diff --git a/analyse_lum_pyr_v2.ipynb b/analyse_lum_pyr_v2.ipynb new file mode 100644 index 0000000..5f020fe --- /dev/null +++ b/analyse_lum_pyr_v2.ipynb @@ -0,0 +1,288 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": true, + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import time\n", + "import math\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.dates as dates\n", + "%matplotlib inline \n", + "from datetime import datetime, timedelta" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true, + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "#defining time format\n", + "format = '%d/%m/%Y %H:%M'\n", + "formata = '%H:%M:%S'\n", + "formatb = '%Y-%m-%d %H:%M:%S.%f'\n", + "formatc = '%d.%m.%Y %H:%M:%S'" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "data_lum_pyr=pd.read_excel(\"mesures_pyr_lum.xlsx\")" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "Lux_meter=pd.DataFrame()\n", + "Lux_meter['Datetime_lum']=data_lum_pyr['Datetime_lum']\n", + "Lux_meter['Lum']=data_lum_pyr['Lum'].astype(float)\n", + "Lux_meter['Datetime_lum']=pd.to_datetime(Lux_meter['Datetime_lum'],format=format)\n", + "#Lux_meter['Lum']=Lux_meter['Lum']\n", + "Lux_meter=Lux_meter.set_index('Datetime_lum')" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "Pyr_meter=pd.DataFrame()\n", + "Pyr_meter['Datetime_pyr']=data_lum_pyr['Datetime_pyr'][:14777]\n", + "Pyr_meter['Pyr']=data_lum_pyr['Pyr'][:14777].astype(float)\n", + "Pyr_meter['Datetime_pyr']=pd.to_datetime(Pyr_meter['Datetime_pyr'],format=format)\n", + "#Pyr_meter['Pyr']=Pyr_meter['Pyr']\n", + "Pyr_meter=Pyr_meter.set_index('Datetime_pyr')" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Datetime_pyr\n", + "2019-02-10 17:52:41 -0.600006\n", + "2019-02-10 21:33:45 -0.600006\n", + "2019-02-10 23:48:31 -0.299988\n", + "2019-02-11 07:47:58 -0.299988\n", + "2019-02-10 16:38:39 -0.199982\n", + "2019-02-10 17:39:36 -0.100006\n", + "2019-02-10 17:50:25 -0.100006\n", + "2019-02-10 18:39:00 -0.100006\n", + "2019-02-10 16:36:30 0.200012\n", + "2019-02-11 07:39:54 0.200012\n", + "2019-02-11 07:45:58 0.200012\n", + "2019-02-11 07:50:09 0.200012\n", + "2019-02-10 17:48:11 0.399994\n", + "2019-02-10 16:08:44 0.700012\n", + "2019-02-11 07:43:53 0.700012\n", + "2019-02-10 17:37:44 0.899994\n", + "2019-02-10 16:11:02 1.200012\n", + "2019-02-10 16:34:36 1.200012\n", + "2019-02-11 07:52:21 1.200012\n", + "2019-02-10 16:47:02 1.600006\n", + "2019-02-10 16:51:07 1.600006\n", + "2019-02-10 16:59:40 1.600006\n", + "2019-02-11 07:54:28 1.700012\n", + "2019-02-10 16:48:57 2.100006\n", + "2019-02-10 16:57:34 2.100006\n", + "2019-02-10 17:03:36 2.100006\n", + "2019-02-10 16:06:33 2.200012\n", + "2019-02-10 16:15:00 2.200012\n", + "2019-02-10 16:40:37 2.600006\n", + "2019-02-10 16:44:55 2.600006\n", + " ... \n", + "2019-02-11 10:22:34 148.700012\n", + "2019-02-11 11:44:26 151.200012\n", + "2019-02-11 10:52:00 153.100037\n", + "2019-02-11 11:02:20 155.799988\n", + "2019-02-11 11:46:33 170.400024\n", + "2019-02-11 11:00:11 179.900024\n", + "2019-02-11 10:39:25 184.700012\n", + "2019-02-11 10:54:00 188.600037\n", + "2019-02-11 11:48:46 193.900024\n", + "2019-02-11 10:58:13 201.400024\n", + "2019-02-11 10:24:42 204.400024\n", + "2019-02-11 12:13:58 208.400024\n", + "2019-02-11 10:55:58 210.400024\n", + "2019-02-11 11:50:56 219.000000\n", + "2019-02-11 12:12:05 221.100037\n", + "2019-02-11 11:53:01 223.000000\n", + "2019-02-11 10:37:12 231.700012\n", + "2019-02-11 11:55:06 232.100037\n", + "2019-02-11 12:09:48 234.100037\n", + "2019-02-11 12:01:16 236.200012\n", + "2019-02-11 11:59:10 237.700012\n", + "2019-02-11 11:57:07 239.200012\n", + "2019-02-11 12:07:40 240.700012\n", + "2019-02-11 12:03:25 242.200012\n", + "2019-02-11 12:05:39 243.200012\n", + "2019-02-11 10:35:01 250.600037\n", + "2019-02-11 10:32:52 372.000000\n", + "2019-02-11 10:26:51 430.700012\n", + "2019-02-11 10:30:55 491.299988\n", + "2019-02-11 10:28:47 513.400024\n", + "Name: Pyr, dtype: float64" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Pyr_meter['Pyr']" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [ + { + "data": { + "image/png": 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Ueg4cIGn5cq5eXMSvXs5CxUHXu1bKgCvXUhru/HyCh6zAk96O4MlW4Ikr+9gq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\nRFw6jeI//sDarRutnv0vcXPm4C4sJHjkCFo/9yy2AQOIuvFG8hYu4tB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RNFm0kdNoNBpN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\n5P4AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting graph for luxmeter and pyranometer from given stations\n", + "aaa=Pyr_meter['Pyr']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "bbb=Lux_meter['Lum']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "\n", + "color = 'tab:blue'\n", + "u=bbb.plot(label='Luxmeter',color=color)\n", + "plt.ylabel('Luxmeter (lux)')\n", + "\n", + "v = u.twinx()\n", + "#plt.axhline(y=2000, color='r', linestyle='-')\n", + "\n", + "color = 'tab:red'\n", + "v=aaa.plot(label='Pyranometer',color=color)\n", + "plt.ylabel('Pyranometer (W m$^{-2}$)')\n", + "\n", + "#plt.legend(loc='best', bbox_to_anchor=(0.85, 0.25, 0.5, 0.5))\n", + "plt.tick_params(\n", + " axis='x', # changes apply to the x-axis\n", + " which='minor', # both major and minor ticks are affected\n", + " labelright='True') # labels along the bottom edge are off\n", + "\n", + "#Saving figures\n", + "#plt.savefig('pyr_lux.jpg', bbox_inches='tight',dpi=200)" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [], + "source": [ + "mean_pyr=Pyr_meter['Pyr'].resample('5min').mean()\n", + "mean_lux=Lux_meter['Lum'].resample('15min').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "image/png": 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Gpg1gAC4ek8Dfv85mR4kFV3o6AePajtdD1+94156AtDQq3/+A+sxM/J54mg2r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\nXc5lsF8c5x/hfofW7AFib76ZvA8+5Pw1H3Bn13EYY3T0kDo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90B9r9SUD/AfoZ4x5pD5D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\nY6V2gAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting graph for luxmeter and pyranometer from given stations\n", + "aaa=mean_lux['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "bbb=Lux_meter['Lum']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "\n", + "color = 'tab:blue'\n", + "v=bbb.plot(label='Luxmeter',color=color)\n", + "plt.ylabel('Luxmeter (lux)')\n", + "\n", + "#plt.axhline(y=2000, color='r', linestyle='-')\n", + "\n", + "v = u.twinx()\n", + "\n", + "color = 'tab:red'\n", + "u=aaa.plot(label='Luxmeter mean',color=color)\n", + "plt.ylabel('Luxmeter mean (lux)')#(Wm$^{-2}$)')\n", + "\n", + "plt.legend(loc='best', bbox_to_anchor=(0.85, 0.25, 0.5, 0.5))\n", + "plt.tick_params(\n", + " axis='x', # changes apply to the x-axis\n", + " which='minor', # both major and minor ticks are affected\n", + " labelright='True') # labels along the bottom edge are off\n", + "\n", + "#Saving figures\n", + "#plt.savefig('tag_10.jpg', bbox_inches='tight',dpi=200)" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "celltoolbar": "Slideshow", + "kernelspec": { + "display_name": "Python [default]", + "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": "3.5.2" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/analyse_lum_pyr_v4.ipynb b/analyse_lum_pyr_v4.ipynb new file mode 100644 index 0000000..5aaf6e2 --- /dev/null +++ b/analyse_lum_pyr_v4.ipynb @@ -0,0 +1,935 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import time\n", + "import math\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.dates as dates\n", + "%matplotlib inline \n", + "from datetime import datetime, timedelta" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "outputs": [], + "source": [ + "#defining time format\n", + "format = '%d/%m/%Y %H:%M'\n", + "formata = '%H:%M:%S'\n", + "formatb = '%Y-%m-%d %H:%M:%S.%f'\n", + "formatc = '%d.%m.%Y %H:%M:%S'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "data_lum_pyr=pd.read_excel(\"mesures_pyr_lum.xlsx\")" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "Lux_meter=pd.DataFrame()\n", + "Lux_meter['Datetime_lum']=data_lum_pyr['Datetime_lum']\n", + "Lux_meter['Lum']=data_lum_pyr['Lum'].astype(float)\n", + "Lux_meter['Datetime_lum']=pd.to_datetime(Lux_meter['Datetime_lum'],format=format)\n", + "#Lux_meter['Lum']=Lux_meter['Lum']\n", + "Lux_meter=Lux_meter.set_index('Datetime_lum')\n", + "#Lux_meter.sort_values(\"Datetime_lum\", inplace = True) " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "Pyr_meter=pd.DataFrame()\n", + "Pyr_meter['Datetime_pyr']=data_lum_pyr['Datetime_pyr'][:14777]\n", + "Pyr_meter['Pyr']=data_lum_pyr['Pyr'][:14777].astype(float)\n", + "Pyr_meter['Datetime_pyr']=pd.to_datetime(Pyr_meter['Datetime_pyr'],format=format)\n", + "#Pyr_meter['Pyr']=Pyr_meter['Pyr']\n", + "Pyr_meter=Pyr_meter.set_index('Datetime_pyr')\n", + "Pyr_meter.sort_values(\"Datetime_pyr\", inplace = True) " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "limit_lux=2000" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "Lux_meter['Test']=np.where(Lux_meter['Lum']" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting graph for luxmeter and pyranometer from given stations\n", + "aaa=Pyr_meter['Pyr']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "bbb=Lux_meter['Lum']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "\n", + "color = 'tab:blue'\n", + "u=bbb.plot(label='Luxmeter',color=color)\n", + "plt.ylabel('Luxmeter (lux)')\n", + "\n", + "v = u.twinx()\n", + "#plt.axhline(y=2000, color='r', linestyle='-')\n", + "\n", + "color = 'tab:red'\n", + "v=aaa.plot(label='Pyranometer',color=color)\n", + "plt.ylabel('Pyranometer (W m$^{-2}$)')\n", + "\n", + "#plt.legend(loc='best', bbox_to_anchor=(0.85, 0.25, 0.5, 0.5))\n", + "plt.tick_params(\n", + " axis='x', # changes apply to the x-axis\n", + " which='minor', # both major and minor ticks are affected\n", + " labelright='True') # labels along the bottom edge are off\n", + "\n", + "#Saving figures\n", + "#plt.savefig('pyr_lux.jpg', bbox_inches='tight',dpi=200)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "Pyr_meter=Pyr_meter.drop(columns=['mean_pyr'])\n", + "Lux_meter=Lux_meter.drop(columns=['mean_lux'])" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 2.09997559],\n", + " [-10.59997559],\n", + " [ -0.20001221],\n", + " ...,\n", + " [ -0.5 ],\n", + " [ -0.5 ],\n", + " [ -0.5 ]])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "difference(Pyr_meter.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "image/png": 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WVrvfY9A0Tevga8Wis/cy03JrL8aiDRL20lKcNTW7JhV51oim9MFwrnHsWAgKojUnh/ATTuhyLMIY5N0M3Fc2h4ugANFrSzVNOyC+9kQP7/Q4BngQONNPMWkDXMfsWO+kIk+1oqQI//dEDUYjxqwsWnP2LLoQbgyksdXh83u12pxMe3wR76/e2Zshapp2CPF1du7NnV+LSCTwtl8i0ga81pwcJDSUkMxMAKqb3Ek0MSKkTz7flJ1Nw8cfoxwOJHDXr3CEKYimdt97oturrTS02Pnk5xLmTEvzR6iaph3kDnRT7hbcm2Zrh6DORRYAapttGASiQ4P3c2XvME2ahGptpT0/v0t7T3uiW6uaAFhTXE+NXl+qadoB8HWJy79F5AvPYwGwBfjcv6FpA5GrpYW2zZu9Q7kANdZ2YsJCMBj65r5ix2e37LbUpaf3RLdVWQFQCr7Lq+y9ADVNO2T4OrHoqU7PHUCxUqrED/FoA1zrxo3gdGKa3DmJ2ogz900vFCAoNYWAuDja1q+Hiy/2tocbA2ls60FPtNLKiPgwWm1OluZXc+HhekhX07Se8fWe6FJ/B6INDh0Tejr29wR3qb2OYgd9QUQwZU/asydqcvdEfd3JZVu1lVEJ4QQECOt3Nuz3fE3TtN3tbz/RJhFp7ObRJCKNfRWkNnC05uQQnJ5OYHS0t63GavMWgO8rpkmTsBfvwFFf720LNwZidyra7PvfL97mcFFc28LIBDMTUiMpqW+lvlkXatA0rWf2mUSVUuFKqYhuHuFKqYi+ClIbGNxFFnK63A8Fd080NqzveqKAt9BD5/1FIzxboPlyX7SothmnS5GZaGZiaiQAv5Ra/BCppmkHs/31RM37ewNfztEODvadO3HW1XVJoq02J802J3HhfdsTNY4bBwEBXerohhvddyd8uS9aUN0MQEacmXE6iWqadoD2Nzv3cxF5WkRmiEhYR6OIZIjINSLyLXCyf0PUBgpv0fnJXWfmAsT1cU/UEBpKyOhRXXuiJndPtNGHnmhZg7vKUmq0iUhTEOmxofxSopOopmk9s7/h3BOA74DrgVwRsYhILfAvIAm4Qin1cXfXishQEfleRPJEJFdEbvW0x4jIQhHZ6vkz2tMuIvKciGwTkQ0iclin97rCc/5WEbmid350radac3IwhIURMnKkt63Wcx+xr++JgntIt239BpTTCUCEpyfa1E1P1FFTg71y1zKWsoZWjEEGokPdiXd8aqTuiWqa1mP7XSeqlPpKKXWJUipdKRWplIpVSh2llHpMKVWxj0sdwO1KqTHAkcBNIjIWuAv4TimViTtB3+U5/xTcBRwygeuAF8GddIEHgCOAacADHYlX8w9re/fDoS05ORgnTkACArxtHZtg9+Xs3A6mSZNwtbTQvm07sOueaONuRejtZWUUnHMORRdehKvV3QMts7SSEmXyzuKdOCSS0oZW6vTkIk3TekCUUn3zQSKfA3/3PI5VSpWLSDKwRCk1WkRe8jx/z3P+FuDYjodnGzZ2P687U8PD1ZopU/z68xyMXEpRVNtCVWMb41IivfcYAVwuF1uqqokNCyMhfNdt8KqmdgqqrUxOiyYk8EALYB0Ym8PB9ppakiLCiQ4NxeZw8fOOeobHmb0lCJ0uF8V19dicDpSCeHMYcWYzv5RaCDQIY5Ld8+MsrXbyyhvJSo4gyjMsrGmHGlm6dK1Samp/xzGY9Mm/eiKSDkwGVgKJSqlyAM+fCZ7TUoHOlcBLPG17a9/9M64TkTUissZu19thHYjqJhtVje46uA2tXXtkrXZ37zQ0uGuCsTvdy0mCAvp+F5SggAACRGj1/PcO8MTgdLljUkpR2mCh3eFgSFQU5pAQaptbcDid2BwuQgJ39ajDQtxfGJr30gvXNE3rjq8Viw6YZ/bufOB3SqnGfSyC7+6A2kd71walXgZeBpg6dapiyZIDivdQ9szHG1iYV0lKlJEIYxDv/uZI77HWf7wEf/kLpq+/hqgob/ur/87lozUlbHzopD6PVwDTDb+ldccO+OpLDEpxyb1fc8PMDO44cTSVjzxC87vvkfTwQ5gvuICgwkIKzjiTiuOO51zbNG6bPYpbTnCXgA4E7n5qCaMSzbx0mf4irh2i9JaAPeZzT1REAkQkRUTSOh4+XBOEO4G+o5T6xNNc6RnGxfNnlae9BBja6fIhQNk+2rVetrHMwriUCKYOiyFnZwMO566iBa05OQRnZBDQKYEC1PZDoYXOTNmTsBUU4LRYEBEijIFYWu3Uv/UW9e++R8zVVxN9wQUAhAwfTvSFF9I0fz5pjRWkRHXdum1CaqSeoatpWo/4WoD+ZqASWAh86Xks2M81ArwG5Cmlnul06AugY4btFewqZP8FcLlnlu6RgMUz3PstcKKIRHsmFJ3oadN6UbvDSX5lE+NTIzlsWDQtNiebK9y7nCilaF2/fo8iCwC1ze3EhvVnEvUUXdiwAYCYsGAifl5O5RN/Inz2LBLuuB0Al0uxraoJ52VXo0KMXJ375R6biE8cEkmZpY3qJr2ji6ZpvvG1J3orMFopNU4pNcHzmLifa34FXAYcLyI5nsepwBPAbBHZCsz2vAb4CigAtgGvADcCKKXqgEeA1Z7Hw542rRflV1ixOxUTUiOZOsw9+XlNkfuv2V5cjLO+HlP2pD2uq2my9cvM3A7G8RPAYPDW9J3YUsFJnzyPcdw4Up58EjG4f8Wve3sNs55ZxgXvb6bs9As5ojKPpO0bu7zXpKHuXvaGEl1HV9M03/iaRHcCPRrnUkr9qJQSpdREpVS25/GVUqpWKXWCUirT82ed53yllLpJKTXCk6TXdHqv15VSIz2PN3oSh+abjWXu/7zjUyJJiTIxNMbE0vxqYNeWY3vtifZjEg0whxGSmUnr+vXYKyq45IvnsIaEMeSF5zGY3MO1SilWFNSRHGmktKGVu2UstWHR8OJzKNeuIetxKREEGHQxek3TfOdrEi0AlojI3SJyW8fDn4FpfWtjqYVwYyBDY9yJ5+RxSfy4rQZLq91dZMFs7lJkAcDpUtQ124jvx3ui4F4v2rp+PTt/eyPBtjYemn4NgfHx3uPVTe1Y2x1ceVQ64cZAqtvBdtUNtOfl0fjvf3vPCw0OZFRiODn6vqimaT7yNYnuwH0/NBgI7/TQBrGS3/+eiocfQdlsbCy1MD4l0lt84NQJydidikWbKmnNWY9p4kTv0GiH+hYbLkW/9kTBU3ShqYn2LVvIv+4u8s1JNHVaqrKt2r359riUSC6fPoxjMuOYecMlGMePp+rZv+Bqa/Oemz00kvU7G+ir9dOapg1uvu4n+pC/A9H6lm3HDpq+/gaA1q1bKUk6k3OPG+c9nj00itQoE+8t3czY/HzCb7hhj/eotfZfyb/Owo48AjGZSPzDnWzJ+hV8kENVY7u3gtH2jmLz8WEcnRnnvS7hD3ey4/IrqPvnW8Rdfx0Ah6fH8N6qnVz40gr+eO4ERsTr/RU0Tds7X2fnxovIn0XkKxFZ3PHwd3Ca/1g962jjb7uNtpz1PLn4L2SrXfcCRYQ7ThoFebngcvHgdgO5ZV2HOfuz5F9nQampjF69iug5c0gId8dS1bSrd1lQbSU0OICkiK6zccOmTcN8wgnUvvwyjtpaAM7OTuWhM8exrdrKhS8tZ2tlU9/9IJqmDTq+Due+A2wGhgMPAUW4Z8pqg5R1yRKCR44g7rrfsP2eJzE52hn+wC1Yf/zJe845k4fw2Cj3sObm6DSufGM1FZZdyanam0T7tycKIIHuQZUET7m/zstUtlc3kxEfhsGw50LyhNtvx9XWRs3zzwNgMAhXHJXOh9dPx6XgyW+39EH0mqYNVr4m0Vil1GuAXSm1VCl1Ne6i8tog5LRaaV69hvBjjwXgZ/NQ7p71e4JTUth5/fXUvfOO91zTtjyCR47ghRuOpbqpnU/WlXiPeYdz+3gbtH2JD3f3NqsaOyXRKisZcd0Py4ZkuAsw1H/wIe0FBd72kQlmZo9JZFVhHS6Xvj+qaVr3fE2iHcVoy0XkNBGZjLtykDYINf/4E9jtmD1JtNzSSlBqKunvvov5mGOofORR94Qju522HHeRhdFJ4WQmmFlZsGuJbo21nUCDEDmACrZHGAMJCTR4h3NbbU7KLK37vLcZN/cmDEYjVU893aV92vAYLK128qv0kK6mad3zNYk+KiKRwO3AHcCrwO/9FpXmV9YlSwiIjPSu+6xsbCMxIoQAcxhDnv87MVdfTf2771J08SU4LRZCPecdkRHDmqI6bznA6qZ2Ys3B3Q6T9hcRISEihCrPcG5+ZRNKwajEvSfRwJgYYq+/HuvixbRuzPW2TxseA8DqQl3bQ9O07vmURJVSC5RSFqXURqXUcUqpKUqpL/wdnNb7lNOJddkywmbM8N5HrGxsJ9EzDCoBAST+4U6SH32Etrw8YFeRhSOGx9Jsc5Jb1ghAaUMrqbvVnx0IEsKN3uHcTeXuWMelRO7zmugLzgeDAevi77xtQ6JNJEcaWamTqKZpe+Hr7NxRIvKdiGz0vJ4oIvf5NzTNH1o3bMBZV4f52JmAu5pPVVMbCbvNXI067zyGvfkGcbfcTHBGBgBHeHpma4rrASipb2VIdGgfRu+btJhQNlc0YnO42FTWSHhIIEOi953sA6KiMGVnY126zNsmIhyeHsOqwjq9blTTtG75Opz7CnA3nnujSqkNwEX+CkrzH+uSpRAQgPmYYwCob7FjdyrvJtadhU6dSvyNN3qLLCREGIkzB7OlohGnS1HW0Lrf5NQfzspOob7FzsJNlWwqb2RMcoRPQ87mGTNoy83FUV3tbZs2PIaqpnaKa1v8GbKmaYOUr0k0VCm1arc2vXvxIGRdsoTQKVMIiIgA3PdDARJ364nuTWZCOPmVViob23C41IDsiR6TGU9qlIl3VhaTV97I2JQIn64zz5wBgPWHH71tHb3vVUV6SFfTtD35mkRrRGQEns2wReQ8oNxvUWl+YS8tpX3LFu+sXOicRH1bpjI6KZytlU3srHP3zAZiTzTAIMyZNpT/bq+lxeZkbLJvSTQkK4vA+Hisy3YN6Y5MMBMdGsQqfV9U07Ru+FT2D7gJeBnIEpFSoBC41G9RaX7RtHQpQJck2jEBJyHcx55ooplmm9ObVAZiEgX4zYwMrO1OPl1XwpEZsT5dIyKEzZxB0zffoux2JCioy31RTdO03fk6O7dAKTULiAeylFJHK6WK/BqZ1uusS5YQPGwYIRnDvW0dPdEEX3uiie59B77bXAVAygCcnQsQEhjAXadksfKeWaTF+j7kbJ45E5fVSsu6dd627LQodtS10NRm38eVmqYdinzqiYpIFHA5kA4Eduz0oZS6xW+Rab3K1dJCy4qVRM+Z06W9sqmN6NAgQgIDfHqfTE8SzdnZQEJ4CMYg364bLMKmT4egIJqXLSNs2jQAhseGAVBc28L41H0vldE07dDi6z3Rr3An0F+AtZ0e2iDRvHw5ymbDfNyxXdorG9t9HsoFiDQFceakFACGxgy8SUX/qwCzmdApU7osdRnWKYlqmqZ15us9UaNSSm/CPYhZlyzBYDYTethhXdoLqq1k9HC7r79elM1pE5O9O6YcbMwzZlD15JPYy8oISklhmGc4uKi2uZ8j0zRtoPG1J/q2iPxGRJJFJKbj4dfItF6jXC6sS5YSdszRSPCuHVfa7E6KalvISurZ/uoiwknjkpicFt3boQ4I3qUuy34AICwkkPjwEIp1EtU0bTe+JlEb8GdgObuGctf4Kyitd7XlbsJRXe3dtaXDtiorTpdidA+T6MEuOCODoNRUrJ7ZzADDYkIp6ufhXKUUT3y9mTxPKUNN0/qfr8O5twEjlVI1/gxG8w/rkiVgMBA2Y0aX9nzPhtM97Yke7EQE88yZNHz6Ka72dgwhIQyLDeOnbf3769/QYucfS7ejUIzxce2rpmn+5WtPNBfQsyoGKeuSJZiyswmM7jr8uqWiieBAA+meiTPaLuaZM1CtrbSsdg+4pMeGUtHYRqvN2W8x1be492/tKHShaVr/8zWJOoEcEXlJRJ7reOzrAhF5XUSqOorWe9oeFJFSEcnxPE7tdOxuEdkmIltE5KRO7Sd72raJyF09/QEPdfbKKtpyc7sUWOiwuaKJkfGMBxL3AAAgAElEQVRmAgN8/TU4dIROm4aEhGBd5h7SHRbn/qKxox8TWEcS7c8YNE3rytd/PT8DHgP+i+9LXN4ETu6m/VmlVLbn8RWAiIzFXdB+nOeaF0QkQEQCgOeBU4CxwBzPuZqPrEuXAHh3bemglGJzRaMeyt0Lg8lE6BHTaPYsdRkR706iWyr7b4Pu+mZ3sYcdeqmNpg0YPt0TVUr9s6dvrJRaJiLpPp5+FvC+UqodKBSRbcA0z7FtSqkCABF533Pupp7Gc6iyLllKUEoKIZmZXdq/2VhBZWM7R47wrSTeocg8YyaVjz6KraiIzCFpBAcY2Fhq8a6T7Wt1np5oY5sDS4udyNCgfolD07Rd+mMcb66IbPAM93bcpEsFdnY6p8TTtrf2PYjIdSKyRkTWVHfayupQtXx7LY/M/5nm//4X83HH0VFlCtxLWx7/Oo/RieH8enK3f50anZe6LCM40MCY5HB+KbH0WzwNniQKUFynl9to2kDQ10n0RWAEkI17F5inPe3dbfao9tG+Z6NSLyulpiqlpsbHx/dGrIPW28uLmPPKCjb8ezGqrW2P+6GL8irZWdfK3adm6fuh+xA8dCjBGRne6kUThkSysdSCy9U/G3TXNe+q3avvi2rawLDff0E99yb/3BsfppSqVEo5lVIu3Bt9dwzZlgBDO506BCjbR7u2Fw6nixeXbGfqsGhmWbZiCwohdNrhXc5ZvLmKqNAgjsk8tL9s+MI8YwYtq1bhamlhQmokTe0OivspgTW02DCHuO/A6CSqaQPDfpOoUsoJTJHO44EHSESSO708B+iYufsFcJGIhIjIcCATWAWsBjJFZLiIBOOefPTF/xrHwezb3ErKLG1cd8xwDi/fxNq4TCyOXf/pXC7F0i3VzBwVT4Dhf/5PetAzz5yBsttpXrGSCalRAKwtru+XWOqabaRGmYgNC9bLXDRtgPC12MI64HMR+Qjw3oxRSn2ytwtE5D3gWCBOREqAB4BjRSQb95BsEXC9531yReRD3BOGHMBNnuSNiMwFvgUCgNeVUrk9+QEPNW/8VMiIiECm5q+gsqGGFcOPx7ypkgsOd3foN5RaqG22cXxWQj9HOjiYpkzBEBqKddlSRh97LOmxoby9vIhzD0ulF75X9khDi52o0CBMwQG6GL6mDRC+JtEYoBY4vlObAvaaRJVSc7ppfm0f5z+GexnN7u1f4d5FRtsHp8VC3qdfc9KHnzC9Np9KWzuByUnsyDqMb3IrvEl0tWdz6V+NjOvPcAcNQ3AwoUdNx7p0GUkC1x6TwX2fbWT59lqO6uO/w7oWG5kJZoxBAawsqO3Tz9Y0rXu+LnG5yt+BaD1nr6yi6btFWBd9R/OqVQQ4HIwxRRJx9tnEnDSbsGnTOPrbrby1vJimNjvhxiA2lllIjjQSZz44d2DxB/PMmVgXfUf71q2cN2UEL3y/jfu/yOXLW472eR/W3tDQYiMqNJikCCOfriulze486PZz1bTBxtdNuUfhnlmbqJQaLyITgTOVUo/6NTqtW0opyu++B8tnnwEQnJ6O67w53FERzfRTjuH+s8Z7zz1lQhKv/ljI4s1VnJWdSm5ZI+NS9MbSPWH21BxuXraM2FGjeOzXE7jqjdX8Y0kBt87K3M/VvUMpRX2LnZiwIIZ7Cj8U1TaTlaRr6A5UdrudkpIS2tra+jsUny1cuHDC+vXri/o7jgHEBWx0OBzXTpkypaq7E3wdzn0FuBN4CUAptUFE3gV0Eu0HTV9/jeWzz4i66EJiLr0UV1o6v35xObVB7dx64ugu504eGk1iRAjvrNjB8VkJbK+2ctqE5L28s9adoMREQrKysC5dRuy113Lc6AQOT49mSX5VnyXRxjYHTpciOjSYDE8JwsJqnUQHspKSEsLDw0lPT+/z++cHyul0OsaPH683GvFwuVxSXV09tqKi4lXgzO7O8XWRYKhSatVubY7/KTrtgDgtFioe/yPG8eNJmjePgrAELn99FZsrGnnsnAlEmrpWsTEYhNtmj2JVUR23vLcOpWB8qu6J9pR5xgxafv4ZZ5O77N+IeHOfzpDtKLQQHRpMekcS7WZ/U6X6Zw2rtqe2tjZiY2MHTQLV9mQwGFR8fLwFGL/Xc3x8rxoRGYGn0IGInIe7WILWx6qeeRZnXR1tt/yBS99YzSl//YHcskb+Nmcys8cmdnvNBVOHcuHUoXy/xV3JaXyq7r30lHnmDHA6af7pvwCkxYZSY7Vhbe+b75KVje0AxIWHYPZsEl5YvWcS/cuirUx9dCHz15b0SVzavukEOvgZDAbFPnKlr8O5NwEvA1kiUgoUApf87+FpPdHy8880fPAB0VdewTU5bZRb2vi/k7O4eFraPuuoighPnDuBK3+VTnVTO8mRpj6M+uBgmjQJQ2Qkjd9+Q8TJJ5EWEwq4i8GPTfH/l5KiGnfCTI91f+7wuDCKuumJLt9eS43Vxu0frWdqejTD9DZ3muZXvvZElVJqFhAPZCmlju7BtVovUDYbFQ88QGBKMjvPupTcskbuOHE0vz12hE+FyEWEMckRzBilqxQdCAkMJPrCC2n6+huaV6xgWMyurdHqm23c+dH6LrVte1tRbTOBBiE1yv0FaHhsGAW79USVUuRXNXk37M6vtPotHm1wMJvN/R0Cb7/9dtTatWuN/R2Hv/iaCOcDKKWalVIde0F97J+QtO7UvvEm7Vu3kTRvHm+uqyLSFMTZk/tnN5FDVdyNvyVoWBrl8+5nSKh7mG5HXTOf5ZTy0doSvsvrdvJeryiqbWZoTKi31nFabCi1zbYum4TXWG00tNi9w/odvVdN60+fffZZ1IYNG3o0/GW32/d/0gCxz+FcEcnCvcdnpIj8utOhCOCg/WYx0Nh27KDmhRcIP+kkmH40Cx9dxMXT0ggN9nU0XusNBqOR5IcfYccVV2B77SUiTZMorm3xVg/6eUc9504Z4pfPLqxp8Q7lAqREuf/3K7O0MiLe3dvYWuX+fnt4ejRRoUHdTjzS+sdD/85lU1ljr77n2JQIHjhjXI+vu/LKKzn99NM577zzAHdv1Wq18umnn/LEE08Yly9fzs6dO4Nmzpw5etmyZZs/++yzyC+++CLK5XLJli1bTDfddFOFzWYzfPDBB7HBwcGu//znP1sTExOdubm5ITfccENaXV1doNFodL366qvFNTU1AYsWLYpasWJF+J/+9Kfk+fPnbwfY/bzJkye3nXvuuenR0dGOX375JXTixIktr7zyyqC4sb+/f4VHA6cDUcAZndqbgN/4KyhtF6UUFQ8+hAQGknjPPXy1uQqbw8XpE/Uylf4QdsQ0os4/n7o33uSo8+5hU3kYG0vd26Ot29Hgl89USlFc28yRGTHethTPfe2yhk5J1DN8OyoxnPTYMN0T1XrknHPO4ZVXXlFPPPFE/MKFCyPvvvvusrS0NAdAfn6+af369ZtaW1sNo0ePHj9v3rzSvLy8Tddcc83Ql156Kfb++++vuvbaa4e9/PLLxRMmTGhfvHhx2G9/+9u0FStW5M+aNavh9NNPt1x11VX1ANOnTx/V3XkA27dvN/7000/5gYGDp4Owz0iVUp/jrpk7XSm1vI9i0jppXLCA5v/+l8R59xGUmMCCb9eQFGHksLTo/V+s+UXCnXdgXbKEi5e+zZVH3IjTEMCRGTGsKqyjxebo9RGC6qZ2WmxO0jtNEkqJ2pVEO2ytaiLcGEhCeAjD48L2Wxrwue+2sqOuhZPHJTFrLzO7td5xID3G/nDvvfe2n3POOcmTJ09uvv766+s62o866qim6OhoV3R0tMtsNjvPP//8BoAJEya0bNiwIdRisRjWrVtnPv/880d0XGOz2faYmry/837961/XD6YECr7Pzq0Vke/QFYv6lLOhgco/PoFx0kSiL7qIWms7S7dUc+mRwzDoHVj6TUBEBIn3z8Nx8y08ZlvPD4efxtmTU1lRUMeGEgtHZsT26ucVeYaLO9aHAiRFGhGB0oZd1XDyK62MSgxHREiPDePTdaW02pyYgvcsDWhtd/DMwnwAfthazfFZCfp36hARGBiIy+UC3KMcNtuuCXGVlZViMBioqakJdDqdBAS4f3eCg4O9C5ANBgNGo1F1PHc4HOJ0OgkPD3ds3rx5074+e3/nmc1m1//8A/YxXycWvQLcDdjBXbEI97Zkmh9VPf00TouF5IcfRgIC+HBNCTaniznThu7/Ys2vImbPJvzEE8le/DHPHBXN1GHukYE1RXX7ubLnij33NtNiQmleuYriSy+j/q9/JdUklHfqiRbVNHurGaXHue+fFtd1P6Tbscb01AlJVDa2s3ZH/2zvpvW99PR01q5dC8Dnn3/uncTjcDiYN29eyJtvvlmQmZnZ9tBDD/k8PBETE+MaMmSI7fXXX48GcLlcLF++3ARgNpudjY2Nhv2dN1jpikUDVMuaNTR89DGxV12JcfRonC7Fu6uKOWJ4DJmJ4f0dngYkzbsPMRqpmHc/UaZARieGs7JwVxJ1uVSv7D1aYWkjrqWBgEfuZccVV9C+fTu1L7/MH796ksCNOQA4XYraZhuJEe4JR5kJ7t+RLRVN3b5nQY37/um1x2QQHGjgyw26dsrBqKWlhSFDhngfzzzzDL/5zW9YunQp06ZNY+XKlYSFub94Pf7440yePNl18sknW1988cWdb7/9dtzPP//s8wTS9957r+CNN96IGz169NjMzMxx8+fPjwK45JJL6p577rmkMWPGjM3NzQ3Z23mDla/DubpiUR9y2WyU3/8AQampxN14IwD/Xl/GzrpW7j11TD9Hp3UIjI8n8Q93Un7fPBo+/IgjMsbx8doS7E4XQQEGvvylnJvfW8f71x15wEO8rvZ2Yj97l1cWf0JLoBA3dy6x11xNa04Oltvu4vIPnqBcCgm44WacLkV8uHt3nsxEM8YgA+t3WjgrO3WP991e3YxBYFxKBMeOiufb3AoePHPP+3ZtdidVje2kdZoZrA0eHcO2u1uxYoX3+R//+EcA7r//fjZu3GgDiI6OdhUWFuYCHHbYYW24t8IEoLS09JeO57fcckttx7GsrCzbDz/8sHX3zzrxxBObt2/f3mUf6O7Omz9/fpHvP9nA4WtP9Cbcxec7Khb9Dvit36I6hLna2ii5aS62ggKSHnwAQ2goTpfiue+2kpUUzoljk/o7RK2TyHPPJfTII6l66immRzppsTn5fnMVhTXNrCx0/7uzYENZj99XKUXTd99RcNrpTF74PvnDxjPiqy+Jn3sTBpOJsOnTWfqHv/B55kwaPvyI2vPO4YjyXO8Wd0EBBsalRLKhpPsZwwXVVoZEhxISGMDU9GjKLW3UN+9ZLOLFJds56S/LuqxH1TRtF5+SqFKqYPeKRUqpIr9GdghyWpvZfs1vaP7xR5IffQTzMccA7l5oQU0zv5uVqSd/DDAiQvJDD6LsdjLf+wcoxXVvr+Xs53/ip23uJPrNxkqcLt8Lw7cXFLDzN9dRctNcxBjCC6f/joUX/p6g1K49yoSEKP4x7gyi33gLhzmcB1e+wdC/P4aj1v25k4ZEsbHMgsO5Z2+koLqZDM+Wah1Dv9uq96xw9NO2GlrtTvIqeneNo6YdLHzdTzQKuBxIBwI7iiorpW7xW2SHGKfFwqoLryC8eCt/nnIxU6MncTPoXuggEDxsGPG33EzVn5/iylOzWJE2mc0VTVha7WQlhbO5oolVhXVMH7H/Id2mxYspueVWDCYTiffcTfScOSx7/HvOitrz1lRHCcCKlBEUPvJ3Vj7+HFcs/46CU08j5pprmGFxUpG/k/xXK0mO8gzHCigFw1fnMezk4wEYmbBrnenh6bvWorbZnaz39GRzSy16WZWmdcPXe6JfASuAX3BvUqr1IkddHZsuuYKwHYV8fd6thGVN4emF+aREmahvsVFQ08w/Lj1M90IHsJgrrqDxy6+4eOVHzHvwKua8m8uqojpumz2Km979mSX5VftNosrhoOpPTxIyPJ20N98kMDaWFpsDS6udpMg9k2jHkpfi2mZqWhXvj57FnY/dQNOjD1P9zDMkAjcDrIeK3a6dC7hy5lO+5Wzir74aU1CAt+JRh5ydDdid7h70xlLdE9W07viaRI1Kqdv8Gskhyl5ZxY6rrkLt2MlrJ9/Ik/dfgwg0tKzm9o/WE2AQZo9N5KRxuhc6kElgIEkPP0zReedR+8qr/OHcK3l2UT7HZMaTPTSKFdv3XfgAwLJgAbbiYob8/W8ExroTbrnFvQ40pZuddzp2kimqaaHZ5iAk0EDMmFHEvPMvnLW1KJeL7/KqeOrbLQyJNvLK5VNBKX7cWs2D763kOVMBls8/p2H+fO7PmMKa0DPAUxTgp201vPFTISIwMTWS3HKL93N31LaworCWKcOivdWSNO1Q5evEordF5DcikiwiMR0Pv0Z2CLCVlFJ86aW0lZVz3/RrOfHKszEGBRASGMDrVx7OWdkpjE+J4JkLJul9CQcB0/hxRJxxBnVvvcUkk513rj0SU3AA0zNi+aXUQmPb3otqK4eDmhdeJGTsGMwnnOBtL/cUU+iuJ2oMCiAl0ujuiTa1E2cOQUQQEQLj4ghKSODkmeM5/6RsltRCSYCZoKQk1rWFsDMymZGPP8zI7xYRe/VVjN25kWv/eT87rr8e6+o13PzeOhblVZE9NIrpI+LYUtGEzeEehHp64Rb+8PEGTnvuB9odesKRdmjzNYnagD8Dy4G1nseafV0gIq+LSJWIbOzUFiMiC0Vkq+fPaE+7iMhzIrJNRDaIyGGdrrnCc/5WEbmipz/gQNVeWEjxZZfhtFh49azbqM8cz8mdepvGoAD+etFkPp97NOHG/W91pg0M8bfeAi4X1X/7m7ftyBGxuBSsLtx7IQbL519g37GD+Llzu3xhKre4iyl01xMFGBYbRmFtM9XWduI8y1t2d87kVAyCd6PuDSUNjEwwExYSSGB8PAl33MHKx1/nn2NOpnX9L+y87DLu+uZZ/jIG/nXNEYxPjcDuVORXuod7t1W5JyC12V3srGvpwd+O1tf0Vmj+52sSvQ0YqZRKV0oN9zwy9nPNm8DJu7XdBXynlMoEvvO8BjgFyPQ8rgNeBHfSBR4AjgCmAQ90JN7BrH3rVoovuxzV3o7p+Zf5tD2aOdPSvNtcaYNX8JAhRF88B8snn9K+bRsAh6VFExxoYNFetkpTdjs1L76Icdw4zMcd1+VYmacnmhDRfYJMjwujuLaF6qZ24s3dn5MQYeS40Qm8vaKYGms7G0osTBzSdX37lPHDeH/0LPKe/Se/nHMNSS11ZD17H0GVZWQlufcn3VLRhMulKKhu9lZo2n1PU03b3SG9FVonuUCPvnIqpZaJSPpuzWcBx3qe/xNYAvyfp/0tpZQCVohIlIgke85dqJSqAxCRhbgT83s9iWWgKbvvPhAY9vZb/KvcnThPGa/veR4sYm+4gYb5n1D1zLMMfeF5jEEBnD9lCO+t2sH5U4fsMcvV8vnn2EtKSLzv3j2G7QtqrKRGmTAG7Vn/FiA9NpS6ZhvWdgeT0/Ze+OXuU7M45a8/cOO/fqau2cakIZFdjk8eGkVypJEF+Q0UxR/OyMvH8ft37qf8/gdIe/VVAg3C9morFY1ttNqdnDAmkTXF9RTqnWJ8UvH447Tnbe7V9wwZk0XSPff0+LrBuBXac889F3ugMUyePLnt3XffjXziiSeS7Xa7ITo62vHBBx8UDB061HHbbbel7Ny5M7i4uDikrKws+IYbbqi87777erQxsK9dHyeQIyIveYZdnxOR53ryQR6JSqlyAM+fCZ72VGBnp/NKPG17ax+0bDt20LZ+A7FXXknIiBF8s7GcrKRwMvQEjYNGYHQ0sddei3XxYlo8NUrvOiWL5EgTD/+7a91tZbNR8+I/ME6ciHnmzD3ea2ullczEvf9uDPPs7GJzuEgI3/uI2ciEcP7v5CxWF7uHlHfviRoMwinjk1mUV8W2KiszfzWOhDtup2XFClo+/5z0uDC2VVm9Pc9JQyOJMwfrJHoQOeecc4iNjVVPPPFE/JVXXjls963Q5s+fX7B69eq8P/7xj6mhoaGuvLy8TVOnTm1+6aWXYgGuvfbaYS+88MKO3NzcvD//+c8lv/3tb9Nmz57dPGvWrIZHH320ZPPmzZvGjRvX3t15HTF0bIXW3V6iBxoDwOzZs605OTmb8/LyNp133nl1Dz/8sLfXsm3bNuPSpUvzV69enffUU0+ltLe392gCiq890c88D3/pLmi1j/Y930DkOtxDwaSlpXV3yoDQ+OWXAESccgqVjW2sKa7n97NG9XNUWm+LueJy6t99l6on/8yw998j3BjEmdkpvLKsAJvDRXCg+/trw6efYS8tJemB+/fohTpdiu3VVo7ax9KYrCR3oYSUSCOXHLHv3/trj8kge2gUy7fXMj41co/jFx8xlJ931HPpkcM497BUmHoBlgULqHzySSZe+Rg51VZvzd2R8WaGx4VRoJOoTw6kx9gfBvJWaP9LDIWFhcFnn332kOrq6iCbzWYYOnRoe8c5J554YoPJZFImk8kRExNjLykpCRwxYoTP48m+JtGvlVJdurgiMtrXD+mkUkSSlVLlnuHajvcsATpvTTIEKPO0H7tb+5Lu3lgp9TLwMsDUqVN9Lw/Th5RSWL78EtOUKQSlpPDt8iKUcu+koR1cDCYTcTfPpWLe/TQtWkTE7NlkJYXj8CTGMckR7l7oS//AOGkiYZ7qVJ2V1rfS7nDtsyeaHhfG0juPJTXK5NM99anpMUxN735i/ciEcD676Ve7GkRIfvgRCs86i9OWvcfnw3/N5oomzCGBxHv2LP1+S/X+/zK0AWWwboX2v8Qwd+7ctFtvvbXikksusSxYsCD84YcfTuk4FhIS4n3fgIAAHA5Hj3qivg7n/iAiF3S8EJHbgU978kEeXwAdM2yvAD7v1H65Z5bukYDFM9z7LXCiiER7JhSd6GkblNrz87Ft207EaacC8NUv5WQmmBmZoHdlORhFnXMOwRkZVD/zLMrhYEyye4LOZk8JvYZPPsFRVk78zbd0u4RpW7V7NmxHRaG9GRYb5rdJaSEZw4m76UZS1v3E1NKNfL+5ioz4MESE4XFmqpvaadrH0h1t4DlYt0Lb13s3NTUFpKWl2QHefPPNXt3w19f/844FLhORj0RkGTAK92zZvRKR93AviRktIiUicg3wBDBbRLYCsz2vwV0RqQDYhnvv0hsBPBOKHgFWex4Pd0wyGowaF3wJAQFEnHwyNdZ2VhXWccqE5P4OS/MTCQwk4fbbsBUW0vDxfIbHhREcYGBzRRMum42af7yEafJkwn51VLfXb63sGDrt3y9ZsVdfjRo+grnrP8FS08AYz2zd4Z6KSUU1epnLQHWobYW2t/e+9957y+bMmTNiypQpo2NjY3t1G09xT4j14USRm3BvzO0C5iilfurNQHrT1KlT1Zo1+1zG2ueUUmyfNZvg4cNJe/UVPlqzkzs/3sCCm4/u9v6UdnBQSlF8yaXYdu5g5Lffcvora7G02jmz8CfOXPouhqf/zpBZMwkL2fPOyp0frWdJfjWr753VD5F3Vb92HWWXXMK67OM45dVniDWHkF/ZxInPLuOvF2V3u93aoS4vL48xYwbX1oUbN25sGT9+fF5/xzHQrF+/Pm7SpEnp3R3zqSfqWVpyBDAeOBV4VkSe6rUIDwGtOTnYS0uJOO00AL7fUkViRAjjUiL6OTLNn0SEhDvuwFldQ90//0lWcjhVtY0ctXIB25NHctKyVp5bvMfWilQ2tvHNxgqmDJCi79FTJhN16aVMyVmMKd+9NWRaTCgi6Bm62iHN1+Hc55VSlyulGpRSG4GjAMv+LtJ2afzyKyQ4mPDZs7A7XfyQX8NxoxN0Ob9DQOhhkzHPOoHaV1/j9KEm5rZsJK6tkZczZoEIxd0Mhz68YBPtThf/d0pWP0TcveTf30pQSgrl983DZbNhDAogNco0oJOoUor1O7vfU1XTeoOv+4l+tttrh1LqEf+EdPBRDgeN33yDeeZMAsxm1hbX09Tu4NjRCfu/WDsoJNx2G67WVsZ89Q6nbvgPpsMP5/xrzyI50rhHTd3cMgtfbijnhpkjvPcdBwJDWBhJDz2EraCA2n/8A3DfFx3ISfSVHwo46/mfWFmw/w0A/MHX22XawOVyuYR97F7m63Buk4g0eh5tIuIUEd0T9VHLqlU4a2p2DeVuriIoQDg6M66fI9P6SkhGBlHnnkvDRx/hqK4m/ua5XDY9ncOGRXt3aunw3HdbCTcGcs3Rw/sp2r0zH3M0kWedSc3Lr9C2JZ+MuDAKq5sHbLJ4d+UOAJraenUuiU+MRiO1tbUD9u9G2z+XyyXV1dWRwMa9nePTOlGlVJfpgSJyNvuZnavtYvnySwxhYZiPdVek+X5LFdOGx2DuZjKJdvCKmzsXy4IFmCZOJGya+3+f5Agj3+VVopRCRCiqaebb3EpuOSGTSNPA3Hgg4a67sC77gfL75zF87mM0tTuosdqIDw9hZ10Lby0voqyhjb9elN2v9aDtThdFte6h8mZb3yfRIUOGUFJSQnX14FlLW1FREeh0OvW3+11cwEaHw3Ht3k44oH/FlVKfichd+z9Tc9lsNP1nIeGzTsBgNFJS30J+pZULpg7d/8XaQSUoMYH0998jMG7Xv1HJUSba7C4aWuxEhwXzybpSRGDOtIH7+xEYHU3iPfdQduedTHrzGUKiZ1FY08xby4t4/vttuDwdr+tmZDBpqO+rF+qabby0dDuT06I5aVwi1/xzDUOjTTx01vgDinNVp11zGlv7fi1rUFAQw4cPvNGEfRk7duwvSqmp/R3HYOJTEhWRX3d6aQCmspfye1pXzT/8gKupqdOsXPe30uOy9P3QQ5FxdNdCX8mefULLLW1EhQbx6boSfjUijuS9bH02UEScfhqOqiqqnn6aZ82b+X5sJK9sa2fWmERuPj6TM/7+I8sLaveZRJXNRktODqGHHRqFw38AACAASURBVIYEBvKXRfm8tbwYgEuOSGPx5irizME8eOa4A5qAt7qoUxLth+Fc7dDga0/0jE7PHUARcGavR3MQavzySwKiogibPh2AJZurSIsJJWMATRjR+k9HEq1obKWu2cbOulZ+d8LAr6UsIsReczUhWaNpvelW4p69kxWHX8Zdv59BRryZkQlmlm+v5Yb/b++8w6Oq0gf8fkkmlRRCQgIE6R0UIdIUFFFA3BUL6i66dlAUFbH8bGtbYSl2EUXXgroWENfVFRHFslYgsAiiotSQENNIr5PM+f1xb0IIoYVk5ib53ue5T+ae3Dv3zeTOfHPad07tVuf5hV9+Sfrf51C+cydp8V0wt93NW2sKuCgxgZScEv5p92VmFZazLbPosFmb6mJnVhEdokLIKizzSU1UaRkc6ejcK2tsU4wxs4BLGtmtyeMpKqLgs88JHz8OcbkodVfyzbYsTu+tU1sUi6oa5/+Sc7llyQYSWocwvgkti9fq5JPxPPsyWSFRPPzdC0S+vwRjDMO6RpO0cy/uyv0HNZbt2EHytdey+9rrqDSGl/tNIDgnk7a3X8tffl7BTaM6M/307gD0sAPn9/UcWbsju5jOMaFEhLgOGAGtKA3FsfT6z2wwi2ZKwWefY0pLibSbcr/fnk2p28NpvWJ9bKY4hdjwIPz9hKc/20pxWQUvXn5SndmLnEzi8AFkzF6A36jRZMyfz57bbufkhFYUlVeyblcOAJWFhaTPm8/2cyZSkrSOtnfcwc65L7Ckx+nkLXyNytPHMumnlZRddQkD81O4Y3wvHr94IPERwazeUb9MnzuziujcJoyI4ADyS7Q5V2kcjiWIalXqMOR/+CEB8fGEDB4MwBdbMgl2+TGsa4PmP1aaMP5+QqU9EufOCX3oFd80FyO44oy+9H5uAbEzZ5K/fDk9/jaThLJcPt60h9xly/j1zHFkv/wyFaePY/6ls6ic9Ge+Tc4n2OXH6UN7MPCZx+n4/CI8RcXsmjyZC757h76tXQztGs1Xv2WyK7uIjSm5lFccdLrefuQWl5NX4qZLTJjWRJVG5Vi+8urAokNQmZtL4TffEH3ppYifH8YYPvslg5O7xRDs8ve1nuIgjk+I5Kc9+Uwe4tx1cI8EESFm6hSCe/ci9bbbeSr5CdLXRJOWncyWNp15aczleLr34cfUfII++Imf0/I5qXM0QQHW+6HVqFF0/eADMh97jL2LF1OwahVTZ/wfXxgY/cgXeAz89Q99q+fPGmNwV5rqtVlrUpUAolObMCKCXeQWlx9wjC/weAzllR79DGhGHDKIikgBdQdLAZw9fNDH5K9cCW539ajc7VlFJO8tZsqorj42U5zGW1OHAVattDnQatQouixdwuarr6NV1l7mJU4mbfAotmcVU56aT7fYMD7clAbA9aO773euf6sw4u/7KxETziLtnnvxu+1G3urZm12eIFI8gQSmRrN7fQ9KQsP5YGcRq7M9JA7rx7eFLh6/eOC+lWWyrSDaxe4TTd7rjJVm5q/cwrNfbGPtPWcQGx7kax2lAThkEK2dZEE5cvI/XE5gp04E9+sLWFmKAEZrf6hSi9DAptUHeiQEdupEp2XLGP3oFwzqEsOyyYN47ftd/Gt9Km9NHcYba5I5tWfsQVcwCk1MpMu/3yP7Hy9SsmEDvXJyiE7dQ0DyRgrXWksKT7C3ys+F9UMv5z+923LjmB6AtTybCHSMDrX7RJ3RnPuFPcXtlrc38OpVQ/BrJl+cWjLN793rANzpGRSvWUPMtGnVo3BX/ZxBz7hWJLQO9bGdoniH6MhQvrlnLGGB/ogI153ajWtHdUVEuKFWDbQu/IKDiZ1+Q/X++nUp3Lr0B1yVbib3jmRsQjAnREDa/Ef5v/Vv8krv7lAVRLOLaB8ZQlCAf3WfaFVWKF/SsXUIP6fl8/XWLLZn1W/qjuIsfJeTqxlTsOIjMIaIP1hNuSk5xXy/I5uz+usC3ErLolVQwH6B61iC2JAu0QAEh4Zwx6UjOXnccFoNH07nhQsgOISJ7zxOUZY1kndnVlF1025EsAt3paHUfWSDkhqTEndl9eO9Rc7op1WODQ2ijUDeh8sJ6tOHoK5W/+eSpBQALjrJuancFMXpJLQOoV/7CC4f0Xm/aUCu+HgK7n6YmOJctt04A4/bzY6sIjrHWK0+4cHWsU4YoVvqriTC9nHKYCfl2NAg2sCUbd1K6caNRJ49AbBG4y1N2s3IHrF0iNKxWIpSX0SED28aya1jD8zoNPCsUSw88QJc/1vL7jnzyS+toHMbuyZqJ/IvcEAQLXFXVifYyHVIP61ybGgQbWAyn3oav9BQIs+30g0n7cohLa+UCwZ18LGZojQP6moSjgh24frjuXzYfSTF/3yNMclJ+4KoXfPLc0DChZLySuLtVI9aE20eaBBtQEo2baJg5Uqir7ySgGir/2b5pjQCA/wY0yfOx3aK0ryZPro7z/b9Az/H9+SmDe9wXMZOYF9NNK/E90Gr1O0hplUQAX5CbrHWRJsDGkQbkMzHH8e/dWuir7wCsJpyl29KY3SvWF07VFEamV7x4Zx9YkceOPES9gaHw3134M7IIKG11Xy6K3v/uaK+WCy7xF1JaKA/UaEubc5tJmgQbSCKvvuOom+/I+a6a/FvZQ1bT9qVQ0ZBGRMG6KhcRfEGD5zTj/ygMB4ceiWeggJSb7yJNoFCZIiL3zIKAVi2LoUhsz5l6OxVFJV5t4m3pLySkEB/IkNc5GlNtFngk+qRiOwECoBKoMIYkygi0cDbQGespdYuMsbkiNUB8iTWvOpi4ApjzHpfeB8MYwwZjz1OQLt2RP3pT9XlyzelEaRNuYriNaLDAvl4xigKy9y0/6UTqTffTPqDD9EjYQJb0wspKHXz0H9+IijAj4yCMtbtymFUT+8kQDHGUOKuJNjlT1RoIDnaJ9os8GVNdLQxZmCNVdTvBFYZY3oAq+x9gLOAHvY2FXjW66aHoeCTTyjdtInY6dPxC7JSeVU15Z6mTbmK4lV6xYczuFM0EePGEnP99eS9+y5/3P41WzMLef37ZPJK3Dzxp4H4+wlr6rlCTH0os5Pnh7j8aR3q0j7RZoKTmnMnAovtx4uBc2uUv2osvgeiRMQx7aOmooLMJ58isGtXIifuW6d89Y692pSrKD4mZvoNtDr9dE5a/ioddv3Mws+3MqpnLCO6xdC/Q6RXg2hJuZVoIcTlR2RIIBkFZYya9zn/3pDqNQel4fFVEDXAShFZJyJT7bI4Y0wagP2zrV3eAdhd49wUu2w/RGSqiCSJSFJmZmYjqu9P3r/fp3zbNmJn3IwE7KtxvrkmmYjgAMb1azoLLCtKc0P8/Gg/dw6V7RK4a+1rBOVmcce4XgAM7RLNht25XptqUpWtKMQeWJRVWEby3mI27M71yvWVxsFXQfRkY8wgrKbaG0Rk1CGOrStP2AHD6owxzxtjEo0xibGx3unj8JSVkfnMAoIHDCD8zDOry/cWlbPix985f1CCLnmkKD7GPzyc6MeeIKjSzSM/vknfGGue5vCubSiv9DD44U9ZvT270T2qgmiwy58oe9oNQEZ+WaNfW2k8fBJEjTF77J8ZwL+AIUB6VTOt/TPDPjwFqJkvLwHY4z3bg5P71ltU7Emj7cxb9psA/o+vtlNe6WHy0Ka9PqSiNBc6nNCH4lvvJS51G78/9BDGGE7tGcvLV5yEn8DnWxq/9Wpfc64/UWGB1eUZBaWNfm2l8fB6EBWRMBEJr3oMjAV+BN4HLrcPuxz4t/34feAysRgG5FU1+/qSysIisp5bRNiI4YQNH15d/vHm31n4xTbOH9SBnnG6kpyiOIWRV06izbTryFv2Lrlvv42fnzC6d1v6d4gkaWfj9o0aY3CvWkmr8mJCAwP2q4mma020SeOLmmgc8LWI/ACsAT40xqwA5gBnishvwJn2PsByYDuwFXgBuN77ygey95VXqMzJIfaWW6rLcorKuXPZRo5PiGT2eQN8aKcoSl3ETp9O2Kmj+H3WbIrX/w+AkzpHszElj9IaK6w0NHnvvkvw7PuYuul9QgL9aGen/uvfIYL0/FKfJH5QGgavB1FjzHZjzAn21s8YM8suzzbGjDHG9LB/7rXLjTHmBmNMN2PMAGNMkreda1Oxdy97X3qJ8LFjCRmwL1jO+3gL+aUVzL3geO0LVRQHIv7+dJg3D1e7dqTcfBPu9AwSO7WmvNLDptS8Q57rrvTst3zZzCUbeO37XYe9pjsjg/S58zABLk5PWU9wxh4Gd2rNf248hXMHdqCswkO+A/L6KvXDSVNcmgzZi57HU1pK7M03VZetT87hrbXJXDmiM33aRfjQTlGUQ+EfGUnCgqfxFBWTevPNDGpvZRg71HSX3XuLmbjgG0Y/8gXF5RXsyS3h3fWpPPnpr5RVHLoGmz5rNqa0lJR75lIhfgS8sRgRoX+HSOIirBppuvaLNlk0iB4l7j17yHnjDSLPO5egbt0AqKj08Nf3fiQuPJgZZx64TJOiKM4iuGdP2s+eRcmGDbiffITe8eF8WcfgImMM+Slp3D13KTvTc8krcfP1b1l89os17jGr0BqJfzAKPv2Ugo8/JuaGG8jp3o/lXYbjWfkR5cnJANVBVEfoNl00lc5R4E5LI3XmrQDE3nBDdflTn21l8558Fl4ySLMTKUoTIWL8eEqnbCb7hX8w9Zxg3kkXUvx+IiA9DXdKCmW7d1OekoqUl3E34O53Alf2uYRPf04nu7CcjtEh+Ivwwlfb+ePx7fHz2382XmV+Pr8/+BBBvXvT5qorKVmTwtIeozkvZQ1Zzy2i/exZtA23Mpyl52tNtKmin/hHSP7KlaT99T5wu2k/dw6u9u35Lb2Al77ZyVtrk5k0OEGzEylKEyN2xgxKN/9En/cX81egYDV4QsNICYpid3Brfu84lPRWbTijaxQ933uF2aWGu+QyCo0ffz6pIyd0jGLmkh94b0Mq5w9K2O+5M+Y/QkV2NgkLFyIuFyVuDznBEURceCF5b75JzLTraBtnfWZoc27TRYPoYfCUlJA+Zy65b79NcP/+tH9kPqsKgljy8hq+/DWT4AB/LhycwP1/7OdrVUVRjhLx9yfhmQUUfr+aaz7YTkFULMnuABKiw5gwoB2ndIwksXM0rYICyE3sBvfcy/XFr7D07GlMO607bcODeOXbncxbsYWz+rcjJNAaUFi0eg25S5cSfdVVhAzoD0BJeQUiEDvlGgqWLCFr0SLaP/ww4cEBpOdpEG2qaBA9BKVbfiX11pmUb91Gm2uuJv2CK7jko19J2pVDQusQrj+tG1ef0pXoGhOnFUVpWviFhBAx+jRuTOjHA+9vJsrt4dWrh1T3V1YRdcEFVBQWcfLf/84Zez4iLvw0xE+49+y+XLToO57/73ZuPqMHntJS0u77K67jjiP2xunV55e4Kwlx+RMYF0fURReR89ZbxFx3HR1bh5K8t7i2ltJE0CBaB8YYct54g4y58/CLjCDm2UU8kh3FkudXEx0ayJzzB3BhYkf8/erKSKgoSlNkZI9YPp15KhUeg8u/7jGXMZdfBiUlZD7xBL9HhBF///0M6RLNhAHxPPflNrrEhjH0kzdx70rmuFdexi8kpPrcqiAK0GbKNeQuWUL2okV06XMemw8zvUZxLhpEa1GRk0PaPfdS+NlnhJ06iti/PcyU97fz3fYUrjmlCzeO6UFEsOvwT6QoSpNDRHD5H/rLccx11+IpLib7+efxCw2j7e23cd8f+pGau44nn/2Ap//7ElEXnE/YsGH7nVdS7qmeP+6KiyPqwgvJeftt+vU9kxU5JZRXeAgM0AkTTQ39j9WgfNcudkw8l6KvviLu7rvo+NxzzP42na+3ZjHn/AHcc3ZfDaCKohB7ywxaX3ope196iayFC4mPDOada07i9o3LKAoJJ+6OOw44p9RdWd1nClZtVEQY+N9/U+kx7M7RJt2miNZEa+Dq0IGwESOIvuwvBPfty9Kk3bz2/S6mjOzChYkdD/8EiqK0CESEuLvvwlNURNbTC/ALDcNUuOm0dzdzh13OwpAwQmudU7M5F8AVH0/UhRfieftt2o4ZyI7MIrrFtvLuH6IcMxpEayABAbSf83dK3ZXc869N/HN1MkO6RHPH+N6+VlMUxWGInx/tHv4bntISMubOBZeL8uGj+CJuAF//lsXYWmsJl5TvH0QB2kydQs7SpVz862fsyDrZm/pKA6HNubVIzS3hnAVf88/VyUwZ2YXXrx560EEGiqK0bMTfnw5z59Jq9Gj8W7Wi5+wHiQxx8cznWykq2z8fbom7kuDA/YOoKz6eqEkXMDZ5Lelbd3rRXGkoNDrUIqZVIO0iQ1h81RDuObuvdvQrinJIJDCQhIXP0H3Vp4S0i2fepOP5cU8+45/8L/e+t4mvf8tib1E5O7OLiAw5cExFzNSpABy3Yml12WMrt/D+D45YNlk5DNqcW4ugAH8WXzXE1xqKojQhRAQJtXpBx/WLZ9Glg3l99S7eXZ/K698nEx4UQGlFJded2vWAc13t2rFzyBgGrl7F9h+30eq4Djz9+VbCgwI4tUcsQS4/tmUW0q99pLf/LOUI0CCqKIrSwJzRN44z+sZR6q7kgx/28NyX27h0WKeDBsLEu2eQde4qNt79AGWTrwSPh/zSCp75YivZheUsW5/C7PMGMHnocQe9pvv33ylemwSeSiInTmysP02phTTHxWATExNNUpLPlx1VFEU5Yj6ZcR8JdpNuUVAYWd36sty/PZtju5HdtiO5pZVcOuw47jqrD6GB/rhTUyles5bitWspTkrCvXs3AMF9+9Ll3WX1chCRdcaYxAb7o1oAGkQVRVEcgMdjeOS1L9ny8ZdMDszkuN1bqEhNsX4ZEUnqcb341BNNr7Js+mVsI7zAWv/UPzKSoMGD+TGmG/k9+9Nv5GCO79SmXg4aRI8eDaKKoigOwRjDul05HJ8QRWCAH8W7U8j++jv8N22geM0a3Ckp5IdEsCWuO0mRnfgtvid07kxmkZuswnIARnRrwxtThh3mSnWjQfTo0SCqKIrSRKjMy8MvIgIR4cfUPN5ck0x6fikhgQFcOvQ4OseEkV/ipkdceL2eX4Po0aMDixRFUZoI/pH7Bib17xDJrPMGHHBM7dVnlMZFJ0EqiqIoSj3RIKooiqIo9aTJBFERGS8iW0Rkq4jc6WsfRVEURWkSQVRE/IFngLOAvsCfRaSvb60URVGUlk6TCKLAEGCrMWa7MaYceAvQlByKoiiKT2kqQbQDsLvGfopdVo2ITBWRJBFJyszM9KqcoiiK0jJpKkFU6ijbb4KrMeZ5Y0yiMSYxNjbWS1qKoihKS6apzBNNATrW2E8ADrpO0Lp167JEZNcxXC8GyDqG8xsCJziAetRGPfbHCR5OcIDm4dGpIUVaAk0iY5GIBAC/AmOAVGAtMNkYs7mRrpfk66wdTnBQD/VoCh5OcFCPlkuTqIkaYypEZDrwMeAPvNRYAVRRFEVRjpQmEUQBjDHLgeW+9lAURVGUKprKwCJv87yvBXCGA6hHbdRjf5zg4QQHUI8WSZPoE1UURVEUJ6I1UUVRFEWpJxpEFUVRjhIRqWvuutICaZFBVEQckY1BROq3cm4DIyKtfe3gFEQk8vBHNT4i0sbXDgAi4oh5gyLSVUS6+dihl4hMBDA+7AcTkX66CIdzaFFBVERaicijwAoRmSUiJ/vQ43HgNRE5T0Q6+8gjVESewXo9bhSRE+1yr90X9muxUETGeeuah/B4DHhXRGaIyEAfejwKvC8id4nIMF942C6nADtEZLwPHar+L+9hJRHwhUOA/T75F9BGRAJ95FF1b/wHuNjXXyoUixYTRO2EDc9gTeu5DCtt4BgfePgDT9u784HuwGxve9jMBNoAlwPBwCIAY4zHGxcXkfbAC8BFwGRftRDYAXMlUA7cj/Vhfb0PPAYBH9i704AIrNfGV0QAe4Fpvmi+FJHewCqgszHmeGPMam872CQCbY0xfY0xL9mLYHgVERkLfAmUAZcCvwD53vZQDqTZB1E7eALEAV2MMTfbiRpCgZ994NEOGGCMucUY8w2wAhgoIjd608WubbqAN4wxvxhj5gPp9rd+b9VGi4EnsFI6tgbG218yvE0e8Kwx5k5jzNfAV0CliIR5OXikATcYY241xmwEAoH1Xrw+IuJX4282WB/YEcAM+/fefD1KgDXAG/a1E0Wkv7e6QWq8Z6OAbLtsvIhMFJF+9r63PkO3An8yxtxtf270x64EaP+sb2m2QVREeovIy8BDItLJGJMKlIrIYhFZDfwBOEdE3hORdl70SAEyRORe+5BgrDSGl4lI20b06CEid4CVAcqubbbFWmauimm2R0Jj1EZrOtgeucBGY0wJsBi4GC/k7qzDYwdWU10VxUBPY0xRY/Z91eGRZoz5SUTCReRJrFroWLu5O84bHrX+7ycCXbBq5deIyBB7v9E9bJddWF9ozhKR9cDjwF3AqyIS39gOxpgKuzgeyBORaVgtFYOAVSLS3xjjaYwgVvu1AHYYY36r0ZT8OtDP9tR5ir7EGNPsNqwmyu+AW4G5wD+BsVirwYwGFtvHBQFPYtVCvOHxOlbw7gFsB14ENgNnA48BYxvJYzLWUnKZwNQa5T2xmuva1Ch7AnjQGw6Af61jXgfuBlyNeG8cicflwFONfI8e1KPqPrUfh9j36HNe9HDZPy8ERtiPfwE8wDlevkcjgQeBGfZ+a/seXeBFh47AD/bnSGu77EHgIx/eo/cCs+zHfo15r+p26K251kR7A8XGmEexvrl+BEzCChrhWH1fGGPKgK+BDC95rADOw6rp9McKGiONMR8CvRrRIwUrMJwDXCcioQDGmF+BpcCzNY791T6+oZuJDnAwxlSKRdV9+ARwMtBVRP4iIr0a8PpH49EFuxnVbrprjNrxwTz8jcXnAMaqpa/HWnihMajLw23/rifwgohswAoiu4B13vIAMMbkAU8YY56w93OATRxiFadGcNiN9V7tjvXFGKzxFeVVxzS2h31v1Gxq/wqr5QbjpTEMSt001yC6HggSkcH2DfYN1ofQucC3wAQRGSciiViDaxrrA6ouj13A1caYYmPM58aYvXYzmdBIAwWMMf8FvjLGfIf1AfRAjV9PB+JF5D4RuQiYApTa5zVYM9EhHPyqPgSMMUlYtZ0k28Ndx1M1ugdwPNBRRN7H6hOsOOCJGs9jv9fcHvQ0FdjW0A6H8QBrFOgmYJox5mLgbeAmb3qIiJ8dOLH3TwSuAnZ4y8HmceAn4FIRuRJ4F1hrjCn2oofUeE9uAn4UH47eVmx8XRU+lg2racdVY78qjWEEVrPgwzV+dy7wqP34Kqymmf8BF3vZYyLWqNworKaquVhviMmN5VHrmP729QbUKOuD9c13JXCJjxz8gT9hNWP92YevRdVajN825r1xBB5t7Xt0ra88qNVMWHvfy69HFFZO2GN+PY7BoR0wHngVa5CPT14Lu7wr1mj6hGP10O0Y/4++Fqi3uNXBn2y/sW6q4/dnYPU5nm3v98Sq4QTb+6E+9Fhbw+Nkb3jUOvYh4EX78VAgwAEOAnTwsccQ++cVDvE4ywH/F/8avzvgQ95bHvbPM338WjRYX71TPHRrgP+lrwXqJQ0jgE+xanoDgd+AU2odE4k1H3Q91sCASVgjMGMc4tHWmx61jndh1bYKsZqKXA3wAXksDg/ScIH8WDz+RgMN0jhGj4eoNZDERx73N9QHthNej4Z4LY71fdIAHg3yftWt4bYms54oWIkKjDGVQCWQA5QbYzbY2USmiMh2Y8weqB6Q8Ko9KGQ21s061RiT5RCPYx5EdDQe9vGC1Vz5Ilaf0i3GmhfZpB3UQz2c7uAkD6VhcfzAIhFpY8+TO86+AcFKlJAJJNj7T2GNmjvVPse/ahSbMeZvwLXGmAHG6qhviR5+toPBSiyw0BhzUn3fkE5wUA/1cLqDkzyURsTXVeFDbUBf4BOsUZov1igPAN7BaiYNtcsuAb5Xj4N70DBNUT53UA/1cLqDkzx0a9zN6TXRPKz+skjgFBEZCdWZRF4HJmDltQTrptwpjbMKR7PwMPY7sxk4qId6ON3BSR5KIyJO+T+JiNR104hImDGmSERuBSYYY8bU+N2tWDfhZqxMRNuMMVPVo2E8nOCgHurhdAcneSg+wNdVYfu+O6KRmVjZUq6usR+INTH+EWC6ejSchxMc1EM9nO7gJA/dfLP5XsDKgLIcuB0YVKPcr8bjAPvnH7HmevoB52PPK6Rh+lHUw0EO6qEeTndwkoduvtt80icqFvFipVUbA8zDGql2udgrmRg7BZuI9DT2agrGmA+wVj0pwMqwU1VerzZp9XCWg3qoh9MdnOShOARvR232fStzAbfVKB+BlQy9apWEBOBNYBlWCrQQrDy324GJ6tFwHk5wUA/1cLqDkzx0c87mvQtZw7ofwVrWaZxd5sJu9rBvsm+B9vb+BcAdtZ5jgHo0nIcTHNRDPZzu4CQP3Zy3eSVjkYgI1oTiCKxlyW4Tke7AP8y+ZZeGAJlmX6afZTXODzDWQtKb1KNhPJzgoB7q4XQHJ3kozsRbaf/CsdLdjTPGFIhIFtYcqUlYK1UAdAa2AIjIIABjzHp76HhDLUWlHs5yUA/1cLqDkzwUB+KVgUXGmHxgJ3CFXfQN1jJkI0SkvV3WFWvtzUexmkwC7HMbrNNdPZzloB7q4XQHJ3kozsSbo3P/BQwUkXbGmEJgI1AGxImICzgPuBCrSWSkMWaNejS6hxMc1EM9nO7gJA/FYXgziH4NZGN/mzPGrMfqR2hl9ys8AQw3xsxRD695OMFBPdTD6Q5O8lAchteWQjPGpInIe8AcEdmKtTB1KfvmSr2kHt71cIKDeqiH0x2c5KE4D6/nzhWRs7CaPUYAC4wxC7wqoB6OdFAP9XC6g5M8FOfgkwT0dh+C8fWoNfVwloN6qIfTHZzkoTgDx6zioiiKoihNDaevTyOoQgAAAtZJREFUJ6ooiqIojkWDqKIoiqLUEw2iiqIoilJPNIgqiqIoSj3RIKooiqIo9USDqNJiEJFKEdkgIptF5AcRmSkih3wPiEhnEZl8BM+933EikigiTzWE90Gu94qITGqs51cU5cjQIKq0JEqMMQONMf2AM7FW4rj/MOd0Bg4bRGsfZ4xJMsbcVE9PRVGaCBpElRaJMSYDmApMF4vOIvKViKy3txH2oXOAkXYN9hYR8ReR+SKyVkQ2isi1BznuNBH5D4CIPCAii0VkpYjsFJHzRWSeiGwSkRX25H1EZLCIfCki60TkYxFpdyR/i/2cMfbjRBH54miuqyhK/dEgqrRYjDHbsd4DbYEM4ExjzCDgYqxFmAHuBL6ya7CPA1cDecaYk4CTgCki0qWO42rTDTgbmAi8DnxujBkAlABn2wHtaWCSMWYw8BIwqwH+zENetwGeX1FaNF5LQK8oDkXsny5ggYgMBCqBngc5fixwfI3+yEigB1B+mOt8ZIxxi8gmwB9YYZdvwmoK7gX0Bz4REexj0o76rzn66yqKcgxoEFVaLCLSFStgZmD1jaYDJ2DVTksPdhpwozHm41rPddphLlcGYIzxiIjb7Mu36cF6Hwqw2RgzvB5/SgX7WpWCj/K6iqIcA9qcq7RIRCQWeA5rJQ6DVaNMM8Z4gL9g1doACoDwGqd+DEyr0Y/ZU0TC6jjuaNkCxIrIcPt5XSLS7wjP3QkMth9fcAwOiqIcJRpElZZESNUUF+BTYCXwoP27hcDlIvI9VlNukV2+Eaiwp8TcAvwD+AlYLyI/AouwanS1jzsqjDHlwCRgroj8AGzAWm7rSHgQeFJEvsKqWSuK4iV0FRdFURRFqSdaE1UURVGUeqIDCxTFwYjIM8DJtYqfNMa87AsfRVH2R5tzFUVRFKWeaHOuoiiKotQTDaKKoiiKUk80iCqKoihKPdEgqiiKoij1RIOooiiKotST/wfcc4di0LH88AAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting graph for luxmeter and pyranometer from given stations\n", + "aaa=mean_lux['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "bbb=Lux_meter['Lum']['2019-02-10 08:00:00': '2019-02-10 17:00:00']\n", + "\n", + "color = 'tab:blue'\n", + "v=bbb.plot(label='Luxmeter',color=color)\n", + "plt.ylabel('Luxmeter (lux)')\n", + "\n", + "plt.axhline(y=2000, color='r', linestyle='-')\n", + "\n", + "v = u.twinx()\n", + "\n", + "color = 'tab:red'\n", + "u=aaa.plot(label='Luxmeter mean',color=color)\n", + "plt.ylabel('Luxmeter mean (lux)')#(Wm$^{-2}$)')\n", + "\n", + "plt.legend(loc='best', bbox_to_anchor=(0.85, 0.25, 0.5, 0.5))\n", + "plt.tick_params(\n", + " axis='x', # changes apply to the x-axis\n", + " which='minor', # both major and minor ticks are affected\n", + " labelright='True') # labels along the bottom edge are off\n", + "\n", + "#Saving figures\n", + "#plt.savefig('tag_10.jpg', bbox_inches='tight',dpi=200)\n", + "\n", + "#Plotting graph for luxmeter and pyranometer from given stations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Prediction" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Date_Lum Temps_lum Datetime_lum Lum Seuil encl. PC10 \\\n", + "0 2019-02-17 06:49:50 2019-02-17 06:49:50 75.9380 2000 \n", + "1 2019-01-27 10:58:22 2019-01-27 10:58:22 2652.5000 2000 \n", + "2 2019-01-30 03:31:11 2019-01-30 03:31:11 73.4375 2000 \n", + "3 2019-01-30 15:57:36 2019-01-30 15:57:36 2140.0000 2000 \n", + "4 2019-01-31 09:09:52 2019-01-31 09:09:52 753.4375 2000 \n", + "\n", + " Date_pyr Temps_pyr Datetime_pyr Pyr Seuil encl. PC10.1 \n", + "0 2019-03-10 18:23:37 2019-03-10 18:23:37 -0.800000 156.0 \n", + "1 2019-02-02 22:02:48 2019-02-02 22:02:48 -0.600006 156.0 \n", + "2 2019-02-08 00:06:27 2019-02-08 00:06:27 -0.600006 156.0 \n", + "3 2019-02-08 19:25:55 2019-02-08 19:25:55 -0.600006 156.0 \n", + "4 2019-02-09 17:47:02 2019-02-09 17:47:02 -0.600006 156.0 \n" + ] + } + ], + "source": [ + "#https://machinelearningmastery.com/make-predictions-time-series-forecasting-python/\n", + "\n", + "#series = read_csv('daily-total-female-births.csv', header=0, index_col=0)\n", + "print(data_lum_pyr.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas import read_csv\n", + "from matplotlib import pyplot\n", + "from statsmodels.tsa.ar_model import AutoReg\n", + "from sklearn.metrics import mean_squared_error\n", + "import numpy\n", + "from math import sqrt" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# create a difference transform of the dataset\n", + "def difference(dataset):\n", + " diff = list()\n", + " for i in range(1, len(dataset)):\n", + " value = dataset[i] - dataset[i - 1]\n", + " diff.append(value)\n", + " return numpy.array(diff)\n", + " \n", + "# Make a prediction give regression coefficients and lag obs\n", + "def predict(coef, history):\n", + " yhat = coef[0]\n", + " for i in range(1, len(coef)):\n", + " yhat += coef[i] * history[-i]\n", + " return yhat" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Test RMSE: 222.494\n" + ] + }, + { + "data": { + "image/png": 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BNP+f4xj+4ZyQXPvU+cvamUxCBNTKdO6pkJwZmYV+B05fRMOMg/hqpL7vPJiwUGBCg4l+adQsD1tCerrz//r15ppjUAWg6HO+b59quS1HM3E6K7hB0UotXuD8EKS+3ia0R59mFpxtePJljHnqNtQ9fSTga8jR/MQuTBwZHm+w9gc3AYDf7m+hJL/A4RWue8HXT+DtCcPD1wAJFgpMSDDjhnrk7EV02L8BEAJZedKPpEA+0JgvMzcdw+p9ZwKuWxMN9dHtn/yFHh//GZSqfAWZ1gwgO7cAq/ae1lxboUe2lL8UeHgNVziNWudOep/Yv1+1XJnsC+ipoq6Z+PPreOHT52TPmfFU84UApB7b4bpy0K6rxS3jVqD+i/MAAPH5kbNpsaGZCQkv/rrV/bnu6SPAggW6XUM7rpqNIT+9jee7PYk3cxvgbQDQqVv9z7RNAbTWHyEEGmYc9EvPyctHvEbZE+fkVRzfrz2MxtVKo3nNsoG1SaOzH/HLFszcdBzfalyHNGYKOfkFpsJWu9rpNyOpW1dVqH486x3ccHBjQHVqrSY2wzVHtqJhxiEAt5q+Vp0zyrat/acL93Eesvon03UFCgsFJuQsmfg4MBFAx47AUm3DXe7+gwCA6uczsDKjhjNR50zBRdddf6GRRzTQAoO9hoBz+u7LuYu5qGzoSoW4YuMcHB1Y56J1B7tO6tvQyKYxqhbC3F4GrpJGVS9VsgKf4QV1puAhe0kI/PT9COlIW78/ds441fN/THgM+OpRzeuUyrmomSdUsFBgQsamD/thVqMOhQnLlukq51KTkAAcJGk4DQqFL35721B+vzYodDIl0taauq4RCEBSTmGsnGAZkHUJhQD72D/3nIaQvrO4AmN2CTP3Z6S5W4+dQ9PqZXTlNdoiXWE95s4FundXPP3fGZvRIi/0BnUl2KZgQaavP4wVuzPCVl+BQyA/gM1yyl7OwoMbzXihCBTYpFfUrGtekEaSJZerrM7OycG+d24POKqoJ2v2n8G/l3Ix6adR7rQrss4Ahw4plnHF8tdah6A1C3AIEdBMYdORTNw/cS0c0lD7s5mjDV8jUIx8vZdy1QcYnrYc87u/ybBnj+rpH9OOIiYCrqguWChYkOE//4MHv14XtvpWN7gGc666SXf+F35RDiE8Z7n27lMuN0ASIuCZgl+9k/4DPPIIcFifD38gMkRkZMAuHBixfJLxwj70G78GJ85dxjXHfFZ1f/ONcv1Sm68/pG5XSVAxYo777W8sHPAcSl82rr44LW1FGWgQQTPBBwUErjuoz56kVU3iheDsYaGIjper79bFoW2DCiwUGE3a79uAnjuW687/wzrljnfbb9ove2/JA8Xrt2tSKDQ5tR+YMAF4VFufCwDLFWZieVdUVyyzbHdg+yEb4p13FE85hNA0IgPAGwuVdeNl3ngNvaZ9iNmT/mO4aa6ZiiMANVAgM1FPhACuP6AvPpFW6xweCyU9Z13nJnyD/MtBcDeWEQpGbV6hhIUCE1ZarzcWStntwWJSKLjROQXYeFg+1HRWV2Vd8Pkcpw7ddBiJ3Fx8MnMMkv897n8uW9nVVwAYvnyyqarL5GQBAGxKapMrrlAs6yhwoN2hLYWzOwO8NOIrNJLx9jLCY+t+0ZVPa6YwdW3hoKbQNRUo88hArHzomYDapsWhMxdhcxRg9LyPUD9DWUUYDlgoWIgpaw7hoyXq+khdnDwJ5OkzAn6/NrghEzr+9XvhgjSN+oatnl5oFA2WUNDJjpMKsYNUdL0k/ZyU9NBvzf8EbQ9r7xm86IsfcdvOlXhTKWy3ktARwGNrf9a8vhqaAu3kScVTtaZOxA/TRqLzPmXVZt8v5EN1lF+nL4SHEsbksP6ZTJsjW72Oz++T77CzcwvQ2ievIrn+6ruEWDte+mMi+m1Z6GeLWbX3NAocImyzCRYKFuKl37bi/UW7zV3k4kXnaG/oUF3Z0w6GIErkwYOyyfkFDr8tDRtIo6a8vHy812UwTk76Pvjt8eHk31ux/1SW7LlykycqljubLakdPH67e9IvIF0KzXDv5vmY9sNIzfq//cvpSnvNUYUosQo9YHy2eTfGQOMm5RU4sGmJUxio2Sx27ZRf5RzI7MKrvAGpYCa+ndJq8J82HMGPbtdVDUb457PbCAM3zAIAt6HexQ/PvIO6I+eiwUvzjDU2QIq1ULh3/GqMnRA5gw4+/hioVy+8dbrUDz+bG1GaQuEHnC8zEnItZordtxfPLvwKVR+6LyR1u7g4fyGqtroK82XWKLj5+mvZ5E+WOmdxnjOFZ/87ATe/MlP3UPbov5fco/V4JZdOhdnKXbMn6KpDict5BbgqXT2MhxL1X5yHypnKM0AXTU/ulU337QhV+dZ/eZ6RMbRWTWrX6pE2D7js7y76+2YZVV+ANPQRzB///i6A8NkdirVQaPLDBDz3yM3AbpOjbwPsOnkB7y3c5fSDf/JJzVg6LhzSC9Fh/wY0P77LfEN0dlI5HgbADxZrPydde9Aq1C032tNjODWExn2Pec+pl77ytIpe9+mn5S/t290IgVnfPoOfpv7Xu97//U/x0u3HLNVcR4BTp2STY3PNGUEHf7ch4LJ3/rMEnfdpx6f6fvpLsumG1ijMneuXZFuq3w3YdtnkToBjx/olrT9obt8Ora/cTNgRoxRfobB5M15cJo34mjYNSRX5BQ58v/YwChwCl/OcOvEuH6zAN/O2YMqawk5Hz2rMi7n5aJy+H5N/ehW/ffcs+m4xtsXkuew8XDf6D2w/ctZVqWaZzEu5mLOlMErkno/lR8ieXP/OUtgcBTg45jbFPPvGynu/LNjmr6/utktG1yyjk80vcHi1VREN/29dbpHnlfcqAAr18qNemwLAOfITnvW++qpsuSU70lH5whnUOC/f6btZsEA22ZAKxucZns7K0b32ZfOkGX5p781VX8nrhcy7l5JpYKRt87/P+H536y7eqFNbvzSHQ2Do1L8x6a8D2uIpM/j7XedpeF8tmDgUj66dAfz+e9Dr9qX4CoXmzQs/5+UBOf6jrFX7TiNlxBz31PDcpTx0/WAFTl3wmT5myP+YXp65FSN//Qftn5iM2x4fDwCY882T2PrBXVj8S6GLZ/Y7Y2X9zw+duYiUEXOQMmIOrhq1EHMnPek+9+68j5wfpk4F3ngDOOHdIQ6fsQWDJjlHbmeycnD1awtxLDMbD01Y7cyQmQnY7bId3P6MLDw8OQ3N/7cINTMLO+pPZ43B8Q+/cB6cOQN8/rnfDzw+PxfDVqmHl677yxRZY/Nbc3f6pcl6wZzzHzXVe3Eehn6vwyVxibL306XcfJTMDXwUOTBtJgCneiJlxByMeu1B97mfV/jcm0zHOGhyGtZ91l/VZRQACj7/XDZdGNGV++xIN2rWNnw7/WVdRa9+qK/XcU6+QSeAI952BYdD4L5N8/WXl3E6uHhZ/+rpuKP+9T8+dQPm/HMCo37frm1sPxLc6K8AMHnVQdXzlS5l4oVlk4Dbbw963b5EnVAgoq5EtIuI9hKRTstNEBg0yOvwwuU83PuVM6TBU9Odi2IGTV6P+U93wOFGLZ2ZCgqAMWOAypWBOf4rd0vEOaOIrP78ISyeOAQpI+Y4/eUBXL/s18J8I/4LDBzo11FsPqoxZdyxA7j/fuDll4Fq1bxOTU87giU7T+Gl3/7B2gNnYXMUYMKM13D/Rg9jlcMBlPFf7j/sh41YvMPZaXfa6+1JUu2px4G//wYqVgSGDPELab3rvd54+i9tY7BjnP/IMifjDG7aq2NRXmX56EN2RwEe3PA73pvzvnp5mQEAAFz33I8Bu3SuO3AWQ9coBzFb9MkPPgmLvA699pDQwK4QRrz8JfUZjBc+asvZW04EHIzu4GkdKkNPfGwCK/caXN/x449+SaVNxAo6cOYiFmxLx1vzP8G438f6eRzpqd+MmlMIgQkr1SPIeqHgqBEsokooEJEdwKcAugFoDOAeImoclsqnTvU63HSkcIpY4BBIGTEH2evSAEi+y0RATEyhJ8FCf3VOxgXvzsdTpfKwNKr0wme17eEzzhe9RuZJrP/4fv/8jX0ezT9Oz50zHvH8p6w5jKFT0rD/3Z7ovG89hq32GcWXK+d3WZdB69qDmzBqyXj/elu1Kvy8tjAWkEtFpgfbmDFexw6HwHfTX8bXPyvr25VwTb0/nTka/1v8Je7UCjOxerVf0q4T5zFEpVP347R3R3b/xMLnUDLnkt8uaV/++pZ3eZ+OZcYGYzvDIcvbO2rmpmPosXOl/vJbvTs+w52ahx1u42GD+vSXvWckcxcb2wDJFy3ViyweM9U96c5nee/m+ei1fVlA4TmeWTlVO5MnHgPAXekXNGeHXkXr1jVWl0EomNEFzUJE7QCMEkJ0kY5fAAAhhGJ0s9TUVJGWlhZIZX5Jp5PKocBuRz7ZkG+zY2fFZMxq1AH3bJ6P9ofkX1zRvDlO5whU2rEZZ5PKgoQzXg8JgWx7HD5r1xdvKfmbSxSUKg37Beco72xSWQg4PVgKQJjUsgeeX/mdavm8qtUQe9Kp4jpVsjwuxCXieKlKGHrHCEyc8T//UAkSZzvejPLLFuFE6UrIt8cgn2zIs8cg1xaDT9rdpRlU7nyFKih9Jh1nSpSRDIUCFQ0YxM6WKA2AUEA2QAhUuqRfV3s+oSRy7bHOZyUc2F++OloruXDKcKpkeeTbY1Bgj0GezY46BjeEybXHIishCQ6ywSYcyCUbqmYZc989XbIcSDj3eHOAsKBBOzyw0d+IKkd2bDwuxpUACQcKbDZUuHgOdoMd+5mksoAQEESoeNGYnryAbDhVsjxy7TGwOxzadhAf/i1RxulxJAQqBGBE9fydOAShooF3B3C2P7NEaQgiZMUkYGO1hui1fZnu8rn2WFxISALgNJJXvGhMMGbHxCM7PgEQQJ7NjioG351/k8oi325HqYP7kFBOX3A/X4hogxAi1Tc92qKkVgfg+es8CqCNbyYiGgxgMADUqlUroIrSqjdyr1Zs/+gEPLThdzQpF4tY4YDdUYAau/9Blz1r0GXPGsVrDLrzZSyp1wZ1Tx/BA4lzcGWFBJCNYHM4AJsNTVYt1BQIANCt71vovHcdWuEckuJjQUQgItTetl5TIABA/Qe/xP2b5qFD9jFUSIhB+fSjuH7LWmz5sJ9qua6N78ew8/FoWtYOe0E+7A4H7AX5aLpqkapA6PHgOPxzRX1ce3AT7jm0FleULQE7AUnnz6LiX4sUy/nyT+tOSEiIQxwciCnIR6VFv2qWWVOzKVbUbomOCdmwk9PmmHgxC61X6PPh/rbFraiQFIsydsBWkIcSJBDrKAAMCIVdFWvhaNNUJMXaYBMCwmZDi+WzdZcHgGmtuqNO+RKw2Qk2IlQ9sEu3QACA9dd2Q1J8DITdDrvDgQoLjbkYT2l5K66sVEJ614CK8/xVImqs7HgHysYAsQV5aLTMWNDD76/uijpVSiGGALLZUGGe8S1Od1/bGUQEGwF2hwMVF+m//5XJzZFdMxklE2JgF0C97esNCYQ/k6+Go04dxMfGwA4BGxEqLjC2/8H667sj1m6HPcaGCqdPoEqagVkegJ3tOsNekI8WpUoaKqcLIUTU/AHoC2CCx/EDAD5WK9OqVSsRCK2e+E4I5yROJA+fLZKHz/bOkJHhPi8AIf78U/zU5nb38RPf/+0ulzx8tnhm+ib/Sl591fsaHn/TrrrZ/bnDI1+K5OGzRW5+gXf5775TLO/ZbtffpZx8Z7ncXNVyAhBP3/q0/H0LIUSfPorl0pPKedX5/dpD3mU16nX99R8w1r9eHeV+atrJv80Oh/56+4wS+zOy/Kp2GLhG8n9/Fzl5Pt/Vc8+pljmbUMrre3t77g7v8gcP6q7/xoe/8K8/O1t3eQGIYd//HdD3JgDxdocBIvNSbmHZo0cNlW82aoFX1ceXrjJU/uaBnwT07rj+Hu79kvfz27TJUPlWry80Vf/ylBbeZS9f1l32o3Z3ixd+2eJffwAASBPCv0+NKpsCnDODmh7HNQAEb1WIB6eTvHXpT9zos4isYsXCz8OGAdddhzZTP8Nfyc3QeshkfHxPCxwcfSsqlowDAFyT4q+bR2ys16Gnh8QLXQsXR7ncIGPtPl9Hgwaq9/BqD2+bQmKc3S1nVl0AAB1mSURBVL/enBzg2DH3Ye/730X7Ryfgl6adnLdZUmYfsVtuUayz9RPfYe3ITu7jRleUVm2jHGcTS+Pah+7Qnf/2BwsNxwSBlrV8di4zsPApM7EUUiqU8EsnImxZqDPUAhHiYny+qzffVC3So7+3Yb3fNTW9MyQn66sbwP4KNfzrT0jQXR4AXrqtkXdCnz66ywoCyiR6vGNVqxqqe2T3K72Or+jYzlD5kq2aa2dSgYTwfn5NmugumxWXiNNZ5rbK9HN7jo/XvSvhezc8gBvqVzJVvyZykiJSf3Cqs/YDqA0gDsBmAE3UygQ6U0gePtstfZOHzxb5BQ75jLt2CZGX5z48fOaiOJOV45Xlcl6+fNmzZ4UAxB+/LRc/rNgthBAideh3ovPAT8Xi7SfFB9f2c0r/GevEbxuP+pd3OIR47z0hTpyQHQ0XFDjE41PSxI/rD3uP3IQQYs8eIQ4fLjzOzRV5efnil7+PeI30z2X7lHPV+++/Qly6JNbe0MOrzuThs4XD4RBns3LEr3/7tzkvPkFztPNmx4fEVyv2+dd74IBs/trPz3R/ntHkRv9RshBCrNIebV6IS5SfGXm232bTvI7iNTzz+Yz8D52+qF2+dWtdo8VHJq/Xrl/jL893VmpgtHrv3W+YqjvjwmVT5ccu2OlXvPFTP+ouP7jXSP/6c3Kcz6V/f9WyWbEJ4oNFu021f1ntlv7lt2/XVTZ5+Gz/7y5AoDBTiCqbghAin4ieALAAgB3A10II7QD8AdC7hTMEcnZMPCqWjIPdpjDa9Bmt1yzvP8qMj7HLly1XDhACN3okZZQsh4yS5RAfY8cH7e/F+Na9se3Oa+TLEwHPKEdltNkIn93XSv6kb/iM2FjEALhK2nEquUIJLH/+Rv9yrnrLOkfjaU+9gtYrnAtmWj0xxb2VZLmkONzRwj+MdEz6SXdZOdJLlsf4NndiW2sZW1CNGrJlHDbv5xtrl/mu2rVz/mxUZg1/1L0G3Zqqj2p/+nA67hnWVzWPLpKTce3jX+PZFd+hXPYFXJMUq11mzRrZhVme3HXvaDzRNln2nINIezW0RIzvrDQ+Hoc//Rq1hg7ULNvzuQc186ghOzs1QK6Mt9HlWP3XrCBXf1wckJmJmKQkYLKyW7IgQlK8zO/9rrtkXVVlryG3PE4l+qwntcqX8P/ugky0qY8ghJgrhGgghKgrhFCfk5vg/bubY/TUVUh94jvMeqJ9qKpRpEm10hBkw8V4fyETSmxSp6lX4dKocWHn3f46Hd7BMusefLm6RhkkxcuMR+wKwhXA892c8f0zE0t77YxlBAHS1DSlX9kMX7TurZqndIL8WOrQNG8347HP9MCztz2LgX1HebX58Y4KLoVEuJilvnhua5W63qobDzLLmVMr1BrykOr5EyUr4L6738BdqTVV84WavHx/wadPFDppV7u8/IkyZZxu5oFgQP12vLTM96QyGPijTir6930N6QuX4/dhoe+rok4ohJPn7m6Dn4d3QbWyiWGr8+DoW3Fw9K0olxRnvPDixXikt3zsmFBxY8PChWIf3G1Olws49bnv3aVwHZUe+5emN+HtjgPw4XX3BFy3IIB0iMPRHZU7x2W1W+HqmvIzIeHzw76qRqGA9Kx1eFdvnbonSUkJ+GvcN4rnSQjF+k9VCcwTTy+P9xqJv1Lkv7uWw6bisTteCPja+5vrtyvky4QqMRLi46aG6sLzTP9HVM9fV6+if6LCgko5Xuskc/1Y5ZnkwL6jMHbicFS5+QbFAUEwKdZCIcZuw5VVjRtKg8WMx9rhpVsbaWd00akTFtVvizEd+rtHzuFge+XaAKB/hN5I+Z7ybXZ59Y+E48MPZdMTE+NxYvCTeKpPa31tkGF6sy6aU6Q+rWqgSpkEvH//i7LnP2/bB+8rCLX8ylW8jl1BLUvFxxgK15x+Q2ekDJ+NlckGhbCJkNBmqdUwGWdKaM8Snxolv9r9t+ff1V3XI9fX8Uvra2D2khSnPCMFgNza/tcHgCnNu2HCq+PlnSs6dNBdf46cqitRfWBaqZQ5lZsRosqmUNxITSmP1BSFqawC217rgiavOj/r/xn5Y0QF0+v+sYgvyIP29jASK1cCderIxlXKjk1Qfelo2DDgP/4CLysnHx/d00JvC3AhLhGlfOIYrU5uBuUwfU5qlCuBtSM7A9urAVPktZdKP9Dc+g29EyShIK3R0k2his+IUsRZIpSotea3odfh3vXKa3pcnKpWWzY9u4yM954Ccna9d/o0013e0JfhwUtdhuKuBvJ2r6JEsZ4pWBFZXbwBAvk55MTG43yCgUUyFSoAbfzWHAIA/qmqvkRfSVjVqZikr+4JE4Bff1XsHnULQwXdspGO2hUK3CY5MdzxwHu47jHtSLO+TfwrubDDy4lRVjua2TzGxdnEwGfO1+pwlRx2U33Z9AD7aTeB2pmMUj7J/Ih9iJJNSSJl+Gxsrlr4nLa9ps9dNViwUCimRELTcMcD72F41yc1861I8Z8RVC2j0w9/0CDgDuU1ELrvW8XorXhtn4u7hEG1MokQADZVa4hjZbR1z65Aii4B9Gnbu9zn8u0qgwKTHSsAvDj2V7QeIu99oxVW/OFn++HrVspRPLdWqYu2dYzNjH05VNbYmghZtCSQym0qOSkaoVkNeTVb/pVOteuoHo29bCRmB4JGYfWRBXm9Z5PADNUAypdwluuq4ZppGp8OpM2QSUgv5TTQuTo9Jc7HF84KDg92ChGbwZGgUvjj2npnHApCoV5l9RnTmx0H4lzjq/AOnAu8Pr6nBdrUKW9ou8hOV1bGy7c1Rts15YFD2p1xMMktUQqnkxQM6SC83fsqxbIJCXEYmDYT50qVQ5ks/1hEd9/zNrYp3EvZErHYW74G6p1VDwy4tE4qBqjmMI/arCMYX4XS9WM2bcTlS5fRv2xpbIygfYhnChbkgXYpuK1ZNe2MMpRLisOmV27Gc7c01M5shhLeel+XQHir11WaRrPP2hWOjA886/S2MvpjlFPzfDeoNYbdpHP7UwWhcFMDdRXJV216Y3O9lu7jHldXQ+VSCYiTfMt7y6zt8MVmIwxqXxty9ni1TtlvRXwA1CiXqOrJc4/c+hIflASymvv14Bvqou99Y9D7PnVL2etynjtG8Y0u7IPnbMBTjQMAzWvqt30oX1/hZY6PR0K5MmFThSnBQqEYUrZEnFu1ETI++UQ2+a5UbUNdm16Fi+rcenmDP5TMhFJ+adfXr6R/4Y+C3/jZq/Qbuz1JiLVj7chOGH2nAYOom8J7V1sjUO3n77G3Z+AuuwDwQvdG+FRhQeSlWH0qvMMKxmQ14mJssFeuhL9rqHvjFdiMq/U8SS9ZXnOnxfKJhbPwv76b5f68bmQn3Ny4ilwRQ+h5BQ3tohdkWCgwoaGijC83ZFbSyuEhAFx7UyuuOFfg7ntH46WbHzdUxguZmcK+8jWQHx/4mpYqpRP8YxapITPiVnsOCfXroN5v2hscqZEQa8etzeRX1+6rqM/tc/Tgt3Dv3W8EUHvoR8jn4rUdJmI8pmg2j/UDlUsbiy+lxFXVlVf8uzC0Z3WQYaHAaFK1dAKury/fySuiEa5BDc++0OXrb3Ric6RsVUxpeSt2VEoBAEzroH8PXwAK6iN1u0CoZv2GttmMAi6WKI1VPovctFaJB4MLZbSN2EafZSgevZ41BzYTO7mZhQ3NjCZrPKKi6saEUPDEpT4KVM/abaBTjVWnYhLUd5fwQUYoaO3dWyrBOapsXC1ICyKlUWokR42BIPeYxl0vs3NgkLlYpRpKnTO2WY0a37TqYVhtGSxcNrEBfUZhUpjrZqHAhIYgCQXhtimYu07buhWMFZAJRU0QqnOF6mUTMeOxdmhaPbCdsPyYNAkYNw7rbeHZkTaUqK2vcBGO/teIgNUTKytULK2TipbHd2FXJfngh6GEhQITGnx+TVMGtQnoB+ZSH+mJWaTGa7frj5kPwM97CgBIh1ep0RXqqlSvDowdC8cIYzubRZpAl0v0bVUDny3bF9S2BINWT0xBQn4u/gpjnYcfexqpzbv67fsSDtimwISehg3Rvn5F+UBiChwrVQlrn3zJY1WwsSp91xMEw11TGAxXEW0YWa18qbG6h04oeO6Whtj5eteQ1qFrzYfPl3wmqayuRYfB5MlbGkZEIAAsFJhQMm4csGULsHOnoWJCCFw35Btsv2sgOl1ZBV2bVMXI7gYCBwKY++T1Ie9gwsXkgYEHAQwULftJKLDZCAmxgbucnqsS3LhEhhcNDh6snWf9el2XskdwrQILBSZ0PPUUcJXyYistCM4tRr94oBVqlDO270RcjM1UBxNNdNBYMKcXI9187DWFaxW6D/gIbYZM0l32g7ubo2+r0ASOa1pdebaz7NERmuV/uupm3XWREMYcHL78Euf+O1I9T2qq/utFCLYpMIxOhKap2RocH/g4tNbD53/yGfo6mmHLFfUNLxirXTEJ7/a92i99tMpqbL3MHna94rn8eG1XzwUN2uEVrUxJzlAoWXGJSALw8m2N0bCK/2JIOeKffAJ45y1dedXQHesrBPBMgYk6HmiXgnIlYtG1qb4tCsOF8VDW0cnxwcO0MyUkYGP1K02vIPakn44QGWa4saH2auP0kjocAQYOxNsdB+DTa+8GARjUvjba612nEySvu0jOclkoMFFHvcolsfGVWyI6WlKix9WBxZwKJ30Hy4cYCTubNoW1uoZV1UfzD/Z9TT3KrIuYGHzZpo8uN1o/Ihy3KBiwUGAYA5ROCP12iGbZWVVn0L9Qc7W/CimSGOmuXeGtDffx0kwhKy58W/wGGxYKDKPESG+jodVWFisRzlDcYUXjvox4VLVQ2AdbE2klvJUVjSwUGEYJmW1BrUyRFQa6Md5VG35iSUnIjonH6zcFIcR3hGDvI6ZIM/+p67E7PSuwwj6daEQNzZ07A927R67+KKDg/XFQM79qdeA5Mfq30gz4m7bb0ejZnwEA78z/KNCrRBQWCkyR5sqqpXFl1QAD1EXTyHrRIt1Z5Tq0J3s8j1eWjAdgbPRL0bSK2+TMbXUt4y6xkd7wJhKwUGAYJXw6BKvYFIRsLy48Mxi4lvn2AMCEB8OwaEurAzfQwQd638EUoFMGtcGa/WeCd0GdsE2BYZQIks95uGlbxz8iLAlhSKgFe4DcOQg7lmkSGzzPMFd7WyUbiz8UzMWN7etXxHNdQrxtrgzWfOsZJhxYVHVQray6O6SR2/LM+3yYO6g3Ow40lJ9KlcS0ZrcEpe4ODSrhwNvdgxcG3UKwUGAYJSwqFLRICDBi7NAbw7v+4as2xndrW5UcyB7Y8gRiT1BTH+XoWTgXBbBQYJhigGf31iSMo98Pej+FhfXbBuVaerpo11qEmY06BKVOo6gpj57r/nTY2mEGFgoMo4S00c6KlBYRbogxrqkdvI1+zM6VHpryDur8qd9zypPOjQK3Q0RqX+uEGOUudWVta7xHLBQYRonYWHy+dC9GdX400i0xxO0e8ZmOlnaG3SYhQrMLvQZlEmP9NjzSy4huVxrKr6TumdzyVtw64MOA2mCUGAXVXMrw2cg0sMlRJGGhwDA6seKK4HU1w7+Dmln63DfG3YkvqtfG9PVevflxbKtS1/R1igssFBhGJzWiMGprqDC7J7YZ0mo0wbYqdUEEPHLnywFdQ89+2ow8LBQYRgPXDCFeRV8c7VCAi9ciiW8zdW2vrJHptmbRtUdHNGLdt5xhwkQk9isOFtZteWCM7qUcyuKBtsn44O7mYWvL7Ibtw1ZXMGGhwDB6saBNwUWg6hSrxf4pEaccMq9EvF3REBxKFtVrHfY6zWCN1RQMEyGsvifz5VhnZNA8u90ysZt6XF0NF3PyTclgWZfUcH+V0g3MbNwxzBWbg4UCw+jFgmqk0R0fwpnEMphz5fV46Y+JAV3j+4fbhHXG8PE9Tn/+fRneIc+NtCGaDM1WUz+yUGAYFSLphRMMLsQn4f0bHjBczrP/vbaezk3rg0xAfalHwzfNWIhkXALWB69NRnA139WiXi2qR6YhBjGlYCOivkS0jYgcRJTqc+4FItpLRLuIqItHelcpbS8RjfBIr01Ea4loDxFNJ6IAds1mmODipT6ymH5dEYuNXDsP+gz/7fqk4XJZzVog9+Yu2hlDhK8n1LgwGrnNYNbqshVAbwArPBOJqDGAfgCaAOgK4DMishORHcCnALoBaAzgHikvAIwBME4IUR/AvwAGmWwbwzAWxtWn7q1YCz9ebT76aeREobWEsCmhIITYIYTYJXOqJ4BpQogcIcQBAHsBtJb+9goh9gshcgFMA9CTnMrCmwDMkMpPBnCHmbYxDGMey82NomgW5GnYv6N5NZWc0UWo/LOqAzjicXxUSlNKrwAgUwiR75MuCxENJqI0IkrLyMgIasMZxhMvm0IUdTiBYDfgjhlNt5oYa8cX97cMqKznffRoFpmOuWP9SvignzWC4QE6hAIRLSairTJ/PdWKyaSJANJlEUKMF0KkCiFSK1WqpH4DDGMC535l0qtoYZtCv2tqolwJ42a6SN6yq0O/okwCujbVuRJZpcFX1Qjvhjkut9gi530khOgcwHWPAqjpcVwDwHHps1z6aQBliShGmi145meY6MDCQqFe5ZKwuZofgT2aI4GNgHJJzi06G1QJLFKrGewW3c41VC6pswB8T0TvA6gGoD6AdXDOCOoTUW0Ax+A0Rt8rhBBEtBRAHzjtDP0BzAxR2xjGGBbuGL2wmFAz29yk+BjEx9hxcPStwWmQQRpdURrY6hN3ygKYdUntRURHAbQDMIeIFgCAEGIbgB8BbAcwH8BQIUSBNAt4AsACADsA/CjlBYDhAJ4hor1w2hgCW2nDMKHCYp2qH2XLOv8bGMFa+ZZrli8R0fqtsoLcF1MzBSHErwB+VTj3JoA3ZdLnApgrk74fTu8khmFM4qhVC5vzEt3HdhsB8+YBv/wCXFH0I4XedlVV2JMivdTJOUOw2kyBVzQzjAZW+1EDQM6e/ej1ynwAwKD2tXFP61pArB146ild5aMh5lOMZAQplWC8m7LbIj9Kdy1ei3xLjMFCgWH0YiFdiqtTT4i14eXbGmvkViaSYT6SKyThpVsb4bZAXEmj4LsqXNEceQFrBBYKDKOB1VwKgUKvIavHbnr4+jqRbkLAuMJ0J8Yoh/OORqzpM8UwkSAKRp96cQdjC7DJdqngDQ0iEwyvKFC7otMN9saG1lpLxTMFhimCCOEycgZGjN2G5c93RJXSFt2XOgpmdy6zRkwU2DeMwEKBYTSwoqHZ1WKbidlNcoWk4DQmnETTbC6a2mIAVh8xjF4s9CMXDumDdZpc9HC9L1EwazECzxQYRgMr9qsC5tRHliUKOuDbr66GpHg7MIeFAsMUSRyurjUxUT1jFOH2PrLQ7CaoRPC+P5K2E8WciDXBFKw+YhgN9lSshT/vHQLMmKGdOUookxiLGxpUwuf3BRZy2vJE0+g8mtqiA54pMIwWRPjz/mFon5wc6ZboxmYjfDuwGEaNiaaZUTS1xQA8U2AYhgkFZaT9GyykdgR4psAwDBMaXn/dGXywX79It8QQLBQYhmFCQYkSwHPPRboVhmH1EcMwRYfGUvC/Tp0i2w4LwzMFhlHBYo4jzNVXA+npAO/dHjAsFBiGKVpUrhzpFlgaVh8xjAoW9SpkmIBhocAwDMO4YaHAMCqwTYEpbrBQYBiGYdywUGAYFdimwBQ3WCgwDMMwblgoMIwKbFNgihssFBhGB6xGYooLLBQYRgc8Y2CKCywUGEYFniEwxQ0WCgyjAs8QmOIGCwWG0QHPGJjiAgsFhtEBzxiY4gILBYZRgWcITHGDhQLDqMAzBKa4wUKBYXTAMwamuMBCgWEYhnHDQoFhdMBqJKa4wEKBYRiGccNCgWF0wDYFprjAQoFhGIZxw0KBYVSIszt/IrE2niowxQNTQoGI3iWinUS0hYh+JaKyHudeIKK9RLSLiLp4pHeV0vYS0QiP9NpEtJaI9hDRdCKKM9M2hgkGD7RLxqM31MFjHetGuikMExbMzhQWAWgqhGgGYDeAFwCAiBoD6AegCYCuAD4jIjsR2QF8CqAbgMYA7pHyAsAYAOOEEPUB/AtgkMm2MYxpEmLteKF7I5SIi4l0UxgmLJgSCkKIhUKIfOlwDYAa0ueeAKYJIXKEEAcA7AXQWvrbK4TYL4TIBTANQE8iIgA3AZghlZ8M4A4zbWMYhmGME0ybwkAA86TP1QEc8Th3VEpTSq8AINNDwLjSZSGiwUSURkRpGRkZQWo+wzAMozknJqLFAKrKnHpRCDFTyvMigHwAU13FZPILyAshoZJfFiHEeADjASA1NZWXFTEMwwQJTaEghOisdp6I+gO4DUAnIdzrPo8CqOmRrQaA49JnufTTAMoSUYw0W/DMzzAMw4QJs95HXQEMB3C7EOKSx6lZAPoRUTwR1QZQH8A6AOsB1Jc8jeLgNEbPkoTJUgB9pPL9Acw00zaGYRjGOGZdKj4BEA9gkdNWjDVCiMeEENuI6EcA2+FUKw0VQhQAABE9AWABADuAr4UQ26RrDQcwjYjeALARwESTbWMYhmEMQsLikb5SU1NFWlpapJvBMAxjKYhogxAi1TedVzQzDMMwbiw/UyCiDACHAixeEU4jNyMPPx9l+Nmow89HnWh4PslCiEq+iZYXCmYgojS56RPjhJ+PMvxs1OHno040Px9WHzEMwzBuWCgwDMMwboq7UBgf6QZEOfx8lOFnow4/H3Wi9vkUa5sCwzAM401xnykwDMMwHrBQYBiGYdwUS6GgtPtbUYeIahLRUiLaQUTbiOg/Unp5Ilok7Xq3iIjKSelERB9Jz2kLEbX0uFZ/Kf8eKShikUDaDGojEc2WjmV3BJTiek2Xns1aIkrxuIbsroNWh4jKEtEMabf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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#series = read_csv('daily-total-female-births.csv', header=0, index_col=0, parse_dates=True, squeeze=True)\n", + "# split dataset\n", + "X = difference(Lux_meter.values)\n", + "size = int(len(X) * 0.66)\n", + "train, test = X[0:size], X[size:]\n", + "# train autoregression\n", + "window = 6\n", + "model = AutoReg(train, lags=2)\n", + "model_fit = model.fit()\n", + "coef = model_fit.params\n", + "# walk forward over time steps in test\n", + "history = [train[i] for i in range(len(train))]\n", + "predictions = list()\n", + "for t in range(len(test)):\n", + "\tyhat = predict(coef, history)\n", + "\tobs = test[t]\n", + "\tpredictions.append(yhat)\n", + "\thistory.append(obs)\n", + "rmse = sqrt(mean_squared_error(test, predictions))\n", + "print('Test RMSE: %.3f' % rmse)\n", + "# plot\n", + "pyplot.plot(test)\n", + "pyplot.plot(predictions, color='red')\n", + "pyplot.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Lum
Datetime_lum
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24978 rows × 1 columns

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" + ], + "text/plain": [ + " Lum\n", + "Datetime_lum \n", + "2019-02-17 06:49:50 75.9380\n", + "2019-01-27 10:58:22 2652.5000\n", + "2019-01-30 03:31:11 73.4375\n", + "2019-01-30 15:57:36 2140.0000\n", + "2019-01-31 09:09:52 753.4375\n", + "... ...\n", + "2019-03-14 23:34:30 70.9380\n", + "2019-03-14 23:41:19 70.6250\n", + "2019-03-14 23:45:55 70.3120\n", + "2019-03-14 23:48:13 70.6250\n", + "2019-03-14 23:57:44 70.3120\n", + "\n", + "[24978 rows x 1 columns]" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lux_meter" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "# save model to file\n", + "model_fit.save('ar_model.pkl')\n", + "# save the differenced dataset\n", + "numpy.save('ar_data.npy', X)\n", + "# save the last ob\n", + "numpy.save('ar_obs.npy', [Pyr_meter.values[-1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.24105066 -0.62770959 -0.31475667]\n", + "[[-0.6]]\n" + ] + } + ], + "source": [ + "from statsmodels.tsa.ar_model import AutoRegResults\n", + "import numpy\n", + "loaded = AutoRegResults.load('ar_model.pkl')\n", + "print(loaded.params)\n", + "data = numpy.load('ar_data.npy')\n", + "last_ob = numpy.load('ar_obs.npy')\n", + "print(last_ob)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "window_size=6\n", + "# save coefficients\n", + "coef = model_fit.params\n", + "numpy.save('man_model.npy', coef)\n", + "# save lag\n", + "lag = X[-window_size:]\n", + "numpy.save('man_data.npy', lag)\n", + "# save the last ob\n", + "numpy.save('man_obs.npy', [Pyr_meter.values[-1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.24105066 -0.62770959 -0.31475667]\n", + "[[ 0.312]\n", + " [-0.312]\n", + " [-0.313]\n", + " [-0.313]\n", + " [ 0.313]\n", + " [-0.313]]\n", + "[[-0.6]]\n" + ] + } + ], + "source": [ + "# load the manually saved model from file\n", + "import numpy\n", + "coef = numpy.load('man_model.npy')\n", + "print(coef)\n", + "lag = numpy.load('man_data.npy')\n", + "print(lag)\n", + "last_ob = numpy.load('man_obs.npy')\n", + "print(last_ob)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prediction: 42.263098\n" + ] + } + ], + "source": [ + "# load AR model from file and make a one-step prediction\n", + "# load model\n", + "model = AutoRegResults.load('ar_model.pkl')\n", + "data = numpy.load('ar_data.npy')\n", + "last_ob = numpy.load('ar_obs.npy')\n", + "# make prediction\n", + "predictions = model.predict(start=len(data), end=len(data))\n", + "# transform prediction\n", + "yhat = predictions[0] + last_ob[0]\n", + "print('Prediction: %f' % yhat)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prediction: -0.489373\n" + ] + } + ], + "source": [ + "def predict(coef, history):\n", + "\tyhat = coef[0]\n", + "\tfor i in range(1, len(coef)):\n", + "\t\tyhat += coef[i] * history[-i]\n", + "\treturn yhat\n", + " \n", + "# load model\n", + "coef = numpy.load('man_model.npy')\n", + "lag = numpy.load('man_data.npy')\n", + "last_ob = numpy.load('man_obs.npy')\n", + "# make prediction\n", + "prediction = predict(coef, lag)\n", + "# transform prediction\n", + "yhat = prediction + last_ob[0]\n", + "print('Prediction: %f' % yhat)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "# update the data for the AR model with a new obs\n", + "import numpy\n", + "# get real observation\n", + "observation = 48\n", + "# load the saved data\n", + "data = numpy.load('ar_data.npy')\n", + "last_ob = numpy.load('ar_obs.npy')\n", + "# update and save differenced observation\n", + "diffed = observation - last_ob[0]\n", + "data = numpy.append(data, [diffed], axis=0)\n", + "numpy.save('ar_data.npy', data)\n", + "# update and save real observation\n", + "last_ob[0] = observation\n", + "numpy.save('ar_obs.npy', last_ob)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# update the data for the manual model with a new obs\n", + "import numpy\n", + "# get real observation\n", + "observation = 48\n", + "# update and save differenced observation\n", + "lag = numpy.load('man_data.npy')\n", + "last_ob = numpy.load('man_obs.npy')\n", + "diffed = observation - last_ob[0]\n", + "lag = numpy.append(lag[1:], [diffed], axis=0)\n", + "numpy.save('man_data.npy', lag)\n", + "# update and save real observation\n", + "last_ob[0] = observation\n", + "numpy.save('man_obs.npy', last_ob)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Holt-Winters Method" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "16652.0" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(Lux_meter)*2/3" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "#https://www.analyticsvidhya.com/blog/2018/02/time-series-forecasting-methods/\n", + "#Subsetting the dataset\n", + "#Index 11856 marks the end of year 2013\n", + "#df = pd.read_csv('train.csv', nrows = 11856)\n", + "\n", + "#Creating train and test set \n", + "train=Lux_meter[0:16652] \n", + "test=Lux_meter[16652:]" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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......
2019-03-14 23:35:00NaN
2019-03-14 23:40:0070.6250
2019-03-14 23:45:0070.4685
2019-03-14 23:50:00NaN
2019-03-14 23:55:0070.3120
\n", + "

5459 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " Lum\n", + "Datetime_lum \n", + "2019-02-24 01:05:00 72.5000\n", + "2019-02-24 01:10:00 NaN\n", + "2019-02-24 01:15:00 NaN\n", + "2019-02-24 01:20:00 72.8120\n", + "2019-02-24 01:25:00 72.6560\n", + "... ...\n", + "2019-03-14 23:35:00 NaN\n", + "2019-03-14 23:40:00 70.6250\n", + "2019-03-14 23:45:00 70.4685\n", + "2019-03-14 23:50:00 NaN\n", + "2019-03-14 23:55:00 70.3120\n", + "\n", + "[5459 rows x 1 columns]" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "#Aggregating the dataset at daily level\n", + "#df.Timestamp = pd.to_datetime(df.Datetime,format='%d-%m-%Y %H:%M') \n", + "#df.index = df.Timestamp \n", + "Lux_meter = Lux_meter.resample('5min').mean()\n", + "#train.Timestamp = pd.to_datetime(train.Datetime,format='%d-%m-%Y %H:%M') \n", + "#train.index = train.Timestamp \n", + "train = train.resample('5min').mean() \n", + "#test.Timestamp = pd.to_datetime(test.Datetime,format='%d-%m-%Y %H:%M') \n", + "#test.index = test.Timestamp \n", + "test = test.resample('5min').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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6CCkJo3cSQgghVYZCn7GZ5Y/eb1lvpEKfFGr6CCGuoYxJCCGESKm50CexS3K60KjJooVCHyHENXXfrCSEEEJE5M0767pzWtfrLot1/8S7OKPQR0hJOI4SQgghVYaBXIJRl0VSxDvyFPoIKcnP792OGzfuDN0MQgghhAyiboFcBgpaoYSvSIS+Qc/Hvq2C8vGKTvG2nJAAfOO6B73VVZdNM0IIIcQNOrcor8Ek+th98/8mWjzY9tGQ9PFFf1f+WAp9hFQXl5t+HY+SWJ02KwkhhBBrNFAr884qRcyMeadaC/I4U+gjpPo4SbkQ8ZhGqs1nfnwP7t26N3QzCCEkYmpm3jlwURJooTK9K0y9LuhQ6COEEOKBPdNz+MSld+O1X7wmdFMIISRyahS9c9A1Sq7bto/yxf/jD+zO5YuBfSbQmC5Z6a4tnqHQR4iAGkwhJADZHDTTqpCpDiGExEbdArlUiZ0bQrfAHInQ1xxfvHYsMhT6yNCjHE4AnErIosDdBEIIcYCDlA0ze4HZSSetWXw4eZDyUOgjtcHJ0Ggwl2itsW3vjIvayZDDTQVCCLFAO4je+eGjgU8/w1mTFhVb8846Co077rc8Qbx9RqGPEAENA63h1659EM/50I/wy0f2LEKLyDCgI55ECCGkOjgy79y/zf4cXqhQIJdYuOwfQ7cgGBT6CBHQMJhLrrxnOwDg/m37HbeGDAt1iDdACCGLyqbrgLnJaqUxWGysNX0OidmXsiaTMIU+MvS4HIaUwdliHgeJH7L8jy79TwkhpFZ86w+Tz70PJ58mC/lb/t1de2pBPYSlPiIWECn0kdrg4j3lmpwsBu2IJxFCCBkavvPW0C0QYmneybknoSaLOwp9hAiwGRc4tpIDkT0bNZl3CCFkEVCFzxpMuq7NO60WKpzAqg6FPkIEmJjfZUWkwTo4fNaHrnln4HYQQkj01Gr3LHAgl2HZzR6W61gACn1k6HE5/psEcjGF/l31oVOP+YYQQhaPLIDL3FTYdpAhJ94Jm0IfqQ0uwuJLA7m02h3MtswiiU2MNY3KkfjoRC71nfLBS/HaL14duhmEkDqz56Hkc+sdyadUe/PLC9y2xwfWGiqHc09nzt25fFOTTfaR0A0gZLFxqbWXjguv/eI1uGHjTuftIMNF9mzsnJzDjv2zOHTZWNgGCdm+bxbb9+0I3QxCCDHnui+GboEBXFiQ8lDTR4gA6V5QJvCZoCkl1oZ89M53nHdjwJYQQkhNGZY5d1iuwyeSPnPZv1vvdHeuElDoI0OPy+GPfnZkMejkJpHNu+iPQggh9tRA+HGdiL6uAuPdF4ap98ZzvVZHoY/UhtB5+qTV13TorSV5rS41vIQQQkphO19UySewjnie7yn0kaHH5SJaGsilzty0aRf2Tkfs2O2RfBwXTqGEEEJK4VrTRzxDoY+QyuIzZUPMCp+p2TZeffaVeMfX6J9Whrx5ZyfmG08IIVWhDmPpQKEv0HWf8Mow9Xon3ueKQh8ZekJG7+xvR7wDhZS5TjIR3bJpd+CWxEEnN29Hnr2BEEKILxqjYevPr2uOfFa4dsQKzTsJWRxcvFoNn6q+iHeTMuK/Aj9Qu0cIIURMw3YZX5x7bOYizmNyKPQRUlkajN5ZCvaSjE5fIJeADSGEkKGhBoPpIPNOTiKLS8T9S6GPEAFe9Xzxjit1mGqdQpNOQggJjYOBeHYS2H6P/XnKUqW5o0ptIQOh0EeGnpiFp5DcvmU3zv7pvaGbUQv6zTv5wBJCiHdcLBb+/U3AZ08B2i37c5WhUtE7OXeJ8bxAHfFaGyEBsX23RpvKztpdWDj08PmKz/wcAPCnLzpWXDbTiO6b8TTxRU6dgvwQQogXQoyr916aVe6pwtB5+oaITseBj6QU+vQR4hTt6KVSUFbjo6t2+KZN28NFpy9PH7ubEEJIGQZOGD4nkSGavEprTeO9Tgp9hJREKb8amaqMn3PtKpmPDCcdCtaEEDJEeIoA4Nq802rhwXlMDFM2EOIWV++UUvUc0jY8tj90E4aePk1fuGYQQsgQUYfRtA7XOMxQ6CNkkbB7uRLzTvNziH36KqLq+9xP7xOXqUbL46Eq95oQQogDfKV3sk7Z4NAnMPp5rGT7I75OCn1k6HH1eibmnY5OFhEml1zHfrKhL3YnO48QQkgZKjVfVKktZBAU+ggpSUPZRe+UUpXhk0LI4sMuJoQQx4QcWL3VzckjaujTR4hbXAktCsV8atJ2OGmGd4yaHem1hiL/XLHrCCGElMJ1IJfdm8zLxrrIETPgOjtts1P94qtJqggJ7Tl5mRQKfaQ2WI9Hns07Yx4/Y01PEQr2FiGEuKYGI6ttyoZi+a++yqYxFmUjZ3q3edk7vic7/v8cDnz37UZVUegjQ48znz5H54mOGo/jvujT9LG/CSGElMG1pm/fo27PFxM2k2+nZV52blJe5tZ/N6qKQh8hJWk0LKN3io+vxurfpB0UXISwvwghhIhxPHmIJ+/c8Zd/1GlT4iIOtQCFPjL0OMvTh/58anXBpP9q2E1W5AVrBs4hhBAHyPMkLU47FpMImxw9tia1AaHQR2qDtUufUlbaN/FiviJjSIzzYGwY+mQTQsjwccFfAt98vbzcSb+TfDbH3LanyoTO01cVtt8btv5IFkojoRtAyOLjLnpnJO+1U8zMO2vYURboA3wnhJDacf2XzMqNLU8+VxwB7NpocAKXo2+sKRsi1Y4+eBVw+LGWJ7G4FhvfSo99SE0fISVRyu+CvCJDKc07PZAP5BKHZwAhhFSMlUcln6/9evqHGsxErgO5VEWIk+K13TTvJKSyOPPpU8rqXHEMCW6Idd4IBfuLEEJsSQfSZWvCNsMnEfuXuSXwNdsI38rfVi+FPlIbbE0Ole05IrWaqEgzhpr8c6U8TgCEEDJ81GkMTeeON//AsHhxho90xp/ZF7b+qizYFoBCHxl6nOXp85ycvSqYCLpVSTcRC+wtQgixJJurso2zOkzYmYapORq2HaG55O/tz2H1vNgoBOjTR8g8Nu2YxEW3PRKsfgW76J1SqiM4GeyaVqXpkZAf86noI4QQG2o0iHYFXUfL+ToIyrYM6iMb887LzjIvK4RCH4mGl33qcrzjazeKy7kawxqWmr7qCHGkanQ40RJCCJGSCRuqmfubT40V5y4Adn2+5yF37VgACn0kGvbPtq3Ku8jT5zM5e3XkABPzTiKB/UUIIbZYjqQuJ11vE3jBpJUEIo5ZnEIfGXpcatiorStHdQTWOMj7Te6anMO19z8WsDWEEBIxdRKAXJt31hqDhctJv5MWjWPRI35KlFLvUUpppdRnc39TSqn3K6W2KKWmlFKXKaWeVii3Wil1nlJqd/rfeUqpQwrHPF0p9bP0HJuVUu9TDGVHKoJS8OqrG8cQQlxQfDZ+eOvDYRpCCCGxEsnC2ymZeWejmf+jx/pr2Od5nvi85DOSfhAJfUqp5wJ4K4BbCv/0NwD+EsCfAXgOgK0ALlVKrcgdcz6AZwN4OYCXpd/Py517JYBLATyanuNdAP4awLslbSSkiLs8ffUUxMySs9exp8wp9hf3ugghxITc2BnJQtwJ1PQFJo5nrfRTopRaBeDrAP4IwM7c3xWAPwdwltb621rr2wC8GcAKAK9LjzkRiaD3Nq31VVrrqwG8HcArlVLHp6d6PYClAN6stb5Na/1tAP8E4N3U9hEX2Iz/b3/Bk9BQyjrXnwSfdbkm4qYHoWMR+IsQQgjQW3ibLhkjnLi6gVwMhT5O1nZk/WcTvdMjkqfkiwC+pbX+SeHvxwBYB+CS7A9a6ykAlwNI9Z44DcA+AFflyl0JYH/hmCvSshkXAzgSwHpBOwnpw8WYNj7SgAKsArlwaCUHos7PxrX3P4aXfepy3LFlT+imEEJip246gkE+fRuvGnwsOThlF4v54zptWdnAlBL6lFJvBXAsgP894J/XpZ+PFv7+aO7f1gHYpnOqi/T71sIxg86RryPfprcppW5QSt2wbdu2MpdBaooTU0OloJTyujivyhBi0o6qtD0WPnjBHaGbEIzf/+I1+OUje3Hr5l2hm0IIGSpqMBMN0vRt/kWYttSR5WvSL3E8awsKfan55T8CeL3WevYghxavuBj2YlCPLHSMOsDfobX+otb6FK31KWvWrCn+MyHOUbAzuYxkI8gJMZumhmDX5Fzf77ptVgN2WnRCCOlpvQwH0CjnrUHRO2O8jkjJ8iMOkXnnaQAOB3CbUqqllGoBeCGAP0m/Z7HFi9q4tehp6h4BsDbvm5d+X1M4ZtA5gPkaQEJKE20gl4jH7SjnThKUNqU+Qog1Vdkx8zSeDUzZIOkD23bWcdzOXXMm1kSy6Ckj9H0PwNMBnJz77wYA30y/341EYDsjK6CUWgLgdPR8+K4GsByJAJlxGoBlhWNOT8tmnAFgC4ANgmsiZFFQngO5EFIn+G4RQuwojCF1GFMGpmwgZgifl5d8MCdsx/GsLSj0aa13pdE0u/8hCcCyI/2tAXwKwJlKqdcopU4CcC6SwC3np+e4E8BFAM5RSj1XKXUagHMA/EBrfVda1fkAJgGcq5Q6SSn1GgBnAviE5mqAWHDtAzsAADOttvE5FDLzTvN2SH0Lq5L2wOT1u3fbvkVoCRlmqOkjhFhjYxsfiYlePwM0fXX0DwjB8f8DXa1qJM/OiKPzfATABICzAawGcC2Al2it9+aOeT2Az6AX5fP7AN6Z/aPWerdS6oz0HDcgSQvxcQCfcNRGUlP+zw+SIBnTc3YvpVKWQl+N1rR/8JXrQzeBREaLQh8hxAbbSVabbwwHoyts5AU9j0JfnRY2GTpe804joU9r/euF3xrA+9P/DlRmB4A3LHDeWwG8wKRNhCw2Csqr9q0qY0hFmjHUvPRpj8PFt9u5Lm/ZNYXNu6bwnPWHOmqVX2ZaceyUEkKqTF7gEc5enZbTlnhhUPAaiaavKguNWMk0rDXT9BEy9CjFCIPEDybz8Is+dhlmWh1sOOsV7hvkgem5CHfZCSHVw9S8sRPHwr2fAeadK48M05TYMRKAD5hkoJJIkrMTUjvy/mxJIBeLczloDxlO2g7WGrFryhr0QyEVpdPR9DmNAstALsNi3vm4k4I0pZZ0NX1hm1EWCn2ElECpbEitn3knWXzqHKvqmUevAgCMjXA6ItXk1Z+7Ek9+zw9DN4OUQWVh1wxwad7pa0wflLKhxvOJHwb59MWx6cpZlpCS2AZyiZU6XrNv2jXu5Cx9a50FX1Jtbnlod+gmkDLYjiG2Qt/dlyx8jGsGJqSX9APHXTF9fe7ZvNPyGafQR2rFph2TxmUbStm91sKXlUNxfShajtVJAMrWKrSeI4TYYxPIxdK88/zftStvRHaNuev2On8EHLhvOt/xCaXXoqKL3kmhj9SKB4VCXzEybyeSF5vERZ2EvCLZUoU+U4QQOwZpvSTFIxyDBmr6asIP/iJQxTTvJCQKTIdFBWWdnF1KnQWBOrF/poUr7tkeuhnBoHknIcQZdUvOnrXZ2LyTiInYvJMpGwgpi615Z6TU8Zp9cvV9j4VugjFfvPw+a4E1E/bq7NdICFkExGNKjGOQZSAX64T2MfaZK1Quemcc/UChj5CSNJSdNiKm6WfOIofAJy+922FL6kkc0wfwjz/8pbNz0bqTEGJFd342jd45JCkboplBKkbp9R3NOwmJA+FckB8CbM07I9kIAtCfKFsq6P7rzx9w3ZyhJqLHYlHIrp/+soQQeyzMO4vROyd3WLTDd8qGUIFcKsTUTj/1hDTv3G63qU6hj9QKZTghKJUmZ69Jnr6aThlBGPRE1mnOzq61Q1UfIcSK4hgijd5ZEPou/nur1vhhgHlnXWfwL5zuucIA5p2fO9WqOIU+QkriO5BLSGyuc++MwwS3NaDZqGHUtQFQ5iOEWKOUeTCXonlne9a+PYvNIPNO0QQe88BbuM+7N3mql+adhHjDxq/OJrCXbXJ2ebup6qsDjZoLfdmjxpQNhBArrIOSFIS+GBbympo+d5Tst5DmnZZQ6COkJL7NO0NSl+usAs0BOxG16v90AmXKBkKIPRa+bUXzzhjG4UEpG+qSnD048UXvpNBHyEHIL0QV/JqgFccQnz5PVLr4o+aKvi585gghbnBk3hnFQt4yYikxYEIEbygAACAASURBVJB5ZwzPCoU+EiE275Z5cvb03bYx7zQvCgCYmvMXTppaF3+4Nu+cmo0r7HjXvJPPHCEkJEXzzhi0WF2ZrwEsX1f4Y5nyEVxj1aB5JyHDj4Ln6J0L/PZZN1k8BgVysZmHYxKeXn32lbjlod0AuNFACHFAn7m8rY+fhU+fr/Esb975pu/5rXtQXTGP4+K207yTkEqjLCK5NBrRvNfW5K+zLtdcJWy6PCbh6aZNu7rfGciFEGLFoJx1Q08+kEtcWidrgt3nvHln9qcIgv6AQh+JkI07Jr3V1Z+cXVklkJYWnb+B5lPLWJNJowK4vq2x3jnKfIQQexwKAjFsoOU1fZkQ9K0/DNeeOpDfXOhGTY3gWQGFPhIhv9i403ud2Xga8rX2Wnde0xfJYBYrMWnmFhObDRVCyJDw0w9bFLY0NTzsKXblQ6D7t6YNTuCqJTUk59NHTR8hbtBa49M/uqf32+JcttYAVnn6xMf3l/A5/1Dr4g92dYLP6LSEkIrys7PsyvcF1xCyfC3wxOfn/hDDmKR72qYqmLXGICgfkLJtZ/ROQhaNPVMtfPJHd4duRpqnLxw07xxOBt3WSOYPp1DmI4QEReuA+e4M0R30hNwKCH11gOadhCweLs2+pENivuqGgtdJYF6evoABucjiMVjA9uc7WhViijpKCKkg88YQqSN9x230Tx/oimn6YsYkeifNOwlxy7xh3GJxaDomKqWsk7Pbaup8+jxFMNUND2ln/+3LTnB6vtigbyMhxB5lIfzkBCjAcgfNY8oGG2GP426PW/5NXobmnYS4pbgYDPVqJead4QQvr0Jfrq5IxrJoybr32U84xNH54rxhnTg2SgkhlcUykEufqeSA81USjWqZdXrssznHkdz3PVruOJp3ErJ4FF8l6fB21CETTtrh2bpzHiHzrZLFozd/uJm4wz6j5pXTvJMQYo3q/k+OLmr6ItiJCm3eOUzjtvh+07yTEOfMy1cnLP/yk9blfskGxbzWRCnlWfDqr8yvpm/wd+Ke7BlzFT8g5O2ySbBO805CHNKeA/ZtDd0Kv1z7BWB6t3l53XFo3umJPvPOKmn8hhnD6J17S2oSFxEKfTVCa41/uuiX2LB9f5D698+0cPHtj4jL2ZqruRq2lbITvEyL/s6zjwbgOZBLJKYKw0BX0+fofCHyWGbYaOtsBEZCSIHv/QnwsacA7VbolgTEMpBLJNobO01fBcbdx+4DLnlveCG7bP0DzTtLcNu35W1yDIW+GvHgjkl8/rL78IdfvT5I/a/655/j7efdiHOvfEBW0DYg14BNGRNC7aGtXTkOwG8es9Bjb53IutqVpu+P//8brNpjg43gRpmPEIfc8Z/JZ2cubDtC4CqQSxUEooWoWsoGk8nrm68Drvpn4LF73bdHhMn9Fph3tmcNzu8WCn01IluQhdpRvz/VMF77wA5ROdvW9ploWpxHqTDCUCNAcCjd9z2CiS9iemaNFZiwLfnBzQ8bl/VpvkzI0BNZVMFKUAzkEoOmL59bsAopG676tLxMJ9VGh35WS9dvaN5ZgeeJQl+N+O8HdwEANj7mOOJRSV598pEAgN84Ya2onO044GocUbCL3iktm7W7kQ4qPoWvui7Ab3loF9afeQHOv/ZBb3UO1PRFKmhv3z9jXLauzxwhi0KmsarAQjMY4uidcOfT520809Xy6bv6bNnxc9MV0PAJ6TPvzPo8jvmLQl+NeHBHGGEvY6SZPG7SV6O4APaaNiFXVaMRZiOqO6Qweuei85GL7gIAvOe7t/qr1LFPX0iaFjvNTNlAiEsyDUQ7bDOCYBq9s+jTF8FEOC/NhLS8vS1VH5OPyYrvy8d5iKC/+2D0TlJhQmv+e2aKZhovUx7ePWV3AqQbOlCeE6RnUR0zTZ9PYht846V4n+sKNX2k6kQVYTbTWHXqKPSZohFdIJfQKRtqiaF5ZwWg0Ee8kZkpSl0KbV+li2/vhcm1Wlgru7aYjgl3PLwHAPCjO/yF+41k/HJOyDRHwzBd2zw2FPpI1fnPm7aEbkJ5IluMLg6WydmjEPpiT9lQoTaXvd9Mzk5i4NBlY0Hrz8Yl6eKuuLtqM4dZBXIBvL7X2XXesSUR+i65Q57uwrjuAe0gi0N+/ij+LTZsBDdG7yRVZ/Mue6sRf9TYvNN09y7G5OwIrOlzaR4a5cRH805SgtlWB62234fk+MetAAA88/GHeK03o2umaJFyAQi3n9JQyk7TZ1pv+pb6jLqa73NptNWYuW2zRWJfQ3qxO9W8v9UJ5ukjxCHdXdYaCn2mzPPps+i7B6+2b08ZrFM2VGncjS16Z07TF4nASqEvEMe990L87jmeBoWU7JEcb4a57aY+fS4x3QhTUNbJ2aUUq/Lp81VXU7udk/5zWmXvwzC4Y9gFu6vnM0fiwWeuVGu6i9GIhT7r0N0GBVxp+r7+P83LSqhayobDjxMWyLX5hq84bYoc4QOTj95JTR9ZiCyFgncCjQvGPn0VmWcVQkXv9H/DbK7zN595pLuG1ICKPN7BiWk9TepJVM9orTV9NtE7IzbvrIJ/3OiEednrznHXDhPKLnz6jvOYssHBApRCH/FGT+gT+vRVZFmslGWePs8BbGywuc7QvqOxMUw+fTbaOpp3kqpTlbmoHHFpIAbieyAsBnKJIY9Mvs1V0PTFOnkBKL/qCmTeuela61NQ6CPeuX6DzEdsnk+f8N36tWMP636Xas3ydSllab4W0YIh6nE7OlLzzirs0lpi89zU1aSYxENU+xJDkZzdcQ65BQ+PMJCLRn+bxeVdP9QxvSSW+DbvdKC1H3HQDEJKkWn6fnirLAplcQiRCk8uxrQsT5/fBOlJZdli2CbxtYTrHtiBDdv3e6mLDNb0xQpTNpBhJiq/02Ew7zTtb6vonUzZIGzAQX8uSIwT30DzTg80mtanoNBXI0LPVw3jcbi/4bbaOlMSTZ//TsyqbHjSy/+eZYChqBZGFaBrKJJfa0S6W2qn6XPXDkIWg6hMkIchkIt3ItT0Jaq+5GslBKiI3hFjApl3NuxFNpp31pBQw0LDUOqz1fS50iCoAW2RYOrTly00mqZSs2fqMOS7pJecPY77ezBshFVq+kjViUnmGwqfPtvZRDzpFpOzRyAwF7WTxB++zTsdaPoo9BFv2Fhc2OBqnrb16TPlL854CgDgxSc+zn/lBnDtLiMTlPrej0j78ClrVxiXjSocPqklUW1M1Nm80zh6Z+zmnUYnsKzfMuhCpSjZjwOv0cN12/huplDoqyGhXsmG8cDU32LxmOIo+ErDMnqnQeUAgCccugwAsGLJqL+6LYjVNDEUPU1f/CwbN9+JbEe9WCB1gOadvgkQvTO/TolCYK5YygaxoFyBNnepePROB31Foa9GhLYAMPfpK/yWlncwcSggTc5ufSp53RVIak8Wj0E+fbHi0/yZEN9EpenLFogxpB1YNAx2iPt8+iK430WT1NDEPJFJ7zeTs5MqE3r8MtX0WQdtdnbdnqN3plee9VsE0w+A8M9ZbPSE+YgnyxSbjQk+N6TqRGWC3M0ZHcdidCDeo3fSp6/WlO3HUMnZHUChr4aEGh5m22aTT5V8+kK82KoCY4pkMR/H0Fc9+qN3xgkFNzLMxCTz0bzTpLpIo3dmbTYR/qwH7ZheClcEMu908DxS6CPeOOdn9xuVszXPtDHJyRdt2CZnNyxchT08yWKHC38Zg3z6YjXlDfF+EOKLOM07Ixb6rHd8DaJ3xib0Vc28s074Nu+k0EfqgO9xfxBZcnafk34xaXfIACmyAAYxLYzC04veGf/EbXPno9KikFoSl9CXMrMndAv8Y2PeGV30zoJ2MkT9fcQ/jy1I3yV7NMVyMP5Q6KsRsUZVnPecCx/8/NE274xSoQJVKMvy9kS52ImEYYreaeXTF+n4ROpDVDFRdj6QfF70d2HbYYVv08MIzTutUzZYN6D/p7QtUW52mpp32mowqOkjEgqao1goLgbFr43L5Oz+MzZ0o56GXBJLrpvyoYyiRheIV1cqaffmXVP9ZWO9aFIbokwrMr3Lf503fQPYdJ39eXz3t9bo235bHkduXLstQ8d9HOM7Yor36J3U9BEB2eOiNfDw7qmDHlslQgZy6YvRpFQQv6PM7C8WTV+dxvw8t2/Zjfd//3bxM9LbM4xsN2YAkkv/k6/d2F/WcVsIcU1cFg/peLL++f6r/t47gC+f4eBEgQK5vHdb8vvE3/Rbvwl5884QO/pRvRMLUPZaQkXvpKaPSMie02sf2IHTPvwT3Lt1b9gGeSI/UZuakCkoe/NO6fEVMvuT7HAX+ziqMOcWvPaca3DuVRuwZ7olKpcJiX2avmi7rHzDp+b6A0zEe82kLkQ1lj3htOTz+FeEbYcNQQK5KGBkzK7ejGkP/pS6U41FQkZspmRGMHon8cgdW/bgeR/+MXbunxWVKy7GN2yfdNmsRaMKgVyARPCzi05oWG8FArnQvHNhikJMWYapu+zu/TD1BBlG2jE9ot2JI+LonVaYCB+6ILRY3vCLffhTBg7kMq+PpP1eISHRxB+x+55R6COLxNmX3Ystu6fx83u3i8oVn8k5w7x5vpnn0yfdvHMl9Cm/YeXnJWcPuOCwC9BRD1qpFuDmTQF8aCqCKMZr4eCYlCiknkRp3hlDMJID4tu8s5ic3bJ+X5q+bptN8vS5bExNyD8XXYGb0TvJImMQl8qqfCiKz7mpz9Sgcy1cd6+AQtg+C1m3KE/f4jXDK7I0FT0OXSY0DRqmQC5WmvBYr5rUhaie0WxAqXOePulI2pf+wMGM3xixK18GXdROeiamd2IhSl9LbtJmnj5SVUJPWC88bk2Qel1ct1JAo2Fp3imcQAZFdQyFTSCX0M+dKTcJNXZHHTIBAJgYa4rKDVeePonv58F/E1I1TDeCgjAU5p0W/W0ynubTHySmPeb1A0BDNheYEdq8kwCgeSepHraW17aMNpMan7J2uahcVaZZhTDmPd2ojgGFJ0kAg2HJt9byZP5cpYA9toTweSWkDJOzLaw/8wJc98AO43NE4hHRT8gXqyWLOxAex5o+H+TNO4NsHEbQR64pvlOqAUbvJJWjqHHx/are8tBuAMBTj1wpKmerKeqP3mmBZfROKVldjUb/7xCINriLmj6nLak+YhPi9LM/emecvWazKRLrNZM4eP/3bwcA/N45VxufI8pnNKR5566NduXbc3bljaJ35tIfxHC/+0xSjU5gX3/t0OjfplWezDvp00cEdALvUm7dO5O0w3aMkR7vMHqnzfhoHL0T4QO5xBXAIDSGZry5SaSOvc1HjCwme4WpVAYR5TgYMpBLa8au/A/+wqKwoXmnTVCUEORNUqtAhZoiRtKP+WO9bRBQ6Kslpu9UVSYsm0AsSXlhfY7qTvL0eezDAfnbQiHy6QMw0sgJMNV47BbEVQ4u+fNZnftsiyy1R1jLA0KkRJWyISOkT59t3ff91E07ytDdfcsvi2O44XmtU4TmnTH6Iw6zeadS6k+VUrcopfak/12tlHpF7t+VUur9SqktSqkppdRlSqmnFc6xWil1nlJqd/rfeUqpQwrHPF0p9bP0HJuVUu9TwxDZoEJUxQfdd8oFVyY5DcvNHNOnOSsW0rRIupg/Mg1qEhOSBPQHw1QTPQyDnVUgl1h2B0iUuFhNRJWcPSOkps+6bo/RO4uR05xobzyM6tbmnYExfTGDzhehzDv9+PQ9BOBvATwbwCkAfgLge0qpZ6T//jcA/hLAnwF4DoCtAC5VSq3IneP8tPzLAbws/X5e9o9KqZUALgXwaHqOdwH4awDvNr2wMlz3wA781tlXYqbldyfM1eJGrLUq7qx7VVrl/erEy2K7um3K5gorKK/a0p6vl+r7HQKppq8//UAcC6ViZL6Rph8xrFurYXXtjsamHZOummOFXXRbQqpNVNE7s5cxpNAX0qdELEwUNX0OArn40FvYpmyw31UPU/76L9nVa8PODf1abF/mnT6EPq31f2qtL9Ra36u1vltr/fcA9gI4LdXE/TmAs7TW39Za3wbgzQBWAHgdACilTkQi6L1Na32V1vpqAG8H8Eql1PFpNa8HsBTAm7XWt2mtvw3gnwC8ezG1fWd+5xbcvGkXHnzM74Ip1AZFyPkqf823bt4tiwbpcLPP9FRKqdS80z/dyNtBffrKH6t1nFqrVuEimw2z3VPxfcrMePuSApcv/rFL7sLpH/FoBnUQGL2TDDNVcZEQEbOmz+vOdNZWl5o+H+Q0faGM457wPP91Pnav/zozbvt2/++y5p2hBWwIffqUUk2l1GsBLAdwFYBjAKwDcEmvTXoKwOUAsqfgNAD70uMzrgSwv3DMFWnZjIsBHAlgvaSNIgrafF+EmjiK9fq87nzdm3ZM4QuX32d8LmnvWfV3n6bP0rxTKApldTUi0/QBiZCcpeaIYt7E/F180+dGnI8x/TR9H6+8d7tZwUXASqtOXR+pONdapHsIRkhtW0iBE5D6JSSf3YE4ppQNVSLGLV9bym4Q2Ap9nlI2pP52+wDMAPgCgN/WWt+KROADErPMPI/m/m0dgG06Z9+Xft9aOGbQOZA7ptimtymlblBK3bBt27YylzGP+7fvBwBceOsjRuVNCTWMhNylLNZ8++Y95ueyDARjgkLOzNJzP1ZhCJVcc3bkbz/7qMVpzCJRvEZT/x1Tn9X8fZYIQFkqlCogejcKh8ZkOUfqy9Y906GbICOopi9kYnjhzJn1k1OfPg/Ymne6IHT9zih5HSuOKBQbIvPOlLsAnAzguQA+D+CrSqmT8k0pHF/cIhnUGwsdow7w9+SPWn9Ra32K1vqUNWvWLND8wYyNJJe/fMmIUXlTQo0jxXp9tsMqf5dl3fmqXQRi8dVv2QK6V2+4CUhm3qkrIahKKXavVAgxfT569zmuXhv0PFo9oRGsrwiZaVVNs7IAvoW+/Y/1vlvnCPQ5KAzy6bNFcI6Pnwh8+pkGdWjLNoc2OcyVX32M5bksKTsHP/F5wGHH5sqVNe80alWuvCehT2s9m/r03aC1/jsANwH4CwCZiqyojVuLnqbuEQBr87556fc1hWMGnQOYrwF0xhMPXQoAOHTZ2GJVMRBbMybTxWFQTV9AXx+b/s6X7ebLs2uOGKlZ6GIgDeQCVY12SyheofR9MX1Ou+adDs4Vmhef+LjSxxYvkeadhDgkE7h8a9s2XdP7fsf37M7lUqBY8NCCT59v9m5JAoRI6cstGALtrv4jn+XmPKaUfd50pxAxdbiidx6o3DiAB5AIbGdk/6CUWgLgdPR8+K5G4gN4Wq78aQCWFY45PS2bcQaALQA2GLZxQabTqJ2+haEvXfGA1/oyqmQ+JQrtbnl/+oubnUsp/xq3oq9X0EAukrFGxynAFMcBbz59A3yLY+mzIpINtJDRhEn9cJVuJxqFfLZA9K3py3d0yAiL0htVzNMXlXln4JQNUb4gFhSFvtIBH8I/T2Xy9J2llDpdKbU+9e37MIBfB/D11DfvUwDOVEq9JjX5PBdJ4JbzAUBrfSeAiwCco5R6rlLqNADnAPiB1vqutJrzAUwCOFcpdZJS6jUAzgTwCb2IK+zpuWQwfHi3Xxv9j15818IHLQLFRazPnfWqmHfalD2ovfEiUoUx1CSQSxXaLWGeeadwrWRs3pmVz4nKUUYJFDJf00fI4mH6SrXaHWcuAl7JNHzehb5A5q/WJkGZT5/DlA0+0J1+P0QXXPcvgvpdmocG7u+y/TdP6GuUe+5dPaMWlNkeWAfga0j8+n6MJI/ey7XWF6b//hEAnwBwNoAbABwB4CVa6725c7wewM1IonxenH5/Y/aPWuvdSDR7R6bnOBvAx9PzLhrTs8mg+JGLwghhvinKzz7N72z8Ce3HlN4Jbtiw0+gcCkCjkfSX6YLceOOxG70zDvPcYjtjMdsrttOX4NV9Ps0yNgTDtntcaVYJKYPpOBSdD19GKE1fqNFrZkBwONHEtQiBXEyEsJl9wgKW5pWDrvGHf2V+vjrQGWDe6eO5d/AuLxjBRGv9lgX+XQN4f/rfgY7ZAeANC5znVgAvWKg9LpmcCxlZyj9F806fmph5u/o2QoShJgUAPnzhL/H2Fz7ZqKxp/bZ0NYwhzTslPn2peWdkir4BgVwMzTsN79MwmHdKKGpS63DNJD6mC+uEaJ7TzKfPOpiKEKcdZHOuCiRnN+H77wR+99zyx8/zL/NNsY9im/nz2Gj6PJh3BvTpGwqKebmGnXl5+kLW7VPgdHCbQ5grZs2uQp6+YuLyg1GMIB3LIsmV0Gdab//jFUmnWRAyGi2pF7dt3o1L7zCLCTdd0PS1Y3luu+adnts7Mu7uXF4DuRRCatkm5jXl9u/Kju+bcA0WKdO75GWKxObLYcs8oa9kIBenprBm1FroC0WzEeYFCarps3lWbd8TRwvobvRO35q+CgRyabXL7zBpaCjYC8mdjsZDOyftTiIge05ed+oT0vrtziM9Ph+V19d+1GP7ZvDqs6/Ew7unxGUXYzlGQZAsBq/8558bv1MzBU1fNJvF2bvk27xzdKnf+g6EbSAX3ykbjLEM5HL+71lW71EwrwqDondGYt5ZW6Ev5OLCdtIwHkZCLqgKVTcEA3LYQC69wpms7stHrZu/zUttB0ei6QMKmj6D+q69/zE86T0/xPP/6ae4b5vUx8GM7FaPWPpuOknO7uld/daND+GmTbvwlSs3eKkvz6D+pcxHqkYW8C0jGt/TTqBALp05v/W5oujTl/wxSFNEaEufPic4qj+Wd4vmnfFRld06n8Ln/Ev2N1DYmHfOCwIjfHFc3Op8ygbT8xnfas/C5iCk5p2AXaCgN375uu73h3bKtVAmZM9otiEhj1iafErvUteoyGEgFx/jistUKuMjyVRUjVGZkB4zrVg1fVkgF88+fU59CH2aw2UTl8NALj7Im3cGMbMMaEIWClPzThf1WlJfoS/gy3zI0tHud5/zR9Dk7IXfMk2fXSAXm4kjX7Jn3lnufK4W3l2fvmjMOwu/LRvu27eup+kzPY/QvHOAkGy7sIxhrZK/xOcfe3j6twgaXmM+8+N7cMntj4RuhleKmr54hL5Qmr6Wu3NZhfmWmncWk7NHmLIhSP26HoJennl9XvJZiSRlw1Bi6q/jgpGcT5/PRU5xrvLpWli8TkndFfB9TaJRCjU52/bN2FeM8IYbADDXlgZyMffp+9Pzf4HZnJApEaKuuGcbdk3OmlWc0mzamXdK6fn09f7WEvT3IEIJT8VIhwejz3S6YbaxcefDe7D+zAu8mQDXnU9cejfedt6NQeq+YcMO7J7ybzo4HaumL5h5p0OhT4Tlfbn3R8nnQ9cnn6FSNoiJ3LyzSht9ojx9zVy5RsnHL7z/Y32FvoAP2vZ9vUWpVdJyse9Q0cRS9qLOtjp4w5euxa0P7ZZVjPlt9erTZ1M2V1h51rgV8/SFpCXaJdH9/mnCui645eG+32Wrnpxt4Y1fvg5v+cr1whrTetIObyo7Td9rPn8VzvnZfaWPH/Q8yfp7Pj7WpYOqeNo/XFy6fH7sy/pcasL8vZs2AwAurpn2qW602h38zy9cjTf/63ULH+yYmVTT96bTngggpuid6RjiO2VDXuh7/Kn+6h14XwT36oHLk88Hr07/EIumTzsOPiNuQEXPtYj09Tk8mndS6DMmP3AfvXoiWDts7qFUFrAVdO96ZC9+fu92/N13bxGXLS7mfAoyTswsVc/4ruz57tu6v+/39n0z6BisxqX1LgZSzZPL21v2uc269p5H9xrVM8+801By0jrJBykl32ezlpq+UP6fEi1In+l0BSLUkuqSPVY3bXIQXl5I5tN3zOHLAIQdh0V0ffo8tzcvZAbT+sFgEioMQtH49AU27wTC1++KseXljqN5Z3zk++7Xj18TrB0+NX3zUjYY1nv/tv3YsksWXGO+pk9StuDTJ6o5Of4pa0u+zAdBujD93GX39v0+75qN+OxP7z3A0fPJFu5V8Ombk/j06YP/Phg3btxR/uAC2TNluhOflWo2kmHRny9hat6ZeyMlPpSDz2lV3EsdpkI1iRetNb7335vxucvuFQlPIS1zMk3f0rFm2pZgTZHRFfoCmndutjUFtvHpM6zLJuddEApaJ+/VhzdZdMYRzyx33MBALj4mXQp9xuQXhiEH8ZCBXEw3ZyZn23jeWT8RlXFp3ikWdjva+FrzGpOuxs3sVACAn/xyq7yQYVRIl4j86ZFFO5V3+md/Ml8oLlt1JjSZvlNd885G9ltW3jRaaX5j+U9f9GQA/nz6gj5T+e/pD3HE1GgWZgRIzHD//N9uwkcuugv3bdu/cIEKkPn0TYyNAKBP34K0HfpdmkTfNC1/2LHJ5zEvOPg5RXgYn3SnV08wjVuu3pACqC+Kmr7S5p22mj6adxqTH7hDmmvY7GCa5h71VV9f3YWHvSF58mzfE8iEzEEkgVxk0TttTVjzwkBoJNozrXX/Ylxw/wb1mTR4g+n7nBXravqEiztTk8qslALw1y89Aa98xhGYi8Cnz5b8bcr6LgZrKmLOph1m6VcqoekbzTR9HtsyuQO47l/MXowseufuTWZ13/lfwLffKi+X1/Sphr+oebbRO9eemHw+J73maMw7deBFQtGErDn4sGHCNDk7zTvDkV8YhnyvfW7CFRexPseJeaalFikbxNgUz5VtBNK49Xz6PFecQ+qrpZTZHuegMn/zrXI+pNlzYi7wJAVtk7OLa+0K90m9o82GyJx28DlLbkzY1GH5JnQGjMGmZ4xhbRY7LsxxP/OTe7rfJZszIe/vh354J4Ceeefr/uVa2Qkevhn41NPNNGDf/iPgh38F3HiuvGy2uNh4JXB3+QBLXf7tDcCt/w5su1tWLu/TpzvArJmPtZgpc9cAAL3+amRCi8cFktUDXgHzzvx6rmEh9EUzkBf6nMnZq0+/eWecmj4pYc0DC5o+nykbYK91U7mcDWXvme2UkdXS9ekLeAflZnc9JO22ODYaeQAAIABJREFU0ibb+pil5RuGefqMzTuzlA3p74ZS1pvjMWj68s9UQ6hFz6iCFrwuFFMXmLB3uqcFEqWBsa7ZnrERw+XSOS8Adj0I3Pl9edn7UjeKKz4hL5sXvrb8t7x8sQ2l6y0Eb5mbNq9bcud//AGLetBbUPdpqmzNo4R1A8ATnierI2/eGczcPVdvc/TAhw3iQeEmShUwTc5uG0mXQp85+UVRWJ8+f5UX6/Ip6xbzd4l8+grtlAo/WmvjnIT5mtSgPx4EVwvSKkQ2FGn6rMxS7TvN2rzTMiCMab1ZfyVWRXZ1+zBZt96MyZUfaWYbG6SqTM3aLVhmW/0LFklakn6tcJinpGGb2HbSQhO138AXvM9+WrhYzJdtCU1y5wl9k7LypmT1rntG8ikOb54+39li3qd5Z77PpEKTRmA/ukIfrV4vK/6dPz7wuaqKsXmnrdBGnz5j8qYqYTV9suN37J/F92/e4qQun5f9rm/c1PfbZyCXzNzQBoVesnFf3dYVBhDXglgDfR3uLa9h4VNePinZTCO5+Fpcdn360j5zkR2q7LgSVvvf+/60I1fN+1sZqOjzx6Sl0Pf3372177dI05c7dKblOTBJiq1fOMZXuGlIWXTBzFJUNnf8jNA8syj03XOJrLwpmdBmal7YnXDzOe98CX25e/XAz2RlmbLBIWUnzoLQ99g9wC8vWLhcdp/HV8mbltVrSW2Fvv5ALuHaIRU4b9/SS4wuFn5sUx9Y9NMdD+/p++3Xn9DNDXaROsGkaBXGU1H0Tp0kZzfy6XNwrab3J1M82ObpEzPP9Fk50KJVf4sgE7Jf8+yjMD7iV9AmcorWGlIuv2db329RFMzcodLATq5omg5ORz4r+Vz+OPPKTczC8gtE6WIxX98VHzcvCySBaHyQCbl580zRxJWZd6b3uTUF7N/upm0LYZXPUCNo9E6nY3YFFjtl0AP8KNuzC5dbsjL5PPoUw3oL77FB39dW6MsLAiE1fdLwzzbr0PnmnbKTuTR3k5l32pq6uSmbtdhbgI+iiBjgOf30a09O2yIjn7JBUtYqsIhl/3RTNnR9N61OV5qiJlop+2esbNtDTrH5NlbBhJkcnLym7/oNclPFR/fM9P2WzH35aLbv+c6tBzly8TBeTzfHk88yi8IDoQ2EvmJAlcWur1tvQSh/xu+bn0tUb1HTJ7xh2+/qLz+1E7j7IstGlWyDjdAXPHonACjgNz+bfJUM4puuK/whkgnAVLt6yBOSz//xUcN6ad5pTL/QF64dcm1br4TYZH2eb5y0vEuhr/yxtrW6aHUixDg4n2EfKhVmOHzW41cDMAiwYVifXVoQO75y5QYAwC2bdwHwG70zf9ku7nXZ+xVyis36V+VC4EQy5deSqZym73e/cLX1+STv167JniDxY5Ncpw4wNu/MhAgroc/ArMvGvNMm4ERRgJk4xPxcEgYGYhGQaTRD+MfZmO0FN+9M3+NnvxFYcaSs6M8/6b45Ppjn01e2XBY4QOi3ma8XAJ7y0v7zCait0JePiO5b0/fkNct6dUtzgTnU9InLO5SObQK5iLEyx8wJ2ZlvXdkFtcNAF8rB+UwwmUuKgUkkAmPIZNs3P5QIe1kuMXHEUuNgQboQXdbevNPHRpar57tPK2wchIfi4mJja95ZRKLp2zvdE/peeNwap+0oS9M0kEu2ONznWVjNCxJSIc5K01cQ+mwjFpZlXsoFwGjyDyH02Zp39vkhBsCV0BnLON4XMdUE08VC2j9H/Ur2B/Epaiv05Rd0195vmd/FUTvK8PVrNxrXNS8KpvB5kZqiHgxZCgU7s1QXqQ5U93+W45LB4JhfFPvGSOibJ8Qsbn3dei1vczfodfrFp0tf/rKTtaWlSXNEOjMF8xyYwa2aaoRtAJXTn3J432+Ju0A+1UMojIN3zu5PPi95r7O2LIjW/ULf/m0HPnYQVpq+XNlXfx548ovMz2VSbz76phEOB5WybSj2tyRnj7UAYsm899iXQ0dAOi2gMWJQ0HanNL3XFhPfUAh9D2zfjw3b94vK5AWYJx2+7CBHuscmXcRtm/csfNCB6p1XWTifvhVLyr8wtsKqK58+qXnPQIHeojEhFvImwWsyIcbEZC/kIj671qwJLjc5DsZgnz67c8pzDAZGmAMz4/5t+9Nyzlu0qFxz/2P4z5s2h26GCFuhb+2KJX2/JZYje1JN3+HLxzA5G0YANN542/KL5PPZb5KVywsCT321rOzeh/t/P/5UWfm8wHjYU2Rl81qrk18HrDleVt4UXRD6TAkxCc3Tjgqe8eA+fYEDybik7PzTbpmbaAIWZkEFs9K6mnfum2nhwxfeKSozKEeULzq5vHHSheWJR5iHfbZN2WCbMBoA/uFVTxWXsV3PdbS2NhtUyn8gl27daetDWD6Y+LHYzEFW98lW05dWbZoo3JRESO5dt4KyD0ojNRs3qMPlJkT36oWnvPC2RwBAvOnngps37TLeGHjtF6/B//rmTQsfWCFmCuadc23ZhNAuTCAy885kEbxu1RLsm/FkLljA2LzTlHx+uzHhxvRcIbeeVCuRFzili1srU0ULuoFcctdqMo6GmGiL5rSiPsyZd4YSumIX9qR05syEPmufiMx/09wLfiiEPkA+IOe1Vr4X8e2OxohhLrDfOGGtcb3zoncKy7vQ9LkYGtasGBcd7+ruSiMMugy7HyqQS8/sThrIpWeC4C9Pn5uKvJt3ot++0+ZexxgF00WQJJdWCGW48+E9+K2zr8THLrnL6jwx+SJOp5q+d77oWADAHmHqhNmCkCiZdzOfvnUrJ7B/JoxQYSTz5a9xVrgxkRfcpGUzwefU/zc9lzBBel7oKAqQC9FOn4vDjwNu/jfgnh/JyheZLdn2rM2m0TszHORCE1M075T4VAY371zg9zDSngUaFpo+4/uVCvgWt3tohD6p6UV+l9GFBkuC1sBoOoP4XqwU2yHBRSAXk4ANxUOPEZrjam0uEORLuYjeaVI20TLaB/cwQXXN7sqXsRK+As5dv3Zs4nP0kqeuA+DPvLMg86GhlPG71tVSCu/BFy+/X1yXy+exFyTJrLy3e5WyczKJxHjjxp1W52lFZJeaafrWrkw23aT58mZbGiMNhdedmoQtlygK90630FCJeeeU44AyZTGK3pkX1sRCX07YkZbNBK8jn5UIgPselZXP6htdCrSmZWU7bWDlUcA7rweu+Bhw09dk5Ytsuqbccd3IUIbRO7vncbkgNPXpk5p3hl7Kq8LnkGNs3ulC00fzTgDyAVlXRNMnFjgt1OjzNX1Cnz4HC5SGgSaiCkEpFJTY7K8K7bYle9zOuvCXpcvo1MS/Z4BQvh8GPd0To+Um8fxt2TU5K9ainLAuMZ0+7cmHpeeTajfNKPr0ZX8zIXu/yr6q92/bZ1iTOxRUbkPF7Mp9j+EjDTfJ5FvteMaIzKcv883bZaDpO+moVfjDX1sPQB7IZfn4CJaMNp1HET0YN2/a1f3eyKn6St/3mZwPvo2mT6qpy9JDjIwnSeH3SoW+vcnnssPlmr5Oq6dtmzgUmHxMVn4eJUfWTDvWyC9rBe/XyETyueKI8mVcYRPxtM+fIoTQFc8Y5gxT884Ma5++mgdyAeSmF5kA01D+FwwdrTHaNAtcYLO93tEay8aa+K93Ph9Af7LdsuWtMUjYbReIJSls6is2aHL3GdWxiwobyEVCzq1bzCCN/ZtOe6L4PCd/4FJ87rL7RGWy/m40FJoNJb7PpndHF3xOlTI/WU8zW+4Ez33SYWYVwa3ZtMlmUB7fwpOpT3aROc9mJu2Oxpv/9Tpce798IT4914ZSNpq+Nsaaje6YIg3ksmLJqHehb8uunsCTX2OUfk6nLYS+fMTNjVfKymZCX3MsEWJ2bZSVn0k3g1avB6Z3A62Z8mV1u6dtG1tW3jzzQEgjYGZ1SyehY14AHHEyMDImLOgAm0AuVjNujtd+w7xs3z0SjImx+gKamne6yHOkDDc1UoZG6GuKIysmnyPNBnxvtna07u4U+xQ4OxqYGBvBtn2JucaZ375FVH7OYUfJNH0H/30wnAloKi+QlNT0Oaq767YbYEPNzI+l309LNAcYVJerto9L7pDtbmfvYiMVQnyZXhcD3zSUstb0ldVELCmpRV0MTksFzj96/jFdodd0PPRt3tnomufbncenAAMAW/dO42d3b8OffeO/xWWnZtuYGG3ikIlksbN7Uir0dTA20uj630vu2Z6pFlZOjGJitIm5tvZ+v4H+NUbp2jNNn2oAs0Kt+rbUX3TJqrRSwTVn5p3NMeDQY4DdD8nqztq69mkAtKx8Ppz9yBKZwDgQoaYvWxRP7wau/UL5akImOc/ant3rKz4hKJsTBKzab/hO9SUUtuw/ozQILinRB1onz7iNpq/4TGfJ1hesu5Cyoc7mnVKfvnMuT7QAow37SHlSOroXMVQ8eVm8VDqNGppFQpNW7WKBYhIYxOb+2N7bYoL04t/KljWqO/c9WCAXw4h1pprVPdOyhWSe4r2WBuXN3oeGUkbttzLvLJzHVPiRptjwHZAwz6HLx/DkNcvwlMet6HaA6TtTDBKy2Jhoqwbxqx/6sVG5//292/DVqzaIy2UC19a98oX4l37+ACZn21g2nizMpJYis+1E6Mv6TrKpsm9mDiuWjGDJaLJk8S0sA/1rjNLzSqbpW3GkXNN35aeTz1P+MPmcFOQT7qTjaKOZaPr2PiJ7uTJN39oTkk+R0NfumXeOjMt9AotINX0Nw42sor+UC6Rtn96dfF53Tvk6QgqrdaQbMMihT19ZAbIr4NO8E9/+hWwn67K7EtOJkWYjiE/faObTJ63axryzY+iMntJyYIpkG7BBiu5+2lWoIA/kMqhOk+tWhkKIC8wUff0mtZJLnh2QC8z0zkkj+mbjgO8ImImmr9+807TurjBSsvxIw3wKsN9Q0d3rtn26bXPISXloZ2KyZrpJMWIpbZ93zUb8w/dvF5ezGf8zxkfMBK+5lsZYs6fpkwjMU7NtLB1rYmIsWdD7CuaSb2GfeWfZE8yki/gV6+S+cbs3JZ9rn5b+frB82e7CdCTxy2vPyPwCW2lbl61JPiVt152eieXohL3QV7regnmn/AThAqJkQt+L/7/k81WfFhTWgYW+mvn0dU2nQ/n0GZrSpgyN0GfKaFOJooi5IDHvNDNnsnm9svyApklmXZh3mkTAtEnO7nLhbpKo3Ib51x2JT5/FHGTjm1UsKRX6+vw/Pc6hGrpf06eU8SZFL91EufIh1wpJfsKsHXbv1ulp5FUJ7Y7GB/7rDjz4mNzn6KMXJ6Z3Gw3KAsAzjk7MuF75DL9BI27YINAWFTjuccuxamK0axI83ZJr+kbz5p2Cmz3T6mB8pIElI2ndATR9zb5ALiULdTV964A5w1ySq9cnn/u2HfSwPvJC38Tq5LskoMpcKqhl5oYPXC6o27Gmr3QEzHQhl9f0ZX1XhsXQ9JUlu18rj0o+/+t/lS+bT9kQYkAvTvhW65RAAmT2jpShazodKk9fw+o+117oG2k0/Jt39kXvlNVtY07USTUKy8fNdsJaLqVjX/5Si5BAuuyC2vYSZ9vtbr022h8bjAO5GJqdDwpsYTq8iYW+9NM0N6EpWbTTDDeavsV/Rm17J79WsO3zTAMk4c6H9+Bfr3wA7/qm3L9tZs5uLNyV+sNlpva++MWDuxY+6ACsmhjFU49YmdP0yfpgttUxDuSSCH1NjHs279yxf7b7vc+8s+xzOm2h6ctYlgZbkghtXQFoJEm7AAAbry5fPtP0ZSZs15wtqDsXvdOFT1/ZOUgXzDuP+hXg0CeXr2dRhD5h20eXyKs40C6r1wWDKnxWnNXH9L4/4/eBt1xQvqyVeWeGI01fnX36TBlpqgDRO9GN3ikNFmHjQqK1RqMBnHpML2KfxKfQVU4pqX+azeLb9tZ+8/rEpOaHtz7s3ezv7J/2ok8q+NsDGxvpDQsmG0rFaJQSfnX9ofPPV7re/t+P7ZsdfOAB6HQj+vo3pu336TPPyWgbBdMniYYzNe/saigF5XMXaSIEZOP+nMFm1muefZS4TJ4daZ4/adoDAH2aSalP+KHLzCMTZoFYlFIYH2lgRqjpm7EI5DIz18b4SKObvkUqcJry3u/d1v1upOmb2ZsIEksPTzReklD8R5yc5Nlbmgl928uXzScqP+Lk/r+VIRPUxpeXL5ORj945Mm4u7HYR+sV1o3c2IUtyHtK8M703WdoIEQdot7dJIILJJk9rFtj5QO4PwtneyrzzAH1V+l4Vffoo9IkZbTa8RwJr58w7pe+ljYDaSRfj+clLsuBxJvTBzkTTZ+qCB7YnJjmbdk4he9HK1j/oqFs37xa3QVmY5BqRa/hY02yIUCo/LJW/X+MjFj5mhXqeeuRKUfl8IJeZVgf3bTU0xxKS920Dsk0RP4FcQk7X+Q3qnq+vTPuTscdAY3bhbY8AAG7fsmeBI+ezYklvwpdairTanW66gz0GQt8fnHtd93teE1WG49NclCZkQhuQvKdSbWeSskF1o2BKLLlnWh2MjzZ6pqVCId9mXMkwcsOcmwTGliepC7LfZVGNROAbX5loFfYbCn3jK+R1z00lkT8n5m/CLVx33rxzIgkqIxF2TSlG71QNiBKtBzXvtNH05cw7Q2HpZ9Yr6mFGevAqu/ptzDszbPP00bzTnJGG+a66KVr3zDulAqed0IfUp6/3N4kgl5l3vuV567HUwJwKALbvnRH7LNncn25wDstBUcFAi+L4ufIX/KZXUaOhsP6wpfitk48UlLep2x3SkPLdZyUdFX90pyzlg6lgnpnDds8D83stzdNnFxnXuGhSHr32mvj65hf+uyZlwg8AfF6YxzHP5GxPyNw3IxM4H9kz3e07k3bft623GXH2T+8Vlc37zEp9GbPomwCM8uXNtXUSvTN9v0zMO00CubTaHSeBfvKm7qWf/dn9STCT0VSDIwqI0k7MM5VKNG4Soa1r6jjSE/okKSNaM4nAtjL1OX3unwjq7uRSNoz3zmeKafTORrNn5lqGkFEwMyF91EDTd0ANZYDgA5FYd85H0HAb884DDhxld2kLGxM07zQjTPROs0AuVuadSCau/OQlqT8TEEctTGJ/ctdWuabPqKa0rM7OYXaW/hQ0Ui2KK3NYlZp3htHLKCVLVJ71j29z2Hz3nLBuBfYKF+NZO11EOJSSr9EmT1+mmJW+n4cvHzes0ZzEDLj4t/Ll90z17q9JCoLfO+VoAMCRq+S763khYpdwcyEzTTx69QT2TLesBG/po5qPjptFIC1Lq627mn8ToS8TGk0CuUyn5p29QC7lF/P7Z5J2PvPxhwhaO58+oa/sGzo3mfjUZZo+SdqGTt5McoksIEo+kMvoRLJQnJEIfVM9ga05LtNqdFq9helI+m5ZBXMxNe+sgKav7AuamQxm/pcSDiSsSscVq4k6rX/Xg8DNFkneYzAVdRG908qnj+adVmj4S8Kc0dEwTs5uI6C2Ox00Gqo/yazgdK12Ev2zYaEd7QYlEZSZtyjyJDDmMTFXdPpYeQzkUqwnCSwi0MzCQus1oBqTRfGaFeOYEuYR62mF/TKov03f816S85J1G9XionDBvFPJJ7HdOdNIk4AoWTTiJQZWC3nhSWpimQlLhy0fR7ujxVqoE9at6LoHnCA018wLahuEmr5Wu9MV2JaMNkSCV7uTJFQfazZ7efpKPqStdgetjsaS0WY3T59E07cv1cquGLdL/NyXsqG0pm8yEfhMNH19ZpJLehE1y5YFEgFIKWBshUzTNzfdMzX8o0uAU98hq7vb7tSH1IumLzO7S++zagh9+g4g9G3+RflzmNLKBIkx4PS/Eqad0Bg8a9GnbyC2C6lB5p3rT7c7Z1myqG8077TDQfo5QV09bZlJ3TbRO+faiS9hf/Cf8ueb63QwkkZfM31vVk2MigNV2Gn67F7wfk3f/L8dtKxVzf2EtJoQmxumGhyTPH37Z+cv3k0EmJVLRvtM8CTlfWv6NAo+fTCfl3oL0wAbE0LyZq0mAWh2TSULpdVLR7FfqNUFekKjVFMHAHfk/AB3Ck00swAoh6VBVaRJzqfm2jjtyUlwD+nGRl7AfM93bxWVnctZqCwZbYpSNmRC8uiIEufpm03dCsZHzHz6smdjmWHU6oy+QC5lC83tT7Q3owY+fZ1WzkxSqukrmDqOLxdq+qZ7WrojTwZWljfv7wvk0ky1hW2bCJ4lx+NMsMz6rNGU+RIeyDduZm/5c8xDqOlrjib9rts94eJgdM1qAi/lXc2ZISYkaduzzYW8eefaE4ElAkuCYp2lF5UFU16ad8rRWhsJBlpr8aIS6O3gZ5o+n9E7W+0ORpuNvgWm5Hwzcx0sGWmgYaGJePcZxydaK1/h8K3L93wCu0EyypZ1OID5DORSbHXDIG+caXO/cuWG+e0RjIcZE2NNc02fZwlb68LSoGtGLH9+ej59Dhq2yOSjvEo1lEBPaFu3asIoemdP6JsVb6Zdl8t3JxX6pmYTIebQrtAnm0emZttYvTQpOy3UEtqkOmh3dHfekgZyyYS+sWYjF8ilXJ9n9eSFvhnBdWRa4GWWmr6+lA1l383ZSWBsaU7TJxX68vnuBIJT3rwTSPz6ZgXCS17ok9JpD/Dpk/uudik7IB/xjOTz8aem5ZpC884D+MZJzmFKV+jLmdKW0QpnGwHtAf0byjRIQvHeTpmnlPFGu6BRBtLnpkQ/WDvCZ6a81PRZYWLe+fmf3Yenvu9iPLZPtoOV1TXSlO12ZlgHcimEIJOcb2q2nQiNkPv0Pf2oVXjR8Wvw9KNXJY+rSHN00J8HL2r5jmWBD/LvWekgGXZV402nPRGHLDWPEmhKsZ6GUjJ/+OxLV3tjqW016MmlY01MChe4W3Ylk6x/TV//3GeTdkGqRbF5Sm03bvLX3QvkUv6cmYZu3cpxkblfxt7ppHxH90wAy/L4Q3sBF3bul/r09Wv6Mp+zskzNtbE6HRekQpxNQJO5PvNOoaYvp61rCJ/RrM3jo2aBXDJN33JLoS9PeU3fZKLlG0t9tWaFwViMNX256J1AEkF0WhCltjVtFlQE6DfvbKbmnVaavpIc88Lk8/iXJ5+uzDu9Cn2jwEPXJ993P7RwuavT/InXnjPgH32adzqaMzf+3M15DsrB+qVEn3WFvnz6G6n/jaVP3/a7k98PCnJvpgyN0CfJP5RfhB67drl4V/z2LbvxkYvuAgA8vFvmoJxVnUW/lE7CNjv4Ha3nhZ2WCG9X3b8dj+2fRUPokwcku8TZgsFnnj7bce/Hv9wKIPHb6XodGWieTMhrgKR95hKpj9k8zZUBLz5xbd/5StWb66GJsabYbO5r1yQ5GU1lPtNrTq4vb94pN4vtlu1uTEjqDhO0LvHpyzR9/e0pQxY108R/EwD25fwAdwkFtyNXTeA561ejoeSavkxYWp3OWVKBdXqujaXjIxhryvzqsrIZv3HC2oMcOZ9Wu2feKdb0pUJfFv2z2VDlNX1pf401G1hikBg+06QuHXMo9JX26dufavpSoU+i6Ws71PQtO1yW3H1uuqelk6LbuUAuDjR9pROcd/oDoRhF7wy0JG7nfPpO/M3k+9SOAx+fkWkDB20I+DSVNE5BUBGTFEn7B5l3qrJC34GOKTthp5q++y9Lft/2nXLlcgyF0Ld66Vh3MihD5kD+7jOOw+HLx8WaiFd8prcb8dGL7xKVzepePp48MNKFqY1PXyL0FW2Jy5c/YuUElowm5qFayzQ4+boTnz6ZEGFKJgjYji17pueMgk3Ykl8U+0vZML8NUiE9izgKmLX77Nc/u3e+0ukHet8f2T2N2VZHHGQDMNf02ejM+lI2WGhIeybIi/+w2D6PnVz0TpNIr5kAc8jSMaNk3ftmWjh6daLNyPwDyzLT6mDJaBOrJkYNzDtToS/V1kkE1rl2B3NtjYnRJsZHG2JN33SrjbFmA888epU472or9ekGEvcESbqhK+7eBgC4fsNOAEBTKZRNETuXExhHmg2MNJTouqdz5qGmvOG5T+j/Q9lLn5tMUzYYCH2t6V6ybqmmL9NOmWoKrc07HWr6yo7HWvcHQBFH7zyAeafEV+uQJyx8zCAyoW9kHFiS5pc99xUlClZAaKqK4FYayx3Odrqhkg/kUta8s3u88RZx/3NtsEkxFEIfINOAZTuMzUbip2WTnP1n6WRWlkxjsjx1Kpf6c1iZd3bQF7kzOV/58o1GYqZpskDrE/qEmvDioaKy6bE29zg7j1jTZ1Vj/8Ldq0+fBl5w3Bp86LdPApCYG0qFdNvWjo808Qe/tj45n0H57H7ftGmnZUsWn2J/dc07Dc4lNQ0NPV0Xo3dKhNXpuQ5GmwrLxkYw2+6I3nGtNfbNtHDUIanQJwzmkuWNW710DDulKRtS646eX55EgEmOXTrWxPhIs6sFK8vUbBtLx5tYNj6CSWHwm1ZHd6OGNpsKcwItysqJZIH0ymcked8ajfJz2WwrOW40FTgnRpsi7WjWR5mW0oQjVvWbOpZ+Tmcz884skIsgemdrpqcpG7U07xydEAp9M5aavpyGMjtfWZY/Dnj2m3N/KCv0tfsXwUbmnQPqakiWyYXyZeftTBPaGJH1+0FNNaSju81sELmmT8KBUjaU2WA40PWWnrBTbXQ3UFNNhT6lZH552VzVUEkkMZ9BD7K6M6dyebAJi7q1njc2SITI2VaSZ0ka0CSpp+dvpIRlbcaF7Ppc5GI0uW5b8rfLZ56+kx9/CF5/6hOTNij5c6eUvaD6D696Gg5dNib2ofztZx2Ft57+JABmkXl9WzrmUxcA+WAs5po+37lHTegzX879rSzTc20sGWliYqzR/V2Wqbk2Oho4enWigdk1JRX62hgfbWD1sjHsFGqTsyAkmXnntGAOyISdLH2BxMQSSLSby8ZGsGx8RJRUvt3R0LoXgGy0YbZZui7NidgUbLb2NH2paeloU6TZ7UYObbpb7pSz5NJJ9M6lbCEpAAAgAElEQVR8IBdJnr5WzsTS1KcvL3xJUj440/Rl0TuFFhcmc0dRaDOJ3hnSp685lrS/6Shnqrc5oPpzTT/zbJlkxQeadzb89Pft3038+bLNjFpr+gQTUE/TZ5cTy4SsrvGRBkabShxs4gs/u8+4bq3nm66JArnMdTAx2uxqEyRlOx3dt6sv0/TZGM4lnPakw4zPkdH1l5I6TBnSly7C/nTGJCk6/JjjFjG57tOedBhWpZqF3cLFvA3mBhu9KJZ9fzfoR1OfPhMOVPSeR8tFCcynquhq+gTtSQSvJiZG5cE9MoHnqEOSha30OZltdTA+0sDqpaNiE+J55p0SU8U08ufEaFMcTAUAJmfaWDbexPLxkYHpUQ5EJnhlAciajUY3yFUZ8tE7gSSgmFTo62r6xmRmrZnf/IgDoe9vX3YCgJLL3PZsz89sRJinr91KFnaZ4CX26cs0AZl5p1DT1541Fz50JydsGuTpKw4CZQdW3ekJm92CkoXGgYQ+D2Z77blefzfLx6foXV8Ap+w8NuaKsTHQvFOV3BxwdL3F91vAUAh9CjIBJJtsGkqlkQn9PXiZwNloKIw2G2iVdWxwQEfredpgyXi2e3IWqybGxJqI2VYH92/fjwtvewRANhT7ESKysseuXY5TjzkUv3rMoUbn6U/OXrJuo5r6y+ejG/p4SjPhLj+EJ++X4BxpKRufvm7dAn/CvGCaCX1ZRE5ZneIi1gzy6TOhq40urR2df79t+do1G8vVPUjTJzTvXDLaC+MvsZrIgrisSk0spXNAZt65YsmoSGMGJOaczYbq+nVLhL7s2ImxpjiYCpDkwVw6NoKlY01R1NBszsxMJEebCi2BGr0r9OUCuZSePwpC35KRppHQ98LjDgcArD9s6cEOH0j2TmYB2Eq9X5mANzqRmGGNTCSavzJkPnCZAGCcpy9dFDZHetq/MrRsArnkhCdTTd+8GagEnaJ5p9SPxIGmb/m6/t+7HixXrj3bEyKKZoMH46CLf+nEWyMTzQNR5loGmncKNxjmTfLCPuz69Mlzjw6F0AfIfLayCb7ZsDfvfNxK2cCYTXSZaanUmd6GQYFcJO/rrqk5HLJ0VOzTl+2Ed++RcCwuIhIYs2NVmpTesF6FntTnK3pnVnP2GSoYlziQywAzYpt2iAO5qJ4P0ccvvdtNQxaR4uU1DLReLspKsU7FkbM8MA3ksiTVeGW/y5IJPCuWjKT1CoW+uXaaN84kgmaS77SbfsDAvNNU07d/poXl4yNYsWQUe6fnSl93ptVrNnpCm0TTN1OM3iky78wEzlToE/v0JXU/ec1yHLFqifHGH5B7TsscnI/ICCRmnmU1fZ2CNsE4eme6KMz7AZWhNWsn9GW7yyaavmLvlg7kUhDapME1XAh94yv6f99zSbly7ZnecyLR3nQD9gxY/HsVxiISGAfWaRu9s2TQIFfXW3fzTqm5YD6Qi615p9SvIe9POGLoF2FKR8/3s5Jo6yZn2zhkYtR6YSkdHqx6qCdnDjShK38a7TUyIlCd8VAayAVI+7u7QDK/EBPzToWe/+j/IwxLD/gNmgNgXpaj7LuRT19DVnYxnrGy/dfJqfpEi+mUROhrdM07JZGQ984kE/fK/8vem0bbklTngV/kOfe+9+rVSM2DCqqYh2JGohCgEbWQ1N0SkqxuIbXkZVnywhbWQrYWbnXLWHavxrKF8VqmLdReMhJa2L1asjBoAIQGwBItFQZKBQYxVDHUSEHNVe/de8/J7B+RERkZuSPz2xF5zn31Xu1atc675+TOiBwjvvj2/nYL+j7+ZV1R4L02vPPIcqEqFA5Y4HY0CEtV5SLudzl9OUzfI/trnLW7wLnHljhYNzRg9WNme512FpVqwfJACO9k79HY98iy8swhY3urNXaXVVYIcWyq6AUHdLwYy1l8nb5BeGbL9NErji3r5UNFlIXK13s6xim0kHHzTJ9SvTM7py8K71SpdyaEXLaS03fQAWSNuftEZHy0A+dhhGg+CllCX6cvp2SDdyjrwyXPtJ9O6VVhpwXoA7RCLm1IkwvvLBgFHjyZp765qNq8iC2CvqbJr9Pnax0dWaonpfG7xChzxEpGaU/+zARANN2ZAxz2i1dv714JAbLJeEbmZfryfM8/awdXXpBZYHiL1kSLMTkAyPvChV6TbWe0IdlPvPQatU8IdrsJuTK8c7nwIXeqnL72vX3OUTtwv/Pjt9O+TdN40HdsV8+2OYZyZ2GjPVQ5fUF4ZxbTt7+yoK897gdOcrmM6yA6xn1qUhMGdfoyhFxcPuFyoWMZXf4loBcRc2ai1Qnq3e6ZvgD0sSUbYqZuecSCjzWZe1qv+oyRRsmyafo5Zlrr5fRl1OmL3wFaZUNnanGNZgYhl8w3qhNy0e7D3ydBv1/0t/P6kGuxEtnpbiLoY1llYZvFEe4+Dbf57l+2nxc9hWizb6cF6FPn9PlVS4OFKQvv3FvppMLXAeBcVgZrxeBVanUQThV+x9gqyOkoVQjU5qfF2+bgRQNTBCCAPLGJMusa2paQi9REpU2N6CJqe3/nWGWMGjwfRm3DEouPzxdnz1LvRLav1sIWvu5x+jwpBHOFbiGJdz+5asM7M8IknYjJ2Uf0ifAu3PDIzgJHlwscrBvVGLDX5iIaY3BMqUTZD+/UM30nD2oc29WzjD4toQqAl+KYYyGXRcXX6Ytz+nYWlf+Osb0Q9BVOTr03c+hx7s9uDugLhFgAPq+vXvXZn0rB9NVrAI1SUCSwsHRCdp2+8Drlgr5DyOnLtVVueKfA9F3w+Pa3x8I7RRuyEDp/KbxTyyqHbV76TF37gC3hAmTdm6cF6AN00uzdqqWdJGnBy+OO91+GmvAc19QiM6fveVcrCoVGtq6HTB/7QnUrq8uqKmIiAP1kfI78P1tCoKTPRs0Wlr7PekIXhYCVb7M7X84MdExfSo0yxzQiMgPRt22vPhZEx0hCLjmX203K+XM2z02VswAU3ifdtVIyfTtVFtN3olXBPH5Enwjv6r65nD7bF11enstD1OanOWB7bMfW6VOzjPtrHFmGeZBkeKcbM9vrtFSOXfur2qrRt/enpk6fA9m7AejTisgcWXbXuUQVV/VsSuGd2pw+D/qU9e7q9ZDpA7iJUqoOGWuPfK0DeTlMX+4oHeYSAhk5fXMwfZm2PuhA38VWIRZXPH/a76xWlfyyZwVf6t+lfT+tHVZ45yEBTen5cPfN1L6TvyuZPt/emQr6lMAtzKtz+YCayY9bNXSmGfA79U67WrpWFhIrrdOXy/SFITY+t41dOIzOrVGyNyUT047ps+Ald1/PuOJcdXhnybX67F0P4j/e8GV8rRXBmQtEsdbLMctg+qzaqQuFKuiHIl9XUqLcZm3D7LkKYtCne75C06p3dm3q2wqbyMlNDqOCtM8W0Iqp7Cxw1o6d3Gpy+vY9cMsBfV2o4tGMchEnD9aeaTu2W+XV6dvNFJFx7KgSrHrFa8f0VVVbu48P0dxddHl1OeGdO22dvp2FwcFKway29WXnsI6FJzaWwjvZOn0D0Neu7GuYvoUA+piXSgnoc/OZj/2m/ayWAExZTh97qWP1zsPI6cudq4RCLsYAlz8HOJvIR7/sOvv57f+k+26OEBut5S6wFvVxE8dH7PO+L1mwHTLh7Dm/65POYeir6duZDvoMdDl9oZCLW3nUhIvEK5wnFUnlpeqdJeUlQrW8uD9T5gboZdUxXlpfZ6VhdzmhoZUxWe+lH3zBVQCA733eld1knG274CD/7w/dDKB/7rYBYOTwTm1dxZlz+pTMqlvs3WZ457puVHXPQmuaPjPardPmh3duMVW4bS+H6RPUOxX+XXF2F97Jn/+9qISAxpxvLtN3MmD6tGxdzPRpRGTWdYODdeOVPzX99rnopgNewHAsTFkMvKrK0GP2KgrvXC4qHKiYvnVvoVa70BqaKtrDgScn0LFzTMH0CUIuAM/0rQ9kpo8CfS5nKSO8M84bNEavPDq4LzThncEizlzhnQX3C22xWiqrtupDx8JrlTn4ZgO3PLcZnOczzbHvPwwcPT/yIdnVG9+h7VlnjzF9fdOwdWFS+oc//zUAwE/+xn+l23LhRFecZ1/EmlwSB9py1TtL1D6lOn3s+8yF0ywXVaBiydkw7C4PuOWYV3nLDJm75uLjACz404Jdyb796Xo1SWCb4Z1de2HbaiGXMBy2oOOa4w4XVLxvdss6+8V3fxJ3PaDNW7E2ZPra77PC0BRCE5lteN+gjZxyo3XTlfbwecKK99vJlQ3vPJYR3uneCzsZBbsd0MoJkwSAE21YKtCGSSryuj3Tt7PAkZ1KteB40vsGYJX0Hwq5VL3vp2x/XfeA18Lw9XH3o5INu4vKs3+MhTl9t913Au/8+O1ZasThp0q90zF9u8f5On2feY/9vOcW++nDJBXhoSLoI56ROhKq+PTvAf/2pcCDdxK+7f6veF733WKXF6DxFjJ9GtAX5/Rpmb7DCu/cj8IFyRxMX69NAi1bGv3mPj+3fHDe/Q2s8LzU62GJDDa8028fXS/KL9zGTRLOUNDXFQvntg8nhx++2YK+D3zmbrq9YzsLvPRJF+EX/vtnANCt8ro+WpZRr95ZAjjsJKt/s7GTQ18rqTIBm5DH9EFZc65kYvov3vtpAMDHvnRv1r56iyv+y/z+0O+EaLXOlDWrtvA+sWIqvM0pIqIJyXX3Y9f37dU2/O2P3lbkH15t7aJKaIfF9OWwJ+G1qZTvcKBjzHJKNuyv2xyzjNVtFxVyJAjv1BULt2GpgF4Q5cTBGjsLg52FLRexv6rp5+NkCBiXWqbPfrrwTsf0seBrf1X3APZCseDp2nA5fVqgvHcwDO/UPh9XXWCFilSMdBwmuXOML9lw4/9jP2//mP3UMn31ui804SapqvDOlj06eT9w101caKkDlc/43n7brHKo3Yli29AtDs80wIl7gPu+rPA/LPXOvb5aKlv3zdekisAukDFxymT6HrgVuPE/5PlK9tXPzrevTVgskgQEq0E5ADjjvGtBZmCnBehzxg4i8aql1prGCgCctWtX0vYU4Tk+N8JYIRl1nb/C/Lbc4uy9c6ZU73Tb/cy3P7ndh25FfxDsoTgHN99tV1bveXhfXWQ8NCsEo2NRJMtvfzs5fdKxaZm+Bugv1Bb0p1KwdX5BpRcyuB30k/suAWQmHMis06fM6ZsrZDiH6bMMZ5sj1oII9n3YNI2v07eoDI4sK1XExf7K5pi54uwOODLmFDOP7HSgTzMG7LWlJgB92Z4T+6EITNW2zZ38ExLTp1XvbO9Nd7+z1yvMY7T70dfpc0BzZ6lj+izL2L++rBDMhcd38dRLz8F3XXcZgDCnj+h7LOSyOMIzXgPAqM3pO+izEV7IhbjecXinYwwZXx+WGiqHLrscRdZ64x0dU4R+rlRlz+Obn5X06LsfJtN30Gf6bv1L4OY/mfbz96EUaviYcaY8X02dZvroezVuk/B7LLyzM3f6tMxTZQx+4XueoW7PFerOCe3p5/TlMH2qzQdt59bpOwjyKvw+lMzqtRefDcCKAGhyMuZijkpfhZ0cPre9tN0cojSbNKkNoy1r0rTCOTMAVU3b8cS0JKfve559Oa696Di9/bIE9KF/rnJETZxpy6l0QkcZ/S+9H5vGt+pABDsZP1g3qBt48HRsV6eC6XLMqsrgG655HJ591XkqX6AN71w68KQMN2xB146y3l0InhyQYcs2uD6GTB/rO1DvbFm3A5JxO7G/9mG4gJ7pC5U/dypDtwt0xdlDoxeImwbXP/HC7vnUjAEePDnQt+xCJyd9I7YtS8glChcEdEyfA3tugssAN6mEgBb0xSdXM+BKcfJ0uzXEWcK2SjYsM+oi+hf4o3Qqv02xmblsIBgElIRbPibkUmDaic6iMrg6o75U3b5bcpL4Q9Bnc/qU6p1FOX35dfruP2EHq2WvTh/n6+Y0bsKwu6xUg/aspnzJ+BIG7X+ApvD1cMOSo96mEmV4m1RK9BSDmJL3um1at5hjAqYvt21tSGtVxPQ1/XXaAkY5N7LnzgdOFr1bcmxVNx4sL7XM0aoLVQQs+NOFWHbsz446R8y2s7uscMm5R/Hd112O847xSod7gbBITninA09dXh533GF4p5ahHKp36q5XWKbC7YcdAvbXDXYC5c+dRaUrDL+qB4rbNNhd9xWvVU+5L1vgGLOdDKav9XUAji19UCTkErXtmT4CuHlp9Bj06UqL5C/RRkyfxuZg+rLVOw/64Z10e0JOX+4gsO0SRwDkGVEuWzaDMeesicqhAPpzXiqXXRDeqa9MewpaFw7Fbd+pd+a159T2/GqpIpk+DJPUrHZ6/+KcvuF3jL32P9jcgnsfOVAzq3V0vpfK1e3YSkI0tb6hsIlWmOTZV52Pz9z1kLJF2cy2k/rCtqFnmA30r2R3Xl0YMKC7ZuFiju1D/qCgrd9ZyvRJCs5lTB/ZdrDdydXah6xTvr1/6zu7rhsPIjqmj9tPGGIJQF2+IAQC/+VzX6X9em0vK1xz0XG85dVEPa3QPwCcy6rCIwrV0RP7HdN3VMnW7a1C0KdjKGP1Tne/s2B5VTc+PBNony8F07cbDNbLhW7RcE8AfQ/trXDB8Wl1ylXd+NBjIFiQYZqPhVwWO5bpixkpyeLwTm34WFynT5XT196POaDPM33B+a4WyvDO+BgzmT512B4OMbxzL7MuYjBB8aYMxZrDrr4+z6+I6Zvz+BT3ypiQS3Y+KuMXgr58ZvG0Yvq0OX2VMVkTQ8tkdHkomlXiOnhGc9Q7Dyun74GT9qW9WtdqoYmYgdEO2nNFAOSE+7nNczIMLj4nY+UuYdtUogT6gMmyXprrlTdoe7EI059kaYVcQvyVy45qco6AwjXHJs7IUEwsI9OKLB1mcE3dNAGI0KlBHgRiKvZTx/Ttr/Nrt3VCLvoaf03T9ACnrdWqY/p8uQc109eGdy4rf+xaps+Bc20O5rpu/DUG9HX6QsC4uzA4qHkBm32hTt9DexwIWddNL1+3m04Tba8jFUwnrMIAoKf/D/bzuh/ot0wXx42ZPvdiYHL6IsDp9rNmmL4N5PTRL8IGG2H6bvp/dfvJsfV+Zninux8Kwlo7xzy35THgqhdmtvkoDO9s1kMhF3V4Z2EO5mPhndbYlcOOeTJZ59suKBnstIOYRkksbDuvTp9q856t6y6n79/8sJVU1uaYLcI6fbToQuvrwjsXhs7dAcrCGnuMuBK8hGaMUTMwck4f217095aSs5M5fZoIF8TMKOcngTYNUI9BY0l4p/aYS6xBX1W3UwjUdz63ODtQdo+FzWnCcRcR06dRgwQ6Gf+jO5Uq4mJ/te6xRxrb84XdC2r8BSUbNAtgYU7fUaUCZxjeufD3CdeufzaD4uwAn4O5isBTVSmEXNZ95c/lokLT8IAzZFadPXiSAyGruu6x+Kp32joWcnHgiQjxvPBJ9vPSZ2Y0DKFkQ4F659Zz+vhN+37x6llGTp/k8+nf1exE16az1X4e0zeW07e1fLkAbL/ktV3+KeUq3I+b7nfp7usRIZdN9v0xIZfOulwrHdO3MAaXn6e4QVtrWkGUpS9Qy5/4L99jJZsf3lsfSp0+N/BecNZu+51uH5UxwcSS81n7CYP9e6nMockkjtpNW5Yxc0obtt0xUCyLMtyuKJhhCy9xf76ihUOVemeTtZYilFzQAbeOUW59kX++K6M732XXtX++tIJBoanCz1B2T/WAHuR/j1ndYBDeyd5njm1zDM6RHX1On/O97kpexAUYhpaqfFd9lnBZVarxYz8QgTmSrd65KM7LXirDcdcReFoomPT9VdMDfTtKEZm9g6GQCyP6U9dWLGghgT6m4QF4ckwfAfrcNlVBeGdPyEVRp2+g3qlgKFNMH8MS9iwntiZi+nJUGQ9LECUu2cDa3HX6rv97GX1ogkFXudK6iTnNLR/Sba/OQxGEXLThloPrxZyHHoOhay+w0wL0uYvG5rv5AumVwdMuOxcA8CMvvppurm4naW7w2Ves1L75/bYGyfs+eadV71QKmpTV6euLXOTsbxkyfeqwu27CoArvVPVQttw8qQ406nNHpY7nTrK3H97ZmTZdzTFXPkyR9YuYOvdvvtB4PwTNhoaSjUdWaRVLC2wgOqdcxAqtpE5fybslB+Sv6wYuas+BCXYtaMj0LVSFysMQy2952iUA+GfTgawcpnDfgz7ru1AKuThREwDqGoEuvPPYzsLfb2/5k89Rvp2Qi/3bqXey49dq3Wf6tOqdYXjnjnKxNS4MD3BRKm4+0WP6NCUbHNBxjJsDUVSYZOSrDR9bJ0o2qJg+p96Zk9MXgr7CnL5c9c47blS0CXkyvw2r1/a6LKZzTIfmzo0Q3qkWcqmAsy8Jdp0DtpVLrZsAfZ95z/z7DE3K6SvJo2QZ6W0xfcaYf2SMucEY84Ax5m5jzLuNMc+KtjHGmDcYY243xpwwxvypMeaZ0TYXGGPeboy5v/3/7caY86NtrjPGfKDdx23GmF8whO67P91K5skNQueftTPIdRszN6n1g4+CtfrGJ10EAHjxtRceQk5fF96pzRv6Gy+8CgDwimdcqs7pe88n7gQQFHhXqq/NltOXEe7XE3JRnrM5X2eaMMcSE8M7octvsz56k8I77fesP1r/bgf54bxlz5rGGjR9HrqA6VOXbEj8m/MtOz89IZf2XcqGjMdM39FlhT1NTl/A9O363GwW9LXhnYrafrGva3tHWWg8BEAOyPAlG7o6fW5Y3Sffwx/4zN0AgDvusyUD9ExfXxBFo94Zh3dWfoFgegd13eBg3Qh1+gjQ5/MYu7ZVTJ8r4uycHIhimD4vpuKYvpzwzszi7HWqTl+Jeuch1On76mf49pomP68u3o/WVpHKa057PbBakgqS4VvE9B1CeGepSTl96vDO6DyrhVzyhWOYZY1vBvB/AXgJgG8FsALwfmPM44Jtfg7AzwL4aQAvAvAVAH9ojDkn2OYdAJ4P4JUAvrP999v9MRhzLoA/BHBXu4/XAviHAF7HHkyOkIv71DLSVshFn9P39ddc0H4+rl3lVZZsKHgebJ0+d8z2O3Z1+/iRJc45ssRyUamZvl/94M0ArCw8YNXyPvql+xQ975tmstmfIJQUZw9y+pTMU/+7/Pa3YX7dMGiuqvIiNrTzlPi5tPvgn81BeGdBfKfN/+StdJzqM33lRjPKwWZzhQ9r8sQcw+c+WRBxELFtR5XhnaGQi/tkAVDM1mlsL/JdLirVwl8IgDzTpyzZkANWf+djtwIAbrrtfgBBagN5zmz+ZijkolPv7Of08fdKvDgQ9ofpMyAr81L3eB0V3HYgjMnpqw8AmA48qcM7EyUbNl2cXVTvLKzTp/HLHSdj0Z1tWhwGrLE5wzvDcCZgS0yf9P7IBE4lprlvRPXOgpXaU03IpWma/65pmn/fNM0nmqa5CcCPArgYwDcCluUD8DMA3tg0zW83TfMJAD8G4BwAP9xu83RYoPeTTdP8edM0HwbwUwC+xxjz1LapVwM4C8CPtW39NoB/DuB1DNsH8KCvJ+QCtJL0/MWyOTjGDwbsZAHoAOKiMoeQ0xcAXZ9Dw/mu1t1KbZc3tHn2ByhjFNw1XtfDchVc253NUZy9xLa5/hUyT0apZNlEC66seaYuFHwwAHvkPrwzCmHOMW1OX4nFzWhzZkN7zyctq54X3qn3cZbjGgq5ODzAhugPcvqWWiGXrgzACx5/AV77bU+my27srWqb051RpqMr9+By+owqv/lg1QEg13++ZIMrzq4Hq3/nm54IAHj1N9g0CG2JjbAmo/Pnwzsb7ASgLXynT9ndD1oWJQbojO+q7s8TgHDxjeh7XDZhocnpi4RY3Av1pt+a9pXa9kIuRL8H6p0KIRcxp2+nrE5fFviAbgDwxzyf4ra+7YLwzhBkZwOQzAGzhOkry4aXv970AvkY08ceT9ZkVGD6tpTTd07rd2/79zUALgPwvq5vzQkAH4RlBwHgegAPAfjzYD9/BuDhaJsPtb7O3gvgCgBPGOvQVx+yL/bfu+kO6gDipHT9qr4FEDsZTJ8bSHYWVZZ658Ok1LRkYZ0+rbT7w/srrxqnzb9x5tr+wRdchSsUAjolc2/Hxh6051k9ke9tnx86p7Wheud2QIjURk5oaSico2VGq2jcVod3BjvIPWPanL4ihdno79x8294+6Xs0pPq0bRD7HLG6aQZqkBr2B+jewctFpXqX7q1qz3i94PGPw+te8ZRe8fBJ3+Uii33vQkPzSjaEOX0e/LC5iC3TF+YiskXlHUg956jdXjv2xaUPNCVRYgVNTWH4v/XrNwDAoBYiE2ETl6kAlKkkcYH0SqHeuY5YQvdM/fXvEw3DArSFULKBEnIpKM6+iZy+uz5BusVMXw7oywFevU7oXVzbc5VsKGHALn9uuHO2E0GbWqZP2La4LuKGQZ+k3uksu+/MOZNAn/5+ywF9/xrAxwF8uP37svbzrmi7u4LfLgNwdxPMRNp/fyXaRtpH2IY3Y8xPGmM+Yoz5SL22L5p9cqU3Tko3ylX9BnZiuqgMKqNT73ThMNlMX6HaXhc6pwMwewc1ju22oM+v8ubd4JUxxcfBmjva1brGX95yDz5954O6thCFC2p8pfdZdrzhdpg+10YvvDNzUURrYp0+8HX61hFo1PgCwEVnH8EPt0yGtjh7idm5SsgmtN8X7DOnOHtpjp7WrJBLXnjnfhTeqX2Xhkyf1iQ1SNo3Du+sdErGq7r2OYhe8ZQFym2BdHevXX/thXjqpedMeLW+HmT32+ZLNtTZTN9QBIav6fiZux4Sv2eebXds2eqdMVu30IR3Rjl5DhiwFretKs4eKYeqcvo2UKfvPa/nfGL1TRXTJ4R3/qPb7OeLX8PvJ8dcTl9WeKfA9HU/6vZlDHDNy/L6cCrl9E1e98Eyq27/o+qdLNMXiiyR7R8G02eMeROAlwL4/qYZLBlJZ7IZ+Z3ZJhlL0TTNrzZN88Kmaa8Zl1sAACAASURBVF549UV24HraZdwAJoV3au6zuumEF7SFxjumT1+nr2maouehDoRcKuXEMlyp3VEW5nXmzpmt0cT7lTBcH/+yzR38rusux/0niMF20HZ/Dct9R/lKJRvyMd+hmRYAuXU/tfaAwPRVCrAbq8RqFU/D58PW6dM8m4qGht6J4uz5O80BrGoSvHA/UngnL+Rit3Pga1EZlTjUnlCwW+Obk8/nfIF+eKdmDAjDOz3jxTJm67pXIH2pyCk/iMJptTVqB0xfxS/81U0jMn2a8xZfa6bfUk6fSsyrXsk5fUx4595DwO5ZRCMjbWfn9CWKs2+tTl/uey9knADVqHn7R+3nA7d33x052/ZdU3cux+IcSo3FCfThv0vBkyas1oMgLdO3pWK4c5qY06cM70wxhaMWgj53jTcI+owx/wrA/wzgW5umuTn46c72M2bjLkHH1N0J4JIwN6/998XRNtI+gCEDGPXNfmoADNCtLucKuQBWfU21UtsONksX3rlFFUtbnL07ZrtPnkVxPl0hZV2HQsC5vQm1NSfLnmMmPmd0uCL3HWPHdhdFob2sSf3T5vTlmlSnD4owyyYGfdAv5sxR2F1rcVTSHExfho7L1pjNrr3uXeLACJ3TFzF9C+VC0v5qXQTccmr0AV2IZW7JhjC/zYXGqnLjAgXNrzywRwtq7Q/CaXXAa5DTp1hUiQu7dzl9/NgZs7pUTl+Qf+9MJeaVZPqI9/h6vwxsrEuKs8dCLpqcvpR6pzanL8NSL1LGbvh39vMz741+mCG8Z8rWBUyflNOXXT4gY2nZH29uOJR0X5SOQwVL5Mz1k3L6tCVV4vOkuW9e8tPtPqrNgT5jzL+GFWX51qZpPh39fAssYHtFsP1RAC9Dl8P3YQBnw+btObsewPFom5e1vs5eAeB2AF9g+qllFLp6XhlMRnvRdpa68gMH7UtxWRksK51yW+mkLAwj89LubNmfQHLbDfy5ojILxSrvYVs4uPtcq4LFKT6Erv9S2FWq/GWbXzjsT3TyFkUUq+LBdv3wTsXChJtvZObq1tGiiMa3CKAhnquUM33sffbm93ey5mVkpd57VddDIRdteOeyY7004eYlTN9+m9OXY7GYyk7Fjx9N02A/ULLscqtZ0NdXwfzru/hQ94OVi1Dps4zsOV+vI/VODdMXgb48pq9/vZi2PdO36L+PAAXTF4MfgGP6SguFx21nFWff6X+qmL5QvbMwp0/llznh/9z77acYRrvhcXc1R05fYLlCJgM/BgDFTKOSZbz3C+l9btUU52yM6cvquzK889yrOr8N1el7C4C/Ccvy3WuMuaz9/2zbj6YB8GYArzfGvKqt4fc2WOGWd7TbfArAewC81RjzYmPM9QDeCuB3m6b567apdwB4BMDbjDHPMsa8CsDrAbypmZj9dKeMDXNxYRvtimlBztKyqrxICGNr37ZRh/aUzvnrpoEb87ViEb38GzfoKpVcOhEZZehc/PcW3wn98E7H9LG+83W0Mvr8zxKLww1VoC+uO0daKrxT7e/uceiuQU/dVrkQVGJN0z9f2jBiydhb5a4H9oJ+6NpInVt2N3Xdne8cAAP0c8xYXwee8pm+fJawYyjb8M6FZSiZ96EbK1xOn5bpCxWYtXawtgDdM7PKhb9VXKfPGHrxbBWMPUA4/vA37E503Dr1TqFOH9P0+qCfl6fJ6ZsF9OXW6XOF4Vufw87pY61EyOXb32A/v/ffDvux6XEgDqfV2FhOn7rfOe+GBNPHtn3y/pF9TlkBo1diTT1k+grCLbPNKGtptca8VV4Dq9j5RwDuCP7/B8E2vwTgTQDeAuAjAC4H8B1N04RLia8GcCOsyud723//qPuxaZr7YZm9K9p9vAXAL7f7pUyTSwJ0BYGBnJIN1nYWxteMYuzADyRGrThXOgmNw9cAXb6Um2TsKEN7nLmVdbUy4iGSgiEL073PyMnljP2weZCbPxESQ6QtX+DGXlUoFBJCLorQ0ji8Uyt+Ey6KaNQFSy1m+row4nzLyunbtpBLcL41MvzAkOnT5EevapsbnS3kUsASxuyRhrUaKJZqwzvrfk6fxsKi8GHbbIh/nNO3qHR1dXtMX0ZO+U50rXNz+nz0QlZ4Zxu+R4E+QSxCY8mcPhL0Saqjqjp9h5HTB/SAgAY47p5tP8+/Or2/TZkP7yxg+kSwqzyPRyJNDCrUMcH0lYwlmlxCyTZdsqFedSvLXaPtZ8ZxGwN84UPAfV8a3y4+15nhncupDZqmmTyDLRP3hvb/1Db3APiRif3cBODlU+0NrQ1VJM+3X8Fzq/ra4tPoJmZLZU7Gp+54AICdzGoV50rnoHUj5KfRIgBdToZb+WRDe37q5dfirR+8Ga981uWtv27A3vZkNLaYteKZPu47xmweZJ5vjsUgRFe+IO+969iOXqgjNGHb9jPM6VO131sU2e7CRG/IVrLwc/VHz/SV7SeMHjDGKiHToC8CQIvKstF13fRKdoi+EWDU2t5BPku4ioCEhjGLQyy1JRtWUU7f9ddeiA/f/DXKdz9RIJ3NqxPVOzVRJoJ6p2bcjRnOYvVOpum4bMJWwzvjOn0KJqKJfIvr9OXk9M3B9Cl9gcQ53zTTVyDkMkedvrMuAg4eAa58vrxvpv1cpm90n7mmvAe090z8bAF8eOc139SptTrba7mxt30P8DN/NeIcn+sN5vQ9WowFB26w6dQ7ddLuYb27nYVOcvvSc7vVHFejKaumFoD7HjlQhTQBoZiKDiiHQi5LZXjN8SPLnp+WRYk3zXkl5IZahm5+MknuSlTvzOqFE6rYAtMnNKHNefV+I/uULM61dW1rGXzn/vm7H8bv/RVXu9O2D9/pwyzOPkd4Z07f5zvc6R05gF9lAgGpZAPAAaBi0LdaZ+f0rSMg4RkzAjx5oBtETAC62oYhcHv2VefRhdoP1v0SFxoxr7pueqI9ru9svwdMn5LhBIBLzumLojCAUVbvVFiqbALFmDWZCn9h22FOnya8MxKqOOw6fSq/XNAnMWbIS2jXmgMByxz1zhnq9O0cA57xvfq2gQAsx20f4kL9FIgrHejE4uzsoorUdvvdI/dw7RcyfacF6NNOkv75H1gtGi8ioAwD64V3KussNQ1w0dn24dYmpMeb/eN3fRK/+O5PqnzDnCX7Pdl2kJOhVW7rWGnHrCpBH73l/Nagu9jumvPhhuIOs6y0tiFr0VqS/bc65zXeA2el4Z1dTl/ewN80fSGXbaVQ2tOVySYkLKfvcxaYnzK/8BblaukAjPHXWlO7LS6boLWwQLrWOqYvAqsEePJlE6LQUHb4OVg3nlkE2rIJ7Ple9Y95R3G+3bXOZvoaWb2TiTT5Wy+9BgDw9dc8rr9PRU5fVfXfRwD5bMY5fQ48MWIqTV0WppYK72TajpkMVU5fSr3zFM/p86AvFba3QfM5fTnhnX5yJf3I70fyp27ymH3S+KZ2ebgzvkkrLdkwONckUB6sDm8up+/UNx0Bg4da6Xv34teHcjX+5b9cGFVCeR1MiBfKWkfS5Pe3/uutKt+wDlnXn2lb1SHTpwuvcZNJ1/ZiixNqZyZ3AA0AvjYPUsZ8nHfc3W2CENt+zLapYF+b06c7513JhqAf0IfTVpnXuomu9XaFXDrzE8sCEJbT923eX2thQr0wfKj8/qrPWrl/Mv6lTN8qym/TWJxPvmg7zjB9DvR5ATJl6YJVPczL04TT7iyDa7VwTN902/6YgzwYjTBVXJxdw/QtKyOymRRYjdJAgHB6xkwOE2UTKMZsDiGXzOLscc6S2w9TakJU79xmnb5c1xToK9wvY7Fwjsoc6CsI75wDoOXk9CXbLT3fGe9mds6w/zBw8j7g9o/JbU6dy1QoFWXRuT6TmT5n7MT0O59pywE6xs0ofG073XlfLnTqnUBXALoTROEu3CdulZSOOItroGlFSepgtbUL7+T6Xft7tWMZVUqUUR9zQtdK1us6XRDFKm9iu7Kcvi0wfUIHq4wIl5zzPRBiQXvuybbj8E51+0HbxugUS0sHqhjoAofA9M0EcpndSKG8KuZp3RdT0TB9+2s7MS0RY1kWM332uHcUofIHvsZrHmMW5mU7X1Y59GBde3bP9ps/3/Ex+7bpCJeEeifhH+bpSn0a9ZXCOzXz6WROHxtiGdxjGhaorgE0CSEXUowlm+k7hXL6HuAWxK1vAvSp1TtzXrxjgJP0LQnvTIbF5jB9igfk0ViY3YG9W2/of696MSSYPi1gNOYx0Mc+m0+46Dh2F1UPAGkfazeQ7C50BdbrIGpDq1j3w//uLxS97FvMgnRCLpx/X8hFF96JIAcS6Fao2UH/VCH7u5S+Eq4vzz77lYdw02334ysPnJxtn5K5HvfLJujDcY3Jyenr2gvb5tU/h6BRY2Gurr/WW2D7PvTZr+JjQZFsVQiZYBYo653nEnJhTGJR1MxTKCyieJfuRfmAWjuIREk05saKnNIHbpudKLeOHX7ic+bLZBAXMlRvdu0CZG6cUORcBVajcg9+3KQUOPvvg7/8+W9rv58+afFipf23/aR6PmDbqu77KYuZvoufYj8vvY5otxUGyc7pW/Vzloyxf58ROX2HEN4picg89bvyfbsf+T7kHmYR05e4F+mBJdHpyfE/3r/i4FPAXBPeme0bA+zHmD56ctg0TS96wa7q8xerDsKxltqcPgRhki60RxEemmsxC6LO6QtWTBdK0FZHzI+bbBTlxm3JejXU/Dljfefrx633ngAA/NGnvzLfTgWrBy9xe9ha5miuOn02zJLz9wsb7Q6uvfg4LVTh/F3TWqEjyT74mbuz/FQhZIJtOxQ4x3zqTyYQ2FvJwiJM1ITP6VPcG6HFjNm7b7wd//njt3G+EdjtSh9M91tSk1wYw4d3xqBPUfogVFoFuigVTb9z6/TFxdm1TF84B7zknKM4suRKJcXiZ0AY7UHcp+uDfMZMqgX2+JcCR8+b9vXhglJOHwP66qE6IRuieSrV6asUde9K2LZSk0RkLn+O/Zx6SKScvrnCOxn/e252jerbLmb6Mge5VcnC+cR9yRxT6t5mr5cJzvWZCvq0jMK6biI2ISN8rXVfLowKtIUAKEeFLNficCq1emcw8Gqlwhs0vdXSKsO//7feSpSc4/BO9mYRwzvJdlPd3TgAdmNI2BfloojbtlsVJxcH/NgXAk6+7XU0SXv65efiivOPUb5dg+75aPtUcK3/l1/7S13brbkFqaJQ4KycPp1PeF1DV+ZZ64Rcuu90Qi5NFN7Jv0tdTt+RghDNMLzzHX/xJfzm//dFyteOPd07UFNzTlKT1DB9MWOmGX/W9VDQhF2Q6XL6wn4rSk1EgNPlNDL3axOJwLh+MCyhjzzooz6730lvtIIPJUIu0f1ZLbhyDw5ghcW+Kw3oE+qQscDNA5jDqNMXM32aSd1M4Z2DbZmJR8TgAEEO5tS9IjF92slOAUP6K9/YNjkj01caIbX30PjvH/rl/H2nBje2ZMMsAjcB05dxribr9D2ajAUwdRMnZ2vD1zrQuLOo6Jw8wIEI/SpvylixDClUxfaHnFAHoE8rFd40w3BB9z3rX2o5zBPQfx3qhVyGW26rDECu+ddKdL1U4x64iX9sKaaPbdovbDhGWtHveFW/EzrazvW67NxOUt7dq7lt2/eZ3m+uQ2WULUUgoBByOVj1RUlyQF+JkEsIvJYLg70VD2DCAumaIucr4ZxpAP7But+2ew+zjFl8WdmyC2JOn0LIxTJ9EqvLAbc43HtRcfeZ+D5qP7mcvgM5xDJXyEXNts2U0+fbJpU/gSHT16yHTNyozcD0aX2BDYR3EjfKyVarocfWBffKYoSxlHL6cs6B6KMZEDKYvtT9VBreeXJC+8LVxctpO2bf/ffuuJm5fLvtRU8Bzvs64MS9rvEJv4jV3VRx9keTaURJYjZcM+Hp1/PiV1pdH0OWENgO0zeo01fpgFcom63NRbTsZn+iYr8/tQGQM5/72f5dAlZP9SOOcz8BF2KpYfrsudJGmch1+ngAUyIY5H3bq6yOkOE2E+2ai47juiuDsC3l4kJsFijrvee6N6+6YJpdFRUdFUxfCjxtB/Q1g1BF9j4b1pzT5/T1jlux6BirjrpzxpzzOLwTaIEb8YB0qQXDaI+6biZLrKzqPuDUCInZtIT+d0uyZFAsftb/NzOpjSbsGiEXCfQtdkjQJ6hBluT0uX2pcvoE9c8pANPthNgm5RdcbNVK5SGqd77vf2v/ITB9U0BbCu+Mf5uyWVbVTyGmL7tdwpLhv+xxB/fo32vFYH71W9qflCzhYzl9OkYgDlVRCnD6yeGi0rE3IQuiLX0gGbumE4tkaIFXL7zTCwBwbYe17sI+0Lla8d9bRE5hWx1DSTKcE/sbs9wFy1LzE53gO30dy2bAKHNtu/ZCFh70SfMFv4OFDXYyHoekdvfo5m+2g4g50i4uxKZlZp1pWeh48/e/7psAcAIpPrwzmszTtdvqWhT3oEo2rAtBX90MRGSyFTRdbhwBBFaCIIpm0TEuzu7KRbCFyuMwyaring/P9IXXSyEiYxcch0wf82jXwrtoUXE5fZIwlOrZHOT0aYVcondoteTKJozm9DFsXSRA4/aVndOnYDidzZHTp/KdqTi7NFLSg34oNEGGd4r9VgAvv10BaAzbnCOnj242seHUPXDhk9kGhra0iv947o9EbSpyMpL9I5k+f64XGaq4pwno0yy+AUMJaDuGaIBbt3qoWeUF7MSqq3fnJiqbl66NQ1WycvocYKzcd1y/4/BOd+q3KeSSPRagE+3p+k36nuq0nmD+tdK7XrrwZ+/nRA/I7aU6fRrAGU/SFopcRLdVLHSkDQ/NsVvvPYE77u+SyyvtCy2y3PIepQEHFx63AyKzmzrB/rALYKuEuAfzLo7r3WltVdeDUhNsrdV1XXugB3SlDxj/tQSeKv5aH0QMpQdeuaCPDO9cewGaPqura7v7WzN+1DVEpo/K6WuHt14qiIaFL83pi+u20cDrEIVcRPVOhYANUDBwRuDl2PkK19r6DiYKM6y+5qz0+nNG5PRJeYiaduO2c6yU6XvCy8ra19hTX9n/W3Ps7pym9jH1fInXRHm/u7YWS7uwpLTTAvQ541mrOGRDN+GpgwWlSrHK633bf/vV6QL1zpMrDumn6vTlMH1dSBLXx54CJgLGjPWPHoo3vOuTnGNgua+0JhhHtCCmQYNLzjmCH33x4zNb3755xgv950Ob01fSdj+0lAecsfBCRYafWd/+87FNpg8A7n5oz/9bu7gQmzpywZuS6Ru0235P7CaV00eHd0aMmSa8071vcwqsN02Dg3Xj6+sBbb8VoiRLgbXi6t0N1TuXVaUQROnX2vPnjGTbBrlxJMuYqtMHTD9fTdO0Y88wF5FZaIkXeF3bGqYvzm8GSKAdC6JsLadv1W8PQFFxdlXbAtPnQjpVCp4zMH0/8tsKX+F8dz/q+5LlH95obHhnjfzZjdtHqn+bZvqCbc69IqPdQwiHSgr+FJRs8Pue8PW/O/Cxwwk7RXZagT56Mh4lpWsUAp2/D+9UTFRcH0MRGKAsvJNVDo1ztXJYGC/kUnXfsW33hVx0/nEn78yoVXdsN5GAS5iJ/kHfK40NIfun3/us8CuyTfmFlivjz5qUIqAOF3Rjr/J8pcI7tWxbGN6Zy8p2Qi6cf4kd3anwbU+7pGvby8Ln7S87p6/wWDXvlC68sw8ENLlxffCkyI0T2mbN7X4ZlT7Q9TuOMuHehZJ6Z1XxeatxLqKm3l1cNsG2zYFdKSyVZRndz/3IHP7ZtAu0Q9CnqdMnhndON410kfNc9c4lqd7Z7j/Mn/NCLkw+oSTkwub0JdQ7w35N74TcTvILrvV5VytcE6BPMwAhsW0O08eG4zYC09f9yLVbot7pLIvp04cmRjvYsh/SoM9Pdqaer7G2p/oVTc6qBc+cBHaagD7dJEks2aBorUE/DEzHEnZUX7fKexjhnfaTnZCH4VSasCDbdn/grchV3jnsVc+/EgBwztEdfN/zrizal3aO2GAYOfC5u0aUowI7rJy+DvT1Jzrq4uw5dfqinDzXD81zbf0dW6cPc4xzXkvyN1mrozFX23ZsuTl9WoB7/4loAqrotxTeqQF9qyinrwuV14An/fB3sB6ybRolylRYKvN8HSTAE9t2nDuqqW0YCnk5Y5VDZbDqGDPStyec0/9tzOKavICrBznp2i0iCWr41PNVr/uTQ5a9kXyBNpxLw/SFK9vKkg2xkAstInMK5fSpwvZSTJ/BKc/0SXmIQHl452Hl9LGWbKNk8kSybSUhtdm5RgULCoGdFqCvW1vgQUgVvRw0E54mmM1rxCLaTgbF2dtBdwvF2YdCLoowFfSBsla9M8yLAzpAwdfpy7eFMbj8PCuHf9UFx/TALRAC0Mr4x2GtAPDwftnq1qZxsnuGwl5XxmQIuShXxTFU37T/5s+3ZwUClVl9eKf9e47i7LQN3keuT3m708j497uh8/k3f/zZnq9mLEsyfRnh5kCYI8YUC89n+pxvXC5C0+8QwPh3YSZY1d3jEUOpAJx1LYR3kmOfdL7dKZjq+5jyJ7O4IIWlsotBMtPn2GxyUisBr9zwTrPg2BEJeKmEXFIlG2ZQ72Rsrpw+letYeGeh5Qi50OdMYvrUkxzd9pL5PiiBdreDjEYT/c7ZFTt4lYZ3jp3ryevgfg9Z1TMU9GknSXW0+lcZxYq+z3mypsnncG073znUO+l267JJbR2EJXWFedlz1n+mHFO4DZEMy8qa3t9af+fuQQzbb/DvklPFpPBOzbX2Phltj9XF0viH97imlmTY3jbFhmJZedXEUjBNHuRLn3SR/7f2GAYhsQpfcTKvYq1SOX1E217IRX+XulDIGHixwRolTJ+U08cWGnf+C+GcUeyoyPRxi6UpsBr+NtZu2FfXLsCHd0o5fZowYCk1gXo0m6bPmBkDX7NO6wu0IZZknT0gCi3V5PStBREZsu1UnT5gCzl9mJ/p0ya0i+qd5Muh13eNemfqONl+p8ByBlP4qGf6ptpMqLzSIQDCufY+7OJAcK7PVKbPm2JVv1+cXQNA7GfImGlrmMVMX0lxdtZiZUO/8Ef6DyYriglaLOGvzekrmVD/zsduw233nQCgD893bcdAgH6VNsPXDzvRPCys6NeSemOnvji78wP4c+7v0bB8geK9FocMspNSYHjc2r6XWB0xwv7cFzB9OWkkcx0rsx+vjBiBkNx6d5pQRc88Be/fZ/7Ce/ArH/j8pK8rrRCrYLIKzOs6CrH0EReM75Bl1IgVpdhRTjkUAmPGFmcfglU2xN8B2qrKGz/imryu38w5SwlL2f1OuqfZutySDTTTJwi5qIuzZyqHjqp3bjmnT8U6SYyZ20fpizHD34d3EmqQmwrvzDGNoEkp6JtN3yCDnUwxfSXhnVO+/ncTferstAJ97C0wzOkzitDQiE2odMXZw0HID/hbmFnGoW8da8WuEkcFiRVhRZZt6/4urdOnsd4kMvPF1hVnVzKUga+zK86fLlw9tc9NmjTRUee3CeMQY1I4le7ZtJ/uuVqQdcSA4XHrj7mUje7+9uqEmfvTqHeG3da+h+KtPVAmei7V6dOEytucvrzi7HGO2cIYPLy/xsmD6UnpSmL6FvwYsFr3lSjdrc68S8UwyYpns2MRmSUJvAAn5NL/jg0tFUtNkGGtEtOnAV5hiaSw31x4pwT62v3S4Z0x4lwWCLksuNUBt82sxdkfhXX6VEyfkEOZ2w+pX4z1+q4Ix02Gd2YMAsz3Yh9i9opklJ1d/my+Ld9Gon9T16xkvp0EfdHvm2g7FnJ5jOnj89OaZsgmsOE5MdbWTCydv/GTUjfw0e7Z5gbXYXgnN2iv6wa7i+5FrlEtjQvk+tA5ZejdYVg4uKsGfLQM58j+xuzkgXxTbJoBlC6JA7s8SLfX2wTfcG27SVbQttGFbTsfux8eRMSbbTOnr7EvBf+3NrQ0NlW4+ozLCN1C0vS2UninJlR+oIKpCFWMwVMnKsKzVjGAYcW44n4vFG1LYZJLtvxA3dhQR5Ed5UB6HN5px808sMrW6XPnW2L6OMGgIUPJglWPnaKoINv2pLsMJDQhmtk5fa5O32Hk9I2pd2rCO3NssAylcBUAuv9N8Y4Ut2X9JdA3BSKE8E41UI0Z0tbu/YJiHwEQAfThnS9+TfA9e74OYWIo5azaL9wGxE5S14dl+sL9nKGgT7mu0TJ9gb+CTfDhncEqsS68Uyr2vQ2mL5roKCa1+yv7cO4uIwEBuk5f/zbv6ixx/nOZlt202wrhnRqGMl4AI30fSbAOm88RdMCpkOnLaVlaWVeUU3Esuq+1VynCUv0iWp/p27TYUFxmAlBOLAUz0L2Tur7kted8NeHP8fsIsEAqVwXTM32aIucZgigd09cHT+XqnZxv6AOALpvgmVUzbJvpe0rIhWpbOmfkoqMDXnJOH3fcYningumLQ90B8nkXC6yTwE30rXQ5fWKdPqLnSdB3quf0jTB9k6Fzwvn2/dC8GIVtc5g+NgczGZZK+KbadvZbfzPDXzEb//wfj7c/ZcXhodI+ifsEGN4rdHjnHJNe032c6UyfJncoXr3TsgneV8EmAI5ltP/WrPKWWh0N+hrAKYE+jUJgHTGr6jp/M63oZL1XAr8uvJNHfQOmj3R99423cxvObK5/PZCumJh6M3qQLK6sG91iziICqzxo64MvL7K0YRpeVAhUgCfJNDl94Xba5yx+DjThz744exTKq6o5J4AnTZhkCLTZgt0d0xcJuZCnbhXl9GkWFyQBGja32p9vqU5fJtO3MFzpg5RSK9O2zweM7hPrO912I/WbBKvxAi+gXKgtzukT8oY0YXMhcNPk9InF2RfAmqgR2KzRe/mH/aCOu2SsjxkrJeibI7yzhOnLKbHR1MNJxn1fsp8f+CWu3WR4p2bsy2D6fv8fKPYvWLKNnCVn0icZ3mn6v6fs1huAm/9E17XYegD79ngY5QAAIABJREFUDAd9KhAST7KU5y4sX6ABbaFog89r2ALl1YV39kEf07QbeAcy5WzoXMSsalZq2T5qTL8//TkDujDHR5O5Q4tX9QENSLemrdWXWllnz/e6aXoTNI3YkC8X0f690y5wHJDKiLlX2R9zuC/PhOfd+Pk5fVnNBe22+2Ry+hL5aey70DJmYZijojh7C7zCZ5MNV/clG6J+s0IuNqdPYK00YZIZ72GpVp7mnMX9BvjwTolZZYVcJMEfzaJhPNYDCqA8wsJz6p2pAuuZOX1F4Z3kpBSAXJxdkdMnsZvuN9ZmyekLz18m6HP75TtR4C/0nSn2Hff7wTvtZ8ikTe1DGsGycvoUTN/kvqYs0cYm51ylJRuK2u5mVvZDsbob2OkB+pTXeFiyIV/IRbPKC/SZIzavYQ5z90Yc3knlRbgJscmboA3UUpWgby7LKRgedlErsCGFOW77mLUmAS8JAI5a0z/X7BHLdbF48FPHTF/F3+O+FEvr7yb1rLJu7lUV2YTotzF7eG84EasqRShu0PMSMZrePjVM3yBMkmtjXdfRIpT9ZHP6JPaHaXslFEi3KpZEpzGs06cp2SABN22tvF4OpeKcxe9w1zZXakK41iRbJyp/qsau/oIj0EZJMoSZFG7ux4ApENEkQB+b01foC/TDO4uFXMji7M1a8D0kpk8b3jmXeudgPyzTlwH6xJw+RT1Iqe1u57y/L1nQ3p/7Dyt8M22uuZRmfuNDoRI5fZsIOe0ab5t6jOlT58AMQYhCpCJiBIzRMXV10w0c28xt64QT0GubVUALfZ0/L+SCwao623bY/lym21uXE+KOILc+4Ry26QUCKbxTm3vqCnXrI2Pa+yyuoUn6r2t5csics47htJ8ufI+Rsy8x6ZxqVDBd6HVomjIy/fDOMtNcb8+iDJhZkjEb5MY51mrafx2Fhlp/7py5RYCdSDmUZvoihlJzj6bUOzlREgkwVr3fxiwu9wDw4bjumvTb7vY72m8hNFRbpy+OtqDPWWIRCiDGbP8ilerdMYxZgulDM934RoRcFHX6pHIPYb8om4Hp64V3MmGSc4V3GuE7xnJAn8D0ZYkPFJpr86bfsp9//E9n2OmUJTp+9LwJt4IDTtXp057z/k7JzaLtzmimrzWN8ltfqIIXi+gmh9Zfo2IJoCfkwspWO3vB4y+g24ktnmS5MZQNkbE++hVm10Y8kWfbBuYjzLvnUnO9+gDffUf5ohmwi6X4VZrkz2l+rtID+P3fmH2Y6G/GunCq/so6H7bdX9XXiGTU0YE7FulAK+ubadkKgYIZaJRWg38rG2yif2tyXt07s8/MKu6VWAWz3Q8D0lNMHwPcJIayaqM9mONOqY7qmL64MLwCMAplLlimrxJAH8X0JdhRt1+q30IeJFtqYsD0kWA1tdhpf5tyToSB0cXZE0wfMA2+xsomZBdnV6h3ljB9RS/SEaaPYWbnCO/ce1AAigVM32SdvhHVUdoEoOq+pq31X+3Zz/1H9N047+vs5/Iot32qf5c8Q982a4cZ3jmwM5jpc8YeftNgMOjnysKzK8ShebbNrXaS/o+/8CxcmVnnzQ1gnZALzzJKUvqaosDJ8E6F+ucclvtq9ExfTnhnvOh3GDLDCuvCqYZshOY+N0Z/vtPhnax/UyC60LUHdEzOtpi+rIllwmy4Omkh01d4qJpFEQk8aQB+XO/O/ZPxtiGW/aHPAoFpX3ePSsqhrAKnDGAI37aDvYUNwwnQpIRz7G8c2JXDOydd5Tp9JNhN3SfWd7rtuskXcnFgWhJZmvRPMgKFQi7ANGhsCoVcSoqz12tBBEZbnB15QGaU6SOul9imYmJ9z83A1z47PE/sizVHyEXK6ZNWbifblrZVDAhzhDR936/YzwufSDrkDlhjfuxzPWN45x03khtG1/VMZvq0RbPjkg2aSdKQYeVXeQH0atap1Tub4fuUNTehGSgjknkRdvv+oK0J75SKfW9bvbPbn2JbaeMChrJ0Yr3pUGBXH/DYzlC+Ooc9AvhnQyxfYBRCLtHEVMOkuy2cu2dBNpzTV0fv8fDfufmfNlxd/2xpWyu5F8V8KcU+V1FOnybPayWWH9CJkoTuXb07BjzVIkPJhnfGAjRsQfuVEGLpQBhzi4vhncp8wpwQTQmsWn9+7BqEd5JMn7QI5WzSO1XPq7Q4O0AwfS3oEHP6GKRcUJxdzOlTFGffVE5frpCLBsx89XP8tqIJTF9OTp/WUudcdS1mAH1HztG1O2f+HHudp5i+TU7Q/L5N8HmGgj5nujAwPfgBEIDtFrip89Py8ursdsNwQdZ8Tl8kYMPl9HXbO7N5EVzbrn5a2G64X7b9UssJu45DNCuju9bxhGMLmj1F9h9vsHLPt993wn/nrzt93O05U96qsnCCbkGllyOmCJ2L23ZM0P6GSzZItQn9b4S/NFapwtULmL54c5P4XjJ3WmMgwPhKhcY179IYeAE2ZJJhzOKIiV7bjBBMzPQpxIZiERjXD461arcXng8GrEoqmBW5uCCFpbILG1KpCds2edxNfxEJ4MGqX+wMCRh2DEnV8yoRcvHAbQr0CW3PUpz90ZzTlwn6GF+mX4xJ4Z0ldfqYc7jaB/Yf5LYds9yQ1v5OdJvnXpei1crEYk5RTh9rjzF92RaDvkrDJvhB3/7tooQ0gNOBCB9eo2COcll0ebKinRB331WGZyjjwr76On3zWE75hHgcMYZXegUa4TVWdjSbDg99xuXn2s8rzvXfaZmn+D5leyzW6VP4x0yfJozYR8S0f+9uLbxz+J1mUUTaxhhF6DT0zHvXdn97Tch4V7ut+44GEY0DEXnRA1JOX1Xp2u4vLvR/G/WPc/rUTF9/yF4sdPUFZQVNrt9RRCwNOCWmjy1Lkmb6uHDcphFYXRowDhdkun8TIAKQ2Toqp2+dz/Q1Uk4fGy6IBHBjw1IL1TsPLadvDvXO1Hasfy7oKwBs7/t5+3nP56WdK3YUABHXr2wrPd9aU5y/qfDObZZsOKOZPn+fscArGoCgE4EBOn+jGDhtH/v5gAAPnhphtZU1abLC1vOaQ8hFGvC3UZ9QMg1wioYRVQha6ftYsk0zhReevQsAOPtIt9KrKVXxR5+6C00DfPFrj8xUp48/37F6p1uYoQoxB+0BXegbq8qYqzArMX1G8T6TttCUoLHt6Zh333bEEnbDHsM8ScetFQYJmSOe6asTjFluyJ8KuEW5iF2t1klXMcSSFRJLlchg+x3XwAR4xkxS72RzGaUyFbZtnh0dhvLqrnWs9B3+lrRkGJgipy8GXmzZBSm80/WFLs4uMX1EcfZa6Lfb11pTQoDf1NsmmD5jyufxm2T6RBGWiBEas9s/Zj8fuUfYteLAfVsFEx4tYMydP5ZMyqRyKMB2wjtje4zp4yfEVr2z+1tz7uoIPGlCyIAI9CkBo2UJ82wtTLKsHD6/4hmHaPJCLn2WTZN/Y7ejNqNNuz8TDfqadaj4/bKtSJFck3I/NSzK7/7VHQCAj3/5Pv+d9h1eRUyIpoZmL3zZTWoZ8OTvcevj1TuVTN+l5x7BxeccobfvQqe77zTRtNIzpCvO3uU3a1nk+H7QjNmyQEcZS2jbzmP6tKUPRJVYEnz11TvtJ9fvYVgq22+JHe1y+rjjlvLq2JBW19fOl1to6NIShkwfHd4pgFWNom9vrsDqB6TCwOjcuCaf6ZPUOwE7UaWLs0e+i4I6fTSAwQwM0SEyfcm+s6AvQ8hFuk8059CHuEjHrrkWCeCpMu3sNtHGJMAvuMdS58uveD5Wp28r5s+3YqITM0/sqYtXHrXArUG38ugFtTRhjpmoT5xcggtrldgIlZBLJJyjzYOcizLPWeCJz49GWMTntoXf6bsQ+W8W9UkTHfjrNd12GAqqPd9SGLExusUcOdeKAX1te+3fLoxOW5z97CNLHxrKmCSSpBGmkjZhRS6cv9GgzNA32N7WZuQZYak8BxtmLy9g5QMvoAVPBMCX6sYtFIsLq7rp5adpWEKR6au4wvBS2QRf5oJk+nJVMN15XUYAHyBy+gSwCmjy0YclGxaGFHfyY6bAwjMlAAAZAFEP9gzqnWLbucXZNTl9qX5rJsQ5gzWGYSL+t0zQp2JTMkFI2Jb/N3ut6yJyTWzb71sxIIR5ZsW2JZCt2qf7PaXKu4WSDXF4Z+a5Pi1AnzOeEZBU4zjfeMJBh3sEbcdMH51LE/UbAK696DjlKtaXMtwkKRneSTN9CZlyRVjrYVl8T2nulXgMgsI3uc8Nn4tGmNT6f2YsIFo38tkSgADIhQnnH7OEAPds+jmaY/qWOtCXa65rcb6s/Y0HIc7e9DeeowLK4fH9/Ds/wTkJbR9ZBpNEBWOWE2Yv36MOeE26DwqkO382Jy9sDwhDSxn/SL1TAxilovImv74gG6VS142YWsCes3H1znF/5xuzdfYe58auQb/Z8E6B1e0Y5QnnsckhxXgJJQSKmb5qGkQ4f7E4+xaYvvCd93dvILaPfVMTYQKkHzbTF5qvqzh5oyX6DWAnr7yXt4fuVGxs+p85ExU1iMmdDEl+ZNubKNlAm5+kBF/pz8FpBfo0jMCgZIPCF+gGMH1eXsf0dTkVXNtSeOeTLz2b9gWGq+OaMJf4nPFhqXGIpI7pmwvo3HX/SQDAf/robbxTg8HiIb3u1wxfJae6eudYzhKbLwXY0DHtK1xuG2DPeByCphHYcADL3eNHWtC3t2Jz+uynViwoLgof/pO6V6JtXvLEi1TqnZ+47QHst8d4y1cfpnx800ETP/D8qwDwz4csxpLP9HUpFXlM33LBRS6IC2CeZZx0F+r08azuOmIJAQdgCF8BKDs2e0qsaJRtUzCUcoj/uK9/nwhtM+esFpk+PjQ07Ks1EuCPCrmQYiq56p2pvKNqwZxw2NVlITSUrtNXAvqcjwEueAK/PYDRJHqK6RN8DeHb7SSvbck8pZxRsuFlP2s/X/DjRENu/CmEAgOmb4Nsm98ucW42uTKezNUtALt02xHTl0nxnlagjz3hUskGWsglGjw1K7W27e7f2qLX0juNZxilFWqSTfCLlv1VYl2JjO5vTf4NUB7S+LTLbP2Xz37lIQDAf/rorSr/OKdDw/TFF6yc6dssahRDLKPfxsyv6vdWo7i25Tp9yvBOiU1QTOZdt3d8eKf+fGtwnxR2DR/eyffbWWWgyukrseNH7OTuO595Ga6+8CwA/BxJytViFTT9ZFwIVcxV72SLnHc53YGvUr1zJwj/dd3IVe9csiGWHjwNC9pPtZ3Kq2OLs4tqqX5hg2T6pHxC8rgHdfpYARoh1J1+tlN1+oxRMH2pencFTF+O8qf7m80HnCunL4v5yWX65lDvTO5c71KS03f0PPu54HPL54kRDfajAfg/9Jt5fcidCw1zdhS+E3X6Npx+02/TnNlMX6VgYMSSDaxvNAipgVvgo1FPs75DJTKeoUSvTYDPT5OAAKt25/x7uVY+rIhyL1o8ufy8o7juSvsSzEldiretFM9ZIzCzuYdyTRvGe9bucmLLMuvAj7AqT/l3iyJq1kticBQgW3quwz6NmRdyceVUFMwR0C1MGAwnqOPt9vsKKMegOPzYGHpCXGrf/wLL7r3mW57Ya59ZpJGk+Hk14eH7qLROX0WCJ39/Z+YTxgBIpaCZyOlbEVSfY/NCzOiZvom2pTxGgI/2kM43G+0hhfJq2m4aodwDea2bxuYl9/Ntu/2OO49MDovr9JHqnWJ4Z4HyJ8VQSqqjuTl9GSAgifkyQZ9mYp3aLovpUxRnL8kvEyJNssy1qVGxvOJ59vOJ3xZ3imtzdTLxwyEwfYcR3vnFPwO++F/UezltQB8r9w1gULIBGUyfG8Q0hXmBbiCxvq4/epYw3B/n6wbP7jt2cihNTKuKP+a6lkL2lAI2mRayo1rVULdtGKioZVFK36XO3viq6wAAVz/urHl2mDCJbXOHnysNzy/GoG27f69o/PsMDA8E3CbxvaIJYXamuea+flpG6Ju0TWWUEUkF5vq5uwxKJ5C+Entk+50HvIzinWLLJgyZPhZ42fbygNtqXUeCJqadVzKAsRbr1WmAcsj0sTl96Vp5+cwqOwbIIZZQKXDGuiJ8eQ5JsdQtgBEgApDDJGmmL1MQZVTIhWUJo8VFrzpHtJ3bb7sRsc2Yb+aAO8r0ldoGQZ+U08eGhjr/0CfX4vBOZgB68nfYz92z8vqQO8gd6NIY+m2mGPwtlGwYhHfm2ekD+sCf77ruKwtWikStbsXUsXX2e7rAerAY5QZ8jaBJzJ5o2E3XpjNe9nq4SqwVcukrKbeTJMU5K7E4u0wD2hrE4Z18uKm48Jh5LI7h2/RcXmLbNMxVCPr2VvYF+Ynb7ufadvdoqFxN5g25tiUgwDEC/edDAxjtDsjtIntk356jY7vdBM0dgebZdFYZoypzUWJ+kThWqFWAkDgcl+n1mHonG1o6qNNHhvy5/eeod9Z1M1xwhEZEZui7qPjQ0FS/p3L63DxfDu/kgLKUkwdMg12J1XV/swsEueGdkgiMX1yYnIuPMH1MyF6cTA50A3BueCcToplkCVmWccacvhwQkPLJZfrsj2wH8tpeCoIrGqZPBAEKhtJtX2Qm+iTsg/9C/p7ud+b5/uN/NrI9uZhTBLRzbR6AftqAPlWIZhOVbICGbeuvempCe4BhiOaCHPCdd3y5taqjJeFUMWDUFKRfRMdsv+fPWa6FvpowRe8fAzdNtAeGE47csLtuAW2zk/m0mAqfQwPYidVf3WrB3v/5B5+m2pYYZUC3sFEJk1oNm90tyHT7ZNvOMQn8aBZLpfQEK7CR1Z0si3OeOOBmPxfRfaaKPMhUBJbUO+k8L1HRkRsDUoIoC/I93EisVVWpCqRLqrzriZvF57EPMAh3zlJqqcA0eJLCzZ0/e69IqqPsuDeInAM5hhSDPghMXaGQC5XT5xB+zPS5lxKRE5jKRWQmxJ985/Q26cYxEt854TpHyYaxfo3YBY8HnvE/Ru2SAL8RmD4AdO7oXBYzfVRoady/LTF9krFAyg8+0T0OxXHn2mNMX2TkhAFopd0jRoC9VHH4mjanr45CsFn1NaAdwKIrxgu5tO3FoXPU4Df01Qi5rKPJijYktlQIKn4fscyTMymng247/k7V8vZNZtvcb9P+6+Be0QLUZK4WuZuY6dOIe/jXqYl8FXmrzv/13/k0rsMYgk37b35xYgj6jEqYqsSkxRi29qcUPcCyuqPAi2X6BNaKKs7u71E909eNHf2XOBvtEees2n2xAjL2Mw4tXRLHLYVsAzx4WgulJthFFTHcXNN2I6h3kuyoBBjpxbd6DPSxoC0+6C0UZ08xfSxwE5k+BQvyzr/jnJAFAmZn+gzoASjVBpWXl5m/mVQdrcABr3YbRpl11KJJVhHgZM93qo1NAq8JIZdt5FUU2mkD+gxAX+thjhlfsqGbrFh/vRhLzJjp2IQwlOq5X3e+XoAmmsxrcmhiIZepsKDQXxKq2M7EdPhOZK+V8w+tqhTqncIYVHrImz5jEtumyYX8+idcAAB4zTc/UX2sUp0+DYBZ132mz4cRK8L2hgJNVNO97V7QngPGPOgTng/mfIvAa47FaYUNmPBsIRfu/h5jR7PVOysOcMosI3efuRBLEXBSapJDxovPRRwyfYA9jsnwzmjM69ouyenjni8JZAP8e0HMy2MBfj0EjP7ZnHIeLdkw5e1fClHjJNNXr2y7A/9CIReAYwqL6vRFPr5fbH5aLtM3xpixL9MU6MsAnBoQkQKrzPm+4+P284t/Nr3taB/ceS8AfZoQF7uhvo0p+8LEeUjW31T0/WJ+UThqXG5baacP6FOwdXEJAQPNxNJ+eiEXtRJlP0RzQa5uA0MAw4I227/hRInO6RNyaHQlG2QQQZ+zkT5N+jaAexHlPCrx9bL3CumLPkh33+VY4XNOWyqHxv427X/eWbsAgOc//gL1kTbCO02xzjqY4Ll7XcM8+aGr/Qcfet36QfEiCtuNnmugLLyTuc/Ky4cMv2MX3yT2SFN7DYiBMi+IIqlJsiUb1sLz0dVqnfBdy4yZJrxTCrG0bXOAU26bZPok8MSqdw7qC9rPyZw+F20ohGhS90otA2WKURaYVbevyftsLPeHytMSfD3Tx4ipxOFnsCedYeoAIbzzkHP66oNpnxKmT6qLaDuCcnCRA/pI8JTK6dv2yt+A6ctpO4PZ1XzP2I3vmGizsGTDkfOAa78lq2vdrtvz9JRX2v0p7bQBfZpwskFOn4Lpc2p7HSPQ7ZOxOGSEXXV0vnGoIdtviUXhcxu67Z2xq9OAHSB7oVhaOXxhO6rgdtPgqw/t4aE9u3qpLSEAtM9Zb0LOi2RshOnb8HtcDgN2/+aBRGUMzju2AwC49FyuXlCdYn/Ye7yO6/R13zO+QDeJdqUPcoCRRijIWZ/dbCeWTA1NoX/a57rUBgtRhI/Ll4rfZ5o6fblKliLzRIt7DO9RVszLjR0xANKwVoPwTscyZoZoMrX2UnX62OLsczB9g0hHwws0DcM7uTG3aYbHbILfxp0LSjb4iX4u0ycAL9d2SbkHpu1i9U7v1L/oawL0Fef0FYKnXBBSpNSaALpsiY25LGb6tmKp86peblZsmirZEP0+R1spX3euj13Q1WRU2GkD+jQMTB2DJw1jFtW784OuIvcnfEbZsCLvG/ytUemTJvPs+0zKq9CA1XT9NMpdPELmfH/4818DALz7xtsB5L+OYqaPHQP+4pZ78Be33NP7LveR7xjDzaI+aZKluV4dKwy88lmXAQD+9suuJdvut+f+zd7j62iS5v7N3KcnD1oVzZ1usqMRKwpNE7YcM4y2XftJPZvR3wY8iHDH9t3Pvny6IaJt2z63+BbnXwIudHq6XSmnz/2dqybJMF5Ad39LdSzZIucS8GIXJqTSBZq2pdy66by6ti0ptDTzfLOLpVI4resLu0CQYgkZ5dD88M6UtDuRV+dDHmKmryDE0u2PBZxJMRaCMZuL6et3bNqnhOmbI6fvzpu47Zi2S+r02R1g03MF7D8StQeeoZRMuyi/VSbTtTml3kn0KTdsy+/bnes8YH/6gD4FWxfH6lfk6jQQKJm1Z64L7yTZHwwntZoQMmOA33nNS/DGV13XCgBwfo0wmWfBbi0MvJqw1DjEJocdZb6L7eSKKII72Xj/T8v0zbe/KXvvz7y8bbekUd5Cps6ZUVyvUG3PXfMjS+41I67qG8ViTt0Pf9OoxEr5VmwtsNCMAXYW/GtVDmnlQbZ0bFpV3nhCzloTD0LgF5KsuFMe45VintjjXq2HbS8WvIw/IJc+mOr7WE4f+2zF7wFt2xLjNjmPj8Y870s+H5J6Z1ecfRp42X4O2+bvs/53bB6+xKzSpUGSdfoY9c5U3lAp01cAODU1AufI6YuXaKm5gsD0vfKXgt8mfEtz+j70LxO7ngKcQtuaOn2HFd4Zglx3r2Zd68jofie222Ro6aSQC/l8zWFMqLhgpxHo48KhACG8E4r8tCi/TatEGdesY0OSgC409HlXX4D/6euvVocahv3t2mYmG8OBV1unr5dDSQ74zqStcnLjcoBTXHZBwwqn9qex3QgwHU54J992eK/Qq+Jw+5dC/vgVmWF4p5vccb7AUNI+R2zo4nO4cFagOzQJZHN5ef2/XVgqc7GkUMUc6wNWMrxTYPpY5c8U81TK9OWWbGCjPdLqnWz5AbmovK7t4TljwI/dVjjfDFAWBFFY8CS9j3zb5DkbKp6252wScPbfRUA3dE+2PVqyYWoxMsX0keqdzVh4Z6ZyqF/5ywCccwi55DJ9yyPdb6O+MzB96Z0Tbcfnmw2nTYDVbYRZ9to10ecGgZezU4npUx137rVx7wW3mzOd6QN/D8RhMlWl8wWC8E5lcXY0cW4cL0oSh3caaEJah5MVTb0iYBjSxLOM0TFrQZ+wXU4+Us47IsLoqvtsrj4AegCVa9J9ogHp4YTcRN9Nty1P7jSLOfFz7b6fMmlSrGGzfZtKAOX7FgEnIC+80/WBkrNPAIES211WOCBQ9roeMl7stY6jLZyx1ytZp0+zACaEEbNiKrmAU3w+WBGZ0Zy+afADDAGQ5pxJYNP9NuVr2+5/XxreCRB6KEJ4J9j38Kh6Z6aQi0q9UxJymaNtJscsBfoU79L4glOTW4n1IifjmxREyQGcbImMsZINmwZFUl2nWUKS2Ln0IZRsGCvFAjAhAPltPxbe2Tcb3smzXv2BgGfb4jAZdZ2+ZqjeqSlyPsi1UkyogS50DODDqYR5KV3ryLZdVqdPZPoyXmi5j9swJDZzRxl98GG5W0qQliZ4GhASsgK00l3gK+XQaBY2JKaPVeoDosm8goX3Pso3qsRadUIu0xY/vwY8C+KOLRYW0VrovbusfH7kmK3rehBiebCucbBusJoAjWnmiV/EGgJObhGrrE6fXDaBEVOx/sNi4Sx46nL6JJZxvN3uHRS3zaqtDgEjmycshZsDdn8Mgy+9U9iFWimH0r+HJynKMaaPZAnjM86qd44JuUwi3alJLZNPmGKtMsI7L72u9SVXwFIMZU6IZdiPIssAfZrwzsMqzm6kP9z53kZO3xaFauI2BwsbiuPOBsZ+ctZ+nuGgT5uX12cyANY7Ln2gmVi6VmIWhVbvFEINtWyZicCXZmIZ57FowjulOmR06JywWQ7uygKKkYsBH1I7Vx/G+jO3uRDL0Og8FoSgUR/oIUnms8IgwHCSxk7GASSVQ9l79OiOfbBe+SydKIo0oe7mKfyCTN9I8FPI9EltL0ggsBbYn4O2pMHJ1QToi0LsnbHXa7WuBeDFLWJJyqHaOn1x28Zw44cY3kne4yvh/gZAKdQ2ftu8fo8JorAsoxgBQDL4KcA5HdY6zCWkIy6KSja4l2gm05cq2aDKJyxhnjLLD0g+z/9R3kcCQCpBlNI6fal9l4C+TIZyG0IuvebaPjzv1fbz8d+Yvy96XpjYTnu9NNunwp+3IbQ3E9O3nN7k0WEwGsfxAAAgAElEQVRsXgQgMQL8dY9rFmmLs8cASKfeOZwcsreYyCiAGzgllpCV63Ztx2Uqwj5N+gtHmRWqqXcZ1NrT3CtzmibPq8TicNawbV3+p1GBRQD41Q/ePPhOs5hTN0Omzn0/ZWJ4JymwAQAXnX0ET7/8XLzmm59I9taaNKHOYVZDYyfEnZBLN+HYX9WDPNKUuXsxrpfHne/hRP6qC461v3FAQCq7wAJlKc+LVaIE4oiLbr9jlqo5x4dJjoUqTpwzd3/H9fKIcTMppkKOudL57t4NeW2ryi4I5xsgzlkzFPxRC7lklWxIgD5WvbOuZ8jpS4AQSjlUAk+5JQQUgFEEQORkfJTpKx1zN8j0pfptsOWJSnueH/9S+3nBEzbf5KExfSafzZ7jmjzG9FnT3OOxmqRKyCUKA/OrhorQ0vB+YUN7rPMwvFNbnH2Q08e8Sx0bEfU7V8hFq9451qdNW3y92Emtsxc94YL+/rTtu3aVfrkWs8lAMNFh/MN7RXmdn3bZOcMvSeYIcGUAur/9fUayEdanDxo1odfnHt0ZnDvGDxjeY/Y3PdNnDB92557fneCkvfNjt007RhYesc2PJs533Qxz8sjJuAS8AF14pwhgSLYt7Gv4b14QRWg7s99apk8Ka50Kk/SRigJ4yu13t5A05Su3rTlnqfts6pxJgNH9lS/kosmri08ayfTFEwVnW8npmxn0seGZbpvkZJwBXsI507zOl8fS/ZpsO5MdHcvp2zTTF+7edUFzvagd52ynZfrWwP7D5LYjjDCwYaAdD/Z5eZunD+gjQxWB4UCgCg2NmD6NsqHbLmaONOGd8SDE5zvZz5ycPlnRkZ8QxyvU6jp9wnY5z1ZYg401qRmWbbvo7CN40iV9ILPpSBHJ7n/kAHtk+Ypyps9+LoxRh64/+dJzcO1Fx/tt+35xLEwlTMY5IZe+DwBVyQYpLJax0Tp9+t1Z/0qXq7sMXoaaMidSEyz7s26G6p38ZLz/Du7a5u/RQckGmulzbQ3fZ9NqkMOFBd9vUjl0ALzIUEWXTzgUgsln2/jxI72QNF2nLwWUNaGlmezoCFidZvpSdfoY8COsBAHg1TtHgBddp2/uMEkl6ItXw1imbwD6WP8EUA77MmXf+Nr0vkebLsnpg3y+YbbAhAXHddcn07+xpgVOcwGsj/4GcOJess2R+9tuMLUDTc8i14gCOOOZPsOzP+toIDCKUMWheic36DqLJ4eaMMlaYvoozzAUS+/vB97gbtGEpcYCBBoQYdsXvqM8+6apnxbaIB9RAQTmEkakc0kEe84vvg8//ms3UNs2kMZNnnkK1fY6wMb1sxaAky6fsMnKtQJCRcj+ggwtDoXhxJTyE5gMTZ2+oZCLoSMXpILdOcXoB+8zpt+1UCuPfJdKoju2H2RoaeI+43L6hiCEDxfsbx/6syBdKmhv2x73dWBVFLAhGC9AZtu453IkN26S6ZOBsq62Yd7ighRO657NyZZH6/SRwCteftMAL1GJsqROn4Z5ygScvf24bf0owjghec4mXWco2ZA6N5NMX5MGfRRIl6612TDrhP7+H/la226GUqs35QCae75lJ77NMcEfpu2c1WG7876/yQP2pw/oAxsB0AzCNkwO0+fCOxViEcBwcrioNCFkzYCp0yiWAnFuHTuRb9sL2taEdzaJyThfp2+43bbUO+NmdEB7OGnIN91+6rrBk/7X38ev//kXAAAfvvlrlF/MRAM6NtstTITF2flakoJanmKBIFWnj8sxGyorapR16+jZZE1ajOnGD56tC40d792xhYshGtCXaptm+oTSBUwfSsU94veR2xc7frj72/ebVu8UrjV0gHNYaLz7bbztlukTQd94u+4eFdk28nzn5vRJzCqAVr2TOGe1EBJL32fDxYFuTkuwN6GDMyrEMgW8NGUTMtm2YiGXdaJt4rhDqyOmlA7vLGAoS8FTEqAx90p8o2mutTTuKMDqHObOs4aZTVohyM5qkpWSn2D6GICfa48xfX3jB+1ue2dsUWBgyAgsyMHLWTw5VBVnR//5ZoEu0K1C9/25tqVBX1OnL14x9XX6FPlS0j61dsMt9+idENVGJCc6gBwepG69if/m2t5f11jVDf7xu+Kwi4n20AzHHwXzFE7w1EyfIO6hWeeNhRd0dfrsZ1+9UxPeCXW5BucHDBehWBswfUbD4NvPsGRDFtMXvc9YwJlirSYn4/XwfeTazq3dxqp3xlEirl1g2l/KB9T0ez0SJjkJOJthmQqAe5+lQfYMtfJIpi9+JliVWDG8k2RHa7Fkg7Xp8M4ZSjZkF2cfq92Wm0/IMk/NiIiM4t3iw2MVICJ13Ix/CihrwJN03G7fo23Xw8FDFU57SExfeF78udOM2JFpBr7P/RFwx8f1baSsGPRpwG7hpNAzfWc46NOsMAMxgFGAtkguvBvwuX7Gk0ONQmAcqmIndzzD6Hw6f12eVn91m2c3k3X6FGB3+J3+pfJtT78EQCevT7UdLaRpgbZW2CNl2t3kiuRYFrz/Xcf0kWyEcX6O6eNMXFlXsIwxkGBX9IHguQ7vUzI3DnD38vAi3XTr/aN+Xehc0K4ipFXahH2uvZBLcNAazFfStqSM6BeDJkHIGHiabFoWclEoaKZyEXPBEyuI0ght8/lpctSBRr1z+Gzy53vIbvb3nbIkUCbHHzl/034yOZjD8hrunTaFVkvUOyeAF1UrTxjjqgKmTyXkkgk4Q3voK87R7ZhwGmP6COBVWrJht81H/4F/P+yXtu3iOn3bEHIRQJ9mwGb2m7LffFWZf2yLXW67ZHin32BqB2yPpn3vuRlY76mP9/QBfeDZAKA/EFjAyLUzDO/sfz/dvuuttcooVtcbgXWi2bYh2GUHbSmZXhf61geMftFQGZra/5Jy7dn/8X3XoTLAi57wOJWfic4Z23STmGjlmHYv63p4zRiLQ4iB7tpxE7xue01oZuw7bJth66LwTo2QizC5XJBMhjWZ1b33kf1RL/G5jH4bbVXYhGdg7DYh06dZLJBUfWnWSmD66Jy+aOHNGbPw58L7JUEUShikHgKYbnFh3Dcd3snWCMxX75SAF+COe7zdVIF0djFo/Lkeb7uEZUyLwJCMstRvv+9R13HgRgu5ZDJ9Y0AgG/QVAk5jdKAvK7xTCpMkGZhZcvra7Y6dL3+vaXuOOn3bFHKZg+nbmka5YJc/h9tOYmUB3X2aOyeMn81Pvct+PsKl7jg7fUAfG+4h5AgYBWPW1g8eCLnwOWZR+QIF09cgH4BIbB3LcHYrvcKEmpQ5j0ND7feTrm4PuOjsI3jzDz036BPr27e6AT702a/S28fNWKaPBTFzCLn026LDkKPFCbq1RlrRd7/lTUx/6T1/zbaeFHxgLK0Sy4EQYFh0W7ewwffVWbf3/iJU/7cRf+nYyMWgW+62MtVf/Noj/rt7Hx4HqVOmqtM3YG/KGDNGFEsKpwU0tfKG7I8PI2bDO4VwQ5odzQ4tlRegNOGdQ7DKATdJ0IoHjGngxgrnJOv0EaAxBRgnr5afoElCLiTwys7zSuWnbSOnbyb1zp2jrR8J2oDE4EWqKs4SJpkA6xuv01fabwA/8Gv8tpK5e7NIyMVZKUO5QcBZGt45CwPatvWt/7v9rFeq3ZxGoI+blB60s6GwNpXm+YgFH7R1+uLJoYZNiAduDQCRJOVZoNxNlLrvForjjicrbGhP2P6l59ri1/67LSUpi+I5pK8UWpRrWlGUlWcVlKAPw9efrk5ft33YNCsYlFTLo4BEvxRLlzs67StFANhi39O+tn/DCTnrB8jhnQzgHCxKGJ5d/s833g4AeFf7CQB/8Ik7KV+pbUApphKLkpCMWXethm2zOWLSZL5ppvsuFZXXqEHafgssI/N81AJDSat3ygtQTEhsnNLQ+ba/T4KnsZw+FnAOj3uq36loB41gULaw1GhO36bZtg0yfZO08EygL243N7yTLu6eOGc56p3xfnKAMg12Z+g3ADzr+/ltfdPB/nfPaptVgPTYZoqKyjK27eKSDUA+oxmtvh2/qOuTwk4v0Edst14PGRCVkEsk+KCZoAHDyWGlUO+so/BOVjTBtisP2tl1+hSlKtIMzKQrgCHDCRQuJCksbtsC5bzrVWLa/biJWswqTJkU+qYB6aH4QQiWP/LF6To4ctHstl/E0x3nibnD4OqvSUyfMjSV2rJvEvPElgAI/UNj++1OVdjvF1974aRfbMPwzmkfibXyuVZkeGcOY5Yq96ApsJ4LIqR8cvs3r945LDTe3/eYr7QAxSg4+/VlYdHQ7Xuy7RlZQuvPXSsgzSjnXOuuX6OuE6CPAG2SLy3kskHQt+3i7Cxoi1mQsN3e7yP+pTl9frN4sjLllwJ9hrhXxljdiXaLLWjg63/KNTz8TXQd+b10cpflXwj6NIsLuRY/m5pajoGdNqCvIifjjukLCxJXhmdQ4lXmLryT62c8OawMn5cXM/lMaE7XrhQ6p8v96TGUinypOJ+EXi1tzbFt4TXaEuYD0L9ell3l/CQAVWps247pU4d3YghUu+s17R8y2eGhH6ymb3I590fTdpMNnjyQCCIANOGdlknPYPpcyYbgOy2LHhubV/eSJ1qA90Mv+rquP5oBswBwrsXFBR5EALI/M7cL23LWvc/G/SXwxIelJhizimejcxmzVHhnZabDWpP9Jpn08eeaAV5yv9n6goNrTZ6ztSDERT/iqeLsqpIN8YC96P+e9K/lOeyjEfR55oh8sEvqC6Zy41RFmjC8bmNtp/oN8PfKHDmUORZek+Vu1y4A/NEv8r7eDpPpI6HQZHgnca/kzgnvv9XtoP04w0GfATcx9LWpSoVcPNPX/37K4smhqt4d+oOnNtRQqr/GhXcOB32NMmI84WAV50KLF9w0vqF981MvxrOvOo/ePj4/uoW/+Yuzs5YSjZiypsFwsdSFdypDecNrzpwyaVW/C+/kgNsierZsn6bbTuX0lbDRjEk5xlVlaHEP6bSw77Mrz7chOSG7x76LgACw9t5JvDjUIjpfGrYt3N4ZAzhT4Z0aEDIQoGHDBRNhkqyC81oI7+TVO/PDO9NAudv3uP9IbtwkyE6D1dxrzYqvNY2sEGt/I4AXALE4u9t52rm/rfd1E8tNCrmk2i4VcikN75ywKcVThnmSXuCqAT9x7kZBXwJku+9y1VK3UqevBLgR93+2ZfhvNbwz09799+3n3gP9NjcB+owxLzfGvMsYc5sxpjHG/Hj0uzHGvMEYc7sx5oQx5k+NMc+MtrnAGPN2Y8z97f9vN8acH21znTHmA+0+bjPG/IIhl89ZUZOVEN7JsoSAoN6pWJUHhu8WNZsQ/K0JNZRy+tjwUCmRn611ZP37g3630jrtC8z7GGmYOt92BAR4VpjPr0q234z/nbJcIRdg+Np2f7MLBFLYIGPSqr6f5xDtxjmUqvBOAUhoSjY0wqIKQPS7/Yxvk2VVebZ2vN3hNrSoVbtRWL9NU6fvjz9tZdXDrmvEoZL106Ym81GIfdc2AwS6bWNfpm0ReNFgte23ACSYe1TMg1SFKkrgafp6jeVBhr9r2vYh40S/pVcok9M3yVAS/sNFKPfbuO8keBoL0UwBGE2dvmTIHwlWc4Vc6jHQlzOSk0xd9ybN859DvTPVBwr0pa5XbskGZJ5vjbV9/r63Bl+xID2xWpn6beNWCPrUYcglFr1bNsT0nQ3gEwD+PoATwu8/B+BnAfw0gBcB+AqAPzTGnBNs8w4AzwfwSgDf2f777e5HY8y5AP4QwF3tPl4L4B8CeB3TQUNONtxEKpQpZ1lCoEuIdwO/Vr2zwTB/hwdu/XeD5rmO2wUcI8CzCX2mz37mCLnowzuHx5r77GiUWm07w3BH9l6ZR73Tmme8yO3ddbnvkQNVO1KYYifkwlxrWciFMbE4u2ubCCED+kDA/ZsCIQILoxNZyrvWqb4tyFxfaQtaTCVoy9nJA24AOXmwxns/eZfQNi9Kkg282t8Hi/oEa5WqOccuRI0Br9x6dyV5kOyiowRWu7Y5sCqd7/D3Mf9c4BVHiXRtE4DRz6eHzKptmwGciffRJOgrCJNMqndqFB1zQ/5SF5sAq65vczB9cYgrHd6ZOmdT7Y2E7amZvvh+HfEvZvoaJAH+xuv0tX0798qg3RKmb6bJ0iZFZJLPlka1NGrr5T/HtR23lamUumQ2aprm9wH8PgAYY97Wa9++BX8GwBubpvnt9rsfgwV+PwzgrcaYp8MCvZc2TfPn7TY/BeBDxpinNk3z1wBeDeAsAD/WNM0JAJ9o/V5njHlTMzGLYQGQtPoXhq9NEYvrphmwhABfnF0SY+HDO2MVTEXJBkG9TVvPKzw17Aqz9e8PvMYYVT6iY9vC7TX1xELLWQDrAW2SRUnVA9NaigmaMg1jE7cnTUoBntXt6vR1O2KfzcGY7fs1Nal1TF33nUZkyQs0Vf37lAf4+mvk/IDhxHZZGR+VMGbSeS2p0/f+Tw2B3FS7ceQCf5/0v9MAL0AO75wUJRHCaQF+IWpdCwI05BgwpoJJ1QgUABCr3pkWROHr9KUEnhimcAgYu99GfROqo0xIrA8DTtxnnHpn/zv2fdTVmcsAbkmW0LFtBcCLLgyfajs3p48BnIKZ7oxPttvb3vlrchFLQUcJ05fJjsZMQOecd741JvZdAZ7SP+b2iNh3wthrX68TrCy5ODEHED8FhFyuAXAZgPe5L1rQ9kEAL2m/uh7AQwD+PPD7MwAPR9t8qPV19l4AVwB4wlQnWAZHyk/TsMp1NOj7/IBMts6Gd1Kug4mlBjjJyfTa4uzhcXOrpUAacPILaM2Q6eNcB6ZZuPM+g3/nsaNzmDYMWb9/IUCGnKDZbYYTJQB48OQ04yit6lfks5kquQCQoE8IYVtUXMFuYLggw1uC/amMLw8zZtI1MSDZ6IJ7NPWuZd9JYyF/0+qdbvshe1RSsgFgwg3zAWMqvJNldcXC8Ar1TinU25hp39S7rIStcwt/TGH3YgGalPDOZE5fOtx8OrzTTYhTOX0F4Z25AMYwwiCniJCL778bAFiGMu530K8p/7GwPcZSrNth5PTlTHS0Jt2n7Fhy8PDwu9nmShs87qYePtMAwuWgSSs+TtPfzyGAvsvaz3iJ+K7gt8sA3B2yde2/vxJtI+0jbMObMeYnjTEfMcZ85O6776ZFSaSVdU3onK0F1vlqQshs+7HCIC9KMqgZB0XkAaScPu6YfXhP8J1GyEUsaKwArED7DgvVOxVhqdGeVK+EeB8VmZqQmlyWGtv3fKYvrVhH4QhhogQAv/HhL076yowAt7ggCbFolHXdwkR47NqSDTnRKekcM/J8R38fWS7oXN9UzpPWwneSJk94UGdPq4IZ+xPXa6pkA6fe2f+OVYkdK9nAAmUpj5FpOwWemPSCNFDu/z7mnysik8rpYxjKLixVvtZMXcVcsFoGnlIAxoVY5uZ5Fah3VlsGfTHbyZ7vVEgswxQWh3e2AGz/oUTfEj69fkZtTzGzc9XpyzLhPmXHkrv+28huD4Hpo/c9IeTChiGXmDvHp4B6Z3w08V0nHe3UNkn43DTNrzZN88KmaV548cUXw0AX0hQOQmyYCtCGd0YhloBCvRPovZdY5TbnG7OEbH6azKJwk8Mxpi8nvBPQhc459incngMgw++oAbu1vdUa9zy83w9Npe+zrr05bGvhnY0U0sQvbJTkMZYIuYhCLKb/25it6gbLaDZvDC+yhKYPfpxNswmurf732hDN2JcLQe62d3bWrrSKOW69dxIpfjNafmByMi+DVU1OX1JYhAIwEYhwY8AkY9b4fvbb5t8pA9aKXBQZBU+T56zfljNdnT6JrZv2bZpEfUHS123b9+XGrrXArAJkrm+JIMpkiGWJkEsh01eU0zcFYARj2YzUi1Qj5DJLyQYD3HqDsO+xdpE4Zywze9hM31ww4tHC9I2VbBi5Xvd+0T4Dn/1D2Vdrhwj67mw/YzbuEnRM3Z0ALgmVONt/XxxtI+0DGDKAA2PvcSm5mw7ZQMv0hbW8FOAHABCBL0OEqXjXGDwZLs8KkCfjBnzIHjAUuXD7HbP0wMuDL8c+hW1pmIx/+YPP8d9pHq+f+PWP4L/d8UCkmMqyo/IET2tXnn+s/wV5mzHKj5LV8aoEgkVeksGRjpkKvcbw/ccKJ0j5UuyE2G0zYHBI8AQgWZ7jYCJ2250XuYYm1fDAWIZSytX9iZddSzSavh4qADNgYPr9SvoKrK5te/q9kApV5AGMXBQ+7FfaV+43Hd4pADc2t1pa9ANAheOmfqfLLiREZDiQnmYoJ0FbAuCzQi6NEKHi9jeZkpGq01ci5EKzbQn25zDr9DE150RLrvvHDbebp/o9BdIFX0DJ9DV2+7Mvjb7fZHjnyLXeuJBL4pyX2p++scx/k7mMU6Bv7Jzf9hH7eedfRfvUXqfDZ/pugQVsr/BdMuYogJehy+H7MKwC6PWB3/UAjkfbvKz1dfYKALcD+MJUJ9iSDRLT5yeWxB7StcC4CxcLuSyMIm+oGYrAsJZSImNFF4D+vc5Lhct9ZSeHQMf0PfvK83rfTZlr++mXdyKymnf4hz77Ve/j/cm2neWGzj3tsnPwHc+4FMePLNs+8PcooAud7Ztc2sPuk2s3Bk8Af70Gk3HvP70qDwxLsQBc+HT8XAM8awUM822dTYHv7mc9gAHk+8FO5CddRZEgjQqxb6/XtgGhPyMKi7h7fFKJsuCdMp3TN+ou5tUBXL3VZC5ixZfYyC81MX+dPpYdTYvITN9vqcgBFjACAsj2TN+0v8hQMu+FqTp9Yzfa2GSaEmMZA32ZDCUj5NI0QEloqWTF4Z0Kpi8JXpRM35O/I/p6xH/qWpfU6duWkMvcDN1Dd45vFtsb7o92cwhMH4CtnHPbiba5DYI+Y8zZxpjnGmOe2/pc3f59dZub92YArzfGvMoY8ywAb4MVbnkHADRN8ykA74FV8nyxMeZ6AG8F8LutcifabR8B8DZjzLOMMa8C8HoAk8qdgJuME5MkYQDz7wV6UhtOLN33074AxJINmuLsPbAKflIqhe3ReUPuHgu+0xZSlvNYiMbRLaAtFxWeecW59jvO07flzEBXsgEAbvjCvd0fBYsLGnPH7JtV+jPKj8l2o+/c32x5D2mixN1nEhDg/KVcre4enW57XQ/DyFTKuokQtqnr1oX89b+nVTCFbdiwb9920EtNiQrJiur0eeZoGkQAUk7fNPuTWoSiWcYE+7PQhJYKuYhc6RuZJXS/TbWdDJMkBE0A+XxzbSfAEwXSZZZwQQAvd1yDZ8uJ3xBjl6gcStxnaQXOAvVOgA/5k4DApouzTwKYjDFJHd6Z6DeV0yeuLuiZvng/o6CvkOlzQHPgq+h3rvlznjPJEfq21pWXUu1b5T5xvVKgb/KcJ86T9vzF9/qGmL4XAvhY+/8xAP+k/fcvtr//EoA3AXgLgI8AuBzAdzRN82Cwj1cDuBFW5fO97b9/tDuO5n5YZu+Kdh9vAfDL7X4njQ7vFAYwNkwFGDIC2py+OESHndx1vn2wyj7X0uDJ5vRJeTB8MrwbeGOWUTHBRCdg83e/5Um9/Y63jUG/S9+F/KR22LbGUmqQbN+L1DsTDAwLdqV+D8JUSd8un3Dct1vM6b5jmQi3jVQ0W1Wygdu0Z2MsCgWyhe94Vd62reBdqFm86hrs/sky+FLdOB8yPvE+dPf2kDEjAEgCCGgEg3Lrxkm50QAJIiCDEFbxNLUYw5U+cG0N3+EAF9YqvQY5ljENvKYZxq6dni8tGCQDzooJx52jTl8SuDHiHikgwIZ3xjcaw/QlQlrZtkVz/WDPd2LJsoQx0zJ92yzOngQhmn5n2tw5ffVqnv2Ugt2pBZkk6NtCSG2/QfuhfK7YOn1/isGd3Pu9AfCG9v/UNvcA+JGJdm4C8HKmT7GxNeskEKJhMtZ1P4SMVW5z1kQDiUYhMGZhdEIuwyLjLPByW0j5UsxkI/Z1f6ueTdP7UAH8HmNGsptj3cht29n+qsbucvxFGYcLsoyXM5ahii0E2IO2SbArHfM3XPO4aV8BCHiRJbZOXw/g8/UgpfBOtmRDSqCDMXdcw2eTL9gdm3ZhIo/pk7+3zBHjn2Z1GVVFQKrTN13mYux9BBDhnQXgqSS8M1X3U6N4mh8m6cBq/3s6Nw7ys8E8m6lFJEZkKcWsssrTScDJiK9N1ukbA24jDEq1IMI7CxQ0J4VcCAAjxfdvOrwz3l7tn5jMaxhKBwgGTF9JTh+x2pkEjKcw6Ns9bj8Xu913k0qlpBWDvimmLzXO5y5saC1m+nTHO3MG5uEZO7mTVi0900e0EzMCbEFhIJgcBt+xSfzWv+9sj5lyFVd6WSZDAjBsUeAxue+cCWYHQHi/sO2PfvE+fO4rD2UzYXQ9yMQEDwAe2pte0RqW59ABCqbGm9yusMhLsiBuG+mY6XzABBCY8vfsTyzFTzJPUvgbzbaNzNFYX4m1yi1Lwr4XJBEZdvEqfATikg25zGpXYoObzEv36eR9kgICivBOaU7LiHuMhneSYakS0AWm34djCprs+Y6XJvg6fQnACabfaZA95ZsScmGBcorV5cI73YQ4yunTqHeKYXsLAghsUL1zk6Ikve1N/5M6ZmBw3N4/kzHT9NsDgjlBX2bJhtKQJsbGWMopO2LTdPA9/2q4v2LbJNO3Hmf6xs55ZtTXsA8x6Nu+kMspYVoGpi/k0v9tzFZ1f7LCrk4j6F9c+kAjuhErf7KuUogNzfQJ/eaLAg99bdvKUhWBn/2Om1iGPgBw5wMnAQB3P7hHtR1byX3mbEUAssY1Fn9PXm8mjy3VbtxsRY67dht5gpebD8iWi0gpI1JKe5CZPrZkQzcl1r/UU6U9eKEjieljw7aHbfOYr9sw9FfV6UuwbVPXS2J1XT94IZcUgJn2j9u1/vltM3ndY4tnAAcaxVBF8h6X2mbHzbQgCie8I4eGckyd3bYAKEt5kMyYXQSeokld7D9ZsjeQdiQAACAASURBVGGMtSoFfUxR+TlAXxXti2C8gDSzSoWHZgLlvkNi32PtQj5nFZuDKY07BsXgZ8pKmD53vUKm76Kn2M+nfndhv0qPe4Lpi8WZnBWHMJMWg+0zl+kjwzsTEwaAnMxHKmjGGCoZHkgwZiTb5vzDXlsAwjmvhZXeiox1lPJg2PDO9Ko8P8EMUxTcbjRM30zrKwA0k9oh4HTGiKw0TRyq2H5PvsjLmD4ZeFFsXS1P8Ghxj3iuQb7XJPVOgGfM4rBtgC/ZkCpLwlhaEIVl4Yff8Tl9QwZHo1YqmaZOX3ybaNg2u/3wffb/s/ee4ZZc1Znwu8+5qbNa6m7lLEQQVgARJUBgYEywB4OMDWM88+GEDdhjD+azx/4GPJ+NGewRxoADDuCBwZ5xHINJFiAyGAECESSBIii0Wt1Sx3vvSXt+7Np16lSttfaqqtt9b5+73ue5z+muql1rV97vflfQqE5x2yLGMX1y+1C7rSGBYWIRnYKkc+8TNVkVs3e2I8pNM3Bq3qXURBCgJYyT/RzbHferie2QcVtsevQUs44me6eUyEVT44+w3aa+YG67AelTxy0xpA/KD0gbojyxD1ftw6qUbEB78nP5TyY2ECYnkiDadjrA3GZg+zkN9kfsu3HzxPWSsndKtle6tEXcX/9IrWZTRPq0A8u4fUFtG4+okxiOaLekerFx42WaGcu8vUd1Vl3VMiMRTd3XCvYi1PEcjJtjHZWyGGemrdsW21G2W6H2Oauu05C+8kCp7hE0V/qqfRsTL+1gniB9CttUW3Wdvtx1jlL6mhFOLYH5xxvuAQD0iJOeap2r6J3ycddT4Yvo1Lhexe2BOrHJBaWvsFyr4JOqbg0CU9w+QueqGLdtTgT47J0621QJgeTkmRAPGPsl22ZqzincJFnbSqI84oiyUh1tT1arbYHm2TtV2VZTdfok4iYm99DUu2OIgKZW3lpx79yQxYBrZ3lZ905l3NNKuHe2SuTSQpklhb4a/d64g17enU3bjrbqgu1bQ4XyF78GvPwj2b7bkr6E0tfYvZNRCOtic1a+/P5vhd93v6BW86khfVp3KGpWvo57J6WYaQusU7O1HWWyiNi+nIlSOzNP1Wmqmyyi2F4bDD9kP7z6QWmR7GoTewDjwQr57WzIA7WvpA/ceC8A4PO376uso8hBGVwMjvZ9pnEhJeGr50Y7sASiKxexW5XyVP1+5d/8ZCKX8EsOqFVKH1GnT9n2jR+8CQCw93AvuW0ZXHH2uopyEVpllnofNcreWYC239T7aBwfnSZPXNHspkRAa5urd+cUbsT5+a7EE+qTqXTLExNZXzRu9m2IF0B7axTXc+AUs1bF2TVt8/d/U6IsqIzamL5Knb6omEntBQVFq9ateJ2+OmS1BXnadlb4ffzPlPalUOoo2/mMZcqdVlL6tC9FRulLuQtGO6TthgRfm0lyZgG49KXMrhuecw3ytpVBaTPStv1s4KwnZPtuGxvYlPQl+t5WfHjcT4ffU74v/G44Ybzu/pvUu5ki0qcflAKTM+u1ErmMPGa61YGlLstf+K26d+pJ30Q8IfTPx9BX4xO0pJFUR5VZSyUFplZMnxv3udinVLtoqw3O27Ep/7c2XirW9vvWPQcq63oDBekrZ7LUi9GhfcPZruK5LplWT6rQiVwUbUEpGXG/ctuxe+fkcm3ha+r50BIYKkGTFlQGzWC7nqJcblvsF9s2V72K/dFPxEQ0yUZMJ86JE0ly2yGjwDiF2x1HBHKVUUHc6MQiGpUxu0crtmu8R4lJjeJ6ud/V5TqX2HE/i6h3zijbunNGvb51yW/4Ccfi+rq2VbV1W5EQIZGLWq2jHpA2MX3a4uxE29y24t3iHHDxjwHdmFhecb6K6ykSkWrP3eBxWWulTzjuUUvS1zYWsTijXl2psA3aftow07ah0rdi7ZG+V5qWbJDIogauAywUiN7Dnzv+d++Qbh+YItKnTbqwIolcyh9exUwtUHi3FLPdaT4gRdsTSWR0BCTYppUM7aC2fF/WrdPXNHNobj+6dyoTexRtt51g2bllPv93R/ntGo0vNr8u0b5IYOomCWlenL1asqFudltqgNe0DtlYtWp6nyltM891nUQuTZRZinjFfdXxXJhom7tey20pwvk/v3BX0iYwqbwW+6B9rin1JxJ8HYFpp1q1IQK07RaF4RWKcpqsNlXbFAlRGDd5/TmrTvrF/aVVQuZ8KzK9SrGfsV+ybV5lbF+nr0WR8xTL9lxbBYFhyeoxcu8sk5CctKVeKgyJUCmFKbJ6PMb0KUp7jDfm952yDTQbYLH3mcKuhKZKYRFS+1RMn3S92sb0lWN1U+63DKaG9GmTLlAuTXXixKgZas2HExh/PIvXraOYnY4op5Cuc39T6ae1LpbkAE3p3jke1DZTGYGS+lRD8ZLqp2lsx2bFY1QrlMxxl/fHgXLlBXTXK7ZvAso9s86kCOdGprNNuU6H35RlLpGLNt6WitXV3qPSNUm5pXIJOuoWWJ9sO7lvvm2LSZHCrov91HsPUIXGdQRmxKTS10xiSRk0i+v59qjEfsb9acuKUBNo6uQ1zOSbxjY1GdNVTBzycZC67yav1ulcNLlrDcjvUj5zdPhNEW3unKmyd3J1+lonROnKhDG2J1WrOkpfg35zxxyXqchTicS0de/UKIViDGUd0sec9zakL0nwW1zrsIOG68D3/cIfADbtUralSHob0teyPZC+XtwHM0VYWydyKT0bnUKZ9e/+q3ovU0P6tEkXKBLi8nXKwSGp9OkGxMF2sa1+gD4qDUzrJHIZjohkEdDH9FViYNSDJG5mvUYil8J22oFGcRu6hEC6fT6wKBhrEwdZXie3nyQCdY4bCKpwEwSCzRCvhvcKiH2SbcsurYV2Kdvj+msUeapPsoEaSnhui1iXHKvQREA9IUMl3oHunHETtdd+c7fC7hjF81snFpEnXqm2TEyf4l2aJ1NpqP6wSp/Cdrye1ckFhVsqc3+vhEKpjSesvMOVyqykMrZxsQzr5bbRzkTb/J2Sts0l7VEpfWysFdIuZAD9QtGk8acCs6Ptxu6d8UbTxPQRCSvUSl95UK0gbRO2GaUvpd4UbZXb13bv5PYv2D4aMX1t3TuTHxCm7xt3TJZioBtnvyXbiw8CD3w70VaCYnJhy6kJApa4V5q6d8aJk40nyf3T2i6SvuveqN7N9JA+hYsMQH/A6rivDUdVpU8blzeO/ZkczGvdO4e+GtNXLx5wcpk+vXp1MD5O5JJuC9CuQXWUvti+DkHnbANpNSH2ESgrfVrb1Wtd7peEcr077eAut9GU9Hlf6bE2NXvYhhngKW1X3TvH6yRwpVhUAzQwWXmVbfMxGrUu1Tb7ber+TJ0WbbIjzm3v+jsfTNrdV0haU34+mr5T6igwtJigr3dXGRtqyROjMmq+AfFdWSW7+nqn3KSIxuOiKVlN2lYRzupynTJLTxhprleqTl86jpK23dGEc/gRT36AhOtdPOGc+tMmkcvRjOlLqVYKd8NyjJo2+yZ3zvIZyzaxiGvZvVOK6dOMARiimq9L2Qb9MlW7ERO2b/u43FaCc+nj3n4OcPYV/Hqp/Ugozp4knNmxvujP5f6x/WKeDQCYma9szmGqSJ9OgRlvH1HPfY0r4py2TSkC8cOnIhKjar+1yg/tOqev58XN8qZTjXNKRr2Yvmhf6+4HFIkXv05C/OAv9ccfKy1Jl95pmmv9wKHexLnV1hGLaKP0VcIisl+9Klw96IXZdLpiKlue9nqz8VLKeNuhJ1QU5aTI/sU+AODT33mgsk5LVqtEW0+eytCrVuHXOeCaF1+SL9dkxv3YTffn/27i/kzVjdMqMJ5RYHR139oTAc5208QiunIPTNsaJRsot1TNN4BTo+soZk1jMD0xWVm0LbXnSLY+po9xie0oJtVY4lWHPFGD+dVK5KKJRUy5pWqVp6J7Z02lr0lM34qVmogE6liSPs+0VRCv4rbcviXcdl3WnrhXNApl2DixXV04iNc630ywm1KFudILKaIdz8nshnJDvk25X9SzAQCzC7p9YKpIn07doGZ6xypK2s6Ayt6p+QigoEYUviR5QpRE+/5whN5whJvvG2eDDO6dusE9F9OneUBGvprcQ12njxmMa1x7Iop9r+XemduqPlQ6BSdsc8vucWYkbQxmG9vR7l9/8bsFu5PrUtDWfqwapwiIXunjVBgNqIGp1lUxHi9V3F37bJbjpepkmAWAW/ccVm8bEffeZkKmDO0kVvHZfOFjzqh2SkCxu6duWygs17s/cy6WmjIwtNqmV62aupZKcV4awhmEgOq1Tk38cZk/27t3Nn+H15lcoMtF6FxLm8f0Me+ElgmDVGVgku6disEhS9xSSh9HBFqQvmNVnJ1z71TH9JXPmUbpWyHSxyp9R5Fwcu6Zddw7U33j8PW/Hduqa1tSV9tAVZZE8exK68SSDdJxtzxmKZ7wnKeqdzM1pE9dIJ2Y6dXO8sZtqOxr2syfsa9j29l+E81v3ROIx8dv3jNe6PTKDzfI0mfam1ymrdPHfXi1pQ/CPsYqzFh1qnOt6X2m0CcyYKpT6YsqY6ptddl4gHV0SZ8HVSAdmW1Fe8+40zZ0+dO6KnKD4jaJXOqo0QBw3s5NlWUa9zUAlRulTpKlMvI4SGWcWPlq1b1zZgpSjN79mSARNWL6+Pi0xH0yot8JavdOgTw1JquKib9UMpWmdfraqIz5t0vot/Qe1Ez8SS6WcT3ftvqtB+rVg6RjEY9VTB+VMUiRlXElCOdqZe/kErloJ9/YfmuOmSNPStt3fAo4vAfHVOnj3DNrJXLhZmlbnPOmMZhtoVI4pWNGWs2W3DtFRbkt0WUmcwDgpPPUe5ka0qefYQ6/xZe5Vm0DMqWPCMRXxRNSpE+pmG2eD0Gbr/2Bh4/bOqd+Lkcjoj6Uwm7omzRA0w4YiAG1egKtMLueK17pdmPX0mYkhII+UUW2PfGEJd3XGLtAOoYyorF7p6++Dp1ykBS3aXLMcRt2MJ44bi57Z3DHTZomB+Takg3fd/o2AMAZ2zfmyx579nYAabLKTUxoVca4/9+9+mJ86rVPn9hXUsHJfsvPR2OVGHXc7KuKsIZExPVcsqB0QpTxtpO2dRN/ckKUNIkov4MBZVISwU0e0EwuSOcs3e+4bbltcb3Uls+2qjnf1eU6wknbViuUjNeCaiLJj1ApzA4U3BU1bpLUBevqlAqOwBT3L9rm5NE2BEYza1iOW1J+8Fn3Tk17YTBeR+nb+51Jm5W+UaZb2uZUXU09x9wOQ4DUY6TyOVf0+1P/Pfzed6PShhZKEim6dyaul5TIpamCr4GXyKp+n1ND+uq6d05m0NTNlgJMIpeOrjh7rvQVCadWMcvul11bCq5UqKH8EIMszQcf4AZo2sHG2NakbX3fiwOt3N1PwXbjFsXLdemZobhl04GtNs5ry0Ig6adsLftva5SMsMGzHnXyhN3iuhSaJ3KhBpb69tygWE0EyGKt6evNZe9UvxcIpa/OPQpMEtv//iOXZMtSbWI/m02KxPZXPmwHzjxx48S+Uj3nYrU0z8bpJ1Tv62Bbq4RLLpZpIkDH1aUnF6RswmG92FyM6WuaiVKjMvKTZ9l6BVmlCGe9OMhy28n1ddpG28mM9MQkFKC7V7hrXUfVJUm6WumjDlrhJimSECcTxtieawvISmGrRC6pfmvdO4vt4zlUvkgrg5y2MX3Kfot9axq/qVTMjpZ759FU+m56f/j9zkfp9Xtv1dmu9MXpP7ocUs8HRxhT9wp7jyoHWBLhrJHxdGpIXx03LmCShNRy7/RVpa/bUaoJedxRVWXUKmYTBbv1Qh85qFWnpPdVlz+1miAqGWnbQDmmL+443S4nnIVhw89ddX62rhkp0pYAuOKCHQCAX3vuIyrrUpMLcfUlZ2zLl9WJqwPaJHKpEq96Sh+trGqLnPMDy4RdYkIltFe+FwgioS/Z4Ct91L7HpWySdRK5TGYEntw3B45wfuOe/Um7kWCWUWciiSNe6eydkntn2i5A1XOcXM+2F9Uf2TY1oQLo3A3jvtk4yGS/GTdJxX3GEk6Vi+XktkVo7nEPehJJkzmU+tYDdVRdut+dTtrzoJ17p6AIaN07SZe/FsSttUJZg4Q0ce+UMkkW13M2w8bVdbUSueSNmP1TtmNtw6ZqHfNS0cR+xvZscXZF82irYjvR+EmvCr+P/2l6/ZG9SuNUXzQdl5S+hu6dKdvS5IIGfsR3+6vvVe9makif1sXSEx/POkrfgFD69AO0sE2RNOYDamX8TTkWsU6x7uqAQfd40INx/cx4cfu8fUdPYHzh41sni2WuZBTu8o7yfHPQx0GGjTYQWSs1Ax2AmZhQvoibklpJ6dNOENAxlIrnY0TFE0ayK7eVirNrCCcZq6tsG1FUI7UJaKRYrTqEs3jYWpLOxfQdWk4PFrhnV9tvOrGU9pzRLsQrUX6gjcqYjOkb8WpbXC/ZDf0stVXHQfIJaPTlIkptayiUpOilIekMwe8q3uPUt774f8054wh+cqzApXbXlGxomwXTc23ruHcS5ClFgCQCoyUh5Q9QPsnbNBukhvStVPbO2KZM+oT28T7gXIGPZqbWoh16583aa2zvuDD8nvUkxnSz8Qs0dfpSx5VU+oSYPpHgt41jFJS+R79IvZepIX1d5WCDcvnQZo0DwuCwovQpZ7epRC4xY6C+vtS47a17DmHkgYNL/aTtIaHAdJTqKOWyp3WRydVNUunTE9bYPp+407h3EgNq7Yx+ETE+C9BlCAz7r9oe90unwLiJezTu92grfVXUIZxc8oOmLn/5N1+ZyIV0k9SQEGIwr53MiQSvOAAd36cyuOOqU0Mz60TVtkJ5AqrnbNuGGWJrxm4Jtdw7iUkoQJcciiJPmrjutHtn4n1GvAsB3buUjQfsVO+fStsRfX+HZWnVinq24v60iaWoDLOAfM64toBu4o8jXnUIJ5uARvEebhq/yaZ2b+0mqcne2VZldLx6pCGrJIHRJkQpDWw17pmAoFBqErkwsxqxfWul7ygSzrIyOtFWOwbglL6mpE9LVom24w34tksH+HUOug+fRLxaZe+UbAvPtQYcwQeAuc3q3UwN6dMONqRELhr1Z0DM1tZRE4r2JmwrZ1uLtj9w430AgE/csodqUrFdTknvFHajbc5FRhtDQ82sawbjS/0h7th7BF+4bV/e52A33ZZSMrQFhYt4x8sem/9b7S7IkN2wTm6bf4MKPa9bp69dTB/9YtFPEND7bdJ2HMsot43ntKJmK8nTYNg8K28kbtS2WoJPk1XFScvv8XH7OopZ1hjAeHJjhpLRaLMVqApXg77W2nchpRICupg+rk6fRjmK65sSAYroBtvZvkUCk23bMJ5wyKmjinPGqoyK+4wjXrF9Y+LVIuOp9l3KvctUMfwr4d5Jsl1lnT7qFa61zQ5qE7aTBKZBcXaNUjdhmyAgqfYrofQd3F21OTYg2I7qKEeUm8b0aYhXekpShSYxfd/9At02Ny20HyxJnYGu34Vz9u/+bnKVOLEhFGd3Cdut3TsZgh/7pcQUkT4l8SI+YFH90WbgbJranUrkMnbv1CoZ1XXa464qGXpXRe6Dr50lpupLaQa1d+wNtc/uO7CU9znY1QzGJ/ta7EcdUnTS5vn835oMgUBhcElcMK17JzVDre13U6UP4GOtNOBi+jS9oWJo6igwwGTMK6AnblSsbt2SDdSmyc8q81yrn83sd9JzIfxqVeG4fZ123DZadZT2HtA9mxx50pVsGPdz0va4X2J7jggo3guSiyUgf39E8qQg2kExa6r00US5ntrWXJmlyOq4MLzcNtiprtO8SzlldmXq9Ck+Ilz7dEBhO8IpZidsSJ602STLKozWbYFTUWolcmmh9H3hj4uN6P1TEN07NbYlpU87u9xW6SPiP1O2v/pXceN2tqm+1CWzC9tKqxP3OHWtgnHd88G5IKcgJZGpcb6mh/R19ElJgLLSF06DtmRDUzVBSuSSTl5AK2aA3jaZjEUzKz9q7iKTf/RLd5o29qdSZiJ+A9JNyY9+3di4MjQz4wBwx94jE/aKSM+sh1+KaGsH8sV7+YztdKZFzjY7INYkY2EGtloiwE4uJLPb0oNLVU0tMHX6lO7P8zPhI7B942zBbvaP5KB23M8J28r7jCpLUjumL9u+lps7s+86JU34xCJyW7ZAei33zmaTC1xMn3M6F31OJQTke5zzmAjtda6KdDyh3suEO2cata1NEhnONRRIEGXBJTaV+M17z96j4Z0idpsnTx0l8QqWquu07p1cW43to0H61IlcSvbjv5cPptuFBmXDpfVk40lbE82VbpKfvkbRN2FdG6WPS9qjdkvlSEcLpa9p27q2K/tTEM64XUS3FM7QJpGLdK944T5TQVD6UsmdCpge0ue0g5W4fVX90Q52KiUbaqqMRUVhnLlNbpsrZsSAQ1O7jYqDqVMLrI2LTHH7se2aMUvR7rhTSVATWflgoSHr06o/f/7p2wEAA+LiaGfWy1k0ta5zwOTx/cBFp2DTHDc7VbVdsRtn1RXtuUGa1lORT+Oftlvcvthee59RMWbep8nXo0/bCgB404suyZflCWjUsYiTy9UJgwp9zW3Hdcp3Smwbz9237j2Ae/cv6gyXoCMgvGqlSZLB3WNOpd7EflYn7orrOQyZLJjdjqbmHN82ZTuKO6xrqUq1qi53GUmX+s4l/Bmro7zdVMmG1D3KTw6kSbrkEptSGTkPlbA/xQSYH1VnOgEl8RIUGJV7JzM4VMW3CYPalO0k6dO80EpqxmA5/P7jKxLtmHOmPebituX2RzORSx4Hyam6KYIvXOu2CU3U6hFxztsmkWmq9GncO8v7PuXiyf+L7p0C8UoRzpXI3lk+179wAzC7sdY9OjWkTz+4q36E6hCBIZHIRasIRJe74uBSq6JI7j3aQW3TRBVUco5xRsdmgyxt6YPyNh3lYLrYN4rgazOHltHp6NyAX3jZ6QCAnVvmK+tS91lcW1W99P0u9rHbdWp3T8/YBZrfK4BOJaQGpnFXmsyIoa/NJmSGRMyr2oUZQeXbVlT64jrl96ftpEizmL7JtvH9cGBpgCf9zsdUbctQxZcJCozmvcDdY7oYsfgOnlyuKZsQ23MEJvlcs23Dr8a9s+y+DEQXZtE076qoIJzceDq2lQlj+GUT0CjONzUsrKOOcudcQ3SbTkwk3TtV2TsZtU5TskGq09cmUUVqQBz7WLfteCeT7YfpJHWhGTOg1h4z1Ta2P5qJXEZSxtOuzlWxqVtqyr3zaMb0cW3r2q7szykJY5EAlCbEk0ofd74ShDN5vhOgCOeJ5wJbTk2r/wVMDenTxsBQ7ibaDz6QlWxoqJjFD9SE0qcISC+ubzygHjHF2VXnrNp2nPym2ay+xo0rtJ/8/5gkp9tSAw5N/IwEbZmMU7YtYLbrGrnjjr/5ze4zABgWCkfOKBMNAdl7pbSsThKZ8r1yxQUn1WrLJdhQF90mJzbStocjQsFXPpt0fFr4TX6yiWcrtK9XGmTiG6bMUDsuDZK1q/Ex4mP6NAQk/FIKjCYTsvdMnJcqti38tvFcIJOpaGwLSWDC+jQJod0NFW6SjEKpmdCJ9yhb704wLZEnBwVJZ9qq1FHRJVZ+J+b3CRc7qlH6Gsf0SeSpmx7gsck9lCpj60QulG1tTF9JzVC/k/Kp0pLdGjF9K1Wnr5bSJyVySSlH0n1SR+lrqba1IX0cmrZfCYVTrAPTwr2TjTuVuzNpu/09OjWkTzszTpEQ7eAOAFuyQRsPGLev2NYqZkw8SQp08enwq8kwSBHGsF/ZrhQPoopZKm2T1z9LtqTdkvQJaOgN1CUAiMmB8b4TtlHtdx3bwGQil26ng8HIq863B8gbyjmoPgJlF833/OQTsv3qVKvKMatjXsMv5cKsvc+4+NHUe+UDN96HvYd7k22Vdfo86Hd+HVU3bj/+t1a1Cr/xOJ/z6FPU9rg9a94pUoINHXET3Du1kwPEJBSQnsSSMoc2TgLTSV8vKSGKxstFcu9M2+aVunTbFFmVes1f61wdVSl9zOSCijBW17Wr06cp2dDW3ZAhbisS09e0vqA2pq/Ud+1gNucvZdv5C0m2SbbFCil9wqZtErmkyKq2GHG5+bYzowFleyZ5jub7xWajbDYpn1Tb4r6lQXPjmL4USRcmRTTwnp4c6HSVKnq2eTPraw/qLH2EYlZH/eETuaT7mNuecO/UKRlSbASXYn/CNjGo1bqBeeLDq3fvpD+eWgJTIX1Ku2GbyTbBbrZfpbJ62VknTCzXTi5QbsDlfXOIu6dcHbVKX9zub17xpLwfWuWI6rVTti8PLrUKimcGh1qSHp/ditueMg6SSuSiyRAIAPtKhA/Qv9el5B513J9pRVluW3Z/fsqFO5P2ynbL0Fyv8f1NE4G0ssqrN8mxOHO+tOUiypMaeXvF9UrFp2mUJ664e9MENNqyC00Jo3StO86pJt0bx/TlcZDVdal3qdRv1VjDjxj1pmUil043PZhPqowN3ddSMX2iq2KdRC5u8v8asCUb6sT0rZDSx+2fXNeiZIPkLljHvbOMV385EL82Sh+gO2/sh7Ih6XNO2W+J9LWYFGmiKD/8uXybim3G7npU+rRZ+qRELtq4I7JkgyZuKLsZqUQuqWQslHvnW19yGQBg+8a5dL+Jj6c+Ayet1Ona0rOtWgLDuXdqHmuKSOhd9sLvMx95csm+7lpTkwPjfWuJcrP7zHuPf/jK3QCAx51zYt6PgXLmj3oP1yEh1ARB83p12X5T14tQ0QEdiQCyfhPPNZCeDHrGI3ZhVyl2M+4pnchFik9LdBr0BMF4IK+7x2NT5nZl7HKkL+5bo8BU1+kSovCxcVp1k3+fic2z4uzV5ZqMjpxbakdBOMeTlc1s84Qz/KYIZzm5U2irI4xFOxPtFVmv+WutOGeC0tdJ3GdDsd+Ksj1t3DtF5Uk7mGeIQNJ2LF9pxwAAIABJREFUYlCrikXkCEyDmD61gsEQoHzAoDnfTcsmlFCJEVPYbqP0kaRPo1DG+7/UfmYOmFmAbpSF6kyr5pzn27ZU+k44i9hfqm1qpqmh0pcs2cA81ydfBFzxi9k5l+CZd4Im9nOMmfQmxwfCYCG9XT6gLpy7Ou6d1GBe5e4BOpFLXiNQSUKKH7Dzdm5S9zsoGZPL6sSxUEqdpq00yGqk9OVucwryA8qNqx5ZpY5bc59RylHer9Q5y37LtrWq1YHFwcT/Z2rc397Tk0kd53QuteTkgk6JCNtOLq9TsLu4fdG25l4JiVyqhFFje7brcOKm0sRL/O5pno8GSkQElcglv941CVCdmL7Y9jXPvnBiuc5dUBiMu/S7VLpHm95n+bVWxG+SsYgdndeD7CYptY39bGabSyKjeb486LhTHcEPv00nklhltUYCGi4uT1cXkVb6ku/SVqQvpTw1zOjYUbqWijF9CiWjdd24Ju6djIqSn0NNv6nzrYihrLQp7idBBFqpowxpA9Kq7IQdjjTqicRk2xpKX9t4wp/9ZHV/Utv93wPu/SqweTe/jXS9ObdtIH3ORPdOBUmXEjTVuEenhvTpY/ri9uMTryYCI09+hNQEhkjkoo+/qQ5WtAPiuA2VvVNnu/poattKg6xGMX3KwXRsu9IKZcfp3IBDDCX9clDHWpWWa+/x8nthrPRpiDJdxBnq54su7q5OsMGpbYrBONW+lXunMlkRlcZfG3sqZYPU3OPlZCxA4XonAm7LExs1OF9+Tq96+K6J5Sr1h0lUFNs3j+lrnshF/w3g+62ZuONIRMq2nIlSlzGVO2exbxw44qVz5Y33WNPrRaujcXe6mL7qutR9lmfSZ1TCxtk7NXX6pEQumvidVolcUjF9DWMROwo1giJuHeUQNf9olgcadUi2RJR9vRdk0b7KvZMjfU2zpWomBwQ3Yk1s3IbtwPnPoG1P7F8Aq/QpCeuG7aX9JYjXd64Nv4fu47dJlmxgyl+lSjEks8Q2fafUqck4Re6dmo8uQLttjJU+XdtKyQancw3Nlb4GhHNIDGrr1hfk4qVSoOr01U4L30D9AcbXJLrP5XaTLaNL0+Qyfd23bPvSDrSlQYZDIaYvRfpAD5S0GR3LyJWfVNYdSCoKVCedHNgqCKOkrMb9SsiVPoqkK92+m7r8hQmVyWXjCebUtQbjOldvEqvY9Zmu7r2QzxNnjal+cOCv1+R6qW25REZsn87eyZGQuD5tu/l7oXqtAajK9lAeE6Ev6euVnzNOtVK4d3IusUDinI04l9bJvlHgPD2ibY06St2XmnIR4299fdsyYVR879sSr7Ax0V4zwGMISts6fSlF4WgofedcGX4f8Xy5LUuU4w3eInEOkCbapz82/M5uqrbXKH2Ue6e6LiJxrTdsB47sk/s9yjyCurPVdSqlz1VJF6A/Z9EOCcH2XZ+X+6QpmyCh6aRIUq0TSLoqAY3gPbAeE7l0arp3TsT0KWOe8rg6yr1TM7AkXNDqxphR/dbXIasOiMO+07PbbWOtqGx5WjdJALjmxZcC0CuMQJyco/utLZFR4S9K4iXH9MltuUlLzSCp2D6im41SVUofM16oFdNXeqtoCCM3ONSWHxgyg2L95EJ1MN9RP5uEa2j2m7LMDai1/c6VFBTfC7rrXS4X0SSmrzwgr5XGn3STbE6e6ihPVIxxsW8chozKqFEoU66KojrKTJ4B4RlRuZYKiVySMX2C0tecPOnOmXStVWUXuOsljcUT96hK6ePitIC0mlDcttxeVbLhKGTvTJIQqd+pAXGhX8VTHq/dnpvltkf2xgYlu3USuTQ8Z8X9VwcMSqWPi+mT7jPhfG/aFfa9tJ9vPhJsq0jIkO830FLpE2wv7hP2pxxYUnjZP4bfZEwf86HUuneypUGakr51q/Tp3O6owaXWTTKuryp9yoEl0X4cxC+3pT6etUpNeHpArLXdVIHhZqjr1AgEgLmZcKsqBZRsG8LVUHmtucGhlnhxsT/FffO2wy81oK5DBCJqxfQx7p0O6WsN0APEVjF9arc77nopYzCJQbFGBQHCeaVU2dBWtsu5/LnEoDSCVPqU17ucYbZJTB8Xw6+L82qmWqWUPo3tJu6d3tPu/UBQLZsnJQm/bVwVNXGQzeMJ5WQq0vWSiZfiPcy2rUPwq+tS44X0PdpigBbXs20ZAgHoXLn8CPTA0hXWC21bJ3JpqkYIJGbvt+WmH/ut8Hv/N0t2lcfM2dVkPJXWazM6khMEKcIokIhu5hYrKn1RZSRcaDXkacRNbCju8fHGzHLJtvCdSk4uCPvdkGVqb/x8pK7XCkyKNJ0IKmBqSF/9kg2TbYG0e2deZ6+h0kcphXq1rTqo1db4i+25MV2T7J3amXF+kKUjT+NzPmlXM5dDuQapSUS2mlaO0rYlpS85GPeTx1zXdnmbOtk7R55z79Qr6c1i+jgFRktgwi9VTkX7fFRceZUTG56YUBlPTqQGtfQJV6u6+fbV90LqepfvUUrV4JAiT/K3TxiMq1Wr6vJ6SWQml2syOKeUI40izMWIJfvNTGrEZbo4yOryaFs6555VCcf7luwCjLdhm35rbEvnLKEoS/dot7Oaxdk7SJds8C2UPqYtkFYUkglRtEpfg2HpnpvCb/9IyW7cl4J4NU1+AxSuSenYte6dTVxiJRIRidxoUF2X287WUcRN4+rvuVqUNZQ+0jaAbjojPQ0H+VoL63Ky2iJ7Z9P7TF1fkIvzXYdKn8sGpdo05RNxddHjQumqWB1Y6rJ3xkEBXbKhPgmZyTqujWVk6/QlvyFVwuicU8dkhO0nl6vdBUsfbm1dw7AN5VaqI/jjEhnl9jrX0lEL985B1rmZ0sjWOUUsCar9q6P0ceEg2kQu/cEIc93JF7lTqSBx2+qECqBRzLjrpVfhOSU8XRieHpgC6ckJXoGpp4QX96C93oOhx2zhHqvj3knZLe6jidoWl6XON58FM32vSDHGxfWcXaA6GQNAFV6QcpPUnDM6pk/hljqSz5l83DxxAtKEsWin3O+mGU91Be2jHfq4JdNSPKAqORRbnL1OTB8BtXsnRby07p3MiyCZWKRtTB9DnB7xfGDXo+S2uZ0yiVghpU+TPIfsT8JtL1nmoiHJrkX6mip9Q5q0aYlycduIF/05vbzcN3ad0iUWAF78P4Dnv7nal6YlG5LXOv/40G2L29Sx3Z0FRn2+XQlTlL1z/PGiEgREUCREq5ixSp/T124r9hXQuxtK/dbEalHZCXP3tcTQ1KP5wJR3k9RnVQTGxzpWUNJtSVdDZYxY3m/CLTVOLpBZLjMMRiM2kUtqoNPPEq7MlG5kbRKZ8ja1s3cSc0Fa17/ecITZmarqleo2N7OujcGMLsjUYF5jmyJfuZqtUGa5thqySn6zOzqSTX1HtNd7OBqhW7jHuEkK0i6i3eoEGCD3XaqB1lWpPxx5yvYv7IC7z5zivTCO86VtJxPnMKqVRlGWFLOO4vvjPa3katU6yb0zRRiL25bbN82WWif5DTk5niDKOcluODERBmhNi7P7yW0njGsTuRytmD5pUNqyODt33JqMpec+Fbj9k8BZT6zaLe67jl1A76oouXeqErk0OWeKfjclfa1i+uJLRbhm5zwlJJopY9sZ2b6F4z750fw6jZtkxKP+baltS6VP61rKuXcCELPE3vkZYOOO6vLunBy7WcLUKH3dGoP58uBQrbYx7iLqOn3ZYH62MFWcfziT3gNV2+OsjOmb3JMEKP3RDuubJ5vgPvoa9QeoEu1x9k4d+aEURkCh6jL91mb542bWY79SbYHJ+yT2RSXWlbapowhz7xxV/I336A1HmCv3u6MpuB1+q8qRblKESlQU+61N2sOWbFAcd9W9M96nMjilTxvzSqXEz693Iltrv1VMH0OeNERAcLvTqNlSmYtgWxjMM8RNF9M3uW0Rmm8Aq5gpyGravVOjmFWX68iTTLLblZoQOg2BKCs8AMZZYhnipjjf1CPR7Sg8LiRXLKCd8qRSnY6G0ufSKghAqzQxtk26YA/cEn4fumtyeWdGJi8A8LBnh9+TLyrZVcy+rUQiF+68pIhAKpGLJuEPGR+giOnzUkwf5HMW9y3G9Am2nQMWthLLa7iG0jtGY/fOXOlrEfPatB6kNvXbkQeqy7pzwKAntytgakifNvaHilnSqm2RgJCJXBT3aIyxmZ2YXQ+/mgFD2L7QtltD6fNEWvl834pzxg3QFIQxbltEnRgxoEr6tC7MHGlLuuwllCcVCWFj+sSm+X3SlCizSp+mZAMY7wPFwHI4CopZhfTVUYQJ12lAcb49E3ekUEelzJ/BtticJvhK/iTFLGlj+sqm1Urf0E+4ENchfePnunzOsn61IE9NYowB3STWeDKnZLele2fwAGhGvFQxfcT7v9heN3FHnG+FSyxHvHQEf3Lbyfa6b09joizcZyl3XPEeVSt95Ekbr5faFredaJ8oFj5KES+F7aNVpy9l+yvvCb/f+PuSXUWBdM52rTp91MOpVPrYRDMp0iddrxbZUjsapU8oF6EiT54mq6qJDWZSJHe5aJiMRZMFU2oL8PdafsxCTF/jUiyKyQkO3TlguA5Jnzb2h4rd0Sp9XMkGbZxXb5DFapFKX3rAEG2V+61OSV8hEXolg3Uraqj0ac9Zuf5a7jmgJD+VsXjePtGWmVnXnrOhp92pNG3j+46aXNC8E667ec/E/+P9vthPZ3jynq6LFUiI3Da6pc7OlEmfbnAHVAeH2mQqVCKWYFsRazUabzvRVu16TbkBh990IheA+gjoM7VW+62t09cfjcjyMRqMB8WTy+vExlEeTfqEKFTb2DeBcGa/1Wyrk32jIMZ5KfpNZXkt7k9VQoA5bun74b3n1TqFhwwfQznef7N+a+Ig5fIccgZOXq1LvZOG0j3aUeQPaJXkQhjMJ4lXQjkCWigZ2kQukvua0P7eG+jlnRmFKxTjWpofs0B+NP2uUQetYr9VIpeGylFU78QJAiGRi0t88IdZDNlwmWiriINkY141kyIS6UsQLwmpZzOVaCh1zkQ3YqXSR2G9kj6tAkN9wOrU4wLogt0a17k48z5HkT5Fv4GSW6pyRp9VUfIHTO4354KWGmwARfJUblsvPi1X+pTkPm5TUfpqk2z6nCUnepmBaVwnISp9VAym5px98Y5JX/mb7j0AAPitf/4mtflk38B596TVhN4wKtmTr5UHDvVwy+6Dst2EsqrJ3skluWieLTX8au6Vipuj2GIMyVVRm8il3LxO3dFi3Gi9RC7jfhZRz+WPI7sa2wJ5SqhWxX5W2krkiZkciPvTePzRrorhV5cFkyCcCXWUI+hhWfr7w6tt6baSYqZyGQfnWhrfw01ty+csdY8CifdKqzp9giKQytSX36QN49OSSl+L+oIp23d/iV7e6aTdO1mlzwGdRKILMRaxRomNIl7+YeBnPqEgbqk6fZrJAYH0Ha2YvhhDdmhPdV2b+0zblkWi39K1SCVykZ4toIZ7J5e9E4ljA3D65dVl3dlapG/qErkk3SQJVyxt7E7u3llKsKFxIQNCZsNye31x9irhHMf0pWeYAWmAJvdbjulLtwWYOn0al9hhifTVVPoqblxad0HuWitJyMjTylNYJzZlz5lGBaH69uCR8MG75T6ZeAEgYz+D7TRZjUr2HJFJ6Yt3PCi2ZUlETvKbqT8ad0Hu+dCqjJKKrlEZOS8wldIHQulTvlMGpZg+KTFRGVzfdGUTeHuaBDY8UZb7VlzX5F0oJaDpdNLJVEaElwlQCE1oSEJS8Z9SbJvKRTOhtrVRdZte6/F3k2/LZWAGwnGL9QWFGMpiiAA7gFqROn0NlD5ROdKoKEwCGgDp4uwrkAUTqL40OzMK9854zoi+d2fHyhTZVuMSq6h3B4zPcUwok7xekm2XINmJyQGgOelLqlZZv05/DNG2hRtxHXfcf/MGon2i3xL5T8UiJkuKpM6Z5LYdn02h/eymaqIiAFjYBiw+xLcrYYqUvmyQlSASlCIQBz7pbHcZESh9wTSuPQDQz1PxF2fXlUofMcusjt0RSITKtmcKdisGppIioIlZKrtUaeOsxtvQg3HNgBhofs6kRC6aVPqUbW1yj9j+/J2bsnbpNhGS8pR278xI30z91wrnBqaaVQcfQ6mqBcZc61pxwmXSl/2mM+PyqfQ1avbI+8o3X/teGAxHlXeZGvG5Zp4P8bsrkCfNu5TzPKhDOJtM/HGTMbHfTd+j47g6wfZoctsiUorZiLlWsW3sGwf+fKfbSgqlZuKPUxnrqKPk9erI55v7ZgJKb4+VGNSSg8OU2qZw70yREEnpUxVnp/pdp2B36cS6bnOlD8iUvobunZr4NJFIaN1xGduaRC7kjIyi/EA+qGyg9EnxgKqYvhUoaVJO2hPbSw/mgHBHjdAqfU1LNkhu25pELtw5m91Au9kymCKlL/xqajyVnxFtXB03GNe6d/ZHHnPdzsQHcBxTIbcd5h/P8TLnnMo26+aiVM2o5DcAdFkZmSxoave10oBcM9AYg1f6Us3jtS4PivUZT3kvgNQ547NJ6ohyv+RmedFpIUvWI04lsmWVwA2yNAS/bDfi8rO3J4lgPjgs3WlqtY1RUTQuZPykyGTf2PZEeQ7NxF3YN/NsKZW+P/nEbZVl2mytUrKhFHiSPrlebsuR9PQ7nFOOAB3hrLwKNapV/i6jFEpt9s7q8vHEhtSW7jeQJpyptsVtuPZSv+XzHX65e7ypgt9aUU6dM8GVN0++Jt4sqUGtpFwJg8MkEViBRC6s+1qqZMMKZMEEgJkNk//vzKQVQolwptzf2iqU0r41yW9chyfKmvtEzN7ZsDi7lqxyKiGQvk9bT4pw5EkifUv8utTEhCamTzUpIh134p1CkuzZsG9ufXnz5BbHCbRue5SLjcZVJKyPRKA6u60hMP3BqFp7rYaSAVQH1JpMYnyhcR0BAkME2rh3auuQlTOmamI5ctsj3o0rXZOxqsoW22vILl+yQWya942+z/TnLN4r/+aiUwAAz37Uycm20gAvZZkjffOzHSwP5IcrH2SVyZNiRj+057MTql15ywp+DVfgNiUbmgxKJaiVvpGfyCRcB+PBPKeE8205d1pAm72TS4gyXs+BnQDL2ksTf3EVp/6kY/oYVbeGakWrdYnyAwmSDUBU3PjC7uP1HOTi7DoVXlJH5WvNx1VrXWJFki4SIJ9Q2xJtw8ZE+4SLZSoxCNBMgQH07oZtSd/WUyf/r6nTF8tUsKRP4d7Z1B13WCBWZRKUUn+4yQEgfdySe2bbmL4U0Y5tyXtcGZfXZmKiuO1Ee8jn+8Tz+XVtlb6wkbBKcMdVuV4zdRG7s+FXuscLmBrSp82qSMVa1SUC3UrRbF0NtDDI4pSj9AAt2KqvMqaUjLQawc+sN3Xv1Loq3pzFoXVKpE+d5IIhulr3zmpMn1bpE0o2KK81VRheNbkQ3Yizvsd7rq+o50i5Kgbb6Xs0ErsK6ZvpYnkgf7S5ZCraDLWie2fipFFu10Cda025hobf1LPlmWdLe60paOt3DoYrr/SpXP6iqyKnzCZuU87dUBVjJsR5pQinGNOXIIyxX2K/NYSTfTZlu1xbtXun4OYonjPmuwXoJv5S1zoV08dNvKWUdKnf+WRQKpGL5HbXKqZP4/J3FEo2pGL62hLOiO3nEHYVpI/td8q9M3G+4/45FN07H/dTpfau2UAeyMiY51+Ikoul07h3CsQtSfraxkEeJaUvlUxFImwp4qVy75T6LfXBlTYqYTTKiDJB0Ltz4VeZzGVqSJ8m7TUQPhLVdN1O9dFm6/QpXHuAkN2wPLOuHtRmXzcqHjFVf43LOqeOT+NmqBODjeK+q+RLp9a9+/N3AhifpzqJXDyqxzx270xca869U2mfI0+qtqyirDvuZzxiFwDglVddAGBcF7KvqdPHulOlCUzc/9zM5A4WZjtY7ssPJp9sKD24A6R7NE2e8mtNJGgCNBMyI5Y8pWL6QvZN+tnSPB8UtPU7B6PmMX3594u5Xpo0/lS9u47Cc4F3+cvWK8hTo4QoK6JQVpePFWW5bbBNt9ecb5KDKF1iueQ1YT3fVipzoYq3ZW2P10u2uedS6xJLkV1V8jXWfU0zoy+4KuakkbGdx4hRD4iW9DEkZCXKRWhI3w/+QamtMqaPG4x3Z5RKn3SjSe6d2b6f/2bg6f95cl2K9EkuedrEIqLS11QpTJzzVCxiynbSvVOhmHHkSfNsPfKHiKYtE7mkBkmqkiZM+8UsI/vGE6vrctK3zpQ+TWA3EAYj1GCjqyBubEyfQk0AgntnRelTDmpZpa/rMEylZm8xKx/6xsVL6QoSx23Lbeu4r8WBrCb2pmy7bBfQF0gvE4GxO1SzgSmQJk8DgQBpTtnWhSD3X3jyFgChzzMdp1T6pMQiOsVsrjv5EZuf6WIpofTFfVNuwLFfcnuQillXoSbwSXsy26lrTbgRq5U+8IPx1kqfwmW8fH9rkSp9ICowOQmhB9Tpd4qs/qQITLBdXZdOiJImMDL54t1KgVT2zrGdanvZ20MsNRHj0xLHLSlmqgQ0jKqrudYSWZWezeHQVybOiu11dREFlVEc4ElukomEKFIq/lSMmaj+aFSrFv0Wk3vUIH3zm0ttle6dotJ3NN07M4VldmP1mmnS+LNKX+paR6VOIl6KBDZNSF9+ramYvhaKcq1JEaZ96rkEgGf91+q6FFkdpUif4lrHPpJtwR93/0j4nd1YXdeNBH+dkT5tpj0+PiFN3KTYH43SNyAGWflzrSARwXZV6dPG9HHZCTVKCKUIaJSnPBELSfpku0WUlb5v3L0/2WZIxCxplbqx0sepo7JtsWRDkkQwypPTuRH//kdvATDphjzb7SSVH4AfZDmkj7mfu3dO7mB+RqH0CZMDQPqcUWUTYnuNUhf6XY2XBdLHPRzxg8sU+AkVnapLQRvT12/j3skkNVElcmHeCaG9rji7NCkvvQ991paNo5RIhOTypyCcvIquUEcFt9SUe6fslppWsyWvhdTzxbltA4CDomQDk91Wo44OmGcLSLurx0kL7h4FEl5FXMwSAFWRc3FgCYUa0TSesGW/k7aF9jsfSS+PJRtS/WaVvtnJuDuqbbGPRahcFaXSB4pELpy3RarAukS8NDF9MZNll2nfuLB7mzp9ivOddMdVEC+x321KNogvhWwz6iWeOGdRxYvxe0WsV/dOzUcX4N3ANLFxfNHsoMAk65gNq0pf3RqBTWL6Yr+4AZr4kIAf1Orcc6KtqhJSS+mLbpnZ///+K3cn21AxS845lW0pgyagac8PlLQxfVTtN805++6+RQCT9+NM1+V19CTwSTLSiVyWYyKXUqbOhdluMpFL61p53pOuWJq08BzBr1PeoxJ/qSzPPmDUCKd8p1CIEzQpt+82ZDXuueo9oCMRABfnpUmIIiswKducatVNuXcKLn86tY5PNgTI95mkPGndO+XyAzJR5m6T1OTdOPsyN2nItwV4wukU51vKTpvM3plf6+q6rmJyIUnckuSJO+GpDINtE7mk+q1R+gTbkmK35RTgjMcRbVsWle/MNM/eqYnBlAbkmrqK7PlOKU8C8VKRviyTZTlbamyvcu9sqOpySrim34d28+tSxEuKO82VvqYxfSmVMREvW+xfGdLEwnp176zjBsbN1GoVs/JASVtgfTAcYY5z70zZZgamXZeO6etn/aqqXkqlbzSqJK8BoArEz92pSnea1lUxIp7jhZl0StoILmZJUwuMy0SpTRjEuRGHdWJTdpDWVZ6zWKJh15aFfNlct6Ny7+QytWqIcj8vzl5O5NLBUj/l3hl+uYQoyTgvRumr495JKauhb+l7nC/ZkLZNq+i6SSwKOQFJsN3gedDsE8C5G2qSQ8Vnr4mLZbCdKiGQIl70utQ9zsV0A1DFf46YiaBaGU8Z4qYp7N7UtkSU04oZr+o6hcs4W5xdca2D0kff393E5IIUv6nyPki5SaYSuaSUvkbunfHhbBBrFfepcZ1rHNPnQZJdVYyYcM66cy3cOzUxfb2xHap940QuCRdNqWyCxr0zkr7Zheq6pCuvIpFLKp6QJDCKTJT/9Orwe+dnCNsK4lXs40TbtjF9bSZzEmRXJH3xnK0zpU9NnkZ8UHrTjI456UvGPBHunUr3NTmmL002geZJSThFQEPccgJDDA7rKH3RfrHem6beHRWzpEm8wyl92sG4FAejdS1tWubikjNPwI7NcxPnarbbSU4OxL5xLmjpmL6wvlyTb34mlGwQiyEz7msxyZLmWvOp9Js9HxoXMs52/F/S82BULeMC6J9NCjGGU1ecvaHSx8TG1SpyzqheqoQoZPIbHYFhXRUTyVikUhMal79kUhKF0tck42k8JCmeMGVbUvpEgi8oZrrvh3y+RXVUULKTZFU43yrvHC7THqAbHDL3qH5gejRi+lxiIK/IJpkkuxLpS7hoHhX3zkTinGK/Og2VvmQiF6b9SFLbomuoYLsfPIJaKX1Nr/WgB8zMV5dH4qyJRSTvRQddXJ00KdJQ6UvaFiYmOonnWuXeuc6UPm1B4hHjBjajIH1cTJ82c2hfcO9U9dtVBywznXSsVhyMl93u4tA06f4mDKjT/R5vW25bZ0BLDdTSCiX90Z/rdtAfNFVHo23N5AI9yNK6EZdVGO056w2qivJMV5vIhR8cpkzzdfrCC60n2B8PDpvdZ9SzBYxdkFOKAMAn7dFNJNFtU1eLfbaUhJODqpRLC6WPzWRcQ7XiSmykbtOR50hEXM8bl1wVkxkds35R7xSN23cbt9RUjJkuAU11neYeH45ol++4T5EwCte6larbMqYv6ZYqEGXVN3s04AfzqdIHnOIV2wLNBqaqchFtYvpaKn3LB8ZxZkWkYtviOo4od2baK32S7djnGULpS2aT1Ch9KVW3YSKX3L2TIF+t6vRpztkSbxeQVauTvy/87nx4dd1wGTi8l2+bSgIjKZwqpS9BOKU+drbeAAAgAElEQVR7FFAofQTp66zTOn1xwJaKW2KzEyZmeQEpri78ppW+EWZZtU1syrqBaZLI5IPxygAt2m6m9NWJjSuf8jZ1yCIGqaylzEd/YbaTrhuXx28y7rjJOEqewKSOu8e4SWrP2WJviI3zk7PMc91OTmQlcEkyNEkXekIiFwBiXJ+Y3EMR59Uf0oXGNbG+XHmOOsXZK4Qx+00rffyzpbHNQaX0tYjp4+/R8Ns8Hb7CJXZIu21rCo1LCnzq+eJiugGdp0mYcKwur1WygVHMmiqU4xI2vG0qIdakbaGtoOqmnmvvfSb+NFMoORU9tteQ1abJbzDsC0pfggiMhrJKGDrItwXoG+Wox/QpXP4k2/d8Bbj3BqKtgsBIJDtZnN1P9rEITXxaTvoIxSxJBLw8OQAIqq4ikYt03P3o3tlA6ZNcWlVxkD1ghnAr1ahWj3lZ+D3zidV1934V2H0j31ZK5AJkExtHsWSDFHcK8IQzV/rau3cyb5bjD3HwkRrocFn+NHFekQhws9tpNcJjYbZEImoMLKnBxkzH5fF+HMZ1yGgCkwIXG6Fxzxmndq8STk2Siqc/fCf2HqZvZo2ySg0OQ7FwuXGfTe6R2U4N5oUZ6tRxx76V3SS1LrGHewNsmpt8qc12O1hOxNUBmQcCMcscCL7ctjekiUBU+pb6w7ycRBlicg/FcXNKX3Fio8PMnveZ8hyagSVAJ4fKPUUSWp+kogOp8QK/UpWYasjXF0xheTBEt+PYd4omsQinemnc7Ju6xErxaUkiILpYZsedIJxtkpIAjEtskjxlfRQS0IixjEKWV21MH51kKa2Mxu3K0EzISEpfqq6ipji7qEhzMUuA0uUvQfqaKH0q0ie4d6YUypWq01exGwfEiWQqFAEBghIikQhNUXlJ9RpEN0lCuUqRvpGgUKbIrlhcPfvOSgrnYDG0pVwGU2UychLCxDECiXPGKH2amL4Pvnbcx7rIr7WgpDdV+lLunRoFv1FMX3SJXadKX8qFrT/0mJ2hX+TJ2m1cnb74AVIMsri08OkBGj84TLp3coNaZfIbTo3Qxd9k2xJEWVN+QPpwa5Q+anCoSSySu/Iy8ZuqGLOGMUuRPM1XSJ/OvfO6m/dg/+LkC2D7plnsY8hzEYE80feZ1r2TiukDIJZtkJJ7aOpg9oejil1gPNiUBtSty3OMqkl7nIK0AfHZ4smq2G+hYzPdTvL5GBAKziuedr7YJoJyIQa07p3hl1d/0u9CLsYYSIyxGCU7tk+RH4CfmABS5SIYtU1BlGWXWKWySin4ius1GNETKkD6eknxm9p4QOlap4gyH9OnzNTaMJ4wEDd6giudJENQrZIlGxTEK1k0u2FxdtHdsAXpizXKbv+EYHvAn+9uwr0zrhNLH0jkKSp9VEKUhKoruncm1B+pZIOGPA2W6T4DGcEX7pMYD0gmgUnEQY6G4XpRtjvd7PlQEBiKrKYgxfTF5akYSvbZbKHgJ9074z0qxPQN1lkil/hR6icVHEYRUCTJ4IiANonMslCcPZ0sgp6Vn1EUZ4+DFcpdUGN7MKTdZOq4d5a7PtMNH900Uebr3WkUAeqczWWJRVJtASF+M3HOlvojLMxVXw4hpk9uy7nOpQoKF1G+F7dtmMXBJcFdIwMfG5cmulxM30Km9InunYnBoSZJEq30pYlAdPXdMDt5vbQKvpQlMEXROdVK8z6TJri0MX3l5+Ofb7xHbBPRG4wwP8uTVU29O95VUbY9GI3IWETNJFZQsmmkFDOulmRsm7KdyjqaKtngHOfqKE+KSPFpGqWvTemDnOA3UPDHJLvZcz1g4qqj7aZqtMrtWyRuCcVMUglTcV6S+5omHf5ISiLTkdU2icBolb4Ln1Ndtvvr4fejv8m3G/Zp1zcgDIol8iOpVtFlk4o1jBAJUIIoD/s8eUm5SUokJKpokstff5HuM5B278yPmSgWnpqYyOsDSsqsgsBwz4gEqaQJICt90uQAkHbvlO7R1LMZExFR98rcpvDbO8jbLppSbXUcIM5Yp+KWlpkZao17JxfTl7toJtof7g2wuRRrpVXbuPibriZ2J89OWHJBg862lL1T4/I31+1UBivzM+nkHgBwpDfApnn6QbnvwJLYluv3vKJuHHfO8hn9xIEv9YdkeYkwu51Q+gZBbSu7RKkSH2T9+uHLzphY/tnv7MXNuw/iwJI8g9Yfeloxc+k6feOYPlrpk9RVSckILrGybV6hDL/SeVvshX4tlElf/HaJyT14suocklLfcERn0IwEdFE4Z/F8/8bzqkWNZzqKUi6E+/NPPPEcsU0E9x7NlVXh+eBcvgGgm3T584HgM0lggJTLH69aaV0V6Qmw9DdgwKj/mqQknOcAoCCrgoquyR7dZ5TV2F4UvAT3zqSyOqJjhEPb8CvdZ5ynR7Qttw2/oqqbTOTS1L1TaqvN6Ejc41FZkQhMynay3y1I38wCsONh1eX33xR+H7xDsN3nlb7OrKwcSZkRI3kaCGONg/dl2zYlfYSbY2wLCARfIH0a9WewRMchAuFai6QvU1/JeMBEv/MEMgzh7M7J2VZzO8R9GkloSh0V4/KY6yXdJ/k+pRdxTyC6KVVXqMk4vyX8Lh3gbRdNqbY6DlBH6ePcwPR1+mgXzRQBOrI8xMaS+qN171zqjyqDUiAcdyp5TT8frEz2Ow7aUu3ZmD5F0oXl/qjipgjoXP4A4ODSAFsWJh/uOAi48Xv7xbb9Id3v+Zl0fBs3wMvj0xKJYJb6Q2yYo+8zTUIUznUuRX4iSSjfZweXw0vjvv0yUe4xSl+3k87+2RuM4FyzRC5S9s7ZrkuS9N6QUX8Uz1cko+XnS/Ncj1O7V9fNaxRlxm17w5ye9M0T7wWN0tcj3oXn7dwktinappQ+DVkV690lB+P0uyy2BWTi1h/QinBsr1IoRfWHbR6ea3JCJfymbEtxddI56zOxtoCu35wLMpBWzJaHPHFLZdaV3Gk1attQUODVbqmkp2LCtvcZCZFIX6L0QTKmr4HLX05gBNI3WOIH48617zdLYHzmbkgQoO1nh98Tz+NtDwf8YLw7I5OIkTCYj6SmL3w3P/5b4Xduc3VdkvQtp5W+RjF9iiyY/UX6fMf2qZg8gCZ9WqWPs92dUSp9xHE/9VfCL6fsxnPGkS8pkYvkYgmk3bb7R2hlNNoF+PZS4pxI+pbXmdIXP0qpOBZuQK2JG2qbvfMwoVppMwQuDYbkIGvrQtptb8B8eGOGx6h0sO1bKH3LTL/jslQWzYcW+9i6YfIhe+tLHgMAOH07M0uVgVNRNIPxHuOquDEOaoVz1h+OMBh5RulLTw5Qg3FA54J8OCN35fvsd6++GICstnnvs+ejes42zXdxJHGfHOkNsWG2W1F1x+6dfPtI/qkJgo1zM1jsyfd4fygrT9JrYSmzvaFElKMaLRGYRYYwAoEASW0BPivvBsV9djhbt3m+aluTvZN6F56ybTzgGwgkn1P64mSDdK/kZJV6Pjrye5h7BwPAgmIiqT8ckTHdcZ+aOK+mMX3chKPmG7A8oCfPgm3ZeyB3Fyfaa7Kt9kcjdKXsnVIW/j7tOg2Mn3XO22MgEHyNshrUUXpdagJNKmjfTU0u5C6WEumTjPd5xSzl8iel4c8zI0qkjyFe0XbjBDSJfg/7ADxt+4V/Gn4veYlgWyDZWqWPGsxrlL5znhJ+5yhXx0Sc15CpVweMj4clIUJyD+eCgihe6yWatAGymyNQUPqIY04pyhqlT5mUhGwL8KRx2APg5OeLJV7C+QaA2U3j80Khd3jsiknZBXiCL5HsnPStM6VvLvuQ9xQuTZySoS9yXiZ9YX9SFs3BcISl/gib5iZvGM3HCwgfT+rDuXVhJumyx2WDjBkeDwsD6t5ghOHIVwbEQJYRMkHawmCl2jYSIol8LfWH2He4h1O3Tr4czjwx3PgPHUm7KlZrE4YBeiqRy1JvCOeqJGRjdv2kQW3cN3XOgPTkwKHlQW5not8zaeJ1KCN9W0qkLxLkuJ5CHGRRz8fGuZmcUHI43Ksq2YBO1R0nr6m23zjXzQkOh/6AnpjYqFDMcuJWutbbNoZBwENH+FnHQ9mES1mNBsLzlrpenIIT7x3p+TqQJeuhMqKm3meD4QgjX72/LzptG5543okAgMPLAklnnutcoRSOezlXKGnVS04qEu/Rhuoo8/6PtqVzJk1MaN0kpbhT6b0QJs/o90k3MfnGxdoWbaeSyPDunXK/Odfp4rKlHkf66O9tRKpc0fJgSNqN/ZaILqf+R7uAEJudz8pzJCSlCCzyg/FUyYahkFQkH4wLBGaQsJ3KYpnqN0eA+ofD7ywxKJ7bGAbzvcO8bSk2rpuIEVPF9AnnbDQAzr6SXpdy+Rv0BHfBhPrTywgGRTaBdCxj73CC9Anf+97hLPMncc5ydXSRbhuvBVnXEFlMn2D77CuALafR61IlH6KLpZQxNaX0cc/13CZg+RC9DkiQvkRMn0SyO11gfqvavXNqSjbMllwVe4MR/vX2fdi2YRYPLfZweHmA83duxq17DuPiM06otJ8puZAVXXG89xj5MGB2rjprGeP0Diz10R+OsNQf4s69R/CIU7bAOYeOGw+guEHxoeUhjvQGeOhIH3fsPYzTtm3AKdsWcN/+JWyan8Fin/6Abd0wm5OfI70B+kOPTXNd3HTfQZy4aQ5HekPcm7n0bSkNDqPSd+v9h3H/wSU8cLCHw70B7nloEXsOLuNtH/8OfuKJwbWCIpxbFmaw91B4gPcv9rF5fiZPWtvNShMs9mSlb7E/zFPHxyLXUZ3ZncXsFdUHADhje7jx79p3BD5Lgz4aeXQ6Lt+Xcw4Hl/qVGMp4voukbzAc5eS7kyVL4FSrDbmSMchtlzG+1mPb//SqK/DRb92PD9x4L+laetfeIzjthAU457D/SJ8kjDu2zOOBQ8sYjjxGnh5AHshISPm44//3H+kHRW84HrSPRh5D7/NzQl2vzfMz4uQAACz2BmS/52cmCUwcGC8Nhvj27kM4ddsCPvPtB7Jtq7Y3zc9g/2Ifo5HH8mCE/miE4dDjhI2zuGPvEQxHI9x3YKmiCBeP++6HFrF5YQbf3XcEt+45hG/ecwALs1188pY9WOwPMT/TqSgKWxdm0O04PHikl98j/WFws/Y+9CWq7FTc6e4Dy/jbL30Pv/cjl0wsH0QleLaLI70B+WyNlb7JQVLxvRQne6jjnunI2TslhfIFl56Oz9+2D4d6g5z4AsifMQA4tNwn32XjSZHJeyXWXNu/GN5vAH2t52eCOlp8rqP74mDksS9730gkIh7boeUB7n1oEVsWZtFxwAOHevjcrXuxays9wxy/FYOSq/BSP7xD7z+4nB0jHasLTBKJ/nAUMo12HR460seh5UGlZA8wJjXL/VF+jpcHQ8zPdLF/sY8HD/fwr7fvI9sCgUNE8lO8Rkd6A4w8cPPu4PbDxeoCYwITJyFGo1BspONijDFte9P8eDIoXivnQv+7zuFQb4Bux5Ht4/EsDYbYhtn8mkcC+uDhcH9T5xugJwjiu2ym47AolIhJJYeKkzXUsxmv14S7e7G+RCQnc1vonc9tAXrE4DA+r4sPKchT4RvifbA76AFLWcgDNRiP5KIY5xXbRvt9JpU+wMf0jUbhJuwv8upNHOBz5KknxIgBYbAskb7lg8A84V4JpElE7rZH3Gcx0QlHYIAQ03f6Y+h1MwvjY6Mw7An9LtXpK14rYHwPUUQZCOdcIrsH7wN2XsjYzjKelm1GLD4IbNhOr4vEhLvW8R6d38r0e348CUD2rQuccCa9LlWzTirtEfcdn8PisS8fCscMjJW1MuY3h2vCnbPeYb5tivQtPpSwvRVYeoheV8LUkL6dW8KL6jV/81W85m++Km77/q/dUxmIff3uwJLP+dV/Ttoqxx2duCncRM9/66eTbcsEBggz33/xmdvxF5+5Pdm+jN5whEPLA1W/T9o0ebNHdeLN196CN197C9nmDz72HQDIB2pF3Pi9/dh7uKeyXUYcBDz7zZ9MbntyaZC2LRvkvvGDN+GNH7xJbPu9B6sv3LluB3fsPdKo35FE/OJf34Bf/GuikGwBJxbO98VnnICLzzgBf/m5O/Dt+w81sr194xyWByOc/58/kNz2nB2TH4IzM6L8c//zy8m28VkqYs/BZXx332KjfsdB2yvek7a9Y3PV9pfuDC/b8xLHfQoxmI+E6EV/9Fmx7eknVAcbLosve/vHb8XbP36r2P5U4rme63bQG46S52z7pupHKJLnH//zL4htgepzDQB7Dy/j5t0Hk7apax2JwBVv/JjY9jmPPqWyLD4fr3/fN/H6931TbE8NyA8vD7B/sY9zf02+1pQiFwfor3rvV/Cq936FbXvSZvqj/+W7wkfzgl//oGib6nfsz9N+9zqx7V37qoPHSDDf8tFv4y0f/bbYnsJ9+5ew5+By8lpT92j8lL3yvV/GK9/Lt71rHz1w/fb9hxq/zyJPesIbPipux6l1/aHHH113K/7oOv7ZPPcSekC9eX5G9T7bRLhOx/f6v/uz8bN5x8JLq40XttE7vf8b4e/1zHoJh/eE37c/Xt5u88nVZXEg+sk3hT8OXL8P3gss7mvW7w3bw+87ieycRWypvlMAhAH3F/80/KVslHFkbyARqX5TA/VIYq99XfjjcMH308uX9oeC85Lt866il0fS96fP4NsC8nF/8c/CH4fzmX17Hwj+b1YFkhxUDCMwPmcfeE34O/WSUDS9jE076fa9w8A3/iH8ceCU1Thhcc0j+LYSDtwN3PCe8MeB6/ewHwi6dM4ueBa9fGPwrsG7XyD3j1MKnQO++lfhL4Gpce+k3OE4vOnqSyrLKEVIi0vPFC5yCc98ZPVlTA28KPzqc6o38ksff5badtlNZuvCLKtyl/FLz6zOCP3HZzGzRCW8/IpzK8uuvGCHzjDowYoWv/D91WxgV19+BrFlFU8498TKspO36q4VADztwurL4VVPv0DV9qeurJ6zlzyemd0icH4pIQdFLDg8+1HVD++PKM/Zk847qbLsrBMZ9xMClFL4jEfsUrX9UeL8POYs3bP5zv/ncartOFx6ZvXD+ycve6yq7cuvOKey7GG7mBk9AufuqH4IONfiMh59enUwcv4u5mNewkuIdw+lJnGgkvZoE8k8+6LqPUoRdwrXvPhScvnzLz412faUrQvks/RU4lmnQL3DtXgHcz9dfk71PVXG/EwHZ59UPbdnKp/Nn79KV7+RwgsupV2xtO+FSwjPHC1e+JjTyeUpt+sIyoX5NOV9hgueSS/nlJkiznoyvXwr49ZW2S59L7O4hCCwALClxT43Kr/3Jza/z3Dyo+nlnJJWxGmX0cu1BcC5wTxFvsu48Afo5TsU46v5bbybpAYXMSSDI/5FcLFtc5sms4JShA8ATmLGQofuS9s+sTo+AgCcfnm67RnChMkjnp9uv40Zh5371HTbJ/4cvZw7F1o87qfUm7pU9sXjAZdffrm//vrrW+9HypBmWFvgXCvXO6J7E+eO1QZF1y9qwG7gsdL368GlPjbNzbDX4fDyANd+azcuOm0bDi71cfoJG+Ccw0mb5jDK3NV7wxE72bU8GGKu28HIj12e6xxD8btyLJ/Ttu/woovisbbdZh+Hl/nSNikUr2vdZ3uxN8RM1+WJg+q8d6KLNKfkpXDf/iXs3DLf6Hz1hyO8/p++gWc+8mScvHUBm+dnsGvrPOZnOqp7/Qu37cW5OzfhxI1zWOwPQ2iD9p7xvuoeNxrqCUbvcFBTOl3elYzDwd3Aod3A1tOBTSeNXTOLfeP2N+gBd18PnPmEsUzLxTeVMRoC73ha2MczXwfsvzvrx6lhwHv4AeCk83nydf9NYdt9twX32O1nB9Ix7AfSs/hQcHGjsrUuHwI+9/ZQDmJ2Y1Dfzn9Gdv6zmDvp3N92HbD3O8BFLwz/j9ftzs+Fvt/5aeCiH6bb9peA/d8LNgdLYT+XvERP1K5/J3DqxcCpl9HHJuG2TwB3fS4c26NeAOy5Cdh+DnD/t8LxbxKI+GAZ+PTvB7fVThc44ezgeji7IVzL3mHg5Iv4e2XYB/bdHtTCzbuAB28P7sH7vxvO32mX8arVkX3Al/8HcMenA/HdvDPYvPAHwvl76C7gCT/LuyHf9Xng7i8D+24FLn1pKPVx7lXAwtbgBrwxMUlW95kq4qG7gjvxTe8Pz/gZlwNnPSkk1ekL7p1AeBZHg6Cmb9pVvd6pfg0HYb3rwHU6X/Lekwx4zZE+59zPA/gVAKcC+AaA/+i9/5TUZqVIn8FgMBgMBoPBYDAcj3DOsaRvTbl3Oud+FMBbALwBwGUAPgvgg845vQ+jwWAwGAwGg8FgMBhyrCnSB+CXAbzLe/+n3vtvee9fDeBeAIwjrMFgMBgMBoPBYDAYJKwZ0uecmwPwWAAfKa36CIBKVLNz7mecc9c7567fs2fPseiiwWAwGAwGg8FgMBx3WDOkD8AOAF0Au0vLdwOopGrz3r/De3+59/7ynTt1mdMMBoPBYDAYDAaDYb1hLZG+iHJmGUcsMxgMBoPBYDAYDAaDAmuJ9D0AYIiqqrcLVfXPYDAYDAaDwWAwGAwKrBnS573vAfgSgHKVy2chZPE0GAwGg8FgMBgMBkNNNKvmevRwDYB3O+f+FcBnALwCwGkA/nhVe2UwGAwGg8FgMBgMxynWFOnz3v8v59xJAH4DoTj71wE813t/5+r2zGAwGAwGg8FgMBiOT6wp0gcA3vs/BPCHq90Pg8FgMBgMBoPBYJgGrJmYPoPBYDAYDAaDwWAwrDyM9BkMBoPBYDAYDAbDFMNIn8FgMBgMBoPBYDBMMYz0GQwGg8FgMBgMBsMUw0ifwWAwGAwGg8FgMEwxjPQZDAaDwWAwGAwGwxTDSJ/BYDAYDAaDwWAwTDGc9361+9AazrmDAG5mVm8DsL/hrtu0XU3b1u/1Y3sHgAcatm1r+3g9Z9bv9WPb+r1+bB+v/V5N26vZ7zbfruP1fK+mbev3+rH9cO/9FnKN9/64/wNwvbDuHS3227jtatq2fq8f29K9v5b7vcrnzPq9Tmxbv9eP7eO13+v4nDX+dh2v53sdX+t11+9VPmfss7Ue3Dvft0ptV9O29Xt92W6D9XjOrN/rx7b1e/3YPl77vZq2V7Pfq2n3eD1n1m+z3QrT4t55vff+8tXuh8FwrGH3vsFgMBiON9i3y2A4OpCerWlR+t6x2h0wGFYJdu8bDAaD4XiDfbsMhqMD9tmaCqXPYDAYDAaDwWAwGAw0pkXpMxgMBoPBYDAYDAYDgXVN+pxzv+ac+6Jz7oBzbo9z7n3OuUeXtnmhc+7D2XrvnLtqlbq77qG8Xpudc291zn3PObfonLvZOfdLq9VnA+Cc+3nn3O3OuSXn3Jecc08htnHOuQ9lz9jVq9HP9Q7n3FOdc//knLs7uw7/obTe3oVrCIrrZe/CNQLlt+td2XUs/n1+tfq83mHfreMH9u3SY12TPgBXAfhDAE8G8AwAAwDXOudOLGyzCcBnAfzyMe+doYyrkL5e1wB4HoCXAXgkgN8G8Ebn3MuObVcNAOCc+1EAbwHwBgCXITxLH3TOnVXa9D8BGB7j7hkmsRnA1wH8IoBFYr29C9cWUtfL3oVrB1ch/e0CgGsBnFr4e+4x7KMhg323jjvYt0sJi+krwDm3GaEY4gu89+8rrdsBYA+Ap3vvr1uF7hlKoK6Xc+7rAP7Oe/+6wnafAHCj9/5Vq9PT9Qvn3BcAfM17/9OFZd8G8Lfe+1/L/n85gH8A8FgAuwH8iPf+b1ejv4YA59whAK/y3r+LWGfvwjUG6nrZu3Dtgvl2vQvADu/981ezbwb7bh3PsG+XjPWu9JWxBeGcPLjaHTGoQF2vTwP4QefcmQDgnHsygEsBfOjYd299wzk3h/BB/Ehp1UcQZrzhnNsC4K8A/Kz3/v5j20ODYaph78K1C26scaVz7n7n3C3OuT91zu1ahb6ta9h3yzDNMNI3ibcAuAHA51a7IwYVqOv1C9myu5xzfQCfAPD/eu/fvwr9W+/YAaCLMAtaxG4Ap2T//mMAH/Lef+BYdsxgWAewd+HaBfXt+hCAnwDw/Qhug48H8DHn3Pyx7966hn23DFOLmdXuwFqBc+4aAFcCuNJ7bz7aaxzC9Xo1gCsA/BCAOwE8FcDvOefu8N7bDPfqoOxD7gD4LLboEgBWoNdgWHnYu3ANgvt2ee//urDZjc65LyFct+cB+Ptj20sD7LtlmEIY6QPgnHszgB9D8PO9bbX7Y5DBXS/n3AYAv4PgWx9jMr/mnLsUwGtgbk3HGg8gBLmfUlq+C2HW9PsBPArAIedccf3/cs59znt/5THppcEwZbB34dpEnbGG9/4e59z3ADzsmHTOEGHfLcPUYt27dzrn3gLgpQCe4b2/abX7Y5CRuF6z2V9ZqR3C7vVjDu99D8CXADyrtOpZCJm0fh3AxQhxRvEPCIPSnzhG3TQYphH2LlxjqDvWyJJOnA7g3qPdN8MY9t0yTDPWtdLnnHs7QjrrFwB40DkXZ3YOee8PZducCOAsACdk6y5wzj0E4D7v/X3Hus/rGanr5b0/kGWne2OWwelOAE9DeBG/dlU6bbgGwLudc/8K4DMAXgHgNAB/7L2/G8DdxY2zmdPvmuJ+7JFlFLwg+28HwFmZMrTPe3+XvQvXFhTXy96FawSpb1d2LV8P4O8QSN45CErt/QgZIg3HFvbdOo5g364a8N6v2z8En23q7/WFbf5Dahv7W1PX6xQA70R4KS8CuAlhBs6tdv/X6x+AnwdwB4BlhBnUpyau8dWr3ef1+IdQS4x6vt6Vrbd34Rr6U1wvexeukb/UtwvABgAfRiB5PQSS/i4AZ65239frn323jp8/+3bp/6xOn8FgMBgMBoPBYDBMMcy332AwGAwGg8FgMBimGEb6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYduPPZsAAAr9SURBVIphpM9gMBgMBoPBYDAYphhG+gwGg8FgMBgMBoNhimGkz2AwGAwGg8FgMBimGEb6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYYphpM9gMBgMBoPBYDAYphhG+gwGg8FgMBgMBoNhimGkz2AwGAwGg8FgMBimGEb6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYYphpM9gMBgMBoPBYDAYphhG+gwGg8FgMBgMBoNhimGkz2AwGAwGg8FgMBimGEb6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYYphpM9gmCI4585xznnn3OWr3ReDwWAwGAwGw9qAkT6DYY3BOfeujLiV/y5d7b4ZDAaDwVBG4bv1Z8S6N2Xr3r8afTMYDAFG+gyGtYlrAZxa+vv6qvbIYDAYDAYe3wXwo865TXGBc24GwMsA3NVmx865uZZ9MxjWPYz0GQxrE8ve+/tKfwMX8Frn3K3OuUXn3I3OuR8n2l/onPu0c27JOXeTc+7Zx/wIDAaDwbCe8DUA3wbw4sKy5wFYAnBdXOCce5xz7iPOuQeccweyb9WTijvKlMFXOuf+3jl3GMAbjkH/DYaphpE+g+H4wm8B+EkArwTwKAC/A+BPnHPPK233JgB/AOBSAP8C4P84504/lh01GAwGw7rDnwN4eeH/LwfwTgC+sGwLgHcDeAqAxwO4AcAHnHM7Svt6HYAPAPg+AG8/Wh02GNYLnPc+vZXBYDhmcM69C8CPI8yORnwKwNUAHgDwbO/9pwrb/z6AC733z3XOnQPgdgC/4b3/7Wx9B8BNAP639/43jsUxGAwGg2H9IPtu7UBw5bwHwMUADgK4E8DDAPxXADu8988n2rqsza9479+TLfMA3ua9f/UxOQCDYR1gZrU7YDAYSHwSwM8U/r+IoOwtAPhQ9kGMmAVwR6n95+I/vPcj59wXsvYGg8FgMBwVeO8fdM79A4LC9xCA67z3dwVeF+Cc2wXg/wfwdAAnA+gC2ADgrNLurj8mnTYY1gmM9BkMaxNHvPffKS5wzp2R/fMHUQ2K7x+TXhkMBoPBIOMvAPwlgEMA/gux/i8RyN4vIUxYLgP4KIByspbDR6+LBsP6g5E+g+H4wTcRPo5ne+8/ltj2iQA+BuSuM48H8LdHt3sGg8FgMOCjAHoI7p7/SKy/EsAveO//GQCccycjZKg2GAxHEUb6DIbjBN77g8653wPwexmR+ySAzQgEb+S9f0dh859zzt0C4EYAPw/gbAB/dKz7bDAYDIb1Be+9d85djJA3YpnY5BYAP56FHWxCSDzWO5Z9NBjWI4z0GQzHF/4/ALsBvAaBxB1AyHz2ptJ2vwrglwE8BiGQ/oe99987hv00GAwGwzqF9/6gsPrlAN4B4EsICVxeD2DnMeiWwbCuYdk7DQaDwWAwGAwGg2GKYXX6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYYphpM9gMBgMBoPBYDAYphhG+gwGg8FgMBgMBoNhimGkz2AwGAwGg8FgMBimGEb6DIZVhHPu15xzX3TOHXDO7XHOvc859+jSNs4593rn3D3OuUXn3HXOuYtK2/y6c+4zzrnDzjmyDotz7vudc591zh10zt3rnPtvzjmr1WkwGAwGg8Ew5TDSZzCsLq4C8IcAngzgGQAGAK51zp1Y2Oa1AP4TgFcDeByA+wH8i3NuS2GbeQB/D+D3KSPOuYsBfADARwBcBuDHAPwQgDeu4LEYDAaDwWAwGNYgrDi7wbCG4JzbDGA/gBd479/nnHMA7gHwNu/9b2fbbEAgfq/x3v9Jqf3VAP7Ge+9Ky98A4Dne+8sKy34QwP8GsMt7f/BoHpfBYDAYDAaDYfVgSp/BsLawBeG5fDD7/7kATkFQ6AAA3vtFAJ9EUAe1mAewVFq2CGABwGObdtZgMBgMBoPBsPZhpM9gWFt4C4AbAHwu+/8p2e/u0na7C+s0+DCAJzjnXuacm3HOnQ7gv2TrTm3aWYPBYDAYDAbD2oeRPoNhjcA5dw2AKwG8yHs/LK0u+2E7YhkL7/1HALwGwNsQFL9bEGL8AKBsy2AwGAwGg8EwRTDSZzCsATjn3gzgJQCe4b2/rbDqvuy3rOrtQlX9E+G9vwbACQDOArADwP/JVt1eu8MGg8FgMBgMhuMGRvoMhlWGc+4tAF6KQPhuKq2+HYH4Pauw/QKApwD4bF1bPuCeLC7wJQC+C+DLTftuMBgMBoPBYFj7sBpdBsMqwjn3dgAvA/ACAA8656Kid8h7f8h7751zvw/g151zNyG4Zf4GgEMA3lvYz1kATgRwTvb/S7NV3/HeH8qW/QqADwEYAXghgF8F8GLCldRgMBgMBoPBMEWwkg0GwyqCK6QO4De996/PtnEAXgfgZwFsB/AFAK/03n+9sJ93Afj3xH6e7r2/LtvmYwAeg5DJ86uZjQ+uyIEYDAaDwWAwGNYsjPQZDAaDwWAwGAwGwxTDYvoMBoPBYDAYDAaDYYphpM9gMBgMBoPBYDAYphhG+gwGg8FgMBgMBoNhimGkz2AwGAwGg8FgMBimGEb6DAaDwWAwGAwGg2GKYaTPYDAYDAaDwWAwGKYYRvoMBoPBYDAYDAaDYYphpM9gMBgMxzWcc0Pn3A3OuW84577qnPtl55z4fXPOneOce6li3xPbOecud879wUr0m7H3Lufc1Udr/waDwWBYnzDSZzAYDIbjHYve+0u99xcBeBaA5wJ4XaLNOQCSpK+8nff+eu/9LzTsp8FgMBgMqwIjfQaDwWCYGnjv7wfwMwBe5QLOcc59yjn35ezvydmmbwTwlEwh/CXnXNc597vOuS86577mnPtZZrurnHPvBwDn3Oudc3/pnPuIc+4O59wLnXNvcs7d6Jz7kHNuNtvusc65TzjnvuSc+7Bz7lTNsWT73JH9+3Ln3HV17BoMBoPBEGGkz2AwGAxTBe/9bQjft10A7gfwLO/9YwD8KIDomvmrAD6VKYRvBvCTAPZ77x8H4HEAfto5dy6xXRnnA3gegH8L4D0APu69/z4AiwCelxGwtwK42nv/WAB/AeC3V+AwRbsrsH+DwWAwTBFmVrsDBoPBYDAcBbjsdxbA25xzlwIYAriQ2f7ZAC4uxNNtA/AwAL2EnQ967/vOuRsBdAF8KFt+I4Jr6MMBPBrAvzjnkG1zb+2jqW/XYDAYDIYcRvoMBoPBMFVwzp2HQPDuR4jt2w3gEgT1b4lrBuDV3vsPl/Z1VcLcMgB470fOub733mfLRwjfWAfgG977JzU4lAHGHjkLNe0aDAaDwZDD3DsNBoPBMDVwzu0E8McA3pYRoW0A7vXejwC8DEEVA4CDALYUmn4YwM8V4vAudM5tIrari5sB7HTOPSnb76xz7iJl2zsAPDb794ta9MFgMBgM6xxG+gwGg8FwvGNDLNkA4FoAHwHwm9m6PwTw751zn0dw7TycLf8agEFW4uGXAPwZgG8C+LJz7usA/gRBMStvVwve+x6AqwH8N+fcVwHcAODJcqscvwngLc65TyEolwaDwWAwNIIbe4QYDAaDwWAwGAwGg2HaYEqfwWAwGAwGg8FgMEwxLNjbYDAYDIZjDOfc2wFcUVr8Fu/9O1ejPwaDwWCYbph7p8Fg+L/t2gEJAAAAgKD/r/sR+iIIAIAxeycAAMCY6AMAABgTfQAAAGOiDwAAYCyzGsZLGy9LIgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting data\n", + "train.Lum.plot(figsize=(15,8), title= 'Luxmeter', fontsize=14)\n", + "test.Lum.plot(figsize=(15,8), title= 'Luxmeter', fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing, Holt\n", + "\n", + "y_hat_avg = test.copy()\n", + "fit1 = ExponentialSmoothing(np.asarray(train['Lum']) ,seasonal_periods=7 ,trend='add', seasonal='add',).fit()\n", + "y_hat_avg['Holt_Winter'] = fit1.forecast(len(test))\n", + "plt.figure(figsize=(16,8))\n", + "plt.plot( train['Lum'], label='Train')\n", + "plt.plot(test['Lum'], label='Test')\n", + "plt.plot(y_hat_avg['Holt_Winter'], label='Holt_Winter')\n", + "plt.legend(loc='best')\n", + "plt.show()" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "celltoolbar": "Slideshow", + "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": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/mesures_pyr_lum.xlsx b/mesures_pyr_lum.xlsx new file mode 100644 index 0000000..f85df24 Binary files /dev/null and b/mesures_pyr_lum.xlsx differ