{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nimport scipy\nimport plotly.express as px\nimport plotly.graph_objects as go\nfrom sklearn.preprocessing import StandardScaler,Normalizer,LabelEncoder\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import mean_absolute_error,mean_squared_error\nfrom scipy import stats\nimport xgboost as xgb\nfrom xgboost import XGBRegressor\nfrom sklearn.model_selection import StratifiedKFold\nfrom sklearn.ensemble import AdaBoostRegressor,RandomForestRegressor\nfrom catboost import CatBoostRegressor\nimport lightgbm as lgb\nimport optuna\nimport optuna.integration.lightgbm as lgb2\nimport optuna.integration.xgboost as xgb2\nfrom keras.models import Sequential\nfrom keras.layers import Dense,Dropout,Input,AlphaDropout\nfrom keras.regularizers import Regularizer,l2 \nfrom collections import OrderedDict\nfrom itertools import product\nimport re\n#import hvplot.pandas\n%matplotlib inline\nimport plotly.offline as pyo\npyo.init_notebook_mode()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:41:13.191594Z","iopub.execute_input":"2022-06-02T08:41:13.192053Z","iopub.status.idle":"2022-06-02T08:41:23.053352Z","shell.execute_reply.started":"2022-06-02T08:41:13.191968Z","shell.execute_reply":"2022-06-02T08:41:23.052474Z"},"trusted":true},"execution_count":1,"outputs":[{"output_type":"display_data","data":{"text/plain":"","text/html":"\n"},"metadata":{}},{"output_type":"display_data","data":{"text/html":" \n "},"metadata":{}}]},{"cell_type":"markdown","source":"### Objective\n\n**We are provided with daily historical sales data. The task is to forecast the total amount of products sold in every shop for the test set.**","metadata":{}},{"cell_type":"code","source":"salesDF=pd.read_csv('../input/competitive-data-science-predict-future-sales/sales_train.csv')\nitemsDF=pd.read_csv('../input/competitive-data-science-predict-future-sales/items.csv')\nitemsCategoriesDF=pd.read_csv('../input/competitive-data-science-predict-future-sales/item_categories.csv')\nshopsDF=pd.read_csv('../input/competitive-data-science-predict-future-sales/shops.csv')\ntestDF=pd.read_csv('../input/competitive-data-science-predict-future-sales/test.csv')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:11.533080Z","iopub.execute_input":"2022-06-02T08:42:11.533433Z","iopub.status.idle":"2022-06-02T08:42:13.839032Z","shell.execute_reply.started":"2022-06-02T08:42:11.533399Z","shell.execute_reply":"2022-06-02T08:42:13.838172Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"code","source":"salesDF.head()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:13.840745Z","iopub.execute_input":"2022-06-02T08:42:13.841053Z","iopub.status.idle":"2022-06-02T08:42:13.866945Z","shell.execute_reply.started":"2022-06-02T08:42:13.841015Z","shell.execute_reply":"2022-06-02T08:42:13.865742Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":" date date_block_num shop_id item_id item_price item_cnt_day\n0 02.01.2013 0 59 22154 999.00 1.0\n1 03.01.2013 0 25 2552 899.00 1.0\n2 05.01.2013 0 25 2552 899.00 -1.0\n3 06.01.2013 0 25 2554 1709.05 1.0\n4 15.01.2013 0 25 2555 1099.00 1.0","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
datedate_block_numshop_iditem_iditem_priceitem_cnt_day
002.01.201305922154999.001.0
103.01.20130252552899.001.0
205.01.20130252552899.00-1.0
306.01.201302525541709.051.0
415.01.201302525551099.001.0
\n
"},"metadata":{}}]},{"cell_type":"code","source":"# Cleaning shops data\n# Якутск Орджоникидзе, 56\nsalesDF.loc[salesDF.shop_id == 0, 'shop_id'] = 57\ntestDF.loc[testDF.shop_id == 0, 'shop_id'] = 57\n# Якутск ТЦ \"Центральный\"\nsalesDF.loc[salesDF.shop_id == 1, 'shop_id'] = 58\ntestDF.loc[testDF.shop_id == 1, 'shop_id'] = 58\n# Жуковский ул. Чкалова 39м²\nsalesDF.loc[salesDF.shop_id == 10, 'shop_id'] = 11\ntestDF.loc[testDF.shop_id == 10, 'shop_id'] = 11","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:13.868408Z","iopub.execute_input":"2022-06-02T08:42:13.868737Z","iopub.status.idle":"2022-06-02T08:42:13.956923Z","shell.execute_reply.started":"2022-06-02T08:42:13.868693Z","shell.execute_reply":"2022-06-02T08:42:13.956214Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"markdown","source":"Here on analysing the shop names, we can find that the shop names encompass the city name and the category. \n\nFor eg: **shop id 2 - Адыгея ТЦ \"Мега\" - Adygea mega shopping mall(English translation)**\n\nHere Adygea is the name of the city in Russia","metadata":{}},{"cell_type":"code","source":"shopsDF['city']=shopsDF['shop_name'].apply(lambda x: x.split(\" \")[0])\nshopsDF['category']=shopsDF['shop_name'].apply(lambda x: x.split(\" \")[1])\n\n##Each SHOP_ID' in this list belongs to separate category and we use 'other' to encompass them.\nfor i in [0,6,9,20,21,22,46,55,57,10,11]:\n shopsDF.loc[shopsDF['shop_id']==i,'category']='other'\n \n \nshopsDF.loc[shopsDF['city']=='!Якутск','city']='Якутск'\n\n# le=LabelEncoder()\n# shopsDF['city']=le.fit_transform(shopsDF['city'])\n# shopsDF['category']=le.fit_transform(shopsDF['category'])","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:15.281922Z","iopub.execute_input":"2022-06-02T08:42:15.282418Z","iopub.status.idle":"2022-06-02T08:42:15.301801Z","shell.execute_reply.started":"2022-06-02T08:42:15.282379Z","shell.execute_reply":"2022-06-02T08:42:15.300721Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"markdown","source":"When we explore item category names we have:\n\nFor eg : **item_category_id 0 - PC Гарнитуры/Наушники - PC Headset/Headphones**\n\n**Hence we can separate this feature as 2 columns as main category and sub category**","metadata":{}},{"cell_type":"code","source":"##Splits item_category name into main category and sub category\ncategories=[]\nsub_categories=[]\n\nfor i in itemsCategoriesDF['item_category_name'].unique():\n if len(list(i.split(\" - \")))==1:\n categories.append(i.split(\" - \")[0])\n sub_categories.append('other')\n else:\n categories.append(i.split(\" - \")[0])\n sub_categories.append(i.split(\" - \")[1])\n \nitemsCategoriesDF['main_category']=categories\nitemsCategoriesDF['sub_category']=sub_categories\n\n# le=LabelEncoder()\n# itemsCategoriesDF['main_category']=le.fit_transform(itemsCategoriesDF['main_category'])\n# itemsCategoriesDF['sub_category']=le.fit_transform(itemsCategoriesDF['sub_category'])","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:16.981388Z","iopub.execute_input":"2022-06-02T08:42:16.981921Z","iopub.status.idle":"2022-06-02T08:42:16.991249Z","shell.execute_reply.started":"2022-06-02T08:42:16.981885Z","shell.execute_reply":"2022-06-02T08:42:16.990495Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"Let the items categories dataframe after splitting features be merged with the items dataframe","metadata":{}},{"cell_type":"code","source":"itemsNewDF=pd.merge(itemsDF,itemsCategoriesDF[['item_category_id','main_category','sub_category']],on='item_category_id',how='inner')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:19.676900Z","iopub.execute_input":"2022-06-02T08:42:19.677663Z","iopub.status.idle":"2022-06-02T08:42:19.697288Z","shell.execute_reply.started":"2022-06-02T08:42:19.677609Z","shell.execute_reply":"2022-06-02T08:42:19.696262Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"salesDF=pd.merge(salesDF,itemsNewDF[['item_id','item_category_id','main_category','sub_category']],on='item_id',how='inner')\nsalesDF=pd.merge(salesDF,shopsDF[['shop_id','city','category']],on='shop_id',how='inner')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:19.756609Z","iopub.execute_input":"2022-06-02T08:42:19.757421Z","iopub.status.idle":"2022-06-02T08:42:21.098064Z","shell.execute_reply.started":"2022-06-02T08:42:19.757378Z","shell.execute_reply":"2022-06-02T08:42:21.097042Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"markdown","source":"**Lets remove the outliers**","metadata":{}},{"cell_type":"code","source":"fig=plt.figure(figsize=(10,5))\ngs=fig.add_gridspec(1,2)\nax1=fig.add_subplot(gs[0,0])\nimg=sns.boxplot(x=salesDF['item_cnt_day'],ax=ax1)\nax2=fig.add_subplot(gs[0,1])\nimg=sns.boxplot(x=salesDF['item_price'],ax=ax2)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:21.531546Z","iopub.execute_input":"2022-06-02T08:42:21.532354Z","iopub.status.idle":"2022-06-02T08:42:24.025091Z","shell.execute_reply.started":"2022-06-02T08:42:21.532306Z","shell.execute_reply":"2022-06-02T08:42:24.024228Z"},"trusted":true},"execution_count":9,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"pd.cut(salesDF['item_price'],10).value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:24.027025Z","iopub.execute_input":"2022-06-02T08:42:24.027511Z","iopub.status.idle":"2022-06-02T08:42:24.125055Z","shell.execute_reply.started":"2022-06-02T08:42:24.027466Z","shell.execute_reply":"2022-06-02T08:42:24.123962Z"},"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"(-308.981, 30797.1] 2935632\n(30797.1, 61595.2] 216\n(277181.9, 307980.0] 1\n(61595.2, 92393.3] 0\n(92393.3, 123191.4] 0\n(123191.4, 153989.5] 0\n(153989.5, 184787.6] 0\n(184787.6, 215585.7] 0\n(215585.7, 246383.8] 0\n(246383.8, 277181.9] 0\nName: item_price, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"salesDF.drop(salesDF[(salesDF['item_cnt_day']>200)&(salesDF['item_cnt_day']<0)].index,axis=0,inplace=True)\nsalesDF.drop(salesDF[salesDF['item_price']>30797].index,axis=0,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:24.126239Z","iopub.execute_input":"2022-06-02T08:42:24.126477Z","iopub.status.idle":"2022-06-02T08:42:25.765073Z","shell.execute_reply.started":"2022-06-02T08:42:24.126448Z","shell.execute_reply":"2022-06-02T08:42:25.763968Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"##Splits date into day,month,year format\nsalesDF['DateModified']=pd.to_datetime(salesDF['date'],format='%d.%m.%Y')\nsalesDF['year']=salesDF['DateModified'].dt.year\nsalesDF['month']=salesDF['DateModified'].dt.month\nsalesDF['date']=salesDF['DateModified'].dt.day","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:25.766810Z","iopub.execute_input":"2022-06-02T08:42:25.767046Z","iopub.status.idle":"2022-06-02T08:42:27.279838Z","shell.execute_reply.started":"2022-06-02T08:42:25.767017Z","shell.execute_reply":"2022-06-02T08:42:27.278872Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"markdown","source":"# Extensive EDA","metadata":{}},{"cell_type":"code","source":"shopNamesDict={shopsDF['shop_id'][i]:shopsDF['shop_name'][i] for i in range(len(shopsDF))}\nshopWiseSalesDF=salesDF.groupby('shop_id').agg({'item_cnt_day':'sum','item_price':'sum'})\nshopWiseSalesDF=shopWiseSalesDF.sort_values(by='item_price',ascending=False)\nshopWiseSalesDF.reset_index(inplace=True)\nshopWiseSalesDF['item_price']=shopWiseSalesDF['item_price'].astype(float)/1000000 \nshopWiseSalesDF=shopWiseSalesDF.replace({'shop_id':shopNamesDict})\nfig=plt.figure(figsize=(15,5))\nimg=sns.barplot(data=shopWiseSalesDF[:10],y='shop_id',x='item_price',palette='rainbow')\nimg.set(xticklabels=[])\nimg.tick_params(bottom=False,left=False)\nimg.set_ylabel('Shop Names',fontweight='bold',fontfamily='sans-serif',fontsize=15)\nimg.set_xlabel('Total price of products sold across all years',fontweight='bold',fontfamily='sans-serif',fontsize=15)\nimg.text(5,-1,'Top 10 shops with highest sales(in terms of price)',fontfamily='sans-serif',fontweight='bold',fontsize=20)\nfor i in range(10):\n img.text(1,i,str(round(shopWiseSalesDF['item_price'][i],0))+' Million',fontfamily='sans-serif',fontsize=12,fontweight='medium')\nsns.despine(left=True,bottom=True,right=True,top=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:27.281381Z","iopub.execute_input":"2022-06-02T08:42:27.281633Z","iopub.status.idle":"2022-06-02T08:42:27.734870Z","shell.execute_reply.started":"2022-06-02T08:42:27.281598Z","shell.execute_reply":"2022-06-02T08:42:27.733917Z"},"trusted":true},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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PS4 500GB','Sony PS4 Kit 500GB','GTA V PS3','GTA V XBOX360','PS Store Top-Up Wallet']\n\nfig=px.bar(itemWiseSalesDF[:5],y='item_name',x='item_price',orientation='h')\nfig.update_layout(plot_bgcolor='#fff',\n title='Top 5 Highest selling products',\n yaxis=dict(showline=True,linecolor='black',tickvals=[0,1,2,3,4],ticktext=labels))\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:28.026639Z","iopub.execute_input":"2022-06-02T08:42:28.026940Z","iopub.status.idle":"2022-06-02T08:42:29.434124Z","shell.execute_reply.started":"2022-06-02T08:42:28.026906Z","shell.execute_reply":"2022-06-02T08:42:29.433401Z"},"trusted":true},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"item_price=%{x}
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"},"metadata":{}}]},{"cell_type":"code","source":"## Total items sold in every month across the 3 years\nsalesYearDF=salesDF.groupby(['year','month']).agg({'item_cnt_day':'sum'})\nsalesYearDF.reset_index(inplace=True)\nmonths = {1:'Jan', 2:'Feb', 3:'Mar', 4:'Apr', 5:'May', 6:'Jun', 7:'Jul', 8:'Aug',\n 9:'Sep', 10:'Oct', 11:'Nov', 12:'Dec'}\nsalesYearDF=salesYearDF.replace({'month':months})\nplt.figure(figsize=(15,5))\nsns.set_context(\"notebook\")\nsns.set_style('white')\nimg=sns.lineplot(data=salesYearDF,x='month',y='item_cnt_day',hue='year')\nimg.set_xlabel('Month',fontsize=15,fontweight='bold',color='black',fontfamily='sans-serif')\nimg.set_ylabel('Items sold per month',fontsize=15,fontweight='bold',color='black',fontfamily='sans-serif')\nsns.despine(right=True,top=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:29.531482Z","iopub.execute_input":"2022-06-02T08:42:29.532057Z","iopub.status.idle":"2022-06-02T08:42:30.051763Z","shell.execute_reply.started":"2022-06-02T08:42:29.532018Z","shell.execute_reply":"2022-06-02T08:42:30.050951Z"},"trusted":true},"execution_count":15,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"> **In both 2013 and 2014, there has been significant increase in sales during the months of November and December. This may be attributed due to Christmas season**","metadata":{}},{"cell_type":"code","source":"fig=px.bar(salesDF.groupby('city',as_index=False).agg({'item_cnt_day':'sum'}).sort_values('item_cnt_day',ascending=False),\n x='city',\n y='item_cnt_day',\n title='City wise sales')\nfig.update_layout(plot_bgcolor='#fff')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:32.626638Z","iopub.execute_input":"2022-06-02T08:42:32.627573Z","iopub.status.idle":"2022-06-02T08:42:32.965892Z","shell.execute_reply.started":"2022-06-02T08:42:32.627526Z","shell.execute_reply":"2022-06-02T08:42:32.965299Z"},"trusted":true},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"city=%{x}
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"},"metadata":{}}]},{"cell_type":"markdown","source":"The below function groups the dataframe based on city and identifies the top 5 categories in each city and represented in terms of percentage","metadata":{}},{"cell_type":"code","source":"cityWiseSalesDF=salesDF.groupby(['city','main_category']).agg({'item_cnt_day':'sum'}).sort_values('item_cnt_day',ascending=False).reset_index()\ncityWiseSalesDF=cityWiseSalesDF.groupby('city').head(5)\ncityWiseSalesDF['percentage']=cityWiseSalesDF.groupby('city')['item_cnt_day'].transform(lambda x:round(x*100/x.sum(),2))\nfig=px.bar(cityWiseSalesDF,x='city',y='percentage',color='main_category',title='Top 5 categories sold in each city')\nfig.update_layout(margin=dict(l=0,r=0,b=0),\n showlegend=False)\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:35.876585Z","iopub.execute_input":"2022-06-02T08:42:35.877085Z","iopub.status.idle":"2022-06-02T08:42:36.608159Z","shell.execute_reply.started":"2022-06-02T08:42:35.877029Z","shell.execute_reply":"2022-06-02T08:42:36.607204Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"main_category=Кино
city=%{x}
percentage=%{y}","legendgroup":"Кино","marker":{"color":"#636efa","pattern":{"shape":""}},"name":"Кино","offsetgroup":"Кино","orientation":"v","showlegend":true,"textposition":"auto","type":"bar","x":["Москва","Якутск","Химки","СПб","Тюмень","Воронеж","Чехов","Самара","Уфа","Курск","Калуга","Сергиев","Казань","Красноярск","Н.Новгород","РостовНаДону","Коломна","Ярославль","Вологда","Сургут","Новосибирск","Волжский","Омск","Интернет-магазин","Балашиха","Жуковский","Адыгея","Томск","Мытищи"],"xaxis":"x","y":[30.55,42.79,35.32,27.1,31.51,24.5,38.89,29.13,19.65,27.76,28.95,25.74,29.01,21.63,23.37,24.63,24.4,24.8,26.43,15.7,20.96,18.76,15.2,10.98,20.51,23.61,14.29,13.8,24.59],"yaxis":"y"},{"alignmentgroup":"True","hovertemplate":"main_category=Подарки
city=%{x}
percentage=%{y}","legendgroup":"Подарки","marker":{"color":"#EF553B","pattern":{"shape":""}},"name":"Подарки","offsetgroup":"Подарки","orientation":"v","showlegend":true,"textposition":"auto","type":"bar","x":["Москва","Химки","СПб","Якутск","Воронеж","Уфа","Тюмень","Сургут","РостовНаДону","Самара","Сергиев","Коломна","Н.Новгород","Красноярск","Казань","Курск","Чехов","Интернет-магазин","Омск","Выездная","Калуга","Вологда","Ярославль","Томск","Новосибирск","Волжский","Адыгея","Жуковский","Балашиха","Мытищи"],"xaxis":"x","y":[20.53,22.49,20.38,14.24,15.48,18.3,12.83,23.35,19.88,15.2,16.31,19.82,15.52,12.74,15.93,13.91,12.7,15.91,17.41,50.14,11.3,17.95,14.65,26.18,12.97,13.77,14.5,14.2,12.09,21.99],"yaxis":"y"},{"alignmentgroup":"True","hovertemplate":"main_category=Игры PC
city=%{x}
percentage=%{y}","legendgroup":"Игры PC","marker":{"color":"#00cc96","pattern":{"shape":""}},"name":"Игры PC","offsetgroup":"Игры PC","orientation":"v","showlegend":true,"textposition":"auto","type":"bar","x":["Москва","Воронеж","Цифровой","СПб","Якутск","Уфа","Химки","Тюмень","Калуга","Самара","Сергиев","Курск","Красноярск","РостовНаДону","Н.Новгород","Ярославль","Казань","Волжский","Сургут","Коломна","Омск","Чехов","Интернет-магазин","Новосибирск","Вологда","Адыгея","Балашиха","Жуковский","Выездная","Томск","Мытищи"],"xaxis":"x","y":[18.31,23.99,55.5,19.61,14.28,24.69,13.61,17.91,29.96,23.48,24.62,25.33,20.14,25.21,22.46,30.51,21.48,32.21,20.32,22.73,24.99,16.51,19.71,24.49,23.3,25.27,26.13,30.26,31.67,19.41,13.71],"yaxis":"y"},{"alignmentgroup":"True","hovertemplate":"main_category=Игры
city=%{x}
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"},"metadata":{}}]},{"cell_type":"markdown","source":"**Even though Moscow is the city with highest sales some categories like cinema bluray cd's and dvd's are comparatively sold more in Yakutsk city**","metadata":{}},{"cell_type":"markdown","source":"> **Delivery of goods(Доставка товара) as a category is found only in the city of Интернет-магазин and accounts for 30% of sales.**\n> \n> **PC games and movies accountfor the majority of sale in almost all cities**","metadata":{}},{"cell_type":"code","source":"salesPartitionDict={2013:{'Items Sold Before November':0,'Items Sold After November':0},2014:{'Items Sold Before November':0,'Items Sold After November':0}}\n\nfor year in [2013,2014]:\n salesPartitionDict[year]['Items Sold After November']=salesYearDF[(salesYearDF['month'].isin(['Nov','Dec'])) & (salesYearDF['year']==year)]['item_cnt_day'].mean()\n salesPartitionDict[year]['Items Sold Before November']=salesYearDF[(-salesYearDF['month'].isin(['Nov','Dec'])) & (salesYearDF['year']==year)]['item_cnt_day'].mean()\n \nsalesPartitionDF=pd.DataFrame(salesPartitionDict).transpose()\nsalesPartitionDF.reset_index(inplace=True)\nsalesPartitionDF.rename(columns={'index':'year'},inplace=True)\n\ndata=[go.Bar(x=salesPartitionDF['year'],y=salesPartitionDF[i],name=i)for i in salesPartitionDF.columns[1:]]\nlayout=go.Layout(title='Items sold for every year before and after November')\nfig=go.Figure(data=data,layout=layout)\nfig.update_layout(\n xaxis=dict(\n showline=True,\n showgrid=False,\n linecolor='rgb(204, 204, 204)',\n linewidth=3,\n tickmode='linear',\n dtick=1\n ),\n yaxis=dict(\n showgrid=False,\n zeroline=False,\n showline=True,\n showticklabels=True,\n linecolor='rgb(204, 204, 204)',\n linewidth=3,\n ),\n plot_bgcolor='white'\n)\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:37.342329Z","iopub.execute_input":"2022-06-02T08:42:37.343161Z","iopub.status.idle":"2022-06-02T08:42:37.381727Z","shell.execute_reply.started":"2022-06-02T08:42:37.343118Z","shell.execute_reply":"2022-06-02T08:42:37.381168Z"},"trusted":true},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"name":"Items Sold Before November","type":"bar","x":[2013,2014],"y":[124937.5,103428.5]},{"name":"Items Sold After 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"},"metadata":{}}]},{"cell_type":"code","source":"dateBlockNumMonth={0:'Jan 2013',1:'Feb 2013',2:'Mar 2013',3:'Apr 2013',4:'May 2013',5:'Jun 2013',6:'Jul 2013',7:'Aug 2013',8:'Sep 2013',9:'Oct 2013',10:'Nov 2013',11:'Dec 2013',\n 12:'Jan 2014',13:'Feb 2014',14:'Mar 2014',15:'Apr 2014',16:'May 2014',17:'Jun 2014',18:'Jul 2014',19:'Aug 2014',20:'Sep 2014',21:'Oct 2014',22:'Nov 2014',23:'Dec 2014',\n 24:'Jan 2015',25:'Feb 2015',26:'Mar 2015',27:'Apr 2015',28:'May 2015',29:'Jun 2015',30:'Jul 2015',31:'Aug 2015',32:'Sep 2015',33:'Oct 2015'}\na=salesDF.groupby(['date_block_num','item_id'],as_index=False).agg({'item_cnt_day':'sum'})\nmonthlyHighestDict=OrderedDict()\nn=0\nfor i in range(34):\n b=a[a['date_block_num']==i]\n b=b.sort_values(by='item_cnt_day',ascending=False)[:5]\n b.reset_index(inplace=True)\n for j in range(5):\n #item_name=itemsDF[itemsDF['item_id']==b.loc[j]['item_id']]['item_name'].values[0]\n monthlyHighestDict[n]={'month':dateBlockNumMonth[i],'item_name':str(b.loc[j]['item_id']),'count':b.loc[j]['item_cnt_day']}\n n+=1","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:39.878294Z","iopub.execute_input":"2022-06-02T08:42:39.879197Z","iopub.status.idle":"2022-06-02T08:42:40.335704Z","shell.execute_reply.started":"2022-06-02T08:42:39.879144Z","shell.execute_reply":"2022-06-02T08:42:40.334883Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"code","source":"fig=plt.figure(figsize=(20,20))\ngs=fig.add_gridspec(5,7)\nmonthlyHighestDF=pd.DataFrame(monthlyHighestDict).transpose()\nn=0\nfor i in range(5):\n for j in range(7):\n if n==34:\n break\n df=monthlyHighestDF[monthlyHighestDF['month']==dateBlockNumMonth[n]]\n ax=fig.add_subplot(gs[i,j])\n img=sns.barplot(data=df,y='item_name',x='count',palette='spring',orient='h',ax=ax)\n ax.set_title(dateBlockNumMonth[n])\n img.set(xlabel=None,ylabel=None,xticks=[])\n for s in ['top','right','left']:\n ax.spines[s].set_visible(False)\n ax.tick_params(left=False)\n n=n+1\n \nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:41.167864Z","iopub.execute_input":"2022-06-02T08:42:41.168166Z","iopub.status.idle":"2022-06-02T08:42:44.957553Z","shell.execute_reply.started":"2022-06-02T08:42:41.168132Z","shell.execute_reply":"2022-06-02T08:42:44.956543Z"},"trusted":true},"execution_count":21,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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**The mostly sold products for all months is Branded package T-shirt 1C White,Diablo III(Game), Battlefield IV, Grand Theft Auto V (GTA V), FIFA 14, Sims 4. Most of them are games for PC,XBOX and PS3.**\n> \n> **For eg: Battlefield 4 has been one of the top sold products in Nov 2013,Dec 2013, Jan 2014 and Feb 2014. The release date of Battlefield 4 is 29th October 2013.**\n> \n> **Similarly GTA V was released on 17th September 2013 and it was top sold products in Sep,Oct,Dec 2013 and Jan 2014. We would be wondering what happened in Nov 2013 and it was ocupied by Battlefield 4. Nov 2013 also saw higher sales of Assassin's creed 4 and Call of Duty Ghosts. But its sales faded in subsequent months.**","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(15,6))\ncategoriesSalesDF=salesDF.groupby(['item_category_id'],as_index=False).agg({'item_cnt_day':'sum'})\ncategoriesSalesDF.reset_index(inplace=True)\ncategoriesSalesDF=categoriesSalesDF.sort_values(by='item_cnt_day',ascending=False)\ncategoriesSalesDF=pd.merge(categoriesSalesDF,itemsCategoriesDF[['item_category_name','item_category_id']],on='item_category_id',how='inner')\nfig=px.bar(categoriesSalesDF[:5],x='item_category_name',y='item_cnt_day',title='Most sold categories')\nfig.update_layout(plot_bgcolor='#fff',xaxis=dict(showline=True,linecolor='rgb(204, 204, 204)',linewidth=3),\n yaxis=dict(showticklabels=False))\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:44.959089Z","iopub.execute_input":"2022-06-02T08:42:44.959962Z","iopub.status.idle":"2022-06-02T08:42:45.088172Z","shell.execute_reply.started":"2022-06-02T08:42:44.959927Z","shell.execute_reply":"2022-06-02T08:42:45.087110Z"},"trusted":true},"execution_count":22,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"item_category_name=%{x}
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"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
"},"metadata":{}}]},{"cell_type":"markdown","source":"**Games CD's, Movies CD's, Music CD's are the most sold categories**","metadata":{}},{"cell_type":"code","source":"shopItemSalesDF=salesDF.groupby(['shop_id','item_id'],as_index=False).agg({'item_cnt_day':'sum'})\nshopItemSalesDF.rename(columns={'item_cnt_day':'item_cnt'},inplace=True)\nshopItemSalesDF['item_cnt']=shopItemSalesDF['item_cnt'].astype(np.int16)\nshopItemSalesDF.sort_values(by='item_cnt',ascending=False,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:46.101550Z","iopub.execute_input":"2022-06-02T08:42:46.101870Z","iopub.status.idle":"2022-06-02T08:42:46.470799Z","shell.execute_reply.started":"2022-06-02T08:42:46.101827Z","shell.execute_reply":"2022-06-02T08:42:46.469797Z"},"trusted":true},"execution_count":23,"outputs":[]},{"cell_type":"code","source":"shopTopItem=OrderedDict()\nn=0\nfor shop in shopItemSalesDF['shop_id'].unique():\n shop_id=shop\n item_id=shopItemSalesDF[shopItemSalesDF['shop_id']==shop][:1]['item_id'].values[0]\n item_cnt=shopItemSalesDF[shopItemSalesDF['shop_id']==shop][:1]['item_cnt'].values[0]\n shopTopItem[n]={'shop_id':shop,'item_id':item_id,'item_cnt':item_cnt}\n n+=1\n \nshopTopItemDF=pd.DataFrame(shopTopItem).transpose()\n\nli=[]\nfor i in range(len(shopTopItemDF)):\n if shopTopItemDF.loc[i]['item_id']==20949:\n li.append('item_20949')\n else:\n li.append('others')\nshopTopItemDF['category']=li","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:48.456515Z","iopub.execute_input":"2022-06-02T08:42:48.456806Z","iopub.status.idle":"2022-06-02T08:42:48.616365Z","shell.execute_reply.started":"2022-06-02T08:42:48.456775Z","shell.execute_reply":"2022-06-02T08:42:48.615541Z"},"trusted":true},"execution_count":24,"outputs":[]},{"cell_type":"code","source":"fig=px.bar(shopTopItemDF,x='shop_id',y='item_cnt',color='category', # if values in column category = 'item_20949' and 'others'\n color_discrete_map={\n 'item_20949': 'yellow',\n 'others': 'violet'\n })\nfig.update_layout(plot_bgcolor='#fff',xaxis={'showline':True,'linewidth':1,'linecolor':'black'},yaxis={'showticklabels':False})\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:49.836978Z","iopub.execute_input":"2022-06-02T08:42:49.837293Z","iopub.status.idle":"2022-06-02T08:42:49.897484Z","shell.execute_reply.started":"2022-06-02T08:42:49.837255Z","shell.execute_reply":"2022-06-02T08:42:49.896530Z"},"trusted":true},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"category=item_20949
shop_id=%{x}
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AECBComIKCoWEEMhwABAgS6ItCrgGJsZGTdsxyWz6DIALJf8LOv7d5BsVFwsDr8WOuxjPWCk9VFywsotvvxjuz+dlB05aXjJgQIECBAoDwBAUV5tnomQIAAgeoK9CqgyD4dI/vlffmRjvU+xWP50YhMcOWhmlvdQbH8EaArK7P8mEb2cZ/rfZpI1n7l91Zes1aV13tcZPkTTLbz0Y7l+wsoqvt6MzICBAgQIFBIQEBRiEkjAgQIEEhMIAsohod+s/Cs5lr/KsZGLozBgUbhazTsroCAorve7kaAAAECBLZdQECx7aQ6JECAAIEaCByceajjUQ4P/ZNKBxRrHUK5PMm8HQ8dY1TwAgFFBYtiSAQIECBAoBMBAUUnWtoSIECAAAECVRUQUFS1MsZFgAABAgQKCggoCkJpRoAAAQIECFRaQEBR6fIYHAECBAgQyBcQUOQbaUGAAAECBAhUX0BAUf0aGSEBAgQIENhQQEBhgRAgQIAAAQIpCAgoUqiiORAgQIBAXwsIKPq6/CZPgAABAgSSERBQJFNKEyFAgACBfhUQUPRr5c2bAAEC/S0w21rsGGCg2aj0p3h0PKHELhBQJFZQ0yFAgACB/hMQUPRfzc2YAAECBCL23T8b81+aK07xiGbs+tkdAoriYl1vKaDoOrkbEiBAgACB7RUQUGyvp94IECBAoB4CWUCxcNt0NPYuFRrw4i8Ody2g+PZ3748rr/29uOaK18RjTzm50Pg0ihBQWAUECBAgQKDmAgKKmhfQ8AkQIEBgUwJVCSj27puM113x7rj0Ny+Is858QnsuAopNlVRAsTk2VxEgQIAAgeoICCiqUwsjIUCAAIHuCQgoumfdrTvZQdEtafchQIAAAQIlCQgoSoLVLQECBAhUWqDbAUW2K+Liy98V9z/4UJx84glx03Vvaj++ccP798QHPvipI1ZXX/7qePJpp7Yf8XjRc38+3vG7f9D+3qtf+cK49LUXHGl32+13xFXXfaD95xc+9+x4+2WvitHR4cj++51f/GpMjO+ID/3RZ9vX/euXP7+9S+Oee+87pn2li9Th4AQUHYJpToAAAQIEqiYgoKhaRYyHAAECBLoh0M2AYvVjHHfd/fW48pqb2yHF7uMn1nzEIwsz/vm5Z7dDidXXZyHEnk9+Lm689o2xe9dEO+R4zKNOivNecE47oMiCi1vfc8WRR0ZWfj+z/YPbPhMvOPfp7WtT+hJQpFRNcyFAgACBvhQQUPRl2U2aAAECfS/QzYAiCyRueN+eI4HCzMxcvPWdt8TZTz0tnvOMJ+eeQbHc/oIXPztOf/xjj1ybBRLZV9Z/Flhkuyhu/+xft3dQLO+oWL72pJ884agdGCkuAAFFilU1JwIECBDoKwEBRV+V22QJECBA4LBAtwOK5QAhewwj+1re1bDZgOJTn7nzqFouP+axOqDIGi3vwFh+xCN7jGQ53EhpQQgoUqqmuRAgQIBAXwoIKPqy7CZNgACBvhfodkCx3Tsost0Uy5/6sbKYy2dQLO+gWF3olD8hREDR9y9rAAQIECBQdwEBRd0raPwECBAgsBmBbgYUyzsYslAh27mw8gyKk098xDGPbKwOEVY+4pGFEqvPoMi+/9FPfT7Of+Gz1nzEY/l72e4NAcVmVotrCBAgQIAAga4ICCi6wuwmBAgQIFAxgW4GFNnU1/sUj+x7WWBx4RuubQut/BSPa654TfuTPlYHFFm7lZ/isXzd8iGZK8+gyL63+pNCVh6gWbGybGk4dlBsic/FBAgQIECg9wICit7XwAgIECBAoPsCWUAx/99nit/4ZwZj18/uiMGBRvFrtOyqgICiq9xuRoAAAQIEtl9AQLH9pnokQIAAgeoLTD3c6niQIxODAoqO1bp3gYCie9buRIAAAQIEShEQUJTCqlMCBAgQIECgywICii6Dux0BAgQIENhuAQHFdovqjwABAgQIEOiFgICiF+ruSYAAAQIEtlFAQLGNmLoiQIAAAQIEeiYgoOgZvRsTIECAAIHtERBQbI+jXggQIECAAIHeCggoeuvv7gQIECBAYMsCAootE+qAAAECBAgQqICAgKICRTAEAgQIECCwFQEBxVb0XEuAAAECBAhURUBAUZVKGAcBAgQIENikgIBik3AuI0CAAAECBColIKCoVDkMhgABAgQIdC4goOjczBUECBAgQIBA9QQEFNWriRERIECAAIGOBAQUHXFpTIAAAQIECFRUQEBR0cIYFgECBAgQKCogoCgqpR0BAgQIECBQZQEBRZWrY2wECBAgQKCAgICiAJImBAgQIECAQOUFBBSVL5EBEiBAgACBjQUEFFYIAQIECBAgkIKAgCKFKpoDAQIECPS1gICir8tv8gQIECBAIBkBAUUypTQRAgQIEOhXAQFFv1bevAkQIECAQFoCAoq06mk2BAgQINCHAgKKPiy6KRMgQIAAgQQFBBQJFtWUCBAgQKC/BAQU/VVvsyVAgAABAqkKCChSrax5ESBAgEDfCAgo+qbUJkqAAAECBJIWEFAkXV6TI0CAAIF+EBBQ9EOVzZEAAQIECKQvIKBIv8ZmSIAAAQKJCwgoEi+w6REgQIAAgT4REFD0SaFNkwABAgTSFRBQpFtbMyNAgAABAv0kIKDop2qbKwECBAgkKSCgSLKsJkWAAAECBPpOQEDRdyU3YQIECBBITUBAkVpFzYcAAQIECPSngICiP+tu1gQIECCQkICAIqFimgoBAgQIEOhjAQFFHxff1AkQIEAgDQEBRRp1NAsCBAgQINDvAgKKfl8B5k+AAAECtRcQUNS+hCZAgAABAgQIRISAwjIgQIAAAQI1FxBQ1LyAhk+AAAECBAi0BQQUFgIBAgQIEKi5gICi5gU0fAIECBAgQEBAYQ0QIECAAIEUBAQUKVTRHAgQIECAAAE7KKwBAgQIECBQcwEBRc0LaPgECBAgQICAHRTWAAECBAgQSEFAQJFCFc2BAAECBAgQsIPCGiBAgAABAjUXEFDUvICGT4AAAQIECNhBYQ0QIECAAIEUBAQUKVTRHAgQIECAAAE7KKwBAgQIECBQcwEBRc0LaPgECBAgQICAHRTWAAECBAgQSEFAQJFCFc2BAAECBAgQsIPCGiBAgAABAjUXEFDUvICGT4AAAQIECNhBYQ0QIECAAIEUBAQUKVTRHAgQIECAAAE7KKwBAgQIECBQcwEBRc0LaPgECBAgQICAHRTWAAECBAgQSEFAQJFCFc2BAAECBAgQsIPCGiBAgAABAjUXEFDUvICGT4AAAQIECNhBYQ0QIECAAIEUBAQUKVTRHAgQIECAAAE7KKwBAgQIECBQcwEBRc0LaPgECBAgQICAHRTWAAECBAh0T2BxcSlaC0sd33BkqNnxNf12gYCi3ypuvgQIECBAIE0BOyjSrKtZESBAoHICWUAxOX17DA18tvDYBgauDwFFPpeAIt9ICwIECBAgQKD6AgKK6tfICAkQIJCEwHJAsWv8RYXmc3Dm0hBQFKIKAUUxJ60IECBAgACBagsIKKpdH6MjQIBAMgICivJKKaAoz1bPBAgQIECAQPcEBBTds3YnAgQI9LWAgKK88gsoyrPVMwECBAgQINA9AQFF96zdiQABAn0tIKAor/wCivJs9UyAAAECBAh0T0BA0T1rdyJAgEBfCwgoyiu/gKI8Wz0TIECAAAEC3RMQUHTP2p0IECDQ1wICivLKL6Aoz1bPBAgQIECAQPcEBBTds3YnAgQI9LWAgKK88gsoyrPVMwECBAgQINA9AQFF96zdiQABAn0tIKAor/wCivJs9UyAAAECBAh0T0BA0T1rdyJAgEBfCwgoyiu/gKI8Wz0TIECAAAEC3RMQUHTP2p0IECDQ1wICivLKL6Aoz1bPBAgQIECAQPcEBBTds3YnAgQI9LWAgKK88gsoyrPVMwECBAgQINA9AQFF96zdiQABAn0tULeAYm5+seN6DQ82O75mOy4QUGyHoj4IECBAgACBXgsIKHpdAfcnQIBAnwjULaDYP/WVGGh+snB1luKVsXPslMLtt7OhgGI7NfVFgAABAgQI9EpAQNErefclQIBAnwnUMaAYH3teDDQfyK1Ua/5pMdv6mIAiV0oDAgQIECBAgMD6AgIKq4MAAQIEuiIgoCiP2Q6K8mz1TIAAAQIECHRPQEDRPWt3IkCAQF8LCCjKK7+AojxbPRMgQIAAAQLdExBQdM/anQgQINDXAgKK8sovoCjPVs8ECBAgQIBA9wQEFN2zdicCBAj0tYCAorzyCyjKs9UzAQIECBAg0D0BAUX3rN2JAAECfS0goCiv/AKK8mz1TIAAAQIECHRPQEDRPWt3IkCAQF8LCCjKK7+AojxbPRMgQIAAAQLdExBQdM/anQgQINDXAgKK8sovoCjPVs8ECBAgQIBA9wQEFN2zdicCBAj0tYCAorzyCyjKs9UzAQIECBAg0D0BAUX3rN2JAAECfS0goCiv/AKK8mz1TIAAAQIECHRPQEDRPWt3IkCAQF8LCCjKK7+AojxbPRMgQIAAAQLdExBQdM/anQgQINDXAgKK8sovoCjPVs8ECBAgQIBA9wRqG1Ds3TcZV77j5njzJa+Ix55y8lFid9399djzyc/F2y97VYyODndP050IECBAYF0BAUV5i0NAUZ6tngkQIECAAIHuCSQZUHz7u/fH9e/9UFzzloti966J7mm6EwECBAgIKHqwBgQUPUB3SwIECBAgQGDbBZIMKG67/Y6484tftYNi25eLDgkQILB5ATsoNm+Xd6WAIk/I9wkQIECAAIE6CNQuoMh2R1x8+bvi/gcfWtf35BNPiJuue9Mxj37UoSDGSIAAgVQFBBTlVVZAUZ6tngkQSEsge7/s9GvHiB3ZnZppT2CzArULKJYnutEZFJvFcB0BAgQIlCcgoCjPVkBRnq2eCRBIS2Bq5oEYaP7rwpOanfud2LXzjMLtNSRAYGsCtQ0otjZtVxMgQIBAtwUEFOWJCyjKs9UzAQJpCWQBxdDA+TE89Fe5E1tc2h2TU58TUORKaUBg+wQEFNtnqScCBAgQ2EBAQFHe8hBQlGerZwIE0hIQUKRVT7NJT6DWAUX2mMfrrnh33HPvfcdU5ownnho3XvtGn+KR3po1IwIEaiogoCivcAKK8mz1TIBAWgICirTqaTbpCdQ6oLjh/XvaFbn0tRekVxkzIkCAQGICAoryCiqgKM9WzwQIpCUgoEirnmaTnkBtAwqHZKa3GM2IAIG0BQQU5dVXQFGerZ4JEEhLQECRVj3NJj0BAUV6NTUjAgQIVFJAQFFeWQQU5dnqmQCBtAQEFGnV02zSE6htQJGVInvE4zGPOinOe8E56VXGjAgQIJCYgICivIIKKMqz1TMBAmkJCCjSqqfZpCdQ64Di29+9P/7gts/Emy95RYyODqdXHTMiQIBAQgICivKKKaAoz1bPBAikJSCgSKueZpOeQG0Dio0+wSMrk0/xSG+xmhEBAvUWEFCUVz8BRXm2eiZAIC0BAUVa9TSb9ARqG1CkVwozIkCAQNoCAory6iugKM9WzwQIpCUgoEirnmaTnkCtA4rsDIoHfvhQvP2yVx15xGNmZi7e+s5b4uynnuZsivTWqxkRIFBjAQFFecUTUJRnq2cCBNISEFCkVU+zSU+gtgHFchBxwYufHWed+YSjKnPX3V+PPZ/83FHBRXqlMyMCBAjUS0BAUV69BBTl2eqZAIG0BAQUadXTbNITqG1AkZ1BceU7bm4fkPnYU04+qjLZ4ZnXv/dDcc1bLorduybSq5oZESBAoIYCAoryiiagKM9WzwQIpCUgoEirnmaTnkBtAwo7KNJbjGZEgEDaAgKK8uoroCjPVs8ECKQlIKBIq55mk55AbQOKrBTZoxxXXnNz3HTdm47sosh2T1x8+bvikt94qTMo0luvZkSAQI0FBBTlFU9AUZ6tngkQSEtAQJFWPc0mPYFaBxRZOZYDifsffOhIdW59zxXHnEuRXunMiAABAvUSEFCUVy8BRXm2eiZAIC0BAUVa9TSb9ARqH1A88gyWAAAgAElEQVSkVxIzIkCAQJoCAory6iqgKM9WzwQIpCUgoEirnmaTnkDSAUV2TsWNv/9H8a9f/nyHZaa3ds2IAIGaCQgoyiuYgKI8Wz0TIJCWgIAirXqaTXoCAor0ampGBAgQqKSAgKK8sggoyrPVMwECaQkIKNKqp9mkJyCgSK+mZkSAAIFKCggoyiuLgKI8Wz0TIJCWgIAirXqaTXoCAor0ampGBAgQqKSAgKK8sggoyrPVMwECaQkIKNKqp9mkJyCgSK+mZkSAAIFKCggoyiuLgKI8Wz0TIJCWgIAirXqaTXoCAor0ampGBAgQqKSAgKK8sggoyrPVMwECaQkIKNKqp9mkJyCgSK+mZkSAAIFKCggoyiuLgKI8Wz0TIJCWgIAirXqaTXoCAor0ampGBAgQqKSAgKK8sggoyrPVMwECaQkIKNKqp9mkJyCgSK+mZkSAAIFKCggoyiuLgKI8Wz1vLLB/6msRsVSYqdkcjZ1jpxZuryGB7RYQUGy3qP4IbK9A0gHF9lLpjQABAgS2IiCg2IrextcKKMqz1XN+QDE+9vxCIcXi4vEx2/q4gMKi6qmAgKKn/G5OIFeg1gHFt797f1x8+bvi/gcfOmaiZzzx1Ljx2jfG7l0TuQgaECBAgED5AgKK8owFFOXZ6rlYQDHQ/F4uVWv+SQKKXCUNyhYQUJQtrH8CWxOobUAxMzMXb33nLXH2U0+L815wztYUXE2AAAECpQsIKMojFlCUZ6tnAYU1kJaAgCKteppNegK1DSj27puMK99xc7z5klfEY085Ob3KmBEBAgQSExBQlFdQAUV5tnoWUFgDaQkIKNKqp9mkJ1DbgGJ5B8UFL352nHXmE9KrjBkRIEAgMQEBRXkFFVCUZ6tnAYU1kJaAgCKteppNegK1DSiyUtx2+x1x5xe/Gm+/7FUxOjqcXnXMiAABAgkJCCjKK6aAojxbPQsorIG0BAQUadXTbNITqHVA4ZDM9BakGREgkK6AgKK82gooyrPVs4DCGkhLQECRVj3NJj2B2gYUDslMbzGaEQECaQsIKMqrr4CiPFs9CyisgbQEBBRp1dNs0hOobUDhkMz0FqMZESCQtoCAorz6CijKs9WzgMIaSEtAQJFWPc0mPYHaBhQOyUxvMZoRAQJpCwgoyquvgKI8Wz0LKKyBtAQEFGnV02zSE6htQJGVwiGZ6S1IMyJAIF0BAUV5tRVQlGerZwGFNZCWgIAirXqaTXoCtQ0oskc8XnfFu+Oee+9bsypnPPHUuPHaN8buXRPpVc2MCBAgUEMBAUV5RRNQlGerZwGFNZCWgIAirXqaTXoCtQ0o0iuFGREgQCBtAQFFefUVUJRnq2cBhTWQloCAIq16mk16AgKK9GpqRgQIEKikgICivLIIKMqz1bOAwhpIS0BAkVY9zSY9AQFFejU1IwIECFRSQEBRXlkEFOXZ6llAYQ2kJSCgSKueZpOeQK0DiuVP8vjUZ+6Mk088IW667k1x8omPiLe+85Y4+6mnxXkvOCe9ipkRAQIEaiogoCivcAKK8mz1LKCwBtISEFCkVU+zSU+g1gHFDe/fE4951Enxgl94elz/3g/Fr5733HjsKSfHXXd/PfZ88nPx9steFaOjw+lVzYwIECBQQwEBRXlFE1CUZ6tnAYU1kJaAgCKteppNegK1DSiyT/G48h03x5sveUV718TKgOLb372//edr3nKRT/FIb82aEQECNRUQUJRXOAFFebZ6FlBYA2kJCCjSqqfZpCeQZEBhB0V6C9WMCBCov4CAorwaCijKs9WzgMIaSEtAQJFWPc0mPYHaBhRZKW67/Y6484tfjbe8/lfjP9/yh+1HPHYfPxGvu+LdccGLn+0MivTWqxkRIFBjAQFFecUTUJRnq2cBhTWQloCAIq16mk16ArUOKLJyZLslLnzDtUdV5tb3XBFnnfmE9KplRgQIEKixgICivOIJKMqz1bOAwhpIS0BAkVY9zSY9gdoGFCvPoMgOxlz55RGP9BaqGREgUH8BAUV5NRRQlGerZwGFNZCWgIAirXqaTXoCSQYUDslMb6GaEQEC9RcQUJRXQwFFebZ6FlBYA2kJCCjSqqfZpCeQZECxfDaFjxlNb8GaEQEC9RUQUJRXOwFFebZ6FlBYA2kJCCjSqqfZpCdQu4Ai2x1x8eXvivsffGjdapx84glx03VvitWPfqRXPjMiQIBAfQQEFOXVSkBRnq2eBRTWQFoCAoq06mk26QnULqBYLsFGZ1CkVyYzIkCAQP0FBBTl1VBAUZ6tngUU1kBaAgKKtOppNukJ1DagSK8UZkSAAIG0BQQU5dVXQFGerZ4FFNZAWgICirTqaTbpCQgo0qupGREgQKCSAgKK8soioCjPVs8CCmsgLQEBRVr1NJv0BAQU6dXUjAgQIFBJAQFFeWURUJRnq2cBhTWQloCAIq16mk16ArULKLKzJ153xbvjwpc/P2798KfjnnvvW7MqZzzx1Ljx2jfG7l0T6VXNjAgQIFBDAQFFeUUTUJRnq2cBhTWQloCAIq16mk16ArULKNIrgRkRIECgPwQEFOXVWUBRnq2eBRTWQFoCAoq06mk26QkIKNKrqRkRIECgkgICivLKIqAoz1bPAgprIC0BAUVa9TSb9AQEFOnV1IwIECBQSYFeBBSt+cVozf9jRx7DQ/8kBgeasX/qKzE+9rwYaD6Qe31r/mkx2/pY7Bw7JbdtGQ0EFGWo6rOIwP6pr8X42PNjoPm93Oat+SfFbOvjsXPs1Ny2GhAoS0BAUZasfglsj4CAYnsc9UKAAAECOQK9CihmWzfG0ODHCtVnrvWKGBu5SEBRSEsjAhECCqugbgICirpVzHj7TUBA0W8VN18CBAj0SKCXAcXOsdcXmvXkwfcJKApJaUTgkICAwkqom4CAom4VM95+ExBQ9FvFzZcAAQI9EhBQlAfvEY/ybPW8sYCAwgqpm4CAom4VM95+ExBQ9FvFzZcAAQI9EhBQlAcvoCjPVs8CCmsgLQEBRVr1NJv0BAQU6dXUjAgQIFBJAQFFeWURUJRnq2cBhTWQloCAIq16mk16AgKK9GpqRgQIEKikgICivLIIKMqz1bOAwhpIS0BAkVY9zSY9AQFFejU1IwIECFRSQEBRXlkEFOXZ6llAYQ2kJSCgSKueZpOegIAivZqaEQECBCopIKAorywCivJs9SygsAbSEhBQpFVPs0lPQECRXk3NiAABApUUEFCUVxYBRXm2ehZQWANpCQgo0qqn2aQnIKBIr6ZmRIAAgUoKCCjKK4uAojxbPQsorIG0BAQUadXTbNITEFCkV1MzIkCAQCUFBBTllUVAUZ6tngUU1kBaAgKKtOppNukJCCjSq6kZESBAoJICAoryyiKgKM9WzwIKayAtAQFFWvU0m/QEBBTp1dSMCBAgUEkBAUV5ZRFQlGerZwGFNZCWgIAirXqaTXoCAor0ampGBAgQqKSAgKK8sggoyrPVs4DCGkhLQECRVj3NJj0BAUV6NTUjAgQIVFJAQFFeWQQU5dnqWUBhDaQlIKBIq55mk56AgCK9mpoRAQIEKikgoCivLAKK8mz1LKCwBtISEFCkVU+zSU9AQJFeTc2IAAEClRQQUJRXFgFFebZ6FlBYA2kJCCjSqqfZpCcgoEivpmZEgACBSgoIKMori4CiPFs9CyisgbQEBBRp1dNs0hMQUKRXUzMiQIBAJQUEFOWVRUBRnq2eBRTWQFoCAoq06mk26QkIKNKrqRkRIECgkgICivLKIqAoz1bPAgprIC0BAUVa9TSb9AQEFOnV1IwIECBQSQEBRXllEVCUZ6tnAYU1kJaAgCKteppNegICivRqakYECBCopICAoryyCCjKs9WzgMIaSEtAQJFWPc0mPQEBRXo1NSMCBAhUUkBAUV5ZBBTl2epZQGENpCUgoEirnmaTnoCAIr2amhEBAgQqKSCgKK8sAorybPUsoLAG0hIQUKRVT7NJT0BAkV5NzahmAjNzCx2PeHR4oONrXECg1wICivIqIKAoz1bPAgprIC0BAUVa9TSb9AQEFOnV1IxqJrDv72dj/q/mCo964OzhOP5RI4Xba0igKgICivIqIaAoz1bPAgprIC0BAUVa9TSb9AQEFOnV1IxqJpAFFAu3TUfjH5dyR750XCOavzImoMiV0qCKAgKK8qoioCjPVs8CCmsgLQEBRVr1NJv0BAQU6dXUjGomIKCoWcEMd9MCAopN0+VeKKDIJdKgJIH9U1+L8bHnx0Dze7l3aM0/KWZbH4+dY6fmttWAQFkCAoqyZPVLYHsEBBTb46gXApsWEFBsms6FNRMQUJRXMAFFebZ63lhAQGGF1E1AQFG3ihlvvwkIKPqt4uZbOQEBReVKYkAlCQgoSoKNCAFFebZ6FlBYA2kJCCjSqqfZpCcgoEivpmZUMwEBRc0KZribFhBQbJou90IBRS6RBiUJ2EFREqxuSxMQUJRGq2MC2yIgoNgWRp0Q2LyAgGLzdq6sl4CAorx6CSjKs9XzxgICCiukbgJ1CijmWosxPfe1joh3jp0WA81GR9doTKBKAgKKKlXDWPpSQEDRl2Xvy0kLKMoru4CiPFs9CyisgbQE6hZQtBaujrHh9xYqwoHp/xTjYxcIKAppaVRVAQFFVStjXH0jIKDom1L3/UQFFOUtAQFFebZ6FlBYA2kJ1DGgGB99W6Ei7J/6sICikJRGVRYQUFS5OsbWFwICir4os0lGhICivGUgoCjPVs8CCmsgLQEBRVr1NJv0BAQU6dXUjGomIKCoWcEMd9MCAopN0+VeKKDIJdKgJAFnUJQEq9vSBAQUpdHqmMC2CAgotoVRJwQ2LyCg2LydK+slIKAor14CivJs9byxgIDCCqmbgICibhUz3n4TEFD0W8XNt3ICAorKlcSAShIQUJQEGxECivJs9SygsAbSEhBQpFVPs0lPQECRXk3NqGYCAoqaFcxwNy0goNg0Xe6FAopcIg1KErCDoiRY3ZYmIKAojVbHBLZFQECxLYw6IbB5AQHF5u1cWS8BAUV59RJQlGer540FBBRWSN0EBBR1q5jx9puAgKLfKm6+lRMQUFSuJAZUkoCAoiRYj3iUB6vnXAEBRS6RBhUTEFBUrCCGQ2CVgIDCkiDQYwEBRY8L4PZdExBQlEdtB0V5tnq2g8IaSEtAQJFWPc0mPQEBRXo1NaOaCQgoalYww920gIBi03S5Fwoocok0KEnADoqSYHVbmoCAojRaHRPYFgEBxbYw6oTA5gUEFJu3c2W9BAQU5dVLQFGerZ43FhBQWCF1ExBQ1K1ixttvAgKKfqu4+VZOQEBRuZIYUEkCAoqSYJ1BUR6snnMFBBS5RBpUTEBAUbGCGA6BVQICCkuCQI8FBBQ9LoDbd01AQFEetR0U5dnq2Q4KayAtAQFFWvU0m/QEBBTp1dSMaiYgoKhZwQx30wICik3T5V4ooMgl0qAkATsoSoLVbWkCAorSaHVMYFsEBBTbwqgTApsXEFBs3s6V9RIQUJRXLwFFebZ63lhAQGGF1E1AQFG3ihlvvwkIKPqt4uZbOQEBReVKYkAlCQgoSoJ1BkV5sHrOFRBQ5BJpUDEBAUXFCmI4BFYJCCgsCQI9FhBQ9LgAbt81AQFFedR2UJRnq2c7KKyBtAQEFGnV02zSExBQpFdTM6qZgICiZgUz3E0LCCg2TZd7oYAil0iDkgTsoCgJVrelCQgoSqPVMYFtERBQbAujTghsXkBAsXk7V9ZLQEBRXr0EFOXZ6nljAQGFFVI3AQFF3SpmvP0mIKDot4qbb+UEBBSVK4kBlSQgoCgJ1hkU5cHqOVdAQJFLpEHFBAQUFSuI4RBYJSCgsCQI9FhAQNHjArh91wQEFOVR20FRnq2e7aCwBtISEFCkVU+zSU9AQJFeTc2oZgICipoVzHA3LSCg2DRd7oUCilwiDUoSsINiY9jZuYWO5UeGBzq+xgXFBQQUxa20JNALAQFFL9Tdk8AKAQGF5dAvAgKK8iotoCjPVs8bCwgoNvaZmv5BNJq/XXgZteYviV3jpxdur2HnAgKKzs1cQaCbAgKKbmq7F4E1BAQUlsVWBOYXljq+vNmMaDYaHV+31QsEFFsVXP96AUV5tnoWUGxlDWQBxdDQ+TE8eGduN4uLj4jJ6c8KKHKlttZAQLE1P1cTKFtAQFG2sP4J5AgIKCyRTGB69mDHEGMjO2JmbiFa879f+NrFxUfHxPi5Aop1xCYPvi/GRi6KwYFm7J/6SoyPPS8Gmg/k+rbmnxazrY/FzrFTctuW0UBAUYaqPosI2EGxsZKAosgq6m4bAUV3vd2NQKcCAopOxbQnsM0CAoptBq1pd/umvhwjQ1cWHv38wo2xc+zR7YBicemS2DFyc6Fr9x34MwHFBlICikLLSCMCRwQEFAKKur0cBBR1q5jx9puAgKLfKm6+lRMQUFSuJD0ZUBZQTIydG83mP+TevzV/1uF/rRdQ5GG15hdjtpWFOa/Pa9r+voCiEJNGBAQUBdeAHRQFobrYTEDRRWy3IrAJAQHFJtBcQmA7BQQU26lZ374EFMfW7uDMpTEwcH2MDDU3XVgBxVp0zdg7+YXYPfGUTbu6kMCygB0UG68FAUX1XisCiurVxIgIrBQQUFgPBHosIKDocQEqcnsBhYBiK0vRGRRb0XPtVgQEFAKKrayfXlwroOiFunsSKC4goChupSWBUgQEFKWw1q5TAYWAYiuLVkCxFT3XbkVAQCGg2Mr66cW1AopeqLsngeICAoriVloSKEVAQFEKa+06FVAIKDKB7NDTTr9GhwdCQNGpmvbbJSCgEFBs11rqVj8Cim5Juw+BzQkIKDbn5ioC2yYgoNg2ylp3JKAQUGQCeye/FCPD7+1gLb8rdoxMCCg6ENN0ewX6IaBYXFqKfQfu7ghubOT0yMJDZ1B0xNaVxgKKrjC7CYFNCwgoNk3nQgLbIyCg2B7HuvcioBBQLAcUuyd+NiIWc5f0zNzzY3HpIwKKXCkNyhTol4BicurzsWvncwtRTs9eGI3GTQKKQlrdbySg6L65OxLoREBA0YmWtgRKEBBQlIBawy4FFAIKAUUNX7iGHP0VUDynUMWnZ18toCgk1ZtGAoreuLsrgaICAoqiUtoRKElAQFESbM26FVBsHFAsLXVe0EYjom4fM5o94mEHRee1dkXvBAQUx9oLKHq3HovcWUBRREkbAr0TEFD0zt6dCbQFBBQWQnsdTH05JsbOjWbzH3JBWvNnxWzrY7Fz7NHtQxUXly6JHSM3517Xvs+BP4uJ8XOjmf323uWvxcWlmJy+PXaNv6jQnQ/OXBoDA9fHyFAzDkx/J+YXfljouqxRs7Ezjhs/TUCxplgz9k5+IXZPPKWwp4YE1hMQUAgo6vbqEFDUrWLG228CAop+q/gm5zs3vxgHZ+7p6OqdY2fG4ED3fwnqaJAVaCygqEARKjAEAcWxRVgdUIwM/YsYGsw/qG5h8VExNf1pAcW661pAUYGXfDJDEFAIKHqxmLNddZPT93Z06+HBxx06F2TmgRgaOD+Gh/4q9/rFpd0xOfW52LXzjNy2ZTSYay1Ga+HqGB99W6Hu9099OMbHLoiBpr9/FwLTqJICAopKlqV6g8oCilbrd2JHwTfIA9O3xNjIKwUUBUopoCiA1AdNBBQCikzAIx4bv9jnFzp/1kdQXu4bqIBCQFHuClu79yyg2Dd1R0yM/Uah28/NPyMajVt7FlBkjxt2+jU02AwBRadq2qcgIKBIoYpdmMNyQDE+dmWhu00e/G8CikJS/fOIR/ZRa518NZs/EWMjw51cUuu2AgoBhYAi/yW8f+qr0Wh8Ib/h4RaNxjNj59hPFW6vYecCAgoBReerZutXLAcUx+98ZqHOpmd/racBxeTBb0Sj8ceFxpo1Wlp6cUzseJyAorCYhikJCChSqmaJc9lKQHFwdrLjke0Ymej4mrpe0C87KLJn3sfHXl+oTIuLJ8bS0kcEFOto9esZFB7xOHpB9OPHjGYBxfjY82Og+f3c95LW/Jkx2/pDAUWu1NYaCCgEFFtbQZu7uo4BxdjIi2Jw4Fu5E55feHxMz35CQJErpUGqAgKKVCu7zfPaSkCx78A9MTL8bwuPaGHxv8b46EmF29e9YS8Cis1+IsJWrA8dyndWoS5m5n5ZQLGBlIBi42XkDIq8l1l9z6AQUOTVtvvfF1AIKLq/6rIdBoce8ajTDgoBRS9WinvWUUBAUceq9WDMWw0oJsafHc3G3tyRz7WeEa2Fjwoo1pFaOq4RzV8Zi+MfNZJruVGD7HGCpaX9hfsYGnhMjI89snD7tRoKKDbm84jHsT4Oydx4zdhBsbGPHRRbessufLGAQkBReLFsY0MBxdqYDsncxkWmq54JCCh6Rl+vGwsoyqtXL3ZQHPpl+Bei2fxR7sTm5s+OVuujAopcqa01EFAIKDIBh2Ru/Dqyg2Jr7zNlXC2gEFCUsa7y+hRQCCjy1ojv11dAQFHf2nV15AKK8rgFFMfaesQj71+Gz4rZ1sdi59ijY2ZuIRaXLokdIzcXWqT7DvxZTIyfG81G9z+CbHFxKSanb49d4y8qNFY7KDZmsoMi73XiDIpCL7QtNhJQCCi2uIQ2dbmAQkCxqYXjoloICChqUabeD1JAUV4NBBQCikzADopj14GAQkCxWsAOivJ+Fm22ZwGFgGKza2cr1wkoBBRbWT+urbaAgKLa9anM6AQU5ZWiTgFF9q/1nX4NDzXb/1rvDIqN5eoUUByc3Rex1OpoKewYfUTYQZFP5hGPjY0EFPlrqNstBBQCim6vuex+Aor8gGLy4Dc7Kk2zuSvGR0/s6BqNCZQhIKAoQzXBPgUU5RW1bgHF0tLFhTHmWr8WE+PP6klAsbC4FEub+LiSwYFm4fltZ8O6BRQDjZdFNOYKEUzP/Mc4fuLJAooCWgIKAUWBZVKpJgIKAUUvFqSAIj+gePjA3bFz7OWFyrO4+JPRWtgjoCikpVHZAgKKsoUT6V9AUV4h6xhQjI18oBDIvgN/0dOAYmr6E9Fo/EOhsWaNRoZeFdmOj1581TGgGBn+01yqpRiKfZP/S0CRK3WogYBCQFFwqVSmmYBCQNGLxSigKBZQ7Bo/JxqNydwSzbXOEVDkKmnQLQEBRbeka34fAUV5BRRQHGu7HYdkZjsosoDiuPGXFire1MwVMTTw2wKKAlrZIx7ZDgoBxY+xWvNPO3xw6SkFBNdvIqCoXkAxefDrHdV0YOB/ix0juzq6ps6NBRQCil6sXwGFgKIX6849uyMgoOiOc+3vIqAor4QCCgFFJmAHxbHrwCGZG7/v+BSPjX1a89vzKR4PT/5t7NxxfqEfAgsLp8bC0kcEFOtoteafFLOtj8fOsVMLeVal0eLSUkxOfT527XxOoSFNz746Go2bYnR4IKamfxBDQ+fH8OCdudcuLj4iJqc/G7vGT89t2+8NBBQCin5/DaQ8fwFFytXdxrkJKLYRc1VXAgoBhYBi7deXgEJAsVqgF4dkZgHFromfi0bkHww7O/eLAooNlq2AYuPXdK8Dik0c29SeUA8+tdohmesspf1TH47xsQtioNmI7AwKj3iU9/d3PZcnIKAozzapngUU5ZVTQCGgEFAIKJYFPOKx8XutgKK8n0Wb7dkjHsfK1XUHxVxrMQ7O/mVHS2FixzntX4a7/WUHxdriAopur0T3K0NAQFGGasl9Zs/WTx68p6O77Bg5fUvP1gsoOuLuqLGAQkAhoBBQCCiKvW0KKIo5dbOVgCKtgKK1cFWMj15TaAntn/pojI+dJ6AooDV58BsxNvKiGBz4Vm7r+YXHx/TsJ2Jix+MiC41aC1fH+Ojbcq/LGggoCjFpVHEBAUXFC7TW8A4d/rcnJna8ptDoD86+KYYGrhJQFNLqfiMBRfUCiuw11unXVv8FyRkUx4p7xGPjVegMio19tvMMCo94rG8toBBQbPXnX6c/b7P2vdhBMb+wFPMLix0Nt9lsxPBgMwQUHbFp3OcCAooaLoDlgOK48WKfbTw18zYBRYXrLKCoXkBxYPq+WFy8u4NV84Q4bvxnOmh/bFMBhYAiE/CIx8YvIzsotvQ2U8rFAgoBRT8FFPu+NB1L31so9Fpq7GrExDN3CCgKaWlE4McCAooargYBRQ2LtsGQBRTVDChGhl4aQ4NfyV1sC4uPjqnpTwso1pFaiqHYN/m/4viJJ8di9nja9O2xa/xFua5ZAzsoNmayg2JjHzsoCr3MttxoswFFtnV9aqazx1WPGz+zJ48T9MuneBx6nMAjHitfFItLu2Ny6nOxa+cZke2gyAKK5p/MFnrdLD5jqJYBRbYOOv0aGmz25LDUTsepfT0EBBT1qNNRo9xKQDEzVyz1XXnD7GOynEFR3kIRUAgoMgE7KI5dB3UNKGZbC7G42Nlf8EaGBiPbCmwHxcbvtXZQlPezaLM9byWgaC38VoyPXl/o1vunPhbjYy8RUBTS2lwjAcWxbv0YUGS/KywsvrXwImrNvyB2jT9DQFFYTMM8AQFFnlAFv7+VgGLy4DdjcKDY4UfZ1OcX3hITOx4voChxHQgoBBQCirVfYHUOKBYW3hDN5g8KvXPMti6OibFfElAU0KpTQLHZfxAowLDtTbLn6lvz8x31OzgwGNm/mm49oLi20H33T31cQFFIavONBBQCivHREyN771paemWMjXyk0GJ6+MBfCigKSWlUVEBAUVSqQu22GlCMjbwkBge+kTuj+YV/GtOzfyygyJXaWgMBhYBCQJFmQLFj9L8UenPYN/UnAopCUtkJ9V+N8bHnx0Dz+7lX9PoRj+nZgxFxce44lxvMzP2b2D3x1MLtt7NhFlBMz94SQ4N/XKjb+YVnxcjQGwQU62jV+WNGPeJxdFH7dQeFgKLQW6FGJQkIKEqCLbNbAUWZut3vW0AhoBBQCCjsoCj23lu3gKLReHmMDhf7pX/v5N/0PKCY2HFRoUIcmL5BQLGBlICi0DLaUmYDircAACAASURBVKNefYpHP5xBYQfFlpami7dBQECxDYjd7kJA0W3xcu8noBBQCCgEFAKKYu+z/RBQZL94bear0djMVYeuWd5BIaBY29AhmWu77J/6aIyPnbelc0GmZ1sxN//1jhbvcTtOb7ffN3VHHL/zmYWunZ79tWg0bo3sXLWpmQdiaOD8GB76q9xr7aDIJQqPeOQbadGZgICiM69KtBZQVKIM2zYIAYWAQkAhoBBQFHtL7YeAIvtleP/UHcVADrcaHX5G+xevzX4JKDaWE1CUG1A0Gi+L4cH8sCAbxf6Dn4xd408XUKyzZPdPfTjGxy5oh0YPH7g7do2fE43GZO5bw1zrnGgt7AlnUORSadAFAQFFF5C3+xYCiu0W7W1/AgoBhYBCQCGgKPY+3C8BxeTUn8eunc8rhHJw9qJoNt4roCiktblGAoryA4rR4Y8XKs7DB+4UUGwgJaAotIw0qriAgKLiBVpreAKKGhZtgyELKAQUAgoBhYCi2Pu6gOJYJwFFsbWzlVYCCgHFrp1nxPzCUjiD4ti14BGPrby7uHYtAQFFDdeFgKKGRRNQxN7JL8TuibMKFW9m7pdjaekjMTYyXKj9+kHeJ+K48ZcW6mNq5ooYGvjtGB5qxoHp+2Jk6KUxNPiV3GsXFh8dU9OfjuPGfya37UYN9k19OSbGzo1m8x9y+2nNnxWzrY/FzrFHtz8ObHHpktgxcnPude0g5MCfxcT4udHcwgPrB2f3xUDjZTEy/Ke591yKodg3+b/i+Iknx+LiUkxO3x67xl+Ue13WoO4fM+pTPAqVuaNGAgoBRbZ1vdtfvQgosl+GFxYXO5pq9r6effTrZr968TGj2RkU2SMedlD8uGrzC4+P6dlPxMSOx8Whmlwd46NvK1RWOygKMWlUcQEBRcULtP4vXnviuPGXFxr91MzbYmjgqvYvXpMHvxk+ZrQQW9ca2UFxLLWAYuPlJ6DY2Gdh8VGHQ6PTojW/GLOtG2Pn2OsLvaYnD74vxkYuisGBZuyf+kqMjz0vBpoP5F7bmn/a4dDolJhtLcTCwhtCQJHL1nEDAYWAop8CiunZ34+B5l2FXieLS/97jAxdJqBYR8shmRsvI2dQFHqZadQlAQFFl6C38zZ2UGyn5vb0tZVT1wUUAopMwA6KNX7xmrk0Bgauj5H2rpbvxMjQv4ihwbtzX7QCijyi5uEdTU/Ja1i57wsoBBT9FlBM7Liw0OvwwPTvCCg2kBJQCCgKvZA0qoSAgKISZehsEAKKzry60TqryeTBOzu61Y6Rp7d3tQgoBBQCirVfOh7x2PgtZWbu+bG49JHYMTIRB2cno9neJv3pAu9DAooCSEeaPDz5t7Fr4ueiEa3cy2bnfjEW2jXZFdOzB6PReHmMDv9x7nVZg72TfxO7J54ahx4ncEjmarT9Ux+P8bGXbOkjLbPHJjr9GhxoHK7J52PXzucUunx69tXRaNx06CMtp38QQ0Pnx/Bg/t8RFhcfEZPTn41d46e3zzvIdlAIKI4md0jmxkvQIx6FXqIaVVxAQFHxAq01PAFF9Yp2qCa3xXHj5xca3NTMlTE0cLWAYh2tlY94HJzZG/ML9xdyXW503PhpcagmzqBYDecMio2Xkkc8Onqpdb2xHRTHkjsks/gynJ6di/mFPyh8wfzC6bF74mcFFOuI7Z/6aIyPnbel0MgZFMfiOoOi8EtUw0QFBBRbLGy2tf/hA1/qqJexkTO29HFgAoqOuLvSWECxNvO+A38RE+PPah/IuNlDMrOAYmDgghgcuLdQLScPfiqO3/lkAcU6WgIKAUWEHRSF3kwON7KD4litA9M3xMjQG9rnHeyf+lqMjz0/Bprfy2VtzT8pZlsfj51jpx4+/O+3Ynz02tzrsgbbsYMiCygOHcj4R4XuuXfyLgHFBlICio2X0eIzhmLimTtieDA7A+4bMTbyohgc+Fbu2hNQ5BJpkLiAgGKLBc4Cin1TfxXH73xmoZ6mZ8+PRuODAop1tOZaz4jWwkdjfPSkQp5VaSSgKD+gGBn689xyLy2Nxr6p/ymg2EBKQCGgEFDkvpUc1UBAIaDo1ad4eMTj2LXnEY+N37884tHZ+7vW1RQQUGyxLj8OKP5ZoZ6mZ192JKDITpfv9Cv71wo7KDpVK7+9gEJA4WNG114DPmY0//1n39SfxMTYL0Wzme00+lL7X2wj8n8+OINiY9vW/Jkx2/rD2Dn2U/lF2KCFgEJAIaBY+wViB8XGby12UGzprdfFfSwgoNhi8bcSUEzNPBhLSx8sPIL5hV+I43eeKaAoLNa9hgIKAYWAQkAx2/pY7BzzMaNlvvM6g+JY3X48gyL7mdvpV/bpHx7x2FhtrrUYrYWrYnz0mkK8KwOK7NpOv7KDwp1BcayaRzw6XUnapyYgoNhiRbcaUAwNXBDDQ3fkjmJpaSL2Td0hoMiV6k2DXgQU2Q6c1vw/djTh4aETIjuR/NBHWv5CNJs/yr1+bv7saLWyg7AeGTNzC7G0dHGMjXwg97qswXaeQeERjx+Tt+bPikO/DD+6XZPFpUtix8jNBWvyZzExfm77XJDNfh2c3RcDjZfFyPCf5nZhB0UuUdhBkW+03EJAIaDIgoaHD/xtNBvfLbxwBgeeGTtGdwsocsS2ElBkNRka3FO4Jo34N7Fj9BECijXEBBSFl5GGiQoIKLZYWAHF2oCTB/9bjI288tAvwwfuiYnxZ0ezsTdX2xkUGxMtHdeI5q+MxfGPGoksoJhtvTOGBv8k1zVrMNe6MMZGfl1AsY7W1MwVMTTw2+1PVjkwfV+MDL00hga/kmu7sPjomJr+dNhBsTaVgCJ3CQko8omOtBBQCCiWA4pd4z8fjcZM7uqZbZ0bCwt7BBS5UtnfEza/gyILKHaNPyMajYO5d5ptPftwTQQUa2EJKHKXkAaJCwgotlhgAYWAIhPo1Q6KLKDYOfZvC63iyYO3Cig2kBJQFFpG7UZ2UBxr1Zp/2uFdLR7xKL6SOm8poBBQCCjWft0cmP6dGBm6rP3JKpv9ElAcK7e4tDsmpz4Xu3aeEfMLS7HvS9PR/JPZQsTOoCjEpBGBYwQEFFtcFAIKAYWAYv0XkUc8ir/BHHrs5txoNv8h9yKPeGxMtLD4qMO7Wk47vNPoxtg59vpc16zB5MH3xdjIRTE4kH184ldifOx5MdB8IPdaAUUu0bY0EFAIKAQUAopd409vIxx69Lnop+j9WjQat7Y/RW9q5oEYGjg/hof+Kvd9SUCRSxQPH/jLw7tn8ttqQaCIgICiiNIGbQQUAgoBhYDCIx7rrwGPeOT/kHEGRb7RcgsBhYBCQJEfUGz2EFE7KI61FVDkvz8LKPKNtOhMQEDRmdcxrQUUAgoBhYBCQCGgsINiiz9MC14uoNg4oMj+TtLpV3Ze7vzCYkzP3hITOy4qdPmB6RtiZOgN7ccJ9k99LcbHnh8Dze/lXtuaf1LMtj4eO8dOPXzewW/F+Oi1uddlDfZPfTzGx14SAor8gGL/wXsjlu4t5Jo1ajROj4kdP+0MijXEBBT5y0hAkW+kRWcCAorOvAQUY1cWEnNI5sZMUzNXxtDA1e0DGff9/Wws3DYdjX/M/5vlWodkOoPix9ZLS6Oxb+p/xvE7n3z4XJBPxHHjLy20Zp1BUYip3cgZFMdaCSiKr5+ttBRQbBxQHJj+Xswv/F1h4kbj+Ng1frqAYh2xvZN3xe6Jn43FpaWYnPp87Nr5nEK207OvjkbjpkOPE0z/IIaGzo/hwTtzr11cfERMTn/2cE2WYnr292Nix4W512UNVp5BkQUU4yMvjIGB7+ReO7/wxJie/SMBxTpSAorcJeQRj3wiLToUEFB0CLa6uR0UawMKKAQUmYAzKIq/wTiDYo1fvGYujYGB62Ok/ckq34mRoX8RQ4N356I6gyKPqBl7J78Quyeektewct8XUOQHFCNDvxJDg3fl1m5x8SdicvrPBRQbSAkoNl5G+6eyjyA/b8WuFp/isVLMIZm5b0MaEFhTQECxxYUhoBBQZAI+xWPtdSCgKP4GI6AQUDSbjdg7+aX2v9hGLOYunpm558fi0kdix8hEHJydjGbjZTE6/Onc6yIEFAWQjjR5ePJvY9fEz0UjWrmXzc79Yiy0a7IrpmcPRqPx8hgd/uPc67IGeyf/JnZPPPXwv9b/eeza+bxC1x2cvSiajfe2/7U+20EhoDiarR8/ZtQOimNfOtOzDsnc6A1lrnVOtBb2xPjoiTEztxBLS6+MsZGPFHoP8ohHISaNOhAQUHSAtVZTAYWAQkCx/otIQFH8DUZAIaCoW0CRbXvv9KuZHXiwhS87KNZ4nQgoNlxRAoqNX3Ae8djYxyMe+W/YAop8Iy06ExBQdOZ1TGsBhYBCQCGgcEjm+mvAp3jk/5Cp66d4HJj+biwsfCt/godbNBonxnHjT2qfd7CYv0HkqH6zXOPQgYxfPXwg4/dz79uaPzNmW38YO8d+KrftRg3soDhWxyGZGy8pZ1Bs7DPbenYsLOyJHaOPiOnZVjTau78+Xuh1+vCBO8PHjK5PtX/qwzE+dsHhx27ujl3j50SjMZlrawdFLpEGXRQQUGwRW0BRvYAiq8lD357uqLLjjxqOsZGBjq5Z2dgjHmvT2UFRfEnZQXGs1UFnUGy4gHr9iEcWUBx6nOBvchf6wuJJMTX9Z0cCiunZm6PZfCD3uqzB0tIJMTL0OgHFOloe8cj7Zfjcw78M747p2bnDvwz/UaG15wyKjZmcQbGxjzMoCr3MNCJwjICAYouLQkBR0YDiW9Mx8KGZQtVdeOxAjJ8/LqBYR2tu/uxotbKDsB55+LnEi2Ns5AOFbAUUhZjajQQUAopePOKxuNj5YxpZpbKxbjWgmNjxm4VeIAemf1dAsYGUgEJAkQn4FI+N14EzKDb2sYOi0I8jjbokIKDYIrSAQkCRCdhBsfY66LeAojW/GK2Dne1dHx5vxuBAU0CxxhKyg2LjH1DbsYMiCyj2fq2zHWc7Hz8SI0PZgYxb20EhoDi6vg7JzPvX+o/H+NhLVnxixM9Ho5H/DxHOoNjY1RkUG/s4gyL/FyVnUOQbadGZgICiM69jWgsoBBQCivVfRP0YUOz/HwcjvrNQ7J3lcYOx6+fGehZQPPz92WLjPNxq+J8MxI4dg3Fwdl8MNF4WI8N/mnu9MyhyiaKXZ1AsBxTNPyy2FhbOHIyJf75DQLFOWX2Kx8brvTX/pJhtfTx2jp0ac63FaC38VoyPXpv/IomI/VMCio2g7KDYeBnZQbGxjx0Uhd6GNOqSgIBii9DLAcXI0A0FexqMRuOD7Y8Dm5p5MJqN1xW8LmK29dY4fueZh/+1fk8MDX640LWLS2fE0MBVMTzUjMmD34zBgbcUui5rNL9wTUzseHzMZf8y3PqdaDa/UOja+YXzYmzklTE40Ih9B+6J4aH/UOi6rNHi0n+J8dGT2o8THPxh/se6Hel4MGL3iaPtPz70remIu4pfO/4r2/OIx9DgBwvNc3HpCTE0cHW7Jvv+fjZaf1Hsl4Os88FnjsTxjxqJ7F/rZ1vvjIHmXxe65/zCS2Js5NcP1WTqyzE8+LZC17VrsvifjnrEI2JvoWvnWq+PifFnRXZy/97JL8To8DsKXXeo0f8TYyPDcXBmbzQaryl83Wzrqjh+55MPv04+EUODv1/o2sWlx8XQwG+3a3Jg+r4YaF5e6LqsUWv+6jhu/GfaNckCiqXvF9tF0fipgaMCik5qsrD47tg59uj262Rx6ZJoxEOFxjvXuiQmxs9t1+RH901HfKnY62RprBHjzxk7ElA04lWF7pc1mp27Ko6feHJkvwxPTt8ew4O3FLp2aekxMTBwfYy0a/KdGGheVui6QzV5exw3ftrh18mNMdD8i0LXzi/8YoyNXNQOjfZPfSWGBv99oeuyRguLN8TOsVNitrUQCwtviEbj7wtdOzd/UUyM/VL7sYnsY0ZHh//vQtdljZbi1iMfM9qICwtfNzP372L3xFPaNcl2UCzdM1/s2p2NowKKgealxa5r1+Q/HHUGxeBAfsB1yPU5Rz3iMTT41sL3XFh8Z/uQzNnWYsy1flj4uqxh9nF7WU2yQzJHhq8ufO1S3HLkY0Yj/lXh62bmfuuojxkdHnpvoWuX4oSjPmZ0oPnGQtdljebm3xa7xk9vH1w6PXtLDA78SaFrFxb/WYwMveHwuSBfi6HBqwpdd6ie1x0VUDQb3yx0bWv+14/aQTEy1EFNln4vdoweOoMi4l8Wul/WaGbuLe2P/c0+sWZy6vMxPPS7Ba/dHY3GTYf+rjf9g2g2/6+C162syVJMz/5+DA58otC1C4tPj5Ghyw7V5OC9MTTw7wpdlzWaX7g2Jnb89OHQ6KpoNr5e6NrW/CtjfOy8I7taOqvJTUcOyYx4RaH7ZY1mW5cfdUjmyNC7C167IxqNWw///fuBaDb+z4LXRcy1/n3s2nlGzC8sxb4vTcfSN4u9XzZOasbEM3fE8GD29+9vxODAlYXvOb/wjpjY8bjDNbk6mo17Cl3bmn/5UYdkjgy9vdB1WaPFpRuP+pjRiGLznG1dGrvGnxFb/JCmwuPUMH0BAcUWa9zwatyioMsJECBAgAABAgQIEKizwNImPnq6zvM19vIEBBTl2eqZAAECBAgQIECAAAECBAgQKCggoCgIpRkBAgQIECBAgAABAgQIECBQnoCAojxbPRMgQIAAAQIECBAgQIAAAQIFBQQUBaE0I0CAAAECBAgQIECAAAECBMoTEFCUZ6tnAgQIECBAgAABAgQIECBAoKCAgKIglGb9JXDb7XfE333/gbj0tRccNfG9+ybjdVe8O+659772f7/1PVfEWWc+ob9wzHZdgbvu/npc+IZrj3z/hc89O95+2atidHS4/d9mZubire+8JT71mTvbf7768lfHeS84hyiBIwI3vH9PfOCDnzry59XvMdl701XXfaD9/dXrCyOBlQLZWrrrS1+PG699Y+zeNdH+1sr3qDOeeOpR36NH4NvfvT8uvvxdcf+DP/7Y6pXrxM8wa4QAgW4ICCi6oewetRFY+Ze3V7/yhUcFFMs/mM9+6mntXyqzH+RXXvt7cc0Vr4nHnnJybeZooOUJZL88PvqRP9EOrZbXy0k/ecKRdZT9wpB9ZcHXcth16W9eIOQqryS16jlbE//1w5+O1/36L7dDrdXvMdn70w3v23Pkl8qV66lWEzXY0gWWg66Vv1yuXk/Z+9WdX/zqUSFq6QNzg0oL5P29xs+wSpfP4AgkIyCgSKaUJrKdAmvtoMh+cF//3g/FNW+5qP2vUasDi+28v77SEFj5C8D07Gxc+Y6b482XvOJIoOUXzDTqXNYsVodY2Xp5zKNOOrLrZnVgUdY49FsvgeWfX+c8/fSjAq3VP9fyfhmt16yNdjsENloT2fuRn2HboawPAgTyBAQUeUK+35cCawUUa/0y4BfMvlwehSe9cn2s9Rc//4JZmLIvG2bvOVdec3PcdN2b4uQTH9F+PGh5B1cG4hfMvlwWG0565XvKl7/x7Q133NjFZf2sFlj9iMdGO3Cya/0Ms4YIEChDQEBRhqo+ay+wXkCx55OfO2o7rICi9qUubQKrA63VO3D85a40+tp3vPKXhOUzKJZ3bF3w4mcfeSRIQFH7Um/rBLL3nJU/o9Z6JGjlDhwBxbbyJ9lZ9necB374UPvvPfc/+KOjdpH6GZZkyU2KQCUEBBSVKINBVE3ADoqqVaRe41n5L9/L55PYQVGvGlZhtCt/gTz98Y+1g6IKRanwGFYeoLpymMv/Cp6db5J9LR/+LKCocDErMrSVwfrehyePOXfLDoqKFMowCCQmIKBIrKCmsz0CzqDYHsd+7GWtcCJz8PxuP66Grc955bkTzqDYumc/9bB6B4UzKPqp+tsz15UBRdajMyi2x1UvBAhsLCCgsEIIrCGwVkDhUzwslTyBvEMLnYCeJ9jf389+GfjMHX8Tr/21F7chlh/1uObKi9qPdfgUj/5eH53Ofq3HzFZ+8pR//e5UNP32//1zd8VP/9Qj1z3I2c+w9NeAGRKogoCAogpVMIbKCKz8mNHlQS0/A579eXlL7D333tf+9srvVWYSBtIzgeWP9ls5gJNPPKF9yGH2qIfPkO9ZaWpx49XrY633mJXb+F/43LN9RGQtKtubQa4VmK78GbfyAMTejNBdqyaw+u9Aq99j/AyrWsWMh0CaAgKKNOtqVgQIECBAgAABAgQIECBAoFYCAopalctgCRAgQIAAAQIECBAgQIBAmgICijTralYECBAgQIAAAQIECBAgQKBWAgKKWpXLYAkQIECAAAECBAgQIECAQJoCAoo062pWBAgQIECAAAECBAgQIECgVgICilqVy2AJECBAgAABAgQIECBAgECaAgKKNOtqVgQIECBAgAABAgQIECBAoFYCAopalctgCRAgQIAAAQIECBAgQIBAmgICijTralYECBAgQIAAAQIECBAgQKBWAgKKWpXLYAkQIECAAAECBAgQIECAQJoCAoo062pWBAgQIECAAAECBAgQIECgVgICilqVy2AJECBAgAABAgQIECBAgECaAgKKNOtqVgQIECBAgAABAgQIECBAoFYCAopalctgCRAgQIAAAQIECBAgQIBAmgICijTralYECBAgQIAAAQIECBAgQKBWAgKKWpXLYAkQIECAAAECBAgQIECAQJoCAoo062pWBAgQIECAAAECBAgQIECgVgICilqVy2AJECBAIAWB226/I+784lfj7Ze9KkZHhys/pbqNt/KgBkiAAAECBAisKSCgsDAIECBAgECXBar0C382lj2f/FzceO0bY/euiTUlqjTeLpfK7QgQIECAAIEuCggouojtVgQIECBAIBOo2y/8dRuvVUaAAAECBAjUU0BAUc+6GTUBAgQIVFzg29+9Py6+/F1x/4MPtUd68oknxE3XvSkee8rJRwKKFz33/4hLrrjhmO8vT+2uu78eF77h2iMzvfryV8d5Lzin/ee9+ybjdVe8Oy75jV+OP/7M/4hPfebO9n9f2aYI0Vrhw+qxZ/288Lln1+aRlCLz1oYAAQIECBConoCAono1MSICBAgQqLnAcnhw6W9eEGed+YT2bLKw4Xs/+Id2wJCFAldd94F49StfGJe+9oL29294/5544IcPHQkBsvZXXnPzkVBjuc8LXvzsdh/Lf/7RPz58pM1ysHDNlRcduW8e5eqAYq0+7KDIU/R9AgQIECBAYDsEBBTboagPAgQIECCwQiD7Jf/Ka38vrrniNe0dE6u/1vqFPwskbnjfniNnQWSBRfa1HGBk/3/lddOzs+0dFCtDkOWgY/V1GxVn9Vjy7luHQz0tRgIECBAgQKCeAgKKetbNqAkQIECgwgIzM3Px1nfesu5jF3kBxdjISPv6bLfE8g6MbLpZ8HH9ez8U17zlovbs1wooOt3tsLJ91md237OfetqRR0lWByMCigovPEMjQIAAAQI1FxBQ1LyAhk+AAAEC1RVYL6ioekCxOhjpNPSobkWMjAABAgQIEKiygICiytUxNgIECBBIRmDloxN5AUX2cZ95j1qU8YhHhm0HRTJLzkQIECBAgEDtBAQUtSuZARMgQIBA1QWy8yTu+OsvHzk/YnknxfKjE0UCiqKHZK4+iHPlwZpFnFaPZfVZGMuHZj7l9J/2KR5FQLUhQIAAAQIENi0goNg0nQsJECBAgMDaAsufsHHPvfcdabDyEzuKBBTZhUU+ZnTlPVZ+lGnR2qw1luVPGcn6yD5e9IwnnhrZfd5+2avCGRRFZbUjQIAAAQIEOhUQUHQqpj0BAgQIEKiAwFofZVqBYRkCAQIECBAgQGDTAgKKTdO5kAABAgQI9E4gL6BYuQtivVFeffmrj/q0jt7Nxp0JECBAgAABAhECCquAAAECBAjUUCAvoKjhlAyZAAECBAgQ6HMBAUWfLwDTJ0CAAAECBAgQIECAAAECVRAQUFShCsZAgAABAgQIECBAgAABAgT6XEBA0ecLwPQJECBAgAABAgQIECBAgEAVBAQUVaiCMRAgQIAAAQIECBAgQIAAgT4XEFD0+QIwfQIECBAgQIAAAQIECBAgUAUBAUUVqmAMBAgQIECAAAECBAgQIECgzwUEFH2+AEyfAAECBAgQIECAAAECBAhUQUBAUYUqGAMBAgQIECBAgAABAgQIEOhzAQFFny8A0ydAgAABAgQIECBAgAABAlUQEFBUoQrGQIAAAQIECBAgQIAAAQIE+lxAQNHnC8D0CRAgQIAAAQIECBAgQIBAFQQEFFWogjEQIECAAAECBAgQIECAAIE+FxBQ9PkCMH0CBAgQIECAAAECBAgQIFAFAQFFFapgDAQIECBAgAABAgQIECBAoM8FBBR9vgBMnwABAgQIECBAgAABAgQIVEFAQFGFKhgDAQIECBAgQIAAAQIECBDocwEBRZ8vANMnQIAAAQIECBAgQIAAAQJVEBBQVKEKxkCAAAECBAgQIECAAAECBPpcQEDR5wvA9AkQIECAAAECBAgQIECAQBUEBBRVqIIxECBAgAABAgQIECBAgACBPhcQUPT5AjB9AgQIECBAgAABAgQIECBQBQEBRRWqYAwECBAgQIAAAQIECBAgQKDPBQQUfb4ATJ8AAQIECBAgQIAAAQIECFRBQEBRhSoYAwECBAgQIECAAAECBAgQ6HMBAUWfLwDTJ0CAAAECBAgQIECAAAECVRAQUFShCsZAgAABAgQIECBAgAABAgT6XEBA0ecLwPQJECBAgAABAgQIECBAgEAVBAQUVaiCMRAgQIAAAQIECBAgQIAAgT4XEFD0+QIwfQIECBAgQIAAAQIECBAgUAUBAUUVqmAMBAgQIECAAAECBAgQIECgzwUEFH2+AEyfAAECBAgQIECAAAECBAhUQUBAUYUqGAMBAgQIECBAgAABAgQIEOhzAQFFny8A0ydAgAABAgQIECBAgAABAlUQEFBUoQrGQIAAkponjQAAABVJREFUAQIECBAgQIAAAQIE+lzg/wfKu8iWg1GEEgAAAABJRU5ErkJggg=="},"metadata":{}}]},{"cell_type":"markdown","source":"**For almost all shops T-Shirts is the most sold category**","metadata":{}},{"cell_type":"code","source":"yearDayDF=salesDF.groupby(['year','month'],as_index=False).agg({'item_cnt_day':'sum'})\nfig=px.bar(yearDayDF,x='month',y='item_cnt_day',facet_row='year',title='Total sales for every month across years')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:51.596497Z","iopub.execute_input":"2022-06-02T08:42:51.597068Z","iopub.status.idle":"2022-06-02T08:42:51.867564Z","shell.execute_reply.started":"2022-06-02T08:42:51.597028Z","shell.execute_reply":"2022-06-02T08:42:51.866672Z"},"trusted":true},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"alignmentgroup":"True","hovertemplate":"year=2013
month=%{x}
item_cnt_day=%{y}","legendgroup":"","marker":{"color":"#636efa","pattern":{"shape":""}},"name":"","offsetgroup":"","orientation":"v","showlegend":false,"textposition":"auto","type":"bar","x":[1,2,3,4,5,6,7,8,9,10,11,12],"xaxis":"x3","y":[131478,128090,147141,107190,106970,125381,116965,125291,133329,127540,130008,183341],"yaxis":"y3"},{"alignmentgroup":"True","hovertemplate":"year=2014
month=%{x}
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**2015 has lower sales number compared with 2013 and 2014**","metadata":{}},{"cell_type":"code","source":"yearMonthDayDF=salesDF.groupby(['year','month','date','shop_id'],as_index=False).agg({'item_cnt_day':'sum','DateModified':'min'})\n\nshopStats=OrderedDict()\nn=0\nfor i in yearMonthDayDF['shop_id'].unique():\n mad=yearMonthDayDF[yearMonthDayDF['shop_id']==i]['item_cnt_day'].mad()\n mean=yearMonthDayDF[yearMonthDayDF['shop_id']==i]['item_cnt_day'].mean()\n max=yearMonthDayDF[yearMonthDayDF['shop_id']==i]['item_cnt_day'].max()\n shopStats[n]={'shop_id':i,'mean':mean,'max':max,'mad':mad}\n n+=1\n \nshopStatsDF=pd.DataFrame(shopStats).transpose()\nshopStatsDF['shop_id']=shopStatsDF['shop_id'].astype('str')\ndata=[go.Bar(x=shopStatsDF['shop_id'],y=shopStatsDF[i],name=i)for i in ['mean','mad']]\nlayout=go.Layout(title='Mean sales and Deviation in sales for every shop in the list',\n margin=dict(l=0,r=0,b=0,t=30),\n 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"},"metadata":{}}]},{"cell_type":"markdown","source":"> **Shops with higher sales are predominantly found in Moscow. Atrium Mall in Moscow(Shop id=25) has a good mean sales and lesser mean absolute deviation compared with others.**","metadata":{}},{"cell_type":"markdown","source":"# Categorical Encoding","metadata":{}},{"cell_type":"markdown","source":"We have certain columns which should be encoded like cities,shops and categories. If we apply one hot encoding then there will be numeral columns. If we apply lable encoding the information may not be correctly represented. \n\nSo **let's group the cities and categories based on their sales. For eg Moscow city sells the most number of products. Other cities lag behind. Let's create two categories as moscow and other_cities. Now it will be easy to encode.**","metadata":{}},{"cell_type":"code","source":"dicCity=pd.cut(salesDF.groupby('city').agg({'item_cnt_day':'sum'})['item_cnt_day'],2,labels=['other_cities','moscow'])\nshopsDF['city'].replace(dicCity,inplace=True)\nsalesDF['city'].replace(dicCity,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:55.637578Z","iopub.execute_input":"2022-06-02T08:42:55.638405Z","iopub.status.idle":"2022-06-02T08:42:58.393260Z","shell.execute_reply.started":"2022-06-02T08:42:55.638354Z","shell.execute_reply":"2022-06-02T08:42:58.392504Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"code","source":"dicMainCategory=pd.cut(salesDF.groupby('main_category').agg({'item_cnt_day':'sum'})['item_cnt_day'],3,labels=['low','medium','high'])\nitemsNewDF['main_category'].replace(dicMainCategory,inplace=True)\nsalesDF['main_category'].replace(dicMainCategory,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:42:58.394569Z","iopub.execute_input":"2022-06-02T08:42:58.395257Z","iopub.status.idle":"2022-06-02T08:43:00.299263Z","shell.execute_reply.started":"2022-06-02T08:42:58.395224Z","shell.execute_reply":"2022-06-02T08:43:00.298361Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"code","source":"dicSubCategory=pd.cut(salesDF.groupby('sub_category').agg({'item_cnt_day':'sum'})['item_cnt_day'],2,labels=['medium','high'])\nitemsNewDF['sub_category'].replace(dicSubCategory,inplace=True)\nsalesDF['sub_category'].replace(dicSubCategory,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:00.300419Z","iopub.execute_input":"2022-06-02T08:43:00.300657Z","iopub.status.idle":"2022-06-02T08:43:05.036957Z","shell.execute_reply.started":"2022-06-02T08:43:00.300626Z","shell.execute_reply":"2022-06-02T08:43:05.035956Z"},"trusted":true},"execution_count":30,"outputs":[]},{"cell_type":"code","source":"dicCategory=pd.cut(salesDF.groupby('category').agg({'item_cnt_day':'sum'})['item_cnt_day'],3,labels=['low','medium','high'])\nshopsDF['category'].replace(dicCategory,inplace=True)\nsalesDF['category'].replace(dicCategory,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:05.039028Z","iopub.execute_input":"2022-06-02T08:43:05.039420Z","iopub.status.idle":"2022-06-02T08:43:05.957065Z","shell.execute_reply.started":"2022-06-02T08:43:05.039380Z","shell.execute_reply":"2022-06-02T08:43:05.956286Z"},"trusted":true},"execution_count":31,"outputs":[]},{"cell_type":"code","source":"for col in salesDF.select_dtypes('object').columns:\n le=LabelEncoder()\n salesDF[col]=le.fit_transform(salesDF[col])\n if col in itemsNewDF.columns:\n itemsNewDF[col]=le.fit_transform(itemsNewDF[col])\n elif col in shopsDF.columns:\n shopsDF[col]=le.fit_transform(shopsDF[col])","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:05.958049Z","iopub.execute_input":"2022-06-02T08:43:05.958534Z","iopub.status.idle":"2022-06-02T08:43:08.325080Z","shell.execute_reply.started":"2022-06-02T08:43:05.958494Z","shell.execute_reply":"2022-06-02T08:43:08.323982Z"},"trusted":true},"execution_count":32,"outputs":[]},{"cell_type":"code","source":"salesDF.head()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:08.326557Z","iopub.execute_input":"2022-06-02T08:43:08.327025Z","iopub.status.idle":"2022-06-02T08:43:08.344278Z","shell.execute_reply.started":"2022-06-02T08:43:08.326983Z","shell.execute_reply":"2022-06-02T08:43:08.343459Z"},"trusted":true},"execution_count":33,"outputs":[{"execution_count":33,"output_type":"execute_result","data":{"text/plain":" date date_block_num shop_id item_id item_price item_cnt_day \\\n0 2 0 59 22154 999.0 1.0 \n1 16 4 59 2573 249.0 1.0 \n2 26 0 59 2574 399.0 1.0 \n3 9 0 59 2574 399.0 1.0 \n4 24 1 59 2574 399.0 1.0 \n\n item_category_id main_category sub_category city category DateModified \\\n0 37 0 1 1 0 2013-01-02 \n1 55 2 0 1 0 2013-05-16 \n2 55 2 0 1 0 2013-01-26 \n3 55 2 0 1 0 2013-01-09 \n4 55 2 0 1 0 2013-02-24 \n\n year month \n0 2013 1 \n1 2013 5 \n2 2013 1 \n3 2013 1 \n4 2013 2 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
datedate_block_numshop_iditem_iditem_priceitem_cnt_dayitem_category_idmain_categorysub_categorycitycategoryDateModifiedyearmonth
0205922154999.01.03701102013-01-0220131
1164592573249.01.05520102013-05-1620135
2260592574399.01.05520102013-01-2620131
390592574399.01.05520102013-01-0920131
4241592574399.01.05520102013-02-2420132
\n
"},"metadata":{}}]},{"cell_type":"markdown","source":"# Feature Engineering","metadata":{}},{"cell_type":"markdown","source":"Now we want to make sales forecast for a particular item to be sold in a particular shop for the month of 2015 November. So we are creating a dataframe with all possible combinations of month,shop_id and item_id.","metadata":{}},{"cell_type":"code","source":"cols=['date_block_num', 'shop_id', 'item_id'],\nmatrix=[]\nfor i in range(34):\n dup=salesDF[salesDF['date_block_num']==i]\n matrix.append(np.array(list(product([i],dup['shop_id'].unique(),dup['item_id'].unique())), dtype = np.int16))\n \nmatrix=pd.DataFrame(np.vstack(matrix))\nmatrix.rename(columns={0:'date_block_num',1:'shop_id',2:'item_id'},inplace=True)\n\nmatrix[\"date_block_num\"] = matrix[\"date_block_num\"].astype(np.int8)\nmatrix[\"shop_id\"] = matrix[\"shop_id\"].astype(np.int8)\nmatrix[\"item_id\"] = matrix[\"item_id\"].astype(np.int16)\n\nmatrix.sort_values(by=['date_block_num', 'shop_id', 'item_id'],inplace=True)\nmatrix.reset_index(inplace=True)\nmatrix.drop('index',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:08.345938Z","iopub.execute_input":"2022-06-02T08:43:08.346442Z","iopub.status.idle":"2022-06-02T08:43:30.393713Z","shell.execute_reply.started":"2022-06-02T08:43:08.346404Z","shell.execute_reply":"2022-06-02T08:43:30.392371Z"},"trusted":true},"execution_count":34,"outputs":[]},{"cell_type":"markdown","source":"After creating the dataframe with month,shop_id and item_id we will merge this dataframe with the monthly sales of a item sold in a particular shop calculated from the sales dataframe","metadata":{}},{"cell_type":"code","source":"group=salesDF.groupby([\"date_block_num\", \"shop_id\", \"item_id\"],as_index=False).agg({'item_cnt_day':'sum'})\ngroup.rename(columns={'item_cnt_day':'item_cnt_month'},inplace=True)\nmatrix=pd.merge(matrix,group,on=['date_block_num', 'shop_id', 'item_id'],how='left')\nmatrix['item_cnt_month']=matrix['item_cnt_month'].fillna(0).astype(np.float16)\nmatrix['item_cnt_month']=matrix['item_cnt_month'].clip(0,20)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:30.395767Z","iopub.execute_input":"2022-06-02T08:43:30.396042Z","iopub.status.idle":"2022-06-02T08:43:36.615232Z","shell.execute_reply.started":"2022-06-02T08:43:30.396007Z","shell.execute_reply":"2022-06-02T08:43:36.614305Z"},"trusted":true},"execution_count":35,"outputs":[]},{"cell_type":"code","source":"group=salesDF.groupby(['date_block_num','shop_id','item_id'],as_index=False).agg({'item_price':'sum'})\ngroup.rename(columns={'item_price':'item_price_month'},inplace=True)\nmatrix=pd.merge(matrix,group,on=['date_block_num','shop_id','item_id'],how='left')\nmatrix['item_price_month']=matrix['item_price_month'].fillna(0).astype(np.float16)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:36.617921Z","iopub.execute_input":"2022-06-02T08:43:36.618264Z","iopub.status.idle":"2022-06-02T08:43:42.257869Z","shell.execute_reply.started":"2022-06-02T08:43:36.618232Z","shell.execute_reply":"2022-06-02T08:43:42.256907Z"},"trusted":true},"execution_count":36,"outputs":[]},{"cell_type":"code","source":"matrix.head()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:42.259057Z","iopub.execute_input":"2022-06-02T08:43:42.259291Z","iopub.status.idle":"2022-06-02T08:43:42.272961Z","shell.execute_reply.started":"2022-06-02T08:43:42.259264Z","shell.execute_reply":"2022-06-02T08:43:42.271801Z"},"trusted":true},"execution_count":37,"outputs":[{"execution_count":37,"output_type":"execute_result","data":{"text/plain":" date_block_num shop_id item_id item_cnt_month item_price_month\n0 0 2 19 0.0 0.0\n1 0 2 27 1.0 2500.0\n2 0 2 28 0.0 0.0\n3 0 2 29 0.0 0.0\n4 0 2 32 0.0 0.0","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
date_block_numshop_iditem_iditem_cnt_monthitem_price_month
002190.00.0
102271.02500.0
202280.00.0
302290.00.0
402320.00.0
\n
"},"metadata":{}}]},{"cell_type":"markdown","source":"Lets concat the test dataframe to our matrix dataframe. November 2015 is indicated by date block num 34","metadata":{}},{"cell_type":"code","source":"testDF[\"date_block_num\"] = 34\ntestDF[\"date_block_num\"] = testDF[\"date_block_num\"].astype(np.int8)\ntestDF[\"shop_id\"] = testDF.shop_id.astype(np.int8)\ntestDF[\"item_id\"] = testDF.item_id.astype(np.int16)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:42.274829Z","iopub.execute_input":"2022-06-02T08:43:42.275411Z","iopub.status.idle":"2022-06-02T08:43:42.292549Z","shell.execute_reply.started":"2022-06-02T08:43:42.275378Z","shell.execute_reply":"2022-06-02T08:43:42.291790Z"},"trusted":true},"execution_count":38,"outputs":[]},{"cell_type":"code","source":"matrix=pd.concat([matrix,testDF.drop('ID',axis=1)],ignore_index=True,sort=False,keys=['date_block_num', 'shop_id', 'item_id'])\nmatrix.fillna(0,inplace=True)\n\nmatrix=pd.merge(matrix,itemsNewDF[['item_id','item_category_id','main_category','sub_category']],on='item_id',how='left')\nmatrix=pd.merge(matrix,shopsDF[['shop_id','city','category']],on='shop_id',how='left')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:42.293842Z","iopub.execute_input":"2022-06-02T08:43:42.294585Z","iopub.status.idle":"2022-06-02T08:43:45.302912Z","shell.execute_reply.started":"2022-06-02T08:43:42.294546Z","shell.execute_reply":"2022-06-02T08:43:45.302064Z"},"trusted":true},"execution_count":39,"outputs":[]},{"cell_type":"code","source":"matrix.head()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:45.304104Z","iopub.execute_input":"2022-06-02T08:43:45.304339Z","iopub.status.idle":"2022-06-02T08:43:45.317154Z","shell.execute_reply.started":"2022-06-02T08:43:45.304312Z","shell.execute_reply":"2022-06-02T08:43:45.316484Z"},"trusted":true},"execution_count":40,"outputs":[{"execution_count":40,"output_type":"execute_result","data":{"text/plain":" date_block_num shop_id item_id item_cnt_month item_price_month \\\n0 0 2 19 0.0 0.0 \n1 0 2 27 1.0 2500.0 \n2 0 2 28 0.0 0.0 \n3 0 2 29 0.0 0.0 \n4 0 2 32 0.0 0.0 \n\n item_category_id main_category sub_category city category \n0 40 0 0 1 0 \n1 19 0 1 1 0 \n2 30 0 0 1 0 \n3 23 0 1 1 0 \n4 40 0 0 1 0 ","text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
date_block_numshop_iditem_iditem_cnt_monthitem_price_monthitem_category_idmain_categorysub_categorycitycategory
002190.00.0400010
102271.02500.0190110
202280.00.0300010
302290.00.0230110
402320.00.0400010
\n
"},"metadata":{}}]},{"cell_type":"code","source":"import gc\ndel [salesDF,itemsDF,itemsCategoriesDF,itemsNewDF,shopsDF]\ngc.collect()","metadata":{"execution":{"iopub.status.busy":"2022-06-01T12:15:33.454213Z","iopub.status.idle":"2022-06-01T12:15:33.454548Z","shell.execute_reply.started":"2022-06-01T12:15:33.454374Z","shell.execute_reply":"2022-06-01T12:15:33.454395Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Now we will create the **lag columns**\n\n**item_cnt_month_lag_1** indicates the **no of items sold in that particular shop in the previous month** and similary\n\n**item_cnt_month_lag_12** indicates the **no of items sold in that particular shop 12 months before**","metadata":{}},{"cell_type":"code","source":"df=matrix\nfor col in ['item_cnt_month']:\n tmp = df[[\"date_block_num\", \"shop_id\",\"item_id\",col ]]\n for i in [1,2,3,12]:\n shifted = tmp.copy()\n shifted.columns = [\"date_block_num\", \"shop_id\", \"item_id\", col + \"_lag_\"+str(i)]\n shifted.date_block_num = shifted.date_block_num + i\n df = pd.merge(df, shifted, on=['date_block_num','shop_id','item_id'], how='left')\n\nmatrix=df","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:43:45.318401Z","iopub.execute_input":"2022-06-02T08:43:45.318825Z","iopub.status.idle":"2022-06-02T08:44:18.663406Z","shell.execute_reply.started":"2022-06-02T08:43:45.318748Z","shell.execute_reply":"2022-06-02T08:44:18.662273Z"},"trusted":true},"execution_count":41,"outputs":[]},{"cell_type":"code","source":"group=matrix.groupby(['date_block_num'],as_index=False).agg({'item_cnt_month':'mean'}).rename(columns={'item_cnt_month':'avg_item_cnt_month'})\nmatrix = pd.merge(matrix, group, on = [\"date_block_num\"], how = \"left\")\nmatrix['avg_item_cnt_month']=matrix['avg_item_cnt_month'].astype(np.float16)\n\ndf=matrix[['date_block_num','shop_id','item_id','avg_item_cnt_month']]\nshifted=df.copy()\nshifted.columns=['date_block_num','shop_id','item_id','prev_month_avg_item_cnt']\nshifted['date_block_num']=shifted['date_block_num']+1\n\nmatrix=pd.merge(matrix,shifted,on=['date_block_num','shop_id','item_id'],how='left')\nmatrix.drop('avg_item_cnt_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:44:18.664838Z","iopub.execute_input":"2022-06-02T08:44:18.665083Z","iopub.status.idle":"2022-06-02T08:44:30.336378Z","shell.execute_reply.started":"2022-06-02T08:44:18.665053Z","shell.execute_reply":"2022-06-02T08:44:30.335157Z"},"trusted":true},"execution_count":42,"outputs":[]},{"cell_type":"code","source":"group=matrix.groupby(['date_block_num','shop_id'],as_index=False).agg({'item_cnt_month':'mean'}).rename(columns={'item_cnt_month':'shop_avg_cnt_month'})\ngroup['shop_avg_cnt_month']=group['shop_avg_cnt_month'].astype(np.float16)\nmatrix=pd.merge(matrix,group,on=['date_block_num','shop_id'],how='left')\n\ndf=matrix\n\ntmp=df[['date_block_num', 'shop_id','item_id','shop_avg_cnt_month']]\n\nfor i in [1,2,3,12]:\n shifted=tmp.copy()\n shifted.columns=['date_block_num','shop_id','item_id','shop_avg_cnt_month_'+'_lag_'+str(i)]\n shifted['date_block_num']=shifted['date_block_num']+i\n df=pd.merge(df,shifted,on=['date_block_num','shop_id','item_id'],how='left')\n \nmatrix=df\nmatrix.drop('shop_avg_cnt_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:44:30.337732Z","iopub.execute_input":"2022-06-02T08:44:30.337982Z","iopub.status.idle":"2022-06-02T08:45:09.032814Z","shell.execute_reply.started":"2022-06-02T08:44:30.337952Z","shell.execute_reply":"2022-06-02T08:45:09.031956Z"},"trusted":true},"execution_count":43,"outputs":[]},{"cell_type":"code","source":"group=matrix.groupby(['date_block_num','item_id'],as_index=False).agg({'item_cnt_month':'mean'}).rename(columns={'item_cnt_month':'item_avg_cnt_month'})\ngroup['item_avg_cnt_month']=group['item_avg_cnt_month'].astype(np.float16)\nmatrix=pd.merge(matrix,group,on=['date_block_num','item_id'],how='left')\n\ndf=matrix\n\ntmp=df[['date_block_num', 'shop_id','item_id','item_avg_cnt_month']]\nfor i in [1,2,3,12]:\n shifted=tmp.copy()\n shifted.columns=['date_block_num','shop_id','item_id','item_avg_cnt_month_'+'_lag_'+str(i)]\n shifted['date_block_num']=shifted['date_block_num']+i\n df=pd.merge(df,shifted,on=['date_block_num','shop_id','item_id'],how='left')\n \nmatrix=df\nmatrix.drop('item_avg_cnt_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:45:09.036482Z","iopub.execute_input":"2022-06-02T08:45:09.036750Z","iopub.status.idle":"2022-06-02T08:45:50.264069Z","shell.execute_reply.started":"2022-06-02T08:45:09.036721Z","shell.execute_reply":"2022-06-02T08:45:50.263070Z"},"trusted":true},"execution_count":44,"outputs":[]},{"cell_type":"code","source":"import gc\ndel [group,tmp,shifted,df,dup]\ngc.collect()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:45:50.265317Z","iopub.execute_input":"2022-06-02T08:45:50.265572Z","iopub.status.idle":"2022-06-02T08:45:50.669254Z","shell.execute_reply.started":"2022-06-02T08:45:50.265540Z","shell.execute_reply":"2022-06-02T08:45:50.668650Z"},"trusted":true},"execution_count":45,"outputs":[{"execution_count":45,"output_type":"execute_result","data":{"text/plain":"2678"},"metadata":{}}]},{"cell_type":"code","source":"group=matrix.groupby(['date_block_num','main_category'],as_index=False).agg({'item_cnt_month':'mean'}).rename(columns={'item_cnt_month':'item_category_avg_cnt_month'})\ngroup['item_category_avg_cnt_month']=group['item_category_avg_cnt_month'].astype(np.float16)\nmatrix=pd.merge(matrix,group,on=['date_block_num','main_category'],how='left')\n\ndf=matrix\nfor col in ['item_category_avg_cnt_month']:\n tmp=df[['date_block_num','shop_id','item_id',col]]\n for i in [1,2,12]:\n shifted=tmp.copy()\n shifted.columns=['date_block_num','shop_id','item_id',col+'_lag_'+str(i)]\n shifted['date_block_num']=shifted['date_block_num']+i\n df=pd.merge(df,shifted,on=['date_block_num','shop_id','item_id'],how='left')\n \nmatrix=df\nmatrix.drop('item_category_avg_cnt_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:45:50.670264Z","iopub.execute_input":"2022-06-02T08:45:50.670583Z","iopub.status.idle":"2022-06-02T08:46:24.542056Z","shell.execute_reply.started":"2022-06-02T08:45:50.670555Z","shell.execute_reply":"2022-06-02T08:46:24.540470Z"},"trusted":true},"execution_count":46,"outputs":[]},{"cell_type":"code","source":"group=matrix.groupby(['date_block_num','item_id','main_category','sub_category'],as_index=False).agg({'item_cnt_month':'mean'}).rename(columns={'item_cnt_month':'item_categories_avg_cnt_month'})\ngroup['item_categories_avg_cnt_month']=group['item_categories_avg_cnt_month'].astype(np.float16)\nmatrix=pd.merge(matrix,group,on=['date_block_num','item_id','main_category','sub_category'],how='left')\n\ndf=matrix\nfor col in ['item_categories_avg_cnt_month']:\n tmp=df[['date_block_num','shop_id','item_id',col]]\n for i in [1,2,3,12]:\n shifted=tmp.copy()\n shifted.columns=['date_block_num','shop_id','item_id',col+'_lag_'+str(i)]\n shifted['date_block_num']=shifted['date_block_num']+i\n df=pd.merge(df,shifted,on=['date_block_num','shop_id','item_id'],how='left')\n \nmatrix=df\nmatrix.drop('item_categories_avg_cnt_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:46:24.544092Z","iopub.execute_input":"2022-06-02T08:46:24.544510Z","iopub.status.idle":"2022-06-02T08:47:10.237892Z","shell.execute_reply.started":"2022-06-02T08:46:24.544460Z","shell.execute_reply":"2022-06-02T08:47:10.236557Z"},"trusted":true},"execution_count":47,"outputs":[]},{"cell_type":"code","source":"del [group,tmp,shifted,df]\ngc.collect()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:10.239760Z","iopub.execute_input":"2022-06-02T08:47:10.240084Z","iopub.status.idle":"2022-06-02T08:47:10.521723Z","shell.execute_reply.started":"2022-06-02T08:47:10.240041Z","shell.execute_reply":"2022-06-02T08:47:10.520468Z"},"trusted":true},"execution_count":48,"outputs":[{"execution_count":48,"output_type":"execute_result","data":{"text/plain":"46"},"metadata":{}}]},{"cell_type":"markdown","source":"Since mostly the lag count for the first three months would be null, lets remove the information pertaining to those months from the dataframe.","metadata":{}},{"cell_type":"markdown","source":"# Preparing the data for modelling","metadata":{}},{"cell_type":"code","source":"matrix=matrix[matrix['date_block_num']>3]","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:10.523488Z","iopub.execute_input":"2022-06-02T08:47:10.524385Z","iopub.status.idle":"2022-06-02T08:47:11.863892Z","shell.execute_reply.started":"2022-06-02T08:47:10.524340Z","shell.execute_reply":"2022-06-02T08:47:11.863148Z"},"trusted":true},"execution_count":49,"outputs":[]},{"cell_type":"code","source":"##Filling nan's with zero\nfor col in matrix.columns:\n if ('lag' in col) & (matrix[col].isnull().any()):\n matrix[col].fillna(0,inplace=True)\n \nmatrix['prev_month_avg_item_cnt'].fillna(0,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:11.866566Z","iopub.execute_input":"2022-06-02T08:47:11.866797Z","iopub.status.idle":"2022-06-02T08:47:13.943721Z","shell.execute_reply.started":"2022-06-02T08:47:11.866769Z","shell.execute_reply":"2022-06-02T08:47:13.943049Z"},"trusted":true},"execution_count":50,"outputs":[]},{"cell_type":"markdown","source":"After building the model and finding feature importance this 'item_price_month' was the most important feature. But this was causing overfitting problems and hence this column has been removed.","metadata":{}},{"cell_type":"code","source":"matrix.drop('item_price_month',axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:13.944697Z","iopub.execute_input":"2022-06-02T08:47:13.945434Z","iopub.status.idle":"2022-06-02T08:47:14.838031Z","shell.execute_reply.started":"2022-06-02T08:47:13.945394Z","shell.execute_reply":"2022-06-02T08:47:14.837281Z"},"trusted":true},"execution_count":51,"outputs":[]},{"cell_type":"code","source":"x_train = matrix[matrix['date_block_num'] < 33].drop(['item_cnt_month'], axis=1)\ny_train = matrix[matrix['date_block_num'] < 33]['item_cnt_month']\nx_cv = matrix[(matrix['date_block_num'] == 33)].drop(['item_cnt_month'], axis=1)\ny_cv = matrix[(matrix['date_block_num'] == 33)]['item_cnt_month']\nx_test = matrix[matrix['date_block_num'] == 34].drop(['item_cnt_month'], axis=1)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:14.839097Z","iopub.execute_input":"2022-06-02T08:47:14.839832Z","iopub.status.idle":"2022-06-02T08:47:18.119016Z","shell.execute_reply.started":"2022-06-02T08:47:14.839798Z","shell.execute_reply":"2022-06-02T08:47:18.118314Z"},"trusted":true},"execution_count":52,"outputs":[]},{"cell_type":"markdown","source":"Since we have a large dataframe lets randomly select 30,000 samples from each month for building our baseline model.","metadata":{}},{"cell_type":"code","source":"df2=matrix\ndf2=df2.drop(df2.index[0:],axis=0) ## We are duplicating the matrix and removing the rows and appending samples for each month\nfor i in x_train['date_block_num'].unique():\n sampleDF=matrix[matrix['date_block_num']==i].sample(n=30000,replace=False)\n df2=df2.append(sampleDF,ignore_index=True)\n \ndf2=df2.sample(frac=1)\ndf2.reset_index(inplace=True)\ndf2.drop('index',axis=1,inplace=True)\nx_train_baseline=df2.drop('item_cnt_month',axis=1)\ny_train_baseline=df2['item_cnt_month']","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:47:18.120098Z","iopub.execute_input":"2022-06-02T08:47:18.120948Z","iopub.status.idle":"2022-06-02T08:47:23.100598Z","shell.execute_reply.started":"2022-06-02T08:47:18.120903Z","shell.execute_reply":"2022-06-02T08:47:23.099668Z"},"trusted":true},"execution_count":53,"outputs":[]},{"cell_type":"markdown","source":"# LGBM","metadata":{}},{"cell_type":"markdown","source":"Initially we fit a simple model to our resampled data and make predictions. \n\nThen we calculate the feature importance and consider the top 20 features for making predictions in our tuned model.","metadata":{}},{"cell_type":"code","source":"lgbmBaseline=lgb.LGBMRegressor(objective='regression',\n boosting_type='gbdt',\n n_estimators=500)\nlgbmBaseline.fit(x_train_baseline,y_train_baseline)\nlgbmBaselinePred=lgbmBaseline.predict(x_cv)\nprint(mean_squared_error(lgbmBaselinePred,y_cv))\n#predLgbmTestBaseline=lgbmBaseline.predict(x_test)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:51:37.763226Z","iopub.execute_input":"2022-06-02T08:51:37.764112Z","iopub.status.idle":"2022-06-02T08:51:56.045014Z","shell.execute_reply.started":"2022-06-02T08:51:37.764057Z","shell.execute_reply":"2022-06-02T08:51:56.043801Z"},"trusted":true},"execution_count":54,"outputs":[{"name":"stdout","text":"0.8651736983635989\n","output_type":"stream"}]},{"cell_type":"code","source":"featureImportanceLgbmDF=pd.DataFrame(sorted(zip(lgbmBaseline.feature_importances_,x_train_baseline.columns)),columns=['values','features'])\nfeaturesLgbm=list(featureImportanceLgbmDF[featureImportanceLgbmDF['values']>featureImportanceLgbmDF['values'].median()]['features'].values) ##selecting features above mean lgbm feature score\nsns.barplot(y='features',x='values',data=featureImportanceLgbmDF[-20:])\n#featuresLgbm=featureImportanceLgbmDF['features'][-15:].values","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:51:56.046653Z","iopub.execute_input":"2022-06-02T08:51:56.046900Z","iopub.status.idle":"2022-06-02T08:51:56.519625Z","shell.execute_reply.started":"2022-06-02T08:51:56.046869Z","shell.execute_reply":"2022-06-02T08:51:56.517830Z"},"trusted":true},"execution_count":55,"outputs":[{"execution_count":55,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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4e0aNFCrXEKgiAImiUWVbxAnpcO6FBxJ2wvLy/at29PTExMhYVSqT/++EO6W01fX5/PPvsMf39/9u3bx6VLl0hISADA29ubjh07IpfL2b59O35+fly6dEnaT15eHmFhYYSEhODv709OTk655wrg/Pnz+Pv7c+DAAQoLC5HL5Wqf/4q6pl+8eJGtW7cSGhrK3r17a9Q24GnR0dG0adNGFEqCIAj1SMwsveDqowN66b6q2wm71JtvvikVAV26dKFVq1ZSm4HOnTtz/fp1+vTpQ0JCAgsWLACgefPm2NjYkJiYKOWulXYSf+211yp9T3379pWO0aNHD2m2Sh0VdU1PSkrCxsZG6sg+cuTIKhVhFUlKSmL9+vV8/fXXNd6XIAiCUH2iWHrB1UcHdKhZJ2xNj60qr3v6uep24K6sa7qmnT17ls8//5ygoCBxx6IgCEI9E5fhXjDPQwd0VYyMjDTavRtKOnjv2bMHgIyMDE6cOKFWsOzT56omVHVNt7a2Jj4+ngcPHgBIXdKr69y5c8yZM4cNGzbQrVu3Gu1LEARBqDkxs/SCeR46oKtiYWGBubk5jo6OtGvXrtJ1S+pYvHgxXl5eODk5ATB37lw6duxY6euePlc1oapreufOnfnoo49wd3fHyMiId955R2X3boDTp0/j4eEhxeHs27ePVatW0a9fP5YvX05eXh5eXl7S89euXVtp53RBEAShdrwUfZYEob492cE7MDCQ69evSwvA69KL0sFbNKUUBOF58o/osyQI9c3f358zZ85QUFBA69atX/iGqLVNFEqCILxIxH+xhFrtgP4idFffuHEjP/zwwzPbv/76a7UbgJaX53fhwgXpLr4njRs37plmo8L/KS7MR0tHr/InCoIg1BFxGU5Nzs7OhIWFoa+v/0yMxj9VYmIiBQUF9O3bt17HkZWVRVhYWJlcvvHjxzN58mRsbW1rtG9N7edpaWlpzJ07l7/++ou2bduW6fR9+PBhgoKCyM/PR6lUMmLECCZPnqzWfkunkoMntsOs0YtZcHT+JKa+hyAIwj9MZZfhxN1waoqJiZHiJkJCQrh//349j6j+JSUl8fPPP9f3MMjKymLbtm31PYwqMTAwYPbs2eUuPDc1NWXz5s3ExcURGhrK7t27pcXkgiAIQt0Tl+HUVF+RI8nJySxfvpzc3FweP36Mm5sbEydO5Pbt24waNYrjx4+jq6sLwKxZs7C1tcXFxaXK8RvZ2dn4+Phw/vx5ZDIZVlZWeHl5ERgYyNWrV8nOzi4TEZKamkpoaCjFxcWcPHmSoUOHMm3atHL3XZVzcO7cOVatWsWjR48wMDBg0aJF9OjRg5s3bzJixAjc3d05ceIEubm5rFq1CisrK1asWEF2djbOzs40bNhQuq0/KSmJ4OBg0tPTGTx4cI37IsnlckJCQigoKABg/vz5Un+r06dPs3z5cgB69erFkSNH2Lp1q9Q482nGxsZYWVmV+5n07NmzzPPat2/PrVu3sLKyqtH4BUEQhOoRxVIVTZ8+nfDwcDZs2CD9IQwKCpIiRwC++OILgoODmTNnDlASOfLf//6XoqIi7OzsyM7OZufOnWRkZDBo0CBGjhxZYap9q1at2LFjB3p6euTk5DBq1Cj69etH+/bt6dixI/Hx8djb25OZmUliYiJr1qyR4jdiYmJo2rQp3t7elb4vHx8fDAwMiImJQUtLS+oZBCURIRERERgbGzNlyhTkcjlubm64u7vz6NEj5s+fX+n+1TkHurq6zJo1i9WrV9O7d29OnjzJrFmzOHToEAAPHz7E0tKSOXPmEBsbi5+fH6GhoXh5eTFixAhiYspevrlz5w67du0iJycHBwcHRo4cyeuvv17pWCvSt29fHB0dkclk/P3330ycOJH4+Hjy8/Px8PAgICAAKysrfvjhB7799ttqH+dJV65c4bfffpMKMUEQBKHuiWJJA2ozciQvL49ly5aRnJyMTCYjPT2dixcv0r59e1xcXIiKisLe3p64uDjs7OwwMDCoVvzGsWPHiIyMlLLfSl8LNYsIqco5KCwsRFdXV5qt6dOnD7q6uly9ehVDQ0MMDAyktUOWlpb4+vqqPOagQYPQ0tKSZmdSU1NrVCzduHGDzz77jLS0NHR0dLh37x4ZGRncv38ffX19aeZnwIAB0vmqifT0dGbMmMHSpUsxMzOr8f4EQRCE6hHFkgbUZuRIQEAApqamrFmzBh0dHSZPnixFdAwcOJDVq1eTmZlJVFQUCxcu1NA7Uj1+dSNCVO2jOtEmVY1Y0VS0SykPDw8WLFiAg4MDxcXF9OzZs1rnQh33799n0qRJfPTRRwwePLhWjiEIgiCoRyzwroa6jBzJzs6mRYsW6OjocOnSpTILfRs2bIi9vT0BAQEoFAppZqM68Ru2trZs376d0psjn7wMVxEjIyONxYlAyYxTQUEBp06dAiAhIYHCwkLMzc0rHUdeXl618umqIjs7W7pLYu/eveTn5wPQrl07cnNz+fXXX4GSu9mysrKqfZzMzEwmTZrE2LFjRYsBQRCE54CYWaqGuowcmT59OvPmzSMiIgJzc3PefvvtMo+7uLgwduxYZs+eLW2rTvyGp6cnPj4+ODo6oq2tjbW1NYsXL1b5GgcHB6Kjo3F2dla5wFtdenp6bNiwocwC7/Xr15eZUSqPiYkJTk5OODk50bhx4zK5bZrk6enJjBkzaNy4Mf369cPExEQat7+/P8uWLQNKitVmzZqpPOdFRUXY2tqSn5+PQqGgf//+jBo1iv/85z8EBwdz7do1wsLCCAsLA0q+cyNGjFB7rO3Hf/Vcd/BWRfRZEgTheSP6LL2knpf4jX+KJ8/3qVOn8PT05MiRI9IasLryosSdCIIgPE9E3Mk/lIjfqFuHDh1ix44dKJVK9PT08PPzq/NCSRAEQagdolh6Tmg6FqSu4zdelGiPjz/+mDt37pTZduXKlXIvmXp4eGBjY6PWfl1dXXF1dS13+/Me9/IiKSrMR1tcohMEoY6Jy3DVkJiYiK+vb5mIin+a8iJG6ktkZCT/+te/pIXgkZGRHD9+nA0bNtR4v5rYT3l8fX35/vvvuXXrFnK5XOrZlZmZybx580hNTUVPT4+2bduyYsWKMq0cVCmdSl41tS2vNNbV+Ljr23tT99X3EARBeAmJuBOhVjxPESNRUVFcu3atvodRJfb29uzatYtWrVqV2S6Tyfjoo4/4/vvvkcvltG7dWqw1EwRBqGfiMlwlcnNzmT9/PpcvX0ZHRwdzc3PGjBlDUVERXl5enD17FplMxrp166RLOcHBwcTGxgLwxhtvsHjxYgwNDQkMDOTy5ctkZmaSnp5Ox44d8fHxUXnX1GeffcbVq1cpKCigTZs2+Pj40LhxYyZOnMi4ceNwcHAASppKfv3113z77bdcvnwZT09PcnNz6dy5M6mpqUyfPl1lGGxERAQhISEA6OrqsnXrVvLy8qocMfK0xMREVq1aRY8ePfj999/R0dFh7dq1bNy4kZSUFFq2bElgYCAGBgbk5OTg7e3NH3/8AZSEF5fOXI0fP57u3bvz22+/lYkv2bt3L+fPn8fb25svv/xS6iauUCj49NNPSUlJwdjYmMDAQExNTavy0ZeRkZGBh4cHOTk5PH78GBsbG+bNmweUtBRYuHAhKSkpmJmZYWZmRrNmzVR2Nq8ousTExIRevXpJP1taWrJ79+5qj1sQBEGoOTGzVImffvqJnJwc9u/fT2xsrLTW5PLly7i7uyOXyxk8eDBBQUEAnDhxgtjYWEJDQ5HL5RQVFUmPAfz6668EBARw8OBBjIyMyjxWnkWLFhEZGYlcLqdDhw589dVXQEnLgOjoaOl5kZGR0q3l8+bNY9y4ccTFxTFhwgSp+KhIYmIiW7duZfv27cTGxkqZcvB/ESPR0dF88skn0iyHl5cXxsbGxMTEVHqr/pUrVxg7dixyuRxLS0umTJmCp6cn+/fvR0tLi337Si6tBAUFUVxcjFwuJzQ0lOjoaE6cOCHtpzS+JDo6mvDwcK5du8aIESPo3r07ixcvJiYmhj59+gDwxx9/MH/+fPbt20eHDh3YuXOnyjFWplGjRmzZsoXIyEiio6M5f/488fHxAGzatIlGjRpx8OBB1q9fr7HQ2+LiYnbv3o2dnZ1G9icIgiBUjyiWKtG5c2euXLnC8uXLOXDgQJnIjq5duwIl//q/ceMGUNJIcciQIRgZGSGTyXBzcyMhIUHa33vvvccrr7wClMSQlDZgrEhMTAyurq44OTkRFxfHhQsXgJLu3adPnyYzM5PMzEySkpIYOHAgCoWCS5cu4eTkBJTMbFlYWKg8xvHjx3F2dpZmXgwNDaXu109HjJS+z6owNzenS5cuAHTt2pUuXbrQokULALp168b169eBknM3atQoZDIZRkZGDB06tMy5Ky++pCJvvvkmLVu2BEoWVFcnouVJRUVFrF27lmHDhuHq6kpKSgoXL14ESorN0sXdJiYm0mxfTa1cuRIDAwPGjRunkf0JgiAI1SOKpUq0bt2auLg43n33XRISEnB2dubx48dVjt6ojtOnT7N79262bduGXC7n008/lbpGl3bvjouLIy4uDnt7ewwMDKTXymQyjYxBE+/zyX1UN+oEqhZfoumok2+++YasrCzCw8ORy+U4ODjUWtQJlCwAv379Ol9++aVoQSAIglDPxH+FK3H37l20tbVxcHDA09OTBw8e8L///a/C5/fu3ZsDBw6gUChQKpVERERIl4agZBanNEokMjKSd955p8J9ZWVlYWRkhImJCfn5+ezdu7fM46VBulFRUdLMhpGRER07diQuLg6AP//8k0uXLql8j++99x4xMTHcu3cPQFqXo0ptRIz07t2bvXv3olQqUSgU7N+/v8y5q8jT8TO1ITs7G1NTUxo0aEBaWhpHjhyRHrO2tiYmJgYo+cyefKw6AgICOH/+PJs2baq0e7kgCIJQ+8QC70okJyfj7+8PlKwhmTZtGs2bN6/w+TY2NiQnJ+Pu7g5A9+7dmT59uvS4lZUVc+bMIS0tjQ4dOpTbm6hUv379iI2N5f3336dJkyZYWVmVWX9kZWWFQqGQ/n8pX19fFi5cSHBwMJ06daJTp04qF5H36tWLadOmMWnSJGQyGXp6emzZskXleamNiJEZM2awcuVK6RLisGHD6N+/f6WvGz16NGvWrGH79u0qF1XXxPjx45k9ezaOjo6YmZmVCU3+5JNP8PT0ZNCgQZiamtK9e3epm3dFvL29OXToEPfu3WPSpEmYmJiwb98+UlJS2Lp1K6+//rr0HXrttdfYtGlTlcb7jvvXL2UHb9FnSRCE+iD6LNWhwMBAHj16VGt/0Evl5ORgYGCATCbj8uXLjB8/noMHD9K4ceNaPe4/VUFBAcXFxTRo0ACFQsEHH3yAp6enWrNimibiTgRBEKpOxJ38A509e5a1a9dSWgevXLlSFEq1KCsri6lTp1JUVMTjx49xdHSsl0JJqFtilksQ/jnEzNJzYOPGjfzwww/PbP/6669p1qyZxo5TXtRHy5YtK73kVt/71pTw8PByWwikpKTQsWPHMts0EUlSV5/rk0r/dTT349doYvLydfB+noycdLC+hyAIgoZUNrMkiqUXnLOzM2FhYejr67Njxw6cnJxq7Q9xTd28eZOff/6Z0aNH1/dQnjlX1blEamFhwZkzZzA0NNTo2Pbu3cuOHTvQ0tKiuLiYUaNG8eGHH6r1WlEs1R1RLAnCy0PEnbzkYmJi0NfXByAkJIT79+/X84gqduvWLcLCwup7GMDzfa7ef/99YmNjiYmJYffu3XzzzTdSTydBEASh7ok1Sy+40tmNkJAQ0tPTmTVrFg0aNMDf3582bdqwbt06fvnlF/Lz87GwsGDZsmUYGhqyYMEC9PT0uHbtGjdu3GDAgAHY2toSGBjI3bt3mTBhAhMmTFB57K1btxIXF4dMJsPAwIDvvvuOX375BR8fH3r27PlMFMyKFSu4efMmzs7OtG3btsKA2sjISOLi4jA2NiY5ORkzMzOWLFmCr68vqampdO/eHT8/P2QyGffu3WPp0qVS08kpU6YwfPhwAOzs7HB2dubkyZNkZGQwefJkxo0bx+bNm585VwBpaWlMnTqVGzdu0KZNG9avX0/Dhg3V+hx8fX1JSkqioKCAJk2a4OPjI+W+7dy5U+qKbmNjw65du0hMTKxwX0/eSZeXl0dBQYHG+mYJgiAIVSdmll4S06dPp3nz5mzYsIGYmBg6dOjAtm3bMDY2JiIigtjYWJo3b05wcLD0mpSUFLZt28b+/fuRy+XExsayc+dOdu/ezZdffklOTk6Fx4uKiuLo0aPs3r2b2NhYNm/eLDVPrCgKxsvLi/bt2xMTE1NhoVTqjz/+wNPTk4MHD6Kvr89nn32Gv78/+/bt49KlS1Jnb29vbzp27IhcLmf79u34+fmV6SuVl5dHWFgYISEh+Pv7k5OTU+65Ajh//jz+/v4cOHCAwsJC5HK52ud/6tSp7N27l9jYWBwdHaVYmIsXL7J161ZCQ0PZu3cvWVlZau3vyJEjDB06FFtbWz766KNKu7ALgiAItUfMLL3Ejh49ikKh4PvvvwcgPz+fzp07S487ODiUiW+xsbFBS0sLMzMzGjVqxN27d6Vw4KcdO3aMDz74QJoFadKkifTY01Ewx44dq/LY33zzTSkSpUuXLrRq1YpGjRoBJRE0169fp0+fPiQkJEi9qpo3b46NjQ2JiYl06tQJgCFDhgAlvYoqe099+/aVjtGjR48qRaTEx8fz3Xff8ejRozKNOpOSkrCxsaFp06ZAScSNOkWYvb099vb23L59m08++YT+/fvTrl07tccjCIIgaI4oll5iSqWSpUuXlmmg+KSnI0E0FRGiiYgUTY2tJhEp6saZ3Lp1i9WrVxMREUHr1q05c+YMc+fOVeu1lXn11Vd54403OH78uCiWBEEQ6om4DPcSeTr2w87Ojh07dpCXlweAQqHgypUrGjmWra0tu3fvljqIZ2ZmVvoaIyMj6fma0rt3b/bs2QNARkYGJ06cUBkhU0qTESkKhQJdXV1MTU0pLi4u083c2tqa+Ph4KeImKiqq0v09+Rk9ePCgzEyZIAiCUPfEzNJL5MMPP2ThwoXo6+vj7+/PtGnT2LhxIyNHjkQmkyGTyZg5c2aFl6GqYvjw4aSlpTF69Gh0dHQwMDBg165dKl9jYWGBubk5jo6OtGvXrtJ1S+pYvHgxXl5eUkTK3Llzn+mZVJ6nz1VNWFhYMGjQIIYMGUKTJk2wsbHh9OnTQMklw48++gh3d3eMjIx45513VEbPAISFhfHzzz+jo6ODUqlk3Lhx9O3bt0pjGjzqv6KDdy0TTSkF4Z9D9FkShFqmUCiktV2BgYFcv35dWgCuaSLuRBAEoepE3Ikg1DN/f3/OnDlDQUEBrVu3rnFncOH5V1iUj462mHUShJeFKJYElVxdXZ9ZFK2JKJDa3remaCKyZOnSpc9su3DhgnQX35PGjRvHqFGjqj7Qp3wX9SGNRQfvevPv8d/X9xAEQdCger8M9yLFdSQmJlJQUFDl9SPC/wkMDOTf//53mTvm6sPhw4dp3rw5PXr0AEo+W19fXyIjI9Xex/jx45k8eTK2trYaH1tQUBD5+fkolUpGjBjB5MmT1Xpt6VTylJmtRLFUj0SxJAgvluc+7uRFiutISkri559/rrPjFRcX87ItKdu4cSMFBQX1PQwOHz7MuXPn6nsY5TI1NWXz5s3ExcURGhrK7t27pQXjgiAIQt2r98twz1tcx/379/Hw8CAnJ4fHjx9jY2PDvHnzSE5OJjQ0lOLiYk6ePMnQoUOZNm0aJ06cYPPmzeTn56Orq4unpyeWlpYArFu3jv3792NiYoK1tTUJCQnSzEVwcDCxsbEAvPHGGyxevBhDQ0MCAwNJSUlBoVBw+/ZtZs+eTVRUlNR5Oz8/Hzs7O/bs2cOrr75a7vuqKHpj0aJFdOrUSTovly5dYvr06Rw+fJj09HTmzZvHvXv3aN26NVDSpHHcuHEVnr9jx44RGBhIYWEhWlparFmzhs6dO2NhYcGcOXP44YcfePjwIfPmzeP9999n+fLlALi7u6OlpcW3334rNYF80s2bNxkxYgRubm78+OOP5OXl4efnR2hoKL///jv6+voEBQVhampKUVERfn5+/PjjjwD069ePuXPnoq2tXeY7cvfuXSwtLfH19eWnn37i6NGjnDx5kvDwcCZNmkTLli0pKirCy8vrmZgWdcjlckJCQqRCcP78+VJ/q9OnT0vvvVevXhw5coStW7dW2A6gZ8+e0v83Njamffv23Lp1CysrK7XGIgiCIGhWvc8slXpe4joaNWrEli1biIyMJDo6mvPnzxMfH4+FhQXu7u4MHz6cmJgYpk2bRmpqKkFBQWzbto3IyEi8vb359NNPgZLu2ceOHSMmJoawsDCuX78uHfvEiRPExsYSGhqKXC6nqKhIigQBOHfuHH5+fhw8eJABAwaQkpLCjRs3ANi/fz89e/assFCCiqM3XFxciI6Olp4XGRmJi4sLMpkMb29vevXqxb59+1iyZAlJSUkqP6+rV6+yePFiAgICiI2NZc+ePWWmLo2MjNi7dy9r167F29sb+L+1O6GhocTExJRbKJV6+PAhb731FtHR0YwcOZKJEycyduxY5HI53bp1Y+fOnUDJbfYXLlwgMjKSyMhI/vrrrzJhvSkpKXz11VfExcXx559/cvLkSfr164ednR3Tpk0jJiZGypKrKKZFHX379mXPnj1ER0cTEBDA/PnzgZLi1sPDg6VLlyKXy+nVqxe3b99We79Xrlzht99+U6t3lCAIglA76n1mSZX6iOsoKipi7dq1nD17FqVSyb1797h48SL9+/d/Zh8//vgjqampjB07VtpWWFjIvXv3SExMZPDgwRgYGAAlfYlK//gmJCQwZMgQ6dhubm74+PhI++jfv78Uj6Gjo8Po0aMJDQ3l888/57vvvpMKsopUFL1hZWVFTk4OycnJtG/fnri4OKmwSExMZPHixQC0atWqwq7fpU6ePEn//v15/fXXgZKu3U+uQyqNGbG0tCQ9PZ3Hjx+X6ZBdGQMDA9577z0AunXrRosWLejSpYv088mTJ4GSc+ni4iId29XVlcOHDzNmzBig5DtSetyuXbuSmprKu+++W+4xaxLTcuPGDT777DPS0tLQ0dHh3r17ZGRkcP/+ffT19aVZoQEDBqgsEp+Unp7OjBkzWLp0KWZmZmqPRRAEQdCs57pYqo+4jm+++YasrCzCw8Np0KABS5YsURl70a9fP9auXVvl46hiaGhY5mc3NzdcXFyws7MjKytLZSFTWfTG8OHDiYqKwtramvbt29OqVSuNjr1U6Wehra0NlBSRVSmWno5MefLn2oo7qUlMi4eHBwsWLMDBwYHi4mJ69uypdlxKee7fv8+kSZP46KOPGDx4cLX3IwiCINTcc3MZDp6PuI7s7GxMTU1p0KABaWlpHDlyRHqNkZFRmfG9++67/Pjjj6SkpEjbShcNW1tb8/3335Obm0txcbG0PglKIjoOHDiAQqFAqVQSERFBnz59Khxr06ZN6dOnDx4eHowZMwaZTFbhc1VFb0BJsRQXF0d4eDiurq7SdmtraymK486dO5w6darik/f/33t8fDzXrl0DSmb91IkyMTQ01GjkSe/evYmOjqagoICCggKio6NVnstST3+WNZWdnS1dhty7dy/5+fkAtGvXjtzcXH799VegZGF5VlaWyn1lZmYyadIkxo4dq5E2AoIgCELNPFczS89DXMf48eOZPXs2jo6OmJmZlZnFcXBwIDo6GmdnZ2mB9xdffMGiRYvIy8ujoKCAN998kx49emBvb8/Zs2cZNmwYjRs3xtLSkv/9738A2NjYkJycjLu7OwDdu3dn+vTpKsc7cuRIDh48iIuLi8rnqYregJJg1g4dOpCUlERAQIC0fdGiRcybNw+5XM5rr71Gjx49pMuE5Xn99ddZuXIlc+bMoaioCG1tbdasWYOFhYXK8U2ePJkPP/wQfX39Chd4V8Xo0aNJTU2Vzkvfvn1xc3Or9HXDhg3D09OTgwcPSgu8a8LT05MZM2bQuHFj+vXrh4mJCVAyW+Xv78+yZcuAkqK0WbNmKiNPgoODuXbtGmFhYdJl0g8//JARI0aoPZ4xLiGig3c9Ek0pBeHlUu99ll5mpTEXxcXFLFq0iObNmzNnzpxq7SsoKIiMjIxyGxxqQl5eHjo6Oujo6JCens7IkSPZsWOHSLrXgCfjTk6dOoWnpydHjhxBS0vzE7si7kQQBKHqRNxJPZo/fz63bt0iLy+Pbt26MXXq1GrtZ+jQoWhra7N9+3YNj/D/XLt2jfnz56NUKiksLGTmzJmiUNKQQ4cOsWPHDpRKJXp6evj5+dVKoSS8nAqK8tEVs1SCUK9e+pmlFyFSozrCw8Ol2+eftGbNGumuMU3w8vLi999/L7NNW1u7Sp2u62PfmnLixIkylytLeXh4YGNjU6N918Z3s/RfR04erTBqIjp4vwyWuYlu4IJQ2yqbWXrpi6W6Vp3YjJdNVlYWYWFh1Z5J06TIyEj+9a9/YW5uLv18/PhxNmzYUOP9amI/5ZkxYwY3b95ES0sLAwMDlixZonYBLIqll48olgSh9j33cSfCyycrK4tt27bV9zCAkuajpXfsvSh8fX2JjY0lOjqayZMns3DhwvoekiAIwj+aWLNUA7m5ucyfP5/Lly+jo6ODubk5Y8aMURmboSrm5PLly2RmZpKenk7Hjh3x8fFRedfUZ599xtWrVykoKKBNmzb4+PjQuHFjJk6cyLhx43BwcABKGnB+/fXXfPvtt1y+fBlPT09yc3Pp3LkzqampTJ8+XWUYbEREBCEhIQDo6uqydetW8vLyGDFiBO7u7pw4cYLc3FxWrVqFlZUVK1asIDs7G2dnZxo2bPhM+4JSiYmJrFq1ih49evD777+jo6PD2rVr2bhxIykpKbRs2ZLAwEAMDAzIycnB29ubP/74AygJYC6duRo/fjzdu3fnt99+Iz09ncGDBzN37lz27t3L+fPn8fb25ssvv5S6aisUCj799FNSUlIwNjYmMDAQU1PTqnz0ZWRkZJQbkQMlLQUWLlxISkoKZmZmmJmZ0axZM2ks5XnyM1coFCpbRQiCIAi1T8ws1cBPP/1ETk4O+/fvJzY2VlprUlFsRmUxJ7/++isBAQEcPHgQIyOjSuM2Fi1aRGRkJHK5nA4dOvDVV18B5cealN52Pm/ePMaNG0dcXBwTJkyQio+KJCYmsnXrVrZv305sbCwhISHSH/OHDx9iaWlJdHQ0n3zyiRSr4uXlhbGxMTExMRUWSqWuXLkixZhYWloyZcoUPD092b9/P1paWuzbtw8ouRuwuLgYuVxOaGgo0dHRnDhxQtrPnTt32LVrF9HR0YSHh3Pt2jVGjBhB9+7dWbx4MTExMVL/pT/++IP58+ezb98+OnToUO7ar6qoKCIHYNOmTTRq1IiDBw+yfv16tQNxFy1axHvvvce6devw9fWt0fgEQRCEmhHFUg107tyZK1eusHz5cg4cOFAmeuXJ2IzSXLcnY05kMhlubm4kJCRI+3vvvfd45ZVXgJK+SpU1hoyJicHV1RUnJyfi4uK4cOECAAMHDuT06dNkZmaSmZlJUlISAwcORKFQcOnSJZycnICSma3K+iIdP34cZ2dnaebF0NBQ6optYGAgzUg9+T6rwtzcXFqP07VrV7p06UKLFi2AkliT0ky9hIQERo0ahUwmw8jIiKFDh5Y5d4MGDUJLS0sKnk1NTa3wmG+++abUV6lnz54qn6uO0oicYcOG4erqSkpKChcvXgRKis3S5p8mJibSbF9lVq1axfHjx5kzZ47GO8QLgiAIVSOKpRpo3bo1cXFxvPvuuyQkJODs7Mzjx49rFJuhrtOnT7N79262bduGXC7n008/lbpGN2zYEHt7e+Li4oiLi8Pe3l7KqAM0dllHE+/z6RiT6kbWVOV1mojFedKTETlyuRwHB4caRZ08afjw4SQmJkod5gVBEIS6J4qlGrh79y7a2to4ODjg6enJgwcPpC7d5aks5uT48eM8ePAAKLl0pippPisrCyMjI0xMTMjPz2fv3r1lHndxcSEqKoqoqChpZsPIyIiOHTsSFxcHwJ9//smlS5dUvsf33nuPmJgY7t27ByCty1HFyMiIvLw8jRaJvXv3Zu/evSiVShQKBfv371cr1uTpCJ3aoCoix9rampiYGKDkM3vysfLk5ORw584d6eejR4/SuHFjqSO4IAiCUPfEAu8aSE5Oxt/fH4Di4mKmTZtG8+bNK3x+ZTEnVlZWzJkzh7S0NDp06MCCBQsq3Fe/fv2IjY3l/fffp0mTJlhZWZVZf2RlZSVlsJUm3kPJnVYLFy4kODiYTp060alTJ5WLyHv16sW0adOYNGkSMpkMPT09tmzZovK8mJiY4OTkhJOTE40bN6503ZI6ZsyYwcqVK6VLiMOGDaN///6Vvm706NGsWbOG7du3q1xUXROqInI++eQTPD09GTRoEKampnTv3l1ljExubi6zZ88mNzcXLS0tGjduzJYtW6o8G/jpUBF38rIQTSkFof6JPkvPicDAQB49elRrf9BL5eTkYGBggEwm4/Lly4wfP56DBw/SuHHjWj3uP1VBQQHFxcU0aNAAhULBBx98gKenp1qzYtUh4k4EQRCqTsSdCGWcPXuWtWvXUlojr1y5UhRKtSgrK4upU6dSVFTE48ePcXR0rLVCSXi55RfloydmmAShXoiZpefcxo0b+eGHH57Z/vXXX9OsWTONHefjjz8us1YGoGXLlpVecqvvfWtKRfExKSkpdOzYscw2TcTl1NbnWvqvo9YLOqHbVPxhfZkccN5b+ZMEQagWEXci1LqbN2/y888/M3r0aGmbnZ0dW7ZsoVOnTvU4smetX7+ejh07MmTIEBITEykoKKBv3771PawK7dixAycnJ7ULKFEsvbxEsSQItUfEnbyAaqPVQG26desWYWFh9T0MtcyePZshQ4YAkJSUxM8//1zPI1ItJCSE+/fv1/cwBEEQ/tFEsVSHLCws2LBhA87Ozrz//vt8//33ZR4LDAxkxIgRbNy4EYVCwaJFixg5ciROTk54e3tTVFTE6dOnGT58eJn9urq6kpSUVOFxx48fz5o1axgzZgw2NjZs376duLg43N3dsbOz48CBA9Jz4+PjGT58OE5OTkyYMEFqCpmYmIizszNeXl44OTkxbNgwrly5AsCKFSu4cuUKzs7OzJo1S9rXgQMHGD16NHZ2dpV2yU5OTmbMmDG4uLgwZMgQduzYAcDt27d59913KSgokJ47a9YsoqKiANi5cycDBw5kxIgRbNiwgV69eqk8zoIFC9i5cyfJyclSJ3BnZ2eCg4OBki7r7u7uuLq6Mnr0aH777Tfp/Q8bNozFixfj5OSEi4sLKSkpUvE1ZcoUHj16pPLYZ8+e5YMPPmDYsGEMGzaMn376CSiZhVu/fv0z52rz5s2kp6cza9YsnJ2duXz5ssr9C4IgCLVDLPCuY1paWsTExPD333/zwQcfYGVlJV1iadCggdQvadGiRbz99tusWrWK4uJiKevMzc2NR48ecfHiRTp37kxycjJZWVm8/fbbKo979+5ddu7cSUZGBgMHDmTixImEhoZy7tw5Zs6cyeDBg7l//z7z5s1j586ddOjQgfDwcObOnUt4eDhQEuOyevVqVqxYwebNmwkKCsLf3x8vLy98fX2JjIwsc8y8vDzCwsK4efOmVGAYGhqWO75WrVqxY8cO9PT0yMnJYdSoUfTr14/27dvTsWNH4uPjsbe3JzMzk8TERNasWcPFixfZunUrMTExNG3aFG9vb7U/BwsLC9zd3cvcgZiamkpQUBDbt2/HyMiIlJQUpk6dyvHjx4GSaBZfX1+8vb1Zvnw5U6ZMYc+ePbRo0YKpU6eyb98+Ro0aVe7xHj58yMyZMwkMDOTNN9+kqKhIau1Q0bmaPn064eHhbNiw4bm7nCkIgvBPImaW6ljpH9N27drRtWtXaeYCShpJljp69Cjbt2/H2dkZFxcX/vzzT65evQqUdHUunVmJiopi+PDhlfbhKY0DMTMzKxO70a1bN9LS0nj8+DG///47nTt3pkOHDgCMGDGCCxcuSH/UK4pxqUjp5a7XXnuNRo0acffu3Qqfm5eXx8KFC3FycuKDDz4gPT1digwpbbAJEBcXh52dHQYGBiQlJWFjY0PTpk2BkoiYmvjxxx9JTU1l7NixODs7M3fuXAoLC6WGnOpGs5Tnt99+o3379rz55ptASefwJ+9CrMq5EgRBEOqWmFl6jjwZSaJUKgkKCqJ169bPPG/48OG4ubnh4eFBXFycWuuFno74KP1ZW1sbUG+dVFXjTaoSKxIQEICpqSlr1qxBR0eHyZMnS53CBw4cyOrVq8nMzCQqKoqFCxdWOtbq6tevX7lZbFeuXKk0mqUmESeajmARBEEQNEfMLNWx0sts165d46+//sLS0rLc59nZ2REcHCz90Xzw4IE0k/Pqq6/SoUMHvL296dChA61atdLI2CwtLbl48aK0FikqKoquXbuq7DgNJfEmT15Sqo7s7GxatGiBjo4Oly5d4vTp09JjpVl3AQEBKBQKqSO5tbU18fHxUkRM6eyTuoyMjMpEobz77rv8+OOPpKSkSNvOnTtXk7clsbS05MqVK5w9exYoCd9VFY1Tqi7iWgRBEATVqjWzdOrUKbS0tLC2ttb0eF56RUVFDB8+nNzcXFasWFHhLeELFy7kiy++wNnZGZlMhq6uLgsXLpRmmlxcXJg3b55GE+mbNm3K2rVrpctPTZs25Ysvvqj0dRYWFpibm+Po6Ei7du3YsGFDlY89ffp05s2bR0REBObm5s+swXJxcWHs2LHMnj1b2ta5c2c++ugj3N3dMTIy4p133lEZ3fI0BwcHaYH30KFDmTZtGl988QWLFi0iLy+PgoIC3nzzTXr06FHl9/M0ExMTAgMDWbNmDY8ePUJLS4v58+dX2qDyww8/ZOHChejr6+Pv7y9dIq3MjgGbRQfvl4xoSikI9UetPkvjxo1jzpw5vPXWWwQHB7Njxw60tbUZO3YsH3/8cV2M86VgYWHBmTNnKlzkLFSdQqGQZr4CAwO5fv06fn5+9Tyq+iPiTgRBEKpOI3EnKSkp0uWi8PBwQkJCMDQ05IMPPhDFklCv/P39OXPmDAUFBbRu3brGnbUF4UWUX1SInrZYgioItUWt367i4mJkMhmpqakolUrpUoA6ay6E/5OcnFxr+z5x4gQBAQHPbPfw8MDGxqbWjltVrq6uzyxerkl8yNKlS5/ZduHCBRYsWPDM9nHjxlV4a7+m1FU8TWUmfb8R3aaq15oJL4/9LovrewiC8FJTq1h66623WLFiBRkZGQwYMAAo6UnTpEmTGg/A2dmZsLAw9PX1qxztUNee53gMGxub56ooqoitrS3//ve/y9xZpmldunQhJiZG5XMOHz5M8+bNpfVIiYmJ5faKUmX8+PFMnjwZW1tbadvMmTOZOXNm9Qb+/6WlpTF37lz++usv2rZtW6UxCYIgCJqn1t1wq1evplGjRlhYWEh/CP7++28+/PDDGg8gJiYGfX194PmPdqjreIzi4mJetui+jRs3lunGXV8OHz6ssTvdNM3AwIDZs2fj7+9f30MRBEEQUHNmqUmTJnh4eJTZ9t5772lkAKWLnkNCQqRohwYNGuDv70+bNm1Yt24dv/zyC/n5+VhYWLBs2TIMDQ1ZsGABenp6XLt2jRs3bjBgwABsbW0JDAzk7t27TJgwgQkTJqg89tatW4mLi0Mmk2FgYMB3333H/fv38fDwICcnh8ePH2NjY8O8efOkeIzi4mJOnjwp3T114sQJNm/eTH5+Prq6unh6ekrru9atW8f+/fsxMTHB2tqahIQEaZYgODiY2NhYAN544w0WL16MoaEhgYGBpKSkoFAouH37NrNnzyYqKkqK48jPz8fOzo49e/bw6quvlvu+fH19SUpKoqCggCZNmuDj40OrVq1YtGgRnTp1ks7LpUuXmD59OocPHyY9PZ158+Zx79496Y67vn37Mm7cuArP37FjxwgMDKSwsBAtLS3WrFlD586dsbCwYM6cOfzwww88fPiQefPm8f7777N8+XIA3N3d0dLS4ttvv6VRo0bP7PfmzZuMGDECNzc3fvzxR/Ly8vDz8yM0NJTff/8dfX19goKCMDU1paioCD8/P3788UegpE/S3Llz0dbWLvMduXv3LpaWlvj6+vLTTz9x9OhRTp48SXh4OJMmTaJly5YUFRXh5eXF2bNnkclkrFu3jvbt26v8DpWSy+WEhIRIheD8+fPp3bs3AKdPn5bee69evThy5Ahbt26tsCu3sbExVlZWJCYmqnVsQRAEoXapNbOUn5/PunXrsLe356233gLgp59+qjTvqyqmT59O8+bN2bBhAzExMXTo0IFt27ZhbGxMREQEsbGxNG/eXCoaoGTh+bZt29i/fz9yuZzY2Fh27tzJ7t27+fLLL8nJyanweFFRURw9epTdu3cTGxvL5s2b0dLSolGjRmzZsoXIyEiio6M5f/488fHxUjzG8OHDiYmJYdq0aVI8xrZt24iMjMTb25tPP/0UKOnAfezYMWJiYggLCyvT3fnEiRPExsYSGhqKXC6nqKiIoKAg6fFz587h5+fHwYMHGTBgACkpKVKPpf3799OzZ88KCyWAqVOnsnfvXmJjY3F0dJTuDnNxcSE6Olp6XmRkJC4uLshkMry9venVqxf79u1jyZIlKrPmAK5evcrixYsJCAggNjaWPXv2lLmDwMjIiL1797J27VophqR0fVFoaCgxMTHlFkqlHj58yFtvvUV0dDQjR45k4sSJjB07FrlcTrdu3aTvXlhYGBcuXCAyMpLIyEj++uuvMk06U1JS+Oqrr4iLi+PPP//k5MmT9OvXDzs7O6ZNm0ZMTIyUtXf58mXc3d2Ry+UMHjy4zGdSmb59+7Jnzx6io6MJCAiQIlTy8/Px8PBg6dKlyOVyevXqxe3bt9XeryAIglD/1CqWfHx8uHTpEn5+flKsRseOHdm9e3etDu7o0aPExsbi7OyMs7MzR48eJTU1VXrcwcEBPT09GjZsiLm5OTY2NlKkR2WREceOHeODDz6QbjsvXX9VVFTE2rVrGTZsGK6urqSkpEixG09TFY+RmJjI4MGDMTAwQEtLq0z4bUJCAkOGDMHIyAiZTIabmxsJCQnS4/3795ciPHR0dBg9ejShoaEAfPfdd4wdO1bleYuPj8fNzQ1HR0e2b9/OhQsXALCysiInJ4fk5GQKCwuJi4uTIlYSExMZMWIEUJLTVjorUpGTJ0/Sv39/Xn/9daCku/eTzStL4zssLS1JT0+vcndrAwMDafayW7dutGjRQooa6datm/Q9SEhIwMXFBT09PfT09HB1dS1zLh0cHGjQoAF6enp07dq1zPfnaVWNc3nSjRs3mDJlCkOHDmXOnDncu3ePjIwM/v77b/T19aVGmgMGDFBZJAqCIAjPH7Uuwx0+fJhDhw5Jf/gBzMzMSEtLq9XBKZVKli5dWuEf7ooiPEp/rk5kxDfffENWVhbh4eE0aNCAJUuWqPxDX1E8Rk083YfJzc0NFxcX7OzsyMrKUlnI3Lp1i9WrVxMREUHr1q05c+YMc+fOlR4vzZWztramffv2Guv+/bTy4lSe/Hwq83S0ytNRI+p+tlX5TlQ1zuVJHh4eLFiwAAcHB4qLi+nZs2eN4k8EQRCE54daM0u6urrP/JF58OABJiYmGh3M09EOdnZ27Nixg7y8PKCkAWFpFEdN2drasnv3bimmIzMzEyiJ3TA1NaVBgwakpaVx5MgR6TVVicewtrbm+++/Jzc3l+LiYml9EkDv3r05cOAACoUCpVJJRESEyk7OTZs2pU+fPnh4eDBmzBiVobkKhQJdXV1MTU0pLi6WZqRKDR8+nLi4OMLDw3F1dZW2W1tbS3Ehd+7c4dSpUxWfvP//3uPj47l27RpQcrlJncgTQ0PDGkejPKl3795ER0dTUFBAQUEB0dHRlXbFhmc/y5rKzs6WLkPu3buX/Px8oCQwOTc3l19//RUo+YdHVlaWxo4rCIIg1D61ZpYGDRrE/Pnz8fT0BCA9PR0fHx+GDh2q0cE8He0wbdo0Nm7cyMiRI5HJZMhkMmbOnKn2oltVhg8fTlpaGqNHj0ZHRwcDAwN27drF+PHjmT17No6OjpiZmZWZxalKPIa9vT1nz55l2LBhNG7cGEtLS6kvlY2NDcnJybi7uwPQvXt3pk+frnK8I0eO5ODBg9Jls4pYWFgwaNAghgwZQpMmTbCxsSmTs1aaK5eUlFSmL9OiRYuYN28ecrmc1157jR49eqjMhHv99ddZuXIlc+bMoaioCG1tbdasWYOFhYXK8U2ePJkPP/wQfX39Chd4V8Xo0aNJTU2Vzkvfvn1xc3Or9HXDhg3D09OTgwcPSgu8a8LT05MZM2bQuHFj+vXrJ/1DQk9PD39/f5YtWwaUFKXNmjVTGctSVFSEra2tVID279+fUaNG8Z///Eft8Xzz/kzRwfsfRDSlFITapVbcSX5+Pn5+foSHh5Obm0vDhg0ZNWoUc+fOrdV+OS+60iiO4uJiFi1aRPPmzZkzZ0619hUUFERGRka5TRg1IS8vDx0dHXR0dEhPT2fkyJHs2LGDdu3a1crx/kmejGQ5deoUnp6eHDlyRLqkrUki7kQQBKHqahx3UlRUxObNm5k7dy4LFy7kwYMHNGnSROWlIKHE/PnzuXXrFnl5eXTr1o2pU6dWaz9Dhw5FW1ub7du3a3iE/+fatWvMnz8fpVJJYWEhM2fOFIWShhw6dIgdO3agVCrR09PDz8+vVgol4Z9NzC4JQu1Ra2apV69eJCQkvJD/gdd0vEZ56qMLeXh4eLmtG9asWSPdNaYJXl5e/P7772W2aWtrV9pVWp1u59Xdd1VkZWURFhZWplAtr/N2RVTFyGzbtk3t/ZSnou/mBx98wMKFCykuLqawsJA333yTJUuWqDWLW/qvo7bzJqHbpHG1xiW8mPa5qr6ULwhCxTQSpDt8+HB2795d6S3rz6O6iIp4MlojJCSEPn361HqxNGrUqFrPOQOqXVQmJSXx6NEjlcVSXYTeZmVlsW3btmrP6qmKkdm2bVtNhlbhdzMvL4+wsDD09PQoLi5m9uzZhIaGaqRjviAIglB1ahVL586dY+fOnWzfvp0WLVqUuQS3a9euWhvci6K+upAnJyezfPlycnNzefz4MW5ubkycOJHbt28zatQojh8/jq6uLgCzZs3C1tYWFxcXdu7cSUhICMbGxtjY2LBr1y6V3aKzs7Px8fHh/PnzyGQyrKys8PLyIjAwkKtXr5Kdnc2NGzdo06YN69evJzU1tdxu5+Wpyjk4d+4cq1at4tGjRxgYGLBo0SJ69Oghdfx2d3fnxIkT5ObmsmrVKqysrFixYgXZ2dk4OzvTsGFD6e7ApKQkgoODSU9PZ/DgwWXaK1SHJjt4l8b/QEnLhby8vBdyVlcQBOFloVax5ObmptYdRv9006dPJzw8nA0bNkh/CIOCgqQu5ABffPEFwcHB0kLvlJQU/vvf/1JUVISdnR3Z2dns3LmTjIwMBg0axMiRI5/pu1SqVatW7NixAz09PXJychg1ahT9+vWjffv2dOzYkfj4eOzt7cnMzCQxMZE1a9Zw8eJFtm7dSkxMDE2bNpW6a6vi4+ODgYEBMTExaGlp8eDBA+mx8+fPExERgbGxMVOmTEEul+Pm5oa7uzuPHj2SOlmros450NXVZdasWaxevZrevXtz8uRJZs2axaFDh4CSjt+WlpbMmTOH2NhYKR7Fy8uLESNGPBOse+fOHXbt2kVOTg4ODg6MHDlSarBZHX379sXR0RGZTMbff//NxIkTiY+Plzp4BwQEYGVlxQ8//MC3335b6f7S0tKkLvE2Njbi908QBKEeqVUsVXa7ulCxo0ePolAo+P7774GSOws7d+4sPV7ahRyosAt5Ra0S8vLyWLZsGcnJychkMtLT07l48SLt27fHxcWFqKgo7O3tiYuLw87ODgMDA5KSkrCxsZE6hI8cORK5XK7yPRw7dozIyEhpdqP0tVBSJJTe/t+jRw+VHbIros45KCwsRFdXV5qt6dOnD7q6uly9ehVDQ0MMDAyktUOlGXCqDBo0CC0tLYyNjWnfvj2pqak1KpZu3LjBZ599RlpaGjo6OlIH7/v371erg7eZmRkxMTE8evSIzz//nB9++EHjrToEQRAE9ahVLJXOipRn5MiRGhvMy6g2u5AHBARgamrKmjVr0NHRYfLkyVLX6IEDB7J69WoyMzOJiopi4cKFGnpHqsdfna7VmujEXtXu25ro9v6k2urgbWBgwJAhQ5DL5aJYEgRBqCdqLYSIiYkp87/t27ezbNmyZy5tCHXbhTw7O5sWLVqgo6PDpUuXyjSfbNiwIfb29gQEBKBQKKSZDWtra+Lj46VLaaVdu1WxtbVl+/btlN44+eRluIpoukO2ubk5BQUFUmfxhIQECgsLMTc3r3QceXl5VYouqQ5NdvC+ceOG9Pr8/HyOHDlS4fomQRAEofapNbNU3hqLiIgIjf3Rf5nUZRfy6dOnM2/ePCIiIjA3N+ftt98u87iLiwtjx45l9uzZ0rbOnTvz0Ucf4e7ujpGREe+8847KbtJQ0p3ax8cHR0dHtLW1sba2ZvHixSpfU16385rQ09Njw4YNZRZ4r1+/vtLb6U1MTHBycsLJyYnGjRs/E/+iKZrs4H3mzBm2bduGTCajuLiYt99+mxkzZlRpPF+/P040pfyHEX2WBKH2qNVnqTzFxcW88847JCUlaXpMQi17sqN0YGAg169fx8/Pr55H9fISHbwFQRCebxrps1RcXFzm59zcXGJjYyudkRCeT/7+/pw5c4aCggJat25dJ/2O/slEB29BEIQXm1rFUteuXZ+JNzEzMxN/ZOuIpruQl5cvd+HCBRYsWPDM9nHjxtW4+WVt7luTPv74Y+7cuVNm25UrV8q9ZOrh4VFhs8qnubq64urqWu722u4uL/xz5BcVoaetXd/DEISXklqX4W7dulXm54YNG5a5fVyoP/URtVJdN2/e5Oeff2b06NH1PZRnzlVgYKDafaFKlTYjragPVnVt2rSJ/fv3o6Wlha6uLnPmzKFfv35qvbZ0Kvn1ubPQbWKi0XEJz7e4kS9ewoIgPC8quwyn1rWAb775hlatWkn/Ky2UVq1apdnRClUWExMjdXwOCQnh/v379Tyiit26dYuwsLD6HgbwfJ+rHj16EBERgVwux8fHhzlz5kh3UwqCIAh1T63LcJGRkeXe/RQbG8uiRYs0PihBffUVtQKwdetW4uLikMlkGBgY8N133/HLL7/g4+NDz549OXv2LDKZjHXr1tG+fXtWrFjBzZs3cXZ2pm3btmzYsKHc/UZGRhIXF4exsTHJycmYmZmxZMkSfH19SU1NpXv37vj5+SGTybh37x5Lly6VmmFOmTKF4cOHAyVtG5ydnTl58iQZGRlMnjyZcePGsXnz5mfOFZR0zZ46dWqZ6JaGDRuq9Tn4+vqSlJREQUEBTZo0wcfHh1atWgFUOV7myVkkCwsLlEolDx8+pEWLFmqNRRAEQdAslcVSaTPKoqKiZxpT3rhxQ7o9Wqh/dR21EhUVxdGjR9m9ezdGRkZkZmZKi5YvX77M6tWrWbFiBZs3byYoKAh/f3+8vLzw9fVVK9z4jz/+QC6X06JFC/7973/z2Wef8e2332JgYICLiwsJCQn06dMHb29vOnbsyKZNm0hPT8fV1ZWuXbtK56A0lPbmzZs4OTnh4uJS7rmCiqNb1DF16lTpEl54eDh+fn6sW7euWvEyT4qOjqZNmzaiUBIEQahHKoul0qaTBQUFZRpQymQyXnnllUojJYT6VZtRK8eOHeODDz6Qbolv0qSJ9Ji5uTldu3YFSqJHjh07VuWxv/nmm1KB0KVLF1q1aiXFhHTu3Jnr16/Tp08fEhISpMXjzZs3x8bGhsTERKkIGjJkCACvvfZape+pJtEt8fHxfPfddzx69KhMA8zqxMs8+dr169fz9ddfqz0OQRAEQfNUFkulzSjXrVsnzUYIL47ajFpRparRI7U5tqq8rrrRLbdu3WL16tVERETQunVrzpw5w9y5c9V6bUXOnj3L559/TlBQEO3atavRvgRBEISaUWuB95OFklKppLi4WPqf8Pyoy6gVW1tbdu/ejUKhACAzM7PS1xgZGUnP15TevXuzZ88eADIyMjhx4gTvvPNOpa97+lzVhEKhQFdXF1NTU4qLi8t0Ca9OvMy5c+eYM2cOGzZsoFu3bhoZoyAIglB9ai3wTktLY8WKFZw+ffqZXKsLFy7UysCEqqvLqJXhw4eTlpbG6NGj0dHRwcDAgF27dql8jYWFBebm5jg6OtKuXbsKF3hXxeLFi/Hy8sLJyQmAuXPn0rFjx0pf9/S5qgkLCwsGDRrEkCFDaNKkCTY2NlJOX3XiZZYvX05eXh5eXl7StrVr12JhYaH2mLYPdhYdvP9hRJ8lQag9avVZ+vjjj9HX1+ff//4348aNY9euXQQGBmJjY6P2AlhB+Keqy3gZEXciCIJQdRqJOzl79izHjh3DwMAAmUxG586dWbVqFe7u7qJYEoRKiHgZQRCEF5taxZKWlhY6OiVPbdSoEQ8ePMDIyIi0tLRaHZxQ/2ozkuNFiPvYuHEjP/zwwzPbv/76a7U7pdd1vIwgqENcthME9al9GW7EiBEMGDAALy8vrl27hr6+Prm5udIdc0KJxMREtXsJvayysrIICwtj6tSp9T0UIiMj+de//oW5ubn08/Hjx2u8XkpT+3laZmYm8+bNIzU1FT09Pdq2bcuKFSvUjhcqnUpuN3chuk1EJJFQsdiRTvU9BEF4bmgk7mTt2rW8/fbbACxcuJB33nmHjh071nhhrPByysrKYtu2bfU9DKDk7rNr167V9zDUJpPJ+Oijj/j++++Ry+W0bt261tY3CYIgCOpR6zJcaaM+AH19fWbMmFFrA3qR5ObmMn/+fC5fvoyOjg7m5uaMGTOGoqIivLy8non7AAgODiY2NhaAN954g8WLF2NoaEhgYCCXL18mMzOT9PR0OnbsiI+Pj8o7pz777DOuXr1KQUEBbdq0wcfHh8aNGzNx4kTGjRuHg4MDUNJA8uuvv+bbb7/l8uXLeHp6kpubS+fOnUlNTWX69OnY2tpWeJyIiAhCQkIA0NXVZevWreTl5TFixAjc3d05ceIEubm5rFq1CisrK1asWEF2djbOzs40bNiwzK30T0pMTGTVqlX06NGD33//HR0dHdauXcvGjRtJSUmhZcuWBAYGYmBgQE5ODt7e3vzxxx9ASYBw6czV+PHj6d69O7/99hvp6ekMHjyYuXPnsnfvXs6fP4+3tzdffvml1GFboVDw6aefkpKSgrGxMYGBgZiamlbloy8jIyMDDw8PcnJyePz4MTY2NsybNw+A7OxsFi5cSEpKCmZmZpiZmdGsWbMKA3tNTEzo1auX9LOlpSW7d++u9tgEQRCEmlNrZik/P59169Zhb2/PW2+9BcBPP/3Ezp07a3Vwz7uffvqJnJwc9u/fT2xsrLTW5vLly7i7uyOXyxk8eDBBQUEAnDhxgtjYWEJDQ5HL5RQVFUmPAfz6668EBARw8OBBjIyMyjxWnkWLFhEZGYlcLqdDhw589dVXALi4uBAdHS09LzIykhEjRgAwb948xo0bR1xcHBMmTJCKj4okJiaydetWtm/fTmxsrJRxBvDw4UMsLS2Jjo7mk08+kWZAvLy8MDY2JiYmpsJCqdSVK1cYO3YscrkcS0tLpkyZgqenJ/v370dLS4t9+/YBJdEtxcXFyOVyQkNDiY6O5sSJE9J+7ty5w65du4iOjiY8PJxr164xYsQIunfvzuLFi4mJiaFPnz5ASZTK/Pnz2bdvHx06dKjx97hRo0Zs2bKFyMhIoqOjOX/+PPHx8QBs2rSJRo0acfDgQdavXy+1FFBHcXExu3fvxs7OrkbjEwRBEGpGrWLJx8eHS5cuSeGlAB07dvzH/4u3c+fOXLlyheXLl3PgwIEy0SFPxn3cuHEDgISEBIYMGYKRkREymQw3NzcSEhKk/b333nu88sorQEksxqlTp1QePyYmBldXV5ycnIiLi5N6Xg0cOJDTp0+TmZlJZmYmSUlJDBw4EIVCwaVLl6SeRG+88UalvXuOHz+Os7OzNPNiaGgodbo2MDCQZqSefJ9VYW5uTpcuXQDo2rUrXbp0kWJOunXrxvXr14GSczdq1ChkMhlGRkYMHTq0zLkbNGgQWlpaGBsb0759e5VRJW+++SYtW7YEShaUVyXWpDxFRUWsXbuWYcOG4erqSkpKChcvXgRKik1XV1egZNaodLZPHStXrsTAwIBx48bVaHyCIAhCzah1Ge7w4cMcOnQIAwMDKSzVzMzsH383XOvWrYmLi+PUqVPEx8ezbt06Fi9erJG4j8qcPn2a3bt3ExoaStOmTZHL5VIn64YNG2Jvb09cXBwA9vb2GBgYSN2zSwvemtLE+3xyH+XFmqgbOVKTWJPqxrqU+uabb8jKyiI8PJwGDRqwZMkStcddEV9fX65fv86WLVuk3zlBEAShfqj1X2FdXd1n/qA8ePAAExOT2hjTC+Pu3btoa2vj4OCAp6cnDx484H//+1+Fz+/duzcHDhxAoVCgVCqJiIiQLg1BySxOaSxGZGSkytiOrKwsjIyMMDExIT8/n71795Z53MXFhaioKKKioqSZDSMjIzp27CgVUX/++SeXLl1S+R7fe+89YmJiuHfvHoC0LkcVIyMj8vLyNFok9u7dm71796JUKlEoFOzfv7/MuauIJmNNKpKdnY2pqSkNGjQgLS2NI0eOSI9ZW1tLIdRZWVllHqtIQEAA58+fZ9OmTWWKSUEQBKF+qDWzNGjQIObPn4+npycA6enp+Pj4MHTo0Fod3PMuOTlZuiOwuLiYadOm0bx58wqfb2NjQ3JyMu7u7gB0796d6dOnS49bWVkxZ84c0tLS6NChQ7l9eEr169eP2NhY3n//fZo0aYKVlVWZ9UdWVlbSTJKVlZW03dfXl4ULFxIcHEynTp3o1KmTykXkvXr1Ytq0aUyaNAmZTIaenh5btmxReV5MTExwcnLCycmJxo0bV7puSR0zZsxg5cqV0iXEYcOG0b9//0pfN3r0aNasWcP27dsrXFRdU+PHj2f27Nk4OjpiZmZWJrj4k08+wdPTk0GDBmFqakr37t2lbt7lSUlJYevWrbz++uvS9+S1115j06ZNVRrTV4PtRQdvQSXRZ0kQ1Fdhn6WdO3dKayWuXbvGd999R3h4OLm5uTRs2JBRo0Yxd+5c8S9fDQkMDOTRo0e19ge9VE5OjtSJ/fLly4wfP56DBw/SuHHjWj3uP1VBQQHFxcU0aNAAhULBBx98gKenp1qzYtUh4k4EQRCqrtpxJ+vWrZOKJVdXV86cOcPChQt58OABTZo00di6F6FunT17lrVr11JaI69cuVIUSrUoKyuLqVOnUlRUxOPHj3F0dKy1QkkQ6kp+UTF62mItnfDPUWGx1Lp1a9asWUOHDh0oLCyU1os8beTIkbU6wH+K//znP+Vu10TcxpP69u1L3759n9n+8ccfc+fOnTLbWrZsWeklN3XU5r41JTw8vNwWAikpKXTs2LHMtqpEsjRr1qzcbu6a/lyf9u+Dp9Frcq3G+xGE8kSNePa/IYLwMqvwMtzVq1fZtm0bt2/fJjExUeqvVObFMpnUrPCfzNnZmbCwMPT19dmxYwdOTk4a+YP3IktMTKSgoKDcwqwulRe9Mn78eCZPnqyyEac6NLWfpx0+fJigoCDy8/NRKpWMGDGCyZMnq/Xa0qnkDp/7otfkFY2OSxBKiWJJeNlU+zKcubk5q1atAmDChAn897//rb1RvuBK73YCCAkJoU+fPv/4YikpKYlHjx49F8XStm3bnoucOnWZmpqyefNmzMzMyM7OxtXVlR49epRZqC8IgiDUHbXuhhOFkmoWFhacOXOGkJAQ0tPTmTVrFg0aNMDf3582bdqwbt06fvnlF/Lz87GwsGDZsmUYGhqyYMEC9PT0uHbtGjdu3GDAgAHY2toSGBjI3bt3mTBhAhMmTKjwuMnJySxfvpzc3FweP36Mm5sbEydO5Pbt24waNYrjx4+jq6sLwKxZs7C1tcXFxYWdO3dKnbhtbGzYtWsXiYmJFR4nOzsbHx8fzp8/j0wmw8rKCi8vLwIDA7l69SrZ2dncuHGDNm3asH79elJTUwkNDaW4uJiTJ08ydOhQpk2bVu6+q3IOzp07x6pVq3j06BEGBgYsWrSIHj16cPPmzSpHryQlJREcHFwmHqUm5HI5ISEhFBQUADB//nzprrjTp0+zfPlyoOTuwiNHjrB161Y6depU7r569uwp/f/SJpu3bt0SxZIgCEI9UatYEtQzffp0wsPD2bBhg/SHMCgoCGNjYyIiIgD44osvCA4OZs6cOUDJmpj//ve/FBUVYWdnR3Z2Njt37iQjI4NBgwYxcuRIDA0Nyz1eq1at2LFjB3p6euTk5DBq1Cj69etH+/bt6dixI/Hx8djb25OZmUliYiJr1qzh4sWLbN26lZiYGJo2bYq3t3el78vHxwcDAwNiYmLQ0tKSekEBnD9/noiICIyNjZkyZQpyuRw3Nzfc3d3VvrtPnXOgq6vLrFmzWL16Nb179+bkyZPMmjWLQ4cOAf8XvTJnzhxiY2Px8/MjNDQULy8vRowYUWb2D/4vHiUnJwcHBwdGjhzJ66+/XulYK9K3b18cHR2RyWT8/fffTJw4kfj4ePLz8/Hw8CAgIAArKyt++OEHvv32W7X3e+XKFX777Tep2BIEQRDqniiWatnRo0dRKBR8//33QEnOXufOnaXHHRwcysSk2NjYoKWlhZmZGY0aNeLu3btSCO/T8vLyWLZsGcnJychkMtLT07l48SLt27eXmlKWdvK2s7PDwMCApKQkbGxsaNq0KVCyQF8ul6t8D8eOHSMyMlLqJF36WigpEkqDlnv06FGt6BB1zkFhYSG6urrSbE2fPn3Q1dXl6tWrGBoaPhO94uvrq/KY5cWj1KRYunHjBp999hlpaWno6Ohw7949MjIyuH//Pvr6+tKs0IABA8oEU6uSnp7OjBkzWLp0KWZmZtUemyAIglAzoliqZUqlkqVLl5ZpVPikp6M3qhLFERAQgKmpKWvWrEFHR4fJkydL3bUHDhzI6tWryczMJCoqioULF2roHakef3ViPmpyDkpVNXpF05EnHh4eLFiwAAcHB4qLi+nZs2eNIk/u37/PpEmT+Oijjxg8eHCNxiYIgiDUjGiUoWFPx2vY2dmxY8cO8vLyAFAoFFy5ckUjx8rOzqZFixbo6Ohw6dKlMon2pflwAQEBKBQKaWbD2tqa+Ph46VJaVFRUpcextbVl+/btUuuIJy/DVcTIyEijMSPm5uYUFBRI4cIJCQkUFhZibm5e6Tg0Hb1SnuzsbOkOir1795Kfnw9Au3btyM3N5ddffwVK7nTLyspSua/MzEwmTZrE2LFjGTVqVK2OWxAEQaicmFnSsA8//JCFCxeir6+Pv78/06ZNY+PGjYwcORKZTIZMJmPmzJkVXlqriunTpzNv3jwiIiIwNzfn7bffLvO4i4sLY8eOZfbs2dK2zp0789FHH+Hu7o6RkRHvvPOOyrgTAE9PT3x8fHB0dERbWxtra2sWL16s8jUODg5ER0fj7OyscoG3uvT09NiwYUOZBd7r16+vtIN8bUSvlMfT05MZM2bQuHFj+vXrJ+Um6unp4e/vz7Jly4CSYrVZs2Yqz3lwcDDXrl0jLCyMsLAwoOR7NWLECLXHs3WQlejgLdQa0ZRS+KepsM+S8PJSKBRSPllgYCDXr1/Hz8+vnkf18nryfJ86dQpPT0+OHDkirQHTJBF3IgiCUHXV7rMkvLz8/f05c+YMBQUFtG7dWu1u1EL1HDp0iB07dqBUKtHT08PPz69WCiVB+KcQM1tCXRPF0gvA1dX1mQXIVYnceNrSpUuf2XbhwgUWLFjwzPZx48bVeN1Mbe5bk8qLZbly5Uq5l0w9PDywsbFRa7+urq64urqWu12Tn+uTZn5/nQZN8mq8H0F4HoW5dqjvIQj/MOIynCBUIDExEV9f33Kz3TTtycicp9nZ2bFly5YKm1g+qXQqucu8r2nQRLQbEF5OolgSNE1chhOEF8DTTTMFQRCE54colgQByM3NZf78+Vy+fBkdHR3Mzc0ZM2YMRUVFeHl5cfbsWWQyGevWrZMuywUHBxMbGwvAG2+8weLFizE0NCQwMJDLly+TmZlJeno6HTt2xMfHR+UdcKWROYaGhmXiUd5++23E5K8gCEL9EivkBAH46aefyMnJYf/+/cTGxkrrhi5fvoy7uztyuZzBgwcTFBQEwIkTJ4iNjSU0NBS5XE5RUZH0GMCvv/5KQEAABw8exMjIqMxjquTn5zNnzhwWL16MXC7HysqK27dva/4NC4IgCGoTxZIgUNJ/6sqVKyxfvpwDBw6UiV/p2rUrUBKjcuPGDaCkKeaQIUMwMjJCJpPh5uZGQkKCtL/33nuPV155BSiJlCltplmZv//+m4YNG9KrVy8AhgwZUmkfLEEQBKF2iWJJEIDWrVsTFxfHu+++S0JCAs7Ozjx+/LjKMSq1QSaT1fkxBUEQhP8jiiVBAO7evYu2tjYODg54enry4MED/ve//1X4/N69e3PgwAEUCgVKpZKIiAj69OkjPX78+HEpFiYyMpJ33nlHrXG0a9eOvLw8Kbrm4MGDlcajCIIgCLVLLPAWBCA5ORl/f38AiouLmTZtGs2bN6/w+TY2NiQnJ+Pu7g5A9+7dmT59uvS4lZUVc+bMIS0tjQ4dOpTbZ6o8enp6BAQElFng/eqrr1b5/Wx8v63o4C28tERTSqGuiT5LgqBhgYGBPHr0iPnz59f5sUXciSAIQtVV9t9OUZoLgiAIL7TCIvFvfqF2ictwgqBh//nPf8rdvnHjRn744Ydntn/99dc0a9ZMo2P49vt7NGqqq9F9CsLz6hMX0a1eqF2iWBJqzZONFstz8+ZNfv75Z0aPHl3tY6i65FXTy2Gavpw2c+ZMZs6cqZF9CYIgCHVHXIYT6s2tW7cICwur72EIgiAIgkpiZknQmEOHDhEQEECDBg0YOHCgtP2zzz7j6tWrFBQU0KZNG3x8fGjcuDErVqzg5s2bODs707ZtWzZs2MDff/+Nj48PmZmZFBQUMGHCBEaMGKHyuLdv3+bDDz9UGS1SVFSEn58fP/74IwD9+vVj7ty5aGtrk52djY+PD+fPn0cmk2FlZYWXl1eZ1ycnJzN37lyWLFmCtbV1ueNYsGABenp6XLt2jbt372JpaYmvry8ymYzx48czefJkbG1tAcr8PH78eLp168a5c+e4desWH374IWZmZuzcuZP09HQ+//xzBg8eXOXPQxAEQdAMUSwJGnHv3j2WLFnC7t27adeuHV999ZX02KJFi2jatCkA69at46uvvmLu3Ll4eXnh6+tLZGQkAIWFhcydO5cvvviC9u3bo1AoGDFiBJaWllIeW3l+/fVXoqOjeeWVV/D09CQoKOiZS2dhYWFcuHBBOtbUqVMJCwtjzJgx+Pj4YGBgQExMDFpaWlJ/pFInT55k9erVrFu3jg4dVKedp6SksGPHDmQyGS4uLpw8eZJ333230vN39+5ddu7cSUZGBgMHDmTixImEhoZy7tw5Zs6cKYolQRCEeiSKJUEjfv/9d7p27Uq7du0AGD16NH5+fgDExMQgl8spKCjg0aNHvP766+Xu49q1a1y5cgUPDw9pW0FBAX///bfKYunpaBFvb+9nnpOQkICLi4vUkdvV1ZXDhw8zZswYjh07RmRkJFpaJVelSws7KMmM+/HHH9m+fTtmZpUvInVwcKBBgwYAdO3aldTUVLWKpUGDBqGlpYWZmRkmJiY4ODgA0K1bN9LS0nj8+LG0X0EQBKFuiWJJqFUXLlxg9+7dhIaG0rRpU+RyOXv27Cn3uUqlkiZNmhATE1PHo6yYubk5KSkpnD9/Xq1i6cmCRltbm6KiIun/FxcXS489fvxY5etKf9bW1gZKZt1EsSQIglA/xAJvQSMsLS3566+/uHbtGgDh4eEAZGVlYWRkhImJCfn5+ezdu1d6jZGREQqFQvrZ3NwcfX19oqOjpW1Xrlwp85zyqBMt0rt3b6KjoykoKKCgoIDo6GgpnsTW1pbt27dT2p/1yctwrVq14uuvvyYgIID9+/dX4YyU1aZNG/744w8ALl++zIULF6q9L0EQBKFuiZklQSOaNWvGypUr+fjjj9HX15cWeFtbW9OmTRvef/99mjRpgpWVlVQ0WFhYYG5ujqOjI+3atWPDhg1s2bIFHx8ftm/fTnFxMc2aNePLL79UeWx1okVGjx5NamoqLi4uAPTt2xc3NzcAPD098fHxwdHREW1tbaytrVm8eLH02pYtW7Jjxw6mTJlCXl4erq6uVT4/U6dOZfbs2Rw5coSuXbvStWvXKu+jKsa//wqvvSZ6zwj/DIVFSnS0ReC0UHtE3IkgvERE3IkgCELVibgTQRAE4R+pSMSgCBoiLsMJz7379+8zefLkZ7YPGDCgzjtiX7hwodzLfOPGjWPUqFF1OhZVjsdl0qyJfn0PQxDq1eDRr9T3EISXhCiWNCwxMbFM76B/oqysLMLCwpg6dapG9tesWbNq3yEXGRnJv/71L8zNzaWfjx8/zoYNG6q1vy5duhATE1Pj/aji6+vL999/z61bt5DL5XTq1EnjxxAEQRDUJy7DCRqXlZXFtm3b6nsYAERFRUl36L0o7O3t2bVrF61atarvoQiCIAiImaUayc3NZf78+Vy+fBkdHR3Mzc0ZM2YMRUVFeHl5cfbsWWQyGevWrZOaKgYHBxMbGwvAG2+8weLFizE0NCQwMJDLly+TmZmpMrbjSRXFiEycOJFx48ZJjQ2PHTvG119/zbfffsvly5fx9PQkNzeXzp07k5qayvTp06UYjvJEREQQEhICgK6uLlu3biUvL48RI0bg7u7OiRMnyM3NZdWqVVhZWbFixQqys7NxdnamYcOGhIaGlrvfxMREVq1aRY8ePfj999/R0dFh7dq1bNy4kZSUFFq2bElgYCAGBgbk5OTg7e0t3Unn7OwszVyNHz+e7t2789tvv5Gens7gwYOZO3cue/fu5fz583h7e/Pll19KXb0VCgWffvopKSkpGBsbExgYiKmpaVU++jIyMjLw8PAgJyeHx48fY2Njw7x58wDIzs5m4cKFpKSkYGZmhpmZGc2aNVMZzmtlZVXtsQiCIAiaJ2aWauCnn34iJyeH/fv3Exsby4oVK4CSPjru7u7I5XIGDx5MUFAQACdOnCA2NpbQ0FDkcjlFRUXSY1AS2xEQEMDBgwcxMjIq81h5Fi1aRGRkJHK5nA4dOkgRIy4uLmV6FUVGRkr5avPmzWPcuHHExcUxYcIEqfioSGJiIlu3bmX79u3ExsYSEhIiFXAPHz7E0tKS6OhoPvnkE6ljt5eXF8bGxsTExFRYKJW6cuUKY8eORS6XY2lpyZQpU/D09GT//v1oaWmxb98+AIKCgiguLkYulxMaGkp0dDQnTpyQ9nPnzh127dpFdHQ04eHhXLt2jREjRtC9e3cWL15MTEyM1Ffpjz/+YP78+ezbt48OHTqwc+dOlWOsTKNGjdiyZQuRkZFER0dz/vx54uPjAdi0aRONGjXi4MGDrF+/ntOnT9foWIIgCELdE8VSDXTu3JkrV66wfPlyDhw4IEVpmJubS310LC0tuXHjBlASuTFkyBCMjIyQyWS4ubmRkJAg7e/p2I5Tp06pPH5MTAyurq44OTkRFxcnNTocOHAgp0+fJjMzk8zMTJKSkhg4cCAKhYJLly7h5OQElMxsWVhYqDzG8ePHcXZ2lmZeDA0NpU7SBgYG0ozUk++zKszNzenSpQtQEg/SpUsXWrRoAZREfVy/fh0oOXejRo1CJpNhZGTE0KFDy5y70rgQY2Nj2rdvT2pqaoXHfPPNN2nZsiUAPXv2VPlcdRQVFbF27VqGDRuGq6srKSkpXLx4ESgpNkv7Mj0ZYyIIgiC8OESxVAOtW7cmLi6Od999l4SEBJydnXn8+LFUNAFoaWlRWFio8WOfPn2a3bt3s23bNuRyOZ9++in5+fkANGzYEHt7e+Li4oiLi8Pe3h4DAwPptTKZZpq3aeJ9PrmPJ2M+Sn8ujQupTFVeV91jVOSbb74hKyuL8PBw5HI5Dg4Oz8SZCIIgCC8uUSzVwN27d9HW1sbBwQFPT08ePHjA//73vwqf37t3bw4cOIBCoUCpVBIRESFdGgL1YjtKqYoRgZJLcVFRUURFRUkzG0ZGRnTs2JG4uDgA/vzzTy5duqTyPb733nvExMRw7949AGldjipGRkbk5eVptEjs3bs3e/fuRalUolAo2L9/f5lzVxFDQ0Oys7M1No7yZGdnY2pqSoMGDUhLS+PIkSPSY9bW1tKdfFlZWWUeEwRBEF4MYoF3DSQnJ+Pv7w9AcXEx06ZNo3nz5hU+38bGhuTkZNzd3QHo3r0706dPlx5XJ7ajVL9+/YiNjS03RqR0X6WZak8uGPb19WXhwoUEBwfTqVMnOnXqpHIRea9evZg2bRqTJk1CJpOhp6fHli1bVJ4XExMTnJyccHJyonHjxpWuW1LHjBkzWLlypXQJcdiwYfTv37/S140ePZo1a9awfft2lYuqa2L8+PHMnj0bR0dHzMzM6N27t/TYJ598gqenJ4MGDcLU1JTu3btjZGSkcn/e3t4cOnSIe/fuMWnSJExMTKS1W+p6z7EJr70meswI/2xFRUq0RQyKoAEi7uQ5ERgYyKNHj2rtD3qpnJwcDAwMkMlkXL58mfHjx3Pw4EEaN25cq8f9pyooKKC4uJgGDRqgUCj44IMP8PT0VGtWrDpE3IkgCELVVfbfTjGz9A9z9uxZ1q5dS2mNvHLlSlEo1aKsrCymTp1KUVERjx8/xtHRsdYKJUEQ6lZxoRItHTFz9U8giqXnxH/+859yt2/cuJEffvjhme1ff/01zZo1w9nZmbCwMPT19dmxYwdOTk40a9aswuP07duXvn37PrP9448/5s6dO2W2tWzZstJLbuoo3Xd+fj6PHj3CxMREY/uurqfP1ccff8zvv//+zGXUlJQUOnbsWGZbz549WbFiBRYWFpw5cwZDQ8MKj9OsWbNyu7mr+lwvXLhAQEAAly5dYvz48dWabfwz7D4ZjfUqf6IgCNX2r48qXnYhvFzEZbiXiJ2dHVu2bHlu4zGepyiYp89VdS6DqlMsVcf169d59OgRBw8eJD8/v0pjKp1K3jBtD80bt9TouARBKEsUSy8PcRnuJVf6BzskJIT09HRmzZpFgwYN8Pf3p02bNqxbt45ffvmF/Px8LCwsWLZsGYaGhixYsAA9PT2uXbvGjRs3GDBgALa2tgQGBnL37l0mTJjAhAkTVB5769atxMXFIZPJMDAw4LvvvuOXX37Bx8eHnj17PtPBfMWKFdy8eRNnZ2fatm1bYa5aZGQkcXFxGBsbk5ycjJmZGUuWLMHX15fU1FS6d++On58fMpmMe/fusXTpUqlX0pQpUxg+fDhQUhA5Oztz8uRJMjIymDx5MuPGjWPz5s3PnCuAtLQ0pk6dyo0bN2jTpg3r16+nYcOGan0Ovr6+JCUlUVBQQJMmTfDx8ZHiSnbu3Ck187SxsWHXrl0kJiZWuK+2bdsCcPjwYakdhCAIglB/ROuAl8T06dNp3rw5GzZsICYmhg4dOrBt2zaMjY2JiIggNjaW5s2bExwcLL0mJSWFbdu2sX//fuRyObGxsezcuZPdu3fz5ZdfkpOTU+HxoqKiOHr0KLt37yY2NpbNmzejpVXydaqog7mXlxft27cnJiam0gDaP/74A09PTw4ePIi+vj6fffYZ/v7+7Nu3j0uXLkkNKb29venYsSNyuZzt27fj5+dXph1CXl4eYWFhhISE4O/vT05OTrnnCuD8+fP4+/tz4MABCgsLkcvlap//qVOnsnfvXmJjY3F0dJS6mV+8eJGtW7cSGhrK3r17ycrKUnufgiAIwvNBzCy9xI4ePYpCoeD7778HID8/n86dO0uPOzg4lOk6bmNjg5aWFmZmZjRq1Ii7d+9KmXZPO3bsGB988IF0G3yTJk2kx57uYH7s2LEqj/3NN9+UOnl36dKFVq1a0ahRI6Ckc/r169fp06cPCQkJUouF5s2bY2NjQ2JionR5bciQIQC89tprlb6nvn37Ssfo0aNHlTp7x8fH89133/Ho0aMy/aWSkpKwsbGhadOmQEln9qoUYYIgCEL9E8XSS0ypVLJ06dIyfX+e9HQna011ttZEZ29Nja0mnb3V7cJ969YtVq9eTUREBK1bt+bMmTPMnTtXrdcKgiAIzz9xGe4l8nS3ajs7O3bs2EFeXh4ACoWCK1euaORYtra27N69W2p8mZmZWelrjIyMpOdrSu/evdmzZw8AGRkZnDhxQmXn81Ka7OytUCjQ1dXF1NSU4uLiMk04ra2tiY+PlzqzR0VFaeSYgiAIQt0RM0svkQ8//JCFCxeir6+Pv78/06ZNY+PGjYwcORKZTIZMJmPmzJkVXoaqiuHDh5OWlsbo0aPR0dHBwMCAXbt2qXyNhYUF5ubmODo60q5du0rXLalj8eLFeHl5SZ29586d+8yt/uV5+lzVhIWFBYMGDWLIkCE0adIEGxsbTp8+DZRcMvzoo49wd3fHyMiId955R2XHdCjJ/fPw8JBicfbt28eqVavo169fjcYpCIIgVI9oHSAItUyhUEhruwIDA7l+/bq0AFzTRAdvQag7oinly0O0DhCEeubv78+ZM2coKCigdevWrFixor6HJAiCBohC6Z9DFEuCSq6urs8sii7tYP0871tTKuugro6lS5c+s+3ChQvlBiWPGzeOUaNGVX2ggiA895SFSmSiwHohictwQpVVNWKlPiUmJlJQUFBuxMvzZOrUqSxZsoQ2bdo889j48eOZPHkytra2le6ndCp5t9t3tDRuURtDFQShmlrOa1XfQxAqUNllOHE3nFBlMTEx6OvrAxASEsL9+/freUQVS0pK4ueff66z4xUXF1Odf3989dVX5RZKgiAIQv0Tl+GEKnveIlbu37+Ph4cHOTk5PH78GBsbG+bNm0dycjKhoaEUFxdz8uRJhg4dyrRp0zhx4gSbN28mPz8fXV1dPD09sbS0BGDdunXs378fExMTrK2tSUhIkLLsgoODiY2NBeCNN95g8eLFGBoaEhgYSEpKCgqFgtu3bzN79myioqKkbun5+fnY2dmxZ88eXn311XLf15NZdZcvX8bT05NHjx7RqVMntfs9CYIgCLVDFEtCtU2fPp3w8HA2bNggdcwOCgqSIlYAvvjiC4KDg5kzZw5QErHy3//+l6KiIuzs7MjOzmbnzp1kZGQwaNAgRo4cWWEw7ZMRK0ZGRmRmZqKlpUWjRo3YsmULhoaGFBQUMGXKFOLj4+nfvz/u7u5lAnJTU1MJCgpi+/btGBkZkZKSwtSpUzl+/DhHjx7l2LFj0szZrFmzpGOfOHGC2NhYQkNDMTQ0ZP78+QQFBfH5558DcO7cOSIjI2natCmFhYWsXbuWGzdu0Lp1a/bv30/Pnj0rLJSeNm/ePMaPH4+Liwu//fYbH3zwQfU+IEEQBEEjRLEkaFR9RKwUFRWxdu1azp49i1Kp5N69e1y8eJH+/fs/s48ff/yR1NRUxo4dK20rLCzk3r17JCYmMnjwYAwMDICSXlKluXYJCQkMGTJEOrabmxs+Pj7SPvr37y9Fmujo6DB69GhCQ0P5/PPP+e677/j000/VOn8KhYJLly7h7OwMlMTFlBaigiAIQv0QxZKgUfURsfLNN9+QlZVFeHg4DRo0YMmSJSovXfXr14+1a9dW+TiqPD0b5ubmhouLC3Z2dmRlZVV4PgRBEITnn1jgLdTI8xCxkp2djampKQ0aNCAtLY0jR45IrzEyMiozvnfffZcff/yRlJQUadu5c+eAkmiS77//ntzcXIqLi6X1SVASq3LgwAGpq3ZERAR9+vSpcKxNmzalT58+eHh4MGbMGGQy9W4XNjIyolOnTlLY7rlz57h06ZJarxUEQRBqh5hZEmrkeYhYGT9+PLNnz8bR0REzM7MyszgODg5ER0fj7OwsLfD+4osvWLRoEXl5eRQUFPDmm2/So0cP7O3tOXv2LMOGDaNx48ZYWlryv//9DwAbGxuSk5Nxd3cHoHv37kyfPl3leEeOHMnBgwdxcXGp0vtcu3Ytnp6efPXVV3Tq1Ik33nijimcKmv/bjJaviduUBeF5IvosvbhEnyVBeEJpNElxcTGLFi2iefPm0uL0qgoKCiIjI6PcppS1RcSdCIIgVJ2IOxGEKpg/fz63bt0iLy+Pbt26MXXq1GrtZ+jQoWhra7N9+3YNj1AQBEGoa6JYEp479RmDsmnTJo3sZ9++fc9sCw8PZ+fOnc9sX7NmDV26dNHIcQVBEOqTsrAYmc7LtxxaFEsa8CLFf9SVmsSMlDaB1ISsrCzCwsLKzBBVJT5ElaruZ9SoUWrlvqWlpTF37lz++usv2rZtW63zce/r8+g2Sqvy6wRBEGrC7NO36nsIteLlK//qwYsU/1FX6jpmpCJZWVls27atvodRJQYGBsyePRt/f//6HoogCIKAmFnSiPqK/0hOTmb58uXk5uby+PFj3NzcmDhxIrdv32bUqFEcP34cXV1dAGbNmoWtrS0uLi7s3LmTkJAQjI2NsbGxYdeuXSQmJlZ4nOzsbHx8fDh//jwymQwrKyu8vLwIDAzk6tWrZGdnc+PGDdq0acP69etJTU0tN2akPFU5B+fOnWPVqlU8evQIAwMDFi1aRI8ePbh58yYjRozA3d2dEydOkJuby6pVq7CysmLFihVkZ2fj7OxMw4YNCQ0NBUqKueDgYNLT0xk8eDBz586t7scPgFwuJyQkhIKCAqBk7VPpXXmnT59m+fLlAPTq1YsjR46wdevWCptNGhsbY2VlpfIzEQRBEOqOKJY0qK7jP1q1asWOHTvQ09MjJyeHUaNG0a9fP9q3b0/Hjh2Jj4/H3t6ezMxMEhMTWbNmDRcvXmTr1q3ExMTQtGlTvL29K31fPj4+GBgYEBMTg5aWFg8ePJAeO3/+PBERERgbGzNlyhTkcjlubm7PxIyoos450NXVZdasWaxevZrevXtz8uRJZs2axaFDhwB4+PAhlpaWzJkzh9jYWPz8/AgNDcXLy4sRI0YQExNT5ph37txh165d5OTk4ODgwMiRI3n99dcrHWtF+vbti6OjIzKZjL///puJEycSHx9Pfn4+Hh4eBAQEYGVlxQ8//MC3335b7eMIgiAIdU8US7WsNuM/8vLyWLZsGcnJychkMtLT07l48SLt27fHxcWFqKgo7O3tiYuLw87ODgMDA5KSkrCxsZGiOUaOHCk1QKzIsWPHiIyMREur5Kpt6WuhpEho1KgRAD169CA1NbXK50idc1BYWIiurq40W9OnTx90dXW5evUqhoaGGBgYSGuHLC0t8fX1VXnMQYMGoaWlhbGxMe3btyc1NbVGxdKNGzf47LPPSEtLQ0dHh3v37pGRkcH9+/fR19fHysoKgAEDBkjnSxAEQXgxiGKpltVm/EdAQACmpqasWbMGHR0dJk+eLMV8DBw4kNWrV5OZmUlUVBQLFy7U0DtSPX5VMSPq7qM6ESilxRaAlpYWhYWFVTpmdWJWnuTh4cGCBQtwcHCguLiYnj17VutcCIIgCM8fscBbw+oy/iM7O5sWLVqgo6PDpUuXOH36tPRYw4YNsbe3JyAgAIVCIc1sWFtbEx8fL11Ki4qKqvQ4tra2bN++ndL+pU9ehqvI0zEjNWVubk5BQQGnTp0CSoJtCwsLMTc3r3QceXl5lRZPNZWdnS01Mtu7dy/5+fkAtGvXjtzcXH799VcADh8+TFZWVq2ORRAEQdAsMbOkYXUZ/zF9+nTmzZtHREQE5ubmvP3222Ued3FxYezYscyePVva1rlzZz766CPc3d0xMjLinXfewdjYWOVxPD098fHxwdHREW1tbaytrVm8eLHK15QXM1ITenp6bNiwocwC7/Xr15eZUSqPiYkJTk5OODk50bhxY2mBt6Z5enoyY8YMGjduTL9+/TAxMZHG7e/vz7Jly4CSYrVZs2Yqz3lRURG2trbk5+ejUCjo378/o0aN4j//+Y/a43llcnfMRAdvQRDq2MvaZ0nEnfwDlUZ6AAQGBnL9+nX8/PzqeVQvryfP96lTp/D09OTIkSPSGjBNEnEngiAIVSfiToRn+Pv7c+bMGQoKCmjdunWddMb+Jzt06BA7duxAqVSip6eHn59frRRKgiAIQu0QxdILQNPxH+UFu164cIEFCxY8s33cuHFqdZ1WpTb3rUkff/wxd+7cKbPtypUr5V4y9fDwwMbGRq39urq64urqWu72+op1EQRBeNkoC4uQ6WjXyr7FZThBeEJ9RdccOXKE06dPl9uXKjExEV9fX7ViT0qnkvdMWEbLRv/syB1BEP5Zms8cWO3XistwglAFTzavDAkJoU+fPnVSLNnb22Nvb1/rxxEEQRCqThRLgvCE+oquiYyM5Pjx42zYsAGAdevWsX//fho1aoS1tXVdvX1BEAShHKJYEoRy1HV0zZOOHj3K0aNHiY6ORl9fn08++aT23qggCIJQKVEsCYKaajO65kmJiYkMGTJEKqxGjhxJUFBQLbwjQRAEQR2iWBIENdVmdI0gCILw/BLNXgShAnUZXfOkd955hwMHDvDo0SOKiorYu3evxo8hCIIgqE/MLAlCBeoyuuZJtra2/Pbbbzg7O0sLvNPS0tR6bensVcHAjuS3aKHRcQmCIDzPblxPRaZdvTmgu3fvAlR4BUD0WRKEl8jp06cZO3ZsfQ9DEAThhbRr1y4peP5JolgShJdIXl4e58+fx9TUFG3t2ulkKwiC8LIpKioiIyOD7t27o6+v/8zjolgShDokIk4EQRBePKJYEgRBEARBUEHcDScIgiAIgqCCKJYEQRAEQRBUEMWSIAiCIAiCCqJYEgRBEARBUEEUS4IgCIIgCCqIYkkQBEEQBEEFUSwJwkvi6tWrjB49mvfff5/Ro0dz7dq1Oj1+ZmYmU6dO5f3338fJyYmZM2fy4MEDAH777TeGDRvG+++/z+TJk7l//770OlWP1ZaNGzdiYWHBpUuXnqvxPX78mKVLlzJw4ECcnJxYsmQJoPqzrcvP/dixYwwfPhxnZ2eGDRvGoUOH6m18vr6+2NnZlfkcazIWTY+zvPGp+h2Buv0eVnT+Sj39O/K8jK+i3xGo5c9XKQjCS2H8+PHK6OhopVKpVEZHRyvHjx9fp8fPzMxUnjp1Svp5zZo1Sk9PT2VRUZHSwcFB+csvvyiVSqVy06ZNygULFiiVSqXKx2rL+fPnlVOmTFHa2toqk5OTn6vxrVy5Urlq1SplcXGxUqlUKjMyMpRKperPtq4+9+LiYqWVlZUyOTlZqVQqlRcuXFBaWloqi4qK6mV8v/zyi/L27dvS56jO8epynOWNr6LfEaVS9XetNr6HFZ0/pfLZ35HnaXwV/Y4olbX7+YpiSRBeAvfu3VO+9dZbysLCQqVSqVQWFhYq33rrLeX9+/frbUwHDx5UTpgwQfn7778rhw4dKm2/f/++0tLSUqlUKlU+VhseP36sdHNzU964cUP6j/DzMj6FQqF86623lAqFosx2VZ9tXX7uxcXFSmtra+Xp06eVSqVSmZSUpBw4cGC9j+/JP6bVHUttjrO8YqRU6e+IUqn6u1ab38Onx1fe78jzMr6KfkeUytr/PdGp0TyZIAjPhTt37mBmZiblwWlra9O8eXPu3LlD06ZN63w8xcXF7N69Gzs7O+7cucOrr74qPda0aVOKi4t5+PChysdMTEw0Pq7169czbNgwXnvtNWnb8zK+GzduYGJiwsaNG0lMTMTQ0JDZs2ejr69f4WerVCrr7HOXyWR8+eWXzJgxAwMDA3JycggODlb53avL8YHq3wNVY6nrcULZ35HSsT8P38Pyfkeel/FV9DtiZWVV699DsWZJEASNW7lyJQYGBowbN66+hyI5e/Ys58+fZ8yYMfU9lHIVFRVx48YNunbtSmRkJHPnzuU///kPjx49qu+hAVBYWMjWrVsJCgri2LFjbN68mU8//fS5Gd+LRvyOVF1FvyMKhaLWjy1mlgThJdCyZUvS0tIoKipCW1uboqIi0tPTadmyZZ2PxdfXl+vXr7Nlyxa0tLRo2bIlt2/flh5/8OABWlpamJiYqHxM03755ReuXLmCvb09AHfv3mXKlCmMHz/+uRhfy5Yt0dHRwdHRESgJWG7SpAn6+voVfrZKpbLOPvcLFy6Qnp7OW2+9BcBbb71Fw4YNadCgwXMxPlD9e6BqLHU9zqd/R0rHXt/fw4p+R1avXv1cjK+i35GrV6/y6quv1urnK2aWBOEl0KxZM7p06UJcXBwAcXFxdOnSpc4vwQUEBHD+/Hk2bdqEnp4eAN27dycvL4/Tp08DEBoayqBBgyp9TNOmTZvGTz/9xNGjRzl69CgtWrRg+/btfPTRR8/F+Jo2bUqvXr34+eefgZK7d+7fv8/rr79e4Wdbl597ixYtuHv3Ln///TcAV65c4f79+7Rt2/a5GB+o/j2o7mOaVt7vCDwfvycV/Y707dv3uRhfRb8jbdu2rfXPV6ZUKpUaf0eCINS5K1eusGDBArKysmjUqBG+vr60a9euzo6fkpKCo6Mjr7/+Ovr6+gC89tprbNq0iTNnzrB06VIeP35Mq1at+OKLL3jllVcAVD5Wm+zs7NiyZQudOnV6bsZ348YNFi5cyMOHD9HR0eHTTz/FxsZG5Wdbl597bGwsX331FTKZDIBZs2bh4OBQL+Pz9vbm0KFD3Lt3jyZNmmBiYsK+ffuqPRZNj7O88X355ZcV/o6A6u+apr+HFZ2/Jz35O/K8jK+i3xGo3c9XFEuCIAiCIAgqiMtwgiAIgiAIKohiSRAEQRAEQQVRLAmCIAiCIKggiiVBEARBEAQVRLEkCIIgCIKggiiWBEEQBI1LTEykf//+9T0MQdAIUSwJgiAIgiCoIIolQRAEQRAEFUSxJAiCIFQoODiYWbNmldnm7e2Nt7c3e/fuZfDgwfzrX//C3t6e0NDQCvdjYWHB9evXpZ8XLFjAunXrpJ+PHTuGs7MzVlZWuLu7c/HixTJj6NevH//61794//33SUhI0OA7FITKiSBdQRAEoUJDhw5l06ZNKBQKjIyMKCoq4uDBg2zcuJGHDx+ydetWWrduzS+//MLUqVN544036NatW5WO8ddff7Fw4UK2bNlC9+7diY2NZcaMGRw8eJCbN2+ya9cuIiIiMDMz4+bNmxQXF9fSuxWE8omZJUEQBKFCrVq1omvXrhw+fBiAU6dOoa+vj6WlJe+99x5t2rRBJpNhbW3Nu+++K4WpVkVYWBijR4+mZ8+eaGtr4+Ligq6uLr/99hva2trk5+dz5coVCgoKeO2112jTpo2m36YgqCRmlgRBEASVHB0diYuLY/jw4cTFxf2/9u6eNZUgDMPwYwgGwWqbEEhnY5MuaxqxEBEELfMHrKyCpPKrMm2sxH8QSCoRtEuhBoyg29iLpAoSwUpUJkRPt0XADQdOTnVfsDCzwwy8sLAPbzNKp9OSpH6/r0ajobe3N+12O223W/fS1b/x/v6uVqulh4cH993n56c+Pj4UiURUKpVUr9c1nU4VjUZVKBR0enr6z+oDfkJnCQDgKZVKaTQaaT6f6/n5WZlMRsYY3dzcKJvNajAYyHEcxWIxHbqbPRAIaLPZuPPFYuGOz87OlMvl5DiO+0wmEzeUZTIZPT4+qtvtyufz6f7+/ncLBr4hLAEAPFmWpUgkomKxqPPzc4VCIRljZIyRZVk6Pj5Wv9/XYDA4eEY4HFan09HX15deXl40Ho/dtevraz09PWkymWi/32u9XqvX62m1Wmk2m2k4HMoYI7/fr5OTEx0d8evC/8UXBwD4UTqd1uvrq9vtCQaDqlQqyufzsm1bnU5H8Xj84P5yuaxut6vLy0u1220lEgl37eLiQnd3d6pWq7JtW8lkUs1mU5JkjFGtVtPV1ZWi0aiWy6Vub29/t1jgG9/+UM8UAAAAdJYAAAC8EJYAAAA8EJYAAAA8EJYAAAA8EJYAAAA8EJYAAAA8EJYAAAA8EJYAAAA8EJYAAAA8/AFS82hBOuMfHwAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"code","source":"x_train_lgbm=x_train[featuresLgbm]\nx_cv_lgbm=x_cv[featuresLgbm]\nx_test_lgbm=x_test[featuresLgbm]","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:52:05.052365Z","iopub.execute_input":"2022-06-02T08:52:05.053011Z","iopub.status.idle":"2022-06-02T08:52:05.457752Z","shell.execute_reply.started":"2022-06-02T08:52:05.052973Z","shell.execute_reply":"2022-06-02T08:52:05.456790Z"},"trusted":true},"execution_count":56,"outputs":[]},{"cell_type":"code","source":"#x_train_lgbm,x_test_lgbm,y_train_lgbm,y_test_lgbm=train_test_split(x_train,y_train,test_size=0.3)\ndef optimize(trial):\n params={\n 'objective':'regression',\n 'num_leaves':trial.suggest_int('num_leaves',2,256),\n 'feature_fraction':trial.suggest_uniform('feature_fraction',0.4,1.0),\n 'boosting_type':'gbdt',\n 'reg_alpha':trial.suggest_uniform('alpha',1,10),\n 'reg_lambda':trial.suggest_uniform('lambda',1,10),\n 'learning_rate':trial.suggest_uniform('learning_rate',0.001,1),\n 'subsample':trial.suggest_uniform('subsample',0.5,1),\n 'n_estimators':trial.suggest_int('n_estimators',200,1000),\n 'min_data_in_leaf':trial.suggest_int('min_data_in_leaf',20,200)\n }\n model=lgb.LGBMRegressor(**params)\n model.fit(x_train_lgbm,y_train,eval_set=[(x_cv_lgbm,y_cv)],early_stopping_rounds=30)\n pred=model.predict(x_cv_lgbm)\n rmse=mean_squared_error(pred,y_cv)\n return rmse\nstudy=optuna.create_study(direction='minimize')\nstudy.optimize(optimize,n_trials=10)\nprint('Best Trail: ',study.best_trial.params)","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2022-06-02T08:52:54.103381Z","iopub.execute_input":"2022-06-02T08:52:54.103716Z","iopub.status.idle":"2022-06-02T08:57:10.290669Z","shell.execute_reply.started":"2022-06-02T08:52:54.103667Z","shell.execute_reply":"2022-06-02T08:57:10.289784Z"},"trusted":true},"execution_count":57,"outputs":[{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:52:54,108]\u001b[0m A new study created in memory with name: no-name-fe0fc650-9b10-4d3a-b895-b77d227d68d5\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[LightGBM] [Warning] feature_fraction is set=0.9102203178665861, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.9102203178665861\n[LightGBM] [Warning] min_data_in_leaf is set=142, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=142\n[1]\tvalid_0's l2: 0.972403\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 0.970208\n[3]\tvalid_0's l2: 0.971736\n[4]\tvalid_0's l2: 0.965238\n[5]\tvalid_0's l2: 0.963101\n[6]\tvalid_0's l2: 0.971144\n[7]\tvalid_0's l2: 0.969602\n[8]\tvalid_0's l2: 0.970277\n[9]\tvalid_0's l2: 0.968177\n[10]\tvalid_0's l2: 0.973934\n[11]\tvalid_0's l2: 0.972653\n[12]\tvalid_0's l2: 0.994125\n[13]\tvalid_0's l2: 1.00178\n[14]\tvalid_0's l2: 1.00204\n[15]\tvalid_0's l2: 0.999461\n[16]\tvalid_0's l2: 0.996569\n[17]\tvalid_0's l2: 0.996582\n[18]\tvalid_0's l2: 0.99582\n[19]\tvalid_0's l2: 1.00349\n[20]\tvalid_0's l2: 1.00228\n[21]\tvalid_0's l2: 1.00329\n[22]\tvalid_0's l2: 1.02857\n[23]\tvalid_0's l2: 1.02858\n[24]\tvalid_0's l2: 1.03122\n[25]\tvalid_0's l2: 1.02977\n[26]\tvalid_0's l2: 1.02616\n[27]\tvalid_0's l2: 1.02711\n[28]\tvalid_0's l2: 1.02597\n[29]\tvalid_0's l2: 1.0799\n[30]\tvalid_0's l2: 1.07955\n[31]\tvalid_0's l2: 1.0807\n[32]\tvalid_0's l2: 1.08078\n[33]\tvalid_0's l2: 1.08005\n[34]\tvalid_0's l2: 1.07989\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:53:11,230]\u001b[0m Trial 0 finished with value: 0.9631008540896839 and parameters: {'num_leaves': 224, 'feature_fraction': 0.9102203178665861, 'alpha': 3.996880924517897, 'lambda': 5.846674031958002, 'learning_rate': 0.866560353016595, 'subsample': 0.679832750946725, 'n_estimators': 562, 'min_data_in_leaf': 142}. Best is trial 0 with value: 0.9631008540896839.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[35]\tvalid_0's l2: 1.07982\nEarly stopping, best iteration is:\n[5]\tvalid_0's l2: 0.963101\n[LightGBM] [Warning] feature_fraction is set=0.7454275976957052, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.7454275976957052\n[LightGBM] [Warning] min_data_in_leaf is set=190, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=190\n[1]\tvalid_0's l2: 1.20191\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 1.13364\n[3]\tvalid_0's l2: 1.07946\n[4]\tvalid_0's l2: 1.0453\n[5]\tvalid_0's l2: 1.01273\n[6]\tvalid_0's l2: 0.996017\n[7]\tvalid_0's l2: 0.974551\n[8]\tvalid_0's l2: 0.954498\n[9]\tvalid_0's l2: 0.938911\n[10]\tvalid_0's l2: 0.925632\n[11]\tvalid_0's l2: 0.916351\n[12]\tvalid_0's l2: 0.908513\n[13]\tvalid_0's l2: 0.902315\n[14]\tvalid_0's l2: 0.897798\n[15]\tvalid_0's l2: 0.894903\n[16]\tvalid_0's l2: 0.891604\n[17]\tvalid_0's l2: 0.88681\n[18]\tvalid_0's l2: 0.887867\n[19]\tvalid_0's l2: 0.885622\n[20]\tvalid_0's l2: 0.883912\n[21]\tvalid_0's l2: 0.883232\n[22]\tvalid_0's l2: 0.886163\n[23]\tvalid_0's l2: 0.884985\n[24]\tvalid_0's l2: 0.882824\n[25]\tvalid_0's l2: 0.882499\n[26]\tvalid_0's l2: 0.881551\n[27]\tvalid_0's l2: 0.880901\n[28]\tvalid_0's l2: 0.880238\n[29]\tvalid_0's l2: 0.879559\n[30]\tvalid_0's l2: 0.878465\n[31]\tvalid_0's l2: 0.877818\n[32]\tvalid_0's l2: 0.877153\n[33]\tvalid_0's l2: 0.877071\n[34]\tvalid_0's l2: 0.878122\n[35]\tvalid_0's l2: 0.877775\n[36]\tvalid_0's l2: 0.877279\n[37]\tvalid_0's l2: 0.877827\n[38]\tvalid_0's l2: 0.877896\n[39]\tvalid_0's l2: 0.877795\n[40]\tvalid_0's l2: 0.87779\n[41]\tvalid_0's l2: 0.877617\n[42]\tvalid_0's l2: 0.877178\n[43]\tvalid_0's l2: 0.876903\n[44]\tvalid_0's l2: 0.877643\n[45]\tvalid_0's l2: 0.877991\n[46]\tvalid_0's l2: 0.877873\n[47]\tvalid_0's l2: 0.877622\n[48]\tvalid_0's l2: 0.876938\n[49]\tvalid_0's l2: 0.877701\n[50]\tvalid_0's l2: 0.877584\n[51]\tvalid_0's l2: 0.877389\n[52]\tvalid_0's l2: 0.876904\n[53]\tvalid_0's l2: 0.876699\n[54]\tvalid_0's l2: 0.876598\n[55]\tvalid_0's l2: 0.876105\n[56]\tvalid_0's l2: 0.875717\n[57]\tvalid_0's l2: 0.875908\n[58]\tvalid_0's l2: 0.875898\n[59]\tvalid_0's l2: 0.875681\n[60]\tvalid_0's l2: 0.876015\n[61]\tvalid_0's l2: 0.875548\n[62]\tvalid_0's l2: 0.875346\n[63]\tvalid_0's l2: 0.87506\n[64]\tvalid_0's l2: 0.880141\n[65]\tvalid_0's l2: 0.879919\n[66]\tvalid_0's l2: 0.881039\n[67]\tvalid_0's l2: 0.88091\n[68]\tvalid_0's l2: 0.881529\n[69]\tvalid_0's l2: 0.881162\n[70]\tvalid_0's l2: 0.88078\n[71]\tvalid_0's l2: 0.880762\n[72]\tvalid_0's l2: 0.881328\n[73]\tvalid_0's l2: 0.878195\n[74]\tvalid_0's l2: 0.880276\n[75]\tvalid_0's l2: 0.880079\n[76]\tvalid_0's l2: 0.87866\n[77]\tvalid_0's l2: 0.878194\n[78]\tvalid_0's l2: 0.877595\n[79]\tvalid_0's l2: 0.879907\n[80]\tvalid_0's l2: 0.880093\n[81]\tvalid_0's l2: 0.879935\n[82]\tvalid_0's l2: 0.879396\n[83]\tvalid_0's l2: 0.87951\n[84]\tvalid_0's l2: 0.879322\n[85]\tvalid_0's l2: 0.879314\n[86]\tvalid_0's l2: 0.879631\n[87]\tvalid_0's l2: 0.87958\n[88]\tvalid_0's l2: 0.879713\n[89]\tvalid_0's l2: 0.879575\n[90]\tvalid_0's l2: 0.879606\n[91]\tvalid_0's l2: 0.879552\n[92]\tvalid_0's l2: 0.883556\n[93]\tvalid_0's l2: 0.883389\nEarly stopping, best iteration is:\n[63]\tvalid_0's l2: 0.87506\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:53:51,215]\u001b[0m Trial 1 finished with value: 0.8750602362861951 and parameters: {'num_leaves': 130, 'feature_fraction': 0.7454275976957052, 'alpha': 6.359645121324666, 'lambda': 9.156457861179456, 'learning_rate': 0.10951433640280277, 'subsample': 0.7040815219507084, 'n_estimators': 717, 'min_data_in_leaf': 190}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[LightGBM] [Warning] feature_fraction is set=0.5292216805806753, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5292216805806753\n[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33\n[1]\tvalid_0's l2: 0.994705\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 1.03327\n[3]\tvalid_0's l2: 1.04375\n[4]\tvalid_0's l2: 1.02898\n[5]\tvalid_0's l2: 1.02363\n[6]\tvalid_0's l2: 1.02119\n[7]\tvalid_0's l2: 1.01709\n[8]\tvalid_0's l2: 1.0173\n[9]\tvalid_0's l2: 1.0124\n[10]\tvalid_0's l2: 1.03684\n[11]\tvalid_0's l2: 1.03823\n[12]\tvalid_0's l2: 1.04329\n[13]\tvalid_0's l2: 1.04429\n[14]\tvalid_0's l2: 1.04665\n[15]\tvalid_0's l2: 1.05028\n[16]\tvalid_0's l2: 1.04802\n[17]\tvalid_0's l2: 1.04818\n[18]\tvalid_0's l2: 1.04513\n[19]\tvalid_0's l2: 1.04551\n[20]\tvalid_0's l2: 1.047\n[21]\tvalid_0's l2: 1.04714\n[22]\tvalid_0's l2: 1.04755\n[23]\tvalid_0's l2: 1.04735\n[24]\tvalid_0's l2: 1.03443\n[25]\tvalid_0's l2: 1.0344\n[26]\tvalid_0's l2: 1.03599\n[27]\tvalid_0's l2: 1.03583\n[28]\tvalid_0's l2: 1.03595\n[29]\tvalid_0's l2: 1.02366\n[30]\tvalid_0's l2: 1.02204\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:54:09,751]\u001b[0m Trial 2 finished with value: 0.9947045280640638 and parameters: {'num_leaves': 249, 'feature_fraction': 0.5292216805806753, 'alpha': 1.9336963912339238, 'lambda': 5.25865683651941, 'learning_rate': 0.9215607548187419, 'subsample': 0.9408304893605361, 'n_estimators': 723, 'min_data_in_leaf': 33}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[31]\tvalid_0's l2: 1.02144\nEarly stopping, best iteration is:\n[1]\tvalid_0's l2: 0.994705\n[LightGBM] [Warning] feature_fraction is set=0.5968579579775428, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5968579579775428\n[LightGBM] [Warning] min_data_in_leaf is set=98, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=98\n[1]\tvalid_0's l2: 0.977172\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 0.968616\n[3]\tvalid_0's l2: 0.968485\n[4]\tvalid_0's l2: 0.962483\n[5]\tvalid_0's l2: 0.960139\n[6]\tvalid_0's l2: 0.962693\n[7]\tvalid_0's l2: 0.96082\n[8]\tvalid_0's l2: 0.974497\n[9]\tvalid_0's l2: 0.973253\n[10]\tvalid_0's l2: 0.972131\n[11]\tvalid_0's l2: 0.968583\n[12]\tvalid_0's l2: 0.974582\n[13]\tvalid_0's l2: 0.973634\n[14]\tvalid_0's l2: 0.971765\n[15]\tvalid_0's l2: 0.975925\n[16]\tvalid_0's l2: 0.978866\n[17]\tvalid_0's l2: 0.984165\n[18]\tvalid_0's l2: 0.986456\n[19]\tvalid_0's l2: 0.972289\n[20]\tvalid_0's l2: 0.964962\n[21]\tvalid_0's l2: 0.964349\n[22]\tvalid_0's l2: 0.969214\n[23]\tvalid_0's l2: 0.968586\n[24]\tvalid_0's l2: 0.96902\n[25]\tvalid_0's l2: 0.967084\n[26]\tvalid_0's l2: 0.966492\n[27]\tvalid_0's l2: 0.968832\n[28]\tvalid_0's l2: 0.953124\n[29]\tvalid_0's l2: 0.953323\n[30]\tvalid_0's l2: 0.95341\n[31]\tvalid_0's l2: 0.947037\n[32]\tvalid_0's l2: 0.946965\n[33]\tvalid_0's l2: 0.9487\n[34]\tvalid_0's l2: 0.955344\n[35]\tvalid_0's l2: 0.953638\n[36]\tvalid_0's l2: 0.954892\n[37]\tvalid_0's l2: 0.953625\n[38]\tvalid_0's l2: 0.956807\n[39]\tvalid_0's l2: 0.955462\n[40]\tvalid_0's l2: 0.956294\n[41]\tvalid_0's l2: 0.956595\n[42]\tvalid_0's l2: 0.957393\n[43]\tvalid_0's l2: 0.956647\n[44]\tvalid_0's l2: 0.956619\n[45]\tvalid_0's l2: 0.955511\n[46]\tvalid_0's l2: 0.95917\n[47]\tvalid_0's l2: 0.959216\n[48]\tvalid_0's l2: 0.959095\n[49]\tvalid_0's l2: 0.959876\n[50]\tvalid_0's l2: 0.960512\n[51]\tvalid_0's l2: 0.960421\n[52]\tvalid_0's l2: 0.959837\n[53]\tvalid_0's l2: 0.959778\n[54]\tvalid_0's l2: 0.959788\n[55]\tvalid_0's l2: 0.95774\n[56]\tvalid_0's l2: 0.95787\n[57]\tvalid_0's l2: 0.957937\n[58]\tvalid_0's l2: 0.956977\n[59]\tvalid_0's l2: 0.957054\n[60]\tvalid_0's l2: 0.957617\n[61]\tvalid_0's l2: 0.95911\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:54:33,228]\u001b[0m Trial 3 finished with value: 0.9469650557340977 and parameters: {'num_leaves': 120, 'feature_fraction': 0.5968579579775428, 'alpha': 3.713861555731498, 'lambda': 5.493641685961967, 'learning_rate': 0.7758498892437286, 'subsample': 0.7498461572632822, 'n_estimators': 209, 'min_data_in_leaf': 98}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[62]\tvalid_0's l2: 0.959375\nEarly stopping, best iteration is:\n[32]\tvalid_0's l2: 0.946965\n[LightGBM] [Warning] feature_fraction is set=0.9540490660433252, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.9540490660433252\n[LightGBM] [Warning] min_data_in_leaf is set=107, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=107\n[1]\tvalid_0's l2: 0.956844\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 0.908076\n[3]\tvalid_0's l2: 0.905727\n[4]\tvalid_0's l2: 0.899157\n[5]\tvalid_0's l2: 0.891824\n[6]\tvalid_0's l2: 0.891818\n[7]\tvalid_0's l2: 0.918196\n[8]\tvalid_0's l2: 0.917572\n[9]\tvalid_0's l2: 0.915554\n[10]\tvalid_0's l2: 0.916916\n[11]\tvalid_0's l2: 0.912245\n[12]\tvalid_0's l2: 0.912917\n[13]\tvalid_0's l2: 0.911858\n[14]\tvalid_0's l2: 0.917131\n[15]\tvalid_0's l2: 1.02226\n[16]\tvalid_0's l2: 1.02176\n[17]\tvalid_0's l2: 1.01579\n[18]\tvalid_0's l2: 1.01453\n[19]\tvalid_0's l2: 1.01504\n[20]\tvalid_0's l2: 1.01473\n[21]\tvalid_0's l2: 1.01396\n[22]\tvalid_0's l2: 1.01312\n[23]\tvalid_0's l2: 1.00959\n[24]\tvalid_0's l2: 1.01473\n[25]\tvalid_0's l2: 1.02351\n[26]\tvalid_0's l2: 1.02351\n[27]\tvalid_0's l2: 1.02221\n[28]\tvalid_0's l2: 1.02213\n[29]\tvalid_0's l2: 1.0179\n[30]\tvalid_0's l2: 1.01748\n[31]\tvalid_0's l2: 1.01722\n[32]\tvalid_0's l2: 1.01752\n[33]\tvalid_0's l2: 1.01791\n[34]\tvalid_0's l2: 1.01805\n[35]\tvalid_0's l2: 1.01752\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:54:48,589]\u001b[0m Trial 4 finished with value: 0.8918175226515949 and parameters: {'num_leaves': 108, 'feature_fraction': 0.9540490660433252, 'alpha': 3.5610786666805136, 'lambda': 5.8145704357205386, 'learning_rate': 0.6010592409499158, 'subsample': 0.5405191216830405, 'n_estimators': 427, 'min_data_in_leaf': 107}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[36]\tvalid_0's l2: 1.01818\nEarly stopping, best iteration is:\n[6]\tvalid_0's l2: 0.891818\n[LightGBM] [Warning] feature_fraction is set=0.5428808129882927, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5428808129882927\n[LightGBM] [Warning] min_data_in_leaf is set=96, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=96\n[1]\tvalid_0's l2: 0.997663\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 0.951455\n[3]\tvalid_0's l2: 0.950096\n[4]\tvalid_0's l2: 0.936599\n[5]\tvalid_0's l2: 0.933746\n[6]\tvalid_0's l2: 0.926375\n[7]\tvalid_0's l2: 0.927686\n[8]\tvalid_0's l2: 0.929771\n[9]\tvalid_0's l2: 0.933441\n[10]\tvalid_0's l2: 0.935014\n[11]\tvalid_0's l2: 0.929679\n[12]\tvalid_0's l2: 0.930278\n[13]\tvalid_0's l2: 0.930305\n[14]\tvalid_0's l2: 0.955169\n[15]\tvalid_0's l2: 0.956218\n[16]\tvalid_0's l2: 0.956158\n[17]\tvalid_0's l2: 0.960795\n[18]\tvalid_0's l2: 0.9591\n[19]\tvalid_0's l2: 0.958362\n[20]\tvalid_0's l2: 0.955822\n[21]\tvalid_0's l2: 0.954689\n[22]\tvalid_0's l2: 0.959224\n[23]\tvalid_0's l2: 0.955752\n[24]\tvalid_0's l2: 0.949572\n[25]\tvalid_0's l2: 0.948977\n[26]\tvalid_0's l2: 0.947841\n[27]\tvalid_0's l2: 0.950124\n[28]\tvalid_0's l2: 0.952002\n[29]\tvalid_0's l2: 0.952266\n[30]\tvalid_0's l2: 0.953804\n[31]\tvalid_0's l2: 0.952892\n[32]\tvalid_0's l2: 0.955718\n[33]\tvalid_0's l2: 0.958202\n[34]\tvalid_0's l2: 0.95917\n[35]\tvalid_0's l2: 0.958653\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:55:05,130]\u001b[0m Trial 5 finished with value: 0.9263750057958984 and parameters: {'num_leaves': 113, 'feature_fraction': 0.5428808129882927, 'alpha': 8.890006558560103, 'lambda': 5.880046000468369, 'learning_rate': 0.6146925872258462, 'subsample': 0.5878835922740436, 'n_estimators': 365, 'min_data_in_leaf': 96}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[36]\tvalid_0's l2: 0.960647\nEarly stopping, best iteration is:\n[6]\tvalid_0's l2: 0.926375\n[LightGBM] [Warning] feature_fraction is set=0.5507256392112124, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.5507256392112124\n[LightGBM] [Warning] min_data_in_leaf is set=36, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=36\n[1]\tvalid_0's l2: 1.11862\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 1.03633\n[3]\tvalid_0's l2: 0.98926\n[4]\tvalid_0's l2: 0.948704\n[5]\tvalid_0's l2: 0.913819\n[6]\tvalid_0's l2: 0.907927\n[7]\tvalid_0's l2: 0.897297\n[8]\tvalid_0's l2: 0.90089\n[9]\tvalid_0's l2: 0.896666\n[10]\tvalid_0's l2: 0.896928\n[11]\tvalid_0's l2: 0.894733\n[12]\tvalid_0's l2: 0.894425\n[13]\tvalid_0's l2: 0.895255\n[14]\tvalid_0's l2: 0.896618\n[15]\tvalid_0's l2: 0.900647\n[16]\tvalid_0's l2: 0.900429\n[17]\tvalid_0's l2: 0.906069\n[18]\tvalid_0's l2: 0.913742\n[19]\tvalid_0's l2: 0.913784\n[20]\tvalid_0's l2: 0.911953\n[21]\tvalid_0's l2: 0.910463\n[22]\tvalid_0's l2: 0.910561\n[23]\tvalid_0's l2: 0.907841\n[24]\tvalid_0's l2: 0.899767\n[25]\tvalid_0's l2: 0.898715\n[26]\tvalid_0's l2: 0.898331\n[27]\tvalid_0's l2: 0.898069\n[28]\tvalid_0's l2: 0.88843\n[29]\tvalid_0's l2: 0.886885\n[30]\tvalid_0's l2: 0.889828\n[31]\tvalid_0's l2: 0.889422\n[32]\tvalid_0's l2: 0.890094\n[33]\tvalid_0's l2: 0.889215\n[34]\tvalid_0's l2: 0.88932\n[35]\tvalid_0's l2: 0.889541\n[36]\tvalid_0's l2: 0.889347\n[37]\tvalid_0's l2: 0.892003\n[38]\tvalid_0's l2: 0.892299\n[39]\tvalid_0's l2: 0.892395\n[40]\tvalid_0's l2: 0.892559\n[41]\tvalid_0's l2: 0.892581\n[42]\tvalid_0's l2: 0.892435\n[43]\tvalid_0's l2: 0.892227\n[44]\tvalid_0's l2: 0.891296\n[45]\tvalid_0's l2: 0.891623\n[46]\tvalid_0's l2: 0.892049\n[47]\tvalid_0's l2: 0.8848\n[48]\tvalid_0's l2: 0.884241\n[49]\tvalid_0's l2: 0.885107\n[50]\tvalid_0's l2: 0.885575\n[51]\tvalid_0's l2: 0.885916\n[52]\tvalid_0's l2: 0.884838\n[53]\tvalid_0's l2: 0.883696\n[54]\tvalid_0's l2: 0.883686\n[55]\tvalid_0's l2: 0.8842\n[56]\tvalid_0's l2: 0.884869\n[57]\tvalid_0's l2: 0.89721\n[58]\tvalid_0's l2: 0.897202\n[59]\tvalid_0's l2: 0.897345\n[60]\tvalid_0's l2: 0.898385\n[61]\tvalid_0's l2: 0.89819\n[62]\tvalid_0's l2: 0.896712\n[63]\tvalid_0's l2: 0.897214\n[64]\tvalid_0's l2: 0.897251\n[65]\tvalid_0's l2: 0.897605\n[66]\tvalid_0's l2: 0.897492\n[67]\tvalid_0's l2: 0.896538\n[68]\tvalid_0's l2: 0.895725\n[69]\tvalid_0's l2: 0.895803\n[70]\tvalid_0's l2: 0.895801\n[71]\tvalid_0's l2: 0.895773\n[72]\tvalid_0's l2: 0.89558\n[73]\tvalid_0's l2: 0.899212\n[74]\tvalid_0's l2: 0.899088\n[75]\tvalid_0's l2: 0.898686\n[76]\tvalid_0's l2: 0.899097\n[77]\tvalid_0's l2: 0.899118\n[78]\tvalid_0's l2: 0.899217\n[79]\tvalid_0's l2: 0.899793\n[80]\tvalid_0's l2: 0.899737\n[81]\tvalid_0's l2: 0.899725\n[82]\tvalid_0's l2: 0.89669\n[83]\tvalid_0's l2: 0.896477\n[84]\tvalid_0's l2: 0.89364\nEarly stopping, best iteration is:\n[54]\tvalid_0's l2: 0.883686\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:55:37,869]\u001b[0m Trial 6 finished with value: 0.8836858063014148 and parameters: {'num_leaves': 163, 'feature_fraction': 0.5507256392112124, 'alpha': 8.644303544761698, 'lambda': 6.960281615141806, 'learning_rate': 0.2708795447705174, 'subsample': 0.7183056898540603, 'n_estimators': 582, 'min_data_in_leaf': 36}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[LightGBM] [Warning] feature_fraction is set=0.7448570099238562, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.7448570099238562\n[LightGBM] [Warning] min_data_in_leaf is set=45, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=45\n[1]\tvalid_0's l2: 1.2433\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 1.20132\n[3]\tvalid_0's l2: 1.16491\n[4]\tvalid_0's l2: 1.13849\n[5]\tvalid_0's l2: 1.1118\n[6]\tvalid_0's l2: 1.09744\n[7]\tvalid_0's l2: 1.07575\n[8]\tvalid_0's l2: 1.05217\n[9]\tvalid_0's l2: 1.03338\n[10]\tvalid_0's l2: 1.01529\n[11]\tvalid_0's l2: 0.998577\n[12]\tvalid_0's l2: 0.985407\n[13]\tvalid_0's l2: 0.975082\n[14]\tvalid_0's l2: 0.965678\n[15]\tvalid_0's l2: 0.954899\n[16]\tvalid_0's l2: 0.947618\n[17]\tvalid_0's l2: 0.940121\n[18]\tvalid_0's l2: 0.931668\n[19]\tvalid_0's l2: 0.925681\n[20]\tvalid_0's l2: 0.919718\n[21]\tvalid_0's l2: 0.916203\n[22]\tvalid_0's l2: 0.912432\n[23]\tvalid_0's l2: 0.910084\n[24]\tvalid_0's l2: 0.907362\n[25]\tvalid_0's l2: 0.904067\n[26]\tvalid_0's l2: 0.900833\n[27]\tvalid_0's l2: 0.898751\n[28]\tvalid_0's l2: 0.897557\n[29]\tvalid_0's l2: 0.896674\n[30]\tvalid_0's l2: 0.895816\n[31]\tvalid_0's l2: 0.894482\n[32]\tvalid_0's l2: 0.893516\n[33]\tvalid_0's l2: 0.894734\n[34]\tvalid_0's l2: 0.896185\n[35]\tvalid_0's l2: 0.894735\n[36]\tvalid_0's l2: 0.893623\n[37]\tvalid_0's l2: 0.892855\n[38]\tvalid_0's l2: 0.892146\n[39]\tvalid_0's l2: 0.891281\n[40]\tvalid_0's l2: 0.890494\n[41]\tvalid_0's l2: 0.891792\n[42]\tvalid_0's l2: 0.892643\n[43]\tvalid_0's l2: 0.891323\n[44]\tvalid_0's l2: 0.89074\n[45]\tvalid_0's l2: 0.889883\n[46]\tvalid_0's l2: 0.889401\n[47]\tvalid_0's l2: 0.889085\n[48]\tvalid_0's l2: 0.888296\n[49]\tvalid_0's l2: 0.887193\n[50]\tvalid_0's l2: 0.886631\n[51]\tvalid_0's l2: 0.886172\n[52]\tvalid_0's l2: 0.885887\n[53]\tvalid_0's l2: 0.885599\n[54]\tvalid_0's l2: 0.884993\n[55]\tvalid_0's l2: 0.88517\n[56]\tvalid_0's l2: 0.884857\n[57]\tvalid_0's l2: 0.884633\n[58]\tvalid_0's l2: 0.884359\n[59]\tvalid_0's l2: 0.885482\n[60]\tvalid_0's l2: 0.886019\n[61]\tvalid_0's l2: 0.885781\n[62]\tvalid_0's l2: 0.885649\n[63]\tvalid_0's l2: 0.888665\n[64]\tvalid_0's l2: 0.889175\n[65]\tvalid_0's l2: 0.888784\n[66]\tvalid_0's l2: 0.888209\n[67]\tvalid_0's l2: 0.888202\n[68]\tvalid_0's l2: 0.887754\n[69]\tvalid_0's l2: 0.889866\n[70]\tvalid_0's l2: 0.89027\n[71]\tvalid_0's l2: 0.890769\n[72]\tvalid_0's l2: 0.890608\n[73]\tvalid_0's l2: 0.890579\n[74]\tvalid_0's l2: 0.890808\n[75]\tvalid_0's l2: 0.890755\n[76]\tvalid_0's l2: 0.891072\n[77]\tvalid_0's l2: 0.891056\n[78]\tvalid_0's l2: 0.891317\n[79]\tvalid_0's l2: 0.89115\n[80]\tvalid_0's l2: 0.891353\n[81]\tvalid_0's l2: 0.891168\n[82]\tvalid_0's l2: 0.890899\n[83]\tvalid_0's l2: 0.890678\n[84]\tvalid_0's l2: 0.89096\n[85]\tvalid_0's l2: 0.890853\n[86]\tvalid_0's l2: 0.890848\n[87]\tvalid_0's l2: 0.890624\n[88]\tvalid_0's l2: 0.890272\nEarly stopping, best iteration is:\n[58]\tvalid_0's l2: 0.884359\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:56:15,538]\u001b[0m Trial 7 finished with value: 0.8843588366874461 and parameters: {'num_leaves': 108, 'feature_fraction': 0.7448570099238562, 'alpha': 1.601471298791404, 'lambda': 8.737681215894316, 'learning_rate': 0.05664995661757699, 'subsample': 0.7694103785509377, 'n_estimators': 710, 'min_data_in_leaf': 45}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[LightGBM] [Warning] feature_fraction is set=0.4686694022827363, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.4686694022827363\n[LightGBM] [Warning] min_data_in_leaf is set=68, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=68\n[1]\tvalid_0's l2: 1.043\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 0.962792\n[3]\tvalid_0's l2: 0.952292\n[4]\tvalid_0's l2: 0.926211\n[5]\tvalid_0's l2: 0.90971\n[6]\tvalid_0's l2: 0.908147\n[7]\tvalid_0's l2: 0.903789\n[8]\tvalid_0's l2: 0.936951\n[9]\tvalid_0's l2: 0.928376\n[10]\tvalid_0's l2: 0.930711\n[11]\tvalid_0's l2: 0.929748\n[12]\tvalid_0's l2: 0.933541\n[13]\tvalid_0's l2: 0.935972\n[14]\tvalid_0's l2: 0.937134\n[15]\tvalid_0's l2: 0.941869\n[16]\tvalid_0's l2: 0.944118\n[17]\tvalid_0's l2: 0.943211\n[18]\tvalid_0's l2: 0.944274\n[19]\tvalid_0's l2: 0.971482\n[20]\tvalid_0's l2: 0.971616\n[21]\tvalid_0's l2: 0.971617\n[22]\tvalid_0's l2: 0.975361\n[23]\tvalid_0's l2: 0.976784\n[24]\tvalid_0's l2: 0.976603\n[25]\tvalid_0's l2: 0.9759\n[26]\tvalid_0's l2: 0.975514\n[27]\tvalid_0's l2: 0.98026\n[28]\tvalid_0's l2: 0.97556\n[29]\tvalid_0's l2: 0.977003\n[30]\tvalid_0's l2: 0.977489\n[31]\tvalid_0's l2: 0.977896\n[32]\tvalid_0's l2: 0.978525\n[33]\tvalid_0's l2: 0.97719\n[34]\tvalid_0's l2: 0.975269\n[35]\tvalid_0's l2: 0.975342\n[36]\tvalid_0's l2: 0.972563\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:56:33,561]\u001b[0m Trial 8 finished with value: 0.9037889391854311 and parameters: {'num_leaves': 171, 'feature_fraction': 0.4686694022827363, 'alpha': 4.195235883477049, 'lambda': 9.83212388030402, 'learning_rate': 0.44667951908786035, 'subsample': 0.8803492246911766, 'n_estimators': 248, 'min_data_in_leaf': 68}. Best is trial 1 with value: 0.8750602362861951.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"[37]\tvalid_0's l2: 0.970698\nEarly stopping, best iteration is:\n[7]\tvalid_0's l2: 0.903789\n[LightGBM] [Warning] feature_fraction is set=0.8090043739141928, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8090043739141928\n[LightGBM] [Warning] min_data_in_leaf is set=194, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=194\n[1]\tvalid_0's l2: 1.21717\nTraining until validation scores don't improve for 30 rounds\n[2]\tvalid_0's l2: 1.15741\n[3]\tvalid_0's l2: 1.10954\n[4]\tvalid_0's l2: 1.07509\n[5]\tvalid_0's l2: 1.04315\n[6]\tvalid_0's l2: 1.02376\n[7]\tvalid_0's l2: 1.0028\n[8]\tvalid_0's l2: 0.980399\n[9]\tvalid_0's l2: 0.963368\n[10]\tvalid_0's l2: 0.947227\n[11]\tvalid_0's l2: 0.93414\n[12]\tvalid_0's l2: 0.925416\n[13]\tvalid_0's l2: 0.917877\n[14]\tvalid_0's l2: 0.91103\n[15]\tvalid_0's l2: 0.905008\n[16]\tvalid_0's l2: 0.900753\n[17]\tvalid_0's l2: 0.895205\n[18]\tvalid_0's l2: 0.891027\n[19]\tvalid_0's l2: 0.88722\n[20]\tvalid_0's l2: 0.884073\n[21]\tvalid_0's l2: 0.882542\n[22]\tvalid_0's l2: 0.881883\n[23]\tvalid_0's l2: 0.88096\n[24]\tvalid_0's l2: 0.882051\n[25]\tvalid_0's l2: 0.881686\n[26]\tvalid_0's l2: 0.879948\n[27]\tvalid_0's l2: 0.878743\n[28]\tvalid_0's l2: 0.878873\n[29]\tvalid_0's l2: 0.877722\n[30]\tvalid_0's l2: 0.877031\n[31]\tvalid_0's l2: 0.873893\n[32]\tvalid_0's l2: 0.8731\n[33]\tvalid_0's l2: 0.874335\n[34]\tvalid_0's l2: 0.875042\n[35]\tvalid_0's l2: 0.874569\n[36]\tvalid_0's l2: 0.873649\n[37]\tvalid_0's l2: 0.87346\n[38]\tvalid_0's l2: 0.873781\n[39]\tvalid_0's l2: 0.873296\n[40]\tvalid_0's l2: 0.872856\n[41]\tvalid_0's l2: 0.872614\n[42]\tvalid_0's l2: 0.872431\n[43]\tvalid_0's l2: 0.872191\n[44]\tvalid_0's l2: 0.870676\n[45]\tvalid_0's l2: 0.86997\n[46]\tvalid_0's l2: 0.869711\n[47]\tvalid_0's l2: 0.869313\n[48]\tvalid_0's l2: 0.869326\n[49]\tvalid_0's l2: 0.868823\n[50]\tvalid_0's l2: 0.868629\n[51]\tvalid_0's l2: 0.869576\n[52]\tvalid_0's l2: 0.869271\n[53]\tvalid_0's l2: 0.86949\n[54]\tvalid_0's l2: 0.869616\n[55]\tvalid_0's l2: 0.869614\n[56]\tvalid_0's l2: 0.869421\n[57]\tvalid_0's l2: 0.87098\n[58]\tvalid_0's l2: 0.874341\n[59]\tvalid_0's l2: 0.874316\n[60]\tvalid_0's l2: 0.874328\n[61]\tvalid_0's l2: 0.87537\n[62]\tvalid_0's l2: 0.875101\n[63]\tvalid_0's l2: 0.875502\n[64]\tvalid_0's l2: 0.876237\n[65]\tvalid_0's l2: 0.875942\n[66]\tvalid_0's l2: 0.877103\n[67]\tvalid_0's l2: 0.877183\n[68]\tvalid_0's l2: 0.877146\n[69]\tvalid_0's l2: 0.877895\n[70]\tvalid_0's l2: 0.877841\n[71]\tvalid_0's l2: 0.878101\n[72]\tvalid_0's l2: 0.877957\n[73]\tvalid_0's l2: 0.877726\n[74]\tvalid_0's l2: 0.877647\n[75]\tvalid_0's l2: 0.877268\n[76]\tvalid_0's l2: 0.877483\n[77]\tvalid_0's l2: 0.877425\n[78]\tvalid_0's l2: 0.876827\n[79]\tvalid_0's l2: 0.876873\n[80]\tvalid_0's l2: 0.876733\nEarly stopping, best iteration is:\n[50]\tvalid_0's l2: 0.868629\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 08:57:10,286]\u001b[0m Trial 9 finished with value: 0.8686287665692258 and parameters: {'num_leaves': 167, 'feature_fraction': 0.8090043739141928, 'alpha': 7.530721686244508, 'lambda': 4.184295547505293, 'learning_rate': 0.08630422292011555, 'subsample': 0.9145396974096048, 'n_estimators': 447, 'min_data_in_leaf': 194}. Best is trial 9 with value: 0.8686287665692258.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"Best Trail: {'num_leaves': 167, 'feature_fraction': 0.8090043739141928, 'alpha': 7.530721686244508, 'lambda': 4.184295547505293, 'learning_rate': 0.08630422292011555, 'subsample': 0.9145396974096048, 'n_estimators': 447, 'min_data_in_leaf': 194}\n","output_type":"stream"}]},{"cell_type":"code","source":"lgbrEstimator=lgb.LGBMRegressor(**study.best_trial.params)\nlgbrEstimator.fit(x_train_lgbm,y_train)\npredLgbmCV=lgbrEstimator.predict(x_cv_lgbm)\nprint(mean_squared_error(predLgbmCV,y_cv))\npredLgbTest=lgbrEstimator.predict(x_test_lgbm)\npredLgbTest=predLgbTest.clip(0,20)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T08:57:10.292451Z","iopub.execute_input":"2022-06-02T08:57:10.292697Z","iopub.status.idle":"2022-06-02T08:59:19.863656Z","shell.execute_reply.started":"2022-06-02T08:57:10.292667Z","shell.execute_reply":"2022-06-02T08:59:19.862940Z"},"trusted":true},"execution_count":58,"outputs":[{"name":"stdout","text":"[LightGBM] [Warning] lambda_l2 is set with lambda=4.184295547505293, reg_lambda=0.0 will be ignored. Current value: lambda_l2=4.184295547505293\n[LightGBM] [Warning] feature_fraction is set=0.8090043739141928, colsample_bytree=1.0 will be ignored. Current value: feature_fraction=0.8090043739141928\n[LightGBM] [Warning] min_data_in_leaf is set=194, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=194\n0.8568278991960587\n","output_type":"stream"}]},{"cell_type":"markdown","source":"# Model Explainability","metadata":{}},{"cell_type":"markdown","source":"**SHAP values (SHapley Additive exPlanations) is used to explain the predictions made by your model.**\n\n**SHAP shows the contribution or the importance of each feature on the prediction of the model, it does not evaluate the quality of the prediction itself.**","metadata":{}},{"cell_type":"code","source":"import shap","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:01:07.092540Z","iopub.execute_input":"2022-06-02T09:01:07.093358Z","iopub.status.idle":"2022-06-02T09:01:09.734994Z","shell.execute_reply.started":"2022-06-02T09:01:07.093312Z","shell.execute_reply":"2022-06-02T09:01:09.734263Z"},"trusted":true},"execution_count":59,"outputs":[]},{"cell_type":"markdown","source":"explainer(data) ---> Returns data,base_values,shap_values\n\ndata - The original data\n\nbase_values - The expected value of the target or the mean target value from the data\n\nshap_values - SHAP values for each sample\n\nexplainer.shap_values ---> Returns only the shap values\n","metadata":{}},{"cell_type":"code","source":"shap_values=shap.TreeExplainer(lgbrEstimator).shap_values(x_cv_lgbm)\nshap.summary_plot(shap_values,x_cv_lgbm,plot_type='bar')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:01:09.881757Z","iopub.execute_input":"2022-06-02T09:01:09.882418Z","iopub.status.idle":"2022-06-02T09:46:51.411069Z","shell.execute_reply.started":"2022-06-02T09:01:09.882368Z","shell.execute_reply":"2022-06-02T09:46:51.410467Z"},"trusted":true},"execution_count":60,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"From the above plot it evident that **item_avg_cnt_month_lag,item_cnt_month_lag,shop_av_cnt_month_lag** features have better predicting power compared with other variables. This prediction is also meaningful because previous month's sales is a good indicator for sales in forecoming months. \n\nAnother point to be noted is **sales one month before(i.e last month) is more detrimental compared with other variables**","metadata":{}},{"cell_type":"markdown","source":"The below plot is similar to a summary bar plot but this is more interpretable.","metadata":{}},{"cell_type":"code","source":"shap.summary_plot(shap_values,x_cv_lgbm,feature_names=x_cv_lgbm.columns)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:46:51.412339Z","iopub.execute_input":"2022-06-02T09:46:51.413018Z","iopub.status.idle":"2022-06-02T09:47:14.412947Z","shell.execute_reply.started":"2022-06-02T09:46:51.412988Z","shell.execute_reply":"2022-06-02T09:47:14.412278Z"},"trusted":true},"execution_count":61,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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NsZMmQI69atY//+/ZjNZrKzs0s05NmN8Ze13r17s2LFCi5cuIDJZOKTTz7BYrHQrl27YsdnsVjsPexlraDH2tPTk8TERD799FP7Mq1WS/fu3fnoo49IS0sjJyeHxYsXF7tts9lMXl4eZrMZVVXJy8sjL6+IQlVRfuQX44QQlZB6w6MykCT4PvHSSy+xdOlSOnXqxNy5cwGYNm0aNWvWZNSoUbRv356nn36a3bt3l0uva7t27Zg+fTqLFi0iKiqKQYMGceDAgbuKvywNHTqUbt268be//Y2uXbty6NAhPvjgA7y8vIq1fc2aNRk8eDDDhg2jY8eObNmypUzjmzp1Khs2bKB9+/ZMnjzZPqJDgYkTJxIaGsrAgQP505/+RKtWrVAUBVdX19u0eN2///1v2rZty9y5c4mLi6Nt27YONy0KIYQQ4maKqsrI7EJUNOfPn2fw4MFs27aN4OBgZ4cjSkB5x3zrBVYr6qtFf6gRQoiKyKw43vinU5c5KZKyIz3BQlQAly9f5pdffsFisZCamsr8+fN57LHHJAG+z1gq8w8eCCFEJSM3xgkAjh49yrhx42657Pnnn+eFF14os30lJiby1FNP3XJZjx49mDp1apntq7yU9THk5+czd+5cEhIS0Ov1NG/enGnTpgEwbtw4jh49esvtYmNjSxa4KFdaZw0FJYQQ5ayyDItWmJRDCCFEGbptOQRW1ElSDiGEuD+ZlJEO8y7qR06KpOxIOYQQQpQ7lesD9QohhKgIJAkWQogypE7SEX7TszlsfHivE6IRQoiyIb8YJ4QQokhxkxxfWjdtktptIcT9rnIkvoVJT7AQQgghhHjgSE+wEEKUsT7Ls9j8h2r7SVWrCllt2dh2v7PDEkKIUqssJRCFSU+wEEKUoX/F5LD5shY83UHRgFYLfl703dfU2aEJIYQoRJJgIYQoQ1O/tYBWZxsQQsO1MjoFfAKcG5gQQggHkgQLIURZsih45uWDRgWz1fZQVFAq31eJQogHR2UcHUKSYCGEKENak0qNzFwwWiDXDAYz5JqplZbLoP6/ODs8IYQoJeWGx/1PkmAhhChLOgjLyAWT9fpzFpV0Fxc0Pt7Oi0sIIYQDSYKFEKIMWVy0XPZyR2OxOjzvoVFQpSRCCHGfqozlEDJEmhBClCUVTof4Qq4ZF7MFjQLueWYMrhryNJXjjUMI8SCqfK9f0hN8zbhx4/jss8+cHYZwgpEjR7Js2bIybXPTpk3079+/TNsU9weN1QKqbWQ0k5cbeR6uZPi6ozGa8TCZmFd7tbNDFEIIgfQE2y1cuNA+HRERwbJly2jWrJnzAroPzZw5E61Wy/Tp050dym316dOHMWPG0LNnT2eHUmYWL17Md999x7lz53jsscdYvHixs0OqPC5cwWKGrExI+eUquRYd4TXd0WZfYfFZT/73fS7H3PQYfDzJ0GnJddXg7emB0ZhPnpsrZOeByYqqUVA9dPxcxZvcxxsRHvQfGqfFE2KNw51c3MjChXxUrt9yol57FFBumC/MBTDdZlnhbayAAQ905OOGGSu2nhDXuzpJ14Kr4gMhfuCmg7x8SMoETzd4KBQS0qBxTdsyTzdIyoC4VHBzhcY1bNuZLHDyEgR7g6uLbRtFgb+2B089ZBrAYoVtP4MpH6YPgR/PwOVUOHoOagZCjRAI9YNso21Ujt8ToWVd2HwIAjxt+/s9EUL9oXowxKdCtSDo1BgOn7XtI8TPtm6oP9SsAn6e8P0JiD0Bf2pnizsp3RbjhSsQ8xvUDrEdV74ZArxAVaF2KIT4gt4FEtPBaoWEDNsx9m0FdULgbALkmWz7rREEtapA1cC7vRpClIvKUgJRmCTBQtznqlWrxujRozlw4AAXLlxwdjiVx9y15M1Yy7fBkSQFh/JTvYdBsVDj94ssbfoQ4//7C7X8vVnbuQUmrQZvUz6Kj54+h07S49ffefb5XlgLbo6zqlzV6rgaHsTp8CDOhQTw5dIvID8AA/64cgkt+SiAFQXNbdPd23Mp5np6ckvcdpFUbElvUubNy84l2/793+Vbb/vf43du+6vvb/38Z98WO7xS83GHRtXgwBnb/JT/lE27C7fe+nlFgUUjYEz3stmPEOKOpBzimoKvxJ955hkAxo4dS2RkJLNnzwbAaDTy3nvv0bdvXzp37szf//53Ll265LD9/PnzmTRpEu3bt6dfv34cPHiQH3/8kSFDhtChQwcmTZpETk5OkbGcPn2akSNHEhUVRadOnRg3bhyXL9veQH7//Xdat25NWlqafX1VVenXrx+bN28GICUlhQkTJtChQwcGDhzIhg0biIiIID4+vsh9x8fH89prr9GtWzc6duzICy+8QHp6OmDrIV+zZg1Dhw6lffv2PPfcc5w/fx6Azz77jG3btrF582YiIyOJjIzEYrHccV8RERF89dVXPPvss7Rr144XXniBpKQkVq5cSa9evYiKimLRokUO2/z0008MGzaMDh06MGjQINatW2dfdvjwYVq1asXOnTvp168fHTp0YMqUKfZzPmHCBBITE5kzZw6RkZGMHTvWvm1WVhaTJ0+2X7t9+/YVea5KYseOHTzzzDN06NCBbt26MXfuXAwGg3353Vyzvn370r59e/z8/Mo05geaqsI/VvOHZw1CcnL4tVYd+zi/F+uEUOdqJmFZuayOaIBJa3sZzXJxxTPHSI9ffwfA3Wx2bLPQTXEJAR4E52cXLCCbKvY+ltIkwKKcZBquJ8D3gqrC7DX3bn9CPOAkCb7Bl19+CcCiRYuIjY21f7U/Z84czp8/z/Lly9mxYweNGzfm5ZdfxlzojW7r1q0899xz7N27l65duzJjxgzWr1/Pxx9/zMaNG7lw4QKrVq0qMgZFURg5ciTbtm1j06ZNuLu72+OoU6cO9evXZ9u2bfb1f/rpJ9LT0+nSpQsA06dPR6fTsWXLFpYtW8bWrbfpdbiB0WhkzJgxBAQEsG7dOnbv3s2ECRNwcbnex7Rp0ybmzZvH7t27CQkJYd68eQAMGzaMHj160Lt3b2JjY4mNjUWr1Ra5z23btvHOO++we/duXF1dGTNmDFlZWWzYsIEPP/yQ//znP/z8888AxMXFMW7cOAYPHsyePXuYOXMmixYtYvfu3fb2LBYLP/zwA19++SVff/01p06dsp/zBQsWEBoayrRp04iNjXVIsDdv3sxf//pX9u3bx5AhQ5g5cyZGo7FY5604vLy8mDNnDnv37mXZsmX8/PPP/Pvf/7YvL+01qwiysrIq37SiYA31w8NiwKhzxdV0vdhAMVtI9dAD4GvMo7B8nRbLtWS372+/g6cLuGhsD/frX7w1OZ+MWijZ1XJDwiweXOEBzv/7l+n7erq8VMbRISQJLob09HS2b9/OlClTCAwMxMXFhREjRpCSksKxY8fs6z355JM0btwYrVZLjx49SElJ4dlnn8XX1xdfX1/atWvHiRMnitxfvXr1iIiIwNXVFS8vL0aMGMFvv/1mT8r69u3Lpk2b7Otv3LiRJ598Er1eT1JSEocOHWL8+PF4eXkREBDA8OHDi3WcsbGxGI1GJk6ciJeXFzqdjiZNmuDp6WlfZ+jQoYSGhuLq6kqfPn2KdTx38te//pWQkBD0ej1RUVGkpqYycuRIXFxcqF+/PvXq1bPvY8eOHTz88MP06dPHHltBr2lhf//73/Hw8CAwMJCOHTsWK8auXbvStGlTNBoNAwcOJDs7m4sXL97VsRXWtm1b6tSpg0ajoXr16gwePJiDBw8C3NU1qwi8vb0r5bRm4+vUaBuEex0Xnjz7K4FpGQSkZNL24Clax//B2mZ1+NPB49TMyqGKwUjt7GzyXV1YEfkoST4e/FY1CPQ6CHQHPz3BWUbqJabR4MIVXln/A2fdQ9FgwI0MfLmIiq1mNx+Pa28y3NNHheaqA+0Nb1c6DdxutI2Svj/rb6gM1GmgagC8GAUbXgO3ax0B3u62h/YO+y4cg97FVius0zqur1GgRiB4uNmmFcDDFSIfgS8nVIi/f5m+f6fLT+X7sQypCS6GuLg4AJ5++mmH581mM4mJifb5wMDrNzTo9baeoqCgIIfncnOLrse7fPky0dHRHDt2zGH9tLQ0wsLC6NatGwsWLODkyZNUr16dmJgY+81Qycm2+rvQ0FD7dmFhYcU6zvj4eKpWrYpOd/s/i9Icz53c2J6/vz8ajcbhuYJyhqSkJKpWreqwfbVq1fj22+u1gVqtFn9//xLHWPjaubu7A9z1sRX2ww8/sGzZMs6fP4/JZMJisRAQEADc3TUT5ahpbdj5fzx6bbZjoUWDC02/esNmyvRwdj9cA/Kttl+M0yjgpSPN3ZUcT1eG7fuZNMVKkOE3kjBS+8rb6IJtfwsKZXCTmih7xq+cHYEQohxIEnwLyg0D2hckJOvXr3dIsMrLP//5T4KDg/nyyy/x8/Pj7NmzPP3006iqrb/G29ubDh06sGnTJurVq0doaCiPPmp7qw4ODgYgMTGRatWq2aeLIzw8nPj4eCwWS7FKGW5043krayEhIezfv9/hubi4OEJCQordRuEE+14xmUxMmjSJcePG0bdvX/R6PV999RX/+Y/tJpu7uWai4tEAVkuhvlWrChYVs6uGtudTWLzrCeAJYKiTIhRCiJKrLCUQhUk5xC0EBgY6fBUeEBBA9+7defPNN7ly5Qpgq7/Zu3dvmfYWFsjJycHd3R1vb2/S09NZunTpTev07duX7du3s379evr06WN/PiQkhBYtWvDBBx+Qk5NDWlqaQ+3pnbRr1w4XFxfmz59PdnY2ZrOZ3377rVg384GtVzcuLg6r1Vr0yqXQrVs3Tp48yebNmzGbzRw7doyvv/6afv36FbuNwMBAhxsa7wWTyYTJZMLHxwe9Xs+5c+dYvfr6WLF3c83A9o1EXl4eFosFq9VKXl4e+fn55XEoohjcLNabX1k1CoGJ2fjnynURQtyfpCb4AfHSSy+xdOlSOnXqxNy5cwGYNm0aNWvWZNSoUbRv356nn36a3bt3l0vv5yuvvMLRo0fp0KEDw4cPp127djet8/jjj6PX6zl58iS9evVyWDZ37lyMRiM9e/bkxRdftN8w5+p65y9a3d3d+fDDD0lKSmLAgAF06dKF6Ohoh5v/7qRfv34YDAaioqLo2LFjkaNDlFTVqlWJjo5m9erVREVFMWPGDEaPHs2TTz5Z7DZeeOEFtm7dah91417w8PBgypQpLFy4kMjISN566y26d3ccAqm01wxsN222bduWTz75hMOHD9O2bVsGDRpULsciislVC3otuGrAywUUUDQKilrhq2+FEOKBoaiqvCpXdgcOHGDixIns37+/3EsWRNmQa3b/UmZk226G0nB9WDRVJTApgyeupLNpRV2nxieEEKWRpbziMO+tzndSJGVHaoIroVOnTqHRaKhbty5xcXF8+OGHPPnkk5JMVWByzSoRFVAKfvvtGkXhqmpl42d1nBWVEELclcpSAlGYJMFOcPTo0dt+Ff/888/zwgsv3FX7WVlZzJkzh5SUFLy8vGjTpg0TJkwAYMiQISQkJNy0TVhYmEOdalkYN24cR48eveWy2NjYMt1XebndMeTl5eHm5nbLbUpzDSvKNRNlQFXBguOrq6qienvIhxohhKhApBxCCCHKkPfkVLI9PcBNC7prSa9FBUMe6qx7MZanEEKUvUxlksO8j/qOkyIpO3JjnBBClKGstwPBZIZ8i22sYJMKFisbI/Y5OzQhhCg1GR1CCCFEkdS53lx5WQO5uYTnGdn46C5nhySEEOIGUhMshBDlINjXDXWurW680K+cCyHEfamy9P4WJkmwEEIIIYQogiTBQgghimlpnf+Q5ROAp9UCioYvn13AM+kTnB2WEEIIpCZYCCHKxarghWR5BtLpxFk6/3qGZicu4RLgw9GlB5wdmhBClJh6w6MykCRYCCHKQb6vJ0/EnadaXgp+ZPFQfgINEi/z8+vfOTs0IYQosco4OoSUQwghRDmokZZKcI610DMaAg35hMrQ7EIIUSFIT7AQQpQD1+x8rnp62ectaMjFgxStqxOjEkKI0lJueNz/pCdYCCHKgZdi5LhvMAFXc9Cikos7Zm8TqYEezg5NCCFKrLKUQBQmSbAQQpSDHG89FlXL7uZNCUtOJ89FR5K/F/UuHnV2aEIIIZByCFFM48aN47PPPnN2GAJITEwkMjKS5OTk267z0ksvsXTp0nsYlbjRMb9qpAV6k+Xjyek6VblQIwQfQz7nNW7ODk0IIUqsMt4YJ0mwKJaFCxcybNgwACIiIvj555+dG1Apbdq0if79+zs7jLsSGhpKbGwswcHBzg5F3MbX1T7E6gsdL/zI3/avYNBv23E15+NmyWPhwH506/ets0MUQogHnpRDCOEEZrMZnU7++92Ng+dMfPSdkVqBGsJ8NehdFIZEuOGideyhOHTexE8XzHSo70LeHznkZJhp2saXk4cyyMiH48G+nEiwEn/wKr6KlbCHPfnfoQzOGjWk+Lij83bD15RHkkFDvYwsQvNNuOakUTc5hctVwjC66Xns8u80SPidJG9/HkpK4FjNpnQ7/QuNUs4CUOfqJSIuH8M9TaXTBU++aNEGl5m5NIpPZMK33/FdjUDS3D15JC0OT1VlRaP2eKDDPysHrdnEqSoBJLi6oOgVHku6RK7qxgXfIHDRYnDXEZqcSYa3O1meekxaDeSZwapCngVcNehctWhQMVmuje9pteCigJJvRafT8ETiWeJ9/DlRpSrVU5NYuuETUvWe/L3Pc6T7+ICqgnLtvKoqLhYzJkUBre1vWGO18swv+/E05/Of5pHkuurveO28XaC6D5xMBett1vHQgtFyfbkGW+xeOjBaoYYPvNleYeFPKj/Gg0kFvRaqecMfGaBRoHU4DG6gIdxL4WiSFUVR6FBd4XwGuGjgL40UdBoFg0nlP/9TcdNBgF7lfAYMrK8h3Lty9HYJIW5NUVUZr0cUbeTIkTz++OPs2bOHM2fO4ObmhkajoWvXrkyfPh2j0ciSJUuIiYkhOzubRo0a8eqrr1K9enX79g0aNCA+Pp6DBw/i7+/PG2+8gaqqvPvuuyQlJdGyZUtmzZqFp6dnkfHExMSwfPlyLl26hJubG3379mXs2LEkJSUxZ84cTpw4gclkol69ekycOJGGDRvy66+/Mnr0aEwmE3q97U16wYIFREREcPbsWd577z1OnjyJm5sbPXr0YPTo0fZE9dixY7z55ptcvHiRevXq0bp1azZu3MimTZsASE9PZ/78+fz4448AtG7dmldeeQVfX18A+vTpQ9++fTl8+DDHjx/njTfeYPbs2fz73/+mQYMG9uMaMWIErVq1Yvjw4bc99vj4ePr27cuWLVsICQlBVVU+/fRT1qxZg9FopFevXpw9e5ZmzZoxatSoUlztiu/A7yZ6Lsy8acD2QY+58u9h3vb5b0+bGPhhJhYruGlUesUl42e24O6hIS8rnxVN65DsqefJcwk0Ts4E4LKHnq0BvuR46cH3WjJnVWkcl8aT8ck0jLvAUwf/C0CuqyufRHYk6vQ+Xu0xBqtGQ73EBCZv34XibqJh2ilyXdxQVDjvVQWLNpsrnt4MHzSK8yGheKTm0v7iH4z+7kf6DxlCaE46U3/ex5fNu6NcSzp9swy4GIzsf7gqqb7utnjMVkjNxUVVeTQ1nSMNqqJqb/HFXp4ZMowQ5GnLCguoKl7JOWjNVlQFMkO8QaPga8jhzNvjCc7NAuD1bk/zZqcBRV6PJV9/xKiDewD4b60GdBg9q8htKoI/P6Kwso+OLqvM7Lng+NdU3Rt+fUGHn14SYSEAkpVpDvPB6hwnRVJ2pBxClMiXX34JwKJFi4iNjWX69OkAzJkzh/Pnz7N8+XJ27NhB48aNefnllzGbzfZtt27dynPPPcfevXvp2rUrM2bMYP369Xz88cds3LiRCxcusGrVqiJj2L9/PzNnzmTkyJHs3r2bdevW0bZtWwBUVWXw4MFs3ryZHTt20KBBAyZPnozZbObRRx/l9ddfp2rVqsTGxhIbG0tERARXr15l1KhRdOrUiW3btrF8+XJ+/PFHli9fDkBWVhbjx4+na9euxMTEMHnyZL7++muHmKZPn05WVhZr1qxhzZo1pKenM2PGDId1NmzYwIQJE/jvf/9Lx44diYqK4ptvvrEvv3DhAr/++it9+/Yt0TXZunUrX3zxBe+++y47duzAz8+PI0eOlKiN+83eU6Zb/mLRruMmx/VO5mO51pWYZ1VIdLMNT2bItZLjoiPZ05bk1k7PsW9TLdeIUaMBt0I99RqFWtm5ANRNjLM/7ZGfT8uLZ/ipan2sGtvL6ZPHThNkzOYP3+psfuhJFrR/gfkdXmBbkygyPGsSdfE4S9d/DIBVp+FQeDVax8XhZzSS6OnH9nqP2xNggAxvd2omZ5Crd7kej04DWgWTonDB3/vWCTCAq9Yef2Eai4rWbDsxFp3WvrxJ4kV7AgzQ+uLZW7d7gx6nfrZPtz9/Es88Y7G2c7atv6uYLOpNCTDApSw4liJ9REIUkJpgIW4hPT2d7du3M2XKFAIDA3FxcWHEiBGkpKRw7Ngx+3pPPvkkjRs3RqvV0qNHD1JSUnj22Wfx9fXF19eXdu3aceLEiSL399VXXzFo0CAiIyPR6XR4eXnRrFkzwFYv26FDB/R6PXq9njFjxpCYmMjFixdv296WLVuoV68egwYNwsXFhSpVqvDcc8+xZcsWAGJjY3F3d+fZZ59Fp9PRoEEDh0Q1OTmZAwcOMGHCBHx8fPDx8WHChAns37+flJQU+3r9+/enQYMGKIqCXq9n4MCBbN++nby8PAC++eYb2rRpQ5UqVUp0/rds2cLAgQNp2LAhLi4uPP/88wQFBZWojbuRlZV1z6fb1Ll1KckTdXQO6zcLv/4hTKeoVMm3JckuruBhsuBnsJ37y97Xhy1L0rviqqqQb7nesKoS52FLmC8GhdifztPp+CW8Nk0Sz9mfS3fXYwXqXUzk15p1bGUEioLBzYN99dsQ7x1KoCEbxWLFxWiidkYaZ/z9yXBzI8CQTbvzvzkck0duHnEB3rjnXT8WLFawqOhUlaqZtrZuyWS1x1+YVatguVY2ojFbbKUTwIkqVclwc7evdzS81q3bvcF/aze0Tx8Jr0WO253LIcrO3SWp7asruGgVWobcfP6CPaCa2/UPR874O5dpmS7NtCg+KUoUdy0uztYz9vTTTzs8bzabSUxMtM8HBgbapwvKEQona3q9ntzc3CL3l5CQQKdOnW65rKAs4aeffiI7O9veo5aWlnbb9uLj4/nll1/o2LGj/TlVVbFabW+MV65cITQ01KF3LiwszD6dlJQEQHh4uP25atWqAbaRHAqOsfA2AM2aNSM4OJg9e/bQtWtXtmzZwtSpU4s8/htduXLFoW2NRkNoaGiJ2yktb2/vez7d8WFXvhrpxdL/5lHNT6F6gBZ3V4UX2urxcL1+nfpH+LLOM5+D581EPeyC+YyGnCwzj0X6cfxAOm3zDfwaoueX6iGc+MkFH1S8annw+Ikszl/NJ83sjsbDBX2+mVOe7rj6+3De8xH2VQ2mQeIV/givSqaHNxqLgUl7V3PRP5jaGfGYFQ1aq4rOasGkUa7X0wKZbt7MfaIHbtlGQvJyeGn/D7z/RDP6nDtGq+RzBOUZyLTm44kOnxwj7gYDP1cLxGAw4WXNp2nyZTLxIM7TH8VNy6kawdS+nEKqrycGd1fyddpCNcFmcNOi5JvRKGAxA1hBBYO3KzqjBZ1GpfPZ30jwCeBElXAeHzWLf69fRqaLG0tadLK1o6rXe5NVFY3VaqvV1WhAUXhh0Gh+rF4XT1MeSx/vUuTfjKsGAvSQeIf/7jrAfIvntYotHH89zGirYfERldNptnRYq4C/K6Tm2Ybyr+8PTz+iIcQTjiapaBSFjjXgQqatJnh0M1s/0K5nXFly1IpeBz5ucCkT/vyIhlr+9/5vW6Zl+m6ny0/l6P0tTJJgUWKFk0G4ntytX78ef3//ct9/WFjYbXt2P/jgA1JSUvjss88ICgoiJyeHDh06UFD6fmPsYOs9fvzxx4mOjr5lm1WqVCExMRFVVe3bF07uQ0JsPYMJCQn2GuiCDwaFk1GN5uYvXgYOHMg333yDh4cHGo2Gdu3aFXn8t4ovISHBPq+qqkN8lVW3Rm50a1T0cGNRDV2JanjtV9oeCrA/H9nf1uM+EAAd/Dm80Fa3+zv2u/ZvvRueb+Aw94dmKgquVE9K5ly1Qh+OriYyZMAI4hQNhn/6Ar7AszxvX6M9ACPueESBt3jO64b5kg7D1qLQdF2IfhOA4v8VuQK2b0feLOGe79a4iLtvw9dN4bXW2rtvSIhKrDIWB0k5hCixwMBAhyQ0ICCA7t278+abb3LlyhXA9tXM3r17i9WzW1JDhgxh3bp17N+/H7PZTHZ2tn3ItpycHPR6Pd7e3uTm5vL+++87bBsUFERaWhrZ2dn253r16sWJEyf45ptvyMvLw2q1cvnyZb7//nsAIiMjyc3NZeXKlZjNZk6dOmW/IQ4gODiY1q1bs2DBArKyssjMzOS9996jTZs2RZYl9OzZk//973989NFH9OnTB6225G/EPXv2ZP369Zw8eRKz2cynn37qUIYh7r3qhv8j3c1IYHra9VIEVaXZhZOM2rqV1KUPOTdAIYQQkgSLkiv4IYZOnToxd+5cAKZNm0bNmjUZNWoU7du35+mnn2b37t237Hm9W+3atWP69OksWrSIqKgoBg0axIEDBwAYNWoUaWlpREVF8cwzz/Doo486JJYRERE8/vjj9OvXj44dO/LTTz8RFBTEkiVL2LdvH3379qVTp05MnjzZ3pvr7e3Ne++9x7Zt2+jUqRPz5s2jd+/euLhcv1Fp9uzZeHp6MmjQIAYPHoyXlxf/+Mc/ijwWHx8foqKiOHPmDP369SvV+ejVqxdDhgxhwoQJdO3alatXr/LYY4+Vqi1RNnRubvz0UCMuhYRcL4VQFDL1PtRLueLc4IQQohQq441xMkSaEKXwwQcfcOLECRYtWnTXbS1dupRff/21TNoSFceyBivJ9goi2982TJ6iqrT49RSp5iv85eqrTo5OCCFKJkGZ6TAfps685Xr3E+kJFqIYfvjhB1JSUrBarRw5coT169fTrVu3u243NTWVDRs28Mwzz5RBlKIiqX7lEk+c/R/NTp2jZsIV2vx6Et+cLNRb1IYLIYS49+TGOFHhHD16lHHjxt1y2fPPP88LL7xwjyOCs2fP8n//939kZ2cTHBzMs88+S+/eve+qzfnz5/P111/Ts2fPm26Ii4yMvOU2zZs3Z+HChXe1X3Fv6PM1+OYZ8M+4ftOiWZdDSsi9G75OCCHKTuUogShMyiGEEKIc/M97BvkGX/QWBQ0qZrRku7iwtnEIbx8Z7OzwhBCiROIVx/tcwtUZt1nz/iE9wUIIUQ5+d/VG4+FHtSu52HpQVIx6HR2jfJ0dmhBCCKQmWAghykXf1Mn4mRPI8NaRr9Ng0GtIdTPT6+0nnR2aEEKUmHrDozKQnmAhhCgn7VKnAdjHlR7Yp48zwxFCiFKrLMOiFSY9wUIIIYQQ4oEjPcFCCCGEEKIIla8nWJJgIYQoJ8pbeaDRAN0BGPjNPtYt6+jUmIQQojQqYzmEJMFCCFFeNJrrP5sMfF23tRODEUIIUZgkwUIIca9otc6OQAghSqWyjAhRmCTBQgghhBDijipjOYSMDiGEEPeK/ECnEEJUGNITLIQQ94pS+XpShBAPhsrYEyxJsBBCCCGEKELlS4KlHKICGzduHJ999pmzw3hgxcfHExERQVJSUom3PXz4MK1atSqHqMT9QnnT4OwQhBBC3IEkwRXYwoULGTZsGAARERH8/PPPzg3oLlT0+O/XpDU/P5+5c+cyYMAA2rdvT69evYiOjiYvL8/ZoT3wtCbTTeUPg36KBWUgWK1OikoIIUpHveFRGUg5hBD3MYvFgp+fHwsWLKB69epcuXKFyZMnk5+fz+TJk50dXqXxY4LKv360cD4D3HVgVUGrgQPxAOot3xH8LGbSb3gu6vwJAFTtYPtz9+0XjBoNoNpOhosWoh4FTzfY/attvncEfLUfDPng4w4dGtm202psj0Bv+Pce282COq3tg0GNYLicAiYLBHjB9CEwvrdTD1MIYSM1weKeGjlyJI8//jh79uwBYOzYsWg0Grp27cr06dMxGo0sWbKEmJgYsrOzadSoEa+++irVq1e3b9+gQQPi4+M5ePAg/v7+vPHGG6iqyrvvvktSUhItW7Zk1qxZeHp6FhlPTEwMy5cv59KlS7i5udG3b1/Gjh3Lpk2b+Pe//83TTz/NihUrMBgMdOnShSlTpqDVannmmWduGf/tFLT31FNPsXLlSrKzsxk4cCDPPfccc+fO5eDBgwQFBTF9+nSaNWsGgNlsZvny5WzevJnMzEwaNGjAxIkTqVu3LgAzZ87EYrHg5ubG7t27cXd3Z/jw4QwaNIjk5GTGjx+PxWIhMjISgNdee43HHnsMsPUSf/rppyQlJdGkSRNmzZpFUFBQia7lwYMHWbRoERcvXkSr1dKyZUsmT55MQEAAADk5Obz11lt89913eHh4MHr0aGbPns2iRYuIiIi4bbvu7u6MHTvWPh8WFkb//v1Zu3ZtieITt5eTr9J9rYX023auK7fMZJ/++XuWtOtunw/PuMrA3w4WbHH/K9ybbbLA9qOOyz/de3060wCbDt++rXyz7d9zhUqPUrPh5U+gRhAMkB8ZEUKUPSmHuA98+eWXACxatIjY2Fh7AjlnzhzOnz/P8uXL2bFjB40bN+bll1/GbDbbt926dSvPPfcce/fupWvXrsyYMYP169fz8ccfs3HjRi5cuMCqVauKjGH//v3MnDmTkSNHsnv3btatW0fbtm3tyxMSEkhNTWXDhg2sWLGCPXv2sHPnzjvGfycJCQlkZ2fzzTffsGzZMr766ivGjRvH0KFDiYmJoXPnzsyaNcu+/ueff86WLVuIjo5mx44dNGvWjLFjx5KdnW1fJyYmhsjISGJiYpg8eTLz5s0jISGB4OBgoqOj0Wq1xMbGEhsbS+/e13ufdu3axccff8zWrVsxGAwsWbKkyPhv5OrqyquvvsquXbtYtWoVKSkpvPPOO/bl77zzDnFxcaxdu5ZVq1axf/9+LBZLifcDcOjQIerVq1eqbUsjKyurUk+n5XGHBPj2msafB+DdjZ/xz61f8P0H0wjJzbrzRuJmvyc6/W9ApmX6fpouLyqKw6MykCT4PpWens727duZMmUKgYGBuLi4MGLECFJSUjh27Jh9vSeffJLGjRuj1Wrp0aMHKSkpPPvss/j6+uLr60u7du04ceJEkfv76quvGDRoEJGRkeh0Ory8vOy9sAB6vZ7Ro0fj6upK9erVadmyJcePHy/18en1ekaMGIGLiwv169enXr16NGrUiCZNmtiP5dKlS/Ykd9OmTQwbNoxatWrh6urKiBEj0Gq1fPfdd/Y2IyIi6NChAxqNhs6dO+Pt7c2pU6eKjGXEiBH4+fnh5eVF9+7dS3VczZo1o1GjRuh0OoKCghg6dCiHDh0CbCUN27dvZ/To0QQEBODl5eXQu1sSX3zxBUeOHCn19qXh7e1dqaeresHg+iV4wb82FvAXLWzfKiR7+fD63g3UTE8pfhv3oxtPkaaIc1bUcoAqvjCkrdP/BmRapu+n6fJSGZNgKYe4T8XFxQHw9NNPOzxvNptJTEy0zwcGBtqn9Xo9gMNX+Xq9ntzc3CL3l5CQQKdOnW673N/fH22hn4R1d3cvVrt3ak+juf4ZTa/X3/JYcnJy8PLyIikpifDwcPtyjUZDWFiYw8gON5YwFDfGwtuV9rhOnDjBokWLOHPmDEajEVVV7e2kp6djMpkICwuzrx8aGlrifaxcuZIVK1bw4Ycflmp7cWuKovBVHw2HE8FkUUGxlcGGeMDIHVa+jQMwgwWwWHGxWLBiJbZ2QwDe7DyAmLqN8TEaeH/1Uh7OSLaXEDutF8JVZ0tCTWaw3KKgWaeAvxdUD7LV76bnQHIGWKzQuAaE+EP7RyAxDbKMtnXHdoe0HPjhtO0EPdMOvoiFHT/DX9tD/XDIM4GHG2QbIaIuvLQU/DwgLAAS0qB7c/jtPHx30rZ9+8bgV3SplhBClIYkwfcJ5Ya7zAsSpvXr1+Pv71/u+w8LC+PixYul3v7G+MtaSEgICQkJ9nmr1UpCQgIhISHF2r5wwl0epk6dSlRUFG+++SZeXl7ExsYyYcIEAPz8/HBxcSEhIYFq1aoBOHyQKY5ly5bx9ddfs3TpUmrVqlXW4T/wNIrC42FwY3fnvmcK/m5ufilV5uXbpw/WsJWnNHztPdTX3StJH8othAdCoxrX50d2tT1uZ/Gom59r3wjG9ir72IQQd6WyjAhRmJRD3CcCAwMdktCAgAC6d+/Om2++yZUrVwBbTdDevXvvqgf2doYMGcK6devYv38/ZrOZ7OzsEg15dmP8Za13796sWLGCCxcuYDKZ+OSTT7BYLLRr167Y8VksFnsPe1kr6LH29PQkMTGRTz/91L5Mq9XSvXt3PvroI9LS0sjJyWHx4sXFbjs6OpoNGzbw0UcfSQJckWi4+WeSy/nDlhBClB/lhsf9T16R7xMvvfQSS5cupVOnTsydOxeAadOmUbNmTUaNGkX79u15+umn2b17d7n0urZr147p06ezaNEioqKiGDRoEAcOHLir+MvS0KFD6datG3/729/o2rUrhw4d4oMPPsDLy6tY29esWZPBgwczbNgwOnbsyJYtW8o0vqlTp7Jhwwbat2/P5MmT6dKli8PyiRMnEhoaysCBA/nTn/5Eq1atUBQFV1fXO7abkJDA559/TmpqKs888wyRkZFERkYyZMiQMo1flJw66RbXTpJgIYSoMBRVvbGrQgjhbOfPn2fw4MFs27aN4OBgZ4cjSkl5+4YfzLBaUV+98wcbIYSoiE4r7zrM11cnOimSsiPdEkJUAJcvX+aXX37BYrGQmprK/PnzeeyxxyQBrmykz0EIcZ+S0SFEpXX06FHGjRt3y2XPP/88L7zwQpntKzExkaeeeuqWy3r06MHUqVPLbF/lpayPoeDnjxMSEtDr9TRv3pxp06YBMG7cOI4ePXrL7WJjY0sWuHAuKYcQQogKQ8ohhBCinNxUDqGqqJNdnBeQEEKU0kllvsN8A/UVJ0VSdqQnWAgh7hXpcxBC3KcqSwlEYZIECyFEeVEUsFpt01Yrea/IS64QQlQU8ooshBDlRJ1ke4ndtGkTAK6ufZwZjhBClJr0BAshhBBCiAdOZSzmkiRYCCHKUbVxl/HSRtDst9/p3N6Ip6/e2SEJIYRAxgkWQohyU/XVFLpcyWLwictUdfdgbs/vSU/OdnZYQghRYpVxnGBJgoUQopw0T8nENzsH/6xsQq9moHi4836HPc4OSwghSqwyJsFSDiGEEOUkVe/KxXrVSPNwo/3ZOJrEpyCjBAshRMUgSbAQQpSTJB8P/gjyAWBVi4epkZqJ3t3NyVEJIUTJVcYb46QcQgghykG1lxLJcr3e72vVKORpNaS5SV+wEOL+I+UQQgghisVXVTFnGMhydyHPRUfzi0lUz8jGkGNwdmhCCCGQJFgIIcqFBQjLNqBNUUlzd+PhpDSsioJOfjpZCHEfqiy9v4VJOcRtxMfHExERQVJSkrNDEeVs06ZN9O/fv8zbjYiI4Oeffy7zdsX9IdnVhcRAL06EBZLo58VXEQ9zyd+bqzrpexBC3H/UGx6VgSTBoswcPnyYVq1aOTuMO1q6dCkvvfSSs8MoUwcPHmTMmDFERUXJBzcnslqt/PDzJZShJwkcehajxrH+V1UUNPlmnkiMI10ZyGVlIFeVQaQrA0lQBpLXZxzWixedeARCCPFgkS4JIe5z7u7u9OrVi7/85S+8/PLLzg6n2BbvyeXdbbmE+Gj493AfGoYX/+Uox2Bl8gdXOfa7CRQI91OIzXfhis6F+rl5eFqsmFSVmsZ8XFWVTJ2Wwz7umCxg0Sjkuulws6qYNBpcrVbMioIJ0FhUPExm6ubk0iY9E6tGS75GQ4y/D+e93UGrQWdVsZjMVM8zkejmQrDJQi1jHgluriR4+BDq7071fDMuuXlc0IKbh5k8Fx1NL14hMCuXqsZ43HHlDx7HgBc68niU73DZfBnL5kkomO3HmUIwQSQX65wUfFF5Yw+NwxeYHm6Qm1fs83zLnRTs4P0X4W+9St+WEOK+UhnLISQJBlatWsUXX3xBeno6np6e9O7dmwEDBgC23s1PP/2UpKQkmjRpwqxZswgKCgIgPT2d+fPn8+OPPwLQunVrXnnlFXx9fQHo06cPffv25YcffuD06dPUqlWLKVOm0KhRoyJjmjVrFgcPHiQrK4uQkBBefPFFunfvDsDQoUPp3r07f/7zn+3rL126lCNHjrB06VJUVWX58uWsXbsWo9FIr169OHv2LM2aNWPUqFF33K/ZbGbFihVs3ryZlJQU/P39+fvf/06XLl2YOXMmFosFNzc3du/ejbu7O8OHD2fQoEEkJyczfvx4LBYLkZGRALz22mv07t37tvsqaE+n07F3717c3d0ZP348tWvXZu7cuZw/f56GDRsyZ84cgoODi33OBwwYwKFDhzh27BhhYWG88cYbNG3alJ07d7J8+XJUVbXH+OWXXzr8HaxYsQKDwUCXLl2YMmUKWq22yGtVHElJScyZM4cTJ05gMpmoV68eEydOpGHDhgB3dc2aNGlCkyZNiI+PL5NY74W4NAtzvskF4HyKlVnrc1g11rfY26/bm8Nvv5tsMyr8L0tDvI8b1Q35eFusAITnm3C7Vn/ra7bgmWchQ6dFZ1XRWVSMLrZra9BoQVXBoqK3WNCqKpFXMzDpdKAouKoqHdIzOe/vBYBZqxCeY+KipzvBefkEWCykuehIc3PBrCiEmix4WG37rZuVhwcW2p65hKvZwu+BPlx2q0EYGRi41h5u/E5TGnEYBbPD20wQySV+27nj+neTAINjhj3uExjVDVzkbUSIB0PlS4If+HKICxcu8P7777NgwQL++9//snr1atq3b29fvmvXLj7++GO2bt2KwWBgyZIl9mXTp08nKyuLNWvWsGbNGtLT05kxY4ZD++vWrWPSpEnExMQQFRXF+PHjyc4u+mdTmzZtysqVK9m7dy/Dhw9n5syZnDt3DrAleps3b7avq6oqW7ZsoW/fvgBs2bKFVatWMX/+fHbu3ElQUBBHjhwp1vlYvHgx27Zt46233uLbb7/lo48+ombNmvblMTExREZGEhMTw+TJk5k3bx4JCQkEBwcTHR2NVqslNjaW2NjYOybAhduLiooiJiaGF198kblz57JkyRLefvttdu7ciaIoLF261L5+cc75xo0bmTRpEvv27aNVq1bMnDkTgK5du/L888/TokULe4zVqlUDICEhgdTUVDZs2MCKFSvYs2cPO3fuLNY5Kw5VVRk8eDCbN29mx44dNGjQgMmTJ2M223r97uaaOVtWVlaJpxVAKfR6qiglbEdxfDF27kvz9b2rCig33PiW5ebGZ20b8229ajx6MYmQjDQ0WB3WUe/Dl2IV7NehNH8DMi3TMl0+06L47r9X3jJW0NN37tw5cnNz8fb2pkmTJvblI0aMwM/PDy8vL7p3787x48cBSE5O5sCBA0yYMAEfHx98fHyYMGEC+/fvJyUlxb59v379aNiwIS4uLgwbNgw3Nze+++67IuPq378/fn5+aLVaunXrRr169fjpp58A6NatG+fPn+fkyZOArbc6IyODqKgoALZu3crAgQNp0KABOp2OoUOH2ntS70RVVdasWcP48eOpV68eiqIQEhJCvXr17OtERETQoUMHNBoNnTt3xtvbm1OnThXZ9u1ERETQrl07NBoNvXv3xmAw0KtXL0JCQtDr9URFRZX4nA8cOJA6deqg1Wrp378/ly5dKvKDh16vZ/To0bi6ulK9enVatmxp329ZCA0NpUOHDuj1evR6PWPGjCExMZGL12pAS3vNKgJvb+8ST4f7a5nezwNPN4WHqmj5v/6eJWpnUEcPmtZ1QVFAo4FGPlaq5eWT4KojU2tLMeNdXTAqClYgQ6clR69FBcwaBbNWQW+2oLNacTdbcLWqoIBRq8WiKPw3wBeN1QKqSr6i8K2fD5ht8zqLlURXF2rkGMjSariq0+JrsuCXZ0JnVbmgd8WELUk87+OGSQWf7HzOV/Hj3d5P8HDeSXy5ijdp6MhDRx61OYYVMOHicOPJFUJvuhnldo8Cd7x5xfMuf6hDuf6v8sGLoNPe9hrJtEzLtHOmy4uME1wJVatWjdmzZ7N27VrmzJlD3bp1GTFiBDVq1ACwlz6ArfYyN9f2FW7BzUfh4eEObQEkJibatwsLC7MvVxSF0NDQIm9cslqtfPTRR+zcuZPU1FQURcFgMJCWlgaAj48PHTp0YNOmTTRo0ICNGzfStWtX9Ho9AFeuXCE0NNRhvyEhIUWei7S0NAwGg/3Yb6Xw+QDHc1IahdsriP/G50p6zm+8ZgA5OTl4eXndNg5/f3+H0oe7Pa4bFZRx/PTTT2RnZ6Nc60EruKalvWb3s9GdPRjd2aNU23q6a/hgUlDRK5ZaYKm2ysrOpuGYi5yy6Ajz8UWTZ8HPaAHA4KHDw2Llszrd6X5xB/78Qg2TGQsWzKiw8mlc/zzEob3S/AVUjrcmIYQofw98EgzQuXNnOnfujMlkYt26dUycOJHPP//8jtsUJCgJCQlUr14dgLi4OACHZCYhIcE+raoqiYmJRSY3O3bsYMOGDXzwwQc89NBDaDQann32WdRCX7P27duXadOmMWLECPbu3cuHH35oX1alShUSExMd9lucEQP8/f3R6/VcvHjxjonw7Wg05fvFQnHP+Z2Ud4y388EHH5CSksJnn31GUFAQOTk5dOjQwX5NS3vNRMXi7eXF5c9t3yQ9OioeTaGu2GppudTOTEcDNMxfeusGhBCigqosw6IV9sCXQ5w/f57vv/8eo9GITqez9xYWlSwFBwfTunVrFixYQFZWFpmZmbz33nu0adPGoSdy48aNnDx50n7DmdFopF27dndsOycnB61Wi7+/P1arlW+++YbTp087rNOqVSv0ej0zZswgPDzcoYSjZ8+erF+/nlOnTmE2m1m5ciXJyUXfYa4oCk899RQLFy7k7Nmz9kTszJkzRW4LEBgYiMVisSemZa2457yoGBMTEzGZTOUS4+3k5OSg1+vx9vYmNzeX999/32F5aa8Z2L45yMvLIz8/HwCTyUReXh5Wq7WILUV5sijgbrbY56vlGnExW8l3k74HIcT9R8ohKiGz2cyyZcv4/fffAahevTrz5s3D1dW1yG1nz57N/PnzGTRoEGBLTCdOnOiwzoABA3j77bc5ffo0NWvWJDo6+o5fywP07t2bQ4cOMWDAAPR6PT179qR58+YO62g0Gnr27Mny5csZP368w7JevXqRmJjI+PHjyc/Pp1evXjRp0qRYx/TSSy/h4eHBpEmTSE1NJTAwkHHjxjnUBd9OzZo1GTx4MMOGDcNsNjN58mR69SrbIZSKc87vpEuXLuzatYtu3bphtVpZuXJlmcZ3O6NGjWLWrFlERUURGBjIqFGjWL9+vX353VyzI0eOMHr0aPt8wQ9/LFmyhIiIiDI/FlE8WhUaZWdjBjzMFnzMFjzSs8iWJFgIISoERVXlNzzLS58+fRgzZgw9e/Z0ahxWq5VevXoxfvx4+zBromKTa3b/azDiEo8Z8/EymdGoKmaNBndjHp4XLvPmkR7ODk8IIUrkoLLEYf5xdfRt1rx/PPDlEJXVjh07yMvLw2g0snTpUoxGI23atHF2WOIO5JpVLic/rk6ShysWjQazVotVUbCgkqMvundfCCEqGiuKw6MykO/lnGTIkCEON80VCAsLY/Xq1Xfd/urVq/nnP/8JQJ06dYiOjsbHx4dPPvmE5cuX33KbhQsX3lR2cTe2bdtmj+FGU6dOpUePit8bdqdj8Pf3t4/uUFhpr2FFuGaibF3w98SigTpXszFqNcT5e1E3NdXZYQkhhEDKIYQQotw0fjmRPL0bWW4uhGXmEJCVQ8sjJ3nziHNLpIQQoqQOKB85zD+hjnRSJGVHeoKFEKKcmDQagrJyaHkxkwRvD+pcTOSVzW2dHZYQQpRYZewxlZpgIYQoJ6fmVyE7M5tj/l40+t85/vV5U6qE+zo7LCGEEEhPsBBClKvfPm/Apk2boDsEhng6OxwhhCiVyjI2cGGSBAshhBBCiDuSJFgIIUSx5ebmMqPrj5j1wRgVlT59nB2REEKIAlITLIQQ5WRWl+8w+flh8vLARe/OyC4HnB2SEEKUinrDozKQnmAhhCgnFi8/QjIz8c41YnR1Id7Xx9khCSFEqVTGcgjpCRZCiHLiYTLhbsgj1cMdrdmMr8Ho7JCEEEJcIz3BQghRTjJ0WvY2a0S2qwtuZguPxt38K5FCCHE/qIw9wZIECyFEOTkdGky2qwsAeTotZ6sEOTkiIYQoncpSB1yYlEMIIUQ58TLlO8y7mc1OikQIIcSNJAkWQohy4ptnomZaBj55+YRl5/BboDfKm1IXLIS4/6goDo/KQJLg24iPjyciIoKkpCRnhyLK2aZNm+jfv3+ZtxsREcHPP/9c5u2K+4enMY9Aq5W6OdmEGfIIy8wGrRZlVoazQxNCiBKRIdKEuIPDhw8zduxYfvzxR2eHcltLly7ll19+YfHixc4Opcz85z//Ydu2bVy+fBk3Nzcee+wxXn75ZUJDQ50dWqVnOhoPa/bzxw+XSIzLJ17nR7xvFTLz9YTlZqOrVYe/HtxEyz/OsOyJJ4htGwWKAno9ypsGKOhNURRQr72t6HRQUDahK7+XaG8F3N3gyrWO6VB3+E9vOHlVQ5iHlbhshTAvhchqCiGelaPXRwghCpMkWIj7nMlkYvLkyTRs2BCz2cw777zDyy+/zKpVq5wdWqWWPXUX+f/awc5mD7Ph0YEE+iWT7B2Mq8nEn/Z/x3e16xCSmcyjfySyrUldJgz86/WNtVpAe/vGyzH5LZClQlahyoxEA3RZA2C99oytv8fTBfY/o6VpFUmEhXiQVZYSiMIkCQZWrVrFF198QXp6Op6envTu3ZsBAwYAtt7NTz/9lKSkJJo0acKsWbMICrLd4Z2ens78+fPtPZ+tW7fmlVdewdfXF4A+ffrQt29ffvjhB06fPk2tWrWYMmUKjRo1KjKmWbNmcfDgQbKysggJCeHFF1+ke/fuAAwdOpTu3bvz5z//2b7+0qVLOXLkCEuXLkVVVZYvX87atWsxGo306tWLs2fP0qxZM0aNGnXH/ZrNZlasWMHmzZtJSUnB39+fv//973Tp0oWZM2disVhwc3Nj9+7duLu7M3z4cAYNGkRycjLjx4/HYrEQGRkJwGuvvUbv3r1vu6+C9nQ6HXv37sXd3Z3x48dTu3Zt5s6dy/nz52nYsCFz5swhODi42Od8wIABHDp0iGPHjhEWFsYbb7xB06ZN2blzJ8uXL0dVVXuMX375pcPfwYoVKzAYDHTp0oUpU6ag1d4hUSmBpKQk5syZw4kTJzCZTNSrV4+JEyfSsGFDgLu6Zs8//7x92s3NjWHDhjF48GAyMjLs50WUvdzo7/Eine0NbX9LmW6eaICQjEwC8nJxtYLBzQ0X8jhVJcy5wd6FHBOs+J+Vd6uUzf8FIcT9qaIlwfv372fLli1cvXqVJUuW8Ntvv5Gdnc0TTzxR7DYe+JrgCxcu8P7777NgwQL++9//snr1atq3b29fvmvXLj7++GO2bt2KwWBgyZIl9mXTp08nKyuLNWvWsGbNGtLT05kxY4ZD++vWrWPSpEnExMQQFRXF+PHjyc7OLjKupk2bsnLlSvbu3cvw4cOZOXMm586dA2yJ3ubNm+3rqqrKli1b6Nu3LwBbtmxh1apVzJ8/n507dxIUFMSRI0eKdT4WL17Mtm3beOutt/j222/56KOPqFmzpn15TEwMkZGRxMTEMHnyZObNm0dCQgLBwcFER0ej1WqJjY0lNjb2jglw4faioqKIiYnhxRdfZO7cuSxZsoS3336bnTt3oigKS5cuta9fnHO+ceNGJk2axL59+2jVqhUzZ84EoGvXrjz//PO0aNHCHmO1atUASEhIIDU1lQ0bNrBixQr27NnDzp07i3XOikNVVQYPHszmzZvZsWMHDRo0YPLkyZivfe19N9fsRgcPHiQkJOSeJcBZWVkP5LSuTiAWXAnNSgHAzZwHQI6bG1ZVxdVq4UxYDVLcfRj86wH8c23/7/U3jBhxP6jrb3vzc/Y5l2mZlumipx8En3/+OTNnzqRWrVocOnQIAL1eT3R0dInaeeCT4IKevnPnzpGbm4u3tzdNmjSxLx8xYgR+fn54eXnRvXt3jh8/DkBycjIHDhxgwoQJ+Pj44OPjw4QJE9i/fz8pKSn27fv160fDhg1xcXFh2LBhuLm58d133xUZV//+/fHz80Or1dKtWzfq1avHTz/9BEC3bt04f/48J0+eBGy91RkZGURFRQGwdetWBg4cSIMGDdDpdAwdOtTek3onqqqyZs0axo8fT7169VAUhZCQEOrVq2dfJyIigg4dOqDRaOjcuTPe3t6cOnWqyLZvJyIignbt2qHRaOjduzcGg4FevXoREhKCXq8nKiqqxOd84MCB1KlTB61WS//+/bl06VKRHzz0ej2jR4/G1dWV6tWr07JlS/t+y0JoaCgdOnRAr9ej1+sZM2YMiYmJXLx4ESj9NbvRL7/8wgcffMDrr79eZrEXxdvb+4Gc9v3mL1iffIyxseto9/thHk66QGhaPNl6HbsfaUp4ago6i4l53f7EgbAWvPPNf+h+4ghGF1db/W9xH/eQtxYC3SHYHfzcoLo3zGyjMKqpUqxzItMyLdPOny4v1hsezvTZZ5+xfPlyRo4ciUZjS2Ufeugh/vjjjxK188CXQ1SrVo3Zs2ezdu1a5syZQ926dRkxYgQ1atQAsJc+ALi7u5ObmwtgHzUiPDzcoS2AxMRE+3ZhYde/BlUUhdDQ0CJHnLBarXz00Ufs3LmT1NRUFEXBYDCQlpYGgI+PDx06dGDTpk00aNCAjRs30rVrV/R6PQBXrlxxuCmqIJktSlpaGgaDwX7st1L4fIDjOSmNwu0VxH/jcyU95zdeM4CcnBy8vLxuG4e/v79D6cPdHteNCso4fvrpJ7Kzs1EUW1JRcE1Le80KO3r0KBMnTmTq1Km0a9euzGIXt6at7Y/vzuH4An+7aWkDNr67n7AtV6mRlEIeQWS76PE3+tsWWy2or+nvbcBCCHEXVE3FKYfIycmx51cF76dmsxkXF5cStfPA9wQDdO7cmcWLF7N7926efPJJJk6ciNF457E8CxKUhITrP4MaFxcH4JDMFF6uqiqJiYlFJjc7duxgw4YNzJs3j71797Jv3z7q16+PWqhXqG/fvmzfvp309HT27t1rL4UAqFKlComJiQ77Lc5Qb/7+/uj1envvZEkVfBorL8U953dS3jHezgcffEBKSgqfffYZ3377LVu2bAGwX9PSXrMCBT3k06ZNs9eOC+fqO7Et/lnZ9io6L4MRrxyjrXc3UX4+WQghSqtly5Z89NFHDs+tWLGCVq1alaidBz4JPn/+PN9//z1GoxGdTmfvLSwqWQoODqZ169YsWLCArKwsMjMzee+992jTpo1DT+TGjRs5efKk/YYzo9FYZC9dTk4OWq0Wf39/rFYr33zzDadPn3ZYp1WrVuj1embMmEF4eLhDCUfPnj1Zv349p06dwmw2s3LlSpKTk4s8F4qi8NRTT7Fw4ULOnj1rT8TOnDlT5LYAgYGBWCwWe2Ja1op7zouKMTExEZPJVC4x3k5OTg56vR5vb29yc3N5//33HZaX9poB7NmzhylTpjBnzhw6d+5cHuGLUsotNMqDWaPhqrseLl9AXVDbiVEJIUTJqYrjw5mmTZvGrl276Ny5Mzk5OXTr1o1t27YxZcqUErXzwJdDmM1mli1bxu+//w5A9erVmTdvHq6urkVuO3v2bObPn8+gQYMAW2I6ceJEh3UGDBjA22+/zenTp6lZsybR0dF3/FoeoHfv3hw6dIgBAwag1+vp2bMnzZs3d1hHo9HQs2dPli9fzvjx4x2W9erVi8TERMaPH09+fj69evWiSZMmxTqml156CQ8PDyZNmkRqaiqBgYGMGzfOoS74dmrWrMngwYMZNmwYZrOZyZMn06tXryK3K4ninPM76dKlC7t27aJbt25YrVZWrlxZpvHdzqhRo5g1axZRUVEEBgYyatQo1q9fb19+N9csOjoao9F4Ux3wmjVrZKxgJ8tz0XEmrAp+BiMnQoPRoaJGF/1/SQghKpqKVA5RpUoV1q1bx6+//kp8fDxhYWE8+uijJf62V1HVe3znxQOkT58+jBkzhp49ezo1DqvVSq9evRg/frx8VX6fkGtWOUx/8gfyPD2uP5GXx7xtLZ0XkBBClNI2188d5nvkP+ukSMrOA98TXFnt2LGDjh072sefNRqNtGnTxtlhiTuQa1b5mN0ce/IVJ9WkCyHE3VIr0MtXhw4d7DfE3Wjfvn3FbkeSYCcZMmSIww1eBcLCwli9evVdt7969Wr++c9/AlCnTh2io6Px8fHhk08+Yfny5bfcZuHChTeVXdyNbdu22WO40dSpU+nRo0eZ7au83OkY/P397aM7FFbaa1gRrpkoW2ZAUVVQFBSrldRro5UIIcT9RtVWnHKIt99+22E+OTmZFStWlPibdymHEEKIcvJKtx/RurriYrGQ6eaKRVH48OsmRW8ohBAVzBbP/zjM98r5623WdI7k5GSGDx/ON998U+xtKlDnthBCVC6pWekYtRqSfbywarXkXSn+sHdCCFGRWDWKw6OicXV15fLlyyXaRsohhBCinHz2fTcANm3aBNhulhVCiPtRRaoJvvHnkY1GI99++y3t27cvUTuSBAshhBBCiPtG4R+XAtuvvD7//PP069evRO1IEiyEEEIIIe6oIo0T/K9//atM2pEkWAghytH7zb8mrmpNXE0mEl5dwcgTQ50dkhBClJizfyXuwIEDxVrviSeeKHabMjqEEEKUkxlN1nC1QSO4Np6lxmwm4NghZp5+wcmRCSFEyWwI+MJhvv/VP9/T/Xfu3LnIdRRFYc+ePcVuU3qChRCinDTMzWK7OZ9LLlqCDAZCNS5offycHZYQQpSYs8shYmJiyrxNSYKFEKKc5GrMbA8PI09ne6ntc+okD5kynByVEEKUnLXilASXGUmChRCinMR5+9gTYICrej0+udlOjEgIIe5/2dnZvP/++xw6dIi0tDQKV/aW5GeTK9Cob0IIUbnkKR48fDUFAK3VyrO/HsbTpHVyVEIIUXKqRnF4ONPMmTM5fvw4L730Eunp6UybNo2wsDCee+65ErUjPcFCCFEOzp9I4EDj+mg9fHnIZEKnQp6XJ8Zsq7NDE0KIEnP26BCF7d+/n61bt+Lv749Wq6VLly40adKE0aNHlygRlp5gIUohPj6eiIgIkpKc8zO4kZGR/Prrr7ddPnv2bGbOnHnvAhI3+f1EEuHZ2SiAuwouQKKPNy7mHGeHJoQQ9zWr1Yq3tzcAHh4eZGVlERwczIULF0rUjvQEC3Efio2NdXYIoghXf0um/+GLLOwaRr5Oi5vVSoghjz+qhDk7NCGEKDFVqThdwQ0aNODQoUM88cQTREREMHPmTDw9PalVq1aJ2pEkWAhROSVlwDub4XgcKECmARpWhRBfMFng81jIMED1ANBqIDEDFBVSc0CngYg6kJsHx89Dfj4qGgyKB+dcauNuhTMhfszp3IV6qQkMOXuWq17e5GhdSPDQsrFZC5Jdm9C0SRVig3zQWlW6JqWS4h3A0J+2cjjkV1zMFuI8g/ju4Uc5HRREeEoCVTNNXPXyJsNdj9bVBbc8C9UvJXGlij9p/r6YNQrVkpKpmXAFTIDVind+Hg1yL+JODpd8qpMdFk7wqXj02Ub2tGpKroc7Hv5anp7dkPCHvZx8UYQQ96uKNDrEnDlz7DfDvfHGG8yfP5/MzEzmzZtXonYkCRaiCKtWreKLL74gPT0dT09PevfuzYABAwA4fPgwn376KUlJSTRp0oRZs2YRFBQEQHp6OvPnz+fHH38EoHXr1rzyyiv4+voC0KdPH/r27csPP/zA6dOnqVWrFlOmTKFRo0ZFxhQREcGyZcto1qwZAN988w2ffPIJ6enptG/fHgCt9gG+ActsgchZcMbx9+WJPXXzuifib34u3wLfnwasQD4AChY8VCOh5jSMWm+GD3qaOF9fHsvIZl2LLgCEZVzh3baPYXB1YfiWw1z28mDV0s2keun54MkW5Jhc+Nm3Mf3jYlHIZ0ez1lwJDscP0LoFUiX5HFWSczlbuypJPr7k6eG0u57HfjnFET8f0GiJDwqg5sUrtjg1GjysGTTOOAxA7YxTHM5oh1+mhW/aRZCndwMgN83CJ387xphPmhJY3f3uz68QQjhReHi4/T0uMDCQuXPnlqodqQkW4g4uXLjA+++/z4IFC/jvf//L6tWr7UkmwK5du/j444/ZunUrBoOBJUuW2JdNnz6drKws1qxZw5o1a0hPT2fGjBkO7a9bt45JkyYRExNDVFQU48ePJzu7ZENoHT16lHnz5vH666+zZ88eWrVqxc6dO+/uwEsgKyur4k0nZ96cAJfKjTexWfG05nHJz4+4ax9mFK2bfWmCbxUMLra+hYcvpTB164/USMui+aVkxu46gm9mBq7WfEBFRccfgTXs22Z7edqnfbJy7dMmFx06ixWPXCMoClYXF4eItIVi1GAlIP8qAHlurjcdTfzpnIpzjWRapmW6XKbLS0UaHaJt27bMnDmTw4cP31U7kgQLcQcFnzTPnTtHbm4u3t7eNGnSxL58xIgR+Pn54eXlRffu3Tl+/DgAycnJHDhwgAkTJuDj44OPjw8TJkxg//79pKSk2Lfv168fDRs2xMXFhWHDhuHm5sZ3331Xohi3bNlC586dad26NTqdjt69exerN7msFNycUKGmQ3zhsdolO5BbuvElUkum1oNaV9Oon5IMgEnNsy+tcTUO7zxbz3F8sC866/WxK8MMRlJCg2ibchDQopDPw0m/25d7ZdlumFOBq77Xyxbc8vLJc9GR4+kOqoouP98hIjNaCvZiQUuKWzAq4JlrvOloqjfyqjjXSKZlWqbLZbq8qIrjw5k++eQTPDw8mDRpEp07d+bdd9/l1KlbfNNXBCmHEOIOqlWrxuzZs1m7di1z5syhbt26jBgxgho1bD14BaUPAO7u7uTm2nrwCkaNCA8Pd2gLIDEx0b5dWNj1m6QURSE0NLTEI05cuXKFhg0bOjxXtWrVErVR6Wg0sG8aLNtrqwl200JKDjSrAd7utprfpXvgSqatTthFC+eugKvW1oPs7gZ9H7P1KP94GlIzsKKQhwtpGg80qpZl677gH527YsjPZNjP35Pi7Uumiwev7NnF/rp1+fkRf5r/4UHdpFy0mHks5xiH9A+hUy1srtOS8IwM6p67RI7qxv+qhFAt8wIJoR6kePtg0FnxzMnELc9CcOJVztYOR0VFMZmokZqMLkCH+aoZrFbMOm/+V7U9GjWXBN+qWB4KRzl6kaiffuXbZo+Q4etNlYfcGTz9YfxC9c6+MkIIcdceeeQRHnnkEV599VUOHjzI5s2bGTZsGMHBwWzatKnY7UgSLEQROnfuTOfOnTGZTKxbt46JEyfy+eef33GbkJAQABISEqhevToAcXFxAISGhtrXS0hIsE+rqkpiYqJ92+IKDg4mPt6xrjU+Pt6+3weWtztM6Hn75aO6lKg5DeAONLg2Xx/YZV/a9ab1v//6N34/mE2LpCMoWNEYVBok/sG3QY3pd/Zv9vV626eaFTOS2/fyP3LD/KPFbFEIIYpSkUaHKOyhhx6iTp06hIeHc/78+RJtK+UQQtzB+fPn+f777zEajeh0Ory8bF9TazR3/q8THBxM69atWbBgAVlZWWRmZvLee+/Rpk0bh97jjRs3cvLkScxmMytWrMBoNNKuXbsSxdizZ09iYmI4ePAgZrOZrVu3cuzYsZIfrChTmZkGzBZ3tFjQXCtYyFXdSPL2cXJkQghRclbF8eFMmZmZrFmzhmHDhtGlSxcOHjzI8OHDOXDgQInakZ5gIe7AbDazbNkyfv/dVrtZvXp15s2bh6vrzTcd3Wj27NnMnz+fQYMGAdCqVSsmTpzosM6AAQN4++23OX36NDVr1iQ6OtqeaBdXixYtmDx5MnPmzCEjI4P27dvTtevNPZPi3mrUrhZ7l+Zw0q02OouVTJ0XifpgUCzODk0IIe5rkZGRNG/enN69e/P+++/j41O6zgVFLRhoTQhxT/Xp04cxY8bQs+cdvrIX97VtgYvJy/fDLe9a4utj4UyoO+OO/cm5gQkhRAmtqLXWYX7o+cFOisR2L0yVKlXuuh3pCRZCiHKSr1GuJ8BAhsabdE+3O2whhBAVk7NHhCisLBJgkCRYiAppyJAhDjfNFQgLC2P16tVOiEiUhtXNBZNOg4vZNpZvlo87Wmumk6MSQggBkgQL4TR3GsZFEt3K4YfaD9HK9TLJBGDUu2L2NlEzJcPZYQkhRIlZK+joEHdDkmAhhCgnPlfTmNs+kjbxl7ni4UGKXsOA8yUf0F0IIZytIpVDlBUZIk0IIcrJG/8bxKBjJ4j38cHVYqbHz7/yt6RXnB2WEELc11RVZfXq1QwdOpQ+ffoAcOjQIbZu3VqidiQJFkKIcjT1cE+eG3aRISOvMOnkMGeHI4QQpaIqisPDmaKjo1m7di1/+tOf7PfPhIaGsmzZshK1I0mwEEIIIYS4o4qUBK9fv54lS5bQq1cvlGuxVKtWjUuXLpWoHUmChRCinC2e54mMyC6EEGXDYrHg6ekJYE+Cc3Jy8PDwKFE7kgQLIUQ5adv9IIP/cga/qlX54suHGdllv7NDEkKIUlEVx4cztW/fnn/961/k5+fbYlNVoqOj6dSpU4nakSRYCCHKSVBgAJmKwikvD0yqSlZAgLNDEkKIUlE1isPDmaZOnUpKSgotWrQgKyuL5s2bEx8fz6RJk0rUjgyRJoQQ5STO3Q0PrRZ/IMHPB4/cXGeHJIQQ9zWLxcL27dt59913yc7OJi4ujrCwMIKDg0vcliTBQghRTjQaDXXSMqiSnUOG3o3T3p7ODkkIIUrF2TfDFdBqtbz55psMHjwYNzc3AgMDS92WlEMIIUQ5efhqOvVTruJnzKNmeiaN0+TX4oQQ96eKVA7RqVMnYmJi7rod6QkWQohyEmI0Osx755ucFIkQQlQeeXl5jBs3jubNmxMaGmofIQJg3rx5xW5HkmAhhCgnWmM++VotrhYLFo2CPtvg7JCEEKJ0Kkg5BED9+vWpX7/+XbcjSfBtxMfH07dvX7Zs2UJISIizwxHlaNOmTfz73/9mw4YNZdpuREQEy5Yto1mzZmXarrh/XPL35aG0TFysKgZUfqgfwo7nf+S75a2cHZoQQpSIs0sgCvvb3/5WJu1IEizKzOHDhxk7diw//vijs0O5raVLl/LLL7+wePFiZ4dSZlatWsXq1au5evUqWq2Whg0bMn78eOrVq+fs0B54HiYzBg831Dw4UcWfmAa18TDlo7xxBXVuFWeHJ4QQ96UDBw7cdtkTTzxR7HYkCRbiPteuXTu6d++On58fJpOJr776ivHjx7NlyxaHOilRDG99DYu3w5UMjvvXZmuDjnjn5RB59kesGg276nck1d2HVid/JdklgLNVQjAE+BCUlYtntoG8fDP/Cw1gTZOHCDcbGJiXQZUsCxpVpW22Ac98E/9p2YCaWRno52ST5+ZW/NhU1fZ15LVr6uUCF0ZqCHCX+5uFEOWvoowOAfDGG284zKelpWEymQgJCWHPnj3FbkeSYGw9aV988QXp6el4enrSu3dvBgwYANh6Nz/99FOSkpJo0qQJs2bNIigoCID09HTmz59v7/ls3bo1r7zyCr6+vgD06dOHvn378sMPP3D69Glq1arFlClTaNSoUZExzZo1i4MHD5KVlUVISAgvvvgi3bt3B2Do0KF0796dP//5z/b1ly5dypEjR1i6dCmqqrJ8+XLWrl2L0WikV69enD17lmbNmjFq1Kg77tdsNrNixQo2b95MSkoK/v7+/P3vf6dLly7MnDkTi8WCm5sbu3fvxt3dneHDhzNo0CCSk5MZP348FouFyMhIAF577TV69+59230VtKfT6di7dy/u7u6MHz+e2rVrM3fuXM6fP0/Dhg2ZM2eOffy/4pzzAQMGcOjQIY4dO0ZYWBhvvPEGTZs2ZefOnSxfvhxVVe0xfvnllw5/BytWrMBgMNClSxemTJmCVqst8loVR1JSEnPmzOHEiROYTCbq1avHxIkTadiwIcBdXbNq1ao5zGs0Gq5cuUJOTg5eXl5lEv8DYfsRmPIfAAwubix94i/k61ypnXKBR66c5eMnniXZJwTvjGzSCEJnggZxyaSazOT4epLt70XopWQ2NqiFUa9n5PfbCcqEdH1V+y6CrtUEXwgKITgrg2S9vvjxKQqFf3s52wQt/2Pl9xGSBAshyp+qVJzXmhtHhrBYLHz44Yf2n1IuropzRE5y4cIF3n//fRYsWMB///tfVq9eTfv27e3Ld+3axccff8zWrVsxGAwsWbLEvmz69OlkZWWxZs0a1qxZQ3p6OjNmzHBof926dUyaNImYmBiioqIYP3482dnZRcbVtGlTVq5cyd69exk+fDgzZ87k3LlzgC3R27x5s31dVVXZsmULffv2BWDLli2sWrWK+fPns3PnToKCgjhy5EixzsfixYvZtm0bb731Ft9++y0fffQRNWvWtC+PiYkhMjKSmJgYJk+ezLx580hISCA4OJjo6Gi0Wi2xsbHExsbeMQEu3F5UVBQxMTG8+OKLzJ07lyVLlvD222+zc+dOFEVh6dKl9vWLc843btzIpEmT2LdvH61atWLmzJkAdO3aleeff54WLVrYYyxIIBMSEkhNTWXDhg2sWLGCPXv2sHPnzmKds+JQVZXBgwezefNmduzYQYMGDZg8eTJmsxm4u2sG8PPPP9OxY0fatGnDggULePbZZ+9ZApyVlVU5phPS7M8ZXPTk61wB8DHa/r9muXkDoDOZKUxrsdinLTotBq0WNAo+RgPa/Awy9K725QdrXC+ByHYrQQJ8G1eNFeC8ybRMy3SFmn4QabVaRo8ezbJly0q03QOfBBf09J07d47c3Fy8vb1p0qSJffmIESPw8/PDy8uL7t27c/z4cQCSk5M5cOAAEyZMwMfHBx8fHyZMmMD+/ftJSUmxb9+vXz8aNmyIi4sLw4YNw83Nje+++67IuPr374+fnx9arZZu3bpRr149fvrpJwC6devG+fPnOXnyJGDrrc7IyCAqKgqArVu3MnDgQBo0aIBOp2Po0KHF+iUVVVVZs2aNvZ5UURRCQkIcaksjIiLo0KEDGo2Gzp074+3tzalTp4ps+3YiIiJo164dGo2G3r17YzAY6NWrFyEhIej1eqKiokp8zgcOHEidOnXQarX079+fS5cuFfnBQ6/XM3r0aFxdXalevTotW7a077cshIaG0qFDB/R6PXq9njFjxpCYmMjFixeB0l+zAs2aNWPfvn3ExMTwyiuv0Lhx4zKLvSje3t6VY3pga2hi+8AXkJtBm3OHADhdpTaXfEPpdCYWjdVCpp83GsWWCOfoXcnysfU8uOSZ8E7PodvZy2Aws/yx9vwv5FF2NqzCuqZ1+LhNI76vc61XWFWpfyWOElFVFItjAv52hwpw3mRapmW6Qk2Xl4o0TvCt7N+/v8QlgA98OUS1atWYPXs2a9euZc6cOdStW5cRI0ZQo0YNAHvpA4C7uzu51372NCkpCYDw8HCHtgASExPt24WFhdmXK4pCaGiofdvbsVqtfPTRR+zcuZPU1FQURcFgMJCWZuup8vHxoUOHDmzatIkGDRqwceNGunbtiv7aV6tXrlwhNDTUYb/FGeEiLS0Ng8FgP/ZbKXw+wPGclEbh9griv/G5kp7zG68ZUGRpgL+/v0Ppw90e140Kyjh++uknsrOz7f9RC65paa/Zjby9vfnTn/5E586deeihh6hdu3bZHMCDwNcTDs+D0wmQkcuzefl0P3qRvBwTPj2eQhcYRKuj+fx20YQ5zUqyScv/QoMxuehAcSXYYuJUs2ocr+6Lr9VAulEhzVVLg1QzXz1aHaPu2t+XqhJ2JYETXgG4Z2RguPY3CqAz5aOzmFEUDYpqJdfbGy/FQnUM1K7qzostXMnOh3OZMLQRPOT3wL+ECyHukYpUE9yhQweHhNdgMJCfn3/TN8NFkVdQoHPnznTu3BmTycS6deuYOHEin3/++R23KUhQEhISqF69OgBxcbaencLJTEJCgn1aVVUSExOLTG527NjBhg0b+OCDD3jooYfQaDQ8++yzqIXqAfv27cu0adMYMWIEe/fu5cMPP7Qvq1KlComJiQ77LSrxBlsiqNfruXjx4h0T4dvRaMr3i4XinvM7Ke8Yb+eDDz4gJSWFzz77jKCgIHJycujQoYP9mpb2mt2K1WrFZDJx+fJlSYJLytUFGl//2w/ufH2RD9BnEPQBoHUxGgtlwMBMvNAy+sfTnA70Zn/NYDLcXLj8VrXb/C163Kat2z0vhBAPnrffftth3t3dndq1a5e4DPCBL4c4f/4833//PUajEZ1OZz+BRSVLwcHBtG7dmgULFpCVlUVmZibvvfcebdq0ceiJ3LhxIydPnrTfcGY0GmnXrt0d287JyUGr1eLv74/VauWbb77h9OnTDuu0atUKvV7PjBkzCA8Pdyjh6NmzJ+vXr+fUqVOYzWZWrlxJcnJykedCURSeeuopFi5cyNmzZ+2J2JkzZ4rcFiAwMBCLxWJPTMtacc95UTEmJiZiMt3bX+7KyclBr9fj7e1Nbm4u77//vsPy0l4zgLVr15KUlISqqqSnpzNv3jzc3NzuaUmEuDU/rTuZejdSPdzRm6HX8cuEJRxz2ocxIYQoNeWGhxP99ttvPP744/ZHkyZN8PLyYvny5SVq54F/JTabzSxbtoxu3brRsWNHVq1axbx583B1dS1y29mzZ+Pp6cmgQYMYPHgwXl5e/OMf/3BYZ8CAAbz99tt06tSJXbt2ER0dXeQnld69e9O4cWMGDBhAz549+eOPP2jevLnDOhqNhp49e/L999/Tp08fh2W9evXiqaeeYvz48XTt2tU+skVxjumll17iySefZNKkSbRv355Ro0Zx6dKlIrcDqFmzJoMHD2bYsGF07NiRLVu2FGu7kijOOb+TLl26EBISYr/e5ZWw32jUqFGkpaURFRXFM888w6OPPupQfnE31+z48eMMGzaMyMhI/vSnP5GcnMzixYvx9/cvz0MSxaCqCg9lZBJkNFIzKxu9xUr8ey2cHZYQQpSYqigOD2datGjRLZ8v/K14cShq4e/YRZnq06cPY8aMoWfPnk6Nw2q10qtXL8aPH28fZk1UbHLNKocRTx0nzcOdbFdX9GYz1TMyef/rJkVvKIQQFczClo4jJo071PWex1DwIxljxoxhyZIlDmWily9fZvHixezdu7fY7UlNcCW1Y8cOOnbsaB9/1mg00qZNG2eHJe5ArlnlY9BqyL7Wm2/U6ch0cXFyREIIUToVYUSIgh/JyMvLY+rUqfbnFUUhODiYadOmlag9SYKdZMiQIQ43zRUICwtj9erVd93+6tWr+ec//wlAnTp1iI6OxsfHh08++eS2NTMLFy68qezibmzbts0ew42mTp1Kjx49ymxf5eVOx+Dv728f3aGw0l7DinDNRNkyaBx/bEVBvngTQtyfnF0CAdd/JOPVV19l3rx5d92elEMIIUQ5GfHUcTL1buS4uOBhMhOYa+DDdUX/YqQQQlQ077Xe7TD/8g9dnBRJ2ZGeYCGEKCfZFiv+eSa8LVY0VisWq9XZIQkhRKlUhJ7gAtnZ2bz//vscOnSItLQ0h9rgffv2FbudB350CCGEKC9fft0YQ54RbX4+qsHIR+vlpjghxP2pIo0OMXPmTI4fP85LL71Eeno606ZNIywsjOeee65E7UhPsBBClKPPvmnGpk2brs01dWosQghRGezfv5+tW7faf+21S5cuNGnShNGjR5coEZYkWAghhBBC3JGze38Ls1qteHt7A+Dh4UFWVhbBwcFcuHChRO1IEiyEEOVIeccM2MbTNPe0OPxIihBC3C8qUhLcoEEDDh06xBNPPEFERAQzZ87E09OTWrVqlagdqQkWQohyYkuAAbSAFt0CGYxHCCHu1pw5c6hatSpgGztYr9eTmZlZ4mHTpCdYCCHuod+TzNQJkZdeIcT9pSL1BFevXt0+HRgYyNy5c0vVjvQECyHEPbTjuLMjEEKIklM1isPDqbGoKqtXr2bo0KH06dMHgEOHDrF169YStSNJsBBC3ENJWc6OQAgh7m/R0dGsXbuWP/3pT/Zf3w0NDWXZsmUlakeSYCGEuIe0UgkhhLgPVaRxgtevX8+SJUvo1asXyrVYqlWrxqVLl0rUjrwcCyHEPWQ0ODsCIYQoOWcnvoVZLBY8PT0B7ElwTk4OHh4eJWpHeoKFEOIeskjXgxBC3JUOHTrwr3/9i/z8fMBWIxwdHU2nTp1K1I4kwUIIUQ6yss23fD7M7R4HIoQQZaAilUO8/vrrJCcn06JFC7KysmjevDnx8fFMmjSpRO0oqqrKwJWizCQlJdGrVy82btxIeHj4Pd13nz59GDNmDD179rzl8qVLl/LLL7+wePHiu97XyJEjefzxxxk+fPhdtyUqhlyTil4HGkXBYFI5GG+hjr9CqJeGPectHDgPeVbYcAJO5pVfHLV14OEKwZ5wNgVqB8Fzj8KAh8HfQ8e23814uUKbcAWtVssfaWZcdQpGMwS7K6QarLhpIdUAJ65CXV+IzwGLGV7eC2+3gcHNpDtaCFEy/+q832H+9Zi29zyG5ORkgoOD7fOpqanExcURFhbm8HxxySuhcJqZM2ei1WqZPn26s0MRD7jxMRYWHlGp4gGtQ2HjuYIlKmC5p7H8YQbMQK5t/nIyxO6BF/dwbcH12DSYsdrjLPzv7T21G9htRp0kL/9CiOJzdu8vQLdu3Thy5Ih9/v/+7//44IMPSt2elEMIIR5ox1NUFh6xJY9XcgsnwBWf9S62jb18N1sLIR40FaEc4sbihYMHD95Ve5IEi7uSkpLChAkT6NChAwMHDuTAgQP2ZQcPHmTYsGF06tSJLl268Prrr3P16lUAPvvsM7Zt28bmzZuJjIwkMjISi8XW47Zv3z7++te/0rFjRwYPHsy2bduKHU9cXBwvvvgikZGRPPvss/zvf/+77brp6enMmDGDbt260a1bN/7v//6PjIwM+/Lc3Fzee+89+vXrR/v27Xnqqac4evToTe1YLBb+9a9/MXToUFJTU+8Y38iRI1mwYAGTJ0+mffv29OvXj3379tmXL126lJdeeummbQrGPjx8+DCtWrVi+/bt9OvXj3bt2jFjxgyys7OZM2cOnTp1onfv3sTExBTndJWJrKys+3rakpeD8/s37j1vl4px/mVapmW6bKcrM6WMk2/5PkzclenTp+Pp6cmWLVswGo289tpr9mWurq68+uqrPPzww6Snp/P666/zzjvv8M9//pNhw4bxxx9/3FQO8cMPPzB79mzeeecdmjZtyvHjx/n73/9OSEgIjz32WJHxrFu3jgULFlC3bl1WrlzJ+PHj2bBhA15eXreMXafTsWbNGvv8jBkziI6OBmD27NkkJyezePFiwsPDuXz58k1t5OTk8Prrr+Pi4sJHH32EXq8vMsbNmzczf/583nrrLb788ktmzpzJ9u3bi7Ut2JLun376ia+++or09HSeffZZnn/+ecaPH8/UqVP5+uuv+cc//kGbNm2K3ebd8Pb2vq+nm1T1YlEXK/MOWqnuAz1rwevf3XSYFZKPK2Tml27bZiEawPnnX6ZlWqbLdrq8VIRyCIvFwg8//GDvETabzQ7zAE888USx25MkWJTalStXOHTokD3J9PLyYsSIEfztb38DoFmzZvZ1g4KCGDp0KP/4xz/u2OaqVat4+umnad68OQCNGzemR48ebNmypVhJcL9+/WjYsCEAw4YNY82aNXz33Xd0797dYb3k5GQOHDjA119/jY+PDwATJkxg8ODBpKSkoNFo2LVrF1999RVVq1YFHH+rvKCNESNG0Lx5cyZOnIhGU7wvVrp27UrTpk0BGDhwIAsWLODixYvUr1+/WNsDvPTSS+j1ekJDQ2nRogUGg4F27doB0Lt3b958880St/kgG9NMw5hm16/flNZ336byzq1Hh3jjYZjTR156hRD3F9X5OTCBgYFMnTrVPu/n5+cwrygKe/bsKXZ78kosSu3KlSuA7acKCxQkjAAnTpxg0aJFnDlzBqPRiKqq5Obm3rHN+Ph4Dh8+zMqVK+3PWa1Wh4T6TsLCwuzTiqIQGhpKUlLSTesVPFd4BItq1aoBkJiYaH+uZs2at93Xvn37UFWV559/vtgJMNj+Exdwd3cHKPK8FKbVavH397fP6/V6+6DhBfMlbVOUPXWS7paJsCKluEIIUSplXeonSbAotYLhSBITE+0JZHx8vH351KlTiYqK4s0338TLy4vY2FgmTJhgX36r2p7Q0FB69+7N0KFDSxVTwW+Ig62APjExkZCQkJvWK3guISHB3sMbFxdnj6Egqb148SIPPfTQLff11FNPkZOTw8iRI1m8eLHDh4HS8vT0xGBw/EmxlJSUu25XVBw5t+4gFkKICq0ilEOUNbkxTpRaSEgILVq0IDo6muzsbFJTU+03cIGtXtbLywtPT08SExP59NNPHbYPCgoiLi4Oq/V619if//xnvvjiC44ePYrFYsFkMnHixAmOHz9erJg2btzIyZMnMZvNrFixAqPRaC8TKCw4OJjWrVuzYMECsrKyyMzM5L333qNNmzYEBQUREBBgT+Dj4+NRVZVLly7d9Lvk48ePp0ePHrz44otcuHChBGfv1ho0aMDJkyc5ceIEZrOZr776yp6ci8qhpo+zIxBCiJKrCKNDlDVJgsVdmTt3LiaTiV69ejFixAh69eplXzZ16lQ2bNhA+/btmTx5Ml26dHHYtl+/fhgMBqKioujYsSMWi4XWrVszbdo0oqOj6dKlC927d2f+/PnF/mp/wIABvP3223Tq1Ildu3YRHR19y5viwHbjm6enJ4MGDWLw4MF4eXk51CzPmDGDhx9+mJEjR9K+fXsmTpx4y9EfRowYwV/+8hdGjhzJmTNnihXn7URERPCXv/yFv//973Tv3p2rV6/a64dF5eDi7ACEEEIA8otxQghRbm5VEzy1NswdJJVoQoj7y//1OOQwP2tbSydFUnbklVgIIe6h8ABnRyCEECWnVsIR1SUJFveNf/7zn7f94Yw1a9aUyY1pd+uTTz5h+fLlt1y2cOFC+9Bv4sH1dISzIxBCCAFSDiGEEOXGsRxCBRTUSdL3IIS4/0zv+ZPD/OytLZwUSdmRG+OEEKKcXE948wGDJMBCiPtWZRwdQl6RhRCiHKmTdGzaVFDG08epsQghhLhOkmAhhBBCCHFHlaX3tzBJgoUQopyc2nmWSwM3E6Y1gWLlJfPvLM5+2dlhCSFEiamVLweWJFgIIcrL6QG7aWJOwyVXQauqPO8nt2EIIURFIUmwEEKUk9wgLTsCHuPTpo+iN5v4x45bD/EnhBAVnVXKIYQQQhTXuerhRD/2ONk6HQadltH9+vE/ZwclhBClIDXBQgghis3TmE+nuCSyvNzxzDdxwNfb2SEJIYS4RpJgIYQoJ7p8E5sfqU22qw6NVaXz+XhnhySEEKUiPcFCCCGK7WRQMNmutpdZq0bhd39fJ0ckhBClUxlrguVWZSGEKCdNEs6jFPpl+ocS0zCbTE6MSAghRAFJgoUohnHjxvHZZ585OwwAtm3bxjPPPHPHdVq1asXhw4fvUUTidgJzVd5Zu5U2Fy7x159+4cU93/HUk/ucHZYQQpSYqjg+KgMphxCiGBYuXGifjoiIYNmyZTRr1swpsfTo0YMePXo4Zd+V1cbTFhb/ZOFoIni6qjziD79ezKPuH5n45JnQmcx4qmBRFK7qtOTrdFxw06K4ang0IZ5nfv4Wz3wjm+s/xi9V65Kjc8WqmHjOz4O//vozf/3tZwB+rlKFk9WqUXXUZYKMBq66aAnMteCqAdVFwSsrlxPBgWS46wnKzabzH8eICwon08UV/6wsnrx4mSQXN9Y1akrtjGzCM69yKiiAs75+jPj5MI2vXGFZ8xacrBLCFe9CN+FptaBaUawqbi4a6gYqNL16Fd2xFHzqeDMuUseBzy6inkwiSwcqCiaNnq0P1eJQzTBc800YAz34sL8Lf2mmB2DpQRNrj5n4NRGq+0GP+jouZ1g4kwoDHtEwsZ3bvb+QQohyo1JJMt9CJAkWQjzQPj5qYeQ2i21GVSEHLidbePJSBqpGId/FBW+zBQVI8nDHqlFQgZQAb9L1rlz08+HxpAR8DNmcqtmYA9UDsWoU/NMNfNSqHd1PnyPAaATgbEAAIaqO016ePJGRjTbPyuraVUEDHvlmWpkTaXwljR9qViXLzYtvGrTm6eP72V27CX0Sr5DvEsBnTRuS4eZKkrs7f87Mxi8vn75/nOX1778DIPLSBRqMm2hLfAtTNKhaMFpUrp7NpuUPx1EA9eIV/r+9+46v6f4fOP66Izc3kcgeIlbVaI3SxighIQQhQapKv1bN4kerOrTGN1pUaa1SterbfqtGSxC7iDZfs0Zb1CgVI1MkITu54/dH6tZFFokr8X4+HvfxOPNz3p9zTnLf93M+55zPj9oT9OcFnrsWzUmv6pyp4o1KoaDr5RiOVq/CdQd70EG/7/U422Tzwx8KvjqmNxWdmAnHYnWm8f1X9Oz4M4sfX7MpwyMnhBAPR5JgIYph+PDhNG/enD179gAwevRolEolgYGBTJ48mezsbL788kv27t1Leno6DRo04N1336VatWqm9evXr09sbCxHjhzBycmJiRMnYjQa+eyzz0hISKBZs2ZMnTqVSpUqFRpLREQEK1asYOPGjQBkZGQwa9YsoqKisLW15fXXXy/TfVHRzDnyTzKHQgFGI+7ZuRiV/7R6qA1GMqzUGP6epgCcs/NI1WrIUavY/GwTaqXeJMZOi16V38vMOiePOqm3mNS+Ax0u/kmSrS3fNXqOHnGJ/FTFjV8dK9Pnajy2Oh2ZVmoyra2IrF+LWat3cNS7imnbO2s1puGNZBxy8/jNxYmb1hoAdEolfzrYk6Ox4uUj+03LO+bk0OrqFSJrP33/CisU2Oflmdp0FIBjXi41biQCcNnFLX8/kN9fzicukd21q5vWHbHJwM2covfrvr+MRS8khCg35MY4IZ5wq1evBmDRokVERUUxefJkAKZNm0Z0dDQrV65k586dNGzYkDfffBOd7p/WsW3btjFo0CAiIyMJDAxkypQphIeHs2zZMjZv3szly5dZs2ZNiWP67LPPuHr1KuvWrWPNmjX89NNP6PX6olcsJWlpaeV6+Hm3f47RbTc1arMb2gwK0OgN+S3Ff8uw+rsNwWikXlIi7reScczJA6MRhTH/cUI1k1PwTUzhirMHOVp7Xj91ljib/O4Ezrl53LJSk/13i63CYMQ75RYXXJ0x3PFdU/1WEtGODhgA96wslIZ/YvDMzCJPCX+4uZum5SmVnHN1vadOdzLcNZ5mpeamjS0A9tlZpulGjFxyqvzPgkYjIfUVVHcs+svQ3e7xOL4yLMNP2nBZMSoUZp+KQFqChXhIqamp7Nixgy1btuDi4gLAsGHD+O677zh16pSp73DHjh1p2LAhkN+vd+XKlfTv3x8Hh/zHZvn6+nLmzJkSbdtgMLBjxw7mzZuH69+Jz5gxY4iMjCyl2hXN/o6+p+VxeFWoLTdW57L3MuQZAAVkW1txprINz97MQmk0kgXYGwy4Zedw00pNrlKJTW4eXgY9zyYlMezAVtzTUrhl1YtMJcRUtsVel4MyL5fW58/jfiv/C+qSa2XmNW1EjfRMXLJy2ODpSuWMbOzydDjpc3gmJoHlPg1BqcQmT8ez12OomZVKtm0lfvG0o9bNbF45f56DXlXxzMwiRwU1U67zUeu22OXk8Oz1RL5q8gLXbSuBwWBq0TVjNPKnqyM/Va/CM0kpXLO3o1OlNI5Vf4oMjTVON29w09qaPLUVR7w8uVzZDpVOj16poJazkoUhNuj1ep7/Ipc/Eo3ojPmtyV52kJoDuXqo4QhRw7TY2//TzvI4HGsZluEnYVgUnyTBQjykmJgYAPr06WM2XafTER8fbxq/nSADaLX5rYGud7TYabVaMjMzS7TtlJQUcnNz8fLyMk27c1gUz46+mvtMLe6NXU7AJACWmU2vzOCul0wJMIDrrWyax8ezZkuzAsqqede4y/0WKkA/APyA4j3HpFGRS4wuoCyVSsVvY6S/rxBPkorS+nsnSYKFKCHFXf8IqlTJ778ZHh6Ok5PTI43F0dERKysrYmNj8fb2BiAuLu6RxiAK1ig2DiOY+t9a5+rJTJPjI4QofwwVLweWPsFClJSLiwtXrlwxjTs7O9O5c2dmzpxJYmL+zUVpaWlERkaWuGW3pFQqFZ07d2bJkiXcuHGD9PR0Pv/88zLdpii+ejFx5KJBhwodKrLQsPmnEEuHJYQQAkmChSixUaNGsWTJEtq1a8f06dMBmDRpEjVq1GDEiBG0bduWPn36sHv37ntajcvC+PHj8fLyolevXvTp04e2bduiuvvxWMIi9tethh3xWJOODcmo1GV/84oQQpSFinhjnMJoNMpzbIQQogx88fwKRp3Yahr/w6UGzybNtWBEQgjxYEa+cs5sfPHaehaKpPRIS7AQQpSRqjczzMa90lMtE4gQQoh7yI1xQjxmTpw4wdixY+8777XXXmPw4MGPOCLxoP6qVAVQkf9kXgUZVvY4WjYkIYR4IBWlC8SdJAkW4jHTtGlToqKiLB2GKAVGnZGTzg1olHyOLLU1v1Z+lqqWDkoIIR5ARXw6hCTBQghRRmLRcbpSTeLwQqPLYb+TC10tHZQQQghAkmAhhCgzn/7xKgARERHkADOCgy0bkBBCPCCDdIcQQgghhBBPmorYJ1ieDiGEEEIIIZ440hIshBBlyPmdG9yyDcAIaA6mkjXD0dIhCSFEiVXEG+OkJVgIIcrI871PkKm1Rm+txmCtRm9lhaLHMUuHJYQQJWZEYfapCCQJFkKIMqLSWJGj+eeCW561FTYeLhaMSAghxG3SHUIIIcqItc4Id76Y3mBEmae3WDxCCPGgKuLTIaQlWAghyohzWhpk5eW/NM5KAQojSrX82xVClD8GhcLsUxHIf2MhhCgjFzzc8SQPVEpQKMBaTdpTXpYOSwghBJIECyFEmXkuPpabdrZm0xTGAhYWQojHmEFh/qkIJAn+29ixY/n6668tHYawgOHDh7N8+fJSLTMiIoIePXqUapmi/MnU2GKbpzObpjBKFiyEKH8MKMw+FYEkwX9bsGABAwcOBMDHx4dff/3VsgGVQ2FhYXz00UeWDqNQwcHBbNu2zdJhlJrk5GSmTJlCt27daNOmDT169GDlypUYJdF6LOQYc3HIyIGULLiRCTk6DNInWAghHgvydAghyrHMzEyeeuopRowYgZeXFxcvXmTcuHFYWVnRr18/S4dXPl25Dr1mwbG/wFC8HxMFLfV+tXp0f6oeGP9+IkRqNmonDY5hOdy01eavaTSCQonKoCf00BlS7G246lwZt5RMkh3sydJaYavX45WWRb3YBJyT0zhSuzqZNloq5+lwsDbSySGTzKgYjHojTQfVokpbT07vvYFbTRteCPZAUUFuYhFCWI68NrkCu31JvG/fvgCMHj2aNm3amFo2s7OzmTdvHiEhIbRv354xY8Zw9epVs/XnzJnD22+/Tdu2benevTtHjhzh8OHD9O7dGz8/P95++20yMjKKjOX8+fMMHz6cgIAA2rVrx9ixY7l27RoAFy9epGXLlqSkpJiWNxqNdO/enS1btgCQlJTEuHHj8PPzIzQ0lI0bN+Lj40NsbGyR246NjeW9996jU6dO+Pv7M3jwYFJTU4H8FvLvv/+eAQMG0LZtWwYNGkR0dDQAX3/9Ndu3b2fLli20adOGNm3aoNcX/igoHx8f1q5dS//+/fH19WXw4MEkJCSwatUqunbtSkBAAIsWLTJb59ixYwwcOBA/Pz9eeukl1q9fb5p39OhRWrRowa5du+jevTt+fn5MmDDBtM/HjRtHfHw806ZNo02bNowePdq0blpaGu+8847p2O3bt6/IfVUSO3fupG/fvvj5+dGpUyemT59OVlaWaf6DHjNvb28GDRpE1apVUSgUPP300wQGBnLsmLyQ4YEYjdDiPfjlYrETYABFAZ9nk2LR39kqbwSd2oqbdjYoMYJSCSoVKBXo1WrOeruxv34N/vJ0IdmhMkqjgkpZOhJstSRZW5NsZc3JGlW55liZZGsN0ZVsyM6CP47dQpelR59r4JelF1n19h8ci0hgx+fR/BIeX6q7SAjxZJI+wU+A1atXA7Bo0SKioqKYPHkyANOmTSM6OpqVK1eyc+dOGjZsyJtvvolO909/v23btjFo0CAiIyMJDAxkypQphIeHs2zZMjZv3szly5dZs2ZNkTEoFAqGDx/O9u3biYiIwMbGxhRH7dq1qVu3Ltu3bzctf+zYMVJTU+nQoQMAkydPRq1Ws3XrVpYvX17sy//Z2dmMHDkSZ2dn1q9fz+7du02tirdFREQwa9Ysdu/ejYeHB7NmzQJg4MCBdOnShW7duhEVFUVUVBQqlarIbW7fvp1PP/2U3bt3o9FoGDlyJGlpaWzcuJHFixfz7bffmrqmxMTEMHbsWHr16sWePXsICwtj0aJF7N6921SeXq/n0KFDrF69mg0bNnDu3DnTPp87dy6enp5MmjSJqKgoswR7y5Yt9OvXj3379tG7d2/CwsLIzs4u1n4rDjs7O6ZNm0ZkZCTLly/n119/ZcWKFab5D3rM7mYwGDh27Bh169YtrdCLlJaWVnGGYxIhPpXSklTJHv+4RFQGAwBt4q9jo8v/cai6T5eVq64OZFlbYZ2nR3nHbG2enjwrFQmV7bhR6Y4b7RQKslVKbLNz/pkEGHP++QEadyHj8di3MizDMvxIhkXxSRJcDKmpqezYsYMJEybg4uKClZUVw4YNIykpiVOnTpmW69ixIw0bNkSlUtGlSxeSkpLo378/Dg4OODg44Ovry5kzZ4rcXp06dfDx8UGj0WBnZ8ewYcM4efKkKSkLCQkhIiLCtPzmzZvp2LEjWq2WhIQEfvnlF9544w3s7OxwdnZm6NChxapnVFQU2dnZjB8/Hjs7O9RqNY0aNaJSpUqmZQYMGICnpycajYbg4OBi1acw/fr1w8PDA61WS0BAADdu3GD48OFYWVlRt25d6tSpY9rGzp07qVevHsHBwabYbrea3mnMmDHY2tri4uKCv79/sWIMDAzkueeeQ6lUEhoaSnp6OleuXHmout2pdevW1K5dG6VSSbVq1ejVqxdHjhwBeKhjdre5c+dy69Yt+vfvX2qxF8Xe3r7iDHt7QOv6lJY6N+KpmZHOxF/P8P5vZ+gQl0iuSglGI7q7Ly0ajbQ6dwWv5FtkWqvzlyO/q0WmtQpNdh71469TJ/GG6eY6lcGIjV7PzTsSYyNg56kFQKGEZ9u6PB77VoZlWIYfyXBZqYjPCZY+wcUQExMDQJ8+fcym63Q64uP/udTo4vLP61C12vwvIVdXV7NpmZmZRW7v2rVrzJ8/n1OnTpktn5KSQpUqVejUqRNz587l7NmzVKtWjb179/LFF18AcP36dQA8PT1N61WpUqVY9YyNjaVq1aqo1QWfFg9Sn8LcXZ6TkxNKpdJs2u3uDAkJCVStWtVsfW9vb3766SfTuEqlwsnJqcQx3nnsbGxsAB66bnc6dOgQy5cvJzo6mry8PPR6Pc7OzsDDHbM7zZkzh/3797N48WLs7OxKJ/AnUeSHMH8LLN0FV5IgR1fkKob7TDMC//OoyXk3DdVuWqPRG9hZvxo1b6SSjpIEF3ussnJQ6w1kazUYgVhHexxvZmCdnYtzahople3RW1sRUCkHV6MBVxsn0k/f4PmYOG66OWJvpaBey0qE1LIhepuCzOu5BH78HBona6J/vYlrNRs8ale6T3RCCFEyFeWJEHeSJPg+7r6J5HZCEh4ebpZglZUZM2bg5ubG6tWrcXR05MKFC/Tp08d0x7+9vT1+fn5ERERQp04dPD09ady4MQBubm4AxMfH4+3tbRouDi8vL2JjY9Hr9cXqynC3sr75xsPDg/3795tNi4mJwcPDo9hl3JlgPyp5eXm8/fbbjB07lpCQELRaLWvXruXbb78FHu6YQX4XiBkzZvD777+zdOlSsx8W4gFYqeHtHvmfYirorBox8CJKR0dyNLn5LboKDfFOWowTNH8vYX3XGtXvGPakJBp1Mf/h1MBfzgMhhCiMdIe4DxcXF7NL4c7OznTu3JmZM2eSmJgI5Pe/iYyMLNXWwtsyMjKwsbHB3t6e1NRUlixZcs8yISEh7Nixg/DwcIKDg03TPTw8eOGFF1i4cCEZGRmkpKSY9T0tjK+vL1ZWVsyZM4f09HR0Oh0nT54s1s18kN+qGxMTg8Fwv3axh9epUyfOnj3Lli1b0Ol0nDp1ig0bNtC9e/dil+Hi4mJ2Q+OjkJeXR15eHpUrV0ar1fLXX3+xbt060/yHOWY6nY5Jkybxxx9/SAL8GNLr9Xhk5gL5fXWrpmVTARtThBBPAL3C/FMRSBJ8H6NGjWLJkiW0a9eO6dOnAzBp0iRq1KjBiBEjaNu2LX369GH37t1l0vr51ltvceLECfz8/Bg6dCi+vr73LNO8eXO0Wi1nz56la9euZvOmT59OdnY2QUFBDBkyxHTDnEajuaecO9nY2LB48WISEhLo2bMnHTp0YP78+WY3/xWme/fuZGVlERAQgL+/f5FPhyipqlWrMn/+fNatW0dAQABTpkzh9ddfp2PHjsUuY/DgwWzbts301I1HwdbWlgkTJrBgwQLatGnDJ598QufOnc2WedBj9ttvv7Fr1y6io6MJDg42PZnjUdVNFC7J1Z68O/5H5Kjz+wMLIUR5UxH7BCuM8lT9Cu/gwYOMHz+e/fv3y/NCywk5ZhXDs4OjsbGxRa9UoFcoyLRS8peTBuMk6bMthChfug29Zja+Zbm3hSIpPdInuAI6d+4cSqWSp59+mpiYGBYvXkzHjh0lmXqMyTGrmHRqJVVu3aJ+XAzRTk784VUF1eUbgCTBQojypaI8G/hOkgRbwIkTJwq8XP3aa68xePDghyo/LS2NadOmkZSUhJ2dHa1atWLcuHEA9O7dm7i4uHvWqVKlilk/1dIwduxYTpw4cd95UVFRpbqtslJQHXJycrC2vvumpnwPcgwfl2MmSle1+OvM3rsT94x09AoFk7oEk+gm/baFEOVPRXw6hHSHEEKIMvJG211MidpnGt9e/1nGtmlD8tIaFotJCCEeROdhMWbjO5ZVLWDJ8kNujBNCiDJyWacj+47nbh+tVhUyblgwIiGEeDB6hcLsUxFIdwghhCgjGw8E8WqgDT4pyZx1d+OHqtVJXlrT0mEJIUSJSZ9gIYQQJfLdrnb5L7bhJkuDa1o6HCGEEH+TJFgIIYQQQhRKXwFvjJM+wUIIUcaWj81i6UJX3n030tKhCCHEA5E3xgkhhCiRLt2P8b9+ndjerinbMp7meb+dlg5JCCEE0h1CCCHK1JHGtUmubAvA6ZqetLyZYeGIhBCi5CrKq5LvJEmwEEKUIZ1aBXd8ecR4OlkwGiGEeDAV5bFod5IkWAghylDNhJvUun4F91sZ7G1Uk7rR8YCHpcMSQognniTBQghRhl7930lqXb8FgN/py6zzqWvhiIQQouR0lg6gDEgSLIQQZUit15uGrfQGrjvaWjAaIYR4MBWxO4Q8HUIIIcpIliKUTtf2g9EIQIKDDXGOlSwclRBCCChGEjx27Fi+/vrrRxGLEI+VJUuWMGrUqAdaNywsjI8++qiUIxLljRaon3YB7+yrOOSlkGWfiV12RbyoKISo6HQK809FUGQSvGDBAgYOHAiAj48Pv/76a1nHVCYiIiLo0aOHpcN4IpWHfV9ek9bs7Gzee+89evbsSbNmzVi+fLmlQxJ3OVOpHpUMmWgMeVSLgRf+irN0SEIIUWI6FGafikD6BD9iOp0OtVp2uygdCoWCxo0b8/LLL7Nw4UJLh1NxGQzQ+n049GexFjf+/VEAT2f9yYSgvnzVrCMZ1hpsc3JZOz0LjEYq5eYxesdR6sdep27aZez1mcxsF8jPz9aifmICy9b+F9usPIwKBT+7PE+2Spu/AYUCh2ccUFopSTmZAkpQapQYsg2otCq0bloUKgXWztbkJOfg3dWbxhOfK6u9I4QQ5VKR2djw4cNp3rw5e/bsAWD06NEolUoCAwOZPHky2dnZfPnll+zdu5f09HQaNGjAu+++S7Vq1Uzr169fn9jYWI4cOYKTkxMTJ07EaDTy2WefkZCQQLNmzZg6dSqVKhXdV27v3r2sXLmSq1evYm1tTUhICKNHjyYhIYFp06Zx5swZ8vLyqFOnDuPHj+eZZ57h999/5+OPPyYvL482bdoAMHfuXHx8fLhw4QLz5s3j7NmzWFtb06VLF15//XVTonrq1ClmzpzJlStXqFOnDi1btmTz5s1EREQAkJqaypw5czh8+DAALVu25K233sLBwQGA4OBgQkJCOHr0KH/88QcTJ07ko48+YsWKFdSvX99Ur2HDhtGiRQuGDh1aYN2zs7OZPHkyv//+O9nZ2Xh7ezNmzBhatmyJTqeja9euvP/++/j7+5vWCQsLQ6FQ8O9//xudTsf8+fPZsWMHSqWSV199lfDwcIYMGUJwcHCh+z0zM5OlS5cSGRlJSkoKHh4efPDBBzRt2pThw4fzzDPPEBsby+HDh3FycmLcuHH4+/sXuu8L8iDnTFxcHLNnz+a3335Dq9XSvn17Ro8ejVabnzT4+Pjw3nvvERERQXR0NE899RRhYWHUrFmTr7/+mu3btwOwa9cuAPbt2weA0Whk0aJFbNy4EYBevXoxYsSIQvfV/SxatIhdu3aRnJyMs7Mzr7zyCq+++qppflHnWUGsra3517/+BYBGoylxXKKYFmwtdgIMmNpIFMDYnq+xoll7jMr8C28ZNtb5M41Ghu79lQZXkwAFF21qUFUZzUq/FgBcdHPnw05dmb/xexKtHMlW25ht4+aZm/+M6MGQZcgfzNKTcSX/hRzpl9IBOLvwLK4t3PDq4FWyegshxN/yKkbjr5li3xi3evVqIP/LPCoqismTJwMwbdo0oqOjWblyJTt37qRhw4a8+eab6HT/9Hvbtm0bgwYNIjIyksDAQKZMmUJ4eDjLli1j8+bNXL58mTVr1hQZw/79+wkLC2P48OHs3r2b9evX07p1ayA/WenVqxdbtmxh586d1K9fn3feeQedTkfjxo15//33qVq1KlFRUURFReHj40NycjIjRoygXbt2bN++nZUrV3L48GFWrlwJQFpaGm+88QaBgYHs3buXd955hw0bNpjFNHnyZNLS0vj+++/5/vvvSU1NZcqUKWbLbNy4kXHjxvHzzz/j7+9PQEAAmzZtMs2/fPkyv//+OyEhIYXW32Aw0K5dOzZs2MCePXvo1KkT7733HikpKajVaoKCgsySpszMTPbs2WMqd+XKlRw4cICVK1eyadMmEhMTiYsr3qXZjz76iFOnTvHFF1/w008/MWfOHFxdXU3zt2zZQr9+/di3bx+9e/cmLCyM7OzsAvd9UUpyzuh0Ot544w1cXFzYsmULK1eu5LfffmP+/PlmZUZERDBr1ix2796Nh4cHs2bNAmDgwIF06dKFbt26mWJUqVQAHD9+HA8PD7Zv386cOXP46quvHqhLUK1atVi+fDk///wzkyZNYtGiRRw8eBAo3nn2OEtLS6vwwzkxSTyorXV9TAnw3Wxz8v4ZUShIszZPdG9p88eVf99Y9zDybuVv63HYnzIswzJcdsNlJU+hMPtUBA/1dIjU1FR27NjBhAkTcHFxwcrKimHDhpGUlMSpU6dMy3Xs2JGGDRuiUqno0qULSUlJ9O/fHwcHBxwcHPD19eXMmTNFbm/t2rW89NJLtGnTBrVajZ2dHU2aNAHA09MTPz8/tFotWq2WkSNHEh8fz5UrVwosb+vWrdSpU4eXXnoJKysr3N3dGTRoEFu3bgUgKioKGxsb+vfvj1qtpn79+maJ6vXr1zl48CDjxo2jcuXKVK5cmXHjxrF//36Skv750uzRowf169dHoVCg1WoJDQ1lx44d5OTkALBp0yZatWqFu7t7ofW3tbUlKCiISpUqoVarGTBgAGq1mtOnTwMQEhLC/v37SU5OBuDHH3/Ezc2Npk2bmuo7YMAAvL290Wq1jBkzBmUBX853Sk5O5scffzQlswqFgmrVqpla+wECAwN57rnnUCqVhIaGkp6eXui+L0pJzpnTp09z9epV3nrrLWxsbHB3d2fkyJFs3rwZ4x3Jw4ABA/D09ESj0RAcHFysc65GjRr06tULtVpNo0aNqFevXrHWu1tQUBBubm4oFAqaNWtG69atOXLkCFD0efa4s7e3r/DD1lP6QGXzBLU49IBTeu490xUGAxiN/PDis9zS5rfg18iMpdm1aNqc/QsAr5upvLt3FzoUaAy5qAzmN9QptUrUdve/mKdQ539BWVW2AsCtlTveQd6F1lGGZViGK8awKL6H6pwaExMDQJ8+fcym63Q64uPjTeMuLi6m4duXp+9sRdRqtWRmZha5vbi4ONq1a3ffebe7JRw7doz09HQUf/9KSUlJKbC82NhYfvvtN7PuA0ajEYMh/7JiYmIinp6eprIAqlSpYhpOSEgAwMvrn0uM3t75XzTx8fGmOt65DkCTJk1wc3Njz549BAYGsnXrVj744IMi65+dnc38+fM5cOAAqampKBQKMjMzSU1NBfJbG+vXr8+2bdvo168fERERZt0crl+/bhaLVqvFyanoV7jGxsYC+QlhQe48xjY2+clCcY5pccor6pxJSEjAycnJtF3IPw45OTmkpKTg7Oxc6PqFuXOd2+tlZGSUuD5r1qwhPDycxMREjEYjOTk5dO7cGSj6PBOPAXsbSP0Wzl7L7x/8ezTczITwg3DqMugNcD0DDP+skgnkKSvR/+dj/Lt3R3LVKl48d5UGF+JQp8Zjo1YQb2vFYVcV11zcuWlfi7rJDQj66zz9DdeolZRCetum/FlZhdbNlgaejqgcrbGp4YCNgxaX510xGo3cOn8Lazdr1Fo1WYlZaBw0qCup0WfpsbK3IvdmLtZO1pbac0KICiKv6EXKnRIlwYq7mr9vf1GHh4cXK5l6WFWqVCmwdXHhwoUkJSXx9ddf4+rqSkZGBn5+fqaWwLtjh/zW4+bNm99z2fw2d3d34uPjMRqNpvXvTO49PPJffRoXF2dqFb39w8DT09O03P1aW0NDQ9m0aRO2trYolUp8fX2LrP+qVas4ceIEX3zxBV5eXigUCgICAsxaO4ODg/n+++/x8/Pj5MmTzJgxwzTPzc3NrPtDdnZ2oT8Sbrud5F+5coWnnnqqyOXvdr99X5o8PDxISUkhOzvblDDHxMRgbW1d7POyLGP89ddf+fzzz/niiy9Mrdvvvvuu6bgVdZ6Jx4RCAc/8ffWjwd8/CF/vUuDilYBcRR/O1bIj1yr/X+3Rp6uiyNWxf1/rUgpJgUM9B9O4fc1/WoNUmvwuPZIACyFKQ2YF6QJxpxJ1h3BxcTFLQp2dnencuTMzZ84kMTERyO+XEhkZ+VCtgAXp3bs369evZ//+/eh0OtLT0039MzMyMtBqtdjb25OZmcnnn39utq6rqyspKSmkp6ebpnXt2pUzZ86wadMmcnJyMBgMXLt2jQMHDgDQpk0bMjMzWbVqFTqdjnPnzpn1uXVzc6Nly5bMnTuXtLQ0bt26xbx582jVqtU9LYh3CwoK4vTp0yxdupTg4GBTH9TCZGRkoNFocHBwIC8vj2XLlpnVB6BTp05cvXqV2bNn06JFC7MuFkFBQfz3v/8lJiaGnJwcFi1aZGr1LoyzszMBAQHMnDmT2NhYjEYjV69e5erVq0WuC/ff96WpQYMGVKtWjblz55Kdnc3169dZvHgxwcHBxU5uXV1diYmJKdb+KKmMjAyUSiVOTk4oFAr+97//mc4xKPo8K0pubi45OTkYjUb0ej05OTlmffKFJeXyvzq1TWN5ahXOGdkWjEcIIcRtJUqCR40axZIlS2jXrh3Tp08HYNKkSdSoUYMRI0bQtm1b+vTpw+7du8ukZc3X15fJkyezaNEiAgICeOmll0w3F40YMYKUlBQCAgLo27cvjRs3NkssfXx8aN68Od27d8ff359jx47h6urKl19+yb59+wgJCaFdu3a88847ptZce3t75s2bx/bt22nXrh2zZs2iW7duWFlZmcr96KOPqFSpEi+99BK9evXCzs6ODz/8sMi6VK5cmYCAAP7880+6d+9erPr/61//ws7Oji5dutCjRw+0Wu09l83t7Oxo164dBw4cuKdf6WuvvUaLFi0YOHAgISEhuLi44ObmZlafgkyZMoV69eoxfPhw2rZty/jx47lx40ax4r7fvi9NarWauXPnkpiYSNeuXRk4cKDpBs3i6t69O1lZWQQEBODv74/+jlfdPqwXX3zRFFeHDh3Ys2ePWbee4pxnhXnppZdo3bo1J06cYNmyZbRu3Zpp06aVWvziwVlFLyBNYYvy7x9XTmmZZFkV/YNXCCEeN1kK809FoDAaS+G24yfIwoULOXPmDIsWLXrospYsWcLvv/9eKmU9iMzMTNq1a8fSpUt57jl5hujjpDTPM2FZsxtuo1KujmQ7G55KSGF3w+p8tbOlpcMSQogSUbyZbDZunOdsoUhKz0M9HeJJcOjQIZKSkjAYDBw/fpzw8HA6der00OXeuHGDjRs30rdv31KIsnhu3rzJgQMHTF1JZs+ejZeXFw0aNHhkMYj7K6vzTFieY2YOrmlZ1I1LRm0w4pB579MihBBCPHqP1avLTpw4wdixY+8777XXXmPw4MGPOCK4cOEC//73v0lPT8fNzY3+/fvTrVu3hypzzpw5bNiwgaCgoHtuiLv9Qom7NW3alAULFjzUdo1GI4sXL2bChAmo1WqeeeYZ5syZg1qtZsaMGaYXRtzt+++/N7vR72F99dVXpmcx323BggWmR7o9zkq7DgWdZ/Hx8bz88sv3XadLly7FeqqIsKxbWisqZ+WiAHLUKuLsS/6oNSGEsLgK0gXiTtIdQgghytC4tlE8ezWJlEpaKmdmsbjD8/y2tKalwxJCiBJRvGX+NCnjnLJ/KlhZe6xagoUQoqL5+Wkv4p3sqZZ0i1VtG1Ll9AWgpqXDEkKIJ570CRZCiDJ07KvapKuMHKvpjsuZv9jx0/1f+COEEOLRkpZgIYQoY8NfuwZg9gZHIYQoV570l2UIIYQQQghREUhLsBBClKELilCa2DmQbm3Nxhsr6WHcYOmQhBCi5CpeQ7AkwUIIUVYuKUKpqlCiTb8J6eBsbUvm9TRs3ewtHZoQQpRQxcuCpTuEEEKUEUdAYzSgIP/rwzU3i2GvbrVsUEIIIQBpCRZCiDJjCxz1fppeA8aRaOdA2I8/cKVWXUuHJYQQJVfxGoKlJVgIIcqKEnjtldeJr+xErpWG5c3bWzokIYQQf5MkWAghyogRUKBAp8q/6PaXqyd1EmMsG5QQQjwIxV2fCkCSYCGEKCNGoO71ONO4TW4OPrFXLBeQEEI8sIqXBUufYCGEKCN6YFH4MlRGAwl2Dry/NxxyciwdlhBCCKQlWJSi4OBgtm3bZukwSmTGjBl88sknlg5DVFAaILGSA4N+iWT2lv+i1uv4vWotS4clhBAlV/EagqUlWDwYHx8fli9fTpMmTSwdykP54IMPzMaDg4MZOXIkQUFBForo4ZT3+C3GaIQr18HRFkYtg9NXwNUePJ2gsi0k3wKfOnDqMnz9U7GLNQA76z3HW1HbyFWpmNS5D6edPTkeuo1oFw80eXqMajjv6I5zZgZZWmtUegPR7lXB2vqe8rxtYE47ePlZ+dcthHjUKkjmewf5T/oI6HQ61GrZ1UI8lgwGeGkWbDxS+HJrD5a4aDXw7k8RKAArg57xP23hmxfasq5RS05WrYlBqcQuO4upu9bxfpe+5Fpp8lc0Gu9b3rUs6L0N3PbqSPw/+Z8ihBAPQ7pDPKDg4GCWLVvGkCFDaNOmDf379+f06dMAhIWFMWnSJMLCwmjfvj2zZ88GYN++ffTr1w9/f3969erF9u3bgfwkuVOnTuzbt89sG2FhYUydOrXQOGJjY/Hx8WHLli28/PLL+Pr6MnbsWG7dusXnn39Ox44d6dSpE+vWrTNbb8+ePfTt2xc/Pz/69u1LZGSkaV5ERAQ9evRgzZo1BAUF0a5dO6ZPn45erwegb9++AIwePZo2bdrw0UcfmdaNj49n5MiRtGnTht69e/Pbb78Va39OnTqVrl270rZtW15++WV27NhhmjdgwAC+++47s+WXLFnCiBEjADAajXz11VcEBQXRvn17PvvsM0aOHMmSJUuK3G5YWJgp/nHjxhEfH8+0adNo06YNo0ePBvKPz1dffUVoaCj+/v4MHjyYP/74w6yMyZMnM3XqVPz9/enSpQs7duzg3LlzDBgwgLZt2zJixAiuX79erH1x7Ngxhg4dSvv27QkICCAsLAyAo0eP0qJFC3bt2kX37t3x8/NjwoQJZGRkFBq/KMLhP4tOgB+QEvO2E51SyeTOffi/AzswKPP//aZrbdj6zPN0Ov/7PwsqCm9xuZ4NV28ZSj9gIYQoSAXsDiFJ8ENYv349b7/9Nnv37iUgIIA33niD9PR0AHbv3k2rVq348ccfGTduHIcOHeKjjz5i/Pjx7N27l7CwMGbNmsXx48dRq9UEBQURERFhKjszM5M9e/YQEhJSrFj27NnD8uXL2bJlC3FxcQwaNAhvb2+2b9/OlClT+Oyzz4iPjwfgt99+Y/Lkyfzf//0fe/bsYfTo0UycOJFTp06ZyouLi+PGjRts3LiRb775hj179rBr1y4AVq9eDcCiRYuIiopi8uTJpvU2b97M22+/zb59+2jRooUpgSvKc889x6pVq4iMjGTo0KGEhYXx119/Afk/OLZs2WJa1mg0snXrVtO+2bp1K2vWrGHOnDns2rULV1dXjh8/Xqzt3mnu3Ll4enoyadIkoqKiWLRoEZCfcP/0008sWLDAdEzGjBnDrVu3TOvePgf27t3LkCFDmD59Ol9++SWzZ89m165dKBSKYiXlf/75J2PGjKF79+7s2LGDrVu30q1bN9N8vV7PoUOHWL16NRs2bODcuXOsWbOm0PjLWlpaWrkeTrdWgrJs/hXe3Z47pVNvDEol1yo7m013y7hFol3lEpXsYJ3/LfQ47EMZlmEZfnyGy4wkweJO3bt355lnnsHKyoqBAwdibW3N//73PwCaNGlCYGAgKpUKrVbLmjVr6NOnD02bNkWpVNKwYUO6dOnC1q35r1ANCQlh//79JCcnA/Djjz/i5uZG06ZNixXL0KFDcXBwwNHREV9fX9RqNT179kStVtO6dWsqV67M2bNnAdiyZQvt27endevWqNVqfH198ff3Z9OmTabytFotr7/+OhqNhmrVqtGsWTOz1s+ChIaGUrt2bVQqFT169ODq1aumHwaF6dGjB46OjqhUKjp16kSdOnU4duwYAJ06dSI6OtoU/9GjR7l58yYBAQEAbNu2jdDQUOrXr49arWbAgAG4ubkVa78VxWg0snbtWt544w28vb1N9XJ1dTUda8jvI+3r64tSqaRbt25kZWXRtWtXPDw80Gq1BAQEFGv/rV+/njZt2hAcHIxGo0Gr1eLj42O2zJgxY7C1tcXFxQV/f3/OnDlTKnV9UPb29uV62O75OrBiFLxQG6xU91bwIRmBLLUVkwN78+3zbXn5xH7+28yfKjeT8U5Jwv/CaeyzMzlc7WnUeh2VcrJQ6fIK7BIB8ObzCir/nQQ/DvtQhmVYhh+fYVF80qnsIVSpUsU0rFAo8PT0JCEh4Z55kN9t4ejRo6xatco0zWAwmG4sq1WrFvXr12fbtm3069ePiIgIgoODix2Lq6uraVir1ZqN356WmZkJQEJCAvXr1zeb7+3tbUoyAZycnFCp/kkIbGxsTOsXNw4bGxsAMjIysLOzK3Adg8HA0qVL2bVrFzdu3EChUJCVlUVKSgoAlStXxs/Pj4iICOrXr8/mzZsJDAxEq9UCkJiYiKenp6k8hUKBh4dHkbEWR2pqKpmZmYwbNw7FHZeodTodiYmJ96337bjunlac/RcbG0u9evUKnK9SqXBycipxuaIIg9rnf0pZniIUvVKFjS6PD3etY+LecFY/68O6VX53LOUJPMcy07i21OMQQoiHV0Gaf+8gSfBDiIv75yH4RqOR+Ph4PDw8uHTpEsq7Lq96enrSrVs3BgwYUGB5wcHBfP/99/j5+XHy5ElmzJhRJnF7eHiYxQ4QExNTosRRUUSfxZLYuXMnGzduZOHChTz11FMolUr69++P8Y6WsJCQECZNmsSwYcOIjIxk8eLFpnnu7u6mrh6Qfyxu/xgpqbuPm6OjIzY2NnzxxRc0aNDggcosCS8vL65evfrA698dv7A8o1IJBj0KQKvL4y93L0uHJIQQJVfxcmDpDvEwNm/ezNmzZ9HpdHzzzTdkZ2fj6+t732VfffVVvvvuO06cOIFerycvL48zZ86YXSLv1KkTV69eZfbs2bRo0QJ3d/cyibtr167s3buXgwcPotfr2b9/P5GRkcXufwzg4uLClSul8+arjIwMUwunwWBg06ZNnD9/3myZFi1aoNVqmTJlCl5eXjRq1Mg0LygoiPDwcM6dO4dOp2PVqlXFvgntbi4uLmZJqEKhoE+fPsyfP99U38zMTA4ePPjA2yhMaGgoP//8M1u3biU3N5fs7GyOHj36wPELy1IAEzv3YVedxuQpVWyv14Sfaj1j6bCEEEIgSfBD6dmzJ7Nnz6Zdu3b8+OOPzJ8/v8DL/i1btmTSpEnMnz+fDh060LlzZ+bMmWN2KdvOzo527dpx4MCBEiWkJdWkSRPCwsKYN28e7du3Z8GCBXz44YdmiWVRRo0axZIlS0xPjngY3bp1o2HDhvTs2ZOgoCAuXbp0T19opVJJUFAQBw4cuKebSNeuXXn55Zd54403CAwMJCEhgUaNGqHRaEocy+DBg9m2bRvt2rVj7NixAIwYMYK2bdsyfvx4/Pz86NmzJ+vXr8dgKP278+vWrcv8+fNZv349gYGBdOvWrUQvILlf/MJyjEC8vQNLWnag2+D3CBr6Ac2v/GnpsIQQouQUCvNPBaAwGgu5+0IUSF5K8PgyGAx07dqVN954g86dO1s6HPEE0ylCOVrtaVpevQDALL9gvm7SmtPz6lo4MiGEKBnFxAyzceP0ShaKpPRIS7CoEHbu3ElOTg7Z2dksWbKE7OxsWrVqZemwhDAlwAAjD/7IefeqFoxGCCHEbXJjXDnQu3fve25kg/wnUNz9EozHVVnXYd26daYbCWvXrs38+fOpXLkyX331FStXrrzvOgsWLCj2I+hKS3x8PC+//PJ953Xp0uWe1ziL8u3uy2yVcrNxyEgDyn8LihDiCVMxekCYke4QQghRRtIUodjxz3eHEVhWyYnh6SssGJUQQpScYpL54ziN02wtFEnpke4QQghRRuwN6zGC6ZMDkgALIcRjQpJgIYQoKwoFSuMGLgOXAK1xg6UjEkKIB1MBX5ssfYKFEKKMndz8GgBPWTgOIYR4YBUk8b2TtAQLIYQQQognjrQECyFEGVJMzQR9AKiArdEYv6xp6ZCEEOIBVLymYEmChRCijCimpEPe3yN5oHRzs2g8QgjxwCpeDizdIYQQoswYzL81DHp5IqUQQjwuJAkWQogyYm1qBv6bWv7lCiHE40L+IwshRBnJsdaiUhnxSk/l6dTroKmA1xOFEE8GeUSaEEKIYjMa2f7dF7S/dB6AT9oEwqRXLByUEEIIkJZgIYQoMy4Z6aYEGCD09Ak+c55lwYiEEOIBKRTmnwpAkuC/jR07lq+//trSYQgLGD58OMuXLy/VMiMiIujRo0eplinKn1SVmvMu7qbx41WrU8nFwYIRCSGEuE2S4L8tWLCAgQMHAuDj48Ovv/5q2YDKobCwMD766CNLh1Go4OBgtm3bZukwStX//d//0alTJ/z8/OjatStz5swhNzfX0mEJQG9tTYeRb/GpXyCTO3dn6MsDcM4xWDosIYQQSJ9gIcq9MWPGUKtWLTQaDTdu3OD9999n2bJljB492tKhlWspWUa+OaknOhWC6yhRKuD0lVxSz93kvym2XNRbYTQa0RvAKTWDGrdu0PfULxyuUZvwhs9hpdej1EOsgxMTur2UX6jRiIshHq+JcQw4EokGsM3NIU2t4f8O/YhH5i2yUZOt1GJnSEdzd1BKQKMGlRLcHMH/WWhVH2q6Q/R16NAYank8yt0khHhSVIweEGYkCf7b8OHDad68OXv27AFg9OjRKJVKAgMDmTx5MtnZ2Xz55Zfs3buX9PR0GjRowLvvvku1atVM69evX5/Y2FiOHDmCk5MTEydOxGg08tlnn5GQkECzZs2YOnUqlSpVKjSW8+fP8+mnn3Lx4kUMBgONGjXi3Xffxdvbm4sXL/Kvf/2L7du34+TkBIDRaKRHjx4MGzaMbt26kZSUxPTp0zl+/DguLi4MGDCAadOmsXnzZry8vArddmxsLPPnz+fXX38lJyeHp556ijlz5uDo6IiPjw/vvfceERERREdH89RTTxEWFkbNmjX5+uuv2b59OwC7du0CYN++fahUqgK35ePjwzvvvMOWLVu4dOkSdevW5eOPP2b37t189913ZGdnExoaapbMHTt2jAULFhAdHY2rqyuvvvoqL72Un2AcPXqU0aNH89FHH7Fo0SJSU1N58cUXmTx5MpUqVWLcuHHEx8czbdo0Pv74Yxo3bsyiRYsASEtL45133uHw4cM4OTkxbtw4/P39C91XJbFz507+85//EBsbi1arpW3btrz11lvY2NgAPNQxq1evntm4QqEgOjq61GJ/EmXrjLT6OpezSfnj847o8weUCtC4gMIIVgowGrFOzcY9K539K6diq8vGcFBBw3Gz+dOtKgYlYDSa9Z/708ud03PewfnDlabpsyK+oUrmLQBs0WFrSL9/YAYgW5c/nJEI/0mE/+z7Z76THZz4FGq4329tIYR4CBUvC5buEHdZvXo1AIsWLSIqKorJkycDMG3aNKKjo1m5ciU7d+6kYcOGvPnmm+h0OtO627ZtY9CgQURGRhIYGMiUKVMIDw9n2bJlbN68mcuXL7NmzZoiY1AoFAwfPpzt27cTERGBjY2NKY7atWtTt25dU8IJ+YlhamoqHTp0AGDy5Mmo1Wq2bt3K8uXLi335Pzs7m5EjR+Ls7Mz69evZvXs348aNw8rKyrRMREQEs2bNYvfu3Xh4eDBrVv5NPgMHDqRLly5069aNqKgooqKiCk2Ab9u+fTuffvopu3fvRqPRMHLkSNLS0ti4cSOLFy/m22+/NXVNiYmJYezYsfTq1Ys9e/YQFhbGokWL2L17t6k8vV7PoUOHWL16NRs2bODcuXOmfT537lw8PT2ZNGkSUVFRpgQYYMuWLfTr1499+/bRu3dvwsLCyM7OLtZ+Kw47OzumTZtGZGQky5cv59dff2XFihWm+Q96zG6bOXMmvr6+dOrUiT///JN+/fqVWuxPogvJRlMCfCel8u8vgTuS2hyNFSFnf8NWl3++KDGSZmOLd/Ktf54LbDSa1lvYtguO2ZlmZWx51qd0Ak9Jh5//KJ2yhBCigpMkuBhSU1PZsWMHEyZMwMXFBSsrK4YNG0ZSUhKnTp0yLdexY0caNmyISqWiS5cuJCUl0b9/fxwcHHBwcMDX15czZ84Uub06derg4+ODRqPBzs6OYcOGcfLkSVNSFhISQkREhGn5zZs307FjR7RaLQkJCfzyyy+88cYb2NnZ4ezszNChQ4tVz6ioKLKzsxk/fjx2dnao1WoaNWpk1nI9YMAAPD090Wg0BAcHF6s+henXrx8eHh5otVoCAgK4ceMGw4cPx8rKirp161KnTh3TNnbu3Em9evUIDg42xRYaGsrGjRvNyhwzZgy2tra4uLjg7+9frBgDAwN57rnnUCqVhIaGkp6ezpUrVx6qbndq3bo1tWvXRqlUUq1aNXr16sWRI0cAHuqY3TZhwgSioqJYs2YNL730Eh4ej+6SeFpaWoUbruGgwN323re7GQ13TTMasdLp2VezLnmKf3702WVnkuBYCaVOjzLPAHpAZwSjkZo3rpOtUv+TGAMtLp+nNBg1anj+qQLrJcMyLMMVf7jMyHOCn0wxMTEA9OnTx2y6TqcjPj7eNO7i4mIa1mq1ALi6uppNy8zMLHJ7165dY/78+Zw6dcps+ZSUFKpUqUKnTp2YO3cuZ8+epVq1auzdu5cvvvgCgOvXrwPg6elpWq9KlSrFqmdsbCxVq1ZFrS74tHiQ+hTm7vKcnJxQKpVm0zIyMoD8ZLFq1apm63t7e/PTTz+ZxlUqlambSElivPPY3e6i8LB1u9OhQ4dYvnw50dHR5OXlodfrcXZ2Bh7umN1JoVDw9NNPc+nSJd5//31WrlxZOsEXwd7evsIN21srODDImlkHdETfNNKzvhK1Ak5eyOHaxVT2Guy4qVJjVCjI06r409mDXi+PZ8BvBzjmXYuz7t5Y5elwT04m3t3NVP5zl2P5fO0Snhn/GV1PHqFq+k0csjOonRjLTY2WyrnZ5KEgU1WJyvr0wr9rNEp4tjq0bwTeLpBwE0VIM2hQ/bHYhzIswzJsmWFRfJIE34firuff3U5IwsPDzRKssjJjxgzc3NxYvXo1jo6OXLhwgT59+mD8u+XI3t4ePz8/IiIiqFOnDp6enjRu3BgAN7f8L9z4+Hi8vb1Nw8Xh5eVFbGwser2+WF0Z7nb3fittHh4e7N+/32xaTExMiVo970ywH5W8vDzefvttxo4dS0hICFqtlrVr1/Ltt98CD3fM7kev15dqK/aTqrazgiXdrMwnPq8G7tenXwu0BFryEjADAA3Vxt0wW6r92b+Is6pC9CfVgGr33a7m748QQoiyJd0h7sPFxcUsiXB2dqZz587MnDmTxMREIP/SQ2RkZKm2Ft6WkZGBjY0N9vb2pKamsmTJknuWCQkJYceOHYSHhxMcHGya7uHhwQsvvMDChQvJyMggJSXFrO9pYXx9fbGysmLOnDmkp6ej0+k4efKkqSW2KK6ursTExGAwlM0joDp16sTZs2fZsmULOp2OU6dOsWHDBrp3717sMlxcXLh69WqZxFeQvLw88vLyqFy5Mlqtlr/++ot169aZ5j/MMYuOjmbfvn1kZmZiMBg4e/Ysy5Yto1WrVmVVHVECaRpr2l68ikt6Bu3OXaTF1QSS7FyKXlEIIR43FbA7hCTB9zFq1CiWLFlCu3btmD59OgCTJk2iRo0ajBgxgrZt29KnTx92795dJq2fb731FidOnMDPz4+hQ4fi6+t7zzLNmzdHq9Vy9uxZunbtajZv+vTpZGdnExQUxJAhQ0w3zGk0hbcv2djYsHjxYhISEujZsycdOnRg/vz5Zjf/FaZ79+5kZWUREBCAv78/er2+mDUunqpVqzJ//nzWrVtHQEAAU6ZM4fXXX6djx47FLmPw4MFs27aNdu3aMXbs2FKNryC2trZMmDCBBQsW0KZNGz755BM6d+5stsyDHjOj0cg333xDUFAQ/v7+TJgwgbZt2/LBBx+UWX1E8d20s0ehsWbUsT9pdy2F5f6tuJCcY+mwhBBCAAqj0Xjv3R+iQjl48CDjx49n//79Zd5lQZQOOWYVQ+X3U0hzscf7ZgZKI1yz06KfYG3psIQQosQU08x/wBsnlf//ZdInuAI6d+4cSqWSp59+mpiYGBYvXkzHjh0lmXqMyTGrmNI1+X2Krzn83Y9Y2hyEEOVVBfw+kiTYAk6cOFHgpfjXXnuNwYMHP1T5aWlpTJs2jaSkJOzs7GjVqhXjxo0DoHfv3sTFxd2zTpUqVcz6qZaGsWPHcuLEifvOi4qKKtVtlZWC6pCTk4O19f1/BT/IMXxcjpkoXUa90fxlGTp5ZbIQopyqeDmwdIcQQoiyovgwC2zveMJErh7jB+X/EqIQ4smjmJFrNm78oPw/x0ZujBNCiLKi04P+73YGoxHypCVYCCEeF5IECyFEGbn+phoycyFDBxk6VDduWjokIYR4MBXwEWnSJ1gIIcqIq7MW41RMrzm/85neQgghLEuSYCGEEEIIUYQK0vx7B0mChRBCCCFE4SpeDix9goUQQgghxJNHkmAhhBBCCPHEke4QQgghhBCicNIdQgghhBBCiPJPkmAhhBBCCPHEke4QQgghhBCicNIdQgghhBBCiPJPkmAhhBBCCPHEkSRYCCGEEEIUTqEw/9xH+/btOX/+/CMO7MFJEiyEEEIIIZ44cmOcEOKB6XQ64uPjLR3GYy85ORmAa9euWTgSIcSTwNPTE7W6lFO8B7wxbuPGjaxYsQKA6tWr8+GHH+Li4sIrr7zCxIkTady4MWFhYfzyyy9s3boVnU5H69atiYyMxNbWthQrcC9JgoUQDyw+Pp6AgABLh1FuzJgxw9IhCCGeAHv27MHb27tUyzS+XfKU8fz583z66ads2LABd3d35s2bx0cffcS8efNo2bIlhw4donHjxhw7dgxra2sSExOJiYmhdu3aZZ4AgyTBQoiH4OnpyZ49ex7Z9hITExk6dCjLly/H3d39kW33YZXHuMtjzCBxP0rlMWYon3GXNGZPT89HEFXRDh8+jJ+fnynmPn360L17dwBefPFFvvzyS4KDg3F0dKR58+YcPHiQa9eu0bJly0cSnyTBQogHplarS721oTBKpRKlUomnpydeXl6PbLsPqzzGXR5jBon7USqPMUP5jLs8xlyU559/nj/++IN9+/bx4osv0rx5c9avX8+1a9cYO3bsI4lBbowTQgghhBClrkWLFvz0009cv34dgHXr1tGqVSsANBoNzz77LMuWLaNVq1Y899xzHD9+nHPnzvHcc889kvikJVgIIYQQQpSK1157DZVKZRofP348gwcPBqBatWp8+OGHpnkvvvgiJ0+epFGjRqhUKqpXr463tzcajeaRxCpJsBBCCCGEeGh79+697/SePXved/qIESMYMWKEaXzZsmVlEldBpDuEEKLcsLe3Z9iwYdjb21s6lBIpj3GXx5hB4n6UymPMUD7jLo8xlwcKo9FotHQQQgghhBBCPErSEiyEEEIIIZ44kgQLIYQQQognjiTBQgghhBDiiSNPhxBClDuffPIJR44cQaPRYGNjw9tvv82zzz5r6bDu6/Lly4SFhXHz5k0cHByYOnUq1atXt3RYhUpNTWXKlClcu3YNKysrqlevzgcffICTk5OlQyuWpUuXsnTpUtasWcPTTz9t6XCKlJOTw5w5c0zndOPGjZk4caKlwypUVFQUixcvBsBoNDJs2DDat29v4ajuNW/ePPbu3UtsbKzZ+fA4/13eL+by/jf52DIKIUQ58/PPPxvz8vJMwyEhIRaOqGAjRowwbt261Wg0Go1bt241jhgxwsIRFS01NdX4yy+/mMbnzZtnnDp1qgUjKr4zZ84Yx4wZY+zWrZvxzz//tHQ4xTJr1izjp59+ajQYDEaj0WhMSkqycESFMxgMRn9/f9P+PX/+vLFNmzZGvV5v4cjudeLECWNcXNw958Pj/Hd5v5jL89/k40y6Qwghyp02bdqgVudfyGrUqBGJiYkYDAYLR3Wv5ORkzp49S6dOnQDo1KkTZ8+eJSUlxcKRFc7BwQEfHx/TeMOGDYmPj7dgRMWTm5vLJ598woQJEywdSrFlZmaydetWRo4ciUKhAMDFxcXCURVNqVSSnp4OQFpaGq6uriiVj19K0aRJEzw9Pc2mPe5/l/eLubz+TT7upDuEEKJcW7duHb6+vo/lF3BCQgLu7u6mtyepVCrc3NxISEgoN5cxDQYD69evp23btpYOpUhffvklXbp0wcvLy9KhFNu1a9dwcHBg2bJlHD16FBsbG0aNGkWTJk0sHVqBFAoFH3/8MePHj8fGxobMzEzmz59v6bCKrbz/XZanv8nHnSTBQojHzr/+9a8CWzl27dpl+vLauXMnO3bseORvGXqSzJ49GxsbG3r37m3pUAr1+++/c+bMGcaMGWPpUErEYDAQExNDvXr1eOONNzh16hTjxo0jPDwcOzs7S4d3Xzqdjv/85z989tlnNGnShF9//ZUJEybw/fffY2tra+nwKrzy8jdZHkgSLIR47KxatarIZSIjI/niiy9YvHjxY3v52MPDg8TERPR6PSqVCr1ez/Xr1/Hw8LB0aMUyb948rly5wty5cx/LlvY7HT9+nEuXLhESEgJAYmIiY8aM4d///jctW7a0cHQF8/T0RKVSmS7NN2zYEEdHR65cufLY3ux5/vx5rl+/bmqtbtKkCTY2Nly6dIkGDRpYNrhiKM9/l+Xpb7I8kD0ohCh3oqKimDt3LgsXLnysL307OztTt25ddu7cCeS3XNerV69cXHJdtGgRZ86c4bPPPkOj0Vg6nCINGjSIHTt2EBERQUREBO7u7nz++eePdQIM4OjoiI+PD4cPHwbyn1qQnJxMtWrVLBxZwdzd3UlMTCQ6OhqAS5cukZycjLe3t2UDK6by+ndZ3v4mywN5bbIQotzp0KEDVlZWZl9aX3zxBY6OjpYLqgDR0dH8+9//Ji0tDXt7e6ZOnUrNmjUtHVahLl68yCuvvEL16tXRarUAeHl58emnn1o4suILDg5m7ty55eIRadeuXePDDz/k5s2bqNVqRo0aRevWrS0dVqG2b9/Of/7zH1Nr5IgRI/D397dsUPcxe/ZsIiMjuXHjBo6Ojjg4OLBu3brH+u/yfjF//PHH5f5v8nEkSbAQQgghhHjiSHcIIYQQQgjxxJEkWAghhBBCPHEkCRZCCCGEEE8cSYKFEEIIIcQTR5JgIYQQQgjxxJEkWAghnkDXrl2jXr16Bb6Zr7SsXr2ad955xzQ+dOhQecOfhXTs2JENGzYUa9lHdX48Crm5uXTs2JGLFy9aOhTxmJEkWAghCnH16lXGjh1L69atadq0KX5+fowePZrc3FwANmzYQMeOHe9Zr6Dpmzdvpl69eixcuPCeef3796dhw4Y0bdqUF154gR49epge6F8eZWZmsmDBArNXGS9fvpxhw4ZZMKrC1atXj6NHj1o6jCdCWezrw4cP3/OmPY1Gw5AhQ5g9e3apbkuUf5IECyFEIYYNG4a7uzs7duzg+PHjrF27Fl9f3wcub+3atTg6OvLDDz+g1+vvmT9q1ChOnDjB4cOH6dq1K+PGjePSpUsPUwWL2bx5M3Xr1qV69eqWDkU84bp168ahQ4e4fPmypUMRjxFJgoUQogApKSlcunSJPn36YG9vj0KhwNPTk759+z7Qa0svXrzI0aNHmTlzJtevX+fnn38ucFm1Ws2rr76KXq/n/Pnz98xftWoV3bt3N5t29epVnnnmGa5duwbA+++/j5+fH02bNiUoKIiIiIgCt/f5558zaNAgs2n9+/fniy++MI2fP3+eIUOG0LJlS/z9/fnss8/Iy8srsMzdu3ff8+azO8u8fck9PDycoKAgmjRpwrBhw7h58yaffvopL774Iq1bt2bVqlWm9W+3sC9duhRfX19efPFFZs6caRZHUfU+e/asqR7Nmzc31TskJASAIUOG0LRpUyZOnHjfemVlZTFt2jT8/Pxo0aIFo0aNIjY21qyOM2fOZMyYMTRt2pQOHTqwe/fuAvfT7Tr95z//oW3btjRt2pRPPvmElJQUxowZw/PPP0/nzp3NWk11Oh0LFy4kICCAZs2aMXDgQLPzJC8vj48//ti0D5cuXXrPdo8ePUrfvn1p3rw5HTp04KuvvqIk78/auXMnISEhvPDCC4SEhPDjjz/eU6c7TZgwwbRPC9rX7du3Z+HChfTt25emTZsSGhrK77//ft8ybmvfvj2bNm0iISGBYcOGodfradq0KU2bNiU8PBwAOzs7GjVqxN69e4tdP1HxSRIshBAFcHJyok6dOkyaNImNGzdy4cKFEiUJd1u7di316tWjXbt2tG3blrVr1xa4bG5uLqtWrcLKyor69evfM79bt2789ddfnDlzxjQtPDyc5s2b4+3tDcDzzz/Pxo0bOXr0KKNHj+b999/nwoULDxT7jRs36N+/Px07duTnn39m7dq17N+/nyVLlhS4zh9//EHt2rWLLHvnzp189913REZGEhMTQ+/evalevTpRUVHMmDGDGTNmmCWZsbGxxMXFsXv3btauXUtkZCQrVqwwzS+s3omJifTv35/mzZuzd+9e/ve//zF8+HAgv+UaYMWKFZw4cYLp06ffN96PP/6Y3377jXXr1hEZGYmTkxOvv/66Wct+eHg4r732GseOHaNfv35MmDCBrKysAvdBbGwst27dYvfu3axevZr//ve/DBs2jCFDhvDLL78QGBjIBx98YFp+xYoVbNq0iaVLl7J//358fHwYPHgw6enpACxdupR9+/axZs0a9uzZQ0xMjNk+vHDhgqn8gwcPsmTJEr799ls2bdpU5PECOH78OG+//Tbjx4/n8OHDvPXWW7z11lv89ttvxVq/sH29Zs0aJk6cyOHDh+ncuTPDhw831aswHh4eLFu2DJVKxYkTJzhx4gQ9e/Y0za9bty6nT58uVnziySBJsBBCFOKbb76hefPmfP311/To0YNWrVqxaNEis2T42rVr+Pj4mH2mTp1qVk5OTg6bNm0iNDQUgF69evHzzz/fc+PRl19+iY+PD35+fuzdu5cFCxZQo0aNe+JycHAgICCA9evXA2A0Gtm4cSMvvfSSaZmXX34ZJycnVCoVXbt2pW7duhw+fPiB9sPGjRupV68effr0QaPR4OHhwYgRIwpNmm7duoWdnV2RZY8aNQpHR0ecnJzw9/dHrVbTu3dv1Go1fn5+VK5cmT/++MO0vEKh4N1330Wr1VK9enWGDh1qavErqt6bNm2ievXqjBgxAltbWzQaDa1atSr2fjAYDISHh/Pmm2/i4eGBra0tH3zwAX/99ZdZi2VQUBDPP/88SqWS3r17k5aWVuileGtra/7v//4PjUZD/fr1qV+/Po0aNaJJkyaoVCpCQkK4fPkyaWlpQH5L67Bhw6hduzYajYbRo0ejVCrZt2+fqZ5Dhw6lRo0aaLVa3nvvPRQKhWl73333HZ07d6ZDhw6oVCpq165Nv3792LhxY7H2Q3h4OIGBgfj5+aFWq/H396djx46m8/Fh9OrVi4YNG6LRaBg2bBharZbIyMiHLtfOzo6bN28+dDmi4lBbOgAhhHicOTs7m1q5srKy2L59O5MnT8bDw4NevXoB4O3tbXYpGPKTlMWLF5vGt2/fTkZGhukysJ+fH87Oznz//fdmN469/vrrjBo1qlixhYaG8u677/Lee+9x9OhRbt26RWBgIJCfrH3++eds27aNpKQkFAoFWVlZpKSkPNB+uHbtGsePH8fHx8c0zWg0YjAYClyncuXKxWrBc3d3Nw3b2Njg5uZmNt/GxoaMjAzTuIuLCzY2NqbxqlWrmn5MFFXvmJgYatasWWRMBUlOTiY3N9fU2g5QqVIlnJ2diYuLo2nTpgBmdbC1tQUodF+4uLigVP7TLnX3ftBqtQBkZGRgb29PXFycWQxKpZKqVasSFxcHQHx8vNl8W1tbnJ2dTePXrl3j0KFDZuetwWCgSpUqxdoPcXFxNGjQwGxatWrVzH6sPKiqVauahhUKBVWqVCmVp1Skp6fj4ODw0OWIikOSYCGEKCYbGxtCQ0P59ttvOXv2bInWXbduHQaDgeDgYNO0W7du8cMPPzBq1ChUKlWJ42ndujUajYbIyEh+/PFHgoKCTMnSli1b+P777/nqq694+umnUSqVhIaGFtido1KlSvdcrk9MTDQNe3l50apVq/v2LS3IM888w8WLFwkICChx3Qpz48YNsrKyTIlwTEwMnp6eQNH1rlq1aqFP3LiztfR+nJ2d0Wg0xMTEmFroMzIySE5OLnYCWRqqVKlCTEyMadxgMBATE2OKwcPDw9Q3HPKf1JGcnGwa9/Ly4qWXXuLf//53qWwf8hPr29sv6Hy6cx8VtK/vLNdoNBIXF2c6vpUqVTL7IafT6bhx44Zp/M4fEnc7f/487dq1K6pq4gki3SGEEKIAN2/e5LPPPuP8+fPk5eWh0+nYuXMn58+f54UXXih2ORcuXODYsWMsXLiQjRs3mj7ff/89SUlJ/PTTTw8Un0qlokePHvz3v//lxx9/NLVMQ36rl1qtxtnZGYPBwA8//MC5c+cKLKtBgwacPn2aU6dOodPp+Pbbb82SqB49enDq1Cl++OEHcnJyMBgMXL16tdCb+zp06MCBAwceqG6FMRqNfPrpp2RnZ3P16lVWrFhBjx49gKLrHRISwqVLl1i6dClZWVnk5uaaxejq6lpotwWlUkmPHj2YP38+CQkJZGVl8cknn1CrVi0aN25c6nUtSM+ePVm+fDmXLl0iNzeXxYsXo9fr8ff3B6B79+6sWLGCK1eukJ2dzezZs81+AL366qts27aNvXv3ms7tCxcucOTIkWJtv0ePHuzatYuoqCj0ej0//fQTu3btMnX3eeaZZ7hx4waRkZEYDAZ+/PFHfvnlF7MyCtrX69ev5/Tp0+Tl5bF8+XKysrJM9WrQoAEHDx7k6tWr5ObmMnfuXHQ6nVmZer2eq1evmpWZnp7OyZMnad++fbHqJ54MkgQLIUQBrKysuHHjBmPGjKF58+a8+OKLLF68mEmTJtGlS5dil7NmzRoaNGhA+/btcXNzM33q169P586dC71BriihoaEcOXIEb29vsySsZ8+eNG7cmI4dO9K2bVsuXrxYaOLeokULXnvtNYYOHYqvry9JSUk8//zzpvlubm5888037N69m/bt29OsWTNGjx59T7Jxp+7du3P27NlCl3kQXl5eeHh4EBAQwMsvv0ybNm0YOnQoUHS9PTw8+O9//8uBAwfw8/PD19fX7Ka6cePGsWDBApo1a8aUKVPuu/3333+fhg0b0qtXL/z9/UlMTGTx4sUP1Jr/oIYMGULXrl0ZMmQIrVu35tChQ6xYscLUB3v48OH4+vrSu3dvAgICqFKlCl5eXqb169aty5dffsnXX3+Nr68vrVq1YsKECWatxYV54YUXmDlzJrNmzaJZs2Z8+umnzJ49myZNmgBQvXp1Jk6cyOTJk2nevDlRUVGmrjq3FbSvX3nlFaZNm0bz5s3Zvn07S5cuxd7eHoDg4GDat29PaGgoHTp0MJ0Lt9WqVYu+ffvy8ssv4+PjY+rjvHXrVlq0aPFQXWFExaMwPsytzkIIIUQhVq9ezfHjx0vtRQW3+1rf3QdbVAzt27fnjTfeuOfxfw8jNzeXbt26sXjx4mI9rUQ8OaRPsBBCiDLTt29f+vbta+kwxBNMo9Gwa9cuS4chHkPSHUIIIYQQQjxxpDuEEEIIIYR44khLsBBCCCGEeOJIEiyEEEIIIZ44kgQLIYQQQognjiTBQgghhBDiiSNJsBBCCCGEeOL8P3cm+sNDmr7uAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"markdown","source":"> **The first 3 features indicates that higher items sold in the previous month means more items would be sold in the coming months.**","metadata":{}},{"cell_type":"markdown","source":"> **The plot indicates that lower the item id better would be the average sales. We can confirm this conclusion from pdp plots.**","metadata":{}},{"cell_type":"code","source":"from pdpbox import info_plots\nfig=info_plots.target_plot(df=matrix,feature='item_id',feature_name='item_id',target='item_cnt_month')\nfig[0]","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:47:14.413940Z","iopub.execute_input":"2022-06-02T09:47:14.414533Z","iopub.status.idle":"2022-06-02T09:48:27.197451Z","shell.execute_reply.started":"2022-06-02T09:47:14.414492Z","shell.execute_reply":"2022-06-02T09:48:27.196509Z"},"trusted":true},"execution_count":62,"outputs":[{"execution_count":62,"output_type":"execute_result","data":{"text/plain":"
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PDAAzh48CBWrlyJadOmlXliJgAYOHAgvvvuOzz77LN48cUXoVKpDGcifvzxxwHcnjwHBwcbJoX29vYICwur8PVq69evj759++K9995DXl4eQkJCsGLFCly8eNFwAitTeOqpp/Dbb79h5MiRGDZsGPz9/ZGWloaDBw+idevW6NevHzp27Igff/wRM2bMMLw2v/32W6ll1atXDzt27EDnzp3h5OSEunXrwsXFBd27d8cPP/yAwMBAuLm5YeHChfecJN/t1VdfxVNPPQWlUokHH3wQzs7OuH79OrZv346JEyeibt261W5Qr149AMCPP/6I9u3bw8XFBfXq1cP48ePx6KOP4rnnnsOgQYPg6emJGzduYO/evXjkkUcQFRVV7XVXlKenJx577DF8+eWXsLGxQYMGDbBixQrk5+cLGwMRERERWTarODmTj48P5syZg7S0NIwbNw4//vgjpk+fjjp16lTo+Q888ADefPNNbN68GS+88AKOHz+OKVOmAPjv8iTA7cu6PP/881i3bh2effZZvPbaa9ixYwfatm1reMy4ceNQv359vPzyyxg8eHCpa4jebfLkycjNzcWECROwfPlyjBs3DsOGDbvn4+3s7PDDDz+gXr16mDZtmuEzvT/99JPRYZzTp0/HrVu3MGrUKAwePLjM66vezwcffIBHHnkEX331FcaNG4fk5GTMnz/f6FI41eXl5YXly5ejXr16mDlzJkaPHo3Zs2cjJycHYWFhAICuXbvi1VdfxaZNm/D888/j4MGD+Oabb0ota8qUKXB0dMSYMWMwePBgw8mT3n77bbRq1QrTp0/He++9h379+hmduOh+2rRpgyVLliAjIwNTpkzB888/j++//x4BAQHV+mzv3et4+umnsXjxYjz22GOGPwzUrVsXy5cvh6OjI95++208++yz+PLLL2FnZ1fh7dqUpkyZgkGDBuGrr77CK6+8Aj8/P4waNUr4OIiIiIjIMin0er1e6kGYo//973+YP38+Dhw4UOF36CojKSkJPXr0wPz58xETE2Py5RMREREREZkLqzhUuLoyMjLwzTffICoqCo6Ojjh06BC+++47DB48uEYmrURERERERPQfTlwrwNbWFhcvXsTatWuRm5sLX19fjBgxAi+99JLUQyMyOY1Gc8/7lErlPT9fTURERERUU3ioMBEZ3DlE/V4eeeQRfPTRRwJHRERERETEiSsRlVBcXIwzZ87c835PT08EBwcLHBERERERESeuREREREREJHP8sBoRERERERHJGieuREREREREJGucuBIREREREZGsceJKkrl8+TI+++wzi1tXeeLi4rBw4cIqP3/t2rXYunUrACAxMRHz5s0z3JeWlob58+dj5syZ2L9/P9RqNZYtW4aPPvoIK1asqPbYTU3u46sp27dvx+rVq6UeBhEREZHZsMiJ6w8//ICPP/74vtejNBdS/4Ir9fqravr06cjIyJB6GDWuTp06GD9+vOHrPXv2IDQ0FK+//jqioqJw6tQp5ObmYsqUKXj00UeFjq0ifyww5fjMdVslIiIiovJZ3MQ1MzMTV65cAYD7XtajqnQ6ncmXWZPMbbxyYa7dsrKy4OfnZ/S1t7c3lMrK/6iLaFCd8Zmaub7mRERERNbARuoBmNqxY8cQHByMoKAgHDt2DE2aNIFGo8Hs2bMxevRowy/1eXl5+OKLL/Dyyy/D2dkZZ8+exdatW5GZmQlfX1/069cP/v7+AIAvvvgCbdq0wfHjx5Geno433ngDe/fuxZEjR5CXlwc3Nzd0794d4eHhAG7/Avz333/j2LFjsLe3R3R0NDZu3Ii33noLSqUShYWF+Ouvv3D+/HkoFAq0aNEC3bp1K/XL+/nz57Fr1y4AQEJCAry8vDB27FgcPXoUe/fuRXZ2NpycnNCxY0e0adMGwO13uVavXo127drhn3/+Qf369dGvXz+sX78eZ86cgYuLC1q0aIH9+/dj0qRJAICcnBxs3LgRiYmJsLOzQ/v27REVFXXP9Ze0e/duXLt2DY899pjhto0bNwIA+vTpc9+x3m369OmYMGECvLy8ANw+JPZOWwD3fY1KWrRoEQBg/vz5AICHHnoILi4uAIC9e/diz549UCqV6N69O1q2bGlYl42NDbKyspCYmIgnnngCrq6uWL9+PVJSUuDm5oYePXogLCwMwO139Zs1a4ZWrVoBuH3475EjRzB69GgAwIULF7Bx40bk5uYiMjISqampRo8HgE2bNuHo0aNwcHBAbGwsGjZsWGaX69ev47fffkNGRkapx9x5vSdNmoQff/wRiYmJuHLlCv7880+EhYXh1KlThtevd+/eaNWqleE1yc3NRVBQEPr16wcPDw/Da9CnTx/s378fOp0OL730Urk/G+3atcOxY8eQlZWFBg0aYMCAAdDpdFiyZAk0Gg0+/PBDAMCECRPg6upqGPu2bduwe/fuSo1v48aNSEhIQGFhIby9vfHggw+iTp0699xWv/jiCzz00EOoV68egNvvymZkZGDgwIHIzMzEnDlz0L9/f+zYsQMeHh4YNWrUfddf0pIlS9CwYUO0a9fOcNv8+fPRtWtXhIeH33Osdyv5Gt5Rctx6vR579uzBkSNHUFhYiLp166Jfv35wdHSERqPBb7/9hvPnz0On08Hb2xtDhgwxbO9ERERElsIiJ67R0dEICgrCggULkJubCxcXF4SHh+P48ePo0aMHAODkyZOoU6cOnJ2dcf36daxbtw5DhgxBYGAg4uPjsWzZMowfPx42NrcTnThxAkOHDoWTkxOUSiU8PT0xatQouLi44OTJk1izZg2Cg4Ph6uqKI0eO4Pz58xg7dixsbW1LfXZv3bp1cHJywoQJE6BWq7F06VK4ubmVmtA1aNAAnTt3NvyifYezszOGDBkCT09PJCYmYsmSJQgKCkJAQAAAIDc3FwUFBXj55Zeh1+uxY8cOZGZm4sUXX4RarcaSJUsMy9Lr9Vi2bBnCwsIwaNAgZGdnY/HixfD29r7n+ktq2rQpduzYgaKiItjb20On0+HUqVN4/PHHKzTWiqrIa3THqFGjMH36dIwdO9YwCb58+TJyc3NRVFSESZMm4eLFi/j111/RuHFjODo6Gr3GQ4cORXFxMb755hu0bNkSw4cPx5UrV/DLL7/g2WefhY+Pz33Hmp+fj19//RUDBgxAWFgYDhw4gCNHjqBZs2aGxyQnJ6N58+aYPHkyDh8+jN9++w2TJk2CQqEwWpZWq8Xy5csRFRWFdu3a4cyZM1i1ahU6duxYar0jR44sNaH29vY2ev0SEhKwa9cuDBkyBN7e3ti9ezdWrVqFp59+2rCcM2fO4JlnnoGNjU2Fup88eRLDhg2DjY0NFi5ciLi4OLRp0wZPPvlkqQlZSTExMVAoFJUaX1BQELp27QoHBwf8888/WLFiBV5++eUKbav3kpiYiBdeeAEKhaJCfe5o2rQpDh8+bJi4pqamIjMz0/DHhXuN9e7ttTz79+9HQkICnnrqKTg5OWHjxo3YsGEDBg0ahLi4OBQVFWHixIlQqVRISUmBra1tpZZPREREZA6kPz7PhK5cuYKsrCw0adIEgYGB8PT0xPHjxwEAkZGROHnypOGxJ06cQGRkJADg8OHDaN26NYKDg6FUKtGiRQvY2NggKSnJ8PioqCi4u7sbfils0qQJXF1doVAo0LRpU3h5eSE5ORnA7V/ko6Ki4ObmBkdHR3Tq1MmwnNzcXJw7dw69e/eGnZ0dnJ2d0b59e6OxladRo0bw8vKCQqFAaGgo6tevj8TERMP9CoUCMTExsLGxga2tLU6ePIlOnTrB0dERbm5uiIqKMjw2OTkZeXl56Nq1K1QqFTw9PdGqVasKj8fDwwMBAQFISEgAAFy6dAm2trYIDg6u0FgrqiKvUXlUKpXh+2zYsCHs7OyQnp5uuD8sLAy1a9eGQqFASkoKiouL0alTJ6hUKtStWxeNGjXCiRMnyl3PuXPn4Ofnh/DwcCiVSkRFRZV6B8zd3R2tW7c2fC+5ubnIy8srtaykpCRotVq0b98eKpUKERERCAwMrPD3fLfDhw+jU6dO8PX1hVKpROfOnZGSkoLMzEzDY+5sK7a2thX+2XB1dYWjoyMaNWqElJSUGhtfs2bNDH886tChA7RaLdLS0qq8PgDo1q0b7OzsDN9veX3uaNy4sdF98fHxCA8PN0xMTTXWw4cPo3v37nBzc4ONjQ26deuGU6dOQafTQaVSIT8/HxkZGVAqlQgMDIS9vX11chARERHJkkW94xoXF4f69evDyckJwO3J6p13YENDQ6FWq5GUlAQXFxekpKSgcePGAG5/zu7YsWM4cOCAYVlarRY5OTmGr93c3IzWdezYMezbt8/wS2txcTHy8/MB3D701t3dvcznZmVlQavV4tNPPzXcptfrjR5fnnPnzmHHjh1IT0+HXq+HWq02+lyjs7Oz0bs65Y0nJycHH330kdF4ateuXeHxREZG4sSJE2jevDlOnDiBpk2bVnisFVWR16g8jo6ORodj29raori42PB1yS53mpV8B9Td3R3Z2dnlricnJ8doWQqFotT2U3Iie+ePISXHcveySo6jrMNWKyozMxN//vknNm3aVGo9d5Z79/ZRXve7v5fKvCaVHd/evXtx9OhRwzqKiooMP3dVVfL7rUifO+zt7dGwYUOcOHECnTp1wokTJ9C/f3/D/aYaa2ZmJpYvX260DSgUCuTm5qJZs2bIysrCypUrUVhYiGbNmqF79+5QqVSVXg8RERGRnFnMxFWtVhvehZg9ezaA279gFxYWIiUlBbVq1UJERAROnDgBZ2dnNGrUyPDOhJubGzp37owuXbrcc/klf2nMzMzE77//jhEjRhjeibrzeUoAcHV1NZrglPz3nXdNpkyZUqUT0mg0Gvz666945JFHEBYWBpVKhV9++eW+z7kzHl9f3zLH4+npiQkTJlR6LHdERERg06ZNyM7OxunTpw2HVVZ2rLa2tlCr1Yavc3NzDZOKirxG1VXyNXZ1dUVWVhb0er3h9jsnEgIAOzu7UmO9w8XFxaixXq+v0IS3LHeWdfc4PD09q7Q8d3d3dO7c2eiw5buV7CCie0n3G19iYiL27NmDESNGwM/PDwqFAh9//PF9l3e/1+mOu/84UV6fku4cKl+nTh1oNBrUrVu30mO9e7vX6XRGE1x3d3c89NBD9/xjUrdu3dCtWzdkZmZiyZIl8Pb2NvosNREREZElsJhDhRMSEqBQKPDCCy9g7NixGDt2LF544QXUrl0bx44dA/Df4cLHjx83elewdevWOHz4MJKSkqDX61FcXIyzZ8+iqKiozHXd+SXzzju7R48exc2bNw33R0REYP/+/cjOzkZhYSH27NljuM/V1RX169fHX3/9haKiIuj1emRkZODy5ctlrsvFxQWZmZnQ6/UAbk/GtVqt4RDEc+fO4cKFC/dtExERgd27d6OgoADZ2dlG754FBQXBzs4Ou3fvhlqthk6nw82bNw2HPd+9/rI4OzsjNDQU69atg6enp2GCXNmx1qpVC8ePH4dOp8P58+eNDimu7Gvk7OyMW7du3bfL/QQHB8PW1hZ79uyBVqvF5cuXcfbsWcN24+/vj9OnT0OtViMjIwNHjx41PLdRo0a4efMmEhISoNPpcPDgwTInTBUREhICpVKJ/fv3Q6vV4vTp04bXpipat26N3bt3G7bXwsLC+x4WXtnuJbm4uKCgoACFhYUmGV9xcTGUSiWcnZ2h0+kMn60uub67t9VatWrhxIkT0Gq1uHbtmuFkVVVZf1kaNmyIrKwsbN++HU2aNDFMgssba0ne3t7QaDQ4e/YstFotdu7caXQpr9atWxtOjgXcPrFcyUPzb9y4AZ1OB3t7e6hUqlKfkyYiIiKyBBbzjuuxY8fQokWLUofctmvXDhs3bkSvXr0Mk5GcnByjs7MGBgaif//+2LhxI9LT02Fra4vatWuXeQZQAPD19UV0dDQWLFgAhUKB5s2bG70b0rp1a6Snp2P+/Pmwt7dHu3btcPnyZcMvlAMGDMDmzZvx1Vdfobi4GJ6enmWebAe4PemMj4/HrFmz4OHhgTFjxqB3795YuXIlNBoNwsLCDGe6vZeuXbti/fr1mDNnDlxdXREZGYm4uDgAgFKpxNChQ7Fp0ybMmTMHWq0W3t7ehjP5lrX+sjRt2hRr165Fz549DbfZ29tXaqy9e/fG2rVrcfDgQTRu3NhwKDdQ+deoW7duWLt2LdRqNfr37w9nZ+f7NrqbSqXCkCFDsGHDBuzevRuurq4YMGCA4cRM0dHRuHbtGmbPng1/f39ERkbi4sWLAG7/QePRRx/Fxo0bsXbtWkRGRiIwMLBKh2+qVCo8/vjj+P3337Ft2zY0bNjQcPbqqggPD0dxcTFWrVqFzMxMODg4oF69emjSpEmZj69s95J8fHzQtGlTzJ07FzqdDi+88ILRWYUrO7769eujQYMG+PLLLw1nvy55mG9Z22pMTAxWrVqFjz/+GKGhoYiMjERBQYHJ+tjY2KBx48aIi4sz/MwAKHesJTk4OKBv3774/fffodPp0LFjR6PHtm/fHgDw888/IycnB87OzmjSpAkaN26M3NxcrF+/HtnZ2bCzs0OTJk3QvHlzAMAff/wBAOjXr999mxMRERGZA4X+fm+lkUmcO3cO69evx8svvyz1UAAABw8exMmTJ/HUU09JPRSroNfr8dlnn2HgwIGGQ0mJiIiIiKjiLOZQYTlRq9U4d+4cdDodsrOzsWPHDqN3D0XLycnBlStXoNfrkZaWhn379kk6Hmtw/vx5FBYWQqPRGK4veudMy0REREREVDkWc6iw3Gzfvh0rV66EjY0NGjVqhJiYGMnGotVq8ccffxgOfWzSpAnatm0r2XisQVJSElavXg2tVgtfX188/vjjvL4mEREREVEV8VBhIiIiIiIikjUeKkxERERERESyxokrERERERERyRonrkRERERERCRrnLgSERERERGRrHHiSkRERERERLLGiSsRERERERHJGieuREREREREJGucuBIREREREZGsceJKREREREREssaJKxEREREREckaJ65EREREREQka5y4EhERERERkaxx4kpERERERESyxokrERERERERyRonrkRERERERCRrnLgSERERERGRrHHiSkRERERERLLGiSsRERERERHJGieuREREREREJGucuBIREREREZGsceJKREREREREssaJKxEREREREckaJ65EREREREQka5y4EhERERERkaxx4kpERERERESyxokrERERERERyRonrkRERERERCRrnLgSERERERGRrHHiSkRERERERLLGiSsRERERERHJGieuREREREREJGucuBIREREREZGsceJKREREREREssaJKxEREREREckaJ65EREREREQka5y4EhERERERkaxx4kpERERERESyxokrERERERERyRonrkRERERERCRrnLgSERERERGRrHHiSkRERERERLLGiSsRERERERHJGieuREREREREJGucuBIREREREZGsceJKREREREREssaJKxEREREREckaJ65EREREREQka5y4EhERERERkaxx4kpERERERESyxokrERERERERyZqN1AMwpfnz52PXrl1ISUnB999/j7p165b7nOzsbMydOxdnz56FjY0NunXrhhEjRggYLREREREREVWERU1cO3bsiIEDB+Lll1+u8HNmzZqFli1b4s033wQAZGRk1NDoiIiIiIiIqCosauIaGRlZ5u2nT5/Gd999h/z8fADAU089hfbt2yMpKQkXL17E+++/b3isl5eXkLESERERERFRxVjUxLUsubm5+OKLL/Dhhx/C29sb6enpGDduHBYsWIDExET4+vpi9uzZOH/+PLy8vDBmzBiEhoZKPWwiIiIiIiL6l8VPXE+ePInr16/j9ddfN9ymUCiQnJwMnU6HU6dO4emnn8bkyZOxa9cuvPnmm/j5558lHDERERERERGVZPETV71ej3r16uGLL74o835/f380a9YMANC5c2fMnDkTWVlZcHd3FzhKIiIiIiIiuheLvxxOkyZNkJycjKNHjxpuS0hIgF6vR6NGjeDg4IDLly8DAOLj4+Hq6go3NzeJRktERERERER3U+j1er3UgzCVefPmYdeuXcjIyIC7uzvc3NywcOFCJCQk4Ntvv0VOTg40Gg0CAgLwwQcfQKlU4syZM5gzZw7UajXs7e0xfvx4NG7cWOpvhYiIiIiIiP5lURNXIiIiIiIisjwWf6gwERERERERmTdOXImIiIiIiEjWOHGVWHp6utRDsDpsLh6bi8fm4rG5eGwuHpuLx+bisbk8ceIqsbS0NKmHYHXYXDw2F4/NxWNz8dhcPDYXj83FY3N54smZJFZYWAgHBweph2FV2Fw8NhePzcVjc/HYXDw2F4/NxWNzeeI7rhJLTEyUeghWh83FY3Px2Fw8NhePzcVjc/HYXDw2lydOXCXm5OQk9RCsDpuLx+bisbl4bC4em4vH5uKxuXhsLk9Wf6jwy9tmIK3gltTDkJSPoye+iJkmbH1szuZSENmcvW9jc/G4bxGPzcVjc/HYXDzRzc2BjdQDkFpawS38HDtb6mFIatiGV4Wuj83ZXAoim7P3bWwuHvct4rG5eGwuHpuLJ7q5OeChwkRERERERCRrnLgSERERERGRrHHiSkRERERERLLGiSsRERERERHJmtWfnInMQ9DDI6QeQpmS1y2WeghERERERBaPE9f72HR5N3YlHcLV3OuIDmiJMc2fMNx3Iu0cfjy5GukFmajvURtjmj8OH0evEvefxbKE9UjJuwknWyc8Gd4f7QNaAACO3DiJX89sQGrBLdR2DcAzkY8iyLUWAECt1WD5mfX45/oxFGvViA5sgeERA2CjVBmNLSUvFa/v+hRtazXDuBZDDbdnF+Xip1PrEJd6Ggoo0MKvMca1eLIGK5nW/ZrL3bfxy7Ez6SBmd30NtZx9pB5OhVV1O5+68xOjU9WrdRo09w3DK22eBgAkZifju/hfcS33JgJd/PBss8dQxy3I8PhLWUn4+dQ6XM5Ohr3KDg/V74HedTsDAFLzM/Bt/HJcyLwCb0cPjGzyCJr6NDI8d+OlnfjjwjYU6YrRrlYzjGoyCLYq89mdSbFv2Zl0EJsu70ZKfhocbRzQIbAlHmvUB6oS+5Z9145izbm/kV54C+72bniu2eNo7FUPAPDP9TisPrsJGYVZ8HJ0x2ONYtGmVlMBtUxDjvvz+43p/K1ErDz7Jy5lJ0GpUCLcqz6GRwyAp4ObgFqmIcW+ZeOlndh0eTdy1HlwUNmjfUBzDGncDyqlCllFOfjp1DokZFxEkbYYwa618GR4fzTwqAMAuFWYjYUnVuJSVhIyi7Lxebc34Ov033ZgDqTYzhceX4k9144YlqPVa2GjsMH3D84w3Ha/fcsda85twqpzm/Bau+eM9vdyJ0XzfdeOYtW5TcgqyoGtUoVmvo0xIuIRONk6lDumkqyteXn7lgXHV+B0xkXcyEvDs80eQ5fgtobHXs25jqWnf8elrCTkqvPvecbjsn4/P5V+HotPrkVGYSaUCiXCvOphZJNH4OXgbvI2ls58ftOTgKeDOx5u0BPH086gWKs23J5TnIc5R37EM5GPoqVfBFae/RNfHv0Z0zu8CABIzknB/+KWYEyzJ9DUpxHyNYXIVxcAuL1B/+/YUkxu8wwaeNTG+ovb8enhRfikyxSolCr8fnErLmYl4aPOr0Kn1+HTwwux7vxmDGr0oNHYfji5BnXdQ0qN+YsjP6KeewjmxEyDncoOSTkpNVjI9O7VXO7OZFzCzfx0qYdRJVXdzj/uMtnwWL1ej0nbP0S7Ws0BABqdBp8dWoTedbugZ+0O2Hp1Hz47tAifdnsNNkob5BTn4ZOD3+HJ8IfRrlYzaPQaZBRmGZb3VdwSNPCog8ltn0HczdOYe2QxZnd9DW72LohPPYPfL2zFG1Fj4enghs8P/4BV5/7CE437CipWfVLsW4q1agyLeBgNPGojuzgPnx1aiPW2TniofncAwPHUs/glYT0mtByOeh4hyCzKMYwrozALX8ctw6TWT6GZb2PEpZ7Gl0d+wucxb8Dd3lVguaqT4/78fvu7PHU+Ymq3x4s+YVAplfjx5Bp8G78cU9s9K6hY9Umxb2nlF4EuwW3hbOuI3OJ8zD36I/66vBux9bqiSFuMeu4heDL8Ibjbu2D71QOYfXABvoiZBgcbeygVCjTzDcND9btj+r55YmOZiBTb+ejIwRgdOdiwrm+O/QKFQmH4+n77ljtu5KVh//V4eNibzx9m7pCieSPPungnejxc7ZxRqCnCwhMrsfLsnxjRZMB9x1SSNTa/374FAGq7BiIqoAWWJ6wvtU6VQoWogOboWacDPj/8wz3HVtbv50Eu/pja7ll4OrhDrdVg5bk/sejEKrzSZnRVE1gtfsb1PtrWikSbWk3hYutkdPvBlOMIdvFHVEBz2KlsMbDhA7iSfQ3Xcm8CANae34KY2tFo7hcOlVIFVztn+P/7Dlx86hmEedZFmFddqJQq9Ksfg1uFWTidcREAcPTGKTwY2gkudk5ws3fBg3U6YUfSAaP177t2FE42Dmji3cDo9uOpZ5BRmImh4f3gZOsIG6UKoe5BMCf3ai5nWp0Wi0+twYiIAVIPpUqqup2XlJBxETnF+WhbKxIAcDr9AnR6HXqHdoatygYPht5+J/Vk+nkAwIZLOxDpE4aOQa1gq7KBo40Dglz8AQDXc1NxOTsJgxo9ADuVLdoFNEOwawAOpsQDAHYlHULXkHYIdq0FZ1snDGjQC7uSDtVYn5ogxb6lZ50OaOxVDzZKG3g5uKNDYCucu3XJsO7V5/7CIw17oYFnHSgVSng5uBv+GpxRmAlnWwc09wuHQqFAS78I2NvYmdUfa+S4P7/f/q65XziiAprDydYB9io79KrTEeduXa6hOjVDin2Lv7MPnG0dAQB66KGAEjfy0wAAfk7eiK3XFZ4OblAqlOheuz00ei2u56UCANztXdGrTkfUK+OPwuZCiu28pEJNEQ6mHEfnoDaG2+63b7njh5Nr8ETjvqWOLjMHUjT3dvSAq52zYV1KxX/b+f3GVJI1Ni/p7n0LAPQK7YimPg3LPIIr0MUP3UKiEORS657jutfv5+72rvAssc0rYfx6UcXxHdcqSMpNQW23QMPXDjb28HfyRlJOCgJd/HA+MxF+zt54beds5Kjz0MS7IUZEDICL3b13IEk5KWjq0xDA7f+zvUOP2+925KsL4GTriHx1IVad/QuvR43F9qv7jZZxPjMRAc6+mH/sF8SnJsDXyQtDG/dHuHd90wYgIxsv70SYVz2jbcISlLedl7Qr+RDa1oqEg439v8+9gRC3AKO/uoe4BiA5JwXNfRvjQmYigl0DMH3vl7iRn4b6HrUxsslA+Dh6Iik3BX6O3nC0cTA8t45bAJJybwAAknNT0Nq/SYn7ApFVnIOc4jyj/yM3RzW9bynpzK2Lhv8D1ul1uJiVhJb+TTBp+0yodRq08W+CIY37w05li3ruIQh08cfhGyfR0i8cR26cgo3SBiGuAaaPIJiU+/PKOJNxEUGu/pX75mSqJvctALA3+QgWnlyFQk0RXO2cMTS8f5njSMxOhlanhb+Tt6m/RdkRtW85mHIcrnbOhsOAy9u3AMD+68dgq7RBC79w4GQNfPMSqenmZzIuYfahBSjQFMJeZYuXWz1V4bFZa/OS7t63VNf9fj8HgLSCW3hj16co0BRBqVDg6chHTbJea8N3XKugSFNs9Es1ADjaOqJQWwTg9i8me5IP46VWI/Fp19eg1qqx+NQaAEBTn0ZIyLiAU+nnodFpsO78Fmh0WhRriwEAzXzD8Nfl3cguykVmUTY2Xd51e53/Hgqx8tyf6BrSDt6OHqXGlVGYheNpZxHhXR/zeryD2Lpd8fnhRcgpzqupFFYvvSATW6/8g8ENHyz/wWamvO3c8DhtMQ6kxKNz8H9/YS/UFMHJxvgXcydbBxRo/v0ZKcjC7qRDGBbxML6IeRO+jt74Km6JYXmOtnet18YRhf8+t/Cu+++M8c795qwm9y0l7bh6ABezktC3XjcAQFZRDrR6LQ5ej8db7V/Ah50m4XL2Naw9vxnA7b/mdwpqjf/FLcFTf76G/8Utweimg0z2f/hSknJ/XlFXsq9hzfm/MaRxv+p+u7JQk/sWAOgQ1ArfPzADs7tORffa0XC3dyk1hnx1Ib6OW4ZHGvSq9B8RzJGofcuu5EPoFNTa8IeF8vYtBZpC/HpmI4ZHPFyT374karp5mFddfPfAB5jb/S3E1u1m9NnZ+7Hm5obHlbFvqa77/X4OAD6Onvj2gQ/wdc/pGNyoNwKd/cp8HN0fJ65VYG9jhwJNodFtBepCOKhu/xJnp7JFl+C2CHDxhYONPR5q0ANxNxMA3D7UYEyzJ7D45BqM3/IectR5CHLxg9e/G/rDDXoi1C0Q03Z/hul756G1f1OoFCq427sgMTsZJ9POoU/dLmWOy1ZlC19HT3QLiYKNUoXowJbwcvDA2RKHA1qibi0jsfN/H2P3/E/wwqB7/2IXG90GyesWo1mDuobbwuuE4LeP38bWLz/E5jkzYG97+y/AkfVDsXnODOye/wnee3bYPZf586l1FvuLT3nb+R0HU47DxdYJ4V7/vbPvYGNf+rmaQjja/Pcz0tq/Kep71IadyhaPNOyFc7cuI19dAHtVGevVFBomSQ533X/n35YwiarJfcsdh1JOYPmZDZjS5hnDO9R33vnoFdoRng5ucLVzRp/QLjiWehrA7ROI/JKwHtOinscPvT/CtPbP4/vjK5CYnVyTOYSQan9eUSl5afjk4PcYHjGg1MlszFVN7ltKquXsi2AXf/xwYrXR7cVaNT47vBANPOvgoQY9qvvtmAUR+5a0gls4nX7BaDJQ3r5l9blN6BTUyuxOglURIpoDgJeDO5r7Nsa8uJ8rNC5rbn5HWfuW6ijv9/OSXOyc0Dm4DT47vAhandYk67cmPFS4CoJdamFX8n+fqSvUFOFmfjqC/z3bW4hrABT3ejKAdgHN0S7g9ofB89QF2HH1gOEzNXYqW4xsMhAjmwwEAGy98g/qugdDqVDidPoFpBVk4KWtt8/UV6gtgk6vw7TdNzCj00TUdg3A0RunjNZV8nAqS6RUKjBjzAgMeWcWrqdnYMPs6dh04AjOXb1m9DhnRwc83f8BHDlz3nCbSqnE3Elj8NLn3+DU5avwdHWBWqsBAMwcOxJTvlqII2cv4Ke3X0FMq2bYdiS+1PpPpp/DmVuX8EuJD/JP3/clhoc/jA5BrWrouxajvO38jt1Jxn9hv/1cf2y4tAN6vd5w+5Xs6+hZpyOAf39GSjxegZLPrYXU/Ix/fxl1+Pe519AhsCUAIMilFq5kXzecefFK9jW427ma/WHCQM3uWwDgWGoCFpxYgVfbPI0Qt/8O83W2dYKXg7vR61Dy9UnMvoYwr3qo53F7WfU9aqOBR22cSDtndKZocyTV/rwi0goy8NGBbzCgQU90Cmpdhe9Onmpy33I3rV5n9FlstVaDzw8vgpeDO0Y3HWTKb0vWanrfAgB7kg+jkWco/Eocel3evuVk2nlkFGZic+I+AEB2cS6+PPoT+tWLQf9/TxxnrkQ0v+Pu7fx+rLn5HWXtW6qjvN/P76bV6ZBdnIsCTdF9Dw2n0viO631odVoUa9XQ6fXQ6XUo1qqh1WnRxr8pknJScOB6PIq1aqw9/zdC3AIMx893DW6LnUkHcTM/HUXaYvx+YSta+oUblnspKwk6vQ7ZRblYcHwFWvk1MTw3ozALtwqzoNfrcf5WItae/xuDGj4AAIip3R6fdnsdMzpPxIzOE9GjdjRa+IVjatvbZ5ls4x+JPHUBdiYdhE6vw4Hrx5BRmIlGnnVhLu7V/F5aNqyPyyk3ceVGKtQaLdbt+gcPtis9YZwydBD+t2o9Cov/O0Sva8umOH35Kk5dvgoAuJWTC51ODz9Pd7g6OeLI2QsAgJXb9qB3VNmT0E+6TsWHnScZXhMAeKX1aLQp8WF/uavqdg7cPlT6VMYFoxNxAEC4d30oocBfl3dDrdVg0+XdAGA4YUGX4LY4lHICidnJ0Oi0WHv+bzTyrAsnW0cEuPiitlsg1pz7G8VaNQ6mHMfVnOtoW6sZAKBTcGvsuHoAyTkpyFMXYN2FzSY93EcEKfYtJ9PO4eu4pXip1QjU96hdakxdgttiU+JuZBXlIE+dj42XdqKFXwQAoJ57CM5kXDS8w3o5KxlnMi6hthl9xlVu+/P7jenOcz/c/w161emIHnU6CCxlOlLsW7Zd3Y+sf89am5yTgt8vbEWE9+3PBGp0Wsw9+iPsVLYY0+yJMv+AUKxVQ627/QdMtU5jVme3B6TZzu/YlXzY6PIhd9xv3/J61Bh81OVVw/+Hejq4YXTTweh1jz9EyJEUzfckHzFc1iWtIAMrzm40OiHQ/fYt1twcuPe+Bbh91vJirRp6o3XoANw+C/Ht9dzePxRr1YY3O8r7/fxgynFcy71peD2XnP4NddyCOGmtAr7jeh9rz2/GmvN/G77ec+0IHmnQC4MaPYiXWo3AjyfX4OtjS1HfozbGt/jvcNKuIe2QVnAL7+ydCwBo5hNmOEU5APx0ai2uZF+HSqlEu1rN8WSJE0fczE/D/GO/ILsoF16OHng8rC8ifcMAAPYqO9ir7AyPtVfZwVZpC7d/DztzsXPCpDaj8MOJ1fjx5BoEOvthYutRZvVO1L2a30stb09cS/vvr4zX0zPQspHxoR9N69VBgI8Xthw+hrGPxBpurxcYAOiBJe9OhrebK9bt+gdfr9mAWt5euJ5+y2iZtbzLPqSmrEuBuNg5Gw6PMgdV3c6B239hb+BRx3AmxDtslDaY2HoUvj/+K5afWY9AF39MbD0KNsrbu5wmPg3xWFgfzD64AEVaNcK8QvFCiesNj28xDN/E/4Ixf78Fb0dPvNhqhGE7b+7bGH3rdcOM/fNRrFOjrX8kBpnZZ4yl2LesPb8Z+ZpCfHJwgeG2MK+6mPLv/7EOaNALOcV5mLzjY9gqbREV0BwP1799GGW4d30MbPgA5hxZjOyiXLjaOeOh+t0N+yZzILf9eXlj2n51P27mp2P1uU1YfW6T4TELHvzQpF1qkhT7lrMZl7DizEYUaYvgaueCdrWaYXCj3gCAc7cu4+jN07BT2uK5v98yLHNy22cMh2GP/ut1w+1Tds4CgHter1GOpNjOgdttbxVmol1As1Jjut++5e7fT5QKJZxtHc3qox9SNE/OvYFfzqxHvjofTrZOaOHbGI+F/ff7zf3GZM3NgXvvWwDgowPfIuHfMzefu3UZC06sxBtRYxHh3QBpBbcwcft/+9/Rf70OH0dPfBEzrdzfz28VZmHp6d+QXZwLB5UDwr3rY2LrkSZtYi0Uer1eX/7DLNewDa+a1f8p1QTRDaqyvqCHR5R5e98ObdGtVSQmz1sIABjUrQNaNqqPN7/9CcDtQ5J+ff81TJz7HZJupmHFB6/j/R9+Qfz5SxgzoA+eiu2J2FfeQUFRMX59/zXMWrIS2fkFeGPEY3ji7Y8BAO0iGuGFgf0w8oPPSq0/ed3iSn0fd5hDc0sjsgF738bm4nHfIh6bi8fm4rG5eGxQGt9xJbOWkn4LgT7/fZ4mwNsLKSXeLXVxdEDjOsFY+cHtv6L7erpj0bSXMWrGF7ienoH9J8/gVk4uAGDr4WNoWj8Uq7fvQYC3513LzBD0HRERERER0d34GVcya3HnLqJugD9C/Hxga6PCw53bY9OBo4b7c/ILEDn8BbR/7hW0f+4VHDlzAaNmfIH485ew48hxNK4TDAc7O6iUSrRv2hjnriTj5q0s5OQXoNW/hxwPjumIvw4cKXP9RWrz+vwTEREREZE54juuZNa0Oh3e/HYxlr47BUqlAsu37MTZq8l4dehAHDt/CX+XmMTeLSsvH9+u+xMbPn0Xev3td1y3HD4GAHjjm8X4/MVn4WBni21H4rH1cOkzCgNA1DOTMKRXVwzv3R2BPpZ3ankiIiIiIjngxJXM3tbD8dh6eIrRbbOXri7zsY++OdPo69U79mL1jr2lHhd//hJ6vPhGueteOeN1/LhhC3q9NA0dm0VgdL9eiIoIs/jLEBERERGReTtw4AC++uor6HQ6xMbGYsiQIWU+bufOnZg+fTr+97//ISwsDCkpKRg1ahRCQm5foik8PBwTJ5a+9I+pceJKVA0NggPx/nPDMWXYYKzatgdT/7cItjY2GNW3Jx7p0gFODuZzlj4iIiIisg5arRZz587FrFmz4Ovri3HjxiE6OhqhoaFGj8vPz8fq1asRHh5udHtgYCC+/fZbgSPmZ1yJTMLVyRFP9e2J7fM+wtujhmDzwTi0e2Yi3lu0DIkpN6UeHhERERGRQUJCAoKCghAYGAhbW1vExMRg797SRyEuWrQITzzxBOzs7MpYilh8x5XIhBQKBbq0aIouLZriyo1ULN64Bf0mT0ersPoYFdsTXVo0hVLJvxcRERERkekVFRWhuLi41O12dnawt//vSMC0tDT4+voavvb19cXp06eNnnP27Fmkpqaiffv2+PXXX43uS0lJwZgxY+Dk5IRRo0ahWbPS13E2NU5ciWpIbX9fvPnUE3hlyCNYu/MfzFj8K9767mc8FdsTGq1O6uERERERkYU5deoU4uLiSt3eokULtGzZssLL0el0mD9/PqZMmVLqPi8vLyxduhTu7u44e/Ys3n77bSxYsADOzs7VGXq5rH7i6uPoiWEbXpV6GJLycfQs/0EmXp+lNK/M9+HXS4+sFDXmbVuBW0lqvJHyI0b17YmGIUE1OMLbLKl5VYncztn7NjYXj/tz8dhcPDYXj83Fq2rziIgINGjQoNTtdx/q6+Pjg9TUVMPXqamp8PHxMXydn5+PS5cuYdKkSQCAjIwMvPXWW3j//fcRFhZmWF6jRo0QGBiIpKQkhIWFVWnMFaXQ6/X6Gl2DBUvNz8DOpIPVWoZarYatrW21ltEluC18nazjUizlNd+xOwEJZ1MwZnS3ez5GDs2vp2dgyV/bsWTTNjQKCcLofr3Qs01LqFTyO4yY27l4bC4em4vH5uKxuXhsLh6bV4xWq8XIkSPxySefwMfHB+PGjcO0adNKnZzpjkmTJmHMmDEICwtDZmYmXF1doVKpcO3aNbz88sv4/vvv4ebmVqNjtvp3XKWWk5MDLy/5btTmpKhIjU1bTmLcs93v+zg5NA/w9sKrQwdiwqP9sWHvQcxb9Qfe/n4JRvbpgSd6doGXm6uk4zM1OTS3NmwuHpuLx+bisbl4bC6eNTRXqVSYMGECpk6dCp1Ohz59+iA0NBSLFi1CWFgYOnTocM/nxsfH44cffoCNjQ0UCgVefvnlGp+0Apy4So7X+zSd7bvPoGEDfwQF3v/QCjk1t7e1xSNdO+CRrh1w7NxFLNqwGZ3GTkaf6DYY1bcnmtYLlXqIJiGn5taCzcVjc/HYXDw2F4/NxbOW5lFRUYiKijK6bdSoUWU+9rPPPjP8u0uXLujSpUuNjq0snLhKrKY/xGwt8vKLsH1nAiaOf6Dcx8q1efOG9fDFS88hPSsbS//egVEzvkCQrzdGxfZCbIc2sLUx3x9XuTa3ZGwuHpuLx+bisbl4bC4em8uT/D5QZ2VycnKkHoJF2LL9FJpHhsDPt/zDFOTe3NvdDRMG98e+bz/Fcw/3xs+btiHqmUn47Jc1uHkrU+rhVYncm1siNhePzcVjc/HYXDw2F4/N5UnIWziffPIJ/vnnH3h4eGDBggWl7tfr9fjqq6+wf/9+2NvbY8qUKWjUqJGIoUnO0dFR6iGYvazsAuzdfx5TJ/at0OPNpbmNSoXY6LaIjW6LhMQk/LBhM7q98BpiWjfDqL690DqsgdkcymIuzS0Jm4vH5uKxuXhsLh6bi8fm8iTkHdcHH3wQM2fOvOf9Bw4cQFJSEhYvXoxJkyZhzpw5IoYlCzodr+dZXZu2nEBUm3rw9HCq0OPNsXnjOsH46PmnsO/bT9GiYT289Pk36PPKO1i+ZRcKy7jItNyYY3Nzx+bisbl4bC4em4vH5uKxuTwJmbg2a9bsvmea2rNnDx544AEoFApEREQgNzcX6enpIoYmuaKiIqmHYNbSM3JxOO4yesY0qfBzzLm5u4sznn2oN3Z9PQuThw7CH3v2o90zEzFz8a9Iupkm9fDuyZybmys2F4/NxWNz8dhcPDYXj83lSRZne0lLS4Ovr6/ha19fX6SlpcHb27vUY4uKilBcxjtMdnZ2sLe3r9Fx1gR3d3eph2DWNm6KR5cOYXB1cajwcyyhuVKpRI82zdGjTXNcvJaCHzdswYOT3kL7iMYY1a8XOkaGy+owYktobm7YXDw2F4/NxWNz8dhcPDaXJ1lMXCvj1KlTiIuLK3V7o0aN4OPjg4CAAKSnp6O4uBh16tRBYmIi3NzcYGNjg4yMDAQFBeHGjRvQ6XQICgrC1atX4eHhAQDIzMxESEgIkpOToVQq4e/vj+TkZHh5eUGj0SA7O9uwTDs7O9h7OSE9PR1OTk7QaDQoLi6Gu7s7srKyYGNjAwcHB+Tm5sLJyQlqtRpqtdpwv62tLWxtbZGcnIyQkBAUFhZCo9EY7rezs4ONjQ3y8/Ph4uKCgoICaLVaw/329vZQKpUoKCiAupYaFy5cMMn35O3tjevXr8PHxweFhYXIzc013O/g4AAPDw+kpKTA19cXeXl5yM/PN9zv5OQEZ2dnpKamolatWsjMzERhYaHhfhcXFzg4OCAtLa3Kr1ORrQbp6elwc3PDhYvXcPJ0Ml5/JRbp6elwdHSETqdDUVGRoZNKpYKjo6PhddBoNLhx4wZCQ0Mr9TrdeR3uvE7aAC3OnDljku+puq+TvV6LoZ3b4MXBfbFw7Qa89r+FUCqV6NeuBYY+EAO9VlOt1ym38PYREGVte66ursjLy4Ner4erqyuys7Ph4HD7jwiFhYVwc3NDTk4OMjMzERwcjJycnAq/Tnf/PBX7F+PMmTOSbXsif56ysrOQnZ1d5rZX0X1EXl4efHx8KvU6KRQKODs7G16ngoICnLl6xqz2EVV9nbLys1BQUFDlfXl+fj6Kiorg7Oxc5X25q6vr7Z+X5HSL35cDQI4+H2q1usxtr6L7CI1GAxsbmyrvy93d3ZGVnYXiWwVmtY+o6uukdQQ0Gk2V9+UKhQKFhYWws7Or8r7cwcEBWdlZUBXCrPYRVX2d7L2cUFBQUOV9ub29PTIzM+Ho6FjlfblOp0NWdhZclU5mtY+o6uvk7He7Q1X35S4uLrh27Rrc3NyqvC/Py8tDtls2nOEgfNsLCwur+kRL5hR6vV4vYkUpKSmYNm1amSdn+uyzz9CiRQt0794dADBy5Eh89tlnsn/HNTU/AzuTDlZrGZmZmYaNuaq6BLeFr5NlXyT5jpLNv/9xJ+rW8UGPbhGVWoalN9fr9dh7/DQWrf8b+04mYFC3jngqtifqBdaq0vK4nYvH5uKxuXhsLh6bi8fm4rG55ZLFO64dOnTA2rVrERMTg9OnT8PZ2bnMSSsA2Nvbm+UhwffCs5ZVTeLVdCReTcOIoR0q/VxLb65QKNCxWQQ6NotAcmoaFm/cigGvvY9m9etiVN9eiGkVCaVS7JWwLL25HLG5eGwuHpuLx+bisbl4bC5PQiauH3zwAY4dO4asrCw8/vjjGDlyJLRaLQCgf//+iIqKwv79+zF8+HA4ODhg8uTJIoYlC7m5uRY1ERflj41x6N0jEna2ld+Eral5kK8PXh/xGCY+MQDrdu3HJ0tX4e3vfsLI2J54vEdnuLuIucC2NTWXCzYXj83FY3Px2Fw8NhePzeVJyMT1zTffvO/9CoUCL730koihyI6TU8Uu4UL/OXs+BekZuWjfrn6Vnm+NzR3s7PB4j854rHsnHD5zHj+s34wvlq9F/05ReCq2J8JDQ2p0/dbYXGpsLh6bi8fm4rG5eGwuHpvLkywOFbZmGo1G6iGYFb1ejz82HkOfB5pBpara4a7W3FyhUKBN44Zo07ghbt7KxJK/tuPJdz9BvaAAjOrbEw9GtYKNSmXy9Vpzc6mwuXhsLh6bi8fm4rG5eGwuT2I/6EallHWiKbq3nUdOorhYg9YtQqu8DDa/zc/TAxOfGIB/vvsMw3vH4Lvf/kT7Z1/B3BW/IT0r26TrYnPx2Fw8NhePzcVjc/HYXDw2lye+4yoxXieq4nQ6HeYtX4++vZtDqaz6NUrZ3JidrQ0e7tweD3dujxMXL2PR+s3o/PwU9GrXEqP79kJgkEe118Hm4rG5eGwuHpuLx+bisbl4bC5PfMdVYllZWVIPwWys2/UPHB3s0DQiqFrLYfN7a1ovFJ9OeAa753+CsNrBeG7WPAx/63McPHIJao22ystlc/HYXDw2F4/NxWNz8dhcPDaXJ05cJWZjwze9K0Kt0WD20tWY8Hg/KBRVf7cVYPOK8HJzxbiBfbF3/myMfrgnDhy6iHdnrMX6v44hMyu/0stjc/HYXDw2F4/NxWNz8dhcPDaXJ74qEnNwcJB6CGbhl807EeLvi7ZNGlb7otJsXnEqlRIxbSKhqlWIlBtZ2LX3LD76dD3CGtVClw5hqFfXt0J/SGBz8dhcPDYXj83FY3Px2Fw8NpcnTlwlxutEla+gqBhf/LoO37/2okmWx+YVE/TwiHved/TYFRw9dkXgaABgCQAged1iwes1T9zOxWNz8dhcPDYXj83FY3N54qHCEuN1osr348YtaNmwHlo2qtp1W+/G5mQNuJ2Lx+bisbl4bC4em4vH5vLEiavE1Gq11EOQtZz8Any9ej0mPznIZMtkc7IG3M7FY3Px2Fw8NhePzcVjc3nixFVi/MG4v2/XbUS3VpEIqx1ssmWyOVkDbufisbl4bC4em4vH5uKxuTxx4ioxXifq3jKyc7Bw/d94ZchAky6XzckacDsXj83FY3Px2Fw8NhePzeWJE1eJ8TpR9/blyt/xcKf2qO3va9Llsnn1dGsZiZ3/+xi753+CFwb1u+fjYqPbIHndYjRrUBcA0Ll5E2z8dDo2z5mBjZ9OR8fIcMNjH+oUhb/nfICtX36IN0Y8VuPfgzXgdi4em4vH5uKxuXhsLh6byxMnrhKztbWVegiydC0tA79u3YWXHnvY5Mtm86pTKhWYMWYEhk2fjZjxr2FA5/ZoGBJY6nHOjg54uv8DOHLmvOG2jOxcPDXjc/R8aRpenvMt5kwcAwDwdHXBm089gcff+hjdJ7wBP08PdGoWIex7slTczsVjc/HYXDw2F4/NxWNzeeLEVWL8wSjbF7+uw5O9usHfy8Pky2bzqmvZsD4up9zElRupUGu0WLfrHzzYrlWpx00ZOgj/W7UehcX/fUbk5KVE3MjIBACcuZIMBzs72NnYoLa/Ly5dS0FGdg4AYNexE4iNbivk+7Fk3M7FY3Px2Fw8NhePzcVjc3nixFVi+fn5Ug9Bdi5eS8HGfYfw/MC+NbJ8Nq+6Wt6euJaWbvj6enoGanl7Gj2mab06CPDxwpbDx+65nL4d2uLExUQUazS4fP0G6gcFINjPByqlEg9GtUagj1eNfQ/Wgtu5eGwuHpuLx+bisbl4bC5PNlIPwNq5uLhIPQTZ+XTZajzT/0F4utZMGzavOQqFAu+MHoqJc7+752MahQThjRGPYei7nwAAsvLy8fr8H/D15Beg1+lxKOEc6tTyEzVki8XtXDw2F4/NxWNz8dhcPDaXJ05cJVZYWAh7e3uphyEbJy9dwZ7405g1bnSNrYPNqy4l/RYCfbwNXwd4eyEl/ZbhaxdHBzSuE4yVH7wOAPD1dMeiaS9j1IwvEH/+EgK8PbHg9Zfw0hffIjHlpuF5fx+Mw98H4wAATz7QDVqdTsw3ZMG4nYvH5uKxuXhsLh6bi8fm8sSJq8Q0Go3UQ5CVWUtWYvzgfnB2dKixdbB51cWdu4i6Af4I8fNBSsYtPNy5PV749GvD/Tn5BYgc/oLh6xUfvI73f/gF8ecvwc3ZCYvfegUfLv4VhxLOGS3X290V6Vk5cHd2wsg+PTD2k6+EfU+Witu5eGwuHpuLx+bisbl4bC5PnLhKjNeJ+s/B0+dw+vJVfDt1Qo2uh82rTqvT4c1vF2Ppu1OgVCqwfMtOnL2ajFeHDsSx85fw94Gj93zuqNieCA3wx8THH8bEx2+fLXrIu7OQnpWD954Zhoi6tQEAny9fi4vXUoR8P5aM27l4bC4em4vH5uKxuXhsLk+cuEosKysL3t7e5T/Qwun1enz88wpMemIA7Gv4TG5sXj1bD8dj6+EpRrfNXrq6zMc++uZMw7/nrPgNc1b8VubjSr5rS6bB7Vw8NhePzcVjc/HYXDw2lyeeVVhidnZ2Ug9BFnbGncDNW1kYHNOpxtfF5mQNuJ2Lx+bisbl4bC4em4vH5vLEiavEbGz4prder8dHP63A5CcHwUalqvH1sTlZA27n4rG5eGwuHpuLx+bisbk8ceIqMV4nCtj4zyHo9Hr0jW4jZH1sTtaA27l4bC4em4vH5uKxuXhsLk+cuErM2q8TpdXqMOvnVZg6bDCUSjGbo7U3J+vA7Vw8NhePzcVjc/HYXDw2lydOXCVWUFAg9RAktWrHHni5uSKmVTNh67T25mQduJ2Lx+bisbl4bC4em4vH5vLEiavEtFqt1EOQTJFajc+WrcHUYYOhUCiErdeam5P14HYuHpuLx+bisbl4bC4em8sTP3ksMWu+TtTSTdvRMCQQUU3ChK7XmptXRvK6xQCA1PwM7Ew6WK1laTQaoxMd7D90EfEnruLZp7pWeBldgtvC18mrWuOwJtzOxWNz8dhcPDYXj83FY3N54juuEsvKypJ6CJLILyzC3BW/YeqwwcLXba3NpXR388iIIJw9n4KiIrVEI7J83M7FY3Px2Fw8NhePzcVjc3nixFVi9vb2Ug9BEgv/2ISoiDA0rRcqfN3W2lxKdzd3crJH3Tq+OJlwTaIRWT5u5+KxuXhsLh6bi8fm4rG5PHHiKjFRZ9KVk8zcPHyz7k+8OnSQJOu3xuZSK6t588gQxB+/KsForAO3c/HYXDw2F4/NxWNz8dhcnviqSMwaz1o2f80GPNiuFRoEB0iyfmtsLrWymjdrGoLTZ65BreYJEGoCt3Px2Fw8NhePzcVjc/HYXJ44cZWYq6ur1EMQKjUzCz/9tRUTn3hYsjFYW3M5KKu5q4sDggI9kXD2ugQjsnzczsVjc/HYXDw2F4/NxWNzeeLEVWJ5eXlSD0Goub/+hkHdOiLI10eyMVhbczm4V/PmkbVx7PgVwaOxDtzOxWNz8dhcPDYXj83FY3N54sRVYnq9XuohCJN0Mw2rd+7Fi4MfknQc1tRcLu7VvHlkCE6cToZGw8OFTY3buXhsLh6bi8fm4rG5eGwuT5y4SsyaDkX4dNkajOzTAz4ebpKOw5qay8W9mnu4O8HPxw3nLtwQPCLLx+1cPDYXj83FY3Px2Fw8NpcnTlwllp2dLfUQhDh3NRlbDsdhzMN9pB6K1TSXk/s1bx4ZgmM8u7DJcTsXj83FY3Px2Fw8NhePzeWJE1eJOTg4SD0EIT5ZuhpjB8TC3cVZ6qFYTXM5uV/z5pEhiD9xFTqdTuCILB+3c/HYXDw2F4/NxWNz8dhcnjhxpRoXf/4SDp0+h1F9e0o9FJIhH29XuLs74cKlVKmHQkREREQyxYmrxAoLC6UeQo37+OeVePGxh+Boby/1UABYR3O5Ka95Cx4ubHLczsVjc/HYXDw2F4/NxWNzeeLEVWJubtKeqKim7TuRgIvXUjC0Vzeph2Jg6c3lqLzmzSNr49iJK9DpeBY/U+F2Lh6bi8fm4rG5eGwuHpvLEyeuEsvJyZF6CDVGr9fjo59W4JUhA2FnayP1cAwsublclde8lr87HOxtkXg1XdCILB+3c/HYXDw2F4/NxWNz8dhcnjhxlZhCoZB6CDVmy+FjyMnPxyNdoqUeihFLbi5XFWneIrI2jh2/ImA01oHbuXhsLh6bi8fm4rG5eGwuT5y4SszZWfqz7NYEnU6Hj39eiSlPDoZKJa/NzFKby1lFmt+5LA4v+m0a3M7FY3Px2Fw8NhePzcVjc3mS14zCClnqoQi/7z4AOxsbPBjVSuqhlGKpzeWsIs2DAj0BAEnXbtX0cKwCt3Px2Fw8NhePzcVjc/HYXJ44cZWYo6Oj1EMwObVGg1lLV2HqsMGyPNTCEpvLXUWaKxSKf9915eHCpsDtXDw2F4/NxWNz8dhcPGtpfuDAAYwcORLDhw/HsmXL7vm4nTt3okePHjhz5ozhtqVLl2L48OEYOXIkDh48KGK4nLhKTafTST0Ek1uxdTeCfL3RpUVTqYdSJktsLncVbd48sjYvi2Mi3M7FY3Px2Fw8NhePzcWzhuZarRZz587FzJkzsXDhQmzduhWXL18u9bj8/HysXr0a4eHhhtsuX76Mbdu2YcGCBfjoo48wZ84caLXaGh8zJ64SKyoqknoIJlVYXIzPflmLqcMGSz2Ue7K05uagos3rhHijsEiNlBtZNTwiy8ftXDw2F4/NxWNz8dhcPGtonpCQgKCgIAQGBsLW1hYxMTHYu3dvqcctWrQITzzxBOzs7Ay37d27FzExMbCzs0NAQACCgoKQkJBQ42PmxFVi7u7uUg/BpBZv3IrI+nXQOqyB1EO5J0trbg4q2lypVKB5U55d2BS4nYvH5uKxuXhsLh6bi2fOzYuKipCTk1Pqv7sn42lpafD19TV87evri7S0NKPHnD17FqmpqWjfvv19n+vj41PquTVBPhfXtFJZWVnw9vaWehgmkZtfgK9W/YFf3psq9VDuy5Kam4vKNG8eGYLVvx3Ggz0ja3hUlo3buXhsLh6bi8fm4rG5eObc/NSpU4iLiyt1e4sWLdCyZcsKL0en02H+/PmYMmWKCUdXPZy4SkylUkk9BJP57re/0KVFU4SHhkg9lPuypObmojLN69f1RXZ2AdLSc+Dj7VqDo7Js3M7FY3Px2Fw8NhePzcUz5+YRERFo0KD0kY8lD/UFbr9Lmpqaavg6NTUVPj4+hq/z8/Nx6dIlTJo0CQCQkZGBt956C++//36p56alpRk9t6bwUGGJWcpZyzKyc7Dgj014ZcgjUg+lXJbS3JxUprlSqURkk2CepKmauJ2Lx+bisbl4bC4em4tnzs3t7e3h6upa6j97e3ujxzVu3BjJycm4fv061Go1tm3bhg4dOhjud3FxwZo1a7B06VIsXboUEREReP/99xEWFoYOHTpg27ZtKC4uxvXr15GcnIzGjRvX+PfGd1wllpubW2pDMkf/W70e/Tq2Q2iAv9RDKZelNDcnlW3ePLI2Nmw6hh7dImpwVJaN27l4bC4em4vH5uKxuXjW0FylUmHChAmYOnUqdDod+vTpg9DQUCxatMgwOb2X0NBQdOvWDaNHjzYsR8S71Jy4SszJyUnqIVTb9fQMLPt7BzbPnSH1UCrEEpqbm8o2b1jfD6mpObiVmQ9PD75eVcHtXDw2F4/NxWNz8dhcPGtpHhUVhaioKKPbRo0aVeZjP/vsM6Ovn3zySTz55JM1Nray8FBhiWk0GqmHUG1zfv0NT/TsggBvL6mHUiGW0NzcVLa5jY0KTSOCEH+CZxeuKm7n4rG5eGwuHpuLx+bisbk8ceIqseLiYqmHUC2Xr9/AH3sO4IVB/aQeSoWZe3NzVJXmzSNrI46fc60ybufisbl4bC4em4vH5uKxuTxx4ioxc75OFAB8umwNnu73ALzczOfsr+be3BxVpXnjRgG4du0WsnMKamBElo/buXhsLh6bi8fm4rG5eGwuT8ImrgcOHMDIkSMxfPhwLFu2rNT9N27cwKRJkzBmzBg888wz2L9/v6ihSSorK0vqIVTZ6ctXsTPuBJ596EGph1Ip5tzcXFWlua2tCuFhgTh+MqkGRmT5uJ2Lx+bisbl4bC4em4vH5vIkZOKq1Woxd+5czJw5EwsXLsTWrVtx+fJlo8csWbIE3bp1wzfffIM333wTc+bMETE0ydnYmO/5sT5ZugovDOoHFyfzOmW4OTc3V1Vt3jwyhJfFqSJu5+KxuXhsLh6bi8fm4rG5PAmZuCYkJCAoKAiBgYGwtbVFTEwM9u7dW+pxeXl5hv/19vYWMTTJOTg4SD2EKjl85jziz1/GiD7dpR5KpZlrc3NW1eYRjQNx+Uoa8vOLTDwiy8ftXDw2F4/NxWNz8dhcPDaXJyET17S0NPj6+hq+9vX1RVpamtFjRo4ciS1btuDxxx/HG2+8gQkTJpS5rKKiIuTk5JT6r6jIPH+xzc3NlXoIVfLxzysx6YkBcLCzk3oolWauzc1ZVZvb29uiUX1/HD+VbOIRWT5u5+KxuXhsLh6bi8fm4rG5PMnmffCtW7figQcewGOPPYaTJ09i5syZWLBgAZRK47n1qVOnEBcXV+r5jRo1go+PDwICApCeno7i4mLUqVMHiYmJcHNzg42NDTIyMhAUFIQbN25Ap9MhKCgIV69ehYeHBwAgMzMTISEhSE5OhlKphL+/P5KTk+Hl5QWNRoPs7GzDMu3s7GDv5YT09HQ4OTlBo9GguLgY7u7uyMrKgo2NDRwcHJCbmwsnJyeo1Wqo1WrD/ba2trC1tUVhYSGKiopQWFgIjUZjuN/Ozg42NjbIz8+Hi4sLCgoKoNVqDffb29tDqVSioKAA6lpqXLhwwSTfk7e3N65fvw4fHx8UFhYiNzfXcL+DgwM8PDywYdc+JN1IRXSjUJw5c8Zwv5OTE5ydnZGamopatWohMzMThYWFhvtdXFzg4OCAtLS0Kr9ORbYapKenw83NDTk5OVAoFHB2dkZOTg4cHR2h0+lQVFRk6KRSqeDo6Gh4HTQajaF1ZV6nO6/DnedqA7Q4c+aMSb6nmnqdUlJS4Ovri7y8POTn51f5dcotzEV6enqZ256rqyvy8vKg1+vh6uqK7Oxsw18pCwsLDa9TcXExiouLK/U63fl5ql/XC4eOXERx32KcOXPGJN+T3F+nrOwsZGdnl7ntVXQfodPpkJ+fX6nX6e6fp4KCApy5ekaybU/k65SVn4WCgoIq78vz8/OhUqmQlZVV5X25q6srcnJykJmcblb7iKq+Tjn6fKjV6irvy4uLi2FnZ4f09PQq78vd3d2RlZ2F4lsFZrWPqOrrpHWE4f//qrIvVygUsLGxQXp6eqX35SV/nrKys6AqhFntI6r6Otl7OaGgoKDK+3J7e3sAQHp6epX35TqdDlnZWXBVOpnVPqKqr5Oz33+/e1RlX+7i4gKNRmP0u09l9+V5eXnIdsuGMxyEb3thYWGVmYKZFYVer9fX9EpOnjyJxYsX4+OPPwYALF26FAAwdOhQw2NGjx6Njz76CH5+fgCAYcOG4csvv4Snp6fRsoqKiso8RbWdnZ3hh1uU1PwM7Ew6WK1lZGdnw83NrVrL6BLcFr5OYq6hqtfr0X/ydDz7UG883KW9kHWWZI3NpSZ18/yCYrwzYw22fv0BQr0DqzUOcyF18zu4nVcOm1cOm4vH5uKxuXhsbrmEvOPauHFjJCcnG/5isG3bNkybNs3oMX5+fjhy5Ah69+6NxMREFBcXG/46UZK9vb3wCWpNUqvVUg+hUv7afwRFGg36d2on9VCqzNyaW4LqNHdytEO9UF/sOnoKoT2tY+JqCtzOxWNz8dhcPDYXj83FY3PT2717N06fPo38/Hyj21966aUKL0PIxFWlUmHChAmYOnUqdDod+vTpg9DQUCxatAhhYWHo0KEDxo4di88++wyrVq2CQqHAlClToFAoRAxPUuZ0nSitVodZS1bijZGPlzqE25yYU3NLUd3mzSNrY/OBYxjes6eJRmT5uJ2Lx+bisbl4bC4em4vH5qb13nvvYePGjYiKioKjY9WvRiLsM65RUVGIiooyum3UqFGGf4eGhmLu3LmihiMbWVlZZnMG5TU798HVyQk9WjeXeijVYk7NLUV1m0c2CcbM9etRUFQMR3vzOyGYFLidi8fm4rG5eGwuHpuLx+am9ccff2DdunUICAio1nLM920zC2Frayv1ECqkWK3Bp8tW4/URj5r9O+Hm0tySVLe5q4sDwuuGYMfR4yYakeXjdi4em4vH5uKxuXhsLh6bm5anpydcXV2rvRzZnFXYWpnLD8ayzTtQL7AW2jdpLPVQqs1cmlsSUzTvEdUM6/cdRO/2rU0wIsvH7Vw8NhePzcVjc/HYXDw2r76rV68a/j1q1Ci8+uqrGDNmDHx8fIweFxISUuFlcuIqsfz8/God6y1CQVER5v76GxZNe1nqoZiEOTS3NKZo3r1NM8xf8SeK1RrY2XLXVR5u5+KxuXhsLh6bi8fm4rF59fXq1QsKhQIlL2Czfft2o8coFAqcPn26wsvkb38Sc3FxkXoI5Vq0fjNaN26AZg3qSj0UkzCH5pbGFM39vNzRIDgQu+NPoruZf85aBG7n4rG5eGwuHpuLx+bisXn1JSQkmHyZ/IyrxAoLC6Uewn1l5ebh6zUbMHnoQKmHYjJyb26JTNU8tkMbbNh7yCTLsnTczsVjc/HYXDw2F4/NxWNz0/rggw/KvH3GjBmVWg4nrhLTaDRSD+G+vlm3ET3btEDDkCCph2Iycm9uiUzVvE/7NvjrwBFotFqTLM+ScTsXj83FY3Px2Fw8NhePzU1r9erVZd7+22+/VWo5PFRYYnK+TlRaZjZ+3LgFf332vtRDMSk5N7dUpmpe298XQb7e+OfkGXRqFmGSZVoqbufisbl4bC4em4vH5uKxuWmsXLkSAKDVag3/vuPq1avw8PCo1PI4cZWYnK8TNXflbxjYpQOC/XzKf7AZkXNzS2XK5rHRbbBx3yFOXMvB7Vw8NhePzcVjc/HYXDw2N41169YBANRqteHfwO2TMvn4+ODjjz+u1PI4cZWYnZ2d1EMoU3JqGlZt34Pt8z6SeigmJ9fmlsyUzWOj2+Lxtz7C+88Og1LJTzvcC7dz8dhcPDYXj83FY3Px2Nw0fvrpJwDA559/jokTJ1Z7eZy4SszGRp4vwee/rMPwB7vD18PyDpWQa3NLZsrmDYID4O7ihMNnLqBteEOTLdfScDsXj83FY3Px2Fw8NhePzU3rzqQ1PT0d+fn5RvfxOq5mRI7XiTqfdB1/HTiCXV/PknooNUKOzS2dqZvHRrfFhn0HOXG9D27n4rG5eGwuHpuLx+bisblp7dq1C2+88QZSU1ONbq/sdVx5nJ3E5HidqNlLV+G5h3vDw8VZ6qHUCDk2t3Smbh7boQ027DtkdFFrMsbtXDw2F4/NxWNz8dhcPDY3renTp2PcuHGIi4tDQkKC4b/KTFoBTlwlV1BQIPUQjJy4eBkHTp3F0/0ekHooNUZuza2BqZuH1wmBjUqF4xcum3S5loTbuXhsLh6bi8fm4rG5eGxuWtnZ2XjiiSfg4OBQreVw4ioxrcyuR/nxzysx4dH+cHKwl3ooNUZuza2BqZsrFArERrfB+n2HTLpcS8LtXDw2F4/NxWNz8dhcPDY3rUGDBmHVqlXVXg4/4yoxOV0nav/JMzh39Rq+f/0lqYdSo+TU3FrURPPY6DZ48fNv8NqwwVAoFCZfvrnjdi4em4vH5uKxuXhsLh6bm9axY8fw008/4bvvvoOPj/FlNpcsWVLh5XDiKjG5XCdKr9fjo59XYNKQR2Bvayv1cGqUXJpbk5po3qJhPRQWF+PMlWQ0rhNs0mVbAm7n4rG5eGwuHpuLx+bisblpPfroo3j00UervRxOXCVmby+PQ3K3HYnHrexcDOraUeqh1Di5NLcmNdFcoVCgT3QbbNx3iBPXMnA7F4/NxWNz8dhcPDYXj81N65FHHjHJcvgZV4kpldK/BDqdDh//vBKTnxwElUr68dQ0OTS3NjXVvG90W6zfd7BGlm3uuJ2Lx+bisbl4bC4em4vH5qa3atUqjBgxAg8++CBGjBhRpc+88h1XiRUUFMDJyUnSMazfdwjKf092Yw3k0Nza1FTzNo0bIi0zG5eu30DdAH+TL9+ccTsXj83FY3Px2Fw8NhePzU3r66+/xtq1azF69GgEBgbi2rVr+P7773Hz5k08//zzFV4OJ64Sc3V1lXT9Gq0WnyxZhfefHWY1J7iRurk1qqnmKpUSvdu3xoa9B/HCoH41sg5zxe1cPDYXj83FY3Px2Fw8NjetFStW4KeffkJQUJDhtk6dOmHYsGGVmrjyfXCJ5eXlSbr+ldt2w8/THV1aNJV0HCJJ3dwa1WTz2Og22MDL4pTC7Vw8NhePzcVjc/HYXDw2N62CggJ4eXkZ3ebh4YHCwsJKLYcTV4np9XrJ1l2kVuOzX9Zi6rBHrebdVkDa5taqJptHN22MxJSbSE5Nq7F1mCNu5+KxuXhsLh6bi8fm4rG5aXXu3BmvvvoqLl68iMLCQly4cAGvvfYaOnXqVKnlcOIqMSkPRfjpz60IDw1B2/CGko1BCjz8Q7yabG5rY4NebVvyXde7cDsXj83FY3Px2Fw8NhePzU3r7bffhrOzMx566CG0bNkSAwYMgKOjI956661KLYcTV4llZ2dLst68gkLMW/kHpjw5WJL1S0mq5tasppvHduDhwnfjdi4em4vH5uKxuXhsLh6bm5aLiwtmzZqF+Ph47N69G8eOHcOsWbPg5uZWqeXw5EwSc3BwkGS93/++CR2bhaNJ3dqSrF9KUjW3ZjXdvEuLpnjx829w81Ym/Dw9anRd5oLbuXhsLh6bi8fm4rG5eGxuegUFBUhMTER+fj4SExMNt7dq1arCy+DE1QrdysnFd7/9id9mvS31UIhMwt7WFt1bN8Of/xzBiD7dpR4OEREREf1r7dq1eO+992Bra2v0RwGFQoHt27dXeDmcuEqssLAQzs7OQtf59er1iI1ug3qBtYSuVy6kaG7tRDSPjW6Ln/7cyonrv7idi8fm4rG5eGwuHpuLx+am9cknn+DLL79Ex44dq7UcfsZVYpU9tru6bmRkYsnf2/Hy4wOErldORDcnMc1jWjVD3LmLyMjOqfF1mQNu5+KxuXhsLh6bi8fm4rG5adna2qJdu3bVXg4nrhLLyRH7S/acX9fhse6dEejjVf6DLZTo5iSmuZODPTo3b4K/Dxyt8XWZA27n4rG5eGwuHpuLx+bisblpvfTSS/joo4+QkZFRreVw4ioxkddPTUy5iXW7/8H4Qf2ErVOOrOmatXIhqnlsdBus33dQyLrkjtu5eGwuHpuLx+bisbl4bG5aoaGh2Lp1Kzp27Ijw8HCEh4ejcePGCA8Pr9Ry+BlXiYk8fv6zX9ZgdN9e8Ha37sMf+JkF8UQ179GmBV77+gfk5BfA1clRyDrlitu5eGwuHpuLx+bisbl4bG5aU6ZMwcMPP4zY2NhqnbGZ77hKTNShCGeuJGHbkXg893AfIeuTMx7+IZ6o5m7OTmgXEYbNB3m4MLdz8dhcPDYXj83FY3Px2Ny0MjMz8dJLL6FRo0aoXbu20X+VwYmrxBwdxbwr9MmSVRj3SF+rfxcKENec/iOyed8ObbBh3yFh65Mrbufisbl4bC4em4vH5uKxuWkNHDgQ69atq/ZyeKiwxHQ6XY2vI+7cRRw9dxFfTnq+xtdlDkQ0J2Mimz/QrhXeXbAU+YVFcHKwF7ZeueF2Lh6bi8fm4rG5eGwuHpubVnx8PJYsWYKvv/4aPj4+RvctWbKkwsvhxFViRUVFcHFxqdF1fPTTCrz82MNwtLer0fWYCxHNyZjI5l5urmjeoC62H41HbHRbIeuUI27n4rG5eGwuHpuLx+bisblpPfbYY3jssceqvRxOXCXm7u5eo8vfHX8KV2+k4omeXWp0PeakpptTaaKbx3Zoiw17D1n1xJXbuXhsLh6bi8fm4rG5eGxuWo888ki5j3n33Xfx7rvv3vcx/IyrxLKysmps2Xq9Hh//vAKvDh0IWxv+jeKOmmxOZRPdvE/71th6+BiK1Gqh65UTbufisbl4bC4em4vH5uKxuXi//fZbuY/hxFViKpWqxpb994GjKCgsxsOd29fYOsxRTTansolu7ufpgbA6wdh17KTQ9coJt3Px2Fw8NhePzcVjc/HYXDy9Xl/uYzhxlVhNnbVMp9Ph4yUrMeXJQVAq+TKXxDPFiSdF89joNtiw96Dw9coFt3Px2Fw8NhePzcVjc/HYXDyFQlHuYzijkVhubm6NLHfdrn/g5GCPXu1a1sjyzVlNNad7k6J5n/ZtsOnAUag1GuHrlgNu5+KxuXhsLh6bi8fm4rG5PHHiKjEnJyeTL1Ot0WD20tV4bdijFfrrhbWpieZ0f1I0D/bzQW1/X+w7kSB83XLA7Vw8NhePzcVjc/HYXDw2F4+HCpsBTQ28G/TL5p0I8fdFx2YRJl+2JaiJ5nR/UjWPjW6DDfsOSbJuqXE7F4/NxWNz8dhcPDYXj81N69ixY2XeHh8fb/j3Qw89VO5yOHGVWHFxsUmXV1BUjC9+XYfXhj9q0uVaElM3p/JJ1Ty2Q1v8tf8wtFrru5A4t3Px2Fw8NhePzcVjc/HY3LRGjRpV5u3PPPOM4d/Tp08vdzm8RorETH2dqB83bEbLhvXQomE9ky7XkvDaXOJJ1bxeYC14u7nh8JlzaBcRJskYpMLtXDw2F4/NxWNz8dhcPGtpfuDAAXz11VfQ6XSIjY3FkCFDjO7//fffsW7dOiiVSjg6OmLixIkIDQ1FSkoKRo0ahZCQEABAeHg4Jk6cWGr5Op0Oer3e6L87rly5UumzN3PiKrGsrCx4e3ubZFk5+QX435r1WPnBGyZZnqUyZXOqGCmbx3Zog/V7D1ndxJXbuXhsLh6bi8fm4rG5eNbQXKvVYu7cuZg1axZ8fX0xbtw4REdHIzQ01PCY7t27o3///gCAvXv3Yv78+fjoo48AAIGBgfj222/vu46IiAjD+XYiIow/wqhUKjF27NhKjZkTV4nZ2JjuJfhm7UbEtGqGRrWDTLZMS2TK5lQxUjaPjW6LEe9/inefHmpVJyvjdi4em4vH5uKxuXhsLp45Ny8qKirzUGc7OzvY29sbvk5ISEBQUBACAwMBADExMdi7d6/RxNXZ2dnw78LCwkqPZcuWLdDr9Rg+fDh+/vlnw+0KhQJeXl5wcHCo1PLM91WxEJV9we4lPSsbizb8jY2fvmeS5VkyUzWnipOyeVjtINjb2uLY+UtWdQg9t3Px2Fw8NhePzcVjc/HMufmpU6cQFxdX6vYWLVqgZcv/LpOZlpYGX19fw9e+vr44ffp0qeetXbsWK1euhEajwezZsw23p6SkYMyYMXBycsKoUaPQrFmzUs8NCrr9Ztq2bduq8y0ZcOIqsdzcXKO/flTVvFV/YEDnaNT29y3/wVbOVM2p4qRsrlAoENuhLTbsPWhVE1du5+KxuXhsLh6bi8fm4plz84iICDRo0KDU7XZ2dlVa3oABAzBgwABs2bIFP//8M1577TV4eXlh6dKlcHd3x9mzZ/H2229jwYIFRu/QlpSZmYmFCxfi9OnTyM/PN7pvyZIlFR4LJ64SM8V1olLSb+HXrbuwde5ME4zI8vHaXOJJ3Ty2fWuM+/RrvD7iMas5XFjq5taIzcVjc/HYXDw2F8+cm9vb21do0u3j44PU1FTD16mpqfDx8bnn42NiYjBnzhwAtyfBdybCjRo1QmBgIJKSkhAWVvb5RF555RUUFxejT58+cHR0rMy3Y4QTV4mp1epqvYAA8O3qTXiyVzf4e3mYZlAWzhTNqXKkbt6sQV1otFqcTryKiNDako1DJKmbWyM2F4/NxWNz8dhcPGto3rhxYyQnJ+P69evw8fHBtm3bMG3aNKPHJCUlITg4GADwzz//GA79zczMhKurK1QqFa5du4akpCQEBATcc11Hjx7FP//8U+V3fe/gxFViarW6Ws+/mZqNrQfisXv+JyYakeWrbnOqPKmbKxQK9GnfGhv2HrKqiSuJxebisbl4bC4em4tnDc1VKhUmTJiAqVOnQqfToU+fPggNDcWiRYsQFhaGDh06YO3atThy5AhsbGzg4uKCqVOnAgDi4+Pxww8/wMbGBgqFAi+//DLc3Nzuua6wsDCkpKSgdu3q/Q7GiavEqnudqA2b4vFkbFd4urqYaESWz1quzSUncmjet0NbvPb1D3h16ECphyKEHJpbGzYXj83FY3Px2Fw8a2keFRWFqKgoo9tGjRpl+Pf48ePLfF6XLl3QpUuXCq+nffv2eOaZZzBw4MBShyMPHjy4wstRVviRVCOysrKq/Nzka7dw7vwNPNmnqwlHZPmq05yqRg7NW4c1wK3sXFxIvi71UISQQ3Nrw+bisbl4bC4em4vH5qZ16NAh+Pv7Y8+ePVi3bp3hv99++61Sy+E7rhKztbWt8nP/+PMYHujRBE4O5nnWM6lUpzlVjRyaK5VK9G7fGhv2HcKEwf2lHk6Nk0Nza8Pm4rG5eGwuHpuLx+am9dNPP5lkOXzHVWJV/cG4eOkmrl2/hQ7tG5p4RJaPOyPx5NL8zmVxrIFcmlsTNhePzcVjc/HYXDw2N63du3fj0qVLRrddunQJe/bsqdRyhE1cDxw4gJEjR2L48OFYtmxZmY/Zvn07Ro0ahdGjR2PGjBmihiapu69lVBF6vR6//3kMvXs1g62NqgZGZdmq0pyqRy7N2zcJQ1JqOq7eSC3/wWZOLs2tCZuLx+bisbl4bC4em5vWe++9V+oar05OTnjvvfcqtZwKT1wXLFhQ5u2LFi0q97larRZz587FzJkzsXDhQmzduhWXL182ekxSUhKWLVuGuXPnYuHChRg3blxFh2bWXFwqf1KlhLMpyMkpRLvWdWtgRJavKs2peuTS3EalwgPtWmLDP4ekHkqNk0tza8Lm4rG5eGwuHpuLx+amlZ6eDj8/P6Pb/Pz8jK4jWxEVnrh+9dVXZd7+9ddfl/vchIQEBAUFITAwELa2toiJicHevXuNHrN+/Xo89NBDcHV1BQB4enpWdGhmrbCwsFKP1+v1+OPPOPR9sBlUKh7pXRWVbU7VJ6fmsdFtsWGv5U9c5dTcWrC5eGwuHpuLx+bisblphYSEYN++fUa37d+/33CN2Ioq9+RMd1ai0+nwzz//QK/XG+5LSkoq9bZvWdLS0uDr62v42tfXF6dPnzZ6TFJSEgDgxRdfhE6nw4gRI9CuXbtSyyoqKkJxcXGp2+3s7GBvb34nKdJoNJV6/LHjV6HX69E80jquRVkTKtucqk9OzTs1j8CEz75GSvot1PK23D+Qyam5tWBz8dhcPDYXj83FY3PTGj9+PCZMmIDBgwcjJCQEV69exerVq/Hhhx9WajnlTlynTZsG4PaE8Y033jDcrlAo4OvrizfffLOSQy+bVqtFcnIyPvvsM6SmpmLixIn4/vvvS71Vf+rUKcTFxZV6fqNGjeDj44OAgACkp6ejuLgYderUQWJiItzc3GBjY4OMjAwEBQXhxo0b0Ol0CAoKwtWrV+Hh4QEAyMzMREhICJKTk6FUKuHv74/k5GR4eXlBo9EgOzvbsEw7OzvYezkhPT0dTk5O0Gg0KC4uhru7O7KysmBjYwMHBwfk5ubCyckJarUaarXacL+trS1sbW2h0WhQVFSEwsJCaDQaw/12dnawsbFBfn4+XFxcUFBQALVagz/+jEOvmEbIz8+DUqm8fXstNS5cuGCS78nb2xvXr1+Hj48PCgsLkZuba7jfwcEBHh4eSElJga+vL/Ly8pCfn2+438nJCc7OzkhNTUWtWrWQmZmJwsJCw/0uLi5wcHBAWlpalV+nIlsN0tPT4ebmhpycHCgUCjg7OyMnJweOjo7Q6XQoKioydFSpVHB0dDS8DhqNxvBfZV6nO6/DnddJG6DFmTNnTPI9yf11yi3MRXp6uqGJvb29YdtzdXVFXl4e9Ho9XF1dkZ2dDQcHBwC3/1p553XS6XQoLi6u1Ot0989TsX8xzpw5Y5LvKapxA/z42wa8NGSQLF+nrOwsZGdnl7nt3W8fodVqjZrm5+dX6nW6++epoKAAZ66eMat9RFVfp6z8LBQUFFR5X56fnw8HBwdkZWVV6nW6++cpJycHmcnpZrWPqOrrlKPPh1qtrvK+vLi4GM7OzkhPT6/yvtzd3R1Z2VkovlVg8fvy9PR0aB1h+P+/quzLFQoFHB0dkZ6eXuV9uYODA7Kys6AqhFntI6r6Otl7OaGgoKDK+3J7e3vY2toiPT29yvtynU6HrOwsuCqdzGofUdXXydnvdoeq7svvzD1K/u5T2X15Xl4est2y4QwH4dteWFhYZaZgQvTs2RMLFy7EypUrsWPHDtSqVQvff/89mjVrVqnlKPQl30K9jylTpmDWrFlVGuzJkyexePFifPzxxwCApUuXAgCGDh1qeMznn3+O8PBw9O7dGwDw6quv4plnnkHjxo2NliWnd1xT8zOwM6l6ZyhNT0+Ht7d3hR67/+AF/HPwAl58vhcUCoXh9i7BbeHr5FWtcZgL0c3vhc0rR27NN+47hEUbNuPX918zyfJMzRKbyx2bi8fm4rG5eGwuHpubp+eeew7ffvvtfR9T4Q9Jlpy06nQ6o//K07hxYyQnJ+P69etQq9XYtm0bOnToYPSYjh07Gt5JzcrKQlJSEgICAkoty97eHq6urqX+M8fDhIHbE+6KUGu02Pj3cfTr08Jo0kqVV9HmZDpya96tVSTiz19CRnaO1EOpMXJrbg3YXDw2F4/NxWNz8dhcvEOHyj//SLmHCt9x8uRJvPfeezhz5gyKiooA3D5RkEKhKPV51bupVCpMmDABU6dOhU6nQ58+fRAaGopFixYhLCwMHTp0QNu2bXHo0CGMGjUKKpUKzz33HNzd3Ss6PLNlY1Oxl2Df/vOo5e+O+nX9yn8w3VdFm5PpyK25o709urRoir/2H8GQXl2lHk6NkFtza8Dm4rG5eGwuHpuLx+byVOFX5bXXXkNMTAw+/PBDw/H0lREVFYWoqCij20aNGmX4t0KhsJpL4JSUn58PR0fH+z6mqFiDTVtOYMzTMYJGZdkq0pxMS47N+0a3xcrtuy124irH5paOzcVjc/HYXDw2F4/N5anCE9fk5GRMnDiRh6maWEWuE7VjdwLq1/NDSBCPkzcFXptLPDk279GmOab8byGycvPg7lL+2dHNjRybWzo2F4/NxWNz8dhcPDaXpwp/xrVXr17YvXt3TY7FKhUUFNz3/vz8ImzbmYC+DzYXNCLLV15zMj05NndxckT7po2x+VCc1EOpEXJsbunYXDw2F4/NxWNz8dhcvIqcL7jC77gWFRVh/PjxaN26NXx8fIzuq+rZhun2ZYDuZ8uO04hsEgw/XzdBI7J85TUn05Nr89jottiw9xAGdeso9VBMTq7NLRmbi8fm4rG5eGwuHpuLN3bs2HIfU+GJa4MGDdCgQYNqDYhKu98JqLKzC7Dnn3OY8nKswBFZPms46ZfcyLX5A+1a4u3vfkJeQSGcHSv/2X05k2tzS8bm4rG5eGwuHpuLx+ampdFo8Mcff+D06dPIz883uu/9998HAIwZM6bc5VR44jp+/PhKDpEqIisr657Xidq09STata4HL0/L+/ydlO7XnGqGXJt7urqgVVgDbDsSj34d20k9HJOSa3NLxubisbl4bC4em4vH5qY1efJknD17Fl26dKlW1wpPXPft23fP+6Kjo6s8AGt3r+vPpmfk4tDRS5g2ub/gEVk+c73mrzmTc/PY6DbYsO+QxU1c5dzcUrG5eGwuHpuLx+bisblp7dq1C9u3b6/2Sa8qPHGdNm2a0de3bt2CWq2Gv78/tmzZUq1BWDOlsuzzY/3593F0jm4EVxfLOnxRDu7VnGqOnJv3bt8aHy7+FYXFxXCwoAuOy7m5pWJz8dhcPDYXj83FY3PTatCgAbKyssRNXLdu3Wr0tVarxddffw1nZx7GWh0FBQVwcnIyui3lRhZOnk7GW1MfkmhUlq2s5lSz5Nzc18MdEaEh2Bl3Eg+0ayn1cExGzs0tFZuLx+bisbl4bC4em5vWJ598gjfffBMdO3YsdZLfAQMGVHg5FZ643k2lUmHs2LHo2rUrRo0aVdXFWD1XV9dSt63/6xi6dw2Ho6PlvPsjJ2U1p5ol9+ax0W2xYd9Bi5q4yr25JWJz8dhcPDYXj83FY3PTWr16NQ4dOoSsrCw4OPx3NKlCoRAzcQWAPXv2QKFQVGcRVi8vLw92JQ5PvHI1HZcT0zD8iQ4Sjsqy3d2cap7cm/du3xqfLV8DtUYDW5tq7RZlQ+7NLRGbi8fm4rG5eGwuHpub1uLFi7F27VrUr1+/Wsup8G9oXbt2NZqkFhQUoLi4GO+88061BmDt7r7Y7h9/HsMDPZrCzs4yfnmWo4pc4JhMS+7Ng3y9UbeWP/YeP42uLSOlHo5JyL25JWJz8dhcPDYXj83FY3PT8vHxQUBAQLWXU+HZ0SeffGL0taOjI+rWrVvtD9lau5KHIpy7cAOpaTmIble9v0bQ/fHwD/HMoXlsh7ZYv++QxUxczaG5pWFz8dhcPDYXj83FY3PTGjlyJCZPnoxnn3221OVwQkJCKrycCk9c27W7fakInU6HtLQ0+Pj48IxbJpCdnQ1vb2/o9Xr8sTEOfR6IhI2NSuphWbQ7zUkcc2geG90GD099HzPHjIRKZf77NnNobmnYXDw2F4/NxWNz8djctN577z0AKHUlGoVCgdOnT1d4ORWeuObm5uK9997Dhg0boNFoYGNjg759++LNN9/kXyWq4c4HlE+eTkZhoRptWoZKOyArUPJD4SSGOTQPDfCHn5cHDiacRfsmjaUeTrWZQ3NLw+bisbl4bC4em4vH5qaVkJBgkuVU+G2FDz74AAUFBfj9998RHx+P33//HQUFBfjggw9MMhBrptPp8cefx9C3d3O+i00kodjoNtiw95DUwyAiIiKyONevX0dcXFyVn1/hd1x37dqFzZs3w9HREQBQt25dzJw5E7169aryys1V0MMjamS53/+4s4rPXAIASF632HSDsWCFhYW8/rBg5tK8b3RbDH33E7z79FCz/yOSuTS3JGwuHpuLx+bisbl4bG5a165dw6RJk5CQkACFQoGjR4/izz//xK5duzBjxowKL6fCv5nZ29sjIyPD6LZbt27xVNFkdtzc3KQegtUxl+aNagfB2dEececuST2UajOX5paEzcVjc/HYXDw2F4/NTevtt99Gt27dcOTIEdj8e9nBjh07Yu/evZVaToUnroMHD8bo0aOxbNky7NixA8uWLcPTTz+NRx99tHIjJ5JYTk6O1EOwOubUPDa6LTbsOyj1MKrNnJpbCjYXj83FY3Px2Fw8Njet48eP47nnnoNSqTRcXtXV1bXSnSt8qPDzzz8Pf39//P7777h58yb8/PzwzDPPcOJKZqfk9YhJDHNqHhvdBmNmzcO0kY+b1bjvZs5jN1dsLh6bi8fm4rG5eGxuWt7e3khMTETdunUNt50/f77S13at8DuuM2bMQN26dfHDDz9gw4YN+OGHH1C/fv1KHZdMJAf8zIJ45tS8ab060Ol0OHnpitRDqRZzam4p2Fw8NhePzcVjc/HY3LRGjx6NsWPHYtWqVdBoNPjjjz8wceJEPPvss5VaToUnrn/88QeaNm1qdFvTpk3xxx9/VGqFlqxby0js/N/H2D3/E7wwqF+p+4f3jsHmOTOw6fP3sWbmm2gYEggA6Ny8CTZ+Oh2b58zAxk+no2NkuOE5U4cNxsEFn+PsL98K+z4sHQ//EM+cmisUCsR2MP/Dhc2puaVgc/HYXDw2F4/NxWNz0xo8eDAmT56MP//8EwEBAVi7di1eeuklPPTQQ5VaToUPFVYoFNDpdEa3abXaUrdZK6VSgRljRmDIO7NwPT0DG2ZPx6YDR3Du6jXDY9bs2Ief/twGAOjVriXeGT0Uw6bPRkZ2Lp6a8TluZGQirHYQlrw7GW1GvwwA+PvAUSxa/zd2f/2JFN+WRbpzZmwSx9yax0a3watfLsCUJwdLPZQqM7fmloDNxWNz8dhcPDYXj81N69ixY+jZsyd69uxpdHt8fDyaNWtW4eVU+B3XNm3aYM6cOYaJqk6nw5dffok2bdpUeGWWrGXD+ricchNXbqRCrdFi3a5/8GC7VkaPyS0oNPzbyd4eer0eAHDyUiJuZGQCAM5cSYaDnR3s/j3j1pGzF3DzVpaYb8JK8I8t4plb81aN6iMnvwDnriZLPZQqM7fmloDNxWNz8dhcPDYXj81Na9SoUWXe/swzz1RqORV+x3XatGkYM2YMOnXqhMDAQFy/fh2+vr6YP39+pVZoqWp5e+JaWrrh6+vpGWjZqH6px42M7YHnHuoNO1sbPPbmR6Xu79uhLU5cTESxRlOj47VmRUVFcHFxkXoYVsXcmiuVSvSJbo0N+w7jpZAgqYdTJebW3BKwuXhsLh6bi8fm4rG5aeh0Ouj1eqP/7rhy5QpUKlWlllfhiWutWrWwZs0axMfH4/r16wgICECzZs2gVFb4TVsC8OOGLfhxwxYM6BKNlx57GC/P+e+zq41CgvDGiMcw9F0eFlyT3N3dpR6C1THH5rHRbTF94VK89FjlPn8hF+bY3NyxuXhsLh6bi8fm4rG5aURERBjO0BwREWF0n1KpxNixYyu1vApPXO+soEWLFmjRokWlVmINUtJvIdDH2/B1gLcXUtJv3fPx63b9g5ljR5Z4vCcWvP4SXvriWySm3KzRsVq7rKwseHt7l/9AMhlzbB4VEYbr6RlITLmJOrX8pB5OpZljc3PH5uKxuXhsLh6bi8fmprFlyxbo9XoMHz4cP//8s+F2hUIBLy8vODg4VGp5fLvUROLOXUTdAH+E+PnA1kaFhzu3x6YDR40eUzfA3/Dvnm2a49L1GwAAN2cnLH7rFXy4+FccSjgndNzWqLKHJVD1mWNzlUqJ3lGtsXHfIamHUiXm2Nzcsbl4bC4em4vH5uKxuWkEBQUhODgY27ZtQ1BQkOG/wMDASk9agUq+40r3ptXp8Oa3i7H03SlQKhVYvmUnzl5NxqtDB+LY+Uv4+8BRPNW3Jzo3bwKNRousvDy8/MXtw4RHxfZEaIA/Jj7+MCY+/jAAYMi7s5CelYNpIx/HI12i4Whvh0MLvsDSv3fgs1/WSPmtmj2eKU48c23eJ7oNPvtlDcY+Eiv1UCrNXJubMzYXj83FY3Px2Fw8Nq++t956C++//z4AYMqUKfd83KxZsyq8TE5cTWjr4XhsPWz8wsxeutrw73e+X1Lm8+as+A1zVvxW5n0zflyOGT8uN90gCbm5ubC3t5d6GFbFXJt3jIzA+E+/xrW0DAT6eEk9nEox1+bmjM3FY3Px2Fw8NhePzasvODjY8O/atWubZJmcuJLVcXJyknoIVsdcm9vZ2qBHmxb4859DGN3vAamHUynm2tycsbl4bC4em4vH5uKxefWNGTPG8O/x48ebZJn8jCtZHQ0vNSScOTfv26ENNuw7LPUwKs2cm5srNhePzcVjc/HYXDw2lydOXMnqFBcXSz0Eq2POzbu0iMTJS4lIz8qWeiiVYs7NzRWbi8fm4rG5eGwuHpvLEyeuZHV4bS7xzLm5o70durZoij/3m9e7rubc3FyxuXhsLh6bi8fm4rG5PHHiSlYnKytL6iFYHXNvHtuhLTbsNa/L4ph7c3PE5uKxuXhsLh6bi8fm8sSJK1kdGxuek0w0c2/eo3VzHEo4h8zcPKmHUmHm3twcsbl4bC4em4vH5uKxuWnp9Xr8+uuvGDFiBPr37w8AOHjwIDZs2FCp5fBVqYLkdYsBAKn5GdiZdLBayyoqKqr26ba7BLeFr5N5XapDSlW54DFVj7k3d3Z0QIfIcPx94Cge7d5J6uFUiLk3N0dsLh6bi8fm4rG5eGxuWnPmzMHevXsxcuRIvPPOOwCAWrVqYebMmYiNja3wcviOq8Ryc3OlHoLVYXPxLKF5bHRbbNhXvT9UiWQJzc0Nm4vH5uKxuXhsLh6bm9aaNWswf/589O3bFwqFAsDt67xevXq1UsvhxFVivE6UeGwuniU079WuJfYeP43c/AKph1IhltDc3LC5eGwuHpuLx+bisblpabVaODs7A4Bh4pqXl1fpzpy4SkytVks9BKvD5uJZQnMPF2e0adwQWw4fk3ooFWIJzc0Nm4vH5uKxuXhsLh6bm1bXrl0xc+ZMw2WG9Ho95syZg5iYmEothxNXifEHQzw2F89Smsd2aION+8zj7MKW0tycsLl4bC4em4vH5uKxuWm9/vrrSE1NRevWrZGTk4OWLVvi2rVrePXVVyu1HJ6cSWK8TpR4bC6epTTvHdUaH/ywHAVFxXC0t5N6OPdlKc3NCZuLx+bisbl4bC4em5uWi4sLvvrqK6SlpeHatWsICAiAr69vpZfDd1wlxutEicfm4llKc293NzSpWwc7445LPZRyWUpzc8Lm4rG5eGwuHpuLx+ampdPpoNPp4OXlhaZNm8Lb2xs6na7Sy+E7rhKztbWVeghWh83Fs6TmfTu0wfq9h/BgVGuph3JfltTcXLC5eGwuHpuLx+biWUvzAwcO4KuvvoJOp0NsbCyGDBlidP/vv/+OdevWQalUwtHRERMnTkRoaCgAYOnSpdi4cSOUSiXGjx+Ptm3b3nM9ERERhpMylaRSqeDn54cHHngAEyZMMJzA6V44cZWYtfxgyAmbi2dJzXu3b43ZS1ejWK2Bna18d6GW1NxcsLl4bC4em4vH5uJZQ3OtVou5c+di1qxZ8PX1xbhx4xAdHW2YmAJA9+7d0b9/fwDA3r17MX/+fHz00Ue4fPkytm3bhgULFiA9PR2TJ0/Gjz/+CJVKVea63nrrLWzevBnPPfccatWqhevXr+P7779H165dUbduXXz11Vf48MMPMWPGjPuOWb6/dVmJ/Px8ODo6Sj0Mq8Lm4llS8wBvL9QLqoU9x08hplUzqYdzT5bU3FywuXhsLh6bi8fm4llD84SEBAQFBSEwMBAAEBMTg7179xpNXEu+A1pYWGj49969exETEwM7OzsEBAQgKCgICQkJaNKkSZnrWrRoEdasWQNXV1cAQN26ddG0aVMMHDgQmzdvRlhYGAYOHFjumDlxlZiLi4vUQ7A6bC6epTXvG90WG/YelPXE1dKamwM2F4/NxWNz8dhcPHNuXlRUZLjsTEl2dnawt7c3fJ2WlmZ0giRfX1+cPn261PPWrl2LlStXQqPRYPbs2YbnhoeHGx7j4+ODtLS0e44pNzcXBQUFhokrABQUFCAnJ8fw/JIT43vhxFVihYWFRhsR1Tw2F8/Smsd2aIt+k9/FTO1TsLnHYTFSs7Tm5oDNxWNz8dhcPDYXz5ybnzp1CnFxcaVub9GiBVq2bFnp5Q0YMAADBgzAli1b8PPPP+O1116r0jJGjx6NESNGoFatWrhx4wYWL16MRx55BACwe/du1K1bt9zlcOIqMY1GI/UQrA6bi2dpzWv7+yLA2wv7T55Bx2YRUg+nTJbW3BywuXhsLh6bi8fm4plz84iICDRo0KDU7XZ2xpfx8/HxQWpqquHr1NRU+Pj43HO5MTExmDNnTpnPTUtLu+9zp0yZgjp16mD9+vW4efMmfH19MXToUDz22GMAgPbt2yMqKqrc740TV4nxOlHisbl4ltg8NrotNv5zSLYTV0tsLndsLh6bi8fm4rG5eObc3N7evkLvFjdu3BjJycm4fv06fHx8sG3bNkybNs3oMUlJSQgODgYA/PPPPwgKCgIAdOjQATNmzMDgwYORnp6O5ORkNG7c+J7rUiqVGDJkSKmzFpccc0Vw4iqxrKwseHt7Sz0Mq8Lm4lli874d2uDxtz7Ge88Mg1Ipv0tiW2JzuWNz8dhcPDYXj83Fs4bmKpUKEyZMwNSpU6HT6dCnTx+EhoZi0aJFCAsLQ4cOHbB27VocOXIENjY2cHFxwdSpUwEAoaGh6NatG0aPHm1Yzr3OKHxHWloa4uPjcevWLej1esPtgwcPrvCYOXGV2N1v21PNY3PxLLF5g+BAuDk74cjZC2jTuKHUwynFEpvLHZuLx+bisbl4bC6etTSPiooqdYjuqFGjDP8eP378PZ/75JNP4sknn6zQejZv3ozJkyejTp06OH/+PBo0aIBz586hVatWlZq4yu9tAitjY8O/HYjG5uJZavPY6DbYsO+Q1MMok6U2lzM2F+//7d13WFNXHwfwbxIIG1FAFOqqey8UB65arWJrrXag1qqtiqNq9RVU3HtWrRtrnS1qrbMVrVRx4kRxg1sUECHIDoQk9/2DcmuEICM5N+P3eR4fSXJz77nfe3JuTu44lDl7lDl7lDl7lLlurVq1CgsXLsTBgwdhY2ODgwcPYu7cuWjUqFGJ5kMdV4FlZWUJXQSzQ5mzZ6qZ+7TLGxbnzVNeDIWpZm7IKHP2KHP2KHP2KHP2KHPdiouLQ8+ePTWe++yzz3Dw4MESzYc6rgIz5nGijBVlzp6pZt6gehWIxWLcfvxM6KIUYKqZGzLKnD3KnD3KnD3KnD3KXLecnZ35cV49PDxw/fp1xMTEQK1Wl2g+1HEVmFwuF7oIZocyZ89UMxeJRPBp64kj4VeELkoBppq5IaPM2aPM2aPM2aPM2aPMdeuLL75AREQEAGDIkCH45ptv8Omnn2q9y7A2dAK3wFQqldBFMDuUOXumnLlP21b44adNmPz15xCJREIXh2fKmRsqypw9ypw9ypw9ypw9yly3hg0bxo/A0KdPH7Ru3RpyuRw1a9Ys0XyYHXG9fPkyBg8ejEGDBmHXrl1apztz5gy6du2K6OhoVkUTlDGPE2WsKHP2TDnzZrVrICs7B/efxwpdFA2mnLmhoszZo8zZo8zZo8zZo8x1R6VSoVmzZlAoFPxz7u7uJe60Aow6riqVCqtXr8aiRYuwZcsWnDx5Ek+fPi0wXVZWFvbv34/69euzKJZBSE1NFboIZocyZ8+UMxeLxQZ5d2FTztxQUebsUebsUebsUebsUea6I5FIUL16dbx+/brM82LScY2KioKHhwfc3d1haWmJLl26IDw8vMB0W7duha+vb5FjJ+Xk5CA9Pb3Av5ycHH2ugt5YWVkJXQSzQ5mzZ+qZ+7QzvI6rqWduiChz9ihz9ihz9ihz9ihz3frkk08wcuRIHDhwABcuXND4VxJMrnFNSkqCq6sr/9jV1RX37t3TmOb+/ftITExEmzZt8Pvvv2ud1927dxEZGVng+Tp16sDFxQWVK1eGTCaDQqFAtWrV8OzZMzg6OsLCwgLJycnw8PBAQkIC1Go1PDw88Pz5czg5OQEAUlJSUKVKFcTGxkIsFsPNzQ2xsbGoUKEClEol0tLS+HlKpVJYVbCFTCaDra0tlEolFAoFypUrh9TUVFhYWMDa2hoZGRmwtbVFbm4ucnNz+dctLS1haWmJlJQUWFpaIjs7G0qlkn9dKpXCwsICWVlZsLe3h1wuh0ql4l+3srKCWCyGXC5HbqVcPHr0SCfr5OzsjPj4eLi4uCA7OxsZGRn869bW1nBycsLLly/h6uqKzMxMZGVl8a/b2trCzs4OiYmJqFSpElJSUpCdnc2/bm9vD2trayQlJZV6O+VYKiGTyeDo6Ij09HSIRCLY2dkhPT0dNjY2UKvVyMnJ4XOSSCSwsbHht4NSqURqaiqsra1LtJ3yt0P+dlJVViE6Olon62To2ykjOwMymazQuufg4IDMzExwHAcHBwekpaXB2toaAJCdnc1vJ7lcDqlUWqLt9PbnSeGmQHR0tGB1r6jtVN2lPBJkyTgZfhHtWjQr83ZKTUtFWlpaoXWvuG2ESqUq8XZ6+/Mkl8sR/TzaqNqI0n6eUrNSIZfLS92WZ2VlQSwWIzU1tdRtuYODA9LT05ESKzOqNqK02ymdy0Jubm6p23KFQgFLS0vIZLJSt+XlypVDaloqFK/lJt+Wy2QyqGzA7wdL05aLRCKIRCLIZLJSt+XW1tZITUuFJBtG1UaUdjtZVbCFXC4vdVtuZWWF7Oxs5OTklLotV6vVSE1LhYPY1qjaiNJuJ7uKeTmUti23t7fnD4qVti3PzMxEmmMa7GDNvO7VrVtXaz9KKPmXia5Zs0bjeZFIhBMnThR7PiKOwQCEp0+fxpUrVzBp0iQAQGhoKO7du4dx48YBANRqNSZNmoSAgABUqlQJEydOhJ+fX6HB5+TkaJwjnU8qlTL/dSQxKxlnXpTtbqIymQzOzs5lmkfH91rB1bZCmeZhLChz9ijz4pm8fiuqVaqI0X17lXlelDl7lDl7lDl7lDl7lDl7lLnpYnKqsIuLCxITE/nHiYmJcHFx4R9nZWXhyZMnmDhxIgYMGIC7d+9ixowZhd6gycrKCg4ODgX+GeshfQcHB6GLYHYoc/bMIXOftp4IMaBhccwhc0NDmbNHmbNHmbNHmbNHmetebm4url69ipCQEAB5/b+srKwSzYPJqcL16tVDbGwsf6g7LCwM06ZN41+3t7fHgQMH+MdFHXE1NZmZmUVe00t0jzJnzxwyb9e4Pp68TEBsogwermX7lVYXzCFzQ0OZs0eZs0eZs0eZs0eZ61Z0dDRGjRoFqVSKhIQE+Pj44MqVKzhw4ABWrVpV7PkwOeIqkUgwduxYTJ48GUOHDkXnzp1RvXp1bN26tdCbNJkTBmdqk7dQ5uyZQ+aWFhbo1qo5jl40jJs0mUPmhoYyZ48yZ48yZ48yZ48y163Zs2dj3LhxOHbsGCws8o6btmrVChERESWaD5MjrgDg5eUFLy8vjeeGDh1a6LQrVqxgUSSDQKcisEeZs2cumfu0bYWNB0Iw7JOPhC6K2WRuSChz9ihz9ihz9ihz9ihz3Xr48CE+/fRTAHk3ZAIAW1vbEo8Kw+SIK9EuLS1N6CKYHcqcPXPJvGOzhrj37DkSU4Qf/81cMjcklDl7lDl7lDl7lDl7lLlueXh44Pbt2xrP3bx5E1WrVi3RfJgdcSWFy7+NOWGHMmfPXDK3lkrRpUUTHLsYgUE9PhC2LGaSuSGhzNmjzIvH49NvhC7CW34DAMQe2iFwOYwD1XP2KHPdGj9+PPz8/ODr64vc3FwEBQVh9+7dmDdvXonmQ0dcCSFEh3zaeiLkgmFc50oIIYQQIrQuXbpg8+bNSE5ORqtWrRAbG4s1a9bA29u7RPOhI64Cy87Ohp2dndDFMCuUOXvmlPkHLZti0tpf8Do9A+Ud7AUrhzllbigoc/Yoc2IOqJ6zR5nrVnJyMho0aIDZs2eXaT50xFVgjo6OQhfB7FDm7JlT5rbWVvBu0gDHL18XtBzmlLmhoMzZo8yJOaB6zh5lrltdunTB8OHDcfjw4RKP3fom6rgKLD09XegimB3KnD1zy7xnW0+EXLgiaBnMLXNDQJmzR5kTc0D1nD3KXLfCwsLQuXNn7Nq1C+3bt8fEiRNx8uRJKJXKEs2HThUWWP4toQk7lDl75pb5h57NELhxO9Kz5HCwtRGkDOaWuSGgzNmjzMuuc/PGmDv8a4jFYuwKPY11+/7SeH1E7x7o370TlCoVklPTMXHNZsQmygAA0wZ/ha6eTSEWiXHmxm3M/PlXAEDjmtWxctxwWFtJcTLiBv88KR2q5+xR5rpVoUIFDBw4EAMHDkRsbCyOHDmClStXIjAwEBcvXiz2fOiIq8Do/Hn2KHP2zC3zcvZ2aN2gDk5cjRSsDOaWuSGgzNmjzMtGLBZhgd83+HrOcnT5fgr6dGiD2lXcNaa5/eQZek6chW7jp+NI+BVMH+ILAPCsVwut6tfGh+On4YNxU9Gs1vto26geAGDRyMEIWLcF3iP9UaOyG7q0aMJ83UwJ1XP2KHP9kclkSEpKwuvXr0t8SjZ1XAVGpyKwR5mzZ46Z+7RthSPhwt1d2BwzFxplzh5lXjbNa9fE05evEJOQiFylCofOXsRHrVtoTBN+6x6yFQoAQET0I1R2Lg8A4DjAytISUgsLSC0sYWEhQWJKGiqWLwcHWxtcu/8IAPBH2Hn08NKcJykZqufsUea69fDhQ6xatQrdunXDmDFjAADr16/H8ePHSzQfOlVYYDY2wpxGaM4oc/bMMfOPvFpgzpZgyHNyYGNlxXz55pi50Chz9ijzsqnkXB5xSTL+cbwsGc3r1NQ6ff9uHREWcRMAEBH9EOG37uHa1tUQiUTYFvIPHr6IQ5NaNRAve60xz0rOFfS3EmaA6jl7lLlu9e/fH927d8fcuXPh5eUFsTjv2Klareb/Lg7quApMrVYLXQSzQ5mzZ46ZV3B0QJNaNXDq2i30bOvJfPnmmLnQKHP2KHN2+nZqh6a1aqBf4EIAQPVKFVG7ijs8v/sBALB7zmS0blAH2YpcAUtpmqies0eZ69b58+chlUr5x9HR0Th48CD+/PNPnDt3rtjzoVOFBZaTkyN0EcwOZc6euWbu09YTIReEOV3YXDMXEmXOHmVeNi9lr+Hu4sw/ruxcAS/fOFqar0PThhj3RW8MWbASin/vAtqjrSeuRT9CVnYOsrJzcPLaDbSsWwsvZcn86cT/zTNZ/ytjwqies0eZ65ZUKkVycjK2b9+Ozz77DH369MHt27cxbdq0Es2HOq4CK1eunNBFMDuUOXvmmnnPNp44cTUSObnsj0CYa+ZCoszZo8zLJvLBY9So7IYqFV1gaSHBpx3aFBiDumGNalg8agiGLlgJWep/1/3FJcrQplE9SMRiWEgkaNuwHh6+iMOr16lIz5Kjxb+nHH/epT3+vnyN6XqZGqrn7FHmupGbm4u///4bI0eORMeOHbFnzx58+OGHcHR0xKpVq9CzZ88SzY9OFRZYamoqnJ2d3z0h0RnKnD1zzdytghPqVPXAuRt30dWzKdNlm2vmQqLM2aPMy0alVmP6ph0Inh0AsViEPSfO4P7zWEwa0Bc3Hj5B6OXrmDHUF3Y21ggK+B4AEJskw9AFq/BX+GW0b1wfJ1YvBAcOp67dQuiVSABAYNCOvOFwpJYIu3YTJ/+9LpaUDtVz9ihz3Wjfvj1EIhH69u2LsWPHomHDhgCAXbt2lWp+1HEVmEQiEboIZocyZ8+cM+/Z1hMhF64w77iac+ZCoczZo8zL7mTETZyMCNB4bnnwfv5v35lLCn2fWs1h8oZthb528+ETdB0XqLMymjuq5+xR5rpRt25dRERE4MaNG6hWrRree++9Mh3NplOFBUZ3LWOPMmfPnDP3aeOJvy9dg1KlYrpcc85cKJQ5e5Q5MQdUz9mjzHVj586dCA0NRfv27bFlyxa0b98eI0eORFZWFpT/Xi9fEtRxFVhGRobQRTA7lDl75px5FTdXVKnoggu3o5gu15wzFwplzh5l/m6RDx4LXQRSRlTP2aPMdcfDwwNjxozB8ePHsW3bNri6ukIsFqN3795YunRpieZFpwoLzNbWVugimB3KnD1zz9ynXSuEXLiCDk0bMlumuWcuBMqcPcpcu4TkFCza+TvOXL8tdFFIGVE9Z48y1w9PT094enpi+vTpCA0NxcGDB0v0fjriKrDSHCYnZUOZs2fumfu09cSxixFMx4Uz98yFQJmzR5kXlK1QYM0ff6LruEBUdCqH0+sLv0aVGA+q5+xR5vplZWWFjz/+GJs3by7R++iIq8AUCoXQRTA7lDl75p55TY/KqODogIjoh2hVvw6TZZp75kKgzNmjzP/DcRxCLlzF/G270aB6Vfy1bBaqV3YTulhEB6ies0eZGybquAqMxolijzJnjzLPO+p6JPwKs44rZc4eZc4eZZ7nzpMYzNr8G16np2PpmG+ZXpZA9I/qOXuUuWGijqvAaJwo9ihz9ihzwKdtKwxZsBKzvh0AkUik9+VR5uxR5uyZe+ay1DQs/W0fjl2MwMT+n2Fg986wKGQYj9hDOwAAiVnJOPPiStmWKZOVOPNzF+7jxKl7+GFMd5RztEHH91rB1bZCmcphTsy9nguBMjdMdI2rwCws6LcD1ihz9ihzoF6192AhkeDmwydMlkeZs0eZs2eumStylQg6dBSdv58KK6klTq9fgsE9uxbaadW10mTu3bYO2rSuifU/n0BWVo4eSmXazLWeC4kyN0y0VQRmbW0tdBHMDmXOHmUOiEQi9GrriZALV9G09vt6Xx5lzh5lzp45Zn7i6g3M/uU3VKtUEfsXBqJ2FQ+myy9t5t0/aIjMzBwEbTmFTrNbAXTT1mIzx3ouNMrcMNERV4HROFHsUebsUeZ5fNq1wpELV8BxnN6XRZmzR5mzZ06ZP3gei6/nLMecLcGY/d1A/DprEvNOK1D6zEUiEfp83AKuLo6YtGorFLl019biMqd6bigoc8NEHVeB0ThR7FHm7FHmeZrWqgFFrhJRz17ofVmUOXuUOXvmkHlKRiZm/vwr+gYuRMdmjfDPTwvQ1bOpYOUpS+ZisQj9v/CCpYUFfvhpE9MhwoyZOdRzQ0OZGybquAosNzdX6CKYHcqcPco8j0gkQs82njh68arel0WZs0eZs2fKmStVKmwL+QedRk9GTm4uTq1dhBGf9oDUUtirvMqauUQixuJx3yAh+TVm/PwrkzNQjJ0p13NDRZkbJuq4Cow+GOxR5uxR5v/p1c4TIeHUcTVFlDl7ppr52Rt38NGEGTgSfgW75gZgyeihcC7nKHSxAOgmc2upFFunTcDVqAf4cdcBHZTKtJlqPTdklLlhopszCYzGiWKPMmePMv+PZ73akKWl4XHcS7zvXklvy6HM2aPM2TO1zJ/EJ2De1l249/Q5Zgz1Rc82nkyGzyoJXWXuaGeL32b5o8/UeSjvYI/vPumuk/maIlOr58aAMjdMdMRVYKmpqUIXwexQ5uxR5v8Ri8Xo0aYlQsLLNpbiu1Dm7FHm7JlK5ulZcizYvgef+M9B8zo1EbZ2EXzatjK4Tiug28xdnByxa3YANhwIwb5T53U2X1NjKvXcmFDmhok6rgKztLQUughmhzJnjzLX5NO2FUIu6Pd0YcqcPcqcPWPPXK1WY/c/p9Fp9GQkpaThxOqFGPv5J7CWSoUumla6zryKmyuCZ/tj3tbd+OdqpE7nbSqMvZ4bI8rcMNGpwgKjDwZ7lDl7lLmmNg3rIiYhES9eJeG9ii56WQZlzh5lzp4xZ375bjRmbv4NUgsLbJn2A5oxGN9ZF/SReZ2qHtgS+AMGz1+BzVPGwathXZ0vw5gZcz03VpS5YaIjrgLLysoSughmhzJnjzLXZGlhge6tm+v1qCtlzh5lzp4xZh6bmIRRy9Zh9PIN8Pu0Bw4tmWE0nVZAf5m3qFsT6/43CiOWrMGdJzF6WYaxMsZ6buwoc8NEHVeB2dvbC10Es0OZs0eZF+TTrhVCLujvOlfKnD3KnD1jyjwrOwfLg/fjowkzUeu9yjizfgk+69TOIK9jLYo+M+/YrBHm+32Db+b+iCfxCXpbjrExpnpuKihzw0QdV4FlZ2cLXQSzQ5mzR5kX1KFpQ9yPiUVCcope5k+Zs0eZs2cMmXMch/2nwtFx9GQ8jnuJv1fOxf/694WttZXQRSsVfWf+SfvWmODbBwNmLcVL2Wu9LstYGEM9NzWUuWGia1wFplQqhS6C2aHM2aPMC7KytMQHLZvi2KUIDO7ZVefzp8zZo8zZM/TMIx88xsyff0WuUon1k0ahdQPjv3aTReZff9QFr9MzMHDOMvyxIBDlHcz76Jeh13NTRJkbJjriKjAaJ4o9ypw9yrxwPu089TYsDmXOHmXOnqFm/lL2Gj/8tAnfLliFgd0748jy2SbRaQXYZf59v4/RsVkjDJ63AlnZOUyWaagMtZ6bMsrcMFHHVWA0ThR7lDl7lHnhurRoghsPnyA5LV3n86bM2aPM2TO0zLMVCqzeexgfjp+Gik7lcHr9Enz1YUeIxabzdYtV5iKRCDOG+OJ9j0oYvng1FLnmewTM0Oq5OaDMDZPptKRGSmrAY7WZKsqcPcq8cDZWVujQtBGOX76m83lT5uxR5uwZSuYcx+FI+BV0+X4qbjx4gr+WzULg4K/gYGsjdNF0jmXmYrEYy7//DlJLC4xfFQSVSs1s2YbEUOq5OaHMDRN1XAVmYUGXGbNGmbNHmWvn07YljoTrflgcypw9ypw9Q8j8zpMYfDF9MVbuPohl33+HXwLHo3plN6GLpTesM7eQSLB+0hgkpqRi+s87wHEc0+UbAkOo5+aGMjdM1HEVGI0TxR5lzh5lrt2HrZrj8t1opGXqNiPKnD3KnD0hM5elpiFg/VYMmLUUn3i3xrGVc+HdpIFg5WFFiMxtrKTYEvgDrkU/wvLg/cyXLzRqW9ijzA0T/ZwgMBonij3KnD3KXDsHWxt4NayLf65Eom/ndjqbL2XOHmXOnhCZK3KV2BoSirV//IXPOrXF6fVL4GRvx7wcQhGqnjva2eK3Wf7oM3UeyjvaY9gnHwlSDiFQ28KeuWR++fJlrFu3Dmq1Gj4+Pujfv7/G63v37kVISAgkEgmcnJzg7+8PN7e8M0q6deuGGjVqAAAqVqyI+fPn67281HEVmFwuh5WVcY7lZqwoc/Yo86L1atsKIReu6LTjSpmzR5mzxzJzjuNwIuIG5vwSjOqVK+LAommo9Z47k2UbEiHruYuTI3bPmYzPps6Hk709Pu/SXpBysEZtC3vmkLlKpcLq1auxdOlSuLq6YvTo0Wjbti2qV6/OT1OrVi1s2LAB1tbWOHz4MDZt2oQZM2YAyLsOeNOmTUzLTB1XgalUKqGLYHYoc/Yo86J1a90cMzf/iqzsHNha62ZHSZmzR5mzxyrzB89jMfuXYDx/lYTZ3w1EV8+mTJZriISu5+9VdMFvs/zx5YzFcLSzRffWzQUtDwtCZ26OzCHzqKgoeHh4wN097we4Ll26IDw8XKPj2rz5f5+v+vXr459//mFdTA3UcRUYjRPFHmXOHmVetAqODmhepybCrt1Er3atdDJPypw9ypw9fWf+Oj0DK3cfxIEzFzD2808wxOdDSC3N+6uTIdTzOlU9sCXwBwyevwI/TxmLNg3rCV0kvTKEzI2Bx6ffCF2Et/wGAIg9tIPpUnNycqBQKAo8L5VKNY4iJyUlwdXVlX/s6uqKe/fuaZ3v0aNH0bp1a/6xQqHAqFGjIJFI4OvrC29vbx2tgXbm3foagNTUVDg7OwtdDLNCmbNHmb+bz7+nC+uq40qZs0eZs6evzJUqFX79Owwrdx9Ez7aeOLV2EZzLOep8OcbIUOp5i7o1se5/ozBiyRoEzw5Ao/erCV0kvTGUzIlxuHv3LiIjIws836xZM40jqCURGhqK+/fvY8WKFfxzwcHBcHV1RVxcHCZNmoT333+fP3qrL9RxFZipnz9viChz9ijzd+vRpgUW7/wdObm5OpkfZc4eZc6ePjI/E3kbc7YEo4KjA3bNDUCD6lV1vgxjZkj1vGOzRljoNxjfzP0RfywMxPvulYQukl4YUubE8DVo0AC1atUq8PzbY9O6uLggMTGRf5yYmAgXF5cC74uIiEBwcDBWrFihMY/8o7Xu7u5o2rQpHjx4QB1XUycW04hErFHm7FHm71axvBPqVauCM5G30axh2Y8cUObsUebs6TLzJ/EJmLd1F+49fY4ZQ33Rs40nRCKRzuZvKgytnn/cvjVSMzMxcPYy7F80DZWdKwhdJJ0ztMyJYbOysirWjx316tVDbGws4uPj4eLigrCwMEybNk1jmgcPHmDlypVYvHgxypcvzz+fnp4OKysrSKVSpKam4s6dO/jqq690vi5vo46rwORyOWxtbYUuhlmhzNmjzIunZ9uWCAm/qpOOK2XOHmXOni4yz8jKxqa9e7Ar9DRG9umJ9ZNGw/qtIxPkP4ZYzwd274LXaRkYOHsZ9i2chvIOpjWUiSFmToyfRCLB2LFjMXnyZKjVavTs2RPVq1fH1q1bUbduXbRr1w6bNm2CXC7H3LlzAfw37E1MTAxWrlwJkUgEjuPg6+urcVMnfaGOq8AcHByELoLZoczZo8yLx6etJ1b9fgj+Q/uUeV6UOXuUOXtlyVytVuPS1ceYF/onurRoihOrF8KtgpPuCmeiDLWej+n3MZLTM/DNvB+xZ+4Und2h3RAYaubGonPzxpg7/GuIxWLsCj2Ndfv+0nh9RO8e6N+9E5QqFZJT0zFxzWbEJsr41+1trHFq7WIcuxSB6Zt2AgAsLSSYP+IbtGtUH2pOjSW//oGQC1eZrpcueHl5wcvLS+O5oUOH8n8vW7as0Pc1bNgQmzdv1mvZCkPnHggsMzNT6CKYHcqcPcq8eDxcXVC9khuu3n1Y5nlR5uxR5uyVNvNHj19h+eq/cfHyI6yaNAwrxw+nTmsxGWo9F4lEmDHEF7U83DFs0U9Q5CqFLpLOGGrmxkAsFmGB3zf4es5ydPl+Cvp0aIPaVTSvw7z95Bl6TpyFbuOn40j4FUwf4qvxuv/Afrh4J1rjuXFf9IYsNQ0dRgeg8/dTceF2lN7XhVDHVXAcxwldBLNDmbNHmRefT1tPnLh8o8zzoczZo8zZK2nmya8zse3Xc9ix6zy6dqqPH8Z0R8OadPOlkjDkei4SibDs+29hbSXF+FVBUKnUQhdJJww5c0PXvHZNPH35CjEJichVqnDo7EV81LqFxjTht+4h+9/hYyKiH6Gy83/XcjauWR2uTuVwJvKWxnt8P+yINX/8CSBv+7xOz9DzmhCAOq6Co9M/2KPM2aPMi8+nXSuEXb0FtbpsX7goc/Yoc/aKm3mOQokjf9/A0lUhqFjREdP8P0HL5tXp5kulYOj13EIiwfpJo5GYkoZpm3aYRKfP0DM3ZJWcyyMu6b/TfuNlyaj0Rsf0bf27dURYxE0AeT+EzBzaH/O27tKYxtEu73rjgIGf49iKuQgK+B4uNFwWE9RxFVhaWprQRTA7lDl7lHnx1ajsBudyDnjyNKlM86HM2aPM2XtX5hzH4cq1J1iw9E8kJaVj8gQf+HRvAqmUbvFRWsZQz62lUmyd9gMiHzzGsuB9QhenzIwhc1PQt1M7NK1VAxsOhAAABvfsipMRNxAve60xnUQshruLM65GPUCPiTMREfUQM4f2F6LIZodaboFZW1sLXQSzQ5mzR5mXTNfWTRB56wlqvl+x1POgzNmjzNkrKvNnMUnYdygCKrUaQwa2x/s1Sv95Iv8xlnruYGuDX2dOwmdT56O8gz2G9+4hdJFKzVgyN0QvZa/h7uLMP67sXAEv3+qIAkCHpg0x7ove6DdtARTKvOujW9arBa8GdTG4Z1fY2VjD0sICmdk5WLTjd2Rl5/A3Y/or/DJ8u3Vks0JmjlnH9fLly1i3bh3UajV8fHzQv7/mLxN79+5FSEgIJBIJnJyc4O/vDzc3N1bFI4QQg9G1dVPsXngGfXu3pFMZicnx+PQb5stctT60iFd/AwDEHtrBpjCEGRcnR+yaE4DPps6Hk709vvjAW+giEcYiHzxGjcpuqFLRBS+TX+PTDm0w5scNGtM0rFENi0cNwddzlkOWms4/P3bFRv7vLz/wRpNaNbBox+8AgNAr19GuUT2cv3UP3k0a4MHzODYrZOaYnCqsUqmwevVqLFq0CFu2bMHJkyfx9OlTjWlq1aqFDRs2YPPmzejYsSM2bdrEomiCy87OFroIZocyZ48yL5ma71WCpaUFYp7L3j2xFpQ5e5Q5MQfGVs/fq+iC4Nn+WLB9D45fvi50cUrF2DI3JCq1GtM37UDw7ACcWrsYf56/hPvPYzFpQF90a90cADBjqC/sbKwRFPA9jq+ch63TfnjnfBds34OJ/T9D6E/z0a9ze8zZsuud7yFlx+SIa1RUFDw8PODunnf76S5duiA8PFxjoNrmzZvzf9evXx///PMPi6IJztGRLuZmjTJnjzIvGZFIhKaNqyDy1nNUq+pSqnlQ5uxR5sQcGGM9r13FA1un/YDB81dg0+SxaNOwntBFKhFjzNyQnIy4iZMRARrPLQ/ez//tO3PJO+fx+8lz+P3kOf5xbKIM/QIX6q6QpFiYHHFNSkqCq6sr/9jV1RVJSdpvPHL06FG0bt260NdycnKQnp5e4F9OTo7Oy81Cenr6uyciOkWZs0eZl1zTxlVw41ZMqe+ISZmzR5kTc2Cs9bx5nZpYO3EURixZg9uPnwpdnBIx1swJ0TWDuzlTaGgo7t+/jxUrVhT6+t27dxEZGVng+Tp16sDFxQWVK1eGTCaDQqFAtWrV8OzZMzg6OsLCwgLJycnw8PBAQkIC1Go1PDw88Pz5czg5OQEAUlJSUKVKFcTGxkIsFsPNzQ2xsbGoUKEClEol0tLS+HlKpVJYVbCFTCaDra0tlEolFAoFypUrh9TUVFhYWMDa2hoZGRmwtbVFbm4ucnNz+dctLS1haWmJlJQU2NnZITs7G0qlkn9dKpXCwsICWVlZsLe3h1wuh0ql4l+3srKCWCyGXC5HbqVcPHr0SCfr5OzsjPj4eLi4uCA7OxsZGRn869bW1nBycsLLly/h6uqKzMxMZGVl8a/b2trCzs4OiYmJqFSpElJSUpCdnc2/bm9vD2trayQlJZV6O+VYKiGTyeDo6Ij09HSIRCLY2dkhPT0dNjY2UKvVyMnJ4XOSSCSwsbHht4NSqURKSgocHR1LtJ3yt0P+dlJVViE6Olon62To2ykjOwMymazQuufg4IDMzExwHAcHBwekpaXxN5HIzs7mt1Nqairs7e1LtJ3e/jwp3BSIjo4WrO6x3E6paako52ABlUqNu/eeolZN9xK3EXK5HNbW1iXaTm9/nuRyOaKfRxtVG1Ha7ZSalZdZadvyrKws5ObmIjU1tdRtuYODA9LT05ESKzOqNqKk28lQyWQyo2kjSrudVDaAUqksdVsuEomQm5sLmUxW6rbc2toaqWmpkGSDed2rW9kVU3z7YMDMpdg9xx+WaqXet5NVBVvI5fIC3yNK0kbI5XLIZLJSt+VqtRqpaalwENsaRRtR2s+ToYqOjmbaRtStW1fYFdYjEcdggKs7d+5gx44dWLIk71B8cHAwAGDAgAEa00VERGDt2rVYsWIFypcvfIylnJwcKP4dJPhNUqkUVlZWOi550RKzknHmxZUyzUOhUJT5w9bxvVZwta1QpnkYC8qcPcqcvfzMD/wZAanUAr0+alrieVDmJUP1nJ2ibs7UuXljzB3+NcRiMXaFnsa6fX9pvD6idw/0794JSpUKyanpmLhmM2ITZfBwdcYvU8dDLBLBwkKCrUdCsfNYGADg0w5tMPbzT8CBQ0JyCsau2IjX6RkFlm0ON2eiep7nt+NhWLP3TxxYPB2VnfVbDspc/ziOw+FzlzB6+Xqhi1Ioc2hbWGFyqnC9evUQGxuL+Ph45ObmIiwsDO3atdOY5sGDB1i5ciXmzZuntdMKAFZWVnBwcCjwj3WnVVfo9A/2KHP2KPPSadq4Km7eKt0RKsqcPcq8bMRiERb4fYOv5yxHl++noE+HNqhdxV1jmttPnqHnxFnoNn46joRfwfQhvgCAV69T0DtgLrpPmIGP/edgTN+P4VbBCRKxGHOHfY0vpi9Ct/HTce/pcwzt1U2I1TMZplDPB3bvgkE9PsCAWcsK/RHD0JhC5vryND4BX89ZjjV7/xS6KIQBJh1XiUSCsWPHYvLkyRg6dCg6d+6M6tWrY+vWrQgPDwcAbNq0CXK5HHPnzsWIESMwffp0FkUTnI2NjdBFMDuUOXuUeelUr+qCLLkCCa9KPvg8Zc4eZV42zWvXxNOXrxCTkIhcpQqHzl7ER61baEwTfusesv896yoi+hEqO+f90J2rVPFjL1pZWkIszvt6IxKJIBIBttZ5P2472NogIbngGI6k+Eylno/u2wsftGyCQXN/RKbcsO/aayqZ65IiV4mffj+Mj/3nwLtJAxxdMUfoIhEGmF3j6uXlBS8vL43nhg4dyv+9bNkyVkUxKGq1WugimB3KnD3KvHTEYhGaNMq7SVP3ro1K9F7KnD3KvGwqOZdHXNJ/Q0DFy5LRvE5NrdP379YRYRE3+cfuLhWwfcZE1KjshnnbdiMhOQUAMHXjdpxYvRBZ2Tl4Ev8SgUHb9bYO5sBU6rlIJML0Ib6YtPYXDFu8GtumT4CVpaXQxSqUqWSuKxfvRGHK+m2oVrkijv44B1XcXN/9JmISDO7mTOYmJycH9vb2QhfDrFDm7FHmpde0cRUc/Ot6iTuulDl7lDk7fTu1Q9NaNTSGo4hLSka38dPhVsEJv0wdjyPnryAlIxPf9PgAH02YgWcvX2H+iEEY2+8T/LT3sIClN26mVM9FIhGWjB4KvyVrMW5lENb/bzQkEiYnI5aIKWVeFslp6Zi/bTfORN7B3OED0bONJ0QiEf96/rWkuriuWCaTwdnZuUzzMOXrioVieJ9OM1OuXDmhi2B2KHP2KPPSq1mjIl6nZEKWXLLrsChz9ijzsnkpew13l/++KFZ2roCXsoKn9XZo2hDjvuiNIQtW8qcHvykhOQXRMbHwalgXDWtUBQA8e/kKAPDnuctoWa+2ntbAPJhaPbeQSLBu0igkp6UjMGh7qYcg0ydTy7ykOI7DnhNn8cHYQNjb2uDU2kXwadtKo9Oqa+aeuaGijqvAUlNThS6C2aHM2aPMS08iEaNxw/dwo4Q3aaLM2aPMyybywWPUqOyGKhVdYGkhwacd2uD45esa0zSsUQ2LRw3B0AUrIUv974Y1lZ3Lw1qad5pnOTtbtK5fB49i4/Ey+TVqV/FABUcHAEDHZo3w8EUcu5UyQaZYz62lUmwJ/AE3Hz7B0t/2CV2cAkwx8+J68DwWn09biO0h/2DHjImYO+xr2Nvq/5pfc87ckNGpwgKTSCRCF8HsUObsUeZl06xxFRz75zY+6FS/2O+hzNmjzIv24lUSth89ofV1lVqN6Zt2IHh2AMRiEfacOIP7z2MxaUBf3Hj4BKGXr2PGUF/Y2VgjKOB7AEBskgxDF6xCrffcMfPb/gAHQARsPBiCqGcvAAAr9xzA/oXTkKtSIvaVDBNW/8xidU2WqdZzB1sb/DprEvpMmY/yDvYY8WkPoYvEM9XMiyLPUWDNH4ex4+hJTPTtg8E9P2R6Grc5Zm4MqOMqMLpTHHuUOXuUednUqVUJO4LDkZKaBadytsV6D2XOHmVeEMdxCL91D1uPhOLCnSh80cW7yOlPRtzEyYgAjeeWB+/n//aduaTQ9529cQfdxhc+GsHOY2H8mK6k7Ey5njuXc8TuuQHoM2U+nBzs8OUHHYQuEgDTzrwwp6/fQuDG7WhUszpCf5qv97F2C2NumRsL6rgKLCMjw2jHoDVWlDl7lHnZWFhI0KC+O27efo6O7esW6z2UOXuU+X+ysnOw/3Q4th4JhUqlxtCPu+GnH/xgZ2ONnw//LXTxSBmYej33cHVB8Gx/fDF9MZzs7NDdq8W736Rnpp55vlevUzD7l2Bcv/8I80d8g66eTQUri7lkbmyo4yowW9viHT0hukOZs0eZl12zxlVx+lx0sTuulDl7lDkQk5CI7SH/YM+Js2hVvzZmfzcQ3k0a6PUmKoQtc6jntat4YNv0CRg090dssrNF20b1BC2PqWeuVqux8+8wLA/ejwHdOuHHsd/BRuBOo6lnbqyo4yowZSF3RCT6RZmzR5mXXb26lfHrngtIz8iGg731O6enzNkz18w5jsO5m3ex5a/juHLvAb7q2gEhP85BVRpb0SSZSz1vVvt9rJ80Gn5L1yB4tj8avV9dsLKYcuZ3nsRg8vqtsJCIsXf+VNSr9p7QRQJg2pkbM+q4CkyhUAhdBLNDmbNHmZed1NIC9epUxq07L9DOq9Y7p6fM2TO3zDPl2fjj1HlsO/IPxGIRhvbqhnX/Gw1bazq9zpSZUz3v0LQhFo8agm/mrsDeBVNR06OyIOUwxcwz5dn4cfcB/BF2DlO+/gK+H3aEWGw4g52YYuamgDquAqNxotijzNmjzHWjWeMquHT1cbE6rpQ5e+aS+dP4BGwL+Qd7w86hbcN6mD9iENo1rk+nA5sJc6nn+XzatkJKeiYGzF6GA4umw92F/Y2CTC3zvy9FYMbPv6JNw3o4uXoRXJwchS5SAaaWuamgjqvAUlNT4ezs/O4Jic5Q5uxR5rrRoJ4Hdv1xCVlyBWxtpEVOS5mzZ8qZcxyHM5G3seVIKK5FP4Lvhx3x94p5eK+ii9BFI4yZcj3XZkD3zkjJyMTA2cuwb2EgPy4wK6aSeWyiDDN+3okHz+OwYtxweDdpIHSRtDKVzE0NdVwFZmFBm4A1ypw9ylw3rK0tUbumG27ffYHWLd8vclrKnD1TzDwjS44/ws5jy5FQSC0t8N3H3bHRf0yZbpwSe2gHACAxKxlnXlwpU/lSU1PLfGSk43ut4GrL/iiasTLFel4co/v2QnJaOr6Z+yP2zJsCO5t332tAV4w9c6VKhV/+Oo41e//Etx93wwb/MbCytBS6WEUy9sxNFW0VgVlbs2v4SB7KnD3KXHeaNq6KG7eev7PjSpmzZ0qZP457iW0h/2DfqfNo16gBlo4ZCq8GdQ3udGBTytxYmHPm0wZ/Bf+1WzBs8Wpsmz6BWefLmDO/fv8RJq/fivIO9ji0ZIZg1wmXlDFnbsoM5ypoM5WRkSF0EcwOZc4eZa47jRt44P7Dl8jJyS1yOsqcPWPPXK1WI+zaTQyauxx9psyDjZUVjq+cj5+njEWbhvUMrtMKGH/mxsicMxeJRFg8egjsrK0wbmUQVCo1k+UaY+ZpmVkI3Lgd3y5chZF9fLB77mSj6bQCxpm5OaCOq8BonCj2KHP2KHPdsbW1Qo1qrrgTFfeO6Shz1ow18/QsOX758zg6jpmMRTt+x8ftWuPSzysxddAX8HA17Gu8jDVzY2bumVtIJFj7v1F4nZ6BqUHbwXGc3pdpTJlzHIdDZy+iy/dToVSrEbZ2Mfp2bmeQP3wVxZgyNyd0qrDAcnNzYWNjI3QxzAplzh5lrltNG1fBzVvP0aJpNa3TUObsGVvmD1/EY1tIKA6cvoAOTRtixdhhaFW/jlF9wTS2zE0BZQ5YS6XYMnU8vpyxGIt//QNTB32h1+UZS+ZP4xMwLWgHXia/xsaA79Gqfm2hi1RqxpK5uaGOq8Byc4s+3Y/oHmXOHmWuW00aVcHhI9eRm6uCpaWk0Gkoc/aMIXO1Wo2T125i61+huP34GQZ074zQnxYIMsSHLhhD5qaGMs9jb2uDnTP/h76BC1DewR4j+/TU27IMPXNFrhIbDoTg58PHMLpvLwzv/REsjfzmRoaeubky7lplAmicKPYoc/Yoc91ysLeGh3t5RN2PR+OG7xU6DWXOniFnnpaZhT0nzmBbyAk42tpg6Mfd8EvgeFhLix5WydAZcuamijL/j3M5RwTPDsBnU+ejvIM9vuraQS/LMeTML96JwpT121C1kiuO/jgHVdxchS6SThhy5uaMOq4Co3Gi2KPM2aPMdS/v7sIxWjuulDl7hpj5g+ex2HIkFIfOXETnFk3w0w8j0LJuLaM6Hbgohpi5qaPMNXm4OiN4tj8+n7YITva2+Mirpc6XYYiZJ6elY/623TgdeRtzh30Nn7aeJtOuAIaZOaGOq+AsDXwcK1NEmbNHmetek0ZVcPT4TSiVKlhYFDxdmDJnz1AyV6nUOBFxA1v+Oo6oZy8wsHtnnFyzCJWcywtdNJ0zlMzNCWVeUK333LF9+gR8PfdHONjaol3j+jqdvyFlznEcfj95Dot2/I7eHbxwau1iONia3rWghpQ5+Q91XAVGHwz2KHP2KHPdK+9kC1dXBzx4lID6dd0LvE6Zsyd05ikZmdj9zxlsD/kHFRwd8O3H3fBx+9bMxpoUgtCZmyPKvHBNa7+PDf5jMHLZWvw6cxKa1Kqhs3kbSuYPnsdi6sbtyJRnY8eMiTpdR0NjKJkTTdRxFVhWVhbdtYwxypw9ylw/mjWuihu3nhfacaXM2RMq8+iYF9jyVyj+PHcJXT2bYd3/RqNF3ZrMyyEEqufsUebaeTdpgCWjhmLw/BXYOz8Qtd7TzbilQmcuz1FgzR+HsePoSUz07YPBPT+ERGLaI2oKnTkpHHVcBWZvby90EcwOZc4eZa4fTRtXwYo1f+PLvq0gFmt+iaDM2WOZuUqlRuiV69hyJBQPnsdiUI8PcGrdYlQs78SsDIaA6jl7lHnRerb1RGpmJgbOWYYDi6bDUgfDgQqZ+enrtxC4cTsavl8NoT/NR2Vn47wDeUlRPTdM1HEVWHZ2NqysrIQuhlmhzNmjzPXDxdkB5crZ4tGTRNSu6abxGmXOHovMX6dnYHfoaWw/egKu5cvh217d0Ktda0gtzXN3TvWcPcr83Xw/7ITXaRkYMGspNs0YXeb5CZH5q9cpmP1LMK5FP8QCv8Ho6tmU6fKFRvXcMJnnns6AKJVKoYtgdihz9ihz/WnWuApu3HpeoONKmbOnz8zvPX2OrUdC8df5y/iwVXNsDPgezWq/r7flGQuq5+xR5sUzqm8vJKdn4PulmzB4SBtYW5f+mkmWmavVauz8OwzLg/ej/4cd8ePY72Bjhh04queGiTquAqNxotijzNmjzPWnaeOqWPfzCfTt3RJi8X9DEVDm7Ok6c6VKheOXr2HLX6F4EpeAr3t0wen1S+DqRNs2H9Vz9ijz4gv85kvE/yTD5u1n4PddZ1gWcgf44mCV+Z0nMZi8fiskYjH2zp+KetUKH27NHFA9N0ymfWW1EUhNTRW6CGaHMmePMtefSm7lYG1liWfPZRrPU+bs6Srz5LR0rP3jT7Tzm4Sgg8cwqMcHuPjzj5jwVR/qtL6F6jl7lHnxiUQiTPvuC9hYW2JH8Hmo1epSzUffmWfKszF36y70n7UE/bt1xIFF08y60wpQPTdU1HEVmFQqFboIZocyZ48y16+mjavgxq0Yjecoc/bKmvmL2GTMDtoF75H+eBT7Er9MHY9DS2bg0w5tYGlBJ0gVhuo5e5R5yVhIJPhmYHvI5bn4ff8VcBxX4nnoM/Pjl66hy9ipSEpJw8nVizCwe5cCN/szR1TPDRPtCQVmQV9GmKPM2aPM9atp46rYsuMsPu3VHCJR3unClDl7pclcpVLj5u3nOHM+GrLkTHzdowvOblgK53KOeiih6aF6zh5lXnKWFhIMG9wRa4P+wZ9HI9Hbp3mJ3q+PzGMTZZjx8048eB6HFeOGw7tJA50vw5hRPTdMtFUERuNEsUeZs0eZ69d77uUBAC/iXqOKR95QBZQ5eyXJPD0jGxcuPcS5Cw/gXMEOHdvXRZNGVdClmhecbanTWlxUz9mjzEvH2toSI4d1wU/rQ2Fna4WunYvfUdRl5kqVCr/8dRxr9v6Jbz/uhvWTRsOaji4WQPXcMFHHVWA0ThR7lDl7lLl+iUQi/nTh/I4rZV48Hp9+I3QRkJKahUdPEv99tAsAEHtoh3AFMiJUz9mjzEvP3s4ao4d/gFXrjsPOzgptWtUs3vt0lPn1+48wef1WODnY49CSGajpUVkn8zVFVM8NE53ELjC5XC50EcwOZc4eZa5/TRtXxY1bz/nHlDkxB1TP2aPMy6a8kx1GD/8Af4ZE4ubt5+9+A8qeuVyuwMItf+Dbhavg16cn9sydTJ3Wd6B6bpio4yowlUoldBHMDmXOHmWuf9WqOCM7JxcvE/LuhEiZE3NA9Zw9yrzs3CqWg9+3nbH7j0u4//DlO6cvbeYcx+Fa5FMsXP4XlCoVTq5ZhH6d2/P3QiDaUT03TNRxFRiNE8UeZc4eZa5/YrEITRtV5e8uTJkTc0D1nD3KXDeqVnHGkK+9se3Xc4h5ISty2tJkniRLx4bNYfj7xG0M/dobM4d/hfIOdPprcVE9N0zUcRUYjRPFHmXOHmXORtPGVRD57+nClDkxB1TP2aPMdadOrUrw/dwLm7acQsKrNK3TlSRzpVKF4ydu48fVf6NOLTcE/OCD92tU1EVxzQrVc8NEN2cSmJWVldBFMDuUOXuUefHo6kZB4/x/08l8gLz5mNKNgjiOQ1Z2DjLk2ciga5iMHrUt7FHmutWkURVkyRVY//MJ/DCmO8o72RWYpriZP3ycgD37LsPF2R6TxveAcwU6wlpaVM8NE3VcBUaDPLNHmbNHmZPS4jgO8hwFMuRyZMizkSnP5judWfIcZGRrPp+pMU02Mv99X15nVY6snBxILSxhb2MNextrrcvt3Lwx5g7/GmKxGLtCT2Pdvr80Xh/Ruwf6d+8EpUqF5NR0TFyzGbGJeaf7fdHFG+O/7A0A+On3w9gbdg52NtY4sHAa//7KLhWw/1Q4Zv2iqx8ZzBO1LexR5rrXplVNZGbmYP3PJzF+dDfY22m2Te/KPCMzG4eOXEfU/Xj06+2Jpo2r0HWsZUT13DBRx1Vgcrkctra2QhfDrFDm7FHm5qOwjmZm9r+dyKxsvqOZJc8ppDOajazs7DeeK9jRtP33f3sba9hZW8Pexga2Nlawt7GGSzlHVKtU8b9prd+Y1sbm3+esYCGR8OUt7Ci3WCzCAr9v0H/WUsTLkhGyfA6OX76GB8/j+GluP3mGnhNnIVuhwDc9PsD0Ib4YtWwdnOztMMG3D3z+Nwscx+Hoirk4fvkaUjOz0H3CDP79R3+cg5ALV/W7McwAtS3sUeb60bVzA2Rm5WDjL6fw/YiusLa25F/TljnHcbh89TEOh0SiRbNqCJz0CWzeeB8pParnhok6rgJzcHAQughmhzJnjzI3bpsOHeM7kgU6o28e6czO+ye1sISdjRXsbWxg90ZHM78jmf+cczlHVK1U8d8OqLXWad/saLLQvHZNPH35CjEJeWOrHjp7ER+1bqHRcQ2/dY//OyL6Efp2bgcA6NS8Mc5G3kZKRiYA4GzkbXRu0QSHzl7kp3/fvRJcnBxx6W40i9UxadS2sEeZF09ZLv0ImPF7id9z+lw0Tp8rqk0xvUs/9InquWGijqvAMjMzIZVKhS6GWaHM2aPMjduLxCTY21ijgqMDqri5wv7fo5d2/FHP/zqdQnQ0da2Sc3nEJf13l894WTKa16mpdfr+3ToiLOLmG+9NfuO9r1HJubzG9L07eOHw2Us6LrV5oraFPcqcmAOq54aJOq4C4zhO6CKYHcqcPcq87HR9zSUA/DprEtzKO0EiEePy3fsIDNoOtbrgtpo77Gs9r53x6tupHZrWqoF+gQuL/Z5PO7TBuJVBeiyV+aC2hT3KnJgDc6nnly9fxrp166BWq+Hj44P+/ftrvL53716EhIRAIpHAyckJ/v7+cHNzAwD8/fff+O23vCP5AwcOxEcffaT38tKVxwKjUxHYo8zZo8zLJv+ay6/nLEeX76egT4c2qF3FXWOa/Gsuu42fjiPhVzB9iC8A8Ndcfuw/B70mzcYE3z4oZ5d33c7IpWvR7Yfp+GBsICo4OuDj9q2Zr5sheil7DXcXZ/5xZecKeCl7XWC6Dk0bYtwXvTFkwUoolMo33lvhjfeW13hvg+pVYCGW4Najp/pbATNCbQt7lDkxB+ZQz1UqFVavXo1FixZhy5YtOHnyJJ4+faoxTa1atbBhwwZs3rwZHTt2xKZNmwAAaWlp2LlzJ9auXYt169Zh586dSE9P13uZqeMqsLQ07eN2Ef2gzNmjzMvmzWsuc5Uq/prLN4XfuodshQJA3jWXlf89PfXNay5TM7P4ay4BIEOeDQCwkEggtbAAzOMH5neKfPAYNSq7oUpFF1haSPBphzY4fvm6xjQNa1TD4lFDMHTBSshS/9tZn75+Cx2bN0Y5O1uUs7NFx+aNcfr6Lf71Tzu2xcGzF5iti6mjtoU9ypyYA3Oo51FRUfDw8IC7uzssLS3RpUsXhIeHa0zTvHlzWFvn3eW6fv36SEzMu/fD1atX0aJFCzg6OsLBwQEtWrTAlStX9F5mOlVYYPmVgbBDmbNHmZeNPq+5/G22P5rVfh9hETfxV/hlPZTe+KjUakzftAPBswMgFouw58QZ3H8ei0kD+uLGwycIvXwdM4b6ws7GGkEB3wMAYpNkGLpgFVIyMrFqzyEc+XEOAGDlnoP8jZoA4JP2rTFo7o+CrJcporaFPcq8bPRx2cfkrz/H513ao5ydHer4jmC7QibKmOt5Tk4OFP/+kP0mqVSqMT5tUlISXF1d+ceurq64d+9egfflO3r0KFq3bs2/t2LFihrvTUpK0kXxi0QdV0IIMSElveZy4OxlsLK0xJqJI9G+cQOcvXFHzyU0DicjbuJkRIDGc8uD9/N/+85covW9e06cwZ4TZwp9rZ3fJN0UkBBidPQ11Fbo5evYeiQU5zYsE3DtiKG4e/cuIiMjCzzfrFkzNG/evFTzDA0Nxf3797FixYoylq5sqOMqsOzsbNjZ2QldDLNCmbNHmZdNSa+57DdtgcY1l+0a1XvjveURfjtK4305ubk4fvkaPvJqQR1XYlSobWGPMi89fQ21de3+I4ZrYR6MuZ43aNAAtWrVKvD823dJdnFx4U/9BYDExES4uLgUeF9ERASCg4OxYsUKfh4uLi4anePExEQ0a9ZMNytQBLrGVWCOjo5CF8HsUObsUeZlo49rLm2trVCxfDkAgEQsRlfPZnj4Ip7pehFSVtS2sEeZl15hl328PVzWm0o61BbRHWOu51ZWVnBwcCjw783ThAGgXr16iI2NRXx8PHJzcxEWFoZ27dppTPPgwQOsXLkS8+bNQ/ny/9U3T09PREREID09Henp6YiIiICnp6fe142OuAosPT0dFSpUePeERGcoc/Yo87LRxzWXLuUcsXXaBEgtLSAWiRF+6x52Hjsp5GoSUmLUtrBHmbNRmqG2iO6YQz2XSCQYO3YsJk+eDLVajZ49e6J69erYunUr6tati3bt2mHTpk2Qy+WYO3cuAKBixYqYP38+HB0d8fXXX2P06NEAgEGDBjHp7FPHVWAikUjoIpgdypw9yrzsdH3NZVJqGnpNmq3TMhLCGrUt7FHmpafvyz6I7phLPffy8oKXl5fGc0OHDuX/XrZM+3XTPXv2RM+ePfVWtsLQqcICM9bz540ZZc4eZU4I0QdqW9ijzEtPn0NtEd2iem6Y6IirwNLT0+Hs7PzuCYnOUObsUebEUMUe2gEASMxKxpkXZRuDTiaTlbmed3yvFVxtTfv0NF2itoU9yrz09DXU1rTBX+Gzjm1hYyXF1V9WITj0NFbsPiDYepoCqueGiTquArOxsRG6CGaHMmePMifmgOo5e5Q5e5R52ehjqK0F2/dgwfY9uiskoXpuoOhUYYGp1Wqhi2B2KHP2KHNiDqies0eZs0eZE3NA9dwwUcdVYDk5OUIXwexQ5uxR5sQcUD1njzJnjzIn5oDquWGijqvAypUrJ3QRzA5lzh5lTswB1XP2KHP2KHNiDqieGyZm17hevnwZ69atg1qtho+PD/r376/xukKhwJIlS3D//n04OjpixowZqFSpEqviCSY1NZUu/maMMmePMi8eulGQcaN6zh5lzh5lTswB1XPDxOSIq0qlwurVq7Fo0SJs2bIFJ0+exNOnTzWmOXr0KOzt7bFz507069cPP//8M4uiCU4ikQhdBLNDmbNHmbNHmbNHmbNHmbNHmRNzQPXcMDHpuEZFRcHDwwPu7u6wtLREly5dEB4erjFNeHg4unfvDgDo1KkTrl27Bo7jWBRPUHTXMvYoc/Yoc/Yoc/Yoc/Yoc/Yoc2IOqJ4bJianCiclJcHV1ZV/7Orqinv37hWYpmLFigDyfuWws7NDWlpagXPMc3JyoFAoCixDKpXCyspKD6XXr4yMDKMstzGjzNmjzNmjzNmjzNmjzNmjzIuHLv0wblTPDZPRjeN69+5dREZGFni+WbNmaN68OdOyuNpWQL86H5X6/Tk5ObibeRcNqjWgD0cxUebsUebsUebsUebsUebsUebsUebsUeami0nH1cXFBYmJifzjxMREuLi4FJjm1atXcHV1hUqlQmZmJhwdHQvMq0GDBqhVq1aB56VSqe4LrmcKhQKRkZGoVasWfTAYoczZo8zZo8zZo8zZo8zZo8zZo8zZo8wNF5NrXOvVq4fY2FjEx8cjNzcXYWFhaNeuncY0bdu2xfHjxwEAp0+fRvPmzSESiQrMy8rKCg4ODgX+UcUihBBCCCGEENPEpOMqkUgwduxYTJ48GUOHDkXnzp1RvXp1bN26lb9Jk4+PD9LS0jBo0CD88ccfGDZsGIuiEUIIIYQQQggxcMyucfXy8oKXl5fGc0OHDuX/lkqlmDVrFqviEEIIIYQQQggxEkyOuBJCCCGEEEIIIaVFHVcBSaVSNGvWzChvLGWsKHP2KHP2KHP2KHP2KHP2KHP2KHP2KHPDJeI4jhO6EIQQQgghhBBCiDZ0xJUQQgghhBBCiEGjjishhBBCCCGEEINGHVdCCCGEEEIIIQaN2XA4xuzly5cYOnQoqlSpgk2bNgEALl++jHXr1kGtVsPHxwf9+/cvch579+5FSEgIJBIJnJyc4O/vDzc3NwBAUFAQLl26BI7j0LJlS4wZMwYikQj379/H0qVLkZOTAy8vL/55ADhw4AAOHToEsVgMLy8v+Pn54fHjx9i7dy8mT56s30DK6O08X716hcWLF+P169cQiUTo1asX+vXrBwB4+PAhVq1aBYVCAYlEgvHjx6NevXrgOA7r1q3DpUuXYGVlhYCAANSpUwcAkJCQgB9//BGJiYkAgEWLFqFSpUpay3Ps2DFs2rQJLi4uAIBPP/0UvXr14pedlZUFsViMgQMHokuXLhrvXbt2LY4ePYojR44A0L6dU1JSsHjxYixevFjneRZHYXV4wIABsLW1hVgshkQiwYYNGwDk1ccLFy7AwsIC7u7uCAgIgL29PT+vhIQEfPvttxg8eDC+/PLLIrefNnv27MGJEycAACqVCjExMdi3bx8cHR2xb98+hISEgOM4jXmdPn0a27dvR0xMDNatW4e6desCAP755x/8/vvv/LwfP36MjRs3olatWvD398fMmTPh4OCguzC1eDvj58+fY968efzr8fHxGDJkCPr164dHjx5h5cqVyM7OhpubGwIDA2FnZ4fU1FTMmTMH0dHR+OijjzBu3DgAQFZWFn744Qd+XomJifjwww8xZswYreXRNi8AWtuWrVu34vz58xCLxXByckJAQABcXFwQGRmJmTNn8p8jb29vfPPNNwCAZcuW4eLFi3BycsIvv/zCL2Pjxo3w8vJC8+bNdZJvvsLqsrYypKWlYd68eUhISICbmxtfF86fP4+tW7fydX/06NFo3LgxAKBbt26oUaMGAKBixYqYP38+AODgwYPYt28f4uLisH//fpQrV+6dZZ0yZQru3r2LRo0aYeHChfzzCxcuRHR0NCwsLFCvXj1MmDABFhYWReas7fOqrY28cOECoqKiNIadK62SZK6t/XhzHgBQv359TJgwAQAwceJEyGQyWFlZAQCWLFmC8uXLIyEhAUuWLEFmZiZUKhWGDx9eYFi9t2krV77ff/8dQUFB/DZMT0/HsmXLEBcXB6lUCn9/f9SoUeOd7Zq+98ElyZzFuhVFW7nmzZuH58+fAwAyMjJgb2+PTZs24erVq9i8eTOUSiUsLCzg5+fHtxMlbZuEqucs1q0o2tqW69evY+PGjVAqlahduzb8/f0hkUj416OiojB27FhMnz4dnTp1wvXr1/m2BABiYmIwffp0eHt7g+M4bNmyBadPn4ZEIsEnn3yCvn37Cpa5tv1mvre/mxS1DwZKVs+L+sxoa/OK2gfn5uZizZo1iIyMhFgsxrfffouOHTsiISEBy5YtQ0pKChwdHTF16lS4uroiLi4Os2fPRmxsLP9902xx5J3i4+O5b7/9ln+sVCq5gQMHcrGxsZxCoeCGDRvGPXnypMh5XLt2jZPL5RzHcdyhQ4e4uXPnchzHcbdv3+bGjh3LKZVKTqlUcmPGjOGuX7/OcRzHjRo1irtz5w6nVqu5yZMncxcvXuTnNWnSJC4nJ4fjOI5LTk7mlzNp0iTu5cuXulp1vXg7z6SkJC46OprjOI7LzMzkBg0axOfp7+/Pr/fFixe5CRMm8H9PnjyZU6vV3J07d7jRo0fz85swYQJ35coVjuM4Lisri89dm6NHj3I//fRTgedjYmK458+fcxzHcYmJidznn3/Opaen869HRUVxCxcu5Hx8fPjntG1njuO4JUuWcLdu3XpHOvrxduYcx3H9+/fnUlJSCkx75coVTqlUchzHcUFBQVxQUJDG67NmzeJmz57N7dmzh+O4ordfcZw/f56bOHEix3Ec9/jxY+7bb7/l5HI5p1QquUmTJnEvXrzgOI7jnj59ysXExHATJkzgoqKiCp3Xo0ePuIEDB/KPjx07xv3666/FLktZFJZxPqVSyfXr14//bI4aNYqLjIzkOI7jQkJCuC1btnAcl1dfb968yR0+fLjQOpnPz8+Pu3HjRpHlKWpe2tqWjIwMfpp9+/ZxK1as4DiO465fv85NnTq10OXcuHGDi46OLrDuL1++5Pz9/YssY2kUlrO2MmzcuJELDg7mOI7jgoOD+bqclZXFqdVqjuM47uHDh9zgwYP597z5eX7T/fv3ufj4eK2fm8JERERw58+fL5DdxYsXObVazanVam7evHncoUOHOI4rOmdty9XWRqrVam7EiBHvbP+KoySZa2s/ivp8aPtM//jjj3w2T5484fr37//OsmorF8dxXEJCAhcQEMD5+vryWW7cuJHbvn07x3Ec9+zZM+5///sfx3FFt2ss9sElyZzVumlTVLnyrV+/ni/L/fv3ucTERI7j8tr8L774gp+upG2TUPWcxboVpbC2RaVScV999RUXExPDcRzHbdmyhTty5Aj/ulKp5CZOnMhNmTKFO3XqVIF5pqamcp9++imf5dGjR7lFixZxKpWK47j/6oJQmWvbb+Z7+7vJm97eB5e0nhf1mdHW5hW1D966dSv3yy+/cByXt93yP7OzZ8/mjh07xpdx4cKFGu/Ttn8yJ3SqcClERUXBw8MD7u7usLS0RJcuXRAeHl7ke5o3bw5ra2sAeb805x8NBACFQgGlUonc3FyoVCqUL18eMpkMWVlZaNCgAUQiEbp3747z588DAP7880/4+vryt+kuX748P682bdogLCxM16usV87OzvzRUltbW1SrVg1JSUkAAJFIhKysLABAZmYmnJ2dAQDnz59H9+7dIRKJ0KBBA2RkZEAmk+Hp06dQqVTw9PQEANjY2PC5l1SVKlXw3nvvAQBcXFzg5OSElJQUAHlHCYOCgjBixAiN9xS1ndu3b88fZTRknp6e/C+0DRo04LcFAJw7dw6VK1dG9erV+eeK2n7FERYWhg8++ABA3q+99erVg7W1NSQSCZo0aYKzZ88CAKpVq8YfrdHm5MmTGkfF27Vrh5MnTxa7LPpy/fp1uLu782dZvHjxAk2aNAEAtGzZEmfOnAGQV18bN24MS0tLrfN6/vw5UlJS+COE2mibV1Fty5u/XmdnZ/NneBSlSZMmcHR0LPC8m5sb0tLSkJyc/M55lJW2MoSHh6N79+4AoLGeNjY2/LoVdz1r165d5JkbhWnRogVsbW0LPO/l5QWRSASRSIR69epptBMlpa2NFIlEaNq0KS5evFjqeRdFW+ZFtR+lkZmZyf+fv26lKRcArF+/HiNGjNDY3s+ePUOzZs0AAFWrVsXLly+RnJxcZLsm1D5Y6HUrTbkAgOM4nD59mm/na9euzR9RrF69OhQKBRQKRanaJqHqOYt1K0phbUtaWhosLCz4/WTLli35/SeQd9ZIhw4d4OTkVOg8z5w5g9atW/PfYQ4fPoxBgwZBLM7rKuTXBaEy17bfBAr/bvKmt/fBJa3nRX1mtLV5Re3Pjx07xp+pKRaL+TN4nj17xh+hb9as2Tv7FuaIOq6lkJSUBFdXV/6xq6triXbOR48eRevWrQEADRs2RLNmzfDFF1/gyy+/hKenJ/+BeHMZLi4u/DJevHiBW7duYcyYMZgwYQKioqL46erWrYtbt26VdRUF8/LlSzx8+BD169cHAIwePRqbNm2Cr68vNm7ciGHDhgHQvg1evHgBOzs7zJo1C35+fggKCoJKpXrncs+ePYthw4Zh9uzZePXqVYHXo6KioFQq4e7uDiBvB9CuXbsiv0i9uZ0BoE6dOga1bUQiEQICAjBy5Ej89ddfhU5z9OhRtGrVCgAgl8uxe/du/tTFwry9/d4lOzsbV65cQYcOHQDk7ehv3bqF1NRUZGdn49KlSyX6Un/q1Cn+CwQAODg4IDc3F6mpqcWehz682TkH8jrh+V9aTp8+XaJ1DAsLQ+fOnYv15aYwRbUtAPDLL7/A19cXJ06cwJAhQ/jn7969i+HDh2PKlCl4+vRpsZZVu3Zt3L59u1Tl1IXXr1/zn9EKFSrg9evX/Gvnzp3DkCFDMG3aNEyaNIl/XqFQYNSoUfj+++9x7tw5vZZPqVQiNDSU/4wB2nPW9nnV1kYCwrc5b7YfQF774OfnhwkTJuDmzZsa0y5btgwjRozAzp07wf07St/gwYNx4sQJfPXVVwgMDMTYsWNLXZbz58/DxcUFNWvW1Hj+/fff57dzVFQUEhISCuzP327XDG0fzGrdSuvWrVsoX748/0Pwm86cOYPatWtDKpWWum0Ssp7re91Koly5clCpVIiOjuaXn79vSUxMxLlz59C7d2+t7w8LC9P44TcuLg6nTp3CqFGjMGXKFLx48YJ/TYjMte03i/Pd5O19cFnqeVHfc95u8wqTkZEBANi6dSv8/PwwZ84c/gfemjVr8j82nDt3DllZWYJ/fzE01HFlLDQ0FPfv38eXX34JAIiNjUVMTAz27NmDPXv24Pr16wV26G9TqVRIT0/H2rVr4efnh3nz5vE7eicnJ8hkMr2vhz7I5XLMnj0bo0eP5n+B/PPPPzFq1Cjs3r0bo0ePxvLly4uch0qlwu3bt+Hn54f169cjPj4ef//9d5Hvadu2LX777Tds3rwZLVu2xJIlSzRel8lkWLRoEfz9/SEWi5GUlIQzZ87gs88+0zrPt7czkPeLXlmPPujSqlWrEBQUhEWLFuHQoUMF6t1vv/0GiUSCDz/8EACwfft2fP7557CxsSl0foVtv3e5cOECGjZsyP+6Wq1aNfj6+mLy5MmYMmUKatWqxf/a+y737t2DtbU1f31iPqE/E7m5uQgPD0fHjh355/z9/XH48GGMHDkScrkcFhbFv93A2ztgXfvuu++we/dudO3aFQcPHgSQ1wHdtWsXfv75Z3z22WeYOXNmseYldPZvyj/Cmc/b2xvbtm3D3LlzsW3bNv754OBgbNiwAYGBgVi/fj3i4uL0VqaffvoJTZo04Y8iFJWzts9rUW2kkPm/3X5UqFABwcHBCAoKwqhRo7Bw4UL+aOrUqVOxefNmrFq1Crdu3UJoaCiAvDMounfvjj179mDhwoVYtGgR1Gp1icuSnZ2N4ODgQjsE/fv3R0ZGBkaMGIEDBw6gdu3aGm1OYe2aIe2DWa5bab19Jky+p0+f4ueff+avdX6XwtomQNh6ru91KwmRSITp06dj/fr1GD16NH9NPJB3RH748OFa96cymQxPnjzR6HTl5ubC0tISGzZsQK9evbBs2TL+NSEy17bffNd3k8L2waWt50V9z3m7zdNGpVIhMTERDRs2RFBQEBo0aICgoCAAgJ+fH27evAk/Pz/cuHEDLi4uGtcoE+q4loqLi4vGEZLExMR3XkgPABEREQgODsa8efP40xPOnTuH+vXrw8bGBjY2NmjdujXu3r1bYBlJSUn8MlxdXeHt7c2fZiYSifhfZBQKBX+DC2OiVCoxe/ZsdO3alT/6BgDHjx/nH3fq1In/VUzbNnB1dUXNmjXh7u4OiUSC9u3b48GDB0Uuu1y5cvz28PHx0Zg+MzMTgYGB+Pbbb9GgQQMAeTdDiY2NxaBBgzBgwADk5ORg0KBB/HsK286A4W2b/F9/y5cvD29vb41fHI8dO4YLFy4gMDCQ/7J/7949bNq0CQMGDMC+ffsQHBzM72C1bb93KawT5uPjg40bN2LVqlWwt7cv9JdsbfMq7AuE0LlfvnwZtWvXRoUKFfjnqlatiqVLl2Ljxo3o0qULfyT/XR49egSVSsWfslQaRbUtb+ratSv/y6+dnR3/pcDLywtKpbJYvwIrFAqNzwBr+ZddAHlfzAo7Ra5JkyaIj4/n1yf/c+Hu7o6mTZu+s/0orR07diAlJQWjRo3inysqZ22fV21tJCBc/oW1H1KplD8drk6dOnB3d+eP4OSvm62tLT744AN+HY4ePYrOnTsDyDs7qbRnT8TFxeHly5cYMWIEBgwYgMTERIwcORLJycmws7NDQEAANm3ahClTpiAlJQWVK1cGoL1dM6R9MMt1Kw2VSoWzZ88WaJsTExMxc+ZMTJkyhW//StM2AcLVcxbrVlINGzbETz/9hPXr16NJkyb8/vP+/fuYP38+BgwYgDNnzmD16tUaZ5ScOnUK3t7eGj+iurq68nXD29sbT5484V8TInNt+82ivpsAhe+DS1PPi/qeU1ibp42joyOsra012u38/YyLiwvmzJmDoKAgfPfddwCgcXNMQh3XUqlXrx5iY2MRHx+P3NxchIWFoV27dgCAzZs3F3p62YMHD7By5UrMmzdP41z6ihUr4ubNm1CpVFAqlbh58yaqVq0KZ2dn2Nra4u7du+A4DsePH0f79u0B5F0rGRkZCSDvejelUsl/IXjx4oXWc/wNFcdxWL58OapWrYovvvhC4zVnZ2fcuHEDQN41Ch4eHgDyrl08fvw4OI7D3bt3YWdnB2dnZ9StWxcZGRn8tajXr19HtWrVAGjfNm/+anjhwgVUrVoVQN6vdLNmzUL37t3RqVMnfpo2bdrgjz/+QHBwMIKDg2FlZYWdO3cC0L6dgbxt8/bRQKHI5XL+uji5XI6rV6/y9eby5cvYs2cP5s+fr3F98E8//cSvc79+/TBgwAD06dOnyO138OBBrb8eZ2Rk4ObNm/xnJ1/+6ZwJCQk4d+4cunbt+s71UavVOHXqVIEvEBzHITk5ucTXJurSyZMnC3TO89dRrVbjt99+wyeffFLqeZ07dw6bN28udnmKalvePBUsPDycv1YqOTmZ/zU6KioKHMcVed1XPqHrfH47AeR18PLrWmxsLL8+9+/fh0KhgKOjI9LT06FQKADk3ZX5zp07fPuhTVRUVInvFn7kyBFcuXIF06dP1zgCoi3noj6v2tpIQJj8tbUfKSkp/GUbcXFxePHiBSpXrgyVSsV/YVQqlbh48aLGXZ2vXbsGIO/aL4VCAScnJyQmJmqc3v0u77//Pv+FNjg4GK6urti4cSMqVKiAjIwM5ObmAgBCQkLQpEkT2NnZFdmuGdI+mNW6lTTzfBEREahatarGabIZGRkIDAzE8OHD0ahRI/750rRN+a8J0c7oe91K07bk71sUCgV2797N71t+++03vo507NgR48aNg7e3N/++wn74fbMu3LhxQ+NHZCEy17bf1PbdJF9h+82S1vOiPjPa2jxtRCIR2rRpw7fb165d4/czqamp/FklwcHB6NGjRzGSMS80HE4pSCQSjB07FpMnT4ZarUbPnj35HdXjx4/Rtm3bAu/ZtGkT5HI55s6dC+C/YRY6duyI69ev89cltWrViv9yNX78eP7W6a1bt+avl+zRoweWLVuG7777DhYWFpg8eTL/C09kZOQ7hwswNLdv30ZoaChq1KjB3+zou+++g5eXFyZOnIh169ZBpVJBKpVi4sSJAPKORly6dAmDBg2CtbU1/P39AeRtGz8/P77hqV27Nnr16gVA+7Y5cOAAwsPDIZFI4ODggICAAAB5v0DevHkTaWlp/OnGAQEBqFWrltZ10badAcPaNq9fv8asWbMA5P1q3LVrV75+rVmzBrm5uXwObw5bUZiitl9MTIzGzvtN586dQ8uWLQuc3jN79mz+JhPjxo3jf208d+4c1qxZg9TUVAQGBqJWrVr8ad03b95ExYoVCxy5vH//Pho0aCDYqTZyuRwREREF8jt58iQOHToEAOjQoYPGzmnAgAHIyspCbm4uzp8/jyVLlvDty+nTpzWGPgDyOgGF3QCoqHlpa1s2b96M58+fQyQSwc3NjR+C58yZMzh8+DAkEgmsrKwwffp0vs2ZP38+bty4gdTUVHz11VcYPHgwfHx8oFQqERcXxw9bpE/ayuDr64t58+bh6NGjcHNzw4wZM/j1CQ0NhYWFBaRSKWbMmAGRSISYmBisXLkSIpEIHMfB19eXz37//v3Ys2cPkpOTMXz4cLRu3RqTJk1CQkKC1iMP48ePx/PnzyGXy/HVV19h0qRJaNWqFVatWgU3Nzf+ms38YW+05VzU51VbGwnktTlvXvPKInNt7cfNmzexbds2WFhYQCQS4YcffuA75ZMnT4ZSqYRarUaLFi3g4+MDABg5ciRWrFiBffv28df4ikQiJCcna/1MayuXNs+ePcOSJUsgEolQvXp1ft9RVLsm1D5YyHUrbeaFnVVz8OBBxMXFYefOnfyPvvlDIJW0bQKEqecs1q00bcvvv/+OixcvQq1Wo3fv3sUajuzly5d49eoVmjZtqvF8//79sXDhQuzbtw/W1tb43//+x78mROZF7Te10bYPLmk9L+ozU9R3Jm374BEjRmDRokVYt24dP3QikJdr/hBATZo00RhCh/yL3Q2MjVdRt/F/W0BAgJ5Lo11OTg43ZswY/rbchqokeeqSkNuG4zhu/PjxXFpamiDLFirzqVOncgqFgvly861Zs4aLiIhgsiyhMl6wYAH3+vVr5st9l7NnzxYYrkAXhMpZm40bN3IPHz4UuhgFyGQyfviTsjK0zA8cOMCdP39e6GIUoMt9MGVePKZcz6ltYc9Q63k+Gg6HhsMpFrFYjMzMzAJDnxTm7Rv7sPTq1SsMGzbM4C/kLkmeuiTktklJScHnn38OBwcHQZYvVOYLFy4scmgXfatRowZatGjBZFlCZRwYGKh1eAMhqVSqAqdU6YJQOWvj5+dX4G6uhuDVq1cYOXKkTuZlaJn36dOnwCUGhkCX+2DKvHhMuZ5T28KeodbzuLg4jBgxoljDU5k6EceV8XZxhBBCCCGEEEKIHtERV0IIIYQQQgghBo06roQQQgghhBBCDBp1XAkhhBBCCCGEGDTquBJCCDE7vXr1wqVLlwRb/syZM7Fu3Tqtr9etWxfPnj1jWCJCCCHEsNHNmQghhJitNWvW4NmzZ1i+fLnQRdFQt25dHD9+nB+YnhBCCDF3dMSVEEIIIYQQQohBo44rIYQQs/PBBx8gLCwMQUFBOHr0KJo3b47evXsDANLT0xEYGAhvb2906NABK1euhEqlAgDs378fvr6+WLhwITw9PdG1a1dcu3YN+/fvR6dOndC2bVscOHDgncufMmUKVq5cyT/evHkzvL294e3tjT/++EM/K00IIYQYMeq4EkIIMUtWVlbw8/NDz549cf36dRw+fBhAXqfSwsICx48fx8GDB3H+/Hns3buXf9/NmzdRt25dXLp0CR9//DEmTpyIW7duITQ0FMuWLcPcuXORmZlZ7HKcOXMGW7ZswZYtW3D8+HFcuHBB5+tKCCGEGDvquBJCCCH/SkpKwunTpxEYGAhbW1s4OztjyJAhOHLkCD/Ne++9h379+kEikcDHxwfx8fEYM2YMpFIpvL29IZVKERMTU+xlHj16FH379kWdOnVga2uL77//Xh+rRgghhBg1C6ELQAghhBiKuLg4KJVKeHt788+p1WpUrlyZf+zs7Mz/bW1tDQBwcXHhn7OysirREddXr16hUaNG/GMPD49SlZ0QQggxZdRxJYQQYrZEIpHG40qVKkEqleLixYuwsGCzi6xYsSLi4+P5x3FxcUyWSwghhBgTOlWYEEKI2XJ2dkZsbCzUajWAvE5k+/btsXjxYmRkZECtViMmJgaXL1/WWxl69OiBAwcO4OHDh5DL5Vi7dq3elkUIIYQYK+q4EkIIMVs9evQAAHh5eeGzzz4DACxduhS5ubnw8fFBq1atMG7cOCQmJuqtDJ06dcLgwYMxePBgdOvWDW3atNHbsgghhBBjJeI4jhO6EIQQQgghhBBCiDZ0xJUQQgghhBBCiEGjmzMRQgghetCrV69Cb7Q0Z84c9O7dW4ASEUIIIcaLThUmhBBCCCGEEGLQ6FRhQgghhBBCCCEGjTquhBBCCCGEEEIMGnVcCSGEEEIIIYQYNOq4EkIIIYQQQggxaNRxJYQQQgghhBBi0P4PgvcbBop7+k4AAAAASUVORK5CYII=\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"> **Lower item id's have better average item count per month confirming our inference from shap plot.**","metadata":{}},{"cell_type":"code","source":"info_plots.actual_plot(lgbrEstimator,x_cv_lgbm,feature='item_id',feature_name='item_id');","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:48:27.199681Z","iopub.execute_input":"2022-06-02T09:48:27.200123Z","iopub.status.idle":"2022-06-02T09:48:32.387902Z","shell.execute_reply.started":"2022-06-02T09:48:27.200073Z","shell.execute_reply":"2022-06-02T09:48:32.386930Z"},"trusted":true},"execution_count":63,"outputs":[{"name":"stderr","text":"\nA value is trying to be set on a copy of a slice from a DataFrame.\nTry using .loc[row_indexer,col_indexer] = value instead\n\nSee the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"The pattern of predictions is maintained i.e compared with other item id's 2708-4838 item id's have more items sold. But the predicted count varies significantly from actual count.","metadata":{}},{"cell_type":"code","source":"salesA=salesDF[(salesDF['item_id']>2708)&(salesDF['item_id']<7917)]['item_cnt_day'].sum()\nsalesB=salesDF[(salesDF['item_id']<2708)|(salesDF['item_id']>7917)]['item_cnt_day'].sum()\nsalesValues=[salesA,salesB]\nsalesNames=['item ids 2708-7917','other item ids']\nfig=px.pie(names=salesNames,values=salesValues,title='Item ids 2708-7917 account for 33% of sales')\nfig.update_layout(margin=dict(l=0,r=0,b=0),showlegend=False)\nfig.update_traces(textinfo='label+percent')\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:53:45.789848Z","iopub.execute_input":"2022-06-02T09:53:45.790815Z","iopub.status.idle":"2022-06-02T09:53:46.990304Z","shell.execute_reply.started":"2022-06-02T09:53:45.790761Z","shell.execute_reply":"2022-06-02T09:53:46.988982Z"},"trusted":true},"execution_count":64,"outputs":[{"output_type":"display_data","data":{"application/vnd.plotly.v1+json":{"config":{"plotlyServerURL":"https://plot.ly"},"data":[{"domain":{"x":[0,1],"y":[0,1]},"hovertemplate":"label=%{label}
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"},"metadata":{}}]},{"cell_type":"code","source":"ax1=info_plots.target_plot(df=df2[(df2['date_block_num']>=10) & (df2['date_block_num']<19)],feature='date_block_num',feature_name='month',target='item_cnt_month')\nax2=info_plots.target_plot(df=df2[(df2['date_block_num']>=19) & (df2['date_block_num']<28)],feature='date_block_num',feature_name='month',target='item_cnt_month')\nax2=info_plots.target_plot(df=df2[df2['date_block_num']>=28],feature='date_block_num',feature_name='month',target='item_cnt_month')","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:53:50.699747Z","iopub.execute_input":"2022-06-02T09:53:50.700001Z","iopub.status.idle":"2022-06-02T09:53:57.390522Z","shell.execute_reply.started":"2022-06-02T09:53:50.699973Z","shell.execute_reply":"2022-06-02T09:53:57.389255Z"},"trusted":true},"execution_count":65,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"# XGBOOST","metadata":{}},{"cell_type":"code","source":"xgbBaseline=xgb.XGBRegressor(objective='reg:squaredlogerror',\n eval_metric='rmse',\n booster='gbtree',\n n_estimators=200)\nxgbBaseline.fit(x_train_baseline,y_train_baseline)\npredXgbBaseline=xgbBaseline.predict(x_cv)\nprint(mean_squared_error(predXgbBaseline,y_cv))","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:54:36.220588Z","iopub.execute_input":"2022-06-02T09:54:36.220892Z","iopub.status.idle":"2022-06-02T09:57:21.922029Z","shell.execute_reply.started":"2022-06-02T09:54:36.220862Z","shell.execute_reply":"2022-06-02T09:57:21.920921Z"},"trusted":true},"execution_count":66,"outputs":[{"name":"stdout","text":"0.89054406\n","output_type":"stream"}]},{"cell_type":"code","source":"featureImportanceXgbDF=pd.DataFrame(sorted(zip(xgbBaseline.feature_importances_,x_train_baseline.columns)),columns=['values','features'])\nfeaturesXgb=featureImportanceXgbDF[featureImportanceXgbDF['values']>=featureImportanceXgbDF['values'].median()]['features']\nsns.barplot(x='values',y='features',data=featureImportanceXgbDF[-15:])","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:57:21.923556Z","iopub.execute_input":"2022-06-02T09:57:21.923799Z","iopub.status.idle":"2022-06-02T09:57:22.476949Z","shell.execute_reply.started":"2022-06-02T09:57:21.923771Z","shell.execute_reply":"2022-06-02T09:57:22.475954Z"},"trusted":true},"execution_count":67,"outputs":[{"execution_count":67,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"code","source":"x_train_xgb=x_train[featuresXgb]\nx_cv_xgb=x_cv[featuresXgb]\nx_test_xgb=x_test[featuresXgb]","metadata":{"execution":{"iopub.status.busy":"2022-06-02T09:58:59.640687Z","iopub.execute_input":"2022-06-02T09:58:59.641592Z","iopub.status.idle":"2022-06-02T09:59:01.301619Z","shell.execute_reply.started":"2022-06-02T09:58:59.641546Z","shell.execute_reply":"2022-06-02T09:59:01.300796Z"},"trusted":true},"execution_count":68,"outputs":[]},{"cell_type":"code","source":"def optimize(trial):\n params={\n 'objective':'reg:squaredlogerror',\n 'eval_metric':'rmse',\n 'booster':'gbtree',\n 'alpha':trial.suggest_loguniform('alpha',1,20),\n 'lambda':trial.suggest_loguniform('lambda',1,20),\n 'max_depth':trial.suggest_int('max_depth',1,10),\n 'learning_rate':trial.suggest_uniform('learning_rate',0.001,1),\n 'subsample':trial.suggest_uniform('subsample',0.5,1),\n 'n_estimators':trial.suggest_int('n_estimators',10,300)\n }\n model=xgb.XGBRegressor(**params)\n model.fit(x_train_xgb,y_train,eval_set=[(x_cv_xgb,y_cv)],early_stopping_rounds=30)\n pred=model.predict(x_cv_xgb)\n rmse=mean_squared_error(pred,y_cv)\n return rmse\nstudy=optuna.create_study(direction='minimize')\nstudy.optimize(optimize,n_trials=10)\nprint(study.best_trial.params)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"xgbBestParams=study.best_trial.params\nxgbBestParams.update({'objective':'reg:squaredlogerror',\n 'eval_metric':'rmse',\n 'booster':'gbtree'})","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:00:00.479862Z","iopub.execute_input":"2022-06-02T11:00:00.480487Z","iopub.status.idle":"2022-06-02T11:00:00.486485Z","shell.execute_reply.started":"2022-06-02T11:00:00.480443Z","shell.execute_reply":"2022-06-02T11:00:00.485646Z"},"trusted":true},"execution_count":70,"outputs":[]},{"cell_type":"code","source":"#xgbReg=xgb.XGBRegressor(**study.best_trial.params)\nxgbReg=xgb.XGBRegressor(**xgbBestParams)\nxgbReg.fit(x_train_xgb,y_train)\npredXgbCV=xgbReg.predict(x_cv_xgb)\nprint(mean_squared_error(predXgbCV,y_cv))\npredXgbTest=xgbReg.predict(x_test_xgb)\npredXgbTest=predXgbTest.clip(0,20)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:00:04.147936Z","iopub.execute_input":"2022-06-02T11:00:04.148809Z","iopub.status.idle":"2022-06-02T11:31:24.076272Z","shell.execute_reply.started":"2022-06-02T11:00:04.148750Z","shell.execute_reply":"2022-06-02T11:31:24.075533Z"},"trusted":true},"execution_count":71,"outputs":[{"name":"stdout","text":"0.9194968\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### CATBOOST","metadata":{}},{"cell_type":"code","source":"catboostBaseline=CatBoostRegressor(eval_metric='RMSE',\n loss_function='RMSE',\n iterations=500)\ncatboostBaseline.fit(x_train_baseline,y_train_baseline.astype('float'),early_stopping_rounds=50,verbose=50)\npredCatBoostBaseline=xgbBaseline.predict(x_cv)\nprint(mean_squared_error(predCatBoostBaseline,y_cv))","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:43:50.920540Z","iopub.execute_input":"2022-06-02T11:43:50.921223Z","iopub.status.idle":"2022-06-02T11:44:36.158513Z","shell.execute_reply.started":"2022-06-02T11:43:50.921141Z","shell.execute_reply":"2022-06-02T11:44:36.157404Z"},"trusted":true},"execution_count":75,"outputs":[{"name":"stdout","text":"Learning rate set to 0.209585\n0:\tlearn: 1.1236477\ttotal: 118ms\tremaining: 59.1s\n50:\tlearn: 0.8915859\ttotal: 3.97s\tremaining: 35s\n100:\tlearn: 0.8722246\ttotal: 7.66s\tremaining: 30.3s\n150:\tlearn: 0.8596855\ttotal: 11.7s\tremaining: 27.1s\n200:\tlearn: 0.8500771\ttotal: 15.4s\tremaining: 22.9s\n250:\tlearn: 0.8416014\ttotal: 19.1s\tremaining: 19s\n300:\tlearn: 0.8335103\ttotal: 23s\tremaining: 15.2s\n350:\tlearn: 0.8260545\ttotal: 26.8s\tremaining: 11.4s\n400:\tlearn: 0.8202651\ttotal: 30.6s\tremaining: 7.56s\n450:\tlearn: 0.8137624\ttotal: 34.4s\tremaining: 3.73s\n499:\tlearn: 0.8088961\ttotal: 38.1s\tremaining: 0us\n0.89054406\n","output_type":"stream"}]},{"cell_type":"code","source":"featureImportanceCatBoostDF=pd.DataFrame(sorted(zip(catboostBaseline.feature_importances_,x_train_baseline.columns)),columns=['values','features'])\nfeaturesCatBoost=featureImportanceCatBoostDF[featureImportanceCatBoostDF['values']>=featureImportanceCatBoostDF['values'].median()]['features']\nsns.barplot(x='values',y='features',data=featureImportanceCatBoostDF[-15:])","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:45:10.307078Z","iopub.execute_input":"2022-06-02T11:45:10.307491Z","iopub.status.idle":"2022-06-02T11:45:10.690995Z","shell.execute_reply.started":"2022-06-02T11:45:10.307448Z","shell.execute_reply":"2022-06-02T11:45:10.690111Z"},"trusted":true},"execution_count":76,"outputs":[{"execution_count":76,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"cell_type":"code","source":"x_train_cat=x_train[featuresCatBoost]\nx_cv_cat=x_cv[featuresCatBoost]\nx_test_cat=x_test[featuresCatBoost]","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:45:44.627131Z","iopub.execute_input":"2022-06-02T11:45:44.627419Z","iopub.status.idle":"2022-06-02T11:45:45.296317Z","shell.execute_reply.started":"2022-06-02T11:45:44.627390Z","shell.execute_reply":"2022-06-02T11:45:45.295246Z"},"trusted":true},"execution_count":77,"outputs":[]},{"cell_type":"code","source":"def optimize(trial):\n params={\n 'depth': trial.suggest_int('depth', 4, 8),\n 'min_data_in_leaf': trial.suggest_int('min_data_in_leaf',10,100),\n 'eval_metric':'RMSE',\n 'loss_function':'RMSE',\n 'l2_leaf_reg': trial.suggest_int('l2_leaf_reg',5,20),\n 'colsample_bylevel':trial.suggest_uniform('colsample_bylevel',0.5,1),\n 'learning_rate':trial.suggest_uniform('learning_rate',0.0001,1),\n 'subsample':trial.suggest_uniform('subsample',0.5,1),\n 'iterations':trial.suggest_int('iterations',100,1000)\n }\n model=CatBoostRegressor(**params)\n model.fit(x_train_cat,y_train.astype('float'),eval_set=[(x_cv_cat,y_cv.astype('float'))],early_stopping_rounds=30,verbose=100)\n pred=model.predict(x_cv_cat)\n rmse=mean_squared_error(pred,y_cv.astype('float'))\n return rmse\nstudy=optuna.create_study(direction='minimize')\nstudy.optimize(optimize,n_trials=10)\nprint(study.best_trial.params)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T11:46:04.397604Z","iopub.execute_input":"2022-06-02T11:46:04.397878Z","iopub.status.idle":"2022-06-02T12:02:15.525602Z","shell.execute_reply.started":"2022-06-02T11:46:04.397849Z","shell.execute_reply":"2022-06-02T12:02:15.524557Z"},"trusted":true},"execution_count":78,"outputs":[{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:46:04,402]\u001b[0m A new study created in memory with name: no-name-f2c29064-982e-4ffd-920f-e321ecfbf787\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.1029261\ttest: 1.0570314\tbest: 1.0570314 (0)\ttotal: 891ms\tremaining: 13m 49s\n100:\tlearn: 0.8687744\ttest: 0.9290252\tbest: 0.9277017 (73)\ttotal: 1m 28s\tremaining: 12m 4s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.927701692\nbestIteration = 73\n\nShrink model to first 74 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:48:08,787]\u001b[0m Trial 0 finished with value: 0.8606304292551291 and parameters: {'depth': 8, 'min_data_in_leaf': 19, 'l2_leaf_reg': 13, 'colsample_bylevel': 0.5378079736103758, 'learning_rate': 0.2862666355245815, 'subsample': 0.866195462513664, 'iterations': 932}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0178522\ttest: 1.0058259\tbest: 1.0058259 (0)\ttotal: 570ms\tremaining: 4m 2s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9477510699\nbestIteration = 44\n\nShrink model to first 45 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:49:19,893]\u001b[0m Trial 1 finished with value: 0.8982320904308819 and parameters: {'depth': 4, 'min_data_in_leaf': 18, 'l2_leaf_reg': 16, 'colsample_bylevel': 0.7141512855989429, 'learning_rate': 0.7080253023373682, 'subsample': 0.5382960589664838, 'iterations': 427}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0050272\ttest: 1.0039275\tbest: 1.0039275 (0)\ttotal: 577ms\tremaining: 1m 22s\n100:\tlearn: 0.8930705\ttest: 0.9633663\tbest: 0.9424132 (70)\ttotal: 51.7s\tremaining: 22s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9424132232\nbestIteration = 70\n\nShrink model to first 71 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:50:45,978]\u001b[0m Trial 2 finished with value: 0.8881426832370868 and parameters: {'depth': 4, 'min_data_in_leaf': 19, 'l2_leaf_reg': 18, 'colsample_bylevel': 0.8027415898193161, 'learning_rate': 0.837994053759473, 'subsample': 0.5726931086646337, 'iterations': 144}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0863506\ttest: 1.0466450\tbest: 1.0466450 (0)\ttotal: 803ms\tremaining: 3m 59s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9378474207\nbestIteration = 52\n\nShrink model to first 53 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:52:25,028]\u001b[0m Trial 3 finished with value: 0.8795577846037965 and parameters: {'depth': 7, 'min_data_in_leaf': 67, 'l2_leaf_reg': 7, 'colsample_bylevel': 0.5246033321273523, 'learning_rate': 0.34355209068575415, 'subsample': 0.8021534800608656, 'iterations': 299}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.1275177\ttest: 1.0747990\tbest: 1.0747990 (0)\ttotal: 804ms\tremaining: 8m 53s\n100:\tlearn: 0.8921188\ttest: 0.9386004\tbest: 0.9357526 (93)\ttotal: 1m 15s\tremaining: 7m 3s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9357526101\nbestIteration = 93\n\nShrink model to first 94 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:54:33,083]\u001b[0m Trial 4 finished with value: 0.8756329472555682 and parameters: {'depth': 6, 'min_data_in_leaf': 74, 'l2_leaf_reg': 15, 'colsample_bylevel': 0.7912345907866245, 'learning_rate': 0.22689618198240935, 'subsample': 0.924005802770854, 'iterations': 665}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0108997\ttest: 1.0008224\tbest: 1.0008224 (0)\ttotal: 716ms\tremaining: 3m 15s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9448269553\nbestIteration = 39\n\nShrink model to first 40 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:55:48,194]\u001b[0m Trial 5 finished with value: 0.8926979755477428 and parameters: {'depth': 5, 'min_data_in_leaf': 100, 'l2_leaf_reg': 5, 'colsample_bylevel': 0.7446539822463221, 'learning_rate': 0.6947668463100837, 'subsample': 0.6161920101568504, 'iterations': 274}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0269441\ttest: 1.0111692\tbest: 1.0111692 (0)\ttotal: 674ms\tremaining: 1m 22s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.939723861\nbestIteration = 47\n\nShrink model to first 48 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:57:10,716]\u001b[0m Trial 6 finished with value: 0.8830809348565399 and parameters: {'depth': 5, 'min_data_in_leaf': 26, 'l2_leaf_reg': 10, 'colsample_bylevel': 0.878917270514938, 'learning_rate': 0.6039769722579861, 'subsample': 0.7713409817301802, 'iterations': 123}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 0.9828832\ttest: 0.9857288\tbest: 0.9857288 (0)\ttotal: 1.12s\tremaining: 8m 14s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.934415575\nbestIteration = 26\n\nShrink model to first 27 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:58:33,509]\u001b[0m Trial 7 finished with value: 0.8731324667712639 and parameters: {'depth': 8, 'min_data_in_leaf': 98, 'l2_leaf_reg': 9, 'colsample_bylevel': 0.8299261304989676, 'learning_rate': 0.7911262009004196, 'subsample': 0.8309398836396251, 'iterations': 444}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.0596660\ttest: 1.0300854\tbest: 1.0300854 (0)\ttotal: 734ms\tremaining: 2m 45s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9429523361\nbestIteration = 33\n\nShrink model to first 34 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 11:59:51,542]\u001b[0m Trial 8 finished with value: 0.8891591081610171 and parameters: {'depth': 6, 'min_data_in_leaf': 51, 'l2_leaf_reg': 7, 'colsample_bylevel': 0.8307576661697187, 'learning_rate': 0.44239201381919957, 'subsample': 0.7697952150088694, 'iterations': 227}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"0:\tlearn: 1.1567741\ttest: 1.0958238\tbest: 1.0958238 (0)\ttotal: 763ms\tremaining: 10m 54s\n100:\tlearn: 0.8920460\ttest: 0.9351082\tbest: 0.9344029 (90)\ttotal: 1m 16s\tremaining: 9m 30s\nStopped by overfitting detector (30 iterations wait)\n\nbestTest = 0.9338687148\nbestIteration = 115\n\nShrink model to first 116 iterations.\n","output_type":"stream"},{"name":"stderr","text":"\u001b[32m[I 2022-06-02 12:02:15,520]\u001b[0m Trial 9 finished with value: 0.8721107764498629 and parameters: {'depth': 7, 'min_data_in_leaf': 51, 'l2_leaf_reg': 7, 'colsample_bylevel': 0.9735331717447835, 'learning_rate': 0.14349366648996406, 'subsample': 0.8482159777091005, 'iterations': 858}. Best is trial 0 with value: 0.8606304292551291.\u001b[0m\n","output_type":"stream"},{"name":"stdout","text":"{'depth': 8, 'min_data_in_leaf': 19, 'l2_leaf_reg': 13, 'colsample_bylevel': 0.5378079736103758, 'learning_rate': 0.2862666355245815, 'subsample': 0.866195462513664, 'iterations': 932}\n","output_type":"stream"}]},{"cell_type":"code","source":"catBestParams=study.best_trial.params\ncatBestParams.update({\n 'eval_metric':'RMSE',\n 'loss_function':'RMSE'})","metadata":{"execution":{"iopub.status.busy":"2022-06-02T12:14:44.619621Z","iopub.execute_input":"2022-06-02T12:14:44.619945Z","iopub.status.idle":"2022-06-02T12:14:44.625620Z","shell.execute_reply.started":"2022-06-02T12:14:44.619912Z","shell.execute_reply":"2022-06-02T12:14:44.624609Z"},"trusted":true},"execution_count":79,"outputs":[]},{"cell_type":"code","source":"catBoostReg=CatBoostRegressor(**catBestParams)\ncatBoostReg.fit(x_train_cat,y_train.astype('float'),eval_set=[(x_cv_cat,y_cv.astype('float'))],early_stopping_rounds=50,verbose=50)\npredCatCV=catBoostReg.predict(x_cv_cat)\nprint('MEAN SQUARED ERROR OF VALIDATION SET FOR CATBOOST REGRESSOR ',mean_squared_error(predCatCV,y_cv))\npredCatTest=catBoostReg.predict(x_test)\npredCatTest=predCatTest.clip(0,20)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T12:14:48.007164Z","iopub.execute_input":"2022-06-02T12:14:48.007506Z","iopub.status.idle":"2022-06-02T12:17:12.929173Z","shell.execute_reply.started":"2022-06-02T12:14:48.007471Z","shell.execute_reply":"2022-06-02T12:17:12.928126Z"},"trusted":true},"execution_count":80,"outputs":[{"name":"stdout","text":"0:\tlearn: 1.1029261\ttest: 1.0570314\tbest: 1.0570314 (0)\ttotal: 1.23s\tremaining: 19m 6s\n50:\tlearn: 0.8880053\ttest: 0.9343844\tbest: 0.9329967 (49)\ttotal: 44.7s\tremaining: 12m 52s\n100:\tlearn: 0.8687744\ttest: 0.9290252\tbest: 0.9277017 (73)\ttotal: 1m 28s\tremaining: 12m 8s\nStopped by overfitting detector (50 iterations wait)\n\nbestTest = 0.927701692\nbestIteration = 73\n\nShrink model to first 74 iterations.\nMEAN SQUARED ERROR OF VALIDATION SET FOR CATBOOST REGRESSOR 0.8606304292551291\n","output_type":"stream"}]},{"cell_type":"code","source":"#predLgb=predLgb.clip(0,20)\npredFinal1=[]\nfor i in predLgbTest:\n predFinal1.append(np.math.floor(i))\n \n# predXgbr=predXgbr.clip(0,20)\npredFinal2=[]\nfor i in predXgbTest:\n predFinal2.append(np.math.floor(i))\n \npredFinal3=[]\nfor i in predCatTest:\n predFinal3.append(np.math.floor(i))","metadata":{"execution":{"iopub.status.busy":"2022-06-02T12:24:16.657487Z","iopub.execute_input":"2022-06-02T12:24:16.657871Z","iopub.status.idle":"2022-06-02T12:24:16.887749Z","shell.execute_reply.started":"2022-06-02T12:24:16.657831Z","shell.execute_reply":"2022-06-02T12:24:16.886979Z"},"trusted":true},"execution_count":81,"outputs":[]},{"cell_type":"markdown","source":"# Averaging the predictions","metadata":{}},{"cell_type":"code","source":"predictions=[]\nfor i in range(len(predFinal1)):\n val=0.3*predFinal1[i]+0.3*predFinal2[i]+0.4*predFinal3[i]\n predictions.append(int(val))","metadata":{"execution":{"iopub.status.busy":"2022-06-02T12:25:37.986674Z","iopub.execute_input":"2022-06-02T12:25:37.987340Z","iopub.status.idle":"2022-06-02T12:25:38.108332Z","shell.execute_reply.started":"2022-06-02T12:25:37.987204Z","shell.execute_reply":"2022-06-02T12:25:38.107424Z"},"trusted":true},"execution_count":85,"outputs":[]},{"cell_type":"code","source":"submissionDF=pd.DataFrame(testDF['ID'],columns=['ID'])\nsubmissionDF['item_cnt_month']=predictions\nsubmissionDF.to_csv('result.csv',index=False)","metadata":{"execution":{"iopub.status.busy":"2022-06-02T12:25:40.647166Z","iopub.execute_input":"2022-06-02T12:25:40.647493Z","iopub.status.idle":"2022-06-02T12:25:40.933740Z","shell.execute_reply.started":"2022-06-02T12:25:40.647457Z","shell.execute_reply":"2022-06-02T12:25:40.932658Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"markdown","source":"**The RMSE for the testing set is 0.92**","metadata":{}}]}