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@wholmgren
Last active April 30, 2019 21:40
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notebook to test solarforecastarbiter-core persistence forecast implementions
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import datetime\n",
"from functools import partial\n",
"\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pvlib"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"mpl.rcParams['figure.figsize'] = [10.0, 7.0]\n",
"mpl.rcParams['figure.dpi'] = 80\n",
"mpl.rcParams['savefig.dpi'] = 150\n",
"\n",
"mpl.rcParams['font.size'] = 14\n",
"mpl.rcParams['legend.fontsize'] = 'large'\n",
"mpl.rcParams['figure.titlesize'] = 'medium'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from importlib import reload"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from solarforecastarbiter import datamodel, pvmodel\n",
"from solarforecastarbiter.reference_forecasts import persistence"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def load_data_base(data, observation, data_start, data_end):\n",
" # slice doesn't care about closed or interval label \n",
" # so here we manually adjust start and end times\n",
" if 'instant' in observation.interval_label:\n",
" pass\n",
" elif observation.interval_label == 'ending':\n",
" data_start += pd.Timedelta('1s')\n",
" elif observation.interval_label == 'beginning':\n",
" data_end -= pd.Timedelta('1s')\n",
" return data[data_start:data_end]\n",
"\n",
"\n",
"def _site_metadata():\n",
" metadata = datamodel.Site(\n",
" name='Albuquerque Baseline', latitude=35.05, longitude=-106.54,\n",
" elevation=1657.0, timezone='America/Denver', network='Sandia')\n",
" return metadata\n",
"\n",
"site = _site_metadata()\n",
"tz = 'America/Phoenix'\n",
"data_index = pd.date_range(\n",
" start='20190404', end='20190406', freq='5min', tz=tz)\n",
"solar_position = pvmodel.calculate_solar_position(\n",
" site.latitude, site.longitude, site.elevation, data_index)\n",
"data_cs = pvmodel.calculate_clearsky(\n",
" site.latitude, site.longitude, site.elevation,\n",
" solar_position['apparent_zenith'])\n",
"data = data_cs['ghi'] * 0.8\n",
"\n",
"data_cs_1h = data_cs.resample('1h').mean()\n",
"data_1h = data.resample('1h').mean()\n",
"\n",
"\n",
"interval_label = 'instant'\n",
"\n",
"def ghi_observation_metadata(site_metadata):\n",
" ghi_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline GHI', variable='ghi',\n",
" value_type='instantaneous', interval_length=pd.Timedelta('5min'),\n",
" interval_label=interval_label, site=site_metadata, uncertainty=1)\n",
" return ghi_meta\n",
"\n",
"observation = ghi_observation_metadata(site)\n",
"load_data = partial(load_data_base, data)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 13:00:00-07:00 802.659843\n",
"2019-04-05 13:05:00-07:00 802.659843\n",
"2019-04-05 13:10:00-07:00 802.659843\n",
"2019-04-05 13:15:00-07:00 802.659843\n",
"2019-04-05 13:20:00-07:00 802.659843\n",
"2019-04-05 13:25:00-07:00 802.659843\n",
"2019-04-05 13:30:00-07:00 802.659843\n",
"2019-04-05 13:35:00-07:00 802.659843\n",
"2019-04-05 13:40:00-07:00 802.659843\n",
"2019-04-05 13:45:00-07:00 802.659843\n",
"2019-04-05 13:50:00-07:00 802.659843\n",
"2019-04-05 13:55:00-07:00 802.659843\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 13:00:00-07:00 787.057432\n",
"2019-04-05 13:05:00-07:00 782.819153\n",
"2019-04-05 13:10:00-07:00 778.193348\n",
"2019-04-05 13:15:00-07:00 773.182326\n",
"2019-04-05 13:20:00-07:00 767.788589\n",
"2019-04-05 13:25:00-07:00 762.014832\n",
"2019-04-05 13:30:00-07:00 755.863943\n",
"2019-04-05 13:35:00-07:00 749.339002\n",
"2019-04-05 13:40:00-07:00 742.443279\n",
"2019-04-05 13:45:00-07:00 735.180236\n",
"2019-04-05 13:50:00-07:00 727.553524\n",
"2019-04-05 13:55:00-07:00 719.566982\n",
"Freq: 5T, Name: ghi, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x10c31ae48>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# persistence forecasts with scalar index\n",
"# observation.interval_label = 'instantaneous', \n",
"# so data ranges are inclusive of start and end\n",
"data_start = pd.Timestamp('20190405 1200', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1259', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1359', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs['ghi'].plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 13:00:00-07:00 802.659843\n",
"Freq: H, dtype: float64\n",
"2019-04-05 13:00:00-07:00 756.75022\n",
"Freq: H, Name: ghi, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11ec524a8>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# persistence forecasts with scalar index\n",
"# observation.interval_label = 'instantaneous', \n",
"# so data ranges are inclusive of start and end\n",
"data_start = pd.Timestamp('20190405 1200', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1259', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1359', tz=tz)\n",
"interval_length = pd.Timedelta('60min') # only 1 point!\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"ax.step(data_1h.index, data_1h, alpha=0.2, c='k', where='post', label='obs 1h', zorder=0)\n",
"data_cs['ghi'].plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, style='o', label='pers')\n",
"fx_per_idx.plot(ax=ax, style='o', label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 00:00:00-07:00 0.0\n",
"2019-04-05 00:05:00-07:00 0.0\n",
"2019-04-05 00:10:00-07:00 0.0\n",
"2019-04-05 00:15:00-07:00 0.0\n",
"2019-04-05 00:20:00-07:00 0.0\n",
"2019-04-05 00:25:00-07:00 0.0\n",
"2019-04-05 00:30:00-07:00 0.0\n",
"2019-04-05 00:35:00-07:00 0.0\n",
"2019-04-05 00:40:00-07:00 0.0\n",
"2019-04-05 00:45:00-07:00 0.0\n",
"2019-04-05 00:50:00-07:00 0.0\n",
"2019-04-05 00:55:00-07:00 0.0\n",
"2019-04-05 01:00:00-07:00 0.0\n",
"2019-04-05 01:05:00-07:00 0.0\n",
"2019-04-05 01:10:00-07:00 0.0\n",
"2019-04-05 01:15:00-07:00 0.0\n",
"2019-04-05 01:20:00-07:00 0.0\n",
"2019-04-05 01:25:00-07:00 0.0\n",
"2019-04-05 01:30:00-07:00 0.0\n",
"2019-04-05 01:35:00-07:00 0.0\n",
"2019-04-05 01:40:00-07:00 0.0\n",
"2019-04-05 01:45:00-07:00 0.0\n",
"2019-04-05 01:50:00-07:00 0.0\n",
"2019-04-05 01:55:00-07:00 0.0\n",
"2019-04-05 02:00:00-07:00 0.0\n",
"2019-04-05 02:05:00-07:00 0.0\n",
"2019-04-05 02:10:00-07:00 0.0\n",
"2019-04-05 02:15:00-07:00 0.0\n",
"2019-04-05 02:20:00-07:00 0.0\n",
"2019-04-05 02:25:00-07:00 0.0\n",
" ... \n",
"2019-04-05 21:30:00-07:00 0.0\n",
"2019-04-05 21:35:00-07:00 0.0\n",
"2019-04-05 21:40:00-07:00 0.0\n",
"2019-04-05 21:45:00-07:00 0.0\n",
"2019-04-05 21:50:00-07:00 0.0\n",
"2019-04-05 21:55:00-07:00 0.0\n",
"2019-04-05 22:00:00-07:00 0.0\n",
"2019-04-05 22:05:00-07:00 0.0\n",
"2019-04-05 22:10:00-07:00 0.0\n",
"2019-04-05 22:15:00-07:00 0.0\n",
"2019-04-05 22:20:00-07:00 0.0\n",
"2019-04-05 22:25:00-07:00 0.0\n",
"2019-04-05 22:30:00-07:00 0.0\n",
"2019-04-05 22:35:00-07:00 0.0\n",
"2019-04-05 22:40:00-07:00 0.0\n",
"2019-04-05 22:45:00-07:00 0.0\n",
"2019-04-05 22:50:00-07:00 0.0\n",
"2019-04-05 22:55:00-07:00 0.0\n",
"2019-04-05 23:00:00-07:00 0.0\n",
"2019-04-05 23:05:00-07:00 0.0\n",
"2019-04-05 23:10:00-07:00 0.0\n",
"2019-04-05 23:15:00-07:00 0.0\n",
"2019-04-05 23:20:00-07:00 0.0\n",
"2019-04-05 23:25:00-07:00 0.0\n",
"2019-04-05 23:30:00-07:00 0.0\n",
"2019-04-05 23:35:00-07:00 0.0\n",
"2019-04-05 23:40:00-07:00 0.0\n",
"2019-04-05 23:45:00-07:00 0.0\n",
"2019-04-05 23:50:00-07:00 0.0\n",
"2019-04-05 23:55:00-07:00 0.0\n",
"Freq: 5T, Length: 288, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11ecd6e80>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast multiple intervals -- the previous day\n",
"# data duration == forecast duration, window == interval length\n",
"# observation.interval_label = 'instantaneous', \n",
"# so data ranges are inclusive of start and end\n",
"data_start = pd.Timestamp('20190404 0000', tz=tz)\n",
"data_end = pd.Timestamp('20190404 2359', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 0000', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_interval(\n",
" observation, data_start, data_end, forecast_start,\n",
" interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs['ghi'].plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def _powerplant_metadata():\n",
" modeling_params = datamodel.FixedTiltModelingParameters(\n",
" ac_capacity=1, dc_capacity=1, temperature_coefficient=-0.003,\n",
" dc_loss_factor=3, ac_loss_factor=0,\n",
" surface_tilt=30, surface_azimuth=180)\n",
" metadata = datamodel.SolarPowerPlant(\n",
" name='Albuquerque Baseline', latitude=35.05, longitude=-106.54,\n",
" elevation=1657.0, timezone='America/Denver', network='Sandia',\n",
" modeling_parameters=modeling_params)\n",
" return metadata\n",
"\n",
"site = _powerplant_metadata()\n",
"tz = 'America/Phoenix'\n",
"data_index = pd.date_range(\n",
" start='20190404', end='20190406', freq='5min', closed='right', tz=tz)\n",
"solar_position = pvmodel.calculate_solar_position(\n",
" site.latitude, site.longitude, site.elevation, data_index)\n",
"cs = pvmodel.calculate_clearsky(\n",
" site.latitude, site.longitude, site.elevation,\n",
" solar_position['apparent_zenith'])\n",
"data_cs = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], cs['ghi'], cs['dni'], cs['dhi']\n",
" )\n",
"ghi = cs['ghi'] * 0.8\n",
"dhi = cs['dhi'] * 1.3\n",
"dni = pvlib.irradiance.dni(ghi, dhi, solar_position['zenith'])\n",
"data = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], ghi, dni, dhi\n",
" )\n",
"\n",
"data_cs_1h = data_cs.resample('1h', closed='right').mean()\n",
"data_1h = data.resample('1h', closed='right').mean()\n",
"\n",
"load_data = partial(load_data_base, data)\n",
"\n",
"interval_label = 'ending'\n",
"\n",
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='instantaneous', interval_length=pd.Timedelta('5min'),\n",
" interval_label=interval_label, site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 13:05:00-07:00 0.80869\n",
"2019-04-05 13:10:00-07:00 0.80869\n",
"2019-04-05 13:15:00-07:00 0.80869\n",
"2019-04-05 13:20:00-07:00 0.80869\n",
"2019-04-05 13:25:00-07:00 0.80869\n",
"2019-04-05 13:30:00-07:00 0.80869\n",
"2019-04-05 13:35:00-07:00 0.80869\n",
"2019-04-05 13:40:00-07:00 0.80869\n",
"2019-04-05 13:45:00-07:00 0.80869\n",
"2019-04-05 13:50:00-07:00 0.80869\n",
"2019-04-05 13:55:00-07:00 0.80869\n",
"2019-04-05 14:00:00-07:00 0.80869\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 13:05:00-07:00 0.805282\n",
"2019-04-05 13:10:00-07:00 0.804375\n",
"2019-04-05 13:15:00-07:00 0.803381\n",
"2019-04-05 13:20:00-07:00 0.802297\n",
"2019-04-05 13:25:00-07:00 0.801124\n",
"2019-04-05 13:30:00-07:00 0.799856\n",
"2019-04-05 13:35:00-07:00 0.798494\n",
"2019-04-05 13:40:00-07:00 0.797033\n",
"2019-04-05 13:45:00-07:00 0.795470\n",
"2019-04-05 13:50:00-07:00 0.793802\n",
"2019-04-05 13:55:00-07:00 0.792025\n",
"2019-04-05 14:00:00-07:00 0.790135\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x10c631f60>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast with scalar index\n",
"# observation.interval_label = 'ending', \n",
"# so data ranges are exclusive of start and inclusive of end\n",
"data_start = pd.Timestamp('20190405 1200', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1400', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 14:00:00-07:00 0.80869\n",
"Freq: H, dtype: float64\n",
"2019-04-05 14:00:00-07:00 0.798606\n",
"Freq: H, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x10c7f8470>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast with scalar index\n",
"# observation.interval_label = 'ending', \n",
"# so data ranges are exclusive of start and inclusive of end\n",
"data_start = pd.Timestamp('20190405 1200', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1400', tz=tz)\n",
"interval_length = pd.Timedelta('60min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"ax.step(data_1h.index, data_1h, alpha=0.2, c='k', where='post', label='obs 1h', zorder=0)\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, style='o', label='pers')\n",
"fx_per_idx.plot(ax=ax, style='o', label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"def _powerplant_metadata():\n",
" modeling_params = datamodel.FixedTiltModelingParameters(\n",
" ac_capacity=1, dc_capacity=1.3, temperature_coefficient=-0.003,\n",
" dc_loss_factor=3, ac_loss_factor=0,\n",
" surface_tilt=30, surface_azimuth=180)\n",
" metadata = datamodel.SolarPowerPlant(\n",
" name='Albuquerque Baseline', latitude=35.05, longitude=-106.54,\n",
" elevation=1657.0, timezone='America/Denver', network='Sandia',\n",
" modeling_parameters=modeling_params)\n",
" return metadata\n",
"\n",
"site = _powerplant_metadata()\n",
"tz = 'America/Phoenix'\n",
"data_index = pd.date_range(\n",
" start='20190404', end='20190406', freq='5min', tz=tz)\n",
"solar_position = pvmodel.calculate_solar_position(\n",
" site.latitude, site.longitude, site.elevation, data_index)\n",
"cs = pvmodel.calculate_clearsky(\n",
" site.latitude, site.longitude, site.elevation,\n",
" solar_position['apparent_zenith'])\n",
"data_cs = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], cs['ghi'], cs['dni'], cs['dhi']\n",
" )\n",
"# not very realistic data, but good enough for now\n",
"ghi = cs['ghi'] * 0.8\n",
"dhi = cs['dhi'] * 1.3\n",
"dni = pvlib.irradiance.dni(ghi, dhi, solar_position['zenith'])\n",
"data = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], ghi, dni, dhi\n",
" )\n",
"\n",
"data_cs_1h = data_cs.resample('1h').mean()\n",
"data_1h = data.resample('1h').mean()\n",
"\n",
"load_data = partial(load_data_base, data)\n",
"\n",
"interval_label = 'beginning'\n",
"\n",
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='instantaneous', interval_length=pd.Timedelta('5min'),\n",
" interval_label=interval_label, site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10c87b128>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"cs.plot(style='--')\n",
"ghi.plot(color='C0', label='ghi')\n",
"dni.plot(color='C1', label='dni')\n",
"dhi.plot(color='C2', label='dhi')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 13:00:00-07:00 1.0\n",
"2019-04-05 13:05:00-07:00 1.0\n",
"2019-04-05 13:10:00-07:00 1.0\n",
"2019-04-05 13:15:00-07:00 1.0\n",
"2019-04-05 13:20:00-07:00 1.0\n",
"2019-04-05 13:25:00-07:00 1.0\n",
"2019-04-05 13:30:00-07:00 1.0\n",
"2019-04-05 13:35:00-07:00 1.0\n",
"2019-04-05 13:40:00-07:00 1.0\n",
"2019-04-05 13:45:00-07:00 1.0\n",
"2019-04-05 13:50:00-07:00 1.0\n",
"2019-04-05 13:55:00-07:00 1.0\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 13:00:00-07:00 1.0\n",
"2019-04-05 13:05:00-07:00 1.0\n",
"2019-04-05 13:10:00-07:00 1.0\n",
"2019-04-05 13:15:00-07:00 1.0\n",
"2019-04-05 13:20:00-07:00 1.0\n",
"2019-04-05 13:25:00-07:00 1.0\n",
"2019-04-05 13:30:00-07:00 1.0\n",
"2019-04-05 13:35:00-07:00 1.0\n",
"2019-04-05 13:40:00-07:00 1.0\n",
"2019-04-05 13:45:00-07:00 1.0\n",
"2019-04-05 13:50:00-07:00 1.0\n",
"2019-04-05 13:55:00-07:00 1.0\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11f43a898>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast with scalar index\n",
"# observation.interval_label = 'beginning', \n",
"# so data ranges are inclusive of start and exclusive of end\n",
"# this example is during clipping\n",
"window = pd.Timedelta('60min')\n",
"data_start = pd.Timestamp('20190405 1200', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1300', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1400', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 15:00:00-07:00 0.992412\n",
"2019-04-05 15:05:00-07:00 0.992412\n",
"2019-04-05 15:10:00-07:00 0.992412\n",
"2019-04-05 15:15:00-07:00 0.992412\n",
"2019-04-05 15:20:00-07:00 0.992412\n",
"2019-04-05 15:25:00-07:00 0.992412\n",
"2019-04-05 15:30:00-07:00 0.992412\n",
"2019-04-05 15:35:00-07:00 0.992412\n",
"2019-04-05 15:40:00-07:00 0.992412\n",
"2019-04-05 15:45:00-07:00 0.992412\n",
"2019-04-05 15:50:00-07:00 0.992412\n",
"2019-04-05 15:55:00-07:00 0.992412\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 15:00:00-07:00 0.992412\n",
"2019-04-05 15:05:00-07:00 0.992412\n",
"2019-04-05 15:10:00-07:00 0.992412\n",
"2019-04-05 15:15:00-07:00 0.992412\n",
"2019-04-05 15:20:00-07:00 0.992412\n",
"2019-04-05 15:25:00-07:00 0.992412\n",
"2019-04-05 15:30:00-07:00 0.992412\n",
"2019-04-05 15:35:00-07:00 0.992412\n",
"2019-04-05 15:40:00-07:00 0.992412\n",
"2019-04-05 15:45:00-07:00 0.992412\n",
"2019-04-05 15:50:00-07:00 0.992412\n",
"2019-04-05 15:55:00-07:00 0.992412\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11f61a320>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast with scalar index\n",
"# observation.interval_label = 'beginning', \n",
"# so data ranges are inclusive of start and exclusive of end.\n",
"# not doing well when clipping is transition is bad due to funky input data\n",
"window = pd.Timedelta('60min')\n",
"data_start = pd.Timestamp('20190405 1400', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1500', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1500', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1600', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:00:00-07:00 0.770781\n",
"2019-04-05 17:05:00-07:00 0.770781\n",
"2019-04-05 17:10:00-07:00 0.770781\n",
"2019-04-05 17:15:00-07:00 0.770781\n",
"2019-04-05 17:20:00-07:00 0.770781\n",
"2019-04-05 17:25:00-07:00 0.770781\n",
"2019-04-05 17:30:00-07:00 0.770781\n",
"2019-04-05 17:35:00-07:00 0.770781\n",
"2019-04-05 17:40:00-07:00 0.770781\n",
"2019-04-05 17:45:00-07:00 0.770781\n",
"2019-04-05 17:50:00-07:00 0.770781\n",
"2019-04-05 17:55:00-07:00 0.770781\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:00:00-07:00 0.646356\n",
"2019-04-05 17:05:00-07:00 0.614822\n",
"2019-04-05 17:10:00-07:00 0.580496\n",
"2019-04-05 17:15:00-07:00 0.543159\n",
"2019-04-05 17:20:00-07:00 0.502612\n",
"2019-04-05 17:25:00-07:00 0.458693\n",
"2019-04-05 17:30:00-07:00 0.411314\n",
"2019-04-05 17:35:00-07:00 0.360514\n",
"2019-04-05 17:40:00-07:00 0.306538\n",
"2019-04-05 17:45:00-07:00 0.249962\n",
"2019-04-05 17:50:00-07:00 0.191858\n",
"2019-04-05 17:55:00-07:00 0.134031\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11f7e4588>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# forecast with scalar index\n",
"# observation.interval_label = 'beginning', \n",
"# so data ranges are inclusive of start and exclusive of end.\n",
"# ok again once we're past clipping\n",
"data_start = pd.Timestamp('20190405 1600', tz=tz)\n",
"data_end = pd.Timestamp('20190405 1700', tz=tz)\n",
"forecast_start = pd.Timestamp('20190405 1700', tz=tz)\n",
"forecast_end = pd.Timestamp('20190405 1800', tz=tz)\n",
"interval_length = pd.Timedelta('5min')\n",
"\n",
"fx_per = persistence.persistence_scalar(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"fx_per_idx = persistence.persistence_scalar_index(\n",
" observation, data_start, data_end, forecast_start,\n",
" forecast_end, interval_length, interval_label, load_data=load_data)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"def _powerplant_metadata():\n",
" modeling_params = datamodel.FixedTiltModelingParameters(\n",
" ac_capacity=1, dc_capacity=1.3, temperature_coefficient=-0.003,\n",
" dc_loss_factor=3, ac_loss_factor=0,\n",
" surface_tilt=30, surface_azimuth=180)\n",
" metadata = datamodel.SolarPowerPlant(\n",
" name='Albuquerque Baseline', latitude=35.05, longitude=-106.54,\n",
" elevation=1657.0, timezone='America/Denver', network='Sandia',\n",
" modeling_parameters=modeling_params)\n",
" return metadata\n",
"\n",
"site = _powerplant_metadata()\n",
"tz = 'America/Phoenix'\n",
"data_index = pd.date_range(\n",
" start='20190404', end='20190406', freq='5min', tz=tz)\n",
"solar_position = pvmodel.calculate_solar_position(\n",
" site.latitude, site.longitude, site.elevation, data_index)\n",
"cs = pvmodel.calculate_clearsky(\n",
" site.latitude, site.longitude, site.elevation,\n",
" solar_position['apparent_zenith'])\n",
"data_cs = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], cs['ghi'], cs['dni'], cs['dhi']\n",
" )\n",
"# not very realistic data, but good enough for now\n",
"ghi = cs['ghi'] * 0.8\n",
"dhi = cs['dhi'] * 1.3\n",
"dni = pvlib.irradiance.dni(ghi, dhi, solar_position['zenith'])\n",
"data = pvmodel.irradiance_to_power(\n",
" site.modeling_parameters, solar_position['apparent_zenith'],\n",
" solar_position['azimuth'], ghi, dni, dhi\n",
" )\n",
"\n",
"data_cs_1h = data_cs.resample('1h').mean()\n",
"data_1h = data.resample('1h').mean()\n",
"\n",
"load_data = partial(load_data_base, data)\n",
"\n",
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('5min'),\n",
" interval_label='beginning', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='beginning', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"from solarforecastarbiter.reference_forecasts import main"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)\n",
"main = reload(main)\n",
"# change default load_data function\n",
"persistence._load_data = load_data"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:00:00-07:00 0.770781\n",
"2019-04-05 17:05:00-07:00 0.770781\n",
"2019-04-05 17:10:00-07:00 0.770781\n",
"2019-04-05 17:15:00-07:00 0.770781\n",
"2019-04-05 17:20:00-07:00 0.770781\n",
"2019-04-05 17:25:00-07:00 0.770781\n",
"2019-04-05 17:30:00-07:00 0.770781\n",
"2019-04-05 17:35:00-07:00 0.770781\n",
"2019-04-05 17:40:00-07:00 0.770781\n",
"2019-04-05 17:45:00-07:00 0.770781\n",
"2019-04-05 17:50:00-07:00 0.770781\n",
"2019-04-05 17:55:00-07:00 0.770781\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:00:00-07:00 0.646356\n",
"2019-04-05 17:05:00-07:00 0.614822\n",
"2019-04-05 17:10:00-07:00 0.580496\n",
"2019-04-05 17:15:00-07:00 0.543159\n",
"2019-04-05 17:20:00-07:00 0.502612\n",
"2019-04-05 17:25:00-07:00 0.458693\n",
"2019-04-05 17:30:00-07:00 0.411314\n",
"2019-04-05 17:35:00-07:00 0.360514\n",
"2019-04-05 17:40:00-07:00 0.306538\n",
"2019-04-05 17:45:00-07:00 0.249962\n",
"2019-04-05 17:50:00-07:00 0.191858\n",
"2019-04-05 17:55:00-07:00 0.134031\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11f858908>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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WTb5WNpaGfyRaxCkUhkWk21a3LbyZUhDexXN+v5/bbrsNay2PPfYY8fHxYX2eSKTEx8fzyCOP4Pf7ueOOO8Le9myaFtGJHEJhWES6bXVJYNesKfnhHRl+4okn+OSTT7jjjjuYMWNGWJ8lEmkzZszglltuYenSpTz33HNhfZYW0Ykcyqj5ds8UFBTYXbt2RboMkYg453+W0eBp5aMfzQ7bM+rr65kwYQItLS1s2rSJrKz+3fJZJBIqKiqYOHEiqampbNy4kdTU1LA968T/fofMlERe/7fTwvYMkUgzxpRYawu6c65GhkWkWxq9LWwuqw/7qPAvfvEL9u7dy7333qsgLDEjNzeXn/70p5SUlPDggw+G9VlF+ZlsKqun2dca1ueIOIXCsIh0y9rdtfgtTAnj4rkdO3bwwAMPUFRUxM033xy254gMRPPnz2fChAntbwjDpWh4Jq1+y4a9dWF7hoiTKAyLSLesLgn0Jg3nyPBdd92Fx+Ph17/+NQkJCWF7jshAlJiYyK9+9SsaGhpYsGBB2J5TlJ8BwJrdtWF7hoiTKAyLSLes3hXeMLx69WqefPJJzj77bM4555ywPENkoLv00ks57bTT+MMf/sC6devC8oyjhwd+hr/erc03REBhWES6aXVJDSOyUxiU5grL/f/rv/4Lay2/+MUvwnJ/EScwxvCrX/0Kv9/P3XffHZZnDMlIItftYk2JwrAIKAyLSDc0eFrYXB6+xXMffvghr776KldffbVaqUnMmzlzJpdccgmLFi3i888/D/n9jTEcPTyTdXvr8GknOhGFYRE5svV7a7F2/8eroXbXXXcRHx/PvffeG5b7izjNvffeizGGO++8Myz3L8rPwNviZ0u5dqITURgWkSNauyew6nzy8IyQ33vZsmW899573HDDDUycODHk9xdxomOOOYZrrrmGJUuW8NFHH4X8/kXBecMlWkQnojAsIke0bk/gD+bkYaEPwwsWLCA+Pj5sI2AiTrVgwQKMMWH5xKR9EZ3mDYsoDIvIka3dXUt2mou89KSQ3nfp0qUsXbqUb37zm4wfPz6k9xZxukmTJnHNNdfwxhtvsGLFipDee0R2CunJCaxRRwkRhWER6VqwOf/kYRkYY0J675///OcaFRbpwk9+8hMAfvazn4X0vsYYioZnBjbT8duQ3lvEaRSGRaRL2ysbaPK1UjgsPaT3/eyzz3j77beZO3cu48aNC+m9RaJFUVERl19+Oa+88gpffvllSO9dOCyDBm8ru6qbQnpfEadRGBaRLrXPFw7x4rlf/vKXAPznf/5nSO8rEm2Cn5wEf2ZC5ai2N7jr9moRncQ2hWER6dLati1bC0O4eG7jxo08//zzXHjhhUyZMiVk9xWJRtOnT+cb3/gGixYtYvv27SG7b+HQwM/0+rZuMSKxSmFYRLq0bk8trvg4xg12h+ye999/P9ZafvzjH4fsniLR7Ic//CGtra385je/Cdk9JwxxE2cCfcRFYpnCsIh0ad2eOiYMcZMYH5pfF2VlZTz55JOcdNJJnHzyySG5p0i0O/vss5k2bRp//OMfqa6uDsk9kxPjGZ2bxvq9GhmW2KYwLCKHVdXgZW9tc0inSDz22GN4PB6+//3vh+yeItHOGMO///u/09DQwO9+97uQ3bdwaEZgkay3NWT3FHEahWEROazg4rlQhWGPx8Ojjz7KyJEjmTNnTkjuKRIrrr76avLz83n00Ufx+XwhuedRQ9OxFjaWanRYYpfCsIgc1oa2j0+PGhqatmrPPfcce/fu5Y477iAhISEk9xSJFYmJidx+++2UlJTwj3/8IyT3PKrtja7mDUssUxgWkcPaVBYIwxOH9D0MW2v5zW9+Q1paGjfffHOf7ycSi2655RZcLhe//e1vQ3K/4BvddeooITFMYVhEDmvD3jqy01zkul19vteKFSv4/PPPufHGG8nKygpBdSKxJy8vj7lz5/LBBx+EZBOOgkEpuJMSNDIsMU1hWEQ6Za1lU2k9E/LcIdmGObjo5/bbb+/zvURi2R133AEQktFhYwyThqazYW8d1mpbZolNCsMi0qk9Nc3UeVqYFIL5wlVVVTz77LOcfPLJ2mRDpI+OO+44Zs6cyTPPPENNTU2f73fU0HSqG32U1XlCUJ2I8zg2DBtjxhpjXjHG1Bljqo0xTxpjcrtxXYIx5ofGmHXGmEZjTLEx5g/GmCH9UbeIUwRXl08IwXzhv/zlLzQ3NzN//vw+30tE4NZbb6WxsZGnn366z/cKrgnYVFrf53uJOJEjw7AxJgN4DxgGXAvcCpwELDbGHOl7+inw38DTwIXAAuCibl4rEjOCYXhSH8OwtZbf//735OTkcOWVV4aiNJGYd80115Cens5jjz3W5+kNE/ICu0sGF8yKxBqnhr/bgCHAxdbaV621i4C5wAnApUe49jrgaWvtvdba96y1fwL+HZgBTAxn0SJOsrFtlGjikL5tw/z++++zadMmvv3tb5OcnByK0kRiXlpaGjfccANfffUVn332WZ/uNX5IMAxrZFhik1PD8IXAe9baPcED1tqVwEbg4iNcmwjsO+hY8N99XyUkEiU2ltaRl55EVmrfOkn8+c9/BuCmm24KRVki0ubWW28F4PHHH+/TfQa7k8hMSWSTNt6QGOXUMFwIrOnk+Jq217ryOHCjMeZcY0y6MaaIwNSJt6y160Jcp4gj+f2BThJ9XTxXV1fHokWLmDVrFoWFR/rRFJGemDZtGscddxx///vfaWho6PV9jDFMyHOzsbReHSUkJjk1DA/i0NFdgCogu6sLrbX3AP8LLAFqgdVADXBFiGsUcaxd1U00+VqZkNe3MPzcc8/R2NjIt7/97RBVJiIHmjdvHg0NDbzwwgt9us+EIW5qmnxU1HtDVJmIczg1DAN09vb1iNMcjDF3AD8AfgScDnwLGAM839kCOmPMD4wxu4Jf9fWaUyXRb0Nw8dzQvs0X/tOf/kRKSgrXXHNNKMoSkYPMnTuXxMRE/vrXv/bpPuPb3vhqEZ3EIqeG4WoCo8MHG0RgdLhTxpgc4H7gp9baX1lr37fWPgFcDXwDuOTga6y1D1prC4JfbnffwoGIEwT/II7vw8jwxo0b+fjjj7nyyivJzMwMVWkicoCcnBwuvvhi3n33XXbu3Nnr+wQ7SmzWIjqJQU4Nw+uAyZ0cn9z22uGMA5KAzw86/iWBkeYJIalOxOG2lAXmH44f3Ps3f0899RQAN954Y0hqEpHOfetb38Jay9/+9rde32NCsKOEeg1LDHJqGH4VONMYMzR4wBgzA5gEvNLFddvb/nvcQcePJzDFYlsIaxRxrC3l9eS6k8hMTezV9dZannrqKYYNG8aZZ54Z4upE5EDnnXceubm5/PWvf+31ArihGcm4kxI0TUJiklPD8ONAGfCyMeZCY8wVwLPACuCl4EnGmAXGGGuMGQ1grS0DFgF3G2N+bIyZbYy5qe3azcBr/fttiAw81lq2lNczbnBar++xYsUKtmzZwty5c4mPjw9hdSJyMJfLxXXXXceGDRv4/PODP/jsHmMM4/PcmiYhMcmRYdhaWwvMJhCInwUWAp8AF1lr/Ue4/CbgN8C3gcXA3cBS4CxrbWO4ahZxiop6L3XNLYzL6/sUieuvvz5UZYlIF6699loAnnnmmV7fY0Kem4p6L1UN6ighscWRYRjAWrvFWnuRtdZtrc2y1t5grS0/6JwF1lpjrd1+wLF6a+1PrLUTrbUp1tpR1tobrbXF/f5NiAxAW8oDI0PjejlfuKWlhWeffZZJkyZx7LHHhrI0ETmMmTNnMmrUKJ599ln8/iONCXVu/7xhTZWQ2OLYMCwi4bE/DPdumsQ777xDWVkZ119/PcZoU0eR/mCMYe7cuezcuZOPP/64V/cIvgHeWtH7DTxEnEhhWEQ6CHaS6O3I8HPPPQcE+p+KSP/p61SJsW0/89sUhiXGGG292DMFBQV2165dkS5DJGy+9acVfLK1krX3nEd8XM9Gdn0+H0OHDmXEiBF8+eWXYapQRDpjrWXy5MlUVVVRUlJCQkJC9y58ei5Ub8Na2FxWR2pSAvlZKaEtbtAYuK7385lFesoYU2KtLejOuRoZFpEOtpTXMyY3rcdBGOC9996jqqqKK6+8MgyViUhXglMlysrKWLZsWS+uh8SEOHytvZtzLOJU3XzbKCKxoMnbSsm+Ji6YMqxX1//f//0fAFdddVUoyxKRbrriiitYsGABL774ImeddVb3LjpgxPZnf/2MpRvKWDf/PBLjNV4msUH/TxeRdtsqGrC2d/OFW1paePHFFykqKmLSpElhqE5EjuToo49mwoQJvPjii73qKjF2cBotfsvOKnUaldihMCwi7frSSWLZsmVUVFRoioRIBBljuPzyy9m9ezcrVqzo8fVjcwM/+1pEJ7FEYVhE2vWlx/ALL7wAoDAsEmGXX345sP9nsifGtIXhreUKwxI7FIZFpF1wNCj4B7G7rLW8/PLLjB8/nsmTJ4ejNBHppuOOO46CggJeeOEFetoxaqx6DUsMUhgWkXbbKxrIS08iLalna2u/+OILdu3axSWXXKKNNkQiLC4ujssuu4wtW7awatWqHl2b63aRnpzA1rZPiURigcKwiACB0d1tFQ2M7uGoMMBLL70EwKWXXhrqskSkF+bMmQPAyy+/3KPrjDGMzU3TnGGJKQrDIgJAdaOP2uYWxuT0PAy//PLLZGdnc9JJJ4WhMhHpqVNPPZWMjAxeffXVHl87drCbsjoPdc2+MFQmMvAoDIsIANsrAyNBPR0ZLi4u5ssvv+Siiy7q/o5XIhJWiYmJnHfeeaxYsYLS0tIeXauOEhJrFIZFBAjMFwYYnZPao+uCH8NecsklIa9JRHrvoosuAuC1117r0XVjBqujhMQWhWERAQ4Iwz0cGX711VdxuVycc8454ShLRHrp/PPPxxjT46kSwW4ywU+LRKKdwrCIALCtMrDj1OgezBlubGxk6dKlnHbaaaSnp4erNBHphdzcXE488UTefPNNPB5Pt68b1fY7YEeldqGT2KAwLCJAYGR4aEYyKa74bl+zdOlSPB4P559/fhgrE5Heuvjii6mvr2fZsmXdvsadlECu28UOjQxLjFAYFhGstWyvbGBUD+cLv/766wCcd9554ShLRProwgsvBGDx4sU9um5UTppGhiVmKAyLCFUNXuqaW3q889ySJUsYOXIkhYWFYapMRPqiqKiI4cOH8+abb/boulHZqVQ2eNVeTWKCwrCI9Kqt2ubNm9m8eXP7Ih0RGXiMMZxzzjmsX7+e4uLibl+necMSSxSGRYRtFT1fPBecIqH5wiID27nnngvQo9Hh4JSp4iqFYYl+CsMi0r5QZnRu9+cML1myhMTERGbPnh2uskQkBM4++2yMMb0Kw2qvJrFAYVhE2neaGpXdvZFhr9fL0qVLOemkk9RSTWSAy83NZcaMGbz99tu0trZ265rgNIliTZOQGKAwLCIUVzUyJCOp223VPv30UxobGzn77LPDXJmIhMI555xDdXU1n332WbfOH5SaSHpygkaGJSYoDIsIxVWN3R4VBnj77bcBOOuss8JVkoiEUHDe8BtvvNGt840xjMpJ1ciwxASFYZEYV9vsY1+jjxHZ3Z8v/M4775Cens7xxx8fxspEJFRmzZqF2+1ufyPbHaNy0thT20yzr3tTK0ScSmFYJMbtbFstPiI7pVvn19XV8emnn3LGGWeQkJAQztJEJERcLhennHIKn3zyCY2N3RvtHZWdirWwq1qjwxLdFIZFYlwwDI/s5sjw+++/T0tLi6ZIiDjMmWeeic/n4+OPP+7W+cFWi9srFIYluikMi8S44h6G4XfeeQfQfGERpwm2QXz33Xe7df7ItvZqO9RrWKKcwrBIjNtZ1QR0Pwy//fbbDBkyhKOPPjqcZYlIiE2fPp3MzEzee++9bp0f7DW8Qx0lJMopDIvEuOKqRpIS4hicnnTEcysqKli9ejWzZ8/WFswiDhMfH89pp53GypUrqaurO+L5Q9KTccXHsau6qR+qE4kchWGRGLezqpER2andCrcffPABAKeffnq4yxKRMJg9ezatra18+OGHRzw3Ls6QPyilfV2BSLRSGBaJYX6/ZVd1U48WzwGcdtpp4SxLRMLkzDPDyvVUAAAgAElEQVTPBLo/b7hgUAq7qpuw1oazLJGIUhgWiWGldc14W/3dDsPLli1j8ODBHHXUUWGuTETCYcqUKeTk5HR73vCI7FSafK1UNnjDXJlI5CgMi8Sw4O5S3dlwo6amhi+//JLTTjtN84VFHCouLo5TTz2VL774olvzhgsGBfqPa6qERDOFYZEYFmyrNmLQkTfc+Oijj7DWaoqEiMOdcsop+P1+Pv300yOeO2JQ4I3yTi2ikyimMCwSw9o33Mg58sjwsmXLAC2eE3G6U089Fdi/ILYrwU+NtAudRDOFYZEYFhztCY7+dOX9998nKyuLoqKicJclImE0ffp0UlNTu9VRYv80CY0MS/RSGBaJYcVVjeS6XaQlJXR5XkNDA5999hmnnHIK8fHx/VSdiIRDYmIis2bN4pNPPsHn83V5bk6ai5TEeI0MS1RTGBaJYTurGinoxqjwihUraGlp4ZRTTumHqkQk3E455RQaGxv54osvujzPGMOI7BRtvCFRTWFYJEY1+1opq/OQ343Fc8uXLwfg5JNPDndZItIPejJvuGBQKiXVTfj96jUs0UlhWCRG7alpBqAg68hh+OOPPyYxMZEZM2aEuywR6QezZs0iPj6+W/OGRwxKwdvqp6zO0w+VifQ/hWGRGFXS9rFnwRFGhq21LF++nOnTp5OScuTgLCIDn9vtZvr06Xz44YdH3F0u2FFip+YNS5RSGBaJUSX7An/YjjRNYuPGjVRVVXHSSSf1R1ki0k9OOukkKioq2LJlS5fnaeMNiXYKwyIxKjgynJ/V9QK6jz/+GEBhWCTKzJo1C4BPPvmky/OCi2y1iE6ilcKwSIzata8tDB9hZDgYhk888cSw1yQi/ScYhl/Y8gLXL76e5pbmTs9rnyahkWGJUgrDIjGqpLqJzJRE3EfoMbx8+XJGjhxJQUFBP1UmIv1h9OjR5OXlsW3vNlZVrGJj9cZOz8tMSSQ9OUFzhiVqKQyLxKiSfU3kH6GTxL59+1izZo1GhUWikDGGmTNnsu3TbQCsrVx72HPzs1LaO9CIRBuFYZEY1Oq37K1pPuIUiU8//RTQFAmRaDVr1iwatjYAsK5q3WHPy89KYc++ZvUalqikMCwSg0prm2nx2yOODK9YsQKAmTNn9kdZItLPZs2aRUtNC6mtqV2ODA/PCvQarmhQr2GJPgrDIjFoVzd7DK9cuZKEhASmTZvWH2WJSD87/vjjMcZgKgybqzfjbfV2et7wtjfOu/dpqoREH4VhkRgU7DHcVRi21rJy5UqOOeYYkpOT+6s0EelH6enpFBUVUbmmkhbbwqbqTZ2eNzwr8Dtg9z61V5PoozAsEoO602O4pKSEvXv3cvzxx/dXWSISAbNmzaJ0VSkAa6s6nyoRnFJVol7DEoUUhkViUEk3egwH5wsrDItEt+OPP56m7YHfCYebNxycJlGikWGJQgrDIjFoV3UTKYnxDEpNPOw5K1euBOCEE07or7JEJAJmzJhBy74WklqSWFfZeUeJvPQk4uOMpklIVFIYFolBJfuayB+UgjHmsOesXLmS1NRUCgsL+7EyEelvRUVFuFwuTJlhY/VGfK2+Q85JiI9jaEYyu2sUhiX6ODYMG2PGGmNeMcbUGWOqjTFPGmNyu3ltkjHmLmPMZmOMxxhTYoz5Q7hrFhkIrLXsPsKGG36/n88++4xjjz2WhISud6gTEWdzuVxMnTqVynWV+Pw+Nu/b3Ol5w7OS1U1CopIjw7AxJgN4DxgGXAvcCpwELDbGdPk9mcBQ2AvAvwD/A5wDfB+oDWfNIgNFVYOXZp+/fQ5gZzZt2kRNTY2mSIjEiOOOO47KdZUAbKje0Ok5w7NSqGrw0uRt7c/SRMLOqUM+twFDgFnW2j0AxpjtwArgUuDFLq6dRyAAH2utXX3A8efCUqnIABPcUnV45uHbpQXnC2vxnEhsmDFjBgufXwjAxuqNnZ4T/DRpd00T4wa7+602kXBz5MgwcCHwXjAIA1hrVwIbgYuPcO2twNKDgrBIzAiG4WFdjAx//vnnQOAPpIhEv+OOOw5vuZd4fzwbqzoPw/s33tC8YYkuTg3DhcCaTo6vaXutU8aYRGAGsN4Y87/GmBpjTJMxZokxZnyYahUZUPa0LYDpamT4888/Jz09nXHjxvVXWSISQZMnTyY5KZm4qjg2VG/AWnvIOfkKwxKlnBqGBwH7OjleBWR3cV0OkEhgqsQJBOYb3whMAF43xrhCW6bIwBNcADP0MGHYWsuXX37JtGnTiItz6q8IEemJxMREpk2bRs2mGvZ59lHRVHHIOft7DWsRnUQXJ/+lO/RtKxy+T1RAfNt/44CLrbWvWWsXAVcD44CrDrmhMT8wxuwKftXX1/epaJFIC44MD8vsfJrEtm3bqKmpYfr06f1ZlohE2IwZM9i3OTDO1NkiOm3JLNHKqWG4msDo8MEGERgd7uo6C6y21ra/7bXWfg7UAJMPvsBa+6C1tiD45XZr0YA42559zQxKTSTFFd/p68H5wscee2x/liUiETZjxgyaiwOjvp0toktPTiQ9OUFbMkvUcWoYXkcnwbXtWOfb5wDW2kZgexf3PfwkSpEosae26bCjwgBffPEFgEaGRWLM9OnTad51+DAMgXnD2nhDoo1Tw/CrwJnGmKHBA8aYGcAk4JVuXHuMMWbwAdceB2QC/wxDrSIDht9v2VvTzLAuFs998cUXJCUlaec5kRhTWFhInC+OhIYENlR13mt4WGYye2qaO11gJ+JUTg3DjwNlwMvGmAuNMVcAzxLoM/xS8CRjzAJjjDXGjD7g2vuBZuBVY8wlxpi5BHoMrwWe76f6RSKiosGDr9UyLKvrThJTpkwhMTGxHysTkUhLSkpi8uTJNBU3sb1mO95W7yHnDM1Mxtvip7rx0C2bRZzKkWHYWlsLzCYQiJ8FFgKfABdZa/1HuHYncCZQDzwD/L7t2rOstZ5w1i0SaXvaVoEfbprEnj17KC0t1RQJkRg1bdo0qjdV02Jb2Faz7ZDXh2YEfnfs0VQJiSKODMMA1tot1tqLrLVua22WtfYGa235QecssNYaa+32g45/Za09y1qb2nbtddbavf36DYhEQPvuc4cZGQ7OF9biOZHYNG3atPZFdJ11lAhOsdpbo/ZqEj0cG4ZFpOeCoznB0Z2DBTtJaGRYJDZNnTqV5pJA0N28b/Mhrwf7k++tVRiW6KEwLBJDjjQy/NVXX2GMYcqUKf1ZlogMEFOnTsVb6sX4DVv2bTnkdY0MSzRKiHQBItJ/gs3yD7f73OrVq5kwYQKpqan9WZaIDBA5OTmMyB+BrbRsyTg0DAd/d+xRGJYoopFhkRiyt6aZXLeLpIRDN9xobGxk06ZNHHPMMRGoTEQGimnTplG7rZaS+hIafY0dXktPTsSdlKCRYYkqCsMiMWRPTfNhR4XXrl2L3+/XFAmRGDd16lSadgU+Reqso8SQjCR1k5CoojAsEiNa/Za9tc2Hbau2evVqAI0Mi8S4adOm4SkJdBrtbBHdsMwUbbwhUUVhWCRGlNd5aPVbhh9mZHjVqlUAGhkWiXHHHHNMe0eJLTWdzxtu9LZS52np79JEwkJhWCRGtLdVO8zI8KpVq0hLS2PMmDH9WZaIDDBjx44lvi4eWlFHCYkJCsMiMaK0NvCx59DMpENes9ayatUqpkyZQlycfi2IxLL4+HgmHzWZlrKWTsOwOkpItNFfPZEYUdrWJH9IxqHTJEpLS6moqNAUCREBoKioiPod9Z12lAiODJcqDEuUUBgWiRF7uwjDwfnCWjwnIhAIw57dgU+TDu4oEdzBUiPDEi0UhkViRHBkeGgnYTjYSUIjwyICbWH4MB0l9m/JrPZqEh0UhkViRGltM+lJCaQlHbrxpDpJiMiBpkyZsr+jxEHzhgelJuJKiNPIsEQNhWGRGLG3ppm8jEMXzwF8/fXXDB8+nOzs7H6uSkQGouHDh5PqTQU/bKvtOE3CGMOwzGR1k5CooTAsEiPKaj2d7j7n9/tZt24dRx99dASqEpGByBhD0eQifOW+TnehG5qRrJFhiRoKwyIxoMHTQp2npdPFczt27KCpqYnJkydHoDIRGaiKiopoKmliV90ufH5fh9eGZSZT0+Sj0auNN8T5FIZFYkBXnSTWrFkDoJFhEelgypQpePZ4aLWt7Krb1eG14O+Ssrb+5SJOpjAsEgO66iSxdu1aAI0Mi0gHRUVFePYGwu72mu0dXstr+10S/N0i4mQKwyIxoKsNN4JhuLCwsF9rEpGBraioCO8eL3DoIrohbYtxy+o0MizOpzAsEgOCWzEP6aSbxNq1axk6dKg6SYhIB9nZ2aS3pAOHjgwP0ciwRBGFYZEYEGyBdHA3CWsta9eu1XxhEenUUaOOorW+9dAwnN42Z1gjwxIFFIZFYkBpbTPGwGB3x5Hh4uJiGhoaNF9YRDpVWFhI855mtu7b2uF4sGe5RoYlGigMi8SA0tpmct1JJMR3/JHX4jkR6UphYSHePV5qfDXsa97Xfjw5MZ7MlESFYYkKCsMiMaC01tNlJwlNkxCRzhQWFu7vKFG7vcNreelJaq0mUUFhWCTK+f2W0trmLjtJaGRYRDpTWFiIZ08g8B68E92QjGSNDEtUUBgWiXJVjV5a/LbTThJr1qwhLy+PnJycCFQmIgNdfn4+CbUJQCcjwxlJNHhbqfdoFzpxNoVhkSjX3kki49BOEuvXr1d/YRE5LGMMY3PGYlttpyPDoEV04nwKwyJR7nAbbpSWllJTU8NRRx0VibJExCEmT5qMt9zL9n3bOxwfkq6OEhIdFIZFolywD2jeQdMkNmzYAMCkSZP6vSYRcY7CwkK8ZV521e/Cb/3tx4NvsMvVa1gcTmFYJMoFV3vnpXccGVYYFpHuCIZhn/VR1ljWfjxP0yQkSigMi0S5srrAH6qDR4bXr18PoGkSItKlA9urFdcWtx8f0r7xhkaGxdkUhkWiXFmdh4Q4Q3aqq8PxDRs2kJSUxKhRoyJUmYg4wbhx4/BXBqZHFNftD8ODNWdYooTCsEiUK6vzkOtOIi7OdDi+YcMGxo8fT3x8fIQqExEnSEhIYFjKMKDjyHBSQjzZaS5tvCGOpzAsEuXKa5sPmSLh8XjYtm2b5guLSLdMyJuA9Vu212zvcDwvPYnSOo0Mi7MpDItEMWst5fUe8tI7huHNmzfj9/s1X1hEumXShEn4KnxsqdrS4Xhe2y501toIVSbSdwrDIlFsX6MPX6tlsDpJiEgfTJw4EU+phz2NezoE3yHpSTT7/NQ2axc6cS6FYZEoFuwxPDhdPYZFpPcmTpwYaK9Gx/ZqwV7DZVpEJw6mMCwSxdrbqikMi0gfTJw4EW+pF+jYUSK4HkEbb4iTKQyLRLH9G24c2mM4Ly+PrKysSJQlIg4zZMgQ4msDnWd21u1sPz7YHfjdUqYwLA6mMCwSxfZvxbx/zrC1lg0bNmjxnIh0mzGGAncB0LG9mkaGJRooDItEsc6mSVRUVLBv3z4mTpwYqbJExIEmDpmI9Vu2Vm9tPzbYHXijXV6vMCzOpTAsEsWCI8O57v1hePPmzQBMmDAhIjWJiDMdNeEofJU+Nldubj+Wmx7Y2VIjw+JkCsMiUay81kN2mgtXwv4f9U2bNgEKwyLSM8GOEqXNpe3t1VJdCbiTEto/hRJxIoVhkShWVtfc6YYbAOPHj49ESSLiUBMnTsRb7sWLl2pPdfvxvPQkjQyLoykMi0Sx8jrPIT2GgyPD48aNi0RJIuJQEyZMwFseaK9WUlfSfjxXYVgcTmFYJEo1eFpo8LYeEoY3b95Mfn4+qampEapMRJwoIyODVF/g98au+l3txwenJ1Hd6MPb4o9UaSJ9ojAsEqXa26qld2yrtmnTJk2REJFeCbZXK6nfPzIcnIpVoY4S4lAKwyJRKrg96oFzhisrK6mpqdHiORHplbE5YwHYXLG/o0Tw0ydNlRCnUhgWiVL7N9zYH4aD84U1MiwivXHU6KNobWpla8WBvYYVhsXZFIZFolRn0yTUY1hE+mL8uPF4y73sadzTfiw4MqwtmcWpFIZFolRw/t6BC+g0MiwifTF+/Hh85T5qbA0t/hZg/xtujQyLUykMi0Spivbd51ztx4Ijw2qrJiK9MW7cOLzlXqyx7G3YCxwwZ7heG2+IMykMi0SpinoProQ43EkJ7cc2bdrE8OHDSUtLi2BlIuJUWVlZJDYmAvvbq2WnuYgzGhkW51IYFolSlQ1eBruTMMYA+9uqab6wiPRFXlIesH/jjfg4Q647SXOGxbEUhkWiVEWdp8MUiWBbNc0XFpG+GJU1CoCtVQd0lNAudOJgCsMiUchaS0WDlxz3/sVzW7ZsAbR4TkT6pnB4IQCbSje1HwuGYWttpMoS6TWFYZEoVOdpwdvi7zAyHAzDWjwnIn0xcexEfNU+imuL248NdifhafFT52mJYGUivePYMGyMGWuMecUYU2eMqTbGPGmMye3hPUYbYxqNMdYYMzRctYr0t8p6L0CHkeGtWwMfaY4dOzYiNYlIdBg/PtBruKKlov1YcHOfslpNlRDncWQYNsZkAO8Bw4BrgVuBk4DFxpiefE8PATWhr1AksoI9hnMVhkUkxILt1TxxHhp9jYB2oRNnc2QYBm4DhgAXW2tftdYuAuYCJwCXducGxpg5wInA/WGrUiRCKusP7TG8detWsrKyGDRoUKTKEpEokJeXh6kNdKnZXb8bgMFtG2+U1anXsDiPU8PwhcB71tr2/SCttSuBjcDFR7rYGJMK/Ab4MVAVriJFIqW8bZrEwSPDGhUWkb4yxjAoPvCmendDIAwH33gHp2iJOIlTw3AhsKaT42vaXjuSu4EyYGEoixIZKIIjwzltf6A8Hg+7du3S4jkRCYn89HwAivcFFtEF1ydUNmiahDiPU8PwIGBfJ8ergOyuLjTGTAb+P+BfbTd6wBhjfmCM2RX8qq+v71XBIv3p4DnDO3bswFqrkWERCYmxuYHfJRv2bAD2zxmuqNPIsDiPU8MwQGdB1nTjukeBJ621K7r1EGsftNYWBL/cbnePihSJhMp6L3EGBqUGRoa1eE5EQqkwP/Ah7LaqbQBkpCSQGG/a34iLOIlTw3A1gdHhgw2iiznAxphrgGOBXxpjsowxWUBq28sZxpi0kFcqEgEV9R6y01zExwXeHwZ7DCsMi0gojB8zHl+1j72Ne4HAPOKctCQqGjQyLM6TEOkCemkdMLmT45OBj7u4rhBIBzZ18toG4A3gvD5XJxJhFfVectLUVk1EwmPs2LH4PvKxz71/xmJuuosKtVYTB3LqyPCrwJkHbpRhjJkBTAJe6eK6vwBnHvT1y7bXrgD+IxzFivS3inoPuekd26rFx8czYsSICFYlItFi1KhR+Cp8eBI9eFrbFuymJVHZoC2ZxXmcGoYfJ9AN4mVjzIXGmCuAZ4EVwEvBk4wxC9p2lxsNYK3dbq1deuAXsL7t9I+ttav685sQCYdmXyt1zS2HjAyPGjWKxMTECFYmItEiKSmJJE/gd8ye+kCX01x3Es0+Pw3e1kiWJtJjjgzD1tpaYDaBQPwsgRZpnwAXWWv9kaxNJNKqGjr2GLbWqsewiIRcdkKgeVN7r+G2T6M0VUKcxpFhGMBau8Vae5G11m2tzbLW3mCtLT/onAXWWmOt3d7Fff7Sds7esBct0g/a26oF/zBVVFBfX68wLCIhNSxtGABbywNrEnLT1GtYnMmxYVhEOhfcASr4h0mL50QkHIK9htfvCcw2DL4BL1evYXEYhWGRKFN+0MhwMAyPGTMmYjWJSPSZXBBo6rS9ajtA+zoFjQyL0ygMi0SZ4Mhw8A9TcXFgu9TRo0dHqiQRiUKTxk6ipbalvddwrnahE4dSGBaJMvvnDO/fihlg5MiREatJRKLPmDFj8FX62OcP9BpuX6egXejEYRSGRaJMZX2w52fgD1NxcTEul4u8vLxIliUiUWb48OG0VLfgcXnw+X1kp7owRtMkxHkUhkWiTEW9l/SkBJIT44FAGB45ciRxcfpxF5HQiYuLI9WXCgZKG0pJiI9jUKpL0yTEcfTXUSTKVNR7yHHv331ux44dmiIhImER7DUc3HgjJ81FhUaGxWEUhkWiTEW9t30hS01NDbW1tQrDIhIWw9OHA7BhzwYgsIhOm26I0ygMi0SRVr+lqmH/yHCwk8SoUaMiWZaIRKkxuYGWjRt2t4Xh9CRqm1vwtGhLZnEOhWGRKLKv0Yvf7m9xpE4SIhJOk4ZNAqC4OvDGO7hwN7gtvIgTKAyLRJGKYI9hd8cewwrDIhIOhaMK8fv8lDaVAjA4Xb2GxXkUhkWiSLCt2mBNkxCRfjB69OhAr+HWQK/h4MiwFtGJkygMi0SR4FbMOQdNkygoKIhYTSISvYYMGULrvlYaExqBA3ehUxgW51AYFokiwa2Ycw+YJpGXl0dKSkokyxKRKBUXF0eSJwnrstR769t3vgxO2RJxAoVhkSjSvhXzAdMkNF9YRMIp3aQDsKdhT/s0iUptySwOojAsEkUqD1hA5/P52L17t+YLi0hY5SUFtnrfXLp5/zQJhWFxEIVhkShSUe/BFR9HRnICJSUl+P1+jQyLSFgVZAXWJKwvWU+KK540VzyVaq0mDqIwLBJFglsxG2PUVk1E+sX4vPEAbK3YCgQ23ijXAjpxEIVhkShy4FbMaqsmIv1h8ojJAJTUlgCB9moaGRYnSYh0ASISGtZaKuo9TBjiBpy7+5y1tv1LJBoZY9q/osHE0RNp3dBKha0AAt1svtpVg99viYuLju9RopvCsEiUaPC24mnxHzIy7JQw3NTURGVlJfX19QrCEvWMMbjdbnJychzf+nDEiBH4qnzUZ9cDgWkSrX5LdaO3vee5yECmMCwSJYJN7nMOaKuWkpJCbm5uJMvqlqamJoqLi8nKymL06NEkJiZGuiSRsPL5fNTU1LS3P3RyIHa5XMQ1xOEb7sNv/eQG26s1KAyLMygMi0SJyobgVsz7d58bOXKkIz6KraysJCsriyFDhkS6FJF+ER8fT3JyMhD4/7/Td4lMa03DF++jqrlq/8YbdR4mDkmPcGUiR6YFdCJRorwu2GPYhbXWMRtuWGupr68nMzMz0qWI9LvMzMyomBqUnZgNwI6qHeSktYVhLaITh1AYFokSwZHhXHcS1dXVNDQ0OKKTRHCxnKZGSCxKTEyMigWjQ9OGAvB18dftO2BWqL2aOITCsEiUqAiODKclOaqThNNDgEgoOP3nYHT2aAA27928f5qEdqETh1AYFokS7SPD6S7HdZIQEWebOHwiAMXVxeS2TZMIbg8vMtApDItEiYp6D8ZAdqpLG25EodGjR3PGGWdEugyRThWNLgKgrLGMjJQEEuONRobFMRSGRaJERb2XQakuEuLjHDVNQkScb8KYCbTUtlDdWo0xhpy0JC2gE8dQGBaJEhX1nvaFK8XFxRhjHN+uSUScIT09HX+tn6b4JiAwXUsL6MQpFIZFokRFnae9pVFxcTHDhg3D5XJFuCoRiRUuj4vW1NbAxhvuJCrqPY5fGCixQWFYJAp4W/zUNre0r+IObrghA1tzczP33HMPkyZNIikpiby8PK699lo2bdp02Gu2bdvGnDlzyMrKIj09nUsuuaTT85cvX85FF13E8OHDSU5OpqCggPPPP5/XX389nN+SxLAMk4GJN1Q0VJCTloSnxU+DtzXSZYkckcKwSBQIdpLISXPh8XjYu3evwvAA19raysUXX8zdd99NRkYG3//+9/nGN77B//3f/zFz5kzWrFlzyDVVVVWceuqplJeXc/vtt3PeeeexePFiTj755PZ54gCfffYZp59+OsuXL+f8889vv/eOHTsUhiVscpJyAPh6x9fkpqvXsDiHtmMWiQLBFkaD05PYtWsXoE4SA92f/vQn3n77bebOncvTTz/dvm323LlzueSSS7j99tt5//33O1yzevVq5s2bx5///Of2Y3/+85+56aab+NGPfsTf//53AJ5++ml8Ph9Lly5lypQpHe5RVVUV5u9MYlV+Rj7b2Ma6XevITRsNBN6oj85Ni2xhIkegkWGRKFBev39kWD2GneGpp54iLi6O++67rz0IA1x88cWceuqpfPDBBx1GewHi4+O55557OhybN28ekyZN4oUXXqCpqanDa6mpqYc8Nzs7O4Tfhch+YwePBWBL2Zb2keHgNvEiA5lGhkWiQHBkONedxI610dVW7ZJLLmHLli2RLuMQ48aN4+WXX+719V999RX5+fmMGTPmkNdOP/10PvjgA1atWtVhhH/UqFGMGDGiw7nGGE466SQ2bNjA+vXrmT59Opdddhm/+c1vmDlzJtdffz1nnXUWp512GllZWb2uV+RIJg2fBFuhpKaEXLd2oRPn0MiwSBQI/sHJcWtk2Cnq6uoYMmRIp68Fj9fW1nY4npeX163zTz31VF5//XWKiop45JFHuPTSSxk8eDBXXnklu3fvDtW3INLB1HFTAShvLm/vbKNd6MQJNDIsEgUq28Jwrjsp6naf68vo60CWnp5OaWlpp68Fj2dkZHQ4Xl5e3un5ZWVlh5x/zjnncM4551BbW8v777/P3/72N5599ln27NnDRx99FIpvQaSDkcNG0lrfSo2t2b+ATiPD4gAaGRaJAhUHTpPYsQO3262PxAe4Y445hpKSErZt23bIax988EH7OQfasWNH+wLJIGsty5cvx+VycdRRRx1yr4yMDC666CKeeeYZTj/9dD7++GP27dsXwu9EJMAYg2kweBI9ZKe6MEZhWJxBYVgkClTUe0hzxZPiiqe4uJiRI0d2WJQlA8/111+P3+/nzjvv7LAxwWuvvcayZcs45ZRTDhndb2lp4e677+5w7Mknn2TdunVcdtllpKSkAPDhhx9SX19/yLXV1dUkJCSQkKAPBSU8UlpSsG5LnIFBqS4qtSWzOIB+I4pEgYp6LznuJKy1FBcXc+aZZ0a6JDmC73znO0EdICUAACAASURBVDzzzDM8/fTTbN68mdmzZ7Nz506ee+45MjMzefTRRw+5ZsqUKbzxxhuccsopnHbaaWzevJnnn3+ewYMH88tf/rL9vAceeID33nuP2bNnM3bsWKy1vPXWW3z99dfMnz8ft9vdn9+qxJDMuEw8iR62lW4jJ82lkWFxBI0Mi0SBinoPuW4X5eXlNDc3a/GcA8THx7N48WLuvvtuqqurefDBB3n99de57LLL+PTTTw/pDwyBtmgffPABubm5PPLIIyxZsoQLLriADz/8sMMo8u23387FF1/M119/ze9//3v+8pe/kJKSwuOPP87DDz/cn9+mxJjBKYMBWLV1FTlulxbQiSNoZFjE4fx+S1WDl+kjstRJwmFSUlJYsGABCxYsOOK527dvb//f//jHP7o899xzz+Xcc8/tY3UiPTciawRrWMP6kvXkukdR01SFt8WPK0FjbzJw6f+dIg63r8lHq9+SE4WdJETEWcYPGQ/A9ort7b2GqzRvWAY4hWERhwu2VRvsdrXvWKaRYRGJhMkjJgOwp34POWlqrybOoDAs4nDtWzEfMDKsMCwikTBlTGCue6W3ktz0to03NDIsA5zCsIjDHbgVc3FxMXFxceTn50e4KhGJRVmpWdhmSz31+0eG6zQyLAObwrCIwx24FfOOHTvIz89XH1kRiZi4xji8SYF2jwCVDQrDMrApDIs43MEjw5oiISKRlOpPxaQbMgMDw2qvJgOewrCIwwVHhtMS/JSXl6uThIhEVGZ8JvEp8VRVBtYwlGsBnQxwCsMiDldR7yUhzlBTthvQ4jkRiawhqUMA2FyyhuTEOI0My4CnMCzicBX1HnLcLnbu3AkoDItIZBVkFgCwee9mct1JmjMsA57CsIjDBbZi1oYbIjIwjBsyDoAdlTvIcSdRUaeRYRnYFIZFHK6y3qsewyIyYBSOKAQCG2/kprmobPBgrY1wVSKHpzAs4mANnhaafK3kavc5ERkgJg6bCECVt4pcdxK+Vkttc0uEqxI5PIVhEQc7uK1aVlYWGRkZEa5KRGJZdko2trVt4w23tmSWgc+xYdgYM9YY84oxps4YU22MedIYk3uEa+KNMT80xiw1xpQZY2qMMZ8YY+b0V90ioRRsWZTrdqnHcBQzxjBv3rxIlyHSLXEmjvimeLzJ3vZd6NRRQgYyR4ZhY0wG8B4wDLgWuBU4CVhsjOnqe0oB/gv4ErgJuApYA7xojPlOWIsWCYPK4O5zaYFuEgrDIjIQpLamEp8RT0pcYHpEpUaGZQBz6p6ttwFDgFnW2j0AxpjtwArgUuDFw1zXBIy11lYfcOxNY8wo4N+BhWGrWCQMKtpGW+J8jXi9XoVhERkQshKyqE+rx1NXDmiahAxsjhwZBi4E3gsGYQBr7UpgI3Dx4S6y1rYeFISD/gkMD3mVImEWHG3x1lQAaqsmIgPD/9/encdHVd2NH/98k0AWEkhYQoAkEAhSVFQUpYiySMuiPAKuNFRqqQto1VrUVh9BUUpx66MoD1UsarU+4taK2CBYWYoiiFUR4QcuIFsCISGQBMg25/fHuRMmG8kMSe5M8n2/XveFc+feyblfz9z53nPPPScxJhGAg4e+s/9qNwkVxEI1Ge6L7d5Q1dfOe/66GNh6SiVSygXe1pYjOTr7XKh66aWXGDx4MG3btiU2NpZ+/fpx3333UVpaWue+W7Zs4Wc/+xlJSUlERkaSnp7Ogw8+SHFx5Va4nJwcHnroIX784x/TqVMnoqKiOO2005gxYwbHjx+v9rk9evRg2LBh7Nq1i4yMDDp16oSIsHPnzoY6bNXMpcSnALA/71sAnXhDBbVQ7SaRAOTXsD4POMOfDxKRXwCDgKsaoFxKNamDRba1JS9Lh1ULRb/61a9YtGgRqampTJ48maioKLZt28YTTzzBPffcQ3x8fK37rlmzhksvvRSA8ePHk5SUxLp165g1axaffvopS5cuRUQA+Oyzz5g7dy4jRoxg4MCBhIeHs379embPns1nn33GP//5z2qfn5uby+DBg0lKSuK6664jPz+f1q1bN04gVLPTK7EXHIbs/B2IDNSJN1RQC9VkGKCmEbzFnw8QkYHAAuAFY8xbtWzzW+C33tft2rXz508o1agOFhQTH9OKvbt19rlQ8+abb7Jo0SJGjBjB0qVLiYqKqnjvwIEDxMbG1rpvcXExGRkZxMfHs27dOlJSUire+81vfsNTTz3F4sWLmThxIgAXXHAB2dnZ1Ybdmz17NjNmzGD16tUMHTq00nubN2/m5ptvZsGCBRVJtVL11TelL3wD+wuzaR/TWluGVVAL1WT4ELZ1uKoEbOtwnUTkR8B7wCrsaBQ1Msb8CfiT93VycrJOo6OChncq5h8++4GIiAiSkpLcLlKDu+GlT/kh96jbxaime4cYnv/F+QHvv3DhQkSEp59+ulIiDJCYmHjSfd9991327t3LwoULKyXCAA8//DDz5s3jjTfeqEiG27dvX+Pn3HLLLcyYMYOVK1dWS4YjIyOZM2eOJsIqICkJtl7mleTRMTFSh1ZTQS1Uk+GtwOk1rD8d+LiunZ3RI1YA3wBXGWN0ahwVknKLSujTOY7tu3aRnJxMeHi420VS9bRx40a6dOlC377+P+awYcMGAD799FP27NlT7f3o6Gi2bdtWad2yZct46qmn2LhxI3l5eXg8nor3srKyqn4EaWlptSbRStUlMdpe0BVKIX1iW/PV3sMul0ip2oVqMrwUeFhEkowx2QAich7QB7j3ZDuKSGdsIlwAjDXGBF+Tk1L1UFruIf9oKR3jIvlg1y769evndpEaxam0vgazw4cPk5aWFtC+hw7ZQXGee+65WrcpKiqq+O9XX32VSZMmkZiYyOjRo+nWrVtFa/SsWbOqPXAHdbdOK3UyrcJbEX48nLKoMtrHtKLgeBnFZeVERugFuwo+oZoMPwfcBiwRkVlAFPAIdpzhd7wbiciDwANAmjFmp4hEA8uAZGAy0FtEevt87ufGGO3YpEJCnvPwXLvWQl5enj48F2Li4+NrbJGtj7i4OAA++eQTBg4cWOf2s2fPpmvXrnz55Zd07Hhios79+/cza9asGvfR7hHqVMV4YjiWcIwosSOj5BWV0KVdtMulUqq6kBxazRhzBLgEOAAsxk6W8Qm2pddzkl07A+dgZ6J7A1hXZenSiMVWqkHlFNjrtvAye3NDk+HQMmDAALKysti61f9RHc8/37aWf/LJJ/Xa/vvvv2fQoEGVEmGAjz76yO+/rVR9xYfHExEfAcVHAHRECRW0QjIZBjDGfGeMGWuMiTXGxBtjfm6MyamyzYPGGDHG7HRe73Re17bsdONYlApErtMy7Dlq++LpSBKh5aabbsIYw+23317juMBlZbU/yjB+/Hi6dOnCQw89xObNm6u9n5OTUynJTklJ4T//+Q/Hjh2rWJeVlcV9993XAEeiVM06t+lMWEQYx47acdAP6ogSKkiFbDKsVEt30GkZPp5vrwG1ZTi0XHHFFdxwww188MEH9OnTh9tuu4177rmHCRMmkJKSQmFhYa37RkdH89prr1FSUkL//v0ZN24c99xzD9OmTeOnP/0p3bp14513KnqMMXXqVHbs2EH//v2ZPn06v/zlLznrrLM4/fSankNWqmEkxycDcKTAjoOuI0qoYBWqfYaVavG843YWHNTZ50LVwoULGTRoEM8++yyLFi0iPDycHj16cPfdd9OmTZuT7jtkyBA+//xz5s6dy/Lly8nMzCQ+Pp4ePXpw3333kZGRUbHtnXfeSVhYGM8++yzz58+nS5cuTJs2jfvvv5/IyMjGPkzVQqV3ToeDcKjwB2BAxYyZSgUbTYaVClEHnVaWvH06+1womzJlClOmTDnpNsbUPLx5eno6zz//fJ1/IywsjDvvvJM777yzXp+t0y6rhtC7S2/4GvKP7oXWkKvJsApS2k1CqRDlbWXZ/8O3dOjQoc6WRKWUakpJsXYSoMPF+wHtJqGClybDSoWog4UlRLcKZ/eOb7VVWCkVdDrHdAbgqBQQ0zqcHG0ZVkFKk2GlQlRuYTEdY1uzZ88eHUlCKRV02rRqQ1hZGJ4YDwkxrbRlWAUtTYaVClEHC4uJay2Ul5dry7BSKijFlMfQqn0r4iJMxUO/SgUbTYaVCkEejyG3sIQobEuLJsNKqWCU0CqBiIQIWpnj5BaW4PHU/DCoUm7SZFipEHTkeCllHkN4qZ19TrtJKKWCUeeYzoRHhUNpHmUew5HjpW4XSalqNBlWKgR5R5LwHM0HtGVYKRWcUhJSACgu3gucGBJSqWCiybBSIeiAM/vcsUMHAE2GlVLBqVfnXgAcrUiGtd+wCj6aDCsVgnKcZLggZy+tW7cmMTHR5RIppVR1Pdr3AKDouE2GdUQJFYw0GVYqBHmT4dy9O0hNTSUsTL/KSqngkxhjL9SPljoTb+iIEioI6S+oUiHIO3h91vfbtIuEUipodW5jJ9445skD4GCBJsMq+GgyrFQI8rYMH96/W5NhpVTQSohMQDxCWJsyAA4WaTcJFXw0GVYqBB0sLCEqQjClx3VYNaVU0BIR2njaENEWBDtzplLBRpNhpUJQTkExsREeQEeSUEoFt7GRY9n3133ERhgdWk0FJU2GlQpBOQXFRHpsC4smw0qpYDa0x1COfXeM1qZEW4ZVUNJkWKkQU+4x5BUVIyWFgM4+p5QKbt4L9rCSQm0ZVkFJk2GlQkxuUTEeA6UFuQAkJye7XCIVqFWrViEivPjiiyxevJhzzjmH6OhoUlNTmTFjBiUllROHsrIy5s2bR//+/YmJiaFdu3aMGTOGDRs2VPvsHj16MGzYMHbt2kVGRgadOnVCRNi5cycA69atY+zYsXTt2pWoqCiSk5MZM2YMy5Yta4pDVy1I165dCQsLo7zoEIXFZRwrKXe7SEpVEuF2AZRS/vGOJHE0N5vExESio6NdLpE6Va+//joffvgh1157LaNGjSIzM5PZs2ezfft2Fi9eDIDH4+HKK69kyZIlDBgwgJtuuomCggLefPNNhgwZwvLlyxkyZEilz83NzWXw4MEkJSVx3XXXkZ+fT+vWrdm4cSNDhw4lLi6O8ePHk5iYSHZ2NuvXr2fZsmWMHj3ajTCoZioiIoKuXbtyLC8b2qZzoOA43Tu0cbtYSlXQZFipEOO9zXg4e7d2kWgmMjMz+fDDDxk+fDgAf/jDHxg9ejSvv/46U6ZMYdSoUSxYsIAlS5Ywc+ZMZs2aVbHv/fffT//+/Zk6dSpff/01IlLx3ubNm7n55ptZsGBBpfWPP/44paWlrFq1in79+lUqS15eXiMfrWqJUlNT2bF/N6172OnkNRlWwUS7SSgVYipmn9u3Ux+eayZGjhxZkQiDbUl7+OGHAXjllVcAWLBgASkpKTzwwAOV9k1LS+PGG29k69atbN68udJ7kZGRzJkzp1Ii7CsmJqbauvbt25/SsShVk9TUVA7v3w3AgSP6EJ0KLtoyrFSI8SbDZYV5pKYOcrk0TeDViXBoh9ulqC4hDTJea5CPuuiii6qtGzhwIBEREWzatImioiK2bNlC7969eeihh6ptu2XLFgC2bdtWqaU3LS2txuR2woQJPPnkkwwcOJBJkyYxYsQIhgwZQnx8fIMcj1JVpaamUv7R1wAcKDjucmmUqkyTYaVCjDcZLi88RFpamsulUQ0hMTGx2rqwsDA6duzIkSNHyM/PxxjD9u3bK3WRqKqoqKjOzwW4+OKLWbZsGXPmzGH+/PnMmzePiIgIxo0bx7x58+jateupHZBSVaSkpFBeZLvgHNApmVWQ0WRYqRCT44zTWX70ED169HC3ME2hgVpfg1lOTk61dR6Ph9zcXPr27UtcXBwAo0ePJjMzs96fW1v3CLBdM0aOHMmRI0dYs2YNr7zyCosXLyYrK4uPPvrI/4NQ6iRSU1MpL3SSYe0moYKMJsNKhZicguO0pgzKy7RluJlYu3ZttXUbNmygtLSUs846i7Zt23LaaafxxRdfUFxcTGRkZIP97bZt2zJ27FjGjh1LdnY2q1evJj8/X7tMqAaVmpqKKTlGBOXaTUIFHX2ATqkQk1NQTHipvR3eIlqGW4D333+fNWvWVLwuLy9n5syZAEyaNAmAadOmkZ2dzfTp0ykrK6u0vzGm0v51Wbt2LYWFhZXWlZWVcejQISIiIoiI0HYS1bC8D/u2Kj9W0dVLqWChZzylQszBwhI8R/Pp2LEjsbGxbhdHNYAxY8YwcuRIJk6cSFJSEpmZmWzatImrr766Yszf22+/ndWrVzN//nyWL1/O0KFDSUhIYPfu3axfv559+/Zx/Hj9Wtwef/xxVq5cySWXXELPnj0xxrBixQo2b97M1KlTtV6pBpeQkECbNm3g2GEOFOiIJSq4aDKsVAgpLivn8LFSPIf2a6twM3LNNdcwefJk/vjHP7Jt2zY6derE/fffz4wZMyq2CQsL46233mLRokUsWrSIxYsXU1paSteuXRkwYADXXnttvf/etGnTiI2NZf369SxfvpzIyEjS09N57rnnmDJlSmMcomrhRITU1FSOH87hWGw3Sso8tI7Qm9MqOGgyrFQI8U64UXgwix9rf+FmZeLEiUycOPGk24SFhXHDDTdwww031Pl53mmXazJq1ChGjRrlbxGVOiWpqan8J2cfMd3O4WBhMV3jdfZMFRz0skypEHJiWLU8fXhOKRVS0tLSKM4/AOjwaiq4aDKsVAjZf8T2CS0vaiHDqimlmo1evXqdGGv4iI4ooYKHJsNKhZDsw04yfOSgtgwrpUJKz549KS88BGjLsAou2mdYqRCS5STDZQUHtWW4GRg2bBjGGLeLoVSTsMmwzkKngo+2DCsVQrIPHwOgvCCX7t27u1wapZSqv549e1JeZFuGc3TiDRVENBlWKoRkHT6OlB6lc8cEoqP1SWylVOho27Yt7du0Bk+5Tsmsgoomw0qFkOwjxykvyNX+wkqpkNSzZ0/MsXztJqGCiibDSoUIYwxZ+cc5fihb+wsrpUJSr169KDl8kP1HjrldFKUqaDKsVIjIKyqhpNxDeYGOJKGUCk3eh+gOFpZQ7tGHR1Vw0GRYqRDhHUlCu0kopUKV9yE6j7EX+EoFA02GlQoR2T7DqvXp08fl0iillP969epF2ZEcAPbla1cJFRw0GVYqRGR5Z5/TZFgpFaJ69uxJuZMM79VkWAUJTYaVChHeMYajTTGdOnVyuTRKNb4HH3wQEWHnzp2N8vnDhg3Th1GbWNeuXeGonXhj7yFNhlVw0GRYqRDh7TPcq2sHRMTl0iillP/Cw8PpFm/HSNeWYRUsNBlWKkTsyS3EU1xE33R9eE61DL/+9a/ZunUr3bp1c7soqgH17NIBU17GnkNH3S6KUgBEuF0ApVT97M4t1IfnVIvSsWNHOnbs6HYxVANL79WTTQUH2Xkg1u2iKAVoy7BSIcEYw8GiMsqPaDLcXKxatQoR4cUXX2Tx4sWcc845REdHk5qayowZMygpqT7sVFlZGfPmzaN///7ExMTQrl07xowZw4YNG6pt26NHD4YNG8auXbvIyMigU6dOlfrfrlu3jrFjx9K1a1eioqJITk5mzJgxLFu2rF7lLy0t5cknn+S8884jNjaWdu3aMWDAAB599NFK22VmZjJ8+HASExOJjo6me/fuXHHFFTWWuaqa+gy/+OKLiAirVq3i5Zdfpl+/fkRFRZGWlsbjjz9e4+d8++23jBs3jri4OOLj4xk/fjw7duyo9e/m5eUxffp0evXqRWRkJElJSUyZMoV9+/ZV2m7ixImICG+99Val9fn5+aSkpNChQweysrLqPM6Wpm/fvpQfPsA+p+uXUm7TlmGlQsCRY2WUGtGW4Wbo9ddf58MPP+Taa69l1KhRZGZmMnv2bLZv387ixYsrtvN4PFx55ZUsWbKEAQMGcNNNN1FQUMCbb77JkCFDWL58OUOGDKn02bm5uQwePJikpCSuu+468vPzad26NRs3bmTo0KHExcUxfvx4EhMTyc7OZv369SxbtozRo0eftMxlZWWMHTuW5cuX07dvX2688UYANm/ezCOPPMI999wDwDvvvMP48ePp1q0bV155JfHx8ezdu5fVq1fz8ccfc8EFFwQct6effpoVK1Ywbtw4RowYwZIlS7j77ruJjo7m1ltvrdhu9+7dDB48mJycHK644gp69+7NmjVruPjii2nfvn21z83Ozubiiy/mu+++49JLL+WKK67g+++/56WXXuJf//oXGzdurHiAdcGCBfz73/9m6tSpFXEGuPXWW9mzZw+LFy+mS5cuAR9jc3XGGWdQ9t4/OFoGBcdLiYtq5XaRVEtnjNHFj6Vbt25Gqaa2Neuw6f67pSb+ogxz9OhRt4vToMrKysyWLVtMWVmZ20VpUitXrjSAAcyHH35Ysb60tNSMGDHCAGbZsmUV65955hkDmJkzZ1b6nO+//960a9fO9O3b13g8nor13bt3N4C5+eabK603xpg777zTAGbTpk3VypWbm1tn2R977DEDmMmTJ5vy8vJK7+3Zs6fivydMmGAiIyNNTk5OpW08Ho/Jy8ur8+888MADBjA7duyoWPfCCy8YwCQkJJhvvvmmUrnbt29v0tPTK31GRkaGAczChQsrrf/FL35hANO9e/dK66+66ioTHh5uli9fXmn922+/XRFPX8uWLTOAueyyy4wxxrz++usGMBkZGXUenzEts/7n5OSYdhdlmO6/W2q2Zh12uziqmQL2mHrmdtpNQqkQ4B1Jol1rQ3R0tMulUQ1p5MiRDB8+vOJ1REQEDz/8MACvvPJKxfoFCxaQkpLCAw88UGn/tLQ0brzxRrZu3crmzZsrvRcZGcmcOXNqHX0kJiam2rqaWkurWrhwIW3atOGJJ54gLKzyz0jVh90iIiJo1apyy5+IkJCQUOffOZnbb7+d9PT0itft27fn8ssv59tvv6WgoACA4uJi3nrrLdLT05kyZUql/R9++GHCw8MrrTtw4ABvv/02EydO5Kc//Wml9yZMmMCAAQN44403Kq0fNWoUt9xyC++99x4PP/ww06ZNIzk5mfnz55/S8TVnHTt2pI0pBnR4NRUctJuEUiFgT5596jo5oeU9cHLbv25jd8Fut4tRTUpcCk+PePqUP+eiiy6qtm7gwIFERESwadMmAIqKitiyZQu9e/fmoYceqrb9li1bANi2bRv9+vWrWJ+WllZjcjthwgSefPJJBg4cyKRJkxgxYgRDhgwhPj6+zvIWFBSwfft2Lrzwwjofbrvyyiv5+9//Tr9+/cjIyOCSSy5h8ODBtGnTps6/U5f+/ftXW+dNxPPz84mLi2Pbtm0UFxdz4YUXVkvaU1JSSE1NxePxVKzbuHEjHo+HnJwcHnzwwWqff/ToUfLy8jh48GClY3/sscdYsWIFM2fORER4//336xXLliy1YyxZoCNKqKCgybBSIWDDN/bBndO7tXO5JKqhJSYmVlsXFhZGx44dOXLkCGCTO2MM27dvZ9asWbV+VlFRUZ2fDXDxxRezbNky5syZw/z585k3bx4RERGMGzeOefPm2YkRanH48GGAevWFnTRpEiLCk08+yaOPPsojjzxCVFQUP//5z3n88cdp1y7w+lzTvhER9ietvLwcoCJ+tcWhc+fOlR5wO3ToEADLly9n+fLltf7toqKiSslwTEwMI0aM4JtvvqF3796MGDHCz6Npefp2TyIL2LrrAFyow0Uqd2kyrFQI+HxXPmUFBzn79B5uF6XJNUTrazDLycmpts7j8ZCbm0vfvn0BiIuLA2D06NFkZmbW+7NPNjnLyJEjGTlyJEeOHGHNmjW88sorLF68mKysLD766KNa9/MmofUdJSEjI4OMjAwOHjzIypUref7553n++ec5evQof/vb3+p9LIFo27YtUHOMwXaL8OWN89y5c/nd735X77+zevVqnnvuOdq3b8/27dt54oknuPvuuwMsdctwXt80PtwJ2/ccdLsoSmmfYaWC3dGSMvYWeijZt70iOVLNx9q1a6ut27BhA6WlpZx11lmATepOO+00vvjiC4qLixv077dt25axY8fy2muvMXToUD7++GPy8/Nr3T4uLo4+ffrw5ZdfcvBg/ROZjh07cvXVV5OZmUnPnj355z//2RDFP6k+ffoQGRnJxx9/jH2e5oQ9e/awa9euSusGDBiAiPDJJ5/U+28UFBRw/fXX065dOz777DPOPfdcZsyYwVdffdUgx9BcnX3mGZQV5LJXu0moIKDJsFJB7ut9RzAInoM7GDRokNvFUQ3s/fffZ82aNRWvy8vLmTlzJmC7GXhNmzaN7Oxspk+fTllZWaXPMMZU+oy6rF27lsLCwkrrysrKOHToEBERERXdDWpz0003UVRUxPTp0yv1uQUqjcW7cuXKauMlFxUVUVhYSFRUVL3LG6jIyEiuvPJKvvnmG1588cVK7z3wwAPV4ti1a1cuv/xy/vGPf/Dqq69W+7zjx49XGx/5jjvuYOfOnTzzzDP06NGDv/71rwBcd911NY4VrawzzjiD8iM5HCrRqeWV+0K2m4SI9ASeAoYBZcBS4E5jTJ1NFSLyE+CPQD8gB1gEPGSMKW+0AisVoE++yQbgzK5xOpJEMzRmzBhGjhzJxIkTSUpKIjMzk02bNnH11VdXGu/39ttvZ/Xq1cyfP5/ly5czdOhQEhIS2L17N+vXr2ffvn0cP16/SQwef/xxVq5cySWXXELPnj0xxrBixQo2b97M1KlTiY09+YOad9xxBytWrOCvf/0rn376KaNHj0ZE+Prrr9m4cWNFi/Gdd95JVlYWQ4YMIS0tjePHj7N06VIOHDjA3LlzAw+aH+bOncsHH3zADTfcQGZmJunp6axZs4adO3fSr1+/in7FXs8++yxbtmxh0qRJzJ8/n/POO4/w8HB27tzJqlWrGDhwYMXEJO+88w4vvPACV111FRkZGYBN8mbPns3dd9/Ngw8+yJw5c5rkTCDP7gAAHKFJREFUOENNQkICrUoLKAmP5nhpOVGtwuveSalGEpLJsIi0BVZiE9mfAdHAXOA9ERlkjPGcZN/zgX8CbwC/A04HHgXaAHc1ctGV8tsH//kWY4RxF5/jdlFUI7jmmmuYPHkyf/zjH9m2bRudOnXi/vvvZ8aMGZW2CwsL46233mLRokUsWrSIxYsXU1paSteuXRkwYADXXnttvf/mtGnTiI2NZf369SxfvpzIyEjS09N57rnnqg1BVpPw8HCWLFnC008/zUsvvcSCBQuIiooiPT2de++9t2K73//+97zxxhts3LiRpUuXEhcXR9++fXn00Ue56qqr6h+kU5CSksLatWu56667yMzMJCwsjOHDh/Pyyy/zy1/+sloy3LlzZz799FOeeOIJ3nrrLRYuXEjr1q1JTk4mIyOD66+/HrD9kG+66SaSkpL485//XOkzfvvb3/Luu+/y6KOPMnbsWC688MImOdZQ0yFKOATsPXSUXolxbhdHtWBStR9VKBCRu4GHgTRjTJaz7nxgA3CFMebvJ9n3PaArcJ43aXY+7w9AijFm/8n+dnJystmzZ0/DHIhS9fCju1/nyKFc1s24lO7du7tdnAZXXl7O9u3bOe2006qN+9qcrVq1iuHDh/PCCy9UJFiq5Wmp9R9gwvTH+LzV6dzy40TuGX++28VRzYyI7DXGJNdn21DtM3wZsNKbCAMYYz4FtgP/VdtOItIa+AnwWpXW41eAVsCoximuUoE5cOQYx8PbEHPsQLNMhJVSLdcV56VSlp/Nnz/ey568orp3UKqRhGoy3Bf4uob1Xzvv1aYX0Lrqvk5SfaiOfZVqcv9Y8x8AzurW1uWSKKVUw/r5z67hzOOb8YS14tpH36424odSTSUk+wwDCUBNY//kAWfUsR8n2bfOeUizDx+n+13/qLOAStVXeEQ4EeE1fxVLy8sB4fKLzm7aQimlVCMTEf6+YA79pz3J3qSzSL/3vWpdRUpKSzAeTZJV4wrVZBigpm9HXWO0eN+v974i8lvgt97X4THtaHtsb70KqFR9JHfrRrduSTW+t2vXbrK+28LEUfc0calUYxs2bJi2hKkWLzo6mnceuI7xD7zA6ef+mISEytNYb/76a4qOaRcK1bhCNRk+xIlWXl8J2Bbe2uT5bFevfY0xfwL+5H2dnJxsvpp/a/1LqtQpOR+4wu1CKKVUo+mTlsyWl+6vZcZEfbBOBUb+99f13jZU+wxvxQ6JVtXpznu1+Q4oqbqviCRhk+GT7auUUkqpRnCyqcOVamyhmgwvBYY7SSwAInIe0Ad4t7adjDElwApgolT+5k0CSoH3G6e4SimllFIqGIVqMvwccABYIiKXiciVwGLsOMPveDcSkQdFxIhID599HwLOBF4WkeEicquzbl5dYwwrpRqetggppd8DpdwUksmwMeYIcAk2IV4M/AX4BBh7stnnnH03YMcp/hGQCdwLPAH8vjHLrJSqmYggIpSWlrpdFKWaXGlpacV3QCnljpCcgc5NOgOdUg1vz549tGrVis6dO7tdFKWa1P79+yktLSU5uV4TZSml6smfGehCdTQJpVQz0qFDB3bt2gVAu3btaNWqlcslUqpxlZaWcvjwYfLz80lNTXW7OEq1aJoMK6VcFx0dTWpqKrm5uezcuVPH31XNnogQGxtLamoq0dHRbhdHqRZNk2GlVFCIjo4mOTkZY0zFolRz5O0jrP2ElQoOmgwrpYKKJglKKaWaUkiOJqGUUkoppVRD0GRYKaWUUkq1WJoMK6WUUkqpFkuTYaWUUkop1WJpMqyUUkoppVosTYaVUkoppVSLpdMx+0lEyoBst8sRgmKBQrcLEWI0ZoHRuPlPYxYYjZv/NGaB0bj5L8kYU68hhHWcYf9l13eua3WCiOzRuPlHYxYYjZv/NGaB0bj5T2MWGI2b/0RkT3231W4SSimllFKqxdJkWCmllFJKtViaDPvvT24XIERp3PynMQuMxs1/GrPAaNz8pzELjMbNf/WOmT5Ap5RSSimlWixtGVZKKaWUUi2WJsNKKaWUUqrF0mS4ChERt8ugmjcRSdJ6ppqK1jWlVHMjjob6vBafDItIXxG5XEROBzDaibpOInKaiFwmIue5XZZQIiLnichyYAFwhtvlCUWa2NWPiHQXkbNEpLOe0/wjIp2cf1v872N9iMgZInKjiIwVkQ5ulycUiEgXt8sQipzcY5iIJBtHQ312i/2yi0i0iLwIfArMAzaJyEsico7zfouNTW1EpJ2I/A1YDTwDfCoir4pIH5eLFtREJExEZgJrgAPAh0CRu6UKDSLSR0R+KiK9QS9W6yIibUXkFWAl8A7w/0TkPhGJcrloQU9EBojINuAFAGOMx+UiBTURaSMii4C1wG+BJcCbIjLE3ZIFLydmzwF7RWS42+UJFU7cXsbmay8Dm0XkERHp1lB/oyXPQHcb8GPgMiAXOA2b4HUXkcnGmF0iIvrja4nIZcD/APuBKUA+kA68BHwCbHOvdEGvJ3A5cDf2i1yo9erkRKQN8Cw2bkVAovPD+7QxZpOIhGmyUpmIXAw8iY3XnUA09hw3G9gJvOpa4YKYiMQDC4ErgVeAP7pbouAnIhHAE8B5wHhgF5CMvQC7WkTWGWNKXSxi0HHuPv8BuAAoAGaIyGo9j9XL/cAAYBxQBpwDPAZ0EZG7jTH7T/UPtLhk2LnNGgNMBD4GPjLGlGGvNKKBmcBTwARNWCwnLmcB/wH+2xjznfPWOhG5HXtCVLUbBaQBbxljCgBEpCdQYIzJcbVkwWsutl5dCZRgu5U8DfQWkUnGmL16sXqCiLQDJgM5wJ3GmK3O+teB/sD1wKsas8pE5Cbgz8B6YCjwmTHmqLulCgm9sb+hDwH/xg7TukNE1gI/0kS4Rv2wydx9wD7gL9jv5SIXyxT0RKQjcC3wf8Aa5+JhrZOXTAX+G7j9VP9Oi+sK4HQzKQI6AduNMWUiEum8/TrwPDBORMaCdpcAMMYcAzKB+40x33n7bYpIW+AY8Kab5QsB5wBfGGP2i0g/EVmNvY29TkT+20mMlcOJRwb2x+JfxpjVxpj/BR4BhmATZe0yUdkRbGvTH7yJsEOAjUC6iMRpzKpJdf79A7Zh5CiAiMR4N9B+6jUy2DsPPxhjPMaYcmd9MfC603Lc4lXJHzKB4caYucDbwFvALBFJcKVwQazKd+4Y0AHYZozx+ORrzwDvY+9EDDvVv9msEz0RiRSR60VkqG/fEhFpD3wOjAYwxhSLSLhzNfsPYBUwx3mvRd3CqC1mwJfGmG/BJiEiEoe9jT0I+L2ILG2IChmqThI3gO+Bc0UkBfvwXB4nWlTucNapE1oBscDXVU5+c7BdmiaJyAhomRerItLaqUve1+FOkvt7Y8y/fbd1kpR44KAxpkATu2oexX4/f+7UtdNEZDHwtoi87fTrjHa3iO6pWtd8FAPrgD+JyEixD6K/hL2TczOwUkSuacqyBgsnZpc4F/WxPm8VGGNWO/99FPhf5/3fNXUZg5HzG3q1iJwNtPN5qxO2G+ZwqJSvHcN2O9yL7bN+SprtD4mITMb2b30Q+DuwXkRuATDG5GGDmyQilzq7GOe9b7AtnZ1E5Erns1rED0gtMZsGFQmwt0W4N/AZ0Be4y9m2F/Cc07e4RTlZ3By7sC10rzmvpxlj/mKM+SW2lfMCp7tJi3KSC4g4bDwvFZFWzskv0hhTCHztbNNSL1avw7aUPO50jfAmvBhjSqps6z1v9aGF9+mvLakzxhzBfm+vEZFlwCZsK9Qx4ExsH9hT/qENRTXVNS9jzA7gXmA39rb/Jmw3gF9i+3KWAE8658YWQ0RuA77BJrpbgH+JyPlw4k6W01XJg+12+Cxwh4j8yKUiBwUR+RWQDTyOfdD8Y28uYYzZCfwAnCUi5zq7ePO1ddi7rH3kVB/cNMY0uwXbn2kL9kvaA+iOTXD3YVtPwPaj24V9cCLOWRfh/Hsm8C22W4DrxxMEMbvL2SbMZ/th2KTFO6X3eU7MFgLhbh9PkMTtd842vYCPsK0pr1TZvwd2dIm1QGu3j6cJ4zYZ+xDmTmxL+R7gFp/33wY2A+OrxOorbHemHcAIt4+jCePVBts37nvsj20RMLaOfSKwrZo5wG/cPgYXY3cdUA4sBtrV8L5gb2HvwT6wGes9h2Fvw24DfuL2cTRhvE5a16r8DkQA/wV8gU2Gvb+hvbFJzfKWcF7DXkD92fkNvAO4GLgGe7GwHEitZb8zge3Y50lcPw6XYtffOZ/fhb1w74+96/D/gF8521zsfIf/G4j01j3n30HAISDjlMrhdiAaKbi3AgeBM33WeW9Rl3nXY4dU2+kT8HCf7b8C5jn/LW4fUxDE7HRnXdhJPmNdS/tS+1HXfuO8/jcQWaWuvYpNliPdPp4mitnJLiDudbY5GzuMziFsf87p2JaDxcBPsP1jR7t9LE0YM29S+z5wPvYCaj2QWMd+/Z16d5bPukigk9vH1AQxq/cFBDaRuxGIqrJ+ELZrzgMt4XfAOWa/6hq2b/+KGta/jh1pqI3bx9QEMbsce/F+PdDKZ/0V2CRuoPNaquzXCpgGeHAuuIBuwGluH1MTxm42NhlO8VnXFztUXxbQ2Vn3d2y+NtJ57XtR9gP24f5qMa7v0qy6SfjcFowDjhpjNjvrw4wxu4H52Ao7z9nuIewP8K9F5Hzj3G4UkV5AW2zLMcaJcHPkR8yehBO3pX27jojVnxMtd82eH3F7ytluETaRGwxc71PX2mOT5++wtxZbgpFAIrDEGLPTGPMDdiiwd4CHReRMY8yX2CH8XsP+oNwL/BWYaIz5AJsMt3el9E3Mp3/cBGPMKGPMp9gLhHOBa+voN30xtsVzn9jxri/E/sjcI81/7GEP9iL0G+wDmeuxw1klVt3QGPOVMWahMeY4nOiLbuxt2HygY3P+HfDyt645D8rFATEikuasay0iSdgRdL7H9o9t7jzAfGPMi8YZSUNEwrHduoqxQ7dWyiWc7hK+zyk9KiIZzus/iEgszZjPb2hbbH/q3c76MGMfAp4PlGIflAPb8NQam6/19clF+mNHCNsLp5CvuX1V0EhXGmOcIF7svPY2p4djr9w8OK1KwFjsEGs7gV8Bl2Bvd3yP0xraEpZ6xuwnvu85/x0DnA68iG3dTHP7WIIwbqOcdQOwV7fHsH3FrsOOXpKDc7XbnBdOdKn5PbDLZ32Y8++Z2NutH1TZL7XK658DhUB/t4/JpTiGYVt3F2Ev2HvXsI33Nv//Ye9G9MH2YyzG9rHr7PZxNHKMvMd/kc+6Ec539TZqucPle25zXl8CHAfucPuYXIpjrXXN53s7FXvX5i/Od3gg9s7Y7uZ+XvM5p4nPOt8Wy374tAzX8hlxzjnR4yzvA0luH1sTxvA27DMi/Z3X3t/QKGx//hJOtKxPwd5V3IgdAGEQtmvmZqD7KZXD7UCcQgBPdrv+XOxoES9X3R47AcJH2CGbvO/1BpY5X97dTmAHu32MQRizD3zeS8H2jXoaeyvjM+Bct48xSOPmW9fisBdbW7EtVp8DQ9w+xiaOpz8XXr4/LDHY8a6XYC++ml3f9JPVtRq2PR17C/9/cPplVvlRbuV8L3dhu/J8ix3ayfXjdCOu1HEBUWX7GOzY1m8CG4Bubh9DY8TEj21rqmu+Xb3+ABzGzrC5D/tw2IVuH6ObMXO2vxp7Z6FXLe8nYx8aO+p8V3/s9jE2Qsxq7LbAiQuJUdg7ow9XjTN20qAvgRd83hvmxCoLexG2pSHi5nqg/AxqF2xLWqt6bLsA++DDZc5r7w9uGPZp1699K6jzw5FAM2ttaoSY9XTWnYudrelfwBS3jzME4uZb1wR7u6fZ9gs72Y8G/l94hQMTsBcR+5wTYbO5a+NPXauyn2D7xB7FpwXU5/2ezg/GfuBmt4+zEePXkBcQXbFdK5514rYJOM/tY2zAWDVoXfM510U6sR0J/NTt43Q7Zj5xeQR7EVrj8yDOd3QHPg8PN5cFOyTaPdiuWif9jmIbI9dzogXYe2cnDHtB+iE+zzlgnwdIAQY1WHndDpgfgZ2LvV31FZB8ku28P6rnY68o3gOinXWtnH+vwz6Y07bqfs1paYKYdSHAzurBvGhdCzhujXLh5awfhr19+Cu3j9ONunaS/btiW0b+ge171xYY4PP+5TTPFvTGuoA4GzvF/Bqa2UV+Y9e15rg0QMzWAn+pGscqr5vjb+gM7HMdG4FbgA61bOdNekdgW3mf4cRoEd6L1buAfY0dM9eDVo+gTsR2jP7WSSzi/Nj3bmy3hyd91nnnVP8ciHf7+DRmwbNo3E4pdo16AeGsbzY/GqdS12r4rGux/eruw45Msp9m3FezsZM67NP8Wtdq/qya6lqzG3auIWKGbRndCUx1XqdgH0T/DLjA7WNsxNjd4MTtF9iHKOs1mgg2Ef4OZ0hSZ10k9g70amwf4kb7XroeuDqCMwjbf3C5Pyc9nx/ceOwVigd4Djsg+M3YK5Dfu318GrPgWTRuAcdNLyD8j1lAda2WzwrjxJjpHuwt18vcPsZGiltjJ3XN6va+c5xa11yKmfM5Rdi7M7/Adlna2xxj5nPMbbEXqU/hM0whVR5MrVqvnH+TsA9hlji/peOwwx1mYSeqatyyux28egR3jfPD2M8n2D/HTs3n2w/zZH0Upzmf8Q12mKF73D4ujVnwLRo3v+OlFxCBx64h6lokdmD/7c6PbqP/YLgYL03qAj9erWtNGDNOPBh2q1O/fsCO4nKf28fVBHHr4fzuXeq8boedLfRR7HMfic768Cr7eWPWEZjlfMZO7EXqXU1SdreDVyUgCfg8We78e7ZToR4AZgJHsFcKHuyDEPdWDWgtnx2OHTUiqrHKrzELnUXj1mBx1AsId+vas9jWlFi3jzNE6lqzTuq0rgVPzJx9PdjnI5pVzKrGzWddOnYoucuAS53v2BbsCF2F2Afhqg1HV8NnxwLnNOVvqOsBdQ78cuxQLGuBFdixHX2f8F3kVKrPsZ2xB3Bi3vhs7wmttpPgyYIeqovGTOPmQuz0AiJI6honWteb5ayFjVzXml1Sp3UteGLGiWTvDKCH28fZlHHDToS0DTtZ0mzssHGdsKMn3Yx9FuTp2uqab/ya/LhcDKg3eFOxY2D+D7YP4X+cE9wsn21jsRNjjKtSWdOxVxrrqGHO+ea2aMw0bi7FTy8gtK6FfF2jmSV1Wtc0ZkEUt4ec99tg5x4ow2fCKee9dthZf8twpl4OpnO/+wWw0xC+6HOiaovtX+LBNrN7/yd0r7Kft9Xgj9hO6S1m5jONmcatCWKlPxpa17SuhcCidU1jFiRxG+usuwz4f853eYizzrv9T7B3cSa6fSxVl5PNad/oRKQ39tbox8aZZ9oYcwQ7/Mh72Cb2bs76H5x9wp3XZc7HlAEdsH1Tmj2NWWA0bv4xzpkL+wT/UmC6MeYx7Hi/LwMzRORSERFjTCHwM2PMO979RCTCGPMtdiD1VOztsxZB65p/tK4FTuua/zRmgalP3EQkETse/DvY7+EoEWnj3R4w2C5QWU1d/rq4mgxjh8hpjR1SAxFpDWCM2Yd9ojAVOyQJzvthxphy579FRM4GxgN/NsYcaOKyu0VjFhiNm5/0RyNgWtf8pHUtYFrX/KcxC0xdcUvGjqlcBrwAvIGdMON6EUkVke7AJGzr8tdNXvq6uNksjQ3sy8B3PuvCfN57BtsPLMLn/ThgKDAF2xT/Jc1sCmWNmcYtGBbsbF05wExvnHzeG4B9Ovi/q8bTZ9+zsWNOPtkU5Q2WReua1rUmjJvWNY1ZMMVtPyceeO0AvIudiW4ndkKN/QTpMIbuF8COLXoAuN15He7z3jDsVf5k53U8tgP2Jmefx90uv8YsdBaNm9/x0h+NwGOndc2/eGldCzx2Wtc0ZsEUt1/4rItz1t9BkA9j2FgB+wVwDycZJokTHdRTgCXAVqCjs847LWtX7Nijd/nsdw6QAXR2O3gaM/cXjVujx1d/NLSuaV3Tuhb0i8YsuOLm3SdUlsYI7IXYJwtLgEG1BbbKie5q7GxAL1fZLsY5Ad7udqAa9X+Cxkzj1rRx0x8NrWta14J00bqmMdO4uRCLRgjuJcAX2CkuM6kysHmVoCbhzAePHUrHg52eNd0J7DTs7a8z3A5Uo/5P0Jhp3JouZnry07qmdS2IF61rGjONmwuxaITgXgt8j33aspxaxpMD5jrBfAo7qkVrbAvCAeyDFP/Gzuc9ixBrbteYadyCddGTn9Y1rWvBvWhd05hp3FyIxSkGUqoeOPBfwDLsMBtLsXNSJ/m8n+6cIPdgh9mIqrL/+cCvgPuB3m4HqBEqn8ZM4+ZmHPXkp3VN61qQLFrXNGYat+BYAgloL+wVf3KV9d4nf6cAm53/HgwcpfKQOJ2ACUCnqv+j3A5GowVZY6Zxcyd+evLTuqZ1LcgWrWsaM41b8C3+BDUSeB44jO3TlY8dED25SnAnA8ud7eOcbXKc/yELcOakbgmLxkzj5kLs9OSndU3rWhAuWtc0Zhq34F38Ce5M7NO8P3FObDc7J7dXfU+G2L5dW3xen+78DynFtgKc6fZBN1lwNWYat6aLmZ78tK5pXQviReuaxkzjFrxLfQMbD2wD/uQ90Tnr78BO0fdslXX/5/z3JGCvE9wy4Aq3D7jJAqsx07g1bdz05Kd1TetakC5a1zRmGrfgXsKon6NAe+BbY4zHOyc18L/YvmCXi8ilzro2wGgRWQMsAt4ExgAbgN+KSNt6/s1QpzELjMbNTyISjz2RvQt8aIz5yBjzLHAvcAH2qXyv1tiZuhCRScAK78cADxljNjdZwd2ndc1PWtcCpnXNfxqzwGjcAlDfZLgD9kpjsIhEGGNKRCTcGFMKvAL8gL3CAPgYe9ssHxgOTDfGfAz8D3aO+e4NeQBBTGMWGI2b//TkFxita/7TuhYYrWv+05gFRuMWCD+a3l/ETn050Hnt2/w+G/gOGAK0AvoB7avsH0WVcSab+6Ix07g1Uby6AGuBvwERzrpw598BwCfA+87rYdhxX5dgJ0Xwbn81cBzo5/bxaF0L3kXrmtY1jVnwLxo3/5f6tgyDvVI4HbhMRGKMbRWIcN57E0gA0o0xpcaYr4wxeb47G2OOG2MK/fh7zYHGLDAaNz8YY7KwfcH6Aed5VzvvbQQ+ANJFZAjwEXA5cL0x5mNjTJmz/bvYKXC/atLCu0/rmh+0rp0SrWv+05gFRuPmp3onw8aYL7EPSEzBXvGDHSgdY8wXwEHsuJHKoTELjMYtIHryC4DWtYBoXQuA1jX/acwCo3Hznz8twwC3YQN6m4icbYzxAIjIGdihc3Y3cPmaA41ZYDRuftCT3ynRuuYHrWunROua/zRmgdG4+cGvZNgYcxg7b3wK8LKIXCoig7BD6BzG3iJTPjRmgdG4BURPfgHQuhYQrWsB0LrmP41ZYDRu/hFjO0v7t5PIRcBjQBq2v9gR4EZjzJqGLV7zoTELjMbNPyJyLXZ4Kw/we+AQdiisnwD/ZYz5xsXiBTWta/7RuhY4rWv+05gFRuNWPwElwwAiEo0dwqO7MeajBi1VM6UxC4zGzT968guc1jX/aF0LnNY1/2nMAqNxq9upJMNiAt25hdKYBUbj5j89+QVG65r/tK4FRuua/zRmgdG41S3gZFgpFbz05KeaitY1pVSo02RYKaWUUkq1WP4OraaUUkoppVSzocmwUkoppZRqsTQZVkoppZRSLZYmw0oppZRSqsXSZFgppZRSSrVYmgwrpZRSSqkWS5NhpZRSSinVYmkyrJRSSimlWixNhpVSSimlVIv1/wFPkEzuRiD4uwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time # no latency\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:00:00-07:00 0.821347\n",
"2019-04-05 17:05:00-07:00 0.821347\n",
"2019-04-05 17:10:00-07:00 0.821347\n",
"2019-04-05 17:15:00-07:00 0.821347\n",
"2019-04-05 17:20:00-07:00 0.821347\n",
"2019-04-05 17:25:00-07:00 0.821347\n",
"2019-04-05 17:30:00-07:00 0.821347\n",
"2019-04-05 17:35:00-07:00 0.821347\n",
"2019-04-05 17:40:00-07:00 0.821347\n",
"2019-04-05 17:45:00-07:00 0.821347\n",
"2019-04-05 17:50:00-07:00 0.821347\n",
"2019-04-05 17:55:00-07:00 0.821347\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:00:00-07:00 0.666756\n",
"2019-04-05 17:05:00-07:00 0.634227\n",
"2019-04-05 17:10:00-07:00 0.598817\n",
"2019-04-05 17:15:00-07:00 0.560302\n",
"2019-04-05 17:20:00-07:00 0.518475\n",
"2019-04-05 17:25:00-07:00 0.473170\n",
"2019-04-05 17:30:00-07:00 0.424296\n",
"2019-04-05 17:35:00-07:00 0.371892\n",
"2019-04-05 17:40:00-07:00 0.316213\n",
"2019-04-05 17:45:00-07:00 0.257851\n",
"2019-04-05 17:50:00-07:00 0.197913\n",
"2019-04-05 17:55:00-07:00 0.138261\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11f9bc9b0>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = pd.Timestamp('20190405 1645', tz=tz) # 15 minute latency\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('5min'),\n",
" interval_label='ending', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='ending', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:05:00-07:00 0.751318\n",
"2019-04-05 17:10:00-07:00 0.751318\n",
"2019-04-05 17:15:00-07:00 0.751318\n",
"2019-04-05 17:20:00-07:00 0.751318\n",
"2019-04-05 17:25:00-07:00 0.751318\n",
"2019-04-05 17:30:00-07:00 0.751318\n",
"2019-04-05 17:35:00-07:00 0.751318\n",
"2019-04-05 17:40:00-07:00 0.751318\n",
"2019-04-05 17:45:00-07:00 0.751318\n",
"2019-04-05 17:50:00-07:00 0.751318\n",
"2019-04-05 17:55:00-07:00 0.751318\n",
"2019-04-05 18:00:00-07:00 0.751318\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:05:00-07:00 0.625802\n",
"2019-04-05 17:10:00-07:00 0.594452\n",
"2019-04-05 17:15:00-07:00 0.560329\n",
"2019-04-05 17:20:00-07:00 0.523223\n",
"2019-04-05 17:25:00-07:00 0.482944\n",
"2019-04-05 17:30:00-07:00 0.439344\n",
"2019-04-05 17:35:00-07:00 0.392358\n",
"2019-04-05 17:40:00-07:00 0.342056\n",
"2019-04-05 17:45:00-07:00 0.288734\n",
"2019-04-05 17:50:00-07:00 0.233033\n",
"2019-04-05 17:55:00-07:00 0.176127\n",
"2019-04-05 18:00:00-07:00 0.119954\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11fd38048>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('5min'),\n",
" interval_label='instantaneous', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='instantaneous', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)\n",
"main = reload(main)\n",
"# change default load_data function\n",
"persistence._load_data = load_data"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:00:00-07:00 0.770781\n",
"2019-04-05 17:05:00-07:00 0.770781\n",
"2019-04-05 17:10:00-07:00 0.770781\n",
"2019-04-05 17:15:00-07:00 0.770781\n",
"2019-04-05 17:20:00-07:00 0.770781\n",
"2019-04-05 17:25:00-07:00 0.770781\n",
"2019-04-05 17:30:00-07:00 0.770781\n",
"2019-04-05 17:35:00-07:00 0.770781\n",
"2019-04-05 17:40:00-07:00 0.770781\n",
"2019-04-05 17:45:00-07:00 0.770781\n",
"2019-04-05 17:50:00-07:00 0.770781\n",
"2019-04-05 17:55:00-07:00 0.770781\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:00:00-07:00 0.654319\n",
"2019-04-05 17:05:00-07:00 0.624036\n",
"2019-04-05 17:10:00-07:00 0.591064\n",
"2019-04-05 17:15:00-07:00 0.555185\n",
"2019-04-05 17:20:00-07:00 0.516192\n",
"2019-04-05 17:25:00-07:00 0.473902\n",
"2019-04-05 17:30:00-07:00 0.428192\n",
"2019-04-05 17:35:00-07:00 0.379041\n",
"2019-04-05 17:40:00-07:00 0.326594\n",
"2019-04-05 17:45:00-07:00 0.271268\n",
"2019-04-05 17:50:00-07:00 0.213899\n",
"2019-04-05 17:55:00-07:00 0.155949\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11fee6d68>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('5min'),\n",
" interval_label='instantaneous', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='ending', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2019-04-05 17:05:00-07:00 0.751318\n",
"2019-04-05 17:10:00-07:00 0.751318\n",
"2019-04-05 17:15:00-07:00 0.751318\n",
"2019-04-05 17:20:00-07:00 0.751318\n",
"2019-04-05 17:25:00-07:00 0.751318\n",
"2019-04-05 17:30:00-07:00 0.751318\n",
"2019-04-05 17:35:00-07:00 0.751318\n",
"2019-04-05 17:40:00-07:00 0.751318\n",
"2019-04-05 17:45:00-07:00 0.751318\n",
"2019-04-05 17:50:00-07:00 0.751318\n",
"2019-04-05 17:55:00-07:00 0.751318\n",
"2019-04-05 18:00:00-07:00 0.751318\n",
"Freq: 5T, dtype: float64\n",
"2019-04-05 17:05:00-07:00 0.619736\n",
"2019-04-05 17:10:00-07:00 0.586991\n",
"2019-04-05 17:15:00-07:00 0.551360\n",
"2019-04-05 17:20:00-07:00 0.512635\n",
"2019-04-05 17:25:00-07:00 0.470636\n",
"2019-04-05 17:30:00-07:00 0.425242\n",
"2019-04-05 17:35:00-07:00 0.376429\n",
"2019-04-05 17:40:00-07:00 0.324343\n",
"2019-04-05 17:45:00-07:00 0.269399\n",
"2019-04-05 17:50:00-07:00 0.212425\n",
"2019-04-05 17:55:00-07:00 0.154875\n",
"2019-04-05 18:00:00-07:00 0.099078\n",
"Freq: 5T, dtype: float64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x10c84c9b0>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 800x560 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('1min'),\n",
" interval_label='instantaneous', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='instantaneous', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)\n",
"main = reload(main)\n",
"# change default load_data function\n",
"persistence._load_data = load_data"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "Instantaneous forecast requires instantaneous observation with identical interval length.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-34-ebcf9d25b868>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0missue_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimestamp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'20190405 1700'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mrun_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mfx_per\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_persistence\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobservation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0mfx_per_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_persistence\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobservation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/git_repos/solarforecastarbiter-core/solarforecastarbiter/reference_forecasts/main.py\u001b[0m in \u001b[0;36mrun_persistence\u001b[0;34m(observation, forecast, run_time, issue_time, index)\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 168\u001b[0m data_start, data_end = get_data_start_end(\n\u001b[0;32m--> 169\u001b[0;31m observation, forecast, run_time)\n\u001b[0m\u001b[1;32m 170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mintraday\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/git_repos/solarforecastarbiter-core/solarforecastarbiter/reference_forecasts/main.py\u001b[0m in \u001b[0;36mget_data_start_end\u001b[0;34m(observation, forecast, run_time)\u001b[0m\n\u001b[1;32m 304\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'instant'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mobservation\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_label\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 305\u001b[0m data_start, data_end = _adjust_for_instant_obs(data_start, data_end,\n\u001b[0;32m--> 306\u001b[0;31m observation, forecast)\n\u001b[0m\u001b[1;32m 307\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 308\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'instant'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_label\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/git_repos/solarforecastarbiter-core/solarforecastarbiter/reference_forecasts/main.py\u001b[0m in \u001b[0;36m_adjust_for_instant_obs\u001b[0;34m(data_start, data_end, observation, forecast)\u001b[0m\n\u001b[1;32m 273\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'instant'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_label\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 274\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_length\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mobservation\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_length\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 275\u001b[0;31m raise ValueError('Instantaneous forecast requires instantaneous '\n\u001b[0m\u001b[1;32m 276\u001b[0m 'observation with identical interval length.')\n\u001b[1;32m 277\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Instantaneous forecast requires instantaneous observation with identical interval length."
]
}
],
"source": [
"# should raise ValueError due to mismatched instantaneous intervals\n",
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"def ac_power_observation_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Observation(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" value_type='mean', interval_length=pd.Timedelta('5min'),\n",
" interval_label='beginning', site=powerplant_metadata, uncertainty=1)\n",
" return ac_power_meta\n",
"\n",
"def ac_power_forecast_metadata(powerplant_metadata):\n",
" ac_power_meta = datamodel.Forecast(\n",
" name='Albuquerque Baseline AC Power', variable='ac_power',\n",
" issue_time_of_day=datetime.time(0, 0), # issued on the hour\n",
" lead_time_to_start=pd.Timedelta('0h'),\n",
" run_length=pd.Timedelta('1h'),\n",
" interval_length=pd.Timedelta('5min'),\n",
" interval_label='instantaneous', \n",
" value_type='mean', \n",
" site=powerplant_metadata)\n",
" return ac_power_meta\n",
"\n",
"observation = ac_power_observation_metadata(site)\n",
"forecast = ac_power_forecast_metadata(site)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"persistence = reload(persistence)\n",
"main = reload(main)\n",
"# change default load_data function\n",
"persistence._load_data = load_data"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "Instantaneous forecast cannot be made from interval average observations",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-37-77b4313aecbe>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0missue_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimestamp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'20190405 1700'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mrun_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mfx_per\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_persistence\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobservation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0mfx_per_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_persistence\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobservation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0missue_time\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/git_repos/solarforecastarbiter-core/solarforecastarbiter/reference_forecasts/main.py\u001b[0m in \u001b[0;36mrun_persistence\u001b[0;34m(observation, forecast, run_time, issue_time, index)\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 168\u001b[0m data_start, data_end = get_data_start_end(\n\u001b[0;32m--> 169\u001b[0;31m observation, forecast, run_time)\n\u001b[0m\u001b[1;32m 170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mintraday\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/git_repos/solarforecastarbiter-core/solarforecastarbiter/reference_forecasts/main.py\u001b[0m in \u001b[0;36mget_data_start_end\u001b[0;34m(observation, forecast, run_time)\u001b[0m\n\u001b[1;32m 307\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 308\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'instant'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mforecast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minterval_label\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 309\u001b[0;31m raise ValueError('Instantaneous forecast cannot be made from '\n\u001b[0m\u001b[1;32m 310\u001b[0m 'interval average observations')\n\u001b[1;32m 311\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mdata_start\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_end\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Instantaneous forecast cannot be made from interval average observations"
]
}
],
"source": [
"# should raise ValueError because we're trying to make instantaneous fx from average obs\n",
"issue_time = pd.Timestamp('20190405 1700', tz=tz)\n",
"run_time = issue_time\n",
"fx_per = main.run_persistence(observation, forecast, run_time, issue_time, index=False)\n",
"fx_per_idx = main.run_persistence(observation, forecast, run_time, issue_time, index=True)\n",
"\n",
"print(fx_per)\n",
"print(fx_per_idx)\n",
"\n",
"fig, ax = plt.subplots()\n",
"data.plot(ax=ax, color='k', label='obs')\n",
"data_cs.plot(ax=ax, label='clear')\n",
"fx_per.plot(ax=ax, label='pers')\n",
"fx_per_idx.plot(ax=ax, label='pers cs index')\n",
"\n",
"ax.set_xlim('20190405-0700', '20190406-0700')\n",
"\n",
"ax.legend()"
]
},
{
"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": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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