data/notebooks/Lab/1_biodiversity_indicator.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "3649ad43",
"metadata": {},
"source": [
"## Biodiversity composition change loss due to land use change\n",
"We propose the estimation of biodiversity loss due to land use change which will consist in estimateing the regional species loss,displacement or reduction of species that would otherwise exist in the land if it wouldn't be used for production of a certain commodity as well as the relative abundance within the ecoregion due to land use change.\n",
"\n",
" Biodiversity loss due to land use change (PDF / year) = = area with tree cover loss and land use change (hectares) * taxa-aggregated characterization factors for Regional Potential Species Loss (PSL) (PDF / year * m2) * (1/ 0.0001) (conversion units) * probability purchase area (unitless) \n",
"\n",
"Where:\n",
"\n",
"- Area with tree cover loss and land use change (m2) would e the area of tree cover loss detected for different years using GFW/ sateligence data and where a land use change from either forest to arable or forest to grassland has taken place. This area will be detected using Hansen data following the approach highlighted here.\n",
"- Taxa-aggregated characterization factors for Regional Potential Species Loss (PSL) (PDF / year * m2)\n",
"- The multiplication by 10000 gets hectares and the division by 0.0001 converts m2 to hectares\n",
"- Probability purchase area is the potential area where a certain commodity has been purchased from. The calculation of this probability purchase area would be done following the workflow highlighted here.\n",
"\n",
"## Land use productivity\n",
"\n",
"In order to track the land use expansion and land productivity, we propose the two formulas below:\n",
"\n",
" Land use (ha * year) = (Area fraction * Volume (Tonnes)) / (Total Area fraction * yield (Tonnes / hectare)\n",
" \n",
"Where:\n",
"- The land use area would be a purchased area for a certain commodity per a certain year. The calculation would be the same as the one described here.\n",
"- Area fraction would be the area used for a specific commodity in a h3 grid. This information would be obtained from EarthStat.\n",
"- Total Area Fraction would be the sum of all the area fraction from EarthStat in the supply shed. \n",
"- Yield would be the tonnes produced in an hectare obtained from EarthStat.\n",
"- Volume would be the Total Volume purchased for a certain commodity by a specific year and location.\n",
"\n",
"\n",
"\n",
" Yield (Tonnes / ha * year) = Volume (Tonnes) / Land use (ha * year)\n",
" \n",
" Yield (Tonnes / ha * year) = (Total Area fraction * yield (Tonnes / hectare) / Area fraction \n",
"\n",
"Where:\n",
"\n",
"- Volume would be the Total Volume purchased for a certain commodity by a specific year and location.\n",
"- The land use area would be a purchased area for a certain commodity per a certain year. The calculation would be the same as the one described here.\n",
"\n",
"\n",
"## Table of Contents\n",
"- ### [1. Import libraries](#libraries)\n",
"- ### [2. Calculate biodiversity risk map](#risk_map)\n",
" - #### [2.1. import taxa aggregated characterisation factors](#taxa_cf)\n",
" - #### [2.2. Import ecoregions layer](#ecoregions)\n",
" - #### [2.3. Join ecoregions layer with the taxa caracterization factors by ecoregion](#join)\n",
" - #### [2.4. Generate raster for the taxa aggregated characterization factors by ecoregion.](#generate_rater) \n",
" - #### [2. 5. Generate the biodiversity risk map](#generate_risk)\n",
"- ### [3. Calculate biodiversity impact metric](#impact_metric)\n",
"- ### [4. Final notes](#finalNotes)"
]
},
{
"cell_type": "markdown",
"id": "f67ce313",
"metadata": {},
"source": [
"<a id='libraries'></a>\n",
"### 1. Import libraries"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "1ee5214b",
"metadata": {},
"outputs": [],
"source": [
"## import libraries\n",
"import geopandas as gpd\n",
"import pandas as pd\n",
"\n",
"import rasterio as rio\n",
"import rasterio.plot\n",
"import matplotlib.pyplot as plt\n",
"from rasterstats import zonal_stats\n",
"\n",
"import time"
]
},
{
"cell_type": "markdown",
"id": "024157a4",
"metadata": {},
"source": [
"<a id='risk_map'></a>\n",
"## 2. Calculate biodiversity risk map\n",
"\n",
"Before estimating the biodiversity impact due to land use change in a specific supply area we will need to determine the risk of biodiversity loss due to land use change. For determine this risk we will be following the formula below, which will be commodity dependent:\n",
"\n",
" Biodiversity loss due to land use change (PDF / year) = area with tree cover loss and land use change (hectares) * taxa-aggregated characterization factors for Regional Potential Species Loss (PSL) (PDF / year * m2) * (1/ 0.0001) (conversion units)\n",
" \n",
"where:\n",
"\n",
"- area with tree cover loss and land use change (hectares) which will be obtained from the deforestation risk map. This deforestation risk will be commodity dependent. \n",
"- taxa-aggregated characterization factors for Regional Potential Species Loss (PSL) derived from the LCIA characterization factors\n",
"- division from 0.0001 to convert from m2 to hectares \n",
"\n",
"Note: Potentially Disappeared Species (PDS)"
]
},
{
"cell_type": "markdown",
"id": "a43a82b7",
"metadata": {},
"source": [
"<a id='taxa_cf'></a>\n",
"### 2.1. import taxa aggregated characterisation factors\n",
"\n",
"The characetrization factors have been obtained from the following link: https://www.lifecycleinitiative.org/applying-lca/lcia-cf/\n",
"\n",
"This characterization factors have been also saved on the share drive. For the biodiversity risk map we will be using the Regional Potential Species Loss due to land use change at ecoregion level.\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "1ffea0fd",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>eco_code</th>\n",
" <th>Median</th>\n",
" <th>lower 95%</th>\n",
" <th>upper 95%</th>\n",
" <th>Median.1</th>\n",
" <th>lower 95%.1</th>\n",
" <th>upper 95%.1</th>\n",
" <th>Median.2</th>\n",
" <th>lower 95%.2</th>\n",
" <th>upper 95%.2</th>\n",
" <th>Median.3</th>\n",
" <th>lower 95%.3</th>\n",
" <th>upper 95%.3</th>\n",
" <th>Median.4</th>\n",
" <th>lower 95%.4</th>\n",
" <th>upper 95%.4</th>\n",
" <th>Median.5</th>\n",
" <th>lower 95%.5</th>\n",
" <th>upper 95%.5</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>World average</td>\n",
" <td>2.880992e-12</td>\n",
" <td>-4.658128e-13</td>\n",
" <td>7.776529e-12</td>\n",
" <td>2.312977e-12</td>\n",
" <td>-1.304287e-12</td>\n",
" <td>8.469779e-12</td>\n",
" <td>1.875973e-12</td>\n",
" <td>-1.600759e-12</td>\n",
" <td>8.391349e-12</td>\n",
" <td>4.430366e-12</td>\n",
" <td>6.457714e-14</td>\n",
" <td>9.039383e-12</td>\n",
" <td>6.079169e-13</td>\n",
" <td>-9.405671e-13</td>\n",
" <td>4.497921e-12</td>\n",
" <td>1.478220e-12</td>\n",
" <td>-1.604768e-12</td>\n",
" <td>7.346928e-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>3.504606e-11</td>\n",
" <td>-1.673912e-11</td>\n",
" <td>1.546130e-10</td>\n",
" <td>2.438062e-11</td>\n",
" <td>-2.792929e-11</td>\n",
" <td>1.337088e-10</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.430631e-11</td>\n",
" <td>-7.042386e-13</td>\n",
" <td>8.071432e-11</td>\n",
" <td>3.027136e-11</td>\n",
" <td>-1.907786e-11</td>\n",
" <td>1.419584e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>AA0102</td>\n",
" <td>2.664063e-11</td>\n",
" <td>-9.488066e-13</td>\n",
" <td>7.426592e-11</td>\n",
" <td>2.390119e-11</td>\n",
" <td>-3.142746e-12</td>\n",
" <td>7.106328e-11</td>\n",
" <td>1.220219e-11</td>\n",
" <td>-2.413976e-11</td>\n",
" <td>6.924044e-11</td>\n",
" <td>3.801648e-11</td>\n",
" <td>2.257569e-12</td>\n",
" <td>8.972848e-11</td>\n",
" <td>5.158636e-12</td>\n",
" <td>-2.444711e-12</td>\n",
" <td>3.797641e-11</td>\n",
" <td>1.854157e-11</td>\n",
" <td>-8.772367e-12</td>\n",
" <td>7.009282e-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>AA0103</td>\n",
" <td>4.682694e-11</td>\n",
" <td>-6.886077e-12</td>\n",
" <td>1.544679e-10</td>\n",
" <td>3.522323e-11</td>\n",
" <td>-1.902498e-11</td>\n",
" <td>1.463752e-10</td>\n",
" <td>1.899118e-11</td>\n",
" <td>-5.536463e-11</td>\n",
" <td>1.328678e-10</td>\n",
" <td>6.769960e-11</td>\n",
" <td>0.000000e+00</td>\n",
" <td>1.596704e-10</td>\n",
" <td>1.375353e-11</td>\n",
" <td>-9.773335e-13</td>\n",
" <td>7.622320e-11</td>\n",
" <td>2.925349e-11</td>\n",
" <td>-1.895998e-11</td>\n",
" <td>1.311491e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>AA0104</td>\n",
" <td>1.622572e-11</td>\n",
" <td>-1.186395e-12</td>\n",
" <td>4.908715e-11</td>\n",
" <td>1.368277e-11</td>\n",
" <td>-4.649506e-12</td>\n",
" <td>4.801403e-11</td>\n",
" <td>7.269697e-12</td>\n",
" <td>-1.919075e-11</td>\n",
" <td>4.605131e-11</td>\n",
" <td>2.437949e-11</td>\n",
" <td>0.000000e+00</td>\n",
" <td>5.667906e-11</td>\n",
" <td>3.979111e-12</td>\n",
" <td>-3.025170e-13</td>\n",
" <td>2.479203e-11</td>\n",
" <td>1.168076e-11</td>\n",
" <td>-5.450018e-12</td>\n",
" <td>4.411466e-11</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" eco_code Median lower 95% upper 95% Median.1 \\\n",
"0 World average 2.880992e-12 -4.658128e-13 7.776529e-12 2.312977e-12 \n",
"1 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 3.504606e-11 \n",
"2 AA0102 2.664063e-11 -9.488066e-13 7.426592e-11 2.390119e-11 \n",
"3 AA0103 4.682694e-11 -6.886077e-12 1.544679e-10 3.522323e-11 \n",
"4 AA0104 1.622572e-11 -1.186395e-12 4.908715e-11 1.368277e-11 \n",
"\n",
" lower 95%.1 upper 95%.1 Median.2 lower 95%.2 upper 95%.2 \\\n",
"0 -1.304287e-12 8.469779e-12 1.875973e-12 -1.600759e-12 8.391349e-12 \n",
"1 -1.673912e-11 1.546130e-10 2.438062e-11 -2.792929e-11 1.337088e-10 \n",
"2 -3.142746e-12 7.106328e-11 1.220219e-11 -2.413976e-11 6.924044e-11 \n",
"3 -1.902498e-11 1.463752e-10 1.899118e-11 -5.536463e-11 1.328678e-10 \n",
"4 -4.649506e-12 4.801403e-11 7.269697e-12 -1.919075e-11 4.605131e-11 \n",
"\n",
" Median.3 lower 95%.3 upper 95%.3 Median.4 lower 95%.4 \\\n",
"0 4.430366e-12 6.457714e-14 9.039383e-12 6.079169e-13 -9.405671e-13 \n",
"1 NaN NaN NaN 1.430631e-11 -7.042386e-13 \n",
"2 3.801648e-11 2.257569e-12 8.972848e-11 5.158636e-12 -2.444711e-12 \n",
"3 6.769960e-11 0.000000e+00 1.596704e-10 1.375353e-11 -9.773335e-13 \n",
"4 2.437949e-11 0.000000e+00 5.667906e-11 3.979111e-12 -3.025170e-13 \n",
"\n",
" upper 95%.4 Median.5 lower 95%.5 upper 95%.5 \n",
"0 4.497921e-12 1.478220e-12 -1.604768e-12 7.346928e-12 \n",
"1 8.071432e-11 3.027136e-11 -1.907786e-11 1.419584e-10 \n",
"2 3.797641e-11 1.854157e-11 -8.772367e-12 7.009282e-11 \n",
"3 7.622320e-11 2.925349e-11 -1.895998e-11 1.311491e-10 \n",
"4 2.479203e-11 1.168076e-11 -5.450018e-12 4.411466e-11 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_excel(r'../../datasets/raw/biodiversity_indicators/Ch6 PSLregional v01.xlsx', sheet_name='Transformation_Ecoregion', header=[3])\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "2c86e0f0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>eco_code</th>\n",
" <th>Median</th>\n",
" <th>lower 95%</th>\n",
" <th>upper 95%</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>World average</td>\n",
" <td>2.880992e-12</td>\n",
" <td>-4.658128e-13</td>\n",
" <td>7.776529e-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>AA0102</td>\n",
" <td>2.664063e-11</td>\n",
" <td>-9.488066e-13</td>\n",
" <td>7.426592e-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>AA0103</td>\n",
" <td>4.682694e-11</td>\n",
" <td>-6.886077e-12</td>\n",
" <td>1.544679e-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>AA0104</td>\n",
" <td>1.622572e-11</td>\n",
" <td>-1.186395e-12</td>\n",
" <td>4.908715e-11</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" eco_code Median lower 95% upper 95%\n",
"0 World average 2.880992e-12 -4.658128e-13 7.776529e-12\n",
"1 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10\n",
"2 AA0102 2.664063e-11 -9.488066e-13 7.426592e-11\n",
"3 AA0103 4.682694e-11 -6.886077e-12 1.544679e-10\n",
"4 AA0104 1.622572e-11 -1.186395e-12 4.908715e-11"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## select for the moment annual crops\n",
"pdf_annual_crops =df[['eco_code', 'Median', 'lower 95%', 'upper 95%']]\n",
"pdf_annual_crops.head()"
]
},
{
"cell_type": "markdown",
"id": "a03a930b",
"metadata": {},
"source": [
"<a id='ecoregions'></a>\n",
"### 2.2. Import ecoregions layer"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "d0775763",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>OBJECTID</th>\n",
" <th>AREA</th>\n",
" <th>PERIMETER</th>\n",
" <th>ECO_NAME</th>\n",
" <th>REALM</th>\n",
" <th>BIOME</th>\n",
" <th>ECO_NUM</th>\n",
" <th>ECO_ID</th>\n",
" <th>ECO_SYM</th>\n",
" <th>GBL_STAT</th>\n",
" <th>...</th>\n",
" <th>G200_BIOME</th>\n",
" <th>G200_STAT</th>\n",
" <th>Shape_Leng</th>\n",
" <th>Shape_Area</th>\n",
" <th>area_km2</th>\n",
" <th>eco_code</th>\n",
" <th>PER_area</th>\n",
" <th>PER_area_1</th>\n",
" <th>PER_area_2</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>29.802942</td>\n",
" <td>0.219</td>\n",
" <td>Northern Mesoamerican Pacific mangroves</td>\n",
" <td>NT</td>\n",
" <td>14.0</td>\n",
" <td>4.0</td>\n",
" <td>61404.0</td>\n",
" <td>119.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.219475</td>\n",
" <td>0.002769</td>\n",
" <td>8174</td>\n",
" <td>NT1404</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((-112.26972 29.32648, -112.28809 29.3...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>11.977824</td>\n",
" <td>0.193</td>\n",
" <td>Northern Mesoamerican Pacific mangroves</td>\n",
" <td>NT</td>\n",
" <td>14.0</td>\n",
" <td>4.0</td>\n",
" <td>61404.0</td>\n",
" <td>119.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.193289</td>\n",
" <td>0.001111</td>\n",
" <td>8174</td>\n",
" <td>NT1404</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((-112.19907 29.17528, -112.20740 29.1...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>77301.372760</td>\n",
" <td>111.954</td>\n",
" <td>Sinaloan dry forests</td>\n",
" <td>NT</td>\n",
" <td>2.0</td>\n",
" <td>28.0</td>\n",
" <td>60228.0</td>\n",
" <td>98.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>2.0</td>\n",
" <td>1.0</td>\n",
" <td>111.951414</td>\n",
" <td>6.879188</td>\n",
" <td>77362</td>\n",
" <td>NT0228</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((-109.11700 27.74142, -109.11228 27.7...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>215.489182</td>\n",
" <td>1.274</td>\n",
" <td>Northern Mesoamerican Pacific mangroves</td>\n",
" <td>NT</td>\n",
" <td>14.0</td>\n",
" <td>4.0</td>\n",
" <td>61404.0</td>\n",
" <td>119.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.273654</td>\n",
" <td>0.019701</td>\n",
" <td>8174</td>\n",
" <td>NT1404</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((-110.54179 27.38383, -110.54462 27.3...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>19.639089</td>\n",
" <td>0.363</td>\n",
" <td>Northern Mesoamerican Pacific mangroves</td>\n",
" <td>NT</td>\n",
" <td>14.0</td>\n",
" <td>4.0</td>\n",
" <td>61404.0</td>\n",
" <td>119.0</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.363068</td>\n",
" <td>0.001791</td>\n",
" <td>8174</td>\n",
" <td>NT1404</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((-110.52850 27.28641, -110.53336 27.2...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 22 columns</p>\n",
"</div>"
],
"text/plain": [
" OBJECTID AREA PERIMETER ECO_NAME \\\n",
"0 1 29.802942 0.219 Northern Mesoamerican Pacific mangroves \n",
"1 2 11.977824 0.193 Northern Mesoamerican Pacific mangroves \n",
"2 3 77301.372760 111.954 Sinaloan dry forests \n",
"3 4 215.489182 1.274 Northern Mesoamerican Pacific mangroves \n",
"4 5 19.639089 0.363 Northern Mesoamerican Pacific mangroves \n",
"\n",
" REALM BIOME ECO_NUM ECO_ID ECO_SYM GBL_STAT ... G200_BIOME \\\n",
"0 NT 14.0 4.0 61404.0 119.0 1.0 ... 0.0 \n",
"1 NT 14.0 4.0 61404.0 119.0 1.0 ... 0.0 \n",
"2 NT 2.0 28.0 60228.0 98.0 1.0 ... 2.0 \n",
"3 NT 14.0 4.0 61404.0 119.0 1.0 ... 0.0 \n",
"4 NT 14.0 4.0 61404.0 119.0 1.0 ... 0.0 \n",
"\n",
" G200_STAT Shape_Leng Shape_Area area_km2 eco_code PER_area PER_area_1 \\\n",
"0 0.0 0.219475 0.002769 8174 NT1404 0.0 0.0 \n",
"1 0.0 0.193289 0.001111 8174 NT1404 0.0 0.0 \n",
"2 1.0 111.951414 6.879188 77362 NT0228 0.0 0.0 \n",
"3 0.0 1.273654 0.019701 8174 NT1404 0.0 0.0 \n",
"4 0.0 0.363068 0.001791 8174 NT1404 0.0 0.0 \n",
"\n",
" PER_area_2 geometry \n",
"0 0.0 POLYGON ((-112.26972 29.32648, -112.28809 29.3... \n",
"1 0.0 POLYGON ((-112.19907 29.17528, -112.20740 29.1... \n",
"2 0.0 POLYGON ((-109.11700 27.74142, -109.11228 27.7... \n",
"3 0.0 POLYGON ((-110.54179 27.38383, -110.54462 27.3... \n",
"4 0.0 POLYGON ((-110.52850 27.28641, -110.53336 27.2... \n",
"\n",
"[5 rows x 22 columns]"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## import the ecoregions data\n",
"ecoregions = gpd.read_file('../../datasets/raw/biodiversity_indicators/official/wwf_terr_ecos.shp')\n",
"ecoregions.head()"
]
},
{
"cell_type": "markdown",
"id": "55f1bc81",
"metadata": {},
"source": [
"<a id='join'></a>\n",
"### 2.3. Join ecoregions layer with the taxa caracterization factors by ecoregion"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "28e10286",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>eco_code</th>\n",
" <th>Median</th>\n",
" <th>lower 95%</th>\n",
" <th>upper 95%</th>\n",
" <th>OBJECTID</th>\n",
" <th>AREA</th>\n",
" <th>PERIMETER</th>\n",
" <th>ECO_NAME</th>\n",
" <th>REALM</th>\n",
" <th>BIOME</th>\n",
" <th>...</th>\n",
" <th>G200_NUM</th>\n",
" <th>G200_BIOME</th>\n",
" <th>G200_STAT</th>\n",
" <th>Shape_Leng</th>\n",
" <th>Shape_Area</th>\n",
" <th>area_km2</th>\n",
" <th>PER_area</th>\n",
" <th>PER_area_1</th>\n",
" <th>PER_area_2</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>10900</td>\n",
" <td>16.678311</td>\n",
" <td>0.198</td>\n",
" <td>Admiralty Islands lowland rain forests</td>\n",
" <td>AA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.198109</td>\n",
" <td>0.001356</td>\n",
" <td>2099</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((147.59106 -2.09207, 147.57886 -2.090...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>11856</td>\n",
" <td>1874.284908</td>\n",
" <td>2.880</td>\n",
" <td>Admiralty Islands lowland rain forests</td>\n",
" <td>AA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>2.879881</td>\n",
" <td>0.152367</td>\n",
" <td>2099</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((146.81030 -1.96906, 146.81750 -1.964...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>11865</td>\n",
" <td>12.722658</td>\n",
" <td>0.155</td>\n",
" <td>Admiralty Islands lowland rain forests</td>\n",
" <td>AA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.155184</td>\n",
" <td>0.001034</td>\n",
" <td>2099</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((147.39548 -1.99151, 147.41811 -2.001...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>11932</td>\n",
" <td>12.841929</td>\n",
" <td>0.120</td>\n",
" <td>Admiralty Islands lowland rain forests</td>\n",
" <td>AA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.120138</td>\n",
" <td>0.001044</td>\n",
" <td>2099</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((147.27190 -2.54659, 147.28200 -2.541...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>AA0101</td>\n",
" <td>4.670750e-11</td>\n",
" <td>-5.492811e-12</td>\n",
" <td>1.676778e-10</td>\n",
" <td>11678</td>\n",
" <td>8.700576</td>\n",
" <td>0.134</td>\n",
" <td>Admiralty Islands lowland rain forests</td>\n",
" <td>AA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.134267</td>\n",
" <td>0.000707</td>\n",
" <td>2099</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>POLYGON ((144.20190 -1.40101, 144.19025 -1.399...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 25 columns</p>\n",
"</div>"
],
"text/plain": [
" eco_code Median lower 95% upper 95% OBJECTID AREA \\\n",
"0 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 10900 16.678311 \n",
"1 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 11856 1874.284908 \n",
"2 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 11865 12.722658 \n",
"3 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 11932 12.841929 \n",
"4 AA0101 4.670750e-11 -5.492811e-12 1.676778e-10 11678 8.700576 \n",
"\n",
" PERIMETER ECO_NAME REALM BIOME ... \\\n",
"0 0.198 Admiralty Islands lowland rain forests AA 1.0 ... \n",
"1 2.880 Admiralty Islands lowland rain forests AA 1.0 ... \n",
"2 0.155 Admiralty Islands lowland rain forests AA 1.0 ... \n",
"3 0.120 Admiralty Islands lowland rain forests AA 1.0 ... \n",
"4 0.134 Admiralty Islands lowland rain forests AA 1.0 ... \n",
"\n",
" G200_NUM G200_BIOME G200_STAT Shape_Leng Shape_Area area_km2 PER_area \\\n",
"0 0.0 0.0 0.0 0.198109 0.001356 2099 0.0 \n",
"1 0.0 0.0 0.0 2.879881 0.152367 2099 0.0 \n",
"2 0.0 0.0 0.0 0.155184 0.001034 2099 0.0 \n",
"3 0.0 0.0 0.0 0.120138 0.001044 2099 0.0 \n",
"4 0.0 0.0 0.0 0.134267 0.000707 2099 0.0 \n",
"\n",
" PER_area_1 PER_area_2 geometry \n",
"0 0.0 0.0 POLYGON ((147.59106 -2.09207, 147.57886 -2.090... \n",
"1 0.0 0.0 POLYGON ((146.81030 -1.96906, 146.81750 -1.964... \n",
"2 0.0 0.0 POLYGON ((147.39548 -1.99151, 147.41811 -2.001... \n",
"3 0.0 0.0 POLYGON ((147.27190 -2.54659, 147.28200 -2.541... \n",
"4 0.0 0.0 POLYGON ((144.20190 -1.40101, 144.19025 -1.399... \n",
"\n",
"[5 rows x 25 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ecoregions_PDF = pd.merge(\n",
" pdf_annual_crops,\n",
" ecoregions,\n",
" how= 'inner',\n",
" on='eco_code')\n",
"ecoregions_PDF.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "cf678362",
"metadata": {},
"outputs": [],
"source": [
"ecoregions_PDF = ecoregions_PDF.set_geometry('geometry')"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "a17e4672",
"metadata": {},
"outputs": [],
"source": [
"# export\n",
"ecoregions_PDF.to_file(\n",
" '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors.shp',\n",
" driver='ESRI Shapefile'\n",
")"
]
},
{
"cell_type": "markdown",
"id": "27280e22",
"metadata": {},
"source": [
"<a id='generate_raster'></a>\n",
"### 2.4. Generate raster for the taxa aggregated characterization factors by ecoregion.\n",
"\n",
"For doing the calculations at this point we want to rasterize the polygon into raster, using the same resolution as the other datasets used for the calculation of the biodiversity risk map. \n",
"\n",
"The resolution of the deforestation risk that we are going to use is 0.0002694944179760000078 (30m res) which will be produce a really heavy global dataset for working in local. In this case, I'm going to rasterize the polygon to the global resolution of the crops datasets which is 0.0833333333333286 (10km res) and we will ne to clip the data later for the area of interest and downsample that clip area to the highest resolution.\n",
"\n",
"NOTE: This process described above would be done just in the prototype for producing a more managable dataset. "
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "aa60942e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"!gdal_rasterize -l taxa_aggregated_characterization_factors -a Median -tr 0.0833333333333286 0.0833333333333286 -a_nodata 0.0 -te -180.0 -90.0 180.0 90.0 -ot Float32 -of GTiff '../../datasets/processed/taxa_aggregated_characterization_factors.shp' '../../datasets/processed/taxa_aggregated_characterization_factors_4326.tif'\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "487148e9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326.tif\n",
" ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326.tif.aux.xml\n",
"Size is 4320, 2160\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (-180.000000000000000,90.000000000000000)\n",
"Pixel Size = (0.083333333333329,-0.083333333333329)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (-180.0000000, 90.0000000) (180d 0' 0.00\"W, 90d 0' 0.00\"N)\n",
"Lower Left (-180.0000000, -90.0000000) (180d 0' 0.00\"W, 90d 0' 0.00\"S)\n",
"Upper Right ( 180.0000000, 90.0000000) (180d 0' 0.00\"E, 90d 0' 0.00\"N)\n",
"Lower Right ( 180.0000000, -90.0000000) (180d 0' 0.00\"E, 90d 0' 0.00\"S)\n",
"Center ( -0.0000000, 0.0000000) ( 0d 0' 0.00\"W, 0d 0' 0.00\"N)\n",
"Band 1 Block=4320x1 Type=Float32, ColorInterp=Gray\n",
" Min=0.000 Max=0.000 \n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
" 256 buckets from -8.08288e-13 to 4.27883e-10:\n",
" 800931 529968 184439 101130 71556 46277 32248 20725 13095 16628 6302 5089 5488 3124 2444 2508 4496 1654 1123 1667 2455 166 1914 1081 1038 287 953 11 850 383 383 345 88 0 270 0 249 270 0 279 6 145 198 26 94 143 184 137 131 0 0 0 10 63 0 0 0 201 10 36 0 0 89 60 29 0 0 0 55 0 26 0 40 0 0 32 0 0 0 0 0 16 0 0 0 0 0 57 0 0 12 48 38 0 0 15 0 0 33 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 8 0 48 48 0 0 0 0 0 0 0 0 0 26 0 0 0 0 0 0 0 0 0 0 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 \n",
" NoData Value=0\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=4.2704600966559e-10\n",
" STATISTICS_MEAN=2.9376220100729e-12\n",
" STATISTICS_MINIMUM=2.8999999152285e-14\n",
" STATISTICS_STDDEV=6.255799719857e-12\n",
" STATISTICS_VALID_PERCENT=19.98\n"
]
}
],
"source": [
"!gdalinfo -stats -hist '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326.tif'"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "4103b410",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#check calculated risk map\n",
"with rio.open('../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326.tif') as src:\n",
" dat = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" #ax.set_ylim((-5,40))\n",
" #ax.set_xlim((60,100))\n",
" rio.plot.show(dat, vmin=2.8999999152285e-14, vmax=2.9376220100729e-12, cmap='Blues', ax=ax, transform=src.transform)\n",
" #test_gdf.plot(ax=ax, alpha=0.5, color='Orange', edgecolor='yellow')\n",
" ax.set_title('Regional taxa aggregated characetrization factors by ecoregion (PDF/m2 *yr)')"
]
},
{
"cell_type": "markdown",
"id": "f16526d2",
"metadata": {},
"source": [
"<a id='generate_risk'></a>\n",
"### 2. 5. Generate the biodiversity risk map\n",
"\n",
"Now that we have the regional taxa aggregted characteriation factors rasterised for a global resolution we can calculate the biodiversity risk map due to land use chage. The formula would be:\n",
" \n",
" Biodiversity risk map (PDF / year ) = area with tree cover loss and land use change (hectares) * taxa-aggregated characterization factors for Regional Potential Species Loss (PSL) (PDF / year * m2) * (1/ 0.0001) (conversion units)\n",
"\n",
"\n",
"#### 4.1 Downsample the CF raster:\n",
"\n",
"Before intersecting the two rasters we need to downsample the taxa aggregated characterization factors to the lowest resolution, in this case the same as the deforestation risk which is 0.000269494417976 (30m resolution). "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3f055804",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4320, 2160\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#clip taxa aggregated characetrisation factors to deforestation extent \n",
"!gdal_translate -projwin 100.024523992 2.91915145 103.814423992 -1.12192855 -of GTiff '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326.tif' '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_clipped.tif'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b2591f7a",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14843L.\n",
"Processing ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_clipped.tif [1/1] : 0Using internal nodata values (e.g. 0) for image ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_clipped.tif.\n",
"Copying nodata values from source ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_clipped.tif to destination ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_30m.tif.\n",
"...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"# downsample the clipped data\n",
"!gdalwarp -s_srs EPSG:4326 -tr 0.000269494417976 0.000269494417976 -r near -of GTiff '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_clipped.tif' '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b51bcb4a",
"metadata": {},
"outputs": [],
"source": [
"taxa_cf_4326 = '../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_30m.tif'\n",
"deforestation_4326 = '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018.tif'"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "0be01243",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/biodiversity_indicators/taxa_aggregated_characterization_factors_4326_30m.tif\n",
"Size is 13915, 14843\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (99.999999999984084,3.000000000004945)\n",
"Pixel Size = (0.000269494417976,-0.000269494417976)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left ( 100.0000000, 3.0000000) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left ( 100.0000000, -1.0001056) (100d 0' 0.00\"E, 1d 0' 0.38\"S)\n",
"Upper Right ( 103.7500148, 3.0000000) (103d45' 0.05\"E, 3d 0' 0.00\"N)\n",
"Lower Right ( 103.7500148, -1.0001056) (103d45' 0.05\"E, 1d 0' 0.38\"S)\n",
"Center ( 101.8750074, 0.9999472) (101d52'30.03\"E, 0d59'59.81\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" NoData Value=0\n"
]
}
],
"source": [
"## check that the rater size is the same for both layers\n",
"!gdalinfo $taxa_cf_4326"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "a9713879",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018.tif\n",
"Size is 14063, 14995\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (100.024523992019894,2.919151450478214)\n",
"Pixel Size = (0.000269494417976,-0.000269495165055)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left ( 100.0245240, 2.9191515) (100d 1'28.29\"E, 2d55' 8.95\"N)\n",
"Lower Left ( 100.0245240, -1.1219285) (100d 1'28.29\"E, 1d 7'18.94\"S)\n",
"Upper Right ( 103.8144240, 2.9191515) (103d48'51.93\"E, 2d55' 8.95\"N)\n",
"Lower Right ( 103.8144240, -1.1219285) (103d48'51.93\"E, 1d 7'18.94\"S)\n",
"Center ( 101.9194740, 0.8986115) (101d55'10.11\"E, 0d53'55.00\"N)\n",
"Band 1 Block=14063x1 Type=Float32, ColorInterp=Gray\n"
]
}
],
"source": [
"## check that the rater size is the same for both layers\n",
"\n",
"!gdalinfo $deforestation_4326"
]
},
{
"cell_type": "markdown",
"id": "2097a0d0",
"metadata": {},
"source": [
"#### 4.2 Calculate the risk map"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "4a73f5bc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 14063, 14995\n",
"Warning 1: Computed -srcwin -91 -300 13915 14843 falls partially outside raster extent. Going on however.\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"!gdal_translate -projwin 100.0000000 3.0000000 103.7500148 -1.0001056 -of GTiff $deforestation_4326 '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif'"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "2497fe20",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"# calculate biodiversity risk\n",
"!gdal_calc.py -A $taxa_cf_4326 -B '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif' --outfile='../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif' --calc=\"A*B*(1/0.0001)\""
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "f9d6a645",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif\n",
"Size is 13915, 14843\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (99.999999999984084,3.000000000004945)\n",
"Pixel Size = (0.000269494417976,-0.000269494417976)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left ( 100.0000000, 3.0000000) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left ( 100.0000000, -1.0001056) (100d 0' 0.00\"E, 1d 0' 0.38\"S)\n",
"Upper Right ( 103.7500148, 3.0000000) (103d45' 0.05\"E, 3d 0' 0.00\"N)\n",
"Lower Right ( 103.7500148, -1.0001056) (103d45' 0.05\"E, 1d 0' 0.38\"S)\n",
"Center ( 101.8750074, 0.9999472) (101d52'30.03\"E, 0d59'59.81\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n",
" 256 buckets from -2.29109e-14 to 1.17075e-11:\n",
" 157268082 185264 201161 221604 149203 205018 122414 142060 152430 128016 112436 131324 57866 102198 90102 124724 151968 109941 148275 127827 51429 57236 53978 40932 75377 29594 42028 28142 9761 28601 27241 25325 39618 41715 5826 42831 4736 5545 15831 24038 14045 2167 6771 5714 14790 11086 19676 19917 5413 4092 197 0 950 4834 0 0 0 27076 0 7780 910 505 0 0 0 0 0 0 0 12 0 0 0 0 0 0 8234 0 0 0 0 0 0 4294 6459 0 0 3077 0 0 7570 0 0 0 0 0 5093 319 0 0 0 0 0 0 0 0 25781 12920 0 0 5810 8568 0 1733 0 0 0 0 0 3379 0 47 12307 0 0 0 4028 0 0 0 0 0 0 2 0 31221 1039 0 721 0 4603 0 0 853 0 0 0 0 1245 0 571 4499 6898 1765 22153 0 9691 0 1650 1432 2433 0 1341 5057 2751 0 1850 0 0 0 5458 0 0 0 0 1910 8736 0 11416 0 0 0 0 4827 0 0 3568 3715 513 436 908 4742 0 1381 0 1335 0 0 0 0 641 0 0 4761 2246 0 0 1093 0 2065 1178 0 0 2809 0 0 2175 3353 0 0 0 0 3033 0 0 2127 0 1496 0 0 0 0 0 0 0 0 0 0 7989 0 0 0 0 0 0 0 0 1948 0 0 0 0 0 0 0 45 \n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=1.1684577784499e-11\n",
" STATISTICS_MEAN=2.6220236795645e-14\n",
" STATISTICS_MINIMUM=0\n",
" STATISTICS_STDDEV=3.2171372912842e-13\n",
" STATISTICS_VALID_PERCENT=77.96\n"
]
}
],
"source": [
"!gdalinfo -stats -hist '../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif'"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "19470bf1",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#generate a cog with the biodiversity risk map\n",
"#check calculated risk map\n",
"with rio.open('../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif') as src:\n",
" dat = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" #ax.set_ylim((-5,40))\n",
" #ax.set_xlim((60,100))\n",
" rio.plot.show(dat, vmin=2.8999999152285e-14, vmax=1.1684577784499e-11, cmap='Oranges', ax=ax, transform=src.transform)\n",
" #test_gdf.plot(ax=ax, alpha=0.5, color='Orange', edgecolor='yellow')\n",
" ax.set_title('Biodiversity loss due to land use change risk map (PDF/yr)')\n",
" \n",
" # Dark red shows no data information\n",
" # Beige shows 0 risk"
]
},
{
"cell_type": "markdown",
"id": "ab5accbb",
"metadata": {},
"source": [
"<a id='impact_metric'></a>\n",
"## 3. Calculate biodiversity impact metric\n",
"\n",
"Once we have the biodiversity risk due to land use change we can extimate the impact that can have a certain suplier in an area:\n",
"\n",
" Biodiversity loss due to land use change (PDF / year) = biodiversity risk due to land use change (PDF/year) * probability purchase area (unitless) \n",
" \n",
"Therefore, the first step would be to compute this probability purchase area for a certain location. \n",
"\n",
"<a id='probability_area'></a>\n",
"### 3. 1 Generate purchase area probability map\n",
"\n",
"The formula (per pixel) is:\n",
"\n",
"f' = V/At * f/y\n",
"\n",
"V = Volume of commodity Purchased (const)\n",
"f = Area Fraction used to produce commodity (per pixel)\n",
"At = Total area used to produce ALL of the commodity (const)\n",
"where At = a*sum(f) i.e. integrated pixel area * f\n",
"a = pixel area\n",
"y = Commodity yield (per pixel)\n",
"\n",
"#### 3.1.1 Get user data for a location"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "adbbaab2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Material</th>\n",
" <th>Material d</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location t</th>\n",
" <th>Accuracy</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>2400</td>\n",
" <td>China</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Unknown</td>\n",
" <td>Low</td>\n",
" <td>MULTIPOLYGON (((73.49973 39.38174, 73.50468 39...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>1300</td>\n",
" <td>Malaysia</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Unknown</td>\n",
" <td>Low</td>\n",
" <td>MULTIPOLYGON (((98.93721 5.68384, 98.93771 5.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>1000</td>\n",
" <td>United States</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Unknown</td>\n",
" <td>Low</td>\n",
" <td>MULTIPOLYGON (((-180.00000 51.79409, -180.0000...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>730</td>\n",
" <td>Japan</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Unknown</td>\n",
" <td>Low</td>\n",
" <td>MULTIPOLYGON (((122.71418 24.44983, 122.71457 ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>490</td>\n",
" <td>India</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Unknown</td>\n",
" <td>Low</td>\n",
" <td>MULTIPOLYGON (((68.11138 23.60145, 68.13528 23...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Material Material d Volume Country Address Latitude Longitude \\\n",
"0 Rubber None 2400 China None None None \n",
"1 Rubber None 1300 Malaysia None None None \n",
"2 Rubber None 1000 United States None None None \n",
"3 Rubber None 730 Japan None None None \n",
"4 Rubber None 490 India None None None \n",
"\n",
" Location t Accuracy geometry \n",
"0 Unknown Low MULTIPOLYGON (((73.49973 39.38174, 73.50468 39... \n",
"1 Unknown Low MULTIPOLYGON (((98.93721 5.68384, 98.93771 5.6... \n",
"2 Unknown Low MULTIPOLYGON (((-180.00000 51.79409, -180.0000... \n",
"3 Unknown Low MULTIPOLYGON (((122.71418 24.44983, 122.71457 ... \n",
"4 Unknown Low MULTIPOLYGON (((68.11138 23.60145, 68.13528 23... "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#import test data and filter by commodity - cotton (as the deforestation risk is for cotton) and indonesia (as the sample data es for indonesia)\n",
"gdf = gpd.read_file('../../datasets/processed/user_data/located_lg_data_polygon_v2.shp')\n",
"gdf.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "300adb2e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Material</th>\n",
" <th>Material d</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location t</th>\n",
" <th>Accuracy</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>2600</td>\n",
" <td>Indonesia</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Origin country</td>\n",
" <td>Low</td>\n",
" <td>POLYGON ((94.77171 5.79699, 94.79259 5.88108, ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Material Material d Volume Country Address Latitude Longitude \\\n",
"6 Rubber None 2600 Indonesia None None None \n",
"\n",
" Location t Accuracy geometry \n",
"6 Origin country Low POLYGON ((94.77171 5.79699, 94.79259 5.88108, ... "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# lest assume that the risk map is for rubber - we will need to update this later on\n",
"gdf = gdf.loc[(gdf['Material']=='Rubber') & (gdf['Country']=='Indonesia')]\n",
"gdf"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "35d14027",
"metadata": {},
"outputs": [],
"source": [
"yield_rubber = '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare.tif'\n",
"harvest_portion_rubber = '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction.tif'"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "017d5186",
"metadata": {},
"outputs": [],
"source": [
"#save test location\n",
"gdf.to_file('../../datasets/raw/input_data_test/indonesia_test_shape.shp',\n",
" driver='ESRI Shapefile',)"
]
},
{
"cell_type": "markdown",
"id": "f4a4c72f",
"metadata": {},
"source": [
"#### 3.1.2 Generate raster with user volume"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "ed76032a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## generate a raster with same resolution as the yield and harvest portion\n",
"## with the user volume\n",
"!gdal_rasterize -l indonesia_test_shape -a Volume -tr 0.0833333333333286 0.0833333333333286 -a_nodata 0.0 -te -180.0 -90.0 180.0 90.0 -ot Float32 -of GTiff '../../datasets/raw/input_data_test/indonesia_test_shape.shp' '../../datasets/raw/input_data_test/indonesia_raster_volume.tif'"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "195d68a7",
"metadata": {},
"outputs": [],
"source": [
"\n",
"## add projection - same as the other ones for the calculations\n",
"!gdal_edit.py -a_srs EPSG:4326 '../../datasets/raw/input_data_test/indonesia_raster_volume.tif'"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "e8a0200f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4320, 2160\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## clip data to deforestation extent\n",
"#clip harvest area fraction to deforestation extent \n",
"!gdal_translate -projwin 100.024523992 2.91915145 103.814423992 -1.12192855 -of GTiff '../../datasets/raw/input_data_test/indonesia_raster_volume.tif' '../../datasets/raw/input_data_test/indonesia_raster_volume_4326_clipped.tif'"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "3dd254cc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14843L.\n",
"Processing ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_clipped.tif [1/1] : 0Using internal nodata values (e.g. 0) for image ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_clipped.tif.\n",
"Copying nodata values from source ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_clipped.tif to destination ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif.\n",
"...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## downsample to deforestation resolution\n",
"!gdalwarp -s_srs EPSG:4326 -tr 0.000269494417976 0.000269494417976 -r near -of GTiff '../../datasets/raw/input_data_test/indonesia_raster_volume_4326_clipped.tif' '../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif'\n"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "1d26f75a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14848L.\n",
"Processing ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif [1/1] : 0Using internal nodata values (e.g. 0) for image ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif.\n",
"Copying nodata values from source ../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif to destination ../../datasets/raw/input_data_test/indonesia_raster_volume_3857_30m.tif.\n",
"...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#reproject raster volume from epsg4326 to espg3857\n",
"!gdalwarp -s_srs EPSG:4326 -t_srs EPSG:3857 -tr 30 30 -r near -of GTiff '../../datasets/raw/input_data_test/indonesia_raster_volume_4326_30m.tif' '../../datasets/raw/input_data_test/indonesia_raster_volume_3857_30m.tif'"
]
},
{
"cell_type": "markdown",
"id": "065eacb2",
"metadata": {},
"source": [
"#### 3.1.3 Downsample harvest area fraction"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "80824124",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4320, 2160\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#clip harvest area fraction to deforestation extent \n",
"!gdal_translate -projwin 100.024523992 2.91915145 103.814423992 -1.12192855 -of GTiff $harvest_portion_rubber '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_clipped.tif'"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "212cb770",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14843L.\n",
"Processing ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_clipped.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## downsample harvest area fraction -as it's area independent we can downsample the values into smaller pixel sizes\n",
"# downsample the clipped data\n",
"!gdalwarp -s_srs EPSG:4326 -tr 0.000269494417976 0.000269494417976 -r near -of GTiff '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_clipped.tif' '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_30m.tif'\n"
]
},
{
"cell_type": "markdown",
"id": "6c9825d4",
"metadata": {},
"source": [
"#### 3.1.4 Compute total harvest area "
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "1592123c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14848L.\n",
"Processing ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_30m.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## reproject harvest area fraction\n",
"# reproject harvest area fraction\n",
"!gdalwarp -s_srs EPSG:4326 -t_srs EPSG:3857 -tr 30 30 -r near -of GTiff '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_4326_30m.tif' '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d2fbc3b0",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171401370316744)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
" TIFFTAG_SOFTWARE=MATLAB 8.0, Mapping Toolbox 3.6\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8bc25670",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"#generate raster with pixel area raster\n",
"# reclasifies the raster into 0 and pixel area being the pixel area just on thise locations with harvest area fraction\n",
"!gdal_calc.py -A '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif' --outfile='../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/pixel_area_rubber_raster_epsg3857.tif' --calc=\"(A > 0) * (30*30)\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "7d0492e5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"## calculate the raster equal to pixel_are * area fraction to get the total area within a loctaion with summary statistics\n",
"!gdal_calc.py -A '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/pixel_area_rubber_raster_epsg3857.tif' -B '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif' --outfile='../../datasets/raw/probability_map/area_total_rubber_raster_epsg3857.tif' --calc=\"(A * B)\""
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "aa5b2aae",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"projection of user data is: EPSG:4326\n"
]
}
],
"source": [
"gdf = gdf.set_crs(\"EPSG:4326\")\n",
"print(f'projection of user data is: {gdf.crs}')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "97858ee8",
"metadata": {},
"outputs": [],
"source": [
"#reproject the gdf to epsg3857 for the zonal statistics\n",
"#reproject to epsg3857\n",
"gdf = gdf.to_crs(\"EPSG:3857\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "634139e8",
"metadata": {},
"outputs": [],
"source": [
"gdf.to_file('../../datasets/processed/user_data/indonesia_test_3857.shp')"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "10515b5f",
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-28-995f772177cd>, line 2)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-28-995f772177cd>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m ogr2ogr -spat 11131949.0793 334111.1714 11549399.0793 -111328.8286 -clipsrc spat_extent '../../datasets/processed/user_data/indonesia_test_3857' '../../datasets/processed/user_data/indonesia_test_3857.shp' indonesia_test_3857\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
"source": [
"#clip gdf by raster extent\n",
"ogr2ogr -spat 11131949.0793 334111.1714 11549399.0793 -111328.8286 -clipsrc spat_extent '../../datasets/processed/user_data/indonesia_test_3857' '../../datasets/processed/user_data/indonesia_test_3857.shp' indonesia_test_3857"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "31d48694",
"metadata": {},
"outputs": [],
"source": [
"!ogr2ogr -spat 11131949.0793 334111.1714 11549399.0793 -111328.8286 -clipsrc spat_extent ../../datasets/processed/user_data/indonesia_test_3857_clip.gpkg ../../datasets/processed/user_data/indonesia_test_3857.shp indonesia_test_3857 -f \"GPKG\""
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "0748a000",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fid</th>\n",
" <th>Material</th>\n",
" <th>Material d</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location t</th>\n",
" <th>Accuracy</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>2600.0</td>\n",
" <td>Indonesia</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Origin country</td>\n",
" <td>Low</td>\n",
" <td>POLYGON ((11206146.856 334111.171, 11237288.10...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fid Material Material d Volume Country Address Latitude Longitude \\\n",
"0 1.0 Rubber None 2600.0 Indonesia None None None \n",
"\n",
" Location t Accuracy geometry \n",
"0 Origin country Low POLYGON ((11206146.856 334111.171, 11237288.10... "
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf = gpd.read_file('../../datasets/raw/input_data_test/indonesia_test_shape_clip.shp')\n",
"gdf"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "fbd59335",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--- 5.0787129402160645 seconds ---\n"
]
}
],
"source": [
"#zonal stats in india to get the sum of all fraction harvest area\n",
"total_harves_area_rubber = '../../datasets/raw/probability_map/area_total_rubber_raster_epsg3857.tif'\n",
"start_time = time.time()\n",
"zs_indonesia_test = zonal_stats(\n",
" gdf,\n",
" total_harves_area_rubber,\n",
" stats=\"sum\")\n",
"print(\"--- %s seconds ---\" % (time.time() - start_time))"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "1597162e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" The total rubber harvest area in indonessua is : {1871586176.0} m2\n"
]
}
],
"source": [
"print(f' The total rubber harvest area in indonessua is :', {zs_indonesia_test[0]['sum']}, 'm2')"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "80824c56",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>fid</th>\n",
" <th>Material</th>\n",
" <th>Material d</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location t</th>\n",
" <th>Accuracy</th>\n",
" <th>geometry</th>\n",
" <th>Total_af</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>Rubber</td>\n",
" <td>None</td>\n",
" <td>2600.0</td>\n",
" <td>Indonesia</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Origin country</td>\n",
" <td>Low</td>\n",
" <td>POLYGON ((11206146.856 334111.171, 11237288.10...</td>\n",
" <td>1.871586e+09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fid Material Material d Volume Country Address Latitude Longitude \\\n",
"0 1.0 Rubber None 2600.0 Indonesia None None None \n",
"\n",
" Location t Accuracy geometry \\\n",
"0 Origin country Low POLYGON ((11206146.856 334111.171, 11237288.10... \n",
"\n",
" Total_af \n",
"0 1.871586e+09 "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## ad field to gdf\n",
"gdf['Total_af'] = zs_indonesia_test[0]['sum']\n",
"gdf"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "93e69447",
"metadata": {},
"outputs": [],
"source": [
"gdf.to_file('../../datasets/processed/user_data/indonesia_test_3857.shp')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "1bf0f1b4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## generate a raster with same extent as the other ones with this total area fraction value\n",
"!gdal_rasterize -l indonesia_test_3857 -a Total_af -tr 30 30 -a_nodata 0.0 -ot Float32 -of GTiff '../../datasets/processed/user_data/indonesia_test_3857.shp' '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af.tif'\n"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "c986f5fc",
"metadata": {},
"outputs": [],
"source": [
"## add projection - same as the other ones for the calculations\n",
"!gdal_edit.py -a_srs EPSG:3857 '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af.tif'"
]
},
{
"cell_type": "markdown",
"id": "b8a23065",
"metadata": {},
"source": [
"#### 3.1.5 Downsample yield\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "f25815e9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4320, 2160\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#clip harvest area fraction to deforestation extent \n",
"!gdal_translate -projwin 100.024523992 2.91915145 103.814423992 -1.12192855 -of GTiff '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare.tif' '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_clipped.tif'"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "495adce5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14843L.\n",
"Processing ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_clipped.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## downsample harvest area fraction -as it's area independent we can downsample the values into smaller pixel sizes\n",
"# downsample the clipped data\n",
"!gdalwarp -s_srs EPSG:4326 -tr 0.000269494417976 0.000269494417976 -r near -of GTiff '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_clipped.tif' '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_30m.tif'\n"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "2338b091",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14848L.\n",
"Processing ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_30m.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#reproject yield from epsg4326 to epsg3857\n",
"#reproject raster volume from epsg4326 to espg3857\n",
"!gdalwarp -s_srs EPSG:4326 -t_srs EPSG:3857 -tr 30 30 -r near -of GTiff '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_4326_30m.tif' '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_3857_30m.tif'"
]
},
{
"cell_type": "markdown",
"id": "2ae76de9",
"metadata": {},
"source": [
"#### 3.1.6 Calculate probability map\n",
"T\n",
"he formula would be:\n",
"\n",
"f' = (V * Af) / (AT * Yield)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "31c574df",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/raw/input_data_test/indonesia_raster_volume_3857_30m.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171402510837652)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" NoData Value=0\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/raw/input_data_test/indonesia_raster_volume_3857_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "a5a3a222",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171401370316744)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
" TIFFTAG_SOFTWARE=MATLAB 8.0, Mapping Toolbox 3.6\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "27a29e70",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/raw/probability_map/indonesia_rubber_raster_total_af.tif\n",
"Size is 13916, 14849\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131934.079299999400973,334126.171399999991991)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131934.079, 334126.171) ( 99d59'59.51\"E, 3d 0' 0.48\"N)\n",
"Lower Left (11131934.079, -111343.829) ( 99d59'59.51\"E, 1d 0' 0.60\"S)\n",
"Upper Right (11549414.079, 334126.171) (103d45' 0.55\"E, 3d 0' 0.48\"N)\n",
"Lower Right (11549414.079, -111343.829) (103d45' 0.55\"E, 1d 0' 0.60\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13916x1 Type=Float32, ColorInterp=Gray\n",
" NoData Value=0\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af.tif'"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "79aa676b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 13916, 14849\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#fix extent od total area fraction raster\n",
"!gdal_translate -projwin 11131949.079 334111.171 11549399.079 -111328.829 -of GTiff '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af.tif' '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af_new_extent.tif'\n"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "3ae90f19",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/raw/probability_map/indonesia_rubber_raster_total_af_new_extent.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131934.079299999400973,334126.171399999991991)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131934.079, 334126.171) ( 99d59'59.51\"E, 3d 0' 0.48\"N)\n",
"Lower Left (11131934.079, -111313.829) ( 99d59'59.51\"E, 0d59'59.63\"S)\n",
"Upper Right (11549384.079, 334126.171) (103d44'59.58\"E, 3d 0' 0.48\"N)\n",
"Lower Right (11549384.079, -111313.829) (103d44'59.58\"E, 0d59'59.63\"S)\n",
"Center (11340659.079, 111406.171) (101d52'29.55\"E, 1d 0' 2.62\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" NoData Value=0\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af_new_extent.tif'"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "01711c5c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<string>:1: RuntimeWarning: invalid value encountered in true_divide\n",
"<string>:1: RuntimeWarning: divide by zero encountered in true_divide\n",
"/opt/conda/lib/python3.8/site-packages/osgeo/utils/gdal_calc.py:367: RuntimeWarning: invalid value encountered in multiply\n",
" myResult = ((1 * (myNDVs == 0)) * myResult) + (myOutNDV * myNDVs)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"#generate raster with pixel area raster\n",
"# reclasifies the raster into 0 and pixel area being the pixel area just on thise locations with harvest area fraction\n",
"!gdal_calc.py -A '../../datasets/raw/input_data_test/indonesia_raster_volume_3857_30m.tif' -B '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_HarvestedAreaFraction_3857_30m.tif' -C '../../datasets/raw/probability_map/indonesia_rubber_raster_total_af_new_extent.tif' -D '../../datasets/raw/crop_data/rubber_HarvAreaYield_Geotiff/rubber_YieldPerHectare_3857_30m.tif' --outfile='../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif' --calc=\"(A*B)/(C*D)\""
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "3a3bbeec",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171402510837652)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n",
" 256 buckets from -9.8721e-11 to 8.96194e-08:\n",
" 668985 1719894 1147937 574432 765703 478023 956355 957283 765084 1147319 669604 765084 286752 765393 574123 286752 191271 765394 764776 477405 478333 860256 764775 190962 286442 478641 1147009 1244346 478333 478023 382542 1052455 956665 1147317 860873 766012 1242799 1816922 1339206 956047 1051836 860876 477714 1051836 1147627 861184 956974 668367 573814 383160 478333 860875 382233 382853 670223 478333 477714 477714 669603 574123 573813 765084 573504 860256 573195 382233 287371 573504 478023 287061 574431 765703 764466 478642 573504 573195 668985 287061 573504 764775 190962 764773 860564 765394 382542 956046 669604 477096 859638 381615 669912 574742 669294 382542 1052454 668986 669294 478023 573813 573504 1147936 860256 668675 383470 573814 574122 668676 668985 286752 381924 668676 95481 478023 668984 765393 478023 479261 478332 478023 477714 286443 1050909 191271 860566 765393 382542 1147317 668367 191581 862113 669602 573503 287061 763539 861804 955428 764465 478333 669603 956665 860875 764775 669913 381924 956047 956047 860256 574122 286134 669913 478023 1147627 1052146 383160 573813 1147009 190962 382851 764776 574123 575052 573504 1051836 573504 764466 573813 574741 765704 668676 382233 477714 478023 191271 191271 95481 383162 382233 382233 478023 191890 287061 95481 286443 286443 286752 382541 382542 191271 382233 286752 95790 191271 286752 0 0 381924 286443 0 95481 382542 95481 286443 286753 190962 0 95481 95481 286752 191271 191271 95481 0 191271 0 95481 0 0 0 0 0 191270 0 95481 95481 95481 0 95481 0 95790 0 96100 0 0 0 96100 0 191271 0 0 190962 0 0 95790 0 0 95790 95790 0 95481 0 0 0 0 0 0 190962 \n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=8.9444128548166e-08\n",
" STATISTICS_MEAN=3.2353862778438e-08\n",
" STATISTICS_MINIMUM=7.6509659718837e-11\n",
" STATISTICS_STDDEV=2.0550779738406e-08\n",
" STATISTICS_VALID_PERCENT=60.86\n"
]
}
],
"source": [
"!gdalinfo -stats -hist '../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif'"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "525830ad",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"with rio.open('../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif') as src:\n",
" image_array = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" ax.set_ylim((-111328.8286,334111.1714))\n",
" ax.set_xlim((1.113195e+07,1.154940e+07))\n",
" rio.plot.show(image_array, vmin=7.6509659718837e-11, vmax=3.2353862778438e-08, cmap='Oranges', ax=ax, transform=src.transform)\n",
" ax.set_title('Geospatial responsibility - indonesia test')"
]
},
{
"cell_type": "markdown",
"id": "4dcb2f06",
"metadata": {},
"source": [
"<a id='biodiversity_metric'></a>\n",
"### 3.2 Calculate biodiversity loss due to land use change in test location\n",
"\n",
" Biodiversity loss due to land use change (PDF / year) = biodiversity risk due to land use change (PDF/year) * probability purchase area (unitless) \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "03c7f554",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif\n",
" ../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif.aux.xml\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171402510837652)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Min=0.000 Max=0.000 \n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=8.9444128548166e-08\n",
" STATISTICS_MEAN=3.2353862778438e-08\n",
" STATISTICS_MINIMUM=7.6509659718837e-11\n",
" STATISTICS_STDDEV=2.0550779738406e-08\n",
" STATISTICS_VALID_PERCENT=60.86\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif' "
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "f32bae7a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif\n",
" ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif.aux.xml\n",
"Size is 13915, 14843\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (99.999999999984084,3.000000000004945)\n",
"Pixel Size = (0.000269494417976,-0.000269494417976)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left ( 100.0000000, 3.0000000) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left ( 100.0000000, -1.0001056) (100d 0' 0.00\"E, 1d 0' 0.38\"S)\n",
"Upper Right ( 103.7500148, 3.0000000) (103d45' 0.05\"E, 3d 0' 0.00\"N)\n",
"Lower Right ( 103.7500148, -1.0001056) (103d45' 0.05\"E, 1d 0' 0.38\"S)\n",
"Center ( 101.8750074, 0.9999472) (101d52'30.03\"E, 0d59'59.81\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Min=0.000 Max=0.000 \n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=1.1684577784499e-11\n",
" STATISTICS_MEAN=2.6220236795645e-14\n",
" STATISTICS_MINIMUM=0\n",
" STATISTICS_STDDEV=3.2171372912842e-13\n",
" STATISTICS_VALID_PERCENT=77.96\n"
]
}
],
"source": [
"!gdalinfo '../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif'"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "ff1c7249",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14848L.\n",
"Processing ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif [1/1] : 0Using internal nodata values (e.g. 3.40282e+38) for image ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif.\n",
"Copying nodata values from source ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif to destination ../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg3857_PDF.tif.\n",
"...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#reproject biodiversity risk map from epsg4326 to epsg3857\n",
"#reproject raster volume from epsg4326 to espg3857\n",
"!gdalwarp -s_srs EPSG:4326 -t_srs EPSG:3857 -tr 30 30 -r near -of GTiff '../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg4326_PDF.tif' '../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg3857_PDF.tif'"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "29717719",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"!gdal_calc.py -A '../../datasets/processed/biodiversity_indicators/biodiversity_risk_cotton_epsg3857_PDF.tif' -B '../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif' --outfile='../../datasets/processed/biodiversity_indicators/biodiversity_loss_dueTo_landusechange_3857_30m.tif' --calc=\"(A*B)\""
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "9c027602",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/biodiversity_indicators/biodiversity_loss_dueTo_landusechange_3857_30m.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171402510837652)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Minimum=0.000, Maximum=9922172226290966505414948028416.000, Mean=36318996466514830258801213440.000, StdDev=477816911426601493310988091392.000\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n",
" 256 buckets from -1.94552e+28 to 9.94163e+30:\n",
" 124215289 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95481 0 0 0 0 0 0 0 0 0 0 0 0 95790 0 0 0 0 0 0 0 0 0 95481 0 0 0 0 0 0 0 95790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95481 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 95481 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 96100 \n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=9.922172226291e+30\n",
" STATISTICS_MEAN=3.6318996466515e+28\n",
" STATISTICS_MINIMUM=0\n",
" STATISTICS_STDDEV=4.778169114266e+29\n",
" STATISTICS_VALID_PERCENT=60.58\n"
]
}
],
"source": [
"!gdalinfo -stats -hist '../../datasets/processed/biodiversity_indicators/biodiversity_loss_dueTo_landusechange_3857_30m.tif'"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "0273b4f4",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"with rio.open('../../datasets/processed/biodiversity_indicators/biodiversity_loss_dueTo_landusechange_3857_30m.tif') as src:\n",
" image_array = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" ax.set_ylim((-111328.8286,334111.1714))\n",
" ax.set_xlim((1.113195e+07,1.154940e+07))\n",
" rio.plot.show(image_array, vmin=0, vmax=3.6318996466515e+28, cmap='Oranges', ax=ax, transform=src.transform)\n",
" ax.set_title('BIodiversity impact - indonesia test')"
]
},
{
"cell_type": "markdown",
"id": "fb4ce293",
"metadata": {},
"source": [
"<a id='final_notes'></a>\n",
"## 4. Final notes"
]
},
{
"cell_type": "markdown",
"id": "8784565c",
"metadata": {},
"source": [
"- we dont need to downsample every single part of the probability area. We can just compute the probability area with the 10km resolution and donwsample teh final result."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ccfae5b2",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}