{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d68537ba",
   "metadata": {},
   "source": [
    "(BART_introduction)=\n",
    "# Bayesian Additive Regression Trees: Introduction\n",
    ":::{post} Dec 21, 2021\n",
    ":tags: BART, nonparametric, regression \n",
    ":category: intermediate, explanation\n",
    ":author: Osvaldo Martin\n",
    ":::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7c087cca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on PyMC v5.26.1\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import arviz as azl\n",
    "import arviz.preview as az\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc as pm\n",
    "import pymc_bart as pmb\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "%config InlineBackend.figure_format = \"retina\"\n",
    "\n",
    "print(f\"Running on PyMC v{pm.__version__}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "25cf7b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "RANDOM_SEED = 5781\n",
    "np.random.seed(RANDOM_SEED)\n",
    "az.style.use(\"arviz-variat\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "444df604",
   "metadata": {},
   "source": [
    "## BART overview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86f379df",
   "metadata": {},
   "source": [
    "Bayesian additive regression trees (BART) is a non-parametric regression approach. If we have some covariates $X$ and we want to use them to model $Y$, a BART model (omitting the priors) can be represented as:\n",
    "\n",
    "$$Y = f(X) + \\epsilon$$\n",
    "\n",
    "where we use a sum of $m$ [regression trees](https://en.wikipedia.org/wiki/Decision_tree_learning) to model $f$, and $\\epsilon$ is some noise. In the most typical examples $\\epsilon$ is normally distributed, $\\mathcal{N}(0, \\sigma)$. So we can also write:\n",
    "\n",
    "$$Y \\sim \\mathcal{N}(\\mu=BART(X), \\sigma)$$\n",
    "\n",
    "In principle nothing restricts us to use a sum of trees to model other relationship. For example we may have:\n",
    "\n",
    "$$Y \\sim \\text{Poisson}(\\mu=BART(X))$$\n",
    "\n",
    "One of the reason BART is Bayesian is the use of priors over the regression trees. The priors are defined in such a way that they favor shallow trees with leaf values close to zero. A key idea is that a single BART-tree is not very good at fitting the data but when we sum many of these trees we get a good and flexible approximation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e239c2c0",
   "metadata": {},
   "source": [
    "## Coal mining with BART\n",
    "\n",
    "To better understand BART in practice we are going to use the oldie but goldie coal mining disaster dataset. One of the classic examples in PyMC. Instead of thinking this problem as a switch-point model with two Poisson distribution, as in the original PyMC example. We are going to think this problem as a non-parametric regression with a Poisson response (this is usually discussed in terms of [Poisson processes](https://en.wikipedia.org/wiki/Poisson_point_process) or [Cox processes](https://en.wikipedia.org/wiki/Cox_process), but we are OK without going into those technicalities). For a similar example but with Gaussian processes see [1](https://github.com/aloctavodia/BAP/blob/master/code/Chp7/07_Gaussian%20process.ipynb) or [2](https://research.cs.aalto.fi/pml/software/gpstuff/demo_lgcp.shtml). Because our data is just a single column with dates, we need to do some pre-processing. We are going to discretize the data, just as if we were building a histogram. We are going to use the centers of the bins as the variable $X$ and the counts per bin as the variable $Y$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "85bdba1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    coal = np.loadtxt(Path(\"..\", \"data\", \"coal.csv\"))\n",
    "except FileNotFoundError:\n",
    "    coal = np.loadtxt(pm.get_data(\"coal.csv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5d1221b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# discretize data\n",
    "years = int(coal.max() - coal.min())\n",
    "bins = years // 4\n",
    "hist, x_edges = np.histogram(coal, bins=bins)\n",
    "# compute the location of the centers of the discretized data\n",
    "x_centers = x_edges[:-1] + (x_edges[1] - x_edges[0]) / 2\n",
    "# xdata needs to be 2D for BART\n",
    "x_data = x_centers[:, None]\n",
    "# express data as the rate number of disaster per year\n",
    "y_data = hist"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98e0da5c",
   "metadata": {},
   "source": [
    "In PyMC a BART variable can be defined very similar to other random variables. One important difference is that we have to pass ours Xs and Ys to the BART variable, this information is used when sampling trees, the prior over the sum of trees is so huge that without any information from our data this will be an impossible task. \n",
    "\n",
    "Here we are also making explicit that we are going to use a sum over 20 trees (`m=20`). Low number of trees like 20 could be good enough for simple models like this and could also work very good as a quick approximation for more complex models in particular during the early stage of modeling, when we may want to try a few things as quickly as possible in order to better grasp which model may be a good idea for our problem. In those cases once we have more certainty about the model(s) we really like we can improve the approximation by increasing `m`, in the literature is common to find reports of good results with numbers like 50, 100 or 200."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6ac663f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "PGBART: [μ_]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6abcaedab42342dbaf37636108a4299f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "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 17 seconds.\n",
      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as model_coal:\n",
    "    μ_ = pmb.BART(\"μ_\", X=x_data, Y=np.log(y_data), m=20)\n",
    "    μ = pm.Deterministic(\"μ\", pm.math.exp(μ_))\n",
    "    y_pred = pm.Poisson(\"y_pred\", mu=μ, observed=y_data)\n",
    "    idata_coal = pm.sample(random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7eb4c307",
   "metadata": {},
   "source": [
    "Before checking the result, we need to discuss one more detail, the BART variable always samples over the real line, meaning that in principle we can get values that go from $-\\infty$ to $\\infty$. Thus, we may need to transform their values as we would do for standard Generalized Linear Models, for example in the `model_coal` we computed `pm.math.exp(μ_)` because the Poisson distribution is expecting values that go from 0 to $\\infty$. This is business as usual, the novelty is that we may need to apply the inverse transformation to the values of `Y`, as we did in the previous model where we took $\\log(Y)$. The main reason to do this is that the values of `Y` are used to get a reasonable initial value for the sum of trees and also the variance of the leaf nodes. Thus, applying the inverse transformation is a simple way to improve the efficiency and accuracy of the result. Should we do this for every possible likelihood? Well, no. If we are using BART for the location parameter of distributions like Normal, StudentT, or AsymmetricLaplace, we don't need to do anything as the support of these parameters is also the real line. A nontrivial exception is the Bernoulli likelihood (or Binomial with n=1), in that case, we need to apply the logistic function to the BART variable, but there is no need to apply its inverse to transform `Y`, PyMC-BART already takes care of that particular case.\n",
    "\n",
    "OK, now let's see the result of `model_coal`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f9e418f2",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1223,
       "width": 2023
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rates = idata_coal.posterior[\"μ\"] / 4\n",
    "dt_plot = az.from_dict(\n",
    "    {\n",
    "        \"posterior\": {\"rate\": rates},\n",
    "        \"observed_data\": {\"rate\": y_data / 4},\n",
    "        \"constant_data\": {\"years\": x_centers},\n",
    "    },\n",
    "    dims={\"rate\": [\"x_dim_0\"], \"years\": [\"x_dim_0\"]},\n",
    ")\n",
    "\n",
    "az.plot_lm(\n",
    "    dt_plot,\n",
    "    group=\"posterior\",\n",
    "    x=\"years\",\n",
    "    y=\"rate\",\n",
    "    visuals={\"observed_scatter\": {\"alpha\": 0.75}},\n",
    "    figure_kwargs={\"figsize\": (10, 6)},\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f778de",
   "metadata": {},
   "source": [
    "The white line in the following plot shows the median rate of accidents. The darker orange band represents the HDI 50% and the lighter one the 94%. We can see a rapid decrease in coal accidents between 1880 and 1900. Feel free to compare these results with those in the original {ref}`pymc:pymc_overview` example.\n",
    "\n",
    "In the previous plot, the white line is the mean over 4000 posterior draws, and each one of those posterior draws is a sum over `m=20` trees. \n",
    "\n",
    "\n",
    "The following figure shows two samples from the posterior of $\\mu$. We can see that these functions are not smooth. This is fine and is a direct consequence of using regression trees. Trees can be seen as a way to represent stepwise functions, and a sum of stepwise functions is just another stepwise function. Thus, when using BART we need to know that we are assuming that a stepwise function is a good enough approximation for our problem. In practice, this is often the case because we sum over many trees, usually values like 50, 100, or 200.\n",
    "Additionally, we often average over the posterior distribution. All this makes the \"steps smoother\", even when we never really have a smooth function for example with Gaussian processes or splines. A nice theoretical result, tells us that in the limit of $m \\to \\infty$ the BART prior converges to a [nowheredifferentiable](https://en.wikipedia.org/wiki/Weierstrass_function) Gaussian process.\n",
    "\n",
    "The following figure shows two samples of $\\mu$ from the posterior."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0c982c16",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1023,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.step(x_data, rates.sel(chain=0, draw=[3, 10]).T);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7d04e15",
   "metadata": {},
   "source": [
    "## Biking with BART"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abf8c799-b89e-48dc-a1c9-8366325a530a",
   "metadata": {},
   "source": [
    "To explore other features offered by PyMC-BART. We are now going to move on to a different example. In this example, we have data about the  number of bike rentals in a city, and we have chosen four covariates; the `hour` of the day, the `temperature`, the `humidity`, and whether is a `workingday` or a weekend. This dataset is a subset of the [bike_sharing_dataset](http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "099f4c0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    bikes = pd.read_csv(Path(\"..\", \"data\", \"bikes.csv\"))\n",
    "except FileNotFoundError:\n",
    "    bikes = pd.read_csv(pm.get_data(\"bikes.csv\"))\n",
    "\n",
    "features = [\"hour\", \"temperature\", \"humidity\", \"workingday\"]\n",
    "\n",
    "X = bikes[features]\n",
    "Y = bikes[\"count\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5f8410b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">NUTS: [α]\n",
      ">PGBART: [μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dfebc99453354105bd12a630c79f18a3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 4 chains for 500 tune and 2_000 draw iterations (2_000 + 8_000 draws total) took 72 seconds.\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as model_bikes:\n",
    "    α = pm.Exponential(\"α\", 1)\n",
    "    μ = pmb.BART(\"μ\", X, np.log(Y), m=50)\n",
    "    y = pm.NegativeBinomial(\"y\", mu=pm.math.exp(μ), alpha=α, observed=Y)\n",
    "    idata_bikes = pm.sample(\n",
    "        tune=500, draws=2000, compute_convergence_checks=False, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "731a0cb6",
   "metadata": {},
   "source": [
    "### Convergence diagnostics\n",
    "\n",
    "To check sampling convergence of BART models we recommend a 2 step approach. \n",
    "\n",
    "* For the non-BART variables (like $\\alpha$ in `model_bikes`) we follow the standard recommendations, like checking R-hat (<= 1.01), and ESS (< 100x number of chains) numerical diagnostics as well as using trace plots or even better rankplots\n",
    "* For the BART variables we recommend using the `az.plot_convergence_dist` function. \n",
    "\n",
    "We can see such checks next:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7c3ac760",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2400x535.887 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 2423
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_rank_dist(idata_bikes, var_names=[\"α\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3133cd58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3600x535.887 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 3623
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_convergence_dist(idata_bikes, var_names=\"μ\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c00e08cf",
   "metadata": {},
   "source": [
    "In the BART literature, the diagnostics of the BART variables is sometimes considered less important than the diagnostics of the non-BART variables, the main argument is that the individual estimates of the latent variables are of no direct interest, and instead we should only care about how well we are estimating the whole function/regression.\n",
    "\n",
    "We instead consider checking the convergence of BART variables an important part of the Bayesian workflow. The main reason to use `az.plot_convergence_dist` is that usually the BART variable will be a large vector (we estimate a distribution per observation) and thus we will need to check many diagnostics. Additionally, the R-hat threshold of 1.01 is not a hard threshold, this value was chosen assuming one or a few R-hats are examined (and chains are long enough to accurately estimate their autocorrelation), and if we observed many R-hats a few of them are expected to be larger than the 1.01 threshold (or whatever threshold we pick) even if there is nothing wrong with our inference. So, how to read its output? We have three panels two for ESS (bulk and tail) and one for the R-hat. The continuous line is the empirical cumulative distribution for those values, for the ESS we want the entire curve above the dashed line, and for R-hat we want the curve to be entirely below the dashed line. In the previous figure, we can see that the ESS panels are ok but for the R-hat we have a few values above the threshold. Are our results useless? Most likely not. But to be sure we may want to take a few more draws.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5daefd3e",
   "metadata": {},
   "source": [
    "### Partial dependence plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99fd44df",
   "metadata": {},
   "source": [
    "To help us interpret the results of our model we are going to use partial dependence plots. This is a type of plot that shows the marginal effect that one covariate has on the predicted variable. That is, what is the effect that a covariate $X_i$ has of $Y$ while we average over all the other covariates ($X_j, \\forall j \\not = i$). This type of plot is not exclusive to BART. But they are often used in the BART literature. PyMC-BART provides a utility function to make this plot from a BART random variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9bb3955d-98d6-40b0-ab1c-10082459f72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ec4/oLfeI3jpUv48SIVwIAAAAh5SkVjmw2nK5L9u7CtKdSiOiUE6jEGlEXY4iiZjXWnll/l01AAAAAAAceoQLAQAAgBUxXS7HdKk8ExycK42IYjmNYl3ocHR6ZdqgAMCB9mA5G7eW87E/MjGdJtGXpLEuyvHITCEOa1PVEAAAAGC5CBcCAAAAK2K6VI79hUpYsFalMJNUKxVWWzvnMs3bOwPAWlQol+Pq+x+Ofy6OxH1p82/ff6MUcWxSiCdmJ+OkzHRk/VEJAAAA9IhwIQAHxERJAzsAAFqrVSmMSGO67vjc0GFlDgCsPbfsHYt3fOfmuGN0Mhb61v2daT7uLObjiqQUL87tj+0qGQIAAAA9IFwIwAGxe3I6NqzQtd9w5fWxvi8X6/O5WNeXjfX5XKzvy8W6vlysqz6vjQ3nspE0ackHHLrSNI1yGlFK0yhXnxfLAtMAy2Egm43BbDZKaTrzMdfc0OFkSXgCgLXnBzv3xluuvinGi939OfdQmo2/L6yPc/P7Y0em2KPdAQAAAIcq4UIAem66VI7pUhqRWZnr/2z/RMdzM0nEunwuzs7sjUf0bkvAQeTt3705CuXKfapQLsd0w/M0CqVyzI0Svji3Px6bXZHtxiW33h+ZwcEYylUCOUO5bAzmMtXHbAzlMtXHbPRlEoFp4KCWyyQxlJ+9oaZpGqVqoLuUplEqtw4dAsBaccvesUUFC2umIhOfK6yL8/L7VDAEAAAAlpVwIQA9lySVj9WgnEbsnS7GeK4csULBIThUlNM0JovlGC2WKgHkFfKTh/av2LUX49/vfSh2pp19GZ9NIgZz2Xh6Zjx+rsf7AlgOSZJELonIReMXj/Whw+nsCv2LlYiYKJZiz1QhskkSuUwS2SSJbPURABajUC7HO75z86KDhTVTkYnPF9fFb+X3RNYfSwAAAMAySdLUP/8HWC1uuummuOCCCxqOvf3tb48TTjjhgO0hk8nE8PBw1+f94ZU/iR/u3NuDHS2s0xBOvfVRiv7kwP8RmU+SmMr1RV8uF0PVCmRDuWwM5bPV19UqZdlMDOQylVaCuUz0lUvRl5aiP5uJ/mw2+jNJ9GUzkTkAP+juG+iPXC7f1TnFYiGmJ6d6tKP28n35yPf1d3VOuVSKyYnOK2Aup2wuF/0DA12fNz462oPdNErTNCZL5ZgolWK8WIqJQjkmymmMZfIxVizFWKEYo4VS9Xlp3rHxQmmmIuCmKEVuBX7PRayue0RExO40G6Xo7vf2UJRjOOm8lXOSRKWFfL7SQr7WOn5DX37m9fq+bKzLV+5V7aojukf01sF8j2gmk8nEwNBQ1+dNjo9HeYXakQ+NjHR9ztTkZJSKK9OWcGBwMDLZ7v6FRGF6KgrThR7tqL2l3iPSNI1yVFvXV6scltOIUnR+j85ERDZJIkkickkSmbqPuVrdI5KIeWHDWgCxVCrF+Ph4V+9xueRyuRgcHOz6vP37VyZ4v9i/a4yNja3YPWLdunVdnzMxMRHFFbpHDA0NRbbLe8TU1FRMT0/3aEftDQwMRD7f3T2iUCjE5ORkj3bUXl9fX/T3d/d1xGq8R6wmq+H7KF+7a1f84X/esmzXe8epx8QvHr5hSWu4t/WWe1tv+fqn99wjess9orfcI3rPPaK33CN6yz2i99wjess9orcOhe+jtKJyIcAqNzQ0tKgvxA603z790fGab/1XPDS1Mj+47ta+yEYXP5NePmlETJcqH8ugP5NEfy2MmM3EQC4bA9lMDOYqIcTBbKYaSMxEXzYTfZlM9GeT6MtUXvdnM9E/87zxeGVuJnKZ7gOMuVw+ciPdfXG7kjLZ7KLCJStpof3WgoG10N94QwCw+roaABytPjbOK8ZEsbxsv00eXqnfc4u0YveIRRqPTIynXVT6SiMenIqIqWJEtP9Ley5JYmN/Ljb152PrQF9sHeyLrQPV5wN9sS1bjs2ZtKt7hXtE7622/S4mkLiSFhP4XEn5vv6uQ7UrqZN7RK3SYbEudFhM0ygv8O8rS9WPiIhMUgkdZpIkctWwYKbFvSyNiEI5jUKkswtEJXSYSZLI9g9UwoZ14cMD8Y9AFms1/P2i3mK+kb6SVts3Ifv7+7v+Ru9KyufzXX8jfSVls9lV93tutTvYvo/y+dvuX9b1/vXePXH2o45e1jU74d7WW+5tvbfa9uvrn95yj+gt94jec4/oLfeI3nKP6D33iN5yj+it1XiPWAuECwE4II4Y7o+/esZj45M33hP/fs9DMVVeRamcVWyqnMbUdDH29fAamSRmAoh9mUzkM0n1IxP5bPWx7liu+tiXmT/WOKfxWLN5c9fPJUnbCmqrTbGcxnS5HNOlckyX0yiUyjFVLkehnMZUqRxTpXJMlkoxUaw8nyiWKo+lckwWS9WqgnPGirOVBv02ZDkU0zR2TRZi12Qhbtnb/F+LJRGxqT8fWwbysW2gL7YM9sW2gXxsGeiLbQN9cdhgX2wayGsrCiybhvbKdf+4OK2GDEtpRLlce948dFhOo3o8jfpaqrUqhZlktkJhq9bIaVSqKpZKtVezauHFudUOs0msqa9nAGjt1r3j8aNdy1vl5Ie79sdt+8bj+PWr6x9nAAAAAAcn4UIADphjRgbijY/bEeeffGzctncsbt47Hjsnp2OyWI7RYin2ThViz3Qx9k4XYu90UfBplSinERPVENvBoGkIsRY+bBFW7KsLNdb/LD+paz3b8CP+ZP7TtFodqZSmUapWSJp93mIsTSsBwlp4sC5IOF0u+z3AmpFGxO6pQuyeah1AzCVJbBvsi+2DfXHYUH/lcbAvDh/qr4QP+/MHdZUvYHVIkiTySRL5iEWHDmtVCueGBZOIyDaEDmfDg83CgrXw4txqhxGV4GGtymFDiFHwEGBN+c4De3qy7rfv3yNcCAAAACwL4UIADrhcJolj1w3GlsG+iIgYyeeiP9vYrrOcpjFaKMXeathwz9Rs6HDvVDH2VJ/vmSrGvulC7CssTxthVr9COa3+wP/gCDsCnSmmadw3PhX3jU9FPDS/eksuk8RhA32xvS54uL0aPDx8qD829uUEboBF6zR02K69chqVqsNzQ4cRs2HBTCaJbMy2WG5VsbWcRkynaTT7lwb1FQ8zSRLZTONrAFaPnRPTPVl312Rv1gUAAAAOPcKFAByUMkkS6/tysb4vF8fEwILzi+U09heKsW+68lF7vr9QqjxOF2NfoXJ8f3XOaKEkfgawShTLadw7PhX3jk81He/LJHHYYF8cNtgf24f6YvtgfxxeDSJuH+qPdfms8CHQtXahw1IaTasSN9MqLNiq2mGmTVCwoeLh3P3OrDcngFh97T4IcHAZL/bmH0qO+QeYAAAAwDIRLgRgTchlktjUn49N/fmOzymnaYwVSrGvFkSsCyPuKxRjtFAJII4VSjPPR4ulGCsUo6RdLRz0kogYyGViMJuNwepjfzYTfdlKK+y+bKU9dl8mE/nasWrL7NpYpW12ptpWu9IoOzMT+oiZx7nVosppGmkaUa4GP8ppJYiSxmwQpdYKu1DXGrtYnm2LXShVx+rmTFVbkE8USzFe/ZgolpvESw490+U07h6birvHmocPB3OZauCwEjzcXhc8PHywLwZy2abnATSTJEnkkohcJPNCh+Va6LD2Ua4EEdMmd+uFqh3WAoGdBg9n16u9mr9mZiZ0GHXhQy2XAVbCUI++Bh3O+9oWAAAAWB7ChQAcsjJJEuv6crGuLxdHDXd+XpqmMVkqzwYPi01CiIVijBZL1eOVYxPF8kwYSBAIWsskESO5bAznczGcy8ZwvvJROzaUy8ZQLhODudnQ4EAuE0O5bAxkq8ezmejPZg6JkETtnlS7x9SChxOl2ddj1XB0LUQ9Wpit4LqvUKwLoqxdE8Vy/Gz/RPxs/0TT8Q19uZmwYWMIsS+2DfZFPpM5wDsGVqOkFgKM+X/+lNJ0prVyqVp9cKFqh5X2y+0rFGaS2VbLyQIhwdqaxRZfjTYLzteCh+1CjQAszrbBvp6su3WgN+sCAAAAhx7hQgDoUpIk1VBTNrYNdn9+LQhUCRpWHwuzVchmP8rzj1XnTVarlx0KgSBWn2wSM8HAkXy2LiCYqwYEZ4+N1AcIq48Dh0gocLnU35M2R+fVW2vSNI2pUjn2F0qxd7oYe6YK8fBUIfZMF+Ph2vOpQjw8VYw904UYXaMt1vZOF2PvdDFu3js+bywTEVsG8jPBw+11wcPDB/tj80Be4AZYUDZJIptN5t2pm1U7rL0utwgedlKhsL7KYTYqYcRaFcRWZgONzdetVfCtDxvOfe7PcIDOnXn4xvjQf93Rk3UBAADgYHXbvvF4+dd/3HbOxWedFsevHzpAO6Id4UIAOMDqg0BblrhWsZzGZKkSNpwslmeeT9SeF8vV16WZdqqVuZWqZpPFUkyXK8GiqVI5psvlSnvWUjmmBBcPWYO5TIzksjFUDfsN5WrBv9zMseG68VqAcKhaXfBQqRi4ViRJEgO5bAzksh1VTimUyjPBwz1ThXh4uhi7Jwvx0OR07Jqcjl2Thdg1Ob2mQojliNg5WYidk4W4NkbnjecySRw20DfTavnwof44bLAvDhusVD3c1C98CLTWrtrh3OBhfeiwVcXDiIWrHiZJRK5a6bAWPswkSWQy7cOHacRM5cVma0dUgo1JCCACdOL49UPx+K3r4ke79i/bmk/Yus4PXwAAAIBlI1wIAKtYLpPESCYXI90XK1tQmqYxXU6rQcNa6DCdeV4LI1Ye05ljhXIaxXLlsTDzWP+8k7HKc/nGzvRnquGwbKbyMdMeOBP92dkWwYN1c2ZCg9XHkerjYC7bNlQA+WwmtlVDc+1MFkszQcOZ0OHEdOycnI6HJguxc2I6xoprI4BYLKdx7/hU3Ds+1XQ8lySxdTAf2wYqv26HDfZXfg0HKgHErYN9MZDVdhmYr13wMKKu1XJElMtplGO25XK7qodpGjHdInwYMVv5MKm1SI6koV1yu3BguRo8bBdAnFsBMWlowxwLVlgEWEtefPzhyxoufPHxhy/bWgAAAADChQBAU0mSRH82if5sJtat0B5KadoQVpwuLRxMLM45Nj13frWddKs1alrlGut/Tp/WPUsiiWwmiVxSecxWfziey1R+UJ6r/pC8NparVgfKJUn0ZZLoy2Yin8lEfzaJfCYTfZlM9GWT6mNmZs7c4/3ZjB++c1AayGXj6JFsHD0y0HLORLEUOyem44GJ6XhwYioemJiOB8an4sHqsX3TxQO4494ppmncPz4d949Pt5yzvi8Xh82ED/vmhQ/X9+X8XgfmaWi1nG0cS+dUOmx4HtEyfBjRvvJhRF11wkw1HFirVBjJTCCyXQCxkwqItetk54QPMzFbBTFTDScCrGa/eNTm2DEyEHeMTi55rR0jA/HMozYvw64AAAAAKoQLAYCDVu0H5qGiF6xJg7lsHLtuMI5dN9h0fKJYqgQPx6eqAcRK+LAWRty/hlov75suxr7pYvx033jT8UwSsbEvH1sG8rGpPx+b+/OxeaD6OPO8Lzb0CyECFQtVPawFDsuLDB9GpFEqVR6bycy0Qq4LIEatUmFn7ZFnQ46tr1Nr89w6hDgbRgQ4GOUzmbjwjBPjdf9+3ZIqew/nsnHhGSdGPuPvzwAAAMDyES4EAAAOSoO5bDxi3WA8okX4cLxQigcmZisdVoKHU3H/+HQ8MDEVE8Vy0/NWo3IasXuqELunCm3nZSJiY/9sAHFDfy7W9+ViQ/VjfT4XG/rzM88Hc5kFwz3A2lQL3kWL8GFaFz4sRWMIsfaYtqk62EkwcKYCYjVouJhQYK3N80LXql1vZu1I5oUSk1ANEVgZJ2wYjj976qPjLVffFOOLCBgO57LxZ099dJywYbgHuwMAAAAOZcKFAADAqjSUz8Zx+aE4bv3QvLE0TWN/oTRT6fD+avDwgWrw8IGJ6SiWWwdQVqtyzIYQb+1gfi6TzIYOawHE6se6fC7WVcfW9eVifV821uVzMZAVSIRDQX3lw3yLOc2qH5aj0u64dqydmQqIXbRHrgQQZ0OISReVCTsJPEbMVkOcG0Ssf60iIrDcTt+2IT72zJPj7d+5uasWyTtGBuLCM04ULAQAAAB6QrgQAABYc5IkmQnJPWrj/B+0ltM0dk8VZsOG45Xg4f3VAOJDk9OxduoetlYsp/HQZCEemmxfEbFePpPEunwtgJhtCCBWjmfrxivHR/JZ7ZphDVqo+mFEpdVy2iKAmHZQATFice2R61sxJ9V9VgKTC9+LuqmGGDFbgbG+MuLc17WqjMLZQDsnbBiOT591WvzjT++LD/3XnW3nPmbjcLzyxCPjmUdt1goZAAAA6BnhQgAA4JCTSZLYOtAXWwf64uQYmTdeKJdj10Sh2mZ5qq7tcuVxz3RxBXZ9cCiU045aNNdLImIkn51TDbExhNgQVqzO6cv6QTmsdtkkqWYPW4fqZtos17VgbggkRixYBbHb9si1dswxtxphdFcNsbL/yvUWqsAYMT8EObcd89xgInDoyWcycebhmxYMF/7Rk06I45tU8AYAAABYTsKFAAAAc+QzmThiuD+OGO5vOj5ZLDUEDusDiA9OTMdYsXSAd3xwSyNif6EU+wuliPGpjs/rz2ZifTVw2FgNMTunWuJsYHE4l1UZDFaZ+gqIrVowp3Uhw5ngYTQGEzsJIUZ0FwZsGUSMxoqInVYl7CYE2dCeOea0gY66MKKqiAAAAABAjwgXAgAAdGkgl40d6wZjx7rBpuPjhVI8ODkdOycqHw9OTMfOianYWT320GThkGi7vFRTpXLsLJVjZxdtmzNJVAKIdS2aG1s3Z2daZm/oy8em/pxAIqwCSVJpcbxQW+NayHBu5cO5gcS0g3bMEYurSlhfgTBJIrK1aoiRzAQSO6lK2G175iTqA4dzqzDOVmcURgQAAAAAOiVcCAAAsMyG8tl4RH4wHtEifFgsp7F7qhY6rAsgTs4+nyyJHy5GOY3YO12MvdPFiLHOzslnktjUn6/7yM0839yfj4214325yGvVDAe1WghxoVbMEXVVEGN+9cPK8e6CiEupSpgkswHE+vbMSZIsGKisv34prQUh21+/1R4yTV5r0wwAAAAAhy7hQgAAgAMsl0nisMH+OGywedvlNE1jtFCKnZPTsXuyELunKh8PTxbioalCPDxViN2T0/HwVDGKHbQApb1COY0Hq6HOhYzks7G5Px9bBvKxpb8vtgxWHrcO5GPLQF9sGcjH+r6cEA6sApkkiahWFlxIWm2/XI7mwcNuWzN3W5WwPuTXEPqLxrbS3YQAu93D/H3MqY4Y1ZBkbZ4KiQAAAACw6gkXAgAAHGSSJKm08O3LxfHrW88rp2nsL5Ri9+R0JYA4WQkePjRViL1Txdg7XYh91Sp++wrFantPlmK0UIrRQinuHJ1sOSeXSWJL/2zYcMtAPrZWn28d6IvDBvtiU39eABFWkUoFwc6CiBF11Q/nVUPsPohYWS+i0/bMEdFQgTDmhBGTpNZeuvuKhI376GwvrSokVvbZvEpiEkKJAAAAAHAwEC4EAABYpTJJEhv6crGhLxfHLTC3nKYxXixVQ4eVsOHe6WLsnSrMPN9X97G/UIzxotbMi1Esp/HAxHQ80KYSYi6TxLZq0HD2oz+2VZ9vHeiLXEawBlarbqoizg0iLlQlsRPlJVYkTKKuTXPUBwK7DyQupkJi5UqNocSYUylxZjwWvzcAAAAAoD3hQgAAgENAJkliJJ+LkXwujurwnEK5HKOF0kzYsPJYiv3VcOL+meOl2F99rUJiZ4rlNO4bn4r7xqeajmciYvNAPg4b7Ittg/2xfbAvDh/qj8OH+uOIof7YMqDyIawVXbdnjpgXRmxWFbHbMGK3FQm7DSR2W41wfiixs31VrhhNQ4hJMr86Yv3zSktn91YAAAAAqBEuBAAAoKl8JhOb+jOxqT/f8TlpmsZYsRT7p0tzAojtg4mTJVUS65UjYtdkIXZNFiIeHps3ns8ksX2wEjQ8fLjyeEQ1fHj4YF/ks5kDv2mg55IkiWxEJQ3XRRhxti1zYxix/li5izBixPK0SI6krkVyk1BiJRTYfYvkpQQTI6KhbXNtz7OhxNl9xZzQ4mL3CwAAAAAHK+FCAAAAlk1SVyHxiOjv+LzpUrkudDhbLXE2jDg/rDhaKHURFVlbCuU07h6bjLvHJiN2No4lEbF1ID9T5fCI4YE4enggjh6phA/zGcFDOFTUwojZDsNuDVUP69s0x2wlxMVWR4xYnhbJ9WG/mdBfNAYAF1stsaZWgXex4cTanrOZJPqzmRjKZbveAwAAAAAcDIQLAQAAWHF92UxszfbF1oG+js8ppWmMzauGOLeN8+yx2uvCGu/bnEbEzslC7JwsxH/tHm0YyyQR2wf74+jhgThqpL8aOhyIo4YHYmNfTrUtOMR1WxkxYjZoGNXQYBrtKySmMTe018E1YuktkutbOEd9FcKYX4VwqeHE2u6K5TSK5VJEhIAhAAAAAKuScCEAAACrUjZJYn1fLtb35eKoDs9J0zSmSuXYO12MPdPFeHiq0ORj9vhaCyKW04j7xqfivvGp+N6ciofDuWwcNdwfR41UKx0OD8Sx6wbiiKGByGWEDoHm6gOJ2Q4DiRGtqyTOBAmbhBK7rZQYMRtM7LaFc83cSom1IGJ95cRWAcXavXOyWBYuBAAAAGBVEi4EAADgkJEkSQzksjGQy8b2ofZtm9M0jbFiqSFsuHuyELunCrFrcjoemizEQ5PT8dBUIYprIIQ4VizFzXvH4+a94w3Hc0kSRw33x7HrBuPYkcHYsW4gjh0ZjCOG+iMrdAgs0mKqJEbMqZRYDSCmEfNaNdeCibHIFs4z14vZcGLj6QuvtaEvH7lMsqjrAgAAAMDBQLgQAAAAmkiSJEbyuRjJ5+KYkYGW88ppGvuni7GrGjbcNVmIh6am46GJymPt+HixfAB3v3yKaRp3jE7GHaOTEfHwzPFcJomjhwdix8jATPDw2HUDcfhQf2S1VwZ6ZLGVEmvKaZNAYsyvjjg3nFg7FwAAAAAOJcKFAAAAsASZJIkN/fnY0J+PR24YajlvvFCKByem44GJqXhwYjp2TkzHgxPT8WD19Z7p4gHc9dIVy2n8bP9E/Gz/RMR9s6HDvkwSR49UqhseOzIQO6rBw+1DfZEROgRWWKbSy7iq+3vS3MqJUWvdXB2bLpWjKIQIAAAAwBohXAgAAAAHwFA+G4/ID8Yj1g82HZ8qlWNXLXA4ORs6fGB8Ou4fn4rdU4UDvOPFmS6ncdu+ibht30TD8YFsJnasG4zj1g3GcesH4xHrhuK4dYMxlM+u0E4BurdQ5cRSmkaxJFwIAAAA0EyhXI6r7394wXnv/t5P49dOPDJ+8ajNkc9kDsDOaEW4EAAAAA4C/dlMHDUyEEe1aME8VSrHA+NTcd/4VNxffaw9f2B8+qCvlDVZKsdNe8bipj1jDce3D/Y1hA0fsX4wjhjqV+UQAAAAAGANuWXvWLzjOzfHHaOTC869cc9Y/OF/3hI7RgbiwjNOjBM2DB+AHdKMcCEAAACsAv3ZTBy7bjCOXTe/8mEpTeOhyem4b6wWOKxUO7xnbDLuHZuMqfLBGzx8YGI6HpiYju88sHfmmCqHAAAAAABrxw927o23XH1TjBdLXZ13x+hkvO7fr4s/e+qj4/RtG3q0O9oRLgQAAIBVLpskcdhgfxw22B+nzRkrp2nsmizE3aOTcc/YZNw9Nhn3VJ/vnDw4Wy13UuXw+PWDcdy6odg+1KfKIQAAAADAQeqWvWOLChbWjBVL8XtX3xR/88yTVTBcAcKFAAAAsIZlkiQOG+yLwwb74vRt6xvGJouluGdsqhI4rIYO7x6bjLvHpmKqVF6hHbfWrMrhYC5TqXC4biiOWz8Yx60fih3rBmMgm1nBnQIAAAAAUCiX4x3fuXnRwcKasWIp3v6dm+PTZ50W+Yzv/R5IwoUAAABwiBrIZeORG4bikRuGGo6X0zQenJiOO/dPxJ2jk3Hn6ETcuX8y7hqdOOhaLE8Uy3H9w2Nx/cOzVQ4zEXHk8EAlbLhuMI5fXwkebu7PR6LKIQAAAADAAfGte3bHHaOTy7LWHaOT8e/37I6zjtm6LOvRGeFCAAAAoEEmSeLwof44fKg/nrx99ngtdHhHLXS4fyLuHJ2Iu0YnY/ogCh2WI6oVGCfjyvsenjm+oS9XqXK4frat8tEjA5HLCBwCAAAAACy3z992/7KvJ1x4YAkXAgAAAB2pDx0+pS50WErTeGB8aiZweEf18e6xySgcRKHDvdPF+NFD++NHD+2fOZbLJLFjZKChrfLx6wdjJO9bJgCsjOPXD8V3X3zmSm8DAAAAluTWvePxo137F57YhR/u2h+37RuP49cPLTyZZeE75QAAAMCSZJMkjhweiCOHB+KM7RtnjpfSNO4fm4rb90/Ez/ZPxO37xuNn+yfigYnpldvsHMVyGrfum4hb901E3DN7fNtAPo6rtlM+bl0lcHj4UH9ktFUGAAAAAFjQdx7Y05N1v33/HuHCA0i4EAAAAOiJbJLEUSMDcdTIQDztiE0zx8cKpbh9/3j8bN/ETPDwZ/snYqpUXsHdNto5WYidk3vjPx/cO3NsMJuJHesG4/hq6PAR6wZjx8hgDOWzK7hTAAAAAICDz84e/SPzXZMHzz9ePxQIFwIAAAAH1HA+G6dsXhenbF43c6yUpnH/+FTcvm+2yuHt+yfiwYOoyuFEqRw37hmLG/eMNRzfNtAXO9YNxLHVsOGOdYNxzMhA9GczK7RTAAAAAICVNV4s9WTdsUJv1qU54UIAAABgxWWTJI4aHoijhttXObx933jcsX8ipsrpCu620c7J6dg5OR3X7Nw3cyyJiCOG+iuBw3UDM6HDI4f7I58ROgQAAAAA1rahXG86vgzrJHNACRcCAAAAB61WVQ7vHZuaqW54277xuH3fROyeKqzgThulEXHv+FTcOz4V33lg9ng2iThqeCCOHq60iz56eCCOHhmIo4b7YyTv2zQAAAAAwNqwbbCvJ+tuHejNujTnu9YAAADAqpJNkjhmZCCOGRmIZ9Qd3ztVqIYNZ9sq3zU6EaWDp8hhlNKIO0cn487RyYgHGsc29uWqQcPG0OH2wf7IZpKV2TAAAAAAwCKcefjG+NB/3dGTdTlwhAsBAACANWFDfz4e35+Px29dP3OsUCrHnaOTcfv+SnXD26qhw9FCaQV32tye6WLs2T0a1+4ebTieyyRx5FB/HDU8EEcM98cRQ/1x+GB/HD7UH9sG+yIneAgAAAAAHGSOXz8Uj9+6Ln60a/+yrfmErevi+PVDy7YeCxMuBAAAANasfDYTj9wwFI/cMPsNpzRNY9dkYSZoePu+8bht30TcNz61gjttrVhOZ6sdzpFJIrYN9MXhQ/0zH0cM9cfhQ5VjWi0DAAAAACvlxccfvqzhwhcff/iyrUVnfIcZAAAAOKQkSRLbBvti22BfPGX7xpnj48VS3LF/oqHC4c/2T8RUqbxym11AOY14YGI6HpiYjh8/NP+bdMO57LzAYe1j20CfdssAAAAAQM/84lGbY8fIQNzR5B9Od2vHyEA886jNy7AruiFcCADQA2mazj6fO9bypF7tZhksIXew0KmtxpNE2AGAA2sol42TNo3ESZtGZo6V0jTuH5uK26ptlW/fNxG37R+PhyYLK7jTzo0VS3HrvvG4dd/4vLFMRGwZyFeDlpWw4WGDlY9t1cfBXPbAbxoAAAAAWBPymUxceMaJ8bp/vy7GiqVFrzOcy8aFZ5wY+UxmGXdHJ4QLAYBVIU3TmexdWv1PGhEzR2de18+Zf040zKkLANaNpXMONqwxb191zw/qdODakMyJIrbLHybNntedkMx9bLJW7Xqz588+zF2z/lj9/IY1ksbxJIQoAQ522SSJo0YG4qiRgXj6EbPHRwvFuHP/ZNwxOhF37J/92FdY/DfIDrRyROycLMTOyULEw2NN54zks7OBw4FKCLE+fLixL+fPMgAAAACgpRM2DMefPfXR8Zarb4rxRQQMh3PZ+LOnPjpO2DDcg92xEOFCAKBjbQN+c8J5tXBfNLyun1MdSxvnN4T7ZsaF9qiY+7mQdvup0fUJB8ZMALFJ+DCSZCa4WJ/dSGpnJXXBxvq5M2Oz8zIhzAiwXEbyuXjs5pF47ObZKodpmsae6WLcuX8i7hidnA0djk7ERPHgba3czmihFKOFibht30TT8XwmqYYO+2LLQD62DtQ/Vp5v6MtFxp8/AAAAAHDIOn3bhvjYM0+Ot3/n5q5aJO8YGYgLzzhRsHAFCRcCwCqX1gfy5oT95gb9ms6L5gG/iNmQ36Ec8Ouoql0yf/7c5817/zb/IfuB/tF7b/7PdrBqiylNK0TOfZ3OHW++WGNlyYNX/e/F+YPLv/MkkoYgYzInwFgLJCZJs/HZMUERgEZJksSm/nxs6s/HaVvXzxxP0zR2TRbijv0TcefoRNw9NhX3jE7G3WOTsXe6uII7XrpCOY17x6fi3vGplnNySRKbB/KxdSA/Ezjc0t8XWwdnHzf157U0AQAAAIA17IQNw/Hps06Lf/zpffGh/7qz7dzHbByOV554ZDzzqM2+b7jChAsBoMfqw38zIb1Wwb8OQn9rPfBXX52tFoBqrOJWG6keq59bv0bdgkmT+XUrzr9GqO621qVzWl7XP5/N8jWvkjivrXZaf2z2sVmVxYarzjlvdv10zvzll0bamFlcQoCx/vdpkiTV6oitj2eqpRZVUQQOJUmSxLZqK+GfO2xDw9hooRh3V4OGd49OxT1jlef3jU1F8SCtuNutYprGgxPT8eDEdEQ0b78cEbGxLzcTPtw653HLQD429/fFUC7jzw8AAAAAWKXymUycefimBcOFf/SkE+L49UMHaFe0I1wIAHXSJiG/uQG/ckRD5b9WAcDVHP7rJuDXrE3r3LnNw311waMQMuLAqn2+tS8oefB8Ts4NKdfHDhtCyXOCy/X3qJg7ns4dX+Te6oOKXYZgaveXWtBwpiJi7f4wJ5SoWiKwFo3kc/GYTSPxmE0jDcdL5TQemJiqBg8rocP7xqfigfGp2DkxHauzyXJ7e6aLsWe6GLfuaz2nP5PEpoF8bK5WiJx5HJh9vbk/H+u0YgYAAAAAWDLhQgBWvbQu8FeuC89UjrUJA66yIGCrwF+rsF990G9uyK9ZwG/2GofGD2GbVTKc2+Z4bjXDSObMa7LG/OvMDjZvrbzwHpdLLz/Du1m7Xf6s09+Hrdodzzu/ybxmObhmVQbnrr2SasG7youZ/yyr2r20Fl5sdq8sV39FynVzyksIKdbOq92vO5WZCSJWwoeZpDGkOBNWVCERWMWymSSOHB6II4cH4slzxorlNB6cmIr7x6fj/vGpuH9iKu4fqzzeNz4VE8W1GD2smCqn1fc93XZeNomZFtX1AcTa8439+djYl4uN/fnoz2qrAgAAAADQjHAhACuulKZRKJer4cA5YZY5oZVmYweTueG+TFKfA5oN9nUS/Jup4hVrMxizUFhyfhCydRXFuZURk/ozDtHwJMtrbhvlZi2U5x5raI28QAvk2nnNzjlQLZOTJIlsxJLDi+U0bQwf1t3DZ58vLZhYnvkF6eysmfvxnEqIjccqr1W5AlaDXF3wcK40TWN/oRT3jU/F/dVKh/ePT1VfT8euyemD7Cvo3iilEbsmC7FrsrDg3MFsJjb252NDXy429udiY18+NlQfN/bnYkNfPjZVH0fyWX9WAAAAAACHDOFCWINuueWWuOKKK+L666+PW2+9NXbu3BljY2NRKBRieHg4RkZGYseOHXHCCSfEk5/85HjqU58aw8PDK73tedI0jWuvvTauvPLKuPHGG+O2226L3bt3x+joaJTL5RgeHo7169fHcccdFyeccEKceeaZ8ZSnPCX6+vpWeut0aaJYiokVunamTRCwfiyJSvWr+aG32fDaavwhYycBv3bzYs7cxnnV2XWvhftYrVq2UV7hFsrN2iXPbe3erhVybbxcNxZRq0y4OJmkdv/s7tdktnJiYyixXN1nufoGylEJF3YTSEwjjVJ9SrOD91C7X2WT2fteY5XE2XAiwMEkSZJY35eL9X25ePTG+X/PK5TL8eDEdDwwPh0PTkzFzsnpeHBiOnZWP3ZNTlfumYeQiVI5JqoBzIVkk4gNfc2DiBuqlRA39uViQ/WxT1VEAAAAAGAVEy6EOfbv3x/XXntt3HDDDTE2NtZy3kknnRTPetazDuDO2hsbG4tLL700PvWpT8XPfvazlvP27t0be/fujXvuuSeuvvrq+Id/+IfI5/PxnOc8J84777w49dRTD9ymW9i9e3d87nOfi4svvjgeeOCBlvP27NkTe/bsiTvvvDMuv/zy+MQnPhFDQ0PxK7/yK3HeeefFIx/5yAO4aw6k+up/9YHA2dBbfcW/2Xm1s2vnHMyBkE5Cf5kFxmfff3WWkB+sOb1slzy3TXJ5Tpvk+qqD5bqQYq2qYLcBxdnKiZ2/h3aBxHKazquQ2Ome6isjFhfad4vgYVKtgqhFM3CwyWcycdTwQBzVpOphRKWq+MOThUrgsBo8fHBiKnZOzIYQJ0prt+3yQkppxO6pQuyeKkTsX3j+UC4TG+oqINZaMdeHEzeqiggAAAAAHKSECzmkjY+Px/XXXx/XXntt/Nd//Vdce+21cccdd8y0PmznRS960UETLvzSl74U73vf+2LXrl2LOr9QKMRll10Wl112WTzvec+Lt73tbbF9+/Zl3uXCSqVSfPrTn44PfvCDMTo6uqg1xsfH43Of+1xccskl8bKXvSze/OY3x/r165d5pyyHJCKytYpQSWMosFYhMDMTiDt4QxlNA35Nq/g1CULWz02E/oCDy3K0SS7PtLGvBPvmhhAbAoGLaJG8mEBipW1z47VLc9o1l7qojJjWBRo7qYxYXxVxpkVzfWvmEEYEVlY2SWLrYF9sHWxeET5N0xgrlmaChrXHhyanY9dkIR6aqjwWl1IGdw0ZL5ZjvNh5VcT1fZWgYeUxFxv7crG+WhVxQ18uNvRXHtf35WOdMCIAAAAA0GPChRwypqam4sYbb5wJEV577bVx6623Rrm8eisujI+Px//+3/87vvrVry7bml/5ylfiqquuiosuuiie/vSnL9u6C9m9e3f8zu/8Tnzve99blvXK5XJ85jOfiW9+85vx4Q9/OE455ZRlWZelydb94Ks/l43+XPaAXr8+7DcT7qgOzAYZG8eSRAgQYLFmAg9d3i/rKxKWmwQQy+nsnHLaeUXC2p46DWLM3cfMNZu0aV5MVcRO1FdGTJJaUH32WNSFFOv/nBI2AXolSZIYyediJJ+L49cPNZ2TpmnsK5TiocnpeGiyELvmPNaOjxVLB3j3B7dSGvHwVDEenlqobm5FJmKmBfaGaihxQ/3r/tljG/pysa4v1/B3MgAAAACAhQgXsubdcsst8fu///txyy23RLHY2TfoV4Pdu3fHq1/96rjxxhuXfe19+/bF6173unjnO98ZL3/5y5d9/bnuuOOOeNWrXhX33nvvsq99//33xyte8Yr4wAc+EL/8y7+87OvTnUySxEA2E5NdtlFr1QY5E0lDmKJW8bB+XjInKAjAwW/xFQlbhw/rX3dalbDbfTReq3WL5lpFx050WxmxXi1gWP/nYUPF3YiZMGLUxqsn1MZDWBFYhCRJZgJtx7cpJD9RLDUNHT40NR27JiqPe6aKHd8zDzXliNgzXYw90519ryOJiHX5bKzry8W6fCVsuD6fi3V92Vifr4QSmx3PZzM9fR8AAAAAwMFLuJA1b/fu3XHDDTes9DaW1f79++M1r3lNT4KFNeVyOd797nfHwMBAvOhFL+rZde67776eBQtrpqam4k1velP89V//dfz8z/98z65DZ9b15SJXLEWhnM6EFTLJ/PDgbAhCmAGAhdX+POm0hXOaplGaE0Zs93q591BfFbHWorm+SmPapFpjt8r1YcQug4nN1ML8leezocRa5cSZOdUJ86oAzxxXCRioGMxl4+iRbBw9MtByTrGcxu6p6dg9WYjdU4V4eKr6OOf13qlirN6+BAdGGhH7CqXYVyhFxMJtmmsGspmZ4OH6vuycAGJjEHFdXy5G8tkYymnZDAAAAABrgXAhrDJpmsZb3vKWuP766xec+6hHPSqe+9znxqmnnhqHH3549PX1xb59++Lmm2+Oq6++Or7xjW/E1FTrHyikaRoXXHBB7NixI04//fTlfBsRETE9PR3nn39+R8HCU089NZ797GfHKaecEtu2bYtMJhN79uyJG2+8Ma644oq48sor21amnJ6ejje+8Y3xhS98IXbs2LGcb4NFGMxlY3ClNwHAIS1Jksh1EUasVCVsDACW6oKB9a97URVxdg8REY3XTaPxeVQrI5brQorLUfWrtlbjweWpJzY3cDg3tJipphUbWkFHXXAxEVSEtSqXSeKwwf44bLC/7bxSmsbeqWJD4HD3ZF0Yse51cZnuXYeKyVI5Jiem48GJ6Y7PyUTEUD4bI/lKGHEkn42RfC6Gc9lqW+35Y7XHoVzG/RwAAAAADhLChbDKfOITn4jLL7+87Zwjjzwy3vGOd8SznvWspuOnnnpqvOQlL4ldu3bFRRddFJ///OdbrlUsFuN3f/d344tf/GJs3LhxKVuf54//+I8XrCp54oknxjvf+c540pOe1HT89NNPj1e84hVx5513xoUXXhjf+ta3Wq41NjYWb37zm+Ozn/1s9PX1LWnvAMChpVKVsPOqiK1aMjd73d0eIjoNRM5Va8ec1gUU02gMINZeV+ZX5kX92DIHFmvmBRcXGfxpCCnWBRQzteNzg4nVwKIQC6x+2SSJzQP52DyQbzsvTdMYK5bi4ali7J0uxJ6pYuyZKsTe6WLsqb7eO12YGR8vqoe4GOWIGC2UYrRQivuj81BiROW+PDwncFgLI9YCisPV6ogNz/OV1wNZ4UQAAAAAWC7ChdBEJpOJrVu3xoMPPrjSW2lw1113xYc+9KG2c574xCfGhz/84di0adOC623dujUuvPDCeNKTnhTveMc7olQqNZ133333xUUXXRTvec97FrXvZn7wgx/ExRdf3HbOs5/97PjTP/3TGBxcuMbdscceG3/9138dH/nIR+Iv/uIvWs677rrr4pOf/GS87nWv63bLAAAdqVUlzHYYbJgJHcb88GGlNXJjJcLFtEiOiNlw5BICinOltcBizIYWI2b32hBMjLnBxMqTcsyGFmvnLno/9SHFLgKKmZkKiI2BxExdIDFTCyMKrMCqliRJNayWi2OidTvmmulSOfZMF2PvVCH2TM8PIta/3jtdXNI9jIpyROwvlGJ/ofn3KBaSSWJ+8DCXjaFq+HBuIHF2biW4OJTLRL+AIgAAAABEhHAhRJIkceyxx8bjHve4OOWUU+KUU06Jxz72sXHttdfGr//6r6/09hq8733va9vG+KSTToq/+Zu/iZGRka7WfdGLXhRpmsbb3va2lnMuueSSePnLXx4nnXRSV2s3Uy6X473vfW+kbX7g+/SnPz0uuuiiyOfbV52Y6/zzz49isRh/9Vd/1XLORz7ykfjVX/3V2L59e1drAwD0wmIqEs5WIZxt1Tw3qJe2Ob5c2ZdaW+KY2X4vQouNgcX6VtC14zOtohf5Hsu1r0s7DCRmmgQO577uNFwKHNz6spk4bLAvDhtcuPp9OU1jtFBqqHy4Z6oaPJwqVkKKdccmVEXsiXI6WzUxJha3RiYiBnKZGMplYzBXCSAOZmdfDzaMZRrmRFT+gcFgLhPr87lYrj8bAQAAAGAlCBdyyDnqqKNmQoSPe9zj4uSTT47169ev9LYWdO2118Y3vvGNluNDQ0PxwQ9+sOtgYc0555wT3//+9+Of/umfmo6Xy+X40Ic+FB/5yEcWtX69r3/963Hddde1HN++fXu8//3v7zpYWPOGN7whfvCDH8TVV1/ddHx8fDw+9rGPxQUXXLCo9QEAVtpsFcLFBxbSuoqItbqB9YHEVq2Q51Uk7HlocXHvsVYBslZRsaEq5Mx+G0OJnVYcK1fXWSiMWB86rIVIa5Ut618Da0MmSWJ9Xy7W9+XimA7+aj5VKs+EDfdOF+PhqULsm64831uthDjzeqoQU8oiHjDliBgvlqttsQuLXmdTfz6eevjGeM1JRy/b3gAAAADgQBIuZM3btm1b/M7v/M5MmHDz5s0rvaVF+fjHP952/Pzzz48dO3Ys6Rp/8Ad/EN/4xjdiz549Tce/9a1vxa233hqPfOQjl3SdT3ziE23H3/rWt3bU1rmVJEniXe96V7zgBS+IQqH5DwE+//nPxxve8IbYuHHjoq8DALCa1QJ83VZNXMjcVsntgom1ioEz423O7VYtxNdNRcXZQOJs5cdaZch0TsvqTjI+nYQQmwUQa4/Z6jFgberPZuKwwf44bLC/o/mTxVI1eFisCx4WquHD+aHEiZLKiCvt4alCfPmOnXHr3vH46C+cHAO57EpvCQAAAAC6IlzImnf88cfH61//+pXexpLs3Lkzvva1r7Uc37p1a5x33nlLvs6GDRvita99bbz//e9vOp6maXzmM5+JP/zDP1z0NX7yk5/Ej3/845bjJ510UrzgBS9Y9Po1O3bsiJe+9KXxmc98pun4+Ph4XHrppfEbv/EbS74WAACzetEqeW6b5FrFxbmVB9P6IGBU20d3EU6cDSR2tudKyLC2hzRKUauAWA0ldhBCXCiAmETzwKHwIRx6BnLZGMhlY/tQZ2HE6VK5LoxYCR3uny7GvkIx9k+XYn+hOHNsf6HyqDpib9y4Zyy+dteuOPu47Su9FQAAAADoinAhrAJf/vKXo1QqtRx/+ctfHv39nf1wYSHnnntufPjDH47x8fGm4//6r/8ab3vb2yKXW9zt40tf+lLb8Ve96lWLWreZ8847Ly6++OJIW/yg9ktf+pJwIQDAKrDUNsn1LZLLM+HEtKEdcn1Vwk4DiZkOw32lNK2sPxNCnL1maYEAYhpplNLKGs0kkUQ2md1L7XlW22U45PVlM7FtsC+2DfZ1fM5UqVwXQJwNIja+Lsb+Qin2VSskjhVbf7+CWd+8Z7dwIQAAAACrjnAhrAKXXXZZy7EkSeKcc85ZtmutW7cuzjrrrPjnf/7npuO7d++Oq6++Op7xjGd0vXa5XI6vfOUrLceHhobiuc99btfrtvKIRzwinvjEJ8Y111zTdPz6669fljbPAAAc3BbbIrlUFz5sqEZYrY5Y6jCImE2SBUORtQBiLWxYrlZALJVnA5FN9xlpFGt9pJuoBQ2zddUOBQ+BVvqzmegf7IutXQQSS+U0RgvF2FcoxWihGKNNHvfPvJ49NlY4tCol5jLuuQAAAACsPsKFcJDbvXt3XHvttS3HH//4x8eRRx65rNd8wQte0DJcGBFxxRVXLCpceN1118XOnTtbjv/SL/1SDAwMdL1uO89//vNbhgsjIq688krhQgAA5kmSJHIdhhFr7ZFnw4fVCoVdtEeuBRBb/SW9do2G8GG5EoBsFz6snVdoMlYfPMzW2ixnKq8BOpXNJLGhPx8b+vNdnztdKs8PIxZnQ4j754QRRwulGC+WYqxYioliuQfvpndO2jSy0lsAAAAAgK4JF8JB7tvf/nbLtr4REU972tOW/ZpPfvKTo6+vL6anp5uOX3311Yta99vf/nbb8V68l6c//eltx6+66qplbcUMAMChp5P2yGmL0GGnAcTaNVr9JX6m8mE5jVL1dX3osZlWwcMk5lQ5zNSFDwUPgWXUl83E5mwmNg90H0wspWlMFEsxVqiEDcfrno/VhRBnnjeZN1U6MAHFzf35ePmjjjgg1wIAAACA5SRcCAe57373u23HzzjjjGW/5uDgYDz+8Y+P//zP/2w6fuutt8auXbti69atXa270Hs588wzu1qvE8cee2wcddRRcc899zQdv+aaa6JUKkU2m132awMAQE2tNXM2SaJVhKbWinm2SuFsALG0QPhwpvJhZv5YfdXDUrpw8DCN2XkREVGaHVPtEDhYZJMkRvK5GMkv/tubxXIa49XAYa0q4kSx9liuPJbqnhdLMV4sx0T981Jlfqt79Glb1sVbTntEDOV83wEAAACA1Ue4EA5y1113XcuxbDYbJ598ck+ue+r/z959h0lZnf8DfmYrvSMqxYpgVCxgQVEwdmM3Go0xxiQaCxprorHEaGKLRmNLLDF2BfvX/tPYG6holIigIggqSJWywLb5/YGrDOzMbJnZheW+rytXcJ93znMG2DPsO585Z8CAtOHCiKXzGjp0aL3GzPRcunfvHmuuuWa9xqurAQMGpA0XlpWVxaRJkxyNDABAs8t2FHPN7odV1d+HD6uSqccl1ybTroffBQ+rk1EZNb9Of9Rypt0OCxNLj0ctXDaAWCB0CKy8igoS0aGkKDqUNO4WaTKZjPJvg4qzFpfHvPLKqEwmo1/HdtGxtCgshQAAAACsqoQLYSVWWVkZEyZMSFtff/31o3Xr1nnpnS20OG7cuHqFC7/66quYM2dOg/s1xiabbBJPPfVU2vqHH34oXAgAwErvu90PC9OHD5fdnbAmhFhZl+BhQUTpcrWaMb7fOTF9iDEZyahMRlRWpRZrjlguKkh8t+thUWLp1xJ2OwRaiEQiEaWFiSgtLIjigkR0Ll26R23bYrsVAgAAALBqEy6EldikSZOivLw8bX399dfPW+9sY48fP75e42UKSdalX2PU5bnsu+++eesPAABNIfFtcK+2H/STy4YO6xg8LEwkag0yptvt8LtjlJftW3PEctWKtWV3N1z2qGWhQwAAAAAAWDkIF8JKbMqUKRnrffr0yVvvddZZJ2M929zqe/2q9FwAAGBVU3PkclEtRy7X7HhYuUxIsCaAWFvuMN1uh9/vnLji7om1jVNzbVSnfn35Y5WFDgEAAAAAoHkIF8JKbOrUqRnrvXr1ylvv1q1bR9euXWPWrFm11rPNrb7X5/O5ZBu7vs8FAABakpQdD5c7wXP5o5GrqtPvdphp58TKZXZKrFpm58OMocOIiKrvv17w7fiFiUQUFNT8WugQAAAAAADyRbgQVmJffvllxnq3bt3y2j9TuHDOnDmxaNGiaN26dZ3GyvZcunfvXu/51VWrVq2ibdu2sXDhwlrr2eYGAACrq3RHIy+/22Flsjrt0cgREUUFiYhIRMlyX18hvJghdFidTEZ5mtBh4bfBw4KCpYHDokRC6BAAAAAAYCW0foc2Mergwc09DepIuBBWYnPmzMlYz2cgLyJijTXWiAkTJqStz5kzp87hwmzPJd9Bye7du6cNF37zzTeRTCa9+QgAAHW04m6HS7c8TC5zJHJldfbAYLrw4vKhw+pvx0sXOqxOJqMiotbQ4ffHKy/tV+Df/QAAAAAAUCfChbASmzt3bsZ6+/bt89o/2/hz586Ntddeu05jZXsuHTp0qOu0GiTT+FVVVTFv3rzo2LFjXucAAAAt3dLQYURRJKK0liOWvwscVtfselj/0GF19XLHK6c5prlOocOawGHB0v8GAAAAAAC+J1wIK7FvvvkmY71du3Z57Z9t/Gzzq+u1xcXFUVKy/AFpuVWX59IU4cJ33323UY+fOnVqjmYCAABNK9suhZXL7FaYbpfCmjGKaxmjuvr7o5rrHDpcRsG3uxrWBA6X3fUQgObhPgoAAABA8xIuhJVYWVlZxnqbNm3y2j/b+NnmV9dr27ZtW+dxGiqXz6UxDjvssEY9vk2bNrHhhhvmaDYAAND8agKDy3/cqGq5sGFVhsBgutBh9bLHK8f3ux5mCh1WLvf1RCSiIBFRVJBYYdfDhN0OAfLKfRQAAACA5iVcCCuxysrl39ZKVVy8/FtnuZVt/IqK5ff6SC/Tcykqyv9SlMvnAgAA5F+2nQ5rwoY1wcPaAoMFiUQUpAkd1gQPK7OEDpORjKpkRFXVikVHLAMAAAAA0JIJF8JKLFvgrbCwMK/9s4X+soUfl5XpueT7edSlR32eCwAA0HzShQ6rl9vhsCpDYLDmCOSigojSZb6eTC7z+GREVbI6qqqXjl3bMc3pjliu2e2wJnhYUJCIwgjBQwAAAAAAVinChbASyxZ4y/eOf7kM5DX3zoW5DEoCAAArn4JEIkrShA6XDRtmCh0mEokoSiSWuVny/c9EldXJ78dKfv/rjLsdJr8tVi3TY/ngoR0PAQAAAABYSQkXwkosWyCuqqoqr7v+VVVVZazXp3dRUVHaAF+2PrmQLTzYFLsnRkTcd999jXr81KlT44477sjRbAAAoOWr2aWwuCD168lkathwaQBxmUDgcooKEhFRe3gx5YjlbwOHVdW173a4QvCwlvmmhA6X+zXA6sR9FAAAAIDmJVwIK7Hi4uKM9XyHC7MF8rLNb/lrmzNcmK1HfZ5LY2y55ZaNenybNm1yNBMAAFi9JRKJKE4TOqxKRlR+eyTydm+6gQAAj6VJREFUsscs1xYHTHfEcsTSx1bXHNUcNSHE9McsR3wfVqx1zt/uerhsALEgkfo1gJbEfRQAAACA5iVcCCuxbDsXlpeXR0lJSd765zJcmOm5VFRU1HmchsrlcwEAAFqupUcjRxRF4bKnIkdEfBcyrFruqOXajkaO+Pbo48JE1PbTRk3wsDpZtx0PI1J3PUz3U1RN2LEwscyv4/sQYkIAEQAAAACAOhIuhJVYtk9Xl5WVRbt27fLWf+HChRnr9fn0d5s2bWL+/PkN6pMLuXwuAADA6qkmLLi85Ldhw8pldiasCSBmCx5GrLjj4XdHLX/7+Oqo2QEx866Hyz423cerChKJKIjvg4d2PwQAAAAAIB3hQliJdezYMWM936G8bONnm9/y106fPr3WWkVFRd53YczlcwEAAFjW0t0OE0tvsiy32+GyQcNlj1muzhA8/O6o5TT9qpd5fFUyuTR8WBNEzDDud4+NiMhw9HIiEcsdu2z3QwAAAACA1ZFwIazEsgXe5s2bl9f+2cavb7gwW69u3brVebz6yvRcCgoKokOHDnnrDQAArL5qwnnFEbUGD6uT3x+tXFWd+t/Zxkxn6U6K3++oWBVLx0tm2U0xYunRy8lvQ4oZ+4fdDwEAAAAAWjrhQliJdenSJWN9xowZee2fbfzOnTvXeaxsz2XmzJl5DRdmei4dO3a08wYAANDkMu1QmPx2h8GawGFVzS6FdQgILt1JMSLi21BjLaqSyZSwod0PAQAAAABYnnAhrMTWWmutjPWZM2fmtX+m8Tt37hxt2rSp81jZnsuMGTOif//+dR6vPhYvXhwLFixIW+/Zs2de+gIAADRU4tswXmFh7SG82sKH1cnUX2fIBy7dXTDD0cvL7n5YnUxGVaQGEpPJSDt+nXc/TCSiMBFREEsDh4XL7IQofAgAAAAA0PyEC2El1qtXr4z1L774Im+9Fy1aFLNmzUpbzza3+l6fz+cyderUjPX6PhcAAIDmli18GLFi2LBq2Z0K67H7YTqN3v0wmYzKNHXhQwAAAACA5idcCCux3r17Z6xPnjw5b70///zzjPX6BvJa0nMBAABYFWQ6djni+90Jlw8h5nr3w+/GjKWBw2UDienUK3yYSKQcwVwoeAgAAAAAkBPChbASW3fddaOkpCTKy8trrU+cODFvvT/99NOM9X79+tVrvI022ihjfVV6LgAAAC1BXXYnrG33w+rlft3Q8bMdvdzQ8GFiuZ0Olw8g2vUQAAAAAKBuhAthJVZcXBx9+/aN//3vf7XWJ06cGIsXL45WrVrlvHe6njV+8IMf1Gu8tddeOzp16hRz585tUL/GyPVzAQAAWF3kc/fD+oYPK2PZI5fThw+TsfRxVcnaL1h+18PlA4gAAAAAACwlXAgruU033TRtOK6qqirGjh0bgwYNynnf999/P2O9IYG8TTfdNF599dVaazNmzIhp06bFmmuuWe9xs8n0XNq0aRPrrbdeznsCAACsDuq6+2FVml0Pq6rrHj4sXa6+7A6HVclkVMe3ocbqzKHGuux6uOxOh8vugGjXQwAAAABgdVLQ3BMAMttmm20y1t98882c91y8eHG89957aevrr79+dO/evd7jNsdzmTJlSnzxxRdp6wMHDozCwsKc9wUAAGCpgkQiigsKolVhYbQpKox2xUXRsaQ4OpcWR7fWJdG1VXF0Li2KDiVF0a64MFoXFURJYSKKChIZIovfhg8LCqKksCBaFxVG26KiaF9cHJ1Ki6NLq5LoVFocHb8bszBKCwuiuGBpYDCdpbseJqOiujoWV1VFWWVVzK+ojG/KK2L2koqYs6QivimvjAUVlVFWWRWLq6qjoro67S6JAAAAAACrMjsXwkpu8ODBkUgkIpnmjYpXX301hg8fntOeo0aNivLy8rT1HXbYoUHjDh48OGP9lVdeiQMOOKBBY6fz8ssvZ6w39LkAAACQG9mOXv5up8Fldz6szn7scmEiEZFm3BWOc87hroeFtRy1XGDXQwAAAABgFSRcCCu5rl27xiabbBJjx46ttf7ee+/Fl19+GWuvvXbOej7xxBMZ6zvuuGODxt10002ja9euMWvWrFrrzz//fCxevDhatWrVoPFr8+STT2as77TTTjnrBQAAQO5lCx9W1QQEvw0cfvff34YRa5PtOOfqZcZICSFmGHPproeRdhfDgjShw5owIgAAAADAysaxyLAK2GeffdLWkslkPPTQQznrNX/+/Hj22WfT1rt06dLg3f4KCgpi7733TlsvKyuLp59+ukFj12by5MnxzjvvpK1vvPHGscEGG+SsHwAAAE2vsObY5aLCaFtcGB1KiqJTaXF0bVUS3VotPX55+SOXCxOZj1wu+PbI5dJljnLuUFIcnUtLoktpcXQsKY72xUXRtqgwWtVxzOpkMiqrq2NJVXUsqqyKBRWVMa+8MuYsqYjZiyti7pKKmF9eGQsrqmJxZVWUV1VHVXUy7UkGAAAAAAD5JlwIq4Af/ehHUVhYmLZ+7733ZjzGuD5GjBgRZWVlaet77bVXFBU1fNPT/fbbL2P9tttua/DYtY2V6U2YfffdN2e9AAAAWPkkEokoKkhEaWFBtP42JNixpDi6tCqObq1Lomur4uhUWhTtS5aGCFsVFkRxwdIdBbO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      "text/plain": [
       "<Figure size 1200x1000 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1023,
       "width": 1291
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pmb.plot_pdp(μ, X=X, Y=Y, grid=(2, 2), func=np.exp, var_discrete=[3]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a86b72b",
   "metadata": {},
   "source": [
    "From this plot, we can see the main effect of each covariate on the predicted value. This is very useful as we can recover complex relationships beyond monotonic increasing or decreasing effects. For example for the `hour` covariate we can see two peaks around 8 and 17 hs and a minimum at midnight.\n",
    "\n",
    "When interpreting partial dependence plots we should be careful about the assumptions in this plot. First, we assume that variables are independent. For example when computing the effect of `hour` we have to marginalize the effect of `temperature` and this means that to compute the partial dependence value at `hour=0` we are including all observed values of temperature, and this may include temperatures that are not observed at midnight, given that lower temperatures are more likely than higher ones. We are seeing only averages, so if for a covariate half the values are positively associated with the predicted variable and the other half negatively associated. The partial dependence plot will be flat as their contributions will cancel each other out. This is a problem that can be solved by using individual conditional expectation plots `pmb.plot_ice(...)`. Notice that all these assumptions are assumptions of the partial dependence plot, not of our model! In fact, BART can easily accommodate interactions of variables Although the prior in BART regularizes high-order interactions). For more on interpreting Machine Learning models, you could check the \"Interpretable Machine Learning\" book {cite:p}`molnar2019`.\n",
    "\n",
    "Finally, like with other regression methods, we should be careful that the effects we are seeing on individual variables are conditional on the inclusion of the other variables. So for example, while `humidity` seems to be mostly flat, meaning that this covariate has a small effect on the number of used bikes. This could be the case because `humidity` and `temperature` are correlated to some extent and once we include `temperature` in our model `humidity` does not provide too much extra information. Try for example fitting the model again but this time with `humidity` as the single covariate and then fitting the model again with `hour` as a single covariate. You should see that the result for this single-variate model will be very similar to the previous figure for the `hour` covariate, but less similar for the `humidity` covariate."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54e31c66",
   "metadata": {},
   "source": [
    "### Variable importance\n",
    "\n",
    "As we saw in the previous section a partial dependence plot can visualize give us an idea of how much each covariable contributes to the predicted outcome. Moreover, PyMC-BART provides a novel method to assess the importance of each variable in the model. You can see an example in the following figure. \n",
    "\n",
    "On the x-axis we have the number of covariables and on the y-axis R² (the the square of the Pearson correlation coefficient) between the predictions made for the full model (all variables included) and the restricted models, those with only a subset of the variables. \n",
    "\n",
    "In this example, the most important variable is `hour`, then `temperature`, `humidity`, and finally `workingday`.  Notice that the first value of R², is the value of a model that only includes the variable `hour`, the second R² is for a model with two variables, `hour` and  `temperature`, and so on. Besides this ranking, we can see that even a model with a single component, `hour`, is very close to the full model. Even more, the model with two components `hour`, and `temperature` is on average indistinguishable from the full model. The error bars represent the 94 \\% HDI from the posterior predictive distribution. This means that we should expect a model with only `hour` and `temperature` to have a similar predictice performance than a model with the four variables, `hour`,  `temperature`, `humidity`, and `workingday`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2bb3d9f8",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 623,
       "width": 1623
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vi_results = pmb.compute_variable_importance(idata_bikes, μ, X)\n",
    "pmb.plot_variable_importance(vi_results);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81d553f3-3f9e-4ae8-95f9-84d2d9a9556c",
   "metadata": {},
   "source": [
    "`plot_variable_importance` is fast because it makes two assumptions:\n",
    "\n",
    "* The ranking of the variables is computed with a simple heuristic. We just count how many times a variable is included in all the regression trees. The intuition is that if a variable is important it should appear more often in the fitted trees than less important variables.\n",
    "\n",
    "* The predictions used for the computation of R² come from the already fitted trees. For instance to estimate the effect of a BART model with the variable `hour` we *prune* the branch that does not include this variable. This makes computations much faster, as we do not need to find a new set of trees.\n",
    "\n",
    "Instead of using the \"counting heuristic\". It can also perform a backward search, `pmb.plot_variable_importance(..., method=\"backward\")`. Internally this will compute the R² for the full model, then for all models with one variable less than the full model, and then for all models with less than two, and so on. At each stage, we discard the variable that gives the lowest R². The backward method will be slower, as we need to compute predictions for more models."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8a84cca",
   "metadata": {},
   "source": [
    "### Out-of-Sample Predictions\n",
    "\n",
    "In this section we want to show how to do out-of-sample predictions with BART. We are going to use the same dataset as before, but this time we are going to split the data into a training and a test set. We are going to use the training set to fit the model and the test set to evaluate the model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7eec697",
   "metadata": {},
   "source": [
    "#### Regression\n",
    "\n",
    "Let's start by modelling this data as a regression problem. In this context we randomly split the data into a training and a test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "24895456",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3344f483",
   "metadata": {},
   "source": [
    "Now, we fit the same model as above but this time using a *shared variable* for the covariatates so that we can then replace them to generate the out of sample predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "92d41028",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">NUTS: [α]\n",
      ">PGBART: [μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "db23e13a15c64db38030792cd707653e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "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 49 seconds.\n",
      "The rhat statistic is larger than 1.01 for some parameters. This indicates problems during sampling. See https://arxiv.org/abs/1903.08008 for details\n",
      "Sampling: [y]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "769cf112a71649309dd4b3206c1edba0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pm.Model() as model_oos_regression:\n",
    "    X = pm.Data(\"X\", X_train)\n",
    "    Y = Y_train\n",
    "    α = pm.Exponential(\"α\", 1)\n",
    "    μ = pmb.BART(\"μ\", X, np.log(Y))\n",
    "    y = pm.NegativeBinomial(\"y\", mu=pm.math.exp(μ), alpha=α, observed=Y, shape=μ.shape)\n",
    "    idata_oos_regression = pm.sample(random_seed=RANDOM_SEED)\n",
    "    posterior_predictive_oos_regression_train = pm.sample_posterior_predictive(\n",
    "        trace=idata_oos_regression, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b342609",
   "metadata": {},
   "source": [
    "Next, we replace the data in the model and sample from the posterior predictive distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "911effb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling: [y, μ]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c4c5227cb15b4df585c9411a3878cdf3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with model_oos_regression:\n",
    "    X.set_value(X_test)\n",
    "    posterior_predictive_oos_regression_test = pm.sample_posterior_predictive(\n",
    "        trace=idata_oos_regression, random_seed=RANDOM_SEED\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b73f104",
   "metadata": {},
   "source": [
    "Finally, we can compare the posterior predictive distribution with the observed data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1e569120",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_9765/127705605.py:1: UserWarning: Detected at least one discrete variable.\n",
      "Consider using plot_ppc variants specific for discrete data, such as plot_ppc_pava or plot_ppc_rootogram.\n",
      "  pc =az.plot_ppc_dist(posterior_predictive_oos_regression_train, kind=\"ecdf\");\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 1200x535.887 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pc = az.plot_ppc_dist(posterior_predictive_oos_regression_train, kind=\"ecdf\")\n",
    "pc.get_viz(\"plot\", \"y\").set_xlim(0, 1_000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c45b9415",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_9765/4028281619.py:1: UserWarning: Detected at least one discrete variable.\n",
      "Consider using plot_ppc variants specific for discrete data, such as plot_ppc_pava or plot_ppc_rootogram.\n",
      "  pc = az.plot_ppc_dist(posterior_predictive_oos_regression_test, kind=\"ecdf\");\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x535.887 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pc = az.plot_ppc_dist(posterior_predictive_oos_regression_test, kind=\"ecdf\")\n",
    "pc.get_viz(\"plot\", \"y\").set_xlim(0, 1_000);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a487e63",
   "metadata": {},
   "source": [
    "Yay! The results look quite reasonable 🙂!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddec44d6",
   "metadata": {},
   "source": [
    "#### Time Series\n",
    "\n",
    "We could be tempted to view the same data from a *time series* perspective using the `hour` feature. From this point of view, we need to make sure we do not shuffle the data so that we do not leak information. Thus, we define the train-test split using the `hour` feature.\n",
    "\n",
    "```python\n",
    "train_test_hour_split = 19\n",
    "\n",
    "train_bikes = bikes.query(\"hour <= @train_test_hour_split\")\n",
    "test_bikes = bikes.query(\"hour > @train_test_hour_split\")\n",
    "\n",
    "X_train = train_bikes[features]\n",
    "Y_train = train_bikes[\"count\"]\n",
    "\n",
    "X_test = test_bikes[features]\n",
    "Y_test = test_bikes[\"count\"]\n",
    "```\n",
    "\n",
    "The problem with this approach is that BART does not have an explicit mechanism to model data outside the range of the training data. Because trees are built using only the training data. For values outside the training data, the trees will just use the closest value in the training data. This means that BART will not be able to extrapolate trends or patterns outside the training data.\n",
    "\n",
    "`pymc_bart.BART` has a `response` argument by default it's set to `constant`, this means each leaf node returns a scalar (or constant) value. It can also be set to `linear` and then each node will return a `linear` term. For some problems this can help mitigate the extrapolation issue, but it may be of not help for others. So in general we should not used BART for time series forecasting if there is a trend component. In this case it is better to detrend the data first, model the remainder with BART and model the trend with a different model."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "219cde48-b626-4325-afc0-2a2881fc5683",
   "metadata": {},
   "source": [
    "## Authors\n",
    "* Authored by Osvaldo Martin in Dec, 2021 ([pymc-examples#259](https://github.com/pymc-devs/pymc-examples/pull/259))\n",
    "* Updated by Osvaldo Martin in May, 2022  ([pymc-examples#323](https://github.com/pymc-devs/pymc-examples/pull/323))\n",
    "* Updated by Osvaldo Martin in Sep, 2022\n",
    "* Updated by Osvaldo Martin in Nov, 2022\n",
    "* Juan Orduz added out-of-sample section in Jan, 2023\n",
    "* Updated by Osvaldo Martin in Mar, 2023\n",
    "* Updated by Osvaldo Martin in Nov, 2023\n",
    "* Updated by Osvaldo Martin in Dec, 2024\n",
    "* Updated by Osvaldo Martin in Dec, 2025"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c184bc8",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    ":::{bibliography}\n",
    ":filter: docname in docnames\n",
    "\n",
    "martin2021bayesian\n",
    "quiroga2022bart\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c557ed8",
   "metadata": {},
   "source": [
    "## Watermark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "608086f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Wed Dec 03 2025\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.13.5\n",
      "IPython version      : 9.3.0\n",
      "\n",
      "arviz     : 0.23.0.dev0\n",
      "sklearn   : 1.7.1\n",
      "matplotlib: 3.10.3\n",
      "pymc      : 5.26.1\n",
      "numpy     : 2.2.6\n",
      "pandas    : 2.3.0\n",
      "pymc_bart : 0.11.0\n",
      "\n",
      "Watermark: 2.5.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b02674f-26ad-4c07-bf60-eb8edd1c520b",
   "metadata": {},
   "source": [
    ":::{include} ../page_footer.md\n",
    ":::"
   ]
  }
 ],
 "metadata": {
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   "formats": "ipynb,md"
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   "display_name": "pymc",
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
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