu9NqtfYbC658TTNOcNQF0bGKk0++PjBB3NZetLn7MhlKq6IZXlfKZivESYotWv8l5S5t57MgI12+eT6DAjt7xyiBjUZe/2L6kqHFcxSpn/XOCaSgUCp2RhQ48chfmYC+hD32G5hxj30QD8wfzB8/grYMOjZV4n+Wv01eGMdFMLAK+wNRNyAJBGK9/Flr5/PChT6P/19+iv/M1L4guEPwXbc/T8NROOOMcaOtIv84wUWtOmyP9BVRx49BEUtA2CNoGjqu9SQ+uLnnpkRBClEsC6BkoEong9/vROnewoLVOZqAHBgdoa2vHKmLcSWaAeuTVKIGgYsHi2r5MiqmCtSxr1gTQiRLuBw8Osa4zwLL24rNZ5jSOEzENhW0oYiWUyV22up2dR0fZdXSUS/OcGOgZjfHAq0NsX9VaVKl3sZRSZXXgTmUZkNo0XA0N4H/sXqJnXoCxYXMV9rIMgSZAQ2Tq+cAixcR650KUYaAtG+JFnilSRtZIqpL5/d7jTbFv4AWuOhLO+VqdbmpeF3zgk+hv/gP6B/8KH/6zipYwaCfujaZasAT13o9PdiH3Hg3a2iEU8k42zHaz5LutHkxDETQUQbxjn5irCcfckr63hBCiVFIzNANprQmHwnnPtCYabgEMDPTT2Tn1LETDMNICs5Ehh4E+h+WrfFOWWFeqmPufLcGzMxE8v9gTomcszmVris8+w/SUb6fylZjuXtvpZ1mbjwcPDuV9ff7sxQFMQ3Htxuqse06wSj25kGM2S8BM78Yd+N2vQGvCV74Tq17r7y0LFWjyMnSBpuLOOJVCGd795vrn8wNV+L1tX3XupxRNLcW9HuziA2IVCFZ8AktZtrdvxT6PRQTa00Wt3oB65/tg7wvoO39S2Z3tfgR6T6Dedn1G8IzX6M0w505gKdnnqkgsPWoLWLT5LXxSFi+EqBH5dJlhtPZKlBzXJRrN3UE2Ub4dCo0TCo0XFUBnZZ8PRjFMWLqytuXbc60HU2L98wMHh2nxGZy7pLTGONMeQJdSEo13AHPZmjaODEV5dTA7c/TqQJjdx0Z587qOiuc9Z7JLPVjKkdWzTUW7T9FsG1gnj+F7+lEiF1yGO6+rfksUJ5oLKaVQgSC0dkCwpXoH3YGgFxjm+tfU4mUC/UEqCoADTdMbCAaCRc9oxrYp7ndTqArKt9PuqYQO3sr2eU3QGoS64I3whivh4bvRr7xQ1n3ocMjr7L16A2w6O/1Kw5wsk58rjbUk0Ks621S0+k06AhZ++fsKIapMPlVmGDfR9EhDPB5LyzaDF2AnthkY9EbrdM4rJgM9eTAejbiceC3GkuU2tq/+2efZJOZoBkJxnnl9jO0r20pbs8v0B9CGUiUHphcua8VvKR48OJx2udaa2/b00+ozeMv6jpL3xTaNgs3WSvlbaq3zNmdSSuE3FS333Q7+IPHL3o5RxuztqsioDEnsn/L7oaWVirO6pjVlUKgM01vv2tbhBcHFNC1IewwbZZpe8D8dgaA5kbEvkjKMiSB6CoFg/bqu+2s3BaEc6u03Qmc3+s6feM34SqQfvhtGh1FvvzE7ox9MGes1VwIfyUDXjGkoWvwmzSU06hRCiKnIJ8oMkyiLTVTHRqORyaAaL/uc2GZgoB+Azs6pS2VTM9CvHYrhurBidW2zzzA3M9APH/ICyzeW0DwMvGC2FiOspuIvMcgP2gYXL29l92ujjKYMVn72xDiv9IW59vTOkrqOg/e7N9sGTbZJm9/EzDjoNpQq7eRCjvLtVHr/i/DycxhXvJ22jjZa7Tqd6ClwYK0Ms/L1uCU0glKGMVlKXkLZc9o+NjVT21JuBU1ljDsq1GgM0rOi9VCPEvgClGWj3nodvH7UawJWAj18Ch66C848D7VibfqVti9r1FjJJ2xmormSaa+j2TACUwjROObAN9PskhlAa62JRidLZePxycBgcKCf1tY27CkODlPXP2utee1wlPndJs2ttT8rPheOjRIcVxNxXB46NMzmhUEWNJeWjZvu7HOCbaqSDz4uW91GzNU8engE8H73n+7pZ2GzzY5VpZ04AGiyjeTJA9s0aAuYaWV5JTUPg4IBtHZd9J23Qcd8r1SV2szeLspUmalABaXVtt9bj1sipVQJ5dgqLburTLOkoL1kwabs9bTFmCpATc2K1oFSqrgs+XQ68zxYtgp998/QsdzLiXLR9/4S4nEvAE+jJhrmZZgL66Dn2plkIYSY4eRTe4ZJZJtTGzQ5jkMsFpso354MDPoH+umc14lpmgUP/lKzz0MDDpGwZvGy2h+sKWNunRWOu5pnXh9jKOxw2er2km9fr2rGkrO7wLJ2P+s6Azx4cBhXax49MsLxkRjXb+4s+b78poE/o5mZobyyvBaf99outRS+YFfjZ3fDa4dQb3lXSWtVa2KK4EEZRpmZUQXB8tckK9MsLgtt+7LKnpU/AGUE7lOy7LLXKHsBap4TjRlZ0bqxGmAfUijDQF19I5wagN/fV9Rt9MnjsPthuOgyVNfC9CsDgdwnP2Z7ebNR+PtZCCFE45EAeobJzEAnxGLRZBANEA6HGR8fo7OzC9M08RUo9Uxd/3zieBzDgO5F1TnALXRifS6uf37g4DCdQYuzFpWehSs5y1pFpZZxA1y2po2TYzGePTHOz18aYG2nn3OWNJd0H4ZSNPnyv4j8lkG736xaAK3jMfRvb4fFy2HrhaXdZy0UEzz4A5SchU50Oa5EMcFqvs+dpubql58ES3ttZfHlClDzZEXrod4nc3JQ606H089C/+7X6LGp51Xr3/7UOyFx5TXpVxjGRKO6HGZ7efNcyLALIcQsIwH0DDOZgU6/XGtNLKWMbjDRQKyzE6UMLMvCl/MAcTIDrbXm5PEYXQssrCqs+bRshc9v5G1ENteq1o4ORXipN8QbV7WV1ZCqbmXEeN24S82SnLukhRafwb8/eZKhsMONZ8wv+T6afcaUfyvTKK3Bl9Y6fwZ65wMw2Id6+7vr1zAqVREH18owIFBC5rVK63mVZRXOJBtG3gy+Mqpcym2Y5ZVup7JydOPOlxWtA2UYtcncV0i97XqIhNH331FwO/3qXtjzNOqyq1EtGcs4AgVK5Bvk718zsz3DLoQQs1ADHCGKUiTGWE1lYKAPgHmd85OZXtv2YWUcgKWufx7sd4hGNAuXVn6QZtkKy/Lu1zQV/oDKCpgbIT6ZLo6r+d3BIUwFO1a1lnz7UoPEalNKlZwBt03F9pVtROKarYubWT+/tJJhv2XUZo5nPE/2ORxC3/cr2LAZtWFz9R+3VMooPoj3l9AdO9hcvZLRfFlDmLLEW/n8pTUjKyTPycFSKKXS76dQVrReGqGUPINatAzOuwQeux890JtzGz18Cv2rH3oN6La/Kf1Kw/ReC/lIAC2EEKLBzKEQZuZLBM9FxM8MDA7Q0tyC3+dHpRxY+3y+tDXPqf9/8lgMw4TuhZWVzNkpwXOCUl42OpHZVmpurX+OOC6PHx3lzEXNtAfS/76qiBFJ9WoglqrUmdAAV6xtZ1N3kBvPmHqUWipzout2TTix3Je//ByMj6Gu/KPaPG6pSjiwVkoVl1W2fVVd161sO3+JbTEdwitYh52mWuuDUwP6QlnRemnAMm4AddU7wTC95Q8ptOOgf38v+h//Ck4cR117c3awPMW8bqXU7A4y58qoLiGEmEVm+eKi2aWYzHPCwEA/8zrno1T6HFmlFH5/gFAohNZucv2z62pOvh6ne6GFaZV/0GjbquDtLcvLRJcxOnRGe7EnxFDE4byl6es0TUPR4jNxXJ028ilTPdc/JyTKuEt5HXYGLf78kiUlP1azr4aNdfJloPfu8cqKV66rzeOWqtQDa38AImHQ+d5cqjYdsP0BGM9Y/zox+3kqyjDRtg9K6OKcxTC8cvIqULaNVgaYU2RF60QZJtq0858EqhPVPg+94yq4/9foHW9GLV+NPnwA/bPvwfEjXlXHO96L6l6UfeNiZoObVt657TPebD45IIQQs5QE0DNIvvXPmaLRCKOjI6xduz5noy6lFIGAn3A4nMxAD/Y5xKKaRRWUb08VPCcYRnY592y36+gIlqE4a9FkAO03DZp93gkOy1BEHE3MyR381HP9c4JSCt/EftZS0DZKbwpWihwjrLTWsPcFWL+pMdY+Q8kH1kopdCAIobGMKwzw+8EXqMnvpnx+dHg8/axYKSXVlQbQ1e5ObfvqO/N5KnbjBdAA6tK3oXc9iL7jR+gFi71u220dqPd9HLacm/+EWDEnP0wTGu9XrlwpyzSEEEI0DAmgZ5B8HbgzDSQaiM2bn1a+ncowTAKBQPKg5sTxGKYF8xeU95Kwigye56Ko4/Lk8VHOWBAkaHsBc5NtEMgYzdRsG5zKEUAnAuxG4LMUkRomgvymQZNdu4yMjsdzZ2h7XoehQdSGM2r22CUrZ+2nzw+RkBfMGgb4AuAP1L4U2Z8auBcYCZWL7fOC/LyZ8ylUYf1zmjrPfJ6S7YPweOFtDCP/iYVoBKj+STAVCMKbrkX/4odweD9svwr1pmu9y/PeyCiuSdtMXgftC0A0nPu6mfx7CSHEHCYB9AySawZ0LgMD/QB0pjQQyyW1fLvn9RgLFtmYZWb+5Dggv5d7QwyGHK7b1JIs2c4VEJuGImAZhOPpgUSjBM/glZIbSuGWUMZdLMtQNBcYWVUV+bpv733B++/6BmgellBGaadSCh1sBleDzzd9gaDPD+GQFwTnmP1ciFLKK+POF2QUvLGBqnJn6oYOnvFmcGvDLFzS3NSS9++itVtZxr+QCy9FxWKw4QzUkuVTb19s6f1M/YJRBqqpGe06EM+RQpfybSGEmJGkdmgGSQbOU2WgB/ppamqeyDBP/RT398aJx2DhkvLOp8y1hmCl2nlkBFPBOYubaffnDp4TmuzssU1WA71LlVLJsvNqMpR3YqHmr6NC65+7F6E6u2r7+EVTZY9PUrYP5fdP63vSa2I2sWa4nLXD5WaRG7SpVs0V+nv5g4VPKtRwFJYyLdSlby0ueIaiZzwrw6z+3PDpkDhBkG/u+Uw9MSCEEHPcDPxGmruKXQM9ONhPZ2cnQMEMdMLJY3Esu/zybVnClZ/WmsePjbJ5QROdTfaUQU2ivDtVI2WgAXymQUsVg2g1ETxPyzrvHGtHdTwGB16GRhhdlTAT31S+gDeSqIygVll2edm4ao3BmmnylWebFhQqmYbGOulQSvO3mZitnThBoAwTAjka+M3E30kIIYQE0DNJMd2PY7EYw8PDdM7zMmlTZaAdR9NzwivfLibYzkU1WIDXSF7uC9M/HufcpS34i1wj7reMtK7bjRZAgxdEt1YpiG6uddOwCdp1c7d/P7QfYtEGW/8881bXKMOA5tJnnCeVnLlWpQVgs4iyrBwnWVRRM76VYTbI60uVth8zMVub8vpUfn92bwAZYSWEEDOSfHrPEIkZ0N7/599uMNFArLMTpdSUB1P9PXGcOCysoPt2A8Z3DeOxI8OYCi5c3jLlrOdUTT7vYNEsYkZ0vdhVCKIDloF/umrU86x/1ntf8DJBa06bnv0oxgw9sC637BwovYzbnsY13o0oM/seCBY/zquGZdxFM63Snr+GCPpLkeMEQTC1lFt5JzOEEELMODPzKG0OKnb27sBAH5BoIDb103vieAzbp+jsKv+LfCYuTZsOWmt2HR1lY3eQrqbSDlgtQ+G3jIbMPqeqJIi2TYNm3zQeQOZZ/8zePbBqXeFuwdNtDh5YK8MsLbBrpFLkekj9/U27tNdvI/ztSq0emGknlXKcIFCG4a2HhpmZURdCCAFIAD1jFN+Be4BgMEgw2DR1+XZc03cizoLFVvnl29JALK9XB8P0jMW4cFlrWet7m6aptLlS5QTRidtMqxwBtB4dhmOHUY20/hnmZAANlFDGXeKorFlIWfbE2Us1GZSVfNs6KjmAnmEZ6Dy/n7J93utcAmghhJixJICeIYqfAd3PvHnzgakbiPX1xHEcWFRJ+ba8gvJ69PAICnjDyvLWhRpKTV95c4Vs06DNX1wjsGqUfpdKa527hHvfi95/Gy2AnqsH14mZ0FNuN3VDvjnBtr251eW8Xupdxl1iQKyUmlknlgqdIAg21//vL4QQomwz4+hcJDPQhcTjMYaHh5jf6QXQU2WgTxyL4fMr5s2vpHxbDmJz0Vqz8+gIp3cHmV9i+fZMZRmKdr+Jv0CpZTWbj5XEiZNr/pveu8fL3i1dNb37U4hRh79Pg1CqyMxyvi7Uc00giPIHyrttPcu4DaOkWeFJM+nEUoETBEopVDnj3oQQQjQECaBniGLWQA8ODqK1Zl7n1BnocMil72SchUsqy+RIBjq3gwPjHB+JcfGKCroSz0BKKVr8Js05ZjpXe/xVSXKVb2sNe1+A9ZvKO5ivlZmUZauFYpqJNcIa3gZQUROqemZAzTIfe6YE0IbZWJ8pQgghqqohFhU99thjPP/88yxevJj9+/dz+eWXc/bZZ+fdfs+ePfzoRz/iyJEjtLS0cPHFF3PDDTfgK7WL6wySDKALxNEDA/0AdM6bOgP96t4IGli5trK/Wblrp2e7B/b1oYBLVrbVe1fqIjDRAG006uC4ur7BM+Qu3z55HIZP1WZ8lWl5B/vRSHm3ncOUZaMNE1wn9waWLcFJFSjDQFs2xLNno9dcuePHZsp7Y46OVxNCiLmi7p/yv/vd77jtttv453/+ZwKBAP39/XzmM5/hL//yL9m4cWPW9vv37+e2227jzW9+M67r8tBDD/HLX/6SkZERPvaxj9XhN5geyTXQBbYZGOzH7w/Q1NRUcITV2KjD8SMxlq/2EWwq/0C03j1oGtkD+/rZ2B1kXrDub7G6SZR0h+OaoF3nF0uuDtx7X/D+u74G659tH/gDXnBSxPKLNHM9Aw1ek6XweO7r5njzsKqqVwBdbiA8UzLQ5WbYhRBCzAh1PaoNhUJ8//vfZ/v27QQC3jqu+fPns3XrVm655Zact3nwwQf53Oc+xyWXXMKOHTv467/+a1auXMlDDz1EPN+YmhlOaz25BrrQDOiB/uT850IjrA68HMEwYPX6CrPPc3Sd5lReG4pwcGCcN8yx8u1clFJ1D56144DODmL13j2wYDFqomKjqnwTM4qDLaXfdqaN66kFnw98gdz/pHy7eupxMkIZxc+rzrqpCcyA7x3JQAshxKxW1yO1Z599lrGxMTZs2JB2+fr16zl06BBHjhzJus2FF16YDLYBDMNgy5YtOI5DOByu+T7XQ+r653xLoR0nzqmhU1OWbw+fcjh5PM7KtT58/sqefqmizO2xoyMAc279c8PKtf45FoNXX6lN923TTq5NVbbtBX2lkAw0yjBRTc25/8nfp2qUaU7/663SLHKjl3Ero7yu6EIIIWaMuoZABw8eBKCrqyvt8u7ubgAOHDiQdZszzsherxiNRlm6dCktLWVke2aA9A7cuSPo3t5etNZ0Jjtw5z5Lv/+lMLZPsXJt5R1ApYQ7m9aaRw+PsGVx65zpvt3wnBwlqof2QSxam/XPmb0Ygk3FBymqzO7EQpRrupuJVZqdbfTgVLLPQggx69X1k35kxMvUpWaUU38eGhoq6n5eeOEF3vWud+W9/r777uO+++4D4Ctf+UpWwD5dLMsq67Gj0Wgyux6NuDhOehDtOHF+e9cdNDe3sHHjJnw+P4FAADuj1PHk6yH6e4c5+7x5LFjYXv4vMqGpWQ4UMj13bIhDpyL8xbYVdXudiXTuKQOd0ZBq7MgBQqZF57YLUYFgRfdvmRadnZ3Jn432zqwMlJ43D3d4cMr7UpaN0dZR0f6I2in3M7yR6Vgb7khx37XVYLS2oyooHdfhZtzx0SruUW6Z7+tiqWAzRrCpBnskamU2vq+FELVV1wjImjhTm5ktTfxsFXEmd+fOnSxfvpwdO3bk3ebKK6/kyiuvTP7c19dXzu5WrKurq6zHjkajRKPRif93s5ZzPvfc0wwM9HPpG69gfHyc8fFxgsEgRkrWS2vNU4+P4Q8oOhfEGRgYqOh3MQwYD0mmLFU47vKD3a8TsBRXbphft9eZmKRdF3IEru5zT8KqdQyOh2A8VNFjdHZ2Tr6fTBvl5q7+0OEQhKd4LF8AFZ2dvRxmg3I/wxuZ1hqGBincorKKnPwVUsXQ8RiMDldxh3JLe1+XoiWOGsvTAE80pFq/r5csWVKz+xZC1EddI6COjg6ArLXLiZ+nOvvb09PDI488wqc+9ama7F+jSCvhzjjGGRwc4IU9z7F61VqWLl2evDxzDXTviTjDp1zWnubHNCtvwqJkfFWS1prRiMPJ0Si7Xxtlx6o2mn2SnW8IOcZX6ZEhOH4EVYv1zwVG6alA09TrNxu9PFXMOkqp6WvMZlqVj7Jr6DXQqsH3TwghRDXUNYBes2YNAP39/WmXJ84Erlq1Ku9th4eH+dGPfsQnP/nJWT3/GfI3EXNdl527fo/f72fbtvOTl2eOsNJas/+lCE0tBouXV+dASZZpeuKuZijiEHFcHj08QszVvG19R713a07RsRh6aBA9NoIOh9Dx2OR7Jldn/mef8P5bi/XPU5WmNrVQsIuwNMgS9WBN03doFYJLpVTjfgFV4wSBEEKIhlfXb6EtW7bQ2trKvn370i7ft28fa9euzVv2MjY2xve+9z0+9KEP0dQ0udYoV9fu2UDnab394ksvMDg4wHnnXYTfP9kULHOE1etHY4yNuqzb6MeoUuZYEtAQc1yGIw6Oq3G15sGDw6yfH2B1Z2VrakXxtOtCaNQbUxWLerODR4dhaBA9MgyxSPr24RD6vl/BmtNg6crq7oxlT9kATJkmNLeSN4iWEVaiHqYrA12tBlu+yptg1oRUkAghxJxQ16M10zS57rrrePjhh5NrfAcHB3nyySe5/vrrAfjWt77F5z//+eSM53A4zD/90z+xfv169uzZw65du9i1axf33HMP999/f91+l1pJnQGdGkgPDZ3i+eefYcWKVaxYnh4IKKWIRTX9vXEO7ouw/+UIbR0GCxZXr7RMSrghFNfJ5+Sl3hAnx2K8aV3lzdlECcLj4GbPeAbtdd/OuE4/dBeMjaCuvrH6mSK7uIN6ZdvQ0pqjjb2SEU2iLpRhgDkNQXS1Amh/sDHHQEgHbiGEmBPq/mn/tre9Dcuy+OY3v8mKFSs4cOAAn/zkJ9m2bRvgdeIeGhrCcRwMw+CrX/0qe/bsYc+ePVn39YUvfGG6d7/m0rLPE//rui67dj2Kbducu+2Cics0J4/ByJBmbCRGaDyavFmw2WDjlkDVAoZGrZ6bTo6riTmTwdmDB4dp8RlcIrOfp42ORSEamXrDxPbDp+Chu+Cs81Er1lR5b0pbR6osG93cCmMjJLsCSvZK1JPPB6EcI9+qxTCqdoJIKYX2B7wTaI1EAmghhJgTGuLT/qqrruKqq67Ked1nPvOZtJ+/+MUvTscuNYzUBmKJUHrv3pfo6+/l4ot3EAx65cKn+uHgXo3PD+0dBktXWrS1m7R1mNi+6mbaqlUGPpNFUoLnwVCcp18f483rOmiyJQiaDtp1YXystNvc8wtwHdRbrqv+DtlTl29nUpaFbmmDsWEvUy7ZZ1FPtg2VNaQvrNrzpv0BiIbzVKDUQRVPEAghhGhsDRFAi/wy1z+PjI7wzLNPsXTJMlatXJ28fHRYg4KtFymamwOYNcxmNWLl3HTSWhOJTz4vDx8axtVwxZp2aSAzXUJjZM1zK0CfPA67H4Y3XInqWlD9/Slzrq0yTS+IHh2R9c+irpRhok3bW/pQCxXMfs7Fy0IHvc+CKR/bn9UPoeqmowReCCFEQ5AjtgaXGUAfOvgqjuNw/vkXpQVro8PQ1AymqbKaiJXKm2qSPxCc6yXcUcdrGgZeKffDh4Y5Y0GQpe2zuxt8o9CRiNcwrJTb/OY28AdQV15Tgz1SFQUHyjChpW36OiELkU/NJlqo6megwWsmNtUXUqDJ+3Ks9ZlfKd8WQog5Y46HQo0vc4RVX38v7e0dNDU1p20zOuwdg2eOsCqHUmBaKmfpt1LM+SxrJD6Z+XzmxBiDYYfLVrdjSWl7zWnXKS7jlHqbV1+BF59BXXY1qrn6a9SVz1f5e84wUHIALuqtylni1PutxfeGUsoLkPM+rh8VCHrb1bpzt8x/FkKIOUMC6AaXtgba1fT19dLV1Z22TSTsjbttaa08+wyTa5xNU+HzK1KPe+Z6+Xbc1cTcyZMaDx4cZl7Q5MxFTdgSQNfe+BiT3QCmprVG//on0D4Ptr+p/Me1/eAL5DxIVo06UkeIEinDqE2muIZjspTPn7t/gGl5meeEWr5Pbb+cABNCiDlkjodDjS81Az08Mkw0GqFrfnoAPTrs/TeRga5U6l0YhsLnmwyiDck+J///5GiUPT0h3riqDb9lzPnMfK3pWAziJa7PfO5JOPoq6s3vQpWbXfMFUM0tqKZmVGs7tM3zZjn7g16wUausnRD1UOQ4tuJVtsShKMGMLLRhQHNL2meyMs3anBwwjOzHF0IIMavJKdMGl5qB7u3tBcjKQI8Oa5SCphZQVUgRZ96FMhQ+P8Siek5noLXWRJz07LOpYMeqNinfng4lNgHS8Tj6tz+FRctg28XlPaYvgErNYjGRpTN8yaBATpyIWcW2IaQopdKjIMuq+XtE2T60aYETB7wvw5wdsf2B0k/CTSXYXHIHfiGEEDObfOo3MDdjPEdvby+WZdPW1p52+eiwlxAzjOqUcOc61lHKWxM9l48TIo5OVgTEHJffHx5h6+JmOgIWtilBVC1prSFafOMwPTaKvu0W6O9BXX1jeQe4/mBW8CzEbKcMo7ol11XPaOeRWAsdbEblyTQr21fdLpg+f/mVLUIIIWYsyUA3sMwO3H19vXTN70oLkrXWjI1A1yLv52o0EMt3H3M905Zavr372BhjMZfL1rQBSAa61qJRismIadeFJ3+PvvM2CI/D5W+H084o/fH8QZSUZYq5yvaV3Ok+/31Nz3gnZdvoppapexL4At5nQ6UMA4Jygk0IIeYiCaAbWGoGOh6PMzg4wKZNW9K2CY2D40BLmxfAVWOElcgWczTx1OZhrw6xqMVmY+bp8FMAACLzSURBVFcQ01Bzfm14zUWnLt/Wx4+if/Y9OLwfVq1Hvet9qMXLS3+sQBBVqLOvELOd7QOqUMZt2tNa3lxUQz+fH8IhKv7dmlrm/EllIYSYqySAbmCpGei+vj601lnrn8cyGohVPk5HDghySc0+HzkV4cBghPdsme+VtsvfrKa064CTf92iDofQ9/wCHr0Pgk2oGz8M2y4u78DdF5DgWcx5Sim07Su570CWms2VLp8yDLTPV9RJubz8wbxl4kIIIWY/CaAbWGoAnWwgltWBW2MY0NRUnQZiEgtmc7UmmpJ9fuDgMD5T8YYV3kxhKd+usTwHulpreO4J9K/+A0aG4II3ot56HaqppcwHUhAIlr+fQswmvioE0NNUvl0yn7/8ANq05HNCCCHmOAmgG1hqCXdPTw8tLa0EAoG0bUZHvAZiylDJ+c2VmMtdtvMJx93kyYxQzGXX0RHOX9pCs8/r8ioBdI3lONDVvSfQv/gB7N0DS1egPvBJ1Iq1lT1OICDddIVIsGzvC0G7U2+bi2nl7oTdAJRlp3TtLumWXpMyKd0WQog5TQLoBuW6btYIqwULFqVto12vgdjCpd7PVRlhJccFacZjDqHY5PPw2NERIo5ONg8zlcKUALpmdDwGKe8DHYuif3cnPPAbsG3UtTfDRZd5M14roQyvuZAQAkiUcdu5M7Wm5QXYkVD+O2jU7HOCLwCh0RJuoKC5FWXJYZMQQsx18k3QoCKRSDLrOTY2xvj4eFb59viYF1tUs4GYnFmflBk8a6158OAwKzv8rJ7nBVuWjK+qrZSDd33gZfRPboGBXth6Iert70a1dVTncfx+yT4LkcnOKHW2bG/970RwrA0zfxA6XeOryuXzQbjYDPtE8NzoJwWEEEJMCwmgG1A8HsdxnOTPPT09AFkNxEZHvP+2eMlQzAqzcBI7T8oMngH29Yc5Nhzlg1snnwdpIFY7qbOf9fgo+rtfh+YW1Ef/K2rdpuo9kDLAL2sahcikbButDLCsicZZ6YcMyu9HK2A8I4g2zMqrQmpMKYX2+Qtn0b0tJXgWQgiRRgLoBqO1JhpNn7/Z29uLaZp0dMxLu3x0WGOaXj8TwzCkA3eVjEUdwvHsrMSDB4cJ2gYXLJtsUiXrn2soZfazvv/XEA6hPvY51JIyRlMV4g9I5YUQ+bS2F6zOUD6/9y5NDaLtxuu+nYsKNqFN0xtr5Tq5toCWVum4LYQQIo0E0A0mGo2mrX0GLwM9f/78rAzz6PDk+CqjCs1aJIbIHzwPRxyePD7KG1e147e8g0lZ/1xjEx2A9UAfPHo/bHtD9YNnZYBf1j4LkU8xSxuUz49WCsZGAd34659TKJ8ffH50LArhcMrIPAmehRBC5CaL/hqI4zjEYrGsy/r7+7PKt11XMz4KzcnybRlhVanxWO7gGeD3h4eJu3Dp6rbkZbL+uXa060Dcey/ou24HpVBvfkdpd6IMCDQBBZ4nyT4LURXK9kFzCxjGjAw6le1DtbZ5Z6VtH0Zr+4z8PYQQQtSeZKAbSGbpNsDg4CCO49DdvSDt8vFR0BpaWqvTQAxkhFUkrnNe7k40DzutK8DStsnSxIA1x/9gtTTRuEi/dgie3gWXvQ3VMb+0+wg0eWs0fT4YG0vJLE2Q7LMQVaVsn1cSPYMpywbLljXPQggh8pIIoEHEYrG0xmEJeRuIDXv/rVYJ91zvwB1zXFydO4B+4eQ4feNxLlvdnrzMNpSsf66laBStNfrO26CpBXXZ1aXd3vah/F4XYGWYXmYpkNEoTLLPQlRdo85+FkIIIapFAugGkKtxWEJvby9NTU00NzWlXT46rL2JIoEqZZ/neBwRcXIHz+A1D2vzm5yzpDl5mV+yzzWjY1Gvoc/eF2D/i6grr0EFm6a+YYIyINicfXGgyTvjZJhgSPZZCCGEEEKUTqKABhCdyLbl0tPTQ3d3N5lXj45Uu4HY3I2gtdbE8gTQPaMxnj0xzvaVrcmMs6EUPln/XBPacWBsFO26Xva5sxsuury0O2lqztv4SFk2tLZ7We05/JoXQgghhBDlkQC6zrTWWY3DEkKhECMjIyxYsIDU8M5xvAZiLa3ez5XOf4a5vf455uq85ds/e2kA21RcvmayfNtvKQm+akC7LowNAxqeegxeP4p663VZs2cL8vm9ZkYFKKWkOZAQQgghhCjLHA6bGkO+zDN45dsA3d3dpEbQYyPef1vaqtdAbC4v543maR52cDDM7tdGuWpdB/OCk0Gcvwodz0UO46PguuhYFH3Xz2D5ajjzvOJvb+Qu3RZCCCGEEKJaJBKos8yZz6l6e3tRStHV1ZV2eWoDMcMwqpINnasZaK01UTc7gNZa85MX+mn1Gbx1fUfycts0ZPZzDejxseTYKn5/LwwNoq6+MaMUW3nrl/ORsmwhhBBCCFFjMsaqzgploHt6eujs7MSyLCIp84lHRzQ+P/j81Vn/DHN3DXTU0Tmfg+dOjvNKX5ibz+oiaE8GcQFrbv6daklHIhANe/9/4hj6/l/D6Weh1m6c3EgZ0NyCsmyv1NuJQ3zinxP3OmpLWbYQQgghhKgxCaDrLF8G2nVd+vr6WLt2bVaANzacuv65CuXbczT7DF4AnclxNbe90M/CZps3rmpLXm4qhU/Kt6tKx2MQGvP+f2wU/e3/5a1jftf7JzdSBjS3JtdCK8MAwwcTa50LnYQSQgghhBCimiQaqLN8B/9DQ0PEYjEWLFiQtv45HteExqE5uf5ZOnCXS2tNLEf59qNHRjg+EuO6zZ1ps559kn2uKu16HbdBo504+gf/4pVuf+BTqI5Ob6OM4DkXpaSpmxBCCCGEmB4SQNdZvgx0T08P4DUQSw3xxlLWP3sjrKowA3qOvgpylW9H4i6/eGmAtfP8bFuS3pBKmodVWTQC2nv96zt+DPtfQl3/AdTKtd71RQTPQgghhBBCTCeJCOosXwb6+PHjBAIB2tra0i4fG/X+29Jane7bAHM1eZerfPueA0OcCjvccMb8tKymT5qHVV8sDoB+/CF49D7Y8WbUuZd41ykDWtokeBZCCCGEEA1FAug6cl03ZwAdj8c5evQoK1euzCpNHR/T2DbYvuo1EJuLa6DdHOXbw5E4v907yNbFzWzoCqZdJ83DqktrDU4c/epe9M+/DxvOQF19o3dlIniuwnxzIYQQQgghqmkOhk6NI1/2+dixY8TjcVatWjWx3eR1obHJUbdmlQKMubh+NJajfPuOlweJOprrN3emXW4aClvKt6srHkcP9qK/9w3o7Ea99z9PjKxSXrdtCZ6FEEIIIUQDkqigjvKtfz506BB+v5/Fixd7F0zEeVprxsegaSKAlvXP5YtklG8fG47y4MFhdqxqY3GrL+06WftcfToSQn/n6+DEUR/8NCrY5F0RbJZxVEIIIYQQomFJZFBHuQJox3E4cuQIK1asyAqQY1Fv5G2w2WseVo3M8Vxc1utqTcyZ/NuPRx2+8fgJgrbBtRvnZW3vM+fgH6nWXn4ejh9Bvet9qAUTJ4p8AZTfX9/9EkIIIYQQogAJoOsoVwn38ePHicViyfJtbzvvv+PeuFyamqszvgpAzcEIOrV5mKs1//bkSfrGYnzigkW0B9KbVtnSPKzqtNboZ3aBPwBnnOtdaNmopubCNxRCCCGEEKLOJICuo1wZ6EOHDuHz+ViyZEnyMj1Rwx2aCKCDzWBWqax4Di5/JhKf/Lv/9IV+XjgZ4uazujkto3EYgF+yz1WnI2F44Q9w+lko2wbDhKaWeu+WEEIIIYQQU5IAuo4yM9CO43D48GFWrFiR3iAsmYHWWBbYvuploOdacnU85hCf6L796JER7to/xOVr2rh0dVvWtoZSUr5dCy8/B2OjqDPPxWsa1jrRQEwIIYQQQojGJketdaJ1dhfo119/nWg0mla+7W3r/TfRgdswjOrNgJ5DEXTc1YRiXvb5wECY7z7dw8auAO/Z0pVze5+p5mSH8lrTT+/yzgKdtkU6bgshhBBCiBlFAug6yVe+bdt2Wvl2gtaa8dHE+udqBc9VuZsZQWvNaNQBYDAU5xu7TtARsPj4+Yuw8pxE8En37apz4zF47gmvfLulHWX7pr6REEIIIYQQDUIihDrJzD67rsvhw4dZvnw5lmVlbAuxGMSTHbirk7GbS82xxmMujquJOi5f33WCsOPy6YsW0eLP/bf0Zj/Pnb/PtHnlBRgd9sq3A4F6740QQgghhBAlsabeRNRCZgb6xIkTRCKRrPLthEQDsaYWlRVgl6tKcXjDizku4bjLK30hfvBML8dHYnzywkUsa8s/MklmP9eGfuoxsGzYch5qrrwAhRBCCCHErCEBdJ1kZqAPHTqEZVksW7Ys53aJEVbzOgNVKeFWCow5kIF2teb14Sj/8Xwfjx0dZX6TxacvWsRZiwqPTJLmYdWnXRee2Q2nbUG1ddR7d4QQQgghhCiZBNB1kpqBdl2XQ4cO5SzfJqWBmGlBsKlK3bdnUYCotc7Z7MtxNXe8MsCPn+8nEne5ekMHbz9tHn6r8AkImf1cG/rASzA8iNr6HlSVqiiEEEIIIYSYTnIUWyepGeiTJ08SDodzlm9rQClFOAQtrUbVukLPlqlB4zGHcFxjKbBMhWV4/w4MhPnX3Sc4MBDh9O4g7z2ri8WtxTWsktnPtaGf/L13FmjrRfXeFSGEEEIIIcoiAXQdaK3TMtCHDh3CNM2s8m2Pwu/3Mz46TteC6q0ZNWdBkBiJu8mxVDENMVczHnW4/cUBHjw4THvA5BMXLOK8pc24eoo7m6Bk9nNNaK3hqV1w2hkYUr4thBBCCCFmKAmg6yA1+6y15tChQyxbtgzbttO2U0rh9/mIRBTRiKa5tTpp49nQuynmaMZikychtNbsPDrKT17oZyTi8JYNHbzvrG6afd4v67ia+MS/mKtx8kTUMvu5Rg7tg1P9qLe/p957IoQQQgghRNkkgK6D1OxzT08PoVAoZ/m2z+dDKYuxvhhA1QLomb6+13E1Y1EneSLi2HCUHzzbyyt9YdbM8/PZ7Us4Y2F6kzDTUJiGItF3OxL3OnPHMwJp6b5dG+6Tv/fO3Gy7uN67IoQQQgghRNkkgK6DXOXby5cvT9tGKW9clROHsRFv+5bWajUQq8rd1IXWmtGogzMRPP927yA/e3GAgGXwgbO7uXR1G/OCU7+s/ZaB3zKIOS6huCbmuDL7uUa01vCHx+C0LRgtrfXeHSGEEEIIIcomAXQdJDKnifLtJUuW4POlN7gyDK9hmEYzNupimBAIVh7cGQYzukR5LDqZNd55dITb9gywbUkz7zu7mza/SavfLOn3s00D24SYY6ApcqH0DKS1Bl3i76eqVM5+5FXo70G97YbK70sIIYQQQog6kgC6DhIZ6N7eXsbGxti2bVvWNslZz1ozOuLQ3FKdDtwzeXxVKOYScby/3cHBMN9+qpfTugJ89LyFWIYiYBnYZZZge5nnmfu3mdL4GMQiJd5IoU0LLAssG0wTVUb7dv2HR8EwUNJ9WwghhBBCzHASQNdBIgN96NAhDMPIKt8GME1zYluvhLuzqzpP1Uxd4htzXMZjDgCDoThf33WCjoDJx89fhDWxvrnJnqG/XI3pWLSM4BlAgxPz/kVC3iWm5Y2isrx/aor1AFpr9JOPwmlbUK1tZeyDEEIIIYQQjUMC6DrQWqeVb/v9/qxtEhnoaEwTCVenA7dSoGZgAzFXa8aiE+OqHJdvPH6CUMzlr9+4lFa/F8C1+Eor3Z4rtOt62edqceLev+jE/RsGOhZH3/Nz2PUguE7GDgCREOrN76zePgghhBBCCFEnEkBPM9d10VrT39/P6OgoZ599dtY2hmEkA+ixYS8gqUYAPVPLt8ejLs7ESYfvPN3LwcEIn7xgEcvavRMPQdvAmoEnBqZFaAy0O/V2ZdBaw9OPo391KwyfgnMvQXXMz97Q50dd8Maa7IMQQgghhBDTSQLoaZZY/3zo0CGUUqxcuTJrGyNlnWmyA3dL5a2zZ2L5diQ+ue757v1D7Dw6yjtP7+ScJd6YKttQNNkzuK14DelIBGLR2tx37wn0L34Ae/fAkhWoj34WY8PmmjyWEEIIIYQQjUIC6GlWTPl2Yv0zwOiIi2FAsLn6DcTCcRfH1QRtA6MBy59drRmPecHzcyfGuO2Ffs5d2szbT+sAwFSKFr8Ez7lo1/Gyz9W+31gM/cCd8MCdYNmoa2+Gy96G0SzjqYQQQgghxOwnAfQ0c12XgYEBhoeH2bJlS85tEhlorTWjIy5NVejAbWbEmVprwjGvNDriaIKWQcCq0tiiKhmLuoRiDnfuHeS3e0+xvN3Hh89ZgJoYr9TiNxsy8G8IY2NQ5bFc+uXn0L/4IfT3wNYLUW9/N2peFzS1VPVxhBBCCCGEaFQSQE+zRPZZKcWKFSuyrldKZZRwO3R0Vp5lzcw+Rx2NkzKPejzmEIkrgrZB33icU6E4yzv8tNUpwxuJu+x+bYRbn+ujbzzORctbePeWLvyW97dp8cm653x0OOR1zq7W/Z3qR//qR/D8k9C9CPWR/4pavwlQ0NTSUCddhBBCCCGEqCUJoKeZ4zgcOnSIRYsWEQwGs643jMlscyymCYc0za1VCKAz1j+HYtmNpUJxhx8938fd+0/hTiQv5wVMlnf4WdHuZ2WHn6VtPha12HQGrZoFTq+PRPn3J07y1OtjLG61+YtLlrCxe/JvFbQNfDNxQTegHWfqjSp6ABfCoerclROHR+5F3/tL0Br11utgx5tRlu1tEAiiMksbhBBCCCGEmMUkgJ5mg4ODDA0NsWnTppzXp2afR4cmOnC3VBYsGgZpwW4k7iazzwl7+0J8++leTo7GuGx1G9tXtnF0OMLhU1GODkW4d/8pIs7kbXymYmGLzaIWH4tavYC6GgnhobDDr18ZBOCGzZ28aV1HWqbZZxoztmmYjoRrsi55ysd1XXjuCRgaLOFGE/ObTx6DTWejrr0Z1dk1eb1lowLZJ4CEEEIIIYSYzSSAnkau63Lw4EGAnN23Ib2B2EiiA3eFI6xMKz2yDcUns8/huMvtewb43atDdDZZ/MUlS3jDyjYAti2dXNvqak3vWIxjw1FeH4lxcjTKidEYJ0ZiPHdiLC24rtS5S5u5+cxuOoKWNyppgmUoWnwzOPMcGp/+xz36Kvpn34fXDpV+43nzUR/8NGrz1owrFDQ1V2P3hBBCCCGEmFEkgJ5Grusmy7ebmppybpPWgXvYRSkINpcfNCoFZsr656jjdd4GeLFnnO883Uv/eJzL17Rz3eZOFjTbOe/HUIqFLT4WtviyrtNapwXllTCUImBN/r5xV3v/HK9b+Ixdbzte/aZehejxMfRdt8OuB6G1HXXzx2DjmaXdic+Pyqz9Bwg2o4yZWQUghBBCCCFEJSSAnkY9PT0MDg5y4YUX5rw+df0zwOiwQ1OLgVFBbbSVmX2eWPt874FT/Oi5fha02Hx2+xI2dAWxTQO7jLXFStVuFrNlKK+Eewa/UnV4vKpNvQo+ltbwh8fQv/4xjI/CJW9CXfWO6pVb2z5UjtFrQgghhBBCzAUNE5Y89thjPP/88yxevJj9+/dz+eWXc/bZZ+fd/sSJE9x+++0sX76cnp4empubufHGG9MyuI3mpZdeAvKXbxsZ2b7RYZfW9gqzzykBdMxxiTouP36+n3sPDLF1cRMfOXdhsrN10JqZ5dGNTMfjEA6jY1F48C700Vdr+4DDg3DsCKxYi/rTP0ctze70XjZlQFBKt4UQQgghxNzVEAH07373O2677Tb++Z//mUAgQH9/P5/5zGf4y7/8SzZu3Ji1fX9/P1/84hf50z/9U84991wAvvrVr/Ktb32Lj3zkI9O9+0V7+eWXWbBgAc3NuYOQ1ODfiWvGx1wWLS3/Kcpc+3wqFOdfdnvdra9c2857tsxPzlH2mQa2OUPLoxuU1hrGR9EvPePNTx7ohUXLsodyV5Npoa7/IJy3PXf5dSWamqt/n0IIIYQQQswgdQ+gQ6EQ3//+93nTm95EIBAAYP78+WzdupVbbrmFf/iHf8i6zW233QbAtm3bkpe9+c1v5u///u+56qqrWLVq1bTseylOnTrFyZMnOf/88/Nuk9aBe6KBWCUjrFLjtL6xKP/94WMcHIxw05b5vGldR9q2TbYERtWmjx9F//QWeOEpWLAY9dG/QK07vd67VR7bj7Kz178LIYQQQggxl9Q9gH722WcZGxtjw4YNaZevX7+exx57jCNHjrBixWQZquu67Ny5ky1btqStF16/fj1aax5++OGGDKD3798PkHfflFIZDcS8EVblduC2LJX8+xwbjvKl3x1lMBTn4xcsZNuSlrRt/ZaBWY0ZVALwyrZHf/pd9E++DYB66/UT85Pr/nYrj2FAMHfTOyGEEEIIIeaSuh/RJ8Y6dXV1pV3e3d0NwIEDB9IC6JMnTxIKhbK2b25uJhgMcuDAgRrvcXke3/0StjWfxx70AdE8W0WS/2egUMCn7n6RSvtbx5RFsxPmb1/+IRsefS3regU4SABdNa7DWCwKm7eirv1j1LyuqW/TyIItUrothBBCCCEEDRBAj4yMACTLtxMSPw8NDRW1feKyzO0B7rvvPu677z4AvvKVr7BkyZLKd7xEX/67z5Z1u//M5iruxTVVvC8hREI9PlNEfchzPXfIcz13yHMthChF3dNK1kRZa+Z838TPVkbZa77twVtDnLk9wJVXXslXvvIVvvKVr1Rln8v1uc99rq6PL6aPPNdzhzzXc4c813OHPNdzhzzXQohS1T2A7ujoACAcDqddnvi5s7OzqO0Tl2VuL4QQQgghhBBCVEPdA+g1a9YA3miqVH19fUB2062Ojg7mzZuXtX0oFGJsbKwhG4gJIYQQQgghhJj56h5Ab9myhdbWVvbt25d2+b59+1i7dm3WuhTDMLjwwguTXa1TtwfYsWNHbXe4AldeeWW9d0FME3mu5w55rucOea7nDnmu5w55roUQpap7AG2aJtdddx0PP/ww0ajXnXpwcJAnn3yS66+/HoBvfetbfP7znycejwNwzTXXMD4+ztNPP528n3vuuYcLL7yQZcuWTf8vUST5kJ475LmeO+S5njvkuZ475LmeO+S5FkKUSmmtdb13ArwA+JVXXmHFihUcOHCASy65hPPPPx+A//k//ycHDx7kn/7pn/D7/QAcPnyY22+/nVWrVnHq1Cksy+Kmm27Ctu16/hpCCCGEEEIIIWaphgmghRBCiEYSj8d59dVX6e/v58ILL8w5/UEIIYQQc4sE0NPgscce4/nnn2fx4sXs37+fyy+/nLPPPrveuyUqEI/H+eUvf8lDDz3E4OAgS5cu5YYbbmDbtm3JbZ5//nkefvhhli9fzsGDB9m6dWtDr9EXxfnJT35Cb28vn/jEJ5KXyXt8dhkcHOS2227j5MmTXHPNNWzevDlZ3STv69nBdV1+/etfc+rUKZqamjh27Binn346V111Vdp28t6emU6dOsWvf/1r5s2bx9VXX512XTHvYXnehRAFaVFT999/v/7Yxz6mQ6GQ1lrrvr4+/f73v1+/9NJLdd4zUYlvf/vb+rvf/a7etWuXvuOOO/Sf/Mmf6BtvvFHv2bNHa631M888o9///vfr/v5+rbXWoVBIf+QjH9G///3v67nbokL79u3TN910k/7GN76RvEze47PL/v379Z/+6Z/qW2+9VTuOk3advK9njx//+Mf6q1/9avLnWCymP/nJT+qdO3cmL5P39sz01FNP6a997Wv6hhtu0D/+8Y/TrivmPSzPuxBiKnVvIjabhUIhvv/977N9+3YCgQAA8+fPZ+vWrdxyyy113jtRroGBAXw+H+9///u54IILePvb385nP/tZtNY88MADuK7LLbfcwjnnnJOcSx4IBNixYwff+c53iMVidf4NRDkikQh33XUX69atS14m7/HZpa+vj7//+7/njDPO4KabbsIwJr8i5X09uzzxxBMsXLgw+bNlWaxZs4Y9e/YA8t6eybZu3coNN9yQdXkx72F53oUQxZAAuoaeffZZxsbG2LBhQ9rl69ev59ChQxw5cqROeyYqMTQ0xLXXXpt22bp162hpaWFsbIyDBw/y+uuvs379+rRt1q9fz9DQEM8999x07q6okh//+Mdcd911aUGVvMdnl1tvvZXR0VFuvvnmrOvkfT27tLW1sWvXLkZHRwHQWnP48GHWrFkDyHt7pkv9nE4o5j0sz7sQohgSQNfQwYMHAejq6kq7vLu7G4ADBw5M+z6Jyq1evZrm5uasy2OxGKeddpo877PQ008/zaJFi1i8eHHa5fJczx7j4+Ps3LmTrq4ufvnLX/LFL36RD37wg3zlK1+hp6dHnutZ5t3vfjfDw8N88YtfZP/+/XzrW9/i4osv5tJLLwXkvT0bFfOcyvMuhCiGBNA1NDIyApAsA0pI/Dw0NDTt+yRqY+/evfj9fq644ork8x4MBtO2STzvp06dmu7dExUYGRlh586dWc2FEteBvMdng/379+M4DkuXLuXmm2/mb/7mb/iHf/gHjh49yle/+tXk+1be17PDhg0b+PznP8+pU6f4q7/6K8LhMNddd12y07q8t2efYr6b5XkXQhRDAugasiwLIGv0SeLnxPVi5vv5z3/ORz/6UVpaWpLdeuV5nx1uvfVW3vOe9+S8Tt7js8fw8DAAV1xxBX6/H4AFCxZw7bXXcvTo0eR28lzPHidPnuS8887j9NNP5+GHH+bv/u7vCIfDgLy3Z6NivpvleRdCFEMC6Brq6OgASH4hJyR+TjSxEDPbXXfdxZYtWzjvvPMAed5nkwcffJAzzjgj73Mmz/Xs0dLSAmSvnUysiU1cLs/17HDPPfdw//3385GPfIQvfelLXH/99ezZs4dbb70VkPf2bFTMcyrPuxCiGHIqrYYSB179/f2sXLkyeXlfXx8Aq1atqsduiSravXs3oVCId77zncnLVq9eDUw+zwnyvM88Dz30EPv37+ff/u3fkpdFo1FeeeUVdu3alXze5T0+8y1ZsgTILtFsampK+6+8r2eH22+/nWuvvTZ5YuTGG2/k2LFjPPbYY/yn//Sf5Pt7Firlu1medyFEIRJA19CWLVtobW1l3759nHPOOcnL9+3bx9q1a5MHbGJmevbZZzly5AjXX3992uXxeJyVK1eyf//+tMv37dtHR0cHZ5555nTupqjApz71KaLRaNplX/va1+js7OS9730vwWCQO++8U97js8CCBQvYsGEDL7zwAldccUXy8oGBAQBOP/10eV/PIvF4HNd10y7btGkTL774IiDf37PR0qVLp3wPa63leRdCTElKuGvINE2uu+46Hn744eRB+ODgIE8++WRW0CVmlpdeeomf/vSnLFu2jF27drFr1y527tzJd77zHQYHB7nhhht44oknko2FwuEwDz/8MO9617tyjtcQjamzs5NFixal/fP5fASDQRYtWkR7e7u8x2eRG264gSeffJKTJ08mL3vooYe45JJLWLlypbyvZ5Ht27ezc+fOtCB63759bN++HZDv75kuHo8D3niyVFO9h+V5F0IUQ+nMTxdRdffccw+vvPIKK1as4MCBA1xyySWcf/759d4tUaZDhw7xxS9+kVAolHVdd3c3X//61zEMIxlYr169msOHD7Np0yauvPLKOuyxqKYvfelLdHd384lPfCJ5mbzHZ4/du3dz7733snr1asbHxwkEArz73e9ONiCS9/XsEI/H+cUvfsHhw4dZunQp4XCY1tZWrr322rRGUfLennmef/557r77bnbv3s3SpUu57rrrOOecc5LLMIp5D8vzLoQoRAJoIYQQQgghhBCiCFJzJoQQQgghhBBCFEECaCGEEEIIIYQQoggSQAshhBBCCCGEEEWQAFoIIYQQQgghhCiCBNBCCCGEEEIIIUQRJIAWQgghhBBCCCGKIAG0EEIIIYQQQghRBAmghRBCCCGEEEKIIkgALYQQQgghhBBCFOH/B5fCb/Kr5tiaAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/val_demos/\"]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 607, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '5', '25'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run10\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run12\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "#############################################################\n", + "\n", + "vary = [\"target_percentage\", \"ce_weight\"]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 608, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '5', '25'}}\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#############################################################\n", + "\n", + "vary = [\"target_percentage\", \"ce_weight\"]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " # ['Success Rate'],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " [\"target-Classifier Accuracy\"],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 611, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'10', '25', '100', '5', '50'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run1\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run2\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run3\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " # ['Success Rate'],\n", + " [\"target-BC Loss\"],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " # ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'25', '5', '10'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run35\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/run36\",\n", + "]\n", + "\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "filter_func = lambda e: e[\"params\"][\"action_key\"] == \"noisy_actions\"\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'25', '5', '50', '10'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/val_demos/reconrun2\"]\n", + "\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "filter_func = lambda e: e[\"params\"][\"action_key\"] == \"noisy_actions\"\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " # ['Success Rate'],\n", + " [\"test-Recon Loss\"],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['target-BC Loss'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " # ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'25.0'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/val_demos/new_env/run4\"]\n", + "\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "filter_func = lambda e: e[\"params\"][\"action_key\"] == \"actions\"\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['env-final-obj_goal_distance'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': ['5', '10', '25']}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Basic Experiment\n", + "# Note: Horizon=75\n", + "\n", + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/new_env/run5\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/new_env/run6\",\n", + "]\n", + "\n", + "# exps = plot.load_exps(dirs, suppress_output=True)\n", + "filter_func = lambda e: e[\"params\"][\"action_key\"] == \"actions\"\n", + "exps = plot.load_exps(dirs, filter_fn=filter_func, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " # ['target-BC Loss'],\n", + " # ['env-picked_up'],\n", + " # ['test-BC Loss'],\n", + " # ['env-final-obj_goal_distance'],\n", + " # ['target-Classifier Accuracy'],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + " split_order={\"target_traj_limit\": [\"5\", \"10\", \"25\"]},\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': ['5', '10', '25']}\n" + ] + }, + { + "data": { + "image/png": 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nn39q0aJF6tOnT479Oev81VdfWWU+Pj6qXr26JKlr165q3ry5QkND9fnnn+vVV19VRkaGnnvuOd14441q1aqVy/66d++usWPH6vnnn1fdunUleX49df6/SFKXLl1ctnG2aU8eFve0zXz99ddKSUnJ9e/Ftm3bdPr0aat89erV+vnnn3OcXx8fH7Vv315S8f29gP0U7kDGQBFq06aN9u/fr0qVKlllCQkJVn/n8/s7Sv8bPrBSpUpWgLnQ/v37JSnHCAJNmzaVJKuPqdPy5cvl4+OT4w+M8zhly5Z16f9a1Jyv+cLA4DR9+nSNGDFCderUscp+/PFH64HHC8/h+fu0q+Dg4IsuS0lJ8cqxXn31Vb366qte2Zc7N9xwgyZNmqQRI0ZYfek9VbVqVQ0cOFAffPCBfvjhB/34449q166d0tPT9dFHH2nGjBm5blsY77Hw8HANHDhQs2fP1ltvveUy7vxnn32Wa196Tz3zzDPq06ePS9vesWOH9WEtt7rn9l6R8r4+LFiwwOX6kJycrJ9++knh4eHq3Lmzy/rZ2dnWJFgnT5707IV5wMfn3D26MmXK5HjfBgcHa9CgQXrrrbe0detWSdKKFStkjNE777yjTz75xGX9lJQUq87JycnWB9y8ztuGDRt09OhRtx/AHA5Hjg+h3ryeli5dWtK5OQby64477tC+ffusDyGSrMnbpJxtJrf20KhRI/n7++vs2bM6fvy4VZfly5dLOjdZ2T//+U+XbY4dO6ZatWoV+nwTuHzQEnBFcf6RWLlypT7++GNVrVrVujtiCjA0mvOO9O7du13KnXdYIiIiXMr37t2rkJAQffvttx4fyw58fX1Vp04dpaSk6IMPPtD69evVo0cPhYSEKDY29oodXu5yel2DBg3SyJEjrQcsC2L06NGaM2eOsrOzNXXqVH355ZeaP3++fHx8dOedd+a5rbffY5I0cuRIffDBB1q7dq1+++03NW3aVKdPn9ayZcv0+uuvF2if7tStW1dnzpxRVFSUli1bpvbt26ty5coFrntoaKgSEhK0e/duXX/99Va5u+tDTEyMjDGKjIzUp59+eomvpHBcc801kv73AdY54s7UqVN10003XfL+nR+O8vvtVWFcTz39f65du7aysrK0cOFCLViwQFdffbV1B/3CfeX298LhcKhSpUpKTk52+bDrPL/z5s2zvnECckOXGFxRtm/frjZt2ujtt9/W9OnTNW3aNDVq1KjA+3Pe7fvyyy+Vnp5ulcfHx0s6dwfmfBkZGUpOTi7SYQe9bebMmapfv758fX315Zdf6rHHHlOZMmWKu1r4/ypWrKjQ0NBLmn20YcOG6tu3r6RzXRp2796tmTNn6sEHH8z1TriTt99j0rk7kL1795Yk6w7/0qVL1aZNmxwfii/F4sWLVbduXcXGxmrBggV69tlnra4VBeG8Pji7xjjFx8fL4XBY51iSNfpKYmJigY9X2JxdQJyB2tt1Tk1NlaR8D1Fqh+vpt99+qyZNmmjlypX66KOPNHHiRJc77ufr2bOn/Pz8FBsbq02bNlnlp06dUmJiom655RaXbjuXQ5uAfRDYccX49ddf1b59e6Wlpenzzz/3yjTTd999t4YOHark5GQNGzZMGRkZOnXqlF555RX16tVLjz76qMv64eHhSk9Pd7lYX+jQoUO2Ha7r+eef1xNPPKEnn3xSw4cPt75CR/6MHTtWjRs3LtDPxYYtdDLGKD093ep/X1DPPfecpHPdMYYMGaJffvlF//jHP/LcpjDeY06jR4+WJH3yySc6duyYPvvsM91///1e2//777+v/v37q0ePHnrllVcu+sEkP1577TW1atVKK1assPp979u3T3PmzNGkSZPUvHlza13ntxCbN292+fB/oe3btxdbQHV25XD2dXfW+WLdr/773//ma//Obx6io6Pz7MriDLDFfT1dsWKFunXrpho1aujDDz9UuXLl8ly/Ro0aev/99+Xn56fHH39cR44ckTFGEyZMUI0aNfTWW2+5rJ+f85uZmVngoVxxZeGvMS4rzgDp7g/a+PHjlZaWpr59+yowMNAqv9TuDu+//7569OhhhZVevXqpX79++uqrr+Tv7++ybtu2bSWdC77u6njq1Cndf//91l2WvF5PQVzK/v7++2+r+8Hdd9/tsuxy6jJS2PI6xwkJCfrzzz8L9JOQkJCv4//0009KSUnRvffee0mvo02bNtaDeRs3btTNN99sPeyXm8J6j0nnHmJs27atTp8+rTfffFPffvttjm+wLia3/5vMzEyNGTNGknfbdvny5bVq1SrVrVtXs2bNUtu2bfX444/ro48+0gsvvOCybr169RQWFqbjx4/n+pzDn3/+qXHjxlmvw9vXh4v5888/Jf3vHDmvZx9//LHbB7Olc91lnH26L6Zjx46Szr1P/vWvf7ld55133rHGRvf0eloQeZ3jZ599VllZWbrrrrtc+vzn1WaGDBmiCRMmKDU1VT169FDHjh2VnZ2tX375JcedeefrmzZtmo4cOeJ2f0899ZTbOTBQ8hDYcVlxfn2dlJSkrKwsSf+70MbGxkpSjglLnHcnLpwQxLldXnd6kpOT1bt3b40ZM0abN2/Wli1b9O2332rYsGHy9fXNsb7zjvu6devUv39/l37G//3vf9W5c2f16NHD6s7gfD1///13jnoVRF7n5/x/u3vN8fHxVvn55zAzM9Pqk5nb7Jjecv7+nfU/n/Mhrwvrn9f/4fn7uXBSlvO3u/CPcG7Hyuscz507V+bccLke/8ydO1fSuZFCpk6dqg8++MCa7On8Oo0ePVo33nijhg4dmutrzi9niJWUr5lNC+M9dr5Ro0ZJOjehTffu3S96R/NCub2fkpOTlZyc7LbuO3fuLHDd//vf/2rgwIFau3atNm3apJ9++kkrVqxQjx49cqzrcDj0yCOPSJImTZqkiRMnWg+YGmP01VdfqUuXLi7ftHj7+uDkbnKizMxMzZkzR9dcc431zUaPHj1Uu3Ztpaen66abbtLq1aut98nx48f13HPP6d///rcGDRqUo37uzlvjxo2tc/Pcc8/plVdesbrJpKWl6Z///Kc2bdpkPZTr6fU0r3OT27Urr3NckPb+7LPPyt/fX7///ru2bt2q77//Xq+//rrbfvv33HOPypUrp6NHj6pr164ukzElJCRo0KBBiouLU9euXXN9XShBCn3gSMCL0tPTrYlWJk2aZNatW2cefvhhk5mZaYYMGWIkmXLlypn58+ebLVu2mIkTJ1oT7pQpU8asX7/eGrf39ddfN5KMr6+viY2NdXu80aNH5zpudnBwsOnatavZsWOHyzZPPvmktY7D4TA1a9a0Js645557XMaaPnTokPHz8zOSzIcffmhWrFiRY2x3b52fAwcOWJMBTZgwIce2J06csMY579Spk9m4caNZs2aNeeCBB6wJkm699Vazbt06s3PnTmu7WrVqeW0c9pUrV1rn7ssvv3RZdvjwYWsym9dee81l2ZYtW6zt1q5d67Lszz//tJZFRUW5LFuwYIG1zDkuuDHnxkFu3ry5kWR69erlMpFLXufYGzZs2GDVqVatWuaLL74wGRkZJjY21vTs2dP07t3bnDx50ivHMsaYli1bmho1auSr/oXxHjtfZmam1Z4uHCM+PzZv3myNM75kyRKzcOFCa06BOnXqGOncBGBr164133//vXnkkUesCcWuvfZa88MPP5iff/7ZZGVlWePwN27c2Bp3/UJt2rTJ9foQFhZmBg0aZJKSkqz1T506ZY1fLp2bBKtOnTomODjYOBwO83//938u+1+0aJG1rzVr1pjZs2eb9957z+Pz4uScQ0CSGTNmjElLSzPGnJuM6JFHHjE1atTIMRnQhg0bXCbuCgkJMTVr1jR+fn6mevXqLvMBpKSkmKpVq7od797pr7/+MrVr17b25+/vb6pWrWr8/PxMmzZtTEpKisv6nlxP4+LirHW3bt3qsh/nWPdly5Z1aet5XYO7dOliJJnq1aubZcuWmZ9//tmMGjXKdOrUyUgyNWrUMBs3brSuOV9//XWu7cHf3980a9Ysx3VtwYIF1nVNkgkPDzfVqlUzPj4+pmnTpubo0aP5+a9FCUBgx2Vn8eLFplq1aqZ8+fLmgQcesCYaSUxMNP379zflypUz5cuXNz179jTr1q0zJ0+eNO3btzdly5Y1Xbt2NRs2bDCNGzd2uZgGBgaaa6+91uWPqzHnZrq75ZZbTJcuXUyTJk1MSEiINVGQ86d69erWrIVOc+bMMddee60pXbq0CQoKMu3atTNz5851O7PkjBkzTFhYmAkNDTVPP/20OXXqlNfPz/Dhw3PUu1GjRjkCbHR0tGnevLkpVaqUqVWrlnnqqadMQkKCWb16tQkLCzMRERHmmWeecamjtwJ7mzZtXP5w+fv7m9atW5vU1FTToUMH68OE8+eaa64xhw4dMvfdd59LoAgKCjI33XSTMebc5DfOmRadwbFNmzbGGGPuuusul+OVK1fODBkyxDz99NOmevXqLseqVauWy0yEubVBb8jKyjKvvPKKadKkiSldurQJCAgwdevWNXfddVeOWRq9Yf78+WbSpEn5Wrcw3mMXGjt2rAkJCXGZVdcTY8aMMRUqVDDVqlUzEydOtMLZ1q1bTbt27Uzp0qVN1apVzZAhQ8zevXvN9u3brRA4ePBgs3jxYit0On8qVapkBgwYkONYu3btMldffbXp3r27qVu3rilfvrw1uZXz5/bbb3fZ5uTJk2bcuHGmfv36xt/f31SsWNH07t3bZTZUp7Nnz5rBgweb4OBgU69ePTNz5swCnROn8yf9mjlzpmnbtq3p1KmTufbaa83w4cNzbcfbt283/fr1M5UqVTL+/v6mTp06ZsSIES7rT5061Zo52flTu3ZtM3Xq1Bz7O3LkiHniiSdMtWrVjL+/v6lXr56ZMGGCOX36tNvj5+d6umLFCtO2bVvr2OfPzvrGG29YIV+S6d27t9m8ebO1bW7X4NjYWHPTTTeZMmXKmEqVKpk777zTbN261Rw8eNA0adLEVKhQwfTt29fs37/fGHPuA+f48eNNy5YtTevWrU1YWJgJCgoyPj4+Lteg849tjDHfffed6dGjhylfvrwJCAgwjRs3Ni+//LL1gQowxhiHMfbonHr8+HEtW7ZMFStW1C233HLRdRcuXKjw8HClpKTozJkzGjhwoEufSsAbPv30U3366ac5JnQxxigtLU2//fabHnroIU2fPt0rw55djmrXrq39+/fr+++/1w033FDc1cFl7tFHH5XD4dC7775b3FW5qGHDhqlatWo5Hhh2dsP59ttvNXToUB06dMgae7s4ffvtt+rSpYtq1aqluLi44q7OFWf79u164IEH9O233+aY5C09PV379+/XuHHj1KBBgwJPfIaSyxZ92H/99VdFRUXpq6++ytFX7EKnT5/WpEmTVL16dfXp00cPPPCAfH19NW3atCKqLUqK9evXa9CgQXr++edzLHM4HAoODlbbtm316KOPFupkJ3bn/Myf2yykQH5lZmZqyZIlGjx4cHFX5aImT56sefPmacSIETmW+fj4qFKlSurXr58iIyNdZrfEleno0aPq0aOHBgwY4PZaGBgYqEaNGmn8+PEl+u8FCs4WEye1bNlSVatWtWbLy8vy5cuVkJCgyMhIq+zmm2/WiBEjtHnzZrVp06Ywq4oSZOLEicrMzFSLFi3yXO/IkSOXPGLHhS6cCTE/imuypoyMDPn7+6t+/fqSzj146XyAMr8GDx58WYQ0FK4PP/xQERERLpMQ2VFGRoYmT56spk2bXvSb3cqVK1/SWO8X2rZtm55++mmPtmnRokWuo7LAO9577z0lJCRc9O9FXFycevbsWTSVwhXFFoFdUr7He/7hhx9Uo0YNl4tktWrVVKZMGW3YsIHADq9xjkn81Vdf5RgKzmnDhg1q1KiRy+x13mDXmVLT0tI0b9489enTR1WrVpUxRsnJyerVq5c1rjXhG/k1f/58LV68WF27dlWVKlU0atQozZs3r7irdVFpaWk6c+aMfvvtN8XGxuY6HOZ7772nhx9+2KvHbtGiRYGvD85RjQp7tKeS6Py/F7169XK7zoEDB/Trr79q/PjxRVk1XCFsE9jz4+zZszp48KBat26dY1loaKhiYmKKoVa4Ur344ou666679MADDyg6Olp9+/ZVtWrVlJqaqri4OK1YsUK33367Vyd3sbtFixbp8ccf15tvvql169YpPj5e/v7+mjx5cnFXDZehyZMn6/fff9cXX3whSerTp4/L7KB2VbFiRT399NOaNm2arrvuOj3++OPq3LmzQkNDdeTIEe3atUvfffedxowZY01CZAfOCY6OHDmi+Ph41axZs5hrdOUYNmyY/v3vf2vWrFmKjY3Vgw8+qPr16ys7O1sHDhzQ6tWrFRER4baLJZAfl1VgP3nypIwxbh/eCQwM1KFDh4qhVrhS3XHHHdqyZYumT5+utWvX6pNPPlFQUJAaN26sW265RW+//bbX76zb3W233abbbrtNa9asUcuWLdW+fXtt2LBBV199dXFXDZehESNGWDOc3nfffdbEXZeDN998U126dNHMmTP14YcfasqUKQoJCVGrVq3Uv39/ffLJJzkmVisuaWlpuvHGG/Xrr79KOnenvWnTpmrSpInmz5+vOnXqFHMNL3/16tXT9u3b9fbbb2vJkiUaOnSoHA6HatWqpcjISA0fPlyNGzcu7mriMmabUWKOHDmiYcOG6c4779SAAQPcrnPy5Ek9+OCDuvHGGzVs2DCXZePHj9f+/fv18ccf59guOjpa0dHRks5NyAEAAABcLi6rO+zBwcHy8/NTenp6jmXp6em5PtjTrVs3devWzfqdO/G4UGhoqBITE4u7GrAZ2gXcoV3AHdoF3ImIiPDKfmwxrKMn6tSpo6SkpBzlSUlJqlWrVjHUCAAAACg8l11gb9euneLj43XmzBmrLCEhQampqbrxxhuLsWYAAACA99kmsGdmZkr63yQsTkuWLNHIkSOVkpIiSYqMjFSFChW0fv16a51vvvlGDRo0uOj4pwAAAMDlxhZ92Hfs2KFVq1ZJkn766SdVq1ZNrVq1UlBQkFJTU3XixAlr3NigoCBNmDBBn3zyiVV+6tQpPf/88/keyx0AAAC4XNhmlJiixEOnuBAPC8Ed2gXcoV3AHdoF3CmxD50CAAAAJQmBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABszK+4KyBJGzdu1I4dO1SlShXFxMQoMjJSLVq0yHX9+Ph4LV++XFWqVFFaWpqOHj2qe++9V+Hh4UVXaQAAAKAIFPsd9rVr1yoqKkqDBg3S7bffrkGDBmn69OnatWuX2/VTUlI0YcIE3XzzzerTp4/uu+8+XXPNNXrttdeKuOYAAABA4SvWwH769GlFRUWpY8eOCgwMlCRVqlRJLVu21Jw5c9xus2vXLqWmpqpy5cpWWYMGDfTXX38pJSWlSOoNAAAAFJViDezbtm1TWlqaGjZs6FLeoEEDxcXFKT4+Psc25cqVkyRFR0dbZXFxcQoLC1PZsmULt8IAAABAESvWPuxxcXGSpNDQUJfysLAwSVJMTIxq1qzpsqxx48Zq06aN/v3vfysjI0NNmjTR2rVrNXbsWDkcjiKpNwAAAFBUijWwp6amSpLVHcbJ+fuJEyfcbjdixAi9++67WrhwoQIDA/Xyyy+revXqhVtZAAAAoBgUa2D38zt3+AvvjDt/dy6/0MmTJ5WZmak+ffpoxYoVevHFF/XUU0/p+uuvd7t+dHS01YVmypQpOe7oA35+frQL5EC7gDu0C7hDu0BhKtbAXqFCBUlSenq6S7nz95CQkBzbnDp1Si+99JKGDBmiFi1aqHPnznrttdc0Y8YMzZgxQ5UqVcqxTbdu3dStWzfr98TERC++ClwJQkNDaRfIgXYBd2gXcId2AXciIiK8sp9ifei0bt26kqSkpCSXcmeDr127do5tNm7cqJSUFGuc9oiICI0ePVqZmZnasmVLodYXAAAAKGrFGtibNWumsmXLas+ePS7le/bsUb169dx+KsnMzFR2drZLWfXq1VW2bFkeOgUAAMAVp1gDu6+vr/r166cNGzYoIyNDkpScnKwtW7bozjvvlCQtWbJEI0eOtMZYb926tRwOh7Zu3Wrt5/Dhw8rOzlarVq2K/kUAAAAAhahY+7BLUq9eveTn56dZs2apZs2aiomJ0bBhw9S6dWtJ50aSOXHihBXow8LCNH78eC1atEjbt29X2bJldfjwYY0bN46HPQAAAHDFcRhjTHFXoqgdOnSouKsAm+FhIbhDu4A7tAu4Q7uAO1fEQ6cAAAAA8kZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjfsVdAQAAAKA4ZWVl6cyZMzLGyOFwuF3HGCNJ8vX1ValSpXJdrzAQ2AEAAFBiGWN0+vRplSlT5qIh3BijrKwspaWl5Wt9b6FLDAAAAEqs9PR0lS5dOl/h2+FwyM/PT4GBgcrIyCiC2p1DYAcAAECJlZ2dLV9fX4+28fX1VWZmZiHVKCcCOwAAAOCBouy/LhHYAQAAUIIVNHwXZWgnsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAJRYxpgi3a4gCOwAAAAo0TwN38YYhnUEAAAAikJgYKDS0tLyHdozMzOVlpamUqVKFXLN/sevyI4EAAAA2Iyvr69Kly6tU6dOScp9QiRnoPfx8VGZMmWK9A47gR0AAAAlmq+vr8qUKVPc1cgVXWIAAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMa8EtgPHz7sjd0AAAAAuIDHgX3Xrl1688039frrr1tlJ0+e1NSpU3XgwAGvVg4AAAAo6TwK7Nu3b9fEiRO1adMmHTp0yCqvX7++Bg4cqMmTJ3O3HQAAAPAijwL7ggULVLNmTT388MMKDQ11WVa1alU1bdpUn332mVcrCAAAAJRkfp6snJSUpBkzZiggIEDbtm3LsbxixYpav369t+oGAAAAlHge3WGvWrWqAgICcl2+e/dupaWlXXKlAAAAAJzjUWAPDw9XfHy822Vffvml/vjjD9WuXdsb9QIAAAAgD7vEDBgwQJMmTVKrVq2UmJioNWvWKDk5WZs3b1ZcXJwcDocGDBhQWHUFAAAAShyPAnulSpU0btw4zZs3T/v379f7779vLatevboGDhyo5s2be72SAAAAQEnlUWCXpNDQUD3zzDNKT0/XoUOHlJmZqZCQEIWGhurYsWOFUUcAAACgxPKoD/vcuXOtfwcGBqpu3bpq2LChNcTjpk2btHXrVq9WEAAAACjJPArsf//9d57L69evr08++eSSKlQQiYmJ+uWXX/TXX38V+bEBAACAwnTRLjE//fSTddd8//79mjlzptv1zpw5oz/++EMZGRkeV2Ljxo3asWOHqlSpopiYGEVGRqpFixYX3e7HH3/U0qVL1apVK3Xs2FGVK1f2+NgAAACAnV00sF9//fU6ePCgFi5cKEl5TozkcDjUr18/jyqwdu1aLVq0SNOnT1dgYKCSkpL0zDPPaOzYsWrcuLHbbbKzs/XBBx9o+/btGjNmjKpXr+7RMQEAAIDLxUUDuzOEh4WFafXq1brnnnvc78jPT5UrV1b58uXzffDTp08rKipK3bt3V2BgoKRzI9G0bNlSc+bM0dSpU91uN3/+fK1fv15TpkwhrAMAAOCKlu9RYm688UZVq1ZN9erVy3WdxMREZWdny8cnf13jt23bprS0NDVs2NClvEGDBtq4caPi4+NVs2ZNl2UHDx7U0qVLFRkZqRo1auS3+gAAAMBlyaOHTvMK65IUGxurOXPm5Ht/cXFxkmSNMuMUFhYmSYqJicmxzdq1a5Wdna3MzExNmzZNjz32mIYNG6aVK1fm+7gAAADA5cLjcdg3btxoPVxqjLHKs7OztWfPHiUnJ2vo0KH52ldqaqokWd1hnJy/nzhxIsc2u3fvlo+Pjzp06GBN0rRo0SLNmTNHwcHB6tChg6cvCQAAALAtjwJ7dHS0Zs+enec6bdu2zf/B/c4d3uFwuJQ7f3cuP19KSopq1KjhMqPqHXfcoejoaC1btsxtYI+OjlZ0dLQkacqUKTnu6AN+fn60C+RAu4A7tAu4Q7tAYfIosK9bt04jRoxQnTp1tGfPHvn4+KhBgwaSpOPHj2vNmjX5vrsuSRUqVJAkpaenu5Q7fw8JCcmxTXBwsDIzM13KfH19Vbt2bf3xxx9uj9OtWzd169bN+j0xMTHfdUTJEBoaSrtADrQLuEO7gDu0C7gTERHhlf141Ie9UaNGatu2rSpXrqz27dsrLi5OYWFhCgsLU4MGDdS8eXMtXrw43/urW7euJCkpKcml3Nnga9eunWObiIgIt11lSpcuraCgIA9eDQAAAGB/HgX27Ozs/23o46OgoCDt3LnTKvP19c1znPYLNWvWTGXLltWePXtcyvfs2aN69eq5/VTSoUMHHTt2TIcOHXIpT05OVv369fN9bAAAAOBy4HFgnzBhgiZNmqTjx4/rpptu0ttvv625c+dq8eLFmjt3rk6dOpXv/fn6+qpfv37asGGDNUNqcnKytmzZojvvvFOStGTJEo0cOVIpKSmSpObNm6tx48ZatmyZtZ/Dhw8rNjZWAwYM8OTlAAAAALbnUR/2fv366eWXX1ZCQoKSk5NVp04dDR06VNOmTbP6lXfq1MmjCvTq1Ut+fn6aNWuWatasqZiYGA0bNkytW7eWdG4kmRMnTliB3uFw6LnnnlNUVJTeeecdhYSE6MiRI3rhhRdyjNkOAAAAXO4c5vyxGfMhOztbp06dUnBwsFV26NAh/fLLL6pYsaLat2+f74mTisuF3WkAHhaCO7QLuEO7gDu0C7jjrYdOPR6H3cfHxyWsOyvjrNDOnTvVpEkTr1QOAAAAKOm8fit8xYoV3t4lAAAAUGLlK7BnZWVZs5LmJjs7W1FRUdq0aZNXKgYAAAAgH11ioqOjFRUVpfT0dFWuXFlPP/20NX66U2Jiot566y3t3r270CoKAAAAlER53mHfv3+/PvjgA2vm0b///ttlRBhJ+vnnn/Xss89q9+7dKlu2rJ577rnCrTEAAABQguR5h/2bb75RQECA+vfvrxo1amjnzp1aunSpfv31V7Vs2VJz587V6tWrJZ0bH/2JJ55QhQoViqLeAAAAQImQZ2DftWuXHnnkEXXo0EGS1KJFC2VnZ2v9+vVauHCh4uPj5efnp7vvvlu9e/cukgoDAAAAJUmegT0lJUVt27Z1KevcubNGjhwp6dxwjk899ZTq1KlTeDUEAAAASrA8A3tgYKD8/FxXqV69ugICAnTDDTdoyJAhKlWqlMvyzZs3q02bNt6vKQAAAFAC5fnQaW4zllavXl2PPvpojrAuST/++KN3agYAAAAg7zvshw8f1gsvvKCAgACX8oSEBE2YMMGlzBij5ORkHT58WE899ZT3awoAAACUQBcdh33v3r1uy3fu3On1ygAAAABwddE+7B07dlS5cuXkcDjy3FF2draSkpLoEgMAAAB4UZ6BvUuXLho8eLBHOyxduvSl1AcAAADAefJ86PSmm27yeIc9e/YscGUAAAAAuMozsEdERHi8wypVqhS4MgAAAABc5RnYAQAAABQvAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAG7voTKfnc85u6uPjo8aNG0uSdu/erffee0/Jycm6/vrr9eCDDyogIMD7NQUAAABKII/usE+YMEEbNmxQ2bJlJUnHjx/Xa6+9poSEBLVt21bp6en69NNPC6WiAAAAQEnk0R321q1b69FHH7V+/+ijj3Ty5Ek98MADuuWWWyRJH374oXdrCAAAAJRgHt1hb9CggfXvbdu26aefflJERITL7KalS5f2Xu0AAACAEs6jwH7w4EGdOHFCsbGxevfdd+VwODR06FD5+JzbTVZWln799ddCqSgAAABQEnnUJaZt27Z6/PHHlZmZKR8fHw0aNEhXX321MjMztWPHDn3++eeKj48vrLoCAAAAJY5Hgf3aa6/Vv/71L8XGxqpmzZqqWrWqJOno0aM6efKkbr75Zt18882FUlEAAACgJPIosEtSWFiYwsLCXMqqVq1qhXcAAAAA3uNxYL9QRkaGVq5cqWPHjun666/XVVdd5Y16AQAAAJCHgX3YsGEqX768IiMj1bVrVxlj9Nprr+m3335TYGCg1qxZoyeffFLXXXddYdUXAAAAKFE8Cuy+vr4aO3asgoODJUkrV67Ub7/9phYtWmjUqFE6c+aMZs+eTWAHAAAAvMSjwN6uXTsrrCcnJ+uzzz5TQECA/vGPf8jf31/+/v6KiIgolIoCAAAAJZFH47BnZWVJkowxmjVrltLT09WnTx+FhIRY6xw6dMi7NQQAAABKMI/usGdlZemVV17RiRMnFBcXpyZNmqhPnz7W8pUrV+rnn3/2dh0BAACAEsujwH7ffffpP//5j/bs2aNWrVqpT58+8vX1VXx8vP7zn//o+PHjuvrqqwurrgAAAECJ4zDGmOKuRFGj2w4uFBoaqsTExOKuBmyGdgF3aBdwh3YBd7z1bKdHfdidTp48qQMHDli///TTT4qLi/NKhQAAAAD8j8cPnX7wwQd65JFHNG3aNKv82muv1bJly/TFF194vYIAAABASeZRYP/888+1evVqGWPk6+trlfv5+emxxx7Thg0btHHjRq9XEgAAACipPArs69ev17333qu5c+cqPDzcZZmvr69atmypZcuWebWCAAAAQEnm0SgxgYGBuv322yVJDocjx/Ls7GwdPHjQOzUDAAAA4Nkd9vMnSLpwcJnTp09r06ZN8vPz6DMAAAAAgDx4FNibNWumRYsWSXK9wx4XF6eJEyfq2LFjatWqlXdrCAAAAJRgHt0Ov/XWWzVz5kw9/PDDMsboxRdfVHJyso4ePSpJqlKliu67775CqSgAAABQEnkU2H18fDRs2DD98ssv+u677/TXX3/J19dXV199tVq0aKGbbrpJgYGBhVVXAAAAoMQpUIfz1q1bq3Xr1t6uCwAAAIALeDzT6cqVKzV//nyXst27d2vZsmXKzs72WsUAAAAAeBjYv/nmG3300Udavny5MjMzrfKGDRuqTp06+uc//6mMjAyvVxIAAAAoqTwK7GvWrFGPHj00efLkHMM3Xn311fL399eSJUu8WT8AAACgRPMosEdERGjIkCGqWbOm2+VhYWH67rvvvFIxAAAAAB4Gdl9f3zyX79u3T8nJyZdUIQAAAAD/41FgL1eunH777Te3y5YvX669e/fmevcdAAAAgOc8GtaxX79+euGFF9SwYUM1b95cwcHBOnLkiH744Qft2rVLDodD/fv3L6y6AgAAACWOR4G9TJkyGj9+vN5//329/fbbLsvKly+vBx98UC1btvRqBQEAAICSzOOJk0JCQjRmzBgdO3ZMsbGxSk9PV6VKldSgQYMcI8cAAAAAuDQeJ+ysrCylpaUpJCREISEhkqT4+HidOXOGwA4AAAB4mUcPnf799996/PHHNXz4cJeJk6pUqaJPPvlEv/76q9crCAAAAJRkHgX2+fPnKyUlRa1atXK5mx4QEKAHH3xQH330kfbu3ev1SgIAAAAllUeBPTk5We+9956efPLJHMv8/f3VpEkTzZ8/32uVAwAAAEo6jwJ7WFiYypcvn+vys2fPKiYm5pIrBQAAAOAcjwJ7Zmamzp4963bZ8ePHtXXrVvn7+3ulYgAAAAA8DOydOnXSG2+8oSNHjriU79ixQxMnTtSpU6fUtm1br1YQAAAAKMk8GoexZcuWio+P19NPP62wsDBrptOUlBRJUt26dXXPPfd4XImNGzdqx44dqlKlimJiYhQZGakWLVrka9sTJ05o5MiReuWVVxQeHu7xsQEAAAA783jg9Ntvv11NmzbV6tWrtW/fPgUFBalGjRpq06aNunfv7vFY7GvXrtWiRYs0ffp0BQYGKikpSc8884zGjh2rxo0bX3T7WbNmWR8YAAAAgCtNgWY6qlevnurVq5ej/NSpUx4F9tOnTysqKkrdu3dXYGCgJKlSpUpq2bKl5syZo6lTp+a5/Zo1a1SlShXPKg8AAABcRjzqw34xmzZt8miUmG3btiktLU0NGzZ0KW/QoIHi4uIUHx+f67aHDx/WgQMH1Lp16wLXFwAAALA7j+6wDxs2LNdl2dnZSk5OVt++fd3efXcnLi5OkhQaGupSHhYWJkmKiYlRzZo13R5r0aJFevjhhxlGEgAAAFc0jwL70aNH81weHh6uffv25Xt/qampkmR1h3Fy/n7ixAm323311Vcu3WgAAACAK5VHgb1nz566//773fZTP3TokBYvXqxHH300/wf///txOBwu5c7f3R0nNjZW6enp+Xog1Sk6OlrR0dGSpClTpuS4ow/4+fnRLpAD7QLu0C7gDu0ChcmjwN6pU6dcHyqNiIhQo0aN9O9//1tDhgzJ1/4qVKggSUpPT3cpd/4eEhLiUp6RkaGvvvoqz6457nTr1k3dunWzfk9MTPRoe1z5QkNDaRfIgXYBd2gXcId2AXciIiK8sh+PAnudOnXyXF6+fHktXLgw34G9bt26kqSkpCTVqlXLKnc2+Nq1a7usv3fvXm3atMll/9nZ2ZKkkSNHSpKioqLydWwAAADgcuBRYN+5c2euy06cOKHPPvtMPj75H3imWbNmKlu2rPbs2aNWrVpZ5Xv27FG9evVyfCqpX7++pk2b5lK2Z88evf322xo7dmyOO/IAAADA5c6jwD5hwoSLrtOnT59878/X11f9+vXT119/rb59+yogIEDJycnasmWLhg8fLklasmSJvvvuO7300ksqV65cjnHXk5KSJJ37KoqZTgEAAHCl8SiwlylTRtdcc438/f1zLAsMDNRVV12ldu3aeVSBXr16yc/PT7NmzVLNmjUVExOjYcOGWeOrp6am6sSJE8rIyPBovwAAAMCVwGGMMfldec2aNeratWth1qdIHDp0qLirAJvhYSG4Q7uAO7QLuEO7gDveeujUo5lOr4SwDgAAAFxOPOoSc6GzZ8/q559/1rFjx1SvXj1dffXV3qoXAAAAAF0ksM+cOVPHjx9XcnKyAgIC1KNHD3Xs2FHSuaEXJ02apMOHD1vrt2/f3npYFAAAAMClyzOwr1+/Xg6HQ/fcc4969+5tDdmYkZGhyZMn6/Dhw/L19VXz5s119uxZbdy4UY0aNVKPHj2KpPIAAADAle6iXWL69Omj22+/3aVs8eLFOnTokAIDA/Xiiy+qfv36kqQNGzZo6dKlBHYAAADAS/J86NThcOi2225zKfv777/19ddfS5IeeughK6xL0o033qj09PRCqCYAAABQMuUZ2IODgxUUFORSNm/ePGVmZqpJkya68cYbc2wTEBDg3RoCAAAAJViegT0wMFBHjhyxfv/uu++0ZcsWSdJ9992XY/0zZ87o77//9nIVAQAAgJIrzz7s11xzjSZPnqybb75Zhw8f1urVqyWd6/pyflcYp6VLl+rs2bOFU1MAAACgBMrzDvs999wjh8Ohjz/+WKtWrVJ2drYaNWqkhx56KMe633zzjRYvXlxoFQUAAABKojzvsAcHB+v111/Xzz//rMTERFWvXl2tW7eWw+Gw1klOTtaMGTN07NgxtWjRQlWrVi30SgMAAAAlxUWHdfT391eHDh1yXV6uXDmNGzdOvr6+Xq0YAAAAgHwE9oshqAMAAACFJ88+7AAAAACKF4EdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjfsVdAUnauHGjduzYoSpVqigmJkaRkZFq0aJFruvHxcUpKipKsbGxCggIUOvWrXXvvfcqODi46CoNAAAAFIFiv8O+du1aRUVFadCgQbr99ts1aNAgTZ8+Xbt27XK7/tGjR/XBBx+oQ4cOGjp0qBo3bqzo6GhNnz69iGsOAAAAFL5ivcN++vRpRUVFqXv37goMDJQkVapUSS1bttScOXM0derUHNt88803GjVqlCpUqCBJuuGGG5Senq5ff/1VR44cUXh4eFG+BAAAAKBQFesd9m3btiktLU0NGzZ0KW/QoIHi4uIUHx+fY5trrrnGCutOzu4zaWlphVVVAAAAoFgUa2CPi4uTJIWGhrqUh4WFSZJiYmJybNO0adMcZRkZGSpTpoyqVavm/UoCAAAAxahYA3tqaqokWd1hnJy/nzhxIl/7+e2333TrrbcqICDAuxUEAAAAilmx9mH38zt3eIfD4VLu/N25PC979uxRenq6br/99lzXiY6OVnR0tCRpypQpOe7oA35+frQL5EC7gDu0C7hDu0BhKtbA7uyLnp6e7lLu/D0kJCTP7U+ePKnPP/9co0ePzjPcd+vWTd26dbN+T0xMLGCNcaUKDQ2lXSAH2gXcoV3AHdoF3ImIiPDKfoq1S0zdunUlSUlJSS7lzgZfu3btXLfNyMjQ3LlzNXToUJUrV67Q6ggAAAAUp2IN7M2aNVPZsmW1Z88el/I9e/aoXr16uX4qyczM1Jw5czRgwACXr58SEhKUkZFRqHUGAAAAilKxBnZfX1/169dPGzZssIJ2cnKytmzZojvvvFOStGTJEo0cOVIpKSmSpKysLP3rX/9SeHi4YmNj9dNPP+mnn37SunXr9Pnnn/PgKQAAAK4oxdqHXZJ69eolPz8/zZo1SzVr1lRMTIyGDRum1q1bSzo3ksyJEyesQP/uu+9q06ZN2rRpU459Pfroo0VadwAAAKCwOYwxprgrUdQOHTpU3FWAzfCwENyhXcAd2gXcoV3AnSvioVMAAAAAeSOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICN+RV3BSRp48aN2rFjh6pUqaKYmBhFRkaqRYsWua5//PhxLVy4UOHh4UpJSdGZM2c0cOBABQYGFl2lAQAAgCJQ7HfY165dq6ioKA0aNEi33367Bg0apOnTp2vXrl1u1z99+rQmTZqk6tWrq0+fPnrggQfk6+uradOmFXHNAQAAgMJXrIH99OnTioqKUseOHa2745UqVVLLli01Z84ct9ssX75cCQkJioyMtMpuvvlmbdu2TZs3by6SegMAAABFpVgD+7Zt25SWlqaGDRu6lDdo0EBxcXGKj4/Psc0PP/ygGjVquHR/qVatmsqUKaMNGzYUep0BAACAolSsgT0uLk6SFBoa6lIeFhYmSYqJiXEpP3v2rA4ePKhKlSrl2FdoaGiO9QEAAIDLXbEG9tTUVEnK8bCo8/cTJ064lJ88eVLGGJUuXTrHvgIDA3OsDwAAAFzuinWUGD+/c4d3OBwu5c7fncud/P393a7vLLtwfafo6GhFR0dLkqZMmaKIiIhLqziuSLQLuEO7gDu0C7hDu0BhKdY77BUqVJAkpaenu5Q7fw8JCXEpDw4Olp+fX471ndtcuL5Tt27dNGXKFE2ZMkVjxozxQs1xpaFdwB3aBdyhXcAd2gXc8Va7KNbAXrduXUlSUlKSS3liYqIkqXbt2jm2qVOnTo71nfuoVauW9ysJAAAAFKNiDezNmjVT2bJltWfPHpfyPXv2qF69em6/WmrXrp3i4+N15swZqywhIUGpqam68cYbC73OAAAAQFEq1sDu6+urfv36acOGDcrIyJAkJScna8uWLbrzzjslSUuWLNHIkSOVkpIiSYqMjFSFChW0fv16az/ffPONGjRokOfsqE7dunXz/gvBZY92AXdoF3CHdgF3aBdwx1vtwmGMMV7Z0yX45ptv9Oeff6pmzZqKiYlRhw4ddN1110mSoqKitH79ek2ZMsUa/jExMVGffPKJqlWrpoyMDKWkpOiBBx5QmTJlivNlAAAAAF5ni8AOAMCVIDExUfv371d4eLhq1KhR3NUBcIUo1mEdC8PGjRu1Y8cOValSRTExMYqMjMyzq8zx48e1cOFChYeHKyUlRWfOnNHAgQNzjA2Py5un7SIuLk5RUVGKjY1VQECAWrdurXvvvVfBwcFFV2kUKk/bxPlOnDihkSNH6pVXXlF4eHjhVhRFqqDt4scff9TSpUvVqlUrdezYUZUrVy78yqLIeNou4uPjtXz5clWpUkVpaWk6evSo7r33Xq4XV6Djx49r2bJlqlixom655ZaLrlvgzGmuIGvWrDGPPvqoOX36tDHGmMTERPPAAw+YP/74w+36p06dMs8884z5+uuvrbIPP/zQTJ48uUjqi6Lhabs4cuSIeeGFF8zatWvN999/b6ZNm2b69+9vJk6cWJTVRiHytE1c6LXXXjP9+/c3f//9d2FWE0WsIO0iKyvLzJo1yzzxxBPmr7/+Kqqqogh52i5OnDhhHnzwQRMbG2uVrV271jzzzDNFUl8Una1bt5oZM2aY/v37mwULFuS57qVmzmJ96NSbTp8+raioKHXs2NH6pFKpUiW1bNlSc+bMcbvN8uXLlZCQoMjISKvs5ptv1rZt27R58+YiqTcKV0HaxTfffKNRo0apS5cuuuGGGzRixAi1bNlSO3bs0JEjR4qy+igEBWkT51uzZo2qVKlS2NVEEStou5g/f77Wr1+v5557TtWrVy+q6qKIFKRd7Nq1S6mpqS7fsjRo0EB//fWXNYAGrgwtW7ZU//7987XupWbOKyawb9u2TWlpaWrYsKFLeYMGDRQXF6f4+Pgc2/zwww+qUaOGy1cR1apVU5kyZbRhw4ZCrzMKX0HaxTXXXGNN6uXk/OozLS2tsKqKIlKQNuF0+PBhHThwQK1bty7saqKIFaRdHDx4UEuXLlWnTp3or36FKki7KFeunCRZM6xL57pZhoWFqWzZsoVbYRQ5H5/8RelLzZxXTGCPi4uTJGskGaewsDBJUkxMjEv52bNndfDgQVWqVCnHvkJDQ3Osj8uTp+1Ckpo2bZqjLCMjQ2XKlFG1atW8X0kUqYK0CUnKzs7WokWLdNdddxVq/VA8CtIu1q5dq+zsbGVmZmratGl67LHHNGzYMK1cubLQ64uiUZB20bhxY7Vp00b//ve/tXjxYu3cuVNr167V2LFj5XA4Cr3OsB9vZM4r5qHT1NRUScrRcd/5+4kTJ1zKT548KWOMSpcunWNfgYGBOnToUCHVFEXJ03aRm99++0233nqrAgICvFtBFLmCtomvvvpK3bt354H0K1RB2sXu3bvl4+OjDh06qHnz5pKkRYsWac6cOQoODlaHDh0KudYobAW9XowYMULvvvuuFi5cqMDAQL388st0mSrBvJE5r5g77H5+5z57XPjp1fm7c7mTv7+/2/WdZReuj8uTp+3CnT179ig9PV2333679yuIIleQNhEbG6v09HQ1bty48CuIYlGQdpGSkqIaNWpYYV2S7rjjDlWsWFHLli0rxNqiqBT0b8jJkyeVmZmpPn36yBijF198UT///HPhVha25Y3MecUEdmef4/T0dJdy5+8hISEu5cHBwfLz88uxvnObC9fH5cnTdnGhkydP6vPPP9fo0aP5EHeF8LRNZGRk6KuvvrJmX8aVqSDXiuDg4Bz9V319fVW7dm2+pb1CFKRdnDp1Si+99JK6dOmie++9V6+99ppCQ0M1Y8YMJSUlFXqdYT/eyJxXTGCvW7euJOV4MyQmJkqSateunWObOnXquH3zJCUlqVatWt6vJIpcQdqFU0ZGhubOnauhQ4daDxHh8udpm9i7d682bdqkIUOGaODAgRo4cKBeeeUVSdLIkSM1cODAwq80Cl1BrhURERFuu0SULl1aQUFB3q8kilxB2sXGjRuVkpJiDVYQERGh0aNHKzMzU1u2bCnU+sK+LjVzXjGBvVmzZipbtqz27NnjUr5nzx7Vq1dPERERObZp166d4uPjdebMGassISFBqampuvHGGwu9zih8BWkXkpSZmak5c+ZowIABLg8bJSQkKCMjo1DrjMLlaZuoX7++pk2bptdff936efTRRyVJY8eO1euvv15kdUfhKci1okOHDjp27FiOu+nJycmqX79+odYXRaMg7SIzM1PZ2dkuZdWrV1fZsmV56LQEu9TMecUEdl9fX/Xr108bNmywAlVycrK2bNlifZW9ZMkSjRw50hoHNTIyUhUqVND69eut/XzzzTdq0KBBvmc8hL0VpF1kZWXpX//6l8LDwxUbG6uffvpJP/30k9atW6fPP/+cB08vc562iYCAAFWpUsXlx/n1ZWhoKGOyXyEKcq1o3ry5Gjdu7NJf/fDhw4qNjdWAAQOK/kXA6wrSLlq3bi2Hw6GtW7da+zl8+LCys7PVqlWron8RKFSZmZmSJGOMS7m3M+cV1Sm3V69e8vPz06xZs1SzZk3FxMRo2LBh1pjJqampOnHihPWmCwoK0oQJE/TJJ59Y5adOndLzzz+f73E1YX+etot3331XmzZt0qZNm3Lsy3lnFZc3T9sESgZP24XD4dBzzz2nqKgovfPOOwoJCdGRI0f0wgsvqGbNmsX5UuBFnraLsLAwjR8/XosWLdL27dtVtmxZHT58WOPGjcsxPCQubzt27NCqVaskST/99JOqVaumVq1aKSgoyOuZ02Eu/EgAAAAAwDa4jQwAAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdwEWdOnVKbdq0UYMGDXT48OFL2tfp06e1evVqjRo1Sg0aNFB8fLzL8oSEBNWvX19t2rTRqVOnLulYF2OM0a233qqqVatqx44dhXqs/NqyZYs++eST4q4GAMBGCOwALur333/Xli1btHfvXn3//fcF3k9mZqbeeOMNTZs2TW+++ab27t2r7Oxsl3W+//57xcTEaMuWLdq5c+elVj1PiYmJ+vrrr3X48GGtWrWqUI91Mdu2bdPtt9+uNm3aKDo6+qLrx8bG6sEHH1SLFi10ww036Oqrr9YLL7ygtLS0fB1v586dqlOnjhwOh8tPy5YtNWXKFLfbjBs3TldffbW1bsWKFbV48WKPXicAwHMOY4wp7koAuTl8+LCqVKlS3NXwGm+/nqI6P5mZmbr//vuVmpqq+fPnq1y5cpe0v+TkZIWEhEiS9u3bp9q1a1vLjh8/rnvuuUchISH6+OOP5efnd0nHupinnnpK27dv17x581SzZs0cywv7HB85ckRz587V0aNH9f777yslJUWDBg3S3Llzc91m8+bN6tq1q7p27apPP/1UpUuX1r59+xQZGang4GBt2LBBFStWvOixjTEaPXq03nzzTUlSixYt9Ouvv+a5zYkTJ1ShQgU1a9ZM3333ncqXL+/R6y1uXFPgKc4xbMEANnXixAkTGRlZ3NXwmv3795u+fft6bX+X+/mRZCSZffv2FXdVclUU5zg7O9v691133WUkmUGDBuW6fkJCggkPDzdly5Y1iYmJLsuWL19uJJnevXvn+/jp6emmVq1aRpLx9/c3R48ezXP93bt3G0lm9erV+T6GXWzZssU88sgjxV0Nr/nqq6/Myy+/XNzVuKJ5+7oNFBRdYmBLxhg9+OCDiomJKe6qeEVGRobuvvtuHTt2zCv7u9LOjx0V1Tl2OBzWvwMDAy+6/uuvv64jR46oX79+qlSpksuyHj16qFatWlq6dKnWrVuXr+OXKlVKY8eOlSSdPXtWs2fPznP9hQsXqnnz5urWrVu+9m8XycnJuvvuu3XmzJniropX7Nu3T0OGDJHhS/JC4+3rNnApCOywnezsbA0fPlyff/55cVfFK9LT03Xvvffqxx9/9Mr+rrTzk5cL+7cX1bHseo6zsrL0wQcfSJIiIyNzLHc4HOrcubMkWevlx+DBg62v/GfMmKGMjAy362VnZ2v27Nl67LHHPKx58Tp+/Lh69+6tvXv3FndVvOLAgQPq2bOnkpKSirsqVyxvX7eBS0Vgh+28//772rBhg6RzfQc7d+6szp07Kyoqylrn9OnTmj59ujp06KBu3bqpevXquuGGG/TNN9/k2N/x48c1ffp03XXXXZKkefPmKSIiQnXq1NG+ffus9Ywxevvtt3XDDTeoffv2atSokV588UUdOnQo17r+/vvvGjx4sHr27KkaNWqocePGevXVV3X27FlrnSlTpui3336TdO7BQufrWb16daGcH2OMVq5cqV69emnnzp2KiYlRhw4dVLZsWb377rvWfnbv3q2HH35YnTp1Urt27VStWjUNGjTI7Sgw6enpWrx4sfr27auNGzcWqN75tXfvXr3yyitq3ry5vvvuO6s8KSlJn376qQYOHKjKlSvrzJkzWrVqlbp166Zy5cqpfPnyeuCBB6yRZVavXq2ePXuqQoUKqlChgoYPH57jA8CxY8c0e/ZsdevWTa+88opVnp82WBy2b9+ulJQUSVKzZs3crtO8eXNJ8ugh2lKlSmn48OGSzr3e3F7nsmXLdOzYMd13331ul3vrffnLL78oNDTUerjV399f1113ncv2d911l/z8/ORwOKxvCHIzZswYHThwQJK0cuVK6//z/JGBDh48qJEjR6pDhw7q2LGjIiIidMcdd2jPnj059hcbG6tRo0Zp8uTJys7O1ogRI1S+fHlFRkYqMzPTWi8lJUUjRozQDTfcoBYtWui6667TrFmz8nwweNmyZerXr5+6du2qypUrq23btlq0aJG1PDMzUyNGjNDx48clSXPnzrVez9GjR/M8D3k5c+aMvvjiCz311FOSpOXLl6tdu3YKCgpSrVq1NH78eLcf5NLS0jRhwgT17t1bLVu2VOXKlXXvvfe6XFudNm7cqLvvvlurVq3S0aNHdcsttyg4OFjPP/+8y3rfffed+vTpoy5duqhdu3a65pprNH36dLffjuTnGnzkyBFFRUXp/vvvV+XKlZWWlqbo6GhFRkaqTJkyqlq1ao4HrfNz3U5OTtaECRN0ww03qEuXLoqIiNBNN92kzZs353qeV69era5du6pjx46qV6+eHnroIW3bti3X9ZOSkjRq1Cjdeuutuvrqq1WtWjX94x//uKT/a1ymirM/DpCbdevWGUmmVq1aOZZlZGSYdu3amQoVKpj4+HhjjDHJycmmSZMmxtfX13z33XfGGGMyMzPNiBEjTEhIiJFkWrdubb744gsTHh5u9Z+eNWuWtd/HHnvMNGjQwCQnJxtjjFm6dKmRZHx8fEzz5s1Np06dzNtvv22tv3z5ctOoUSOzd+9eq179+vUzksxtt93m0jf5o48+MpJMp06dCvX8LFiwwFx//fXW69uwYYO56qqrTHBwsJFk2rVrZ4wx5ueffzZBQUGmf//+JjMz0xhjzKpVq4wk07RpU5ORkWHt89133zXNmjWz9rlu3TqvvAa56cM+bdo006NHD7fHWrVqlXnuueesZSNGjDCPPvqoWb16tdm4caPp0KGDkWSGDh1qRo0aZSZPnmy2bNliVq5caRo2bGgkmbfeesva39KlS83AgQNNQECAkWReeumlfJ3jwjRo0KA8+7B//PHH1us/cuSI23U+++wza52DBw/m+9jHjx835cqVM5JM48aNXdqv080332wee+wxt9t7+3158OBBa53Bgwe7PWbv3r3z3Sf9pZdeyvXcxsbGmrCwMNO+fXuTnp5ujDFm+/btJjAw0FSpUsUcO3bMGGNMTEyMGTx4sPH19TWSzMiRI83w4cNNWFiYVfc///zTGGPMqVOnTOvWrc2AAQOsczlq1CgjyQQEBJh27dqZTp06WefFGGPGjx9vbr75ZpOammqMOfe8grPtvvHGGy51draVC9ttQTzxxBOmQoUKVnt/5513jL+/v6lZs6YpVaqU9dr69Onjsl1SUpJp0aKFmT17tlX2+eefG0kmJCTEOherV6823bt3t/bz+eefm/bt21vHrFq1qrX9hAkTzFVXXWV27dplld13331GkuncubNLu8zvNfjPP/+0rsGSzKhRo8yTTz5pNm3aZBYtWmRCQ0ONJPP111+7vL68rtvHjh0z9evXN/Xq1bP+Zvz1118mPDzclClTxqrT+ebPn28CAgLMtm3bjDHG7Nu3zzp27dq1TadOncxDDz1krb9v3z5Tv359s3z5cqts2rRpRpKpW7durtcAXJkI7LClvMLSsmXLrAvW+aZOner2D/LcuXONJFOzZk3z7LPPmqysLBMVFWXatWtn/UFZs2aNkWQmTpzosm3nzp2NJPP000+7lB86dMhUqFDBLFq0yKV8586d1h+F8y/+RRXYjTkXFIKCgowk07dvXxMfH29iY2NN9+7dzYwZM4wxxtx5551uX2+TJk3chvK0tDQTGBhY6IHdmHMPYZYvXz7Xeji3u/Dc//zzz9ayBQsWuCxbuHChkWTatm2box633Xabx4HdGZYK8pPXA6UXC+zOP9aSrGB5IeeDp5LM1q1bcz2WO88++6y17X/+8x+XZXv37jUOh8Ns377d7baF8b4cN26c9X+QlZXlsv2ZM2dMxYoVze+//56v15ZXYHcG6QcffNClvFevXkaS+eijj1zKBw8ebCSZFi1amHnz5pnMzEzz7LPPmp49e5ozZ84YY4x58cUXrQ/NTmlpaaZMmTJGklmyZInLPr/++mtTqlQpc+DAAZfymTNnGkmmdOnSLg8ZezOwnz171rzxxhtGkgkMDDQPPfSQ+fvvv40x50L5rbfearWL+fPnW9sNGDDA3HLLLTn2d9111xlJpn///lZZVlaWqVu3rpFkunTpYv773/+ao0ePmjvuuMOMGTPGGGPMnDlzjMPhML/88ovL/pw3EySZPXv2GGM8vwafOXPGKp8zZ47LNq+99pqRZO644w6X8ryu2++8846RlOOh9Mcff9zt/0tycrIpV65cjvVffvllqy2dLzs721x//fXmiSeecCnPysoyVapUMZLM6NGjc9QLVy66xOCyEx4eLl9fX4WHh7uUh4WFSVKOLizOofqOHTumiRMnysfHR/fff782btyohg0bSpLmz58vSTmG7nJ+XX9hN5C3335baWlp6tWrl0v5VVddZQ1X+J///KfAr/FSlC5dWqGhoZKkfv36qUaNGqpTp46++eYbPfnkk5KkqlWrSvrfOXPK7RwGBQXlON+FxeFwqEKFCm6XBQUFWf++9tprXZY1adLE+veF3SeuuuoqSdIff/yRY5/5Gf7wQlWrVlWjRo0K9OM89wVxfleKgIAAt+uUKlXK7fr58fTTT1vbT5061WXZu+++q/bt2+faFacw3pdPPvmkAgMDtX//fi1btsxl+1WrVql27dou/+8F5fw/8bTuoaGhGjhwoHx9ffXaa69p+fLl1v+Lu2tKUFCQbr31Vkk5ryn//Oc/de2116patWou5R06dJB0rruRu65F3uDn56eWLVtKkoKDgzV79mzrXISEhGj+/PnWe/LDDz+UJP35559atGiR+vTpk2N/zjp/9dVXVpmPj4+qV68uSeratauaN2+u0NBQff7553r11VeVkZGh5557TjfeeKNatWrlsr/u3btr7Nixev7551W3bl1Jnl+Dz3+/dOnSxWUbZ5v25AFzT9vM119/rZSUlFz/xmzbtk2nT5+2ylevXq2ff/45x/n18fFR+/btJRXf3xgUj8Id4BgoBG3atNH+/ftdRshISEiw+juf33dR+t8oHJUqVXIJM+fbv3+/JOUYDaBp06aSZPUXdVq+fLl8fHxy/LFwHqds2bIufVmLmvM1X/jH32n69OkaMWKE6tSpY5X9+OOP+uuvvyTlPIfn79OugoODL7rM2f/7Ur366qt69dVXvbIvT5z/geXs2bNuQ/v5/3fnr58fVatW1cCBA/XBBx/ohx9+0I8//qh27dopPT1dH330kWbMmJHrtoXxvgwPD9fAgQM1e/ZsvfXWW7rtttusZZ999lmufek99cwzz6hPnz4u74cdO3ZYH/Byq3tu7y8p72vKggULXK4pycnJ+umnnxQeHm49NOyUnZ2tWrVqSZJOnjzp2QvzgI/Puft3ZcqUyfFeDw4O1qBBg/TWW29p69atkqQVK1bIGKN33nknx8y8KSkpVp2Tk5OtD8V5nbcNGzbo6NGjbj+AORwOl2dMJO9eg0uXLi3p3BwD+XXHHXdo37591ocQSdaEb1LONpNbe2jUqJH8/f119uxZHT9+3KrL8uXLJZ2brOyf//ynyzbHjh1TrVq1Cn2OCtgL/9u4LDkv+CtXrtTHH3+sqlWrWnc6TAGGOXPekd69e7dLufNuSUREhEv53r17FRISom+//dbjY9mBr6+v6tSpo5SUFH3wwQdav369evTooZCQEMXGxl6xQ8Vd7q/r/LvzJ0+etO4knu/8UFeQu/mjR4/WnDlzlJ2dralTp+rLL7/U/Pnz5ePjozvvvDPPbb39vpSkkSNH6oMPPtDatWv122+/qWnTpjp9+rSWLVum119/vUD7dKdu3bo6c+aMoqKitGzZMrVv316VK1cucN1DQ0OVkJCg3bt36/rrr7fK3V1TYmJiZIxRZGSkPv3000t8JYXjmmuukfS/D73OEXemTp2qm2666ZL37/xwlN9vvArjGuzp/3Pt2rWVlZWlhQsXasGCBbr66qutO+gX7iu3vzEOh0OVKlVScnKyy4dd5/mdN2+e9Y0TSja6xOCytH37drVp00Zvv/22pk+frmnTpqlRo0YF3p/zzt2XX36p9PR0qzw+Pl7Subsp58vIyFBycnKRDjvobTNnzlT9+vXl6+urL7/8Uo899pjKlClT3NVCHpzf+EjnRjVxx/lVfGhoaIECe8OGDdW3b19J57o07N69WzNnztSDDz6Y651wJ2+/L6VzdyB79+4tSdYd/qVLl6pNmzY5PkhfisWLF6tu3bqKjY3VggUL9Oyzz7r9QJRfzmuKs2uMU3x8vBwOh3WOJVmjryQmJhb4eIXN2ZacgdrbdU5NTZUk61u+i7HDNfjbb79VkyZNtHLlSn300UeaOHGiyx338/Xs2VN+fn6KjY3Vpk2brPJTp04pMTFRt9xyi8s3ZpdDm0DRIrDjsvPrr7+qffv2SktL0+eff+6VKaPvvvtuDR06VMnJyRo2bJgyMjJ06tQpvfLKK+rVq5ceffRRl/XDw8OVnp7ucuG90KFDh2w79Nbzzz+vJ554Qk8++aSGDx9ufR2O/Bk7dqwaN25coJ+LDUGYl6ZNm1p3rHfu3Ol2HedQdN27dy/wcZ577jlJ57pjDBkyRL/88ov+8Y9/5LlNYbwvnUaPHi1J+uSTT3Ts2DF99tlnuv/++722//fff1/9+/dXjx499Morr1z0g0l+vPbaa2rVqpVWrFhh9fvet2+f5syZo0mTJlnDb0r/6we9efNmlxsGF9q+fXuxBVRnVw5nX3dnnZ3Dn+bmv//9b7727/zmITo6Os+uLM4AW9zX4BUrVqhbt26qUaOGPvzwQ5UrVy7P9WvUqKH3339ffn5+evzxx3XkyBEZYzRhwgTVqFFDb731lsv6+Tm/mZmZ+v333y/9xeCywF9p2JIzQLr74zR+/HilpaWpb9++LjNDXmp3h/fff189evSwgkevXr3Ur18/ffXVV/L393dZt23btpLOBV93dTx16pTuv/9+645JXq+nIC5lf3///bfVleDuu+92WXa5dxnxprzOcUJCgv78888C/SQkJBS4Tg6HwwqquXUFcM5wOnDgwAIfp02bNtaDeRs3btTNN99sPeyXm8J6X0rnHmJs27atTp8+rTfffFPffvttjm+9Lia3/8/MzEyNGTNGknffD+XLl9eqVatUt25dzZo1S23bttXjjz+ujz76SC+88ILLuvXq1VNYWJiOHz+e67MRf/75p8aNG2e9Dm9fUy7mzz//lPS/c+S8Bn788cduH+aWznWXcfbpvpiOHTtKOvfe+te//uV2nXfeecf6QOrpNbgg8jrHzz77rLKysnTXXXe59PnPq80MGTJEEyZMUGpqqnr06KGOHTsqOztbv/zyS447887XN23aNB05csTt/p566im382bgykRghy05v4pOSkpSVlaWpP9dNGNjYyXlHAHDeafhwsk9nNvlddcmOTlZvXv31pgxY7R582Zt2bJF3377rYYNGyZfX98c6zvvuK9bt079+/e3JmWRzt1R6ty5s3r06KHy5cu7vJ6///47R70KIq/zc/6/3b3m+Ph4q/z8c5iZmWn1r8xtpktvOX//zvqfz/nA1oX1z+v/8Pz9XDjByvnbXfgHNbdj5XWO586dK3NuWFyPf+bOnZvra3COEpFX23jmmWdUoUIFLVy4MMdDtOvWrdOePXvUrl079ejRI9d95IczxErK18ymhfG+PN+oUaMknZvQpnv37he9o3mh3N6DycnJSk5Odlt357cYBan7f//7Xw0cOFBr167Vpk2b9NNPP2nFihVu/18cDoceeeQRSdKkSZM0ceJE61kEY4y++uordenSxeXbGW9fU5zcTU6UmZmpOXPm6JprrrE+MPbo0UO1a9dWenq6brrpJq1evdp6bx0/flzPPfec/v3vf2vQoEE56ufuvDVu3Ng6N88995xeeeUVq5tMWlqa/vnPf2rTpk3WQ7meXoPzOje5Xe/yOscFae/PPvus/P399fvvv2vr1q36/vvv9frrr7vtt3/PPfeoXLlyOnr0qLp27eoyGVNCQoIGDRqkuLg4de3aNdfXhStM4Y8cCXguPT3dmjRl0qRJZt26debhhx82mZmZZsiQIUaSKVeunJk/f77ZsmWLmThxojXhTpkyZcz69eutMXhff/11I8n4+vqa2NhYt8cbPXp0ruNmBwcHm65du5odO3a4bPPkk09a6zgcDlOzZk1rEox77rnHZdzoQ4cOGT8/PyPJfPjhh2bFihU5xnb31vk5cOCANRnQhAkTcmx74sQJa5zzTp06mY0bN5o1a9aYBx54wJog6dZbbzXr1q0zO3futLarVauW18ZhX7lypXXuvvzyS5dlhw8ftiamee2111yWbdmyxdpu7dq1Lsv+/PNPa1lUVJTLsgULFljLnGN8G3NuTOPmzZsbSaZXr14uk7LkdY4Lw9GjR03VqlWNJNOoUSNz8uTJXNddunSpKV26tOnfv785ffq0McaY+Ph406BBA1O7du1c27mnWrZsaWrUqJGv11wY78vzZWZmWm3wwjHi82Pz5s3WOONLliwxCxcutOYhqFOnjpHOTRq2du1a8/3335tHHnnEmoTs2muvNT/88IP5+eefTVZWljV2f+PGja1x1y/Upk2bXK8pYWFhZtCgQSYpKcla/9SpU9b45ZJMqVKlTJ06dUxwcLBxOBzm//7v/1z2v2jRImtfa9asMbNnzzbvvfeex+fFyTnvgCQzZswYk5aWZow5NxnRI488YmrUqJFjMqANGzZYcz5I5yZLqlmzpvHz8zPVq1e3xkw3xpiUlBSrfV843r3TX3/9ZWrXrm3tz9/f31StWtX4+fmZNm3amJSUFJf1PbkGx8XF5To/gXOs+7Jly7q09byu2126dDGSTPXq1c2yZcvMzz//bEaNGmU6depkJJkaNWqYjRs3Wtepr7/+Otf24O/vb5o1a5bjWrhgwQLrWijJhIeHm2rVqhkfHx/TtGlTc/To0fz81+IKQWCHbS1evNhUq1bNlC9f3jzwwAPWpCGJiYmmf//+ply5cqZ8+fKmZ8+eZt26debkyZOmffv2pmzZsqZr165mw4YNpnHjxi4XxsDAQHPttde6/KE05tysdbfccovp0qWLadKkiQkJCbEmCnL+VK9e3ZqB0GnOnDnm2muvNaVLlzZBQUGmXbt2Zu7cuW5niZwxY4YJCwszoaGh5umnnzanTp3y+vkZPnx4jno3atQoR4CNjo42zZs3N6VKlTK1atUyTz31lElISDCrV682YWFhJiIiwjzzzDMudfRWYG/Tpo3LHyF/f3/TunVrk5qaajp06GB9mHD+XHPNNebQoUPmvvvucwkHQUFB5qabbjLGnJvIxjlrojMEtmnTxhhjzF133eVyvHLlypkhQ4aYp59+2lSvXt3lWLVq1XKZVTC3NuhNqampplWrVi6vzRke2rRpk6OtOu3YscPcd999pkWLFqZjx46mWbNmZvTo0V79Iz5//nwzadKkfK1bGO/LC40dO9aEhIS4zMTriTFjxpgKFSqYatWqmYkTJ1rhbOvWraZdu3amdOnSpmrVqmbIkCFm7969Zvv27VYIHDx4sFm8eLEVOp0/lSpVMgMGDMhxrF27dpmrr77adO/e3dStW9eUL1/e+Pv7u2x7++23u2xz8uRJM27cOFO/fn3j7+9vKlasaHr37u0yG6rT2bNnzeDBg01wcLCpV6+emTlzZoHOidP5E4XNnDnTtG3b1nTq1Mlce+21Zvjw4bm2/e3bt5t+/fqZSpUqGX9/f1OnTh0zYsQIl/WnTp1qzbbs/Kldu7aZOnVqjv0dOXLEPPHEE6ZatWrG39/f1KtXz0yYMMH6YHqh/FyDV6xYYdq2bWsd+/zZWd944w0r5EsyvXv3Nps3b7a2ze26HRsba2666SZTpkwZU6lSJXPnnXearVu3moMHD5omTZqYChUqmL59+5r9+/cbY8594Bw/frxp2bKlad26tQkLCzNBQUHGx8fH5bp1/rGNMea7774zPXr0MOXLlzcBAQGmcePG5uWXX7Y+UKHkcBhjj06rx48f17Jly1SxYkXdcsstF1134cKFCg8PV0pKis6cOaOBAwe69JsEPPHpp5/q008/zTE5izFGaWlp+u233/TQQw9p+vTpXhnC7HJUu3Zt7d+/X99//71uuOGG4q4OSqBHH31UDodD7777bnFX5aKGDRumatWq5XjI2NkN59tvv9XQoUN16NAha+zt4vTtt9+qS5cuqlWrluLi4oq7Olec7du364EHHtC3336bY2K49PR07d+/X+PGjVODBg1yjDkPSDbpw/7rr78qKipKX3311UVn5jt9+rQmTZqk6tWrq0+fPnrggQfk6+uradOmFVFtcaVZv369Bg0apOeffz7HMofDoeDgYLVt21aPPvpooU5cYnfOz/a5zUIKFKbMzEwtWbJEgwcPLu6qXNTkyZM1b948jRgxIscyHx8fVapUSf369VNkZKTL7Ja4Mh09elQ9evTQgAED3F4/AwMD1ahRI40fP75E/41B3mwxcVLLli1VtWpVa0a8vCxfvlwJCQmKjIy0ym6++WaNGDFCmzdvVps2bQqzqrgCTZw4UZmZmWrRokWe6x05ckT33nuvV4994ayG+VFckzVlZGTI399f9evXl3Tuwcu8HqB0Z/DgwZdF4IL9fPjhh4qIiHCZhMiOMjIyNHnyZDVt2vSi3/pWrlz5ksZ6v9C2bdv09NNPe7RNixYtch2VBd7x3nvvKSEh4aJ/Y+Li4tSzZ8+iqRQuO7YI7JLyPQ70Dz/8oBo1arhcCKtVq6YyZcpow4YNBHZ4zDm+8FdffZVjWDenDRs2qFGjRi4z0XmDXWdKTUtL07x589SnTx9VrVpVxhglJyerV69e1hjVhG8Upvnz52vx4sXq2rWrqlSpolGjRmnevHnFXa2LSktL05kzZ/Tbb78pNjY21+Ew33vvPT388MNePXaLFi0KfE1xjoRU2CNElUTn/43p1auX23UOHDigX3/9VePHjy/KquEyYpvAnh9nz57VwYMH1bp16xzLQkNDFRMTUwy1wuXuxRdf1F133aUHHnhA0dHR6tu3r6pVq6bU1FTFxcVpxYoVuv322706UYvdLVq0SI8//rjefPNNrVu3TvHx8fL399fkyZOLu2ooISZPnqzff/9dX3zxhSSpT58+LrOD2lXFihX19NNPa9q0abruuuv0+OOPq3PnzgoNDdWRI0e0a9cufffddxozZow1CZEdOCc4OnLkiOLj41WzZs1irtGVY9iwYfr3v/+tWbNmKTY2Vg8++KDq16+v7OxsHThwQKtXr1ZERITbbpmA02UV2E+ePCljjNsHdAIDA60puQFP3HHHHdqyZYumT5+utWvX6pNPPlFQUJAaN26sW265RW+//bbX76zb3W233abbbrtNa9asUcuWLdW+fXtt2LBBV199dXFXDSXEiBEjrBlO77vvPmuyr8vBm2++qS5dumjmzJn68MMPNWXKFIWEhKhVq1bq37+/PvnkkxyTsRWXtLQ03Xjjjfr1118lnbvT3rRpUzVp0kTz589XnTp1irmGl7969epp+/btevvtt7VkyRINHTpUDodDtWrVUmRkpIYPH67GjRsXdzVhc7YZJebIkSMaNmyY7rzzTg0YMMDtOidPntSDDz6oG2+8UcOGDXNZNn78eO3fv18ff/xxju2io6MVHR0t6dykGwAAAMDl4rK6wx4cHCw/Pz+lp6fnWJaenp7rwzvdunVTt27drN+5E48LhYaGKjExsbirAZuhXcAd2gXcoV3AnYiICK/sxxbDOnqiTp06SkpKylGelJSkWrVqFUONAAAAgMJz2QX2du3aKT4+XmfOnLHKEhISlJqaqhtvvLEYawYAAAB4n20Ce2ZmpqT/Tc7itGTJEo0cOVIpKSmSpMjISFWoUEHr16+31vnmm2/UoEGDi45xCgAAAFxubNGHfceOHVq1apUk6aefflK1atXUqlUrBQUFKTU1VSdOnLDGhg0KCtKECRP0ySefWOWnTp3S888/n++x3AEAAIDLhW1GiSlKPHSKC/GwENyhXcAd2gXcoV3AnRL70CkAAABQkhDYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGMEdgAAAMDGCOwAAACAjRHYAQAAABsjsAMAAAA2RmAHAAAAbIzADgAAANgYgR0AAACwMQI7AAAAYGN+xV0BSdq4caN27NihKlWqKCYmRpGRkWrRokWu68fHx2v58uWqUqWK0tLSdPToUd17770KDw8vukoDAAAARaDY77CvXbtWUVFRGjRokG6//XYNGjRI06dP165du9yun5KSogkTJujmm29Wnz59dN999+maa67Ra6+9VsQ1BwAAAApfsQb206dPKyoqSh07dlRgYKAkqVKlSmrZsqXmzJnjdptdu3YpNTVVlStXtsoaNGigv/76SykpKUVSbwAAAKCoFGtg37Ztm9LS0tSwYUOX8gYNGiguLk7x8fE5tilXrpwkKTo62iqLi4tTWFiYypYtW7gVBgAAAIpYsfZhj4uLkySFhoa6lIeFhUmSYmJiVLNmTZdljRs3Vps2bfTvf/9bGRkZatKkidauXauxY8fK4XAUSb0BAACAolKsgT01NVWSrO4wTs7fT5w44Xa7ESNG6N1339XChQsVGBiol19+WdWrVy/cygIAAADFoFgDu5/fucNfeGfc+btz+YVOnjypzMxM9enTRytWrNCLL76op556Stdff73b9aOjo60uNFOmTMlxRx/w8/OjXSAH2gXcoV3AHdoFClOxBvYKFSpIktLT013Knb+HhITk2ObUqVN66aWXNGTIELVo0UKdO3fWa6+9phkzZmjGjBmqVKlSjm26deumbt26Wb8nJiZ68VXgShAaGkq7QA60C7hDu4A7tAu4ExER4ZX9FOtDp3Xr1pUkJSUluZQ7G3zt2rVzbLNx40alpKRY47RHRERo9OjRyszM1JYtWwq1vgAAAEBRK9bA3qxZM5UtW1Z79uxxKd+zZ4/q1avn9lNJZmamsrOzXcqqV6+usmXL8tApAAAArjjFGth9fX3Vr18/bdiwQRkZGZKk5ORkbdmyRXfeeackacmSJRo5cqQ1xnrr1q3lcDi0detWaz+HDx9Wdna2WrVqVfQvAgAAAChExdqHXZJ69eolPz8/zZo1SzVr1lRMTIyGDRum1q1bSzo3ksyJEyesQB8WFqbx48dr0aJF2r59u8qWLavDhw9r3LhxPOwBAACAK47DGGOKuxJF7dChQ8VdBdgMDwvBHdoF3KFdwB3aBdy5Ih46BQAAAJA3AjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADZGYAcAAABsjMAOAAAA2BiBHQAAALAxAjsAAABgYwR2AAAAwMYI7AAAAICNEdgBAAAAGyOwAwAAADbmV9wVAAAAAIpTVlaW0tPTJUkOh8PtOsYYSZKPj48CAwNzXa8wENgBAABQYmVlZen06dMqU6ZMvkJ4VlaW0tLSVLp0afn6+hZBDekSAwAAgBIsPT0932Fdknx9fVWmTBmdOXOmkGv2PwR2AAAAlGiedm9xOBxWF5miQGAHAABAiVXQvuhF2YedwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAFBiFXR4RoZ1BAAAAGyqKMO6RGAHAABACebj46OsrCyPtsnKypKfn18h1SgnAjsAAABKrMDAQJ0+fTpfd82NMcrMzFR6eroCAgKKoHbnFN1HAwAAAMBmHA6HSpcubYX23GYwdQZ6Pz8/lSlTpkhnOiWwAwAAoETz9fVVUFBQcVcjV3SJAQAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAbI7ADAAAANkZgBwAAAGyMwA4AAADYGIEdAAAAsDECOwAAAGBjBHYAAADAxgjsAAAAgI0R2AEAAAAb80pgP3z4sDd2AwAAAOACHgf2Xbt26c0339Trr79ulZ08eVJTp07VgQMHvFo5AAAAoKTzKLBv375dEydO1KZNm3To0CGrvH79+ho4cKAmT57M3XYAAADAizwK7AsWLFDNmjX18MMPKzQ01GVZ1apV1bRpU3322WderSAAAABQkvl5snJSUpJmzJihgIAAbdu2LcfyihUrav369d6qGwAAAFDieXSHvWrVqgoICMh1+e7du5WWlnbJlQIAAABwjkeBPTw8XPHx8W6Xffnll/rjjz9Uu3Ztb9QLAAAAgDzsEjNgwABNmjRJrVq1UmJiotasWaPk5GRt3rxZcXFxcjgcGjBgQGHVFQAAAChxPArslSpV0rhx4zRv3jzt379f77//vrWsevXqGjhwoJo3b+71SgIAAAAllUeBXZJCQ0P1zDPPKD09XYcOHVJmZqZCQkIUGhqqY8eOFUYdAQAAgBLLoz7sc+fOtf4dGBiounXrqmHDhtYQj5s2bdLWrVu9WsH8SExM1C+//KK//vqryI8NAAAAFCaP7rD//fffeS6vX7++Zs6cqVatWnlUiY0bN2rHjh2qUqWKYmJiFBkZqRYtWlx0ux9//FFLly5Vq1at1LFjR1WuXNmj4wIAAAB2d9HA/tNPP1l3zffv36+ZM2e6Xe/MmTP6448/lJGR4VEF1q5dq0WLFmn69OkKDAxUUlKSnnnmGY0dO1aNGzd2u012drY++OADbd++XWPGjFH16tU9OiYAAABwubhoYL/++ut18OBBLVy4UJLynBjJ4XCoX79++T746dOnFRUVpe7duyswMFDSuQdbW7ZsqTlz5mjq1Klut5s/f77Wr1+vKVOmENYBAABwRbtoYHeG8LCwMK1evVr33HOP+x35+aly5coqX758vg++bds2paWlqWHDhi7lDRo00MaNGxUfH6+aNWu6LDt48KCWLl2qyMhI1ahRI9/HAgAAAC5H+e7DfuONN6patWqqV69eruskJiYqOztbPj75e5Y1Li5OkqyHVp3CwsIkSTExMTkC+9q1a5Wdna3MzExNmzZNe/bska+vr2699Vb16NEjvy8HAAAAuCx49NBpXmFdkmJjY7VkyRINHTo0X/tLTU2VJKs7jJPz9xMnTuTYZvfu3fLx8VGHDh2sMd8XLVqkOXPmKDg4WB06dMjXsQEAAIDLgcfjsG/cuNF6uNQYY5VnZ2drz549Sk5Ozndg9/M7d3iHw+FS7vzdufx8KSkpqlGjhssETXfccYeio6O1bNkyt4E9Ojpa0dHRkqQpU6bkuKMP+Pn50S6QA+0C7tAu4A7tAoXJo8AeHR2t2bNn57lO27Zt872/ChUqSJLS09Ndyp2/h4SE5NgmODhYmZmZLmW+vr6qXbu2/vjjD7fH6datm7p162b9npiYmO86omQIDQ2lXSAH2gXcoV3AHdoF3ImIiPDKfjwK7OvWrdOIESNUp04d7dmzRz4+PmrQoIEk6fjx41qzZk2+765LUt26dSVJSUlJqlWrllXubPC1a9fOsU1ERIR27NiRo7x06dIKCgry5OUAAAAAtufRTKeNGjVS27ZtVblyZbVv315xcXEKCwtTWFiYGjRooObNm2vx4sX53l+zZs1UtmxZ7dmzx6V8z549qlevnttPJR06dNCxY8d06NAhl/Lk5GTVr1/fk5cDAAAA2J5HgT07O/t/G/r4KCgoSDt37rTKfH198xyn/UK+vr7q16+fNmzYYE24lJycrC1btujOO++UJC1ZskQjR45USkqKJKl58+Zq3Lixli1bZu3n8OHDio2N1YABAzx5OQAAAIDtedQlJjs7WxMmTJCPj4+efPJJ3XTTTRo5cqSuv/56BQcHa82aNTp16pRHFejVq5f8/Pw0a9Ys1axZUzExMRo2bJhat24t6dxIMidOnLACvcPh0HPPPaeoqCi98847CgkJ0ZEjR/TCCy/kGAISAAAAuNw5zPlDvVzEiRMn9PLLLyshIUGvvvqq6tSpo19++UXTpk2zHgTt1KmTHn/88UKrsDdc2J0G4GEhuEO7gDu0C7hDu4A73nro1KPALp27y37q1CkFBwdbZYcOHdIvv/yiihUrqn379vmeOKm4ENhxIS60cId2AXdoF3CHdgF3imWUGOlc3/Xzw7qzMs4K7dy5U02aNPFK5QAAAICSzuu3wlesWOHtXQIAAAAlVr4Ce1ZWllJTU/NcJzs7W1FRUdq0aZNXKgYAAAAgH11ioqOjFRUVpfT0dFWuXFlPP/20NeGRU2Jiot566y3t3r270CoKAAAAlER53mHfv3+/PvjgA6Wnp0uS/v77b5cRYSTp559/1rPPPqvdu3erbNmyeu655wq3xgAAAEAJkucd9m+++UYBAQHq37+/atSooZ07d2rp0qX69ddf1bJlS82dO1erV6+WdG5CoyeeeEIVKlQoinoDAAAAJUKegX3Xrl165JFH1KFDB0lSixYtlJ2drfXr12vhwoWKj4+Xn5+f7r77bvXu3btIKgwAAACUJHkG9pSUFLVt29alrHPnzho5cqSkc8M5PvXUU6pTp07h1RAAAAAowfIM7IGBgfLzc12levXqCggI0A033KAhQ4aoVKlSLss3b96sNm3aeL+mAAAAQAmU50Onuc1YWr16dT366KM5wrok/fjjj96pGQAAAIC877AfPnxYL7zwggICAlzKExISNGHCBJcyY4ySk5N1+PBhPfXUU96vKQAAAFACXXQc9r1797ot37lzp9crAwAAAMDVRfuwd+zYUeXKlZPD4chzR9nZ2UpKSqJLDAAAAOBFeQb2Ll26aPDgwR7tsHTp0pdSHwAAAADnyfOh05tuusnjHfbs2bPAlQEAAADgKs/AHhER4fEOq1SpUuDKAAAAAHCVZ2AHAAAAULwI7AAAAICNEdgBAAAAGyOwAwAAADZGYAeA/9fevcdFWeb/H38Pp1DBAwIhKh5R0zwgWWqmSZpmBy3TNktNs9bKtsxObkd1dbV2tbW+mR3MjVrLw66pmXlMKlMzc9NtTYSQVDygCIggAtfvD38z2zgjMjgDt/B6Ph48Hs51H+Yz48XNe+657usGAMDCLnin09+y393Uz89Pbdq0kSTt2bNHb731lrKysnTNNddo9OjRCgoK8n6lAAAAQDXk0Rn2SZMmKSkpSaGhoZKkEydOaMaMGcrIyFDXrl1VUFCgf/zjHz4pFAAAAKiOPDrDHh8fr7Fjxzoev//++zp58qRGjBihm2++WZL03nvvebdCAAAAoBrz6Ax7bGys4987duzQ5s2bFR0d7XR30xo1anivOgAAAKCa8yiwHzhwQNnZ2UpNTdWcOXNks9k0ZswY+fmd3U1xcbF++OEHnxQKAAAAVEceDYnp2rWrHn74YRUVFcnPz08jR45Uu3btVFRUpJ07d2rJkiVKT0/3Va0AAABAteNRYL/qqqv02muvKTU1VTExMWrQoIEk6ejRozp58qT69eunfv36+aRQAAAAoDryKLBLUkREhCIiIpzaGjRo4AjvAAAAALzH48B+rsLCQq1atUrHjx/XNddcoyuuuMIbdQEAAACQh4F93LhxqlOnjhISEnTDDTfIGKMZM2Zo165dCg4O1rp16/Too4/q6quv9lW9AAAAQLXiUWD39/fXxIkTFRISIklatWqVdu3apU6dOunJJ5/U6dOn9c477xDYAQAAAC/xKLB369bNEdazsrL08ccfKygoSL///e8VGBiowMBARUdH+6RQAAAAoDryaB724uJiSZIxRnPnzlVBQYEGDRqksLAwxzoHDx70boUAAABANebRGfbi4mJNmzZN2dnZSktLU9u2bTVo0CDH8lWrVmnLli3erhEAAACotjwK7Pfcc48+/fRTJScnq3Pnzho0aJD8/f2Vnp6uTz/9VCdOnFC7du18VSsAAABQ7diMMaayi6hoDNvBucLDw5WZmVnZZcBi6Bdwh34Bd+gXcMdb13Z6NIbd7uTJk9q/f7/j8ebNm5WWluaVggAAAAD8j8cXnb777rt68MEHNXPmTEf7VVddpRUrVuif//yn1wsEAAAAqjOPAvuSJUu0Zs0aGWPk7+/vaA8ICNBDDz2kpKQkbdq0yetFAgAAANWVR4F948aNGjZsmObPn6/IyEinZf7+/oqLi9OKFSu8WiAAAABQnXk0S0xwcLAGDhwoSbLZbC7LS0pKdODAAe9UBgAAAMCzM+y/vUHSuZPL5Ofna+vWrQoI8OgzAAAAAIBSeBTY27dvr0WLFklyPsOelpamyZMn6/jx4+rcubN3KwQAAACqMY9Oh99yyy1688039cADD8gYoxdeeEFZWVk6evSoJCkqKkr33HOPTwoFAAAAqiOPArufn5/GjRun77//Xl999ZV+/fVX+fv7q127durUqZNuvPFGBQcH+6pWAAAAoNop14Dz+Ph4xcfHe7sWAAAAAOfw+E6nq1at0oIFC5za9uzZoxUrVqikpMRrhQEAAADwMLCvXr1a77//vlauXKmioiJHe6tWrdSsWTP96U9/UmFhodeLBAAAAKorjwL7unXr1L9/f02dOtVl+sZ27dopMDBQS5cu9WZ9AAAAQLXmUWCPjo7WqFGjFBMT43Z5RESEvvrqK68UBgAAAMDDwO7v71/q8l9++UVZWVkXVRAAAACA//EosNeuXVu7du1yu2zlypXau3fvec++AwAAAPCcR9M6Dh48WM8995xatWqlDh06KCQkREeOHNE333yj3bt3y2azaciQIb6qFQAAAKh2PArstWrV0osvvqi3335br7/+utOyOnXqaPTo0YqLi/NqgQAAAEB15vGNk8LCwvTss8/q+PHjSk1NVUFBgerXr6/Y2FiXmWMAAAAAXByPE3ZxcbHy8vIUFhamsLAwSVJ6erpOnz5NYAcAAAC8zKOLTg8fPqyHH35Yjz32mNONk6KiovThhx/qhx9+8HqBAAAAQHXmUWBfsGCBcnJy1LlzZ6ez6UFBQRo9erTef/997d271+tFAgAAANWVR4E9KytLb731lh599FGXZYGBgWrbtq0WLFjgteIAAACA6s6jwB4REaE6deqcd/mZM2eUkpJy0UUBAAAAOMujwF5UVKQzZ864XXbixAlt375dgYGBXikMAAAAgIeBvVevXvrLX/6iI0eOOLXv3LlTkydP1qlTp9S1a1evFggAAABUZx7NwxgXF6f09HQ9/vjjioiIcNzpNCcnR5LUvHlz3X333R4XsWnTJu3cuVNRUVFKSUlRQkKCOnXqVKZts7OzNWHCBE2bNk2RkZEePzcAAABgZR5PnD5w4EBdeeWVWrNmjX755RfVrFlTjRs3VpcuXdS3b1+P52Jfv369Fi1apFmzZik4OFjHjh3TE088oYkTJ6pNmzYX3H7u3LmODwwAAABAVVOuOx21aNFCLVq0cGk/deqUR4E9Pz9fiYmJ6tu3r4KDgyVJ9evXV1xcnObNm6dXXnml1O3XrVunqKgoz4oHAAAALiEejWG/kK1bt3o0S8yOHTuUl5enVq1aObXHxsYqLS1N6enp59320KFD2r9/v+Lj48tdLwAAAGB1Hp1hHzdu3HmXlZSUKCsrS7fffrvbs+/upKWlSZLCw8Od2iMiIiRJKSkpiomJcftcixYt0gMPPMA0kgAAAKjSPArsR48eLXV5ZGSkfvnllzLvLzc3V5Icw2Hs7I+zs7Pdbrds2TKnYTQAAABAVeVRYL/pppt07733uh2nfvDgQS1evFhjx44t+5P///3YbDandvtjd8+TmpqqgoKCMl2Qard27VqtXbtWkjR9+nSXM/pAQEAA/QIu6Bdwh34Bd+gX8CWPAnuvXr3Oe1FpdHS0WrdurY8++kijRo0q0/7q1q0rSSooKHBqtz8OCwtzai8sLNSyZctKHZrjTp8+fdSnTx/H48zMTI+2R9UXHh5Ov4AL+gXcoV/AHfoF3ImOjvbKfjwK7M2aNSt1eZ06dbRw4cIyB/bmzZtLko4dO6YmTZo42u0dvmnTpk7r7927V1u3bnXaf0lJiSRpwoQJkqTExMQyPTcAAABwKfAosP/000/nXZadna2PP/5Yfn5ln3imffv2Cg0NVXJysjp37uxoT05OVosWLVw+lbRs2VIzZ850aktOTtbrr7+uiRMnupyRBwAAAC51HgX2SZMmXXCdQYMGlXl//v7+Gjx4sD777DPdfvvtCgoKUlZWlrZt26bHHntMkrR06VJ99dVXeumll1S7dm2XedePHTsm6exXUdzpFAAAAFWNR4G9Vq1a6tixowIDA12WBQcH64orrlC3bt08KmDAgAEKCAjQ3LlzFRMTo5SUFI0bN84xv3pubq6ys7NVWFjo0X4BAACAqsBmjDFlXXndunW64YYbfFlPhTh48GBllwCL4WIhuEO/gDv0C7hDv4A73rro1KM7nVaFsA4AAABcSjwaEnOuM2fOaMuWLTp+/LhatGihdu3aeasuAAAAALpAYH/zzTd14sQJZWVlKSgoSP3799d1110n6ezUi1OmTNGhQ4cc63fv3t1xsSgAAACAi1dqYN+4caNsNpvuvvtu3XrrrY4pGwsLCzV16lQdOnRI/v7+6tChg86cOaNNmzapdevW6t+/f4UUDwAAAFR1FxwSM2jQIA0cONCpbfHixTp48KCCg4P1wgsvqGXLlpKkpKQkLV++nMAOAAAAeEmpF53abDbddtttTm2HDx/WZ599Jkm6//77HWFdknr27KmCggIflAkAAABUT6UG9pCQENWsWdOp7YMPPlBRUZHatm2rnj17umwTFBTk3QoBAACAaqzUwB4cHKwjR444Hn/11Vfatm2bJOmee+5xWf/06dM6fPiwl0sEAAAAqq9Sx7B37NhRU6dOVb9+/XTo0CGtWbNG0tmhL78dCmO3fPlynTlzxjeVAgAAANVQqWfY7777btlsNv3973/XF198oZKSErVu3Vr333+/y7qrV6/W4sWLfVYoAAAAUB2VeoY9JCREr776qrZs2aLMzEw1atRI8fHxstlsjnWysrI0e/ZsHT9+XJ06dVKDBg18XjQAAABQXVxwWsfAwED16NHjvMtr166t559/Xv7+/l4tDAAAAEAZAvuFENQBAAAA3yl1DDsAAACAykVgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYWEBlFyBJmzZt0s6dOxUVFaWUlBQlJCSoU6dO510/LS1NiYmJSk1NVVBQkOLj4zVs2DCFhIRUXNEAAABABaj0M+zr169XYmKiRo4cqYEDB2rkyJGaNWuWdu/e7Xb9o0eP6t1331WPHj00ZswYtWnTRmvXrtWsWbMquHIAAADA9yr1DHt+fr4SExPVt29fBQcHS5Lq16+vuLg4zZs3T6+88orLNqtXr9aTTz6punXrSpKuvfZaFRQU6IcfftCRI0cUGRlZkS8BAAAA8KlKPcO+Y8cO5eXlqVWrVk7tsbGxSktLU3p6uss2HTt2dIR1O/vwmby8PF+VCgAAAFSKSg3saWlpkqTw8HCn9oiICElSSkqKyzZXXnmlS1thYaFq1aqlhg0ber9IAAAAoBJVamDPzc2VJMdwGDv74+zs7DLtZ9euXbrlllsUFBTk3QIBAACASlapY9gDAs4+vc1mc2q3P7YvL01ycrIKCgo0cODA866zdu1arV27VpI0ffp0lzP6QEBAAP0CLugXcId+AXfoF/ClSg3s9rHoBQUFTu32x2FhYaVuf/LkSS1ZskRPPfVUqeG+T58+6tOnj+NxZmZmOStGVRUeHk6/gAv6BdyhX8Ad+gXciY6O9sp+KnVITPPmzSVJx44dc2q3d/imTZued9vCwkLNnz9fY8aMUe3atX1WIwAAAFCZKjWwt2/fXqGhoUpOTnZqT05OVosWLc77qaSoqEjz5s3T0KFDnb5+ysjIUGFhoU9rBgAAACpSpQZ2f39/DR48WElJSY6gnZWVpW3btunOO++UJC1dulQTJkxQTk6OJKm4uFivvfaaIiMjlZqaqs2bN2vz5s3asGGDlixZwoWnAAAAqFIqdQy7JA0YMEABAQGaO3euYmJilJKSonHjxik+Pl7S2ZlksrOzHYF+zpw52rp1q7Zu3eqyr7Fjx1Zo7QAAAICv2YwxprKLqGgHDx6s7BJgMVwsBHfoF3CHfgF36Bdwp0pcdAoAAACgdAR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWBiBHQAAALAwAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAAAAWFhAZRcgSZs2bdLOnTsVFRWllJQUJSQkqFOnTudd/8SJE1q4cKEiIyOVk5Oj06dPa/jw4QoODq64ogEAAIAKUOln2NevX6/ExESNHDlSAwcO1MiRIzVr1izt3r3b7fr5+fmaMmWKGjVqpEGDBmnEiBHy9/fXzJkzK7hyAAAAwPcqNbDn5+crMTFR1113nePseP369RUXF6d58+a53WblypXKyMhQQkKCo61fv37asWOHvvvuuwqpGwAAAKgolRrYd+zYoby8PLVq1cqpPTY2VmlpaUpPT3fZ5ptvvlHjxo2dhr80bNhQtWrVUlJSks9rBgAAACpSpQb2tLQ0SVJ4eLhTe0REhCQpJSXFqf3MmTM6cOCA6tev77Kv8PBwl/UBAACAS12lBvbc3FxJcrlY1P44Ozvbqf3kyZMyxqhGjRou+woODnZZHwAAALjUVeosMQEBZ5/eZrM5tdsf25fbBQYGul3f3nbu+nZr167V2rVrJUnTp09XdHT0xRWOKol+AXfoF3CHfgF36BfwlUo9w163bl1JUkFBgVO7/XFYWJhTe0hIiAICAlzWt29z7vp2ffr00fTp0zV9+nQ9++yzXqgcVQ39Au7QL+AO/QLu0C/gjrf6RaUG9ubNm0uSjh075tSemZkpSWratKnLNs2aNXNZ376PJk2aeL9IAAAAoBJVamBv3769QkNDlZyc7NSenJysFi1auP1qqVu3bkpPT9fp06cdbRkZGcrNzVXPnj19XjMAAABQkSo1sPv7+2vw4MFKSkpSYWGhJCkrK0vbtm3TnXfeKUlaunSpJkyYoJycHElSQkKC6tatq40bNzr2s3r1asXGxpZ6d1S7Pn36eP+F4JJHv4A79Au4Q7+AO/QLuOOtfmEzxhiv7OkirF69Wj///LNiYmKUkpKiHj166Oqrr5YkJSYmauPGjZo+fbpj+sfMzEx9+OGHatiwoQoLC5WTk6MRI0aoVq1alfkyAAAAAK+zRGAHAKAqyMzM1L59+xQZGanGjRtXdjkAqohKndbRFzZt2qSdO3cqKipKKSkpSkhIKHWozIkTJ7Rw4UJFRkYqJydHp0+f1vDhw13mhselzdN+kZaWpsTERKWmpiooKEjx8fEaNmyYQkJCKq5o+JSnfeK3srOzNWHCBE2bNk2RkZG+LRQVqrz94ttvv9Xy5cvVuXNnXXfddbr88st9XywqjKf9Ij09XStXrlRUVJTy8vJ09OhRDRs2jONFFXTixAmtWLFC9erV080333zBdcudOU0Vsm7dOjN27FiTn59vjDEmMzPTjBgxwvz3v/91u/6pU6fME088YT777DNH23vvvWemTp1aIfWiYnjaL44cOWKee+45s379evP111+bmTNnmiFDhpjJkydXZNnwIU/7xLlmzJhhhgwZYg4fPuzLMlHBytMviouLzdy5c80jjzxifv3114oqFRXI036RnZ1tRo8ebVJTUx1t69evN0888USF1IuKs337djN79mwzZMgQ88knn5S67sVmzkq96NSb8vPzlZiYqOuuu87xSaV+/fqKi4vTvHnz3G6zcuVKZWRkKCEhwdHWr18/7dixQ999912F1A3fKk+/WL16tZ588kn17t1b1157rcaPH6+4uDjt3LlTR44cqcjy4QPl6RO/tW7dOkVFRfm6TFSw8vaLBQsWaOPGjXrmmWfUqFGjiioXFaQ8/WL37t3Kzc11+pYlNjZWv/76q2MCDVQNcXFxGjJkSJnWvdjMWWUC+44dO5SXl6dWrVo5tcfGxiotLU3p6eku23zzzTdq3Lix01cRDRs2VK1atZSUlOTzmuF75ekXHTt2dNzUy87+1WdeXp6vSkUFKU+fsDt06JD279+v+Ph4X5eJClaefnHgwAEtX75cvXr1Yrx6FVWeflG7dm1JctxhXTo7zDIiIkKhoaG+LRgVzs+vbFH6YjNnlQnsaWlpkuSYScYuIiJCkpSSkuLUfubMGR04cED169d32Vd4eLjL+rg0edovJOnKK690aSssLFStWrXUsGFD7xeJClWePiFJJSUlWrRoke666y6f1ofKUZ5+sX79epWUlKioqEgzZ87UQw89pHHjxmnVqlU+rxcVozz9ok2bNurSpYs++ugjLV68WD/99JPWr1+viRMnymaz+bxmWI83MmeVueg0NzdXklwG7tsfZ2dnO7WfPHlSxhjVqFHDZV/BwcE6ePCgjypFRfK0X5zPrl27dMsttygoKMi7BaLClbdPLFu2TH379uWC9CqqPP1iz5498vPzU48ePdShQwdJ0qJFizRv3jyFhISoR48ePq4avlbe48X48eM1Z84cLVy4UMHBwXr55ZcZMlWNeSNzVpkz7AEBZz97nPvp1f7YvtwuMDDQ7fr2tnPXx6XJ037hTnJysgoKCjRw4EDvF4gKV54+kZqaqoKCArVp08b3BaJSlKdf5OTkqHHjxo6wLkl33HGH6tWrpxUrVviwWlSU8v4NOXnypIqKijRo0CAZY/TCCy9oy5Ytvi0WluWNzFllArt9zHFBQYFTu/1xWFiYU3tISIgCAgJc1rdvc+76uDR52i/OdfLkSS1ZskRPPfUUH+KqCE/7RGFhoZYtW+a4+zKqpvIcK0JCQlzGr/r7+6tp06Z8S1tFlKdfnDp1Si+99JJ69+6tYcOGacaMGQoPD9fs2bN17Ngxn9cM6/FG5qwygb158+aS5PLLkJmZKUlq2rSpyzbNmjVz+8tz7NgxNWnSxPtFosKVp1/YFRYWav78+RozZozjIiJc+jztE3v37tXWrVs1atQoDR8+XMOHD9e0adMkSRMmTNDw4cN9XzR8rjzHiujoaLdDImrUqKGaNWt6v0hUuPL0i02bNiknJ8cxWUF0dLSeeuopFRUVadu2bT6tF9Z1sZmzygT29u3bKzQ0VMnJyU7tycnJatGihaKjo1226datm9LT03X69GlHW0ZGhnJzc9WzZ0+f1wzfK0+/kKSioiLNmzdPQ4cOdbrYKCMjQ4WFhT6tGb7laZ9o2bKlZs6cqVdffdXxM3bsWEnSxIkT9eqrr1ZY7fCd8hwrevTooePHj7ucTc/KylLLli19Wi8qRnn6RVFRkUpKSpzaGjVqpNDQUC46rcYuNnNWmcDu7++vwYMHKykpyRGosrKytG3bNsdX2UuXLtWECRMc86AmJCSobt262rhxo2M/q1evVmxsbJnveAhrK0+/KC4u1muvvabIyEilpqZq8+bN2rx5szZs2KAlS5Zw4eklztM+ERQUpKioKKcf+9eX4eHhzMleRZTnWNGhQwe1adPGabz6oUOHlJqaqqFDh1b8i4DXladfxMfHy2azafv27Y79HDp0SCUlJercuXPFvwj4VFFRkSTJGOPU7u3MWaUG5Q4YMEABAQGaO3euYmJilJKSonHjxjnmTM7NzVV2drbjl65mzZqaNGmSPvzwQ0f7qVOn9Mc//rHM82rC+jztF3PmzNHWrVu1detWl33Zz6zi0uZpn0D14Gm/sNlseuaZZ5SYmKg33nhDYWFhOnLkiJ577jnFxMRU5kuBF3naLyIiIvTiiy9q0aJF+vHHHxUaGqpDhw7p+eefd5keEpe2nTt36osvvpAkbd68WQ0bNlTnzp1Vs2ZNr2dOmzn3IwEAAAAAy+A0MgAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAF3Tq1Cl16dJFsbGxOnTo0EXtKz8/X2vWrNGTTz6p2NhYpaenOy3PyMhQy5Yt1aVLF506deqinutCjDG65ZZb1KBBA+3cudOnz1WRtm/frtTU1MouAwDgJQR2ABf0n//8R9u2bdPevXv19ddfl3s/RUVF+stf/qKZM2fqr3/9q/bu3auSkhKndb7++mulpKRo27Zt+umnny629FJlZmbqs88+06FDh/TFF1/49LnOxxijuXPn6uqrr1ZISIhq1qypTp066a9//auKiopK3a59+/ay2WwuP7fffruaNGlS6vP+9NNPatasmcu2cXFxmj59utttnn/+ebVr186xbr169bR48eKLev0AgDIwgIVlZGRUdgle5e3XU1Hvz5kzZ8xdd91lBgwYYLKzsy96f8ePHzeSjCTzyy+/OC3Lysoy/fv3N8OGDTNnzpy56Oe6kEcffdT06tXL7Nu3z+1yX7/H9957r5FkAgMDTWBgoON9kWRuvPFGU1hY6Ha7ZcuWOa3725+ZM2eW6blLSkrMhAkTHNt16tTpgtucOHHCSDLt27c3J06c8Oi1WgHHFHiK9xhWQGCHZWVnZ5uEhITKLsNr9u3bZ26//Xav7e9Sf3/OF9itxNfv8fz5803r1q3Nhg0bTFFRkTlz5ozZunWrufbaax3vz2uvveZ222uvvda8++67Jisry+knJyfHoxoKCgpMkyZNHB8ajh49Wur6e/bsMZLMmjVrPHoeK9i2bZt58MEHK7sMr1m2bJl5+eWXK7uMKs3bx22gvBgSA0syxmj06NFKSUmp7FK8orCwUL/73e90/Phxr+yvqr0/VlQR7/GsWbO0atUqXX/99fL391dAQIC6dOmiVatWOYa0uBtykpSUpIyMDN13332qW7eu009oaKhHNVx22WWaOHGiJOnMmTN65513Sl1/4cKF6tChg/r06ePR81S2rKws/e53v9Pp06cruxSv+OWXXzRq1CgZYyq7lCrL28dt4GIQ2GE5JSUleuyxx7RkyZLKLsUrCgoKNGzYMH377bde2V9Ve39Kc+749op6rop4j3fu3KnbbrtNTZs2dVkWEhKi3/3ud5LOjrM/1/Tp05Wfn68HH3xQ7733nn799deLquW+++5TVFSUJGn27NkqLCx0u15JSYneeecdPfTQQxf1fBXtxIkTuvXWW7V3797KLsUr9u/fr5tuuknHjh2r7FKqLG8ft4GLVrkn+AFXc+bMMR07djSSzGWXXWZ69eplevXqZT744APHOqdOnTIzZ8401157rbnhhhtMw4YNTffu3c0XX3zhsr+srCwzc+ZMM3ToUGOMMX//+99NgwYNTNOmTU1qaqpjvZKSEjN79mzTvXt3061bN9OqVSvz/PPPmwMHDpy31l27dpmRI0ea/v37m0aNGpnWrVubadOmOY07fumll0zr1q2NJFOnTh3H61m9erVP3p+SkhLz+eefm5tuusn85z//MXv37jXXXnutCQkJMW+++aZjPz///LMZM2aM6dmzp+natauJjo42I0aMcDteMz8/3yxatMgMGjTIfPPNN+Wq+1w6z5CY5ORkM3XqVNO+fXvz5ZdfOtozMzPNRx99ZO69914TGRlpCgoKzKpVq8wNN9xgQkNDTe3atc3w4cNNXl6eMcaY1atXm/79+5s6deqYOnXqmD/84Q+muLjY6bmOHTtm3n77bXPDDTeYKVOmONrL0gcv1unTp01+fv55l7/55ptGkrnpppuc2nfs2OF23HpCQoLZtWtXuev585//7NjXu+++63adTz/91ISGhp532I23fi+3bdtm6tev76gnICDAdOnSxWn7oUOHGn9/fyPJPPvss6W+tt///veOYT+XX3654//zxx9/dKyzf/9+88QTT5hrr73W9OjRwzRo0MDcfvvtZs+ePS77S0lJMRMmTDB/+tOfTHFxsXn88cdN7dq1Te/evZ2uu8jOzjaPP/646d69u+nYsaPp0qWLeeutt8zJkyfPW+vy5cvNHXfcYRISEkxkZKS55pprzMKFCx3Lz5w5Y+68805z+eWXG0mmSZMmjtdz5MiRUt+H0hQUFJglS5aYRx991BhjzGeffWa6du1qatSoYWJiYswLL7xgTp8+7bLdyZMnzcsvv2xuueUW06lTJxMZGWnuvvtup2Or3TfffGPuuusus2rVKnPkyBEzYMAAU6tWLTNx4kSn9ZKSkszAgQPN9ddfb7p27Wo6dOhgZs6caQoKClz2WZZj8OHDh80HH3xg7rnnHhMZGWlOnjxp1qxZY3r37m1q1qxpoqKizJ///Gen/ZbluH38+HHz8ssvm+7du5vrr7/eNGjQwPTt29ds3br1vO/z6tWrTUJCgunRo4dp3ry5GT16tPnhhx/Ou35mZqaZMGGCufnmm03btm1NdHS0efDBBy/q/xqXJgI7LGnDhg2OP0bnKiwsNN26dTN169Y16enpxpizf/zbtm1r/P39zVdffWWMMaaoqMiMHz/ehIWFGUkmPj7e/POf/zSRkZGOIDB37lzHfh966CETGxtrsrKyjDFn/3BKMn5+fqZDhw6mV69e5vXXX3esv3LlStO6dWuzd+9eR12DBw82ksxtt91mSkpKHOu+//77RpLp1auXT9+fTz75xFxzzTWO15eUlGSuuOIKExISYiSZbt26GWOM2bJli6lZs6YZMmSIKSoqMsYY88UXXxhJ5sorr3T6YzdnzhzTvn17xz43bNjgldfgLrDPnDnT9O/f3+1zffHFF+aZZ55xLBs/frwZO3asWbNmjdm0aZPp0aOHkWTGjBljnnzySTN16lSzbds2s2rVKtOqVSsjyfztb39z7G/58uVm+PDhJigoyEgyL730Upne44ry4osvGknm7bffdmpPTU0177//vvnzn/9sBg0aZGrWrOl4Ty677DKzatWqcj3fiRMnTO3atY0k06ZNG6f+a9evXz/z0EMPud3e27+XBw4ccKxz3333uX3OW2+9tcxj0l966SUjyYwcOdJlWWpqqomIiDDdu3d3hMIff/zRBAcHm6ioKHP8+HFjzNmgft999zk+KEyYMME89thjJiIiwlH7zz//bIw5++ElPj7eDB061PFePvnkk0aSCQoKMt26dTO9evVyvC/GnP0/79evn8nNzTXGnL3Y0d53//KXvzjVPHLkSLf9tjweeeQRU7duXUd/f+ONN0xgYKCJiYkxl112meO1DRo0yGm7Y8eOmU6dOpl33nnH0bZkyRIjyYSFhTneizVr1pi+ffs69rNkyRLTvXt3x3M2aNDAsf2kSZPMFVdcYXbv3u1ou+eee4wkc/311zv1y7Ieg3/++WfHMViSefLJJ82jjz5qtm7dahYtWmTCw8ONJPPZZ585vb7SjtvHjx83LVu2NC1atHD8zfj1119NZGSkqVWrlqOm31qwYIEJCgoyO3bsMMYY88svvzieu2nTpqZXr17m/vvvd6z/yy+/mJYtW5qVK1c62mbOnGkkmebNmxPaqxkCOyyptLC0YsUKxwHrt1555RW3f5Dnz59vJJmYmBjz9NNPm+LiYpOYmGi6devm+IOybt06I8lMnjzZadvrr7/eSDKPP/64U/vBgwdN3bp1zaJFi5zaf/rpJ8cfhd8e/CsqsBtzNijYQ9ztt99u0tPTTWpqqunbt6+ZPXu2McaYO++80+3rbdu2rdtQnpeXZ4KDg30e2I05+w1BnTp1zluHfbtz3/stW7Y4ln3yySdOyxYuXGgkma5du7rUcdttt3kc2O1hqTw/7gKjOwkJCSY6OrrUs7HGnA3Fzz//vGOGmVq1apnk5OQyPce5nn76aUedn376qdOyvXv3GpvN5nRW+rd88Xv5/PPPO/4Pzv125PTp06ZevXrmP//5T5leW2mB3R6kR48e7dQ+YMAAI8m8//77Tu333Xefkc7OqvPBBx+YoqIi8/TTT5ubbrrJcRb6hRdecHxotsvLyzO1atUykszSpUud9vnZZ5+Zyy67zOzfv9+p3f5NS40aNUxmZqaj3ZuB/cyZM+Yvf/mLkWSCg4PN/fffbw4fPmyMORvKb7nlFke/WLBggWO7oUOHmptvvtllf1dffbWRZIYMGeJoKy4uNs2bNzeSTO/evc2///1vc/ToUXPHHXc4viGZN2+esdls5vvvv3fan/1kgiRH3/b0GHz69GlH+7x585y2mTFjhpFk7rjjDqf20o7bb7zxhpHkclH6ww8/7Pb/JSsry9SuXdtl/ZdfftnRl36rpKTEXHPNNeaRRx5xai8uLjZRUVFGknnqqadc6kLVxRh2XHIiIyPl7++vyMhIp/aIiAhJ0sGDB53aY2JiJEnHjx/X5MmT5efnp3vvvVebNm1Sq1atJEkLFiyQJMc4Xru77rpLkrRp0yan9tdff115eXkaMGCAU/sVV1yhsLAwSdKnn35a7td4MWrUqKHw8HBJ0uDBg9W4cWM1a9ZMq1ev1qOPPipJatCggaT/vWd253sPa9as6fJ++4rNZlPdunXdLqtZs6bj31dddZXTsrZt2zr+ffXVVzstu+KKKyRJ//3vf132Wa9ePY9rbNCggVq3bl2uH/t7X5qUlBRt2LBBb731lmrVqlXqunXr1tWUKVO0YcMGhYSEKC8vT9OmTfP4NUnS448/rssuu0yS9MorrzgtmzNnjrp376727du73dYXv5ePPvqogoODtW/fPq1YscJp+y+++EJNmzZ1+n8vL/v/iae1h4eHa/jw4fL399eMGTO0cuVKBQUFSXJ/TKlZs6ZuueUWSa7HlD/96U+66qqr1LBhQ6f2Hj16SDp7w7HVq1eX/0WWIiAgQHFxcZLOXj/xzjvvON6LsLAwLViwwPE7+d5770mSfv75Zy1atEiDBg1y2Z+95mXLljna/Pz81KhRI0nSDTfcoA4dOig8PFxLlizRn//8ZxUWFuqZZ55Rz5491blzZ6f99e3bVxMnTtQf//hHNW/eXJLnx2D7/4sk9e7d22kbe5/25AJzT/vMZ599ppycnPP+jdmxY4fy8/Md7WvWrNGWLVtc3l8/Pz91795dUuX9jUHlCKjsAgBPdenSRfv27VP9+vUdbRkZGfrqq68knZ3p4rdsNpskqX79+o4wcq59+/ZJkstsAFdeeaWksxet/dbKlSvl5+fn8sfC/jyhoaGl3vTG1+yv+dw//nazZs3S+PHj1axZM0fbt99+67h48dz38Lf7tKqQkJALLsvJyfHKc/35z3/Wn//8Z6/sy53x48dr4sSJuvXWW8u8zbXXXqspU6Zo/PjxSkpKKtfzNmjQQMOHD9e7776rb775Rt9++626deumgoICvf/++5o9e/Z5t/XF72VkZKSGDx+ud955R3/729902223OZZ9/PHHuueee8r1Os/1xBNPaNCgQU6/Dzt37nR8wDtf7ef7/ZJKP6Z88sknTseUrKwsbd68WZGRkbr++uud1i8pKXHMGHTy5EnPXpgH/PzOnr+rVauWy+96SEiIRo4cqb/97W/avn27JOnzzz+XMUZvvPGGPvzwQ6f1c3JyHDVnZWU5PhSX9r4lJSXp6NGjbj+A2Ww2lw+h3jwG16hRQ5KUnZ1dpvUl6Y477tAvv/zi+BAiyXHDN8m1z5yvP7Ru3VqBgYE6c+aMTpw44ahl5cqVks7erOxPf/qT0zbHjx9XkyZNFBBAhKtO+N/GJcl+wF+1apX+/ve/q0GDBo4zHaYc05zZz0jv2bPHqd1+tiQ6Otqpfe/evQoLC9OXX37p8XNZgb+/v5o1a6acnBy9++672rhxo/r376+wsDClpqZW2aniLoXX9be//U316tVz+SNdFiNHjtSECRO0f//+cj//U089pXnz5qmkpESvvPKK/vWvf2nBggXy8/PTnXfeWeq23v69lKQJEybo3Xff1fr167Vr1y5deeWVys/P14oVK/Tqq6+Wa5/uNG/eXKdPn1ZiYqJWrFih7t276/LLLy937eHh4crIyNCePXt0zTXXONrdHVNSUlJkjFFCQoL+8Y9/XOQr8Y2OHTtK+t+HXvuMO6+88opuvPHGi96//cNRWb/x8sUx2NP/56ZNm6q4uFgLFy7UJ598onbt2jnOoJ+7r/P9jbHZbKpfv76ysrKcPuza398PPvjA8Y0TqjeGxOCS9OOPP6pLly56/fXXNWvWLM2cOVOtW7cu9/7sZ+7+9a9/qaCgwNGenp4u6ezZlN8qLCxUVlZWhU476G1vvvmmWrZsKX9/f/3rX//SQw89dMHhF/Ctf/7zn9qyZYvmzZtXrm806tWrp/DwcNWpU6fcNbRq1Uq33367pLNDGvbs2aM333xTo0ePPu+ZcDtv/15KZ89A2r9psJ/hX758ubp06eLyQfpiLF68WM2bN1dqaqo++eQTPf30046hFeVhP6bYh8bYpaeny2azOd5jSY5pNN1N4WkV9iEg9kDt7Zpzc3MlqcxTlFrhGPzll1+qbdu2WrVqld5//31NnjzZ6Yz7b910000KCAhQamqqtm7d6mg/deqUMjMzdfPNNzsN27kU+gQqFoEdl5wffvhB3bt3V15enpYsWeIyJrA8fve732nMmDHKysrSuHHjVFhYqFOnTmnatGkaMGCAxo4d67R+ZGSkCgoKnA685zp48KCOHj160bX5wh//+Ec98sgjevTRR/XYY485vg5H2UycOFFt2rQp14/9JkXn+uyzz/TJJ5/ogw8+kL+/f7nqMsaooKDAMWa/vJ555hlJZ4djjBo1St9//71+//vfl7qNL34v7Z566ilJ0ocffqjjx4/r448/1r333uu1/b/99tsaMmSI+vfvr2nTpl3wg0lZzJgxQ507d9bnn3/uGPf9yy+/aN68eZoyZYo6dOjgWNf+LcR3333ndMLgXD/++GOlBVT7UA77WHd7zRcafvXvf/+7TPu3f/Owdu3aUoey2ANsZR+DP//8c/Xp00eNGzfWe++9p9q1a5e6fuPGjfX2228rICBADz/8sI4cOSJjjCZNmqTGjRvrb3/7m9P6ZXl/i4qK9J///OfiXwwuCfyVhiXZA6S7P04vvvii8vLydPvttys4ONjRfrHDHd5++23179/fETwGDBigwYMHa9myZQoMDHRat2vXrpLOBl93NZ46dUr33nuv44xJaa+nPC5mf4cPH3YMJbDfnMfuUhgyUlFKe48zMjL0888/l+snIyPDZX9ffPGF3n//fSUmJrodl7phw4Yyja/dvHmzcnJyNGzYsHK84v/p0qWL48K8TZs2qV+/fo6L/c7HV7+X0tmLGLt27ar8/Hz99a9/1ZdffunyrdeFnO//s6ioSM8++6wk7/4+1KlTR1988YWaN2+uuXPnqmvXrnr44Yf1/vvv67nnnnNat0WLFoqIiNCJEyfOe23Ezz//rOeff97xOrx9TLmQn3/+WdL/3iP7MfDvf/+724u5pbPDZexjui/kuuuuk3T2d+u1115zu84bb7yhXbt2OT1/WY/B5VHae/z000+ruLhYd911l9O3YaX1mVGjRmnSpEnKzc1V//79dd1116mkpETff/+9y5l5++ubOXOmjhw54nZ/f/jDH3To0CGPXxcuTQR2WJL9q+hjx46puLhY0v8OmqmpqZKkvLw8p23sZxrOvUujfbvSztpkZWXp1ltv1bPPPqvvvvtO27Zt05dffqlx48a5PdtpP+O+YcMGDRkyxGnM8L///W9df/316t+/v2Nogv31HD582KWu8ijt/fntv9295vT0dEf7b9/DoqIix/jK893p0lt+u397/b9lv2Dr3PpL+z/87X7Ovf38b7c79w/q+Z6rtPd4/vz5MmenxfX4Z/78+U7Ps27dOs2ZM0cfffSRS7goLi5WUlKSXn31VdWpU0f5+fl65ZVX9O677+rUqVMur+Opp55Sz549NWbMmPO+T2VlD7GSynRnU1/8Xv7Wk08+KensXV779u17wTOa5zrf72BWVpaysrLc1v7TTz+Vu/Z///vfGj58uNavX6+tW7dq8+bN+vzzz9W/f3+XdW02mx588EFJ0pQpUzR58mTHBabGGC1btky9e/d2+nbG28cUu3N/d6Szr3PevHnq2LGj45uN/v37q2nTpiooKNCNN96oNWvWOH63Tpw4oWeeeUYfffSRRo4c6VKfu/etTZs2jvfmmWee0bRp0xzDZPLy8vSnP/1JW7dudVyU6+kxuLT35nzHu9Le4/L096efflqBgYH6z3/+o+3bt+vrr7/Wq6++6nbc/t13363atWvr6NGjuuGGG/Tdd985lmVkZGjkyJFKS0vTDTfccN7XhSrG5xNHAuVQUFDguGnKlClTzIYNG8wDDzxgioqKzKhRo4wkU7t2bbNgwQKzbds2M3nyZMcNd2rVqmU2btzomIP31VdfNZKMv7+/27vvGWPMU089dd55s0NCQswNN9xgdu7c6bTNo48+6ljHZrOZmJgYx00w7r77bqd5ow8ePGgCAgKMJPPee++Zzz//3GVud2+9P/v373fcDGjSpEku22ZnZzvmOe/Vq5fZtGmTWbdunRkxYoTjBkm33HKL2bBhg/npp58c29nvFOmNedhXrVrleO/+9a9/OS07dOiQ48Y0M2bMcFq2bds2x3br1693Wvbzzz87liUmJjot++STTxzL7HN8G3N2TuMOHToYSWbAgAFON2Up7T32lg0bNpiaNWsaPz8/4+/v7/Jjs9mM9L+bJyUlJTleR5MmTcw///lPU1hYaFJTU81NN91kbr311gvO2+6JuLg407hx4zK9Zl/8Xv5WUVGRow+eO0d8WXz33XeOecaXLl1qFi5c6LgPQbNmzYx09qZh69evN19//bV58MEHHTchu+qqq8w333xjtmzZYoqLix1z97dp08bt3T+NMaZLly7nPaZERESYkSNHmmPHjjnWP3XqlGP+cunsTbCaNWtmQkJCjM1mM//3f//ntP9FixY59rVu3TrzzjvvmLfeesvj98XOft8B6eydY+13DC4sLDQPPvigady4scvNgJKSkpxu3BUWFmZiYmJMQECAadSokdP9AHJyckyDBg3czndv9+uvv5qmTZs69hcYGGgaNGjguNPtuXfY9eQYnJaW5lh3+/btTvuxz3UfGhrq1NdLO2737t3bSDKNGjUyK1asMFu2bDFPPvmk6dWrl5FkGjdubDZt2uQ4Tn322Wfn7Q+BgYGmffv2LsfCTz75xHEslGQiIyNNw4YNjZ+fn7nyyivN0aNHy/JfiyqCwA7LWrx4sWnYsKGpU6eOGTFihOOmIZmZmWbIkCGmdu3apk6dOuamm24yGzZsMCdPnjTdu3c3oaGh5oYbbjBJSUmmTZs2TgfG4OBgc9VVVzn9oTTm7F3rbr75ZtO7d2/Ttm1bExYW5rhRkP2nUaNGjjsQ2s2bN89cddVVpkaNGqZmzZqmW7duZv78+W7vEjl79mwTERFhwsPDzeOPP25OnTrl9ffnsccec6m7devWLgF27dq1pkOHDuayyy4zTZo0MX/4wx9MRkaGWbNmjYmIiDDR0dHmiSeecKrRW4G9S5cuTn+EAgMDTXx8vMnNzTU9evRwfJiw/3Ts2NEcPHjQ3HPPPU7hoGbNmubGG280xpy9kY39ron2EGi/lf1dd93l9Hy1a9c2o0aNMo8//rhp1KiR03M1adLE6a6C5+uD3vDDDz84bqJT2k9oaKij3xUXF5tp06aZtm3bmho1apigoCDTvHlzc9ddd7ncpdEbFixYYKZMmVKmdX3xe3muiRMnmrCwMKc78Xri2WefNXXr1jUNGzY0kydPdoSz7du3m27dupkaNWqYBg0amFGjRpm9e/eaH3/80REC77vvPrN48WJH6LT/1K9f3wwdOtTluXbv3m3atWtn+vbta5o3b27q1KnjuLmV/WfgwIFO25w8edI8//zzpmXLliYwMNDUq1fP3HrrrU53Q7U7c+aMue+++0xISIhp0aKFefPNN8v1ntj99kZhb775punatavp1auXueqqq8xjjz123r7/448/msGDB5v69eubwMBA06xZMzN+/Hin9V955RXH3ZbtP02bNjWvvPKKy/6OHDliHnnkEdOwYUMTGBhoWrRoYSZNmmTy8/PdPn9ZjsGff/656dq1q+O5f3t31r/85S+OkC/J3Hrrrea7775zbHu+43Zqaqq58cYbTa1atUz9+vXNnXfeabZv324OHDhg2rZta+rWrWtuv/12s2/fPmPM2Q+cL774oomLizPx8fEmIiLC8WH9t8et3z63McZ89dVXpn///qZOnTomKCjItGnTxrz88suOD1SoPmzGWGPQ6okTJ7RixQrVq1dPN9988wXXXbhwoSIjI5WTk6PTp09r+PDhTuMmAU/84x//0D/+8Q+Xm7MYY5SXl6ddu3bp/vvv16xZs7wyhdmlqGnTptq3b5++/vprXXvttZVdDqqhsWPHymazac6cOZVdygWNGzdODRs2dLnI2D4M58svv9SYMWN08OBBx9zblenLL79U79691aRJE6WlpVV2OVXOjz/+qBEjRujLL790uTFcQUGB9u3bp+eff16xsbHlvvEZqjZLjGH/4YcflJiYqGXLlrmMBztXfn6+pkyZokaNGmnQoEEaMWKE/P39NXPmzAqqFlXNxo0bNXLkSP3xj390WWaz2RQSEqKuXbtq7NixPr1xidXZP9uf7y6kgC8VFRVp6dKluu+++yq7lAuaOnWqPvjgA40fP95lmZ+fn+rXr6/BgwcrISHB6e6WqJqOHj2q/v37a+jQoW6Pn8HBwWrdurVefPHFav03BqWzxI2T4uLi1KBBA8cd8UqzcuVKZWRkKCEhwdHWr18/jR8/Xt999526dOniy1JRBU2ePFlFRUXq1KlTqesdOXLkomffONe5dzUsi8q6WVNhYaECAwPVsmVLSWcvvDz3AsoLue+++y6JwAXree+99xQdHe10EyIrKiws1NSpU3XllVde8Fvfyy+//KLmej/Xjh079Pjjj3u0TadOnc47Kwu846233lJGRsYF/8akpaXppptuqpiicMmxRGCXVOZ5oL/55hs1btzY6UDYsGFD1apVS0lJSQR2eMw+v/CyZctcpnWzS0pKUuvWrZ3uROcNVr1Tal5enj744AMNGjRIDRo0kDFGWVlZGjBggGOOasI3fGnBggVavHixbrjhBkVFRenJJ5/UBx98UNllXVBeXp5Onz6tXbt2KTU19bzTYb711lt64IEHvPrcnTp1KvcxxT4Tkq9niKqOfvs3ZsCAAW7X2b9/v3744Qe9+OKLFVkaLiGWCexlcebMGR04cEDx8fEuy8LDw5WSklIJVeFS98ILL+iuu+7SiBEjtHbtWt1+++1q2LChcnNzlZaWps8//1wDBw706o1arG7RokV6+OGH9de//lUbNmxQenq6AgMDNXXq1MouDdXE1KlT9Z///Ef//Oc/JUmDBg1yujuoVdWrV0+PP/64Zs6cqauvvloPP/ywrr/+eoWHh+vIkSPavXu3vvrqKz377LOOmxBZgf0GR0eOHFF6erpiYmIquaKqY9y4cfroo480d+5cpaamavTo0WrZsqVKSkq0f/9+rVmzRtHR0W6HZQJ2l1RgP3nypIwxbi/QCQ4O1sGDByuhKlzq7rjjDm3btk2zZs3S+vXr9eGHH6pmzZpq06aNbr75Zr3++uteP7Nudbfddptuu+02rVu3TnFxcerevbuSkpLUrl27yi4N1cT48eMddzi95557HDf7uhT89a9/Ve/evfXmm2/qvffe0/Tp0xUWFqbOnTtryJAh+vDDD11uxlZZ8vLy1LNnT/3www+Szp5pv/LKK9W2bVstWLBAzZo1q+QKL30tWrTQjz/+qNdff11Lly7VmDFjZLPZ1KRJEyUkJOixxx5TmzZtKrtMWJxlZok5cuSIxo0bpzvvvFNDhw51u87Jkyc1evRo9ezZU+PGjXNa9uKLL2rfvn36+9//7rLd2rVrtXbtWklnb7oBAAAAXCouqTPsISEhCggIUEFBgcuygoKC816806dPH/Xp08fxmDPxOFd4eLgyMzMruwxYDP0C7tAv4A79Au5ER0d7ZT+WmNbRE82aNdOxY8dc2o8dO6YmTZpUQkUAAACA71xygb1bt25KT0/X6dOnHW0ZGRnKzc1Vz549K7EyAAAAwPssE9iLiook/e/mLHZLly7VhAkTlJOTI0lKSEhQ3bp1tXHjRsc6q1evVmxs7AXnOAUAAAAuNZYYw75z50598cUXkqTNmzerYcOG6ty5s2rWrKnc3FxlZ2c75oatWbOmJk2apA8//NDRfurUKf3xj38s81zuAAAAwKXCMrPEVCQuOsW5uFgI7tAv4A79Au7QL+BOtb3oFAAAAKhOCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEBlV2AJG3atEk7d+5UVFSUUlJSlJCQoE6dOp13/fT0dK1cuVJRUVHKy8vT0aNHNWzYMEVGRlZc0QAAAEAFqPQz7OvXr1diYqJGjhypgQMHauTIkZo1a5Z2797tdv2cnBxNmjRJ/fr106BBg3TPPfeoY8eOmjFjRgVXDgAAAPhepQb2/Px8JSYm6rrrrlNwcLAkqX79+oqLi9O8efPcbrN7927l5ubq8ssvd7TFxsbq119/VU5OToXUDQAAAFSUSg3sO3bsUF5enlq1auXUHhsbq7S0NKWnp7tsU7t2bUnS2rVrHW1paWmKiIhQaGiobwsGAAAAKliljmFPS0uTJIWHhzu1R0RESJJSUlIUExPjtKxNmzbq0qWLPvroIxUWFqpt27Zav369Jk6cKJvNViF1AwAAABWlUgN7bm6uJDmGw9jZH2dnZ7vdbvz48ZozZ44WLlyo4OBgvfzyy2rUqJFviwUAAAAqQaUG9oCAs09/7plx+2P78nOdPHlSRUVFGjRokD7//HO98MIL+sMf/qBrrrnG7fpr1651DKGZPn26yxl9ICAggH4BF/QLuEO/gDv0C/hSpQb2unXrSpIKCgqc2u2Pw8LCXLY5deqUXnrpJY0aNUqdOnXS9ddfrxkzZmj27NmaPXu26tev77JNnz591KdPH8fjzMxML74KVAXh4eH0C7igX8Ad+gXcoV/AnejoaK/sp1IvOm3evLkk6dixY07t9g7ftGlTl202bdqknJwcxzzt0dHReuqpp1RUVKRt27b5tF4AAACgolVqYG/fvr1CQ0OVnJzs1J6cnKwWLVq4/VRSVFSkkpISp7ZGjRopNDSUi04BAABQ5VRqYPf399fgwYOVlJSkwsJCSVJWVpa2bdumO++8U5K0dOlSTZgwwTHHenx8vGw2m7Zv3+7Yz6FDh1RSUqLOnTtX/IsAAAAAfKhSx7BL0oABAxQQEKC5c+cqJiZGKSkpGjdunOLj4yWdnUkmOzvbEegjIiL04osvatGiRfrxxx8VGhqqQ4cO6fnnn+diDwAAAFQ5NmOMqewiKtrBgwcruwRYDBcLwR36BdyhX8Ad+gXcqRIXnQIAAAAoHYEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUFVHYBAAAAQGUqLi7W6dOnZYyRzWZzu44xRpLk7++vyy677Lzr+QKBHQAAANWWMUb5+fmqVavWBUO4MUbFxcXKy8sr0/rewpAYAAAAVFsFBQWqUaNGmcK3zWZTQECAgoODVVhYWAHVnUVgBwAAQLVVUlIif39/j7bx9/dXUVGRjypyRWAHAAAAPFCR49clAjsAAACqsfKG74oM7QR2AAAAwMII7AAAAICFEdgBAAAACyOwAwAAABZGYAcAAAAsjMAOAACAassYU6HblQeBHQAAANWap+HbGMO0jgAAAEBFCA4OVl5eXplDe1FRkfLy8nTZZZf5uLL/CaiwZwIAAAAsxt/fXzVq1NCpU6cknf+GSPZA7+fnp1q1alXoGXYCOwAAAKo1f39/1apVq7LLOC+GxAAAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhXklsB86dMgbuwEAAABwDo8D++7du/XXv/5Vr776qqPt5MmTeuWVV7R//36vFgcAAABUdx4F9h9//FGTJ0/W1q1bdfDgQUd7y5YtNXz4cE2dOpWz7QAAAIAXeRTYP/nkE8XExOiBBx5QeHi407IGDRroyiuv1Mcff+zVAgEAAIDqLMCTlY8dO6bZs2crKChIO3bscFler149bdy40Vu1AQAAANWeR2fYGzRooKCgoPMu37Nnj/Ly8i66KAAAAABneRTYIyMjlZ6e7nbZv/71L/33v/9V06ZNvVEXAAAAAHk4JGbo0KGaMmWKOnfurMzMTK1bt05ZWVn67rvvlJaWJpvNpqFDh/qqVgAAAKDa8Siw169fX88//7w++OAD7du3T2+//bZjWaNGjTR8+HB16NDB60UCAAAA1ZVHgV2SwsPD9cQTT6igoEAHDx5UUVGRwsLCFB4eruPHj/uiRgAAAKDa8mgM+/z58x3/Dg4OVvPmzdWqVSvHFI9bt27V9u3bvVogAAAAUJ15FNgPHz5c6vKWLVvqww8/vKiCyiMzM1Pff/+9fv311wp/bgAAAMCXLjgkZvPmzY6z5vv27dObb77pdr3Tp0/rv//9rwoLCz0uYtOmTdq5c6eioqKUkpKihIQEderU6YLbffvtt1q+fLk6d+6s6667TpdffrnHzw0AAABY2QUD+zXXXKMDBw5o4cKFklTqjZFsNpsGDx7sUQHr16/XokWLNGvWLAUHB+vYsWN64oknNHHiRLVp08btNiUlJXr33Xf1448/6tlnn1WjRo08ek4AAADgUnHBwG4P4REREVqzZo3uvvtu9zsKCNDll1+uOnXqlPnJ8/PzlZiYqL59+yo4OFjS2Zlo4uLiNG/ePL3yyitut1uwYIE2btyo6dOnE9YBAABQpZV5lpiePXuqYcOGatGixXnXyczMVElJifz8yjY0fseOHcrLy1OrVq2c2mNjY7Vp0yalp6crJibGadmBAwe0fPlyJSQkqHHjxmUtHwAAALgkeXTRaWlhXZJSU1M1b968Mu8vLS1NkhyzzNhFRERIklJSUly2Wb9+vUpKSlRUVKSZM2fqoYce0rhx47Rq1aoyPy8AAABwqfB4HvZNmzY5Li41xjjaS0pKlJycrKysLI0ZM6ZM+8rNzZUkx3AYO/vj7Oxsl2327NkjPz8/9ejRw3GTpkWLFmnevHkKCQlRjx49PH1JAAAAgGV5FNjXrl2rd955p9R1unbtWvYnDzj79Dabzand/ti+/LdycnLUuHFjpzuq3nHHHVq7dq1WrFjhNrCvXbtWa9eulSRNnz7d5Yw+EBAQQL+AC/oF3KFfwB36BXzJo8C+YcMGjR8/Xs2aNVNycrL8/PwUGxsrSTpx4oTWrVtX5rPrklS3bl1JUkFBgVO7/XFYWJjLNiEhISoqKnJq8/f3V9OmTfXf//7X7fP06dNHffr0cTzOzMwsc42oHsLDw+kXcEG/gDv0C7hDv4A70dHRXtmPR2PYW7dura5du+ryyy9X9+7dlZaWpoiICEVERCg2NlYdOnTQ4sWLy7y/5s2bS5KOHTvm1G7v8E2bNnXZJjo62u1QmRo1aqhmzZoevBoAAADA+jwK7CUlJf/b0M9PNWvW1E8//eRo8/f3L3We9nO1b99eoaGhSk5OdmpPTk5WixYt3H4q6dGjh44fP66DBw86tWdlZally5Zlfm4AAADgUuBxYJ80aZKmTJmiEydO6MYbb9Trr7+u+fPna/HixZo/f75OnTpV5v35+/tr8ODBSkpKctwhNSsrS9u2bdOdd94pSVq6dKkmTJignJwcSVKHDh3Upk0brVixwrGfQ4cOKTU1VUOHDvXk5QAAAACW59EY9sGDB+vll19WRkaGsrKy1KxZM40ZM0YzZ850jCvv1auXRwUMGDBAAQEBmjt3rmJiYpSSkqJx48YpPj5e0tmZZLKzsx2B3maz6ZlnnlFiYqLeeOMNhYWF6ciRI3ruuedc5mwHAAAALnU289u5GcugpKREp06dUkhIiKPt4MGD+v7771WvXj117969zDdOqiznDqcBuFgI7tAv4A79Au7QL+COty469Xgedj8/P6ewbi/GXtBPP/2ktm3beqU4AAAAoLrz+qnwzz//3Nu7BAAAAKqtMgX24uJix11Jz6ekpESJiYnaunWrVwoDAAAAUIYhMWvXrlViYqIKCgp0+eWX6/HHH3fMn26XmZmpv/3tb9qzZ4/PCgUAAACqo1LPsO/bt0/vvvuu486jhw8fdpoRRpK2bNmip59+Wnv27FFoaKieeeYZ31YMAAAAVCOlnmFfvXq1goKCNGTIEDVu3Fg//fSTli9frh9++EFxcXGaP3++1qxZI+ns/OiPPPKI6tatWxF1AwAAANVCqYF99+7devDBB9WjRw9JUqdOnVRSUqKNGzdq4cKFSk9PV0BAgH73u9/p1ltvrZCCAQAAgOqk1MCek5Ojrl27OrVdf/31mjBhgqSz0zn+4Q9/ULNmzXxXIQAAAFCNlRrYg4ODFRDgvEqjRo0UFBSka6+9VqNGjdJll13mtPy7775Tly5dvF8pAAAAUA2VetHp+e5Y2qhRI40dO9YlrEvSt99+653KAAAAAJR+hv3QoUN67rnnFBQU5NSekZGhSZMmObUZY5SVlaVDhw7pD3/4g/crBQAAAKqhC87DvnfvXrftP/30k9eLAQAAAODsgmPYr7vuOtWuXVs2m63UHZWUlOjYsWMMiQEAAAC8qNTA3rt3b913330e7bBGjRoXUw8AAACA3yj1otMbb7zR4x3edNNN5S4GAAAAgLNSA3t0dLTHO4yKiip3MQAAAACclRrYAQAAAFQuAjsAAABgYQR2AAAAwMII7AAAAICFEdgBAAAAC7vgnU5/y353Uz8/P7Vp00aStGfPHr311lvKysrSNddco9GjRysoKMj7lQIAAADVkEdn2CdNmqSkpCSFhoZKkk6cOKEZM2YoIyNDXbt2VUFBgf7xj3/4pFAAAACgOvLoDHt8fLzGjh3rePz+++/r5MmTGjFihG6++WZJ0nvvvefdCgEAAIBqzKMz7LGxsY5/79ixQ5s3b1Z0dLTT3U1r1KjhveoAAACAas6jwH7gwAFlZ2crNTVVc+bMkc1m05gxY+Tnd3Y3xcXF+uGHH3xSKAAAAFAdeTQkpmvXrnr44YdVVFQkPz8/jRw5Uu3atVNRUZF27typJUuWKD093Ve1AgAAANWOR4H9qquu0muvvabU1FTFxMSoQYMGkqSjR4/q5MmT6tevn/r16+eTQgEAAIDqyKPALkkRERGKiIhwamvQoIEjvAMAAADwHo8D+7kKCwu1atUqHT9+XNdcc42uuOIKb9QFAAAAQB4G9nHjxqlOnTpKSEjQDTfcIGOMZsyYoV27dik4OFjr1q3To48+qquvvtpX9QIAAADVikeB3d/fXxMnTlRISIgkadWqVdq1a5c6deqkJ598UqdPn9Y777xDYAcAAAC8xKPA3q1bN0dYz8rK0scff6ygoCD9/ve/V2BgoAIDAxUdHe2TQgEAAIDqyKN52IuLiyVJxhjNnTtXBQUFGjRokMLCwhzrHDx40LsVAgAAANWYR2fYi4uLNW3aNGVnZystLU1t27bVoEGDHMtXrVqlLVu2eLtGAAAAoNryKLDfc889+vTTT5WcnKzOnTtr0KBB8vf3V3p6uj799FOdOHFC7dq181WtAAAAQLVjM8aYyi6iojFsB+cKDw9XZmZmZZcBi6FfwB36BdyhX8Adb13b6dEYdruTJ09q//79jsebN29WWlqaVwoCAAAA8D8eX3T67rvv6sEHH9TMmTMd7VdddZVWrFihf/7zn14vEAAAAKjOPArsS5Ys0Zo1a2SMkb+/v6M9ICBADz30kJKSkrRp0yavFwkAAABUVx4F9o0bN2rYsGGaP3++IiMjnZb5+/srLi5OK1as8GqBAAAAQHXm0SwxwcHBGjhwoCTJZrO5LC8pKdGBAwe8UxkAAAAAz86w//YGSedOLpOfn6+tW7cqIMCjzwAAAAAASuFRYG/fvr0WLVokyfkMe1pamiZPnqzjx4+rc+fO3q0QAAAAqMY8Oh1+yy236M0339QDDzwgY4xeeOEFZWVl6ejRo5KkqKgo3XPPPT4pFAAAAKiOPArsfn5+GjdunL7//nt99dVX+vXXX+Xv76927dqpU6dOuvHGGxUcHOyrWgEAAIBqp1wDzuPj4xUfH+/tWgAAAACcw+M7na5atUoLFixwatuzZ49WrFihkpISrxUGAAAAwMPAvnr1ar3//vtauXKlioqKHO2tWrVSs2bN9Kc//UmFhYVeLxIAAACorjwK7OvWrVP//v01depUl+kb27Vrp8DAQC1dutSb9QEAAADVmkeBPTo6WqNGjVJMTIzb5REREfrqq6+8UhgAAAAADwO7v79/qct/+eUXZWVlXVRBAAAAAP7Ho8Beu3Zt7dq1y+2ylStXau/evec9+w4AAADAcx5N6zh48GA999xzatWqlTp06KCQkBAdOXJE33zzjXbv3i2bzaYhQ4b4qlYAAACg2vEosNeqVUsvvvii3n77bb3++utOy+rUqaPRo0crLi7OqwUCAAAA1ZnHN04KCwvTs88+q+PHjys1NVUFBQWqX7++YmNjXWaOAQAAAHBxPE7YxcXFysvLU1hYmMLCwiRJ6enpOn36NIEdAAAA8DKPLjo9fPiwHn74YT322GNON06KiorShx9+qB9++MHrBQIAAADVmUeBfcGCBcrJyVHnzp2dzqYHBQVp9OjRev/997V3716vFwkAAABUVx4F9qysLL311lt69NFHXZYFBgaqbdu2WrBggdeKAwAAAKo7jwJ7RESE6tSpc97lZ86cUUpKykUXBQAAAOAsjwJ7UVGRzpw543bZiRMntH37dgUGBnqlMAAAAAAeBvZevXrpL3/5i44cOeLUvnPnTk2ePFmnTp1S165dvVogAAAAUJ15NA9jXFyc0tPT9fjjjysiIsJxp9OcnBxJUvPmzXX33Xd7XMSmTZu0c+dORUVFKSUlRQkJCerUqVOZts3OztaECRM0bdo0RUZGevzcAAAAgJV5PHH6wIEDdeWVV2rNmjX65ZdfVLNmTTVu3FhdunRR3759PZ6Lff369Vq0aJFmzZql4OBgHTt2TE888YQmTpyoNm3aXHD7uXPnOj4wAAAAAFVNue501KJFC7Vo0cKl/dSpUx4F9vz8fCUmJqpv374KDg6WJNWvX19xcXGaN2+eXnnllVK3X7dunaKiojwrHgAAALiEeDSG/UK2bt3q0SwxO3bsUF5enlq1auXUHhsbq7S0NKWnp59320OHDmn//v2Kj48vd70AAACA1Xl0hn3cuHHnXVZSUqKsrCzdfvvtbs++u5OWliZJCg8Pd2qPiIiQJKWkpCgmJsbtcy1atEgPPPAA00gCAACgSvMosB89erTU5ZGRkfrll1/KvL/c3FxJcgyHsbM/zs7OdrvdsmXLnIbRAAAAAFWVR4H9pptu0r333ut2nPrBgwe1ePFijR07tuxP/v/3Y7PZnNrtj909T2pqqgoKCsp0Qard2rVrtXbtWknS9OnTXc7oAwEBAfQLuKBfwB36BdyhX8CXPArsvXr1Ou9FpdHR0WrdurU++ugjjRo1qkz7q1u3riSpoKDAqd3+OCwszKm9sLBQy5YtK3Vojjt9+vRRnz59HI8zMzM92h5VX3h4OP0CLugXcId+AXfoF3AnOjraK/vxKLA3a9as1OV16tTRwoULyxzYmzdvLkk6duyYmjRp4mi3d/imTZs6rb93715t3brVaf8lJSWSpAkTJkiSEhMTy/TcAAAAwKXAo8D+008/nXdZdna2Pv74Y/n5lX3imfbt2ys0NFTJycnq3Lmzoz05OVktWrRw+VTSsmVLzZw506ktOTlZr7/+uiZOnOhyRh4AAAC41HkU2CdNmnTBdQYNGlTm/fn7+2vw4MH67LPPdPvttysoKEhZWVnatm2bHnvsMUnS0qVL9dVXX+mll15S7dq1XeZdP3bsmKSzX0Vxp1MAAABUNR4F9lq1aqljx44KDAx0WRYcHKwrrrhC3bp186iAAQMGKCAgQHPnzlVMTIxSUlI0btw4x/zqubm5ys7OVmFhoUf7BQAAAKoCmzHGlHXldevW6YYbbvBlPRXi4MGDlV0CLIaLheAO/QLu0C/gDv0C7njrolOP7nRaFcI6AAAAcCnxaEjMuc6cOaMtW7bo+PHjatGihdq1a+etugAAAADoAoH9zTff1IkTJ5SVlaWgoCD1799f1113naSzUy9OmTJFhw4dcqzfvXt3x8WiAAAAAC5eqYF948aNstlsuvvuu3Xrrbc6pmwsLCzU1KlTdejQIfn7+6tDhw46c+aMNm3apNatW6t///4VUjwAAABQ1V1wSMygQYM0cOBAp7bFixfr4MGDCg4O1gsvvKCWLVtKkpKSkrR8+XICOwAAAOAlpV50arPZdNtttzm1HT58WJ999pkk6f7773eEdUnq2bOnCgoKfFAmAAAAUD2VGthDQkJUs2ZNp7YPPvhARUVFatu2rXr27OmyTVBQkHcrBAAAAKqxUgN7cHCwjhw54nj81Vdfadu2bZKke+65x2X906dP6/Dhw14uEQAAAKi+Sh3D3rFjR02dOlX9+vXToUOHtGbNGklnh778diiM3fLly3XmzBnfVAoAAABUQ6WeYb/77rtls9n097//XV988YVKSkrUunVr3X///S7rrl69WosXL/ZZoQAAAEB1VOoZ9pCQEL366qvasmWLMjMz1ahRI8XHx8tmsznWycrK0uzZs3X8+HF16tRJDRo08HnRAAAAQHVxwWkdAwMD1aNHj/Mur127tp5//nn5+/t7tTAAAAAAZQjsF0JQBwAAAHyn1DHsAAAAACoXgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEBlV2AJG3atEk7d+5UVFSUUlJSlJCQoE6dOp13/bS0NCUmJio1NVVBQUGKj4/XsGHDFBISUnFFAwAAABWg0s+wr1+/XomJiRo5cqQGDhyokSNHatasWdq9e7fb9Y8ePap3331XPXr00JgxY9SmTRutXbtWs2bNquDKAQAAAN+r1DPs+fn5SkxMVN++fRUcHCxJql+/vuLi4jRv3jy98sorLtusXr1aTz75pOrWrStJuvbaa1VQUKAffvhBR44cUWRkZEW+BAAAAMCnKvUM+44dO5SXl6dWrVo5tcfGxiotLU3p6eku23Ts2NER1u3sw2fy8vJ8VSoAAABQKSo1sKelpUmSwsPDndojIiIkSSkpKS7bXHnllS5thYWFqlWrlho2bOj9IgEAAIBKVKmBPTc3V5Icw2Hs7I+zs7PLtJ9du3bplltuUVBQkHcLBAAAACpZpY5hDwg4+/Q2m82p3f7Yvrw0ycnJKigo0MCBA8+7ztq1a7V27VpJ0vTp013O6AMBAQH0C7igX8Ad+gXcoV/Alyo1sNvHohcUFDi12x+HhYWVuv3Jkye1ZMkSPfXUU6WG+z59+qhPnz6Ox5mZmeWsGFVVeHg4/QIu6Bdwh34Bd+gXcCc6Otor+6nUITHNmzeXJB07dsyp3d7hmzZtet5tCwsLNX/+fI0ZM0a1a9f2WY0AAABAZarUwN6+fXuFhoYqOTnZqT05OVktWrQ476eSoqIizZs3T0OHDnX6+ikjI0OFhYU+rRkAAACoSJUa2P39/TV48GAlJSU5gnZWVpa2bdumO++8U5K0dOlSTZgwQTk5OZKk4uJivfbaa4qMjFRqaqo2b96szZs3a8OGDVqyZAkXngIAAKBKqdQx7JI0YMAABQQEaO7cuYqJiVFKSorGjRun+Ph4SWdnksnOznYE+jlz5mjr1q3aunWry77Gjh1bobUDAAAAvmYzxpjKLqKiHTx4sLJLgMVwsRDcoV/AHfoF3KFfwJ0qcdEpAAAAgNIR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgjsAAAAgIUR2AEAAAALI7ADAAAAFkZgBwAAACyMwA4AAABYGIEdAAAAsDACOwAAAGBhBHYAAADAwgIquwBJ2rRpk3bu3KmoqCilpKQoISFBnTp1Ou/6J06c0MKFCxUZGamcnBydPn1aw4cPV3BwcMUVDQAAAFSASj/Dvn79eiUmJmrkyJEaOHCgRo4cqVmzZmn37t1u18/Pz9eUKVPUqFEjDRo0SCNGjJC/v79mzpxZwZUDAAAAvlepgT0/P1+JiYm67rrrHGfH69evr7i4OM2bN8/tNitXrlRGRoYSEhIcbf369dOOHTv03XffVUjdAAAAQEWp1MC+Y8cO5eXlqVWrVk7tsbGxSktLU3p6uss233zzjRo3buw0/KVhw4aqVauWkpKSfF4zAAAAUJEqNbCnpaVJksLDw53aIyIiJEkpKSlO7WfOnNGBAwdUv359l32Fh4e7rA8AAABc6io1sOfm5kqSy8Wi9sfZ2dlO7SdPnpQxRjVq1HDZV3BwsMv6AAAAwKWuUmeJCQg4+/Q2m82p3f7YvtwuMDDQ7fr2tnPXt1u7dq3Wrl0rSZo+fbqio6MvrnBUSfQLuEO/gDv0C7hDv4CvVOoZ9rp160qSCgoKnNrtj8PCwpzaQ0JCFBAQ4LK+fZtz17fr06ePpk+frunTp+vZZ5/1QuWoaugXcId+AXfoF3CHfgF3vNUvKjWwN2/eXJJ07Ngxp/bMzExJUtOmTV22adasmcv69n00adLE+0UCAAAAlahSA3v79u0VGhqq5ORkp/bk5GS1aNHC7VdL3bp1U3p6uk6fPu1oy8jIUG5urnr27OnzmgEAAICKVKmB3d/fX4MHD1ZSUpIKCwslSVlZWdq2bZvuvPNOSdLSpUs1YcIE5eTkSJISEhJUt25dbdy40bGf1atXKzY2ttS7o9r16dPH+y8Elzz6BdyhX8Ad+gXcoV/AHW/1C5sxxnhlTxdh9erV+vnnnxUTE6OUlBT16NFDV199tSQpMTFRGzdu1PTp0x3TP2ZmZurDDz9Uw4YNVVhYqJycHI0YMUK1atWqzJcBAAAAeJ0lAjsAAFVBZmam9u3bp8jISDVu3LiyywFQRVTqtI6+sGnTJu3cuVNRUVFKSUlRQkJCqUNlTpw4oYULFyoyMlI5OTk6ffq0hg8f7jI3PC5tnvaLtLQ0JSYmKjU1VUFBQYqPj9ewYcMUEhJScUXDpzztE7+VnZ2tCRMmaNq0aYqMjPRtoahQ5e0X3377rZYvX67OnTvruuuu0+WXX+77YlFhPO0X6enpWrlypaKiopSXl6ejR49q2LBhHC+qoBMnTmjFihWqV6+ebr755guuW+7MaaqQdevWmbFjx5r8/HxjjDGZmZlmxIgR5r///a/b9U+dOmWeeOIJ89lnnzna3nvvPTN16tQKqRcVw9N+ceTIEfPcc8+Z9evXm6+//trMnDnTDBkyxEyePLkiy4YPedonzjVjxgwzZMgQc/jwYV+WiQpWnn5RXFxs5s6dax555BHz66+/VlSpqECe9ovs7GwzevRok5qa6mhbv369eeKJJyqkXlSc7du3m9mzZ5shQ4aYTz75pNR1LzZzVupFp96Un5+vxMREXXfddY5PKvXr11dcXJzmzZvndpuVK1cqIyNDCQkJjrZ+/fppx44d+u677yqkbvhWefrF6tWr9eSTT6p379669tprNX78eMXFxWnnzp06cuRIRZYPHyhPn/itdevWKSoqytdlooKVt18sWLBAGzdu1DPPPKNGjRpVVLmoIOXpF7t371Zubq7TtyyxsbH69ddfHRNooGqIi4vTkCFDyrTuxWbOKhPYd+zYoby8PLVq1cqpPTY2VmlpaUpPT3fZ5ptvvlHjxo2dvopo2LChatWqpaSkJJ/XDN8rT7/o2LGj46ZedvavPvPy8nxVKipIefqE3aFDh7R//37Fx8f7ukxUsPL0iwMHDmj58uXq1asX49WrqPL0i9q1a0uS4w7r0tlhlhEREQoNDfVtwahwfn5li9IXmzmrTGBPS0uTJMdMMnYRERGSpJSUFKf2M2fO6MCBA6pfv77LvsLDw13Wx6XJ034hSVdeeaVLW2FhoWrVqqWGDRt6v0hUqPL0CUkqKSnRokWLdNddd/m0PlSO8vSL9evXq6SkREVFRZo5c6YeeughjRs3TqtWrfJ5vagY5ekXbdq0UZcuXfTRRx9p8eLF+umnn7R+/XpNnDhRNpvN5zXDeryROavMRae5ubmS5DJw3/44Ozvbqf3kyZMyxqhGjRou+woODtbBgwd9VCkqkqf94nx27dqlW265RUFBQd4tEBWuvH1i2bJl6tu3LxekV1Hl6Rd79uyRn5+fevTooQ4dOkiSFi1apHnz5ikkJEQ9evTwcdXwtfIeL8aPH685c+Zo4cKFCg4O1ssvv8yQqWrMG5mzypxhDwg4+9nj3E+v9sf25XaBgYFu17e3nbs+Lk2e9gt3kpOTVVBQoIEDB3q/QFS48vSJ1NRUFRQUqE2bNr4vEJWiPP0iJydHjRs3doR1SbrjjjtUr149rVixwofVoqKU92/IyZMnVVRUpEGDBskYoxdeeEFbtmzxbbGwLG9kzioT2O1jjgsKCpza7Y/DwsKc2kNCQhQQEOCyvn2bc9fHpcnTfnGukydPasmSJXrqqaf4EFdFeNonCgsLtWzZMsfdl1E1ledYERIS4jJ+1d/fX02bNuVb2iqiPP3i1KlTeumll9S7d28NGzZMM2bMUHh4uGbPnq1jx475vGZYjzcyZ5UJ7M2bN5ckl1+GzMxMSVLTpk1dtmnWrJnbX55jx46pSZMm3i8SFa48/cKusLBQ8+fP15gxYxwXEeHS52mf2Lt3r7Zu3apRo0Zp+PDhGj58uKZNmyZJmjBhgoYPH+77ouFz5TlWREdHux0SUaNGDdWsWdP7RaLCladfbNq0STk5OY7JCqKjo/XUU0+pqKhI27Zt82m9sK6LzZxVJrC3b99eoaGhSk5OdmpPTk5WixYtFB0d7bJNt27dlJ6ertOnTzvaMjIylJubq549e/q8ZvheefqFJBUVFWnevHkaOnSo08VGGRkZKiws9GnN8C1P+0TLli01c+ZMvfrqq46fsWPHSpImTpyoV199tcJqh++U51jRo0cPHT9+3OVselZWllq2bOnTelExytMvioqKVFJS4tTWqFEjhYaGctFpNXaxmbPKBHZ/f38NHjxYSUlJjkCVlZWlbdu2Ob7KXrp0qSZMmOCYBzUhIUF169bVxo0bHftZvXq1YmNjy3zHQ1hbefpFcXGxXnvtNUVGRio1NVWbN2/W5s2btWHDBi1ZsoQLTy9xnvaJoKAgRUVFOf3Yv74MDw9nTvYqojzHig4dOqhNmzZO49UPHTqk1NRUDR06tOJfBLyuPP0iPj5eNptN27dvd+zn0KFDKikpUefOnSv+RcCnioqKJEnGGKd2b2fOKjUod8CAAQoICNDcuXMVExOjlJQUjRs3zjFncm5urrKzsx2/dDVr1tSkSZP04YcfOtpPnTqlP/7xj2WeVxPW52m/mDNnjrZu3aqtW7e67Mt+ZhWXNk/7BKoHT/uFzWbTM888o8TERL3xxhsKCwvTkSNH9NxzzykmJqYyXwq8yNN+ERERoRdffFGLFi3Sjz/+qNDQUB06dEjPP/+8y/SQuLTt3LlTX3zxhSRp8+bNatiwoTp37qyaNWt6PXPazLkfCQAAAABYBqeRAQAAAAsjsAMAAAAWRmAHAAAALIzADgAAAFgYgR0AAACwMAI7AAAAYGEEdgAAAMDCCOwAAACAhRHYAQAAAAsjsAMAAAAW9v8AD88sar7Z5UUAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Recon Experiment: Non-Detached Gradient\n", + "# Note: Horizon=70\n", + "\n", + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/recon/run11\",\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/recon/run12\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + " split_order={\"target_traj_limit\": [\"5\", \"10\", \"25\"]},\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': {'5', '10'}}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Recon Experiment: Detached Gradient\n", + "# Note: Horizon=75\n", + "\n", + "dirs = [\"/Users/sasha/Desktop/rotation_project/data/val_demos/recon/run14\"]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "split = [\n", + " \"target_traj_limit\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"test-Recon Loss\"],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(10),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " # ylim=(0, .01),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 272, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'target_traj_limit': ['5']}\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# RUN 1: Real bridge data, sim data of different objects\n", + "# RUN 2: Sim bridge data, sim data of target object\n", + "# RUN 4: Above, but inlcuding zero shot (so merge with above result)\n", + "# RUN 5: RUN 2, in case it goes too slow\n", + "# RUN 6: Run 1, but only 3 objects\n", + "\n", + "# Note: Horizon=75\n", + "\n", + "\n", + "dirs = [\n", + " \"/Users/sasha/Desktop/rotation_project/data/val_demos/multiobj/run1\"\n", + " #'/Users/sasha/Desktop/rotation_project/data/val_demos/multiobj/run6'\n", + " # '/Users/sasha/Desktop/rotation_project/data/val_demos/multiobj/run4',\n", + " # '/Users/sasha/Desktop/rotation_project/data/val_demos/multiobj/run5',\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"target_percentage\",\n", + "]\n", + "default_vary = {}\n", + "\n", + "plot.split(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " vary,\n", + " split,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(50),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " # xlim=(0, 1000),\n", + " # method_order=(0, 2, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + " split_order={\"target_traj_limit\": [\"5\"]},\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ,\n", + " ,\n", + " ]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/data/minimal_randomization/run1\",\n", + " \"/Users/sasha/Desktop/data/minimal_randomization/run2\",\n", + " \"/Users/sasha/Desktop/data/minimal_randomization/run3\",\n", + " \"/Users/sasha/Desktop/data/minimal_randomization/run4\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\n", + " \"seed\",\n", + "]\n", + "\n", + "default_vary = {}\n", + "\n", + "plot.comparison(\n", + " exps,\n", + " [\"Success Rate\"],\n", + " vary,\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(50),\n", + " figsize=(12, 8),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ,\n", + " ,\n", + " ]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/data/multi_object/run1\",\n", + " \"/Users/sasha/Desktop/data/multi_object/run2\",\n", + " \"/Users/sasha/Desktop/data/multi_object/run3\",\n", + " \"/Users/sasha/Desktop/data/multi_object/run4\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\"env_kwargs.num_scenes\", \"env_kwargs.num_objs\"]\n", + "\n", + "default_vary = {}\n", + "\n", + "plot.comparison(\n", + " exps,\n", + " \"Success Rate\",\n", + " vary,\n", + " title=\"Eval Env == Train Env\",\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(50),\n", + " figsize=(50, 100),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ,\n", + " ,\n", + " ]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dirs = [\n", + " \"/Users/sasha/Desktop/data/multi_object_test/run1\",\n", + " \"/Users/sasha/Desktop/data/multi_object_test/run2\",\n", + " \"/Users/sasha/Desktop/data/multi_object_test/run3\",\n", + " \"/Users/sasha/Desktop/data/multi_object_test/run4\",\n", + "]\n", + "\n", + "exps = plot.load_exps(dirs, suppress_output=True)\n", + "\n", + "\n", + "vary = [\"env_kwargs.num_scenes\", \"env_kwargs.num_objs\"]\n", + "\n", + "default_vary = {}\n", + "\n", + "plot.comparison(\n", + " exps,\n", + " \"Success Rate\",\n", + " vary,\n", + " title=\"Eval Env != Train Env\",\n", + " default_vary=default_vary,\n", + " smooth=plot.padded_ma_filter(50),\n", + " figsize=(50, 100),\n", + " print_max=False,\n", + " ylim=(0, 1),\n", + " plot_seeds=False,\n", + " plot_error_bars=True,\n", + " print_final=False,\n", + " print_min=False,\n", + " print_plot=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + }, + "toc": { + "nav_menu": { + "height": "206px", + "width": "262px" + }, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts/labeling/label_data.py b/scripts/labeling/label_data.py new file mode 100755 index 0000000..aec1b1f --- /dev/null +++ b/scripts/labeling/label_data.py @@ -0,0 +1,224 @@ +import json +import os +from collections import defaultdict + +from droid.camera_utils.wrappers.recorded_multi_camera_wrapper import RecordedMultiCameraWrapper +from droid.training.data_loading.trajectory_sampler import collect_data_folderpaths +from droid.trajectory_utils.misc import visualize_timestep +from droid.trajectory_utils.trajectory_reader import TrajectoryReader + +# Prepare Calibration Info # +dir_path = os.path.dirname(os.path.realpath(__file__)) +task_label_filepath = os.path.join(dir_path, "task_label_filepath.json") + + +def load_task_info(): + if not os.path.isfile(task_label_filepath): + return {} + with open(task_label_filepath, "r") as jsonFile: + task_labels = json.load(jsonFile) + return task_labels + + +def update_task_label(folderpath, traj_id): + task_labels = load_task_info() + task_labels[folderpath] = traj_id + + with open(task_label_filepath, "w") as jsonFile: + json.dump(task_labels, jsonFile) + + +# Classify Traj # +def label_trajectory( + filepath, + recording_folderpath=None, + remove_skipped_steps=False, + camera_kwargs={}, + max_width=1000, + max_height=500, + aspect_ratio=1.5, +): + traj_reader = TrajectoryReader(filepath, read_images=True) + if recording_folderpath: + if camera_kwargs is {}: + camera_kwargs = defaultdict(lambda: {"image": True}) + camera_reader = RecordedMultiCameraWrapper(recording_folderpath, camera_kwargs) + + horizon = traj_reader.length() + camera_failed = False + + while True: + for i in range(horizon): + # Get HDF5 Data # + timestep = traj_reader.read_timestep() + + # If Applicable, Get Recorded Data # + if recording_folderpath: + timestamp_dict = timestep["observation"]["timestamp"]["cameras"] + camera_obs = camera_reader.read_cameras(timestamp_dict=timestamp_dict) + camera_failed = camera_obs is None + + # Add Data To Timestep # + if not camera_failed: + timestep["observation"].update(camera_obs) + + # Filter Steps # + step_skipped = not timestep["observation"]["controller_info"].get("movement_enabled", True) + delete_skipped_step = step_skipped and remove_skipped_steps + delete_step = delete_skipped_step or camera_failed + if delete_step: + continue + + # Get Image Info # + assert "image" in timestep["observation"] + img_obs = timestep["observation"]["image"] + camera_ids = list(img_obs.keys()) + len(camera_ids) + camera_ids.sort() + + # Skip # + if (i % 10) != 0: + continue + + # Visualize Timestep # + visualize_timestep( + timestep, max_width=max_width, max_height=max_height, aspect_ratio=aspect_ratio, pause_time=15 + ) + + # Check Termination # + key_pressed = input("Enter Label (Putting In: A, Taking Out: S):\n") + + if key_pressed in ["a", "s", "b"]: + # Close Readers # + traj_reader.close() + if recording_folderpath: + camera_reader.disable_cameras() + + if key_pressed == "b": + return -1 + return key_pressed == "a" + + +# Check Traj # +def check_trajectory( + filepath, + recording_folderpath=None, + remove_skipped_steps=False, + camera_kwargs={}, + max_width=1000, + max_height=500, + aspect_ratio=1.5, +): + traj_reader = TrajectoryReader(filepath, read_images=True) + if recording_folderpath: + if camera_kwargs is {}: + camera_kwargs = defaultdict(lambda: {"image": True}) + camera_reader = RecordedMultiCameraWrapper(recording_folderpath, camera_kwargs) + + horizon = traj_reader.length() + camera_failed = False + + while True: + for i in range(horizon): + # Get HDF5 Data # + timestep = traj_reader.read_timestep() + + # If Applicable, Get Recorded Data # + if recording_folderpath: + timestamp_dict = timestep["observation"]["timestamp"]["cameras"] + camera_obs = camera_reader.read_cameras(timestamp_dict=timestamp_dict) + camera_failed = camera_obs is None + + # Add Data To Timestep # + if not camera_failed: + timestep["observation"].update(camera_obs) + + # Filter Steps # + step_skipped = not timestep["observation"]["controller_info"].get("movement_enabled", True) + delete_skipped_step = step_skipped and remove_skipped_steps + delete_step = delete_skipped_step or camera_failed + if delete_step: + continue + + # Get Image Info # + assert "image" in timestep["observation"] + img_obs = timestep["observation"]["image"] + camera_ids = list(img_obs.keys()) + len(camera_ids) + camera_ids.sort() + + # Skip # + if (i % 10) != 0: + continue + + # Visualize Timestep # + visualize_timestep( + timestep, max_width=max_width, max_height=max_height, aspect_ratio=aspect_ratio, pause_time=15 + ) + + # Check Termination # + key_pressed = input("Enter Label (Putting In: A, Taking Out: S):\n") + + if key_pressed in ["a", "s", "b", " "]: + # Close Readers # + traj_reader.close() + if recording_folderpath: + camera_reader.disable_cameras() + + if key_pressed == " ": + return None + elif key_pressed == "b": + return -1 + return key_pressed == "a" + + +def filter_func(h5_metadata): + curr_task = h5_metadata["current_task"] + desired_task = "Move object into or out of container" + keep = desired_task in curr_task + return keep + + +traj_folders = collect_data_folderpaths(filter_func=filter_func, remove_failures=True) +labeled_trajectories = list(load_task_info().keys()) +labeled_traj_dict = load_task_info() + +i = 0 +label = 0 + +# while i < len(traj_folders): +# folderpath = traj_folders[i] +# name = folderpath.split('/')[-1] + +# filepath = os.path.join(folderpath, 'trajectory.h5') +# recording_folderpath = os.path.join(folderpath, 'recordings') +# if name in labeled_trajectories and labeled_traj_dict[name] == 1: +# label = check_trajectory(filepath, recording_folderpath=recording_folderpath, remove_skipped_steps=True) + +# if label != None: +# print('relabling') +# update_task_label(name, label) + +# i += 1 + + +while i < len(traj_folders): + folderpath = traj_folders[i] + name = folderpath.split("/")[-1] + if (label != -1) and (name in labeled_trajectories): + i += 1 + continue + + filepath = os.path.join(folderpath, "trajectory.h5") + recording_folderpath = os.path.join(folderpath, "recordings", "SVO") + try: + label = label_trajectory(filepath, recording_folderpath=recording_folderpath, remove_skipped_steps=True) + except: + i += 1 + continue + + if label == -1: + i -= 1 + else: + update_task_label(name, label) + i += 1 diff --git a/scripts/labeling/task_label_filepath.json b/scripts/labeling/task_label_filepath.json new file mode 100644 index 0000000..0e0e5ef --- /dev/null +++ b/scripts/labeling/task_label_filepath.json @@ -0,0 +1 @@ +{"Fri_Mar__3_16:33:25_2023": false, "Fri_Mar__3_15:31:24_2023": false, "Fri_Mar__3_16:33:59_2023": true, "Fri_Mar__3_16:00:05_2023": false, "Fri_Mar__3_15:33:52_2023": false, "Fri_Mar__3_15:30:01_2023": false, "Fri_Mar__3_15:32:00_2023": true, "Fri_Mar__3_15:59:46_2023": true, "Fri_Mar__3_15:59:12_2023": false, "Fri_Mar__3_15:54:59_2023": true, "Fri_Mar__3_15:56:29_2023": false, "Fri_Mar__3_15:33:36_2023": true, "Fri_Mar__3_15:57:02_2023": true, "Fri_Mar__3_15:33:17_2023": false, 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b/scripts/main.py new file mode 100644 index 0000000..0d41e2d --- /dev/null +++ b/scripts/main.py @@ -0,0 +1,14 @@ +from droid.controllers.oculus_controller import VRPolicy +from droid.robot_env import RobotEnv +from droid.user_interface.data_collector import DataCollecter +from droid.user_interface.gui import RobotGUI + +# Make the robot env +env = RobotEnv() +controller = VRPolicy() + +# Make the data collector +data_collector = DataCollecter(env=env, controller=controller) + +# Make the GUI +user_interface = RobotGUI(robot=data_collector) diff --git a/scripts/postprocess.py b/scripts/postprocess.py new file mode 100644 index 0000000..a41716e --- /dev/null +++ b/scripts/postprocess.py @@ -0,0 +1,172 @@ +""" +postprocess.py + +Core script for processing & uploading collected demonstration data to the DROID Amazon S3 bucket. + +Performs the following: + - Checks for "cached" uploads in `DROID/cache/-cache.json; avoids repetitive work. + - Parses out relevant metadata from each trajectory --> *errors* on "unexpected format" (fail-fast). + - Converts all SVO files to the relevant MP4s --> logs "corrupt" data (silent). + - Runs validation logic on all *new* demonstrations --> errors on "corrupt" data (fail-fast). + - Writes JSON metadata for all *new* demonstrations for easy data querying. + - Uploads each demonstration "day" data to Amazon S3 bucket and updates `DROID/cache/-cache.json`. + +Note :: Must run on hardware with the ZED SDK; highly recommended to run this on the data collection laptop directly! + +Run from DROID directory root with: `python scripts/postprocess.py --lab +""" +import json +import os +from dataclasses import dataclass +from pathlib import Path +from typing import Dict, Tuple + +import pyrallis + +from droid.postprocessing.parse import parse_datetime +from droid.postprocessing.stages import run_indexing, run_processing, run_upload +from droid.postprocessing.util.validate import validate_user2id + +# Registry of known labs and associated users. Note that we canonicalize names as "irst ast". +# => We map each "name" to a unique ID (8 characters); when adding new users, make sure to pick a unique ID! +# + Simple ID generator --> python -c "import uuid; print(str(uuid.uuid4())[:8])" +# fmt: off +REGISTERED_MEMBERS: Dict[str, Dict[str, str]] = { + "Lab Name": { + "First Last": "4b1a56cc", + }, +} +validate_user2id(REGISTERED_MEMBERS) + +# Try to be as consistent as possible using the "canonical" names in the dictionary above; however, for unavoidable +# cases (e.g., unfortunate typos, using names/nicknames interchangeably), update the dictionary below! +REGISTERED_ALIASES: Dict[str, Tuple[str, str]] = { + **{user: (lab, user) for lab, users in REGISTERED_MEMBERS.items() for user in users}, + + # Note: Add duplicates/typos below (follow format)! + **{ + "Firstt Last": ("Lab Name", "First Last"), + } +} +# fmt: on + + +@dataclass +class DROIDUploadConfig: + # fmt: off + lab: str # Lab ID (all uppercase) -- e.g., "CLVR", "ILIAD", "REAL" + data_dir: Path = Path("data") # Path to top-level directory with "success"/"failure" directories + + # Stage Handling + do_index: bool = True # Whether to run an initial indexing pass prior to processing stage + do_process: bool = True # Whether to run processing (can skip if just want to upload) + do_upload: bool = True # Whether to run uploading to S3 + + # Important :: Only update once you're sure *all* demonstrations prior to this date have been uploaded! + # > If not running low on disk, leave alone! + start_date: str = "2023-01-01" # Start indexing/processing/uploading demos starting from this date + + # AWS/S3 Upload Credentials + credentials_json: Path = Path( # Path to JSON file with Access Key/Secret Key (don't push to git!) + "droid-credentials.json" + ) + + # Cache Parameters + cache_dir: Path = Path("cache/postprocessing") # Relative path to `cache` directory; defaults to repository root + # fmt: on + + +@pyrallis.wrap() +def postprocess(cfg: DROIDUploadConfig) -> None: + print(f"[*] Starting Data Processing & Upload for Lab `{cfg.lab}`") + + # Initialize Cache Data Structure --> Load Uploaded/Processed List from `cache_dir` (if exists) + # => Note that in calls to each stage, cache is updated *in-place* (allows for the try/finally to work) + cache = { + "lab": cfg.lab, + "start_date": cfg.start_date, + "totals": {k: {"success": 0, "failure": 0} for k in ["scanned", "indexed", "processed", "uploaded", "errored"]}, + "scanned_paths": {"success": {}, "failure": {}}, + "indexed_uuids": {"success": {}, "failure": {}}, + "processed_uuids": {"success": {}, "failure": {}}, + "uploaded_uuids": {"success": {}, "failure": {}}, + "errored_paths": {"success": {}, "failure": {}}, + } + os.makedirs(cfg.cache_dir, exist_ok=True) + if (cfg.cache_dir / f"{cfg.lab}-cache.json").exists(): + with open(cfg.cache_dir / f"{cfg.lab}-cache.json", "r") as f: + loaded_cache = json.load(f) + + # Only replace cache on matched `start_date` --> not an ideal solution (cache invalidation is hard!) + if loaded_cache["start_date"] == cache["start_date"]: + cache = loaded_cache + + # === Run Post-Processing Stages === + try: + start_datetime = parse_datetime(cfg.start_date, mode="day") + + # Stage 1 --> "Indexing" + if cfg.do_index: + run_indexing( + cfg.data_dir, + cfg.lab, + start_datetime, + aliases=REGISTERED_ALIASES, + members=REGISTERED_MEMBERS, + totals=cache["totals"], + scanned_paths=cache["scanned_paths"], + indexed_uuids=cache["indexed_uuids"], + errored_paths=cache["errored_paths"], + ) + else: + print("[*] Stage 1 =>> Skipping Indexing!") + + # Stage 2 --> "Processing" + if cfg.do_process: + run_processing( + cfg.data_dir, + cfg.lab, + aliases=REGISTERED_ALIASES, + members=REGISTERED_MEMBERS, + totals=cache["totals"], + indexed_uuids=cache["indexed_uuids"], + processed_uuids=cache["processed_uuids"], + errored_paths=cache["errored_paths"], + ) + else: + print("[*] Stage 2 =>> Skipping Processing!") + + # Stage 3 --> "Upload" + if cfg.do_upload: + run_upload( + cfg.data_dir, + cfg.lab, + cfg.credentials_json, + totals=cache["totals"], + processed_uuids=cache["processed_uuids"], + uploaded_uuids=cache["uploaded_uuids"], + ) + else: + print("[*] Stage 3 =>> Skipping Uploading!") + + finally: + # Dump `cache` on any interruption! + with open(cfg.cache_dir / f"{cfg.lab}-cache.json", "w") as f: + json.dump(cache, f, indent=2) + + # Print Statistics + print( + "[*] Terminated Post-Processing Script --> Summary:\n" + f"\t- Scanned: {sum(cache['totals']['scanned'].values())}\n" + f"\t- Indexed: {sum(cache['totals']['indexed'].values())}\n" + f"\t- Processed: {sum(cache['totals']['processed'].values())}\n" + f"\t- Uploaded: {sum(cache['totals']['uploaded'].values())}\n" + f"\t- Total Errors: {sum(cache['totals']['errored'].values())}\n" + f"\t -> Errors in `success/` [FIX IMMEDIATELY]: {cache['totals']['errored']['success']}\n" + f"\t -> Errors in `failure/` [VERIFY]: {cache['totals']['errored']['failure']}\n\n" + f"[*] See `{cfg.lab}-cache.json` in {cfg.cache_dir} for more information!\n" + ) + + +if __name__ == "__main__": + postprocess() diff --git a/scripts/server/launch_server.sh b/scripts/server/launch_server.sh new file mode 100644 index 0000000..1337031 --- /dev/null +++ b/scripts/server/launch_server.sh @@ -0,0 +1,5 @@ +#!/bin/bash +source ~/anaconda3/etc/profile.d/conda.sh +conda activate polymetis-local +cd $( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) +python run_server.py diff --git a/scripts/server/run_server.py b/scripts/server/run_server.py new file mode 100644 index 0000000..a8df802 --- /dev/null +++ b/scripts/server/run_server.py @@ -0,0 +1,9 @@ +import zerorpc + +from droid.franka.robot import FrankaRobot + +if __name__ == "__main__": + robot_client = FrankaRobot() + s = zerorpc.Server(robot_client) + s.bind("tcp://0.0.0.0:4242") + s.run() diff --git a/scripts/setup/README.md b/scripts/setup/README.md new file mode 100644 index 0000000..86e15dd --- /dev/null +++ b/scripts/setup/README.md @@ -0,0 +1,45 @@ +# Overview + +The scripts in this directory can be run to setup the NUC and laptop for the DROID project. Before running these scripts the following steps need to be accomplished: + +* Install Ubuntu 22.04 +* Setup Free Ubuntu Pro Account +* Complete system parameters file + +# Install latest Ubuntu + +The following [tutorial](https://ubuntu.com/tutorials/install-ubuntu-desktop#1-overview) demonstrates how to install Ubuntu 22.04 on your machine. + +# Setup Ubuntu Pro Account + +Register an Ubuntu Pro account [here](https://ubuntu.com/pro). Note your Ubuntu Pro token from your Ubuntu Pro dashboard which will be viewable once you have created an account and logged in. + +# Complete parameters +You will need to add the IP parameters, sudo password, robot type, robot serial number, Ubuntu Pro token and Charuco board paramerers in the [parameters.py](https://github.com/AlexanderKhazatsky/DROID/blob/main/droid/misc/parameters.py) file. + +You will need to add your the IP address of your Franka Emika control server to the `robot_ip` parameter in `config//franka_hardware.yaml`. + +# NUC Setup + +Run `sudo ./nuc_setup.sh`. This script accomplishes the following steps: + +* Ensure all dependent submodules are pulled locally +* Installs Docker +* Installs realtime kernel and sets to default +* Disables CPU frequency scaling and sets CPU governor to performance +* Builds docker container for control server +* Sets a static IP +* Runs control server docker container with restart policy that ensure it starts on system boot + + +# Laptop Setup + +Run `sudo ./laptop_setup.sh`. This script accomplishes the following steps: + +* Ensure all dependent submodules are pulled locally +* Installs Docker +* Installs and configures nvidia container toolkit +* Installs APK on Oculus device +* Builds docker container for user client +* Sets a static IP +* Runs user client docker container diff --git a/scripts/setup/intro.txt b/scripts/setup/intro.txt new file mode 100644 index 0000000..414661b --- /dev/null +++ b/scripts/setup/intro.txt @@ -0,0 +1,50 @@ + .----------------. .----------------. .----------------. .----------------. +| .--------------. || .--------------. || .--------------. || .--------------. | +| | _______ | || | _____ | || | ________ | || | _____ | | +| | |_ __ \ | || | / ___ `. | || | |_ ___ `. | || | / ___ `. | | +| | | |__) | | || | |_/___) | | || | | | `. \ | || | |_/___) | | | +| | | __ / | || | .'____.' | || | | | | | | || | .'____.' | | +| | _| | \ \_ | || | / /____ | || | _| |___.' / | || | / /____ | | +| | |____| |___| | || | |_______| | || | |________.' | || | |_______| | | +| | | || | | || | | || | | | +| '--------------' || '--------------' || '--------------' || '--------------' | + '----------------' '----------------' '----------------' '----------------' + .----------------. .----------------. .----------------. .----------------. .----------------. +| .--------------. || .--------------. || .--------------. || .--------------. || .--------------. | +| | _______ | || | _________ | || | _________ | || | _____ _____ | || | ______ | | +| | / ___ | | || | |_ ___ | | || | | _ _ | | || ||_ _||_ _|| || | |_ __ \ | | +| | | (__ \_| | || | | |_ \_| | || | |_/ | | \_| | || | | | | | | || | | |__) | | | +| | '.___`-. | || | | _| _ | || | | | | || | | ' ' | | || | | ___/ | | +| | |`\____) | | || | _| |___/ | | || | _| |_ | || | \ `--' / | || | _| |_ | | +| | |_______.' | || | |_________| | || | |_____| | || | `.__.' | || | |_____| | | +| | | || | | || | | || | | || | | | +| '--------------' || '--------------' || '--------------' || '--------------' || '--------------' | + '----------------' '----------------' '----------------' '----------------' '----------------' + _____ + | | + | | | | + |_____| + ____ ___|_|___ ____ + ()___) ()___) + // /| |\ \\ + // / | | \ \\ + (___) |___________| (___) + (___) (_______) (___) + (___) (___) (___) + (___) |_| (___) + (___) ___/___\___ | | + | | | | | | + | | |___________| /___\ + /___\ ||| ||| // \\ + // \\ ||| ||| \\ // + \\ // ||| ||| \\ // + \\ // ()__) (__() + /// \\\ + /// \\\ + _///___ ___\\\_ + |_______| |_______| + + + + + diff --git a/scripts/setup/laptop_setup.sh b/scripts/setup/laptop_setup.sh new file mode 100755 index 0000000..2924106 --- /dev/null +++ b/scripts/setup/laptop_setup.sh @@ -0,0 +1,208 @@ +#!/bin/bash + +# Function to display devices and ask for confirmation +function confirm_devices { + devices=$(adb devices) + + echo "List of devices:" + echo "$devices" + + read -p "Is your oculus device connected? (y/n): " confirmation + + if [ "$confirmation" != "y" ] && [ "$confirmation" != "Y" ]; then + return 1 + fi +} + +# print out nice ascii art +ascii=$(cat ./intro.txt) +echo "$ascii" + +echo "Welcome to the DROID setup process." + + +read -p "Is this your first time setting up the machine? (yes/no): " first_time + +# path variables +ROOT_DIR="$(git rev-parse --show-toplevel)" +DOCKER_COMPOSE_DIR="$ROOT_DIR/.docker/laptop" +DOCKER_COMPOSE_FILE="$DOCKER_COMPOSE_DIR/docker-compose-laptop.yaml" + + +if [ "$first_time" = "yes" ]; then + # ensure local files are up to date and git lfs is configured + echo -e "Ensure all submodules are cloned and oculus_reader APK file pulled locally \n" + + eval "$(ssh-agent -s)" + ssh-add /home/robot/.ssh/id_ed25519 + curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash + apt update && apt install -y git-lfs + git lfs install # has to be run only once on a single user account + cd $ROOT_DIR && git submodule update --recursive --remote --init + + # install docker + echo -e "Install docker \n" + + apt-get update + apt-get install ca-certificates curl gnupg + install -m 0755 -d /etc/apt/keyrings + curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg + chmod a+r /etc/apt/keyrings/docker.gpg + echo \ + "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \ + "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \ + sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + apt-get update + apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin + + # install and configure nvidia container toolkit + echo -e "Install Nvidia container toolkit \n" + + distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \ + && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \ + && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \ + sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \ + sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list + apt-get update + apt-get install -y nvidia-container-toolkit + nvidia-ctk runtime configure --runtime=docker + systemctl restart docker + +else + echo -e "\nWelcome back!\n" +fi + +read -p "Have you installed the oculus_reader APK file on your Oculus Quest 2? (yes/no): " first_time + +if [ "$first_time" = "no" ]; then + + # install APK on Oculus device + echo -e "Install APK on oculus device \n" + + #usermod -aG plugdev $LOGNAME + #newgrp plugdev + apt install -y android-tools-adb android-sdk-platform-tools-common + adb start-server + + read -p "Connect your Oculus Quest 2 via USB-C, and approve USB debugging within device. Confirm with y when complete? (y/n): " confirmation + + if [ "$confirmation" != "y" ] && [ "$confirmation" != "Y" ]; then + return 1 + else + return exit 1 + fi + + + # Retry loop + max_retries=3 + retry_count=0 + + while ! confirm_devices; do + ((retry_count++)) + if [ "$retry_count" -ge "$max_retries" ]; then + echo "Max retry attempts reached. Aborting installation." + exit 1 + fi + echo "Retrying..." + done + + echo $ROOT_DIR + pip3 install -e $ROOT_DIR/droid/oculus_reader + python3 $ROOT_DIR/droid/oculus_reader/oculus_reader/reader.py + echo cleaning up threads ... + sleep 5 + adb kill-server +fi + +# expose parameters as environment variables +echo -e "Set environment variables from parameters file \n" + +PARAMETERS_FILE="$(git rev-parse --show-toplevel)/droid/misc/parameters.py" +awk -F'[[:space:]]*=[[:space:]]*' '/^[[:space:]]*([[:alnum:]_]+)[[:space:]]*=/ && $1 != "ARUCO_DICT" { gsub("\"", "", $2); print "export " $1 "=" $2 }' "$PARAMETERS_FILE" > temp_env_vars.sh +source temp_env_vars.sh +export ROOT_DIR=$ROOT_DIR +export NUC_IP=$nuc_ip +export LAPTOP_IP=$laptop_ip +export ROBOT_IP=$robot_ip +export SUDO_PASSWORD=$sudo_password +export ROBOT_TYPE=$robot_type +export ROBOT_SERIAL_NUMBER=$robot_serial_number +export HAND_CAMERA_ID=$hand_camera_id +export VARIED_CAMERA_1_ID=$varied_camera_1_id +export VARIED_CAMERA_2_ID=$varied_camera_2_id +export LIBFRANKA_VERSION=$libfranka_version +export ROOT_DIR=$ROOT_DIR +rm temp_env_vars.sh + +if [ "$ROBOT_TYPE" == "panda" ]; then + export LIBFRANKA_VERSION=0.9.0 +else + export LIBFRANKA_VERSION=0.10.0 +fi + + +# ensure GUI window is accessible from container +echo -e "Set Docker Xauth for x11 forwarding \n" + +export DOCKER_XAUTH=/tmp/.docker.xauth +rm $DOCKER_XAUTH +touch $DOCKER_XAUTH +xauth nlist $DISPLAY | sed -e 's/^..../ffff/' | xauth -f $DOCKER_XAUTH nmerge - + +# build client server container + +read -p "Do you want to rebuild the container image? (yes/no): " first_time + +if [ "$first_time" = "yes" ]; then + echo -e "build control server container \n" + cd $DOCKER_COMPOSE_DIR && docker compose -f $DOCKER_COMPOSE_FILE build +fi + +# find ethernet interface on device +echo -e "\n set static ip \n" + +echo "Select an Ethernet interface to set a static IP for:" + +interfaces=$(ip -o link show | grep -Eo '^[0-9]+: (en|eth|ens|eno|enp)[a-z0-9]*' | awk -F' ' '{print $2}') + +# Display available interfaces for the user to choose from +select interface_name in $interfaces; do + if [ -n "$interface_name" ]; then + break + else + echo "Invalid selection. Please choose a valid interface." + fi +done + +echo "You've selected: $interface_name" + +# Add and configure the static IP connection +nmcli connection delete "laptop_static" +nmcli connection add con-name "laptop_static" ifname "$interface_name" type ethernet +nmcli connection modify "laptop_static" ipv4.method manual ipv4.address $LAPTOP_IP/24 +nmcli connection up "laptop_static" + +echo "Static IP configuration complete for interface $interface_name." + +# run docker container +read -p "Please plug in and out each camera connected via usb and press enter once done?: " _ + +echo "Starting ADB server on host machine" +adb kill-server +adb -a nodaemon server start &> /dev/null & + +# Retry loop +max_retries=3 +retry_count=0 + +while ! confirm_devices; do + ((retry_count++)) + if [ "$retry_count" -ge "$max_retries" ]; then + echo "Max retry attempts reached. Aborting installation." + exit 1 + fi + echo "Retrying..." +done + +echo -e "run client application \n" +docker compose -f $DOCKER_COMPOSE_FILE up diff --git a/scripts/setup/nuc_setup.sh b/scripts/setup/nuc_setup.sh new file mode 100755 index 0000000..bd8679e --- /dev/null +++ b/scripts/setup/nuc_setup.sh @@ -0,0 +1,127 @@ +#!/bin/bash + +# print out nice ascii art +ascii=$(cat ./intro.txt) +echo "$ascii" + + +echo "Welcome to the DROID setup process." + +read -p "Is this your first time setting up the machine? (yes/no): " first_time + +if [ "$first_time" = "yes" ]; then + echo "Great! Let's proceed with the setup." + + # ensure submodules are cloned + echo "Repulling all submodules." + read -p "Enter the user whose ssh credentials will be used: " USERNAME + eval "$(ssh-agent -s)" + ssh-add /home/$USERNAME/.ssh/id_ed25519 + ROOT_DIR="$(git rev-parse --show-toplevel)" + cd $ROOT_DIR && git submodule update --recursive --remote --init + + # install docker + echo -e "\nInstall docker \n" + + apt-get update + apt-get install ca-certificates curl gnupg + install -m 0755 -d /etc/apt/keyrings + curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg + chmod a+r /etc/apt/keyrings/docker.gpg + echo \ + "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \ + "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \ + sudo tee /etc/apt/sources.list.d/docker.list > /dev/null + apt-get update + apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin + systemctl enable docker + + # perform rt-patch + echo -e "\nPerform realtime patch of kernel \n" + + apt update && apt install ubuntu-advantage-tools + pro attach $UBUNTU_PRO_TOKEN + pro enable realtime-kernel + + # cpu frequency scaling + echo -e "\nSet cpu frequency scaling settings \n" + + apt install cpufrequtils -y + systemctl disable ondemand + systemctl enable cpufrequtils + sh -c 'echo "GOVERNOR=performance" > /etc/default/cpufrequtils' + systemctl daemon-reload && sudo systemctl restart cpufrequtils + +else + echo -e "\nWelcome back!\n" +fi + + +# Read the parameter values from the Python script using awk and convert to env variables +echo -e "\nSet environment variables from parameters file\n" + +PARAMETERS_FILE="$(git rev-parse --show-toplevel)/droid/misc/parameters.py" +awk -F'[[:space:]]*=[[:space:]]*' '/^[[:space:]]*([[:alnum:]_]+)[[:space:]]*=/ && $1 != "ARUCO_DICT" { gsub("\"", "", $2); print "export " $1 "=" $2 }' "$PARAMETERS_FILE" > temp_env_vars.sh +source temp_env_vars.sh +export ROOT_DIR=$(git rev-parse --show-toplevel) +export NUC_IP=$nuc_ip +export ROBOT_IP=$robot_ip +export LAPTOP_IP=$laptop_ip +export SUDO_PASSWORD=$sudo_password +export ROBOT_TYPE=$robot_type +export ROBOT_SERIAL_NUMBER=$robot_serial_number +export HAND_CAMERA_ID=$hand_camera_id +export VARIED_CAMERA_1_ID=$varied_camera_1_id +export VARIED_CAMERA_2_ID=$varied_camera_2_id +export UBUNTU_PRO_TOKEN=$ubuntu_pro_token +rm temp_env_vars.sh + +if [ "$ROBOT_TYPE" == "panda" ]; then + export LIBFRANKA_VERSION=0.9.0 +else + export LIBFRANKA_VERSION=0.10.0 +fi + +# build control server container + +read -p "Do you want to rebuild the container image? (yes/no): " first_time + +if [ "$first_time" = "yes" ]; then + echo -e "\n build control server container \n" + + DOCKER_COMPOSE_DIR="$ROOT_DIR/.docker/nuc" + DOCKER_COMPOSE_FILE="$DOCKER_COMPOSE_DIR/docker-compose-nuc.yaml" + cd $DOCKER_COMPOSE_DIR && docker-compose -f $DOCKER_COMPOSE_FILE build +fi + +# find ethernet interface on device +echo -e "\n set static ip \n" + +echo "Select an Ethernet interface to set a static IP for:" + +interfaces=$(ip -o link show | grep -Eo '^[0-9]+: (en|eth|ens|eno|enp)[a-z0-9]*' | awk -F' ' '{print $2}') + +# Display available interfaces for the user to choose from +select interface_name in $interfaces; do + if [ -n "$interface_name" ]; then + break + else + echo "Invalid selection. Please choose a valid interface." + fi +done + +echo "You've selected: $interface_name" + +# Add and configure the static IP connection +nmcli connection delete "nuc_static" +nmcli connection add con-name "nuc_static" ifname "$interface_name" type ethernet +nmcli connection modify "nuc_static" ipv4.method manual ipv4.address $NUC_IP/24 +nmcli connection up "nuc_static" + +echo "Static IP configuration complete for interface $interface_name." + +# run control server container +echo -e "8. run control server \n" + +DOCKER_COMPOSE_FILE="$(git rev-parse --show-toplevel)/.docker/nuc/docker-compose-nuc.yaml" +docker compose -f $DOCKER_COMPOSE_FILE up -d diff --git a/scripts/tests/calibrate_cameras.py b/scripts/tests/calibrate_cameras.py new file mode 100644 index 0000000..d655b52 --- /dev/null +++ b/scripts/tests/calibrate_cameras.py @@ -0,0 +1,11 @@ +from droid.controllers.oculus_controller import VRPolicy +from droid.robot_env import RobotEnv +from droid.trajectory_utils.misc import calibrate_camera + +# Make the robot env +env = RobotEnv() +controller = VRPolicy() +camera_id = "19824535" + +print("Ready") +calibrate_camera(env, camera_id, controller) diff --git a/scripts/tests/collect_trajectory.py b/scripts/tests/collect_trajectory.py new file mode 100644 index 0000000..1154e98 --- /dev/null +++ b/scripts/tests/collect_trajectory.py @@ -0,0 +1,10 @@ +from droid.controllers.oculus_controller import VRPolicy +from droid.robot_env import RobotEnv +from droid.trajectory_utils.misc import collect_trajectory + +# Make the robot env +env = RobotEnv() +controller = VRPolicy() + +print("Ready") +collect_trajectory(env, controller=controller) diff --git a/scripts/tests/memory_leak.py b/scripts/tests/memory_leak.py new file mode 100644 index 0000000..d3a538a --- /dev/null +++ b/scripts/tests/memory_leak.py @@ -0,0 +1,205 @@ +import glob +import random + +import matplotlib.pyplot as plt +import psutil +import pyzed.sl as sl +from tqdm import tqdm + +from droid.camera_utils.wrappers.recorded_multi_camera_wrapper import RecordedMultiCameraWrapper +from droid.data_loading.trajectory_sampler import * + + +def example_script(): + path = "/home/sasha/DROID/data/success/2023-02-15/Wed_Feb_15_19:08:33_2023/recordings/23404442.svo" + + init = sl.InitParameters() + init.set_from_svo_file(path) + + # init = sl.InitParameters(svo_input_filename=path, svo_real_time_mode=False) + cam = sl.Camera() + status = cam.open(init) + if status != sl.ERROR_CODE.SUCCESS: + print(repr(status)) + return + + runtime = sl.RuntimeParameters() + mat = sl.Mat() + while True: # for 'q' key + err = cam.grab(runtime) + if err == sl.ERROR_CODE.SUCCESS: + cam.retrieve_image(mat) + else: + break + cam.close() + + +data_filtering_kwargs = dict( + train_p=0.5, + remove_failures=True, + filter_func=None, +) + +traj_loading_kwargs = dict( + remove_skipped_steps=True, + num_samples_per_traj=None, + num_samples_per_traj_coeff=1.5, +) + +timestep_filtering_kwargs = dict( + # Eventually need to enable sweeper to take lists # + action_space="cartesian_velocity", + robot_state_keys=[], + camera_extrinsics=[], +) + +image_transform_kwargs = dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=True, +) + +camera_kwargs = dict( + hand_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), + fixed_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), + varied_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), +) + +train_folderpaths, test_folderpaths = generate_train_test_split(**data_filtering_kwargs) + +traj_sampler = TrajectorySampler( + train_folderpaths, + traj_loading_kwargs=traj_loading_kwargs, + timestep_filtering_kwargs=timestep_filtering_kwargs, + image_transform_kwargs=image_transform_kwargs, + camera_kwargs=camera_kwargs, +) + + +def traj_sampling_script(): + traj_sampler.fetch_samples() + + +def load_random_traj_script(): + folderpath = random.choice(train_folderpaths) + filepath = os.path.join(folderpath, "trajectory.h5") + recording_folderpath = os.path.join(folderpath, "recordings/MP4") + + load_trajectory( + filepath, + recording_folderpath=recording_folderpath, + read_cameras=True, + camera_kwargs=camera_kwargs, + **traj_loading_kwargs, + ) + + +def camera_wrapper_script(): + folderpath = random.choice(train_folderpaths) + recording_folderpath = os.path.join(folderpath, "recordings") + + camera_reader = RecordedMultiCameraWrapper(recording_folderpath, **camera_kwargs) + + while True: + camera_obs = camera_reader.read_cameras() + camera_failed = camera_obs is None + if camera_failed: + break + + camera_reader.disable_cameras() + + +def single_reader_script(): + folderpath = random.choice(train_folderpaths) + recording_folderpath = os.path.join(folderpath, "recordings") + all_filepaths = glob.glob(recording_folderpath + "/*.svo") + + path = random.choice(all_filepaths) + + camera = RecordedZedCamera(path, serial_number="") + camera.set_reading_parameters(resolution=(256, 256)) + + frame_count = camera.get_frame_count() + for _i in range(frame_count): + camera.read_camera() + + camera.disable_camera() + + +# from droid.training.data_loading.data_loader import create_train_test_data_loader +# data_processing_kwargs=dict( +# timestep_filtering_kwargs=dict( +# # Eventually need to enable sweeper to take lists # +# action_space='cartesian_velocity', +# robot_state_keys=[], +# camera_extrinsics=[], +# image_views=['hand_camera'], +# depth_views=[], +# pointcloud_views=[], +# ), + +# image_transform_kwargs=dict( +# remove_alpha=True, +# bgr_to_rgb=True, +# to_tensor=True, +# augment=True, +# ), +# ) + +# camera_kwargs=dict( +# image=True, +# depth=False, +# pointcloud=False, + +# resolution_kwargs=dict( +# hand_camera=(256, 256), +# fixed_camera=(256, 256), +# varied_camera=(256, 256), +# ), +# ) + +# data_loader_kwargs=dict( +# batch_size=2, +# prefetch_factor=1, +# buffer_size=200, +# num_workers=4, + +# data_filtering_kwargs=dict( +# train_p=0.5, +# remove_failures=True, +# filter_func=None, +# ), + +# traj_loading_kwargs=dict( +# remove_skipped_steps=True, +# num_samples_per_traj=20, +# num_samples_per_traj_coeff=1.5, +# ), +# ) + +# train_dataloader, test_dataloader = create_train_test_data_loader( +# data_loader_kwargs=data_loader_kwargs, data_processing_kwargs=data_processing_kwargs, +# camera_kwargs=camera_kwargs) +# iterator = iter(train_dataloader) + +# def training_script(): +# next(iterator) + + +if __name__ == "__main__": + memory_usage = [] + for _ in tqdm(range(100)): + curr_mem_usage = psutil.virtual_memory()[3] + memory_usage.append(curr_mem_usage) + + # single_reader_script() + load_random_traj_script() + + try: + plt.plot(memory_usage) + plt.ylabel("RAM Used") + plt.xlabel("SVO Files Read") + plt.show() + except: + pass diff --git a/scripts/tests/replay_trajectory.py b/scripts/tests/replay_trajectory.py new file mode 100644 index 0000000..35abd44 --- /dev/null +++ b/scripts/tests/replay_trajectory.py @@ -0,0 +1,12 @@ +from droid.robot_env import RobotEnv +from droid.trajectory_utils.misc import replay_trajectory + +trajectory_folderpath = "/home/sasha/DROID/data/success/2023-02-16/Thu_Feb_16_16:27:00_2023" +action_space = "joint_position" + +# Make the robot env +env = RobotEnv(action_space=action_space) + +# Replay Trajectory # +h5_filepath = trajectory_folderpath + "/trajectory.h5" +replay_trajectory(env, filepath=h5_filepath) diff --git a/scripts/training/sanity_check/image_obs.py b/scripts/training/sanity_check/image_obs.py new file mode 100644 index 0000000..02f516d --- /dev/null +++ b/scripts/training/sanity_check/image_obs.py @@ -0,0 +1,65 @@ +from droid.training.model_trainer import exp_launcher + +variant = dict( + exp_name="sanity_check_image_obs", + use_gpu=True, + seed=0, + training_kwargs=dict( + num_epochs=100, + grad_steps_per_epoch=1000, + weight_decay=0.0, + lr=1e-4, + ), + camera_kwargs=dict( + hand_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), + fixed_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), + varied_camera=dict(image=True, depth=False, pointcloud=False, concatenate_images=False, resolution=(128, 128)), + ), + data_processing_kwargs=dict( + timestep_filtering_kwargs=dict( + action_space="cartesian_velocity", + robot_state_keys=[], + camera_extrinsics=[], + ), + image_transform_kwargs=dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=True, + ), + ), + data_loader_kwargs=dict( + recording_prefix="SVO", + batch_size=4, + prefetch_factor=1, + buffer_size=100, + num_workers=1, + data_filtering_kwargs=dict( + train_p=0.9, + remove_failures=True, + filter_func=None, + ), + traj_loading_kwargs=dict( + remove_skipped_steps=True, + num_samples_per_traj=20, + num_samples_per_traj_coeff=1.5, + read_cameras=True, + ), + ), + model_kwargs=dict( + representation_size=50, + embedding_dim=1, + num_encoder_hiddens=128, + num_residual_layers=3, + num_residual_hiddens=64, + num_camera_layers=1, + num_camera_hidden=200, + num_state_layers=1, + num_state_hidden=200, + num_policy_layers=2, + num_policy_hidden=200, + ), +) + +if __name__ == "__main__": + exp_launcher(variant, run_id=1, exp_id=0) diff --git a/scripts/training/sanity_check/state_obs.py b/scripts/training/sanity_check/state_obs.py new file mode 100644 index 0000000..72bcf61 --- /dev/null +++ b/scripts/training/sanity_check/state_obs.py @@ -0,0 +1,64 @@ +from droid.training.model_trainer import exp_launcher + +variant = dict( + exp_name="sanity_check_state_obs", + use_gpu=True, + seed=0, + training_kwargs=dict( + num_epochs=100, + grad_steps_per_epoch=1000, + weight_decay=0.0, + lr=1e-4, + ), + camera_kwargs=dict( + hand_camera=dict(image=False, depth=False, pointcloud=False, concatenate_images=False, resolution=(256, 256)), + fixed_camera=dict(image=False, depth=False, pointcloud=False, concatenate_images=False, resolution=(256, 256)), + varied_camera=dict(image=False, depth=False, pointcloud=False, concatenate_images=False, resolution=(256, 256)), + ), + data_processing_kwargs=dict( + timestep_filtering_kwargs=dict( + action_space="cartesian_velocity", + robot_state_keys=["cartesian_position", "gripper_position"], + camera_extrinsics=[], + ), + image_transform_kwargs=dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=True, + ), + ), + data_loader_kwargs=dict( + batch_size=4, + prefetch_factor=1, + buffer_size=200, + num_workers=2, + data_filtering_kwargs=dict( + train_p=0.9, + remove_failures=True, + filter_func=None, + ), + traj_loading_kwargs=dict( + remove_skipped_steps=True, + num_samples_per_traj=20, + num_samples_per_traj_coeff=1.5, + read_cameras=False, + ), + ), + model_kwargs=dict( + representation_size=50, + embedding_dim=1, + num_encoder_hiddens=128, + num_residual_layers=3, + num_residual_hiddens=64, + num_camera_layers=1, + num_camera_hidden=200, + num_state_layers=1, + num_state_hidden=200, + num_policy_layers=2, + num_policy_hidden=200, + ), +) + +if __name__ == "__main__": + exp_launcher(variant, run_id=1, exp_id=0) diff --git a/scripts/training/sweepable_train_policy [wip].py b/scripts/training/sweepable_train_policy [wip].py new file mode 100644 index 0000000..8da02e0 --- /dev/null +++ b/scripts/training/sweepable_train_policy [wip].py @@ -0,0 +1,83 @@ +from droid.training.model_trainer import exp_launcher + +# import rlkit.util.hyperparameter as hyp + +""" +THIS IS A WORK IN PROGRESS +""" + + +variant = dict( + exp_name="simple_bc", + use_gpu=True, + seed=0, + training_kwargs=dict( + grad_steps_per_epoch=10, + num_epochs=100, + weight_decay=0.0, + lr=1e-3, + ), + camera_kwargs=dict( + image=True, + depth=False, + pointcloud=False, + resolution_kwargs=dict( + hand_camera=(256, 256), + fixed_camera=(256, 256), + varied_camera=(256, 256), + ), + ), + data_processing_kwars=dict( + timestep_filtering_kwargs=dict( + # Eventually need to enable sweeper to take lists # + action_space="cartesian_delta", + robot_state_keys=["cartesian_pose", "gripper_position", "joint_positions", "joint_velocities"], + camera_extrinsics=["hand_camera", "varied_camera", "fixed_camera"], + image_views=["hand_camera", "varied_camera", "fixed_camera"], + depth_views=[], + pointcloud_views=[], + ), + image_transform_kwargs=dict(remove_alpha=True, to_tensor=True, augment=True), + ), + data_loader_kwargs=dict( + buffer_size=500, + batch_size=32, + num_workers=1, + train_p=0.9, + remove_failures=True, + filter_func=None, + traj_loading_kwargs=dict( + remove_skipped_steps=True, + num_samples_per_traj=100, + num_samples_per_traj_coeff=2, + ), + ), + model_kwargs=dict( + embedding_dim=1, + num_encoder_hiddens=128, + num_residual_layers=3, + num_residual_hiddens=64, + representation_size=100, + num_img_layers=4, + num_img_hidden=400, + num_state_layers=4, + num_state_hidden=400, + num_policy_layers=4, + num_policy_hidden=400, + ), +) + +if __name__ == "__main__": + exp_launcher(variant, run_id=1, exp_id=0) + + # search_space = { + # "seed": range(1), + # } + # sweeper = hyp.DeterministicHyperparameterSweeper( + # search_space, default_parameters=variant, + # ) + + # exp_id = 0 + # for variant in sweeper.iterate_hyperparameters(): + # exp_launcher(variant, run_id=1, exp_id=exp_id) + # exp_id += 1 diff --git a/scripts/training/train_policy.py b/scripts/training/train_policy.py new file mode 100644 index 0000000..13269e3 --- /dev/null +++ b/scripts/training/train_policy.py @@ -0,0 +1,76 @@ +import json + +from droid.training.model_trainer import exp_launcher + +task_label_filepath = "/home/sasha/DROID/scripts/labeling/task_label_filepath.json" +with open(task_label_filepath, "r") as jsonFile: + task_labels = json.load(jsonFile) + + +def filter_func(h5_metadata, put_in_only=False): + put_in = task_labels.get(h5_metadata["time"], not put_in_only) + return put_in == put_in_only + + +variant = dict( + exp_name="pen_cup_task", + use_gpu=True, + seed=0, + training_kwargs=dict( + num_epochs=100, + grad_steps_per_epoch=1000, + weight_decay=1e-4, + lr=1e-4, + ), + camera_kwargs=dict( + hand_camera=dict(image=True, concatenate_images=False, resolution=(128, 128), resize_func="cv2"), + varied_camera=dict(image=False, concatenate_images=False, resolution=(128, 128), resize_func="cv2"), + ), + data_processing_kwargs=dict( + timestep_filtering_kwargs=dict( + action_space="cartesian_velocity", + robot_state_keys=["cartesian_position", "gripper_position", "joint_positions"], + camera_extrinsics=[], + ), + image_transform_kwargs=dict( + remove_alpha=True, + bgr_to_rgb=True, + to_tensor=True, + augment=False, + ), + ), + data_loader_kwargs=dict( + recording_prefix="MP4", + batch_size=4, + prefetch_factor=1, + buffer_size=1000, + num_workers=4, + data_filtering_kwargs=dict( + train_p=0.9, + remove_failures=True, + filter_func=filter_func, + ), + traj_loading_kwargs=dict( + remove_skipped_steps=True, + num_samples_per_traj=50, + num_samples_per_traj_coeff=1.5, + read_cameras=True, + ), + ), + model_kwargs=dict( + representation_size=50, + embedding_dim=1, + num_encoder_hiddens=128, + num_residual_layers=3, + num_residual_hiddens=64, + num_camera_layers=1, + num_camera_hidden=200, + num_state_layers=1, + num_state_hidden=200, + num_policy_layers=3, + num_policy_hidden=300, + ), +) + +if __name__ == "__main__": + exp_launcher(variant, run_id=3, exp_id=0) diff --git a/scripts/visualizations/create_plots.py b/scripts/visualizations/create_plots.py new file mode 100644 index 0000000..b229ec5 --- /dev/null +++ b/scripts/visualizations/create_plots.py @@ -0,0 +1,106 @@ +import os + +import matplotlib.pyplot as plt + +from droid.plotting.analysis_func import * +from droid.plotting.misc import * +from droid.plotting.text import * + +# Gather Graphical Data # +data_path = None # "/Volumes/DROID_Drive/MyDrive/DROID: Weekly Lab Data/IPRL" +dir_path = os.path.dirname(os.path.realpath(__file__)) +data_directory = os.path.join(dir_path, "../../", "data") if data_path is None else data_path +PLOT_FOLDERPATH = os.path.join(dir_path, "../../", "plots") +if not os.path.exists(PLOT_FOLDERPATH): + os.makedirs(PLOT_FOLDERPATH) + +# Run Data Crawler # +data_crawler(data_directory, func_list=[analysis_func]) + +# Prepare Cumulative Values # +cumulative_dicts = [traj_progress_dict, scene_progress_dict] +for curr_dict in cumulative_dicts: + all_dict_keys = list(curr_dict.keys()) + for key in all_dict_keys: + curr_dict[key] = np.cumsum(curr_dict[key]) + curr_dict["DROID"] += curr_dict[key] + +# Make Figure # +fig = plt.figure() + +# Plot Trajectory Progress # +plt.xticks(all_month_timestamps, labels=all_month_names) +for key in traj_progress_dict: + lab_progress = traj_progress_dict[key] + plt.plot(DAY_TIMESTAMPS, lab_progress, label=key) + +plt.legend(loc="center left", bbox_to_anchor=(1, 0.5)) +plt.title("Trajectories Collected", fontweight="bold") +plt.savefig(PLOT_FOLDERPATH + "/trajectory_progress.png", bbox_inches="tight") + +# Plot Scene Progress # +plt.clf() +plt.xticks(all_month_timestamps, labels=all_month_names) +for key in scene_progress_dict: + lab_progress = scene_progress_dict[key] + plt.plot(DAY_TIMESTAMPS, lab_progress, label=key) + +plt.legend(loc="center left", bbox_to_anchor=(1, 0.5)) +plt.title("Scenes Collected", fontweight="bold") +plt.savefig(PLOT_FOLDERPATH + "/scene_progress.png", bbox_inches="tight") + +# Plot Week Summary # +plt.clf() +weekly_threshold = 150000 +lab_names = list(weekly_progress_dict.keys()) +lab_quantities = [weekly_progress_dict[key] for key in lab_names] +plt.bar(lab_names, lab_quantities) +plt.axhline(weekly_threshold, color="black", ls="dotted") +plt.title("Week Summary: Samples Collected", fontweight="bold") +plt.savefig(PLOT_FOLDERPATH + "/week_progress.png", bbox_inches="tight") + +# Plot User Progress # +plt.clf() +user_threshold = 500000 +user_names = list(user_progress_dict.keys()) +user_quantities = [user_progress_dict[key] for key in user_names] +tick_names = ["{0}K".format(100 * i) if i < 10 else "1M" for i in range(6)] +tick_values = [1e5 * i for i in range(len(tick_names))] +plt.xticks(tick_values, labels=tick_names) +plt.barh(user_names, user_quantities) +plt.axvline(user_threshold, color="blue", ls="dotted", label="Standard Requirement") +plt.axvline(user_threshold // 2, color="green", ls="dotted", label="Lab Lead Requirement") +plt.title("Per Person Progress", fontweight="bold") +plt.xlabel("Data Points Collected") +plt.legend(loc="center left", bbox_to_anchor=(1, 0.5)) +plt.savefig(PLOT_FOLDERPATH + "/personal_progress.png", bbox_inches="tight") + +# Plot Task Distribution # +plt.clf() +task_names = list(task_distribution_dict.keys()) +task_quantities = [task_distribution_dict[key] for key in task_names] +sections, texts = plt.pie(task_quantities) +plt.legend(sections, task_names, loc="center left", bbox_to_anchor=(1, 0.5)) +plt.title("Task Distribution", fontweight="bold") +plt.savefig(PLOT_FOLDERPATH + "/task_distribution.png", bbox_inches="tight") + +# Plot Trajectory Length Distribution # +plt.clf() +plt.hist(all_traj_lengths, bins=100) +plt.xlim([0, 1000]) +plt.title("Horizon Distribution", fontweight="bold") +plt.savefig(PLOT_FOLDERPATH + "/horizon_distribution.png", bbox_inches="tight") + +# Plot Camera Pose Distribution # +plt.clf() +ax_pos = fig.add_subplot(1, 2, 1, projection="3d") +ax_ang = fig.add_subplot(1, 2, 2, projection="3d") +pos_values, pos_density, ang_values, ang_density = estimate_pos_angle_density(all_camera_poses) +ax_pos.scatter(pos_values[0], pos_values[1], pos_values[2], c=pos_density, cmap="viridis", linewidth=0.5) +ax_ang.scatter(ang_values[0], ang_values[1], ang_values[2], c=ang_density, cmap="viridis", linewidth=0.5) +ax_pos.set_title("Camera Positions", fontweight="bold") +ax_ang.set_title("Camera Angles", fontweight="bold") +ax_pos.view_init(elev=20, azim=-23) +ax_ang.view_init(elev=14, azim=-143) +plt.savefig(PLOT_FOLDERPATH + "/camera_poses.png", bbox_inches="tight") +plt.show() diff --git a/scripts/visualizations/visualize_data.py b/scripts/visualizations/visualize_data.py new file mode 100644 index 0000000..ba657d4 --- /dev/null +++ b/scripts/visualizations/visualize_data.py @@ -0,0 +1,15 @@ +from torch.utils.data.datapipes.iter import Shuffler + +from droid.data_loading.dataset import TrajectoryDataset +from droid.data_loading.trajectory_sampler import * +from droid.trajectory_utils.misc import visualize_timestep + +all_folderpaths = collect_data_folderpaths() +traj_sampler = TrajectorySampler(all_folderpaths, recording_prefix="SVO") +traj_dataset = TrajectoryDataset(traj_sampler) +shuffled_dataset = Shuffler(traj_dataset, buffer_size=100) +data_iterator = iter(shuffled_dataset) + +while True: + timestep = next(data_iterator) + visualize_timestep(timestep, pause_time=500) diff --git a/scripts/visualizations/visualize_day.py b/scripts/visualizations/visualize_day.py new file mode 100644 index 0000000..79c39a3 --- /dev/null +++ b/scripts/visualizations/visualize_day.py @@ -0,0 +1,24 @@ +import random + +from droid.data_loading.trajectory_sampler import crawler +from droid.trajectory_utils.misc import visualize_trajectory + +logdir = "/home/sasha/DROID/data/success/2023-04-20" + +all_folderpaths = crawler(logdir) +random.shuffle(all_folderpaths) + +camera_kwargs = dict( + hand_camera=dict(image=True, resolution=(0, 0)), + varied_camera=dict(image=True, resolution=(0, 0)), +) + +for folderpath in all_folderpaths: + h5_filepath = folderpath + "/trajectory.h5" + recording_folderpath = folderpath + "/recordings/SVO" + try: + visualize_trajectory( + filepath=h5_filepath, recording_folderpath=recording_folderpath, camera_kwargs=camera_kwargs + ) + except: + pass diff --git a/scripts/visualizations/visualize_trajectory.py b/scripts/visualizations/visualize_trajectory.py new file mode 100644 index 0000000..7e2185b --- /dev/null +++ b/scripts/visualizations/visualize_trajectory.py @@ -0,0 +1,12 @@ +from droid.trajectory_utils.misc import visualize_trajectory + +trajectory_folderpath = "/home/sasha/DROID/data/success/2023-03-10/Fri_Mar_10_13:05:35_2023" + +camera_kwargs = dict( + hand_camera=dict(image=True, resolution=(0, 0)), + varied_camera=dict(image=True, resolution=(0, 0)), +) + +h5_filepath = trajectory_folderpath + "/trajectory.h5" +recording_folderpath = trajectory_folderpath + "/recordings/SVO" +visualize_trajectory(filepath=h5_filepath, recording_folderpath=recording_folderpath, camera_kwargs=camera_kwargs) diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..80dc3d5 --- /dev/null +++ b/setup.py @@ -0,0 +1,8 @@ +""" +setup.py +PEP 621 switches most of Packaging to `pyproject.toml` -- yet keep a "dummy" setup.py for external code that has not +yet upgraded. +""" +from setuptools import setup + +setup()