CMIP6_plot_seasonal_light.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "\n",
    "import warnings\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.style.use('default')\n",
    "import os, sys\n",
    "from shapely.geometry import mapping\n",
    "import geopandas as gpd\n",
    "import texttable\n",
    "import global_land_mask\n",
    "import cartopy.crs as ccrs\n",
    "sys.path.append(\"../CMIP6-downscale/\")\n",
    "from CMIP6_ridgeplot import CMIP6_ridgeplot\n",
    "from xclim import ensembles\n",
    "from datetime import datetime\n",
    "import seaborn as sns\n",
    "from CMIP6_IO import CMIP6_IO\n",
    "\n",
    "import pyproj\n",
    "pyproj.datadir.set_data_dir(\"/home/sam/miniconda3/envs/actea-3.9/share/proj/\")\n",
    "pyproj.datadir.get_data_dir()\n",
    "plt.style.use('default')\n",
    "sns.set(font_scale=1.1, style=\"whitegrid\")\n",
    "io = CMIP6_IO()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Plot PAR as either monthly distributions per time periods (e.g. 1993-2010), or plot heatmaps showing the difference in PAR for an area per month and how the values change into the future.\n",
    "\n",
    "FRA to SFO 26.10.2022, modified 20.04.2023\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def get_LME_records():\n",
    "    lme_file = \"gs://actea-shared/Shapefiles/LME66/LMEs66.shp\"\n",
    "    return gpd.read_file(lme_file)\n",
    "\n",
    "\n",
    "def get_LME_records_180():\n",
    "    lme_file = \"gs://actea-shared/Shapefiles/LME66_180/LME66_180.shp\"\n",
    "    return gpd.read_file(lme_file)\n",
    "\n",
    "\n",
    "def create_colors(N):\n",
    "    color = iter(cm.tab20b(np.linspace(0, 1, N)))\n",
    "    return [next(color) for c in range(N)]\n",
    "\n",
    "    \n",
    "def get_data_within_LME(ds, LME, var_name):\n",
    "    # Extract the polygon defining the boundaries of the LME\n",
    "    #if LME==\"Barents Sea\":\n",
    "    shdf = get_LME_records()\n",
    "    #elif LME==\"Northern Bering - Chukchi Seas\":\n",
    "    #    shdf = get_LME_records_180()\n",
    "    #else:\n",
    "    #    raise ValueError(\"LME not found\")\n",
    "    \n",
    "    shdf_sel = shdf[shdf[\"LME_NAME\"] == LME]\n",
    "    clipped = None\n",
    "\n",
    "    ds = ds.rio.write_crs(\"epsg:4326\", inplace=True)\n",
    "    ds = ds.rio.set_spatial_dims(\n",
    "            x_dim=\"lon\", y_dim=\"lat\", inplace=True\n",
    "        )\n",
    "\n",
    "    clipped = ds.rio.clip(geometries=shdf_sel.geometry.apply(mapping), crs=ds.rio.crs)\n",
    "    area_calc = shdf_sel['geometry'].to_crs({'proj':'cea'})\n",
    "  \n",
    "    print(f\"Total area of LME {LME} in km2 {area_calc.area / 10**6}\")\n",
    "    # Rioxarray requires x and y dimensions - we convert these back to lon and lat later.\n",
    "    # We also add the projection (lat-lon) so that rioxarray can do the clipping of the data according to the\n",
    "    # shapefile.\n",
    "   \n",
    "    clipped = clipped.fillna(0.0)\n",
    "    always_zero = ~(clipped[var_name].any(dim='time') != 0)\n",
    "    masked_da = clipped.where(~always_zero)\n",
    "    return masked_da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def convert_to_180(ds):\n",
    "    if len(ds.lon.dims) == 2: \n",
    "        ds=(ds.assign_coords(x=(((ds.x + 180) % 360) - 180))).sortby('x')\n",
    "     \n",
    "        ds=ds.assign_coords(y=ds.lat[:,0].values, x=ds.x)\n",
    "        ds = ds.drop([\"lat\",\"lon\"])\n",
    "        ds=ds.rename({\"y\":\"lat\", \"x\":\"lon\"})\n",
    "    else:\n",
    "        ds=(ds.assign_coords(lon=(((ds.lon + 180) % 360) - 180))).sortby('lon') \n",
    "    return ds\n",
    "\n",
    "def convert_time(ds):\n",
    "    if not ds.indexes[\"time\"].dtype in [\"datetime64[ns]\"]:\n",
    "        time_objects = ds.indexes[\"time\"].to_datetimeindex()\n",
    "        ds = ds.assign_coords({\"time\": time_objects})\n",
    "        ds = xr.decode_cf(ds)\n",
    "\n",
    "    return ds\n",
    "\n",
    "\n",
    "def create_land_ocean_mask(cmip6_grid: xr.Dataset) -> xr.DataArray:\n",
    "    print(\"[create_land_ocean_mask] Running create_land_ocean_mask\")\n",
    "    lon = cmip6_grid.lon.values\n",
    "    lat = cmip6_grid.lat.values\n",
    "    lon_180 = xr.where(lon > 180, lon - 360, lon)\n",
    "    lon_grid, lat_grid = np.meshgrid(lon_180, lat)\n",
    "    mask_data = global_land_mask.globe.is_ocean(lat_grid, lon_grid).astype(int)\n",
    "\n",
    "    return xr.DataArray(mask_data, coords={\"lat\": lat, \"lon\": lon}, dims=[\"lat\", \"lon\"])\n",
    "\n",
    "\n",
    "def get_area_averaged_ds(ds, model, scenario, ensemble_id, var_name, LME, models_dict, start_time, end_time):\n",
    "    if isinstance(ds, xr.Dataset): \n",
    "        var_name_mean = f\"{var_name}_mean\"\n",
    "        ds = convert_to_180(ds)\n",
    "        ds = ds.sel(time=slice(start_time, end_time))\n",
    "        ds = convert_time(ds)\n",
    "\n",
    "        # Convert from kg/m-3 to mg/m-3\n",
    "        if var_name==\"chl\":\n",
    "            ds[f\"{var_name}_mean\"] = ds[f\"{var_name}_mean\"] * 1.0e6\n",
    "        \n",
    "        ds_lme = get_data_within_LME(ds, LME, var_name_mean)\n",
    "        ds_lme[\"mask\"] = create_land_ocean_mask(ds_lme.isel(time=0))\n",
    "        ds_lme = ds_lme.where(ds_lme.mask == 1)\n",
    "      \n",
    "        \n",
    "        model_info = {}\n",
    "        model_info[\"model_name\"] = model\n",
    "        model_info[\"model_scenario\"] = scenario\n",
    "        model_info[\"model_ensemble_id\"] = ensemble_id\n",
    "        model_info[\"model_var\"] = var_name\n",
    "        model_info[\"LME\"] = LME\n",
    "        key = \"{}_{}_{}_{}\".format(model, ensemble_id, scenario, var_name)\n",
    "        models_dict[key] = model_info\n",
    "        return models_dict, ds_lme\n",
    "    else:\n",
    "        return models_dict, None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def create_summary_table(dict_of_models, LME):\n",
    "    table = texttable.Texttable()\n",
    "    table.set_cols_align([\"c\", \"c\", \"c\", \"c\", \"c\", \"c\", \"c\"])\n",
    "    table.set_cols_valign([\"t\", \"t\", \"m\", \"m\", \"m\", \"m\", \"b\"])\n",
    "\n",
    "    table.header([\"LME\", \"Model\", \"Scenario\", \"ID\", \"Var\", \"CMIP6 min\", \"CMIP6 max\"])\n",
    "    for key in dict_of_models.keys():\n",
    "        model = dict_of_models[key]\n",
    "\n",
    "        table.add_row([LME,\n",
    "                       model[\"model_name\"],\n",
    "                       model[\"model_scenario\"],\n",
    "                       model[\"model_ensemble_id\"],\n",
    "                       str(model[\"model_var\"]),\n",
    "                       str(model[\"model_var\"]),\n",
    "                       str(model[\"model_var\"])])\n",
    "\n",
    "    table.set_cols_width([30, 30, 20, 20, 10, 10, 10])\n",
    "    print(table.draw() + \"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp245/ensemble/CMIP6_ensemble_stats_ssp245_par_weighted.nc\n",
      "Total area of LME Barents Sea in km2 53    2.003064e+06\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for par_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAewAAAH1CAYAAAA0880zAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAADd3klEQVR4nOzdd1hT1xvA8W8SCGGDshQVJ7hwK+5ZR9171PFz1dY66qyj1lZba621dbd1171bce+BeysuEFEEB0P2DCT5/ZGKxgRNEI3a83kenjb3nnPek4B57zn33HslGo1GgyAIgiAI7zSpuTsgCIIgCMKriYQtCIIgCO8BkbAFQRAE4T0gErYgCIIgvAdEwhYEQRCE94BI2IIgCILwHhAJWxAEQRDeAyJhC4IgCMJ7QCRsQRAEQXgPiIQtCIIgCO8BC3N3QBAEQRDM7erVq/j7+3PmzBkiIiKwtbWlXLlyDB06FF9fX52yMTExzJgxg2PHjqFUKvH19eWrr76ifPnyeu0GBgYyc+ZMAgMDkcvlNGjQgHHjxpE/f36T+ygR9xIXBEEQ/uuGDx/OhQsXaNGiBT4+PiQmJrJx40bCw8P5448/aNCgAQDp6el06tSJmJgY+vbti4ODA2vXruXhw4ds2rSJkiVLZrcZEhJCly5d8PT0pEePHiQmJrJ8+XLc3NzYvHkzCoXCpD6KhC0IgiD85128eJHy5csjl8uztyUkJNCqVStcXV35+++/AVixYgXTp09nzZo1VKtWDYC4uDhatGhB1apVWbhwYXb9wYMHc/nyZXbv3o2TkxMAZ86coU+fPkyYMIG+ffua1EdxDlsQBEH4z6tSpYpOsgZwdHTEz8+PkJCQ7G27du2idOnS2ckawNnZmdatW3Ps2DGSk5MBSE5OJiAggNatW2cnawA/Pz+8vb3ZvXu3yX0U57AFQRCED0aTJk1euv/gwYMmtRcVFYWzszMAarWaW7du0a5dO71yFSpUYPXq1dy+fZvKlSsTHBxMZmYmFSpUMFh2+/btqNVqpFLjx80iYQuCIAhmZSH3zLO2GtQrnWdtXbhwgXPnzmVPXcfHx5ORkYGrq6teWTc3N0Cb4J//b05lMzIySEhIyD4YMIZI2B+gzJhQs8S1dCkuYv8H4orY/63Yli7F33rM12HqCDonT548YcyYMRQsWJChQ4cCkJGRAaA3dQ5gZWUFaBelPf/fl5V92p6xRMIWBEEQzEpi7g68IDk5mU8//ZSUlBRWr16NnZ0d8CzRKpVKvTpPk+/Tld9P//uysk/bM5ZI2IIgCIJZSSTvTspOT09n8ODBhIaGsmzZMry9vbP3OTk5IZfLiY6O1qv3dAr86dT406nwnMpaWVnh6OhoUt/EKnFBEATBrCQSSZ79vI7MzEyGDx/OpUuXmDt3LlWqVNHZL5VKKVOmDFevXtWre/XqVSwtLSlVqhQAPj4+WFpa5li2TJkyJi04A5GwBUEQBAG1Ws2YMWMICAhgxowZ1K9f32C5Fi1acOvWLc6fP5+9LS4ujh07dlC3bt3s6XM7Ozvq1q3Ljh07SEhIyC575swZgoODadGihcl9FFPigiAIgllJ3oGz2DNmzGDPnj3UqVOHrKwstm3bprP/6aVcPXr0YNOmTQwZMoR+/fphb2/P2rVrUSqVjBo1SqfOqFGj6Nq1Kz179qRHjx4kJSWxbNkySpQoQffu3U3uo0jYgiAIglm9C+ewb9y4AcCJEyc4ceKE3v6nCdva2pqVK1cyY8YMli1bln0v8enTp+uc7wbw9vZm5cqVzJw5k5kzZyKXy6lfvz7jxo3D2tra5D6+Fwl769atTJgwgQ0bNlCpUiVzd0cQBEH4wKxatcrosq6urvzyyy9Gla1QoYJJbb/Me5GwBUEQhA+X9B0YYb8PRMJ+y9LT001+QosgCMKH7F04h/0+eC9Xid+6dYvx48fz0Ucf4evrS82aNRk1ahSPHj3SKbd161Z8fHw4f/48v/76K3Xr1qVChQr079+f8PBwnbKNGzdm/PjxerHGjx9P48aNdbYtXbqU7t274+fnh6+vL23atGHTpk16dRs3bsyAAQM4ffo0Xbt2xdfXl8WLFzN69Gj8/PzIzMzUqzN8+PDsRQ+CIAiC8NR7OcI+efIkoaGhtG3bFg8PD8LCwli/fj2BgYFs375dbwT7448/olAoGDRoEHFxcSxbtoyxY8eyfv36XMVfsWIF9evX5+OPP0YikbB//34mTZqEWq2mW7duOmXv37/P8OHD6dy5M506daJAgQJUqVKFHTt2cOzYMZ0b1SclJXHkyBG6d++OhcV7+asRBEEwmZgSN857mRV69OhB//79dbY1atSInj17sm/fPtq2bauzz8bGhpUrV2ZfpO7o6Mj06dO5fft29kXupti3b5/OCr8+ffrQr18/li5dajBhL1y4UCcxq9VqPDw88Pf319m+Z88eMjIyDD4JRhAE4UP1LqwSfx+8l1PizyfLlJQU4uLiKF68OA4ODly/fl2vfLdu3XTuKFOjRg0AvWlxU+NnZmYSHx9PbGwsNWvWJCwsjKSkJJ2yHh4eeo97k0qltG3blsOHD+uU9/f3p2TJkpQrVy5X/RIEQRA+XO/lCDshIYFZs2axd+9e4uPjdfYlJibqlS9YsKDOawcHh+x2cuPAgQMsXLiQW7duoVKpdPYlJSVhb2+f/bpw4cIG22jfvj2LFi1iz549dOnShUePHnHu3Dm9C+8FQRA+dFKx6Mwo72XCHjVqFOfOnaN///6ULVsWW1tbJBIJI0eORKPR6JWXyWQG2zFU9kUvJuQLFy4wdOhQqlatypQpU3Bzc8PS0pKjR4+yYsUK1Gq1TvmcnsZSokQJKlSogL+/P126dGH79u0AtGnT5pV9EgRB+JCIKXHjvHcJOzExkePHjzNs2LDsZ5SC9nFlhkbXxnJ0dDRY/8GDBzqv9+zZg5WVFcuWLdNJxmfOnDE5Zvv27fn+++959OgR/v7+1KhRgwIFCpjeeUEQhPeYWHRmnPfuHPbTc9Evjo4NjW5NUaRIES5fvqzz7NLr169z6dIlnXIymQyJRKITKyEhgS1btpgcs1WrVlhYWDBjxgxu375N+/btc91/QRAE4cP23o2w7ezsqFGjBkuWLCEzM5OCBQty4cIFzp07h5OTU67b7d69O3v27KF///60bNmSyMhINmzYQMmSJUlJScku16hRI5YvX06/fv1o164dCQkJbNy4ERcXF4PPPX0ZJycnGjduzO7du1EoFDRr1izX/RcEQXhfiSlx47wXI+yno+mno+tZs2bRsGFDNmzYwM8//0xiYiJ//fUXtra2uY5Rq1YtJk2axIMHD5g+fToBAQHMmjVLb8W2n58fM2bMICEhgR9//JEtW7bQu3dvevfunau4T0fVH330UfZj2QRBEP5LpEjy7OdDJtEYs/LKzFauXMm0adPYvXs3xYsXN3d38lRAQAADBw5k0aJFNGjQIE/azIwJzZN2TGXpUlzE/g/EFbH/W7EtXd78d667Y+k8aysy4VaetfWueS+mxAMDA1EoFBQqVMjcXclzmzZtwtXVlbp165q7K4IgCGYhpsSN804n7L1793L27Fm2b99Ohw4dkMvl5u5Sntm5cychISHs27ePUaNG5XjpmSAIwodOPPzDOO90wp4xYwYpKSl06tSJiRMnmrs7eWrUqFHY2NjQrl07+vbta+7uCIIgCO+4dzphHzp0yNxdeGOCgoLM3QVBEIR3grgO2zjvdMIWBEEQPnziHLZx3ovLugRBEAThv06MsAVBEASz+tCvn84rImELgiAIZiWmxI0jErYgCIJgVmKEbZz34k5ngiAIwoerWP6KedbW3SdX8qytd40YYX+A/mu3Tvyvxv4vvmcR+8O8NalEItY/G0MkbEEQBMGsxJ3OjCMOawRBEAThPSBG2IIgCIJZiTudGUckbEEQBMGsxJS4ccSUuCAIgiC8B977hL1161Z8fHy4fPmyubsiCIIg5IJUIsmznw+Z2abEt27dyoQJEwzu69atG1OnTn3LPRIEQRDMQUyJG8fs57CHDRtG4cKFdbYVK1bMTL0RBEEQhHeT2RN23bp1qVSpktnip6WlYW1t/dbipaeno1Ao3lo8QRCEd927MpWdkpLC0qVLCQwMJDAwkLi4OEaPHs2gQYN0yjVu3JgHDx4YbMPCwoLr169nv+7duzdnz57VK1elShXWrVtnUv/MnrBfJjAwkPnz53PhwgWUSiXe3t4MGTKERo0a6ZVNT09n6tSp7Ny5E6VSSb169Zg0aRJubm7ZZXr37k10dDSzZ8/mxx9/5OrVq7Ro0YKffvqJxo0bU6NGDX766SeddsePH8/Zs2c5dOhQ9ralS5eyf/9+7t69S2pqKkWLFqVPnz506dJFp27jxo0pVqwYn376Kb/++is3b95k0KBB3Lt3j+PHj3P8+HEsLS116gwfPpwLFy5w9OhRLCze3K/nyIkz/DJvMWqNhv49u9C5bYvsfWnp6Yz6ehoRDx8jk8no0u5jenZp98b6IgjCf9u7MiUeFxfHggUL8PDwoGzZspw4ccJguYkTJ5KSkqKzLSEhgWnTplG3bl298q6urowdO1ZnW/78+U3un9kTdlJSErGxsTrbnJ2dOXfuHAMGDMDb25vBgwcjl8vZtWsXgwcPZu7cuTRr1kynzrRp07CxsWHIkCE8fPiQ1atXc/fuXbZs2YJcLteJN2DAAJo2bUqrVq2wt7c3uc8rVqygfv36fPzxx0gkEvbv38+kSZNQq9V069ZNp+z9+/cZPnw4nTt3plOnThQoUIAqVaqwY8cOjh07RpMmTXT6duTIEbp37/5Gk3VWloqZ8xazbN5P2NnY0KX/MJo2rIOjw7PPon+vLlSvXIHUtHS6DRhOvVrVKVKo4BvrkyAI/13vygjbzc2NY8eO4e7uTkREhM738/M++ugjvW1r164FoG3btnr77OzsaNfu9Qc9Zk/YAwcO1Nt26tQpJk+eTOXKlVmxYgVSqXYxe8+ePenRowc///yzXsIGWLVqVXZyLlmyJF9//TV///23ThKNiYnh66+/pk+fPrnu8759+3Sm0fv06UO/fv1YunSpwYS9cOFCnV+8Wq3Gw8MDf39/ne179uwhIyMjT36xLxN4M4gSxYrg7uoCQL1a1Tlx5gItmzYEwFqhoHrlCgDYWCvwKlSQ6JhYkbAFQfigyeVy3N3dc1XX398fW1vbHJN8VlYW6enp2NnZ5bp/Zk/YkyZNokSJEjrbIiIiuHv3LgMHDiQ+Pl5nX7169Zg3bx4PHjzA09Mze3v37t11RtLt27dnxowZHD16VCeJWlhY6CVVUz1N1pmZmaSkpKBWq6lZsya//vorSUlJOqN2Dw8PvV+gVCqlbdu2/PXXXzrl/f39KVmyJOXKlXut/r1KdMwT3F1csl+7u7oQGR1jsOyjyGiC79yljE/JN9onQRD+u/JySjynhPnUwYMH8yzWU+Hh4Vy6dIkOHToYXKMUERFB5cqVUSqV5MuXj44dO/Lll1/q5CxjmD1h+/r66i0627VrFwBff/11jvWePHmik7C9vLx09ltYWFCoUCEePnyos93NzQ0rK6vX6vOBAwdYuHAht27dQqVS6ex7MWG/uAL+qfbt27No0SL27NlDly5dePToEefOnWPUqFGv1TdjGHqgqqEHyGdkKBkzeTpjhg7ExloslBME4c1435+HvX37dgCDs6OFCxfGz88Pb29v0tLS2L9/P0uWLCEkJIQ///zTpDhmT9iGPH1E9+jRoylfvrzBMsWL6z7yzVDCMfSob1OT9YsJ+cKFCwwdOpSqVasyZcoU3NzcsLS05OjRo6xYsQK1Wm1UvBIlSlChQgX8/f3p0qVL9i+8TZs2JvUvN9xc8xMZ82xEHRkdQ4WyPjplNBoNE3+YRf1a1WnWqN4b75MgCEJeeBMj6FfZvn077u7u+Pn56e378ccfdV63a9eO7777jnXr1nHy5Elq165tdJx3MmE/HZXa2toa/Wbu3btHnTp1sl9nZWXx4MEDqlevblR9R0dHEhMT9ba/uHR/z549WFlZsWzZMp1kfObMGaPiPK99+/Z8//33PHr0CH9/f2rUqEGBAgVMbsdUvmV8CAkNIzI6BjsbGwJOnWNwv090ysz+YznWCis+69vjjfdHEIT/NkMDrvdFYGAgoaGh9O/fP3u91asMGDAgVwn7nbw1afny5SlatCjLli0jKSlJb/+Lq8oB1q9fj1KpzH79zz//kJiYSP369Y2KWaRIES5fvqzTxvXr17l06ZJOOZlMhkQi0RlJJyQksGXLFqPiPK9Vq1ZYWFgwY8YMbt++Tfv27U1uIzcsLGSMHfop/YeNp3O/ofT7pBNOjg4MHv0NUdFPeBwVzdLVmwi8EUSn/w2h0/+GcOLMhbfSN0EQ/nukSPLs523z9/cHDE+H56RgwYJIJBISEhJMivVOjrClUinTpk1j4MCBtGzZkk6dOuHp6UlUVBSXL1/m4cOH7Ny5U69enz59aNWqFQ8ePGD16tWULFmSjh07GhWze/fu7Nmzh/79+9OyZUsiIyPZsGEDJUuW1LnerlGjRixfvpx+/frRrl07EhIS2LhxIy4uLkRHR5v0Pp2cnGjcuDG7d+9GoVAYXPn+pjSqV5NG9WrqbPt91vfZ/3/txO631hdBEIT3kUqlYvfu3Xh7e1O6dGmj60VERKDRaMiXL59J8d7JETZAtWrV2LRpE1WrVmXDhg1MmTKFjRs3IpPJGDZsmF75r7/+mjJlyjB//nw2bNhAw4YNWbZsmdGr8GrVqsWkSZN48OAB06dPJyAggFmzZumt2Pbz82PGjBkkJCTw448/smXLFnr37k3v3r1z9T6fjqo/+uij11ruLwiC8L6SSCR59vM2nTx5kujoaIPXXgMkJyeTlZWls02j0bBw4UJAe9WTKSQaQyuzhLcmICCAgQMHsmjRIho0aJAnbWbGhOZJO6aydCkuYv8H4orY/63Yli7FX13oNdUomDfffQBnHx59rfqrV68mMTGRpKQkli1bRt26dalatSqgvVvm81cBjR07lh07dnD48GE8PDz02jpz5gwTJ07ko48+okiRIiiVSg4ePMi5c+do3bo1s2bNMqlv7+SU+H/Jpk2bcHV1NXg7O0EQhP+Cd+myrmXLluksNn56G2nQ3sXsacJOS0vjwIEDVK9e3WCyBu256vLly7N//36ePHmCRqOhRIkSTJo0iZ49e5rcN5GwzWTnzp2EhISwb98+Ro0ahUwmM3eXBEEQ/vOef27Ey1hbW+stSn5R4cKFmTNnTl50CxAJ22xGjRqFjY0N7dq1o2/fvubujiAIgtm8z5d1vU0iYZtJUFCQubsgCILwTniXpsTfZe/sKnFBEARBEJ4RI2xBEATBrMQI2zgiYQuCIAhmJdK1ccSUuCAIgiC8B8QIWxAEQTArqVglbhRxpzNBEATBrBoVappnbR2O2J9nbb1rxAj7A/Rfu3Xi09ipv35qltg2oxbzsHajtx634MnDXCpi/BOC8lLl+9s44t7FLLEbRm5iulcvs8SeELaa77xMv0NVXvgubA3jir79x93OuLfurccUDBMJWxAEQTArsUrcOCJhC4IgCGYl7nRmHJGwBUEQBLMSI2zjiMu6BEEQBOE9IEbYgiAIgllJxAjbKGKEbSY+Pj5MnjzZ3N0QBEEwO2ke/nzIPtj3t3XrVnx8fPDx8eH06dMGy3Tu3BkfHx9atGjxlnsnCIIgCKb5YBP2U1ZWVmzfvl1v+7179wgMDMTKysoMvRIEQRCekkgkefbzIfvgE3bDhg3Zu3cvSqVSZ7u/vz8uLi6UL18+z2KlpaXlWVuCIAj/FVIkefbzIfvgF521atWK/fv3c/jwYZo3b569fceOHbRs2ZJbt27plN+6dSv+/v7cvn2bhIQEPD096dSpEwMHDkQqfXZ807t3b6Kjo5k9ezY//vgjV69epUWLFvz0009oNBrWrl3Lxo0buXv3LtbW1pQtW5YhQ4ZQrVo1nXhHjx7lt99+486dOxQoUIDhw4fTunXrN/uhAEdOnOGXeYtRazT079mFzm11Tws06/Q/bG1tkEqkuLnk4/dZ37/xPr0xFnIUfaeiCj5P5qntKLqNy94lccxP5kl/si4d1KkicXRF3moQEoUNqrCbZB5cbXJY226dsWnTCiSQcf4iSb8vxvmHb5F5FgSVitR/tpOy+W+9ek7fTsSyeHGQSlBeCSRh1hww8Q7CboPak69rE9BoiFy4hbi/j+LUph4ewzqDREJ60H3CRs1Go8wyWL/oH+OwKuRGUOvRr4xVbvlYnGqXJT7gGtcHzgLAvnJJSs/+AqmVJY83HiXs180AVNr6HXI3J9QZmQCcbzJWrz278kXxnjkIqbUVKTfvc2vYfDRZKoOxO/45giK1yhB24jp/D54LwCfrJ6JwtEVqIePm9tOcmPsPAG3nfoFH+WKos7K4feASR3/eqNdeq18GUdivNMok7cH3xr4zSY6K1yvX7c8RFK1VlrsnrrNx8BwA/rf+a6z/jXt9+2mOztX+bvuu/xo7Vyey/n3Pf7ScqNde+18+w8uvNBn/xl3T92eSDMQF6P3nKIrXLMOdE9dZ/cVsAAatm4S1kx0ymYwrO05xcO5WAErV9aXlxE+QWVgQHHCVHd+v0mvvk/nDcS1eAADbfA5EXL3DykG/GowtmNcHn7Dd3d2pXr0627dvz07YV65cISwsjDZt2ugl7NWrV1OsWDHq1auHQqHg5MmTzJo1i+TkZEaNGqVTNikpiQEDBtC0aVNatWqFvb09AN988w2bNm2idu3adOjQAYCLFy9y/vx5nYR95coVDh48SPfu3encuTObNm1i7NixlClThhIlSryxzyQrS8XMeYtZNu8n7Gxs6NJ/GE0b1sHRwV6n3Jo/fsXGxvqN9eNtsfRrifrRXe2LzAzSV0/N3qcY+BOqO1f069TvROap7ajvXkXe9gukxSqgvnvV6JhSJ0dsO7cnqmc/yFLhsnAOlqVKkrx6PcrLV5AoFLgs+4P0U2dQPXioUzdh5mw0qakAOE+djKJeHdKPHTc6tsLHC+d29Qlqpf17LbnuexIPnafQ5P7cbDocVXwSReePwalFLeL8A/Tq29erCCq10fEeLNnF43WH8OjaMHtbqekDuDF4NqlBEVTeOY2YXWdIuRUOwPWBs7L/3xCfXwcTPH4xSRdDKDy0HR49GvFo1QGDZc+v2MvVjUfx7Vwve9vmgb+hTE5DIpXQe8tkQg5eIvJ6GNe2HMd/+EIkMik91ozHq3ZZwk7e0GvzwLcrCTl0+aXv+cyKfVzaeJRKnetnb1s/8Fcy/o3bf8u3BB28yOPrYQBsHDyHqOCIl7a5+9uVBB+69NIyACdW7OH8xiNU7fQs9l+fzsqOPXjzd9w8eJFHN8Lo9NOn/Nl9KnERMbT/oT+l6vlyOyBQp721Q+dm/3+334YQckJ3/9sgVokb54OfEgdo06YNR44cISEhAdBOhxctWpQKFSrolV2zZg2zZs1iwIAB9OzZkwULFtC5c2dWrVqlN60eExPDZ599xnfffUe3bt1o2bIlZ86cYdOmTXTt2pXly5fTt29f+vbty9y5c/nss8906oeEhLBy5UqGDRtGr169WLp0KTKZjM2bN7+5DwMIvBlEiWJFcHd1wdbWhnq1qnPizIU3GtNcJE5uSPJ5oLqr/yUkLVACTUoCmsQYg/ueJmjVjVPISuj/rbySTIZELgcLGVjIUMXGorysPTjQpKejCo9A5pJfr9rTZI1MisRKDpg2ulaUKkTKhVtoMjLRZGSSdv0uDg2qgASk1lYglSK1tiIzKk6/soUM9yFdeDxXf/SZk/gT11ElPzsdJHd3RmIhI+XGfTQqNVF/Hyd/s6pGt2fl6ULSxRBt28ev4drSL8ey90/dRJmSrrNN+W9fZJYWSC0tePp8o9Cj2t+nRqUm+lY49u7ORvfpRfdO3dCLm/FcXJmlham/NqOFnrpBRoru6bcXY2s0Gmzy2ZORkk5chPbv+87J65RvUSPHdmVyC7zrV+D6vvNvpuMvIVaJG+dDf38AtGjRAolEwt69e8nKymL37t20adPGYFlra+2IUqVSkZCQQGxsLDVq1CA1NZXQUN0HW1hYWNCtWzedbXv37gVgxIgRem2/uCDCz89PZyTt4uJC8eLFiYh4+ZH464qOeYK7i0v2a3dXFyKjdZOWRCLhf0PG0n3gl+w/bPzo7l1jWb8LmQH6084AMp9qqIIMfDkp7CA9JfulJikOqZ1pX+7q+ARS1m7E/e8NePhvJuPcRZ2RtNTNFYuSJcgMum2wvvO07/DYsRV1WjrpASdNip0edB+72r7IHGyROdhiX9sXS/d8hH+ziDL751L+/HJUKWkkn76mV9ft03bEbj6EOiX36zGsPJxRPo7Nfp3x8AlWHs8OTMr8/iVV98+gYN9mhvsf9hjnhhUBcGlZA3mBfCb3offWyQy/uJB7x68RdeO+zj65nTUlGlci7PRNg3Ubf/0J/XdPo97IjibHHbD1W8Ze/J3Q49d4fCMse3unuUP4bOcPVO/9UY51m339CZ/v/pGGIzuZHBfgiy1TmHzhT0JOXOPRjTBSniQit1Xg4VMYiURC2abVcHjJQYpPw0rcv3ib9MTUXMUX3rwPfkocwN7enoYNG7J9+3bc3d158uRJjueJz58/z2+//caVK1fIzMzU2ZeUlKTz2s3NTW+V+f3798mfPz/58+uPnF5UsGBBvW2Ojo7Ex8e/su7rMHQ69MWDiVW/z8LNNT+Po6IZMHwCPqWKU6SQfn/fZbISFdHER6KJj4SC+qcYZCUrk7F+hn5FQ7NzJp5DltjbYVWnFpEde6DJyCD/rzOQV6qA8vJVkFuS7/vJJM7/HU16usH6cV9/BxYWOH0zHqtqVcg4Z/wMSPrtcKKX76Dkuu9RJaWSejUEjUqFyyfNudlsOJmPYyk6ZyTOHRoQ9/fR7HqW7vlwqF+JkB6TkRdyM+n96r55/Q9Q8+9w88bgOSgj47BwsqPC+q9JCYog4ZTutPStEb9Talo/io3vTuzhyzmev36ZVR2nIrdV0OH34bh4FyLmueno1rMGcXHVAZIexerVO/LzRlKi4rFQyGk/fyi+neoRuEX/tEFOlnacgtxWQdffv8TNuxBRwRFsGb6ApKh4rB1t6bVyHFHBEYSd0T0Vd+DnDSRHxWOpkNN5/lAqdqrHFRPiAizs9C1yWwW9fx+Bu3chIoMj2DBiAR2mDUAqk3LvXBBym5yviqnQqiZXdpwyKWZe+dAXi+WV/8QIG7TT4ufOnWPJkiVUqFCBokWL6pUJDw+nf//+JCYmMnHiRP7880+WL1/OmDFjAFCrdc/rGbokTKPRGH1pwfOL2N4mN9f8RMY8G1FHRsfgmj+fXhkADzdX/KpW5NbtO2+1j3lBWqA4Mp/qKAZMR96gMxa+9bCoqT1Qk3qWQpMUiybZwLRwWjIobLNfSuyd0aQkmBTbqlpVVBEP0CQlgVJJ+snTyMuVBcB50gTST50h/fCxlzeSlUX6sRMo6tc1KTbAkzV7CWo1ipDuk1Ars5A52KLJUpH5MAbUauL3nMK2ammdOtbliqEoVZiyJxZRast0FD5eFF/xjcmxMx7FIvd49vdkVTA/ykjt5/z0v1nxyUTvOI1DJf0DqdTgCK50+Z6LLSYQd/gKaXcfm9wHAGVKOmEnb1CiUcXsbY0m9iAtPoWzi3cbrJPy70KvrHQl1/85QYGKxXIV9+7J65T8N+7TxWNpCSnc2H0Wz4rF9eo8XdiWma7k6j8nDZYxNnbIyev4NKwEwL3zQfze+TsWdJjMwxthPLln+LO0sLKkVJ3y3DhgnlNj4rIu4/xnEnbDhg2xt7fn7NmzOU6HHzx4kIyMDP744w8++eQTGjZsSO3atXF0dDQ6jpeXFzExMTx58iSvup7nfMv4EBIaRmR0DCkpqQScOkcdv2fnGFPT0klJ0U6LJSYlc+HyNYp7FTFXd3Mt8/jfpC8eR/rSCSiPbiYrMICs0zsAkHnnMB3+L/WjUKTFtOetZWVroQrVX5j2MqqoKOS+5UBuCVIpVlUqkXU/HPvBn6LJSCd5RQ6rzmVSZB7u2v+XSlHUrklW2H3DZV/CIr/2b9aquCe2lUrxZONBrMsUReaoPRCxr1ORjNAHOnUSD13gWrV+3KgziNudJpAeFEZoX9OvDlBGxoFKjW3ZIkhkUtw61OXJvgtIZFIs82kXNkqtLMnXqBIpQfqLzyzzOwAgkUkpPKxdjgvODJHbWWPzb32Z3IJi9X15EqI9FVG5Z2PcyxZh79fLc6xv6+akjS2VULJJZaKDH+RY9nlWdtbYPhe3RH1fYkIeIpVJsXG2A7RJsWSDCkQZaNPuubjeTSq/coHay2J716tA9B3te366XW5jRe2+zTm38YjBNko3qszdc7f0zsu/LeIctnH+E1PiAHK5nG+//Za7d+/mOB0uk8kAshepACiVSlavNv6SnubNm7NmzRrmzJnD1KlTdfaZMvp+kywsZIwd+in9h41HrVbTv2dnnBwdGDz6G6aMH0GGUsmXE7Vf1Bq1hp5d2lGyuJeZe52XJMhKViZ97TSdrfKmfci6ehR1ZBiZAVuwajUIGnVDff8WqlDTVs5mXr9J+qkzuK5YDGoNGRcuogwKJt+MH8gMvafdDiT+voiMM+dwHD+G1H/8ybxzF+ep3yCxtgaJBOXlq6T87W/yOyy2eCIyR1vUqemEjZlL5sMYIhduwXvrDDQqFelB94lZo11vUXjGUGLW7CHtaojJcQAqrP8aO9/iyGysqHXpD671m8ntiUsp+/sIpApLIjcdI+XmfaQ2VlRYPwmJpQyJVEqU/0li/12NXfSrbiRducOTvedx71Kfgr2bggQerTlI3LGcV+d3W/kVHuWLYmljxZDTc9k2bAEfTe6JzNICiVRC0O5zhBzUrrxuNvV/xIdH09df++/y3PK9BG46Rr1RnXh09S4hBy7Sds5gbJztkcik3D99k8vrDhuM22vlOAqUL4rcxopRp+exedh8WkzulR33xu5zBB+8hKW1Fb1WjUdmIUMik3J9xxlCjmgP/hqN6sTDq3cJOnCRTnO+yI577/RNLuYQF2DAyvEULFcMuY0VE0/NZ+3webT5pk927Gt7znLz4EVtjC/a4dNAO9I/tOCf7ETedGRnIgLvcvPfEXWF1jW5utPwHSGFd4dEozHx5Nx7YuvWrUyYMIENGzZQqVKlHMs9vZ56z5493L17lzZt2lC0aFG6deuGUqlk27ZtSKVSbt68ycqVK/Hz89Or96IJEyawdetW6tSpQ4MGDQC4fPkyPj4+fP7554D2XuLdunXTS+q9e/cGYNUq/esljZUZE/rqQm+ApUtxs8ZO/fVTs8S2GbWYh7UbvfW4BU8e5lKRdm89LkDl+9s44t7FLLEbRm5iulcvs8SeELaa77x6miX2d2FrGFe0x1uPO+Peujceo4tX3v0dbwrblmdtvWv+MyNsYxQrVowFCxbw22+/MXPmTJydnWnfvj01atSgf//+Rrczbdo0fHx82LRpEzNnzsTW1pZy5cpRvXr1N9h7QRCE95NYdGacDzZhd+zYkY4dX31Zxosj2QYNGmSPip8XFBT00nrPk0ql2ddf5+TF9oxpVxAEQfjv+mATtiAIgvB++NAXi+UVkbAFQRAEsxK3JjWOOLARBEEQhPeAGGELgiAIZvWuLDpLSUlh6dKlBAYGEhgYSFxcHKNHj2bQoEE65ebNm8f8+fMNtnH9+nUsLHRTa2BgIDNnziQwMBC5XE6DBg0YN26cUXfEfJ5I2IIgCIJZvRvpGuLi4liwYAEeHh6ULVuWEydOvLT85MmTsbOz09n29H4eT4WEhNCnTx88PT0ZM2YMiYmJLF++nBs3brB582YUCoXR/RMJWxAEQRDQPh/i2LFjuLu7ExERQZMmTV5avlmzZri6ur60zKxZs1AoFKxevRonJycAqlSpQp8+fVi/fv1LryZ6kTiHLQiCIJiVVCLJs5/XIZfLcXd3N7q8RqMhOTlZ7zkTTyUnJxMQEEDr1q2zkzVon9To7e3N7t2G72mfEzHCFgRBEMwqL0eOrxoVHzx4MM9iNW/enNTUVBQKBY0aNWL8+PF4eHhk7w8ODiYzM5MKFSro1a1QoQLbt29HrVYb/SAokbA/QJYuuXvSz/se22bUYrPFLngy53s/v0mV75vvNowNIzeZLfaEMOPv75/XvgtbY7bYb+M2oebwvl3W5eDgQK9evahYsSJWVlZcuHCBtWvXcuXKFbZu3Yqzs/a541FRUQAGp83d3NzIyMggISEhu/yriIT9AcqMNHwXtTfN0t2HtGMrzBLbun5fUmf0M0tsm3HLCSnb/K3HLXljL/vdu731uABNIzew1eMTs8Tu+HgtnxU1z33M/7y3iV5er76D4puwOmwrHb3avvW4W8NMf/iMOeXlCDon//vf/3ReN2/enEqVKjFy5EhWrFjByJEjAUj/93n3crlcr42nj2fOyMgwOq44hy0IgiCY1YfweM2WLVvi6enJqVOnsrc9XQGuVCr1yj9N1E8TtzHECFsQBEEwq/dtSjwnBQoUICYmJvv106nw6OhovbJRUVFYWVnh6OhodPtihC0IgiAIeSAiIkLnfLSPjw+WlpZcvar/TPerV69SpkwZoxecgUjYgiAIgpm9b1Pi8fHxets2b97M48ePqVevXvY2Ozs76taty44dO0hISMjefubMGYKDg2nRooVJccWUuCAIgmBW78qtSQFWr15NYmIiSUlJgDa5ZmVlAdC7d2/s7e1p2rQpTZs2pWTJkigUCi5dusT27dspUaKE3oK0UaNG0bVrV3r27EmPHj1ISkpi2bJllChRgu7du5vUN5GwBUEQBOFfy5Yt48GDB9mvjx8/zvHjxwFo27Yt9vb2tGjRgkuXLrFnzx6USiUFChSgb9++fPHFF3q3KvX29mblypXMnDmTmTNnIpfLqV+/PuPGjcPa2tqkvomEbSZnzpyhT58+rFy5Ej8/P+DZDeWDgsxzWZYgCII5vDvjazh06NAry3z//fcmtVmhQgVWrVqV2y5lE+ewDfj777/x8fGhadOm5u6KIAjCB0+KJM9+PmQiYRvg7++Pp6cn9+/f59KlS28kRvXq1bl69SrVq1d/I+0LgiAIHxaRsF8QFRXF6dOnGTFiBJ6envj75+1dftLS0gCQSqVYWVmZtKRfEAThQ/S+rRI3F3EO+wU7duzAysqKJk2aEBwczKZNm5g4cSKWlpbZZXx8fOjWrRs1a9Zk/vz5hIeHU7RoUUaPHk3Dhg2zy23dupUJEybw119/cfDgQXbt2kVMTAxBQUEGz2G/LcO//pHzlwLxq1qR374fr7MvJTWVPkMnZL9+8CiSIf160Ltru1zFehybyNdLtxOXlIJMKuXT1nWo51uSMX9s5UFMPDKplM71K9OjSTW9uot3nGBLwGXSlZkc+W1EruIDYCFHMXAaqqDzZB7egKxsTSxrtgKJhKzA42Sd3ZNjVXn7L5A4uJCxcqrJYZ36dca+QzPQaIhbsoHk7Yew8vXBbdpoJHJLkrYdIO53/ftSe674GZlLPjT/3h0pvOMXr4xVcflonGuXJTbgGlcH/gaAQ+USlJs9GKmVJY82HiP01y0AONcth/d3vZFIpSij47n62Ryy4lN02is3ZzBOtcqgStIeYF765CcyIuMMxq65bCQutcsSffwaZwbO0fZnel882/iR9uAJh5tP0qvjt+RLbAq7GtxX/pseuDeqqH0SUuhjLgz/HVWa/p2iAD7/cyzeNcty68Q1Fn0xK3u7RCJh3N8/EvswJnv7mI1TUdhpF/k4uefj7LYANk5dYbDdThN7U7tzQ0ZXGWBw/4g/x1GmVjmunwhk7uCZAPx2/A/SklPRqDXERcXyS99pAHwxdwTFypcgK0vFpQPn2Phzzvci7/H1/6jfuRGDK/fNscy4PydQrpYvgSeuMHPwDAD+OL6Y1OQ0NGo1sVGxTOur/Xv9YdN0rG217zmfR34C/jnKsqlLdNob+suXlPUrR1pSqrZO36nERcXmGP9N+FBunPKmiYT9gm3bttGwYUNsbW1p3bo1ixcvJiAggMaNG+uUe7pCsHfv3tja2rJhwwaGDBnCihUr9Ka5f/jhB+zt7fnss8+yLxUwp16dWtOx5Uds26O/uMLWxoYty7RfuhqNhmZdB9Kobu4PKGRSKWO7fUTpIu7EJqbQ/fvl1PMtQb8WtajmU4S0DCWf/LCCOr7FKeKWT6durXLFaF+3Il2mLMmhdeNY1mqN+lGo9oW1HZb1OpC+YgpkpGHVaTiqkMtoYh/r1ZMWLQtqTa5iyksVxa5VQyI6DwGg4LIZpB45g+ukIUSOmY7yThiF1s4mZf9xlCFhevUfj/je4Pac3F+yhwfrDlOwa4PsbaWnDyBw8FxSgiKovvMHInedJeVWOD4/9OXqgF9JvfOIkpM+oVCfptyb+49em0FfryBm/8VXxg5Zupd7647i1e3Z9afhW08Stu4olWfqJzy3+uXRqAw/jhDg1m//cO177UMuyn/Tg2K9mxCyyPBjCA+t2MXJjYeo2amhzvY63RrzJCIKyXMzWL90nZz9/2M3fc/lfWcNtlmgZCEcXZ1y7B/A3hU7ObrxIPU6N9LZPqXjRDJS03W2Hd9ylIXDZyOVSRm/5lvK1i7PjZPX9NosWKoQTq+IC7BzxQ4ObjxAo86630kTO35F+guxJ3V5dvA9bfNPnNl32mCbS79dxIVD518Z+0350EfGeUV8Ts+5ffs2t27dolWrVgCULl2aUqVKGZwWDw4O5o8//mDYsGH079+f9evXY2try6xZs/TKWltbs2rVKvr06cOQIUPe+Pt4lRpVKmBj8+rLCS5fu4VLPmcKFfR4ZdmcuDrZUbqI9vmy+RxscbRVkJCSTjWfIgBYW8kp4u5MzAsjPIDyxQri6mSnt90UEmd3JPkLoLqjvdOQ1MkVTcxDyEgFNKjCg5CVqqJfUSrDsmZrMk9uz1VceYkipF+6iUaZiUaZScatO9jUr4HEQoYy+C6o1CTtPIxto5qv8e6eiTtxHVXysy9rK3dnJBZSkm/cR6NS8/jv47g2q6rdqdFg8e9I08JWkePI2VgxJ26QlZKmsy32XDDKOP2DU4mFDJ8v23Hrt39ybC8r+VlbFrYKNJqcD5qCT10n/YXYNo52VG9Th4C1+w3WcXLPR/7Cbtw+c9Pg/o4TevH3zJc/FevmqWt6cXNy9ah2HYxapSb81n2c3fMbLNdjQp+Xjr6funYqkDQjYz+Vzz0fboXduXHmukn1hHeLSNjP2bZtG3Z2djRo8GyU0qpVKw4dOkRycrJO2fLly1OlyrMvemdnZ1q3bs2lS5d07mgD0LVrVyws3r/JjL2Hj9Oicd08a+/6vUeoNRo88jlkb3scm0hwRDRlvIx/aLwpLBt1I/Po5uzX6rgoJK6FkNg5gcwCWfEKSOz1H21nUb05WddOgNK0L8anMm7fw9qvIlJ7W6T2ttj4VcLCw5WsyCfZZbIiY5C5uRis7z5zPIU2z8ehe+tcxbfycCbj8bNpzfSHsVh5aN/nza+WUnndBOpf+R27skV4tOmYwTa8v+1FzUM/U3xs3j0Zq9TnLQnbGKCX4F9U4Yc+tLyyAHtvT+6uMu3pS+3H9mDnvM2o1YZH8VVb1eTS7tMGDwSqta5NWOAd4h7GGKj5cho0fLPpB6Zsm0H1j/UPxKztrKnUuCo3T+uPrv1a1+Hu1Ts8yUVcbWzt9PeMbb9Q8+Naevtrt6rL6d0nczz4+d/X/fl19xy6jeyRq/ivS5KHPx8ykbD/pdFo2LFjBzVq1CAqKoqIiAgiIiKoVKkSGRkZ7N27V6d80aJF9dp4uu3Ro0c62wsXLvymuv3GaDQaDhw7RbOGdfKkvfjkVL5Ztp1ven+cvS0jM4uvFv3DqC6NsbbSf/zc65KVrIwm9jGauMhnG9NTyDy4FnnH4Vh1/wr1k0egVunUk9g5IStaDtW1E7mOnXnnPgmr/6Hg8hl4zP2W9GvBSKwsDZTU/wJ9PPYnwjsM5uGACTi0b4aimq/pHZDk/NXl9VlLLnadxrGKg0k4f5tiX3bQK3N72jpO1h3F2VaTcPAtSoGu9U3vwwsUHs64NfDl/gbDBwjPuzppJbsqDSU+8B6F29c2OkbhckWxcbQl+PSNHMtUbVWb8ztO6m2XW1vRqO/H7P09d88Yn9pxIpNajWHOZz/T9ateuHvpzkwNmjWMA6v2EPvoic52K2srmvdrxfbf/85VXICJHccxptVIfv5sOr2+6oOHVwGd/bVb1+HEjuMG6675eSXDm3zB+A5jKV6uOA07NTZY7k0Sl3UZ5/0b9r0hZ86c4dGjRzx69MjghfP+/v506tTppW3kdPT69BFr75OLV29QwN2VAu76D143lTIzi1ELt9L/41pUKlkI0H5W3yzbQb3yJWhatfRrxzBEWrAEsjJ+yEpXR2JpBTIZmow0sk76o7qtnaa0qNUG0nWn4yVuRZC6FETx+UyQSpFY22PVeSQZm38zKX7ixl0kbtwFgOvUEWTef4hdk2fJx8LdBVW0/uKep9vUCUkk7z+OwteH9POBJsXOeBSLlcezNQGKgvnIiIzDMr89tqU8Sbp2D4DI7acpYWAErYyK1/YhTcmjLcdx8ivNo42vTrQv41TeCwdvT5qfm4NUJkWe34Haa77iZM+fDVfQaIj45xRlRnckbP1Ro2IUq+xNyeplmHZ8AZZWchS2Cnr9+BmrJ/4JgHOB/Dh75OfOBf2bE7kUccfNy4PvDmp/zzaOdnyz+xe+/3iMUbHjo7SnFmIfP+H6iasUKVeMyDDt2ogeE/uQEp/M7sX6p9dci7jj7uXBzwfnAmDraMuPe35lYotRRsUFsheJPXn8hKsnrlKsXDEeh2kHDvkLuJDfw4Vb5w2fAoj7t9/KdCXH/jlKmRrlOLLl1TcPEd4+kbD/5e/vj5OTE9OmTdPbd+rUKdauXUtkZCTu7tqp23v37umVCwvTLhIqUKCA3r73jXY6vN6rC76CRqNh8vIdVC/tRetaz0aKc7ceQSG34NPWeTOCNyTz2GYyj2mnw2Xl6yB1LUTWSX+wsYfUJLB1wKJMDdLX/qRTTx16lbQF2gfQSxzyI28/xORkDSDL54gqNgHLooVQ+PoQPWUuTn06IvcuhvJOGPYtGxH1za8vVJIitbdDHZ+IRG6JTZ2qxC/fZHLsjMg4UKmxK1uElKAIPDrU4cbIP8iKT0Hu4oCiiCvp96PJV688KXce6tWXuzlpk7ZUgkvTKiScCza5Dy96fOAyuypq13DYFHbBb8kIg8natpgHKXe1ia5Asyokhej3LyfHVu/j2Op9AHjXLEvDPh9nJ2uAqq1qcWHXKYN1HwbdZ2z1T7Nfz7q41OhkbWVthUQqIT0lHRsHG0r7lWX/X9qFco17NqNI2WL80vcHg3Ujgu4zpFr/7Ne/X1phUrLWxpaSnpKGjYMtZf3KsfuvHdn767Suy6ldOc8WObs5ExcVh1QqpWqT6gRduGV07LwipnqNIxI2ZE95N27cmI8++khvv4+PD6tXr2b79u0MHDgQgGvXrnHp0iUqV64MQFxcHDt27KBSpUomPd/UHAaN/pabwXdIS0+nSad+zP5hIguXrWXKuKG4ueRHrVZzMOA06//UX0BnqsshEew9f5NSnm4cvqT90h/foxnL95ymeAEXuk5ZCsCITo2oXb44U/7aRecGlSlXtAC/+wfwd8AVElPSaTZ2Pn1b+PFJk9e/0Yy8aW+kLgVBo0F5eEP2CFveoh9Zlw+jfnzvtWMAeMz7DpmDLerUdKK+ngUqNdE/LMD9lwlI5ZYkbT+I8rY2luvUESRu2Iky9D4FF/+IxEIGMhnJe46SGvDq1buV10/EwbcYMhsr6l1ayJV+s7g1cTm+vw9HqrDk0aYAkm+GA3Bz3FIqrxqHRqUm41Es14YvAKDEV11IvBJK9N4L+P4+DMt89kikUuJO3uDB6pzPI9dZNx6nCkWRWVvx8cV5nO7/G8V6N8Hjo0rIne35+OI8rnz9Fw935/w+ynzVmfjLoTzad5EKU3phU8QV1BoSgyK49NXSHOsNX/k1RcoVx8rGip9O/cHvn80k7OqdHMtXa12b9d8t09nWZmQ3wgLvcPWA8aukv1r5DUXLF8fKRsHc04uZ8/nP9J8+GACpVMK+5bt4cFv7ef9v6qdEh0cy1V97cLJ3+U6ObTpEp1HduXv1DhcPnDM6LsA3K7+jePkSKGwULD69jJ8//4nB07UHQhKphF3LtxP+b2yA2q3qsPS7xTptdB/1CXeuhnDuwFlGzBmNvbMDUpmU66cD2b9O9/Tf2/BhT2TnHYnmZUsw/yN27drFyJEjmT17Nh9//LHBMq1bt0YqleLv74+Pjw/e3t5ERUXRq1ev7Mu6wsPDWb58efZ11U+vw96wYQOVKlXSae9N3ks8M9I89yK3dPch7dgKs8S2rt+X1Bn9zBLbZtxyQso2f+txS97Yy373bm89LkDTyA1s9fjELLE7Pl7LZ0XzbiGcKf68t4leXh3NEnt12FY6erV963G3huXtzaMMGVc07xa7zbj38hX+7zMxwkY7HW5paanzHNMXNWrUiEWLFnHrlna6qHLlytSsWZN58+Zl3zhl/vz5b/0mKIIgCO+7D32xWF4RCRv4448/Xllm9OjRjB49Wmdby5YtadmyZY51OnbsSMeOho/G/fz89EbSw4YNY9iwYUb0WBAE4cMhzmEbR3xOgiAIgvAeECNsQRAEwazEhLhxRMIWBEEQzEqcwzaOSNi58LqruAVBEIRnpP/5a5WMI85hC4IgCMJ7QIywBUEQBLMSI0fjiIQtCIIgmJU4g20ccWAjCIIgCO8BcWtSQRAEwaymefXMs7a+DluTZ229a8SU+AdI+fC6WeLKC5Yj/ZR57uOrqNWD1HlfmCW2zbCFPGnV4K3Hzb/zKMFlWrz1uADeN/dwsXA7s8SuEr6NeYV7mSX2sPDVzClinthf3l/N1DxMbMaa/BYSoLisyzhiSlwQBEEQ3gNihC0IgiCYlRhfG0ckbEEQBMGsxFSvccTnJAiCIAjvATHCFgRBEMxK3JrUOCJhC4IgCGYlzmEbRyRsQRAEwazEuVnjiM8pB1u3bsXHxwcfHx9Onz5tsEznzp3x8fGhRQvzXAsrCIIg/HeIhP0KVlZWbN++XW/7vXv3CAwMxMrKygy9EgRB+HBI8/DnQyamxF+hYcOG7N27l2+//Ra5XJ693d/fHxcXF7y8vIiNjTVjDwVBEN5v78qis5SUFJYuXUpgYCCBgYHExcUxevRoBg0apFNu37597N27lytXrhAdHY2bmxt+fn4MGzYMd3d3nbK9e/fm7NmzerGqVKnCunWm3RlSJOxXaNWqFfv37+fw4cM0b948e/uOHTto2bIlt27d0im/detW/P39uX37NgkJCXh6etKpUycGDhyIVKo9/vvtt99YsmQJx44dI3/+/Dr1Z8yYwapVqwgICMDZ2fmNvKeU1DQGjJpMVpYKlVpNz46t6Ny6qV45tVpNzyHjKeDmwq9Tvsp1vBFz13P+1j38yhZj1tBuAOw8eZWlOwPQaKBd3Ur0bVlHr96ZG6HMWr8PjUZDPgdbfh7cGUc7G5Pjp2Wq6Lj2NE1LuDGqbinte9No6LPpPB72VvzycQW9Ov23nCclUwVAVHIGLX08GFvP2+iYUs/C2I//Nvu1zLMIST9PxXbQUDSpqaBRo37yhKTvxunVte7WG6sWbZBYWRH3Se5u/+ncrxMOHZuBRkPs4o0kbT+Ewtcb9x9HI7G0JNH/ALEL1+rVK7TqF6S21gBYuOcnacdhoqf/aVJst8/ak79LE0BD5IItxP59FOe29fAY1hkkEtKC7hM2cjYaZZZOvVIbf8DS1Rl1hhKAWy1GvjJWy8Uj8KxZhogT19n9+VwsFHI+/nM4jkXcUKtUXFt9iKsr9gMgs7Kk0fR+eFQphUat5tC4pTw6F6zTXouFQ3EqXgAA6/z2RF0JZefA2XpxWy0aQaFaZQg/cZ1d/8Zt9cdwHJ7GXXOIK//G7bz5G+S2CgBsPZwJ+uckx6as1mnv4wVDcX4ubuSVUHZ8qh8XoOufI/CqVZa7J66zefAcAPqs/xqFoy1SCxk3tp/m2Ny/dep0/v1LnAq5sKTNNwbb/GhiD3yaVkWtVnP01y3c2Hkmp4/8gxYXF8eCBQvw8PCgbNmynDhxwmC5b775Bjc3N1q3bo2npyfh4eGsWbOGgwcPsnXrVgoUKKBT3tXVlbFjx+pse/G73xgiYb+Cu7s71atXZ/v27dkJ+8qVK4SFhdGmTRu9hL169WqKFStGvXr1UCgUnDx5klmzZpGcnMyoUaMAaN++PX/88Qc7d+6kT58+2XXVajU7d+6kQYMGbyxZAyis5Cyf/QPWCivS0jPo0H8EH9WriZOjvU65rbsO4unhhlqtfq14nzT1o329ymw/cRmAuKQUFvx9iPXffYadtRXD56yjYWUfihZw0an389o9zBrSlaIFXPht4342H7nAgNb1TI6/9Pw9fN0ddLb9c+Mhng4KVDk8+2ZZp2rZ/99vy3kaFXM1Kab6QTgJwwZqXyiscV62nsxL5wFIGDME0tNyrKu8eI70fTtxWrDcpJhPyUsVxb51I+53GgpAoeU/kXLkDG7fDOXR6J9Q3gmjyLrZJO8/gfJ2mE7diN5jsv+/8OpZJB84ZVJsRWkv8rWrz61W2r/1Uuu+J+HQeTwn9+fmR8NRxSdRdMEYnD6uRdy2AL36oZ/PID3ovtHxrizby40NRynT+dnfxYXfd/Dw9C0srK3otnMqYUeuknAvkurD2xEf+pgDoxYhtZBhYaN/OmvPF/Oz/7/pnMGEH79mOO7yvdzYqBv3/O87eHBGG7fHjqncO3yVhLBINnf+PrtMly3fcGfvBb32dg95Frf57MHczyEuwNkV+7i88SgVOtfP3rZ+4K8ok9OQSCX02/ItwQcv8vi69ndbvG55NKqc/w1X7t4QKztrFjTS/u6tne1yLPumvCurxN3c3Dh27Bju7u5ERETQpEkTg+Xmzp2Ln5+fzrbGjRvTrVs3VqxYwYQJE3T22dnZ0a7d6997/0Of8s8Tbdq04ciRIyQkJADa6fCiRYtSoYL+yGzNmjXMmjWLAQMG0LNnTxYsWEDnzp1ZtWoVSqV25FCsWDEqV66Mv7+/Tt0zZ84QGRmZJ7/Yl5HJZFgrtF9WSqUStVqFBt3ElZCYxJ5Dx+ncutlrx6tRphi2imenEyKi4yhe0BUHW2ukUinVfIpy8MJNvXoSICU9A4C0dCUujqZ/kYTFp3I3LoW6Xs+OZhPSM9l7O5KO5TxfWT8qOZ0HielU8XQyOfZTcr86ZF65CBnpRpVX3b6FJi73p1nkJQqTfukGGmUmGmUmGbdCsa1fHWRSlMF3QaUmcedhbBvWzLENC7f8WBZyJ+18oEmxFSULkXzhFpqMTDQZmaTduItDwypIAKm1FUilSK2tyIyMy/X7e96DUzfJTH72uWalK3l4WnsQnZWWQfy9SGzdnADw6VCHS4t3A6DOUqFMTM2xXancAq8GvoQaSK4AEaduonwh7oMzL8R1d9KpY+vujENh1+xyhsjkFhRp4MudfYbjAtw7dYOMFN2/JWWy9gBQZmmB1NKCp8ehUgsZdYe2I2DePzm2V+WTxhyb+2x/WlxyjmXflHflHLZcLteb0jbkxWQNUKlSJdzc3AgJCTFYJysri+Tk1/tsxQjbCC1atGDq1Kns3buXjh07snv3bj755BODZa2ttdOJKpWK5ORkVCoVNWrUYPPmzYSGhlK6dGlAO8r+9ttvCQ0NpXjx4gBs27YNR0dHGjZs+MbfU2JyCv2+nMT9B48Y9dn/cHbUHYHOXbqWz/p0eSOxi7jlIyQiisi4RJztbAi4epuSnm565b7+X2u+mLUaSwsZhdzyMa7XxybH+u3EbUbWLsWVx/HZ2+afvsOn1YoZVX9/SBRNSrgileR+DGBVryEZh/ZqX2jAccZcUKlI27wW5cljuW43J8rbYeQf0gupvS0A1n4VyXwURVbUk+wyWY9jsKnum2Mbdi3qkbTvBJj49N30oPsUGNEdmYM2tn1tXzLuPyb8m0WUPTAXtTKTpONXSD5teARZbN5oNFkqYtbvJ2blbpNi672HAvlwKV2YqMB7yB1sUKvU1J3UA4+q3sTcvM+xySvJTDF8EFW0UUUeXQx5aVI3Ju7zSrWuQcjucy/9TL0aVuRxLuP22/otbj6FOb/qAJE3tKPrmgM/5srmADJScp7RcSyQnyrdG1KqSWUSHj5h16TlpEQnmBz/XZHTqPipgwcPvpG46enpJCUlGZwdjYiIoHLlyiiVSvLly0fHjh358ssvddZFGUOMsI1gb29Pw4YN2b59OydOnODJkye0bt3aYNnz58/Ts2dPKlasSI0aNahVqxZffaU9/5uUlJRdrmXLlsjl8uxRdnp6Ovv27aNFixYm/xJzw8HOli1Lf2P32j/YdfAYMbHx2ftu3g4lMSmZ6pXKv5HYjnY2fPVJC0bOXc+nM/6ieEEXLGT6f4qr957ij7F9ODB7DBVLFGLpDv0p1Jc5HBqNl5MNXs7Pznvfik4iMSOTaoWMO+WwLySK5qVefcSdE4m1DRZlfVGe054TTBg7hIQvPyVp2jfY9B2EtMCrR/mmUt65T/yqbRRaMYOC8yaTcS0YiYG/Kc1LEod9i/ok7T5qcuz02+FEL99BqfXfU3zxBFKuhKDJUuHSszk3mg4nsGo/kEjI10H/caT3hv3KzWZfcvuTyeTv0hi7muVMjv+UzMqSFguHcvyHtWSlZSC1kOFU1J2ww1fZ0HISqVHxVB3SJsf6JVv7cdvf8OWcr4r78YKhBEzTxn1eqVZ+BG9/eZverV9dJifLO07htxpD8Sjrhat3IezdnSlR35crm19+UCi3VZASm8SSNt9w5+hVmk16+4/wfFdG2K9jxYoVpKWl0bJlS53thQsX5vPPP2fWrFn8/PPPVK1alSVLljBs2DCTY4gRtpHatGnD8OHDAahQoQJFixbVKxMeHk7//v3x8vJi4sSJFCxYELlczvXr1/nll190zgU7ODjQpEkTtm/fzpdffsnBgwdJSUl549PhL3LJ54R3iaJcuHqD5g1rA3D1RjAXA2/SvPtnZCgzSU1L47tffue7MYPzLG7jqmVoXLUMAIv8j+JgY62zPzYxhdCHMZTx0i7eaFq9HL//c9ikGIGPE9h7O5L9IVGkZarIUquxlcu49DCBln+dQKlSk6LM4vtDN/mmcRm9+o+T0olKTqeih2Mu3yVY1qxL5sWzkKk9HaKJ1Y5y1U+iybx8EYviJVE+epDr9nOSsHEXCRt3AeD+/Qgy7z/Erkmt7P0WHi6oog1Pu1t4uGDh7kL6pRu5ih2zZi8xa7QzCkV+HorMwRZNlorMhzEAxO8+hX1tX2L/1j0gyIzU9kcVn0z8rlPYVCxF8uncPdu96W+fce/wFe7sOgdAemwSGYmp3Dt0GYA7e87jN7KjwboyhSWF65bj8PhlJsdt9qs2bsi/cZ+yK5AP+wL5eHT+do51ZVbauAcnmB73KWVKOndPXqdko4rE3H6ASylPhh+fjdRChk0+e3qsGMu6vjN16iQ+juXmbu0q5lt7zlGjX3NDTb9RkjxcJf6mRtAvc/78eebPn0+zZs1o3Lixzr4ff/xR53W7du347rvvWLduHSdPnqR27dpGxxEjbCM1bNgQe3t7zp49S5s2ho/MDx48SEZGBn/88QeffPIJDRs2pHbt2jg6Gv7C79ChAxEREVy4cIFt27ZRuHBhqlat+ibfBgAxsfEkp2in3JJTUrlw5QZFCxfM3t+tXQsOblrC3vV/MnPyKOrWqJynyRrgSaL2XE5MfBJ7z17n45q6o3kHWwVxSSlERGvPdZ65EUpRDxe9dl5meO2S7Olbl13/q8PIOiXpUNaTz2oUZ18/7bafmpWnjld+g8kaYF9IJB+VdEfyWtPhjcg49u+BhpUC/j1lIrG1w6J8BVThYS+pnXuyfNq/OcuihVD4+mhHy2o1cu9iIJPi0LIhyYcNrwS2b1GfpL2mzWY8zyK/NrZVcU9sK5XiycaDWJcpiszx32nyOhVJv/PCQYpMisxZu+hRYmWJQ4PKJi0+e17t8d3ITFNyfu42ne33jwXiUaUkAJ41yxAbYvhAqWijSjw8G5TjdHlO6ozvRlaaknPztuntK9Xaj9s79S/teV6xxrmLK7ezxia/9pSWTG5Bifq+PAl5yO1Dl/mt+lDm1h3B8s5TiAoK10vWAMEHLlK0VlkAvGqWISbkoUnx/+uCg4P54osvKFWqFNOnTzeqzoABAwA4efKkSbHECNtIcrmcb7/9lrt37+Y4HS6TyQDdqUalUsnq1asNlq9bty6urq789ddfnDhxgs8//zzvO25AZPQTvp25AI1Gu9SsR4eP8SlRlMHjf2DKmC9wc8mXp/E+/2UVt8IekZahpOnIWfw2rDsrdp3gzsMopFIpo7o1y75c67tl2+jSqBrlinnydZ9WDJ+9FplUipuzPd8P7JCn/XrRlEM36VzOk3L/rijfHxLFVyZcyvUiiY0tFt6lyfxReymN1NkZ+69/0O6USkn334Lq/j0AbIePJX2XP6qQIKw/6YtV81ZI7Oxx+msT6ZvXk759i0mxC87/Fqm9LZq0DB5PnAUqNVE/LKTArPFI5JYk+R9CeVsb2/37EcSv30nGde3oz65FfaJ//D3X77v4konIHGxRp6Vzb/RcMh/G8HjhFnz+noFGpSIt6L7OCDxm9R7Sb4dTavV3SCwtQColbsdxEo9cfGWstqu/wq18USxsrOh3di57hy6g6pA2PAmKoPueaQCcnL6e+0cDOTl9PU1nD0ZupyApIob9o7SXq/mN7kTU1bvc3a+NV6qNHyE7Xn5ZU/tVX+FaviiWNlb0PzOXPcMWUO2LNjwJjuCT3dq4x6ev5/4x7aI979Z+HPl2lU4bNUd1IjLwubit/Qg24nKqnivH4VG+KHIbK0acnsfWYfNpNrkXMksLJFIJN3efI/jgpZe20XBUJx5evUvwgYscX+BPp3lDqftFW9Lik9k2xrTL+PLC+zpyfDqr6uzszJIlS7CzM25hbMGCBZFIJNkLmY0l0bzsRNZ/2NatW5kwYQIbNmygUqVKOZbr3bs30dHR7Nmzh7t379KmTRuKFi1Kt27dUCqVbNu2DalUys2bN1m5cqXe6sIZM2awbJl2Cmzfvn14eXm9dt+VD3M3jfi65AXLkX7KtBsB5BVFrR6kzvvCLLFthi3kSSv9c7JvWv6dRwkuY57b4nrf3MPFwm/39M1TVcK3Ma9wL7PEHha+mjlFzBP7y/urmer19s8vTw5b88ZjLC2Ud5/pgAjDAyRTPb2sy9CNUwAiIyPp0aMHWVlZrFu3Dk9P49ejhIWF0axZMz7//HNGjnz1/Qaeel8PbN5JxYoVY8GCBVhYWDBz5kxWrlxJo0aN9C6Yf1779u0BqFy5cp4ka0EQhPeNVJN3P29DbGwsffv2JSUlhWXLluWYrJOTk8nK0r1BkEajYeHChQDUq2fafSXElHgOOnbsSMeOhhelPG/VKt1prgYNGtCggf5oKygoyGB9S0tLANq2bZuLXgqCIAh5afXq1SQmJmZf1XPmzJnspNu7d2/s7e0ZMGAAoaGh9O7dm+vXr3P9+rNZTRcXF+rU0d658fr160ycOJGPPvqIIkWKoFQqOXjwIOfOnaN169ZUq1ZNvwMvIRK2mW3atAm5XK53KYAgCMJ/xbtypzOAZcuW8eDBswWJx48f5/jx44B2YGVvb8+NG9orKF4csAHUqFEjO2EXLFiQ8uXLs3//fp48eYJGo6FEiRJMmjSJnj1NP70hEraZHDp0iLt377J69Wo6duyIk5OTubskCIJgFu/SudlDhw69skxOM6YvKly4MHPmzHndLmUTCdtMfvjhB2JiYqhTpw6jR482d3cEQRCEd5xI2GZizFGcIAjCf8G78njNd51I2IIgCIJZvUvnsN9l79KpA0EQBEEQciBG2IIgCIJZSRFz4sYQCVsQBEEwK3EO2zji1qSCIAiCWW0okHe3XO326M3fStVcxAj7A6QMe/VDE94EuVcVs95LPG3jVLPEtu46maTP3/49ve3/2EN8t0ZvPS6A04bDPK7f0CyxPY4d4YRHZ7PErvN4Mwfdu5kldpPIDWz1+OStx+34eO0bjyEWUxlHJGxBEATBrMQqceOIhC0IgiCYlVScmTWKmIkQBEEQhPeAGGELgiAIZiVGjsYRCVsQBEEwK3EO2zjiwEYQBEEQ3gMiYb9g69at+Pj4cPnyZXN3RRAE4T9BiibPfj5kYkpcEARBMCtxpzPjiBG2IAiCILwHxAj7FXr37g3AqlWrdLbPmzeP+fPnExQUlL3Nx8eHbt260aRJE3777Tfu3LlDgQIFGD58OK1bt9apn5yczIIFC9i7dy9RUVG4uLjQunVrhg8fjlwuf+Pvq1KLnpQsWhiAct7FmTJqkM7+5r2HYWtjjVQixTW/M79PG5erOI+fJPD1oq3EJqUgk0oZ1LYBzWqUIzA0gslLtpGZlUXrOhX5vF1DvbqL/I+y5cgF0pWZHJ1vevyUjEw+XX6ALJUGtVpNj1ql6VStJAOXHSAxNYMstYbmvl581shXr26/JftIycgCIDoxlY8rFuWrltVMii/J746izygkDk6gVpM6YwTWQ6YisbUHqYys80dR7tK/i5Si31dIPYuCRIIq5DoZ6xeACdepSgsUxnbE5GevCxYmdc73qOOeYDN4HFhaojy2j4wtK/XqWpSrjKL3YCRSKer4WFLnfI8mJcmk923TpTPWrVshkUjIOH+BpLnzsCxTGofx45BYyknbu5eUv/Rjy6tVxX7wYLCQoTx3nqT5C14Zq/SysTjWLkf88UCCBs4CwK5ySUrNHoJEbkH0pqOE/7oZgFLzh2NbpghIJSSevUXo+CV6n2vJOUNwrFmWrKRUAG72/BFlZJxeXN/lo3GuXZa4gGsEDvwNAIfKJSgzezBSK0sebzzG3V+3AFB123fI7KwBsPLIx+Otx7n9zV867RXs2RivoW2xKV6AI8X6oErNyPE911w2EpfaZYk+fo0zA+cAUHF6Xzzb+JH24AmHm0/Sq+O35EtsCrsa3PdU+W8/watrA3aW+yzHMm+K5AOfys4rImHnsStXrnDw4EG6d+9O586d2bRpE2PHjqVMmTKUKFECgPT0dHr37k1ERARdu3alSJEi3Lx5k+XLlxMaGsrChQvfeD/t7WzY/MdPLy2zevZUbKwVrxVHJpMy9pMWlPYqwJPEZLp/+yd1K5Zi+qpdzBjcieIFXenzw1KaVC1DqULuOnVrly9Jh/pV6Dwpd5+HwlLG0v5NsZZbkKbMovP8nTQpW5jZnzTATmGJSq2m35L9NPDxpHTBfDp1lw9slv3/fRfvo1GZwqbH/99olP5/oQq5DjZ2kJVJ2u9TID0VJFJsxs4iK/AM6vA7OvXS183XlgEUAydgUbEWWZdPGh1X/SicpHGfal9YKXCYv57MwAvYffsbKXO/Rx1xD7sfFpB59hjq8Hs6da37DiXl1+9QPwpH8ckg5E3bkPGP8bemlDg6YtOxAzH/6wdZWeSbNwfLcmVxGD6chCnfkxUWRv6FC8g4FkDW3bvPVZTg+NVYYoePQPX4MQ6jRiKvXg3lufMvjfdo6S4i1x3CrVvD7G3Fpw8k6PPZpAaHU2HnjzzZdYbUW+GEjl+MKjkNAJ8/R5KvRXVid5/VazN00jLi9l94adyIJXt4tO4wBbo2yN7mM30A1wfPJSUogmo7fyBq11lSboVzod132WWq+k8hevc5vfYSLt7mUrdpVNkyWW/fi0KW7uXeuqN4dauXvS1860nC1h2l8swBeuXd6pdHo1K/tE17b08Urk6vjP2miKle44jPKY+FhISwcuVKhg0bRq9evVi6dCkymYzNmzdnl1mxYgWhoaGsX7+esWPH0q1bN7777jsmTpzIwYMHOX/+5V9S7xNXJ3tKexUAIL+DHY621sQnpZKlUuNd2AMLmYyPa/py7HKwXt3yxT1xdbLPdWyZVIq1XHtMqsxSoVar0Wg02CksAchUqclUqV96TUlkYioP4pKp6uVmUmxpAS9QqbTJGiA1GdTq7ESMhQXILAyPnJ+WkUqRWFqZNLp+kWW1OmRdu4jExhakMtT3Q0GtJvP4QSyr1tavoNEgsdaOBiUKazRxT0yOKZHJkMjl2vdoYQESKchkZIWGgkpF2oEDWNWupVNH6uiIOjUN1ePHAGRcvIiifv1Xxko4cR1VSnr2a7m7MxKZjNSbYaBSE7P1OM5NtTMjT5M1MilShfy1Pte4E9fJSn4hroWU5Bv30ajUPP77OC7NqurUsfJwRlHEjfhTN/XaS7kZTvr9aKNix5y4QVZKms622HPBKOP0Z0IkFjJ8vmzHrd/+eWmb5b/pwfXpG4yKL5iPGGHnMT8/v+yRNICLiwvFixcnIiIie9vu3bupUqUKzs7OxMbGZm+vXVv7BXr69GmqVTNt+tVUyalpdP1iIgorOcP6daV6hbI6+yVI6Dt6CjKZjP5d29C0nt9rx7x+9wFqjYa4pBTcnJ8lYndnB84H3Xvt9g1JTFMycOl+7scmMaJ5ZZxttTMGfRbtJSQynq41vCldIF+O9fdfu89H5YoglZp2pajUrSCajDSsB3+HxNmFrIsBKPdovxBtxv6K1LMoyqM7UEeEGqyvGPQ1Ft4Vybpxgayrp02K/Tx5rYYoj+1D6pwfTWxM9nZ1bDQWZSrqlU9dOhvbCT9DVibqyIekLZ9nUjxNQgIp6zfgumkDqFSkbvNHk5mJKuZZbFV0NPJKlXTqqePjkVpbY1G8GFl376GoWxeJra1pbxaQe+RD+fjZv6mMR09wrPXsb9tnyWgca5cn/shlYvcaPjAuOrkPXuN78GTPWcJnbjQqrpWHMxnPx30Yi1OtMjpl3NrWInrnmdc6UDBVqc9bErYxQC/BP8+zXU3ir9wl7YHpB2d5RYwcjSMSdh4rWLCg3jZHR0fi4+OzX9+7d49bt25Rq1YtvbIAT568+X84e1fNxS1/Pm7fDWfINz+z9c8Z2NnaZO9fOfs73PLn43H0EwZ+9QM+xb0o4umR63jxyalMWvw33/Zra/D7SvKGbp3gYC1n49BWPElOY9S6YzQtV4T8dtasHNSclIxMxqwPICQynpLuTgbr77sWxsjmlU0PLLPAomR5UqZ9gSYpAethPyALC0Z18xKpM0eBlTXWgyYhLeiF+mGYXvX0RdNAZoGi7xhkpSuhunnJ9D5Y2yDzKU/mnKnIihQ3UED/F2HVsjMp08aguheCoudnWHX4hIytq40OKbGzw6p2LaK7dkeTkUG+mT+TcVZ/CtjQH0H8D9NwGD0KpDIyAwORKXJxOsbAn9HzTxAOGjgLiaUFpeYOxbGeLwnHruqUDZu2hsyoeKTWcnz+GIlr1wZEbzxqRNxX//26ta1JyJS39+hHhYczbg18Od7lR2wKuxgsI7OxouSA5gR0/fGt9csQcQ7bOCJh55JKpTK4XSp99bGiWq2mZs2afPaZ4cUd7u7uBrfnJbf82lFlqWKFKV7Ek7AHjyjnXUJvv4drfvwql+fWnbBcJ2xlZhYj566nf6t6VCpVhKi4RKKem76LjEvE1cnuNd7Nq+W3s8bb3ZkL96JoVt4LAFsrS2oUc+f47YcGE/bjhBSiElOpVMTV5HjquBhUYcFo4rQjy6xr55AWKvEs8WakoQq6jKxcdYMJGwBVFlmXT2JRsXauErZltTpkXTkHmZmoY2OQ5Hv2pS3N54o6LlanvMTeEZmnF6p7IQBknj6Coktfcl7+pE9erSpZDx6gSdL+ftNPnUJeqSIyl2exZa6uqA0clGYGBhI7ZBgAiqZNczUSVT6KRe7xbMbEqkB+MiPjdcpoMrOI3XOW/B/X0EvYmVHasuo0JdFbA3DwK2NUws54FIvV83EL5iPjucVqVgXzoyiQn4RzQYaqvxFO5b1w8Pak+bk5SGVS5PkdqL3mK072/Dm7jG0RN2yLedA04BcA5E62NDn0Ewcbj39r/QQxwjaW+JxewdHRkcTERL3tDx48yHWbRYoUISUlhdq1axv8eX5K/U1ISEpGqcwE4HH0E0LvP6CQx7ODhNS0dFJStVNoickpXAi8SfEi+jMHxtBoNHyz5B9qlClGmzraKVg3ZwdkUgnB4Y/JUqnYfTqQBpV8XvNd6XuSnEZyuvZ9JqdncuFeFEVdHIj999yjMkvFqTuPKObiYLD+vmv3aVquCBIjRk8vUocFIbF30i42k0iwKFUedWQEEntHbQELS2Rlq6B+HK5bUSpFkv/f34VEioVvDf0yRpLXaojy5GEA7blotRppkeIglWJZpzGZF3QXsmlSkpA4OCJ11R6YWZSvguqhabHVUdHIy5UHuRykUuSVK5F15w6o1VgULw4yGYqPmpBxUn8RndTJCQCJtTU2nTqQunOXye9ZGRkHajU2ZbxAJsWlQx1i950HmRSrwv8eeEmlOH9UlbQQ/X/Dlm5OOmVSg4x7/8rIODQqNXZliyCRSXHvUIeYfc8Wrrm3rUXk9tyf2siNxwcus6viEPZW/5Kj7aaQeCtcJ1kDJN4KZ5fvYPZW/5K91b9EGZ/y1pO1YDwxwn6FIkWKcOTIEWJiYnD5d5QQGRnJgQMHct1my5YtmTt3LgcPHqRJkyY6+9LT01GpVNjm4vydse7ef8iUOUuQSiVIkDBucB8cHewY/PUMpoz6lAxlJiOm/AqAWq3hk3Ytsi8BM9Wl2/fZe/Ya3oXcOXzxFgDTBnVkQq+WjPt9C8rMLFrXrkCpwtok9d2ybXRpVI1yxTz5/e/DbD12kcSUdJqOnEXflnXo2bSm0bEjE1L57h/tOUMN0L2mNw7WcoauOkymSo1ao6FJ2SI0KF0IgCn/nKZz9VKU88wPaKfDx5l4KVc2tZqMbSuwGT0TkKC6eRF1eAjWQ78HmSVIJGRdOo4q8AwAVr1GkHlsJ+qH97AeMB6sFNp6IYFkHttpenxrW2QlSpM169vsTWnL52A7/BuwtCQzYD/qcO0qbevPxqDc748qNJi0pbOxHfcjqNWoY6NJXfDyKwlelHnjBhmnT+OydDEatRrlhYtkHD+BOjYOx2+/QSKXk75vP1mh2tgOX40ldZs/WUFB2PbqiZVfDQCSV61Gdf/+K+OVXTcJuwrFkForqHbxT271/5k7E5bg88cIJFaWRG8+Ruqt+0jkFnj/PgKZrQIkEhJP3+DxX/sAKPJVN5Iv3yF233m8F36JZT4HJDIpCSev83i14X/nldZPxN63GDIbK+pcWsjVfrMImriccr8PR6qw5PGmAFJuPkv2bu1qEvz1Cp02in/VhcQrocTsvUCBTxpRfGwX5G5O1Dw5m8gtxwn53vD0eZ1143GqUBSZtRUfX5zH6f6/Uax3Ezw+qoTc2Z6PL87jytd/8XB3zotXy3zVmfjLoTzad/GVn/HbIKbEjSPRaMSDSJ+3detWJkyYwIYNG6hUqRJ3796lZcuWlCpViq5du5KYmMi6detwdXXl+vXrBq/Dnjp1qk6bL17LnZ6eTp8+fbh27Rpt27bF19eXzMxMQkND2bNnD4sWLaLSC4tyTKEMM88/QrlXFdJPrTNLbEWtHqRtnPrqgm+AddfJJH3e4q3Htf9jD/HdGr31uABOGw7zuH5Ds8T2OHaEEx6dzRK7zuPNHHTvZpbYTSI3sNXjk7cet+Nj4y/ry60j7l3yrK2GkZvyrK13jRhhv+Dp8cvTc9HFihVj1qxZzJkzh59++onChQszbtw47t69y/Xr13MVQ6FQ8Ndff7FkyRJ27tzJjh07sLW1pVChQvTp04fixQ0tEBIEQRD+y0TCfkFKSgoAdnbPFkG1bNmSli1b6pUdNmyYzuvnR9vPe/EuaQDW1tYMGzZMrw1BEIT/GhOvmvzPEgn7BYGBgSgUCgoVKmTurgiCIPwniHPYxhEJ+1979+7l7NmzbN++nQ4dOryV+3kLgiAIgrFEwv7XjBkzSElJoVOnTkycONHc3REEQfjPENcXG0ck7H8dOnTI3F0QBEH4T5JIxJS4McSBjSAIgiCgXXQ8d+5cPv30U2rWrImPjw+LFi0yWDYmJoaxY8fi5+dH5cqVsy/VNSQwMJA+ffpQuXJl/Pz8+Oqrr3J1C2qRsAVBEASzkko0efbzOuLi4liwYAHBwcGULVs2x3Lp6en873//49ixY/Tt25cxY8bw5MkTevfuTUhIiE7ZkJAQ+vTpQ2xsLGPGjKFv374cOXKE//3vf6Snp+cQwTAxJS4IgiCY1btyVZebmxvHjh3D3d2diIgIvTtRPrV+/XpCQkJYs2ZN9pMVW7ZsSYsWLfj1119ZuHBhdtlZs2ahUChYvXo1Tv/efrdKlSr06dOH9evX07dvX6P7J0bYgiAIglm9KyNsuVxu1MOXdu3aRenSpXUeg+zs7Ezr1q05duwYycnJACQnJxMQEEDr1q2zkzVoH8Ps7e3N7t27TeqfGGELgiAIH4ycRsVPHTx48LXaV6vV3Lp1i3bt2untq1ChAqtXr+b27dtUrlyZ4OBgMjMzqVChgsGy27dvR61WG/WURxAJ+4Mk96pittiKWj3MFtu662Szxbb/Y49Z4jptOGyWuKC9p7e51Hm82Wyxm0RuMFvst3Ffb3N4n1aJx8fHk5GRgaur/mN33dzcAIiKitL5b05lMzIySEhIwNnZ2ajYImF/gJShZ80SV168BulXTH8kYl5QVGxJeoD+LWDfSux6vUlbOuatx7Ue8AtpS0a99bgA1gN/JXVmf7PEthm7jJTJ3c0S23bqepLH6I+s3ga7X7aR+Gmztx7XYfG+Nx7jdaeyn/e6I+hXycjQPiHe0M21rKysALIXkz3978vKPm3PGOIctiAIgiAY6WmiVSqVevueJl+FQqHz35eVfdqeMcQIWxAEQTArybuyTNwITk5OyOVyoqOj9fY9nQJ/OjX+dCo8p7JWVlY4OjoaHVuMsAVBEASzkkg0efbzpkmlUsqUKcPVq1f19l29ehVLS0tKlSoFgI+PD5aWljmWLVOmjNELzkAkbEEQBEEwSYsWLbh16xbnz5/P3hYXF8eOHTuoW7du9uOZ7ezsqFu3Ljt27CAhISG77JkzZwgODqZFixYmxRVT4oIgCIJZ5eWis9e1evVqEhMTSUpKArTJNSsrC4DevXtjb29Pjx492LRpE0OGDKFfv37Y29uzdu1alEolo0bpLgQdNWoUXbt2pWfPnvTo0YOkpCSWLVtGiRIl6N7dtMWTImG/BY0bN6ZGjRr89NNP5u6KIAjCO+ddOoe9bNkyHjx4kP36+PHjHD9+HIC2bdtib2+PtbU1K1euZMaMGSxbtgylUomvry/Tp0/H29tbpz1vb29WrlzJzJkzmTlzJnK5nPr16zNu3Disra1N6ptI2EbaunUrEyZMYMOGDVSqVMnc3REEQRDeAGOf3Ojq6sovv/xiVNkKFSqwatXrX3YqErYgCIJgVu/TjVPMSSRsQRAEwazepXPY7zKRsHOpd+/eAHrTHPPmzWP+/PkEBQUZrJecnEydOnXo0qULkyZN0tmXkJBAnTp16N27N+PGjXszHQfuRjxi7PT52a/vRTxixrgvaFL72Y3s+4/7kYSkZFQqNc3r+zG4Z4dcxxsxcxnnb4TgV74Us0b3y96uVqvp9fUcCrg46Wx/avycVdwIDcfCQkaDquX48pPWJsV9HJvA10u2EZuUikwqZVCbujSrVpYf1+xm3/mbFMjnyLpvBhism5GZxQ+rdnHlTgRSiYTJ/2tFlVJFTHvjQFpmFh2XHqGpTwFGNSpH4KM4vt11mUyVmtblCvNZHW+9OotPBrPlShjpWSqODDNtFalubBUdlx2lqbcHoxqV5cf919gf/IgC9tas7VPXYJ3wuBTGbb9EUkYmfl4ufN20PBJTTzBayFH0/wFV8Hkyj2xEVroGljW1vzt1zAOUu5eCKkunilWP8Ujk2ptMSOycybpxmszD60wKa/PtGtRR4do4D0NRbvv3OcYSCYpPv0eT8ISMDb8Z6K8l8jYDkRUuBRoNGdsWob5v+N9vTmxnbEX9OEwbO+IOGZvmY1GpHpZNOoNEgvrRfTLWz9Z731hYYtVpMDKv0qBRk75pAep7N02KLXHxwPp/o5A4OINaTcr0L7GbsghNeipoNKjjn5A2d5JePcWAccg8i4JEiirkGulr54PGPIlTIhUJ2xgiYb9ldnZ2fPTRR+zatYvx48djYfHsV7B7924yMzMN3lQ+LxUrVIDNC6YBkJqWTvO+I6lVpbxOmbmTR2Jna41KpabPmO9p6FeZMiWL5ireJx/Xo32jGmw/ek5n+9+HzuDplg+1Wm2wXpsG1fjpy95kqVR89sMfnLl2G7/ypYyOK5NKGdu9GaWLePAkMYXu3y+hrm9JPq5RnvZ1KvH9qpxvo7p4RwBe7vn4vn9bMrNUpCkzjY77vCWnblO+gFP26+n7A/mpTVWKu9jRZ/Vxmnh7UNLVQadOrWJutK9QhC7Lj+QqZnbs07qxPy5TkPa+hflhX2COdWYfvcXndUpRv4Q7I/8+T0BoFPVLvPrpRc+zrNka9aO7z1436k768m8gPQV568+QlaqK6tYZnToZ654tyLTqMQFVyEWTYgKQnkL67+P1NltUaYQmLhpyuN7VskEHNE8ekfb37yCVgdz4O089Hzvtt5E6m+Rt+pM6azikJmHVcwwWvrXIuhygW+ajrqijH5KxYe6/sRUmh7buO4aMbStQ3b4GNvaQpb2rVspPIyAj5+ctp6+ZB+mp2jYGTcSiUm2yLp0wOb7w9ojrsM2gQ4cOPHnyhBMndP9x+Pv74+3tTenSpd9aXw6fvohfpXLYKHS/KOxstasXM7OyyMzKMn2U9Zwa5Utha63bfkJyCntOXqLzR7VyrFenUhkALGQyShUuQFRsvElxXZ3sKV3EA4D8DrY42liTmJJG5VKFcbR7+erMnaev0btZTQAsLWQ42Jj+RRoWm8y92GTqFtcmvKikdFRqDd5uDlhIpXxcxpOjdyL16pUv4ISrnenxdGLHpXDvSQp1iz976EDlQvlwtLbMsY5Go+HqwzjqFdfepalNuUIcDYkyKa7EyQ1Jfg9Uoc9uFCEBJJZy7VJgSzmalPic69s5IXF0QR0ebFLcHFnbYuFbm8wLOd9f2qJCPTJP7tS+UKuyk9hrk4DE0gokUiRyKzRJcfqxqzQg89i252KnmBRCWtALVFnaZA2QmgQ5HADrefo+pVKwtDLb6Bq0fxp59fMhEyNsM6hduzbu7u5s27aNBg0aABAREcHFixcZM+btPkRib8AZ2jYxPD3aa9QUbt+LoFurJpQu4ZWnceet28WgTsY9yCA5NZ2ASzfo27ZRruNdv/cQtUaDR75X3wYwMTUdmVTKrI0HuHInAu9Cboz/pDm2CtNGXr8ducHIhmW5/ED7RR2dnI7bc4nY3d6aC+FPTHsjRse+ycgGpbn8UD9J5CQ+LRMHa8vsgzM3ewVRyTmP0AyxbNiNzKMbkRYsmb1NeXANin7fQ1YWqrAbqMNznm6W+VRHFXwByEXysLJB8fmPkKlEeXAD6ns3kTfpjvLI1pzrKGxArULevBfSwt6oH4eh3LUClKa9b6yssR4xCzKVZOxejTr0Ohl/L8JmzFw0qkxUwVdQ3bn2QmxbUKuRt+mHzKs06kf3yPhnMWSkGR1W6uaJJiMd6yFTkDq7kHkxAOWu9QDYjp0FahUZezaSdfG4wfrWn3+DzKciquvnybpyyrT3nIfElLhxxAjbDKRSKW3btuXgwYPZDzr39/dHIpHQpk2bt9aP5JQ0Ll+/Tb3qFQ3uX/3rtxxaPZeg0PvcvheeZ3Fv3o0gMSWN6uVKvrKsRqPhm4Vr6dqsDh4uxj2C7kXxyalMWurP5D4tjSqfpVIRHh1HXd8SbJg8EFcnO5btOmlSzMO3H1PE2Q6vfHbZ2wx9Jb2JEYE2tq1ObGNoDPTQlP7JSlZCE/cYTdxzswZSGRYVGpC+fDJpv48EiQRZ2Zo5t+FTHVVQ7p42l/bbMNL/mEjG9iVYdfwCadEySKxtUd+7kXMlqQxpfg9Uty+T/scENMnxWNYz/ZRU6o+DSJs9mowtv6PoMQIUNljWbE7qrOGkTukHEgkWVRroVpLJkLoUQHXrAmmzR6FJjEXeqJNpgWUyZKXKk752Pik/jcCiTBVkZaqQ8tMIUn4YQurvU7Hq2B+Ja0GD1dP++J7kMd21v5fSlU1+38LbJUbYeUylUhlVrkOHDixevJj9+/fToUMHtm/fTs2aNXF3N+184es4fPoCtav6YmXg0W9P2dpYU6NiWY6fv0qpooXzJG7g7TAu3gzl4yFTyVBmkZKewdQ/NzD5s256ZX9bvR1HOxv+1yZ3o2tlZhYjF2yif8vaVCppXP+d7Wyws7aifgXt+fLGlUvzh/8xk+IGPoxj760H7A96SFpmFlkqDbZyS50Ra2RSGi62rzf1bTD2o3j23nrI/qBHz2JbWfJZ7Zef/3e2lpOYlolGo0EikRCVlI6LrfGzCtICJZCV9kPmU107FSyToVGmg1qFJikWAFXwBaRFSqO6cVqvvsTeGYm9M+oHIaa94X89nXLWREWgjn6AzKsMUq/SWI+cBxaWSKwUyNt+itJ/8bNKqUlo0lNRBV/S9u/GWSwbdzY9dqL2/akf30cdGY7UtaD2fcfHAJAVeAqLkr5kXTz6rFJKIpq0FFQ3L2jLXDuNvJlpz5PXxMWgvhekPUcPZAWeQ1a4BKqbF7P3q25eQla4BFnRDw03osoi89JJLCvXzq73tonLuowjEnYuOTo6Eh6uP+p8/g45L1OiRAl8fX3Ztm0bJUqUIDQ0lM8++yyvu/lSe4+dofPH+okwOSWNjEwl+Z0cUSozOXUxkF7tm+dZ3K7N6tC1WR0Azl0PYf2eAIPJeuO+EwTde8D8CYNyFUej0fDNcn9qlC5Km1oVjK4nkUioVbY4V+5EULFEIc4HhVGsgItJsYc3KMPwBtpz8NsCw7kTk8hndbw5GvKY4KhEirvYsefmQ7772PDsxusYXr80w+tr10FsuxbOneikVyZr0L5v34JO2QvNtl+PoL2v8QdpmQFbyAzYAoCsXB2krp6orhzDwrc+WNlARipSrzJonjwyWF/mUwNV0HmD+15JYQuZGaDKQuKQD6mrJxmb55F5VDsdLi1aFku/5rrJ+l+qkKtIC5dCHX4bWbGyaHJKbDmxtgXlv7Ed8yN1L4wmIRZpgaLafWkpWJSqiDpS//tCFXwZqZcP6rAgZCV8DZZ5GdW9IO3qcBs7SEtB5u1LZsBusLLWTq1b2yLz9kV52F+3olSKxNkVzZNIkEixqFAD1b08WjeQC+KyLuOIhJ1LRYoU4ciRI8TExODiov0yj4yM5MCBA0a30aFDB3744QeWLFmCjY0NTZs2fVPd1ZOUkkpgcCi/Tfoye9vgb2YyZcRA1Go1X34/h8zMLDQaNR/VqU7DmlVyHevzaX9wKzSCtAwlTT//jt/G9Kd8ScOXSH33x3q6NK1NuRJF+GnZVjzd8tFzwq8AfNKyPu0b+Rkd91JIOHvP3cC7kDuHL2u/jKYNaMeaA2cJCAwhPjmVpmPnML5Hc5pUKc13K3bQpWEVyhUtyIjOjfl6yTZS0pUUyO/ID/3b5vr9P298U1/Gb7+AUqWmVdlClPp3hfiU3VfoXMmLcgWc+P14EH9fvU9ieibNFu6nr18JPqla/LVjT9lzlYDQKOLTlDT7/SDjm5SjsbcHU/ZcpXOlIpTzcOLLBmUYv/0iPx+8QQ2v/NQr4fZaMTUp8WSd3YWi50RQq1HHPCDzyhEA5M37knX5COrIe4B2Ojzz0NpcxZG6emLVdiAajQY0GpS7/oK0nBdwydsNIuvcAe3lX/vXYtVpCBK5AnVCDBlbF5oW260wVp0HaxdtaTRk/LMETWIsmYe2YDN0Bhq1CvXj+2Se3guAVZehZJ7agzoihIydf6HoMRKsrNHER5G+bo5pb1ytJuPv5drz1RIJWTcuoHpwF9tx2n8zSKQoD25D/VB7yZmiz0iUR3egfnAP608nILGyBokEVXAgmUd3mBZbeOskGo0Zlwa+R168Nendu3dp2bIlpUqVomvXriQmJrJu3TpcXV25fv26znXYOd1LPD4+nrp165KZmUnbtm2ZOXNmnvRVGZq7c4CvS168BulXcr5U6k1SVGxJesDr3/ovV7Hr9SZt6dtdLAhgPeAX0paMenXBNxF74K+kzuxvltg2Y5eRMtm0hybkFdup60ke82Yvu8yJ3S/bSPzUuIWaeclh8b43HuNO+bybwStxbW+etfWuEYvOjPT0uObps0uLFSvGrFmzyMjI4KeffmL79u2MGzeORo2MP9fq5OSUXf5NX3stCILwrnqfnodtTmJK3EgpKdrptafPOQVo2bIlLVvqrzweNmyYzuuX3Uze0tISV1dXatXK+XpkQRAEQRAJ20iBgYEoFAoKFSqUZ23GxsZy4MABevXqhUwmy7N2BUEQ3ifiOmzjiIT9Cnv37uXs2bNs376dDh06IH/JJVDGCg8P5+LFi/z9999oNBp69uyZBz0VBEF4P33odyjLKyJhv8KMGTNISUmhU6dOTJw4MU/aPHfuHBMmTKBAgQJMnz4dT0/PPGlXEAThfSRG2MYRCfsVjH2YuSk6duxIx44d87xdQRAE4cMlErYgCIJgVmKEbRyRsAVBEASzEuewjSOuwxYEQRCE94AYYQuCIAhmJabEjSMStiAIgmBWEjHXaxRxL3FBEATBrB7UapxnbXmeyvsre94VYoT9AVKGXzFLXHnhimQEHzdLbCvvuqSf22KW2IrqnUjb8etbj2vdehRpW39863EBrDtOJG3DFPPE7vYtqX98+eqCb4DN53NInfeFeWIPW2iWB67YjF32xmN86PcAzysiYQuCIAhmJabEjSM+JkEQBEF4D4gRtiAIgmBWYpW4cUTCFgRBEMxKTIkbRyRsQRAEwbzEojOjiOMaQRAEQXgPvPcJ+++//8bHx4emTZuauyu5EhwczLx584iIiDB3VwRBEMxCIs27nw/Ze//2/P398fT05P79+1y6dMnc3THZ7du3mT9/Pg8ePDB3VwRBEMxCJGzjvNfnsKOiojh9+jQzZsxg9uzZ+Pv7U7lyZXN3SxAEQXjPjB8/nr///jvH/WvXrqVq1arMmzeP+fPnGyxz/fp1LCzeXFp9rxP2jh07sLKyokmTJgQHB7Np0yYmTpyIpaUlABERETRp0oTp06fTsWNHnbqNGzemRo0a/PTTT9nbbt++zbRp07h06RJ2dna0a9eO2rVrM2DAAFauXImfn1+OdUH7Cz979iyHDj27Nd6uXbtYunQpd+/eRSKRULBgQZo3b87QoUPZunUrEyZMAKBPnz7ZdQz1N69VatadksUKA1DOuwRTRn+evS8tPYNRU38l4lEkFjIZnVt9RM8OH+c61ohp8zkXGIRfxTL8OkF7l6jA4FAmz16OMiuLNo1q8XmPtnr1wh9FMfbnP0hKSaNmxTJM+qI3EhOfwzfit9WcvxmKX7kSzPqyJylpGfT7flH2/gfRsQzu9BG9WtQxWH/0nDU8jIln3fdDTIr7OC6Zr9cdIi45DZlUyqdNq9CsYgl2XrjNskOX0GigbXVv+jaqpFd38f6LbDl9k3RlFke+/59JcQFSMjL5dPFestRq1GoNPWqXoWWl4oxZc4QHcUnIpFI61/CmR+0yObYxZs0RHsYls3Zoa9NjLz/4LHZNHzpVK8nHv27DzsoSiQRc7a1Z0LuRXt3w2CTGbTxBUroSv+IefN2musm/77RMFR3/CqCptweDa5Vi7I5LPEhIQyaV0Mm3MD0qe+nVGbjpDE9SlMgttMOzDb0M/y0YFXvtaZqWcGNU3VK0/OsEdnIL7Xu2tWJ+m0p6dRafu8vW6w9Iz1JzeGD9XMUFwEKOov8PqILPk3lkI7IyNbH0awkSCVnXTpB1bo9+lZqtsajYAImFnLQF5rlz3FPvwsi4W7du1KpVS2/7jBkzyMrKwtfXV2f75MmTsbOz09kmk8neaB/f64S9bds2GjZsiK2tLa1bt2bx4sUEBATQuLHp96WNioqiV69eqFQq+vfvj6OjI/7+/pw8eTLX/Tt58iSjRo2iZs2ajB49GqlUyt27dzl//jwA1atXp2fPnqxZs4bPP/+c4sWLA1ClSpVcxzSWvZ0tm/+cmeP+/t3aUb1iWVLT0uk+ZAL1alSmiKdHrmJ90uYj2jeti//BZ5/lj7+vYcbYQRQvUpDeY36kSe0qlPIqpFPv1+WbGNyjHQ1qVGTEtPkcO3eVBjUqmha7eS3aN6jK9oCLANhaW7Hxx2EAaDQaPh4xk4ZVDCeuU4G3kUpz900ik0kY2642pT1diE1Ko/tvWyhf2I2Fe86xbmQn7BRyvly2h4blilLUzUmnbi2fQrT386HLzM25iq2wlLF0UAus5RakKbPoPHsbdX086degPNWKe5CmzOST+Tup4+1JERcHvfqnbj9EmssHFCssZSzt/9Gz2At20qSs9sDwr4FNsbGyzLHu7H2X+byRL/V9PBm57hgBwQ+p7+NpUvylZ+/g6+GU/bpv9eJUK5SPtMwseq49RZ1iLhRxstWrN7N1JUq62JsUSy/2+Xv4uut+nis6VcVGnvPXbO0i+WlftiBd1515rdiWNVujfnRX+8LaDsu6HUhfOQUy0rDqOBxVyGU0cY916qjvXSM9MADrvlNfK3aeeAcSduXKlfVmaO/cucOTJ0/o1q0bcrlcZ1+zZs1wdXV9m118Fz6m3Ll9+za3bt2iVatWAJQuXZpSpUrh7++fq/YWLVpEfHw8S5Ys4csvv6Rv376sXbuWtLS0XPfxyJEj2NrasnTpUnr27EmPHj2YOHEiK1asAKBw4cJUrVoVgNq1a9OuXTvatWtH4cKFcx0zL1grrKhesSwANtYKvDw9iI6Ny3V7NSqUxtZakf066kkcKrUK72KFsZDJaNnAj6Nnde9/rtFouBp0h/rVKwDQpnFtvTJGxS5bAluFlcF9V27fJ7+THYXc8unty8xSscT/CIPa648EjeHqYEtpTxcA8tlb42hjxcO4JIq7O+NgY4VUKqFqiQIcCryrV7d8ETdcHfSTirFkUinW/yYJZZYKtUaD3EJGteLaAy5ruSVFXOyJSdL/285UqVl6JJBPG1fIm9hqDcY8X0ij0XA1PIZ63gUBaFOxGEeDTFvXERaXwt3YFOoW037u1pYyqhXK9+//W1DYyYaY5AyT2jQ6dnwqd+NSqOuV36R65dwdcLU1/PdpLImTG5L8HqhCrwIgdXRF8+QhZKQCGlThQchK6Q8C1I/vQUrCa8X+0D3NJ23b6s8AajQakpOTUavVb60/7+0Ie9u2bdjZ2dGgQYPsba1ateL3338nOTlZb6riVQICAvD19aVSpUrZ2xQKBV27duXnn3/OVR/t7OxIS0vj+PHjOv18FySnptJ18DgUcjnD+vfITtAvehwVQ3DofcqULJZnsaNjE3DL55z92t3FmfPXgnXKxCcm42Bnmz0l6p7fmagnuT9oMGTfmUCa+xlOTKt2H6dtvSrY5JDsTXE9PBq1RkOpAvkIeRxLZEIKzrYKjt8Mp6SH86sbyIXENCUDF+3h/pNERnxcDWfbZwdMj+NTCH4URxlP/QOV1cev06ZKiZeOhI2KvewA92OTGNGsMs62CiRA/2UHkEkl9Ktblo/KFdGpE5+agYO1PPv37eZoQ1RiqklxfzsWxMj6Plx5qP938jgpjdsxSZRx159RAJi4+woyqZQO5QvRtWIRg2VeGvvEbUbWLsWVx/HZ2yTAgL8vIpNI6FvFi49KupncrjEsG3Yj8+hGpAVLAqCOj0Li4onEzglNWjKy4r6oY97tRa15OSXepEmTl+4/ePCgUe1oNBq2b9+Op6dn9sDqec2bNyc1NRWFQkGjRo0YP348Hh65m4U01nuZsDUaDTt27KBGjRpERUVlb69UqRIZGRns3buXTp06mdTmgwcPaN68ud72okWL5rqfPXr0YPfu3QwaNAg3Nzdq165N06ZNadKkicnn5vLa3tULcHPJx+279xny9U9sXfwLdrY2OmUylErG/DCb0Z/1xua5EfLrMjTievHjMDgmy8PPTKPRcPD8df6a/JnevsjYBE4F3mbRhAE8jIl/rTjxKel8s+4Qk7s0wNFGwdh2tRm5fC+WMineBfMjk72ZSS4Hazkbv2zLk6Q0Rq05TNPyXuS3tyYjU8VX644yqmU1rOW6STkyIYVTtx/y54BmPIxPeb3YQ1ryJDmNUesCaFquMCsGNsXNwYbIhFQ+XXEQbw9niuR/NgVt6Pdtym/78J1IvJxt8HK21UvYGVkqxu28wsh6pbG21P/K+/HjirjZKUhIVzJk6wWK57fLHpkbFTs0Gi8nG7ycbXQS9vJO1XCzsyIyOZ1Bf1/E28WOIk42OTeUC7KSldDEPUYTFwn/JmzSU8g8tA55+2GgzkIdFQ5vcRSYK+/gXO+FCxd48OABgwcP1vm+dnBwoFevXlSsWBErKysuXLjA2rVruXLlClu3bsXZ+c0chMN7mrDPnDnDo0ePePTokc4Cr6f8/f3p1KnTS5OiSqUyKpYpjwt/sU1XV1e2bdvGyZMnCQgIICAggH/++Yf69euzaNEisyZtNxftF1KpYkUo7lWIsIhHlPMpkb1fo9Hw9YwF1KtRmWb1a+Zt7PxORD03xR4ZE4eLs5NOGWcHOxKTU9BoNEgkEiKfxOGazzHP+nAp6B4e+Z3wyO+kty8o7BGhD6JpOXImWSo1cUkpDJm5ggVj+5oUQ5mlYtSKvfRvXJlKxbRH3o19i9HYVztbsXj/Reyt5S9r4rXlt7fG28OZC/ciaVrei282HaeejydNfYvqlQ16FEdoVAItf96CSq0hLiWdIcsPsKDfR7mLbWeNt4cTF+5F06y8dtTq7miDX3F3gh7H6SRsZxsrEtOU2b/vqIRUXOytjY4V+CievUGP2X/7MWlKFVlqDbZyCwb5lWDy3kDqFnOlqbfh0Y+bnfZg1FEhp0kpd248TjApYQc+TmDv7Uj2h0SRlqkiS63GVi7jsxraNSnudgpqFM5HUExSnidsaYESyEr7IfOpjsTSCmQyNBlpZJ3ajipEe5mrRc3W/06P/zcYO4J+lZymw//3P92FoM2bN6dSpUqMHDmSFSv+3959R0Vx9WEc/wLSFQQFOyIqoDQr2Av2gr1X7N3Xlhg1iRqTmBiNRo1GTewaS2zYjRo1GoPGGnvFLihIL0uZ9w/Cxg2ooMsC7u9zDifZmbvzzB1W7t47d2ZWMnbsWK3kZyRPNtgBAQEULFiQL774It26kydPsn79eoKDg7G2Tv0DHxkZqVFGpVLx7NkzjWUlSpTg3r176baX0TJra+t02wQyvJbaxMSEBg0a0KBBAxRFYc6cOSxbtoyzZ89StWrVHGm0I6KiMTc1xcTEmKfPQrlz7yElixXRKDPvx/WYmZkypFfWRioyw76QDYaGhty4+wAnh+LsPXaKaaP9NcoYGBjg6VJWPdFs5+E/aNekjtb2YX/g3zSr4ZHhunqVXTn0fers/UfPXjBh/vosN9aKovDpz79RvVwJWldzVi8Pi4rDtoA5zyNj2X/+Nj+N8HvrOrxKaFQcpsZG5DczITpexZm7wXT2cWH+/rOYmRgxyDfjiXv1XEtycHIXAB69iOaDdUey3FiHRsdhmi8f+c2MiY5P5EzQMzpVL09MQiKWpsZExqk4E/SMrj7OGu8zMDDAo2Qh9USznRfu0q6yU6ZzR9dxYXQdFwACLj/kVmg0Q2qU47vfr2OWz4hBPmUzfF9SSgpRCUnYmJuQkJTMyXvP6VM1a6d/Rtcqx+haqb3bgKuPuRUaQ5/KpYlRJWFpko+ohETOPg6nm0fJN2wp6xJ/30Li76nPgTdyq42hXQmSTu4EiwIQGwWWVuRz9SZ+w9daz9am3DBL/GUqlYr9+/fj7u6ungz8Oi1btmT27NmcPHlSGuyXpQ15+/r60rhx+j8mLi4urF27lp07dzJw4EBsbW0JDAzE399fXebnn39O1xuuW7cua9as4cKFC3h5pf5Bi4+PZ9OmTekyHBwcOH36NCqVSj1z8PLly5w7d45ixYqpy7148UJjeMTAwICKFVPPFac1+Obm5hqvdeHu/UdMn7sUQ0NDDAxg4gh/rK3yM2zyTKaPG0KKorB84w7Kli5JpyEfADB2YE9qV6/0VnlDP/2Wq7fvERevorH/BOZNHsGkIT2Z+M1SEhITad2wJs6OqX/Mps5fSZcWDXAr78gY/058OGsJXy/7GR+vCtSrlvWJUEO/XsG1oEfEJSTSZNRXzB3Ti4plinP4ryus/2y4Rtlpy7bSuZE3bk7v/of1/N2n7L9wm/LFCvHbpSAAvujRkCUHznInOAxDA0PG+dXA2iK1dzd941E61aqIWyk7Fu//i22B14iMS6DpZ2vxb+hFj7oZf7nISHBkLNO2nAAldai5W01XrC1MWXH0Ek721nSZn9pzGNO8KrWcSzB9yx908nHGrWThd653cGQc07b/+W+2jzOWJsb0+/FXAFIUhR41nCn3z8z46dsD6VS9HG4lCvG/ppX4aNMJZu05g7dTEeo6Z22GeLp9iYpn5V93cbLNT9e1JwD4Xx1najnaMf3XS3TyKIVTIUtGbP2LpJQUklOgqXNR6pR595m/obEqxu1JnQSmKArdPUtStlDqvJrph6/Sya0EbkWs+CHwDtuuPCYyIZFmK47Tt0ppeni9+6RTk8a9MCxUApQUVEc2QnzqKQ6TZv4knT9CSnAQxrXaYuRZF8wsMRs6m6RT+0g6e/Cds99KLmuwjx07Rnh4OMOHD39z4X8UK1aM58+fZ+NegYGSlTHfXGDPnj2MHTuWefPm0aJFxtcGt27dGkNDQwICApg3bx6LFy+mQ4cOeHl5cenSJU6ePElMTAwNGjRQX0sdHBxMmzZtSE5Opnfv3hQsWJAdO3agKApXrlxhzZo1eHt7A6m9eH9/f6pXr07Lli0JDg5m48aN2NnZERMTox6mHzFiBC9evKBmzZoULVqU4OBg1q1bh5GREfv27SN//vwEBwfToEED3Nzc6N69O2ZmZnh6er7TTHHVg6zPptYGk1JeJNw4niPZps51iD+9JUeyzap3JG7XtzrPNW89jritX+o8F8C8w2TiNk7PmeyuU4n9IWeuG7YY+h2xCzL/R1yr2aMWEftNf93nfrA82zNedGygtW3ZbDnyztsYPXo0hw4d4tixYxQqlLmZ//Xr16dYsWJs2LDhnfNfJZd9r3mzgIAAjI2NqVu37ivLNGzYkOvXr3Pt2jWGDRtGt27dOHToEF999RUhISGsXLkSCwvNc0lFihRh9erVVKxYkZ9++omlS5dSo0YNhg0bBoCp6b+zhWvWrMnHH3/Mo0ePmDlzJr///jtz5szBzc1NY5tt2rTB3NycDRs2MH36dH755Rfq16/Pzz//rJ7FXqRIET777DMiIyP55JNPGDduHKdPn9bW4RJCCJEFUVFRHDlyhFq1amXYWIeHh6db9ssvv/D06dPXtkvakOeGxH/44Yc3lhk/fjzjx49Xv54+fTrTp2v2BjKarObi4sLq1as1lqVdM/3f6fq9e/emd+/eGstq19a8Q1KzZs0ynHn+X507d6Zz585vLCeEEO+lXNR13LdvHwkJCRleew3QpEkTmjRpQrly5TAzM+PcuXPs3LmTsmXLppuQpm15rsHOTvHx8ZiZmWm8/vnnn3F0dKRIkSKveacQQoi3ZWCYs5e5vmznzp1YWFhkOEcKoHnz5pw7d459+/ahUqkoVqwY/v7+DB8+PMv3/8gqabBf0rlzZ6pWrYqLiwsRERHs2LGDoKAg5s6dm9O7JoQQQgf+O8r6XzNmzNDRnqQnDfZLGjZsyP79+9m+fTuKouDs7MyCBQto2rRpTu+aEEK8v3LRkHhuJg32S8aNG8e4ceNyejeEEEK/5KIh8dxMvtcIIYQQeYD0sIUQQuSo3DTpLDeTBlsIIUTOkrHeTJHDJIQQQuQBee7WpEIIId4vEW/5RLiMWK/Iofuh64AMib+HEkNu5kiusX15Ep/fyZnswk7En9qcI9lm3p2JC5it81zzNhOI+3mqznMBzLtPJ27tlJzJ7vUFsd+PzJFsixELczY7B+5jbjFqUbZnyDnszJEGWwghRM6SBjtT5By2EEIIkQdID1sIIUTOkh52pkiDLYQQIkcZGEiDnRkyJC6EEELkAdLDFkIIkbNkSDxTpIedBQsWLMDFxYVnz57l9K4IIcT7w9BAez/vsSz3sK9fv86iRYv4+++/efbsGdbW1jg6OuLj48OoUaOyYx8BWLt2LRYWFnTo0CHbMoQQQojcKksN9pkzZ+jbty/29va0b9+eokWLEhwczIULF1i8eHG2N9h2dnbSYAshxPvGUAZ7MyNLDfaSJUuwsLDgl19+wdbWVmNdcHCwVndMn8XFxWFubp7TuyGEELrxng9la0uWGuz79+9Trly5dI01QJEiRTRenzhxgh9++IFLly6hKAoeHh6MHTuWKlWqqMssWLCAhQsXsnv3bhYvXszRo0cxMDCgadOmTJo0ifz58wPg6+vLo0ePuHv3Li4uLgCUKFGCw4cPA6BSqVi2bBkBAQE8evQIa2trGjVqxIQJE7CyslLn+fr6UqZMGYYNG8bXX3/N9evXKVWqFJMnT6Z27docO3aMuXPncuvWLRwdHZk+fbrG/qaJiIjgq6++euX+vu0xWLZsGUeOHMHS0lJdt+wwevLn/HXub3yqejH388kZlklJSaHH0PEUs7d7ZZm8YMy8dfx19S4+bmWZM7o7AHtPXuTHgKMoikK5kkX4fEhHTIw1/yk8CA7lw+83EhUTj497WT72b5OlS09i4lUMWrKbpOQUUhSF7nXc6ejjyt/3Q5i66SiJSSm0rlqeIU3Sf74ePI9k4rpDRMWp8ClfnCkd6mQtOyGRQat++zfbx5mOVcvSYm4A+U2NMTAwwK6AOd/3qp/uvR/98gdXn7wgn6Eh9V2KM7qxV6Zz1dlrjpGUkkJKikJ373I0dytFv1VH1GUeh8cwtL4bvXzKa7x32e9X2XL2DvGJyRyZ0CZLuWniEpPpsPYPmpQrwri6zgza8hcRCYkkpyg0LV+EIT5l073nz/uhzD1+g6QUhZoOhZhQz0Ur2QApikKfTacomt+M2a3SH8sH4bFM3HeR6IQkvEvZMqVhhbe6xCkuMZkO6/+kSVl7xtUp/2/25r8oWsCU2S08073n1MMwvj1+kxQFClmY8FUzd6zNjLOcLXQnS+MQJUqU4OrVq1y7du215Xbt2sXAgQMxMjJizJgxjBkzhvDwcPr27cuFCxfSlR87diwRERGMHTuWZs2a8csvvzB69Gj1+smTJ2NnZ4eTkxOzZs1i1qxZTJ6c2ogoisLIkSNZsmQJderU4ZNPPqFdu3YEBATQr18/EhMTNbIePnzImDFjqFOnDuPHjycuLo5hw4axZ88ePv74Y5o2bcrYsWN5/vw5o0aNQqVSZXl/3+YYpK0fPXo0ffr0ee3xfVe9OrXhy4/HvbbM1l0HKFGsaLbuhy70aFqTz4d0Ur9WFIU56/fy0+QBbP0q9Xd26K/L6d43d8N+hrb3ZdeccYRGRHPs/PUs5ZqZ5OOnYX5sGteRNaPasfzwecJj4pm57QRf9fBl2wedOXrlHreehqV777zdgQxtUoWdH3UlNCqO36/ez1q2sRE/+fuyaVhz1gxswvLfrxAemwDAqgGN2TSseYaNNYCfVxl2jGrFxqHNuPgwlFN3sjZyZmacj5/61mfT4CasGeDL8hPXSUxOYdPgJmwa3ISNgxpTwMyEhs7F0723ZtkirOnvm6W8//rp9F08ilirX89tXYlNPWqyqUdNTtwL5VpIpEb5FEVh+qErzG1diS29apGQnMLJe6FayQbYfvkRJaxePVo278RNhvqUJaBvHcJiVfwe9Pztsv8KwqOIlcay7VceU8LK7JXv+ebYDb5q5s6m7j642hXgl0uP3ipbGwwMDbT28z7LUg974MCB9O/fn/bt2+Pu7k61atXw8fGhZs2amJqaAhAbG8tnn31G27Zt+eqrr9Tv7dq1K61ateLbb79l1apVGtstUqQIy5YtU3+ztLOzY9GiRRw/fpw6derQuHFjZs+eTeHChWnbtq3Ge3ft2sWxY8dYuXIlNWrUUC/39vZm8ODB7N69m3bt2qmXBwUFsXbtWqpXrw5AxYoV6dWrFx9++CEBAQE4OTkBULRoUcaOHctvv/1Gs2bNsrS/b3MMypQpw4IFCzL/y3gH3lU8OXXu4ivXR0RGsffQMQb17sLG7Xt0sk/ZxbuiE6evaj6QRFEU4lUqklPMiFclUrhggXTrL956oO6R+9WpzNFz16hf2TXTuUaGhpibpH4fViUlkZKiEKdKIjlFwbl4IQBaVC7H0Sv3KVf03xErRVG4eD+E2X1Sn17kV7U8R6/cp17F0m+ZnUyKopDZZ/LVLl8MgHxGhpS3tyYkKjbTuanZBpgb5vsnO7WH/3L0hYehFLI0pYSNZbr3uhdPP3KXFffCY7j7Iob6Zey4FRoNQH7T1H1JTEkhKTklXe81PC4RS2Mjiv/TqHqXtOXQ7WBqli70ztkR8YnsvxFM/+qObL74MN17FEXh4tNwZrdM7f22rlCcY3efUa+MXRazY//JLsyt0Jh/s28G07+qI5svpc+G1JuVxKiSAYhNTKKMjUWWcrXqPW9otSVLPeyaNWuybt06GjZsyK1bt1i+fDlDhgyhVq1abNmyBYA//viDiIgI/Pz8CAsLU//ExcVRq1Ytzpw5k67X26tXL41/SL179wbg6NGjb9ynvXv34ujoiLOzs0aeh4cHFhYWBAYGapR3dHRUN9YAXl6pw1SVK1dWN9YvL79/P33v5k37+zbHoHv37m+sq658t3Q1Q/y7YWj0/k0EMTAwYFJfPzpOWkCjkV9jYWZC9QpOGmXCo2OxsjRX/46L2FoR8iIqy1mRcQl0+XYLzT5fT98GnoRFx2Fv/e8fxSLWloRExGhmxyZgZW6qzrYvmJ+QSM0ymctW0WXxPpp9G0Df2hWwsUzdZv8Vh+m59AAHrzx47fuj4xP5/eZjqjnaZz07XkWXJb/SbN5u+tZ0xsbCVL3uwJWHNHMrleVtZsbc328yula5dMv7bjpFo2VH8XEohIud5pczG3NjYhOTufk8ihRF4cidEJ5FJ2gle+HJWwzyLoPRK4a4w+MTsf7nFAVAkfymhLxN9ombjK75n+w/bzOo2quzASY3cGHkzvM0Wf47N59H08qlWJaztcbAUHs/77EsX9ZVpUoVFi1aRHJyMtevX+e3335jxYoVTJ48meLFi3P37l0A+vfv/8ptREVFaZwHL11as/dga2uLtbU1jx8/fuP+BAUFcffuXWrWrJnh+tBQzeGt4sU1h+JMTEwwMTGhaFHN4d8CBVL/YUdGag6hZWZ/3+YYlCqVPX/EsurqjdtERkXjXfn1vfC8KjEpmV9+O80vX47C3taKyYs3s+vEeVrXrqQuk1Fv9G2+/1uZm7JpXEdCo2IZt+ogbqXS95z++/c0o8fTG7xFupW5CZuGNSc0Op5xG4/TpGIpVvZvjL2VOcERsQxa9RvORQriUKhAuvcqisKn2wPpUr08Ra3T94TfmG1mwqYhTVKzN5+kSYWSFMpvhqIoHL72iJX+DbO8zTf57XYIpW0sKG1jyYUnERrrVnXxJkaVxAd7LnIrNJpyhf6da2JgYMAXzdz54rerpKRApeIFiUtMfufsayGRRMYnUq2kLX89TH/aA7TzOfvtzjNKF7SgtI0FF56Gp2Y/iyIyIZFqJW346+GLV7537fn7LG5bGVe7Asw7cZPlZ4IYVL1MFvdA6NJb3+nMyMiIihUrUrFiRapUqYK/vz8BAQGUKZP6C//qq6/STURL89/JWRlNssjoD1dGUlJSKFeuHFOmZPxsXhsbG43Xhq+4fMDIyCjD5Rn+AX3D/qb9f1aOgZnZq8816dKFy9c5e/EyTTv3J0GlIjY2jmmzFjDtw+y7ZE+Xrt9/Qj5DQ4oVLghAo2punL56R6PBtilgQWRMHIqiYGBgQHBYJHYF0zdsmVWogAXOxWy5GxJOSMS/Q8zBETEULqA5DGljaUZkXII6OyQ8msJWbz9UWSi/Gc5FCnLmXghN3RwAKGJtgY9TEa4/Dc+wwZ776wWszU3oUyvzpwBenW3NmfvPaVqxJOcePKeotQVFrbU/9Pr30wj233jKrzeDiUtMJilFwdLESD3JzNIkH9VL2nAi6LlGgw1QubgNKzt7A7D72pN0X6LeNvvc43BarvgdVXIKMaokZhy6wieNKqrfZ2NuTERC4r+fs+gECluavibpFdk3g/n1Vsg/2Sn/ZEfQctWJf7MPX+UT3wrq94XFqbj7IhbXf0YcmpQrwuJTOfMse0CGxDNJK7cm9fRMPQcTEhJCvXr1gNReZ61atTL1/qCgIBwdHdWvw8LCiIyM1OgNv2rmpIODA5cvX6ZGjRqvbIy17U37m9ZbzsoxyC26tW9Jt/YtATh17iI/b9n13jTWAPY2Vtx48JTImDisLM0JvHIbp+KaPV8DAwM8ypXi2Pnr1K/sys7j52hXr2qWckKjYjE1zkd+MxOi41WcufuEzjUrYGRowI3HoTgVsWHf+dtM61wvfbaDPb9fTT1vvfPMTdp5Z23Wcmh0PKb5jMhvZkx0fCJn7oXQqVpZYhISsTQ1JjJOxZl7IXT1Lp/uvZtP3+L60xcs7JnxpLRMZRsbkd/UmOiERM7ce07nqqmnHA5ceUizitkzkjS6dnlG106tT8CVx9wKjaZnpdKExaqwtTBBlZTCn/fD6FHJId1708rEqpLYcOE+nzVxf+fsIT5l1V8W/noYxoYLDzQaa0j9XXsWLcjvQc+pV8aOXVcf07Ziiaxl1yqnHooPuPqYW6ExDPF2Yoi30z/ZL9jw9wONxhrAyjQfL+JUPIqMo4SVOYEPw3AsKOewc7ssNdgnT57Ex8cnXcOYdu7WycmJunXrYmVlxeLFi6lZsyYmJiYaZcPCwtJdFrZ27Vrq16+vbpTXrFkDoG78AczNzYmI0BzqAmjZsiVHjx5l7dq16WZXJyUlERMTg7W1dbr3vYs37e/bHANdGjzuE67euE1cfAKNOvRl3hdTWLR8HdMnjsa+cNYm2+R2Q2et5FrQY+ISEmkyehZzx/Sgf+t69PlsKUaGhpQraU+nhqlzGqb9uI3Ovt64OZVgTNemTPx+E7PW7sanYlnqVXLOUm5wRAzTNh0DUoc+u9Vyw7l4IT5qV4uP1h9GlZhMq6rlKV8s9XMwffMxOtWogFspO/7X0puP1h1m1o6TeJcvQV3X9I3Ma7MjY5m249Q/2QrdvMtjaWJMv+WHgNSZ0T18nClnn/rvYvqOU3SqVg63ErZ8tecMxW0s6bn0AAA9ajjTrrJTxkEZZUfFMW3nX6CAAnSrXhbnIgVJURQOX3vMugGas8Cn7/yLTlWdcCtuy+Kjl9l2LojIeBVN5+3Gv5YzPTL4UpFZ0aokxu0+T1KyQoqi0KhcEeo7pX45m37wMp08SuJWxJrlf93lj39mhvev5kgZ26yfBsiKl7NH1y7HpL1/883R63iXsqVumcLZm334Kp3cSuBWxIpJ9V34364LGBoYYJ/flM8aV3zzBkSOMlAyO/YMtG7dmtjYWBo3bkzZsmVJSUnhypUr7NixA3Nzc7Zs2ULJkiXZu3cv48ePx8HBAT8/P+zs7Hj69CmBgYGYm5vz448/Av9eg+zs7EyRIkVo2LAh165dY9OmTdSsWZOVK1eqsz/99FM2bdrEyJEjcXR0xMLCAl9fX1JSUhg1ahQHDx6kadOmVK9eHQMDA+7du8f+/fv56KOPaNWqFfDvddg//fSTRr08PDxo1aqVxozuyMhIqlevzqBBg5gwYUKW9zerx+D48ePY2WVtduirJIbc1Mp2ssrYvjyJz3NmWM24sBPxpzbnSLaZd2fiAmbrPNe8zQTifp6q81wA8+7TiVub8WmobM/u9QWx34/MkWyLEQtzNnvBcN3njlqU7RkxUzprbVuWX+TM3wFdyFIP+8MPP+TAgQMcP36cX375BZVKhb29PX5+fgwdOpSSJUsC0KJFC4oUKcKSJUtYtWoVcXFx2NnZ4eXlRefO6X8x3377LT/88APffvstBgYGdOjQQX2ddZpRo0YREhLCihUriI6OpkSJEvj6+mJoaMj8+fNZs2YN27Zt4+jRo5iYmFC8eHHatGlDtWrV3uHwZCwz+5vVYyCEEHpLhsQzJUs9bG3Ljt6lkB62rkkPW8fZ0sPWba4uetifdNHatixnbNLatnIbeR62EEKInPWeXz+tLdJgCyGEyFkyJJ4p8rVGCCGEyANytMEeNWoU169fl/PXQgihzwwNtffzlgIDA3Fxccnw548//tAo+/z5cz744AN8fHyoXLkyffr04dKlS+96FN5IhsSFEELkrFw0JN6zZ0/1syTSlC//7/0A4uPj6du3L8+fP8ff3x8rKyvWr19P79692bx5M+XKpb+fvbZIgy2EECJn5aJJZ1WrVlXfuyMjGzZs4NatW6xbt0592XDLli1p3rw53377LYsWZd+s+txzlIQQQohcICYmJt0TFdPs2bMHV1dXjXt82NjY0Lp1a44dO0Z0dHS27Zf0sIUQQuQsLQ6JN2rU6LXrDx069Nr1H3/8MbGxsRgaGlK5cmXGjx9P1aqpzxJISUnh2rVrtG3bNt37PD09Wbt2LTdv3qRy5cpvX4HXkAb7PWRs//b3X37n7MKZv++0tpl559wd5MzbTMiZ3O7TcyQXUm9gklMsRizUz2wd3MQkJxjo6MFNr2NsbEyzZs2oW7cutra23L59m+XLl9O3b19WrVpF1apVCQ8PJyEhIcOJ0vb2qc+ODwkJybZ9lAb7PZSTdxuT7Pc/V7L1Kzsnv4S/jTf1oF+lSpUqVKlSRf26UaNGtGjRAj8/P2bPns3PP/9MQkICQLoHOgGYmqY+GjU+Pv6t8jMj57/WCCGE0G+GBtr70aJSpUrRrFkzzp8/T1xcnLpRVqlU6cqmNeZmZmZa3YeXSQ9bCCFEzspFs8T/q3jx4qSkpBAZGYmdnR0mJiY8e/YsXbm0ofC0ofHskHuPkhBCCJHDHjx4gJGREdbW1hgaGlKhQgUuXryYrtzFixcxNjbWuGZb26TBFkIIkbNywZB4eHh4umW3b99m//79VK9eXT3U3bx5c65du8Zff/2lLvfixQt27dpFnTp1yJ8//1vvw5vIkLgQQoiclQtmiY8dOxYLCwvc3d0pVKgQd+/eZcOGDeTLl4+JEyeqy3Xv3p3NmzczYsQI+vXrR4ECBVi/fj0qlYpx48Zl6z5Kgy2EECJnGeT8rUkbNmzIrl27WLlyJdHR0RQsWBBfX1+GDx9O2bJl1eXMzc1ZvXo1X3/9NcuXL0elUuHh4cHMmTNxdnbO1n2UBjuLHj58SKNGjRg/fjyDBw/O6d0RQgihBX369KFPnz6ZKmtnZ8fs2bOzeY/Sy9UNdnBwMEuWLOHYsWMEBwdjYWGBp6cnvXv3pl69em+1zUWLFuHs7Ezjxo21vLdCCCHeSi4YEs8Lcu1ROn/+PH5+fmzbto0GDRrw6aefMmDAAJ4+fcqgQYP49ttv32q7ixcv5uDBg1reWyGEEG8tFzxeMy/IlT3syMhIRo0ahZGRERs2bMDJ6d877fTv359x48axZMkSKlSoQIsWLXJwT7NPcnIyycnJGd5RRwghhP7JlV9HNmzYQEhICB988IFGYw2QL18+Pv/8cwoUKMCCBQs01imKwrp162jbti2enp74+PjQr18/9fR7FxcXVCoV27ZtUz+YvHfv3ur3P378mPHjx+Pj44OHhwdt27Zl+/btr9zPNWvW4Ovri6enJ126dOHChQvpyoSEhPDJJ59Qp04d3N3dadq0KcuWLUNRFHWZhw8f4uLiwtKlS1m3bh1NmzbFw8ODc+fOvc3hy5QjJwJp3W0gLbsO4JeAfenWh0dEMmridPy6D6JNz8Hcf/g42/ZFCKHncsFlXXlBruxhHz58GBMTk1c+k9TKyopGjRqxfft27t+/j4ODAwCffPIJmzdvplatWrRv3x6As2fP8tdff1GtWjVmzZrFlClT8PLyokuXLgAULlwYgLCwMLp3705ERAS9evXC3t6ePXv2MHHiRCIiIujbt6/GPuzcuZPIyEh69OhBSkoK69atw9/fn61bt1KmTBkAQkND6dq1K4mJiXTt2hU7Ozv++usvZs+eTUhICFOmTNHYZkBAALGxsXTp0gVLS8sMbzCvDUlJyXyzYBnLF3xFfgsLOvcfRZMGtbG2KqAuM3PeDzRvVI9WTRsSFx/PS98vhBBCu3Lxnc5yk1zZYN++fZsyZcqo79uakQoVKrB9+3Zu3bqFg4MDgYGBbN68mS5dujBjxgx1OX9/f3Vvtm3btnz88ceUKlUq3ePRli1bxtOnT1m5ciU1a9YEoFu3bvTs2ZN58+bRoUMHChT4t0G7e/cu+/bto2TJkkDqxfStW7dm4cKFzJkzB4B58+aRkJBAQECA+otBt27dsLe3Z8WKFfTt21f9foBHjx6xf//+bL21HcDfV69TtowDRexS96luzeqcCDxDyyYNAIiKjuHKtZt8PfVDAMyz8d64QgghMidXfq2JiYl5491iLC0tAdQPC9+/fz8AY8aMSVfWIBPX+P32229UrFhR3VhD6hNZ+vbtS2xsLIGBgRrlfX19NRrbMmXKUKdOHY4dOwakDs/v37+fBg0aYGhoSFhYmPqnbt26pKSkcPr0aY1tNmrUKNsba4Bnz0Mp8s8XCIAidoUJfvZc/frR46cULGjFxGlf08l/BLPmLyUpKTnb90sIoadk0lmm5MoetqWlpbohfpWYmBh1WYD79+9TqFAhChUq9FaZjx49omnTpumWlytXTr3+ZY6OjunKOjo6cuTIEaKiolCpVERERLBlyxa2bNmSYWZoaKjG67Sh/eyW0fD2y19qEpOT+PvKDaaMHY5zuTJMmjGb7XsO0KnN+znBTwiRswze83PP2pIrG+yyZcty+fJlEhISXjksfu3aNQD1jdYVRclUTzqrlFecvM0o6+WyKSkpALRu3ZqOHTtmuI3SpUtrvM7Ox7K9zN6uEMHP/+1RBz97jmdFF/XronZ2lCpeFFfn1Lv7+Natyelz6W92L4QQQndyZYPdsGFDzp07x549e9STx14WFRXFoUOHKFu2rLpXWrp0aY4fP05oaOhre9mvatRLlCjBnTvpHw6ftqxEiRIay+/evZuu7L1797CysqJAgQJYWFiQP39+kpKSqFWr1qsrmwM8Krhw6849gp89J7+FBb+fPM2wfj3U6+0K22JT0JqHj59SsnhRTp+7iFPpUjm4x0KI95pMOsuUXHmUunXrpr71W1BQkMa65ORkPvnkEyIjIxk5cqR6ebNmzQD47rvv0m3v5Z6vubk5ERER6co0bNiQK1eu8Oeff6qXJSYmsnr1aszNzfHx8dEo/9tvv/Hw4UP167t373L8+HHq1q0LgJGREc2aNePgwYNcvnw5XV5UVBSJiYmvOwzZJl8+Iz4YOYj+oz6iU7+R9OvRkYLWVgwb/wkhz1KH6T8cPZixUz6nfe9hRMfE0qlN8xzZVyGEHpBz2JmSK3vY1tbWzJ8/n8GDB9O+fXs6deqEs7Mz4eHh7Ny5k+vXrzN48GBatmypfo+Pjw8dOnRg48aNPHz4kPr16wOpd0xzcXFh6NChALi7u3Py5El++uknihYtiq2tLTVr1mTQoEHs3r2bYcOG0bt3b+zs7NizZw/nz59n0qRJGjPEIfV8dc+ePenZsycpKSmsXbsWExMTRowYoS4zYcIETp8+Tffu3dV1iI6O5ubNmxw4cIADBw5k26Vbb9Kwbg0a1q2hsWzxnH9n17tXcGbzioW63i0hhD56zxtabcmVDTZAlSpV2LlzJ0uXLuXQoUP8/PPPWFpa4u7uzvjx49UN8su++OILXFxc2Lx5M9988w2Wlpa4ublRvXp1dZkpU6Ywbdo0Fi5cSGxsLN7e3tSsWRNbW1s2bNjAnDlz2LhxI7GxsZQpU4avv/6adu3apcvy8/PD3NycFStW8OzZM1xdXZk0aZLGU11sbW3ZtGmT+naomzZtokCBAjg6OjJy5Eisra2z5dgJIYR4/xgor5pVJfKsxOfpz8XrgnFhJ8nWg1zJ1q9s48JOby70juJWT9Latsz7zNTatnKbXNvDFkIIoSdkSDxT5CgJIYQQeYD0sIUQQuQsuawrU6TBFkIIkbNkSDxT5CgJIYQQeYD0sIUQQuQs6WFnijTYQgghclY2PAfifSRfa4QQQog8QG6cIoQQIkfF/fK51rZl3uljrW0rt5Eh8feQvt2JSV+z9bHOkv1+3ulMzmFnjjTYQgghcpZch50pcpSEEEKIPEB62EIIIXKWDIlnijTYQgghcpYMiWeKHCUhhBAiD5AGO4tcXFz49NNPc3o3hBDi/WFoqL2f95hWard161ZcXFxwd3fnyZMn6dYPGDAAX19fbUQJIYR43xgYau/nPabV2iUmJvLDDz9oc5NCCCGEQMuTzipUqMCWLVsYOnQoxYoV0+am9YqiKKhUKkxNTXN6V4QQIvvlgqHsixcvEhAQQGBgIA8fPsTS0hI3NzdGjhyJh4eHutyCBQtYuHBhhtu4fPky+fJl31xurR6lwYMHA7yxl52SksLSpUtp1qwZ7u7u1K1blxkzZhAVFaUu89lnn+Hl5UVMTEy692e07u+//2bIkCFUq1YNT09POnXqxG+//abxvrSh+1OnTjFz5kxq1qxJ1apVmTRpEgkJCcTGxvLpp5/i4+ND1apVmT59OklJSRnWYc+ePbRs2RIPDw/8/Pw4cuRIujLR0dF8/fXX+Pr64u7uToMGDZg9ezYqlUqjXNp58b179+Ln54eHhwe7d+9+7TEUQoj3Ri44h/3jjz+yd+9evL29mTRpEv7+/ty9e5cuXbpw9OjRdOU//fRTZs2apfFjZGT0LkfhjbT6VaB48eJ06NDhjb3sadOmsXHjRnx9fenTpw83btxg/fr1XLhwgZ9//hljY2NatmzJunXrOHToEG3atFG/Nzk5mf3791O/fn0sLS0BOHXqFAMGDMDZ2Zlhw4ZhYmLCnj17GDZsGPPnz6dp06Ya+V9++SW2traMHDmSS5cusXXrViwsLLh//z7m5ub873//488//2T9+vWULl0af39/jfefO3eOffv20bt3bywtLdm4cSMjRoxg5cqVVK9eHYD4+Hh69+7Nw4cP6dKlCw4ODly9epUVK1Zw584dFi1apLHNM2fOsH//fnr16kXhwoVxctLB7QCFEEIA4O/vz+zZszExMVEv69y5M61atWLevHnUr19fo3zTpk2xs7PT6T5qve8+dOhQtm7dyg8//MD06dPTrb9x4wYbN26kTZs2fPPNN+rlTk5OfPnll2zfvp3OnTtTtWpVihcvzp49ezQa7MDAQJ4/f06rVq2A1OHjTz/9lMqVK7Ny5UoM//mG1bNnT7p3786sWbPSNdg2Njb89NNPGPzzSLdHjx6xbt06/Pz81PvUo0cPWrZsyZYtW9I12Ddu3ODnn3+mSpUqALRv355mzZoxZ84cNmzYAMDKlSu5c+cOW7dupWzZsur3li9fns8++4y//vqLatWqqZffvn2bbdu2UaFChawdcCGEyOtywWSxtL/nL7O2tsbHx4cDBw6kW6coCtHR0VhYWKjbneym9ZSXe9kZzRhPGzoeMGCAxvLu3buTP39+9XoDAwOaN2/O8ePHiYyMVJfbs2cPlpaWNGjQAIBr165x9+5d2rRpQ3h4OGFhYYSFhREeHk7dunV58OABjx490sjq2LGjurEG8PLyQlEUOnXqpFHOy8uL+/fvp6uDu7u7xi/XxsaG1q1bc+7cOSIiIgDYu3cvVapUwcbGRr1PYWFh1KpVC4A///xTY5uVK1eWxloIoZ+0OCTeqFGj1/5kVUhICDY2NumWN2vWjKpVq1K5cmXGjBnD06dPtXEkXitbzo6/rpf98OFDDAwM0g35mpiYUKpUKY3GtVWrVixfvpwDBw7QqVMnEhMT+fXXX2nUqJF6Qtbdu3cBmDJlyiv3JzQ0lBIlSqhf/3eovkCBAhkuz58/P/Hx8ahUKo1hEkdHx3QZacuePHmCtbU1QUFBXLt2jZo1a75yn17m4ODwyv0XQoj3Wi7oYWfkzJkznD59WmOU1crKil69euHl5YWpqSlnzpxRn9LdunVrho27tmRLg/3fc9mZpSiKRs/X3d0dR0dH9uzZQ6dOnThx4gTh4eHq4fC09wCMHz8ed3f3DLf73y8Hr5oY8Kphjcw8Mvy/ZVJSUqhRowZDhgzJsHyRIkU0XsuMcCGEeHeHDh3SynZCQ0OZMGECxYsXZ+TIkerlffv21SjXrFkzKlWqxNixY1m5ciVjx47VSn5Gsm3++cu97JeVLFkSRVG4c+cOrq6u6uUqlYqHDx9So0YNjfItW7ZkyZIlhIWFsXv3bgoWLEjt2rXV60uVKgWApaWlerg5uwUFBaVbdu/ePeDfXrqDgwMxMTE62ychhMizcsFlXS+Ljo5m0KBBxMTEsHbtWvLnz//a8i1btmT27NmcPHkyWxvsbDtKL/eyXx7bT5tpt3LlSo3yGzduJDo6Wn1uOk3r1q1JTk4mICCAQ4cO0aRJE4yNjdXr03rhy5cv17gsLE1YWJj2KvWPS5cuce7cOfXrFy9esGvXLipVqoS1tTWQ+gv8+++/M/y2Fx8fn+HlakIIoZdy0Z3O4uPjGTZsGHfu3OGHH37A2dk5U+8rVqyYeg5TdsnWp3Wl9bJv3bqlPofs4uJC165d2bhxI1FRUdSqVYubN2+yceNGPDw8aNeuncY2ypYti4uLC/PnzycmJkZjOBxSh7G/+OILBg4cSMuWLenYsSMlSpQgJCSE8+fP8/jxY61f0+zs7MzQoUPp1auX+rKu6Ohoxo0bpy4zYMAAjh49yqhRo2jTpg0eHh4kJiZy584d9u3bx9KlS6lUqZJW90sIIcTbS0xMZPTo0Zw7d45FixZlOHP8VR4+fJjtNwzL1gY7rZe9ceNGjeXTpk2jZMmS/PLLLxw9epSCBQvSvXt3xo4dq9F7TtO6dWvmzJlD4cKF8fb2Tre+WrVqbN68me+//179RaBQoUJUqFCBUaNGab1elStXpkaNGixYsIAHDx7g6OjIwoUL8fHxUZcxMzNj1apV/Pjjj+zevZtdu3ZhaWlJyZIl6dOnj1xnLYQQaXLBkHhKSgoTJkzg999/Z/bs2dSrVy/DcuHh4RQsWFBj2S+//MLTp0/p0qVLtu6jgZKZGVUiT0l8fidHco0LO0m2HuRKtn5lGxfO/s5F/O9rtLYts7q93+p9M2fOZOXKldSuXZu2bdumW5+2rHr16jRp0oRy5cphZmbGuXPn2LlzJ05OTmzatOmN57vfRbb2sIUQQoi84MqVKwCcOHGCEydOpFuf1mA3b95cfbdLlUpFsWLF8Pf3Z/jw4dnaWIM02EIIIXJaLhgSX7Mmc738GTNmZPOevJo02EIIIXJWLmiw8wI5SkIIIUQeID1sIYQQOSuX3po0t5EGWwghRM6SIfFMkQZbCCFEzpIedqbIURJCCCHyAOlhCyGEyFmGGT9BUWiSO50JIYTIUfFnA7S2LbMqbbS2rdxGetjvIX27daK+ZutjnSX7/bw1qcgcabCFEELkLJklninSYAshhMhZMks8U+QoCSGEEHmA9LCFEELkKAMDmSWeGdJgCyGEyFlyDjtT5Chl0datW3FxceH8+fM5vStCCCH0iNZ62Fu3bmXSpEnq1yYmJlhbW+Pi4kL9+vXp0KFDtj/cWwghRB4kk84yRetD4qNGjaJUqVIkJSXx/PlzTp06xZdffsnKlStZtGgRrq6u2o4UQgiRl8mQeKZovcGuU6cOlSpVUr8eMmQIJ0+eZOjQoQwfPpw9e/ZgZmam7dj3TlxcHObm5jm9G0IIkf2kh50pOjlKNWvWZPjw4Tx69IiAgH9vQRcUFMTYsWOpUaMG7u7u+Pn5sWXLlnTvV6lULFq0iObNm+Pu7k6tWrUYNmwYN2/eVJdRFIW1a9fi5+eHh4cHPj4+jB8/nqdPn2psq3fv3jRv3pxbt27Rp08fvLy88PX1Ve/XxYsX6d69O15eXjRu3JiDBw9mWKf4+Hg+++wzfHx8qFy5MqNHjyYkJCRdub///pshQ4ZQrVo1PD096dSpE7/99ptGmbTz4n/++SdffPEFtWvX1vjSI4QQQujsa03btm0BOH78OAC3b9+mS5cuXLlyhX79+jF58mSKFy/O5MmTWblypfp9KSkpDBs2jO+++w5nZ2c++ugj+vXrR2JiIpcvX1aXmzp1Kl9++SXu7u5MnjyZXr16cfz4cXr06EFkZKTGvkRHRzNo0CDc3Nz48MMPyZ8/PxMnTmT37t0MHz4cb29vxo8fj4GBAWPHjuXZs2fp6vPFF19w+fJlRowYQdeuXTl8+DADBgxApVKpy5w6dYoePXrw/Plzhg0bxgcffICxsTHDhg3jwIED6bb5+eefc+nSJYYMGcLo0aPf6XgLIUSeYWikvZ/3mM4u6ypatCgFChTgwYMHQGqDV7hwYbZs2aIe+u3Rowdjxoxh/vz5dOnSBQsLC7Zv387x48cZM2YMw4YNU29v0KBBpD235OzZs2zcuJGZM2fSoUMHdZkmTZrQsWNH1qxZw4gRI9TLnz17xtdff027du0AqF+/Po0bN2b8+PGsWLGCmjVrAlCpUiU6d+7Mzp076d+/f7o6rVmzBhMTEwDKlSvHlClT2LZtG127dkVRFD799FMqV67MypUrMfznHE3Pnj3p3r07s2bNomnTphrbMzc3Z82aNeTLJ1fbCSH0iAyJZ4pOj5KFhQUxMTFERETwxx9/0KJFC+Li4ggLC1P/1KtXj5iYGC5dugTA/v37sbKyYsCAAem2Z2BgAMDevXuxsLCgfv36Gtuyt7endOnS/PnnnxrvMzMzo02bf5/oUrJkSQoXLkzx4sXVjTWAu7s7RkZG3L9/P112t27d1I01QLt27bCysuLo0aMAXLt2jbt379KmTRvCw8PV+xQeHk7dunV58OABjx490thmly5dpLEWQgiRIZ22DrGxsRQqVIh79+6hKAoLFy5k4cKFGZYNDQ0F4P79+zg6Omo0jv8VFBREbGwstWrVynB9WsOepkiRIuoeb5r8+fNja2ursczQ0BALC4t0Q+oApUuX1nidL18+SpYsyePHjwG4e/cuAFOmTHnlfoeGhlKiRAn161KlSr2yrBBCvLdklnim6KzBfvr0KVFRUTg4OJCSkgKAv78/9evXz7C8s7MzkDqZ7L8N7n+lpKRQsGBB5s6dm+H6/862/m9jncbIKOPzHxk9MjyjfXq5XNr/jx8/Hnd39wy36+Sk+dg6mT0vhNBHBjIknik6a7B37NgBpF72ldaTNDIyemWvOE3p0qU5d+4cKpXqlb1sBwcH/vjjDzw9PXV2c5agoCBq166tfp2UlMSjR4+oXr068G9v2dLS8o11FEIIId5EJ19rTp48yaJFiyhZsiRt2rShUKFC1KhRg02bNvHkyZN05cPCwtT/36xZMyIiIjRmjqdJ68W2atWKlJSUDIfXFUXR2J62bNiwQWNG+Pbt24mMjKRevXpA6vlvR0dHli9fTlRUVLr3Z8c+CSFEnmRoqL2f95jWe9jHjx/n3r17JCcn8/z5cwIDAzlx4gTFixdn8eLFmJqaAjBt2jS6d+9OmzZt6Ny5M46Ojrx48YLLly9z/Phxzp49C6ReDhYQEMCcOXO4fPky3t7eJCQkEBgYSIsWLWjXrh3VqlWjd+/erFixgmvXrlGvXj3MzMx4+PAhBw8epFOnTgwePFjbVaVPnz60atWKR48esXbtWsqVK6eepW5oaMgXX3zBwIEDadmyJR07dqREiRKEhIRw/vx5Hj9+zO7du7W+T0IIkefIkHimaL3BXrBgAQDGxsYULFgQZ2dnJk+enO5e4mXKlGHr1q18//337Ny5kxcvXlCwYEHKlSvHxIkT1eWMjIxYsmQJP/zwA7t27eLQoUNYW1vj5eWlcW74448/xt3dnfXr1zN//nwMDAwoWrQoderUoXHjxtquJlOmTGH//v0sXLgQlUpFgwYN+OSTTzSG7atVq8bmzZv5/vvv2bhxI1FRURQqVIgKFSowatQore+TEEKI95eBktGMKpGnJT6/kyO5xoWdJFsPciVbv7KNCzu9udA7Uj24oLVtmZTy0tq2chu56FcIIUTOkiHxTJEGWwghRM56zyeLaYscJSGEECIPkB62EEKIHCU3TskcOUpCCCFyVi65DjsxMZHvvvuOBg0a4OHhgZ+fHzt37tRSJd+d9LCFEEII4NNPP2X79u307NkTZ2dnDh48yIQJE0hOTlY/3TEnSYMthBAiZ+WCIfHLly+zdetWRo8erX4cc+fOnenTpw+zZs2iZcuWr30IlS7k/FESQgih3wyNtPfzlvbu3YuhoSE9e/ZULzMwMKBXr16EhoYSGBiojZq+E+lhCyGEeG80atTotesPHTqU4fIrV67g4OBAwYIFNZZ7eXmp19etW1cr+/i2pMF+D+nizkSSnTuy9bHOkv3+yQ31CgkJwc7OLt1ye3t79fqcJg22EEKI98aretBvEh8fn+E5akNDQ4yNjYmPj3/XXXtncg5bCCGE3jMzM9N4ZHKalJQUEhMTMTMzy4G90iQNthBCCL1nZ2fHs2fP0i1PGwpPGxrPSdJgCyGE0Htubm7cv3+f8PBwjeUXLqQ+SaxixYo5sFeapMEWQgih95o3b05KSgrr169XL1MUhbVr12Jra4uPj08O7l0qmXQmhBBC77m7u9O2bVsWLFhAWFgYLi4uHDx4kFOnTvHll1/m+E1TAAwURVFyeieEEEKInKZSqVi0aBHbtm0jNDSUMmXKMHDgQNq2bZvTuwZIgy2EEELkCXIOWwghhMgDpMEWQggh8gBpsIUQQog8QBpsIYQQIg+QBlsIIYTIA6TBFkIIIfIAabCFEEKIPEAabCGEECIPkAZbCCGEyAPkXuJ66tChQ+zZs4crV64QEhJCQkICpqam2NvbU7FiRVq0aEHjxo3fq2x9rLNky+dMV9ki+8mtSfVMbGwsI0aM4OTJk1hZWeHm5oa9vT2mpqYkJCQQEhLClStXiIyMxMfHh0WLFmFhYZGns/WxzpItnzNdZQsdUoRemTFjhuLp6als3bpVSUpKyrBMUlKSsmXLFsXT01OZMWNGns/WxzpLtnzOdJUtdEcabD1Tu3ZtZe7cuZkq++233yq1a9fO89n6WGfJ1n22PtZZ6JZMOtMzUVFRFC9ePFNlS5QoQXR0dJ7P1sc6S7Z8znSVLXRHGmw94+rqyo4dO0hKSnptuaSkJLZv346zs3Oez9bHOku2fM50lS10Ryad6Znjx48zZMgQnJyc6NKlCx4eHtjZ2WFiYoJKpeLZs2dcvHiRTZs2cffuXZYsWUKdOnXydLY+1lmy5XOmq2yhO9Jg66GTJ08yc+ZMbty4gYGBQbr1iqJQvnx5Jk2aRK1atd6LbH2ss2TL50xX2UI3pMHWY3fu3FFfrxkfH4+ZmRl2dna4ubnh5OT0XmbrY50lWz5nusoW2UsabCGEECIPkDud6bnnz59rfBO3t7encOHCOb1bQgdiY2M5cuQIVatWpUiRIjm9OzqRlJRETEwMBQoUwNBQf+bcRkdHk5SURMGCBXN6V8Q7kB62HgoLC2PJkiXs2bOH58+fp1tfuHBhWrRoweDBg3Os8d6xYwdbtmxh9erVWtlebGwsW7du5datW9jY2NCiRYsMZ8qeP3+ejRs3MnPmTK3kAgQHB7Nt2zaioqKoU6cONWvWBGDdunXs3LmT6OhoPDw8GDZsGA4ODlrLfZP79+/TrFkz5s+fT5MmTbI9LzExkR07dnDy5EnCw8OxtbWlXr16tGrVSquN540bNwgNDVUfZ4ATJ06wcOFC/v77b5KTkzE2NsbHx4fx48fj6uqqldxmzZpRt25d2rRpg6enp1a2mRUbN25k69atmJmZMWjQIOrUqcPZs2eZNm0aN2/eBKBYsWKMHj2adu3a6Xz/xLuTBlvPPHjwgJ49exIWFkadOnXw8vJKdwvDCxcucPz4cWxsbFi3bp1OG5E0ixcvZv78+Vy9evWdtxUVFUXnzp0JCgrCwMAARVEwNDTE39+fCRMmaDQWAQEBTJw4USu5kHq8O3fuTHh4OAAGBgZMnTqVyMhIFixYgKurK/Hx8dy5cwcrKyu2bt1KsWLFtJI9bdq0166Pjo5m165d1K5dm1KlSqn3TRsaNGjAxx9/rL5vdVRUFP7+/ly5cgUjIyPs7Ox49uwZycnJeHt7s2zZMkxMTLSS7e/vT7FixdRfuvbv38+YMWOwsbGhYcOGFCpUiKdPn3L48GGSkpJYs2YNHh4e75zr6uqqnuzl4OBAmzZtaNOmDaVKlXrnbb/J3r17GTt2LHZ2dlhbW3Pv3j0WLVrE//73P4oXL079+vVJTk7mwIEDPHnyhO+++46mTZtm+34JLdPlXVpEzhs2bJjSsGFDJSgo6LXl7t69qzRo0EAZNmyY1rKfP3+e6Z/Zs2crrq6uWsn96quvFA8PD2X37t1KQkKC8vDhQ+Xjjz9WXFxclCFDhijx8fHqsjt27NBarqIoykcffaTUrl1buXLlihIaGqoMGDBAqVWrluLn56fcuXNHXe7s2bOKl5eX8sknn2gt28XFRXF1dVVcXFxe+fPyem3W28XFRQkICFC//uSTTxRXV1dl2bJlikqlUhRFURISEpR58+YpLi4uyqJFi7SW7e3traxevVr9unHjxkrXrl2V2NhYjXIvXrxQWrRoofj7+2sl18XFRfnuu++UWbNmKQ0aNFAf027duinr169XXrx4oZWcjHTt2lXp1KmT+rM8a9YspVq1akrv3r01blUaGxurtGzZUunatWu27YvIPtJg65kqVaooK1asyFTZFStWKFWrVtVadtofsMz8aLMBad68ufL555+nW75r1y7Fw8ND6dGjhxIZGakoivYbbF9fX+W7775Tvz5//rzi4uKi/PTTT+nKTp06VWnUqJHWsv39/ZVKlSopixcvVhISEtKtDwoKUlxcXJT9+/drLTPNfxvsatWqKZMnT86w7JAhQ5RWrVppLdvT01PZvHmzoiipDZSLi4uye/fuDMuuWLFCqVSpklZy/1vnkydPKpMnT1aqV6+uuLi4KO7u7srw4cOVffv2Zfj7eBf//ZKS9rt9eX/S/PTTT1qrs9AtmXSmZwwMDDK8RlMXjI2NKVOmTKaG4k6fPs2pU6e0kvvkyRNcXFzSLW/VqhWFChVixIgR9O7dmx9//FEreS8LCQmhZMmS6tdp/1+uXLl0ZV1dXdmyZYvWslesWMGBAwf4+uuv2bRpEx9++CHNmzdXr9fV5yA6Olp9/j4jtWvXZvbs2VrLc3Jy4sKFC3Tq1AkzMzPMzc1feSvO6Oho8uXLnj+DNWrUoEaNGkydOpXDhw8TEBDAsWPHOHz4MPnz56dZs2Z8/vnnWslKSUnRqIeRkRFAhnUzNjbG2NhYK7lCt6TB1jPVq1dn1apVNGrUSKMh+a8HDx6wevVqqlevrrVsFxcXUlJSGDly5BvLLl68WGsNtq2tbYaT6yD1j+qKFSsYNGgQPXv2pG3btlrJTFOgQAEiIyPVr9POl2f0BzPt2cXa1LRpUxo0aMDSpUv56KOPWLNmDR9//DEVKlTQak5G0r4QWFpaYm5u/spyiqKoGxht6NKlC19++SWNGjWiQYMG9OjRgwULFuDm5oabm5u63J9//smqVas0JqdlBxMTE5o3b07z5s2JjIxkz549BAQEsHXrVq012GXKlOHw4cN0794dSH0uNsDBgwdp0aKFupyiKOzdu1cn59WF9kmDrWcmTZpEjx49aNmyJfXq1cPT0zPDWxgeO3YMKysrPvroI61le3h4sHnzZlQqVaYmGClamg9ZsWJFjhw5wtChQzNc7+npyerVqxkwYAALFy7USmYaJycnbt26pX5tY2PD5cuXM2ygbt++rbUJZy8zMTFh5MiRtG/fnq+//ppOnTrRrl07OnTooPWsl02aNIkpU6YAqTPEr169qtF4pAkKCsLe3l5rud27d+fixYsMHTqUSpUq4e7uTmJiIp06daJUqVLY2toSEhLCkydPKFy4MB9++KHWst/EysqKbt260a1bNx4/fqy17fbt25fx48fTqVMnChcuzO+//06NGjWwtLRk4MCBNG7cmOTkZHbv3s25c+eYPn261rKF7kiDrWccHBzYvn07P/zwA/v27ePgwYPpyhQuXJguXbowZMgQ7OzstJbdvn17ChUqRHR0NLa2tq8t27ZtW6pWraqV3EaNGjFp0iTOnz9PpUqVMizj4uLCunXr6NevH0+ePNFKLkCLFi24dOmSxrKMGuuYmBj27t2r9R7+y0qUKMH8+fM5efIkX375JQEBAdk2LN6+fft0yzLKio+P58CBA1q/r/XMmTOpW7cuq1atYt26deovf/fv3+f+/fsULlyY3r17M2TIEAoVKqTV7MzK7NO1MqNVq1Y8e/aMtWvX8vDhQxo3bszUqVMxNTVl1KhR6isGDA0N6dKlC507d9ZattAduaxLz4WEhKS7heH7dhMNRVGIi4vL1Lm7mJgYwsPDKVGihI72LlXa6EbBggWxtLTM9rzk5GS2bt1KcHAwLVq0oGzZstmemZG0eltZWVGgQIFsyYiOjubBgwfExMSobw6kzR59XvDgwQNCQ0MpXbo0NjY2Ob074i1Jgy2EEELkATIkrseCgoLSPSTA3t6eihUr4ujo+F5m62OdJVs+Z7rKFtlLGmw9FBgYyFdffcW1a9cynNhlYGCAi4sLH330ETVq1HgvsvWxzpItnzNdZQvdkCFxPXPixAkGDx5MqVKl6Nq1K56enhnemnTjxo08evSIJUuWULt27TydrY91lmz5nOkqW+iONNh6pmvXrhgaGrJq1arXXlqlUqno06cPKSkpbNq0KU9n62OdJVs+Z7rKFrqjP8+XEwBcu3aN9u3bv/E6aBMTEzp06MCNGzfyfLY+1lmy5XOmq2yhO9Jg65kCBQpk+jrjx48fkz9//jyfrY91lmz5nOkqW+iONNh6plmzZqxYsYKdO3e+8k5iiqKwc+dOVq5cqXHv6byarY91lmz5nOkqW+iOnMPWMzExMQwfPpzAwEAKFiyIm5sb9vb2GBsbk5iYSEhICFeuXOHFixdUr16dH374QWs38sipbH2ss2TL50xX2UJ3pMHWU7/++it79uxRX6+Z9uAJe3t73NzcaN68ebY94D6nsvWxzpItnzNdZYvsJw22EEIIkQfIOWwhhBAiD5AGW4+FhoaiUqleuT4+Pl6rjwDMDdn6WGfJls+ZrrJF9pIGWw9t2rSJWrVqUadOHapUqcL//vc/nj59mq7cgQMHaNSo0XuRrY91lmz5nOkqW+iGNNh65o8//uDTTz/Fzs6OwYMH4+fnx5EjR2jbti2nTp16L7P1sc6SLZ8zXWULHVKEXunTp4/SoUMHJTExUb3s3r17Svv27RVPT0/l119/VS/fsWOH4urqmuez9bHOki2fM11lC92RHraeuXnzJm3btiVfvn8f1Obg4MD69evx8fFhzJgxbNmy5b3K1sc6S7Z8znSVLXRHHq+pZ1QqFaampumWm5mZsWjRIj788EM+/vhjIiIiKFy48HuRrY91lmz5nOkqW+iONNh6xsHBgUuXLtG1a9d06/Lly8ecOXOwtLTkm2++oUKFCu9Ftj7WWbLlc6arbKE7MiSuZ2rXrs2BAweIi4vLcL2BgQEzZszA39+fK1euvBfZ+lhnyZbPma6yhe5ID1vPtG/fnqSkJO7cuYObm9sry02cOJFixYpx9erVPJ+tj3WWbPmc6Spb6I7cmlQIIYTIA2RIXKglJiZy+vRpoqKi9CZbH+ss2fI5E3mTNNhCLSIigj59+nDp0iW9ydbHOku2fM5E3iQNttCQk2dIcipbH+ss2fqTm9PZQnukwRYaDAwM9C5bH+ss2fqTm9PZQnukwRYa9LEXoI91lmz9yc3pbKE9MktcqKWkpPDkyRPs7OwwMTHRi2x9rLNky+dM5E3SYAshhBB5gNw4RU9du3aNvXv3cvnyZUJCQkhISMDU1BR7e3vc3Nxo3rx5tt3CMKey9bHOki2fM11li+wnPWw9k5SUxNSpU9m6dSsApUqVwt7eHlNTUxISEggJCeHBgwcAtGvXjhkzZmg8ASgvZutjnSVbPme6yhY6pKvneIrcYf78+UqFChWUBQsWKKGhoRmWCQsLU5ebP39+ns/WxzpLtnzOdJUtdEcabD3TsGFD5fPPP89U2RkzZigNGjTI89n6WGfJls+ZrrKF7shlXXrm+fPnODs7Z6qsi4sLoaGheT5bH+ss2fI501W20B1psPWMo6Mjhw8fzlTZQ4cO4ejomOez9bHOki2fM11lCx3K6S6+0K0dO3YoLi4uSv/+/ZVDhw4pISEhGutDQkKUgwcPKv3791dcXV2VHTt25PlsfayzZMvnTFfZQndklrge2rZtG9988w0vXrxQL8uXLx9JSUlA6l2RbGxsmDBhAh07dnwvsvWxzpItnzNdZQvdkAZbT6lUKgIDA7ly5QohISHEx8djZmaGnZ0dbm5u+Pj4ZNtdkXIqWx/rLNnyOdNVtsh+0mALIYQQeYBMOhM5KiIiguDgYCIiInJ6V4QOqVQqLl68SGRkZE7vihB5hvSw9dDvv//Otm3bMDc3p3fv3ri6unL37l1mzZrFmTNnSEpKwt3dneHDh1OjRg2tZqtUKjZs2MCePXu4du0aCQkJ6nWmpqa4urrSokULunXrhqmpqVazM+O3337jwIEDzJw5U2vbVBSFI0eOcOvWLWxsbPD19cXW1jZduevXr/Prr78ycuRIrWXHxcVx8OBBoqKiqFGjBk5OTgAcPXqUgIAAoqOj8fDwoHfv3lhbW2st903u379Ps2bNmD9/Pk2aNNFJ5smTJzl58iTh4eHY2tpSt25dqlatqrXtBwcHEx0dTdmyZdXLbt68yZIlSzh79iwRERHY2tpSu3Zthg0bRpEiRbSWPWDAAOrWrUurVq2ws7PT2nZF7iINtp45efIk/fv3x8jISN0grl69miFDhpCSkoK3tzfJycn8+eefxMbGsmLFCry9vbWSHRYWRt++fbl58ybly5fHy8sr3e0TL1y4oF6/cuVKChUqpJXszFq8eDHz58/n6tWrWtleQkIC/fv35+zZs+pHHJqbmzNhwgR69uypUTYgIICJEydqLTs0NJRu3brx8OFDFEUhX758zJ07l8jISKZMmYKtrS0qlYro6GhKlSrF5s2bKViwoFayly1b9tr14eHh/PTTT7Rp04by5ctjYGDAwIEDtZLds2dPRowYQa1atYDUL4mjR4/m6NGjKIqCgYGB+r9+fn7MmjVLK7lDhgzBwsKCuXPnAnDq1CkGDRpESkoKVatWpVChQgQHB3Pu3Dmsra1Zv3691i6vcnV1xcDAAENDQ2rUqIGfnx9NmzbFwsJCK9sXuYTuJqSL3MDf319p3ry5EhoaqiQnJysTJ05U6tatq7Rt21aJiopSlwsODlbq16+v+Pv7ay37ww8/VLy9vZXAwMDXlvvzzz8Vb29v5cMPP9RadmYtWrRIcXV11dr2Fi9erFSoUEFZunSpEhQUpAQGBqovrfn000+VlJQUddkdO3ZoNfvzzz9Xqlatqvz666/KhQsXlE6dOim+vr5K69atNX4Hu3fvVtzc3JSvvvpKa9kuLi6Kq6ur4uLi8sqfl9drs94uLi5KQECA+vU333yjuLi4KNOmTVMePHigJCcnK0FBQcqHH36ouLq6KmvXrtVKbq1atZQVK1aoX7dp00Zp3ry58vTpU41yt2/fVurWrauMGDFCK7mKklrnqVOnKv/73/8ULy8vxdXVValUqZIyfvx45ejRo0pycrLWskTOkbu/65nr168zcOBA9ZDsgAED2L59O2PHjiV//vzqcvb29nTr1u2NPaWsOHLkCP37939jj93Hx4d+/fqxYsUKreR6eXllumxycrJWMtPs3r2b9u3bM2jQIABKly6Nt7c3S5cuZe7cuURERPDNN99gbGys1VyAY8eO0aVLFxo3bgzABx98QJ8+fRg5cqTG76Bly5YcOXKE3377jYkTJ2ol28nJiSdPnjBkyBBat26NgYGBxvpHjx7Rp08fpk2bRt26dbWS+Spbt26ladOmTJ06Vb2sdOnSfP311zx69IgtW7akG+14G1FRURQoUACA+Ph4rl+/zldffZVu6NvJyYlevXqxdOnSd858WdWqVfHz8yMmJoZ9+/axc+dO9uzZw+7du7G1taVVq1b4+fnh4eGh1VyhO9Jg65n4+HiNhjnt/9P+0LzMyspKPYyrDSqVKsOcjBQoUACVSqWV3KSkJEqWLEmVKlXeWPb69etaG5IGePjwIX369Em3fPDgwRQtWpTJkyczdOhQFi5cqLXMNE+ePFGfswYoU6YMAO7u7unKenl5sW/fPq1l79y5k9WrV/P9999z5MgRJk+ejKenp3p92hcjW1tbSpQoobXc/4qJiSEsLOyV58kbN27MvHnztJJVsmRJbty4AYCxsfFrv4QZGBiQkpKildz/srS0pGPHjnTs2JGQkBB27txJQEAAq1evZs2aNTg6OtKmTRuGDRuWLfki+0iDrWccHBwIDAykS5cuAAQGBgKpvbG0nliao0ePUqpUKa1le3h48PPPP+Pn5/fahjsqKooNGzZo/IF/F+XKlcPc3DxTE8kWL16s1Qa7QIECr5wJ3aZNG/Lnz8+YMWPo168frVq10lougIWFBbGxserXaY9TfNVkPiMjI61lGxkZ0a9fP/z8/JgzZw7dunXDz8+PcePGaXWy1auk9ejNzMwwMTHB3Nw8w3ImJibpev9vq23btixZsoS2bdtSsWJF/Pz8WLp0KbVq1cLe3l5dLigoiDVr1lC5cmWt5L6Ovb09AwYMYMCAAdy+fZvt27eza9cu5s+fLw12HiQNtp7p3LkzM2bMIDExEXt7e7Zs2ULFihWJiYlh6tSpNG7cmOTkZHbu3MmxY8cYN26c1rLThmSbN2+uHpqzs7PDxMQElUrFs2fPuHjxIrt27SI2NpYvv/xSK7nu7u7s2rWLpKQknT8D2NnZmT/++IMBAwZkuN7X15clS5YwfPhwrly5otVsBwcH7t27p35dsGBBDhw4kGGDGRQURNGiRbWaD1C4cGFmzpxJ9+7dmTFjBs2bN2fQoEHpvhxq26xZs1i0aBGQOkv/+vXrGWbev39faxMb+/fvT2BgIN26daNJkyY4Oztz+PBhGjduTNWqVbG1tSUkJIRz585hamrKhAkTtJKbWWXLlmX8+PGMHz+ev/76S6fZQjukwdYz3bt35+7du2zatAmVSoW7uztz5szBwsICf39/Nm7cqJ5FW6dOHfr27au1bA8PDzZv3sycOXNYu3YtSUlJGr0b5Z+ZzHXq1GH8+PGUL19eK7ktW7YkJSWFFy9evPGSF19fX602XL6+vsyYMYPbt29rXO7zspo1a7JixQoGDx5MYmKi1rLr1KnD5cuX1a8NDAxwcHBIV06lUrF3714aNmyotez/8vT0ZPPmzWzevJl58+axatUqrfVs/6t69eoarwsVKsSTJ0/SlUtOTubgwYNaO6drbGzM0qVLWbFiBWvWrGH37t3qdSdPngRSRznq16/PuHHjXvl50IVq1arlWLZ4e3JZl55KTEwkMTFR47KP5ORkTp8+TWhoKGXKlKFixYrZlh8TE8ONGzfS3T7R2dlZ4xx7XhcfH8+DBw8oXLgwNjY2ry37+PFjHj58qLXL6DIrOjqaK1euULp0aZ0MV0dHR7Ns2TJCQkLo1asXbm5u2Z6ZkZiYGC5fvkzx4sUpWbKkVretKAq3bt3i3r17xMTEYGZmhr29Pc7OzlhaWmo1C1In8dna2r5y6F+8H6TBFkIIIfIAGRLXc6GhoQQHBxMfH4+lpSUODg46+ZYeGxvLzZs3NXrY9vb2lC9fPltv9pBTuZKtX9n6WGeR/aTB1kPh4eEsW7aMXbt2ERISorHO0NCQypUr079/f3x9fbWeffv2bebOncvRo0dJSkrSuGzMwMCAfPnyUa9ePcaOHUu5cuXyfK5k61e2PtZZ6I4MieuZp0+f0qNHD54+fUrZsmUxMzPj1q1bJCUl0aFDB6Kiojh16hShoaH06NGDTz75RGvZly9fpnfv3piYmNC6dWs8PT0zvDXp7t27UalUrFmzRivnN3MqV7L1K1sf6yx0TMd3VhM5bOzYsYq3t7dy+fJl9bLQ0FClV69eyqBBgxRFUZSkpCT1LTq3bdumtew+ffoorVu3Vl68ePHacmFhYUqrVq2Uvn375ulcydavbH2ss9Atebymnjlx4gR9+vTRmAFua2vLBx98wO+//879+/cxMjJi2LBhNGrUiHXr1mkt++LFi3Tv3v2ND5iwsbGhe/fuXLhwIU/nSrZ+ZetjnYVuSYOtZ+Lj4zP8R21jY4OiKBrntOvWrcutW7e0lm1iYkJ0dHSmykZHR2NiYpKncyVbv7L1sc5Ct6TB1jPly5dn//796Zbv3bs33Y01EhIStPpQinr16rF8+XLOnj372nJnz55l+fLl1K9fP0/nSrZ+ZetjnYVuyaQzPbNv3z7GjBlD5cqVadmyJWZmZpw5c4adO3fSuHFjvvvuO3XZ8ePH8+jRIzZs2KCV7NDQUPr06cOdO3dwdXXFw8MDe3t79a1JQ0JC+Pvvv7l27RplypRhzZo1WrltZE7lSrZ+ZetjnYVuSYOthzZs2MC3336rfiiFoaEhLVu2ZPr06Rp3YVq6dCkuLi5a/TaekJDAzz//zN69e7l27RoJCQnqdSYmJlSoUIHmzZvTvXt3zMzM8nyuZOtXtj7WWeiONNh6KjExkZs3b5KYmEjp0qXfOFklOyiKQnh4OAkJCZiamlKwYMFsu790bsiVbP3K1sc6i+wlDbZ4pejoaCIjIylevHhO74oQQug9mXQmXmnNmjU0atRIq9s8duwYHTp0wMvLiwYNGjBr1ixiYmLSlQsICKBChQp5Pley9StbH+ssdEcabKEzly5dYujQoTx79owmTZrg4ODAihUraNeuHbdv337vciVbv7L1sc5Ct+Re4npm2bJlmS6r7YfcL1y4kFKlSrF582asrKwAOHPmDBMmTKBHjx4sXboULy8vrWbmZK5k61e2PtZZ6JjO760mcpSLi4vi6uqquLi4ZOrH1dVVa9l16tRRfvrpp3TLQ0NDlfbt2yuVKlVSjh8/riiKouzYsUNr2TmVK9n6la2PdRa6JUPiesbGxoZatWpx6NChN/7069dPq9nR0dEUKFAg3XJbW1vWrFmDu7s7Q4cOZe/eve9FrmTrV7Y+1lnoljTYesbDw4M7d+5QokSJN/6kDa1pS8mSJbl+/XqG6ywtLfnxxx+pWbMmEyZMYMeOHXk+V7L1K1sf6yx0SxpsPePu7s6TJ0949uzZG8taWVlRrFgxrWX7+Piwb98+kpKSMlxvamrKokWLaNy4MSdOnMjzuZKtX9n6WGehW9Jg65mBAwdy6NChTN0opWfPnhw+fFhr2W3btqVKlSpcunTplWXy5cvHvHnz6Nu3L9WqVcvTuZKtX9n6WGehW3LjFCGEECIPkB62EEIIkQdIgy2EEELkAdJgCyGEEHmANNhCCCFEHiANthBCCJEHSIMthBBC5AHSYAshhBB5wP8BFrg5w4xsMREAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp585/ensemble/CMIP6_ensemble_stats_ssp585_par_weighted.nc\n",
      "Total area of LME Barents Sea in km2 53    2.003064e+06\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for par_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp245/ensemble/CMIP6_ensemble_stats_ssp245_par_weighted.nc\n",
      "Total area of LME Northern Bering - Chukchi Seas in km2 65    1.483127e+07\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for par_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp585/ensemble/CMIP6_ensemble_stats_ssp585_par_weighted.nc\n",
      "Total area of LME Northern Bering - Chukchi Seas in km2 65    1.483127e+07\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for par_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp245/ensemble/CMIP6_ensemble_stats_ssp245_uv_weighted.nc\n",
      "Total area of LME Barents Sea in km2 53    2.003064e+06\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for uv_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp585/ensemble/CMIP6_ensemble_stats_ssp585_uv_weighted.nc\n",
      "Total area of LME Barents Sea in km2 53    2.003064e+06\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for uv_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp245/ensemble/CMIP6_ensemble_stats_ssp245_uv_weighted.nc\n",
      "Total area of LME Northern Bering - Chukchi Seas in km2 65    1.483127e+07\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for uv_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp585/ensemble/CMIP6_ensemble_stats_ssp585_uv_weighted.nc\n",
      "Total area of LME Northern Bering - Chukchi Seas in km2 65    1.483127e+07\n",
      "dtype: float64\n",
      "[create_land_ocean_mask] Running create_land_ocean_mask\n",
      "Heatmap for uv_mean\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CMIP6_IO] Opening file actea-shared/light/ncfiles_nobias/ssp245/ensemble/CMIP6_ensemble_stats_ssp245_uva_weighted.nc\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[5], line 36\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     31\u001b[0m     fname \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m     32\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlight/ncfiles_nobias/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mscenario\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/ensemble/CMIP6_ensemble_stats_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mscenario\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvar_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_weighted.nc\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     33\u001b[0m     )\n\u001b[0;32m---> 36\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43mio\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset_on_gs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     38\u001b[0m models_dict, ens_stats \u001b[38;5;241m=\u001b[39m get_area_averaged_ds(ds, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensemble\u001b[39m\u001b[38;5;124m\"\u001b[39m, scenario, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mensemble\u001b[39m\u001b[38;5;124m\"\u001b[39m, var_name, LME, models_dict, start_time, end_time)\n\u001b[1;32m     39\u001b[0m outfile \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFigures/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvar_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_ensemble_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mscenario\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mLME\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.png\u001b[39m\u001b[38;5;124m\"\u001b[39m\n",
      "File \u001b[0;32m~/cmip6-albedo/CMIP6_IO.py:117\u001b[0m, in \u001b[0;36mCMIP6_IO.open_dataset_on_gs\u001b[0;34m(self, file_name, decode_times)\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlogger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[CMIP6_IO] Opening file \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    116\u001b[0m fileObj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfs\u001b[38;5;241m.\u001b[39mopen(file_name)\n\u001b[0;32m--> 117\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfileObj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mh5netcdf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecode_times\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_times\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/api.py:588\u001b[0m, in \u001b[0;36mopen_dataset\u001b[0;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m    576\u001b[0m decoders \u001b[38;5;241m=\u001b[39m _resolve_decoders_kwargs(\n\u001b[1;32m    577\u001b[0m     decode_cf,\n\u001b[1;32m    578\u001b[0m     open_backend_dataset_parameters\u001b[38;5;241m=\u001b[39mbackend\u001b[38;5;241m.\u001b[39mopen_dataset_parameters,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    584\u001b[0m     decode_coords\u001b[38;5;241m=\u001b[39mdecode_coords,\n\u001b[1;32m    585\u001b[0m )\n\u001b[1;32m    587\u001b[0m overwrite_encoded_chunks \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moverwrite_encoded_chunks\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m--> 588\u001b[0m backend_ds \u001b[38;5;241m=\u001b[39m \u001b[43mbackend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    589\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    590\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdrop_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    591\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdecoders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    592\u001b[0m \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    593\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    594\u001b[0m ds \u001b[38;5;241m=\u001b[39m _dataset_from_backend_dataset(\n\u001b[1;32m    595\u001b[0m     backend_ds,\n\u001b[1;32m    596\u001b[0m     filename_or_obj,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    606\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m    607\u001b[0m )\n\u001b[1;32m    608\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/h5netcdf_.py:418\u001b[0m, in \u001b[0;36mH5netcdfBackendEntrypoint.open_dataset\u001b[0;34m(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, format, group, lock, invalid_netcdf, phony_dims, decode_vlen_strings, driver, driver_kwds)\u001b[0m\n\u001b[1;32m    404\u001b[0m store \u001b[38;5;241m=\u001b[39m H5NetCDFStore\u001b[38;5;241m.\u001b[39mopen(\n\u001b[1;32m    405\u001b[0m     filename_or_obj,\n\u001b[1;32m    406\u001b[0m     \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mformat\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    413\u001b[0m     driver_kwds\u001b[38;5;241m=\u001b[39mdriver_kwds,\n\u001b[1;32m    414\u001b[0m )\n\u001b[1;32m    416\u001b[0m store_entrypoint \u001b[38;5;241m=\u001b[39m StoreBackendEntrypoint()\n\u001b[0;32m--> 418\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43mstore_entrypoint\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    419\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    420\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmask_and_scale\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmask_and_scale\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    421\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdecode_times\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_times\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    422\u001b[0m \u001b[43m    \u001b[49m\u001b[43mconcat_characters\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mconcat_characters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    423\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdecode_coords\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_coords\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    424\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdrop_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    425\u001b[0m \u001b[43m    \u001b[49m\u001b[43muse_cftime\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_cftime\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    426\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdecode_timedelta\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_timedelta\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    427\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    428\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/store.py:43\u001b[0m, in \u001b[0;36mStoreBackendEntrypoint.open_dataset\u001b[0;34m(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta)\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopen_dataset\u001b[39m(  \u001b[38;5;66;03m# type: ignore[override]  # allow LSP violation, not supporting **kwargs\u001b[39;00m\n\u001b[1;32m     30\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m     31\u001b[0m     filename_or_obj: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m os\u001b[38;5;241m.\u001b[39mPathLike[Any] \u001b[38;5;241m|\u001b[39m BufferedIOBase \u001b[38;5;241m|\u001b[39m AbstractDataStore,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     39\u001b[0m     decode_timedelta\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m     40\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Dataset:\n\u001b[1;32m     41\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(filename_or_obj, AbstractDataStore)\n\u001b[0;32m---> 43\u001b[0m     \u001b[38;5;28mvars\u001b[39m, attrs \u001b[38;5;241m=\u001b[39m \u001b[43mfilename_or_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     44\u001b[0m     encoding \u001b[38;5;241m=\u001b[39m filename_or_obj\u001b[38;5;241m.\u001b[39mget_encoding()\n\u001b[1;32m     46\u001b[0m     \u001b[38;5;28mvars\u001b[39m, attrs, coord_names \u001b[38;5;241m=\u001b[39m conventions\u001b[38;5;241m.\u001b[39mdecode_cf_variables(\n\u001b[1;32m     47\u001b[0m         \u001b[38;5;28mvars\u001b[39m,\n\u001b[1;32m     48\u001b[0m         attrs,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     55\u001b[0m         decode_timedelta\u001b[38;5;241m=\u001b[39mdecode_timedelta,\n\u001b[1;32m     56\u001b[0m     )\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/common.py:221\u001b[0m, in \u001b[0;36mAbstractDataStore.load\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    199\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    200\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    201\u001b[0m \u001b[38;5;124;03m    This loads the variables and attributes simultaneously.\u001b[39;00m\n\u001b[1;32m    202\u001b[0m \u001b[38;5;124;03m    A centralized loading function makes it easier to create\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    218\u001b[0m \u001b[38;5;124;03m    are requested, so care should be taken to make sure its fast.\u001b[39;00m\n\u001b[1;32m    219\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m    220\u001b[0m     variables \u001b[38;5;241m=\u001b[39m FrozenDict(\n\u001b[0;32m--> 221\u001b[0m         (_decode_variable_name(k), v) \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_variables\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mitems()\n\u001b[1;32m    222\u001b[0m     )\n\u001b[1;32m    223\u001b[0m     attributes \u001b[38;5;241m=\u001b[39m FrozenDict(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_attrs())\n\u001b[1;32m    224\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m variables, attributes\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/h5netcdf_.py:237\u001b[0m, in \u001b[0;36mH5NetCDFStore.get_variables\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    236\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_variables\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 237\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mFrozenDict\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    238\u001b[0m \u001b[43m        \u001b[49m\u001b[43m(\u001b[49m\u001b[43mk\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[43mopen_store_variable\u001b[49m\u001b[43m(\u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvariables\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    239\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/core/utils.py:436\u001b[0m, in \u001b[0;36mFrozenDict\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    435\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mFrozenDict\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Frozen:\n\u001b[0;32m--> 436\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m Frozen(\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\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/opendrift/lib/python3.11/site-packages/xarray/backends/h5netcdf_.py:238\u001b[0m, in \u001b[0;36m<genexpr>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    236\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_variables\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    237\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m FrozenDict(\n\u001b[0;32m--> 238\u001b[0m         (k, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_store_variable\u001b[49m\u001b[43m(\u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m) \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mds\u001b[38;5;241m.\u001b[39mvariables\u001b[38;5;241m.\u001b[39mitems()\n\u001b[1;32m    239\u001b[0m     )\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/xarray/backends/h5netcdf_.py:200\u001b[0m, in \u001b[0;36mH5NetCDFStore.open_store_variable\u001b[0;34m(self, name, var)\u001b[0m\n\u001b[1;32m    197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopen_store_variable\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, var):\n\u001b[1;32m    198\u001b[0m     \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mh5py\u001b[39;00m\n\u001b[0;32m--> 200\u001b[0m     dimensions \u001b[38;5;241m=\u001b[39m \u001b[43mvar\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdimensions\u001b[49m\n\u001b[1;32m    201\u001b[0m     data \u001b[38;5;241m=\u001b[39m indexing\u001b[38;5;241m.\u001b[39mLazilyIndexedArray(H5NetCDFArrayWrapper(name, \u001b[38;5;28mself\u001b[39m))\n\u001b[1;32m    202\u001b[0m     attrs \u001b[38;5;241m=\u001b[39m _read_attributes(var)\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/h5netcdf/core.py:260\u001b[0m, in \u001b[0;36mBaseVariable.dimensions\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    258\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Return variable dimension names.\"\"\"\u001b[39;00m\n\u001b[1;32m    259\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dimensions \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 260\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dimensions \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_lookup_dimensions\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    261\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dimensions\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/h5netcdf/core.py:154\u001b[0m, in \u001b[0;36mBaseVariable._lookup_dimensions\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    150\u001b[0m \u001b[38;5;66;03m# normal variable carrying DIMENSION_LIST\u001b[39;00m\n\u001b[1;32m    151\u001b[0m \u001b[38;5;66;03m# extract hdf5 file references and get objects name\u001b[39;00m\n\u001b[1;32m    152\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDIMENSION_LIST\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m attrs:\n\u001b[1;32m    153\u001b[0m     \u001b[38;5;66;03m# check if malformed variable and raise\u001b[39;00m\n\u001b[0;32m--> 154\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[43m_unlabeled_dimension_mix\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_h5ds\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlabeled\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    155\u001b[0m         \u001b[38;5;66;03m# If a dimension has attached more than one scale for some reason, then\u001b[39;00m\n\u001b[1;32m    156\u001b[0m         \u001b[38;5;66;03m# take the last one. This is in line with netcdf-c and netcdf4-python.\u001b[39;00m\n\u001b[1;32m    157\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtuple\u001b[39m(\n\u001b[1;32m    158\u001b[0m             \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_root\u001b[38;5;241m.\u001b[39m_h5file[ref[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]]\u001b[38;5;241m.\u001b[39mname\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m    159\u001b[0m             \u001b[38;5;28;01mfor\u001b[39;00m ref \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_h5ds\u001b[38;5;241m.\u001b[39mattrs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDIMENSION_LIST\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n\u001b[1;32m    160\u001b[0m         )\n\u001b[1;32m    162\u001b[0m \u001b[38;5;66;03m# need to use the h5ds name here to distinguish from collision dimensions\u001b[39;00m\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/h5netcdf/core.py:453\u001b[0m, in \u001b[0;36m_unlabeled_dimension_mix\u001b[0;34m(h5py_dataset)\u001b[0m\n\u001b[1;32m    451\u001b[0m     status \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnodim\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    452\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 453\u001b[0m     dimset \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(\u001b[43m[\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mj\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mj\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdimlist\u001b[49m\u001b[43m]\u001b[49m)\n\u001b[1;32m    454\u001b[0m     \u001b[38;5;66;03m# either all dimensions have exactly one scale\u001b[39;00m\n\u001b[1;32m    455\u001b[0m     \u001b[38;5;66;03m# or all dimensions have no scale\u001b[39;00m\n\u001b[1;32m    456\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dimset \u001b[38;5;241m^\u001b[39m {\u001b[38;5;241m0\u001b[39m} \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mset\u001b[39m():\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/h5netcdf/core.py:453\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    451\u001b[0m     status \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnodim\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    452\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 453\u001b[0m     dimset \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m([\u001b[38;5;28mlen\u001b[39m(j) \u001b[38;5;28;01mfor\u001b[39;00m j \u001b[38;5;129;01min\u001b[39;00m dimlist])\n\u001b[1;32m    454\u001b[0m     \u001b[38;5;66;03m# either all dimensions have exactly one scale\u001b[39;00m\n\u001b[1;32m    455\u001b[0m     \u001b[38;5;66;03m# or all dimensions have no scale\u001b[39;00m\n\u001b[1;32m    456\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m dimset \u001b[38;5;241m^\u001b[39m {\u001b[38;5;241m0\u001b[39m} \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mset\u001b[39m():\n",
      "File \u001b[0;32mh5py/_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mh5py/_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/h5py/_hl/dims.py:60\u001b[0m, in \u001b[0;36mDimensionProxy.__len__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[38;5;129m@with_phil\u001b[39m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__len__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m---> 60\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mh5ds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_num_scales\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_id\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[43m_dimension\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32mh5py/_objects.pyx:54\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mh5py/_objects.pyx:55\u001b[0m, in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mh5py/h5ds.pyx:72\u001b[0m, in \u001b[0;36mh5py.h5ds.get_num_scales\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mh5py/h5fd.pyx:163\u001b[0m, in \u001b[0;36mh5py.h5fd.H5FD_fileobj_read\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/fsspec/spec.py:1866\u001b[0m, in \u001b[0;36mAbstractBufferedFile.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m   1861\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"mirrors builtin file's readinto method\u001b[39;00m\n\u001b[1;32m   1862\u001b[0m \n\u001b[1;32m   1863\u001b[0m \u001b[38;5;124;03mhttps://docs.python.org/3/library/io.html#io.RawIOBase.readinto\u001b[39;00m\n\u001b[1;32m   1864\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1865\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmemoryview\u001b[39m(b)\u001b[38;5;241m.\u001b[39mcast(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mB\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1866\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mout\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnbytes\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1867\u001b[0m out[: \u001b[38;5;28mlen\u001b[39m(data)] \u001b[38;5;241m=\u001b[39m data\n\u001b[1;32m   1868\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(data)\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/fsspec/spec.py:1856\u001b[0m, in \u001b[0;36mAbstractBufferedFile.read\u001b[0;34m(self, length)\u001b[0m\n\u001b[1;32m   1853\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m length \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m   1854\u001b[0m     \u001b[38;5;66;03m# don't even bother calling fetch\u001b[39;00m\n\u001b[1;32m   1855\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m-> 1856\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcache\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fetch\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\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[43mloc\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mlength\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1857\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloc \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(out)\n\u001b[1;32m   1858\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m out\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/fsspec/caching.py:189\u001b[0m, in \u001b[0;36mReadAheadCache._fetch\u001b[0;34m(self, start, end)\u001b[0m\n\u001b[1;32m    187\u001b[0m     part \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    188\u001b[0m end \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmin\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize, end \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mblocksize)\n\u001b[0;32m--> 189\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcache \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfetcher\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# new block replaces old\u001b[39;00m\n\u001b[1;32m    190\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstart \u001b[38;5;241m=\u001b[39m start\n\u001b[1;32m    191\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mend \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstart \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcache)\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/gcsfs/core.py:1924\u001b[0m, in \u001b[0;36mGCSFile._fetch_range\u001b[0;34m(self, start, end)\u001b[0m\n\u001b[1;32m   1918\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Get data from GCS\u001b[39;00m\n\u001b[1;32m   1919\u001b[0m \n\u001b[1;32m   1920\u001b[0m \u001b[38;5;124;03mstart, end : None or integers\u001b[39;00m\n\u001b[1;32m   1921\u001b[0m \u001b[38;5;124;03m    if not both None, fetch only given range\u001b[39;00m\n\u001b[1;32m   1922\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1923\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1924\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[43mgcsfs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcat_file\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1925\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m   1926\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnot satisfiable\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(e):\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/site-packages/fsspec/asyn.py:118\u001b[0m, in \u001b[0;36msync_wrapper.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m    116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    117\u001b[0m     \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m obj \u001b[38;5;129;01mor\u001b[39;00m args[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 118\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\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/opendrift/lib/python3.11/site-packages/fsspec/asyn.py:91\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m     88\u001b[0m asyncio\u001b[38;5;241m.\u001b[39mrun_coroutine_threadsafe(_runner(event, coro, result, timeout), loop)\n\u001b[1;32m     89\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m     90\u001b[0m     \u001b[38;5;66;03m# this loops allows thread to get interrupted\u001b[39;00m\n\u001b[0;32m---> 91\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mevent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m:\n\u001b[1;32m     92\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m     93\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \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/opendrift/lib/python3.11/threading.py:629\u001b[0m, in \u001b[0;36mEvent.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    627\u001b[0m signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_flag\n\u001b[1;32m    628\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m signaled:\n\u001b[0;32m--> 629\u001b[0m     signaled \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cond\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    630\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m signaled\n",
      "File \u001b[0;32m~/.conda/envs/opendrift/lib/python3.11/threading.py:331\u001b[0m, in \u001b[0;36mCondition.wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    329\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    330\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 331\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m \u001b[43mwaiter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    332\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    333\u001b[0m         gotit \u001b[38;5;241m=\u001b[39m waiter\u001b[38;5;241m.\u001b[39macquire(\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "scenarios = [\"ssp245\", \"ssp585\"] #, \"ssp585\"]\n",
    "period = \"1979-01-01-2099-12-16\"\n",
    "start_time = \"1979-01-01\"\n",
    "end_time = \"2099-12-16\"\n",
    "\n",
    "\n",
    "# This script is created only to plot the seasonal mismatch in the\n",
    "# future of chlorophyll.\n",
    "# [\"tas\",\"par\",\"uv\",\"uva\",\"uvb\",\"uvi\",\"chl\"]\n",
    "ds_var_names = [\"par\",\"uv\",\"uva\",\"uvb_srf\",\"uvb\",\"uvi\",\"clt\",\"siconc\",\"clt\",\"siconc\",\"sisnthick\",\"sithick\",\"chl\",\"tos\",\"tas\"]\n",
    "#ds_var_names = [\"clt\",\"siconc\",\"sisnthick\",\"sithick\",\"chl\",\"tos\",\"tas\"] #,\"uva\",\"clt\",\"siconc\",\"sisnthick\",\"sithick\"]\n",
    "\n",
    "\n",
    "seasonal=False\n",
    "cumulative=False\n",
    "LMES = ['Barents Sea', 'Northern Bering - Chukchi Seas']\n",
    "#LMES = ['Northern Bering - Chukchi Seas']\n",
    "\n",
    "for var_name in ds_var_names:\n",
    "    for LME in LMES:\n",
    "        models_dict = {}\n",
    "        # We loop over all scenarios, ensemble_ids, and models to create a\n",
    "        # list of dataframes that we eventually concatenate together and plot\n",
    "        for scenario in scenarios:\n",
    "            ds_list = []\n",
    "            if var_name in [\"tos\", \"chl\", \"tas\", \"clt\",\"siconc\",\"sisnthick\",\"sithick\"]:\n",
    "                fname = (\n",
    "                f\"light/{scenario}/ensemble/CMIP6_ensemble_stats_{scenario}_{var_name}_weighted.nc\"\n",
    "            )\n",
    "            else:\n",
    "                fname = (\n",
    "                    f\"light/ncfiles_nobias/{scenario}/ensemble/CMIP6_ensemble_stats_{scenario}_{var_name}_weighted.nc\"\n",
    "                )\n",
    "                \n",
    "          \n",
    "            ds = io.open_dataset_on_gs(fname)\n",
    "            \n",
    "            models_dict, ens_stats = get_area_averaged_ds(ds, \"ensemble\", scenario, \"ensemble\", var_name, LME, models_dict, start_time, end_time)\n",
    "            outfile = f\"Figures/{var_name}_ensemble_{scenario}_{LME}.png\"\n",
    "            \n",
    "            var_name_ens=f\"{var_name}_mean\"\n",
    "        \n",
    "            if ens_stats is not None:\n",
    "            \n",
    "             #   sns.lineplot(x=ens_stats.time.resample(time=\"A\").mean(),\n",
    "             #                       y=var_name_ens,\n",
    "             #                       data=ens_stats.mean({\"lat\",\"lon\"}).resample(time=\"A\").mean(),\n",
    "             #                       label=f\"{var_name}\")\n",
    "\n",
    "               # plt.legend()\n",
    "             #   plt.show()\n",
    "                plt.clf()\n",
    "                # Create heatmaps\n",
    "                df=ens_stats.to_dataframe().reset_index()\n",
    "                start_times = [datetime(1980, 1, 1)]\n",
    "                end_times = [datetime(2000, 1, 1)]\n",
    "\n",
    "                step = 10\n",
    "                # TODO: Add longer historical period by joining two lists.\n",
    "                start_times.extend([datetime(2000+ i, 1, 1) for i in range(0,80, step)])\n",
    "                end_times.extend([datetime(2000 + step + i, 1, 1) for i in range(0, 80, step)])\n",
    "\n",
    "                labels = []\n",
    "                dfs = []\n",
    "\n",
    "                max_df_dict = {}\n",
    "                if seasonal:\n",
    "                    frequency = \"season\"\n",
    "                else:\n",
    "                    frequency = \"month\"\n",
    "\n",
    "               \n",
    "                for start, end in zip(start_times, end_times):\n",
    "                    label=f\"{start.year}-{end.year}\"\n",
    "                    labels.append(label)\n",
    "\n",
    "                    df = CMIP6_ridgeplot.return_df_climatology(\n",
    "                        var_name_ens,\n",
    "                        None,\n",
    "                        start_time=start,\n",
    "                        end_time=end,\n",
    "                        depth_threshold=None,\n",
    "                        ds=ens_stats,\n",
    "                        cumulative=cumulative,\n",
    "                        seasonal=seasonal,\n",
    "                    ).reset_index(level=frequency)\n",
    "\n",
    "                    df.set_index('month', inplace=True)\n",
    "                    dfs.append(df)\n",
    "                    max_df_dict[label] = df[var_name_ens].groupby('month').mean()\n",
    "\n",
    "                fig = plt.figure()\n",
    "                print(f\"Heatmap for {var_name_ens}\")\n",
    "                CMIP6_ridgeplot.heatmap_of_change(max_df_dict, var_name_ens, labels, 12, LME, scenario)\n",
    "                plt.show()\n",
    "               \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "actea",
   "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": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}