diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml new file mode 100644 index 0000000..79d2ca9 --- /dev/null +++ b/.github/workflows/build_and_test.yml @@ -0,0 +1,89 @@ +name: Build and Test + +on: + # Trigger the workflow on pushes to main and on version tags in the format X.Y.Z.* + # and on pull requests to main + push: + branches: [main] + tags: ["[0-9]+.[0-9]+.[0-9]+*"] + pull_request: + branches: [ main ] + types: [ opened, synchronize, reopened ] + +jobs: + build: + runs-on: ubuntu-latest + + if: | + github.event_name != 'pull_request' || + github.event.pull_request.head.repo.full_name == github.repository + + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install build tools + run: pip install build setuptools-scm + + - name: Build wheel + run: python -m build --wheel + + - name: Upload wheel + uses: actions/upload-artifact@v4 + with: + name: pypylon-contrib-wheel + path: dist/*.whl + + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install ".[dev]" + + - name: Run tests + run: | + pytest tests + + lint: + + runs-on: ubuntu-latest + strategy: + matrix: + python-version: [ "3.9", "3.10", "3.11", "3.12" ] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install ".[dev]" + + - name: Run pylint + run: | + pylint src --fail-under=10.0 + + - name: Run ruff + run: | + ruff check src --output-format=github + diff --git a/.gitignore b/.gitignore index ef6ddd2..e823ba3 100644 --- a/.gitignore +++ b/.gitignore @@ -15,7 +15,6 @@ env/ # Ignore editor/project-specific folders .idea/ -.vscode/ # Ignore system files .DS_Store @@ -43,6 +42,5 @@ dist/ *.key *.crt *.cfg -*.ini .env.local .env.*.local diff --git a/.vscode/README.md b/.vscode/README.md new file mode 100644 index 0000000..d32cf9d --- /dev/null +++ b/.vscode/README.md @@ -0,0 +1,25 @@ +# VS Code Configuration + +Minimal VS Code configuration for the pypylon-samples project. + +## Files + +- **`settings.json`** - Automatically remove trailing whitespace and Ruff formatting +- **`extensions.json`** - Only Python and Ruff extensions +- **`launch.json`** - Start pytest and Jupyter Notebook + +## Features + +- **Trailing whitespace** is automatically removed on save +- **Final newline** is automatically inserted at end of file +- **Ruff formatting** on save for Python files + +## Extensions + +- **ms-python.python** - Python support +- **charliermarsh.ruff** - Code formatting + +## Debug Configurations (F5) + +- **Python: pytest** - Run all tests +- **Python: Jupyter Notebook** - Start Jupyter Notebook server diff --git a/.vscode/extensions.json b/.vscode/extensions.json new file mode 100644 index 0000000..b7d5183 --- /dev/null +++ b/.vscode/extensions.json @@ -0,0 +1,6 @@ +{ + "recommendations": [ + "ms-python.python", + "charliermarsh.ruff" + ] +} diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..29cc6d4 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,27 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Python: pytest", + "type": "python", + "request": "launch", + "module": "pytest", + "args": [ + "tests/", + "-v" + ], + "console": "integratedTerminal" + }, + { + "name": "Python: Jupyter Notebook", + "type": "python", + "request": "launch", + "module": "jupyter", + "args": [ + "notebook", + "--no-browser" + ], + "console": "integratedTerminal" + } + ] +} diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..7dc2939 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,13 @@ +{ + // Automatically remove trailing whitespace on save + "files.trimTrailingWhitespace": true, + // Automatically insert final newline at end of file + "files.insertFinalNewline": true, + // Automatically format on save + "editor.formatOnSave": true, + // Python formatting with ruff + "[python]": { + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.formatOnSave": true + } +} diff --git a/notebooks/USB_hardware_trigger_and_chunks.ipynb b/notebooks/USB_hardware_trigger_and_chunks.ipynb deleted file mode 100644 index 133ea7c..0000000 --- a/notebooks/USB_hardware_trigger_and_chunks.ipynb +++ /dev/null @@ -1,549 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "internal-beijing", - "metadata": {}, - "outputs": [], - "source": [ - "import pypylon.pylon as py\n", - "import pypylon.genicam as geni\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import cv2\n", - "import time\n", - "import pandas as pd" - ] - }, - { - "cell_type": "markdown", - "id": "useful-robin", - "metadata": {}, - "source": [ - "# Hardware triggering Basler ace acA1920-155uc" - ] - }, - { - "attachments": { - "image-2.png": { - "image/png": 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" - } - }, - "cell_type": "markdown", - "id": "liberal-emission", - "metadata": {}, - "source": [ - "
\n", - "\n", - "
" - ] - }, - { - "cell_type": "markdown", - "id": "outside-witness", - "metadata": {}, - "source": [ - "The HW trigger unit is a simple RasperryPi generating 5Hz Signal on it's GPIO" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "crude-tsunami", - "metadata": {}, - "outputs": [], - "source": [ - "# open the camera\n", - "tlf = py.TlFactory.GetInstance()\n", - "cam = py.InstantCamera(tlf.CreateFirstDevice())\n", - "cam.Open()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "severe-celebrity", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "secret-crest", - "metadata": {}, - "source": [ - "# first quick check of our input signal\n", - "\n", - "* most Basler cameras have chunk feature ( image meta-data transport)\n", - "* one of the chunks is 'LineStatusAll' \n", - "* that samples all IO lines on FrameStart" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "champion-apache", - "metadata": {}, - "outputs": [], - "source": [ - "# sample the io state with max possible framerate and chunks" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "promotional-family", - "metadata": {}, - "outputs": [], - "source": [ - "# enable the chunk that\n", - "# samples all IO lines on every FrameStart\n", - "cam.ChunkModeActive = True\n", - "cam.ChunkSelector = \"LineStatusAll\"\n", - "cam.ChunkEnable = True" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "swedish-cover", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('Gain',\n", - " 'ExposureTime',\n", - " 'Timestamp',\n", - " 'LineStatusAll',\n", - " 'CounterValue',\n", - " 'SequencerSetActive',\n", - " 'PayloadCRC16')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cam.ChunkSelector.Symbolics" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "quick-fundamental", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000.0\n" - ] - } - ], - "source": [ - "# set max speed\n", - "cam.Height = cam.Height.Min\n", - "cam.Width = cam.Width.Min\n", - "cam.ExposureTime = cam.ExposureTime.Min\n", - "\n", - "# limit to 1khz\n", - "cam.AcquisitionFrameRateEnable = True\n", - "cam.AcquisitionFrameRate = 1000\n", - "\n", - "print( cam.ResultingFrameRate.Value)\n", - "cam.StartGrabbingMax(1000)\n", - "\n", - "io_res = []\n", - "while cam.IsGrabbing():\n", - " with cam.RetrieveResult(1000) as res:\n", - " time_stamp = res.TimeStamp\n", - " io_res.append((time_stamp, res.ChunkLineStatusAll.Value))\n", - " \n", - "cam.StopGrabbing()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "offensive-tiger", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[(12333104399664, 6),\n", - " (12333105399987, 6),\n", - " (12333106400283, 6),\n", - " (12333107400579, 6),\n", - " (12333108400902, 6),\n", - " (12333109401198, 6),\n", - " (12333110401521, 6),\n", - " (12333111401817, 6),\n", - " (12333112402113, 6),\n", - " (12333113402436, 6)]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# list of timestamp + io status\n", - "io_res[:10]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "moving-carter", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# simple logic analyzer :-)\n", - "\n", - "# convert to numpy array\n", - "io_array = np.array(io_res)\n", - "# extract first column timestamps\n", - "x_vals = io_array[:,0]\n", - "# start with first timestamp as '0'\n", - "x_vals -= x_vals[0]\n", - "\n", - "# extract second column io values\n", - "y_vals = io_array[:,1]\n", - "# for each bit plot the graph\n", - "for bit in range(8):\n", - " \n", - " logic_level = ((y_vals & (1<" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "frame_delta_s = np.diff(np.array(image_timestamps.grab_times))/1.e9\n", - "plt.plot(frame_delta_s, \".\")\n", - "plt.axhline(np.mean(frame_delta_s))" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "circular-gateway", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWoAAAENCAYAAAAmKS8BAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAAQMUlEQVR4nO3de5BkZX3G8e/DsspFUSKj8cIwxgvxUuUlUxqReEMMut5KscSoFRQzxgSjRhPXShkq0cT1mvBHTNwowahgGQNq3AqBilhqlaK7CMrVKKzKIiJeSqFUBH75o88ss2vvzhmYM/3O8P1UTc3p6dPdz3b3PnPm7XPOm6pCktSufSYdQJK0dxa1JDXOopakxlnUktQ4i1qSGmdRS1Lj9h3iTg855JCamZkZ4q4laU3atm3bdVU1Ne66QYp6ZmaGrVu3DnHXkrQmJfn2nq5z6EOSGmdRS1LjLGpJapxFLUmNs6glqXG9ijrJ65JcnOSiJKcn2W/oYJKkkUWLOsl9gT8DZqvq4cA64Lihg0mSRvoOfewL7J9kX+AA4OrhIkmSFlr0gJeq2pHkXcB3gJ8DZ1fV2buvl2QOmAOYnp5e7pxLNrNxy87l7Zs23OZ1JGnS+gx9HAw8B7g/cB/gwCQv2X29qtpcVbNVNTs1NfYoSEnSbdBn6OOpwJVV9YOq+hVwBnDEsLEkSfP6FPV3gN9NckCSAEcBlw4bS5I0b9GirqrzgI8D5wNf726zeeBckqROr7PnVdVJwEkDZ5EkjeGRiZLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxvWZ3PbwJBcs+PppkteuQDZJEj1meKmqy4FHAiRZB+wAzhw2liRp3lKHPo4CvlVV3x4ijCTp1y21qI8DTh8iiCRpvF6T2wIkuRPwbOBNe7h+DpgDmJ6eXpZwC81s3LJzefumDSt2W0matKVsUT8dOL+qvj/uyqraXFWzVTU7NTW1POkkSUsq6hfhsIckrbheRZ3kQOBo4Ixh40iSdtdrjLqqbgDuMXAWSdIYHpkoSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1Jjes7Fdfdk3w8yWVJLk3yuKGDSZJGek3FBZwMnFVVxya5E3DAgJkkSQssWtRJ7gY8ATgeoKpuBG4cNpYkaV6foY/7Az8A/i3JV5O8v5uVXJK0AvoMfewLPBp4dVWdl+RkYCPw5oUrJZkD5gCmp6eXJdzMxi3Lcj9D36ckDanPFvVVwFVVdV53+eOMinsXVbW5qmaranZqamo5M0rSHdqiRV1V1wDfTXJ496OjgEsGTSVJ2qnvXh+vBj7S7fFxBfCy4SJJkhbqVdRVdQEwO2wUSdI4HpkoSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1Jjes1w0uS7cDPgJuBm6rK2V4kaYX0nTMR4MlVdd1gSSRJYzn0IUmN61vUBZydZFuSuSEDSZJ21Xfo48iq2pHknsA5SS6rqs8tXKEr8DmA6enpZY65q5mNW3Yub9+0YdDH0urh+0JrVa8t6qra0X2/FjgTeMyYdTZX1WxVzU5NTS1vSkm6A1u0qJMcmOSu88vA04CLhg4mSRrpM/RxL+DMJPPrn1ZVZw2aSpK006JFXVVXAI9YgSySpDHcPU+SGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIa17uok6xL8tUknx4ykCRpV0vZon4NcOlQQSRJ4/Uq6iT3AzYA7x82jiRpd323qP8R+EvgluGiSJLGWXQW8iTPBK6tqm1JnrSX9eaAOYDp6enbHGhm45bbfFtJWov6bFE/Hnh2ku3AR4GnJPnw7itV1eaqmq2q2ampqWWOKUl3XIsWdVW9qaruV1UzwHHAZ6rqJYMnkyQB7kctSc1bdIx6oar6LPDZQZJIksZyi1qSGmdRS1LjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIat2hRJ9kvyZeTXJjk4iR/sxLBJEkjfabi+iXwlKq6Psl64AtJ/ruqvjRwNkkSPYq6qgq4vru4vvuqIUNJkm7Va4w6ybokFwDXAudU1XmDppIk7dRrFvKquhl4ZJK7A2cmeXhVXbRwnSRzwBzA9PT0cufco5mNW3Yub9+0YdD7Wa7H0u2z8HXQrXx/rl1L2uujqn4CnAscM+a6zVU1W1WzU1NTyxRPktRnr4+pbkuaJPsDRwOXDZxLktTpM/Rxb+CDSdYxKvaPVdWnh40lSZrXZ6+PrwGPWoEskqQxPDJRkhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGtdnzsRDk5yb5JIkFyd5zUoEkySN9Jkz8Sbg9VV1fpK7AtuSnFNVlwycTZJEjy3qqvpeVZ3fLf8MuBS479DBJEkjSxqjTjLDaKLb8wZJI0n6NX2GPgBIchfgP4HXVtVPx1w/B8wBTE9PL1vASZjZuGVij7d904YVfezV4va8Jj6/Wu16bVEnWc+opD9SVWeMW6eqNlfVbFXNTk1NLWdGSbpD67PXR4APAJdW1XuGjyRJWqjPFvXjgZcCT0lyQff1jIFzSZI6i45RV9UXgKxAFknSGB6ZKEmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuMsaklqnEUtSY3rM2fiKUmuTXLRSgSSJO2qzxb1qcAxA+eQJO3BokVdVZ8DfrQCWSRJYyw6uW1fSeaAOYDp6enluttmzWzcsnN5+6YNy3abhesstHD9Pd3PbcnUmuX6N+zpeRz6Nbi91sJruFxWy3OxEjmX7cPEqtpcVbNVNTs1NbVcdytJd3ju9SFJjbOoJalxfXbPOx34InB4kquSnDB8LEnSvEU/TKyqF61EEEnSeA59SFLjLGpJapxFLUmNs6glqXEWtSQ1zqKWpMZZ1JLUOItakhpnUUtS4yxqSWqcRS1JjbOoJalxFrUkNc6ilqTGWdSS1DiLWpIaZ1FLUuN6FXWSY5JcnuSbSTYOHUqSdKs+cyauA/4JeDrwUOBFSR46dDBJ0kifLerHAN+sqiuq6kbgo8Bzho0lSZqXqtr7CsmxwDFV9Yru8kuBx1bVibutNwfMdRcPBy5f/rhLdghw3aRDLMFqymvW4aymvKspK7Sd97Cqmhp3xaKzkPdVVZuBzct1f8shydaqmp10jr5WU16zDmc15V1NWWH15Z3XZ+hjB3Dogsv3634mSVoBfYr6K8CDktw/yZ2A44BPDRtLkjRv0aGPqropyYnA/wDrgFOq6uLBky2PpoZielhNec06nNWUdzVlhdWXF+jxYaIkabI8MlGSGmdRS1LjLGpJt1mSTDrDHYFFPUFJDk/yuCTru0P1m7eKcj4wyWySO086y2KSPCzJE5PcY9JZ+khyZHfgG1VVLZd1kmclec2kc9xey3bAi5YmyfOAv2e0T/oOYGuSU6vqp5NNNl6SB1fVN6rq5iTrqurmSWfakyTPZPTc/hC4JslJVfWNCccaK8nTgbcDVwDrk5xQVddMONZYSfYBDgDeN7qYA6vqX7qy3qeqbplwxF0keRrwFuAvJp3l9lqTW9TdltQDJp1jT5KsB14InFBVRwGfZHRQ0RuTHDTRcGN0xXdBktMA5st6wrHGSnIE8E7gD6vqycCPgSbP+JjkScDJwCuq6rnAjcDDJxhpr6rqlqq6Hvgg8AHgiCSvm79uouF2070PPgTMVdU5Se6W5LAkB0w6222x5oo6ydHAl4F3JHngpPPsxUHAg7rlM4FPA+uBP2jpT8kkBwInAq8FbkzyYWi7rIG3V9VXu+WTgN9odAjk+8Arq+rLSX4TeCxwYpL3JTm2pffBbm5itGHxQeAxSd6T5G0ZaaVTfgj8Crh3N6T0CeCfgVMbf27HauVJXRZJ9gceDRwPXAn8dYtlXVW/At4DPC/J73VbI18ALgCOnGS23VXVDcDLgdOANwD7LSzrSWbbg/OAM2DnePqdgcMY/WKkpXHgqrq0qs7tLp4AvLfbsv4icCyjEwi16JPANVX1v8BW4I+Bg2qkiS3rqroc2AD8A3Aho/fvM4GzgOcDB08u3dKtqaKuqp8DHwM+VFVvAG4A3pzkwZNNNtbngbOBlyZ5QlXdXFWnAfcBHjHZaLuqqqur6vqqug54JbD/fFkneXSS355swlt1z+P8OH+AnwA/qqofJHkx8NbuF3pTqurvquqt3fKpjH6xHLrXG03Oz4HDk/wRo5LeBEwneeVkY+2qqi5kVM6bqupfu6GbUxiV9PRk0y3NmvswsaquXLD8qiTvA/4qyZ8AzwVuqKpPTCjeTlX1iyQfAQp4U1d2vwTuBXxvouH2oqp+2P2HfGeSyxidVuDJE441VlXdBFyf5LtJ3gY8DTi++4XejCSpBYcIJ3k+o/fB1ZNLtWdVdXWS7wJvBv60qv4ryZOBb0442q+pqkuAS+Yvd8/tFA3/HxtnTR1CvnBvhCQHV9WPu+W3Mfoz6CDgGd2L14TuRFePZ7Sl+gvg5AXjq83qPkR6I3B0VX190nnG6cYh1wOXdt+Pqqr/m2yqPevG0V8C/Dnwwqq6aMKR9ijJocA9q2pbd7m5vT4W6t4LL2M0fPeCVXS+ImANFfXCN0qStzAa7/1E96HXy4F3A0e2+gJ146nNjPHtTZKDGQ0xvb6qvjbpPItJcjzwlVZf+3nd3kBHA9/qxlibt/tfA63qivqJjMbWL5t0nqVaE0W9W0m/g9H0YU/tzvx3d+BVwJbVUCqrRZL9quoXk87Rx2opE2lPVn1R71bS7wIeBjyrK+l9quqWJOu7PS0kadVZ9UU9L8m7gYcAz+5Kuumj5ySprzWxe16SaUYT6lrSktactbRFne6cA5a0pDVlzRS1JK1Va2LoQ5LWMotakhpnUUtS4yxqSWqcRS1Je5HklCTXJlmWc68kuTnJBd3Xp3rdxr0+JGnPkjwBuB7496q63TPwJLm+qu6ylNu4RS1Je1FVnwN+tPBnSR6Q5Kwk25J8fuhzslvUkrR0m4FXV9XvMDp16nuXcNv9kmxN8qUkz+1zgzU3cYAkDSnJXYAjgP9YMPXinbvrngf87Zib7aiq3++WD6uqHUl+C/hMkq9X1bf29pgWtSQtzT7AT6rqkbtfUVVn0M3ZuSdVtaP7fkWSzwKPAvZa1A59SNISdHNyXpnkBTA6z1CSXvOcJjm4m8mHJIcwmt1p0RmnLGpJ2oskpzOaGf7wJFclOQF4MXBCkguBi4Hn9Ly7hwBbu9udy2ji3UWL2t3zJKlxblFLUuMsaklqnEUtSY2zqCWpcRa1JDXOopakxlnUktQ4i1qSGvf/tz+PRF1JpiQAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.hist(frame_delta_s - np.mean(frame_delta_s) , bins=100)\n", - "plt.xticks(rotation=45)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "terminal-reflection", - "metadata": {}, - "outputs": [], - "source": [ - "cam.Close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "prescribed-composite", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.8.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/Ace2_USB_hdr_exposure_bracketing_using_sequencer.ipynb b/notebooks/basic-examples/Ace2_USB_hdr_exposure_bracketing_using_sequencer.ipynb similarity index 100% rename from notebooks/Ace2_USB_hdr_exposure_bracketing_using_sequencer.ipynb rename to notebooks/basic-examples/Ace2_USB_hdr_exposure_bracketing_using_sequencer.ipynb diff --git a/notebooks/basic-examples/USB_hardware_trigger_and_chunks.ipynb b/notebooks/basic-examples/USB_hardware_trigger_and_chunks.ipynb new file mode 100644 index 0000000..bf3e909 --- /dev/null +++ b/notebooks/basic-examples/USB_hardware_trigger_and_chunks.ipynb @@ -0,0 +1,544 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "internal-beijing", + "metadata": {}, + "outputs": [], + "source": [ + "import pypylon.pylon as py\n", + "import pypylon.genicam as geni\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import cv2\n", + "import time\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "useful-robin", + "metadata": {}, + "source": [ + "# Hardware triggering Basler ace acA1920-155uc" + ] + }, + { + "cell_type": "markdown", + "id": "liberal-emission", + "metadata": {}, + "source": [ + "
\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "outside-witness", + "metadata": {}, + "source": [ + "The HW trigger unit is a simple RasperryPi generating 5Hz Signal on it's GPIO" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "crude-tsunami", + "metadata": {}, + "outputs": [], + "source": [ + "# open the camera\n", + "tlf = py.TlFactory.GetInstance()\n", + "cam = py.InstantCamera(tlf.CreateFirstDevice())\n", + "cam.Open()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "severe-celebrity", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "secret-crest", + "metadata": {}, + "source": [ + "# first quick check of our input signal\n", + "\n", + "* most Basler cameras have chunk feature ( image meta-data transport)\n", + "* one of the chunks is 'LineStatusAll' \n", + "* that samples all IO lines on FrameStart" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "champion-apache", + "metadata": {}, + "outputs": [], + "source": [ + "# sample the io state with max possible framerate and chunks" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "promotional-family", + "metadata": {}, + "outputs": [], + "source": [ + "# enable the chunk that\n", + "# samples all IO lines on every FrameStart\n", + "cam.ChunkModeActive = True\n", + "cam.ChunkSelector = \"LineStatusAll\"\n", + "cam.ChunkEnable = True" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "swedish-cover", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('Gain',\n", + " 'ExposureTime',\n", + " 'Timestamp',\n", + " 'LineStatusAll',\n", + " 'CounterValue',\n", + " 'SequencerSetActive',\n", + " 'PayloadCRC16')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cam.ChunkSelector.Symbolics" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "quick-fundamental", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1000.0\n" + ] + } + ], + "source": [ + "# set max speed\n", + "cam.Height = cam.Height.Min\n", + "cam.Width = cam.Width.Min\n", + "cam.ExposureTime = cam.ExposureTime.Min\n", + "\n", + "# limit to 1khz\n", + "cam.AcquisitionFrameRateEnable = True\n", + "cam.AcquisitionFrameRate = 1000\n", + "\n", + "print( cam.ResultingFrameRate.Value)\n", + "cam.StartGrabbingMax(1000)\n", + "\n", + "io_res = []\n", + "while cam.IsGrabbing():\n", + " with cam.RetrieveResult(1000) as res:\n", + " time_stamp = res.TimeStamp\n", + " io_res.append((time_stamp, res.ChunkLineStatusAll.Value))\n", + " \n", + "cam.StopGrabbing()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "offensive-tiger", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(12333104399664, 6),\n", + " (12333105399987, 6),\n", + " (12333106400283, 6),\n", + " (12333107400579, 6),\n", + " (12333108400902, 6),\n", + " (12333109401198, 6),\n", + " (12333110401521, 6),\n", + " (12333111401817, 6),\n", + " (12333112402113, 6),\n", + " (12333113402436, 6)]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# list of timestamp + io status\n", + "io_res[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "moving-carter", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# simple logic analyzer :-)\n", + "\n", + "# convert to numpy array\n", + "io_array = np.array(io_res)\n", + "# extract first column timestamps\n", + "x_vals = io_array[:,0]\n", + "# start with first timestamp as '0'\n", + "x_vals -= x_vals[0]\n", + "\n", + "# extract second column io values\n", + "y_vals = io_array[:,1]\n", + "# for each bit plot the graph\n", + "for bit in range(8):\n", + " \n", + " logic_level = ((y_vals & (1<" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "frame_delta_s = np.diff(np.array(image_timestamps.grab_times))/1.e9\n", + "plt.plot(frame_delta_s, \".\")\n", + "plt.axhline(np.mean(frame_delta_s))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "circular-gateway", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(frame_delta_s - np.mean(frame_delta_s) , bins=100)\n", + "plt.xticks(rotation=45)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "terminal-reflection", + "metadata": {}, + "outputs": [], + "source": [ + "cam.Close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "prescribed-composite", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/USB_hdr_exposure_bracketing_using_sequencer.ipynb b/notebooks/basic-examples/USB_hdr_exposure_bracketing_using_sequencer.ipynb similarity index 100% rename from notebooks/USB_hdr_exposure_bracketing_using_sequencer.ipynb rename to notebooks/basic-examples/USB_hdr_exposure_bracketing_using_sequencer.ipynb diff --git a/notebooks/USB_linescan_performance_demo_opencv.ipynb b/notebooks/basic-examples/USB_linescan_performance_demo_opencv.ipynb similarity index 100% rename from notebooks/USB_linescan_performance_demo_opencv.ipynb rename to notebooks/basic-examples/USB_linescan_performance_demo_opencv.ipynb diff --git a/notebooks/deviceenumeration_and_configuration.ipynb b/notebooks/basic-examples/deviceenumeration_and_configuration.ipynb similarity index 100% rename from notebooks/deviceenumeration_and_configuration.ipynb rename to notebooks/basic-examples/deviceenumeration_and_configuration.ipynb diff --git a/notebooks/full_HDR_multiexposure_example.ipynb b/notebooks/basic-examples/full_HDR_multiexposure_example.ipynb similarity index 99% rename from notebooks/full_HDR_multiexposure_example.ipynb rename to notebooks/basic-examples/full_HDR_multiexposure_example.ipynb index a4cbaee..f6c26ac 100644 --- a/notebooks/full_HDR_multiexposure_example.ipynb +++ b/notebooks/basic-examples/full_HDR_multiexposure_example.ipynb @@ -2,42 +2,49 @@ "cells": [ { "cell_type": "code", + "execution_count": 1, "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2025-06-13T07:52:50.706782Z", "start_time": "2025-06-13T07:52:48.373734Z" - } + }, + "collapsed": true }, + "outputs": [], "source": [ "from pypylon import pylon as py\n", "from pathlib import Path\n", "import matplotlib.pyplot as plt" - ], - "outputs": [], - "execution_count": 1 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "## This notebook demonstrates how to configure a Basler camera for HDR imaging using the sequencer mode.", - "id": "c4bc9db23eaaddf8" + "id": "c4bc9db23eaaddf8", + "metadata": {}, + "source": [ + "## This notebook demonstrates how to configure a Basler camera for HDR imaging using the sequencer mode." + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "## Part 1: Configure the camera and capture images", - "id": "7441303f5b506f94" + "id": "7441303f5b506f94", + "metadata": {}, + "source": [ + "## Part 1: Configure the camera and capture images" + ] }, { + "cell_type": "code", + "execution_count": 2, + "id": "1f8fa67a30f9597c", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:50.715310Z", "start_time": "2025-06-13T07:52:50.712182Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# example Exposure times in microseconds\n", "exposure_times_us = [500, 5000, 50000, 500000]\n", @@ -45,36 +52,36 @@ "\n", "# ensure the destination folder exists\n", "Path(destination_folder).mkdir(parents=True, exist_ok=True)" - ], - "id": "1f8fa67a30f9597c", - "outputs": [], - "execution_count": 2 + ] }, { + "cell_type": "code", + "execution_count": 3, + "id": "320bca403ada8ce8", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:52.809479Z", "start_time": "2025-06-13T07:52:51.396824Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# use the Basler Pylon SDK to access the camera\n", "camera = py.InstantCamera(py.TlFactory.GetInstance().CreateFirstDevice())\n", "camera.Open()" - ], - "id": "320bca403ada8ce8", - "outputs": [], - "execution_count": 3 + ] }, { + "cell_type": "code", + "execution_count": 4, + "id": "328b1582a020458f", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:52.871559Z", "start_time": "2025-06-13T07:52:52.817504Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Setup the camera to use 12 Bit pixel format and linear image to avoid any gamma correction\n", "camera.PixelFormat.Value = \"Mono12\"\n", @@ -91,19 +98,19 @@ " print(f\"Camera does not support color processing, skipping color space configuration.{error}\")\n", " # The camera does not support color processing, so we can ignore this error\n", " pass" - ], - "id": "328b1582a020458f", - "outputs": [], - "execution_count": 4 + ] }, { + "cell_type": "code", + "execution_count": 5, + "id": "46d8983a7e12ae48", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:52.907504Z", "start_time": "2025-06-13T07:52:52.880556Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Configure the sequencer mode to set up the exposure times\n", "try:\n", @@ -131,19 +138,19 @@ " print(\"Camera does not support sequencer configuration mode.\")\n", " camera.Close()\n", " exit(1)" - ], - "id": "46d8983a7e12ae48", - "outputs": [], - "execution_count": 5 + ] }, { + "cell_type": "code", + "execution_count": 6, + "id": "e7b7b060f0a4dec2", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:53.088918Z", "start_time": "2025-06-13T07:52:52.919917Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "\n", "# use burst mode to grab all images with one (software) trigger\n", @@ -159,19 +166,30 @@ "# in sequencer mode the camera will report the lowest fps based on the settings,\n", "# use this value plus a margin to avoid timeout errors\n", "timeout_ms = int(1000 / camera.BslResultingTransferFrameRate.Value + 1000)\n" - ], - "id": "e7b7b060f0a4dec2", - "outputs": [], - "execution_count": 6 + ] }, { + "cell_type": "code", + "execution_count": 7, + "id": "bd1945fdcb2c3e29", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.265071Z", "start_time": "2025-06-13T07:52:53.095650Z" } }, - "cell_type": "code", + "outputs": [ + { + "data": { + "image/png": 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", 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 7 + ] }, { + "cell_type": "code", + "execution_count": 8, + "id": "545ede6c3e36bc72", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.284039Z", "start_time": "2025-06-13T07:52:57.279077Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# close the camera connection\n", "camera.Close()" - ], - "id": "545ede6c3e36bc72", - "outputs": [], - "execution_count": 8 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "## Part 2: Load the images and create an HDR image", - "id": "2bb2bf14d4a3d7e2" + "id": "2bb2bf14d4a3d7e2", + "metadata": {}, + "source": [ + "## Part 2: Load the images and create an HDR image" + ] }, { + "cell_type": "code", + "execution_count": 9, + "id": "eff51c9847296135", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.497735Z", "start_time": "2025-06-13T07:52:57.320111Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "import numpy as np\n", "import cv2\n", "import re\n", "from pathlib import Path" - ], - "id": "eff51c9847296135", - "outputs": [], - "execution_count": 9 + ] }, { + "cell_type": "code", + "execution_count": 10, + "id": "c0d50f254f624dd5", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.506756Z", "start_time": "2025-06-13T07:52:57.502727Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 1: Find all TIFF images in the 'raw_image' folder ---\n", "image_dir = Path(destination_folder)\n", @@ -268,19 +277,27 @@ "\n", "images = []\n", "exposures_us = []" - ], - "id": "c0d50f254f624dd5", - "outputs": [], - "execution_count": 10 + ] }, { + "cell_type": "code", + "execution_count": 11, + "id": "c71616bfa70b117b", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.704380Z", "start_time": "2025-06-13T07:52:57.516652Z" } }, - "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 4 images with exposure times: [500000, 50000, 5000, 500]\n" + ] + } + ], "source": [ "# --- Step 2: Load images and extract exposure times from filenames ---\n", "for path in image_paths:\n", @@ -299,44 +316,36 @@ " exposures_us.append(int(match.group(1)))\n", "\n", "print(f\"Loaded {len(images)} images with exposure times: {exposures_us}\")" - ], - "id": "c71616bfa70b117b", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded 4 images with exposure times: [500000, 50000, 5000, 500]\n" - ] - } - ], - "execution_count": 11 + ] }, { + "cell_type": "code", + "execution_count": 12, + "id": "d4e632af3205a88f", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:57.976849Z", "start_time": "2025-06-13T07:52:57.720543Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 3: Stack and normalize images to float32 in range [0, 1] ---\n", "ldr_stack = np.stack(images, axis=-1).astype(np.float32) / 4095.0\n", "exposure_times = np.array(exposures_us, dtype=np.float32) / 1e6 # µs to s" - ], - "id": "d4e632af3205a88f", - "outputs": [], - "execution_count": 12 + ] }, { + "cell_type": "code", + "execution_count": 13, + "id": "c8bf9e315bf857a6", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:58.271145Z", "start_time": "2025-06-13T07:52:57.980843Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 4: Define triangle weighting function to suppress over/underexposed pixels ---\n", "def weight_func(z):\n", @@ -344,19 +353,19 @@ "\n", "weights = weight_func(ldr_stack)\n", "weights[weights == 0] = 1e-4 # avoid divide-by-zero" - ], - "id": "c8bf9e315bf857a6", - "outputs": [], - "execution_count": 13 + ] }, { + "cell_type": "code", + "execution_count": 14, + "id": "13e4bfcc95243f22", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:58.818745Z", "start_time": "2025-06-13T07:52:58.281187Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "\n", "# --- Step 5: Compute HDR image as weighted radiance map ---\n", @@ -364,87 +373,84 @@ "hdr_denominator = np.sum(weights, axis=2)\n", "hdr_denominator[hdr_denominator == 0] = 1e-4 # prevent division by zero\n", "hdr_image = hdr_numerator / hdr_denominator" - ], - "id": "13e4bfcc95243f22", - "outputs": [], - "execution_count": 14 + ] }, { + "cell_type": "code", + "execution_count": 15, + "id": "9d50295cdb36539c", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:58.899465Z", "start_time": "2025-06-13T07:52:58.828629Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 6: Clean up invalid values (NaN, inf) ---\n", "hdr_image = np.nan_to_num(hdr_image, nan=0.0, posinf=1.0, neginf=0.0)" - ], - "id": "9d50295cdb36539c", - "outputs": [], - "execution_count": 15 + ] }, { + "cell_type": "code", + "execution_count": 16, + "id": "7647478022410a5e", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:52:59.085341Z", "start_time": "2025-06-13T07:52:58.909232Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 7: Convert grayscale HDR image to 3-channel format for OpenCV tonemap ---\n", "hdr_3ch = np.stack([hdr_image] * 3, axis=-1).astype(np.float32).copy()" - ], - "id": "7647478022410a5e", - "outputs": [], - "execution_count": 16 + ] }, { + "cell_type": "code", + "execution_count": 17, + "id": "12b19ec39d221e7e", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:53:00.069604Z", "start_time": "2025-06-13T07:52:59.095417Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 8: Tonemap using OpenCV (Reinhard operator) ---\n", "tonemap = cv2.createTonemapReinhard(gamma=1.0, intensity=0.0, light_adapt=1.0, color_adapt=0.0)\n", "ldr_tonemapped = tonemap.process(hdr_3ch)\n", "ldr_tonemapped = np.nan_to_num(ldr_tonemapped, nan=0.0, posinf=1.0, neginf=0.0)" - ], - "id": "12b19ec39d221e7e", - "outputs": [], - "execution_count": 17 + ] }, { + "cell_type": "code", + "execution_count": 18, + "id": "5367661a5f54ba8c", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:53:00.274789Z", "start_time": "2025-06-13T07:53:00.080875Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# --- Step 9: Scale to 8-bit image for saving or display ---\n", "ldr_8bit = (ldr_tonemapped * 255).clip(0, 255).astype(np.uint8)\n" - ], - "id": "5367661a5f54ba8c", - "outputs": [], - "execution_count": 18 + ] }, { + "cell_type": "code", + "execution_count": 19, + "id": "9282ace728cc7b01", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:53:00.302997Z", "start_time": "2025-06-13T07:53:00.292595Z" } }, - "cell_type": "code", - "source": "np.min(ldr_8bit)", - "id": "9282ace728cc7b01", "outputs": [ { "data": { @@ -457,38 +463,40 @@ "output_type": "execute_result" } ], - "execution_count": 19 + "source": [ + "np.min(ldr_8bit)" + ] }, { + "cell_type": "code", + "execution_count": 20, + "id": "19f05bd0241f814", "metadata": { "ExecuteTime": { "end_time": "2025-06-13T07:53:01.269298Z", "start_time": "2025-06-13T07:53:00.315182Z" } }, - "cell_type": "code", - "source": [ - "# --- Step 10: Display and save the result ---\n", - "cv2.imwrite((destination_folder / \"ldr_result.png\").absolute(), ldr_8bit)\n", - "\n", - "plt.imshow(ldr_8bit, cmap='gray', vmin=0, vmax=255)\n", - "plt.axis('off')\n", - "plt.show()" - ], - "id": "19f05bd0241f814", "outputs": [ { "data": { + "image/png": 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sPdQ8Tm3njrUXWbyPAhgnnwHQNe5KA5/CKOpzNi7RKNOF4xWg0StCnUIvl8spLfPgeuBXBPc6qKubimPmOCNxOawSL5I3ijvS0Srpe3FcHfRkc85I9aQqA/Pp8cezqAzR857zVor6jsoaGUf+79ZoM/5MfO+Cqy9N45yWkz0jTcuv+WX5tf9UAULPQC8Wi4PliIrskQ5p/pxH1GZOp3t5VuJmPHp9LaJRW+F0N6IKcI3kOdY3Zbx7YR9JZQDw9PQ0/YbyscPb73+us+HlNVGncA5N47mpeBfPjTIyhciMXeY8HaJVQ4T/cPwMhLjzRwbGTbVmCLYHDLKRsZKbuqx2qF4ers0ixc9GfBovMjRVZ+l4j8gaUaZXo8bU8czk0mcVcFkBlszb8YqcRrWeemXQtuyNhl3cqE+39vNI72q1OgAIGtelc2WJdEjf1OgAXkaR8+o5qFGnl5XlFFQFH6fgOzpyzuz/KeQ5lmeF7yiVAcCPHz9suHZUTJE7coaCjXkFSbv0FcBQ6TAsw36/n17t6za7LZfLiQ+OHJ2fn7fX19eDy0deXl7e1REbHgAF59SqDikL57rSciOs+qKhivGqOJWsrJW0Ln7P0Dln2NPTqlF19TFqSDMwE4X1HHJFhqwttc64z2XliPQ2A+eOT5Uy5+vKwd94WRC/mhsOO6p/HQxwmVi3tNxufwDzjJ5pvAzk9eqi+rtHmb5G7Vu17ZW8OHwOgOpRBPRGHfexDpvbs8prRMYyAOALbVi5e1Rp9IrBd8rWS+86SVSRCkQ4PZw0dhLDOPBlQAA/+/3+wKHr7+hue75UCCACwKLX2VT+rE4iXj3nkxksFy+LMzry7FFkBF3dZICjChrYiThdikYQWV+IRuhRXJW7B4IqIMnxHzGy4Im4bj28Ur7omcoR6ZFzatq/8dE9Pefn5225XHYBkzqDnpNqzV9NzbbgVPYU8vXaPwuvkPazqoMccWZOzznvHh9to5H4VfkyeSr1W7GlFRnm0PDrgPnjRgWRo9aKyJywhkWygBx6dg5dn3N6DWfnrXng9+vr6wGqh8NmcryZJ19CAgPx/Pw8zRwwEDiV41Qep3LEc/N3z1s7fuqtYjx6TinioXk5GpE/y0fzc+3n+lg2ImztcD3e5ePK03NADJAjg1utl0q8nh6rPrCMLGdvEKG/2f7xs4puOR2NQKKr82OBQpZXL63K+9EU1X8VuIyAjSz/HrjD/zn5n8KmK1X5Dc0AuNFV9BpVJecEdSTsjFfPkSv6xBE9dHI4WZc/84gMJPNWo+aMXGZQnGNDHuv1ul1eXrazs7N2d3fX7u/vp+nJxWLxbr+F41lxIo5GDIw6msxhRmUeyTMDAw4E9jqlA6+ZXE4G938EGGT5RSA4CstAtQOcPVCQpc/i8xR6DwCcGoA6Ix3pG8uI47v8nNMirl7frQ6w55jU5mUgLdMj1besb1R1I6IMDGR9N5NJ02b9iMvoyhrJ7+o4o0q83iAh4tnzL1V+zEt/R3FPDgA4Y63kqqJFBsUZi+ySGTyHY8TUPOK/vLwcOE/nlCNAwmHo/E7hnUL2gECkGIvFYtqIhN/46BKCniYYUZ5eR406IsuadWyVp2cMMnkzA6b17+q+B8BGOknEg+U5FWWOK5LFyRY52RFwEsnn9BzOksF3DzjM0YsovYKAqOwsJ2wMv9kT/Qz9kHnoEp6b8UNcV98ZIKqUvVe2Hnjo9SHlGZUtA3UVx195FrVnr99WnHOWX0ZRn68C6RH+6htH+IzQrGOAThGZnFN1x26y/xym+cC5Z7vr0TlXq5XNwxnJCAzoKCACMPt9fjueKx+PluDwmTffUIZNhjwbwDcORp066zzO2evvKH6WJgMCkRy9vLI8I2OWEXculy6TMTIiGY/IALuyZCAlarOIj6Zz7eFkdeV3Mkcv0znGMDoQmFHkMJztYNCyWCymzb6LxeKgT3Ffhizc9/jV3jpLwGXIwGxmB6P2y+JHz5R6ACFLn4EAfu7sJX8yGgUM2TOXZ8YDbeb6nrat8wWZHBkpyKvwOBYcDL0LIHIwPErOUCY/V5TM//VWK+WBUQb4oyOi42JGAB2W40by4Lc6YHRuPjvsFCozPJFBhkx8gVDPueLOAR6R6MzAR1DkjLgsvWfO0czJr/esSlF7VAFcZiAqaSJD2RtJVdshAyPR70oY+Dqnr85/rmECf6XMKelvHRg4R4RnvM+GbQBvzsV/nQngfqhycBtr/q5skQ46vdH/PUCn/Jz9culHgIH7neVbJVePI/zn6mEGBkbkquYFGgFzGZ8eDQMApuzWuhH0qGHcARV4YPoOcVar1dQBcQ8B3vbFnRP5ZC/dcG/n029nPJAPGwzNT40Rh4EfDJG+tMTJizQKAHTToKMRJ1dNmzl3BY3aYSrOvOI4K2mzeBymnTEqVzVelE7LokBVKQLNytuNSJx82jbVckL3skuz5lLVgPd0IJK9tcOpfiaER+Vl5692inn0nLgrVyRnzxnMBVtR3TkgkQGOKCySNRoQVYB9r4xZXR3roJnm2M85IGFuX6rKN/w2wMhARRWtjZ0pdk94loGv3726unoX/vLy0h4fH9/t5I8cT0/5IqXl51En0VkFlpU3Vy4WiwNHHtUB1yUME/jxMoGeUsjQsTqWqB565OI4QxPpz0jeczt05pBd3ExP9BIllw+XP+oPmYHjuC5Nr3ygbIShz1046znW0BkIzHVEc9NwOtdGWl9cHv70ru9VniAFBBiERM4xkjerg1M4rYxHpc16eqYDG5dG7WOlPio0WrbMoWqbZwAusxmnolMClojKAIDfpqUd3pFrbN6419sT0Np7xwFjA3kw9b9er9t6vZ464H7/c73827dv7fv37++cmzPqPRTMcdlwIC5mJvRZVDcRkMo2+XHe0WwAyq4zAjor4OqgSmosHUUjl57hc7yrDtq1YaVcDhRmMnGe+n/EiKPdslGT6wMfQW692/UR3uTn1vv/TOcPqhhiV88AzdFxSHVsLg6DAHcFeNS23P/dCDvK7xQ0yrfSj7Rco3n30lRsQZZ+pMyOfwQGskGNk+MY+gh9KAOAh4eHtl6vpyszIyfnjL6Gc7oMjfG6Go82EPby8jJN+5+fn7cvX76033//va1Wq/b09NTW6/XBqAX59UZbOo2P76jDZs7DPWfHju+Xl5f28PAwLV/wCYTMQbi8+AQBvhkIoP4qDlnLlcWPAIX+rnbgaoc6xqhUQUqU5xxjpIAjcgIVw+X4aXhFRmfgmIdb6z/G+R8Tt5K2Um7mE/U1UG90y7MAiJ/12174aP042xPpd6bzUZo5cvXSZPbkGIfPeWZ2KCNnq93/ObxHSP1XRNXBjtLQuwC22227uLhoV1dX7zbq9ainWPivjpanyHn0//r62l5eXtr5+XnbbrettZ9O9I8//mgXFxft4uLiYHdvryOoIeuhfn0WKQU+Ly8vE2DBMz2LzM6Zj1RFewIywwEe0Q2DPCvAVFHuzNFXnI6Tuzq9lulMbyRVqT+NX6UoD6Zs1FBxchUH0uOdzZY4Huzo9Yhf1Tidkqp5OQeS9VcH7JwjiuxBNHviluDYxjm+Tv8igKdhWZlcWFafVXs9kr6qL1k/7aWvgJ4/g0bzHAWtSnNAwNAegN1uN70U6ObmJrxIQ9PhOQvonEWk0HxeVxEYbsxjB/nw8DDd1R8tNURKgnLyf47PoCRKj/+4h+Dp6altNpu23W4neVXB+c4C7fg6qshucMuMFEAF7xEAkIqQrVIWZw5Sr/LpGaqo3JVOFcV1RtfJV3EUcxG68ojkHiF1hFn6bJf/sYb1FHUSEdpBR2/Vsqud4rCIeLDiALuOKp0zzvRPy8JpRhyDgg8t22g/dvrv4jhZKjSSppfPSN5ajlPZt2p+x/Cp8hq6BwBMcVUtXqLR2vypIYe0+bn+hgNkmQAOeCf+fr+fpsK5QvhcveYRGYuos2pZ+Pvs7KytVqu22Wza09PTBAJ4NI/8lstlu76+brvdrm232+mNisvlsq3X64OXlbDR1d3KTnYlXh4ACFgulxMQ0NeWKmUONWq7ijIeY4Cqnb068ohGh1H8uWFVWVQPK7MsVXmjPohPdr7/WOd97Egwox6IHOEV6aby4z6tzl7/Ky+t+0iOqFwVkMJtqqBDdWsu9eSY089HnH8VrCm5NplDPT+heVRmUNTu98DeCM2+COj5+XnaeIcwXRbQzuIqOSqU6xDuO+PL9wW42YWMd2v+KmAuSwZgcDzx4eGhPT4+Ts4/2iC0XC7by8vLwSzBy8tLe35+DoEAgxsuY0X5eUZANww+Pz8fXDDkaMQB6UimGh+U6ZSLP0fWyihmlKfGb23ehrVTj5Sd7NovPvJ8/ynLAn5zAOup82d7xO0dOX/+nQEzkPuf6azj2TutkYEM9z/qk1naLJ9jqDqIRFztk1k7zZU1a9uMTgWyezTrKmA4J54qd7vWneOMEJE6czY4qmA6QmFixwbeLDvn6Z67TuzkdkYaaSDD09NTe3h4aJvN5t3yhfKOjpPt9/u23W6nDX2r1WoCAroxkuVwxO3H5cGsAEDI+fn51L5uecAp55xRfq8jOCM4d5Sinb1nqLSueiMkBwI5vcuD40T5Z2H6HYHSTE6n587xVzbuVuijDdo/itR2OcfcczDONjCPCtCNfiuIq7ZDRX85PNKtLC3Hj/734v5ZNAoE5sj2Z5Zn1hKAu3WOlZWPsSnqVIrOULsREHcUnnlAvmdnZwfOkeVyIIOf43eEvLIO3VqbptAxUsfoX6f9e0ZeDQI+OHe93W6nu8vhuBUUcb1WZgX4GQAGlgVWq9W0gTFbchilCgruAZlRfpW8IkOm8jgn62SI6l0db/TMyRbJzr+dXA60chzd4a+j/lPRXAAXpcva/dSjzIx3BiARprZsTj5RmObN3zww4jaFHO4WQy3TCLEeVnhoeUbbdI5O9dJFMh2rUxW7VwVOc/gzDV8EBIGgNPiPOIyCOa2i42pHdsqKcDZUHJc/mm+l07ryRjKyPAw+tttte3x8tBsXdRQG0ORmCVDPOOoIoMFlhKFerVZttVrZvQ8Z6FG5UBbwABhA3pgVUB7OaWaU1WsvXTZqdhSNriJD5065VEYd1c5aBWT4P1qnVSCCZx855c80Yqjn6sefRZU2yfSEbSjI9aERMMg2gWf2YBvwwaZj9Ofn5+fpFlWcVppztXgE1EbafNQWRPxH+hgoyvsfoX898J3ZsKq8s/cA7Pf7d+vEEICNp9tRDx46alXheQQM/nrkhmcDOL3ulM9GbD1noiDEPVOggdG/lgF1AmLDi3hRoz8/P0/54QgfLj/a7XZts9m01WoVbhyMRn9ulMJlWyzeXlTEGwZ1eaDnjDmfzEFpPGdUeobVGaAIYLo66cnUK+fIs2q+Ls6c+tH/2ZT/sY7/VMBhlM+oIxnlO5e/tlsPiEbpXTi3HZw/HP7FxcX0yvH1et0uLi7aarWagP12u23b7fbgxBI2JOv15KCo/D07GjntCuAZnZmIfEyP1MdU8oj4jDrmrL+fqj+BZgGA1t72AWA6Wp00n2dHeAQC+D/iKkDQ5QY1wmoEI6PqHDl/uw6ur+TVWQedBcClPnpEUQn5orNCLi67yslOHYCAy/P6+tru7+8np62AQOu4h9Y5PpYh2Lhg02C0PBDxzQyoMyA9h5/FjUABl8+ly5yvA5JZmiiPKMw9qwCDTE7lAz3KRv7H0siI38lYjavl/MgR2ynBRaUfuFkBjadLNtxPo1c0LxY/Zw0xiDg/P2/r9frg+dnZ2bsZAb1IrFIfc/Ups029dBUQ3LMJGp49c6A5skX/LDS8BMCOUG+Va60djGb1WbXx2AFGL+zgb/3NHUdnBzg+X28M2ZW/Gw2zU+eywYk/Pj5OG/d4lsKhfnSyTLnQgZEPThjoq4DxHLzQWbfb7buTBFymHsrV+gcQwIwA9glUTg84vnM7RKZXGqZti98jBlifOT0cMXRznaOTsWrIuJ+qw//INf9IxizNiL34R9ExBr0yuqwCPW63rD8oEGA74QZVap/4YjHQR72B9FTEZcnqMgORFYB5TH+u2N9T98vWZswA8KiYb7ZrrVljoiNgRY2u0irTTO68OhSU+WUvamEQgIuDInmxC99dAoQwIOnHx8f2/Pycjv7BG7JiKk6VdLFYtIuLi7bf76f7AS4vL6cpOgZI6syxKbK1Njlo3E9wcXFhDb6bOYlGu0gPGbBMgI2KxxrmEePqkLYzilmbZO3UAwFz6JgOPZrWjfrV6X+EgTkVnQIsfQSdAnyMgO/KqBb/K2m1L/DgIRr88O9/RnIj8MogwVEFpIFXlV+FjumTI+0yfAyQmcPZXVxcTBvG4AQj1M+OIkKeKASPsDRvN0qHTA5g6OjbIWGn3Dyb4f6DDz53d3fvdv5rGVhePrKoMwaQDSNsBiM6k6D1x79R5+AN8MCzAs5RRuRAAs8KtNamGyM1nTMcmZJnBo/rHjLwlCc2O2EjFMqOa611fTMrqwJXlqM3k8DlYEeW1UMGOJSXOkcNV8CmQJ3r86NohPeosf5ndkanol75FeAp0GMebOOyl49lcsyt88ghR4OMLMzx6eUZxXcgaA5l8pwKLGZlGO3Ds44B4vd+v2+Pj49tsVi06+vryVG1djgqbu39lCl+w/lFjhiEkSb/V15ueor/u82JTM6YojxIow6d+Wy327bZbKaRepUAiJgvl5nlXywWBzf2qYHX8vBz/Y+NfIvFYnrRk84KKJBDm7qXp6hT1ncNjICMiMAfoIXXN/mehPPz83ZxcdGur6+nDU8XFxdts9m0zWYzvXgJYADthlkt1kPXLg50jRijXvzIQFZGN87g6xE/HWF8lPP/SFDxj6KesxolZ3d68fU/t6Xb0Kn7PLQc+O9myCLHm5U9A3HRM+1jFZ4ROUBUoerAZ3QgE6WZQ5GuzOlrZQAQGe3dbtfu7+/b09OTRVo9Q6OjEXb+7ND4Nxt+NYzMH2l0WcA5Nx51K1jRNJoeTvTl5eVg9K8UjdR406TK2Nrb7n/IiIt6FIxo2mj/g9YP3vHw9PR0sGnQOTytMw5zZXX1pxS1R6TQkI3bFyN/NXoY/eM/gOr5+Xn7/v37wRXSeLEUA4D9/u2aaZUxKmtULq23CGRpPbpnGUDQuuuN/D+K5vCea9gi43oqoxvx/KiZB9femS6o/YtsXmvvrxDPRr+R7XaDilGn7+Kesj6dH6rK0lq/bR1v9z/K81RljWYCKzTrHoDMCWaoyBlNfpalVdSaVbo6QLf7NTKQCjR0tOTy2e/3085/PvqXETtzTMW58gNY8CkBvDLYdVadJal0Ko6H88DYEYxdwSp7VKZM8XsOPtIVJyu3sQI3zJrgauWrq6uDmQI4dW4/vbiKDTxmaNDO2b4SLmdvdNSrxwhYZPG17rLNfh9NcwzTHCOGdCPh/8zkHAjC+duFR0DP8eclu6yeeBPgqWc/Rknz5L5UsStZmCNXbn5WtWGnmCWq0Gg+szcB4vccNNybZgHPqNJ5lsDxVSedTS31QISL5/5XOhKXTw12tpMWRw+RTk8AOHmUos7qQAccJADNxcXFtJmQ47gOkJX/VE7H5an5oj4x+scyADZnov54epQ/vPTCoGCxWEwALCuXGqZKOTQ80uEIKDtd/jN2+UfyR/+P4fXPQB/h9LIBShQfcvDAxbW10wuXHzs7B9bdgIJ59WYoqm1ZKXsU1htEHOtIs36fAbc5OtMDENGgfISGAUB19JIhNf7vnD0DCsRza84qgxsxKS/NP3JivbBeZUedQXmxc8muVuYwAAAm7YgOzDhF7IVhTRxr6KrkbgaiouxOjyKdcWXiMrvwy8vLyVlvt9t2eXk5XdEMflyPaIfW2sHsQK+TO/lH9KRKIzzVCfzZO/3nGqNjeM01sv8stFgsplm3q6urg5kqntVSJ+36ugI9niVr7Q0wu5G90xMHsHtOX+Px/8gm9vhUBhfOv3yk7qudmNP/q4MmHQREPmqkHxw1A+D+g9RhZ6PwjE8vTgUEVEELxzkGsVWMFuJEG3KY32LxdvMfr0fz1LQuXeBb2wDhmeN1o+ntdtsdTUIut0ExImcgsnhaJg1HvVxcXLS///3vrbXW7u/v2/fv39tvv/12AKJQVrcTWvXWAdVMXlf+yEhFIKLSoV3+bPD+Ecf8jsmnqg//r9HZ2Vm7vLxsv//+e/vrX/86nVpB2/O9K9j/w0ex3akqHRTgOV/exfxArC9O3x0Ix+8IwPd0sAIoqkBwJD5TdeDSswGR047yGnXaytPZ9Sq/2RcBgZyhcrMAmWHrGTpNx/L0kKPyyP67xnJyc74uXi8/RuaLxeFOf8dP4+gdC9rROY+5oyKu3/1+P936h3zdDmMHZhxKPQU5w8OjGlzGtN//3DNxf3/f/va3v7Xlctn++3//73bJhUdEx8jVC+uNFlSX9H8lfza4f6bzb+20MwDHyvHPRJmNw34gXNeLy74UfEaAm/sr/vM32w/s8+GZRwYTPDjhU1qwQ/gecTxz9dDZjyqPKE+1w0pZWaoDmpFyZoM/jqM6EMk5YsNONgPghIsq0Bm0KvoakU3TZMjJ8Yg6rFNCB27UiGejtWgTIMdxDm+/3x/cFKhlchcFKY8e8bE+zpPz2+/3B5cORTSKdrksWXqt391uN51o4Kl9jst1w9c2O5A6R26VPXo2OtrpGUGnL47nRznIY5z/XPDwZzv7OfllaRaLxcFJFoRxOp3GRx/UAQHSIs5+vz9YMtQBB9KxDeKZAaTHTAPPOHC4zkJEdwu4vlQdyFV0ww22qgAkcqZROSqyZe2eDXpd/myjeMBSAWGOZgEA14DRqIbDeuGZA9R0Gh4ZDnQsXTNX/uooXTwtf0VZFRBpGu7wXC6OxxvQXGdlA1CVbcSxsbPHBrmXl5cDg8RLEz06xkGoY1NwwHcl/P777+0vf/nLJPPDw0P7+9//fjCTwZspedmKR16Zg+4B2Ui3s/L1gGz02+lPDyh8hOOc68RbO82U/58NBqqUtS1ANu6xaO1wEKVglL8Rt7XDi8r48i8+2YLlBWwuZn1XO8k2RZf4XL/Bi8J09oFBAsJ1fwMPMDgPrrOew9T6qTr9YwYlo1TNyzn+aHk1s0EZDd0DoEaPO3rk5FuLz6Orka2OvCID6MIU/bq83f8e7x5Y4G/tgHjmdpyzLJre3f3PZ9/1KBvfL+DK1huRIN16vT7Yd8D547erhwgMRjJkCDpC9O436vr+/n6qn7Ozswm0RLMtfCyqtcPLrJycUbkdjRiMY5yn9o0KEDgFVYFnj8ex+ffC/iwaLQvaio8uO+etBCeONBrGzi0ahGg9OdvLN31qv+CBAcvOwEDBAucTgQO2i/jPLx5ze3e0b2cnXzJ9HQHsFZChaSoDMHX6nJ/K/uEAoDV/r77boe4K6IRV5MVG2DmtnsPqxVNjqM7UOSfnwNQ56++ojJGRykbPnJ+CBazRcSdjAKD1EvHXsiut1+u22Wym/wAjkZxaBxo2Ut+Oj2s3rmNcFLTZbNrd3d0UjtMMOsLAt0PXPLuiMv+z0qhBOgWdol6OARB/VrtU7VE2aNF4aK/z8/Ppdb2aj3PqvB7vbGVkp5jYIeseI96DwP2FnZ46Wx2EKFgGWOA60mcuHLLjGG9r7eA3QANvkNRrvlFvuLOGLztTefRb25NlG9FZx8fxVOfP7YH/2h6RrBnNvghIySE7pchJ6ug4mrLv8XPP51C1Ah1I0Xyd49DOqbt3HS/uUDxaYAelo9eoTKOGi/cYYHoS1x2rYlZozii5B8j0cpv9ft8+f/7cbm9vD9rp/v6+LZfLyXgwAGOnj/8ouyvjP3KE6cjNAPD3n5H/n5HHP0udn0oWtNtqtWpXV1fTnRVweLiPAzqp71o5O3u7Ghv7b3gw0Dudgzis6xhcuPe6IA5eIQy5OE1r71+Shv4UOS0FFhwHsuPFaPzbOUz8dh+cCloul+3m5iYdPFbs5lzg6nizrXIbw3u2c1QfhwBANOJV4VkgFdIhFDeLwGk4D5VJfztkOhetKd/suZJO27GSs0x8Nl3zcQ4ncnZcrzr9f4yRgsFB/lj//yjqgYDoo3W72+3a5eVlu7q6avv9fjKu//t//+/pOZYEwJtHVaDX19d3YMqNqHp6gjguvuNVcS7RyC4zFD1yAH007UcBgbnyfBSN8I/AK39vt9v2t7/9rW02m2mprbWfb//88uXLpIdYYwcwwO79l5eXdnl5eTAzCIDb2ptNwh4YjJZ5rwBfja1OGr/ZHmA07ab7+TfisKOGjdL+xqR1xrZH+z3bPTzH9d5sMzGI2W637fr62va16oCJ46hN7tmCyrPIN5yKjnoZkIZxg7hwblwFEKpcnM/cjq8oUp9noGBOvuqAMoMIR65hQMyZbA4Y6AY2RY9VJXaE6f/9fn/wCmjXcSKn9BGkoyA1WujofJyJZ00wWsG321Wb7V9xOp5RBO5ce7pwLreLo7o+CgS0X8wd2ZyKstHOP8sswCkI+nt2djYdWWVdvL+/b6216ZSA6h2c//Pzc3t6ejp4lwduwmR9QV7r9frgDgD0AV7D5xkFHumDF/5DdsjJrzfnDYl4rwlO6YDY7ulFXAokFGQgXGehMTvR63duoOZ+u7BeX2W+I88UBFT64ihoaW3Gy4Aq8XqjuF6YQ52ZE3dxXQX0jK4b/ahDcw7PUcUJouPwWhbXX1Qv+ls7SHQeP6qTrHyttclJOmDRk61HGdCJ4ruRCcqNNwG29rN+8VrixWIxve0QRuH8/PzdGwAz3VOdyBD/RzqpXl05w6bPjx3xfASN2o3/m6giP95mCeesm1LBA9Pv2+12mgZHmtZ+th/uwFCHiufQf9iO5XLZXl9f23q9noAG8kS/B1gAuGDggFE2BglqU5hna22yeyg3T93z7KkONiAPx2OwyrMXAC+Iz0shPadboarzZxkqpH3R+dSs/7r/EQ0fA8wyOaaT6llzJa5A51wzZ5nJVonnnAJIZXXON3NwUNrREVfmgKqjVie/xm+tvVsf1HboUdVh6W+nXzpK5xEBOvhyuWyXl5ettcOXVGGEs1qt2na7bcvl8mAUpIYL364DRoCxV+4IuGaAMQImo6OCkWeRvD36CEf9f7vzb833Vya1b4jP9oRH6HDCcOTa93m0zn1Wp+rRbzDLh1E8A4/M3vJsAK/5Qy7kj937y+VyOur4+vravn///m5mgcuD/1gqZUCC/KP+4PqyDpZce3AcbUP9P2Kvq8RyMniJQMQxgH0WAFDje6xxcA7FKVsVaVXzdTKMpotkqDhJTE2r83cOx+Xh8nE7bCPZHE+XBiOOLP+IV68MI89VJ1QGlB1vM8SrfXEE8PX1tX3+/Lnd399PvLbb7YEx0Z22c+prTpmro98K6O3Jcwp5T0VR/f6/4PSVsj7Z2tsgSGfb2AFwffERYFeP4MsOle/AwMjbrc2zzHoEGCN3ToslANgJ9RGg5XI5fcBL+xzzQJzVatVWq9W01AHAgTwAiCATAxKWnTf8Olupv/lTJQX17nmWNvpf8SmjYGBoCUCdfW9qQpEXhznizRs80sv4RbJm/3vhIzz0WSQzP+eO6UbrWsdRvcNhsXPm/QOZ4xpBkuiUvAYZbTAcBWAjIJLLzKMfGE7+4DjV+fl5u729nUAARlKYttQNqHoipacH1VF4NNrIjDcbEvfNvLJ+mMmY6WqUp6N/Foet5TlmdHRK6tlJHslChzU9DxbgwPCb9wZwP8GomzcCuiPC6nh1HxJP0/NFRYi3XC7by8vLNOPGZeSywm7wK81ba+9OG+iSwPPz84GTZ5n4fgK1fTpA4D0OlX5boZFBcJbHMcB9rp4PnQLooZNIyaNnrCiKmqJNbNqpXSdXo4gpM0xvRfEi+UbjZsQgRp2po8jBMjKP6mPEAGbpYGBgJHoj4iwsi5M5GnX4MHJ6ERLXJaYbYaBa+znixz3rMCpsuFgXNe+5FNWByyeqF/eN35H+VwyKa3OVz7VJ5tCiOJEM1bg9HtXwY2kO356hZyAYAUSAcHZ0vGGvtbdb/pQYLPCAAfq/379d5Y18wZ/lwOgbfRG8+Zgf0vJInOVDesxG8KyE3jegdcRxee8U0ui+AKTj2QveH4F07hM967VvBWy7/xm5uKfQ76ElgN7ohytcRw8ch8+CqrHiuG5XdqUSFbm21sL13Uo5jyFXR+rwXIevyKN1pscDOa0DEtoJHLjCMxiOqBNkMmdOzvHBR0f1GoYy83N8MB25XC7b4+PjNPWHcJ454elI3jkcOdLIgUd1l5W1Wi+9OnNhVQDgdNKVUX9ncmf5RyCan42Aakcf4fw/ClBwn0e5AWThMHktX2cCeCDB93MwP4ShD/OOez0yDCeOY7I6Vc79EGE89Y7nrb0ty/GJG15yg3w6ikc+epqKjzeqb4CMbmYU5Xl6eppehMSAxwG0zOH3aFR//2wQCxpeAtAw/s0KwaTTWWgkVTzEjdAUI8msclkJnZHrlbNCbsSU8XLOFR1Qp78cCIjI8ey1VWRs9dvl03P+vd+9dsOGH+zmx4dHHQwG8M3riuv1+mBEwTNA2PS32WwO6hlxMGWqmx1d3UbALqqbP5sygBEBcH3Ov13Zo76ajYiyumL+6rwc74gqAGiURnn26ovjtfa2JwiDFnzzMTAF4rBxeimPgga2r/iGk8RxPAYGrb3NJvAHN2lCLswggCfnzelAesQvuuyGNx4DmDv7xP+5jiPQwvXpXmgW/T6GXHoHOCrpTk2zbgLEfzYKaDS3voLKdrc0Zflow7bWHz1AHm5sR9lIo2LMnYPNGizr+M5Y9gAGwniDjpsBcLJldRjl7ZxAJJMLr8i2WCza1dVVu7y8nPQFxkmNCztkrgvu+IvFYgISMK4wnldXV+35+XkCYDgOiE1GuGyFNyjxS1ScnvZInVuPTgkeojZXHYwMk3PEDixWQFAEUJ3zd2BeZXPyfoTxHOXZGyDgmSsjdByjcD3TznaNl69gh6HXPAJnmRg8QM+ztXE4ZHdcD3nwHgIGHjpT0Jrfq6T23h0B1HrV/QDgx6CK+avfUYevoCXqFyP9vRo+EudU+n3U64D1Nyq4tUNj3Nrh7lNOyw2llzZAeRjJRpQ5qqgjVoxIZZSnSteLD1l0/U7Lwh0kMrKcluvbdZaonJzGAb1emiwMnfP6+rpdXV0dTF/qW8P2+327uLg40AnNG3EVAABk7vdvIySAB+TDy0DghXbALmOkx+UqAAd8scl+vz94KUl1dNpzlJV0nEcF2Dk+FTCX6UEmX6bvI0CBR2w8DQ3nxkb6H0HVvB3IVz4oq24ExDc7Up7CB3Fa6Cg7RABX7iettYNLfnjvAC+NAYSAN8qktgszaLwEwTNpDDD4P5ddwTbyZaARHU/kfFTGaF+Aaxt1/qpnClYiIBv1gwpIPYXzr+rn7HsAso7OQjj0z885TB0fvvUiiyxPNhxVBD7nmcZRxXDp+T9QvQKALA2I66ZnCLN2UucRKXWFIoMOQ3B9fd2+fPnSLi4uWmvvd9uj8zMoYGPByJ0BA9dHaz9HOpjed3Xsyql6ijR8wgDrhnxhkL7FzNVrRpxvZVThjEukaz0+Ee/of1amKghREJDFdxs9td579dwDGX8GMdjCf5UH5WR7p68Jh/4hvu5faa0dXHzT2tvmPH51Nz56rJCXEhCmAzLwRr88Pz9vLy8vE9jQ0wEMNrh/8Au5GAhwHfH6PTt/3pTo+g8DE64/nc1j3viOHL9+V9pbfc+ITTjmOaiq57M2ASqS4udu5KCV4IyWjkjcBsAeuGD+2cuEekZzJFw7eLXiEc9tTnRxXZyq4a3Ickqnj298sK7pNu619jYCaa2924mMjgzDpJ2a5eapTzam3KEZDDh0D/kZdCAcJwpQBj5HDeCi9VIBZ6pDo3VeeabkHFOmB1Hfjvhm+faInRLrDredW0JUO5ENLObq/ChV25T1Dg6bd8wzUOBlPxBAA0bd6AcsA+sz1yk7/rOzs4P79vWFQDwYw7IAZOIjefhgHZ+XD7ifIFxniJnYAbtTAgxKuL5ZP/QiM+2jPaef6bpz8j3HP0f35gCQHs16F4DrUE7ACO27UU9mXFyndsQdW51mzxBnTvgUowYFO7zpzJWByaFJLqdOH0b5u/ZRMDdnJJu1DeRjIKBtyyMAHpnAoOgmUvCEcVJg4OorKjsfRYKBwaiJdxLzKAzGFvF5irRnOFydjjj1CAjO0VEH3it9U9MoOWM8Rza0sV49y0DO5aUglH9zfwG/bDYhq/9TAQjuv7rOzn18v98f7Algh9ba4YureF2enSzzR3rOi+VprU3LYG4PQWuHxwidbjJQ0xk5vtnQgTN8q80AsSzOuTMvrsseQM+cPufHZXR8I/0fAQWZjkXOfkQvh2cAIkcZhasRdo1TSe86OP9HI+jUshp/Z/Sqnf+UBKWPNilm1JO7l06VpmLMeiBJ42qHYCevTt05Gp3iZxnw0T0CrFOsB3q0j+XiEwYOEEEWNsCIw0sAvG8A55MZSOA/T1+z8XWkskZGZa6echtVRg76vCd3BMSiPq5h7Bx4ipp56UfL5Ry/yy/ahzNqlKPyZHFZPuyBYd3mDXi8ru3sHk9zq2PVsnP/cA6UwYY6UK5jzBpgGYCXIrhf6R4dPON3jaB/YLCgJ6S0frmf4z8vF+iShtNBp0MKNpVYx1XXI/1nvsore+6oB1KqNAQAdB1VhXGkz9RIcyNXNvwxSlVkh+eZc3TKlIGaU4CAyMA5pRzJbzSdU+6K7FXH7+JgVKPGSOOrA2fjwQYDdQYDyYYjksPVUQaGdJqRnTUDBp4NYMPLIzGWi4EBZg4YODCY4G/VE6ffo44qGrWMUOYkOU5PVqcT0Bun21FZWa8VALC+8LE3nhZ3tiojdUi9clV44Fger9uzzdP+wZv9kJ7X3xUUMUjg0bhelctvEdSNxrDVrbV3fUVBLW9O1EvEUGY9SgjSvQsK0rhNeS8B2lJfW87P1H9kH5RHdcSVxelQRf8jGgUEozTrbYC9kUJk5JV0jYY3WWXpnOFmpewZJE6jZaqCgF4d9Hjgv1s37sk98oxlcOmOQZBRG+tvXvN39csOHaT1ooYHBoFvI1OnxhvHnE6pcdVw5uPC2ZDwf35xCRtKbIDkkZzWGRsaNuxupkFBBK+9KnBg3uCH2QwHuDPdcKDJlcWN2Kr6xo6bnRfzcHofzfSAF14ABX2BveFTHZy/yqSk8jkQkpWdgS7z4lE520XcYqkOnPWXr/3lelNHycAadcfLdLhIS/sPABRvrGNZuEzaRzh/rieuA57N4PbkOudBY7akAb+SgQH1I875ZzTHhkZpKryOsdlKs+4BGHX+zpiyMa+O/DPEHYWNoHLX4VkRRgxZBCR0RBKVgTuQ46WGqgICIjlHjH+Pl/7nTs2GDc955Nza+5FD5CzV8C4Wi4MNhFrfbJzYSPGmJQ7jkQKTGiL3DAZYR05qqLjd1MiirnSkxXqD6U3Oh3/za44ZGOA9CI+Pj+3h4aFtNpty/z4GNDrgDp7Zb1dHmSzc9qCzs59HPS8uLqZpdoAgPkevDieSh3/zZjy0C3472aL+qw4H+scOmp8BwLH9RFkz+6B6zmAAZeH6UDALWRSggi/HXyzeXsur7yxBOIMCyKL56Ywa5NY+xnscuL5VZrU5zvG7duP2cTY30nEXb84zzf9YMHDU64BBkeOMnnMDsXK70bDrzK0dKhNXes94qXw9x1lxrMrLpVHnrrd8cbwMQCEsUuS5QCCjXntm5UVHxpQiP2Njq9ONDBgZCLBDi4yec8xqKBDuplV5SpinVHXvAsuKdNmMjpPRgaCXl5fp3e684RAysjxs3HjaFnWuZePb1X78+NH++OOP9u3bt7bZbA7uSM8MWebEq/2P2yZ7znmpAe8ZW24zAID1en3wUhm0RdRvHDBiUKsv9IqWEyJicMx2gU+YcHvjP4+Stf745T/cTxjYKhBnsKtOU20X8uSrgvUWQs4bDp1tNOIywGWwgtkI7usOjCFvfqtgZJ/cYLD6UR1w/OZQpru98FPkP/ttgM4pKUJyFKEzNq7awVUOpszpKZ+q46+CgsgpZoCA00ZGVPlkcuhoZAQE9JSsV1+uXBqPDTDz586vefPIpLW3N4XBwfEznkVyozeNy/8j/YWB52NUbLAQF/mxgWOebHBZRq2H1g4BMJ8O2e/3ByMl1AMIL7hSI69rs1rveFMiyspTvxXn3gMHFQetbaDhalMix6rg3/ULLSfz5/hOnqifg5/r+yprBHpAOuWvoFjXrPmte+w0maC/cM7ssKG3KgsfZ2UwyX2L82FdVICrM2vcVugzehKK8+K60uUZ1nMugwJmBhgMosGbl8o4Tg8IIL3T78xPcpmUsn5SdfajoGB4CYA7TJSxFr7idKN8epXiAELkBKvhPXmj55FzUQLSVyfTy1M7hbaD1l2PevVbpZ4Rd8COiTt5a4dXgOr6e2uHo2cXzs9gGJ1DYkCgYAAfGKrVavXumJ8CCzba7r52N8pho4QNsWwAES8aiUGHMFOhSxlcv1xfbKBBGDk6nYjaLIo3V6+4ftTwRsZY8+zpf+bwVT8jnmgvPgffWnvnRCJivXNOypXLAWZOy6N9t+MeuoV0SMOjdwAEnmHlKX3tm6pDeNba4SwG+CAc//F2QXdhl14FHJWD89V+znlr23AYL5HpJwMAqivO8Y86/GOAQMVvMh31NkCERR3OCeJGCK21d8qFdHxKgI15r4MrZUZBne9ctKXOOMuPkXMmd5RfzyA7QJbFVzl6dRC1N765XXnUAYPT2tuOZXWkyg+GRtcQWdbom9OrQ+Z43F46tY/0fNMZEwwv162bpucy8cgF66EYBaoTYH1h4wX51uv1ZBQZgEB2daoMUHRkxde5qtyuHL0+cAwQYB6QVUGYc5bOKTiZtPxKEZhBvfJsAtpZjykqL2cveYZMgRvy2e8Pr/BVgKTl5E1yum7O+oNwbOzjOlNgyw6cR9oIAy8cheUlKc6bT8mwg+YZh8ViMV3BzTM2ugTEdapLDchDQS0DAwUD6vg5jtOTyO72bOhHPKs8Vxq+CChz+BqujcQCqoHjBmF+GcLqGSR2SHOdeoUyZ+jkXizebpU7xkiOlimqhx6YUOoBFY0LA6druGwcOD7XiYI+pwPqfJkPG0C+E12nHVUvndPUtJyH8owcJM86aH3wFK32Jc6TAQcDA9fHOK7K7W7LdCNAV46RMJYvAwxROgZvbo1d9cWRhqvRz+R2vHXtHnE5TaV/cp3wi6s0DusXH5vr6TGAA/OATsDpQwbsPYEeIr3aZ9YNnj3gUwYsN4NegE88577DM3U8o+Vk0Dri/wDUDGQUMHH7s15FI39uT2dPIz/naNSJR30nS1+10bNeB9xz/g6hKS+Np9NISKvhjo+CDk7P4RVjg7jVyo54omzOwakD0zi9BlQnpWG9dC7MOWH9nVEEghaL90eE3JQhyqxXgvIsgQNVPePPx3+Yt9MZV/6svOr82TA5/eMpejaUSKdr8Cyrzg4oMNGNWPjwdKsaQgUg+OaXuGg+GY30mYqRcm3ujCPi8qjW8YLTQ/nU0Kt8GR92biN2SOvUOUE4MAXI7GhRBp3dYnn4hTpoV/QHnlUAH75ZE4BUgS9kcfe38EkCtn0M/gFykCfrKeukggkGB26nv8bhNlDnj7isUxEYcI7f2UzWwYwyu5oBi1Gqppu9BND7XUXiCFPl7TnWqowjaGiUqmXkMnGnj9bOKqT1xeEVuRVwOB5OwR2vyn9sLjo7O5uMANb/OJ52el4/55GxjpLZALb2Nu3HBkvjurpgufkZG1pOx3m6C0ki+RgcufV7NZ4grgdQtOGKidPgJS7OoUI2LAVUDUkPJLh+nfVNda6Ir3nim39H5V+v19MdAGgjPvmgTludiftwvP3+/axKT7+YhwOT7PTZQasjg9y8BwD6hf8KCrmuGACAr9sUyksdXF70UZYJoAB6qUt/uqTHIE5nIdBmfPSR255tanRCjMmN8LORf6TXakej9tZnURz9rgDviF+FZl0EFD3jDuQEVx46zQRyij4CKJxMESKPQIIzPhx3boW31qbOnL0ISPNzpE6lSpns/KxX3gzoML/tdjs5fhiNzWYzjcjYMPHlIw4kKX9d9+PnWj88qtV44KHTjIvF4ZSl1gvz5TKzLDoy1alNXO7CSyUsE5cN9eWI9ynodLAaTSUNg0PgGRTVg0r/nEMMktUxROCtJ8dyuWxXV1ettUPj75YAVC8i+RQ0uKWEyLYoH90Lo5vwdNSMPSMvLy/TbAC3vTpXnkmDrLzpk4Hrbrc7eGOf7thHOPoGgIICU/4NwM/P2HFrH+O8dU+HpmdgAVm4nKw33O7OyWu4liNz7iwXh3P+me+IeLs+5/oA/6/2x1kXAWkmThhXUE6j65JI49axNI85pI3BfDIHy88rTt85Qf2PKTy9gMWBAJevk+uYenG/s/yVsrxfXl7ajx8/2tPT03T0jKcf2cHAwPA7xWGIEG+1Wk3rpNCV7Xb77oggt7fOIjApgEBZ9IpV3tSHOmHAoI5a07DxZnCr/cit6XJfAX8GyfjPF9LwaIjrBfXBVw9HpPsBIv2oUGYXorz5CmnmMydf/Na74d0yQNQPVT6VzcWtDFB4zby1w7VyBhl6H4RO72t+7Py0T/AoHb/Bj0fuHIdPFkBm6BLKzuCdwS0fW+S0SKdgn2cjEM8tOSA97AnPNnD9cPugXzgAwDavYhv5v9az45P1twgAtPbeBykQUHBR7SOzLgJSh+MaMHJOTgn5WTQtnqEmx7/3n9efKuVVikY/CjRcOjdynOPA0bkcsnSgoAI2qlSRFx3x6uqqrdfrySBgeg/OG+3Ba6DQAywToHwABzACrR1OV+52u3Zzc9NaO1wGWCx+7pbHtDZkwJQw88UICPJDV3kkpb+RN7cv0vEoxd17rlP8rk2cIeNRIc8ycH259djI6DlSIORkc/+rYWrQIGvP+Udyq/FlvXl4eGifP38+0C91/tqeziZxPF2KGiEtK/Nzy2BcX1o/DPgYVGjdYeOfc5Zu5pXl1LZC/8HV1ACVGOCgnyENl4VnuhC2Wq2mnf+sCwzYmA/z4HZaLBaT3dBZDo6bOf3I+Wd9hfvfqD2N4lf1KhtwZjRrD0CGctm5ZWmz5yOF6RVUDQiot1nD8amU2+WlBGfFSwCOR0+eyFk4OVQ5KwraG70oX/3m0QlG7riNrbVDxw3SjqnvhtBjYAjn6c1v374djDJQT09PTwdTqDA4vAzBjoGNmzpU7JZGOzw9PU2zEIjDI3TwZ+DCzpVBUVT/agy5PZ3TY6Crsx+RY+Pn4K8zNZlBzPpIpnNcBm5P5ROBascPPPTDU8b8tkboKvPlNmTZ1GE7OXo2Q+VjsKZ1zqNx7sNoR5RJQTHrCfNRmdbr9UF/RF3oDFdrb6dpGHCsVqsD5+5G327dHjKhr7tbLxFH03O5FJzgv85e9WzfXH/CFAFC1XGWScMzfR+RpUezXwbUo6xT8PMsH8ezh7KqTnQOaq84RJZNnWFrb3eSq3ObQ3qOXqk6KmOZR6jSWfiDUTU7U+3o+ozXJrnzsoEETx6xsSPkqVDe5IR4z8/PB4ZnuVy2x8fHttlsJiMHx8DOY7PZTABCN9aBD5cJsx9YD0V96Nq8dmyk19GTm3HjemKDrkbTjXRc2zJocfd0ZG3fy8NRZDd01MbhnI9Op6N+V6tVu7y8bK0d7gXhfHSjaATAdHnC2SStI7WfDCT0N/QU7YeZKx4ZK3hQ0vrnUyRu4MBAme0XQBB0T5eZ0O/U5vGyAesqwIbO/HFf19lkBbPs3PloL+s+2xbVE9cm3M/0GVMG0LO0qk8ZuB3xtT0/26PhewDAXCvCoRmH0rKKrVS6NlQmoyPurBXK8oqeRWUBqnZnfUeJOz7XSSZTRFG7RvnytwtT4MP1wet4i8XhWp2idJ7WZn5sHLkO2MixwYJj1qNTMF66Cx8jGOSDNUyWHwastZ9rp5vN5kBGToNpf+w454tUoBO73a5dX1+3x8fH1lprV1dX7enpqb2+vk4vr2Hnr+CIZWPjyVPCvKbKAKinF1G465dZnIiXsw8MWlAmN23L5IA3vrH/hPNxutVzGq297U9gfYucgZMxCuMpeaTn5SKUgUEst31kZxU8s+OGg+YTOYgDHealLi6b6qKWnUE5y8bLDLzbn3XZ1asCN7QB+jCDDAVTGQh27RL5t8i587NINyP+URzlnaWp2G5Hw3sAMgeQoZyIlyqn8nMduse/6vwjh9lTDlClwjUvTIPrWdYMEWb5ZnXc41Ph4eJV2ljjMKrnaT02YLyeqgaFOz4bL6RlXcJIm/kgH9Q7T/WyY8BvOF2eZcA3AwAAEsTlcqJM2+32wHjhBAT2HSDPp6enKY/tdvsObEB/Wmvt+vr64OIg3qMAo8eOHsBTj0hViPtnZBjnUARU1fG31t4Z+Si9mwFAG+mOcrU7+ps/PFLnNXtnv5ic81BHy7rLuoj/nz9/nvQR8XQ9W29L5Tg8xc7OGw4Y6fSeDOyF0T0mSM96jjriOuGjvwC6aAee4eP+HYFK1j/IxgBE6xvysPN3M0gKWkccagYKeul7z5l3BDIdTy1Hj2adAlABI8QZpXeNzHxc2ggdOVAQhbt0xxiwTI4oDIh6s9m8WwJAPfTk6tUFd4KqImRU4cGyc9jZ2Vl4NK21w7VNGDyO4y4CYmTPsyl6EY4aLV5nd0aHf2NExGvo2OH8+vo67WWAs4ZzxVqqOuHn5+fJILFjBj/eJQ2DDsILfxgs3d3dHTgJlB/1wbMPMLp8xBKzC5nz4naqhEf91tWvS6d9lPXAzQCoYUdcBQFoC7QT6hwgC8S6hvx0zVzX/9khsxw9OwbdYjkRhna5urpqNzc37eLi4h1PTH0zX+1LmjfL6TbEaRkYgC0Wi2kDLfoZdJb3H3Cf4z6to3eejYK+av1BV/lSJD0Z4fY0cB/nwQZI9Syiiu4qH5bLpXGDJ5eHkzHzkXNp1k2AKmAUFqVxlYDfvUrTsCpqU2foUKOL6xrJ8aiClP3+bW04Ukr3fwQQVABZVFeREo6SAgKd8mdnz1OAbJBgENGZ2Mjxf3bUrbWDtXjmwbJgBIE0aijYsMOJ6jMYRBgmGG/OC0cULy8vD8rLyxK8pAEnzcsieM6XqqCO9MIULCHAmOuoDvWy3W7bdrtNLwTqta/r25GNiPqTi6cGnp19TyZnY1BPAGGt/XT2vK6OeDzjoE4LH54FcGVwcmkcXkZgQIH2uLq6ap8+fTp4pbNzFK5eWGZH6hwVlDMw4LrATn8851kHrT+tN8fftavadei8gi60oZZ1v3876YAZNrwq2C15OT/Csjp7qOA0+3Z1z7yy386OO7mVsrZXGl4CiArgkIlTTE3rKtflWXGIFYesFDlKLo/rwI5PBQTAgLAzc7L0iKcKszJFVDH4c4GAq1PIy2henbKSjigYVbMR09GAggNuS10nhDy8Jo/n7iyygg52ypwv6o53TKMeeMoUYUiLjYG8QZD1kmcQ+Mw1Zpb0yBMMNo/8EMabHKttHAHHEX1y4WqI2djrVHYV5Osz3csBx8CkI2OUWfNgAOBGe5GMkXFmPW7t5xKPLgewjK584J/lDceNWSyVidtB81+v1+94M0jiOmM95Cl/lFWn5pE3nD14c79iQK51zkuqej9AT2+q9cb1zPyd30F45Dv0WQ8w8O9j+prS7D0ALrMIiY7ymxMH8TKn1UNUzum7dJlcvTKz4+jxcs8rHb0iU68zROlc/UWyswPjt4OBtxoO8NHROE/bIg2vLTI/Ht3zjmXIgrx42hIGnc9D8x4BNkTgBUMK+fTGPJZXZ3oYFIA/y8uzE3wpEssABwk5ABqurq4mkMAXu+x2u2kp4du3b9M+BDauc4FjpksjRgvlZOev5UYcNb49+bmuEF+nwqtlUqekOlipDy4r9gSBLi4u7NtCnVwOeET1xUsETp+5DMzLgSG2Q5wXL8exTE4PuP4VOLDzhsOHPvMMouPJgwk+yuiWRuaSggt91poHDlrnPKCIgEZFlrk0tAcgQixV5+iU0sWpGqOIX+aQlDKUlqXrxYnSQDmx5qVxHfBw9cRHskZlQ1hPcapl4mfOaMPBMvjhDsydH2voypfD4OiRhoEGSJ02T5WzjumeA4zseD2YZwFwRz548CheNzIC8DAv3lXNebb2dlpARw8MCLjsXCYcZWTZdrtdu7y8nEDN5eXlNA3OdaOgKCMFhz1wqQ6jx1uneZmHix85Ik6n4K+1w02Fzvll8jlQMlJGl451h1+jy3whH2/+1HrQdtFRtKsblT+rj8xBaToFRioDz6Jkg6/W3sACwnhGi0/rcJ9RPm7mpEosm+p3BEI1fvZM01b7zbGAZtY9AK4Cqk5GDUgvr+jZCGLPeFbASw9YaP6ZIcLvbANgT7YIGFScepVXj2cFNPEHPLARi0fqfDsen8mPZHWG3+mkOujWDmcTdOTO15Yyb8iLPHTk7F6cA4ODkT2DIN1giG84asiHETtvPmRnzQYaxh4fGFYcT4Sjw4ZDyMik06raV13fG9HDTM8UiGt/YCcy2td5JKlG18nuAKiCCTf7NNL3WC9YTga07Oi47HpZDuSK2sn1lcyZcbgbaDDI5fIzSNU6VUIenCbzFQx4uL44/81mM21uRTj6G8eLSHVf+7OjyIFHPCIQMLfPRFTVxeGbAJ0zdA0cOcSsQlyYVpBDkpkcmq9rgFNSr15Wq1X6Qpcez8zxIXwu77lpIjDAxhKb3eCIWU4d4WoZ2aE5R8HpeC2QjbSCAnb+4AkHyxeVqO7phsTFYjE5buWP0TbLv1gsDo4pqiHlNXp2NDyFzfWFfHmqE0CGZ5gUWKkDUWeh304HHFBQndA4lf4OndARHeuUbshUwMn82Jmi3Xi/BOtcz0EAyPG+Da7PrL4c8XKXboYFXx75cpmiOlZ5Qa59XNtxv3S2VkfXLgxtBD1WflrnFUcX2R38vry8bKvV6uCEDLd5DwBUwIF+VBbVB5cHy93bBxaBkGrd9WjWRUAROQTlOnfmeKMKqChBj6ppXccaKXvGkw0SO72sszrSNfBM/h5VOkWUj+4kdoYeBpeVleVnZ6ib+nitm4nX0dkht3b4Eh0YIo7HN/tBJn77GbcNO3rVaTgDBTB8VImnnFEG3AUBvpgRwNXDKB/S4tpivXiGwY5O30eGBZsLI+fPZdORcFXHVR+qaZCO13t5E6T2F9Qf6wf3IwV/PFWsa7eZnOrYeIre1aPj52wewlTHo/V/pNF+4uKo3Nq2HM/JjdH0p0+f3vHgsilY4f7tQEzmIF39ZL5CabH4uez26dOndn9//y7vEVLZnOPX/xmY4rrXeJkt1/JlQM3l16NZewA4I84sQyhzhHNxIzkc4Ih49Mg55Iy/y0fBENPj4+PBETIXJ3Liqnw9eSogYNRIO3m07PxRI9FaOzgKqWfXI+eleagR1ylV3WMQGUa+otgZNHSw1Wp1sGOepyT3+8O1WR0R8ZWoOiOg072oGyyNKJDBVDZ2sfNoC/ywJ4HLhTrm0a+25WgfjXTHhVf0EfXIb3dsrR04e/6vRphlZxCmSyacX1Y2rQfdXApSXew5tygfBT2c1gFoxwtx1Y45GaI6wXFSLEXxfhi+BlnLrSNttpuujTRfLqeWK/Ipynu5XLb1ej3dtaKAzzlyJ0dE3FcjABiBAJY3qvueP63IXLH7rc3cA8BhGWqODEM1D+d0ozijzn8OUKjy0hEJh+PyGN2ApHEjQ8x1UjHSruNVlSPKvxKXHU9r7WDKFE6IR+Gt+dff6sUfbACRhgnpEYevC2U+vIOfETiPwEFwuOj0vIzBhNMDahj0ulO3LID0WK/kO85b+7mWzxsUOR1k4zporU2ABXni6JubPlaaAxyj/5kx5zCQzgBAHv7vjGjUlxjEIZ47w17t/24Qon25R9o/eI07sx/c9yM70HvO8Zzt3O120/0VuMIa9bfZbCYbxnR7e9seHx/b2dnZ9GIs1PtyuZxuMoxG4ywz6nTUdisIwMu/mFhnRgAAp+G2zsCV45X5nYoO9uRUXe/RrGOALOio0+w5dA2PHFAmw1xHPioj4kbyuXx5JId4bvqnZ6Cjso+CLo4zOmqJfqts4I11d64DHr0qL3ReODEdeYEnO3B29Jmu4Jv5alugs7PO89o7XujDsxitvZ/BACjAMgPLp6MnnM3mpQjw0w1ivCTA71TQJRfdE5GNJkYdv9PTDGRmfZV/6+wFnnNb6Iguk7c1PxOkG9ccT9UnJQAWXTLp9Se0hzt5EtWx6jUocmZaZyqLG53ijgB1etCl1Wp1sEcGfB4fH6f9LU9PT5N+Pj4+TkD88fHx4LXB6/V6etnR09PTwf4ofplWtDE40zWE82jdAYCs/vg5g6VsgMZpMj/p2jVrI4Rpm6mcIyBiGABUMooaJWusKn9ttCxOVukZVZ1/9Dwzfng1rnumyhPxzwxSDzggTqUdesqU1ZPKuFi87cZlGXQkrHXAU97s6DkujAM7C7dGy/9hnHTK0o2Odfe+Omee8ocM2lFhWB3B+Outfkw8I8CXFvGIhO9X54uXeD8BG8WoTXUGo0cRoIhGUpxXNpJyxjaSy/WdKF+XRts8io+lCd1QiCW9KoDi8oIvt5vKp+l0E2Rr7eC659YOr8R19bjfv82EsP4ul8t2e3t7cFqF+wtk5NkqLGtiBuDi4mK6OIhfe87XUkM39/ufN1M+PT21p6enqWx49vLy0m5ubg5swX6/b5eXl6EzdkAuAgBRm7OuMRByACLSH/7WvUxc7xE5mTL9zvqIo1kAQJGLPovC+TvjXXE8PQdXCas86yHn0fyh0MzDOfPMoKFTVmWogjE3KnDPM+AXhUNx9XYxGCEuEwwNGx92nlxfPL3NIxcYKubLswU8woQhYmCA5+w8kR6Olk81QEadnteZCe3wrO8MFBhgQGeiXeII4zLjZAJmKvC7tfgOCeckIoocc88Buv5d0ScFcY5X5giYMtDBz11atAH3YSxpMS9XHwpGGShuNpu2WLzdAIn4zgG4esA3651zUK48mMForU0vjcJy1n6/bxcXF5MeXl9fTxshGSi+vr6229vbCXxcXl5OfQ0zUyizHtMDANhut229XrfWfl6G9Pz8PM0W7Ha7aWMi+h+/IInLyY66976LHghwS2uZre6BVHwYmFV8Xa9vVgCso6P3AFTjOmcXCVmtkCrNdf7Z88jYZSMN5qXThfxddcyR4TqWsraOvjme+4DY8e73+wNDonwZdcOYIB5GA9zZ4WB1SQVGiPcGRIaSNzm5NwEiPm9YVJ0EkGjtcO2anbrKykaKy4Y0iI84DFCwSQsjLV2j1XsEIFdmGLkt3WyB09EsLHLcTo96RjGTV2Wc078jYwpghfVxPHOXekV2SssLgIupdV1G0jZwjh9y8D4CrdvIpvBzrPVfXFyEwAPE7zDgONC//X7ffvz4MS2TId7V1dX0G/taWvu5X+Xi4qJdXV2179+/t81mM4EI1CPq2e0fYpui9ac6r/UQgVcFb1pvyjPikaXJ8nMAMoszx/4PnwLodaoM/bCgvU6eObsRh54pfo/mGKGMzs7ODtbWkIdDsUxOqTLjounUUJyaMrSrm7jcN+Lz6IB5sPNmh8nLBxiVcDicnu6ix38eEXM78BQ/8sKIGoS1/9YOL9nh0RLPFOAeBG4DduYg5sl1y0sNrb295Y+BETZt8Vva+NZBnhIeAQARCAD1Rlda5h7QrdiFTGbNR9NG+Ue8WE9xhfLV1dXB9L8D9D1y/V43rekeGZcucoJRX3PAZrfbHVyYg/7k2oTX1HmmTunm5uag/6E8mLrnpYWbm5t2fX093QZ6c3MzgQLktd1u283NTdtsNu/qg8ujZazoeub8q/oS8UR9Op3UzcmRrY58QCR3VdajNwHqs4g0TQYk+GY4js95OCTsCh0ZFSigM2w9IzIHRGC0tl6v29PTU9qhOS8nO6frGdSega8oSpZ/Fofl0p3NcM5QYp6WV8JudpbZ7QbXEwOt+TV9bhN9UQnLw3XLfHiXemvt4Ppi6C2Xh48A6pIAG2c1otAZOPrn5+e2Xq8PdsizjMgLGwIBQrSM7gigo4rhq4yetK/28q6AhUjW6L/j1QPaTp7dbjf1X+icvpUus0s6+OG21/0wDPRZN5RvNqCK2kdBLl9uFG2WZJl4Nk1n1vCb65x5Io6O4pHX7e3tVF4siTw/P7fPnz9PMwg8wIjqG8tfDvT2HKUCphF9drwVjLk24npy5Pjp86i9I5q1BFAx/FEnqzgTdf6ZYkf/s/Q9o5J1qAp/DVcnopfijPLFs8jgoAwIi5S3Qq6tK+XlDsqGA7Lh99nZz6ORPNLBR0dV7Djh1LTDcF1rfuwAedMV8sJvOG/Eh1zY5MSjasjAMqvT5friMJ0VwFo9TwNjmlQBAjsGfCM9rv/l+w0wFZsZvhG90Pp2esZ179JEYc5QR+k0PHLqWV/K+g/Cud5eX18PQICLH+WjYI33p+jSjQJQnQnI2tDViWsL/Oejeqz3PPPmysf9m2f73B4EfqcGy8PyoV5UxuVy2b58+dJaawenaRxpv3cnAFx9aFtG9RvpswJ6JQfcOB3XgcbTOsr6QgYilGafAsicqmuc7H+GwubKUwlTBT3GOUbh6hQxEtR8tYFVvkoenEb5jSDYSlm1XFE4jBvnBQNxdnbWPn/+PG38cXK5D0+5t/Z+HZ7vWHD7BHjEwrLCeev6oTpeXa/FEgW/phSkJwT0uBhPjaIs/L+1t30JfI5f5cGIn2cdkB9vlGQn4owZl1uBW4+cLkUOWUnzc32kkn8lzOUbhUUAIjrRUZVT+wlvWM36s/a1CBBwP4v6PpcVMkC/nKPpgR2E66j85eWl3d3dTRsdb25u2tXV1UFanBzY7/ft4eGhrdfrg1sruV+gnrQMTNznnP5kjl/DKvY4q5eIKnbY2d0IbIPcckxEQzMADj1GlaON0vvvqAIkMnl7z12HqaSPjEKPeANZlFf0G/m6US9TpkgZso14VcKiOOwU1bC19vPyEB6VOsPoysCjjtbevwJUpyR1zRKOko2EbjLk35hSR93zprrF4u1ufzhptBOv0UNOyMDAoLWfL0m6uLiY0rT2doSvtUODrrMLunyCkSVmBPjYIB/7cu2mo0yQc+yuz5+CHADAd2TQRyhzolX5Mrun+Sig0jLA+fJJD90D0qtrdvYOwDEflxZLG9AVPmbK9xMoaGaeCj5b+wmUvn//3h4eHia7t91u2/Pzc7u9vZ0Awv39/XQ8ervdtoeHhwOg8PDwcBDGeThdwP4MnNBwes11EX1zWyhl/oLr3X1H+Vd/a1gFTDga2gQI5qCsE4447uiZC68Ah4rjyirINVqFIrSmYbwe5hwjy6Ckm0ZGyCkhy32MAY/aSvkjbxgZrd8K8OKNcgoKeH2Q+fG3Lg/otwIG3pX/8vIyrSvyWjvkgWPHSApvCmS5uNwRmMRznZVg0MDhkE/L5kBEBmBH9CobiYzqkuqgjsDwcfskjqWebarYCiYtg+o3lwU6gmc6etY2Y71QPXeOhWVSHizb09NT+9vf/jbpW2vt4DpmvuVysVhMy3YKYnh6H+FXV1cTaMYlQU9PT+3y8vKAJ5z6b7/91jabTfvx40dbrVZtvV636+vrtlwupxf93N7ehu3HAFLrRG1nr32d06462Eg3ek5fy5UBDY2TgSJHs5cAehQZ/yyO4+FQdEajBiFrzAgEcMfkPKMycqeP0GjGQ/PryV5Bgy48ckiZM3Vl4PIyeuaRBJ931vSgDIRxh4ZxcXHhFJl0epBlVmIZuA0UIPCGRp7mx67x7XbbLi8vD/JHehhavkegtXbwlkGe9XDH+nDCBMsBbFj3+8Pz0Nwm1RGGo6zfjIQ7OdjJtXboHBXk4fmpKOp/kdyqbxrf9TPVPz5+yvdeqJ1RHWc94udOzgyYrFardnV11bbbbbu+vm5///vfpyt9b25u2tPT0yQnX+jF7wVYrVbtL3/5y8FFZwjHXh/o+PPzc/u3f/u3CTDj6OB+/3MJYLPZtOfn54Mru7EB8Nu3b+36+vrduz+0rKwnGVAdtb0ZiI7aPQMC2h+d/kSnCFhGjV+h2RcB9VDxMRQZ8kqaCkhgihoycoZZGk2vcTBiiy610fiR44/yqqBSLYOSWzOs5K3/+RsjY7chkNNFYU4GXQZwfKKOXUXR+lvBnJLK4oAe2h5AkKfkMXMAUMDLJ4jDSwd6okBnGvguAa4X8Oq1gdOrCrh0VO2/WRoHCI6lUVtVKW/maNX5a1/QduI0CHN6yGl6ttO16/39fXt+fp5OYH3+/Lnd39+3T58+HczW7ff79v3790lfX15e2uXl5fQGPp0u32w27fv3722//3mJ0H6/n4DFb7/9Ni09aJ/iF10x8WbICPCwvvNsnmuLqH9U+kKP1P700jpAgDLqjEYvryoNnwKIEEgvXSVuFK/KP4rXkzlSoLn8ouf6hrO5QIlly2TMDHU2Uoj4ue9eXDdaiRCqxm3Nv+wHxCNC3XzHsiBfNz1ZIThmvcKZ06vh2+8Pbz3UMO7YPFLHMzYGbMh4jwDqkkdk+A/+AJ3r9bo9PDy8W1vW8lQA8RyqACYXz41sIiAwavxGAUxkJ1wclZvlRbvwBlAeSTtQwH2Jd8kjzC0dVAmbWltr0wt0YKta+/n20t9//719/fq1rVarae1+t9u1r1+/tvPz83ZxcdE2m83B3QGttelK4Pv7+/bjx49pFhA3CvIRWciNZ3d3dwcv5drv3+7jyJwr+gx0RQdc+NZZEwem9Ltq+yMw2+tjiOviRO2reX4IAFCqZuJGYxmPuU4xohF+zvFHlV3JIwIFrnNH5JQiizuKUI8x6swnCkdHc2u3FTDhRu/OqUdAQcFHtnvY/cZRvKenp2ndUY2GcwSRIdAjUMoPMi4Wh69exTM4+P3+7TXGWD7A/QB//PHHtAyw2WympYHRtq7EHwGXlbRZnbZ2+FpgPf0x2jejkbHKwx+VU9NmI3GVlafOcTS1Z9w5TMuv8mp6BRecF3bhX19ft8Vi0e7v76fNeZ8+fWqr1aqdn5+37XbbPn/+3C4uLtrd3V27ublpl5eX7cePH+/612KxmI7vrVaraRkBDv6PP/6Y9PLLly9tv9+3+/v79vDw0Pb7fbu5uTl4V8Dz83O7v79vNzc378C1thmoumHaOWYOg77hW+u0ApgVUKCuEFeBLRPny88d6MzKrPRhewBA1U4ZGY1TggTXSXuOqIf6q7IhnEdwo+QcRiZrJEfVEfTquef4+Tc7sdb8URXnVJ1h13Auk7ap5qd1qBQZWkyN8oVEj4+PB7ed8VEuhPELT3g9U9uAlwMgG59UgM7wzWqI+/z8PE3fXl5etv/yX/5L+5d/+ZeDtxXyMoJzahlYdU4p+z8KQnu/ldhYIl51c6DTpeg/G1QHAiKZq/3Q9ZOe/ODPH939z4CbQXhr7V0/RNjNzc20VwWjbswGwBH/h//wHw5OoFxdXU18WPcxqkcZzs/P2+3t7QQuQH/961+nugWYXa/X04ZDyLHb7dr9/f0ECq6vr9N6VluQxY1AgLaD2iXmrXbIAUV10s7nZEtazu9o+dgvVH3MhwGAagcEVRxrtWNF5CpslDKDETlmbmwdiUWOaC5lqPYUhnmEdLSdje7YYFV5ZvI6+SO0znLofzhudCoYVwZymHLHtClee4p3kl9eXh446U+fPk158M2Bi8Xb1DBfhoWNU5jKb+3wkh+UDaOi3W7XPn/+PG2ywkcvnuHbDDPdGNEbV88j6aNRswMiWR6nAADgq+vILm6PjwuHLgMkuhNBbjSrfdoZe3bAkfNhgPPy8tIuLi7a4+Nju76+buv1ul1dXbWXl5f29evX9p/+03+aHD/O9ePlW5eXl+3i4qI9PDy8Kxu3GwOVxWJxcAQYBP3m8p+fn7fff//9XR1qubjsOAYbrZ1XddLZLdVFbTMG25BHeUaDmNG+pmWJZIpoGABUHeeoIC6eQ+MjMozkdWy6niM/Pz+fpvqikVePesox6uR7eY3I5tAwvh1iztAsp8/+u9F6JBfyqJaFOzneTNbaT2ePe+DZYPNaI85zY+8A7jO/vLxs2+12yme327WHh4d2dnbWLi4uDl57+v3793Z+fj7twAYfnCbgKUEYU5QRJwIYFDCIiUazlfp0dCx4qKSPwOxIP4oAYPRfR9paPxG4jkaKrjzcF3RtO8ubeUWgifPkfJys+/3Pl/dsNptp499f//rX9vT01L5+/dr++OOP9uXLl/b169dpHR7g9uLiot3f39t+zUCA3wro6tsBGbUnrr21PM7hRs7VOU9Hqm/8zbZAB5gOtKnjr+SfgWnVmRGatQmwioQ4bdQhIsM+gqirzoqd0ShV5FEnx3kuFm/XtR5Lp3T0jlfPmVaec6fW0QBGpBq3kr8bQWUUGYxMJzk+ji/BweIo33q9PgjH8gBG/XwM7+zs58tjWnt7hzobXpYRo83W2nQkC458sVi07XY7OXUcMdztdu3Tp08HoACXsmy322mkxcsX7n0AI3ql9RbpkLMTjhcocrIat2fMXfwsrcrBPB1g7zn/jD/bBOXtjHjm/LQ8zDsDBRwXuvHjx492cXExHbXD1D3uvsDmPWwaxLIYgANvAFRHqeV3ZemVMyqLi6f7Zj6S9D4ELYcDAU7uqH4U6PXquOILQUMzAA5VjqbrOZHes4z3KWkEWEAOTeOUmy+OGWmskZFOj0aM1jF5MPCJkHAkW/TcdaKss0TponZyeUVxMF3JQKC1t0t5WmvTm88eHh7shUA89cub+rDvoLW3GQXIzHehs2N3wAbLCQwuKuuDkcOIRkI9xzcCLPhbKeJTCe/J4Pq7psmAgPsf6Xhrh8s+aKsMWHEcPdrG6dj5OSDAM0eIh+N82GCHdXeAzaenp3Z/f98+f/7cdrtd2263k17jGN9f/vKXg3wyQObqPosX1YnmgxE5z7QyCDjGzjl+zJOPOrMszpc4vXJgRU8IufS65DBCR70MKHOSow7eoaHI6WUV2csvi5/lMyeeOpmeQ4l4uO+I5jrzUWDBRifihTh8TW1mIJ2Sj+pWRBmYg7FQA5wZnSwPh9Kvrq6mndRsMHCyANf2Iu3vv/9+AKAwE4CNWZvNZloO0I6PvPnCIN4I2OsDmePXPEZHv1pXPSdxKmDh8o6e9cIiYBrptJaH4/EpFnbInBbf/OIq7ke8IbIHIBxg2e9/3qy32+3a3//+97ZYLNqnT5/adrttf/zxR9vv99PmPE778PAw5ck75HUvA/eLnn44x5rZ4ciRtna4efNY4jZxtkD7fWT3OV1k25z9yfou2xMN69HQDEAEAnppRg15NU3WkSuyVeO4eCOOAR1dkftI/tX4IyOtUfA08t/VD5RYzwpHHbl3vjtDxfpfdYr5PT09te/fv78zxrgABWH6YQPuSA0yZgy4I6NOMPqHM+e72PHOhMVi0S4vL9t+/zbqd6MObFLke91fXl7evWVTZa0AAwdkI32ugO3MQB4LOnp5j6Y5hSMBYUMm6w+//IadHztYDW/t0PBH9zxw+2k9Pj8/T8Byu91Om0dvbm6ml/j89ttv06ZAvG3y+vq6ffv2bZJNj6xGpABH5eylc+Vinnxy5qNAgIa7kX7PNylQ0wFEBIbUdkYDgArNfhdAFcFHlZY5+UxBRhqyBxB6cSoyVngtFm87xHkqvLKGrbzdztk59JFGU40T64kbHag8FaOgeqhhTKy7ro1w5Gi1Wk0j699++23a7Xx1dTU5VCzhoO0+f/48OWWWLeqU0Qgs60t8CxvSYU/By8vLwWtkEY/3mnC5o02AkT5r+/RAVxSmz3u249h81LhWHHgGXqK6cgMSN4LTfBwA0pMwaC/mofdIVPTKycr/V6tVe3h4aN++fZtmm+D4cWIFoP3x8bF9/fq1XV1dtdvb2+kNgvf39wcARfPI5OJ6OGZwBP6RA622qUunHycvSPcfKAhx7wIB6fJMVD6VT+u3SkdfBFRtpMyIR+E9cDGS19x4PXBQeQaHwcoQUc9Y8bvoM3l7inDKEY1DpXrXP+ThEWvPQEXkjHsE0iKe7BCfnp7aer1uT09P7ebmpj0+Pk5Hotbrdfvy5cu0yQ9tCKPnOnBkpB2pIwBIdB1b65Pr0tUnZgLQHpC3B044jP873eylzfpwFs+VuwIsHLnRVpR+1Om4dnGDFi2zfnOfhg44IM2Ox/Ud126cxpX96emp3d3dTXtNXl5e2m+//dbOz8+nS3teX1/b09NT2+127cuXL+3Tp0/TNb+8udSVFXWAclT6hZYrazMXj/NRmzsCLl29uXrnvDSdxld75fhH/x3APMaWloegilor8UfIVYyruJH0c+NV+DjHE6XjRtIpugiVRw5NFSOK16NKnB5Ac7/x351DRjjL0EPmLpzrSNclM/kjY3J+ft7u7u7adrudNjrhCN6nT5+mN5i19nNTH15qwmXVDpqVT+sqklGfY/YhGlmwLPxiIX0las9xVPpQFBb1iZ7t4HgjvKLnUdtnYZU0rrxRmqhu8Z9Hgj25I+fPNsUtT7E+Mojgz+Xl5fTa3d1u1x4fH9t2u536MPap/O1vf2vL5bJ9/vy5vb6+tm/fvk1LSwpIIZtzvL0yKmX9R+uY+0d1gBM5Y+fUVV58c12jn+nsTdbGjmek6/zNbav1UKHhGYCKU+jF1WcjPB3x+nrEo4I4q/llcdERuHEQX3dgZ7KNOEXN69TUa8cIQTtjACORjdy1XpxzrcqnMimf/X4/vQf98vKy3d7eTiP/s7Oz9uPHj+kMP0ZHAAuLxeLg+laWDaOmjJwDQx2BF6/lc53g9263O3AkqHMcSYS+8QxGta7cqINldeXRNeBoJOTyyxxBNEPAv6szBNpeTq+yPlXtb1GZ1V5pX0E98mBBdZb7D+8XcVPITg6us8fHx2kzKa4A/v79e7u6umo3NzdtsVi0i4uLg3cQnJ2dtd9++629vr62x8fH9vT0ZN/ONwruWbYoPurL7XfY7/cTQHfpuE6Uv4IH9+nJ6vyQ6+PaPk5Wp2fZQEPTVujD3wXQS6PKPQokNF4PZVblqsaJEKs2+sh6v/LK+KuSqHJG/+eABodmneFURKxpebd7dUTqOh0MgdZJa+/fqMVxNO56vW673W6a7vz06dOBI358fGxXV1fTTWdnZ2ft999/ny4/AUWd0OXpiOsKcXUjIsdxyw348E2FfCeBLi9k+tEjHZUsl8upDtUYAsionDqroXKgbG59WevcGVeV1/3uldfVy0h6jccjdX4FsMaL9Mft9nZ1qM4ocmK4yx8XVvFG1NZ+3kfx9evXttls2tevXydwe3b286VBAKiRo+P6cf04A3DavxTUOH4MrHrHAZ3tjBw/x3Fto3Gjcri66dmHzF5z2hHn39rgMUA1HHOdatWZVo1QhMiieCOddfSZKjM7RFWQHtKN+LNxGKEIKET5zCU2Pm5U0Nvdr8+002s85KlGMkPGCMe7yVerVfvx40dbr9fTxqfNZjO96QzG7v7+vv32228HbymLNu5wn0HeGqbAEPUGncFSgzOWUb1onWD3f3QtagYEsjCXN+oe8eFEuL60bsCHl1J4Bzef6+Z9GIiXOQ7X5lU6pg9ExNPwLBPrQ+R0nC473dJ0XB6dfdvvf46Yr6+vp3dJQAcxa/Tw8DC9rOfTp0/TNde4DwBA1M18It8KcdrIVvfakvVIr/DW9XlXp621d/Gi9ojkyMIUlLX2/j0l7rfyjPY1fBgAaO3PcZxz+Lu01bA5MlTKoL/nzgBEI47MGWa81DlU83c0glq5DnS9SnlW5NBjNzoiYCPn5FFer6+v7ffff29PT0/tX//1X9vnz58PXqF7dvbzul7wdGvqDASi6Un+Bh+VH5cAwYFiOjO6VIQBA+cPY3929vMGSr2GulLPKrsDuJyWj4I5fWMnx+FI29MJrUN+QRPAjoIGNeIjQLhXL1yGXrzW2gQkF4ufMyYXFxcH6dwgwcmrOod65c3G2WBBw3DDJS60Yt3+8uVLOzs7a//xP/7H6Y2Ay+Vyumuf98SMOP+K/eAyq15FjhbHGbXNIz1wzjbTFweYoxlHZ5+0PFXd6QGRXt04OtkSwCmcfqWTHRunKltPzmoFg5wyRZ0zkyMyxPp8DkCI5K4AJ/dp7f2RGPcu7159OuefgQiEc0fTuFpPZ2dn02t/l8tlOz8/P7gbHQ4ZDgYjWnT+h4eH9vLyMjlvXPzDMj89PbXr6+v2/PzcHh4epnvUYbQw6lIHGV3wweVjAwTnh70B7q2Crp64PiJiuRR04KirGt2eg3Qjv4gUEK9Wq4Pz9JzejZIYuClI0E2VkbHt1Vmv/hjIYZaHjwkz/95NcGzwWY5o4OD6W2RLEK6zOAAtvZk819+cjY7Kxr8jwKlx3IyQOvURQBiBDC639qlIl3VQwOAt8l1OXg7nQQRkGfGBswBA5rhhFHrXEiIeFyRSmCifimzVMozEcUrhGg5lwpWveI/7HIr4R/L1nGpVjhGAwvEVBWczIA60OKPEcSJj5Qxblu/r62tbr9fTneZYq358fJzW+vmcPzYBYjZgv99Pl6G09rbWjctTAAKen58P7vbH3evb7fbgNsDv37+39Xo9bb7S418YycMI62iC6wbvDUB+fA211mvPMCuggkz8BsT/+B//4/RSI3a2Op3PTi1r32hEGTkFdprMj5cfeNOmi8sflVnvUHCGWWVVUgAAwMfHP7VsURjXke4F0TaN5IzaPAJtkb1GXbpwlTWqp57zVZATxeHli157uf9aL64O1b5pfbk0jnelDlx6DecZv569ZTr6dcBV5KtxFovF9HY8t2OzhyirMo1SL20PpLh4jM40bFSurDNl8jh+I4ar8gzEx5B0RKg8nJNhHXEGrbXDY4ZRZ2LH6Tozx3t9fZ2c87dv36Z8cPHS169f22q1mvYHPD8/Tzf73dzcTJuiFotFu7u7a2dnZ+3h4WF6SQ/nt1qt2u+//95eXl7at2/f2nK5bDc3N221WrUvX7607Xbbvn//3n777bepTPf3922z2UwvZsEObYyAuZ74WJhuLsscFtdfBOC57vgDB4Z75GGE3CjctTmDBXa6mkaPVqGc2icQlu1M59cnszysNwjjtKyXLCPL7GYTeI1c4yMPN4LDfwDLxWIxAcCobVRWzkMdqf7mMAdAXL6unXsAjuPycyXlFckROehsVsDJ4PJxOuvqyPHOygoeTq81Xmvv9/GobcT/3gkk0Ky3AUbP+H/FifCb0Xpxq+EjNAJYsmeRsWDi6UYmhwYrlKHgKCxz+spzVIYeD4TzlLGrswgJI0wdD8L5Gcd3admgvLy8tIeHh+nd5nAaeHUvj/74eBHz0p3cmNbHEgKcIkb1u91uunhFz1HjxUL8CuDHx8d2d3fXrq+vp+NaeE3r77//Po1wUS5s+lssFtMGx8xgRfWdtS2cNhuwx8fHyeFirRsjE8jkHCV462yHysaOmjd4IX40gnblWCx+nn/HJlBOk32rrrrd+44YmKCNnp6eJv3h0xOcjy5tQK/+8pe/tPPz82mmioE2jrFCX6HbzC9yOOo4M9vGoEXrhcGR29jo6jPTwcyhOpuhs0zOqStgUlLHzHHV/rhBBeehfBHO+3TUmTugq6CB0+hx4Qod9TIgfa4V4ArO5Ao5FwyMNGzEt+cgq3z4P4wEnEAvTcbbKbTGUSUaoZ7R7MnsnLMzDhqu+UYdzsnBBtPJn9UHnM7Ly8u07n95eTntBbi9vZ1G/l++fGm73a59+/Zt4oUjUHd3d22/30/r/o+Pj22x+Hn3P45W4a51OL/NZjM5HnYi3L6Ie3d3N+kQHN+XL18mgNFaO3ACPAWPq1rBO9o1P0pshLCO/fz8PDkkR6wb7BC5LbiteDZACXWBJQjIBHL6pbw2m83BlcosJ8uhZQB/BxCiumWdxDISynF2dta+fv066SDAEz74z/WMJaUfP360m5ubg9f47vf7abnp8fGx7XY/j7hCh3CLJUACbsKEriIO3y/g6tI5Qf3t0mRAVNNUwjm/3W43AWi3ZOPayf1331oGJ5MDi26PQDTzw2EZsRxZWXpUBgC3t7dpZbpGzgSZ4+izZxGQqFSmQ5AVWSoEw6bGhzvPCK/RBq7w49/Hlhe8AHx0o0vmHCphPYDjOpHTBdQjRmGfPn2aRsovLy8Ho3m8Tnex+PmWtPPz8+niEzaiuEkQgAK7p+GMWRfwrgHcv84y8VT44+PjtJ8AGwwBKHCHOzYqYic3nDKPItUYVimqZ36roWsDB+qcseKpSnUivJER5QCv1WrVttvt9CpahCtQ1nAApcvLy+lCp5ubm/b09DRt4nTl0dEXy+VAKJeH5Vf+/I4JrS+VncP/+OOPKY+rq6vpbX267wN6jFmAxeLnGyWxr+Xh4aGdnZ1N+oRjf9vtdroT4/v3722xWLTPnz+37Xbb1uv1NNuDmTKAFJYRv3WfhfvmdD39zPq+23cS2XVn+3qDCe5TPdmjuCBdutL7M9hecB/mOmXesLcjvqUMAKIrV6OM+KrU1g6BQgWVZehwruPs8XBlqxrLTCbdCT/XyUbKWCUti/IY4ecMlOOV5cFKrmkiPs7QKnjR0YUrN+ji4qJtt9vW2s919ouLi2ldHUa2tZ/XoH769KldXV1NThnrsNfX1621NoGJi4uL9unTp+ld6RitXl9fTwYWI7OLi4tpLwGMFl6sslqtphENwAqWF+A4drtdu729PSg7r8FjhoOn3XsU1S//do5OR+JsyLTuIyPL/3WPELc9vxNDdcwZfQ7DcsXV1VW7v79vDw8P7erqqv3222/tX//1Xw/0BnmzPYsApYbp9K4C4B4AV/vIBJ1t7e21vMyXwQ4Ay2q1asvlsr28vBzcbHlxcdEuLy/b8/NzWywW0xICgC6DH4yut9vtBFweHx9ba23a17JcLqfjszc3N9PG1aurq4MXW3F97fd7+0z1TEFiZE8c4HX1GeXFeSAfDcva0bWZtjPH436l+0pUj9TJc79m4F+h4bcBuoLqqI4V0Ckm/1fe0W+3Iahi4DWvXticOE5x+L8rZ49vZFwi5Y94ZKBqhJdSlgb5YIczRiO6ITDLP+PtvlW2SGb9vVqtprea8W7x8/PzybHyMbqHh4d3feDs7OerU+HgYXgxKocxwjosTh5g2hX18scff0wdHqM4TAtvt9t2dXU1Tc1eXV2179+/t5ubm7Zer6c+AqPd2tsNhz2jNELODkTAtNIvW3u/TMRtc3V11bbbra137JfAq5wjoOmcM5zX5eXlNPrHcgpkYsPK0+HgqbMXLm9XR1yGCOAyHwVdbmDC/6NZjMgWQ9/4NALuKABfvFJ6uVxOR2WxlLVYLKbZp4uLi2l54uzsrN3f30/AorWfG2Zba9NV2ovFYpph+PTp06Tnm81m0mv2L9FoGvrPII/DMjCg9VepU6fnrk2ivuBI5XH2sSfTaP8engHoCReN0lwHcR0WSlFx2NFoxH3cM6XRynOGxcnr5IzKmMlUTePkmGP4q065F4fRK0aF/N/pz2i+UdysEyJvjMBxtA9HxRCOtsMa7NnZ2TRTwM9bO+wnWMNVx/H58+eDeoEsnz9/nuoHBhJA4uvXr9PxP2xcXK1Wk0Ft7adBeH5+nvYA8CixNyUa1d8I9QC5A3+ubdAucCQYvWIpBnHhWHStuqLrAHao79baBFhxXFdHZWqjdFZU0yCMp/4dgGKZtA7wu1e2yDZG/9kO8kbIrL6gj/hu7W3EeX19Pc0wAPwj3n6/nwAD6hF9B5cKbbfb9vz8PL2G+PX1dbp1sLU27bfBsporM28s1RMlmbOvAFUHotl+KTjLAF2UJ3RR9UnBGu8fYD6V4/dKZQCghkwFcBWkYVkFMDkjFeWtfHkk4DpXZqR6gGEOgEC+fDd7ZmRRLlVa7oB8M5weMfsIqoAxDmOl1TKosdZOonWE5zrL5Oom63BZWlcOlQ/5Q/71et0FfshL9ZPLyHnxxUEAH639BCafP3+eTgNg5gAzFMwfBmS9Xk/TvZiCrZLrvz1gBvuAWYiof2keHK7th7CXl5dpGYSn4gGSmF+20VYN52KxmEa5WIN3a7vs+FhmZwec/GiHyAmzjFoOB2i1XO5/zyZE4EJtttpLV47Wfi6ftfZ+CpoBw2q1mvQSGxLxHBsbMTPDMwn4z+3oysZ2cWTPi6sDJgfW9LnanKxt9D/z1yUi/XBemi/bqQoIbm3wHgCtCDU+qsTRGp0riJLbxevIxYmcvMqsv1nWrLF5F7frxI74EpYsLvhrGBq36ow1/Z9FWqdqVJy+aHqmCEBGaTRvx6e1/GjSw8PDdM7/8vJyWmPFUS3eJOjKit98PWoGDvn4m3NS+/3bRi/cShhtpsRGL4yOsf4ftYGrK0fRcy4/jp3pZteMp2tvtQ34YBpaAaO2szOuUf6bzWaKo5vxGGA7UKD8ta3xzReAVfsiG31O19NrxyfLg8vaS5vVqwKXTOcVIIC4T/HNiGini4uLdn9/fwAc2Cby0VB8Z0AA5VYbxeWJ6jXqSxngUF2JTgJAFgemI/7cb0bs/UmPAeJbhXHoKAIO+K0XeCgq7Tm91vJ1GyWHeiPZcF57t9uF64BcTofKMjlcZ2eF0E0uDlxlZYzCqvXaMyrRmp3uTGdnWXHwWjZOr3GjDs/PXFoYG2z2a61Nd56vVqt2fn7e7u/v2+3t7TQVv9/vD04HXF1dtf1+P41QsVmQd+fDOGH3tLanlo2NnQOoSAe+mIrlqXOOO0oOQDiwjI2LanSj9mVZMtCPvow1e9duyjNy1PrfbV50dkuBlFJ2ysfpKufpwvWZc8jOtvbyqLS/079IDg5zdR/Rfv8289JaS5chwO+PP/5oi8Xb0Wq+g4OvxMW7ABC3tcN9HZktjoCLsynOb6jd1nqBLK4+NH/YfJWlJ2eVhvYAuEK6jqKCuOccrzVvTJxzc8DBdYzIIOB/tSNG8mK6Fru5IwNXQeBMbupfUXXFSY/SqZx/a+8vG1HwxDx0xBvNGiGMw1X3qvXijJUCVmx4wvEp7IrmtobBWS6XbbPZTDupcZfA4+PjlAfWNZfLZfv06VO7v79vl5eXU78CP8RBWXkEqvquwMo5XS7PiGGoOgnIyK8sxuuU0bb6Bj9+BbBbG4+cDQz4arU6mH3LDKLqURQnAou9MM0jchSQPwJuzD8CW64MI3Yrs8OOB9qHbZDydDbaxYvSZW3jQCAce0YMhHHJEvihTPjWj+ol66fzTVw30WxR5Ae17Ti9LgVEdaLlHgF5rQ0AADXUPSTkNmpExlvjOVI075Qq4hUpftU46DdkwVnkqHMinnagXgd0xhzPjwEADh1GiLEKBlzdYgQKmV3bOOfd0wc1GpGMkcGpIGYYgpeXl7Zer6edzJvNpn358uWdPNBzrNnDGQNAgNfLy0u7ubmZdkXf3d21p6en9unTp3Z9fT3J9/z8PO20fnh4aLe3t+3p6al9/vx52n3dWpviYW0cIx1sUuRLX/hVupA7IuhqpCtRXd/c3LT//J//c2utTcCH74HQy2yQD/9mnY8+qFfsEOe20ONT/MyVQcEGA64qRbw1D/fc2Rb9dmCViW3LYnE425jZ6Iw4D7bjke2J7J/GGe3TqoMKHKLyRctozs44efijmwmjZQWnB5GfQhhmcrUsOlOq6R1gcHVXoeF3AbgM3TGenrL0FNuFgSdXisuLebpNZY4/G3N1xFFe2J2s55S1DGzgorK19jb61w1Hasx4xKc0YrwczQEXzmC455EB1N9Zmiz/zOBl7e6MBEbmuP8f0/lwWnCqeMkTnD7zxMyA5g3+vJTTWptGK3B0OPfPLxg6Oztr379/n+T77bffDowK+iJfOx1NfWY0qkdPT0/tjz/+eHdmmc+iQzf4uGVrbzME3AbRpk8Fx5qO6zjSHXcagvs/eET1kIWpPVPZFHREpLrr7CU7KQ539acyZQ60+lv7aFRWVz8sO9sz5sUbPyMbX5ErKkMEiFhm9y4N/Q2Qv9lsDvaUKEjgNCivG1iz/iIOy+TkVt9UPQ1w8rcBRv8zUDDH6Sg5BcnARSSDjgiitIjHm1U4b8Sp1g2I9z6oknC5ojqNUHNEKqtL7+R2pJ0YBAXW+nBtFoE+lpHlcZ03MprMj8N4lIMb/DD1//LyMjl/jGgvLy+n/zhzf3Z2Nt1MhytVVRYYOx5lXl1dTQ4bhhwj+dbeLifClDdvlIKBxDsDOA84fdUl5zAz/Yj0h9sTfHCOXvuPtgcclHvGF9dwH8ZMAQObrEysI629N4juWdTfKyBA6ylzUBFF8vfahzeKRY49csQZX/By9o3rO3LuThbtvzrDwOnx0qvFYhFupIz0s6LTbrmxB4rccz7hgGUKV2bNi2XJbKHzI65MnK7qU4cuAooYO8RXoSoYiJyCc7Qsp1aiyqgAIXKormyswNEFNyyb6wgsG4y17vpEmLuJ7KPoGP5cX9GMSkWXHLl0zsFFaaO9CUiHdsR5ZtQ9NvHBceFyH96AhItTcMMa9gFcXFy0i4uLaXSAC1Na+zltzuep+aVAuDnt8fFxuq0QuoGTCdAL3L+PXfKttWnm4OzsbLqVjeuCv1399+pT06xWq2lfjDPm+uF9AD3eDjxyveFbQY8rp+of4vLxNrUtjodS73kUV8tZBWZZfupI9FnWRzhOpidqo5R/1I8jJ6o8VqvVtG9mvV6HGwSjsmTljOSs9AeWF/0Rs4JnZ2fTZV06Kx6NyNU/ZPavoh+jtnvWMUD+nRljjqvGWwXVStD0zmGMggUFChEPlz7Ki1/S4sqRTdc7fu7SkFGA5VB5L662TUVe5YMPg6KozTSPrI5deKXzIj02auLSHFzHiwt94HBxPrnXWVt7O7KEDXv4jXJfXV1Nzn6xWLTff//94PraL1++HJz1b61NMwcwHnhbHXSCb1G7vr6e9gRwfePYH6/7O32KRmhanxVd4Gl+/Ff9Yx3jKWvmrZtd8cwdLYv6tbaTgoao3/MbEzUf57AcD86/ZysdP/3vdDzqI1VnHVHWf1SmSOaK0436s/LEgAe3NGYyVm2Bk6dnJ1252M7xFD4GBVxO3SCOME3Lz5j/HDA3YruHjwFyB8kcsjot58Qc8uMC4L9WlJMtAiQRIHCAIwMUGpcdHC76cKcBojK4vHj6P2vsKnjRdO4/wnh03KuLHkE/+OUUrbWDi26iUYsrWwTeNE8nI5wgE45x4i17mLo+Pz9vnz59sg6FHbNzcFyH+K86xsYBF9BoWRggQLfOzs4ONgBiF/z19fV0pfBisZjOsYMnyub2AER6wL+juGzg9MO2IWqnzCnzcwVizNudHmDAEDmoqKxa/44UGHB4BBp7oL1nwDPwUXWIWb/pyeR0pGePI15o62x9GrYUwLU3Td+r3zkU+RMlviKcwS/3Be0bbD/c8XB35C/yn07W0fqYtQSgGWmHd0a4tcP1HhfPUVZ4PM9ARdaQriIzkOF+t9YODLvmmRnSiOC04DSifE+h/JEizuGt+qFrq64t1dkqWuZvJ1NkkOE0n56e2uvra7u5uTlIjyl1Hl3jNb7IE+2gToFBDdb9P3361F5fX6c3ra3X6+nNaSqnA2RqILhudrvddLdAa20qC4MSyIPpR+1zDmxENBIXZWCZtVzMV8vLTluJd0kr8XvPI8Dh6lz1BPXoypvZNNZz6JGSyzdyrm4jddT/HA8tf9Z+UVk53wiIj8rDvNzMj8qNDbVRWRwgGdHVSG4X7kAH/3dtCvAC4mOUTk/ZDsLeYGmBjwhH9kPlHu27sy4Cwn9noPk7cppaKB05uYoFIS7fsqYyRY3lnE+vjEzOcMH4ueNDlTyUmK+iQS2j4z9KDrhUZNW2jZx2hFCd42fKDJu2s6bHs4eHh2mqnI/MPDw8tJeXl+kqXUbkKhOOtO33P9fe8RpVdGx+gczd3d20Xr/f79vd3V27vr6elhnu7+/bYrFoV1dX7e7uru33+2mTE15Mw3rKR45YJuhba+3gWJ0DEzBIx4BFrVsl1X8YPD4dw+BGTwqAh9PDah+NQIDqoVsGiGYaWBYNy/KLACsDpYy32hitk8p/LrNzZEpVh5ulc+G9Pqrp+WSM6nSFonJqvxilCGAiHDLzkh3SRaDY6Uk0SI4AdVT+Kg3tAegZ3arDiHg656qdlY0dkyp6hthZdhcvUurIGWETmO4DYCfu6koBijp/Lc8IsquWqbX3t/XBqUS8tBxal6zM6vAdEIz4u7xdB4h07/z8fLqpj+Psdj8vk8EOe5UF33gjoDPkKPd2u53iwNleXV1NzhvLDNjUdHt727bb7STDZrOZ5MROfuSHG+9Wq9UEWtbr9fSKVedQYXhwKZGOlF2d9sJ7RoWvZlXggfrFOwlaezsGqEcVUa/YV6Ptqm0Ics7Tye1sA4MC1SdnL1xdZXGieldyfSfKp5JHBSBEpIAhcjojeTie2lb6PzoKqqR21Okrx9FZMZz26ZEDF5nuuVM4qmvMt7X3S2JzfGprH3QMMFJ+FFbJOa8IofUQaiSDAwIViiq3Z/QiA6Pr987J9yi6LKiqEJGcvWfs8EfycLJyej65wPkqmtXf6rC1cylFRurz589Tx+az59fX1+3h4WF6nex2u51eQ5o5HS0zv6kOZcXra7GhDy8/4dcEPz8/vxsFO3CJTYR49zp2/19fX7fHx8eD0wpoPxg3vreA69XVnWvHaLTj6kHrq7V2cCERdnJj0yVGSygLjlri1MTZ2dl050Frb+esUT7UG7/CmXXK6YobVLjBALdFxdZwfiqD1qPjreA/24AahVf7rObL4S5u9lzjcrkiWSKekN+NmpkyGxDJ49qb7RLPVLn8sjK4ONqeCiyzOuDwbMOq45Xxy2j4JkCdJnWZKSrS35HQHA8Kka1P9wqZoVf331GGJpmHngZAvP1+f+Bc8R3VhZ6ZhwK5JYZIvh5lihKBuSohPW/4Q7jWG9rHXcDCco4qNncOvByH88PIHoTX87JRcHquZcQI/f7+fspns9lMJwPgtFt7O8/PzhonD9ysFtKfn59PgAI6hrQIQ9mwERWvV4XT7Rlmpt4oy5E7AcDtqiMuV1bIDb3hWQAAoPV63a6urqbZkNYO31IaOV3Ij98MLCJSA+sMrjPomb3R/p/1a2erHHBxckblcTI4PtG3iztnwMD1pJuPXb+r2GmmqA2cnO7NlVXeTicUxOgeHf0f6a3y14HCSNtnNHsPAIdHBYgMeyUfVKRujlFFVcQfyaLUM4gOxDgZ8B8jEh3FZ2CJDZcem9PyMxBQqiLjKH6EUEeIQQvLyADJdXbtAFk7MkDifLUM7uYsNYCaptchWc/A//b2dtoJvFwu2/X1ddtut9MU/e3t7XQeH2ea0a643W+9Xh+MgPnoIN4XgGt/UbfsUPn+CPCELu73+4NNgXMMXQYIWO9bOzRSAB8MSjDlz29TxBLI5eXldGUydANAEvcocJ9kkBYZQuiCA9V4HoFqloH7qbMHbqRW6VMZyOjZHKXIWeNbn/fKpPXVA+aR3BmxPVC7obK48kayZ1T1Dz2C7un+G8jDQKAKwLM6dDyOLUNrgwDAGd7oP4dFCDKrEEXGDj33ZHBAoSerypsBH3yjsWGEufF1hBfJot+Zwdbyz1EEVkxOf8zoH6QGWvNAZ8+Qr/5moMT/Ix5uFF/ROwfaIuJZn8Xi57l9rHlfXFxM99Xv9/vpWB8DosViMY14Mfrl8uDcP+70x5o+ygDA6fYB4L78h4eHyfFGOnXMCIvrjIEX6h43owGcAMy8vLy0s7OfN6gBKCwWb8cjcf4beyrW6/UEAri/RTJxudiZqWFW/eI60qOGEV8NG+mbrBNuVFehzC5n8rs8HWiI8mL5K/3GgR0dEfcoAjhaHs7DUQa2lKcjd+FUa29HA93Axh0fdvx45lvlcadijgEGw8cAW8vXJFycXhhXkBYiKmyvwM7hZnI7XpECOSWD/NhQwkhQy9IDIK4Mrj4iAORGH1FZsvCefI7Ozg5fbwunjREs4kTyRUBNja3+f35+btvttp2d/byNi6eIdZd/T08z3WvtbdoQzjbqsJwXX+Hb2tudCPv9fjrHr0AMcl9dXbXNZjNd+cujUjhW3A2AZYPW2sGVpOr4HLlnGqZ1wk4c8QBIzs5+3rfAbwPk/sAXISGM4+KOA5SRHb6+LtzJHvUZ7k+RzjmjWjGyEZh1skSgISKOF9msavpIvoxnBBIywOPsLrcB7AOHg0/PSWfyVe3VMcQyOjsP4jpwsxxcfi1zZKeyPjlCw0sATqEzo8px9ZlzotwhM2dcQZuR468i7V4ncA5eb5PDei/uiYayKK+ojL0O0AM1GQioGhwubxaXnZLu3Yh0I3LyLq0zNIvFz2k4TJfj6tzFYjFNq9/c3LS7u7vpLD3aifnxFHsFbLXWDkai2EipDoV35kdOpZIfrhkG79vb24MzxgxEUCfuGGkPBFYcAadzhn+/f3vPO7c7AyF95wX3mf3+7X0IANMATJhBULm13higqXwcHtWD8lIemc1z9iWrY04XhUX2qmLHMv4Rv8iuRLwy/YniumO3PTmj8qptyHhoH+3VSwX4RXIykI/4uhMtXDeZjVSZqvKBZr0MyDVoFdlqQ2khIwQOGkHJGt8hq6gMzIs/+hzGnx07Aw84Ghhono5Fvu4D0qkmBU0Vck5G83DnT50x7LVJBhqiDueceq+8/F93+sP48wa4/X4/Hb9D22Da+eXlZZp6vr6+bt+/f2+73W5yuvf39225XLarq6tpUx7antuTnT7C9CREr1xupK5HQpkHzwYgb5714NcBV4Gvtk0GQrkvOd5aNxqmjhqGj78dP+gsH99yuhYBTmeU1QFlYCDi63TegWDu5+qMMlAYAYKsXU8NEqI83G+No9PjmWzOsaGunI3pye7iKr9e+t5zvexI+6jm5drT6UIEbiL5q+0463XAnDmHR4jFxdFn7n9Fjl6ayLFXHFyENLUh3Tno1n5O815fX08vbIHj0MZUMJCVF7+zy0tcOtcODqhFBkfTMjHg4bw0DJ1BN/84Y+CchpMdYbxhq7U2vXyH1+G5/pU3XyyF6WesXy8WP99Ghinr79+/H5wcwIwH5Gjt5/Q7b97b7/f2KmTdoKeGwu2jiBwHvzEN+way/tFz7i6e5gugpXrDbY065X7HTp9nMrheWnubQWNiEBABi8zg9vTa2Qen906uqjPJeGV8IhBWsRtZfhXKwE0mH6fX2ZdRwOH6SZXUPjl9yfLsydSTzekk/472CGR1XmmTjIYBQLQ5T4VxqGyksRxvRw41OR7c2FV5eg0Jvth0xfF5JMYbtRgBq+wRKOFysbJEdcHldcrZWns3E1GhqL5YJt2ljnTsMFwbRI6/QrwDHlPLV1dXB/xxbA6zMHA4/NIcgAUQpvWxS53P8PObwLDJjc+l4zjgw8PD9P3bb7+15XLZfvz40a6urqb9IrhtEDcBYgc95HcX+nC9Qf+wsQ7lZUAT9ZMKCIjaBHruHC7iux3efDyQ4zLYcdP0ruyuDAyY1LhnRlnzcvEcqc3j3xEo1z4fAd4oX+0vFfkieTJZHTknpc+z+uw5qYoTGwUOx/CKwKSm5X7GzyNbj+c8Y8h56kCF+Y3In9HQHgCdJnZxojBnHDhO1Alc53J5uA6eOfsecuJ8ddcxO1d8dNc5G8CoA1eV3JVD69LVb4Ymuc41P6YRZ4y8eRobpGvrqtyuLHDm7pIiTovp+ZeXl2mUfX9/P70wB4T7+TEyxtEz1ANAHBwwPvf39+3p6al9/vz53St9UTaACfyGLAAXu92uff36tX358qVtNpvp+c3NzfRiIuzaxzE5TG8/Pj6229vb6TleUYwpcL4MCLMeekeAa9eqEc50AHteIucVGc0sfmvvX9nM9ayUARTly/lpPOXp+FWMbWZX9LnbBc/9IHP+VXki56XPHRDQtD1eWj4Oi0BZVL4R0oHpHB69cvXqLwNGeqTU5an2T2Vz8SNAULXbZQAQbdhg4TTzXqfM4madUhUoQ0XasTKn42QF6IGhU6ePkaemizpUlSJHPgd8cefLkGjGo7UYzHDc3W5nHUJk8NkgRAab0zljulgsDjb4tdbap0+fDkDZX/7yl2mEDge/WCymHews5/X19YEjwju++cw/ZDk7O5uO/nEaPn+O44LQIcwOYeMb3lWA9wjg9cUoAzY3LpfL9vT0NC1F4G2AUXtiz4PeTcFt4No5I24r9A+eBXDt2zvdEzkX9+3y4GeZEY8Ack8OpchhunQuLAIFCuIjeV0ekZy9OI4i8JfpiAPwTpYKaNG6qOYZlaFHbB+jfHp84Q+ieFF9Il++kCiyh6NtWKH43ZcJQ+dIo/jOseuzyOD38nVhKpc2bPaf5WGjpvf54zmm+CMZWTkrKI/T95wxy9+LE8nmZI34q9Fz7YC4ujzBywLgxaMBnjFQZ8LpGeUrGNFOinbDb5yxX61W02Y+5Kfp2Lm11g6WFvb7ny/5cfsJuEPDIGCU/vLy0m5ubtpi8fbaXlztu9vtpnsCVqvVdMUv9iFAFi4jZhdAmHVYLpfT7IAzOlrW6HkWzs/1eKOmjewE6wq3kw4KWHecEeRd/q6/O3kyp1YxvBXwwhQBDQciuJzMW8FQ1I9dWTL7yvkdQyNAoUqZ/jobnrV7RFU7i/Co7bTN1D650ygsd7Q5HL/5vRmanv9Dtup9LrPuAcjQnqsUfpZVrlNE5dPrvPhWuSKH6+QAwcnv9z/XZfka1tbaZNjdejz4ZI4qotHOmJVNHbfbOFWpl9ZiQ6EG211WoaNsBVMRKapm544OoLzRAaKRp9MlPceOZ3DGyOu3334LDTJkOT8/n86vX11dtcfHx/bp06eJz3K5bJ8/fz44Evf9+/dp5gGj/OVyOV3rC/CgG4XUYbbWDpYiAERUD7RNe05C64vbQ58zT+3/2h76G//VHrBucXupDO4UhTppVxYuTwR6Hd+oPiNy9tI5f/7PZdD8qvak2sejtKPldDzmgIzM5midRP1B07FM0bOKHMpDlz5V//i37n9xdtHpieMVgYAKzX4XgEPFUWfn/67QPaXPCuQQcWR8oo4QyYZyY5qfnRVfBoN46gzcx8kedYyeQiqPqF1cfqMGIQNu+Oad8IpCtXNmPEHRWW18OyPPGy6ztBoWtZ3Lh3f64xIejGKhB58+fZrS3NzcHIxiv3z5MoGBm5ub6U2A2BSIWQrwQf673a799ttv0zKLIn6s/7fWpsuYdNOpA39ZO2Tt7oCl0y3UWWSc+KSA9kH+r+/ZyOwEA0HOx4FTJrdcEpEz0Jmd03QZWHE8lbRde3ZE83Jx3LPMbjon7NJp/4oospGOeoCy5xMiZ5vlF9VPa4d9QPPttaXbXxfVWdaX9XePhgEAhHUdlZ9lzpsrRZW/h3ijMOWdKXkkjyszX+2YGRoOY9n1LPoIRYgzU4ZeB1MkGSHQCq9IZtYF5sX5RKcBmE9r8ZW+mkbLhbCoTFF5ozJFjhOb9z59+tReXl7aw8PDJDf6DGYR8PIfrP3j+adPnybntFwup+UANRyoB56RaO3tFARmDBaLxXT0VK8mzQx9hVTfefpep+N16t7pneMd9Uc9XcLtwTw4LLIvLu/KtGmv3jK7o/F6RjrriyN93tnViDJQlcnn5HR2MbJpLq8RHXV1oA6+yi9yrJmMvO8nkisCSfiOwLOSq0fV82pZywCA3z/ODctHejKEVClY5vxdR84cCMIiHhVF5xFUVKnIQ29dc+AmohGjHCl5Bnx6+R3jDHq8nbNn2TMAyEcneXbBGT91HsoHv7X9+TW9rqO7OoVOnJ39vOoWG/RwogDT9bi//8ePH9P0Pl78c3l52TabzcQfswj7/f4AEOAuAd4LoLMbAKog/Fagww5Zy8YOsKKPkIUBAD5u6YVl5XbSmbNorTRz5AoMMhAYARDlyXWh4FXLFtXTqAPL5IviZ1QBGVG8SrooXmSHRsBFFN+RA3vueWuHJ0kqZRwBPxwfNsuBSt3Po+FuH1RPrrk2vAwAcGtatGnKGYMKOSSjz3RU4DreMSOLnqIxAHA8IgdXrYMK9ZAz5zlXGbKRVRQ3amt2OhxH47s8+Crh1g7Pjbf2/uZCN9JQJ+OMuO7fcHrGvPb7/TSyxlv6Hh8f22KxmHbuL5fL9vz83DabzeSYcY8AThz8/e9/b09PT22x+HmlL5z6y8tL+7d/+7fpIqLNZjO934BPV6xWq/bp06eDZQDc+8991I1IohFXRZeco+ebMBnsRU4FceD4s+uKuc61HZwzVkBTGVVFNiUy0g5ou/+aTxS38lwBbiSTyufalp9lNrMCHnoOyg225tqmiHp2n+OxjvJSIdctPnw5FfPI2k/BLfJyOqlyZu1aselO9ys0fA+AKhUjHgisO6y1EFGHae14xXMKUamMKlrWuJkDhAKxYp2SRg2JPnNxsmfOGTiZuA2iTZCs3Mo7mvLX5ZSs3pmvW4oAP3ai+s26jc/Dw8N0ogAdHqcKNpvNxBOvAd5ut5OjYzlubm7adrtt9/f302bTi4uLdn19Pd1h8Pr62r58+dLu7+/bly9fpp3/f/zxR7u8vHz3zgl3T4XW7agOZn0CRxsBehwYc3xcH3XgC2G4E8G9X0DLFDl0lSXT+0o9aD7OyfWAQmQDM/uY2dGszBrfAYVMVqUeeMj+jzioSjxnK7ReoJvr9bpdXV1N/7VfArS/vLy0p6en6Sit5qOkQFsHMNVZBwYkOqseAUu2RVm7OJp1D0AV+UXKxXGjsEhZs/x7nVTJyZkZKtcxsxGP8hmlkcbMDEjE1ylSlF/UphrX5csj4QiVc5hDva6NeH+AM8AuLesSI33mx+Xg5Yfv37+31n46b4zqN5tNe3x8nOJcX1+3p6enAxnwql+m9Xrdrq+v2/Pzc3t5eWl3d3fThUbb7bZdXV2119fX6ajg169fJ+DBZcSaP4wZZiGi9sBMAurRtWGkPwyuGOC7WQZupwrvDKwsFm/HOHHdsXPAWhYOw94LpNnv9wfGPXIYDhT2AKjy4TyjuFpmTe9o1Nhz3AggjpIDKpHd7dlZ5pM5vcz+cBynp2hvHJVVOj8/n4A2TvDc3d3ZY3gsP+uEtnXkv3qyuzL2+k5PZ5RmvwyIKzjqtFrwnnCRA+ffVWV1aVVGR04ZgbCUXzQjwoqX7WQf6XjOcCqfSv1GKL8HGqqo3eWP626xDq715hRc5dQ2yNBxxkM7qeavSJ2f4Zw91ubPz8/bly9fDvJdLBbT6F93rSMeXt17d3d3ICNmAs7Oztrj42P7/fffp9HIzc1NW61W03++F2G/f7ttEPXC0+yuf/bazemKPmeH6nSa22ax+Hnz4vX1dfvjjz+mOHzLY2/AgM2PbIwjHWZeOJbpdPPp6cnyieqhNyjgeA6UZOGOX7XfzY07kqbHjykCaUqZQ1M+VeIZNdyIuVgsphm3b9++tYeHh3Z7eztdv+3o/Px86ndfv35tz8/PVlYHFF1ZnL2OnnNfzmya000HNiMaAgCRkiqy09+VSnG8ojgj8jo0lSl9z0BG5YziZgatBwSyeogc2NzOPDoa6LWTGn+MinFHP4MAxwsjc6dLrmPoDINbeuDRHjswxMe328TGI/7tdjvdJqjH/7jjYtSvZcCLhHDUDx/IgyOEWJ64vr6e8oUsfBKAASkcPwCIHgOEHD2npe3J8uPDyyfI3/V1LhvqBUBns9lM9Yb8sR/C6SRmORDGeuL0yDl//MbsifLgeNnUKtJEx04hH75RTl0rrvZ/Dj+V0x4B/RHg5u9RW12RQeNFthSXZ+E9G9omV1dX03Xa9/f37evXr+3333+fjs5GhLeCQid7YFfLlvUr6BDPRKpNz+rE5T2iG7NmAHSHrOt8TpisYJEzdTzwrU4GcdUg8uZEHTnpJg/d+Y9wZ9gcKOD4aFg3EuMyRHWiBt7VV0RZ583iOifeUyiuf7fWhd+8qU3bg/eNcDjvjNUOvd/vp1F5a28vwEF6bmOUEfLxcTx13CB9zfDt7e3knBeLxcHdEAxOuO3h/BSwtNYOAAjXHV5NDD6fP39uu93uYA2cXxGMegAPPRUQGcyKPrg2Rpn5PQCZPu73++lExP39/RTOU7PcZwESLi4u2uPj48HIS/svgw5naNURsJwogxvZad/k9sM0MXg78ODqAN9qE+BYXl5eDl4fHc0g9uhYgMD1GNkeZ5Nd2KnkUZ7MG+++4Bs+I1t7fn7ebm9v23K5bN++fWs/fvxov//+ewjgkCeW4nRWT220ggKnQ658mf9TWTJAMVrPQzcBOoHxP6pAkFaCVoYL0wJXK8khKf2G8YXxwYiKN3yxA3Ed1zlIdvoYhfFITOV3wMU5btfIvc7ZQ8090rzV0Crx6IYdoxr3HihUYMkggb8Rh3f0cjjLzbfj8a57nG5hZ4z4OlLTES7rB+77d4YnqjM3esJvzYvX+hX48tom7zeIziUrjQBMbluMuCpvlnR6xKNjENqD83I6w+CN9YuJ384YlQWXL7H8mcHGJU3RyZ8oH1AEZBeLnydJAJBwygNt+PLyMs2WRLIxvyplzjJyLJmjH8lH0/WeM2Gj7eXl5TTDg3pS+9zam+3BN14ehg23eJ9HRAp0Ix8Q+bDIlmZASetD02RAraqbs2YAVKFdZpGT0AqrKGuEfBxfZzyYjxoMNl6chtPprX/c+KoISAcA4Ayj23ik/zNUWG3cY1C3yyvih86I65LhvLicOgKK8tG651GQc+580oTBgh6d4xFra22aiUDbclvBaejUMb9GGDwZEHLbuyUMdnxar6qnnE80ktC+cHZ2NjlkB3wjcKL5slxR23DdsbwuD351cgR0OT7CsblSy4y8WDYHTnnTZGQ3oK9YQnJ9E2mxSVPfsljtj1mZ8Qx9B6crNB32LGhdOVmcfamAvcyhzLEpUb6ZHFmbLRaL6a4M7C8CYO9t6oQdgG609hN0KgBQn6Oyab27PWIuvgNMEYjttQuD4wiU9WgWAADBCLR26NQiZZnbUTJjqfwdInIggBuEHVY0knGNlXVA8OPzpG66MqKK443SjACECP1rWbI8F4ufMyjX19fTtOh+v7c7trUztdamzssy4eMuuOF88VuP3eA5jqchbzzjC4B4WnmxWEyOn/Wb02ITHm7gg6wMJlgWBo7sEBGu10wz4NF2UtTPsxqr1erdLJWeoc/a2bWt+80zMtiY6NYwtS31hAWHRzNkjtC3FAwwYY+G1hvrIsKwsbNnW3D0UuvP1RHnyfEjp6YASXnxMpnaHOaf1SHCANi5Hrj+td0ivenZpagsVYr47/c/X8jl9vkoab28vr4e3N+BsIgYJLj64DzUB7pvbh/WQacbGYDLbPMISJv1MiAIoJ0J4drwc5SgYpScjK4TO1CCBouMLOcVdQD+zw5EwQXH04+TS/N0ZRlpZMdD14m5vPit9eg2lOF7t9sdvCGP1+4RX0eM+CiI1PJrfm6kydPJuv6tnYbLpjNYy+VyuqFPdVwdOf4DMOA2P8iCzUX7/X7a9Ib/ygOyIC72NvDIRmUCL9w/AB44pYB9AVxH6pw5TUSuvni5hdOr/kdG2S1NaNoIBLMOcTjqj5djVIdRpxqGDZaO9vv99HImlaG1wxtDtUwqm+oi84NcblY1qkd9zvoagZSbm5t2eXmZOhz0M17+hIwuHPXg6kfl7emHi6vEt11mlDlI1aPMt+Cir14+ChCiGSWepVNf4Oqptff3CfRkrtDwHoCsY2aOV3lU8qrEbc2/MS7jrYhN86k42AhhO9ldmMsjKnevPuYoQmS0XD5Zu+52P19Cgxvy4OgwtcqjRb50A1Nx+K1AAO242+0ORmiM5Blg8HW5Dmi5tLyxDs/h/FFudX4g/g3ngfv4dePifr+fZka4XrBGrc6MDQLzY8cL2V9fX9v3798nPrphLupzyEPXoyO91m+0J2TSlxM5ftz3HM8eQR8cSOY20tMXoNfX1/Yf/sN/aNvttt3d3U3hKAvvP0B65MHLCcz7+fm5PT09vdvdX6lD1i0c70QZon7ubEZWdw4kRacimNxeBbVnkEf3SGFaXmeyWGZXtkj+Y573yIFqJey/cPngv54QwLPIzrt4ji/3F9Qzz5i5/jRSF0fdA6BOFFStBI0bVcqIkvfSRKjLydbLL4rnDFSVTwSYIqSuaThOTxnmPItGLvv9frrnnjsVPrp+z87MfZAX1me1k7LjZOXHlDRG4tpBdNSSIXcd+fB0fwQedRYEz3H1L5wyOrJuPsQ0/tnZ2bTZjEEEZgfA8+7u7uA9AhcXF1M76B4UrivUDZYxtCyaRh0XwIuObDk/tB3SOb1VPXXtxaT7G/S5eycH2u/5+bntdrv217/+9WBHN+sN8law8+XLl/b4+PiuHwKERXoEysABk+avzzQeh3PdZUCkAraYX/SMQRfzxC16rf0ETrjuGrIyWNBN17rJOgI92f+RcgFkZ+XFHoPMprolTGfL4bydn3Ltq3oDXY76R1XPQMMAgAWGoXIGIlIyRcJO+Oi55s88e4gq4qW/I6Pk0mR8nEHI4p2aqp0cFIEQPFOF1brRKWrVB90Ux880bmuHm/sURPD0MzowRqO6UY8dMdb91YHwbuvX19fJibLDVqDLwACkb47UjUlcz5Hx5BkS3fC12+0O1vmxlsv7EfDNgCVqa5x8cQ416s88W8NtBEeodXR5eTlt1nLLThVy4MLpt66TcxzsR/nx40f7b//tv00vcQIBzLCh5/pCeRX4rdfradTrlkGYKoCb9VUp22jm+qyjqH4ymSpx2C7w6PTy8nI61urAndaVLinwB9djo64zXejJrgAvoufn5/bw8JDacPBR28Xt5fYoOR4MFKIw1RUGsoiXLVcwzd4E6BpPjXWvE0RI3jlhlzfzcBTFiZQjalzl0UvvnH6mOKrIinqjkVOFesao2kaRwVDgxOGc1hk1pHFGwcnGGypbe+sQ0TluBxp4OQLx3FQlHCmP2BEG0AHHp+gecsKZcAdlcMLggKdPo5GPA0p4lwAuvNENhdom+K9XE2seWo/at7GTmo0dtwP43N7ets+fP7eXl5fp9kMcZ+N13My5cbgaN9YXtInWG0b+rbXpWuWrq6sJYEE/sYyktNvt2o8fP2ydLZfLdnNzMzkmPvarm8Lw28mu5VRyILRnk5zd0+u4s/yjfqjptRwsJ0Am84kGXq2974NKAJGbzWaaxYnKXrGRbAs0/n6/b/f39+k1wJDJLT8qZTa9Irf2EfQh1YNsaVfpqCUA/Y3/rKwOySifyIkgvRuVKPIE6YjFyc6kI9Meqoycd8SfyQGbSFEqo4UKjcSt8NIyRGjeIXt1YDy1r2l5NJU5pV4cyKajT03jdOjs7OzgJTduOhvfvLaPmTGkhxGEoXFX6II30jIwQDxe98dzNwUNGVlejsOOMjNEWtcMpJQHnKgan7u7u4ORNvIHb6y9o6yr1Wo6oqmbGBGf84RcbMiZ+K4H6MG//du/td9///2djmJ5JQIBeHeDM+ScP09no614jd8BfqZsRNobHLl4yIOBodJ2u51u69TZNz0Dr8t5zL+1dnD6J8pPqeoQoX9YDvvx44cdAGQ8mNyNgaDHx8fu5j+WXXVSy9ULU+Clg5NIDq0f5tGjo44BRkY/c+iRcOrce2l7Dt45KufcI2TeK7dLH3VoTpc9OzVl9VjNLxqluDqNnIrKoJ0Ev9npcZgaJeUdffCcp9zUuHE5YOh4FI7fPBXJeYN4hkENJcrMebjpPKThI4qQDc4cd5dzOo4HZ4P1at6cxCCl1y9dffL0P2/qxBsPXb9o7W3phWc5eCMjAwi8Rhm3u202mwmEcT1zO+C+d4z0IYcDffv9z5c64Y1wLLNOj/Oz+/v7CaBwuzlC2/JFRGgb3Iio9484I85UsatKzh5VAEDGC79VJxCOvRZoTzcAHLGZGaEvfPv2zS6zRf9B2GfjCLNVPb746N4FtoUKxpDW2UV9xuCfn6lcPBMX2WxHR58CqKRhwbkyIj6uopRfljZy/lGeyl8bhhsjc2RRHVQBhWu4Y4BBtZ16VFEodALkG4FDbdvWDpU2AmpcRxlpW6vjwG92wiA23Lz2r7ucdZ0fZYDh487K385w8miKnep+/3ZyABvU4Ei13iHH+fl5u7q6asvlsn3+/Ln967/+a9vv99MygdYv15nWt8rJ/7HcwEcb4dSZN5YJ4MDhEFE/eq8/76G4u7trt7e37bfffmt/+9vfDsqr8i4Wi8mxsqy8T4H7L5yGqwfUterebvfzVdB881y1b3Ld4SU1mMbm5QltA6aeHanKE4ELtzfDOaeMdACg+1s4Di+dsVwO6Gdlu7y8bI+PjwfLOVXC5WWcT2s/9fDu7u7dDBQT58P2QJ9zOTC7B4cdgXC1G1n8TK4KzboKuDU/RahUcRqaNkNGmfGK8s7k0zyz570wJ9uIgXAOLuM3YoAcRWkrdaEIPksDw+fK4kYCSDMHZFbk5zVQfPOUq8qra/Stvb+4CHWAESeDADelvN/vD0arnBfLpvsX+CpklAPH0yAzzv+zDJq3glkHrDlf7kNwrPw6VZ2t0PrXK5J5IyPywaZG3jehu+61HJATSwZ8vA2y8tosp+Pys7z8jgitk/1+P+0Ix0VDbnASAV2uH9z0h0tpdC+J8or4RzahYitcv6tQ5rg0X8fz+fl5GrUrOHY6jzZhcMx5XF1dTTNHvTLiP0b/aguw3wOzIZk/wnN9cVVW3zyYyOpW8+O66smk6TM6agkgMuAqFCvCiBOLGk/5qDyaZya3yhrJxmCF5ZjjiJ3T6tVDhQfkGc3fPa8aA5fOfVR5q3n15MhGTJEsztgwL9134tqeZwLY0cCZsbNkfVO5EN7a4UhCjx26+nPlQJ4wTPy2Pc1L1+tZJjbCqBM8xyj26upq4rPdbg9eVsR5YXp+v3/bTc8gBYZe2+D19fXdBT2Qhy/N4XdDRI7S9Vd2Wpyve88A8+SXWrFzcjrf018ACYw4o/TaVplDj5wQ67qmubm5mdqTddDNfrl8NZ/9fn8AkJj0hErPHqE+rq6u2ufPn9+1Ia4gr4AflA1LTFqOu7u7gyOikW1m3eH6jmZYUPfaRnjONkdtudpQlwbx3PtIMioDAHX2WSWjUzsenN51UJcnk1ZO1snU0CooiMDEqDNVRJjF7YWNACSXxtWHOuCKbFk9R3WuDknTsyzZ5iBntI8h3cSkhhDy6P4APIMxVJ6tvb/pyxlw13mZOB7+c0fmPJw8mV5F+fIshjqu1g5H9dym/P/l5WVyljwKYh5w4AySdIc8ljZ06l3vcnD1xXe6c95RfSBO1MdhRLGxzNkoBWlahzxLw/Wm+XA5r66u2t3dndUXlT8jLSeXwQEAxOHd+s4uMgjAb3zrRkfVZ/2OTjNktmm/37enp6fpunF+xn3X8XO+C3dsMJ/7+/tpr0fPVjNvBYsOEPFv3uhb2Y8T9eFIpyvAEzQEABx6qVJUeZnQDBQ4jOP3nIQ6f9cZdUOFPneyZ86eDbXK3ttR6vKpUFUBWIYe2JjjeDNj7Np9FGAoaVzWC3Zc6tB2u920k51l4l3mPCWtTp0BLD9Xxwwj2dr7t98pDzayHE/fOQAnxe2tOuwcl+p+1DeiukNcfg2uAxEwanrJUDRrAvmdDKonnI7fO5E5WK5j95/bv7V2cMGR6hrH5XZz9oDrgfdNOJ54vXAEDnVJIoqXORNn+zJS3Y5Gt6CHh4f248ePKY8I5Ec2LZI/S4c02YBC467X62nzH8IeHx/bjx8/DvTT2cPIF+A59weV2ekyZHftWdkvoHxH/fPQEkC0zqcF4zDenchCciH0mSu0AwP6jBvIradi6hIbhkaVTZ1/1TlXnXmV3xzevbyi8lYdsXvWU8Q5AIP59uTjDuKcogOQKj9vBuT4eMa666bV+ZmWQR247lrHc94pr3rtdiln4C9yqj3QxEsB6/V6mro+OzubRsscX6dQFTBo31Y5o+dIz2921Djct3V5p+cEIStGxFFfd/bIOYj9fj/dgbDdbtvl5WW7vLy0cuM9BQ6kZTJwfloW5qFT8s5ezyXWH14Oc7Rardr19fW7DbXuo+miNs8cJJ5Dptvb24OlucfHx/b9+/d3zt858Qx8RXlG6bQtnCPX/HlTqyPXvzKa9TKgilPQRuQOqZWrSg4DogaXeUWGOkPnu91uutOZDXsEaFx5XHglzFGvQ4+m78WJOlYPCGlbaX1VHHlkqBx4i+KpPI6cM1Fnj3BsPAPpOjQ7W85bv3UzX8VhuHK7ttK6YNChu+ldOufkXV9m568fNpbn5+ft+vp6ugFvt9tNBh17DvS4oS43uHqISOV7eXmZpv21DGdnP48R6g5z1xZcXlygxMQvCFJHEOmlk5v/7/c/p7Ex+nRpIqfZm6XsOZjI5mp6ZwezPufAGYidFcfj3fdap7rEwGUC6NQy8R0LrqxM6/X6AIDB+esdDa5uHEFW/Ha2jO2uA6CufqO27LX9qA8ZAgAOibBwSqwAqkxY/3BoK2tAVjKe0nWdUuV3m1iqzq8a34U5w6Fpeg6yktecOBXqOXxW7EgXMqPpjI+my+LguRp2Jy+PUODweXTKDqqiV1xmXsd2YEDDFTxwmOYHR+pk4LV1rrNIZg539cZr2HrBznK5bH/9618Pbvc7Pz9vnz59mgA2j9S+ffs2bUTcbrcHa+sO8LlBBmTDMT8e1XOaaGZPQQcbbegBLiDiMFwM5OouAq2uLPgPwt4JR6xPmU0YJZTJpYUDZR3QdmAdjkiXy6INhyyT8tN+G/Ud5omXMXE6jQfenz59mvJ4fHxs3759C9+FoflrWfSjcqoMmX3TMjsdc4BM8x21+WUAAEPljKVrbG1ot1aXdSQ1xD2qdJDIsUI2rUBX+RWHPMfpOz5RHCXnqEaByikpMh76OwNXrGOtHV4OFK37Mh+ejmae+K87t1V+lZ33BiwW79854EADG0NnSHSUwycI8NzVa6Rr+oxlcPWsTl8BAKbZuW+fnZ21Hz9+TEeouB7wGw4f/DHaw7G31g7fyIj/ruzIA8cm+a18nMdutzu4MMjpuBp3/N7t3m7547h8J8DFxcW7o1j4uE2aai9QvzqKZd3QGSmVvdevezYz6i+bzabd39+/y8uBAX0DJLdXdGKjl39Ujl4agEL3kiYX9+rqatr5j/0K2VXCKgt4z7HRWTwF/xFwdGGZ/6xQGQDwJSROgfVaVzxzzoA7LYMA5cnpdFQUoUxHjj/CNZ5ShMCyvDIk1lOWCOlmNFchR+P2KFM616GzTl4Ffi5/5yB4Nkp3Das8rfmjgBpH88S3AxAuDy5jb+9ABCBcHo4/GwrmpY6fX+e8Wq0mh4XZs/Pz83Z5edmurq7afr+f7jnAjB5Gt/zyHzhxHjzo7n7XR/Vthufn5+23335rT09P747MAXQ4ivQLtNlsDq4r5vzOzs7axcVF+8tf/tK+f/9u5XVlce2S2SucpOCLaeZS1G8cuACA6dkc1x8VPOtIWgF4j6LBgXPui8XP5aAfP36kF/aAlstl+/TpU2vtp/PnNf+KPPhfdcgufQRA1da4smrd9Bx+1a4PzwAoEGClxm9VFh1xKEWAgX/r5gdGxA5kKP8MVfUataeMvf/uewTlRcTlP6Ujz/JrLXfOWq4oXuScwCND5Zpe2z1C7TorEOki0kdT6hoetbuTQ8FJdCrEjQp64NKVxYVpu+i0Pxz/7e1tW6/XU7+H0724uJjOY8PRYymAj8UBEOAbeSF/vt2QQQaPhFFWpHNTtuDVK7vWK2i3e7vlT2cBlstl22w27du3b916Zt3J4rrneH2zs2GLxeLgrYrstPnTsym9XfmZbXPxW3s/S8V5RcBLB4sOuOM/1wHnu91u248fP94Bv6jceCXx3d1du7u7s/rS68/8H7K5+wy0PXoDCVdmvufC2Ucmd1S2SkOnAJABb9SAQOqsFRhwPDdKigqncRHm1kn5OeRzG1Eio6w8tNxaFw6VqZHujQrmOu5MYSP+qqBZ/Ay5V9ookiGTswcwnJFzsqijdbIqX0zxK7CErvGo1dV99q36oHWsaRywi/j26oj5RXWBvsoA4L/+1//a/uf//J/Ty4aenp7a09NTe35+btfX15OB0pfz8Bl6TNtjJM1GjW8wBHhQGZ28unSQtWlUl9rfAWT4xUQgbAZ8fX1tV1dX7zYGjlLk/HGVrWu71tr08hvwQB2wLeYPt4nb6MykGzRVjsh2ZqT9CPTy8jJdwww/wZtGcRzS1dd+v5/qChdPVUDL5eVlW61W7fv37+3h4cGCFqdrqi/aj52diOrCnWrjfHXgrPvjdHlQBxLKszIz3trMUwA9BxIhuOijcTStKpEaYQUYfAyFDVC0CSYqS4SqnPPv1UX03+XvHILKVHWq+HaA5lRgpCoDyCFjlyarVwWQqjvckfj79fX1wJCqoco6vXMcrb1fntJ0Wb1omdi5Od3pAbeIZwTa0C943X+9XrcvX760//E//sd0Zhq76//t3/6tvb6+tj/++KNtt9t2cXExjZKRDxypAjEGUAAWri8zGNPyR22Q9VXXrhr/9fW1ff369cAxMeH6X5wicnZK6zezK+D58vIyOSXdb8FlcOXNXmPL33ixjVuTB2jTeyUyO65Ox5UzmgHg1yW7si2Xy/bly5dpKUTbDgAgc7YqD9oWL63qkZPb2SgFWFoelcGVV/uIs43cd9wm9hGfpjQ8A5AZZRY4QtwcFjl//G8tPsfrwIKGo9J0vVDzi8IiZ8tGWhWOFSNy+BzP1aGrW1WMiCo8K2FRW7s2cpTJGzn4jJ/KlSk9Zn6cMUV7MaKGI8Rv7ays0zryZFQeAS1HjpfqB/N3zyLHFskSgQD+DSOMTW/Pz8/T1DN22G+320n21WrVLi8v28PDw6TTGNHzUdtoKhO/8TIjyNoDPFGdOAPreOhmK8iAb81/u922//N//s+7utK6ZMDpgGprb68oxswCO0MAgaj/VPo36wZ0yPUHPMc1wCgvl59nFLReMlkigBStu0NegJUvX77YPQvYrAkgpjz0936/t3Gj/KNnII2j/TPzj67PgnSGgJ87AOZkA/8IHDkafhdA1OnU8LhCasePDFZmcPU7AgbojMp3jlOrOGYuB3eOqgPO4mYK2AMEWp4ReSIZK4464x85J51izwxKJkfkCNSoKljEKDgCbgww3G5d1WmWowLcNN9slOPkyn5HZXfA+OzsrF1fX09vvsMIf7VaTaMvAKXHx8d2cXExvfUP4GCxOJwJwAkAXh7kNW9cvMPOBvLwFDY7EDaakfGMgAEAIIdx/bPOQC61W8ozs1XcJlxOlblnn6IyKXG9VGwEO1udgte6Yfn5G2Bms9mkMwAqo/7GqYTPnz8flB9y4s6JbM+EhvWo5/y5/ADErBuIO2L3Vb+UB6dRn5oNDCptDjrqZUBVisBAZJg1bdQp1OByfK4cnUXQNMrf8dOy9Mo76qh7nTnr8FXeULTe7teMMqdbkSlqz16bVMg5X5SXpxRZH/TjDJQri0PsnG+UTnlzOg2PgNBIB6/ovAMBuO2PL2xZLpft+vp64rVer9vT09NUZ3DyDL5BPAsA48kA/fz8fAIPyAttx/Jm5Y/ag9MhnjOcykvtk9Ybk/apHhCLeODVza0d3qzIM1QV4njZfqkqH21PvZEPz7CsgVkMZwfVH7g4Dw8PbbVaTZcmcV6Xl5fTK3uz0W5kM3vgScue2fL9Pt7FH+WlAFaPGPdAIPJEOO91c/EzOhkAUEeeGfmoQnqdMELeUQdDZWJjE47aoLLnOsEqVfn3jNkI4s/C1flXgEPUJhkoi0Y9FSCVKW4EGDncPXMOv7XDm/8Qjy8z4WUC7ug8etWRpJNX6zvS/yxc41QcoQPBGXH9XF1dTScAVqvVu5f9nJ2dTRf7wAhxncDRQ0auJ31jGd7JAIeHKXKk4aUEtQVuKt+RA1xZvxpxEtHZbXUOTg5tK2wyVJumdo3Bgf7XY9rb7fYdwBu1fSO2J7L/rcVHJl28Hz9+HGx+BC0Wi2kpIHtltKZBfqey++Cly4AujrON6A+8BOTicl2hHVX/K3bB0dEAoOLsXeeInIXyzEBA5nBY2bG5iTuCdv6eQh7jzOdSxXBU050K9DgH6yhzjBllfJ1eqGFjHi4OdzI9JaJlZGemRjUzcIiT7TbOwEEVoEV8Ocz1DZcf54sX13z79m1qx4eHh+n6X17vxw166GfYnQ2wifrDyQDIw0YT4IH7JD48E4B2UAeW9dnKKM4ZXO0rLs/I/lTsU2awIyfSA3ucP//GUUvMLujdD4gX6fQIYOCTHk5W1yci/hjlf/78+R2/s7Oft/rx3pRI9owiOxPFjcBOxZdFesJlYvukadT2IczpeAUUt3biJYBKJWTPInBQdf5Ir0f/opGC61hzAcCp0zFFRlz/8wiqYlRG8+0Rtwt3dHXImWNCvpmBVtmcrvTKpR2HjSKPNGFAkc6N6FhvGWBGeVeMOWSK6tF9629XH2pgHF1eXrbb29t2fX3dzs/P293dXbu8vGzL5bL9/e9/b7vdbrpUBTfIcX1hhkTf58EjeS4nz0qpo+cjbQwYQNpeWd0o9drJpVddrDrHCDy4tD1HE/HU3xz2+vra7u/v3/Uh/fBNf7r8oOv6zknx6Q8tTwQAMtv5+PjYzs/P2+3t7bvny+Wy3d7eTndDVG2t05MKuX7v7gFw6Zw+cZ9RX5TpC/sz9W0j5WntT9oD4Cgz2j1U5dK05qfKQJhG0s0rFSPaC5+bphdXUR43fhRfDcscx1+lUYCA/B1om8OL+VVAAocpwGitHTgSjaP8tBNCp5zhU3nxrR99zmkqzj+jDHA4Ge7u7tq//Mu/TE774uKiPTw8tPv7+8mx39/ft81mM+36x8Ys3lAJXWVQgJ3uunaJumeQpeefI0ef6U/WN1l/1Dk5/XEAKgIBzr6p/FUAMUo9W+XqLbK7bIe4vfj8PuLwlLzK8Pz8/M5R98q/3+/b/f19Wy6X0/XTHP/i4qJdX1+3u7u7UtmZqu2g8Tif/f5tdlCn46Hnrrw9nXFgz4Fp5K++oWpPTw4AMsdepWh0N5JejTgMEo9MekY3ornPKs81rnZENypk+Xmt9iOd/1zSdqm0bRYn0zXn5DmcjZlO3avRY8OvToMdl051KzlQ4QxEppOZAenVa0U/F4ufewBg2HFWHXenPz4+toeHh/bt27dp+r61Nm3iQ33h3LVuYFss3mZVcPwPwIDbAXlzeaLNdg4Ys064UVZr8XtAovpmJ5jVpav/yPE53Yz4uXaPwjRvB3S037Dz0r7ay4N5/Pjx42DJAUdKne72yo/9ALijQmW4vr5u2+02Pe6njj6zFS5tZLfcKBxhumyoZXY8HUB0cquN4KXKETs/6yIgprkjN+XpkFiETvlZpEhoAN6QhHvOOZ0ieydjJn+vfD2KEGjWgVleTqN3p4/KMkpVcDaaN9eJdopoVN3TTTXm2lmdjG53L9d7lG/mTCojngoQ7YE7Z9gjJ6h5v7y8tK9fv05308O44lW/d3d3k2PmN+ahv/GLffQ4nzp0yMRT/5CBNwG25o9FOnAGcn0oa7dIt7R+e23oyMV3o7wsTqZvUZgDQBUatevKt3I/v8svku/l5aV9//693d7eTnYcabBEgM2jPf5RXr1RuRIAq4JSBVncDzgfBai6GVA3IUf1owORKJ6jk8wAaEFOQZGiO6PG/3m9iq82xZRjtqaq4S7/jI55PsepcZgz7FUlqDryU5DLy6HyHsBzoEDTaz6YknO66kaC/NvNvKBjczweEWh49p/zy9rR/a7oXS8/Nmbb7bb98ccf0xE/OGOUF5sD+YP6hRHW9uCpX24HnCbQTYM6gmJi0MCb2DIHp3Xfq1vNi387A64AhJeHMqMcyev4ZqPBKD3zcOXROFU7lMmeUcRfZXK8ebmJb69kPeyVwdkYzk+BfvTf2TCOx3GjfQ9Rm8CPuXwYGCjN8cFlAOCEhUAVGnEy0ei3mg/z4bOkOH9cTe/+V5/NiefSqZK6M/zHOn+X10jYsVTJxyH4Hk+tEx31a3yOpyheeensgHMOKjf+O0ev7ZX1s57xd/GiMAUBr6+vbbVaTS9P2W6309E07LjG8UkOBzhw17zinQBu8x/WhReLxbv1Ui1f5Li5HNnoXNuU00V5srzgD3DiAB2nqdgapx9OBleWHqBxaTS+PlP5Mj4jdo3rjtNGdeScYmtvo259aZPKE9VPRL06wW/u9xHgjIBhBFIjgOkAWgT+FGxU22bWDEBWuZGBzlBkZIwzhY3yUcN6dnY2rRvprmSX55ywOXF68RRRIsw5hTnOvxJnpM2q+VXT6fpZRplhcU5fQQ8jbuWraF47MrcJAzTn6NnRat24tlWAwAZgDkX8dTPjfr9vf/zxR1uv15ODhsw8lYkR/2KxONjghWUBvVSJlwdae5tVwcUxWj8MGvTik4qDdaT1p6MpnXLVustAm+PPaRxIcAAnAj0qyyj1nJXKldlxPn1RoZG2cs6vF78X1qt7l1blyOyHxtH/0QBaiWfANBy6qeDTgYxqfQ/NAGSIcK5SVkdzaoAz5Ih4+PCGo2PkzuJWne4xdVXJZ67zz9phxAG7vOaUFw4jy9spfDQ6gRwOWDAIYAfAfHV9LpKH+fX0ZcSBuDLNIe1LCgL2+/3BrXyr1art9/tpAxfi4S57EGYOsITAewAgNx9Pxea/xWIxXQPc2psDRn3zi4G0TbQMc/WMSfVIZy00TdRW2SCJQYzmOyKjy9sByaxv9OxqVI5szbln43p675ylA+ARVX1KjzJnzjqqwDySzwF4Bd+cXver8RIH1wfi6cVZFRraBKiF4Y6nSubSjzr7kXiqGPiNF0fgt25KqpTVhY0am1Ej7jqXGqGqw6l0mswoRMgSilsdjY2O2Hq6UM1T9QSdBBekIB8eeTrHz+lV/yMnpGE93dL4Wv9ZuV19OT1y+aFccM7YwY98Ly4upr0AWOdnR4Z4uASI70oHTzWaXB4+MhU5nKzenCOK9N2BCc63l65KUb/M9No5b+aTnUBwPCN9iEBFLyx7HgETl65aj9p3K/yPJdUJdbZqLzguk7PPDnCxTerpL8fDc7ZHozp61AxANFqZa6DAs8Ir4uGQO7/CU/MaMc5z6Jj0UX2NgpFRpegRO30epbvO6ihrV24jB4BGiDsWaLfbvbtalI0r8megqPFae3/iogfOMoIxcboYGb2s31UdDMuqRuT5+bk9Pz+3p6entlqtJn4YxeMKYAYBmLJn3dDpei0PAAUbVJYfQK1X5oxcXUa8IntQARMZr97/iLf+7qVxTofT9xxFVY96so7apIpvcQOTjKKyV/NRJ8+nylp7mwVx+pSVieV3svXKpcfYK34souFNgFFYBUHOQZmgSBlVYXVaBr955ygbvF6elbCR51maqHxV/lmnztJUZdT2jozSMQrJjpj/a578P5JLb4QE8S50V/fcwXnaTTsuvvVyk0rZs/iZsXfpnMHWMnPfUB66+56fw8jxKQF8MNpvrU2zKTzyxxIB3xXg6hVy4sghgwa3p4LL7MIjfYwGLAoMRvWV65vrP2vLiiPK4o9QZjcz53dqck4uGjScwmZV4kbl1/8AtLizAmkzYKW/8YFNi/a3RFP40YAI/FSeCg1tAnSVE2U0V4Ey1BkZYK0sGHj85qne/X5/cOmIQ+/8reGnosy4V4CSkzM76pjJkbWVM2Js3FjhVPlGRzkujV5woQYjAqGuvhhcQA/0WGCkD1ouHrHzKNU9V+oZuqjzZ/yy0YM6UHVSnA5gmeXnVwCr8WKwpJv3uH7VGOqGXObT2vvd1truru3ZgUeOheM7QNSrZ82L6yTTlY9wqJF8Kmslfi9OZm/nyMdhGWg7hip2tJLWOVUFi6qrEQDEfx6oVvQj8nPRIKdad7PvAYiQUvR/LkVGX7/xDMQjl9fX17bZbKbK5g+nO9b5j3SoXhytP8xg8MYrJWeYj6VKR3D5VR11lCbKD/8d+MhkZSfk5HEy8VW2Dt3DkUXr2pFhY+cT1UPUfu5Z1TC7ttLfeHGW5seveGVAgItX+GU++O/0ROt5uVzaTbq8nMA8MtldHpFhRjxtB/7v4itFtmLUWVbiMb9jHGcUR22pA2jV8vTkiHTD2b4eD22fY8AE2xIG+K4enK7gWdZPo3JwPCUHhjWPOUBz9jFA/Z01XFToqtL3eHH+PJLAf3fsKvt2cTM6ZSfvpVcjyMTXAFepp5DqaF2a3iij9zy68AXPozwiMBgBA86L0bNzNE72ntHltXDnrPjjRlQVPZzjWNiRcTqVAQCgtcO3unEcHuVjSpR57ff7d6N71Adu43SzVK+vrwenAbQt+XZBR1GdqFNhXXCgQOtNwyLeUZtVHJoCR5eXi+vkqVDG2/3uOfIR56r8HOgYocw+ZHmr3GozXDo++hjpWm+zqgJKB2grdidKq3n0aHgPgAoRobZew44ob69xR/hzJUcV+M9A6iR4NJqlOaYc7DAjY6DGyrV/ppy9jhbJ5ORzQETRuz5XwKFrbgoYmBhcRvrTM66RQ846eVafI2Hq9DS8tTbNAPC6Pd5xsFqtDt51gPVQdta8H0I373G9o87ZsfPdAdrm2m5RP9Y6r4ArDWfgMschR/0i0qcqqHMyZnquaUcAQsQ/svNzAIs+jwYWkW5nNiOKk9m1nk3S/prJkzlrBZ0qb/R/BPxV27oMANzGhBFnkyE1Z8z5WUaK7J2T0OtK3YxA5jRY/n8E7ff7gzuue4roqGJgUFdRG+nvqjN3AAGUjf6j/HsUOQsnD5wQr6Vlt30hLRwX67Uez4lkyxzBSDhTr30d2Ihk0iOAiAsd3O/fNgVi/wPXCX+4nrXv6T4JV4d6d0dUflcHDLKicOXr9DRyiE4vXNpIPg7rARSOm7V1Vjf8vOe0K2EVe1Kxm85e8DMFCVzXmV2o2AzntJW3swWsuxzmZM3K5vpZpGMadgqfNAQAeiNQUNVY90Z0I3k4NIcpytVq1dbrdXt9fW3Pz8/T7mU0aGWkpYrikOupQQI3NEZeWeNnxqEiW6/j8bPWDnWigrR7QIHjZOmj/9ye+K87zhHObc7PIj1XZ8L58rQ4eESOa7F4v0GwZzQq1HP+KkOk2629XfHLG2mj0zW6lwaASvNQg8k6hHB+URA7Rvc/cuBR+TLHDXIvClNdrIKPHkU6W+ET2R0FUK7dq7aqavsqvOZQBJaiZ7000f+MsnK5F685UBIBLy2LC4vAibNzc23I0BJAtsmsihqVskauoLsIaSOMd/urIXPoS/NwRsY1dNRgTmaOX22oESSdIepIHsRjh6lx+Defie21c+boo+cZuXZjMOCATGuH7+dWuSMZoqNzamSdw1eZNa/IiWn8Kl8NV0ftHLDKgZv/FDDt9+9vSmRQyjMC6vi5zOq8kdaVpddH1AhGdVcFQBko6tk7rVvXti6+GnGEufwiwMNxLi4uWms/X5xTHbA5iso3B6Cqra3wqdgVljOKW+nj1TZDXOYXXczk5FdbpTqgaVk3GNi5AQ3zbc1fnOVo+BigQ8kuXsbDERtl7RS9xs1QHgwVT18y7x45BMf/s3SZIRpB/KeknvxskBUIaH3B4OPu90zpOU/XKXuAj3louzsQ4ORwdb7fv218c46CwyMng7g89e3SaDkgS9RZ5+hF5OwyGUBob7QrAyZOw/x4rwBeBsQGy234Q/0ARCooz5yElkX7VPQsqivVCdffFXBmeWQDiqhMPRk5LYc5Z8QnOHCjYyQH51G1a1HaSrpK3Mgp9gZXiBOBuyyvLN+IeKOr25zq/msemf/SMiDMLTM6MFBdWh3eBBhdV5g5O07fI4ek1XhHaSKjr04h68DR/8g56P/MsUay90YbXLYMiESdy+UbhbFhb+1tpJ+RXmihxA620q6uzSod2elcFUBy2uwopTooXfeLCHHUGVacVIVvL65zrKrDbFzguPkNmrgKWEf7eA6woHckIE8FR7qZkkcvkZNRQ5r1tx6pw4jqRcMyR5zJEgFQfhbJ6cqlMmFTJvqsW4pxcvVkV9vp6qIiO+cZAaceL2cvq06++iyr7wh8jfBloKujeQcUXHrk44Br1de2NggAGAQwoTDqJCsN6ihC2r1O4pwKOoNe4wie+u3ydfH4O+Onss9Bv63FwKvaAaudnX+zgeab8zKFz+RhZ+AMfy89t2+UxtU9H/nj+NreGk8dFX6rIXD6r/XCDnHO1GzV8Sk5XXV6vlgs2nq9Prgxk2/1A2HEr+VfLBYH66LsxBlQscHT5YHsv/bDCvBxxjsKi4x+FjZC1T6iskVAyPHGLCfqPhsQVMuYDZoqethz9JV6iRxdRf6KXJFdy9K6OwAqfNRPqVNXu8Z83WVT0R6sKg0DADeicg5TDcRIPtH/DFlp54ChYefvOpOmdzy1HBkAyJS116GzDpspWZTnXKVgvq29OcDlctlFpVXqzSpomfgbHVDX8/kZZHJrdFEn4nz5CFs0he2MW69MmSNz5BxXxFvTRM8z2Vr7eTkPppMxouRX/GZggp0PPrz8hrrVfqWOOLMfmfPP0oG/M5qZbYny1jjcjzlu1EciJxaVL2pXBkzPz8+TreN7QbSso/qR2ak5gwxnn6rpnQ+KeDLfEeADimR0/oJ/O7sFctdua/oIGDAY4PBMbzKafRMgkys8hHACVYWLOl+E3DmNc949g+sMUCSXi+vqoeKII5mdbBm/SKGiOJksmndrb1PADKicgavUca8D4T+cz35/eBSytfZuGtp1Cs4XHYeNiP4G8XW4Wq9wYs6h9+pWRw4uTs9gVahqlNlxPz4+tm/fvk2X8iwWP1/Vu1wu2/Pz8zT65zP8i8Xi4PXBiKOv8UUeyJPbwvXVnvyZXdF6c86K81KbwvHcUcaqPJF+V9o3A3GRjkC/jrG5PaoAomPyi2xpj39mQ3vtEMnhHLj2ec2z961ysK3TNs3CVfYPfxcABHUCMyJRITLliL6jAlSciobzGW+HkFxZejSi3CPIudpoKkeWLorj6quXPwwgG/Dojv6INJ523Kzd3RICNp4hHOkxjY2joPp7tVpN/LUMTocd+OTy6NQ+1xM7jsh44JuXGFRXenrHN5Vlo4Gojh8fH9t2u21///vfpyUfdyIEoGyxWLTLy0t7VarWgbsXQAFA1AZOvyKbwf3d7c9QZ6nk6i2zYZFh1/bTdFm+jl8kj/tdsU/V/qpUBRWVgYa2q5MtkyGq68xPuDwqfkqBbA/Ij5SH42m9ZEAoc/jVNp0FAPi/btjJnKwriHbmqgOOjAPL5vLSDV5R4yj/yOioXPq8p5jVzupARDSqiCiLU1VS7gQMBLI2djzU2Ufx4eRV7xwgVR68kU1lg3PTz2KxmEavAAzueBvXhTp6pGVd447twIRD9z0jmgGECnhgB89OnWXU2/zUKN7f378DHVy3qM/W2lSfvFkQbaZ3I0SgJasf1k2WMeq/DEJYlgz8Md8qRWCD8+q1eQU4VOVS3ajoWSWe8q+AgCisUpaqk+vVZzWvEaCkaTP+mdPnONEzjdOLx3QUAEAHAjlF0YpznYzj8aeCaipAQHeyR2u4x1AEDnr/e2HO4Vd4Vqmi+C6OM7Zaz27TStYZeiCip/wOoFY6Ai6I4nJVDZcDs5kzdnnAQbDua7rMqLIMeoshnnO9wBEzAFgsfk73Y2aEZQKvaHpZ+zziPT8/236m8rJ8mKHhvot4+OY7F1ydqzwKAFgO3Q/g4kTt5WjEeavckaPtpWdZlarOvfdsxMa4POeApkim7PmfQVF/HrVX0f8KIBitz4hmAwAnWCZQ5tgdGKgqs3OO6pwYrLh7DKodtEfHOvtMBpSjms6RlqXnkF2e+swZ/p7jjQyXpq2ChUgvHSDAb3U87NxQJr7hzwFUfBRQ6jc7Zd1Bz3USlQ//9TY+Vw7ccqn1io19HF91YblcTlP6LDfW/x1wXizeNkxqHUb1pnWU1R/KuFqtDqb0F4vFwauGGSy4pRhHqmsIY72rjNx7ID0Cb5FtiRyv2jjnNDR9lo/K58o41/ZFslf5fKTTG8k78ysgNzuolAEpV6beJWsjbZPRrGOAPePO8dVgOAMSOWPXKSuOJcqPDSYbnqgyR5XWpa8g+Y+iSn4V55+BviwPnVZ1bRh1dHdKAOHMJwMLLj9drmBwqEbfLW1kDi36zzoWnUpwoECfOf2HTjPYUAev4IHTMg+8CGi9XrfW2nQMEE6elwPQfzC9jzPonE8PGLmyY4Sv9cBhbrnAAUKuG13mYb1xxw0dKHW/I3I2xTluJffc2dGoH/ZsVgQuPtq5Ojlay2c1WZ6Ptp2RnXb9me2DA5iZjkS2L4oX8TlVe80CACpYVlA1hBEidwrg+M0hNc7ML6tgjpspYFVRo3hZenXCmVxqwJzckcN1svbQZ2R0uNOw/FqWCFD2OslcXYj4cp3xxkZ8+LihllEdbUTsoLnfuLaK2hWnISJgybI6Ofmbj+uBMP3Ojvvi4qI9PDxMeyHc5qfVajWBBdTfbreb3iqI/Fy9uXrl2+wy0NADFnxLoXO+qpP6cXdH9CjTZc5HQQc/1zZ2bc7hGuZk6jnQql1w+fZ4V0BPJk9W7krZRinrX6352UJXvkpYDwRkz1k+pzcVGr4J0AmkHcV1NO2wUZzof08u/HYdAg3GI5bIAaujPUa5IsUYCY8cVeZ0svJoOIzRCKKMEK/KqkZMd2cjrXZoJ6OTIZOX5eG8WX5n/B0fThddTsN8NZz5RHqVGZwsnMvidN+BMQYdmpadU2utPT09Hay747fWZ8/4OIMNJ6ub9hxlTjCrO37uLnFCuPvNcfQ0hN4tEulv1bllTtWBw4p96uUdpek566pzjvKsOKrIzvVAUaUcEXCK+qj77tngXrkqtFi83e7onjk7hu9qHsMAIAqrOqXsJrQ5KDsrfGa8Ne5InuDnnjvjob8jRes5tAzpRUjUdaDMaGVUQbTZ86gOsraL2qpnZJS0bvjKVDbyrJs8Gu5NE/OzKH823M4RabirI8dfZyzcmiQfocz6II/YEZfl51f/qs5xnEhWZ0R7ust14ercOUjHS2dHNA93akMvgUJYtB+Cf7PO8tJDVBaW3/F0MlcoaodIXxUg9vIcdYY95++oGj9rX86/ysf1de07rr4cRW2Z2TY9OpvxY/3qXbQGOulFQJFji+JnDjJCShHS1u/sOX67Kb5I9ui/MzQRYozCHDn+Wb04WTgN5+k6PzuRSAY2turMOI0aOlfeqNP0RhAV0KI81OiqUY70ADepad04wx/9HzV0lfQKQnpOyPHSTUaoA0y/v7y8tMvLy/by8nJwAyBGJEiLpQHWq0jHVMasrTOQq+XMQESUt+aPsik5oBTpgT5DejgN7jeunfTEA+usA46ZfZxLWudOVg4bdeY9OzrHZ/TsXk8GDs9AkbZpJlu1HXrxqn2cdagCRkCzAUCWgTMAToFBPaPvwjMHkwEANvrc0dioMs/sd6YoPdSdGbqMMuPpKHK83B49h6KdPQNHru6dEYk22HGYM4SuLrJyw4FrHehmPC0jysHr3jDkWuaoHtR5cNuNGr6oXSJDpPWNuwyiPHjtHmm32+10HbAuEzkd4jKrfFE6V9ZemIujsoEywKD/nb3Klo6UIrvmbIIDlKjjaAZF++Lo/RtVcv3S/XZpMmCchWW8e+Rs4TG83Lf+zpxyFuaeZ/bN9TH1W/qp5A2aBQAc85EKzxq8h3bw7QxgFJ/TaHqEZSNg99s5y8xAqPNXQFRRqKicmo+L50BHJHfkmKNpY83XtY8DBk7hI4OWdZJeGBt4RyyrOjCeTsf/aC1Z68K1M5fBgTDl1wOImZHl8kb7Lzh/jID59b78mmenn7rrn/NXnVMZo/+ZQXd6m1HkmJwMmXwR4HagXvm4NuqBOQWazv7wBVkaB3xZ990JlIy4niKQ78Am59Gz9S5sDkCY6/AzXhG4didqlKrAzOmi9ksdtEaOvur0mYYBQOZge0quz91FMT0HkMmThUEeNk6R8mrcKN/IMDpnm9WPS5Pl2aPMKcylEbTrnD6DAsTJ2lv59AxtT2ZO5xwuP+c1cmx6Qxq9lVB3xUf1HtV9pU1UdreXpQJcudxaz+xQ9vv9tLM/68MR+FUDOsdpV/SXdSk6i639L7NRKmtUBhceOcSIL5cpMv5ZvvxbbUdUD/x2x6w/V2yt070MIDk7mZXJ8TmWTgkS5uStehjVuzr8aMTPvOfSUZsAozgVB5YBiawzOSftnmcgAN9s5NUZ9GTvAQQnr8qg5eyh5gqA6IGyijyaV6/dOG/loTulIxCQATEtY0QKOCrldOXtOR+kd5uBIrnwPKrLaLThHEDPGaqjZ53GMz0GyGl42p/LqZsNe+CmV7YsvovXqy9Ho3oVtX3U1zVdr/9lMjlAU3GcDnThd6+czu65NgbpGzhdGTKZVXZHPaAxl6K21P/6O+pvGdiLfJOrK3b20e9qfY3W0Uk2ASpVOo0apJ6zr+QZpcsUsDKdExF3FOWbGWgnR8/ZZ+GjPCodVMOrRpbzzsCCytFz3BXn38vX/VeH2Vq+8ctd/pEZFsfHAQLXBzJAGBnGyCi78qo8AAX87gStn/0+fiOeyujkqxgoJ3vPaEdhXIYqqI36rgtzfKL2xLOevK7MUT1qe2fOgP+7K6M1XpQfh0dHiAFiuEzut2sDjTdqm52sEUji/5EP0vK6cvRk5nD8xuVbeqRUB0248VJn5DKq1tmHAAAIUDGKcxs5yzf7nzlQjh8ZY16bcyja5aHIz6WNZMvCRykyei6vuZ0OadlhcDjiunapOtDouXOuKpM6+x6wcA7QUWass/K7euM4Ub1qfbhw/a/p1Ymxc9cNg1xHui+iCjQ5LHNUjnr16eTsOdFIhqwNXDnY2UXAsAfUeqAj0u1e/Wt899zVmebN5DZG4rfWGcIq9i4CM5Fj5t89uXs6Ftlwzad3Z0rUv+DsV6vV9NzdI+HKiLS42CrSGU1XoQ8DAEwZqh4RNupcI2lceAQKnFKoQlfzjZxZ1emPgICsTnrKMyePzKFFDsClYwfNvHpgJcvPPXd36nNeTsZMhyO9jL4juTLw4vKJeES60zOk+/3PfQA8zav9ICurho/IrnFOQWxjMmCgMlfk7LWVA1f8v6pP0T4p5ulul9SyuvJoXhqHdb8av8dfnzk77GysbjCNbGrPMUf9htM6wIPZMd5EG5WVp+8xwsdbMPUODtUDZ0tx7DabeeuVP6IPAwC9zjSHtBErPHuGGBXrDH8EEqIO6dJxHvw/6qjHOH7l5eqB/0fp5uap+Rxr2NXI7vfv3xEwAgJd+dV4q+HWC3RYXyKDlzl9De85BAeGIj1x/SMCZ1ldOUOMj5alavR7jkLlVR3K+GucqiPPgGbUV6p9KwIIFfuV8Y/qJeMZOb8szMmtvFS33Fp11jaRXvZ0yvVn/I90j/U3atvMsaPfPz8/t8Vi0S4uLtr19XXb7Xbt8fFxCmdHD5sB3lEbVfQTJ3M4rtb3HDv74UsAx8SroPIe36zDZYpXrdjIIPI3l8PdIBYpNJejRxVj0jOmmTOK0mVGpQoE1BlGclfa0eWVhanMUT3q5ifnHJG+py+ujitAxjmVxeL9SQQXPyojGya9dUz1dNRgnwoAZuFz+oxzqFGcHhipgi3neNRGRGVyPCv2SfWlYgu1PK6cWV5RugxkZQ4xq3snv/7m/z3AEAGl1n6OwjebzfT84uKi/eUvf2lnZ2ft+/fv7fv375Pjz/hFNsiFZXWH/w7cVH1Gax90EVAWpypY1dHP5aGddY6RAirEb+alYECdhspZBRk9yhx+5pw57FRULadzbC5OFa1XeDIgy5B5ZIwcANC3S0adsedcoqtG9Tecf9aGPGvhZOD/mr/K1zOYFWDQI+dQs/5R0aksfvbfObWeI3UysBy8VyDSS5a991pYx0t1ResykzPiqfGdbHMclQNCWr9Ze4GyTY0Ic/taIjvN6dDH1ut1W6/XbbH4OdJ/enpqi8XPo8Gr1eqdHPjvZNJ2qdr/CFBonVZ9xslmAKIO5+JFCBfpM0QY0VwHXuU/mm+vQbM6yPhUDY7LqwcOOH4FRVYcsuZRcfYVygyaxskcREaRHioAcI6fPyMObL/fv1uD1/6hBsuVW39HPPBMwbD258ioOv2KjNQonWIQoHJl/6t5Z44RfN3avYsLEBfxQ7zsTniXP4exPNpvIh3Njp5VXvOtPJ2usB6yQ4w2VFYpAyaOZwWIcT8HMQBwwC4bXGRgScvOsmt8d8HXCM0GAJHx6RkkjROh14yfo7nG4hgjEzVWpYNWDeQpjFOvjK6DjMrknkUdsOe0HT/tMJUyZWDD8Yt+O75cT/oKXb33HfF6xlDrSNNwnbgOn5XT8Y5GElp+NdRKzrBmxnsOIOiBqIh35jQjsNtztC5flz/XXeTcIhCl/LRfRfWr+1NYBh4Bu+PPEWhRQJldKc1lcrJmwKjadq4cTFGf0fw0PALc+O+ARXYsMLIjWp8uDv8+Pz9vy+WybTabg+eZra76tZPNAGSGvdLIfxZV8lMDOWqwRoHRaB18RJ1VnAP/rzjiDIVHzrlStgoYqBjMKJ0DAspLjSz+swGOPpHj0frQTq6OxOllNHKI6ocdfgU8OB5z+sdcEDAnv1OA2Sqg6enUnHJnIAW/8UxHoqybHDdyhJHskS6455Fuqt7r6QVnKxy/aGQd2TB1uJo3h2vf43dkaD+O2gL8srZwAN4BD+TFtzguFm8v4dK6ykCBo5PuAYhAQGTs5uZb5VNVcpdOlVwpQspRHvpa1bl1Mcf59+o/Mi4OEVdly8BEZECrhrUCsDJgobJFxiQCCmponPHrfUaJ81KAkZGrh6hNHOBQGUbldfKMxP8zyTlKfpala82XLbszwdkN52ijWwGdDOCR3cC5WPgrrJ0ORPlofbg1eHaCDjREPFXPo7rK6qHnXDO7pM906l95OhkZNESnIxRYRHWjz1tr6QujRuiodwH82RQ17miaEYemFZw5qx6KZvQX8f8I6pX3WCWaS64Tcv7aGZii+s90xBnCTJ6IjwtXp8wfN01ZafvMKLn8Krx1lMPfmR5ksmYO0MUdAQaj+VV1NyqrM+pzBhyRPcjk0/aulq/nHLM+Fv2OHLDy0PpRuVXfWG+jI72cV+8a3JEBCvhESxgZ36wuVHfg2PVV2a216a2cAGEM8pinA34RGOi1b0YnPwbojFaGfPG/gmxHyDmRUQDRQ90az+XPMvAlEG4N7hgwMGKknPFzHb7HM3OgvU5yCqo4/BFeo8/dyM3Fyy7/mKtfnNZ9XJtquPLK6qDi5Hv9XMO1jCN5jcTryRr1iVOlr/RxtZPabswnAs5Otp7cmcwRGHB2vXelemZzIrlVv+Ek4Vg5v6y+WOZIrmxvQtSHkA7hLn3FSTvwCZDAcrMd0XJnbZnRn3ITYNRRok4yh6IKYEXW98v3ZB5xjK5jKVLmT3SdZk+miHrGUDtHJP+o8XVh1bY8JRiYk79LPwoaqiMQXRoAZYYpA1jRSI75R2CgZywyHagAFpcm4hfJUKWKLFmf7cVxsmV1P8orkzNy1r32iwYuCBt5uYyTy9lR99vpIYdHgMbJwx8dBffAo/ZrjuPqu6cvsN98O6CWt6cPWp+73e6Aj250VB4Ic0cbR/rSMACoGDw1cNnzUzsBJnX+rEQ9ykZSkUHNAA7L0+tgyN+VJ3o2J3yUv8arPhuN30tzSv6Zk+X/lVFWZLBHSY1lBjTcaEwNXFSGOf2wV75TggdthyhOZrRHqMojagd+VpW9J8MIYNA0kTN0equUxek9c/YwAzCcTnnxSBv83Aa66HbOSO91cLbf799N2Ts/xul034PWu9Y/zxYwgIh0R/PkvsygwdmLan+eNQNQHfVE6Y4xklUFds/VAfc6muuMVeVnQhq3azOKG9EcI1cxRtV8KobfdXYN6/2v5HkKinTSgT1Nx9/43RtpZn2n2q8cKKimzYxkBQBW26LnnJzMI/m6vqtLLZE8PZCS5VFJV5G95xBdvJ5c7rnjUdUTx0+fzeWVDRTcPQNIq2DXOWl2ztGrrBEvcvicH/OGjun5ezh1BSjctxaLxbvNe1F/cICCf0eOPipLRH/KEoDSXIPuKnUO/whtZkrJ/92Io2LMtGFYBp1GiuTOKDK6UfpIRuWZ5ZeFRYiYn2dAIIt7LGXOs+oMlZ8zSvrM6W5m6E8FCDROZGBYxh5VnOKIU6/mG1EG1ObkV7EvzhYcS3PtmnOaTo+rgDTKozc4iPSxV1c9QMtAz42KlRfLq5d19fqA8mHi0TtABDt+tlVqt3gmQ+XkcrLN0Euc1H/xM8StbHRs7R8EAObQHBTbo8wh9gyDU9bIAWTkOu1Hkebh8owADssa/XfP3Ldz/BmP1vIp1lNQVC+ZQXL6omHZf80v+nYyOXkjHYoMc0XHq9TLG3QsiB2lHpCL+vAo/0wfe46N44FXb4DT4xlNT0fyu/8sT+ZgR/n27EgE1CKHrWEKuLW+dA9D1vcZQCjt92/LBm7TngNd6sB7eTPIwHOdaeClC9dWGZ38JkAlrYxKOtcRKwa5IrPyH5ErkjEz3FFc/I4MSMUBc7nmGvbROnTxs7DoG78rusBxj2l/pciI9drQ8XC/dZQyAhAjIz8K4Hp66vLNZOrJDKo63CxuNa9enhXZRoBlVrYeCKrqbBW4uHyjPq52L7JLPVmd82JZq6AgA7Sj/CJwPVIm/t2zpQwMspsRnePP8tad/gp6+He0FyKqC0cf8jKgqJA9o52lA+nvuU4gGrFV5cpkqzgOhGsa7ZQ9uarofo7Trxi0iF8PADgeESCI4p6KRpxoj4czij0AMAIsItkyMKC/lUYce5VGHRjHjRzFsXlyvGofq6avyDAKzh1/ptF64TwiQJ7lkwGNUR3JdNXxc7bMvQjLgR1HWd9wACd62ZDa30wfEBe8dSSPuLqXpbc8vFi8Pw1QpZMuAZzKkLhKjQrvHGDFaM/pPFV5evlwJ+TGnTsScmkrTnpOXtVwddIjgMCBAef0K8Yre1YxEBHIytpZnX0EAHo8MnlHHIkzdj1AcAy4Vl49eSO5lYdSD1z06qiS90h6lqs6aOiBH34WyeDyyxxRDzQ6nhVHPwpWMvnx3MmQ5c9lqwCUqK9w3rDTLpzTRrMBSKN3gfCm8AxQAiwgDw1jXxK9fTCik78N8KN4VRSBFak6clPeFWMTGVf3vxKvioYrBi1C9yM0guyrTvlUjr9q6HoGOTI61dG1psF39jsCAD1nH4VXfjNl5eo5tGNptC+eKs8RXiP9pQoeXdzRfpk55QovJ4f2k54OZg7UyTMCGDLAqXraA0PuN8vk+GQ2BGnUDml5FXw40pE97xtwQABOnfnq/oURW+1oFgAYyWgUWY/yrDjv1voo2f2ujNTc/9EyZwa52gk13RxlqOSVPR91/u65Iuzsd6+skUHRZ1ru6BhSRJmDj367b/2d5efi9v4z9YyVxq1QZYRWTeccSzZareQ7Mig4ljJ7wuGR8a4405G+XtH7SLYeVfqf5qsXoVV1rFdnjkacvsaPBmKR/WPZOL3aE12+YAChICACCdGyhCtfRGUAUEFyUXhPmeY4q54DymRxaE4rubXcMI8YWyefUyJnoJxiZsail39mBI9xBll7nAoA9GTs8XcUGVqHyF3a6Dty/i6ehrv/kRPpjdx6I6eobHNornPtGXJt18zYVcpZBQ4ZHVtnmT5rf64MDFR3K2Xs2ZoKYIvqtOovqqCsAuJ6Zc76cBbP6ZuWoTJI4DTRrbTs8Pk/l61S9pMDgIiqjvhURmaEV89puEbsGWVHo/FVtsVike7e7DXqSN1WQZnj28unN0KpAgD3OwuryKbknH30m+NnvJzTz0CC8s2ceza6idqyp08ZfZQzPwVlso3kf6xNypxyJTyTS514ry8qYHA8ozxGneBovVXaZE4dVnTA2U4utzrXjF/lrYA9R6zgwZVxjn5wupG++6EzABpn1OEcK5d7rshKN2IcY/QqI3GHBLEWhFuinKzH0pwOPAoANE7mpKN4mYM/1un3iA1DdVYlGv273+67+ns0LMpLqec4svi9/BF/tE/1DPIcXkofwTsD6BV9UgDqwo+VMZMrkzFrE6dDPV4R0K7WYa8+M9up+UdgKHPMzq9EwCMDgOpzMice1RPH7b3nQekkAKDy/JRxRsghJfyORmlzySkAwp0SsfNnRXT8Rqky6hhp02NBQ8X5R2GnltMZEmcAem1RGd0f4/izsNFRZY8y/egZ20jv+bnjkRlJzb8ir+OdyXwqEFCdUYFcvfrK0lfSzAVQx9rnnrN1cTPdqgDXyL6PAtWR/CM9juJkTjkCI8ojK5umd3Ei+lMBwLF5nJLYOPcQenU0mMV3CssNpvH+kTQiQ0/+HiCYAzJGKWq/agfXuBXHfOyIPwIPOmLIdM2VZU4dz9WHnkGORo5Vnj05qo6yIuscikaEURz8HwEvc0apUVkzkNajrM9kPEfyi0bTc3SiMljL0o2A0l479Jx2BYBnepDRn7YEMCefXmPN4cnUa3hNP3fUESke0igY6dHo6H5khDKHqsa9F6b/e85tlHodyRnIKJ77nhMW8dfnrCcOHDBFICtyNqN1OjLqnTMKrY78KrwiOuUMyjEj57mAZ06/yOxYpAcfXS8uTeZsP8oXMM/IYet/HcxlwEbL5fQv8xPVsoz256MBwEeOWE+pkBXDX0FRkQJGBrnX6fDtlMrl43j16uQj2yjLo+eAeulBpwQCWf2OOH/+7Zx15bl75vLLPo5HBLT0t9aF+x0ZterIbcRhc5qR0bvSCDg4FdiYS9W+3hu9c9rMgVUBRUWm6DniVOrW5TVSziz+nNmCyDk7/plNyvpP5KSj9quCnjlgfjYA+DOcyimpUuGRA9bwOYodUUVJ/xkcfI96ALGnP1mncB2wouzaZln7RcbE8VQeLn4lXpauSpXZAHX8+l9vL+O6qOrWMQ4mSzeHRhz33JFWhTInps9dvIrTqciZAbeePL00eJ6VZcSeZX3bOf6eXEgX1d8IeMlASxYvAzTOJlT1zfmvDwMAc+8a/mejioJxXJcuc9K9Tu/yYf5ZulPQR4OFYwxqpfwR+u+ha8dHOyJ4VQCA/h55VuFdTdPaz7rQI0oRcFIAwK8PZd12dVht2znOXPtP1DYjecxxdqekOcC9Yj8ycnWV5dGTp5eG01b4VkD2yECrChhG5e4NxKoj8RGQEj2r5DmXTrYJ8KNprmGJeLnfI+lOGefPcPwZHeOQ5/DuOekqEIhAQJRXNd/ofzVs9H8UViHnGHlGIDJi7PwV3DqgoOl7MvXKNdKfK3J8tENXXcviHSNP1cn00ldnCkbbIEtXGRip467kOQeQZ6NhJ6ObIazaDVc3c8DqaD6noH84AJjrgP8MBJ/RiNxVRXfpRjrKqWnOCOYj8u05eReP+UQgIBptKs8or7lhx5KTN9MTZyS5PhkI8EwA4vF/BQpzjLg6KfdstN5GbUNvhJflcSoQVOHhdHkuL5fejc6ZRmYLsv55TH1Efd/15Sq/iA/nV5Gpwr8y4HPlqwAqpZ6NVPq/CgBoulGUdUo6RuGqvEcMzpx8PoKOlaGSflTJe2mqQKs6EqnEr1A0w9EbVWtZ+D9/sxNXIMBO391V4UZYc0cvGRBgmjNarYzWP5p6Dkcpq4cMHON5L/2IU68CAo3bi1edmctsvAPyow5T00WyRTMeI+Qcv5NB40cyn4L+IQDg1B3vIzqyKuXoaGFOfqfg/c8AAkboFCOlbITvUHZvpDPizOdO00bTkJW4Lg5kGQHDGu/19fXA0TuHrx+Xv8pVpQrAiWSfyzNLV5mZiPQpy7My0zBavpF6j/rESH4RVWbV8DxziNV41cFABWBo3LkDDeZzKrvey28u7z8NAIxW6mjln7Jyo+mYj6I5isaUGaGPprkKGI1oK6OjYzpoL59TOv8Rw6rxR4xHFE8BT2bs9RnXT+T89TnnXxlNVuohi+PKMBK/IsfcMA6vjB6PHWDMyYPjnAKIg0+lLHP8QAYk5trAShsd47Pmgqs5+tDr446GTgEcqxj8nVE0xeji/L9AqoTVhnRK3+sIvdHvXNlHSKejo+fMf257f6SeVB1Vz7hE4REgyEZFvXD3TElBQDQDwLwcINA4CioyGgVPjucxen1KmjtCHQWPp8qjN1qu5lMFZBUb5+Ry9jKTd06fiPi6MmZ9vToz0pOn93zEz7b2D5gBODbtsVMeo/k5+ijD4hSlqggKAnrxe2EZjZT/2LrKQNFIp63kA6cVTfPOpcoIJgrPwKHjWR3RaNgIKHDpegCA6/YYXY3KVk0fpa0OTEbSjhr4j5gF6NEIaOrZ4Uz+Y+qiAqKjfptRBaj05NUyVgF5Rb5KeY4FjkOvA/6zRtxzjML/7fRnAJuqDB/NZ87Ixk3zRU6x6mAieUZAwAg46BkylcU5TGfsqukjHcvqyM06uHz0OwMBLjyjnrwj056nGoj8mfGPATyjvI5x2hUwMHc6vJJ+rjM8FuArn8ogpUdOp50NjOSo0j/8FMBHk1aaKlMPRTo6ZV18tOMfdbZZ/MqU/Ujec6fP+flcqji9EV7HgoBRXnOM7TF5OyCS5d9z/hEYiMpXMXgjo9keL0cfMfMXgbyqTKOyjYCMuSNkzacy1Z7l4xxqZYYgyq8341blncnqfIzLv1cfIzMHc4DMEAD4qKnvjyQ3OtFn0fO5NGeE+xG8mf8cZ3xKh195Fo1Y9VmlA7sOmHWcfyZSg3cqg1QZQcwZRelzlj0DAbhd1IGArM2q7TXibCo85zjp3oxN7/+pRv8jI39N03PmVd6nmn34/9v7tiXZeZRZzzfv/8oz++Z3bAXDIYFEUnc7I1asKpeEsCxDknJVazazc2bFGKtthjhbOSYa54VVFCLFUDaWXbkFMAEryWhtumAy9sg2YieTsNnHkM9km6hyteYgc7NZybCqZuwgyKwxogQUtbcQEQH5T5IziwhY92wnHnVjWZaEVMfrVOGanYwtNEmiMSmqhD1yYc2Ddl7RuVoJ2iLdnk15fRlKihxrMu/StgBuVwciVuYdXzFBEryFVwUzkTPUAfRzCVkNazaiSs8jAd54yPFsmx1ApNT1WAWaSmGdvyR2GhlYj8s28j2bDPwEdJKI7Jet6BnrGll7ms8e+bfsIcVC5KN3zjvXmkdWGH6kFAAPN9yAO4JvlGw6NjP9mUl6fb+r2kehVehRoPJUHtn+NyEjfTLgBXVPDfjvf///n7+2Kn7tvdeGSQrWc2BV4MhYmfYvUEKXIc9o5S/hKXGeDxE8Uq75oKkHaJGlFRyrbcRXtC2K6HpU/HxRUgBuqHI0IBORqQYr41ftVKT8SvWefe/51iEsHrxKILpBq2qAHL+qAkTokETtWq3VddW/znnJ5OslgdXflQis7VEi4JEHzUf0XF4/pa1oTa7H0XGssTPIkpzMta6Qk8r5I4pVxra2BjVSt46N2M+SoCjeRLlIW4/swqakAHQYx04gQUm2XdtXx2RXwNb7CUKQOaZhYi1kk7pGGKJqIeNLVEG8tiufW4gUFy1YaqTJ8icTlOXnVtBFq9O1rbSbIQHytXb9o+o08lO2kW27BNSaP2ZcqaxBbXwrkVZsv33kOOjainzVxpI2ZRuJDgHx7EbjZ9dmBpQtgGpQuw0yUFTOh1EVo0mfQQCy7aLPqkACs4VsoqkmKa19FYyAjlQyaNVg+RddFy/wo+forUlPEbC+RVAhA0iR0EWXbLLjrEWKrXZRAaX56tn1xonWEUq0LR+s9Yr00YCcO7s4ZID2DMDNyEy8VomgiPpMJ/xONT+d8CvBL0ImsaFtERkwE8yqlUoXsqryfPGqTmQcL1gjVZs2D7Ia1MhARBCs9x4ZqJClSXSIG3Lto/GqlTzyWdQeIZOoKhD5EPm9IuuHV8F3lBMG2gTgJkZTScCdINytbqw21c+i9qhv0WceqsETrTjX10ilr9nsBPlsJdIdQ75+/2mQwV/6hyZ0bezVvjWutIH2t2xYwVFL/Otr9Nj6+rUZVbI3IPJJuz8yiTIaq6LyePbQ9RKNlSHnKEmx+nvt5FxH697rO400AfhJCX/SRjZ5Viv5bNXfISVo/xeV4BjJiNExq78VPCJikUUloVaDVkaN8siO9Fvrq30WXY9KIsgSDI0IrH0jMrC+zqgEmj83koEKuqTVuie964TaZZAAiWzhZxUMFfJvraVbABMAdoVz64RITFT53aTOqvI1MBNmxka2Oq30X8+re45aEGSv52xFI5OlPF/Nb2nnRaWS8hJmRX3TKlkNFhmQ/yNEwCMRv40MoMkyY88jkdXqPLuuNJta22zFn/E540fXbgdjzwBEjt+W/LP+RFW+fL8z6SOfe8gGN3aiR9qjyUGCqQZIu5Pw5HFN6fBeI8goLetxTyHI9O8qc3JONKUAJQSrX5EqogElpzdAux4VVRBRmjKJOWqrAVGYNBueMpBRDSyg99badmp9tAjALYv2eeZUhUx13SEA1TbI516SyKCSOHeqAB60xM8kA1FwyKzPauUvE74WxLvJyEvwmUAe9WcEvpUMrHYRIuARADnf2jlrfnhzPx3os1h9zVbca58o4SJrrVr9W/0r/bKo2PDObYpEHtkCmBovk6wr6FTp1viZJI8mf63y0yoYueC6yXBKOYhUgFuABD0rUSJBKQqWlioQ+Wb5qsFL0hPVfyX5SH/l3K3jZciA1QclAxkioJ3H+/lJkpCpXrX21bWv9Ud9qaoaGSXCs1G5XpV+lXvl2BbAjeNkCUSHEGTGRj5/nv+9IdjVd7cP0x+0+roNiBLgBUmt6rcqfW0shKRUqzL0mHYcqdJQYuL1kfMj59JK+N7x9T1CBjJqjNY/UhlOEARGUn2Pe7Y6ZFkjxNKXqs9WO62td/2sflF/zz8PJQKwc4FVx9qhICAJHvHjFtkvQjXBdit9tF9FxWAoH5o/UULykp6lEqz+WiQA9SdThaJkIVMxRdV/tpqJ2msqgOabVM0myUCW5HjQCMJuUpCpjiOS563BDFFF+qLEEknw73uUkEb+ov2jzyyMbgFMLTpmUu20yyb8znxU5B2W/Wl1oKskaIF2IrFPw0rUmWoZqX4qfq1gV//rsYisyM/++eef5z//+Y/aPruONUKvJfb1tUUItPaaDxHZ6qzhSDWwxuyik8wylX9mnOi+inzMzlEnXkf3BDMXlLcAGIsGqV6qY7MJgNX+RIXPYPhIhVLxabpf1l+ECFQk2cgOck28wGSpGl5QQKpsxlpExlqPWcc9BUR+rtlc26A+eeew2uyqA+ux9bUkFRrYZDxCNcllbL9A7gmrbaayRvpm7gdtfVpjRb5piNa6pxx0rhtVAcg4siZ/NgGYSv6ZfjslN/la+oHITt3xd/VFE7pVXXjEh4EqoUGSoQyO67l0VQI0AXt+r8e1c4qOeZWO549WXUd2MonV8k8jBOvr6L3lu3V+0Xl1sUMlyJCNLKmL2kUkVQIlDFlC4Plb6d/pO6IAZBJwZbImyEgXOxJ+BbckOonJJFwdv6MEvH0rNrIVqiQFmQrfSzjyGBLYslU2Sng0mxap05BREVBYysD6mSSYCBmQ/0f3RjaRMSD96sY7NGl5RLNDIiqVP9oXKVA6/T072XVQVgAYBCDbdvcYnq2u9PLXUQ1YXmVvHZeBy6qqI3uRX9X1gAQ5q9pH/WGsVySpVhUBtGKzxpXwiFj3Onm2NGXGq/49IvD+LwkFOkeTCoFFQqt2kaSIrq1sX6t/NOfRuJ4/ElU73Xu6tQXAIgGdPoz+2QqsM9ZvACOwdKptiY6NLgmw1kEnMEg1wWufIQhopY342am8PWKSqW5RYoAoCZrd7Lqy5l9TBFb7KBHQ/vfOK3veFVhJsmrneXxVJ1p3Vv/M51oba+xutY/6x+73ov0MwM5KnNEfYX6MsT7sg1bVy2vtVf6Zip8pg1r2EXjJ3yMDSOJA/OgEXKv6j44hfnvjRe2i9hGs2CKvg7w2WUKgXefVruUTWyWQ38DQ/GBXtllVKKNWRTYq59S9tzREBClzTel/DZAZFNkB1gp+URXVkZ8+2GBVJJ4dtMK3yCErqFVgrcPMmq1WZtZcVNQya968ah9RADSbXnuEGFi+WOoJgmjtWORtHQslB0gC6JCrFfLrl1rfzvqrrKmMnaoNr4hEyQVLLbHGR3HsWwAIuhOVGUe+9pi013+FVQF4drKLaTdYSfsEouDoKURa0p0AQj69z9BjFb/W/6NkmlEFqgqANi46PtpmPcZSBuTY6/XxVAH5v6cKrHajhDxRpcq2EyRA+lFN9J21q/XPjMmIIx1b1J8CzlzoTFK00KlwdkAjFi801m9VcL8NWlXdQVTloypAZEt73QVSHaLwyIM35xVi0w2qERnIVjWVpJZVFjSw1q+0uRIC7TpaSoBUA6SPGpnx7sMMwbL6d6vdyrXwkniXVFR90uwx1qC0lekHEwBGwmbDYua3EoIVFrO32v6Ec0LxBpypteIFNPlZhgQwfOomeQ2SQEaqgXcsG0SylToaUCf8yMSJk8Rb+hWt0cz/2jq0yEKECjHbhWi9vaiSgYyNKrw4xdpiSCkAXTaI2uvan7KbGZsp7cjXL3YrIKyguDO4aiqARQIYc+n1z9rWEoEHK5FW5VfEJ61PpU10POMLmugRlSCDyrpGx7OIo6UOaP+/r+V7izhWiUGlvQUGOfZsZckAasNry7gfM+flgbIFTUIGOAAAFitJREFU0L3YGRbWsVO1i0LK+NOQNzhzbJk0WTZvhibzZ9bervOziMGOtZettL02rOosIsLVig9B997LEi0rQcs2FjGQ69R7bVW88pw7695SNiaLs3Us73OtXSbxIqSWVShW7aS2AKpg3HSd7YcbK+SJhc5OQF17bBIRVYOeZFZtj/i/IwFntg5+ynZRtP6z2wvI/cQOvrvkX2tsq51UvFabKAFYX3tkQPvMai/PMbOu2UDJWzeRo+RUQ3YLLDt35WcA1uDOZtUdSaPTN7I7Ie8z5uYmWFIVW4quIEsK1uORT0wyx7zGk+uFkUyzQThqW6320QLD20rqIHNOXUXUk/y149IH67X1HpXCM3PJViazBSbiu0eCMol98h5uPQNQTWIaEMaotZVgqQmeXfb5Vv3oju8pJmw1Ictk0bYMGXJF9dyZ+32e7ZPyv4dI0mcmYzSYZgg7es3ZcQCxlYmNHqJ5sO4lL1kjBEB7r9mrrBFkPtA2mXsIWVteG6ug9uxE40V2NGzZAtCQYX/WnhZiV8MUa58IONaY3eTijc++1lNjoEGgI+9740ZjV66P18cjApk2U4iC2FTVE913bNkf8cOLV9q6Y6kaGVS2FjSfIlJUVQm8Npmthkl0iIBHjjLKSaXNC+rvAGSQqdQttsmW+7M3lzUWq4KMbJ9Y8KdRqdRWIEmfIbOyoFX48tgtKsDzYJVMlSCjFWK1Kqv45LXLxAdvvaI+7Nw6shIvem4RKci0jxJsleijcSIbu9F13FHV0PM9pgA8T17qk/26yd5ilROQe4cSJ5L5DQlDQ3cussHlFsg1qV0fNOln5V7GfcAOhF6/LtHYvSaqil1VKUDae8j0Q1TJKjGwjnukQ17/SpxHr9fJGNpVgZ/noALwPBjDqvSLsCbjqUDgMXeG/6utNSBm94t2gkHcImQrCfb2QBfIvqCnCmTsW/12nXuXCKDS/3SQ7qpSFtBC4cT2gQZ0+2pFVSXJfp5VKTKEIXNd2degSwJaBGAdfEIynZJh2cFtuqJH945OVb6V7YuJ9hUbGnFiIVO9rb5Y7atJPtNXtt+xFSKTVDaooUTAa4OOs5MYouuH3e5ty6yArYSa3Q5Ck7z3PqtGnHzOALkOHaLb3gKYCuoTRKFie2J8idsq9RXV/VrL1q5tl4682B3TShIMyW43tK0CSfyZ5+QFaeYzAJpdJMFX1wpDjUATZ4UQdPeaM9V/tH0VjVXZDsi0e99rJDhDjE/E7ez9SN8CqMr6qJ1KhYDa7iArv0/7UwFLyYgCTpU0dqqvHRU+eyxrnXvrf4pgWMrETkLDSmxe+6ycn12TrPspc46ZKlKzicx7NiZHbb2tqcz26hpzvGcCLKIrXyOwSBEjdqHEDx0rrQB0JbAuQagmkdf2VPXSkd9vqQpZSkpVkozAbj+5jr1+DOlVtl2r11vW0zSQwMiovK0xtfcTiM4BTdDe55kxLVvR8QypkH28eUYSu3YO1fvsHdPy0fI5u61W9TtjP60AnHKecQNr5IFxA3cD780KgAf0Wu0Mkj8BHaUIDd5/hQS8yCTJXeoc0rfjC0J6ooo58g0h0ShJ8K4BI1miily0XaHNH6IMRO9ZiK5vBtu/BqjZYe4zd1GZzIoqcWOAZgUshK1nx2UCGW9a3n8eTvJHFa2/QgqQih+pSCtjTvTNPs+w9umopVa/6v3L3rLSCARKGtB7W2t3U6HB8KX8U8DMoJNhpNPIJvGqxHgzofGQYdNI/x1gbR1UqpFsInqPR/eUlfi9rQC2HH4zMtsDFZuMdqitW++xyjqqPiewg8BGBKD73jqmtakoQ5X5gQnAP//88z+DvoHGkyQ6i/GElBz5sIKxlbB7UWcwRd5uYtEvPJ86hAAhTN4NbMmRllTp+dXZg9TkzJ+ydtnrrbJWpsa7Ddk10V1D1v57BRXlgH3M+iz73Aa6ZlpbABbj6V4MxsMSHTCCB7o/M3WOjP2hjjyZtTWFyrjVAJ9J9lo77QbWKvtofO+hKMuvCNq57bimyHl7/Zh+IMcyn/9mIApx1Jfpi0aaNVRUPuZnXh90XjL2ywqABzSBVy/CVOVRIR7ROWQvNuvcquNLVPYgb0elckf6StkZGaeaSLWK3yMSnfFOP7dRHatyntnA/ZEADKy9fjY8osK6dkgsyVb4LMAE4N///jc8cNQuk2i7wWdyL6VbBZ0OrB5OqzCTqBAARmLIyv9ZoASEMdZfeI5gxW7Z/zTQijljr4IpNUC+fp6568jaKlzbsualrAAgDlSe/KywME/u9vozHl7sPAjDqM6tRNMlJr8pqGVl5Cj5R8kAVbYseV6+Rip9aywmybz9OY6d+O3n/69//et/kqO1libJIDrPFXm8u73rjY9u/3ZzUBcpBeBFJrGjx6w2U3tIXvJ8x0XsZphbpw9iJzqesbuzwtu1l2wdt9ZClQggW1jWHL/HvH1LFhHIYlJR+Glg3GMvsskrQzA1VUg7bvVfj1sx8S0OJ7dmo/lixJBoXrzcUNke0mxnP5O+ZlFSAFCJn/kZiooykSUpU4QkY8+SsaJ9X6/9yQqPycaz8J5v8SoGtsqiXYv1msjXUWCqXE+PnFjYTRhPIXu9q4rTlF0rkXcKiek4od0n2TEr6gDyvjueZruqslQJQelbAIj8YX3OYmrMfgghyIzNIg+ngmolCVRwk4yKBkEWCYhIp0cAvIooutfQQJINKKyK5EZkrvFNa/onorIFbPXN2GCu14q6s/adVOskWt8CQCqPjDNR4vHkWtQ++7MpW51F4G1vVBdYtiL8KYjWVLRnOEUA3vcRKZDvJ9Sm58G2NVaw14Bcu5mgnlnzFb9/0nqfQOaaaP1WdJJ1h4RWyLKHytpbfdHupwlSnSYAXoWBLATvJLy9JmvMCGhFlP0sMy67jzwn730VbBVgKkh2/MuuM1QSRa4Hsp8uE76V+E9tYWWVPWu7CQESG6w+2X4Zu4x2Haz3qbbNN63EZAuyzJpBEj2ST6J2Xv/q/Glrr7utNqGypbcAug8mVJNpdf8lCrSMxK8F/MpNwdoesfa0GYx2hbeHvRNaUEHUJBSVgG+9RqV0K4jvJgHaNa0SfUZCniC7Hm7YB0fGlnP7XrduEtTQSeLsShtNrtW1wiRSWVuRz4xrW/4lQGRwFmPpBusoGHWZFrIvjF5ID8j8ddWTTsKMZHRNxpUJpnOTase6wTnqn1UKqtXA20fOFbJWkQre+ky7NkjQz65p9J5D7jWWbxY6/S2CV1VNo3Gq8Ah0Jj52Eii74u1W9Ew1lEUC1nbPk5+j1BZAN9FrTu5k8VVJiZGgGTd4VmbVxsiwSm8Mq60XzKxqJTu+5gsLlcA5kYQsCdBSO5Bjmh+of5kk1V1DiI1qDDmR/COSqBFklBy8QO7vTGGi3ate24yyVemPKnqTuWTHGNa4U+s7pQCw2Aga9JGgY1WXFb/QNlHf1b9Ovwo5QgKqlkgqFWn2swl0JUVNhWD4YCEzVrdikeNabSwFDE3q2fnLJjUNWeKIxIeMvSwylb9HkFdY1ydD+DLqW5TEIzvR9dyRWLtJnKkCZOyx1ZAXpWcAdjEgtEpa23lKheyHjM3Yn8rasW7mbBBDx9De72a5TKzrwlNEtCqHNe46jmyDQvMdUQY837LI3CsWvDmYVs2krayywEZW/dqZNKdjO5PQngJbBejclww/Ws8ATAWdDCQxQZWKrJrxPDwyULWFkDA2QaiQDisR7iSPL15CKH3J/HGrDLKVqQVLhq/aRIiQNc5k8O0GwOep3UsZmbzqA0II0TF2EYGTcZ0xNjtBV/3YhW5eofwQUNTvxERNs3dWkmUy4k6CyIyD9lvPb0cysSB/xVKu5UjS3AWv+vQSuNbes6cdRyrfivLg2XttZlUR1L5HOqck/uh4RxXsngeaHLsxOypQEB8snJLgLRu3KTDZdV0iAJlE091ftWxq6MqrmTE75/RWoN25Yfq02swkhQjMa1/dRomO3yYvPg+2Ly/7yM+jPkhbbyzrWOU6sfbmtXNiqG8TYAT8bP/sPFeVxo6yw7C7q/BkEYlTgAnAiojRo22tPp3xUftZv7oXCQlMaH+GTwiJYi3Mrgya9WclqEgw8aqrSCJf+1elecs3rQ0SmLU+2pxE513F6sNuBRCVkV/cQAYQn3dK/OiYDAVzYv1l/bhhDZxCSwGI2kmwKvcsqhUAci4MGRTxCZVlUVSuUxWWDGolV1YC0sa22lYVg+7WBlp5e8QaCaKeGsAkupaPCBlbMRmUq1sZU8jED1QZYqB7TaI12oldTBWAXZywyPMOUBSASkKtBvpsFWjZkONnfYmSWvW8sv0nEjmbbGTG0RLqX2boL6w1USEO6JYAe781c0071z+r/DD2Xaukgpk4qnE4gqdudVWA3VsMHZ9223gxGf9KBECikrzWoLAuMHbQsWxqQanqQ1QRVudlxU7lI7K3kiam/WjcyTFOoxo0Kmt2d3KS2LE1gG6VVO7TSBWqApnvE2oFqqJV1++kEsAoMnefl+cP+9pTvwu13lSZG4IpqTLAHpsdHDo2puy8wXP9N4FJ2z8Z2Tk5fX9NbF1Z7dE+shjpgj3HSLLrxN4TqG4nZ9owUBlnwje2zZkvQ/8fqsGaTQIqfkwkM2mzcrMy/JF2pgiKdYxJQuQ5nA5oVTCeI7H6ZBJg5jNJ+DMFQGYtW/YnEp3Vrrq+Ovc66tsuoNc089kOssWIl1U7EwUL0x79IUCr7+mHK1ZbDDmd4c9qm/2ATdYOU7LS7FvHGWNGJEBuWfzUbYTTfmtrTs61puZNPU1eeV6m82wNkyhP7/dXzpX5YF0Gnk3WuTL8XtfbVLzMgJGTSgrAKSakBZeqHWYlzUDH1hTLnLBrjTVtX66d09WUROTPlEKQsV8da2q+b7uGGTBj4W4gSkC17yS6Me2m9cZSqspbANXJrEpisr9VgVTtMWx0pCKGP4wFrvWfXPiMOeuMrV273b4gT6KjPnWqgumKJpKIJ+xa49wQzJFEarVZn7mp2s+Ml4Xnd6b96tcN1+x57K0vpM8OZMZqPQPA+goNgwh0wVpgrETS6T8l5e+o1L3303jX04mnrFnn2tlq20Gmdzz5j7a7IaEwqtEJ9Q9pU1ECbpjzU9CUyNNoEQDmCTCTbxU3Js4KoZhkzDtIwDsGUuVMjX/DzZlFpbraMT4KxtxXqt4upJKUPY/JuFWd0x2qH9tmxu4Eadp1vZlofwuAJX13x2f4MJ04O2oHa3wGdiTJn5qEJ+HNx5QS5l0HTQpFv6qG+rFjDXRiR6UKzrbbMYYE+nVI5po8ofidijHoPTYN2tcAmQmY4UuFiVs22OhIQRUmv1bU2vgdMOY6M84OsJ4vYaP7nelMH4sIIIQ7k+AnwKjCtfOrBu0dRVLlPKPrL+NFJ/Zk+nQ/P6l23KS0IBj5HYDuSbEm5V3AzJ9lZGPnAtDIwPQ4P3GM3Tcl41pUHyJkn+sUYd4FLUEyE3iVxJ2oEuWYbAJatXXzGut+vXP3NR77ISAGCWARCaaqwEQ1GbPmZnrBTagDu0jMTiDrlPEdZm/8E0Qg+/PFnUqU2b46V4jvnQo3U92zE/Ztcj9bEduBE8rjlb8EKG2wfGHZmQiW1QXLSqrr/5M4fZPdiPebB9Ukj/5GAJpcGOtqMpj9FuIXITt367zc9PcCTmwFVIGSqMmxd167UQLAAjvRsfBbtga08aYUApbc/VeSAILJYNglpxPKwwmpdCe6ymBmfk7O43SS7yo1nV+M7fjO3HKKsIUAME5i4i8rMexM7H2dlNR2bAuw7PyGRPBTiEwnmN6Am9YLEjt2VcDZbRj25zduBax9O1sJLAIzOUfbFIDuyexkRRUwfbttP40NZiCe3jf7aXPr4cTDsJntiey66PaLjk1ijRfW2JFP6JZOpg1jzM7nmfYZleMEEVj7MnyYwNYtgKqsMmGDecOvdphBtsM+mZjYBmD8AaMd+AkV+qSP6zdpWH9E6wQi309uK3XGjuY38weB0NjTJQlZe6y+jIr8pIo0MTZMAFiD3yLD/QTcogSwq+wJPyeC91RCyAZ8ry2a2LoJpnrfoj8oo42ZGSMa54T8zILnJ+uHl3ahuh5ujj27x2eeQ0oB+AmJ4CRuudnYfrz2bqmGd/kxfS0nv9rHgGa/ErynlQPW+vyJlR3ad/e5edsaXp8dYMTH03I+a67SWwDM5L/esCdvvtvAZry/zdaOa/abyE53nlcVIetPpeKrFhrVLbN1Lcr/d2Jy7z3bDh3zlvh5IpYwnis4TSRSBOBN2hNP5Fd+FISBSoCKcMuN0X2eQIO8Th27tyTZFdPfpWbaRPd/T/3FTulHZryTOD3+JHZfC6t/9jjiS+Y5BuRzBCw1oasAVQlFSQH4TXsyz3NnInqeO+ZGQvp0w9yxtzsmSOHEQ2YntgB29j8NuQai5DQt7XYrci1BotsHE+deJQFsZeJ0En8efmGA+lL6FsD3Qyx7cOscd2+WznnJqpax9+uNc4udypiMoNZ9iLCDzoOL7K0qRG1hEcdposFO2J1+HglgzMMJIlDtd6LgKxEAtgR/ElnZaCfYi+KWc6sm7TfArv/fXlV39pSnvhp22t4kdvo6PVZVDZj0q5qUp86FoWBY7atqd0clZyvsEdIEYCpAnsTEvu+EjNzFiT82sY77vmYlttvm18JPICreGJUH/04+vDiJNUC/97gM2rv8PrUN201ulX6dz7PtrL47VZPOmBkc+xbAi9MKwPPMTDRDmp4gWyeC6jsmkxSxk+qUzD1FBG9Mji9+izoYYV3X1mfydcb2zh/LysaGndcGuYcQ31mktDK33TEZdjRc9ceAbg5qJ3BKypvq3w1q03v9U4m6ut3BGn83mL7fXkF5yckjCAgY5z81ZiT3M5MkmgCjcTuyvmdror3Wf/2fheMEYJ2Un/Sg0U5MBLFuIj6xPz1NiG55mBDpg7apntPO6nMS0/e3d647ttwySY9pdwIo8WCOx7BXecagCvZ6Pk4Anud8Ep7ao70pED7PPd/eOKE+aFj3uG+7Xkhi6dj4KWAoRqfmQT4r0LGzq81pMM6jW2Xvwg3X4ygB+A3JyLN7w/mtOKm0MMHwXwvKtzxTwApwP/06Pw9HMTo9D6wqE2ljtZv6dcWJbQakombY0Np2ZfrMmJXxWFsYL8oEgPVAxQmJcucT1F0bjKqdndhusNEdf5qgVW9Q5vfuT8i4z/M7vyn0U2DN/Yk5PLX+GLhFpZweo/Q1wJ/6Iyna19Em931PP8S0nt9p+X8dv3tOrIejJm/SzFxnv2636zreErw7RcINSWjnfTexFdCtxiftTm0HoONb/bLbPl3Vodq/9NcAO2Ak3purfxl0Tj1s9zx7Eh2K1YduQGepIqeViBe3EBFW3xvW2/PctQWwU9GZIgETZCqyh8wbSiR2PhtQkfin5tgd87+n744PHz58+PDhw3Zc8S2ADx8+fPjw4cNefATgw4cPHz58+IP4CMCHDx8+fPjwB/ERgA8fPnz48OEP4iMAHz58+PDhwx/ERwA+fPjw4cOHP4iPAHz48OHDhw9/EB8B+PDhw4cPH/4gPgLw4cOHDx8+/EH8P7GBNLnijZiuAAAAAElFTkSuQmCC", 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" + ] }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 20 + "source": [ + "# --- Step 10: Display and save the result ---\n", + "cv2.imwrite((destination_folder / \"ldr_result.png\").absolute(), ldr_8bit)\n", + "\n", + "plt.imshow(ldr_8bit, cmap='gray', vmin=0, vmax=255)\n", + "plt.axis('off')\n", + "plt.show()" + ] } ], "metadata": { diff --git a/notebooks/grabstrategies.ipynb b/notebooks/basic-examples/grabstrategies.ipynb similarity index 100% rename from notebooks/grabstrategies.ipynb rename to notebooks/basic-examples/grabstrategies.ipynb diff --git a/notebooks/multicamera_handling.ipynb b/notebooks/basic-examples/multicamera_handling.ipynb similarity index 100% rename from notebooks/multicamera_handling.ipynb rename to notebooks/basic-examples/multicamera_handling.ipynb diff --git a/notebooks/utils/using_sequencer_utils.ipynb b/notebooks/contrib-examples/sequencer.ipynb similarity index 90% rename from notebooks/utils/using_sequencer_utils.ipynb rename to notebooks/contrib-examples/sequencer.ipynb index 923ac5d..b7a2754 100644 --- a/notebooks/utils/using_sequencer_utils.ipynb +++ b/notebooks/contrib-examples/sequencer.ipynb @@ -1,36 +1,41 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", - "source": "# Using the SequencerUtils", - "id": "9c7e365065270bff" + "id": "9c7e365065270bff", + "metadata": {}, + "source": [ + "# Using the SequencerUtils" + ] }, { + "cell_type": "code", + "execution_count": 1, + "id": "fa4ffc9cdc4f57a2", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T09:59:37.316411Z", "start_time": "2025-06-02T09:59:37.233352Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# import pylon and the sequencer utils\n", "from pypylon import pylon as py\n", - "from utils.sequencer.sequencer import CameraSequence, SinglePathSet, SequencerTransition" - ], - "id": "fa4ffc9cdc4f57a2", - "outputs": [], - "execution_count": 1 + "from pypylon_contrib.sequencer import CameraSequence, SinglePathSet, SequencerTransition" + ] }, { + "cell_type": "code", + "execution_count": 2, + "id": "17a13949edc8660a", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T09:59:38.138720Z", "start_time": "2025-06-02T09:59:37.320593Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# create a camera instance an open it\n", "my_cam = py.InstantCamera(py.TlFactory.GetInstance().CreateFirstDevice())\n", @@ -39,53 +44,55 @@ "# create a sequence object with the camera\n", "# this will be used to configure the sequencer\n", "sequence = CameraSequence(camera=my_cam)" - ], - "id": "17a13949edc8660a", - "outputs": [], - "execution_count": 2 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "#### Define the transitions to change the sequencer to the next set\n", - "id": "d0d95643b3f04a2c" + "id": "d0d95643b3f04a2c", + "metadata": {}, + "source": [ + "#### Define the transitions to change the sequencer to the next set\n" + ] }, { + "cell_type": "code", + "execution_count": 3, + "id": "fc594d2eaf58abf2", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T09:59:38.277999Z", "start_time": "2025-06-02T09:59:38.274958Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# if a software signal is triggerd (manual control)\n", "software_transition = SequencerTransition(trigger_source=\"SoftwareSignal1\", trigger_activation=\"NA\")\n", "# if an exposure is started (change every frame)\n", "next_frame_transition = SequencerTransition(trigger_source=\"ExposureStart\", trigger_activation=\"NA\")" - ], - "id": "fc594d2eaf58abf2", - "outputs": [], - "execution_count": 3 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "dc6d28b63fcbf67e", + "metadata": {}, "source": [ "### Setup three sets\n", "#### Remain in the \"Medium\" set until a software signal occur, than do a set with a \"Low\", and a set with a \"High\" exposure time\n", "#### Use \"auto_close_loop\" to return to the \"Medium\" set after the \"High\" set without explicitly setting the next set in the \"High\" set.\n" - ], - "id": "dc6d28b63fcbf67e" + ] }, { + "cell_type": "code", + "execution_count": 4, + "id": "78ac3d32f71a18d4", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T09:59:38.447986Z", "start_time": "2025-06-02T09:59:38.283752Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# appending the sets to the sequence will define the order of transition, if next_set_number is not explicitly set in the SinglePathSet\n", "sequence.append(SinglePathSet(name=\"Medium\", set_number=0, feature_set={\"ExposureTime\": 1000}, transition=software_transition))\n", @@ -96,27 +103,18 @@ "# This could also be done by setting the next set in the SetConstructor, like:\n", "# SinglePathSet(name=\"High\",set_number=2,next_set_number=0,feature_set={\"ExposureTime\": 5000}, transition=next_frame_transition)\n", "sequence.configure(auto_close_loop=True)" - ], - "id": "78ac3d32f71a18d4", - "outputs": [], - "execution_count": 4 + ] }, { + "cell_type": "code", + "execution_count": 5, + "id": "58763ec7e8d14b9c", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T09:59:38.460668Z", "start_time": "2025-06-02T09:59:38.456426Z" } }, - "cell_type": "code", - "source": [ - "# The sequence supports a string representation, which can be used to print the sequence in a human readable format.\n", - "# This is useful for debugging and understanding the sequence flow.\n", - "print(\"Sequence Configuration:\")\n", - "for i in sequence:\n", - " print(f\"\\t{i}\")" - ], - "id": "58763ec7e8d14b9c", "outputs": [ { "name": "stdout", @@ -129,47 +127,55 @@ ] } ], - "execution_count": 5 + "source": [ + "# The sequence supports a string representation, which can be used to print the sequence in a human readable format.\n", + "# This is useful for debugging and understanding the sequence flow.\n", + "print(\"Sequence Configuration:\")\n", + "for i in sequence:\n", + " print(f\"\\t{i}\")" + ] }, { + "cell_type": "code", + "execution_count": 6, + "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2025-06-02T09:59:38.726976Z", "start_time": "2025-06-02T09:59:38.537736Z" - } + }, + "collapsed": true }, - "cell_type": "code", - "source": "sequence.activate()", - "id": "initial_id", "outputs": [], - "execution_count": 6 + "source": [ + "sequence.activate()" + ] }, { + "cell_type": "code", + "execution_count": 7, + "id": "b11aba7f778500b8", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T10:00:29.551769Z", "start_time": "2025-06-02T10:00:29.548528Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# close the camera to allow access in the pylon viewer\n", "my_cam.Close()" - ], - "id": "b11aba7f778500b8", - "outputs": [], - "execution_count": 7 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "d8f48e799ac4a287", + "metadata": {}, "source": [ "The sequence is now configured and activated. You can now start the camera and it will automatically switch between the sets based on the defined transitions.\n", "You can easyly verify this by using the pylon viewer and start continuous acquisition. By using the software signal,\n", "the camera will change from Medium to Low and High exposure time, and return to Medium after the High set, waiting for the next software signal to change to Low again.\n" - ], - "id": "d8f48e799ac4a287" + ] } ], "metadata": { diff --git a/notebooks/utils/using_serial_communication_utils.ipynb b/notebooks/contrib-examples/serial_communication.ipynb similarity index 92% rename from notebooks/utils/using_serial_communication_utils.ipynb rename to notebooks/contrib-examples/serial_communication.ipynb index 0c63cf2..ecd2ca8 100644 --- a/notebooks/utils/using_serial_communication_utils.ipynb +++ b/notebooks/contrib-examples/serial_communication.ipynb @@ -1,52 +1,57 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", + "id": "e64d11890afc886b", + "metadata": {}, "source": [ "\n", "# Using the serial communication utils\n", "### This example shows how to use the BaslerSerial class to communicate with a serial device connected to a Basler camera." - ], - "id": "e64d11890afc886b" + ] }, { + "cell_type": "code", + "execution_count": 1, + "id": "cf8b9a400ca96105", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:24.136393Z", "start_time": "2025-06-02T21:43:24.042152Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "import time\n", "\n", "import serial\n", "from pypylon import pylon as py\n", - "from utils.serial_communication import BaslerSerial\n", + "from pypylon_contrib.serial_communication import BaslerSerial\n", "\n", "import logging\n", "logger = logging.getLogger()\n", "logger.setLevel(logging.INFO)" - ], - "id": "cf8b9a400ca96105", - "outputs": [], - "execution_count": 1 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "Create a BaslerSerial instance by passing the camera instance and the serial port parameters.", - "id": "447ca264f53cc3ad" + "id": "447ca264f53cc3ad", + "metadata": {}, + "source": [ + "Create a BaslerSerial instance by passing the camera instance and the serial port parameters." + ] }, { + "cell_type": "code", + "execution_count": 2, + "id": "d317ae7b51223322", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:24.982688Z", "start_time": "2025-06-02T21:43:24.139515Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "\n", "my_camera = py.InstantCamera(py.TlFactory.GetInstance().CreateFirstDevice())\n", @@ -58,25 +63,27 @@ " bytesize=8,\n", " parity=serial.PARITY_NONE,\n", " timeout=1,)" - ], - "id": "d317ae7b51223322", - "outputs": [], - "execution_count": 2 + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "Create a Serial instance by passing port name and the serial port parameters.\n", - "id": "5da05a8354a288d5" + "id": "5da05a8354a288d5", + "metadata": {}, + "source": [ + "Create a Serial instance by passing port name and the serial port parameters.\n" + ] }, { + "cell_type": "code", + "execution_count": 3, + "id": "42771fe567370046", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:25.712889Z", "start_time": "2025-06-02T21:43:25.588323Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "\n", "port_serial = serial.Serial(\"COM7\",\n", @@ -84,25 +91,18 @@ " bytesize=8,\n", " parity=serial.PARITY_NONE,\n", " timeout=1)" - ], - "id": "42771fe567370046", - "outputs": [], - "execution_count": 3 + ] }, { + "cell_type": "code", + "execution_count": 4, + "id": "4da8ed3ba4c8de9c", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:25.722211Z", "start_time": "2025-06-02T21:43:25.719156Z" } }, - "cell_type": "code", - "source": [ - "# Both serial ports have nearly the same API, so you can use them interchangeably and replace a standard serial.Serial instance with a BaslerSerial.\n", - "print(cam_serial)\n", - "print(port_serial)" - ], - "id": "4da8ed3ba4c8de9c", "outputs": [ { "name": "stdout", @@ -113,26 +113,45 @@ ] } ], - "execution_count": 4 + "source": [ + "# Both serial ports have nearly the same API, so you can use them interchangeably and replace a standard serial.Serial instance with a BaslerSerial.\n", + "print(cam_serial)\n", + "print(port_serial)" + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "30db54c4f041ab23", + "metadata": {}, "source": [ "### Writing a message via the camera serial port and read it back from the serial device.\n", "The amount of write data is unlimited, due to host side buffering,\n", "but if the message is larger than the camera's tx buffer, the write will block until the message is sent completely." - ], - "id": "30db54c4f041ab23" + ] }, { + "cell_type": "code", + "execution_count": 5, + "id": "c45a055e984508d8", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:26.366269Z", "start_time": "2025-06-02T21:43:25.739784Z" } }, - "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bytes written: 95\n", + "Bytes waiting: 95\n", + "Send message : b'Sending a test message from Camera to serial device, without limitation due to host side buffer'\n", + "Received message: b'Sending a test message from Camera to serial device, without limitation due to host side buffer'\n", + "Camera Status: []\n" + ] + } + ], "source": [ "\n", "test_message_write = b\"Sending a test message from Camera to serial device, without limitation due to host side buffer\"\n", @@ -154,41 +173,41 @@ "\n", "# check the status of the camera serial port\n", "print(f\"Camera Status: {cam_serial.check_status(assert_ok=False)}\")" - ], - "id": "c45a055e984508d8", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Bytes written: 95\n", - "Bytes waiting: 95\n", - "Send message : b'Sending a test message from Camera to serial device, without limitation due to host side buffer'\n", - "Received message: b'Sending a test message from Camera to serial device, without limitation due to host side buffer'\n", - "Camera Status: []\n" - ] - } - ], - "execution_count": 5 + ] }, { - "metadata": {}, "cell_type": "markdown", + "id": "68a68a09f135d176", + "metadata": {}, "source": [ "### Writing a message via the serial device and read it back from the camera port.\n", "The amount of read data is limited, if no thread is calling \"receive\" periodically to pull the data from the camera.\n", "If the message is larger than the camera's rx buffer, the read will be incomplete and the camera will report an overflow error." - ], - "id": "68a68a09f135d176" + ] }, { + "cell_type": "code", + "execution_count": 6, + "id": "4c4358bbaa9dd343", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:26.490397Z", "start_time": "2025-06-02T21:43:26.381484Z" } }, - "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bytes written: 15\n", + "Bytes waiting: 15\n", + "Send message : b'Sending message'\n", + "Received message: b'Sending message'\n", + "Camera Status: []\n" + ] + } + ], "source": [ "\n", "\n", @@ -215,41 +234,26 @@ "# check the status of the camera serial port, due to the limitation of the camera rx buffer,\n", "# this could be \"RX_FIFO_OVERFLOW\" if len(test_message_write) > my_camera.camera.BslSerialTransferLength.Max\n", "print(f\"Camera Status: {cam_serial.check_status(assert_ok=False)}\")" - ], - "id": "4c4358bbaa9dd343", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Bytes written: 15\n", - "Bytes waiting: 15\n", - "Send message : b'Sending message'\n", - "Received message: b'Sending message'\n", - "Camera Status: []\n" - ] - } - ], - "execution_count": 6 + ] }, { + "cell_type": "code", + "execution_count": 7, + "id": "938bab4bcfc8efc", "metadata": { "ExecuteTime": { "end_time": "2025-06-02T21:43:26.511409Z", "start_time": "2025-06-02T21:43:26.505983Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Close the serial ports and the camera.\n", "cam_serial.close() # Warning: closing the camera serial port will automatically close the camera, only marks the serial port as closed\n", "my_camera.Close() # Warning: closing the camera will not automatically mark the serial port as closed, if BaslerSerial instance is still open\n", "\n", "port_serial.close()" - ], - "id": "938bab4bcfc8efc", - "outputs": [], - "execution_count": 7 + ] } ], "metadata": { diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..f5f8540 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,80 @@ +[build-system] +requires = ["setuptools>=61.0", "build", "setuptools-scm"] +build-backend = "setuptools.build_meta" + + +[project] +name = "pypylon-contrib" +description = "Contrib package for the Basler pylon Camera Software Suite 'pypylon'" +readme = "README.md" +requires-python = ">=3.9" +license = {file = "LICENSE"} +authors = [ + {name = "Thies Moeller", email = "thies.moeller@baslerweb.com"}, + {name = "Sebastian Koell", email = "sebastian.koell@baslerweb.com"} +] + + +dynamic = ["version"] + +dependencies = [ + "pypylon", + "numpy", + "opencv-python", + "pyserial", +] + +[project.optional-dependencies] +dev = [ + "ruff", + "pylint", + "pytest", +] +notebook = [ + "jupyterlab", + "notebook", + "pandas", + "matplotlib", + "scikit-image", + "ipywidgets", +] + +[tool.setuptools] +package-dir = {"" = "src"} + +[tool.setuptools.packages.find] +where = ["src"] +include = ["pypylon.contrib*"] +namespaces = true + +[tool.setuptools_scm] +version_scheme = "guess-next-dev" +local_scheme = "node-and-date" + +[tool.ruff] +line-length = 120 +target-version = "py39" +lint.select = ["E", "F", "B", "I"] +lint.ignore = [] + +# Ignore `F401` (imported but unused) in all `__init__.py` files. +[tool.ruff.lint.per-file-ignores] +"__init__.py" = ["F401"] + + +[tool.pylint.messages_control] +disable = [ + "logging-fstring-interpolation" +] + +[tool.pylint.format] +max-line-length = 120 + +[tool.pylint.basic] +good-names = ["i", "j", "k", "ex", "Run", "_", "id"] + +[tool.pylint.similarities] +min-similarity-lines = 4 +ignore-comments = true +ignore-docstrings = true +ignore-imports = true \ No newline at end of file diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 0000000..31ccf36 --- /dev/null +++ b/pytest.ini @@ -0,0 +1,7 @@ +[tool:pytest] +minversion = 6.0 +testpaths = tests +python_files = test_*.py *_test.py +python_functions = test_* +filterwarnings = + ignore::DeprecationWarning:*swigvarlink* diff --git a/samples/USB_linescan_performance_demo_opencv.py b/samples/USB_linescan_performance_demo_opencv.py deleted file mode 100644 index 3a15821..0000000 --- a/samples/USB_linescan_performance_demo_opencv.py +++ /dev/null @@ -1,62 +0,0 @@ -import pypylon.pylon as py -import numpy as np -import cv2 - -# this sample has been tested with a Basler acA1920-155uc -# type 'q' or 'ESC' in the window to close it - -# the camera is configured to run at high framerate with only two lines hight -# the acquired rows are concatenated as a virtual frame and this frame is displayed - -SCANLINE_HEIGHT = 2 -VIRTUAL_FRAME_HEIGHT = 1000 - -tlf = py.TlFactory.GetInstance() - -cam = py.InstantCamera(tlf.CreateFirstDevice()) -cam.Open() - -# setup center scan line -cam.Height = SCANLINE_HEIGHT -cam.Width = cam.Width.Max -cam.CenterX = True -cam.CenterY = True - -# setup for -cam.PixelFormat = "BGR8" -cam.Gain = 20 -cam.ExposureTime = 900 -print("Resulting framerate:", cam.ResultingFrameRate.Value) - -cam.StartGrabbing() - -img = np.ones((VIRTUAL_FRAME_HEIGHT, cam.Width.Value, 3), dtype=np.uint8) -missing_line = np.ones( - (SCANLINE_HEIGHT, cam.Width.Value, 3), dtype=np.uint8)*255 -image_idx = 0 -while True: - for idx in range(VIRTUAL_FRAME_HEIGHT // SCANLINE_HEIGHT): - with cam.RetrieveResult(2000) as result: - if result.GrabSucceeded(): - with result.GetArrayZeroCopy() as out_array: - img[idx * SCANLINE_HEIGHT:idx * - SCANLINE_HEIGHT + SCANLINE_HEIGHT] = out_array - else: - img[idx * SCANLINE_HEIGHT:idx * SCANLINE_HEIGHT + - SCANLINE_HEIGHT] = missing_line - print(idx) - - img_rgb = img - - # Display the resulting frame - cv2.imshow('Linescan View', img_rgb) - - image_idx += 1 - if cv2.waitKey(1) & 0xFF in (ord('q'), 27): - break - -# When everything done, release the capture -cam.StopGrabbing() -cv2.destroyAllWindows() - -cam.Close() diff --git a/src/pypylon/contrib/__init__.py b/src/pypylon/contrib/__init__.py new file mode 100644 index 0000000..7c8cee9 --- /dev/null +++ b/src/pypylon/contrib/__init__.py @@ -0,0 +1,6 @@ +"""Pypylon Contrib Package""" + +try: + from .version import __version__ +except ImportError: + __version__ = "0.0.0" diff --git a/src/pypylon/contrib/sequencer/__init__.py b/src/pypylon/contrib/sequencer/__init__.py new file mode 100644 index 0000000..3b92bce --- /dev/null +++ b/src/pypylon/contrib/sequencer/__init__.py @@ -0,0 +1,3 @@ +"""Sequencer Control Class for Basler Cameras Ace2/BoostR""" + +from .sequencer import CameraSequence, SequencerTransition, SinglePathSet diff --git a/utils/sequencer/sequencer.py b/src/pypylon/contrib/sequencer/sequencer.py similarity index 94% rename from utils/sequencer/sequencer.py rename to src/pypylon/contrib/sequencer/sequencer.py index 507f3be..034ad9a 100644 --- a/utils/sequencer/sequencer.py +++ b/src/pypylon/contrib/sequencer/sequencer.py @@ -1,10 +1,11 @@ +"""Sequencer Control Class for Basler Cameras Ace2/BoostR""" + import logging from dataclasses import dataclass -from typing import Literal, Dict, List +from typing import Dict, List, Literal from pypylon import pylon as py - logging.basicConfig(level=logging.INFO) @@ -58,7 +59,7 @@ def __init__(self, camera: py.InstantCamera): try: self._camera.SequencerMode.Value = "Off" except py.LogicalErrorException as error: - raise RuntimeError(f"The camera did not support sequencing!") from error + raise RuntimeError("The camera did not support sequencing!") from error self._sequence: List[SinglePathSet] = [] @@ -72,6 +73,7 @@ def __iter__(self): return iter(self._sequence) def append(self, seq_set: SinglePathSet): + """Append a new set to the sequence""" self._sequence.append(seq_set) def __delitem__(self, index): @@ -196,6 +198,10 @@ def deactivate(self): # By using auto close loop, we return into the "Medium" Set after leaving set: "High" automatically. # This could also be done by setting the next set in the SetConstructor, like: - # SinglePathSet(name="High",set_number=2,next_set_number=0,feature_set={"ExposureTime": 5000}, transition=next_frame_transition) + # SinglePathSet(name="High", + # set_number=2, + # next_set_number=0, + # feature_set={"ExposureTime": 5000}, + # transition=next_frame_transition) sequence.configure(auto_close_loop=True) sequence.activate() diff --git a/utils/serial_communication/__init__.py b/src/pypylon/contrib/serial_communication/__init__.py similarity index 64% rename from utils/serial_communication/__init__.py rename to src/pypylon/contrib/serial_communication/__init__.py index d9a9d48..0721955 100644 --- a/utils/serial_communication/__init__.py +++ b/src/pypylon/contrib/serial_communication/__init__.py @@ -1,8 +1,11 @@ """Basler Serial Communication""" import serial + from .serial_communication import BaslerSerial + def basler_cam_uart(camera, *args, **kwargs): + """Create a BaslerSerial instance""" return BaslerSerial(camera, *args, **kwargs) -serial.protocol_handler_packages.append("serial_communication") \ No newline at end of file +serial.protocol_handler_packages.append("serial_communication") diff --git a/utils/serial_communication/serial_communication.py b/src/pypylon/contrib/serial_communication/serial_communication.py similarity index 98% rename from utils/serial_communication/serial_communication.py rename to src/pypylon/contrib/serial_communication/serial_communication.py index 309d085..4610a91 100644 --- a/utils/serial_communication/serial_communication.py +++ b/src/pypylon/contrib/serial_communication/serial_communication.py @@ -1,14 +1,14 @@ """Basler Serial Communication""" +import logging import time -from typing import Union, Optional, Generator +from typing import Generator, Optional, Union import serial + from pypylon import pylon as py from pypylon.pylon import InvalidArgumentException, RuntimeException -import logging - logging.basicConfig( level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s" @@ -62,6 +62,7 @@ class BaslerSerial(serial.SerialBase): # pylint: disable=too-many-arguments # pylint: disable=too-many-positional-arguments def __init__(self, + *args, camera: py.InstantCamera, rx_line: str = "Line2", tx_line: str = "Line3", @@ -71,7 +72,7 @@ def __init__(self, stop_bits: int = 1, timeout: float = 1.0, timeout_interval: float = 0.1, - *args): + ): """Initializes the BaslerSerial instance and configures the camera settings. @@ -92,7 +93,7 @@ def __init__(self, port = f"Basler_{camera.GetDeviceInfo().GetSerialNumber()}" - + # ruff: noqa: B026 super().__init__(port=port, baudrate=baudrate, bytesize=bytesize, @@ -136,8 +137,7 @@ def close(self, close_camera=False): """ if not (close_camera or self.camera.IsOpen()): return - else: - self.camera.Close() + self.camera.Close() def flush(self): """Block until TX-Buffer is empty""" @@ -217,7 +217,8 @@ def configure_frame(self, baud_rate: int, data_bits: int, parity: str, stop_bits # store the parity in the serial.SerialBase format self._parity = {v: k for k, v in serial.PARITY_NAMES.items()}[parity] self._stopbits = stop_bits - logger.debug(f"Configured Serial Frame: Baudrate: {baud_rate}, Data Bits: {data_bits}, Parity: {parity}, Stop Bits: {stop_bits}") + logger.debug(f"Configured Serial Frame: Baudrate: {baud_rate}, Data Bits: {data_bits}, \ + Parity: {parity}, Stop Bits: {stop_bits}") @property def out_waiting(self) -> int: diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..873f5c6 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +# Tests package for pypylon-contrib diff --git a/tests/test_contrib_namespace.py b/tests/test_contrib_namespace.py new file mode 100644 index 0000000..7f2cc07 --- /dev/null +++ b/tests/test_contrib_namespace.py @@ -0,0 +1,8 @@ +"""Tests for pypylon contrib namespace.""" + + +def test_contrib_namespace_accessible(): + """Test that contrib namespace can be accessed.""" + import pypylon.contrib + + assert pypylon.contrib is not None diff --git a/tests/test_sequencer.py b/tests/test_sequencer.py new file mode 100644 index 0000000..5501310 --- /dev/null +++ b/tests/test_sequencer.py @@ -0,0 +1,59 @@ +"""Tests for pypylon contrib sequencer module.""" + +from unittest.mock import Mock + + +def test_sequencer_module_import(): + """Test that sequencer module and classes can be imported.""" + from pypylon.contrib.sequencer.sequencer import CameraSequence, SequencerTransition, SinglePathSet + + assert SequencerTransition is not None + assert SinglePathSet is not None + assert CameraSequence is not None + + +def test_sequencer_transition_creation(): + """Test SequencerTransition creation and basic functionality.""" + from pypylon.contrib.sequencer.sequencer import SequencerTransition + + # Default values + transition = SequencerTransition() + assert transition.trigger_source == "Off" + assert transition.trigger_activation == "NA" + + # Custom values + transition2 = SequencerTransition(trigger_source="SoftwareSignal1", trigger_activation="RisingEdge") + assert transition2.trigger_source == "SoftwareSignal1" + assert transition2.trigger_activation == "RisingEdge" + + +def test_single_path_set_creation(): + """Test SinglePathSet creation and auto-increment behavior.""" + from pypylon.contrib.sequencer.sequencer import SinglePathSet + + path_set = SinglePathSet(feature_set={"ExposureTime": 1000}, set_number=0) + + assert path_set.feature_set == {"ExposureTime": 1000} + assert path_set.set_number == 0 + assert path_set.next_set_number == 1 # Auto-increment + + +def test_camera_sequence_basic_operations(): + """Test CameraSequence basic list operations.""" + from pypylon.contrib.sequencer.sequencer import CameraSequence, SinglePathSet + + # Mock camera + mock_camera = Mock() + mock_camera.SequencerMode = Mock() + mock_camera.SequencerMode.Value = "Off" + + sequence = CameraSequence(camera=mock_camera) + + # Test initial state + assert len(sequence) == 0 + + # Test append + path_set = SinglePathSet(feature_set={"ExposureTime": 1000}, set_number=0) + sequence.append(path_set) + assert len(sequence) == 1 + assert sequence[0] == path_set diff --git a/tests/test_serial_communication.py b/tests/test_serial_communication.py new file mode 100644 index 0000000..06191db --- /dev/null +++ b/tests/test_serial_communication.py @@ -0,0 +1,59 @@ +"""Tests for pypylon contrib serial_communication module.""" + +import pytest + + +def test_serial_communication_module_import(): + """Test that serial_communication module and classes can be imported.""" + from pypylon.contrib.serial_communication.serial_communication import BaslerSerial, timeout_generator + + assert BaslerSerial is not None + assert timeout_generator is not None + + +def test_timeout_generator_basic(): + """Test basic timeout_generator functionality.""" + from pypylon.contrib.serial_communication.serial_communication import timeout_generator + + # Test with short timeout + results = [] + for is_active in timeout_generator(0.001): + results.append(is_active) + if len(results) > 10: # Safety break + break + + assert len(results) > 0 + assert results[0] is True # First yield should be True + assert results[-1] is False # Last yield should be False + + +def test_timeout_generator_none_timeout(): + """Test timeout_generator with None (never timeout).""" + from pypylon.contrib.serial_communication.serial_communication import timeout_generator + + count = 0 + for is_active in timeout_generator(None): + assert is_active is True + count += 1 + if count >= 3: # Just test a few + break + + assert count == 3 + + +def test_timeout_generator_raise_error(): + """Test timeout_generator with raise_error=True.""" + from pypylon.contrib.serial_communication.serial_communication import timeout_generator + + with pytest.raises(TimeoutError): + for _ in timeout_generator(0.001, raise_error=True): + pass + + +def test_basler_serial_inheritance(): + """Test BaslerSerial inherits from serial.SerialBase.""" + import serial + + from pypylon.contrib.serial_communication.serial_communication import BaslerSerial + + assert issubclass(BaslerSerial, serial.SerialBase) diff --git a/utils/sequencer/__init__.py b/utils/sequencer/__init__.py deleted file mode 100644 index e69de29..0000000