82 lines
42 KiB
Markdown
82 lines
42 KiB
Markdown
---
|
||
title: 'windows安装tensorflow和pytorch'
|
||
date: 2023/2/5 9:40
|
||
tags: ['机器学习框架','tensorflow','pytorch']
|
||
categories: ['软件用法']
|
||
---
|
||
## windows安装tensorflow和pytorch
|
||
|
||
gpu驱动下载地址:<https://www.nvidia.cn/Download/index.aspx?lang=cn>
|
||
cuda下载地址:<https://developer.nvidia.com/cuda-toolkit-archive>
|
||
cudnn下载地址:<https://developer.nvidia.com/rdp/cudnn-archive>
|
||
- 安装GPU驱动
|
||
在英伟达官网下载显卡型号对应的驱动,安装后打开cmd输入`nvidia-smi`会显示显卡信息,查看cuda version的版本
|
||
|
||
- 安装cuda toolkit
|
||
下载小于等于之前查到cuda版本的安装包进行安装,默认安装即可
|
||
|
||
- 安装cudnn
|
||
下载和cuda版本对应的cudnn,将压缩包解压后,将bin、include、lib三个文件夹拷贝到cuda安装路径，默认在`C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6`目录下,和原有的bin、include、lib目录合并即可
|
||
|
||
### 安装tensorflow-gpu版
|
||
- 安装
|
||
```shell
|
||
pip install --upgrade pip
|
||
pip install tensorflow-gpu
|
||
# 将cuda程序添加到环境变量, 可以先查看环境变量有没有, 没有在添加
|
||
SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\bin;%PATH%
|
||
SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\extras\CUPTI\lib64;%PATH%
|
||
SET PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\include;%PATH%
|
||
SET PATH=C:\tools\cuda\bin;%PATH%
|
||
```
|
||
|
||
- 验证安装
|
||
```python
|
||
import tensorflow as tf
|
||
|
||
tf.test.is_gpu_available() # 输出为True,即成功
|
||
a = tf.constant(2.)
|
||
b = tf.constant(4.)
|
||
a * b
|
||
```
|
||
|
||
|
||
|
||
|
||
### 安装pytorch
|
||
|
||
1. 安装pytorch的gpu版
|
||
|
||
> 官网下载地址:<https://pytorch.org/get-started/locally/>
|
||
[image][pytorch_install]
|
||
> - 使用conda安装时最好指定虚拟环境的路径和python版本,否则容易安装到conda默认的base环境下,python版本被升级,加上`--prefix 虚拟环境的路径`或`-p 路径`参数指定路径
|
||
> - 例如:
|
||
cuda版本11.6
|
||
安装命令为：`conda install -p d:/envpath pytorch torchvision torchaudio pytorch-cuda==11.6 python==3.9.13 -c pytorch -c nvidia`
|
||
**安装过程比较耗时,根据个人电脑性能、网络时长不定。如果使用国内conda源安装最好不要使用最新版,有可能还没同步,建议比官方最新**
|
||
2. 验证gpu安装
|
||
|
||
```python
|
||
import torch
|
||
# 查看pytorch的版本,输出安装的版本号没有＋cpu字样
|
||
print(torch.__version)
|
||
|
||
# 检查是否可以使用gpu,输出为True即可使用gpu
|
||
print(torch.cuda.is_available())
|
||
|
||
# 检查cuda版本
|
||
print(torch.version.cuda)
|
||
|
||
# 获取可用gpu个数
|
||
print(torch.cuda.device_count())
|
||
|
||
# 获取gpu属性
|
||
print(torch.cuda.get_device_properties('cuda:0'))
|
||
|
||
# 获取gpu名称
|
||
print(torch.cuda.get_device_name('cuda:0'))
|
||
```
|
||
|
||
[pytorch_install]:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+MAAAFxCAYAAAAYtXmxAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAHRrSURBVHhe7b3dUxTX2r///Veeg+/Bt+r5I3L6VO1K1XOQo5ykap8k9QAlKCRiFBW0kPgSJcr2h48bjS8RC8n2LTGKiaRCtHBvJ+VLxApmE+JLxKiAjojC/Vv9MsOaNfcMw8yA0+11VV2l031PT/cwPb0+s7pX/x8BAAAAAAAAgCWFMA4AAAAAAACwxBDGAQAAAAAAAJYYwjgAAAAAAADAEkMYBwAAAAAAAFhiCOMAAAAAAAAASwxhHAAAAAAAAGCJIYwDAAAAAAAALDGEcQAAAAAAAIAlhjAOEFEe/eU/ERExZrpMPn2OiIgx0iZvGL/8z598AaDy0BpxiIgYbV20hhwiIkZXG8I4QETRGnGIiBhtXbSGHCIiRlcbwjhARNEacYiIGG1dtIYcIiJGVxvCOEBE0RpxiIgYbV20hhwiIkZXG8I4QETRGnGIiBhtXbSGHCIiRlcbwjhARNEacYiIGG1dtIYcIiJGVxvCOEBE0RpxiIgYbV20hhwiIkZXG8I4QETRGnGIiBhtXbSGHCIiRlcbwjhARNEacYiIGG1dtIYcIiJGVxvCOEBE0RpxiIgYbV20hhwiIkZXG8I4QETRGnGIiBhtXbSGHCIiRlcbwjhARNEacYiIGG1dtIYcIiJGVxvCOEBE0RpxiIgYbV20hhwiIkZXG8I4QETRGnGIiBhtXbSGHCIiRlcbwjhARNEacYiIGG1dtIYcIiJGVxvCOEBE0Rpxle0Gmbp5UabatHm2hdYtzPG2Q/Jy+Kw8e0+fX7m+K89/uiHT+/4qT9T5iBgnXbSGHJbRO1fkSPte+faeMm9RfCDX+wdkaEybV4g35XjH5/LNsDYv06HundJxbkQeK/MQ8fVpQxgvE+O/DMrgSDJ8VHncPrNHDvbfDx/l5uGlbtlx/Hr4CCoZrRFXqk9au+TlHxMyG76GvJqS2T8S8uLABzKu1C/MLnklYzK9RZtnW2hd4U703JBZsy2vzjZY2/G2TLTvkBc//W628aw8terzOd6wRpIXLsrM+O/Z6/jeX+XZWW/eVPgGisyaupdfLisgSOdan7dkYl+/zLwSmfl+DYEcMea6aA254r0g7VXVUmVb1yDr27+Uy3e0+ph786isr6mW9QeuyN0JE16/aDLvSaN0XVFqfYP3r/07bV6hestokiO3tHmFWPjzHw+fkW0fVsuKnRfkrjIfEV+PNkscxgekwz0ILG+Qll0n5NrjsKQARnvWZi4jh009o+EzFp+BXcW+3qgcW6esf/1a2dJzXcZnwrISKXT9/Pd210D4CCoZrRFXklvOyox4gXWNTLwfTPOC5/MBE2TvnpJJt37Bvp4w/qSz3wTxMXm5993MeRtOycyLCZkZmzBvZqFhfJm8uOv9QDEms8o6jp8aNuE7IVOdy2Tc64F/7x2ZPGDCufe+dr+TUZvlPOvz5GPzvrzwAnlDxnREjJcuWkOueLOD3NivV+X0zkapqmmWIzft2kV05EtZb9o67d9N6vOXwpE+aatvkG1fj6SnBWHctMGaDsuQCecZ9b5OGC9qO5YujPs+uSkHTTtzxc4BGdPmI+KSa/MawvhaOWZlwuT9Ien72ypzEGiRYyPhxIUy2itNznKXmlLDeMeP4UOfaUn+2i8dH1dLvQnG4+HUgnlwQlrMwaHjx+lwAmE8jmiNuFJMXjch8+bueXtenw6MiQx3FdFD+xrCeO1uE2BNEO5xgrhtz40FhPGUOdbxvbfU98V7b+VWV9Z01Tzr8+TTszLzyrzup29lzUPEeOiiNeSKN1eQeyDfbq+VqtYz8lvG9Lj6ixwxba/1X/ySMd0P49s/l66V1bL6UOa8QCeMF2WhYTqoO5j1A8kCw7jnPfOc+gaz3g/0+Yi4pNq89jAeMC4Dn9VJVVufPAynLIjYhfGQnw9JfdUm+frP8HEJEMbjh9aIK8Xnt0RmL61R56V9/11JXpkoPFhmOBdgn9T8VZ4dOCRTB9bIRI0bLMsVxt8KfmAY7pIJdX5oOcO46lvy/KZZj+s7lHmKedfnLXl2aUzkj3KcqYCIlaiL1pAr3jxB7vx2qarZKd+702Pob/9oVXu//TDefkEmr3wuK70zBbLeJ+/9W5owPnbnjGxT64oI48a75u+7rH6vXFR7/BFxKbWpkDBu+KHdHAQ6ZDB8uCDiGsZnBmRHmbYr5/pNJ+V2ol8u9Cfk9uMkYTxCaI24UvR7vF/ckOcf5+p1bZDpR+GL23jB/L135Nnxfnk1ZkJnOFleTMirgU+sIOwFWDPt+rB//fbs0wmZfeEVTsmrU/Y11VrQfVeSF27IjF9veDE2/3XYtYf815vepcyzXdQw/rY8Pett75i8KPTHhfnWp9a8tnlv590uRIykLlpDrnhzB7mxrzdLVZ0Ja/7jQdlT7522PiLfdjTJsppq00arnTsd+94V6WkPp5twuqxpt3z7a7icb0yoTy/H9o4c31gtKw/cNP8Pl++sx/D5vbJxZXi5Xk2jtH1xJbzW+ZF8s828TudgRr0XmldUNWRd432xs1aqNp/JcVr2TTloXmPbN4+y5qXDuPn/xc4GqVp3VIYyatwwnr0dd/95VNpWmdf3tsG4Yt1m6ejYHXjC2/bwb3BtRL7Z2yor68LtXblZjqd6wb/bmX7+nKm/29zf0P+bffi5JMLXntN+r1PTfpEjTfp2I+LSalMxYTx5fqtULd8nCRmSgx9Vy5bzymBoiX1SW9MuF9xZ+cL4zLhcO9khLfXhl1lNnTRu6826Rj2xv0FaTFi998MeaVoe1Nb+bUBSJ3pP3+2XrrZV5vXD5dSvldb9A+me/CDs3pZ7/fuk9eO68LVWyZav5kvSecL4v/ZI7fI9kkhdN55zO933NSFd9S0ZddlhfFpun9wq9WZ7aj9aJY2Nq/z/V3kSxiOB1ogryffWyLTJ4x6zw2fnrnt26vzQ7vaMv7dbps1znrf/NXzO2zLR2e9fK/3ycCrcewHW7JJXdshEerlhWDWh+WWnXWcH3Xfl+a0ps8EXJbn+bfP4LRnf7S1bTIjPffq5d/22jBXQg7wIYXxukLcpmbnZI89y/sChOO/6hD3tVz5R5iFi1HXRGnLFmyuMP5DTm83xf1tfGGC9ugZZv65JNvZelTGvN3Xsjtz1RgD3T3mulvX7B+W3J+bxxCNJHGo27YfNctobkXzCzDfBveNHbzmW/vXVzdIz4j3OXo+hL8wy6rfL6ZtBWHw80ue/zsr9V/3HWvD02m5eeyszpF+Vrg+rZeM/7ljTLL0AX7db7SG2w/jkhBe03eV4622HcWc7Lu2VFTXN0nXpTjCC+ZM7cnG/2a5lm+XguT755oq3rGAZVR+2ypFLI8F7O/FALu81r53Rc539HmVNH+uTbfO+13P+1mvWJeePFIi4VNpUzGnqfdvMF9P2fvFy9u0jq6Rqw4msU9YT/1sntf+bCB9Z5Ayp4yaEmi/qDd2SuB8m+OR9SRxpMQeNzGvUvbBa39wiTW0nZMgrnUnKw8fhc0Z6paWmQXacuy3JMJ0nH9+WCyczw3iVqWntSci98GnjV/eZ9WqQLmWV51DCuHnte4leaf2owUy3rhgvOIxnv89uGH/41Sb/Pej+Ze66cu+Hi0Hvl2DCeCTQGnGla8Jxz1m/h9vnlde7bYfnHGFcNehJnxlIDTiWK8C+I1P/Nq9llhn0dGfWPTmQkFmvx77Bfk64HnlO1/ZPUZ/vtHvPsodx5wyCV14g75JJ5YcN1QLW58mXxawzIkZBF60hV7zZAS89gFv9Tuv2XkFgXOH2RBu9HuNl293RuYNe11Rwvbi71gr2gdcPmNfICPvWeoyclI01yvXRXg9xqpd91NRUNcrBa6n5Xug2baxeJ1zfOiqrq1rl+GiqLlP/FHWz/tq8jDBuHPthpwnXZlnpUBu8L7nC+Pc7zXsW/ngwp7eetbLnUupx8JysbR07I20ZfxvnPUqbOd1/r6119vRDd/OX2df/3zwsq9+QSxEQK1mbyhnArb5DBlK50x+AzAmdMwnpXF4nnf8KH9vkCKnJ79rNcvfN9SxbJP5uQmcY/j38MK3W3pbuxvlPQffD7lG3Jun/yJD/uUEY93vSM2yQLceHMkdTL1cY999L7+yD7KHhOE09OmiNuLL6/gf+qeGzr0RmTVBOnW7uX1ue4/rn8bYd8uLysMw8nTtdff4wHvZij/fLM6XOD9Xa6+UNrSbgm4/7qy8L6JFehDA+dblHnnoj0vujqZ/1T6+fvbW7sNvDFbI+n/bL7IuEJLV5iBhpXbSGXPEGYdJubyz7sEk27u2TYa+XO6NOGzxsUPbU2cFyzm/bq2V1akC0a4dlZUbPrHtqeGag9APyxpPZ4dEP1jvlW/9xcOp1+jW8Hm6/p9xb9lzvsN+D3uSeXj6n15uuD86WHcb9ge3aTXtx85nwx4fg/Vt4GDfP+SH1OPM5czrTh4/KevVHBafOex9qtss36fuW5z4N3ztrYVueHyoQcWm0eQ1hPPMgUPuRd7p3v9yzOmhTIbbxyO3wcRisG7tNNFbIEVIHPquW+kND4SMHf3C0dhkIw64epg0j3WbZ8w+i5vY8p8g1fQ79NPX0jxQfWT9SlCuM+9u+VfpSv0RYEMajg9aIWwyfdF7MuI2XF8bnAnbKt+TZ99457lMy89Mped7ZIBM1awrsGTd6AVRuyPOsuhzXqafI2TMePO9VjzbPsexhPNsnhxPmPRyWqVp9foaFrI9/G7rU+4WIcdJFa8gVb64g6Jqjzg+Ime0427lTuu9IT3O1rO8NH/+4W5ZlnBqeuXwvxGrL87WuP/fDchjavVCduiba63Vftjvoxc/4UUAx3/zsMG68ZwJsXa1sO++NRO6tdxGnqS/09HPvccYPEbbu84Pw3fZ1GL69H0JynIaf+7URcSm1qZwB3Bz88P3RIQmidFIubK+WlpM5xlpXQ2oQcnMGYec5OUPzjx3mYGACcfgwF+UO4wEP5cQG6/nlCuN5tokwHh20Rtzi6AXPuWCrhnHvHtkZ1317Fnqa+n/K5PnfrQBq130gL/7Qwv98vs6ecUU/PBdYT8844huti9aQK95Cw1iOOv9U8cLCnD+Q28rDct383zuVOnMwsczl+wOuuSFY0w+om+X0mNfbbJ2y7gXQGhNcveu867IHdLNdWM94oD8Sed12+da7Xj5fGH86KYmuJln2YXAtuzfo3crNR+XyndR87Tk5phccxjNPS/e2L2ugu5T0jCNWhDYVG8YzTktP9smWfL3TRfeMzwXSnKH5NfWMp/Cenw7H5Qrj3kB49IxHHq0RV4pP3ssRXP2g/bu8aAoeq2E8o2c7ZaFhPKibvbwhfJxZ9+zyhNnYfnlW6DXXof7p7YUMcrYEYXzcvIYXnp8Xsg0FrI9/Wj+3N0OMpS5aQ654cwVB11x1QS9srjCboQnGHXW10nH+jGyrcQcTy1x+MAK7F3btGs3wlO/9e2VFGPSD6eFI4Z27ZYU6kvuc/inxOQYxyxXGUwPcrWjfKW15wvhQd7Os3HslnJfLXO+tM30BYTx9vflN7z23r6t39Aevy//+IOLia1O5YdwwdCgYTOzeyZaM67uzyBFSH57btKBrxvXQfF266s087RR2i8UJ407P+J9npNVsZ7c18JxP1i3Q5gnjpr6jhmvGo47WiCveoAd69uYpSba/G17b/LZMtPfIK/OdMXtz7nrndDj2rol+/1151vaBPGrq8Uc3n7m0IRhN3bve/PLv/nXjsz99Yg3MNiWvzjfMXTtt6p5fN8vzBmhLn8LtBN3a3fLSW4e7Z8PR1M0071rszh55ntETn6kfWAsJ2Wr4fccfsVxeDctU+CNEpnoYf9LdLy8v7JBnDeF6eu/PcRPEve3uCUd+D7fH7Gx6mJ43jDOaOmKcddEacsWbKwi65q4b+8EE3poG2fhFOJq6N31sRBKnL0jCOTXa7/H27tKSFX7d5f/in9ZetWqnfBOOpu71Mo/dGJDTP9qjmc+NoO6eau4HafNaOXuFU6Z70bPn5Q7jRn+QObOOecK4dwr8su19c++Laq731pnuj5TeIO3+6fHmff/1Fxn2rwvXnh/c+m3lumZZpg3cFspo6oiVoU1Fh3H5pVsaa1qkZV2OgdtS5OoxnjFB14RZdTR1e8A4Q77QPP5jh9RXNciOk0PyMDWaundNd0+/idIB5Q7j05O35YI7sF1YW7+rP1yPaXn4c590mPenaiFh3DDaG4wof/Dq3JuQHOmTHR9ZPfFQ0WiNuFIcb+uS6ZsmQKfu5W2YHf9dXh63wrNngwmTj8LR1k3InL0ZDO42sfesvHoaTg7vAz5x4KI/eFlwinsQxlP3Fp99Gixj9tFF597mStB9v0GmfrLXzTx/7Ia86HzHep5jSfcZf0uSP5n1y/iRwFYP4+OfHpLp0bHs9dz317l7or+3I/hxIdeAbvOF8UK3CxEjqYvWkCveXEHQNX/d4+E+2dPamL7PeFVdg6xvPymJ9CBiof5AbtpgYsryvdt79e6U9alb0RpXrG6VPd9lhnHvuuxlym27gtt52UE5l7kHOBv+x2ZZuTd3mPd71TNew9mOX02AttY/YzvOj+jPSZs9fchbn9R77N3P/IZe5+tdl2/qct7SLd/Aboi4pNpUdhgPe4aD+4/nIefp2wbvPuM9W6UxvHe4d/uxll0nsu4zPl9oHv+lTzqbG+a5z3j28wsN46kv7LTL9fWU+wPS6YdvU+NtS2efDD027+vyTfL13bCmgDDu3fYtsX9t+rX8e4yv2Scn/k7PeFTQGnGV7dsy7vWme/cJ//gDmWwypnqQF0UTqK9MmF3sUHok+Ogbx21CRFsXrSGHpXnXG3F95edZPfklOfGLHGmulfX7r8hde7kTj2T40uey3rTZtFHoy6b3Y0TGqOqZLso2I2JR2ixxGF843r3F7VHVocwkx+Xhnw/n7qkOkUFrxKFj7W555fXMnwpPEY+4Tz7tL3wgOESMpC5aQw5L1QTnddWyMus2ZMXrX/ee8xTxB3K6Lf8o76Xq38c91yn2/ojwDdL+A73iiJWgTWWH8WS/7KhZSE86wJuD1ojDbJ98elZmXlnXbEfUJ5+ekpkX0d8ORMyvi9aQwzLojYxeXy3ru8sTkIe7m3Pf39wfzK5B9vxTmVcOJ65Kl3Wv9QzvDcqeVWY7F/GHAERcmDYVHcbHz2+Vqg0n0qeCA8AcWiMOdSf8+3xPyczADplY4Kjsr9+35Wk4CNzM+TVz154jYix10RpyWCZvnpSNJpCv3Nknw3kHXSvAMNyv3HlGEr+GPdDeKepXzki7CcMrOwflrvuckrwjw/5gd5Ny/VBz+v7rds3dwaPB9pX9tRGxFG0qLown748Gg5N510HXN0hX3ovFAd5ctEYc5vZJa5e8HD41/+jqFec78vzKDZneS4844pugi9aQwzJ674ocaf9cvs9xrfWCvHNFetqbZUVdOP5PTa2sWLdTegaDEdHL6o2jsj58nWVNe+Wiclu4od6d0pEeOA4RK0WbCgvj0zLQGdyyoqpmlWz5ivPTAXKhNeIQETHaumgNOUREjK42FT+AGwDoaI04RESMti5aQw4REaOrDWEcIKJojThERIy2LlpDDhERo6sNYRwgomiNOEREjLYuWkMOERGjqw1hHCCiaI04RESMti5aQw4REaOrDWEcIKJojThERIy2LlpDDhERo6sNYRwgomiNOEREjLYuWkMOERGjqw1hHCCiaI04RESMti5aQw4REaOrDWEcIKJojThERIy2LlpDDhERo6sNYRwgomiNOEREjLYuWkMOERGjqw1hHCCiaI04RESMti5aQw4REaOrDWEcAAAAAAAAYInJG8YBAAAAAAAAoPwQxgEAAAAAAACWGMI4AAAAAAAAwBJDGAcAAAAAAABYYgjjABFFG50REeOji1aDiPHQRRtpHxHjoQ1hHCCiaAdzRIyPLloNIsZDF60Bj4jx0CZvGOfWZgCVi3YwR8T46KLVIGI8dNEa8IgYD20I4wARRTuYI2J8dNFqEDEeumgNeESMhzaEcYCIoh3METE+umg1iBgPXbQGPCLGQxvCOEBE0Q7miBgfXbQaRIyHLloDHhHjoQ1hHCCiaAdzRIyPLloNIsZDF60Bj4jx0IYwDhBRtIM5IsZHF60GEeOhi9aAR8R4aEMYB4go2sEcEeOji1aDiPHQRWvAI2I8tCGMA0QU7WCOiPHRRatBxHjoojXgETEe2hDGASKKdjBHxPjootUgYjx00RrwiBgPbQjjABFFO5gjYnx00WoQMR66aA14RIyHNoRxgIiiHcwRMT66aDWIGA9dtAY8IsZDG8I4QETRDuaIGB9dtBpEjIcuWgMeEeOhDWEcIKJoB3NEjI8uWg0ixkMXrQGPiPHQhjAOEFG0gzkixkcXrQYR46GL1oBHxHhoQxgHiCjawRwR46OLVoOI8dBFa8DHzcnufnl14RN1HmKctSGMA0QU7WBemhekvapJjtzS5iHiUuui1RTvL3KkqVqq6nbLxQltfuhYn2yrMXVNR2VIm4+IZdFFa8AXa/LKlMgfp2RSmTd+ati82pS8PJA979FfGmT6kcjM+Q+UeaX7dGBM5FaXOg8xztosXRh/cEZaa+qk48dkOMFhvvmvg+n7cmH/JmmqNw2RqsD6NZuk69yQjM+ENQ73ftgnrR/Xpeur6tdKa+cJSTyYDisAyoN2MC/NAsL4yJey3nyu27+b1OcjYtl00WqK96p0fRgcp7Z980iZHzj2zXYT2Gtl2erDhHHERdRFa8AX7YGEzMqwTNW6896RqX8Hrzd7Remhrj0kr2RMprcEj5/fNIXjZ+WZW1ekhHF8U7VZ0p7xoUOrpKrxkAxlBdmkDOwyAbb1jDwMp7x2RnqlpaZaGv/WJ0P3Uz8QTEvy10HpbmuQqo86ZOBxODlktLfFhO926fs1aSo9gvpju0wgP1kxWwYxQTuYlyY944iVpItWU7zB/r5tW6NUbeuTMbXmkZzeXC3rd++W1VU75Vu1BhHLoYvWgC/a97pMqBZ51fOWMt2E7YEbIk/7s0L2kx4z/flFSTrTyyVhHN9UbZb2NPXkgHQsr5bWr5xgOtorTVWr5ODP4ePXzbhZz/pqaekZDSe4jMvALhPIM35YSEjX8jrp/Ff4EGCR0Q7mpUkYR6wkXbSa4g339++OmqDdKsdHlRr/TBgz75JXQxhHXExdtAZ88QY94LPXd2RO93rMvRDu9ICnTF6fyn5OKb7/rjw7cEimju+QZx+/I88I4/iGarPk14w//GqTVC3vkIH02ejj0retWmp3DUilnKCe+N86v6dgPHysMmPCtxfY0z3eJsBXrZXukfAhwCKjHcxLs5AwPih76putmvDxtRH5Zm+rrKwLTntdtmqzHL9pPe+7nWa60pi/NdfIv3t+uyyr3ynfj2XOX1/TKF1XrGmIb4guWk3xevu7F8LvSE9ztazvvZNV81tvs1RtPiNj1n7qTR+72ScHNzfLinB/r6ppkNWbj8rle5nPfzzcJ3taG2WZd825f9lWk2zce0F+s2oQMdBFa8CXon9t+Hhm77cftv3T001YHzVN2wvL0vMe/eUTeWlWy+5Nf3r+d5m1wnPq8cS+U/JqbCpY8VdTMvPTbpkIawLflmcXhmXWzJ59PiGzT41eV72HE8bH2w7Jyz/M/HC2vBiTl8cbZDyc/+zyRPb17/6PCealT70zN804adYv1bP/pLVLXqbW0TA7/ru8PNWQUY+4VNos/QBuM0NysLFaGg8NBY8T+6S+ZpN8/SB46DMzLtdOdkhL6lrtmjpp3NYr15zTwgd2mXkmxLuM9qzNmH7vq01S+7cBGb/eK1vMa/vLXNcrt8P5mQxKh2k4dPwYPsyD/zpmOUH/+agcW1ct9eZ1c11PDlBOtIN5aRYSxt0a77HZn1ZuloP9v8iYNxDUxAO5vLfJNLz3zg0MVUAYn3z6QL7dXisrdg6Ep8zekeMbq2Xl/quZz0F8Q3TRaorX23eDfe+3f7RKVfOXTkgOBnjzryd3wvj3h3bKkf6bcjf84ezxH1floDn+Lds9OPf8m94PaQ2y7fRNGXsSTBu7c1O+6SWMI2q6aA34kmw6JTPyu7xoSk3zwvaUvOwMHvvB1Q65fn3mdebuaeX+Yy983+qR5Pq3/WnjbSaYv/AGfZsL9v6yvZ73XUGN73t/lec3TTi2lvfk07MyY5b36uwamXjfm/a2TLT3yCvz9vih36vrvJh1/XswCJ0hI6QHPzD4Pfvv7ZCXL8xyj38QhPr33pHJzh6ZOpAZ3hGXSpulD+OG5I8dUusH8CDANmWcDh6eAr6hWxKpa7WT9yVxpMWE8hY5ZvU8FxrGg9DcIi1r9smAP5DatDx8kKPf2z9lfq0cy3WGuo3ZjqqqDkm/UnideVXNWuno6beuNQcoP9rBvDSLDeNNctDuBfccOyNtdl1BYdx474Jsq2uQPZfCgNB0WIbyjfSMGGNdtJqitfc9f39tlIPXrPnXDsvKGjPf2//c/VRx6Isma8T1m3JwZbWs/uKXrDpE1HXRGvClGYyMnu493mKC74vE3PXgGzLDuh9wnR5oNYwPd8kTq8bTH709VffebhOEvdd9N6PGM3N5G2T6aWaIT+uv24QJ895jL1jbveBB6H514ZR/qv2LDeFz/Ovhw1HivW1VB7BDfD3avJYwLvJQvm6tltp6E7rr90nC6klOfteeNS1F4u+mfnt/+nT2BYVxt/c9F34YtwJ2PrTa6fsy2GP16jdulWNX857wDlAU2sG8NIsP49nPcaYXGsaNd03tCvPdsKJGCfmIb5AuWk3RZux7j+SbbdWy8sDN9PzrBxrnerr92mY5Mhw+1/PJiFzsPSxt6xrnTldPhfGbh019juvQEVHVRWvAl2oqJHvh2QvCmdeD22H9LXl+ywTjgczTuNUwbj1Wpys92Wrdp/0569K93JfW+I+90+tT2xGcou49L7guPn2qvf+6N+T5e+b/763xt02e/y4vz34ikzXOQHaIS6zNawrjhp8PSaM5eG85nxlUBz6rlvrUKewu5jn1Ve0yEAb1BYXxzwqK12HALrBn/LLTM+4w/SAhJ3aZ165qkI4fCeRQXrSDeWlWRhifnLgie7wfs1pPyl17OuIbpotWU7Tuvufto3V75aL/eFD21NWa45Zda+3P/ino1bKiea/09F+V4TuPMnvGc+3viJhTF60BX7LegG1+b/gH8uKPKXl5ODOU+tdj//uQjPu9z3OnsKcsKox7I7J7odipWUidp/fjQKrWH+U97NX3e/D9dQ7/Pxb05qeWne61f++vkrxwQ2ZeeO+uCfajZyXZkPkaiEulzesL4+GAZ5mhVztt3cIJygsK40qdTnDN+I7v5j/F3F9uc6/cCx/nwr+lW/racoDyoB3MS7MywvjQF96gUZ/LnqZq2fiP7EGlEN8UXbSaonX3vQlz7EsF8B93y7J0ME/VpvbnYMA3dyyHjDBOzzjignXRGvAlmz512+tNDnuN7fmp3mTv2m37FPbQosJ4znucO3UF9Iyne+pT29EZnqKeOmU9PSq892ODfSp7puPrd8j03ansgeAQl0ibCgvjhfSMz/VEL04YD0+Hn++e5+FAdHOjqefBvbYcoAxoB/PSXMQwfmmvLKvaHlx/atf5jXYrEHiPa0wjfsT5v/0cxDdEF62maH/I/oHsYmetLNs9IN/vrs04ZT1zDAhv366W9u/mnueZec14cHbL6kNcM45YqC5aA750w9O9n6Z6wN354UBno06vcmhRYTx1j/N5rxn/xL8WfP5rxj3DcH7lolm2HeCD0+tnryfMdHuwOkU//OfuiUdcTG0qLow/PLep4GvGE3+vU08/Hz1aWhgv+D7jzb0yaq+nss4eD0+2zB/uARaIdjAvzUUM42PmcV21rD90NRxx/ZEM9R+WtpXVc4Fg4qp0mcd2b3hif6NUbTzJ6Mv4Ruqi1RStdrbKlc9lhT8IqTOYW8b+fEdOt5qadYcl4Y+mPim/XTosG73rxj/cK5fDH9z8sR+qGmRb71X5LTWa+q9X5fQXfWFgR0RbF60BXw6Dkc1z9xr712PnmF9UGPcef28ey5i83PfXMOC/JeOfBqOk23UTPTdkNsdo6jMDazJ+HEiPoG6eb0/3T2H3sHu9a3fL9OUuedYQjOb+pGaNTP3bbKf6gwTi4mtTcWFcZkbl2AZzUNdGU6/vkAHr0utgVPYW6b6VqhuVwSNbpdFrTJQSxj3CkdHrN/dK4m5SvDHYvVHYk78OSvdmE8Q/ylwX+fOMtNaslc6TCbk9GVTLdFJun2uX+poG6bw8/2nvAAtBO5iXptfgNvtODoOeMDd8u49zT7/7z6Nh+DbWNUrbgQEZvnZU1nu3QDPz/eC9LtWzFhoG9PXd9LDhm6eLVlO0Xhiv2SnfZ0wPRkGf6+FOGezP6QEV712RI5vN/urty+b4tr7jggzfG5Suplqpar+Qft7da2ekY10D9xlHLEAXrQFfFucZWfzJYe+0cr1Xudgw/ugv78rznyaCDXsxFdxjfPyiTHvTnOf79xl37wdu3Wc8rX/rtezr3lOjt2cMPuedlj48JrPh9eL+7dhuHpKnfuBHXHptKi+Me3j3Ge8xoXp5eAA3B/uWXSey7jPu9VD7deGBvvbjrdJ96b7c7mmR+v2JsKbIMO4xfV8umHCfHhndf41NJnBfV+4lPi33LvVKZ9taE75T610njW375MLdMJwDlBHtYI6I8dFFq0HEeOiiNeCj7pOav8pk0wcy+fE7WafAI75J2rzGMA4ApaAdzBExPrpoNYgYD120BjwixkMbwjhARNEO5ogYH120GkSMhy5aAx4R46ENYRwgomgHc0SMjy5aDSLGQxetAY+I8dCGMA4QUbSDOSLGRxetBhHjoYvWgEfEeGhDGAeIKNrBHBHjo4tWg4jx0EVrwCNiPLQhjANEFO1gjojx0UWrQcR46KI14BExHtoQxgEiinYwR8T46KLVIGI8dNEa8IgYD20I4wARRTuYI2J8dNFqEDEeumgNeESMhzaEcYCIoh3METE+umg1iBgPXbQGPCLGQxvCOEBE0Q7miBgfXbQaRIyHLloDHhHjoQ1hHCCiaAdzRIyPLloNIsZDF60Bj4jx0IYwDhBRtIM5IsZHF60GEeOhi9aAR8R4aEMYB4go2sEcEeOji1aDiPHQRWvAI2I8tCGMA0QU7WCOiPHRRatBxHjoojXgETEe2hDGASKKdjBHxPjootUgYjx00RrwiBgPbQjjAAAAAAAAAEsMYRwAAAAAAABgickbxgEAAAAAAACg/BDGAQAAAAAAAJYYwjgAAAAAAADAEkMYBwAAAAAAAFhiCOMAEUW7VQJi3HTRbgmEGCddtBrEOOmi1SDGSZu8YZzR1AEqFy24IMZNF+2ghhgnXbQaxDjpotUgxkkbwjhARNGCC2LcdNEOaohx0kWrQYyTLloNYpy0IYwDRBQtuCDGTRftoIYYJ120GsQ46aLVIMZJG8I4QETRggti3HTRDmqIcdJFq0GMky5aDWKctCGMA0QULbggxk0X7aCGGCddtBrEOOmi1SDGSRvCOEBE0YILYtx00Q5qiHHSRatBjJMuWg1inLQhjANEFC24IMZNF+2ghhgnXbQaxDjpotUgxkkbwjhARNGCC2LcdNEOaohx0kWrQYyTLloNYpy0IYwDRBQtuCDGTRftoIYYJ120GsQ46aLVIMZJG8I4QETRggti3HTRDmqIcdJFq0GMky5aDWKctCGMA0QULbggxk0X7aCGGCddtBrEOOmi1SDGSRvCOEBE0YILYtx00Q5qiHHSRatBjJMuWg1inLQhjANEFC24IMZNF+2ghhgnXbQaxDjpotUgxkkbwjhARNGCC2LcdNEOaohx0kWrQYyTLloNYpy0IYwDRBQtuMTPD+T55RvyYq82D98EXbSDGmKcdNFqltabcrzjc/lmWJtXof56Rb65ckefhxWni1aDGCdt4h3G/xyUg22HJBE+BIgTWnApj2/L056z8mpsSmbD15JX5v9jwzJ9doNMvKc9Z7FskOlH5uV7tHn4JuiiHdSK94K0V1VLlW1dg6xv/1Iu39HqERdfF62meL3PfJMcuaXNy2Uhz1H2JdWd8q36/PI69EWTVLVfUOdh5emi1ZTkvSvS094sK2rCz2FNraxYt1kOnvtFxiaUesRF1maJw/iAdLhfzMsbpGXXCbn2OCwpJ6O90lTVYV4VIH5owaVk31smU8NTIs9N8D7QIBPvB9Of1PxVnvX0y6vxhDwnjOMS6qId1Io3O2SM/XpVTu9sNI21ZjlyM5w+8qWsN8er9u8m03WIi6WLVlO8BQTrrM97MQH+uXzbbtp4rykQE8ajpYtWU7RjA9JeXy3r9w/K8Fhq2ogkTu+V9av3ykXCOL4GbV5DGF8rx0bDh4bk/SHp+9sq0/BpkWMj4cRyQRiHGKMFl9J8S5LXTRB/dFaeLWngzidh/E3XRTuoFW+ukPFAvt1eK1WtZ+S3jOmIi6+LVlO8xQRrwjguri5aTbH+9o9WqWr+ku9yrChtXnsYDxiXgc/qpKqtTx6GU8oCYRxijBZcSnLDKZmRCZnepcxbQscb1kjy+CGZOrBGJmrWEMbfcF20g1rx5gkZ57dLVc1O+d6d7jnxQBL9V/3G3eM/bsrFc33y/ZURTnfEsuii1RRviWF87IFcv9Qn31y6KXdTvYw5JIxjobpoNcXqfxa281nAytKmQsK44Yd20/DpkMHwYVkgjEOM0YJLKT79fszvFX+qzNN9W54evygz41PhGonMjiVkqu3tjLrnP03JzMCGzNoXE/Lq/Bp5YtU9en+DvBj15k/J7NMJ49xyU2F8fP0OeXHzd5l9Ec7was1rPm99a245GCtdtINa8eYOJmNfb5aqur1y0X88KHvqm+fqbh2V1VXNsm17gzluNcjKlY3BtYjeqe3XOJUdS9NFqyneQsK483kPn7Otc7P5nNfKCu/zXud93htk29cj1vMyzRnGJx7I5d6dsr7ezPcuVzTLXLn5qDNOQ7gON0fk244mWebvX7Vzp84ry1ixbqccv/LIn58K43cHv5T2dWY/DWtW7x2Uu+nXwErRRasp2u92mr99sxws5Lv5jnNteV2jtH1xRe7aP7R6y9PGPvCPC3PTh//RKst2ms/gP49K28pweU1H5Xo4//Fwn+xpbQw+2968+ibZuPeC1YMffMZXe/uavy5N0nE+9/6G0dKmYsJ48vxWqVq+zx9sbfpBQk50bpKm9JdsndQ375GB+0FtmplxuXayQ1oy6jrk65+TwXwljI//0CH1NS1y8Pq4eX5SRvu7ZUtzg9Smd4a1sqXnupi5c8zcl4HOFvO8sGb5Kmn9bI90dnp2y+CfYd34dTmxa216WbXrlHUGKBNacCnF57fMQm91qfOyfUueDZjw/vyGTLW/K+PetPfflWdnb8isCcivet5N1/rLfWXC9+UueVbjhea3ZGKfCeam7uWBVIheJi/+8DaqX56F16l7Pvm4S16a76xUGH96NiEvz34iTxuCwP+kZplM3TKhfeyUTIbPwXjpoh3UijdXMHkgpzeb7/FtfTKm1fmNLhNETo/I49RzTDj4vrPRNJi2y7f3wmmIReii1RRvIWHcrfEee9fc2qFkUoZPb5cVVY3SdSU1LVM9jD8w0004bj4sF38NgrN3/e7FA81+YEqP0+C/ZoOsX2cCSu/V4KyTsTthb7yyjCePZPjSl3I6XBc/jJu22OqdfXL9jyCEPR4+KW0m2Gz8B6OsV5ouWk3xms/LzuAHmRXNe6Xn0k0Ze6LU3TOfOe/a8gNz15aP/TooB5vN53jdURlKffYLDOP+Z7Cp2b8u/dsR7zM4Kb+NPAhqbx6V9d6PWafn1mXszk35pjcVxsPP+LrP5aL/XDP/p8PmOdXS9nW4DIy0NhVzmnrfNvNh394vXowePbdHus4Nyb3J6WB28r5c2GU+lBtOWKexj8uAP61bEvfD8D2dlHuJE9L3c/DQDeMZQdxjZlC6d/XK4K/jkpzxJkxL8uduaTGhvvNffoXhoXzdWi312/tkNHyZ5Eif7DA7bFNnn1zoHwymj5ttM9NaDiXkobfaJugPHW0xB4Ot0peR7AHKgxZcStELzTMDDeq8LHf1m9D9u7zYkD1v8vzvIk9NqA4fe8udvbTGqXtHpsz3QOr1nhxOmOUNy1SDXeNZwDXjPTfMu3FDnmvzMPK6aAe14s0OJukB3OpNoyodqp06p9GVduKqdK00AeCLXzKnIy5AF62meLM/89m6Nbme80i+8dpuOU4H18L42Dfbzb6lD5p1sdO06TJ+ADPhqXMwq85fRp3Z//KcJp/r1OTEfvMaOdYXX58uWk2p3v3pzFxPtHeWREefDKdDefBZ1j5vkxPeWRrVsu2b8IefhYTxmlY5PuLUPb0pB+c7TlzaKyuUH3b9ZW48yfXvMdCmcgZwqzehOV9o/bHDfPjngnXyu3apWm4ehwFZxQrj9863+0G8+5cw4OdkVI6tM0G7J1zJu73SUmUCtfM6fk9+65n0jwOJvzdI7WcDmT3q4bJavyrrlfAAPlpwKcWF9Iw/uzRhPt6Hgh5x19pD8sq79vzT4HGukG9PT16ZyrE8JYy/91d5dvysvPxjwjpdnTAeV120g1rxBg1+/4yn0GUfeqcK2o20VF0BYdzoN/a5PhFL0EWrKd5cwdrWrcn9HP9yjtWHZciZ7qmF8W+3m8Cz/2rGtLRXPpcVVSaA+EE9eM2D6Z7yOb1lLNNCk6UfWpTQnWs6vl5dtJqyOfFIhs7tlfUfms9nqsd74oJsq2rIeZZHxvf6QsK4diy4edjUmZA+6ky3vNhZq3/GvdduMuvsTsfIafMawnhmw6f2o7XSur9f7rkZeWZchvp7pbNtrTSmTkO3wvjAZ+a5f5/nDuJ+GG+X7q825Q3i03cTcuLIVmlpnDtdvaAw3twr9/xHCelaXiddyuoM7LKWBVBGtOBSik+9084LvGY8f3DvMmF8LkAXEsZzL88J4w1m2d532PgNmf56hzxrelfG6RmPtS7aQa14Cwkmnk5dnjDuN8BoLGEJumg1xVvIZ96tyfMcLxzkGOgwO4z/Ikea8vQI+vtV6nVyveY8ywgljEdLF62m7N47I22mzd/+nfl/xmcv24zv9YWEce2zluv5aUfkyLpU7lGkZzwW2lTOAG423infH5kP3JoOOXYuIbf/TMp0Rs+403udCz+MBx/exkND4cRMRnu9U8kbpGX/CRn8+b6MJ91l5z5NPd3j7Qd2a0dxpGccFgMtuJSkf+r5hLzsnH8wtPl7xsdkekvwuJAw7t9Sbd6e8bfk+c2gbsKuIYzHWhftoFa8hQQTT6cuTxj3ejRo7GMpumg1xVvIZ96tyf0c/7ZR647KsDPds7ie8dR+lfs16RmPny5aTfm1ftgppGc89bkpNYzP2zN+R45v5HKnuGtTkWE88b91/nVDGad8O6epL7hn3OxkrV85L/zghAnRq+Rg6hpzHyXoP+iTLfUNUr88DNj1LdLZf1/S/ex/npHWQn5kACgjWnApzXdMQDZh1xlETXXvxQVdMz5fGH/iB+r5rhkP/p+1LMJ4rHXRDmrFW0gw8XTqcoXxMVNXZ11biFiELlpN8RbymXdrcj0nCDMrD9x0pgdqYfy30ya8F3zNuL6e/jLmGSiRMB4tXbSaolU+a8H0Qemoq5U9l7zHd+R0a4HXjF/aK8vSl1NY+iG7gDD+9Iq/vNWHcoft6wcaparp8NygcRg7bSowjOfo9XbC+MNzm6RqeXv+68zda8ZNIO/4wXqCs8wA5/WTZmetn28QttvS3Wiec5Q0DkuHFlxK9r01Mj1mFv58WKYPNMhEGMrHGxokefaizDxNhKH33SC4a6OpvxqT6U/netcLCeOpoC2PLkry4/C5770Tjs4+d5p68ifzmi/Ma673RlN/S8Y/7ZFXT71343clyGMcdNEOasVbSDDxdOrCUxr3DFqj2o5dlZ5WEybsUXcRi9BFqyneQj7zbo33uFbaTlh3D3hyR7717h5Qv1O+zzGQmhbGJydMgPdGp9ZGU883aKKttwzTTqtat1e+vxku48kjud5/WI77wYowHjVdtJpi9X7kWdF2WL65MhKMym+mpUdJb/5y7pIif4RzfTT1FeYzk74lXvij6/pD4Sj/3jXo5rMX3L6skDD+XO5+t1NWmEyyrfeq/JYaTd0bPPSLvmB9xkxe+tC8buvR9Gjq3usMXzkj3+bovcdoaVORPePXvNNB6jvkwoOg79k/LdyE3Srv2u1UKJ4xodnfkfbJ4Eh4/vh0Um5f6pavUx3mVhj38EdT9wL5j+FC/uyTVrPjtRwdCkZTn34oiSOb/OvG6/dfD2r8ZayV7lvOReMOyct7pL6mQVp7wtHU/Yn3ZejcgAz5I7UDlBctuJTH7PuHyyvvft4moB9vsE4l9+oSMmPf8/uPi9n3GS8ojBsbdsvLcNecfR689uxPZ/1p6WvG31smz2+O+QHdf73Rs5JsaJCp0QnzhizkHukYFV20g1rxFhJMPJ06P4yb4483xoh3n/EPa/2zpla0fSnXtVvmIC5AF62meL3Pstee0vWvn83aL8xj7z7e/r3FvfuMmzaaqV3WZMJwxr3BM1XDuKd3j/AvNsvK1P2TzT60vv1L5z7j8+ybEyPy/YHNsjo1plCO+4y7zyOMV6YuWk3R3jEh13xW1off0771zdLe69w/3K+9Ikc22/f+1usy7h3u3Yv8wIAMXzNh3jvrI6yZ77N299oZ6VjXkPs+409G5Ju9rdZ+kvkZx2hrU5nXjPv39Q7v111TJ43beuXa+Kj0bVslVet6Jf10Uzd4ZKtzP/JC7jM+F8jHr/fKFj/oG73Tz3+4L+OJQ9K0vNrU+BVy7VCL1HrzbZc3SMuuE2a9/MX4TN/tl662VXP3LPdrzshQ/hwPUBRacIm+b8n4xx/IZNMHMuHfk1yrwTdJF+2gtuSmT1OflLHRO/KbMbj/MWLpumg1S+ukPE7fCzn4vP8W3rsbsRy6aDWIcdJmicN49Bj/0YT3j9ql727mSOzTk7elb3tDxu3NAJYSLbggxk0X7aC25Oa6ZhyxDLpoNYhx0kWrQYyTNoTxvHjXgtdJ57/Chy7X90l91jXnAEuDFlwQ46aLdlBbcgnjuIi6aDWIcdJFq0GMkzaE8bwMSkdN6nT1bB6ebJGqtj56xuG1oAUXxLjpoh3UllzCOC6iLloNYpx00WoQ46QNYXweRntM4K7fJN2XbksyPFPdO0V98MgmqTfTvx4JpgEsNVpwQYybLtpBbckdHZCDHSflujYPsURdtBrEOOmi1SDGSRvC+LxMy73+fdK6Jhg91Ld+rbTu75d7mZeRAywpWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYBwAAAAAAAFhi8oZxAAAAAAAAACg/hHEAAAAAAACAJYYwDgAAAAAAALDEEMYBAAAAAAAAlhjCOEBE0UaeRkTEaOuijcSLiIjR1SZvGGc0dYDKRWvEISJitHXRGnKIiBhdbQjjABFFa8QhImK0ddEacoiIGF1tCOMAEUVrxCEiYrR10RpyiIgYXW0I4wARRWvEISJitHXRGnKIiBhdbQjjABFFa8QhImK0ddEacoiIGF1tCOMAEUVrxCEiYrR10RpyiIgYXW0I4wARRWvEISJitHXRGnKIiBhdbQjjABFFa8QhImK0ddEacoiIGF1tCOMAEUVrxCEiYrR10RpyiIgYXW0I4wARRWvEISJitHXRGnKIiBhdbQjjABFFa8QhImK0ddEacoiIGF1tCOMAEUVrxCEiYrR10RpyiIgYXW0I4wARRWvEISJitHXRGnKIiBhdbQjjABFFa8QhImK0ddEacnHz8dgjdToiYhy1IYwDRBStEVfpPmndIVOdH6jzEBHxTQzjV6XrwyY5ckubh4gYP20I4wARRWvElWaXvAqXnebFlMwMn5Lkx28p9Qv36cCYyK0udR4iIi5VGJ+U4f6j0r6uQZbVVEtVlbGmQVau2ywHT1+VuxPacxbJ0ZOy8cPPJaHNc/y23axn+wV1HiJiVLQhjANEFK0RV5peGB+T6S2px2/J+IZPZOrWhHk1M/3T0gM5YRwRMb8uWkOuJCdG5PT2Bqn6cLMcuTQiY0/C6WMP5Hr/YWlbvVcuLmEYH/t6syzrHFTnuRLGETEO2ixxGB+Qjqq1cmw0fAgARaM14krTDeMp35Xnw1Mid3tkMmN6bv3QPdwlT7TphHFExJy6aA25UrzYaYL4uqMytJS933n0Ava28/o8V8I4IsZBG8I4QETRGnGlmSuM/6c8+fKGecUb8tyZrvr+u5K8MqGGbsI4ImJ+XbSGXNGOfCnrqxrl4DVl3mtxUPbUtcrxUW1etoRxRIyDNoRxgIiiNeJKM3cYHz81LPIiIcnOizIrwzJVm12TvD4l8u8f5OWjcAVtwgCeCuMT+07JqzFT7zMlMz/tlglneU8+3iEvhsdkNnUh+4sJeTWwQybes+raTsnMixvy3KmdHbsozxusOkTEiOiiNeSKdbi7WaqajsqQMu+1eOVzWbGA9ckI40/uyMXe3bJxdUNwzbtx2YfN0nF+xJ8/9s12qarbKxet5wfekeMbq2XlgZsydrNPDm5ulhV1wfO96+ZXbz4ql++5z0FELJ82hHGAiKI14koz92nqU94+++9DMv6XDTL9VGTmwrLMmvd2y8sXU/LycHBdea4ecH+6YfbWIXnW8LY/bdwE6lcvzDLPW8tsMOviTbu8QyZrvGV616/vkGnv6Y/OyrNUIN9yVma85T264Y/SPu5Ne79BXoyaoP/HqYJPq0dErBRdtIZcsZbSs+w9d/UXv6jz5rwg7VWFj4w+9EWTrNh/VZ2nmbH+t85Ix94zkhh+JI+9xxOPZPjcTllR1Sw9I95jsy41tdLx49zzff2zA4Ka7w/tlCP9N+XuWDDv8R9X5eA6E+p3F3YNOyJiMdpUXhiffiiJk3ukdc3cL521H7VI5w/3wwKPhHTVt8ixX+7Lhf2bpHF5WPfxVvl6JCxJcX9AOputZX28SXZ07pFOzyOD8tCUDOwy83YNBPUWoz1r56bPJGW0v1u2mGXVpkYerV8rW3quy3hQETBzXwY6W6Q+VbN8lbR+Fr5eZ7cM/hnWmWddO9khTeG6Vy1f62wjQH60RlxpumHcGsDN630Oe5onL5hEbALxU+u5Tw4nZPZFQp6HITlvGFeuJU9eMeE5Xf+OTP3bBOzrO7LqHr23w4R+kVen3gke+2HcrJvdW+7p9+AXeFo9ImIF6aI15Iq1sECtW/4w/khOb66VPZe0ebrz/5jgvX61tH8XPL64u1aqtvXJmFVz/UBj1jRb7weCijp7ABFjp03lhfHRPunc3ydDd5My7T02Ifhef4fUV7XIiQd+hcFbjvlCbtwq3ZdGJel1jc2YcLvfhOf6fZLwHns8OCOtNQ2y41yqxgTqc+1mWSb4nuuXC5fNdDO5sDA+KN27emXw1/FgWWbtkj93S0tNnXT+y68wPJSvW6ulfnufjHoLNiRH+mRHfbU0dfbJhf7BcPq4ec0GqWo+JIkH/lZK8pa3rGrZcj4j2gPkRGvElaYXxjOZfT4hMz8dkqfvW3W1h0zdhEzvSk0Lw/PlDema57eCMJ1+TmjekJ6a/p63HlPysjOzJqUf3FOBPhXGnZqc0xERK1wXrSFXrPOH2dyWPYz7Pdc75dsFDCSnrf/dn/rkSEerrF451/GSCuOT1w7LylRPuV9/Uw6urJZt3zxKP3/yyYhc7D0sbesa505XJ4wj4iJqE5HT1IPw3fFj+DBcTrfbC57sky3W8u/1tvi/foa5OCQpfduqpfUrr088oKAwrjIqx9aZoN0TvuDdXmmp2ip9mS8oyfNbpar1jN8L75PYJ/XL22XAyd3+69l1AHnQGnGlmes0ddcwfF/5JHjsh/MxebFhrsYL4zMDDenHKQsK436Qzr0efm2qZ54wjogx00VryBXrgnp9bx2V1WG4VQ2X4y9Tmx+aM8Bf2ivLNp/J2UOtmRnGH8i3O00Ar2mS9i/OyMUbd2TsSWbPuHd9eE9ztazvvRM8/nG3LKvbPXfrtptHZX1Ntaxo3is9/Vdl+M4jesYRcdG1qdgwPn6rX451bpKmxrlfOt0wnr2czOn5wnhL79wp4QsJ49N3E3LiyFZpMetVG56KXlAYb+6Ve+HjxN/rpPbvifCRxY8dUrWu10R8gPnRGnGlWWgYzzwt3R/czbk+u6QwXkjPeEZwJ4wjYnx00RpyRev3FDdK1xVl3jyWu2c8sb9hwafM+2F850Dw2AvWNZvldMZga24YDwdyW3lYrpv/e6etewO3BfOCoL7SuWadMI6Ii61NBYbxcRn4m/dL51rp6OmTxK8PJTntPW/hYTznaeo1m+Tr9CnvhYfxUS/cm+W17D8hgz/fl/Gk0zOe5zT1uZ74+3LMfPmnfmDIkp5xKBCtEVeahYfxR3/5RF6a75JXPcvkhcnR6Wu4Q0sK43/5QKbuLvCacbeOMI6IEdVFa8gV7yP53utNXmfC6RNtfm7LG8Z/kSNNDQv8UcB7TrVs/EfQy62H5uwwPjkxKB11tdJx/oxsq7FPWVdqjYRxRFxsbSovjP9rj9TWbJW+jFO4iwzjhofnt0p9/Vwvdn3zHrlwN7hOO0VBYfzBCWmpWiUHfw4eBrhh3PCgT7aY16tPDcxW3yKd/feD6999gsCe8RyAItAacaW5kDD+n/Ls8oRZiTGZsQZuy5zXL8+8a83ff1eetX3gTy8sjP+nPPnUhOlXJtAro6nPmrr0bdAI44gYM120hlxJTphQ63UKfLhZjlwakbEwlD/+Y0QSp/fK+pW75Xv3OcayhvHRk7JRve1YykfybdduOX3FrJ93Srl3G7P9zaZNtVO+D0c+n/znXllR1SDt5+4Eo6mP/SKntzdKlWnvtZ1+kLG8i521/vSqjNPi78hp0x7zfphI+MuclN8uHTbr5b03e+XyAq5lR0RciDYVF8b9AJx1qnZxYTx5uUPqN/dljnau4J02XvWZEsaPWmHcO4W8qsO8go0TxpOD0lHv/pCQze0jq8w2dstoaqA5gCLQGnGlubAw/mjDKRN49YHaHjXslpeP5u4jPnszCNCFhnHPJx+b8D06IbPhUrwu+FcXnPuME8YRMWa6aA250p2U4XN7M+7R7Z35t3LdZjl4biQIt4vp+e3zDCT3SBL/2CnrPzQhOly/Fet2y7e/ZtYNn98tq8NB15at2ixH/vlAhk5vlpU1zg8C/un5zsBtnveuyJHNJsCH27++44IM3xuUribzukUOdIeIOJ82ldczfn2f1Fc1SEf/w6A3OTkqfZ+Z8FpTLVvOpVJuYWE8CPbdMuRcw+2SNEG7tqZFum+lzi0flcEjW6XR+xU1Fcb/7JNW87jl6FBwyrt3C7Yjm/we9/r914Oa0V5pMq+fXk4uTGjv/Mg8r603PZq6P2r8z30ykNHzDpAbrRG3pPr3FrdHVUdExFJ10RpyUdfrqW772gnGiIhviDavIYwHv2Bqpnq+7/2wJ33/be/e4ceuj8voOS8cp4J2YWFcxq/Lwea6rNfx7lvecdK+P/i4XOsJw3f4mt2X7svtnhYTtOcGWhu/3itbGsPleKef/3BfxhOH/HUN1t0s51CL1Fqv5bu8QVp2nZBrdo/5dOY90qtq6qS+uUO+/nmeIA8QojXillJ/4DbnfuOIiFiaLlpDLtpela4Pm+XIsDYPETH+2ixxGF9KgoHgvMHU7mVcIj4tyV/dQdXKw/iPHVL/Ubv0OdekT0/elr7tDQzOBmVFa8Qtne/K1KjIzIVlyjxERCxWF60hF2m9W6Z9+LkktHmIiG+ANvEN4790S+PyPZLIcV32tf0mHCuDthXPbelurJPOf4UPXfzT791rzgGKR2vELa7vyOSnH8j4X96SiS9v+Lc2SzoDtyEiYmm6aA25KPvbP1plWeegOg8R8U3QJr5h/HKHVNWY8KuG8YdyYkO1tJ4rZz/1oHTU2IPMZfLwZItUtfXRMw5lQ2vELar/0+XfVszn6bC8+NQb5VypQ0TEonXRGnKRl5HKEfEN1ia+YXxm1L+fd31btwz+mgxvLeadoj4o3W0NZvqZso9mPtpjAnf9Jum+dFuS4Znq3inqg0c2Sb2Z/vVIMA2gHGiNOEREjLYuWkMOERGjq02Mrxk3hIOkNdXPDaZWv2aTdGXc97ucTMu9/n3Susa6VUj9Wmnd3+9ctw5QOlojDhERo62L1pBDRMToahPvMA4QY7RGHCIiRlsXrSGHiIjR1YYwDhBRtEYcIiJGWxetIYeIiNHVhjAOEFG0RhwiIkZbF60hh4iI0dWGMA4QUbRGHCIiRlsXrSGHiIjR1YYwDhBRtEYcIiJGWxetIYeIiNHVhjAOEFG0RhwiIkZbF60hh4iI0dWGMA4QUbRGHCIiRlsXrSGHiIjR1YYwDhBRtEYcIiJGWxetIYeIiNHVhjAOEFG0RhwiIkZbF60hh4iI0dWGMA4QUbRGHCIiRlsXrSGHiIjR1YYwDgAAAAAAALDE5A3jAAAAAAAAAFB+COMAAAAAAAAASwxhHAAAAAAAAGCJIYwDAAAAAAAALDGEcYCIoo3Cixg3XbRRSRHjpItWgxgnXbQaxDhpkzeMM5o6QOWiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hPGYcfvMHjnYfz98VAbGr8uxbaukqqpaqmoapPPH6XAGvG604FIe35anPWfl1diUzIavJa/M/8eGZfrsBpl4L6h7djYh090fOM+dc7K7X16a+tTjpwNj4cLmmH0+ITM3T0ly/dsZz81ywymZ8Z7w70Myrs3P6dsy0b5DXvz0u8z+cVaeqjX/KU9qlknyeLDNL3v0mpy+3yDPBxIyMz4lr3re0muwaF20g1rpTspw/1FpX9cgy2rMd134fbdy3WY5ePqq3J0I6q6f2G2+X+84z53zt/7D0nHiZvrx0BdNwbIsl33YJBs7vpSLI5MZz81y5EtZ7z1nW5+MafNzOiljNwalZ2+rrNx4VIbUGuPEIxm+0idH2ptlRccFvcb3FznSlLkNmTbJkVva87BYXbSa4r0g7e7f0HzWV7fulW9/1eqfy+PhPtnT2iQrrH3Dqz/90wO1PuXdn844z6uVFatbpeOLARl+oj+nZC/tlWX2tqXdKd9q9cZgPRvT+/6yVa1y8If824bl1UWrKYeFfCa1722vZs+5EXlsLcv9vs/y2knpODAgv2nz8I3X5jWF8Wm5d6lXOpobpNb6cm9s3ird54Zk3G91wxyjcmxd5heD9341te2TC3czw/HArmpp6hkNH5VO4n/rpPazfv9vMj15Xx6OhzPgtaMFl5J9b5lMDU+JPDfB+0CDTLwfTH9S81d51tMvr8YT8jwM489vicwMNGQ+39IP37e6cj72g3LbJzLlBWUT9l+dXyNP0vMy9Z87PiGz8ru8aNJrVL0Q/8IE/rEJ84blCuNvSfK6WfbY76ZWTKDWajTfkskvE2bdRWZH+2Wqc5mMh+8Nlk8X7aBWkhMjcnp7g1R9uFmOXBqRsVRIGHsg101jq231XrkYhvFv26tl9Re/ZD7f0m/Etc8FW/exH5SHr8rpvSYAm+/wtn/Ms6xVjbKyqlWOj+o1qiMnZWN9o2xsbpSqpjxh3ISWlfXNsr6p1lnHBfjjbllWtzv9/mB5dNFqitcL45k/oDz+46Z8s9N8Xmqa5chNu9Z8DrubzfRGaT99VYbHwulPHvn7xsZ6E1J2Xkj/WDXnA7l8wHtek3Scuyl3recNXzkjHSbY9IzY9WX0/Hap2niy8ABkPsOp9fT3fe9Hqkufy3qzf7Z/RyBfKl20mtIs/DOZ9b1tf97N9Lvh9Ozvd8fvdub/DsY3WpulD+Mz96XvM9Pw+WirHEvcl2QqSybH5falbtmyZp8kCOMOQRjv+DF8aJievC2DRzZJfVWDmT6XkMsbxofk4EeZrwuVgxZcStMLpSaIm9D6rIBQWXoYn3N8V7/MiNez/K4yf4NMP/VC8jJ5YRYxc2GZUjOPPTfyhPGUDTL9qNAw/pY887bnxbBMtc3Tq48l6aId1ErxYqc5Hq0zDaYCAmXpYXzOx9cO52nw35SDK6vNvBHpaa6W9b25e+NzWmBDcN4GZU4fyTfbqmXlgTw9Q1iULlpN8WaH8cAHcnpzdcZn4a75DK1QAnrae2ZZJqCs3H81Y/pv/2iVqvqd8u09q3aJ9D/POwfUeaoTD+S3O9nTrx9o9L8Xhp3puDi6aDWluJDPZM7vxJuHZbVpc+/55zx1KQnjmEebJQ/jib+bhk9zr4zGOXD/2CFVa7pNhC4X2WE8xejRteYLZp9cCx8XE8ZHe8wyPhsIH9kMSEfVWjlWvg2BMqIFl5L0TwWfkOldyjzFcoZxz8kLZv7Tfnnmzuu8KLMvgh55v2bslEy6NfNZ5jA+YZY3++KGPG/Q52P5dNEOakXrnwreKAevKfMUyxnGPX/rbZaqlYflujvvyueyIuxx9muav1z4qY6LHcavHZaVNdvlm1QPE5ZNF62meHOF8fCzkPrMTAxKR121tH09T+/wpb2yoqp5rqc7fN62bx5l1y6B3+/Mv48WrLf/5Dm1Hcuri1ZTtAv8TOb+TvxFDq6ulvXdI/7jeb87CeOYR5ulDeMPTkhL1Srp/iV8XCFM303I4EjSJIuk3Pt5UC70J+T2ZJHXRptljJ9rl6p1vUsSxmWkW5qqWuTY3eDhgsP4dFKuHTJhfBdhPGpowaUUn35vgu68gXXOcofxR7WH5JVMycsDmdO93vrZm7uDU9ibvB8MxmR6S2bNvJYzjL+3Q16+8NaT68OXQhftoFasw94puAtoLJU7jE+OnZG2qlrZcylz+sXOWlm2ezB4PHpSNhZzXfYih/GLu611xLLqotUU7zxhPNUb/IP5/NSYMDrvGSPBmALp/aLg5wUO/6NVlu08I5d7d8r6+vAyvLom6ThvAs+TEfnGG/sgfS33Zjmeq5fe944c3+idUaLNW5h+T+qHn0tCmYfl10WrKdoFfiZzfydela4Pq2XjP4Izleb97iSMYx5tljSM3+ttWWBInZZ7/fuk9eO69LXS9c17sq6TlrtnpHV5h/RdP+Ffhx5cU10nTZ0Dcm8mXEZj+CW/fJVs+SpzDbwAW7+tXVrMF37tR6uk8aPg9er/NpBx/bpXp4VWv2c5nO7XhOua1tnmez9Y61Nj1qfnuuS/FDtPGP/5kNRXbZKv/wweZoTxmaSM9nfLFvva/Pq11usp16J7mm15+NWm7OnW68jMuFw72SEtqYOneb8bt/XKtcfh/JB7Zjm13vt4vVe2pLbZvB+30/P6MpezfK10/nDf/Onvy4X9m6QxXO/aj7fK1yPBMiFACy6l6IXrvGHZsexhPAzDM99by3xvdxh8UzXvyJT5eM9enhsYriDLGMbHTw2LjJ2VZ/tO+QO+BUzJ7OhZSdJTXnZdtINasXrheiFBtOxhPAwyqZ4WX78Xxw7oj/zThxd8OvhihnHvuvQaqzcUy6qLVlOMf9v9/wXHWVyQg5f/pb6fWD5dtJpi9b/jFhCKc34nXvlcVlpnUs373UkYxzzaLGkYzxVmczHaY8L7R+3S92vSxHLDdFJun2uX+prM66RltFeazBdm/eZeSTwIgvr0g37pMAGvvn6VCeX9Mpr0p8rD/g4TXjN75/31aj6UESSnfzkhreb5TUfnYnQhYdzHO009x48O/jbVm23yeuINqfVsPDTkP9bJHcaHDq2SqsZuP9x6ZIbxQene1SuDv45L0v9RYVqSP3dLiwnOnf/yK3yy1j9Nrp7xcfM6DVK1oVsS94PtkOR9SRwx21bTIses0Owve12LtKzZJwP+38b8DR6EPwV488zfcktPQh4Gf+Dw79Mg9Y0mlPePBus9/VAueK9nbScsThjPF65dFy2MW8t84oXo5xcladX5YVg7nT2fZQzj/nX1htlbPZLc8I7fY/+kZo1M/dtMf2rWlUHcyqqLdlAr1vnCtetihfGMZXoNOKdHbuyb7frp7PlcxDDuX0+74FHesVBdtJpiJIwXJ2F88XXRaop1od9xWfXWAG7rre/qeZdLGMc82ix5GC/4FOpfuqWxZpN8/SB8bOH32trBzA/jHSY6ZjJ0yAuMJ+Rh+DjgvhxrzlyPXOs1fn6rCYtmuWHveMlh/MEZaa1ZK91uD69Xv3yfJMKH2WSH8fQAbk74nf89DpZl1yw0jCe/a/evU9cG2vPHBNjeL2FEDwO3/nfUXzcYNK7lZOZfTe72SgunzGegBZdSrJie8fOp26W9YwKu0gueOp2905o2n2UM4952z/70SfbI7+99Ii/N9+urU+9kTseSdNEOasVaKT3jqdMecw6KNtYn22oapOuKNW0+FyuMj12Q9rqGrFPrsXy6aDXF652mPhc0V3xYa/5tkG0n5m7h5+l/LgoMEt512qnP0EKe56l//pQfqXxzn2KfV2/U/wJPU5530DpcFF20mmIt6jNp7SNep9HKdTulZzBz/AT9s2tJGMc82lRsz7g/MNm2vnSoyyDZJ1tMMEuH2hxh3A97Sih2A2vOAOu8TqFh3D8dv/WM8yNA+COCMj3X+s+hnE5ev0padp3IOi1c2xbvmvgTR7ZKS+Pc6ep2zeDfqqX279pPAXoYH/isWupz9eT7p823p3/A8N8bdXC47PctIPvHggCuX3fRgksp+mG5Eq4ZT4Vs/3FuZq/vyF5GLsscxnNt93zvCS5cF+2gVqwLbaSVPYz714xbIdsP3c53veWyzgVco71IYbzoAeWwYF20muJ1Au3EL3LQu1TC/Vz719kWMkCfc6mF97kr+frcMofxiQuyrYDn3f2nd0uzZun6J7c0W2pdtJqiLctnMtt56wjjmEebJQ3jucKxRv7g7gUzq6d4scK48zqFhnE9ZAahV2tg+S6wZzwX7raMej8M1DRIy/4TMvjzfRlPZofd/NvvBuBcYTnE/1vMPSfXe+GhzyOMF4oWXEpyV7/MyoQJw4UNTOYFTxnuynFv8Le8W5VnBOb5wvjk+d8zTj/3H/+RY+T0A4n0COtZ8zTLeZr6lSl/O7K3O7ienTBeXl20g1rReiOCVzUW3OPs9wBuz934+nZ7ZmCer7HmDxJlnX7uP851j+RLexd2T+/FCOMTV6Vr5esbKftN0UWrKV4l0HrXwnq9wfa0iUHZU2+ftZFD/zpaa/yA8AeleUdhD62UMB7carBR9vxIEH8dumg1RVuWz2S2/gCgqw/n/I4dOmSWs5B73uMbpc2ShnH/1POqVXLw5/BxHgrpGU8Hs8UK43+ekVbrdUoN44m/1+UMpvkpMoyHo9dnvt+lhnEzdd6e8bm/BWF88dCCS2m+YwK2d59xE4jf1+Zn6l+7LcMypQ1a1tAlr154wXYu2OcL408+PevcZzy8p3j6lHXXcETzwwWOaF7GMB78aKFsd0PYs7/XmY4l6aId1Ir3kQnYDeY4YQLxE21+pv612zWb5bR2r9p7psFflzmSc95G3c2jzn3G7/j3FM8dfkw4qqs1xwFtnuIihPGirl3HBeui1RSvHmjT99u3phV6n3G3V33ICynePZ2V+3e7LkUYHzPbsax+r1xW5vn6+yJB/HXqotWUYumfScV8P+aGZ5zkO5MK32xtljaMm2g9+Dfzhd/cLbedAdGzuL5P6ku8ZrzUMO4/33odP0wrp1z7PxwUEMb9a62Xt8tA/qHTFYoM49616FnvS+lh/OE58/4v5JpxwviioAWXkn1vjUybEOx1a08faJCJMJSPNzRI8uxFmXmakOd2rQmv8uiiJNe/nV7G+HoTlP3pmeE3O4y/LRNtn8jU5WETbqdM8F4z19vs3/P8d3nRlKrN1h9ITe2hViwljG8x6/JKZPbKJ+G0d4MfLcbNexFud2qbZ836TNjPxZJ10Q5qJWkaTUdMCK76cLMcuTQiY2Eof/zHiCRO75X1K3fL93at+X6qWve5XByZTC/j8cigdPnTM8NMdqNuUsaGr8o3BzabkNNggrfVUPPved4qx0dTtdl6tzwrNDiXFMbHzPfth2Z72s5YvTrBjwXre+fpKcWSddFqijdHoDV/cy9Yuz8G+SHGfFbbvhiU4T/Cz3w4oFWb+Yys2HlB7lr1gQ/kW+9Hrpom6Th3U+6mTnUfe2Ced1TaV7fKkeFgWlnD+PBJaW8/Kt/feCSPvccTj2T4knfqufWjl/vZJohXhC5aTWmW+pnUNMtsN8us3y6nb1pnC439Iqe3edN3yvfzXuaBb6o2SxzGDTMmbG0wX4QfbZVjifuSDEP59OR9GTq3T1oa98igP2VcBrzgro6mnjloWTnCeO22M3Iv/QPBtDz8cZ80mi9we9T2pAm3tea1u2+lRhAflcEjW4Pbb1mhMhjgzKyPdz23d+/yEbOd/pxROeFt+8cdciEcTd17reSvg9L3r6wryS2KDON/9kmrWbeWo0PpUckTRzb5143X778e1BhuH1k19wOJ9x7fTa1LjgCc+htqo6l7220PdE8YXzS04FIe35anx03wHjeBM8WrKZkdMwH9eIOM27UNn8j0qFUXot3myw/jDrPPJ2Tm5qmMMO/57PJE7lPUU3qnqns91LXKPNdSwviGHj+MZ95y7a+SHBiW2RfhhryYkFcDO2SCkdTLrot2UCvdSRk+t1c2rjbHnNSlQ+b7f+W6zXLw3EjQsE9574ocabPqQlduPiqXnR5zv1Hn1C37sEk2dnyZEeY9/RHK5zul0TtVvaDreI2lhHHvFGU/aA3MjZjuDYJVt1O+pXG56LpoNcWbO9DePb/dfL5a5bhzy7rHw31ycHOzrPDaOt7nuKZWVrbuzhrQyvXu4JfSvq7BLHPueStM6OnovZIeLK6sYXzsqhzvaJXV9eHrGVd4A2/Z14A7n21tH83UfOZTz8VF00WrKYfFfyZzODEi33Yo3/NNu+XbX5V6xFCbpQ/jPuG9v9dkNnwam7dKd//9IHj7eHV7Mu9l3bYv+z7jZQjjVeGO6d1nvN77f81a6brsdmGPy7WeMHx7tR+b9b10X273tJhwa13xbcLq19tWpbetfkNwX20f9/7c3vw1m6Trx0UI44aM+3vXt/j38B5PHJKm5dbyxhPStS68l7v3HncOhPchzxOAve3w3guznOB5DeqAcoTxxUMLLq/LJzV/lcmmD3wnago8dRyxAF20g9prceyB/DZ6xzfdy4JYBl20GsQ46aLVVLRPHqWPB7+lziBBzKPNawrjlUU6wCbH5eGfD41hTzxABaMFF8S46aId1BDjpItWgxgnXbQaxDhpQxg3uL3JAFFACy6IcdNFO6ghxkkXrQYxTrpoNYhx0oYwbiCMQxTRggti3HTRDmqIcdJFq0GMky5aDWKctCGMGwjjEEW04IIYN120gxpinHTRahDjpItWgxgnbQjjhttn9kj3pXwDqAFUHlpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcYCIogUXxLjpoh3UEOOki1aDGCddtBrEOGlDGAeIKFpwQYybLtpBDTFOumg1iHHSRatBjJM2hHGAiKIFF8S46aId1BDjpItWgxgnXbQaxDhpQxgHiChacEGMmy7aQQ0xTrpoNYhx0kWrQYyTNoRxgIiiBRfEuOmiHdQQ46SLVoMYJ120GsQ4aUMYB4goWnBBjJsu2kENMU66aDWIcdJFq0GMkzaEcQAAAAAAAIAlJm8YBwAAAAAAAIDyQxgHAAAAAAAAWGII4wAAAAAAAABLDGEcAAAAAAAAYIkhjANEFG10RkRERERErFxtCOMAEUXbuRERERERsXK1yRvG/8//+T++AFB5aDs3IiIiIiJWrjaEcYCIou3ciIiIiIhYudoQxgEiirZzIyIiIiJi5WpDGAeIKNrOjYiIiIiIlasNYRwgomg7NyIiIiIiVq42hHGAiKLt3IiIiIiIWLnaEMYBIoq2cyMiIiIiYuVqQxgHiCjazo2IiIiIiJWrDWEcIKJoOzciIiIiIlauNoRxgIii7dyIiIiIiFi52hDGASKKtnMjIiIiImLlakMYB4go2s6NiIiIiIiVqw1hHCCiaDs3IiIiIiJWrjaEcYCIou3ciIiIiIhYudoQxgEiirZzIyIiIiJi5WpDGAeIKNrOjYiIiIiIlasNYRwgomg7NyIiIiIiVq42hHGAiKLt3IiIiIiIWLnaEMYBIoq2cyMiIiIiYuVqQxgHiCjazo2IiIiIiJWrDWEcIKJoOzciIiIiIlauNoRxgIii7dyIiIiIiFi52hDGASKKtnMjIiIiImLlakMYB4go2s6NiIiIiIiVqw1hHCCiaDs3IiIiIiJWrjaEcYCIou3ciIiIiIhYudoQxgEiirZzIyIiIiJi5WpDGAeIKNrOjYiIiIiIlasNYRwgomg7NyIiIiIiVq42hHGAiKLt3IiIiIiIWLnaEMYBIoq2c0fa3jr5j798Jj9p88rkT9v+W/7j//63bE3o8yvFYD3/X9r/2najqJo32sRn8l//t056tXlRdhG2q1z7RVT2ryX1dX8O83yv8vcq0ih8tyzB8RTfION6PH2N2hDGASKKtnNH2iVoPPRWB8H1f3r1+eXSb+RWn1LnLcwbsvUv8wXtQmqWzvJte4mWufEQ1+3yLNd+sVT7VyHG+e+1IPN8r1bS36sQ+ZsuwEU+nqY+O/leo5CaQk0vqxL+/kson/n4akMYB4go2s4daWP0S375DqCE8aIljL/R8vcK5Xu1/L7hYTwIxmb75/2hJ39NofrLqoS/+2uQz3x8tSGMA0QUbecu3SDY+b9A+2pfvqfkf9Lzje6BIvWl7f8b1igHY/8gY89XDtoZNcbiAqezvlrDoMB1DuqsZdnvT9Y828xTQQvfriUI49q2Z6xvruVb0xew7fN9fjLfG+/9teozauf5rGrbpf1N8xnR7dIbr8HrzfWCOuub673Jeg+c9Sl0OfO8P2/y38tz3u8ELdTM953pzcuqKdPfqxC1bee7xXGe1yrb372Az9i8ptY1XEdt3QqqKVx/nUt4/sKc529RiHzmy+Qi/S2cdS7sWLk42hDGASKKtnOXZvjlZ30xZR8Is7+ksr7M/C++/5b/qp57XlaNd4C2DyqpL0v7tfwa+wu4DF+QuRoGhaxzWJNxIPSnZR8k/Pct6ws+dEHblevAbVtITR6V9z44gFvrmLXOOaYZ8257IZ+flKm/yV+yX6Ogz2ohf9MFGKnt8muUv5f22c83L3ytQj7zvjlfo0zfGwswUn+vrH1J+U7Q3lt3mr+ceb5XbUv5exWi8vr++2Nva9a255hmjNTftCALeC3tb+RO89+v0o+n/jZ4z1NM1yVu5F83z0JqCtJbR+f7Z9Es4G9RiHzmy2A5/xbzrLNfo/wtiv7MFq4NYRwgomg7d0lqX0r+9LkDq35gcA6Y4RdgxgHUOdCoX+LOF+BP5nUz5hu95xUdOj1zfckWsM453x/FfAfQhW1XcFBa/DDubpd7kA9ewz3oa6+Zd9sL+fyk1P4mGfPyf1YL+psuwGhtV+F/L9+8+8UC3q8cyyno/XmD/14FfSdo760zzXtO1nbl+Jvkm7eg9yef6vvjLYfvFt9CXqtMf/clPZ7aFlKTw+Bv+pn/+Zj7YWCBn8FCLeRvUYjqcvjML8iy/i3mW+cFHivLqA1hHCCiaDt3SRZw0FQP+u6BRvsizZgWfPllfdkpr++/XvogHLgojYd519kzWO/0uuQ4QHrmO4B6Fr5dOd6rDAupyaO27coyM7cpxwE/qy7Tgj4/KdX1Ci3gs1rY37Rwo7Zdhf69fHO+buGfed8cyynP98bCjNrfa97vBO21Mqbl+B7It46l/L0KUX3v3qDvFm9Z1t8zK7gU8lpaTca0wv/u837GFmqx61+gwfpmfhb8z0Cuv10+vfXI2PYi/haF+KZ/5gvxdf4tlGmF/i3KrQ1hHCCiaDt3SRbwBVjQl/+8X4CFNR78L0hnfbzXX5TGQ4Ff2nMG2+AfSJTl5TuALmy7crxXGRZSk0d1O7Vlzh2k5t2+HPMi23gwRm677GnzLbeQ153nM++bYznl+d5YmFH6exX0naC9Vsa0HN8D+daxlL9XIarvHd8taQt5La0mY1phf/dCPmP+e+jt34rq373Y9S/Qsn0OC7GE9cyQz3zpLubfYr5p5XrtArQhjANEFG3nLskCvlj1A8PcQcV/XMAXoHoQcb4EtRpvWlajYyHm+qItYJ11nW0PXegBNPd25WhoZVhITR7V7dQP6MF6nvJfL1djaOENC/09zPv+F/K3Kfpvqhu97Qo+F97fad79ZkENkBzb5ZljOQW9PwVvV2FG6e9V0HeC9966yyngOzPv37aUv1chqu+Ptxy+W3wLeU6Z/u4FfcYWar7PVspCanKY+2+a+zNStMX8/TTV5fCZX5DlWm7B67yAY2UZtSGMA0QUbecuzeALyf5y97/sM764sg8qWQf5Qr4A/QaGfcAIX9s6aPuvbR/EzXP+6y//vTiNhwLW2d9Ot8bfDmeacd4DaMHbVUjQLqQmj/52Zj4/+++eWavOC8237QV9flJqf5O0BXxWC/ibLsQoblewznV648w2x36xkM98ep62f5Xre2MBRunv5T9n3u8Ed53D13aeN9/3aoal/L0K0d9OvltyW8BrlenvXthnbIHm/PxYzleT+rtrNf68zO+unJ+fki3kb1GA4fbwmS/Fcv4tClvn4H0u4FhZRm0I4wARRdu5Szf8EvQPEJ7al19wAEjXuF/8hX4B+g2I1HLMF+C27IO2f2CxX8dfTvh/qy6/zvpapg+YRa2zZ64vbvc1M+vm267gwGPVpJ1bTiE1BRlu59aM5Wl/d8/g85G/AZd/2+f7/OTeLned5vmsFvo3LdgIbpc/3SxDbQy72zNnxt933s98gcuZ5/150/9eBX3Xpab5mu1RvjPn/14t09+rEMPt5Lsln/O8lmdZ/u5lOp5mfR9YppZTSE3W8nK8dxnbblS/y8plAX+L+Qw/B3zmS7V8f4uC1tmfbl5nUT9fmdoQxgEiirZzIy7YBR1QvQO/2xhARFTkuwXfNPnMY4HaEMYBIoq2cyMu2AU0Hvxf2Zfwl2NEjLB8t+CbJp95LFAbwrjG/ety4eeH4QOoPB7K4JF2OXE9fPiGou3ciAu2gMbD3Klu/IqPiAXKdwu+afKZxwK1WeIwPiAdVdVSZVvTIE1t+2TgflhSAYz2rJWqXQPho6Vh/FafdLWtlfqa1PtSJ/VrNklnz6Dcmw6LIGRUjq2rlo4fw4dvKNrOjYiIiIiIlavNawjja+XYaPjQMD15Wy78bZUJny1ybCSc+JopNIwnOk1oXtNromEpjMu1Iy1m+9dKZ/9tGU+Gk6eTcu/nPuk0gfzEg3AahBDGPbSdGxERERERK1eb1x7GA8alb5sJtkvaGx2sS7fyA8BS9ow//GqTVNV3yMB4OAEKgDDuoe3ciIiIiIhYudpUSBgPA/C6UnuZCyf5uE925FuXpQjjMwnpXF4tO75LdYdDLrwzKBL9/XIh4Z09QBj30HZuRERERESsXG0qK4w398q94JEftpp6sgsHdmVOT+xvkJae23Kvf5+0flwXXG+9fJVs+SpPrP+xI/O6dd+59UqF8fGrJ6SjuSGYX1MnTfsTYndg3/tqk9T+zQrtM/dloLNl7rpvsx6tnf25f2C4bNajpkMGZsLHhfD4upzYlfkaW3quy3jGMhLSVd8i3ZcHpKttldSGtY3beuWa2QB/u9aF71WNef/U7eqTayc7pKU+9TprpfOH+yYV35cL+zdJY7jM2o+3ytfW2QXTDxJyonOTNKWe51373rwnc0yAu2ekdbnZbmdb6pv3ScI9Q2D6tpzYbP4G3nIaV0ljY+rvQRjXdm5ERERERKxcbSojjM+MSrcJ341HbocTCg/j3uOqGhNIjwzKaNjBPH51nzRVNUhXInisM88PAybsNf2tX25PBqOnTZsAuWV5tbR+NTfKutuDnvh7g9Tv6peH4YBryftD0nc+Ibn6vf3nL+RsgHGzzibkthxJyL1wocn7CeneYN6DZrOcdCD3ts1MW7NHLoykCoeku9mE5/oGadzcK4kHwUomb3VLi9lWu3c+2P4GE/IT4bZMy8P+Dqk372l9o3dt+6gkvdeafigXdplw3Ngt6b/cuT3SdW5I7oXvm1nBoGbDCUm/c6O95u9j1mVdh/T9/NAs3WBC/tfb6qSq9cxcnfnf163etpnlh4vzeTwonR9ZYXz0hL8N9QferOHVtZ0bERERERErV5vXG8ank/Lw137pXGMC1wY7TC4sjDcddeuS/jXo2vPnmCeMf5Z9mvrQIRMqrfCdGcaDdd5yPlf0zsYN8/lJyoXtJnD+XfmFYcbrCbcDtb5tyfNbpap2j7hLGPybef9zbleKITloAnDLSeeWb3d7pSXH+5jGPxOhw6xViB/G27PPCPj5kAn8Vt2/9khtzVbpy7qe3jlN/UGftJow3ng09ZPAm4G2cyMiIiIiYuVq8xrCuAl+ofUfeadKN8iOM0POadYLDOMF1GXhh8hN8vWf4WOLXCHZnZ792BsV3Tvtu0+G7s8fyv3nF9ozPjMgO8x7dfDn8LGD/0NB+geEHD80uKE4ZL7tCsj1N1Fea2Zchvp7pbNtrTSmTlfPCuPZ6+FO97dpW59yZoETxt9QtJ0bERERERErV5vX2zMenp7ekhXwliCM5wqEBj2MZk/X6jKuM2/cKseuZ3XrzuGF40KvGffXN3cPtL8u6WD/GsO4dyr9R2bb13TIsXMJuf1nUqbVnnHlvXeme39D7e+QWhfCuL6DIyIiIiJiZWrzesO4x8+HpNG7x3hGxotuGE8z/VASPZukvmaTfJ3rPuHJftlR453aniewpyikZzy9Lq8vjCf+t87vzc7YoiLDeOLvwbLoGdfRdu5y+dO2/5b/+L//LVsT+vwMe+vkP/7ymfykzFvQchARERERY67N6w/jBm/gM38AsvBxauCu7GvBzRI+i0gY9xmV7jX5Q+Nob0twn/HH4YScPJS+ttKuGV/8MJ6jpsgw7j+vkGvG31C0nbtc9lb/PxOi/5/8T68+P8M8YXxBy0FEREREjLk2FRHGJTnojxKeNVK5CakXwlG/px8MSd/f1vq36SpLGPd7pRuk44cg6SXvj6ZHKM8VsvOH1qQM9nbL4K/JYHTwmaSMnmuX+pp2uZD38vFxGfhbgwmd3ijl3j20w8nJcbl9qVc61mySY3fDaSO9/qjh2mjq9WY95jLr6wrjItf2m22x/m7JkT7Z0ehdM26F6kLDuPeazea5zYfkWurHivT7aoVxRlN/veYJ44iIiIiIOKdNZYRxw/gP7SZoW6d0+/fsDsK3P9hb8x7pu+UF1zoT2uduWl10GDeMfrU1fb/sqvoWOfZrOL2oMO6dlt4hLf6gdHPrfOGufU+u3KSuNU9tr39fbRPEO0869xB/fF2ObZu7d7i33h1uTa73eQnCeMbfzWxDcG/zUekz65y+pr3gMG4YT0iXN9q+2dbaj4Jr8Zv2n/CnpcN4OJp6S6+7bvFG27lL85T8z/8NerJ98556btVkhfEilmP8r203smoQEREREeOkzRKHcYDiSD5+KA//fDh35gCoO3fZzNXb7U23rwFPfCb/lSdw519OnfSmpwUBntPZERERETHO2hDGASKKtnOXzRwh2r8GvPpUxrScgTvPvJ8S2b3g3rLpHUdERETEOGtDGAeIKNrOXTbVEH1Dtv5FCcxFhHHP1OBunKqOiIiIiG+KNoRxgIii7dxlc5HDuH+9uDOdnnFEREREjLs2hHGAiKLt3GUzR4gu12nq2nII44iIiIgYd20I4wARRdu5y2augO1NtwdwC3vLFxrGs3rGTd1//eW/CeOIiIiIGGttCOMAEUXbuUvTuSWZZUZI9gN5ap4J5tvcwF3YcjKuGfd6yVMjs7s974iIiIiIMdGGMA4QUbSdGxERERERK1cbwjhARNF2bkRERERErFxtCOMAEUXbuRERERERsXK1IYwDRBRt50ZERERExMrVhjAOEFG0nRsREREREStXG8I4QETRdm5ERERERKxcbQjjABFF27kREREREbFytSGMA0QUbedGRERERMTK1YYwDhBRtJ0bERERERErVxvCOEBE0XZuRERERESsXG0I4wARRdu5ERERERGxcrUhjANEFG3nRkRERETEytWGMA4QUbSdGxERERERK1cbwjhARNF2bkRERERErFxtCOMAEUXbuRERERERsXK1IYwDRBRt50ZERERExMrVhjAOEFG0nRsREREREStXG8I4QETRdm5ERERERKxcbQjjABFF27kREREREbFytSGMA0QUbedGRERERMTK1YYwDhBRtJ0bERERERErVxvCOEBE0XZuRERERESsXG0I4wARRdu5ERERERGxcrUhjANEFG3nRkRERETEytWGMA4QUbSdGxERERERK1cbwjhARNF2bkRERERErFxtCOMAEUXbuRERERERsXK1IYwDRBRt50ZERERExMrVhjAOEFG0nRsREREREStXG8I4QETRdm5ERERERKxcbQjjABFF27kREREREbFytSGMA0QUbedGRERERMTK1YYwDhBRtJ0bERERERErVxvCOEBE0XZuRERERESsXG0I4wARRdu5ERERERGxcrUhjAMAAAAAAAAsMYRxAAAAAAAAgCWGpA0AAAAAAACwpIj8/xJfry/SNT/QAAAAAElFTkSuQmCC
|
||
|