From e7be34108fc6a188fca14c89187102af54e16162 Mon Sep 17 00:00:00 2001 From: Magnus Tveit Date: Tue, 24 Mar 2026 20:57:25 -0600 Subject: [PATCH 1/2] EE --- EE_Exercise.ipynb | 442 ++++++++++++++ EE_metdata.ipynb | 1078 ++++++++++++++++++--------------- cache/aiohttp_cache.sqlite | Bin 14921728 -> 14970880 bytes supporting_scripts/getData.py | 70 ++- 4 files changed, 1093 insertions(+), 497 deletions(-) create mode 100644 EE_Exercise.ipynb diff --git a/EE_Exercise.ipynb b/EE_Exercise.ipynb new file mode 100644 index 0000000..5eaf84c --- /dev/null +++ b/EE_Exercise.ipynb @@ -0,0 +1,442 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ed65cc92", + "metadata": {}, + "source": [ + "Imports" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c7e2e87", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import time\n", + "import requests\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import ee\n", + "\n", + "from pynhd import NLDI\n", + "from supporting_scripts import getData, dataprocessing, SNOTEL_Analyzer, mapping" + ] + }, + { + "cell_type": "markdown", + "id": "c6412ef6", + "metadata": {}, + "source": [ + "Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79617e36", + "metadata": {}, + "outputs": [], + "source": [ + "nldi = NLDI()\n", + "\n", + "usgs_gage_id = \"09330000\" # Fremont River near Bicknell, UT\n", + "WY = 2019\n", + "\n", + "StartDate = f\"{WY-1}-10-01\"\n", + "EndDate = f\"{WY}-09-30\"\n", + "\n", + "OutputFolder = \"files/SNOTEL\"\n", + "os.makedirs(OutputFolder, exist_ok=True)\n", + "os.makedirs(\"Figures\", exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "id": "a73c3a6c", + "metadata": {}, + "source": [ + "EE Login" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eef05df6", + "metadata": {}, + "outputs": [], + "source": [ + "ee.Authenticate()\n", + "ee.Initialize()" + ] + }, + { + "cell_type": "markdown", + "id": "6726f3fe", + "metadata": {}, + "source": [ + "Streamflow data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e1308ab", + "metadata": {}, + "outputs": [], + "source": [ + "# Get basin polygon from USGS gage\n", + "basin = NLDI().get_basins(usgs_gage_id)\n", + "geometry = basin.to_crs(\"EPSG:4326\").geometry[0]\n", + "basin_polygon_coords = list(geometry.exterior.coords)\n", + "\n", + "daily_NLDAS_df = getData.get_NLDAS_daily(\n", + " basin_polygon_coords,\n", + " begin_date=StartDate,\n", + " end_date=EndDate\n", + ")\n", + "\n", + "daily_NLDAS_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "5ec20463", + "metadata": {}, + "source": [ + "SNOTEL download helper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e1e3675", + "metadata": {}, + "outputs": [], + "source": [ + "def download_snotel_csv(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries=5):\n", + " out_csv = f\"./{OutputFolder}/df_{SiteID}_{StateAbb}_SNTL.csv\"\n", + "\n", + " if os.path.exists(out_csv):\n", + " df = pd.read_csv(out_csv)\n", + " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + " return df.set_index(\"Date\")\n", + "\n", + " url = (\n", + " \"https://wcc.sc.egov.usda.gov/reportGenerator/view_csv/\"\n", + " f\"customSingleStationReport/daily/start_of_period/{SiteID}:{StateAbb}:SNTL\"\n", + " f\"%7Cid=%22%22%7Cname/{StartDate},{EndDate}/WTEQ::value\"\n", + " \"?fitToScreen=false\"\n", + " )\n", + "\n", + " for attempt in range(tries):\n", + " try:\n", + " r = requests.get(url, timeout=60)\n", + " r.raise_for_status()\n", + "\n", + " with open(out_csv, \"w\", encoding=\"utf-8\") as f:\n", + " f.write(r.text)\n", + "\n", + " df = pd.read_csv(out_csv)\n", + " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + " return df.set_index(\"Date\")\n", + "\n", + " except Exception as e:\n", + " if attempt == tries - 1:\n", + " raise\n", + " wait = 2 ** attempt\n", + " print(f\"SNOTEL download failed: {e}\")\n", + " print(f\"Retrying in {wait} seconds...\")\n", + " time.sleep(wait)" + ] + }, + { + "cell_type": "markdown", + "id": "25e42b8b", + "metadata": {}, + "source": [ + "Snowtel Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "43a4d936", + "metadata": {}, + "outputs": [], + "source": [ + "def download_snotel_csv(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries=5):\n", + " os.makedirs(OutputFolder, exist_ok=True)\n", + " out_csv = f\"./{OutputFolder}/df_{SiteID}_{StateAbb}_SNTL.csv\"\n", + "\n", + " if os.path.exists(out_csv):\n", + " df = pd.read_csv(out_csv)\n", + " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + " return df.set_index(\"Date\")\n", + "\n", + " url = (\n", + " \"https://wcc.sc.egov.usda.gov/reportGenerator/view_csv/\"\n", + " f\"customSingleStationReport/daily/start_of_period/{SiteID}:{StateAbb}:SNTL\"\n", + " f\"%7Cid=%22%22%7Cname/{StartDate},{EndDate}/WTEQ::value\"\n", + " \"?fitToScreen=false\"\n", + " )\n", + "\n", + " for attempt in range(tries):\n", + " try:\n", + " r = requests.get(url, timeout=300)\n", + " r.raise_for_status()\n", + "\n", + " with open(out_csv, \"w\", encoding=\"utf-8\") as f:\n", + " f.write(r.text)\n", + "\n", + " df = pd.read_csv(out_csv)\n", + " df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + " return df.set_index(\"Date\")\n", + "\n", + " except Exception as e:\n", + " if attempt == tries - 1:\n", + " raise\n", + " wait = 2 ** attempt\n", + " print(f\"SNOTEL download failed: {e}\")\n", + " print(f\"Retrying in {wait} seconds...\")\n", + " time.sleep(wait)\n", + "\n", + "SiteName = \"FREMONT RIVER NEAR BICKNELL\"\n", + "SiteID = \"09330000\"\n", + "StateAbb = \"UT\"\n", + "\n", + "snotel_df = download_snotel_csv(\n", + " SiteName=SiteName,\n", + " SiteID=SiteID,\n", + " StateAbb=StateAbb,\n", + " StartDate=StartDate,\n", + " EndDate=EndDate,\n", + " OutputFolder=OutputFolder\n", + ")\n", + "\n", + "snotel_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "8b80b636", + "metadata": {}, + "source": [ + "Landsat helper" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5b205118", + "metadata": {}, + "outputs": [], + "source": [ + "def get_landsat_ndsi_timeseries(basin_polygon_coords, begin_date, end_date):\n", + " basin = ee.Geometry.Polygon(basin_polygon_coords)\n", + "\n", + " col = (\n", + " ee.ImageCollection(\"LANDSAT/LC08/C02/T2_L2\")\n", + " .filterBounds(basin)\n", + " .filterDate(begin_date, end_date)\n", + " .sort(\"CLOUD_COVER\")\n", + " )\n", + "\n", + " n = col.size().getInfo()\n", + " img_list = col.toList(n)\n", + " records = []\n", + "\n", + " for i in range(n):\n", + " img = ee.Image(img_list.get(i))\n", + "\n", + " qa = img.select(\"QA_PIXEL\")\n", + " cloud_mask = (\n", + " qa.bitwiseAnd(1 << 1).eq(0)\n", + " .And(qa.bitwiseAnd(1 << 2).eq(0))\n", + " .And(qa.bitwiseAnd(1 << 3).eq(0))\n", + " .And(qa.bitwiseAnd(1 << 4).eq(0))\n", + " )\n", + "\n", + " green = img.select(\"SR_B3\").multiply(2.75e-05).add(-0.2)\n", + " swir1 = img.select(\"SR_B6\").multiply(2.75e-05).add(-0.2)\n", + "\n", + " ndsi = green.subtract(swir1).divide(green.add(swir1)).rename(\"NDSI\")\n", + " ndsi = ndsi.updateMask(cloud_mask)\n", + "\n", + " stat = ndsi.reduceRegion(\n", + " reducer=ee.Reducer.mean(),\n", + " geometry=basin,\n", + " scale=30,\n", + " maxPixels=1e9,\n", + " ).getInfo()\n", + "\n", + " if stat and stat.get(\"NDSI\") is not None:\n", + " records.append({\n", + " \"Date\": pd.to_datetime(img.date().format(\"YYYY-MM-dd\").getInfo()),\n", + " \"NDSI\": stat[\"NDSI\"],\n", + " })\n", + "\n", + " df = pd.DataFrame(records)\n", + " if not df.empty:\n", + " df = df.sort_values(\"Date\").set_index(\"Date\")\n", + " return df" + ] + }, + { + "cell_type": "markdown", + "id": "aac57f42", + "metadata": {}, + "source": [ + "Landsat" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25abdb74", + "metadata": {}, + "outputs": [], + "source": [ + "landsat_df = get_landsat_ndsi_timeseries(\n", + " basin_polygon_coords=basin_polygon_coords,\n", + " begin_date=StartDate,\n", + " end_date=EndDate\n", + ")\n", + "\n", + "landsat_df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "0f5502c9", + "metadata": {}, + "source": [ + "Clean and Allign" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "795c4f2e", + "metadata": {}, + "outputs": [], + "source": [ + "stream = stream_df.copy()\n", + "snotel = snotel_df.copy()\n", + "landsat = landsat_df.copy()\n", + "\n", + "if \"Date\" in stream.columns:\n", + " stream[\"Date\"] = pd.to_datetime(stream[\"Date\"])\n", + " stream = stream.set_index(\"Date\")\n", + "else:\n", + " stream.index = pd.to_datetime(stream.index)\n", + "\n", + "if \"Date\" in snotel.columns:\n", + " snotel[\"Date\"] = pd.to_datetime(snotel[\"Date\"])\n", + " snotel = snotel.set_index(\"Date\")\n", + "else:\n", + " snotel.index = pd.to_datetime(snotel.index)\n", + "\n", + "landsat.index = pd.to_datetime(landsat.index)\n", + "\n", + "merged = pd.DataFrame(index=pd.date_range(StartDate, EndDate, freq=\"D\"))\n", + "\n", + "# streamflow\n", + "if \"flow_cfs\" in stream.columns:\n", + " merged[\"streamflow_cfs\"] = stream[\"flow_cfs\"]\n", + "else:\n", + " merged[\"streamflow_cfs\"] = stream.iloc[:, 0]\n", + "\n", + "# SNOTEL SWE\n", + "swe_col = \"Snow Water Equivalent (m) Start of Day Values\"\n", + "if swe_col in snotel.columns:\n", + " merged[\"snotel_swe_m\"] = snotel[swe_col]\n", + "else:\n", + " merged[\"snotel_swe_m\"] = snotel.iloc[:, 0]\n", + "\n", + "# Landsat NDSI\n", + "merged[\"landsat_ndsi\"] = landsat[\"NDSI\"]\n", + "\n", + "merged.head()" + ] + }, + { + "cell_type": "markdown", + "id": "667bd93a", + "metadata": {}, + "source": [ + "Plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7c34a86", + "metadata": {}, + "outputs": [], + "source": [ + "fig, axes = plt.subplots(3, 1, figsize=(13, 10), sharex=True)\n", + "\n", + "axes[0].plot(merged.index, merged[\"streamflow_cfs\"])\n", + "axes[0].set_ylabel(\"cfs\")\n", + "axes[0].set_title(\"USGS Streamflow\")\n", + "\n", + "axes[1].plot(merged.index, merged[\"snotel_swe_m\"])\n", + "axes[1].set_ylabel(\"m\")\n", + "axes[1].set_title(\"SNOTEL SWE\")\n", + "\n", + "axes[2].scatter(merged.index, merged[\"landsat_ndsi\"], s=18)\n", + "axes[2].set_ylabel(\"NDSI\")\n", + "axes[2].set_title(\"Landsat 8 NDSI\")\n", + "\n", + "axes[2].set_xlabel(\"Date\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c4542d65", + "metadata": {}, + "source": [ + "Save" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61cf2db6", + "metadata": {}, + "outputs": [], + "source": [ + "merged.to_csv(\"Figures/watershed_stream_snotel_landsat.csv\")\n", + "fig.savefig(\"Figures/watershed_stream_snotel_landsat.png\", dpi=300, bbox_inches=\"tight\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "hyriver", + "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": "3.10.20" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/EE_metdata.ipynb b/EE_metdata.ipynb index 372cb8d..f14133e 100644 --- a/EE_metdata.ipynb +++ b/EE_metdata.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n" + "warnings.filterwarnings(\"ignore\")" ] }, { @@ -54,12 +54,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "nldi = NLDI()\n", - "usgs_gage_id = \"11274790\" # NWIS id for Tuolumne river at the mouth of Hetch Hetchy Reservoir\n", + "usgs_gage_id = \"09330000\" # NWIS id for the FREMONT RIVER NEAR BICKNELL, UT\n", "WY = 2019 # Water Year to analyze. A water year is defined as the 12 month period from October 1st to September 30th." ] }, @@ -76,7 +76,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -88,7 +88,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -152,72 +152,72 @@ " \n", " 2025-12-30T00:00:00\n", " 0\n", - " 172.669593\n", + " 175.279458\n", " 0\n", - " 0.121580\n", - " 72526.931766\n", - " 74.186356\n", - " 0.001754\n", - " -1.542932\n", - " 0.0\n", - " -3.768520\n", - " -0.331718\n", + " 0.124794\n", + " 74363.515221\n", + " 11.555812\n", + " 0.001313\n", + " -2.079786\n", + " 0\n", + " -0.229250\n", + " -0.733938\n", " \n", " \n", " 2025-12-30T01:00:00\n", " 0\n", - " 172.661561\n", + " 175.273753\n", " 0\n", - " 0.015232\n", - " 72528.440877\n", + " 0.020696\n", + " 74397.092450\n", " 0.000000\n", - " 0.001446\n", - " -2.025731\n", - " 0.0\n", - " -3.886196\n", - " -0.412349\n", + " 0.001381\n", + " -2.547281\n", + " 0\n", + " -0.106819\n", + " -0.759008\n", " \n", " \n", " 2025-12-30T02:00:00\n", " 0\n", - " 172.647718\n", + " 175.267525\n", " 0\n", - " 0.015232\n", - " 72529.957224\n", + " 0.020696\n", + " 74430.654153\n", " 0.000000\n", - " 0.001137\n", - " -2.507450\n", - " 0.0\n", - " -4.004585\n", - " -0.493898\n", + " 0.001449\n", + " -3.016645\n", + " 0\n", + " 0.014835\n", + " -0.785345\n", " \n", " \n", " 2025-12-30T03:00:00\n", " 0\n", - " 173.021182\n", + " 175.733510\n", " 0\n", - " 0.015232\n", - " 72531.429234\n", + " 0.020696\n", + " 74464.193919\n", " 0.000000\n", - " 0.000829\n", - " -2.990934\n", - " 0.0\n", - " -4.119638\n", - " -0.571880\n", + " 0.001517\n", + " -3.485282\n", + " 0\n", + " 0.136622\n", + " -0.809075\n", " \n", " \n", " 2025-12-30T04:00:00\n", " 0\n", - " 173.022314\n", + " 175.732291\n", " 0\n", - " 0.015069\n", - " 72517.665395\n", + " 0.021126\n", + " 74460.914994\n", " 0.000000\n", - " 0.000801\n", - " -2.885945\n", - " 0.0\n", - " -4.053641\n", - " -0.270350\n", + " 0.001511\n", + " -3.592348\n", + " 0\n", + " 0.220325\n", + " -0.977521\n", " \n", " \n", "\n", @@ -226,38 +226,38 @@ "text/plain": [ " convective_fraction longwave_radiation \\\n", "Date \n", - "2025-12-30T00:00:00 0 172.669593 \n", - "2025-12-30T01:00:00 0 172.661561 \n", - "2025-12-30T02:00:00 0 172.647718 \n", - "2025-12-30T03:00:00 0 173.021182 \n", - "2025-12-30T04:00:00 0 173.022314 \n", + "2025-12-30T00:00:00 0 175.279458 \n", + "2025-12-30T01:00:00 0 175.273753 \n", + "2025-12-30T02:00:00 0 175.267525 \n", + "2025-12-30T03:00:00 0 175.733510 \n", + "2025-12-30T04:00:00 0 175.732291 \n", "\n", " potential_energy potential_evaporation pressure \\\n", "Date \n", - "2025-12-30T00:00:00 0 0.121580 72526.931766 \n", - "2025-12-30T01:00:00 0 0.015232 72528.440877 \n", - "2025-12-30T02:00:00 0 0.015232 72529.957224 \n", - "2025-12-30T03:00:00 0 0.015232 72531.429234 \n", - "2025-12-30T04:00:00 0 0.015069 72517.665395 \n", + "2025-12-30T00:00:00 0 0.124794 74363.515221 \n", + "2025-12-30T01:00:00 0 0.020696 74397.092450 \n", + "2025-12-30T02:00:00 0 0.020696 74430.654153 \n", + "2025-12-30T03:00:00 0 0.020696 74464.193919 \n", + "2025-12-30T04:00:00 0 0.021126 74460.914994 \n", "\n", " shortwave_radiation specific_humidity temperature \\\n", "Date \n", - "2025-12-30T00:00:00 74.186356 0.001754 -1.542932 \n", - "2025-12-30T01:00:00 0.000000 0.001446 -2.025731 \n", - "2025-12-30T02:00:00 0.000000 0.001137 -2.507450 \n", - "2025-12-30T03:00:00 0.000000 0.000829 -2.990934 \n", - "2025-12-30T04:00:00 0.000000 0.000801 -2.885945 \n", + "2025-12-30T00:00:00 11.555812 0.001313 -2.079786 \n", + "2025-12-30T01:00:00 0.000000 0.001381 -2.547281 \n", + "2025-12-30T02:00:00 0.000000 0.001449 -3.016645 \n", + "2025-12-30T03:00:00 0.000000 0.001517 -3.485282 \n", + "2025-12-30T04:00:00 0.000000 0.001511 -3.592348 \n", "\n", " total_precipitation wind_u wind_v \n", "Date \n", - "2025-12-30T00:00:00 0.0 -3.768520 -0.331718 \n", - "2025-12-30T01:00:00 0.0 -3.886196 -0.412349 \n", - "2025-12-30T02:00:00 0.0 -4.004585 -0.493898 \n", - "2025-12-30T03:00:00 0.0 -4.119638 -0.571880 \n", - "2025-12-30T04:00:00 0.0 -4.053641 -0.270350 " + "2025-12-30T00:00:00 0 -0.229250 -0.733938 \n", + "2025-12-30T01:00:00 0 -0.106819 -0.759008 \n", + "2025-12-30T02:00:00 0 0.014835 -0.785345 \n", + "2025-12-30T03:00:00 0 0.136622 -0.809075 \n", + "2025-12-30T04:00:00 0 0.220325 -0.977521 " ] }, - "execution_count": 4, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -271,7 +271,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -304,7 +304,6 @@ " \n", " \n", " \n", - " date\n", " convective_fraction\n", " longwave_radiation\n", " potential_energy\n", @@ -317,124 +316,144 @@ " wind_u\n", " wind_v\n", " \n", + " \n", + " Date\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " 0\n", - " 2006-01-01\n", - " 0.005192\n", - " 199.833836\n", - " 1.508087\n", - " 0.044990\n", - " 71408.170160\n", - " 95.234192\n", - " 0.002439\n", - " -7.561317\n", - " 0.563703\n", - " 2.807882\n", - " 5.710911\n", + " 2006-01-01\n", + " 0.068364\n", + " 214.945984\n", + " 10.357649\n", + " 0.054106\n", + " 72753.678503\n", + " 107.852158\n", + " 0.003055\n", + " -3.338389\n", + " 0.091463\n", + " 3.342801\n", + " 0.910459\n", " \n", " \n", - " 1\n", - " 2006-01-02\n", - " 0.051767\n", - " 264.132482\n", - " 33.055034\n", - " 0.013663\n", - " 70799.285724\n", - " 93.932771\n", - " 0.004772\n", - " -0.944478\n", - " 4.532128\n", - " 4.467674\n", - " 8.864378\n", + " 2006-01-02\n", + " 0.000000\n", + " 254.142714\n", + " 0.084665\n", + " 0.067265\n", + " 73029.484303\n", + " 91.486908\n", + " 0.003090\n", + " -2.143214\n", + " 0.161195\n", + " -0.559634\n", + " 4.033410\n", " \n", " \n", - " 2\n", - " 2006-01-03\n", - " 0.016707\n", - " 214.292827\n", - " 9.209950\n", - " 0.030093\n", - " 71724.799553\n", - " 101.167170\n", - " 0.002966\n", - " -6.371842\n", - " 0.575387\n", - " 4.247262\n", - " 3.778855\n", + " 2006-01-03\n", + " 0.011927\n", + " 242.204453\n", + " 9.225596\n", + " 0.067936\n", + " 73256.813998\n", + " 107.238005\n", + " 0.003487\n", + " -1.811355\n", + " 0.107383\n", + " 2.769881\n", + " 3.616136\n", " \n", " \n", - " 3\n", - " 2006-01-04\n", + " 2006-01-04\n", " 0.000000\n", - " 226.581243\n", + " 197.144062\n", " 0.000000\n", - " 0.016272\n", - " 72808.304958\n", - " 101.368610\n", - " 0.003240\n", - " -3.462835\n", - " 0.002358\n", - " 1.485389\n", - " 1.450410\n", + " 0.024668\n", + " 74239.713135\n", + " 109.932230\n", + " 0.002689\n", + " -4.391122\n", + " 0.012684\n", + " 1.648244\n", + " -0.040291\n", " \n", " \n", - " 4\n", - " 2006-01-05\n", + " 2006-01-05\n", " 0.000000\n", - " 214.910143\n", + " 182.991867\n", " 0.000000\n", - " 0.033974\n", - " 73429.441947\n", - " 112.546583\n", - " 0.002849\n", - " 1.320337\n", + " 0.023489\n", + " 74969.586306\n", + " 112.016637\n", + " 0.002074\n", + " -4.712330\n", " 0.000000\n", - " -0.779809\n", - " 3.417216\n", + " 1.480716\n", + " -1.937328\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date convective_fraction longwave_radiation potential_energy \\\n", - "0 2006-01-01 0.005192 199.833836 1.508087 \n", - "1 2006-01-02 0.051767 264.132482 33.055034 \n", - "2 2006-01-03 0.016707 214.292827 9.209950 \n", - "3 2006-01-04 0.000000 226.581243 0.000000 \n", - "4 2006-01-05 0.000000 214.910143 0.000000 \n", + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2006-01-01 0.068364 214.945984 10.357649 \n", + "2006-01-02 0.000000 254.142714 0.084665 \n", + "2006-01-03 0.011927 242.204453 9.225596 \n", + "2006-01-04 0.000000 197.144062 0.000000 \n", + "2006-01-05 0.000000 182.991867 0.000000 \n", + "\n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2006-01-01 0.054106 72753.678503 107.852158 \n", + "2006-01-02 0.067265 73029.484303 91.486908 \n", + "2006-01-03 0.067936 73256.813998 107.238005 \n", + "2006-01-04 0.024668 74239.713135 109.932230 \n", + "2006-01-05 0.023489 74969.586306 112.016637 \n", "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "0 0.044990 71408.170160 95.234192 \n", - "1 0.013663 70799.285724 93.932771 \n", - "2 0.030093 71724.799553 101.167170 \n", - "3 0.016272 72808.304958 101.368610 \n", - "4 0.033974 73429.441947 112.546583 \n", + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2006-01-01 0.003055 -3.338389 0.091463 3.342801 \n", + "2006-01-02 0.003090 -2.143214 0.161195 -0.559634 \n", + "2006-01-03 0.003487 -1.811355 0.107383 2.769881 \n", + "2006-01-04 0.002689 -4.391122 0.012684 1.648244 \n", + "2006-01-05 0.002074 -4.712330 0.000000 1.480716 \n", "\n", - " specific_humidity temperature total_precipitation wind_u wind_v \n", - "0 0.002439 -7.561317 0.563703 2.807882 5.710911 \n", - "1 0.004772 -0.944478 4.532128 4.467674 8.864378 \n", - "2 0.002966 -6.371842 0.575387 4.247262 3.778855 \n", - "3 0.003240 -3.462835 0.002358 1.485389 1.450410 \n", - "4 0.002849 1.320337 0.000000 -0.779809 3.417216 " + " wind_v \n", + "Date \n", + "2006-01-01 0.910459 \n", + "2006-01-02 4.033410 \n", + "2006-01-03 3.616136 \n", + "2006-01-04 -0.040291 \n", + "2006-01-05 -1.937328 " ] }, - "execution_count": 64, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#It crashes if we try to get too much data at once, so we will get daily data for a smaller range of dates\n", - "Daily_NLDAS_df = getData.get_NLDAS_daily(basin_polygon_coords, begin_date='2006-01-01', end_date='2012-01-1')\n", - "Daily_NLDAS_df.head()" + "Daily_NLDAS_df1 = getData.get_NLDAS_daily(basin_polygon_coords, begin_date='2006-01-01', end_date='2012-01-1')\n", + "Daily_NLDAS_df1.head()" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -467,7 +486,6 @@ " \n", " \n", " \n", - " date\n", " convective_fraction\n", " longwave_radiation\n", " potential_energy\n", @@ -480,111 +498,131 @@ " wind_u\n", " wind_v\n", " \n", + " \n", + " Date\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " 0\n", - " 2012-01-01\n", + " 2012-01-01\n", " 0.0\n", - " 189.961892\n", + " 175.317943\n", " 0.0\n", - " 0.020069\n", - " 72932.843593\n", - " 115.136221\n", - " 0.002084\n", - " -0.202470\n", + " 0.043957\n", + " 74389.470457\n", + " 109.030771\n", + " 0.001155\n", + " -4.667959\n", " 0.0\n", - " -0.991600\n", - " 2.050845\n", + " 0.081822\n", + " -0.558455\n", " \n", " \n", - " 1\n", - " 2012-01-02\n", + " 2012-01-02\n", " 0.0\n", - " 182.659036\n", + " 190.995285\n", " 0.0\n", - " 0.074016\n", - " 72938.497667\n", - " 114.566230\n", - " 0.001812\n", - " -0.135426\n", + " 0.039480\n", + " 74712.288553\n", + " 109.286670\n", + " 0.001643\n", + " -1.237315\n", " 0.0\n", - " 0.471567\n", - " 4.762250\n", + " -0.740175\n", + " 0.180954\n", " \n", " \n", - " 2\n", - " 2012-01-03\n", + " 2012-01-03\n", " 0.0\n", - " 186.784356\n", + " 192.753042\n", " 0.0\n", - " 0.057585\n", - " 73102.016670\n", - " 115.180582\n", - " 0.001867\n", - " -0.252943\n", + " 0.053759\n", + " 74620.154296\n", + " 107.145735\n", + " 0.001624\n", + " -0.002920\n", " 0.0\n", - " 0.908515\n", - " 3.012314\n", + " 0.408566\n", + " 0.247697\n", " \n", " \n", - " 3\n", - " 2012-01-04\n", + " 2012-01-04\n", " 0.0\n", - " 203.650393\n", + " 184.589639\n", " 0.0\n", - " 0.016956\n", - " 73281.697993\n", - " 114.207124\n", - " 0.002370\n", - " 1.254940\n", + " 0.035818\n", + " 74777.246244\n", + " 110.945184\n", + " 0.001788\n", + " -0.652630\n", " 0.0\n", - " 0.281917\n", - " 2.012439\n", + " 0.532499\n", + " -1.118524\n", " \n", " \n", - " 4\n", - " 2012-01-05\n", + " 2012-01-05\n", " 0.0\n", - " 199.040962\n", + " 192.697172\n", " 0.0\n", - " 0.019039\n", - " 73114.227991\n", - " 115.751271\n", - " 0.002468\n", - " 0.890008\n", + " 0.036914\n", + " 74511.686009\n", + " 110.110180\n", + " 0.001602\n", + " 0.344281\n", " 0.0\n", - " 0.547861\n", - " 0.219101\n", + " 0.538491\n", + " -0.121633\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date convective_fraction longwave_radiation potential_energy \\\n", - "0 2012-01-01 0.0 189.961892 0.0 \n", - "1 2012-01-02 0.0 182.659036 0.0 \n", - "2 2012-01-03 0.0 186.784356 0.0 \n", - "3 2012-01-04 0.0 203.650393 0.0 \n", - "4 2012-01-05 0.0 199.040962 0.0 \n", + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2012-01-01 0.0 175.317943 0.0 \n", + "2012-01-02 0.0 190.995285 0.0 \n", + "2012-01-03 0.0 192.753042 0.0 \n", + "2012-01-04 0.0 184.589639 0.0 \n", + "2012-01-05 0.0 192.697172 0.0 \n", "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "0 0.020069 72932.843593 115.136221 \n", - "1 0.074016 72938.497667 114.566230 \n", - "2 0.057585 73102.016670 115.180582 \n", - "3 0.016956 73281.697993 114.207124 \n", - "4 0.019039 73114.227991 115.751271 \n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2012-01-01 0.043957 74389.470457 109.030771 \n", + "2012-01-02 0.039480 74712.288553 109.286670 \n", + "2012-01-03 0.053759 74620.154296 107.145735 \n", + "2012-01-04 0.035818 74777.246244 110.945184 \n", + "2012-01-05 0.036914 74511.686009 110.110180 \n", "\n", - " specific_humidity temperature total_precipitation wind_u wind_v \n", - "0 0.002084 -0.202470 0.0 -0.991600 2.050845 \n", - "1 0.001812 -0.135426 0.0 0.471567 4.762250 \n", - "2 0.001867 -0.252943 0.0 0.908515 3.012314 \n", - "3 0.002370 1.254940 0.0 0.281917 2.012439 \n", - "4 0.002468 0.890008 0.0 0.547861 0.219101 " + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2012-01-01 0.001155 -4.667959 0.0 0.081822 \n", + "2012-01-02 0.001643 -1.237315 0.0 -0.740175 \n", + "2012-01-03 0.001624 -0.002920 0.0 0.408566 \n", + "2012-01-04 0.001788 -0.652630 0.0 0.532499 \n", + "2012-01-05 0.001602 0.344281 0.0 0.538491 \n", + "\n", + " wind_v \n", + "Date \n", + "2012-01-01 -0.558455 \n", + "2012-01-02 0.180954 \n", + "2012-01-03 0.247697 \n", + "2012-01-04 -1.118524 \n", + "2012-01-05 -0.121633 " ] }, - "execution_count": 65, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -597,7 +635,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -630,7 +668,6 @@ " \n", " \n", " \n", - " date\n", " convective_fraction\n", " longwave_radiation\n", " potential_energy\n", @@ -643,111 +680,131 @@ " wind_u\n", " wind_v\n", " \n", + " \n", + " Date\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " 0\n", - " 2018-01-01\n", - " 0.000000\n", - " 213.800975\n", - " 0.000000\n", - " 0.043056\n", - " 72743.806196\n", - " 108.580816\n", - " 0.002056\n", - " 0.237548\n", - " 0.000000\n", - " 0.364702\n", - " 1.898353\n", + " 2018-01-01\n", + " 0.0\n", + " 198.823185\n", + " 0.0\n", + " 0.065692\n", + " 74043.572363\n", + " 101.241868\n", + " 0.002308\n", + " -0.483355\n", + " 0.0\n", + " 1.474492\n", + " -0.624291\n", " \n", " \n", - " 1\n", - " 2018-01-02\n", - " 0.000000\n", - " 204.065878\n", - " 0.000000\n", - " 0.014744\n", - " 72883.815261\n", - " 108.682097\n", - " 0.002514\n", - " 0.174304\n", - " 0.000000\n", - " -1.076387\n", - " 1.537924\n", + " 2018-01-02\n", + " 0.0\n", + " 175.506529\n", + " 0.0\n", + " 0.084249\n", + " 74245.108714\n", + " 111.431051\n", + " 0.001748\n", + " -1.955541\n", + " 0.0\n", + " 1.736017\n", + " -1.881512\n", " \n", " \n", - " 2\n", - " 2018-01-03\n", - " 0.000000\n", - " 223.960795\n", - " 0.000000\n", - " 0.043999\n", - " 72643.889605\n", - " 104.670993\n", - " 0.002524\n", - " 0.519115\n", - " 0.000000\n", - " -0.218272\n", - " 3.318727\n", + " 2018-01-03\n", + " 0.0\n", + " 157.508289\n", + " 0.0\n", + " 0.069291\n", + " 74152.145371\n", + " 111.903182\n", + " 0.000729\n", + " -1.906206\n", + " 0.0\n", + " 0.054652\n", + " -0.454372\n", " \n", " \n", - " 3\n", - " 2018-01-04\n", - " 0.000000\n", - " 260.845301\n", - " 0.000000\n", - " 0.016014\n", - " 72416.805059\n", - " 100.806345\n", - " 0.004571\n", - " 0.430183\n", - " 0.081611\n", - " 0.572277\n", - " 4.713699\n", + " 2018-01-04\n", + " 0.0\n", + " 196.765520\n", + " 0.0\n", + " 0.073295\n", + " 73950.082591\n", + " 105.006496\n", + " 0.001152\n", + " -0.193203\n", + " 0.0\n", + " 0.613430\n", + " -0.434191\n", " \n", " \n", - " 4\n", - " 2018-01-05\n", - " 0.000321\n", - " 219.271025\n", - " 0.038969\n", - " 0.023548\n", - " 72473.213601\n", - " 97.696687\n", - " 0.003904\n", - " -1.310952\n", - " 0.012962\n", - " 1.340124\n", - " 4.438616\n", + " 2018-01-05\n", + " 0.0\n", + " 212.062405\n", + " 0.0\n", + " 0.064570\n", + " 74163.945837\n", + " 104.498314\n", + " 0.002310\n", + " 1.280142\n", + " 0.0\n", + " 0.502772\n", + " 0.039818\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date convective_fraction longwave_radiation potential_energy \\\n", - "0 2018-01-01 0.000000 213.800975 0.000000 \n", - "1 2018-01-02 0.000000 204.065878 0.000000 \n", - "2 2018-01-03 0.000000 223.960795 0.000000 \n", - "3 2018-01-04 0.000000 260.845301 0.000000 \n", - "4 2018-01-05 0.000321 219.271025 0.038969 \n", + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2018-01-01 0.0 198.823185 0.0 \n", + "2018-01-02 0.0 175.506529 0.0 \n", + "2018-01-03 0.0 157.508289 0.0 \n", + "2018-01-04 0.0 196.765520 0.0 \n", + "2018-01-05 0.0 212.062405 0.0 \n", "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "0 0.043056 72743.806196 108.580816 \n", - "1 0.014744 72883.815261 108.682097 \n", - "2 0.043999 72643.889605 104.670993 \n", - "3 0.016014 72416.805059 100.806345 \n", - "4 0.023548 72473.213601 97.696687 \n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2018-01-01 0.065692 74043.572363 101.241868 \n", + "2018-01-02 0.084249 74245.108714 111.431051 \n", + "2018-01-03 0.069291 74152.145371 111.903182 \n", + "2018-01-04 0.073295 73950.082591 105.006496 \n", + "2018-01-05 0.064570 74163.945837 104.498314 \n", "\n", - " specific_humidity temperature total_precipitation wind_u wind_v \n", - "0 0.002056 0.237548 0.000000 0.364702 1.898353 \n", - "1 0.002514 0.174304 0.000000 -1.076387 1.537924 \n", - "2 0.002524 0.519115 0.000000 -0.218272 3.318727 \n", - "3 0.004571 0.430183 0.081611 0.572277 4.713699 \n", - "4 0.003904 -1.310952 0.012962 1.340124 4.438616 " + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2018-01-01 0.002308 -0.483355 0.0 1.474492 \n", + "2018-01-02 0.001748 -1.955541 0.0 1.736017 \n", + "2018-01-03 0.000729 -1.906206 0.0 0.054652 \n", + "2018-01-04 0.001152 -0.193203 0.0 0.613430 \n", + "2018-01-05 0.002310 1.280142 0.0 0.502772 \n", + "\n", + " wind_v \n", + "Date \n", + "2018-01-01 -0.624291 \n", + "2018-01-02 -1.881512 \n", + "2018-01-03 -0.454372 \n", + "2018-01-04 -0.434191 \n", + "2018-01-05 0.039818 " ] }, - "execution_count": 66, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -760,7 +817,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -784,7 +841,6 @@ " \n", " \n", " \n", - " date\n", " convective_fraction\n", " longwave_radiation\n", " potential_energy\n", @@ -797,125 +853,145 @@ " wind_u\n", " wind_v\n", " \n", + " \n", + " Date\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " 0\n", - " 2006-01-01\n", - " 0.005192\n", - " 199.833836\n", - " 1.508087\n", - " 0.044990\n", - " 71408.170160\n", - " 95.234192\n", - " 0.002439\n", - " -7.561317\n", - " 0.563703\n", - " 2.807882\n", - " 5.710911\n", + " 2006-01-01\n", + " 0.068364\n", + " 214.945984\n", + " 10.357649\n", + " 0.054106\n", + " 72753.678503\n", + " 107.852158\n", + " 0.003055\n", + " -3.338389\n", + " 0.091463\n", + " 3.342801\n", + " 0.910459\n", " \n", " \n", - " 1\n", - " 2006-01-02\n", - " 0.051767\n", - " 264.132482\n", - " 33.055034\n", - " 0.013663\n", - " 70799.285724\n", - " 93.932771\n", - " 0.004772\n", - " -0.944478\n", - " 4.532128\n", - " 4.467674\n", - " 8.864378\n", + " 2006-01-02\n", + " 0.000000\n", + " 254.142714\n", + " 0.084665\n", + " 0.067265\n", + " 73029.484303\n", + " 91.486908\n", + " 0.003090\n", + " -2.143214\n", + " 0.161195\n", + " -0.559634\n", + " 4.033410\n", " \n", " \n", - " 2\n", - " 2006-01-03\n", - " 0.016707\n", - " 214.292827\n", - " 9.209950\n", - " 0.030093\n", - " 71724.799553\n", - " 101.167170\n", - " 0.002966\n", - " -6.371842\n", - " 0.575387\n", - " 4.247262\n", - " 3.778855\n", + " 2006-01-03\n", + " 0.011927\n", + " 242.204453\n", + " 9.225596\n", + " 0.067936\n", + " 73256.813998\n", + " 107.238005\n", + " 0.003487\n", + " -1.811355\n", + " 0.107383\n", + " 2.769881\n", + " 3.616136\n", " \n", " \n", - " 3\n", - " 2006-01-04\n", + " 2006-01-04\n", " 0.000000\n", - " 226.581243\n", + " 197.144062\n", " 0.000000\n", - " 0.016272\n", - " 72808.304958\n", - " 101.368610\n", - " 0.003240\n", - " -3.462835\n", - " 0.002358\n", - " 1.485389\n", - " 1.450410\n", + " 0.024668\n", + " 74239.713135\n", + " 109.932230\n", + " 0.002689\n", + " -4.391122\n", + " 0.012684\n", + " 1.648244\n", + " -0.040291\n", " \n", " \n", - " 4\n", - " 2006-01-05\n", + " 2006-01-05\n", " 0.000000\n", - " 214.910143\n", + " 182.991867\n", " 0.000000\n", - " 0.033974\n", - " 73429.441947\n", - " 112.546583\n", - " 0.002849\n", - " 1.320337\n", + " 0.023489\n", + " 74969.586306\n", + " 112.016637\n", + " 0.002074\n", + " -4.712330\n", " 0.000000\n", - " -0.779809\n", - " 3.417216\n", + " 1.480716\n", + " -1.937328\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date convective_fraction longwave_radiation potential_energy \\\n", - "0 2006-01-01 0.005192 199.833836 1.508087 \n", - "1 2006-01-02 0.051767 264.132482 33.055034 \n", - "2 2006-01-03 0.016707 214.292827 9.209950 \n", - "3 2006-01-04 0.000000 226.581243 0.000000 \n", - "4 2006-01-05 0.000000 214.910143 0.000000 \n", + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2006-01-01 0.068364 214.945984 10.357649 \n", + "2006-01-02 0.000000 254.142714 0.084665 \n", + "2006-01-03 0.011927 242.204453 9.225596 \n", + "2006-01-04 0.000000 197.144062 0.000000 \n", + "2006-01-05 0.000000 182.991867 0.000000 \n", "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "0 0.044990 71408.170160 95.234192 \n", - "1 0.013663 70799.285724 93.932771 \n", - "2 0.030093 71724.799553 101.167170 \n", - "3 0.016272 72808.304958 101.368610 \n", - "4 0.033974 73429.441947 112.546583 \n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2006-01-01 0.054106 72753.678503 107.852158 \n", + "2006-01-02 0.067265 73029.484303 91.486908 \n", + "2006-01-03 0.067936 73256.813998 107.238005 \n", + "2006-01-04 0.024668 74239.713135 109.932230 \n", + "2006-01-05 0.023489 74969.586306 112.016637 \n", "\n", - " specific_humidity temperature total_precipitation wind_u wind_v \n", - "0 0.002439 -7.561317 0.563703 2.807882 5.710911 \n", - "1 0.004772 -0.944478 4.532128 4.467674 8.864378 \n", - "2 0.002966 -6.371842 0.575387 4.247262 3.778855 \n", - "3 0.003240 -3.462835 0.002358 1.485389 1.450410 \n", - "4 0.002849 1.320337 0.000000 -0.779809 3.417216 " + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2006-01-01 0.003055 -3.338389 0.091463 3.342801 \n", + "2006-01-02 0.003090 -2.143214 0.161195 -0.559634 \n", + "2006-01-03 0.003487 -1.811355 0.107383 2.769881 \n", + "2006-01-04 0.002689 -4.391122 0.012684 1.648244 \n", + "2006-01-05 0.002074 -4.712330 0.000000 1.480716 \n", + "\n", + " wind_v \n", + "Date \n", + "2006-01-01 0.910459 \n", + "2006-01-02 4.033410 \n", + "2006-01-03 3.616136 \n", + "2006-01-04 -0.040291 \n", + "2006-01-05 -1.937328 " ] }, - "execution_count": 67, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#combine the three dataframes into one\n", - "Daily_NLDAS_df = pd.concat([Daily_NLDAS_df, Daily_NLDAS_df_2, Daily_NLDAS_df_3], ignore_index=True)\n", + "Daily_NLDAS_df = pd.concat([Daily_NLDAS_df1, Daily_NLDAS_df_2, Daily_NLDAS_df_3], ignore_index=False)\n", "#set \n", "Daily_NLDAS_df.head()" ] }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -939,7 +1015,6 @@ " \n", " \n", " \n", - " date\n", " convective_fraction\n", " longwave_radiation\n", " potential_energy\n", @@ -952,111 +1027,131 @@ " wind_u\n", " wind_v\n", " \n", + " \n", + " Date\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " 5839\n", - " 2021-12-27\n", - " 0.018223\n", - " 219.984779\n", - " 7.729698\n", - " 0.026481\n", - " 71003.241333\n", - " 65.660055\n", - " 0.001950\n", - " -11.505627\n", - " 0.725131\n", - " 6.359012\n", - " 6.717583\n", + " 2021-12-27\n", + " 0.000000\n", + " 215.585818\n", + " 9.769874\n", + " 0.039912\n", + " 72529.989939\n", + " 91.719391\n", + " 0.002271\n", + " -7.786394\n", + " 0.039017\n", + " 1.786595\n", + " 2.803826\n", " \n", " \n", - " 5840\n", - " 2021-12-28\n", - " 0.002725\n", - " 214.808744\n", - " 0.018763\n", - " 0.019029\n", - " 70766.391160\n", - " 66.984720\n", - " 0.001898\n", - " -11.786303\n", - " 0.046239\n", - " 4.240648\n", - " 2.041985\n", + " 2021-12-28\n", + " 0.001721\n", + " 242.981600\n", + " 13.222718\n", + " 0.037248\n", + " 72055.041735\n", + " 92.103976\n", + " 0.002392\n", + " -8.281944\n", + " 0.128825\n", + " 2.207816\n", + " 2.206172\n", " \n", " \n", - " 5841\n", - " 2021-12-29\n", - " 0.000412\n", - " 205.754843\n", - " 1.239420\n", - " 0.013572\n", - " 70737.086034\n", - " 67.270818\n", - " 0.001965\n", - " -11.617362\n", - " 0.190203\n", - " 1.939715\n", - " 4.258089\n", + " 2021-12-29\n", + " 0.000425\n", + " 214.188933\n", + " 2.203079\n", + " 0.023991\n", + " 72149.819550\n", + " 101.637543\n", + " 0.002157\n", + " -10.105898\n", + " 0.056440\n", + " 1.884042\n", + " 1.980355\n", " \n", " \n", - " 5842\n", - " 2021-12-30\n", + " 2021-12-30\n", " 0.000000\n", - " 178.973635\n", - " 0.246624\n", - " 0.012914\n", - " 71102.204130\n", - " 111.694618\n", - " 0.002160\n", - " -9.993520\n", - " 0.067344\n", - " 1.640725\n", - " 3.325037\n", + " 238.938944\n", + " 3.195529\n", + " 0.028813\n", + " 72578.753508\n", + " 71.049166\n", + " 0.002715\n", + " -6.970592\n", + " 0.008458\n", + " 1.922519\n", + " 3.317903\n", " \n", " \n", - " 5843\n", - " 2021-12-31\n", - " 0.000000\n", - " 178.731055\n", - " 0.000000\n", - " 0.032721\n", - " 71057.141310\n", - " 112.494972\n", - " 0.002094\n", - " -8.306853\n", - " 0.000092\n", - " 5.121601\n", - " 1.422705\n", + " 2021-12-31\n", + " 0.005718\n", + " 246.012401\n", + " 15.210306\n", + " 0.029723\n", + " 72184.182424\n", + " 81.878491\n", + " 0.003049\n", + " -5.630465\n", + " 0.118558\n", + " 2.192883\n", + " 2.454171\n", " \n", " \n", "\n", "" ], "text/plain": [ - " date convective_fraction longwave_radiation potential_energy \\\n", - "5839 2021-12-27 0.018223 219.984779 7.729698 \n", - "5840 2021-12-28 0.002725 214.808744 0.018763 \n", - "5841 2021-12-29 0.000412 205.754843 1.239420 \n", - "5842 2021-12-30 0.000000 178.973635 0.246624 \n", - "5843 2021-12-31 0.000000 178.731055 0.000000 \n", + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2021-12-27 0.000000 215.585818 9.769874 \n", + "2021-12-28 0.001721 242.981600 13.222718 \n", + "2021-12-29 0.000425 214.188933 2.203079 \n", + "2021-12-30 0.000000 238.938944 3.195529 \n", + "2021-12-31 0.005718 246.012401 15.210306 \n", "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "5839 0.026481 71003.241333 65.660055 \n", - "5840 0.019029 70766.391160 66.984720 \n", - "5841 0.013572 70737.086034 67.270818 \n", - "5842 0.012914 71102.204130 111.694618 \n", - "5843 0.032721 71057.141310 112.494972 \n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2021-12-27 0.039912 72529.989939 91.719391 \n", + "2021-12-28 0.037248 72055.041735 92.103976 \n", + "2021-12-29 0.023991 72149.819550 101.637543 \n", + "2021-12-30 0.028813 72578.753508 71.049166 \n", + "2021-12-31 0.029723 72184.182424 81.878491 \n", "\n", - " specific_humidity temperature total_precipitation wind_u wind_v \n", - "5839 0.001950 -11.505627 0.725131 6.359012 6.717583 \n", - "5840 0.001898 -11.786303 0.046239 4.240648 2.041985 \n", - "5841 0.001965 -11.617362 0.190203 1.939715 4.258089 \n", - "5842 0.002160 -9.993520 0.067344 1.640725 3.325037 \n", - "5843 0.002094 -8.306853 0.000092 5.121601 1.422705 " + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2021-12-27 0.002271 -7.786394 0.039017 1.786595 \n", + "2021-12-28 0.002392 -8.281944 0.128825 2.207816 \n", + "2021-12-29 0.002157 -10.105898 0.056440 1.884042 \n", + "2021-12-30 0.002715 -6.970592 0.008458 1.922519 \n", + "2021-12-31 0.003049 -5.630465 0.118558 2.192883 \n", + "\n", + " wind_v \n", + "Date \n", + "2021-12-27 2.803826 \n", + "2021-12-28 2.206172 \n", + "2021-12-29 1.980355 \n", + "2021-12-30 3.317903 \n", + "2021-12-31 2.454171 " ] }, - "execution_count": 68, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1076,12 +1171,12 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1122,7 +1217,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1135,7 +1230,7 @@ " dtype='object')" ] }, - "execution_count": 72, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1146,12 +1241,12 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": 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YN/bLFCcq18x23ujnnZovXVSNKOT6IecF24Ebsy4EcL5kgtc24noWZa2ooOtR58gnn3zivKK+LkCcr7HGGk6pB4jy119/3cmVQ04VQP4Ufps4z5CjhFwtPHSpAqKTJ09OWh5yJZFfimNy0UUXOdNatmwpxxxzjDO9meWBLUzb4AGn2KFwKjKUwEGC6ldffZW37UAiJG4w5jT8KPQfjdpeXHjx4wuKV4HPm2++2RGPqG2EhEydk046yRFOYYDgAhCIerKs303Ea/vUvqLGCi4+2UCtQyXamqjpNiEctmgq5oeAwL5AKEGY4j2mw83CBRtiSolo5VCp9oSzAPcNF3P9ZgjhD8clDGp/XnnllcBP5Wof0gFJ4jiXcJ7hhoGk3759+8rmm29u3a6g5zcEFoQR3CYziRfuFYRTlPuhRBOcCLiRaD8lXnVw48VvQbkfJmo6hF6moGMLXjpoE6wDItXmVBQz6hxBrSpbp50owUPlxx9/7Di8Sjjh2KMDD5LHzeMH8WqC5HGcp3hNnDjR+Y2jAwQcLbjd9xqdf8oRVg4vMnBxXnfddZ2eElHazmHBj9Nrmh72g8WrhzQyBYXeACoi60Cw2Z7m1JO115MmejUBOHjm8rxuYl7guOAiCUFrhl+iYp111nEugrD/EbY1UcLRFnpNB9WTD04PwmDKLcHFFRdphEtxYVUiS4FwAIQnev+ZDgLaBxfgMMdKnUe5svkhfhHig9ME0bRw4UKngrbXdgU9v3H+QhyYognHEje7qMFNEy8cG4RvvNwCnFM4ngg3mw4EQI8+hGTV/kYNxDnEk3Kd8k2q60YY0EsSv49cnLvK3dJdHZxzuDaZogmhcnU99QIiFg8OuK7AsULvT0LhVJSgWi8utAgb2OxdPCVke6gA2MJ6jgpuLLDhAcoYKNB1Gk4OusL/+eef9ZYD8Ycu6kFRuUt4YtdB2OjHH3+sNz9uUgBVk22ofBhzzCvkuKAdw4D9RLVm3HgQorKJJ2wjnLl0QZ7BwQcf7AgThF50kGODLu3opm/emNNFuUhoX/29+hsCDsIJOSsI4yngQsHZgBjQBR7cQpwLNvyOFUo5IAcGxwVhCBO0tXlOZALaGd2ykU+Irtx4r5/X6Z7fOH/RBnooFzdnnC8qBy7KkQjgNiEU5iea9NwucMEFFziuoAKlGfCghnCPXymHIKiQnw6WDTcGy8a6C4FU140wIHyObvgI06Jiu962CuQe2R6EwoA8pxdeeKFeDirOOaQ46C418q1wrTJTMXAOIkfKBOcshK3NrSxHGKorQhBGwBMu6hPBZUH9IoRE8MNAgiF+hEgCNeuORAmeolDrBxdTPIkibwJiDWJOWcQqT+auu+5yfqQI7aF2DcICuIAiyRtPMki4hRUcBITjcCFHYinWjZs12gI3aNQnMpMi4dCgbWBJ48aBPBs8/WF7EFJEnRKEjfBUjpAStg2OCAQOntLDhv5wo8K2QFhiW7AMVWsKN2G4WHjytOWIBQUiBtt15ZVXOhdjuACqjhP2Ee2jQpCZgvAU8mtwbuF/vNeFE7YB4gAiQwfrh6hAnhPOE+Si4ZhD2OFCjmNiAjcLoQyc3/vvv7/jakEsoU4ZzjHsH8ZaQ5uiNpSqk4MbBtxOnAuZJN7bhAS2Hw8I6lwzCXt+Q2DBvUGoU9VAQwgU5wfcvVTjvAUFDwJ4kIGog5OEG7YJ1qfXNoMwhLuG3woeGvAZ9gH13nr06FEnnnXQQUW1uXJUME09iMCl0zspQCDh94HrB8QJwnMIH+J8QY4X1lMI+J2L6YBzBG4eat09/vjjTm0xXH8gthFCQztMmzYtUP4QwG9BtTvEDx7W0H54gEXtOL0WGM45vNA5CMnemB+13iDg8NvUnXWch7ieoKMHksMxVA9qoaHeFB5OsP2EdZyKshyB4umnn3bqvqALPKrBduvWzenijarVehdsvXJ4mG63tq76ZuVwlCxAF2rUvbn22ms96+V88cUXTq0R1FrCtrZv397psnvBBRfEf/rpp1BDpGAedJdFTZ/WrVvHd9lll/jXX3/tuZ+fffaZsy+YX3Xd1fcXFZvRVRhdzdFNHvVHJkyYkLJyuBdoA9SswTZieai4jGEQhg4d6tQAQkXdTOo4ARxfdIXHuaHaEyUBfvjhh8iHMjnwwAOd7+N/HZTDwL7hsxdeeKHe99CtHmUrUFdKtQG6+qMLt6oubILq85gf+2RWawaogYRq5mqZaF/UlkItGrN8gO37YVHVtFGDxo+g5zd49tlnnc9wvmE+VHxHfbV0z7ew3dbVy/YbQ1d21OdCSQ38rlHzCXXDvCqpe1W5Vy9zu1HnC9XP0SUd7YQaRli+rYJ1JpXDbXidc174nYvprGfx4sXOMlGeAqUDUFakd+/e8b322ssp96DX5AtzXFF3CbX4ttpqK6c9zFIoeH/PPfc45TRQvwvV9lEyBqVDzGs86jShpIGqMo5zAOc0rl1vvfVW0nJHp6gcHrb8SzERwz9UkCQoeHqG04Un0mw6WoTkG4Qz8MSNrtUIdWSSoE0IKR2YHE4IIRYeeughJ9kW4RqKJkKIgjlOhBCigRwdJMmi2zVy0ZBXRwghCgonQgjRGD58uNOLDomzSPLPtCcZIaS0YI4TIYQQQkhAmONECCGEEBIQCidCCCGEkIBQOBFCQoMx3DCsixqg1jbqOyGElCIUTiRnoLo1brJ6teJ05okSVGrmjT8cqFZ++OGHO0NEnHrqqc7QHqmOF9o4Vd0vr3lQxR2VyfEZKoij4jKGlUH1eAw86lWKDpXg0SMO1c6R4I2E7y5dusjOO+8st9xyi1MR2QRVle+88866ys7qO6imfPbZZ4caHqgcuf32251q/Outt55TtRzH1K8aOobPwXAzqEKP9sb8qBXnBYbVQfVxDHKOSu6ovI7RAf79739bx+5EBXMs0++FKvR+oGadekCw9bDE9qZaBwa8NsHoDhgaCctGZXJU+zaHftLBkCeoBr/22ms7+43zEpXZMQA3yS3sVUcICcXrr7/u/P/YY485g/hmEwwNsdtuuzmCBje4vffe25mOoUAw3BDG5oJ4w01agQFOMTQEhkvBdAwBBLGE4SwwTiCEH0QQxqDDcjCYrxozDkO6YMw/DAmDoTYwXA6GXMHwFuhhhxschq4g3uNoAtzU0XapbuqolYWCujg2GNLENpadDoYMwTiNGMYFQ8QoYYZhkzA0DI6tPpwRXFEIe69hSzBm4JAhQzzXB1EOIejHXnvt5flQgGFbMJ6ouQ6IP4y7iHHsDj30UGnUqJHzu8K68KCA7+ngnMZ4jW+99ZYj4vHQgAF6MbwSfiMYZgvLIjki36XLSfmghhHxGwYjyDxREmSIF5LM0UcfHXoIF7+hg/zmwVA+DRo0iL///vv15sdQEm+++Wa9ISYwzAmWNWjQIM+hPDBECoYn+vPPP+umYdgLfG/IkCHOcDEm06ZNc4b2Id68+uqrTjuBE0880XOoJ8WXX34Z//HHH51hisaMGeM7zBC45ppr6g3/guN/8sknO9895ZRTAh2eZcuWxdu1axdv2LBhfPr06Z7z3Xrrrc48N910k7N87FNQvvrqK+c7AwYMqLfPmI5ze86cOXXTMRTTxhtv7Hz26aefJn3noYcecqZjWB/9fFfTjzjiiMDbRTKHwokUhXBSYxxhfLTzzjsv3r17d2essv79+8cffPDBestZtWpV/P7773cuRBjLD+NC4aaMceg+/PDDlON5KVGgxg/DWGK4ePbt29cZv0m/uGPMp7POOsu5EOIzXJD32Wcf67hxEAAQHmuvvbYzXhVeGLsKY9vZUG2BMdoOPvhgZ9ktWrRwxufDNoGff/7ZGe8K+4nPMGYdtikMn3zyibNMLAPt2qdPH6d9Fi1aVE9k2l7ZEE7YB0xbf/31A+/Hr7/+6gitjh07Jo3XaAM3IH1sRXXztY27lw44hzAOHdoUxxnjf+Hcs42piBv5bbfdFt95552dcxvnUYcOHeJ77723M5aiDRwb/beAscjuu+8+34eBP/74wxmnDGPEYR0Ytwzn8qRJk+JRE0Q46QQRTl5ATOG7aIMgPPXUU878+N14gfEqMZ7ghRdeWNemYYTTSSed5HznlltuSZp+0UUXOdPvvPPOet958cUXrUJIjZloO04YqxHHf/78+YG3jWQGQ3WkqED45Pvvv3f+x2jdzzzzjDMa+IwZM5zChQr8DfseI9VjRPOWLVs6I39//PHH8v777zvhG+TlIKcKoYJtttkmKU8H45PpYHTxzz77THbddVcndNSpUydnOuxyfA/LRjgItj3CQQgbwFZ/7733HGtdgRHmMe4ZQlwIOyEv480333SG9cDo6QgvmcydO9cJTcCKR67Pr7/+Kq+++qoTPnr55Zdlq622ckYyP+aYY5yR1hGCwHJh4QcB23rQQQc5+TwHHnigE+pAuGrEiBHy9ttvy+jRo53cIoQjEPbAKOwYUf3MM8+s105RgpyXBg0aOKPGI9yBMFkqkCOCkBvaU4XgvECYB8tXtG3b1vkfxydTcD5svvnmzrbvsssuTjFNHF+cI8jnMcHQLmeddZZzLDF/mzZtnDAiju8bb7zh5ALpI95jH3Ee4thg2TjHsQyEgLzyzRDOQcgIbbn77rs7eWI4///73/866xgzZoysvvrqdfMj4R/nAI55oSf/I9QF9JCtHw8++KDzP3KEbCA0hrBZr169nJAu2iYMS5YskVGjRjm/G+QD6uBaBXr37l3ve2oarlH6mIk4dn369HG2xwTnFHL9cH3aaaedQm0nSZMMhRchOXWc4PjoT1YIC2AUb9jpyoEBGH29W7duSY6Jchl0ezxVqE45Tniqnzx5cr3PN998c2fdb7/9dtL0X375Jd6yZct6Nj2e+E0wKvpOO+3kOCXmOpSjc/bZZ1ufZlu3bp30RIv9g3OEz7ycCh20JZaBJ9bvvvsuaTmHHHKIs5wrrrjC2ia5CNXBEcD0DTbYIH7XXXfFx44daw2jKbbbbjtnfltoL0hoBccAbXHqqafGX3/9dd8wjh+HHXaYsx3XX3990nSMXq+Oqe7ELF261HEVTRDGgou44447Jk1/4IEHnGXssccejruq+Omnn+JNmjSpd06jzVZbbTXnnEQb6nz88cfOfu+2225J05Uzlm4YO5eO07XXXut8Fw5cKuDaVFRUONcH3XHUufHGG515VMgsrOOkwr4IrZkMHz48peOEl7p24RzAe/P4KO644w7P5ZHsQOFEiko4/fe//633HdyczBs8hFPv3r2dEIgfQYUTch1MIEzwGUIfNoYNG+Z8bgvZmTz33HPOvI888kjSdEzDjRP5DzofffRRXZ6EmeOjLtq4SadCzYswlcmUKVMcUYh15Es4Idy26667JoUFEWKCYMUxWbx4cb2wBeZB+NLkvffec46z/oJoMNsD4VB9fRDNRx11lCOsggARBPHVqVOneucfjtU666wTSlDsvvvuzj7rghH5WViGLnZNwaKf088//7xVBCsQWoZQqK6uTmp7CLFUIc98C6dvv/3WCakFCc/qgvDiiy+2fo6HHoT29YeVsMJJXa/efffdep+p3+5aa60Vnzt3bt10CKVNN9207rxTuVwIo+P9oYce6vsbvvrqqwNtG8kchupIUYFQhtc0dD9XHHDAAXLPPfdI//79nfATQnHoYh4k3GNjk002qTcN1jhAzyFbKAOhNPU/tgMsWLDA6TGDcBfCfAib6KAHl8laa61Vb7vRawmg2zdCTrbPEC5Khepebwvv9OjRwwl1IsSE7Ua4M9cg3IawJMKTCH1+8cUXTruj9xRe999/v3z44Yd1YTav0gQq/HHVVVclTUO3boRBFQirIAyMMCe6viP0ifUgBIhehChVkGrQX7QXuo4PGjTICX/q4FjhPFTnhg7OX4SXsV6cUwhF66A3mTq2CJXinMDxN0GIEAMU285VrNd2rmJ9CE+hnbHdqu1ThTvzDUoFIGSJ0OVTTz2Vcnuxj+iJhuOA0Lbtc5QXQK/KK6+8Mq1tQqgXoVWE3bbffnvr9Qrn2eOPP+6Uythjjz3qetWh9yhC1NXV1UlhZFJYUDiRnFFRUVF3cfJCfabmNdG7GitUvhEuNgp0HUe+Bm54uADihZskBBXyiMLeENQ6dJBTAl577TXn5YUSR8uXL3cEyjfffON0acfFE7VokJehcq1wwzWxDTKrcjn8PjNvvDZU92/b/gHkVUEIYL5MhBNuVJkcd9SuwUsXGYcddpjTdRt5OMjxUPsBcQDRiJwQHXUeAJwXXt3McZ4gBwgvlWMCsXvJJZc4eV3IY/Pr+q3aFN3xbdjaGuJM3WSRswKxrGoHqZwy/dzAOiBsw56ryGfywxTyhczkyZOdfLFZs2Y5eXq23DETCOIpU6Y4pS1sOUa4bkBkQmSjREI6IH8KAh7CzHyoUeD8g0DFvPi7adOmTv4ZhHO/fv2c3zDy3ACElHl9s51vaj6SfVgAk+QM9cO2FR7Un6r1eU2QeG2iki317+AJ7rzzznPqtOAmimJzeNKDa4C6KWGxXQCVaEHRv9qwt/WFhG7w0ksvOaIJCan4/+6773Zu5HAAhg4dKvlA7YNqQxM13SbQwoBjg5u3lyOU6riboD4P2t1MpIXbApA0HRUQUhdffLHToQDiF/Wj/FBthRu6DVtbwwmDMEJnAiSEQ9xDEOLcsIk0rCPM8tU2vfLKK77nKpzZYgAPGngIgUOLDiJwnaJICocgRztAhOkFLJUog5OH9xDPNuB84QEIbpFf/Sc8IKDmFQQxhDk6gMAxwwPEwoULHSdRJbzD9cX8EyZMsC5LTYfYJrmBwonkDNwUUeQO4QAv8aR6r9hCEAC94rym4WZqA7b7wQcf7PRew8UFPcbQ6wUoOxwXvLCo3nJBe9wgNAdgzXvtQ65RxRxt1Z0hOLHNcO4yDdMNGDDAcTN++OGHtI67DVvYFSIVN5n77ruvToxFRdAwL5wu9KZCmA9CSwc3ZRU200E7I9yIStI6qM4OkW2CnnRoT/QwtblXmZ6rxSCacH4+/fTTTmHIIOCag4cXtLMqpGoC4YheuuYLPR0BqpTjvVfvNYTb0JMSD0LdunULvW/KEUQvV124I1UAzi9cNhP0fMX5pvfeJVkmgjwpQgKDhEycdqhlZCY1oxgherqghw8SNIP0qkOvJ7NXHZJzkQhsLh/fQ90aJO6qpF3VYwXJvzZSJUIjmTMWizl1YUzQ2+mDDz6oe//kk086yzr//POT5sM8jRo1siapeyXTqyR6WyJtmKKeSAZu1aqV0xMLbaFA2x1++OHOci6//PKMk8NVLzAUl8Tx0UGCLGo1mcm0SIi/8sorrQm/6Im47777Ot9BD0Odc889N2UBzJtvvtmZZ+TIkXXTRo0aZT1vVIIuEoZxntl6v5kgkdfWqw7J/7ZedajfhPNIPwbo8aVqS5ntjRplYXrVoc179uzpfKbqmOkg8dxMlC/E5HC0AToQ4DigQ0UY1DE/44wz4mEJmhyOOnGYD8n4fuhJ+HrSOOp9Yf/MmkwsgFlYMMeJ5JQLL7zQcXyQoImnXzy5IYyAJyk8DcKmRphCz2fRgfuBROt99923ro4TwncIdagaNHCTkMOA93gKg8uF5SLJGEmwGNdKJe3iCRKOFGxy5DR0797dseJPPvnkQGEj1GqBjY8nRIx/hjG08ISIPArsH8IpsOIBcmZQCwl5DMjNwX7gKRLbBesfeRq5Bm2PBGs4cmgrJNIjNwcho6+++sp50kXIM1MQtkAeGIZIwbHFEzzyu3A8cNzhDiF/SB83DMcXITKEq5BQDZcF24tQFNxDOA7IUzGH1Ljmmmuc7yLvCe4PXAQ4WWrIFYRjsG9Ylu5wwQnCd+AUICyH8waO0fjx453cGIRRsOwgTsLIkSOd8xxth7Ah3FB1rOFGYPv1fC7UCYNzgER15OHhHIILiH2Eu2I6gmhPJBcjrIdzDvkxCIXiPMZvCiE5fflwJFDfC0PKoD3QzqrDAs5VOJ44HnrS+h133BG6jhPaRy1DuVuYpsZgQ4hMT8ZHIvwDDzzg/K1Cj5imxqvD7/OCCy6omx9tgWsF6qDBbbM5bl7bmipMlyk4L3GOI8dM5cf5DR2D6xTOP5yHcGJRSwtuGHLaTIcXw8vAXcPxRUI82gF1vnDNQK4b6sORHJJv5UbKDzz9ok7KJptsEq+qqnKeHuEEoWaPV/0d5Tih+zkcBThT6KKNSsFwM8ynZ9R10aswo2s4lmFzhj777DPnM9S48aoc7ueu/PPPP46ThirmcCVQPgBdjVEHyXzyRB0nOCWoCo0u1Khsjm3ycomy7TjpT7v/+te/nJpOaC9UNr/kkkvqlUEI2iY24IzgWKGCNtaD496+fXvHhbK5B5gftZTOPPNMp7o6jiG+g3MGbtKIESPi8+bN81wfygccd9xxdVXa4ephGaiJhCrwppOC8guo3o16OWuuuabzHbQFnJr999/fcaPCgGON78HRw7HeaqutHLfntNNOc9oP3eh1nn322fhGG23kzIt2QdVxuKhe7Y1jc84558S7du3quKhwY1E5HMvB/HBYTOCWoT1xfuI7aEuUcEA7mfuXTh0n9Tv1epklMvS6VraXee77zateNj7//HPnM1xz0iGI46RqSZmOsg3UXMJvH+cGzjGU/MBx8asbhusmznmcm+qadswxx9QbgoZknxj+yaVQIyQd8ISFbuc8XUmxA8cFbgx6SaHnXNTApYMDi3wbOEyEkGhhcjghhGQBJAnbkn/RK2/HHXfMWDTZlo+wIrrUYyicYukhR0ixwRwnQgjJAsghQq9FFDlE703kViFXCfkrqAuVKcjDQw8z5KGh5g965iG3CfldyOdJtw4RIcQfCidCCMkCqDAOIYNEdJQOQNI9BuNFIU0kPWcKKpyjOv7zzz9fF/aDy4SBfpEsTgjJDsxxIoQQQggJCHOcCCGEEEICQuFECCGEEBIQCidCCCGEkIBQOBFCCCGEBITCiRBCCCEkIBROhBBCCCEBoXAihBBCCAkIhRMhhBBCSEAonAghhBBCAkLhRAghhBASEAonQgghhJCAUDgRQgghhASEwokQQgghJCAUToQQQgghAaFwIoQQQggJSMOgM5YTNTU1MnXqVGnZsqXEYrF8bw4hhBBCskg8HpcFCxZI165dpaLC31OicLIA0dSjR49sHR9CCCGEFCB//vmndO/e3XceCicLcJpUA1ZVVUk5OW2zZs2SDh06pFTchO3G8yy38PfJNuP5lj3mz5/vGCbq/u8HhZMFFZ6DaCo34bR06VJnnymc2G48zwoL/j7ZZjzfsk+Q9BzaCoQQQgghAaFwIoQQQggJCIUTIYQQQkhAmOOUQb7B8uXLpdT2acWKFU6eE3Oc2G75Ps8aNWokDRo0yNp2EEJIOlA4pQEE08SJE50bQKnVscA+oZYF61ex3QrhPGvdurV07tyZ5yMhpGCgcErjoj9t2jTnSRhdF0vJmcG+rVy5Uho2bMgbFdstr+cZ5lm8eLHMnDnTed+lS5fsbRAhhISAwikkuODjgo7qos2aNZNSgsKJ7VZI51nTpk2d/yGeOnbsyLAdIaQgKB27JEesWrXK+b9x48b53hRCSh71cIKcKEIIKQQonNKEOUCEZB/+zgghhQaFEwnNI4884iTtKi677DLZYIMN2JKEEEJKHgqnMuGoo45ynt7xQjfvTp06yU477SQPPfRQ6N6BBx54oPz666+Rbt9qq63mbNtTTz1V77N+/fo5n0Gw5RPVfuYLHQQQuj366KOl1Nh2223lrLPOyvdmEEJIwUDhVEYMHTrU6RE4adIkeeONN2S77baTM888U3bbbTcnWTcoSNpFsm7UoJfiww8/nDTts88+k+nTp0vz5s0l36Dt1OuWW25xxvTD31OnTpUpU6Y404qFXOcMMUeJEFIqUDiVEZWVlU5NnG7duslGG20kF154obz00kuOiNLdnJtuukkGDBjgiBWImVNOOUUWLlzoGarT+eijjxxHC2JH55xzzpGtt97ad/sOPfRQ+fDDD+XPP/+smwZHDNPRA0unurpaTjjhBEfAQcBsv/328t1339V9/vvvv8uee+7pOGstWrSQjTfeWN599916LtfVV18txxxzjDMids+ePeW+++7z3D60nXq1atXKcZv0adj3gQMHSpMmTWT11VeXESNGJAlSzH/vvfc6QhVJz+uuu66MGTNGfvvtN8fZQXsPHjzY2XYzDIrv4Vjge/vvv7/MmzcvadsgOLE8rHudddaRu+66q+4zCGWs+5lnnnHWg3meeOIJmTNnjhx88MHSvXt3Z7k45qNGjUpyKXE8br311jp3DcuyHf8XX3wxKR9JbTeOH9oC5x5606njhnMQbWgeN0IIKXQonMoc3LjWX399ef755+umIfR02223yY8//iiPPvqovP/++3L++ecHWh7EEW6Ujz/+eN00iAfcqFOFsiByhgwZ4qwToOzD008/7QgbHdyAd911V0ecvf766/L11187QnCHHXaQf/75x5kHQm+XXXZxxNK3337rLHf33Xd3nCGdG2+8UQYNGuTMA4F48skny88//yxhefvtt+Xwww+XM844Q8aPH+8IHQiMq666Kmm+K664Qo444ggZO3asI3AOOeQQOfHEE2X48OHy1VdfOfOcdtppSd+BsILoeeWVV+TNN990vnvqqafWfX7//ffLRRdd5Kzrp59+csTgJZdcUteOin//+9/O9mEetAcqd0Povfrqq86xhqDBPnz++efO/BBMEHLHH398ndMG8RYUtd3PPfecs80Ax23GjBny8ssvO/trHjdCCCl44qQe1dXVcTQN/jdZsmRJfPz48c7/dQwcGI9365b7F9YbkCOPPDK+5557Wj878MAD4+uuu268pqYmvnz5cud/nWeeeSberl27uvcPP/xwvFWrVnXvL7300vj6669f9/7aa691lqd48cUX4y1atIgvXLjQc/t69eoVv/nmm51511hjDWcbHn300fiGG27ofI71Yb3gvffei1dVVcWXLl2atAx879577/VcR9++feO333570joPO+ywuvdYZ8eOHeN333235zJsbYDvbbnllvGrrroqaZ7HH3883qVLl7r3OKcuvvjiuvdjxoxxpj344IN100aNGhVv0qRJUts2aNAg/ueff9ZNe+ONN+IVFRXxadOmOe979OgRf/LJJ5PWfcUVV8QHDx7s/D1x4kRnPbfcckvK/dpll13i55xzTt37bbbZJn7mmWd67rvihRdecNahb3ejRo3iM2fOrJumjht+O/p55nfcrL+3MmXVqlXOMcf/hG3G8y13930TFsCMAoSl/v5bihXc0/Uwy+jRo2XkyJGOczJ//nzHMYI7sWjRokC5RgjxXHzxxU5+0mabbeaEaw444IBA34UjAQcGYS98z3SbABwmOErt2rVLmr5kyZK6MBe2FaEyuCnIQcI+4HPTcVpvvfXq/lahN1WtOgzffPON46DA7dFrfqHd4JypekT6+uCwAYTI9Gn4DtodIUiAECLCaQq4QEjo/+WXX5yikAhtHnvssY4zpMD+IhSmA2dNB9t3zTXXOK7e33//LcuWLXNeUeWT9erVSzp06FDvuLVv397zuBFCSKFD4RQFnTsX9XoRuundu7fz9+TJkx3xctJJJzlhpbZt28r//vc/58YcNMEXeUcIiyHvBmE7hNM++OCDQN9FLhPCRZdeeqkTMnrhhRfqzQPRgCE4bMtUuTfnnXeevPXWW3LDDTfImmuu6SS077fffvUGZkY+lg7EUzpjEOI7yOvZd999632GnCLb+pRYtU3z2wY1j76tCNdtuummSfOZA+SagghhyptvvtlJalc5behBl2rwaoRyXQMtge3cMNenjhuEuVk53CtnjhCSxoP83Lki667LpssSFE5RUJubUowgf+mHH36Qs88+u84VwE0NN1U1Dh/yVMJy3HHHyUEHHeQ4JWussYZsscUWgb8LlwmCB2UP2rRpU+9z5MUgvwk3XiR42/j4448d52vvvfd23sPpQGJztthwww0dBwgiLWrgksE1wzA/AAnlODZrr72241Ah0fqPP/5wkujDgDZCAv1hhx1WJ2wmTJjgJJkrUGZBVctXwEXCAL26A6lymPwwjxvHRCQkYuCoo6YehNOLL4rsuSebOAtQOJURCMPgxoUbIRJ0kWiMkBx6eSFhGcAhgnC6/fbbHdfok08+kXvuuSf0upB8jFDRlVdeKZdffnmo7+LGPXv2bM+xAHfccUcnXLXXXnvJtddeK3369HGEBZwtTENICgIGCe/YB7gaSJZOx0kKCpKzsW6E1dDrDcLm+++/d0Qp2iAT4FgdeeSRjphECA8J3gh9IqwI4HRhGkJ7//rXv5zjjLDh3LlzZdiwYZ7LRRshcfvTTz91BCp6U+L80IUTBA6cP4hO9E6EAwlnC8cGvTJPP/10+eKLLwLV2FLHDWIWiex9+/Z1Es7140YIyQB0LIFoArhuUzhlBfaqKyMglBAqwc0QNZ0QMkHvOZQkUGEddCGH2wRB0r9/f/nvf//riKuwQDjA8YFIU6IsDMhfUoO8mkAI4WaLHnxwp+C8wN3CzV3lDSEEBTGw+eabO+IJQg6OR7bYeeednV5v77zzjlP6ALldECLI88kUCJx99tnH6SWI9eC46OUG4O498MADjnhByG2bbbZx/lbhVy8gJtEmaBuUKYAQg4DROffcc51zAyIHThPcL4gn9JLEMVAlDCDeUqGO21ZbbeX04IPgNY8bISRNqqtFXnkl8d4oWZIxRni+nIkhQzzfG1Fo4KkebglqzqgEXQUSdydOnOjclPTclXIatT4oSFZWXc9LmajbTQeCBDWSgoTCSrG9Svn3FhY4pui4gBxCFUYnbLM67rhD5PTTE+/XXx8x9GjON9TAQ9oDOuQceaTIf/6D5Myyue+bMFRHIgcn3pdffum4VXCzCCGEZBnkNOn89Vd0y0YofvFi93XllcjpECnBIaaCwscWEjlION5jjz2csgIYD48QQkgWWbAAwzYkT5szxxU6UTBjRvL7l8r7gZiOE4mcoKUHSLBQXZD8IUJIGYNQmq1cDFyntdfOfPmzZ9df37JlGMdLyhE6ToQQQkgx8/rrib+1grqijfuZEbNmJb9ftKi+w1VGUDgRQgghxcynn7r/N24scvjh0Qon9B8zHSdTrJUZFE5pws6IhGQf/s4ISQEK1P72m/v3Wmu5rygTxFHmQIUBBw5MTP/++7I9NBROIVH1jlINS0EIyRyM82cbGocQUsvkybghuX/36SPSo0e0jpPuNmH5VbVd9Y1xP8sJJoeHbbCGDZ2qybNmzXIu5qVUTyWb9YhKGbZb9O2FeSCaUEcG49iZ4+4RQmr55ZdEUyARPGrhpOc3YdDunj1FfvzRXTZGYyihe2BQKJxCggs9qm+jKB8GxC0lcLNC0TOIQQontlshnGcQTWpoGUJICuEERwjiBr3d0OstauHUvn1COGH5+KwMq/5TOKUBBj5da621Si5ch5vZnDlznOFOSslJyzZst+y0FxxdOk2EhBROeBjp3l3k99+z5zgpEK6jcCJBwQW/1IaAwA0NNyvsF4UT243nGSFFKJyAEk5I7EZxzJYto8lxsgmnjTeWcoO2AiGEEFLswgnjyLVt6/6t5zll2LMulko4lSEUToQQQkgxgl6nU6e6f+sVwqNMELflOJW5cGKOEyGEEFKMzJuX+FvPNcqWcILj1KxZ4j2FEyGEEEKKBuQvKfQ8piiFkwrVoSMHQoGtWrl/oxRBmQonhuoIIYQUDxgn7bjjRM44w62anSv+/lvkyy+lKIQTksOjdpyQQwXB1KiRSNeu7jQKJ0IIIaTAue8+kQcfFLn9dpG77srNOufOFdloI5FNNhG54QYpSOGkKnpH7Tj9809COCnatasfKiwj6DgRQggpHp56KvH3/ffnZp0ffSQyc6b793nnucOcFLLjhJBa06aZ96pbsUJiah2qxx5QpXhQyxCDAJcZFE6EEEKKBz0MFcUgtkH45pvk9xdeKAUtnFAEU7lOcJyUuFmyRGTGjMBiJ4Y6UIo2bRJ/V1Ym/i6xQtBBoHAihBBSPDRvnhxCy4dweuONwnBavIQTUMJp4UK3EOb117uJ3RjCaKut3OTuFFTooTib4wSWLpVyg8KJEEJI8WCKpVzk2ZjCCduAZPFCFk5mgvi11zqhN4dPPhEZPz594VSpOU4Ys67MoHAihBBSvMJp3Ljsrm/69ESRSZ0ffpCicJzA2LEic+Ykf66H4TIJ1S2l40QIIYQULqqXV7YEDITZjjuK9OsnMmlSstvUpUvi7112Edl88/DOE0J8UYX5ggqn996r/93581MuvkIXqV6humV0nAghhJDicZx+/DHa5R9zjCs0EMpCeEtf/uGHJ887ZoxbUyqoEEJNpHXXFenbt74DlE3h9P776QmnII7TMgqnwuevj0Re2F3knq4iN8ZEJryY/PmbR7nT9deTm+VrawkhhEQFBIrpONnCaOmCpO8XtXvKqFEi06Yl3u+8c/3vvPmmyLPPBlv+RRe5g/L+/LPI5ZfnTjjZajkFEE4xJoeXyFh1KxaJdFhfpP/RIi/va59ntaEiQx9OvK9onLPNI4QQkiXQnd7s/q6GBImCt99Ofg/HRQ9z6WJE5957RfbfP/Xy4VB5JZxnMzncRhDHSRdOdJyKWDj1/pf78qNBpUjzzrnaIkIIIbnAdJvMQWgzxZYwredQYSDdI48UefTR5Hk+/dQNWekhLBsrVyb+btjQLQmAYUyyIZxQeqBFC7ccQRTCib3qilg4BeGvD0Tu6ijSpLVI921EtrxKpFlHz9mXLVvmvBTza0+ompoa51UuYF/j8XhZ7XMUsN3YXjzPcsTs2fW6gsdnz5a4xzUr7G8TvchiHp/FGzeWOITIRRdJbOFCiW+9tcS+/lpijz3mOGE1n33m1kfyW/7KlYnlf/CBxFu3Fjn+eIlfd51btDIkqOqNb8UrKyXeoEG92kyxHj0k9tNP9v2prvZsN4A200N1NdhWNX9lZd1xqFm8OFBNqEInzH2v9ITTav8SWXt/kapeItUTRT65ROSZ7UUO+1qkof1pYOTIkTJixIh602fNmiVLy6irJU6cavyY4nGpyOQpqMxgu7G9eJ7lhkZ//CHaiGkuc+bITOQhQThk+NtsM2eOqLtEvGFDR+jULat9e+ee4Dg7d9zhTGsaj0srCCeMPfzaa7KoTx/f5XdYvFj0rXSGM7npJllQVSWLTzxRwtJ+3jznJh5v3lxmqiFh9P3p2FEqNeG0slcvaVg7XMySmTNlvuU7dftbUyOttQT2mQiR1s7ffMUKUf5W9cyZssxnOcXCAt29KzvhtM6Bib/b9xfpNEjk/l4iE18TWWsf61eGDx8uw4YNS3KcevToIR06dJAqfeDEEsd5wojFnP2mcGK78TwrLPj7rE0ON4jF49KxUSOR9u0zbrOY3kOsf3+3/lEtFV26SMeORuRi991FzjrL+bPFV19Jc/Pz5I2RmEc+VsurrpIWJ50k0qFD6jIG2n7E4Pbg/1at6m8bpq++usiHH9a9b7DbbiJ33un83XT5cmnis72OA1MrJuItW0rHbt0SH7ZLyNdWCE/67XeR0EQvsVB2wsmkRRfXfZo7wXOWyspK52WCH1q5CQhcZMpxvzOF7cb24nmWAzyKNlbAGfG4eYf6baq8n+bNXdGhCadYp04SM5eBeXr2FJkyxQ3b+a0DosljXLcYBtOdMMHNobIBR22LLUQgEJFgrvKNaoVNrGVL+7o1gePMh159tcLJCfOlaBOE85x527RJnrdp00Tboxp5Cdwvwtzzin9vU7FkjsiCP0Waa4XLCCGEFHdyOARL1AniSjgh0rDaasmfebkqvXolvutX08hWEiBV4rsCrtbEiSK//ipy663uNAgWlUpiJoYrhg51/4coeOut5H1IlRyO8KbKcdITw0GZ13EqPsdp+UKReb8l3s+fKDJzrEiTtu7r08tE1t7XFUrzJ4l8fKFI0/Yia+2dz60mhBASZfHLtdd2nJ5ISxKoPBcIJyWIUgknPUSI7dBDWjp//ZW+cHr11cTfqAGlb6ufcNphB7fHH4TORhu501RPu1TCadEixwmzCqcm5T3Ib/EJpxlfiTyzXeL9B7W5Sf2OFNnhbpHZP4iMf0xk2TxXPPXcTmS3p0Uae5xYhBBCigNdXEA4vftuwnEaPdq52cuuu6bVQ83JH1JiAkLEdJy8wmhBhVMmjlNtLpND8+bBhRMYPDj5PURhEOGki1S9hhOg41Rk9NhW5Byf8vb7vZXLrSGEEJIvx0nx+usiSK5WlbyHDAm/bIgulXyeiePkRSrHyRxKRmHWYZoxo75wCtOJCfOi2noq4aQLOb9Q3dLyc5xKP8eJEEJIaTpOipdfTvx9zTXpLdsUIqZwCuI4+eVapRuqMwcxVoMKB3WcTJTIwvf9ahf5OU5NOMgvIYQQUviomzmSndGjzUbnNEeN0B0YiAsUfAziOOklBPwcp1R5WF7C6dtvsyOc4K7BZQuyPUwOT4KOEyGEkOJA3czhgHgJGb23XbrCySZEvGosBQ3V+eUw+YXqtJIIdetAT7ZMhRPwC9cFdZyWMlRHCCGEFL5wgiNkqRaeNB5cJo4TqC1uKWusETw5PJUQgXtz8skia60l8r//JRLZvYRVbaXvJJCjpI8jh3Hpsimc6DgVea86Qggh5ceqVYkCmLiRQ3DAdUJxSJ0lS9Jbvi3Z+qqr3PHnNt3ULtLC5Djpou+uuxLT8R6feQknmxhDvpQunExHKALhFGNyuCcM1RFCCAnHbbeJHHdcoodXLoBoUr3elFDAkCcm6YaObKG6Zs1E9tnHu8RAUMcJSdi646Sj9sUrVKeNF5eU56QLJzMfK5ehumXlVwCTwokQQkhwPvtM5MwzRR58UOTCC3PXcrbQ0ZVXZkc4henej4KSqnu+l3DCsk3RZ+4LHB4kgpvj8dmWCeHkJ2yiEE5MDveEwokQQkhw3ngj8fdDD+Wu5fQbuRIKSNh+7rlohFO6dZEQMlSuk5dw8hMh+ntU97788uR9sfV8y6bjhLHwNttMYs8+m5jG5PAkKJwIIYQER3WHB5bB0bOGV7IyQmn6NqWb45Su4wR04WQ6RqmEkylKLrvMHqbr3z/x9/Tpye2RrnCyhQd32knk88/r3saR22X22qss77HqKJwIIYQEBz26FF275q7lgoqPKHOcwgqn5cuTnSuFX1jN3BcdXTihZ58C60jXcdLLKsycWb8NTIdLJeLrNG6c+JvlCAghhJACFE5Bx07LdY5TkATxMI6Tjr6s3r2Tt1W1B3KsGoboIK+XVTCF00cf1Z/ftn0VFQnxRMeJEEIICSicvIpQZgM/8aHfyHOd42QKJ1svuLDCSQ2Fogsn9OxT+wjhpBynMInhpnAye0WqQZODOGKVtWKVwokQQgjxwa9WUTZJ1YusadPocpzChurg+ihsydx+226r36REkS7C2rVLCDrdcQoTplPLgdC0Cad33qk/v9fyK2uFE0N1hBBCiAeLF0dTpTsd/FwbvbZQpqE6iArUbwqDPr/ZRqm2fYcd6s+vBJPuOMHVUsIJITa1n2GFE5K9VZ6TLpzGjRMZPz6449Sktr3pOBFCCCEeTJmS/H7FivyWI4hSOKlQHcSJmQydTeG03XYiF19sF06646QLp4ULE9PDhur0ECsEmOoF+Mgj9nm9ll9Jx4kQQggpXOGUKlQXleMUNr8piHDy23aItCuusJch0B0nPVSnE9Zx0vOc0AsQFdnhHD7+uDutUaPkeb3Clk3oOBFCCCH+mAPO5iNUhxu2ymfSUdMyFU5h85tA8+bBHScvBwfCKGioTicdx8lMEEc1eBW2M4ex0d0tnUomhxNCCCH+/PJL/h2nIDk3qldaUCAAleDJhuOkhBPEnU30eQkn9T/yruAsRe04AQim339PvN966+Rt8TrGlZWJtsMAzGUEC2ASQggJxtdf58dxQh6OEh9eDksmA8/qrkqmwkn1qsM2XHCByA03JHoi+rlDulhRTpP6H2IR4ilbwunPPxPve/QQ+e9/697GzzjDvowm5TvQb4iqWYQQQsoWuDjffJMfxwnCRpUZ8Kodpd/IEa7zcnaiLn7p5ThhHL9rr02eD6LECz/HSX2WjVAdEsRN4TRokNS8+678s2KFtF1nHfsyKo2io2F7IhYxFE6EEEJS88cf9QeFzZVwmjYt8XeXLsGEU65qOHkJp48/rj/faacFF07YB9XTT5UPiMpx0sWnzXFCwvp228lKs7K4TpPydZwYqiOEEBI+TJfLUB0GtVV07myfR3eYUhXBhBsEJ0X1JMukariXcDJF5oABIgcfHLz6uF5oVAmdbCWHK+GEHnVBq8FXlu9AvxROhBBC0hNOuXKcgginoI4T8qWOPdZNdD/iiOyF6vTSDRAj997rFp/065mnhlQxhZOf4xSlcOrePVFVPBWVEYwPWKQwVEcIISQ133+fP8cpylDd33/nJlSnhNMaa4j89lvqZSA8hnAd9hXCSQ+T+Qmn1VYLv716WBAlJlDLKVUOlkkThuoIIYQQb1SdH4Rz4EwUq+P0ww/1xV/UjhOEiBIjPXuGFzRBQ3WYno7QQ1up9tLbI4xwqixfx4mhOkIIIalRPbzQNV5Vly4k4aTnOIURThA4Uec46cnWYYSTqlGF7ddDfV6O05prStqoEJ9egymMcGre3H9g4xKGwokQQkhqVB0lXTgVaqjOLzncFE7z5mXuOKE9GjZMCCdd9IQRTq1aJf7Wi1J6OU5RCCedMMKplbatyl0rEyicCCGE+INeU8pVQDhJiYRcO04QKEEKYIZxnFCRPNMcJ92BMYVTGDGiC6MJE+o7TrpYARROeYHCiRBCiD/6WGv5DNWhN5hXr68gwgnb+9NP9R2nTEN1ergOAjMKx0lPKM9mqE6nW7fg329Fx4kQQggJJ5xyEarDOlQPM68wXdAcJ4S/li/3d5wyFU5Rher0vC5V48mshp6JcLKN+aeXKchEOM2aJfLdd27phxKEjhMhhJDgwkkP1SGx2HZzhBDZc0+RLbYQ+euvzFoXN2G1Dq/E8KA5TnrStleOU7qhOiWcMDzMF19knjekCxzV3ihZoINSB1E6TkGLX5oCUxdOY8eKrLWWyAYbiDz5pP95UqRQOBFCCAnWo850nLxcJ1TIfvllkU8/Ffm//8t+j7qgoTqbiItaOCEfTOUnbbutSIsWwZdhc7v8xIzNNUpXOEEQ68c1Hcdp9mx3n9V7VGgfP96t0g6Rp5dYKGIonAghhIQL1SkHxJbnhBDN668n3uthq3RAKM1WuDEd4WQrfonlqxwn1CbS6xOFwTbIrd/YdEEdJ5XfpHj0UTdEd999khGmcPITpUGF0xNPJLtP778v0q+fm681caLI009LKUDhRAghJFyoTncmTOF0/fXJ79PNGTIrcZu1g6ISTrrjlMm2msIJidYIV0YtnDBMDByt44+XSIVTmPwmL+GEgaD9mDRJAgGhddBBIg88IIUIhRMhhJBoQnXoUfbii8nfzbTnnZ6vZCZHh00Otwmnu+923ZBMwnQ24bTVVsnOXLrCKUzeUS6FU8uW9YXT1Kn+37G1vw2IQ7hTEIeqYn0BQeFECCEkmlAd8prMKtKZ9rzTHSdbOCxMcniqG3eUjlM6Y8jZ1h9W0OQqVNegQUI8BRVOQcO2Y8bYC4EWCBROhBBC0itHYAqjUaPqfzdT4RTUcQoTqvMSCalCTdkWTjbHKUxtpVw6Tvr2msIJy1bbjeWqtrH1avQTymFcqhxC4UQIISR4qM4vx2ncuPrfzYfjZBNOqN+kwj69etnDcgivlatwCus4mcIJ5QbU0DgYBBqhtuOOE3nnHbdXnRJW+th4NtALTyeI2MoxFE6EEEKCOU4QTEjQ9grVmW6B+Xk+c5z08e4gRlq3Tv4c+3bUUfkVTjYx17WrFLzjtGSJK0pVcVFsM2p43X+/yIABiVpWEE36cQgyJE6mvTKzAIUTIYSQ4AP8ogijV6jOJpxy5TjpZQRswkkP+cAR0YdZGTLEzc3ab7/0t9Ps8RemYrieN2TWfcqW46Q7dJkKJ6APZWOKPb0IaCoHyRROdJwIIYQUbahO1VFK5TjpAidXOU76NtnWqQsniBGUIVD07Ruu+KMNU9T5bWtQMYJt8qtdFSWZhOrCCKdUDhIdJ0IIIUUNhJESRCq8ZXOcMJ/6W+8dlivHSRdOtjwavWq46eKsvrpkDNyiKNDFCASI16DGUWPWi8qH4xSPuwVUdeg4EUIIKSr0sJcSLrbkcF3g6MIpVzlOunCxiTX9Boww2hlnJN7vsotkDIYbiTqElq1SBIorrnD/R7HJsDWnTOH088+ZCye4TeawLMidwjA2BUQaLUUIIaQshZO6qdtCdV7CqVAcJz1EBOF00UXudzbdNBrHSRd16LUXxf6GGecuHS6+2C0ymW6RzVZpOE5+gz6//bZ9OgYO/vVXkZ12Si+kGDFMDieEEBJOONlCdfoNX7+h5irHKZXjpIQTkttxY4dYuPFGkQMOkEg44QT3po4k9RdeSH85CxfmTjgpVwttkg6tWtlzyEzhpDtnM2d6L++ttxJ/77ZbcpkIVBPHNITz8gyFEyGEkGDCSfVcK0THCTd/lQ/kJ5xwU880EdxLRGDoFgiDDTdMfzl65fVcCKdMaGWpOwVxbYYYMU2dE17CCcf5448TjiDcJfMc+/rr+jlQeYDCiRBCiDd6fklQxylbOU5mF3oTJejMUB3Enyp+mU6ZgKDoAqFYHKeohdOWW9qFqQoH6sIJJSG++sp1kb75JnGuQTQNHmxf51NPSb6hcCKEEJJ+qC5XjhPWnaqHmQrXmevU82qyKZyi4Pbbk8N/hcyGG9YP822/vX1eJZxQBgKFMmtqRLbdVmTjjd18M+QwKdZbT2TgQHvxT1Qkz3O4jsKJEEJItMnh2chxClIXyctxMhPDC5mjj3bF03PPueKhkOneXWTnnZOnbbedfV4zz+nzz12XCYwcKTJhQuLztdd2RfKee9ZfzqRJIl9+KfmEwokQQki4HKcwobqoHCe//KZUjlMxCafGjUVOO01kn32kKDj22OT3gwbZ59N77kE4vfRS8ue6cFprrfoJ4oouXRKDCecJCidCCCHp5zjZHCfk5qgQTlQ5Tpk4TmYNJxIde+yRaNNDD/WuB2UKpxdfTP5cJX3j+6qcA3KdIMTgPt19t8gHH7jHcq+98noEWceJEEJI+qE6m+MEdwjz6NXE8+g4xXTHSa8pRDKnslJk9Gi3R5yfoNGF0//+J/LLL8mf//ab+z9qaqnzCwIdIb3q6vqDEucRCidCCCHRJodD5GCeTIUTkoDV+sM4TuY6J09O/E3HKXpWXz11EVFdOEFoeYH8Jh24TQUkmgBDdYQQQqKt4wSR4yViMh3uJZ1QnXI32rZ1XyT3dNKSw1HvyguV31TAFJ9w+usjkRd2F7mnq8iNMZEJL9Z/Qvn0MvfzW5uKPL2tyOxx+dpaQggpjzpOer0lFarLNMfJFGNphOpiixZJTJUjWGed9Ktkk8zoqDlO06Z5z0fhlAVWLBLpsL7IDnfYP//yOpGvb3I/P/RLkeadRZ7dSWT5gmxsDSGElDbphuqicJxMMZaG49Tg998Tn/fpk/62kMzoGHA8vL59C76li89x6v0vkS2vFFnL0lXTqT56i8imF7mft+8vMvRRkZWLRX56Mh9bSwgh5ZkcrsRVJsIpAsepoUo6Vo4TyQ9t2iSPJ2gD9b8231wKneITTn5UTxRZNF2kl1aQq2GlSPdtRKZ+ms8tI4SQ0qzjVOCOE4VTgVBRkdp1Qt2mbIwjGDGl1asOogk0NwYYbNZJZL7Wq8Jg2bJlzksxf/585/+amhrnVS5gX+PxeFntcxSw3dhepXyexZYuFZUVVIPijFh/RUXdU3d8+XKJ19S4uURqviZNJNawofM+vmKF83laLFyYWE+TJimXE2vQwF3nypXOvGirBprjVIP8GV7f8na+xdq1k5hPflMNakLl6fiE2c/SEk51mMl/cd+EwJEjR8qIESPqTZ81a5Ys1Z+2ShycONXV1c6PpSLVmFCE7cbzrCx+ny3/+Uea1/49d8kSWTFzpjRetEhU37RF1dWycOZMaTNvntT6UTJr0SJpV3uDgXCaqQ/sGoLG06Yl1hOPO+vxo108Lo5fsXKls060WdvaMdDiDRvKTBTmTHNbyo1snG9tmzaVxsa0lWusIQ1r89BmDRwo8TwdnwUYcLgshRMSwZXz1KJLYvrima7r5MHw4cNl2LBhSY5Tjx49pEOHDlKV6UjXRfZDicVizn5TOLHdeJ4VFvn6fca0dbXBcBcIt3ToUDeteePG0qxjR4lp4bEOvXpJrDYnCdM7Bk0MNoHDVUuz9u2d9fhuq1pnTY107NBBalatkgaqhtMaa0jHbt3S244yJBvnW8xSj6ninnsk/tprEt91V+nQu7fkiyYqf6/shFOr3q54mvyOSKcN3Wmrlov89aHIVtd6fq2ystJ5meBkKTcBgR9KOe53prDd2F4le55paQwVECZYtyZoIIwccaVynBo0kApcT2vzjWIrVyaJr7TX3by5u24/tOTjCnQWmjPHCTU627H66ulvR5kS+fnWShv8uZaK9dYT2XHHenGiXBNmH4tPOC1fKDJP6yUxf6LIzLEiTdqKVPUU2egskS+uFmmzlvv6/GqRhs1E1j0kn1tNCCHlMVYdkriRGpGPOk56bz84YPoYdRxqJf+0bFl/GgRxkVF8wmnGVyLPbJd4/0FtiK3fkSJDHxHZ+HyRlUtE3jtFZOlckS6biuz3tkhjywEjhBASbR0n1ftNiRgk3dYmlGe9V53e3R29+Ti4b2FRZUl9CSKIC4ziE049thU5J+79OZ50Nr/MfRFCCMltHSclcHRxBfcnHeFEx6m0hVOzZumdF3mm+LaYEEJI4dZxMh2nTGo5Zeg4xRiqK+xQXfPiC9MBCidCCCHBcpxsg/xCFCEROwrhhMF4a+voZew4maE65jgVnuPUnMKJEEJIlODmrwuXfDpO6Emnwiqm44RthHjyEk5mgvjEiSJHHSXyxBOJaU8/7Q6Jgpdapy6cgtxkzeRwNbgv6N499fdJbh2nZgFcxAKEjhMhhBQic+eKrL66CGoP/fFH/rZDiRi9zo0pnMzhVsx5TMfp9NNFHn1U5PDDRWbMcKcddJD7PypLP/us+/eiRfWXGyY5fMoU58846j+FqNNDskQVHSdCCCHZ4oor3FDTnDkixx5bWMLJDInZQmp+obrXXkv8PXZs/XVWV9cXTmEdJ7hgangPhukKg5bMcSKEEJIt/v478ffPP+evnVWoUC8SbDpOegJ5KuG0fHny8seP904KtzlZQR2nKVOcCuIOFE6FQRUdJ0IIIdkiil5puXKcUiWQ6zlOEyYkL//HH+uvUwmmTBynSZMSf1M4FQZVFE6EEELKUTj5OU62kgX69psO0w8/ZMdx+uefuj/jbdVQwSSvtGSojhBCSCkLJ/SUS+U4qV51QYpk2oTTuHFuZXGbcFKOE3r06cvzQp9HH+2+CKtTlyRVdJwIIYSUsnBSNZrMHCeM0KDcnSChOj/hBFcJ5Ql0YWY6TkHr/VA4FTaV2jkEWMeJEEJISQkn23ArChWK8wrVeeU42ZLBkeeku0JmjlPQej96qI6OU+HTnAUwCSGElJtwMh0n20DA+vbDXTJBPpIujlT1cDpOpU1zCieSKd98I3L22fZkSUJIeWFW2y5U4YTyAkFDdfrQLDr4XHeczDpOdJxKk2bFWTk8QLYdyQm4cGy9tXuh+OwzkTFj2PCElDO6aMkXNkGkQMK2midVqE4JJ4hBlTOlg+FR1HAuYN489zuq5lOmOU5FeoMueRrXnkNFBodcKRTeeivxdAXhRAgpb9Ido+633+yuTtSOkxJIpuNk61Wn3DOV9G2iiyTlOIUtRQCY41Rc1Bi9KYsECqdC4ZFHkt/ne2BPQkjxOU6PPy6y1loi/ftHcw0JIpywHpszZctxCiqc4DiFLX5pirWFCxN/sxxBYbJqlRQjFE6FAC4SL7+cPG3mzGjX8d13IueeK3LGGSKffx7tsgkh2RdOQZ7OjzgikYD9/vu5E05BQ3X6fLo7hBuoLpyQHK4Ln6COE0N1xUVNcTpOzHEqBGCtm+M3QThFNUwALkq77CIydar7/oUXRCZPTs4pIIQUFqZjFDb8Nndu7nKcghbA1B2nFi0SSeCm44Qbqv7wGNRxYqiu8LnjDpHTTnPPj/32k2KEwqkQ0JMYFTNmRLt8JZrAX3+5F6oiTcwjpCwdJzgwYR529N98Nh0nPJjpos6vjpO+PD/hZG5/OqG6dHKkSPY54QSRjh1F1lhDpEOHomxxCqdCFU5Rhur0XIFcx5bxhHnPPSK9eonss09u1klIqQonc8gKHbO3mj7IbTaFk3kNC5rjpI9blko4pZMcrsMcp8KhUSOR/feXYobCqRDQY/nZcJy86qbkguuuE7nsskR14H79crNeQkotVJdKOM2enfwe4fhcCSdVsFKfL1WOExwnBUSTme+SqeOkQ+FEIoRJLqXqOD38sEjXriI33ZRfx0mJJpVbRQhJz3Gy/Y79QnNROE5BcpyACrnp8wXJcfJ7uIvIcYpjmu5+EZIhFE6l6jgdc4zItGki55yTX+GkY154CSHhQnVhhZOt2GS2HSe/HCevUF0q4ZSB4xTHdmNQYkIigsKpHHKc5swpDOHEZHRCMgvVhRFOmD/TnnXp5DilE6qLynHyEk6ERAiFUzn0qrMNqknHiZDSDtVFEa4LKpxsobowyeE24YTev5mUI1Awv4lEDIVTIWB7kozScaJwIqT0hdPff0cvnILmOKUK1aXjOGVaALMWOk4kaiicCs1xatPG/X/WrPSrqppuUqEIJ+YZEBIM/PZVXlC6oTovMZWPXnW2HKdUwkknA8eJwolEDYVTIaBfEFEUTAkbW25SOk+qhSKczBsBIcSOZZy5WDrCKdPBfoMKJ10QBe1Vp4fqvMawi8JxYqiORAyFU6E5TquvnvgbrlM6mBdLm3DKVR0nHbPAHSEk+AC/qUJ16EVrkkqQRCWcdMdHuT62HKcwoTqdTHrVUTiRiKFwKiThhOEUUHtJkW6PGPMiZHtSzYfjROFESNqOk2+oDmUHzAKYUTtOfjlONnGVaR0nHYbqSAFB4VQIqAsirOt27RLT0w3VBblY5kI4mTVkGKojJH3HyU844TP1YBImBJYK2+C9fo6TPi3VWHUM1ZGyFE5L/nFfJBrHCU9gunD655/iFk7mRZuOEyHZEU6629Sjh/dvMNuhOi/hlMpxShWGpONEinasuiVzRH54UGTiayLTvxBZVfuEU9FIpPMmIqvvJtL/GJFm7bOztaUunPAE1rZt6Qgn80JP4URI+sLJ73etu9MQTuPH50c46fNEleOE9QQdMoU5TqRghNOyapFP/iPyw/0iq5bVD8NAQE39xH2NuVRkvRNFBl8m0qR1lja7hEA76qG6KIRTkItlPoQTQ3WEpJ/jZBNTqRynbPaqs+U4pes4+V2PevYMXsrEVgCTlcNJXoTTg2uJLJ2TEEsQRB02EGnawX2/ZJbIrLEiS+eJrFwm8u3tIj+PEjk5wurXpQoubKpdcSGh40QIsYkkvwci03EK8p2wAs4USunkOHmVI/BD359UsAAmKRjhtGS2SLMOIn2PEFn3UJGOG9jnmzlW5Kf/iox71P0OCefKFGty+E8/ifz4o8guuyTnItBxIiQ3obps5zhBNKHXb5hQXZjK4Tr4nl4uBY5TUBiqIwUjnLa+TmSDU0UaNfWfD4IKr80vF/nurmi2sJxqOOXScYqqjhPE0SabuP+jlMLDD4vsvLN9DD7mOBGSfqjOTwTpwgm/Q4S24GRHFaqzhbtSher8xqpDSM0rhNa5c/I4dWGEEyuHk4LpVbfxualFkw7mHXRO+ltVTujiAo4TXurHXwzJ4b//nnCWULn49NMTnzE5nJDch+rat08MbBuV42QTOen0qlPLw/ZZ3KE64aSTqePEHCcSMazjlG90cQHHCU+KynXyE04Yy+qVV0Q++SS/wkkfowpMn574m6E6QnIjnHTHCcJJDVESVY5TKpGUKlRn5jhhPi/h1KlT+jlONseJlcNJXoTTr8+K3NlW5MnNROKWgWdrVon8dxN3HsxL0necgMpz8hNOL70kssceIltuKfLrr/nrVWcKJ4gllexOx4mQ3ITqdMcJ1w8lFrIZqsvUcTJzpryEE3OcSFEKp1+edksSDDheJGb5SkUD9zP0qsO8JP3kcKAcJ4gSry78hx6a+Pv66wvHcYITptZPx4mQyBynGMSH1/VAOU4QLuigkYtQXSY5Tmr7bK5TxI4TyxGQ/Agn9JYDqw31nqf3LsnzkvSSw4GeIO41Xp1+ATWLw+VTOOn7RMeJkPTwqNkU86rlpIQT3CaE+6MI1cE5Dus4BR2rTs0XRDgFrRrusTzmOJH8CKeFU93/mxtJezrqMzUvST9UF6Rnnd4rzrxYFIpwYq86QjIP1WkuilU4QeCoUB3ym3RHBz1Z0/2t4xqjwu5Bc5z86jjpQkxtn80h6lBbHzAdLMKpxqvsASFZFU4IxYGFf3vPoz5T85Jg6BdCdTEJO15dOsIpqnIENuGkpjFUR0jm14U2bfyFE8Z5U0JLXTv0hGjTdcL8Tz4pMnFi8G2IIsfJNmCwzXFCTpPqWXfUURIKW3I4hRPJi3Cq6uX+P9anNpP6TM1LgqFfTNRFR3ecghTB9AvV2fIQAEN1hBSdcLI+FJmlCIAK1dmE04UXujmSgwf7P0ClEk62a4tXqA7XG9tDok04ITT31lsit90mcuONEgpbqC5ohXJCIhVOPbZzbdavrhd57zSRBZrzhNDce6e7nyG23mP7oOsmZlFIdSEKK5xMEaRfXLt1C/adXOQ4caw6QsI/UKVynMxSBKbjZIotCBIwY4bItGnZc5x09wcCTRdwfsIJy1hvPbcmnH4tDAIdJ1IwlcNRNfy7e0Tiq0S+u9t9NYaKj4ksr71xQlg1aCSywSnZ3eJyEE76ExJs9VSY8+gXKFQRtlnydJwIKY1QnS6cgoTqgj7M2NxwnVTT8CCNkgPoaYvrjb4dSojZcpy8XPIgGEIsHotJXHffCMmZ49S2jzvsikoUxP/L5rslCvC3mr719e68JDi2i5N+4Qji0pjCST1hYnleT2wUToSUhnAKG6rzWk/UoTpdGMFxChqqy0Q4mUKsqsoVcITkpXL4wLNEdvmvSAtL6KdlD5FdR4lsdEaU21a+jpOes2Qb300J1VTCCRfPTTfNn3AyL8oM1RESDF3saA8/aTlOfp1F/D5LJZzgJpnCx3Sh1Oem45Qt4WQuj/lNJG+hOsW6B4usc5DIzG9Eqie6N/DWa4h03JCqPkrhlMpxMnOH/ITTOeeIvPGGe3E96CCRESPyJ5w4yC8hwdB/O7pwsrlHNscpaKjOLxUglXBSQklPMDd7sCkhY/aqU9e4bAsnOE6E5FU4AdienQa6L5KdUJ3uONmEU3V1cOGEC97//ueK3McfT8zjJZww/bvvRPr1C3YBo+NESO6EU9Dk8KChOj/hlCrHSU3Xl9G9u3eoTr/mqGtc1DlO5vLoOJG8hupWLXergiO3ieTOcbK5NGGEky54bZV8DarOO08qNtrIHQcPSZ2Z1HGi40RIeuhiRy9HkCrHKWyoLgrHyW94FD1Up19zlMCJ2nEyx7+jcCJ5E04zvhV5oLfI4xuJ3NuVA/nmMsfJ5jjNm+d98YPYUU+K5qjg+tOYh+PUbNQo9w/UUXn4Yf9txzJU2FAVrAMM1RGSGUq04FqgDTmSVjkCP8cpkxwnm8gJ6jgpwWQTTmZdujCYieAUTiRvwumDs0TW3FvkjAUi29wo8vbxIjURVZ4ud3ThZOtVF9Zx0i+SZjfcVMLJHJH9/PPtjpIt10qvF8XkcEIyQx/TTRNBMZvQUcIJgkPlGEURqgvrOGGoFHO+VI6TGVrDtS/KXnDMcSJ5E06zfxBZ9zCRRs1F+h3pliHgmHTRYEuYzCTHSb+whhVOU41xBjHcy5tvem+7LqpM4WQ+YQImhxMSDH1MN+137FuOAG6TEh1RhOqC5DjpjpEZpkvHccokTGeDjhPJW3J4p0Ei/xsusvH5bpiueSeRloYlWyh8epnImNqeY4pmnUROni4lU47AL1SnXyTDhur++qv+tFdfFTnggNTCCRdtbD+2F8LJdoFXhfBsCaGEkATq92M6Tn6hOhWmy2WvOj2/yiac9F51QXKcohZOdJxI3oTTjveIvLy3yPO7ijTr6NZzigXPK8857fqJ7P9u4n2sgG/UShjhSVFdTFKVIzAdJ8yD5eB7tiJzQYXT35ZBnNETb7fdRPbaq/5FTRdOuEDh6Q4XUi/hpLaVwomQ9EJ15u8KD0pqmj44uFeoLlUNuLDCaebM5FEKTPRQXR4cpziFE8mbcGq9usgR34ks+Uekacixg/JBRUOR5lqyciGj7HBY4cpmT+U4mcJJXQBx0fGz19MRTuDAA0WOOUbkwQeDCyczX0rfH6+LMCGkfqjOTzjZEsPV92wutN+4lukIJ12IderkH6oLkuMU9bXBrCtFSASEs42KQTSBuRNE7ukqcn9vkVcPEpn3hxQsShjpT1qpHCczVKc/Ofpd7FKUI4jpwunYY5M/fPRRkSlTUgsnkMpxIoR4AzHiFaozw262quF+oTrzQSzTHCcdm3DySg73cpyiFk50nEhBFMAsdLpsKvKvx0TarC2yeIbIZ1eKjNpc5KhxIk21C4vGsmXLnJdifq0gqKmpcV7ZJLZ8OYZKlnjjxhJX62rQoE7RxpctS0xX35k3z/mOTg3ECuZbvDjx3crK5O/GYonPVq6st1zkOKnl1gwb5q7nuefcCatWSfy22yR+3XWJ+efNq1teTYsWEmvZ0v3+0qVSU11tVeU1uCFkuU1zDc6ReDye9XOlVGB7pWDp0sTvtGlTiTdpkvgt4beln2ezZiXmbdcu8ZvWvhNfvDgxfdmypN9lfOHC+tcBTaTVXQ/wMGeZT19WDRwv81rVoIF7fcP1ZsWKxPWidvBf9Xnd9jRp4rk9QUnavxYt+NtMk3L7ndaE2M9gwumxDUQGXyay5p7BuopOeNFN0D7iW8k5vf+lvRkg0nWwyANriIx7VGTQMOtXRo4cKSPUUCQas2bNkqV+g2BGQIclSwRmdU2jRjKrNl8gVl0t6tlt+aJFMlfPI0DkdNYsMZ/L/vnzT1nZpo00nj5dlC+4aNUqWah9t9H8+aKk46IFC5I+A20nTRLldc1E7Zg77pCKyy6TDoMGSQwC7sEHZeawYXVF5lqMHSvKCK9u3FiaNW4s6rl03oQJdduhM3vqVKkpsRwn/OCqq6udi0yFWYCPsL1CkvT7j8Vk3sKFde9XLVgg/8ycWXeeNfnjD2ld+9mCykpZXPubrli0SDrWTl82d67MU9eW2bPrluUsf+7cetcXRct//hFVQWru4sWywjJf24EDpfHXXzt/z+neXVYZ87SLx8VJPFi1ShbMnSut1LYuXixLZs6U1qtWJV3LVlRUOPuXCXqSxtxVq2TevHn8baZBuV3XFqgyOpEJp1nfi7yyr0jzru5YdT22FemwvkjTDu7nS2a5VcX/+lDk56dEFhnd2vMJSii0H4A7uecsw4cPl2EQBJrj1KNHD+nQoYNUZdnqjdXa1xVNmkjHjrWXOq3gXeNYTDrCgn/7bZHVVhNZd11HxJi0hZWO72sWfbO2baWZWqaRA9G8sjL5M2xL7QUr3rGjdFQ9ZDDPdts5ZQkq5s1zL8a134t9/nndd1vtsovEXnut7n1rj5Bc+1at6r5fSheYWCzmnC/lcIHJFLZXCrQ8pMZVVdKhZ8+6941WrnSuE3XnmfY7a9Grl7RQvy3tAbeypiZxbTF+l41rl2cjpoXR2qDArW2+xx+X+AUXSHyHHaTdJpvUX0bt9Si2apW01K5NLVu3lpYdO0rMKJnSqGVLz+1Jh9Y9esiK1q3520yDcvudNgkRJg4mnFC7afxjIgv/Fvn6JvflF5/Hj7bvkVIQrFwm8s9PIt238pylsrLSeZngZMn6CVObcxBr3Fhial3aAYytWCGx//5X5OijXVE0ebI1L6ECeQz4vpbDUIH59e3Xks5j+FHonyEUp+o4deuWvN+rr55YJvKc0HsGeVbf1jqKAwZIBfIbNJFZoXdT1rcTQrEEf4S4wOTkfCkR2F4+aL9hCAtHwNSW+kByeNJ5Nm1a3bwV+F3ariErVyZ+60ZuIwpqJl0HPLaj3rVEse66Ii+9VC91oA7NXXZ+++pv7A+WZ1QJjzVp4r09aVDRujXPtQwop99pRYh9DDbn0IdFDvm8NlRX4Yoj2ws/H8xzyGciQx+SvPDBuSJ/fihSPVFk2ucir+wnsny+K/4KvVedQk+YxMULoglAHKE8gK0nTJDkcL9edTNnOk+F9YpZgt69E39PmuT+/9FHiXyG7bevn5BqS2AHTA4nxB89mVv9hpVzY6YO6B069N+t1+gDYZLDbTXmwqJfy3Sn3KuOU5Ak9DCwACbJa3J450Eie74gsuBvkUlvikz7TGRR7dNO8y4inTcV6T00/4UxF/4l8trBIktmizTrINJlM1fIVfWSoulVB8cOT2IQGabQwIXTdrHLVDjNmOHdOwYhQlM4vf9+YhpCeaZwmjtXrLB6OCH+2H7DCGlVV9fvVZdN4RS2V50N/ZqjL08JpmyXI4ALrg8NRUheetW17CYy4Fj3VYjs9pQUDRAvyrUxn+iUcDIvdJjmJ5zSreOkd2vGmFOphNPYsYlpW23l7zipfQEUToT4Yytim8pxQl6kno+J33ptz7Wk35z5IBZUOOXKcYpaOKHdKJxIxJR+4LLYBvg1L1TmhQ4Xn3QdJ786TppwivsJp3vvFbnsMpHvv08knLdtW399unDSL+gM1RGSdqhOvIRT9+71ezzbriHphuqy5ThlQzg98YT78HfppdEOGExIydZxKib8nuhU0qQpNBBSs7k2mYbqvArpqfd4olXr0Es3rLFG4m+vUJ2qKA7oOBFSH/wurrzSFSjrr+/tOC1Z4nQPd0C9OeWmmHmJQA3B5BeqU3XVbImxUYTq8pHjdOihIocc4oqmMqlBRHILhVM+8Uu+VMLJvNChV51+kVEXI1uoLl3hpA/dAHABgus0blz9ffASTnScCAnOI4+IXHGF+/eee3onh8fjEsc1Ae/1Qbm9hBPwE04AnU1sQ5NEnRyuP9RlO8eJThPJIgzVFXqozrzQTZxoFziqp51+cQqT4zRrln25Cq96VkEdJwUdJ0Lqc/fdib9fesmeHG6G8rwSw8MKJ69wnXoIw3Uj3aK1XqG6XOU4EZIFKJwKPVRnDuirkrNBmzb1L4hRhOpswslrsExdOOnro3AiJDgoDGvDCNVlLJxsOYZewsnW4zeqUJ1XjlPU5QgIyQIUTvnEzwpX780q4XrMXhdO6oIYhXAyk8PBaaeFc5z0nixMDifEHy9H10wODyOcbOH+dBynTMRMKscp2+UICCko4RSvEZnxrcikdyLdoLIiSI6TH61b119WhjlOGBhYH/Kljj32EPnmm+TEcD/hpMNQHSH+2H5z+m9K/22psLwunNCrLpMcp0JxnCicSMkKpz9eF7mvp8h/B4k8Xzuo7pObu4PpTn432i0sZfx6rQS5WOnCyeY4pVHHqQalBbwSKzfcUGSvvZKnYQyrVBc9Ok6E+OPl+vg5TmqIJIDhVrKV45SJ40ThREqQ8MJpxjciL+/tVg13usXWdo3tub07zMmEF6LfylLk9dfdLrNROU5BQnVedZxwHHXh5AfGptKXp4ssOk6EpAdKC9jwSw7Xw+H6tcBWx0mVMAgjnKJwnPSHNf3alKshVwgpCOH0+dUiq1aINDUSiNfe3/1/6icRbVoJg4vYrruK/P576hynsKG6dHKcFiyo+35K4QRB9+CDIpttJvLqq8mfeQkn3XFirzpCggsnv+RwP3fZvIaoBytbcrhZVDOXjhNznEhZCKe/P3Zdhn3eSJ7eto/7/0It7k7s2J7wzItTEMfJlhyeTo6TlhheYxa/tHHMMSJjxogMGZI8naE6QtLD7D1r/qZsOU5K8OB3bTo3XuPV2R5cvKr5R+04sRwBKVvhtKx2KI0O6yVPX6V+mB5PTiTZ4THJhuNkiq8gwimV4+QHQ3WEZCdU5+c4eT2wZCKc4IqreXOZ48RQHSlJ4dSk9sY674/k6b/XFm1raunKTsILp0xznHAxNZO88yWcGKojJPpQnRIimQqnVNOyIZxYAJOUlXDqspn7/+uHJqa9e4rIOye4N+quW0S4eWUknNLpVYdu/mqMKdNxsl1MAwineCbCyesCrie2moMLE1LumOPJpUoOV7/xMI6TerAK6jhFMdxKkEF+meNEykI4DTzb/X/mNwlH4/t7RVbiRxETGXhWxJtYgkTlOKH2izkYsF9Cpz6Qp5kcXkuNV4XwINgu4JjmVwaBkHLHy20Kmhzu5QjZHCebSLJNi2KAX0DHiZQg4YVT961Ftr9DpEFjNw6uXg0rRXa4U6Tr4KxsaEmRTeHk9xQKoatEjO78RHWRhDAzv4/t0C+eFE6EBBdOQZLDsx2qy6bjxBwnUoRYumIEYIOTRdbcU2TiGyKLZ4g06yTS+18iLSxF2Eg0oTpcgFBsUq8WDOFkFrlLdTHFciBedAGjXSTjmVwk1XrNnn36xZOhOkKC9agD6veoCadYLpLDc+U4MVRHSl44rVgi8t6prnOxyXCRAcdmbcNKmnQcJwwC2qVLsnBC3oNXqM5POAFdOGkXtHgQp8sPXOD1GwFDdYQEd5ww5pz+G1fpEGaoDr9f9RDi9VvXf8thhVM2HCd9mRxyhZRNqK5RU5FfRomMe0SkRZesbVTJk045AiWcdEzHCSHTVHkPNuEUVQ8aW886CidCggunoUPt85iVw/3qtUURqsuG46TDyuGkrHKc2vVz/1/mYy+TzEN1pvODLv024aQ7TvoFMF+Ok7leM8eJoTpCktEdWowHqfAazgg5Tn4jBEQRqovKcfISTnScSFkJp81HuL3nPjzPDd2R/DlOEEG64xTkYppKONFxIiR/jhN+5xjKaPvtRV58MTHdDNWlGm6lUHrVmTlM5nTz80xzLAkpyOTwr24QqWwl8stTIhNfd4daadgs+Slp//ei3cpSI50cJ5vjpM+Hi18Q+z5VqC7TCxdDdYSk7zjhd45xLPHy+l2ZwqmUHCezaC8hJSGc/vwwcXIjXDf9y8RnyLHhiZ89xwm96vyEU5Cn0FyH6rAdrONESHDHyYYunPA7j1I4ZTPHKZXj5CWsCClg0jtrIZBsf5Pc5jjpF0fkDqluyn4XU3Wh0nONspkc3rEjc5wICSqc9OGJdPTfcy4cp1wlh3sJK0JKSjgdPzErG1JWRJXjZAosfbn5LEeg06MHHSdCwoTqbFRUSLxJE4lBMCE5PMpedbkO1aFQropM0HEiZSGcqnplZUPKinRznDp1Srzv0KH+99IVTlEXwNShcCLEn7lzU4fq1EMJhFPUyeG5DtXpYonCiZSFcJo/JfU8VT3T25pyIZ3K4RBOmPbkkyJPPy1yySX+jlOaOU6RJ4dDOHHIFUK8mTHD/R+/E79BtvHbgshKJ1QXZpDfd98VGT7cvpyw2ISRLqYonEhZCKf7V0uRAB4TGablz5Bgwsl0mGyVw8HBB7sv20VNz5XIl+OUKlTHOk6EJDN9eiIfUB+I2+u3lc0cp3/+Edlpp+TPs+k4+e0vISWbHG7C3qTZEU5euQ8R5zgFGlw4bKhOvzhykF9CEtTUiMyc6f5t6zVrqx4ehXDC79zmQn3+uf9yonacsP+ElLxw6r51suNUs1Kk+g+RhdNEGjUX6bxxtFtYapi93/CUedBBIq1bp04OtxFhjpOTGJ7pE6DpOGG/Fi1KvKdwIiTBnDmJ30Qq4VT723IG+Q3Sg9ZPOGHUgXnz6jtOf/1VfznZdJx4PSBlIZwO/MDuQH19k8hH54sMPDuaLStVdHEzZIjIG2/YQ5+ZOk6pcpz0kJlynKKo2mtexLFvHHKFEP8wXQjh5GAOpB10kF8lkryE008/Zd9x4vWAFDnRBJhxcxx0jus4fX5VJIssWXRx07Kld76YLTk81cUxyMVUXbRsOU6Z1nACeghBwQKYhKQWTnqvWRv6b1rviRemV536XxdheqjOJpyiruPEnEdS5ESXmTftC5EVi0RmfR/ZIstCOHnhlRzud3HUbXaEAG2oixZcQpWrFqXjNHu29zoBrXlCMnecdOGUTqgOn6nPs+k4pQrVrbtu4m8zKZ2QkgnVPbB68nvcfFcuFlky2/27eYoff7kTVDil4zhNnpz421Ys0yZicBGL0nHSE827dnX/Z3I4If6lCMIkh6veb5kKJ1w78F4JJ+Qi6teQXDhO3bqJPPWUyKefilxwQfrrIaSghVP1JHt4SbkX6x4awWaVMAsXJv5u0SK44+T11KdPnzIlPeEUpeN03nkiDzzgng+4ICqwHuRVsRwBIZk7Tio/KYxwwm9S71WnrjFq2i+/pF5O1I4TOPBA90VIWZUjaFgpUrWaSN8jRDY+L5otK1WCjgsX9GKlCywVJoOw9cqXsIXNlHCKwnFaay2RH390e/0MHJi8XogmhuoISS/HKdNQnRJPallmqO7XX+3LyabjREhZCKdzWHcjI/R8Ar+aSUHrKdkEVvv23t+3CSfdvo+Cvn2910vhREh6jpMeqps6NXxyuF4WBL3q1DVCXZN0NzybwonVwknZJYePe0xk/OPew7EEGZKlnNGFk59QCSqcbPN5helswgkF6FT4LArHyQt1sWSojpD6wgmukVceYy3x/v0Tb/RcpKCOEwYH9hNOen6i13LCYnOX6DiRsnOc3jxKJFYh0vdwj+FYKjjkShSOk20wThu2Zfg9uZo1VKIaBT0VdJzyA8QxnAS/wWNJ/pPD8Zv1HcpKRLbbzj49qHDSHSe4V+pzv+FYAB0nQqIoR2AZcqVG1QXyGY6FBBdOfonjOjaxE8ZxinKAXz8onHIPhPGGG7q5M++9l4cNIL4g30j1jvMb3FfRtausXHPN+tODDvKbKlTnJZzoOBGShuOE2kwzx9YP2enM/tH9v0EWb77lJJx69RI5/XSR114Tefjh7IXq6DiVLi++KPLDD+7fO+7oP8YkyT14aFFjtQV8UFq25ZbS8LffkidGFaqj40RIhMJpwgsin12eeI8L8FtH158PVnPLXsHWXK4EFU7gttvcVzYdJ32QTeY4lRZ6l3VSeJgOUACWb7GFNH/kkehDdXqpAr/lhIW96khZ5ziZT6teT68cqy464ZSr5PBcCCeG6nJPqpwZUnTCaeX669efmGpcylS96mzuc1S94ILUcSKkyAh2BvfYNvH3mBHuBXmz/ySm4X2TdiJdB4t02igLm1lCRC2cMnWcGKojpGiE06pu3STerJnEVNgN1xC9Mr8Orsu4PqgaTl6hOnVd8upVlwl0nEj5Cqdt3JcSTmDzS7O4WSVMLhwnv151fsIpF6E61nHKHXScSk44OSIJ47t9/XWw+XXh5BWqA2oevZDthAkim28uGUHHiZQgLIBZio4TCmAWaq861nHKHUFLWpDiEU5AF06pjrGex+QXqsNydOGEPKo//xTZfnvJCDpOpARJL9iM0gOT3hSZM15k5ZL6nw/Wwngkt44Tnkj9Cun51XFijlNpod8oSckIp3jfvhI4e00XTqlCdfq1oEOHzN0mQMeJlCDhhdOSOSLPbCcyZ5z3PBRO+RNOrVt75zyYF7J77hG5667Ee9ZxKi30GyUpLccpKF6OE0J1+rXDDNVFdS2g40RKkPDC6bMrEzWbzHwK9LRjXkV+Q3WpCunpwkkXTXiSZTmC0oLCqTSFk20syHRCdWaBzFwJJ/aqI2VXOXziG6446j3UfY+/Bw4TadJWpG0fkcFMGvdFvzhlw3Fq08Z/fr9xoug4lRYUTqUpnHr3Tk7ijipUl418R45VR0qQ8MJpwZ/u/zs/kJi27Q0iezwvMvdXkRbdI9y8EqSQHCeTXOQ4wZVkBev8CCf2aCwN4YTf0ssvixx0kMhTT/nPq4pjLlnijlnoFaozHaeorgV0nEgJEl44xWvHpGveWaSi9ma4YrFI503cG+LXN0a8iSVGtnOcCt1xAryB50c40YEqDeEEdt9dZNQokY1S1M1DzqP6zc2albw+v3IEUV0LbPmWftcgQkoyx6mytciSWSIrFolUthFZOkdkzOUijZq5n1dPjH4rS4lCdpyyKZzM3nzMc8g+plDCjbplyxysmGRdOAWlVavE31OnBnecorg2KfBb18uQ8LdPyk44VfVyhdOi6SIdNxCZ/K7IV9cn8p3wOfGGjhMdp1xBx6mwyYVwUo4T+PvvYMIJ06Ps5GMKJzpOpOxCdRhWpXGVyIxvRDY4NTlvBS8kipP8CadUjpPf014ucpwAQ3X5qePEuk7lLZwWLHD/b9rUDaF5heqidp5NoUTHiZSd47TdLe5LsfszIj89KVLRUGTt/UT6HCAFwdi7RL68XmTRNJF2/dxt7r5V6YfqCjXHyQzVkexDx6mwyXWoTnebgJfjFPV1wBRKFE6krITTyqUivzzj/t1rJ5EWXVyxhFch8fPTIqPPEtnhLpFuW4h8f6/I8/8SOWq8SFXP8nac/NZJx6n0c5xI+TpO5rq8yhFEfR0wH9YYqiNlFapr2ETk7WNF3jo60aOuEPn6JpEBx4qsd5xIu3Vdt6llD5Hv7s73luXfcVLdk4MsK0oYqss9FE6FTb6FU65CdXScSImRXnI4es41yGI+TCasWi4y42uRTS5Int5rZ5Gpn1q/smzZMuelmD9/vvN/TU2N84qS2IoVdeNM1UBMZLr8Bg2S1G8NLpR+y2zc2FMt1zRuLPF4PPJ9BrGKisR+QzxmYR35Au2VrXbLhNjixUljmtWgjk8BbGOhtleuiS1a5ByfeMOGzivVsUmr3aqq6v3e482aSRzLaNiw7rOaZcsktny5uz24DkR4bGINGiSdh/GKikiX7wfPNbZdUML8rsILp/VOFPno3yI/PiQy8GwpOJbMdmtNNeuUPL15J5FJ061fGTlypIwYMaLe9FmzZsnSpUsj3by2ixaJep6bOXduclG6dFi1Sjprb2evWiU1M2d6zt502TKxZD04zF24UObNm+dcnCv8xrtLg1arVklTtY3Tp0tNlN2dC+AHV11dnZV2y4SOtTdmxYLp02WJz7lR7u2Va9rPn+9cgCFkZgY4Lum0W+N4XMzg/YpGjeSfmTOl6dKlddeC+XPmSBXEEzIyKipkToTnSYdYTPT4xKJly2Rhjs5Dnmtsu6AsUJ0nsiKcUL+paXuRD88V+eN1kU4DEzWcCmmQX7M7rVOt2t7Fdvjw4TJs2LAkx6lHjx7SoUMHqaqqinizEtvQsWvXyMf2a48hGFTyp3WG9p4ftencWVa2bu3sd9Q3tJi2Te0RTuzYUUoFXJxxXLPRbmmDmyuqRWu0bNhQWhZAuxdke+WBWO1DWaxFC+kY4Lik1W6rrVZvUqPWrd31aWH9qiZNHDccNGzWLND2BCVm5Ew1q6qSZjk6D3muse2C0sQvjSVj4YRil2pA3z/fd18m+RROEHWxBm6dKZ3FM13XyUJlZaXzMsHFKfILu8pxgk2ehSTJCuQv+IkxdEX2+i4unrFYdvZby3OowLlTYjfMrLVbuhiiCVQg56lAtq/g2iuPOU4QTghlZ6XdLJ1FYs2bu+vTbhQVKBFSm+MUa9w48PYEwrjOVcBtzuFx57nGtgtCmGtRemevGmtMr99UKGOQNWjsumCT30mejvddN5e8o4RTtkJVqRwsP1WdzfCZV3L466+L7LKLyNtvZ2/d5YhteBX2qiss1PHIVmK4VzkCW686CG11/Y66V52ZHM5edaTICe84DX1YCh4U4XzjcJFOg9yCnd/fJ7Jgisj6J5WmcMKysNxUpQhSXRT1Hn+5quO0667u/2+8URjCu1SwiSSOVVc44Lemfm/ZFE62VAObcNJzLVkAk5CIhVO/I6XgWedAdwy9zy6vLYDZX2Sf1wtjOJhsCKfPPnNHST/66PSFU9++IuusIzJ7tpRtOYJp09y8jxCx7oKFjlNhk4tSBOp3B/FU21PYQeUb6gIpm8KJjhORchdOiiX/iPz1oduLbb3jpeDY4BT3VWhkQzhhhPRUo6T7CafTTxe59trs5h0EEU75HPz3tdfcEed79hT55ZfsFgPNl3Ci41R+wkmF63ThpGo76dcgfXtYx4kQX9K7UyL0dX9PkVf2E3n3ZHfag2uK3NRQ5Ndn01pk2ZDtHKdU2ATBeuv5Jo3nbMiVefOys249f8OL3XZz55k8WeSFF6TooeNU2ORSOJlFMAcOzK1wYuVwIuUunKa874qlFYtrb0a1N6QBx4vEa0T+eC36rSwl8i2cbGGobFYM93OcTDGDulZR8s47Iptu6oYmDjooox5pRQeFU2GTT+G02Wb5DdVxrDpSdsIJA+fihte2T/L0Nfdy/5/+ZUSbVuLCKRdiJajjlC/hZDpPUQonrOOAA0S++MJ9/8wzIkGLmZbChZ2husIml8JJf0jr0CFRv8nLcYo6TI116rBXHSk74TT9C7fL+14vJ09v1dv9f9HUiDatRMm341RIwkmNjZUN4QTXyAz9BRVOYYqSTp4ssX33lea33ioFBR2nwkavUtyiRXbX9euvyZ1AFLnqVaevs1QeTEhZk0bl8IXJQkmxvHY6QnikuIRTLhKhbTlO2RRO2tiDvtMyDdUdfbTERo+WlqhSvPfeIptsIiUtnOA2R1ztvizRhUpLnD1ZRL/W6J1IchWq69cv+T0dJ1J2jlPT2lL5s75Pnj6utr5T8y5RbFdpgptOIQqnUnScMhFOYcYPHD068fe330rBYBNJmdbpOvxwEQwT9OGHkhUmTRJ58MHoc90K3XHKtnBCj1mAsgTnn2+/FujbQ8eJkIgdp+5bi/zylMgr+yemPb+LyKS33SfRHtuGXmTZoOf0MDk8u8LJFpbLhnAq1KRym3DKpMDod9+JPPGE+/e220ZfrBTLGzLEDSu9957Ik09KSZPLUN3++7u5fp06iXTubBdOermCqIUT6sPp0HEiZec4bfJvkYqGIvMnJSz7SW+5Peow3MnG50W/laWC/sSfL+FkW2+5O06mE5NuSKuQhJOttENNTfrLmzVLssKUKa4Q23zzRC7OqFFS8uQyVAc23titUebVwzabjpNZ6qScxyckJUH4M7jDeiK7/Z87mK4+Rl2zDu70dkYiICks4QSxa4brciGcbDlOppDJtnAyhZqiujoSxylWSMLJ3KdMhVO2hsO56y439Ifq9+VELkN1XujXAd2hzXbO41R2ICLFTXrdG9bcQ2S1nUX+/kRk8QyRZp1Eum0h0rAEhqoodeGkLoy6sMhFcngQx+mff/ITqotIOBVUZe6oHadsCacXX5SSBcfg1VdFdt5ZpGNtbmg+QnVeeP3us/EghdpRShyb5QkIKTLS7xcKkdRlE3fIFbhPFE3FJZx0yj1UZwqnMKE67Jfan0ISTvo+4cYMMZiJ+MlEdPmx/vruEDc6+XJgouaQQ9zBq9Gr7JtvvHuxFYLjlO3rwf/9n8gee7g5VvvsE/3yCSl44fT3pyIfnScy7fPayuExkS6biWxzvUjXwZFvZMlQKMLJrB6er1BdoQqnMI4TqpIr96CQQnW644SxyrBPmYifbA3MbGvrbLlbuQT7ANEExo0TuftukTPPLKxQHX6TuvDP5vWge3dXPBJSljlOf34o8n/bi0z7zE0Id3KcakSmfiryzHYif32UlQ0tCQpFOJWD45SrUJ2e+FqIjhO6oKtzLRPhFLR4aBS5WIUkQMP8tlGOQrWxGSq97LLk86oQhFM+y5MQUlbC6eMLRFYtdwUTetc17+z+DzD9owui38pSgcKp9EJ1cJzS+V5UvPaayKBBbv0jHXXjhtuker8WonCy5WLh/PAaCLpQ2Xdft7jkGWe47zFYtLmf339vF07ZHnKlEMeuJKSshNOsse6FeINTRE6bJ3LSVPf/9U9KfE6KSzgVSnI4biZBb5ipwjm5CtXpjpNeCydX7LabyNdfixx3nF2QYIBX1f07kxBYusIJ57zfelXbd+kisuOOxek6Yf9eecX9+847E8U8TaZNq3+OQTTls3t+vkYSIKSICf+LrawdaXvLq0Qa1T5t4/+tRrp/N6kdQJIUrnAq1BwnLwfCvEntuadbk+arr/IfqtNverawUz7Afqr9h+OktjHXjhNcl9VWc19//22fRxd4+nmZLYcrG9i21XSczG74ynHKdyI8Q3WE5EA4rV1bMXyhcSFU7/scHH4ryoVCEU7mxTIX2xLEcfITTrjpI9Tx7LMiL78s8tdfIgcemH/HSduHGLZv111FxubAdX3rrYTLoVDOjr4/uuOUa+H0yCOuWECRyyOPrP85BLRqawi8YhVOtnPW5jjZhFO+ShEoKJwIyUGvul47i/zytMhLe4kMOl+kqpfI/MkiX90g0rK7SK8dkxPEMUQLKWzhlItQgU042YSM13hqI0aIXH558rQ//shejlPQwWzN7X39dbcC9oQJkjVQD2foUPu2wD3U9yefOU4zZiT+xjAqaFc9n0cPbULg6WHPYgrV2YRTKsdJCcZ8O07McSIkB8LpxT3cCzHqN717Yv3PX9hVexMTGVZkSZ7lKJxyQdBQna3bO3qrmaIpFZmE6iAw8H1zqAgbNqH322+SVS6+2D4d7QnhpN/Ig+Q4YX/xXdtNNBPhpB9z5a78+98iV1/tvjcFXrE6TrYQrZ/jhPNQnTf5Fk50nAgJTXpWgz7Uit/LqfFE6ihn4RQ0VGcTTgjPeYGEW1tCeSaOU5hwndcwLulWHw+Cl3OktsVLONm+h5DR2muLdOvm1hvywhQyQRLNbb0k77jD3mXfzHEqZscJ+6ccp169Ej0vlXAqhKrhCgonQnLgOPWz5CqQ4hJOfs5CIQqnhx7yXi5u+AMGuInieptmKpwQVgoyNIRXaBHhOnRPzxQIlHfecW+wGAg3iHAynRw/4QT35/ff3b9PPVXkgw/syzaFDMRqqnPYJpzQrnBjsD/mduoUk+NkCqfZsxPDByExHu0EF1IJp0KoGu53LWCvOkIiFk5DHw79FVJgwqmQHSfTPYJw+Phj7+XicyRlQ1zsskt6oTpbGYGgjpGXcMIwIlEIJ1SfRsI5gCPUt294x8kvx0l3mWx5OV7tiXWlOof17UCI7tpr3b9/+EFk8OD626mvo5iFk96OXbu65yiEE+ZD2LlQil8COk6EhCaPBUTKkHIWTunmOOFmHySp+aefkt+HcZxsN+lMQ3U//yyR1WlSPPBAZo6TLbw2a1bibz+HzWwjr7a0OU4IVeki8scf7dtZKsnh+n7B0YF40kPLDNURUoZj1c2fIvLzUyLzJ4msNC6oeLodYlQxJi7lLJzSDdUFHSNt4sT0hZNtO4JUAYcQ8XKcohJOutjp2DH6HCeElRTt22dHOLVp44ZTa4nBcbKVTdCPQzE5TmaoVxdG+J1j/xUI1+misBBDdfnOuyKk5ITT5HdFXtzdHV7FCwonOxRO4YVT0C70CI3phAnV2bYjiOPkJ+qiEk46bdv6J2bbhFOqHCddOLVrFy5UF0Y4rbWWK9hxDLwcJz1kWkzCyXSc9P1AL0dURdeFk+6+5ls42R6iKJwIycJYdSuX+fSkI55QOGXPcVIuRlSOUxDh5CcekByeKeY2qO33crnUdNPJ8ctx0m/6SphF4ThhfvUdCCeIhXXXTbTNsmUSM52xUgnVmcKpmEJ1ENlBynAQUsaEd5z++dm9EK9/isgau4s04LhGRSeczPo6+cpxst1803WcUGwR+ToqTycXwslLwACIBuxnJm1tulZqO/UbbxjHCfgV9vQrhBrWcdJ71KlQVb9+TlX12KpV0gAJ1MVcxwni6MUXRbbeOrVw0kOgc+YUluNkhuog5IIUfiWkjAl/VW/RXWTeBHdsusaMhYdCv9nkUzjl48KYbo5TmGrXcJ223z58qM4mgNIQTvEddpAYBMM33yRck0xujF4J715j4qn2NLu7BxVOfu5eWMfJJpy0kgMxLK+Y6zideaY7pAxCkKZTpwsn/M71z9Euqq5TIQgn03HKtwNGSEmG6jb5t3vx/fyq+onhpDgcp0IWTmY5gqChOqAPcxLUcYIwsxXQRLfxVGjbv3ToUIm//XZyWCZT18QUTmp9tvIJ+ud6u+LGqAsnXYia4jDbwkk752P4Lej7Yfaqy4fjhOtaUKEO0aTOuenT/R0nPTkc9Z30ds+3UKFwIiQHjlP/o0UmvSXy5XUiX98s0qyjSIW+mJjIcbUF9UhhCqd8kEk5gqDoN+ugwskr3Bbkxq19N44bJIgy3GSG6tRQHV5ujE04QbDqQllvT/OG7yeczHWmE6pTbQR04YTtg4DIZ6gO24MCoxCrTz+dqJ0Vdky+VMIJ7aKXfdDH7isE4ZRvB4yQknScxj0q8ssz7t/oWbfwb3eQX7yqJ7klCkhhC6dcDOqbjVAdhgapqvJehx76USIJN2O1v7b16dP0EEqQUJF+PJUwjNI1QSKxDvbJy23S90VtF27aECVmqA4884wbZsqn46QENNoO25nP5HCEeVF9HmUoUDvLLG/hh9k2ZjkCvSo62kUvdZFv4WTLcSKE+BL+DooQnX4BZo+64hNOhRyq8+tVh+RiuCTHHZdaOKmbGW4M6qnadrPXt0G/wQW5cWvfjavjacvTCdJ134ZeKkAtJ4hwUv8rh8cWqvvPf+p/3xayjFI4mY6TLpxAPh0nMzR77rne86badz0HDfuMcx85XCpUpwunfAsVhuoIyUGobsFf7o136+tEeu8q0ohdV9MSTvpNJNcUk3DSHSfVVdoc18zPcVI3BoiYIMJJuTwhQ3V1Qti8+Q8bJnLXXSI33yxy8smSkXAK6zipbbIJJ7PuVVjHKcNQneM4qfWpcyOVcFL5aNn47Zjnxtix3vOiZ5wfZqhOtQHOz0JznBiqIyQHjlOH9d3/1ztBpN06IlW96r9IYTtOxZTjpL9XN1g9pBZEOPk5Tvox0cOAIUN1no4TBBPWe8opqZdnLtvs5o7lePWo83OcbDlOtnCtl3CCqxxxqM7ZP7U+W5jTbH8UjsSAud27i/zxh0SOuT9+wjCVcNJDdbpwUu2iJ4fnWzgxVEdIDoTTtjeJNGgi8r+LRVYE6HlEEmyzjetAnH56cu+rXJMPtyvdXnWm4+R3s8k0VBdWOOnftd38/dyhVCCkY1uf3zKVkPNznFSI3Vbs0ks44ZiYSfqpHCf9WHg5TupYB3Gc8Jv580+3Vtc990jkmOeGnzAM4zipY6DaG22sJ5Pnu9gkQ3WE5CBU9/qhIhUNRMbeIfL9PSLNOrFXXVD22MN95ZujjhK5+GL3yRg9iPIlnMIWwFQCIKzjpMRCmBynKHrVmaG2MNi+GzRUFyTHKUjbK8LUxLINHqxEg5fjpM4NL8cJ8z3/fOK9LcyYS8fJJmqDhOoUf/2VOI/z0VFDh6E6QnIgnNBzTln/q1a4veqCFNcjhQOcFdx8/v5bZODA3AunbIfqcB6mI5wyCNVZE5yjFk7Y1nRCdTbhpObBwMEzZ0YvnFQ4DWJIdb/3cpxU2+k3cX2dqI+l41U5vVAcJ/27NuGkhFW+w3SAoTpCQpPe444+Lh171RUnGHh00KDcCV09xymT5PAgwkkPLYUJ1enDTQRxnFL1qkt1g82W42SG6swcJ11Y6m3p1avO1hbmsUNSPaq2H364u34lnNZYI3HcUjlOOEfUeaKv8+WXk9f1229S0DlOOmqfdeGkKAThxFAdITlwnM4JUZCQkCjLEahleN1wcPNTY8TpNwYlorAsvPRtMXs6wiFB1/SwjpO6QerhpkIM1UE06e2jCycvx8nWFqbQOPVUkdGj3b8xmK/aBggnRapedar94Cjp6zTbAqEurN+86WeCuT+qB59trMEwwkntsy2nrBCFEwtgEpKSPAfYSdkQVTkCm+Okv4frpN8E9V51qZwF3OSUYxRFr7qoHacgoTq0l2pDr3IEehvoQi+TUN0LLyT+fuqpxN9rrpn423SczFCd3n76Ok2xCPEXpkBlEFIVR81UONkcp3zXcAIM1RGSI+FUs1Jk7N0iL+4pMmpLd9r4J0TGPSayWEsKJSTKIVe8hBO6qOvCSb/p6qG6IMJJCYmQobqc5Dhh2ydN8t8eW60wUzh5VUsPI5z8Qln6mIG6cAriOAURTtkI1wUdoidIcrgOQ3WElBzhQ3VICH9uZ5G/PkpOBv/pvyKT33bLFWx0ZvRbSoqbKAb59UoOh3D69deEcNLLLUA06csIKpzCOk656FWHWkbjxgUXTl45TnobpCuc/JKn9fnTCdWZ7W8TTr9HPB5mqvy3bDhODNURUiaO09c3ifz5YSI5XDHg2FoL/Y3oto6UDlGG6swbju44ffBB8s06R6E6ax0n8wZr/maCCiclfNDFXwlLJGLbtsfcH1uOUxShuqDDyHiF6vD9dEN1uRJOXuKwlHOcCiF8SEjJCSc4S7iQb3RG8vRuW7n/z6198ifETzjhBh42OTxIqO6ii5I/CyOccGPXQ3WphE6qXnWma6QLrVSo72KfO3Wq//kxx9i3J5Vw8gvVhelVl6ocAUCb9OhRf3ugBbEuP8dJb39VfkBPXI46x6lcHSfmOBGSA+E0rza3YPPLk6c3bef+v2h6+K0g5Zfj5CUi/Bwnr1CdfnM2K1ynynGy9aoDXsLO67s24WQKr3SEE5wKs7p0z54iBx0ksvbawUJ1uUgOt9GrV/JxNx0nvxwntQ60oXKcdPdK1Z7KteOE7Uknx6lYHCf2qiMkC8IpVvsVVA/XmVsrqCrCp02RMkC/eeOG6SVK0kkOtzkyCqxHz3kKGqoLEq5L1avOti1hhVP79vVvbrgJQ2x89ZXIiy+mdpzMHCd9HixbtWsmoTpbPbBu3ZLfGzlOMXVsbaE61f4YEFcfJkYJEL0yeS4dJ5Sq8HLmbKh9hiAxz41CFE4M1RGSBeHUujZ/BD3oFItmiIyuTQhvYzwFE2JelJHAbbvBB63jZI61ZwuDKFCIMZ1edUF61qUaq84kqOMEoaAGgkU1c6+bG27Gm20WznEyc5ywbNWuZtsrwQKxYKIvwyukaQpa3XHSv687Tvq+mmPzYX9VFfJ8CacgvS11dPGKorOFJpzMOlX5GMeSkJIXTmvu414o3z8t8ZR5bzeRKe+679faJ/qtJKUBQkxgypTg4SKb42S6G61b+4/Ll65witpxCiqc9DbAcs2bme4K6J+lk+OEeUzhhHl2311k9dVFvv9eZO7c+tuotyPaySaeMJyLl+OkCxBdOOn7g/bSh1eBiFTCCcIyrIiJIlTnd07owtA2zRzYuxDdHQ6ZRUhEwgnuknKYNj5XpN26yRfKeO0wDu36iWx0dqBFkjIEOS8ANzw10GmqBGVbcrguwvr39xZO998vsv/+4ZLDg4TqVFf6VDlO6YbqzOX65aGkI5xSOU6vvCLy6qtuzagDDrALJ309XkU5fRynJOHklwelO066cIradQpaANNPrNmcT/34FKLjRAjJknB68yiRt2p78TRqLnLQ/0Q2OFWkeVeRWAORFt1ENjxN5MAPRRr5hCpIebPaaom/Vd2lMI6T7ky8957Idde5N3ivJ/cjjnC/Y4Z/MgnVQfBBAPbu7Y7PVkvcVgAzXcdJF49Yrl8eiimcwtZxwrLVtqv16kU2MRh0KsdJjRGYSjjpjpMuSr0cp1wKpygcJ1sCeDEIpyOPTAybQwhJSYhMbs1hatJGZIfb3RchYR0nJXyCFGG0hepUD6vzznP/RgKxCcSCEg62GlKpetV53STPOishmB56KDFdrQv/Y9220FW6wskMn+jCSXdrgtZxShWq0+cH6TpOQUN1Xo4T9sfMcdLbItvCKYzjhO1q1ar+NP3cK1Th9PDDIhdfnFz/jBDiCceqI/kRTrhYK7bbLlxyuIktIRvOj7rJ2oZ7SbdXne6UadTlOGGdXgniUYXqdOGE9SlBkk45AluoztzvVI5TpqG6dB2nTCqzR+044Zibx12J6EIXTthGPIgwv4mQQISrHfDXx8nOkxfdtw61WFKGwkkxeLAbKrj99nCOkw6m44arCxP9JhZGOKUK1XndXHSnBOLL1hMtXcfJTDo2Q5Nq36NKDjcLPKq6RdgW3OwhlIIIJx/HSYIKJzM5XN+XQnKccN6YYVozqd9MDi8U4UQIyaJwembbADPFRIaFqHNCyjPHSQHBpAuDIJXDbSDcp9/o9JuYLpzM5YftVechnOpynMx1e60rKscJeDlOXnWcUjlOppOjhJOew5OL5HAzVAfhpB+fQspxCiKcCtVxIoRkMVSH/IhUryCOFClPzBvpuuuKbLRRsuNgOkJeyeEmZpjESzj5OU5BetV5OU76TdJLOGUjOVwXG6bj5FXHKazjhPIRqteY2s8gyeGmMNCOQ1qhOr2OU6E5ThDu5v6aTiGFEyFl6DhVWUIthcb9q4nMn5w8beN/i2x9Tb62iHg5Rgce6AoRP0coSKguKuEUJFTnsQ1JjpNXjlO6wsmvjhNQn0+eLPLCC/Wnp8pxMnvVeeUOQTip46GHIr0cJ6+EfVQND1rHqVh61eGYY/t0zOPWrnZYqkKu40QIiVg4HR/xwJrZAuPorXd84n0jXqAKhoEDRb7+2v17v/1S93oLkhxuG4ZFF05+jlbYXnVBc5zyEaoDo0ZlnhzuJ5ywrAkTEnlO+H5Q4aS21RROYeo4YQiaQqzjhPPGHOfNFE7mucNQHSFFSWn2qmvcUqR558SrMYVTwXD99SJ9+4oMHy7Sr19q4ZRrxylVqM7LcQoinLIVqvMaJiPIWHW2UJ2fcNLDrWqg3TDCqbadYvo2hEkOR1soZycfoTo/x8kUTrZK4uZ3CCFFR2mOyPvltSKfXSHSsofI2vuLbHyeSAPvMZiWLVvmvBTza59ya2pqnFe5gH2Nx+PZ3edtthH54Qe1Qvf/WKxOwcdXrpS4vv4VK+o+q4EA8Ni2WNOm6JZQR7xJk8RyKioSy4B40ZYRW7as7ns1tSKlbluWLEneFmdTY0nrqVtfw4Z17RZr0sQ6Tw3OsSBtu3x5Yhtqe9Xpy6uBU6HvQ+PG9vVBkNTUJG1zzapVjttT9x7LbtDAeR9ftUricIPmzrXvIyq0V1Ulvjt1qjOQr9f8tvPItq3xiopEOzdqlDhWODbz5yfWB8GI/enQwZkenzWr3vFJF/08qNuupUvrL3/JEuvTpnO+tWiR9Fm8ceP63//gA4ldeqnEDz20dqdqCuv3WWKwzdh2QQnzuwomnKp6isSKxJza6EyRjhu5RTqnfSHyv+Ei1RNFhjzg+ZWRI0fKiBEj6k2fNWuWLI1yPKwiOHGqq6udi3OFn7sTMRVz54rquL5s8WKZp5wMmDfz5okaUGXh4sWyWPtMp01Fhei+zLJYrG45lYsWiRoMY2F1ddIy2ixcWPe9WfPmSaOlS0X1HVs0Z44sNNbXduVKsUnweYsWSc3MmU67ta6oEJvnNH/2bFnqsf06jWbOFJUNs3j5ckfs6V7GnGXLZJW2nLaxmHWb5i9d6qyv5dKlotKW586Z47Rp3ftFi6QqHhfHG1m1SmZNmCCdPC4giyAEGjWq25bqX3+VZb16SdvZs+utv/rGG2WJZV87NGggZsB1yYoVMr923qZLlogqI7lgzhxpNmeOs23xBg1kJh5oFiyQti1buuubN09mzpgRSf2hThbHafG8ebLA2IcWs2eLzb9e1qCBYAl6CcyVsZjMMdugTx+Rp55y/w5wLhTC77OYYZux7YKyQHe3IxFOx2tDMOSDTy8TGVNf2CRx6JcinQeJDNTGyuuwniugXtlPZOtrRZoayZm1DB8+XIYNG5bkOPXo0UM6dOggVWbCZ4lfZOBOYL9zemHWbtSVDRtKR73+jxaWalFVJS3M2kC1xIzx6iqrqhLL0ZJyWzRpkrQM7K+iQ7duST3Emsdi0sxYnz6/TqsOHaRDx45Ou8U8zpmqpk2lCstDQcl33hHZaSf7+GZayKdZVZXEjaE82qEelr4PHrkyVe3bO+uLaW3YplUrx2Gqe9+5s8RUKHDVKungI0Kade+elEvWCmErLB8D7kLcVFZK/KOPnCT1lnvuKS31EKnaVksYs2mLFtLEcqxaVlYmhmbB8awNE8Zq2ywWj0tHtJWZ3xaWlSslVnsOwuGL1YZKmzVoIE3N4++RZ1fZqpU0Nuo0NWzePPlcLtbfZxHDNmPbBaWJ33BZRRmq2+A0kT4H+c/TylIjCHTZzP1/3m+ewqmystJ5meDiVG4XKFyYc77f+lAcCCWZ3edrqUDOiNd2GTdPJ3Sn5tWWX4E8Hn0ZWt5RBX44mghxwjfm+jxyXGINGybazSN3pQI3ZHyOMfRef11kl11EXnut/oxanpcT2jJ+0BVmIUiPHKcKnNOYT5u3wrbPtQIHgiGmajbZlgdRowm9CuQYYdm15Qti7dpJbJNNRPDywrKtaLu6dtZ+h86xqs2fghitm0cTghXo3Zdp7zStPRzRW9sGMYQtzePv4UA74U5jyJUYwqAR/47y8vsscthmbLsghPlNFYdwatbefaXDzG/d/5sbxedI4ZDt5HC/XnVh6zhZKoI7ieG6U5MqORyiSf8/bHK46bB4JSF7jVXn1asOn/kNY2Imh0+f7n5H1X0yu9vbsG2r7kyZyeFquBfdmdOFEtyuTF0dvT3gYCnxaIbvEBa0DT8DcPxT9aojhJQExSGcgjJ1jMi0z0R6bAfvXGT6lyIfnC2yxh5unhYpXeHkV44gSK86JX5SlSOwTTNvkF5lE9LpVYftSrV8rxt02HIEShx4AfHSuXPyvBhgWbWhXirAC9u2evWqg0hRbeEnnDJFbw89zKr2C+s45xyR++7zXgbamMKJkLKgtIRTg0qRX55286FWLRNp2UtkwPEiG5+f7y0jfkRRxynTcgRKZKQqgGkbg850UcaPt28j1mWuP5XAsjlOJl69QcKOVZcqYdnmOOlVxtN1nPT165/rIk7P89JzuqIWTrr4UdMPOUTklVf8l4E2NnPbUpUjIIQUJaUVKO+0kcghn4mcNk/kzCUix/wssvllIo0yTB4l2SWXdZy8xqpTIiNVqC6I44SK6IoTTkgWRGbPDZsLlSpUZ+KVlxR2rDqzJtO11ya3PdwmvUI2hE1Y4WRznLxCdbpwyqbjpAtJXThh+scfpxZNgKE6QsqG0nKcSGk7TtksgKlu2H6hOogcm2NkCoajjnLFTM+erthQIR5837zRYx2mM2FWDk+VK2OOLad/N4jjpLcPQm+KzTYTGTNG5D//Edl558RwJ3CdUBogG45TPoSTn+N06aXBlsFQHSFlA4UTyT9RDPKbbo6TEinqho111I6nVi9U51U12hy8GKGkSy5x/x492rsStlqmGeIxHSe//fYTTmGTw00hgjZED7m3305eLsQghl2BePr772gdJ69QXSbCSfXM9Cq14JXjNG5c8v6ZqPNELdsUhUwOJ6QkKa1QHSlOcGNXN7V89arTb3Lqu6ZQsuU3AX3gWRP9ZmoL1dnEmCmcUiWVe4XqUjlOmG4KM91x8uodqCeIQ1xky3HS863SFU4IPQ4aJLLBBt49Br0cJ100bbFF/f3Q29V2bjLHiZCShMKJFAbmeGm5Tg7Xb9hqWaao8XKc/LrDm4PW2kJ1JmaoLpVwSlWOwCvHSXfZvBynVA6bngifruPklRyuizg9OVwXTshBQi0srwT5q68W+eYbke+/d3vGpRJOOPa282z//ZPfm21jE050nAgpSSicSGELp1yWIzCFkxmq83Cc4maozuvmma7jlGoMpVGj0itHoJLOwzpOetmBX36xT48iOVzHy3HC8CW77Sby7LP276lxEcEnn9jnMUOXZjI+Cltuv33yNJwj//d/ifY739Jzl8KJkJKEwokUj+OUi+Rw/btBHaeoQ3Wm44QK40o43Htv/fn33dd1VXbYIViOk7nPXsLJowJ6kkD6/ffsheqCCCcFqrHb0M8Dy3h09aZDNJnbsO229fcNy4VgQw7bt9+6HQFMtKr3hJDSgcnhpHgcpzChOv29VzkCLFu9DxKq88px8gvVmZWwg4TqTMcJyeZwTiBSttzSvp4NNxRZc02R996rv+5UjpNXr7ogjpNO1KG6MMLJS+SlqssVRDhtt139MQWxXIRAIarMfVHnVBkNEE5IOUHhREojVJeO46Q7OzbhhM+xPWrbgvaqizo5HGAAYrz8MAf7Ves2c5z8HKcgOU424YRjYwy0nPGQK2GEk9e6U9XlAnp5Bluorm9f95zAdCWyvNoG05X49HK4CCFFDUN1pDBQN08zlBY0Odwvx8mrV51Zz8j2Xd01SMdxSiWcbMs0Q3VBMQVFUMfJFqpTPe6CCicImyCDZIYZckVHH0A3jHDSlxfEccL85jb07l1/HV4Oly666DgRUpJQOJHydZzMAX5ty9JdinR61UURqguK6TipNvXKcfITTmg/r7pHNuEUJEwXdsgVBQSLPo9NOOnCyksUmeeWbR7TcUIbqPwl/bzwcpwonAgpeSicSPkmh3s5Tl55MV6Ok+1Gnk6obt48kTPOELnxRvv3U+G1HXq7oT39yhGo9vYSBl4iKUiPOn2dYUJ1XvlFQYST1zELmuPUvbt9OB6v4xIkGZ0QUtRQOJHSSA5PpxzBTz/Z5/fKi/FynLycGVsdJz/hdN55IrffnjxPJo6TbftMkeDVrn7CCZ+ZIq1r1+w5TqZwghA099UrdKYnuwNbaQf9GGDfdEG92mrJn6USRRROhJQ8FE6kvEJ1avkQUGedlZi+4472Zek31SDuRao6Tn6hugceqP/9KIST3m66g6a2zbYOP+Fkc5jWXjvYNqbKccLf5nE2hRMwhZtXkVDzmGGYGBO9ojjctKlTkx0nhd84hopTTkn8ffjh9nkIIUUNe9WR0qgcbt6QUzlOr76aKI44cKA7MG+qUJ3XzdKPdHrVeX0/ilCdvj/pOk5KOE2aFI1wMoUb5tG30yacTJGou0R+wgnD05iJ5LNmJeerIWSq0HsyenUa0DnpJHcdaNNDDrHPQwgpaiicSGk4Tma4LJVw0iten3tusnjwCtXZHCfdYfDaLqwf68XNPejAwbZtz5bjlK5w0llrrWhCdWoefTttPea8CpmamMcMAyKvvnryNH1MPDPRXw9BBhFOOF7/+Y/9M0JISUDhRIqnHEGQ7u62m5z+PbX86dMT03r0SP5ukF51N93k/n/ssam3BUIA64XjFLQauf7dbOU4qWXbhJNXzlC2Q3W2eWyJ32a7eYXqzBwn24DISjihPcx1eQmndNxHQkhJwBwnUhrJ4amcGlOY6cKpc+fkeYP0qhsyROTss0WqqlJvixIo6YTqwjhOQUJ1ujBV7RmF45RJOQJbqE7H1samkxQmVOclnDB0DkTmHnskPttss3BVyAkhJQ+FEymNUF0q/ISTWfk7SKgulSNjEwK2XnWPPCKy8cYif/7pv91Rhep0ZyYT4WSKNL+ehWEdJ1Nc2YRTUMfJFqrTQV0rleOkwnS33SZyzDEijz4q0qtXYt4NNkj8PXiwfX2EkJKHwomURnI4uPpq9wZ+6qneAkQtTwknCABTBAQJ1YURTkoIwKWw5Ul99ZXrYPl9NyrhpDszqj3T6VVXXS1pEZXjZJ4n6TpOSARXYloJJ4ilBx+sP3AwamxhbDoMwXLHHfb1EUJKHuY4kdJxnIYPd0WT7Ubr5TiZYTq/kIyeH5RKWNjEgt5by0SvKaUTdR2nqByndddN/L3nnsG30RwHzrb+IMLJxCacsK+mE2UKJz0xHKG6VNs+enTqbSGElDR0nEhhoN88dbEUNjnc6yarCyeIISVibMLJK1RnKx4ZBCUE0qkDFcZxwrzDhrkJzk8+md0cp6OPFtl+ezd8dffdwbfRttx0QnXoCZkqVGdrbz/h5Dd0DiGE1ELHiRQGZskAJTbSTQ43Ud/FsmfMSExP5ThFIZzCiJ9MHCeA4Vquvz5ZLHnlOKllpyOc8Pl774XbNq/lphOqu/hi10nDvno5TjbhpOe22Wo4EUJICug4kcLANl5atpLD/XrU+YXq1N9YVphtyaVwAua2ZSM5PF2icpzgql13XaKURFDH6e+/k9/TcSKEhITCiRS2cEq3jlMmwilVqC6M2+TVkywXoiubOU7ZFE5hcpxU+9gcJ7OGUyrhlCrHiRBCKJxIUTlOmYTq9F51YRynKIRTrh0nk1Q5TrZ1hOk1GAZb26UTqjPnDRqqQ29AvSQEHSdCSEjoOJHCoJAcp1S96sK6Mfl2nIo9VOdV2FOfN2ioznSdmONECAkJhRMpDHLlOOUjVJeu+EGILROxWKzCyRSafm3g5zjZQnV+womhOkJIACicSHkkh+u96mbP9h46JBuhunQdpyjCdMWQ45QqVOeHmhfnjH6uIBz3zDOJ9717J/7+66/E36osBdrAqw4WIYRoUDiRwixHkM1QnR5+s+XypOpVF1Y4pboh9+yZvTBdtuo45SpUl8pl1OfVReH++4s88UTifZ8+duGkKqC3bh182BhCSFlD4UTKL1SXqgK4LVSHMc3SdZxSVb7Wb+q2bS6lUF2QyuH6fqfaDt2d0sN1b72VPN9aa9lDdcpxQnkDQggJAIUTKa86Tmb4zXYjxzTlPqh5dcGRK+GUDcfJJpzSGasuXRo2lLi5PvO9LoBS9e7zcpxM1l67vuMEMawcJwonQkhAKJxI8fSqi8JxMpOGbfk0EE1KOKjwXLpVw4MIp8GDyyfHybZsc/16eDQdx8mWKI4cJ9WeSjih1506vyicCCEBoXAi5ec4KeGEm65XXou6YSvHKd0Bfr2E0wMPiLRtK7LLLiIHHph6m0slx8kmPKMWTrbedC1binTtmiyclNukcpwIISQAFE6kPOo46ctXN1Y/50iFiJRw0m/mUThOQ4e6xRdfe83bSctVqC7fjpMpEPVQajqhuoUL68/XrJkrVHXBpAsnOk6EkIBQOJHC7lUXdXJ4WOGUrVAdetql2p98Jodnq3J4LkJ1NscJbaD2CfPhvFKJ4YDCiRASEAonUr6hOj8B5Beqi0o46Xz4ociOO2bHcSr0HCdTIKYqF+ElnLwcpzZtRNZZp36ZCTpOhJA0oHAi5Zccrm6wQUN1eimCVN+zYboZEESmKNp6a5F33hHZeONo9jfTserymRyuh+pSbYfejjbHac01Rb74wg3VmWUmmONECEkDCidSfo6TIojjBNEEoRWl4+RXEDMbgqXQc5zM9W+7beLvLbcMH6rTHafDD3fFk60iPB0nQkgaRJREQUgOHKdMKjunK5wARFOUver8Bq3Vt0nf93ISTlddJfLrr65LdP754ZPDdcdJb2uG6gghEUDhRIrDccLNPxPhZBMHfsJJ/wyiKcpedX6Oky4E9LBaLoUT5s+mcEo1iC96v733Xvhl2UJ1eluboTomhxNC0oChOlI8wikTwjpOpnDKJFRnOkx+wknfzqgcJ11wBqnjhGTqTNvbjyhFWapQnd7WfqE61nEihASEwokUxyC/mSZKZyKc4DZlIpyw7foN3k84eQnIXDpOqt5RMQgnhuoIITmGwokUBvrN++yzEwOx5stx8stxCiuczP0LKpyyEaoL0quumIRTGMfJr1cd6zgRQgJC4UQKA10wjBsncsYZya5LMYfqwginbITqvNqunB0nCidCSJpQOJHCwLx5P/98suOUz1CdmRyezo1f336/oo7ZCNV5JdWXgnAKkxxuCieVHI5lZDMZnhBSUlA4kcLASxhFFarLpFddpjlOXuvPR6iuHIRTkFCdXjmcieGEkBBQOJHCwEtYlGKozs9JynZyeAEIp3ihheqY30QICQGFEykMvAa0zVeoLpvJ4WUunNJqv6jLESxeLDJ/vvs3hRMhJAQUTqQwMG/eKnxSbo5Ttus42bapmHvVpXKcUH3ctt65cxOivGXL6LaHEFLyUDiRwhRO7doVTnJ41DlOQR2nUs1xypXjBNGk77vuOM2ZYxdXhBCSAgonUhiYN2/lHhRK5fBMhlwBnTsn/vYLDRVCOQJUDi+FXnVm2Qcv4eRXHoIQQgwonEhhoOelAOXwRBWqC9urLspBfsH997vbgHVecUWw7YzHJRK82k6JtGLuVecXqjOHutHXO3t24m86ToSQEHCQX1IY/Pln8nslVAohVBdFjtN664lMmeI6JO3be8+X6X7aKLc6TkqE03EihGQBCidSGKgeTtlynPKd4wS6dk2/d2EmlFOoDucLSg2EEU50nAghJRuq++wqkSc3F7m1mcgdtb2uTOZPEXlhd5Fbm4vc2V7k/TNEVtU+iZLC5dxzS9txCspJJyX+fuyx3Agns22yId5yFapDmQFF0FAdc5wIISXrOEEA9dlfpOtgkR8frP95zSqRF3YVadpB5KD/iSydI/LmkW6uyA6352OLSVD69hUZO1Zkk01c5wCCCb3KSmWQ36D06iXyxRciU6eK7LZbfhynbJPNXnVew62YjpMK6wE6ToSQkhVOW4xw///xEfvnk98WmTNe5IQ/RVrUhkW2uVHkzaNEtrxKpLIqd9tKwrP++iJbbiny/vvue4iVQgjVRdGrLgwbb5zfHKdso7tEUTtOXlXD/cYIpONECCnZUF0qpo4Rad8/IZrAakNEVi0TmfF1PreMBMUULFGF6vI9Vl0+SeU4YX+U6zJkSHEJJ9NxglOnMAtbYl6biKTjRAgpWccpFYumizTrlDytSRuRBo3dzzxYtmyZ81LMr01UrqmpcV7lAvY1Ho/ndZ9jjRuLurXVLFkisVWrnPfxigqJZ7JdFRX1nhJqcAP3WmajRnXzxx94QGK1xSjjjRs7baSXCiiEdkuFTTrVQESobR4zRuTdd0UOPdS7TSKipkGDpO3JqN0aNkwcJ/yG33wzcf4g7GssO9akicRU8riaD05UAR+7YjrPCg22GdsuKGF+V/kXTp9eJjKmNgTnxaFfinQeFHCBlidK3OS8whUiMnLkSBkxov42zJo1S5bqIZoyOHGqq6udi3NFpqGxNEFpSBVQmTN1qrSvPZlX1tTInJkz015uk8WLxexOMHfxYlnhscwGixZJh9q/lWhSwmmm8Z1CaDc/Kv75Rzpaps+ZN09WqX3p2FHkkEPc30oG7RyEWHW16I83ZnuGWta8eXXLWrZokTR4+WVRftbsQYOkxlh2R4twql6xQpZleZ+joNDPs0KEbca2C8qCBQuKSDhtcJpIn4P852m1WrBlNe8sMv3z5GlLMSbVivpOlMbw4cNl2LBhSY5Tjx49pEOHDlJVVVVWF5lYLObsd74uzDGtvdshR6VWODWsrJSOuLmni6U2URtU8/Zapp48rG9fkyb1tqMQ2s0XjyepdtiPTNo03c3RQnXxdu0yO65a3lLl9OkSGzfOXe7AgdK+f/96s8cwP8ap02iFMhF5aIewFPx5VoCwzdh2QWkSordv/oVTs/buKwrQ2+7zq0QWThNp0cWdNultkQaVIp0Gen6tsrLSeZng4lRuFyhcmPO639rJW4Fk39rk8FhFhfOKJBdGLR83Ua9leiQSx2bPtm5H3tvND4/yAhUQMPnY3jZtpPrGG6Vq9GiJXXVVZsdV+90q0eT8vcsu9uVajmsFBHohHjcLBX2eFShsM7ZdEML8pvIvnMKAGk1L/xFZMMUtPTBzrDu99ZoijVuI9NpZpF1fkTcOF9n6enfeD88VGXA8e9QVC2ZStiKfdZyKnVTJ4XlgySGHSMuzzspMNPklmiO/KaggZq86QkgIiks4ffofkXGPJt4/vqH7/wGjRXpsK1LRQGTv10TeO0XkqS1EGjYVWecQkW1uyNsmk5DogkXPRcnnWHXFTgEKp8jAPuBYmbmI7doFP67sVUcIKVnhNPQR9+VHVU+RvV/N1RaRXAmnXDtOXk7GhRdK0ZGqjlOxg/w1vQyBmmaDjhMhpKyEEyl9dDGjD5+R6wKYEBv4XK/f9PTTIgccIEVHKTtOyl0yhZPXeHs24UTHiRASAmYYkvII1YUVTrbP+/WToqTUhZPNXfISTgzVEUIyhMKJFIfjlOtQne0mW6ylKUpdOJn5TOgl5xVqNR0nHGP2UCOEhIDCiRQWuliJ0nHq1i35PZbn0U3fU1i1QnnOIqTUc5xM4eSV32QTTuxRRwgJCYUTKY8cJwgnFDoMM16avi0QH+agscVCqTtOplDyCtPZhBPzmwghIaFwIuURqoPwGTw48V5P+g6yLRgwtlhDOqUunEzHyU84mQP/0nEihISkSO8EpGTJVnI42Gyz9MOGxRqm82u7YhWCqRwnv1DdGmskv6fjRAgJSYlcOUnJkC3HKR3hpG9LMTsTthwniCafga9L1nFae+3k98V8XAkheYHCiZSP47TRRuHm18VaMVcSt7VdqYTpwjpOffokv6fjRAgJCYUTKR/hhJvk2We7ouHaa1PPr+dBFfPYdTZnqZSEUxjHqXPn5Pd0nAghIaFwIuUTqgM33SSycKHI+eeHE07F7DjZhGe5Ok5m78hUJSkIIcSAwomUj+MUVgSViuNkc51KWTj5OU6ge/fE39OnZ2ebCCElC4UTKS/HKQxLl5aOcCplx8k8Nn6Okymc/vorO9tECClZKJxI+TlOQSklx6mUhZNJKsdJH3Owdeusbw4hpLSgcCKFRaEKJ+Y4lY5wuugiVzBBPN56a662ihBSIjAzkhQWhRSqKyXhZOY4lXJSdCoXqUMHkcmTRRYsqD+GISGEpICOEyksCslx0sWGOcZZsVHqobq33xZZc02R4cNT5ziBqiqKJkJIWpTwYycpSgrJcXrySZE99nAHBA5SvqCQKXXhtNNOIhMm5HsrCCFlAIUTKSwgUgrFcdptN5GPPhJp3z65J1YxUurCiRBCcgSFEyksEB6D64T8olWr8h+q22orKQlKuY4TIYTkEOY4kcLD1vWfN/rMoONECCGRQOFECg9bD7Z8OE6lBIUTIYREAu9GpPCwuUt0nDKDwokQQiKBwokUHtOm1Z9GxykzmONECCGRQOFEioMVK/K9BcUNHSdCCIkECidSeJxwQv1pn32Wjy0pHSicCCEkEiicSOFx551u/aRhwxLTNtggn1tU/FA4EUJIJLCOEyk8MI4a6idtsonIzz+L/Plnsogi4WGOEyGERAKFEynsek6vvZbvrSgN6DgRQkgkMFRHSDlA4UQIIZFA4URIOUDhRAghkUDhREg5wBwnQgiJBAonQsoBOk6EEBIJFE6ElAMUToQQEgkUToSUAxROhBASCRROhJQDzHEihJBIoHAipByg40QIIZFA4URIOUDhRAghkUDhREg5QOFECCGRQOFESDnAHCdCCIkECidCygE6ToQQEgkUToSUAxROhBASCRROhJQDFE6EEBIJFE6ElAPMcSKEkEigcCKkHKDjRAghkUDhREg5CqeGDfO1JYQQUtRQOBFSDtBxIoSQSKBwIqQcYI4TIYREAoUTIeUAHSdCCIkECidCygEKJ0IIiQQKJ0LKAQonQgiJBAonQsoB5jgRQkgkUDgRUg7QcSKEkEigcCKkHKBwIoSQSKBwIqQcoHAihJBIKK7ywZ9dJfLHayKzxoo0aCxy2rz689wYqz9tx7tF1j8pJ5tISEHCHCdCCClD4bRquUif/UW6Dhb58UHv+YY8LNJ7aOJ941Y52TxCChY6ToQQUobCaYsR7v8/PuI/X2Vrkeadc7JJhBSl49SZvw9CCEmH0sxxev80kTvbizyxsch394jEa/K9RYTkl88+S/zdtKnIrrvmc2sIIaRoKS7HKQhbXCHScweRhk1Fprwn8sE5Iktmi2x2sedXli1b5rwU8+fPd/6vqalxXuUC9jUej5fVPpdLu8WGDpXYg254u+bee0UaNMCG52VbiqG9ChG2G9uM51v2CHM9yr9w+vQykTG1ITgvDv1SpPOgYMvTBVLHDdz/x1zuK5xGjhwpI0bU34ZZs2bJ0qVLpVzAiVNdXe3c1CrMnBhS1O3W8LDDpOUvv8iKTTaRhTvuKDJzZt62pRjaqxBhu7HNeL5ljwULFhSRcNrgNJE+B/nP02q19JffZTOR5fNFFs0Qad7JOsvw4cNl2LBhSY5Tjx49pEOHDlJVVSXldGGOxWLOfvOGVmLt1rGjyIcfSiMRaZbnTSmK9ipA2G5sM55v2aNJkyZFJJyatXdf2WLmtyINm7gJ4x5UVlY6LxNc1Mvtwo4bWjnud6aw3dhePM8KE/422XZBCHPPy79wCsP8KSJL/xFZMEWkZpXIzLHu9NZrijRuIfL7KyKLprvlCpwcp9Ei/7tIZMAJIg3rCyNCCCGEkDAUl3D69D8i4x5NvH98Q/f/A0aL9NhWpKKRyNi7RD4Y5vaka726yBaXi2xwat42mRBCCCGlQ3EJp6GPuC8vUPRSL3xJCCGEEBIhTGQhhBBCCAkIhRMhhBBCSEAonAghhBBCAkLhRAghhBASEAonQgghhJCAUDgRQgghhASEwokQQgghJCAUToQQQgghAaFwIoQQQggJCIUTIYQQQkhAKJwIIYQQQgJC4UQIIYQQEhAKJ0IIIYSQgFA4EUIIIYQEpGHQGcuJeDzu/D9//nwpJ2pqamTBggXSpEkTqaigpma78TwrJPj7ZJvxfMse6n6v7v9+UDhZgHgAPXr0iPrYEEIIIaSA7/+tWrXynScWDyKvyvDJburUqdKyZUuJxWJSLkBxQyz++eefUlVVle/NKRrYbmwvnmeFCX+bbLugQApBNHXt2jVlxIWOkwU0Wvfu3aVcgWiicGK78TwrTPj7ZJvxfMsOqZwmBRNZCCGEEEICQuFECCGEEBIQCidSR2VlpVx66aXO/yQ4bLdwsL3Sg+3GNsslPN+8YXI4IYQQQkhA6DgRQgghhASEwokQQgghJCAUToQQQgghAaFwKnBGjhwpG2+8sVOMs2PHjrLXXnvJL7/8Uq9w12WXXeYU7mratKlsu+22Mm7cuKR57rvvPmc6asCgqOe8efPqreubb76RnXbaSVq3bi3t2rWTE044QRYuXOi7fUuXLpWjjjpKBgwYIA0bNnS2z2TatGlyyCGHSJ8+fZwaWWeddZYUQ7v9888/cvrppzvb3axZM+nZs6ecccYZUl1dnbScuXPnyuGHH+7UAMELf9va1+SHH36QbbbZxll3t27d5PLLL08q95/LdiuF9vrf//4nW2yxhXPuYp511llHbr75ZskmpdBuH3zwgXNNMF8///yzZINSaDNc82xt1q9fP8kmpdB24M4775R1113XmQfb8dhjj0lRgcrhpHAZMmRI/OGHH47/+OOP8bFjx8Z33XXXeM+ePeMLFy6sm+eaa66Jt2zZMv7cc8/Ff/jhh/iBBx4Y79KlS3z+/Pl189x8883xkSNHOi8c9rlz5yat5++//463adMmftJJJ8V//vnn+BdffBHffPPN4/vuu6/v9mE78J377rvP2dY999yz3jwTJ06Mn3HGGfFHH300vsEGG8TPPPPMeDG0G6bts88+8Zdffjn+22+/xd977734WmutVa9Nhg4dGu/fv3/8008/dV74e7fddvPdvurq6ninTp3iBx10kLMebAO25YYbbshLu5VCe33zzTfxJ5980tkHtN3jjz8eb9asWfzee++NZ4tSaLfRo0c714RffvklPm3atLrXypUr49mgFNps3rx5SW31559/xtu2bRu/9NJL49mkFNrurrvucqY99dRT8d9//z0+atSoeIsWLZztKRYonIqMmTNnOhe5Dz/80HlfU1MT79y5s/NjUSxdujTeqlWr+D333FPv++oiaQon3Fw6duwYX7VqVd20b7/91pl3woQJgbbtyCOPtAonnW222SYnwinqdlM888wz8caNG8dXrFjhvB8/fryz3M8++6xunjFjxjjTIEC9wMUD68I6FRC1Xbt2dbYt3+1W7O2l2HvvveOHHXZYPFcUY7t5XRNyRTG2mckLL7wQj8Vi8UmTJsVzSTG23eDBg+Pnnntu0vdwbdtiiy3ixQJDdUWGslPbtm3r/D9x4kSZPn267Lzzzkn1N2CVfvrpp4GXu2zZMmncuHHSGD2wUVUIpNiJqt2wHIQ7EZYEY8aMcWzsTTfdtG6ezTbbzJnmtxx8D+vSa2YNGTLEGSNx0qRJkm9Kob2+/fZbZ5n4Xq4o5nbbcMMNpUuXLrLDDjvI6NGjJVcUc5spHnzwQdlxxx2lV69ekkuKse2WLVsmTZo0Sfoe7jVffPGFrFixQooBCqciAg7hsGHDZMstt5T+/fs70/AjAZ06dUqaF+/VZ0HYfvvtnfmvv/56Wb58uRPfvvDCC+tybYqZqNptzpw5csUVV8iJJ55YNw3zItfABNP82h+f2datb1u+KPb2wjiTuHAPGjRITj31VDnuuOMkFxRru0EsIQfyueeek+eff97JOYF4+uijjyTbFGub6eD6+MYbb+TsPCv2thsyZIg88MAD8vXXXzv78NVXX8lDDz3kiKbZs2dLMUDhVEScdtpp8v3338uoUaPqfYbERB2ckOY0P5DU+Oijj8qNN97oJAx27txZVl99deekb9CgQd08LVq0cF7/+te/pJzaDaOs77rrrtK3b1+nurrfMszleLWbbd1ey8slxd5eH3/8sXMxvueee+SWW26x7kc2KNZ2g1A6/vjjZaONNpLBgwfLXXfd5WzDDTfcINmmWNtM55FHHnE61Ng6xmSTYm27Sy65xJkfDlajRo1kzz33dJLtgbrXFDquL0cKHvSCePnll52nQDxRKyBwlJrHk6Ni5syZ9ZR/KtCDC68ZM2ZI8+bNnRP9pptukt69ezufv/7663VWqgrjlUO7LViwQIYOHepcIF544QXnx64vB+1lMmvWrLrl2NoN3zOf3LBuEPa4RUkptJc6X9HTE+tCD6ODDz5YskkptJsObmpPPPGEZJNSaDOIArgl6HGGVIdcUcxt17RpU6fN7r33XmcdyvFET8H27dtLUZDvJCviDxLqTj31VCe57tdff7V+jmTAa6+9tm7asmXLQieH23jwwQedXklBk0YLKTk8qnZDL5HNNtvM2e5FixbVW45Kovz888/rpiGhMkgSZevWrZ11KpDQma/k8FJrL8Xll18e79WrVzxblGq7oYfVdtttF88GpdRm6nqKHmS5oJTaTmfrrbeOH3zwwfFigcKpwDn55JOdk/6DDz5I6v66ePHipBMT8zz//PPODxgnoFmOAN9BL7n777/fOfk/+ugj5/2cOXPq5rn99tvjX3/9tdMt+Y477og3bdo0fuutt6bcxnHjxjnL2n333ePbbrut8zdeOmrawIED44cccojzN75XyO2G/zfddNP4gAEDnG67Xl210W13vfXWc3qd4IX5U3XbRXdmdNvFOrFubENVVVVSt91ctlsptBfOWXRpxg0Fr4ceesiZ56KLLopni1JoN5QqQa8wtBm6uV9wwQXONQJdydlm3r9NgB6bOHa5ohTOt19++cUpFYLzDcIM5RJQygElRIoFCqcCBxcw2wu1PBRQ8qgfgieNyspKR72bT0D4PNVyDj/8cOcERrdU/GAee+yxQNuIJ3rbslPtRzadgCjaTT1N2l76jxzi89BDD3Vqk+CFv4O4dN9//318q622ctaNbbjsssvqPZXlqt1Kob1uu+22eL9+/RyXFBfrDTfc0HkC1ktsRE0ptBvciTXWWCPepEkTp5bblltuGX/ttdfi2aIU2kyJBDxcooZdriiFths/frxTlw5th98pohR+LlYhEsM/+Q4XEkIIIYQUA+xVRwghhBASEAonQgghhJCAUDgRQgghhASEwokQQgghJCAUToQQQgghAaFwIoQQQggJCIUTIYQQQkhAKJwIIYQQQgJC4UQIKXowQj0GpVavJk2aOAOObrfddjJy5Mi6gUbDMn78eGeQ4EmTJkW+zYSQ4oTCiRBSMjz88MMyZswYeeedd+TOO++UDTbYQK699lpZd9115d13301LOI0YMYLCiRBSR8PEn4QQUtz0799fBg0aVPd+3333lbPPPlu23HJL2WeffWTChAnSqVOnvG4jIaS4oeNECClpevbsKTfeeKMsWLBA7r33XmfaV199JQcddJCsttpq0rRpU+f/gw8+WCZPnpwU/tt///2dvxHyU2FATFfAxdphhx2kqqpKmjVrJltssYW89957edhLQkiuoHAihJQ8u+yyizRo0EA++ugj5z1ylvr06SO33HKLvPXWW044b9q0abLxxhvL7NmznXl23XVXufrqq52/EfZDCBAvTAdPPPGE7Lzzzo5oevTRR+WZZ56Rtm3bypAhQyieCClhYvF4PJ7vjSCEkEyAC3T00UfLl19+mRSq00GyOIQN8pZMVq1aJUuXLnXCeBBLZ5xxhjP92WefdVyn0aNHy7bbbls3/+LFi6VHjx6Ow/Tyyy/XTa+pqZGNNtpIKisr5fPPP+dBJaQEoeNECCkL9GfEhQsXyr///W9Zc801pWHDhs6rRYsWsmjRIvnpp59SLuvTTz+Vf/75R4488khZuXJl3QvCaejQoY6Aw7IIIaUHk8MJISUPRMycOXNkwIABzvtDDjnECaddcsklTngO4TbkLyGkt2TJkpTLmzFjhvP/fvvt5zkPhFXz5s0j3AtCSCFA4UQIKXlee+01JxyHcFt1dbW8+uqrcumll8oFF1xQN8+yZcscsROE9u3bO//ffvvtstlmm1nnYe89QkoTCidCSEkzZcoUOffcc6VVq1Zy4oknOs4SwnbIQ9J54IEHHHGlo+YxXSjkNrVu3drJlzrttNNysBeEkEKBwokQUjL8+OOPdflGqBb+8ccfO0Ux0aPuhRdekA4dOjjzbb311nL99dc7zhFKEXz44Yfy4IMPOmLIrAsF7rvvPmnZsqVTkbx3797Srl07x21CjhNcKoTsOnbsKLNmzZLvvvvO+f/uu+/OSxsQQrILhRMhpGRAzzrQuHFjRwShYjiSwI877rg60QSefPJJOfPMM+X88893RBYcJFQbV6UGFBBJKFlw6623OmE+OFIQYkcddZQcdthhTo2o6667znGyUCcK4gnVyvE5IaQ0YTkCQgghhJCAsBwBIYQQQkhAKJwIIYQQQgJC4UQIIYQQEhAKJ0IIIYSQgFA4EUIIIYQEhMKJEEIIISQgFE6EEEIIIQGhcCKEEEIICQiFEyGEEEJIQCicCCGEEEICQuFECCGEEBIQCidCCCGEEAnG/wP7E7VOVZG6ZgAAAABJRU5ErkJggg==", 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mOFG5ZrbzRj/v1HyZompEIdcPOS/YDtyYdSGA8yUb/LYR17Moa0UFXY86Rz766CP3EfV1AeJ84MCBbqkHiPJXXnnFzZVDThVA/hS+mzjPkKOEXC386FIFRCdMmJCwPORKIr8Ux+Tiiy92p7Vt21b+7//+z53eyvKDLUzb4AdOqUPhVGIogYME1S+++KJg24FESNxgzGn4UuhfGrW9uPDiyxcUvwKfN9xwgyseUdsICZk6J554oiucwgDBBSAQ9WTZVDcRv+1T+4oaK7j45AK1DpVoa6Km24Rw2KKpmB8CAvsCoQRhiteYDjcLF2yIKSWilUOl2hPOAtw3XMz1myGEPxyXMKj9efHFFwP/Klf7kAlIEse5hPMMNwwk/Q4ePFg23XRT63YFPb8hsCCM4DaZSbxwryCcotwPJZrgRMCNRPsp8aqDGy++C8r9MFHTIfSyBR1b8NBBm2AdEKk2p6KUUecIalXZOu1ECX5UfvDBB67Dq4QTjj068CB53Dx+EK8mSB7HeYrHuHHj3O84OkDA0YLbfZfR+acSYeXwEgMX59VWW83tKRGl7RwWfDn9pulhP1i8ekgjW1DoDaAisg4Em+3XnPpl7fdLE72aABw8c3l+NzE/cFxwkYSgNcMvUbHqqqu6F0HY/wjbmijhaAu9ZoLqyQenB2Ew5Zbg4oqLNMKluLAqkaVAOADCE73/TAcB7YMLcJhjpc6jfNn8EL8I8cFpgmiaN2+eW0Hbb7uCnt84fyEOTNGEY4mbXdTgpokHjg3CN35uAc4pHE+Em00HAqBHH0Kyan+jBuIc4km5ToUm3XUjDOglie9HPs5d5W7prg7OOVybTNGEULm6nvoBEYsfDriuwLFC709C4VSSoFovLrQIG9jsXfxKyPVQAbCF9RwV3FhgwwOUMVCg6zScHHSFnzhxYtJyIP7QRT0oKncJv9h1EDb64YcfkubHTQqgarINlQ9jjnmFHBe0Yxiwn6jWjBsPQlQ28YRthDOXKcgzOPjgg11hgtCLDnJs0KUd3fTNG3OmKBcJ7au/Vs8h4CCckLOCMJ4CLhScDYgBXeDBLcS5YCPVsUIpB+TA4LggDGGCtjbPiWxAO6NbNvIJ0ZUbr/XzOtPzG+cv2kAP5eLmjPNF5cBFORIB3CaEwlKJJj23C1xwwQWuK6hAaQb8UEO4J1UphyCokJ8Olg03BsvGuouBdNeNMCB8jm74CNOiYrvetgrkHtl+CIUBeU4jR45MykHFOYcUB92lRr4VrlVmKgbOQeRImeCchbC1uZWVCEN1JQjCCPiFi/pEcFlQvwghEXwxkGCILyGSQM26I1GCX1Go9YOLKX6JIm8CYg1iTlnEKk/m9ttvd7+kCO2hdg3CAriAIskbv2SQcAsrOAgIx+FCjsRSrBs3a7QFbtCoT2QmRcKhQdvAksaNA3k2+PWH7UFIEXVKEDbCr3KElLBtcEQgcPArPWzoDzcqbAuEJbYFy1C1pnAThouFX562HLGgQMRgu/7973+7F2O4AKqOE/YR7aNCkNmC8BTya3Bu4T9e68IJ2wBxAJGhg/VDVCDPCecJctFwzCHscCHHMTGBm4VQBs7v/fff33W1IJZQpwznGPYPY62hTVEbStXJwQ0DbifOhWwS721CAtuPHwjqXDMJe35DYMG9QahT1UBDCBTnB9y9dOO8BQU/BPBDBqIOThJu2CZYn17bDMIQ7hq+K/jRgPewD6j31qdPnybxrIMOKqrNlaOCaeqHCFw6vZMCBBK+H7h+QJwgPIfwIc4X5HhhPcVAqnMxE3COwM1DrbtHHnnErS2G6w/ENkJoaIfJkycHyh8C+C6odof4wY81tB9+wKJ2nF4LDOccHugchGRvzI9abxBw+G7qzjrOQ1xP0NEDyeEYqge10FBvCj9OsP2EdZxKshyB4qmnnnLrvqALPKrBrrDCCm4Xb1St1rtg65XDw3S7tXXVNyuHo2QBulCj7s1VV13lWy/ns88+c2uNoNYStrVLly5ul90LLrjA+fHHH0MNkYJ50F0WNX06dOjg7LLLLs6XX37pu5+jR4929wXzq667+v6iYjO6CqOrObrJo/7Ir7/+mrZyuB9oA9SswTZieai4jGEQdtppJ7cGECrqZlPHCeD4ois8zg3VnigJ8P3330c+lMmBBx7ofh7/dVAOA/uG90aOHJn0OXSrR9kK1JVSbYCu/ujCraoLm6D6PObHPpnVmgFqIKGauVom2he1pVCLxiwfYPt8WFQ1bdSgSUXQ8xv897//dd/D+Yb5UPEd9dUyPd/CdltXD9t3DF3ZUZ8LJTXwvUbNJ9QN86uk7lflXj3M7UadL1Q/R5d0tBNqGGH5tgrW2VQOt+F3zvmR6lzMZD0LFixwl4nyFCgdgLIiAwYMcPbaay+33INeky/McUXdJdTi22KLLdz2MEuh4PWdd97pltNA/S5U20fJGJQOMa/xqNOEkgaqyjjOAZzTuHa9/vrrCct9N03l8LDlX0qJGP5QQZKg4NcznC78Is2lo0VIoUE4A7+40bUaoY5sErQJIeUDk8MJIcTC/fff7ybbIlxD0UQIUTDHiRBCNJCjgyRZdLtGLhry6gghREHhRAghGhdeeKHbiw6Js0jyz7YnGSGkvGCOEyGEEEJIQJjjRAghhBASEAonQgghhJCAUDgRQkKDMdwwrIsaoNY26jshhJQjFE4kb6C6NW6yerXiTOaJElRq5o0/HKhWfvjhh7tDRJxyyinu0B7pjhfaOF3dL795UMUdlcnxHiqIo+IyhpVB9XgMPOpXig6V4NEjDtXOkeCNhO+ePXvKDjvsIDfeeKNbEdkEVZVvu+22psrO6jOopnzWWWeFGh6oUnn99dfd8wFtjrE18RzT/Hjttdfc0Q9QLwtDemD4HgytYxsnDt9XVO/G2GuYH5W2UbEd46mhMrcJqtpjiCocTwx9gvMHtblQGRwV0f3OHVR+HzZsmFvlHp/Bf7y2DRmjwGgNqNKOKuMYAxNV5FMNxI5q4agej5EFsN9rrrmm3HrrrQnjzOlgyBNUg19llVXcivM4L1GZHQNwkzxT6AqcpHJQ1bBTVXMOMk+UBKlUThK5+OKL3Tb75JNPIqmAn2qeN954w61eXFVV5Wy//fbOmWee6T722GMPp1u3bu5nzIrLy5cvd84++2z3vZqaGmebbbZxq41feOGFbsVkVBrHe6gkr1fYR8V3VOLHe6iWjHlR+fuII45wNtxwQ3cbsO/En0cffdRtP1REP/XUU53TTjvNrT6OaXjP5KabbnLfQwX4o446yj22a6yxhjsNlfBN0P6oNo73cEzPPfdcZ7fddnOqq6vdSvLvvPNOwvwYAQBVujEywAknnNB0Dqhz57jjjktaByr7r7322u77OOfOP/98t3I2XmO6rfI/KuTjfVUd//jjj3f3CeeubcSGMWPGuNW+UZX80EMPdc477zxnyJAhvtuEc3rHHXd0399oo43cbUIb4JzEOidPnszTMo9QOJG8QeFUHhx99NGhh3DJVDhhKB/cFM0bohpK4rXXXksaYgJiB8taf/31fYfywBApGJ5o4sSJTdMw7AU+hxsUhosxwc0JQ/sQOzNnznSHQIJo+vPPP5umY7gWDPOB9zCPPnwOhAWGjBo/fnzTdAhhDHuEY/HEE08kDfNjA0PiqGOuAzFsG8pkzpw5zuDBg93P/PDDDwnv/etf/3KnQ8zYpuO/zi+//OIK9FVWWcWZPXt203QsF8Pq4Bw2twFDmmBZL7/8ctM0nHMQeJhunu/333+/Ox3D+ujnu5oOcU/yB4UTKQnhpMY4woUTvzJ79+7t/sLEr9P77rvP+gvtnnvucTbYYAP3woxxoXBTxgV51KhRacfzUqJAjR+GscSuv/5692KLi70+hhzGfMIvZVwg8V7nzp2dffbZxzpuHC6IEB64yOKXMB4Yuwpj29lQbYGbzMEHH+wuu02bNu74fNgm8NNPP7njXWE/8R5+iWKbwvDRRx+5y8Qy0K6DBg1y22f+/PlJ7pztkQvhhH3AtLXWWivwfuAmBqEFR0F3k2zgBqSPrXjSSSf5jruXCTiHMA4d2hTHGTdLnHu2MRUXL17s3Hzzzc4OO+zgnts4j7p27ersvffe7liKNnBs9O8CxiK7++67U7qof/zxh+u4wLXBOiBocC7rwiVTcA5jvRjrzuQ///mP+55+nuP7iWnYB5NvvvnGfQ9tFhS0M8RZUM466yx3Hc8991zCOQG3Ed8j01nCtQfrwJiguniBi4XlPPTQQ0nrOPHEE9339HHefv75Z3fa1ltvnTQ/xtXEe/iu28ZMtB0nOKg4/hCDJD8wx4mUFBipHCO44/9xxx0ndXV17mjgI0aMSCpiiPcxZAZyIs444wzZcsst3ZHA33nnHXce5F4gdwZstdVWbq6OeiB/Qgeji//73/+W9dZbT84880w3HwH8/vvv7jTk2iDvBvMhtwF5GxtvvLF8+umnCcvBCPPvv/++O3r5qaeeKocddphMnz7dHdYDI8fbmDVrljvCPMYHxPZiu1955RXZfvvtZcyYMW7+xty5c908j/XXX98dOf3QQw8N3KbI9cD+I39kr732cvcPSd/Dhw93c0+QWwGQY4S2QWFIgDZV7ZULkGNUXV3tjho/f/78QJ958MEH3dwYtGeXLl3S5lRh+YpOnTq5/zEuXbZglPlNN91Unn76aff4IM8G24P8KvOcADhP0e5oa5w/yKdSxxnL+fzzzxPmxz7utttucs0110jnzp3dY4H14BxCfpANrHedddZxx5rEeYLPbLHFFvLYY4+5uTl//PFHwvxI+A+T/4fzB2AfTXbccUf3/6hRo5qmTZ061f0/YMCApPnVNOTTqfMvFZ988on7PVljjTUCj0OI6wD2Dzlwet7RpEmTZLPNNnNzlXSQV4RrCI6tfo6E3e9U8+M44Nqjz49txbFDLhdyrUywHLTR6NGjA+07iYA8CTRCInGc4Pjov6wQPsEo3rDKlQMDMPo6fhnqjgnAL8UZM2YEznFSjhN+1U+YMCHp/U033dRdN3JxdPCrEjk0yFswf/GbwMZHLgWcEnMdytHBr2PbL1n8wr7xxhsT9g/OEd7zcyp00JZYBn6xfvvttwnLOeSQQ9zlXH755dY2yUeoDk6ayi25/fbbXSfCFkZT4Fe8LdQRhC+++KIpV+aUU05xXnnlFWfKlClOJhx22GHudlxzzTUJ0zF6vTqmuuO0aNEi11U0QbgH7gdyr3TuvfdedxnI9YK7qvjxxx+dFi1aJJ3TaLP+/fu75yTaUOeDDz5w9xu5QjrKGQua/4cwGeafPn160ntwb/AeHGDToUrlOOExduzYpPfRdtguhGX33Xdf95ghRPj5559bt23WrFnu/P/85z/dXCc4brZ9e+mll9zpyM+ycc455ySF2LBeHCMbOH6Yf//9909axn//+9+U7aiuXWoZ5vFR3Hrrre77t912m/V9Ej0UTqSkhNNjjz2W9BncnMwbPITTgAED3BBIKoIKJySxmkCY4D2EPmwgSRTv20J2Jv/73//ceR988MGE6ZhmCxu8//777nsID5o5PipXBzfpdKh5EaYyQZ4KRCHWUSjhhHDbrrvumhAWRIgJghXHZMGCBQnzq8RvhC9N3n77bfc46w+IBrM9EA7V1wfRjMRlCKsgQAThRo6kaPP8w7FaddVVk4RTKnbffXd3n3XBiPwsLEMXuwoIA/OcfvbZZ60iWIHQMhKN6+vrE9oeQixdyFOx8sorW5P1FRBnCFHrPyIwDd9VPScKn0eIUrX/xx9/nLQsM8y+0korpTw+6rqiHkjKxnXD/O7g+oL3/ToBXHbZZe77jz/+eNM0LAs/0mxgvzA/QrAKJH9j2ptvvmn9DDoz4H3khqkwOl4jiTzVd/jKK6/03X8SLRyrjpQUCC34TUP3cwW6+d55552udX/ggQe6oSiEMkz7PSiw0E2UNY7uwLZwxk8//dT0X4UQEFK79tpr5bnnnnPDfGYICmECk5VXXjlpu9EVGSBkiHCD7T2EFNKhutfbygn06dNHBg4c6Hbzxnaja3m+QXjrpZdekl9++cXt0v7ZZ5+57Y4QDh733HOPG9ZQYTa/7uUAoZkrrrgiKfyCMKgCZRYQBn7zzTflww8/lC+//NJdD0KADz/8sFuqIN2gv2gvhE4QDkM5Ax0cK5yH6tzQwfl79dVXu+vFObV06dKE9xHSVccWIWecEypkrIPQHgYotp2rWK/tXMX60A0e7YztVm2fLtyZDQjHXXTRRXL55Ze7JQhQXgLh2bffflv+/PNP6du3r/tfD6cqsA944PszduxYt5s+wmv333+/G5o3QZgZ5wZCnBMnTpQnn3xSLr74YvfYIpxaU8NbIQkOzxaSN6qqvJQ6vzol+ntqXhOMVm/SvXt39399fX3TNAzOuuKKK7o3POQm4YGbJATVddddF/qGoNZh5qWAl19+2X34ocTRkiVLXIHy1VdfubkmuEkjPwUXbdSvQu6JLZ/DNsisutCnes+88dpQdWls+wdQ+wZCAPNlI5wgGLI57qhdg4cuMpAfhhpPyMVCjpnaD4gDiEbkhOio8wDgvDj66KOt68J5svvuu7sPlWMCsfvPf/7TzQtCHhjaJV2boj6PDVtb4waO2kIqZwViWRUXhciGUNLPDawDwjbsuYp8plQEzSWzAdGjvoc4r83lQrSoeRSqLtEtt9ziihmIJPwQeuKJJ+Sggw5K2Y4A4hH5giNHjnQF3/HHH+/m/vl9BsuHiLrgggvc5+edd54rvk866aSkfUh1bPX9wPOw8wdZh/puZ7JNJLcwOZzkDfXFthUe1H9V6/OaIBncRCWZ6p9p1qyZnHvuuW7yNG6iKE6HCzJcgzCJ0wrT1dEvbLjoN4a9rQ+VgP7888+7oglF6/D/jjvucG/k+OW80047SSFQ+6Da0ERNtwm0MODY4Obt5wilO+4mqFqOdgcq2V+5LeDdd9+VqICQ+sc//uEmBkP8fvTRRynnV201bdo06/u2toYTBmEEt+WFF15wxT0EIc4Nm0jDOsIsX23Tiy++mPJchTObKRB7KsHaRE1T8+hAACP5GQVV4WwiIR4dLfAZOIm25HHbj4Wtt97aFWipik7qqORslaydbh/89gPP582bZy1E6Te/3zpwDJB43qtXryaXGa4vflCE2SaSWyicSN7ATRH2O8IBfuIJvWOALQQBPvjgA99puJnawEXo4IMPdnu64eLy1ltvycKFC933VBjAVqU4HagmrW9zOhCaA3vssYfvPuQbOF/mzUMBwYlthnOXbZgOoRjc1L7//vuMjrsNW9gVIhU3mbvvvrtJjEVF0DAvnC5Um0aYD0LLvDHaej+hnSESEG7SgZiAyDZBz0a053fffWd1r7I9VzNBia433ngj6T1VOTyoMEPPUAhJ5ToFQYW5g4bdbPPj+oDrBcSx6b7BeUSPWLwPYZfpfquwuG1+hKJR7VyfH8IdqQJwfidMmJD0GSwH55s6xiQPRJwzRUhK/vGPf7iJjKhlZCZmohghkiyRMIpeaUF61aHXk9mrDsm5SAQ2l4/PoW4NEndV0q7qsYLkXxvpEqFRxTcWizlPPvlk0nvo7fTee+81vUZCqa2wHuZBgqktSd0vmV4lu+r1pDKpho5kYFQwRk8svRAg2u7www93l4OE2GyTw1UvMBSXxPExezyhVhPeRyFDBRLi//3vf1uTk5FAjN5U+Ax6GOqoXkupCmDecMMN7jwjRoxomoZii7bzRiXoohYYzjNb7zcTJPLaetUh+d/Wqw7JwziP9GOAGlOqtpTZ3qoGUtBedWhzVJjGe6qOmQ4Sz81E+bDJ4ShuiXMpaAFMoCejK9CLDon1qLytLwdg223HB3WS8B3C+vWOFF9//XVCUUoFetaq6uCPPPJIVgUwca2KqgCmqlzPApjFDYUTySvoBbXxxhu7Fwf0LsKQDOjBgu7b6CqNmwcKTZoo4YQuubgBoHs+ugyroRMw5IF+I8a0FVdc0S0kh+EJ0L0cPbYwHa/1mxMK3uGGcvLJJ7s9U3AzVRfAdCIBPYPUcrFfWA+G+0D3Y1WYUDF37ly3SzjmRckAXJhRkBNCUYmAfAsn8PTTT7vbgCKN//d//+e2j+oSjaFGzGrNmQgn3NxVTykcP4gdHHf0SMSNFtMxhIaOOo64KW2xxRbu8b7ooovcz0Bg4z30nDSHm8AxxbLwPvYLvZRQoBSfPfbYY5v2DTdm/calPoNlq/MG5xnEHnqc4T0UcgwCbvhqqBEca6xbdZtXw3foAubFF19sKi+B4TpOP/10Z80113R7+KkedHp7Yx/VzRcCANuK3lr4DqEXnq0QJaqlqx6DqFCN/cUDxwXHAEVPsylHACBC9CFXsB+qHUyBAnA81l133abhUFC8FW0EkaoXjVRAGEGIoII2yhhgHaodIJyeeeaZhPmxfzivcd3AdxPfuQMPPNDtqYrP4JjowtM25ApKHuy8884ph1yBwFfnNnrTYn9wfmGbbKUx1JAr6C2Jax+2C8cby0CbmOB4m0Ou4BqD8xKlFTjkSn6hcCJ5B79+r7vuOvemjIsLboz4RYqaPX71d5RwgvCCo4CbGy46qJYMN0MHv9yuuuqqhCrMuHhjGTZnCNV68R5uOuav+yAiAb+i4aShijku+Lgoo2s26iChG7gptHCxRlVo/BpFXRtsk5/YyYdwUuUNcHPAjRvthV/PqHlju0lkIpwAblA4VrjRYT047rjB4oaAcgy2+VFLCTc/VFfHMcRncM5A/EAY2NwEBbqn4yakqrTjJoZl4Fc9xLnppEDsoHo3brLo3o7PoC1wM8RNCm5UGHCs8TncIHGsIf4glnCzR/vBDdFBXR+ICMyLdkHVcbiofu2NYwORDuEPsQE3FpXDsRzMD1fNBG4Z2hPnJz6DtkQJB7STuX+ZCCfw6quvuscY3wM88BxD4/iJ9s0339wtSYDjAxEA8e7nFKJmGYSn+lGCHzzYF2y/OXQKgIsGNxk/0tS1Bj+2sAw4wDb3CuC8gmjG9qjtwutU5xvG4sN5iWsAjjnWAbHqB5wqCEWIWVX5HeefKeT06ybOeZyb6pqGtlJlC0j+iOFPPkKChGQD8gLQ7ZynKyl1UP4AuUboJYWec1GDRHYkmyPJeuedd458+YRUOkwOJ4SQHIChYkxQDgCJxxjKJlvRZFs+ahqhFAeG7cimhxwhxB/WcSKEkByAoqfotYix0NB7E7Wn0HsRPRRRFypbUHsI9b/Q46pjx45uzzyUG0D9rvvuu09atWoVyX4QQhKhcCKEkByACuMQMqgrhK7tKMqIqtYopLnqqqtmvXxUOEd1/GeffbYp7AeXCQP9qsFlCSHRwxwnQgghhJCAMMeJEEIIISQgFE6EEEIIIQGhcCKEEEIICQiFEyGEEEJIQCicCCGEEEICQuFECCGEEBIQCidCCCGEkIBQOBFCCCGEBITCiRBCCCEkIBROhBBCCCEBoXAihBBCCAkIhRMhhBBCSEAonAghhBBCAkLhRAghhBASEAonQgghhJCA1ASdsZJoaGiQSZMmSdu2bSUWixV6cwghhBCSQxzHkblz50qvXr2kqiq1p0ThZAGiqU+fPrk6PoQQQggpQiZOnCi9e/dOOQ+FkwU4TaoB27VrJ5XktE2bNk26du2aVnETthvPs/zC7yfbjOdb7pgzZ45rmKj7fyoonCyo8BxEU6UJp0WLFrn7TOHEduN5Vlzw+8k24/mWe4Kk59BWIIQQQggJCIUTIYQQQkhAKJwIIYQQQgLCHKcs8g2WLFki5bZPS5cudfOcmOPEdiv0edasWTOprq7O2XYQQkgmUDhlAATTuHHj3BtAudWxwD6hlgXrV7HdiuE869Chg/To0YPnIyGkaKBwyuCiP3nyZPeXMLoulpMzg31btmyZ1NTU8EbFdivoeYZ5FixYIHV1de7rnj175m6DCCEkBBROIcEFHxd0VBdt1aqVlBMUTmy3YjrPWrZs6f6HeOrWrRvDdoSQoqB87JI8sXz5cvd/8+bNC70phJQ96scJcqIIIaQYoHDKEOYAEZJ7+D0jhBQbFE4kNA8++KCbtKu49NJLZe2112ZLEkIIKXsonCqEo446yv31jge6eXfv3l223357uf/++0P3DjzwwAPll19+iXT7+vfv727bk08+mfTe6quv7r4HwVZIVPuZD3QQQOj26KOPlnJj6NChcuaZZxZ6MwghpGigcKogdtppJ7dH4Pjx4+XVV1+VrbfeWs444wzZbbfd3GTdoCBpF8m6UYNeig888EDCtNGjR8uUKVOkdevWUmjQdupx4403umP64fmkSZPkzz//dKeVCvnOGWKOEiGkXKBwqiBqa2vdmjgrrLCCrLvuunLRRRfJ888/74oo3c25/vrrZciQIa5YgZg5+eSTZd68eb6hOp3333/fdbQgdnTOPvts2XLLLVNu36GHHiqjRo2SiRMnNk2DI4bp6IGlU19fL8cff7wr4CBgttlmG/n222+b3v/9999lzz33dJ21Nm3ayAYbbCBvvfVWkst15ZVXyv/93/+5I2L37dtX7r77bt/tQ9upR/v27V23SZ+GfV9vvfWkRYsWsuKKK8rw4cMTBCnmv+uuu1yhiqTn1VZbTT755BP57bffXGcH7b3JJpu4226GQfE5HAt8bv/995fZs2cnbBsEJ5aHda+66qpy++23N70HoYx1P/300+56MM+jjz4qM2bMkIMPPlh69+7tLhfH/IknnkhwKXE8brrppiZ3DcuyHf/nnnsuIR9JbTeOH9oC5x5606njhnMQbWgeN0IIKXYonCoc3LjWWmstefbZZ5umIfR08803yw8//CAPPfSQvPPOO3LeeecFWh7EEW6UjzzySNM0iAfcqNOFsiBydtxxR3edAGUfnnrqKVfY6OAGvOuuu7ri7JVXXpEvv/zSFYLbbrutzJw5050HQm+XXXZxxdLXX3/tLnf33Xd3nSGd6667TtZff313HgjEk046SX766ScJyxtvvCGHH364nH766TJ27FhX6EBgXHHFFQnzXX755XLEEUfIN9984wqcQw45RE444QS58MIL5YsvvnDnOfXUUxM+A2EF0fPiiy/Ka6+95n72lFNOaXr/nnvukYsvvthd148//uiKwX/+859N7ag4//zz3e3DPGgPVO6G0HvppZfcYw1Bg3349NNP3fkhmCDkjjvuuCanDeItKGq7//e//7nbDHDcpk6dKi+88IK7v+ZxI4SQoschSdTX1ztoGvw3WbhwoTN27Fj3fxPrrec4K6yQ/wfWG5AjjzzS2XPPPa3vHXjggc5qq63mNDQ0OEuWLHH/6zz99NNO586dm14/8MADTvv27ZteX3LJJc5aa63V9Pqqq65yl6d47rnnnDZt2jjz5s3z3b5+/fo5N9xwgzvvwIED3W146KGHnHXWWcd9H+vDesHbb7/ttGvXzlm0aFHCMvC5u+66y3cdgwcPdm655ZaEdR522GFNr7HObt26OXfccYfvMmxtgM9tvvnmzhVXXJEwzyOPPOL07Nmz6TXOqX/84x9Nrz/55BN32n333dc07YknnnBatGiR0LbV1dXOxIkTm6a9+uqrTlVVlTN58mT3dZ8+fZzHH388Yd2XX365s8kmm7jPx40b567nxhtvTLtfu+yyi3P22Wc3vd5qq62cM844w3ffFSNHjnTXoW93s2bNnLq6uqZp6rjhu6OfZ6mOm/X7VqEsX77cPeb4T9hmPN/yd983YQHMKEBY6u+/pVTBPV0Ps7z77rsyYsQI1zmZM2eO6xjBnZg/f36gXCOEeP7xj3+4+Ukbb7yxG6454IADAn0WjgQcGIS98DnTbQJwmOAode7cOWH6woULm8Jc2FaEyuCmIAcJ+4D3TcdpzTXXbHquQm+qWnUYvvrqK9dBgduj1/xCu8E5U/WI9PXBYQMIkenT8Bm0O0KQACFEhNMUcIGQ0P/zzz+7RSER2jzmmGNcZ0iB/UUoTAfOmg627z//+Y/r6v3999+yePFi9xFVPlm/fv2ka9euScetS5cuvseNEEKKHQqnKOjRo6TXi9DNgAED3OcTJkxwxcuJJ57ohpU6deokH374oXtjDprgi7wjhMWQd4OwHcJp7733XqDPIpcJ4aJLLrnEDRmNHDkyaR6IBgzBYVumyr0599xz5fXXX5drr71WVlppJTehfb/99ksamBn5WDoQT5mMQYjPIK9n3333TXoPOUW29SmxapuWahvUPPq2Ily30UYbJcxnDpBrCiKEKW+44QY3qV3ltKEHXbrBqxHK9Qy0OLZzw1yfOm4Q5mblcL+cOUJIBsyfL4KUg3XWwReWTRgxFE5R0JibUoogf+n777+Xs846q8kVwE0NN1U1Dh/yVMJy7LHHykEHHeQ6JQMHDpTNNtss8GfhMkHwoOxBx44dk95HXgzym3DjRYK3jQ8++MB1vvbee2/3NZwOJDbninXWWcd1gCDSogYuGVwzDPMDkFCOY7PKKqu4DhUSrf/44w83iT4MaCMk0B922GFNwubXX391k8wVKLOgquUr4CJhgF7dgVQ5TKkwjxvHRCQkB+BHzc474wsuctppIjffzGaOGAqnCgJhGNy4cCNEgi4SjRGSQy8vJCwDOEQQTrfccovrGn300Udy5513hl4Xko8RKvr3v/8tl112WajP4sY9ffp037EAt9tuOzdctddee8lVV10lgwYNcoUFnC1MQ0gKAgYJ79gHuBpIls7ESQoKkrOxboTV0OsNwua7775zRSnaIBvgWB155JGumEQIDwneCH0irAjgdGEaQns777yze5wRNpw1a5YMGzbMd7loIyRuf/zxx65ARW9KnB+6cILAgfMH0YneiXAg4Wzh2KBX5mmnnSafffZZoBpb6rhBzCKRffDgwW7CuX7cCCER/JCHaAK33ELhlAPo4VUQEEoIleBmiJpOCJmg9xxKEqiwDrqQw22CIFljjTXksccec8VVWCAc4PhApClRFgbkL6lBXk0ghHCzRQ8+uFNwXuBu4eau8oYQgoIY2HTTTV3xBCEHxyNX7LDDDm6vtzfffNMtfYDcLggR5PlkCwTOPvvs4/YSxHpwXPRyA3D37r33Xle8IOS21VZbuc9V+NUPiEm0CdoGZQogxCBgdM455xz33IDIgdME9wviCb0kcQxUCQOIt3So47bFFlu4PfggeM3jRgjJkkcfTXxthNVJ9sSQIR7BcsoK/KqHW4KaMypBV4HE3XHjxrk3JT13pZJGrQ8KkpVV1/NyJup204EgQY2kIKGwcmyvcv6+hQWOKTouIIdQhdEJ2ywB5BqusILItGnxafX1IsZ9jOdbuPu+CUN1JHJw4n3++eeuWwU3ixBCSB74/PNE0QQmTcpIOBF/+LOFRA4SjvfYYw+3rADGwyOEEJIHxo1LngbhRCKFjhOJnKClB0iwUF2Q/CFCCBFtuKomKJwih44TIYQQoucJ7bYbKsZioMfctQvKfKDWUpS9fSmc8gKFEyGEEKKAY/7yyyhqh7oquWsXjIqA0h9Dh4rMnRvNMimc8gKFU4awMyIhuYffM5J3dPHxyy8iU6dGv4433hB5+GHvOWouoQxIFM4ThVNeoHAKiap3lG5YCkJI9mCcP9vQOITkjMWLE1/fe2+0y4dAOvPMxGnvvCPy5pvRCSe9LhpznCKHyeFhG6ymxq2aPG3aNPdiXk71VHJZj6icYbtF316YB6IJdYswjp057h4hOWPWrMTXL76IoQGiWz4GtP7xx+TpGNoqm9AgfmTMmOE9x9BPy5Z5rymcIofCKSS40KP6NoryYUDccgI3KxTZgxikcGK7FcN5BtGkhpYhJC/Mnp2+i382TJ4cf37yyV7Ibt48EQxofscdGCAys+X+9Vf8eZ8+qOgYF06oc80fw5FB4ZQBGPh05ZVXLrtwHW5mM2bMcIc7KScnLdew3XLTXnB06TSRggunujrPzfEZOzM0U6bEn2NYpD32EHn8cc/pevttb4DebPObIJywvO+/90KPM2diHKvst524UDhlCC745TYEBG5ouFlhvyic2G48z0hFYgon8OefIquuGr1wgpuKxHAIJ1X5OyrhNH16/DVcJwqnyCgtW+HTESKPbiByc1uR27uJPLeXyMyfE+eBJfnxpSJ39hK5qaXIU0NFpo8p1BYTQggp5RwnEGU9Jz1UB+HUv3/8dTY9+CDudOHUq1f89YkneoLst98yXz4pUeH01yiRtU8ROWS0yH5vijjLRP67g8jS+fF5Pr9a5MvrRba9VeTQz0Va9xD57/YiSyKqk0EIIaSyHKco81l1x6lnz8QecNkIpx9+iD9feeVE4fTxxyKvvSZy/PGZL5+UqHDa9zWRNY4S6bK6SLe1RHZ8QGTunyJTv4y7TV/dKLLRxSIr7yPSZQ2RnR4SWbZA5MdGK5QQQggJI5yidJzMUF23btEIp2++8f4jhWTQoEThpHj3XYmkQOjVV3t5UxVKaQknk8X13v8Wnbz/9eNE5k8R6bdDfJ6aWpHeW4lM+rgw20gIIaS0Q3W5cJxQm6xjR0/otG+fnXBCrzwVhhsyBHVz7MIpG2BMXHKJyNZbi5x/vshll0mlUrrJ4TiI7w0TWWFzz1kCEE2gtWZ9glbdReb4n/iLFy92H4o56MbZmCyNR6WAfVVdxQnbjedZccHvZx7azHEkNnu2oEiGs9pqEmust+RMmCBORNfF2OTJ3vK7dxfH20iJde8usfp6caZOzWw9334rVbgnYrlrrukto2dPqzMStC2S2u6tt6RKE0vOV19F1ibFQJj7XukKp7dPFZn+nchBH1reNGvDpK5hMWLECBk+fHjSdBS5XLRokVQKOHHq8eV1HPaqY7vxPCsy+P3MfZvF5s+X7hh8F6NDdO4sNV26SPX06dLwxx8yDWUJsmX5cuk+bZr7dFnnzjKjcZmdOnQQVG+KzZkjU5HkHbLHdssPP5RGz0rmDhwoC7DcWEy6x2ISaxRUijo4XgHawmy7ll9/3bQOsGzWrKbtLwfmhhgvsDSF09unifz+gshB74u07R2fjkRw5Ty16RmfvqDOc518uPDCC2XYsGEJjlOfPn2ka9eu0q5dO6kU8EVBQULsN8sRsN14nhUX/H7moc20IpLNkXuEWn3Tp0vV1KnSDeG02lrJiilTJNbobNT06SPdGvObYr17i3z2mfu8G4SOnvcUgNgffzQ9b7P55tJGfR6J53pOFZaPEGGA0gRJbWcIsJo5c5q2vxwIU16otIQTDtw7p4n8NlLkgPdE2g9IfB+vIZ4mvCnSfR1v2vIlXm+8La7yXWxtba37MMHJUmkCAl+UStzvbGG7sb14npXBd7O+Pv455B9BZHz2mevaxOAEIek6GzSHJtazp8TUNmnV8avgSKEwZhi+/Tb++bXXjjtKWK4hnNzld+0avu0MRyY2Y0Z8+8uAMPe80trrt08R+fFRkV0eF2ne1nOW8Fi60Hsf4bh1zxT57EqRX0eKTP9B5LWjRGpaiax2SKG3nhBCSKn0qOvQQWTFFRPHmIu6hpMim5IECC1+9533fOBAkbZt4+/ZxECmCeiaqHSZPz95QOQKobQcp2/v8P4/PTRxOsoSoEwB2OA8kWULRd4+WWTRLJGeG4ns94YntAghhJCgwgl1lvyEEwTIP/7hDWty220i662Xvl1190cXS9kIp19/FVnYaB7AbdKx5ehi+W+84Q0js+eewcewa+w0lQBKEuhtVCGUlnA6OzHGagUnwaaXeg9CCCEkE+GEUB0cHIWWRyRjx4pstll8fvQ2e/759MvHoLsKPT8oG+GkhemShBPKEpg895zIU095zy+4wCuceeSRIvvtF85xqmDhVFqhOkIIISQfNZzgOOnCCcUjP/rIc3EOPjhRZH3ySVLytBW9aGSnxvqD2QonVfjSJpyuvTZ5fiWawH/+I/LSSyIHHph++/2EUwVC4UQIIYTYQnUrrBDvSQdnZ/PNvQRxlVOkQMJ1kOri+RZO220n8uqrXigxFejp11gmIVSobobmoFUQFE6EEEKIKWwQqkNytdnDTR9Md++9488bywkUTDhheRB6ZurKTjulD8OZ+2WDjlMTFE6EEEII0F0XlYPUv7+9bVZfXeTYY+OvP/00c+HUurX3CCucMK9KOIfb5JfojbpN6brbpxNOdJyaoHAihBBCTNGihJNf7s+WW4psuGFmwqm6WqRNm8T3lOsURjilSgzXwfrSjV03caL/e2gDOk5NUDgRQggheoFK5DWpekhHHGFvmy22EOnSJe5IoXdaUOEEt8l0h5RwQoI6KpZnm99kctZZmTtOqNe0dKn3vL028ApznAghhJAKRgknuE1K2BxwgMh993klB0zhBFReEUJZ6QSPLpxM9DyndInaNsdprbXSC6crrvBKFGDeL74QOf/8YMJJd5sGaDlf7FVHCCGEVCiowK0Eiy5iIDT+7/9ELr5YpHnzuLDC+HKmCEolJODYqGFL0gmnoOE65Thhu1ZdNfW8EIIXXeSJw6++8gp2QgwqgZiJcJrBXnWEEEJIZQLR0zgAr3WQXSRXjxwpssceibWQ9AFzUwknvUZUFMIJ1cJ/+imeqK5EXTpUb0GAz6gClqlynPTE8B494iUa6DgRQgghJcTLL4vsuKPIK69kvyxtAF6rcAK77OJVCB861C6cUjkw6YSTvs4gwgk5VUropctvSkWfPvFx9PzGntMdp/bt49tPx4kQQggpEX77TWS33bxx19IlPocVTrr7k46gwsmvFIFtnUGEk3KbwJAhkjF9+8af//13esepfXvPtTILhlYQ7FVHCCGktED3+GOOib/+5ZfwyzDDTLZSBEHQRVA+hdNff8Wf9+snkQgnv3Cd7ji1ayfSrJn3fNkyqUQonAghhJQWGHD3/fcTp6nu8kE47TTPKTrkkPjNP0iozkbQHKeohZMuclSierbCyS9B3AzVVVfHE+orEAonQgghpYUucmw5ROmSqu+6y3v+xBMiJ58cnXAqlOOk8pQyQf+sn3AyQ3XVjcKJjhMhhBBSAthya4Lm22BMOd2duucez73JNMcpqlAdQmCqt1oYxwnlEsIIvWwdp3bt4sIJqAT1CoKOEyGEkNLCJpKCOk4ffJA8bfz4zHOcogrVoZ5SmGFXlHBCAU5dyOQix8l0nGpq4q8rMFxH4UQIIaRyHCebcEJXfN1xwlAqUYfq9PdUrzQTJZymT08tSBBuVMvLJr9J7WuLFqkdJ12UttdCdYDCiRBCCClTxwk5OR9/nDx9ypS4cIIQUr3GgtCypfdIJ5yC5FApEeY3qG7U+U3K6VLLmDDBPqixPgRM164UTtm1OCGEEFIijtOPP4rMm5fsFMFxUuGxTPKFghSEVMtHHhPyhGzoTlSqsJ8unLJ1nPRwHdrGJtjggAEIxNatKZyyb3FCCCEVBQolfvihyPz5peU4oWimYrvt4s9//z2+L5kIJyXCIHZMxwbJ0wsWxIUTwnFqfDgTPfcp1f7ouUjZOk5B8pyU46RCmNUM1RFCCCHBgCOBsdG22MITDPfdVzrCCQJJsdlm8efffRd/no1wwpAlEEkKvF5nHU8Q2QYQLjbHyZbnBOGnnDSE6QCFEyGEEBIQjJGmwjkQBlddVTyhOuQqvf66f30hXTitv348l+nnnzMrRZAuQfzZZz1Rpo8Bl2r5QR0nXdxEIZxS1XLCsVYJ4HScXBiqI4QQEhwzBwbuhy2hON/CCY7O5puL7LSTyPDh/hXHFSutJNKjR/I82eQ4mcIJydYmQYVTKsdJF4ArriiRCifdzbIlhpuOUwUWwaRwIoQQkrlwQtd4vc5PPoWTniv09ttxQfHvf9s/p95v29ZzT3r2jF446aLOVo8paKguleOkcrVQGkB3uzJF3yZdKOmJ4YCOkwuFEyGEkODYRBJ6peUTJU7glFQ13sbmzk39GTgjygGCSwPRZRNOmYTqOnRI3ja/wYezdZwQ9lPhtJVX9k80D4NykmzD2dgcpxoWwCSEEEKCYeuuPmlS/loPYUElTuDQ6KIlFRAbKqw0cKD3P6pQHZyfoMIp1fKDOE6ocq6GOUG4MQr0gp90nNKiyUZCCCEkA+Fkc5wwJhxu/jvsEI0roli0SGTJEu85RBNqD6XKB7LlNynhFFWoThdvqn2wjePGZe84ffmlyCmneIJs8GCRNdeMzxOVcGre3BN/2PZUwom96lwonAghhEQbqkOhyU039XpjvfCCyO67R9fCuqOjhJNJv36phZNKqI7KcbKF6rA+23AkYXOczj9f5NNP473/Ro6MXjgpUWQRTjHmOCXBHCdCCCHRhurOPTcuGi6+ONrW1YUThIZt3Dc9dGYTd6oL/9prJ86DMduQOB6FcLKF6dIJJ6xfDd8CxwkiddQo//mjFk5q+5cujU+ncEqCwokQQki0oTo9ROU3vEhUjpNNOOk3/lQhpw03TCz+iKTnTMKKNuH066/2ef0G+DXfh+P05pvxvKwTThDZeuvEeZEcHhV6grjeVunKESxPMRhxmULhRAghJNpQHRKYFf37R9e6GBblllsSBYutjlE64aSSoSGS9tknPt0W9stUOKEYpw3VCzBdnhMcp5dfjk/fay+R227zFzvZoi9LF0uqLhXaSm1bNes4EUIIIeEcJ7gzKqxlhur0YUdatYquZS+5ROSJJxIFyxlnZC6clCBRIPk6KuGkF8JUguPAA9MvSzlOqI/1/PPec4TvttpKZLXVRP71L6/t8T/KpHs/4aSeYx+UYKqm40QIIYSEc5yQR9SrV7LjZPZwgwCIio8+SnyNbUDPOIS0kB8URDhBdOjhwy23FDn0UE8YXHNNZtuFdaNnmp9w+uADTwQFGdfP1rMO4wKq3CdURUfPQr/q6FELJyWUdXFYXdnCib3qCCGEBEfdSCE+IFrQ0wshLhSghAOFHnW5Ek76ECatW4tsu633fLvtvO1QvelSCSe4TbpTg+ePPurVh8rGwYGwQPFIJZx0hwtJ3EHdLFsO1CabJL7WhUuuhZNyD9HeihoWwCSEEELSA3GhhJNyexQqpydXwgliSA1hgrwmFLTUx1hDkvcqq8TnNbdbF042sg17KUdGtY9ynCAwlRsVBN1xUmy0keQcm3BavlxicLdM4VRd2Y4Tk8MJIYQEA8N9KFEC4aR3rVdDdYwe7Z/vlA3Io1IVs1FGwCYwmjWzCydsgxIAfsIpW3ThhO1UQi3sWHJ6Lz8Fev/lUzh9953bm69JNJm5atUUToQQQki4UgRwUnThBDcILsvjj+fGcZo4Mf5cd5pswklVFk+XGJ4L4aRcOVXAMqxwQr6V7lDheRQD+YYRTs8/L7Edd5SYLnrpODVBx4kQQkh44QTHSa+yDeF0553JQikq4aQGtvVzZUzHCQKmEMLJHE8u7Pow/3HHxV/vsovkBaO0Qey996RKL6lAx6kJCidCCCHhaziZoToIJyRZu3eWqsI6TmbuTb6F02+/xZ9n4hZdfrnIoEFeT7ozz5S8gHUZuVRVerFRCqcmKJwIIYRkH6qDy6KGGUEOkkocz4Xj5Cec9BBXumFDokYf5uX337NbH3rWjR3rJWmjflO+eOuthGMa04+3X6huWWNl8wqCwokQQkhmoTpdOGFMNRWeGjIk7lD4CSeE0lDb6JVXwjtO6UJ1pnDSayqVguOkXDtdrOSDNm1Ett8+vgkqTwvQcWqCwokQQkhmoTo9x0kfZmWNNeIFG/2E03vveVW7d91V5P33gztOqCHkN1Cuj3CK5TtU98cf8ef5SOyOktrapqdVulCOQjj9/LPIOeeIfPGFlDIUToQQQjIL1eEmq4eobMIJPbP0RG3F+efHn593XnDHqXdv/wKQfo5TvoVTtqG6IhFOvqG6mgwKYKKUxc47i1x3nchBB0kpQ+FECCEkGPpwKkoo2NwfXTipm6aJPuyJbeBgHQgvlaicysEppHDS60rp+Vil7DhFmRx+110i48bFhaUuykoMCidCCCHBUJW7QY8eduEEQbXCConCyRau052qdDdRJCCr/Cl9ucWU49S/v316qTlOWoJ9oOTw5QGEE4Qzegrq/PqrlCoUToQQQoKh1/XxE05wmzB8SRjhpDsbNvQK1vpgvmEdJ3xWd06iZMAA+7AtdJxExoxJdP2A6oFZglA4EUIICSecIBBUwUQ9QRxstpn3XxcoNuGkv59uWJaohJM5wG/UIS7kX5WTcIoqOfxHY/zCEhdOWoZXifDX+yKfXyMy9UuR+ZNF9hgpsvJe8fdfO0pkzEOJn+m5kcghxvhJhBBCMhNOECBKpJgD2J5+uvc/neNkDosSVDiFDdUFGeA3KjD4sF42YaWVUm9vqSaHV4es42QTTiUcqis94bR0vkjXtUTWOFrkhX3t8/TfSWSnB+Kvq0KMTE0IISQZCBCV46SH51CzSbHjjiK9ennPdcFgc5RMMYUcJr3iuN+8IR2n2Ny5ElM391wLp4EDvXpWivXXl5IjF8nhP9JxKiwDdvYeqaiuFWndGH8nhBCSPej5ppwfld8EUIvp/vu9m+kjj8Snp3OczGnosecnbLII1VXpPQHzIZx0NthASg7NQayKKjn8xx/jogyhXbhycJwgxvXQKWqBoUfiFlvkLqRakY5TEP56T+T2biItOoj03kpk8ytEWhlxeI3Fixe7D8Wcxq6xDQ0N7qNSwL46jlNR+xwFbDe2V0WcZ5MmNSXFOt27i6O2A73o9AKWjdNjLVqIuvU1zJ8f7xXXSGzhwqb33XkmT07s0q+zYEF83bW18XUbxGpq4utctMhtq5jWo87p3Nn3s5EwYEBC4nDDeusl7XfR06yZNfm5AYJV7Uss1jRPg97j0cbSpRL79Vf3uDirrOK6lTEIp/p6aYCDqXLkZs2S2Jprug6hc8wx4qB8QR7FU5jvVfkJp/47i6yyv0i7fiL140Q++qfI09uIHPalSE3cgtQZMWKEDB8+PGn6tGnTZJH+S6fMwYlTX1/vXpyr/CxzwnbjeVaR389mP/4oKs15Qbt2MreuLuX8rZcvl7aNz+unTJHFxvwd58wR/Yo8+6efZIlKODfXPXly07rnNzTIPJ91t1myRNqo5eH6XVcny7Wco3ktW8r8NNudDTUdO4ruaU3r3VucHK4vF7RYvFi0Up5NTF+wQBoa96V2/nzp2Dh9Xn29LEixj9W//ipdG0OliwYMEKdjR1FBv1lffy1L11nHfd78o4+k09y57vPYfffJ/PbtZd6550q+mNu47soUTqseGH/eZQ2R7uuL3NNPZNzLIivvY/3IhRdeKMOGDUtwnPr06SNdu3aVdnqRtjLH/XUWi7n7TeHEduN5VlwU/PupufItV1xRWpq96Uy099sj/GPMHzNCPB3wI9VvmVrYr3WnTtLKbz6teneH1q2loVs3madtd+t+/aR1uu3OBiM01xUlCkoNH/HapV+/eLiuU9wZbNOypbRJ1aYfftj0tAUGf9aSyTviPFafNRyf1rffLq1QUd5ne6KmRaoQcNkLJ5M2PT33aZZ/Bn9tba37MMHFqdIEBC7Mlbjf2cJ2Y3uV/Xk2bVrT0yrkOKXbBi2ZuArixZzfyHGqwvL9lqn1wIu1aiUxv/n0/BwIM7SVNlBtFW7CuWw7lB44/HCRJ54Quf320ryO+vQCrIJoUvvTLJ5LVpUqqR9o49LF1lorYTiaqnnz4p81annFFi2S2O23i1iiQbkgzLEqwaMakoUzROZOFGnds9BbQggh5VX8MhXpksPNNAh9+Zn2qtNLI6jk8HxUDdd5+GHEfUSOO05KErO8hDqWurCoDpEcrjlObo0vv6F29CR+xa23JtbjKhJKz3FaMk9k9m/x13PGidR9I9Kik/f4+FKRVfb1hNKc8SIfXCTSsovIynsXcqsJIaRyhVOQcgT6cC6l2qtOESLsU3RYoi9J1darAwonHLfPP/eer7yyV8ZCF056rz39OMHdQocCTJs0SQRhwiKi9ITT1C9Ent46/vq9xtyk1Y8U2fYOkenfi4x9WGTxbE889d1aZLenRJqrNEVCCCEFd5zMabhRlotwKmXCCqdlKQpgQjSpMOvmm3v/gzhOKBz67bf+A0QXmNITTn2Gipzt+L+/3+v53BpCCKkMkI+iCNJpJqxwss0TtXAqteFPikU46TWcwjhOepgOtZnMMQr9hBOKqCrhVIQ928s/x4kQQkj26EOk6AIlqhynXAunNm1KO4RWiqG60aOTxzD0c5y0JH7pqeUkF6FwKj3HiRBCSOGEE5KHgxQmTDXIL262ZtJvroUTw3SZJ4dn6jh9/XVcLCH8pp7rOU4IxaHnHSqGq/XrhVAZqiOEEFLywikIqRwnm0hCAjm6tqOmHrqm33xz/Carzx9mkF/HkZjq5s4wXXSOU01NeuGE3oyq+CjqN6leeXqo7umnvbH99I4BEE36MabjRAghpOKEk9mrzi/n6cEHRW66yXvdt6/IZZdl5zgtXiwxVVgRoTqSv1Dd141uE2isDu7Stm3q3pQQTvoxLkLhxBwnQgghwYVTkPymdI6T7WaIeeBAKB57zD5/GOGkCzbz5k9ymxz+tY9wgluV6lhQOBFCCCkLVE5SrkJ1mKbX9dGGT6FwKnHHae21E99L1SuTwokQQkhWoE7OuHGlF6qzVPFOK5z0YTf0XJhMHSe9NpTpmpD0bWg7FkGF0zffxM+DwYNTL88UTrp4Y6iOEEJIYBzHq3+z4ore8BOlJJxwc1W974IKJ71Luu5yZCKcsL0M1YUHx8w8xqmE07Jl9vNWjUm3yirJYiyM41SEveqY40QIIcVcrbuxFk7VGWeUlnDCDVjdMPUaUH4uAm62dXX2gpv6/GF61VE4RROuC+s4zZwZP+a9eye/z1AdIYSQnFBMA5yGFU76vKZw8qvZBPGk0POdgg7yS+FUHMJp0qTEKuAmqUJ1SB5nrzpCCCEZkaooZD7BzVF16w8jnJSQCVPs0iacdMcp1frNvCrdcWKOU/EIp3YpQnUI11I4EUIIyQiz/lGqKs3FNNxKOscpSMKvTTjhhpqqanmq5HCWIwhOuhynmppohdM998SfH3FE0QsnDrlCCCHFiuHMVOHXuD6OV77QHaN8Ok4I3UEo6cIpyPrUOpnjVBqO09FHe8e5WzevBx6GYFFQOBFCCMnUcaqaPr0wjac7RlHnOOGmrLtL+g0ZjhEqfmcqnPT10HEqjHDqaRH65jmE5R1zTPx1kTtO7FVHCCGl4jhh/K9SFE6pHCd9QFcTJajoOJWX4zRfC6HaYDkCQgghkQinUnOcgpQjCCKcVDukKkWgrw8sXSoxFsCMRjiZobXqNHWclHBC+K179+T39VITNug4EUIIyYhKCNV17Oj/eTpOhcE8xnoyeBjHCTlLts4ERx0Vf37zzSUnnJgcTgghxUq5OE6qnEFVVfhQHT6rQn1MDs+74+S0aCFJ/RirUwgnHOfJk/3DdGD99UWeeMIreHriicnvUzgRQggpacdJz1HKpByBWoa6IQcVThi7Th9yg8Ip/6E6W3i0OoVwmjYtPs1POIGDDvJ/r8iFE5PDCSGkWCn15HCzl1smOU5Bx6kzb+gsR5A5emjO1uY1Keo4/f13/HmmpTOwfOVOUjgRQgipuBwncxlhcpzCCCd9fDyzACYrhwcnXZtXVfkLp4kT48/79pWMUevlIL+EEEIqxnEyQ3W2G7MpnPQwEYST3gbpetWZPflYxykzgojV6ur0wqlPnww3QFsvHSdCCCEVlxxuLkN/3qFD4mf698/ccdLXqYXqHDhRZhd7khvh9Oef0TpOFE6EEEIyDtXNmWOvm1NqoTo9/GIWV8yBcHKrhqca444kore5n8tXHUA40XEihBCSV2xjuqGnWRR89pnIqFHBftFHnRyeynEaMCBxX/XtC+Ia6dXKdeFEcuM4LVvmH6rr3TvzVqfjRAghJFvHyQUD/WbLG2+IbLSRyNChIiusIDJ6dO7LEdgcJyQZt22b+Bn9Zov9D5vgbUsOZ2J45oLdT6xWp3GcUPwySE6aH2q9DNURQgjJynGKQjjpo8/PnCny0EP5TQ5Xy8P75s1VH6IDN019eA4M+JtpqI4Ex3Hiz/3artoinOA+qarh2YTpdMcJxxFFNR980Kv9hMGAf/tNCgnrOBFCSDk5TrjRnHGGyPHHi/z1VzBBBvGUz+Rw5TjBVTCFU5cu8TpBmE8XTqY7lWqdFE6Zc889TUn1zhVXBBdOkyZ5IifbxHDbQL8Q+089JXL//dGFqzOEQ64QQkg5OU4Iw6nxv3AD/OQTkY03Tr1cJJ0Xi+OE8gQQVHAvTOEUxnGaN09iyjmh4xSOoUOl4cMPZebixdJp5ZXt89TUJAunqBLDbdXDw54HOYSOEyGElJNw0is3g+uuS79cNZhuMThOSjhlG6rTw03Z5NpUIuiBuMkmsmzwYP95qi2OU1TFLwGFEyGEkEhCdenCFHoytRo7zMRMuM2VcPJLDtcdJ32YFNXLTq8aHVY42ZKZmRwePdUW4aSHhrPpUWcTTvp5TceJEEJIUMcpls5xMoWTTRTlK1TnV45Ad5xMsnWcbNvHUF1+hNP8+f71ucKinxvmeVBgIcxQHSGElFNyuH6DCSqc0jlOUZcj0B0nE4ijbBwnCqf8UG2p4xS2WGkmoToIqjDnYA6gcCKEkGIEOTrqRoRaS4pcOE5z5ybX48lVcjj2Sy3P5jjpw6PQcSotx2lRjoSTLqCLIOxK4UQIIcWIfhPq1St4jpPNcdITpf2Szs3P5So5HA6F2h61rMceE1l1VZF77028aeIzEHXZOk5MDi9t4bRIc5wKnN8EWI6AEEKKPUzXpYs4NTUSg+gI6zjhxgahpOf52KoxQ2D55aVEmRxuW9Yhh3gPhe5EzZiRtXByWrQQjlQXMdWVK5zoOBFCSDGiu0IQPUiaBmGFky1cZ3OcUuU5RZkcrg/w6zech004IYQXxDmybV+YbSbRCKeWLaMTTvrQOxROhBBC0jpOYYSTLeRWKOEU1HFKddOcPj1+w4R4CrPOMIMDk3DUWApg6udVto6TfsxwzqvwLoUTIYQQK/pNCL/eG4VTDKUD1M0KN5P33hP57LPsHadUJQkK6Tip4WCC3jDpOOXXcXKcuKjJVagubLg2xzBURwghxe44QTihMKSZIP7uuyJbby2y0UYiY8cGd5z8cpzyUY4grOOkoHAqLqq1wqVKyOdKOCnXEVA4EUIICZXjpIfrvvwyPg2DoBZbjpOtHEFYxykK4cRQXf6FU/PmuXGcWI6AEEJImFBdgnDSBY0SPjbHSQ/DIaxSiFBdIR0nCqfcCqdlyxKFE45fkHy0VNBxIoQQEgpdAEE4de0afz15crJ7o4RPOscJwsWs62TOk8vk8EI4TuxVl1/HqWUEgyoXsXBiHSdCCClG/vwz/nyFFcRZujRei+iXX5IFDYQTXuv5SDZRpIdT4GIp9ypf5QiCLIuhutIUTgsXRpPfZJ4DFE6EEEJSUlcn8scf8dcrrpjoEinhZDpO5iCrSgzpokgP03XvHhdOQUJ1VVWJN8xcOU4M1ZW249SiRVk7TuxVRwghxcRZZ3mC5s4749MGDhRZZZX4659/ThYhEEe6cNLHt/MTTj162OcxSTUobyk4TgzVlbZwmtlYkgJQOGXAX++LjNxd5M5eItfFRH59LvF9/Cr7+FLv/Ztaijw1VGT6mIyPHSGE5JUbb0x83a6dSOfObjmC5V26pA7V6XlR+vh2qRwn2zwmSvSEFSDpyhHQcSr9Apj5EE46FE4ZsHS+SNe1RLa91f7+51eLfHm99/6hn4u07iHy3+1FlmgDRRJCSDGi/7LWw3SNPZSWw3kCU6Z4QilVqE4XTnoYTs9x6tQpfgMMEqoLU8MpSDmCMI5T27bh15lqeSRax2n58vgxzqVwYjmCDBiws8jm/xZZeZ/k9+A2fXWjyEYXe+93WUNkp4dEli0Q+fHxTNZGCCH5Q89rUiixhF7f2nPXdUoVquvWzctJUu/5lTmAoxVUOGUTqmMBzPIWTou1czHqXnU6dJwipn6cyPwpIv12iE+rqRXpvZXIpI+jXhshhETL77+HE06pQnVwaJQoSiWclBujLysq4VQs5QjoOOVeOC2McJy6VMesCIRTeZUjgGgCrbW4PWjVXWTOBN+PLV682H0o5jT+8mpoaHAfeeeHH7zETr3gXR7AvjqOU5h9LmHYbmyvyPj996QeOw39++Mkc8+zZQMGxKf/8ovEFi1qKlHgzJkjzty5TZ9vaNVKYu3bS2z2bHHq68VR3+v58+Pz1NZKrKbGXQbKHTTNYxBbssSbp3lz33msVFc3rctZssT77OLF8fUjTGhbXrNmye2A6ulB1m37LJwvXtciva7Fqqqazr0GiOIFC+LHurY23Hlio3lza++1wOdBSMLc97ITTgsb4/EtO0lxYVYsdVJWMR0xYoQMHz48afq0adNkkW1MpxzS8pFHpP1558myvn1lxjvviJPHeC5OnHpcYB1HqpTFT9huPM/yRrsxY6SVMa2+RQtZXFfnfj+XtGgh6mq7cNIkqZk/X5p+l8+ZI3MnT5b2jS/nNjRIq9atxQ2W1ddLHUoc4Id8XZ2on2Tzli+XVlVV7o3AWby4aR6TbosXu1fVZVVVMsNnHisLF4rqt7dk/nyZVVcnrWbMkEYfTOrxo9WyvOaLFjXtp2L2smWyJMC6my9YkPTZafX1Egubn1XhpLsftFu6tOlcdc+J+npRJVpx16wPc57YWL686dzRmb5okTRku2wLc+fOzZFwWjhD5Pv7RMa9LDLlM5HlqrZHM5EeG4qsuJvIGv8n0qqx50e+QSK4cp7a9IxPX1DnuU4+XHjhhTJs2LAEx6lPnz7StWtXaaes7jwRu9VLeq/580/p+sQTIhddlNcvSiwWc/ebwontxvMs/8RURfBGnJYtpf0uu7hVw/H9nIW8pUZa6aPS47PLlklbzTlv26OHxBpd69jixdINzyEeNAHRpmtXiTWGVWINDdJNW37CdjUm/da0auU7jxXV2wqCJhbzPquF0tqjl6BteXpvv0Y69Otnn9fEMk/X3r2lKs/X8lIn3f0gpv2o74wBqLV5WnToILVhzhMfnGbNms49RRc4sDkwFFqECC8GE06L60U++pfI9/eILG/8YurF2CCgJn3kPT65RGTNE0Q2uRStJ3ml/QBPPE14U6T7OvFt+2uUyBZX+X6strbWfZjgZMm7gNDyDKoefVTkH//I6+rxRSnIfpc4bDe2V6Q5Tsg9uuEGiQ0ZIjFdRGg3jNiCBYn5QrhmaMKrCjlOWj5IFeaHeNI+U4WwR6OQwg0K4ZckcK1vvHnFmje3z+MH5oXb7zheuA+v9Wsc9tO2PGyXuSg92T0Vlhsg1sNrWsTXtZq4fKjCOaId11jLluHOk1THUhdO2B58B3JwfwpzfgQTTvetLLJoRlwsQRB1XVukZaMxt3CayLRvRBbNFlm2WOTrW0R+ekLkpKkSOUvmicz+Lf56zjiRum9EWnQSaddXZN0zRT67UqTjyt7j0yvxM0lktUOkJBgyxOtqrIrc/fabyEorFXqrCCG5BjeeiRO956uvLnLCCUmzOLqgQA86M6Fbd6wgmvQu/Egch3Ayk3iVA2UbqkW5Ruran0m4Cw4TxFq2BTBRyyro+lLVHCK5SQ5ftCjaXnXq/NRDaDkSTWEJdjYtnC7SqqvI4CNEVjtUpNva9vkgYH58TGTMQ95ncsHUL0Se3jr++r3GENvqR4rs9KDIBueJLFso8vbJIotmifTcSGS/N0SaB6wBUmjMUcvfe4/CiZBK4K+/4gJFSwJPKZwMxylBOOEmowsndQMye9Xpwsmx5INmOk6dAsvHdmYz5Aq2CeGgIBjbiETlVDmuJKICmAsj7lVnOz+KoIZTcOG05dUia58i0iyNioSgwmPTy0S+vV1yQp+hImdbRvZW4Auy6aXeoxQxhVOqLsKEkPJBr8HkIxKQ85RSOE2alOg46V23lXAynQHdRcIN0HRnshVO6jNh6jiZN0wU6gw6Rp4pnDjcSv4dpxYRCSdzOUGLoOaYYJ7XBuekF006mHf9szPfqkrGFE7sQktIZaDfePycmOpqcdTNxBaq04WT6TipGk+m46QLJVu4LgrHSV92Jo5T0DCdbRvZmy43VFM4kWLBLH9A4URIZRBEUOjhCggh03HSRRHmszlOfjlOuRJOUThOWQgnN1RHciucli2j45TEL/8Vua2TyOMbiziWIlENy0Ue29CbB/OS6BwnrTsvIaSM0UVQqlCHEk42x0nHlhyeKsdJ3QBzJZzCOE7mdDW4cZj1NcJQXRk5Tu3alVCo7uenvJIEQ45DuVDLUqq999CrDvOSzGGojpDKJEiozhROpuOkg0RyW3J4qhwnm+OkT8smVJfNWHXZhOqY41TaveqKMMcpWHI4esuB/jv5zzNgl8R5SWZQOBFSmYQN1UE46fX0TNGEbtvpQnVBhJMudDItR6AvW1+e336a68kmVEfhVJpj1dnOjyIRTsEcp3mTEitz21DvqXlJeHARNH9BMseJkMogaKhOiSE/0aSLq7Chulwmh9vKEfgtzywfwFBd8VHN5PDUIBQH5v3tP496T81LwmMbF4/CiZDKIGiozlJV21c42Rwn1fMONz4Iq3wlh8OVwPUsk+WFcZzMsgV0nHJDNYVTatr18/5/k6I2k3pPzUvSg4EKr7pK5PPP7WE6wORwQiqDsKG6VCjBZDpOEC4YkQBgRAKIpnyVI1DLD+I4mYRxnAy3iqG6PBXAXFQ5dZyC5Tj12Vpk+hiRL64RWTpPZMMLRdquEA/NfTrCK3iJE7bPNrnd4nLi//5P5OWXvee4mNiEEx0nQiqDKIWTLVQHx2nChPgNbtVVvf+5dpz0Gyx67anlYXrQ4TPCOE4GFE45orpyHadgwglVw7+9U8RZLvLtHd7DHcIkJrJkTjzeXt1MZO2Tc7vF5YQSTWDWrMxCdc88I/LDDyLDhom0bx/9NhJC8kPQG08Yx8kM1f30U/z1aqt5/3NdjsDPcQpTXykL4cRQXY6ortxedcHkfqdB3rArKhnRTWKe45UowHM1fctrvHlJeMxeCUGEE0J8BxwgctllIrfdxlYnpJTJteOEUN2PP8Zf+zlOSB/YemuRb7+NT4tSOCkhFmZZYUJ1BnSc8lQAc2EOetWVtHAC650psstjIm0aQ3Q6bfuI7PqEyLqnR7t1lQTUeljhdO218edXXpmb7SKEFJVwcsI4ThAnKlQGx0kXTjbHCaG8Cy7wBhffZptoyhGYobpMHCeMVZcpTA4v3VBdbW0Jh+oUqx0ssupBInVfidSP85ymDgNFuq3D0adzJZxSJYe/+Wb8+frrZ70JhJASqhyeCjUP8k5xs0EqABwnPVQ3aFCyGJo8Of585szchOqCOk533SVy6qleLmgW483RccoR1cxxCg6+iN3X8x4kc0wnCRfNMDlO06d7F0NFz548GoSUMrkoRwCUcILjpMRQr17xnEhdlNhqQxUqx+n440WOOCJr94LCqQDCqTai8QFLPlS3fIlXFRy5TSR7VDG6TEN1b7yR+DrV0AuEkMosR6A/nzJFZMaMxDCdGUpbsCB/veqCuEhRhHwYqsuPcFoSoCJ8mQinYKG6qV+LPLebyLzJIs1aiez0oMgq++V848qaOXOyE06//Zb4OtVgn4SQygzV+d1s1l47/lwXMOYPulw4TirZPE+CxskizEcyEE5VVYliuWIdp/fOFFlpb5HT54psdZ3IG8eJNFi6rZLg1Ncnvvar4+SX42Re4Og4EVJZg/wGdZxsN5u11iq8cMqXoDGHbyG5KYC5JIPekmGFU1RlDvIinKZ/L7LaYSLNWousfqRXhoBj0kXvOIXJccIAnzoUToRUbqjOvFnp8+giKp3jZF5XEFrLthyBfoPFPqo8Kgqn8nKcFi+OXjiZ34MiEcHBhFP39UU+vFBk3Ksib58i0rq7SNveOd+4inKcwobq6DgRUtmD/Op07Ro8VIcbm6rhlM5xQkJ5tuUI9M/o1zgKp/Kq47QkD45TkRBMOG13p8iimSLP7iryx8siOz8qEgueV05ykONkXuCY40RI5YbqunVLnxyuWH31RNGSSjjhOhVlqE5PPmfuUXnmODUvf+EULIOrw4oiR3wrsnCmSMssCpGR8DlODNURUhkEHfzWJpxSOU4rrOAfpsuHcPLrtUfHqbSpzoNwKtIekeFsI4qm3IbqbDlOTA4npDLQc0RSDX5rE07mkCS6y3TKKSL77BN/vcsu/sLGFE64TkXpODFUV/7CqTaiUgRquUVIRH0GScFDdUwOJ6S0UT+c0t14wjpOHTqI/O9/3mDgEEKbbpo4L0N1pFgdp6Vax4SSc5weXlvk1+fsVWVtYN6H18luy8qdbJPD2auOkPIiaEVt3LBU1e8gwkmxxhoim22W3DOJoTpSrL3qNtwwfq5fcomUluM07TuRF/cVad3LG6uuz1CRrmuJtGz8si6c5lUV/2uUyE9PisyflNutLkfHKWyOE5PDCSkvwgx+O3CgyFdf+QsnW887P1KVI8B1KttyBIUO1ZHcUKPJB5wjKqwWpXDC8EKjR4t8/bXI3ntLaQkn1G4a+7DIvL9Fvrzee/gBVwq/aAYfGd1WVnKOE0N1hFQG6vsfpCdROuEUpEhmEMfJzHHKthwBk8PL03FauDB3Cd0onaGXzyiZUN1OD4gc8qnISnt6ZQggjmwPiXnzHDJaZKf7c77xFZHjZEuOQ1vbQnVBQ6mEkNJ2nFZayT85HEIlzM0r1SC/pdqr7qmn3H9Oba0sOOqo3K2nkqnOk3Aq6eTwHuuL7DlSZO7fIuNfE5k8WmT+ZO+91j1FemwkMmAnFsbMR44T5rOJJNil6U7a6dNFOncumgqshJAIhBOKXOJzWEYYtymdgIm6jlO+QnX77++6cE6PHtLQsWPu1lPJVFfbBXGUveqKlPC96tquIDLkGO9BCpPjZBtPCuACl+rCdsstIqefLrLffiLPPBN2iwkhuQLfc5VLFCRUZwonfO87dRKZPDk5cTwdqQZkLdUCmPhhuPXWXrvW1eVuPZVMdeU6Tiz/XYo5TmaYLmhJAogm8N//stI4IaU4Tp2e46SDz+D7jWRa1G0KQyoBE0Udp0IXwCS5obpyhRPrOBV7qM6W4+TnOIWp5ZTOnSKEFK9w6tkz8TU+c8EFIueem3hDizpUV4pj1ZH8huqal/99hY5TIcCAiKa7pAsn/YISJlQXVjgRQkprgF+FWVlcuTphRVMQ4aRCiFhHqormQZZPx6l8qK5cx4nCqRDoFw/9wqkEkV6DJUyoLowYonAipPQG+NXZbrt4Pk82CdBBHadMHSKG6sqTagonkk9swgfTVPhO71pMx4mQ8idsqA488ojIv/4l8t572fVkCprjlKmTwFBdeVJTY3ec2KuO5M1xmjIlsZjdr796zymcCCl/wobqQI8eIsOHZ7/uVMJp7lwv4Twq4cRQXflQTccpPE6DyNSvRca/mYMjUoGOky6cdMfJlhyuf1636JnjREjlhOqiIlU5AlxTsnWc/JyJVOslxU81k8PD8ccrInf3FXlsfZFnd/amPb6pyL0DRSa8lYtDVP6Okw4KVCrSOU76vBROhFROqC4qUjlO6MiirlcM1RGdagqn4Ez9SuSFvb2q4W716sYK1n23EakfJ/LrSJ5c6fBL7laEyXHShVOqhG+z0jiTwwkp7VBdVKRL+lbXG4bqiJ9wWpJlra+y71X36ZUiy5eKtNRu7mCV/b3/kz6KaNMq2HFKJ5x04YVqwUEcJ32E8yiE0+zZItdfL/LFF8nvjRwp8uij/gMUE0KKJ1SXTjhFGarTr1Gs41TaVPuUvqgA4RQ+yPz3B173131eFXl0/fj0ToO8//P+jnDzypQwjlO6AphBQ3Xme9kKp5NOEnnySS/HCsM8qIv9hx+K7LOP9xzTMGYUIaQ0Q3WZzBf0cxRO5Smcast/rLrwjtPi2d7/rmsmTl/eeCNeYozBRorDcYpSOGGbIJrArFnewMGKa66JPz/vvHiexK67igweHO8tSAixfz/zfeNBUcsghS2jCNUFmU5Kg+rKdZzCC6cWjTfq2X8kTv/9ee9/y65RbFdlO05hksN14ZRKDJmVysMkkpt8843/snSHTF2MH3pI5JVXRH78UeT44zNfLyHlSiFznIKKmChCdWHXSYqXagqn4PTc2Pv/yqHxaW+dLPLm8V4Ir9dmkR+finOcIIbQljbhhCTvSZMKG6p74w3/Zevbq75Y334bn4ZifYSQ4slxCloagI4TCXLONKfjlMx6Z3n/676K39y/u0tkGW6eMZH1zuTJFcZxUsXlTOGk3BpTOD31lMjo0d7z3r0Tw3r5Ek5vvul/0dcdJyWcdIesdevM10tIuaJ/R2zXhFxDx4mEpZqOU3B6bymyza0i1c0990M9ampFtr1NpNcmPAHDOE56qE2BhGt1UupCBO2M0c8VN9yQaOvnSzgp4WZbdjrhpI/DRwiJ5wqmuiaUsnBijlN5Ul25wimz0q1rnySy0p4i414VWTBVpFV3kQE7i7TpFfkGliVmcvdffyU6MjjxbI4TLq5q3k03FdlvP5FXX82vcIK7ZIYa/RwntQ8UToSkZubM+HMKJ1IKVFVVbK+6cMJp6UKRt0/xQnQbXigy5JicbVhZowsPPUdJv2jahNO0afHnAwcmn6SpxFBUwkkNRKzDUB0h5e84ZZrMzeTw8iQW8+5TZjoJHSeDZi1Ffn7CKz2wzc1SlHx8qcgnxsCXcMRO0saCK+ZQXSrhVFcXf96tW7JwyofjZBNOYUJ1zHEiJLXjpI8/mS8YqiOZUF1N4RSIzquL1H0tsrhepFmRJvpiG/fXxsyL+cRiC4VfHaZSFU6646Tvm6pWPker7YWaToQQu3DCjahdu/y3DoUTyYTq6uRRKSrAcQpfx2lTuDkxkVHneqG7YqSqRqR1j/ijVZHVlkrlOKlfm7bkcJtw0k/SYhBOukhSIkoPMaYrxUBIJYfq8P1XvZXLpRwBfgTa9ol1nMozQbx5+Qun8MnhX1wrUtte5OcnRca94g21UqN1n8UXZP+3paDM+lXkzl4i1bUiPTcS2fxKkQ4r+s6+ePFi96GY03jzb2hocB+R8dVX7qNq1Cj3pVNVJU67dgnq1encWZyGBolVVUGeus/xcJk6tWneBpQhwPRmzZqmOYsXx+c1WbAgcT2WebGvjuOk3udZs5LUdsPChU3OWGzOHHe73XXMny/OwoVSpYkpvPbdxhIlULsRtlcKYjNnet/3jh19vx+5PM9izZo1fW+B07q1xIxCvU6zZhl/d93lGz/WGmxhnojhdzO3bRerrk44b9zPQYSX4LUwzPcqvHCaOCr+6wHhuimfJ3aXL8SvJR0IpZ0fFum4itfjb/S/RZ7YVOSoMSItjUTsRkaMGCHDhxt5Ua5RMk0WmRW3s6DdDTdIq8cfb3rttGwpswcNko6xmMRwgrZvL7N2202W1tUJPDJo+eVLl8r0Rqep7Z9/igqOzqypkWV1dVI9b547L1g0Z47U666URsvp06W99nrB7Nky15gXJ059fb37Zany6THR8q+/EpYD5k2fLguwLMeR7rpImjdPpv/4o3TT1zFvnkzz2cZSJUi7EbaXL8uXSw8Mmo3odtu2MtPn+5HL8wy+t+4TNLRtK9WGcJq/dKnMy/C7262mJkk4Ta+vl4YcXwv43cxt23WzCKfpc+fm/Ljmgrlz5+a4HAEEku15MYCyCE0M8epK3TtQZMxDIusPs37kwgsvlGHDhiU4Tn369JGuXbtKuyjzDVZdNeFlrE0b6bD33uJ8+604OGhrrSUdW7b03mu0zqtjMenWGJaLaQe206BBXrhOC+WholOtCuGl6SLaqrpaWhrz4osSi8Xc/fa9MFuOd5vmzaUNlrVokcS0eDd+sXYxVHzV4sVN+1MuBGo3wvYKkBjerFs33+9HLs+zmFF0swohwymJHWpad+worTL87sJxMunSs2c85SBH8LuZ27aLWUK8XXr1yvlxzQUtQgx1FF44HTdOSgoksHcZIjLbf3DZ2tpa92GCkyXSC9SAAUkXK4TkZMgQ39hxbPlybx4jV6iqe3cvd0A72PhF1zSvifFrDwLHNi++KCn3W89hUtuCMCfm13vPYVmOIzG9RhWmLVjgv40lTNp2I2wvGzNmiGgudKxTp5Tfj5ydZ4awiVl+MMZatsz8u2sRTlW45ubh+8LvZg7brjo5x6kK96QSvA6G+U6FF07t+klJgaFgZv4o0nuLQm+JSP/+ia9Tdc1P1asO1bfVL8R896prDCkkoMKZFlEl48cnvoYjhZ51QZJRCSln4BZvu23iWI6FqOFkEzbt21uu/Vm477ZEcCaHlz7VTA4Pxpw/08/Trq8UjPfOERm4u7cNC+q8HKclc0RWP1KKTjilGpMqlXDSbdBiKICplm2LEY+zOJRIJm/bNrP1E1IujByZKJrKWTjZfihROJU+1RROwbinf5oE8JjIsALW6pn3l8jLB4ssnO6VIei5scgho4vDKUNMP1PHCS4NbH3QtWviBQnHA7lHhS5HYHOcJkxInoaSBBROpJLB9/Xqq5OnF6L4pU3Y0HEimQqnZhlWmC8hsk8ONylwpzrZ7UkpWlRxOyUwwggnJZpMxwmiCa4TxEuhK4fbhJNew0l3nAipZOA0fa71SC53x8lcPq5bfoPEktKhujr5OJdgflPuhVPvLRMdp4ZlIvV/iMyb7CVi99gg2i0sN+AWKYGRSryYBTBtxS/1gmOFFE6pHCebcGIRTFLp2ERTIYWTud4ddhC57rrcheoqwJWoSOHUvPyLX2YmnA58z+5AfXm9yPvniax3VjRbVq5A9Pz+u7+o8HOcdOGkh+pUrhRESypBYtajKqRwouNEShkUsn3jDZGjjxZB79ZM+OYb+/RCherOOEPkjz+8PMzzz7cLuCgdJwqn8qCawilz4ECtf7Y3uO6nV3jJ2cSOLnpSFQkzhZPem828qKmQXyrhFLXjBLGm1pcqVGfrhUfHiZQqyDXcbDPvx8LHH4u88EJ5CKfBg0XefDP+2ih+6ULhRNI5ic0rw3GKLhg5+TORpfNFpn0X2SLLEj3MFsZx0nusmYnVqnee7WKXK+Gk/9JO5TjZoONESnlMOXW+v/hiZsvAd/q77+w9bTGUUjFgqWvHUB1JopqOUzDuXTE5TLdsgdeLDc8xqC7x57TTRO6913t+113RCCflOOGCjpwoW9JlFMIJy1efg3BSpQZSOU426DiRUiXoOZ4KhMRUsdi11hJ56CGR448X2WOP4qm4DCcBDzhsKrRmE1NBYaiuPKmmcApG/Xh7OQLV0261QyM9LmXHmmuKvPyyyN9/ixxySPDkcP2C7SeclJuDApm5EE56fpMeclS/wM2aNH5QOJFSxczx8/uhEjRMt/baIltuKfLTT1J0oAK0EngI02UzDimFU3lSbZz72YjriitHUFMr0q6/yOAjRDY4N5otK2d22SX9PKkcJzPXQC+kiXBdEOGUqgdekJsGuivjwgrRhAfKJXz0UbDlMFRHykU4IdzeI6TL/t57icKpWMFNUBdO2cBedeVJNR2nYJydOGgryRGZhOpS5Tll4zh9+KHIJZckDlKsCycs+9VX49u66aZe4qwfdJxIuQgnDIQbRDhhzEZ8N/v2FXnsMW8aBvQeOlSKFn3Q02yFEx2n8qSawikYYx72LNvBh/sPx1LIIVcqXTj5iZJshNPee4tMny7yzjvxachxUrYsxJOeKHvQQamFEx0nUqzATUdvV78yA2Yv0alTg4mmFVf0xmk85ZT4MvbbT6RDByla9NAchROxUV2Zwil8r7rXjhJ57Wj/4VjM5HGS3QmJCzkeQXrV5cJxwucgmkzWWCP+ixTC6dNP49u2/fapl0nHiRQrJ57oOUgXXxzccUrHiBGeaAK33RaffuyxUtTo1wiG6kgQ4dSyZUW0U4blCCxDrjQs93+PhEcvWw/XKWhyuJ9wyrQA5g8/2KcPGRIXThBXar1IGrcN16BDx4kUK3ff7f2/8srgwmnyZJEvv/Rfpu27hu/OFltIxQgnhurKk+rKFE7BksNRm6num+SQnc70xhtsdWVYdXkXTspxgn1ujnGXq1Dd+++LXHNN8nR8OQYMSAzVqS8Q3rMN4IsLp/rVTceJlCqmcPr5Z5HVVvOmP/mkyIEHJn/GFr5AoctseqnlA/0akWpczSBQOJUnNTX+eXFS6cLp15Eioy+Lv0bo6HVLuA4Xgrb9Ity8CsZPOEGUmBdcv1AdLuZXXSWy+up24YTj6HfxRoG+rbeO51jpYHkQSrrjpJYD4YSLLN5XpRRA587xsAaFEylGUg1ert43c5weeCAxt88mnGxdtAtVITxT4ZRtN3P2qitPquk4hbuo+F1kOFZd7oWTiV+obtgwkfvv918Hitv5jRn1+ut20aSEk34xVXlYSjhBRMHaR5Vlm3BiqI4UI8oRVeD8V99DhOJ23TVYMni5CCdV/DKKpF86TpUhnFrQcYrTR+syi/HocGPc+F/xaXjdorNIr01Euq+b+4NVaScknBuV45ROOOluTirRpH5R+gmnMWP8P6fyHWxfEjUNvYVM4WTbRkKKBdOVhcBX3639989MNAFbgcxi7k1ng8KJ2Kim4+RPn628hxJOYNNLeCLly3GCcEpViC5IcrifcPLLXfj+e//P7babv3BSyYFmgrg+BhcdJ1IKwgnfOfX9UMMLpcLv17btfC8Fx0nH7wdWUBiqK0+q6TgFgwUw8y+cEKZToTCb4xSkHIENvwRxCLWxY+ODkL79tnehP+MMr4CfKjdgC0H4CSc6TqTUhJP6Lukhq1TYKvaXi3Ci40RsVNNxCg5KD4x/TWTGWJFllovCJloYj2QvnPSePEFDdX75SUGGXfn993j5gvXW84r3gYeNnpRhHCe8VgnjDNWRUnGcwC+/ZCecbOd7qYXqsk0OZ45TeVJNxykYC2eIPL21yIwUOTAUTtEKJ70nT9DkcFvRyqCOkx6mQ70mP1LlOJnCCYIK72H7Mhknj5BCOU7oYVqJjhMGIX/8ce95tjWnTMcq29AfKQ6q6TgFY/S/4zWbdJAgnqp7O8n8hNQdJ1uOky1U9/ffGQunmF70MpVwChOqwzYq4WQW4ySkmB2noMLJr6dxqQqnG27wvreDB4tsskl2y9poo8TXFE7lQTUdp2CMe9UTR/13FBn3mvd83bNExj4k0rKLyKoH5/hIVQiZOk4qLJCFcHLH1lKstJL/58OE6jBdCS06TqQchZNfCNomnEohVNetm8g990SzrO22S3w9bVo0yyWFpaamIiuHhx9yZe5E7/8O98anDb1WZI9nRWb9ItKmd4SbV8FkmuMUgeOUkGBuW18mwkk5ToCOEymlUN1vvwVLlvbrLVqqjlPUzsQuu8RfB0klIMVPdWWG6sILJ6exGnTrHiJVjY22dIFIjw09q/rL6yLexAoljHCKOFSXIJxSDbVgC9XpdZxsOU6AwomUkuNkc5Js+UxhhFMpOE5Rc8cd8VSDE04o9NaQKKhmqC4YtR1EFk4TWTpfpLajyKIZIp9cJtKs8eZdH6DeCck8VGfLccKvX9VjLQrhpF/odVFmQseJVILjZBP6tqKWfsLJJrwqzXECKGXy1VfeoMibbVborSFRUE3HKRjtGseimz9FpNvansv0xTXxiuLqfRLdCZkux0kf+DdMjpNfrpHuOEUpnJRDhbo4+jh2hBQDpkBSjpNNON10k/2HiO28ZqguzsCBIptvzk5E5UJ1ZTpO4UN1GFaleTuRqV+JrH1K4lhleKw3LPqtrETChOp0gaNEz6RJ9vn0GLSfeFHLwLz6dpjYtiVVcrj+pWKCOCk1x2mddUReeEHkvvu8IVhs2ESWTTj5lS4gpJSorkzHyUiJD8DWN3oPxe5Pi/z4uEhVjcgq+4kMOiDaLaxUdMGixqlLdcFVjpO62KtBgW3zqQu5n3BSrlUqt8kmjoImh6sbTLrlE1LoHCd8R9Tgvzh/d9899TL08e30aSYs20LKgerKdJzCCadli0R+ftp73m97kTY9PbGEB8mdcNJ/xfpV8DVDdX75FphP9WhJ5zilSgz3E07pCmAqmCBOSkE46dPMm8JJJ3kJz+nymTg2IylXquk4paemhcgbx4g4DSInTs7DUalg9BNSFxl+heOUe4N5IYhSCSdFtsLJlqgeJMcJMFRHSiFUp3/3TOF05ZVeGF1V1wbm9w5uVdCx7ggp9TpOLSrDcQqf46SSv6uzHLuIZOY4+Qknswimn6OTTjghTy0bx0kJJzMMR8eJlKLjlEo4oaTAY4+JHH+8XTj98YfIxRcnr6dLl8g2mZCCUl2ZjlN44bTmCd7N9Yf7c7JBxCKc9Au63yjlushBfpNfqYF0wmnJEompAYKzyXEyczhsOU6ElLLjZLtZ6MJpv/1Errkmcd7ddhN5881INpeQglNdmcIpfHI46jdhaJVR54j88YpI9/XiNZwUHOQ3d8LJz3HSe7hNneq/3DTCKabnaGST42RiCieG6kipO04K/QeGLpy+/jpxvgMOEHnqqUg2lZCiFE7NKmPw5vDCCcUu1YC+E9/xHiYUTrkL1fk5Trr9r481Z6KLIUvuRSjhhJwlPPQbjt8vDnyh9BwnOk6kXISTn+Nkwl6kpNyFU8yINJQp4UN1+ijgev0m9SCFSQ7XhdPExvEEc+042RLE9ZvIs8+KrLiiyNVXe68ZqiOVEqqzXQsrJIxBKohqSwX9CiC847TTAznZEJJlcnjXrtEIp6DDrejhOn2kc/3msPfe3kNB4UQqxXGyhaIpnEi5UU3hFIzVj8zxkSAZJYcXynEy85xSdUdljhMpNcdJ/yERRDip748arsVvPkLKgerKFE6ZherAwpkiv44U+e6eSDeIWISTqlwcRahOrzyeC+GUaogW5jiRYsbMu0O4bdaszBwnfbxH23yElAPVlSmcwofqwHd3i7w3TGQZLhIxkTWPE7lvJZH68SK7PclK4lFgEyCY5idMogrV6cIpSKjOVgTTD4bqSDFjC6/NmJGZcKLjRCqB6soUTuEdpz/fEXnrJJGlCxoTIBuTIIcc51UU/+Pl6LeyErGdkH5hukx71aXLccrEcUoFhRMpNeGkhicKW46AwolUAk5ldggLL5w+v8ZrrE6DEqevtJf3f8rnEW1ahWNzllLVyOjUyR7ay3eOUyqY40RKTThhSBUFQ3WEJJLqXlPGhBdOUz7zajXs9ULi9PYDvP/zJ0W0aRWOTTilcpwwZpAunorRcWKOE8mF2Pn8c5G33sr+Ih6lcLI5TqzjRMqNJT4jVJQ54YXT0nmJQkmxpHE6Qngk/45TkDGwEP7TlxFFjhNDdaRQQJwMHiyy4YYi228vcsYZ0Qun2bPjz+k4EZIIHaeAtOzm/Z/2XeL0MY31nVr3DLokEjbHKVvhBKdQX24UjlOYX9HMcSJR8sEH3kC6ig8/LLzjlKocge64ElIOLKHjFIzeW3r/X9w/Pu3ZXUTeP9+7MfcZmpPjU3GEDdWZPev8SCecwuY4hbkZ6PNyrDqSLXrhVTORu9COk0042UoUEFLKLKFwCsaG54tU1YjMGR8fl2b8616PuurmIhucm8vDVDlEFapD7lMYxylsqC6dmNOh40SiRC8VoIRTNr18cp0crg/ETUg5sJTJ4cHouqbIbs+ItOySOEZdq67e9M6Dc3ykKoRMHCebcOrQIfF11KG6MKNhUziRXAonXMRtTk+uHacg5Qh23FFk220z3zZCipEllek4ZVYAc6U9RPrvIPL3RyILpoq06i6ywmYiNSmG28g339zulU6YP1mk8+oiW98o0nsLKWvHyRaqg3BSIYywjlMQ4dSvX/x5586p56VwIrkUTgDneqbOTqaOE76X+L42NNgdp08/9RLYCSk3dtpJ5PrrvefZds6oiCFXIJJ6bijSaxPvfzGJpp+eEnn3TJGNLhY5/GtPMD27s8icP6XiksN1xykXwmnjjUWOPFJk4ECRV15JPS9znEgQgobb/IRTptiEk74tfsIJ3ysVrrM5TgzRkXJlu+1Err1W5KyzRC6/XCqFzBynvz8Wef9ckcmfNlYOj4n03Fhkq2s8IVVovrxeZMgxImse672G24Q8rG/vENlihFRUqE4fmw6EEU6pBuzVefDBYPPRcSLpeOklkaOOEtljD5H77ovnUSoxAnGjnE2bcLJNCwIEkjlWnUmq7wOEkz4osO44md9BQsqFWEzk7LOl0gjvOE0cJfLMNiKTR3sJ4W6OU4PIpI9Fnt5a5K/3paAsXyIy9UuRfjskTsdrbGOlher0i32YcgTI20g1YG8mUDiRdPzf/3ni54EHRL7/Pj593DiRFVYQ6dtX5IUXonecli1L73SlE05+5QiCOLeEkDJ2nD64wBMnAL3rkCS+cLpIwzJv+vsXiBxSQIGCbXGWe3lXOq27i4yfYv3I4sWL3Ydizpw57v+Ghgb3URBisSRV69TUiJNqezp1Sv5MbS38QO85HtpynWXLEpbXsHChVP/9t/de+/ap15UJVVUSq66W2PLl4ixaFP3yCwTOEcdxCneulFF7VWklBhpQp2mNNdznsbvvlljj91L23FMaRo+W2IwZTed202fw+UyOw8KFaX9FNsDx9Vl2rGVLd1uchQvd8zo2b17TtjXgR0gE5wbPM7ZZPqm0860hxH6GF07TvvGci7VOEtnyapFmrbxq4aPOEfn2Tu/9YkC3+IH7a9K8zHqMGDFChg8fnjR92rRpsiidfZ8jWs6fL+ZgJpB2s+vqfD8Tcxwx5KIsisVE6ywtM+vrRQX0Fs6bJ3O05TV/6SXpNHeu97nNNpP6FOvKlG7Nm7uu1rL582VGDpZfqC9cfX29e5Gpitqli4DqceOk9rXXZNHuu0tD795F3V49tOdLXntNZu+7r/vd7fL00wkXq8UjRkgLi7u0YMIEmZfBeRWbObPpu+M0insd/OComzUr+brSSOfmzcX1gxculLq6Ouk8e7b72mnWTOr0nnllfJ4VI2wztl1Q5jbe+3IjnGo7iCyoE9n8Ck80AfxH7hCEU4uOUlDggMWqReYb7hK2Ga6ThQsvvFCGDRuW4Dj16dNHunbtKu3atZOCYBnKpLZ1a+nWrbFyu42uXcWBMNG6iLbQl1NVJZ20cF7L5s2lhb485JeodR17bOp1ZQh+mePmUrNsWU6WX6iLcywWc8+XYryhxdZaS2J1ddL2xRfF+eKL4m0vxxEHrmTjL7/a0aOlG/L2xoyRKr1COM7rCRMk1vijxmnTxnV4QOtFi6RVJucVQnUKfGdmzkx8v0UL6dbdfv0AscYEcHz3unXuLDHlYKf7zpbReVaMsM3YdkFpETSnNyPhtMr+It/cJjLvb5Fa7aaM12DQwVJQUISz+3oiE94UWXnv+HS8XmlP60dqa2vdhwkuTgW7QOmFKxuJIeyWbntwo5nUONByLCYxLaEcv5VjWp4UblBNy5s7V5zGXnFOz55Shd4Sudj3xpMTN720+1JC4IZW0PMlFY0OTOzrr4umza3tBWdGs8tj06dLbOxYkZEjkz//88/x54MGiXz5pfcc4btM9lEr5BfDjyVDOMVatEi9XK0IZhV+uDQmh8cg6iJs86I+z4oUthnbLghhvlPhv31Isoar8/xeIt/dKzL+Te//8/uItO0t0m87L0FcPQrBesNEvr9X5Pv7RWb8KPLuWSJz/xRZ60Qp6+Rws2edXtE4XXL45MkSUzePoUPt5RCiQKn6AoVAKw7dSSl2bCG2MWNE/ve/5GKTeqFWCKdsk8P1UgS2gavT/Ro1q4er5HAmhhNSdoR3nJ7bw7sBIwn7rROS3x+5q/YiJjKsABfuVQ8UWTRDZPRljQUw1xDZ5xWRdlqxxnIVTnrPujDCSa8AG2bg3rAoZ49j1eWHbCppF4Nw+vprkR9+8J5v0ljq5JNPEufp08cTNhDjmZYjyJVwYikCQsqOmpwWqLPnUeaHtU/2HqVKJnWcbI6TfqyCCqcw48+FhY5TfgmR8Fh0g/aCRx+NP0ei+KhRyfOgrhPO+7/+8necnn1W5O23vXIH662X/L7ugGYrnBByVN8tCidCyo7wwmn1I3OyISSCyuGm44SLfWN3bmsIrpDCCWFBrD9XIUFSHo7T5Mnx5/vs44XuTCCaIJ6UcMKPBb33G8TjIYd4rtLtt4vcdJPI6acnLkMv/NqpU3bCSReADNURUnaEF047PZCTDSE5ynE66SSR117zbih33pm43EIKJ4AbWS7DgqS0HKdUZQRQ+HLAAHuRV4gmVU1cDfSrD3MC8aWH4s45R+SIIxKHI9KFU8eO4YWTfh5TOBFS1rBrRrmH6vCZV18V+fxzkV69isdxykWCeIUUaquoUJ1CCSHbsEIQU3pITBdBwKyjBHH1/PO5c5xQ78k2nRBSwTlOGCz3pydF5owXWWbc/GCR73hfNFtXyUSRHG672AcQTm4tKMkRZhJtFCA0g1DM66+LPP64N2K3zsSJIkcf7TkJyJmxlJ6oGOFkhrFKxXFSIS+bcFp55cTzyhRO9fXJn3nmGW9waoU+tlwmjpO+fn19lXSuEVIhhBdOE94SeW73+LArNiicsseW+5OJ45RquYVwnPSQhnmDy5RvvhF58knv+W67JXbBhwu1+upxAXHCCd6I3pWa44S2CSLAi004qfPGFE5whzBNP69MQW4TTm+84TlRKlynn4uo44Q6avp5FDY5PB/fJUJIiYTqMFbdssWNg/taHqR46ziVq3D69Vf/gYvvvTfRdbHdRCvJcdIKPZak42TmOKkaTqmcTP2Yq+8V2kFPNNfPRZyjplOULsnbTzjRcSKk7AjvOM38qXGsupNFBu4uUk0ruqiEExJokQ+CG6ZeGLBYhFMuQnV6zyuTp58u3YKQlSacVI4TznNzO/0cJ3WOpxLkupBZcUWR335LzrEzhRMcpnThOx06ToRUDOGFU5veIrN/9cama64lZJLiSA6HaMLQKaNHixx7bGbCKZehnFw4TqmEk+kwFbNwqGThhF5vSjj175/oIqbKcQrrOPXoEUw4mU5RpsKJjhMhZUf4UN2G53shuU+vSE4MJ4V3nMDmm3tdrvXu1sXiOOVCOP3dOE4i0Luh29ZRrMKh0oUTBvFVof4hQ/zPG7M4pU04pUoO1wfq1QWW7i4px0nH9l2ybZ+5PuY4EVJ2hHec1jhaZPzrIp9fLfLlDSKtuolU6YuJiRz7e6QbWZFkmhweRpDpYSv9hlpqobo//0x0FHTMdaQTDqgujQFeUaW6HAZStSWHFyPKBQJI5sfAvnrOpHKczB6BtlBdKsdJF05+jhPWZTpF6YQTHSdCKobwwmnMQyI/P+1dwNCzbt7fpdHVuZIcp1Tg+GDZ6G1WLo7T+PH+2x7GcUKysOpxh4FlUam61CkVx0kPzaG8AM4T0wWyMXBgekGuh850YZ0uxynTUB3LERBS1oT/SY0QHVC/BtmjrrSEk+5mlYNwghDAUBsKc/DgMMLpuuviz486SsqCUhROK62U3CNU79V2331eyO7CC+POUKrzysxxUoTJccrUcWKojpCyI7zjNPcvz7XY8mqRAbuKNGNl3KJKDg8CatSoseIK3asOSey4ER5/vMgGGwRbBkoMfPutyL/+5bkSesVwfT8g6jPNcSpWgVGuwkkP1ZkFLU1hhIF6IWz170iQ5HCc97pzpM8XpeOkL4vJ4YSUHeGFU9e1RKZ8JrLm8SLNjURcUh6OUz571aF68y+/eGIoSB2wTz8VOe64+HbusUfi+7rjZIpDNc0Pv3H8yinHqdgdJzg7GHfODM2ZdZTM70eq5HDlAMGl0ufTHSczLJiN46RDx4mQsiN8qG7o9SLVLUQ+/IfI0ohyVEiw5PByDNVBNNl6x/lxzTXx5zfc4A2noqPvhy0UmEo46CKjXMa9KwXHCQJGJfjDbYKjncpxshEkORzix084qXMFggnfj2wcJx06ToSUHeEdp1cOFamqFvnmVpHv7hRp1Z296kotVFdI4aTfYPRf+eCjj0QOOMD/s7gBYsBiHVNs6Y5TWOE0ZUr8OdqmHDo7lIJw0ksRIL8JpMpxsuEXqsNylXCC4+Q3yLQ6V5QAMwWPPoiwDT9hR8eJkLIjvONUP15kaeMNb/lSr1fdnAneA+9h4F8SwZGpgOTw6dOThVMq0EXdFEPvvJP4Wt8PW7mDoMIJzJkjJY8pnIqxHIGe3I/K9zYhEsZx0s8RPFfnuSmcbDlOajmm45SuNAUdJ0IqhswK1ejj0rFXXW4oV8dJv8FNnZr43ocfpv7shAnJ0958M1kYqDBbNo4TmDRJShoc37B1rHINrhf/+Y+0ueKK+LbpvdAwaG+UjpO+7Gwcp3TgR00uv7OEkBIO1Z1dJrkfxU655jjpNzhzUNdvvvHyjPzCIkEdIOwLbpBhhBNutubwLAgDrraalE1ieDEIp0cekaqLLxYc4YY11/QS/WfNSs4lyibHST/u+jFNleOkwsaZCieVl2WGn5njREjZUQalkcuUSgjVmY4TnKJUCeKmsPFD5TnZhJNfqMrclnJwnMwwXTEIp6uvbnoaQxkKoAsn1XstbKjOz3HSzxk/xwnnhDr/1Xr0dgoqfmzhOjpOhJQd4R0n0LBM5Lt7RMa/JrJwhsjBH4qMfVTEaRAZsLNIq66Rb2jFUQmhOtNxSpeDoztOuJmZxS7NfQnjOJlhuqC9/IqZYhROY8fGnys3Tw+n+TlOmYbqUgknNZ8+v1qP7kaZ+U5BtkFBx4mQsiO8cEJC+P92EPnr/cReRz8+JjLhDa9cwbpnRL+llUa5Ok64keCc8avZFFQ49e8v8vPP4R2nMMIJNaOKBWw3xtDTx1pLhxk2UsspJPpxV/sSRahOP6/04z5jRqKbZXOczOKXppjyS/w2sW0jHSdCyo7wobovrxeZOCr5xjfkGG/aOKO7OMnwyJSpcLLV6NFJVXhSF079+vnPp/YlTK+6yZOTpz3/vMgxx0jBwTYPGSKywgoiL74Y/HM2R66QwslsY7V9UYTq9PNKP+565wHUiMqlcKLjREhFEF44wVnCRWrd0xOnr7CF93+WVtCQRJscXg6hunQ3wSCOE8Ip3br5zxeV4wQeeKDwLs3LL3vuGo6XWSk9FfoxLYZyBF99ZT9OQUJ1tu+D33mljjuEEUpYgHbtRLbf3rt2qfCZEk62wYSjEk50nAgpO8ILp9mNY0ptelni9Jadvf/zfW5AJBzlOuRKFMIJN0HVbT2qHCe9ptQ996Qe7y7fBE2KL3bHyU84KccJoqZt22AOkw3TcXr99fg5s9deccGkXCc1n81x6tIlubZU0PXrMMeJkLIjvHCKNX4E1cN1ZjUKqqrM8s1JcSSHOxBNua6WneoXfBTCKRPHSU8G3mQT70arKLRwynTcvGITTr//ntpxQphOnfdBXR4d9Rl1vB5/PP7egQfGnyvhZAvVqeTwq67yRBxe33pruPXrUDgRUnaEVzkdBopM/0FkzMPxafOnirzbmBDecZUIN6+CKZDj5AqnXJOJ44RSBbl0nHSRgZudX12gQlAuwklP1NaFi3Kc9PHgMhFOepgNy3zuubh7tN12yctOlePUt69X0Vx3wYKuX4ehOkLKjvDCaaV9RKZ9L/LOqXFn4q4VcMv1Xq+8T/RbWYnYhFNNTe5Ddfm40GcinJCHojok5MJxKmbhlKnYseU4FVI4oVeg2eY4prrjpMgmVIf9fuyx+P4fdljieZ3KcdLXi/MsDKbAwnc4qu8sIaTEQnVwl5TDtME5Ip1XS+xVh/pNeN15dZF1z8rRplYYZjJslCE0fdlqeJJ8Ok7petWhftKIESKXXy7y9dfJPepy4TjpoTpTONm69eeTTNcfteP0v/+JnHWWvQei4qefvPEDbeUmTMcJ24fq5krA645TJoJDP2Z33x1/ftRRifOZOU625PBMMIUT3SZCypJgV6fXjvJym1Y/QqRZa5GDPhT56F8ivz0nsmCqSOvuIivvLbLpcJFmGVjsJL3jFKWg0YUTblpYlxIbxRCqO/NMkf/+13sN8TRxYjjhpARDmHIEusjAjVUvuFhox8lWyDLfwgmV1ffbz3v+22/2sgjo+bfeel57PfSQyBFHpBZOOOdsNZyAX52voIL8+++9/yutJLLWWvb5sH78cPBznLIVTsxvIqQsCfGzTruQtegosu0t3oPkBrNa8dZb5044QSwpx6l5c4kVWjjp1aVxo8cNWb8JoQK0KZzQXso1Krccp6Bj9OWyHAGcJMVLL9nn2XffeFs99VSicIJAMUN1OF56KQI9VJetcFIMHJj6u4XjbksOzwRzjEU6ToSUJRyrrlhBQuuRR3r/L75Y5JlnciecQD4dp3S96kxxg2mm46S7E2b38WxznHDDKybhVAyOky3nTufXX0XGjPEXETh+Kiysb1+UjpNNkPfpkzzNLIIJB03RNYvhoug4EVIRhEsk+OuDROfJj95bZr5FJM6DDyYOa5MH4QTHSQrtOJlOCabp4gHCSXcnlHBCLyg/x0k5UumEE/Yf7V3MjlPQcyJK4ZSuDVRoVWFun+k22YSTfky33Tb+fPjwzAV5OuGEcK4aWsct7LuuZAxznAipCMIJp6eHBpgpJjKsgNWJy41c1FRKJZwKneOE7bE5TnoRSAgnM3lYdwpMxwluCRyQIMJJhQQzFU6ffOLlZaEn1yGHSE4cJxwrtZ1oG6xznXWSXZ4ohVO6cKEpjMyEdjO/SW2frWq4eo6CmchVOuCAaB0nXWBhu7/7zns+eHD4nnQ6dJwIqQjCherwSzfdI4gjRQqLKZzwUGGUYgjV2RwnM1Rnogsn03HCDVXtV66F0xZbiLz6qsihhyaHpjLFFC26KDn5ZJEttxTZfffw5QggSiAWMA7eRRel3k9TvJm1pczPmsLJ5jhByPqF6gDEIPKkzHy/KB2njz+O78vGG0tWMMeJkIognOPULsXAqqR0hZN2gy2KUF2QHCeTzo1D/th61eVTOOmCAi6ZKQYywRQtECUqOV4ND/Pee16ZgJ49gztO6Pn244/e8x9+EFlxRZFjjw0m3uAU6W2eTjgFcZzM8GtYMhFOo0bFn2+0UXbrp+NESEUQTjgdNy5nG0KKQzjlxXEaNCic44SbfTrhpPe6szlOap9zLZxMsZAL4eS3PR99FC8ZEEQ4mWIIZR+CbgP2TRdOplBCfaYgOU5m7lo2dO8eXji9/37uhBN71RFSlrBXXSVSaMdpt938BVoYx0kPjfTu7Z/jBCciX45TOpclylCd2fPsww8TX9uEk16OQC/66Vf3ym8bTCGUqeOkCywz1BWWHXZIfA1XzuZu6s6U6lAAVl01u/XTcSKkIqBwqkQK7TghsfvCC+3vQdiYtYZM4YQ6TuCtt0RWWUXkxBO9fBgF9geiQnecVDJ5UOEURQHMKIQT9sPPcTJdHThOYXKcTOFkvk4lnMx9M4VSCuHkNHZ4iJlOYrbCCePLrbmmf/V9hS1nCud9tj8a6DgRUhEEE07t+jK/qZwotOMELrhAZNNNPYFy0kmpXQ9TOKkbFEIrKI55xx2JoTqIICxH5RthHakcJ4gT1QbF5jhBzJhCUokSPbEaYHgaXUylC9WFEU6meAvrOOnz9+plb6NshZMZbps2LbhwyqZiuN/2s3I4IRUsnI4bL3LsHznfGFIhjpMKl8Ahwc1fD7H4CSd9uq26sy74sD/jxyc6EWq/sCwzxGVWDY9KOE2fLjkpfuknnHAs9SKUYYVTmFCdKQrNNsKy9F6F+vy6cNIFVTZVuxV6cvu55wYXTlGs2yyRQeFESFnCobsrEVM4aY5GXuo46WB9+g3HJlLMhHHbNpqO0zitI0P//omvsTx9GeY4dcXkONmEk9oeUziBQjlOtoGIsZ3KhVHzI0zXrVtyG2F6qjIVQdlwQ5E77/RqQA0bZp/Htp4oHCcTJocTUpZQOFW6cDJESd5CdTq6cPJznNQ2YtttuSupHKcBAxITpyEe/ISTEmD6zTWocDJrG0UhnGyFJ5VI0bvy29ovXY6TKayidJzUdirhpOZHyQG9bdV0OD7phnUJygknpH4/V6E6EzpOhJQlTA6vRIohVKcTxnHyE3apHCcIJ32/zJwhm3DCNql1BRVOphAphOOki59C5jiZvf8mTfKeo86UfqyUQxZFflNQchWqM6HjREhZQuFUiRRDcrjf9qRznPy2z3ScUgknM0HcJpx0F8IWhsqXcErlOAUVTn6iMapedRBGtjbSt1Nt1wor2J2YQgunqBwn3TXLxXBJhJCCQ+FUiegOT7E5TjbhBKGTqeMEUYYaT9kIp0wdp1wlh4d1nCAUbAVAwySH2wpgKnBsbMPLKOH099/xaTgWNuGST+Fklg2IUjiZAp4QUnZQOFUiusODUInuOJk9g4otxyms44TK0Vh+PoSTKURyFaoL6jjpbWYrxxDUccJnzPf0UJ1f+6jt1ItMQjgV2nGyVSiPKlRnq2BPCCkryi85/J7+InMmJE7b4HyRLf9TqC0qbuG07bYim28ef13o5PAocpzq6uKJ0wjTgUI4ToVODteLeqL9IH4yEU428YZx+MztCSqc9DBqLnOM/KDjRAjJgvITTmDTy0TWPC7+ulkef82WAmavNK3HWd7LEUQlnLBPyC9ByAhFMRXZCCd1M4egwHLT9foyhRM+h/3JJgxkc5XChuqwT0oUZdKrzibe9OWEcZxWWEGcSZMkVmyOUy5CdbbkfEJIyVOeobrmbUVa94g/mlM4JeA3FIXbdkVejiDV9inRoydAo/hlto6T33aZ2G6U2bpONlcJguTXX0U+/ji4cDJDdUjotgm9oI6THobShZN+LIs1xymXoTrmOBFS9pSn4/T5VSKjLxdp20dklf1FNjhXpNr/hrt48WL3oZjT+Au7oaHBfZQbsaqq5F/8jTQ0a5b/fY7FmhS8s3Bh0rY5jcnhscZef47P9sWaN5eYIXAaunRx3aJYTU3TchtwrPVlLFzYtP4G3Pga34u1bBn/DHLBfAo0or0cx5EGbTlN72HYD/Qky5DYzJnJ7TF6tMhqq0nMrBuF9xYsaGqfmNZmEE7u86VLvfcXLUraVmfRInvbzp6d/AtryRJpwPrRc2zu3Pjx69pVYpMne/sOwYW2nzgx3o69elldTad1a9/jGjloCzw0Ad2AYxvB+mO1tU376tueGdJ0npXhNSlXsM3YdkEJ870qP+G07hki3dYVadFRZPJnIh9eKFI/TmTHe30/MmLECBk+fHjS9GnTpsmiVF20S5Q2ixaJ3+/7BUuWyIK6OqmKqhhhAKrr66Vr4/OG+fPF9MMW1tdLq0YXaWksJjORw2Sha7NmSZ+dU1Uli+rqpO2yZaI8hVl1dbJUW0bttGnSsfH5vKVL3f0H7aurRUml6X/+KQ3mUC1qmxsapL6+XppNnSpdjPdm//67LNGHGLFQ8/PP0uyzz2TRXnuJY+TfdKyrEzOVOuaz/2DhrFkyB+87jnRv/DGwtKpKqmIx98vesGSJTKurk1h9vXQ3l7twoUydOjWpG33ziROlk2VddajN1KyZNJ80qen9ZZ06SbNG4TR/6lSZX1cnnSdMEEglp7ZW6pYtkxZLlkgHY1nzq6pkXor9ippubdpITAt1zmtoaDru2dBunXWk1U8/uc8XrLyyzI1wn9R5BvGUz+9nKcM2Y9sFZa7NWS9p4fTxpSKfJAubBA79XKTH+iLrnRWf1nVNT0C9uJ/IlleJtOxs/eiFF14ow7ThGeA49enTR7p27SrtbLZ+qZNin1q2by9tu3XL74VZGyakyiJUdZ+nWevW0k0fskMjZgkBtevXT9p16yYxbZ87IiykL0MLr7Tp3FnaNL4X66jklEgXhO181ouLcywWk44WR6oDtumvvyR27rni7LabyFna+QngCm2/vet+tPv5Z3Huvjtxn7QwGHo8xszinQbYghbYzqVLJdYo9JphfxvDZlXLl3vt5/Prqhsqe5u93nzOBXdehLi09qvp0aNpvLw2sZi0RttDjIHevaVb9+7iwAU0aNWtm/vIFzFsuyaccMzVcc+KW24R57ff3HB4yyuvlJYRXj/UeYbrEoUT2yzXVNr51sKWQlDSwmntU0UGHZR6nvb97dN7buz9n/2br3Cqra11HyY4WcryhElRcgAhjLzvt3bjNUNt5jQ3HOe3bZb8p6rOnb0bv/YexEOCGNBCNlUQP+o9Le/FFXQp2gQXGITGktaPZW+xhRsai733nsjRR4t00vybiROb1h+77z53OTJwoMj553vOj8pxatvWPTZJFbvN7cB6sJ3aPqHNVI4TBJr7vk9X+Sq4VKYA/MM+wHcVRByWpR8fTXxA9LnCr3EfYr17u+t2w2LmsiDu8nnOGYImsvXjfPvsM/dpLspf4vwo2+tSjmCbse2CEOY7VRrCqVUX75EJdV97/1v3jHSTyjU5vOB1nGxOiJ58nCo53JaDpERKtsnhQUoS2JLDIbh0Fw3Ojy6czC/rvY0h5VVWEdlnn7grAodk8GCR119PXseuu4q8/LL3XIkYXRjZksP9QtDmdLiBN9zgPYeQW2klLzFdX4feNrprg31VbpMabkVtTyGTw20lCXIxVh0hpCwpr58tkz4R+fIGkbpvvLymn58WeesEkYF7iLRr7F1FUveqK0Q5glTbY9YJSiWcuqpMKQ0VbstWOAUZdsUmnMxpZkK3X5HEa6/1/ivHCftxzTWJ8+y4o8juu4tcdll8mhJO5j6Zwsmvq7wpnO68M14B/aCDRNZaK3nbdeGkHwO0me4gKgevGISTGULLZx0pQkhJU17CqbpW5OenRJ4eKvLgYJGP/iUy5DiRXZ8o9JYVF8XsONkI6jghv8YETk2mwkmPeQepyWObxww9Bi0B8Mkn3mfV/BBOQ4aIXH6597p/f5H//lfkhRdE1lknntCdTjjB0WvsVWfF3F695MEFF9i72+ui0hROtrYtRuFEx4kQUlahuqB0X1fkkNGF3oriJ5XDU07CCTdHtexMhJM5/p2NL7+U2P77S3uImq23Tn5/ypTUDlOqXpsffZQsAP/xDxEkmaMekhIbEE0QeRA9NuGkD7niN4SK3/boQgrD19iEU6pQXbEKJ4bqCCEZUl7CiVS249Td6GCv9YrLWjj5CY2DDpLYuHHSctw4cWzdWScYw/8ErdYNnnzSvi9rr23P79KFk5njpLcxkrozEU5YRzrhpPeYM4WT+myhC2AChuoIIRlSXqE6Upo5TrlynKIUTn6OE7qeK779Nr1wCuM4NdYDSnCc0iXGpwvVpXOcTCGnz4flpAvVQQCpbcFxMwWc/r+YhBNDdYSQgFA4VSLl6jiZwknvvZaHHCdU+Y5UODUWkkwSgWGFU7pQnb5sP8cJbYGQYDrHCUnWqg2xDUFDdflOzjZDdUwOJ4QEhMKpEim2HKd09TOKIVSX6YCt2YTqUJk7qOOkRB7EGxLHn3kmuOOkL9vcHvVaCbN0jhOcGzUP3i/WHCc6ToSQDKFwqkSKLVQHJyPVNulCJ9NQnS4Io8xx0l0tG+YwLWEcJz9XKF0NK4i1m25KLZz0fdaFk7k96rUSZukcpyDCqRhznHzGISSEEBMKp0qk2EJ1IOh6w9RxytZxChKqSydoTIKWIzAJmuNkA/ukH3PUkgobqkvlOKUK1elCUX3W3FYI3lTHNR/CKV0tMUIIaYTCqRIptlBdmPWmusGaywia46SLBV0sBQnVhRVOpuOUKlQXZj2phBPaLJVwyjZUp4QTQq5o53SOU4cOsnjLLb3nG2/s1aPKN2aOEyGEBITlCCqRUnacwoQSdUGQq3IEYZ2SMKG6fDlO2YbqdHGlJ5D7CScRmfXYY9KteXOpyuPAvgmU4+DdhJC8QMepEim2HKcwoZIwQkVPOs9VcrjfkClRh+qycZwyFU5oJzVEjM1xUu1oulLpetUpoazXfMo3FE6EkAyhcKpEUjlOhcr1iCJUl0rUBBVO+vKD5DiFFU6ZhurS3ehzEaqzhTDTOU7mPBgkWN+OYoGhOkJIhlA4VSLF6DhFJZwuvTT+HEOT2PYLlbN1lCjCPLpLFSRUl61wCuo4paszlIvkcLNqeLocJ1VE0k842coQFAoKJ0JIhjDHqRIp5RyndMLp3HM9d2bQIK+eURjHybyxF0uoDoIkXa2rMMIJwjFIOYKgwskvVAf0YWiKSTjhfLv/fpHHHxe57LJCbw0hpISgcCLF6zhhW0yRk044QWScdVbydNsNX1Ffb3d1MhVOEDn4rC0Ml4njFKSqdSrh1L597kJ1WJbaJ5u4mjOnOIUTOPpo70EIISFgqK4SSXWzLibHySYGMs2TsSU1K6Hw99/e8wEDEj8TJMfJNh0CwU8khKkcHpVwgjDKVahOn982j+44FVOOEyGEZAiFUyXic7N2E8PRnbwQ2MKHtoFXoxBOuuvzxx/x5wMHJn4m0xwnfM5WHTtTxylIVe1UwgnCKJVwgiOVznHyE042cVUKoTpCCMkQCqdKRK/0XAxhOj/HKR/C6fff/YUTtknlFoUJ1UE0+YmEXIXqUokSOE56+wYtR6CLIr9QXTpXisKJEFJmUDhVIn4JzYUK0/mt2yYGohJOSJC+4QaRM87wF066YAgjnAoRqks1CDGS5YOG6vQBe4OE6iicCCEVBoVTJXLwwfZQUjE5TrhB27YnKuH0+usiw4aJjB+fWjgpAWRzhiBAVIFIHYQ78x2q05OwbYnhfsIJ7Q5hpsJ1f/1l37YwjpNfqI45ToSQMoDCqRLBGG7ffiuyww7FK5ywLTYXKkrhZLLSSsnT9CrYJmaPP8WECcEdJ5twMotdBnGczNpUZhjOFE5mCQZVumHixLgYjMJxKuZedYQQkgEUTpXKKquI7Lxz8QgnMzk8146T2YMO2MZNSyWc/EKejhPccbKF6syhSII4TieeaG8vFYYzhZMSfapd+vWLC7BJk4IlhyOsN3Nm6nn0/aVwIoSUARROlYx5oy2mHKdcO042h8bWo1AJIJszlKr4ZTbJ4aZwCuI49eolMnasyJVXBnOc1P6r6XqxUDhmQZLDUTxy111Th+p0GKojhJQBFE6VjE2sFFOOU5TCCQJB9ZCDeDEFzBZb2D8X0HFa1rdv4nt+jlOQUF0mwkmFGrfbLphwUuE41cbKcQIq7ytdGM4k1TyYVqhSF4QQEiEUTpWMKZSKSThF7TipZfoJp//8J71wQghOR1vG0rXWEmfwYO/FP/8Z3HGyheq6dg0fqvOb1y9UF8RxSheqCyucCCGkDKBwqmRMYVJMobqoHSf9s6ZwevddkU03tX9GOUcQTWZ4T19GixbijBol8sEH3kDDQXKcGhrs4b5MHSebcMrEcQoaqvOru2UTjcxvIoSUCRROlUylOU5+winVMlNVD9eW4WB70Vtx883jY9WlC9X51V7q3Dk64ZSJ45SLUB2FEyGkTKBwqmSKKcfJ1quu2ISTKXS01465jCCOk1/xS7McQZhQnSmygjpOEH3qs7ZQXRDHicKJEFIBUDhVMqXoOGWzjVELJ30Z5naZDosSP/oyzPHittxS5MEHk8edC+M4mfsStFcdErdVuA7CCWFEm+OkJ9mbpOpVxxwnQkiZQOFUyZRajpM+dly+hJPuHKUK1aVznJRw0terL2+XXUSQI3XkkcnCKYzjZOIXqlOOkz69e/e4uINosiWHp2ovOk6EkAqAwqmSKfY6Tub2ZetaFNJx0tetsIXCQDaOk0k6x0lvd31QZQgnW3I4oHAihFQwFE6VTDHlOAVxnIpYOLnJ4akcJ7UOfRm2UJj5PFvhFMZx0tdrCqcwjhN71RFCyhgKp0qmmBynIMnhUQknDDeiC5gIetUlLcMUD+p1Jo5TNqE6lWieLjncXO+CBdGG6pjjRAgpEyicKplidpzQyytXwkkJgyDL1QXN0KFezacgOU7ZhOpMtyqs46Sv2+Y46dsQxHFCXpl+LBiqI4RUMBROlUwx96pDEchcCqd584ItVxchEBzbbpv42k84mVXGdcdJveeXQ5St44Qk8622Ern11vhn/YSTn+OkJ4djuj5cCkN1hJAKpoCxGVJwitlxwrAjkycXl3AyBVGq5HCzyri+DoQK8dovFGYKp7D7vdFGIu+9lzhNF056mDKI42RujxlWNT/PApiEkDKGjlMlU0w5ToVynOCk+AmBVIUs0yWHQxz5rfvmm0X69BG5/vpgwikKMnGclHAy28A2MLEuMpnjRAgpY+g4VTLF7jj9+mvuhROm6WGoMEOFpEoONx0nfTnnnuv9/+uvxAKY+RJOQRwn5ICpNjK3x084qXZkrzpCSBlDx6mSKaYcJ9P1sTlO2QoKP+GUioDCKclxMnOc0q1HF06pXK58OU6vvioyZ473fKWVggknBUN1hJAyhsKpkinmyuFwnGzTskG/oSvXJRPhpERRqpIGxxwT/+wTT6Qf5FYfny7XwimI4/TAA/HnRx2VuCy/MfYUFE6EkDKGwqmSKSbHyZbjZG5Pt27ZrSOT3BubiFFhuFSOE0Ted9+JvP22yAEHpF+PLpzQ/f/ww73Ql54HlU/HSd+PvfYK5zgxVEcIKWOY41TJFHOOE0JX5rRCCCebCIBwQFulqz6+yireI8h6dOEEHn7YSyJXQ6bkw3HSh1xR7Ltv+NwyJocTQsoYOk6VTDE7TnBbikE42QYVVqGqVI6TSbpQnZ7jpIhKNGXjOPXoEX5dtpBvuv0nhJASgcKpkjFucE4xDbkCikE4TZ2aPE2FqsIIp3TradtWckrYHCc/JywIEL1+Q84QQkiJQ+FUyRST42TLm4laONn2L52g2WabQI5T2uWkK7KZa2GRqeMURDhBKN1xR+K0dEPQEEJIiULhVMkUU47TrFnF6TgNGCDyzDPpHadsyhrYwnSl4jg9+qjnyp14YuJ0sz04yC8hpEygcKpkzPBYIUN1s2cn32SLQTiB/fYTOf30lMIpK8cpk3BYvhwnWwjx5Ze95Q0cKLL//vYyEaZQzEWJBUIIKQDsVVfJmBWzi8Vx6tjRLpzU9EzJpreXORzJa6959ZmiSA7Pt3DK1nHaZReRv/8W6dTJ/5wx27V///DbTAghRUhpOU6jrxB5fFORm1qJ3OrT42jOnyIjdxe5qbXIbV1E3jldZLn2C5v4U0jHaejQ+PNDD7Vvj62HW76Ek+6YTJkisvPOCW9nJZzyHaqLIsepe/fUQtts10GDgm8rIYQUMaXlOEEADdpfpNcmIj/cl/x+w3KRkbuKtOwqctCHIotmiLx2pFfpedtbCrHFpUUhhRMqbX/5peeGXH55brYnKsdpzJjwy0kljgoZqstFrzpTKMIpzLbqOyGEFAmlJZw2G+79/+FB+/sT3hCZMVbk+IkibXp507a6TuS1o0Q2v0KkNg83qFKmkKE6CI977w03tEcm6wgyLZ3jZA7gG8RxSlWTqZChOl2cQuwgfKuPs5dpmQRdnK26auqBlAkhpIQorVBdOiZ9ItJljbhoAv13FFm+WGTql4XcstKgkMLJxsyZxek4qcFvwywnlXAqll51EDem65SpcBo/Pv585ZUzWwYhhBQhpeU4pWP+FJFW3ROntegoUt3ce8+HxYsXuw/FnMYbY0NDg/uoFOWMApiO4xTNPsdmzBDdp8h6u2pqkn4pwClygiy3efOmzzr19Qnb5U6rqkq9fe3b+/5Kcdq2DbYN2RCLxbd/8eKm7XeqqxPWHWvZUmILFnjvtWrl7pdksG1V2vepYcUVE5aBdiqm86xUYLuxzXi+5Y4w16PCC6ePLxX5pDEE58ehn4v0WD/gAi0hAYQeUoQKRowYIcOHJ2/DtGnTZFG6AU1LHH1Ajdnz58vs2bPdm1pVtonYEVC9xx7S9Yor3Of111wjC+vqslpe7cKFYvbLW7h8ucwJsNwWS5aI8owWT58uZuf6dO1WtWyZ+BVTmFdVJfOz3Ld0VM2aFV+/JmrmLVqUsO6utbWiPKiGNm1kWobbpZ9Xczp1kkXacnCBqq+vL5rzrFRgu7HNeL7ljrlz55aQcFr7VJFBB6Wep33Arsyte4hM+TRx2qJZIg1Lk50ojQsvvFCGDRuW4Dj16dNHunbtKu3ykX9SJHTo0kWWdOjg7ndR3NC6dZOGd94RmTRJ2u6/v7TNNlnckqDcsn17aRGkPhR6kTVSq4e6GumQrt1sideNtO7ZU1pnW6MqHXrekpZ/1Lp9+4R1x1q3bnpe1b69dItgu9ptsIG005YDARCLxYrnPCsR2G5sM55vuaNFiFpzhRdOrbp4jyhAb7tPrxCZN1mkTU9v2vg3RKprRbqv5/ux2tpa92GCi3olXdhjzZu7N7Si2u+tt45uWZYvRqy2VmJB9rVVq/hnLDlOadsNAtwn7FWFXme5bm8tfy2mbUMVxKi+bk3gxdq1C9Y2Nh5+WOSoo0Q220yqNtwwaf+K7jwrEdhubDOeb7khzLWotK5aqNFU943I3D+90gN4jseSed77/XYQ6TxY5NXDRaZ+LTLhbZFR54gMOY496oq9HEE+iCo53LB0HXO4ERsIFfsliOejqrZtEGXbMY+iRx04/HARhOdGjcq9KCSEkDxSWnfKj/8lMuah+OtH1vH+H/CuSJ+hIlXVInu/LPL2ySJPbiZS01Jk1UNEtrq2YJtcUhRbr7qoiaocge44nX22OFddhYS49MuAcIq6p2C2wsmcvnRpdOPLde6c3ecJIaQIKS3htNOD3iMV7fqK7P1SvraovKBwCl+OoG/f4DWK/IaMyccAuEEdJ71GVbmfD4QQkgH00Il2NpT56RCV46QX5gwjemyhuj59RHbYQYrScaJwIoSQEnecCCkG4aQTRlyYwunHH0V69y4ux0kXTuWe80YIIRnAKyOpHKJKDs/k8zbhhKFI8gUdJ0IIiYQyj80QUsSOUzGEYZnjRAghoaBwIpWDTeRkK5zCOE5+yeGFdJ3MaXpyOEN1hBCSBIVTpaN3Ge+hD5RRhmTjOMGxsc0bxnHKx2C+YYWTKY6QrG6plk4IIcSDwqnSwZAm224rcs01XqJyOZONcPLLcwrzeUt1+qJznFDxG9uJ4WnOOy9vm0YIIaUCk8MrnTXXFHnrLe95uY9WD5GAmkt6dewwwgfhuvr6zB2nfPSey9ZxWm89d2xAVySmGF+PEEIqFQonUjlANEG86IP0hhVOJmE+X+i6SEEcJ9CpU142hxBCShGG6khlYQqdbEN1YcTQyivHnw8cKEXpOBFCCEkJhROpLAYMSHydT8dpgw1ETj9dZP31RUaOlKJ1nAghhPjCn5uksthyS5HvviuM4wRuukkKBh0nQgjJGjpOpLLYYovCOU6Fho4TIYRkDYUTqSyiFk6FTvgOAx0nQgjJGgonUln07Jl5jk+2dZwKDR0nQgjJGgonUnmcdVZ8CJQVVshvjlMhoeNECCFZw+RwUnn8+99e4U/0cvMbg85Gq1bJ0+g4EUJIRUHhRCoPCKCjjgr/OTpOhBBS8TBUR0hQmONECCEVD4UTIdmE6kqp8jZznAghJGsonAjJ1HFCYjjGvysV2KuOEEKyhsKJkGyEUylBx4kQQrKGwomQTEN1pdSjDtBxIoSQrKFwIqSSHScO8ksIIaGgcCKkkoVTKSW3E0JIEUDhREhQGKojhJCKh8KJkKDQcSKEkIqHwomQTIUTk8MJIaTioHAiJNNQHXOcCCGk4qBwIiQodJwIIaTioXAipJJznFiOgBBCQkHhREil9qrDcDFVvAQQQkgYeNUkpFIdJ9ZwIoSQ0FA4ERIUUyiVmuNkCiWG6QghJDQUToRkCh0nQgipOCicCMmUUnOcTIeJjhMhhISGwomQTKHjRAghFQeFEyGZQseJEEIqDgonQkJ9Y7SvDB0nQgipOCicCMm0ZxrqIJUSzHEihJCsoXAiJFPhtGxZabUd6zgRQkjWUDgRUqnCib3qCCEkNBROhGQqnJYvL622o+NECCFZQ+FESBjoOBFCSEVD4URIpQonjlVHCCGhoXAipFKFE3OcCCEkNBROhFSqcKLjRAghoTGGSy9yRl8h8sfLItO+EaluLnLq7OR5rrPU1tnuDpG1TszLJpIyRxcfpS6c6DgRQkiZC6flS0QG7S/SaxORH+7zn2/HB0QG7BR/3bx9XjaPVAB0nAghpKIpLeG02XDv/w8Ppp6vtoNI6x552SRSYdx9t8gWW3jPr7lGSgo6ToQQUmHCKSjvnCryxrEi7QeIDDlGZM3jRWL+6VyLFy92H4o5c+a4/xsaGtxHpYB9dRynovY5NJtsIvLuu944dUOGoNFKp92qqhKSGp3qanEKsM0l015FBtuNbcbzLXeEuR6Vn3Da7HKRvtuK1LQU+fNtkffOFlk4XWTjf/h+ZMSIETJ8eKObpTFt2jRZtGiRVAo4cerr692bWpU+mC1JZNVVvf91dSXVbq0WLJB22usly5fLrMZ9yCel0l7FBtuNbcbzLXfMnTu3hITTx5eKfJIsWhI49HORHusHW54ukLqt7f3/5LKUwunCCy+UYcOGJThOffr0ka5du0q7dvqtpvwvzLFYzN1v3tDKsN06dEh42bxVK+nWrVveN6Nk2qvIYLuxzXi+5Y4WLVqUkHBa+1SRQQelnqd9/8yX33NjkSVzROZPFWnd3TpLbW2t+zDBRb3SLuy4oVXifldEuxnlB2I1NRIr0PaWRHsVIWw3thnPt9wQ5lpUeOHUqov3yBV1X4vUtPASxgmpZFjHiRBCsqbwwikMc/4UWTRTZO6fIg3LReq+8aZ3WEmkeRuR318UmT/FK1fg5ji9K/LhxSJDjhepSXaUCKkozLBznz6F2hJCCClZSks4ffwvkTEPxV8/so73/4B3RfoMFalqJvLN7SLvDRNxGkQ6rCiy2WUia59SsE0mpGjYZReRAw4Q+ftvkY03RnJfobeIEEJKjtISTjs96D38QNFLvfAlISRO27YiTz3FFiGEkCxgZiYhhBBCSEAonAghhBBCAkLhRAghhBASEAonQgghhJCAUDgRQgghhASEwokQQgghJCAUToQQQgghAaFwIoQQQggJCIUTIYQQQkhAKJwIIYQQQgJC4UQIIYQQEhAKJ0IIIYSQgFA4EUIIIYQEhMKJEEIIISQgFE6EEEIIIQGhcCKEEEIICQiFEyGEEEJIQCicCCGEEEICUhN0xkrCcRz3/5w5c6SSaGhokLlz50qLFi2kqoqamu3G86yY4PeTbcbzLXeo+726/6eCwskCxAPo06dP1MeGEEIIIUV8/2/fvn3KeWJOEHlVgb/sJk2aJG3btpVYLCaVAhQ3xOLEiROlXbt2hd6ckoHtxvbieVac8LvJtgsKpBBEU69evdJGXOg4WUCj9e7dWyoViCYKJ7Ybz7PihN9PthnPt9yQzmlSMJGFEEIIISQgFE6EEEIIIQGhcCJN1NbWyiWXXOL+J8Fhu4WD7ZUZbDe2WT7h+eYPk8MJIYQQQgJCx4kQQgghJCAUToQQQgghAaFwIoQQQggJCIVTkTNixAjZYIMN3GKc3bp1k7322kt+/vnnpMJdl156qVu4q2XLljJ06FAZM2ZMwjx33323Ox01YFDUc/bs2Unr+uqrr2T77beXDh06SOfOneX444+XefPmpdy+RYsWyVFHHSVDhgyRmpoad/tMJk+eLIcccogMGjTIrZF15plnSim028yZM+W0005zt7tVq1bSt29fOf3006W+vj5hObNmzZLDDz/crQGCB57b2tfk+++/l6222spd9worrCCXXXZZQrn/fLZbObTXhx9+KJtttpl77mKeVVddVW644QbJJeXQbu+99557TTAfP/30k+SCcmgzXPNsbbb66qtLLimHtgO33XabrLbaau482I6HH35YSgpUDifFy4477ug88MADzg8//OB88803zq677ur07dvXmTdvXtM8//nPf5y2bds6//vf/5zvv//eOfDAA52ePXs6c+bMaZrnhhtucEaMGOE+cNhnzZqVsJ6///7b6dixo3PiiSc6P/30k/PZZ585m266qbPvvvum3D5sBz5z9913u9u65557Js0zbtw45/TTT3ceeughZ+2113bOOOMMpxTaDdP22Wcf54UXXnB+++035+2333ZWXnnlpDbZaaednDXWWMP5+OOP3Qee77bbbim3r76+3unevbtz0EEHuevBNmBbrr322oK0Wzm011dffeU8/vjj7j6g7R555BGnVatWzl133eXkinJot3fffde9Jvz888/O5MmTmx7Lli1zckE5tNns2bMT2mrixIlOp06dnEsuucTJJeXQdrfffrs77cknn3R+//1354knnnDatGnjbk+pQOFUYtTV1bkXuVGjRrmvGxoanB49erhfFsWiRYuc9u3bO3feeWfS59VF0hROuLl069bNWb58edO0r7/+2p33119/DbRtRx55pFU46Wy11VZ5EU5Rt5vi6aefdpo3b+4sXbrUfT127Fh3uaNHj26a55NPPnGnQYD6gYsH1oV1KiBqe/Xq5W5bodut1NtLsffeezuHHXaYky9Ksd38rgn5ohTbzGTkyJFOLBZzxo8f7+STUmy7TTbZxDnnnHMSPodr22abbeaUCgzVlRjKTu3UqZP7f9y4cTJlyhTZYYcdEupvwCr9+OOPAy938eLF0rx584QxemCjqhBIqRNVu2E5CHciLAk++eQT18beaKONmubZeOON3WmploPPYV16zawdd9zRHSNx/PjxUmjKob2+/vprd5n4XL4o5XZbZ511pGfPnrLtttvKu+++K/milNtMcd9998l2220n/fr1k3xSim23ePFiadGiRcLncK/57LPPZOnSpVIKUDiVEHAIhw0bJptvvrmsscYa7jR8SUD37t0T5sVr9V4QttlmG3f+a665RpYsWeLGty+66KKmXJtSJqp2mzFjhlx++eVywgknNE3DvMg1MMG0VO2P92zr1retUJR6e2GcSVy4119/fTnllFPk2GOPlXxQqu0GsYQcyP/973/y7LPPujknEE/vv/++5JpSbTMdXB9fffXVvJ1npd52O+64o9x7773y5ZdfuvvwxRdfyP333++KpunTp0spQOFUQpx66qny3XffyRNPPJH0HhITdXBCmtNSgaTGhx56SK677jo3YbBHjx6y4ooruid9dXV10zxt2rRxHzvvvLNUUrthlPVdd91VBg8e7FZXT7UMczl+7WZbt9/y8kmpt9cHH3zgXozvvPNOufHGG637kQtKtd0glI477jhZd911ZZNNNpHbb7/d3YZrr71Wck2ptpnOgw8+6HaosXWMySWl2nb//Oc/3fnhYDVr1kz23HNPN9keqHtNseP5cqToQS+IF154wf0ViF/UCggcpebxy1FRV1eXpPzTgR5ceEydOlVat27tnujXX3+9DBgwwH3/lVdeabJSVRivEtpt7ty5stNOO7kXiJEjR7pfdn05aC+TadOmNS3H1m74nPnLDesGYY9blJRDe6nzFT09sS70MDr44IMll5RDu+ngpvboo49KLimHNoMogFuCHmdIdcgXpdx2LVu2dNvsrrvuctehHE/0FOzSpYuUBIVOsiKpQULdKaec4ibX/fLLL9b3kQx41VVXNU1bvHhx6ORwG/fdd5/bKylo0mgxJYdH1W7oJbLxxhu72z1//vyk5agkyk8//bRpGhIqgyRRdujQwV2nAgmdhUoOL7f2Ulx22WVOv379nFxRru2GHlZbb721kwvKqc3U9RQ9yPJBObWdzpZbbukcfPDBTqlA4VTknHTSSe5J/9577yV0f12wYEHCiYl5nn32WfcLjBPQLEeAz6CX3D333OOe/O+//777esaMGU3z3HLLLc6XX37pdku+9dZbnZYtWzo33XRT2m0cM2aMu6zdd9/dGTp0qPscDx01bb311nMOOeQQ9zk+V8zthv8bbbSRM2TIELfbrl9XbXTbXXPNNd1eJ3hg/nTddtGdGd12sU6sG9vQrl27hG67+Wy3cmgvnLPo0owbCh7333+/O8/FF1/s5IpyaDeUKkGvMLQZurlfcMEF7jUCXcnZZv7fTYAemzh2+aIczreff/7ZLRWC8w3CDOUSUMoBJURKBQqnIgcXMNsDtTwUUPKoH4JfGrW1ta56N38B4f10yzn88MPdExjdUvGFefjhhwNtI37R25adbj9y6QRE0W7q16TtoX/JIT4PPfRQtzYJHngexKX77rvvnC222MJdN7bh0ksvTfpVlq92K4f2uvnmm53VV1/ddUlxsV5nnXXcX8B6iY2oKYd2gzsxcOBAp0WLFm4tt80339x5+eWXnVxRDm2mRAJ+XKKGXb4oh7YbO3asW5cObYfvKaIUqVysYiSGP4UOFxJCCCGElALsVUcIIYQQEhAKJ0IIIYSQgFA4EUIIIYQEhMKJEEIIISQgFE6EEEIIIQGhcCKEEEIICQiFEyGEEEJIQCicCCGEEEICQuFECCl5MEI9BqVWjxYtWrgDjm699dYyYsSIpoFGwzJ27Fh3kODx48dHvs2EkNKEwokQUjY88MAD8sknn8ibb74pt912m6y99tpy1VVXyWqrrSZvvfVWRsJp+PDhFE6EkCZq4k8JIaS0WWONNWT99ddver3vvvvKWWedJZtvvrnss88+8uuvv0r37t0Luo2EkNKGjhMhpKzp27evXHfddTJ37ly566673GlffPGFHHTQQdK/f39p2bKl+//ggw+WCRMmJIT/9t9/f/c5Qn4qDIjpCrhY2267rbRr105atWolm222mbz99tsF2EtCSL6gcCKElD277LKLVFdXy/vvv+++Rs7SoEGD5MYbb5TXX3/dDedNnjxZNthgA5k+fbo7z6677ipXXnml+xxhP4QA8cB08Oijj8oOO+zgiqaHHnpInn76aenUqZPsuOOOFE+ElDExx3GcQm8EIYRkA1ygo48+Wj7//POEUJ0OksUhbJC3ZLJ8+XJZtGiRG8aDWDr99NPd6f/9739d1+ndd9+VoUOHNs2/YMEC6dOnj+swvfDCC03TGxoaZN1115Xa2lr59NNPeVAJKUPoOBFCKgL9N+K8efPk/PPPl5VWWklqamrcR5s2bWT+/Pny448/pl3Wxx9/LDNnzpQjjzxSli1b1vSAcNppp51cAYdlEULKDyaHE0LKHoiYGTNmyJAhQ9zXhxxyiBtO++c//+mG5xBuQ/4SQnoLFy5Mu7ypU6e6//fbbz/feSCsWrduHeFeEEKKAQonQkjZ8/LLL7vhOITb6uvr5aWXXpJLLrlELrjggqZ5Fi9e7IqdIHTp0sX9f8stt8jGG29snYe99wgpTyicCCFlzZ9//innnHOOtG/fXk444QTXWULYDnlIOvfee68rrnTUPKYLhdymDh06uPlSp556ah72ghBSLFA4EULKhh9++KEp3wjVwj/44AO3KCZ61I0cOVK6du3qzrflllvKNddc4zpHKEUwatQoue+++1wxZNaFAnfffbe0bdvWrUg+YMAA6dy5s+s2IccJLhVCdt26dZNp06bJt99+6/6/4447CtIGhJDcQuFECCkb0LMONG/e3BVBqBiOJPBjjz22STSBxx9/XM444ww577zzXJEFBwnVxlWpAQVEEkoW3HTTTW6YD44UhNhRRx0lhx12mFsj6uqrr3adLNSJgnhCtXK8TwgpT1iOgBBCCCEkICxHQAghhBASEAonQgghhJCAUDgRQgghhASEwokQQgghJCAUToQQQgghAaFwIoQQQggJCIUTIYQQQkhAKJwIIYQQQgJC4UQIIYQQEhAKJ0IIIYSQgFA4EUIIIYQEhMKJEEIIIUSC8f+aNjqicrAdEAAAAABJRU5ErkJggg==", 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" ] @@ -1193,7 +1288,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 48, "metadata": {}, "outputs": [], "source": [ @@ -1217,12 +1312,12 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1275,7 +1370,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1288,7 +1383,7 @@ " dtype='object')" ] }, - "execution_count": 76, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -1299,12 +1394,12 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -1343,7 +1438,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -1363,11 +1458,6 @@ "\n", "In this exercise, you are tasked with getting another variable from the [Google Earth Engine data catelog](https://developers.google.com/earth-engine/datasets/), something like the [MODIS Snow Covered Daily product](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD10A1). Add your function to your getData.py script and create a data processing function to bring to a daily resolution (if necessary) into dataprocessing.py. Plot you data either as a time series (as we have previously done) or over the basin for a single day." ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { diff --git a/cache/aiohttp_cache.sqlite b/cache/aiohttp_cache.sqlite index 03a77826da49e147ab6c5a4405f2eae25ce665fd..c469d9e8b8810b3a58367f6662c3de3d2ada2dcf 100644 GIT binary patch delta 49111 zcmcKDc@(zWSr+yr5HimSw3fjTD=p`Iyz`JMV?sa?!;}Cv!Z!j!4zU8{d|b*=ucz4x>CbMS;5k_hNJ=j?Cq zXYYI8!*yTxz2EOge*O===tqA3CtfuFnpb?$^Pcz0w>+=?&rf{e`T1Y;=fC44uX>sP z@T*?+A^-m?-}3n7ul{wP_W!=>LqGkRSO46fd;U-To!9)8SG>@F|H{`t{>bOOWB0kg z_NA}-%g_6q7yaz>UitT5_5Ck-*UNtOD}MjW|I$l;--~|s#ozkM&w9n1U-JLG{5>!I zxmSJh%l?m7{LPnrF%k{x=f4%qGyALnBd)IsS z?^@^eWtqo+^^3pkr~c#@K6v}>mA~PM{rQerm*f7l-@fCC-}dBoySbC~j@$F04qmqV z^KP^2gS*3Kv)^CK;Q4Uc9}mal7`&c0hs(B&p6v8+IQP-R^}5N4%iPoDcDZi+i9USX z8a$oq zuFKSoZ5_sO&$nYXx~bxDk#=#o_VZq^#{*5NC)!`H*ZuX}Mz?o1o6TvvbH=jg!*)+K z_Ln+0qdUUbZ!TqYf7zb5$K7h~`Ly$?CvLfX_jkQ)FYD3md9$l~-fzz5!|vEll!e{c 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z5qSo0P63dm?Xy@;1k(D3U5mm~z2OwasL!}U)}33e2SW8zBY)FC-<2$g4%7+-a$0W- zU_VCF762$m8musHZU^_BXX0tbElY>3%`2eQT=*LOR7X|kG^uy`!TnRZJPN9bZ`%2j zf%FgKJJUx|TrFqE<6}rxqv^( delta 864 zcmXZV>6gs~0LJm(#WZv8ojccHEKQBul*~lNk|-^fhNMy`Mp?>UBx$C!4&^J2I4U00(j}-?&POl&c!fB!E zq8_2*&0~}CX#DS>Sv;BEf`XdtrtLz>?YW8iO`+74+`X}ksfi&|Dr%B#M|H|*6p8N& z^0Uf|v$mmlj~S&+ zX2(J``%8MK>Wan>uRT_`G2Esg{nj!qFRjJ@`Cl(c6?!>7M+{*jY>Z7X18=}g%)&56 zFpAk2!yJrbQ_RI?*c@A69=60**c#j5jhK%&;mufpZ83qjU?JX$w_!WH9ou6O7ULb* z0XyQI*a=IpGj_qQ*bVQ(?szx$z@B&y-iy8PKD-|vzz4B6_QAf`4o^PFz&G(Nd>h}vcd-&@;~abs-^aNK&chFI zK7NQ*xBwU8B3z7OH7>y#T#6sz$5@NY@DuzLKf}*)Io9C{T!~5i0$1UexEj~sT3m Date: Thu, 26 Mar 2026 16:19:20 -0600 Subject: [PATCH 2/2] take upstream notebook versions --- CatchmentAttributes_nhdplus.ipynb | 4 +- EE_Exercise.ipynb | 261 ++- HydroDF_Analysis.ipynb | 2696 ++--------------------------- cache/aiohttp_cache.sqlite | Bin 24805376 -> 24858624 bytes 4 files changed, 374 insertions(+), 2587 deletions(-) diff --git a/CatchmentAttributes_nhdplus.ipynb b/CatchmentAttributes_nhdplus.ipynb index b2475b7..705f27f 100644 --- a/CatchmentAttributes_nhdplus.ipynb +++ b/CatchmentAttributes_nhdplus.ipynb @@ -154,7 +154,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/whitelightning450/mambaforge/envs/hyriver/lib/python3.10/site-packages/dataretrieval/nwis.py:692: UserWarning: WARNING: Starting in March 2024, the NWIS qw data endpoint is retiring and no longer receives updates. For more information, refer to https://waterdata.usgs.gov.nwis/qwdata and https://doi-usgs.github.io/dataRetrieval/articles/Status.html or email CompTools@usgs.gov.\n", + "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/dataretrieval/nwis.py:692: UserWarning: WARNING: Starting in March 2024, the NWIS qw data endpoint is retiring and no longer receives updates. For more information, refer to https://waterdata.usgs.gov.nwis/qwdata and https://doi-usgs.github.io/dataRetrieval/articles/Status.html or email CompTools@usgs.gov.\n", " warnings.warn(\n" ] } @@ -440,7 +440,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_304225/3686794627.py:4: UserWarning: 1 of 365 requests failed.. IDs of the failed requests are ['17077353']\n", + "/scratch/local/u0972368/981718/ipykernel_3936694/3686794627.py:4: UserWarning: 1 of 365 requests failed.. IDs of the failed requests are ['17077353']\n", " catchments = wd_cat.byid(\"featureid\", comids) # Get the catchments for the comids of the flowlines of the tributaries of the station\n" ] } diff --git a/EE_Exercise.ipynb b/EE_Exercise.ipynb index 5eaf84c..51e3f25 100644 --- a/EE_Exercise.ipynb +++ b/EE_Exercise.ipynb @@ -10,10 +10,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "6c7e2e87", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/google/api_core/_python_version_support.py:275: FutureWarning: You are using a Python version (3.10.20) which Google will stop supporting in new releases of google.api_core once it reaches its end of life (2026-10-04). Please upgrade to the latest Python version, or at least Python 3.11, to continue receiving updates for google.api_core past that date.\n", + " warnings.warn(message, FutureWarning)\n" + ] + } + ], "source": [ "import os\n", "import time\n", @@ -37,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "79617e36", "metadata": {}, "outputs": [], @@ -65,7 +74,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "eef05df6", "metadata": {}, "outputs": [], @@ -84,10 +93,189 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "6e1308ab", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/uufs/chpc.utah.edu/common/home/u0972368/conda-envs/hyriver/lib/python3.10/site-packages/geopandas/geoseries.py:772: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n", + " val = getattr(super(), mtd)(*args, **kwargs)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Authenticating with Earth Engine...\n", + "Initializing Earth Engine...\n", + "Earth Engine initialized successfully.\n" + ] + }, + { + "data": { + "text/html": [ + "
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convective_fractionlongwave_radiationpotential_energypotential_evaporationpressureshortwave_radiationspecific_humiditytemperaturetotal_precipitationwind_uwind_v
Date
2018-10-010.107919265.92866612.2751030.21277873997.583419196.2684340.00572511.9223400.0893650.9136424.007560
2018-10-020.029557304.15415213.9612160.10462573957.94104889.0032820.0075649.8325660.144091-1.7518903.449391
2018-10-030.230969277.87153751.6120600.12294273882.076787167.3231420.0075279.1504520.112957-0.8445052.330025
2018-10-040.316795279.62246567.6082030.17707573805.375300187.0677440.0060308.9905220.2362661.0655233.564316
2018-10-050.006660260.68125925.4437090.14144473801.376099176.0364760.0052805.8403260.0058172.2373810.429708
\n", + "
" + ], + "text/plain": [ + " convective_fraction longwave_radiation potential_energy \\\n", + "Date \n", + "2018-10-01 0.107919 265.928666 12.275103 \n", + "2018-10-02 0.029557 304.154152 13.961216 \n", + "2018-10-03 0.230969 277.871537 51.612060 \n", + "2018-10-04 0.316795 279.622465 67.608203 \n", + "2018-10-05 0.006660 260.681259 25.443709 \n", + "\n", + " potential_evaporation pressure shortwave_radiation \\\n", + "Date \n", + "2018-10-01 0.212778 73997.583419 196.268434 \n", + "2018-10-02 0.104625 73957.941048 89.003282 \n", + "2018-10-03 0.122942 73882.076787 167.323142 \n", + "2018-10-04 0.177075 73805.375300 187.067744 \n", + "2018-10-05 0.141444 73801.376099 176.036476 \n", + "\n", + " specific_humidity temperature total_precipitation wind_u \\\n", + "Date \n", + "2018-10-01 0.005725 11.922340 0.089365 0.913642 \n", + "2018-10-02 0.007564 9.832566 0.144091 -1.751890 \n", + "2018-10-03 0.007527 9.150452 0.112957 -0.844505 \n", + "2018-10-04 0.006030 8.990522 0.236266 1.065523 \n", + "2018-10-05 0.005280 5.840326 0.005817 2.237381 \n", + "\n", + " wind_v \n", + "Date \n", + "2018-10-01 4.007560 \n", + "2018-10-02 3.449391 \n", + "2018-10-03 2.330025 \n", + "2018-10-04 3.564316 \n", + "2018-10-05 0.429708 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Get basin polygon from USGS gage\n", "basin = NLDI().get_basins(usgs_gage_id)\n", @@ -113,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "5e1e3675", "metadata": {}, "outputs": [], @@ -164,10 +352,65 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "43a4d936", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n", + "Retrying in 1 seconds...\n", + "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n", + "Retrying in 2 seconds...\n", + "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n", + "Retrying in 4 seconds...\n", + "SNOTEL download failed: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)\n", + "Retrying in 8 seconds...\n" + ] + }, + { + "ename": "ReadTimeout", + "evalue": "HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTimeoutError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:464\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 464\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_conn\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:1093\u001b[0m, in \u001b[0;36mHTTPSConnectionPool._validate_conn\u001b[0;34m(self, conn)\u001b[0m\n\u001b[1;32m 1092\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m conn\u001b[38;5;241m.\u001b[39mis_closed:\n\u001b[0;32m-> 1093\u001b[0m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1095\u001b[0m \u001b[38;5;66;03m# TODO revise this, see https://github.com/urllib3/urllib3/issues/2791\u001b[39;00m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connection.py:796\u001b[0m, in \u001b[0;36mHTTPSConnection.connect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 794\u001b[0m server_hostname_rm_dot \u001b[38;5;241m=\u001b[39m server_hostname\u001b[38;5;241m.\u001b[39mrstrip(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 796\u001b[0m sock_and_verified \u001b[38;5;241m=\u001b[39m \u001b[43m_ssl_wrap_socket_and_match_hostname\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mcert_reqs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcert_reqs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_minimum_version\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_minimum_version\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 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\u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mssl_context\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 810\u001b[0m \u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 811\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 812\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_fingerprint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_fingerprint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 813\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 814\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msock \u001b[38;5;241m=\u001b[39m sock_and_verified\u001b[38;5;241m.\u001b[39msocket\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connection.py:975\u001b[0m, in \u001b[0;36m_ssl_wrap_socket_and_match_hostname\u001b[0;34m(sock, cert_reqs, ssl_version, ssl_minimum_version, ssl_maximum_version, cert_file, key_file, key_password, ca_certs, ca_cert_dir, ca_cert_data, assert_hostname, assert_fingerprint, server_hostname, ssl_context, tls_in_tls)\u001b[0m\n\u001b[1;32m 973\u001b[0m server_hostname \u001b[38;5;241m=\u001b[39m normalized\n\u001b[0;32m--> 975\u001b[0m ssl_sock \u001b[38;5;241m=\u001b[39m \u001b[43mssl_wrap_socket\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 976\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 977\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeyfile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkey_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 978\u001b[0m \u001b[43m \u001b[49m\u001b[43mcertfile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcert_file\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 979\u001b[0m \u001b[43m \u001b[49m\u001b[43mkey_password\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkey_password\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 980\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_certs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_certs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 981\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_dir\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_cert_dir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 982\u001b[0m \u001b[43m \u001b[49m\u001b[43mca_cert_data\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mca_cert_data\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 983\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 984\u001b[0m \u001b[43m \u001b[49m\u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 985\u001b[0m \u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 986\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 988\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/ssl_.py:483\u001b[0m, in \u001b[0;36mssl_wrap_socket\u001b[0;34m(sock, keyfile, certfile, cert_reqs, ca_certs, server_hostname, ssl_version, ciphers, ssl_context, ca_cert_dir, key_password, ca_cert_data, tls_in_tls)\u001b[0m\n\u001b[1;32m 481\u001b[0m context\u001b[38;5;241m.\u001b[39mset_alpn_protocols(ALPN_PROTOCOLS)\n\u001b[0;32m--> 483\u001b[0m ssl_sock \u001b[38;5;241m=\u001b[39m \u001b[43m_ssl_wrap_socket_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtls_in_tls\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 484\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ssl_sock\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/ssl_.py:527\u001b[0m, in \u001b[0;36m_ssl_wrap_socket_impl\u001b[0;34m(sock, ssl_context, tls_in_tls, server_hostname)\u001b[0m\n\u001b[1;32m 525\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m SSLTransport(sock, ssl_context, server_hostname)\n\u001b[0;32m--> 527\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mssl_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrap_socket\u001b[49m\u001b[43m(\u001b[49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:513\u001b[0m, in \u001b[0;36mSSLContext.wrap_socket\u001b[0;34m(self, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, session)\u001b[0m\n\u001b[1;32m 507\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mwrap_socket\u001b[39m(\u001b[38;5;28mself\u001b[39m, sock, server_side\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 508\u001b[0m do_handshake_on_connect\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 509\u001b[0m suppress_ragged_eofs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 510\u001b[0m server_hostname\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, session\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 511\u001b[0m \u001b[38;5;66;03m# SSLSocket class handles server_hostname encoding before it calls\u001b[39;00m\n\u001b[1;32m 512\u001b[0m \u001b[38;5;66;03m# ctx._wrap_socket()\u001b[39;00m\n\u001b[0;32m--> 513\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msslsocket_class\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_create\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 514\u001b[0m \u001b[43m \u001b[49m\u001b[43msock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 515\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_side\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_side\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 516\u001b[0m \u001b[43m \u001b[49m\u001b[43mdo_handshake_on_connect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdo_handshake_on_connect\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 517\u001b[0m \u001b[43m \u001b[49m\u001b[43msuppress_ragged_eofs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msuppress_ragged_eofs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 518\u001b[0m \u001b[43m \u001b[49m\u001b[43mserver_hostname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mserver_hostname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 519\u001b[0m \u001b[43m \u001b[49m\u001b[43mcontext\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 520\u001b[0m \u001b[43m \u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\n\u001b[1;32m 521\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:1104\u001b[0m, in \u001b[0;36mSSLSocket._create\u001b[0;34m(cls, sock, server_side, do_handshake_on_connect, suppress_ragged_eofs, server_hostname, context, session)\u001b[0m\n\u001b[1;32m 1103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdo_handshake_on_connect should not be specified for non-blocking sockets\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1104\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_handshake\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1105\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mOSError\u001b[39;00m, \u001b[38;5;167;01mValueError\u001b[39;00m):\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/ssl.py:1375\u001b[0m, in \u001b[0;36mSSLSocket.do_handshake\u001b[0;34m(self, block)\u001b[0m\n\u001b[1;32m 1374\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msettimeout(\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 1375\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_handshake\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1376\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n", + "\u001b[0;31mTimeoutError\u001b[0m: _ssl.c:1000: The handshake operation timed out", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mReadTimeoutError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/adapters.py:644\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 644\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murlopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 645\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 646\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 647\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 648\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 649\u001b[0m \u001b[43m \u001b[49m\u001b[43mredirect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 650\u001b[0m \u001b[43m \u001b[49m\u001b[43massert_same_host\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 651\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 652\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 653\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmax_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 654\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 655\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 656\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 658\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (ProtocolError, \u001b[38;5;167;01mOSError\u001b[39;00m) \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:841\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 839\u001b[0m new_e \u001b[38;5;241m=\u001b[39m ProtocolError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mConnection aborted.\u001b[39m\u001b[38;5;124m\"\u001b[39m, new_e)\n\u001b[0;32m--> 841\u001b[0m retries \u001b[38;5;241m=\u001b[39m \u001b[43mretries\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mincrement\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 842\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merror\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnew_e\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_pool\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stacktrace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexc_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m 843\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 844\u001b[0m retries\u001b[38;5;241m.\u001b[39msleep()\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/retry.py:490\u001b[0m, in \u001b[0;36mRetry.increment\u001b[0;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[1;32m 489\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m read \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mFalse\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_is_method_retryable(method):\n\u001b[0;32m--> 490\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[43mreraise\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43merror\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merror\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_stacktrace\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 491\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m read \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/util/util.py:39\u001b[0m, in \u001b[0;36mreraise\u001b[0;34m(tp, value, tb)\u001b[0m\n\u001b[1;32m 38\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m value\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[0;32m---> 39\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m value\n\u001b[1;32m 40\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:787\u001b[0m, in \u001b[0;36mHTTPConnectionPool.urlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw)\u001b[0m\n\u001b[1;32m 786\u001b[0m \u001b[38;5;66;03m# Make the request on the HTTPConnection object\u001b[39;00m\n\u001b[0;32m--> 787\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 788\u001b[0m \u001b[43m \u001b[49m\u001b[43mconn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 789\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 790\u001b[0m \u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 791\u001b[0m \u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 792\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbody\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 793\u001b[0m \u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 794\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mchunked\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 795\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 796\u001b[0m \u001b[43m \u001b[49m\u001b[43mresponse_conn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresponse_conn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 797\u001b[0m \u001b[43m \u001b[49m\u001b[43mpreload_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreload_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 798\u001b[0m \u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 799\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mresponse_kw\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 800\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 802\u001b[0m \u001b[38;5;66;03m# Everything went great!\u001b[39;00m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:488\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 487\u001b[0m new_e \u001b[38;5;241m=\u001b[39m _wrap_proxy_error(new_e, conn\u001b[38;5;241m.\u001b[39mproxy\u001b[38;5;241m.\u001b[39mscheme)\n\u001b[0;32m--> 488\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m new_e\n\u001b[1;32m 490\u001b[0m \u001b[38;5;66;03m# conn.request() calls http.client.*.request, not the method in\u001b[39;00m\n\u001b[1;32m 491\u001b[0m \u001b[38;5;66;03m# urllib3.request. It also calls makefile (recv) on the socket.\u001b[39;00m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:466\u001b[0m, in \u001b[0;36mHTTPConnectionPool._make_request\u001b[0;34m(self, conn, method, url, body, headers, retries, timeout, chunked, response_conn, preload_content, decode_content, enforce_content_length)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (SocketTimeout, BaseSSLError) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 466\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_timeout\u001b[49m\u001b[43m(\u001b[49m\u001b[43merr\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43me\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 467\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/urllib3/connectionpool.py:367\u001b[0m, in \u001b[0;36mHTTPConnectionPool._raise_timeout\u001b[0;34m(self, err, url, timeout_value)\u001b[0m\n\u001b[1;32m 366\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(err, SocketTimeout):\n\u001b[0;32m--> 367\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ReadTimeoutError(\n\u001b[1;32m 368\u001b[0m \u001b[38;5;28mself\u001b[39m, url, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRead timed out. (read timeout=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtimeout_value\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 369\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 371\u001b[0m \u001b[38;5;66;03m# See the above comment about EAGAIN in Python 3.\u001b[39;00m\n", + "\u001b[0;31mReadTimeoutError\u001b[0m: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mReadTimeout\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 41\u001b[0m\n\u001b[1;32m 38\u001b[0m SiteID \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m09330000\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 39\u001b[0m StateAbb \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUT\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m---> 41\u001b[0m snotel_df \u001b[38;5;241m=\u001b[39m \u001b[43mdownload_snotel_csv\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 42\u001b[0m \u001b[43m \u001b[49m\u001b[43mSiteName\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSiteName\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[43m \u001b[49m\u001b[43mSiteID\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSiteID\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 44\u001b[0m \u001b[43m \u001b[49m\u001b[43mStateAbb\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStateAbb\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 45\u001b[0m \u001b[43m \u001b[49m\u001b[43mStartDate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStartDate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 46\u001b[0m \u001b[43m \u001b[49m\u001b[43mEndDate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mEndDate\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 47\u001b[0m \u001b[43m \u001b[49m\u001b[43mOutputFolder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mOutputFolder\u001b[49m\n\u001b[1;32m 48\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m 50\u001b[0m snotel_df\u001b[38;5;241m.\u001b[39mhead()\n", + "Cell \u001b[0;32mIn[6], line 19\u001b[0m, in \u001b[0;36mdownload_snotel_csv\u001b[0;34m(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries)\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m attempt \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(tries):\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 19\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43mrequests\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m300\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 20\u001b[0m r\u001b[38;5;241m.\u001b[39mraise_for_status()\n\u001b[1;32m 22\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(out_csv, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m, encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/api.py:73\u001b[0m, in \u001b[0;36mget\u001b[0;34m(url, params, **kwargs)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mget\u001b[39m(url, params\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 63\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Sends a GET request.\u001b[39;00m\n\u001b[1;32m 64\u001b[0m \n\u001b[1;32m 65\u001b[0m \u001b[38;5;124;03m :param url: URL for the new :class:`Request` object.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[38;5;124;03m :rtype: requests.Response\u001b[39;00m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mget\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/api.py:59\u001b[0m, in \u001b[0;36mrequest\u001b[0;34m(method, url, **kwargs)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# By using the 'with' statement we are sure the session is closed, thus we\u001b[39;00m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;66;03m# avoid leaving sockets open which can trigger a ResourceWarning in some\u001b[39;00m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;66;03m# cases, and look like a memory leak in others.\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m sessions\u001b[38;5;241m.\u001b[39mSession() \u001b[38;5;28;01mas\u001b[39;00m session:\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msession\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/sessions.py:589\u001b[0m, in \u001b[0;36mSession.request\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m 584\u001b[0m send_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 585\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtimeout\u001b[39m\u001b[38;5;124m\"\u001b[39m: timeout,\n\u001b[1;32m 586\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallow_redirects\u001b[39m\u001b[38;5;124m\"\u001b[39m: allow_redirects,\n\u001b[1;32m 587\u001b[0m }\n\u001b[1;32m 588\u001b[0m send_kwargs\u001b[38;5;241m.\u001b[39mupdate(settings)\n\u001b[0;32m--> 589\u001b[0m resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprep\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msend_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/sessions.py:703\u001b[0m, in \u001b[0;36mSession.send\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m 700\u001b[0m start \u001b[38;5;241m=\u001b[39m preferred_clock()\n\u001b[1;32m 702\u001b[0m \u001b[38;5;66;03m# Send the request\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m r \u001b[38;5;241m=\u001b[39m \u001b[43madapter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 705\u001b[0m \u001b[38;5;66;03m# Total elapsed time of the request (approximately)\u001b[39;00m\n\u001b[1;32m 706\u001b[0m elapsed \u001b[38;5;241m=\u001b[39m preferred_clock() \u001b[38;5;241m-\u001b[39m start\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/requests/adapters.py:690\u001b[0m, in \u001b[0;36mHTTPAdapter.send\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m 688\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SSLError(e, request\u001b[38;5;241m=\u001b[39mrequest)\n\u001b[1;32m 689\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, ReadTimeoutError):\n\u001b[0;32m--> 690\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ReadTimeout(e, request\u001b[38;5;241m=\u001b[39mrequest)\n\u001b[1;32m 691\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, _InvalidHeader):\n\u001b[1;32m 692\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidHeader(e, request\u001b[38;5;241m=\u001b[39mrequest)\n", + "\u001b[0;31mReadTimeout\u001b[0m: HTTPSConnectionPool(host='wcc.sc.egov.usda.gov', port=443): Read timed out. (read timeout=300)" + ] + } + ], "source": [ "def download_snotel_csv(SiteName, SiteID, StateAbb, StartDate, EndDate, OutputFolder, tries=5):\n", " os.makedirs(OutputFolder, exist_ok=True)\n", diff --git a/HydroDF_Analysis.ipynb b/HydroDF_Analysis.ipynb index 3c2bef7..69322c9 100644 --- a/HydroDF_Analysis.ipynb +++ b/HydroDF_Analysis.ipynb @@ -74,10 +74,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "TUM: 15288 start date: 1980-01-10 00:00:00 end date: 2021-11-17 00:00:00\n", - "DAN: 14936 start date: 1980-10-26 00:00:00 end date: 2021-09-16 00:00:00\n", - "SLI: 14273 start date: 1982-10-21 00:00:00 end date: 2021-11-17 00:00:00\n", - "TES: 629 start date: 2005-03-01 00:00:00 end date: 2006-11-19 00:00:00\n" + "386: 16068 start date: 1978-10-01 00:00:00 end date: 2022-09-27 00:00:00\n", + "387: 12940 start date: 1990-10-01 00:00:00 end date: 2026-03-05 00:00:00\n", + "629: 17323 start date: 1978-10-01 00:00:00 end date: 2026-03-05 00:00:00\n", + "632: 14456 start date: 1986-08-07 00:00:00 end date: 2026-03-05 00:00:00\n", + "713: 16592 start date: 1980-10-01 00:00:00 end date: 2026-03-05 00:00:00\n", + "780: 14429 start date: 1986-09-03 00:00:00 end date: 2026-03-05 00:00:00\n", + "DAN: 6195 start date: 2004-10-01 00:00:00 end date: 2021-09-16 00:00:00\n", + "SLI: 5892 start date: 2005-10-01 00:00:00 end date: 2021-11-17 00:00:00\n", + "TES: 629 start date: 2005-03-01 00:00:00 end date: 2006-11-19 00:00:00\n", + "TUM: 6257 start date: 2004-10-01 00:00:00 end date: 2021-11-17 00:00:00\n" ] } ], @@ -132,60 +138,110 @@ " \n", " \n", " \n", - " TUM_SWE_cm\n", + " 386_SWE_cm\n", + " 387_SWE_cm\n", + " 629_SWE_cm\n", + " 632_SWE_cm\n", + " 713_SWE_cm\n", + " 780_SWE_cm\n", " DAN_SWE_cm\n", " SLI_SWE_cm\n", + " TUM_SWE_cm\n", " \n", " \n", " Date\n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 1982-10-21\n", - " 0.000\n", - " NaN\n", - " 0.000\n", + " 2005-10-01\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 1982-10-22\n", - " 0.508\n", - " NaN\n", - " 2.286\n", + " 2005-10-02\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 1982-10-23\n", - " 1.270\n", - " NaN\n", - " 2.286\n", + " 2005-10-03\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 1982-10-24\n", - " 1.778\n", - " NaN\n", - " 2.286\n", + " 2005-10-04\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", - " 1982-10-25\n", - " 2.032\n", - " NaN\n", - " 2.540\n", + " 2005-10-05\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", + " 0.0\n", " \n", " \n", "\n", "" ], "text/plain": [ - " TUM_SWE_cm DAN_SWE_cm SLI_SWE_cm\n", - "Date \n", - "1982-10-21 0.000 NaN 0.000\n", - "1982-10-22 0.508 NaN 2.286\n", - "1982-10-23 1.270 NaN 2.286\n", - "1982-10-24 1.778 NaN 2.286\n", - "1982-10-25 2.032 NaN 2.540" + " 386_SWE_cm 387_SWE_cm 629_SWE_cm 632_SWE_cm 713_SWE_cm \\\n", + "Date \n", + "2005-10-01 0.0 0.0 0.0 0.0 0.0 \n", + "2005-10-02 0.0 0.0 0.0 0.0 0.0 \n", + "2005-10-03 0.0 0.0 0.0 0.0 0.0 \n", + "2005-10-04 0.0 0.0 0.0 0.0 0.0 \n", + "2005-10-05 0.0 0.0 0.0 0.0 0.0 \n", + "\n", + " 780_SWE_cm DAN_SWE_cm SLI_SWE_cm TUM_SWE_cm \n", + "Date \n", + "2005-10-01 0.0 0.0 0.0 0.0 \n", + "2005-10-02 0.0 0.0 0.0 0.0 \n", + "2005-10-03 0.0 0.0 0.0 0.0 \n", + "2005-10-04 0.0 0.0 0.0 0.0 \n", + "2005-10-05 0.0 0.0 0.0 0.0 " ] }, "execution_count": 4, @@ -226,128 +282,20 @@ "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
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dayl_sprcp_mm_daysrad_W_m2swe_cmtmax_Ctmin_Cvp_Patmean
Date
1980-01-0133914.080.0356.432.9436.07-12.54232.94-3.235
1980-01-0233952.030.0363.522.9437.82-11.91239.32-2.045
1980-01-0333993.090.0364.492.9437.14-12.50229.62-2.680
1980-01-0434037.220.0340.582.9435.89-10.41276.75-2.260
1980-01-0534084.410.0318.392.9436.51-7.77340.48-0.630
\n", - "
" - ], - "text/plain": [ - " dayl_s prcp_mm_day srad_W_m2 swe_cm tmax_C tmin_C vp_Pa \\\n", - "Date \n", - "1980-01-01 33914.08 0.0 356.43 2.943 6.07 -12.54 232.94 \n", - "1980-01-02 33952.03 0.0 363.52 2.943 7.82 -11.91 239.32 \n", - "1980-01-03 33993.09 0.0 364.49 2.943 7.14 -12.50 229.62 \n", - "1980-01-04 34037.22 0.0 340.58 2.943 5.89 -10.41 276.75 \n", - "1980-01-05 34084.41 0.0 318.39 2.943 6.51 -7.77 340.48 \n", - "\n", - " tmean \n", - "Date \n", - "1980-01-01 -3.235 \n", - "1980-01-02 -2.045 \n", - "1980-01-03 -2.680 \n", - "1980-01-04 -2.260 \n", - "1980-01-05 -0.630 " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'files/PyDayMet/PyDayMet_11274790.csv'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m#Read the data from PyDayMet \u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m PyDayMet_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfiles/PyDayMet/PyDayMet_\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mstation_id\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m.csv\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m#set the date column to be a datetime object and set it to the index\u001b[39;00m\n\u001b[1;32m 4\u001b[0m PyDayMet_df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_datetime(PyDayMet_df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1026\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 1013\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 1014\u001b[0m dialect,\n\u001b[1;32m 1015\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1022\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 1023\u001b[0m )\n\u001b[1;32m 1024\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m-> 1026\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/pandas/io/parsers/readers.py:620\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 617\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m 619\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 620\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 622\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m 623\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1620\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1617\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 1619\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 1620\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/pandas/io/parsers/readers.py:1880\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m 1878\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m mode:\n\u001b[1;32m 1879\u001b[0m mode \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1880\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1881\u001b[0m \u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1882\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1883\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1884\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1885\u001b[0m \u001b[43m \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1886\u001b[0m \u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1887\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1888\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1889\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1890\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 1891\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n", + "File \u001b[0;32m~/conda-envs/hyriver/lib/python3.10/site-packages/pandas/io/common.py:873\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 868\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 869\u001b[0m \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m 870\u001b[0m \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m 871\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m 872\u001b[0m \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 873\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m 874\u001b[0m \u001b[43m \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 875\u001b[0m \u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 876\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 877\u001b[0m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 878\u001b[0m \u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 879\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 880\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 881\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m 882\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'files/PyDayMet/PyDayMet_11274790.csv'" + ] } ], "source": [ @@ -361,171 +309,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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convective_fractionlongwave_radiationpotential_energypotential_evaporationpressureshortwave_radiationspecific_humiditytemperaturetotal_precipitationwind_uwind_v
Date
2006-01-010.005192199.8338361.5080870.04499071408.17016095.2341920.002439-7.5613170.5637032.8078825.710911
2006-01-020.051767264.13248233.0550340.01366370799.28572493.9327710.004772-0.9444784.5321284.4676748.864378
2006-01-030.016707214.2928279.2099500.03009371724.799553101.1671700.002966-6.3718420.5753874.2472623.778855
2006-01-040.000000226.5812430.0000000.01627272808.304958101.3686100.003240-3.4628350.0023581.4853891.450410
2006-01-050.000000214.9101430.0000000.03397473429.441947112.5465830.0028491.3203370.000000-0.7798093.417216
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" - ], - "text/plain": [ - " convective_fraction longwave_radiation potential_energy \\\n", - "Date \n", - "2006-01-01 0.005192 199.833836 1.508087 \n", - "2006-01-02 0.051767 264.132482 33.055034 \n", - "2006-01-03 0.016707 214.292827 9.209950 \n", - "2006-01-04 0.000000 226.581243 0.000000 \n", - "2006-01-05 0.000000 214.910143 0.000000 \n", - "\n", - " potential_evaporation pressure shortwave_radiation \\\n", - "Date \n", - "2006-01-01 0.044990 71408.170160 95.234192 \n", - "2006-01-02 0.013663 70799.285724 93.932771 \n", - "2006-01-03 0.030093 71724.799553 101.167170 \n", - "2006-01-04 0.016272 72808.304958 101.368610 \n", - "2006-01-05 0.033974 73429.441947 112.546583 \n", - "\n", - " specific_humidity temperature total_precipitation wind_u \\\n", - "Date \n", - "2006-01-01 0.002439 -7.561317 0.563703 2.807882 \n", - "2006-01-02 0.004772 -0.944478 4.532128 4.467674 \n", - "2006-01-03 0.002966 -6.371842 0.575387 4.247262 \n", - "2006-01-04 0.003240 -3.462835 0.002358 1.485389 \n", - "2006-01-05 0.002849 1.320337 0.000000 -0.779809 \n", - "\n", - " wind_v \n", - "Date \n", - "2006-01-01 5.710911 \n", - "2006-01-02 8.864378 \n", - "2006-01-03 3.778855 \n", - "2006-01-04 1.450410 \n", - "2006-01-05 3.417216 " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#Read the data from NLDAS \n", "NLDAS_df = pd.read_csv(f\"files/NLDAS/NLDAS_{station_id}.csv\")\n", @@ -544,84 +330,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cms
Date
2006-10-13112747900.611643
2006-10-14112747900.563504
2006-10-15112747900.538019
2006-10-16112747900.504039
2006-10-17112747900.481386
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" - ], - "text/plain": [ - " site_no flow_cms\n", - "Date \n", - "2006-10-13 11274790 0.611643\n", - "2006-10-14 11274790 0.563504\n", - "2006-10-15 11274790 0.538019\n", - "2006-10-16 11274790 0.504039\n", - "2006-10-17 11274790 0.481386" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "streamflow_df = pd.read_csv(f\"files/NWIS/streamflow_{station_id}.csv\")\n", "#set the date column to be a datetime object and set it to the index\n", @@ -640,113 +351,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Unnamed: 0station_idAverage_Elevation_mMinimum_Elevation_mMaximum_Elevation_mAverage_SlopeArea_km2Open_WaterPerennial_Ice_SnowDeveloped,_Open_Space...Developed,_Medium_IntensityDeveloped,_High_IntensityBarren_Land_Rock_Sand_ClayDeciduous_ForestEvergreen_ForestMixed_ForestShrub_ScrubGrassland_HerbaceousWoody_WetlandsEmergent_Herbaceous_Wetlands
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" - ], - "text/plain": [ - " Unnamed: 0 station_id Average_Elevation_m Minimum_Elevation_m \\\n", - "0 TuolumneRiverBasin 11274790 2847.0938 1165.1238 \n", - "\n", - " Maximum_Elevation_m Average_Slope Area_km2 Open_Water \\\n", - "0 3972.5696 0.392479 1249.464814 0.745168 \n", - "\n", - " Perennial_Ice_Snow Developed,_Open_Space ... \\\n", - "0 0.374508 0.071823 ... \n", - "\n", - " Developed,_Medium_Intensity Developed,_High_Intensity \\\n", - "0 0.008978 0.006413 \n", - "\n", - " Barren_Land_Rock_Sand_Clay Deciduous_Forest Evergreen_Forest \\\n", - "0 8.326386 0.01026 37.994588 \n", - "\n", - " Mixed_Forest Shrub_Scrub Grassland_Herbaceous Woody_Wetlands \\\n", - "0 0.002565 45.493722 5.055856 0.638715 \n", - "\n", - " Emergent_Herbaceous_Wetlands \n", - "0 1.233824 \n", - "\n", - "[1 rows x 21 columns]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "basin_info = pd.read_csv(f\"files/basin_info/basin_info_{station_id}.csv\")\n", "basin_info.head()" @@ -761,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -778,252 +385,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cmsTUM_SWE_cmDAN_SWE_cmSLI_SWE_cmdayl_sprcp_mm_daysrad_W_m2swe_cmtmax_C...longwave_radiationpotential_energypotential_evaporationpressureshortwave_radiationspecific_humiditytemperaturetotal_precipitationwind_uwind_v
Date
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2006-10-14112747900.5635040.00.00.039705.430.0368.370.012.76...219.1734610.0277930.14306771877.921092190.4548430.0042753.6693910.014288-0.926827-2.149881
2006-10-15112747900.5380190.00.00.039562.000.0402.910.015.72...221.0132300.0000000.15659172003.823920180.3533730.0034375.0691120.0040311.443303-2.045946
2006-10-16112747900.5040390.00.00.039419.270.0342.840.09.39...212.4368700.6243200.15934071788.350428190.7530020.0038523.6430040.0011244.436657-0.672672
2006-10-17112747900.4813860.00.00.039277.270.0327.940.05.66...187.4580544.5423290.11699571563.357945188.9022330.002838-2.5031300.0043091.149626-2.636144
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5 rows × 24 columns

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" - ], - "text/plain": [ - " site_no flow_cms TUM_SWE_cm DAN_SWE_cm SLI_SWE_cm dayl_s \\\n", - "Date \n", - "2006-10-13 11274790 0.611643 0.0 0.0 0.0 39849.51 \n", - "2006-10-14 11274790 0.563504 0.0 0.0 0.0 39705.43 \n", - "2006-10-15 11274790 0.538019 0.0 0.0 0.0 39562.00 \n", - "2006-10-16 11274790 0.504039 0.0 0.0 0.0 39419.27 \n", - "2006-10-17 11274790 0.481386 0.0 0.0 0.0 39277.27 \n", - "\n", - " prcp_mm_day srad_W_m2 swe_cm tmax_C ... longwave_radiation \\\n", - "Date ... \n", - "2006-10-13 0.0 335.15 0.0 12.52 ... 223.457644 \n", - "2006-10-14 0.0 368.37 0.0 12.76 ... 219.173461 \n", - "2006-10-15 0.0 402.91 0.0 15.72 ... 221.013230 \n", - "2006-10-16 0.0 342.84 0.0 9.39 ... 212.436870 \n", - "2006-10-17 0.0 327.94 0.0 5.66 ... 187.458054 \n", - "\n", - " potential_energy potential_evaporation pressure \\\n", - "Date \n", - "2006-10-13 0.038401 0.139839 72107.765879 \n", - "2006-10-14 0.027793 0.143067 71877.921092 \n", - "2006-10-15 0.000000 0.156591 72003.823920 \n", - "2006-10-16 0.624320 0.159340 71788.350428 \n", - "2006-10-17 4.542329 0.116995 71563.357945 \n", - "\n", - " shortwave_radiation specific_humidity temperature \\\n", - "Date \n", - "2006-10-13 174.191132 0.003637 4.295980 \n", - "2006-10-14 190.454843 0.004275 3.669391 \n", - "2006-10-15 180.353373 0.003437 5.069112 \n", - "2006-10-16 190.753002 0.003852 3.643004 \n", - "2006-10-17 188.902233 0.002838 -2.503130 \n", - "\n", - " total_precipitation wind_u wind_v \n", - "Date \n", - "2006-10-13 0.025121 -2.033486 0.793636 \n", - "2006-10-14 0.014288 -0.926827 -2.149881 \n", - "2006-10-15 0.004031 1.443303 -2.045946 \n", - "2006-10-16 0.001124 4.436657 -0.672672 \n", - "2006-10-17 0.004309 1.149626 -2.636144 \n", - "\n", - "[5 rows x 24 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#merge the SNOTEL_df, met_df, and streamflow dataframes\n", "Hydro_df = pd.concat([SNOTEL_df, PyDayMet_df, NLDAS_df,streamflow_df], axis=1)\n", @@ -1036,252 +400,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cmsTUM_SWE_cmDAN_SWE_cmSLI_SWE_cmdayl_sprcp_mm_daysrad_W_m2swe_cmtmax_C...longwave_radiationpotential_energypotential_evaporationpressureshortwave_radiationspecific_humiditytemperaturetotal_precipitationwind_uwind_v
Date
2006-10-13112747900.6116430.00.00.039849.510.0335.150.012.52...223.4576440.0384010.13983972107.765879174.1911320.0036374.2959800.025121-2.0334860.793636
2006-10-14112747900.5635040.00.00.039705.430.0368.370.012.76...219.1734610.0277930.14306771877.921092190.4548430.0042753.6693910.014288-0.926827-2.149881
2006-10-15112747900.5380190.00.00.039562.000.0402.910.015.72...221.0132300.0000000.15659172003.823920180.3533730.0034375.0691120.0040311.443303-2.045946
2006-10-16112747900.5040390.00.00.039419.270.0342.840.09.39...212.4368700.6243200.15934071788.350428190.7530020.0038523.6430040.0011244.436657-0.672672
2006-10-17112747900.4813860.00.00.039277.270.0327.940.05.66...187.4580544.5423290.11699571563.357945188.9022330.002838-2.5031300.0043091.149626-2.636144
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5 rows × 24 columns

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" - ], - "text/plain": [ - " site_no flow_cms TUM_SWE_cm DAN_SWE_cm SLI_SWE_cm dayl_s \\\n", - "Date \n", - "2006-10-13 11274790 0.611643 0.0 0.0 0.0 39849.51 \n", - "2006-10-14 11274790 0.563504 0.0 0.0 0.0 39705.43 \n", - "2006-10-15 11274790 0.538019 0.0 0.0 0.0 39562.00 \n", - "2006-10-16 11274790 0.504039 0.0 0.0 0.0 39419.27 \n", - "2006-10-17 11274790 0.481386 0.0 0.0 0.0 39277.27 \n", - "\n", - " prcp_mm_day srad_W_m2 swe_cm tmax_C ... longwave_radiation \\\n", - "Date ... \n", - "2006-10-13 0.0 335.15 0.0 12.52 ... 223.457644 \n", - "2006-10-14 0.0 368.37 0.0 12.76 ... 219.173461 \n", - "2006-10-15 0.0 402.91 0.0 15.72 ... 221.013230 \n", - "2006-10-16 0.0 342.84 0.0 9.39 ... 212.436870 \n", - "2006-10-17 0.0 327.94 0.0 5.66 ... 187.458054 \n", - "\n", - " potential_energy potential_evaporation pressure \\\n", - "Date \n", - "2006-10-13 0.038401 0.139839 72107.765879 \n", - "2006-10-14 0.027793 0.143067 71877.921092 \n", - "2006-10-15 0.000000 0.156591 72003.823920 \n", - "2006-10-16 0.624320 0.159340 71788.350428 \n", - "2006-10-17 4.542329 0.116995 71563.357945 \n", - "\n", - " shortwave_radiation specific_humidity temperature \\\n", - "Date \n", - "2006-10-13 174.191132 0.003637 4.295980 \n", - "2006-10-14 190.454843 0.004275 3.669391 \n", - "2006-10-15 180.353373 0.003437 5.069112 \n", - "2006-10-16 190.753002 0.003852 3.643004 \n", - "2006-10-17 188.902233 0.002838 -2.503130 \n", - "\n", - " total_precipitation wind_u wind_v \n", - "Date \n", - "2006-10-13 0.025121 -2.033486 0.793636 \n", - "2006-10-14 0.014288 -0.926827 -2.149881 \n", - "2006-10-15 0.004031 1.443303 -2.045946 \n", - "2006-10-16 0.001124 4.436657 -0.672672 \n", - "2006-10-17 0.004309 1.149626 -2.636144 \n", - "\n", - "[5 rows x 24 columns]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#all of the NaN values here should be 0, fill them\n", "Hydro_df = Hydro_df.fillna(0)\n", @@ -1290,260 +411,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cmsTUM_SWE_cmDAN_SWE_cmSLI_SWE_cmdayl_sprcp_mm_daysrad_W_m2swe_cmtmax_C...Developed,_Medium_IntensityDeveloped,_High_IntensityBarren_Land_Rock_Sand_ClayDeciduous_ForestEvergreen_ForestMixed_ForestShrub_ScrubGrassland_HerbaceousWoody_WetlandsEmergent_Herbaceous_Wetlands
Date
2006-10-13112747900.6116430.00.00.039849.510.0335.150.012.52...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2006-10-14112747900.5635040.00.00.039705.430.0368.370.012.76...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2006-10-15112747900.5380190.00.00.039562.000.0402.910.015.72...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2006-10-16112747900.5040390.00.00.039419.270.0342.840.09.39...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2006-10-17112747900.4813860.00.00.039277.270.0327.940.05.66...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
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5 rows × 45 columns

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" - ], - "text/plain": [ - " site_no flow_cms TUM_SWE_cm DAN_SWE_cm SLI_SWE_cm dayl_s \\\n", - "Date \n", - "2006-10-13 11274790 0.611643 0.0 0.0 0.0 39849.51 \n", - "2006-10-14 11274790 0.563504 0.0 0.0 0.0 39705.43 \n", - "2006-10-15 11274790 0.538019 0.0 0.0 0.0 39562.00 \n", - "2006-10-16 11274790 0.504039 0.0 0.0 0.0 39419.27 \n", - "2006-10-17 11274790 0.481386 0.0 0.0 0.0 39277.27 \n", - "\n", - " prcp_mm_day srad_W_m2 swe_cm tmax_C ... \\\n", - "Date ... \n", - "2006-10-13 0.0 335.15 0.0 12.52 ... \n", - "2006-10-14 0.0 368.37 0.0 12.76 ... \n", - "2006-10-15 0.0 402.91 0.0 15.72 ... \n", - "2006-10-16 0.0 342.84 0.0 9.39 ... \n", - "2006-10-17 0.0 327.94 0.0 5.66 ... \n", - "\n", - " Developed,_Medium_Intensity Developed,_High_Intensity \\\n", - "Date \n", - "2006-10-13 0.008978 0.006413 \n", - "2006-10-14 0.008978 0.006413 \n", - "2006-10-15 0.008978 0.006413 \n", - "2006-10-16 0.008978 0.006413 \n", - "2006-10-17 0.008978 0.006413 \n", - "\n", - " Barren_Land_Rock_Sand_Clay Deciduous_Forest Evergreen_Forest \\\n", - "Date \n", - "2006-10-13 8.326386 0.01026 37.994588 \n", - "2006-10-14 8.326386 0.01026 37.994588 \n", - "2006-10-15 8.326386 0.01026 37.994588 \n", - "2006-10-16 8.326386 0.01026 37.994588 \n", - "2006-10-17 8.326386 0.01026 37.994588 \n", - "\n", - " Mixed_Forest Shrub_Scrub Grassland_Herbaceous Woody_Wetlands \\\n", - "Date \n", - "2006-10-13 0.002565 45.493722 5.055856 0.638715 \n", - "2006-10-14 0.002565 45.493722 5.055856 0.638715 \n", - "2006-10-15 0.002565 45.493722 5.055856 0.638715 \n", - "2006-10-16 0.002565 45.493722 5.055856 0.638715 \n", - "2006-10-17 0.002565 45.493722 5.055856 0.638715 \n", - "\n", - " Emergent_Herbaceous_Wetlands \n", - "Date \n", - "2006-10-13 1.233824 \n", - "2006-10-14 1.233824 \n", - "2006-10-15 1.233824 \n", - "2006-10-16 1.233824 \n", - "2006-10-17 1.233824 \n", - "\n", - "[5 rows x 45 columns]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#add in the basin info as columns in the dataframe, repeat the values for each row\n", "for col in basin_info.columns:\n", @@ -1554,1070 +424,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cmsTUM_SWE_cmDAN_SWE_cmSLI_SWE_cmdayl_sprcp_mm_daysrad_W_m2swe_cmtmax_C...Developed,_Medium_IntensityDeveloped,_High_IntensityBarren_Land_Rock_Sand_ClayDeciduous_ForestEvergreen_ForestMixed_ForestShrub_ScrubGrassland_HerbaceousWoody_WetlandsEmergent_Herbaceous_Wetlands
Date
2019-03-01112747906.90929974.42282.296122.93640066.1714.08280.1540.5053.27...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-021127479011.07186975.18483.058124.46040211.7628.55185.5940.3711.44...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-031127479010.61880078.48686.868128.52440357.900.00477.8140.3203.90...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-04112747909.85424678.23286.868128.77840504.550.00584.5340.3205.98...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-051127479010.44889978.23286.614129.03240651.6923.06278.8140.2791.48...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-061127479012.82751080.77289.408132.33440799.2819.66202.1440.2100.18...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-071127479010.90196883.31292.456135.89040947.307.76429.4540.9861.75...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-08112747908.91979283.56692.710136.65241095.720.00516.4940.986-3.42...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-09112747907.56058683.31292.710136.90641244.503.88460.7241.375-1.31...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-10112747906.90929983.82092.710137.66841393.630.00674.8441.375-1.06...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-11112747906.28633083.56692.456137.92241543.060.00670.5041.3751.31...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-12112747906.14474683.82092.710138.17641692.782.81517.1541.6555.47...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-13112747905.91821183.82092.456138.68441842.760.00699.6141.6550.52...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-14112747905.66336083.56692.456138.68441992.970.00733.0341.6555.77...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-15112747905.80494483.82092.202138.68442143.380.00702.7241.6557.50...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-16112747906.22969683.56691.948138.68442293.980.00686.9841.6559.69...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-17112747907.07920081.78891.694139.19242444.720.00653.9941.59210.09...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-18112747907.81543782.80491.440139.19242595.590.00585.9641.4489.36...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-19112747908.52335783.31291.440139.44642746.567.29399.0941.3416.99...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-20112747909.48612884.07492.456140.46242897.616.42328.5141.3042.80...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-21112747908.32513983.82092.456140.97043048.712.33358.2441.2952.70...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-22112747907.58890284.07492.710141.47843199.834.19486.6741.7144.11...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-23112747907.84375484.07492.710141.98643350.964.22343.9942.1361.51...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-24112747906.99425084.58292.964143.51043502.060.00755.2342.1367.89...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-25112747906.79603285.09092.964143.76443653.110.00583.9342.0496.76...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2019-03-26112747907.07920084.83693.218143.76443804.080.00408.2041.8286.05...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
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"2019-03-17 0.00 653.99 41.592 10.09 ... \n", - "2019-03-18 0.00 585.96 41.448 9.36 ... \n", - "2019-03-19 7.29 399.09 41.341 6.99 ... \n", - "2019-03-20 6.42 328.51 41.304 2.80 ... \n", - "2019-03-21 2.33 358.24 41.295 2.70 ... \n", - "2019-03-22 4.19 486.67 41.714 4.11 ... \n", - "2019-03-23 4.22 343.99 42.136 1.51 ... \n", - "2019-03-24 0.00 755.23 42.136 7.89 ... \n", - "2019-03-25 0.00 583.93 42.049 6.76 ... \n", - "2019-03-26 0.00 408.20 41.828 6.05 ... \n", - "2019-03-27 25.39 246.40 41.720 1.84 ... \n", - "2019-03-28 0.00 471.78 41.720 1.50 ... \n", - "2019-03-29 0.00 713.86 41.720 3.95 ... \n", - "2019-03-30 0.00 740.84 41.720 6.55 ... \n", - "2019-03-31 0.00 714.94 41.710 10.11 ... \n", - "2019-04-01 8.13 443.96 41.580 8.73 ... \n", - "\n", - " Developed,_Medium_Intensity Developed,_High_Intensity \\\n", - "Date \n", - "2019-03-01 0.008978 0.006413 \n", - "2019-03-02 0.008978 0.006413 \n", - "2019-03-03 0.008978 0.006413 \n", - "2019-03-04 0.008978 0.006413 \n", - "2019-03-05 0.008978 0.006413 \n", - "2019-03-06 0.008978 0.006413 \n", - "2019-03-07 0.008978 0.006413 \n", - "2019-03-08 0.008978 0.006413 \n", - "2019-03-09 0.008978 0.006413 \n", - "2019-03-10 0.008978 0.006413 \n", - "2019-03-11 0.008978 0.006413 \n", - "2019-03-12 0.008978 0.006413 \n", - "2019-03-13 0.008978 0.006413 \n", - "2019-03-14 0.008978 0.006413 \n", - "2019-03-15 0.008978 0.006413 \n", - "2019-03-16 0.008978 0.006413 \n", - "2019-03-17 0.008978 0.006413 \n", - "2019-03-18 0.008978 0.006413 \n", - "2019-03-19 0.008978 0.006413 \n", - "2019-03-20 0.008978 0.006413 \n", - "2019-03-21 0.008978 0.006413 \n", - "2019-03-22 0.008978 0.006413 \n", - "2019-03-23 0.008978 0.006413 \n", - "2019-03-24 0.008978 0.006413 \n", - "2019-03-25 0.008978 0.006413 \n", - "2019-03-26 0.008978 0.006413 \n", - "2019-03-27 0.008978 0.006413 \n", - "2019-03-28 0.008978 0.006413 \n", - "2019-03-29 0.008978 0.006413 \n", - "2019-03-30 0.008978 0.006413 \n", - "2019-03-31 0.008978 0.006413 \n", - "2019-04-01 0.008978 0.006413 \n", - "\n", - " Barren_Land_Rock_Sand_Clay Deciduous_Forest Evergreen_Forest \\\n", - "Date \n", - "2019-03-01 8.326386 0.01026 37.994588 \n", - "2019-03-02 8.326386 0.01026 37.994588 \n", - "2019-03-03 8.326386 0.01026 37.994588 \n", - "2019-03-04 8.326386 0.01026 37.994588 \n", - "2019-03-05 8.326386 0.01026 37.994588 \n", - "2019-03-06 8.326386 0.01026 37.994588 \n", - "2019-03-07 8.326386 0.01026 37.994588 \n", - "2019-03-08 8.326386 0.01026 37.994588 \n", - "2019-03-09 8.326386 0.01026 37.994588 \n", - "2019-03-10 8.326386 0.01026 37.994588 \n", - "2019-03-11 8.326386 0.01026 37.994588 \n", - "2019-03-12 8.326386 0.01026 37.994588 \n", - "2019-03-13 8.326386 0.01026 37.994588 \n", - "2019-03-14 8.326386 0.01026 37.994588 \n", - "2019-03-15 8.326386 0.01026 37.994588 \n", - "2019-03-16 8.326386 0.01026 37.994588 \n", - "2019-03-17 8.326386 0.01026 37.994588 \n", - "2019-03-18 8.326386 0.01026 37.994588 \n", - "2019-03-19 8.326386 0.01026 37.994588 \n", - "2019-03-20 8.326386 0.01026 37.994588 \n", - "2019-03-21 8.326386 0.01026 37.994588 \n", - "2019-03-22 8.326386 0.01026 37.994588 \n", - "2019-03-23 8.326386 0.01026 37.994588 \n", - "2019-03-24 8.326386 0.01026 37.994588 \n", - "2019-03-25 8.326386 0.01026 37.994588 \n", - "2019-03-26 8.326386 0.01026 37.994588 \n", - "2019-03-27 8.326386 0.01026 37.994588 \n", - "2019-03-28 8.326386 0.01026 37.994588 \n", - "2019-03-29 8.326386 0.01026 37.994588 \n", - "2019-03-30 8.326386 0.01026 37.994588 \n", - "2019-03-31 8.326386 0.01026 37.994588 \n", - "2019-04-01 8.326386 0.01026 37.994588 \n", - "\n", - " Mixed_Forest Shrub_Scrub Grassland_Herbaceous Woody_Wetlands \\\n", - "Date \n", - "2019-03-01 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-02 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-03 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-04 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-05 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-06 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-07 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-08 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-09 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-10 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-11 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-12 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-13 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-14 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-15 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-16 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-17 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-18 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-19 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-20 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-21 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-22 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-23 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-24 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-25 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-26 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-27 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-28 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-29 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-30 0.002565 45.493722 5.055856 0.638715 \n", - "2019-03-31 0.002565 45.493722 5.055856 0.638715 \n", - "2019-04-01 0.002565 45.493722 5.055856 0.638715 \n", - "\n", - " Emergent_Herbaceous_Wetlands \n", - "Date \n", - "2019-03-01 1.233824 \n", - "2019-03-02 1.233824 \n", - "2019-03-03 1.233824 \n", - "2019-03-04 1.233824 \n", - "2019-03-05 1.233824 \n", - "2019-03-06 1.233824 \n", - "2019-03-07 1.233824 \n", - "2019-03-08 1.233824 \n", - "2019-03-09 1.233824 \n", - "2019-03-10 1.233824 \n", - "2019-03-11 1.233824 \n", - "2019-03-12 1.233824 \n", - "2019-03-13 1.233824 \n", - "2019-03-14 1.233824 \n", - "2019-03-15 1.233824 \n", - "2019-03-16 1.233824 \n", - "2019-03-17 1.233824 \n", - "2019-03-18 1.233824 \n", - "2019-03-19 1.233824 \n", - "2019-03-20 1.233824 \n", - "2019-03-21 1.233824 \n", - "2019-03-22 1.233824 \n", - "2019-03-23 1.233824 \n", - "2019-03-24 1.233824 \n", - "2019-03-25 1.233824 \n", - "2019-03-26 1.233824 \n", - "2019-03-27 1.233824 \n", - "2019-03-28 1.233824 \n", - "2019-03-29 1.233824 \n", - "2019-03-30 1.233824 \n", - "2019-03-31 1.233824 \n", - "2019-04-01 1.233824 \n", - "\n", - "[32 rows x 45 columns]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "#take a look around peak SWE to make sure we have snotel values, early season can be tricky to assess\n", "Hydro_df.loc['2019-03-01':'2019-04-01']" @@ -2625,260 +434,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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site_noflow_cmsTUM_SWE_cmDAN_SWE_cmSLI_SWE_cmdayl_sprcp_mm_daysrad_W_m2swe_cmtmax_C...Developed,_Medium_IntensityDeveloped,_High_IntensityBarren_Land_Rock_Sand_ClayDeciduous_ForestEvergreen_ForestMixed_ForestShrub_ScrubGrassland_HerbaceousWoody_WetlandsEmergent_Herbaceous_Wetlands
Date
2021-09-12112747900.2367280.00.00.044482.490.0455.380.022.28...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2021-09-13112747900.3029900.00.00.044332.180.0486.880.022.73...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2021-09-14112747900.2752390.00.00.044181.670.0447.480.022.50...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2021-09-15112747900.2511700.00.00.044031.000.0424.990.021.18...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
2021-09-16112747900.2239860.00.00.043880.190.0420.080.019.71...0.0089780.0064138.3263860.0102637.9945880.00256545.4937225.0558560.6387151.233824
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5 rows × 45 columns

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" - ], - "text/plain": [ - " site_no flow_cms TUM_SWE_cm DAN_SWE_cm SLI_SWE_cm dayl_s \\\n", - "Date \n", - "2021-09-12 11274790 0.236728 0.0 0.0 0.0 44482.49 \n", - "2021-09-13 11274790 0.302990 0.0 0.0 0.0 44332.18 \n", - "2021-09-14 11274790 0.275239 0.0 0.0 0.0 44181.67 \n", - "2021-09-15 11274790 0.251170 0.0 0.0 0.0 44031.00 \n", - "2021-09-16 11274790 0.223986 0.0 0.0 0.0 43880.19 \n", - "\n", - " prcp_mm_day srad_W_m2 swe_cm tmax_C ... \\\n", - "Date ... \n", - "2021-09-12 0.0 455.38 0.0 22.28 ... \n", - "2021-09-13 0.0 486.88 0.0 22.73 ... \n", - "2021-09-14 0.0 447.48 0.0 22.50 ... \n", - "2021-09-15 0.0 424.99 0.0 21.18 ... \n", - "2021-09-16 0.0 420.08 0.0 19.71 ... \n", - "\n", - " Developed,_Medium_Intensity Developed,_High_Intensity \\\n", - "Date \n", - "2021-09-12 0.008978 0.006413 \n", - "2021-09-13 0.008978 0.006413 \n", - "2021-09-14 0.008978 0.006413 \n", - "2021-09-15 0.008978 0.006413 \n", - "2021-09-16 0.008978 0.006413 \n", - "\n", - " Barren_Land_Rock_Sand_Clay Deciduous_Forest Evergreen_Forest \\\n", - "Date \n", - "2021-09-12 8.326386 0.01026 37.994588 \n", - "2021-09-13 8.326386 0.01026 37.994588 \n", - "2021-09-14 8.326386 0.01026 37.994588 \n", - "2021-09-15 8.326386 0.01026 37.994588 \n", - "2021-09-16 8.326386 0.01026 37.994588 \n", - "\n", - " Mixed_Forest Shrub_Scrub Grassland_Herbaceous Woody_Wetlands \\\n", - "Date \n", - "2021-09-12 0.002565 45.493722 5.055856 0.638715 \n", - "2021-09-13 0.002565 45.493722 5.055856 0.638715 \n", - "2021-09-14 0.002565 45.493722 5.055856 0.638715 \n", - "2021-09-15 0.002565 45.493722 5.055856 0.638715 \n", - "2021-09-16 0.002565 45.493722 5.055856 0.638715 \n", - "\n", - " Emergent_Herbaceous_Wetlands \n", - "Date \n", - "2021-09-12 1.233824 \n", - "2021-09-13 1.233824 \n", - "2021-09-14 1.233824 \n", - "2021-09-15 1.233824 \n", - "2021-09-16 1.233824 \n", - "\n", - "[5 rows x 45 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Hydro_df.tail()" ] @@ -2887,7 +445,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Data Exploration Exercise #1\n", + "## Data Exploration Exercise\n", "\n", "Use the combined data frame you created for a **USGS NWIS site other than the example** to explore different data and relationships. Select a single water year (October - September) to explore the following relationships:\n", "* Streamflow and SWE (e.g., Daymet and SWE from Snotel)\n", @@ -2898,20 +456,6 @@ "In markdown below each figure, write a few sentences describing the relationships and anything that is unexpected. This exercise prepares you for HW#2.\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Exploration Exercise #2\n", - "\n", - "Develop a Python script (.py) that you can run in the terminal that collects, processes, and saves your dataframes and a few select figures of interest." - ] - }, { "cell_type": "markdown", "metadata": {}, diff --git a/cache/aiohttp_cache.sqlite b/cache/aiohttp_cache.sqlite index 0323d3e26877ac022bd8c5185c8c722f0c038676..6917d5680665c0ce6feae629e21bc30c0e419fb4 100644 GIT binary patch delta 104931 zcmb5X34B(?_3)n?k|%qfgdH~mDu|Hy>lJ_cO2Z zzUzJ6`=gVH6Nq|4aB`GP{kN4xxb?2s}Sap4QrK&gos_jGDi+j=R(-37{ic(S< z@`s(tKl9JvPeFGY|M7JGbw-bD@847Uq}`H|UYP%dcVX7t^apY}<=vh!F!u>hpX|YD zw`9DQIoY!ebWE*ob=Yy(;5rUF7pg7OIw;}t=d_XYn57q8Xq{j%o^BufWM`U zeR`Ey7d6i5Rpz|NyUaSj@mBu!Z+wlv@x~74lr_Z6n-O1C zRWMvtRTYTVL@T3#V7w+8sf*S|!jVw8I$9SCMq`zgwN;gYa4Zn@`-8E7zb@#jiv}vI 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