diff --git a/Teaching_CLEWs_Graphs.ipynb b/Teaching_CLEWs_Graphs.ipynb
deleted file mode 100644
index 3235503..0000000
--- a/Teaching_CLEWs_Graphs.ipynb
+++ /dev/null
@@ -1,502 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 282,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- " \n",
- " "
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "pd.set_option('mode.chained_assignment', None)\n",
- "import numpy as np\n",
- "from IPython.display import HTML\n",
- "import IPython.core.display as di\n",
- "import plotly as py\n",
- "#import cufflinks\n",
- "import plotly.offline as pyo\n",
- "from plotly.offline import plot, iplot, init_notebook_mode\n",
- "pyo.init_notebook_mode()\n",
- "#cufflinks.go_offline()\n",
- "#cufflinks.set_config_file(world_readable=True, theme='white')\n",
- "import os, sys\n",
- "import subprocess\n",
- "#from tkinter import filedialog\n",
- "#from tkinter import *\n",
- "from collections import defaultdict\n",
- "import zipfile\n",
- "from pathlib import Path\n",
- "from IPython.display import HTML\n",
- "import ipywidgets as widgets\n",
- "from IPython.display import display\n",
- "import matplotlib.pyplot as plt\n",
- "import matplotlib.gridspec as gridspec\n",
- "from ipywidgets import interact, interactive, fixed, interact_manual\n",
- "import psutil\n",
- "import pickle\n",
- "import plotly.graph_objs as go\n",
- "import plotly.io as pio\n",
- "import cufflinks\n",
- "import plotly.offline as pyo\n",
- "from plotly.offline import plot, iplot, init_notebook_mode\n",
- "homedir=os.getcwd()\n",
- "import openpyxl\n",
- "from openpyxl import load_workbook\n",
- "from openpyxl import workbook\n",
- "from plotly import express as px \n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 291,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Reading in the naming convention and colour code file\n",
- "colorcode=pd.read_csv(\"tech_codes.csv\",sep=',',encoding = \"ISO-8859-1\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 292,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Making dictionaries linking the technology names to actual names and colour codes\n",
- "colorcode1=colorcode.drop('colour',axis=1)\n",
- "colorcode2=colorcode.drop('tech_code',axis=1)\n",
- "det_col=dict([(a,b) for a,b in zip(colorcode1.tech_code,colorcode1.tech_name)])\n",
- "color_dict=dict([(a,b) for a,b in zip(colorcode2.tech_name,colorcode2.colour)])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 293,
- "metadata": {},
- "outputs": [],
- "source": [
- "#Central plotting function\n",
- "def df_plot(df,y_title,p_title):\n",
- " if len(df.columns)==1:\n",
- " print('There are no values for the result variable that you want to plot')\n",
- " else:\n",
- " \n",
- " fig = df.iplot(x='YEAR',\n",
- " kind='bar', \n",
- " barmode='stack',\n",
- " xTitle='Year',\n",
- " yTitle=y_title,\n",
- " color=[color_dict[x] for x in df.columns if x != 'YEAR'],\n",
- " title=(p_title),\n",
- " showlegend=True,\n",
- " asFigure=True)\n",
- " #pio.write_image(fig, '{}.png'.format(p_title))\n",
- " #fig, axes = plt.subplots(nrows=2, ncols=1)\n",
- " #fig1 = plt.figure()\n",
- " df=df.set_index('YEAR') \n",
- " fig1 = df.plot(kind=\"bar\", stacked=True, figsize=(15,5), color=[color_dict[x] for x in df.columns if x != 'YEAR'])\n",
- " fig1.set_title(p_title,color='black',fontsize=15)\n",
- " fig1.set_ylabel(y_title,color='black',fontsize=15)\n",
- " fig1.set_xlabel('Year',color='black',fontsize=15)\n",
- " fig1.legend(bbox_to_anchor=(1.0, 0.75))\n",
- " fig1.plot()\n",
- " #fig1.figure.savefig('{}.jpeg'.format(p_title),bbox_inches='tight')\n",
- " fig1.figure.savefig('{}.pdf'.format(p_title),bbox_inches='tight')\n",
- " #df.to_csv(os.path.join(homedir,p_title+\".csv\"))\n",
- " #return iplot(fig)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 294,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Reading Result variables\n",
- "#year_sel= [2020,2030,2040,2050]\n",
- "tot_ann_cap=pd.read_csv('TotalCapacityAnnual.csv')\n",
- "tot_ann_cap.drop('REGION',axis=1,inplace=True)\n",
- "tot_ann_cap=tot_ann_cap.set_index('YEAR')\n",
- "prod_tech_ann=pd.read_csv('ProductionByTechnologyAnnual.csv')\n",
- "prod_tech_ann.drop('REGION',axis=1,inplace=True)\n",
- "prod_tech_ann=prod_tech_ann.set_index('YEAR')\n",
- "useby_tech_ann=pd.read_csv('UseByTechnology.csv')\n",
- "useby_tech_ann.drop('REGION',axis=1,inplace=True)\n",
- "useby_tech_ann=useby_tech_ann.set_index('YEAR')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 295,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Creating list with LAnd technology names needed for Land Graphs\n",
- "land_tech=[]\n",
- "land_tech=['AGRPST001','LNDBLT001', 'LNDCRP001I', 'LNDCRP001R', 'LNDCRP002I',\n",
- " 'LNDCRP002R', 'LNDFOR001', 'LNDOTH001']\n",
- "crop_tech=['LNDCRP001I', 'LNDCRP001R', 'LNDCRP002I',\n",
- " 'LNDCRP002R']\n",
- "pwr_tech=['PWRBIO001', 'PWRDSL001', 'PWRGAS001', 'PWRHYD001', 'PWRSOL001', 'PWRWND001']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 296,
- "metadata": {},
- "outputs": [],
- "source": [
- "#Filtering TotalAnnualCapacity CSV to take the necessary technologies for plotting\n",
- "tot_land_cap= tot_ann_cap[tot_ann_cap['TECHNOLOGY'].isin(land_tech)].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "tot_land_cap=tot_land_cap[tot_land_cap['YEAR'].between(2020,2050)]\n",
- "tot_crop_cap= tot_ann_cap[tot_ann_cap['TECHNOLOGY'].isin(crop_tech)].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "tot_crop_cap=tot_crop_cap[tot_crop_cap['YEAR'].between(2020,2050)]\n",
- "tot_crop_prod=prod_tech_ann[(prod_tech_ann['COMMODITY']=='CRP001') | (prod_tech_ann['COMMODITY']=='CRP002')].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "tot_crop_prod=tot_crop_prod[tot_crop_prod['YEAR'].between(2020,2050)]\n",
- "elec_gen= prod_tech_ann[(prod_tech_ann['TECHNOLOGY'].str.startswith('PWR')) & (prod_tech_ann['TECHNOLOGY'] !='PWRTRN') & (prod_tech_ann['COMMODITY'].str[:3] =='ELC')].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "elec_gen=elec_gen[elec_gen['YEAR'].between(2020,2050)]\n",
- "pwr_cap= tot_ann_cap[tot_ann_cap['TECHNOLOGY'].isin(pwr_tech)].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "pwr_cap=pwr_cap[pwr_cap['YEAR'].between(2020,2050)]\n",
- "# Energy supply by type (to be corrected)\n",
- "#energy_supply= prod_tech_ann[(prod_tech_ann['TECHNOLOGY'].str.startswith('PWR')) & (prod_tech_ann['TECHNOLOGY'] !='PWRTRN') & (prod_tech_ann['COMMODITY'].str[:3] =='ELC')].pivot_table(index='YEAR', \n",
- " #columns='TECHNOLOGY',\n",
- " #values='VALUE', \n",
- " #aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "#energy_supply=energy_supply[energy_supply['YEAR'].between(2020,2050)]\n",
- "wat_sup_req= useby_tech_ann[(useby_tech_ann['COMMODITY'].str.startswith('WAT001'))].pivot_table(index='YEAR', \n",
- " columns='TECHNOLOGY',\n",
- " values='VALUE', \n",
- " aggfunc='sum').reset_index().rename_axis(None, axis=1).rename(columns=det_col).fillna(0)\n",
- "wat_sup_req=wat_sup_req[wat_sup_req['YEAR'].between(2020,2050)]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 297,
- "metadata": {
- "scrolled": false
- },
- "outputs": [
- {
- "data": {
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\n",
- "text/plain": [
- ""
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- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- },
- {
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bBgViVUJCgrdr127Hpk2bele1TZVNCjMbL+nx4N077pb0jJl1lTRT0ucKjJ4YLuksBRoVAAAAAICGlUCDArEs+PezykuRqhtJMUHSa5I2uPtzZrZdgQk0/yCpmaQSSYskDXb3ORGrGAAAAAAAxKXqmhRfG8/l7m9IesPMEiQdK+kLbjsKAEAjxahtAIgLJXfekhfJ4zWbMHlRTduYWd4FF1yw9aWXXvpEkkpKStS+ffvck046ac+bb765qqr93n777ZTp06e3nTFjxmeRrPlI5efn95w0adJnZ5555t7a7P/b3/62XUpKStmYMWO+jOS2FRUXFzd/8803W11//fVbpdj5/OqqpjkpDvtxJNiYqHQWTgAAAABAfEtOTi4rLi5O3r17t7Vq1cr/9re/te7QoUNJTfudeeaZe2vbGGhIpaWlSkr671frW2+9dUtl25WUlKhZs2Zfe13VtuH497//3eLZZ59NCzUpGuvnV1FNt6QZb2bTw3j8v3qpFgAAAAAQ884555wdzz///NGS9PTTT6cNHTp0a2jdm2++mXLyySdnZWdn55x88slZS5YsaSFJs2fPTj3rrLN6SNLAgQN7ZGVl5WRlZeWkpqae9PDDD7ctLS3Vddddl967d+/szMzMnAceeODYirnFxcXNTzzxxF6h1+PHj+9w8803d5YCIyRuuOGGLn369MnOyMjo/dprr7WSpN27d9uQIUNOyMzMzPn+979/wv79+78ab/jiiy+2Pumkk7JycnKyv/vd756wY8eOBEnq0qVLn5/97Ged8vLyek6fPv2Y8jXcfPPNncePH98hlDlmzJgup5xySs+77767Q8XX5bedP39+SmZmZs5JJ52Udd1116WH3kdxcXHzvLy8njk5Odk5OTnZc+bMOUqSbr/99i4LFy5slZWVlXPnnXe2L//5ff7554nnnntu98zMzJzc3NysDz74IDlU2/DhwzPy8/N7pqen97n77rtj7k6dNY2k6C6pYxjHYQAoAAAAUN+44wZi1JVXXrl1woQJnS699NLthYWFKddcc82X7733XitJys3N3f/hhx8WNWvWTC+99FLqrbfemv7666+vLr///PnzV0nSO++8k3LNNddkjBgxYvuDDz54bJs2bQ4tX768cN++fXbKKadknXfeeTuzsrIOhltXaWmpLVu2rPDZZ59tM3HixM6DBw9eOWnSpPbJycllK1euLPjggw+STzvttBxJ2rhxY9K9997b6e23317ZunXrsttvv73jXXfd1WHSpEkbJally5ZlixYtqvFOl9u3b09csGBBsSS9+uqrR5d/HWqgSNKoUaO6TZkyZc2gQYP23HjjjV1Cyzt37lz6zjvvrExJSfFly5a1uPzyy09Yvnx54T333LN+8uTJHUKX0MyePTs1tM+tt97aOTc3d+/cuXNXz5o1K/Wqq67qVlRUVCBJq1atavnee+8Vb9++PTE7O7v3z3/+8y0tWrSImRNDTU2Kq939w3qpBACAeMd3DSB6+DIP1KtTTz1137p161o89thjaeeee+6O8uu2bt2aeOmll3Zbs2ZNSzPzkpKSSv8H3bhxY9LVV1/d7Zlnnlndtm3bQ3Pnzm1dVFSUMmvWrGMkadeuXYkFBQUtj6RJMXz48G2SNGDAgD0///nPm0vSP//5z1Zjx47dHKo7MzNzryS99dZbR61evbplfn5+liSVlJRYXl7e7tCxfvCDH2wLJ/Pyyy/fWt1rSfriiy8S9+zZkzBo0KA9knTVVVdtnTNnztGSdPDgQbvmmmuOLygoSE5ISNCnn37aoqbMDz/8MPWFF15YJUnnn3/+rtGjRyd9+eWXiZL07W9/e3tycrInJyeXpqWllaxbty6pe/fuNV6OU19qalIAAAAAAHDEBg8evH3ChAnHvfHGG8WbN2/+6rvnuHHjugwcOHDXnDlzVhcXFzc/++yze1bct7S0VEOHDj1h3LhxG0455ZT9kuTuNnny5LVDhw7dWVVmUlKSl5X99/4O+/fv/9oUBy1btvTgdjp06NBXzRGzw/sk7q7TTz9958svv/xJZVmpqalh3Uii4naV7ededVP0nnvu6dC+ffuSF1544ZOysjIlJyfXOBlqZcczM5ek8qMmEhMTVVpaWpsubtTUNCcFAAAAAABH7IYbbvjilltu2ZCfn7+v/PKdO3cmpqenH5SkqVOnHjavhCT96Ec/Ss/Jydk7evTor0YrDBo0aMcf//jHdgcOHDBJWrp0aYudO3d+7Tttenp66datW5M2bdqUuG/fPnv99dfb1FTn6aefvvt///d/0yRpwYIFLVeuXJkiSd/61rf2LFy4sNXy5ctbSNKuXbsSli5dWuMohtpo167doaOOOqps3rx5R0nSk08+mRZat2PHjsROnTqVJCYmasqUKW0PHTokSWrTps2h3bt3J1Z2vG9+85u7/vznP7eVApeBHHPMMaVpaWmN4u6c1Y2kmC+pyg4VAAAAACC2hXPL0Gjp3r17yR133HHYnSHHjRu3adSoUd0eeuihjmeccUal3zmnTZvWoUePHvuzsrJaS9Idd9yx/qc//ekXa9asadGnT59sd7e0tLSSv//971+by6JFixZ+yy23bMzPz89OT08/0KNHj/011fmzn/1s82WXXdYtMzMzp1evXnv79OmzRwrMBTF16tQ1l1122QkHDx40SZowYcL6vn37HqjN51GTqVOnrrn++uuPT0lJKTvttNN2paamHpKkn/zkJ5uHDh3a/aWXXjrm9NNP35WcnFwmSfn5+fuSkpK8Z8+eOSNGjPgiLy/vq2bQ/fffv2HEiBEZmZmZOcnJyWUzZsyodDRILLLqhpXEsn79+vnChQsbugwAQFNXn5exk0UWWdHLKqpFWFYtw8giq56yzGyRu/crv2zJkiVrcnNzvzjyIDS0HTt2JLRp06ZMkn75y1923LhxY7M///nPnzV0XdGwZMmSY3NzczMqW8ecFAAAAAAANLDnnnuuzeTJkzsdOnTIunTpcuCpp55a09A1NQSaFAAAAAAANLBrr71227XXXhvWHUOaMibOBAAAAAAAMYGRFACAxqc+r2MHED2F/M8MAPi6I2pSmFkLSV0ktay4zt0LIlUUAAAAAACIP2E1Kcyss6Rpkr5b2WoFWtqV3p8VAAAAAAAgHOGOpHhc0jck3SypQNLBqFUEAAAAAIgIu9PyInk8n+CLasw0y7vgggu2vvTSS59IUklJidq3b5970kkn7XnzzTdXVbXf22+/nTJ9+vS2M2bMqJfbbl566aXH33rrrZ/n5eXtr2qbDRs2JA0ePLhHSUlJwu9///u1gwcP3l3TcWfPnp06efLkDtW9V1Qt3CbFaZKudffnolkMAKAR49JyAAAgKTk5uay4uDh59+7d1qpVK//b3/7WukOHDiU17XfmmWfuPfPMM/dGqo6ysjK5uxITKx/0/+yzz35a0zFmz56d2qNHj/0vvvjimkjVheqFe3ePzZL2RbMQAAAAAEDTcM455+x4/vnnj5akp59+Om3o0KFbQ+vefPPNlJNPPjkrOzs75+STT85asmRJCynQEDjrrLN6SNLAgQN7ZGVl5WRlZeWkpqae9PDDD7ctLS3Vddddl967d+/szMzMnAceeODYirnFxcXNTzjhhF5XXHFF1169euWsXr26+ciRI7v27t07u0ePHr1++tOfdg5tm5+f3/Ptt99OkaSUlJSTf/zjH3fp2bNnTm5ubtZnn32W9N577yVPmDAh/c0332yTlZWVs3v3bnvxxRdbn3TSSVk5OTnZ3/3ud0/YsWNHgiTNnDmzdbdu3Xrl5eX1nDlz5tHR/GybunCbFOMljTOz1tEqxMx+amYrzGy5mT1tZodNzgkAAAAAiH1XXnnl1mefffaYvXv3WmFhYUr//v33hNbl5ubu//DDD4sKCwsLJkyYsP7WW29Nr7j//PnzVxUVFRU89thjazp16nRwxIgR2x988MFj27Rpc2j58uWFS5YsKXziiSfaFRUVNa+475o1a1r+8Ic//LKwsLAgMzPz4O9+97v1y5cvLywqKlrx7rvvpn7wwQfJFffZt29fQv/+/XcXFxcX9O/ff/fDDz/cbsCAAft+8YtfbDjvvPO2FRUVFezatSvx3nvv7fT222+vLCgoKPzGN76x96677uqwd+9eGzNmTMasWbNWLViwoHjz5s3NIv+Jxo9wL/e4WFJXSZ+a2QJJ2yusd3e/tLZFmFkXSWMl5bj7PjN7TtJlkmbU9pgAAACoBW4LCiACTj311H3r1q1r8dhjj6Wde+65O8qv27p1a+Kll17abc2aNS3NzEtKSio98WzcuDHp6quv7vbMM8+sbtu27aG5c+e2LioqSpk1a9YxkrRr167EgoKClllZWV+bM7FTp04HzznnnK+aIk888UTajBkzji0tLbUtW7Y0W7JkSctTTz31a1cKNGvWzC+77LIdkpSXl7dn7ty5h/2C/q233jpq9erVLfPz87MkqaSkxPLy8nZ//PHHLdPT0w/06dPngCSNHDnyy8cff7xd7T45hNukOFbS6uDzZpKi8YEnSUo2sxJJKZI2RCEDAOIL3zUAAEADGTx48PYJEyYc98YbbxRv3rz5q++e48aN6zJw4MBdc+bMWV1cXNz87LPP7llx39LSUg0dOvSEcePGbTjllFP2S5K72+TJk9cOHTp0Z3W5KSkpZaHnRUVFzR955JEOixYtKmzXrt2hoUOHZuzfv/+wKwqSkpI8ISEh9FylpaWH/RTl7jr99NN3vvzyy5+UX/7ee+8lm9Xmhy5UJqzLPdz9rJoedSnC3ddLmiRpraSNkna4+xt1OSYAAAAAoOHccMMNX9xyyy0b8vPzvzZqYefOnYnp6ekHJWnq1KmHzSshST/60Y/Sc3Jy9o4ePXpbaNmgQYN2/PGPf2x34MABk6SlS5e22LlzZ7Xfabdt25aYnJxclpaWduizzz5Leuutt9rU9v1861vf2rNw4cJWy5cvbyFJu3btSli6dGmLk046af+6deuar1ixooUkPfPMM2m1zUD4Iym+xsyauXuNs7MewfGOkXSBpG4KXEryvJld4e7/W2G70ZJGS1LXrl0jFQ8AAAAATVI4twyNlu7du5fccccdmysuHzdu3KZRo0Z1e+ihhzqeccYZlY6KmDZtWocePXrsz8rKai1Jd9xxx/qf/vSnX6xZs6ZFnz59st3d0tLSSv7+97+vrmz/kP79++/r3bv33hNPPLFX165dD+Tl5dV4C9GqdO7cuXTq1KlrLrvsshMOHjxokjRhwoT1ffv2PfDwww9/OmTIkB5paWmlp5566u7CwsLD5r1AeMw9vHG9ZjZA0h2STlfgcoy9kt6RdJe7v1+nIsyGSxrs7tcEX/9A0jfd/caq9unXr58vXLiwLrEA0PTV5+UeZJFFVvSyimoRllXLMLLIIqvRZJnZInfvV37ZkiVL1uTm5n5x5EFA/VmyZMmxubm5GZWtC2skhZkNkvSKpGJJD0j6XFIHScMkvWVm33f3uXWoca2kb5pZigK3Oj1HEh0IAE0T80QAAAAAlQr3co97JM2SNNy/PvRiopm9IOleSbVuUrj7B2Y2U9JHkkolLZY0rbbHAwAAAAAAjU+4TYo+ku7wyq8NmSbppboW4u4TJE2o63EAAAAAAEDjFNbdPRSYzLJ7Fet6BNcDAAAAAADUWrgjKZ6X9Bsz2ylpprvvN7OWCsxJcY+kJ6JVIAAAaOQKm+hELE31fQEA0IDCbVKMk9RWgWbEE2a2W1Kr4Lqng+sBoPHiuwbiDV+wAQBADAqrSeHu+ySNNLO7JJ0iqZOkjZIWuHtRFOsDAAAAANRWkeVF9HhZvqimTcaNG9fxhRdeaJuQkOAJCQmaMmXKp2efffaeiNbRiN18882dW7VqdWjixImf12b/t99+O2X69OltZ8yY8Vkkt63Mbbfd1vG+++7bFHp98sknZy1evDiqPYBwR1JIkoINCZoSAAAAAIDDzJ0796jXX3/96GXLlhUkJyf7xo0bkw4cOFCb4XthKy0tVVLSEX21bVRKSkrUrFmzr16feeaZe88888y9NW1XUlJS5bbheuihhzqVb1JEu0EhVTNxppnlmFmLcs+rfUS7UABxyGrxAAAAQINZv359s7S0tNLk5GSXpE6dOpVmZGSUSFKXLl36bNy4MUkK/IY/Pz+/pyRt2LAhacCAASfm5ORkjxgx4vjOnTt/td25557bvVevXtk9evToNWnSpGNDOSkpKSf/5Cc/6dy3b9+sefPmtXrkkUfaZmZm5vTs2TPnwgsv7CZJTz31VJu+fftmZWdn5wwYMCDzs88+S5ICIxmGDx+ekZ+f3zM9Pb3P3Xff3T503ClTpqT16dMnOysrK2fEiBHHl5aWHvYeq3of1R133LhxHTMyMnoPGDAg89///neL0PIVK1a0OOOMM07s1atXdl5eXs/Fixe3lKShQ4dmjBo1Kv3UU0/NvPHGG9PL58+ePTv1rLPO6hHKvPzyy48/7bTTTrz44ou7VXxdftsj/ZxvvPHGLgcOHEjIysrKOf/887uFPndJKisr03XXXZd+4okn9srMzMx57LHHjgnVlp+f33Pw4MEndOvWrdf555/frays7Ij+DlV3d4/lknLLPV9WxSO0DgAAAAAQxy688MKdGzZsaJ6RkdH7iiuu6PrKK6+0qmmf2267rfPAgQN3FRQUFF588cXbNm7c2Dy07q9//euaFStWFH788ccFU6dO7bBp06ZESdq3b19C79699y1durSobdu2pZMmTeo0f/78lcXFxQVTp05dK0mDBg3a/fHHHxcVFhYWDBs2bOvEiRM7ho67atWqlvPnz1+5YMGCwkmTJnU+cOCAffTRRy1nzpyZtnDhwqKioqKChIQE/9Of/tT2SN5/Zcd95513Uv72t7+lLVu2rGD27NmrlixZclRo+1GjRh0/ZcqUtStWrCh84IEH1t1www1dQ+tWr17d8t1331352GOPrasuc+nSpSmvv/76qpdffvmTyl7X9nOeMmXK+hYtWpQVFRUVzJo162vH+stf/nL0smXLkgsLC1fMmzdv5fjx49M//fTTZpJUWFiY/Oijj362atWqFWvXrm0xZ86cGv8OlFfdmJizJBWUew4AAAAAQJXatGlTtnz58oLXXnstdd68ealXXXVV9/Hjx68bO3bsl1Xt8+GHH7Z66aWXVknSsGHDdrZu3fpQaN3999/f4ZVXXjlakjZt2tRsxYoVLTt27LgnMTFRV1999TZJev3111ufd9552zp16lQqSR06dDgkSZ988knzCy+8MH3Lli3NDh48mHDccccdCB3329/+9vbk5GRPTk4uTUtLK1m3bl3Sa6+9lrp8+fKU3NzcbEnav39/Qvv27Q8fSlGNyo775ptvtvre9763PTU1tSy0jSTt2LEjYfHixa2GDx/ePbT/wYMHvxobfPHFF28L5zKWwYMHb2/VqpVX9TqkNp9zVZnvvPNO6iWXXLI1KSlJxx13XOmpp566+5///GdKmzZtyvr06bOne/fuJZLUq1evvatXr25e1XEqU+U7dvf5lT0HEOe4IQAAAACqkZSUpCFDhuwaMmTIrr59++578skn244dO/bLxMREDw3937dv31ej+t0r/2Fx9uzZqfPnz09duHBhUWpqall+fn7P0H7NmzcvC32Bd3eZ2WEHGTNmTNebbrpp08iRI3fMnj07deLEiZ1D61q0aPHV9omJiSotLTV3t+HDh3/56KOPrq/u/VX1Pqo6riSZHf5D9KFDh5SamlpaVFRUcNhKSa1atQrrOomjjjqqrLrXIbX5nKtS1bGkqj+DcFUbDAAA6lGhHfkDAIAYsmTJkhbLli37as6FxYsXJ6enpx+UpPT09IPvvvtuiiQ999xzx4S2yc/P3/3kk0+mSdKLL77YeufOnYmStH379sQ2bdocSk1NLVu8eHHL8pdJlDd48OCds2bNSgtdCvL5558nStKuXbsSu3btWiJJM2bMqPGyjcGDB++cPXv2MevXr08KHWflypWHjQKo6n1U5eyzz979yiuvHL17927btm1bwpw5c46WpLS0tLL09PSD06dPP0YKzPPw/vvvJ9d0vNqqzeeclJTklU18OnDgwF0zZ85MKy0t1YYNG5I+/PDDVmeccUZE7uBS5UgKM9uiI/j9p7u3r3krAAAAAEC9CeOWoZG0c+fOxLFjx3bduXNnYmJiomdkZBx44oknPpWk8ePHb7j++usz7r///pK8vLyvvtDed999G4YNG3ZCTk7OMf3799/drl27kqOPPvrQ0KFDd0ybNq1dZmZmTvfu3ffn5uZW+iW4X79++2+55ZaNZ5xxRlZCQoL37t177wsvvLDm9ttv33D55Zd379Chw8F+/frtWbt2bYvK9g/Jy8vb/6tf/Wr9Oeeck1lWVqZmzZr5Qw89tDYzM/Ng+e2qeh9VOf300/dedNFFW3v37t2rS5cuB/Lz83eH1j399NP/ufbaa4+///77O5WWltpFF120tX///vtqOmZt1OZzHjly5Jbs7Oyc3r177y0/L8WVV165/b333muVnZ3dy8z8zjvvXNe1a9fSpUuX1rlOq2qYhpn9WkfWpLizztUcgX79+vnChQvrMxKAVL+Xe5BFVrxlFdUiLKuWYU01i/9eZJFFVhxlmdkid+9XftmSJUvW5ObmfnHkQQ1n3759lpSU5M2aNdPcuXOPGjNmzPFVXQKB2oulz3nJkiXH5ubmZlS2rro5KX4drYIARBjzRAAAAKCRWrVqVfNLLrmke2j0wtSpU9c0dE1NUWP5nGueKhQAgHhWq3kf6AICABCuPn36HCgsLGTkRJQ1ls+5ujkpnjuSA7n7JXUvBwAAAAAAxKvqRlK0q7cqgKaIX74CAAAAwBGpbk6Ks+qzEAAAAAAAEN8SGroAAAAAAAAAqfo5KW6U9Ly7bwk+r5a7T4loZUA0cAkGAAAA4okpL6LHcy2qaZNx48Z1fOGFF9omJCR4QkKCpkyZ8unZZ5+9J6J1NAK//e1v26WkpJSNGTPmy+q2O++887oVFxcnjxw58osJEyZsDufYKSkpJ+/du3dxZCqNLdXNSfGIpIWStgSfV8cl0aQAANQP7rgBAEBMmjt37lGvv/760cuWLStITk72jRs3Jh04cKA2/3CHrbS0VElJDXPjyuqyb7311i017b927dqkRYsWtdqwYcOyiBfXSFV5uYe7J7j7h+WeV/dIrL+SAQAAAACxaP369c3S0tJKk5OTXZI6depUmpGRUSJJXbp06bNx48YkSXr77bdT8vPze0rShg0bkgYMGHBiTk5O9ogRI47v3LnzV9ude+653Xv16pXdo0ePXpMmTTo2lJOSknLyT37yk859+/bNmjdvXqtHHnmkbWZmZk7Pnj1zLrzwwm6S9NRTT7Xp27dvVnZ2ds6AAQMyP/vssyRJuvnmmzsPHz48Iz8/v2d6enqfu+++u33ouFOmTEnr06dPdlZWVs6IESOOLy0tPew9dunSpc/PfvazTnl5eT2nT59+zOTJk4/t3bt3ds+ePXO+853vdN+1a1dCKGf8+PEdJCk/P7/nDTfc0KVPnz7ZGRkZvV977bVWwfeXuXXr1mZZWVk5r732WqsVK1a0OOOMM07s1atXdl5eXs/Fixe3lKSioqLmJ510Ulbv3r2zb7rpps4R/w8XQ5iTAgAAAAAQERdeeOHODRs2NM/IyOh9xRVXdH3llVda1bTPbbfd1nngwIG7CgoKCi+++OJtGzdubB5a99e//nXNihUrCj/++OOCqVOndti0aVOiJO3bty+hd+/e+5YuXVrUtm3b0kmTJnWaP3/+yuLi4oKpU6eulaRBgwbt/vjjj4sKCwsLhg0btnXixIkdQ8ddtWpVy/nz569csGBB4aRJkzofOHDAPvroo5YzZ85MW7hwYVFRUVFBQkKC/+lPf2pbWc0tW7YsW7RoUfHo0aO3jRw5ctvy5csLi4uLC3r27LnvoYceOrayfUpLS23ZsmWF999//2cTJ07sLEkvv/zyquOOO+5AUVFRweDBg3ePGjXq+ClTpqxdsWJF4QMPPLDuhhtu6CpJN954Y9dRo0ZtWb58eWHHjh1LjuS/SWNT3ZwUXY/kQO6+tu7lIC4xahsAAABoEtq0aVO2fPnygtdeey113rx5qVdddVX38ePHrxs7dmyV8zJ8+OGHrV566aVVkjRs2LCdrVu3PhRad//993d45ZVXjpakTZs2NVuxYkXLjh077klMTNTVV1+9TZJef/311uedd962Tp06lUpShw4dDknSJ5980vzCCy9M37JlS7ODBw8mHHfccQdCx/32t7+9PTk52ZOTk0vT0tJK1q1bl/Taa6+lLl++PCU3Nzdbkvbv35/Qvn37w4dSSPrBD36wLfR80aJFyePHj++ya9euxD179iQOHDhwR2X7DB8+fJskDRgwYM/Pf/7z5hXX79ixI2Hx4sWthg8f3j207ODBgyZJH330UatXX311tSRdd911X951113pVX2ejV11F+58EuYxTIGvjFzyAQDxjHkiAACApKSkJA0ZMmTXkCFDdvXt23ffk08+2Xbs2LFfJiYmellZmaTASIjQ9u6V/zwwe/bs1Pnz56cuXLiwKDU1tSw/P79naL/mzZuXheaCcHeZ2WEHGTNmTNebbrpp08iRI3fMnj07NTR6QZJatGjx1faJiYkqLS01d7fhw4d/+eijj66v6T2mpqaWhZ6PHj2628yZM1f1799/30MPPdR2/vz5qZXt07JlSw99PocOHTrsB6dDhw4pNTW1tKioqKCy/RMSEuLiB6fqLvcwSXskPSXpMknnV/E4L/gnAABAwyq0I38AACJmyZIlLZYtW9Yi9Hrx4sXJ6enpByUpPT394LvvvpsiSc8999wxoW3y8/N3P/nkk2mS9OKLL7beuXNnoiRt3749sU2bNodSU1PLFi9e3HLJkiVHVZY5ePDgnbNmzUoLXQry+eefJ0rSrl27Ert27VoiSTNmzKj0so2Kx5k9e/Yx69evTwodZ+XKlYeNeKho7969CV27di05cOCAPfPMM2k1bV+VtLS0svT09IPTp08/RpLKysr0/vvvJ0vSN77xjd2PPfZYmiQ99thjNb6Xxqy6kRRnKtCcGCbpQkkvS3pG0qvu3qSvgYG4BAMAAABoCsK4ZWgk7dy5M3Hs2LFdd+7cmZiYmOgZGRkHnnjiiU8lafz48Ruuv/76jPvvv78kLy/vq1uS3nfffRuGDRt2Qk5OzjH9+/ff3a5du5Kjjz760NChQ3dMmzatXWZmZk737t335+bmVnob0379+u2/5ZZbNp5xxhlZCQkJ3rt3770vvPDCmttvv33D5Zdf3r1Dhw4H+/Xrt2ft2rUtKts/JC8vb/+vfvWr9eecc05mWVmZmjVr5g899NDazMzMg9Xtd9ttt23Iz8/P7tKly8Hs7Oy9u3fvrvVVBk8//fR/rr322uPvv//+TqWlpXbRRRdt7d+//74pU6asveyyy06YMmVKh/PPP39bzUdqvKyqoTVfbWCWIOkcBRoWFwUXv6RAw2Kuu5dVsWtU9evXzxcuXNgQ0fGhPpsUZJFFVtPIKqpFWFYtw8giiyyyyCKLLJnZInfvV37ZkiVL1uTm5n5x5EENZ9++fZaUlOTNmjXT3LlzjxozZszxVV3ygKZhyZIlx+bm5mZUtq7Gm8kGmxBzJM0xs+slDZY0QtIrkmZKujxypQIAIop5IgAAQIxbtWpV80suuaR7aPTC1KlT1zR0TWg4NTYpKuirwGUgp0k6JKk44hWhanzXAAAAANDE9OnT50BhYSEjJyApjCaFmeUocKnH5ZKOl/QPSeMlvejuO6NbHgAAAADgCJSVlZVZvNwJAo1PWVmZSapy2ogqmxRm9gsFGhM5kv4pabKkme7eqK5vAoCYwyUYAAAgepZv2bIlp127djtoVCDWlJWV2ZYtW9pIWl7VNtWNpLhH0i5Jz0paL+kESbeaVfrDtbv7uDrU2njxXQMAAABAjCgtLR21adOmxzdt2tRbUkJD1wNUUCZpeWlp6aiqNqiuSbFWga/TA8IIcknx2aQAAAAAgBiRl5e3WdL5DV0HUFtVNincPaMe6wAAAAAAAHHuSO/uAQBNE/NEAAAAAA0uZq5RMrOjzWymmRWZWaGZ9a/9wWrxAAAAAAAADSqWRlL8QdJr7j7MzJpLSmnoggAAAAAAQP2JiSaFmbWWdKakqyXJ3Q9KOtiQNQGIAVyCAQAAAMSVWLnc4wRJWyT92cwWm9njZnZUxY3MbLSZLTSzhVu2bKn/KgEAAAAAQNTExEgKBer4hqQfu/sHZvYHSbdJuqP8Ru4+TdI0SerXrx+/LgUaAqMbAAAAAERJ2E0KM+ssaYikdEktK6x2dx9XhzrWSVrn7h8EX89UoEkBAAAAAADiRFhNCjO7SNLTkhIlbdbh80W4pFo3Kdx9k5l9ZmY93b1Y0jmSCmp7PAAAAAAA0PiEO5LiXklvSLra3bdGqZYfS/pr8M4e/5H0wyjlAE0Pl2AAAAAAaALCbVIcp8B8EdFqUMjdP5bUL1rHBwAAAAAAsS3cu3u8J6lnNAsBAAAAAADxLdyRFDcrcCnGbklzJG2vuIG7741gXUDjxyUYAAAAAHBEwm1SLA3++WdV/S0qse7lAAAAAACAeBVuk+J/xK940RQwugEAAAAAYlZYTQp3nxHlOgAAAAAAQJwLd+JMAAAAAACAqKpyJIWZfSjpancvMLMFqmHMu7vnR7o4AAAAAAAQP6q73GOFpH3lnnNhPgAAAAAAiJoqmxTu/sNyz6+ul2oAAAAAAEDcYk4KAAAAAAAQE2hSAAAAAACAmECTAgAAAAAAxASaFAAAAAAAICbQpAAAAAAAADGBJgUAAAAAAIgJVd6CtDwzaybpJkkXS0qX1LLiNu7ePrKlAQAAAACAeBJWk0LS7yVdJ2m2pDclHYxaRQAAAAAAIC6F26QYLuk2d58czWIAAAAAAED8CndOCpO0NJqFAAAAAACA+BZuk+IxSZdHsxAAAAAAABDfwr3c43NJI83sTUlzJG2vsN7d/Y+RLAwAAAAAAMSXcJsUDwb/7CppYCXrXRJNCgAAAAAAUGthNSncPdzLQgAAAAAAAGqF5gMAAAAAAIgJ4V7uITM7WtJ1kk6XlCZpq6R3JE1z9+3RKA4AAAAAAMSPsEZSmFl3ScskTZR0lKS1wT8nSloaXA8AAAAAAFBr4Y6k+L0Cd/T4pruvDy00sy6SXpX0O0kXRLw6xIdCq8VOHvEyAAAAAAANK9w5Kb4laXz5BoUkBV/fKemsCNcFAAAAAADiTLhNCpeUWM0x+LU2AAAAAACok3CbFG9KusvMji+/MPh6oqR5kS4MAAAAAADEl3DnpPiJpH9I+reZfSTpc0ntJeVJ+kzSzVGpDgAAAAAAxI2wRlK4+xpJWZLGSlohqZmkAkljJGUH1wMAAAAAANRauCMp5O4HJf0p+AAAAAAAAIiocOekAAAAAAAAiKoqR1KY2WZJ33H3xWa2RTXcwcPd29e1GDNLlLRQ0np3H1LX4wEAAAAAgMajuss9HlVggszQ8/q4zehNkgolta6HLAAAAAAAEEOqbFK4+53lnv862oWYWbqk70u6R9wtBAAAAACAuBPWnBRm9g8zy6piXaaZ/SMCtTwo6VZJZdXUMdrMFprZwi1btkQgEgAAAAAAxIpwJ878lqq+BKO1pDPrUoSZDZG02d0XVbedu09z937u3q9du3Z1iQQAAAAAADHmSO7ucdicFGbWXNLZkjbVsY7TJJ1vZmskPSPpbDP73zoeEwAAAAAANCJVNinMbIKZHTKzQwo0KP4Vel1u+T5Jv5FUp4aCu//C3dPdPUPSZZL+4e5X1OWYAAAAAACgcanu7h5/l/SFJJP0kKTJktZU2OagpCJ3fycq1QEAAAAAgLhR3d09FkhaIElmtkvSbHf/MtoFuftbkt6Kdg4AAAAAAIgt4c5J8bGkUytbYWbfM7O+EasIAAAAAADEpXCbFL9XFU0KSacE1wMAAAAAANRadXNSlPcNSfdVse59STdFphxUq9BqsdNhN2UBAAAAACAmhTuSIlHSUVWsO0pS88iUAwAAAAAA4lW4IykWSBot6W+VrBstaWHEKkJsYNQGAAAAAKCehduk+LWkuWb2gaQnJG2S1EnSDyTlShoUleoAAAAAAEDcCKtJ4e5vm9m3Jf1G0sOSTFKZpA8kDXL3d6JXIgAAAAAAiAfhjqSQu78lqb+ZpUg6RtI2d98brcIAAAAAAEB8CbtJERJsTNCcAAAAAAAAERVWk8LMnqtpG3e/pO7lAAAAAACAeBXuSIp2lSxLk9RT0peSiiNWEQAAAAAAiEvhTpx5VmXLzew4BW5L+vtIFgUAAAAAAOJPQl12dvfPFLjjx28jUw4AAAAAAIhXdWpSBB2SlB6B4wAAAAAAgDgW7sSZOZUsbi4pW9JdkhZEsigAAAAAABB/wp04c7kkr2S5KdCgGBWxihqbQqvFTpV9lAAAAAAAxLdwmxSVTZy5X9I6d18fwXoAAAAAAECcCvfuHvOjXQgAAAAAAIhvVTYpzKzrkRzI3dfWvRwAAAAAABCvqhtJsUZHNnlCYt1KAQAAAAAA8ay6JsV55Z63lvRbSYWSXpS0WVJ7SUMlZUn6ebQKBAAAAAAA8aHKJoW7vxJ6bmYzJM129xsqbPYnM/uTpO9LeiYqFQIAAAAAgLiQEOZ2FyswgqIyL0g6PzLlAAAAAACAeBVuk2KfpNOrWHeGArcjBQAAAAAAqLWwbkEq6Y+S7jCztpJm6b9zUlwg6TpJ90SnPAAAAAAAEC/CalK4+6/NbJukWyXdqMBdP0zSJkk/c/cHo1YhAAAAAACIC+GOpJC7/8HMHpbUVVIHBRoUn7l7WbSKAwAAAAAA8SPsJoUkBRsSa8xsvbuXRKkmAAAAAAAQh8KdOFNmNsDMXjWzXZL2m9kuM/u7mfWPYn0AAAAAACBOhDWSwswGSXpFUrGkByR9rsAlH8MkvWVm33f3uVGrEgAAAAAANHnhXu5xjwJ39Rju7l5u+UQze0HSvZJoUgAAAAAAgFoLt0nRR9IdFRoUIdMkvRSxiiKh0GqxU2VvDQAAAAAA1Jdw56TYLql7Fet6BNcDAAAAAADUWrhNiucl/cbMrjCzlpJkZi3N7AoFLgV5LloFAgAAAACA+BBuk2KcpNmSnpC0x8x2SNoTfD07uL7WzOw4M3vTzArNbIWZ3VSX4wEAAAAAgMYnrDkp3H2fpJFmdpekUyR1krRR0gJ3L4pAHaWSbnH3j8wsVdIiM5vj7gURODYAAAAAAGgEamxSBC/v2CHpUnd/SVIkmhJf4+4bFWh6yN13mVmhpC6SaFIAAAAAABAnarzcw933S9qswGiHqDOzDEknS/qgknWjzWyhmS3csmVLfZQDAAAAAADqSbhzUkyVNNbMmkWzGDNrJekFST9x950V17v7NHfv5+792rVrF81SAAAAAABAPQtrTgpJR0vqLWmNmc2T9LkkL7fe3b2uk2c2U6BB8Vd3f7EuxwIAAAAAAI1PuE2KoZIOBJ+fUcl6Vx3u8GFmJun/SSp099/V9jgAAAAAAKDxCvfuHt2iXMdpkq6UtMzMPg4u+6W7/z3KuQAAAAAAIEZU26Qws2RJ35OUocDdN+a5++eRLsLd/ynJIn1cAAAAAADQeFTZpDCzEyTNVaBBEbLTzC5x9zeiXRgAAAAAAIgv1d3d47eSyhSYgyJFUi9JixW40wcAAAAAAEBEVdek6C/pV+7+rrvvd/dCSddJ6mpmneqnPAAAAAAAEC+qa1J0kvSfCstWKzB3RMeoVQQAAAAAAOJSdU0KKXBrUQAAAAAAgKir6Rakr5tZaSXL51Vc7u7tI1cWAAAAAACIN9U1Ke6styoAAAAAAEDcq7JJ4e40KQAAAAAAQL2paU4KAAAAAACAekGTAgAAAAAAxASaFAAAAAAAICbQpAAAAAAAADGBJgUAAAAAAIgJNCkAAAAAAEBMoEkBAAAAAABiAk0KAAAAAAAQE5IaugAAAAAAiAclz958xPs0mxCFQoAYRpMCAAAAQI3q8wt2U80CUDOaFAAAAEAE8QUbAGqPJgUAAAAaBF/mAQAV0aQAAACoBXv2yPfxWn7prc8svswDABoSTQoAAOJQU/2CXZ9Z9emgjrxxAABAY0STAgDQ6DTVL71N9Qt2U0XjAACAyKNJAQD1rKl+6eULNmIBjQMAABo3mhQAjkhT/dLLF2wAAACg4dGkQINrql9Em2oWABwpRjcAAIBw0aSoo6b6RZQvvQDQtNE4AAAAsahJNin4gg0AaIxoHAAAgHiX0NAFAAAAAAAASE10JAUAAJHC6AYAAID6Q5MCABAR9fllnsYBAABA00STAgCaML7MAwAAoDGhSQEA9YzGAQAAAFA5mhQAIBoHAAAAQCyImSaFmQ2W9AdJiZIed/f7GrgkAA2MxgEAAAAQX2KiSWFmiZIelTRI0jpJC8xslrsX1OZ4TN4GRA9/5wEAAABES0w0KSTlS1rl7v+RJDN7RtIFkmrVpGiqmmrzhazGlQUAAAAA0WLu3tA1yMyGSRrs7qOCr6+UdKq7j6mw3WhJo4Mve0oqPsKoYyV9UcdyySKLLLLIIossssgiiyyyYiHreHdvF+ligIYUKyMprJJlh3VP3H2apGm1DjFb6O79ars/WWSRRRZZZJFFFllkkUVWY84CYl1CQxcQtE7SceVep0va0EC1AAAAAACABhArTYoFkk40s25m1lzSZZJmNXBNAAAAAACgHsXE5R7uXmpmYyS9rsAtSKe7+4ooRNX6UhGyyCKLLLLIIossssgii6wmkAXEtJiYOBMAAAAAACBWLvcAAAAAAABxjiYFAAAAAACICTQpAAAAAABATKBJAQAAAAAAYkKTblKY2XfM7I9mNsvM/i/4fHA91zA+Csf8jpldY2YZFZb/T4RzzMwuMbPhwefnmNlDZnajmUX9746Z/SNKxz22wusrgu9rtJlZhLMuMrO04PN2ZvYXM1tmZs+aWXqEs35nZqdF8pjVZKWZ2XgzGxX8u3G7mc02swfM7Jgo5J1lZo8E/z9+wczuM7Mekc4JZnHeqFsO5426Z3HeiEwe5426H5PzRt2Oy3mj7lmcN4A41GTv7mFmD0rKlPQXSeuCi9Ml/UDSv939pnqqY627d43g8e6VdLqkjySdJ+lBd384uO4jd/9GBLOmSGovqbmknZJaSHpZ0vckfR7Jz9DMllZcpMB/v2JJcve+Ecz66nMys19JOkPSU5KGSFrn7j+NYFaBu+cEnz8r6V+Snpd0rqSR7j4ogllbJH0qqZ2kZyU97e6LI3X8Cll/l7RMUmtJ2cHnz0kaJCnX3S+IYNZ9kjpImifpQkmfSFop6UZJ97r78xHMelCcN+qaxXmj7lmcN+qexXmj7sfjvFH3LM4bdc/ivAHEI3dvkg9JK6tYbgr8zx/JrJ1VPHZJKo1w1jJJScHnR0v6u6TfB18vjnRW8M9mkr6U1Dz4Oim0LoJZsyT9r6QsScdLypD0WfD58RHOWlzu+UeSjir3PiP9vorLPV9UYd3H0Xhfkk6UdIekFZKKJE2QlBnhrI+Df5qk9VF+X8vKPU+S9G7w+TGSlkc4i/NGhP57cd6oUxbnjbpncd6IwGfIeaPOWYvLPee8Ubusj4N/ct7gwSOOHk35co/9ZpZfyfJTJO2PcNZ2SSe6e+sKj1RJGyOcleTupZLk7tsV+O1GazN7XoHfQERSKKdE0gJ3Pxh8XSrpUCSD3P18SS9ImqZAZ3yNpBJ3/9TdP41klqRkMzvZzPIkJbr7nmANJYrw+5L0lplNNLPk4PMLpcBwQkk7IpzlkuTu/3b3u9y9l6RLJLVU4IfLSEoIDrM8TlKr0FBgM2uryP89LAsNYZXUWVKiJLn7NgX+MY8kzht1x3mj7jhv1B3njbrjvFF3nDfqjvMGEIeSGrqAKLpa0h/NLFX/HUZ1nAK/cbg6wll/UaAD/3kl656KcNZqMxvo7vMlyd0PSbrGzO6WNDTCWZvMrJW773b3r66RM7OOkg5GOEvu/jcze0PSXWY2SpH/xydko6TfBZ9vNbNO7r4x+A9eaYSzxki6XcFhpJJ+amZ7FBjGemWEsw77B9Tdl0paKukXEc76jQK/NZGk/5H0uJm5pBxJd0Y4615Ji82sWIHffN0gBa65lbQkwllXi/NGXXHeqDvOG3XHeaPuOG/UHeeNuqvsvCEFLv3gvAE0UU12ToqQ4D9wXRQ4oa5z900NXFKdBDvkcvd9lazr4u7r66GGoxQYsrg5ihm5kvq7+5+ilVFJZqKkFu6+N0rHb6PAb6a+jNLxW7n77mgcu4q8RAXOIaVmliTpJAWGYkb6t3kK/mbjBEmrgr/RiyrOG1GpgfNG7Y7PeaP2WZw36oDzRvRw3jjiPM4bQJxpypd7hHzp7ovcfWHof3yrMNtypJhZs0qWRTTL3fe5+77KsiQdiGRWSMWs4HDFsmhmufuS0A8M9fXfK/hbopRoZbn7jvI/METh78buUFYl+RH/DIOflwWflwb/H9sYpaytkpZU/IEhGlkWmEl+s7svUuC3Qp3LDf+MeFYwT2bW3My+EY2s4JeMA5VlReOLRmXvS4EfyCP+RaN8lqRCSR/W538vSW2i8UUjlOXuOyTtiuLfjd319fcwFKn//vuREHwelX+7FLg04iN3314P70vuvin084aki6OVU5GZ3RiN44Z+3qgsq54aFDe6+55oNiikwM8bqsefh4Pv61C0GhSSFPp5I4p/Nw5rUEQrK5h3qNylR6WS8qPRoAgef2vw55ntUnTfVzBvU/DnjSIFft44Opp5QGPRZC/3sMA1eE9KamFmiyWNDl53KElvSIrkrNRkkUVW08i6UNJUBa5LvV7SLyXtkZRpZje4+8tkkUUWWRWybq5k8S/NrKUkufvvKlkfqSyT9Auy6pQl8d+LrPrPmuLuNwafn67A5VqrJfUws+vcPdJzewCNSpNtUkj6raTvuPsKMxsmaY6ZXenu/1LkJ78hiyyymkbWBEm5kpIVuP70FHcvNrPjFZhoLWJfbMgii6wmk3WnApMFrtB/z0mJklIjmEEWWWQ1raxvlnt+l6QL3f0jMztBgVus0qRAfPMYuMVINB4KDA0v/7qXApMJXaTA8E+yyCKLrIpZi8s9X15hHVlkkUVWZVldJc2UdL+klOCy/0QygyyyyGpyWR+Ve17xlrGLo5HJg0djejTlOSlKLDAZjSTJ3VdIOkeB366cSBZZZJFVGfvv/Ab/U25ZoqIw+ztZZJHV+LPcfa27D5P0ngIjvYZF8vhkkUVW08uSlGVmS81smQKXoR0jfXXeqmzeOSC+NHSXJFoPSecqcP/risuPlnQ7WWSRRVYlxzxFUstKlmdIuoIsssgiq4bcoyQ9IOntaGWQRRZZjT9LgVsJl380Dy4/VtLF0X5/PHjE+qPJ34IUAAAAAAA0Dk32cg8za2Nm95lZkZl9GXwUBpcdTRZZZJFFFllkkRXhrK1kkUUWWUeYFdVzFNAYNdkmhQIz426T9C13b+vubSWdFVz2PFlkkUUWWWSRRVaEs9LIIossso4wK9rnKKDRabKXe5hZsbv3PNJ1ZJFFFllkkUUWWWSRRRZZTSELaIya8kiKT83sVjPrEFpgZh3MbJykz8giiyyyyCKLLLLIIossspp4FtDoNOUmxaWS2kqab2bbzGyrpLckpUm6hCyyyCKLLLLIIossssgiq4lnAY2PN9BtRerjISlLgdsXtqqwfDBZZJFFFllkkUUWWWSRRVZTz+LBo7E9GryAqL0xaaykYkkvSVoj6YJy6z4iiyyyyCKLLLLIIosssshqylk8eDTGR4MXELU3Ji1TsDMpKUPSQkk3BV8vJossssgiiyyyyCKLLLLIaspZPHg0xkeSmq5Ed98tSe6+xsy+JWmmmR0vycgiiyyyyCKLLLLIIossspp4FtDoNOWJMzeZ2UmhF8ETwRBJx0rqQxZZZJFFFllkkUU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- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "df_plot(tot_land_cap,'Area in Thousand hectares','Area by land cover type')\n",
- "df_plot(tot_crop_cap,'Area in Thousand hectares','Total cropland area')\n",
- "df_plot(tot_crop_prod,'Production in Million Tonnes','Crop Production')\n",
- "df_plot(elec_gen,'Peta Joules','Electrciity generation')\n",
- "df_plot(pwr_cap,'GigaWatts (GW)','Power Generation Capacity')\n",
- "df_plot(wat_sup_req,'Billion Cubic Meters (BCM)','Water supply requirement')\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 298,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# matplotlib subplots\n",
- "\n",
- "fig, axes = plt.subplots(nrows=2, ncols=2,figsize=(10,5))\n",
- "fg1=tot_land_cap.plot(x='YEAR',kind='bar',stacked=True, ax=axes[0,0],legend=False,ylabel='Area',color=[color_dict[x] for x in tot_land_cap.columns if x != 'YEAR']); axes[0,0].set_title('Area by land cover type')\n",
- "fg2=tot_crop_cap.plot(x='YEAR',kind='bar',stacked=True, ax=axes[0,1],legend=False,color=[color_dict[x] for x in tot_crop_cap.columns if x != 'YEAR']); axes[0,1].set_title('Total cropland area')\n",
- "fg3=tot_crop_prod.plot(x='YEAR',kind='bar',stacked=True, ax=axes[1,0],legend=False,ylabel='Crop production',color=[color_dict[x] for x in tot_crop_cap.columns if x != 'YEAR']); axes[1,0].set_title('Crop Production-Million TOnnes')\n",
- "#fg4=tot_crop_cap.plot(x='YEAR',kind='bar',stacked=True, ax=axes[1,1],legend=False,ylabel='Area',color=[color_dict[x] for x in tot_crop_cap.columns if x != 'YEAR']); axes[1,1].set_title('Total cropland area')\n",
- "axes[0,0].set_xticks(range(0,40,10))\n",
- "axes[0,0].set_ylim(0,16000)\n",
- "axes[0,1].set_xticks(range(0,40,10))\n",
- "axes[0,1].set_ylim(0,650)\n",
- "axes[1,0].set_xticks(range(0,40,10))\n",
- "axes[1,0].set_ylim(0,13)\n",
- "axes[1,1].set_xticks(range(0,40,10))\n",
- "axes[1,1].set_ylim(0,650)\n",
- "fig.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)\n",
- "plt.tight_layout()\n",
- "#plt.savefig(\"land_subplots.pdf\")\n",
- "\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 264,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "#\n",
- "fig, axes = plt.subplots(1,2,figsize=(15,5))\n",
- "fg1=tot_crop_cap.plot(x='YEAR',kind='bar',stacked=True, ax=axes[0],legend=False,ylabel='Area-Thousand Hectares',color=[color_dict[x] for x in tot_crop_cap.columns if x != 'YEAR']) \n",
- "fg2=tot_land_cap.plot(x='YEAR',kind='bar',stacked=True, ax=axes[1],legend=True,color=[color_dict[x] for x in tot_land_cap.columns if x != 'YEAR']) \n",
- "axes[0].set_xticks(range(0,40,10))\n",
- "axes[0].set_ylim(0,650)\n",
- "axes[0].set_title('Total cropland area')\n",
- "axes[1].set_xticks(range(0,40,10))\n",
- "axes[1].set_ylim(0,16000)\n",
- "axes[1].set_title('Area by land cover type')\n",
- "axes[1].legend(bbox_to_anchor=(1, 0.8))\n",
- "#fig.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)\n",
- "plt.tight_layout()\n",
- "plt.savefig(\"Land_area_subplots.pdf\")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 268,
- "metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "c:\\users\\vsri\\anaconda3\\envs\\myenv\\lib\\site-packages\\ipykernel_launcher.py:7: UserWarning:\n",
- "\n",
- "This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
- "\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "import matplotlib.gridspec as gridspec\n",
- "gs = gridspec.GridSpec(2, 4)\n",
- "gs.update(wspace=0.5)\n",
- "ax1 = plt.subplot(gs[0, :2], )\n",
- "ax2 = plt.subplot(gs[0, 2:])\n",
- "ax3 = plt.subplot(gs[1, 1:3])\n",
- "\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "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": "3.7.10"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/TotalCapacityAnnual.csv b/TotalCapacityAnnual.csv
deleted file mode 100644
index f22ac68..0000000
--- a/TotalCapacityAnnual.csv
+++ /dev/null
@@ -1,1167 +0,0 @@
-REGION,TECHNOLOGY,YEAR,VALUE
-"CLEWSity","AGRCRP001",2020,223.882352941176
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-"CLEWSity","AGRCRP001",2025,292.2637443254
-"CLEWSity","AGRCRP001",2026,299.473497266577
-"CLEWSity","AGRCRP001",2027,328.0642793254
-"CLEWSity","AGRCRP001",2028,322.504679325402
-"CLEWSity","AGRCRP001",2029,319.735044447604
-"CLEWSity","AGRCRP001",2030,311.381079325401
-"CLEWSity","AGRCRP001",2031,305.822771633094
-"CLEWSity","AGRCRP001",2032,300.263463940787
-"CLEWSity","AGRCRP001",2033,301.431948684607
-"CLEWSity","AGRCRP001",2034,321.544344178731
-"CLEWSity","AGRCRP001",2035,304.422419389659
-"CLEWSity","AGRCRP001",2036,321.252045954748
-"CLEWSity","AGRCRP001",2037,301.384150814341
-"CLEWSity","AGRCRP001",2038,290.668556091977
-"CLEWSity","AGRCRP001",2039,262.699310093308
-"CLEWSity","AGRCRP001",2040,252.69992326293
-"CLEWSity","AGRCRP001",2041,275.142685042913
-"CLEWSity","AGRCRP001",2042,310.108862146985
-"CLEWSity","AGRCRP001",2043,339.174756264632
-"CLEWSity","AGRCRP001",2044,346.835092674696
-"CLEWSity","AGRCRP001",2045,315.231320968893
-"CLEWSity","AGRCRP001",2046,382.095138059929
-"CLEWSity","AGRCRP001",2047,421.36552041287
-"CLEWSity","AGRCRP001",2048,454.496345623799
-"CLEWSity","AGRCRP001",2049,464.358369414381
-"CLEWSity","AGRCRP001",2050,403.835893631165
-"CLEWSity","AGRCRP001",2051,436.983198690939
-"CLEWSity","AGRCRP001",2052,484.721334634368
-"CLEWSity","AGRCRP001",2053,532.452472978019
-"CLEWSity","AGRCRP001",2054,565.606775637569
-"CLEWSity","AGRCRP001",2055,592.93408
-"CLEWSity","AGRPST001",2020,3587
-"CLEWSity","AGRPST001",2021,3658.17469879518
-"CLEWSity","AGRPST001",2022,3729.90361445783
-"CLEWSity","AGRPST001",2023,3801.63253012048
-"CLEWSity","AGRPST001",2024,3873.36144578313
-"CLEWSity","AGRPST001",2025,3969
-"CLEWSity","AGRPST001",2026,4040.72891566265
-"CLEWSity","AGRPST001",2027,4112.4578313253
-"CLEWSity","AGRPST001",2028,4208.09638554217
-"CLEWSity","AGRPST001",2029,4279.82530120482
-"CLEWSity","AGRPST001",2030,4375.46385542169
-"CLEWSity","AGRPST001",2031,4471.10240963855
-"CLEWSity","AGRPST001",2032,4542.8313253012
-"CLEWSity","AGRPST001",2033,4638.46987951807
-"CLEWSity","AGRPST001",2034,4734.10843373494
-"CLEWSity","AGRPST001",2035,4829.74698795181
-"CLEWSity","AGRPST001",2036,4925.38554216867
-"CLEWSity","AGRPST001",2037,5021.02409638554
-"CLEWSity","AGRPST001",2038,5116.66265060241
-"CLEWSity","AGRPST001",2039,5236.21084337349
-"CLEWSity","AGRPST001",2040,5331.84939759036
-"CLEWSity","AGRPST001",2041,5427.48795180723
-"CLEWSity","AGRPST001",2042,5547.03614457831
-"CLEWSity","AGRPST001",2043,5666.5843373494
-"CLEWSity","AGRPST001",2044,5762.22289156626
-"CLEWSity","AGRPST001",2045,5881.77108433735
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-"CLEWSity","LNDOTH001",2053,3866.14174344436
-"CLEWSity","LNDOTH001",2054,3707.97802976612
-"CLEWSity","LNDOTH001",2055,3549.6182376565
-"CLEWSity","MINGAS001",2020,157.04928
-"CLEWSity","MINGAS001",2021,157.04928
-"CLEWSity","MINGAS001",2022,157.04928
-"CLEWSity","MINGAS001",2023,157.04928
-"CLEWSity","MINGAS001",2024,157.04928
-"CLEWSity","MINGAS001",2025,157.04928
-"CLEWSity","MINGAS001",2026,188.459136
-"CLEWSity","MINGAS001",2027,188.459136
-"CLEWSity","MINGAS001",2028,188.459136
-"CLEWSity","MINGAS001",2029,188.459136
-"CLEWSity","MINGAS001",2030,172.754208
-"CLEWSity","MINGAS001",2031,188.459136
-"CLEWSity","MINGAS001",2032,204.164064
-"CLEWSity","MINGAS001",2033,219.868992
-"CLEWSity","MINGAS001",2034,235.57392
-"CLEWSity","MINGAS001",2035,251.278848
-"CLEWSity","MINGAS001",2036,266.983776
-"CLEWSity","MINGAS001",2037,282.688704
-"CLEWSity","MINGAS001",2038,298.393632
-"CLEWSity","MINGAS001",2039,314.09856
-"CLEWSity","MINGAS001",2040,266.983776
-"CLEWSity","MINGAS001",2041,282.688704
-"CLEWSity","MINGAS001",2042,298.393632
-"CLEWSity","MINGAS001",2043,314.09856
-"CLEWSity","MINGAS001",2044,329.803488
-"CLEWSity","MINGAS001",2045,345.508416
-"CLEWSity","MINGAS001",2046,298.393632
-"CLEWSity","MINGAS001",2047,314.09856
-"CLEWSity","MINGAS001",2048,329.803488
-"CLEWSity","MINGAS001",2049,345.508416
-"CLEWSity","MINGAS001",2050,361.213344
-"CLEWSity","MINGAS001",2051,376.918272
-"CLEWSity","MINGAS001",2052,392.6232
-"CLEWSity","MINGAS001",2053,408.328128
-"CLEWSity","MINGAS001",2054,424.033056
-"CLEWSity","MINGAS001",2055,439.737984
-"CLEWSity","MINHYD001",2020,35.32032
-"CLEWSity","MINHYD001",2021,35.32032
-"CLEWSity","MINHYD001",2022,35.32032
-"CLEWSity","MINHYD001",2023,35.32032
-"CLEWSity","MINHYD001",2024,35.32032
-"CLEWSity","MINHYD001",2025,35.32032
-"CLEWSity","MINHYD001",2026,35.32032
-"CLEWSity","MINHYD001",2027,39.73536
-"CLEWSity","MINHYD001",2028,39.73536
-"CLEWSity","MINHYD001",2029,44.1504
-"CLEWSity","MINHYD001",2030,48.56544
-"CLEWSity","MINHYD001",2031,52.98048
-"CLEWSity","MINHYD001",2032,57.39552
-"CLEWSity","MINHYD001",2033,61.81056
-"CLEWSity","MINHYD001",2034,66.2256
-"CLEWSity","MINHYD001",2035,67.133531356417
-"CLEWSity","MINHYD001",2036,67.133531356417
-"CLEWSity","MINHYD001",2037,67.376205530315
-"CLEWSity","MINHYD001",2038,71.791245530315
-"CLEWSity","MINHYD001",2039,76.206285530315
-"CLEWSity","MINHYD001",2040,80.621325530315
-"CLEWSity","MINHYD001",2041,85.036365530315
-"CLEWSity","MINHYD001",2042,89.451405530315
-"CLEWSity","MINHYD001",2043,91.06344355093
-"CLEWSity","MINHYD001",2044,92.2997456627765
-"CLEWSity","MINHYD001",2045,96.7147856627765
-"CLEWSity","MINHYD001",2046,101.129825662776
-"CLEWSity","MINHYD001",2047,104.099123686751
-"CLEWSity","MINHYD001",2048,104.916535016295
-"CLEWSity","MINHYD001",2049,105.96096
-"CLEWSity","MINHYD001",2050,105.96096
-"CLEWSity","MINHYD001",2051,105.96096
-"CLEWSity","MINHYD001",2052,105.96096
-"CLEWSity","MINHYD001",2053,105.96096
-"CLEWSity","MINHYD001",2054,105.96096
-"CLEWSity","MINHYD001",2055,105.96096
-"CLEWSity","MINLND001",2020,15000
-"CLEWSity","MINLND001",2021,15000
-"CLEWSity","MINLND001",2022,15000
-"CLEWSity","MINLND001",2023,15000
-"CLEWSity","MINLND001",2024,15000
-"CLEWSity","MINLND001",2025,15000
-"CLEWSity","MINLND001",2026,15000
-"CLEWSity","MINLND001",2027,15000
-"CLEWSity","MINLND001",2028,15000
-"CLEWSity","MINLND001",2029,15000
-"CLEWSity","MINLND001",2030,15000
-"CLEWSity","MINLND001",2031,15000
-"CLEWSity","MINLND001",2032,15000
-"CLEWSity","MINLND001",2033,15000
-"CLEWSity","MINLND001",2034,15000
-"CLEWSity","MINLND001",2035,15000
-"CLEWSity","MINLND001",2036,15000
-"CLEWSity","MINLND001",2037,15000
-"CLEWSity","MINLND001",2038,15000
-"CLEWSity","MINLND001",2039,15000
-"CLEWSity","MINLND001",2040,15000
-"CLEWSity","MINLND001",2041,15000
-"CLEWSity","MINLND001",2042,15000
-"CLEWSity","MINLND001",2043,15000
-"CLEWSity","MINLND001",2044,15000
-"CLEWSity","MINLND001",2045,15000
-"CLEWSity","MINLND001",2046,15000
-"CLEWSity","MINLND001",2047,15000
-"CLEWSity","MINLND001",2048,15000
-"CLEWSity","MINLND001",2049,15000
-"CLEWSity","MINLND001",2050,15000
-"CLEWSity","MINLND001",2051,15000
-"CLEWSity","MINLND001",2052,15000
-"CLEWSity","MINLND001",2053,15000
-"CLEWSity","MINLND001",2054,15000
-"CLEWSity","MINLND001",2055,15000
-"CLEWSity","MINPRC001",2020,341.25
-"CLEWSity","MINPRC001",2021,341.25
-"CLEWSity","MINPRC001",2022,341.25
-"CLEWSity","MINPRC001",2023,341.25
-"CLEWSity","MINPRC001",2024,341.25
-"CLEWSity","MINPRC001",2025,341.25
-"CLEWSity","MINPRC001",2026,341.25
-"CLEWSity","MINPRC001",2027,341.25
-"CLEWSity","MINPRC001",2028,341.25
-"CLEWSity","MINPRC001",2029,341.25
-"CLEWSity","MINPRC001",2030,341.25
-"CLEWSity","MINPRC001",2031,341.25
-"CLEWSity","MINPRC001",2032,341.25
-"CLEWSity","MINPRC001",2033,341.25
-"CLEWSity","MINPRC001",2034,341.25
-"CLEWSity","MINPRC001",2035,341.25
-"CLEWSity","MINPRC001",2036,341.25
-"CLEWSity","MINPRC001",2037,341.25
-"CLEWSity","MINPRC001",2038,341.25
-"CLEWSity","MINPRC001",2039,341.25
-"CLEWSity","MINPRC001",2040,341.25
-"CLEWSity","MINPRC001",2041,341.25
-"CLEWSity","MINPRC001",2042,341.25
-"CLEWSity","MINPRC001",2043,341.25
-"CLEWSity","MINPRC001",2044,341.25
-"CLEWSity","MINPRC001",2045,341.25
-"CLEWSity","MINPRC001",2046,341.25
-"CLEWSity","MINPRC001",2047,341.25
-"CLEWSity","MINPRC001",2048,341.25
-"CLEWSity","MINPRC001",2049,341.25
-"CLEWSity","MINPRC001",2050,341.25
-"CLEWSity","MINPRC001",2051,341.25
-"CLEWSity","MINPRC001",2052,341.25
-"CLEWSity","MINPRC001",2053,341.25
-"CLEWSity","MINPRC001",2054,341.25
-"CLEWSity","MINPRC001",2055,341.25
-"CLEWSity","MINSOL001",2020,1.971
-"CLEWSity","MINSOL001",2021,1.971
-"CLEWSity","MINSOL001",2022,1.971
-"CLEWSity","MINSOL001",2023,1.971
-"CLEWSity","MINSOL001",2024,1.971
-"CLEWSity","MINSOL001",2025,1.971
-"CLEWSity","MINSOL001",2026,3.942
-"CLEWSity","MINSOL001",2027,5.913
-"CLEWSity","MINSOL001",2028,7.884
-"CLEWSity","MINSOL001",2029,9.855
-"CLEWSity","MINSOL001",2030,11.826
-"CLEWSity","MINSOL001",2031,13.797
-"CLEWSity","MINSOL001",2032,15.768
-"CLEWSity","MINSOL001",2033,17.739
-"CLEWSity","MINSOL001",2034,19.71
-"CLEWSity","MINSOL001",2035,20.6955
-"CLEWSity","MINSOL001",2036,22.6665
-"CLEWSity","MINSOL001",2037,24.6375
-"CLEWSity","MINSOL001",2038,26.6085
-"CLEWSity","MINSOL001",2039,28.5795
-"CLEWSity","MINSOL001",2040,30.5505
-"CLEWSity","MINSOL001",2041,32.5215
-"CLEWSity","MINSOL001",2042,34.4925
-"CLEWSity","MINSOL001",2043,36.4635
-"CLEWSity","MINSOL001",2044,38.4345
-"CLEWSity","MINSOL001",2045,40.4055
-"CLEWSity","MINSOL001",2046,42.3765
-"CLEWSity","MINSOL001",2047,44.3475
-"CLEWSity","MINSOL001",2048,46.3185
-"CLEWSity","MINSOL001",2049,48.2895
-"CLEWSity","MINSOL001",2050,71.0423532173068
-"CLEWSity","MINSOL001",2051,80.4168
-"CLEWSity","MINSOL001",2052,80.4168
-"CLEWSity","MINSOL001",2053,80.4168
-"CLEWSity","MINSOL001",2054,80.4168
-"CLEWSity","MINSOL001",2055,80.4168
-"CLEWSity","MINWND001",2020,1.971
-"CLEWSity","MINWND001",2021,1.971
-"CLEWSity","MINWND001",2022,1.971
-"CLEWSity","MINWND001",2023,1.971
-"CLEWSity","MINWND001",2024,1.971
-"CLEWSity","MINWND001",2025,1.971
-"CLEWSity","MINWND001",2026,3.942
-"CLEWSity","MINWND001",2027,5.913
-"CLEWSity","MINWND001",2028,7.884
-"CLEWSity","MINWND001",2029,9.855
-"CLEWSity","MINWND001",2030,11.826
-"CLEWSity","MINWND001",2031,13.797
-"CLEWSity","MINWND001",2032,15.768
-"CLEWSity","MINWND001",2033,17.739
-"CLEWSity","MINWND001",2034,19.71
-"CLEWSity","MINWND001",2035,20.6955
-"CLEWSity","MINWND001",2036,22.6665
-"CLEWSity","MINWND001",2037,24.6375
-"CLEWSity","MINWND001",2038,21.2640536615494
-"CLEWSity","MINWND001",2039,21.9900670511639
-"CLEWSity","MINWND001",2040,30.5505
-"CLEWSity","MINWND001",2041,32.5215
-"CLEWSity","MINWND001",2042,34.4925
-"CLEWSity","MINWND001",2043,36.4635
-"CLEWSity","MINWND001",2044,38.4345
-"CLEWSity","MINWND001",2045,39.2181028981048
-"CLEWSity","MINWND001",2046,42.3765
-"CLEWSity","MINWND001",2047,44.3475
-"CLEWSity","MINWND001",2048,46.3185
-"CLEWSity","MINWND001",2049,48.2895
-"CLEWSity","MINWND001",2050,50.2605
-"CLEWSity","MINWND001",2051,50.2605
-"CLEWSity","MINWND001",2052,50.2605
-"CLEWSity","MINWND001",2053,50.2605
-"CLEWSity","MINWND001",2054,50.2605
-"CLEWSity","MINWND001",2055,50.2605
-"CLEWSity","PRCBAG001",2020,31.6032
-"CLEWSity","PRCBAG001",2021,33.4960918169491
-"CLEWSity","PRCBAG001",2022,37.4517416761922
-"CLEWSity","PRCBAG001",2023,37.4517416761922
-"CLEWSity","PRCBAG001",2024,44.2091180761922
-"CLEWSity","PRCBAG001",2025,57.7238708761922
-"CLEWSity","PRCBAG001",2026,57.7238708761922
-"CLEWSity","PRCBAG001",2027,71.2386236761922
-"CLEWSity","PRCBAG001",2028,71.2386236761922
-"CLEWSity","PRCBAG001",2029,71.2386236761922
-"CLEWSity","PRCBAG001",2030,71.2377020761922
-"CLEWSity","PRCBAG001",2031,71.2377020761922
-"CLEWSity","PRCBAG001",2032,71.2377020761922
-"CLEWSity","PRCBAG001",2033,71.2377020761922
-"CLEWSity","PRCBAG001",2034,71.2377020761922
-"CLEWSity","PRCBAG001",2035,69.1309052761922
-"CLEWSity","PRCBAG001",2036,65.1312166592432
-"CLEWSity","PRCBAG001",2037,59.0685204
-"CLEWSity","PRCBAG001",2038,56.9617236
-"CLEWSity","PRCBAG001",2039,48.0975504
-"CLEWSity","PRCBAG001",2040,79.0991631662067
-"CLEWSity","PRCBAG001",2041,79.0991631662067
-"CLEWSity","PRCBAG001",2042,79.0991631662067
-"CLEWSity","PRCBAG001",2043,76.9921167662067
-"CLEWSity","PRCBAG001",2044,74.8853199662067
-"CLEWSity","PRCBAG001",2045,66.2629009013798
-"CLEWSity","PRCBAG001",2046,145.238063068766
-"CLEWSity","PRCBAG001",2047,145.238063068766
-"CLEWSity","PRCBAG001",2048,145.238063068766
-"CLEWSity","PRCBAG001",2049,148.85440210427
-"CLEWSity","PRCBAG001",2050,152.354713742959
-"CLEWSity","PRCBAG001",2051,167.228159371651
-"CLEWSity","PRCBAG001",2052,189.105434224497
-"CLEWSity","PRCBAG001",2053,210.979119829449
-"CLEWSity","PRCBAG001",2054,225.856154706033
-"CLEWSity","PRCBAG001",2055,237.936
-"CLEWSity","PRCCRP002",2020,0.875531914893617
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-"CLEWSity","PRCCRP002",2022,1.03755933278458
-"CLEWSity","PRCCRP002",2023,1.03755933278458
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-"CLEWSity","PRCCRP002",2025,1.59917638730586
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-"CLEWSity","PRCCRP002",2027,1.97358775698671
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-"CLEWSity","PRCCRP002",2030,1.97358775698671
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-"CLEWSity","PRCCRP002",2046,4.0236608784565
-"CLEWSity","PRCCRP002",2047,4.0236608784565
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-"CLEWSity","PRCCRP002",2049,4.12384757602698
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-"CLEWSity","PRCCRP002",2051,4.6328723230178
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-"CLEWSity","PRCCRP002",2053,5.84494458747364
-"CLEWSity","PRCCRP002",2054,6.25709648454214
-"CLEWSity","PRCCRP002",2055,6.59175531914894
-"CLEWSity","PRCCTL001",2020,0.150023179642227
-"CLEWSity","PRCCTL001",2021,0.153
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-"CLEWSity","PWRBIO001",2020,0.350763352475082
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-"CLEWSity","PWRBIO001",2038,0.790665983282272
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-"CLEWSity","PWRBIO001",2040,0.877920199541571
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-"CLEWSity","PWRDSL001",2020,1
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-"CLEWSity","PWRGAS001",2020,2.5
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-"CLEWSity","PWRGAS001",2040,4.25
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-"CLEWSity","PWRGAS001",2044,5.25
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-"CLEWSity","PWRHYD001",2020,2
-"CLEWSity","PWRHYD001",2021,2
-"CLEWSity","PWRHYD001",2022,2
-"CLEWSity","PWRHYD001",2023,2
-"CLEWSity","PWRHYD001",2024,2
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-"CLEWSity","PWRHYD001",2028,2.25
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-"CLEWSity","PWRHYD001",2035,3.80141127579915
-"CLEWSity","PWRHYD001",2036,3.80141127579915
-"CLEWSity","PWRHYD001",2037,3.81515261075296
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-"CLEWSity","PWRHYD001",2040,4.56515261075296
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-"CLEWSity","PWRHYD001",2042,5.06515261075296
-"CLEWSity","PWRHYD001",2043,5.15643366486657
-"CLEWSity","PWRHYD001",2044,5.22643881271611
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-"CLEWSity","PWRHYD001",2046,5.72643881271611
-"CLEWSity","PWRHYD001",2047,5.89457421035544
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-"CLEWSity","PWRHYD001",2055,6
-"CLEWSity","PWRSOL001",2020,0.25
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-"CLEWSity","PWRTRN001",2020,5
-"CLEWSity","PWRTRN001",2021,5
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-"CLEWSity","PWRWND001",2020,0.25
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-"CLEWSity","WATAGR001",2020,0.35213
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-"CLEWSity","WATELC001",2020,0.0504741981005944
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