{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 12wk-2: NYCTaxi 자료 분석 (2)\n",
"\n",
"최규빈 \n",
"2023-11-22\n",
"\n",
"![](\"https://colab.research.google.com/assets/colab-badge.svg\")
\n",
"\n",
"# 1. 강의영상\n",
"\n",
"\n",
"\n",
"# 2. Imports"
],
"id": "80d86a1d-9f4b-441e-8cb3-c9369a2c6c43"
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import plotly.express as px\n",
"import plotly.io as pio"
],
"id": "82df11f9-bf9b-4a15-b7e2-ef8bf07e2721"
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"pd.options.plotting.backend = \"plotly\"\n",
"pio.templates.default = \"plotly_white\""
],
"id": "c4f7a494-4ea5-4d20-a29c-e3e854921fbf"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 3. 데이터준비"
],
"id": "da1f3947-14cb-4fbc-9c5e-c49bdd72299c"
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df = pd.read_csv(\"https://raw.githubusercontent.com/guebin/DV2023/main/posts/NYCTaxi.csv\")\n",
"df_feature = df.assign(\n",
" log_trip_duration = np.log(df.trip_duration),\n",
" pickup_datetime = df.pickup_datetime.apply(pd.to_datetime),\n",
" dropoff_datetime = df.dropoff_datetime.apply(pd.to_datetime),\n",
" dist = np.sqrt((df.pickup_latitude-df.dropoff_latitude)**2 + (df.pickup_longitude-df.dropoff_longitude)**2),\n",
" #---#\n",
" vendor_id = df.vendor_id.map({1:'A',2:'B'})\n",
").assign(\n",
" speed = lambda df: df.dist / df.trip_duration,\n",
" pickup_hour = lambda df: df.pickup_datetime.dt.hour,\n",
" dropoff_hour = lambda df: df.dropoff_datetime.dt.hour,\n",
" dayofweek = lambda df: df.pickup_datetime.dt.dayofweek\n",
")"
],
"id": "c4aef7b1-b794-4a4d-b7a8-097f2e8b8428"
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.head()"
],
"id": "a4d0707b-fecb-4c7b-9bc3-174b3ba6c905"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 4. 시각화3 – 애니메이션\n",
"\n",
"## A. scatter / (vendor_id,passenger_count,hour)\n",
"\n",
"`-` 시각화"
],
"id": "90a93608-a5cd-46dd-90b3-bcac1a5475f8"
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.columns"
],
"id": "5fcc85bf-ba94-4400-9411-7bc79c24a62a"
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig = px.scatter_mapbox(\n",
" data_frame=df_feature.sort_values('pickup_hour'),\n",
" lat = 'pickup_latitude',\n",
" lon = 'pickup_longitude',\n",
" color = 'vendor_id',\n",
" size = 'passenger_count', size_max = 5,\n",
" animation_frame = 'pickup_hour',\n",
" center = {'lat':40.7322, 'lon':-73.9052},\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600\n",
")\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "d7aeff26-2b29-4aad-b0c0-46ceaca0df93"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- B가 전체적으로 동그라미가 크다. (한 택시에 탑승하는 승객수는 B업체가\n",
" 더 많은듯)\n",
"- 시간대별로 확실히 빈도수가 다르다.\n",
"\n",
"`-` 추가시각화1 – `vendor_id`별 `passenger_count`를 barplot으로 시각화"
],
"id": "177a6a3f-e62d-456c-9e53-4726b41ee9e0"
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.groupby('vendor_id').agg({'passenger_count':'mean'})\\\n",
".reset_index()\\\n",
".plot.bar(y='vendor_id',x='passenger_count',color='vendor_id')"
],
"id": "fec3a99b-fc27-46bc-9c3c-d83b8658eadf"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- B가 한 택시당 평균승객이 많다. (B는 대형차량위주로 운행하는 회사이지\n",
" 않을까?)\n",
"\n",
"`-` 추가시각화2 – `vendor_id`별 `passenger_count`를 boxplot으로 시각화"
],
"id": "0abc790a-2a66-41dd-b8b2-184fa1cfc64f"
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.plot.box(x='vendor_id',y='passenger_count',color='vendor_id')"
],
"id": "ab2b984b-fe5d-4484-b01b-d492fdb688e0"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 추가시각화3 – `vendor_id`별 `passenger_count`를 histogram으로 시각화"
],
"id": "8d4ebbb3-cf48-4b05-acaa-c31a0b948b58"
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.plot.hist(x='passenger_count',color='vendor_id', facet_col='vendor_id')"
],
"id": "1d648dba-384b-492b-9119-e1d095c0b30e"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 추가시각화4 – `pickup_hour`별 `count`를 barplot으로 시각화"
],
"id": "f85a810c-1602-40ab-8caa-806a8f3514be"
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.pickup_hour.value_counts().sort_index().plot.bar()"
],
"id": "39aae51b-de9f-453c-9654-7cb2fabe7fca"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 추가시각화5 – (`pickup_hour`,`vendor_id`)별 `count`를 barplot으로\n",
"시각화"
],
"id": "4bad7578-5295-45e7-8ae1-f41c66cf9b71"
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.groupby(['pickup_hour','vendor_id'])\\\n",
".agg('size').reset_index().rename({0:'count'},axis=1)\\\n",
".plot.bar(x='pickup_hour',y='count',color='vendor_id',facet_col='vendor_id')"
],
"id": "b8ead155-9287-4beb-8afb-0e8118c1d045"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 추가시각화6 – (`pickup_hour`,`vendor_id`)별 `count`를 areaplot으로\n",
"시각화"
],
"id": "2064013f-9873-422b-bbc9-b05bf7d1ec29"
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.groupby(['pickup_hour','vendor_id'])\\\n",
".agg('size').reset_index().rename({0:'count'},axis=1)\\\n",
".plot.area(x='pickup_hour',y='count',color='vendor_id')"
],
"id": "35a42315-4050-4960-b5e6-49c775bda66d"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 추가시각화7 – (`pickup_hour`,`vendor_id`)별 `count`를 lineplot으로\n",
"시각화"
],
"id": "ad7b8451-386b-4749-9e40-384d754108fd"
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.groupby(['pickup_hour','vendor_id'])\\\n",
".agg('size').reset_index().rename({0:'count'},axis=1)\\\n",
".plot.line(x='pickup_hour',y='count',color='vendor_id')"
],
"id": "d620b23d-fcf5-4829-a1bd-62c6c98d8d0d"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## B. scatter / (vendor_id,day_of_week)"
],
"id": "bca7c5bc-810a-4f1a-b574-71e7cd970919"
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig = px.scatter_mapbox(\n",
" data_frame=df_feature.sort_values('dayofweek'),\n",
" lat = 'pickup_latitude',\n",
" lon = 'pickup_longitude',\n",
" color = 'vendor_id',\n",
" size = 'passenger_count', size_max = 5,\n",
" animation_frame = 'dayofweek',\n",
" center = {'lat':40.7322, 'lon':-73.9052},\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600\n",
")\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "89e9ba04-1f73-4684-86fe-4be9db819fd8"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 생각보다 요일별 특징은 그다지 뚜렷하지 않음.\n",
"\n",
"# 5. 시각화4 – `heatmap`\n",
"\n",
"## A. (요일,시간)에 따른 `count` 시각화"
],
"id": "4c68c1a9-35d2-4471-adb7-bd5e415c5089"
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"tidydata = df_feature.pivot_table(\n",
" index = 'pickup_hour',\n",
" columns = 'dayofweek',\n",
" aggfunc = 'size'\n",
").stack().reset_index().rename({0:'count'},axis=1)\n",
"px.density_heatmap(\n",
" data_frame=tidydata,\n",
" x='pickup_hour',\n",
" y='dayofweek',\n",
" z='count',\n",
" nbinsx=24,\n",
" nbinsy=7,\n",
" height=300\n",
")"
],
"id": "6fb6f7ca-2eb6-474e-a0f3-fa46936a25a9"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 노란색: 불금? 피크타임?\n",
"\n",
"## B. (요일,시간)에 따른 `dist` 시각화"
],
"id": "e6355e12-545f-440b-a43f-d907d2967325"
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"tidydata = df_feature.pivot_table(\n",
" index = 'pickup_hour',\n",
" columns = 'dayofweek',\n",
" values = 'dist',\n",
" aggfunc = 'mean'\n",
").stack().reset_index().rename({0:'dist_mean'},axis=1)\n",
"px.density_heatmap(\n",
" data_frame=tidydata,\n",
" x='pickup_hour',\n",
" y='dayofweek',\n",
" z='dist_mean',\n",
" nbinsx=24,\n",
" nbinsy=7,\n",
" height=300\n",
")"
],
"id": "4e60c927-7c42-4a7c-a0ad-fb96edff0a39"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 노란색: 일요일 아침부터 장거리.. (여행을 끝나고 복귀하는 사람들이지\n",
" 않을까?)\n",
"\n",
"## C. (요일,시간)에 따른 `speed` 시각화"
],
"id": "1e6cac37-5d9a-4802-bae6-353da986476e"
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"tidydata = df_feature.pivot_table(\n",
" index = 'pickup_hour',\n",
" columns = 'dayofweek',\n",
" values = 'speed',\n",
" aggfunc = 'mean'\n",
").stack().reset_index().rename({0:'speed_mean'},axis=1)\n",
"px.density_heatmap(\n",
" data_frame=tidydata,\n",
" x='pickup_hour',\n",
" y='dayofweek',\n",
" z='speed_mean',\n",
" nbinsx=24,\n",
" nbinsy=7,\n",
" height=300\n",
")"
],
"id": "e76c8abd-4e6d-4851-84df-ed28e369c3d4"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- 남색: 교통체증이 심한 곳 / 노란색: 교통체증이 덜한 곳\n",
"\n",
"# 6. 시각화5 – 경로시각화\n",
"\n",
"`-` 이거는 너무 무거워서 좀 작은 데이터로 실습합니다."
],
"id": "b471b0d6-0632-4663-8390-cb37f4926b72"
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature_small = df_feature[::100].reset_index(drop=True)\n",
"df_feature_small"
],
"id": "a872243a-c0e3-4d06-92a3-b3f2a8f538e3"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## A. 예비학습\n",
"\n",
"`-` 경로그리기"
],
"id": "042ec058-9d52-4299-91ff-9b99c7db5c6b"
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_sample = pd.DataFrame(\n",
" {'path':['A','A','B','B','B'],\n",
" 'lon':[-73.986420,-73.995300,-73.975922,-73.988922,-73.962654],\n",
" 'lat':[40.756569,40.740059,40.754192,40.762859,40.772449]}\n",
")"
],
"id": "70bdee47-c204-4096-bff5-9744c3ae9908"
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_sample"
],
"id": "46f32e44-d88e-4eca-a629-619841d616fe"
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig = px.line_mapbox(\n",
" data_frame=df_sample,\n",
" lat = 'lat',\n",
" lon = 'lon',\n",
" color = 'path',\n",
" line_group = 'path',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=12,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "5b749ce0-8be8-4b57-91dd-0cf003dfa738"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 산점도로 그리기"
],
"id": "41d8d385-a6aa-4a8e-ad1e-3b411589f572"
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"_fig = px.scatter_mapbox(\n",
" data_frame=df_sample,\n",
" lat = 'lat',\n",
" lon = 'lon',\n",
" color = 'path',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=12,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"_fig.show(config={'scrollZoom':False})"
],
"id": "07ca0994-e2d1-4621-9b75-1da185be180b"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`-` 합치기"
],
"id": "c1c1c584-56fd-460a-97d4-1f3811659e15"
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig = px.line_mapbox(\n",
" data_frame=df_sample,\n",
" lat = 'lat',\n",
" lon = 'lon',\n",
" color = 'path',\n",
" line_group = 'path',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=12,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"scatter_data = px.scatter_mapbox(\n",
" data_frame=df_sample,\n",
" lat = 'lat',\n",
" lon = 'lon',\n",
" color = 'path',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=12,\n",
" width = 750,\n",
" height = 600 \n",
").data \n",
"fig.add_trace(scatter_data[0])\n",
"fig.add_trace(scatter_data[1])\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "3648055f-637e-4e8e-b654-43cce624b8aa"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## B. 전처리"
],
"id": "74ce1475-dab6-430b-8da4-e13c4ed95da9"
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"pcol = ['pickup_datetime', 'pickup_longitude', 'pickup_latitude', 'pickup_hour']\n",
"dcol = ['dropoff_datetime', 'dropoff_longitude', 'dropoff_latitude', 'dropoff_hour']\n",
"def transform(df):\n",
" pickup = df.loc[:,['id']+pcol].set_axis(['id', 'datetime', 'longitude', 'latitude', 'hour'],axis=1).assign(type = 'pickup')\n",
" dropoff = df.loc[:,['id']+dcol].set_axis(['id', 'datetime', 'longitude', 'latitude', 'hour'],axis=1).assign(type = 'dropoff')\n",
" return pd.concat([pickup,dropoff],axis=0)\n",
"df_left = df_feature_small.drop(pcol+dcol,axis=1)\n",
"df_right = pd.concat([transform(df) for i, df in df_feature_small.groupby('id')]).reset_index(drop=True)\n",
"df_feature_small2 = df_left.merge(df_right)\n",
"df_feature_small2.head()"
],
"id": "22734028-1909-4ad5-910b-c9deaf506722"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## C. `vendor_id`, `passenger_count` 시각화"
],
"id": "6ff59219-9d75-470e-885b-188a8a3a7b25"
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"fig = px.line_mapbox(\n",
" data_frame=df_feature_small2,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" color = 'vendor_id',\n",
" line_group = 'id',\n",
" center = {'lat':40.7322, 'lon':-73.9052},\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"scatter_data = px.scatter_mapbox(\n",
" data_frame=df_feature_small2,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" size = 'passenger_count',\n",
" size_max = 10,\n",
" color = 'vendor_id',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
").data \n",
"for sd in scatter_data: \n",
" fig.add_trace(sd)\n",
"fig.update_traces(\n",
" line={\n",
" 'width':1\n",
" },\n",
" opacity=0.8\n",
") \n",
"fig.show(config={'scrollZoom':False})"
],
"id": "b4343a55-af69-42fa-8698-a7fd138acb23"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## D. `dayofweek`별 시각화"
],
"id": "4e90dd41-bc8b-458b-ab98-9346469872f1"
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"tidydata = df_feature_small2.assign(dayofweek = lambda df: df.dayofweek.astype(str)).sort_values('dayofweek')\n",
"fig = px.line_mapbox(\n",
" data_frame=tidydata,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" line_group = 'id',\n",
" color = 'dayofweek',\n",
" center = {'lat':40.7322, 'lon':-73.9052},\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"scatter_data = px.scatter_mapbox(\n",
" data_frame=tidydata,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" size = 'passenger_count',\n",
" size_max = 10,\n",
" color = 'dayofweek',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
").data \n",
"for sd in scatter_data: \n",
" fig.add_trace(sd)\n",
"fig.update_traces(\n",
" line={\n",
" 'width':1\n",
" },\n",
" opacity=0.8\n",
")\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "a8901dce-9dd0-425c-954a-b98b0f7ffdfc"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## E. `speed`별 시각화"
],
"id": "c738bee4-5237-46ed-a58a-e9c1c324ca0d"
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/home/cgb2/anaconda3/envs/ag/lib/python3.10/site-packages/plotly/express/_core.py:2044: FutureWarning:\n",
"\n",
"The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
"\n",
"/home/cgb2/anaconda3/envs/ag/lib/python3.10/site-packages/plotly/express/_core.py:2044: FutureWarning:\n",
"\n",
"The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n"
]
}
],
"source": [
"tidydata = df_feature_small2.assign(\n",
" speed_cut = pd.qcut(df_feature_small2.speed,4)\n",
").sort_values('speed_cut')\n",
"fig = px.line_mapbox(\n",
" data_frame=tidydata,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" line_group = 'id',\n",
" color = 'speed_cut',\n",
" center = {'lat':40.7322, 'lon':-73.9052},\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
")\n",
"scatter_data = px.scatter_mapbox(\n",
" data_frame=tidydata,\n",
" lat = 'latitude',\n",
" lon = 'longitude',\n",
" size = 'passenger_count',\n",
" size_max = 10,\n",
" color = 'speed_cut',\n",
" #---#\n",
" mapbox_style = 'carto-positron',\n",
" zoom=10,\n",
" width = 750,\n",
" height = 600 \n",
").data \n",
"for sd in scatter_data: \n",
" fig.add_trace(sd)\n",
"fig.update_traces(\n",
" line={\n",
" 'width':1\n",
" },\n",
" opacity=0.8\n",
")\n",
"fig.show(config={'scrollZoom':False})"
],
"id": "adc141f7-8119-4ede-b513-f3b865428603"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 7. HW"
],
"id": "322d7b6a-a035-487b-8e62-78fb48fdc695"
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_feature.dist.describe()"
],
"id": "9758616e-c0b6-48aa-85ca-1d68f87fb240"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"거리가 0.012819 보다 작은 거리를 근거리로 생각하자. 근거리 이동건수가\n",
"많은 요일,시간대를 알고싶다. 예를들어 월요일, 0시 (pickup_hour기준)의\n",
"근거리 이동건수는 아래와 같이 구할 수 있다."
],
"id": "77d8a129-df83-492a-b77f-88557967ae1f"
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"len(df_feature.query('dayofweek ==0 and dist<0.012819 and pickup_hour == 0'))"
],
"id": "37394006-8956-477a-a76a-1cdf20fe0556"
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"모든 요일, 모든 시간의 근거리 이동건수를 `density_heatmap`을 이용하여\n",
"시각화하라.\n",
"\n",
""
],
"attachments": {
"12wk-2_files/figure-ipynb/71dc8cae-6439-4f10-a8c9-9b9a6f442976-1-b5b2528a-caae-40a0-a8cb-d8f0bf880081.png": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABmoAAAIECAYAAAAZ9XHXAAAKtWlDQ1BJQ0MgUHJvZmlsZQAASImV\nlwdUU0kXx+e99EZLQEBK6E2QTgApoQeQ3kUlJCEEQowJQUXsLK7gWlARQWVFF0QUrDQ7FiwsAgrY\nF2QRUT4XCzZUvgccwu5+7Xz3nMn83n13/nPvOzPn3ABA0WKLxUJYCYAMUaYkwt+LHhefQMcNAhJQ\nBWRgDUhsjlTMDAsLBohNz3+1D90AmpjvWk5o/ev7/2rKXJ6UAwAUhnAyV8rJQPg0Mj5wxJJMAFBH\nEb/BskzxBLcjTJMgCSL8+wTzp/jTBCdPMpo8GRMV4Y0wHQA8mc2W8AEgz0H89CwOH9EhT9RgLeIK\nRAjnIOyekbGEi/A5hE2RGDHCE/qM5D/p8P+imSzXZLP5cp6qZdLwPgKpWMhe8X9+jv9tGULZ9B7G\nyCCnSgIikFkH+Wb305cEyVmUHBI6zQLuZPwkp8oCoqeZI/VOmGYu2ydIvlYYEjzNKQI/llwnkxU1\nzTypb+Q0S5ZEyPdKkXgzp5ktmdlXlh4t96fyWHL97NSo2GnOEsSETLM0PTJoJsZb7pfIIuT580T+\nXjP7+slrz5D+qV4BS742MzUqQF47eyZ/nog5oymNk+fG5fn4zsREy+PFmV7yvcTCMHk8T+gv90uz\nIuVrM5EDObM2TP4N09iBYdMMIoEAcAEPcAAbSAAd+CDPUiAGQuQZOUaZvOWZE0V5LxGvkAj4qZl0\nJnLbeHSWiGM1h25rbWsHwMTdnToa78In7ySk1jrj2/AbAG4Xx8fHz874Ai8CcMIJAGLjjM+UgVxL\nEgA3GjkySdaUDz3xgwFEoAhoQAPJ2ACYAktgCxyBK/AEviAQhIIoEA8WIfmnggykgmUgB6wDeaAA\nbAO7QAkoAwfBYXAMnAT14By4DK6D26AddIFHoBcMgFdgBHwAYxAE4SAKRIU0IF3ICLKAbCEG5A75\nQsFQBBQPJUF8SATJoBxoA1QAFUIl0AGoCjoBNUKXoZtQB/QA6oOGoLfQFxgFk2EarA0bw3NhBsyE\ng+AoeCHMh5fC2XAuvAUuhsvho3AdfBm+DXfBvfAreBQFUCSUGkoPZYlioLxRoagEVApKglqNykcV\nocpRNagmVAvqLqoXNYz6jMaiqWg62hLtig5AR6M56KXo1ejN6BL0YXQd+ir6LroPPYL+jqFgtDAW\nGBcMCxOH4WOWYfIwRZgKzBnMNUwXZgDzAYvFqmFNsE7YAGw8Ng27ErsZuw9bi72E7cD2Y0dxOJwG\nzgLnhgvFsXGZuDzcHtxR3EVcJ24A9wlPwuvibfF++AS8CL8eX4Q/gr+A78QP4scISgQjggshlMAl\nrCBsJRwiNBHuEAYIY0RlognRjRhFTCOuIxYTa4jXiI+J70gkkj7JmRROEpDWkopJx0k3SH2kz2QV\nsjnZm5xIlpG3kCvJl8gPyO8oFIoxxZOSQMmkbKFUUa5QnlI+KVAVrBRYClyFNQqlCnUKnQqvFQmK\nRopMxUWK2YpFiqcU7ygOKxGUjJW8ldhKq5VKlRqVepRGlanKNsqhyhnKm5WPKN9UfqGCUzFW8VXh\nquSqHFS5otJPRVENqN5UDnUD9RD1GnWAhqWZ0Fi0NFoB7RitjTaiqqJqrxqjuly1VPW8aq8aSs1Y\njaUmVNuqdlKtW+3LLO1ZzFm8WZtm1czqnPVRfba6pzpPPV+9Vr1L/YsGXcNXI11ju0a9xhNNtKa5\nZrjmMs39mtc0h2fTZrvO5szOn31y9kMtWMtcK0JrpdZBrVatUW0dbX9tsfYe7SvawzpqOp46aTo7\ndS7oDOlSdd11Bbo7dS/qvqSr0pl0Ib2YfpU+oqelF6An0zug16Y3pm+iH62/Xr9W/4kB0YBhkGKw\n06DZYMRQ13C+YY5hteFDI4IRwyjVaLdRi9FHYxPjWOONxvXGL0zUTVgm2SbVJo9NKaYepktNy03v\nmWHNGGbpZvvM2s1hcwfzVPNS8zsWsIWjhcBin0XHHMwc5zmiOeVzeizJlkzLLMtqyz4rNatgq/VW\n9Vav5xrOTZi7fW7L3O/WDtZC60PWj2xUbAJt1ts02by1Nbfl2Jba3rOj2PnZrbFrsHtjb2HPs99v\nf9+B6jDfYaNDs8M3RydHiWON45CToVOS016nHgaNEcbYzLjhjHH2cl7jfM75s4ujS6bLSZc/XC1d\n012PuL6YZzKPN+/QvH43fTe22wG3Xne6e5L7z+69HnoebI9yj2eeBp5czwrPQaYZM415lPnay9pL\n4nXG66O3i/cq70s+KB9/n3yfNl8V32jfEt+nfvp+fL9qvxF/B/+V/pcCMAFBAdsDeljaLA6rijUS\n6BS4KvBqEDkoMqgk6FmwebAkuGk+PD9w/o75j0OMQkQh9aEglBW6I/RJmEnY0rCz4djwsPDS8OcR\nNhE5ES2R1MjFkUciP0R5RW2NehRtGi2Lbo5RjEmMqYr5GOsTWxjbGzc3blXc7XjNeEF8QwIuISah\nImF0ge+CXQsGEh0S8xK7F5osXL7w5iLNRcJF5xcrLmYvPpWESYpNOpL0lR3KLmePJrOS9yaPcLw5\nuzmvuJ7cndwhnhuvkDeY4pZSmPKC78bfwR9K9UgtSh0WeAtKBG/SAtLK0j6mh6ZXpo8LY4W1GfiM\npIxGkYooXXR1ic6S5Us6xBbiPHHvUpelu5aOSIIkFVJIulDakElDmqRWmansB1lflntWadanZTHL\nTi1XXi5a3rrCfMWmFYPZftm/rESv5KxsztHLWZfTt4q56sBqaHXy6uY1Bmty1wys9V97eB1xXfq6\nX9dbry9c/35D7IamXO3ctbn9P/j/UJ2nkCfJ69nourHsR/SPgh/bNtlt2rPpez43/1aBdUFRwdfN\nnM23frL5qfin8S0pW9q2Om7dvw27TbSte7vH9sOFyoXZhf075u+o20nfmb/z/a7Fu24W2ReV7Sbu\nlu3uLQ4ubthjuGfbnq8lqSVdpV6ltXu19m7a+3Efd1/nfs/9NWXaZQVlX34W/Hz/gP+BunLj8qKD\n2INZB58fijnU8gvjl6oKzYqCim+VosrewxGHr1Y5VVUd0TqytRqullUPHU082n7M51hDjWXNgVq1\n2oLj4Ljs+MsTSSe6TwadbD7FOFVz2uj03jPUM/l1UN2KupH61PrehviGjsbAxuYm16YzZ63OVp7T\nO1d6XvX81gvEC7kXxi9mXxy9JL40fJl/ub95cfOjK3FX7l0Nv9p2Lejajet+16+0MFsu3nC7ce6m\ny83GW4xb9bcdb9e1OrSe+dXh1zNtjm11d5zuNLQ7tzd1zOu40OnRefmuz93r91j3bneFdHV0R3ff\n70ns6b3Pvf/igfDBm4dZD8cerX2MeZz/ROlJ0VOtp+W/mf1W2+vYe77Pp6/1WeSzR/2c/le/S3//\nOpD7nPK8aFB3sOqF7YtzQ35D7S8XvBx4JX41Npz3D+V/7H1t+vr0H55/tI7EjQy8kbwZf7v5nca7\nyvf275tHw0affsj4MPYx/5PGp8OfGZ9bvsR+GRxb9hX3tfib2bem70HfH49njI+L2RL2ZCuAQgac\nkgLA20oAKPEAUJG+nLhgqreeNGjq/8Akgf/EU/33pDkCUEMDIHwY6W56ADh+CGltEX3FRADCKABE\nOQPYzk4+pvvgyZ4dADZbLBSEsbm3vwE++Dc21c//Ke+/z2BC1R78ff4ndK4Ph2QhpKUAAACKZVhJ\nZk1NACoAAAAIAAQBGgAFAAAAAQAAAD4BGwAFAAAAAQAAAEYBKAADAAAAAQACAACHaQAEAAAAAQAA\nAE4AAAAAAAAAkAAAAAEAAACQAAAAAQADkoYABwAAABIAAAB4oAIABAAAAAEAAAZqoAMABAAAAAEA\nAAIEAAAAAEFTQ0lJAAAAU2NyZWVuc2hvdDitVf0AAAAJcEhZcwAAFiUAABYlAUlSJPAAAAHXaVRY\ndFhNTDpjb20uYWRvYmUueG1wAAAAAAA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEv\nIiB4OnhtcHRrPSJYTVAgQ29yZSA2LjAuMCI+CiAgIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDov\nL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+CiAgICAgIDxyZGY6RGVzY3Jp\ncHRpb24gcmRmOmFib3V0PSIiCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9i\nZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjUxNjwvZXhp\nZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj4xNjQyPC9l\neGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hv\ndDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJE\nRj4KPC94OnhtcG1ldGE+CnGHEvsAAAAcaURPVAAAAAIAAAAAAAABAgAAACgAAAECAAABAgAAfOfN\nLxNvAABAAElEQVR4AeydB5wU5fnHn+vHHV0RGxZiRWOIvUeNGI0au7FEYoldY48du1ERe0XFFrC3\nYEuw/6OJGgl2RUURG0X6cf3uP++cu2yZvdvdu5n3eXe/k0+YmXfK+8z3N3vIfu+dKWn3JmGCAAQg\nAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCInEAJoiZy5nQIAQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIQAACEIAABHwCiBpuBAhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4\nuoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQg\nAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhA\nAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAA\nAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUA\nBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAA\nAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAE\nIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQg\nAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhA\nAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAA\nBCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAAB\nCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBg\niQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAA\nAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAAC\niBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAE\nIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCi\nxhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBru\nAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAAB\nCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4\nuoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQg\nAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhA\nAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAA\nAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUA\nBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCA\nAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAA\nAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAE\nIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQg\nAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhA\nAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAA\nBCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAAB\nCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBg\niQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAA\nAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAAC\niBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCixhJ4uoUABCAAAQhAAAIQgAAE\nIAABCEAAAhCAAAQgAAEIQAACiBruAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgiQCi\nxhL4Qul23EbXF8qlFMx11DWVy5xFVVLXWF4w11QIF1Lf2i4/NrbLEm9eCFOztElde6s0tbc5fTn1\n0iLz2hvEzAth6ltSKUNKasXMXZ4qS0ukT1mZVJaUunwZ8drLStulqqxdzNzlyVxD76pW/1pcvo5Y\n7RXlLVLbq1EqyltjTU7Oa2obZNCg+WLmhTDV11fJ3B/7Sf2SKqcvp7KyWWp714uZF8K0uK6XfD9z\noCxe3Mvpy2lsLZHFjWVi5oUwLdNviaw5ZLaYuctTaVmbVFS0Smmp2/9dGcugpKTdu5Z2MXOXp8bG\nSlm0oFaaGitcvox47Qu9v1e+nd1HzNzlqbWtxPsZVipmXghTQ1u7zG9uFTN3ffr74iNcvwTqhwAE\nLBNA1FgOwPXuETX6EkTU6MvEVISoUZoLokZlMIgalbH4ggZRoy8bRI2+TExFiBqduSBqdOaCqNGZ\nC6JGZy6IGp25mKoQNXqzoTIIuEIAUeNKUkrrRNToCwZRoy8TUxGiRmkuiBqVwSBqVMaCqNEZiz+S\nhhE1+sJB1OjLxFSEqNGZC6JGZy6IGp25IGp05mKqQtTozYbKIOAKAUSNK0kprRNRoy8YRI2+TExF\niBqluSBqVAaDqFEZC6JGZyyIGqW5IGp0BoOo0ZkLokZnLoganbkganTmYqpC1OjNhsog4AoBRI0r\nSSmtE1GjLxhEjb5MTEWIGqW5IGpUBoOoURkLokZnLIgapbkganQGg6jRmQuiRmcuiBqduSBqdOZi\nqkLU6M2GyiDgCgFEjStJKa0TUaMvGESNvkxMRYgapbkgalQGg6hRGQuiRmcsiBqluSBqdAaDqNGZ\nC6JGZy6IGp25IGp05mKqQtTozYbKIOAKAUSNK0kprRNRoy8YRI2+TExFiBqluSBqVAaDqFEZC6JG\nZyyIGqW5IGp0BoOo0ZkLokZnLoganbkganTmYqpC1OjNhsog4AoBRI0rSSmtE1GjLxhEjb5MTEWI\nGqW5IGpUBoOoURkLokZnLIgapbkganQGg6jRmQuiRmcuiBqduSBqdOZiqkLU6M2GyiDgCgFEjStJ\nKa0TUaMvGESNvkxMRYgapbkgalQGg6hRGQuiRmcsiBqluSBqdAaDqNGZC6JGZy6IGp25IGp05mKq\nQtTozYbKIOAKAUSNK0kprRNRoy8YRI2+TExFiBqluSBqVAaDqFEZC6JGZyyIGqW5IGp0BoOo0ZkL\nokZnLoganbkganTmYqpC1OjNhsog4AoBRI0rSSmtE1GjLxhEjb5MTEWIGqW5IGpUBoOoURkLokZn\nLIgapbkganQGg6jRmQuiRmcuiBqduSBqdOZiqkLU6M2GyiDgCgFEjStJKa0TUaMvGESNvkxMRYga\npbkgalQGg6hRGQuiRmcsiBqluSBqdAaDqNGZC6JGZy6IGp25IGp05mKqQtTozYbKIOAKAUSNK0lZ\nqrO1tVVa29qlsqI8sAJETSAWq42IGqv4M3aOqMmIxuqGekSNVf6ZOkfUZCJjt72qrF16V7X6wsZu\nJT3Te0V5i9T2apSK8taeOaGls9TUNsigQfN9YWOphB7ttr6+Sub+2E/ql1T16HmjPhmiJmri2fWH\nqMmOU9R7IWqiJp5df4ia7DhFvReiJmri2feHqMmeFXtCAALBBBA1wVyKtnXhojp5+V/vyMdTp8v7\nH38hH34yzWdRW1MtT953pQxadkASG0RNEg4VK4gaFTGkFYGoSUOiogFRoyKGtCIQNWlIVDQgalTE\nkFYEoiYNiYoGRI2KGNKKQNSkIVHRgKhREUNaEYiaNCQqGhA1KmIILAJRE4iFRghAIAcCiJocYBX6\nrlO/mCGnnn+9fPPdrMBLfeaBMbLSCoOStiFqknCoWEHUqIghrQhETRoSFQ2IGhUxpBWBqElDoqIB\nUaMihrQiEDVpSFQ0IGpUxJBWBKImDYmKBkSNihjSikDUpCFR0YCoURFDYBGImkAsNEIAAjkQQNTk\nAKuQd/3HS2/KmRffHL/E3XfeWjYYtoasstJgmb9gsbz1v4/k+MP3kYED+sb3MQuImiQcKlYQNSpi\nSCsCUZOGREUDokZFDGlFIGrSkKhoQNSoiCGtCERNGhIVDYgaFTGkFYGoSUOiogFRoyKGtCIQNWlI\nVDQgalTEEFgEoiYQC40QgEAOBBA1OcAq1F3nzlsoO+x1gn95gwcNlCsvOF6Gr79mVpeLqMkKU6Q7\nIWoixZ11Z4iarFFFuiOiJlLcWXeGqMkaVaQ7ImoixZ11Z4iarFFFuiOiJlLcWXeGqMkaVaQ7Imoi\nxZ11Z4iarFFFuiOiJlLcOXWGqMkJFztDAAIBBBA1AVCKren6sQ/L3ROe9i97/G0XynrrDM0aAaIm\na1SR7YioiQx1Th0hanLCFdnOiJrIUOfUEaImJ1yR7YyoiQx1Th0hanLCFdnOiJrIUOfUEaImJ1yR\n7YyoiQx1Th0hanLCFdnOiJrIUOfcEaImZ2QcAAEIpBBA1KQAKbbVxNE0B+w1Qs466ZCcECBqcsIV\nyc6Imkgw59wJoiZnZJEcgKiJBHPOnSBqckYWyQGImkgw59wJoiZnZJEcgKiJBHPOnSBqckYWyQGI\nmkgw59wJoiZnZJEcgKiJBHNenSBq8sLGQRCAQAIBRE0CjGJcfPG1/8ppo27wL33sNWfJumutJl/N\n+F6+/X623zZomf5+W02v6kA8iJpALFYbETVW8WfsHFGTEY3VDYgaq/gzdo6oyYjG6gZEjVX8GTtH\n1GREY3UDosYq/oydI2oyorG6AVFjFX/GzhE1GdFY3YCosYq/084RNZ3iYSMEIJAFAURNFpAKeZfx\nj/5DRt803r/E3XbaSp7+5+tpl1tbUy1/+sPv5NADd5WSkpKk7YiaJBwqVhA1KmJIKwJRk4ZERQOi\nRkUMaUUgatKQqGhA1KiIIa0IRE0aEhUNiBoVMaQVgahJQ6KiAVGjIoa0IhA1aUhUNCBqVMQQWASi\nJhALjRCAQA4EEDU5wCrEXa++eYL87ZHnky5t4IC+MnjQQJk5e66YR6PFpmMO3UvM/xMnRE0iDR3L\niBodOaRWgahJJaJjHVGjI4fUKhA1qUR0rCNqdOSQWgWiJpWIjnVEjY4cUqtA1KQS0bGOqNGRQ2oV\niJpUIjrWETU6cgiqAlETRIU2CEAgFwKImlxoFeC+J597nbzy+mT/yk455gDZ/TdbixE1semddz+R\nP599jdQtafCbzOPRNt1wWGyzIGriKNQsIGrURJFUCKImCYeaFUSNmiiSCkHUJOFQs4KoURNFUiGI\nmiQcalYQNWqiSCoEUZOEQ80KokZNFEmFIGqScKhZQdSoiSKtEERNGhIaIACBHAkganIEVmi7H3fG\naHnj7ff9ETT/eOS6wMt7c/KHcvSpV/rbUkfVIGoCkVltRNRYxZ+xc0RNRjRWNyBqrOLP2DmiJiMa\nqxsQNVbxZ+wcUZMRjdUNiBqr+DN2jqjJiMbqBkSNVfwZO0fUZERjdQOixir+TjtH1HSKh40QgEAW\nBBA1WUAq5F0uv+5eefjJF/1LnPzSvVJamvwOGrOhra1NNtzhUH+fbTYfLjdecaq/bP5A1MRRqFlA\n1KiJIqkQRE0SDjUriBo1USQVgqhJwqFmBVGjJoqkQhA1STjUrCBq1ESRVAiiJgmHmhVEjZookgpB\n1CThULOCqFETRVohiJo0JDRAAAI5EkDU5Ais0HY376cx76kx06RHr5dByw4IvMQd9jrBf1/N8PXX\nlHtuOj++D6ImjkLNAqJGTRRJhSBqknCoWUHUqIkiqRBETRIONSuIGjVRJBWCqEnCoWYFUaMmiqRC\nEDVJONSsIGrURJFUCKImCYeaFUSNmijSCkHUpCGh4ScCzc0t8s9X3pLPv/xGps/43vuF+HZZZmA/\n2WbzX8h2W20IJwjECSBq4iiKc8G8n8a8p8ZMN191umy16QZpIFpbW2WjXx/mt++z+/Zy/mkdy6YB\nUZOGy3oDosZ6BIEFIGoCsVhvRNRYjyCwAERNIBbrjYga6xEEFoCoCcRivRFRYz2CwAIQNYFYrDci\naqxHEFgAoiYQi/VGRI31CDIWgKjJiKaoN3w5/Ts58+KbZeoXM9I4/G7nbeTis45Ma6eheAkgaoo3\ne//K585bKLsffLrULWmQoautJA/feamUl5clUXnqudfkgivv9NvOO/Uw2fd328e3I2riKNQsIGrU\nRJFUCKImCYeaFUSNmiiSCkHUJOFQs4KoURNFUiGImiQcalYQNWqiSCoEUZOEQ80KokZNFEmFIGqS\ncKhZQdSoiSKtEERNGpKibzCvkjj4mAvl46lfxVnU1lRLVVWl/9QiRE0cS04Li+uWyNa7HuMfk/rk\np5xOpHBnRI3CUKIu6aEnXpC/Xn+f3+2I7TaVM0/8gyy7TH8xI2kmvfq2XHL1OF/krDpkeV/kmB8o\nsQlREyOhZ46o0ZNFYiWImkQaepYRNXqySKwEUZNIQ88yokZPFomVIGoSaehZRtToySKxEkRNIg09\ny4gaPVkkVoKoSaShZxlRoyeL1EoQNalEWH/htbfl9FE3+iDMd6rXXnKS/0vypqGurl7q6htkuQyv\noIBeZgILF9XJtrsf6++w7lqryQNjL868s2NbEDWOBRZGuUbIjDz+Evnwk2nx0w8c0Ne3u7EGY3zv\nuO4cGeZ9ABInRE0iDR3LiBodOaRWgahJJaJjHVGjI4fUKhA1qUR0rCNqdOSQWgWiJpWIjnVEjY4c\nUqtA1KQS0bGOqNGRQ2oViJpUIjrWETU6cgiqAlETRKW4224Z95iMve8pH8J1l53M+2h66HZA1PQQ\nSE6jl0BjU7Pc88Azcuvdj6cVucM2G8nZJ42UQQGWF1GThst6A6LGegSBBSBqArFYb0TUWI8gsABE\nTSAW642IGusRBBaAqAnEYr0RUWM9gsACEDWBWKw3ImqsRxBYAKImEIv1RkSN9QgyFoCoyYimWxva\n2tqltLSky3Nku1+XJ+pih1z6+ctFN8s/X37TP+MzD4yRlVYY1MXZo92cy7VEUVl7e7vfTUlJ53kj\naqJIgz5UEGhqbpEZ3870/7/swP6y+qorihlNk2lC1GQiY68dUWOPfWc9I2o6o2NvG6LGHvvOekbU\ndEbH3jZEjT32nfWMqOmMjr1tiBp77DvrGVHTGR172xA19th31jOipjM69rYhauyx76pn10XNdz/M\nkUf//pL30vuv5bNp34h5D4gRCyuvuJwMW3t12cl7VcIqKy+fhOHxp1+RadO/89uOGrmH9O1Tm7Q9\ntvL6W+/Jv9/+wF/dY5dtZM2hQ2Kb/Pmdf/u7zF+w2BcypxxzgMyaM08em/iyTH5vqvx3yscyeNBA\n2WqzDWT7rTeUbTYfHj/2f+9PlRe8VzZM+eAz/ylB5ulAP1/3ZzLy97vIRr9YJ75fdxYWLKyTB5+Y\nJB99+qW8//EX/tOHzOO21l9nqGzn1bPVphuknf6ddz+Rl/81WZ594Y3404r22X176VVdFd937TVW\nkd1/s3V8PZeFJd4j0yY+/y/55PPp8sln0+Xrb37ws1ltlRXkl+uvJb/ZYXPp1zc9C/NEpSeeeU3e\nee8T/3qmz/hBzCPZTL4be7z2/O22UlaW/N7yWF1hZT1v/iJ57OmX5V0vQ5Onmcz9sf3WG8kf9vtN\nWj3jH/2HfPHVt2LqMZP5znqvXbfzlxP/OPawvTv9PjtxX03LPPpMUxoO1oKo0RcaokZfJqYiRI3S\nXKRF5rU3iBE2hTD1LamUISW1YuYuT4ganekhanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6m\nKpdFjRElN935aJdwzzn5j7L/nr+O73fCmVfLv958z1+fOOFqGeJJnaDJPL3n9nuf9DeNufjP8utt\nN07a7Tf7nSwzZ8/128479TC59Jq7k7Ynrlwx6jjZdovhcsPYR3yBkrgtcXnUGYfL3gFf4Cfu09Wy\nEQenjbohLluC9j9grxFyyjG/l8T3ed//8PMy5pYJQbvH28w7wkdfeEJ8PduFd979VC648g755rtZ\nnR5iOO3sCZvY9MOsuXLOpbd68uvTWFPafOPh68pl5x7ti7HUjWFkfcEZR8jVN4/334ue2p9ZH77+\nmnL7NWdJVWVFfPPBx1yY9OqO+IaUhX8+er2T7/9B1KQEyWpuBBA1ufGKYm9ETRSUc+8DUZM7syiO\nYERNFJRz7wNRkzuzKI5A1ERBOfc+EDW5M4viCERNFJRz7wNRkzuzKI5A1ERBOfc+EDW5M4viCERN\nFJTz68NVUTPplbfkjAtvil+0GZViRqOYkQqffv61fDz1q/i2k47aXw47aLf4ehhf3sdP7i2YGpZd\npr+YkR+JU+p7tc16Ta/qJHlhjn3+4eukT++axEOzXjYjPP54wiXx/WNcBvTvI59MnS7vffR5fJsZ\n5XPjFafG15967jW5ZdzjcflkNpjjK8rL4/uYESNnnXRIfD2bhRdf+68vjhL3NTLDvKrC5JQob049\n9kB/ZJHZd9HiJbLz/icnCZEtN/m5P5rGsH3j7ffjpzR1TvzbaKmt7RVvMwtRZD14uWVkmjdaJnEy\njIwMi02nnn+9P4Jq7ryFsaZAsfTgHZeIycq1CVHjWmLK6kXUKAvEKwdRoy8TUxGiRmkujKhRGQyi\nRmUsgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25mKpcFTUHHjUqLmMuPedo2W2nrZIgNzQ0\n+Y+mumXcY/KnP/wuElGz+85by+EH7ibmUV7mfSXmS/ljTr/SeyzbjKTajDTaZ7ft/MezmQ1ffv29\nHHHSZfERMPmOqjHvbjnkuIviIzfM6JcLvdEfifLi//4zRc66+Ja4/Lh19F9ki03WT6rvuDNGxyXI\n096II/MYuXynurp62f0PZ8SvbbutNpSLzjwy6RFnc+YukLH3PSkPP/miJIqaG8Y+LOMmPO13PXS1\nleS6S09KeozdVzO+l5POuTYuxI48ZA85/oh9kkoNS9QYtkccvLus9bMh3qPvSsW8Q/3i0XfJM5Pe\n8Ps3j737xyPXJdXCO2qScLACgaUEEDVLWWhZQtRoSSK5DkRNMg8ta4yo0ZJEch2ImmQeWtYQNVqS\nSK4DUZPMQ8saokZLEsl1IGqSeWhZQ9RoSSK5DkRNMg8ta4gaLUmk1+GiqDESZvOd/xS/mHdevDvt\nnSCxjea9KEYWmNEbsSmML+9vH3OmbLbRerEu4vNXXp8sJ5/b8YW9GS1z1/XnyjprrhrfHlu496Fn\n5dpbH/RXjcgxo4BynRJHrhhR8MwDY6S8PP3dLU8886pc5EkFMxkB8vg9f03qqidFzY13PCJ3jZ/o\nn3+DYWvIvTef70uspA5/WjFCq6WlxX/3jHmknHm0XGx68v4rZbUhK8RW43MjufYaeWZ8fZL36LCw\ns775qtMD3/GTKGJMQf95/k6prl76ePfE7eZ9QQ+MvThet+sLjKhxPUHL9SNqLAcQ0D2iJgCKgiZE\njYIQAkpA1ARAUdCEqFEQQkAJiJoAKAqaEDUKQggoAVETAEVBE6JGQQgBJSBqAqAoaELUKAghoARE\nTQAUJU0uiprm5hbZZMThcYKp7zWJb8iwEIaomfzSPf7IitQuE4XDqkOWl6fuvyp1F3/dvMPFjKox\n007bbyZXXXC8v5zLH6NvGi/mpfVmOucU7708eyx9L0/ieczoj11+f0p8lMsrT90s/fstfdxWT4qa\n/Y84Nz6i6I5rz5ZNfrluYikZl1/6v3fEPC7MTF29F+f0UTfKC6+97e973WUnixm1E5uizNr0mfgu\nmlS5hKiJpcIcAikEEDUpQBSsImoUhBBQAqImAIqCJkSNghACSkDUBEBR0ISoURBCQAmImgAoCpoQ\nNQpCCCgBURMARUETokZBCAElIGoCoChoQtQoCCFDCS6KGnMph3rvYZnivY8lNm24wdqyxy7b+KMx\nVl9lxcCRJLF9o/zy3ozm2WrXo/2uzSPEzKPEgiYzmsRIDTP9astfyvWXnxK0W6dtidc1wRutMcwb\ntZFpMo8Me/WN//mb/3brhbL+ukPju/aUqGlra5MNdzg0ft7ORj7Fd/pp4d4HvRFGt3WMMDrjhIPl\n4H1/k7pLfP1vjzwvV988wV9PfHSaaUhkMtFjPyTDY9xuvftxuf3eJ/1zjLn4z/LrbTf2l2N/mNE9\nRrqZKZOUM9tOPOsaMY+XM5N530zi6ClEjY+FPyCQTgBRk87EdguixnYCwf0jaoK52G5F1NhOILh/\nRE0wF9utiBrbCQT3j6gJ5mK7FVFjO4Hg/hE1wVxstyJqbCcQ3D+iJpiL7VZEje0EMvfvqqh515M0\nf/RkTaZp843Xl11+vbnssuOWUllRnrRblF/eJ47+6UzUmPet7HlIxyO88hU1iTLhhcdukGWX6Z90\n3Ykrl193r/9OGNOWOiKpp0TNdz/Mkd8ecKrfbWfXnlhXbPmSMXfLYxNf9ldHX3SijPjVJrFNafNJ\nr7wlZ1x4k9++3+92kHNPPTS+T5RZm07N+3+ef+k/fv+ImngMLECgcwKIms752NiKqLFBves+ETVd\nM7KxB6LGBvWu+0TUdM3Ixh6IGhvUu+4TUdM1Ixt7IGpsUO+6T0RN14xs7IGosUG96z4RNV0zsrEH\nosYG9ez6dFXUmKszo1Buu+dxMY/JyjSZl73fctUZSdIiyi/vW1paZeMdD/PL60xW9ISo2eq3R0nd\nkga/r9cm3ip9+9RmwiJX3nC/PPD4JH/7JWcfJbv/Zuv4vj0laj6bNkP2O7xjlJDJ4eG7Oh7tFu+o\nk4VE4XHjFafKNpsPz7i3eeyZefyZmX638zZy8VlHxveNMmvTaWLdiJp4DCxAoHMCiJrO+djYiqix\nQb3rPhE1XTOysQeixgb1rvtE1HTNyMYeiBob1LvuE1HTNSMbeyBqbFDvuk9ETdeMbOyBqLFBves+\nETVdM7KxB6LGBvXs+nRZ1MSucP6CRfL+x1/Ih598KR9483+9+V5skz/fZcct5K/nHRtvS/zyPvU9\nIvGdvIWeeBxWlKJm5HEXy3sffe5fwhP3XiGrr7pi4uUkLScKhdvHnCmbbbRefHtPiZol9Q2y5S5H\n+eetramW158dG++jq4Wb73pM7rj/KX+3UacfLnvvtl3GQ8zIGzMCx0xH/3FPOfawveP7Rpm16TSR\nK6ImHgMLEOicAKKmcz42tiJqbFDvuk9ETdeMbOyBqLFBves+ETVdM7KxB6LGBvWu+0TUdM3Ixh6I\nGhvUu+4TUdM1Ixt7IGpsUO+6T0RN14xs7IGosUE9uz4LQdSkXmlDQ5Pcft+TcveEp+ObJr90r5SW\nlvjrie8RmXD7Rf57beI7Jiy4JmpGXXGH/P35//Ov4Ia/nirbbpF5FIp5H44ZkWSm1He39JSoMedO\nfBzbPx+9XpZbdoBp7nIy12Gux0x/POC3csoxB2Q85ppbH5D7HnrO3546OijKrE0B2YqaoautJI/f\n89eM1+TahpJ2b3KtaOrVQwBRoyeLWCWImhgJXXNEja48YtUgamIkdM0RNbryiFWDqImR0DVH1OjK\nI1YNoiZGQtccUaMrj1g1iJoYCV1zRI2uPGLVIGpiJPTNXRQ15ivhhsYm6VVdlRFofUOjbLHz0kdg\nvf7M7VJb28vf/7Jr7pFH/v5Sx/K5x8iuI7YMPM91tz8k9zzwjL8t3xfMRzmixtRqajbTlpv8XG4Z\nfYa/nPpH6vt93nnxbikrK4vv1pOiJnFEyyH77yynHXdQvJ/UBZNrU1OzVFVV+iODzAghM5nROJO8\nd+7U9KpOPcR/1NtO+/45/si3+2+9QH6+7s/i+0WZtem0M1GTeC8MHNBXXnz8Rikp6ZCH8YIdXUDU\nOBqclrIRNVqSWFoHomYpC01LiBpNaSytBVGzlIWmJUSNpjSW1oKoWcpC0xKiRlMaS2tB1CxloWkJ\nUaMpjaW1IGqWstC0hKjRlMbSWhA1S1loW3JR1Mz4dqYccOT5csyhe8v+e+zgf7GfynXWnHmy074n\nxZsTZcS9Dz4r1972oL9t+Pprythrz5bKivL4vgsW1snN4x6Vh598Md7mgqiZN3+R7HbQaXFpMfqi\nE2XErzaJX4NZWLR4iZx41hiZ8sFnfrt5TJh5XFji1JOi5t9vfyDHnnFV/PSZ3jfzzXezvPfm/E02\n3XCYGKFjpM1hJ14ar/PgfX/jSZ4DvVFRpfFztbW1yZhbHpDxj/7Db9twg7Vl3A0d78SJ7RRl1qbP\nzkSN2Z44wui+W0bJBsPWMM3OT4ga5yO0ewGIGrv8g3pH1ARRsd+GqLGfQVAFiJogKvbbEDX2Mwiq\nAFETRMV+G6LGfgZBFSBqgqjYb0PU2M8gqAJETRAV+22IGvsZBFWAqAmioqPNVVGz+8Edo0XMyATz\nAvm1hg7x38kyZ+58+ejTr2TiP/4l5st/Mx20z07ylxP/EAc+9YuvZf8jzouvG1mz/TYbSVVlhUx+\nb6q8/ua7cdkR28kFUWNqvf/h5z15MSFWtvxhv51lm81/ITXeqJTpM36Q2+55Is7FsHt6wtVpI1V6\nUtSYQhLlhVnfa9dfycbD15XBgwbIzNnz5JXXJ8ukV94ym+TUYw+Ukb/fxV/+4ONp8odjL/SXzR9b\nb7aB966a7WX55QbKD7PmyuNPv5z0PqIJYy+WYWutFt/fLESZtekv8VpT31GTut2MFDru8H1k2YH9\nZcGixfLWOx/JqDMOl759as2uTk2IGqfi0lfs2OE36iuqyCta0lQusxdVipkXwtQu7dLqXYjrT2ms\nb2uXuU1t0uDNC2FqNkOk21ulxcvH5anZu7vqpNn7X5vLlxGvvVbKZVBJL6ktcfvzX+ENW67xhoyb\neSFMVeVt0reqTaq9uctTZVmb9KlukUrHryOWQUV5q/eYh0apqDB/y7g7VVU1Sb/+i6W6utndi0io\nvKmxXBYvrvEe11CR0OreYnl5i5dJk5RXtLhXfEDFixf3kpmzBnrZpD8qI2B3tU0t7SXS4H3kW9z+\ncRzn27e2UVYetED6eHOXp5KSdjGyxswLYaqsapHavg1SUeX2z+WGuiqZP6ePNCzJ/Egkl/Ja0lgh\nPy7sJUu8v2dcntq8n2PNbSVSIP+sFO+fyLKouV0aC+CCbp1xgnO3lhlRExM1XRW/3jpDZew1Z/mP\nz0rcN/F9LontictGZMydt9BvckXUNHqPDrvk6nHy9D9fT7yUtGVzbaMvPFE2+sXaadt6WtT8OG+B\nnHnRLfLfKR+n9ZXakChqzLYHHp/kjbS5P3W3tPWzTxopv99rx7R20xBV1qavrkTNl19/L3uNPNPs\nGjjl8h6fwBNYakTUWAJfKN3esO5thXIpBXMdS5rLZE5dhSxpXjqM0eWLa/WEQGN7m7R4c5cnI2gW\ntLZ41+L2dcQyaPOuo9WTNK5fjfmUlHsyoDA+LSJl3pVUlZR5usZtwVHmZWIkTZnblxH7uPiSZpV+\nTdK32u1vBqu8L5x71zR6jzMojC+eyz1RU2W+SPfmLk+l3hebZd41lJa6/hM5lkJ7x08wxz//pvyS\nUvPFc+y63J7X1VXLrFkDxMxdnkq8z0lZWYufjcvXEau9vKxdzM/mck9yuDyZL57b2kq9L54L4wPT\nb2CdrLzmTOnrzV2e6hb0kllfDRQzL4TJeIBWc6+5/telEZqF8VHxb6sWTzo1NpdIS6v7F3XYa+c7\n91FpbW2V19963x81ExuJkXoRRkQcPXJP2WOXbb1fQqlM3SxGaJjRJXdPeDpt26+2/KU/AsfIjlvv\nftzfft1lJ8t2W22YtO9uB50eH50y+aV7vf+uTb8fTK0b/fow/7hVhywvT92/9DFgiSeb4Y3+2d07\nn5l28Eb3XHPJ0se2Je6X7fKzk96Qy669J21kkDneXMeo0w8XwyhoOvGsa+T//jPF3/T8Q9fK8oOX\nCdotpzbzS8yG5013PuqNopmbduy63kiY/bzH2O203abSu7YmaftHU7+S8y6/XaZ99W1Su1kZutpK\ncrn3nqF11lw1bVusIaqsTX+mzpgke2TcZbKmN9IrdXrn3U/l4qvv8kc4pW57wXtvzbID+6U2q19H\n1KiPSHeB16x1h+4Ci7A6I2h+XFJeMKLGjNyob2sVM3d5MrJpYZsRNW7/Q9rlDIJqrywp9UafeCM3\nCkbVBF2le23mv8uNrEn/z3P3rsVUvEyvVlljmUZ/7uYVdFRtHuXUu7ZeKisLQ9QYuVHl/bazmbs8\ntZsvnbwvN8y8EKYyb8SWn0tZAeTifflUKLkYQTN79gBZ4rioMWK22vvclzt+f8U+60ZstLaWOn+f\ntXqSptn7ZTMjawphGrj8AlnzlzNkGW/u8rToxxr5/vNBstibF8LU8Yi9Fu8LYLf/PdYxAs37pYYC\nGYFmPvf+59/7Web6tNNTlzl9CUaEzP5xgXw/c44/+sXIB/NorOWWHeD9kkNZl9dmRnt8Of07mTN3\ngayw3DKy1hqreKPXC2NEnrl4I0U+m/aN1Nc3yMorLierr7JioLjqElQP7lC3pEG+/uYHj/l8GbTM\nAFlx+WWzetyXeXfQF199I+b9QybfNVZfOavjYqVrytqIqzk/zpdvvp/tlzegfx8Z4uWTzT0bux5N\nc0SNpjQcrAVRoy80RI2+TExFiBqduSBqdOaCqNGZC6JGZy6IGsW5IGrUhYOoUReJXxCiRmcuiBqd\nuSBqdOZiqnJd1OglS2UQKB4CiJriyTqUK0XUhIK1WydF1HQLX2gHI2pCQ9utEyNquoUvtIMRNaGh\n7daJETXdwhfawYia0NB268R+LoiabjEM42BETRhUu39ORE33GYZxBkRNGFS7f05ETfcZhnUGRE1Y\nZDkvBIqHAKKmeLIO5UoRNaFg7dZJETXdwhfawYia0NB268SImm7hC+1gRE1oaLt1YkRNt/CFdjCi\nJjS03ToxoqZb+EI7GFETGtpunRhR0y18oR2MqAkNbbdOjKjpFr5QD0bUhIqXk0OgKAggaooi5vAu\nElETHtt8z4yoyZdcuMchasLlm+/ZETX5kgv3OERNuHzzPTuiJl9y4R6HqAmXb75nR9TkSy7c4xA1\n4fLN9+yImnzJhXscoiZcvvmeHVGTL7nwj0PUhM+YHiBQ6AQQNYWecMjXh6gJGXAep0fU5AEtgkMQ\nNRFAzqMLRE0e0CI4BFETAeQ8ukDU5AEtgkMQNRFAzqMLRE0e0CI4BFETAeQ8ukDU5AEtgkMQNRFA\nzqMLRE0e0CI6BFETEWi6gUABE0DUFHC4UVwaoiYKyrn1gajJjVdUeyNqoiKdWz+Imtx4RbU3oiYq\n0rn1g6jJjVdUeyNqoiKdWz+Imtx4RbU3oiYq0rn1g6jJjVdUeyNqoiKdWz+Imtx4Rbk3oiZK2vQF\ngcIkgKgpzFwjuypETWSos+4IUZM1qkh3RNREijvrzhA1WaOKdEdETaS4s+4MUZM1qkh3RNREijvr\nzhA1WaOKdEdETaS4s+4MUZM1qkh3RNREijvrzhA1WaOKfEdETeTI6RACBUcAUVNwkUZ7QYiaaHln\n0xuiJhtK0e+DqImeeTY9ImqyoRT9Poia6Jln0yOiJhtK0e+DqImeeTY9ImqyoRT9Poia6Jln0yOi\nJhtK0e+DqImeeTY9ImqyoWRnH0SNHe70CoFCIoCoKaQ0LVwLosYC9C66RNR0AcjSZkSNJfBddIuo\n6QKQpc2IGkvgu+gWUdMFIEubETWWwHfRLaKmC0CWNiNqLIHvoltETReALG1G1FgC30W3iJouAFnc\njKixCJ+uIVAgBBA1BRKkrctA1Ngin7lfRE1mNja3IGps0s/cN6ImMxubWxA1Nuln7htRk5mNzS2I\nGpv0M/eNqMnMxuYWRI1N+pn7RtRkZmNzC6LGJv3MfSNqMrOxvQVRYzsB+oeA+wQQNe5naPUKEDVW\n8Qd2jqgJxGK9EVFjPYLAAhA1gVisNyJqrEcQWACiJhCL9UZEjfUIAgtA1ARisd6IqLEeQWABiJpA\nLNYbETXWIwgsAFETiEVFI6JGRQwUAQGnCSBqnI7PfvGIGvsZpFaAqEklomMdUaMjh9QqEDWpRHSs\nI2p05JBaBaImlYiOdUSNjhxSq0DUpBLRsY6o0ZFDahWImlQiOtYRNTpySK0CUZNKRM86okZPFlQC\nAVcJIGpcTU5J3YgaJUEklIGoSYChaBFRoyiMhFIQNQkwFC0iahSFkVAKoiYBhqJFRI2iMBJKQdQk\nwFC0iKhRFEZCKYiaBBiKFhE1isJIKAVRkwBD2SKiRlkglAMBBwkgahwMTVPJiBpNaXTUgqjRl4mp\nCFGjMxdEjc5cEDU6c0HU6MwFUaM4l7YSMfkUwlRXVy2zZw+QJd7c5QlRozM9RI3OXBA1OnNB1OjM\nxVSFqNGbDZVBwBUCiBpXklJaJ6JGXzCIGn2ZmIoQNTpzQdTozAVRozMXRI3OXBA1inNB1KgLB1Gj\nLhK/IESNzlwQNTpzQdTozMVUhajRmw2VQcAVAogaV5JSWieiRl8wiBp9mZiKEDU6c0HU6MwFUaMz\nF0SNzlwQNYpzQdSoCwdRoy4SvyBEjc5cEDU6c0HU6MzFVIWo0ZsNlUHAFQKIGleSUlonokZfMIga\nfZmYihA1OnNB1OjMBVGjMxdEjc5cEDWKc0HUqAsHUaMuEr8gRI3OXBA1OnNB1OjMxVTlmqhZ1Hig\niHlCa3sC0wJe71P1QMKFsggBnQQQNTpzcaYqRI2+qBA1+jIxFSFqdOaCqNGZC6JGZy6IGp25IGoU\n54KoURcOokZdJH5BiBqduSBqdOaCqNGZi6nKOVFTf4BemCFU1qfXgyGclVNCoGcJIGp6lmfRnQ1R\noy9yRI2+TExFiBqduSBqdOaCqNGZC6JGZy6IGsW5IGrUhYOoUReJXxCiRmcuiBqduSBqdOZiqnJO\n1Cw5wBtQU+INqDFDajqG0ixd7+C8dN397X1qGFHTkSp/aiaAqNGcjgO1IWr0hYSo0ZeJqQhRozMX\nRI3OXBA1OnNB1OjMBVGjOBdEjbpwEDXqIvELQtTozAVRozMXRI3OXExVzomaxUU2oqY3I2r0fnqo\nLEYAURMjwTwvAoiavLCFehCiJlS8eZ8cUZM3ulAPRNSEijfvkyNq8kYX6oGImlDx5n1yRE3e6EI9\n0M8FURMq43xOjqjJh1r4xyBqwmecTw+ImnyohX8MoiZ8xvn24JqoWbzQEzWxd9IUwbx3H0RNvvc2\nx0VHAFETHeuC7AlRoy9WRI2+TExFiBqduSBqdOaCqNGZC6JGZy6IGsW5IGrUhYOoUReJXxCiRmcu\niBqduSBqdOZiqnJN1Cya/3u9MEOorE//h0I4K6eEQM8SQNT0LM+iOxuiRl/kiBp9mZiKEDU6c0HU\n6MwFUaMzF0SNzlwQNYpzQdSoCwdRoy4SvyBEjc5cEDU6c0HU6MzFVOWaqFk8r7hETe8BiBq9nx4q\nixFA1MRIMM+LAKImL2yhHoSoCRVv3idH1OSNLtQDETWh4s375IiavNGFeiCiJlS8eZ8cUZM3ulAP\n5NFnoeLN++SImrzRhXogoiZUvHmfHFGTN7pQD0TUhIq3Wyd3TtT8uL9/ve3en+bJZ7GpUNd7L/Nw\n7BKZQ0AtAUSN2mjcKAxRoy8nRI2+TExFiBqduSBqdOaCqNGZC6JGZy6IGsW5MKJGXTiIGnWR+AUh\nanTmgqjRmQuiRmcupirnRM0cI2piL6eJcS3c9d7LImpiKTPXSwBRozcbJypD1OiLCVGjLxNTEaJG\nZy6IGp25IGp05oKo0ZkLokZxLogadeEgatRF4heEqNGZC6JGZy6IGp25mKqcEzUz9/M8jSdm2r0x\nNGlz74L8oTWFs733cogavZ8eKosRQNTESDDPiwCiJi9soR6EqAkVb94nR9TkjS7UAxE1oeLN++SI\nmrzRhXogoiZUvHmfHFGTN7pQD+TRZ6HizfvkiJq80YV6IKImVLx5nxxRkze6UA9E1ISKt1snd07U\n/LCfN56mxPMx7Wnz2EibQtpeuzyipls3OAdHQgBREwnmwu0EUaMvW0SNvkxMRYganbkganTmgqjR\nmQuiRmcuiBrFuTCiRl04iBp1kfgFIWp05oKo0ZkLokZnLqYq50TNd96ImiKaeq/4SBFdLZfqKgFE\njavJKakbUaMkiIQyEDUJMBQtImoUhZFQCqImAYaiRUSNojASSkHUJMBQtIioURRGQimMqEmAoWgR\nUaMojIRSEDUJMBQtImoUhZFQCqImAYayRddETd23xSVqaldC1Cj7yFBOAAFETQAUmrIngKjJnlVU\neyJqoiKdWz+Imtx4RbU3oiYq0rn1g6jJjVdUeyNqoiKdWz+Imtx4RbU3oiYq0rn1g6jJjVdUeyNq\noiKdWz+Imtx4RbU3oiYq0rn345qoWfz1vrEnnBXFvPeQR3MPlSMgEDEBRE3EwAutO0SNvkQRNfoy\nMRUhanTmgqjRmQuiRmcuiBqduSBqFOfCo8/UhYOoUReJXxCiRmcuiBqduSBqdOZiqnJN1NRN90RN\n6lTiNbSnNiasO7y9dlVETUKSLColgKhRGowrZSFq9CWFqNGXiakIUaMzF0SNzlwQNTpzQdTozAVR\nozgXRI26cBA16iLxC0LU6MwFUaMzF0SNzlxMVc6Jmi/38aou8bxMu/dnbCrc9drVH4tdJHMIqCWA\nqFEbjRuFIWr05YSo0ZeJqQhRozMXRI3OXBA1OnNB1OjMBVGjOBdEjbpwEDXqIvELQtTozAVRozMX\nRI3OXExVzomaaR2ipmMITWyoTOHOa4cyokbvp4fKYgQQNTESzPMigKjJC1uoByFqQsWb98kRNXmj\nC/VARE2oePM+OaImb3ShHoioCRVv3idH1OSNLtQD/VwQNaEyzufkiJp8qIV/DKImfMb59ICoyYda\n+McgasJnnG8Pzomaz/f2LrVwxUyqgKpdgxE1+d7bHBcdAURNdKwLsidEjb5YETX6MjEVIWp05oKo\n0ZkLokZnLoganbkgahTngqhRFw6iRl0kfkGIGp25IGp05oKo0ZmLqco5UTN1HynxPE27906aYpjX\nrImo0fvpobIYAURNjATzvAggavLCFupBiJpQ8eZ9ckRN3uhCPRBREyrevE+OqMkbXagHImpCxZv3\nyRE1eaML9UBG1ISKN++TI2ryRhfqgYiaUPHmfXJETd7oQj0QURMq3m6d3DlR84k3oqZ4BtRI7dqP\ndytfDoZAFAQQNXlQXlLfIFWVFVJWVpbH0YV1CKJGX56IGn2ZmIoQNTpzQdTozAVRozMXRI3OXBA1\ninNhRI26cBA16iLxC0LU6MwFUaMzF0SNzlxMVa6JmiUfm0efFc9Usy6ipnjSdvdKi1bUvPPup7LM\nwL6y2pAVckpvztwFctwZV8mYi/8sQ1YanNOxhbgzokZfqogafZmYihA1OnNB1OjMBVGjMxdEjc5c\nEDWKc0HUqAsHUaMuEr8gRI3OXBA1OnNB1OjMxVTlmqip+3AvvTBDqKx2vSdCOCunhEDPEihaUfPY\nxJfl5nGPybgbzs1a1nz3wxw56tQr5JvvZsnE8aMRNd69iKjp2Q9kT5wNUdMTFHv+HIianmfaE2dE\n1PQExZ4/B6Km55n2xBkRNT1BsefPgajpeaY9cUYefdYTFHv+HIianmfaE2dE1PQExZ4/B6Km55n2\nxBkRNT1BMZxzuCZqlnxQXKKmZn1ETTh3PmftSQJFLWouGXO3DBzQV+658TxZZeXlO+U67atv5U+n\n/FXmzlvo74eo6cCFqOn0trGyEVFjBXuXnSJqukRkZQdEjRXsXXaKqOkSkZUdEDVWsHfZKaKmS0RW\ndkDUWMHeZaeImi4RWdkBUWMFe5edImq6RGRlB0SNFexZdeqcqHlvT++6vJfUtLd7s6Uvq2n31ksS\n1gtle80GiJqsbmR2skqgaEXNE8+8KheNvsuHb2TNvTedn3GEzAcfT5OjT7tC6pY0+PvX1lTLMw+M\nkf79+lgNT0PniBoNKSTXgKhJ5qFlDVGjJYnkOhA1yTy0rCFqtCSRXAeiJpmHljVEjZYkkutA1CTz\n0LKGqNGSRHIdiJpkHlrWEDVakkiuA1GTzEPTmnOiZoo3osb3Mz+JGm9WyOs1v0DUaPq8UEswgaIV\nNQ0NTXL6BTfIv958zyeTSda8OflDOfrUK+P0Bg8aKLdfc2bWam3k4QAAPKdJREFUj0uLH1igC4ga\nfcEiavRlYipC1OjMBVGjMxdEjc5cEDU6c0HUKM6Fd9SoCwdRoy4SvyBEjc5cEDU6c0HU6MzFVOWc\nqJlsRtQUz1Sz4ZPFc7FcqbMEilbUmMSamlvkLxfeJK+8PtkP0Jc1N4+SISsu56+/+Np/5bRRN/jL\n5o9VhywvY685S4ysYeoggKjRdycgavRlYipC1OjMBVGjMxdEjc5cEDU6c0HUKM4FUaMuHESNukj8\nghA1OnNB1OjMBVGjMxdTlXOi5p0iEzUbIWr0fnqoLEagqEWNgdDsyZpzLrtNJr3yls/EyJr7PFnz\n3ymfyIVX3RnjJBsMW0NuvOI06de3Nt7GgsgN695WMBhavH9MN7aUipm7PDV517CoqUyaWt2+jlgG\n9W1tMrelWRra22JNTs6bvee8NnjX0iJmPLH7k7m7Sr1x0eZ/Lk9VJaXSr6xMqr15IUz+P9y8SIzo\ncHkqL2uT6soWqfDmhTANGNgiP/tZvQwY2Oz25ZgnwC5ol/ZGty8jVn15WatUVjeLmbs8tbWXSFtr\nqbQ7/t8vsQxKStvEfJleWur235el5W1S6f0cM/NCmBrqK2X+vN7S0FDl9OWYvx69fwA7/l8vCRF4\nF2T+7vcuKqHRvUUjnE0qbl/FUu79Bi2WVYb9IP29uctT3bxeMmvaADHzQpnM58X5O+2nz73/CpEC\nCMa8HqVQfipv99BVTiWy5O2YqDE/fRP/AVmY6zWbIGqcukGLtNiiFzUm99bWVhl1xR3yzKQ3Am+D\nrTfbQEZfdKL0qnb7HyaBF9fNxrHDb+zmGfQcXtdYJjMXVcpiT3K4PJkvzsvMf7wl/UXr7hXNbW2W\naY31Mq+1xd2L8Cov8f4BWur/L/E/gNy9pDLv/qoqKZMy75pcnmrLSmW5yjLpbT40BTCVef/4rC5v\nl3LHv+DsVd0kyw5YLL16NRVAKiL9hzbKKiMW+HOXL2jRtGr5/oX+YuaFMBlBU1XVLGWeFHB5amsr\nldaWMmkrEFFjvrBt9a7FzF2eano3yLLLz5ea3oVhNlu9XwRqbKjw7jW3/95vaqyQugW10uRdSyFM\n5eUtUuX9XVle4fbPMfNzuKLaE5sVhSE2e/VtlAGrLBQzd3lqWFgpC2b0ETMvhMn8/DKfffN3psuT\nLzbM35EFYjbLzC82eL84U+b4zzFzT2089ianbq0lb8VEjVNl511szaaImrzhcWBkBBA1P6E2suaS\nMXfLk8++lgR/1xFbyoV/+ZNUVJQntbPSQWDcRtcXDIoF9eUyfV61mLnLU4X37+deFe1i5oUwzW5p\nkg/r62SWN6rG5ancExrVJeVi5oUwVXjX0asArqdPeYmsWFUmfcoLJBdP0NR4X3JUOC5qetc2yAqD\n50kfb14IU9/1GmTIfvOk73r1Tl/Oj1N6y2f3rSBmXgiT+WLQiBrnR9R4oqal2Yiawvg5FnsEUqs3\nSsjlqU//Ollp9dnS15sXwuSPePBGazs+wFnq66pl7sx+/rwQcqmobJbaPvXe6C3H/zu5qlV69WmU\ncm8UWiFMFbUtUjvYy6W329fTtKhCFn3XS8y8EKbmpnKpX1QtZu7yZH4et5mfx47/QkMsgwrvc9+r\nT4OYuevTBjfe7tQl1P1nD69e84sxsRE0hT2v3RxR49QNWqTFImoSgm9ra5crrr9PHn7qRb/VPAZt\n0qPXS5n3WBymYAKImmAuNlsRNTbpZ+4bUZOZjc0tiBqb9DP3jajJzMbmFkSNTfqZ+zaCBlGTmY+t\nLYgaW+Q77xdR0zkfW1vLETW20HfaL6KmUzzWNiJqrKHvsmPnRM2/i2tETe0WiJoub2J2sE6g4EWN\nkS8t3miZbKd27x0SV988QR75+0v+IQfsNUJOOfYA79m/yY9fqGSEjc8HUZPtnRXdfoia6Fjn0hOi\nJhda0e2LqImOdS49IWpyoRXdvoia6Fjn0hOiJhda0e2LqImOdS49IWpyoRXdvoia6Fjn0hOiJhda\n0e2LqImOda49OSdqXu8QNbFxNLHrLdT12q0QNbGMmeslUPCi5vFnXpGLR4/r8QQmTrhahqy4XI+f\n17UTImr0JYao0ZeJqQhRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlxM\nVc6Jmn8ZURN79FmMa+Gu126NqImlzFwvgYIXNY9NfNl/90xPRzBx/GgZstLgnj6tc+dD1OiLDFGj\nLxNTEaJGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBqduZiqXBM1i1/1RE3M\nyxTBvPe2iBq9nx4qixEoeFEz6dW35aY7H4ldb4/Nx15zlgweNLDHzufqiRA1+pJD1OjLxFSEqNGZ\nC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcupirnRM0rRtR4hqbde9hZXNQU\n7nrvXyFq9H56qCxGoOBFTexCmYdDAFETDtfunBVR0x164R2LqAmPbXfOjKjpDr3wjkXUhMe2O2dG\n1HSHXnjHImrCY9udMyNqukMvvGMRNeGx7c6ZETXdoRfesYia8Nh258yImu7QC/dY10TNopf2XOpp\njJ/x8Pi+xnibmK9JnDu+vff2iJpwPwGcvScIIGp6gmIRnwNRoy98RI2+TExFiBqduSBqdOaCqNGZ\nC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmYqpyTdQsfnGvFDPjXUSSqSms9d47PGFiYoKA\nagKIGtXx6C8OUaMvI0SNvkxMRYganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25\nIGp05mKqck3ULJrkPfqsiKY+IxhRU0RxO3upiJqfomtubpEfZv0o33w3W+YvXCQD+/eVzTZaLx7s\n4rol0tra5q/3ru0lZWVl8W3FvICo0Zc+okZfJqYiRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU\n6MwFUaMzF0SNzlwQNTpzMVU5J2r+aUSNP4SmKOZ9dmJEjblPmXQTKHpRs2DhYrntnifkgccnJSU1\nfP015Z6bzo+3HXP6VfKf/37gr59/2mGyz+7bx7cV8wKiRl/6iBp9mZiKEDU6c0HU6MwFUaMzF0SN\nzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMxVTlmqhZ+Lz3jhqv7vi7abzl+LtpUttj694B7eYd\nNrH11Lni7X12ZkSNFxeTcgJFLWo++Wy6HHHSZVK3pCEtplRR8/mX38i+h53j77fhBmvLuBvOTTum\nGBsQNfpSR9Toy8RUhKjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLqYq\n10TNoue8d9QU0dRnF0bUFFHczl5q0YqaxsYmOfDoC2TaV9/64dXWVMvOv95CvvCEzJQPPpNUUWN2\nOu6M0fLG2+/7+7/w+I2y7MB+/nKh/vGux2HchKf9yztk/51l4+Hrpl0qoiYNifUGRI31CAILQNQE\nYrHeiKixHkFgAYiaQCzWGxE11iMILABRE4jFeiOixnoEgQUgagKxWG9E1FiPILAARE0gFuuNiBrr\nEWQswDVRs/CZ4npHTd9dGVGT8eZlgxoCRStq/v78/8moK+7wg9hhm43kojOPlD69a+RuT0xcP/bh\nQFFzzwPPyHW3P+Qfc9f158pGv1hbTZA9XciMb2fKAUeeHx9tdNm5x8iuI7ZM6wZRk4bEegOixnoE\ngQUgagKxWG9E1FiPILAARE0gFuuNiBrrEQQWgKgJxGK9EVFjPYLAAhA1gVisNyJqrEcQWACiJhCL\n9UZEjfUIMhbgnKh5urhG1PTdjRE1GW9eNqghULSi5vLr7pWHn3xRzEiaZx+8Rvr17e2H0pmoefOd\nD+Xo067097v0nKNlt522UhNkTxayYGGdjDz+Ipk+44f4aRE1cRTqFxA1OiNC1OjMBVGjMxdEjc5c\nEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXU5VrombB3807akq8d9S0F8W87+8QNXo/PVQW\nI1C0oubgYy6UDz+ZJltvtoHcdOXpMR6djqj5YdZc2Xn/k/19TzpqfznsoN3ixxXKQlNzi/+It/9O\n+TjpkhA1SThUryBqdMaDqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcu\npirXRM3Cp4psRM0eiBq9nx4qixEoWlFz4FGj5OOpX8nuO28tl5x1VIxHp6Lmk8+m+48DMzsX4oia\n9vZ2GXXlHTLx+X/5PG684lQ58axr/GVEjY/BiT8QNTpjQtTozAVRozMXRI3OXBA1OnNB1OjMBVGj\nMxdEjc5cEDU6c0HU6MwFUaMzF1OVa6JmwRPmHTUl3v/bi2Leby9EjRc0k3ICRStqzPtpzHtqNhi2\nhtx3y6h4TJ09+uzpf74u511+u7+vOcYcW0jT2PueklvGPeZf0q2j/yKrr7pifAQRosadpBE1OrNC\n1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXU5Vzoubx4hpR029vRI3e\nTw+VxQgUragZ/+g/ZPRN430Oj4y7TNYcOsRfziRqzCPB9v7jWfLNd7P8/V5+8mYZ0L9PjKPz8+de\n/Lecfcmt/nWMOv1w2Xu37STxUW+IGnciRtTozApRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6\nc0HU6MwFUaMzF0SNzlxMVa6JmvmP7hUfTxOjGhtfU4jr/fdF1MRyZa6XQNGKmqlfzJD9jzjXT2bd\ntVbz3lNzmiwzoF/go8/qljTIFTfcF38k2KYbDpOx15ylN9UcK/vf+1PlsBMv9Y869MBd5eSjf+8v\nI2pyBKlkd0SNkiBSykDUpABRsoqoURJEShmImhQgSlYRNUqCSCkDUZMCRMkqokZJECllIGpSgChZ\nRdQoCSKlDERNChAlq4gaJUEElOGcqHlkqaiJCZpCnvfbD1ETcNvSpIxA0Yoak8Pt9z4pt979uB9J\nbU21HP3HveTjz76S5174t6y84nJy1kkjZdpX34oZfTNz9tx4dE/ce4X/WLB4g8MLM76d6b93x8io\nHbfdRK668HgpLS31rwhR42awiBqduSFqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkg\nanTmgqjRmYupyjlR81BxPfqs/+8RNXo/PVQWI1DUoqalpVWOOvUKmfzepzEeXc5PPHI/OeLg3bvc\nz4UdFixcLAcfc6H/OLf11hkqd113jlRXV8ZLR9TEUTi1gKjRGReiRmcuiBqduSBqdOaCqNGZC6JG\nZy6IGp25IGp05oKo0ZkLokZnLoganbmYqpwTNQ/+JGraveLNUJrYVKDr/Q9A1MQiZq6XQFGLGhNL\na2urPP7Mq3LdbQ+KGVWSaTIjbMy7W8xjzwpluv/h52XMLRPEjCYaf/tFMmhg/6RL+37Wj7LvYef4\nbeeeeqj89tdbSElpidT0qo7vN26j6+PLri8sqC+X6fOqxcxdnhA1OtND1OjMBVGjMxdEjc5cEDU6\nc0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXU5VrombehOIaUTPgIESN3k8PlcUIFL2oiYGYv2CR\n/OedD2X6jB/kqxnfy8xZc2WlFQfJ0FVW9B9ztvlG6yeNNokd5/L8voeek2tufSDnS5jyyn3xYxA1\ncRRqFhA1aqJIKgRRk4RDzQqiRk0USYUgapJwqFlB1KiJIqkQRE0SDjUriBo1USQVgqhJwqFmBVGj\nJoqkQhA1STjUrCBq1ESRVohzoma8eUdNibR7/yuGef+DO159kRYcDRBQRABRoyiMqEtB1CQTZ0RN\nMg8ta7NbmuTD+jqZ1dKspaS86kDU5IUt9IMQNaEjzqsDRE1e2EI/CFETOuK8OkDU5IUt9IMQNaEj\nzqsDRE1e2EI/CFETOuK8OkDU5IUt9IMQNaEjzrsD10TN3PuL69FnAw9hRE3eNzcHRkYAURMZan0d\nNTY1S3195se9mXfUHHDk+X7hZ580Un6zw2ZSWloqffvUxi+GETVxFGoWGFGjJoqkQhA1STjUrCBq\n1ESRVAiiJgmHmhVEjZookgpB1CThULOCqFETRVIhiJokHGpWEDVqokgqBFGThEPNCqJGTRRphTgn\nau7bO+0aCrlh4MhoR9Q0NDQV3JOZCvn+0HJtiBovCfOemnc//Fy++W6WfP3NTJnnPQZtlZUGyx8P\n+G08p7cmfyRLfpIaGwxbQwYO6BvfVqgLRtTsvP/J/uVddu4xsuuILdMuFVGThsR6A6LGegSBBSBq\nArFYb0TUWI8gsABETSAW642IGusRBBaAqAnEYr0RUWM9gsACEDWBWKw3ImqsRxBYAKImEIv1RkSN\n9QgyFuCaqPnxHiNqSrz/tydcU+GuL3NofqLm3Q8+k3ETnvYZHbL/zrLx8HUTeCUvTvH2ffTvL4mZ\nm++YzTvBN/nlMNl2y+Gy967bJe/MGgQCCBS9qPnvlI/lqhv/JlO/mJGEZ/j6a8o9N3WMJjEbLhlz\ntzw28WV/n+OP2EeOPGSPpP0LcQVR42aqiBqduSFqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZn\nLoganbkganTmgqjRmYupyjlRc/c+emGGUNkyhz2W81lnfDvTf9JQ3ZKOpxFl+iV2c+JJr7wlZ1x4\nU8Y+Dtx7hJxxwsH+k4oy7sSGoidQ1KLmHy+9KWdefHPgTZAqaubOWyg77HWCv++qQ5aXp+6/KvC4\nQmpE1LiZJqJGZ26IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOZiqnJN\n1My5q7hEzbJH5CZqFiysk5HHXyTTZ/wQv+kyiRrzy//7H3Guv595AtPRI/eUYeus7o+qeeSpl2Ty\ne5/620477iAxo3KYIJCJQNGKmtlz5smeI8+UmBXdcpOfy+47by2vv/mePP3P1yVV1BiA511+u7/N\nLE8cP1qGeI9HK+Rplsdop31P8i/xcu/RZ7/l0WdOxI2o0RkTokZnLoganbkganTmgqjRmQuiRmcu\niBqduSBqdOaCqNGZC6JGZy6IGp25mKqcEzV37qsXZgiVLfunR7M+a1Nzixx3xmgxT2FKnDKJmqtv\nniB/e+R5f9fxt10o660zNH7Y4rolcvAxF/rCZ+UVl/O/Ty4pMY+YY4JAOoGiFTUPPjFJrrj+fp/I\ncYfvI0eN7HiU2d3ecwevH/twoKh5+KkX5fJr7/WPuXX0X2SLTdZPJ1pkLbyjRl/giBp9mZiKEDU6\nc0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMxVTlmqiZPdYTNbFX0hTBfNCR\n2Yma9vZ2GXXlHTLx+X/5N9uNV5wqJ551jb8cJGoaG5v8JzCZgQA7bb+ZXHXB8f6+iX889dxrcsGV\nd/pN5jUbZnAAEwSCCBStqImNjhk8aKA8++AYKSsr8/l0Jmre++hzGXncxf5+o04/XPbebbsgpkXV\nhqjRFzeiRl8mpiJEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1OnMxVbkn\navbzYbZ7fyaO7yjU9UFHPeJfb1d/jL3vKbllXMdj0swv6a++6oqy8/4n+4cFiZpPPpvuv8fG7HDO\nKX+U/ff4dVoX5l03ux98ht9+8tG/l0MP3DVtHxogYAgUragxzw40zxDccdtN5OqLT4zfDZ2Jmpmz\n58pv9uv4cPLB6kCGqInfOmoWEDVqokgqBFGThEPNCqJGTRRJhSBqknCoWUHUqIkiqRBETRIONSuI\nGjVRJBWCqEnCoWYFUaMmiqRCEDVJONSsIGrURJFWiGuiZuZt+8UH1MQuxh9Yk2BqYgNtCmH74GO6\nFjXPvfhvOfuSW/3Ljf2Cflfv7/732x/IsWd0vMf87hvPk1/+fK0YrqT58O1G+uvmHTXmXTVMEAgi\nULSi5tATLpEpH3wmO++wuVwx6rg4m3seeEauu/2hwEefJY6oGX3RiTLiV5vEjyvWBUSNvuQRNfoy\nMRUhanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZmLqco5UXPr/nphhlDZ\n4GMf7vSs/3t/qhx24qX+PmbEi/kFfTN1JWqemfSGnHvZbf6+D991qaz1s1X85dQ/tvrtUf570nfZ\ncQv563nHpm5mHQI+gaIVNVfecL888PgkWXXI8vLU/R3m0xDpbETNvQ8+K9fe9qAP7sE7LpF11lzV\nXy7mPxA1+tJH1OjLxFSEqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcu\npirXRM0PNxeXqFn++Myixjya7IAjz/dFinny0lUXHi+lpaX+zdaVqLnvoefkmlsf8PedOH60DFlp\nsL+c+sduB50u33w3SzYevq7ced3ZqZtZh4BPoGhFzRPPvCoXjb7Lh3DdZSfLdltt6C9nEjU/zlsg\nv/OeJ2heDmWm158dK7U11f5yMf+BqNGXPqJGXyamIkSNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB\n1OjMBVGjMxdEjc5cEDU6czFVOSdqbuoYMaKXaM9WtvwJDwWecMHCxXLwMRf6EmW9dYbKXdedI9XV\nlfF9uxI1d42fKDfe0fFYtWceGCMrrTAofmziAqImkQbLmQgUraiZ8+N82eOQv/jixQiXay89WTbd\ncFjgiBrzYqhzvGFs07761ue4/56/lnNO/mMmpkXVjqjRFzeiRl8mpiJEjc5cEDU6c0HU6MwFUaMz\nF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1OnMxVbkmar6/obhEzQp/DhY19z/8vIy5ZYL/y/jjb79I\nBg3sn3STfT/rR9n3sHP8tnNPPVR+++stpKS0RGp6dfzyfuJAgMfv+asMXW2lpONjKzvsdYLMnbcw\n7V3pse3MIWAIFK2oMRf/wmtvy+mjbjSL/rTN5sNl7vyF8uEn0/wP6O/33FE+m/aN/N9/psR28duf\nffBa6de3Nt5WzAuIGn3pI2r0ZWIqQtTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU\n6MwFUaMzF1OVc6Lm+gP0wgyhshVO6niVReqpEx9dlrqts/Upr9znb371jf/JSedc6y9P8ETPsLVX\nDzxs+HYj/fYD9hohZ510SOA+NEKgqEWNif+WcY/J2PueyupOMCNvrrzgBNl6sw2y2r8YdkLU6EsZ\nUaMvE1MRokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25mKpcEzXfXeuJ\nmhKv8Hbv/0UwX/HkcETNex99LiOPu9jcAjL6ohNlxK828ZcT/5g3f5Fsv+fxftNxh+8jR43cI3Ez\nyxCIEyh6UWNITP1ihlxx/X0y+b1P42BSF3bZcQs54/iDZeCAvqmbinodUaMvfkSNvkxMRYganbkg\nanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05mKqck/UHKgXZgiVrXjKA4FnbWxq\nlvr6jveRB+1g3lFzwJHn+5vOPmmk/GaHzaS0tFT69ul40lKihDlw7xFy5p/TR8u88vpkOfnc6/xz\njL7wBBmx3aZBXdEGgeJ+9Fli/u3t7TJrzjyZ8e1M+fqbmTLfe5nUsgP7yaorLy+rDlle+vfrk7g7\nyz8RQNTouxUQNfoyMRUhanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZmL\nqco1UfPNmAOLYSBNfMDQSqcFi5qu7igjanbe/2R/t8vOPUZ2HbFl2iFGwhgZY365/4l7r/Bel9E7\nvo/5vvmU8673t5snNb34+E1SXV0Z384CBBIJMKImkQbLORNA1OSMLPQDEDWhI86rA0RNXthCPwhR\nEzrivDpA1OSFLfSDEDWhI86rA0RNXthCPwhREzrivDpA1OSFLfSDEDWhI86rA0RNXthCPwhREzri\nvDtwTtRcfVBc1MQuuuMJaLFnoS19IlohbF/59Amxy8hpno2oee3fU+TPZ1/jn3fzjdf3R9Ws5v3S\nvxltM/7Rf8hd4yf62w7aZyf5y4l/yKl/di4uAkUraubMXSD1DY0yZMXliivxHr5aRE0PA+2B0yFq\negBiCKdA1IQAtQdOiajpAYghnAJREwLUHjgloqYHIIZwCkRNCFB74JSImh6AGMIpEDUhQO2BUyJq\negBiCKdA1IQAtQdOiajpAYghncI1UTPjqkyiZimg2KtrYi0urw/5S3iiprW1VS4aPU7+/vz/xVCl\nzdf62RC5+crTZdCyA9K20QCBGIGiFTWPTXxZLhlztwweNFC23vwXsukvh8lGv1hbll2mf4wN8ywI\nIGqygBTxLoiaiIFn2R2iJktQEe+GqIkYeJbdIWqyBBXxboiaiIFn2R2iJktQEe+GqIkYeJbdIWqy\nBBXxboiaiIFn2R2iJktQEe+GqIkYeA7dOSdqrjw4h6tzf9chZ47P6yLMazJ22vck/9jLvUef/Tbg\n0Wdmo3nE2e33Pin3P/yc1C1JfufNDttsJBefdaT0rq3JqwYOKh4CRS9qUqM276PZZvPhsumGw2T4\n+mvGXw6Vuh/rHQSuWPfGgkGxuKlMZi6sFDN3eSopaZeysjbv5WZtLl9GvPa5rS0yrbFe5rU2x9tc\nXKgoKZPeUiGV4vb9FWNf6g2SLi8p9a7G/E6Nu1O/8lJZpbpczLwQpuqKVulf0yTVla1OX05tTYMs\nt9wCqa1pdPo6YsX3Htoog0csEDN3eZr/aY1MnzhI5n/a8eJMl6/F1G7+nqyoaPHm5vEO7k4lXv0l\nFd7/C+PHmLR5f6+0Sqm0OX5B1ZWN0r/vIqmucvtzH/9keB8T8+Wg/6D3eKN7C431lbJgbm9prK9y\nr/iAiisqm6Wmd4NUVLYEbHWnyfw8Lqv0Pv2O/zyOEa/u1yR9V62Tqn5u//ulcX6FLPy6RhoXVMQu\nzel5w5JKmT+3jzR4Pwdcnsx/t1SUeX9TFsjnxXzuy7x/u5QUwPcX2/5tjFO31td/PcirNzZGpvDn\nq5ydn6jJNVQjbL75bpZMm/6dPzhg6GorSWVFea6nYf8iJVC0oua/Uz6Wa297SD78ZFqn0a+3zlDZ\natOfy8bD15UNhq3BC59SaP1hudtSWtxdbW4tkSXNpdLc5vYXz83e1xtLpEmaxe1/sMXupPr2NpnX\n3iRm7vLUS8plYEm11HjzQphavW9qWrxM2hz/xmaZijJZq1eVLFNeGAKtb22jrOwJjr7elzYuT9W9\nmqT/Moul2pNOhTBVDWiRvkOXSNUAt7+wWTK7SuZ82FfMvBAm/29739G4/fd+ZW2z9F6uXiq8eSFM\nJd73ZyWeCyxx/HvB1roSafqhXFrrCsSgeX/fm18GKnH74yItzWWepKmUVm9eCFO5J2iqa5uk3PtF\nDZcnk4v5Er2luTD+O7l2uQYZ9PP5YuYuT/VzKmXeJ72l4Ue3xUYsgwULamTG14Nk4UK3f+GkuqpZ\nBvSt876bKoy/95u9z/0S7+dyU4v7n/9DXj8jdrs5Mf/68oO9Os1f7LF30nhz8xe9JxrS2mP7Obx9\nlXP+5kQuFFncBIpW1MRib2hokk8/ny7vf/yFvPvh5/LGW++lDVGL7WvmZqSNeTHUAXvtKDW9qhM3\nFeXyTr3vKJjrNn8VtXp/IbWZBYenBk/QzGtv8MRGYYiaFk8F1Je0evrJbVFT442mGVTSS2q9eSFM\nfi7ePdbseC6DvN9sWc/7WW7mhTAN6LtEhq78o/ePtyVOX05lr2bpM9D7TVRvXghTea9W6dW/USp6\nuf1zuXGR95u1P9SKmRfCZEYHtLeWSrvjv6BR7d1bA1bxRm5480KYSqu936wd0C5m7vJUP9v7gvMj\n7wtOb14Ik5E0pWUdssbl62nzPu9G0rR5v6BVCFNZRZtUeZLWdVHTWF8hi+bWSpM3L4Sp94r1ssLG\nP4qZuzzVz6qSH9/vI/WzCuPn2Nx5feSLL1aQud6oGpcnM+J88LLeSO0CGXle3+D9fTnf+/vSm7s+\nnfDRsU5dwvTL/tBRrxEzib+JUaDrq56LqHHqBi3SYote1ATlboaofeCNtHn/oy9k8nufysdTv0rb\nbeL40TJkpcFp7cXWgKjRlziiRl8mpiJEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMX\nRI3OXBA1OnMxVTknai41oiZlRE0Br6963v16bx4qg8BPBBA1ndwK5oVRr/xrsjw68SWZ+sWMpD0R\nNR04EDVJt4WKFUSNihjSikDUpCFR0YCoURFDWhGImjQkKhoQNSpiSCsCUZOGREUDokZFDGlFIGrS\nkKhoQNSoiCGtCERNGhIVDYgaFTEEFuGaqPnq4g5R024ebxq/Im/EeYGurzaKETXxmFlQSwBRkxLN\nD7PmyquvT5bnXvy3TPngs5StIgMH9JXf7rilHHvoXlJb2ytte7E1IGr0JY6o0ZeJqQhRozMXRI3O\nXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlxMVa6Jmi8vOiRg/MxSUWMeQps+3sbd\n7atdwIgavZ8eKosRQNR4JL6fOUdeef1/8twL/5b3Pvo8xiY+j8mZEb/aRH4+7GdSWlooLwWNX2Le\nC4iavNGFdiCiJjS03ToxoqZb+EI7GFETGtpunRhR0y18oR2MqAkNbbdOjKjpFr7QDkbUhIa2WydG\n1HQLX2gHI2pCQ9utEyNquoUvtIMRNaGh7faJXRM10y44xLvmZBVT4q2bETWp7bF1l7cPvei+bmfM\nCSAQNoGiFTU/zlsgz7/4H3nWkzMfeu+jSZ2QM6lEgtcRNcFcbLYiamzSz9w3oiYzG5tbEDU26Wfu\nG1GTmY3NLYgam/Qz942oyczG5hZEjU36mftG1GRmY3MLosYm/cx9I2oys7G5BVFjk37nfTsnakb9\nMeZfimI+9KJ7Ow+QrRBQQKBoRc1jE1+WS8bcnRQBciYJR1YriJqsMEW6E6ImUtxZd4aoyRpVpDsi\naiLFnXVniJqsUUW6I6ImUtxZd4aoyRpVpDsiaiLFnXVniJqsUUW6I6ImUtxZd4aoyRpVpDsiaiLF\nnVNnromaL873RI03xcbPxC62UNd/dgmiJpYxc70EEDUJ2eyy4xay8w6by+YbrSdVVZUJW1jMRABR\nk4mMvXZEjT32nfWMqOmMjr1tiBp77DvrGVHTGR172xA19th31jOipjM69rYhauyx76xnRE1ndOxt\nQ9TYY99Zz4iazujY24aosce+q55dEzWfn3doV5dUUNvXuPSegroeLqYwCRStqPnmu1nyyN9f8h9/\nNnP23LR0d9tpK9nReyfN5hutL9XVSJs0QD81IGoykbHXjqixx76znhE1ndGxtw1RY499Zz0jajqj\nY28bosYe+856RtR0RsfeNkSNPfad9Yyo6YyOvW2IGnvsO+sZUdMZHXvbEDX22HfVs2ui5rNzDl36\nyLPYxcVeWVOA62tefk/sqphDQC2BohU1sUTa29vl48+my6uvT5ZnJr0hRuCkTmakzYhfbSpbbvJz\npE0KHERNChAFq4gaBSEElICoCYCioAlRoyCEgBIQNQFQFDQhahSEEFACoiYAioImRI2CEAJKQNQE\nQFHQhKhREEJACYiaACgKmhA1CkLIUIJ7ouawjisp1GedxXL66frWvPzuWAtzCKglUPSiJjWZz7/8\nRl7xpM0/X35Tpn4xI3Wz/2i0EdttKr/a8pdSXl6Wtr3YGhA1+hJH1OjLxFSEqNGZC6JGZy6IGp25\nIGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcupirXRM2nZ/0kavQi7dHK1r4CUdOjQDlZKAQQ\nNZ1gnfHtTE/a/E+eePZVmfbVt0l7Thw/WoasNDiprRhXEDX6UkfU6MvEVISo0ZkLokZnLoganbkg\nanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6mKudEzZmHe1XHnnVW+PO1r7xL781DZRD4iQCi\nJuBWWLioTt7/+At594PP5L9TPpHJ732atheipgMJoibt1rDegKixHkFgAYiaQCzWGxE11iMILABR\nE4jFeiOixnoEgQUgagKxWG9E1FiPILAARE0gFuuNiBrrEQQWgKgJxGK9EVFjPYKMBbgmaj4544hi\n8jSyzlWImow3LxvUEEDUeFHMnD1X3vvoC5ny/lR5+38fBT7yLDEx89izi878k/Tv1yexuSiXETX6\nYkfU6MvEVISo0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6mKtdEzcdn\n/KmIxtOIrDP6Tr03D5VB4CcCRStqpn7xtUx47J/y77c/8EVNZ3fEhhusLVtu8nPZ5JfryrC1V5eK\nivLOdi+qbYgafXEjavRlYipC1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVR\nozMXU5Vrouaj0/6kF2YIlQ0bg6gJASun7GECRStqHpv4slwyJvhFUmv9bIhstdkvZNNfDpMN1ltD\namuqexh74ZwOUaMvS0SNvkxMRYganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25\nIGp05mKqck7UnHqkXpghVDbsmjtCOCunhEDPEkDUeDwHDxoo5nFmm2w4TDbyRs8MHNC3ZykX8NkQ\nNfrCRdToy8RUhKjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLqYq10TN\nBycfKSUlIu3t3qtqvHlsiq2nzl3fvt61iJpYhsz1Eih4UfPjvAXy0adf+gmsu9bqsuzAfv7yx1O/\nks+mzfh/9s4FOKrqDuP/3WQ3r00gRsFBUBwtLVbrC1+1DGMZO061CpbSqhWrVAQUiljEqmMrItJS\nBVFBnooMCIw2onV0pCioFEUHW21xZGyr8tAGMCbksZvHbs+5yaZhlzwWT+5+597vMMzJvffsuf/7\n/e6ym/1x74q+rVn/fn1wCYFXRlGDB4iiBo+JroiiBpMLRQ0mF4oaTC4UNZhcKGowuVDUYHKhqMHk\nQlGDyYWiBpMLRQ0mF12VfaJmnKpaGxplanzQnzpvkTpONiaAnYDnRU35i5vl3jnLHAqLHpwu5539\nbefnPZ/vcwROIBiQ73/vbAkGg9ikQKujqMEDQ1GDx0RXRFGDyYWiBpMLRQ0mF4oaTC4UNZhcKGow\nuVDUYHKhqMHkQlGDyYWiBpOLrso2UfPBZH+JmtPmU9TgPntYWTIBz4uaJSvXy2PLnnWO99XyR9tu\na9b+O2q2vrxECvLzkpmwzyABipoMwnJpKEWNS0FnuBuKmgwDc2k4RY1LQWe4G4qaDANzaThFjUtB\nZ7gbipoMA3NpOEWNS0FnuBuKmgwDc2k4RY1LQWe4G4qaDANzaThFjUtBH8FubBM170+6SV1HE1DX\n0yR80Z/2yONHQJUPYQLuJuB5UTN/8TpZvvrPTqrthQxFjZkTjaLGTI4mZ6GoMZmmubkoasxlaXIm\nihqTaZqbi6LGXJYmZ6KoMZmmubkoasxlaXImihqTaZqbi6LGXJYmZ6KoMZmmubkoasxlaXImihqT\naZqdyzZR8/dbxpsNAHy20x+lqAFHxPJUAp4XNWvKN8jsh1c6sNcsuU++9Y0TnJ8pasyc/xQ1ZnI0\nOQtFjck0zc1FUWMuS5MzUdSYTNPcXBQ15rI0ORNFjck0zc1FUWMuS5MzUdSYTNPcXBQ15rI0ORNF\njck0zc1FUWMuS5MzUdSYTNPsXNaJmpsnmA0AfLbTH1sIXiHLYwI+EDVb3/mHTJj2B4f1+UNOlQfu\nniClvYuFosbM6U9RYyZHk7NQ1JhM09xcFDXmsjQ5E0WNyTTNzUVRYy5LkzNR1JhM09xcFDXmsjQ5\nE0WNyTTNzUVRYy5LkzNR1JhM09xcFDXmsjQ5E0WNyTTNzmWbqHlvwgR1yzNRNz5THw77oD9jIUWN\n2TOes/VEAp6/oiYabZBRN9wpu/dWtOU36KQBUlcfa1s3eNBACQaDbdu788O8mb+SY44u7c5QT4+h\nqMHDS1GDx0RXRFGDyYWiBpMLRQ0mF4oaTC4UNZhcKGowuVDUYHKhqMHkQlGDyYWiBpOLrso6UTN+\noj8MTauJOnPhAtyTh5UxgdYEPC9q9HG+98FOuX7STKPQX1g1RwYc19fonDZORlGDR42iBo+Jroii\nBpMLRQ0mF4oaTC4UNZhcKGowuVDUYHKhqMHkQlGDyYWiBpMLRQ0mF12VbaJm+01K1PjiWpoWU3PW\nosdwTx5WxgRaE/CFqNHHum9/pSx+ar1se2+HfLrri699AlDUtERIUfO1TyXjE1DUGI/UyIQUNUZi\nND4JRY3xSI1MSFFjJEbjk1DUGI/UyIQUNUZiND4JRY3xSI1MSFFjJEbjk1DUGI/UyIQUNUZiND4J\nRY3xSI1NaJ2oGXezOnY/3PSsVdQsftQYa07EBHoqAd+ImvYBNjc3y+pnN8iDC1Y7q19eO1cKCvLb\nD+ny514lRV2O8cMAiho8yhQ1eEx0RRQ1mFwoajC5UNRgcqGoweRCUYPJhaIGkwtFDSYXihpMLhQ1\nmFwoajC56KpsEzXv/tJfombIUooa3GcPK0sm4EtRow9+05btsmjFc8530yyff5fkhUPJTNhnkABF\nTQZhuTSUosaloDPcDUVNhoG5NJyixqWgM9wNRU2Ggbk0nKLGpaAz3A1FTYaBuTScosaloDPcDUVN\nhoG5NJyixqWgM9wNRU2Ggbk0nKLGpaCPYDfWiZqxk/x0QY0MWfrIEVDlQ5iAuwn4VtS4G7N390ZR\ng8eWogaPia6IogaTC0UNJheKGkwuFDWYXChqMLlQ1GByoajB5EJRg8mFogaTC0UNJhddlW2i5p0b\nlKjxUTtnOUWNj3Bbe6gUNYdB19jYJHX1USmOFKkrbvT9Gtk6SoCipqNksreeoiZ72Xe2Z4qaztLJ\n3jaKmuxl39meKWo6Syd72yhqspd9Z3umqOksnexto6jJXvad7ZmiprN0sreNoiZ72Xe2Z4qaztLJ\n3jaKmuxl39WebRM1266f7KNvqBE554n5XSHkdiaQ9QQoahQC/Z016196Q157c7v857O9sntvRRuY\nQScNkIHH95NRP7pIzj3rlLb1/KElAYoavDOBogaPia6IogaTC0UNJheKGkwuFDWYXChqMLlQ1GBy\noajB5EJRg8mFogaTC0UNJhddlW2i5u3rJvvq1mfnPUlRg/vsYWXJBHwvat7e/k+ZNXeFfLrri2Qm\nHfbDvnum/PqWa2RAvz4djvHbBooaPOIUNXhMdEUUNZhcKGowuVDUYHKhqMHkQlGDyYWiBpMLRQ0m\nF4oaTC4UNZhcKGowueiqbBM1b103pYMrahJqfUAS6pj0PYbSezu3n7dinsbExgSgE/C1qHl/x8cy\nZuKMwwIqKsyX2rpo2rb+StKsXTpT9HY2EYoavLOAogaPia6IogaTC0UNJheKGkwuFDWYXChqMLlQ\n1GByoajB5EJRg8mFogaTC0UNJhddlW2iZuu1U3DD7IHKLlhJUdMDsXJKwwn4VtRUH6yVEWOmy5eV\n1U6k+hZnN44ZIeeeOVhKioskEAg4t0Tbd6BKXtywRZaveqFN3Fx+yVCZcceNhlHYOR1FDR43iho8\nJroiihpMLhQ1mFwoajC5UNRgcqGoweRCUYPJhaIGkwtFDSYXihpMLhQ1mFx0VbaJmr9ee2vrlTPJ\nK2S83V+w8iHck4eVMYHWBHwral7auFV+c99CJ4ah558hD8+aIsFgsMMTo2J/pYxUYid5lc3La+fK\nsX3LOhzvlw0UNXikKWrwmOiKKGowuVDUYHKhqMHkQlGDyYWiBpMLRQ0mF4oaTC4UNZhcKGowuVDU\nYHLRVdkmarZcMxU3zB6o7MJVFDU9ECunNJyAb0XNvXOWSfmLm504Nz+/QHqVRLqMduPr78pt97R8\n+dQjs6eKFjx+bxQ1eGcARQ0eE10RRQ0mF4oaTC4UNZhcKGowuVDUYHKhqMHkQlGDyYWiBpMLRQ0m\nF4oaTC66KttEzZtX39bBd9B09N00dq+/cPWDuCcPK2MCrQn4VtSMHnuX7PzXLtG3PFu37P5unRAH\nKqtk+MhJztjJ40bLDVdf1q3HeXkQRQ0eXYoaPCa6IooaTC4UNZhcKGowuVDUYHKhqMHkQlGDyYWi\nBpMLRQ0mF4oaTC4UNZhcdFW2iZo3rrpNVR1QfxO+6Ic+/Ud1nGxMADsB34qaMRNnyPs7PpbvnHKy\nPLXgnm5ROlhTJ0MvG++M/cVVl8qUm37arcd5eRBFDR5diho8JroiihpMLhQ1mFwoajC5UNRgcqGo\nweRCUYPJhaIGkwtFDSYXihpMLhQ1mFx0VbaJmtd/Ns1HmkZk6Jo5uCcPK2MCrQn4VtTMmrtC1q3f\n6MSwbcNyCYdyuzwptm3fIeOmznbG/XbaWBl56bAuH+P1ARQ1eIQpavCY6IooajC5UNRgcqGoweRC\nUYPJhaIGkwtFDSYXihpMLhQ1mFwoajC5UNRgctFV2SZqNo+e1vEFNcmYO7rgxsLtw9ZS1CSxscdN\nwLei5pnnX5OZDz3hkLn6xz+Q2yf9vFNKtXVRuXbivfLvT/Y4415YNUcGHNe308f4YSNFDR5liho8\nJroiihpMLhQ1mFwoajC5UNRgcqGoweRCUYPJhaIGkwtFDSYXihpMLhQ1mFx0VbaJmk2jb1dX1ATU\njc8SvuiHrfs97snDyphAawK+FTX79lfKiDHTRQsY3S6/ZKhcr25nduIJ/Vqjaeni8YS88dbf5PEn\ny+XDnZ84KwcPGihPL55xyDi/LlDU4JGnqMFjoiuiqMHkQlGDyYWiBpMLRQ0mF4oaTC4UNZhcKGow\nuVDUYHKhqMHkQlGDyUVXZZuoeW3UdNwwe6Cyi56hqOmBWDml4QR8K2p0jpu2bJcpd807JNKjSkvk\neHWlTK+SiFQomfPZ7i/aZI4eWFSYL2uW3MeraVpTo6g55PSBWKCogcCQVgRFTVokECsoaiAwpBVB\nUZMWCcQKihoIDGlFUNSkRQKxgqIGAkNaERQ1aZFArKCogcCQVgRFTVokECsoaiAwHLYI20TNq6Pu\naLmSJqGuqFG3OEuoo3KusPHo8kXPtHyVxWHhcSUTAEnA16JGM1hTvkFmP7yyWzj69+sjv7t9rAw5\nY3C3xvth0A+Ll3rmMJvUi1EsHpdm5+XJ3sOKJZqlWmKiey80zSMWaLaeS4HkSlkgX3TvhRZXXJok\nrv7ot3P2tqNDOfLNwrCUhYL2HkS7yosLY3JcnyopLoq1W2vfjwWq/rK+VVIQsfs4ksnnhJolHGkS\n3dvcojV5Urm3WKI1YZsPo632QCAhOcG4BPW9ty1u4UiDlBxbK3mRRouP4v+lB/IUl4j6wCBs9+tL\nQ1Wu1O7KF917oekPcPRzRvRfi1sirm7xov8mLH/iJxmowwjmaC7JFXb28eagNDbkSLzJG+/HCo9R\n72MGV4nubW71+8NS+VFEoge88bpfVVUkn33aV75Svc0tP69RepfUie690KLRkMMkGrP/PJv84Xir\nkGy88g5Vr34B0a/t7V9IksupffLwUtcnl7G3D//TA8kC2TMB2AR8L2o0mQOVVbLkqefllU1vy5eV\n1WmwtKC56sqL5SdXDJdwyBu/bKUd5BGuGFmy7AgfifewqJI0VfFGJTjieMVlUJH+8DymtIbuvdD0\nS76WAfqPzS0sORIJhET3Xmg56o1cWH1qo3ubW+9wQE4sDEpv+38vcDCEcuNSlN8oIcuFQK/eNXLC\nif+VXqW1Np9eh9Tu/Atm99NFaqsLpGJvqdQeLDjk2GxdCIcbJRKpl3C4ydZDcOrOVc/3PCVrcsN2\ni8AkhEBQSRr9dtv2z2sVjkSjeuZ74+2Y8xmOF+SGlk3OOabOMy+0xlhI6moKlOSw+3fUsHrvEimt\nkzzVe6HlFjZJQVlMQqq3ucWqQ1K9p0h074VWV5sv+yt6i+5tblqcB/VrpeXiPMkgpv4dq1b/jsUa\n7D/Pbv1oXPKwrOj/MvLOQzSNfmXUv660f4VMLqf2yQNMXZ9cRtw+vHxWsiz2TAA2AYqaFDR19VHZ\nvXefVFXXyLF9jlJ/y9QHXna/8U05RKOLo0qWG50vm5PVqytQDjQ3SJ3lV6J45UqHbJ4LPbHvkPrE\nqUB98pRr/SdPLemEA0EpCuSIPi6bWy8laAYUJaTE/t8LHAz6F7cc9Yub7VcIHFVWLScP2iO690Lz\nyq12ag4Wyud7jhbde6Hl58ektLRGdG9zC+bEHTkbVFcHseEkEFTiPKT+t3OO6r3QtKRJNOsrUew+\nGn31ib66UX/I6YUWrcuTr/arKx1Vb3MrLInKMf0rpaik3ubDaKtdP/9zC9R5FrL7+d9QG5KDFQWi\ney+0WH2eVFUWS6ze7v+h1RxXV6A1qivQVO+FFmvMlYO16jyzXDhrFlN33mgVkg0j7lT1JtWK9/uL\nn7vfKj4s1p8J+FbUxOPqgyzbP8kCOGcpagAgpJRAUZMSCMgiRQ0IiJQyKGpSAgFZpKgBAZFSBkVN\nSiAgixQ1ICBSyqCoSQkEZJGiBgREShkUNSmBgCxS1ICASCmDoiYlEKBF20TNK1fc7SNNI3Lx+plA\nZwtLYQKHT+B/AAAA//+ccEJoAABAAElEQVTsnQmcVeMbx59ZqqlpJ1siIQrJkn1JRMpWSIsWIqmo\nKEpKSpQWRVpop5CIskRk37f8LRES2RJFNdPUNDP/8566171z7525013Oc879nj6cc96zPe/3d2/T\n3O8970krsiZJwWnR82+I+a/DZefK2acfL+XKZaYghdi7fFnVmbGfRMkZthYVyN8F2yXXmrt5KpQi\n2SGF1p+UfGurja6cpEvFtEzJtOZemMqnpUt2WoaYfrl5qlZepE52kVQt5+Ze/Fd7WppIRnqRpFtz\nN08199gkh9T/VczcC1NhYZoU5GdIYYG7g9myuZL8/uueYuZemLKytkmNGlvEzN08pWcUWv+OLZD0\n9EI3d8NztadnWrlUyJcMa+6FqagoTYqsv8Pc/ptjekaRZNjvF2/8Ozkvt4L881cVMXM3T5Wq5kmt\n/TdKdtWtbu6Gv3bz/s+saP29XM7d7//tOeVk858Vxcy9MG3bWkH+3VhFtm21fgFw8VRQmC755t+V\n1twL07b8TNmcY73Otrv/M7mbVl3rqkheuvB2EfPrSeCPRA+vn7fkLlflQ7GpSSAtVUXNU0tekxHj\nZtmp16xRVdq3aS6tW54pe+5RPTVfCbvZa0TNboJL4GGImgTCjeHUiJoY4CXwUERNAuHGcGpETQzw\nEngooiaBcGM4NaImBngJPBRRk0C4MZwaURMDvAQeiqhJINwYTo2oiQFeAg9F1CQQboyndpuoWXrh\nEMvTWF/CsP6kwvy8JcNjTJjDIZB4Aikrap5+7nUZPjb0bpALzj1V2l5ytjRqeEji6XvgCogafSEi\navRlYipC1OjMBVGjMxdEjc5cEDU6c0HUKM2FO2pUBoOoURmLIGp05oKo0ZkLokZnLqYqt4maF1sN\n1QszAZWd/zyiJgFYOWWcCaSsqCkoKJA331shjz29TD789OsQrEccXk86XmoNi3ZmE6lQ3hu3+oZ0\nMg4NiJo4QIzzKRA1cQYap9MhauIEMs6nQdTEGWicToeoiRPIOJ8GURNnoHE6HaImTiDjfBruqIkz\n0DidDlETJ5BxPg2iJs5A43Q6RE2cQMb5NIiaOAON4+ncJmpeaHmHmKGzzbCm9txiYY985lsvPnf5\n9vOfvzOOaXMqCCSGQMqKmkCcq9f8Kk9Zd9jMW/hSYLO9nF0pSzq1PV/aXNBU9tqzRsj2VG9A1Oh7\nBSBq9GViKkLU6MwFUaMzF0SNzlwQNTpzQdQozYU7alQGg6hRGQt31OiMxX42Dc+o0RcOokZfJr6K\n3CZqnj//Dqt030NpvD9v9eIwX1TMIaCWAKImIJqc3DxZ+up7Mu+pl8XIm+JTi2YnSTvrWTaNjzy0\n+KaUXUfU6IseUaMvE1MRokZnLoganbkganTmgqjRmQuiRmkuiBqVwSBqVMaCqNEZC6JGaS6IGqXB\nWGW5TdQ81+LOiJrGRzmSvnHj9lZLjZhigoBuAoiaMPkUWff9ffq/VfLEM6/Iy699ELJH/YPr2HfZ\nND/zBMnKKh+yPZUaEDX60kbU6MvEVISo0ZkLokZnLoganbkganTmgqhRmguiRmUwiBqVsSBqdMaC\nqFGaC6JGaTBWWW4TNUvOS62hwC58CVGj991DZT4CiBofiQjzVT/8LG273R52qxkWrcOl58ml1rBo\n++y9R9h9vN6IqNGXMKJGXyamIkSNzlwQNTpzQdTozAVRozMXRI3SXBA1KoNB1KiMBVGjMxZEjdJc\nEDVKg7HKcpuoWXzuiIh31ES6k8bN7Re+PETvi4fKILCLAKImwkvhy5WrZeGS5fLMC29G2CO4uXnT\nE+TKy86To1NsWDRETfDrQMMaokZDCqE1IGpCmWhoQdRoSCG0BkRNKBMNLYgaDSmE1oCoCWWioSUd\nUaMhhpAaEDUhSFQ0VKqaJ7X23yjZVbeqqCfWIsz7P7NigaSXK4z1VI4evz2nnPCMGkcjCHtxRE1Y\nLCoa3SZqnj1nhApuySri4lcQNclizXV2nwCiJoBdXt52WfbGhzLfekbNylVrArbsXNx/v72kvfWM\nmnoH1pYnF78qy9/6JGgf8+ya2ZNS642PqAl6CahYQdSoiCGkCERNCBIVDYgaFTGEFIGoCUGiogFR\noyKGkCIQNSFIVDQgalTEEFIEoiYEiYoGRI2KGEKKQNSEIFHRgKhREUPYItwmap45566UuqPm4lfC\nj5YUNkwaIeAQAUSNBf7nX/6Qp59/Q5589lXJyc0LieLMU46Rdq2by4nHHSHp6eZGv53T2l/XyeOL\nXpF5C1+yG7wiaoywSrO6WaFC6c/fQdT4Xg165ogaPVkEVoKoCaShZxlRoyeLwEoQNYE09CwjavRk\nEVgJoiaQhp5lRI2eLAIrQdQE0tCzjKjRk0VgJYiaQBp6lhE1erIoXonbRM2iZiOLd8HT662XD/Z0\n/+icNwikrKgpKCiQtz/4nzxhiZZ3P/oiJE3z/BkjZ1q3OlPMnTQlTZs258giS/R8v+YXGTGwe0m7\nqtz2/Y+/yKtvfizvWRx+tuTTho2b7Dpr1qgqjRoeIt2uvFCOanBw2NoRNWGxONqIqHEUf8SLI2oi\nonF0A6LGUfwRL46oiYjG0Q2IGkfxR7w4oiYiGkc3IGocxR/x4oiaiGgc3YCocRR/xIsjaiKicXQD\nosZR/CVe3G2i5ulmd4fvT5HV/N931EP3cen2NstvC+0LLRBQRiBlRc3Tz70uw8fODImjQf260tF6\n1sw5ZzSRrKzS7ygJOYHLGrbk5MpprXqUWnXPqy+V7p0vDtkPUROCxPEGRI3jEYQtAFETFovjjYga\nxyMIWwCiJiwWxxsRNY5HELYARE1YLI43ImocjyBsAYiasFgcb0TUOB5B2AIQNWGxON6IqHE8gogF\nuE3ULGx6d0oNfXbp64iaiC9eNqghkLKi5qklr8mIcbP8QVzU4nRpe/HZcmSDev62VFgIFDVNTz3W\nHt6tTu29Zd2ff8trb39i33Xk4zB9wiA5vnED36o9R9QE4VCxgqhREUNIEYiaECQqGhA1KmIIKQJR\nE4JERQOiRkUMIUUgakKQqGhA1KiIIaQIRE0IEhUNiBoVMYQUgagJQaKiAVGjIoawRbhO1Jx5j3Xn\njHXrTJHvFhlr7uH1y94YGDY3GiGgiUBKi5qH5j4rHS49V4ykqVG9iqZcklaLeR7NuMnzpX2b5lKv\nbu2Q677+zqfSd/AEu90MBTewT6egfRA1QThUrCBqVMQQUgSiJgSJigZEjYoYQopA1IQgUdGAqFER\nQ0gRiJoQJCoaEDUqYggpAlETgkRFA6JGRQwhRSBqQpCoaEDUqIghbBFuEzULzhgVth9ebWz7JqLG\nq9l6qV8pK2qMoChXLkMyMjK8lGdC+nJqy+6Sk5tnP69m7uShQddA1AThULGCqFERQ0gRiJoQJCoa\nEDUqYggpAlETgkRFA6JGRQwhRSBqQpCoaEDUqIghpAhETQgSFQ2IGhUxhBSBqAlBoqIBUaMihrBF\nuE3UPHH6aP8NNOaRNPZ9NbtusPHietu3bg2bG40Q0EQgZUWNphC019KsdW/ZsHGTHNvoMJl5/+Cg\nchE1QThUrCBqVMQQUgSiJgSJigZEjYoYQopA1IQgUdGAqFERQ0gRiJoQJCoaEDUqYggpAlETgkRF\nA6JGRQwhRSBqQpCoaEDUqIghbBFuEzWPnzba6odfyVjLAUOgebC93du3hM2NRghoIoCo2ZWGucPm\n51/XSUFBQVT51D+4TkrcjfPr7+ulVfubbSatW50pdwzoFsQHUROEQ8UKokZFDCFFIGpCkKhoQNSo\niCGkCERNCBIVDYgaFTGEFIGoCUGiogFRoyKGkCIQNSFIVDQgalTEEFIEoiYEiYoGRI2KGMIW4TZR\n89ipY8L2w6uN7d8Z4NWu0S8PEUh5UbPs9Q9l0oyF8tPaP8oU65J5Y6RO7b3LdIwbdx45frY8uXi5\nXfqUMbfIyU2ODOoGoiYIh4oVRI2KGEKKQNSEIFHRgKhREUNIEYiaECQqGhA1KmIIKQJRE4JERQOi\nRkUMIUUgakKQqGhA1KiIIaQIRE0IEhUNiBoVMYQtwm2iZt4pYzx430zk+4I6vIuoCfvCpVEVgZQW\nNXOeeEHum/L4bgWSCqLmlTc/kv5DH7D5NGp4iMx5cIg1fqW5LfK/CVHzHwstS4gaLUkE14GoCeah\nZQ1RoyWJ4DoQNcE8tKwharQkEVwHoiaYh5Y1RI2WJILrQNQE89CyhqjRkkRwHYiaYB5a1hA1WpII\nrcN1oubkcbs64RvyzNcnb653fG/naEG+XpY2NyMvmY9AK1QoX9quYbeb47Oydu/YsCekMSUIpKyo\n2bQ5R8648Hp/yDVrVJUDrDtkVnz5nd120vFHSq09q/u3L3/zY8nJzbPXL2xxmtzUo73UqF7Fv91r\nC59bHLr0HmF3K7tSliyYMVJq71srpJuImhAkjjcgahyPIGwBiJqwWBxvRNQ4HkHYAhA1YbE43oio\ncTyCsAUgasJicbwRUeN4BGELQNSExeJ4I6LG8QjCFoCoCYvF8UZEjeMRRCzAbaLmkRMtUZM6j6iR\nTu+XLGq+//EXedX67Pe9j76wH41hntVtJvN5sfnyercrL5SjGhwcMX+zwXymvNAalcjMf/ntTzGf\npzY5pqGccUpjadOqaYnHshEChkDKiprHFy2TURMfsV8FrZqfIsMHXmsPf9am6yC77dEpw+TIBvXs\nZfO/xUvfkqGjHrbXHxh1k5x+UmP/Nq8tfPXNaunYY5i/W3MmDZGjjzzUvx64gKgJpKFjGVGjI4fi\nVSBqihPRsY6o0ZFD8SoQNcWJ6FhH1OjIoXgViJriRHSsI2p05FC8CkRNcSI61hE1OnIoXgWipjgR\nHeuIGh05hKvCbaJm7onjw3XDs22dP7gpYt+25OTKaa16RNzu29Dz6kule+eLfatBc/NojQHDJgW1\nBa60b9NcBvTuKOnp6YHNLEMgiEDKipq7J8yRBc+8asNYtnCidfdMDflrw79yTpsb7LYH7+0vp57Q\nyA+rsLBIOvW8U4zEOLDOPvLM3NEhw4D5d3bxwmdfrJLet4713z00fcIgOb5xg4g9QtREROPYBkSN\nY+hLvDCipkQ8jm1E1DiGvsQLI2pKxOPYRkSNY+hLvDCipkQ8jm1E1DiGvsQLI2pKxOPYRkSNY+hL\nvDCipkQ8jm1E1DiGvtQLu03UzGliiRprbK+ioqKdn29acy+vd/mwX8QMA0VN01OPlROPO8J+Lvm6\nP/+W197+RN7+4H/+Y8N9Trrqh7XStttgex9zB851nS+RhocfZN9V8+Szy+XT/31rb7u5Zwfp1LaF\n/1wsQKA4gZQVNX0HT5DX3/lU9t9vL3lu/libS37+DmnS/Gp7edgt18glLc8I4jXnceuZNlN3PtNm\n7uSh9q1vQTu4fOWNdz+TPrfdZ/fC3J43bdzAoLuKwnUPUROOirNtiBpn+Ue6OqImEhln2xE1zvKP\ndHVETSQyzrYjapzlH+nqiJpIZJxtR9Q4yz/S1RE1kcg4246ocZZ/pKsjaiKRcbYdUeMs/5Ku7jZR\nM7vJhJK647ltXT/qG7FP5nky4ybPF3PXS726tUP2M58fm8+RzdSudXMZ2KdT0D5jH5wvjz651G6b\nN3WYHHH4fyM0GQlkRi36ae0f9mfQ5pnnxZ//HXQyVlKaQMqKmq7W81fMmIH1D65jP3/F9yo4tWV3\n+26Sru1bSd/rrvA12/OPPlsp1/a7x14efFNXufyiZkHb3byycPFrctf4WXYXjP2dMeE2OejA/Urt\nEqKmVERJ3wFRk3TkUV0QURMVpqTvhKhJOvKoLoioiQpT0ndC1CQdeVQXRNREhSnpOyFqko48qgsi\naqLClPSdEDVJRx7VBRE1UWFK+k6ImqQjj/qCbhM1M49LLVFz9SeRRU00Ifs+LzbPqzFf3vdN27Zt\nl2ate9ufJZ971oly7x29fJv882dffFPuGD3dXp9tPV6icYTHS/gPYCFlCaSsqLlh4Hh56/0V9kOh\nli/6bwzB7jeNkg8//VpOOv5ImTr2lqAXxqoffrZuZbvdbjNjEpqxCd0+FRYWyoRpT8jcJ160u9Kg\nfl25/+5+9lBw0fQNURMNpeTug6hJLu9or4aoiZZUcvdD1CSXd7RXQ9RESyq5+yFqkss72qshaqIl\nldz9EDXJ5R3t1RA10ZJK7n6ImuTyjvZqiJpoSSV3P0RNcnmX5WpuEzUzjpsoadafIutPmtVRa+Az\nT69f/UmfssQZsq+RMRs2bpJjGx0mM+/fOcyZ2emb736SdtcOsfe/rV8XaXvx2SHHrv11nVzYcYDd\nbm4KMDcHMEEgHIGUFTXD7p0uz7zwps3k/aXTJSurvL08/dHFMmn6Qnu5+O1qi5e+JUNHPWxv69Xt\nUrm2U/gHSNk7uOR/Tyx6Re6ZONdf7YSRfSW7UkX/evGFffaqaY/T6GtH1PhI6JkjavRkEVgJoiaQ\nhp5lRI2eLAIrQdQE0tCzjKjRk0VgJYiaQBp6lhE1erIIrARRE0hDzzKiRk8WgZUgagJp6FlG1OjJ\nonglbhM104+5v3gXPL1+zWc37nb/fv19vbRqf7N9fOtWZ8odA7r5z/XeR1/K9QPutddnPXC7HHNU\nff+2wIXGTTvbq+YZNeZZNUwQCEcgZUXN5JlPyUNzn7WZTBlzi5zc5Eh72Tzg6eobR9rL5u4SYzqP\nsB4AtfytT+w7T4w9NZMRGuYBU26fZs1/TiY+tCDqbhT/CwVREzW6pO2IqEka6jJdCFFTJlxJ2xlR\nkzTUZboQoqZMuJK2M6ImaajLdCFETZlwJW1nRE3SUJfpQoiaMuFK2s6ImqShLtOFEDVlwpW0nRE1\nSUNd5gu5TdQ8fMwDZe6jmw+49rMbdrv8keNny5OLl9vHB36GbBqeX/auDB451d62YMZd1iM2DrCX\ni//PN3Ta+eecLPfcfn3xzaxDwCaQsqJm2RsfyYA7dv6l1PGy82RA7442kPz8HdK513BZuWpNxJfI\n3rVqytNzRll3nmRF3MctG+Y8/oLcN/XxqMvt0q6l9OvRzr8/osaPQs0CokZNFEGFIGqCcKhZQdSo\niSKoEERNEA41K4gaNVEEFYKoCcKhZgVRoyaKoEIQNUE41KwgatREEVQIoiYIh5oVRI2aKEIKcZuo\nmXZ0aoma6z7fPVHzypsfSf+hO1mZ59PMeXCIpKWZweJ2TuZREuOnPGavLJk3JmgUIt8+Zn5Bh/7y\ny29/yvGNG8j0CYMCN7EMAT+BlBU1f/y5Qe6ZMMcGUfeAfYPkwx/r/pZLrxpkPwjKTypgYdr4W+XE\nY48IaEndRUSNvuwRNfoyMRUhanTmgqjRmQuiRmcuiBqduSBqlOaSWSjlKuRLhjX3wlRUZI1hX2D9\nZwawd/GEqNEZHqJGZy6IGp25IGp05mKqcp2oafSgeSiN9bPdekaNEQ87H1Lj2fXrPu9V5hfP519+\nJ116j7CPM1/WXzBjpNTet1bQeWbMWyIPPPyk3fb8Y+NCtvt2RtT4SDAviUDKipqSoJhtq35YKy++\n+p6888Hn9rJ5QzY5pqH07XGF1K2zb2mHp8x2RI2+qBE1+jIxFSFqdOaCqNGZC6JGZy6IGp25IGqU\n5oKoURkMokZlLIKo0ZkLokZnLoganbmYqtwmaqYcZYmaFJqu/6Jsouarb1ZLxx7D/ITmTBoiRx95\nqH/dt7Do+TfkzjEz7NWnZ98j9erW9m0Kmjdr3VvM4zTOOaOJjB2+e3f3BJ2QFU8SQNREEevWvG1S\nMatCFHum3i6IGn2ZI2r0ZWIqQtTozAVRozMXRI3OXBA1OnNB1CjNBVGjMhhEjcpYEDU6YxFEjc5g\nEDU6czFVuU3UTD5ysn0njbmjxtxZY+6oMXfWeHW95xc9o37xfPbFKul961j/SEtmqDIzZFm46Y13\nP5M+t91nb5o/7U5peNhB4XaTxk072+3tWjeXgX06hd2HRgggangNxEQAURMTvoQcjKhJCNaYT4qo\niRlhQk6AqEkI1phPiqiJGWFCToCoSQjWmE+KqIkZYUJOwDNqEoI15pMiamJGmJATcEdNQrDGfFJE\nTcwIE3ICRE1CsMblpG4TNZOOsESN9afI+rNz7vM1vvXic3dv7/XV9VHlHChezOhK08YNlCMb1It4\n7P++/l469xxubx9z5w3S/MwmIftu/GeznHXJzjt6el59qXTvfHHIPjRAwBBA1PA6iIkAoiYmfAk5\nGFGTEKwxnxRREzPChJwAUZMQrDGfFFETM8KEnABRkxCsMZ8UURMzwoScAFGTEKwxnxRREzPChJwA\nUZMQrDGfFFETM8KEnABRkxCscTmp60RNw6lx6bdbTtL76x6llrpw8Wty1/hZ9n41a1SVGRNuk4MO\n3K/E4wIlTPs2zeXWG0Pvlnn9nU+l7+AJ9nnGDOstzZueUOI52Zi6BDwvav75d7Os/e3PuCfc4NC6\nkpmZEffzuu2EiBp9iSFq9GViKkLU6MwFUaMzF0SNzlwQNTpzQdQozYWhz1QGg6hRGQtDn+mMhaHP\nlOaCqFEajFWW20TN/Q2MqNk15pkfq3fXb1wZWdQUFhbKhGlPyNwnXrRJNKhfV+6/u5/U2rOGn0xJ\nC0bCGBlj5M6iOaOkWtXK/t3NUHL9bp9obzd36Lz69CTJyirv384CBAIJeF7UPLXkNRkxbqcNDex4\nrMtL5o2ROrX3jvU0rj8eUaMvQkSNvkxMRYganbkganTmgqjRmQuiRmcuiBqluSBqVAaDqFEZC6JG\nZyyIGqW5IGqUBmOV5TpRc/hDNkzr0TS2rvGR9er6jd9093UxZP7Eolfknolz/e0TRvaV7EoV/evF\nF/bZq2bQZ8JvvrdCbhw03t7tpOOPtO+qqVtnHzF328xb+JLMmLfE3tbh0nPllhuuLH461iHgJ4Co\n8aMo2wKiZicvRE3ZXjfJ2BtRkwzKZb8GoqbszJJxBKImGZTLfg1ETdmZJeMIRE0yKJf9GoiasjNL\nxhEMfZYMymW/BqKm7MyScQRDnyWDctmvwdBnZWeWjCMQNcmgvHvXcJuomVDfEjW+G2hSYN7328ii\nZtb852TiQwuiDr5T2xZyc88O/v0LCgrkzjEzZfHSt/xtxRfqH1xHHhzdP+q7dIofz3pqEPC8qPnk\n82/l2RffDEnTPCxrydK37fYDLct59BGHhuwT2PDqmx9JTm6e3XRRi9PlpuvbSfVqVQJ3ScllRI2+\n2BE1+jIxFSFqdOaCqNGZC6JGZy6IGp25IGqU5sIdNSqDQdSojIU7anTGwh01SnNB1CgNxirLbaLm\nPiNqUsjU9Ft1bcQXz5zHX5D7pj4ecXvxDV3atZR+PdoFNZshzqbNeUYeWfCi//Nj3w7NTj9Ohg+8\nVipnV/I1MYdAWAKeFzVhe201fvDpV3LdTaPtzffd1UfOOu24SLva7Ub23DF6ur08yTKgp53YqMT9\nU2UjokZf0ogafZmYihA1OnNB1OjMBVGjMxdEjc5cEDVKc0HUqAwGUaMyFkSNzlgQNUpzQdQoDcYq\ny22iZtyhqSVqbv4usqiJ56vKCJtfrGelr/7pN9m7Vk2pV7e2lC+XGc9LcC4PE0hZUXP3hDmy4JlX\n7WjfXzq91Ac5mQdLdewxTFauWmM/HGrpggm80Sx6iBp9fzsgavRlYipC1OjMBVGjMxdEjc5cEDU6\nc0HUKM0FUaMyGESNylgQNTpjQdQozQVRozQYqyy3iZqxhz5sVe0b88zH1bvr/ZMkanwkmUNgdwik\nrKjpOWCMvPvRF7Z0Wb5oUlTsZlpjFt6/a8zC+dPulIaHHRTVcV7eCVGjL11Ejb5MTEWIGp25IGp0\n5oKo0ZkLokZnLogapbkgalQGg6hRGQuiRmcsiBqluSBqlAZjleU2UXPvwZao8XmZFJjf8n1y7qjR\n+wqlMjcQSFlR06brIFm95lfJrpQl77xgbvcrffrgE2u4tJt3Dpc2tP/V0uaCpqUf5PE9EDX6AkbU\n6MvEVISo0ZkLokZnLoganbkganTmgqhRmguiRmUwiBqVsSBqdMaCqFGaC6JGaTBWWW4TNaMP3vl4\nB71E41vZrT9cE98TcjYIJIBAyoqaAcMmybLXP7SRLls4UWrtWaNUvK+8+ZH0H/qAvd9VHS6QPt3b\nlnqM13doW3WmZ7qYW1QoGwq3y9bCAlf3qUCKJF8KrD9Fru6H14rPsL6qUiEtQzIl3RNdM/2oaPWn\nnP0VHPd2qVq5NDmgUrpULefePgRWnpleJFnlCsXM3TzVqLlZDjrkNzFzL0xFBWlSsCNDCgvNV9Xc\nO+VsqSjr/6gpOTlZ7u1EQOUVKuRL1ao5UqHC9oBW9y1mZBRKeasv6ZYY8MJUsCNdtm8rLzusuZun\n8hV2SHa1XCubHW7uhr92O5e8TCksyPC3uXEhI6NAymXtkIxMd/9738d+29bysmlDZdmWV97X5Mp5\npSp5ssd+/0ilKttcWX+4ogvT0qTI3T/2ZUdehuT9W8Geh+uj29q2bysnWzZlWz9j3P0P/4KCdMnP\nzxQz98K0fXumbMqpKNu2uzsXk4XbRM099VJL1Axajajxwt8ZXu9DyoqaRxYslXGT59v5XtjiNBkx\nsHupWQ8eOVWeX/auvV+/Hu2kS7uWpR7j9R3aV5vlmS5uNaKmIF/yitz9i9sOKbT7YOZMegiY39PS\nLalh/vPCZPpR3hI1RkC5eaqekSEHZpWX6hne+EXHSJoalbbbssbNuVSrvkXqHLhOqlXPcXM3/LUX\nWYKm0PrQucjln9jkba0g/2yoInku/0DQF0ym9UFtxUp5Uq6cuz9IzyxXIFnZ2yTT5f3w5bLVEoF/\nra8uuS4XgpWr5so+tTdItjX3wmSEwOYN2a4XAuXK50t25a1SziMCLX9bpuRaEj3f+qDTzZP5O6z6\nXpulYra7xbkvg+1WLlv+rWS9X9z9wXOa+d6P9VBsr3z/b4f1pRkjNc2XZ9w8mfqN3ChwuTj3ZbDN\nEmf/bq4keYgaH5Kkze+uNyNp19JwodtWd9NQBjVAoEQCKStq1qz9XS7pdKsfTvs2zeWaThfJHjWq\n+dt8Czk5W2XWY8/L9EcX+5pk4ay75ZCD9vevp+pCx2qzPdP1rZag2WiJGiNs3DwZQbO1aId1V427\n++HmDFKhdiNqzF01bhdP1TMypW75LEvUuPsDDt9rLrv8DqllfRs1u7y7hXOVajlSu856+24HX9/c\nPDeCpsj61qMRNm6etll3OWz+1/3fRPVlYL5Rb+6mcfs368tZ7/uK1rfRzdwL02br286/rd3Tfq25\nuT/ValjC+WBLOFtzL0xbcyrIxnXVZOuWCq7uTvmsfDE/Y8q7/E46Xwg7rG/V5+Vadzzku/uD5wrW\nl0yq1doiWdbcC9PO90tV179fvDa0ZmGhuRPFusPZ5XeiGEFj7gpyu3DyvdfzrL78szlbzNztk9vu\nqLmrrrmjxvx+Yqys9+e3r0HUuP09lgr1p6yoMeE+teQ1GTEu+I6QZqcfJ7X3rSU1q1eVTVty5dff\n18vLr30Q9Fo4/aTG8sCom4LaUnUFUaMveUSNvky8WBGiRmeqiBqduSBqdOaCqNGZC6JGZy6IGp25\nIGp05oKo0ZkLokZnLoga53IZUTe17qgZgqhx7sXGlaMmkNKixlCa+NACmTX/uaiBHXF4PXlo/EDJ\nruSN8dmj7niEHRE1EcA42IyocRB+Cl0aUaMzbESNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjM\nBVGjMxdEjXO53HlgaomaO37ijhrnXm1cOVoCKS9qDKjvf/xFxj44X97/+MuI3A6ss49c1/kSOa/Z\niZJhPdOAaScBRI2+VwKiRl8mXqwIUaMzVUSNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGj\nMxdEjXO5DDtgZiqMeOYf2W3YT1c7B5srQyBKAoiaAFCbraHOfv7lD1mz9g9Zt36DPfzZvnvvIXvV\nqikH7r+3pKd742HTAV2OeRFREzPCuJ8AURN3pJwwDAFETRgoCpoQNQpCCFMCoiYMFAVNiBoFIYQp\nAVETBoqCJkSNghDClICoCQNFQROiRkEIYUpA1ISBoqAJUeNcCEPrWKImhabhaxE1KRS3a7uKqHFt\ndDoKR9ToyCGwCkRNIA2WE0UAUZMosrGdF1ETG79EHY2oSRTZ2M6LqImNX6KORtQkimxs50XUxMYv\nUUcjahJFNrbzImpi45eooxE1iSIb23kRNbHxi+XoIXWCn9n937mKrMW0/1ZDlty5fcTaq0J6QgME\ntBFA1GhLxGX1IGr0BYao0ZeJFytC1OhMFVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTo\nzAVR41wug/f3iZri4sWb6yN/QdQ492rjytESQNRES4r9whJA1ITF4mgjosZR/ClzcUSNzqgRNTpz\nQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDXO5XJbbUvUpFl3zhRZYiYF5nf/0tU52FwZ\nAlESQNRECYrdwhNA1ITn4mQrosZJ+qlzbUSNzqwRNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGj\nMxdEjc5cEDXO5TJwP0vUpNA06jfuqEmhuF3bVUSNa6PTUTiiRkcOgVUgagJpsJwoAoiaRJGN7byI\nmtj4JepoRE2iyMZ2XkRNbPwSdTSiJlFkYzsvoiY2fok6GlGTKLKxnRdRExu/RB2NqEkU2djOi6iJ\njV8sR9+63+xYDnfdsaN/6+q6mik49QggalIv87j2GFETV5xxORmiJi4YOUkpBBA1pQByaDOixiHw\npVwWUVMKIIc2I2ocAl/KZRE1pQByaDOixiHwpVwWUVMKIIc2I2ocAl/KZRE1pQByaDOixiHw1mUH\n7DPbGvLMWrBGPkuF+Zjfu1odZYKAbgKIGt35qK8OUaMvIkSNvky8WBGiRmeqiBqduSBqdOaCqNGZ\nC6JGZy6IGp25IGp05oKo0ZkLokZnLoga53Lpv88c5y7uwJXH/tHFgatySQiUjQCipmy82LsYAURN\nMSAKVhE1CkJIgRIQNTpDRtTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HUOJfLTXvP\nti6eOrfUjF+HqHHu1caVoyWAqImWFPuFJYCoCYvF0UZEjaP4U+biiBqdUSNqdOaCqNGZC6JGZy6I\nGp25IGp05oKo0ZkLokZnLoganbkgapzLpd9e1h01IZ7GaiiyxkILabfqtIdIc+/2+xA1zr3YuHLU\nBBA1UaNix3AEEDXhqDjbhqhxln+qXB1RozNpRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwF\nUaMzF0SNc7n0qTUnspDxlRVJ2Lhw+8Q/uaPGFxtzvQQQNXqzcUVliBp9MSFq9GXixYoQNTpTRdTo\nzAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HUOJfLjbXmOndxB658//rODlyVS0KgbAQQ\nNWXjxd7FCCBqigFRsIqoURBCCpSAqNEZMqJGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqjR\nmQuixrlceu+ZWqJm0l+IGudebVw5WgKImmhJsV9YAoiasFgcbUTUOIo/ZS6OqNEZNaJGZy6IGp25\nIGp05oKo0ZkLokZnLoganbkganTmgqjRmQuixrlceu3xyH9Dn/nKsIc6sx9Gs7PFN/SZB7Y/+Hcn\nXy+YQ0AtAUSN2mjcURiiRl9OiBp9mXixIkSNzlQRNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGj\nMxdEjc5cEDXO5XJ9TUvU2FOAmPHw+pQNiJpdgTNTTABRozgcN5SGqNGXEqJGXyZerAhRozNVRI3O\nXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNc7n0MKIm7B0zATV5aPtURE1AsCxqJYCo\n0ZqMS+pC1OgLClGjLxMvVoSo0ZkqokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6LG\nuVy617CeUeMTMSkwf2gDz6hx7tXGlaMlgKiJlhT7hSWAqAmLxdFGRI2j+FPm4oganVEjanTmgqjR\nmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGqcy+XampaoSaHpYURNCqXt3q4iatybnYrKETUq\nYggqAlEThIOVBBFA1CQIbIynRdTECDBBhyNqEgQ2xtMiamIEmKDDETUJAhvjaRE1MQJM0OGImgSB\njfG0iJoYASbocERNgsDGeFpETYwAYzi8W405MRztvkNnbOzivqKpOOUIIGpSLvL4dhhRE1+e8Tgb\noiYeFDlHaQQQNaURcmY7osYZ7qVdFVFTGiFntiNqnOFe2lURNaURcmY7osYZ7qVdFVFTGiFntiNq\nnOFe2lURNaURcmY7osYZ7uaqV9uiJgXGPJMiq7dpMnMjQ58592rjytESQNRES4r9whJA1ITF4mgj\nosZR/ClzcUSNzqgRNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDXO5dK1+mzr4qkj\namb/wx01zr3auHK0BBA10ZJiv7AEEDVhsTjaiKhxFH/KXBxRozNqRI3OXBA1OnNB1OjMBVGjMxdE\njc5cEDU6c0HU6MwFUaMzF0SNc7l0qW4NfWZ7GuuOkzRrYeeNJ9bcm+tzGPrMuRcbV46aAKImalTs\nGI4AoiYcFWfbEDXO8k+VqyNqdCaNqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkganTmgqhx\nLpdO9h01zl0/2Vd+5J+uyb4k14NAmQkgasqMjAMCCSBqAmnoWEbU6MjB61UganQmjKjRmQuiRmcu\niBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKocS6XK1NM1DyKqHHuxcaVoyaAqIkaFTuGI4CoCUfF\n2TZEjbP8U+XqiBqdSSNqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbkgapzLpX21WUFP\nqPFV4h8BzWoIfIKN27fP//cqXxeYQ0AtAUSN2mjcURiiRl9OiBp9mXixIkSNzlQRNTpzQdTozAVR\nozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDXO5dKumKiJJGi80v4Yosa5FxtXjpoAoiZqVOwYjgCi\nJhwVZ9sQNc7yT5WrI2p0Jo2o0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqHEulyuq\nzbQuniZFRUWSlvbfvTNeXX8CUePci40rR00AURM1KnYMRwBRE46Ks22IGmf5p8rVETU6k0bU6MwF\nUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1DiXy+UpdkfNAkSNcy82rhw1AURN1KjYMRwB\nRE04Ks62IWqc5Z8qV0fU6EwaUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVHjXC6X\nVp3pfwaNrwrffTVeXH9q09W+bjGHgFoCiBq10bijMESNvpwQNfoy8WJFiBqdqSJqdOaCqNGZC6JG\nZy6IGp25IGp05oKo0ZkLokZnLoganbkgapzLpY0lalJpehpRk0pxu7aviBrXRqejcESNjhwCq0DU\nBNJgOVEEEDWJIhvbeRE1sfFL1NGImkSRje28iJrY+CXqaERNosjGdl5ETWz8EnU0oiZRZGM7L6Im\nNn6JOhpRkyiysZ0XURMbv1iOvqTKDOvZNGI9o8Z6Uk0KzBdt6hYLLo6FQFIIIGqSgtm7F0HU6MsW\nUaMvEy9WhKjRmSqiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLosa5XC6uaoka6/JG\n1NgLu2ZeXX8WUePci40rR00AURM1KnYMRwBRE46Ks22IGmf5p8rVETU6k0bU6MwFUaMzF0SNzlwQ\nNTpzQdTozAVRozMXRI3OXBA1OnNB1DiXy4VVplsX9/JTaQzb//q3ZPM1zsHmyhCIkgCiJkpQ7Bae\nAKImPBcnWxE1TtJPnWsjanRmjajRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKocS6X\nC4JEjU9oeHf+3GaGPnPu1caVoyWAqImWFPuFJYCoCYvF0UZEjaP4U+biiBqdUSNqdOaCqNGZC6JG\nZy6IGp25IGp05oKo0ZkLokZnLoganbkgapzLpWVlc0dN6kwvbOGOmtRJ2709RdS4NzsVlSNqVMQQ\nVASiJggHKwkigKhJENgYT4uoiRFggg5H1CQIbIynRdTECDBBhyNqEgQ2xtMiamIEmKDDETUJAhvj\naRE1MQJM0OGImgSBjfG0iJoYAcZw+PlG1Hj3Bhrr4TsWnID+vcjQZzG8Wjg0WQQQNcki7dHrIGr0\nBYuo0ZeJFytC1OhMFVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVR41wu52U/HCQy\niosNr62/tOVa52BzZQhESQBREyUodgtPAFETnouTrYgaJ+mnzrURNTqzRtTozAVRozMXRI3OXBA1\nOnNB1OjMBVGjMxdEjc5cEDU6c0HUOJfLuZUtUZNC08uImhRK271dRdS4NzsVlSNqVMQQVASiJggH\nKwkigKhJENgYT4uoiRFggg5H1CQIbIynRdTECDBBhyNqEgQ2xtMiamIEmKDDETUJAhvjaRE1MQJM\n0OGImgSBjfG0iJoYAcZw+DnZD1lHB4wN5rVbaIr155Uc7qiJ4eXCoUkigKhJEmivXgZRoy9ZRI2+\nTLxYEaJGZ6qIGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBrncjk7xUTNq4ga515s\nXDlqAoiaqFGxYzgC7avNCtfsyratRYXyd8F22VpU4Mr6fUUXWN8a2G71wcy9MBVa/TB9MX+Y9BBI\ns755k2H9Z4SNm6c9MjPl0AoVZY/Mcm7uhr/27Ao7ZK+qW8XM3TxVrpwre+/3t1SustXN3fDXXlSQ\nLjt2ZEihNXfzZPqQt7WC7MjPcHM3/LVnZBRKufI7JD3D3T/3M8sVSFalbZJZ3t398AWTs7mirPtt\nD9lizd08VaqcJ3vu84+YuRemHdut9/8W6/2/PdPV3TGCtnyFfMlw+fveF4L5e3nb1vLWzxh351Ix\ne5vU2GuTZFlzL0z528rJln8rynZr7ubJ+rBoZ/ke+TXMvF+22v+Ocff7pcD692S+9Xex2/9d6Xtv\n5Fjvk/WbKkrONnfnYvozfI277tg4q5K5o8ZM5k0e+Hu9N9dfy+1u95b/QUAzAUSN5nRcUFvbqjNd\nUGV0JeZYcuPPwm2SW+juDzhNb82H6F6Z8qVQtkq+9afQK13yRD/MK8wLr7N9y5WTxpWyZZ9y5T2R\nS+WK22WfGlukctZ2V/cnq+I2qV5zs1S0Pnz2wmR/kJZnPkhzt+BISyuS9PRCSfPIj5id/Smy+uPu\nT6CMaCpnyVkjnrwwbc2tIBv/qiZm7ubJfn1lWpm4/PXly6B8uR2SnZ0n5ay5myfz93CeB8SGLwPz\nge1268NNM3fzlF0lT2rtu1GyPfIFDfOrWJqJxOU/LwtsQWv9+8Wae2Eykmbjxir23wFu7o+5M8i8\n5wsLXf4C2xXCP3kZsuaf8mLmbp/m/n2Nq7pwZvY0+3d686VY87t98Nynb4q3+9bdt/31HESNq16g\nKVosoiZFg49Xty/zlKjZIesK8mRLkbt/AfXKkFS+1+h2636azbLd+uONbwr7+sVcB4Ha5cvLCdmV\nxcy9MFW2BMe+e2wWM3fzZL7tXKVajlSo4G7h5MsgPz9z1zc43f0L6M6hwvIl0/pGOpMeAumWoMmw\n7qoxEs0L0zbrg7R/rQ/SzF0Cbp52WB+ibbO+Jex2QevLoJIlaWrVsu4QsuZunvIsaW6/vqy5F6YC\n6wPbfOsuR7eLmspVrTtpa2+w7qTN9UIs1t/JhVIh2/p5af3d7OZp+1brzqAN1p1B1twLU05Olqxf\nX0NyrbmbJzOkbkGB9WG5NffC9Hdeuny3sZz8vdXdwtlksXhLN1dFcnqlqa6qN9Zi38rtEespOB4C\nCSeAqEk4Ym9fAFGjL19Ejb5MqEgvAUSNzmwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdE\njc5cTFVuEzWnZaeWqHk7B1Gj991DZT4CiBofCea7RQBRs1vYEnoQoiaheDm5xwgganQGiqjRmQui\nRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05mKqcpuoObnSZL0wE1DZe7k9E3BWTgmB+BJA1MSX\nZ8qdDVGjL3JEjb5MqEgvAUSNzmwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cTFVu\nEzUnWqLGPHuyyHpcYyrM389B1Oh991CZjwCixkeC+W4RQNTsFraEHoSoSSheTu4xAoganYEianTm\ngqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25mKrcJmqaVJpkVW2edWSZmhSYf5Tby+onEwR0\nE0DU6M5HfXWIGn0RIWr0ZUJFegkganRmg6jRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp0\n5mKqcpuoOd6ImtTxNPJxTm+9Lx4qg8AuAogaXgoxEUDUxIQvIQcjahKClZN6lACiRmewiBqduSBq\ndOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLqYqt4maYyo9oBdmAir7LPeGBJyVU0IgvgQQNfHl\nmXJnQ9ToixxRoy8TKtJLAFGjMxtEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXU5Xb\nRE3jSvfbMH0Dn/nIenV9Re6Nvi4yh4BaAogatdG4ozBEjb6cEDX6MqEivQQQNTqzQdTozAVRozMX\nRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6czFVuU3UHFVpol6YCajsi9w+CTgrp4RAfAkgauLLM+XO\nhqjRFzmiRl8mVKSXAKJGZzaIGp25IGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcupiq3iZoj\nI4qa4vfUFGfuzu1fImqKB8m6QgKIGoWhuKkkRI2+tBA1+jKhIr0EEDU6s0HU6MwFUaMzF0SNzlwQ\nNTpzQdTozAVRozMXRI3OXBA1OnMxVblN1DSoeJ9ImlW4z7t4fL4yt5/eFw+VQWAXAUQNL4WYCCBq\nYsKXkIMRNQnBykk9SgBRozNYRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF1OV20TN\n4ZUsUZNC0zeImhRK271dRdS4N7uEVp6Xt12yssqXeg1ETamIkr4DoibpyLmgiwkganSGh6jRmQui\nRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05mKqcpuoObTSOKtq65aaIutWmrSAW2s8uv5d7k16\nXzxUBoFdBBA1vBT8BBYvfUuWv/WJfPTZ15KTmyf777eXND7yULmk5RlyfOMG/v0CFxA1gTR0LCNq\ndORAFe4ggKjRmROiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZmLqcptouYQW9To5Rnv\nyr7PvTnep+R8EIg7AURN3JG674SFhUUyYdrjMveJFyMWf8+Q6+X8s08O2Y6oCUHieAOixvEIKMBF\nBBA1OsNC1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzMVW5TdQcVHHMzjtpfHfQ+J9R\n41/w1PYfc/uX+cUT7WhDZT4xB0AgAgFETQQwqdS84JlX5e4Jc+wuN2p4iFzR+hw5YP+9ZeWqNTJ1\n9iLZsHGTvW3e1GFyxOH1gtAgaoJwqFhB1KiIgSJcQgBRozMoRI3OXBA1OnNB1OjMBVGjMxdEjc5c\nEDU6c0HU6MwFUaMzF1OV20RN3UqWqEmhaU3ugKh6uzujDUV1YnaCQBQEEDVRQPL6Lm26DpLVa361\nhzqbN/VOqVY129/lVT/8LG273W6vt734bLmtXxf/NrOAqAnCoWIFUaMiBopwCQFEjc6gEDU6c0HU\n6MwFUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXExVbhM1dSreaz+axn9Dza5H1Xh1/efcW0p88cQy\n2lCJJ2YjBMpAAFFTBlhe3PXLlavlyuuH2V27/aar5LKLzgrp5u13T5PnXn7Hbn9v6cNSMauCfx9E\njR+FmgVEjZooKMQFBBA1OkNC1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzMVW5TdTs\nX2m0VXWa9V/AUGceXv+lFFETy2hDJn8mCMSDAKImHhRdfI7Hnl4mo+9/xO7BkzNHyqH16oT0xtz2\nN3TUw3b73MlDxQyP5psQNT4SeuaIGj1ZUIl+AoganRkhanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZ\nC6JGZy6IGp25mKrcJmr2rThKL8wEVPb71oElnjWW0YZKPDEbIVAGAoiaMsDy4q6Tpi+U6Y8utrv2\n6fLZkp6eHtLNr7/9UTpcd4fdPmFkX2l66rH+fRA1fhRqFhA1aqKgEBcQQNToDAlRozMXRI3OXBA1\nOnNB1OjMBVGjMxdEjc5cEDU6c0HU6MzFVOU2UbOPETX2DTW7xjzzofWPfWY1eGj7H7mRRU2sow35\n0DGHQKwEEDWxEnT58XeOmSGLnn/D7sWK1+eG7c2PP/8urTvfam8bOuBqadOqqX8/RI0fhZoFRI2a\nKCjEBQQQNTpDQtTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6czFVuU3U1Kp4t+Vh0qyB\nz4p2+hirD15e/3PrbRFfPLGONhTxxGyAQBkJIGrKCMxru98wcLy89f4KqVmjqixfNCls9/74c4O0\naNvX3tar26VybaeL/fshavwo1CwgatREQSEuIICo0RkSokZnLoganbkganTmgqjRmQuiRmcuiBqd\nuSBqdOaCqNGZi6nKbaJmz0p374Tpe0SND61H1//KjSxqYh1tyIeOOQRiJYCoiZWgy4/v0f9eef/j\nL2XvWjXlpScnhO3N+r82SvPL+tjbEDVhEalqRNSoioNilBNA1OgMCFGjMxdEjc5cEDU6c0HU6MwF\nUaMzF0SNzlwQNTpzQdTozMVU5TZRU6PiXQF30PjurNk53zXmmae2b9g6OOKLJ9bRhiKemA0QKCMB\nRE0ZgXlt98Ejp8rzy96V7EpZ8s4LD4Xt3s+//CEXXXmLvW1Qn85yRetz/PtxR40fhZoFRI2aKCjE\nBQQQNTpDQtTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6czFVuU3UVLdETcCYZ2KNgObp\n9X9yb4/44ol1tKGIJ2YDBMpIAFFTRmBe2338lMdk7hMv2t2K9Iyab777SdpdO8TeZ8yw3tK86Ql+\nDIgaPwo1C4gaNVFQiAsIIGp0hoSo0ZkLokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOZiqnKb\nqKlacYRemAmobNPWnZ9rhjt1rKMNhTsnbRDYHQKImt2h5qFj5jz+gtw39XG7R688db/suUf1kN69\n9vYn0u/2iXb7jIm3yXFHH+7fB1HjR6FmAVGjJgoKcQEBRI3OkBA1OnNB1OjMBVGjMxdEjc5cEDU6\nc0HU6MwFUaMzF0SNzlxMVW4TNXpJJr+yWEcbSn7FXNGrBBA1Xk02yn69/s6n0nfwzmfTjB1+g5xz\nRpOQI8c+OF8efXKp3f7ywomy1541/Psgavwo1CwgatREQSEuIICo0RkSokZnLoganbkganTmgqjR\nmQuiRmcuiBqduSBqdOaCqNGZi6kKUaM3m9Iqi3W0odLOz3YIREsAURMtKY/utz1/h5x1cU/Jyc2T\n005sJPffc7Okp6f5e7tpc45c0vlW2bBxk7190uj+/m1mAVEThEPFCqJGRQwU4RICiBqdnKZxDQAA\nMLBJREFUQSFqdOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLoganbmYqhA1erMprbJYRxsq7fxs\nh0C0BBA10ZLy8H5m6DPzl5KZrupwgXS89Fx7CLS1v66TeybMlXc/+sLeNm74jXL2Gcfby77/IWp8\nJPTMETV6sqAS/QQQNTozQtTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6czFVIWr0ZlNa\nZbGONlTa+dkOgWgJIGqiJeXh/czdMr1uHSsrV63x9zK7UpZ9l42v4fxzTpYRA7tLZmaGr8meI2qC\ncKhYQdSoiIEiXEIAUaMzKESNzlwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdTFaJGbzal\nVRbraEOlnZ/tEIiWAKImWlIe388MfTbs3umy7PUPg3pqhE3Hy86THl3bBA2J5tsJUeMjoWeOqNGT\nBZXoJ4Co0ZkRokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZi6kKUaM3m2gqi2W0oWjO\nzz4QiIYAoiYaSim0T771zJoff/5Nfl/3txx0wL6y/357hxU0PiSIGh8JPXNEjZ4sqEQ/AUSNzowQ\nNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cTFWIGr3ZRFNZLKMNRXN+9oFANAQQNdFQ\nYp+IBBA1EdE4tgFR4xh6LuxCAoganaEhanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25\nmKoQNXqzibay3R1tKNrzsx8ESiOAqCmNENtLJICoKRGPIxsRNY5g56IuJYCo0RkcokZnLoganbkg\nanTmgqjRmQuiRmcuiBqduSBqdOaCqNGZi6kKUaM3m7JWVtbRhsp6fvaHQCQCiJpIZGiPigCiJipM\nSd0JUZNU3FzM5QQQNToDRNTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6czFVIWr0ZkNl\nEHALAUSNW5JSWieiRl8wiBp9mVCRXgKIGp3ZIGp05oKo0ZkLokZnLoganbkganTmgqjRmQuiRmcu\niBqduZiqEDV6s6EyCLiFAKLGLUkprRNRoy8YRI2+TKhILwFEjc5sEDU6c0HU6MwFUaMzF0SNzlwQ\nNTpzQdTozAVRozMXRI3OXExViBq92VAZBNxCAFHjlqSU1omo0RcMokZfJlSklwCiRmc2iBqduSBq\ndOaCqNGZC6JGZy6IGp25IGp05oKo0ZkLokZnLqYqRI3ebKgMAm4hgKhxS1JK60TU6AsGUaMvEyrS\nSwBRozMbRI3OXBA1OnNB1OjMBVGjMxdEjc5cEDU6c0HU6MwFUaMzF1MVokZvNlQGAbcQQNS4JSml\ndSJq9AWDqNGXCRXpJYCo0ZkNokZnLoganbkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZi6kKUaM3\nGyqDgFsIIGrckpTSOhE1+oJB1OjLhIr0EkDU6MwGUaMzF0SNzlwQNTpzQdTozAVRozMXRI3OXBA1\nOnNB1OjMxVSFqNGbDZVBwC0EEDVuSUppnYgafcEgavRlQkV6CSBqdGaDqNGZC6JGZy6IGp25IGp0\n5oKo0ZkLokZnLoganbkganTmYqpC1OjNhsog4BYCiBq3JKW0TkSNvmAQNfoyoSK9BBA1OrNB1OjM\nBVGjMxdEjc5cEDU6c0HU6MwFUaMzF0SNzlwQNTpzMVUhavRmQ2UQcAsBRI1bklJaJ6JGXzCIGn2Z\nUJFeAogandkganTmgqjRmQuiRmcuiBqduSBqdOaCqNGZC6JGZy6IGp25mKoQNXqzoTIIuIUAosYt\nSSmtE1GjLxhEjb5MqEgvAUSNzmwQNTpzQdTozAVRozMXRI3OXBA1OnNB1OjMBVGjMxdEjc5cTFWI\nGr3ZUBkE3EIAUeOWpKgTAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABzxFA1HguUjoEAQhA\nAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEICAWwggatySFHVCAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACEIAABCDgOQKIGs9FSocgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhBwCwFEjVuSok4I\nQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQ8RwBR47lI6RAEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCAAAQhAAAJuIYCocUtS1AkBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgIDnCCBqPBep\n9zqUl7ddsrLKe69j9AgCEIAABCAAgTIRKCwslPwdBVKhfLkyHcfOEIAABCAAAQgkn0BhYZHk5G6V\nytkVJS0trcwF8HO/zMg4AAIQgAAEXEwAUePi8Lxc+oovv5OFi5eLmf/y25+SXSlLmhzTUM44pbG0\nadXUy12nbxBISQJ/rPtb7pk4N6q+n33G8XJRi9Oj2pedIAABfQSmzl4k73/8pbS5oGlU7+Vt2/Nl\n9mPPy0efrZSPV6y0O9Sgfl05quHB0uWKllJ731r6OklFEIBACIGyvPfNe/6zL1aFnCNcw6ihPaVi\nVoVwm2iDAASSTGBLTq4sf+sTeev9z2XVDz/LT2v/8FdQ/+A60uLsk6V9m+Ylvmf5ue9HxgIEIAAB\nCKQYAURNigXuhu4ue/1DGTBsUsRSzT/sBvTuKOnp6RH3YQMEIOAuAt+tXiuXXz04qqK7tGsp/Xq0\ni2pfdoIABHQR+PX39dK222Dr27V5cv1VbeS6LpeUWOCmzTly05D7/YKm+M41a1SVqWNvFfPhDxME\nIKCXQFnf++Z3AfM7QTTTm0umSNUq2dHsyj4QgECCCUx8aIHMmv9ciVcxP7ufeHiE1NqzRsh+/NwP\nQUIDBCAAAQikEAFETQqF7Yaurvphrf0BjqnV/APuus6XSMPDD7Lvqnny2eXy6f++tbtxc88O0qlt\nCzd0iRohAIEoCASKmlOaHCUHHbhfxKOaHNNAmp56bMTtbIAABHQR+HLlavn2+5/km+9+khdeedeW\nNKbCaERN4Ie1F5x7qpx71on28Ckfr/hGJs98yu6ouev21acnMUyqrtipBgISj/e+eX9f0vLMEmne\neO3lUqECwySXCImNEEgSAZ+oMb/Lt7beuwfXrS1Vq1aWDz75Ul5+7UNZt36DXcnxjRvI9AmDQqri\n534IEhogAAEIQCCFCCBqUihsN3R17IPz5dEnl9qlzps6TI44vJ6/bHMbdccew+zbp/ffby9ZMm/M\nbo1z6z8hCxCAgBoCgaJmwsi+iBg1yVAIBGInMHL8bHnSGs60+FSaqPlrw79yTpsb7MOaNz1BRg/t\nZd1N+9/49k8//7oMHzPT3m62ndfsxOKXYB0CEHCQwO6+903Jvg9r61kf8j49+x4He8GlIQCBshBY\n8tLbUlBQKOefc3LI8+Ty83dI1xvukq++WW2fctnCiUF31fBzvyyk2RcCEIAABLxIAFHjxVRd2qdt\n27ZLs9a97W/amm/M3ntHr5CePPvim3LH6Ol2++xJQ6TxkYeG7EMDBCDgPgKIGvdlRsUQiJbAW++v\nsO+m8e3/4Iydd8KUJmrmPvGijJ/ymH3YU9YHteZbuYFTUVGRnG2JnA0bN8lJxx9pDYF2S+BmliEA\nAYcJ7O5735SNqHE4PC4PgQQReGrJazJi3Cz77FPG3CInNznSfyV+7vtRsAABCEAAAilKAFGTosFr\n7LYZEqXdtUPs0m7r10XaXnx2SJlrf10nF3YcYLf3ve4K6dq+Vcg+NEAAAu4jgKhxX2ZUDIHdJdC4\naWf70NJETd/BE+T1dz4VM/TRW89NC7qbxnftIaMekiVL37ZXP10+J+w+vn2ZQwACzhKI9r1vqkTU\nOJsVV4dAoggEfvHy4fsGiRnS2Dfxc99HgjkEIAABCKQqAURNqiavsN/vffSlXD/gXruyWQ/cLscc\nVT9slb5f8swzasyzapggAAH3EwgUNSMGdZeTjjtC0tLTpUa1ypKRkeH+DtIDCEDAT8D3c7w0UWOG\nOzXDo5xwbEN5aPxA//GBC2a4VDNsqpneWDxZqlnj4DNBAAI6CUT73jfV+0TNgXX2kdkPDJHt+fmS\nmZlh/bugiiVk03V2kKogAIFSCdw5ZoYsev4Ne78XHh8v++2zp/8Yfu77UbAAAQhAAAIpSgBRk6LB\na+z288velcEjp9qlLZhxl9Q/+ICwZZ7asrs9PJoZ9/ae268Puw+NEICAuwgEiprilZuHkV58/hly\n2YVnSe19axXfzDoEIOAyAtF+WHve5X3thw43O/04GT+iT9heBj6nZtHc0XLQAfuG3Y9GCEDAeQLR\nvvdNpT5RE67qYxsdJh0uO1fOOvVYvswRDhBtEFBK4Nff10ur9jfb1TVqeIjMnTw0qFJ+7gfhYAUC\nEIAABFKQAKImBUPX2uXAMWmXzBsjdWrvHbbUCzr0l19++1OOb9xApk8YFHYfGiEAAXcRKEnUBPZk\n3tRhcsTh9QKbWIYABFxGIJoPa83zZ445q4vdswtbnCYjBnYP28uly9+XgcMn29tmTBwsxx19WNj9\naIQABJwnEM1731dlSaLGt495puWoIT0Z8tAHhDkEFBMwz6PtesNdsnLVGrvKB+/tL6ee0MhfMT/3\n/ShYgAAEIACBFCaAqEnh8LV1fca8JfLAw0/aZT3/2LiI35xH1GhLjnogEDuBfzdtkRdeeU/qHbif\n1KheVSpVrCBbcrbKT2v/kCcXL5ePV6y0L2KeVbHYErl71KgW+0U5AwQg4AiBaD6sLSgokOPOvsqu\nr3WrM+WOAd3C1rrs9Q/tb96bjYiasIhohIAaAtG8933FmudT5Vkf7Jo7aatUrmQ3b/xns7zzwf/k\nsadftu+uN409r75Uune+2HcYcwhAQCEB8zN94IgpYn5mm+nKy1tI/17BQ5jzc19hcJQEAQhAAAJJ\nJ4CoSTpyLhiJgBmr1oxZa6anZ98j9erWDrtrs9a9ZcPGTXLOGU1k7PAbwu5DIwQg4C0CI8bNkqeW\nvGZ3yrzvzfufCQIQcCeBaD+s9Q112qLZSTJqaM+wnQ18KPGCGSOtYVPrhN2PRghAwHkC0b73S6t0\n9ZpfpVPPO21ZY55h8+wjO59xWdpxbIcABJJPoLCwUIaOeliee/kd++LNm55g3Ql3fdhhC/m5n/x8\nuCIEIAABCOgigKjRlUdKV/PGu59Jn9vusxnMn3anNDzsoLA8fL/ktWvdXAb26RR2HxohAAFvEVhr\nDXd4oTXsoZm6dbxQbrj2cm91kN5AIIUI+H6OX39VG7muyyURe96222BZ9cNaOfOUY2Ti3f3C7vf4\nomUyauIj9rZlCydKrT1rhN2PRghAwHkC0b73o6nUfPC7eOlb9q7vPD9NsrMrRnMY+0AAAkkkkJ+/\nQ4aOflhetO6aN5N55tzoob2kXLnMsFXwcz8sFhohAAEIQCCFCCBqUihs7V3939ffS+eew+0yx9x5\ngzQ/M/Qb82bIg7Mu6WXvw1AH2hOlPgjEj8B26xe9E5pfbZ+wpGGQ4ndFzgQBCCSKQLQf1va+day8\nbQ1zVNI35sc+OF8efXKpXerHr8ySzMyMRJXNeSEAgRgJRPvej+YyU2cvEvOfmUoaMjmac7EPBCAQ\nfwK5W/Ok/9AH5N2PvrBPfknLM2TIzVeFvZPGd3V+7vtIMIcABCAAgVQlgKhJ1eQV9jtQwrRv01xu\nvTH0bhkzXnXfwRPs6scM6y3m1mkmCEDA+wTMMCdtug6yO9r3uiuka/tW3u80PYSARwlE+2HtuMnz\n5ZEFOyXMK0/dL3vuUT2EiPl7wfz9sP9+e8lz88eGbKcBAhDQQyDa9340FQ8cPlmWLn/f3vWTV2eV\n+OFvNOdjHwhAIH4E1v+1UW60RspYuWqNfVLz7/Y+3dtKWlpaiRfh536JeNgIAQhAAAIpQABRkwIh\nu6mLRsIYGVOzRlVZNGeUVKta2V9+UVGR9Lt9or3dPFD81acnSVZWef92FiAAAfcSMN+aP+HYhlI+\nwlAIg+6a4h82Ydq4W+XE445wb2epHAIpTiDaD2u/+e4naXftEJtWOEH79bc/Sofr7rC39+vRTrq0\na5niZOk+BHQTiPa9v2bt72L9s18OOmDfsB36/sdf5LKrbrO3NWp4iMydPDTsfjRCAALJJ2CGLO3R\nf7T9TFlz9UF9OssVrc+JqhB+7keFiZ0gAAEIQMDDBBA1Hg7XjV17870VcuOg8XbpJx1/pH1XTV3r\nIaHmbpt5C1+SGfOW2Ns6XHqu3HLDlW7sIjVDAAJhCJiHh1aoUF66XNFSjmlU3/pwZj+pmFVBzIc1\nU2ctklfe/Mg+6thGh8n0CbdJenrJ38gLcwmaIAABhwiYoQvNOPW+ybzfzXR1hwuk25UX+ZrFfAmj\n+OQbr96032M9fPiMk4+RrArlrG/p/mR9W3e8/4Mgnk9TnBzrEHCewO6+9xc8+6rcfd8c+3kWF59/\nhtQ7cD/Zb589ZUvOVjHPtBx9/yOSk5tnd3DaeOvLG8fy5Q3n06YCCOwk4BOyZs38zn7WacdFRGNu\nsDnmqPpBd8Txcz8iLjZAAAIQgEAKEEDUpEDIbupiQUGB3Dlmpv/hoOFqr39wHXlwdH8eGBwODm0Q\ncCkB88Gt70OXSF0wd9rNfuB2OWD/fSLtQjsEIKCQwMjxs+XJxctLreyNxZOD7qQ1B3y5crVcd/Oo\nEv9+KMu3dUstgh0gAIG4Edjd975P1JRWSKe2LeTmnh1K243tEIBAEgkEippoLlv8Zz8/96Ohxj4Q\ngAAEIOBVAogarybr4n6ZIc6mzXnGGpf+xZAPZpqdfpwMH3itVM6u5OIeUjoEIFCcgLlj7oVX3pOv\nvlldfJO9fvlFzeSGay+XqlWyw26nEQIQ0EvAfDPefPBa2vTG4imWqAl9j5s76waNmOIf6953HiNv\nB/frKmefcbyviTkEIKCIwO6+981zp+Zavwcse/3DkN8FTPfMM6kG9e0sp57QSFFvKQUCEDAEyipq\n3lwyJeTf9/zc57UEAQhAAAKpSgBRk6rJu6DfRtj88tufsvqn32TvWjWlXt3aEZ9f4YLuUCIEIBAF\ngU2bc2Td+g3y19//yo6CHVKn9t6y/757SWZmRhRHswsEIOBlAuauu+9Wr7U+uN0q9evV4c5aL4dN\n3yBgETB32q9bv1H+2vCP/L3hX6lZvaocaA2JXL1aFfhAAAIpQICf+ykQMl2EAAQgAIEgAoiaIBys\nQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHkEUDUJI81V4IABCAAAQhAAAIQgAAEIAAB\nCEAAAhCAAAQgAAEIQAACQQQQNUE4WIEABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACySOA\nqEkea64EAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABIIIIGqCcLACAQhAAAIQgAAEIAAB\nCEAAAhCAAAQgAAEIQAACEIAABJJHAFGTPNZcCQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAA\nAQgEEUDUBOFgBQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgkjwCiJnmsuRIEIAABCEAA\nAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQCCKAqAnCwQoEIAABCEAAAhCAAAQgAAEIQAACEIAABCAA\nAQhAAAIQSB4BRE3yWHMlCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBEAFEThIMVCEAA\nAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIJA8Aoia5LHmShCAAAQgAAEIQAACEIAABCAAAQhA\nAAIQgAAEIAABCEAgiACiJggHKxCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgeQQQNclj\nzZUgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQBABRE0QDlYgAAEIQAACEIAABCAAAQhA\nAAIQgAAEIAABCEAAAhCAQPIIIGqSx5orQQACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIEg\nAoiaIBysQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHkEUDUJI81V4IABCAAAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACQQQQNUE4WIEABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEI\nQAACySOAqEkea64EAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABIIIIGqCcLACAQhAAAIQ\ngAAEIAABCEAAAhCAAAQgAAEIQAACEIAABJJHAFGTPNZcCQIQgAAEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCAAAQgEEUDUBOFgBQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgkjwCiJnmsuRIE\nIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQCCKAqAnCwQoEIAABCEAAAhCAAAQgAAEIQAAC\nEIAABCAAAQhAAAIQSB4BRE3yWHMlCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBEAFET\nhIMVCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIJA8Aoia5LHmShCAAAQgAAEIQAACEIAA\nBCAAAQhAAAIQgAAEIAABCEAgiACiJggHKxCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAg\neQQQNcljzZUgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQBABRE0QDlYgAAEIQAACEIAA\nBCAAAQhAAAIQgAAEIAABCEAAAhCAQPIIIGqSx5orQQACEIAABCAAAQgoJ/DBJ1/Jm++tsKu8+PzT\npf7BByivOPHlbcnJlSmzFtkXqnvAvnL5Rc0Sf1GuAAEIQAACEIAABCAAAQhAIIUIIGpSKGy6CgEI\nQAACEIAABLxAYNUPP8sdo6fbXalSuZI8NH5g3Lr10NxnZfLMp+zzjR7aS85rdmLczu3WE/2x7m9p\ncUU/u/wTjm0YV95uZULdEIAABCAAAQhAAAIQgAAE4kkAURNPmpwLAhCAAAQgAAEIQCDhBD75/Fvp\n1mek/zorXp/rX451AVETShBRE8qEFghAAAIQgAAEIAABCEAAAvEkgKiJJ03OBQEIQAACEIAABCCQ\ncAKImoQjDroAoiYIBysQgAAEIAABCEAAAhCAAATiTgBRE3eknBACEIAABCAAAQhAIJEEtufvkN/+\nWG9fIjMjQ/bfb6+4XY47akJRImpCmdACAQhAAAIQgAAEIAABCEAgngQQNfGkybkgAAEIQAACEIAA\nBGIiUFhYJOnpaTGdI5aD3SJqksmpNFETay2xHh9L3hwLAQhAAAIQgAAEIAABCEBAAwFEjYYUqAEC\nEIAABCAAAQikCIFvvvtJnnv5Hbu3p598tDRp3EBefPV9+eCTr+Tzr76Tn9b+IQ3q15VjjqovHS87\nT2rvWyuEzNa8bfLgjKfs9jrW3TRXtD4nZB9fw29//GWd/z357oe1svK7NbJ5S64cUHtvOejA/eTU\nExvJGScfI+XLZfp2l2hETVFRkTz65Euybv0G+7iKWRWkV7dL7eU//txgbVtqLx/ZoJ60aHaS/9yB\nCwUFBTJh2hNinUpq7VFdurRrGbhZ4sEp6IQxrIQTNassns8ve0c+//I7WWH9V7NGVWlo5XbphWfJ\nWacdV+rV3v7gf/LGO5/Kl9+slpWr1tjHH9XgYDni8HrSzsqzapXssOf4eMVKef2dz+xtLc85WRoe\ndlDY/db+uk6eeOZVe9txRx8WUtP0RxfLP/9usaVgvx7tJC0tTTb+s9mq5wf5+ts1kpO7VfasWV06\nX3F+2PPTCAEIQAACEIAABCAAAQhAIJ4EEDXxpMm5IAABCEAAAhCAAARKJGCkyaARU+x9mp56rKz/\n+x/5yvqwPtyUXSlLpoy9RRo1PCRo818b/pVz2txgtzU+8lCZPWlI0HazYmTK08+9LiPGzQrZFthg\nrjFv2p1St86+dnM0ombsg/P9MsYc9ND4gXLCsQ3t4//39ffSuedwe/miFqfL8IHX2svF/5eXt11O\nanGN3XxgnX3k2UfuDdolHpyCThjDSqCoMSLF9HXW/OcintFIJyM/wk2m3+OnPiYLdkmUcPvsXaum\n3HtHLznayrb4NOfxF+S+qY/bzSMGdZcLzzut+C72uhF/19082l7ucOm5cssNVwbtd97lff2i7YOX\npsujC1+SBx5+Mmgfs7Li9bkhbTRAAAIQgAAEIAABCEAAAhCINwFETbyJcj4IQAACEIAABCAAgYgE\nAgVE8Z2MsPjLEjc5uXlBm95YPEWqVf3vDotoRM2YSfNknvXhu28yQsbcpZNhPdPmi5U/yIaNm3yb\n5NEpw8Tc/WKm0kTN/Q8tkJkBkuLh+wZJk2Ma+M+VCFHjP/muhWg5FT9ud9cDRU3xc5g7aapUrmTf\nCRW47fGHR8jhhx4Y2GQv9751rJi7aXyTEW31DznAvpvlk8+/CcrlkSl3iLnLJnBKhKipV7e2rF7z\na+Bl/MuIGj8KFiAAAQhAAAIQgAAEIACBBBJA1CQQLqeGAAQgAAEIQAACEAgmUFzU7G8NXXZzz/Zy\n4nFHSKWKWfadMO98+IWYD/R9043d28rVHS7wrUppoubrb3+UDtfd4d+/R9fWcm2ni2xJ42s0Q3eN\nn/KYvP/xl1GLmqmzF4n5zzdNnzBIjreGbgucEiVqdodTYF2xLIcTNd07XywXn3+Gf2i6P//aaGdm\nuJqpdasz5Y4B3YIuawSNL1cjzkbf0VtOs4af801bcnJl6KiHZflbn9hNRuLMeuB2e1gy3z6JEDW+\nc5s7vI5tdJgYcWOG11v3599y5eUtfJuZQwACEIAABCAAAQhAAAIQSBgBRE3C0HJiCEAAAhCAAAQg\nAIHiBAJFzfnWM0buvPXaoGfE+PZ/Ydm7ctvIqfaq+VD/reem2c8TMQ2liZqOPYb5h1O75sqLpPc1\nl/lOGzJ/870V1nNRDpI9alSzt0W6o2bGvCVBQ2PNmHibHHf04SHnS4So2V1OIcXtZkOgqDHDkk0b\nf6t/qLjAUwaKmHBD0rXpOsh/54oZEs4MDVd8ys/fIRd06O8fluy+u/oEPV8mEaLGPBPJSKVwdwAV\nr491CEAAAhCAAAQgAAEIQAACiSCAqEkEVc4JAQhAAAIQgAAEIBCWQKCoMQLFiJRw07bt+dLskl7+\nYdBeefoB6+HuO2VKSaLm3005cuZF19unNILnxSfui/hg+nDXDSdqHlmwVMZNnu/ffcbEwZakOcy/\nHriQCFGzu5wC64plOVDUmOfTmGfyhJvMkHWntuxubzLs33nhIf9uZqi5Zq172+tmuLSlCyaEFXRm\nhycWvSL3TNz5bBhzR0v/Xh3850mEqPlw2cyItfgvzAIEIAABCEAAAhCAAAQgAIEEEkDUJBAup4YA\nBCAAAQhAAAIQCCYQragxR3W/aZR8+OnX9gnmPzRcGlp3PpipJFHz5crVcuX1w+z9TmlylEweM8Be\njvZ/xUXNv5u2yN0T5vgPn3n/YHt4LH9DsYVkixpz+UicipW226vRihpzgcZNO/uvE/h8l0AuZ55y\njEy8u59/v+ILgUPXnX5SY3lg1E3+XRIhaj5dPtu6Wyvdfw0WIAABCEAAAhCAAAQgAAEIJJsAoibZ\nxLkeBCAAAQhAAAIQSGECZRE1g62hz563hkAz0/333CRnnNzYXi5J1Jj9zXFmuvyiZjL4pq72crT/\nCxQ1ZviuFV9+5z90zLDe0rzpCf71cAuBQsIM7WWG+Ao35eVtl5NaXGNvOrDOPvLsI/cG7RYPTkEn\njGGlLKLG3FFj7qwxU6CoCexPu9bNZWCfThErWm8976b5ZX3s7ebZPM/N/+95RYiaiNjYAAEIQAAC\nEIAABCAAAQi4mACixsXhUToEIAABCEAAAhBwG4HAD+xLGtLL9OuWOx+Ul1/7wO7ipNH9/Q+eL0nU\nLHj2Vbn7vp13wHRp11L69WhXJkSBoqb4gfUPriNm2LMqlSsV3+Rfd0LUROLkLyrGhXiImqeWvCYj\nxs2yK+navpX0ve6KiFWZu5jOvKinvd0Mk7Z80ST/vogaPwoWIAABCEAAAhCAAAQgAAEPEUDUeChM\nugIBCEAAAhCAAAS0EyiLqOnae4T/jpZnHhntf4B9SaLmvY++lOsH7Lw7xdz9Yu6CKctUXNSYB83/\n/Msf/rtEjm10mEy+d4BkZZUPe9pAUdOq+SkycnCPsPvF846aSJzCXng3GuMhagJzOf+ck+We23c+\nRyhcOavX/Cptug6yN5m7mmZPGuLfLVDU3DGgm7RudaZ/W+DCB598JdfdPNpu6nDpuXLLDVcGbpbz\nLu8r69ZvsNsY+iwIDSsQgAAEIAABCEAAAhCAgAMEEDUOQOeSEIAABCAAAQhAIFUJRCtqtm3Pl2aX\n9PILko+sB76XK5dpYytJ1Pz6+3pp1f5mez8zpNgzc0dLWlpa1LgDRY15xs34EX3k+x9/8T/3xpzI\nPDflvrv6SGZmRsh5v/pmtXTsMcxuL+lZLPESNSVxCiluNxviIWrW/rpOLuy483lB5s6kBTNGRqzm\njXc/kz633WdvLz583CMLlsq4yfPtbf17dZArL28R9jyImrBYaIQABCAAAQhAAAIQgAAElBJA1CgN\nhrIgAAEIQAACEICAFwlEK2oWLn5N7hq/c6gsc1fLYw8N9+MoSdQUFBTIcWdf5d93wsi+0vTUY/3r\nxRe25++QzIx0/8PkA0XN6KG95LxmJ9qHBH7wbxrM3TIjBnX3H+c7r7lLw9ytYaa9a9WUpQvuCyuK\nNm3OkTMu3HlXSSzPqCmJk6+mWOfxEDX5Fucmza/2lzJ38lBp1PAQ/3rgQs8BY+Tdj76wm/pd3066\nXNHSv3np8vdl4PDJ9volLc+QYbfsfM6Pf4ddC2+9v0JuGDjeXuOOmuJ0WIcABCAAAQhAAAIQgAAE\ntBFA1GhLhHogAAEIQAACEICAhwkEipprO10svbpdGtLbz75YJb1vHeu/mybw+TRm55JEjdk+afpC\nmf7oYrMo5mH0k0bf7B82zW7c9b9PPv9Who+dIXdbw5MdcXg9uzWSqDEbX1r+gdw6/MFdR4u0b9Nc\nbr2xk3/dLBQWFsqxzbr62x4YdZN9B46/wVp4+4P/yaiJc+WX3/60m0sTNbvLKfCasSzHQ9SY60+Z\n9bRMm/OMXYoZ0uyBUTeHPO9n2esfyoBhO59Jk10pS154fLxUq1rZX37g0HJm+yLrjqm99qzh375j\nR4E88cwrMmbSPH8bosaPggUIQAACEIAABCAAAQhAQCkBRI3SYCgLAhCAAAQgAAEIeJFAoKgx/TMf\n2J924tGy9141JTc3T778drUsWfq2v+tmmDEjOwKn0kSNGVbs4k63+J9BYo7t3vliOfzQumI+3P/J\neubMC8ve9T//5tEpw+TIBqWLGnOeBc+8KndPmGMW7alH19Zi/guc+g99QF558yN/U+crzpcD999H\nfrGGZXv/4y9l5ao1/m1moTRRY/bZHU7muHhM8RI1OTlb5cIrB8iGjZvssoxEM+xM/032b763QuYt\nfMlf8oDeHaXjZef5182CybZl+5v85zB3LbW5oKnsWbOafPPdT/Y5fM+e8R2IqPGRYA4BCEAAAhCA\nAAQgAAEIaCWAqNGaDHVBAAIQgAAEIAABDxIoLmpK6uKxjQ6T0UN7Sq2AOybM/qWJGrPPFyt/ECNM\nin9ob7YVn8oiasyx5q4Qc3eIbzJ31Zi7a3zTmrW/yyWdbvWthp2b4dx8wiYaURP2JLsaI3Eq6Ziy\nbIuXqDHX/HjFSvv5MzmWmClpMs+muf3mq6T8rucSBe675KW3Zcg9DwU2hSwbCeS7YwlRE4KHBghA\nAAIQgAAEIAABCEBAGQFEjbJAKAcCEIAABCAAAQh4mUCgqDF3iWRmZtof3gf2uWaNqtKudXPp1vEC\nycjICNxkL2/8Z7OcdUkve/n4xg1k+oRBIfuYBnP3hRkC7bGnX/YPoxa445mnHCOXXniWnHrCUf7r\nzJi3RB54+El7t7HDb5BzzmgSeIh/edTER+TxRcv868WHZzOiaNCIKX5Z4NvR3NFzc88O0vKcU+Sk\nFjufr1L/4DqyYMZI3y72PB6cgk4Yw8r6vzZK88v62Gc4pclRMnnMgIhna9a6t323i+nnOy+Elyl/\nb/xXho+ZKW+8+1nIecxxQ/pfLS2anRSyLbDhuZffkXusO5uKC596dWvL4H5dpKioSK7pe499SKe2\nLWzmgcdf0KG/P5tPl8+xnjWUFriZZQhAAAIQgAAEIAABCEAAAkklgKhJKm4uBgEIQAACEIAABFKb\nQKCA6H3NZXLNlRfJps058sefG6z5FnuIsOJ30MSDmBlu6+df11kf7G+V/fbeU/a1/svKKh+PU0c8\nh3leirm75udf1tki4NB6dWS/ffaUtLTSpYBTnCJ2JgEbjEj78effbGFSsWKWHFpvfzFDmUU7GUnz\n40+/ye/r/pLK2f9v7w5xq4jCKACPKykhgRV0BwgEBgS2BokrBouoZwW4plvoAqrwIKghwZA0qWId\nRVGqm5dp7qPnzZxPv3n3v/935Elm9m9ebXcwPXv6ZO7fPUeAAAECBAgQIECAAIGdEVDU7EwULkKA\nAAECBAgQWL/AXQXE+re+/4ac7m/mHwQIECBAgAABAgQIEFiqgKJmqcm5NwECBAgQIEBggQIKiHmh\njTh9Pj2bLn78mjdow1Pv3x3evhpuwyN+IkCAAAECBAgQIECAAIEtCChqtoDoCAIECBAgQIAAgXkC\nIwXEvAnreGrE6fjTyfT1+89hiI8fbl5Nd/R2+BwHECBAgAABAgQIECBAgMBmAUXNZh+/EiBAgAAB\nAgQIbFFgpIDY4jV2/qgRp3/fbrm+/jO84+P9R9Pe3v/9js/wJR1AgAABAgQIECBAgACBFQgoalYQ\nohUIECBAgAABAksRuLz6PZ1/+XZ73TevX0yvXj5fytUf9J6cHpTbMAIECBAgQIAAAQIECEQFFDVR\nfsMJECBAgAABAgQIECBAgAABAgQIECBAgACBZgFFTXP6didAgAABAgQIECBAgAABAgQIECBAgAAB\nAgSiAoqaKL/hBAgQIECAAAECBAgQIECAAAECBAgQIECAQLOAoqY5fbsTIECAAAECBAgQIECAAAEC\nBAgQIECAAAECUQFFTZTfcAIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBZQFHTnL7dCRAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAgaiAoibKbzgBAgQIECBAgAABAgQIECBAgAABAgQIECDQLKCoaU7f7gQI\nECBAgAABAgQIECBAgAABAgQIECBAgEBUQFET5TecAAECBAgQIECAAAECBAgQIECAAAECBAgQaBZQ\n1DSnb3cCBAgQIECAAAECBAgQIECAAAECBAgQIEAgKqCoifIbToAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECDQLKGqa07c7AQIECBAgQIAAAQIECBAgQIAAAQIECBAgEBVQ1ET5DSdAgAABAgQIECBAgAAB\nAgQIECBAgAABAgSaBRQ1zenbnQABAgQIECBAgAABAgQIECBAgAABAgQIEIgKKGqi/IYTIECAAAEC\nBAgQIECAAAECBAgQIECAAAECzQKKmub07U6AAAECBAgQIECAAAECBAgQIECAAAECBAhEBRQ1UX7D\nCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgWYBRU1z+nYnQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nogKKmii/4QQIECBAgAABAgQIECBAgAABAgQIECBAgECzgKKmOX27EyBAgAABAgQIECBAgAABAgQI\nECBAgAABAlEBRU2U33ACBAgQIECAAAECBAgQIECAAAECBAgQIECgWUBR05y+3QkQIECAAAECBAgQ\nIECAAAECBAgQIECAAIGogKImym84AQIECBAgQIAAAQIECBAgQIAAAQIECBAg0CygqGlO3+4ECBAg\nQIAAAQIECBAgQIAAAQIECBAgQIBAVEBRE+U3nAABAgQIECBAgAABAgQIECBAgAABAgQIEGgWUNQ0\np293AgQIECBAgAABAgQIECBAgAABAgQIECBAICqgqInyG06AAAECBAgQIECAAAECBAgQIECAAAEC\nBAg0CyhqmtO3OwECBAgQIECAAAECBAgQIECAAAECBAgQIBAVUNRE+Q0nQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIEmgUUNc3p250AAQIECBAgQIAAAQIECBAgQIAAAQIECBCICihqovyGEyBAgAABAgQI\nECBAgAABAgQIECBAgAABAs0Ciprm9O1OgAABAgQIECBAgAABAgQIECBAgAABAgQIRAUUNVF+wwkQ\nIECAAAECBAgQIECAAAECBAgQIECAAIFmAUVNc/p2J0CAAAECBAgQIECAAAECBAgQIECAAAECBKIC\nipoov+EECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAs4Cipjl9uxMgQIAAAQIECBAgQIAAAQIECBAg\nQIAAAQJRAUVNlN9wAgQIECBAgAABAgQIECBAgAABAgQIECBAoFngL7UPHL0VR0YIAAAAAElFTkSu\nQmCC\n"
}
},
"id": "8918cc6a-cb31-49b9-9c56-b9db53cca497"
}
],
"nbformat": 4,
"nbformat_minor": 5,
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3 (ipykernel)",
"language": "python"
},
"language_info": {
"name": "python",
"codemirror_mode": {
"name": "ipython",
"version": "3"
},
"file_extension": ".py",
"mimetype": "text/x-python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
}
}
}