{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(data_container)=\n", "# Using Data Containers\n", "\n", ":::{post} Dec 16, 2021\n", ":tags: posterior predictive, shared data \n", ":category: beginner\n", ":author: Juan Martin Loyola, Kavya Jaiswal, Oriol Abril, Jesse Grabowski\n", ":::" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running on PyMC v5.16.2\n" ] } ], "source": [ "import warnings\n", "\n", "import arviz as az\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import pymc as pm\n", "\n", "from numpy.random import default_rng\n", "\n", "plt.rcParams[\"figure.constrained_layout.use\"] = True\n", "\n", "print(f\"Running on PyMC v{pm.__version__}\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'\n", "RANDOM_SEED = sum(map(ord, \"Data Containers in PyMC\"))\n", "rng = default_rng(RANDOM_SEED)\n", "az.style.use(\"arviz-darkgrid\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction\n", "\n", "After building the statistical model of your dreams, you're going to need to feed it some data. Data is typically introduced to a PyMC model in one of two ways. Some data is used as an exogenous input, called `X` in linear regression models, where `mu = X @ beta`. Other data are \"observed\" examples of the endogenous outputs of your model, called `y` in regression models, and is used as input to the likelihood function implied by your model. These data, either exogenous or endogenous, can be included in your model as wide variety of datatypes, including numpy `ndarrays`, pandas `Series` and `DataFrame`, and even pytensor `TensorVariables`. \n", "\n", "Although you can pass these \"raw\" datatypes to your PyMC model, the best way to introduce data into your model is to use {class}`pymc.Data` containers. These containers make it extremely easy to work with data in a PyMC model. They offer a range of benefits, including:\n", "\n", "1. Visualization of data as a component of your probabilistic graph\n", "2. Access to labeled dimensions for readability and accessibility\n", "3. Support for swapping out data for out-of-sample prediction, interpolation/extrapolation, forecasting, etc.\n", "4. All data will be stored in your {class}`arviz.InferenceData`, which is useful for plotting and reproducible workflows.\n", "\n", "This notebook will illustrate each of these benefits in turn, and show you the best way to integrate data into your PyMC modeling workflow. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ":::{important}\n", "In past versions of PyMC, there were two types of data containers {func}`pymc.MutableData` and {func}`pymc.ConstantData`. These have been deprecated as all data containers are mutable now.\n", ":::" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using Data Containers for readability and reproducibility\n", "\n", "The example shows some of the differences between using a data container and \"raw\" data. This first model shows how raw data, in this case a numpy arrays, can be directly provided to a PyMC model." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [beta, sigma]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "25735d8c0df5458886b02c72c7e405db", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Output()" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
     ]
    }
   ],
   "source": [
    "true_beta = 3\n",
    "true_std = 5\n",
    "n_obs = 100\n",
    "x = rng.normal(size=n_obs)\n",
    "y = rng.normal(loc=true_beta * x, scale=true_std, size=n_obs)\n",
    "\n",
    "with pm.Model() as no_data_model:\n",
    "    beta = pm.Normal(\"beta\")\n",
    "    mu = pm.Deterministic(\"mu\", beta * x)\n",
    "    sigma = pm.Exponential(\"sigma\", 1)\n",
    "    obs = pm.Normal(\"obs\", mu=mu, sigma=sigma, observed=y)\n",
    "    idata = pm.sample(random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the resulting computational graph, the `obs` node is shaded gray to indicate that it has observed data, in this case `y`. But the data itself is not shown on the graph, so there's no hint about what data has been observed. In addition, the `x` data doesn't appear in the graph anywhere, so it's not obvious that this model used exogenous data as an input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "cluster100\n",
       "\n",
       "100\n",
       "\n",
       "\n",
       "\n",
       "sigma\n",
       "\n",
       "sigma\n",
       "~\n",
       "Exponential\n",
       "\n",
       "\n",
       "\n",
       "obs\n",
       "\n",
       "obs\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "sigma->obs\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "beta\n",
       "\n",
       "beta\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "mu\n",
       "\n",
       "mu\n",
       "~\n",
       "Deterministic\n",
       "\n",
       "\n",
       "\n",
       "beta->mu\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "mu->obs\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       ""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(no_data_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Furthermore, inside `idata`, PyMC has automatically saved the observed (endogenous) `y` data, but not the exogenous `x` data. If we wanted to save this inference data for reuse, or to make it available as part of a reproducible research package, we would have to be sure to include the `x` data separately. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "
<xarray.Dataset> Size: 2kB\n",
       "Dimensions:    (obs_dim_0: 100)\n",
       "Coordinates:\n",
       "  * obs_dim_0  (obs_dim_0) int64 800B 0 1 2 3 4 5 6 7 ... 93 94 95 96 97 98 99\n",
       "Data variables:\n",
       "    obs        (obs_dim_0) float64 800B -0.3966 -3.337 -7.844 ... -6.549 -0.8598\n",
       "Attributes:\n",
       "    created_at:                 2024-07-28T11:34:21.141826+00:00\n",
       "    arviz_version:              0.19.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  5.16.2
"
      ],
      "text/plain": [
       " Size: 2kB\n",
       "Dimensions:    (obs_dim_0: 100)\n",
       "Coordinates:\n",
       "  * obs_dim_0  (obs_dim_0) int64 800B 0 1 2 3 4 5 6 7 ... 93 94 95 96 97 98 99\n",
       "Data variables:\n",
       "    obs        (obs_dim_0) float64 800B -0.3966 -3.337 -7.844 ... -6.549 -0.8598\n",
       "Attributes:\n",
       "    created_at:                 2024-07-28T11:34:21.141826+00:00\n",
       "    arviz_version:              0.19.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  5.16.2"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata.observed_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this next model, we create a {class}`pymc.Data` container to hold the observations, and pass this container to the `observed`. We also make a {class}`pymc.Data` container to hold the `x` data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [beta, sigma]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "19ade4f2acc34af0a51590912696b2c1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as no_data_model:\n",
    "    x_data = pm.Data(\"x_data\", x)\n",
    "    y_data = pm.Data(\"y_data\", y)\n",
    "    beta = pm.Normal(\"beta\")\n",
    "    mu = pm.Deterministic(\"mu\", beta * x_data)\n",
    "    sigma = pm.Exponential(\"sigma\", 1)\n",
    "    obs = pm.Normal(\"obs\", mu=mu, sigma=sigma, observed=y_data)\n",
    "    idata = pm.sample(random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because we used a {class}`pymc.Data` container, the data now appears in our probabilistic graph. It is downstream from `obs` (since the `obs` variable \"causes\" the data), shaded in gray (because it is observed), and has a special rounded square shape to emphasize that it is data. We also see that `x_data` has been added to the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "cluster100\n",
       "\n",
       "100\n",
       "\n",
       "\n",
       "\n",
       "mu\n",
       "\n",
       "mu\n",
       "~\n",
       "Deterministic\n",
       "\n",
       "\n",
       "\n",
       "obs\n",
       "\n",
       "obs\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "mu->obs\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "x_data\n",
       "\n",
       "x_data\n",
       "~\n",
       "Data\n",
       "\n",
       "\n",
       "\n",
       "x_data->mu\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "y_data\n",
       "\n",
       "y_data\n",
       "~\n",
       "Data\n",
       "\n",
       "\n",
       "\n",
       "obs->y_data\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "sigma\n",
       "\n",
       "sigma\n",
       "~\n",
       "Exponential\n",
       "\n",
       "\n",
       "\n",
       "sigma->obs\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "beta\n",
       "\n",
       "beta\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "beta->mu\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       ""
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(no_data_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can check the inference data to see that the `x` data has been stored there as well. It is now a complete summary of all information needed to reproduce our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "
<xarray.Dataset> Size: 3kB\n",
       "Dimensions:       (x_data_dim_0: 100, y_data_dim_0: 100)\n",
       "Coordinates:\n",
       "  * x_data_dim_0  (x_data_dim_0) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
       "  * y_data_dim_0  (y_data_dim_0) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
       "Data variables:\n",
       "    x_data        (x_data_dim_0) float64 800B -1.383 -0.2725 ... -1.745 -0.5087\n",
       "    y_data        (y_data_dim_0) float64 800B -0.3966 -3.337 ... -6.549 -0.8598\n",
       "Attributes:\n",
       "    created_at:                 2024-07-28T11:34:24.969470+00:00\n",
       "    arviz_version:              0.19.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  5.16.2
"
      ],
      "text/plain": [
       " Size: 3kB\n",
       "Dimensions:       (x_data_dim_0: 100, y_data_dim_0: 100)\n",
       "Coordinates:\n",
       "  * x_data_dim_0  (x_data_dim_0) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
       "  * y_data_dim_0  (y_data_dim_0) int64 800B 0 1 2 3 4 5 6 ... 94 95 96 97 98 99\n",
       "Data variables:\n",
       "    x_data        (x_data_dim_0) float64 800B -1.383 -0.2725 ... -1.745 -0.5087\n",
       "    y_data        (y_data_dim_0) float64 800B -0.3966 -3.337 ... -6.549 -0.8598\n",
       "Attributes:\n",
       "    created_at:                 2024-07-28T11:34:24.969470+00:00\n",
       "    arviz_version:              0.19.0\n",
       "    inference_library:          pymc\n",
       "    inference_library_version:  5.16.2"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata.constant_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Named dimensions with data containers\n",
    "\n",
    "Named dimensions are another powerful benefit of working with data containers. Data containers allow users to keep track of dimensions (like dates or cities) and coordinates (such as the actual date times or city names) of multi-dimensional data. Both allow you to specify the dimension names and coordinates of random variables, instead of specifying the shapes of those random variables as numbers. Notice that in the previous probabilistic graphs, all of the nodes `x_data`, `mu`, `obs` and `y_data` were in a box with the number 100. A natural question for a reader to ask is, \"100 what?\". Dimensions and coordinates help organize models, variables, and data by answering exactly this question.\n",
    "\n",
    "In the next example, we generate an artifical dataset of temperatures in 3 cities over 2 months. We will then use named dimensions and coordinates to improve the readability of the model code and the quality of the visualizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "
\n",
       "\n",
       "\n",
       "  \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "  \n",
       "  \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "    \n",
       "      \n",
       "      \n",
       "      \n",
       "      \n",
       "    \n",
       "  \n",
       "
BerlinSan MarinoParis
date
2020-05-0115.40153618.81780116.836690
2020-05-0213.57524117.44115314.407089
2020-05-0314.80893419.89036915.616649
2020-05-0416.07148718.40753915.396678
2020-05-0515.50526317.62114316.723544
\n",
       "
"
      ],
      "text/plain": [
       "               Berlin  San Marino      Paris\n",
       "date                                        \n",
       "2020-05-01  15.401536   18.817801  16.836690\n",
       "2020-05-02  13.575241   17.441153  14.407089\n",
       "2020-05-03  14.808934   19.890369  15.616649\n",
       "2020-05-04  16.071487   18.407539  15.396678\n",
       "2020-05-05  15.505263   17.621143  16.723544"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_data = pd.DataFrame(columns=[\"date\"]).set_index(\"date\")\n",
    "dates = pd.date_range(start=\"2020-05-01\", end=\"2020-07-01\")\n",
    "\n",
    "for city, mu in {\"Berlin\": 15, \"San Marino\": 18, \"Paris\": 16}.items():\n",
    "    df_data[city] = rng.normal(loc=mu, size=len(dates))\n",
    "\n",
    "df_data.index = dates\n",
    "df_data.index.name = \"date\"\n",
    "df_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As noted above, {class}`pymc.Data` gives you the ability to give named labels to the dimensions of your data. This is done by passing a dictionary of `dimension: coordinate` key-value pairs to the `coords` argument of {class}`pymc.Model` when you create your model.\n",
    "\n",
    "For more explanation about dimensions, coordinates and their big benefits, we encourage you to take a look at the {ref}`ArviZ documentation `.\n",
    "\n",
    "This is a lot of explanation -- let's see how it's done! We will use a hierarchical model: it assumes a mean temperature for the European continent and models each city relative to the continent mean:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The data has two dimensions: date and city\n",
    "# The \"coordinates\" are the unique values that these dimensions can take\n",
    "coords = {\"date\": df_data.index, \"city\": df_data.columns}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [europe_mean_temp, city_offset, sigma]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9f3b91da43124a5fa31d5eaaa105f2c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 6 seconds.\n"
     ]
    }
   ],
   "source": [
    "with pm.Model(coords=coords) as model:\n",
    "    data = pm.Data(\"observed_temp\", df_data, dims=(\"date\", \"city\"))\n",
    "\n",
    "    europe_mean = pm.Normal(\"europe_mean_temp\", mu=15.0, sigma=3.0)\n",
    "    city_offset = pm.Normal(\"city_offset\", mu=0.0, sigma=3.0, dims=\"city\")\n",
    "    city_temperature = pm.Deterministic(\n",
    "        \"expected_city_temp\", europe_mean + city_offset, dims=\"city\"\n",
    "    )\n",
    "\n",
    "    sigma = pm.Exponential(\"sigma\", 1)\n",
    "    pm.Normal(\"temperature\", mu=city_temperature, sigma=sigma, observed=data, dims=(\"date\", \"city\"))\n",
    "\n",
    "    idata = pm.sample(\n",
    "        random_seed=RANDOM_SEED,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again, we can look at the probabilistic graph implied by our model. As before, similar node (or groups of nodes) are grouped inside plates. The plates are labeled with the dimensions of each node. Before, we had the label 100 and asked, \"100 what?\". Now we see that in our model, there are 3 cities and 62 dates. Each of the 3 cities has it's own offset, which, together with a group average, determines the estimated temperature. Finally, we see that our data is actually a 2d matrix. Adding labeled dimensions has greatly improved the presentation of our probabilistic model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "clusterdate (62) x city (3)\n",
       "\n",
       "date (62) x city (3)\n",
       "\n",
       "\n",
       "clustercity (3)\n",
       "\n",
       "city (3)\n",
       "\n",
       "\n",
       "\n",
       "observed_temp\n",
       "\n",
       "observed_temp\n",
       "~\n",
       "Data\n",
       "\n",
       "\n",
       "\n",
       "temperature\n",
       "\n",
       "temperature\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "temperature->observed_temp\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "europe_mean_temp\n",
       "\n",
       "europe_mean_temp\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "expected_city_temp\n",
       "\n",
       "expected_city_temp\n",
       "~\n",
       "Deterministic\n",
       "\n",
       "\n",
       "\n",
       "europe_mean_temp->expected_city_temp\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "sigma\n",
       "\n",
       "sigma\n",
       "~\n",
       "Exponential\n",
       "\n",
       "\n",
       "\n",
       "sigma->temperature\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "city_offset\n",
       "\n",
       "city_offset\n",
       "~\n",
       "Normal\n",
       "\n",
       "\n",
       "\n",
       "city_offset->expected_city_temp\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "expected_city_temp->temperature\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       ""
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we see that the model did remember the coords we gave it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date: (Timestamp('2020-05-01 00:00:00'), Timestamp('2020-05-02 00:00:00'), Timestamp('2020-05-03 00:00:00'), Timestamp('2020-05-04 00:00:00'), Timestamp('2020-05-05 00:00:00'), Timestamp('2020-05-06 00:00:00'), Timestamp('2020-05-07 00:00:00'), Timestamp('2020-05-08 00:00:00'), Timestamp('2020-05-09 00:00:00'), Timestamp('2020-05-10 00:00:00'), Timestamp('2020-05-11 00:00:00'), Timestamp('2020-05-12 00:00:00'), Timestamp('2020-05-13 00:00:00'), Timestamp('2020-05-14 00:00:00'), Timestamp('2020-05-15 00:00:00'), Timestamp('2020-05-16 00:00:00'), Timestamp('2020-05-17 00:00:00'), Timestamp('2020-05-18 00:00:00'), Timestamp('2020-05-19 00:00:00'), Timestamp('2020-05-20 00:00:00'))\n",
      "city: ('Berlin', 'San Marino', 'Paris')\n"
     ]
    }
   ],
   "source": [
    "for k, v in model.coords.items():\n",
    "    print(f\"{k}: {v[:20]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Coordinates are automatically stored into the {class}`arviz.InferenceData` object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Coordinates:\n",
       "  * chain    (chain) int64 32B 0 1 2 3\n",
       "  * draw     (draw) int64 8kB 0 1 2 3 4 5 6 7 ... 993 994 995 996 997 998 999\n",
       "  * city     (city) "
      ]
     },
     "metadata": {
      "image/png": {
       "height": 411,
       "width": 1211
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = az.plot_trace(idata, var_names=[\"europe_mean_temp\", \"expected_city_temp\"], legend=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we use {class}`pymc.Data`, the data are internally represented as a pytensor {class}`pytensor.tensor.sharedvar.TensorSharedVariable`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pytensor.tensor.sharedvar.TensorSharedVariable"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The values of all `pytensor` tensors can be checked using the {meth}`pytensor.graph.Variable.eval` method. To access the data, we can use the {class}`pymc.Model` object. All model variables, including data containers, can be accessed by indexing the model object itself with a variable name. Since this line:\n",
    "\n",
    "```python\n",
    "    data = pm.Data(\"observed_temp\", df_data, dims=(\"date\", \"city\"))\n",
    "```\n",
    "\n",
    "Gave the name \"observed_temp\" to the data, we can access it as follows: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[15.40153619, 18.81780064, 16.83668986],\n",
       "       [13.57524128, 17.4411525 , 14.40708945],\n",
       "       [14.80893441, 19.89036942, 15.61664911],\n",
       "       [16.07148689, 18.40753876, 15.39667778],\n",
       "       [15.50526329, 17.62114292, 16.72354378],\n",
       "       [14.86774578, 16.91297071, 16.64398094],\n",
       "       [15.39861564, 18.06957647, 16.8952898 ],\n",
       "       [14.82344668, 17.8925678 , 18.13033425],\n",
       "       [14.29595165, 18.18139386, 14.87228836],\n",
       "       [13.7296701 , 18.6225866 , 15.67262894],\n",
       "       [14.68800267, 17.48605691, 15.26520975],\n",
       "       [14.62891834, 19.16219466, 16.71921201],\n",
       "       [14.58253668, 17.09701213, 17.10149473],\n",
       "       [14.39255946, 17.66357467, 15.68899804],\n",
       "       [15.8653625 , 16.66259542, 16.69857121]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model[\"observed_temp\"].eval()[:15]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using Data Containers to mutate data\n",
    "\n",
    "In many cases, you will want the ability to switch out data between model runs. This arises when you want to fit a model to multiple datasets, if you are interested in out-of-sample prediction, and in many other applications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using Data container variables to fit the same model to several datasets\n",
    "\n",
    "We can use `Data` container variables in PyMC to fit the same model to several datasets without the need to recreate the model each time (which can be time consuming if the number of datasets is large). **Note, however, that the model will still be recompilied each time.** \n",
    "\n",
    "In the next example, we will generate 10 models with a single parameter, `mu`. Each model will have a dataset with a different number of observations, from 10 to 100. We will use this setup to explore the effect of data quantity on parameter recovery. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We generate 10 datasets\n",
    "n_models = 10\n",
    "obs_multiplier = 10\n",
    "\n",
    "true_mu = [rng.random() for _ in range(n_models)]\n",
    "observed_data = [mu + rng.normal(size=(i + 1) * obs_multiplier) for i, mu in enumerate(true_mu)]\n",
    "\n",
    "with pm.Model() as model:\n",
    "    data = pm.Data(\"data\", observed_data[0])\n",
    "    mu = pm.Normal(\"mu\", 0, 10)\n",
    "    pm.Normal(\"y\", mu=mu, sigma=1, observed=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we have shown before we can use the `eval` method to check our `Data` container values:  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.10562792,  0.62102496,  1.48658991,  0.92295128,  0.43538261,\n",
       "        0.73235925, -0.11983016,  0.89501808, -0.39242869,  1.4783441 ])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model[\"data\"].eval()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While `eval` can be used to check the values, {func}`pymc.set_data` is used to change them. Let's use the `Data` together with `pymc.set_data` to repeatedly fit the same model to multiple datasets. Note that it doesn't matter that each dataset has a different size!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true,
    "tags": [
     "hide-output"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0e544dbb41184ee49fcffa467d612d98",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f116b0f0e23846b082ad2a72d66ed351",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "46c96a08d25e4d26b82d48631a0095b1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d9b1532d72554fb690eee3b0885cbc67",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e8f92740c8b4496c867449b345a70e7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a8f79f2baee14befa9a21887537e5159",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "67cb44c99a244222826381d88e083ddb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3febc3f8962c47028829259fcaadfd52",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cb449337d3a44bf1aa124353f86b88c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mu]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dd7209852f5d40c585c0a173a8a814ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
     ]
    }
   ],
   "source": [
    "# Generate one trace for each dataset\n",
    "idatas = []\n",
    "for data_vals in observed_data:\n",
    "    with model:\n",
    "        # Switch out the observed dataset\n",
    "        pm.set_data({\"data\": data_vals})\n",
    "        idatas.append(pm.sample(random_seed=RANDOM_SEED))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Arviz's {func}`arviz.plot_forest` allows you to pass a list of `idata`  objects with the same variables names. In this way, we can quickly visualize the different estimates from the 10 different datasets. We also use `matplotlib` to scatter the true parameter values on top of the `plot_forest`. We can see that as we go from 10 observations in model 1 to 100 observations in model 10, the estimates become increasing centered on the true value of mu, and the uncertainty around the estimate goes down."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABMcAAATHCAYAAADpkxBXAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd3hUZf7+8XtSIT0UQycBCwRFwAREwdBcVL6LCOqqiGBXREDFLriC4AKu2LGgUmRtiMoqqyARFBFCCUZ6j4QQlpKQRkgyM78/8svZTOpMMsmEnPfruvbaec485zmfJCPl5ikWu91uFwAAAAAAAGBCXp4uAAAAAAAAAPAUwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJiWj6cLAAAAaCiOHTum33//XSdPnlRGRob8/f3VokULdenSRe3bt/d0eR6VlZWlLVu26M8//1R2drb8/PwUERGhiy++WJGRkW55xtGjR5WQkKD//ve/8vPzU+vWrXX55ZcrKCioRuP+5z//0b59+yRJLVq00E033eSOcgEAQD1BOAYAAFADhYWF+uqrr7Rw4ULt2bOnwn7nn3++Ro0apZtuukne3t61Vs+7776rV155pcz1l156ScOHD6+151Zk165deuutt/TTTz+poKCg3D4XXHCB7rrrLt1www2yWCwuP+Pw4cN68cUXtXr16jLv+fn56fbbb9fDDz+sgIAAl8dOTk7WE088ofz8fEnSnDlzXB6jJjZs2KA77rjD4dqqVavUpk2bao85YMAAHTlyxGiPGzdODz/8cKX3jBo1SgkJCZX28fLykp+fn/z9/RUeHq5mzZqpffv2Ov/889W9e3ddfPHF8vX1rXbdkvTGG2/ozTffNNqtW7dWfHx8jcYEAIBwDAAAoJr279+vhx9+WPv376+y7759+/T888/r888/1+uvv16jcKMif/75p95++223j1td7777rl5//XUVFhZW2m/v3r16+umn9dVXX+m1115TkyZNnH7Gjh07dOeddyojI6Pc9/Pz8/Xhhx9q8+bN+uCDDxQcHOzKl6Dp06cbwdjll1+u6667zqX7zcRmsykvL095eXk6ffq0Dh06pE2bNhnvBwUFaeDAgbrpppsUGxvrwUoBAHDEnmMAAADVsHnzZt1yyy3lBmNeXl4KDQ0td4bY9u3bdeuttyo5OdntNT3//PPKy8tz+7jVMXPmTL3yyivlBmOBgYHy8ir7x9CEhATdfvvtSk9Pd+oZ2dnZevDBBx2CsSFDhujFF1/UM888o0suucS4/vvvv+uZZ55x6WtYtWqV1qxZI0ny8fHR5MmTXbofjrKzs/XNN9/o9ttv1y233KLt27d7uiQAACQxcwwAAMBlx44d0/jx45WZmelw/S9/+YtGjRqlHj16yMfHRzabTdu3b9fnn3+uJUuWyGazSZL++9//auzYsfriiy+qtdSvPN98843WrVvnlrFqatmyZfrwww8drrVu3VoPPvigBg8erJCQEOXn5yspKUnvv/++w3LI/fv3a9KkSZo3b16VSyzfeustpaWlGe0ZM2ZoxIgRRvv222/XE088oW+//VaStGLFCq1Zs0ZxcXFVfg1nz57VjBkzjPYdd9yh888/v8r7zKJbt24aNmxYmet5eXnKzMxUVlaWDh8+rK1bt5Y7qy8xMVE33XSTJk6cqPvuu6/2CwYAoBKEYwAAAC6aMmWKTpw4YbQtFoumTp2qm2++2aGfl5eXLrnkEl1yySUaNGiQHn74YZ09e1ZS0TLLDz/8UOPGjatxPRkZGfrHP/5htK+++mqtXLmyxuNWR25urkMtkhQdHa0PPvjAYbmkn5+fYmJiFBMTozlz5uidd94x3lu7dq1++OEHXXPNNRU+5+zZs/ryyy+Ndv/+/R2CMUny9vbWCy+8oLVr1xoBzeLFi50Kx9577z2lpKRIkpo3b66HHnqoynvMJCoqSrfeeqtTfQ8ePKglS5boiy++0OnTp43rVqtV//znP/Xf//5Xzz33XG2VCgBAlVhWCQAA4ILt27eX2fj97rvvLhOMlRYXF6dnn33W4dqHH36oU6dO1bimmTNnGuMEBASUeU5dWrhwoU6ePGm0GzdurNdff73SfcQeeeQR9enTx+Ha66+/bsy0K09iYqJD0FLR9z8oKEh//etfjfZvv/1m7CFWkcOHD+v999832k8++WSNT7w0s6ioKD3++ONavXq1/va3v5V5f9GiRZo/f37dFwYAwP9HOAYAAOCCzz77zKEdFhZW5Ul/xf72t7/pwgsvNNo5OTlauHBhjepZv369li5darTHjRunli1b1mjM6iosLNRHH33kcO3OO+9U27Ztq7x3ypQpDsso9+/fX+kphNu2bXNox8TEVNi3Z8+exuv8/PxKTxWVipZnFs/wi42NdQjXUH0BAQGaOnWqXnzxxTJLZl9++WWnDrYAAKA2EI4BAAC4YMOGDQ7tIUOGqFGjRk7fX3rp3w8//FDtWvLz8/X8888b7QsvvFCjR4+u9ng1tXHjRof9pby8vKqcUVesffv26tWrl8O1ypaGHj9+3HgdEhKikJCQCvuWDudK3lvamjVrjFDO29ubTfhrwU033aS7777b4VpBQYFmz57toYoAAGZHOAYAAOCk06dP69ChQw7XKpuxVJ4ePXo4tA8cOFDtGTNz58416rFYLHrhhRfk4+O5LWVXrVrl0O7WrZtLs9iGDBni0F69erWsVmu5fXNycozXVR1qEBgY6NDOysoqt19+fr6mT59utEeOHKmLLrqo0rFRPY888ojDLEqp6Odd+r8vAADqAuEYAACAk0puwl+sXbt2Lo0RGRlZ5lp1Tpncv3+/w75YI0aMKBO81bXSs+pcrad79+4O7YyMDO3cubPcvv7+/sbrgoKCSsctXiJZrKKZfh988IGSk5MlSc2aNdP48eOrrBnV4+PjozvuuMPhmt1u19dff+2ZggAApkY4BgAA4KSSG8AXCw4OdmmM8jZ237t3r0tj2O12TZ482QiFwsLCNGnSJJfGcDer1aqDBw86XLv00ktdGuP8888v8/2paFZdWFiY8fr06dOVBmSll1GWvLdYamqq3n33XaP9+OOPu/yzhWuGDh1aZjnszz//7KFqAABmRjgGAADgJD8/vzLXqjr50Jn+Bw4ccGmMzz//XJs3bzbajz/+uMLDw10aw90OHz5cJqByZiP+kiwWi1q3bu1wraLvTckleYWFhZVusr9jx44K7y320ksv6cyZM5KKZrxdf/31TteN6vH39y8ToO7atUt5eXkeqggAYFaEYwAAAE4KDQ0tc+3UqVMujVFe/9Izripz4sQJvfzyy0b7sssuK7PJvyeUt1dUdU7NLH1PRd+b7t27y8vrf3+Urexgg+XLlxuvzz///DIzx3799VetWLFCUtEm/M8//3yZ0xRRO7p16+bQtlqtVZ4mCgCAuxGOAQAAOOm8886Tr6+vw7Xt27e7NEbpWUxS+cs1KzJ9+nRlZmZKKtq36e9//3u9CHJKnlIpSb6+vuUuX6xK8+bNHdrFX2tp5513nvr06WO0Fy9erMOHD5fpt2zZMoefUekgsaCgQNOmTTPat9xyizp16uRy3aie8g48SE1N9UAlAAAz89xxRgAAAOcYf39/XXzxxUpMTDSuxcfH66677nJ6jNInOkpFAU1+fn65yzZLWrNmjcMsqNGjR5e7RNATcnNzHdoVbXpfldL3lR63pPHjx+vXX3+V1WpVdna2Ro8ercmTJ6tXr17Ky8vTsmXL9Morrxj9W7durZtvvtlhjI8++siYndakSRNNmDChWnXXpYEDB3q6BLcpveeYVP7BFwAA1CbCMQAAABf06dPHIRzbuHGjkpKS1LVr1yrvPXr0qP7zn/+U+15OTk6l4Vhubq5eeOEFo92yZUuNGzfOhcprV/F+XcVKnibpitL3lR63pEsuuUQTJkwwArAjR47ogQceKLdvo0aNNGvWLIcN/48dO6a5c+ca7ccee6zcpbOoPeWFY5UFogAA1AaWVQIAALjglltuKRNiPfXUU1UujczPz9dTTz1VYdhz9uzZSu9/4403dOTIEaP93HPPKSAgwMmqa1/pTdRLLz91VunvbVWbs99///169tln1bhx4wr7tGnTRh988IFiYmIcrv/jH/8wgphu3bqVu3fbqVOn9Prrr2v48OHq1auXLrnkEvXr108TJkzQTz/95OyXhQqU9xmu7ORRAABqAzPHAAAAXNCsWTONGjVKH3zwgXFt//79uuOOOzRz5sxy96s6cuSInn32Wa1fv77CcSsLunbs2KEFCxYY7f79+2vQoEHV/ApqR+kZX9UNOEqf5unMDLQ77rhDgwcP1jfffKONGzfq+PHj8vX1VevWrXXVVVfpuuuuK7Ncc/369cYSVS8vL02ePLnM3m0rVqzQM888o6ysLIfrR48e1dGjR/X999+rX79+euWVVxQYGFidL7daJk6cWK393Iq9+uqrZfaI85ScnJwy16paXgwAgLsRjgEAALho4sSJSkhI0B9//GFc27Vrl4YPH67Y2FhddtllCg8PV2Zmpv744w/9+uuvRuhjsVjUt29f/fzzz8a9FovFYblfSTabTZMnT5bVapUkNW7cWM8991wtfnXVUzrcq2omXEVK3+fs7LiIiAjdd999uu+++6rsW1hY6LAJ/80336yLL77Yoc+qVas0ceJE4/suFe1ZFhYWpgMHDhgzAFevXq17771XCxculI9P3fzR+q9//avatGlT7fvff//9ehOOlQ4eJVU6CxAAgNpAOAYAAOAiPz8/vffeexo7dqzD/mNWq1Xr16+vdIbYE088IUkO4VhQUJC8vMrf7WLRokXatm2b0R47dmyNgpHaUjrEqmo5ZEVK31cbS0cXLVqkffv2SZLCwsL0yCOPOLyfnp6uZ5991gjGmjZtqldeeUWXX365JCk7O1svvviivvrqK0nS5s2bNW/evAr3O0PFyluOXPrEUgAAaht7jgEAAFRDkyZNtGDBAt1///1OzXRp3ry53nvvPd11111llpK1bNmy3HuOHj2qV1991Wiff/75uvPOO2tUd20pvZF9QUFBtWYnHT9+3KFd3obtNfHf//5Xb7zxhtF+9NFHyyxR/Pzzz5Wenm60X331VSMYk4rCzBkzZuiyyy4zrn300UfVDgTNbNeuXWWutWrVygOVAADMjHAMAACgmvz9/fXoo4/qxx9/1OTJk9W/f3+1a9dOQUFBatSokdq1a6d+/fpp5syZWrFiheLi4iRJqampDuOUXtJXbN68eQ4n9z3//PPV3ui+tkVGRpa5dvToUZfHKX1PVFRUdUsq16xZs4xw8uKLL9ZNN91Ups+3335rvI6NjVXPnj3L9PHy8tLYsWONdkZGhn755Re31moGv//+u0Pbx8dHF154oYeqAQCYFcsqAQAAaqhZs2a6/fbbdfvttzvVf/fu3Q7tisKx0jPMRo0aVb0CJT399NN6+umnK62jJtq2bStfX1+HjfgPHz6szp07Oz2G3W53OJFTcm84tmnTJv373/+WVLTP2/PPP19mOWt2drax5FKSrrrqqgrH6927txo1amTMGEtMTNTVV1/ttnobury8vDLhWOfOnZ06hAEAAHdi5hgAAEAdOnPmjEP4Islhed65ysfHp8zssdLBR1X279+v7Oxsh2sdO3asaWmSivaDmzp1qtG+8cYb1bVr1zL9jh49KpvNZrQrC+e8vb3Vrl07o116RiAqt2zZsjIb8vfr188zxQAATI1wDAAAoA7Fx8c7nMjYqVMnderUyYMVuU/JfbkkacuWLS7dX7p/WFiYSzPPKrN48WJjplxoaKgeffTRcvtlZmY6tCs6RbS890vfi4oVFhZq4cKFDte8vLx0/fXXe6giAICZsawSAACgDn3xxRcO7ZtvvrnCvsOGDdOll15aref8/e9/LzNWt27dqjWWswYOHKhFixYZ7a1bt+ro0aMVHjhQ2vLlyx3acXFx8vGp+R9XT5486bAJ/4QJE9SkSZNy+/r5+Tm08/PzKx275Pul70XF/vnPf2rv3r0O1wYOHKi2bdt6qCIAgJkRjgEAANSRlStX6rfffjPa4eHhGjp0aIX9L7/88jKzsZxVOhzr1auXhg8fXq2xnBUbG6uwsDDjlEqbzabPP/9cEyZMqPLe5ORkrV+/3uHaoEGD3FLXyy+/bMzqio6O1q233lph39InVx47dqzSsUu+Hx4eXv0iTWTJkiX66KOPHK75+flp0qRJHqoIAGB2LKsEAACoA/v37y8TWD311FMKDg72TEFVGDVqlC666CLjfwMGDKjyHh8fH40ePdrh2kcffaTDhw9Xee/UqVNlt9uNdlRUlAYOHOh64aUkJibqq6++klS0Cf+UKVPKbMJfUps2bRQSEuJwf0VSUlJ0/Phxo91QlsfWljNnzuj555/Xs88+6/Czlor+WyjvxFMAAOoC4RgAAICLjh8/7jADrCq//fabRo8erRMnThjXrrzySg0bNqwWqvOs0aNHOyxZPHPmjCZMmKBTp05VeM+cOXO0du1ah2vjx4+Xt7d3jWqx2WwOodsNN9yg7t27V3qPxWJRr169jPbKlSt1+vTpcvuWXiJb3Vl+Dd3Bgwf1z3/+U3Fxcfr000/LvH/XXXdp5MiRHqgMAIAiLKsEAABw0YkTJzRmzBhFRkZq4MCBuuKKK9S5c2c1bdpUkmS323Xq1Cn99ttv+vbbb/XTTz853N+uXTu9/PLLnii91gUGBurJJ5/Uk08+aVzbvn27brzxRo0dO1Z/+ctfFBISovz8fP3xxx96//33y3x/rrjiCl177bU1ruXTTz/Vjh07JEnBwcFOL9u75ZZbtHLlSklSVlaWJk+erFdeecVh/7PNmzc7LA287LLLdNFFF9W45nPFwYMH9cknn5S5fvbsWWVmZiozM1MpKSnaunWr0tPTyx3Dx8dHkyZN0p133lnb5QIAUCnCMQAAgGo6dOiQPvjgA33wwQeSJF9fXwUGBio7O1uFhYXl3tOxY0d98MEHFW4I3xAMGzZMO3fu1Pz5841rR44c0bPPPqtnn31WQUFBys3Nlc1mK3NvVFSU/vnPf8pisdSohlOnTunVV1812uPHjzfCy6r06dNHgwYN0o8//ihJ+uGHH3TjjTfq+uuvV2hoqP744w998cUXKigokFT0c3/uuedqVO+5ZuvWrdq6dWu17+/Zs6eeffZZlqICAOoFwjEAAAA3KSgoMDajL81isWj48OF69tlnFRgYWLeFecDTTz+t0NBQvfnmm7JarQ7vZWdnl3tPTEyMXnvtNbcEh6+88oqxHPKiiy5yedne9OnTdezYMf3xxx+SpJ07d2rnzp1l+vn4+Gj69OmKjo6ucc0NXXBwsAYNGqSbb75ZPXr08HQ5AAAYCMcAAABc1KZNGz300EP6+eeftXPnzgpniUlSQECABg0apDvvvNN0AcrYsWPVv39/vfnmm1q9enWF36fzzz9fd955p4YPH17pZvnOSkpK0pdffmm0p0yZ4vL+ZWFhYVq4cKHeeOMNLV68WGfPni3TJzo6Ws8++6xiYmJqXHNDYLFY5Ofnp0aNGik8PFzNmjVT+/btdcEFF6h79+7q0qWLfH19PV0mAABlWOylj4oBAACA086cOaPdu3crOTlZp06dUm5urnx9fdW0aVN17NiRQOD/y8zMVGJiog4dOqScnBz5+vqqRYsW6tKlizp06ODWZ/3www/as2ePJCkiIkI333xzjcbLycnR+vXrlZKSory8PDVp0kSXXnqpLrzwQneUCwAAPIxwDAAAAAAAAKZV83nrAAAAAAAAwDmKcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtH08XAJzL0tPTPV1CnbBYLAoLC5MkZWRkyG63e7YgnNP4PMGd+DzBnfg8wZ34PMGd+DzBnRrC5yk8PNyt4zFzDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGn5eLoAAAAAAACAhuDyyy83Xt9999269957PVgNnEU4BgAAAAAwvdTUVA0fPrzWxm/RooW+/vrrWhv/XDZ16lQtX77caE+ePFlDhgyp0ZjZ2dkaMmSIzp49K0kKCQnRd999J19f3xqNi4aJZZUAAAAAAMBjSgdh//nPf2o85o8//mgEY5L0l7/8hWAMFWLmGAAAAADA9CwWi7y9vZ3qa7VaHdrO3Ofjw1+/K9KjRw+1aNFCaWlpkqQtW7bo2LFjioiIqPaYJWeiSdJ1111XoxrRsPFfJwAAAADA9Fq2bKlff/21yn6ll192795dc+fOrc3SGjyLxaLrrrtOH374oSTJZrPp+++/1+jRo6s1XkpKipKSkox2VFSUoqOj3VIrGiaWVQIAAAAAAI8qPbOrJksrS9/LrDFUhXAMAAAAAAB4VJs2bXTppZca7UOHDmnHjh0uj2O32x3CMS8vL11zzTVuqRENF+EYAAAAAADwuNIzvErvG+aMrVu3KjU11Wj37NlTzZs3r3FtaNjYcwwAAAAAAA/4888/tXfvXp04cUJnzpxRy5YtNXjwYE+XJavVqp07d+rw4cM6deqUbDabwsPD1b59e0VHRzt9cIGrBg0apFdeecU4ZfLHH3/UxIkTXTrMoHSgVvokzJKsVqsOHjyo5ORknThxQrm5uWrUqJFCQkLUsWNHXXDBBbX2tXqK3W7X3r17lZaWplOnTun06dMKDQ1VmzZt1LVrV9Oe6Ek4BgAAAAAmYbValZKSojZt2jS4v/TXR++//74++OADo71+/XpJ0s8//6wPP/xQu3btcugfFBTkEI49+OCDSkxMlFQ0A2rRokU1em5Vjh8/ro8++kg//vijMjMzy+0THBysYcOGadSoUQoJCXFqXGcFBgYqLi5OK1askCRlZGRo3bp1uuqqq5y6Py8vT/Hx8UY7KCiozL1ZWVlas2aNVq9ercTEROXk5FQ4XlBQkIYOHaqRI0eqadOm1fiKKjZ16lQjyGvRooW+/vprp+779ttv9eKLLxrtpUuXqlWrVlXel5WVpUWLFum7777TyZMny+3TqFEjXXPNNbrrrrt03nnnOVVPQ8GySgAAAAAwiXHjxql79+4aN26cp0sxrZdffllPPPFEmWDM07777jvdeOONWrp0aYXBmPS/kOW2226rla+h9EwvV5ZW/vzzzw5h18CBA+Xv7+/QZ968eXrxxRe1du3aSoMxScrOzta//vUvjRo1Sr///rvTddQ369ev14gRI7Rw4cIKgzGpKFz8+uuvdeuttzodqDYUzBwDAAAAABNISEjQZ599Jkn67LPPdOedd6pnz54erspcFi1apCVLlkiSAgICFBsba8ziO3r0qP744w+P1LVw4UK9/fbbDteKl9k1a9ZMXl5e+u9//6tNmzbpv//9ryTpxIkTevDBBzVv3jx17NjRbbXExsaqefPmOn78uCTp119/VWZmplOz1FxZUilJISEhuuCCC9SuXTsFBwfLz89POTk5Onz4sMOsslOnTumxxx7TwoULnZqlVZ98//33mjZtmqxWq3GtefPm6tmzp1q2bCmbzaYTJ05oy5YtSklJkSTl5OToscce05w5c0zzawThGAAAAACYwKxZs8q0i4Ma1I133nlHknTjjTfqwQcfVGBgoMP7BQUFdV7Tb7/9prlz5xrt9u3ba9KkSYqNjS3Tt7CwUF9//bXeeOMNnT17VmfOnNEzzzyjjz/+2G17VXl5eenaa6/VwoULJRV9T1auXKkRI0ZUet/Jkye1ceNGo922bVt17dq1TL8mTZro9ttv16BBg3ThhRfKy6v8BXX5+flasmSJ5s6dq4KCAmVnZ2vWrFl69dVXq//F1bG9e/fqpZdeMoKx5s2b65FHHlH//v3VpEkTSUVLV+12u+x2u+Lj4zVz5kxlZmbKarXq+eef1yeffKKwsDAPfhV1g2WVAAAAANDAJSQkOOzFJEnx8fFKSEjwUEXmZLVaddttt2nSpEllgjFJdb4Z+tmzZ/Xiiy/KbrdLki666CJ98MEH5QZjkuTj46Mbb7xRM2bMkMVikSQlJyfr+++/d2tdpWd8/ec//6nynu+//95hdtS1115bbr/Ro0dr3Lhx6tSpU4XBmCT5+fnptttu09///nfj2oYNG3To0KEqa6kvpk2bZhxu0KJFC33wwQcaMGBAuV+3xWLRwIED9frrrxtLUdPT0/X555/Xac2eQjgGAAAAAA1c6VljVV1H7WjZsqUeeOABT5dhWL58ubEHlbe3t6ZOnaqgoKAq77vyyis1YMAAo7106VK31tW+fXt16dLFaG/btk1//vlnpfeUDNAsFouuu+46t9QycOBAdejQQVLRSY+//vqrW8atbevXr9eePXuM9rPPPuvUJvudOnXSTTfdZLS/+uorIzxtyAjHAAAAAKABK2/WWDFmj9Wtv/71r/Lz8/N0GYaSe3T16tVL7du3d/req6++2ni9e/fuKje3d5Urs8f27Nmjffv2Ge3LLrtMLVq0cFstJfdU27Fjh9vGrU0lf7ZRUVEVzgYsT8mfbXp6ug4cOODW2uoj9hwDAAAAgAasqtlh7D1Wd3r06OHpEgx5eXnauXOn0e7WrZtL97dt29Z4bbPZtHfvXpfHqMzVV1+tV199Vfn5+ZKKlk3ed999xnLOkkpvxO/srLGkpCStWbNGe/bsUUpKinJycpSbm1tmppTNZjNeFx9IUN8lJiYar2vys5WKwkd3HrpQHxGOAQAAAEADVdmssWLFs8fMciqdJ7kyM6u27d+/X4WFhUb7nXfe0bvvvlvt8TIzM91RliE4OFh9+/bVqlWrJElHjx5VYmJimYCxsLBQK1asMNoBAQHq379/pWMnJSVp1qxZDrPNnOXur7M2nDp1yjjtU5K+/vprLVu2rNrjnQtfc02xrBIAAAAAGihn9xRj77G6ERwc7OkSDKdPn3Zo22w2Wa1Wl/5XUnZ2tttrdGZp5YYNG3Tq1Cmj3b9/fzVu3LjCMePj4/Xggw9WKxiTZMxkq89K/2ztdnu9+9nWN8wcAwAAAIAGyJlZY8WYPVY3fHzqz1/Bs7Ky3DpeyaWH7tKrVy81bdrUODQgPj5ejz32mBo1amT0cWVJ5dGjR/XCCy84hD+XXHKJBg4cqM6dO6tly5YKCgqSv7+/vL29jT5Tp041nnMubE5/Lvxs65v6818mAAAAAMBtXJ0Nxt5j5lIyYJKkJ554QsOHD/dQNeXz9vbWNddco8WLF0uScnJy9PPPP+svf/mLpKIQaO3atUb/li1bVrqv26JFi3T27Fmj/cgjj+hvf/tblXWcOXOmul+CR5T+2Y4aNUoPPfSQ0bZYLAoLC5MkZWRknBOBX21jWSUAAAAANDCuzBorxsmV9U/JzeddCTCcCXNCQ0Md2hkZGU6PX5dKzwQrOVNs1apVDmHXddddV+6G/cVKBmk9evRwKhiT5LBs010qq7Myzvxsi4OvYvX1Z1ufEI4BAAAAQANT3T3E2Husfim5d5Yrs5dOnDhRZZ/IyEiHgGb37t2uFVdHOnbsqE6dOhntjRs3Gsssv/vuO4e+1157bYXj5OXlOZw02bt3b6eeb7VatWfPHldKdkrJn21eXp7T9znzs23atKnD/nb19WdbnxCOAQAAAEADUp1ZY8WYPVa/lAw4UlNTnbrHbrfr999/r7JfWFiYLrjgAqO9adMm5eTkuF5kHSg5e8xqter7779XSkqK/vjjD+P6pZdeqjZt2lQ4Rul9uJw9HGHdunW1sqyy5PNPnz6t3Nxcp+5LTEysso+3t7fD8tJ9+/Y5/fkxK8IxAAAAAGhAajr7i9lj9UdUVJTx+tSpU9q/f3+V9/zyyy86duyYU+MX790lFe3n9a9//cv1IuvA4MGD5evra7T/85//lDm5svTJlqUFBAQ4tI8ePVrlc202mxYsWOBCpc4r+bO12+3aunVrlffs3btXSUlJTo1f8mdrs9k0b948l2s0E8IxAAAAAGggajJrrBizx+qPSy65xKFdVVCTnp6uf/7zn06PP2LECIWHhxvt+fPna/Xq1S7VmJ2drZ07d7p0j6tCQ0N1xRVXGO19+/bp888/N9r+/v4aOHBgpWMEBgYqIiLCaP/www9VLmd87733tG3btmpWXbmLL77Yof3ZZ59V2j8vL08vvvii0+MPGDBAHTp0MNrLly+v8hmlnT171qlZiA0B4RgAAAAANBDumvXF7LH6oXv37mrZsqXR/vzzz/XZZ5+Vuzl/UlKS7r33Xh07dsxhllVlGjdurKefftrYe8xqterpp5/Wa6+9Vukm9Ha7XUlJSXrllVd0/fXX6/vvv3fxK3Nd6ZlhJZdJxsXFKTAwsMox4uLijNdpaWl6+umndfr06TL9srOzNXPmTM2fP1+S4/5g7tKqVSt1797daG/YsEFvvvmmCgsLy/Q9cOCAxo4dq927dzv9s7VYLHruuefk7+9vXJszZ46mTp1a5RLLvXv3au7cuRo2bJhxUmhD5+PpAgAAAAAANZeamlrjWWPF4uPjlZqaqlatWrllPFSPxWLR/fffr7///e+SikKpV155RV999ZViY2MVHBys06dP648//jA2Xe/YsaN69uypTz75xKlnXHXVVRo3bpzefPNN2e122e12ffLJJ1qyZImio6N1wQUXKDQ0VIWFhcrKytKff/6pPXv2KDMzs7a+7HJdccUVCg8PV3p6epn3qlpSWez222/Xt99+a+zv9dtvv+mGG27QFVdcobZt26qgoECHDx9WQkKCsc9Y9+7d1aJFizLLON3h/vvv14MPPmiEnR9//LFWrVqlyy+/XE2aNDFm5W3btk02m03NmjXTiBEj9O677zo1fnR0tJ577jm98MILRui2fPlyff/994qOjtbFF1+sxo0by263Kzs7W0eOHNHu3btr5XTO+o5wDAAAAAAagKCgILVs2dKpvZSq0rJlSwUFBbmhKtTUNddco23btmnJkiXGtYMHD+rgwYNl+kZFRWn27NllTnGsysiRI9W2bVtNmzbNmJFVUFCg33//3alldc7OZqoJHx8fDR48WJ9++qnD9ebNmys2NtapMc477zy9+OKLevrpp3X27FlJUm5urn788cdy+19yySWaOXOmXn311RrVXpFu3brpoYce0ptvvmlcO3r0qL766qsyfZs3b67Zs2dr3759Lj3j6quvVkREhJ577jnjtE6bzaZt27Y5tWS0Ln629QHhGAAAAAA0ACEhIdq4caO2b99e7rI7Z1ksFnXp0qXMBubwnMcff1yXXnqpXn/9dR0/frzM+4GBgRoyZIjGjh2rRo0aVesZV111lb766it9/vnn+ve//11lyNqiRQv17NlTf/nLX3TZZZdV65muuu6668qEY9dee628vJzfMeqKK67Qe++9p1dffbXCkx9btWqlYcOG6dZbb631cOj2229XmzZt9OabbyolJaXM+/7+/howYIAmTJigsLAwl8MxSeratau++OILLVu2TEuXLi03WC2pSZMmiomJ0aBBgxz2emvILPaa/KoJmFx5U3obIovForCwMElSRkZGjf6wBfB5gjvxeYI78XmCO/F5gjsVf56sVqt+/fVX7du3T5mZmcZswR49elQ7FKtIamqqdu3apfT0dGVlZcnb29t4XmRkpFq0aOHW53lCSkqKkpKSdPLkSXl5ealp06Zq166doqOj67wWu92u3bt3a/fu3crIyFBAQIAiIiLUvXt3BQcHu/VZp06d0sGDB3XixAmlpaXJYrEoICBALVq0UGRkpNq0aePW59WGkgdJuAPhGFADhGOA6/g8wZ34PMGd+DzBnfg8wZ34PMGdGsLnyd3hGKdVAgAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwrEGLCUlRRdddJHxv6VLl3qsljfeeMOhFgAAAAAAgPrAx9MF1FRKSooGDhxY5nqvXr20cOFCl8c7duyY+vfvL6vV6nC9Z8+eWrRoUbXrRN3IycnRjh07lJSUpKSkJP3xxx86cuSI8X7r1q0VHx/vwQoBAAAAAEB9cs6HYxVJSEjQ0aNH1bJlS5fuW7ZsWZlgDPXfRx99pKVLl2rfvn2y2WyeLgcAAAAAAJwjGuyySrvdrm+++cbl+6pzDzxv48aN2rNnD8EYAAAAAABwSYMLxxo3bmy8djXo2rZtm/bu3StJ8vHxka+vr1trQ90KCAhQbGysAgICPF0KANSY1WpVcnIys5sBAAAAN2tw4Vj//v3l7e0tSTpw4ICSkpKcvvfrr782Xvfp00eNGjVyd3moJf7+/uratatGjhypf/zjH/r222+1efNmffzxxwoPD/d0eQBQY+PGjVP37t01btw4T5cCAAAANCgNbs+xZs2a6YorrtAvv/wiqWj2WNeuXau8r6CgQN9++63Rvv7667V58+ZaqxPuNWfOHE+XAAC1JiEhQZ999pkk6bPPPtOdd96pnj17ergqeILdbtfp01LuGSmgsRQaKlksFk+XBQAAcE5rcDPHJGnYsGHG6++++04FBQVV3rNmzRqlp6dLkkJCQso9ARMAAE+YNWtWpW00fJlZdn32hV233WHX/w2z6+Zbi/7/tjuKrmdm2T1dIgAAwDmrwc0ck6RBgwYpKChI2dnZSk9P15o1azRo0KBK7ym5pPKaa66Rv79/jes4evSoEhMTderUKeXk5Cg0NFQtWrRQTEyMgoKCajR2enq6NmzYoLS0NNlsNkVERKhTp07q2LFjjesuKTU1VUlJSTp58qSysrIUEhKiiIgIxcTEKDQ01K3PAgCUlZCQoPj4eIdr8fHxSkhIYPaYSazfYNffp9qVnVP2vcOHpTfesuuj+dILz0u9ejKLDAAAwFUNMhxr1KiRBg8erC+//FKStGzZskrDsYyMDK1evdpoX3/99TV6/vLly/XOO+9o9+7d5b7v6+urK6+8UhMnTlTnzp1dGvvYsWOaMWOGfvzxRxUWFpZ5v2vXrnr00UfVu3fvatUuSYWFhVq6dKkWLFigffv2ldvH29tbvXv31oQJE5xatgoAqJ6KZonNmjVLS5YskSQdOGjeWUMWixQSXPT7YWaWXXZ7w/peJP1h15zXpJLnMHSJllpESGnHpO07iq5l50hPPG3XIxPs6noJAVl11efPU4cofq4AANSWBhmOSUVLK4vDsZ9++kmnT5+ucKZTyaWXbdu2VUxMTLWemZOTowkTJhj7nVWkoKBAq1ev1s8//6yHH35YY8eOdWr8TZs26f7771d2dnaFfZKSknTXXXdp0qRJGjx4sEv1S9Lhw4c1duxY7dmzp9J+VqtVa9eu1a+//qqJEyfqgQcecPlZAIDKlTdrrFjJ2WN33Fl//gJf9+ySTnu6iDpxRW9p7AMWRbb/X0hyKNmut+fatW59UYD28itS0fcE1VN/P09rVxOOAQBQWxpsOBYbG6vWrVvryJEjys/P1/Lly3XrrbeW27fkksrqzhrLz8/XmDFjypyO2blzZ1122WUKDg7W8ePHtXbtWqWlpUmSbDabXnvtNeXm5mrSpEmVjr9z507dd999ysn535oKf39/9enTRx06dJDVatW+ffv022+/qaCgQLNnz3Z5aeju3bs1ZswYnTp1yrgWGBiomJgYdejQQQEBAcrMzFRSUpJ+//13SUUbA8+ZM0f5+fkaP368S8+D56VnOPcXKIul6PMqSacz69e/pOPcw+fJedNnVL632PQZszR//hd1VA086Yre0ksvWuTt7RiQRLa36KXp0tPPFgVkaLic/T0b9Qe/39Wt8DACZADV12DDMYvFoqFDh2ru3LmSik6tLC8c279/v0OgVXIzf1e8/PLLDuNERERo5syZZZY32mw2LVy4ULNnzzaWRc6bN0+xsbGKi4srd+zCwkI99dRTDsFYXFycZsyYoWbNmjn0TUlJ0eOPP64tW7Zo5syZTtefnZ2t8ePHG8GYv7+/xo0bp5EjRyowMLBM/x07dujJJ580ZpjNnTtXvXr1Uq9evZx+Jjzvr8Oc/UOaXVJ6bZYCU+Hz5IzcnI06tL/8WWPFfvk5XgOvTlBAYGwdVQVPeeiBssFYMW9vi8Y+KK1bz1+8GzLnf89G/cHvd3WJ2ZUAaqJBnlZZrGTQlZiYqOTk5DJ9vvnmG+N1jx491LZtW5ef8+eff2rRokVGOzQ0VAsWLCh33y8vLy+NGTNG06dPN67Z7XZNnz69wn9NWrp0qXbt2mW0L7/8cr311ltlgjFJatOmjebNm6fOnTsrPz/f6a/h9ddf16FDhyQV7Yn27rvv6r777is3GJOk6OhoLV68WJGRkZKKQr/XX3/d6ecBACp3/Nhst/bDuatLtNS+feV/6Ytsb1G0a9uYAgAA4P9r0OFYZGSkunXrZrRLBmFSUaBT8lp1Z419/PHHxpRpSXrkkUcUFRVV6T3Dhg3TgAEDjHZycrLDoQAlffrpp8ZrX19fTZs2Tb6+vhWOHRgYqGnTpjlZfdGBBF988b9lOffcc49TG/qHhITomWeeMdqbNm3S3r17nX4uAKB8uTkblZNd+ayxYjnZ8crN2VjLFcGTWkQ42a9F7dYBAADQUDXocExy3ENs2bJlDrOz1q9fb+z/5e/vr2uvvbZaz1i1apXxOjQ0VCNGjHDqvrvvvrvCcYqlpqZq+/btRjsuLk7t2rWrcuxLLrlEPXr0cKqOFStWKDc3V1LRzLaRI0c6dZ8k9e3b1+Gggw0bNjh9LwCgfK7OBmP2WMOWdszJfmm1WwcAAEBD1WD3HCs2ZMgQzZgxQwUFBTp8+LA2b95snEZZciP+/v37KyQkxOXxT5w4oZSUFKPdp08f+fn5OXVvTEyMmjRpYuzzlZiYWKbP1q1bHdr9+vVzurYBAwZoy5YtVfZLSEgwXkdGRqp58+ZOP8PLy0tt2rTR6dNFJzvt3LnT6Xvhef/+2rm9GSwWi0JDikLQ05mn2VAWNcLnqXJbtmzUTTc6N2usWPHsMfYea5i27yg6lTKykqWVh5Lt2sFvwQ2as79no/7g9zsAOHc0+HAsNDRU/fv314oVKyQVBWIxMTHKycnRypUrjX7VXVJ58OBBh3bnzq5t+BEdHa21a9caY9ntdlks//vDz4EDBxz6d+rUyemxna1lx44dDs+Ljo52+hmSZLVajdcZGRku3QvPcvZUH4vForCwoommXl4W8Wc71ASfp8rNfbvyEyorcvzYbLXv8Lmbq0F98fZcu16arnI35bda7Xp7Lv8hNXScxHfu4fc7ADh3NPhwTCpaWlkcjn3//feaPHmyw1LCpk2bqm/fvtUau3jGVDFXZl2V7m+1WpWTk6OgoKAKx2/atKnTY5e3YX950tMdT9EpGXa5Kisrq9r3AoDZJSQkKD7etVljxXKy4zXpkU3q2tVcs8csFotCgoMlSZlZWQ1qZkZOjl2PPS7lnpHWrZeeftausQ/KYQbZoeSiYGzd+qJ2QGPpn7OlwECClOpoyJ8nAABQMVOEY3FxcQoPD1d6erqysrK0atUqffXVV8b7Q4YMkY9P9b4VOTk5Du3GjRu7dH9AQECZ8UqGY8UBXnXGd7avOwMt/hAJANU3a1b1Zo0V+3jRLC1ZssRN1ZwbimZmFP0enpHR0GZmWDTtBbueeNouq7UoIFu33q7ozna1aFG0x1jJpZTe3tK0Fyy65GKCsepq2J8nAABQEVOEY76+vhoyZIg+/vhjSdK8efMclhJWd0mlVHQyZElnzpxx6f7S4Vfp8UqHZ2fOnFF4eLhTYztbS6NGjVRQUCBJuvTSS/X55yzLAYC6VpNZY8Xi4+OVkJCgnj17uqkqeFqvnhbNekl6/gW7sv//v8ft2Kky+4sFBUovPG9Rr54EYwAAAK5q8KdVFit5auX27duNGU4XXHCBunTpUu1xS57UKEnHjx936f6S/b29vcuEY6XHP3nypNNjnzhxwql+JcO20kssAQB1o6azxtw9DuqPXj0t+vxTi8Y/ZFHbto7vtW0rjX+o6H2CMQAAgOoxxcwxSeratas6duyo/fv3O1wvGZpVR1RUlEPb1dMaS/aPiopy2Ixfkjp06ODQ3rVrly655BKnxt61a5dT/Tp27Kg///xTkpSSkqLTp0+XCeUAALUnNTW1xrPGisXHxys1NVWtWrVyy3ioH0KCLbr5JummG6XMTCknVwoMkEJCVObPDgAAAHCNaWaOSWWDMC8vLw0dOrRGYzZr1kxtS/wz7tq1a5Wfn+/UvZs3b3aYCda9e/cyfbp16+bQXrNmjdO1OfsXrd69exuvbTab2/6CBgBwTlBQkFq2bOmWsVq2bOmwdyUaFovFotBQi1q1LPp/gjEAAICaM83MMUkaMWKE/P39jXZ4eLgiIiJqPO7AgQM1f/58SUWnS3755Ze69dZbq7zvo48+cmhfffXVZfq0atVK0dHRxh5pq1ev1uHDhx0CufJs27ZNW7Zscar+wYMHa/bs2ca+Y++++66uu+46h+8VAKD2hISEaOPGjQ7L/qvDYrGoS5cuZfarBAAAAFAxU4VjzZo105gxY9w+7siRI7Vw4ULZbDZJ0pw5c9S7d29FRkZWeM+yZcu0cuVKox0ZGamrrrqq3L633HKLpkyZIkkqKCjQlClT9P7771d4wmZubq6mTJni9F+wWrRooRtvvFGffPKJJOngwYN66qmnNGvWLPn6+jo1ht1u1/r16x1moQEAnBcQEKDY2FhPlwEAAACYjqmWVdaWdu3aadSoUUb79OnTGj16tNavX1+mr81m06JFi/TMM884XH/mmWcqXBoxfPhwXXTRRUZ73bp1GjduXLmb8x85ckT33nuvtm/fLj8/P6e/hkceeUTt27c32suXL9ftt9+uzZs3V3pfWlqaFixYoKFDh+rhhx92+nkAAAAAAAD1galmjtWmSZMmKTExUUlJSZKKQqPRo0erS5cu6tGjh4KDg3XixAn98ssvOnr0qMO999xzj+Li4ioc29fXVzNnztRtt92m3NxcSdJPP/2kAQMGqG/fvoqKipLVatW+ffu0bt06FRQUyGKx6Mknn9S0adOcqj80NFRz587VHXfcYZxyuXXrVt12221q3769unfvrubNm8vPz09ZWVk6duyYdu7cqcOHDxsz1IKDg13+vrnLkSNHyl2WKklWq9WhX3R0dLn95s+fr549e9ZKfQAAAAAAoH4iHHMTPz8/zZ8/X+PHj9fatWuN69u3b9f27dvLvcdisejhhx/WQw89VOX4nTt31vvvv6/7779f2dnZkqS8vDyHpZnFvLy89Oijj6pfv35Oh2NS0amVS5cu1cSJEx32K0tOTlZycnKV97syU83d7Ha7QwhWmYr61WSfHwAAAAAAcG5iWaUbBQYGat68eZozZ47DMsjSfHx8FBcXp6VLlzoVjBWLiYnRd999p8GDB1e431iXLl00b9483XvvvS7XL0kRERH617/+pbfffls9e/as8DnFAgIC1LdvX02bNk0//PBDtZ4JAAAAAADgKRY702VqTWpqqrZu3aoTJ04oNzdXoaGhatGihWJjYxUUFFSjsU+dOqUNGzYoLS1NNptNERER6tSpk84//3w3VV8kJydHiYmJSktLU0ZGhgoLCxUQEKDmzZsrKipKHTt2dHrT/oYoPT3d0yXUCYvForCwMElSRkYGs+xQI3ye4E58nuBOfJ7gTnye4E58nuBODeHzFB4e7tbxWFZZi1q1aqVWrVrVythNmjTRtddeWytjlxQYGKg+ffrU+nMAAAAAAAA8gWWVAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJiWj6cLQO1JSUnRwIEDjfZLL72k4cOHe6SWN954Q2+++abR3r17d609KyMjQ3v27FFycrIyMjJkt9sVGhqqVq1aqVu3bgoODq61ZwMAAAAAgHPLOR+OlQ6AivXq1UsLFy50ebxjx46pf//+slqtDtd79uypRYsWVbtO1B6bzaZNmzZp5cqVWr9+vfbs2VNhX4vFot69e2vMmDGKi4urwyoBAAAAAEB9dM6HYxVJSEjQ0aNH1bJlS5fuW7ZsWZlgDPXbNddco+TkZKf62u12rVu3TuvWrdOQIUM0depUBQUF1XKFAAAAAACgvmqw4Zjdbtc333yjBx54wKX7vvnmm1qqCLXl1KlTZa5FRkaqa9euatasmfz9/ZWWlqbffvtNaWlpRp/vvvtOx48f17x58+Tv71+XJQMAAAAAgHqiwYVjjRs31pkzZyTJ5XBs27Zt2rt3ryTJx8dHFotFBQUFtVIn3K9169a66aabdMMNN6hFixZl3rdarfr888/10ksv6ezZs5KKZhi++uqrevLJJ+u6XAAwPavVqpSUFLVp00be3t6eLgcAAAAm1eBOq+zfv7/xB+wDBw4oKSnJ6Xu//vpr43WfPn3UqFEjd5eHWtCqVSvNmDFDK1eu1IMPPlhuMCZJ3t7euvXWW/XGG2/Iy+t/H/1Fixbp2LFjdVUuAOD/GzdunLp3765x48Z5uhQAAACYWIMLx5o1a6YrrrjCaDu7TLKgoEDffvut0b7++uvdXhtqx9KlSzVixAinZx3ExcVpyJAhRrugoECrVq2qrfIAoHbY7dKZdFlOp0hn0ova55CEhAR99tlnkqTPPvtMCQkJHq4IAAAAZtXgwjFJGjZsmPH6u+++c2pp5Jo1a5Seni5JCgkJKfcETNRPPj6urw4uGY5J0h9//OGucgCgduWdlu/m+QqYf52C5l6hwA+uVtDcKxQw/zr5bp4v5Z32dIVOmTVrVqVtAAAAoK40uD3HJGnQoEEKCgpSdna20tPTtWbNGg0aNKjSe0ouqbzmmmvcskH70aNHlZiYqFOnTiknJ0ehoaFq0aKFYmJianxCYnp6ujZs2KC0tDTZbDZFRESoU6dO6tixY43rLik1NVVJSUk6efKksrKyFBISooiICMXExCg0NNStz6pL7dq1c2ifOHHCQ5UAgPO8D/6iRssfk+VsVpn3vNIPyX/NTPmtf1t5Q16RNbKPByp0TkJCguLj4x2uxcfHKyEhQT179vRQVQAAADCrBhmONWrUSIMHD9aXX34pSVq2bFml4VhGRoZWr15ttGu6pHL58uV65513tHv37nLf9/X11ZVXXqmJEyeqc+fOLo197NgxzZgxQz/++KMKCwvLvN+1a1c9+uij6t27d7Vql6TCwkItXbpUCxYs0L59+8rt4+3trd69e2vChAnq2rVrtZ/lKTk5OQ7t6sw+A1A+rxN7K+9gsch+NrjoZVaWLOfYckBP8TqyWf7xL8pitxrXrC0vlS2klbwyU+V99HdJkuVslhp99YDODpgsW+seniq3UrOn/73C619+8Jprg9XC58nW7IIajwEAAIBzR4NNBIYNG2aEYz/99JNOnz5d4Uynkksv27Ztq5iYmGo9MycnRxMmTNAvv/xSab+CggKtXr1aP//8sx5++GGNHTvWqfE3bdqk+++/X9nZ2RX2SUpK0l133aVJkyZp8ODBLtUvSYcPH9bYsWO1Z8+eSvtZrVatXbtWv/76qyZOnOjSqaD1QengsqJN/AG4LmDh0Cr7FEf7AbVbSoNV2KGfzvadJHvT/80WtpzcL/+fZ8vn4BpZ7FY1WvV3zxVYifUp+Vr1S3q57636Zb2SZlyjy9v4uTSmuz9P2Y/udNNIAAAAOBc02HAsNjZWrVu31pEjR5Sfn6/ly5fr1ltvLbdvySWV1Z01lp+frzFjxpQ5HbNz58667LLLFBwcrOPHj2vt2rVKS0uTJNlsNr322mvKzc3VpEmTKh1/586duu+++xxmPPn7+6tPnz7q0KGDrFar9u3bp99++00FBQWaPXu2y0tDd+/erTFjxujUqVPGtcDAQMXExKhDhw4KCAhQZmamkpKS9PvvRTMU7Ha75syZo/z8fI0fP96l53nSsmXLHNqXX365hyrxkNxTVfcpyWKR3ff///UzN/Oc2/gbaEgKO/RT3tA3JS/HQ0jsTTsq7/q31Oibh+RzcI2Hqqvaiz/nVPn+t7e5Fo65nau/RqLhqI+/3wU08XQFAAA0eA02HLNYLBo6dKjmzp0rqejUyvLCsf379zsEWiU383fFyy+/7DBORESEZs6cWWZ5o81m08KFCzV79mxjWeS8efMUGxuruLi4cscuLCzUU0895RCMxcXFacaMGWrWrJlD35SUFD3++OPasmWLZs6c6XT92dnZGj9+vBGM+fv7a9y4cRo5cqQCAwPL9N+xY4eefPJJY4bZ3Llz1atXL/Xq1cvpZ3pKQkKCw6lowcHB6tOn/u7NUxuC3rnS5XuKZ2aU/TQAqEtnr3q8TDBm8PLW2aser7fh2PqUfK04kF9pnxUH8rU+Jd/l2WPuVJ1fI9Fw1Lff75jJCABA7WuQp1UWKxl0JSYmKjk5uUyfb775xnjdo0cPtW3b1uXn/Pnnn1q0aJHRDg0N1YIFC8rd98vLy0tjxozR9OnTjWt2u13Tp0+XvYJ/nVy6dKl27dpltC+//HK99dZbZYIxSWrTpo3mzZunzp07Kz+/8r+AlPT666/r0KFDkor2RHv33Xd13333lRuMSVJ0dLQWL16syMhISUWh3+uvv+708zwlNzdXkydPdrh25513Vvh1AkB9Ym15qexNOlTax960o6wt6udekFXNGnO1HwAAAOAODToci4yMVLdu3Yx2ySBMKgp0Sl6r7qyxjz/+WDabzWg/8sgjioqKqvSeYcOGacCAAUY7OTnZ4VCAkj799FPjta+vr6ZNmyZfX98Kxw4MDNS0adOcrL7oQIIvvvjCaN9zzz1ObegfEhKiZ555xmhv2rRJe/dWsRG3h/397383QkBJ6tChg+655x7PFQQALrCFtHJrv7rkzKyxYsWzxwAAAIC60KDDMclxD7Fly5Y5zM5av369sf+Xv7+/rr322mo9Y9WqVcbr0NBQjRgxwqn77r777grHKZaamqrt27cb7bi4OLVr167KsS+55BL16OHcKWUrVqxQbm6upKKZbSNHjnTqPknq27evw0EHGzZscPreuvbRRx85hKF+fn7V2psNADzFKzPVrf3qkquzwZg9BgAAgLrSYPccKzZkyBDNmDFDBQUFOnz4sDZv3mycRllyI/7+/fsrJCTE5fFPnDihlJQUo92nTx/5+Tm3T0pMTIyaNGli7POVmJhYps/WrVsd2v369XO6tgEDBmjLli1V9iu5/1ZkZKSaN2/u9DO8vLzUpk0bnT59WlLRwQH10fLlyzVr1iyHa1OnTtXFF1/soYo8K/uBX13qb7FYFBpa9N/H6dOZFS4BBiT2a6pN3kd/l+XkfodTKkuznNwv77SkCt/3BFdmjRXz5N5jrv4aiYaD3+8AADCnBh+OhYaGqn///lqxYoWkokAsJiZGOTk5WrlypdGvuksqDx486NDu3LmzS/dHR0dr7dq1xlh2u10Wi8V4/8CBAw79O3Xq5PTYztayY8cOh+dFR0c7/QxJslqtxuuMjAyX7q0L69at0xNPPOGw9PWxxx7TDTfc4MGqPMzVk68sFlkCw4peF/jUj9O7AJPy/3m28q5/q/xN+W1W+f88u+6LqkJ1Z4F57ORKTgc0L36/AwDAlBp8OCYVLa0sDse+//57TZ482WEpYdOmTdW3b99qjV08Y6qYK7OuSve3Wq3KyclRUFBQheM3bdrU6bHL27C/POnp6Q7tkmGXq7Kysqp9b234/fff9dBDD6mgoMC4dvfdd+u+++7zYFVAw5Z7x7LKO1gsCgkOliRlZmXxl09nnM1W46X3ylKQI5+Da9Tom4d09qrHHWaQWU7ul//Ps42TKu2+gToz/H3JP6iiUetEQuIfWnGgens7rjiQr9WXTFfP7pdU3InPEwAAAGrIFOFYXFycwsPDlZ6erqysLK1atUpfffWV8f6QIUPk41O9b0VOjuO/hjdu3Nil+wMCAsqMVzIcKw7wqjO+s33dGWjVp+UHe/bs0X333efwPbzpppv0xBNPeLAqoOGzNbug0vctFossYWGSJLt/Rr36daM+y/vrq2r09YOy2Arlc3CNfA6ukbVFV9lCWskrM9VhKaXdy0d5f31VttbdPVhxkX+8+3QN7/+XlixZUuH7fJ4AAABQU6YIx3x9fTVkyBB9/PHHkqR58+Y5LCWs7pJKqehkyJLOnDnj0v2lw6/S45UOz86cOaPw8HCnxna2lkaNGhkzqy699FJ9/vnnTt1Xn/3555+66667HJZ5XnvttZo6darnigKAGrBG9lHesLlq9N2jspwt+kcN77SkMvuL2f2DlTfkFVkj+3iiTAcJCQmKj4+v0Rjx8fFKSEhQz5493VQVAAAA4KjBn1ZZrOSpldu3bzf+ZfmCCy5Qly5dqj1uyZMaJen48eMu3V+yv7e3d5lwrPT4J0+edHrsEydOONWvZNhWeonluejYsWMaM2aMw/c2Li5Os2fPlpeXaT7yABoga2Qf5dy9Umf7PSVbeKTDe7bwSJ3t95Ry7l5ZL4IxSWUOQvH0OAAAAEB5TDFzTJK6du2qjh07av/+/Q7XS4Zm1REVFeXQdvW0xpL9o6KiHDbjl6QOHTo4tHft2qVLLqlk75VSfZ3RsWNH/fnnn5KklJQUnT59ukwod644deqUxowZoyNHjhjXevbsqTfeeEO+vr4erAwA3KRRqAp6jFZB9zukvAxZ8nNk9wuUGoVJpX4P8aTU1NQazxorFh8fr9TUVLVq1cot4wEAAAAlmWoaTekgzMvLS0OHDq3RmM2aNVPbtm2N9tq1a5Wf79xx9Zs3b3aYCda9e9m9Ybp16+bQXrNmjdO1OfuXkt69exuvbTab2/4yU9eys7N1zz33OJzweemll+qdd96Rv7+/BysDgFpgsUiNw2UPbSM1Dq9XwZgkBQUFqWXLlm4Zq2XLlg77cQIAAADuZJqZY5I0YsQIh5AkPDxcERERNR534MCBmj9/vqSi0yW//PJL3XrrrVXe99FHHzm0r7766jJ9WrVqpejoaGOPtNWrV+vw4cMOgVx5tm3bpi1btjhV/+DBgzV79mxj37F3331X11133TkVKOXl5emBBx7Q9u3bjWudOnXS+++/X2apKgCg9oWEhGjjxo0OWxlUh8ViUZcuXcrswQkAAAC4i6nCsWbNmmnMmDFuH3fkyJFauHChbDabJGnOnDnq3bu3IiMjK7xn2bJlWrlypdGOjIzUVVddVW7fW265RVOmTJEkFRQUaMqUKXr//fcrPGEzNzdXU6ZMcfovIy1atNCNN96oTz75RJJ08OBBPfXUU5o1a5bTSxHtdrvWr1/vMAutrhQWFmrChAnauHGjcS0qKkoffvjhObs8FAAagoCAAMXGxnq6DAAAAKBSplpWWVvatWunUaNGGe3Tp09r9OjRWr9+fZm+NptNixYt0jPPPONw/Zlnnimz31ix4cOH66KLLjLa69at07hx48rdnP/IkSO69957tX37dvn5+Tn9NTzyyCNq37690V6+fLluv/12bd68udL70tLStGDBAg0dOlQPP/yw089zF7vdrqeeekqrV682rrVp00YLFixQ06ZN67weAAAAAABwbjHVzLHaNGnSJCUmJiopKUlSUWg0evRodenSRT169FBwcLBOnDihX375RUePHnW495577lFcXFyFY/v6+mrmzJm67bbblJubK0n66aefNGDAAPXt21dRUVGyWq3at2+f1q1bp4KCAlksFj355JOaNm2aU/WHhoZq7ty5uuOOO4xTLrdu3arbbrtN7du3V/fu3dW8eXP5+fkpKytLx44d086dO3X48GFjhlpwcLDL37eaSk1N1b///e8y1/r37+/SOK1bt3aYyQcAAAAAAMyBcMxN/Pz8NH/+fI0fP15r1641rm/fvt1hH6ySLBaLHn74YT300ENVjt+5c2e9//77uv/++5WdnS2paJ+t8gIdLy8vPfroo+rXr5/T4ZhUdGrl0qVLNXHiRIf9ypKTk5WcnFzl/a7MVHOX8paOFi9vdYXVanVHOQAAAAAA4BzDsko3CgwM1Lx58zRnzhyHZZCl+fj4KC4uTkuXLnUqGCsWExOj7777ToMHD65wv7EuXbpo3rx5uvfee12uX5IiIiL0r3/9S2+//bZ69uxZ4XOKBQQEqG/fvpo2bZp++OGHaj0TAAAAAADAUyz2mhwhhUqlpqZq69atOnHihHJzcxUaGqoWLVooNja2xkfSnzp1Shs2bFBaWppsNpsiIiLUqVMnnX/++W6qvkhOTo4SExOVlpamjIwMFRYWKiAgQM2bN1dUVJQ6duzo9Kb9DVF6erqnS6gTFotFYWFhkqSMjIwanTwH8HmCO/F5gjvxeYI78XmCO/F5gjs1hM9TeHi4W8djWWUtatWqlVq1alUrYzdp0kTXXnttrYxdUmBgoPr06VPrzwEAAAAAAPAEllUCAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtHw8XQBqT0pKigYOHGi0X3rpJQ0fPtwjtbzxxht68803jfbu3btr5Tk2m01//vmnkpOTdezYMWVmZio/P18BAQEKCwtTp06ddMEFF8jb27tWng8AAAAAAM4t53w4VjoAKtarVy8tXLjQ5fGOHTum/v37y2q1Olzv2bOnFi1aVO06UXtOnTqlDz74QFu2bNHOnTt15syZSvuHhoZq6NChuvvuu9WyZcs6qhIAAAAAANRHDXZZZUJCgo4ePeryfcuWLSsTjKF+O3LkiObNm6ctW7ZUGYxJ0unTp7Vo0SJdd911Wrp0aR1UCAAAAAAA6qtzfuZYRex2u7755hs98MADLt33zTff1FJFqCvNmjXThRdeqPbt2ys0NFTe3t7KyMjQzp07tXXrVtlsNklSbm6unn76aRUUFOhvf/ubh6sGAAAAAACe0ODCscaNGxuzh1wNx7Zt26a9e/dKknx8fGSxWFRQUFArdcJ9vL29FRsbq8GDB+vKK69Uhw4dKux75MgRTZ06VatXrzauzZgxQ71791a7du3qoFoAAAAAAFCfNLhllf379zc2Wz9w4ICSkpKcvvfrr782Xvfp00eNGjVyd3moBdHR0fr44481atSoSoMxSWrdurXefvttXXnllca1vLw8LV68uLbLBADUM1arVcnJyWynAAAAYHINLhxr1qyZrrjiCqPt7DLJgoICffvtt0b7+uuvd3ttqB+8vb312GOPOVz75ZdfPFQNAMBTxo0bp+7du2vcuHGeLgUAAAAe1ODCMUkaNmyY8fq7775zamnkmjVrlJ6eLkkKCQkp9wRMNBxdunRRQECA0a7O4Q0AgHNXQkKCPvvsM0nSZ599poSEBA9X1PDY7Xadzjupo1nJOp13Una73dMlAQAAlKvB7TkmSYMGDVJQUJCys7OVnp6uNWvWaNCgQZXeU3JJ5TXXXCN/f/8a13H06FElJibq1KlTysnJUWhoqFq0aKGYmBgFBQXVaOz09HRt2LBBaWlpstlsioiIUKdOndSxY8ca111SamqqkpKSdPLkSWVlZSkkJEQRERGKiYlRaGioW59V1wIDA5WbmytJ/IEdAExm1qxZZdpLlizxUDUNS9bZDP2w9zN9u2uhUjL3G9fbhHTU/3W6Q4Mv+JuC/cM8VyAAAEApDTIca9SokQYPHqwvv/xSkrRs2bJKw7GMjAyHDdpruqRy+fLleuedd7R79+5y3/f19dWVV16piRMnqnPnzi6NfezYMc2YMUM//vijCgsLy7zftWtXPfroo+rdu3e1apekwsJCLV26VAsWLNC+ffvK7ePt7a3evXtrwoQJ6tq1a7Wf5Sl5eXnKyMgw2m3btvVcMQCAOpWQkKD4+HiHa/Hx8UpISFDPnj09VFXDkJASr+mrH1BOfmaZ91Iy9+udhOe1aOs/9Vy/dxXbpr8HKgQAACirQYZjUtHSyuJw7KefftLp06crnOlUcull27ZtFRMTU61n5uTkaMKECVXuX1VQUKDVq1fr559/1sMPP6yxY8c6Nf6mTZt0//33Kzs7u8I+SUlJuuuuuzRp0iQNHjzYpfol6fDhwxo7dqz27NlTaT+r1aq1a9fq119/1cSJE106FbQ++P777x2W2/bvzx/QAcAsSs8aK3nd1dljh9J3uaOkBmHbsQ1647dnZLX/74CDzs0vU0RQGx3LTtHO45slSTn5mXpu5e16uPdLujiifoWRFotFwYUhkqSsrEyPzSyPDO/kkecCAGBWDTYci42NVevWrXXkyBHl5+dr+fLluvXWW8vtW3JJZXVnjeXn52vMmDFlTsfs3LmzLrvsMgUHB+v48eNau3at0tLSJEk2m02vvfaacnNzNWnSpErH37lzp+677z7l5OQY1/z9/dWnTx916NBBVqtV+/bt02+//aaCggLNnj3b5aWhu3fv1pgxY3Tq1CnjWmBgoGJiYtShQwcFBAQoMzNTSUlJ+v333yUVLUecM2eO8vPzNX78eJee5yl79+7VzJkzjXZ4eLhGjx7twYoAAHWlvFljxaoze+yer/q5qbKG5fK2V+ve2MlqH3ahcS05Y4/e2zhVGw7/KKvdqlfXPeHBCuu3H+9K83QJAACYSoMNxywWi4YOHaq5c+dKKjq1srxwbP/+/Q6BVsnN/F3x8ssvO4wTERGhmTNnllneaLPZtHDhQs2ePdtYFjlv3jzFxsYqLi6u3LELCwv11FNPOQRjcXFxmjFjhpo1a+bQNyUlRY8//ri2bNniEABVJTs7W+PHjzeCMX9/f40bN04jR45UYGBgmf47duzQk08+acwwmzt3rnr16qVevXo5/cy6YrfblZ2drT179mjFihX65JNPdPbsWUlSQECA3njjDTVt2tTDVQJoiDLOnPB0CQ2exWKR3a9oJvDpM6ernOkz4x/Tq3x//uIP3FafGV3e9mq9MHC+vL28Ha63D7tQUwcu0JRVo7Xh8I8equ7cwK8dDYOrvz5VJaxxs6o7AQCqpcGGY1JR0FUcjiUmJio5OVnt27d36PPNN98Yr3v06FGtvaf+/PNPLVq0yGiHhoZqwYIFioqKKtPXy8tLY8aMUVhYmJ588klJReHN9OnTddVVV8lisZS5Z+nSpdq163/LNi6//HK99dZb8vX1LdO3TZs2mjdvnkaOHKmdO3c6/TW8/vrrOnTokKSiPdHefffdSvcti46O1uLFi3XTTTfp0KFDstlsev3117V48WKnn1lbDhw4oP/7v/8z2jabrdw/jPTr109PP/20IiMj67A6AGZy4ycXe7oElJB9yKY9q8vu11nSz6t/0TUvRSsoskEe6F0n7oudUiYYK+bt5a37YqcQjlWBXztQHmYUAkDtadB/8ouMjFS3bt2MdskgTCoKTUpeq+6ssY8//lg2m81oP/LII+UGYyUNGzZMAwYMMNrJyckOhwKU9OmnnxqvfX19NW3atHKDsWKBgYGaNm2ak9UXHUjwxRdfGO177rnHqQ39Q0JC9MwzzxjtTZs2ae/evU4/t7bY7XZZrVbjf6WDMS8vL40aNUpTp04lGAMAE0lbaa26kwv9UFbn5pepXdgFlfZpH3ahOjXvUUcVAQAAVK1Bh2OS4x5iy5YtcwhK1q9fb+z/5e/vr2uvvbZaz1i1apXxOjQ0VCNGjHDqvrvvvrvCcYqlpqZq+/btRjsuLk7t2rWrcuxLLrlEPXo49wfPFStWKDc3V1JRcDRy5Ein7pOkvn37Ohx0sGHDBqfv9RSbzaZFixZp4MCBmjlzpvLz8z1dEgCglmUfsilzt3NLmjJ325V9yFZ1R5QREdTGrf0AAADqQoMPx4YMGWLMsjp8+LA2b95svFdyI/7+/fsrJCTE5fFPnDihlJQUo92nTx/5+fk5dW9MTIyaNGlitBMTE8v02bp1q0O7X79+TtdWcmZaZRISEozXkZGRat68udPP8PLyUps2//sDritLOWtLx44dtXv3buN/f/zxh3755Re99957Gj58uPF5KCgo0IcffqgHH3yQgAwAGjhXZ4Mxe6x6jmWnVN3JhX4AAAB1oUHvOSYVzeTq37+/VqxYIakoEIuJiVFOTo5Wrlxp9KvuksqDBw86tDt37uzS/dHR0Vq7dq0xlt1ud9h37MCBAw79O3Vy/mhvZ2vZsWOHw/Oio6OdfoYkWa3/+wtERkaGS/fWBT8/P5133nk677zzFBcXp9GjR+uBBx7Q0aNHJUlr167VW2+9pUceecTDlQJoaJbcus3TJTR4FovFmMF8+nT5G15v2ZSoG3f/zaVxM3fb9cwFi9Qjpnul/dgbytHO45uVnLHH4ZTK0pIz9mjX8S11WNW5h187GgZnfn0CANQPDT4ck4qWVhaHY99//70mT57ssJSwadOm6tu3b7XGPn36tEPblVlXpftbrVbl5OQoKCiowvFdOVWx9EmWFUlPT3dolwy7XJWVlVXte+tKp06d9P777+uGG25QQUHRCULz58/XnXfeqbCwMM8WB6BB4WSx2mexWBQWEFb0Ot+33L98vv3au9Ua++3X3tWSJUtqUp4pvbdxqqYOXFDupvxWm1XvbZzqgarOLfza0TA48+sTAKB+MEU4FhcXp/DwcKWnpysrK0urVq3SV199Zbw/ZMgQ+fhU71uRk5Pj0G7cuLFL9wcEBJQZr2Q4VhzgVWd8Z/u6M9A6V37Tv+CCC3TdddcZBzLk5eVp9erV1Z5BCAConxISEhQfH1+te+Pj45WQkKCePXtW2GfeDaurWVnDkpOfpadW3KIzBTnacPhHTVk1WvfFTnGYQZacsUfvbZxqnFTZ2DdQ//jLpwr0C/ZU2WVYLBYFBxdts5GVlXnO/LkGAADUjCnCMV9fXw0ZMkQff/yxJGnevHkOSwlrEogEBgY6tM+cOePS/aXDr9LjlQ7Pzpw5o/DwcKfGdraWRo0aGTOoLr30Un3++edO3Xeuu+KKKxxOK929e7cHqwEA1IZZs2bV+P7KZo9Fhju/3UFDN6X/PD23cpSs9kJtOPyjNhz+UZ2a91BEUBsdy05xWErpbfHRlP7z1CUi1oMVl2WxWIxZ5Bk+GYRjAACYRIPfkL9YyVMrt2/fbvxh54ILLlCXLl2qPW7Jkxol6fjx4y7dX7K/t7d3mXCs9PgnT550euwTJ0441a9k2FZ6iWVDVnrZaXZ2tocqAQDUhprMGitWPHsMVYtt018vXr1IgX7/O+Bo1/EtWnNwmUMwFugXohevXqTYNv09USYAAEAZpgnHunbtqo4dO5a5XjI0q46oqCiHtqunNZbsHxUV5bAZvyR16NDBob1r1y6nx3a2b8nvS0pKSpl9zhqq0mFYdU4rBQDUXzWdNebuccwgtk1/fXxTgh7sNVVtQhz/3NUmpKMe7DVVH9+UQDAGAADqFdOEY1LZIMzLy0tDhw6t0ZjNmjVT27ZtjfbatWuVn5/v1L2bN292mAnWvXvZE7G6devm0F6zZo3TtTn7r+W9e/c2Xttsthr/K/u5ouTSWklq2bKlhyoBALhbamqq234/i4+PV2pqqlvGMoNg/zCN6HKfPhqxVl/etkOLbtqgL2/boY9GrNWILvcp2D/M0yUCAAA4MMWeY8VGjBghf39/ox0eHq6IiIgajztw4EDNnz9fUtHpkl9++aVuvfXWKu/76KOPHNpXX311mT6tWrVSdHS0EeSsXr1ahw8fdgjkyrNt2zZt2eLcMemDBw/W7NmzjX3H3n33XV133XUO36uGJi8vT//+978drl1xxRUeqgYA4G5BQUFq2bKljh49WuOxWrZs6XBYDpxjsVgU2qiJQhs18XQpAAAAlTJVONasWTONGTPG7eOOHDlSCxculM1mkyTNmTNHvXv3VmRkZIX3LFu2TCtXrjTakZGRuuqqq8rte8stt2jKlCmSpIKCAk2ZMkXvv/9+hSds5ubmasqUKU5vItuiRQvdeOON+uSTTyRJBw8e1FNPPaVZs2bJ19fXqTHsdrvWr1/vMAutLuTn5+vAgQPq1Mn5DZFtNpuef/55h1kAl156aZklrACAc1dISIg2btzosM9odVgsFnXp0qXMATkAAABoOEwVjtWWdu3aadSoUVqwYIGkotljo0eP1syZM3X55Zc79LXZbFq8eLFmzpzpcP2ZZ54ps99YseHDh2vx4sXGaYrr1q3TuHHjNH36dDVt2tSh75EjR/TEE09o+/bt8vPzc3qJ5yOPPKJ169YpOTlZkrR8+XKlpqbqiSee0GWXXVbhfWlpafrhhx+0ZMkSHT16VJs2bXLqee6Sl5enYcOG6S9/+YtuuOEGXXnllfLz86uw/++//67Zs2dr48aNxjUvLy89++yzdVEuAKAOBQQEKDa2fp2GCAAAgPqHcMxNJk2apMTERCUlJUkqCo1Gjx6tLl26qEePHgoODtaJEyf0yy+/lFnicc899yguLq7CsX19fTVz5kzddtttys3NlST99NNPGjBggPr27auoqChZrVbt27dP69atU0FBgSwWi5588klNmzbNqfpDQ0M1d+5c3XHHHcYpl1u3btVtt92m9u3bq3v37mrevLn8/PyUlZWlY8eOaefOnTp8+LDxL/LBwcEuf9/cwW6364cfftAPP/ygxo0bq1OnTjr//PMVGhqqxo0bKycnR2lpafrjjz90+PBhh3stFotefPFFXXrppR6pHQAAAAAAeBbhmJv4+flp/vz5Gj9+vNauXWtc3759u7Zv317uPRaLRQ8//LAeeuihKsfv3Lmz3n//fd1///3GKYt5eXkOSzOLeXl56dFHH1W/fv2cDsekolMrly5dqokTJzrsV5acnGzMKKtMZTO26sqZM2eUmJioxMTEKvtGRETohRdeUP/+nJgFAAAAAIBZmeq0ytoWGBioefPmac6cObrooosq7Ofj46O4uDgtXbrUqWCsWExMjL777jsNHjy4wv3GunTponnz5unee+91uX6pKDD617/+pbfffls9e/as8DnFAgIC1LdvX02bNk0//PBDtZ5ZE4GBgZo5c6b+7//+z+nDFaKjo/Xss89q+fLlBGMAAAAAAJicxV6TXWpRqdTUVG3dulUnTpxQbm6uQkND1aJFC8XGxtb41KtTp05pw4YNSktLk81mU0REhLGc0J1ycnKUmJiotLQ0ZWRkqLCwUAEBAWrevLmioqLUsWNHpzftrwv//e9/tX//fqWkpCgzM1N5eXkKCAhQUFCQ2rRpoy5duigkJMRtz0tPT3fbWPWZxWJRWFiYJCkjI6NGm1sDfJ7gTnye4E58nuBOfJ7gTnye4E4N4fMUHh7u1vFYVlmLWrVqpVatWtXK2E2aNNG1115bK2OXFBgYqD59+tT6c9zlvPPO03nnnefpMgAAAAAAwDmCZZUAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhWAOWkpKiiy66yPjf0qVLPVbLG2+84VALAAAAAABAfeDj6QJqKiUlRQMHDixzvVevXlq4cKHL4x07dkz9+/eX1Wp1uN6zZ08tWrSo2nXC81588cUyP8MbbrhB//jHPzxUEQAAAAAA8LQGO3MsISFBR48edfm+ZcuWlQnGcO7bunWrFi9e7OkyAAAAAABAPdNgwzG73a5vvvnG5fuqcw/qt4KCAk2ePFk2m83TpQAAAAAAgHqmwYVjjRs3Nl67GnRt27ZNe/fulST5+PjI19fXrbXBM9577z3t2bNHktS8eXMPVwMAAAAAAOqTBheO9e/fX97e3pKkAwcOKCkpyel7v/76a+N1nz591KhRI3eXhzp24MABvfPOO5KKgtNHH33UwxUBAACYl9VqVXJyMtuYAADqlQYXjjVr1kxXXHGF0XZ29lhBQYG+/fZbo3399de7vTbULbvdrsmTJys/P1+SNHbsWLVu3drDVQEAAJjXuHHj1L17d40bN87TpQAAYGhw4ZgkDRs2zHj93XffqaCgoMp71qxZo/T0dElSSEhIuSdg4tzy6aefatOmTZKkCy+8UHfeeaeHKwIAADCvhIQEffbZZ5Kkzz77TAkJCR6uCKiY3W5X4ak85f+ZpcJTebLb7Z4uCUAt8vF0AbVh0KBBCgoKUnZ2ttLT07VmzRoNGjSo0ntKLqm85ppr5O/vX+M6jh49qsTERJ06dUo5OTkKDQ1VixYtFBMTo6CgoBqNnZ6erg0bNigtLU02m00RERHq1KmTOnbsWOO6S0pNTVVSUpJOnjyprKwshYSEKCIiQjExMQoNDXXrs9zp2LFj+uc//ylJslgseuGFF9hDDgAAwINmzZpVpr1kyRIPVQOUz5pxVulL9uvkx3uUfyDTuO7XIURNb79Q4Td2lHdYzf+uCKB+aZDhWKNGjTR48GB9+eWXkqRly5ZVGo5lZGRo9erVRrumSyqXL1+ud955R7t37y73fV9fX1155ZWaOHGiOnfu7NLYx44d04wZM/Tjjz+qsLCwzPtdu3bVo48+qt69e1erdkkqLCzU0qVLtWDBAu3bt6/cPt7e3urdu7cmTJigrl27VvtZtWXatGnKysqSJN18883q0aOHhysCAAAwr4SEBMXHxztci4+PV0JCgnr27OmhqgBHWauP6M9xP8uWWXblUf6BTB2duknHXv1d7d66SsFxbNcCNCQNMhyTipZWFodjP/30k06fPl3hTKeSSy/btm2rmJiYaj0zJydHEyZM0C+//FJpv4KCAq1evVo///yzHn74YY0dO9ap8Tdt2qT7779f2dnZFfZJSkrSXXfdpUmTJmnw4MEu1S9Jhw8f1tixY43THStitVq1du1a/frrr5o4caIeeOABl59VW1asWKGVK1dKkpo2barHHnvMwxUBAACYW+lZYyWvM3usfsvbneHpEupEzsb/KnXyBsn6v+WTjXs0k1/rIOUfydaZLSckSbbMAh0aE69W03opMPa8OqvPYpFyQooOssjLzJQnVnk2uiis7h8K1JEGG47FxsaqdevWOnLkiPLz87V8+XLdeuut5fYtuaSyurPG8vPzNWbMmDKnY3bu3FmXXXaZgoODdfz4ca1du1ZpaWmSJJvNptdee025ubmaNGlSpePv3LlT9913n3Jycoxr/v7+6tOnjzp06CCr1ap9+/bpt99+U0FBgWbPnu3y0tDdu3drzJgxOnXqlHEtMDBQMTEx6tChgwICApSZmamkpCT9/vvvkorW4s+ZM0f5+fkaP368S8+rDVlZWZo6darRfuqpp+r18k8AAICGrrxZY8WYPVb/7b16madLqHPBA9uoxTM91OiCMONa3t4MpU3frKz4I5LVrtRn1nuuQA+55M87PF0CUGsabDhmsVg0dOhQzZ07V1LRqZXlhWP79+93CLRKbubvipdfftlhnIiICM2cObPM8kabzaaFCxdq9uzZxrLIefPmKTY2VnFxceWOXVhYqKeeesohGIuLi9OMGTPUrFkzh74pKSl6/PHHtWXLFs2cOdPp+rOzszV+/HgjGPP399e4ceM0cuRIBQYGlum/Y8cOPfnkk8YMs7lz56pXr17q1auX08+sDbNmzdLx48clSVdccYWGDh3q0XoAAADMrqJZY8VmTv+HPvvwX3VUTd2xWCzKL8iVJBVmsqH7uSJ4YBu1n9dPFm/Hs+saXRCm9h/0V/LdPxUFZCZUeDLP0yXATUr/+uTdhH30Gmw4JhUFXcXhWGJiopKTk9W+fXuHPt98843xukePHmrbtq3Lz/nzzz+1aNEiox0aGqoFCxYoKiqqTF8vLy+NGTNGYWFhevLJJyUVzb6aPn26rrrqKlksljL3LF26VLt27TLal19+ud56661yN5hv06aN5s2bp5EjR2rnzp1Ofw2vv/66Dh06JKloT7R333230n3LoqOjtXjxYt100006dOiQbDabXn/9dS1evNjpZ7rbxo0b9cUXX0gqCvf+/ve/e6wWAAAAVD5rrNhPv6zWF11n6mLvsn92Bupai2cvKxOMFbN4e6nFs5eZNhzb2f1zT5eAWsKsQKn8/+obiMjISHXr1s1olwzCpKJZXCWvVXfW2McffyybzWa0H3nkkXKDsZKGDRumAQMGGO3k5GSHQwFK+vTTT43Xvr6+mjZtWqUnLwYGBmratGlOVl90IEFxqCRJ99xzj1Mb+oeEhOiZZ54x2ps2bdLevXudfq475efna/Lkyca/yN1///1lglAAAADUrapmjRVbkP9DLVcCVK1xj2ZqdH7lW7I0uiBMjbs3q7QPgHNPgw7HJMc9xJYtW+YwnXn9+vXG/l/+/v669tprq/WMVatWGa9DQ0M1YsQIp+67++67KxynWGpqqrZv32604+Li1K5duyrHvuSSS5w+oXHFihXKzS2aUunl5aWRI0c6dZ8k9e3b12FPrw0bNjh9rzu99dZbOnjwoCQpKipK9957r0fqAAAAQBFnZo0Zfa27tM16sJYrAirn1zrIyX5lt50BcG5r8OHYkCFDjFlWhw8f1ubNm433Sm7E379/f4WEhLg8/okTJ5SSkmK0+/TpIz8/P6fujYmJUZMmTYx2YmJimT5bt251aPfr18/p2krOTKtMQkKC8ToyMlLNmzd3+hleXl5q06aN0XZlKae77N69Wx988IHRfuGFF5z+GQAAAKB2ODtrrBizx+Bp+UeyneyXU3UnAOeUBr3nmFQ0k6t///5asWKFpKJALCYmRjk5OVq5cqXRr7pLKotnKxXr3LmzS/dHR0dr7dq1xlh2u91h37EDBw449O/UqZPTYztby44dOxyeFx0d7fQzJMlqtRqvMzIyXLq3pmw2m5577jkVFBRIkm644QaPHwoAAABgdq7MGjPuse5S9ocdFNs9ppaqqlsWi8X4x/fMzMxzdkN+M+0zdWbLCeXtzXA4pbK0vL0ZOpN4ou6Kqkc6J97s6RLgJqV/fYIJwjGpaGllcTj2/fffa/LkyQ5LCZs2baq+fftWa+zTp087tF2ZdVW6v9VqVU5OjoKC/jedt/T4TZs2dXrs0idZViQ9Pd2hXTLsclVWVla1762ORYsWGaeEhoWF6YknnqjT5wMAAKAsV2eNFfvnO69qyZIlbq7GMywWi/zCAiRJPr7552w4ZjZp0zer/Qf9y92U3261KW365nLuMgefpo08XQLchF+fyjJFOBYXF6fw8HClp6crKytLq1at0ldffWW8P2TIEPn4VO9bkZPjOKW2cePGLt0fEBBQZryS4VhxgFed8Z3t685Aqy7/o8rLy9Orr75qtJ944gmHZaoAAACoe9WZNVYsPj5eCQkJ6tmzp5urQnVdsHKop0uoddasfB0a9aNsOYXKij+i5Lt/UotnL3OYQZa3N0Np0zcbJ1V6BfooctEgeQfXzXYuFosU/P9n+mRlZoosA3AvU4Rjvr6+GjJkiD7++GNJ0rx58xyWElZ3SaVUdDJkSWfOnHHp/tLhV+nxSodnZ86cUXh4uFNjO1tLo0aNjGWJl156qT7//NyYOp2fn+/w/Zs8ebImT55c6T2lw7uvv/5ay5YtM9rDhg3TjBkz3FsoAACAiVR31ljJ+xvK7LGGoNFFYZ4uoU60eydOh+6Mlwrtyoo/oqz4I2rcvZn8Wgcq/0iO41JKH4vavROnwJjz6qw+i8WiwLAwSVJBhjczfQA3a/Ab8hcreWrl9u3bjV9MLrjgAnXp0qXa45Y8qVGSjh8/7tL9Jft7e3uXCcdKj3/y5Emnxz5xwrm18CXDttJLLM8lVqu1yv/ZbDaHe+x2e6XvAwAAwHk1mTVWrHj2GFCXguNaK/KjAfIK8TWunUk8odPfJjsEY14hvor8aICC41p7okwAtcQ04VjXrl3VsWPHMtdLhmbVERUV5dB29bTGkv2joqIcNuOXpA4dOji0d+3a5fTYzvYt+X1JSUkps88ZAAAA4Iyazhpz9ziAK4LjWqvT2uFqOSVGfh1CHN7z6xCillNi1GntcIIxoAEyxbLKYtdff71eeeUVo+3l5aWhQ2u2hr5Zs2Zq27atDh8+LElau3at8vPz5edX9drzzZs3O8wE6969e5k+3bp1c2ivWbNGN910k1O1Ofuvdr1799ZPP/0kqej0x/j4eN1www1O3etJISEh2r17t0v3bNiwQXfccYfRvuGGG/SPf/zD3aUBAACYTmpqao1njRWLj49XamqqWrVq5ZbxAGd5h/mr2T3Ranp3Z1kzzsqWVSCvYF95h/mXmcgAoOEwVTg2YsQI+fv7G+3w8HBFRETUeNyBAwdq/vz5kopOl/zyyy916623VnnfRx995NC++uqry/Rp1aqVoqOjjT3SVq9ercOHD6tt27aVjr1t2zZt2bLFqfoHDx6s2bNnG/uOvfvuu7ruuuscvlcAAABAZYKCgtSyZUsdPXq0xmO1bNnS4ZAqoK5ZLBb5hDeSwjmhETADU4VjzZo105gxY9w+7siRI7Vw4UJjv6o5c+aod+/eioyMrPCeZcuWaeXKlUY7MjJSV111Vbl9b7nlFk2ZMkWSVFBQoClTpuj999+v8ITN3NxcTZkyxelNGlu0aKEbb7xRn3zyiSTp4MGDeuqppzRr1iz5+vpWcXcRu92u9evXq3fv3k71BwAAQMMSEhKijRs3OuzvWx0Wi0VdunQpczAVAAC1xVThWG1p166dRo0apQULFkgqmj02evRozZw5U5dffrlDX5vNpsWLF2vmzJkO15955pkKp+kOHz5cixcvNpYQrlu3TuPGjdP06dPVtGlTh75HjhzRE088oe3bt8vPz0/5+flOfQ2PPPKI1q1bp+TkZEnS8uXLlZqaqieeeEKXXXZZhfelpaXphx9+0JIlS3T06FFt2rTJqecBAACg4QkICFBsbKynywAAwCWEY24yadIkJSYmKikpSVJRaDR69Gh16dJFPXr0UHBwsE6cOKFffvmlzFTze+65R3FxcRWO7evrq5kzZ+q2225Tbm6uJOmnn37SgAED1LdvX0VFRclqtWrfvn1at26dCgoKZLFY9OSTT2ratGlO1R8aGqq5c+fqjjvuME653Lp1q2677Ta1b99e3bt3V/PmzeXn56esrCwdO3ZMO3fu1OHDh41/GQwODnb5+wYAAAAAAOBJhGNu4ufnp/nz52v8+PFau3atcX379u3avn17ufdYLBY9/PDDeuihh6ocv3Pnznr//fd1//33Kzs7W5KUl5fnsDSzmJeXlx599FH169fP6XBMKjq1cunSpZo4caLDfmXJycnGjLLKOHMIAQAAAAAAQH3i5ekCGpLAwEDNmzdPc+bM0UUXXVRhPx8fH8XFxWnp0qVOBWPFYmJi9N1332nw4MEV7jfWpUsXzZs3T/fee6/L9UtSRESE/vWvf+ntt99Wz549K3xOsYCAAPXt21fTpk3TDz/8UK1nAgAAAAAAeIrFXpPdMlGp1NRUbd26VSdOnFBubq5CQ0PVokULxcbG1vj0nVOnTmnDhg1KS0uTzWZTRESEOnXqpPPPP99N1RfJyclRYmKi0tLSlJGRocLCQgUEBKh58+aKiopSx44dnd60vyFKT0/3dAl1wmKxKCwsTJKUkZFRo012AT5PcCc+T3AnPk9wJz5PcCc+T3CnhvB5Cg8Pd+t4LKusRa1atVKrVq1qZewmTZro2muvrZWxSwoMDFSfPn1q/TkAAAAAAACewLJKAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BwP9j787jqq7z/v8/D6sCgriEu6BZopfmApqloWZj5XVZU81VaaVTZl2lpo79arwmZ3G01L7jVU1Zl8yVW7tROulVmahFpaRiJC65hSBCLoAsKodzzu8PLj5x2DwHDhzg87jfbt3mvA/v9/vz0s4YPnkvAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CsRYsMzNT1157rfFPQkKC12p55ZVXnGoBAAAAAABoCvy8XUB9ZWZm6uabb67y/vDhw7VmzRq358vJydGYMWNks9mc3h82bJjWrl1b5zrRsMaOHatTp07Vaeznn3+unj17ergiAAAAAADQHLTYlWPJyck6ffq02+M2btxYJRgDAAAAAABAy9RiwzGHw6ENGza4Pa4uY9C0WCwW+fr6uvyPxWLxdskAAAAAAMBLmv22yspat26tixcvSioLuh5//HGXx+7fv19HjhyRJPn5+clischqtTZInWg4d955p1544QVvlwFUy2azKTMzU926dZOvr6+3ywEAAAAA02txK8fGjBlj/IXz+PHjSk1NdXnsxx9/bLweOXKkWrVq5enyAJjcjBkzNHjwYM2YMcPbpQAAAAAA1ALDsQ4dOuiGG24w2q5uk7Rarfrkk0+M9h133OHx2gCYW3Jyst577z1J0nvvvafk5GQvV9Q8OBwOXco/p8Lsk7qUf04Oh8PbJQEAAABoQVpcOCaVbasrt2nTJpe2Ru7YsUO5ubmSpNDQ0GpvwASA+li6dGmtbTi7XJCngx/9t/756Ch9eN8Abfjt9frwvgH656OjdPCj/9blgjxvlwgAAACgBWhxZ45J0rhx4xQSEqLCwkLl5uZqx44dGjduXK1jKm6pvPXWWxUYGFjvOk6fPq2UlBSdP39eRUVFCgsLU6dOnRQTE6OQkJB6zZ2bm6tdu3YpOztbdrtdERER6tu3r3r37l3vuivKyspSamqqzp07p4KCAoWGhioiIkIxMTEKCwvz6LOAliw5OVmJiYlO7yUmJio5OVnDhg3zUlVNV9bubUp64T9kLbpQ5WsFp45r73//ST+89TeN/P3r6jJ0dOMXCAAAAKDFaJHhWKtWrTR+/Hh9+OGHkqSNGzfWGo7l5eVp+/btRru+Wyo3b96s119/XYcPH6726/7+/rrxxhs1e/ZsRUdHuzV3Tk6OFi9erC+++EKlpaVVvj5w4EDNnTtXI0aMqFPtklRaWqqEhAStXr1aR48erbaPr6+vRowYoaeeekoDBw6s87MAs6hpldjSpUu1fv36es2dl179nzVNlUUW2ULbSJIKLhTIIedtkj+nJWv3q/PlsNuM9zr0Hargq7qq6OdTOntojyTJWnRB2xc8qNgnF6tj/+YZMLbtea23SwAAAABMr0WGY1LZ1srycGzbtm3Kz8+vcaVTxa2X3bt3V0xMTJ2eWVRUpKeeekpfffVVrf2sVqu2b9+uL7/8UjNnztQTTzzh0vy7d+/WY489psLCwhr7pKam6uGHH9a8efM0fvx4t+qXpIyMDD3xxBP68ccfa+1ns9mUlJSkr7/+WrNnz3brVlDAbKpbNVbOE6vHNj0+ps5jm7quw8Zp8CPPKaxHH+O9/JNHtPcfC5WV/IUcdpuSX3nGixXWz+T/zfJ2CQAAAIDptdhwLDY2Vl27dtWpU6dUUlKizZs36/7776+2b8UtlXVdNVZSUqKpU6dWuR0zOjpaQ4cOVZs2bXTmzBklJSUpOztbkmS32/XSSy+puLhY8+bNq3X+gwcPavr06SoqKjLeCwwM1MiRI9WrVy/ZbDYdPXpU3377raxWq5YtW+b21tDDhw9r6tSpOn/+vPFecHCwYmJi1KtXLwUFBenChQtKTU3V999/L6nsoOzly5erpKREs2bNcut5DeXQoUOaM2eO0tLSdO7cOUlS27Zt1a1bN8XGxmrcuHHq27evl6tsui7lnavynsUiXXSUBciX8vPFeejueWHxoit+/e1V/9NI1TQfXYeN000L3pTP/91AXC6sRx/FLXhTO/7yW2Ulf+Gl6jyjuv+/wT11+fOpVdv2DVwVAAAAmpMWG45ZLBZNnDhRK1askFR2a2V14dixY8ecAq2Kh/m748UXX3SaJyIiQkuWLKmyvdFut2vNmjVatmyZsS0yPj5esbGxiouLq3bu0tJSPfvss07BWFxcnBYvXqwOHTo49c3MzNTTTz+tvXv3asmSJS7XX1hYqFmzZhnBWGBgoGbMmKHJkycrODi4Sv8DBw7omWeeMVaYrVixQsOHD9fw4cNdfmZDOXjwoA4ePOj0XmFhoTIzM7Vz50698soruummm/SHP/xBPXv29FKVTdeH9w/wdgktyokCu7YfKKm1z/Yvv9KL/9pfUW1a5B0pdTZ42nNVgrFyPr6+GvLIc80+HOP/b97Bij0AAABU1KL/JlYx6EpJSVF6enqVPhs2bDBeDxkyRN27d3f7OSdPntTatWuNdlhYmFavXl3tuV8+Pj6aOnWqFi36ZSWJw+HQokWL5Kjhx90JCQk6dOiQ0b7++uv16quvVgnGJKlbt26Kj49XdHS0Skpq/wt5RS+//LJ++uknSWVnor3xxhuaPn16tcGYJPXr109vvfWWIiMjJZWFfi+//LLLz/O2L7/8UnfffbfTWXNAQ/jfU1XPBqxPP7Po0Heowrr3qbVPWI8+an/tkEaqCAAAAEBL1aLDscjISA0aNMhoVwzCpLJAp+J7dV01tm7dOtntdqM9Z84cRUVF1Trmzjvv1NixY412enp6jUHNu+++a7z29/fXwoUL5e/vX+PcwcHBWrhwoYvVl11I8MEHHxjtadOmuXSgf2hoqObPn2+0d+/erSNHjrj8XE+LiIjQpEmT9Pe//11btmzR3r17tX//fiUlJWnlypW69957FRAQYPQvKCjQrFmzjC2igKedKLDrYL79yh0lHcy360SBa33NIPiqrq71i3CtHwAAAADUpEWHY5LzGWIbN250Wp21c+dO4/yvwMBA3XbbbXV6xtatW43XYWFhuvvuu10a98gjj9Q4T7msrCylpaUZ7bi4OPXo0eOKcw8YMEBDhri2ouLzzz9XcXGxpLKVbZMnT3ZpnCSNGjXK6aKDXbt2uTzWkxYtWqTExET98Y9/1C233KIePXooODhY/v7+6tixo2666Sb95S9/0SeffKJrrrnGGHf58mXNmTPHrVV2gKvcXQ3G6rFfFP18yrV+Oa71AwAAAICatNgzx8pNmDBBixcvltVqVUZGhvbs2WPcRlnxIP4xY8YoNDTU7fnPnj2rzMxMoz1y5Ein1Um1iYmJUbt27YxzvlJSUqr02bdvn1N79OjRLtc2duxY7d2794r9kpOTjdeRkZHq2LGjy8/w8fFRt27dlJ+fL0lVzvpqLK6sdJOknj17atWqVbrnnnuUlVV25sypU6f0wQcfuBUKtmR3v/NDlfcsFhkhaD4H8rtk994UHbzn390aczDfrp5Pr1HMkMFujWuJ51adPbRH+SePON1SWVn+ySM6d/jKf8Y1ZdX9/w3u4c8nAAAA1FeLD8fCwsI0ZswYff7555LKArGYmBgVFRVpy5YtRr+6bqk8ceKEUzs6Otqt8f369VNSUpIxl8PhkMViMb5+/Phxp/7u3LLoai0HDhxwel6/fv1cfoYk2Ww243VeXp5bY72hffv2mjdvnubOnWu8t3nzZsKx/1PdLW4Wi0Wt27aVJF22+Nd4Ph5+8V+vvV7ncevXr/dwNc3T3n8sVFw1t1VKkt1m095/uL59vKni1sT6488nAAAA1FeLD8eksq2V5eHYp59+queee85pK2H79u01atSoOs1dvmKqnDurrir3t9lsKioqUkhISI3zt2/v+l+kqjuwvzq5ublO7Yphl7sKCgrqPLYxjR8/XiEhISosLJRUtkLv4sWLat26tZcrQ0uQnJysxMTEOo1NTExUcnKyhg0b5vKYCa9vq9OzvMUii9qEtpEkFVwokEO/hBnWogIl/uF+lV4sUlbyF9rxl99qyCPPOa0gyz95RHv/sdC4qdKvdbDG/vUd+Qe3adxfCAAAAIAWwRThWFxcnMLDw5Wbm6uCggJt3bpVH330kfH1CRMmyM+vbr8VRUVFTm13w5WgoKAq81UMx8oDvLrM72pfTwZazeUn9n5+fhowYIC+/fZbSVJpaal+/vln9ezZ08uVoSVYunRpvce7s3qsbc9r6/W8xmaxWNT2/1b6+OblVflzY9R/rtT2Pz4kh61UWclfKCv5C7W/doiCI7qqKOeU01ZKi6+fRv3nSnXsF9OYvwQAAAAALYgpwjF/f39NmDBB69atkyTFx8c7bSWs65ZKqexmyIouXrzo1vjK4Vfl+SqHZxcvXlR4eLhLc7taS6tWrWS1WiVJ1113nd5//32XxjV3lVfh5ebmEo6h3uqzaqxcXVaPtSRdho7W6D+vUdLzj8tadEGSdO7w3irni/kHh2rk719Xl6GjvVAlAAAAgJaixd9WWa7irZVpaWnGSoU+ffqof//+dZ634k2NknTmzBm3xlfs7+vrWyUcqzz/uXPnXJ777NmzLvWrGLZV3mLZklUODwMDA71UCVqS+q4a8/Q8zVWXoaN1x5s7NXT6n9Wmay+nr7Xp2ktDp/9Zd7y5k2AMAAAAQL2ZYuWYJA0cOFC9e/fWsWPHnN6vGJrVRVRUlFPb3dsaK/aPiopyOoxfknr1cv5L4aFDhzRggGs30x06dMilfr1799bJkyclSZmZmcrPz68SyrVEGRkZTu127dp5qRK0FFlZWfVeNVYuMTFRWVlZ6tKli0fma44C27RV318/qmvvnKaSglxZiwvlHxSigDbhVf6sBAAAAIC6Ms3KMalqEObj46OJEyfWa84OHTqoe/fuRjspKUklJSUujd2zZ4/TSrDBgwdX6TNo0CCn9o4dO1yuzdW/pI8YMcJ4bbfbPfaX+6bs9OnTOnLkiNFu3769rrrqKi9WhJYgJCREnTt39shcnTt3djp/0MwsFosCQ9sppFMPBYa2IxgDAAAA4FGmWTkmSXfffbfT1rnw8HBFRETUe96bb75Zq1atklR2u+SHH36o+++//4rj3nzzTaf2LbfcUqVPly5d1K9fP+OMtO3btysjI8MpkKvO/v37tXfv3lr7lBs/fryWLVtmnDv2xhtv6Pbbb2/R2wxfe+01p0PAb7zxRv7CjXoLDQ3Vd99957R1uy4sFov69+9f5cxBAAAAAIDnmSoc69Chg6ZOnerxeSdPnqw1a9bIbrdLkpYvX64RI0YoMjKyxjEbN27Uli1bjHZkZKRuuummavved999WrBggSTJarVqwYIFWrlyZY03bBYXF2vBggUu/+W8U6dOuueee/TOO+9Ikk6cOKFnn31WS5culb+/v0tzOBwO7dy502kVWmMoKSlRZmZmle2ntVm/fr3TpQMWi0VTpkxpiPJgQkFBQYqNjfV2GQAAAAAAF5lqW2VD6dGjhx588EGjnZ+frylTpmjnzp1V+trtdq1du1bz5893en/+/Pk1rly66667dO211xrtb775RjNmzKj2cP5Tp07p0UcfVVpamgICAlz+NcyZM8fppsbNmzfrgQce0J49e2odl52drdWrV2vixImaOXOmy8/zlEuXLulf//VfNXfuXCUlJam0tLTGvmfOnNGf//xn/ed//qfT+3feeaf+5V/+paFLBQAAAAAATZCpVo41pHnz5iklJUWpqamSykKjKVOmqH///hoyZIjatGmjs2fP6quvvtLp06edxk6bNk1xcXE1zu3v768lS5Zo0qRJKi4uliRt27ZNY8eO1ahRoxQVFSWbzaajR4/qm2++kdVqlcVi0TPPPKOFCxe6VH9YWJhWrFihhx56yLjlct++fZo0aZJ69uypwYMHq2PHjgoICFBBQYFycnJ08OBBZWRkGCvU2rRp4/bvmyfYbDZt2rRJmzZtUkhIiKKjo9WrVy+FhYXJ399f+fn5OnTokL7//ntj62i5mJgY/eUvf/FK3QAAAAAAwPsIxzwkICBAq1at0qxZs5SUlGS8n5aWprS0tGrHWCwWzZw5U08++eQV54+OjtbKlSv12GOPqbCwUFLZqqmKWzPL+fj4aO7cuRo9erTL4ZhUdmtlQkKCZs+e7XReWXp6utLT06843p2Vag2lsLBQ3333nb777rsr9p00aZKeeeaZJlE3AAAAAADwDrZVelBwcLDi4+O1fPlyp22Qlfn5+SkuLk4JCQkuBWPlYmJitGnTJo0fP77G88b69++v+Ph4Pfroo27XL0kRERF6++239dprr2nYsGE1PqdcUFCQRo0apYULF+qzzz6r0zPro1WrVnr88cc1ePBgl0KuoKAgTZw4UevXr9cf//hHtWrVqhGqBAAAAAAATZXFUZ8r1VCrrKws7du3T2fPnlVxcbHCwsLUqVMnxcbGKiQkpF5znz9/Xrt27VJ2drbsdrsiIiLUt29fXX311R6qvkxRUZFSUlKUnZ2tvLw8lZaWKigoSB07dlRUVJR69+7t8qH9Da20tFQnTpzQyZMnlZ2draKiIpWWlqpNmzYKDQ1Vnz59dO2118rX19djz8zNzfXYXE2ZxWJR27ZtJUl5eXn1uokR4PMET+LzBE/i8wRP4vMET+LzBE9qCZ+n8PBwj85HOAbUA+EY4D4+T/AkPk/wJD5P8CQ+T/AkPk/wpJbwefJ0OMa2SgAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMy8/bBaDhZGZm6uabbzbazz//vO666y6v1PLKK6/o73//u9E+fPhwoz379OnT+uGHH5SVlaXi4mIFBgaqQ4cOioqKUt++fRUQENBotQAAAAAAgKal2YdjlQOgcsOHD9eaNWvcni8nJ0djxoyRzWZzen/YsGFau3ZtnetE47Lb7dq4caPWrFmjtLS0Gvv5+/tr8ODBmj59ukaNGtWIFQIAAAAAgKag2YdjNUlOTtbp06fVuXNnt8Zt3LixSjCG5iUzM1O/+93vtG/fviv2tVqtSk5O1nXXXUc4BgAAAACACbXYcMzhcGjDhg16/PHH3Rq3YcOGBqoIjeHIkSP67W9/qzNnzhjv+fj4aNCgQerTp4/at2+vS5cu6dSpU0pNTdXp06e9WC0AAAAAAPC2FheOtW7dWhcvXpQkt8Ox/fv368iRI5IkPz8/WSwWWa3WBqkTnnf+/HlNmzbNKRibOHGi5s2bp4iIiGrHHDhwQB999JFCQkIaq0wAgAfZbDadOHFCPXr08HYpAAAAaKZa3G2VY8aMka+vryTp+PHjSk1NdXnsxx9/bLweOXKkWrVq5eny0IAWLVqk7Oxsoz1//nwtW7asxmBMkvr166f//M//dHuFIQCgaXjyySfVq1cv/fa3v/V2KQAAAGimWlw41qFDB91www1G29VtklarVZ988onRvuOOOzxeGxrO119/7fTv795779WUKVO8WBEAeJ/DIRU5pPP2sv91OLxdkWclJyfrvffekyStXbtWycnJXq4IAAAAzVGLC8ck6c477zReb9q0yaWtkTt27FBubq4kKTQ0tNobMNF0rVy50ngdEhKi2bNne68YAPCyYof0VamPXrzsp79c8teSy/76yyV/vXjZT1+V+qi4hYRkS5curbUNAAAAuKLFnTkmSePGjVNISIgKCwuVm5urHTt2aNy4cbWOqbil8tZbb1VgYGC96zh9+rRSUlJ0/vx5FRUVKSwsTJ06dVJMTEy9z7jKzc3Vrl27lJ2dLbvdroiICPXt21e9e/eud90VZWVlKTU1VefOnVNBQYFCQ0MVERGhmJgYhYWFefRZdZWRkaGdO3ca7V/96ldq166dFysCAO85bLPo7RJfXZKlytfOOiz6xOqrL6w+mhRg07W+zTclS05OVmJiotN7W7duVXJysoYNG+alqgAAANActchwrFWrVho/frw+/PBDSdLGjRtrDcfy8vK0fft2o13fLZWbN2/W66+/rsOHD1f7dX9/f914442aPXu2oqOj3Zo7JydHixcv1hdffKHS0tIqXx84cKDmzp2rESNG1Kl2SSotLVVCQoJWr16to0ePVtvH19dXI0aM0FNPPaWBAwfW+VmesHnzZjkq7BX61a9+5cVqADR32XZvV1B3P9kt2mD1lb1CMNbDYldbHynPLp10lC0YvySLVpX46g5/myJ9ml9A1smn5lViS5cu1fr16xu5IgAAADRnLTIck8q2VpaHY9u2bVN+fn6NK50qbr3s3r27YmJi6vTMoqIiPfXUU/rqq69q7We1WrV9+3Z9+eWXmjlzpp544gmX5t+9e7cee+wxFRYW1tgnNTVVDz/8sObNm6fx48e7Vb9UtgrriSee0I8//lhrP5vNpqSkJH399deaPXu2Vw+037dvn1O7f//+3ikEQIuw/LK/t0vwiGgfu27ztymiwgEKOXabNlt9dcjuI7ss+sjaPL8NuPuHr6usGiuXmJjI6jEAAAC4pXl+V+yC2NhYde3aVadOnVJJSYk2b96s+++/v9q+FbdU1nXVWElJiaZOnVrldszo6GgNHTpUbdq00ZkzZ5SUlGTcqGi32/XSSy+puLhY8+bNq3X+gwcPavr06SoqKjLeCwwM1MiRI9WrVy/ZbDYdPXpU3377raxWq5YtW+b21tDDhw9r6tSpOn/+vPFecHCwYmJi1KtXLwUFBenChQtKTU3V999/L0lyOBxavny5SkpKNGvWLLee5yn79+83XoeFhemqq66SJP3888/6+OOPlZiYqMzMTBUVFSk8PFzdu3fXjTfeqIkTJ6pTp05eqRmoj8Lmt9DHiUWSr63sF1HYAg+Jbwqifex6KMAmn0o7KyN8pCkBNq0ukQ7Zm++xo89f4Wyx55cu1doPWD3WGEKq7t4FAABodlpsOGaxWDRx4kStWLFCUtmtldWFY8eOHXMKtCoe5u+OF1980WmeiIgILVmypMr2RrvdrjVr1mjZsmXGtsj4+HjFxsYqLi6u2rlLS0v17LPPOgVjcXFxWrx4sTp06ODUNzMzU08//bT27t2rJUuWuFx/YWGhZs2aZQRjgYGBmjFjhiZPnqzg4OAq/Q8cOKBnnnnGWGG2YsUKDR8+XMOHD3f5mZ5QUFCgn3/+2Wi3b99ekvTBBx9o8eLFKi4udupfXFysU6dOaefOnfr73/+u3/72t5o1a5Z8fX0btW6gPhZeagErmy6W/3nWYv8z5FW3+1cNxsr5WMq+fuhy8wzHcnbv0o4aVo2V25GYqBlJexUR07j/TTKjJa2vfOkRAABAU9c8vzN2UcWgKyUlRenp6VX6bNiwwXg9ZMgQde/e3e3nnDx5UmvXrjXaYWFhWr16dbXnfvn4+Gjq1KlatGiR8Z7D4dCiRYuczs2qKCEhQYcOHTLa119/vV599dUqwZgkdevWTfHx8YqOjlZJSYnLv4aXX35ZP/30k6SyM9HeeOMNTZ8+vdpgTJL69eunt956S5GRkZLKQr+XX37Z5ed5Sl5enlM7ODhYr7/+uv7whz9UCcYqu3z5sl5//XU98cQTbv1eAUBT1sNi11VX+K97hI/U3dI8D1fbu/wFj/YDAAAAWnQ4FhkZqUGDBhntikGYVBboVHyvrqvG1q1bJ7v9l79kzJkzR1FRUbWOufPOOzV27FijnZ6e7nQpQEXvvvuu8drf318LFy6Uv3/NK0eCg4O1cOFCF6svC5g++OADoz1t2jSXDvQPDQ3V/Pnzjfbu3bt15MgRl5/rCZXPXztx4oT+67/+S5IUEBCgRx99VBs2bNC+ffu0e/duvf3227rzzjtlsfyypGL79u1atmxZY5YNAA2mrYv/ZQ9vht8B5OzepcztX7jUN3P7F8rZvauBKwIAAEBL0Ay/NXZPxTPENm7c6LQ6a+fOncb5X4GBgbrtttvq9IytW7car8PCwnT33Xe7NO6RRx6pcZ5yWVlZSktLM9pxcXHq0aPHFeceMGCAhgwZ4lIdn3/+ubHKysfHR5MnT3ZpnCSNGjXK6aKDXbsa9y8iFbeaSmVhmcPhUEhIiNatW6d58+apb9++at26tdq0aaOhQ4dqyZIlWrZsmXx8fvn4r1mzRgcOHGjU2gGgIeS5uCAstxkuHHN3NRirxwAAAOCKFn/Yy4QJE7R48WJZrVZlZGRoz549xm2UFQ/iHzNmjEJDQ92e/+zZs8rMzDTaI0eOVEBAgEtjY2Ji1K5dO+Ocr5SUlCp9Kt/EOHr0aJdrGzt2rPbu3XvFfsnJycbryMhIdezY0eVn+Pj4qFu3bsrPz5dUdnFAY6rp9/oPf/iDrrvuuhrH/du//Zt++OEHrV692njvH//4h/7f//t/Hq8R8LTnWjXvM34sFovCQstC9fwL+TVuKfeW5n6m20mHj3LszrdUVpZjlzIczevnY+6sGiuXuf0L3f7D1xoay82VAAAAqFmLD8fCwsI0ZswYff7555LKArGYmBgVFRVpy5YtRr+6bqk8ceKEUzs6Otqt8f369VNSUpIxl8PhcNryd/z4caf+ffv2dXluV2upuGLq+PHj6tevn8vPkCSbzWa8rnwGWEOr7ky0rl27unTr6PTp0/X222/Lai0LGr788kvZ7XanFWVAU9Tcb4ezWKQ2vmW/CJtFalrRWMuw2eqrKdXcVilJdkfZ15ubuq4Ce2XpUq1fz82VAAAAqFmLD8eksq2V5eHYp59+queee85pK2H79u01atSoOs1dvmKqnDurrir3t9lsKioqUkhISI3zl9/G6IrqDuyvTm5urlO7YtjlroKCgjqPrYvqwrG4uDiXAq4OHTpo4MCB2rNnjyTpwoULOnr0qK655hqP1wmg+ZgT2DxX5l1ySP9T4qfLsuiQ3UerS8pupay4gizHXhaMHbKXvRkohx4OKFWrJh647vsuWSvdXDVWLjExUcnJyRo2jNVjAAAAqJ4pwrG4uDiFh4crNzdXBQUF2rp1qz766CPj6xMmTJCfX91+KyqfedW6dWu3xgcFBVWZr2I4VvnGRXfmd7WvJwOtxt4e1b59e/n7+xurvySpT58+Lo+/5pprjHBMknJycgjHAJPr1IwXj04OsGlVia/s/xeQHbrso+4Wu8J9ys4Yq7iV0kcOTQ6wKbIZLCKLX7a0XuOXsnoMAAAAtTBFOObv768JEyZo3bp1kqT4+HinrYR13VIpVV25dPHiRbfGVw6/Ks9XOTy7ePGiwsPDXZrb1VpatWplhEvXXXed3n//fZfGNQX+/v7q0aOHjh07ZrxX8YKAK6nct/JKPQBoTq71dWhqgE1vl/jqksqWg2U4fJRRaUFwKzk0KcCma32b/qbW5ORkJSYm1msOVo8BAACgNs345+PuqXgGVVpamrHCqU+fPurfv3+d560crpw5c8at8RX7+/r6VgnHKs9/7tw5l+c+e/asS/0qhm2Vt1g2B1dffbVTu6SkxOWxlfsGBgZ6pCYA8JZrfR16plWp/tXfpg4W5/Crg8Whf/W36ZlWpc0iGJPKVn01pXkAAADQ8pgmHBs4cKB69+5d5X1XDm6vTVRUlFPb3dsaK/aPiopyOoxfknr16uXUPnTokMtzu9q34u9LZmZms1s9VXklQE5Ojstjs7OzndqursoDgKYsyCKN8rNrXmCpFrSy6plAqxa0smpeYKlG+dkV1MTPGCuXlZVV71Vj5RITE5WVleWRuQAAANCymCYck6oGYT4+Ppo4cWK95uzQoYO6d+9utJOSklxeubRnzx6nlWCDBw+u0mfQoEFO7R07drhcm6t/oRgxYoTx2m63e+wvIo1l3LhxTqHi3r17XRrncDi0b98+o+3r6+vWbaAA0NRZLFKwRWrnU/a/lmYSipULCQlR586dPTJX586dnc70BAAAAMqZ4syxcnfffbfTtrnw8HBFRETUe96bb75Zq1atklR2ZtWHH36o+++//4rj3nzzTaf2LbfcUqVPly5d1K9fP+OMtO3btysjI8MpkKvO/v37XQ6Jxo8fr2XLlhnnjr3xxhu6/fbbm80Ww06dOmnIkCHGwfpff/21srOz1alTp1rHJSUlOa0iGDhwIH9xAoAmJDQ0VN99953TcQiVWSwWtWnTRlLZBTPV9bNYLOrfv3+VczwBAAAAyWThWIcOHTR16lSPzzt58mStWbNGdrtdkrR8+XKNGDFCkZGRNY7ZuHGjtmzZYrQjIyN10003Vdv3vvvu04IFCyRJVqtVCxYs0MqVK2u8YbO4uFgLFixw+ebITp066Z577tE777wjSTpx4oSeffZZLV26VP7+/i7N4XA4tHPnTqdVaI1p5syZxr/b0tJS/elPf9Jrr70mH5/qF0cWFRVp0aJFTu89+OCDDV0mAMBNQUFBio2NrfHrFotFbdu2lSTl5eU1+q3JAAAAaP5Mta2yofTo0cMpWMnPz9eUKVO0c+fOKn3tdrvWrl2r+fPnO70/f/78KueNlbvrrrt07bXXGu1vvvlGM2bMqPZw/lOnTunRRx9VWlqaAgICXP41zJkzRz179jTamzdv1gMPPGCsxqpJdna2Vq9erYkTJ2rmzJkuP8/TRowYodGjRxvtbdu26Xe/+53y8vKq9D158qR++9vf6sSJE8Z7AwYM0G233dYIlQIAAAAAgKbEVCvHGtK8efOUkpKi1NRUSWWh0ZQpU9S/f38NGTJEbdq00dmzZ/XVV1/p9OnTTmOnTZumuLi4Guf29/fXkiVLNGnSJBUXF0sqC3/Gjh2rUaNGKSoqSjabTUePHtU333wjq9Uqi8WiZ555RgsXLnSp/rCwMK1YsUIPPfSQccvlvn37NGnSJPXs2VODBw9Wx44dFRAQoIKCAuXk5OjgwYPKyMgwfkpfvq3FW5YsWaL77rvPCL02b96sHTt2aNSoUYqMjJTVatWPP/6onTt3GltIJaldu3Z6+eWXa1xlBgAAAAAAWi7CMQ8JCAjQqlWrNGvWLCUlJRnvp6WlKS0trdoxFotFM2fO1JNPPnnF+aOjo7Vy5Uo99thjKiwslCRdunTJaWtmOR8fH82dO1ejR492ORyTym6tTEhI0OzZs53OK0tPT1d6evoVx7uzUq0htG3bVvHx8Zo1a5bxe15UVKRPP/20xjG9evXSG2+8oS5dujRWmQAAAAAAoAlhqYwHBQcHKz4+XsuXL3faBlmZn5+f4uLilJCQ4FIwVi4mJkabNm3S+PHjazxvrH///oqPj9ejjz7qdv2SFBERobfffluvvfaahg0bVuNzygUFBWnUqFFauHChPvvsszo905O6deum9957T3PnzlXXrl1r7HfVVVfp6aef1kcffaQePXo0YoUAAAAAAKApsTg4ubbBZGVlad++fTp79qyKi4sVFhamTp06KTY2tt63Ip4/f167du1Sdna27Ha7IiIi1LdvX1199dUeqr5MUVGRUlJSlJ2drby8PJWWliooKEgdO3ZUVFSUevfu7fKh/Y3N4XDohx9+0IkTJ3TmzBlZLBa1a9dO0dHR6tu3r0eekZub65F5mjoOvIYn8XmCJ/F5gifxeYIn8XmCJ/F5gie1hM9TeHi4R+cjHAPqgXAMcB+fJ3gSnyd4Ep8neBKfJ3gSnyd4Ukv4PHk6HGNbJQAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTjWgmVmZuraa681/klISPBaLa+88opTLQAAAAAAAE2Bn7cLqK/MzEzdfPPNVd4fPny41qxZ4/Z8OTk5GjNmjGw2m9P7w4YN09q1a+tcJxrOgw8+qOTk5HrPM2PGDM2cOdMDFQEAAAAAgOaixa4cS05O1unTp90et3HjxirBGMwhKCjI2yUAAAAAAIBG1mLDMYfDoQ0bNrg9ri5j4F0+Pj7y9fV1+5+KLBaLfvWrX3npVwAAAAAAALyl2W+rrKx169a6ePGipLKg6/HHH3d57P79+3XkyBFJkp+fnywWi6xWa4PUCc9ZvXq122O2bNmiGTNmGO2YmBh1797dk2UBaCZsNpsyMzPVrVu3KsE5AAAAgJavxa0cGzNmjPGXm+PHjys1NdXlsR9//LHxeuTIkWrVqpWny0MTUflygl//+tdeqgSAt82YMUODBw92CswBAAAAmEeLC8c6dOigG264wWi7uk3SarXqk08+Mdp33HGHx2tD03D+/Hl99dVXRjsoKEi33nqrFysC4C3Jycl67733JEnvvfeeRy73aMocDocc9nzZ7dly2PPlcDi8XRIAAADgdS0uHJOkO++803i9adMml7ZG7tixQ7m5uZKk0NDQam/ARMvwz3/+0+kz8atf/UrBwcFerAiAtyxdurTWdkvhcBSotCRBJUXTdLno31VSNOX//neaSksS5HAUeLtEAAAAwGta3JljkjRu3DiFhISosLBQubm52rFjh8aNG1frmIpbKm+99VYFBgbWu47Tp08rJSVF58+fV1FRkcLCwtSpUyfFxMQoJCSkXnPn5uZq165dys7Olt1uV0REhPr27avevXvXu+6KsrKylJqaqnPnzqmgoEChoaGKiIhQTEyMwsLCPPqsxvLRRx85tdlSCZhTcnKyEhMTnd5LTExUcnKyhg0b5qWqPM9W+p2sF5+XVFTlaw5Hpkovv6HSy+vk33q+fP1iGr9AAAAAwMtaZDjWqlUrjR8/Xh9++KEkaePGjbWGY3l5edq+fbvRru+Wys2bN+v111/X4cOHq/26v7+/brzxRs2ePVvR0dFuzZ2Tk6PFixfriy++UGlpaZWvDxw4UHPnztWIESPqVLsklZaWKiEhQatXr9bRo0er7ePr66sRI0boqaee0sCBA+v8rMZ26NAhHTx40Gh37dpVw4cP92JFALylplViS5cu1fr162scZ7f91EAVeZ7dtl+ll1+VZDfes/hEy+JzlRz2n+Wwl/95WCTrxefkCJwhH9/+XqnVFT6+kd4uAQAAAC1QiwzHpLKtleXh2LZt25Sfn1/jSqeKWy+7d++umJi6/eS8qKhITz31lNN5VtWxWq3avn27vvzyS82cOVNPPPGES/Pv3r1bjz32mAoLC2vsk5qaqocffljz5s3T+PHj3apfkjIyMvTEE0/oxx9/rLWfzWZTUlKSvv76a82ePdutW0G9qeIKQaksCLVYLN4pBoDXVLdqrNyVVo+VFD/WkKU1GB/f4fILnCYf3x7Ge3bbSZVeXim7LVmSXaWXX/ZegS5o1eYzb5cAAACAFqjFhmOxsbHq2rWrTp06pZKSEm3evFn3339/tX0rBiZ1XTVWUlKiqVOnVrkdMzo6WkOHDlWbNm105swZJSUlKTs7W5Jkt9v10ksvqbi4WPPmzat1/oMHD2r69OkqKvplW0xgYKBGjhypXr16yWaz6ejRo/r2229ltVq1bNkyt7eGHj58WFOnTtX58+eN94KDgxUTE6NevXopKChIFy5cUGpqqr7//ntJZYc7L1++XCUlJZo1a5Zbz2tspaWl+uc//2m0LRYLWyrR7Dnsed4uwX0Wi2y2soPgvXUo/NKli6/49Q/eX9U4xTQCH9/h8m/9R1ksvpXe7yH/1n+S9eKf/i8ga9qq/bw3gc9TU2fxaevtEgAAAJq0FhuOWSwWTZw4UStWrJBUdmtldeHYsWPHnAKtiof5u+PFF190miciIkJLliypsr3RbrdrzZo1WrZsmbEtMj4+XrGxsYqLi6t27tLSUj377LNOwVhcXJwWL16sDh06OPXNzMzU008/rb1792rJkiUu119YWKhZs2YZwVhgYKBmzJihyZMnV3tY/YEDB/TMM88YK8xWrFih4cOHN+ktil999ZXOnj1rtIcOHaoePXrUMgJo+i4X3evtEurkUs0LYBvc7j2FSkw8WGufxMQv9fWXExQztH7nQzYVfoHTqgRj5SwWX/kFPqqS4qYfjtX0effm56k5YMUdAABA7VrkbZXlKgZdKSkpSk9Pr9Jnw4YNxushQ4aoe/fubj/n5MmTWrt2rdEOCwvT6tWrqz33y8fHR1OnTtWiRYuM9xwOhxYtWlTjT7sTEhJ06NAho3399dfr1VdfrRKMSVK3bt0UHx+v6OholZSUuPxrePnll/XTTz9JKjsT7Y033tD06dNrvMWxX79+euuttxQZGSmpLPR7+eWmvR2Hg/gBSNLfXjrl0X5NncUn2mkrZXV8fHvI4tO3kSoCAAAAmpYWHY5FRkZq0KBBRrtiECaVBToV36vrqrF169bJbv/lsOM5c+YoKiqq1jF33nmnxo4da7TT09OdLgWo6N133zVe+/v7a+HChfL3969x7uDgYC1cuNDF6ssuJPjggw+M9rRp01w60D80NFTz58832rt379aRI0dcfm5jysvL07Zt24x269atdeutt3qxIgDesHtPobbvuOBS3+07Lmj3nua/JMnic5VH+wEAAAAtTYsOxyTnM8Q2btzotDpr586dxvlfgYGBuu222+r0jK1btxqvw8LCdPfdd7s07pFHHqlxnnJZWVlKS0sz2nFxcS5tBRwwYICGDBniUh2ff/65iouLJZWtbJs8ebJL4yRp1KhRThcd7Nq1y+WxjWnTpk1OK+l+9atfKSSkZWyXAuA6d1eDtYTVYw77zx7tBwAAALQ0LfbMsXITJkzQ4sWLZbValZGRoT179hi3UVY8iH/MmDEKDQ11e/6zZ88qMzPTaI8cOVIBAQEujY2JiVG7du2Mc75SUlKq9Nm3b59Te/To0S7XNnbsWO3du/eK/ZKTfzlnJjIyUh07dnT5GT4+PurWrZvy8/MllV0c0BRVvqWSLZVoKQKD3/N2CW6zWCwK/b9Q/UJ+4x2g/t13e7V9xz1ujdm+44JSDzyj2NhfftjQ3M55c9gPym47WevWSrvtpBz2QzV+vamo7vPurc8TAAAAWo4WH46FhYVpzJgx+vzzzyWVhSQxMTEqKirSli1bjH513VJ54sQJp3Z0dLRb4/v166ekpCRjLofDIYvFYnz9+PHjTv379nX9TBhXazlw4IDT8/r16+fyMyTJZrMZr/Py8twa2xgqX7rQtWtXXX/99V6sCPCc5ngLncVika9v27LXPhapkcKMpcteq/O49evXe7iaxlV6eaX8W/+p2kP5HQ6bSi+v9EJV7qvu8+6tzxMAAABajhYfjkllWyvLw7FPP/1Uzz33nNNWwvbt22vUqFF1mrt8xVQ5d1ZdVe5vs9lUVFTktN2v8vzt27d3ee7qDuyvTm5urlO7YtjlroKCgjqPbSiVD+K/4447nAJIAC1fcnKyEhMT6zQ2MTFRycnJGjZsmCQpIOgNT5bWYByOIlkv/qeki7LbkmW9+Cf5BT7qtILMbjup0ssrZbeVryBuLf/Wi2SxVH8ZCwAAANASmSIci4uLU3h4uHJzc1VQUKCtW7c6BSYTJkyQn1/dfiuKioqc2q1bt3ZrfFBQUJX5KoZj5QFeXeZ3ta8nA62mtp3Fbrdr48aNTu+xpRIwn6VLl9Z7fPnqMR/fSA9U1Eha/0HWiwsk2WS3JaukOFkWn76y+Fwlh/3nSlspfeXf+g/y9evvrWoBAAAArzBFOObv768JEyZo3bp1kqT4+HinrYR13VIpld0MWdHFixfdGl85/Ko8X+Xw7OLFiwoPD3dpbldradWqlaxWqyTpuuuu0/vvv+/SuObg66+/Vk5OjtEeOnSoSxcaAGg56rNqrFzl1WPNha9fjNT6L7JeXCyp7Ic5Dvuhas4XC5Z/6/ll/QEAAACTafG3VZareGtlWlqascKpT58+6t+/7j8lr3hToySdOXPGrfEV+/v6+lYJxyrPf+7cOZfnPnv2rEv9KoZtlbdYNnccxA+gvqvGPD1PY/P1i1FgyGr5BT4mi6Wb09cslm7yC3xMgSGrCcYAAABgWqZYOSZJAwcOVO/evXXs2DGn9yuGZnURFRXl1Hb3tsaK/aOioqqchdWrVy+n9qFDhzRgwACX5j50yLWbx3r37q2TJ09KkjIzM5Wfn18llGuOCgsL9cUXXxjt1q1b67bbbvNiRQAaW1ZWVr1XjZVLTExUVlaWunTp4pH5GpPF0kZ+AXfJ1//XkgrkcBTLYgmS1IYzGAEAAGB6plk5JlUNwnx8fDRx4sR6zdmhQwd1797daCclJamkpMSlsXv27HFaCTZ48OAqfQYNGuTU3rFjh8u1ufoXwhEjRhiv7Xa7x/4i6W2bN2/WpUuXjPYtt9zidJ4bgJYvJCREnTt39shcnTt3bvZ/hlgsFlksofLx6SSLJZRgDAAAAJCJVo5J0t13363AwECjHR4eroiIiHrPe/PNN2vVqlWSym6X/PDDD3X//fdfcdybb77p1L7llluq9OnSpYv69etnnJG2fft2ZWRkOAVy1dm/f7/27t3rUv3jx4/XsmXLjHPH3njjDd1+++1Ov1fNUeVbKu+66y4vVQLAW0JDQ/Xdd985baevC4vFov79+1c5BxIAAABA82eqcKxDhw6aOnWqx+edPHmy1qxZI7vdLklavny5RowYocjIyBrHbNy4UVu2bDHakZGRuummm6rte99992nBggWSJKvVqgULFmjlypU13rBZXFysBQsWuPwXwU6dOumee+7RO++8I0k6ceKEnn32WS1dulT+/v4uzeFwOLRz506nVWjelJ6e7hQOdunSRddff70XKwLgLUFBQYqNjfV2GQAAAACaKFNtq2woPXr00IMPPmi08/PzNWXKFO3cubNKX7vdrrVr12r+/PlO78+fP7/G7S133XWXrr32WqP9zTffaMaMGdUezn/q1Ck9+uijSktLU0BAgMu/hjlz5qhnz55Ge/PmzXrggQe0Z8+eWsdlZ2dr9erVmjhxombOnOny8xpa5VVjd9xxB9uHAAAAAABAFaZaOdaQ5s2bp5SUFKWmpkoqC42mTJmi/v37a8iQIWrTpo3Onj2rr776SqdPn3YaO23aNMXFxdU4t7+/v5YsWaJJkyapuLhYkrRt2zaNHTtWo0aNUlRUlGw2m44ePapvvvlGVqtVFotFzzzzjBYuXOhS/WFhYVqxYoUeeugh45bLffv2adKkSerZs6cGDx6sjh07KiAgQAUFBcrJydHBgweVkZFhrFBr06aN279vDcHhcGjjxo1O77GlEgAAAAAAVIdwzEMCAgK0atUqzZo1S0lJScb7aWlpSktLq3aMxWLRzJkz9eSTT15x/ujoaK1cuVKPPfaYCgsLJUmXLl1y2ppZzsfHR3PnztXo0aNdDsekslsrExISNHv2bKctienp6UpPT7/ieHdWqjWkXbt26dSpU0Z76NCh6tGjhxcrAgAAAAAATRXbKj0oODhY8fHxWr58udM2yMr8/PwUFxenhIQEl4KxcjExMdq0aZPGjx9f43lj/fv3V3x8vB599FG365ekiIgIvf3223rttdc0bNiwGp9TLigoSKNGjdLChQv12Wef1emZnvbxxx87tX/96197pxAAAAAAANDkWRz1ub4LtcrKytK+fft09uxZFRcXKywsTJ06dVJsbKxCQkLqNff58+e1a9cuZWdny263KyIiQn379tXVV1/toerLFBUVKSUlRdnZ2crLy1NpaamCgoLUsWNHRUVFqXfv3i4f2t8S5ebmeruERmGxWNS2bVtJUl5eXr1u/QP4PMGT+DzBk/g8wZP4PMGT+DzBk1rC5yk8PNyj87GtsgF16dJFXbp0aZC527Vrp9tuu61B5q4oODhYI0eObPDnAAAAAAAAeAPbKgEAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLT9vF4CGk5mZqZtvvtloP//887rrrru8Ussrr7yiv//970b78OHDDfo8q9WqH3/8UYcPH1Z+fr4uXbqkkJAQXXXVVfqXf/kXde3atUGfDwAAAAAAmodmH45VDoDKDR8+XGvWrHF7vpycHI0ZM0Y2m83p/WHDhmnt2rV1rhONIycnRytXrtSGDRt04cKFGvv16dNHkyZN0r333itfX99GrBAAAAAAADQlLXZbZXJysk6fPu32uI0bN1YJxtA8fPHFF/rXf/1XrV27ttZgTJKOHDmiP//5z7rvvvv0888/N1KFAAAAAACgqWn2K8dq4nA4tGHDBj3++ONujduwYUMDVYSGlJSUpNmzZ8tqtRrv+fn56frrr9c111yj1q1bKzc3VykpKTp48KDRJzU1VVOnTtX777+vkJAQb5QOAAAAAAC8qMWFY61bt9bFixclye1wbP/+/Tpy5IiksmDFYrE4hS1omi5duqQFCxY4/buKjY3V0qVL1aVLlyr9v/32Wz399NM6c+aMJOnYsWN65ZVX9Pvf/77RagaAlsRmsykzM1PdunVjqzoAAACanRa3rXLMmDHGN+bHjx9Xamqqy2M//vhj4/XIkSPVqlUrT5eHBpCYmKhTp04Z7cjISP33f/93tcGYJI0YMULx8fHy8/slG16/fr1KSkoavFYAaIlmzJihwYMHa8aMGd4uBQAAAHBbiwvHOnTooBtuuMFou7pN0mq16pNPPjHad9xxh8drQ8P49ttvndpTp05VUFBQrWP69u2rcePGGe3CwkL98MMPDVIfALjL4XAo11akTOt55dqK5HA4vF1SjZKTk/Xee+9Jkt577z0lJyd7uSIAAADAPS0uHJOkO++803i9adMml7ZG7tixQ7m5uZKk0NDQam/ARNOUk5Pj1B40aJBL4wYPHuzU5mB+AN52wXZRa/O/1sRTLynu5PO6PfNvijv5vCaeeklr87/WBdtFb5dYxdKlS2ttAwAAAE1diztzTJLGjRunkJAQFRYWKjc3Vzt27HBaJVSdilsqb731VgUGBta7jtOnTyslJUXnz59XUVGRwsLC1KlTJ8XExNT78Pfc3Fzt2rVL2dnZstvtioiIUN++fdW7d+96111RVlaWUlNTde7cORUUFCg0NFQRERGKiYlRWFiYR59VV3a73ant6nbYyv0sFovHagIAdyUV/6hnzryvAvulKl9Lt57VsvP/q9fztmlpx3t1Y1AfL1RYVXJyshITE53eS0xMVHJysoYNG+alqgAAAAD3tMhwrFWrVho/frw+/PBDSdLGjRtrDcfy8vK0fft2o13fLZWbN2/W66+/rsOHD1f7dX9/f914442aPXu2oqOj3Zo7JydHixcv1hdffKHS0tIqXx84cKDmzp2rESNG1Kl2SSotLVVCQoJWr16to0ePVtvH19dXI0aM0FNPPaWBAwfW+Vme0K1bN6d2VlaWoqKirjiu4jllktSjRw+P1gWgaTpaknPlTo1s76V0PX/uE9n0S9g/MLC7uvi1VVZpnlIvZ0iSCuyXNCNnrea3/1cNbtXTW+Ua/rTkr9W+v3TpUq1fv76RqwEAAADqpkWGY1LZ1srycGzbtm3Kz8+vcaVTxa2X3bt3V0xMTJ2eWVRUpKeeekpfffVVrf2sVqu2b9+uL7/8UjNnztQTTzzh0vy7d+/WY489psLCwhr7pKam6uGHH9a8efM0fvx4t+qXpIyMDD3xxBP68ccfa+1ns9mUlJSkr7/+WrNnz3brVlBPGzVqlN555x2jvXnzZt144421jiktLdVnn31mtDt37qy+ffs2WI0Amo67Tr3i7RJqdVPrazW33Xj1CrjKeO94yc/62/nP9OXFw7LJroXnNnqxwjKXU7N1ZltStV9j9RgAAACakxYbjsXGxqpr1646deqUSkpKtHnzZt1///3V9q24pbKuq8ZKSko0derUKrdjRkdHa+jQoWrTpo3OnDmjpKQkZWdnSyrbDvjSSy+puLhY8+bNq3X+gwcPavr06SoqKjLeCwwM1MiRI9WrVy/ZbDYdPXpU3377raxWq5YtW+b21tDDhw9r6tSpOn/+vPFecHCwYmJi1KtXLwUFBenChQtKTU3V999/L6ns0Ojly5erpKREs2bNcut5njJ69Ghde+21xkq9jz76SGPGjKlxtaDD4dALL7yg9PR0470nn3xSPj4t8gg+NEPnbUVX7tSMWSwW2axltwrnN/HD5hvbTa2v1UsRk+Vrcf7zqFfAVXopYrKeynlLX16sflVyY7vw39/V+vVFS57Xm++va/A6mvvnqZ1vsLdLAAAAML0WG45ZLBZNnDhRK1askFR2a2V14dixY8ecAq2Kh/m748UXX3SaJyIiQkuWLKmyvdFut2vNmjVatmyZsS0yPj5esbGxiouLq3bu0tJSPfvss07BWFxcnBYvXqwOHTo49c3MzNTTTz+tvXv3asmSJS7XX1hYqFmzZhnBWGBgoGbMmKHJkycrOLjqN+4HDhzQM888Y6wwW7FihYYPH67hw4e7/ExP8fX11fLlyzVp0iTl5eXJZrNp5syZ+s1vfqO77rpL11xzjVq3bq3c3FylpKRo1apVTrep/eY3v9FvfvObRq8bqMnok897uwR4ye/a3VolGCvna/HR3Hbj9eUp74djl1OzdfnbjFr7fLVth0Z88pQCB3ZqpKqap9So6remAgAAoPG06KUyFYOulJQUp5VC5TZs2GC8HjJkiLp37+72c06ePKm1a9ca7bCwMK1evbrac798fHw0depULVq0yHjP4XBo0aJFNf60OyEhQYcOHTLa119/vV599dUqwZhUdv5WfHy8oqOjVVJS4vKv4eWXX9ZPP/0kqexMtDfeeEPTp0+vNhiTpH79+umtt95SZGSkpLLQ7+WXX3b5eZ7Wu3dvffDBB8YWHrvdrvfee0/33nuvBg8erL59+2rEiBF64oknjGCsffv2+tOf/qS//pW/mADwvoGB3RUV0LHWPr0CrtKAwG619mkMV1o15m4/AAAAwJtadDgWGRmpQYMGGe2KQZhUFqBUfK+uq8bWrVvndGPinDlzrngg/J133qmxY8ca7fT0dKdLASp69913jdf+/v5auHCh/P39a5w7ODhYCxcudLH6sgsJPvjgA6M9bdo0lw70Dw0N1fz584327t27deTIEZef62k9evTQ2rVr9fzzz1/xJs1+/fppxYoVNW61BYDG1sWvrUf7NRRXVo0Zfb/N0OXU7AauCAAAAKifFh2OSc5niG3cuNFpddbOnTuN878CAwN122231ekZW7duNV6HhYXp7rvvdmncI488UuM85bKyspSWlma04+LiXLpVccCAARoyZIhLdXz++ecqLi6WVLaybfLkyS6Nk8oOw68YRO3atcvlsZ527NgxPfzww/r973+v/Pz8WvseOHBA//7v/67p06cbnwEA8Kas0jyP9mso7q4GY/UYAAAAmroWe+ZYuQkTJmjx4sWyWq3KyMjQnj17jNsoKx7EP2bMGIWGhro9/9mzZ5WZmWm0R44cqYCAAJfGxsTEqF27dsY5XykpKVX67Nu3z6k9evRol2sbO3as9u7de8V+Fc/fioyMVMeOtW/rqcjHx0fdunUzwqiDBw+6PNaTvv76az355JO6ePGipLIVdr/5zW80YcIE48yxvLw8paam6t1339WXX34pSdqxY4d+/etfa926derdu7dXagcq297j994uoUFZLBaF/d+ft/kXLjT6AepN9Uy31MsZOl7ys9MtlZUdL/lZP1zOrPHrDc2dVWPGmG8z9LecX2lI7NAGqcnbnycAAAA0fy0+HAsLC9OYMWP0+eefSyoLxGJiYlRUVKQtW7YY/eq6pfLEiRNO7ejoaLfG9+vXT0lJScZcDodDFovF+Prx48ed+vft29fluV2t5cCBA07P69evn8vPkCSbzWa8zsvLc2usJ5w8eVIzZswwgrHQ0FDFx8fruuuuc+rXsWNH3Xzzzbr55pv1zjvv6E9/+pMk6fz58/qP//gPbdiwQa1bt27s8oEqWvrtdRaLRW3920iSfH1thBkV/O38Z9XeVilJNoddfzv/mReq+kVdV4G9/uLLWr9+vYerKcPnCQAAAPXV4sMxqWxrZXk49umnn+q5555z2krYvn17jRo1qk5zV96+586qq8r9bTabioqKFBISUuP87du3d3nu6g7sr05ubq5Tu2LY5a6CgoI6j62rF1980fh3KUl/+ctfqgRjld1///06fPiw3nnnHUllZ769/fbbVba6Amh5ErrO9HYJTgrtl/R49moVO0r05cXDeirnLc1tN95pBdnxkp/1t/Of6cuLZTdVBlkC9HqnKQrxadVodabuTtG0b1+r09jExEQlJycbl6YAAAAATYkpwrG4uDiFh4crNzdXBQUF2rp1qz766CPj6xMmTJCfX91+K4qKipza7q48CgoKqjJfxXCsYujj7vyu9vVkoNXYP7EvKCjQF198YbR79OihW2+91aWx06dPN8IxqezCBsIxoOW7OiDC2yVU8f+uul8zc9aqVHZ9efGwvjx1WAMCu6mLX1tlleY5baX0k4/+31X3a1Crno1a47N/i6/X+KVLlzbY6jEAAACgPkwRjvn7+2vChAlat26dJCk+Pt5pK2Fdt1RKZTdDVlS+tc9VlcOvyvNVDs8uXryo8PBwl+Z2tZZWrVrJarVKkq677jq9//77Lo1rCn744QenlW6xsbFO21Jr06VLF3Xr1s04M+7IkSO6fPmyAgMDG6RWAKjJjUF99ErEg/r/zrynAvslSdIPlzOrnC/WxqeVlna8VzcG9WnU+pKTk5WYmFivOVg9BgAAgKaqxd9WWa7irZVpaWnGCqc+ffqof//+dZ634k2NknTmzBm3xlfs7+vrWyUcqzz/uXPnXJ777NmzLvWrGLZV3mLZ1FX+/ajPtla73e6VM9MAQCoLyP632+/0dLvb1dPfeVt8T/8Oerrd7frfbr9r9GBMKlv11ZTmAQAAADzJFCvHJGngwIHq3bu3jh075vR+xdCsLqKiopza7t7WWLF/VFRUlVVPvXr1cmofOnRIAwYMcGnuQ4cOudSvd+/eOnnypCQpMzNT+fn5VUK5pqryKq9Lly65Nb7y6rrKK/UAoDGF+rbWg2E36IHQEcq3X1Sh/ZJCfFopzKe1y6tiPS0rK6veq8bKJSYmKisrS126dPHIfAAAAIAnmGblmFQ1CPPx8dHEiRPrNWeHDh3UvXt3o52UlKSSkhKXxu7Zs8dp5dPgwYOr9Bk0aJBTe8eOHS7X5upfZkaMGGG8ttvtHvtLUGNo166dU7ty+Fkbq9VqhIKSFBAQoDZt2nisNgCoK4vFora+Qerm305tfYO8FoxJUkhIiDp37uyRuTp37ux0riYAAADQFJhm5Zgk3X333U4rjcLDwxURUf+DmW+++WatWrVKUtntkh9++KHuv//+K4578803ndq33HJLlT5dunRRv379jDPStm/froyMDKdArjr79+/X3r17Xap//PjxWrZsmXHu2BtvvKHbb7+9WZy9FR0dLX9/f6P25ORknTlzxqXtlVu3bnU6861yEAkAkEJDQ/Xdd985HUlQFxaLRf3792eFLgAAAJocU4VjHTp00NSpUz0+7+TJk7VmzRrZ7XZJ0vLlyzVixAhFRkbWOGbjxo3asmWL0Y6MjNRNN91Ubd/77rtPCxYskFS22mnBggVauXJljTdsFhcXa8GCBS7/JaZTp0665557jJsbT5w4oWeffVZLly6Vv7+/S3M4HA7t3LnTaRVaYwgODtbw4cOVlJQkSbp8+bL++te/6qWXXqp1XG5ubpWzb8aOHdtgdQJAcxYUFKTY2FhvlwEAAAA0CFNtq2woPXr00IMPPmi08/PzNWXKFO3cubNKX7vdrrVr12r+/PlO78+fP7/GbTN33XWXrr32WqP9zTffaMaMGdUezn/q1Ck9+uijSktLU0BAgMu/hjlz5qhnz55Ge/PmzXrggQe0Z8+eWsdlZ2dr9erVmjhxombOnOny8zzpySefdGp/+umnmjVrVo2XI6SmpmrSpEk6deqU8V6HDh107733NmidAAAAAACg6THVyrGGNG/ePKWkpCg1NVVSWWg0ZcoU9e/fX0OGDFGbNm109uxZffXVVzp9+rTT2GnTpikuLq7Guf39/bVkyRJNmjTJ2Aa4bds2jR07VqNGjVJUVJRsNpuOHj2qb775RlarVRaLRc8884wWLlzoUv1hYWFasWKFHnroIeOWy3379mnSpEnq2bOnBg8erI4dOyogIEAFBQXKycnRwYMHlZGRYaxQ89Z5XUOGDNHjjz+u119/3Xjvs88+07Zt2zRs2DBdc801CgoKUl5enlJSUpSWluY03t/fXy+++CJbfQAAAAAAMCHCMQ8JCAjQqlWrNGvWLGOLnySlpaVVCWPKWSwWzZw5s8rKp+pER0dr5cqVeuyxx1RYWCip7GbGilszy/n4+Gju3LkaPXq0y+GYVHZrZUJCgmbPnu10Xll6errS09OvON6dlWqeNmfOHPn5+WnFihWy2WySpJKSEiUlJTn9+6isXbt2euGFFxp9OygAAAAAAGga2FbpQcHBwYqPj9fy5cudtkFW5ufnp7i4OCUkJLgUjJWLiYnRpk2bNH78+BrPG+vfv7/i4+P16KOPul2/JEVEROjtt9/Wa6+9pmHDhtX4nHJBQUEaNWqUFi5cqM8++6xOz/SUmTNnav369Zo4ceIVLxNo3769HnvsMX3yySe1rtoDAAAAAAAtm8VRn6unUKusrCzt27dPZ8+eVXFxscLCwtSpUyfFxsbW+yr78+fPa9euXcrOzpbdbldERIT69u2rq6++2kPVlykqKlJKSoqys7OVl5en0tJSBQUFqWPHjoqKilLv3r1dPrS/MZWUlOjAgQM6duyYLly4oEuXLik4OFjh4eHq16+fevXqVeMZb+7Izc31QLVNn8ViUdu2bSVJeXl59bqxDuDzBE/i8wRP4vMET+LzBE/i8wRPagmfp/DwcI/ORzgG1APhGOA+Pk/wJD5P8CQ+T/AkPk/wJD5P8KSW8HnydDjGtkoAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATMvP2wWg4WRmZurmm2822s8//7zuuusur9Tyyiuv6O9//7vRPnz4cIM+z263a//+/Tp69KjOnz8vPz8/XXXVVbr66qt1zTXXNOizAQAAAABA89Hsw7HKAVC54cOHa82aNW7Pl5OTozFjxshmszm9P2zYMK1du7bOdaJxXLhwQf/4xz/07rvvKi8vr9o+ffr00YMPPqh77723cYsDAAAAAABNTovdVpmcnKzTp0+7PW7jxo1VgjE0Dz/88IMmTJig119/vcZgTJKOHDmiBQsW6JFHHlF+fn7jFQgAAAAAAJqcFhuOORwObdiwwe1xdRkD70tLS9ODDz6on3/+2XivdevWGjdunKZPn65p06Zp7NixatWqlfH1pKQkzZgxQyUlJd4oGQAAAAAANAHNfltlZa1bt9bFixcllQVdjz/+uMtj9+/fryNHjkiS/Pz8ZLFYZLVaG6ROeE5hYaFmzpxp/HuXpNGjR+uvf/2rOnbs6NQ3JydHv//97/X1119LKlthuHTpUv3hD39o1JoBAADQ+Gw2mzIzM9WtWzf5+vp6uxwAQBPR4laOjRkzxvgP3fHjx5Wamury2I8//th4PXLkSKdVRmi63nrrLZ06dcpoDxs2TK+++mqVYEySIiIi9Prrr2vQoEHGe++++65OnjzZGKUCAADAi2bMmKHBgwdrxowZ3i4FANCEtLhwrEOHDrrhhhuMtqvbJK1Wqz755BOjfccdd3i8NjSMdevWGa8tFov+/Oc/y8+v5kWRAQEB+vOf/2y0rVarXnvttQatEQAAwF0Oh0Oll+y6XFCq0kt2ORwOb5fUrCUnJ+u9996TJL333ntKTk72ckUAgKaixYVjknTnnXcarzdt2uTS1sgdO3YoNzdXkhQaGlrtDZhoeo4cOeJ0ztjQoUPVq1evK47r27evBgwYYLS3bNnC2WMAAKBJKL1s188/FOrg+jP6YV2ODrxX9r8H15/Rzz8UqvSy3dslNktLly6ttQ0AMK8Wd+aYJI0bN04hISEqLCxUbm6uduzYoXHjxtU6puKWyltvvVWBgYH1ruP06dNKSUnR+fPnVVRUpLCwMHXq1EkxMTEKCQmp19y5ubnatWuXsrOzZbfbFRERob59+6p37971rruirKwspaam6ty5cyooKFBoaKgiIiIUExOjsLAwjz6rLtLS0pzaQ4YMcXns4MGD9cMPP0gqO7fs22+/VVxcnEfrAwAAcMeFjEv6aVuebCVVV4ldzrfp1K4CZacUKnJsuEK71f/7VbNITk5WYmKi03uJiYlKTk7WsGHDvFQVAKCpaJHhWKtWrTR+/Hh9+OGHkqSNGzfWGo7l5eVp+/btRru+Wyo3b96s119/XYcPH6726/7+/rrxxhs1e/ZsRUdHuzV3Tk6OFi9erC+++EKlpaVVvj5w4EDNnTtXI0aMqFPtklRaWqqEhAStXr1aR48erbaPr6+vRowYoaeeekoDBw6s87PqKy8vz6kdERHh8tjKfXft2kU4BgCAiVzMdd5dYJFFfqWXyr52wSqHGncbY2F2iTK/uaCKjw26yl8BIb4qKbSp+Oeyem0lDh377Ly63RCqkE4BjVpjTVqH+3u7hFrVtEps6dKlWr9+fSNXAwBoalpkOCaVba0sD8e2bdum/Pz8Glc6Vdx62b17d8XExNTpmUVFRXrqqaf01Vdf1drParVq+/bt+vLLLzVz5kw98cQTLs2/e/duPfbYYyosLKyxT2pqqh5++GHNmzdP48ePd6t+ScrIyNATTzyhH3/8sdZ+NptNSUlJ+vrrrzV79my3bgX1pEuXLjm1AwJc/wax8urAY8eOeaQmAADQPBz68Gw1755p9DqqE9o9UF2HtVGrCqHTpVyrTiUX6ELGZckhZX59wYsVOhs8rbO3S6hRdavGyrF6DAAgteBwLDY2Vl27dtWpU6dUUlKizZs36/7776+2b8UtlXVdNVZSUqKpU6dWuR0zOjpaQ4cOVZs2bXTmzBklJSUpOztbkmS32/XSSy+puLhY8+bNq3X+gwcPavr06SoqKjLeCwwM1MiRI9WrVy/ZbDYdPXpU3377raxWq5YtW+b21tDDhw9r6tSpOn/+vPFecHCwYmJi1KtXLwUFBenChQtKTU3V999/L6nsoNjly5erpKREs2bNcut5ntCmTRun9oULrn+TmJ+f79QmHAMAtATWizZvl4B6Cu0eqF63hMviY3F6v1W4v3rdEq7jW3LLArImpCl/7pa8sOSKX3/3rfc9/lyLxaKSgLKdHtaLNpcuVPBv7evxOgAAV9ZiwzGLxaKJEydqxYoVkspurawuHDt27JhToFXxMH93vPjii07zREREaMmSJVW2N9rtdq1Zs0bLli0ztkXGx8crNja2xi19paWlevbZZ52Csbi4OC1evFgdOnRw6puZmamnn35ae/fu1ZIltX8jUFFhYaFmzZplBGOBgYGaMWOGJk+erODg4Cr9Dxw4oGeeecZYYbZixQoNHz5cw4cPd/mZnlB5a+SRI0dcHlu5b3loCQBAc7b/rZ+v3AlNWtfhoVWCsXIWH4u6DmvT5MKxpvq5S0vfp23bt9XaZ9v2bXpv8efq33NQA1SQ41bvprwCDwBashZ5W2W5ikFXSkqK0tPTq/TZsGGD8XrIkCHq3r272885efKk1q5da7TDwsK0evXqas/98vHx0dSpU7Vo0SLjPYfDoUWLFtX406SEhAQdOnTIaF9//fV69dVXqwRjktStWzfFx8crOjrardsXX375Zf3000+Sys5Ee+ONNzR9+vRqgzFJ6tevn9566y1FRkZKKgv9Xn75ZZef5ymDBw92aiclJbl0O+nly5e1c+dOp/esVis3VgIAAK8KuspfrdrW/vPrVuH+CurYtM/4airWbnnNo/0AAC1Tiw7HIiMjNWjQIKNdMQiTygKdiu/VddXYunXrZLf/cqX2nDlzFBUVVeuYO++8U2PHjjXa6enpTpcCVPTuu+8ar/39/bVw4UL5+9f8DVFwcLAWLlzoYvVlh9p/8MEHRnvatGkuHegfGhqq+fPnG+3du3e7tXLLE9q3b68BAwYY7bNnzzr9Wmry1ltvVTnMX5LT6jwAAIDGFhDi2rY6V/uZWVr6Pn3349cu9f3ux6+Vlr6vYQsCADRZLTock5zPENu4caPT6qydO3caW+kCAwN122231ekZW7duNV6HhYXp7rvvdmncI488UuM85bKyspSWlma04+Li1KNHjyvOPWDAAA0ZMsSlOj7//HMVFxdLKlvZNnnyZJfGSdKoUaOcLjrYtWuXy2M95eGHH3ZqL1u2TLt3766x/7fffquXXnqp2q9dvty0tigAAABzKSl07ewuV/uZmburwVg9BgDm1WLPHCs3YcIELV68WFarVRkZGdqzZ49xG2XFg/jHjBmj0NBQt+c/e/asMjMzjfbIkSNdvjExJiZG7dq1M875SklJqdJn3759Tu3Ro0e7XNvYsWO1d+/eK/ZLTk42XkdGRqpjx44uP8PHx0fdunUzDrc/ePCgy2M95bbbblNCQoJxS2hxcbGmTp2qBx98UHfccYd69eolh8Oh48ePKyEhQe+8846sVqv8/f3l4+PjFIgFBQU1ev0AAHjSv0y+ytslNBtN8Zys4p+tupRrdbqlsrJLuVYVn7nyMRKNqal97r7b/Z3Lq8aMMT9+rYvXpis2JtYjNVgsFuOHyPn5+S4dyA8A8I4WH46FhYVpzJgx+vzzzyWVBWIxMTEqKirSli1bjH513VJ54sQJp3Z0dLRb4/v166ekpCRjLofDIYvllwNYjx8/7tS/b9++Ls/tai0HDhxwel6/fv1cfoYk2Wy//OSyuq2KDc1isWjZsmX67W9/a4RzVqtV//M//6P/+Z//qXHcX/7yFy1dutQIxywWi0JCQhqlZgAAGgq33TV/p5ILqr2tUpIcdodOJRd4oaraNbXP3d9eerHO49avX++RGiwWiwKCyv665V/iSzgGAE1Yiw/HpLKtleXh2KeffqrnnnvOaSth+/btNWrUqDrNXb5iqpw7q64q97fZbCoqKnIKaCrP3759e5fnru7A/urk5uY6tSuGXe4qKPDON2vh4eF66623tHDhQm3YsMHpDLjK2rZtqz/+8Y+6/fbb9cc//tF4v02bNvLxafE7jQEAwP/pe7fz90oWWdQmtI0kqeBCgRxqvDDDVmLXsU9zZbc6dCHjso5vyVXXYW2cVpBdyrXqVHKBcVOlj79FvW8Nl28A379UlJycrMTExDqNTUxMVHJysoYNG+bhqgAATZkpwrG4uDiFh4crNzdXBQUF2rp1qz766CPj6xMmTJCfX91+Kyof4N66dWu3xlfexlc5HCsP8Ooyv6t9PRloefMnYsHBwXrhhRf0yCOP6J///Ke++eYbZWVl6cKFCwoLC1P37t31q1/9SnfeeafatWunwsJCp9spe/fu7bXaAQBA42tdaeuixWJRSNtWkqRSv0uN/n1N1M3hOvbZeckhXci4rAsZlxXU0V8BIb4qKbQ5b6W0lPUPiQhs1Bqbg6VLl9Z7vKdWjwEAmgdThGP+/v6aMGGC1q1bJ0mKj4932kpY1y2VUlkgU9HFixfdGl85/Ko8X+Xw7OLFiwoPD3dpbldradWqlazWsm+2rrvuOr3//vsujWuq+vTpo7lz52ru3Lm19vvxxx+d2hVvvQQAAGhsod0C1Xt8O/2UmCtbSVkwV3ym6vlivgEWRY4NV2g3grHK6rNqrByrxwDAfEyzBrvirZVpaWnGTwL79Omj/v3713neijc1StKZM2fcGl+xv6+vb5VwrPL8586dc3nus2fPutSvYthWeYtlS1YxIJXKgkEAAABvCu0WqH73XqWu14cqMMz5HK/AMF91vT5U/e69imCsBvVdNebpeQAAzYMpVo5J0sCBA9W7d28dO3bM6f2KoVldREVFObXdva2xYv+oqCinw/glqVevXk7tQ4cOubzC6dChQy716927t06ePClJyszMVH5+fpVQriX67LPPjNdBQUEaM2aMF6sBAAAo4xfoo6v+JVgd+wfJdtkhm9UuX38f+QZaqnyviF9kZWXVe9VYucTERGVlZalLly4emQ8A0LSZZuWYVDUI8/Hx0cSJE+s1Z4cOHdS9e3ejnZSU5HSOVW327NnjtBJs8ODBVfoMGjTIqb1jxw6Xa3P1m4MRI0YYr+12u8e+qWjKjh8/rt27dxvtCRMmVFm1BwAA4E0Wi0V+rXwU2MZPfq18CMauICQkRJ07d/bIXJ07d+YWcwAwEdOsHJOku+++W4GBvyxBDw8PV0RERL3nvfnmm7Vq1SpJZbdLfvjhh7r//vuvOO7NN990at9yyy1V+nTp0kX9+vUztgBu375dGRkZToFcdfbv36+9e/e6VP/48eO1bNky49yxN954Q7fffrvT71VLs2jRIuNGS39/f02dOtW7BQEAAKBeQkND9d133zkdoVIXFotF/fv3r3L2LwCg5TJVONahQ4cGCUEmT56sNWvWGGHL8uXLNWLECEVGRtY4ZuPGjdqyZYvRjoyM1E033VRt3/vuu08LFiyQJFmtVi1YsEArV66s8YbN4uJiLViwwOVvCjp16qR77rlH77zzjiTpxIkTevbZZ7V06VL5+/tfYXQZh8OhnTt3Oq1Ca6peeOEFJSUlGe1HHnlEV199tRcrAgAAgCcEBQUpNjbW22UAAJoZU22rbCg9evTQgw8+aLTz8/M1ZcoU7dy5s0pfu92utWvXav78+U7vz58/v8al8nfddZeuvfZao/3NN99oxowZ1R7Of+rUKT366KNKS0tTQECAy7+GOXPmqGfPnkZ78+bNeuCBB7Rnz55ax2VnZ2v16tWaOHGiZs6c6fLzPO0vf/mL/v73vysjI6PGPunp6Xr88cedVuz17dtXTzzxRGOUCAAAAAAAmiBTrRxrSPPmzVNKSopSU1MllYVGU6ZMUf/+/TVkyBC1adNGZ8+e1VdffaXTp087jZ02bZri4uJqnNvf319LlizRpEmTVFxcLEnatm2bxo4dq1GjRikqKko2m01Hjx7VN998I6vVKovFomeeeUYLFy50qf6wsDCtWLFCDz30kHHL5b59+zRp0iT17NlTgwcPVseOHRUQEKCCggLl5OTo4MGDysjIMFaotWnTxu3fN085e/as3nrrLb3yyiu6+uqr1a9fP0VERMjPz0/nzp1TWlqa0tLSnMZERkbqv//7v1v09lEAAAAAAFA7wjEPCQgI0KpVqzRr1iynLXvVhTLlLBaLZs6cqSeffPKK80dHR2vlypV67LHHVFhYKEm6dOmS09bMcj4+Ppo7d65Gjx7tcjgmld1amZCQoNmzZzudV5aenq709PQrjndnpVpDOnr0qI4ePVprn5tuuklLlixRu3btGqkqAAAAAADQFLGt0oOCg4MVHx+v5cuXO22DrMzPz09xcXFKSEhwKRgrFxMTo02bNmn8+PE1njfWv39/xcfH69FHH3W7fkmKiIjQ22+/rddee03Dhg2r8TnlgoKCNGrUKC1cuFCfffZZnZ7pCWPHjtWAAQPk6+tba7+hQ4fq1Vdf1cqVKwnGAAAAAACALI76XOWCWmVlZWnfvn06e/asiouLFRYWpk6dOik2NrbeV0OfP39eu3btUnZ2tux2uyIiItS3b1+PHyxfVFSklJQUZWdnKy8vT6WlpQoKClLHjh0VFRWl3r17u3xof2MoKirSwYMHlZ6ervPnz6ukpETBwcHq1q2brrvuOnXs2NGjz8vNzfXofE2VxWJR27ZtJUl5eXn1ugEK4PMET+LzBE/i8wRP4vMET+LzBE9qCZ+n8PBwj85HOAbUA+EY4D4+T/AkPk/wJD5P8CQ+T/AkPk/wpJbwefJ0OMa2SgAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADAtAjHAAAAAAAAYFqEYwAAAAAAADAtwjEAAAAAAACYFuEYAAAAAAAATItwDAAAAAAAAKZFOAYAAAAAAADTIhwDAAAAAACAaRGOAQAAAAAAwLQIxwAAAAAAAGBahGMAAAAAAAAwLcIxAAAAAAAAmBbhGAAAAAAAAEyLcAwAAAAAAACmRTgGAAAAAAAA0yIcAwAAAAAAgGkRjgEAAAAAAMC0CMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMy8/bBZhVZmambr75ZqP9/PPP66677vJKLa+88or+/ve/G+3Dhw97pQ5Py8nJUWpqqnJycnTx4kVFREQoKipKAwYM8HZpAAAAAACgiWjQcKxyAFRu+PDhWrNmjdvz5eTkaMyYMbLZbE7vDxs2TGvXrq1znWgcRUVFOnDggFJTU5WamqoffvhBp06dMr7etWtXJSYm1vs5qampeumll/TNN9/IbrdX+XrPnj314IMP6oEHHpDFYqn38wAAAAAAQPPllZVjycnJOn36tDp37uzWuI0bN1YJxtD0vfnmm0pISNDRo0erDas86R//+If+9re/qbS0tMY+6enp+utf/6pt27Zp+fLlCgsLa9CaAAAAAABA0+WVM8ccDoc2bNjg9ri6jIH3fffdd/rxxx8bPBh7//33tXTpUqdgLDo6Wg888IAeffRRjR07Vn5+v+TBX3/9tZ566qlagzQAAAAAANCyNWo41rp1a+O1u0HX/v37deTIEUmSn5+f/P39PVobGldQUJBiY2MVFBTkkfkOHTqkv/zlL0Y7ICBAL774oj7++GM999xzmjdvnlasWKFPP/1U11xzjdHv22+/1SuvvOKRGgAAQO1sNpvS09PZCQAAAJqURg3HxowZI19fX0nS8ePHlZqa6vLYjz/+2Hg9cuRItWrVytPloYEEBgZq4MCBmjx5sl544QV98skn2rNnj9atW6fw8HCPPOO//uu/ZLVajfbChQv1b//2b1X6de/eXatXr1b79u2N91avXq0zZ854pA4AAFCzGTNmaPDgwZoxY4a3SwEAADA0ajjWoUMH3XDDDUbb1dVjVqtVn3zyidG+4447PF4bGs7y5cv1wQcfaMGCBfr1r3+tPn36yMfHcx+9gwcPatu2bUY7NjZWd955Z43927Vrp7lz5xrtixcv6n/+5388Vg8AAI3N4XDIWlSoS7lnZS0qlMPh8HZJVSQnJ+u9996TJL333ntKTk72ckUAAABlGv3MsYqhxaZNm5xW+9Rkx44dys3NlSSFhoZWewMmzOvTTz91ak+aNOmKY/7t3/5NoaGhRvuzzz7zeF0AADQ068Uinfpmq/a89CftfOFpffe357Tzhae156U/6dQ3W2W9WOTtEg1Lly6ttQ0AAOAtjX5b5bhx4xQSEqLCwkLl5uZqx44dGjduXK1jKm6pvPXWWxUYGFjvOk6fPq2UlBSdP39eRUVFCgsLU6dOnRQTE6OQkJB6zZ2bm6tdu3YpOztbdrtdERER6tu3r3r37l3vuivKyspSamqqzp07p4KCAoWGhioiIkIxMTGmuoExMTHReO3v7+9SeBoYGKjRo0dr48aNkqRTp07p4MGDio6ObrA6AQDwpPNH0nTo/X/Idulila9dPPezjv/veqVv26Tof5+m8D79vFDhL5KTk53+ey2V/fc7OTlZw4YN81JVAAAAZRo9HGvVqpXGjx+vDz/8UJK0cePGWsOxvLw8bd++3WjXd0vl5s2b9frrr+vw4cPVft3f31833nijZs+e7XZQkpOTo8WLF+uLL76o9gbEgQMHau7cuRoxYkSdapek0tJSJSQkaPXq1Tp69Gi1fXx9fTVixAg99dRTGjhwYJ2f1RxcuHBBP/74o9Hu16+fy+HpoEGDjHBMKrtVk3AMAFCbopwsb5cgScpPP6pjm96TKtwE3aZ7lALD2uly/nkVZJyQJNkuXdT+da/q6gn3KbSnZ39I547n/7qw2veXLl2q9evXN3I1AAAAzho9HJPKtlaWh2Pbtm1Tfn5+jSudKm697N69u2JiYur0zKKiIj311FP66quvau1ntVq1fft2ffnll5o5c6aeeOIJl+bfvXu3HnvsMRUWFtbYJzU1VQ8//LDmzZun8ePHu1W/JGVkZOiJJ55wCoOqY7PZlJSUpK+//lqzZ8/W448/7vazmotjx445td0Jt/r371/rXAAAVLb379WHPN7U7toBivrVrxV0VWfjveKfT+vEZwk6/+N+yW7X0X++7bX6DmWf1Y6kr6v9GqvHAABAU+CVcCw2NlZdu3bVqVOnVFJSos2bN+v++++vtm/FLZV1XTVWUlKiqVOnVrkdMzo6WkOHDlWbNm105swZJSUlKTs7W5Jkt9v10ksvqbi4WPPmzat1/oMHD2r69OkqKvrlXI/AwECNHDlSvXr1ks1m09GjR/Xtt9/KarVq2bJlbm8NPXz4sKZOnarz588b7wUHBysmJka9evVSUFCQLly4oNTUVH3//feSyg7nXb58uUpKSjRr1iy3ntdcHD9+3KndpUsXl8d27tzZqV15LgAwu5KiAm+XcEUWi0WXfcuOUC0pKmiSB9E3pHbXDlC/SY/LUumim6CrOqvf5P/QgbdWlAVkXvTud2m1fn3J88/rnXVrGqma2jW1z1NAcBuvPh8AALPwSjhmsVg0ceJErVixQlLZrZXVhWPHjh1zCrRqu4GwNi+++KLTPBEREVqyZEmV7Y12u11r1qzRsmXLjG2R8fHxio2NVVxcXLVzl5aW6tlnn3UKxuLi4rR48WJ16NDBqW9mZqaefvpp7d27V0uWLHG5/sLCQs2aNcsIxgIDAzVjxgxNnjxZwcHBVfofOHBAzzzzjLHCbMWKFRo+fLiGDx/u8jObi5ycHKd2RESEy2M7duwoX19f2Wy2aucCALPb9cL/5+0ScAVR4++qEoyVs/j4KGr8XV4Nxw5ln1XKyexa+2zbsUOrZz+svp061NrPjEYtXOHtEgAAMIVGv62yXMWgKyUlRenp6VX6bNiwwXg9ZMgQde/e3e3nnDx5UmvXrjXaYWFhWr16dbXnfvn4+Gjq1KlatGiR8Z7D4dCiRYtq/MlhQkKCDh06ZLSvv/56vfrqq1WCMUnq1q2b4uPjFR0drZKSEpd/DS+//LJ++uknSWVnor3xxhuaPn16tcGYVHbu1ltvvaXIyEhJZaHfyy+/7PLzmpOKoaQkty5T8PHxUevWrY12cXGxx+oCAKChtekepaCOnWrtE3RVZ7XpFtk4BVXjSqvG3O0HAADQELwWjkVGRmrQoEFGu2IQJpUFOhXfq+uqsXXr1sle4bDaOXPmKCoqqtYxd955p8aOHWu009PTnS4FqOjdd981Xvv7+2vhwoXy9/evce7g4GAtXOj6eSV5eXn64IMPjPa0adNcOtA/NDRU8+fPN9q7d+/WkSNHXH5uc3HxovMNXQEBAW6Nr7i9tXLQBgBAUxYY1s61fm3bN3Al1XNl1Vi5lJPZOpR9toErAgAAqJ7XwjHJ+QyxjRs3Oq3O2rlzp3H+V2BgoG677bY6PWPr1q3G67CwMN19990ujXvkkUdqnKdcVlaW0tJ++UlnXFycevToccW5BwwYoCFDhrhUx+eff26saPLx8dHkyZNdGidJo0aNcrroYNeuXS6PbS4uXbrk1HY3HKvY//Llyx6pCQCAxnA5//yVO0m6nHeugSupnrurwVg9BgAAvMUrZ46VmzBhghYvXiyr1aqMjAzt2bPHuI2y4kH8Y8aMUWhoqNvznz17VpmZmUZ75MiRLocnMTExateunXHOV0pKSpU++/btc2qPHj3a5drGjh2rvXv3XrFfcnKy8ToyMlIdO3Z0+Rk+Pj7q1q2b8vPzJZVdHNDSVL7YoPxmU1dV3N7q7iUJANDSDX92qbdLuCKLxaKw0LIfBOVfyG/wA9Sb0jlsBRknVPzzaadbKisr/vm0CjJ/aryi/o87q8bKpZzMlu8t9ypm6NAGqurKGvvzBAAAmgavhmNhYWEaM2aMPv/8c0llgVhMTIyKioq0ZcsWo19dt1SeOHHCqR0dHe3W+H79+ikpKcmYy+FwyGKxGF+vfLth3759XZ7b1VoOHDjg9Lx+/fq5/AxJxmHzUtkWzZYmKCjIqe3u6q+K/SvPBQBm1xxuyrNYLApsU/YDtACb3XRhxonPEtRv8n9Ueyi/w27Xic8SvFBV3VeB/e3lv2v9+vUersZ1Zv88AQBgVl4Nx6SyrZXl4dinn36q5557zmkrYfv27TVq1Kg6zV2+YqqcO6uuKve32WwqKipyOvC98vzt27t+pkd1B/ZXJzc316ldMexyV0FBQZ3HNlWVAy13zg2z2+1O2zIJxwAAVzJkxnPeLkGlly4qbc0rspVc1vkf9+vAWysUNf4upxVkxT+f1onPEoybKn0DAtX/oZnya9W6pmk9Zk/KPqW8+l6dxiYmJio5OVnDhg3zcFUAAAA183o4FhcXp/DwcOXm5qqgoEBbt27VRx99ZHx9woQJ8vOrW5mVg5KKNxO6orrgpWI4Vvl2Q3fmd7WvJwOtlvjTz4iICKd2+Tl1rjhz5oxKS0uNdqdOtd/4BQBAcEQXb5cgSYq+b7rS1r0qh92u8z/u1/kf96tNt0gFtm2vy3nnnLZSWnx8FH3fdIX17N0otb0cP6te45cuXerV1WMAAMB8vB6O+fv7a8KECVq3bp0kKT4+3mkrYV23VEplN0NWVPlmwyupHH5Vnq9yeHbx4kWFh4e7NLertbRq1co4R+u6667T+++/79I4s+jVq5dTOysry+Wxp0+fdmpf6RZTAACaivA+/dT/gSd18P142S6VfU9RkPlTlfPFfFu1VvS/T1N4H/eOZair5ORkJSYm1msOVo8BAIDG5tXbKstVvLUyLS3NWOHUp08f9e/fv87zVrypUSpbKeSOiv19fX2rhGOV5z93zvXboM6ede268ophW+UtlpB693b+Kbg7lw5UvGm0urkAAGjKwvv0U+zchep12z1q3f4qp6+1bn+Vet12j2LnLmy0YEwqW/XVlOYBAABwhddXjknSwIED1bt3bx07dszp/YqhWV1UXgnk7m2NFftHRUU5HcYvVV21dOjQIQ0YMMCluQ8dOuRSv969e+vkyZOSpMzMTOXn51cJ5cwsLCxMffr00ZEjRySVXWBw+fJll26erHwDaWxsbIPUCABAQ/FvHayuN9ysLiPGqvRikWyXL8k3sJX8WgdX+b6loWVlZdV71Vi5xMREZWVlqUuXprGNFQAAtGxNYuWYVDUI8/Hx0cSJE+s1Z4cOHdS9e3ejnZSUpJKSEpfG7tmzx2kl2ODBg6v0GTRokFN7x44dLtfm6jePI0aMMF7b7XaPfdPZkowdO9Z4bbVatXXr1iuOuXz5stO/ry5durh9EygAAE2FxWKRf1CIWoV3kH9QSKMHY5IUEhKizp07X7mjCzp37ux0zisAAEBDahIrxyTp7rvvdlrtEx4eXuWw9bq4+eabtWrVKkllt0t++OGHuv/++6847s0333Rq33LLLVX6lAcq5Wekbd++XRkZGU6BXHX279+vvXv3ulT/+PHjtWzZMuPcsTfeeEO33367SyujzOLWW2/VG2+8YbTffvtt3X777bWO+ec//6kLFy4Y7fHjxzdYfQAAmEFoaKi+++47pyMy6sJisah///7cIg0AABpNkwnHOnTooKlTp3p83smTJ2vNmjWy2+2SpOXLl2vEiBGKjIyscczGjRu1ZcsWox0ZGambbrqp2r733XefFixYIKls1dKCBQu0cuXKGm/YLC4u1oIFC1z+prFTp06655579M4770iSTpw4oWeffVZLly6Vv7+/S3M4HA7t3LnTaRVaS9KvXz/FxcUZK8G+++47ffzxxzVe5nD+/Hn97W9/M9qtWrXSww8/3BilAgDQogUFBXFMAQAAaHaazLbKhtKjRw89+OCDRjs/P19TpkzRzp07q/S12+1au3at5s+f7/T+/Pnza9yecNddd+naa6812t98841mzJhR7eH8p06d0qOPPqq0tDQFBAS4/GuYM2eOevbsabQ3b96sBx54QHv27Kl1XHZ2tlavXq2JEydq5syZLj+vOZozZ45TIPncc8/pk08+qdIvIyNDU6ZMcfr389BDD+mqq66q0hcAAAAAALR8TWblWEOaN2+eUlJSlJqaKqksNJoyZYr69++vIUOGqE2bNjp79qy++uornT592mnstGnTFBcXV+Pc/v7+WrJkiSZNmqTi4mJJ0rZt2zR27FiNGjVKUVFRstlsOnr0qL755htZrVZZLBY988wzWrhwoUv1h4WFacWKFXrooYeMWy737dunSZMmqWfPnho8eLA6duyogIAAFRQUKCcnRwcPHlRGRoaxQq1NmzZu/755yqlTp6rdlipJNpvNqV9N536tWrWq1ivdo6Oj9Yc//EF/+tOfJEklJSX63e9+p/j4eMXExKhVq1Y6duyYvvzyS5WWlhrjhg0bplmzZtXhVwUAAAAAAFoCU4RjAQEBWrVqlWbNmqWkpCTj/bS0NKWlpVU7xmKxaObMmXryySevOH90dLRWrlypxx57TIWFhZKkS5cuOW3NLOfj46O5c+dq9OjRLodjUtmtlQkJCZo9e7bTeWXp6elKT0+/4nh3Vqp5msPhcArBalNTP1e2od5///0qKCjQSy+9ZARgBw8erPGW0uuvv14vvfSSy9tTAQAAAABAy9Pit1WWCw4OVnx8vJYvX+60DbIyPz8/xcXFKSEhwaVgrFxMTIw2bdqk8ePH13jeWP/+/RUfH69HH33U7folKSIiQm+//bZee+01DRs2rMbnlAsKCtKoUaO0cOFCffbZZ3V6ZnMzffp0vf3227rhhhvk41P9x7t79+6aP3++Vq1apbZt2zZugQAAAAAAoEmxOOpznVAzlpWVpX379uns2bMqLi5WWFiYOnXqpNjY2HpfHX7+/Hnt2rVL2dnZstvtioiIUN++fXX11Vd7qPoyRUVFSklJUXZ2tvLy8lRaWqqgoCB17NhRUVFR6pgCnAAAPcVJREFU6t27t6lXReXk5Oj7779XTk6OLl26pKuuukpRUVEaOHCgx56Rm5vrsbmaMovFYgSJeXl59bqFDODzBE/i8wRP4vMET+LzBE/i8wRPagmfp/DwcI/OZ9pwDPAEwjHAfXye4El8nuBJfJ7gSXye4El8nuBJLeHz5OlwzDTbKgEAAAAAAIDKCMcAAAAAAABgWoRjAAAAAAAAMC3CMQAAAAAAAJgW4RgAAAAAAABMi3AMAAAAAAAApkU4BgAAAAAAANMiHAMAAAAAAIBpEY4BAAAAAADg/2/vzuOiqvc/jr8BN1BAcEHFNXdJc8FcMjVtsa6m2W0xKzWX0tztpm3antVVSzTLFvXaTVOvXXMpu+WWS7fcDTFNRQVFUUQERRD4/eHPcznDADMwwIzn9Xw8fDz8fud7zvd7mO+cOecz3/P9WhbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYFsExAAAAAAAAWBbBMQAAAAAAAFgWwTEAAAAAAABYlldWVlZWSTcCAAAAAAAAKAmMHAMAAAAAAIBlERwDAAAAAACAZREcAwAAAAAAgGURHAMAAAAAAIBlERwDAAAAAACAZREcAwAAAAAAgGURHAMAAAAAAIBlERwDAAAAAACAZREcAwAAAAAAgGWVKukGAHBMYmKidu7cqbi4OCUnJ6tq1aqqWbOmWrduLW/v4o9zp6SkaPv27Tp9+rQSExMVHBys0NBQtWnTRmXKlHFJHadPn9bevXt1+vRpXb58WSEhIapXr56aN2/ukv1bmbv0p+TkZB06dEhHjhxRYmKi0tPTFRAQoGrVqqlly5YKDg4utrag4NylPxWn48ePa//+/YqLi1NmZqZCQkLUsGFDNWrUqKSb5tGs2JdgHWlpadqxY4diY2OVkJCgihUrqlq1agoPD5efn59L6uAzdONLTU3VoUOHdPjwYZ0/f16pqakKCAhQlSpV1KJFC1WrVq2kmwjY5e73dgTHADcXHR2tadOmaf369UpPT8/xetWqVfXII49o2LBhLgtK5SU+Pl7Tp0/X999/r0uXLuV4vWLFirr//vs1ZswYVahQoUB17N27Vx9++KG2bt2qzMzMHK/XqVNHTzzxhB5//HF5eXkVqA6rcof+tG/fPv3www/aunWr9u/fb/c9vq5FixYaMGCA/vKXvzj1Xjdu3LjA7YuMjFSpUnw9OsId+tMTTzyhX3/9tUDbzps3Tx07dnRqm02bNumjjz7Srl277L7euHFjDR06VL169SpQm6yqpPvSpEmT9M033xR6Pw888ICmTp2a6+vdunVTbGxsgfb9ww8/qE6dOgVtmmWkpKRo//792rt3r/bu3at9+/aZ/uahoaFat25dsbYpOTlZH374ob799lslJibmeN3Pz089evTQhAkTVLly5QLVUdKfoRuVu/Snw4cP6/vvv9eWLVu0d+9eu+/xdQ0aNNDjjz+uv/71rypdurTDdXB+Knru0p8K85335ptv6qGHHnJqG0+5t/PKysrKKrHaAeTp22+/1ZQpU+wGoWyFhYUpIiJCoaGhRdaerVu3asKECUpISMi3bO3atRUREaEmTZo4Vcfnn3+u6dOn6+rVq/mWve222zRjxgwFBgY6VYdVuUN/GjRokLZu3er0dh06dNB7772nqlWrOlSe4FjRc4f+JBVfcCwrK0tTp07VggUL5MilU8+ePfXOO+9wE+oAd+hLrgqO9e/fX5MnT871dW4+i868efO0fPly/fnnn3n+6FLcwbH9+/dr1KhRiomJybdspUqVNG3aNHXo0MGpOtzhM3Sjcaf+9Morr2jJkiVOb9esWTNNnz5d9erVc6g856ei4079SSre4Jgn3dtx9Q+4qU2bNmnSpEnKyMgw8urWrat27dqpYsWKOn78uNavX6/U1FRJ127on3nmGS1atKjAI7byEhUVpWeffdZ04VW1alV17txZlStX1qlTp7R+/XolJSVJuvbI0dChQ7Vs2TKFhIQ4VMeSJUv03nvvmfKaNm2qNm3ayNfXV4cPH9amTZuMk+uWLVs0ZswYffbZZwQz8uEu/cleYLVGjRpq2bKlqlatKj8/P509e1a//vqroqOjjTLbtm3TwIED9c9//lNBQUFO1enl5eXUoySMRsyfu/Qne3x8fBwu68x7/cEHH2j+/PmmvNatW6t58+by8fHRgQMHtG3bNiNwtmrVKpUuXTrPUURwn77k7e3tVN+5Lnu7Jenuu+92eFvOTa7122+/6eDBgyXdDJNTp05p2LBhio+PN/ICAwN1xx13qFq1aoqPj9emTZuM18+dO6cRI0Zo8eLFDv/I4y6foRuNO/Wnc+fO5cirVKmS2rRpo5CQEAUEBOj8+fPauXOnDhw4YJTZv3+/nnjiCS1atEi1atVyqk7OT67lTv3JnqK6dvK0ezvuJgE3FB8fr/HjxxsXOl5eXpo4caIGDBhg+qJKSEjQmDFjjFETBw8e1JQpUzRt2jSXtufKlSs5AmNPPfWUxo0bZxoVkZycrFdeeUVr1qyRJJ05c0Zjx47VokWL8q3jwIEDev311410mTJl9Pbbb+d4NOnEiRMaMWKE8QWzbds2RUREaNy4cYU6xhuZu/UnSapcubL69u2rvn372v1FMysrS2vXrtXkyZN14cIFSdceKZgyZYpmzpzpVF3PPvusRo0a5ZJ2wz3703W33nqrFi5c6PL9bty4UR9//LGRDggI0MyZM3OM7ti/f7+GDx+uuLg4SdI333yj1q1b6+GHH3Z5m24E7tSX3n77bb399ttObbN//3498MADRjo0NFTt2rVzePs+ffoQPC1ifn5+CgsLU2RkpEOjqlwpKytLY8aMMQXGevbsqddff13ly5c38tLS0jRt2jQj+H7p0iU9++yzWrNmTb4jT93pM2QFJdmfJMnf31/333+/HnroITVt2tRumV9++UWTJk3SqVOnJF3rI+PGjdPSpUudCmpwfip6Jd2friuq0WqeeG/HrIyAG/r444918eJFIz1q1CgNGjQoxy84wcHB+uyzz1S/fn0jb/Xq1aZfjVzhn//8p2mY9YMPPqiJEyfmuGirUKFCjscBdu7cqZ9++infOj744APT/AlvvPGG3Tl7atWqpQULFqhSpUpG3oIFC0wXnzBzp/4UHBysSZMmaf369ZowYUKuQ/29vLzUo0cPzZs3T76+vkb+2rVrtXfvXpe1B85zp/5UHLKyskw3kF5eXvroo4/sPvbUrFkzzZ8/X2XLljXyIiIidOXKlWJpq6fx9L60fPlyU7pPnz6MnihBZcuWVYsWLdS/f39NnTpVq1at0o4dO/Tll186PeLYFX744Qft2bPHSHfs2FF///vfTYEx6doN4wsvvKC+ffsaeSdOnNDixYvzrcPTP0PuzJ36U/ny5TV8+HBt2LBBkydPzjUwJknt27fXV199ZZq7bt++ffr++++Lo6nIhTv1p+Liifd2BMcAN3Pu3DnTvAK1a9fWsGHDci1ftmxZvfLKK0Y6KytLH330kcvak56erk8//dRI+/v7a+LEibmW9/b21muvvWa6MJs9e3aedURFRWn9+vVGum3bturTp0+u5YODgzV+/HgjffnyZX3xxRd51mFV7tafPv30Uw0aNMjheZjCwsI0YMAAU97atWtd1h44x936U3H46aef9Mcffxjp3r17q23btrmWr1evngYPHmykz5w5o6VLlxZpGz2Rp/el9PR0rVq1ykh7eXmZRpGh+M2YMUNLly7V5MmT9cADD6hhw4YlujrjnDlzjP97e3vr1VdfzTN4OmnSJNNjjnPnzs1zjh5P/wy5O3fqT++8847Gjh3r8GOwNWrU0NixY015XDuVLHfqT8XBU+/tbtx3BPBQP/30k9LS0oz0ww8/nO9KMx06dDCNwNm4caMuX77skvb8+uuvpnmievbsme8kiXXq1DFNch0ZGakTJ07kWt7216zHHnss33b16tVLAQEBRpovffvcrT8VZP6Av/zlL6Y0I8dKjrv1p+Lw3XffmdL9+/fPd5tHH33UNH8Hv9jn5Ol9aePGjTp//ryRDg8Pd3pOH9y4jh07pqioKCPdqVOnfCcrDwwMNH3fxcfHa/v27bmW9/TPEBxXkGunHj16mIIvXDuhOHnqvR3BMcDN2D7z3aNHD4e2y14uNTVVW7ZsKZL23HPPPU63R1Kej1Zmr6N06dLq3r17vvsvW7asunbtaqRjY2NNF6K4xt36U0HY3lDYm5gWxeNG6E/OuHr1qn7++WcjXb16dbVo0SLf7UJCQtSyZUsjvXPnTlMgBZ7fl2xX+WLUGLKzveZx9Nrp3nvvzXM/2Xn6ZwhFy9/fX8HBwUaaaycUJ0+9tyM4BriZ7L8SVq5c2eFfolu1amVK//bbby5vj4+Pj0M3hvbak9uvn0lJSabVW5o1a2aarycv2W8+Jdcd843E3fpTQaSkpJjSrExacm6E/uSMQ4cOGQtCSDmPIy/Zz08ZGRnauXOnK5vm8Ty5LyUkJGjjxo1G2tfX1+HgB6zB9prH0XPH9dVvc9tPbnV42mcIxSP7JO9cO6G4ePK9HcExwI2cOXPGNLFqXhNu2mrWrJkpffjw4UK3JzMzU9HR0Ua6Tp06OSaSzU39+vVVrly5fNtjm+/MMYeFheW5L6tzt/5UUNnne5KkatWqlVBLrO1G6U/O4PxUNDy9L61evdo0yfDdd9/t8FxAsIbs/bJcuXK66aabHNquQoUKql27tpE+evSosrKycpTz9M8Qit7x48dNwTGunVBcPPnaiRAy4EaOHDliSteoUcPhbStXrqzSpUsbF+y2+yqI2NhYpaamFqg9Xl5eqlatmhFcO3HihK5evZrjl6vCHHP16tXz3JfVuVt/Kqhvv/3WlG7fvr1T2//3v/9VVFSU/vjjDyUkJKhUqVIKCgpSnTp11LZtW/Xo0cN0MwL7PKE/nTx5UhMnTtS+ffsUHx+vq1evKigoSCEhIQoPD1fXrl3Vpk0bh/fnyvPT0aNHHd72RucJfSkvrnqk8sCBAxo3bpwiIyONR54qVqyomjVrqm3btrrzzjvVpEmTQrcXxSs9PV0xMTFGulq1ak6tYlqjRg3jfHH58mWdPHlSoaGhpjKe/hlC0SvstRPnJ+tITk7W5MmTtXv3bp0+fVpXrlxRYGCgqlatqlatWun2229Xp06dHD6PefK9HcExwI2cPn3alA4JCXF4Wy8vL4WEhBgXZLb7Ku72XC9/PTiWnp6uc+fO5dhHYeqoUqWKfHx8lJGRYXdfVudu/akgoqOjtXLlSiPt4+Oju+++26l92BuSnZSUpGPHjmnTpk364IMPdO+99+rFF180LSMNM0/oTzExMaabUunaYyWxsbHauXOn5s6dq1atWumll15S8+bN892fbTud+eXdtmxcXJzD297oPKEv5ebgwYOKjIw00qGhoU7fdF4XFRWVYz6V5ORkxcTE6JdfflFERIQ6d+6sl19+Od/J3OE+zp07Z1pl0tkRO7afh7i4uBzBMU/+DKHoJSYmauHChaY82/ns8sP5yTouXLigr7/+2pR3+fJlxcXFae/evVqwYIEaNWqkiRMnqlOnTvnuz5Pv7XisEnAjtnMrOfoIo73yV69eNa1iVNLtsbc/e3nOPJri7e0tX19fI519+Djcrz85KzMzUy+//LLp8aU+ffqoZs2aLq0nIyNDq1atUp8+fVjNKQ+e3p+u27Vrl/r166elS5fmW7Ywx2xblvPT/3hyX7IdNda7d2+nRgU5a9OmTXrwwQe1YcOGIqsDruXqayd75w5P/gyh6L355ptKTEw00u3bt1d4eLjL6+H8ZB0HDx7UkCFDNGvWrHzLevK9HSPHADdiu5y2o5MX5lY+JSVFZcqUcZv22DvB2dbhbHvLli2r5ORkSfaDb1bmbv3JWREREaZRX8HBwXruuecc3r5OnTrq3r272rdvrwYNGig4OFg+Pj5KSEjQ77//rjVr1uj77783fp06c+aMhg0bpiVLlvCYpR3u3J8qVqyobt266fbbb1fjxo0VEhKicuXKKSkpSYcOHdKGDRu0ZMkS41yRnp6uyZMnKygoSHfeeWeu+y3M+cmR859VuXNfyktGRoZpJKuXl1eBHqkMCQlR9+7d1bFjRzVu3FiVKlVSmTJllJiYqKioKP3444/65ptvjIDFxYsXNXr0aC1cuFC33HKLy44HRcP2s14c106e8hlC0Vu2bJnpPFW2bFlNnjzZ4e05P1mHn5+funbtqs6dO6tp06YKDQ2Vr6+vLl68qGPHjmnz5s366quvjMdqs7KyFBERIX9/fw0YMCDX/XryvR3BMcCNZJ/fS3L+ZGJb/sqVK27VHtv9ubqOwh7vjcbd+pMz1q5dqzlz5hhpLy8vvfXWW6ZlyfPy+eef67bbbrM7oqNatWqqVq2a7rzzTg0cOFCjR4/WqVOnJEnnz5/X888/r8WLF7vmQG4g7tqfRo8erRYtWti9OQwODla7du3Url07DR48WOPGjdOvv/4q6drIxIkTJ+rHH39UUFCQ3X0X5pgdOf9Zlbv2pfxs3rxZ8fHxRrpNmzZOB9LfeusttW3b1u7KcVWqVFGVKlXUuXNnDR48WCNHjjRW/Lpy5YrGjRun77//niCGm7Ptj+5+7SRx/XSj2LVrl1577TVT3sSJE1W/fn2Htuf8ZB2PPvqoXn75ZbujuoKCghQUFKSWLVtq0KBBevHFF/X9998br7/77rvq1KlTrv3Kk+/teKwScCO2N3fZHydzhO2w+MJ+Qbm6PfZuXl1Zh7O/nN7o3K0/OWr79u3629/+Zlqha+TIkerWrZvD+3B04tAWLVroiy++kL+/v5G3a9cubdy40blGW4C79qe2bds69NmvXLmy5s6da1qpLTk5WZ9++mmu2xTmmB05/1mVu/al/LhiIv4OHTrYvfG0VadOHc2fP980kXFsbKxDjwOjZNn2R3e/dpKK7zOEonPkyBENHz7c9N727dtX/fv3d3gfnJ+so2XLlg497li+fHnNmDFDXbp0MfIyMjI0c+bMXLfx5Hs7gmOAG/Hz8zOlnR1pYBtdd3YOiqJuj+3+7OU5+wtB9vL29m9l7tafHHHgwAENHz7cVHe/fv00cuTIIqvzpptu0rBhw0x5q1evLrL6PJUn9idbvr6+mjJliilvzZo1uZYvzPnJkfOfVXliX0pKStJPP/1kpH19fdWjR48irbNSpUo5HiXPq7/CPdj2x+K4dvKEzxCKTlxcnAYPHqzz588beXfccYfeeOONIquT85N1eHt7a8qUKSpdurSRt27duhyPT17nyfd2BMcAN2J7AnB2jprsz2WXKlWq0NH2wk4o7ciEsbbH7Myz5ZmZmaYLQm4+zdytP+Xn+PHjGjJkiJKSkoy8++67z6m5MgrqwQcfNI0027ZtW5HX6Wk8rT/lpmXLlmrQoIGRPnXqlLGqrq3CnJ9sy3J++h9P7EurV682/Zp99913OzXJcEHdc889pnp2796d6w0J3IMr+7e9/bm6jpI8H6PwEhISNGjQIJ08edLIa9u2rT788EOHRoEVBucn6wgNDVXHjh2NdFpamnbu3Gm3rCff2xEcA9yIveW7HZWVlWVa7taZZXOLoj2SefndUqVKqVKlSi6tIz4+vlDLpd/o3K0/5eX06dMaOHCgaT6f22+/Xe+99568vYv+q6pSpUqqVauWkT5z5ozTw8BvdJ7Un/LTsmVLUzr7TUV2hTlm27Kcn/7HE/vSv//9b1O6II9UFkSpUqXUvHlzI3316lWdOXOmWOpGwVSqVMkUlLg+p6Wjsvdvyf65wxM/Q3C95ORkDRkyREeOHDHywsLC9PHHHxdLwJPzk7UUx7VTSd/bERwD3MhNN91kSud20rHn7Nmzppv5evXqFbo9oaGhpi9XZ9qTlZVlOhnWqlXLNBz3usIcs+0FpyuO+Ubibv0pN9d/9YyNjTXywsPDNWvWLLt9pqjYBm+zL4MOz+lPjrB9r7M/ipKdK89PtvuyMk/rS0eOHNHu3buNdI0aNdS+ffsir/c6R/sr3EOZMmVUs2ZNIx0XF2eaQzM/2T8P5cqVU2hoaI4ynvYZguulpqbqmWeeUWRkpJF300036bPPPiuWUa3XcX6yjpK4diru8xPBMcCNhISEmCYGj4qKcnjb/fv3m9KOrkyTF29vb9WtW9dIHzt2zOGh+4cPHzYNi82tPbb5zhxz9guCvOqwKnfrT/Zc/9Xz8OHDRl5YWJg++eQTlStXrkjqzI3towA8ZmLmCf3JUY6+1648PxEc+x9P60u2o8Z69+7t0IIfrsK5yfNk/7ynpqaaRvbkJTk5WcePHzfS9erVs9vXPO0zBNdKT0/X6NGj9dtvvxl5oaGhmj9/vsOrersK5yfrsH2vc1vIw5Pv7QiOAW6mTZs2xv/Pnj2rEydOOLSd7XPfbdu2dUl7wsPDjf9nZGRoz549Dm23a9cuh9oTGBiohg0bGun9+/c7PHGjo3VYmbv1p+xSU1P19NNPm74IGzZsqM8//7xYf/WUrs1xkP2XrdKlSysgIKBY2+AJ3Lk/OcO23bndTDRq1MjUD2zPOXnJXtbHx0etW7d2spU3Nk/pS5mZmVqxYoUpr2/fvkVapy1H+yvcR/ZrJ8nxc8fevXuVkZGR636y85TPEFwrMzNTf/vb30yraletWlULFiwokUdkOT9ZR0xMjCltb7ocybPv7QiOAW6mW7dupvR3333n0HZr1641/l+2bFnddtttRdKe77//3qHtbMt1797doTrS09NNK4Ll5sqVK6YLgxo1aqhZs2YOtc1K3K0/XXf9V8/t27cbeXXq1NEXX3yhoKAgl9bliJ07d5oWAmjSpEmxt8ETuGt/csbly5dNv7aXKlVKjRo1slu2VKlS6ty5s5E+deqUQz8QnD592vQYXqtWrbhhsOEpfWnbtm2mKQLatGmj2rVrF2md2Z06dUqHDh0y0pUqVVLVqlWLrX4UTHFfO0nu+xmCa02ZMsX0XgcFBWnevHmmeVOLC+cn68jKytLPP/9symvatGmu5T313o7gGOBmunfvbppnaenSpflODL5t2zYdPXrUSHfp0sVlq3vceuutpmDF6tWrTUEEe44dO6atW7ca6bCwsDy/tHv06GFKf/XVV/m2a+XKlaZ23HPPPfluY0Xu1p+ka796Tpw40fQFWL16dc2bN6/ELqrmzJljSnfq1KlE2uHu3LE/OWvBggVKTk420rfcckueIxULcn5avHixMjMzc90HPKcvffPNN6Z0cU3Ef91HH31kmq/qtttuK9ZHOlEw9erVU+PGjY30li1bdOzYsTy3uXDhgtasWWOkK1eunOeoCU/5DMF13nvvPS1ZssRI+/v764svvjCtwFycOD9Zx6pVq0wre1evXj3Pfuep93YExwA3U7lyZT300ENG+vjx45o7d26u5a9cuaI333zTSHt5eWn48OG5lo+JiVHjxo2Nf7a/PNoqU6aMhgwZYqQvXryoqVOn5lo+MzNTU6ZMMd0YjhgxIs86mjVrpi5duhjp3377LcccL9klJCRo+vTpRrpcuXJ66qmn8qzDqtytP0nSq6++qtWrV5vaOH/+fLuTDjsrMTExx0pf+Zk5c6Y2b95spMuVK6d+/foVui03InfrT3/88YcTrZc2b96sWbNmmfIGDhyY5zbdu3c3jSxbsWKFaeSZraNHj+rzzz830lWqVDH9zXCNu/Ule5KTk/Xjjz8aaV9fX917771O70e6tuy9o/NOXbds2TLTjbCXl5cGDBhQoPpReNn7U/bAV26y98/MzEy9+uqreU7MP3XqVF28eNFIDx061LTqpa2i/gyhaDnbnz755BPTd4ufn5/mzp3rkpE1nJ88nzP9ydlrp6ioKL366qumvPzea0+9tyM4BrihZ555RuXLlzfSERERmj9/vingJF07kQwZMkR//vmnkXffffe5fAjq448/rurVqxvpf/3rX3r33XeVlpZmKpecnKwJEyZo27ZtRl6rVq1055135lvHuHHjTBeBr7zyilatWpWj3IkTJzRgwACdO3fOyHvyyScZxp0Hd+pP06dP19dff22kK1asqHnz5pkWfiiMU6dO6c4779TkyZO1Y8eOPG9Ejh8/rjFjxmj27Nmm/CFDhrC0fR7cqT89/vjjGjZsmP7zn//kOZ9FUlKSZs6cqaeffto0suLWW2/V3XffnWcd3t7eGj9+vJHOysrSiBEjTOe56/bv36+BAwea2jJy5MhiX1zCU7hTX7Lnu+++M01AfNdddxV4PsTU1FT17NlT48eP1+bNm01L1duKj4/Xa6+9ppdeesmU36dPH918880Fqh/Fr0ePHmrevLmR3rp1q5577jmlpKSYyqWlpemdd97R8uXLjbzQ0FCHfqRx988QXOPrr782BQ7Kli2rjz76yGVzWXJ+spbnn39ejz76qFasWGEaSW8rNTVVCxYsUL9+/Uzl6tWrp/79++dbjyfe23llObO2MIBis2HDBg0fPtx0gVO3bl21b99eFStW1LFjx7R+/XrTipANGjTQ119/nefFe0xMjGkOi9DQUK1bty7f9kRGRqp///6mG4WqVauqS5cuqlSpkuLi4rRu3TrTcNgqVapo2bJlqlatmkPHvGjRohy/TDRt2lTh4eEqV66cDh8+rE2bNpm+tG+99VZ98cUXpkcLkJO79CfbX7O8vLzk7e387zS2q21dFxUVpT59+hjpihUrqlmzZqpbt64CAgLk7e2t8+fP6/fff1dkZGSOG4h7771XM2bM4LGAfLhLfwoPDzdGWvj6+qpx48Zq0KCBKlasqHLlyikpKUmHDx/Wzp07c6yyVK9ePS1evFgVK1Z06Jj//ve/69NPPzXltWnTRs2bN5e3t7f++OMPbd261RSQvf/++/X+++87tH+rcpe+ZE///v1N8yLOnz9fHTp0cGof1yUlJZkekatQoYKaNm2qm266SYGBgSpdurQuXLigAwcOaM+ePTkejwsPD9e8efNyXR0MUmxsrO666y67r2Wf5F66tkiGPfPnz9ett95q9zXb7y9HRl/ExsbqoYceMt30BQYGqlu3bgoJCdHZs2e1ceNGxcfHG6/7+flp0aJFDs99WVSfIatzp/7UrVs3xcbGGumCXjv95z//sTtKn/NT0XOn/tS7d28dOHBA0rUFqBo1aqRGjRopKChIfn5+SklJUXR0tLZv324azSpdG7G6ePFih+e487R7u9zH6gIoUV27dtU777yjV1991bipi46ONj3vnV3Tpk01a9asIrvQCQsLU0REhJ577jklJiZKks6cOaOlS5faLV+zZk1FREQ4HBiTpH79+unixYv68MMPjZNkVFRUrksAt2/fXh9++CGBMQe4W3+6LisrK8dFgSslJiZq69atpjnw7PHx8dGIESM0fPhwAmMOcMf+dPnyZe3evds0EX5u7rnnHr3xxhsKDAx0eP/jx49XamqqFi5caOTt2LFDO3bssFv+vvvuMz3CBPvcsS9J137Jzv7e1qhRQ+3bt3fZ/pOTk/Xbb7/l+YjudY899pgmTpzIjWc+nPk+ya2cq8cMhIaGau7cuRo9erQR3Lhw4UKOueyuCwoK0rRp05xaFMZdP0Oezh37U/b9FuTaydH2cH5yPXftT+np6YqMjDStHJ+bW2+9Ve+9957paaL8eNq9HY9VAm6sT58+Wr58ue68885cTxJVqlTRs88+qyVLlqhmzZpF2p7bb79dK1euVJ8+feTr62u3TGBgoJ544gmtWLGiQMP1hw0bpq+++kodO3bM9VexWrVq6cUXX9T8+fMdHvUB9+tPRaFatWoaNGiQwsLC8pyr5brAwEA99thjWrVqlUaOHJnrr3XIyR3609NPP6327ds7NKF0mTJl1L17d82fP18zZ850KjAmXXu88uWXX9bcuXPVsmXLXMs1atRI7733nmbMmKGyZcs6VYdVuUNfsvXvf//bdCPSu3fvQgXOy5Urp2eeeUatWrVy6CbSz89P999/v5YtW6YpU6bwaK4Hu/nmm7VixQo98cQTuZ53fH191adPH61cubJAq0e642cInoPzk7U8/vjj6tKliwICAvItW6pUKXXo0EGzZ8/WggULnAqMXedJ93Y8Vgl4iPPnz2vnzp2Ki4tTSkqKKleurFq1aql169YlckOfkpKi7du369SpU7pw4YKCg4MVGhqq8PBwl/16dPr0ae3Zs0enT59Wamqqqlatqnr16qlFixYu2b+VuVt/KgppaWn6888/FRMTozNnziglJUWZmZkKCAhQxYoV1bhxY9WvX5+RYi5Q0v0pMzNTx44d07FjxxQXF6eLFy8qPT1dfn5+CgwMVL169dSsWTOX/rJ97NgxRUZG6syZM8rIyFBISIgaNmzo0MTKyF1J96XicPXqVR09elTHjx83jvPq1avy9/dXQECA0Y9ulOPF/6SlpWn79u2KjY1VQkKCAgMDVb16dYWHh5vmDisMK3yGUHQ4P1lLTEyMjh49qri4OF24cEFXrlyRn5+fAgICVKtWLTVv3jzXAREF4e73dgTHAAAAAAAAYFk8VgkAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAAAAAADLIjgGAAAAAAAAyyI4BgAAAAAAAMsiOAYAAADL+u9//6vGjRsb/yIiIkq6SQAAoJgRHAMAAAAAAIBllSrpBgAAAJSUbt26KTY2Ns8y3t7e8vf3V0BAgOrXr6/mzZurR48eatCgQTG1EgAAAEWJkWMAAAB5yMzM1IULF3TixAlt2LBBERER+stf/qKBAwcqOjq6pJtXJJYvX2561HD58uUl3SQAAIAiQ3AMAACgALZt26Y+ffpo48aNJd0UAAAAFAKPVQIAAPy/iRMnqkmTJqa8jIwMJSYmav/+/Vq9erVOnz5tvHb58mWNHTtWixYtyrEdPEO7du30xx9/lHQzAABACSI4BgAA8P/CwsLUrl07u6/16tVL48aN0/vvv69//OMfRv6lS5f07rvvat68ecXVTAAAALgQj1UCAAA4qEyZMnrppZfUq1cvU/7WrVt18ODBEmoVAAAACoPgGAAAgJOee+45eXubL6O2bNlSQq0BAABAYfBYJQAAgJOqVaumJk2aaP/+/UaeoyPHjhw5oqioKJ07d06XL19WUFCQqlatqjZt2sjf379Q7UpOTlZUVJSOHj2qpKQkpaWlydfXVwEBAQoNDVWDBg1UuXLlQtVRWCdPntTvv/+us2fPKikpSf7+/qpcubJat26tKlWquLSujIwM7d69W7GxsYqPj1dGRoYaNmyoO+64w6X1ZGZmau/evYqOjlZCQoIyMjJUqVIl1axZU61atVLp0qVdWl9xHZc9Bw8e1J9//qm4uDhlZGQoNDRU7dq1U6VKlfLc7urVq9q9e7cOHjyopKQkVahQQbVr11a7du1UtmzZIm83AAB5ITgGAABQALVq1TIFx86fP59r2bS0NC1cuFCLFy/W8ePH7ZYpVaqU2rZtq5EjRyo8PNyptkRGRmrOnDnasGGD0tPT8yxbs2ZNde3aVf369VODBg2M/JiYGHXv3t3uNi+88IJeeOGFXPf5008/qWbNmrm+npaWpkWLFmnJkiX6888/7Zbx8vJSWFiYRowYkWs7bEVERGjWrFlG+h//+IfatWunxMREffLJJ1q5cqXi4+NN2zRp0sQURPrvf/+rJ5980kiPHDlSo0aNcqj+c+fOafbs2Vq9erUSExPtlilfvrzuuusujR49WqGhocV2XAVh2wceeOABTZ06VZK0YsUKzZs3T1FRUTm2K126tHr37q3nn39egYGBptfS09M1b948zZs3TwkJCTm2LV++vJ555hk99dRTKlUq/1uTbt26KTY2VpIUGhqqdevWOXx8uf1dAQAgOAYAAFAAtjfyV69etVvu0KFDGj58uE6cOJHn/q5evapt27Zp27Zt6tu3r15//XWHRhzNnTtXM2bMUGZmpkPtjomJ0ZdffqkKFSpo3LhxDm1TGHv27NH48eMVExOTZ7msrCz9/vvvGjFihO644w5Nnz5dfn5+TtcXFRWlYcOG6cyZMwVtskPWrFmjl19+WSkpKXmWS0lJ0b///W+tWbNGkyZNUv/+/QtUX3Edl62MjAy98MILWrFiRa5l0tPTtWzZMu3atUtffvmlgoODJUkJCQl6+umntXfv3ly3TUlJ0bRp0/T7779rxowZ8vHxcfkxAACQH+YcAwAAKADbIEXFihVzlNm3b5/69++fIzBWunRp1a1bVzfffLOqVq2aY7vly5dr+PDhSktLy7MNS5cu1bRp03IExsqXL69GjRqpZcuWatKkiapXry4vLy8Hj8x11q1bpyeffDJHYKx06dKqV6+eWrRooZtuuilHoHH9+vUaMGCArly54lR9p06d0uDBg03vTUhIiMLCwlS3bl2XPb63ZMkSTZgwIUdgzM/PTw0bNlTTpk0VEBBgei0tLU2vv/66aeSSo4rruOx58803TYGx4OBghYWFqVGjRipTpoyp7OHDh/Xcc89JklJTUzV48GBTYKxGjRpq3ry56tWrl6M/rl27VnPnzi2y4wAAIC+MHAMAAHDS5cuXtW/fPlOe7WOFycnJGjNmjC5cuGDk+fr6auTIkfrrX/9qCqYdOHBAERER+vHHH428n3/+WTNnzjSCDbbS0tL097//3ZR3zz33aNiwYQoLC8sRfEhOTta+ffu0adMmffvttzn2V6VKFc2bN0+StHnzZn3++efGa4MHD1anTp3stuP6trYOHTqkcePGKTU11cgLDw/X0KFD1aFDB1NAJzk5WWvWrNGHH36os2fPSpL27t2rt99+W6+99lqu9dp6//33de7cOfn4+Ojhhx/WoEGDVKdOHeP11NRU7dy50+H92RMZGanXX3/dFJCsUaOGnn/+eXXv3t0IGGVkZGjr1q169913dejQIaNsRESEmjdvri5durjVcdnz66+/Go8wdurUSWPGjFGLFi2M11NSUjRv3jzNmjVLWVlZkq4tTLFhwwatW7dO+/fvl7e3t/r166ennnrK9BmJi4vTW2+9pR9++MHI+/jjj/Xwww/nO38ZAACuRnAMAADASQsXLjQFfSSpffv2pvSMGTOMwIIk+fv76x//+IeaNWuWY39NmjTR7NmzNWPGDH388cdG/ueff657771XYWFhObbZtm2baZ6rPn366N133821zRUqVFCHDh3UoUMHjRs3TqdPnza9XrZsWXXs2FHStcBFdg0aNDBec8TVq1c1fvx4099o1KhRevbZZ+2OYKtQoYIefvhhdenSRU8++aSio6MlSYsXL9Yjjzxi929mz9mzZ1WqVClNmzZNPXr0yPF6uXLlnDoOW1lZWZo0aZJpXrcmTZpo4cKFOUaK+fj46Pbbb1e7du00dOhQ/fLLL8ZrL730kn788UeVK1fOoXqL+rhyc73/PvHEE3rppZdyvHfly5fXyJEjJV0L+l03depURUdHy8fHR9OnT7fb5mrVqumDDz7QU089ZfxtUlNTtXLlSg0cONDlxwIAQF54rBIAAMAJ69at08yZM015NWvWVJs2bYx0UlKS/vWvf5nKvPXWW/kGecaNG6fOnTsb6czMTM2fP99u2aNHj5rSjz32mCPNlySVKVNGtWrVcri8s9auXWtavfORRx7RyJEj8320MyQkRDNnzpS39/8uUb/44gun6n7qqafsBmNcYcuWLabj8vX11Zw5c3IExrIrU6aMZs2aZRpdFx8fr5UrVzpVd1EeV15atWqlF198Mc/3bujQoaa/wdGjR5WVlaWhQ4fm2WYfHx+NHTvWlPfzzz8Xus0AADiL4BgAAEAeMjIylJCQoJ9//lkTJkzQiBEjcqwIOXbsWNPk+StXrtTly5eNdOvWrXXPPfc4VN+kSZNM6e+++04XL17MUc52Pi5HVvorLgsWLDD+7+vrqwkTJji8bePGjU0rJv7000/KyMhwaFtfX189/fTTjjfUSUuXLjWlBwwYoBo1auS7nb+/vzHC6rolS5Y4XG9RH1deRo0aZQpW2lO2bFnddtttpjw/Pz8NGTIk3/23atXK9Bhl9hVgAQAoLgTHAAAA/t+TTz6pxo0bm/41a9ZMHTp00JAhQ7Rq1SpjbqXrBg0apF69epnyfvvtN1P6wQcfdLgN9evXV6tWrYx0enq6du/enaOc7UT+9uYRKwnnz583TcLetWtXBQYGOrWP7IGWS5cuORww6dKliypUqOBUXc7Yvn27Ke3M+9qzZ0/TY5SRkZGmAGpeivq4chMQEODw45oNGzY0pTt27Ch/f3+nt01ISHB6IQYAAAqL4BgAAEAB+Pn5acqUKTlGekkyBYeknPOR5adDhw6m9J49e3KUad++vXx8fIz0/Pnz9eqrr+ZYGbO47dixwxRAvPnmm53eh+1orMOHDzu0XfbJ4l0tJibGWCxAkkJDQ1W7dm2Ht69QoYLpb5GRkZFjUYfcFOVx5aVZs2YOr3Jqu1qro/PE2ds2OTnZ4W0BAHAF9xl/DwAA4ObKli2rZs2a6a677tIDDzyg4ODgHGWysrJ06tQpI12hQoUcK1nmp0mTJqb0yZMnc5SpXr26HnzwQdPjeYsWLdKiRYsUFhamjh07qm3btrrllltyBB+K0pEjR0zp999/X++//36h9pl9xc+8OPt3dobte9CoUSOn99GkSRPT6DN776s9RXlcebHXv3Pj6+vrsm1tF7sAAKCoERwDAAD4fxMnTswRmPL29lb58uUVEBCg0NDQfOf2unjxojIzM410QQJTQUFBpnRSUpLdci+//LLi4+O1fv16U35kZKQiIyP16aefysvLS02aNFHnzp3Vq1evHI+/udr58+ddvk97c67ZU5SPHtq+B7bvkSMcfV9tlcQjldK1YHBJbGv76DIAAEWN4BgAAMD/CwsLU7t27Qq1j0uXLpnSfn5+Tu/DdiRNSkqK3XJly5bVnDlztHr1an322WeKiorKUSYrK0tRUVGKiorSJ598oq5du+rFF19UnTp1nG6XIxwNZDnD0WBJUS5KYPseFOX7asudFlsAAOBGxDctAACAC9kGTWyDZY6wnai9fPnyuZb18vJSz5491bNnT/3555/asmWLfv31V+3YscPuKK4NGzbot99+09y5cxUeHu502/KTfdJ56dqKjl27di3UPmvVqlWo7V3B9j0o6vcVAAAUH4JjAAAALuTv7y9vb2/j0crExESn92Eb1AoICHBouwYNGqhBgwYaMGCAsrKydOTIEW3evFlr167Vjh07jHIpKSkaPXq0/vOf/7g8QGP76GCVKlUcXvHQndm+B8X5vsI1HF0dFABgPaxWCQAA4EJeXl6qXr26kU5OTlZMTIxT+zhw4IApbbt6o6PtqF+/vgYMGKCvvvpK//znP02Bq3PnzmnFihVO7zc/tpPHHz9+3OV1lATb9+CPP/5weh+272toaGih2mRF2ecyc3bi/qKYDw8AcGMgOAYAAOBit9xyiyn9yy+/OLW9bfmWLVsWtkkKDw/XhAkTTHnZR5Nl5+1tvkR0ZoL09u3bm9LOHru7qlmzpipXrmykY2NjdeLECYe3T05O1u+//26kS5UqpZtvvtmlbbSC7IsTJCUlKT093eFt9+3bVxRNAgDcAAiOAQAAuFjbtm1N6W+++cbhbY8cOaKdO3ca6TJlyuQIthVU69atTencHg20nTjemRE6ISEhatSokZE+fvy4Nm7c6Hgj3Zjt+7p8+XKHt129erXp73jzzTfn+Dsjf9lH8KWnp+vQoUMObXfw4EGHywIArIfgGAAAgIv17NnTNDH/9u3b9eOPPzq07bvvvmtK33vvvfL393dJuxyd8yowMNCUdvax0MGDB5vSb7/9dpGsYlncHnroIVN6/vz5iouLy3e75ORkRURE5LkvOCYsLMyU/u677xzabsaMGUXRHADADYLgGAAAgIsFBATowQcfNOW9+OKLOeacsjVz5kxt2LDBSHt7e2vgwIF2y37wwQdasWKFrl696lCbsrKyNG/ePFOebaDhuoYNG5rS69atc+rxtV69epn2ER0draFDh+r06dMO7yM9PV3ffPON5s6d6/A2Ra1jx45q3Lixkb506ZJGjBiRZ+AvLS1NY8aMUXx8vJFXpUoV9erVq0jbeqPq3LmzKf3ll18qOjo6z20++OADrVu3rghbBQDwdATHAAAAisDYsWNNE65fuHBB/fr10xdffKELFy6Yyh48eFCjRo3S7NmzTfmDBw9Ws2bN7O7/4MGDev7559W5c2dNmTJFmzZtsjvheGZmprZv366nnnrKNHrN19c31wBNpUqV1KRJEyMdHR2tRx55RAsWLND69eu1detW078rV66Ytvfx8dHMmTNNI9527dqlXr16aebMmTp69Kjdes+ePav169dr8uTJ6ty5syZNmqQjR47YLVsSvLy89M4776h06dJGXmRkpHr37q21a9cqLS3NyM/MzNSWLVv04IMPavPmzab9vP3226aJ5eG4Jk2aqEWLFkb60qVLevLJJ/Xjjz8qIyPDyM/KytLu3bs1ZMgQzZkzR5JUu3btYm8vAMAzlCrpBgAAANyIKlSooA8//FCDBw82gmGXLl3Su+++q+nTpys0NFQVKlRQfHy83RFVt99+u0aPHp1vPefOndPixYu1ePFiSddGJQUFBcnPz0+XLl1STEyMLl26lGO7iRMnKiQkJNf9Dho0SBMnTjTSkZGRioyMtFv2p59+yrFK5U033aRZs2Zp9OjRxvFfuHBBs2fP1uzZsxUUFKQqVarI19dXycnJOn/+vBISEvI93pIWFhamyZMna8qUKcrMzJR0bXL+0aNHq3z58goNDZWPj49OnjyZIwgqSaNGjcox+gnOeeWVV/Too48awbDTp0/r2WefVUBAgGrVqqXMzEydOnXKNKdez549VbduXc2aNauEWg0AcGeMHAMAACgizZs315dffqlatWqZ8tPT0xUdHa3ff//dbmCsb9++mjNnjsqUKeN0nfHx8Tp48KB2796tgwcP5giMlStXTq+99pr69euX53769OmjIUOGyMvLy+k2XNe+fXstW7ZMzZs3z/Ha+fPndfDgQe3Zs0eHDx+2Gxjz8vJStWrVClx/UXn44Yc1bdo0lS9f3pSfkpKigwcPKioqKkdgrEyZMpo8ebJGjhxZnE29IbVo0UJvvvmmfHx8TPlJSUmKjIxUVFRUjsDYO++8U8ytBAB4EkaOAQAAFKFGjRppzZo1WrhwoRYtWqQTJ07YLVeqVCm1bdtWI0eOVHh4eL77ffPNN9W9e3dt3LhRO3bs0NmzZ/MsX7FiRfXo0UPDhg0zPe6Zl7/97W/q1auXVqxYoT179ig6OlrJyck5HqPMS+3atbVs2TKtW7dOCxYs0I4dO/Kcv8zHx0ctWrTQ7bffrvvvvz9HYNFd3HfffWrXrp1mz56t1atX57ryZ/ny5XXXXXdp1KhROUbXoeD69u2runXr6r333tOuXbvslqldu7ZGjhyp3r17F3PrAACexisrKyurpBsBAABgFYcPH1ZUVJTOnTun1NRUVaxYUSEhIWrTpk2hVqU8ceKEjh49qpMnT+rixYtKT0+Xn5+fgoOD1ahRIzVo0EClSpX876KXL1/W7t27FRcXp8TERKWmpsrPz09BQUGqV6+e6tevb1rp0xNkZGRo7969OnbsmM6dO6fMzEwFBwerVq1aatWqlWmOMrhebGysESC+cuWKKlWqpGbNmiksLKxQIx8BANZBcAwAAAAAAACWxZxjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALAsgmMAAAAAAACwLIJjAAAAAAAAsCyCYwAAAAAAALCs/wOFlWfF291sxAAAAABJRU5ErkJggg==",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 611,
       "width": 611
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_idx = np.arange(n_models, dtype=\"int\")\n",
    "axes = az.plot_forest(idatas, var_names=[\"mu\"], combined=True, figsize=(6, 6), legend=False)\n",
    "\n",
    "ax = axes[0]\n",
    "y_vals = np.stack([ax.get_lines()[i].get_ydata() for i in np.arange(n_models)]).ravel()\n",
    "ax.scatter(true_mu, y_vals[::-1], marker=\"^\", color=\"k\", zorder=100, label=\"True Value\")\n",
    "ax.set(yticklabels=[f\"Model {i+1}\" for i in model_idx[::-1]], xlabel=\"Posterior mu\")\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Applied Example: Using Data containers as input to a binomial GLM\n",
    "\n",
    "A common task in machine learning is to predict values for unseen data, and the `Data` container variable is exactly what we need to do this. \n",
    "\n",
    "One small detail to pay attention to in this case is that the shapes of the input data (`x`) and output data (`obs`) must be the same. When we make out-of-sample predictions, we typically change only the input data, the shape of which may not be the same as the training observations. Naively changing only one will result in a shape error. There are two solutions:\n",
    "\n",
    "1. Use a {class}`pymc.Data` for the `x` data and the `y` data, and use `pm.set_data` to change `y` to something of the same shape as the test inputs. \n",
    "2. Tell PyMC that the shape of the `obs` should always be the shape of the input data.\n",
    "\n",
    "In the next model, we use option 2. This way, we don't need to pass dummy data to `y` every time we want to change `x`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_obs = 100\n",
    "true_beta = 1.5\n",
    "true_alpha = 0.25\n",
    "\n",
    "x = rng.normal(size=n_obs)\n",
    "true_p = 1 / (1 + np.exp(-(true_alpha + true_beta * x)))\n",
    "y = rng.binomial(n=1, p=true_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [alpha, beta]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "beda8d556d9e41fda3df719d3011672f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
      "Sampling: [obs]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7460d50c058549a48f9d076aa6d17eab",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pm.Model() as logistic_model:\n",
    "    x_data = pm.Data(\"x\", x)\n",
    "    y_data = pm.Data(\"y\", y)\n",
    "\n",
    "    alpha = pm.Normal(\"alpha\")\n",
    "    beta = pm.Normal(\"beta\")\n",
    "\n",
    "    p = pm.Deterministic(\"p\", pm.math.sigmoid(alpha + beta * x_data))\n",
    "\n",
    "    # Here is were we link the shapes of the inputs (x_data) and the observed varaiable\n",
    "    # It will be the shape we tell it, rather than the (constant!) shape of y_data\n",
    "    obs = pm.Bernoulli(\"obs\", p=p, observed=y_data, shape=x_data.shape[0])\n",
    "\n",
    "    # fit the model\n",
    "    idata = pm.sample(random_seed=RANDOM_SEED)\n",
    "\n",
    "    # Generate a counterfactual dataset using our model\n",
    "    idata = pm.sample_posterior_predictive(\n",
    "        idata, extend_inferencedata=True, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A common post-estimation diagonstic is to look at a posterior predictive plot, using {func}`arviz.plot_ppc`. This shows the distribution of data sampled from your model along side the observed data. If they look similar, we have some evidence that the model isn't so bad.\n",
    "\n",
    "In this case, however, it can be difficult to interpret a posterior predictive plot. Since we're doing a logistic regression, observed values can only be zero or one. As a result, the posterior predictive graph has this tetris-block shape. What are we to make of it? Evidently our model produces more 1's than 0's, and the mean proportion matches the data. But there's also a lot of uncertainty in that proportion. What else can we say about the model's performance?  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       ""
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 491,
       "width": 731
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_ppc(idata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another graph we could make to see how our model is doing is to look at how the latent variable `p` evolves over the space of covariates. We expect some relationship between the covariate and the data, and our model encodes that relationship in the variable `p`. In this model, the only covariate is `x`. If the relationship between `x` and `y` is positive, we expect low `p` and lots of observed zeros where `x` is small, and high `p` and lots of observed ones where it is large.  \n",
    "\n",
    "That's nice and all, but for plotting `x` is all jumbled up. Admittedly, we could just sort the values. But another way (that shows off how to use our `Data`!) is to pass an evenly spaced grid of `x` values into our model. This corresponds to making a preditiction for `p` at every point on the grid, which will give us a nice plottable result. This is also how we could do interpolation or extrapolation using our model, so it's a very nice technique to know.\n",
    "\n",
    "In the next code block, we swap out the (randomly shuffled) values of `x` for an evenly-spaced grid of values that spans the range of observed `x`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling: [obs]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4c758251e8174babb5e1f8128ed902b2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_size = 250\n",
    "x_grid = np.linspace(x.min(), x.max(), grid_size)\n",
    "with logistic_model:\n",
    "    # Switch out the observations and use `sample_posterior_predictive` to predict\n",
    "    # We do not need to set data for the outputs because we told the model to always link the shape of the output to the shape\n",
    "    # of the input.\n",
    "    pm.set_data({\"x\": x_grid})\n",
    "    post_idata = pm.sample_posterior_predictive(\n",
    "        idata, var_names=[\"p\", \"obs\"], random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the new `post_idata`, which holds the out-of-sample \"predictions\" for `p`, we make the plot of `x_grid` against `p`. We also plot the observed data. We can see that the model expects low probability (`p`) where `x` is small, and that the probability changes very gradually with `x`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 491,
       "width": 731
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "hdi = az.hdi(post_idata.posterior_predictive.p).p\n",
    "\n",
    "ax.scatter(x, y, facecolor=\"none\", edgecolor=\"k\", label=\"Observed Data\")\n",
    "p_mean = post_idata.posterior_predictive.p.mean(dim=[\"chain\", \"draw\"])\n",
    "ax.plot(x_grid, p_mean, color=\"tab:red\", label=\"Mean Posterior Probability\")\n",
    "ax.fill_between(x_grid, *hdi.values.T, color=\"tab:orange\", alpha=0.25, label=\"94% HDI\")\n",
    "ax.legend()\n",
    "ax.set(ylabel=\"Probability of $y=1$\", xlabel=\"x value\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same concept applied to a more complex model can be seen in the notebook {ref}`bayesian_neural_network_advi`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Applied example: height of toddlers as a function of age"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example is taken from Osvaldo Martin's book: [Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC and ArviZ, 2nd Edition](https://www.amazon.com/Bayesian-Analysis-Python-Introduction-probabilistic-ebook/dp/B07HHBCR9G) {cite:p}`martin2018bayesian`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The World Health Organization and other health institutions around the world collect data\n",
    "for newborns and toddlers and design [growth charts standards](http://www.who.int/childgrowth/en/). These charts are an essential component of the pediatric toolkit and also as a measure of the general well-being of\n",
    "populations in order to formulate health policies, and plan interventions and\n",
    "monitor their effectiveness.\n",
    "\n",
    "An example of such data is the lengths (heights) of newborn / toddler girls as a function of age (in months):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 491,
       "width": 731
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "try:\n",
    "    data = pd.read_csv(\"../data/babies.csv\")\n",
    "except FileNotFoundError:\n",
    "    data = pd.read_csv(pm.get_data(\"babies.csv\"))\n",
    "data.plot.scatter(\"Month\", \"Length\", alpha=0.4);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To model this data, we will need to mutate the `coords` because the index of the data needs to be changed according to the indexes of the testing dataset. Luckily, `coords` are always mutable, so we can mutate it during out-of-sample prediction.\n",
    "\n",
    "In the example, we will be updating the coordinates of `obs_idx` to reflect the indexes of the testing dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [mean_params, sigma_params]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0cffc2921c74e43b248d46529fdf95e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
     ]
    }
   ],
   "source": [
    "with pm.Model(\n",
    "    coords={\"obs_idx\": np.arange(len(data)), \"parameter\": [\"intercept\", \"slope\"]}\n",
    ") as model_babies:\n",
    "    mean_params = pm.Normal(\"mean_params\", sigma=10, dims=[\"parameter\"])\n",
    "    sigma_params = pm.Normal(\"sigma_params\", sigma=10, dims=[\"parameter\"])\n",
    "    month = pm.Data(\"month\", data.Month.values.astype(float), dims=[\"obs_idx\"])\n",
    "\n",
    "    mu = pm.Deterministic(\"mu\", mean_params[0] + mean_params[1] * month**0.5, dims=[\"obs_idx\"])\n",
    "    sigma = pm.Deterministic(\"sigma\", sigma_params[0] + sigma_params[1] * month, dims=[\"obs_idx\"])\n",
    "\n",
    "    length = pm.Normal(\"length\", mu=mu, sigma=sigma, observed=data.Length, dims=[\"obs_idx\"])\n",
    "\n",
    "    idata_babies = pm.sample(random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following figure shows the result of our model. The expected length, $\\mu$, is represented with a blue curve, and two semi-transparent orange bands represent the 60% and 94% highest posterior density intervals of posterior predictive length measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling: [length]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7fdbc78514004bd69c2763c5e3355f03",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with model_babies:\n",
    "    pm.sample_posterior_predictive(idata_babies, extend_inferencedata=True, random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 491,
       "width": 731
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = az.plot_hdi(\n",
    "    data.Month,\n",
    "    idata_babies.posterior_predictive[\"length\"],\n",
    "    hdi_prob=0.6,\n",
    "    fill_kwargs={\"color\": \"tab:orange\", \"alpha\": 0.8},\n",
    ")\n",
    "ax.plot(\n",
    "    data.Month,\n",
    "    idata_babies.posterior[\"mu\"].mean((\"chain\", \"draw\")),\n",
    "    label=\"Posterior predictive mean\",\n",
    ")\n",
    "ax = az.plot_lm(\n",
    "    idata=idata_babies,\n",
    "    y=\"length\",\n",
    "    x=\"month\",\n",
    "    kind_pp=\"hdi\",\n",
    "    y_kwargs={\"color\": \"k\", \"ms\": 6, \"alpha\": 0.15},\n",
    "    y_hat_fill_kwargs=dict(fill_kwargs={\"color\": \"tab:orange\", \"alpha\": 0.4}),\n",
    "    axes=ax,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At the moment of writing Osvaldo's daughter is two weeks ($\\approx 0.5$ months) old, and thus he wonders how her length compares to the growth chart we have just created. One way to answer this question is to ask the model for the distribution of the variable length for babies of 0.5 months. Using PyMC we can ask this questions with the function `sample_posterior_predictive` , as this will return samples of _Length_ conditioned on the obseved data and the estimated distribution of parameters, that is including uncertainties. \n",
    "\n",
    "The only problem is that by default this function will return predictions for _Length_ for the observed values of _Month_, and $0.5$ months (the value Osvaldo cares about) has not been observed, -- all measures are reported for integer months. The easier way to get predictions for non-observed values of _Month_ is to pass new values to the `Data` container we defined above in our model. To do that, we need to use `pm.set_data` and then we just have to sample from the posterior predictve distribution. We will also have to set `coords` for these new observations, which we are allowed to do in the `pm.set_data` function because we have set the `obs_idx` coord as mutable. \n",
    "\n",
    "Note that the actual value we pass for `obs_idx` is totally irrevelant *in this case*, so we give it a value of 0. What is important is that we update it to have the same length as the ages we want to do out-of-sample prediction for, and that each age has a unique index identifier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling: [length]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec062c261e55413c93e0f7e43d88e6e3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "
\n",
       "
\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ages_to_check = [0.5]\n",
    "with model_babies:\n",
    "    pm.set_data({\"month\": ages_to_check}, coords={\"obs_idx\": [0]})\n",
    "\n",
    "    # Setting predictions=True will add a new \"predictions\" group to our idata. This lets us store the posterior,\n",
    "    # posterior_predictive, and predictions all in the same object.\n",
    "    idata_babies = pm.sample_posterior_predictive(\n",
    "        idata_babies, extend_inferencedata=True, predictions=True, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot the expected distribution of lengths for 2-week old babies and compute additional quantities -- for example the percentile of a child given her length. Here, let's imagine that the child we're interested in has a length of 51.5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 491,
       "width": 731
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ref_length = 51.5\n",
    "\n",
    "az.plot_posterior(\n",
    "    idata_babies,\n",
    "    group=\"predictions\",\n",
    "    ref_val={\"length\": [{\"ref_val\": ref_length}]},\n",
    "    labeller=az.labels.DimCoordLabeller(),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authors\n",
    "* Authored by [Juan Martin Loyola](https://github.com/jmloyola) in March, 2019 ([pymc#3389](https://github.com/pymc-devs/pymc/pull/3389))\n",
    "* Updated by [Kavya Jaiswal](https://github.com/KavyaJaiswal) and [Oriol Abril](https://github.com/OriolAbril) in December, 2021 ([pymc-examples#151](https://github.com/pymc-devs/pymc-examples/pull/151))\n",
    "* Updated by [Jesse Grabowski](https://github.com/jessegrabowski) in July 2023 ([pymc-examples#559](https://github.com/pymc-devs/pymc-examples/pull/559))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    ":::{bibliography}\n",
    ":filter: docname in docnames\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Sun Jul 28 2024\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.12.4\n",
      "IPython version      : 8.26.0\n",
      "\n",
      "pytensor: 2.25.2\n",
      "xarray  : 2024.6.0\n",
      "\n",
      "arviz     : 0.19.0\n",
      "numpy     : 1.26.4\n",
      "pymc      : 5.16.2\n",
      "matplotlib: 3.9.1\n",
      "pandas    : 2.2.2\n",
      "\n",
      "Watermark: 2.4.3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p pytensor,xarray"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ":::{include} ../page_footer.md\n",
    ":::"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}