{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "78d5ca5f4a0415ed",
   "metadata": {},
   "source": [
    "(pymc_overview)=\n",
    "\n",
    "# Introductory Overview of PyMC\n",
    "\n",
    "Note: This text is partly based on the [PeerJ CS publication on PyMC](https://peerj.com/articles/cs-55/) by John Salvatier, Thomas V. Wiecki, and Christopher Fonnesbeck.\n",
    "\n",
    ":::{post} 21 December, 2021\n",
    ":tags: exploratory analysis, glm, mcmc, pymc.Data, pymc.Deterministic, pymc.DiscreteUniform, pymc.Exponential, pymc.HalfStudentT, pymc.InverseGamma, pymc.HalfNormal, pymc.Model, pymc.Normal, pymc.Poisson, pymc.Slice, pymc.StudentT\n",
    ":category: beginner\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75e8b5a8c41f0fc1",
   "metadata": {},
   "source": [
    "## Abstract\n",
    "\n",
    "Probabilistic Programming allows for automatic Bayesian inference on user-defined probabilistic models. Gradient-based algorithms for Markov chain Monte Carlo (MCMC) sampling, known as Hamiltonian Monte Carlo (HMC), allow inference on increasingly complex models but requires gradient information that is often not trivial to calculate. PyMC is an open source probabilistic programming framework written in Python that uses PyTensor to compute gradients via automatic differentiation, as well as compiling probabilistic programs on-the-fly to one of a suite of computational backends for increased speed. PyMC allows for model specification in Python code, rather than in a domain-specific language, making it easy to learn, customize, and debug. This paper is a tutorial-style introduction to this software package for those already somewhat familiar with Bayesian statistics.\n",
    "\n",
    "## Introduction\n",
    "\n",
    "Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC is a PP framework with an intuitive and readable, yet powerful, syntax that is close to the natural syntax statisticians use to describe models. It features next-generation Markov chain Monte Carlo (MCMC) sampling algorithms such as the No-U-Turn Sampler (NUTS; Hoffman, 2014), a self-tuning variant of Hamiltonian Monte Carlo (HMC; Duane, 1987). This class of samplers works well on high-dimensional and complex posterior distributions and allows many complex models to be fit without specialized knowledge about fitting algorithms. HMC and NUTS take advantage of gradient information from the likelihood to achieve much faster convergence than traditional sampling methods, especially for larger models. NUTS also has several self-tuning strategies for adaptively setting the tunable parameters of Hamiltonian Monte Carlo, which means you usually don't need to have specialized knowledge about how the algorithms work.\n",
    "\n",
    "Probabilistic programming in Python confers a number of advantages including multi-platform compatibility, an expressive yet clean and readable syntax, easy integration with other scientific libraries, and extensibility via C, C++, Fortran or Cython. These features make it relatively straightforward to write and use custom statistical distributions, samplers and transformation functions, as required by Bayesian analysis.\n",
    "\n",
    "While most of PyMC's user-facing features are written in pure Python, it leverages PyTensor (a fork of the Theano project) to transparently transcode models to C and compile them to machine code, thereby boosting performance. PyTensor is a library that allows expressions to be defined using generalized vector data structures called *tensors*, which are tightly integrated with the popular NumPy {class}`~numpy.ndarray` data structure, and similarly allow for broadcasting and advanced indexing, just as NumPy arrays do. PyTensor also automatically optimizes the likelihood's computational graph for speed and allows for compilation to a suite of computational backends, including Jax and Numba.\n",
    "\n",
    "Here, we present a primer on the use of PyMC for solving general Bayesian statistical inference and prediction problems. We will first see the basics of how to use PyMC, motivated by a simple example: installation, data creation, model definition, model fitting and posterior analysis. Then we will cover two case studies and use them to show how to define and fit more sophisticated models. Finally we will discuss a couple of other useful features: custom distributions and arbitrary deterministic nodes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b64b1b4a89e096ad",
   "metadata": {},
   "source": [
    "## Installation\n",
    "\n",
    "Running PyMC requires a relatively recent Python interpreter, preferably version 3.8 or greater. A complete Python installation for macOS, Linux and Windows can most easily be obtained by downloading and installing the free [`Anaconda Python Distribution`](https://store.continuum.io/cshop/anaconda/) by ContinuumIO or the open source [Miniforge](https://github.com/conda-forge/miniforge).\n",
    "\n",
    "Once Python is installed, follow the {ref}`installation guide <installation>` on the PyMC documentation site.\n",
    "\n",
    "PyMC is distributed under the liberal [Apache License 2.0](https://github.com/pymc-devs/pymc/blob/master/LICENSE). On the GitHub site, users may also report bugs and other issues, as well as contribute documentation or code to the project, which we actively encourage."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "349df4053f2a9e97",
   "metadata": {},
   "source": [
    "## A Motivating Example: Linear Regression\n",
    "\n",
    "To introduce model definition, fitting, and posterior analysis, we first consider a simple Bayesian linear regression model with normally-distributed priors for the parameters. We are interested in predicting outcomes $Y$ as normally-distributed observations with an expected value $\\mu$ that is a linear function of two predictor variables, $X_1$ and $X_2$:\n",
    "\n",
    "$$\\begin{aligned}\n",
    "Y  &\\sim \\mathcal{N}(\\mu, \\sigma^2) \\\\\n",
    "\\mu &= \\alpha + \\beta_1 X_1 + \\beta_2 X_2\n",
    "\\end{aligned}$$\n",
    "\n",
    "where $\\alpha$ is the intercept, and $\\beta_i$ is the coefficient for covariate $X_i$, while $\\sigma$ represents the observation error. Since we are constructing a Bayesian model, we must assign a prior distribution to the unknown variables in the model. We choose zero-mean normal priors with variance of 100 for both regression coefficients, which corresponds to *weak* information regarding the true parameter values. We choose a half-normal distribution (normal distribution bounded at zero) as the prior for $\\sigma$.\n",
    "\n",
    "$$\\begin{aligned}\n",
    "\\alpha &\\sim \\mathcal{N}(0, 100) \\\\\n",
    "\\beta_i &\\sim \\mathcal{N}(0, 100) \\\\\n",
    "\\sigma &\\sim \\lvert\\mathcal{N}(0, 1){\\rvert}\n",
    "\\end{aligned}$$\n",
    "\n",
    "### Generating data\n",
    "\n",
    "We can simulate some artificial data from this model using only NumPy's {mod}`~numpy.random` module, and then use PyMC to try to recover the corresponding parameters. We are intentionally generating the data to closely correspond to the PyMC model structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2465423f99ec5388",
   "metadata": {},
   "outputs": [],
   "source": [
    "import arviz as az\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8bd1166606e7afd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = 'retina'\n",
    "# Initialize random number generator\n",
    "RANDOM_SEED = 8927\n",
    "rng = np.random.default_rng(RANDOM_SEED)\n",
    "az.style.use(\"arviz-variat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9558f1c3501c79fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# True parameter values\n",
    "alpha, sigma = 1, 1\n",
    "beta = [1, 2.5]\n",
    "\n",
    "# Size of dataset\n",
    "size = 100\n",
    "\n",
    "# Predictor variable\n",
    "X1 = np.random.randn(size)\n",
    "X2 = np.random.randn(size) * 0.2\n",
    "\n",
    "# Simulate outcome variable\n",
    "Y = alpha + beta[0] * X1 + beta[1] * X2 + rng.normal(size=size) * sigma"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daef77a46a02b462",
   "metadata": {},
   "source": [
    "Here is what the simulated data look like. We use the plotting library matplotlib to visualize the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d5968bb22ebe3456",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 823,
       "width": 2023
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, sharex=True, figsize=(10, 4))\n",
    "axes[0].scatter(X1, Y, alpha=0.6)\n",
    "axes[1].scatter(X2, Y, alpha=0.6)\n",
    "axes[0].set_ylabel(\"Y\")\n",
    "axes[0].set_xlabel(\"X1\")\n",
    "axes[1].set_xlabel(\"X2\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d65f2982dec192a0",
   "metadata": {},
   "source": [
    "### Model Specification\n",
    "\n",
    "Specifying this model in PyMC is straightforward because the syntax is similar to the statistical notation. For the most part, each line of Python code corresponds to a line in the model notation above.\n",
    "\n",
    "First, we import PyMC. We use the convention of importing it as `pm`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "be68cfb899d827ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on PyMC v5.27.0+67.g6c48a0bd8.dirty\n"
     ]
    }
   ],
   "source": [
    "import pymc as pm\n",
    "\n",
    "print(f\"Running on PyMC v{pm.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cdd1382830bb067",
   "metadata": {},
   "source": [
    "Now we build our model, which we will present in full first, then explain each part line-by-line."
   ]
  },
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   "cell_type": "code",
   "execution_count": 6,
   "id": "4dcdbb894e4d5e49",
   "metadata": {},
   "outputs": [],
   "source": [
    "basic_model = pm.Model()\n",
    "\n",
    "with basic_model:\n",
    "    # Priors for unknown model parameters\n",
    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
    "    beta = pm.Normal(\"beta\", mu=0, sigma=10, shape=2)\n",
    "    sigma = pm.HalfNormal(\"sigma\", sigma=1)\n",
    "\n",
    "    # Expected value of outcome\n",
    "    mu = alpha + beta[0] * X1 + beta[1] * X2\n",
    "\n",
    "    # Likelihood (sampling distribution) of observations\n",
    "    Y_obs = pm.Normal(\"Y_obs\", mu=mu, sigma=sigma, observed=Y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e593d76a3ae018c",
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    "The first line,\n",
    "\n",
    "```python\n",
    "basic_model = pm.Model()\n",
    "```\n",
    "\n",
    "creates a new {class}`~pymc.Model` object which is a container for the model random variables.\n",
    "\n",
    "Following instantiation of the model, the subsequent specification of the model components is performed inside a  `with` statement:\n",
    "\n",
    "```\n",
    "with basic_model:\n",
    "```\n",
    "This creates a *context manager*, with our `basic_model` as the context, that includes all statements until the indented block ends. This means all PyMC objects introduced in the indented code block below the `with` statement are added to the model behind the scenes. Absent this context manager idiom, we would be forced to manually associate each of the variables with `basic_model` right after we create them. If you try to create a new random variable without a `with model:` statement, it will raise an error since there is no obvious model for the variable to be added to.\n",
    "\n",
    "The first three statements in the context manager:\n",
    "\n",
    "```python\n",
    "alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
    "beta = pm.Normal('beta', mu=0, sigma=10, shape=2)\n",
    "sigma = pm.HalfNormal('sigma', sigma=1)\n",
    "```\n",
    "create **stochastic** random variables with normally-distributed prior distributions for the regression coefficients with a mean of 0 and standard deviation of 10, and a half-normal distribution for the standard deviation of the observations, $\\sigma$. These are stochastic because their values are partly determined by their parents in the dependency graph of random variables, which for priors are simple constants, and partly random (or stochastic).\n",
    "\n",
    "We call the `pm.Normal` constructor to create a random variable to use as a normal prior. The first argument is always the *name* of the random variable, which should almost always match the name of the Python variable being assigned to, since it is sometimes used to retrieve the variable from the model for summarizing output. The remaining required arguments for a stochastic object are the parameters, in this case `mu`, the mean, and `sigma`, the standard deviation, which we assign hyperparameter values for the model. In general, a distribution's parameters are values that determine the location, shape or scale of the random variable, depending on the parameterization of the distribution. Most commonly-used distributions, such as `Beta`, `Exponential`, `Categorical`, `Gamma`, `Binomial` and many others, are available in PyMC.\n",
    "\n",
    "The `beta` variable has an additional `shape` argument to denote it as a vector-valued parameter of size 2. The `shape` argument is available for all distributions and specifies the length or shape of the random variable, but is optional for scalar variables, since it defaults to a value of one. It can be an integer to specify an array, or a tuple to specify a multidimensional array (*e.g.* `shape=(5,7)` makes a random variable that takes on 5 by 7 matrix values).\n",
    "\n",
    "Detailed notes about distributions, sampling methods and other PyMC functions are available in the {ref}`API documentation <api>`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "432877dae5dbfb5e",
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   "source": [
    "Having defined the priors, the next statement creates the expected value `mu` of the outcomes, specifying the linear relationship:\n",
    "\n",
    "```python\n",
    "mu = alpha + beta[0]*X1 + beta[1]*X2\n",
    "```\n",
    "This creates a **deterministic** random variable, which implies that its value is *completely* determined by its parents' values. That is, there is no uncertainty beyond that which is inherent in the parents' values. Here, `mu` is just the sum of the intercept `alpha` and the two products of the coefficients in `beta` and the predictor variables, whatever their values may be.\n",
    "\n",
    "PyMC random variables and data can be arbitrarily added, subtracted, divided, multiplied together and indexed-into to create new random variables. This allows for great model expressivity. Many common mathematical functions like `sum`, `sin`, `exp` and linear algebra functions like `dot` (for inner product) and `inv` (for inverse) are also provided.\n",
    "\n",
    "The final line of the model defines `Y_obs`, the sampling distribution of the outcomes in the dataset.\n",
    "\n",
    "```python\n",
    "Y_obs = Normal('Y_obs', mu=mu, sigma=sigma, observed=Y)\n",
    "```\n",
    "\n",
    "This is a special case of a stochastic variable that we call an **observed stochastic**, and represents the data likelihood of the model. It is identical to a standard stochastic, except that its `observed` argument, which passes the data to the variable, indicates that the values for this variable were observed, and should not be changed by any fitting algorithm applied to the model. The data can be passed in the form of either a {class}`~numpy.ndarray` or {class}`~pandas.DataFrame` object.\n",
    "\n",
    "Notice that, unlike for the priors of the model, the parameters for the normal distribution of `Y_obs` are not fixed values, but rather are the deterministic object `mu` and the stochastic `sigma`. This creates parent-child relationships between the likelihood and these two variables."
   ]
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "de18057d6e21d7d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [alpha, beta, sigma]\n"
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    {
     "data": {
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       "model_id": "d2879d64ff0f4c8a9492cd899e39af28",
       "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"
      ],
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     "name": "stderr",
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     "text": [
      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
     ]
    }
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   "source": [
    "with basic_model:\n",
    "    # draw 1000 posterior samples\n",
    "    idata = pm.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12a7966ad6363e34",
   "metadata": {},
   "source": [
    "The {mod}`~pymc.sample` function runs the step method(s) assigned (or passed) to it for the given number of iterations and returns an {class}`~arviz.InferenceData` object containing the samples collected, along with other useful attributes like statistics of the sampling run and a copy of the observed data. Notice that `sample` generated a set of parallel chains, depending on how many compute cores are on your machine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fc00a9d50c04f2e2",
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       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 0B\n",
       "Dimensions:  ()\n",
       "Data variables:\n",
       "    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataTree</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e01bbdab-bb1b-4cea-b6b3-7156fe4f66d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-e01bbdab-bb1b-4cea-b6b3-7156fe4f66d4' class='xr-section-summary' >Groups: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 136kB\n",
       "Dimensions:     (chain: 4, draw: 1000, beta_dim_0: 2)\n",
       "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",
       "  * beta_dim_0  (beta_dim_0) int64 16B 0 1\n",
       "Data variables:\n",
       "    alpha       (chain, draw) float64 32kB 1.35 1.108 1.19 ... 1.094 1.118 1.204\n",
       "    beta        (chain, draw, beta_dim_0) float64 64kB 0.9844 2.847 ... 2.95\n",
       "    sigma       (chain, draw) float64 32kB 1.082 0.9908 1.002 ... 1.03 0.9631\n",
       "Attributes:\n",
       "    created_at:                 2026-03-19T09:27:10.651321+00:00\n",
       "    creation_library:           ArviZ\n",
       "    creation_library_version:   1.0.0\n",
       "    creation_library_language:  Python</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>posterior</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2b9283f2-c840-4e84-a218-551e2cc2b0d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b9283f2-c840-4e84-a218-551e2cc2b0d7' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-37e6163e-69a3-4203-9f3e-85c35e871ea5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37e6163e-69a3-4203-9f3e-85c35e871ea5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li><li><span class='xr-has-index'>beta_dim_0</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1ac41305-3945-4974-aea8-bd6ff53a47ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ac41305-3945-4974-aea8-bd6ff53a47ae' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-be3f40b1-a0df-4452-9038-dc975fcc47e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be3f40b1-a0df-4452-9038-dc975fcc47e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aaf6643-12a6-4bfb-a2a4-c8763f00fe30' class='xr-var-data-in' type='checkbox'><label for='data-0aaf6643-12a6-4bfb-a2a4-c8763f00fe30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-76d3f1d6-db78-4be4-9201-e1741a287578' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76d3f1d6-db78-4be4-9201-e1741a287578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-797a06b3-b582-4a82-8b12-3c5b53ca292b' class='xr-var-data-in' type='checkbox'><label for='data-797a06b3-b582-4a82-8b12-3c5b53ca292b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beta_dim_0</span></div><div class='xr-var-dims'>(beta_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-bc3f0fbe-f87d-45bd-805e-dc4628357f1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc3f0fbe-f87d-45bd-805e-dc4628357f1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad8f352d-1252-4082-8c2f-8955ca70ad66' class='xr-var-data-in' type='checkbox'><label for='data-ad8f352d-1252-4082-8c2f-8955ca70ad66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f837bb6d-c37a-4b1b-b2d4-329a2b7fd646' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f837bb6d-c37a-4b1b-b2d4-329a2b7fd646' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>alpha</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.35 1.108 1.19 ... 1.118 1.204</div><input id='attrs-dd71fa03-7bcd-4298-ac54-eb28aa51bb21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd71fa03-7bcd-4298-ac54-eb28aa51bb21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bbfb77b-d86d-435d-a037-c6870c54a226' class='xr-var-data-in' type='checkbox'><label for='data-8bbfb77b-d86d-435d-a037-c6870c54a226' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.3502495 , 1.10756203, 1.18976878, ..., 1.09828663, 1.26300343,\n",
       "        1.17896777],\n",
       "       [1.0962998 , 1.14448198, 1.24355341, ..., 1.13189162, 1.15930344,\n",
       "        1.14663866],\n",
       "       [1.30016463, 0.89011685, 1.15048532, ..., 1.3468341 , 1.10183034,\n",
       "        1.14454957],\n",
       "       [1.15418114, 1.11937617, 1.21429332, ..., 1.0944868 , 1.1181938 ,\n",
       "        1.20402349]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(chain, draw, beta_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9844 2.847 0.8255 ... 0.9802 2.95</div><input id='attrs-8736623f-b7ff-4abe-8972-f9c2760db5b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8736623f-b7ff-4abe-8972-f9c2760db5b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16504a55-ebf4-47a5-8146-b9fd93b1db9b' class='xr-var-data-in' type='checkbox'><label for='data-16504a55-ebf4-47a5-8146-b9fd93b1db9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.9843826 , 2.84714684],\n",
       "        [0.82547045, 2.56248085],\n",
       "        [1.18470796, 1.70019231],\n",
       "        ...,\n",
       "        [0.95813616, 2.63081075],\n",
       "        [1.01935181, 2.85560011],\n",
       "        [0.84396728, 2.08308547]],\n",
       "\n",
       "       [[0.81783703, 2.04163997],\n",
       "        [1.10564517, 2.48573561],\n",
       "        [0.89061052, 2.03265753],\n",
       "        ...,\n",
       "        [0.95584441, 2.33783194],\n",
       "        [1.050652  , 1.9621954 ],\n",
       "        [0.90992522, 2.84503989]],\n",
       "\n",
       "       [[1.13312094, 2.68040412],\n",
       "        [0.96626619, 1.87054259],\n",
       "        [0.88054891, 1.97090367],\n",
       "        ...,\n",
       "        [1.05774409, 2.12295165],\n",
       "        [0.99870773, 3.22927892],\n",
       "        [1.00542589, 1.4695947 ]],\n",
       "\n",
       "       [[0.98066238, 2.24709166],\n",
       "        [1.00327662, 2.30589674],\n",
       "        [0.91874426, 2.48013724],\n",
       "        ...,\n",
       "        [0.97897784, 2.38573311],\n",
       "        [1.07610698, 1.63840519],\n",
       "        [0.98019438, 2.94977837]]], shape=(4, 1000, 2))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigma</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.082 0.9908 1.002 ... 1.03 0.9631</div><input id='attrs-1ec5339c-d9b8-4c07-aca5-260c37d9c035' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ec5339c-d9b8-4c07-aca5-260c37d9c035' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e56e0243-c6eb-40df-b193-1d6513eb52c9' class='xr-var-data-in' type='checkbox'><label for='data-e56e0243-c6eb-40df-b193-1d6513eb52c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.08234638, 0.99080376, 1.00175339, ..., 1.03573023, 1.20604008,\n",
       "        0.98196284],\n",
       "       [0.89277201, 1.03570792, 1.08359919, ..., 0.95723977, 1.01969813,\n",
       "        0.91726453],\n",
       "       [1.06238363, 1.02062729, 1.0049164 , ..., 1.03469696, 1.04961282,\n",
       "        0.96805843],\n",
       "       [0.95040831, 1.05986965, 1.02516018, ..., 0.92653838, 1.02971225,\n",
       "        0.96307065]], shape=(4, 1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4016e78-3d02-4e53-a0d3-14e7b628db1d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4016e78-3d02-4e53-a0d3-14e7b628db1d' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-03-19T09:27:10.651321+00:00</dd><dt><span>creation_library :</span></dt><dd>ArviZ</dd><dt><span>creation_library_version :</span></dt><dd>1.0.0</dd><dt><span>creation_library_language :</span></dt><dd>Python</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 100%;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
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       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
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       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
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       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
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       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
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       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 528kB\n",
       "Dimensions:                (chain: 4, draw: 1000)\n",
       "Coordinates:\n",
       "  * chain                  (chain) int64 32B 0 1 2 3\n",
       "  * draw                   (draw) int64 8kB 0 1 2 3 4 5 ... 995 996 997 998 999\n",
       "Data variables: (12/18)\n",
       "    index_in_trajectory    (chain, draw) int64 32kB 2 -2 -3 2 -1 ... -2 3 1 -1 3\n",
       "    step_size              (chain, draw) float64 32kB 1.005 1.005 ... 1.343\n",
       "    perf_counter_diff      (chain, draw) float64 32kB 0.0003361 ... 0.0001629\n",
       "    largest_eigval         (chain, draw) float64 32kB nan nan nan ... nan nan\n",
       "    step_size_bar          (chain, draw) float64 32kB 0.9526 0.9526 ... 0.9614\n",
       "    process_time_diff      (chain, draw) float64 32kB 0.0003362 ... 0.0001632\n",
       "    ...                     ...\n",
       "    reached_max_treedepth  (chain, draw) bool 4kB False False ... False False\n",
       "    energy                 (chain, draw) float64 32kB 155.3 155.0 ... 153.0\n",
       "    smallest_eigval        (chain, draw) float64 32kB nan nan nan ... nan nan\n",
       "    acceptance_rate        (chain, draw) float64 32kB 0.6756 1.0 ... 0.9228\n",
       "    perf_counter_start     (chain, draw) float64 32kB 1.031e+04 ... 1.031e+04\n",
       "    lp                     (chain, draw) float64 32kB -154.0 -153.0 ... -152.3\n",
       "Attributes:\n",
       "    created_at:                 2026-03-19T09:27:10.665622+00:00\n",
       "    creation_library:           ArviZ\n",
       "    creation_library_version:   1.0.0\n",
       "    creation_library_language:  Python</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>sample_stats</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ae348f5e-f1e8-4ab3-84c8-5c1336b18606' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae348f5e-f1e8-4ab3-84c8-5c1336b18606' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-e1d97198-ad54-48e4-9c6a-32fa23d0d5a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1d97198-ad54-48e4-9c6a-32fa23d0d5a8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 1000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-379ea259-6891-44a8-be3b-4ea4fa083f71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-379ea259-6891-44a8-be3b-4ea4fa083f71' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-883e1ae5-d1e3-4bfc-8c17-c212bc446052' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-883e1ae5-d1e3-4bfc-8c17-c212bc446052' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6db81ec-3252-4257-b69c-400ee5fc2321' class='xr-var-data-in' type='checkbox'><label for='data-f6db81ec-3252-4257-b69c-400ee5fc2321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 995 996 997 998 999</div><input id='attrs-c7cd248f-18cb-40b5-a9d4-a520190e4847' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7cd248f-18cb-40b5-a9d4-a520190e4847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96cc41fd-c7a2-4905-beb7-d321b066390f' class='xr-var-data-in' type='checkbox'><label for='data-96cc41fd-c7a2-4905-beb7-d321b066390f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7f01f2b-3fc9-4d39-a377-a68f37762ede' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7f01f2b-3fc9-4d39-a377-a68f37762ede' class='xr-section-summary' >Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>index_in_trajectory</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2 -2 -3 2 -1 2 3 ... -1 -2 3 1 -1 3</div><input id='attrs-9425f27c-c9b2-4262-b885-864fe4553ff1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9425f27c-c9b2-4262-b885-864fe4553ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de1add83-f852-450a-b0b5-e3c682e934b1' class='xr-var-data-in' type='checkbox'><label for='data-de1add83-f852-450a-b0b5-e3c682e934b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2, -2, -3, ..., -2,  2, -2],\n",
       "       [ 2, -2, -2, ..., -2,  3, -2],\n",
       "       [ 3,  2,  1, ...,  2,  2, -3],\n",
       "       [ 2,  2, -3, ...,  1, -1,  3]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005 1.005 1.005 ... 1.343 1.343</div><input id='attrs-c083fb9e-d386-4e17-961a-7c1cf5197fa2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c083fb9e-d386-4e17-961a-7c1cf5197fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92727617-05af-4cbb-a8b1-e601dcb730af' class='xr-var-data-in' type='checkbox'><label for='data-92727617-05af-4cbb-a8b1-e601dcb730af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.00531991, 1.00531991, 1.00531991, ..., 1.00531991, 1.00531991,\n",
       "        1.00531991],\n",
       "       [0.94506689, 0.94506689, 0.94506689, ..., 0.94506689, 0.94506689,\n",
       "        0.94506689],\n",
       "       [0.99672293, 0.99672293, 0.99672293, ..., 0.99672293, 0.99672293,\n",
       "        0.99672293],\n",
       "       [1.34278573, 1.34278573, 1.34278573, ..., 1.34278573, 1.34278573,\n",
       "        1.34278573]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0003361 0.0001721 ... 0.0001629</div><input id='attrs-26497a1c-13bb-43fc-9bd5-8c3dcf4b400c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26497a1c-13bb-43fc-9bd5-8c3dcf4b400c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6df4d9b-0844-4e15-9d20-297eca3c9879' class='xr-var-data-in' type='checkbox'><label for='data-b6df4d9b-0844-4e15-9d20-297eca3c9879' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00033606, 0.00017205, 0.0001695 , ..., 0.00031703, 0.00029719,\n",
       "        0.00033651],\n",
       "       [0.00030282, 0.00029907, 0.00029171, ..., 0.00017385, 0.00017016,\n",
       "        0.00018402],\n",
       "       [0.00026498, 0.00030159, 0.00022222, ..., 0.00017087, 0.00016591,\n",
       "        0.00016959],\n",
       "       [0.00030876, 0.00030643, 0.00030592, ..., 0.00017143, 0.00016671,\n",
       "        0.0001629 ]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>largest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a2a4cb84-4452-4beb-879f-a8ffad5818b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2a4cb84-4452-4beb-879f-a8ffad5818b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac75bf1-a5d6-4f77-9657-191e541216b7' class='xr-var-data-in' type='checkbox'><label for='data-5ac75bf1-a5d6-4f77-9657-191e541216b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step_size_bar</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9526 0.9526 ... 0.9614 0.9614</div><input id='attrs-7056369e-e407-48e0-9e4c-7e4479248d8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7056369e-e407-48e0-9e4c-7e4479248d8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5889268-607b-4b36-b73f-2ae4af49b3cf' class='xr-var-data-in' type='checkbox'><label for='data-a5889268-607b-4b36-b73f-2ae4af49b3cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.95256627, 0.95256627, 0.95256627, ..., 0.95256627, 0.95256627,\n",
       "        0.95256627],\n",
       "       [0.98954574, 0.98954574, 0.98954574, ..., 0.98954574, 0.98954574,\n",
       "        0.98954574],\n",
       "       [1.00347655, 1.00347655, 1.00347655, ..., 1.00347655, 1.00347655,\n",
       "        1.00347655],\n",
       "       [0.96136123, 0.96136123, 0.96136123, ..., 0.96136123, 0.96136123,\n",
       "        0.96136123]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>process_time_diff</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0003362 0.0001721 ... 0.0001632</div><input id='attrs-71db78b1-1ef8-493e-9359-a084b3246a66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71db78b1-1ef8-493e-9359-a084b3246a66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1538a682-b462-4fc9-8d4b-be596e633947' class='xr-var-data-in' type='checkbox'><label for='data-1538a682-b462-4fc9-8d4b-be596e633947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00033616, 0.0001721 , 0.00016953, ..., 0.00031735, 0.00029729,\n",
       "        0.00033672],\n",
       "       [0.00030291, 0.0002992 , 0.00029178, ..., 0.00017395, 0.00017021,\n",
       "        0.00018443],\n",
       "       [0.00026532, 0.00030177, 0.00022232, ..., 0.00017097, 0.00016596,\n",
       "        0.00016968],\n",
       "       [0.00030873, 0.00030652, 0.00030603, ..., 0.0001717 , 0.00016678,\n",
       "        0.00016317]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>divergences</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-29d5a45e-f43e-4e79-a4df-71f17c66aed3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29d5a45e-f43e-4e79-a4df-71f17c66aed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479c6446-83cf-4720-898f-d83a89a6d773' class='xr-var-data-in' type='checkbox'><label for='data-479c6446-83cf-4720-898f-d83a89a6d773' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3859 -0.1463 ... 0.1414 0.1056</div><input id='attrs-50733b98-c64c-47ad-8262-5c2d9d7cb80f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50733b98-c64c-47ad-8262-5c2d9d7cb80f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa534e41-fba9-460c-96f1-0a8ef3f66fc8' class='xr-var-data-in' type='checkbox'><label for='data-aa534e41-fba9-460c-96f1-0a8ef3f66fc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.38589939, -0.14625416,  0.01774034, ..., -0.26452471,\n",
       "         0.70210825, -0.5659239 ],\n",
       "       [ 0.67123822, -0.28100848,  0.19419086, ...,  0.02035881,\n",
       "         0.00187563,  0.31624981],\n",
       "       [-0.38848127,  0.2493163 , -0.78408468, ...,  0.43899853,\n",
       "         0.00262084, -0.40310093],\n",
       "       [-0.39929626,  0.08955646,  0.05400774, ..., -0.71685491,\n",
       "         0.14136387,  0.10561215]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_energy_error</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5817 -0.1463 ... 0.5638 0.1217</div><input id='attrs-108c101c-2236-479b-83ec-1d33a67ba640' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-108c101c-2236-479b-83ec-1d33a67ba640' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cefe173-528a-4fbb-bb26-8f85357d7d12' class='xr-var-data-in' type='checkbox'><label for='data-4cefe173-528a-4fbb-bb26-8f85357d7d12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.58171982, -0.14625416, -0.2813519 , ..., -0.27935244,\n",
       "         0.70210825, -0.5659239 ],\n",
       "       [ 0.67123822, -0.30452298,  0.32943517, ...,  1.31268459,\n",
       "        -0.04361524,  0.4953946 ],\n",
       "       [-0.73605352,  0.2493163 , -0.78408468, ...,  1.13257936,\n",
       "         0.27526958, -0.40310093],\n",
       "       [-0.39929626,  0.12214835,  0.72376612, ..., -0.71685491,\n",
       "         0.56383695,  0.12174074]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_steps</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0 3.0 3.0 3.0 ... 3.0 3.0 3.0 3.0</div><input id='attrs-618aae75-9115-4ff2-91fc-9767983f435d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-618aae75-9115-4ff2-91fc-9767983f435d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ca3d3d0-cae4-40a5-a09c-94309a7d2c12' class='xr-var-data-in' type='checkbox'><label for='data-3ca3d3d0-cae4-40a5-a09c-94309a7d2c12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7., 3., 3., ..., 3., 3., 3.],\n",
       "       [3., 3., 3., ..., 3., 3., 3.],\n",
       "       [3., 3., 3., ..., 3., 3., 3.],\n",
       "       [3., 3., 3., ..., 3., 3., 3.]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>diverging</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-2f3bc5da-80ab-4f3f-9cdc-3383e204d6f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f3bc5da-80ab-4f3f-9cdc-3383e204d6f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-775c3fe4-f476-420d-9f20-4fe3f2356b79' class='xr-var-data-in' type='checkbox'><label for='data-775c3fe4-f476-420d-9f20-4fe3f2356b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tree_depth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 2 2 2 2 3 2 2 ... 2 2 2 2 2 2 2 2</div><input id='attrs-2cda2508-af12-469c-a290-fb4a72b4b6df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2cda2508-af12-469c-a290-fb4a72b4b6df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09d34204-894d-4761-af3f-068dae2c9033' class='xr-var-data-in' type='checkbox'><label for='data-09d34204-894d-4761-af3f-068dae2c9033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3, 2, 2, ..., 2, 2, 2],\n",
       "       [2, 2, 2, ..., 2, 2, 2],\n",
       "       [2, 2, 2, ..., 2, 2, 2],\n",
       "       [2, 2, 2, ..., 2, 2, 2]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reached_max_treedepth</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False False False ... False False</div><input id='attrs-08d3d0b0-9e47-4485-aa86-f95727e17eb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08d3d0b0-9e47-4485-aa86-f95727e17eb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33a8db4b-b573-476e-acb6-94198a97f4bf' class='xr-var-data-in' type='checkbox'><label for='data-33a8db4b-b573-476e-acb6-94198a97f4bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False, False]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>155.3 155.0 153.5 ... 153.6 153.0</div><input id='attrs-c2ce2eb9-2d0c-4260-a42e-2f81d4df715b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2ce2eb9-2d0c-4260-a42e-2f81d4df715b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dda3b0c5-5767-4602-a5d5-fe99a4906205' class='xr-var-data-in' type='checkbox'><label for='data-dda3b0c5-5767-4602-a5d5-fe99a4906205' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[155.32124924, 155.01131361, 153.521584  , ..., 153.54570507,\n",
       "        156.33775462, 155.72544875],\n",
       "       [155.05576414, 156.16478989, 153.83768056, ..., 153.77693274,\n",
       "        151.58515139, 153.51396205],\n",
       "       [156.11039041, 155.84239643, 155.1092131 , ..., 155.16746002,\n",
       "        155.34242085, 154.19105728],\n",
       "       [153.30292824, 151.76719672, 155.28811214, ..., 153.62063143,\n",
       "        153.58796263, 152.95464909]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smallest_eigval</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7b8639d3-f8a0-4a6b-9a2b-75bf12504aa5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b8639d3-f8a0-4a6b-9a2b-75bf12504aa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba7bf444-1ad4-4109-b351-eb6c71588160' class='xr-var-data-in' type='checkbox'><label for='data-ba7bf444-1ad4-4109-b351-eb6c71588160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acceptance_rate</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6756 1.0 0.9941 ... 0.6957 0.9228</div><input id='attrs-ed5f4070-5612-4c6d-91f6-6159a0667025' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed5f4070-5612-4c6d-91f6-6159a0667025' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3d9ca81-4a56-410f-8523-8c6835cf11d7' class='xr-var-data-in' type='checkbox'><label for='data-a3d9ca81-4a56-410f-8523-8c6835cf11d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.67564311, 1.        , 0.9941387 , ..., 1.        , 0.57633034,\n",
       "        1.        ],\n",
       "       [0.83702512, 1.        , 0.80258123, ..., 0.57903344, 0.9917657 ,\n",
       "        0.69793032],\n",
       "       [0.95964194, 0.92644448, 1.        , ..., 0.45309257, 0.91361817,\n",
       "        0.94681319],\n",
       "       [0.83880853, 0.92383458, 0.64538128, ..., 0.98331955, 0.69572431,\n",
       "        0.92282468]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>perf_counter_start</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.031e+04 1.031e+04 ... 1.031e+04</div><input id='attrs-f7fd442f-057b-4951-a137-88ed61ce5bae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7fd442f-057b-4951-a137-88ed61ce5bae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ecdebaf-9383-45cb-880d-dcb17bf63e35' class='xr-var-data-in' type='checkbox'><label for='data-3ecdebaf-9383-45cb-880d-dcb17bf63e35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[10305.48689386, 10305.48730233, 10305.48754142, ...,\n",
       "        10305.90136068, 10305.90177862, 10305.90216823],\n",
       "       [10305.60256296, 10305.6029584 , 10305.60334757, ...,\n",
       "        10306.05244596, 10306.05267809, 10306.05290593],\n",
       "       [10305.4962966 , 10305.49666682, 10305.49706777, ...,\n",
       "        10305.93015465, 10305.93038164, 10305.93060329],\n",
       "       [10305.65223611, 10305.65264699, 10305.65305254, ...,\n",
       "        10306.11410195, 10306.11433441, 10306.11456072]], shape=(4, 1000))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lp</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-154.0 -153.0 ... -152.0 -152.3</div><input id='attrs-9e6791c4-f7f3-44fe-b6b4-5590787de190' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e6791c4-f7f3-44fe-b6b4-5590787de190' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8e8cfb2-a2aa-4117-a643-e9bccdc9beb8' class='xr-var-data-in' type='checkbox'><label for='data-c8e8cfb2-a2aa-4117-a643-e9bccdc9beb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-154.02502419, -152.98523944, -153.16482811, ..., -151.88162427,\n",
       "        -155.57623398, -152.5656217 ],\n",
       "       [-154.84404827, -152.08427912, -152.89077868, ..., -151.40072724,\n",
       "        -151.4074117 , -152.93542227],\n",
       "       [-153.88426091, -154.7587328 , -152.07834343, ..., -153.28214191,\n",
       "        -153.40859739, -152.17604276],\n",
       "       [-151.30791755, -151.67280018, -151.79890224, ..., -151.88156952,\n",
       "        -151.99833248, -152.33695964]], shape=(4, 1000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b0d8dfc-f894-478d-8bbb-b81cbf535b7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b0d8dfc-f894-478d-8bbb-b81cbf535b7a' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-03-19T09:27:10.665622+00:00</dd><dt><span>creation_library :</span></dt><dd>ArviZ</dd><dt><span>creation_library_version :</span></dt><dd>1.0.0</dd><dt><span>creation_library_language :</span></dt><dd>Python</dd></dl></div></li></ul></div></div></div></div><div style='display: inline-grid; grid-template-columns: 0px 20px auto; width: 100%;'><div style='grid-column-start: 1;border-right: 0.2em solid;border-color: var(--xr-border-color);height: 1.2em;width: 0px;'></div><div style='grid-column-start: 2;grid-row-start: 1;height: 1em;width: 20px;border-bottom: 0.2em solid;border-color: var(--xr-border-color);'></div><div style='grid-column-start: 3;'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
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       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
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       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
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       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
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       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
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       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
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       "\n",
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       "\n",
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       "  display: contents;\n",
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       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
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       "}\n",
       "\n",
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       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DatasetView&gt; Size: 2kB\n",
       "Dimensions:      (Y_obs_dim_0: 100)\n",
       "Coordinates:\n",
       "  * Y_obs_dim_0  (Y_obs_dim_0) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
       "Data variables:\n",
       "    Y_obs        (Y_obs_dim_0) float64 800B 0.6 3.409 0.8014 ... 3.107 0.347\n",
       "Attributes:\n",
       "    created_at:                 2026-03-19T09:27:10.682738+00:00\n",
       "    creation_library:           ArviZ\n",
       "    creation_library_version:   1.0.0\n",
       "    creation_library_language:  Python</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>observed_data</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f0d1577d-85c1-4c82-9992-f59f3166aea6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0d1577d-85c1-4c82-9992-f59f3166aea6' class='xr-section-summary'  title='Expand/collapse section'>Groups: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><div style='display: inline-grid; grid-template-columns: 100%; grid-column: 1 / -1'></div></div></li><li class='xr-section-item'><input id='section-03bdb39e-7d1b-4501-b468-329589f3a7cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03bdb39e-7d1b-4501-b468-329589f3a7cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>Y_obs_dim_0</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4e1b43ba-7efd-4072-8e7c-1ebe96810dfc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e1b43ba-7efd-4072-8e7c-1ebe96810dfc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Y_obs_dim_0</span></div><div class='xr-var-dims'>(Y_obs_dim_0)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-f93ca900-d265-4b73-b45b-5aa8afb983b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f93ca900-d265-4b73-b45b-5aa8afb983b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7962245f-1df5-498e-944d-bd68c9a59087' class='xr-var-data-in' type='checkbox'><label for='data-7962245f-1df5-498e-944d-bd68c9a59087' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4569d19-913f-48e5-a518-dab449524f6e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4569d19-913f-48e5-a518-dab449524f6e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Y_obs</span></div><div class='xr-var-dims'>(Y_obs_dim_0)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6 3.409 0.8014 ... 3.107 0.347</div><input id='attrs-c6f4389f-5962-4f24-a433-1821c47478b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6f4389f-5962-4f24-a433-1821c47478b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-982f9afa-f67d-4285-8176-f56f66497856' class='xr-var-data-in' type='checkbox'><label for='data-982f9afa-f67d-4285-8176-f56f66497856' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.60004302,  3.40858712,  0.80142357,  1.76495184,  1.2285636 ,\n",
       "        2.99114687,  0.75744102, -0.6441996 ,  0.65993258,  0.57905656,\n",
       "        0.79633042,  0.6304948 ,  1.74048222, -1.33231332, -0.65686354,\n",
       "        4.24166431, -0.16632237,  2.54777731, -1.12711429,  2.74618211,\n",
       "        0.44728594, -0.15180499,  0.07815991,  2.53716358,  1.89964186,\n",
       "       -0.63694226,  1.29227005,  0.34973589,  1.91451732,  3.54193444,\n",
       "        0.77157482,  0.08477837,  0.5760056 ,  0.44397197,  0.48654572,\n",
       "        1.38368284,  0.32683998,  2.27292232,  2.08666476, -0.74940156,\n",
       "       -0.63111824, -1.66800542,  0.74587171,  0.71146039,  2.11726183,\n",
       "        1.80423075,  3.37166201, -0.194082  ,  0.83534151,  3.19541003,\n",
       "       -0.12754254,  0.66202366,  3.42099774,  2.29971625,  1.40227736,\n",
       "        1.77050487,  2.22536046, -0.47712916,  2.98897392, -2.11509729,\n",
       "        0.89853699,  1.71426012,  2.53328036,  0.30591395,  4.15259096,\n",
       "        2.6274439 ,  0.71030911,  2.04454055,  1.08277472,  2.73769193,\n",
       "        2.27074147,  0.55529454,  0.93658125,  1.48456488, -0.38913494,\n",
       "        2.21150396,  2.91049607,  1.59933926,  0.99320753,  1.22514898,\n",
       "        0.00672335,  2.28422615, -3.06204433, -2.68342762,  4.07438339,\n",
       "        0.98040304,  0.02776248,  1.18477154,  2.49112741,  0.62359196,\n",
       "        2.3724963 , -0.62430907, -0.78615642,  3.77940154,  2.46869915,\n",
       "       -1.80396644,  3.90303405,  2.1230824 ,  3.10675996,  0.34698166])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b6d03bf-827a-4b95-91b6-a6923fc72162' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b6d03bf-827a-4b95-91b6-a6923fc72162' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>created_at :</span></dt><dd>2026-03-19T09:27:10.682738+00:00</dd><dt><span>creation_library :</span></dt><dd>ArviZ</dd><dt><span>creation_library_version :</span></dt><dd>1.0.0</dd><dt><span>creation_library_language :</span></dt><dd>Python</dd></dl></div></li></ul></div></div></div></div></div></div></li><li class='xr-section-item'><input id='section-e24b9da2-d6a7-4616-999f-9f40e09a6d1b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e24b9da2-d6a7-4616-999f-9f40e09a6d1b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c5ec3112-e796-4d9f-8e70-babf025f02b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5ec3112-e796-4d9f-8e70-babf025f02b6' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a799cac0-c1a2-4065-9e31-5495e91fe287' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a799cac0-c1a2-4065-9e31-5495e91fe287' class='xr-section-summary'  title='Expand/collapse section'>Inherited coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-57ddd801-6dc4-4ac5-8245-bd35195be990' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-57ddd801-6dc4-4ac5-8245-bd35195be990' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e0bfe947-c984-4a9e-9dae-d4429343478b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e0bfe947-c984-4a9e-9dae-d4429343478b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataTree>\n",
       "Group: /\n",
       "├── Group: /posterior\n",
       "│       Dimensions:     (chain: 4, draw: 1000, beta_dim_0: 2)\n",
       "│       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",
       "│         * beta_dim_0  (beta_dim_0) int64 16B 0 1\n",
       "│       Data variables:\n",
       "│           alpha       (chain, draw) float64 32kB 1.35 1.108 1.19 ... 1.094 1.118 1.204\n",
       "│           beta        (chain, draw, beta_dim_0) float64 64kB 0.9844 2.847 ... 2.95\n",
       "│           sigma       (chain, draw) float64 32kB 1.082 0.9908 1.002 ... 1.03 0.9631\n",
       "│       Attributes:\n",
       "│           created_at:                 2026-03-19T09:27:10.651321+00:00\n",
       "│           creation_library:           ArviZ\n",
       "│           creation_library_version:   1.0.0\n",
       "│           creation_library_language:  Python\n",
       "├── Group: /sample_stats\n",
       "│       Dimensions:                (chain: 4, draw: 1000)\n",
       "│       Coordinates:\n",
       "│         * chain                  (chain) int64 32B 0 1 2 3\n",
       "│         * draw                   (draw) int64 8kB 0 1 2 3 4 5 ... 995 996 997 998 999\n",
       "│       Data variables: (12/18)\n",
       "│           index_in_trajectory    (chain, draw) int64 32kB 2 -2 -3 2 -1 ... -2 3 1 -1 3\n",
       "│           step_size              (chain, draw) float64 32kB 1.005 1.005 ... 1.343\n",
       "│           perf_counter_diff      (chain, draw) float64 32kB 0.0003361 ... 0.0001629\n",
       "│           largest_eigval         (chain, draw) float64 32kB nan nan nan ... nan nan\n",
       "│           step_size_bar          (chain, draw) float64 32kB 0.9526 0.9526 ... 0.9614\n",
       "│           process_time_diff      (chain, draw) float64 32kB 0.0003362 ... 0.0001632\n",
       "│           ...                     ...\n",
       "│           reached_max_treedepth  (chain, draw) bool 4kB False False ... False False\n",
       "│           energy                 (chain, draw) float64 32kB 155.3 155.0 ... 153.0\n",
       "│           smallest_eigval        (chain, draw) float64 32kB nan nan nan ... nan nan\n",
       "│           acceptance_rate        (chain, draw) float64 32kB 0.6756 1.0 ... 0.9228\n",
       "│           perf_counter_start     (chain, draw) float64 32kB 1.031e+04 ... 1.031e+04\n",
       "│           lp                     (chain, draw) float64 32kB -154.0 -153.0 ... -152.3\n",
       "│       Attributes:\n",
       "│           created_at:                 2026-03-19T09:27:10.665622+00:00\n",
       "│           creation_library:           ArviZ\n",
       "│           creation_library_version:   1.0.0\n",
       "│           creation_library_language:  Python\n",
       "└── Group: /observed_data\n",
       "        Dimensions:      (Y_obs_dim_0: 100)\n",
       "        Coordinates:\n",
       "          * Y_obs_dim_0  (Y_obs_dim_0) int64 800B 0 1 2 3 4 5 6 ... 93 94 95 96 97 98 99\n",
       "        Data variables:\n",
       "            Y_obs        (Y_obs_dim_0) float64 800B 0.6 3.409 0.8014 ... 3.107 0.347\n",
       "        Attributes:\n",
       "            created_at:                 2026-03-19T09:27:10.682738+00:00\n",
       "            creation_library:           ArviZ\n",
       "            creation_library_version:   1.0.0\n",
       "            creation_library_language:  Python"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a23afd87c80eba7",
   "metadata": {},
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    "The various attributes of the `InferenceData` object can be queried in a similar way to a `dict` containing a map from variable names to `numpy.array`s. For example, we can retrieve the sampling trace from the `alpha` latent variable by using the variable name as an index to the `idata.posterior` attribute. The first dimension of the returned array is the chain index, the second dimension is the sampling index, while the later dimensions match the shape of the variable. We can see the first 5 values for the `alpha` variable in each chain as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "33524ca70c3e2f26",
   "metadata": {},
   "outputs": [
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       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;alpha&#x27; (chain: 4, draw: 5)&gt; Size: 160B\n",
       "array([[1.3502495 , 1.10756203, 1.18976878, 1.05750601, 0.99602188],\n",
       "       [1.0962998 , 1.14448198, 1.24355341, 1.04907525, 1.21120406],\n",
       "       [1.30016463, 0.89011685, 1.15048532, 1.01783174, 1.22092889],\n",
       "       [1.15418114, 1.11937617, 1.21429332, 1.24563103, 1.15652209]])\n",
       "Coordinates:\n",
       "  * chain    (chain) int64 32B 0 1 2 3\n",
       "  * draw     (draw) int64 40B 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'alpha'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 4</li><li><span class='xr-has-index'>draw</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-52a86628-0bda-4ebb-985e-50d9b0fd6c03' class='xr-array-in' type='checkbox' checked><label for='section-52a86628-0bda-4ebb-985e-50d9b0fd6c03' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.35 1.108 1.19 1.058 0.996 1.096 ... 1.154 1.119 1.214 1.246 1.157</span></div><div class='xr-array-data'><pre>array([[1.3502495 , 1.10756203, 1.18976878, 1.05750601, 0.99602188],\n",
       "       [1.0962998 , 1.14448198, 1.24355341, 1.04907525, 1.21120406],\n",
       "       [1.30016463, 0.89011685, 1.15048532, 1.01783174, 1.22092889],\n",
       "       [1.15418114, 1.11937617, 1.21429332, 1.24563103, 1.15652209]])</pre></div></div></li><li class='xr-section-item'><input id='section-e08d9bec-9bfb-4a85-bd5f-bbcc13b286f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e08d9bec-9bfb-4a85-bd5f-bbcc13b286f7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-554ddbc5-f1f2-47eb-af90-9c4de41ec547' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-554ddbc5-f1f2-47eb-af90-9c4de41ec547' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be15c323-c6af-4fea-b582-4053c621609a' class='xr-var-data-in' type='checkbox'><label for='data-be15c323-c6af-4fea-b582-4053c621609a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-87f27e7a-87ba-4116-bc38-d8d0c375e28b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87f27e7a-87ba-4116-bc38-d8d0c375e28b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b144e3e-c311-425e-87ea-e1dc3e7241e9' class='xr-var-data-in' type='checkbox'><label for='data-9b144e3e-c311-425e-87ea-e1dc3e7241e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-937df0aa-61ab-421d-a5fb-7000d9950963' class='xr-section-summary-in' type='checkbox'  ><label for='section-937df0aa-61ab-421d-a5fb-7000d9950963' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8b5b54f7-b801-4016-93b2-1aad45523c53' class='xr-index-data-in' type='checkbox'/><label for='index-8b5b54f7-b801-4016-93b2-1aad45523c53' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d926ba01-c1cf-48ec-9a3b-a3fe814f7af6' class='xr-index-data-in' type='checkbox'/><label for='index-d926ba01-c1cf-48ec-9a3b-a3fe814f7af6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59217859-b0f6-4946-99c6-806409384e9d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59217859-b0f6-4946-99c6-806409384e9d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'alpha' (chain: 4, draw: 5)> Size: 160B\n",
       "array([[1.3502495 , 1.10756203, 1.18976878, 1.05750601, 0.99602188],\n",
       "       [1.0962998 , 1.14448198, 1.24355341, 1.04907525, 1.21120406],\n",
       "       [1.30016463, 0.89011685, 1.15048532, 1.01783174, 1.22092889],\n",
       "       [1.15418114, 1.11937617, 1.21429332, 1.24563103, 1.15652209]])\n",
       "Coordinates:\n",
       "  * chain    (chain) int64 32B 0 1 2 3\n",
       "  * draw     (draw) int64 40B 0 1 2 3 4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idata.posterior[\"alpha\"].sel(draw=slice(0, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "756219f7e68cb3ad",
   "metadata": {},
   "source": [
    "If we wanted to use the slice sampling algorithm to sample our parameters instead of NUTS (which was assigned automatically), we could have specified this as the `step` argument for `sample`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2495c749470fa822",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">Slice: [alpha]\n",
      ">Slice: [beta]\n",
      ">Slice: [sigma]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "73725bf46a9a4cfd9f75a5855060d1d9",
       "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 5_000 draw iterations (4_000 + 20_000 draws total) took 3 seconds.\n"
     ]
    }
   ],
   "source": [
    "with basic_model:\n",
    "    # instantiate sampler\n",
    "    step = pm.Slice()\n",
    "\n",
    "    # draw 5000 posterior samples\n",
    "    slice_idata = pm.sample(5000, step=step)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b11682b46f57b62c",
   "metadata": {},
   "source": [
    "### Posterior analysis\n",
    "`PyMC`'s plotting and diagnostics functionalities are now taken care of by a dedicated, platform-agnostic package named {doc}`Arviz <arviz:index>`. A simple posterior plot can be created using {mod}`~arviz.plot_trace`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a9ab80052638d75d",
   "metadata": {},
   "outputs": [
    {
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IGCYkhyUGAAAAANK05VSXPvv0QZk2pi32evSdy9ZoRRUp+AAAAG7xGoY+cd5SFXs9+s3hU7ae891dxzQQi+kdq+fLMGihBAAAAIDy8nJ1d3ef8fiMGTNcqMZ+DeXl5VmsBACSYxiGDEm0XAC5p7akSF0Ed6Wk2Ot1uwRMotTvldcwNLes2O1S8gKNkZnxqsUz5TUMxSxLW1u61TgQcrskAADgIO/p62ziYRMAAABIXjxwn/GpwuM9vZ/sZ38ZyAnVAWKYkBxiygEAAAAgDdvbevTRLfsVtTHw6fcY+uYlq7RhekUWKgMAAMBkPIahW85erH9fNc/2c36894Tu3H1cFie9AQAAAEDV1dXjPu7xuH850sjA5ZFfezweVVQwRg8gt3FNPpCbDnYPuF1C3uoMRdwuAZMo9RGsloxIjHNETqsJ+GVI8nkMlfu9hHYBAFCAPPHgLq/7Y8cAAAD5Kh7qRHBX4YnvL/tz4FoLpG9+WcDtEpCm6iK/2yUgzxD1BgAAAAAp2t/Vr1s21SkUMxNO6zWkL124QhfOqs58YQAAALDFMAy9d/1Clfg8+sGeBlvP+dWBRvWEo/rYeUuH7wgKAAAAAFPRypUrVV9fPyoYS5I6OztdqihxDUuXLj2jXgDINYYMSTRdACgcz7X1uF0CJkFwV3LMJBoj37pqnpZUlmh6cZE+srlOgzauL5qKOkIR/flYi8hEAwCgcMXzugjuAgAASF3R6VAnkzGUguMbDu7iWoZCcKKfGxPku6oAMUxIDqMdAAAAAJCC+p5BffCJveqPxmxN/+nzl+vqedMzXBUAAABS8bbV83XzWYttT/+H+hZ96qkDCtNgAQAAAGAKW79+/biP19XVZbmSxDVYliXDMLRhwwaXKgIAex450a4od0pHAbh+Ua3etXaBpgX8os0EpwZoUsllBHclJ5rEtK9cPFMvXVirF8ys0ppp5RmrqRAQ2gUAQGGL3xiviCACAECeIUQHucTvHVoeoyR3FZzTf9rh/9M1ryzgzIyAKaq6yO92CcgzBHcBAAAAQJKa+kN6/xN71Rmydzneh89erJcvqs1wVQAAAEjHv6yYo4+fu9R2E9k/Tnbolk116o/YC3IFAAAAgELzohe9aNzHH3300ewWMo7HHnts3MevvfbaLFcCAMlpD4bdLmFKoNkq82pLivSONfP11+sv0MWzqt0uBy7jM5fbSny0EyQjlkTA5shpP3vBcn31opWZKAlTwJxSmi0BjHbJrCp97NylqgnQSAr3JLOb7xkO7mLfEwCQX66ZW+N2CcAw/+l9KZMbwBSc+P5y0KF0+0sK9LzMOdMr9B9r5rtdBqaA6oDP7RKQZxjtAAAAAIAktAfDet/je9UyaO+i+XevXaAbls/JcFUAAABwwmuWztLnXrDc9sD5M63duunxPeoKRTJaFwAAAADkohe+8IWqqKgY/t4wDFmWpd///vcaHBx0sTLpnnvukWGM7hwzDEOvetWrXKoIAOzpCdu7cVC+uGx2tdZMK3O7jDMQJJV53hHb4bnc2X3K89Ocn9NKfV63S8grMdN+89wND20f/npOWUCLK0syUBGmAoK7AIy1qrpMr1pcq9qSIrdLwRR2+exptqeNh3wFvBwbAADySzIB3kCmxW+Q8E9LZrpcCZwWP6fi1D0wPLZvY51fllWV6ioCFZEF1UUEpSM5jHYAAAAAgE094ag+8MQ+negP2pr+X1fM0dtWz8twVQAAAHDSyxbW6ssXr5TPsHfScl9nv9716G6dGghluDIAAAAAyC1FRUV6xzveIWvMBetdXV264447XKpK+u1vf6v9+/cPf29ZlgzD0Ktf/WrNm8eYPYDc1hMprOCuE31BFeVYYI9Ho0Ol0jGj2K+3rJyrS2ZVOTK/QuIZ8R5fRFDalNdVYKGEhaZsguCuN63gJnXjMZMI7hqLkDSkqrE/6FjjJoDC8Iv9jbr5iTrNLiW4K59dPrs6rxs7n2zusj1t/Di8iOAuAECeeeRkh9slAMPi51tes3R2gcYyTV3e0wM/6ewtv3/DIn3uguX69PnLdNU8+yG7+SRiWoqmMT4L2FVZ5HO7BOQZRjsAAAAAwIaBaEwf2rRPh7oHbE3/6sUz9f4Ni2Q4dNE3AAAAsueF86brG5esUsDmFfDH+v4/e/cdH0ld/w/89ZmZ7ZtN7/WSuyTXK1fg4OggAoIoflEBC/q1gCDYQEX8gqKAFEHAitj1JyAKCHooBxwc7XqvuSSXXC69J1tmfn9sNrdJdnc+MzuzJXk/H4973F0yO/vZ2dnPfOaz837NCD7zyk409A2b3DJCCCGEEEIISS233HILnE7n+P8ZY1AUBXfeeScOHDiQ8PZ0dnbiy1/+8pS5eUEQ8M1vfjPh7SGEEK36plm4zdGBEWzr7E92MyYodtkMCb44vTgbT569EF9cWIkvL56F76+qxS2Lq+Jf8TQRHo52RnE21pVMzyIRQrRI1Yv2HVHCpM4ry6MCwAhmZTrwwGn1uG1ZtebHUnAX0ev4sBdUk0gImcwry1ic60l2M0gcPl5XCpclfccHPg0Hp9A5ooWSKAlJiJUFdHwghJDpKHwsRcOq6SU0XlbimJE9uzQHF1Xm45KqAizJy8R9a+pwz+o6fH9VrVHNTDqvLCOg0CQZMV+GhYK7iDa0xxBCCCGEEEKIitGAjK+9sQ87uwa4lj+3LBdfX1ZNoV2EEEIIIWnstOJsPHT6PNyycS8G/QHV5U8Me/HZDTvx4GlzMS/HnYAWEkIIIYQQQkjylZaW4q677sLNN988YU58YGAAH/jAB7Bhwwbk5+cnpC3Dw8O4/PLLcezYsfG2KIoCxhiuv/56LFu2LCHtIISQeEy34K5UZBGECaFSelw1uwg3LZ6FM//2FmRFgU0UYBXjX+90IoZtCsYYvr+qFle8tAXHh7zJaxQhSWYRBKwszMRrrd3JbsoEI/4ADvcN4fmGdrx+vBs+WYZfVuCTFYiMwU+FUBM4RQmnFmXj+NCo9sdKqRrfRgghJB01DQxjVWEmsCPZLSF6WQQGSRAAqF+Tku6EsfNlmzhzx0NzMp04wHnzaELi5Uqh0GCJzisJIcQw1rCxFAMDQP3rdBH6TkWO45hpEU7uH5LAcHpJzslfvqV7tSnl1ZZu5NosyW4GmQGy7RTDRLSZubMdhBBCCCGEEMLBLyv49tv78U57L9fyawqzcMcps+mibEIIIYSQaWBpngePr5uPHM4v+Xq9fnzh1V1443hqFd0QQgghhBBCiJluvPFGXHLJJVDGLiJljIExhr179+L000/H/v37TW9DW1sbzj33XLz++usTAsQYYzjllFNw9913m94GQggxQr9v+hfrpoJ4vsu1CgxL8zKhKApGAzJGZQV9vgA6RnxoG6ZQqpBHdjZi1VNvYtVTb+KG13ajddCLz8wtT3azCEkqi8hw46LKZDdjip/tacZV/96Gpw4fR0P/MI4NjqJt2IuuUR8VV0fQ0D+Et9t6cJgzdOFQ2HKSIEwINiSEEELiMRpQUONxItdORcvpyiIIkISZMTgIjYGswswqZf3iggo8cvo8bPrgatR4nMluDplB5GQ3IIxlhvRzhBCSCOFjR+pep5dQ0G0gjvlY6wzYKYb8Afz+QGuym0GmuWV5HtjF1AnCJelhZs12EEIIIYQQQogGsqLge+8dwoYWvuCFJXkZ+MHq2gkp9YQQQgghJL3VZrnw8zMXoMRp41p+OCDjK2/sxd8bTpjcMkIIIYQQQghJDYwx/PnPf8Zpp502Ht4V+vn+/fuxbNky3HnnnRgZGTH8uRVFwaOPPooFCxZg06ZNU35XV1eH559/Hna73fDnJoQQM/R5/cluwrTHcLIAQo9ytx3rSnPgV5SUKoJMZW+f6MWH/rUFd753KNlNISSpRMaQijlYHouES6sKMBygXo3Hvt4h3PD6Hvxgy2Gu5b+xaR/ebuvBjs5+HOodgkTXFKWcIoeVgjQIIWlJhgLGGFYWZCa7KUQni8BgMfEmwbMyHKatW6sn9x3D2c++jY+v35bspiTMeWW5uKauFKcUZIIxhqX5nmQ3icwgSgqdfNK5JiGEGMcvK7jypS24/J+b4ZVTp68n8RMZw58PtuIrb+zVvQ6LSPOOhBjhQzVFyW4CSUPUAxNCCCGEEEJIBIqi4IFtDXihsZ1r+fosF350aj3sEiVqE0IIIYRMN2VuO35+5gLM5rxoP6AA33vvEH6xuymlLoQihBBCCCGEELPY7XasX78eV1555ZTwrqGhIdxxxx2or6/Hww8/jBMn4g867uvrw69+9SssXrwYN9xwAzo7O6EowWJFRVGgKArOPPNMbNy4Ebm5uXE/HyGEJMq1daVwSnRZp5kYi+9O9KHAldFpXnRoNbF4nJCZSmQMgRT8zqDP56ebkehg4TyYNA6M4IbX9+C6V3bio+u3TfvjRzq6urYEX1pYmexmEEKIZqN+GX1eP5bkUhhQuvrVnmb0mhjgvSKFgqK2d/Rj0B+YUQE+k7M0lualzvtBpj9ZYXBQeAchhEw7EmM4OjCClqHRZDeFGEwUGPb1DOJQ37DudVjphgGExO3KmiKcU0bXGBHtqAcmhBBCCCGEkAh+ursJfzl0nGvZqgwHHlo7F26LZHKrCCGEEEJIsuQ5rHhs3Xwsys3gfszP9zTj7s2H4ac7WxFCCCGEEEJmAJvNhj/96U94/PHHkZFx8twpFKbV2NiIm266CaWlpTj//PNxzz334KWXXsLx4+pz8d3d3XjllVfw0EMP4YMf/CAKCwvxmc98Bjt37hwP7Ao9j81mw1133YX169cjOzvbzJdMCCGGu6gyHy66UZCpGILhOXqFglq8gek557ckLwNvfHA1/nPZymQ3hZBpRxQYjOw53BYRi3LcBq6RaNE8SAWS08Wy/EwszKXPEiEk/cgAzvvHO7h7y+FkN4Xo9O/mTgz6A6atX4wntdpgm070JrsJCfdaaxcufeE9XPbPzfiff21Fx7A32U1KeYUOa7KbMG34FRmFTtqehBAy3diTEMrIG15P4iOCxXXTGQZAirGC8yiIiBAun5pbluwmkDRFVeWEEEIIIYQQMsnv9rfgib3HuJYtdtrw8OlzkWWzmNwqQgghhBCSbB6rhB+vnYtbN+3Hm209XI95tuEE2ke8+N6qWjip6JIQQgghhBAyzZx99tkRf15UVIS+vj6wsWCU0N+KoiAQCODll1/Gyy+/PL58RkYGMjMz4fF44PF4IAgC+vr6xv/09PRMWL+inIw8CF83YwxFRUVYv3491q9fb+RLHX+u8HYTQogZWByhUkTd1XWl2NbRr/vx48FdsmxUk1KKVRAgMhZXuBkhJDKJMQQU46K7BnwBbO8aMGx9hMxUHSNejE7T4zohhJCZjc7rkssrK2gLC+va0aV/LmKmaKNwM8Nsbu+DQH0AIYRMO9YkBHcVOqwUYJ8AogAI0H/sVjvuL8rNwL+bO3Wvn5CZINdmQZaV4peIPrTnEEIIIYQQQkiYvx1pw8M7jnItm2u34OHT56LAYTO5VYQQQgghJFU4JBH3nVqH/3v3EF5q6uB6zBvHe/D5Dbtw/2n1yLXT3QwJIYQQQggh08crr7wSM2BmcsBWeMhWuFBAV2i5SMuEC3/O8OUURUFjYyMaGxs1vAo+oWAwQggxm9k3L2cAjIuNST8r8jOxozOe4K5gYcxoYHoGfHQMe7HpeA8sIh3ziPms40F4M6NXEhmDgbldhBCD3PD6nmQ3gRBCSBwyrRJ8sowhf+LP0S6qyMOHa4rxyf/uSPhz8zAzuKvEacNFlfn4xZ5m056Dh4jgHEc6nKFbaG6ZJFDwPFuBxBjcFhE9Xn+ym0QIIcQAtgQGd4mM4SOzi3CgZ5CCuxJAYAzxDBfVvtK5vLoQfzzQipYhei8Jiebc8ly6JojolvhoTUIIIYQQQghJUf9u6sAPNh/mWtZjEfHw2nkodztMbhUhhBBCCEk1kiDgjlNm46Nzirkfs7dnENf9dyca+4dNbBkhhBBCCCGEJIeiKFP+RFsGOBniNfmP3uXU2hLvH0IISSQWxx21eZxWlGXq+lPZRRX5YwXdAd3rkMaChqZrcNfh/mHcuHEPvvDqbhQ76QZWxFwCY1iYm5HsZiSMJDAEaGxJCCGEpKRFue5kN4HoVJflgtsiJeW57aIYV3G92UQTk8Fz7RZcUlVg2vp5BZAeoV0AYElg0AYhIW6LiKvmlCS7GYQQQgziSOB44ukLl+LGRVUQTB7w5tstpq4/XYiMxRW8K6mM/S2CgG8sq8bcLJfu5yBkOqt02/GZueXJbgZJY8mZmSKEEEIIIYSQFLOxtRvfeecg192lnZKAB9fORU2m0/R2EUIIIYSQ1CQwhhsXVaHAYcVD249yjSNbhkbx6Vd24oera7EsP9P0NhJCCCGEEEJIokS662S0wKtIPw89PtrdK7WEZ9EdMAkh6c7EuloAwOvHe8x9ghT2QmM7Xmhsj2sdfV4/NrX1oHlg+gf0L8p1o5Xuvk5MFFAUfKKuFO+19yW7KQkhMiDVcrsETAw6sAkMy/MzsTTfA5soYPOJXrzS2p2s5hFCCCEJsyI/E9s7B5LdDKIDAzAcRzhzPEQBGPQl57l5xFP4r7pugcFGQVSaWMye8CEkAr+iQE61E1FCCCG6mTn+urKmCB+uKYJfUaAoQNHYjT3MDu66vLoIP9vdZOpzJNKqgky8daJX8+NEFt9tfRgYWgZHIAkMIhh8igyAwRuQ0T3qw7HBUQz4/Lh0VgE+67Thyxv3xvFs00+hw4q2YW+ym0GS6Een1iPDStFLRD/aewghhBBCCCEz3pb2Pty6aR/XnU2tAsO9a+oxP2fm3PWVEEIIIYREd9WcEhQ4bPjOOwfgk9XHk31eP254bQ9uXVaNi1Pg7qOEEEIIIYQQYgQtwVpmPN6sdYVQGBghJJHiuzSfmG1n1wBufH1PspthOpvAcMPCSmzr6MdxKlYgJgnIClYWZiHPbkHHiC/ZzTGdyBjXdSmJ9NSFSzESCEZ3OUQRRU7rhLHvnm4KMCGEEDIzpNYRmmgx5A9gKFnBXUxI8eAuM9fNYKfgLk2MCFJjoP5qMrvAMMJxvdZM5ZeVpPWRxBxLcjPwgVkFODHsxWO7pk/QDZke5ma5sKdnMNnNmNasomDaHGOR04aKDMeUnxudPWodC4C1iwJsogBvYHodp/SEdgHBsWI8IWmD/gAuf3GL7sfPdBTaRbJslmQ3gaQ5Cu4ihBBCCCGEzGh7ugdw8xt7McrxpZ3IgO+tqsWKgswEtIwQQgghhKSLc8pykWOz4Ktv7kU/x0WZfkXBne8dwtGBYXx+foXpd6QihBBCCCGEELNRsBUhhBjH6CIIQvQ4szQX+Q4bHjl9Hu549yB2dw+A6mCJkeqyXPjonGIoioJ8u3VmBHcJLOWK7Iudtphj+e2dfQlsTXRL8jKwtaM/2c0ghBAyjaVYtibRIKAoCCTp/avLdGEwhQNxzLwWZcAXwNscoQTX1JXgN/taTGtHOrlva0Pc65id6cSB3qH4GzNNrCnMwndPmY0rXtrCdb2WmZbkZeDC8jz8YMuRpLZjspGAjA0tXTGXsQgM9Vku7Oii4OZ0UOq246LKAhzuG0rb4C4KIZy+cuwUemK0v5y3BBaRwRtQ4JVl5NmteGTHUVPGv3KUkyIjx5QWBrx2+WoAwJaOPrxxvBu/prEiAEAUgLnZbpS6bDg2OJrs5hAy41AtB4kXBXcRQgghhBBCZqzDfUO48fU9XHeSYQBuXzEbZ5TkmN8wQgghhBCSdpbme/CzMxfgptf3cN955zf7WtA0MII7VsyGXRJNbiEhhBBCCCGEmEOhykZCCDEUXRhMUsFFlfkAgPIMB3551kIAwEgggL8cPI4dnf14tbU7mc0j00CZy44LK4L72UwJLJQYi1oAlyxqAbwBOUENUXFBWR62dfRzFfZ+oq4EDklM2wJmQgghySFTfETasgpC0p671G3D/p7BpD2/GtHE+YV9PYP42pv7VJeTZQUeiwifrGA4VQaXSTIqx//68+3WhAZ3LcvzYFVhFh7b1Ziw5+RV5LTiY7UlyLRZkGGRkh7cdXFlAU4pyASgHty1NC8DWxIYTNw4MBLz91aBYXGeh4K74rCuJBsbWoyZK5MYg0MSYBEEZNsssIkMkiBAZMF+vSrDAQAQkL6TKTTqmr4yrRTcZbRClxV2ceK1xT6T7rARLQzMyLlbW9h10nu6BijgNYzIGC6qzEepy4bPbtiV7OYQMuOI6Tu0IimCgrsIIYQQQgghM1LL4Ai+9Npu9Hr9XMt/dcms8YtGCSGEEEIIiaTa48Qvz1qImzbuwUHOC+X+e6wLx4d24b419chzWE1uISGEEEIIIYQY6zvf+U6ym0AIIdNOvEUQc7Nd2NOduoXDZKIleRnY3zOIIX/qFDALAH6w+TCqMhx4cO3c8Z/bRRFbO/qw8XhP0tpGpg8prLNLnb3fXKKQesFdqlKkWEUSGBgDeDbfqsIsFDpspgd3nVOai0tnFeDtth78/kCrqc9FkscqMHhNKoidLiQG+JOwiTKtEvd1f4RPnt2CjhFfspuRPGn8Uf9UXSl+te9YspuRNJYkpsBKAsMlswpwRkkOLv3n5qS1IxopBYLBi112/PvSlfjjgRY8uP1o3Os7pzQXPlmGT1bwbnuvacEVqarHm9h+OsMqYtZYSFAqKXJa8fgZC1DssgGYeH6ZLAFFwTDHjcQBoNRlS2hwlxrG2IwJ1DaLUaFdAFDktOGpC5eqLkfvGUlFHitFVhjtvfY++GUFowEZZ5Rkwy6KwSB+E+YYo81bGnmzmfBg2elwExuPRUSfQeGhoe0xw4a3hKSM6dAnkeSiURAhhBBCCCFkxukY9uKG13ajnfNCky8sqMAVNUUmt4oQQgghhEwH+Q4rfrpuPr7x5n68097L9Zg93YP45H934Een1qM2y2VyCwkhhBBCCCHEOBTcRQghxhPiTElJhcJcwi/DIuHbK2bjtk37p2QF5NktuGlRFYqcNlz3ys6EtUkG0Do0CrdFnPI7kfYvYpDwwup0y7LSSwDDGykUfMd1vEiR90YS+I+OVlGAXRJMbQ8AvNrahbdO9CDAuQOvK8k2tJibmM8uCrCJArwUDhVTMkK7AFBolwn+ftFybO/sx6bjPVAA/PPoCZyYQUFevP15KjqlMHNGB3cl850TGYNdFGF3Tj13SgVCCqS6jAaCMb3MoETYW5dV48Ln3oUkMPhnYKpBoo9/G1q6EzaGdUkCzirNxXNH21WXLXHZx0O7gNSYq5AVBSMBvljqPHtq3diRITW2YbpakOPGzq4Bw9bHG0RH7xlJRZkU3GW4mzfuHf/3s+9bhiKnCIEBAROGQVGDuwxM9mcAWgZHEFAU9PvovD5caK5WTpUJWUJmGAruIvEy/1spQgghhBBCCEkhPaM+XP/abjQPjnItf01tCa6tKzW5VYQQQgghZDpxWyQ8sLYeF1fmcz/mxLAXn31lJ15t6TKxZYQQQgghhBBCCCEk1cV7XTAVbaUXmyjg7NJcPHjaXCzL88Alici2WfA/s4vxm3MW4bzyPCzMzYgYomU2qzj1EmO6cJ0YJTw0KlpRWCKJCdi1GQN+u7/F/Cfi5LKolxGkyideYPxhD1ZBQI7Ngjc/uBr2CP2YUXyyggFfAMN+vuL8ry6pNq0txHgeq4T/O2WOqftQqlqSl5HsJpAksIwF4CzN8+DzCyrwhQUV8FgtyW4W4TTTzwGTOZYUUyAYKxbefcNjEfHQaXNx35o6w8d/oSAjozaVX1HgHwtISv5ZROL1TePgynyHDaUuO9eykz/3n59fge+smI0rqgvNaBqXgKxg0BdQXU4AkJFix1jGGM336CQw4MMG3xxeLWT7YO8g3j3Rix2d/YY+LyFG8FBwl6lOBqIaZ1FuBpbmZWB5vmdCKGY4I4e8PV4/Ln9xCz700lY8fbjNuBUni4HHz9CxeAZm0xKSEhLxHRGZ3mgURAghhBBCCJkx+r1+fOn1PTjSP8y1/OWzCvGFBRUmt4oQQgghhExHFkHAt5bXoCLDgUd3NnI9Zjgg46tv7sNn55Xjk/WldFEUIYQQQgghhBBCyAwU75yQlOKFw2QiqxAMBFldlIXVRVlRl0tGbIhNmPqstH8RozzbcALPNZyAKDD4UqAaqchpwzHOG8DpZY3wmUomu8gRCJgiH3nGWLAOjmNXsYlCcHmkRihciFNKrfefTPXROcXoGPai3O3Ax+tK4JREPLSjIdnNSqjPzSvHB6sLce1/dqB1yNw+kaSWK6oLYZsUVGdN0YrFu1fX4tZN+w1f7+8PtBq+zkSZ6dcVJGsouTDHDTkFxrGxvNTUwbVcls0yfj4qGTw+HwkEg4yYQfupT+YLTZ2u+jmCodJVQJG5w/Am76LrSnMABMP0nkpSCMh92xq4lpMYphxzk02AsaEsM4lDFOG2GFui/9Da+pi/f2RHI95s6zH0OUl0L128Alm2k2F7owEZD25vmB6BQyZIZnDXyoJMvH2iN2nPnwjjwV28k2QqvrmsGpfOUg+9NOt8o2vUZ8p6E8rA04HQKXggheYzycwiMjaj9z+jzlnJzEXBXYQQQgghhJAZYcgfwJc37sG+nkGu5S8oz8NXl86iE29CCCGEEKIbYwzX1pWi3G3HHe8cHP/iXM3Pdjdhf88gbl8xGy4LR+EMIYQQQgghhBBCCJk24v12UqLvN9OKTRQw5A9ge2c/bIIAmyjAKjIIjOG2TfvhlEQ4JAF9SSjOjRTWINL+RQwUABBIkbCDRAReSEIwTCo1XjHf5zlVPvEi429LeEBaiuxeAAAbT1AaSao/jIX2XDe3DE4p+H7lO6ymh/qlksd3N+Hd9l7kOywU3DXDWCKES0b6WSqg8ehUImMod9nRNDiS7KYkRbJCYHd0DeBfzZ2oy3Yn5fl5bO/s51oufCws6AiC+NKCCizM88AmCrCP/Qn92zoWUGRUj+JPpQFeEggstca4Rmob8nLvJ0qUQIEUzZycwK8A9209kuxmTMAYHV/1uGFhJSTGYDU49SzXbo35ewpZS6zJfa5NFLCuOIeCu6JIZnBXrt2CHJtleoRBRRG6/tiwcRVnQA8dImJgxg3MQgGmqXQjAjKzXD6rAH+docc3o8dzZGai4C5CCCGEEELItDcSCOArb+zFjq4BruXXFmXj9hU19CUUIYQQQggxxNmluSh22nDLG3vROcJ3YcArLV1ofGUH7l1TjzK33eQWEkIIIYQQQgghhJBUEe+1wRJdXJxWbKKA1sFR3Pj6nmQ3ZQprhLAG+g49dVkFBu90reBOgER0nSJjEBgQSJG3iec1O6TUCJsSGEOew4oWjgCl8NBBJUVi0hiCx2eRMQSo+C7l9Xr94//+2JwSbO3Yl8TWJN677X3JbgJJgkjnEJHGgqmAxqNTiQJDscs2Y4O7uka9SXvu3+1vwcbWbuQ7YoesRGIRWNJCxyYL7wL8Mt8N6cLVZruxKDcj5jJG3ES52GnDbZv2x72edJZts3Bfd6RFKgSChcbMPKK1NRGBzPHS/gkznwCGT9SVQlGAn+5uSnZz0sZH5xRDYAxbOowbP4uMqfaXNBZKrEjzCjYpNcfJqcBjSV5khawAXh3jmHQSCu4yqhv44ZYjcFkkXFCeF3M56ndiMW7bhLaz3jFZkcOK2iwXvLKM7hEf3FYJ76X4HM+ZJTn4cE0Rbtu0H70+v/oDiKmmex8ay5I8T7KbQKYBGiESQgghhBBCpjWfLOO2Tfu5J5yW5XvwvdVzIKXohSeEEEIIISQ9zc1244mzFmJOppP7MYf7hvHJ/2zHW2095jWMEEIIIYQQQgghhKSUeItZKbgrvfyzsR0fXb8t2c2IyCpGCO6ir9FTFoV2xScRBWiSwOAQUyMIC+Aran9fRX4CWqJOBIOdswOyjS334+0NKROSFtrSP103H7evqEFdphN1Gr4vIonV6z0ZhrEs3wOJClTJDGCJcA5R5XEkoSXq6DM5lcCA2TP4uNI6lLzgLgA40j+MxoFhzY+zpdA1yuHjQj2nFTzBpEZMVbQOjWJPz2D8K0pjZvWB7hQI7GWMcQdvyVECelPnU5VehLGwqGjblUQW6vuM7M8jjckmS4eAuukk0iHOQROkEdlEYXxOJhkCigJvYHqHzoRCdZiBYVGtHOG/1OskxsngLn3H41OLsnHvqfV4aO08/ObcxbiiusjI5pmiyGnDioJM2CkQMSWkSrB0MnyoJvU/LyT1UU9GCCGEEEIImbb8soLb3z6Ajcd7uJafl+3CfWvqYU+hCyUJIYQQQsj0Uei04WdnLsDaomzux/T5Arjp9T34w/4WKHQXdkIIIYQQQgghhJBpL96LOukGReml12vsXcTXleQYtq5IhVapFDpEiJGEBJSgiYzBkUJFSKMcxYzL8lPjTvMC4w9Xs4wdB/t8xvav8Qg1fWFuBnLtVuzrHcK+3qHkNopE1Rd2bHZbJHxt6awktoaQxLBGOIf4ypJZqMpIvfAukYKKpxAZi/geksQ5rjE8rNrjgNuSOudWLYMjuP7V3egZ9akvPObyWYXYcNlKvH75KqwsyFRdnvbQ+H1kdhHMiiPp8wVMWjM/Bv5AomiZAhRopE9os9FladoExnZEi2jcfsdzQwa6aUNiDfgCGAkE4Jfl8TAdI2uNMiwirNPkPXVKIlf4nFn8ssJ1Y4OVBZnc4fCpJjSXZ+ThjufYmYgbHqQtA4+d8QZ3Tb4Ri971JFKoy6AxXGrY3N6X7CYkxcWV+YZ+t0pmLinZDSCEEEIIIYQQM8iKgu+9dwj/OdbFtfxsjxMPrp0LVwp9GU4IIYQQQqYfpyTinlPr8MiOo/jDgVaux8gAHtpxFPt6B3HrsmoKmiWEEEIIIYQQQgiZxlicF6hLJl/g7pIEfG9VLSRBwNfe3Ichv7HFnWsKs3Dz4ipYBAGNA8P40ut7DF2/UeZmu7CnezDZzZjALgo4ozgbG1r4viNXE6nQ6pYls1CVYcc9WxsMeQ4SnwyLiP4UKLCeDhJRGyQJDHZJBMAfiGAmnpecKkVTAmPcbQkVvKZqgElqtsp4IgMCqV8fGNGmtl6c+/e3MegPAIqhNZiEpKxoARB6C31dkhj8DJngLwdb4RAFDHMEUM4UAlhaFGWT4Djg7LJcXL+gEte/tivZzRk35JfxTnsvhv0yBI5juMSA11q7sLm9FxZBwOqiLNywsDLmY+Kd65jp1hRm4UsLK/FiY0eym2IagQWv5f/grELs7h7A3p7ocy7R+rxUOX9JN6FhAB1LtPGPba9qjxOfn1+Ox3Y1xb1OntCjaZLxlDY+8u+t4/++pq4EX1xQCbuBoezvq8jHrq4B7OoeMGydyeKUhKQGy40E+M4/ZEWBTWQYScMp1VBwl5FzSzyhXHR4TYzx47HOx08OAQykwXE9NHbj7TpckohZHgd2dqV/n5mK2oa1BVKnq5+tm48dXQNwiALWFmej0GlLdpPINEHBXYQQQgghhJBpR1EU3Lf1CF5obOdavtJtx49Pn4tMq8XklhFCCCGEEBL8svvGRVWo9jjxwy2H4eO40xcAvNjYgcO9Q7h7dR3K3HaTW0kIIYQQQgghhBBCkuG8slwsyHFzh75PZnZxjEMSsaYoGwDwqfpSPLKz0dD1e6wSKjIcAMAVCpZrs6BzNHYITo5NQteo35D2hVxYnp9ywV1WgcEiGle2Ey30xiHN3EuP7aKAkRQKiXBNs+Cuj80pxoUVefBYLRAZw+b2Xtz+zsGEPHciCrxFxmBL0TCpaHiK9xJBYHzBlFaBjYdCmB1keW1tCYpddjQODHMcs0+2ZaaECWRaLehSOT6nslToW0XG0qLIkkwP0cZ9egM8Vhdm4dKqAty40fgQ3ldbuw1fZ7oThfQoyjaSQxJwZkkO/t3UAX8avPQylx33n1aPLKuETFvwOmXOy0QSyq/IYGBQi630K0DHiA8dY4G0szwO1XVT0Ex8qj0ONA2MoNdr3NzGWSU5qPI48MTeY4atMx6MMSzN92BpvgeP72qMGdwVrcsTaT/TRRg7X0nBbimlhY69ImPjYTrxkjjmDFLlPH0mCm17h4Hzr8OBgGmBt4myIMcNhygi12FJanAXA8Ovz16IJ/Y2Y0NL9HOGYX8Avd703Obesb7GyEDUo/3DONo/DJExSAKDyIJ/bKIAlyV4g2Hqd2Ix7ugpjn1+9J6HT/5uKB3OEUNdBs986Tmlufj03DL8+WArBXelIackGn4jKL0W53mwOM+T7GaQaWjmfntOCCGEEEIImZYURcGD24/iqcNtXMsXO214+PR5yLVbTW4ZIYQQQgghE11SVYCqDAe+sWkfOkb4ihf29w7h2v9sx+3LZ2NdaY7JLSSEEEIIIYQQQgghiXbl7GIAgEUQ8OQ+7cWTFpOLY8KLNM4tyzM8uCv8+nyegpCLKvPxYmM72mPMrzkkETAwuOuJsxYg32HFk/uOpVQoidsiGfr+26IUofkNLvj4RF0pfq1jX0+GVYWZUQu/8uwW7nleo5gdTJRovz/Qitdau3H/afUocjuQZUvczdcSUVcYKnpLGZNec9vQKO545yB8sgyfrMCvKBhKgfAiIFi8JXK8Sdaw7Wv28fDc8jzUZrmwq6tfU9jmTCl2XJnvQZfXD5ExvNnWk+zmpCWbKKRMQRuZ/qL1mQGdwz5JYBTSk0DBoL9ktyKxyl129I0dZ7Sen0gMpod9WRjgU4LDrbNLc3HjokoUOm0TlknFQnq/rATPyTU2zcIRNMMmDz6JJr8/0Irf6wx4j+Z/5hSjaWDE0HXGI3wvUttb5Cg76UwJyTVaaLulYLeU0sKzuowI/rWJDGcUB2+WMOgLYFdXPwQWHFOxsSAdBmBfjFC7eCzPy8B7Hf2mrHu6CJ3P2yQDg7v8MgZ8xt5wItFaB0fx3VNmw2OzoDGJxxUFCuZmu1HosMVcbleK3YxDi1BIoJHnWs82nMCzDSem/HxdSTbuWVMPQP24PJMZGfwe6mP0nNvNyXRiTWHWhJ+lwznib/a14EDPkOqYNMMi4vurawGYf/MiYo7LZhXovmEVIemCgrsIIYQQQggh04aiKPjxjqP400G+k/l8uwU/OX3elC/ECSGEEEIISZSFuRn49dmL8PVN+7CL8y5AA74AvrZpH66uLcHn5lfQF5GEEEIIIYQQQggh05Duu2pzFMzGIzxwpNhlw8qCTLx9otew9QthZSC8015qBQh2g4NyqjOdsIsi7llTh5s37kFfigTbiAKDxcAi1VAAzo+2HsFIWDViQ/+wYc8BYMK6U5nbIiLLaoFLEjE4KUjFKjBcObsIj+5sSmibeIKM0k3jwAh+tLUBD66dm9CAo0QUeIsMsIop9J5N6jsDioLNHX3JaYsKkfEFwJwVdsMT0eTjoXVs/RJXUMVJ0/BjG9Gpxdm4oCIfAHDu3982tJBxphim0C6SQNHOIRSt6T1jgsFdM6TDSwECY7rPH9PV/t4h7O8d0lUUaXZoFwD87MyFyLCKcEpi1JsKGx2IbASfrEDPCOpg7yCueHHzWMAMg8hC47dg0My8HDcW5LgNb+909LN18yEwBklgONAzhO9tPmTac4mMwS9r3w+vrSvFx+YU4/IXt0w5N45HeAiv2rlgtGbTsUef0Ga7cnYRzi/PgwwFihKcm9zR1Y/7tjYktX2p4JzSXHxzeU2wfxPYeB8XYkTwkkuS8LWl1QCA5sER3PD6npjL/+qsBajMcODxnY34f5w3vI9lTpaLgrtUjAd3GTjfcKRvKOE3AjBa56gP16vsr4kQOjZM58D0x3c34bLqwoQEooZvRzq+RmfkiF4cO6/z6vi+ZF62GwtzMyb8LKBjnJcMPIH/4adO0/kzPp2tLcrGM4fbMJzk7wPPphumExNRcBchhBBCCCFkWlAUBT/Z2cidwJ1tk/DI6fNR6rab3DJCCCGEEEJiy3dY8dgZ83HPlsN47mg79+N+u78Fu7oGcNeqOVEv9iSEEEIIIYQQQggh6WlJngcBRdF8B2KLyYkgk0Pk71o1B196bQ/29hhzp/rwa+55CkIYgmEzsdgMDu6Sxtq1MDcDz160HI/sOIqnDCiQi5fIGCwGvtZQKM1fDh03bJ2RFDisuHFhJfb0DOJfTR2mPlc8BnwBPNtwYvz/OTYLbKKA+mwXPjO3HI0Dxgaa8ZCmaZHKm209aB4YSWjAkbkRT0GiwAzvj+IxuedM5ZuECAzY0al+85OvLJ41/m+LyS8n9F7yZLFpPbZNB+HBgmrHaRLZdNpqpS4bjg2OJrsZJIZf7mnGc0dPwC6KsEsCarNcuKA8Dz6dhb4SY9MyYDRViYzN3L6WISU7zEyrpHptsp7AJLMFFGVsrKKtbT5ZQXOMft4piVOCBMhJ55flYk6WCyJjWJznGf+53j6Yl8D0jdMkgSHTZoFPNrbo3iGK4/9mKmPmAZ8fG451oT7bNeHm3XTo0efE0Cg+t2EnBMZw9+paZFot47+jAN4guyTAZRGn/Py5hhPY3NGHfzbGP58VHsLJE8iZabXAbZHwT4Pm0rJsFpxdmoM3jvekTch+ooXGt2p9lBaH+hI/nzhdhUJRk3EsSNSQdMAXgKIk5jVScFdiMAC3La+BrCiYl+3Gnw+24sHtRzWvJ9IxajqFO4e/llSewybRlbjs+O4pc/Dddw9OCP/NtVvgC8gJu0HS+ysLEvI8ZGai4C5CCCGEEEJI2lMUBY/tasJv97dwLZ9hEfHjtfNQ5XGY3DJCCCGEEEL42EQB31peg/osFx7Y3oAA53emmzv6cPXL23HXyjlYlp9pbiMJIYQQQgghhBBCSMKsLc7G2uJsZFgk/HR3E/fjLIK5oTCT72adabXg12cvxBvHe3CgdwgiA362uwlenQWm4dfcK5zlLmoFCEYH5YQXqjglEWeU5GgO7qrLcmGfQWFnISIzNrjNxpNGY4BcuwUXVuTjpaaOlA7umuyxM+ZPuOageXAk4W1wSCLOLMlBQFEgKwqODY6goT/x7TDDzq5+FIUVYJttR5d6KFS8JMbGA/FSweSe0+zjRzwEzkCS8P5ZNPn1WMf6SBF8IZMhM6W2LPy9CKRQMEmK5rtMe1UZTgruSnFNgyNoChvLrG/uxKM7G3WvTxLYlPMGYh6BAc8kMUi4ym1Hw0D6jEEFAGbHkfCEG3isEnq9fuOfG/pfn09WdAUzqD2iZ9SHXZ39+ho1A7zZ1oMtHX0QGMPu7gF8b1UtAPPHjQJjugLkArKClxrbdc/7RG/PyX+rTUd0jPjwtU378H8r5+CCCcFddOzRY1RWsKUj+BmdnNc0U85f1ETbDts7+/G8hpt0xhI65z3QO4i/coToh9pkVC5LmcuOT9aX4YebD+HpIyfUHzADpe6sCQFOzj0kI0BYYoAvQZMNksA4ZqKim5/tRl2WC08fiX3+EB6OlMrHgnyHFRdV5OPJfceS3RRdFAAXVeSPb+/N7X261uO2TI2LmU7hzuHDk+l6M5PpLqAoWFeag2fzl+HFxnYM+APIt1txXnkevvLGXrx9otfU5xcA/O/8cqwtzjb1ecjMRsFdhBBCCCGEkLSmKAp+uruJe6LNKQl4cO1c1Ga5TG4ZIYQQQggh2jDG8OHZxZjlceK2t/ZzX6TZOeLD9a/txufnV+BjtSV0IRohhBBCCCGEEELINMITxMQA3LasGn4FqHDb8WsTixQiFb4wxnBacTZOG7vg+Rd7mqE3FmN9UyfebuuFrCjw8RSBMqiG4NvFqXcbj8fk+Tc9s3FmzOAJjBkavJOogKHmsSL/VAp24SFP2seTEU6RZbXgh2vqxv//xwMteHD70YS3wwyvt3bjs/PKcV5ZLkTG8K+mDtMDFswmCszwIMF4KJOKt1K56ElgDIUOK9qGvTGX298ziAW5GQCABTluU9t02T83I6BoL4KbKd/hhPeJfpVNJDAgUYeA1YVZ+NrSWbj8xS2JeUICANh4vDvZTSAJJgkMGRYRK/I9EFgwxEtkDN1eH3YlICxzphEZS+o46YsLKvHVTfuS2AJtXBYR/b6Aqc/BE25Q6bajyYTAs8oMO47oDPMdDcj6ghlUHnOgbwgH+oZ0tWkm6PcFxvfJ0lHf+M/NPscUGENlhh0XVuRhw7EuDE9ObIoioCg4oTIu19ueEMb52q2TdlgKjYzf5FPWAa+5/WW6iLZvGXmOH5rffPdEH57jCAMLfWZ4b3ygJjQHbXYIdjqTUjm9aIa7uCIfX1k6C0ByjgVWUYDPn5gRucAY93EykrPLcvHx2hK0DI1gU1v0oJzw7ZjKc1lPnr0QuXZr2gZ3AYBXliEJwe+w9HYzbsvU78CmU3BX+GtJRjgf4Tcv24UFORmQBBY2HwRkjO2jGVYJH55dPOExZvfbl1TmY0meB1k2C/57rBM+WYFPluGTFdRluTA329zvEcjMQcFdhBBCCCGEkLT2iz3NeGIv3ySbTWD40an1WJCTYXKrCCGEEEII0W9FQSZ+ffZCfGPTfuzrGeR6TEABHtnZiM0dfbh9xWxk2ywmt5IQQgghhBCS7s4+++xkNyGhGGN4+eWXk90MQgjRjCeIySIwXDqrMAGt4buAOp7r5ocDMoY1FoCqFSCYHZSjp3DFjOvQRca4gt54WRMUMPTzPc24bl552hWS7O4agF9WIDCMFx8kWkP/EP7Z2A6BMZxRnK0aYpdOhvwBVGQ4cNeqWgDAy8c6IadZuNtkImMJ+1zxyLVbJ/zfyP7DaAIDipw21eCuA70ng7vMCMII59WwP4Zv2ZkSJhB6nYqiqPbvDlHEoD8xgQCSwOCxUglNKrMJAkbldI9qJBJjqMpw4OHT50FWFMgKICsKXmvtxrfePpDs5k07yS6kT7cQC7soJCC4S32bFDlthj8vA/D+ygI8srNR0+OKHDZcUVOIUpdN11hF7REMeqO9Z57wswWzP9sMwJqibKwpysYVnZvRPDjK9bgAx/hOj/DXy3vWNHnOLL16I/NdUpmPY4Oj2NzRx/2YyX3A0f7Ehu6dXpSN11Iw9DVa32g3NLgr+LniPa6GFjNqqiT0eUrlUO9kE8LOc0lqcVpEOKRQ8BH/PnxtXSnksePaeyd6sa9XX58nCQKQwCjdeIbftrEHq+V1Tgzu0v98Zps8v5mOfAEZGNt/9YayRQ7uiqtZKUUO63dn6nGq2GlDx4h3/IZHLilx86nRnFaUhU/Wl8EvK/ArCgKyglK3DeVuh6b1mN3H/ONoO/4RJRT103PLKLiLGIa+dSCEEEIIIYSkrV/uaR67W7M6q8Bw76n1WJafaXKrCCGEEEIIiV+Jy46fn7kA9287gr8dOcH9uDeO9+Dj67fhu6fMwYoCGvsSQgghhBBConvllVfiuiNvOlEUZca8VkLI9JNqQSo8xWOJLBwvctgmXLQfiZFFdJHoebVmbCGzgruW5mVgS0e/YeuNJt2Cu+5879D4vy0Cw71r6hLehubBUdzxzkEAwLPvW5Z22zCWhv7hCf+fDi9NYsz0/kiLAsfEG4CkcuiGyBiuqSvFLW/sjbmcTTxZpNY0aG5wl14z5bQkFGbIU7aqJDDKQ2QMLkmEyNi06jOnk28ur8Z33jmYtgEvszOdODYwgmG1KuhpThIEbO3sx+c27Ep2U2aEZIdCJnMMYRUE+DV+3sw4x56b5cS3V8yBjGBQXbZNvVzTZTG2pLPUacWXF8/S9X4cHx7Fz3c34Ym9xzCkUvztkAR8dm45fIoCX0CGT1awvbMfwHDUx1BwFz8hgSEZ4X2HlvcnVJhvfHtO/pt3Xim0v/9iTxP+duQERpMcXpBq5uVkoGPEp+kxk7d9ovv4O1fNwQXPvYvRFBtLRdsnbZJx5/ijARlff3Mf8jhDaISx2UWjzqf+09yJg32D2NFp/hxgurp/WwPu39aQ7GaQCLZ19uHBbQ0QGLCza4D7cU/uO4Y5mU6cVpSNIpdNc3DXh6oLYRUFrG/u1NrkuLA4vl3Y2tGHUVnBO+29MZcL7/8FisY0VXh4ud6jikuKFNw1fUbgAeXk9R5iCs9hm6l1aGLI7qA/gDKXjTt81wwLczOwcOwmGvFIZhi5j24eQAxEwV2EEEIIIYSQtPTE3mb8bHcT17JWgeHeNfVYVZhlbqMIIYQQQggxkE0UcOuyGizO9eAHWw5zX5TUMeLD9a/txrV1pfjMvLKxO3oRQgghhBBCSGTT/c7QFNhFCEl3PEXFiezJeYrCEzkbdU5ZLu7beiTmMjazg7t0HGriKa6JRhQYLAbOBYaKPVYWZCUmuEtO3zGJwBj+36HjSW4DVEPs0knL4ChG/AHYx/ZDeRqU+osCgzWF5uvDQ66A5Id+xCIwhuX5HtXlwosKxVR6OSy8XanUMPOEXidP357IrqvcbQdjDJlWCV2j2kIMSGJkWCXMyXRiv8aC6WSYHEQz2+PEvWvq8NlXds744C6LwEw7J/jh6jo8sP0Ijg95TXqG9JPsY541iYXTuXYLhjQWKismnIs5LRJqMp2aHmNUGM4NCypwRkkOSlw2SIKAt9t6dK3HKyvwyuqhRxJj+Ghtyfj/24e9+PW+YzEfwyi5i9ue7gF8fsMuSAJDvoMvvEcvvbtgQFFMOX8XdYSWhebMBn0BtA/TcWEyi8Bg1xgsNfl8xch5JjUPrZ0LR4TgkVQQ7TzOZvD2eaWlC2cUZ3MtG2qSbNDn8bnGdkPWQ0gy7OsZwr4efeeQB3qHUOy06RqbfXFhJZySiNdau3U9NwB8dcksLM/3QGAMV/5rK9dj4hlFrj/WhfXHulSX03NcTobpcPMuX+BkP673tbgjhAJPp+8KgOD5ik1kkNL8/TZSst/hSOOjpoFhHB/yQmIMkhD8I4b+zRhsooBCp011PYkS/vkjJF4U3EUIIYQQQghJK4qi4Jd7m/Hz3c1cy1sEhh+uqcPqoixzG0YIIYQQQohJLqrMR22WE9/YtB9NA3x3iFcA/HrfMbzX3ov/WzkHJS67uY0khBBCCCGEpK10v5iVEEKmOwtH6BRPuJdReC6KT9SxZXFuBjKtEtRiEXjn1PTSdcd5EzaRwIAcm8Ww9c3LdgMAPlpbjNdau7C7e9CwdU92fGgU96gEsKUyAcZue31tYPCncfjZZAqAT/53By6qyMdHa0tgxEuTGIM/iQVLocKUVDF5SzDG8OGaIggs2FaLIMAiMPz10HF0e/1JaWOIwIIBAWrCj4d2MXUKvsO7fF3HjDQkhIK7ON63RHZdZ5bmAAA8MyS4yyYGjw3pVINmEQScVZqbFsFdHquEW5bMwpAvgCKnFasKsyAwY4NU05VZpwOFDitWFHjw03UL0D7sxUPbG7Cja8CcJ0uybKvEffwVkjy3l2234pvLqnH/toaEh9bpKUbvMaH/11NobETB+YJsNz5eVzrhZ2bvD5PPOZoGhk19vpmm3xfA5o4+AMCCHLepzxW+r/B8lH5y+jyIAkO+3YpnG9pMbQ9v2HkoGNmoILzpRhKY5mCpb761DwBDQFEgKwqOawxHjMeoP3gMScV384Wj7XjnRA8YC+6dwtjfZgyzeceS42HJaTTWJ7EVOKw4QSGESSGMhcpoFRqLfnROMV451oW3TvRqXkepy4ZZHm0BsGYd9rKsEn6wpg4BWZkQIJrs841YFKTmcYPH6sJMfLimGDn2k98rxBOs2u/1wyIwSIKAw72D+EfDCYNamhpGAzJsojBjborAw2OV8KWFlRBYMBxrU1sP/pLAG8xEOqd9/mg7ntgbPdi5xuPAH85bMuFnSQ3ukmd28D4xFgV3EUIIIYQQQtKGoih4dFcjfrOvhWt5iTH8YHUdTi3iu/MIIYQQQgghqWp2pgu/Pnsh7nrvEP7LccerkB1dA7j65e24bVkNzinLNbGFhBBCCCGEkHSlTLO7rU5GwWSEkHTHE8pVaLdO+P/aoiy8frzH8LacX56LT9aXqS6XiHrJHJsFd66cw1WcFip6NYueQ40Zm0hkDBlWCXMynTgQZ9jF+yryxgtG7KKIB0+biz8caMWfD7aaUozvSKEwoyyrBIEx9Hr9YADcFhE9KqEJAmMTipmS4f0vvJfU5zfD4b5hPLKzEY/sbDRkfRaBwZ/EilaRMVhTaF+P5CtLZk352R8O8F2jYyaRMTzGsR+EFzjbU2hbTwjumiGnJ6GiJ67gLlPK3ae6pq4EC3IyAACZ1plRRrMsLxOH+4bQZmLx94IcN3YaGJwkMaYriCcZ/LKCC8rzpvw81fv6RPj57mb8HHw3ZtXiR6fVw22R4LZIKHLakJXk4NTJBARvyvXc0fa417U4z4Ozy3Jx+9sH1J83yXNfbouIS2cVYk/3IJ4+YnyYTywyGBblZmB7Zz/3Y8w4n9FzfDciaGjQH5jyM9HkwcbkYztPMG2adOspx2pyEKTWXWVFQeb4vwMmJK+Gt0fkbFvoc2REEN50FAzv0LZtXmvtMacxHIYDU/u0VNHn86PPN3VuKN9u/FhE4vjoP3XBUmRYJSiKonpDA5JcFoHBx9lnfveU2cizWxFQFDx/tB2/3Z/8+RgtluRl4NalNfjzwRY8fSS9AoMEpi84JjQu+mB1EQZ9AV3BXfrG8uYc9+Zmu7E0zzPl55+eW4bjQ6OGnOcY7f5tDbhqdnGym6FLuduBtcUTax31ntt96fU9RjQppY0EAvBAosDWMBZBwJmlJ+sCWgbNvYnRZJHOPdVuLiNFOMdJ5lvKe4wmhMfM+MaBEEIIIYQQkvYURcED2xvw54N86d8SY7h7de2UiSxCCCGEEELSldsi4e5VtfjTwVY8vKORq9gBAAZ8Adz21n5cdqIANy2qgkNKnbvME0IIIYQQQpKPgq0IISS1WTgKNW2TKrqqM52mBHfNzXKjmuPu77evmI0vb9xr+PMvyc2AQxKxKDcDH64pQoZVgteEoms17cNeWAQ2HhSQKqU1u7oG8PH121QvjFdzRnH2lPCeTJsFn19QAYck4rFdxoQohXNZUuNy5nvW1GFdSc6Unz99+Dh+uOVI1MeJDMi3Jze4K9V9uKYIr7d2o3VoNNlNSRpRYLAhdcJceIJxrnl5O4b8yS8DZgBXtFN42CXP8TNRipy28X9rLcCrzXThUN8gV1BlKun3BYvueUIdEhXS9FZbL949sR0CY2jsT2whW7L4ZUVX8bEW64pzDA3ueqWlE/t64gsgTZRohYU8wbtEn8l9itn7t1YygG8tr8HZpbm4+Y34zockgXGPGngDbswSCsxJVBBjOAUK3l+ZHzW4K8sqYW62Gz5Zxub2PtPCTfQU2BvRV0RahdmfC/+k47ZdVL/+JPmjyfRk9vEkfF/R+uk1Y2waHr7F+51FaBuZHViXriSmHtxlEwV8oKoAzQMjeKOtJzENi2JkbI4vnd5NM8Izec5lS1w2CIxxXztIEm9VQSYeWjsXB3qHcPXL22Mu+9tzFiLPboMCBY0DI5AVBSdMDF82S5HDhiqPAysKMtMuuOtw3zA8OgK+w09PIoXR8NAzdjPrsBdtfkZgLAkjfT7/79BxnFeWi3Ul2djQ0p3w57cKDF6d38f8v0PH8cbxbgQUBQEFePT0eSk0c5x6LnlhM76zYnbKzQMk0+RxQInLntDnjxSeqzY2ifSYZL6nFNxFjJQa33QTQgghhBBCSAyyouCeLUfwDOfduETG8P1VtTgjwgW1hBBCCCGEpDPGGK6aU4J52W586+0Dmi7S+NuRE9jc3oc7TpmN+WN3FCeEEEIIIYTMbApd1E9moJ6eHrz22mt47733cOjQITQ1NWFgYABDQ0Ow2WxwuVwoKirC7NmzsWDBAqxbtw7l5eXJbjaZwXgKNQfHwjFCFpg098NbbHtqUTYW5rixw8AQBwD45vIaVGQ4JvwsGQVqF7/wHjxWCf++5BQA5hTp6TESkHGgV3/QxZK8DFy/oBILctxRi2TNumN3qtwl/XDfEEpdNoiMQRwrcBUZw7BKcJHAGPIdtpjLzGROScRXlsyCNyDj2Yb0KtwzksgYUihLikvTwEhKFOaJnAXJ4cdMa7JTTMLUZ7vG/621u7MITHuSQgo41DsIlOdxhTokqj5qX89gYp4ohfgU2fRxik82No7lT5w39UwFGVEKu63p1tmPeV9FHjIsEt5s64GiABUZdrxhQhiwVo+eMW98bDb5XCBFhuETBBRjik63dPTh7NJc1eUYkh/KHwrMSUa9a0ABPlBVgIO9Q/h/h6b2Hz1eP95MQBCNnve8ctL+rAeLEG9j9hBIVoAXG9uxNM+DQqcNdjE9+zweD51WD4ck4jvvHExKALHV5G0baf/hZcZcjCAw+GUFAz4/hvwB9QfgZMCRxKbvfhiPY4OjEcMRwtVmOnHLklnY2Nqd/OCusbmXmkynocGwZtIy1hYZg0MSMOCLvX/bRAEeqxScl2LBMCCRYcI8lawoweAuCptImnKXHU0x5km9sgzGGGoynfBYRPRFed/LXHbs6xnCQTaMl5s78frxxAUP5dst8CsKukf9hqzPO3ZumCo3aNCioX8YmbqCu05+BvXOb4c/bGleBrZ0RA6kDXdNXSnueu+QrueLJdbxPZWDAgXG4hrXxCPebvjY4Mkxpk9WUua7plTFWOp8l5QKJoftLcv3cM+jGyFSeK7ajYUiPSaZIbwvNLbjhoWVyLFbktYGMn2k3wiIEEIIIYQQMqMEFAXfe+8Qnj/azrW8yIC7Vs3BulIK7SKEEEIIIdPX4jwPfnfOItz53iG81sp/wUbjwAg+88pOfKq+DJ+oL9V9py9CCCGEEEJI+vvOd76T7CYQg/X392Pnzp3Ys2cPBgejF6XPnTsX5557bgJblhrefPNNPPnkk3j11VcRCEQukhgaGsLQ0BDa29uxY8cOPPPMM7jzzjsxb948XH311bj44othtVoT3HIy0/SO+jAckCErChQFaBtSD24fnFzQaNI12VoCH80olIh0QX6yCkbCCx+nSy3FvGw3FubGDn0bDRgbzhFyuE9/4JiRHt/VhMd3NU35+bqS7JiPY4wh165+SbZDFCAJDP0qRZrTTegjUuRMbrhZsj+rImNJLUJuiee7AAEAAElEQVSZjKf3nFz8kywCY7BxBBeEF4cuyfOY1p45Hgeuqi0ZD5L59d5jOBijHws/fmkN9tjVnR4F65MNjRXd8xynU2MvSz2nF2eje9QHBYBdFHCgdwh9Xm0F1X5ZMb2g8Wd7mk1dfyr7VH1ZxJ9bUig4UItsmwU3Lqoa///bbT1JD+6yCAzL8zOj/t6IgCyj+RVZc0hjJD5ZMT2AySih9yEZ52ZDvgACCvCVJbNwaVUBnjp8HH87kvigWD374qLcDGRaJfRq7NvDRXraRBT7f+edg/jh6tpgcJekPkbLt1vQPuIzvV1GWZnvwcNnzB//f4XbnpzgLo3X8zAAH64pQs+oD/9q7lRdPryvuqauBD/cciTqslmTwkzWFmVHDMuLh8gY9nQP4LpXdnI/JhTcmy79ZaIFFEX1urDQLE8qHFNHxuaccmzpE5zAc8x//Ix5sIgCCh023LRxDw6qhO7XZ7vxtaXVXM+fKufsM1F1pjNicJdVYLBLIhySCCD42frf+RW4d2vkPrZ5cMSUACYed66sxXvtvfi5Qed03rHk7nQNlFMLOozktrf2wyGKqMty6Z73/HvDCbxxvAcfrinClbOLYwZ3XVlTBABYWRD9HCkesd66VO5vGEvecczIrRJQlKTPX6c6AakxZkkVkz+zDknEaUVZeDVKTYHR52WR+k214K5Ij0n2VyZ+xZzvPcnMQ8FdhBBCCCGEkJTll2V8552DWM/xBSIQ/OLtzpW1XHcaI4QQQgghJN1l2iy4d00d/nroOH684yi8nBc9BBTg53ua8cbxHtxxyuwpdyYmhBBCCCGEzAwU3JXehoaGsHv3buzcuRM7duzAzp07cfToUa5Qncsvv3xGBXcdOXIE3/3ud/Hmm2/qXsfu3btx66234rHHHsPtt9+O008/3cAWEjLRj7Y14KWmDk2PGZoUAhQwKQJDy6XLigltmBw88f33DuHfnN8lG80vn9waeq4pT8XaggU5sUO7AMDKEZyjx1X/3mbKeo0T+w0TGWATRdW1DAdkYJpndt13ah1WFWRBYAwiC4aahSQ7uCvZJIGNF5brwWBsMRhPvV2ii/IyrSJG/DJGw77vcEkiRMaQY4sdnlrmsqEuyzX+/1kZDhQ4rDgxrB6AqdXRgWH8YnczRCEY3HVcJchBYif7zkSEaaQC+9jxIlkBm9PBmsIsXDFWlAsA/+9gK+7b1qBpHT5ZNj24ayZbFiUg8LBKGEOq8k36rjkV9h21ov8UaOIUAdmYvl7AxHFUNMneBBdV5I/3+cno8gf9Afx6XzOum1uO2iwXPjanJCnBXXr2RbdFwjeX1eDWt/brPl4m8/0PFczzhKvKClDptuPowNSAk1S0t2cIFz//7vhYL1m0BkE6JAG3LJmF1sFRzuCuk+tfXZgVc9nJ1+UvycuAxBj8Bn7wRab92GMZC6WajjctFBlDfZYLjAXfq52d/Zrm5YBgH6G2TUPhCqlwTB0Zu9lGCjSFG08fUeKyo3BsPoQnGEhLeNDXN+3jXpYY57PzynFxZT7+d1457KIAuyTALoqwS0LEfeKK6kKMBGQ8ubcZfSkU5h8M9zPuEzfg94+vNx3pmffeOhayNeQP4OKqAl3P+8/G4HdB60pysCI/Ezk2C7pGpwbriAw4rzwPAFDotOGK6kI8dbiN+3m+ML8cG4/3YFtn9GCwWO9dKuexCWBJO44Z+T1YQFEw/UY0xmKMgSM3eFr46OxiSALDb/a3RF0m0pzJt5bX4LpXdqJx0rnX/Bw3ajOdeCbO8+Vytx0BWYFfUeC0TP1OTO38INJxRzBx9GcVmGptBYXBEaNQcBchhBBCCCEkJXkDMr719n5saImc9D2ZxBjuXDWHQrsIIYQQQsiMwhjDh2cXY3GeB996a7+mCx13dQ/g4y9vx5cWVuKK6kKuC38JIYQQQgghhCTe6Ogo9u7dOx7QtXPnThw6dAiyTHf/VPPMM8/g9ttvh9drTGBDY2MjrrvuOnz84x/HrbfeCkmiy++I8fRM0YzICgKKMn5xsVl3tecJBwwxo4cKDz4BgB6vD0P+5BQ7hRdZTYcQFpExnFqUpbqcNRUqOZNgaV4GvrZkFgJKsBRHVoKfOVkJFdQwU8Lq0tFTh9pwenFOxN8VOWMHL5mt2GnDFdVFCCgKHtZwMwyjiIxxBRtEc/PiKpxalIXf72/Bv5o7MZCAYs9AgnfrXu/U1/T8+5fDIYlQyy3wTRobM8bwyfoy/HDLYSObCADwykCLSlhXuPDAtpnSjb51ohdP//1trv10bpYLdklAYKxPlRUFe7oHE9DK1OaeVPym5/PokxVUe5w4mKZBUiHX1pXgyX3RCxX1sAhsSlCVFlfXlqDUbY/4O55i/LNKc/DfY126n98M3sDEfjQVChfVzinMLO7Uq3vUZ8i2Y4wvMCjZb5NfkcevM0h04GdI+H6QrP1W7znhutIcPHnOQjy59xheaenS3C+1Do3ijncOQGAMbKwdB3q1H0MX5rhxeXUh/LKCJ/cewzGOcU6o4NrOM75lwNeXVeMLr+7W3LZk6PP5gbC8jDy7JSntsGoMowotz3vKET4uLXbacGlVAf7eMLWQ32MRsaowE++c6IVVYLCKAqyCgPdV5uEfDe2a2hi7PUzzZyk0zl6Sl4EvLazEkD+AX+xpNqxNyXRWaQ6+t6p2/P/n/v1t9Gs8Byx02lTH44Hx4C5z+s+qDAfEsfCxIX8Axwaj9y+jY2ORXq/flLaYgee4Mxo2xtrfo95HqwV+93p96BzxIaAo46FBxFynFWah2GWDVRRwSVUBqj1OAEAh5+MZY/h4bQkum1WApoER3P3eYezTcbw2WjC4y7gEnN7R4Gc3WWPCeMUTYnZi2KspdC8Sv6LAY5Vwz5o6fOn1PRO+9xAAfHnxLCzKPXnjjZsXV2FTW0/MfjXcv5o6cbBv6txAhds+fgOGUlfkc1wgtd9XxpJ3HmDk9LKsKHQNtwpx7LxnJqjJdKrOPx/sG8ID2xrw5cVV4z/LtFnwu3MX4x8NJ7Clow+KApxeko1zy3Lxkx2NcbXJY5Xw1wuWxlzGryMky8zgeJsowCvHHg+nwvwXmR7oyiFCCCGEEEJIyhnxB/CNTfvxZlsP1/JWgeHu1XVYW5xtbsMIIYQQQghJUbVZLjx5ziL8aNsRTRfGjQZk3Lv1CF5v7ca3ltcgz5HcwilCCCGEEEIIIScdOHAAX/3qV3HgwAH4/elTrJIq7r//fvz0pz81Zd2/+93vcPjwYTz22GOw26NfyE6IHnqLz4d8AWRYg5eEmlVEoWWtWkK+eE0uXEuVwCx9rUiNtodcUJ4HhzT17tiTWeIIHUpnNlFUnTtt7B9OUGtSW7QiizveOYD/NHcmuDWAQxRQ5LQhoCioz3bjipoiAMCVs4snLPep/+7Arq4BU9siCgyZVv2X7v9oWwMe3SlglscBI7pYnmOFGX25VqMBGQ5JVC3gaRv24dd7m/GJ+rLxn32wuhADPj+e2HssYUGPty+vQbbdAp+swC8r8CsKysMKH1Pl2GU2RVG4w+VuW16D2izXhJ+teupNM5qVNhiANUUTr4ML6Ahu9skKzinLxfok9L9GqvG41BfSaFVBJl4/3qPrsZ+fX46r60qj/v6q2cX448HWqL//VH0prqkrxX+Pva3r+Y32/VW1OKMke0qhuZgGSYOp2Kf2+/yGhDR2j/rwyI6j8a8oDgzq54DhRbmBZAV3sfB/J2efiKfQd06mC3etqsWQP4BnDrdhOBDAoC+AN473oEHlHKPfF8A/Gzt0P3dIqcuO91cWAADeOdHLFdwVes08gR++gJywoL0sq4Tzy/MgMhazL9Yi0WG2IWrhPZNZx87XeffH8OUYY/jqklkQGcM/Gk7AP/Z5nu1x4itLZ+FXe5rx9oleTe3RKhQaokXoHGFuthtzs91oGxqdNsFdo5MCNbUGGogMOK0oG0dV+pHQe21WYMGfz18y/u/PbdgZM2BmxB98zYciBMukKp7tNhL2Xl42qwBPH5kakBdO7b3+V1Mn7tt6hK+BxBBL8z0xx/+83BYJc7PdsEupMb8qK4rmY00sfb7g95jJOm7GK54bVggs/uCZUJDiwtwMPPu+ZXj2SBuOD43CaRHxgapClE0KjpYEAbVZLu7grkihXYtyM/DzMxdwPT7B9z/QRGAMNy6qwv/OL4c4FgQqjIV5/Xj7UTzfaFzQqJl6Rv2GHY/rs1zYyxEWaTaXKGAwYNxtfhhD3CF56SK0H6vZ2zP1Ow2bKOBDNUX40Nh3ISFxB2Rx9ANq8wKR2mDWeXxtphOD/oBq+C0FdxGjUHAXIYQQQgghJKX0en34yhv7sL2T7w4gNlHAfWvqsLIwy9yGEUIIIYQQkuIckohvLZ+NUwqy8IPNhzUVobzZ1oOr1m/DVxZX4fzyPLpzEyGEEEIIIYSkgK6uLuzZsyfZzUhLjzzyiGmhXSFvvPEGrr/+ejz66KOwWikImxhH77TMoP9kcJdZxTFaijPMaMKU4C7Owl+HKGDYwOKAyfTMpfF+H54IK/I9+PqyWVzLWjmKsqcjieMtpov7g6LtI6MBGaNJqPA6vSQHd66cM/5/RVHQMeLD8aFRLMzNGP95It4/iTHMzowvfGY4IGN3tzFFV2rvhqIoMK/n5Bcqct7S3qe6bKT975q6UnywuhBbOvrw9Tf3mx4qsjTfgxJX9GDXNMjBMYSWQrDN7X1oGhhB08AwDvUNwZuuVb4GmpfjhmdS0J+ez6NfVnBWSQ4uLM/Di036gl0Enc9tJC3F5A5JwLA/dovL3XbctqwGJ0a8EBjDNS9v517/A6fV49RJoWqTrSrMjBkWs7Iga+x73Rrc9d4h7uc2i1MSYInQf6ZDMWwqNrHf60fbsNeQdR1JcjAsY1ANCw0P7vrI7GKcUZIDWVEgK8EwCBnBv3tHfXh0V5Mp7VQQLA4WkLzjrBHP65REfKy2ZPz/Ny4CNhzrwrvtvZAVBQqC74cMBYoCDPoCWH/MmGDG8ELpz84rx785Ah+1hPv5ZCVhn9cSlw23LAme3x7qGzIkbMqnIzzTCDaNwdmhsTBv/z15Maso4BvLqnHd3DK0DI3CIjDUZ7nAGIM3AduAQXvR/uTxfyqfl2sdUx3oHcRPdhwNBpoJDFoD4FcWZMFlUQ9oHxm7tiwR/addjN2eERPn7rT6QFUBnm2IHbBV5rLhrNKciGE44cJD2NYW56gGd0Ual4XTGnBH4md0oK1ZN93QKqAYEOIy5qZFlci2WQAEz8kKHVbDxsSJEs+8t8BY3NvSH7ZfeKwSV1hcvMGoAQ1ztckK6eUhMCDHbgFgmfK7/7akT5D5vp5BVHkcca9nVUEmrq4rwfWvJf8agyGDj+0CUnu8ZyTG+F7rnq5BXPHiZlgEAVZRgEVgsIoCrAKDRRDwhQUVqPY4ARjX58fiV+lXIgd3GfPcOTYLukZ9sAoMl1YV4FNzy/CFV3erPi4VQ+FJeqLgLkIIIYQQQkjKaBsaxY2v7+G+4MApCbj/1LlYmu8xuWWEEEIIIYSkjwvK87Ag243b3zmAnV1T76YTTZ/Xj9vfOYj1zZ34+tJq5Dmo6JgQQgghhBBCSPp54YUX8PDDD6sul5GRgQsvvBArV65EdXU1MjIyMDw8jGPHjmHLli14/vnn0dLSEnMdr732Gr7//e/jjjvuMKj1hOi/QHl9cyfmZbuwICcj4h2W9bp7dS0EBMOpqjL4iwbuWVOHWzbuxf7e2MVrk7kkATZRhF9R4Jdl+GQFvrELvSdf0M2zrQQAd62qxT8aTuCVli5NbeGVrpd0uyQR955ah2V5Hu7wMVuSE2fWlWRjQ0t3wp+Xp0Av2Rf3Z9sssIsCRgMyukZ93I/7/qpa2EQBxwdHcO+2hrjbES1cJVnFXa2DI3h8VyOaBkbQ2D+MpoERDAdkCABevXzVeEFsIgpfRRYsvKv2OHC4L7lBHDxSpWR6ZCyAh+c7C2uUcAO3RcLpxTl45sKluPY/O9Ct4TOilVpB1UwpLpM0FLw+sL3BvIakIQbgW8trpvxcrfAtEp8sgzGGmxdX6QruyrCIGPLx3yjILLzBXTk2C04p8OClptiFuTUeJ3IdVuTq+C7UJakHYKwuzMIlVfn4R0P7lN9dWVM0fq1jqhTsRxvDGB1QYIbJfWqmVcKdK+fgoe0NOJSkY+0Nrye6ONq894lnzeEBAwtzMyYEo072UlOHKe/LxtZuPG5SKBgvs84F1pXmYF1pTsTfHRsYMSy4K7z5vGFRWsL9fLKSsPOl8DGIUeOugSQdC9XCeyazjZ3U8Pbf0bZPnsM6ZeztTUCgkgDtoZFT54lS99jFGDSl3B8f8uI3+0/OTefYpoaRRFPstOE7p8wGAGzuiB2A3DESPDdKxLazS7H36ZFA8sedIf87vxx/bzgR8y373PwKnFKQiZ/vaY65rvBAssV50Y+TIWqfg1Tez9PFN5ZW4wdbDnMvb3QIQxJy7SOSFcWwsN6r5pwMH329tTstA+bm5bjx1aWzcOe7hzQH6I4G5Li35bNH2tA14sPyfA8KnTaux8T79u3qHkDL4EjMAPqQFDl9naLMZYMjRjDkkEqwdyo5szQHjTrDmx84rR4jARllLjtqs1w4muQQ6BCjd5uTgabTH29I2agso3lwNOrvrwkLAYw3uEuJ8Y4O+PwIKAraR2KHNkbqK406b/vKkiqcVZo7YazE85I15iUTEhUFdxFCCCGEEEJSwpG+Idz4+h7uOyu4LSIePG1uzC/6CSGEEEIImalK3Xb8dN0C/Hb/Mfx8d7OmoqhXW7uxtWMrbl4yCxeW53EX7RFCCCGEEEIIIcnW2NiIb3/72zGXEUURn/70p/G///u/cLvdU35fX1+Pc845BzfffDOeeuop3Hvvvejt7Y26vj/+8Y9YvXo1LrzwwrjbTwig/y7pD+84iiyrhF+ctQB/PnjckLbkO6w4uzRX12MLHDZkaSgqDLlqTgk+M698ws8URUFAmRqso3Yxd47Ngu+vrsXSPA82t/eiLssFvyzDKyvwywp8sowBX2BCAZ0e6Von4LFKWJ6fqekxFo1XsGusS43p4sp8WDUWLhuFp3Ag2Rf36w0iOqcs+Bnf1zNoSDssUSrz4q3zlhiDyIJF/+GrclvEmIX0O7oGsCPCDS5kAMcGRlHlCQYSJiJMKRQisDAnIyWCu3i+Nvj8/Ao8tqvR/MbEECre9ljVyx6iBXeFFDpteOKshfjt/mN443gP+rx+DPqNLQ5X25dYguIerQKDN4nVwAILFpilT3lk6si1W1DtcU75eUDH29k54sPV67fh+6trNT/WJgq4c+Uc3PLGvqRX6PIGl9hEgWvZePp8nvUzxvD1pdWoz3LjLwdb0ev1I8tmwf/MLsYlVQXjyyUr1HKyaNsjHYIGJ4/De71+PLS9AX1ef3IalAShTfDJ+lI8sfeYwetWH81rCRX8xtJqfGbDrjhbpc/8bDd2dRsXcD1ZMj4vMseZlksSMeQPqC4Z/lmyc57YaCmY9ytKwgKvwwvB06Abi8mqcbIhNBbm3R+1hP8kYlzJGNPUJoapryGVg2Li3YRqQQuzMhwod9uxLD8Tl80qgGMsbFQtSCYUwJCIfkytf4l3fs5IdlGEwFjM8VpAUbjCDkfCzjl9HDuC2nudDmO0VHbTokrMzpx6vhWLYPB8ZKqcBwQUxZT9qXVoFC1DfDVhqSTHZsH8nAz89Mz5+MvB4/iFSihfuK4RX9zb8j/HuvCfY1340an13MFdRnwv0ef1o8Slvlyq7LeT/ezMBci1J/cGxbk2CzrjvElAtk3CrAwHmgZGdD3+1KLsCf93qIRlpiuBMcMCB1PRpVUFkJXg6KzEZUf7SPw3nwg/p1iQHV/9baxe4Px/vMM1dxnpPJKn/3RJouo8vsSC37D7ZSU4N815fkFjK2IUCu4ihBBCCCGEJN3Orn58eeNe7gsmMq0Sfrx2LuqzpxZTEEIIIYQQQoIkgeGT9WVYXZiFO945iAYNd1Hq8wVwxzsH8XJzJ76+tBr5Ou44TQghhBBCCCEk8QRBQF5eHk6cOJHspiTFd7/7XQwMRC/EdDqdePTRR7FmzRrVdQmCgA9/+MNYvXo1rrvuOjQ0NERd9s4778TatWsjBoERopWWIsXJRIFBYsZdkB/vmpxS9DudRxPp5TPGIEX8eex1zc12YWmeBwDwpUVVEZf504FWPLC9QVsjAawrOVkIYXYIy+0ravDG8R6sb+6MuZzEgA/XFENgwIaWrph32Qagq9U2jYVqX1xQgUd2GhP6s6owCzu7+g1Zl1ZcwV1pfnG/UQF0lih9ULzFXX5FgT/CKtYWZ8MbkPH2id4JAV4FDitOqNw4rnFgeDy46932vrjaxyNURL4oNwPPNiR/rKaoRDiIjOET9aUpENwVLN7mOT7aOHbkYpcNX1taDQD40dYj+MshY8IuQ9RCLBIVJpBptaB9JHmFsh6LBCnJ4WHpyi5GHj/JivYgAwXA/t4h7hTNa+tK0e/1I9dhwQdnFSHHboGcAsW5Fs6DlMD4jseTVzc324U93XwBlmpBCiEWQcCHaorwoZqiqMsEUuTzEe0l5drVQ3gzLCLWFGUhwyKhwm3HA9uPGty62CKFHh8yORzznNIcuC0S/tFwIiXCCUO7/IXl+fjTgVYMJzj0xK+hj6jIcJjYkuhW5HtwQXmeqcFdrxzrwq6xc5VPzy0fD8c12h8PtOJQ3yBkBVzXfzy+bj5+vbcZLx/rirncO229+N8NOzHgDeBby2u42qLl/GdOpjNhgdfh/XS6n6NpDc4OBV1zB3dpWLc3AX2LKDBN+0mkZRN9Y8J71tThP82deLGpQ3XZeI/6au/ruWW5uG5SED4QPFbHElCAX+89htWF2oLd9VA7pwud+83JdGFzh/nn6LHYJQESix2eyxvcNSqf/PzwBF5ScJe5fLICSWCYl+3Cbs5zAKOPYW6LiEyrBHnsZhWyokBWlPHz54sr81HhtuPRXU3GPvEkshLfdxHR8J6/pZpQ4GGm1YLPzCvHBeV5+PC/tnI9VhIY97mimlve2It52S4wMDAG/N8pc1DqtkdcVu9NYCasg3MfSIW5gUhSIVCs3xd/cPRNi6qCIaYGtAcAHFHmltIdA1+AsIDg90lvtvWY3STD1Ge58M1J52JGfB8WfqOL1UVZcI6FO+sS4+MmqgSehkQKXuPph3huvvH1TfvGm/ijU+uxtjh7Rny3R1IHBXcRQgghhBBCkuqN4924ddN+7rukZNss+Mnp81Cj8U4XhBBCCCGEzFRzs9148uyF+MnORs0FKK+1dmNrx1bcvHgW3leRl/CL3AghhBBCCCGERMcYQ0VFBRYuXIgFCxZgwYIFmDdvHnbu3Ilrrrkm2c1LuPXr1+P111+P+ntJkvDYY49h9erVmtZbXl6OJ598EldeeSXa2toiLtPR0YGHH34Yt956q6Z1ExJJPPUdIuMvEGFQLxqMt3BHz129tRSbqLWPJwshvHhOi9mZJ29Db/aUmU0UuPaLryypxuXVhQCAA71DqsFdevY1a6QEtQjqs1y4uq4E55TmGhLcdW5ZLs4ry8W+Hr6COqPxFIOYfXH/jQsrYZeE4F3CEdz/H9/dhHaVcCpeRrXfEiWVyKwiqvPK8rC2OBt+WcG7J3oxEgigxGXH7Ewn1v3trZihQY0DI6a0KZrQNl6UG9+d7RPNmuTwpdD1RArHPmTVGG7g1XkMiEXts6T12Jprs6DX69cUjAIAtkQlhEVRm+XCOyd6EX9EgXGqMhyabnKTLNax984bkNHQPwxZCcbs7Y3jGPj0kcjnMZN9YUHFlJ8l+x10iAIybXxlTwJjXJ+xycusLMjiDu6yagwxjSVWEEQiRfv+N9NqwZxMJw70DkX8vUVgeP79K8YDK/q8/oQHd3msiS+JswgCblteg6vrSrC9sx8MDI/sPIrOEV/C2xKuyuPAd1fOwZ3vHkS/T2cRrg48ASQhZgRDAMCOrtiBXAJjkAz87EbS5/Ojb6xg/7a39uOtMvXAeD3eauvRVHzOGLhe+/FhL46PnVcMcAQPrCrIRH3WyXPic8tyYwZNX11Xatr7P1n4nEgqXN3isUioyLDjfRV52N45gJc4Ap5CtB5zQv0xz/kroO0zaca4eTKnJGo6L43U/kRlxVy/oAJVGQ6sKcrG8aFRruCueKltm2jnC7MzXarhfX1eX0I+o2phPu6x0JwragqTHtwlMhb8LMU4zgVkBQJjsAkMozGW++ZbB7CvZxAfqSnGfVuPqD632nYy61RvZUEm3j7Ra87KU4hPVjA3240nzl6EF46247vvHlR9zAPbGvDozkY8cvo81GfHf/OWn5wxX3WZvxocMh5JQFFM2Z+MvLFIIk3+LkNLv+iXFdRnubCuJBsbWrrjbkt4qFysY7ARXTfvsTdFcqenSERuV57dgo4Y53vxzJvmO6y4bm4ZLqzIB2BcCKme7+bSgchYxOCnyZ69aBmckohz/v5OAlplDK1zv7wmjyviCeGLdUYQ7Ev0BZQadSwKf/bQ6+Q5P0jUuSqZ/ii4ixBCCCGEEJI0Lxxtx13vHeK+QDPfYcUja+eN3/GUEEIIIYQQwscuibhlySycVpyNu949iHYNFw73+wL47rsH8e/mDnx9aTWKnDYTW0oIIYQQQgghJJrS0tLxgK6FCxdi/vz58Hg8yW5WynjooYdi/v7GG2/UHNoVUlRUhPvuuw/XXnst5CgXyf/hD3/Addddh/z8fF3PQUjIx+aU4KLKfHz6vzs1P1ZLcNcF5XmqhYXxXqrcpiNQSEuRpVpRCc/30KOcN5iasu6wYgwj7mwfi00QxsJPYsuzW8b/bdbF6HZB/U7tD6+di5WFWZrWe+PCShzsG8KoP4COUR/ahrzwyTKyrBZcUVOIiysLwBhTLV40C08Bk9kX919RUzReiB3S0D+M3+5viWu9n9+wCwFFwbDOz8JklijF5WYFd4UKMCSBYXVR1oTflbntONwXPaSnaSCxAT6hufVytx1ZVgk9XvVQBDNdNaeEazmBs+jGLKP+4L7JE3CjNdzAqzM1Z3amE+eX5yEgK5AVBX5FQUBREJCVKZ/TybT2FZ2j+oJgbKJ6f20mITQmSVx2TEyfrC/Fp+eW4bf7WvCXQ63oHk3u5y+WUD/aPuzF1S9vN2SdPCEsqUpG9GPLZCJjXMV+k4cTn6wvxZvHu7E/SkBVOCPHImYdG7WKNc65oroIP9hyOOLvLq0qmNDnmTVOax/2joVnBEMAXJaT/dv8nPiDE7QKba5ytwPl7uB1rH851Jq04K7wrb6uJAfL37cMd717CP9tiR3SwoNnD9WyHydpKA8G80JOEk3rKYcApnm7D/rVD97vq8yfECqwtjg7anCXTRSwPM+DjhFjAodjKXXZcHpx9vj/tYy7PjuvHJvbe/Fuu7FhQasKM3HXqloAwFmlXo3BXdrevNBYWABw58o5+PbbB2Iur2X1auPmCrcdrUOj8MURXCExpi24K8JcjNmB2iFL8jxYOBbIXBcWYheLgNhhB2rU5vsCUbY9bxB5Ivros0tz8bcjJ6L+ft7Ycf3MklzUZbVEDG9nCH42YgVlxSu0KdTD0oJ/20QBo3LsvnNP1yD6Kvx4heP4rBa4aMb8U77dggdOm4vTntlk+LpTjT/s+52LKvPhVxR8771DMR/jlRV45UBCZ0YS8ZmUFcWUfpP3+4lUY580j6LlZQgM6B71o9xlj7mcnvlAFuO7ByP6gz6fH/1eP0SBjZ1TB8+rJwdIyUmP9Y5M7XDgEAXd8975dgs+MKsQVRkOfEtlXKVHtceB35yzaMKch56PT6THmB1cnCyM8Y1tAjK4Ar5CPjOvDD/f3RxP0+IWKRR70IBQ7sl9SDzBXbFurMHbH0V6X8w4Fp0M7krPYxJJTxTcRQghhBBCCEk4RVHw+wOteHgH/x3WqjIceGjtXAoJIIQQQgghJA6rC7Pw+/MW454tR2Le8TSSN4734Kp/b8Xn5lfgQzVFCbvgjRBCCCGEEEJmqvz8fHzpS18aD+rKyclJdpNS1oYNG7B///6ov58zZw4+/elPx/UcK1euxGWXXYann3464u+9Xi9+85vf4JZbbonreQgpddtRCjvqslwRC9RiETUUOfIUU7YMjeKnuxohCgwSEyAyYFFuBhbn8YUGijoCrbTcUVzt+nyeC9C9Gos25me7cf3CignfW5s9TWYVBYz4Y7ezwm3H6SUnjxM8F6PruWBdLZAGmBqG9um5ZfjlnuhFD9cvqMBHa/kChLSG8hiF53Nl9nxppLABtaCE+kwX2ka86I4Q/MMQLKTb3GFsYfrm9l78ZMdRWEQBVoHBIgT/bhkcNfR5QmJ9zivcjpjBXY0DI2Y0KaIPVBWgIiMY7sEYw6LcDDQPjmBRbgbmZ7vxvc2RQ1HMIjKGBRHCTv54oBVbOnrhkxX4x/5o7SeNNhIIFijxBIPw9FHhvFECWdVUuh24tq5U12MTVb9q17gtjHZqURaKnFYElLEQBoFBGgvz8gZkUwoeY1lVkAWLIOBTc8twTV0ptnb04Yuv7U5oG3iFipyNPKxkWNK3bEhRFO5iS5HpGwM5JBGPnD4PD25vwAuNsQNVLAam/8RTLGmkWP3S5dWFaBkcwW8mBYW6JBE7Ovvxif9sh8AYPjirEBdWmBNiffEL743/u9Rlw9MXLhv//2nF2ViUm4Htnf2mPHckkfYxLQXBRpv8zG6LhKX5HmOCu1T20UU5GVhVmAkA+PBLW+AbC7SUFQUyMPbv4N/fWFaNU4uyY67PLMLYcWg60BoazZj285R+XwDrSrKxoaU76jIrCzIn/P/C8jy8ebwnYijVN5dVI89hRZfOMFItblxYhXWl4efF/I89tywXAz6/4cFd4X2G1nNwSQiW2fMeLaxiaAzBNzcUrT2/39+C3+5vGQ+mDSgKRlTOCeqzXXGfX4kaP6uRFk1UYX74cy/KzcCyPI/qubXA1MNFYlEPkYq8cp6zAsZYQrbdsnwPFua4saNrYMrv8uwWXFJZACC479+zpg5feHUXjoXNJYgM+MKCSjy5t1k1KCseCoKfA7VtHhrL2SQRUAnWEDT0xxaBoXfUh7ax8FJhbIwrsOBxoF3HjRLUyMr0CblU0zI4iu2d/eNjlsMc4b0hibxWMhGfyYCicIckx1LstOD40Oj4fp4q5zlaOaWJ20LL+60A+Mi/t6oup+d9jXVoNGKI+7kNuyL+/J41dVg39n3Dlo4+vGfwGMkoispI6eYls1TD+aJpH/HhFzG+14hXptUy5TOoZx/xpPGcj1YCY1zn335F1jSuvKSyAHu7B/Faa/RzILNFCu7qMyCIf3KfrPM+FsF1xfgd7/aOFCpnxjEv9DqpzoEk0szpjQkhhBBCCCEpwS/LuG9rA5450sb9mPk5bjxwaj0ybRb1hQkhhBBCCCExZVotuGvlHJxVmoN7txzRdBevIb+M+7c14KWmDty2rBqzM/nuHEkIIYQQQgghRLvq6mp88YtfTHYz0sLvf//7mL+/6aabIE66W7YeN910E/7xj3/A54tcbPiXv/wFN9xwA6xWa9zPRUhARzWfJDCuO9qvK8nGkJ+vwO1Xe49N+P91c8tUg7veON6NnlE/erzaC3O1lAqpFS3zxLFMDpmazCIwuC3SeMFqscuGZfkTi5TNvuzbJgqqF65P3l14Crr1tJsnFOeZw8fxTnsvLq4sQG2WC2uLsvHEnuaI74fIGE4rjl7A3znixfGh0fGC/xMmFCfy2NDShSN9QwiMtUOGgrVF2ajPPhl8ZHaBY6R9IFIxRziLyPCD1bX40ut7puzrn19Qga0dfXjjeI+RzcTu7kHs7p4aOvg/s4tRk+lEYCzQITD2xy8r2N8zhH81xw5KiSZWoUmF2x7zsU0JDO6aXET9gzV140UjiqLg7s2HufqscHl2CzpGovezX1hQjt/uPYb+CMF/NyysgEOaOjba2z0QM6QhGUIhATzHRavGsCq1Y0A0AUV/mFmiwgSSHdw1N9uNudlTw+EAYMCAojMtrqwpwtL8k2MXSWBwW+I/NzCLdWwsZ+S+4rFKKHHZYoYofqIucoimSxIxyDluNFqJ0xYMLOAs/hMZ31j4lWNd2NG5BQzBoAoGIMMq4cLyPPXgLgNDRHkCCRNBrYjxiwsr8a+mDhwPG4cN+gPYHxZycEZxdkLCHia3VWTBsc7dmw8nrMA20i6WaqFQRhWmqh3tPjy7COeX5wEAWodGY4ZDewOKrmABmyjoPl6H7Ozqx9K8jLjWkSq0bkMB/OHeIQM+Pz4yuxivt3ZHHGu/vzIfufaJ816MMdy+ogarC7PwzJE2jPgDKHbZcHVtKRbmZowto63tegQmBTdoOZaKJgUXha9R6/sXahPv8SJ8LMwTmhLt9Y4G5Ijhz+OPA/D78xbDGwheP7Stsx//atJ248BIRIFp2kaR9u1Edcf/9+4hLMx1Q2ICJIHhliVVuG3TfhyNcI4pMYbaLBdODI/GPH9TozbGiTY/wDM20hIqFQ+LIOCHa+pw+9sHJoTk1Xgc+PaK2chznOxbipw2/OX8JVjf3Imj/cOwigIuKM9DicuO3+1vAWDu+PRnu5vw8zMXAAhuw9DNEoIBc8Ht5Ro7p7BxjA9DwVs8JMbw35Yu3K0S8P2X85fgqn9tNWRLBBRlfFycGiPU2LJtErpH1c8rRcZgGZsvHxgLV3uxqQMvRgia5MHzeeKlKAq8soKRQAAjfhnDfhkKFMzyOAEkKrjLmPnM1iEfPvDPzfGvKMnsk+bJzHgP9OxCsZqhNdRVi/DjQtuQOTdkMILadOHyPE/K9m2RPn96Zhw+Wa/v5gLpiIHv/DsgB4+nL7x/OQ70DOLGjXtVH/O9VbV4ruEE/nakbcJ8R6L4I8w392m4tj8SkWHCTYiA+ELkY4V7844lIx1LzZhTCZ1DnVGcndCwdzKzUXAXIYQQQgghJGH6vX7c9tZ+vH2il/sxawqzcPfq2ogXDBJCCCGEEEL0YYzh3LI8LM/PxH1bj2B9s7aL6HZ1DeCal3fg6toSfGpumea72BNCCCGEEEIIIUbp6urCxo0bo/6+oqICZ599tiHPVVhYiIsuugjPPvtsxN/39PTgtddewznnnGPI85GZ7c5VczDkD0BWgM+8spPrMRLn3abfX1GA3x9o0dUungKln+5qwt6eqcE9PJiGghi1pvBcgK5WBL4k14NHzpin0g5zC6lsoqBa5Dz5ta4tzsbrx2OHF+gpyuSZB9zY1gu09WJhTgZqs1yYl+PGFxdW4uEdR6cse8viKlSPFaSFG/YH8F57H/57rBPPHW3X3E6j/b3hxJSf5dmtE4O7TK4QjrSfqe3jAmNYkufB3y5chr8ePo7jQ6NwSiI+MKsAczJd2JHAgoWXmjpQ3+/CcCCAYb+MEX8AQ4Hg3/8zu1j3ev90oAUvNrZjJCAH//gDGAnIKHBYccFYkEQ0HcNejPgDUwrzzDC52D7888cYg0VHKMXiXA9ePhZ5bv/c0hxcW1eGFfmZeHjHUWzpCL7XOTYLrqkribrNUy14BAgL7uLo060a2+/VGQTS0D+s63EhAvjCJeNhk5L7vY0yVvgdSaLCy6oyHPif2cW4pKpgyu88VgmrCzNhFQRYRUHz92RmCgVDGbmVPBYJH6ouwo8jHItDzimL3GfaRCEpwV25dgseXzcfX3xtN9f4FggFIqgvO+gPYHBg6ms6xFGYaTGwn5wc6shjeb4H2zv7YwYkafViYzu2dvRDZCe34aJc94QbOKmN0QXGNI3j9WqMEIiSa7fi3jV1aB0axYHeIXgDMgTGUOKy4RP/2WF4GyIVx/Puo9k2C0QWDKPsjrMAd1yE505E+Aow8dxQ7agjK4qudn1reQ2+/fYBzY8L1+8L4NFdTXGtI1VoPYYKTPtj+n0BLM/PxLeWz8YD2xsmFIufU5qLry2dFfFxkiDgosp8XFSZH7ktpkdeTz0/0hoCZcpQOGydNkHARRX5ONQ7iH0cxxxRYME+g7PLDw8PUhtrxvrMqs37FDpt4+fxOXbjbsidZZM09RORmpmocWZD//CEc4Kra0vw5/OXYGfXAPb3DGLIHwBjDOVuO5bkZSDTasEtG/eqztOwsT9gE8eCxU6b6hgk2vkSzzb5T3Mn9nQPqC6nxw83Hw4Gg42FX328tgQ/OWM+9vcM4sSwFy5JxOK8jIjtlAQBF1ZM7VMsCTjVsQrBwDUedo5zr1DoFw9JYKrzPR6LiMoMR3AcYEAYbKjPWJ7vmRCqZpTZHgcO9sV3Hh1uSZ4HOzr7Y4bhnVqYiQfWnpzTPeOZTRiNcwwd77Hs/x06jl/taR6fv5rcV5e5bHjqwmVjz2W+t9p6VOfOZhLHpHlvLeMC3kX1HKdi7XdmHvbCz3ESdXzVQ62/LHXb8bn55XgsBc8HIm1XPdv6/Bn0ORY5vwP1KzIYY8i1W3Hcqh481zHihUMScUVNEa6oKcKpT7/JPQY3SqQQVi9HIzIsIvp9keftluVlTgj3VRQlrhC7WIdR3iDIiOG7OtsTS6hvOLcsD4/sbIy63OkxbixEiFYU3EUIIYQQQghJiGMDI7j5jb2aLl67sCIP315eA8nAO9URQgghhBBCTsq2WfC9VbU4u7QT9249zHU3upCAouDX+47h5WOduHVZNZbnZ5rYUkIIIYQQQgghJLJ//vOf8Pujn89edtllEAz8runyyy+PGtwFAM899xwFdxFDRAozUiMKjCtYy68oWJbvwTYdoT08RWbxFLtq+bSqFTHw1GKpBeXwBFXpebkLc9zY0RW7KHJZvgfegAy3RVR/rZMut7+8uhCtQ6N4ct+xqI/RU29j1xDgH1408/HaEizKzcCfD7aiz+tHjs2C/5lTjLlhwVfhukd9uOUN9bugJ9PUovDEFzCVuuxYnJsBWVEQUBQElOC8bUBWICvK+N3Uc+wWfHZe+ZTH9/sMCozg0D3qw5ttPRF/pzc8CQC2R/kc+WQF5RkOAMF58Aq3HeVuOyoyHMG/3XaUuewJCe0CggEdsVgEhlGNuTinl2TDIjK82Ngx4ecLctz45orZAID5ORl4fN0CnBgeRUAO7gux+jUjA2ny7JaYRbS8QsFdkYqXJrNqvMmIV9a377E4i3UFxneMisfkgtNECyiAFGUzJaJlNoHhz+cvifr7EpcdD4UVcTcNbMc+naGjRhsY65uNPK64LBIuqszGS00dEV/nFdWFUYMJknnznkKnDT85fR53qGC8oSs8j7UYeG6ppx/40an1+H+HjuMnMYoOtfrTweNTfnbz4qoJwV1qxdDJLuNmjKHEZUeJyz7+sz6jgrEmifTZ/PrSavz+QAv+dmRq2GuIxyrhxYtXAAC2d/ZzhzOribTtec4JjWCZUswffT+Roa9f0xpsGq9vLa/BwzuOotek/SdeWjchY/wF1CH9Y6/9osp8nFWag01tPQgoCqo9Tl3zFOFtMdvkuvbFuR6IjGFH5wCaB6cG/4U71DeIjuH4x66Thb9suySiz+tH65B6eAAQDMxQ+2ydkp+J88tzMSorqBo7/wH4Qp6jUZv3CQ+IMjIosNhp0xjclZiifx6SEAywXJibgYW5GRGX+VBNoWpwlzL2Z/Jb3jw4iubB2PtNtPOldSU5+P3+FrQNe6M+9ujACI5GCMc0wtNH2ib8/wNVhci1A7VZLu5grMkkpu2d1hOcPBKQ8c239kNWFMhKcGxUODbHMhnPXJnAtH1e1IKF+8YDOow5sXSPzY385Iz5+NHWI/jLoanjw3gYGdoFBOdYPjCrEL/c0xx1mcuqiyb8X60/5RHvqZFfltE1Gv1YMxI27knEPOP65k68L0I4Xrqbm+3Cnm7t5/eOSXOEWj6zjHP/YgCybRJkBRjyB7gCmWM1Qy1MLsMiYnl+JlwWEQFFGe/TukZ92KwS0hd+Hp6COf/jeM6rr60rRY7dit/uO4bWoVHYRQHL8jzY0Br7uGy2SJ9zrR/9a2pLkGO3GtSi1Mc4j6da+9NP/XcnLp9ViG8sqwYAWAUBwwk+F400lrugIi/qjTtCblpUhTvfOzTl5zaB4fMLJn4nFG8YWXyxX0HZtqnRRmaEj4fOWYpdNpxWlIWNx3umLMMQnBMlxCgU3EUIIYQQQggx3baOPnztzX3o0fBl9kfnFOOGhZUpnc5PCCGEEELIdHFOWS6W5Xvwo61H8G+NdxVvGhjBF17djYsr83HDwkpk2Yy7oyYhhBBCCCFk+pBlGXv27MHOnTtx4MABtLa2or29HcPDwxgZGUEgoDGpQKPKyko88cQTpj4HSY5XX3015u8vuugiQ59v1apVyM/PR3t7e8Tfb9y4EbIsGxoWRggvkQUvQlcrSPMrCj43vwJP7I0e6hT9OdS/v2VxfMf7p4OteKmpI1hEgmCxqccq4afrFmhuS0ClUBWYeAF/JFzBXXF+pc0QLH4RxopyRRYMZHrsjPnjy6gVx0QqUFHiKNSNRkt4x+QigEW5GVgUpYB1MjMu1Dfa5NeXjF7/o7Ul+Ghtie7HxxOYZSQfx2e10GHF7Ezn2GeE4djgCA70DkVdfiQgY0GOGy9fegrcFvXL5fUU8mqh1h9JOvZ5gTF895Q5+HBNETa0dEFRgCV5HpxalDXl813giFxgbEQ7olmc61EtLOIx4g+eJ/D06VaN4y+vzmqllqERXPbPzfCPBeX5FQXL8jz44Zo6rscLjAEcryceWoIWzRAMi4i8P8UzTuB+fo3LJzoYJpZQW4wsjM2wirBLIn50aj0e39WIfzZ2IDA2xvrI7CJ8oq406mOTXaBb6LSNh8ioEQUW1xiCZ2xkZMChWqhjJKHj4JSfw9jj2OQeRC0AJtSm2R4nDvZFPz4nkk9nOKOaSLtARYYDszJiBxqF7ztGHm8jMXsszQB8bn45qjwnQ4LU+nZFUXSNl0PjgEQ5qzQH55Tl4pEdR/HU4Tb1BySYWjhDpOW1nvcNhm1zhyTirNJcTY+P1Raz9Xl96Bn1jZ1bA++ryMf7K/OxtaMPN22MHQx9yxv7TGmTwBj29wxCYMAsjxNtw6NhgTuxiYL6+3deeS4unTW12FxtqBkr0E3LXIuR/RmLcoyLJtKyiRhnRsKzHZbmeWAVGLwmJfj6o7zpRU5bUoNYJzNiKJVlk9DCGYAH6BsjeWVlQnjWZ+aVoRCRz6t5tm+0MVwkAVnBeyqBOiFGnVaGb0+ec28j5NutaB+JHigXi6wA76vIw58OtE44boVUuO04pWDiDUiNCGCJd4xlE2OHxw/7w4Nm4noqbloDPtPBdXPLdd0QwiGd/CyPBAIY1jAO5d2MHSNevPHBNePPse5vb3OsO/raC50TA5sEBN9TaezceHamE3ecMntKKFnniBcXPf9ezOcNP7bFG2Bvpsk3NImEMYZLqwpwaVXB+M/+3dShKbhLAHBKQSbeOtGrp5mR1xlhs/KOmd0WAdfWluLqGPM5szIcONJvbHBisgmMRR3zhHvjeA8W5AS/i+Lde8PnPSSBAYk9FY34uhbmxP4+7azSHFxcVQCfrOCXe5vRPhbUOifTiesXVmL+pMerze2oiTWM5Z2Xj3SDcN7Afi3Cp/3/b+Uc3Lxx74SbWdkEhi8urMSaomzDn5vMXBTcRQghhBBCCDHVi43tuOu9Q1x3Awi5fkFFzAkkQgghhBBCiPGybRbctaoW55R14odbjqA7xh3eInnuaDtebe3G9QsqcElVAYXwEkIIIYQQQjA0NIS//vWvePrpp7Fhwwb09fEVGxhNURTU19cn5bmJufx+P955552ovy8tLcWsWbMMfU5BELBmzRr8/e9/j/j73t5e7Ny5E4sWLTL0eQnhIY1dGC0KDHKM72f1hAScfA71OZ94ygHbhr1oG55YtJUdJShebfpJLbgKALwqBf1WjuolPfNgczKdeHzdAoiMr7BUVCkviHTBvVo5mp5r4S0aQnF6NM4vhkuH4K7jQ6NoH/ZCYMGihAyruZdkv9zcGQx4Q7AInY2FvDHGYBMELM33aF5nYkox1UW6m/xkpxZlj9/xHgCePdKG728+HHX5EX8A/d4ABAb0en2QmACXJXqB5E2Lq3D/tgZN7VazsiATTkmEJDDMz3bHXFZPEEzoEQtyMsYLkeKl5TOuJttmzGfiV3uP4X/nV3AVZfH02eH0hjWNBhS0TioUH9JQ0PnEWQvxsZe363puXnYpdkGw2WIVTiaiMFjrUCeVgrtCxWpGfs/mtojo9fowGpDxmXnluLauFDIUuCUJdkmAX1agQI7YB5j5fd9tS6tRl+3C3ZsPY2/PYNTleAv4BBbfGELtoSLTHoATi56CSZExfKimCB+YVQBJYJDG2iQwhutf2413DCoiDn+dI/4A2kdij+tCyy8v8KRMcJfecMZYXJKIM0pyIv5OLSgsvIiV55yKV6Q1mVH0Gu4Dswrwifqyic+p8pQBJThuZdA2BjXjfYxFEhjsooiVBZmpGdyl8a1lTH1/c0si1hRlIcMiwW0VMVdl3KpXIgJI7tvagPu2Npj/RBo8f7Qdzx8Nhv+vv+QUTX2/OHbOF0u0j4ha8E6seQi1fSb8/E1vf3NaWNhwMMycoS7TBUng7ydS6Z4JPNvBLon43PwK/HjHUVPaEGuuz6SsMF2MmO9ZnOvB7u7oY0czxNqGPKHJocB+HjaJf+c2461NVHCX3tAuINjGcrcD31s1B9999yC6R08G/Za57PjRqfVwmnBOHO/+61B5b0cCASiKAmbweUcs0+36zkuq8rFcxxwpADjCgtV+ubsZv9nfwv1Y/q14ckmegKYSpy3mfOYZJTl4bFfT+P+DN0IBfAEFgIItHf1oGRxFTebEkGGeudjwY1sqB7zp7bK0no8LjOGmxVW4eePeKXOCekUOIVV/3HVzy3BNXalqcOTFVQV42KRxR7LwDj3Dvxvk7efC5zKNPGfnFelzmWO34LJZBfjbkRNTficxho/MLgYAXF5diPdX5qNteBQMDKUuW8TxfrzBXQqAj63fBokxiALDfWvqkWMPfn/Ls53PLctFbZZrys+NOhZdWVOEJXkeCAyoC3set0XCT9fNx5aOPhzoHYJFYFhXkoNcuzXG2gjRjoK7CCGEEEIIIaZQFAU/39OMX+5p5n6MyIBvLq/B+ysL1BcmhBBCCCGEmOKs0lwsy/Pgwe1H8UJju6bH9nn9+P7mw/hHwwl8bWl1xC/ZCCGEEEIIIdNfR0cH7rnnHjz++OMYHAwWUPCEpxCi1c6dO8f3sUjWrFljyvOeeuqpUYO7AGDTpk0U3EWSIlRAITEGX4zSLb9KUXns5zAnyCqWaBeTq7UlVgHrxtZuyIqCN473xFyHWvEDoKUw5yQZ2i7+V1s00iZSuwif9+7tWtoR7qEdR/HR2hLNzwEkpzBCq9/tb8Hvxgq4VhZk4uHT58EuChgxKfzltrf2R/1djs2Cf168QvM6U2V45tWxzdQKY4cDMt73/Lvj/69w2wEEP6+iECyADBXCi4zBJysQWfR+Q487TpnNXfwh6ag6N+NTYuRnr8LtwJrCLLzZ1mPI+niKh20at+NoHMfDyXiKHkNyHfxFQTk2C3LsFhzs1RaEY0aRshaxNgdPYGW8tJ5/hgKQeALizCaNbR8jsyjckoS/HmrDz3Y3RV2m0m3HXy5YOuXnZoZpzslyoT7bjbtX1+LLG/eioX844nISZxviDdZSGxtZDR6f6NnfRBY8ZkQcoxq4/4Z/Tjdx9OPK2LnHJ+vL8GpLt2GFzPFQC9LS42O1JVhdmBXxd2rvZ/gx1tDgrgir4v3M6DXgmxpWqda3h/plgTFNgSAjAfVgTI9FgscqjvcBR6L0JTxCAYa8x6oHT6uHQxIhKwpkJXgOZuE4h+Qx4PNDVsY+X0rwHFLLDZQBjAf7xTIcCGBzRx8sY8fCV1u68cs9zZAYw/wcN762tDrm43lNs1wQXRjTFqDEc1yLdt6vOh8QY73qcy1hoQY63tjTi7Nx36nRb7KRZ7eoBkYCEwPOmwdGcNtb++MKqo8H73b46JxiiIzht/uPoYPjNWoR6zgUb0iDkYwIlywfO79PpFjHLruofu4lcATxja9Pw3mtke9s14gPChS0DekP1EqUN9t6sL65A+eW5eFvFy7Df451YdDnR4HDhrUl2aacw8zOdMITZ2i/Q2WMEFCCx3qryBISeGkTWFrcPIFXnt2CGxdW6Q6fc4TNo2hdB+9mDCgKVj31Jvd6b1xUGXO/4+nfw/el5oER7OzqR/PgiOrjwvusRMzj6KX3/dY6B+xXFFR7nPjduYvwu/0tONI3DJ8sY1l+pu5wrEg9As9n8tKqAq7vrS4sz8OfDrRwjavShQC+fssWdmzm3X3Dh5Fmn1NHEu1c75bFs+CTFfzzaPv4zXqybRZ8dcksLM07GVRoFQWUux0xn8OI7z7C56iVsJFIsdMWs2/JtlnwlSWRb7ZmVDjggC+APq8fksCwvbMf/b7AeIAXYwzL8jOxLD/TmCcjJAIK7iKEEEIIIYQYbsgfwPfeO4T1zZ3cj3FbRHx/VS1WRbmwgRBCCCGEEJI4mTYLvnPKbFxQkYcfbj6MFo0XV+/oGsAn/rMdV9YU4zPzymPe+YsQQgghhBAyvTzxxBP4yle+gp6engnF0sm8qJdCw6avXbt2xfy9WeFZauvdvXu3Kc9LiJrQBeuSwIAY9c3+OLpFvuAu/euPJFoBit4C1oCs4Ktv7uN6bq7gLh2vV2tBSU2mE+0jvVF/n2mbejmwWr2qnvcpUYFa6VY0Fmrt2uJsTddJGEVvYUOqjJB4gkuUSa3lKYwN1zo0qhp0cEV1IZ463KZpvZPduqwaF1fmQ1YAi4bPi57PlhkfEyM/4xdW5uEjc4o1FSTGwlOEb9UQlDHg86NpQL1QkZeWAB6Lhs380TnFOLs0Fx98aYumx8zOdPI/iQli7f9GBlJFozWu569jgVUBRYEvIGM0IGNUlnF8aBR/P3ICnSM+OC0izi7NQfPACB7dFT0AK16SxtAYHm6rqDr2iBaiYOahP9TnlLjs+M05i/D80Xbs6R5An9cPd9h3i7wBDyKLr/BcbRsZfdz8w4FWzY+JtV8Y2b7wsQVPuGSo+DPbZsEjp8/DT3c3Yn1Tp+bPopG8JgR3xZpfUhtnhPeLZhcBmx/c5Z/yM7XxaOjcTGtQKk8o7qfmluGqOcXj/7/wuXfQPTq1jTxCfQhvXzI/JyPuEI9oLnr+PYzGGQosMPV+PKAAnVGK+Y/0D+ON4z0IKApkRUFAAUpcNvzqrIXa22Jg7GyePVio/l57H/5y6DjXY66aXQxhbP8LKAp6Rn34d4LP3QTGNAUoSUI8wV1qbYn+O7Xjbvi4XM9xV22fLHTauAImwreNX1awryf6zR3MxnsexRjD/8wpxhU1hfjD/hZDx5TrmzuxpvAELq6aevP0VDn3B4wZW2bZLPGvRKMhf/SJVp65Q5Ex7jGtTUrEGdNU4eHn6eDuzYdxblke7JKIiyrzTX++iysLJgQ76cEzlzUcCMAqCobfGCOSy6oLExIQlghWgeGOU+Ygwyqhz6tvHGgP++xp7TdZHOOc+0+th0MSwBiDgODxjY3daKDUFTuokCevMvxYvbmjD9977xBXu8LPA1N5rl7vMU5rqKVzbP9wWyR8bn7F+M8P9Q7pD+6KsF15NjVvy/McVvzotLm4/e0DUYPS0w1jQKnLDqckxjw2n1+eO/5v3vOQ8DmhZISdBRQFiqJMmfexigJuXzEbn6ovQ0P/MAQGrMjP1DQPHmJ0mGt437As34N32qN/h3nbsmpkRxnDGdXHvNDYPuFm5R+bUzwe3EVIIlBwFyGEEEIIIcRQjf3D+PqmfTjcxz+xU+K04Uen1aPak9yLxgghhBBCCCETrS7Mwh/OW4yf727CHw+0arq4OqAAfzzYivXNHbhpcRXOKc1N6btvEUIIIYQQQuLj9/vxuc99Dk888cR4IePkc4BEB2jROcj0pxbcNW/ePFOed9asWXA6nRgaGor4+z179pjyvGTmurKmiKsYdUJwVww/3HIY/2jQF07DU2RmdP8brQBFrSkHeofwuQ078dDaeROK6LQUPkW7kHxCO3QU5vAU1YSr8TixqS36Re+RigSXjd1tWx4rslYQuvg/+HeZO3bhTySJKtLhLWZMFaF96lP1ZdjY2o3hOAvstUr3MY+eQAKthaxqYRoAsLIgE5fNKsSfDrbi+aPtqstHoih8ASeT6QnYiKcoMJo5mS6cV5YLiyBAEhgsAsOLjR0YjFEIFY1Nx3aIhecGIRYNz9kxbGwBlpZARkXDeycypjns8dNzy9CVhAKzcLFeIWPBvTeVAgRCRMYgSiLsYwXZBQ4bFuV6pixnFQU8uF1fYaYaaWzjGXkodEmSavhdtGO8mQXj4WNWmyjgg9WFAAqnLCdy7jMC0x9mCQC9KgXePAFCWty8uAr3b2swbH1GfqbC33eeIMqqDMf4v8vcdty5shbfWOrH2X9/J/bzAPj1OYvGi0c/8Z8d+ho8yQ83H8bG492GrCtcrP7Yp7J/WAQBAz4/ukZ86PP68ZGaorFQJWFs32XoHvXBpyiQGEONx4lerw+/2ntMczvNHksP+KaOCz5ZXxZzf75vWwN8sjK2b/HvrcMB7WMQnrBPNbxb0MxNbcSqGeILNBwNyGiddJM3l85AmXgPJzcsqECuwwqnKOLU4ixYBAG7uge4H3/9wooJ4/RjAyOJD+6CtnBRiTHV41q0IDy1ovxYx/cFOW7csrhqPGhIGvs7FJAZflzQ09+ojS0KHTbshPp7G75vJypkPBqtnzOLICDfYTO8HdHOrY0OaYiHEfNKNUmoN7nr3UModtkgIBiowxDclxfnZcDOGfrPO662GnwuPV15Ezz35jcgFNbOcQwd8cvItCYm8PriyoKYwTfxyrZJePC0uZAEBokF55mksePJto4+fPPtA4Y8z+xMJ25cWIlTCjIB6P8u+sSQF883noBfVjSHLDMWPG/imX+cbHmBR/MNCkJ45ovC+x6e8+UfrK6FX1ZQ7Dx5nErlmWe9xzitj4t27Mm2WfClhZUYCYXAj/155oj692+Rhi883zVpaXtdlgt/PG8xtnT04Sc7GmOOnyvcdjQaeJMDM4gs2I8sy/Pg9Sjn/MVO28T9l3MHToXxUmBsPiCSMrdd13d64WSDZ2PDx+AfnVOM9c0dOBShlvjjtSU4oyQn6nrMmnvU8l0BIUag4C5CCCGEEEKIYTa0dOG77xzUdMHeotwM3LOmjuuCZ0IIIYQQQkjiOSQRX1pUhfPL8/D9zYc136WyfcSHb751AH8vOIGvLJmFirALtwkhhBBCCCHTgyzLuOqqq/D0009PuRNo+AXSvEFe0cIneC62jvTYdA+zINHt378/5u+rq6tNeV5BEFBVVYXdu3dH/P3Ro0cxPDwMh4POgYkxPjCrAH9vOKEaFhAqmOQpgtvdrW2OJ4QnXMboS6EH/QEc7huaciMonou5t3T0T/mZlkCHQo5CSj2HGa3F5GqvNdLq1pXmYF1p9Ivh9dBSYOnUWdAN6AsxSqbQdqnJdOLeU+vxwLYj4wUKNlHQFUyl5/m1SkSoar7dApsooHlwNOoyeoraHDruKK9GZAy1WS7cvmI23m7rQbuO4CO9BT7JLjQPOacsF+eU5U742dsnejE4oL2Q02rwe3RpVQH+duRE1N8XOa2atqPRm1xLvx5Q+PsEUWAocdnxj4uWwS8r2NTWix9uOazalgxrcstEAkrsQhWBRQ+aSAdHNNzQUqtQqIiR4XwOSYBfpX+KdiwxM7STKZgyhxCNyBjXa0hUyKgRVhVkGbtCAz9T4X0kT3DX3GzXlJ+FAvBisQgMdVlTHxuvTW09aBv26npsgcOK91fmjwdyMBYsnhYYsDhCkF+I2nhGEhheOdaFO987FHUZuyhgw2Wrxv/fO6oe3FUQ4XzF7LF0pOCuj8wuxt8bTuBgb+SAcyAYjqf1+OuS1I9nObaJy/gN+Czw9iVmBKmGGDFWCYXCGUnv8TveYuzaLBdWFmZNXKeG7T/5WGNmMGWsNmg5XxAZ45gLiLw+teeJNS9S7XFy34hbz/6l9phCp5VrPeFj/2Qe/0XGdH3/YEbIYrT9JRWCKEKMeK8qM+wocdrQMhR9nsFoLUOjEZ/PIQkocqrPHWoZp/LsTx+dU8y1LnLSd1bMxnffPaj78VoDtSNxcIyPQ/P/Rh2npCjnUYtyMzAn04mdXfwhmLx+sLoWTkmEJDDUZ7un/P75oyewPs7wzE/PLcWlVYWQFQUlrolBNnrHKm3Do/j57mZdj11dmIW32nrgk7XPn8XTL/LsluGHG7X9SmQMZ5XmRvx5qvrEf3bgvx9YCSfH5yuc1v1k1aRxaEiO3YKP1ZZM+fmcTCfu2Xok5jo9EebueDa11u5IYAzL8zPx7RU1uPbl7RiNcO7qlESsKcpC40H1GwiF++ayaizJ80y4aYwMBbICXPPydm0N5RDaPjcvrsL2rn70TQpgFxnw7RU1E46lvOcM/2rqhEU4iNtXzDasvVr1jPrhkEQILDi3bvRnz2fwZGx4++ySiIdPn4ef7W7CC0fb4ZUVlLnsuHJ2Ea6sKeJej5F45rMIMRIFdxFCCCGEEELiFlAU/GxXE369T9vdvS4sz8Nty2si3v2XEEIIIYQQklrqs9341VkL8aeDrfjZ7ibNxWZvnejFx9ZvwzV1pbimrpTOAwghhBBCCJlGvv71r+Opp54CCytSCQVB8IZ1qS3DIhTARFouEQEUJHU0NTVF/V1eXh5cLuMLgEMqKiqiBncpioJjx45h9uzkXdxLppfZmS7838o5+OZb+2MWhIcKtM0MgOEpLDSjAPbRnY2479T6Sc/D99jJF30zFiyv5jliFDjUC0b1FGtrLfZS26b7egbxyZe3w2OTYBMFWAUBy/MzcXl1oea2xdOOcGdHKPLhZUYB62SVbjtOKcjE0f5hvNPeF3PZFfkevBtjmfDmnlKQid+duxiH+oYQkBX0ev340ut7jGp2RKlUfiAAYwVzCtYW5+Cjc4rx9OE2NPQPwyEJcIhi8G9JDP4RBQgMeKWlK+Z6J39keMJANLc9bP/WE9oFAD/d3YTf7D+GS6oKcN3ccu7HpWIRSdPAMO545yBO6Ag+sQjqIQNa1WW54LaIEcNCAGClxgAc40Ms+Pt1r4aQL5ExSAIbD2apzFAvTg8oQIbV+M+IFqFwgK4RH9pHvBDZyWJ1kTHwH4lTU7/Pr76QTqFxnJHdgsCYarhctGOvmb3T/6zfBiA4hpUEhsW5Gfjx6fMiLisJDH6VAkOBI+AklVR5HPj8/Ao8tqvRkPVZtKTTRiGyYKCAVTj5Pa5FUP9O1x9h/+L5Jtis9yuez88XF1Tgwop8zY/zybG/O+c5No4EZGxu74XAGAodNhS7bLi4Mh/PHW2P+piiCAE3Zo+lB6L0gWpzcoxpf89HAurhB9KkffS5i5YjoCgIKApkRYFfVnC4bwg3bdzL/by8zTR3UxvxmTa+X9QbABRvKyK9Di3bf3KflIzht8Aih25HIwrqQT9Rg7tU1m1U6JyeQ4/atucJQZq8nmQGIesN8zEjZDHaZlDbH2oznSh22bChpdvwNk1mRJ/EGMO6khz88WCrAS2Ksy1gXNe/BYMU+ddrF4WYN3AIhevl2y265y/SndbAPJ453mi+vKgS55drHx9OVuiw4qZFlbCH5sZEETZJgEMUxsfgoXFL27AxwXSfqC/FXw62oi9sLmV+jhv3rakDY8yU4+GcTBfK3Paov39w+9EpYTtaeSyWqMcLj1XEb85ZBHlsPHj9a7sx7Fe/zjWeeaIP1RRhW0cf+qPMWcUSzzGZ5xgU3u/qDQQ14pAlMuDuVXVwW0W4LRLckgi3RcT5z70b97r1NE/LmHZpXgauqSvVtH6ePqrUNfVzwnOc1Dv2mOVx4psrZuP/3jk4IdDPKjD83ymzcXRgRPM6C522qDdyzrRK6I3zsz5ZKISr1G3H42fMxy/2NGFDSxcUBVicl4Hr5pZjeX7mxMdo2EH2dhsfZqjF+194b/zfP103H0vyooeH63Gk39gbEUweg+farbh1WQ2+sbQaQ34ZTkng+iyYNZRPlZulkJmDgrsIIYQQQgghcekZ9eHbbx/A2yd6NT3us/PK8an6UrrLPSGEEEIIIWlEEhg+XluCs0pycO/WI3izrUfT472ygl/sacaLje24efEsnFacbU5DCSGEEEIIIQnz8ssv4/77758S2AVgys/mz5+PhQsXorAwGCLy0EMPgTEGRVEm/H377bdDURT09PSgu7sb3d3d2LlzJxoaGiasO9Jj161bh3Xr1k1pZ15enlmbgCTJwMAAenp6ov6+rKzM1OdXW39zczMFdxFDrSvJwWmF2XilNXq4TahA24zivxCedZvx7JFCbXiLaSIVxgmMcRU48BR16bn2W3twl/oyu3sGJ/zfLgm4HMYGd2nJ4o+n2EkA8MoHVuKVY124492DutcTy/ycDHx1aTU6R7y46Pn3oi4nMoYMS+zLrScX1AiMYU5mMDxyTwKKPfQWvpoRmWMXBTx14dIJP/v8goqYj9Gzjewm3BjCiCCnXq8fvV6gd1RbUdLkwAkeZl9uM+SXsbNL3/5r1fF61EiCgG8vr8HXN+2f8rsipxWfm88flGYGLf36CEfB6OR1C8BYUa36Gy8rCiyCkNRorFdbunBBRT5ebu7AfdsaktSK9GQZe4+N/oyr7aPR+kCjQ+4i8SsK/AElZkAtTzuCwXBGtsx819aVoNRlwx8OtOBA71DMbfD+ythhAZlWS9ztee6iFcixT1wPT6FjpHbzXBdq1rWj8axX7yNjvXdA8NjI06zPvxoMCL+6tgTXL6xUDfmJdFww83wQQNQQTZVsPV0hUv1e9fCDyat0WaaGVw75tYUo8PZ9Zm5qI2qMQ4GZRmob9uLbb+/HnStrNT3OY5Vw67JqCAC2dvbj+RiBdJFEehm8+xPD1H4hGUGPDAxX15bg7RO9qsHFQHAuQ20/iPa5UwujMOp4qScoUG3bF3KG64QHtiRivGI0M8KbIx3/WgZH0KkS7FSb5cJXl8zCumffNrxNkxn1XvEGd4ksOMckMAYZ6sdrrRgDLp9ViL8eOh4zsEeAtmNgaDtJjI2H+EmhvxlgHZsTWZznwfrmzvheRASFdivaRrSHeCeS1j1Jb9ANAJS5HVPGyHpk2Sy4ak4J/nOsE4oCKFDgDcjwywoG/QEM+AL49tsH4n6ecMvyPbhqTjFea+3GsF/GLI8DS3IzxvsLM46HvV4fyhA9uMuIGaNYXagkCKjLOnlTn0KHDQ0qYTUC9Ae8lLvtmJ/thk0UAWgP0ovnmMwTPhX+stSeSwHGv28PZ0TfXeS0YV1pzpSfi5zf08SiZz8uctqwtih7POxXVoAAFAz5AmgZHIVPllHqsuPCijxcXl2o+SbFPO9rpO3K80ri2VoXlOdhSW4GnjnShj6vH9k2Cz5YXYhcuxUN+45pXl+sz43ZmUk1mU7cvbpOdTktu0cq1bea0RKedb6vIg+nFmVjb/cAfn8g9lgrWt/AGIt4Xq51PfHS850LIfGg4C5CCCGEEEKIbnu6B3Drpv1oHeK/o4NVYPj2itk4v5wKZAghhBBCCElXpW47HjitHv9t6cL92xrQPqztYp3mwVHc/MZenF6cjZsWVcW8yxohhBBCCCEkdcmyjC9/+csTwrOAiYFdFosFN910Ez7/+c+jqqpq/LFHjx7FQw89FHG93/nOdyL+vLW1FRs3bsRvfvMbvPDCC5Blefy5Qs//6quvYtmyZfjBD34ASaJLo6azlpaWmL83O6xNbf3Hjmm/wJkQANjV1Y8tHf1QFAUygn2prAAyFBzpH4r52PGiLhMvRuYpODCj4McS4TXx3I0+FHQymcjUC8sBIJ+jYFTfHd21La9nm5oRnKPlAvp49gPGGBySOF6IaIZQYVOu3YpqjwOH+yIXcM3PcasWd8QqQklEAXHz4Iiux5kR6KOncFvPNjIluMvAaqKuES+O9A1NKK4tcFijFv/oKQ40e8/iKf6LJryY7TPzyvDz3c1GNAlnlubi/lPr8cu9zdjfMwgBwHnlefhUfRly7XwF/iH+OF7fZbMKUOayT3h/M2385x4jAf7grnu3HsG9W48ACL7nPLtKqOBRZCyu1xmP0bHX6E9WcpjJ9Lysry+txoPbjmBUZRAQGscJBn/K1QphowX9mF1oOaENMZ6Mp58Ux4IN0gljDOeV5+G88jx85Y29eK21O+qyAZV9x4hXPhIIANAT3KUtkDBEURQ0D4wgoCiaC6FjiWdNegt11fpbSdAX2KEndM/sz8FIQIZflqecdyoqbRV0hOv1+9TDUHneb97xZueIF7l2K3dxt9F9dTgj1qxnm/N4vbVH82MckojLZgWDpYtdds3BXZG2Nff7FGG5bJsFfzpv8XignMCA54+24xd7jBm3RmvHFTVFsEsCV3CXJAiq8x7RxuyP72qK+bh2lSAnXnrO5dQ+N4VhgVyxZFhPjr/1hq0kkxlzNnrXKCuJC7Mzqk9amJvBtdy/L1k5HhzxpwOteGB7g6bnkVTOqQQW3GfnZLmwub0vxnLaxgH/vvQUrs+XWbt+24gX9VlO7O2JPRetV32WC4VOKza0RB/7Gi2eOQ6jN/N33j4Ar8EhctE09o+gxGnH+eV5kceNJnz2+7yxx29G9Ddaxux3rZqDj6/fHnMZSWC6jiVOScS9a+pgFQXYJX298P87dBx+WUF1phOrC7M0PZZnNwp/j3m2fUABpEmLGbGbRBvTCJzf08Sipy88rTjb1JsO6w2y5vlMxtOfAcHj1ufmT73Rhp6z+ljtNWNs4dUx96DlnC205NqibLx+PHHHqEjM2H4Ojn5qZUEWzi/PU537DAWjGsGscagZQbmExEJXpxFCCCGEEEI0UxQFfztyAvdvO6Jp0jjbZsG9a+q4vywhhBBCCCGEpC7GGM4uzcWqgiz8ck8T/nSwVfOX6K+1duOtth58rLYEn6grhV3iv8sOIYQQQgghJPmeeuop7Ny5c0poV+jfNTU1eO6551BXp363Ux7FxcX40Ic+hA996EM4fPgw7r77bvzyl7+cEN4lyzIeeOABbNu2Dc888wzcbrchz01ST3d37AtmzQ7uys/Pj/l7tfYREs277X14dGejrseGAheiBS8YgScUzIynj1Q4E0+IWPDnsSezPBYRDo75Kj3F/VrvIq/nrvNGhh+EaNm3jLgm3owi8xA57P3/xtJqfOHV3VOKMW2igK8umYVfqhRvxyosSOkCYhNqBPUUWfBsoslN1VsMx9MOtdAJHuuPdWH9sYnF+BsvXxX1M2TRsd2W5Xl0tY2XUcFdamEDArQVhhlVWOfXcL3TotwMzM9241DfEA70DmJHZz8O9I4FszE2FvgAvN3Wi9uW16iub1RDcFc4BXzFjKFjhqB+qDPVgd5BvN6qHkqRjvR8POZlu/DoGfPw6Vd2xVwu1L0ZffhQ2+ejFVv+f/bOOzyO6tz/3zOzfSWteu+SLcu9YhvTIYQWCBACKSQkQAghgfSQBNJzf3BDbiA3gZtCeiONNEgooYcO7r1ItlUsq/eyuzO/P1Yrr6TdOWfa7kp+P8/jx5J25szZmTOnzbyf8+1TFyGsAv880onvbj9sbaYE88D7bGobKXnSCTvg9RmCSQju7xoLotQ/fcElJ+O3uUYlgaNhBVc+thkAsFFnkLoWRuVbgPF7jycvc0pMl1Almg9D4q4k3AZDwTCy3dO/Ea+NkpiYfDkWnvgBELveon3yvzQdx9X1xcL9BDu7+lYkLTN7hBxmxzghI7K/yUN++NkdGAkpcEgM3YILzMUrdw6JoSbLh5ahMdzy/E5IYBgJhfXni8MnV1RjY1E2FPXENRW9DyLXT3ubRH12PaJYMxgpC7xdigXFXbGYKecfXVqJBQE/3LIEl8zgkiW4JQlXPb7FcJoiVGR4cGNjOZyyBJckwSVFju2SGJyyhM+/vA8FHifcsgTGGPrHQxjgyAzj9YNErpECNWl9KKuO45AYajK9aBqML2GPEits0FNc/Q4ZF1cVoGlwFK8d70+4XVQGwhs/671VRMu0ndftI0sr8aVXD6BPoC3WQ5ZTxjfWL0DXaBAvtPcZmvME9LeTZsRAVrf3ZiVFerhr8yEAwD8vXotcj3PW53b0Zfo5ZcaKvqqefrXI/RSd29HLx5ZVoibLBwDwGpyL//bWZgDApdWFusVdIvdPbD0hC9w5kfps+nZW1DX5ccrfibTN3RR6xxjJQKScx9tG5FTbVYW8odHeJUKrn2HHkixG5kX0FN9oWV+Zn5lycZcdTXxDth8+h4SRUOKxwqaSbAB8ebyVwnC75jBI3EUkGxJ3EQRBEARBEAShi/6JIP7rjUNCq/3EsjQ3A/+1fqHwSjgEQRAEQRAEQcwN/E4Zty6vxkVVBfjvzU3Y2j2oa/8JRcVP97Ti0cOduG15Nc4pyzX1MjVBEARBEARBEMnjgQcemPZ7VNrFGMOCBQvw9NNPo6SkxJZj19bW4kc/+hGuuOIKXH/99Th27BgYY1N5eOqpp3Deeefh6aefhtfrtSUPRGrp6+vT/Dwry16ZRWam9kI1vPwRRCLMvMx+fCwStHpgYMSazMRBSJZlQ6BEPNmNSMBIopfHRfYt9Io92zby7rfeoDTFQECCHcIokZfxZcbwgzOXINcdPxhHD3YGIB7oH8HP9rRCZpFzdUVtId7sHJy6f9YVBHDTkgoszPbjEyuqccPicihqJHgprKpQVEz+ryJH47vaKdKLcmNjuaH9VBvCfIwEuYlc55l59cj6F4E4pywXdQEfwsqJ6xeOuZ6FXhcAcIOhjWKl4K0uy4uABfeYFkb9MO9eUIJzyvKmfj+9JAeFXtfkvRO5h2J/bhoYxd8PH0+Y3nKbFgcs9Yu/v3RuWR6uWVCCH+86ileP96N3PH4Zqc4UG3fYLVKIXjsrgh+N0jw4ileO9+P1zoGUHD8dkRjDohx+eXZOSlKtbgOPc+QmQ6H45Tpa12S67A890qoLRepJibG5Le7i5J0nhjJDjtuJosm6eibFfhd+cvZSOCUJDonBKTE4JQlOKSIvdEgSvBYINY1KG+JhphtsNOh7gmNgcEqSrvIZ7VMZEYGIyJbNEhF3Te+L8PPKdAfkDgX5IiUhsZ/guf/hrqP44a6jQtsC9o5XrHhnQpbE6sUzSnKwPC8TIVXFju5BvHCsTztdk3nzOx3wyJKuPlG0VO/rG8GwTsGWVrmbUBQcGxETgBmh2OtG5Yw+ouh9IAu0a1bWnYnoGw/i2Mj4pFQqUv9HJFfGZn945Sfb5YCTAUEdX80tM1y7sBQyY/jDwWPCZeSy6kK8d2FpSt5RKsvw4IbFFQk/f+XKjdN+//72w/jFvjbNNOO2CQICTkVVkyJ9BKyVPNy8tBKffWlvws/L/G64YkQ6eurs9UUB3LK0Eh97YbfmdtEkeeNnKyWKYVVF/3gIiqpiXEO8YZYSnwe/O38lHjrQjp/uaRXaxy1LkBA5LwwMDCqCigq/04HKTA+W5WbiXQtKkOdxoSLDizvW1OE725qFRJ0z0XtKzcjJra4jzOTFKIluPdH74r0LSpDtdkIF8ODuFs02nHc9rTifetIQ2dLtkAzN4cbe20bmKmPRI5iPIlKWYlsBWYoIymR2Yvw882clzjySFaOLAwMjOO9vr86aG7SiL5OObh6RcWW8cizSu7KrDnnFiLhL476xY6xkpL9iZIx/eW0R/nG4E80cQaid2PKcVZKwtiCA59rjS8kW5/gRcEXG+TxBu5XPvazoJ+W6nVAn+x1BRUVIUZLybI4gYiFxF0EQBEEQBEEQwrzZ2Y8vv3aA+yLPTK6sLcInVlRPvVhEEARBEARBEMT8oz7gx/+duQSPHu7E/24/rHvFvY7RCXzhlX1YW5CFT62sQe3kamQEQRAEQRAEQaQnnZ2dePbZZ6deKo19uVSWZfz617+2TdoVy4UXXogtW7bg/PPPx7Zt26bJu1577TVce+21+OMf/2h7PojkMzCgLQHIyMiw9fi89Pv79b/gbITNmzeb2r+lpcWinBBWYeZl9uMj4xbmJD4iL1Db8S50vJWRhcRdCTb55yVr8MWX92uuml0wKfGxA95q1TMxckonwio6RsahqBHpkTIVFAO4ZIZSv0d3mqLlc5lFoh07A+EPDYzigZ1Hpv3tytoi/PScZWAM095vKPa5UQxji5TZIVCbiddhLjDMShLdc5f/883I55MBYg7GILHI70YC01xSJORGz55nleXhrRX53O26x4K688NDgnZ51vM+jcyAT6yosSBX2hgNnGseHMUtz+9CSFHjprEkNwM/OXvZ1O/HR8c1xV2r8u2RsXodMhbn+LGrd5i7bTS4nBewJBo8Nm6zuCt63q0MDtdLSFHnTHCUoqqYUBRMhFVMhBVMKArGwwp8DtnSBSoZEwuudEbH2JYdOcJLHX2an+/m3QtJCC7XajNFxTxzpdzFg9cW8OogEd5ZV4wCrwuFXheKvG4Uel0o8LqmSS1m4pFlLMm1R6IYi6XiLhN3kNGuG68/45CYrnHSj3a34O+Hj3OFQvH6F8mQrwzFEZ3yriCvPxQPESm1SIq2tYmqas8AGNa0A6KytNUFAbxrQWQed3fvEN7sGsCIhgzGYTJzy/MyURfwYWfPkPA+0bJjpC7UknvYJb4q8bmxIj8TRb7Z8wqi90FErKG9rVHZrh5eaO/F1984aFl6vO/PGEOe18UXqsV8d4ck4aPLqgAABwdG0DQwgpZh/hzZwYER3PzczsgzBfWErERRIwIxve892YmI8CpeWReZk1BU68VEibAykmRjUTYqMjw4OjQW9/P1hdnTj61ToHnHq/uxjbN4ZVQGIiKvFOHymiLuNsdHJvD2f70plJ4ZZMaQ43biw0sqMRIK46EDxzS3v2NNHV4/3j8pADohH4z+3D02gVK/Gwf6R9A0MAqJASV+N75xygK8drwfeR4n1hdl411PbBXKn4iULhYzohsry62q2qHR55OoDIr2kS6tKULVpIjyr00dmnVsP6futKJfpqfPnunkazQqM7yG5nBj3b0ekzJjI30Skdml2Gt/WkkOXrxig+7jWDFHLyLkNUo6Cry7x/gxl6E4cm6RYpiM/p8oWveN1dfFLUtYmO3XvZ+eWzu6bYbTgf85dRG+s60ZzyeQXNmNXcX6s6tqsbt3GzpnPAPxO2R8ee2Cqd95zzCtlLFaUVZ6xoP4x0Vrpj3XVVMgyiRObkjcRRAEQRAEQRAEl5Ci4se7j+Lne1qFJveiuCWG21fX4aKqAtvyRhAEQRAEQRBE+iAxhkuqC3F6SQ7u33kEf2lKHGyTiNc7B/DeJ7fiqroS3Li4HBkCL08QBEEQBEEQBJF8/vWvf0FV1SlJVuz/t9xyC9asWZO0vBQWFuLJJ5/E+vXr0dzcDABT+Xn44Yfx4IMP4vrrr09afojkMDysHVju89krhPb7tV8OHh1Nziq811xzjan9fT4f6uvrLcoNYQVm3nXWWumeh2hAokgAix2eIkcckYHIcRIFAnlkGb3j2nKeQkFxl5GXyl853o/+ieDU6tU8jLy3/rsD7fjdgfa4ny3Py8SPzlqqO81kL9WVBOfVNBwS0xRXGCEZ4hyjwYd2hC3E+76qqqLNpFhw5ldkjMEjSxjVUe+Jylw6dS5mJwIvkEU0OLA604uPLKnEusKAFdnSxGi5evFYn+bnMwUNhV43rm8sx4O7Z8tEy/0eXLuw1FA+RPjQ4gp84j97uPdCtOzwgihF24OxsH3BisCJfCa7Dp0GszaAyw4+/eIevNzRh2CCQLRLqwvxxTV1lh1PAsORIf4YIVofMKZfUGgn9urmIsQTtUYRqSflSTGAXazMt1depfX9Ab4YSoSPLquC2+K+jlWIBKp7BPNupvv1+NEudI5OIMftxNLcTJT4+QK/7d2DmkJgIHJ9ZZ0qJq60BvH7N8nof8YLvL9xcTmGg2GEp4TBKhSckAevyM/Cnw51WJ4XoXGhTZXDxodfwctXbLBFeGNFkhLEvnvsJo05GfjgonJ8b8eRhNvHG5/rZX1hABkOGa8cFxPfR8+HkbpwLKxgKBiCGi2biPzPwHRLtUWpzfLiq+sWxP1MtM/okPjt2jNtPViVnwWXzLA4JwMeG6TOE3GkEmYQuR3z3E5uHZjoyt1z6iI839aDT7+0l3ucHTrkcXays2cQz7f3TomO5EnpXvR3r0MSGs/GuzNF+lB2CeziYWV96ZIlfGZlDT75nz2zpH7VmV58eGnF1O+HB0fRx5kHjEWWGGSFn9do/5Av7or873fIGA4lHg8uyuELSZI1zHpg5xEUeF1QVGBzp/YiKkDkHPzraJfmNv9u7Un42XsXlupa5DPfKzanGiVsophbKZ8xkw8zJCo3ouUptn9Z7HMjrAJZLgcCLseM/51Ynqe96I0VZVhPTyTf68K6ggBe60zc56jK9BrqQx8ePDHGNzvOMtLHEZm7s6L8pvn0TloyolHXR4k3rS1yudJlngjQlihaXW5W52fpWvwiip5bIFYCXpbhwT2nLkLn6ARGQ2H8bG8rHjncqfv4RrFLSFfgdeHBs5fh1/vb8HxbZB5jdUEW3t9QhspJQSPAFyZbKc63ag5jZplLlpiWIKJQtAtBEARBEARBEJq0DY/hS6/ux3adD6dKfW7ctbEBDQaM5gRBEARBEARBzG0Cbic+v7oOl1QV4r83H8K+fv5KuLGE1Uhg4WNHu/DRpZW4qKogLVfGIgiCIAiCIIiTmVdeeWXq59iX3hhjuPXWW5Oen/z8fPz+97/Hxo0bEZ4MhI/Kuz73uc/hyiuvRHZ2dtLzRdhHKKQtGHI47H01zunUDgwJBsUDgQgiFqYzmDsWM+KuvokQvAISHJEXqI1+B4ZIQGE8gUY8kYHIfJHWNsdHtUVCRT5+kD5gXGbl1hFksDTXWlGEUSFPsl90T/acoB2SA1EhkxmM3vl2xObGu2ZWBCVmuWa36x6HPnHXL/e14uFDHRhXFIyFwhgPKxgLK3j4wtVT135v3zD+dUQ70NQIvLIlEuhy94aFOKM0N2n3hU0Og7jc2FgOv0PGb/e3oXMsCAbgLRV5uHlJJTLjXHur2Ficgy+trcdXXz+guV30PuadE9E6ZCxkrwIpGnifDHFLIiQwSwO47EBVkVDaBQATGvWLaiBMUmLA5q5B7naxQYgSM1+HWnUVkuFz0Ar4FCnPErO33GcLCleNcnltEdYXZcMpMTgkBqcUkXQ4Jn/P5Cx2lOfh5y+dA67Dior3LizFr/a1Jdzmo8uqhNIy01Y+1dqDpyalEl9eW48SP3/R2je7+DILlyRhdUEWfnHucjAA1/57m+E8xhLvuyaj/7m5awBrZ4hEL64q5O5nR9b+b+dRfOnV/ZAYA5sU+EmInBuJMVxSVYB31pdYf+BJbn95H969oAQr8rMsTdfM3AAAyAyT50P/uJkn8ZEtuI43LalE99gELnrkDaHtJUTmeY0Khs7922uz/lab5cWda+yR2WvJGkTPnyxw/ZoHR3Hbf3YDAP701lUoz7BB3GWxZUakrc73uoBe7UUbtEhGPWglu3uH8dM9rQk/D7gcuEagHotXXvb18eM/RifLq0eWTM0tpoL1Rdn45XnL8b3th9E0MIqQquKtFfm4pr4EAZcTNz6zA00DIxiMI5zUQp4UqGlxdlkuLqspAsDvs0evDU+mKCITTFb5fqKlOynHidI9pk+iLulsJ43OhQLWyDStyIcZErUnouOn2HL3/TOW2JIXPeidox7lCNQ9smTo3vp3azc+saIaAOB1mBN3Pd/eg5eO9WJVfpawiFNk7s6Kfhu9t6sfMdHt7AsoUrfZVY8szc3QLTXVum/0jGc+0FCGgWAIO3uGsKdvdh8w2+XA7atrdeUtisg59TtkXFiZj+I4zwQLJhf4Cdg4Rx0PO++6Ip8bn1xRg0+uqEm4Da9PYqUc26q0qK4iUg2JuwiCIAiCIAiCSMjjR7tw15uHNFf2iMfGomx89ZR64dWBCYIgCIIgCIKYnyzLy8RPz1mOPx48hh/uOqp7bNE7HsTX3ziIh5s68OmVNWjM0V6RjSAIgiAIgiCI5LFly5Zpv6uqCsYYzjzzTNTUJH7Jz07WrFmDm266Cd///venvbTd29uLH/7wh/jsZz+bknwR9sATY9kt7pJl7RfneWIxgkiEmfeTzYpARAQ4Ii9QG/0OKoCHL1iNfI8TYRUIKQpCqoqgosYVd4kEnSR6UTukKOga065HCidfyOdi8Pu6ZPFgnqqYla6tIFVBYnpJtnTGjuDHZHwH1eD1tKMUxBP1GA2uj+WcsrxZf/PIMgDx9nZ3gsDvibAC72RA3Le3NGFrN1+sYzUicqpSvyepwSeFXheuqS/BHw8eQ8jmOoMxhvcsLMXV9cUYDoXhkqSpa2I3F1UV4JtvHNT8jtH72KqApf/beUQ8gwaIZrMqw4u+nuSXZyAS2JzuwgQXpyMxriTuFzl1yDejFHrdQrLP2D5PJMjR3P1nVbVhRFamF60yI1KeRAQnWvDOdrz+qJU05mSYehZ6WU0Rfr2/PeHnlRkeQ2U3WYRVFaeX5CQUdzklhg1FgbifzcSqK9U9NoEtXQOTAqhIwG+Rz4U8z/Rxgkh/zyExZLocaJhs8wu8LnSO6hNUxCNesUxG//PHu1tw4+IK3fvZ0ZcZCysY0BCyDARDtp6TZ9p68JaK2X1Vs5jNcvRcC4m7Yn4eC4e5ZdOq86lnnMCYNeOKWBTVXJo+h4RF2RnwOiT4HPLUP69DQkVG4jG8qGzEIfHFQbHE9m1OK87BC8d6E257YWW+cLpBjT6REX5/8BgGg6FIm6tG2l5FVfGxZVVTAvVCr5hIPRHp3N7Fgy/LY6jJ4s8LxWsTRM5FVDpVlenF3jiyjHSnNsuH/9nUGPezwYmQbmkXEJnb4E3bxY4PefMy0WvDm8sUma8jKUUEvafBTH2vVxKmRcrEXQn+LirWsbIvZUUNrTc/PCmh1yEbmsOI3cPDeWbIY0JR8fH/7MHDF6xCqeCc2K/3J5YeR7GizqB6Rz8iz67i1QYip/rw4Kgt71HnewSfh8WgdS/qkca9vbZoSprVNDCCX+5rw6sdfZAYw8bibLy/oSyuVEsEkXMacDnwmVXaYrBk3wepnlblPQ+wcsEGq75rqs8ZQZC4iyAIgiAIgiCIWfSPB3HP1iY8flT/ShnXN5bj+sbylK7aSBAEQRAEQRBE+uCQGK5ZUIK3VOTh+zuO4JHDnbrT2NEzhA88tR2XVhfiI0srke0mSTBBEARBEARBpJqmpqa4QUZnnnmm6bQVRYFkMLjm9ttvxwMPPDAVKMEYg6qqeOCBB0jcNc8Ic1bI5om1zMJLnycWI4hE6F0tPha7xSqAWFCMmRfYt/cM4pyyPDgY4JC07zORwCJHgk26x4Jc/YSouMto8Jae8xTiyGIAIN/jxNqCACTGsKdvCIcGRhNuK5CcCaxLPNkv2tvxnkMyxDX2Xk99uByz+3BWBNjHS8OjQ36nxViMuMvKleJnHkOLK2qL8IeDxzS3Sfb9UJnpxSdWVCPTKeNHu1uE9zOjGXJIEgKu5AfZ88po9D4WCagXoZMjjjRLNBB4eX4mtqZK3IXkyxf1whNoTmjct1fXl+DJFvH36rJdDvidMkR0QrH1kGTe2yUciM0jGfHlWkF/IgGBMmO6AkNnkul0YCCYWAipR7qaCiozPCjzu9E6PB73843F2cnNkE7CKrAyPwsfWlyBH+46Ouvz21fVaopwYrGqzfzejtmixVuXVeE9C0un/U2kfM4UpxiVNpxVmosvr6tHWFGhqGrcvks617925I0nFpQF5CtmeejAMTzd2gNFVbEqPwvvrC8xnabZLEfPtUj5/HdrN55v70Xz4CiOjYxzmx6rxjh6bgOJMaFxsR4UVTU1j1If8OOBM5fo3k/0PpAnpYGiuGPqGa5wSMf31pKZGuWfR7pm/e3U4hxcVFUAACjw8N8J0jo16S6QnQmvTZAZcFpJDjedePNTDoHnLAsCPgDGpeDpjNH2NtKv1C5HsfcRr3qKpsWbCwwLZDcd23mXxLCuUEywmgi9V0rv/LOZJsTKUy5So350aSVOK8nB+/+93bI6ONH5Eq0ujZS7oWAIHSMTEQFujAjXinlCvdn55bnLMR5WMBIKYyykYDQcxmhIwWgo8n95hsfQd/zwkhMiW6vmKT/14h6U+NxT1+zujQ0J86Y1bxHFiiYx/WqdE7jTdJzuYPx8xWujRMrhHw8ewwWVBYbyBUTEX290DsAhMTgYi/wvMfSM65+v/MYbB+CUJCiqOiVjVVRAgYrDQ2PC6cR+75osH760tl53XhIh0l6I3P7JLmmpEOZ1jIzjb83Hoagqfr63VXNbS4WOFqV19eNboKqRcnhJdSFuW15tSboEIQqJuwiCIAiCIAiCmMYzrd24a3MTenVOuuS4nfjy2jpsLOY/GCIIgiAIgiAI4uQjz+PCl9bW4/KaItyzpQl7dK7SqAL4a/NxPNXajZsWV+Dy2uI597IdQRAEQRAEQcwXwuEwOjo64n62du1aS9I3Ku4qKyvDOeecgyeffHKa/ObIkSPYtm0bli9fbjp/RHrAE2fxxF5m4aXvcCTn1bzf/e53pvZvaWnBL37xC4tyQ1iBmZe/zxAI4jOLyHyMmSkbPd9fRMyQ6IXv46MT3H2FxV1JmKIKCgRpvb+hbCpA/PvbD2uKu+ZKKGaygxOsXCU8ilUBDDc0lk8FuTFExCSMMUgAluVlGkrTjqDceN83bEGAfVxxVxxJmBHGQgrgjvws2xSKVuZ3a35e6nfj5+csmwpsUtTId1ajwU6qilK/x5a88bigsgC/PdCOoaBY3+qtFfn419HZgfhRrp0hO0k1YZWn+9Aj7rIoUzF8qLEcz7X36nqmcqB/BDWZXkuDi/WiIrXCBL+DL/F1c8ac/znWh/t3HIHPIeG6ReXTPluU7YdHlrhSvijRYExFoAWOFW1FxrTm6tBMpzVCY+uVHbPRKjMiYkVJQLCgBa82sKOfYCWMMfzX+oX40DM7MD6j7V0Q8OEjSypTlDMxov2F6xvLsbogC388eAyDEyHkeVx414ISLMz2C6dlRobMI15RFCmfzhnbGBWJeB0SfJw6TrT+vaGxHD+OI+e8vKYIDzfFn/czy6dX1mA0FMZnXtortL1IXXt4kB8Qbvf9u637hCjzqdYeS8RdZhvy6FhKpDi80TmgK22rxjiZLgfet7AUv9jXxt2WAWgfiS8mNEq0n22U0ZCxuUfRLpJDYnDqkFHECiaX5mZOjhsj4rqohEielDMsyskQTjcoYhKygNh2uEEgfw05iduFmXVuusOT0skSE5IOxbs1RcYoG4uyASSnv5dsjBZfh8QgK9onL/aa8MaK0TpZjwwscVrcTXRTH/DBLUnY2TtkaP8Cryvp8hy9p8GMLOqLr+xDmd+DH5611HAaUXwOGa9cuXFSbqMirEbm58Iqpv7mc8qT0lf7F0co9Lpw32mNuO2F3Zr7G7m8r3T04wuv7NO9X57HiW6O8FxvdiTG4HXIU+L+eIwZeKa4puCEsM4qcdehgdFp8/pmU7Vifj0dhYFR0lPbBYhMW8frh4qcarPj3W3dg7h78yFTaUR5Xec4IhF2ljGryoid8wxxj5fUo0U4PjoRd44gHlbO+1o1Xu8dPyHjHw3Nx54tke6QuIsgCIIgCIIgCABA33gQ92xpwhM6VgOMsrEoG3eurUOeR+zFZYIgCIIgCIIgTl6W5WXiJ+csw9+bj+P+HUfQP5F45ep4DAbDuGdrM/7SfByfXlGDVQVZNuWUIAiCIAiCIIhEDA4OQlEUMMagquq0FxUbGhqE0tB6uXF4eBjZ2dmG83feeefhySefnPX3xx9/nMRd8win06n5earFXbz8WcWqVatM7e/z+SzKCWEVZl7+vrgqssr2jY3l+JHgy9V6EXmBXjLxSrme7+8QkDwmym/HKD/gt9CrLdo5gf2v0D/d1sPdxhVzPngBOYMTIYyHlbRdkT5KsoOC7JDMOA3KSGPJdjlw4+IKC3JjP/GCgkWCI29oLMfCgB8SiwQlR+UrEouUg/rA7PbKqoC48RgZhF23xIbJQOhEeGRZV/B8MinP8OCb6xfiK6/tnxb8koi6gA/OVoZgnMhyBuD0JEgm9dAlIHLc0zuMc8rysL4oG36nHBGrKSrC6vR/FRley/O3pjCA3X3DusRd33jjIKoyvabaY7MMBUPIdienPxyP5QJCQ5fADf/zva3wOeRZ4i6XLOFzq2rx1dcPCOUnWsuIxIrHNn1WVElejvBYFDtkjzPRaodFgvhkZi4omfcVRcpMqlmUk4FfnbcCv9zXht29Q5AYw3nlebiitggeAaFdsvE5JPz3xkVwMAafU57qn67Kz8KqfOPPgO28UvHKmEj5nFm+jYpNxwWEgaJBr9c3lqMu4MNv9rWheyyILJcDV9YV46LKAtvEXesKA7rEGWsLAxgLhaEA04Sm0d/7x0NoFZA5pbNsIBFmcxztlxcJj2t1pG3RuMnnkHFWWS5X3FWT6UWGU8btL+uXf2jRMjyG/3rjUERsyIBdPUN4RmDsHUVU4DkT0bZKZgxFgkJxYPrY830NZbrzlYgJAZG4FcRWDWsLAsh1O9GjsQh5ovv62bYePKvjOqYDvDMsgQn1xeKVLZHylhvtt88Vy7sOjMqaCrwutAxpiyFj0+ZJAKN3J689EpEJ6m3TFmX7MaEomAirGAqGMBgMIawCAZcDF1UW4NqG0qkYoI88t1O3zBGIyOfMiLEAACrw+wPtyHM70a1x70fR2xSZETV2jQUtX1wgIudnmoIHK72JifIffc7Lo2lgFG55HIqqosDrEpo3f1xD6q5FwOXgirvsEOg4mL5RxLsXlKDYd+I82DXPrvVdRYqIFWU3nbvSyZYpiSLy7CrekDAZc3nf236Yu41LYpiwYDEOUexYDCGKSBkROXyyvbDJXtQG0NfHsHKMbce5NdPuE4RRSNxFEARBEARBEASebu3G3Zub0CswyR2LU2K4ZWkVrq4vTsmkAEEQBEEQBEEQcxOZMby9pghnl+XihzuP4s+HOnSv3HigfwQffm4nzq/Iw8eWVekIpCQIgiAIgiAIwiyjo6MJPwsEAgk/i8XlShx0NDg4aErclUjOtXXrVsNpEumHw6H96lswqO+5l1546SdL3EXMP4y+oJzjdmD15Arvm0py8ODuFt3zLSKIBIGbeXSsJ7zloqoCdIyO4/92Hk2cXoLMHB/RFrX4HTL8TjG5gcyAV67ciAv/8bpmUKkZRF6CL8vwTP3M27xtZBz/9eZBfHXdArNZsxW7gyEKvU5IjCGsqAipKrw2CC0cEsMrV26c9rfNXQO45bmdwgF4NVnWy4AAe2Jy491zIsGbawsCuhdp8FgkoxmLkXHaIXXIcTssDZy3k87RCfx491GEFDXyT1URVBQEFRW1WT50jU7gMCd4OeBy4Aur6+IKjT60uAIrTIhY7CCeYGwm0UCfM0tzcWZprt1ZmobMGHb3DunejyG1gZV1WX70TdjbH9dC5Lu7BBuZRMG3F1UVQJYYfrK7Bc2DicfIwIkytFdAwBYr87EiANVlUfRjMsLdtMRdIpIYeVL6aBSV8y2dyY7SNEhlphdfXFOX6mwIMRJS8NHnd039viQnAz85Z5npdO0M3o5XI4jIX2fKXI2KGHb3DqN1aAzhSYlVvteJDOf0+RFRqZLEGM4py8M5ZXnGMhPD/3vzIPb1DZ8Qa6mAghOirQsrC/DBxogEMSgoASr2uXDHmjrkaIggn23rwWdf2quZjqpGysR55XnY3zcMBUBYUTChqFBj8riuIIC31xYjrKhoGxnD3ZubhL+/HZitcqL14aqCLLglhnELA+9F5XAiiLx7fs+pi1Dq98DrsF6I0Tk2gfcvivTV/3yoQ5+4K2Rs0QDRtkpmDOUx43zetlaJqI+PjuMTL+xBSI2MCVqGtfv/VhHb53JIjNsuJyoNrx3vxyOHOy3MmTYfXGR+rMeTOcoSE5rji1cERO5XZer/+Sc4MCptcEr8fmUoVtzFSS9a1/Fu02j/ICrclyaF5rH/hwTq8/+3fgHOKsvTHd9jtC8dmmz7zfJ8e6+QtAvQ39/7w8FjRrI0RSokoLx6UA9aZUGkTN307M4TPy+umOrXaaGnTZ2GwNe2Y2imZ+hcm+XFLUurpv3NjnllLkmqtlNR/iUWX2wVb7t0RCRf8dqoZJzqPoGFlp+/fANeaO/Fp17cY3+GAPx0Tys8DgmXVBUK939F8TlkeGRJU7orMl+d7JjZVBRtPV/RykVw7Di3poWiBGEAEncRBEEQBEEQxElM33gQ92xpwhMt3br3rcrw4OvrF6Ih229DzgiCIAiCIAiCOBkIuJz4zKpaXFZThG9vbcKWrkHdaTx+tBvPt/Xi+sZyXLOgZNZLzwRBEARBEARBJBdR4ZbbnVi+29nZiYqKCsN5KC+f/cK4qqrYu1c7kI+YW/j92s+oRkZGbD3+8LB20L3Xa49khZj/GJnZcMsS/t/6BmS5Iq+ENuZk4NblVbh3G3/lbL2IvIzNTLxSrjfoihfcmCi/Z5floczvwfHRcRwfnUDH6MTUz8dHJ1DoTSyYTJRnK4OpZiISHBP7VYW2t+nVfyvfh7c7KOjLaxdgbWF86ejWrgF0jE5MiQcicgQV4cnA/ooMD9YXZRs67qr8LHx6ZQ3+Z2uzkDTIrqAQO0psvGvmdcj42LIqhFUVYSVyHkOqOvV7WIWuey6Kx6LA/digHavP9fK8THxieTWKfXNj4YmhYAh/aTquuY3PIWEklDjQSVEjQqP6gA+/O9COrtEJZLoceGddcdpJuwAgQ0DSWJvlS0JO4uOQGLrG9AuwzAqMzOKUrJNHGEHku7sSCLlm4taI3n1rRT7eUp6HPx/qwLe2JBa8RAPwRc5I7N1lxSm0SmBkoe8lIVpiCRHphCwxYWFRPHjCBXoGaT9WVVt21j7x7imhOmdG2TQqEmkfGccVj22e+v3La+txUVXBtG2slCqJ0jQwil29iedJYgXHInKIJbkZ+M6mRQi4tKXoIuc+erRvrl/I3TbK0SFtIWMyMDqufuCMxVDU6W2IUVFcIszUtTMR6X9H7xe7JLtG0Qr+10L09MkSQ4VfTFyg1V/Ri6oCBwa051VvWlyBhmw/Xu/sx2/2t5s+JgOwsTh7Vj4090lQHnjzRFFqs7w4NGDuXvfIEs6vyDeVBsBvE2TGhNqNePM8IvdNVGxw67IqDAbDUFUVCiLXQIWK+7YdRr+A5CMdMdreOiQJV9UX4+yyXEgs0sd0TI6xZIlBZhERiOhxonUd73pEr8X/bj+MvzYnHps7GMP3zlgMR4zQKzoGlBhQ6HUbmt8wLO5SVOF7Tws9Y0i9PfP9/eaeF40alDWKEFZVjIbCGA8rUFUgf3KOzKoxGO9c6ZWb2C35E0ndzPOHhGlO3kMi56MxJ2NWefUIzjFYiZ3PI2Kx6mwHXA7h9uT6xnJcv6gcfzx4DPdsbU64XbJlSqKIiL/jXT2R75Osb2xFvS7Kbw9E+pNrCwKWi7scEsPCbD+2dSd+N90vIN5L9h2eirKt55hWjs0CLut1R0ksvgQxBYm7CIIgCIIgCOIkRFVVPHa0C/duO4xeAyv+XlZdiE+sqE7NqgAEQRAEQRAEQcw7Fmb78X9nLMHjR7vwv9sPo1NnEMpoWMH3dhzBPw534tMra7AuQbAdQRAEQRAEQRDWkJWVOOA+HA7D4eC/kpSZmZnws/Z2c8E+Pt/0wHrGGFRVRWtrq6l0ifRCqxwCfLGWWXjpBwI0NiWMISpXOLMkBz6njGKfG++sK0GuZ3pA87sWlGJZXib+cOAY+idCeKmjz5L82S0B0Rv/ywukSZReid+NEn98kY6qqhg2EIylJxj6supCXWmLnJfYa3NJVSF+s79NU66TpjEtUxwaGMFBg0F119QX45WOfjQNagfh/mj3Ufzh4DEoqopMlwNfWls/9dkv97Xh+fbehPueX5FnWNwFAFfUFuO0khw8dqQLjx/twj6N75pK+Y5e4uXV55Dx3oWllh/LqoC42IB7KwMx//jWlSj3eyyT5iQDESkNLzgyGjS4MNs/7Z5KV7LdTlRleHB4aCzu5xKAM0pzkpupGIze/4yltp4v9bsxGLQvsJmHyFd3i4q7OPeFxNi0oP14RAP5Ra6JGtO3sSJIzzqPh/0Rbw6Ncy0mMWWmZGe8+GyRwNt0QlVVHB0aw46eIQCR/iQDMB5WsKNnCA6JwSNLqA/4IbPo+YucwzUFgSkpcDKxKjDVzksVL20RycTM8m1UJDKTeMH6VkqVROHdo7HfV0Rce8vSSq60K3Jcft6MnGszkuNrLer3GslBZYYHqwtmz0dZLXUw2j95uaMvIgRSI62KoqpoTdAHiyWae95x6wM+tA2PY0RHnz5boJwlYlRjvK2FaPmSGUNFhtjCAC4L5ZIi13dVQRZW5WchqCiWiLsW52Qgwzm93eGd3URVnaiAZllupilxl88h48tr61BjgeQ32+1EfZYPoSlheOQ+if6e7XYIyQfiXTqRtvWbbxzE8rxMnFqcE1dE9uDuljkr7goZrP6cEkNtlk9Y4tw6PK75+Rud/bhuURn3ekTbLJ4YaW1h5B60mhKD0vHwZLk1i57+drLnWvosugd+va8Nf2s+jtFQGKNhBWOhMCZibvAluRn4ydnLEFSs02Pxyp1ewaeVizbETV9gG7u6uw6JISxwQuId36oFBtIRq+amL68pws/2ij2rHwspkfucc+x0Pev5Hv4iFUVxFrJIp++zvjiAv164OiJnVFWElMhiHCFFQUhR8ZmX9qB/wtq5P7vGsiJjwqCiaM6NJ7vdScUUlJ5DWrlgQ6nfg6+tq8eXXjtgWZpW9EsIQi8k7iIIgiAIgiCIk4zDg6P4782H8HrngO59M50yPr+6DueW59mQM4IgCIIgCIIgTmYYY3hrZQFOK8nFz/a04Df72xHS+fCseXAUH31+F84ty8Nty6tQZPCFIoIgCIIgCIIgtPH7/ZAkCaqqznpJsa+vD0VFRdw0HA4HAoEABgYGZqXR1NRkKn8jI/HFF0NDQ6bSJdILnhirv7/f1uMPDiZemRcAsrOzbT0+MX8Rfdf5/YvKsCQ3sQQRAJbmZmLpKZFt/nzoGO7ebK5+BZIg7tIZnswLXDSSX8bYrIBREVTBuSwGxA2E1EIk0DL2u5b43Viam4lXjyeuC+26lla9Dv//3jykuQq6FtctKkfXWJAr7trSdSL9vBnyO758wFDWplHodePahjJUZXqxu3cIioppQbrhySDdqkyxYG292BG7kEzJmEfWt9jcqUXZKPC64JYleGQJbocEtyShwu+Z2sbI4neJEA2yTydEgmR5l3gurmb/1soC/HDX0bifnVaSY6hNsAqjQVAyY6akI2ZwyxLWFgZwkCNC8MjSNHGelYi0myKiOgBwCQi+eJcpel+IBG5mu0+0R8yCilo0sNDHCTI2c2/XZ/lwZGh0WkB6PLTqIJF7QWLm2qGluRn48rp6hBQVQUXFxGQw6kRYQVBRDYsMUsUtz+/CGwbeEQWAn52zDFmuDNN5uKSqAP843Gk6Hb3YGVAbr34RKXczBVNGRSIziecVEL0POkbGwSbvm6i0TWZMdx8L0Nc/CCr8ul+0jhb5rkYW/TIjkbNqkTEjWUhUzVrdP3MYPD+3vbDb0H7RoGteU9CQ7ccPzlyC46MTcEkSnm/vxb3bmjX38TlkHBsZh6Kq6NM5FoiKC7TEk/HQ070rz/Bwt/nsyhqcXWbde/0ibW54slBZMf7zOSTcsbZu1t95cyyJhMKiQfp/bT4utF08bl5SiStri5BpkeTyHXXFeEdd8ay/f+iZHTg8OIrDg2N45+ObuenEq7uy3Q58dV09ZMZwx6v74+63v38E+/tHkO124rSS2dJinrw5XTk2Mo5TCgM42D+CAwP6xPBWyvAA4PjoBAB+/RktvzyR/bZue551fW51LV453scVkc0kpKim2xoVgIOJn/c55tSdYmAihGaN+cqxSflk65C+a6AF71yFBPpmsVgloE1EjtuBZs6UsJ75jq7RCbx6vB9jk6K0sbCC0XAYYyEl8rdwGF9cXQePQ4aDMYic+XjHN9KHnitYMbySAGQ4xc/RP4904pTCAI5y5vfn0oIJM4mXd5FxSLK+skeWUexLfM0ibaW14i6j4wwevGrr9weP4ZWOPvz+rasSbpPsdicV/S8939Hq50BWtywk7iJSAYm7CIIgCIIgCOIkYTys4Od7W/GLva1CK1bNZFNxNm5fXYtC79x6AYUgCIIgCIIgiLmF3ynjlmVVuKS6EN/Z2oyXOvp0p/Hv1m68eKwXH2wsx7sWlAi/2EsQBEEQBEEQhDiZmZkYGJgdANrf3y8k7gKA0tLSuGns3LnTVN66u7vj/n10VPvlXmJukZubq/l5V1eXrcfv7NQOPs7JmR3kRBAiiL6MrfelaKte8hZZ8drM+9o/2HUEvzvQDiUqLoIKVVXxzfULkRdHdsF7+dpMwLVeRB7DSwBuXV6FtTqDuUW+xcwywXsvPd1DWsys2G1k15nXjy9hse7F/zNKc3FGqXa7Zg/WBy8kM4DFIyDTieXW5VWoyfJpbtMzHjKTpTmPyH3H20JUYphOXLeoDPv6hvFMW8+0v9dn+fCltfUAgL19w7hvWzPCqoqwEhHshdWItCA0Kdz7ydnLkGVR8H4Uo0FQjKUukPncsjw4JYmbd79TxgcWleOBnUcsz4PId3cLniAxcRdP9hi5L0r9/PfuYuVQVgSgRq/DWyvy8djRxGOkT6yoifv3QwMj2NUzhF/tazOch3tPa8SXX9vPlUhpBWhe31iO59t7ufubCRx0StK8ejfSTOmxKgDz8toi/OtIl/BiTVbVW3Y+GY6Xtlj7OX0bq/qS8dpdiTFcUJmPfx3Rnhe59J9vxv37D85cgk+tqMa3tzYn3PfU4uxpv/Oltyfy6XPIuG1ZFYKqiuCkIC+oTP85z+3USO0EIuO9pRzhdfx0de8CALiipgjri7KN7TwDI1lQ4/TvVTXeX80hMi8QDwmAEWVntPiItLcZTseUdHWmMC8eb3YN4LIE94IIz7T14LzyfPRPBNE/Hor0wXBChhf9XZYYcibLtZ55iiyXA1kuBwYmEo9T+iZCyPWI3TMiiLQB0XrdaFnIcUeu0dqCAD7YWI7aOOM03hxLokMnI0j/6vpieB32C1oGgyH0aVz7mcQ7J16HjAsqCwAAP9p1FIeHxnTtr/X3dOf59l7N/q8WZuak4lGVGZHw8ZKNlt9dvcOa242ErBWlxGJEwBVSVCgWtDYiMvEoyRZVlwuM5UTwcoTJdsitee1OPBGsFnbXstUZXmzu0jZ36RmuNA+O4quvH9Dc5hPLa+BxyAi4HBgWuL/inVO985RWEJGDa9cXVmDFM5ZNJTnw6xDjd40F8TEB6etcbaMSIXKqk/WV/93Sjb19w5PP6iJjiujCI4qqYtSGtsiuRUFE+oe8ujDZIq1UlG0997rRcUAirJZN2y2ZJIh4kLiLIAiCIAiCIE4CXu7ow7c2N6FlOPHDlkRkOmV8ckUNLqzMn9M2eoIgCIIgCIIg5hZVmV58Z9MiPN/ei+9sbUbbiL6V5EbDCr6/4wj+0Xwcn15Zg1MsekGWIAiCIAiCIIgItbW12Lx586xnBz09PQn2mM2CBQuwe/fuaWmoqopXX33VVN42b46/+nxmpv5APSJ9KS0t1fw81eKusrIyW49PzF9EAksB/cESVj3qtWvF6yiJAtPGQvGDlngv3IueTyvgvQie53HiB2cuQUWGV3faIu/Az9yGFzBnNAiiIduPvX2JA4JuW15tKN2ZmClrRr7bTOkB7x4bD0fEAhKzXxDXNDCC3vEg2KSQhCHyHdnksTOdMkr9Ht3pum0IKLM6YEMLDyfYcSYigbe940Gj2ZkXWCHu+u2BdqwuCKAuoC1JSydkxnDXhoV4s2sAz7T2QFFVLM/LxLnl+VPnZDgY4kqHgopYgO37G8rw872twnkzggSWkve8luRk4LOrIgIoXnkKK6ptQVQi9bKIkAsQqyt510lFpJ1xiCw0E5OU2Sr1tOIc3LVxIQBgfVEgobhAZgxrC7LifvZCey++v8OcXE1iYmVZq8w05mSgxOdGu8bzwqgkxSjz7dVIM/0Tq5rzpbmZuGNtHb61uUksAN6iQFi7+maLc/w4pzxv1t9F+q2xm1gpUkoUXFxlYMwRRWYMG4uzga2Jt1lbMF1EzJXexnzjDKcD716oPacjikjdYqSt0VuGSnxuvL+hDG+rLtB9rEQYacfjBTuL9E6yXQ4syvGjKtOL6kwvnmrpxmsa/R7jYlHGN0zHITru5wvipv+eDJF3dCHtfzR34rvbDyfcrtDrwt8vWgNA//mr8Huwc2Io4ectGiImI4iM6cKT39vIInofXVqJaxv486a8mjJRLq0O+tdzbL189bUDODI0iqCiYjysIKgomAgrmFBU9OsQdkXhtaP8ObT4+ydTim8lZuYE9QikAGBtQRZe16g3r6wtBiAiINR1WFswIr8LT8qszZLMOSW9nFeeb0k6bllb+jc6OQdu5W3HO62ikt0ohwftXSRJRCSmp14SGdOPhcMAnCj0uYTeUY13TvXOU1rBuxeW4jkNwfWS3AxLjmPFrRkRrFovvUzXNsqo5Enk+7yzvsRQ2nr5z7FePHI48bNwl0DB+NFZSxFSFHzu5X2aItoodjUDImNC3jbJbqJSUbT1HNLqZ8VWzJJ8Ynk1ZIlBZkCZgedlBGEWEncRBEEQBEEQxDyma3QC925rxhMt8VeW57GpOBufX12HAu/slYsJgiAIgiAIgiDshjGGM0pzcUpRAL/e146f72nBuM63lA4PjeFjL+zGuWV5uG15FYp882elbIIgCIIgCIJIJYsWLYoryNq1axc2bNgglMbixYvxt7/9bep3xhhUVcXWrVvR3d2NvLzZwZAiPPPMM3H/bjQ9Ij3JyMhAdnY2+vr64n7e2iomQzBKS0uL5ufl5eW2Hp+Yv4gG5+oN9LQqbCRVAVSJgr+MBh3aAS8g+pallYakXYBYwMYscRfn3Bg9NRuLsjXFXesK44s/9GLm2hnZd+b146Xxn2N92PTwywCAGxeX44bGCt3HFOWne1oTylYA4PSSHNxz6iLd6X5ocQU+9/I+M1mbRTLvOQ8n2HEmd7yyHx6HBHlSgCZPCl4i/zN8/ZQFNuV07iAUeM+5xq3D49jZMzinxF1ApP1dUxDAmhkikigiwqWQ4POLM0tz8Iu9rdxwpP85dRHyPU6hNGciMevafhHOKMnBhVUFOKs0d6rN4gVwhVT7xF0idZGwuEvg2ot0j8IqcEph/PIVy5r8E+2o2WuoQp26ry+sLMBzbb14pm22bPuTK6oTCiCzXeZDjqTJOpcHV/Ym0O8z0w6lZ7hvarAy+PnCygKcVpyDp1u78Y/DndjaPZh4Y4sOa9e1LPa5keGcfU+InK7Y+1lEYiZKonrUjDyDMaAiw4v3LSzFL/a1zfq8McePd9QVT9+Hc9btEpE4JAaPLEFiDI5Jqa0sscnfjcv89O73jfULsDTX2gUDRLJwblkurltUPiUTjieaEWlrP7+6FmeVReZNx8MK/nSwQ3N70T7PTCQmJuOYSXQXXh0/s9wnY/oiekg9gf5681We4cHOXg1xl4FFvbUQCcKPSl7K/PrfvxFtY3jFbOb8WdfoBF7q6NMcO1uFVYLcff3DONA/YklaAL894t1/icVdBjOUYoxKUwD9UrrTSnISirsynTKW5UXaiD0a82kAcHQoIkTKdjnQpyE48Tusl99EMdKHUAF8/IXdpo+tSwKSxHKZ5ZRxeW2RJWl5OXKniEDK2q/Hq3fDOtv1p1rFF3AyQljla0d1yWUEKrGdPUMo9XtQKBg3F++cemxYIOGGRu3njItzMpDllDEQjD++2GDRQrdWCJY7R4P2iLssTzG1iHwflwFxaiyr87PwZldi2eRbKyKiQt5VF6k5lk+2f/9v/UJ89Pld3H3sev4oUs3xFsJJdnfIKrG5rmPqaIetfg5kxZxBgdcFhxSZC2AAQooitogCQVgEibsIgiAIgiAIYh4SVBQ8dOAYHtzdghEDD/kznTI+uaIGF1bmp2T1RYIgCIIgCIIgiFg8sozrG8txUWUB7tvejKcNvADy79Zu/OdYLz7YWI53LygxtPInQRAEQRAEQRAnWLQovhxi69atwmmsX79+6mdVVaeeSaiqioceeggf+chHdOerpaUFjz766LTnG9G08/OtWRGbSB/Ky8sTirs6OzsxMjICn88eacTRo0cTfsYYQ1lZmS3HJeY/ou+l631/3arnvsmU8sSS6J1t3svcyVxxnSvKMvGifZGXHww787vadW7eWV+Mfx7pRMfoxKzPLq4qQF2WNfWuSFBVIox8N9VEkLfd94Vdq72vyM+CBL50Tg/JFXfpm+PlBciqiASJhmwSCc0FRIJkRa6wqBBpLiELiZnEys6S3EycWpyN/xzrS7hNic+NTSU5grmbjTQppEsW711YihX508WNvGC7kKLadr+JfHXRQEe3QHkWCaZToSLb7URdlhcHB0bjblOb5UXAfULWdlZZHv7d0o1ejaB9LWLFKhJj+NopC/D35uN4+FAHRkJhFPvceM/CUmwqzk6YRrbbmDwuFglibRUvmI7fHpor9wwMIUVBWI0cyylJpvojqcZM1q2W6mW6HLi0pgg7e4c0xV1WtR521X+J+tcipyt2PNYZpx9tlJl92ChmxF3R/tzNSyuR43bidwfa0TE6AafEcFl1IT7YWD6rbuT1Ae0SNS7Ly8Szb1/P31AnesuQHX1gkRTzPC4szPZrbiMSAB1bPg8NjODAgLZIqG8iKJC72Ri9x6Pl52PLqvDBxvIT8l1MF/H6ZshQzIzBRYkKPninOTYvestXeUZ8uWaUo0PWirtEhAnROqbE58aS3Azs7ImIxbJcMgYmtOMWRL8/75zOzOaRoVF8442DQmmbxarugYggVg+8cyvSl4r79zmqNzVzneKJELW4qq4Er3T046WOvml/ZwC+fsoC+CZFWxdU5uNfRxLL5dZNiqRvaCzHPVubE273QY7MxwxG2+yuMWNtQyzVmV6sLsiCgzG8erxfc9tRC0WoPD6zshbFFi0U6uWML0dDSsL+nVF4NU26zYOJzFNaPW97eDAyRi8UmIMH4vfT9C4wEOUbpyyYHMtG6ls2KWRlACo4fQC3LOHrpyzEJ/6ze9Z5W5qbgesarHlOaWZscQIVmXEkyGZJ5tyXHkTmEgKu2fMtIs/xzNYRy/My4XfKU4taSLH/g2Ht5MIsVp7btYUBnFOWi39z3vu269kCT8oF8AWnyS5rqSjaVksR9WBF2/eFV6YvUvP0ZaeA48skCEshcRdBEARBEARBzCNUVcV/jvXh3m3Nhh/EnVacg9tX16JAcLUAgiAIgiAIgiCIZFHid+OuDQ14taMP397ajObB+IENiRgLK7h/xxH8o/k4PrWyxrJVxQiCIAiCIAjiZGTZsmVx/75lyxbhNE477TRIkjRN2sUYg6qq+Pa3v43rr78ebre+l+G/+MUvIhQKTaUT+4Lr6tWrdaVFpD8LFy7Ejh07En5+8ODBhGXVDIqioKmpKeHnlZWV8Hq9lh+XODkQDSzV+wK7Ve9Qp0pekCg4JMyJQrZrhe548EVZxtMOuPmv+84sE59bVYuhYAgKIu8SKJMSiujvRQYDzvI8LnxnUyP+Z2sTXu+MrMzukhgurS7Ercur00ISJyLYmcnM66cnEMPuoA09QeB6yHE78bFlVbhv+2FD+8cjqeIui6MuZMbwvoZS/GRPq6XpziUcEsOagiw4JQYHiwhrnBKb/F+CU2J4qrWbm878FHeJCwxEWFcY0BR3BRVzSr1IwJ2pJHQRr73lieBCiiokEzGUH4HrJSLkAgCXQKPic8oo87shMXYi8BEnAh9lxqbEPp9cUYNbX9g1KyBQZsCnVtRM+9tnVtViZX4W7nh1v1BeZzIzANstS3hHXTHeUVcsnIYl4q7Jc8CDV2Z495iDmWuHXjjWi00PvzL1+10bFuLssjzD6aUaM8Iau+7N9ywoxfkV+VAn+6UqItIrFZH6IMtlTYibXd0RNUGvTOR0MQA9Y0H8rbkDL8+QepghUXAxb5ykRbRvKzGGdy8sxdULShBSVDikxPfyxuJsvHCsN2Ga/zzShctrimZJHtMVvW2oHeMBq8ZVIgHQsdfVzv585DvpL5tRiQxPYDUTu6UublnC8rxMAPrmA/SWr3L/7O/tlBjK/B6U+z2oyPAgrKqWXTsJwAcWlcHBGOTJ+37azxJDQyAijGOM4bMra/D+p7YDAFfaBYh/f17ZndnOlcU5T3Zh1V3iNDJ5oQEvNV5fKlEZSlMnChczdXNU3HXftma0j4xPyXTYZLpssr9/emkOzinLg0NiuGvjQjx6uBP/ONyJkKKiIsOD9zeUTRMsnlIY0BR3rSmMiLtOL83F/+06iqHg7HvK55BwVmmu4e/Gw0wfwgwqVLx7YSnevbAUAPDWv7+GPg2Bce+4MbmxERblaEsy9cCTO6kAxk3OB8yEdy+k6ponQmRuRU8/SWTsHx07FwrG0MWrLzNdxsRdb6kwt+jUhuJsPHj2MvxsbwsODYzCwRguqirAFbVFls3Pic6faMEYg9+p/xzxeo/p2kRFhY1aLMievQCKSD/J7C1789JKoe2snlfM8/DvL5FFJYwgcs7sWjzFKMmQEM9ET9/J6nGjtS1fBLvKE0EkgsRdBEEQBEEQBDFPaB4Yxb3bmmet1CFKjtuJTyyvwvkV+ZY98CUIgiAIgiAIgrCDU4qy8avzluN3+9vx4O4WjIb1PbY7MjSG217YjbPLcvHx5dWWrYpHEARBEARBECcTZ5xxxrTnCVFR1ubNmzExMQGXi//yZV5eHjZs2IAXX3xxlmirubkZN998M37yk58I5+nBBx/EL3/5y6m0ZnLWWWcJp0XMDZYsWYI///nPCT/ftWuXLeKupqYmjIyMJPy8sbHR8mMSJw+iL3/rfSnaqpe8U6ViGQvFn//hBh0m8eV2XlCpmYDBNycFWZrHn/F7XWB24IdV1AV8+P4ZS9AyNIaxcBj5HpclYo9YzLz4LzEmFBwTy0wRQ/T4MhNYbV3XkfRjNLhWhHctKIHfKePne1vROjxuOJ0oyQxg8Vosh5IZsDI/C4B5cZedQbR2IjGG+89YornNv1v44i63NA/FXQKFW8+jCifnHE2YjMKTwJIa4BWvHuLJPsOqqkt2pgeRb+4SrLBEAlTXFQbw5wvERNFrCwO4e0MD/m/nURwYiIwp6rK8uHlJJdZOBurH8paKfGzrHsDvD3YIpR+LFec32wKR0m0v7EbrMH8RUn6Z0d5fVBAmSprFr+vG6KlwMIbKTHvkJ5WZXlRm2i+5liyo/+7esBCVmd4pCR9jiYOvRcRIEmPoGZ/AAzuPmsqXU2L40VlLIU1KAgsSBD/PFPfpYeatKDMGmSOXubiqAN/aklhwDgCDceQj6YreMmSxeweAWFsmMsbk1Z0zjyVSjxr9ukbHCkbr44GgvVKX00typoQYicR+UWL7ZXrnBhbnZOA9C0pQnuFFRUZE1lXoc9kmWWOM4cNLxIQOALAoJwN3rqnD1984KLS96PfXK0fP97rglBiCSWjArYqzcFk8buIJJ3j1QaK6zG5ZuV0YqXPOLcvD6aU5qJrsr7za0T/VZ49Hkc+FcyZFrx5ZxhW1xbiiNrEk98LKAjzV0hNXdvmhxRWozYrM5RX73PjGKQvw+Zf3TXsnzi1L+Mq6BbpFhnoQaTfsQK98L5ml0spbQERCn2ge3Ci8OsuucblRRERiempPkfdCo/exqLgr3ikNuJw4qzQXz7T16MidNSzOzcB/b1xkW/rZbieqM726F9mdSYYBcRevNLSNmJ/PtoMMp4wNRQEwROYp2KRoPCp+lFj8+SaRuTzFgAjXCFaMq2MRybVdfQ6Req57LIhf7G3F+xrK4n6ebJFWKtZQ0nNMqxd5sqMLn6qFqIiTFxJ3EQRBEARBEMQcZ3AihB/vbsEfDh4zNGnKAFxRW4QPL6m0bMUygiAIgiAIgiAIu3FKEq5tKMP5Ffn47vbDeFIgWGgmT7f24KVjffjAonK8Z2EJN1CGIAiCIAiCIIgT5ObmYvny5di6deu0l76Hh4fxxBNP4OKLLxZK573vfS9efPHFqd+j8i5VVfHzn/8ckiThvvvug9+feEXrcDiMu+++G1/60pdmycSiyLKMs88+W89XJOYAS5ZoiyW2bduGq6++2vLjbtu2TfNzXr4IQgvRl+H1vsBuxfvuq/OzhIITNxXn4JHDneYPGMOB/mEszs2Y9Xeu0ChJ0z2qqnJXhDbzjnh6hU+dwM5AQTMv1Q8Hw7isphB/az6uud36wgAyXY64gTJfWF2LL66pAwBc8ugb6BydSJiOXQHTUXivgpg5PGMMl9UU4W3VhWgaGMG7n9Ru43iIyI2swiPrD/ZKhITIuVhXGMDpJTl4vn12EK0ezpyj4q5YXmjvxV+aOqYFl0kMWJjtx6vH+zX3FREdzTVE7nM9723xpFFBnQuWzERiDP9u1f/cxCjDcWQsvHpcBdAmIHPicXlNERRVhQIVihoRFizPy+Tu5xIsp1YLFQDg9NJcnFaSg86xCTAw5Hmcmn27y2uLDYm7QhZEvQXc5t8n3Nk7JNTD5ZUZnowiKjLiUZHhgVNiODSgHXScbgHsejHaIi/Ly7C0jU0FVnTNVuZnCYtpRUuKFUHIjTkZaMyZPS6aiZnya6RvK3K8uRQzq/da2RFgLnK+RI7KE0oB06+5mLjL2Pc1uh+v/k/EwIR94q6aTC/W5GfhJ7tbMBoK4xf72jS3j72eeu+x6iwvbl1ebSCXyeOS6kLs7RvG7w8e424rKrrjytBmnEeZMZT43DgyZL5/ycOqO97qfmbnWOJ5CyAimxuYCEX6zuoJka4y+X8iYc1cqr9jMVI3L83NwIWVBVO/8+Qoeo8gMYZvrF+A3x88hj8fOoaRYBiFPjfes6AUF1bmT9t2Y3EO/nrhavyt+Th6xoMIuJy4rKYQORaL82fy6ZU1GA8rU+UirAI7egYNvZenh0uqCqf9zqv5k1kurZTXVGR4cENjOTyyBI9DhleW4HXIcMsSvA4JYUVFUFExGrZOeMqrd9Nt3COSHT33t1uWsK4ggNc6489l+R3y1AIYBYLirkRtudE+y1zg0upCfHf7YcP7MwAZzpMnXrEy04v7Tlusez+RflKyJOO820xvcRcRXtv1nEX03tzWPZjws2T3h1LhTdUzXnNYnEGR8qGHyLOMOdqJJeYsJ08rRxAEQRAEQRDzjJCi4m/Nx/GDnUfQZ/Dh4sKAD59bXYulufyXlQiCIAiCIAiCINKRIp8b31y/EG+v6cc9W5p0r+w1FlbwwM4j+NeRTnxudS1W5WfZlFOCIAiCIAiCmH+cffbZ2Lp166y//+Uvf9El7vr85z+PgYGBKWFXrLzrpz/9KR577DFce+21uPTSS1FVVYWCggIMDQ3hyJEjePzxx/HjH/8Y+/fvn7ZflOjfrrnmGuTl5Vn23Yn0YOnSpfD5fBgZib/q/csvv2zLcV966SXNz9evX2/LcYmTA9H3iPW+JG5FKKDoSt5rC6yfX1mRYM6GF6SQrBezU7la+HzlkyuqccvSSjzc1IGf7mnVte95f39NaLuPr6hGbZYv7mexQcC8oAERoZ0ZuII6C44vMYbjGnIyUeyWmMWysiATPzl7KbZ0DeC724+YSit6f0qM4Svr6nH/jiP4a9NxhAwEjFxYmT8r4HYu0jI0ZlhgJipEmkuIBCPpKS9OzjmaMBmFJzFg3KT8Sw9DwdnvronUB80ccZIIt6+uNbSfqGDOLhEdYwyFXrfQtkYDxa0Qd2U6HZAArqDUCnj3WZjzfWSJCYk/v7ZuARbnZmD9n7THdf+7/TDOr5i79Tmv7xnvuvocEm5fVWdbnpKFFQG1ehbBFZMLWCd6EYF3v2hhpM4ROZzEGDZ3DeDYyPikDCTSzw5PShcVVUVFhgcbi3MM5Npa9JYhO/rAIkHTIocVkXHEpiP03Q1+3b9dtBoA8LmX9uL1zgHh/Yy2QYNx+idmWZmXiQsqC3BRVQFueHo79vXHn5OcSWydPFclSDw+saIaWS4Hfry7RXM70bmRMKfovtnZj7fOaKdL/XNM3CVqMROEd86icnK9ZFkkWlkYiD//YhdGevFex3R5Ka8KNTLX53XIeH9DGd7fUMbdNuB24lqB7azkoqqCWX/7/QHYKu6qzfKizD99bMSTrBiVQRrByma+1O/BjYsrEn7+vn9vw96+YesOCP685fd3mJtTS3hcGFuM4qm2Hn7aOq/JjYvLseX5AQTjdFpvXV411ZdLJDAUPf781XYB715QgubB0VkLZWQ5ZQzEkbnPJNvtgHcezhdaDWMMd29YOCkmj9R0Eov8XUKk3Un0PMNqrH6eJXJ/2FVERIfHWv10u58BzcRKaaTwMXUc0uoFXKyed3TO10EXkdaQuIsgCIIgCIIg5hiqquK59l7cv+OI7oD0KD6HhA8trsRVdcWmVqklCIIgCIIgCIJIF9YVBvCr85bjd/vb8eDuFozqDEhpGhzFh5/dicuqC3HLskoEXPauUEgQBEEQBEEQ84ELL7wQ995779TvUWnW3//+dyiKAklgxfiMjAx8+tOfxp133jlLkBFNr7W1FXfffTfuvvvuuGlEZRqx0q7YtBhj+PznP2/kKxJpjtPpxLp16/Dss8/G/bylpQVNTU2oqamx7JiKouDFF19M+HlWVhaWLl1q2fGIkw/Rl+H1Pue14qVy0ZfbrX7BusjrQmWGJ/6xkiA0EkFkxW4zMQciq03Ptyf/2e7I/Fy2jfN0ouWDF/xqNta2fyKIkKJCmZQWhCf/KWok0J4nT3rsaBe+dsoCc5kA8M03DppOI5niroDLiUCuE73j5gPyYwNNMpwOfHZVLW5aUoFnW3uwq3cYjAF/PtTBTWdRth9fWluf9EAeOxCp1xJhl+golWS6HLi8pggyi5QXmTE4GDvxs8SQ5xavr3jBQ+FJgYnEGDYVZ+M/x/p05ddIESz2uXBsxJjAL17QoIjszGxQa02mF7/b3441hVlYEPDr2tclMF4F0qM8G329z4h8cPaxGXI9TnSNBU2lIxK0zbsv+P0+INfjxH2bGiFLDBKL5N/BTvwsM5awXzkTTxpceztZVxSAS5Lw4rE+uGUJawqy8OElFajO8tp+bHWyrxOK9neUyO8Bl8OSNtSsyCHH7dAVpOx3ytxtMp360jQLr/+aiA1FART5xIQFsYiMVyQAv9vfjmc0ZAznlefZKu4aDoYRUhQoiMrCIv+rk797HTJy3E7d18qW17AF0hTJp0hTELuJSH/e6NfNmJT/6G2fjPZLzy/Px+NHtUUz/3fGYjgkCRIDnm3rwc/3tmluf31jOU4pygYwW/CjRew5S+aYKZlIjOHGxRX41b42jGm8ryN6fxV4nOjU6H9cUDlbLlTm9wDoF0rfDFaN90T7o6KI9L+NsDQvE68cFzuvn1xRjfPK8yBPCkckhqmfk132zynPw6aSHEiM4Qsv78NLHX3cfbyO6deEV/uky+28uWsAD+5qAZsUhUqMgbGI9CP6t7s2Nhi+BgEdY10tluVmYHvP0LS/ZThl3LWhQfd9laxzX53pRY5F318Ei31+tqUpgsSYkEDUaNp6WJGfhbs2NOB/tx+eisHLcTvwgUXleHtN0dR2eR4XZCYyFxz/+AsCPoyHFagqEIaKNwVEpU8c7ZocF6m4uKpQ/EslGcYYvrimDlfVFePZth6oAJbnZeIvhzrwtIBszSlJQvd5jtuBv1+0BkFFRVBRcP7fX7cg93OLs8rSYyGyIq8LCwO+iDRsck5FAqZ+3907jJDRgWcC7OoriI4ntOYSkl2XpqKPoeeYVvc7ReYU9EDiLiIVkLiLIAiCIAiCIOYQ27sH8b/bD2Nr96DhNM4uy8UnllejyCe2Yh9BEARBEARBEMRcwSlJuLahDG+tzMd3tx3GEwZW+/tr83E8196D25ZX44KK/HkRYEUQBEEQBEEQdnHuueeioKAAXV1d0/7e2dmJhx56CO9617uE0vnUpz6FX/7yl9i/f/80+VZU3hX9ORGJ+u3R/W+55RY0NjYK5YWYe5x55pkJxV0A8Oijj+KWW26x7HivvPIKOjs7E36+adMmyLJ44B5BzER0JiIVgcSiL06bkb3E44bG8rh1fdPACP51tCvOHifonzAv9BHh66/zhUdm5plEzqhZQUG6cnpJDn6w6whGQlYr4cTvN16ZNitheP+/t6N9ZDzh5xV+D44OjyX8/IKKfFPHn8KCudBUxEPMDKw1QrzAm4DLiUtrinBpDXCwf0RI3JWtU/SRzpgJrnTNw8CYiMQDODo0NiXrkmMC0WWJYUv3AM4rF7sfnQJB+hOKAo8s49LqQt3iLpkxXF1fjK8JtE9ARFB0XUM57tp8SNdxAKDE50Zl5mzRj4hk1GzN3jQ4iu9sa8ZnVtboF3cJRtxZLVQwQnmGBzluh25RYVjUusrhHxetwQ93HcVP9rQaT0TA3OXgnOuQQPC0R5axoThbV9YSsaHImnRSBe8WzHI68I31C6fNvdjJy8f68OmX9iCsqAnv/acvOwU+HSKcRJhths7RGSi9PC8TbolhPME955QY1hRmoXPUmBzRCLx23C1LKPK6wBAZp0QkH8D5Ffm6ZEQnjsffJipw0cLqseRMbn95L17VkM9cVl2IL6yp012G7AgwF2l9RI7aJLBA9OHB0ak6Txb48ma/7aDOcfpHntuFx9+2Fvv6RvDzPa1wSBFpalSe6pAikka3LOGzq2qn9luSm6mZ7qnF2WgZHscfDx6DLDH0jeuTVPLqq8oMD+5cWw9FVaeJQOfr2D0Kb+5IVHqwMj8r4Ts/LolhcU7GrL+X+sXknOnC+qJsBNwOuCUJTlmCS5LgkhhcsoRvbWkCECln8qR4aSAYTpgWA7C+KGBLPq+uL8ZfDnWgW+AeKfa6kefRL4C0A6ckTY27vrS2Htc9tRUdo9rfwTtjXp87H5Qm93PPWBCvdWrL1cyMajYVZ0OC+fHbPac24D/H+vDE0W6EVRWNORm4pr4EuZ7ZYixejyBZo7Szy3IN9Y2MYsecUqraHUlAgGU4bQP7nFaSg1OLs6fEXaU+Nzwzrq3MGPI8Lhzn9NsTydxuWlI57ff1f3qJm687Xt0/9fNFlQVp/67qwmw/FmafmH/555HEz0tjEf1WZ5TkTtbfAEDPWlPJtQ1luLahLOHnFz3yOsZ1LK4sMtSzS9zVITgW1zp8suvSVDxj0NOv0bu4FA+LpjCnsDp/BCECibsIgiAIgiAIYg5wZHAU9+88gqdb+Sb6RFRlePDxFdU41cbVqAiCIAiCIAiCINKBQq8b31i/EG+v6ce3tjRNvXAhSu94CF957QAeae7EZ1fVxA04IQiCIAiCIAgCkCQJV111Fe6///6pF4mj/3/rW98SFnd5PB785je/wRlnnIHR0dG48i7ei8qxAUGx265fvx7f/va3dX0vYm5xwQUX4Jvf/CbC4fiBS3/5y19w8803Q7Io4P7hhx/W/PySSy6x5DjEyYvou8R63zm24qVy0femzcRaZznlqUDETKeM6xaV49KYVe9jGdIIWIwSUqyXPcXjWYFV5c0EHbylPB8/5cgySv3zc/GusgyPbQEbT7d2I9/rgmNSurOuMICAa3bg1d0bGxAMK1DUiARBUVUoKqAg8v/CbJ+pfPACl2uyvJrirjPLck0dP4oVZ9mua6WFRxZr499ZVwxFVRFWI8G3oclrGVZVrkQpKFiXWB1gkkrM1J5uwWsy19jePYh9/SMJPy/0uoTFXSJys5CiAjKwrjAblRkeHBlKXA/MhIEJS4eqM7345Ipqw8HI71lQEvfvIvWBg0UCXpWY+zF6j4YVFR6HhPGwwg32NSJ6ERVypUN5NhqsF7JIgMMYE+4HJkxDYBsH53taLdJcU5CFNzoHEn5+eW38Puhcgdf/j57NpAWGMyDIaSitks2ZCXDNcMq4pj5+vZYIlyxhXWE2XjjWG/fztQUBeGTZErmHqEyZJ+5anZ+Fe0+zTnIvUg9HhJe8+9yqHMWHdwX+2nwcjx7p1C2DsEWyIZDm9u5B/GxPy9S5lRiDg0XyU+Rz47QS/e+Li8w1mK03tORDiZDA0Dk6oSmmcUpsmrgr1+PExVUFeOTwbKEEA/CO2mLs7RvGnr5h4XzEiip44q7aLB+W582Wh82lGHJVVdE2PA6XfEIo5ZQkzUB4Xr9NdH7q5iWVeKWjL255+cSKmrh9tHK/GwUeJ0r9HlOLpCeLi6oKcFFVQdzP3lFXPOtvNz6zA9sSfK+GbD8ynPaEigdcTtxzagM+8PQO7rYi8r9UkOtx4oEzluCKx7ZobjdTDM5rl1Ll11HViAg1rETGUcNBvhDRTN2d4XRgFafvLIJLlnFxVSEurirkb5wm595mp+gs7OhTiAoTrea25dW4Z1JCaDVGz5PEGGqztOdxC73a4q5Lqwtxtc7xgihhNTJPMpdwC86tRK/Z+RV5ePxo4sV4zyvXJ1EmUsfbqgrxs73igndFYGYp1d46rcMnu4uTitlIkfP/3dMasTwv09Jrpaqq8PMXUXiLAxCEHZC4iyAIgiAIgiDSmO6xCTy4uwV/aTpueCVLv0PGjYvL8Y66YqHVGgmCIAiCIAiCIOYLawsD+PV5y/HQgWP48e6jGAnpe7j3Wmc/3vPkVly3qBzXLiyFKw2CMwiCIAiCIAgi3bjmmmtw//33zwoc3LJlCx5//HGcf/75QumsXr0aDz30EK666iqMj49PBRGoqioclAhg2n7Lli3Dn//8Zzgc9IrUfCYvLw+bNm3Cc889F/fzI0eO4KmnnsJ5551n+lgdHR149NFHE34eCARwxhlnmD4OcXIjGkSlV45jxUvlotWxmXimP1+wGvv6h6GqwKIc7aBDkXOQrFWwRb6zmZzUZHkRcDnQPxE/EG91Qda0uaumgRG80tEPFREBSjSgLyqckhlw3aJyEzlKLrzAX6Pcv/PotN9/ds6yuOKuVflZ9mRgEl6wWV2WD0eHxtAUZ4GCpbkZOM2iBdzmqrhLRDbkYAyfWllj+Bii8huj7/akI0ZESFHSQXRkB7zrq6f8i7zDNRFWASfgd8r4740N+PSLe9AyPC6UvsyAgNuFd9YV4/cHj8363CdLuHNtPcozPKgP+CAxhs1d+oKwXRLDexaWxpUKANAUOkRZnJuBO9bUJ/xcVVU83HQcd28+pJmOEdGLaDlNl2dDRm7JkIUGHLPVm5C4S6PMKKrK7W/pbYMurCxIKB9oyPajZo4v7MM7HclusnhiNiA92tHPraw1tKjT51fX4rqntqFzLDjt7/keJ76wJiISSmY3iSdBE6mj9SAahM27T+0uAyKSB55gLn66RnKjjUiSW7oHsSWBxOeUwoCwuCv2tCejPz+YYFyrBWN8MXe8euazq2owHAzjmRjZts8h4ePLq7GpJAe7e4eE81CX5UW2+8R4cabgZyYjofiCslSMmYwSUlVc8djmWX+XWaQ/65IlfGVtPTbFlDVeiy0qkCnL8OC7py/G97cfmRK2FXlduG5RGa5IINc8qywPZ5VFhB/r//SS2IHmELevqsUNz2yf9e6TW5bwxTV1th67NiAmLE9TbxcAsTnX2PmFx450okVDog4kb95xJu99chsODCSWSs/Eilx+eW09rntqO3rGp/d1Sn1urCsM4K/Nx7lp6CkfFRketA2PQ0WkXlEAYHJeEwAaczLEEzOBSB/HSuyQbNkhAxNhXUHAtrTt/EqFXpfm58dHxeZlAOCONXXY3DUARVXRMTKON7u0pZIhVYEDxqTqqUJ0ziR6zc4vz08o7irxubEsjvSUSE/eUpGnKe56W/V0OanIUC9V7WoUrfoyadLzFB0PEGsvZMYML/6gxfd2HDG1f7nfjT+8dRVCiorgpNiUIJINvZVGEARBEARBEGnIaCiM3+xvx6/2teoOLI/CELH5f3hJJXI9s18sJQiCIAiCIAiCOBlwSBLes7AUb6nIw/9uP6y5Ylc8JhQVP9x1FI8f7cLtq2qxqsDeID2CIAiCIAiCmGucdtppCAaDcT+TdC4ocvHFF+OJJ57A1Vdfjba2NjDGpr2UmEjgFW+bt73tbfjNb34Dv9+vKw/E3OS9731vQnEXANx77704++yzIcvmXiS97777EpZ3AHjnO98Jl0v7pX6C4CFac+oN9LTiFW/RQCWzspc1gkE9QsFeSXq33SNLGAsnfrbfmOPHgmyxIMd4SIzhEyuq8ZXXDsz6zCUxfHRp5bS/7eodwne2NSdMzy2xOSXuStZL9qkKoO4Y0Q74mlAU3HPqItz15qGpgGUAOK04B7evrrVMKmPF10/FOfQIfP/vn9Fo6hii8pv5FBBiRpzhmqcLC/IkgiJSmigi920wRk5Rk+XDQ+evwnPtPfj8y/u4+0bHSLctrwJjwF8OdWB8shzXZnnxqRU1WFs4vb3NdTtxcVUBmgZGsKt3WDP9Dy4qwzvqipHnSdz3FZHCTIQVdI5OYDQUxmhYifwfCmMkpKA604u6gA9X1BZxxV2Pt3ThmgUl3OPFIlp3utPEPmDkjrRSgGM+YJ2B9y144i4eeoPcL6kqwO7eIfzpUMe0vxf7XPjWxoaUBElaCS/3fBWatYj0Eawqs2akdfUG++z5Xhd+ce4KPHSgHS919AEA1hcFcE19yVRdaYU0QfSb8aSjVvfZfA4ZNzSWIzwp1FBVdepnBZH/CzyulAvl7Lqt7egDm00ymqcsDRl2lHzviXfMxQTZxgkqiubYORESY9xy7YzTjnhkGXdvbMC+vmEcHBgBA3BaSc6UJFxU0AsANy+ZPu72cQLWE4m7ROqCjUXZwvmyk4kEHeCwCoTD8a8lr8+spy5szMnA985YjJ6xIBRVRcDtmJeLmD/b1oNjI+OQGYPEGBwscp5kKfJ7ud+NJbmZqAv48MAZS/Dj3S146VgfAOCUogBubKzAwmx7n4OIijTSWUxX6vfghcvXYyQUxlhIwWhIwWj4xPhjLBxGZabnxA4C36U8w21jjhOj9zSLDml29Axid89Q5B5XI9KLsIrJ/1VcU1+M4ZCC14/3AwzYVJyDq+qK8at9bULp6xkz/+zc5cLb2kmyp3nskGylStxVlenB5TVFeLipg7+xTiQbJ/0LvfHvawlAnteFLJe4luNt1YV4W3UhAODFY714s2uP5vZhBZhj3i5hKXr0ip1emovrG8vx4O6WaZ9nOGXctWGhLUIgwh5qs3zYUBTAyx39sz5zSwxX1k4X/ddk8cfarjSZg4tHsnugqTgVIt/RjmbRivk3abIf7ZIZXFSNECmCxF0EQRAEQRAEkUaEFBV/bz6OH+0+iu6xxC/981iRl4lPrqjGoiStJEEQBEEQBEEQBJHuFHrd+PopC3FZdT/u2dKEpsFRXfs3D47iw8/txNuqC/CxpVUIuEmQTBAEQRAEQRBRzMqQYtm0aRN27tyJr3zlK/jBD36AsbHIiuYzJV4ziQq7Ghoa8JWvfAVXX321ZXkizHH77bfj4YcfTvj55ZdfjrvuusvUMc444wwsXLgQ+/bFlxjs378fDz74ID70oQ8ZPsZrr72m+T2cTife9773GU6fIKKIBtLoDbjZVJKDJ962DhIDzv/7a5qBlBuLstGY44fEGBiLBOdJDJpyjlgCbgfu2dgABQBUYCwcxpfiCKfioUd6I3IOPrOyRjg9M/DkJG+tyE8Y9CPKhZUFmAgr+PHuFhwfnQAA1Gf58NFllViSO30let65MbZ8WOr45vqFCCoKFBX4rzcPYigYPwDaLCKSGTsY58glfr2/Hbcur8b3zliMQwMjGJgIIdftRGWm19J8WLGifSpOoUegL/rQgWP415FujIXDGAsrGJ8MMh8PKcj1OHHPqYs0989yOXBWaS7e6OzHoEb529w1qDv/6YoJ54llMrl0gyeU0dM2xxNLzGRCmV5bOySGc8ryhNKPJu+QJHxyRQ2uayhH6/AYnBLDwmx/3LxWZXrxpbX1ePxoF+58db9m+meX5XH7BSJB+48d7cZjCRZc+cCiMtQFKuN+NpOdPUNC28UiKpgTDUK1GyNiQDPyolkYSKrU54YK4PSSHDzf3ot2jqhSqx0+0D/CPZ7e/jFjDJ9dVYsLKwvwZEs3RkNhLM3NwPkV+fDMg2Bhbn8wyRICWaDes6rMfnhJBZ5p6zG0rxkJQK7HiZuXVuLmpfHrrmT2k55s0V7Myuj5SUSG04EbF1dwt+O1DT3jExgOhuF3it+D731yKybCChiLjFslxiABU7/f0FiB00pyANgnebBF3GVy/2iearO8yHY50DcRSrjdpuKcqd9F6lIzX3cgQT54SODXEbJG274w2x9XbCQiDMz3OPHhJZU4vTR32t954q7RBOIuEdHkexaW8jdKAkGFP3sQ2/cX6a8YEcgYWcD8wsp8/PNIl+79UsHDhzqmpI/xuLiqYGreZ1FOBnf8ageibVg6ibu6xyZw07M7ITMGmWFKjCZLbOpvn11Vi8YE8TYikinR8ZnV6F/QQWz7F9p78dM9rQk/r8vy4jdvWRknfTFSJZAyQ7L17HbcQ6ny4DDG8KmV1fA5JPz5UAdGJ2WPBR4nOk3EykXStiKH8VlXGIDEIu+aFnpdU//yPC5Tc8cidcru3qFZkvV0R1S0FHv/f2hxBc4oycE/DndiIqyg1O/GlbXFyNQhRSNSj8QYvn7KQtz+8l680Tkw9fcctyNu+3p+RR7u1Vhspj7LZ9tcjFtims9gFuf4Uer3YNmM52yxJLsNs+JZje5jCnzHdF24ZC72MYj5B7ViBEEQBEEQBJEGqKqK59t78f0dR9CsM3g8liKvCx9bVoXzyvPm/IpvBEEQBEEQBEEQdrC2MIBfnrccv97Xjp/sPsoNipvJ35s78XxbLz61sgZvobEXQRAEQRAEQdhCIBDAd77zHdxxxx343e9+h0ceeQQvvfQS+vtnr9gKADU1NTj//PNx4YUX4pJLLoEkGIBNzB8YY/jYxz6Gj33sYwm3ue+++7BixQqsX79ed/odHR349Kc/DUUjWO2aa65BYWGh7rQJYibigXD60nVKEpyuSP3oliWMhBKX57PLcnFZTZG+A8TgkeVpAa1jCYJV49ExOoEqQRmRyLlKlmyDN0dk1bvsl9UU4aKqAhwbGQcDQ5nfHffYvG+dri/XJyIaaA8AW7oG8PuDx2w5TjoFmCaiVmBleqNY8e1FpBxW43Xw7/OnWhPLKYp9fClhbZYPd29swKY/v6wrb3OZ+oAPb63IR1hVoagqFDVSd3SMTGBv/7DmvqJBe3ONMFcWYa24K2hCYDMzWCnX4xQWHmwoytb8PNMpoy7Ar4vMyhDHNPoqViCav3QR0RkpDT3jQTx0oB1X15eYPr7eq3FGSQ6+FSOV6Bgd54q73Bpj+VeOx58PiMVoO74sLxPL8hIHZxLWIDJ+ERHoiBBwGV+A6e7Nh1CV6Z0SQDFMiqAmf397TSEqMozJU62QRs2tXvxseFXvrt5hvOfJrfjLhauF0zwyOKr5zL9/4oQYwq7uvh1BwmbfQ4iea8YYzirLxV+ajsfdbkNRAN6YAHmRutRMzgYnjEmYGWNccZeRvgevu1Wd6cEvz10Rtz+Q53GizO+GzyHD65Dhd8jwOiT4HDJ8DhlFvvjybockYXVBFiREyo4cK52b/D/bnR4hv+NhAXFXzHkXmWvQO59llI3FOXNG3MVr/0RkL3YjmoNUzAkkYiKs4ujQmOY2iQR7gFhZVVQ1JaIIvf1eq8RriRaCEM1OKqUaH1hUpiklS0Sy51BtEXdZLH85uyyXv9EkTknCrcur8cHGcvSMBeGWJTQPjuLWF3abyoOdZem0kpxpc9FWIVI/3vL8Lrxy5UbLj20nbsHFvWZ++0U5GViUQJwYyzX1JfjdgfaEny/N5adB2EeWy4H7z1iCHT2DODI4BpfMcFpxTlwBV57HhdUFWXgzRvIVy3kV9skwz6vIxyOHOxN+/q2Ni5Dv1X5GkKwmbElOBhSoKZEuihwzXR8tJmuMQRBapMconiAIgiAIgiBOYrZ3D+J/tx/G1m7jq25mOGVc11CGq+qLhVYSJQiCIAiCIAiCOJlxShKuW1SG88rz8N+bDwm97B9L30QId766H48f7cLnVtWigPPQliAIgiAIgiAIY+Tl5eGWW27BLbfcAgA4fvw42traMDIyApfLhYKCAhQUFMDns09gQcwdzj//fGzcuBEvvfRS3M9DoRA+/OEP4/7778fGjeIvvh89ehQ33ngjjh1LLInJzc3FrbfeqjvPBBEP0eBcM8EpPPGIWdHGTPSIHgaDIeFtRc5BsoKruKIsC4/llCSuLIBXjky4YFLOxVUFtom7UhUMe2pxNl481pfw808sr05KPqz4+qmQn7llCRuLsuF1SPA6ZHhkCR75xM+7eofxVGt3wv1FgtGjzOFbRzfnlOXhnLLZAVOPHD6Or71+MOF+bonN2wUvFE4J0KN3cgnIhh893ImPLqvSkWpMXkxcgiyXA8vzMrEtwbtspxbnCN3rZuvUER3iTztJlgSUh9EuzbbuQUvEXarODMzcutzv0dy+McePSg15q0hpmgsCzmTCqwfSUUJglbgrqCHd5vFm1wDe7IofSAxE+m1GxV1URMXEEXrHo7yrzWKOKVpPMADvXlCCX+9PLAmIxY6garNJxo6XP768Grt7h7G3b7p8tcTnxp1r66f9TSTgmZnInZ4xfywSA0I2yI148yN+pyOhxPOd9SV4p4E21u+U8cAZS3TvlwpERLKx5yeR1CeWZI0Vzi/Pw4vtvfjX0dnyrhsay/Hj3S1JyYcIvPYvlbKjKKLXLR0kY1FE+hVa51akzQipakoC9PUK0oTFa1xxV/xzKlJG9Qg1VFVFSFURVlWEFUzKxCN/i0rFc9xOXZLllXlZAPSLu5ItKLl5aSXeu7B0SuQoM4b9/SN4sb0Xzx/rNZSm1f2Ut5Tn694nw+lAhjNyt+QJSsW1SJ+aRhzR+vGrrx0AY5Hrlu9x4cNLKm3OmTncgje30eaBN25NhzaSAJbmZmJpLl+I/o1TFuD6p3fMErufXpKD9zWU2ZU9XLuwFE+39sSda7yqrpgr7QL0zfsa5fSSHNwTI8FPNiLjPN78eKqguoBIB0jcRRAEQRAEQRAp4sjgKB7YeURzVU8eTonhqrpiXNdQhoDb/AQmQRAEQRAEQRDEyUR5hgf3ndaIJ1q68Z2tzegZD/J3iuH59l5s7tqC25ZV4W3VhfM2GIkgCIIgCIIg0oXCwkIUFhamOhtJJRQKaQqj4tHVNTsYKZaRkRG0tOgLTMrKykJWVpaufVLBV77yFVx++eUYGRmJ+/nIyAiuv/563HDDDbjpppvg9/sTpqUoCv70pz/hW9/6Fvr7tYXPd95555w4P8TcQPTlbzMvIYc471XbIT0o8bkxGAxhKKgt4dATDCWSz2QJqnhZ0Su7MAvv3KiI5GkuzmctyPZjSU4GdvYOWZ623sBHq1iVn6Up7lqZzw96sQIrvn0qpCkSY7j3tMaEn/+tqUNT3DUW0iP3SM/AlGTCE53pCZyda1gpvnQKiLt+ua/NuLjL5B391XX1eP9T2zEwMV2uUZHhwadWVAulYVYEOqZDqmcnIpI1uwgpKlREgtONCo2satr0Hn1mdnltLO/+EhJ3pagdT1d4AZfJbtFEro9Vt/2ECXEXDzP1azrJ5bKcqVkgWOQcOHXcy2FV5YqFjo9OTP0seglkxnTdI3ZcW7OBx7HtsNch48dnLcW/jnTi+faI9GN1QQBvrymE1zG9LNhdl87sW4jCwDDKkXp2j01ofh4PXvuaTvdtKhCpT2P7SiJSyGSdU8YY7lxbh1OKAvjzoQ6MhsIo8rnx3oWlqMn0pZW4i3fe9AiP7MIq8VMyMVsehfsuKWhSRarqi6sKoKgqVFW8bue1PYnOqUjqetq19pFxXP6vzZrb/OTspVgiIImJckpRAGeU5OC5dn3yq2QLShqyZz+zWpaXiQKP07C4izf/e2FlPv55RPu5Ymz+NpVkG8pHlJAFE/Zzcegneh8+eqRz6ufKDE/ai7tE50yMjqN4pWUOFoWTmjyPCw+dvxJ/bz6OXb1DYADOK8/DhqJsW59V1WT58K2NDbhnSxOaBkcBAC6J4bKaInx8udjcazKepVlRP5pBpJpK10WBmievK0GkEhJ3EQRBEARBEESS6RkL4sHdR/Fw03FTK4RdUJGPm5ZUoJSzGh1BEARBEARBEASRGMYYzq/Ix4aibNy/4wgeburQtf9QMIxvvnkIT7R04/Ora2mMRhAEQRAEQRCEpRw7dgznnnuupWk+9thjeOyxx3Tt89GPfhQf+9jHLM2HHVRXV+NrX/saPv3pTyfcJhwO4wc/+AF++9vf4sILL8Qpp5yC2tpaZGRkYGRkBG1tbdi8eTMeeeQRtLbyV2C/+uqrcdFFF1n5NYiTHLtXBVZVlfuc2qxoYyY+h4y/XLgav9rXhv/dftiydMVeIk/OW+SbinPQPxmALLHJQJTJ/xkDarN8SclHFJFidGBgBAsCiQWG6YrMGP57YwM++vyuqSALq3CkKMD0ytpi/PNIJw4NzP4+l1UXxg3aswfz3z+dgnSjuB3aUbRjYYUrshuYCGEkFCZtF4DxsPZZcM9jcdf5FfkYCIYiEiVFRUhVoUy2q4oKlOl4PuCyOfrebFNe6vfgt+etwC/3tWFr9wAUFTijNAfvqC0WXlzSbH0wwpFzJItUlumbn9uJbd2DptIwK3GLItKlumvDwqk+UJ5nejnhlQcrAv/mYvC2nfDFssnJR5QirxtfXlsPWWJwMAaZRcqFLLHI/4yhyOey5Fg8kZMZzFRtyewmfWBRGX66J/Gcxk0pEgCInAMRuWUUkfHe/v7hqZ+vbyzHO2qL8eiRTjxyuDPhPrLEdNVLdo/jjTCzTnTJEi6tKcKlNUWc/QS+i4mvOxg0Ju6SGF/qaeSd/LWFAbhkCYqqIqRE+nXRvl1YVVF+kr//MSFgVIzt14rcN8lsrx2ShIurCnFx1fTFQAYNCuTsgjPESos6RljclUYdspBZcZfAeTcTC2QGXt4urynC7atrDaSr/Xmie1ykiIqU46NDo/jnkS70Cyy8qbe7JzGGL6+rxw92HsVfmzowrqiQGeNewxRd4lnUmJhbXpGnLTgTLcdrC7Jw59p6eGRztjor+urpUC/qZVG2Hx9aXIEf7joqvM+RoTEbc2QNonMmiS5ZSFHRPxFE/0QIfeNB9EX/Hw+hbyKIIEcimkbNDiGIW5bwjrripB93bWEAv3nLCuzpHUZIVVHmdyPPIz4HcVpJDu5cU4evv3HQtjymWtwlUrUme5EiUeycByIIUUjcRRAEQRAEQRBJYjQUxm/2t+NX+1oxomu1zumsLcjCR5dVoTEnw8LcEQRBEARBEARBnNxkuRy4fXUtLqoqwF1vHsTBOEFyWrx6vB/vfmIrPrK0Eu+oK56TL4gQBEEQBEEQBEHMB972trfh0KFDuP/++zW3GxgYwEMPPYSHHnrI8LE2bdqEO+64w/D+BBEPu6cUeMGAgH3iHZFU9bxaLSKiSNa72p9dpT8Yzk5EwmVe6eifk+IuAMj3uvCbt6zA8229+NbWQ+gc5Qf0xcMrRwLyQ6qKsJq6AFO/U8b/nNqI7+04jH+3dENFRHj3jroi3NhYkZTV3AFr6p90nBf1cALIVEQCO7RESvdta8Y/NOQO84mOkXFs7R5E33gQveORwLneyYC53vEgusYmNPd36ZBtzDVuXV5tWVp6pCRGsOJezPe68IkV1Yb3NysCHTPxfp2VpFLcZUWNalW1rHB6aTWZXnhlebJNVdExMoG24S6szs9CvtfFLZO8YPEsFz/06WSXq8yEd+nVJOsos1wOPNXajefbe8EQyR9jDAyRYGsG4C0V+bhzbb3pY4mIZoxiZqxkiUhP8LKdWZqLX+xtjTv+88gSTi3ONp+XGP7W1IFn2nqgqBGZlqJG6g1lsp9dk+nFF9bUCZ0/Pe2H3vYuOv6pyvTirRX5EUnTlKxpclwwOYjc3TsknK4dPk6zSRrtC4i0embyZlSYxACcU5aH3+xvT7jNVXUlutM9szQXZ5bmGsrTfOY7W5uxr28Ym7sGuNvG9v97BWQ7VklFzeC0WaKrl2QL9o0gOi+RTqdWRO6odWrnsrjL6EIGRvvsIve1SNloGx7Hg7tb+BtCTMw2kwynA59aWYObllRgOBiG1yHj0y/uwVYNWXK6aEDKMzxYEPBhf/+Irv1W5mfiUytrNLfZUJSNbJdzSmAZHdOFFRW940GU+j24qq4YCy1aWMAKuUoaVTXCOCQJ2QLj2rmGS3DOJF79sqVrADc9u1Nzvwsq8nWnSxCJkBjD4lxjsbg+h4xin9viHE0npKZ2LlSkPT8+qv1sIFXke8QWmiAIO5l/rTxBEARBEARBpBkhRcU/Dh/Hj3YdRdeYsZdFAaA+4MNHl1ZiQ1F20l7KJAiCIAiCIAiCONlYnpeJX5y7HL/Z344f727BuI4Xu0fDCr69tRlPtHTjjjV1qMr02phTgiAIgiAIgiAIIhG33XYbJiYm8OMf/9i2Y6xfvx7f//734XKJr8ZLECLYHcAoElBmVtzVMxbE8dFxqJPHUyeDt9uGrV0hXiQoI1UBdKlG5NzMlbcOxkJhhKcEAOrUz2FVRUOOHz5ZBmDsXYxHLl4Hv1MGMHul8I6RcRwdGkN4xnGjP7skhtMtDPAu8bvxzfUL8dmVQYyFFWS6HPA5ZMvSF8GKMpFOQbpA5LqKSHfGwopmoJldQsN0ZHvPIO58db/h/dtGxi3MzfzFZXPwfTqUWAczJ7waCYctyok5Uimjs6KYWNUV4qXTNDiK2/6ze9bfv7NpEfK9Lm49yuuzibSJhV4am8XC6w8mS3AbS/Qyq5P/pv0BxgQM8bBCBpAIM10CK7oT1zaUCm3XmJOBjy+vxre3Nk/7uwTgzrV1KLVYdNc0OIr/HOtL+HlIiTxzFxmnOPWIuwC4JYZxjWt+eU3RrL8VeF0o4NQZu3SIu+wQBphtA4z2X0XeTzeTtYGg/vY9KvprzMnA6vwsvBlHJuVzyHh7TaGJnBGx7Osfjnueo/gdMj6+ohrBsDJNrvl6Z38ysmcauyW6eglz2q25JCVJp7Gz2cULarK8+Oq6esiMQZZY5H/GIDNM/S3Dmdx5mygfXFSOy2uLpuVJYifymGdQXmG0zy5y2UXKhp4+gFE5GRAReB3sH0H3pKzcruNYjZGs8OoXALi4qhAXVxnIkEGCinkxzVyqF2NJDz25tbhNtKkigu4xzru76SAEJU4e7G4RQqmYqInBITG4ZUnznfmHDrTj7ZN9ECtZlO3Hnr7hhJ/7HTKGQ4nHkpdW01iQSD0k7iIIgiAIgiAIm1BVFS+09+J7O46geXDUcDpFXhduWlKBCyoL0uphBkEQBEEQBEEQxHzFIUl4X0MZzi3Lw7e2NOGljj5d+2/rHsR7n9yKGxdX4N0LStNi9UuCIAiCIAiCIIiTjc985jOoqanBV77yFQSDxhfXice73vUufPGLX4TTSau3EtZj9yNhkRe/zc5lPHa0C/duaza070x5khYi2Uyf0KrkIhK8NFfOzYWPvIERjRfyzRArmZoZoP5Uazfu3XY44b75Hqel4q4oAbcTActTFcMacVdy50Jbh8ZwaGAEnWNBdI1NoGt0Ap1T/wdRn+XDDYvLuemMhcPI0nitXjQg8PSSHOG8pyvZLurfJAOHzbKAdFgUUsCZp8mYTXV/LNkuB/o4gdoi8j+7sOI6Kha1+EZTiQaK88SOvIB4kf5pWAUcqS/6c4aXOvrw2/3teNeCkqQdk1cerbp8ExbIABJhJjDcCsHAqvws4W3fWV+C1QVZ+OPBDgwGQ8h1O3F1fQnKM6yVdgH8PmB0GCoyhnPqED8yxrCxOAfPtPXET0tiWJqXIZxeLHpEHXbII5jJO8LOfrnRMvSjXUfx490tuveLlhuHxPBfGxbiCy/vmyaVKvA48cU1dajJ8hnKFzEbB6f8nFueFzc4Xui2SYO2Ot3iMQIuB3LdzhhxeEQYHlYiv8+lV47S6dyK1ONa+c3zuHBBZYGVWbKMVQXi/QE99E9oP0fpHgvi8ODorIUsRdqs/1q/kLuNnnGyiJBKiy+8sg9dY/znRmnk7YJqYFSWjotaWJGn9Klp9KHn2cdcQXTOJF5bFhASd2nPDaVRs0OcBNgtc7RKZm4UiTEszvFjc9dgwm0OD43h2bYenFOWZ+mxNxZna4q7inwuOCUJe+Nsk+mUcUkVibuI1EPiLoIgCIIgCIKwgd29Q/jutsOaq83wyHDKuK6hDFfVF8Mjp2Y1DoIgCIIgCIIgiJOZsgwPvrNpER5v6cb/bGniBm/EMqGo+P6OI/h3SzfuWFuHBQG/jTklCIIgCIIgCIIg4vGOd7wDq1atwle/+lW88sorptOrqKjAnXfeiTPPPNOC3BFEfOxeLV6FijyPEyElEggY/T+sqFMrvpsNsjMTUFg9I/BLC5F8pmNwUjKYT/EqdgaoaglRePdieB4WLb/T/LspcpIjiv/S1IFf7GtL+Pnx0XFkuRxYkpsBtyzBM/kv8rM89TMvyEz0a60vytaR+/Qkx03irmRwMiz44dAhXonHSMg+8U6U/9qwEB95bpfmNi6eccpGrFCGmYxnn8JogHE06JDXb+O1q05Jgs8hw8EAWZLgkBgcjEFmbOrnSADl/L+3RBGpZl493pdUcRevGFk1Fgra2FEzU327JAluiWFc48b86NJK/HJfG/rjPJe+vrEc2Trb6fqAH7evrp36PagoGAqGIDMGiTHILHLezZ573u7RAGeR4+htI29aUoFXj/fFbTduWVpp+P1r0WrPNkmNyWTNlNUlORnY2TuU8PMra4sNpftMa3zBGo9YIUyO24kHzlyC7d2DaBseg0eWsbE4Gy4Dok1lSpIU/Xn631wyQ4bz5Ay95bfb8W+QuTRMdssSxsP29zdF+O7pi+P+/ZrHtwAAXmjvxYvH+iAhMo8hsYhI8sNLKnBKmo1B02mck+9x4abFFZMiNHVSjBYRPkV/z7BgHmQ+cWFlAX6yp1Vzm3j3Da8pLPG5hcoqTxoYi9lxjoi0CwCeaOnCZ1bV2D5nL4KR75yO85dBCwap6XA9jGDV+DydEJ0ziSdAFhF3DXDe102jZodIc3b3DuGOV/bF9P3VWT//4a0rkedxJUzD7lt4LAlzoTzOLc/XFHcBwN+bj1su7uLVjzJj+NbGBnzmpb3T5F2FXhe+tLYeZTYIyglCLyfn7AFBEARBEARB2ETb8Bj+b+dRPHa0y3AaTonhHbXF+MCiMgToZTiCIAiCIAiCIIiUwhjDWyvycUphAN/e0oQnWrp17b+nbxjv//d23NBYjvc1lKXVS2oEQRAEQRAEQRAnA3V1dfjFL36B//znP/jZz36GF154AYqi78XXRYsW4dprr8Wll14KlyvxC7sEYQV2zxxkOB149OK1cT9TJoPWzAa+GJVM1Ad8up6Ri2TT7hWw0xWRKai5MktlZyCWVsq8487HsrUsLxO7ehOvai5CsgPn8r3a7XLnWBC1WT785Oxlpo4j8r1OKQzg8poiU8dJB7LdFF5AWIPZ5yFj4bBFOUnMhICsgSf2sxMr6lSrmqs/HuowtF9YUNbDk62eVpKDpy87xVAeTlaYQG/PNuFQAlROmKtVuZnQOebXg5n70iExLM7NSBgE65ElXFVXjNUFWbh322Fs645sl+mUcc2CEnxwUbnhY0d5qqUbX3rtQNzPZAY4JAnPvX297nTjBeLHEg3CFWkanDrbj9osH/7n1Ebct70Zuyf7stkuB65tKMM19cbFdAqnvC7LzcAX19TZFrxttvUxc3+fVpKTUNxV7HOhLuAzlK7RLMUrEsvyMrEsL9NYgpN85sW9eOFYb8LPL6jMx1fXLRBKazQURkhRwaIyPJwQLDFMipbmkGSE148LmzCPpMtZcEkM4/Z3Nw2jqiqaBkc1txkMpt8XcEqp6zvPpMDrwgcbzbedJxMhgcFDvPaFd9V5fcAoesaQInm1gsFgOG2khEbyYaa+tougBX31ufr65dtrC/HWynwoqgpVBS5+9I1UZ8k0RuSpURwCbQZvrlpk3EsQQGQOsGV4XHMb3tyUUam9KMdGxqGqquaCM3bztqoCPLj7KHrHI9I8t8TQkJOBpbkZWJKbgSU5mSj2Wf+uBK+vIDGGIp8bPz9nGd7oHEDH6Dh8DhmnleSkVf+TOLmhJ2sEQRAEQRAEYQGDEyH8bG8rfn+gHRMmJjffWpGPDy+pQKmfTM8EQRAEQRAEQRDpRI7biW+sX4jzK3pw9+ZDwivvAZEHuj/YdRTPt/fgS2vrUZNl7EVWgiAIgiAIgiBOPsrLy7F3795UZ8MUd911F+66665UZwObNm3Cpk2b0NPTg+effx5vvvkmDhw4gJaWFgwNDWF0dBQulwt+vx9FRUWor6/H0qVLceaZZ6KqqirV2SdOIlIZdCIxZkkgqdGXym/UGUwnEoichrFJSUHkOs6VUyPbeE9oBQTyjjsfxV1WyDuSLQDJ92gHiYyEwhgOhuF3yqaOw6ubi70u3L2xYV4s3BBwUXgBYQ1m74eRkH3inSjjaS7usqJG8TlTG7wWmuyMrSnIwidXVEOe7G/KDNN+9jrM1dPEbETKT7KbLV73ySqpTdDGQYDZLH5wUTlufWF33L74O+qK4XHIWJKbiR+dtRRtw2MIKSryvS74LLpHnmnrSfhZWAXCAvViPHhlKSrBEukrGgm6XVWQhZ+evQytw+NQVBWFXhc8Js8Zr7x6HbKtz/3NSgjM9Mvf11CKNzr78XrnwLS/uyWGuzc0GE7b6D1uV+A6L1k9Q75vbWnCI4c7E35+anE2vrOpUTzBFMO7xomFOfyTli4jpkhdk1h85XNIcMsyVDWiEVBVFQqAXAsXZW8dGsN925sxEVYxoSgIKirGwwqCioJDA9rSLsB8m6QXt8QwrtHGfnltPQo4cm0ivRGZ64rX5vPqadH6VM8YMpnzcumiAzEijEmW4EwPVvTV56qsySPL8Mjza+wrOmditB+Y4ZQxpCGqTPZcNDF3ESmDvOrJ7hp1NKygeyzIXazETjwOGdfUl+CBnUcRcDnQkO2HW5bQNjyO46MTeL6tF7LE8M66YizKybDsuLzmKnr1GGNYWxiw7LgEYSX0ZI0gCIIgCIIgTBBUFPzpYAce3NOCgYmQ4XTWFmTho8uq0GjhoJUgCIIgCIIgCIKwnjNKc7EqPwv3bW/G35sTv3gZj129w3jfv7fh5iWVuGZByZxaUZUgCIIgCIIgCGK+kJubi8suuwyXXXZZqrNCEHGZD/MFRgQAn1tVi7PK8nQeR+RF+/QLTkoG86EcRbHru2wsytZMm3fcwWAY5/3tVUiM4Z5TF2F5XqbVWUw61oi7LMiIDkSCgrvHJvCvI/145XjfpCDmxD9pUhxTk+XFuxaUJkyDd27yPNYJNVKNQ5KQ5ZQxoBEUR1hDrtuJnvHEi4R8Ynl18jJjAzJjqMrw4PDQmKH9x8MK/tF8HJdUF1qcs5hjcCLyGABHCttUK9rAVAcFhyf7YotyMiwN6CP4iBSfZPcZeT1zq3Izodgn/pNM5vKUomzcubYO3912GH2T7xw7GMMVtUW4ZWnltG3tWAD4qdbE4i4z8MpStLoVKXNOg0Y5xhjKM6w7ZwqnxNotvjN7e5q5vx2ShHtPa8Q/j3ThsSOdCKsq6gN+vGdBKUr8bsPpGs2RXcIUXh8/rGM+gTf3YLbuSDZGz41DQLxnRM5nB7y65oOLynFtQ5mteRgLK3i2rdfw/kk/k4xBqzU/Wefg5hNhgUsYr37g1XCiPTM9Y6/W4XHhbc1il0BSL0buMD1tWbIIWSDumgfefADAW8rz8ERLd8LPzyzNSWJujOEWbNcTXbNTi7Px4rG+hPtVZnixq3co4edpcnsScwCxhYC066dkLBR0dHgspeIuALiythg/39uG/okQXj3eH3eb6xfpW4iJB3c8Rfc6MQcgcRdBEARBEARBGEBVVTzV2oP7dxxGi4lJ3/osHz66rBIbirLTZkKXIAiCIAiCIAiC0CbT5cAda+rxlvJ8/L83D6F9RHxcOKGouG/7YTzX3oM719SjzMKXhwmCIAiCIAiCIAiCmPvMtWDOeOhd8d4pRQLV9SLyonayggb7J4J4ob0XDBERkDQpBGJgkFkkwGtdYSBpYh+RKzBXShov4PzM0hzdga4OxvDBRu3AApFA98FJsVE6BsEZwQp5hxXyLz3ke5zcbT707E4Ue13Y3TeccJt1BQFNcRfv3MyXMhAl4HaSuCsJ8GQBwQTiGZ9DxkhoblyfU4tzcPhAe9zPctwO9I5rL5S5q3fIVnHXWaW5eOSiNZhQFIyFFUyEFYyHFUwoKsbDCkKKktJ3+qw4tFWBbe9bWIpf7GvTvZ8VQdmEMUT65Mkee/CaS6tut2DYRnGXBXm8uKoQZ5XmYWfPIEbDCpblZiJXoE+TzvDFXZGLLxLW70iTiFxe9aV33KsXs6mbPY1OScKl1YW41MJ22Gie7GqKefnRM5+gt347MjiKoKJCZgwOaVIsLAEOJkGWIuJNt5w6wRXvPkzUvhcKSAbqAz5DebIankAsmIQ+jFFRYZRk91N5JdK+1pdIFiL1Xrx5H25RFqxPPQ4JNZleNA2Ocrf97f42vGtBiVC68wUj1VI4Dcdj1oi70qO/aJaLqwqwIi8TLM6zBIkBRV7jwtRkYba/cnpJrqa4K9utrUFJk6EDMQcQKSu8Of5CrwsXVRZEJM8qsKdvCM2DxhYsSMTRoTGsys+yNE29ZLoceH9DGR7YeSTu5w3ZfpSaEDrHgyt6nyf1PjG/IXEXQRAEQRAEQehkW/cgvrutGdt7ElvbeRR6XfjwkgpcUFmQ9JcWCYIgCIIgCIIgCGtYX5SN37xlBR7YcQR/OHhM18p2m7sG8Z4nt+LW5dW4vKaQHiwSBEEQBEEQBEEQBAHAvkCDtuEx/GxPK1QAKlQoaiRmSoEKVY387VMrapDtNh8wPhDUlnDMxGisjkiAzisd/dhYbP/K9B0jE/ja6wc1t/nD+StRmem1PS+AmDwp/cK24jPBES/wpC9LczOwv38E45PpFPtcuG15NZbnZWrupyfkKMOZHCGb3VhR/yQ7cC7fww8M7x0PwsHJFu+7X1lbhLNKc6fEfDJj0372pDCo3g5y3E70jgeR7XIix+1AttuJbLcD2S4ntnYPYlv3YMJ9r+dI8YgT8GQBEwkayNX5WXjhWGJh4QUV+abyZSU3LanAG5392Nc/Mu3vbonhQ4srcPfmJs39o3X3OWW5eKq1J+F2H19eZSh/blmCW0AwkSqskCpZJWY6tSRHt7iLAQjPlQ7HPESkXU92kPMHG8vw9trCyXEIAFWFEvkPKlRUZFjTV36+XZ/UVQ9W9XX8ThmnFGVbklY6wAtwPjI0huFgWOj88drHZMFzjNh9/5gtao40fP/A6DsRdknS+MI58bQUzgh7Znm549X92KshFn5fQyluWWqsf2MF6woDyHDK08ViMT9XJZjbELl7eecqWRiV6FqJWdlJsmtL7i08z4TWAPCtzYegqJHvLrFIbcRYpI/NGHB+RT4aczJSnU3LEJGSx6s7efW06N1U6HXjd+evxNsefQPHRycsSXN+of8eS0fRvBX163yRNSXjuYXduATbskT9rkuqCvBkSxfe6ByY9dmNi8txqF9b5Ge3TJeYP4iMRXn9/4XZfnx5Xf3U7y8d68XH/7PHbNamcXSIL69MBu9rKMXu3iE80zZ9PjbX7cTdGxosf9+dd+7TY5aAILQhcRdBEARBEARBCNI+PI7v7TiMJ1u6DaeR4ZTx/oYyvLO+GB55fry4SRAEQRAEQRAEcTLjc8j41MoanFueh2++cRBHhsRXUBoNK7h78yE809qNL66pQ5Ev/VdJIwiCIAiCIAiCIAjCXuyKre0dD+Kvzcc1t7l5SaUl4q62YX0rTKsGA4hEAnT29ycOhLUSxWBgm12kYYy2YQYntMVc27oHcUNjOR7c3TIrfG1xjh/3n7EEI6EwmgZGIDGGpbkZcAjIAPRcr1wL7pt0wIqF5+QkR865ZAkBlwP9nHLCg5fvUr8HpX6PqWPMJX5w5pKE98Azrd2a4q71hQG7sjXv+PTKakyEVThlBpckwSkxuGQJDinye06CuoV3m6VTYK7XIeOBM5fgz4c68MTRLigq0JDjx/sbyjASCnP3n5gM6F2dn6Up7lpTMD/LnTVCRfNpAMDyvEycVZo7K2AvEVGpwQ92HsHARBAbi3PQkO23JjOEZSR70dnVSbpXX+7osy3tedTNtpQVHCkuEGmfxMRd6XGWeXIhuyUBZtNPtlBXBJFxczzsKhK8dPXklxdoPvN6hjjSklQvCv626kK8rbpQ934r87Pw6MVrwBARHccKjiTGIMG8rMoqeKKRoFHLvA7MigqTvUCgVXKmucRfmo4jpFEXLMz2p5W469tbImLkCyrzsSSX3zbPJCxQ7uPdOryiqEuEqKroHgvyN0yjcW+yMFItpdP8QJS2kXHTaZCsKX1wCbZlia6YS5bw3xsb8Iu9bfhbcwdGQgqKvS5c21CGi6sKsPHPL2umKzpHQRAi/esnWrpwQ2OFcJobirJxQUU+/nW0y0zWptGi4/1zO5EYw10bFuLFY314oqULIUVFY04G3l5TBL8NC9nwxl60MDYxFyBxF0EQBEEQBEFwGA2F8Yu9rfj1vjaMG3wIIzOGd9QV4YOLyi150ZkgCIIgCIIgCIJIL1bmZ+GX5y3Hg7tb8Ot9bbpWEH/leD/e/eRWfGpFDS6szKeHjARBEARBEARBEARxEiPZFHSSjkG7UYyGD4m8aJ+sIB6RVwmSGX8ucr3Tt0To57SSHGwoysbP9rTi4MAIHBLDRZUFuKquGG5ZgluWkKNTFHFueR5OLc7GP4904d5tzQm3k4B58x6IFfWEIwV1TYHHxRV38eZcUx0Yn25IjOGPB49hb98wJBY5PxKLBN9LAKoyPTg8ODuI6Kq6YqzIz0p+hucoG4tzDO3HE80lwTGgiwynA+9rKMP7Gsqm/b1pYIS773g4Ev5/WU0RHjvahe09Q7O2ubq+GAvnqRDKinrZqj6gzBi+dsoCfG/7Yfzj8HGMhBTIDAmfh6mIxNL3TYTwwM6jCLicJO5KMiLXPp3HCGYI2VgRUp8hPmIiY0AWOH2ONBF3/euIdvD1C8d6bT2+2aKWJqdxGsNBvrQzHna9P8GrA0WqkieOduH46AR3UfCZ1+PgwKjm9g8f6sCHl1TyM5BmuGQJebIr1dkQglfXJEPc5RKpFDVI9n3OO14a+oFMw/tK6aGhO8HmrgHs7x/B7w8ew42Ly3XJRwCg2OfGR5ZWIqyoUFQVYVVFWEXMzyp8jtmyDv55EC8cfeMhIdnUfBTFxaKokWsQUlUoMddAL+ko7nrkcKfpNNKxn3OyIirk1Op2ZTgd+MjSSnxk6dzr+xBzB5F6Y0vnINAoniZjDJ9fU4uaLB8eOtCOvvEg/E4ZgwbHPQDwVGsPrntqG352znLDaVgFYwybSnKwqcTYHLYeuH0uqveJOQCJuwiCIAiCIAgiAYqq4rGjXfj+jiPoHJ0wnM45Zbn4yNJKVGR4LcwdQRAEQRAEQRAEkW54ZBm3LK3CWaW5+NrrB9E8qP2yZSxDwTC++voBPNPWjdtX1SHXMz+C/QiCIAiCIAiCIAiC0IddceAiyVoVk6hXlhURO6i6g3HTSTSgCASgJUsiFjnWyYXEGJblZeDbmxZZlmZU+BVStEMBA27nvBE4mIwZBpCaAIp8rxMHBsylMV+uoZW8drwfz7T1JPx8QcCHgYkQBiZCyPM4cXV9Ca6oLU5iDk9eeOU1HQNz4xEv4HsmE5NWKJcs4VunLsJPdrfgr00dGFdU5LqdeNeCErx7QandWU0ZVlRNVvaX3LKET62swc1LKzEUDMHnkPHb/e348e4W7r4BN4UuJRuRKz9fm7+A24HecW2pp1Hm6zkzi8hYUmZMaMznlNJDg1KX5dWUK31gUVnCz6zArNSbJ/pMBUMGA9gHOJJeo1jRp/rVvjbs6Rvmbqe3Paa6xn7K/R6MhsJwShJcEoNTkuCM/i8z1Ad8tufBZbK+K/V5LMqJGLxiqRpW86cvKqceSOeFGX+0qwU1mT6cW54nvE+Rz433Nxho3ywQIUbpGhOL25ojw17d3L/jCH6+t9Wy9MLpZvaGmPCVRxrfeicdDolpSr2j2LVgDUGIkiuw+EqhT7+A1iPLuG5RGa6bHB9u7x7EDc/s0J1OLGZimOcqvLaB6hBiLkCz3wRBEARBEAQRh509g/ifrc3YEWeVPlGW5Wbg1uXVWJ6XaWHOCIIgCIIgCIIgiHRnSW4mfn7uMvzfjqP43YF2Xa+mPdvWi61dW/CFNXU4szTXtjwSBEEQBEEQBEEQBJGe2CWjEknXiqAZo7QMj+leDEskvDFZQTwiMVBpGDc9b7Dz3PaMBzU/zxMI+JgrWFH/pEKAle/RH1AzE7o/Z8MTFdRm+fC1UxYkKTdELPNF3OVx8Fvy8Rh5Yo7biU+trMFty6sQViPnwTHPb16RoDRegKwdp8jnkKfEa6L9x2wXhS4lG5EmOd3ElUZkvvH4yNIqfPONgxbkaDbpJA82QrHPhWMjiYOARYKZ4yFSFzAmJop1JqFuV9WIXkZRI6KZsKpCVSNSGs9k/cYri3Y3t2aLWrrd3wAwHLRHwGWUq+qKcXpJDiTGIDMGiWHazwGBtkukPwPol2snU/x9spIOYxkz9V2Wy4HqrOQuKp/qejEVaKvc02cu4ZnWbjzZ0o39/SPT/v6FV/bhjCM5qM3y4eallbYdn1cT6ikawuKuJIniztMhPrMCq4tUKA3vSyvmLOaqwKVpYARBJdL3DCkqQqqK8OT/IUVFfcCHYp871dnUjUuSMBrWrjHTsGtKnGQE3E4szvFjV29i6a5W/799eBx/ONg+NY5UVBVKzLhSUVV8dFmVJXOVvZxnUvMRbtNAdQgxB6DZb4IgCIIgCIKIoXN0AvfvOIJHj3QaTqPc78Yty6pwdmluWq+iQRAEQRAEQRAEQdiHR5bx8RXVOKM0B19//SDaRsaF9+2bCOGzL+3FZdWF+PiKaqFV5wmCIAiCIAiCIAiCmB+k8glzKuN4RkO8ULjZpNPz+BsFVtCe60H+6YydQek9Y9pBErkeEnfFsiI/+YvbFXjNi7vSUWyQarir3NMpSxm8cz9XxF0izz4m4gR+OiTppAmC4VVNdVlehFUVzYNjCbexu/8hWtoCrvnTXs4VRKQvya7L3/nYZgyFwghPBquHJwPVw2qk7vrCmjpcWl1o+jirbOyPzPX2rybTh4GJMCQWGXsyFikpkd8ZLqkuMJSuiMg4IkPin0A7xV3f234Yv9rXlrDuWpzjx0/PWQ6A3z9MpfhahHQcf46LFJQk0piTgUcPd+Lo0Bgc0glhl8wY5MnfTy3Oxnnl+QnT8MjauppMp4w71tTNGrNUZHhwdChx+31DY7m+L0PMSRhjuKAyHzJjcEkSnBKDS5bgkhgePdIZV7QoTwrmkiE5nJVfzuf6Z/bSG1VESpkmFolDA6N4oqU77mfPtfeiaXDUVnEXX+omXv93jQqKu5LUpCS7ubf61h4JhfG11w/gS2vrrU3YBFZ0B9KwmyPEB5/ejhGN5yBfXF2LS2uKkpgja3jw7GW46dkdGAyGE24zRy8ZMc/gVT9aY6iusQn8en+75v7XN5Zb8pxBS9A/X1E4V0dMl0wQqeVkeWZBEARBEARBEJqMhxX8dn8bfranlWt6T0TA5cD1jeW4orYITomGhARBEARBEARBEASwuiCAX523Av+7/TAeburQte9fm4/jjc5+fGXdAizLS37AG0EQBEEQBEEQBEEQyceu4FqRoB+rAo8pCCM+cz3IP52RbCx1X15Xj4+vqEbPWBDdYxPoGQ+iZywY+X88iNosn23HTjaywGl88KylKPK6IEvSVMCwLEUC3B2MwZGC92XyPHxxV77HiRV5mVAmxSDRf4qqIqwAdYH5cx2tghdImY4yiJMF3rlPd5FIFJH36+KJu04meH2H8gwPDmtIuwD7A9vyBepgAMh2U+hSshHpeyZbXNk9HsSQRjC3VfVXRYYXNy4ux492tViSXix29juTwb2nNdqSLi/IFojITUT6D3b3J7Vyuqt3GJc++gZWF2SlXFBjdvxIYloxtnYPYm/fcMLPc9xOjrhLW0R6SmE2zirLm/X3jUXZODp0LOF+64uyNdNNBtu6B3F4cBRFXheKfW4U+lzc70vo56vrFsT9+/WN5QgpKqRJoZwkKD+0E65Af46MQ0QRqefTparltcNhm8WJ3DZTx+E7OQL9qTTFkzSFmuSlLuxov0NpJs50c6SXIqS6PjSKg5Pv0BytR+sCPjx56SlTv6uqCmXyfxWROsBo3/Zd9SX47YHEsqSbl9gnJSTmH7zqUKuYij1jBRz0INAQrx/v1/68cyBJOSEI49DsN0EQBEEQBHFSo6oqnm7rwXe3HUb7yLihNFwSw9X1JXh/QxkyXdTFJgiCIAiCIAiCIKbjd8q4fXUtzizNwTffOCj8khEAtAyP40PP7MB1i8pwfWN5SgLfCIIgCIIgCIIgCIJIHna90y0SzJLKsBC7Ym0urCywJ2EDzNWAormAnbEQEmPIcTuR43bOe7kTr4zmuJ1YmoYLDBR4nNxtSv0efGP9wiTkZv4Q5gQLkgwidfACPdMsJtcUGSf5u3g8QZCi8kVHdvY/BidC+NGuo0LbZp3k1zJdSXZNzms7rJRKfHBROXLdLvxibyvaR8bhkSN3lNGFfaNQ8xcfkUsnMzGZoNPGzr3I9esYnUDfeIg7xrBblMlM3qEiUl7CfJ/Xw5GPjIXjywrfu7AUT7R0o3d89rsjl9cUoTzDo5luMnj8aBf+cHC6XCzb5UCRz40irwvL8zJxbUNZinI3/3FIEhxp9npQqoWGySYo0Gd4s3MA58SR8yWT0VCY60xzWSBK0uItFXlQVBX7+oenpO4yw9T/TknCC+29OK0kh5vW4hw/3lFbhD8e4iyOmSTBUbLH13aM39Kt//r+hjJ86sU9CT8v8brRPqod25dm1aMwMqeDmW6SNaMwxiBHfjCd1oaibE1x1/qigOljEEQUrSIr9oxVpTlzg7QMG4vpJoh0gma/CYIgCIIgiJOWw4OjuGdLE17lWJm1eEt5Hm5ZWoUSv9vCnBEEQRAEQRAEQRDzkY3FOfjNW1bi21ub8K8jXcL7KQB+sqcVL3f04avrFqAy02tfJgmCIAiCIAiCIAiCSClmg3MTp8tnLi7oflZpLp5p60n4+abi7KTkY2V+JrZ0DSb8/LLqQmSTsMI2SIpmDbzzaLecwCj5Xhd3m3gB8YQ2vOtNd13q4N2roTS9V+PRkO3H3r7hhJ9fU1eSxNykH7zmTVFVAXGXhRmaQabLgVuWVuKbbx7S3M7vkOGkhWmSjkj/KNl9KK64y8L6S2IMV9QW4YraIgCRRX43PfyyJekSsyn1u3FlbRHCqgpVjVxLRQUUqJN1VSSAX+T82Snu4gkRozgkfl4fOdyJl4714V0LSnBZTZEV2ZvG9Y3lmmNdHlRWxeC1ozwBmodjVhpLIP4p8rnxnU2LcM+WJuzoGQIAuCWGy2qKcOvyKu2DJoljcRZE75sIoW8ihL19w1BU4NqGFGRsnqGqKh472gWJMciMQWaR9lJiDLIU+Vtdlg+5AsJquyn0uuCSGdjk7GWkumZgk2LGTOf8mvdyyxIKPE7NxRkvqylMYo7i83JHH17v7Me3T12E+3ccxsGB0VnbOOwcFADIcDpwcGAEf2k6nnCbVfmZQuKujcU52FicwxV3JUsUpyZ5qQs72m/R/k+yWJ6XCZkB4QSntjSDL+6aq/BE7FaOh+YLG4qzcWVtEf4Up064vrEcjTkZKcgVMVfhz3cnvkdFalJF5d/nBEHMX+bXaIggCIIgCIIgBBgLhfGzva345d42wy8qNWT78ckV1ViZn2Vx7giCIAiCIAiCIIj5TJbLga+uW4CzSnNx9+ZD6B0PCe+7q3cY1/57G25bXoXLa4rA6CEvQRAEQRAEQRAEQcw77IqjEgn6+cIr+9CQ7ceX1tbBMUfkCu9dWIr/HOtFMM5q9FfWFiHgTk5gIy8AyiExmsuxEZvjD08aXmjXFgP0T4jPZSaTAg+Ju+yAFwTLk68Q9sGr89JVshePUwoDCcVdMgNW5GcmOUfpBV+oGPlnJg2zXFpThNFwGPfvODpLTlLud8PnkOFxyLbmgYiPyJVPdl0ucyowOwPVGYtqRswdg/qd8WnMyRAKmudJkADYOhYVLfKygGSsfyKE/okQfrqn1RZx18JsP3501lKEFRUKIkK0tuFxfPPNg0L7U19NjDCnIeXVWx5Zu41LJO4CIvfNj89aiubBUQQVFYVeF7KTNIchwvHRCc3Pi3z8cRjBJ6wCX37tgOY2/2/DQpxTlpekHCXm5+cuT3UWkgpjDGsKAwkXZsx2OVCb5UtyrmZzVmku/tHcia++th8DwXDcbRqy/bbng9ePs3pcUub3mNq/OtOL5sHZkrOZ8MZbViPSV9JLsuVjPLJcDty2vBr/s7V51mclPjdW5GXijc4BzTTm6jx7H2duldf2nqx8ckUNluZm4qED7RiYCCHX48S7F5Ti7LLcVGeNmGOsyMtE/uSzBEU9UTtGfy7zuxPuK9KOKaoKlzw3nq0SBGE9JO4iCIIgCIIgTiqeb+vBt7c2oz3OKjAi5LqduHlpJS6pKqDViAiCIAiCIAiCIAjDnF2WhxV5Wbh78yFdK+WOhRXcvbkJL7T34otr6pAnEJRGEARBEARBEARBEMTcwa7H0CLJNg+OonlwFF9aW29PJmxgWV4mvrpuAb6ztQmdYxExj8yAi6sK8ckV1cnLCOcEzyGHypyEgtJPbvI8/OB2PQsoEBEas/1wMAZFVaGokSDc2J+LNQKZCHvh1XnJDiw2w7UNpXi2rQdHhsZmfXbrsuq0klekAp4gSIWKNs57kJ1JCPy9ur4U51cU4KED7Tg+OgGPLOGymqKkCAKIxIh0j5ItoXJwMhWyuQKTzHu7uMJeQhuR966dNhZM0fe+Zcbw3oWl6B0P4v+9eUhzW6Pvo4uwPG+6wLJ5gC8YiULvuIvBE83w+l3ZbgcKvC54ZCnmnwyPI/JzZaZXc3/GGGrSQPwTj2Ocsl3km5/jge9ua8aRoTGE1Ygwb2ochIiM4byyPFxVX2LZ8USku3KatD1/PnQMP9h5FLLEILMT/xwSg8yAPI8L/3v64lRn01I+trQKb3QOzOpTMwBfXlefFvNRjDF8bnUN3vXE1oTbnF+eb3s+nB+/UQABAABJREFUeN04vefqtOIcvHCsN+HnNzSW60pvJh9YVMaV5qUCO9rvdJyXfmddMbyyhJ/uaUXbyDgkAOdV5OFDiyvgliX8ZE9rwn3rAz6456gYJ97iI7H8Zn87bltenZzMzCEcEsNFVQW4qKog1Vkh5jifWVVreF+R6lkFf94DiCw69KdDHQk/X52fpSNnBEGkCyTuIgiCIAiCIE4K2obH8D9bm/F8e+LJWy2cEsO76kvw/kVlyHBSN5ogCIIgCIIgCIIwT67Hibs2LMSjRzpxz5ZmjITir3wYj/8c68O7n9iKL6ypw5mltHoYQRAEQRAEQRAEQcwX7AoE1xPzI6c+5kwX55bn4fSSHLzZNYCwoqI2y4eSJAtleKFCillDAKEJBaVbw7ULy/ByR3/Cz+vTNKDcIfGD9eZavZYO3EqBgmkLL+A5PIfMXQGXE989bTF+tPsoHjvShZCqoszvxnWLyvE2Csjk9gu16uwo27oHrcqOJjluJz68pDIpxyLEYALjimTLJnjtcdjm6osx8+Yu6naaQ+T82SruEtxOljD1DJ4n7komek4N9X/F4NU7vHryA4vK8YFF5uQx6chYKIz+CW35cbF3fi4y9+v97Zqfb+katFTcxZPHAYCcbNNmAkZCCvo0ysWwjnee5gr5XhceOGMxfrqnFU+2dENRVTTmZOCGxnKsL8pOdfamKPS6ce+mRtz2wu5Z1+GDi8qwoTjb9jzwyrLeYryhODuhuMsrS1gxQ26pl1MKs5HlcmCAU9eJyPWsZFNxDgq8rkkxXmTO87n2HhweGMW2niFDaabjDAFjDJfWFOGS6kJMhBUwxqbJuJblZmB7gu97dhm9J0kQRPIReXarqKpQv215XqamuGtFvrk2jiCI1EDGAYIgCIIgCGJeMxFW8Jv9bfjJnlaMhxVDaZxRkoNbl1ehIkN71RuCIAiCIAiCIAiC0AtjDBdXFWJVfha+8toBbNURQNE3EcJnX9qLS6sL8YkV1fA5ZBtzShAEQRAEQRAEQRBEMrBLQCQqBJMZmwxoN06pAWmW2W/tkiVsSGHAHO+6JTnG66QjTWJY5zxLczPglqWE79esLkjfld4LPE50jgUTfn6NhYHVBJFqgor2O3Aiwf/pRInfjS+trccXVtcCiAQnm+2LzBesOA1zqzQQViLSP0r2vcYVD9pcf1nxbZMtO5tv1AmIYJ1MVK+lH9HxdrpeZz3zBekoN35nXTF+f/D/s3fn8XXVdf7H3+eeu2ffm7VNl3QvLS2lUCrIpuCCoIg4KCAooDIqrvgbUWDcx0FEEdBhlAHcnVFHwFFQKPtWltAt3dMmabOvN3c9vz+Sli5J7kl6tySv5+ORx729Z/skTc76/b6/Leku4wjx9juZ+ruQbPsDobjzlPlTG5g+Vdk59mXKPY+4wUxJGowg3aqzfbpp1VzdtGpuuksZ09KiHP3y3BP0yJ42be3qV77HpXfMLNHCguyUbD9ewNV4j0sXzS7TMy2deqql65hpN500V3ke17jWd7RCr0vfOLlO/7x+o8a6wk51LvasXJ9m5R7Zb+0tFYVq7AvofX95ZULrTHX42Hg4DEPeEdo7fv3kOn3k76+r7ah7faeU5U/JwEwAmc/OYcyS5LQxY77HpYtqy/T7nceGd1VmeXRZXcUEKgSQbgR3AQAAYMp64UC3vrthh3b3DU5o+dm5Pn1m2SytzqDRMAAAAAAAU1NFllc/Pn2x7t/apHveaFRkHI1m/rjrgF5u7dbXTpqnpcc5oiAAAAAAAEgv00bj76wJhHfb7RvlTEAfu/NqSvTD+j3jWiZzuw8lxlT//tJtunamTjSv09T/WzlHNz3fcMy0mmyvPraoOg1V2fPOWaX6z837Rp2+jPummEJeiTMAyOau/hRVklhOR/KCWiarRIQfZHInbaRfqoNALl9Qqb5wVA7DkGkYchqS6Rh6bxqG5uTFD3U6Hon4fjntPD41OfEHUHYm8RfzjMpCVWd79S8jnO8eLlOvL8bzo8nE72FVaV7GBXedXVWk7lBE0ZilqPXmV8ySIjFLlRMIJp8KWgaCcecp803Pn02i2QnuypS/52icBCMzUxLGprFSn0cfnl+Zlm0nOgjRNAx9c818/Xn3Af1h5wGFYjFVZXn14fmVCWsbd1Jpns6qKtJf97aPOo+VIXd1j+faMDO+g/Ep83v0m7et0O937Nemzj4ZGjpmv6WiMCPDSe06pSxfz+zvGnX6ksLUBO0BGD87++FL//qq/n7B6rjzRWOWPr+iVnkep36/Y7+6QxFJ0hkVhbp+6Uxlu6Zf/M9VC6v0H5v2jjr9w4SZYRKYfn+5AAAAmPJaAyHd/tquMW+gjiXX7dQ1i6r1ntqypD4ABgAAAADgcKZh6PL5lTq5NE9ffWGbdvUGbC+7tz+oj/2jXlcsqNRVC6vo4AIAAAAAwCTldZo6J06HoZUlueNer90OLWYC7ikU+9xaXJitNzr6jntdk0W8pgWEZiTXJO6vlXHeVl0sv+nQvZv3anv3gEyHQ+fVFOvy+ZXKcWdus/N3zyo9opPL4daU5WkJwV2YQq5aWKUbn9066vR3zypNYTVIpkQc37xmcp8XtQ+G1BeOKjIceHL0a67bqbr8rKTWgJHZOf9PdRDIO2amd/9kJCAMLxGBetNZOBaLO48rie22Z+f6NTvXr0KvS62B0FBIU8xSxNKh91HL0uzc+AFj6TCe32E7oeCp9pbyAp1dVaS/jbN9/wfmliepIulTy2Ylbd2TWUcwHHeeEp8rBZVMfXGysCRlUHBXgoOZMLXE+12eyO+Hx3TootkzdNHsGROsKj5fnAEyMuWW7vH8eWXK9zBefqepy6ZYUEtFnEBQN+09gYxl9zLVaWOHfcPTm/X55bW6dnGNPrKgSm2DIeW6ndMysOug1aV5YwZ3nVSal8JqgImZvn/BAAAAmHIiMUu/3d6iuzc2aiASHffyhqQLa8t07ZJq5bl5mAQAAAAASI8FBdn6+VlL9aPX94xrxNmYpHs379Oz+7t080nzbI1YDAAAAAAAMk+8jk4TGVXe7hLOBPWx+/rqOl3599fVaaOz51QQrwN1qvtHVWd7486zonj8AXCZKhmdQ4PRmPb2DSpqWYpZlmLDnfkPf7+kMFveOB38JqN1FYVaV1GY7jLGpSLLq++vXaivvtCgPX2Dhz4/vaJA/+/EOXQgxpSysjhXuW6nekYIqpOkMybZ3y9GN5FzvqNdsaAqAZWM7nuv7NKj+0YPYHlrZaG+tWZ+UmvAyOz89iTid2wyqczyaGv3wHGtY7r9zBItYiOhxpWCwIKVJZOz06+dzuJvrynW4oJsLSzITn5B42QYhr6yao4W5GfpV9tb1B0Mq8jrliQ1DwRHXY4g7NQr948dLDI718dgcgkStbFfzJTr2XjBXXaCKjB1xfv9SGIu53GJV1amHIGO5xzUypjvAvFOadiNApnL7t+nafOAd3C/7jYdqsiK/zxvqltenKsPzivXgw3Nx0x73+wyrS7LT31RwDgR3AUAAIAp4bX2Xn1nww41TPCh+oL8LH1xxWwtKsy8B5UAAAAAgOnHa5r67PJarZ1RoFtf2qa2QfudXDd29uuyR1/Tp5bO1EWzy2TQqgMAAAAAgEkl3+NUud+jqGUdCgqKWkOd+WKWJa85/s6RiW5UHk95lke/OXe5frO9RY/sadXuw4J0juZ2GJo1yQPI4/18U93PON/j0txcv7b1jNyGItdlakFBVmqLSqJkBCjs7g3oQ4++NuY8vzl3OeH5GWRRYbZ+fe5yvdreq0AkqjK/R7Nz/ekuC0i4PI9L3zi5Tp9+cpMiRx1gPlxXobXlBWmqDIl2vEc30zC0rCgnIbWMxhnn3NFOSA+Sw87pUaYGKCTLqtK8BAR3JaiYaSpsY58Qb78yndm57rmotkwnZHBIs9c09aH5lfrQ/MpDn13zeD3BXRlmYUG28txOdY8SFHtWVVGKK5q6YrJkGsaYoUeZsluMFzKWqHuKmJzi7aszNfw0XlmZcgw6np+ebwoOOjBZxeKEqDmO+y4AgGSx+/dpGkPD/MQ7erg5bzrGJ5fO1Ly8LP1yW7M6g2HluZ26ZG65zqspSXdpgC0EdwEAAGBS6wqG9aP6PfrjrgMTWj7bZeq6xTW6cHZZxoxGAgAAAADAQWtm5OvBs0/Qtzbs0GP7OmwvF4zG9J1XdurJlk79y8o5h0aqBQAAAAAAme8LK2YnfJ12G5U7E/jcPMft1EcWVunKBZV6x0MvqX2UYPIlhTlyOcYfRpZJ4v1843XKSYYrF1bq/z3XMOK0KxZUZWyHuYlIRh8HO+scq2Mt0sMwDC3P4KACIFFOKs3T796+Qr/a1qym/qB8TocuzPCgDozf8R6rP3PCLOW6k9tlKF6bS46V6WPYOP+fSueDdiTi+51eP7HEC8dicedx0YF5VHZ+NPF/wpkn3t9mOo4klmXJ0vTbTx7kMR26ZfU8ffrJTcf8/JcV5eif5lWkpa6pqNTn0dMXrZE0FBAUsyxFLEv7+oK66YUGyZLufGOPXIZDhjG0HzBkyGEM3T+c4fekrNajQ4OPZk7PPxcMi5fNmal9tf6vsW3M6S+29qSokrEdz4+v0ONKXCE4LvEujzP0zwSYMj72j3pFYm8OmBSzdMTgSZ9eNlPrKgpHXHY81wWmYcQ9b3JNYICmqc40DJ0/s0TnzySoC5MTwV0AAACYlGKWpT/uOqAf1e9RzyijucRzfk2JPrm0hs7LAAAAAICMludx6Rsn1+nhPW367is7NRCJ2l726ZYuffCvr+rLJ87R6ZUjP1QGAAAAAABTn9025WYSOkkbhqEvLK/VF5/desw0j+nQp0+YlfBtplrcn28aehqfXVWs9sGwfrKxUb3hoftJHtOhD84r1wfnlae+oCRKRuc/Ox0x4nVKnGqa+gf1ux375TCGfuYHvxyGIXP4swtqy5TlMtNdKjAtzPB79Klls9JdBpJovKdlpmEoalmqzvbqivmVekcKOrrF62cYnW4Hywxi5/dnunUTjXfOWJ3tVVN/cNTAubeUF8iY5L3pv7thh/6464Ach53DHXzvMKQVxbn6+sl1Sdu+32nqglmliliWwrGYwjFLkdib78Mxi3PJMdgJ5ItNwsDEePuiZIVA/mpbs+7Z2KiY9WZgUtQaCu2KSSr3e/Q/552YlG1PBmvK8vXzs5bp3k17tas3INOQzq0u0fvmlMnn5O80GQ7ujw92+N7WPTDm/IFxtB1KhHh/i5kazITUiPf7kam5nAORzI28fOFAt/b2DaovHFHrYGjC6+FPM3N8dFG1PjCv/FBgkDR0DmINv/on6fF1Q1uPntvfpVA0plDMUjAaUygaUzAWUzAaU4HHpZtWzU13mYDe6OgbM1Crb4xzq0Qfx9yZemAEMGEEdwEAAGDS2dLVr29v2KE3OvomtHxtjk9fWFGrE0vyElwZAAAAAADJYQyPJrS8OEdfe2GbXm3vtb1sVyiiLzy7Re+cWaIbTqilsTMAAAAAANOQnQ6+UvI62Z1RWaRbV8/TPRsb1dg3KElaXJCtjy+p0fz8rKRsM5Xi/dRi6UjuknTJ3HK9Y2aJXm3rlSVpUUG2Cr2utNSSTOMZ7dwuO38LyepAnqmeaunS/Vubxpzn7Ooi7j8CQIKM5/j2ySU1unRehSRLpmGkLFzIaYwdtzJWh0gkl53fgOkWsBGvX6zbYehji6r04zcaj5nmMR366KLqJFWWOq939CkUszRasvD65s6kbr/I69aXV85J6jamMjt9uyfjbjfe8S5Z31M4ZqkvPHrn/PGEoF352Gva0jUghzEURGYMh+EZGnr9wNxyXT0J9yHz87P07VPmp7uMKe3Rve16qqVT4VhMoailUCymcNTSi63dcZcNpzggNd7mkjEYACaPePvMZNy7m+r+a8s+PXcg/r4gnul2zp/JSnxulfjc6S4j4V5v79V/bt435jxnVxXp1BkFKaoIGJlpSJExDldjHcvGsyu1bDwPdDmmW5Q6MPUR3AUAAIBJoy8c0d1vNOq321s0kXENfKZDVy+q1gfmzpCTC1wAAAAAwCRUkeXVj09frPu3NumeNxrH1eHhf3e36uXWHn3tpLk6oTg3iVUCAAAAAIBMY7fvnDOJHXnOrS7WWVVF6hwMyzCkQo8rZaESyRav81mK+1IeIdvl1Nryqd0pJhktQOzcdqvv6FXdFAies2tPbyDdJQDAtDKe45vDMOR0GLIX15Q4ZpzNTbeQy0xi5zx7ugUoFHhcqs72yjQMmcZQiIHDMGQ6DJmGoYosjy6fX6lIzNKDDc3qjwwF+szK8ekzy2ZNifO+LV39Y04PRifSOhup4nea+n8nzj4mFMoY/p02ZGh2rj/dZY5bvPsVyTqWxDuGjSe4KxKzFLUsRQ8tcuSywRh/WxjZps4+/Xl364SW7Q1HElzN2KJxbm4RDjR97egZ0LP7jz9gCkfKdiUm/mG6nfMj9Txm/LsXu3oCBHch7Ybuk4x+PhMd41THMY77befPLNGfdo19fucm8BSYcgjuAgAAQMazLEt/aWzT7a/tVkcwPKF1vLWyUJ9ZNktlfk+CqwMAAAAAILVMw9Dl8yu1pixfNz3foF3j6DDXNBDUtY+/oQ/Pr9TVi6oYuQkAAAAAgGnCbv8cM8mNxU3DUPEUHFX++QNjd0772952ff3kFBUzDSUjAC5ko2N1VzC1nWQnAyPFgTEAMJUV+9yqy/PLMIy4YTvp2vvGG0A1ks700mnOzu/EdOsnesnccl0ytzzufFcvqtYH5pVrb9+gHIahuXl+Ag+Qcq+09WhXb2A4BNpSzBrqYm5ZlixJpT633lpZlN4iEyTeNUSyjiTx/q7H6rh/tHhXj+Pp6I/pxW0j7GQ0qc5HjReiR3DX9LWvbzDdJUw5/9jXrmf2dyZkXbQMRLK5bbQ/nSoDuGByi3f+b41xrjOeX+FrFtXEDe5yHcc5IIDMRHAXAAAAMtrOngF955Wderm1Z0LLV2V59LnltTqFZHYAAAAAwBQzPz9LPz9rqX70+h79enuL7eVikn62ZZ+e2d+lm0+aq9pJOOouAAAAAAAYH7udROlkNzEDkWi6S0CCVWZ55dDYHbDPqCxMVTkAgGno8JChd/75RbUOjj7oabo6wZpxNhsv4AHJYy+4i3P/0WS7nFpQkJ3uMjCN/WnXAf3v7rE7e//xvBOnxIDW8e5DJOtYEq+rvDWOyLCxOvlL4+voj+nFfRwpmlkuM4GVxPeHXQfGnB4v1B5TF4E8iXfPxkYNROIPKmAH5/xINo+NAKLpFhqNzBT/Htbo08azLw3bGBTmeM4BAWQmgrsAAACQkQKRqO7dtFcPNDRP6IGb22Ho8vmV+tD8Sls3gQAAAAAAmIy8pqnPLq/V2vIC/euL28bstHG0LV39uvzR13T90pl635wZNKQCAAAAAGAKs3vZ76SxOCBpqAPsvPwsbenqH3F6ZZZHtTm+FFeVXudWF8cdQKDAQ9N0AEiGeF3+0nUG94F55Xp7TYmcDkNOw5DTYcg87NXloO1muth57kcn/unnn+aV64GG5lGnXzCrNIXVYCwRG23nt/cMTIngrni7omRlQMbbB47Vcf9osTjzEpKO0bgneK6U7TI1Pz8rwdUAE2MvMDbpZUwpXaFIwtbFzx7JZqfPJpneyAS94bEH4Hm9vVcXzS4bcdp4zthCNi4kuF8GTD38VQMAACCjWJalx/d16AN/fUX3bW2aUGjXKWX5+sU5y3X1ompCuwAAAAAA08Kasnw9cM4JOquyaFzLBWOW/u3VXfrUk5vUGgglqToAAAAAAJBuhs04BzqTItPMSGNH9E8tmznqKOzXLK6ZdkH4Cwuy5RujHc7q0jw56XACAEkRrxllujpjl/o8qsvP0uxcv2pyfKrI8qrM71GR1618j0tZLjM9hcFWZ7HRznMwdS0vzh1z+sqSsadPR4sKxg7GOW1GQYoqOdZU+ROOdx9iIn0J7IgX3BWzud1H97ZrZ29gzHmm2aUjxsE1wb4up80oIIATGcPOtYjde9OpFu84nw6WZakrmMjgrsz82WPqcNvYCYRj8eLIgfTzjnFeNp5nQSEbv+8TDW8FkLn4qwYAAEDG2Nc3qBue3qwvPLtFLQPj7yxc6nPrW2vqdNvaBarK9iahQgAAAAAAMlee26WvnzxPX101V1nO8XWEeO5Atz74t1f16N72JFUHAAAAAADSyW6YA8FdyDRXLKgcc7p/nPfBxmNlSZ6+uWa+ag5rg1Lu9+irq+bqbdXFSdtupnI6DH18Sc2I01wOQ9csrk5xRQAwfVgaOzyEMzgczc5p/XQLIYW0trxAa2fkjzhtZUmuzqoa3yBR08H5NSVjTn97TZKuC2xkRk2Vv+F430aScrvihhfaDe761oYdcedxcKTGKDwTSF+tzvbqc8trk1ANMDF2QrkydS/4oflj33d8/5wZKapkyCttPVr3P88lNLQyU3/2mDo8NkIoI8k6oQPG4YyKwjGnX1BbOuq08Zyy2Qmqc5OkDkw5znQXAAAAAASjMd2/tUk/37xXwdj4b8aYhqFL55XrqoVVSW2QCQAAAABApjMMQ+fPLNGK4lzd8uI2vdzWY3vZnlBEX35uq85vLtFnl89StovHSAAAAAAATBV2+/M6J9BhEEimaJxmJMnu33B6RaHWzijQgUBQwWhMNTm+aR1wd/GcGQpGY7pva5N6QhFJ0sxsr/552SwtKcxJc3UAMHXF6+M6VcJbkDhrZxTo+6/tHnMe+olOP6Zh6JbV83TXG4364879CsYsuRyG3jGzRB9fXCOnI36n++nm3OpiPdDQrOaB4DHT5uT6tLa8IA1VDZkqf8Lxrq8SGV5yuGVFufriitlyGJLDMGQOvx587zLs/T14TYfitcrgVsvk8bbqYv2lsW3U6SeV5CV0ey4bYSfXLKrWC63dMjR0fL9wdhl9ZpBR7AXGJr+OiVhZkqtCj0sdwfAx0xySzkxxqGnUshSeQJ+6sUzn+5hIDbeNY1koGj/ICEi282qK9Y+mjhGnzc31a25e1qjL2gmpPChkYz/u4tobmHLocQEAAIC0eqalU997dZca+wYntPyK4hx9YcVszc71J7gyAAAAAAAmr/Isj374lkV6cGuT7nqjcVyjlj20p1Ub2nr01VVztaIkN4lVAgAAAACAkVy/fqP6whHFLMmSFLMsWZYUk6WYJV21sErnVhePa50Om43K6ciDTBOLc18rFUElToehiixv0rczGRiGoQ/Nr9R758zQ3r5BGYY0O9fPvgMAkixeF1f2wjjawbDRsQJvHBy/p6Vsl1OfW16raxdXKxCJyed0TJsBnR7b167vbtipmGUpJsmyrOHr7qFXh2Ho7xesPmKZPI9L/3bqfH3thW1q6B449PniwmzdctK8tIbnTJW/4b/tbR9z+mid649XgdepV9t6ZDoMmYYhhzF0T+TQl8PQvHx/3GtBb5ywihKvS2vK8hNYOZLprZWFYwZ3nVlVmNDtlfncWlOWJ7fDIbfpkNvhkMthyGMOvbpNh65cUKmPLKxK6HaBRLJzPLJ7bzrV8twufWtNnT791CYNRN686jIk/fOyWVpRnNp2c8m4v0bIM5LNYyO4K9GBdMBEnFFZpI8sqNS9m/cd8XmJ16XvnDJ/zIGNxhPEG7YRVOcm2ReYcqbHnTUAAABknKb+Qd326i490dw5oeULPC7989KZOq+mmBuJAAAAAACMwBzuRHdyWb6++kKDdvQEbC/bPBDUdU+8ocvqKvSxRdW2RkYDAAAAAACJsaWrX92hyKjTe8eYNhq7bcAJ30GmseIEd5n8yqaF32mqLn/0EegBAAmWAUGWmHziBaBOldAfTEy2y6lsV7qrSK1wNKaOYHjMeT786Gu6amGVTq94M5xnbl6W/uusZXqlrVc9oYgKvS4tKcxO6r7XTrTBq209CkSichiGTEPDr0NfCwuy5E1jqNhkEIjE9MgYAU2SdEZF4XEHd51XU6IFBdnjrg/psXZGgRYXZuuNjr5jps3K8Y07SD+eE0vydGJJXkLXCaSanaNhJp92nlCcq/8570T9fsd+tQwE5Xeaek9tmWbm+FJeSzLuzXPvFMlGcBcmk2sW1+ic6mI9tLtV4ZilmTk+vWNmSdzf4/HsnkM2ft9dtMcGphyCuwAAAJBSg5Go7tvapP/ass/WhejRDEnvnV2maxfXKMfN6SwAAAAAAPHU5WfpZ2cu011v7NGDDc22l7Mk/dfWJj3T0qWvrJpDY1IAAAAAAFIkXshW/LGaR2KvVflYI0oD6RCN07SEwAkAwHQQ7/yPoyGOZllW3OAfOvFjurFz7bClq1994WPDsg3D0IqS3GSUNSK3jT/Qn2zaO+q0X5+7PC2BI5NJ1EY/Bjv3SOIFpAWiE7uLg/Rwmw59e818fePl7Xq6pevQ5yeW5OrGFbOV7aL/CnA0O7fmMv20M8/t0pULqtJdhu3BN8aDvCQkm9thJ7iL8yFkjtm5fn1y6cxxLeMYx5HMzu+7m2exwJTDlSIAAABSwrIsPd7Uoe+/tlvNA8EJrWNRQZa+sGK2FtJRGAAAAACAcfGYDn1q2SytnVGgm1/cpgOBkO1lt/UM6CN/r9cVCyp15YJKuWw0tgAAAAAAABPXGTy2k/Dh/q+xTRfPmTGuddptA24SgoQME7PG7l1GcBcAYDqIczi01Vke04udbtFGxkcoAIll99ohE66LP7Fkpp5u6ZJlSZYsWdbw37VlKWxZCkTG/iufTP3AnYahSLwDXRJEbWzTzu+C1xy7/cRgNGq7JmSGEp9bt61dqF09AXUGw8pxm5qbl5XusoCMZSfMxMiAY+tkkIz7nP9oatcH5pUnfL3AQZ4450KSFCK4C5PcePbPoTiJiYYy45oTQGIR3AUAAICk290b0Pde2annDnRPaPlcl6nrlszUBbWlXJgCAAAAAHAcVpXm6YGzT9B3X9mh/2tst71c1LL0H5v26ommDt20aq7q8mmUCAAAAABAuuztGxz3Moaku09frC8/t1Xtg+FR53NOpt69mBaWFefo2sXVilpDndWjlqWYNRToFbUsZbnMdJcIAEDSWYoTZJmiOjB5xAs/lSSTU39MM3aboGdCOHCBx6WH3rFqxGkbO/p05d9fH3P5ydTe/lPLZup7r+4adfqVCyqTsl07wV12bpHEDe6KE7KGzDUr16dZ8qW7jEljht+d7hKQLjb2lZPnqJReyTh+pz4aE9ON28aFZTjKbyImt/E8Og1Hxz7/dzsMAi2BKYjgLgAAACTNQCSqezft1S8amic8Es47Z5bok0tnqsDjSnB1AAAAAABMT7lup25dXafTytv0nQ071Be2P8JrQ/eArnjsdX1kYaWumF8pp4OuIAAAAAAApFque/xNPw3D0PLiXC0qyNb65s5R53PSWBwZZklhjpYU5qS7DAAA0ipu80vO4XAUe4E0/N5gerH7ZDvTQ6+m2t/3KTPy5X7dUCh27PflkHRaeUFStmvn52jnd8HvNOUzHfI6HfKapryH3g/9ex6DomGK+OC8cj3Y0Dzq9GsW1aSwGmQSO8fXSXRYSqtkjKnhMxn0AMnlsdF+NBQjyBST23h2zyNd1xzOFSf4F8DkRHAXAAAAEs6yLP11b7t+8NoutY4xUu9Y5ub69fkVtVpenJvg6gAAAAAAgCS9rbpYy4tydPOL2/RSa4/t5aKWpZ9s3Ksnmjr1lVVzNC+PhqYAAAAAACTSicW5erlt9Gv1jy+eeEe4SJwG42YyegcBAADguMTr4kqXPxwtzmm/pMkV7AMkgmHzdz6TA62f39+lF20828/08LHDVWf7dOOJc3Tzi9uOmfbJpTOTFuQctbGftPNzvHn1vARUA2S+t1YW6ZcNzSOel2a7TJ1clpfympAZ7BxfjXFFnkxfJV63PnvCLDkMQw7DkGlI921pUjAWk6Gh4JiTy/LlczpkWUNt+J5u6VTzQGjUdV5WV5Gy+jE9uW2EEIXtXKACGczutaQkdQbH7ks9noGWAUweBHcBAAAgoTZ39un7r+3ShrbeCS3vd5r62KIqXTxnhpw2UtcBAAAAAMDElfk9+uG6RfrVtmbdWb8n7mhPh9vS1a8rHn1dVy2s0ofnV3AdDwAAAABAgqwqzRs1uMtpGDqheOKdVqPW2Nf+mdxBGQAAYNqKcw7HKRyOFovzOyNJZPZiurH7NDuTA62/+OxWDUTid/TO4G9hROfPLNGCgiz9sqFZHcGwct1OXTxnhhYWZCdtm3b2k5MpAA1ItmVFOfrE0pm64/XdR3zuNAz96+p5KvK601QZ0s3OnnKyHZfSJc/j0vvnlh/x2QW1ZWMu82+v7NRvtreMOM3jMLS4MHnHUkCyFwh9TlVRCioBMsM9GxvTXQKANCC4CwAAAAlxIBDUXW806qHdrZpoDvr5NSX65NIabtoDAAAAAJBCDsPQpfMqtLo0Xze90KBt3QO2l41Ylu7e2KjHmzp006q5mpPnT2KlAAAAAABMD/9UV64nmjq0uav/mGmfX1GrfI9rwuuOxOmYSqdUAACAzPCXxjbd88YexSwpGGfgFcNWd3lMJ3bG6rHTwRqYSubk+XXNomrdHacjtZnBfxp2g08m47X97Fy/vrxyTsq2l+U0ta68QJGYpahlKWYNvUYtKTr8mcdk8DLgcJfVVejksjz9fvt+9UeiKvW5dfGcGSrze9JdGtLIzrFp8h2VJo+PLqzS0y2d2tcfPGbal06cI5/TTENVmG7WlRdofXPnqNNXl+WnrhggSebnZ2nLCM9tDyryTvzZLYDJj+AuAAAAHJdAJKr7tzbp/q1NGozGJrSOujy/Pre8VicU5ya4OgAAAAAAYNecPL9+duZS3btpr36+ZZ+i40jm3tzVr8sfe01XL6zSZXWVcjJUIgAAAAAAE+Y1Td1+2kLdv7VJf9p1QKGYpZpsry5fUKkzK49vZPJonB78Jtf0AAAAGaE/HNXeETpfj2QS5rMgyWJxAnulyRnsAxyPiiyvLqurULbLVNSyhgObNBzWZB0Ka6rM8qa71FHZDdzj7zu+mhyf/u3UBekuA5h05uVl6Ysnzk53GcggdkKECYxNnjyPSz9ct0j3bt6rR/a0KRKzNCfXr48srNJZVcf3LAGw65K55Xq6pXPE9qbvnFmiguMYjAbIFGvK8scM7irk9xyY1gjuAgAAwITELEsP7W7VXW/sUetgeELryHWZunZxjd4zu4wHhAAAAAAAZACXw6FrFtfoLRWFuuXFbdrRE7C9bDhm6cdvNOqxfR368omztaAgO4mVAgAAAAAwteV7XPrk0pn65NKZCV1vJE4HfifP7gEAADLCePJUHckrA5NU1EZwF5m9mI7cpkPvn1ue7jImzO7+noAUAECq2DnkcFRKroosr/5l5Vz9y8q56S4F09RJpXn68olzdPtru9QTjh76/OyqIn1hBWGPmBosjX2fhWMdML0R3AUAAIBxe/FAt37w+u4xU6LHYki6oLZU1y2uUT5p0gAAAAAAZJyFBdn6+ZnL9B+b9uq+LfsUG8eyW7r69ZG/v65L51Xoowur5HWaSasTAAAAAACMTzQ2dsNyk977AAAAGWFcoSsEtOAocU77JRHsA0xGhs2/W5M/bwBAitg5p1xcyOCPwFT3zlmlOrOqSM+0dClmWZqT59fsXH+6ywISJl4+ut1rNQBTE8FdAAAAsG1TZ59+XL9Hzx3onvA6Fhdm6/PLa7WwgBuvAAAAAABkMrfp0HVLanR6RaFueXGbdvYGbC8btaT7tzbp7/vadeOJc3RSaV4SKwUAAAAAAHZF47QsN2lYPiGmYcT92QIAAIyHI0nzYnpo6h+MOw+/N8DkYzdrm1BuAECq2DniEN4DTA9+p6mzqorSXQaQFPGeAB68BDunqkh/3ds+6nzlfk/iigKQMQjuAgAAQFy7ewO6+41GPbpv9IvGeAo8Tn1iyUy9Y2YJo3QBAAAAADCJLCrM1s/PWqafbmzU/VubFBvHsvv6g/rk+o16x8wSfWrZTOW5XUmrEwAAAAAAxHf36UsUjsUUtSxFYtah14g19D6fa/cJ+dzyWn17w45Rp59fU5LCagAAwFQwnnaWXpMIJhxpQ1tv3HloywtMPnb39vx9AwBSxc4hh+EOJqaxL6DNnf3qj0TVF46qLxxRf/jN936XqZtPmpfuMgFgWojFGbzn4OHwnKriMYO73lNblsCqAGQKgrsAAAAwqv0DQf3Hpr36390HFJ3gnVLTMPS+OWX66MJq5bg5/QQAAAAAYDLymA59YulMnV5ZqFtf3K5dvYFxLf/n3a16uqVLN5wwS+dUFcmgoTAAAAAAAGmR5TIlmekuY8pZVZIrhzRq4PnqsrxUlgMAAKaA8TxK8Tk5v8PR4jf6NXleB0w6dgO5iHNMrXc99JJiliWHYchhSIaOfP3npTO1rqIw3WUCQFLYOTLFCzvByJ5s7tL3X9s16vQCD4NwAECmONgmenVZnmbn+rSj59g21vlup86rKU51aQBSgOQEAAAAHKMrGNZ9W/bpN9tbFIpN/AbpW8oLdP3SmarJ8SWwOgAAAAAAkC5LCnP087OW6icb9+rBrU2jdkYdSWcwrK8836A/7z6gzy2vVXU29wsAAAAAAMDUUJPj0/VLZ+r213cfM+3MykK9vZqG+AAAYHzshK5cu7haA5GoKrI8Sa8Hk4udpr8OcruAScdOcJdpiIG0Uqx9MDTmIOkD0fG0rACAycXOsYnYronJdo0d0NwfjqSoEgBAvPssB4+GPqep756yQF96dosaugcOTS/3e3TzSXNV5uceHjAVEdwFAACAQzoGw3qwoUm/3d6iwHE8IKrL8+tTy2ZpVSkjxgIAAAAAMNV4TVPXL52pMyoKdcuL27Snb3Bcyz+7v1sf/Our+vD8Sn14fqU8JuP9AgAAAACAye/SeeWqzPLq/oYmHQgE5TNNvXd2md5dW0anaQAAMG7xzh8ckq5cUJWaYjDp2AlHsBOyACA9/rKnVf+7u1WWJcVkDf1NW0MBUfHwt5168Trx0yICwFRm56hjkdw1IVlxgrtCMUuhaExu2t4BQNKV+dxaWJB16Nw/ZlmyLMmSpZilI0L1q7K9+q+zlumFA91qGwwry2Vq7Yx8OR3sr4GpiuAuAAAAqH0wpPu3Nun3O/Zr8DgCu4q9Ll23uEbnzSyRyUM/AAAAAACmtKVFObr/7BN076a9+q+tTYqOo5VVKGbpp5v26pE9rfrc8lqdMqMgiZUCAAAAAABJ+sPO/RqIxGRZlmKSLGuo829suGH5yaX5WlSYne4yJy3DMHR6ZaFOryxMdykAAGAKcMRpgjnxlp6YDiwb0V008wUy1wut3Xr+QPeEliW4K7UO3lsZC/8nAKYyw0Z0V8xWrCyOlu0cO7hLkvrCURUS3AUASffBugp9sK7C9vyGYWh1WX7yCgKQUQjuAgAAmMZaAyH919Z9+p8d+xWMN9TLGDymQx+qq9BldRXy2bgxCAAAAAAApgaP6dB1S2p0dnWRvvHSdm3s7B/X8nv7g/r0U5v11spCfWbZLJX5PfEXAgAAAAAAE3L3xka1D4ZHne53mgR3AQAAZAhbHeAtizAQjMxGk2B+c4DMNRiZeDwjg2+nlp0eGPyXAJjK4gUOS9I4xoLEYbJd8SMg+sIRFXpdKagGAAAAoyG4CwAAYBpq7g/q/q379MddBxQ6jsAu0zD0ntpSfWRBlYp97gRWCAAAAAAAJpN5eVn66VuX6tfbWnTXG3s0GB1fQ+K/7+vQsy1dumphlT4wr1wuByMBAgAAAACQaPGuto+j+QAAAAASzE4H+Jhlbz5MP3ae1NkJhwMw+Zj8aadUyEbbiMa+wRRUAgDpYSeckNvOE5PtMuPO0x+JpqASAAAAjIXgLgAAgGlkU2efHtjapMf2tSt6nHc+z60u0scWVas625eY4gAAAAAAwKRmGoYunVeu0ysK9O0NO/Ts/u5xLR+IxvTD+j36464D+tSyWVo7I18GQ88CAAAAAJAw8a6zLYsuVAAAAJnCYSNUyZIlEb6EEeS64ncX8zkZSAfIVMdzde7gGXtK2RnUrCsYTkElAJAedsJgY9x3nhA7A19u7uzXwoLsFFQDAACA0RDcBQAAMMXFLEvPtHTpgYYmvdTac9zrO3VGvq5bXKO6/KwEVAcAAAAAAKaaiiyvvr92of7S2KbbXt2lrlBkXMvv6RvUZ5/erDVlefr0slmqzfUnqVIAAAAAAKaXeF2o4nc1BQAAQKo4bOSuxOj/jlF8YF65PjCvPN1lAEgDgrtSK9ftVI7LVG84Ouo851YXp7AiAEgtO9ctmJgSn0se06HgGCGRiwsJ7QKAVHh0b7v6I1FZlqWYNRSmH7OG+m7HLGlZUY4WsU8Gpi2CuwAAAKaoUDSmRxrb9ODWJu3sDRz3+pYV5ejjS2q0ojg3AdUBAAAAAICpzDAMvb2mRKeU5etH9Xv0h10Hxr2OZ/d365/+9qreO3uGrl5UpTy3KwmVAgAAAAAwfcTrvGtZJD8AAABkCsNG8ArnbwBgX2NfQF98ZstwJ2spalmHdboe6nD9w3WLVJPjS3epx8VJgEpKOQxDK0vy9I+mjhGn+52m5uUxYDqA6S3GdcuEOB0OnVSSpydbOkecnuU0NSePATEBIBV+VL9b+/qDo07/+JIagruAaYzgLgAAgCnmQCCoP+w8oP/euV/tg+HjXt/igmxdtbBKp87It9UQBAAAAAAA4KA8j0tfXjlH75pVqm9v2KGG7oFxLR+1pF9vb9EjjW26ZlG13lNbJidDNQIAAAAAMCHxrqjpPgUAAJA57DwOiSW/DACYMsIxS9t7xh4M+xPrN+o3b1sur2mmqKrEixfajcS7bnGNXmrtVm84esy0L6yopY0DgCnNznGH+84T97HF1XqptVuB6LFXf59bXiuT4z4ApIQR5ykrIZXA9EZwFwAAwBRgWZZebuvRb7e36PGmDkUTcJ23rChHVy2s0smleQR2AQAAAACA47K0KEc/O3OZfrejRXe90aiByLENVsfSE4rou6/s1G+3t+gTS2p0WnkB9ysAAAAAABineP1EY7QpBwAAyBiOuLGrdAoEgPGws189EAjF7ZCd6QjuSr1ZuT7dftpC/bi+US+0dkuSKrM8unphtc6rKUlzdQCQXPkep757ynw5jKEjqGEMHXMNY2ggCYdhaFaOL91lTlrz87P072sX6Iev79EbnX2SpDKfW1cvqtb5MznGAECq8IwVwFgI7gIAAJjE+sIRPbynTb/b3qKdvWOPAGTXiuIcXb2wWitLcukACwAAAAAAEsbpMHTJ3HKdWVmk21/bpb/ubR/3Onb2BvS5Z7ZoeXGOPrlkppYW5SShUgAAAAAApqZ4bQAs0aocAAAgU9hpvkluFwDYF6+j9UHmJG8/P9nrn6wWF+boh29ZpO5gWJKU5XLKafeXDgAmMa9p6i0VhekuY0o7sSRP9565VPsHgpKkQq9LLocjzVUBwPQSLyDZ4iYdMK0R3AUAADDJWJalzV39+tOuA3p4T6sGIrGErHdVSa6uWlilE0vyErI+AAAAAACAkZT43PrXk+t0QW23vrthh3b3DY57Ha+09erqf9TrjIpCXbe4RrNyGZkRAAAAAIB4QtGx2xf8dONenVNVrKpsb4oqAgAAwGjidQiUpBjBqwBgm539qiSZkzx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XvHhxtWrVSjVr1tR9992ngIAA3blzR2fOnNGePXu0bt06mw7Cjz/+WC1btjRj627z888/2zyUxt/fX40bN9ZDDz2kChUqKDQ0VCEhIUpMTFRcXJzOnTunAwcOaOvWrbp165ZNOXv16qU33njDmUsAcI/hbLdu3bp1Gjx4sE2/SBUvXlyPPfaYatWqpUKFCik8PFyJiYm6ceOGzp49q40bN+rgwYNWb0oLCAjQN998owoVKph1GQDuATwg6pg1a9bo9ddft7ouX758atGiherUqaOyZcsqX758unv3ri5duqSDBw9q9erVunz5stU8nTp10tixY03YOYB7AWe7fRjcBSA34Gy3LjsHd0lSx44d9e6772ZbfQC5E+e77bJrcJf05wPf8+fPV2BgYLbUBwAA7pGWlqaJEyfqiy++MDWvr6+vxo0bp+eee87UvACQmyUnJ2vr1q1au3atNm3apMTERJfUKViwoHr16qWXX35ZXl5eLqmRlcTERL311ltav369qXlDQkL00UcfqXHjxqbmNRITE6NBgwZp7969puYtWrSoZsyYoWrVqpmaFwCc8eWXX2rcuHE2r3fH4C56inX0FADulJmZqbVr1+qTTz4xZeh7VrZs2WL6g+z0E+voJwBcJSMjQ3PmzNGnn36qtLQ0l9UpWLCgPvjgAzVq1MhlNSR6ii3oKcC9Jzk5WcePH/97QFdkZKTOnDnj8IDfnHDvH+e9ddlx3l+8eFH9+vXTqVOnTM17//33a+bMmSpVqpSpeXMCBnchT1i7dq0GDx5suCYsLEzDhg3Tc889J09PT4vr4uPjNWvWLM2fP9+wUQUHB2vlypUqWbKko9t2q9jYWD311FOKiYkxXOfv76/evXurU6dOyp8/v9W8ycnJ+v777zV16lSrUyw9PT21dOlS1ahRw669A7g3cbZbd+HCBbVp08bqTWWlSpXSiBEj9Nhjj1nNeeXKFU2aNEnr1q0zXBcREaHly5crODjYrj0DuHfxgKj9Ll68qOeee85w+KSXl5e6d++u3r17G57JGRkZWr58uaZMmaK4uDjDulOnTlWLFi0c3jeAewdnu30Y3AUgN+Bst87WwV0BAQGqVauWqlevripVqqhEiRIqUqSIgoKC5OHhodjYWMXExOjw4cPau3evNm7caPPblQYNGqT+/fs7eykA7iGc77YzGtxVpEgRVa9eXRERESpTpowiIiJUoEABBQcHKygoSN7e3oqPj1d8fLwuXbqkY8eO6bffftMvv/yipKQkm+o3b95c06dPN/GKAABATpKUlKQ+ffpo586dLqvRp08fm14KAwB53fTp07VgwQIlJCS4rWblypX1r3/9S+XKlXN5rZiYGHXr1k3Hjx93SX5PT0+NHj1anTp1ckn+/3ThwgV17drVppeROcLPz08ff/yxHn/8cZfkBwB7XL16VS1btrSrP7l6cBc9xXb0FADucPnyZQ0fPlx79uxxaZ3NmzeraNGipuWjn9iOfgLAbMnJyXr99de1ceNGt9Tz8PDQW2+9pa5du7okPz3FdvQU4N5w6tQpDR06VKdOnTJ1OGN23/vHeW87d573hw4dUu/evV328tOwsDB99tlneW7ejOUJF0AucefOHY0fP95wTdmyZbV8+XI9//zzhoNdpD+HtgwdOlRz5841fJtxfHx8rnqr/dy5c60O7YqIiNCyZcvUr18/m4Z2SX8e9B06dND333+v+vXrG67NyMjQlClTbN4zgHsXZ7tt3nrrLatDu5599lmtXr3apqFdklSsWDFNnTpVM2bMkJ+fn8V158+f17Rp0+zaLwDYy9PTU4ULF87ubWSbd9991/DB/cDAQM2bN09vvPGG1UGKnp6eat++vZYvX66IiAjDtePHj7d5YAAA2OteP9vtVaxYsezeAgBYxdn+/0JCQvT8889r3rx52rNnj+bNm6fXXntNTzzxhCpXrqzw8HD5+fnJ19dXhQsXVqVKldS+fXtNnjxZv/76q00/20t/PnS4b98+N1wRgHsZ57tUqFAhtWvXTpMmTdKGDRu0ZcsWffrpp3rzzTf1/PPPq1atWoqIiFDBggUVEBAgHx8f5c+fXyVLllS9evXUrVs3ffLJJ9q+fbvGjh2r8PBwqzV/+uknrVixwg1XBwAA3C0lJUX9+/d36dAuSZo9e7Y+/fRTl9YAgNxg//79bh3aJUnHjh1Tu3bt9PPPP7u0zp07d9S9e3eXPcwi/Xm/77vvvqvvvvvOZTWkP18y6cqHWaQ/H14dPHiwtm/f7rIaAGCrsWPHur0/GaGn2IeeAsDVNmzYoGeeecblQ7vMRj+xD/0EgJnS0tLUr18/tw3tkqTMzExNnDhRCxYsMD03PcU+9BTg3hATE6Njx46ZOrQru3He28dd5/3x48fVs2dPlw3tkqTY2Fj17NnTpf/ts4N3dm8AcNb06dN18+ZNi/FixYpp4cKFKlKkiF15GzVqpBkzZqhHjx5KT0/Pcs3WrVu1cePGHD+NNikpSV9//bXhmoIFC2r+/PkqXry4QzUKFiyo2bNnq3Pnzvrtt98srtu7d68iIyNVrVo1h+oAuDdwtlu3evVqHThwwHBNhw4dNG7cOHl4eNidv1mzZpozZ4769u2ru3fvZrnmiy++UNu2bVWpUiW78wPA//Lw8FCpUqX0wAMPqFq1aqpWrZqqVKmiyMhIde7cObu353YbNmzQtm3bLMa9vb01a9Ys1atXz668JUuW1KJFi9ShQwddu3YtyzU3btzQ9OnTNWLECLtyA8D/4my3T6FChVS1atW/v18PPPCAChQooIoVK2b31gDgb5ztWatRo4ZefPFFtWzZUr6+vg7lyJcvn3r16qUWLVpo8ODBOnLkiMW1mZmZGjlypFavXi1vbz7qA+A8zvf/V6ZMGT300EN64okn9OCDDzr09/X/FRwcrE6dOqlly5YaNWqU1q9fb7j+o48+0lNPPaWAgACnawMAgJxjwoQJhp/9/KV48eJq1aqVatasqfvuu08BAQG6c+eOzpw5oz179mjdunVWX8Ayffp0lS1bVi1btjRr+wAAGyUmJuq1117TpEmT9Mwzz5iePzMzU2+88YaOHj1qde3999+vFi1aqHr16ipatKh8fX11+/ZtnTx5Ujt27NCGDRuUnJxsWOudd95R6dKl9dBDD5l5GZL+HGrZt29fmx5mqV69upo3b65q1aqpUKFC8vT0VGxsrI4fP64tW7Zo69athg8tpaSkaODAgfruu+9UunRpMy8DAGy2evVq/fLLL9m9jb/RU+gpAHKWr776SuPGjVNGRkZ2b8Uu9BP6CYDs9cEHH9j02YP0533KjRo10kMPPaRSpUopLCxM/v7+unPnjmJjY3Xs2DEdOHBA27dvV0pKitV8kydPVtmyZdWkSRNnL0MSPYWeAuBewXmfM8/7W7duqXfv3rp9+7bhOg8PD9WtW1ePP/64qlSpovz580uSbt68qaNHj2rjxo3au3evMjMzLeaIi4tT7969tXLlyr+/PrfzyDS6YiCH++OPP/TYY48pNTU1y7iXl5eWLFmiWrVqOVxj5syZmjp1qsV4pUqV9P333zuc3x3WrVun1157zXDNZ599ZsovSNeuXdOTTz5pcciLJHXr1k1vvfWW07UA5E2c7dZlZmaqZcuWOnv2rMU11atX19KlS+Xl5eVUrS+//FLjxo2zGH/sscc0a9Ysp2oAuDfs3r37vx70LF68+N8Pgj7wwAOqWrWqQkJCrH7d/3ruuec0adIkl+w5Oz399NM6efKkxfgbb7yhXr16OZx/z5496tKli8UP+H19fbVp0yYVKlTI4RoA8j7Odvv85wCusLCw//peVatWTUWLFrX6df+rePHi2rRpk+l7BXDv4my37j//rtS4cWP16dNHDz/8sKk17t69q65du+rQoUOG6yZMmKB27dqZWhtA7v++ewAAmkJJREFU3sT5nnOkp6dr2LBhWrVqleE6zngAAPKWtWvXavDgwYZrwsLCNGzYMD333HPy9PS0uC4+Pl6zZs3S/PnzDR/kDA4O1sqVK1WyZElHtw0AuVrXrl21c+dOq+sKFCig2rVr64EHHlCFChVUvHhxFSpUSAEBAUpNTVVsbKyuX7+u/fv3a/fu3dq6davFF0b+Jx8fH82dO1f169c343L+9vnnn2vKlCmGa+677z6NHDlSzZo1M1x348YNffTRR1q+fLnhumLFimnlypUKCwuzd7uG3n33Xf373/82XFOhQgWNHj1atWvXNlx38eJFvf/++1YH4lStWlVLly51+AUMAOCo2NhYtWzZ0vClxpZs3LhRJUqUMH1P9JSs0VMAZIfFixdrwoQJVtd5eHjowQcfVL169VSjRg2VKlXq799fMjIydPv2bd25c0eXL1/W8ePHdeLECR08eFBRUVH/yLV582aL96vZg36SNfoJAHfYu3evXnnlFcPBGNKf5+Zrr72mVq1a2XTe3LhxQ0uWLNG8efMsPt/5l8KFC2vt2rUKDg62a+9ZoadkjZ4CwNo9fI7Krnv/OO+zlt3nfe/evfXrr78arnn44Yc1atQoVapUyXDdsWPHNG7cOB04cMBwXdOmTTVnzhx7t5ojWb7DA8gFFi1aZPiDf7t27Zwa7CJJPXv2VJkyZSzGjx8/rq1btzpVw9V27dplGK9Vq5ZpU42LFCmiV155xXDNjh07TKkFIG/ibLdu586dhkO7fH19NWnSJKeHdknSiy++aHgD2S+//GI4WAYA/lKoUCENGjRIn332mXbu3KlNmzZp2rRp6tWrl+rXr5/lw6H3qs2bNxuerffff7+6d+/uVI06deqoTZs2FuMpKSlavHixUzUA5H2c7fbp3r27Pv74Y23YsEG7d+/WvHnz9Prrr6tZs2am3AQFAGbgbLdNnTp19M033+jzzz83fWiXJAUEBGj27NkqXry44TprH/YCwF8433MOLy8vTZgwweqDdj/++KObdgQAAFztzp07Gj9+vOGasmXLavny5Xr++ecNh3ZJfw7kGjp0qObOnavAwECL6+Lj4/Xuu+86tGcAyOuKFy+u3r17a8WKFdq+fbumTp2qHj166JFHHlG5cuUUEhIiHx8fBQYG6r777lONGjX06quvas6cOVq/fr1eeOEFeXh4GNZITU3Vm2++qVu3bpm276ioKE2bNs1wTa1atbRixQqrD7NIUsGCBfX+++9bvc/sypUr+uijj+zer5EDBw7oq6++MlzTvHlzffPNN1YfZpGkUqVKafbs2VYHZR45ckQLFy60Y6cAYI5JkyZlObSrcOHCqlKlitv3Q0+xjJ4CwN3Wrl2riRMnGq7x9/dXly5dtGHDBi1dulSDBw/Wo48++l+/v/j5+alQoUIqW7asGjVqpB49emjKlCnasGGD1qxZo2HDhqlatWqm7p1+Yhn9BIA7TJkyxerQrqZNm2rlypV67rnnbB7wUbBgQb3++utaunSp1fvX/vjjD82fP9/mPVtCT7GMngLAEZ6enipcuHB2b+MfOO8ty87zftWqVVaHdr388stavHix1aFdklS5cmUtWbJEHTt2NFz366+/avXq1fZsNcdicBdyrZSUFC1btsxi3NfXVwMHDnS6jo+Pj1577TXDNV9++aXTdVzp2LFjhvFnn33W1HpGAwAk6fTp00pJSTG1JoC8gbPdNtYe2GndurXKlStnSi0PDw8NGjTIYjwzM5PBLgBsUrZsWfXv319NmjRReHh4dm8nR7PWgwYPHmzKcMbBgwfLx8fHYvybb77h53YAhjjb7TNs2DC1bNlSJUuWzO6tAIBFnO3Wvfjii1qyZIlq1Kjh0jr58+fXsGHDDNccOXJE586dc+k+AOQNnO85i7+/v4YOHWq45sCBA0pOTnbTjgAAgCtNnz49ywf0/1KsWDEtXLjQ6mDP/9WoUSPNmDHD8DOjrVu3auPGjXblBYC8ysvLS0888YQWLlyojRs3asiQIapatarVAVz/q2TJkho3bpw+//xzFShQwHDtjRs3rL413h6TJk0y/F2xcuXK+uyzz5Q/f3678j733HN67733DNcsW7bM6r3ItsrIyNB7771n+GBp48aN9dFHHykgIMCu3H379tWAAQMM18yaNUvXrl2zKy8AOGP79u367rvvsoyNHDlSwcHBbt4RPcUW9BQA7nDy5EkNHz5cGRkZFtfUq1dPa9as0dtvv23334/+Uq5cOXXv3l3Lly/X8uXL1a5dO3l7ezu67b/RT6yjnwBwlYMHD+q3334zXFOnTh1Nnz5dYWFhDtWoVq2a5s+fb/Xrv/zyS6efO6GnWEdPAWCJh4eHSpcurdatW+utt97SF198oX379unDDz/M7q39A+e9de4+7xMTEzV58mTDNe3atdOoUaPsep7V29tb7777rtq2bWu4bvLkybp7967NeXMqBnch19qyZYvi4uIsxlu3bq1ChQqZUqt58+aGk4G3bdtm6luxzBYVFWUYb9Cggan1ypUrp6JFi1qMp6en6/Lly6bWBJA3cLZbl5GRoV9++cVwTadOnUyt+dBDDxlOwV23bh0PEAGASWJiYrR9+3aL8VKlSumxxx4zpVaRIkXUsmVLi/HY2Fht3brVlFoAAABAXuHojUyOaNGihSpXrmy4ZteuXW7aDQDATI8++qgCAwMtxlNSUhjOCABAHvDHH3/o3//+t8W4l5eX/vWvf6lIkSIO5W/QoIHVm3atvbEYAPI6X19fvfDCC1q/fr0+/fRT1a9f3+5hXVlp1KiRvvzyS6sPj6xcudKU3+8iIyO1YcMGi/HAwEBNnTrV4eEvbdu2Vbt27SzGMzIyTOspP//8s44cOWIxXqRIEU2ZMsXwRWRGBgwYYHhfdGJioubOnetQbgCw1927dzV69OgsY02bNlWLFi3cvCN6ij3oKQBcKTk5WUOGDDF8DqNr165asGCB4XMv9qpWrZomTJigggULOpWHfmI7+gkAV/jxxx8N44GBgfrkk0/k6+vrVJ2IiAhNmDDBcE1sbKy2bdvmcA16iu3oKQAkqXjx4nryySf1xhtvaOHChdqzZ49++ukn/etf/1K3bt1Uu3ZtBQUFZfc2/4Hz3nbuPO+XLl1qOASsUqVKGjNmjMP5x4wZo/vvv99i/OrVq/r6668dzp9TMLgLuZa1Xyyef/5502p5eXnp2WeftRhPTU3VunXrTKtntjt37liMeXl5OTxx30ipUqUM47dv3za9JoDcj7PdurNnzxoOFIuIiFD16tVNr/vMM89YjN25c4e39AKASdauXau0tDSL8TZt2sjT07xf5Z977jnD+KpVq0yrBQAAAMB+TzzxhGHc6INfAEDO5efnp9q1axuu4UVIAADkfosWLVJqaqrFeLt27VSrVi2navTs2VNlypSxGD9+/DgvagFwT/Ly8lLbtm31008/ady4cSpZsqTpNcqUKaM5c+bI29vb4pr09HRTHjj4/PPPDeN9+/ZV6dKlnaoxbNgwwxcX/PLLLzpz5oxTNSRp3rx5hvHhw4dbHYhmxMPDQ2PHjjV8IGb58uWKjY11uAYA2Grq1KmKjo7+x78PDAy0ONDL1egptqOnAHCladOm6dSpUxbj3bt314gRI0y9Z9hM9BPb0U8AuIK1lz126dJFBQoUMKVWs2bN9OCDDxqu2bFjh8P56Sm2o6cA96ZChQpp0KBB+uyzz7Rz505t2rRJ06ZNU69evVS/fn2FhIRk9xZtwnlvO3ed96mpqVq0aJHhmrFjxzo1CNTf39/q4K9FixYZPk+bG+TM39wBK9LT07V9+3aL8cKFCzt9U9P/atWqlWF8y5YtptYzU2ZmpsVYWFiYKW8P+1/h4eGG8dx+eAIwH2e7bSIjIw3j1v4Q5ihreX/99VeX1AWAe4213tOyZUtT69WtW1eFChWyGN++fbsyMjJMrQkAAADAdg0bNjSMX7hwwU07AQCYrWjRoobxhIQEN+0EAAC4QkpKipYtW2Yx7uvrq4EDBzpdx8fHR6+99prhmi+//NLpOgCQ2/zrX//SxIkTVaxYMZfWqVGjhl544QXDNatXr3aqxvXr1/XTTz9ZjBcsWFBdunRxqoYkhYaGqmfPnhbjmZmZ+ve//+1Ujd9//12//fabxXjlypWt3tNni9KlS6t9+/YW44mJiVqxYoXTdQDAyOHDh7V48eIsYwMGDFDx4sXdvCN6iiPoKQBc4cKFC4YPRz/66KMaOnSoG3dkH/qJ/egnAMyUlJSks2fPGq559tlnTa1pLd/Ro0cdyktPsR89Bbj3lC1bVv3791eTJk2szu/IqTjv7eeO837Dhg26evWqxfjjjz+umjVrOlVDkmrXrq0mTZpYjF++fFkbN250uk52YnAXcqXDhw/rzp07FuONGjUyfRhV+fLlDT/A37NnT44dRmU0KdNoqJczrOUNDQ11SV0AuRdnu23Onz9vGK9Ro4ZL6larVs1wOu/27dtd1lMA4F6RlpamvXv3WowXL17c8I3pjvD09FT9+vUtxuPi4qwOjQQAAADgOtaGuvB2PADIvYze7ifJ8G/yAAAg59uyZYvi4uIsxlu3bm34chV7NG/e3PCh/23btunWrVum1AKA3MLa71xmGjBggOHvcH/88YdTb3BfvXq10tPTLcY7deokPz8/h/P/pxdeeEGBgYEW42vWrHHqfroff/zRMN61a1eHc/+vLl26GN5vaG0vAOCMtLQ0vfPOO1me35UqVTLlQURH0FMcQ08BYLYPP/xQqampWcby58+v999/3/RnZ8xEP3EM/QSAWS5dumT4DF+xYsVMf+6kUaNGhvGoqCiH8tJTHENPAZDbcN47xtXnvbWv79atm1P57cmV23sXg7uQK+3Zs8cwXq9ePZfUNXqgPT4+XkeOHHFJXWcZTc+Mi4tzyaAVazd75c+f3/SaAHI3znbbGE2vlaQSJUq4pK6fn5/hTcM3btzQqVOnXFIbAO4VkZGRSkhIsBg36lnOaNCggWF8165dLqkLAAAAwDprb8dKSkpy004AAGa7ffu2YZzPUwEAyN2s3Vj6/PPPm1bLy8vL8G33qampWrdunWn1AAD/LTw8XLVq1TJc48w9aKtWrbIY8/DwUNu2bR3O/b/y5cunJ554wmI8JiZGO3bscCh3RkaG1q5dazEeGBioFi1aOJQ7KxEREYb/XY4ePerUQDUAMPL555/r+PHj//j3np6eGj9+vLy9vbNhV/QUR9FTAJjpzJkz+vnnny3G+/XrZ/U+gexGP3EM/QSAWe7cuWMYL1WqlOk1S5QoIU9PyyMprN3/YAk9xTH0FAC5Dee9Y1x53t++fVtbtmyxGC9VqpRq167tUO6s1KtXz/BlZJs3b7b6M05OxuAu5EqRkZGG8erVq7uk7gMPPGAYz2nDXf5StWpVi7H09HSHpxkbuXDhgsVYkSJFcvwfEQG4H2e7bWJjYw3joaGhLqudL18+w7i1/4YAAGPWeo6reqG1vEePHnVJXQAAAADWpaSkGMbNesMUAMD9rl+/bhh31Ys6AACA66Wnp2v79u0W44ULF7Y64MVerVq1Mowb3XQLAHBew4YNDeMXL150KG9MTIzhPVkPPvig7rvvPodyW+KqnnLkyBHD34Ufe+wx+fv7O5TbkpYtWxrGt27damo9AJCkc+fOaebMmVnGOnXq5LJ7wKyhpziHngLALAsXLlRmZmaWsQIFCqhjx45u3pF96CfOoZ8AMENGRoZh3BXPbnt6eiosLMxiPD093e6c9BTn0FMA5Bac985x1Xm/Y8cOpaamWow/9dRTDuW1xMPDw3CoWUpKinbt2mVqTXdicBdyJaMHx4OCghQREeGSutWqVTOMHzt2zCV1nfXwww8bxh2dCmnJ6dOnde3aNYf3A+DexNlum+TkZMO4teFazrA2FCynDTkDgNzG2jlapUoVl9QtU6aMAgMDLcZzWi8EAAAA7iVXrlwxjIeEhLhpJwAAM6WlpWnfvn0W48WKFTN8wxwAAMjZDh8+bPg22EaNGsnDw8PUmuXLl1exYsUsxvfs2aO0tDRTawIA/l+RIkUM49Ze1mjJzp07LT7UL/3ZU8xWp04d+fr6Wow7es/xzp07DeOuuJbGjRsbxo0GbQKAIzIzMzV69Ogs7/UtXLiwhgwZkg27+hM9xTn0FABmSExM1I8//mgx3r59e8NzMyegnziHfgLADNae7zM6p51hlNeRe9joKc6hpwDILTjvneOq897a9yA3XUtOwOAu5DqJiYmKjo62GI+IiDD9xqa/lC1b1jB+4sQJl9R1VrNmzQynM37//fem1lu5cqVh3OwJiwByP85221n745mr/rhmS+7jx4+7rDYA3AtOnjxpGLfWsxzl6elpOCDzwoULunv3rktqAwAAADBmbcBvqVKl3LQTAICZduzYYfjQdpMmTdy3GQAAYLo9e/YYxuvVq+eSuvXr17cYi4+P52VcAOBCBQoUMIw7+pn77t27DeOu6CkBAQF68MEHLcbPnDmjGzdu2J3X2rUY9TFHlSpVynAw9r59+5Senm56XQD3rm+++cbi7wMjR45UcHCwm3f0/+gpzqGnADDDpk2bDH83aN26tRt34xj6iXPoJwDMkD9/fsP4rVu3TK+ZkZGhuLg4i3Fre8oKPcU59BQAuQXnvXNcdd4b3dPg7+9v+P1zVK1atQwHqln7/uZkDO5CrhMdHW04OKR06dIuqx0cHKzw8HCL8aioKJfVdkb+/Pn1zDPPWIwfOHBAmzdvNqXWtWvX9MUXX1iMFy9eXI899pgptQDkHZzttjMaxCjJ8K29zrp9+7Zh/OLFiy6rDQD3AqOeU7BgQQUFBbmsttHD/pmZmbp06ZLLagMAAACwbNOmTYbxSpUquWknAACzpKWlacqUKRbjHh4e6ty5sxt3BAAAzBYZGWkYr169ukvqPvDAA4ZxBncBgOskJycbxv38/BzKa3R2e3l5qWrVqg7ltcZar3Kkpxh9TaFChVS0aFG7c9rC6FoSExN1/vx5l9QFcO+5du2axb/7NW3aVC1atHDzjv4bPcV59BQAzlqzZo3FWMmSJXX//fe7cTeOoZ84j34CwFnh4eG67777LMYvXLhges2oqChlZGRYjFeuXNnunPQU59FTAOQGnPfOM/u8j4+PN/yaypUrGw7YcpSvr6/hfe/nz59XYmKi6XXdgcFdyHWio6MN4yVKlHBpfaP8MTExOfYwGDBggEJCQizGR44c6fTD+ElJSRo0aJDh9P8333xTXl5eTtUBkPdwttvO2tAWa8O1nGFtKNj169et3oQGAMhafHy8YmNjLcazsxdK1ns1AAAAAPPdunXL6ks36tSp46bdAADMkJmZqfHjx+vkyZMW17Ru3VrlypVz464AAIDZjh49ajEWFBSkiIgIl9StVq2aYfzYsWMuqQsAkK5evWoYN7p/15K0tDTD3x/Lli2rgIAAu/PawtqDMvb2lCtXrujWrVsO13OGtdxGfRsA7DF+/Pgs77MNDAzU6NGjs2FH/4+eYg56CgBnpKWladeuXRbjueGzf/qJOegnAMzw8MMPW4xdvXpVZ8+eNbXetm3bHN5PVugp5qCnAMjpOO/NYfZ5f/z4cWVmZlqMV6lSxa589jC6loyMDB0/ftxltV2JwV3IdS5fvmwYL1iwoEvrFyhQwDBubX/ZpUiRIho5cqTF+PXr1/Xqq68aNj8jN2/eVJ8+fXTo0CGLa5588km1bNnSofwA8jbOdtsVKVLEMO6qwSrJycm6fv264ZrMzEynh0ACwL0qu3uhtfyc7wAAAID7ffXVV0pKSrIYL1GihEs/HAUAmCs+Pl7Dhw/X0qVLLa4pUqSIRo0a5cZdAQAAsyUmJhp+bh8RESEPDw+X1C5btqxh/MSJEy6pCwCQIiMjDeOlSpWyO+f58+eVkpJiMW7t3HeG2T3F2r3JuelaACAr69ev188//5xlbMCAASpevLibd/Tf6CnmoKcAcMaRI0eUkJBgMf7ggw+6bzMOop+Yg34CwAytW7c2jH///fem1vvhhx8sxnx8fPT444/blY+eYg56CoCcjvPeHGZfi7X1uelacgrv7N4AYC+jSYSSVKhQIZfWL1y4sGHc2v6yU5s2bRQdHa3p06dnGT9//rzat2+vPn36qFOnTgoLC7OaMzk5WT/88IOmTp1qONDlwQcf1MSJEx3dOoA8jrPddtY+vP/999/14osvml73yJEjSk1NtbouJibGpT+UA0BeZa3XuHpwl7Vem5N6IQAAAHAvuHnzpubNm2e4pk2bNu7ZDADAKbdv39bq1as1Y8YMw89TQ0NDNXv2bIWGhrpxdwAAwGzR0dGGb6ctXbq0y2oHBwcrPDxcMTExWcajoqJcVhsA7mUZGRnasmWL4ZpKlSrZndfaue3IMDBbWetX9vaUvHQtAPC/bt++rfHjx2cZq1Spkrp06eLmHf1TXjqH89K1ALi37Nu3zzB+//33W4zFxMRoy5Yt2r17t06ePKkrV64oPj5e6enpCggIUEhIiIoXL66yZcuqZs2aqlevnooWLWr2JeSpMzgvXQuAe9MjjzyiiIgInT9/Psv44sWL1blzZxUoUMDpWhs2bNChQ4csxlu2bGn3s5956RzOS9cCAGbLS2dkXroWoxeRSbnrWnIKBnch14mNjTWM58uXz6X1reW3tr/sNmDAAPn6+mrq1KlKS0v7RzwpKUmffPKJ5syZo0aNGqlWrVqqWLGiQkNDFRwcrLt37youLk7nz5/X/v37tWXLFqsP8deuXVszZ85UUFCQqy4LQC7H2W67ypUrG8YPHjzokrq//fabTevi4uJcUh8A8jprvSYkJMSl9XNTLwQAAADuBZMnT1Z8fLzFeGBgoF5++WU37ggAIP053NzS29AzMzOVmJio+Ph43bhxQ8ePH9eRI0e0c+dOwzcHSlLRokU1a9YsValSxRXbBgAAbmTtJtcSJUq4tH6JEiUsDu6KiYlRYmKiAgMDXboHALjXbN26VTdu3LAYDwkJcWhwV3b2lICAABUoUEA3b97MMm5tb/aud+W1WMtt77UAwP/64IMPshzY7+npqfHjx8vbO/sf26KnmIOeAsAZx48fN4xn9fDy4cOHNX/+fP30009ZPgMoSXfu3NGdO3d06dIl7dmzR0uXLpWHh4cefPBBdezYUa1atZKPj48p10A/MQf9BIAZPDw8NGLECPXu3TvLeGJiogYPHqx58+bJ19fX4Trnz5/XyJEjLcYDAwM1YMAAu/PSU8xBTwGQ03Hem8Ps8z4vXUtOkf1/AQbsZG0gSHBwsEvrW8ufGx5o79Wrl2rXrq233nrL4kTlu3fv6ueff9bPP//scB1vb2/16dNH/fr1k5eXl8N5AOR9nO22q1y5snx8fJSamppl/Pz58zpy5IiqVq1qat0ff/zRpnU56XsFALnJ7du3DePZ3QsZzAgAAAC4z8aNG7Vy5UrDNV26dFH+/PndsyEAwN8+/PBDffvtt6bmbN26tcaMGePywe0AAMA9Ll++bBgvWLCgS+sXKFDAMH758mWVL1/epXsAgHvNggULDOPNmjWTp6en3XlzQk+x9EDLrVu3dPfuXQUEBNiUy9q1FCpUyO792crf319BQUEWB3Fb2xsAGNm9e7eWL1+eZaxTp06qXr26m3eUNXqKOegpAJxx6tQpizF/f3+Fh4f//X/funVLkydP1nfffafMzEy7a2VmZurgwYM6ePCgpk2bprffflvNmjVzaN//iX5iDvoJALM0bdpUzz//vMXfSfbs2aNBgwbpgw8+UGhoqN35IyMjNWjQIMNnBd944w2VKlXK7tz0FHPQUwDkdJz35jD7vL906ZJh3JXXYsv9DLmR/Z8CAtksMTHRMO7qNwJay3/37l2X1jdLzZo1tWbNGn3wwQeqUKGCqbl9fHz0/PPPa926dRo4cCBDuwBYxdluu4CAANWuXdtwzVdffWVqzd9++01Hjhyxaa21/5YAgKxZ+sPJX1zdC4OCggzjOakXAgAAAHnZlStXDN9SKEnFihWz+LZEAEDu4O3trebNm2vFihX617/+xdAuAADykFu3bhnGXXmTqyQVLlzYMG5tfwAA+2zdulU7d+40XNOmTRuHcuelnmJtrasfzjH6XsXFxTk0DAEAkpOTNWrUqCzPkMKFC2vIkCHZsKus0VPMQ08B4Khz585ZjP3n0K7Dhw+rbdu2WrFihSlnyqVLl9S/f3+98cYbTj/rQT8xD/0EgFnGjh2rxo0bW4z/8ssvatOmjVauXKnU1FSbct68eVOffPKJOnbsaDjY46WXXtLLL79s954leoqZ6CkAcjLOe/OYed4bDeX08/NTvnz57NmaXcLCwuTj42MxnlvvZ/DO7g0A9kpLSzOMe3u79v+tjQ4CSTb/8pITeHl5qU2bNmrTpo0OHDigMWPG6OTJkw7ny58/vwYPHqyWLVtyczkAu3C22+eJJ57Qjh07LMZ/+OEH9ejRQxEREabUmzZtms1rc9r3CgByC3ohAAAAgJSUFA0ePNjqh47jxo2z+Q1PAICcxcfHR926ddOrr76q/PnzZ/d2AACACxjd5CrJpTe52pLf2v4AALZLTk7WhAkTDNfUqFFDdevWdSh/bugp9913n025rF2Lq+85Nsqfnp6u27dvKzQ01KV7AJD3TJ8+XRcuXMgyNnLkSAUHB7t5R5bRU8xDTwHgiNjYWCUlJVmM/3W27NmzR7169XLJy3ZXrVqlU6dOacGCBSpQoIBDOegn5qGfADCLr6+vZsyYoWHDhmndunVZrrl8+bKGDx+uDz/8UI0bN9ZDDz2k0qVLKyQkRAEBAbpz545iY2N1/Phx7d+/X9u2bVNKSoph3VdeecXqyymN0FPMQ08BkJNx3pvHzPPe6D51d8yICQkJ0c2bN7OM5db7GRjchVzH2gPjrn6g3Vp+aw/c5yTp6elas2aNli5dqoMHDyo9Pd2pfLdu3dLEiRP166+/6tlnn9WTTz4pT09Pk3YLIC/jbLfP008/rcmTJ1v8QCY5OVlvvfWW/v3vfzt9Dn/zzTfatm2bzesZ7AIAjsnuXujl5WUYz2m9EAAAAMiLxowZo0OHDhmu6dixox555BH3bAgAYLrU1FR99tlnWrdunZo1a6bOnTurWLFi2b0tAABgori4OMO4qx/et5Y/t97oCgA50UcffaRz584Zrhk8eLDD+XN6T7G2P1vX+vj4yNfX1+ZcjrDlWniAEYA9jh49qgULFmQZa9q0qVq0aOHmHRmjp5iHngLAETdu3DCM+/n56dixY+rdu7dLhnb95cSJE3rppZe0dOlShYWF2f319BPz0E8AmMnPz09Tp07VsmXLNHnyZN2+fTvLddevX9eKFSu0YsUKh2uFhYVp/Pjxat68ucM5JHqKmegpAHIyznvzmHXep6amKjEx0WI8KCjI7r3ZKzg42OLgrvj4eKWlpbn8WVqz5a7dArL+wLi1B86dZS1/bhlYsmbNGn3yyScW3/LiqKSkJP3yyy/65ZdfFBERof79++uZZ54xtQaAvIez3T758uVT+/bttXjxYotrDh48qAkTJuidd96Rh4eHQ3X27duniRMn2vU1Oe17BQC5hbUhuvRCAAAAIG/77LPPrN4UVbFiRY0YMcJNOwIAuNLFixc1f/58LV68WK1bt9awYcMcfrs5AADIWYxucpWkwMBAl9a3lt+VD38CwL1k8+bNWrRokeGaJ598Ug0aNHC4Rk7vKdb2Z+tadzwEYua1AEB6erreeeedLO99DgwM1OjRo7NhV8boKeahpwBwxPXr1w3jSUlJGjhwoOEZUqVKFT3++OOqVKmSChUqpJCQEMXGxurmzZs6fPiwNm7cqFOnTlndy7lz5zRw4EAtWLDA7geh6SfmoZ8AcIX27durRYsWWrx4sb766iur/cceYWFh6ty5s7p06WLKkBV6innoKQByMs5785h1LdbuF8gJ15KUlOTyoW5m88zuDQD2svZHoYyMDJfWt/ZAfU6f3hcfH68333xTr7/+uulDu/7X+fPnNXToUPXv318xMTEurQUgd+Nst1+fPn2s/gD8xRdfaOTIkQ4NW9m8ebO6d+9u9x9nXD0VGADyKmuDs6z1Kmflxl4IAAAA5BWrVq3SRx99ZLgmX758mj59uvz9/d20KwCAO6SlpWnlypVq3bq1NmzYkN3bAQAAJrD24jJXf+bi4+NjGOdlLQDgvOjoaA0bNkyZmZkW14SFhWnkyJFO1bHWU6yd+c4ys6cYXYs77kegPwIw04IFC3TkyJEsYwMGDFDx4sXdvCPr6CnmoacAcIS1B6NPnDihqKioLGO1a9fW999/r++++04DBgxQs2bNVKNGDZUpU0Y1a9ZUs2bN9Prrr2vVqlVaunSpqlatanU/e/bs0Zw5c+y+DvqJeegnAFwlX7586t+/v7Zu3apJkyYpLCzMqXwVKlTQnDlztHXrVvXv39+0IRr0FPPQUwDkZJz35jHrWrL7fgbJ+rWkpKS4fA9m48lb5DrW/odo7bBwVnY3CGfcunVLXbp00YkTJ6yurVSpkho2bKjatWurdOnSCgsLU758+ZSYmKi4uDhdvXpV+/fv1549e7Rr1y7DoTobNmzQkSNHtGTJEpUsWdLMSwKQR3C2269AgQIaNmyYxowZY7hu+fLl2r9/v95++201adLEat6rV69qypQpWrVqlUP7YnAXADjGWq/J7sFdObEXAgAAAHnB1q1b9dZbbxk+5Ofj46OPPvpIpUuXduPOAABZmTBhgiZMmJBlLDU1VXfu3NHt27f1xx9/KDIyUpGRkdq6datu375tmDcmJkb9+/fX6NGj9dJLL7li6wAAwE2s3RDr6htdreV39f0XAJDXxcfHq2/fvoqNjTVcN2bMGBUpUsSpWtZ6irUXhDnLzJ5idC2uvg5batAfAdjq4sWLmj59epaxSpUqqUuXLm7ekW3oKeahpwBwRHJyst1f4+HhoeHDh6tbt242f03NmjX17bffaurUqZo9e7bh2lmzZqlly5YqU6aMzfnpJ+ahnwBwlfj4eP373//W999/r9OnTzud7+TJkxoxYoSaNm2qjh07qkaNGibskp5iJnoKgJyM8948Zp332f3fxJYaubF3MbgLuY61A9LV019z43AXSbp9+7a6detmdWhX3bp11a9fP9WrVy/LeGhoqEJDQ1WqVCnVqVNHffv21dmzZzVv3jwtX77c4sNFV65cUefOnfXFF1/kyLfIAMhenO2O6dixo7Zv366ffvrJcN358+fVq1cvlShRQo8//rhq1aqlggULKjw8XImJibpx44bOnTunjRs3av/+/RaHt4SFhen+++/X3r17Ldby8/Nz6poA4F6V3b3QWv6c2gsBAACA3Gz//v0aOHCg4c/jnp6emjRpkh555BE37gwA4AgfHx+Fh4crPDxcERERqlOnjiQpKSlJ69at0/z5861+Vjtu3Dh5eXmpY8eO7tgyAABwAWv3H7j6Rldr+XmzOgA4Lj09XW+88YZOnjxpuK59+/Zq2bKl0/Wy+63nZj44kd1vomewJQCzjB49WklJSf/4956enho/frxbzjRH0FPMQ08B4IiUlBS71nt4eGjcuHHq0KGD3bU8PT31+uuvKzAwUB999JHFdampqZo6dao++eQTm3PTT8xDPwFgttTUVH322WdauHCh1ReL2SsmJkYrVqzQihUrVL9+fQ0ePFgPPvigUznpKeahpwDIyTjvzWPWeZ/d/01sqZEbe1fO/KswYCAwMNAwnpiY6NL6CQkJhvGAgACX1nfU2LFjdezYMYtxb29vvfbaa+rZs6c8PDzsyl22bFlNmDBBzZs317Bhwyy+Sezy5csaNGiQvv766xz7oRSA7MHZ7rjJkyfr2rVr+u2336yujY6O1qJFi7Ro0SK763h5eWny5Mn67rvvDNeFhobanRsAIAUFBRnG6YUAAABA3nL06FH17t1bd+/eNVw3evRotW7d2k27AgC4gr+/v9q0aaPWrVtr7ty5mjlzpuEDGu+9954efPBBVapUyY27BAAAZrF2T1RGRoZL61t6UddfuGcLABw3btw4/frrr4ZrqlatqtGjR5tSz9qZnZ6e7tKBkNZ6ij21vb29LT5oYa2OGbJ7sCaAvOHbb7/Vzp07s4x16tRJ1atXd/OObEdPMQ89BYAjMjMz7VrfsWNHh4Z2/afevXvryJEjWr9+vcU169evV3R0tEqUKGFTTvqJeegnAMx09uxZvfnmmzpy5IjLa+3cuVN79uxR79691b9/f4c/c6CnmIeeAiAn47w3j1nnvS3/TVwtL/Yuz+zeAGAvawNBrD1w7ixr+cPCwlxa3xFr167V6tWrDddMmjRJvXr1snto139q0qSJ/v3vfytfvnwW10RGRmr27NkO1wCQN3G2Oy4gIEDz58/Xww8/7LIanp6emjRpkpo0aWL1bS+FChVy2T4AIC8LCQkxjGd3L2QwIwAAAGCeU6dO6dVXX9WdO3cM1w0bNkydOnVy064AAK7m7e2tvn37as6cOfLz87O4LjU1VUOHDnXLTTAAAMB8Pj4+hnFXvx3WWn5r+wMAZG3atGlaunSp4ZoiRYro008/la+vryk1rZ3Zrv690cyeYrTWHb//WqtBfwRgzY0bNzR58uQsY4ULF9aQIUPcvCP70FPMQ08B4Ah7fkcoUaKEhg4dakrdsWPHKjw83GI8IyNDy5Ytszkf/cQ89BMAZvn999/VoUMHq0O7PD091aBBAw0ePFhLlizRhg0btHfvXkVGRmrnzp1au3atZs2apVdffVUVK1Y0zJWenq6ZM2eqZ8+eSkpKcmjf9BTz0FMA5GSc9+Yx67zP7v8mttTIjb2LwV3Idaw9MH779m2X1reWP6c90J6ZmalPPvnEcE2/fv309NNPm1KvXLlymjp1quEAsM8++0w3b940pR6AvIGz3TnBwcFasGCBXnrpJdNz58uXTzNnztQzzzwjyfr3isFdAOAYa70mLi7OpfWtDQzIyUMsAQAAgNzk/Pnz6tatm27dumW4buDAgerevbubdgUAcKcGDRpo2rRphp+nnjx5Uj/99JMbdwUAAMxi7Q21qampLq3P4C4AMN/ChQs1Y8YMwzVhYWGaP3++7rvvPtPqWusp1l7A6Cwze4rRtbi6N0r0RwDOGz9+vMX7t0aOHKng4GA378g+9BTz0FMAOMKes6FHjx4KCgoypW54eLjVZ0x+/vlnm/PRT8xDPwFghmPHjql79+6Gz4J4eHioXbt2WrNmjRYsWKC+ffuqTp06KlmypEJCQuTj46Pw8HCVLVtWjz32mIYPH64ffvhBCxcuVJ06dQzr79ixQ/3793fo/KenmIeeAiAn47w3j1nXkt33M0jWr8WsF+S4E4O7kOsYTXqXpOvXr7u0vrX8+fPnd2l9e/3yyy86f/68xXixYsXUt29fU2s2bNhQTz75pMV4cnKyvvrqK1NrAsjdONud5+vrq9GjR2vhwoUqX768KTkbNWqk7777To8++ujf/87ooVJPT08VK1bMlNoAcK+x1gtv3Ljh0vp5oRcCAAAAOV10dLS6du1q9efvnj17asCAAW7aFQAgOzRt2lTPPvus4ZqFCxe6ZzMAAMBUgYGBhvHExESX1k9ISDCMBwQEuLQ+AOQ1y5Yt06RJkwzXBAUFae7cuabds/WXnN5TrO3P1rXW6pjBzGsBcO/ZuHGj1q1bl2WsadOmatGihZt3ZD96innoKQAcYetDx0FBQX+/cN0sHTp0MHww+8yZM7p8+bJNuegn5qGfAHBWYmKiBg0apNu3b1tckz9/fs2ZM0cTJkxQmTJl7Mpfv359LV68WEOGDJGXl5fFddu2bdOUKVPsyi3RU8xETwGQk3Hem8esa7F2v0BOuBZ/f3+X78FsDO5CrmNtIIirH2i3lr948eIurW+v77//3jDeu3dvl0wdHDRokGF8+fLlptcEkHtxtpunfv36+vHHHzV9+nTVq1fP8I9jltSrV0+fffaZ5s2bp5IlS/5XzOh7VapUKfn5+dldDwAgq2/dze7BXbmpFwIAAAA50dWrV9WlSxdduXLFcN0rr7yiN9980027AgBkpzfffNPwTXeHDh3StWvX3LgjAABghtDQUMO4q290tZY/LCzMpfUBIC9ZtWqVRo8erczMTItrAgICNGfOHFWvXt30+jm9p1jbn61rU1NTlZKSYnMuR5h5LQDuLfHx8Xr33XezjAUGBmr06NFu3pFj6CnmoacAcIStZ8Ojjz6qoKAgU2sXLlxY9erVM1zz22+/2ZSLfmIe+gkAZ02ZMkUXL160GA8JCdGXX36pJk2aOFzDw8NDvXv3tjrUfsmSJdq1a5dduekp5qGnAMjJOO/NY9a1+Pj45OghZMHBwYbDp3MqBnch1ylRooRh/NKlSy6tHx0dbTEWHh6e46bP7tu3z2LMw8NDzZs3d0ndcuXKqVy5chbjly9fVlRUlEtqA8h9ONvN5enpqebNm2vRokXatm2bPvzwQ73yyiuqW7euSpYs+fcPrj4+PgoLC1OFChXUqlUrjR49Wps2bdKiRYuy/MNcXFycYmNjLdY1+62RAHAvCQ4ONnxQIjt7oWS9VwMAAACw7I8//lCXLl2s/tz9wgsv6J133nHTrgAA2a1QoUKqU6eO4Rqjz3oBAEDOZO2G2Nu3b7u0vrX8PKABALbZsGGDhg8froyMDItrfH199emnn6p27dou2UNe6ik5+Vo8PT0VEhLi0voAcq8pU6ZYHK4/YMCAXPMyxJx8Dkv0FAB5n62D1GvWrOmS+jVq1DCMHz161KY8OfkMlugnAO4dly5d0tdff20x7uHhoalTpxo+322PZ555Rn369LEYz8zM1OTJk+3KmZPPYYmeAgBmyclnpHTvnvdGv6O6+jqs1cit9zPkvlFjuOdZe2D8woULLqsdHx+vmJgYi/Gc9jB7VFSUbty4YTFeqVIlFShQwGX1GzRooDNnzliM79+/XyVLlnRZfQC5B2e764SHh+vpp5/W008/7XSu8+fPG8arVq3qdA0AuJeVKFHC4oDE69evKzEx0WXDJI2G6np4eOSam8wAAACAnObmzZvq2rWr1b+rtGnTxuIb2wEAeddjjz2m7du3W4wfPnxYrVq1cuOOAACAs8LDww3j169fd2l9a/nz58/v0voAkBds3rxZgwcPVlpamsU1Pj4++uSTT9SoUSOX7SMv9RRr13Ljxg0VLFjQ5nz2MrqW0NBQeXh4uKw2gNxr3759Fh+Gr1Spkrp06eLmHTmOnmIeegoAR9h6zlkbsOUoa3ltfbkw/cQ89BMAzliyZInS09Mtxlu0aKEGDRqYWrN///76/vvvdeXKlSzjR44c0Z49e6y+vOwv9BTz0FMA5GSc9+Yx87zPnz+/Ll++nGUsOTlZd+7cUb58+ezeoy3i4uKUkpJiuLfcyDO7NwDYKygoyHCIyrlz55SZmemS2mfPnjWMV6xY0SV1HXX16lXDeNmyZV1a39pEZmv7A3Dv4GzPHSIjIw3jtv5xDQCQtQoVKhjGjYbiOiMjI0Pnzp2zGC9VqpQCAgJcUhsAAADIy27duqWuXbta/Vm+ZcuWev/997lJBgDuQaVKlTKMG714BAAA5EzFihUzjBu9hNEM1vLzshYAMLZz504NHDhQqampFtd4eXlpypQpevzxx126l5zcU/Lnz2/Xi8esXYsrH85JSkpSfHy8xTi9EUBW0tLS9M4772R577Knp6fGjx8vb2/vbNiZY+gp5qCnAHBUaGioTWedq146by2vrc/30U/MQT8B4KwffvjBMD5w4EDTa/r6+qpXr16Ga5YvX25zPnqKOegpAHI6zntzmH3e33fffYZxV15LXr2fIff8pRj4D1WrVlV0dHSWsYSEBJ0/f15lypQxva61gSWVK1c2vaYzYmNjDeOunjhoLf+tW7dcWh9A7sLZnvP99ttvFmP+/v6qXr26G3cDAHlP1apVtWLFCovxo0eP6oEHHjC97rlz55SYmGgxTi8EAAAA7BcXF6dXX31VJ0+eNFzXrFkzTZkyRV5eXm7aGQAgJylUqJBh3NrnvQAAIOex9iDkpUuXXFrf0n0X0p9vAbbn5mMAuNfs3btXffv2VXJyssU1np6emjhxop566imX7yc7e8rdu3d18+ZNi3F7Bwpk57UY9UbJdcMRAORuiYmJFl+E2Lx5c4WHh1s9X2xl1Hck68NUwsLCFBwcbLiGnmIOegoAZ5QoUcLq/QMhISEuqZ0vXz7DuNED4P+JfmIO+gkAZ5w5c8bwPCxfvrzKlSvnktrNmzfXuHHjshxwLEl79uyxORc9xRz0FAA5Hee9Ocw+7225lrJly9qV01Z5tXcxuAu5UtWqVbV+/XqL8d9//90lw10OHz5sGK9atarpNZ2RkJBgGLf2AY2zzPrDHoB7A2d7zpaZmant27dbjNevX1++vr5u3BEA5D3Wes7vv/+uF154wfS6v//+u2GcXggAAADY586dO+revbuOHj1quK5Jkyb6+OOPc9Ub2QEA5rL2d/W0tDQ37QQAAJjF2o2kFy5ccFnt+Ph4xcTEWIzn1ptcAcAdDh48qF69eunu3bsW13h4eGjcuHF69tln3bKnkiVLGsZd2VMuXrxoGLe3p+SlawGAdevWad26dW6r99JLLxnGR4wYoa5duxquyUvncF66FgD3llKlShkO7goMDHTZC79CQ0MN40lJSTblyUtncF66FgD3loMHDxrGGzZs6LLaBQsWVIUKFXTixIks45cvX9aVK1dUrFgxq7ny0jmcl64FAMyWl87Ie+larNVzRl7tXZ7ZvQHAEXXq1DGM79q1yyV1d+7caTEWFBSkatWquaSuo/z8/Azjt2/fdmn9uLg4w7i1/QG4t3C252y//fabbty4YTHesmVLN+4GAPKmatWqGb7lPDt6oSTVrVvXJXUBAACAvCghIUE9e/a0Oiy+YcOG+vTTTxmEDgD3OKO3+kky/FsRAADImYKCggxvJj137pzFt9E76+zZs4bxihUruqQuAOR2v//+u3r27KnExETDde+8847at2/vpl1JERERhn8/tHbuO+PMmTOGcXt7SoUKFQzjuelaACA3oqeYg54CwBnly5fPttpm/S2KfmIO+gkAZ1y9etUwXrZsWZfWL1eunGH8ypUrNuWhp5iDngIgp+O8N4e7r8VaPWfk1d7F4C7kStWrV1dwcLDF+Pbt202/wen06dOGvzTUqVNH3t7eptZ0ltH3SJJu3brl0vrW8gcFBbm0PoDchbM9Z1u+fLnFWEBAgB5//HE37gYA8iYfHx/Vrl3bYjw6Olrnzp0ztWZGRoZ27NhhMR4SEsIQSwAAAMBGd+/eVa9evay+2bBOnTqaOXMmQ7sAAIYvzJCk8PBwN+0EAACYqWrVqhZjCQkJOn/+vEvqRkZGGsYrV67skroAkJsdPXpUPXr00J07dwzXDR8+XC+//LKbdvUnHx8f3X///RbjZ8+eVVJSkktqHzlyxDBepUoVu/Ldd999CgsLc7ieM8y+FgDIjegp5qCnAHCGtXtxExMTlZaW5pLat2/fNoz7+/vblId+Yg76CQBnxMbGGsbz58/v0vrW8tv6zDo9xRz0FAA5Hee9Ocy+lsqVK8vDw8Ni/OjRo3bls4fRtXh4eKhSpUouq+1KDO5CruTl5aWGDRtajF+7dk379+83tebq1asN44888oip9cxw3333GcZPnjzp0vrHjx83jBctWtSl9QHkLpztOVdcXJxWrVplMd6mTRuGMQKASZo0aWIYX7Nmjan1du/erevXr1uMN2zYUF5eXqbWBAAAAPKi5ORk9enTR/v27TNc99BDD2n27Nk23/gKAMjbDhw4YBgvXbq0m3YCAADMZDS4S5J+//13l9Q9fPiwYdzavgDgXnPixAl169ZNcXFxhusGDx6sV1991U27+m9GD/enp6dbHdroKGu9ypGH/oyu5fr167p69ardOW1hdC2BgYEqU6aMS+oCQE5DT3EePQWAMx544AGra6wN2HKUtbyhoaE256KfOI9+AsAZiYmJhvHg4GCX1s+XL59hPD4+3uZc9BTn0VMA5Aac984z+7wPDg42vC/x2LFjSklJsSunLVJSUnTixAmL8YiIiFw7q4DBXci1WrdubRhfvny5abXS09P1/fffW4x7e3urRYsWptUzS4kSJeTt7W0xfubMGZc1AEnavn27YTwiIsJltQHkTpztOdNnn31m8Q97np6e6tq1q3s3BAB5WIsWLQwHZa1cuVIZGRmm1fvuu+8M49Z6MwAAAIA/P0js37+/du3aZbjugQce0Ny5c3Pth4oAAPNt2rTJMM7bTwEAyJ3q1KljGLf2+6Ojdu7caTEWFBRkeCMxANxrzpw5o27duik2NtZwXb9+/dS3b1/3bCoL2dFTkpKSdOjQIYvxsmXLqlChQnbnzY5riYqK0qVLlyzGa9WqxcvMANwz6CnOoacAcFbRokVVqlQpwzXR0dEuqR0VFWUYL1q0qM256CfOoZ8AcJafn59h3FVDIP9ibQC+tf39J3qKc+gpAHILznvnuOq8r1u3rsVYUlKSfvvtN7tzWrN//34lJyc7tKecjsFdyLWaNm2qkJAQi/FVq1bpxo0bptT66aefDA+0Ro0aKTw83JRaZvLz81PFihUN16xevdoltQ8cOGD4PfPw8FD16tVdUhtA7sXZnvOcOXNGS5YssRh/6qmnGMQIACYqUKCAGjZsaDF+8eJFqw902uratWtas2aNxXhoaKgeeeQRU2oBAAAAeVVaWppee+01bd261XBdlSpVNG/ePJe/1RAAkHts3brV8HMKHx8f1axZ0407AgAAZqlevbrh73/bt29XZmamqTVPnz6tK1euWIzXqVPH8AWQAHAvOXfunLp06aKbN28aruvRo4dee+01N+0qa/Xr15eHh4fF+LZt20yvuXv3bsM3qRvd02Ckfv36hnFrf2N1xJYtWwzjjl4LAORG9BTn0FMAmKFRo0aGcVc8GG1L3tKlS9uci37iHPoJAGdZu/fs1q1bLq1vLb89L7SkpziHngIgt+C8d46rzvvsuBZrOXNz72JwF3ItX19ftW/f3mI8JSVF06ZNc7pOamqqpk6darjmpZdecrqOq1ibLPj5558rISHB9LqffPKJYbxKlSrKly+f6XUB5G6c7TlLUlKShg4danGCrZ+fn95880037woA8r6XX37ZMP7JJ58oPT3d6TpTp05VamqqxXiHDh3k6+vrdB0AAAAgr0pPT9ebb75pdbhuhQoVNH/+fIWGhrppZwCAnC4lJUXvvfee4ZomTZrI39/fTTsCAABm8vLyMryp9Nq1a9q/f7+pNa29vJGXtQDAn6KiotS1a1ddv37dcF3nzp01dOhQN+3KsgIFCqhq1aoW44cOHdLly5dNrWmtpzRu3NihvNWqVVOBAgUsxjdt2qSkpCSHclti9DIzif4IwLKQkBCdOHHCLf/UqVPHcC8bN240/PquXbvadE30FOfQUwCYoUmTJobxQ4cOuaSutcFdDzzwgM256CfOoZ8AcFaxYsUM4ydPnnRp/ePHjxvGre3vP9FTnENPAZBbcN47x1XnfYMGDeTj42MxvnbtWofyWpKZmal169ZZjPv4+FgdJpaTMbgLuVqXLl0MD4Rvv/1WBw4ccKrG3Llzde7cOYvxChUqOP0D7FtvvaWKFSta/Oett95yOPdTTz1lGI+JidHkyZMdzp+Vb7/9Vrt37zZc06JFC1NrAsg7ONtzhvT0dA0dOlRHjhyxuKZnz56677773LgrAMh+7jjfH3nkEVWoUMFi/NSpU5o3b55TNfbu3avvvvvOYtzHx0edO3d2qgYA5Ba5/Wd3AMA/ueNsz8jI0IgRI6x+MFmuXDktXLhQ+fPnd7omANzrXHm+Z2ZmmrhT67XGjx+v8+fPG65r166dezYEAABconXr1obx5cuXm1YrPT1d33//vcW4t7c392oBgKTLly+rS5cuunr1quG6jh07auTIkW7alXVGPSUzM1MrVqwwrdadO3f0888/W4yHh4c7/MZzT09PtWzZ0mI8MTHR8KENe124cMFwUGblypVVrlw50+oBQG5AT3EMPQWAWRo2bKjw8HCL8U2bNik+Pt7UmteuXdOePXssxr28vFSjRg27ctJPHEM/AWCGiIgIw/j27dtdVjs6OtrwPgcvLy+VKFHCrpz0FMfQUwDkNpz3jnHleR8aGqpGjRpZjF+8eFF79+51KHdWdu3apUuXLlmMN2nSRPny5TOtnrsxuAu5WpEiRdSxY0eL8fT0dA0ZMkTXrl1zKP/OnTs1Y8YMwzWDBg1yKLe7VK9eXdWqVTNcs3TpUi1YsMCUejt37tTYsWMN1/j5+alt27am1AOQ93C22y4zM1NpaWmm571796769++vn376yeKaatWqqU+fPqbXBgBIHh4eGjhwoOGaqVOnWh2Wa8m1a9f05ptvKiMjw+Kajh07qnDhwg7lBwAAAO4FY8eONXwoWvrzRqmFCxcavl0JAJAzjBw5UrNnzzb9YYj/lZ6erlGjRumbb74xXFe1alU9+uijLt0LAABwraZNmyokJMRifNWqVbpx44YptX766SfDm1wbNWpk+FAoANwLrl27pi5duhiel5LUtm1bq/fAulurVq3k5eVlMf7VV18pJSXFlFpff/21EhMTLcafeuopeXt7O5z/mWeeMYwvXLjQ4dxZ5TIa1P3000+bVgsAcgt6imPoKQDM4uPjY/jAemJion744QdTay5btszwmZNatWopLCzMrpz0E8fQTwCY4YEHHpCHh4fF+MWLF3X48GGX1F61apVhvGLFivL397crJz3FMfQUALkN571jXH3eW7sWs+bP2JIrt/cuBnch1xs4cKDhm+qvXLmibt26Wf2w/X9t375d/fr1M/zjVIMGDfTEE0/YlTc79O3b1+qaSZMmafz48U41tUWLFqlnz55KTU01XNehQwcVLFjQ4ToA8j7OdtukpKToscce06xZsxQTE2NKzoMHD6pNmzb65ZdfLK4JDAzUhx9+KB8fH1NqAgD+qXnz5qpfv77FeFpamvr06aOdO3falTcqKsrqG4TDw8NzzRBLAAAAIDu8//77+vrrrw3XlChRQosWLWIgLgDkErGxsfr444/1+OOPa9asWQ6/PMTIoUOH1K5dOy1btsxwnaenp95++23T6wMAAPfy9fVV+/btLcZTUlI0bdo0p+ukpqZq6tSphmteeuklp+sAQG528+ZNdevWTRcvXjRc98wzz2jChAmGDz9mh8KFCxvez3bjxg1THgSJi4vT3LlzLcY9PDyc7inVq1fXAw88YDF+7NgxrV692qka0p9voTf6/TsgIIAXEAO4J9FT7EdPAWC2F198UZ6elh/p/fzzz5WQkGBKrZiYGH3xxReGa4wGiVlCP7Ef/QSAWfLly6eqVasarrH2mYEj7ty5o/nz5xuuqVevnt156Sn2o6cAyI047+3njvP+iSeeUJEiRSzGN27cqEOHDjlVQ5L27dunzZs3W4wXLVpUjz/+uNN1spPjo+CAHCI0NFSjRo3SkCFDLK45c+aM2rZtq+HDh6tNmzaGf+CKj4/X7NmzNW/ePGVkZFhcFxQUlOPeqmVJs2bN1LhxY23dutVw3RdffKGdO3eqV69eatWqlc0DWbZs2aK5c+dqz549VtcWKFCAIQAArOJst921a9f0ySefaObMmWrcuLGaNWumRx991HDw2f/KzMzU3r17tXjxYv3888+Ga729vTVt2jSVKVPG2a0DuAelpaUZDozKirU3jScmJio6OtqunCEhIYZvOM8pxo4dq+eee87ilPfExER1795dPXr0UO/evRUUFGQxV0ZGhpYvX64pU6YoLi7OsO6oUaNyxfcHQM7A2W6fq1evGg4StldaWprd3ys/Pz8VKlTItD0AyHs4241NnTpVixYtMlwTEhKiiRMnOnROO6Jo0aJOvf0JwL2B8902sbGx+uSTTzR16lQ9+OCDatGihZo1a6YSJUo4lC85OVm//PKLfvjhB23atMnwDXh/6dGjhx5++GGH6gEAgJylS5cuWrx4scWXIH777bdq06aNHnroIYdrzJ07V+fOnbMYr1Chgh555BGH8wNAbhcbG6tu3brpzJkzhuueeuopTZo0yfAetOzUvXt3rVu3zmJ81qxZevLJJ1W6dGmHa0yePFmxsbEW402bNlW5cuUczv+X7t27a/DgwRbjH3zwgRo0aGDX/W//KTMzU++++67hS4iff/55h/MDQG5HT7EdPQWAK5QpU0YtWrTQmjVrsoxfunRJkydP1rvvvut0rbFjx+rWrVsW4yEhIXrmmWccyk0/sR39BIDZnnrqKUVGRlqMb926VatXr1arVq1Mq/nee+9ZfQ6lRYsWDuWmp9iOngIgN+O8t527znsfHx917txZU6ZMsbhm7Nix+uabb+Tr6+tQjeTkZKu/33bp0sXmuTY5FXfxI09o1aqVdu3apW+++cbimtjYWI0YMUIzZsxQq1atVLNmTd13333y9/dXfHy8zp49q927d2vdunW6c+eO1Zrjxo1z6uB3t/fff19t27bV9evXDdedOXNGw4cP1+TJk1W3bl09/PDDioiIUGhoqPLly6fExETFxsbqypUr2r9/v3bv3q2oqCib9uDl5aUpU6bk6JvxAeQcnO32SUlJ0caNG7Vx40Z5eXmpQoUKqly5sipVqqSIiAjly5dPISEh8vHx0d27d3Xz5k1duHBBhw8f1q5du3T58mWrNTw8PDR+/Hg1btzYDVcEIC+6evWq6dOv169fr/Xr19v1NQMGDNDAgQNN3YcrREREaNy4cXrzzTctrklPT9ecOXP01Vdf6amnnlKdOnVUtmxZBQcHKzExUZcvX9bBgwe1evVqXbp0yWrNF154QS1btjTzMgDkcZzt9nnxxRdtOo9tde3aNbu//3Xq1NGSJUtM2wOAvIez3dj3339vdc3t27f1yiuvuGE3f9q4caPDA2UA3Ds43+2TmZmpgwcP6uDBg5o4caLy58+vSpUqqVKlSipfvrzCwsKUL18+5cuXT0FBQUpNTVV8fLwSEhL0xx9/6MSJEzp27JgOHz5s11vRmzdvrtdff92FVwYAANypSJEi6tixo8W/x6Wnp2vIkCH6+uuvDd9ka8nOnTs1Y8YMwzW8YBHAvSw+Pl7du3fXiRMnDNc1a9ZMH374oby8vNy0M/tVr15djz76qH755Zcs44mJiRo8eLCWLFmi4OBgu/N/9913+vbbby3GPT09NWDAALvzZuXJJ59U5cqVdezYsSzj165d09ChQzV79myHXlgwY8YMbd++3WI8MDBQPXv2tDsvAOQV9BTb0VMAuMqAAQP0888/W3wI++uvv1bVqlXVoUMHh2t89tlnVj/H6969uwICAhzKTz+xHf0EgNnatm2r6dOnKykpyeKaESNGqFixYk69OOQvn376qVauXGm4pkqVKqpRo4ZD+ekptqOnAMjNOO9t587zvlOnTlq4cKHFGTTHjh3TuHHj9N577zmUf+zYsTp58qTFeOHChfXCCy84lDsnYXAX8oxRo0YpOjpaO3bsMFwXHR2tOXPmOFWrf//+at26tVM53K1w4cKaOXOmXn31VZuG19y8eVNr1qyxOMHfEe+8844aNmxoWj4AeR9nu2PS09N17Ngxiz/0O8LHx0cffPCBqdP2AQDWPf300zp79qxmzpxpuO727dv6+uuv9fXXXztcq2HDhnrnnXcc/noAAAAAAIC86tatW9q5c6d27tzpshotWrTQlClT5Onp6bIaAADA/QYOHKhVq1bp1q1bWcavXLmibt26ae7cuSpevLjNebdv364BAwYoLS3N4poGDRroiSeesHvPAJAXJCYmqmfPnoqMjDRc17RpU3388ccOPTjhbm+//ba2b9+ulJSULONHjx5Vr169NGPGDLvesr5y5UqNHDnScM3zzz+vatWq2bVfSzw9PfXOO+/opZdesrhm69atGjJkiCZPnix/f3+bc8+ZM0fTp083XNOrVy8VLVrU5pwAkBfRU6yjpwBwpXLlyunVV1+1+AxMZmamRo8ercTERHXt2tWu3BkZGZo2bZp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      "text/plain": [
       "<Figure size 2400x1148.7 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1172,
       "width": 2423
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_trace_dist(idata, combined=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d85672163f33b9a",
   "metadata": {},
   "source": [
    "The left column consists of a smoothed histogram (using kernel density estimation) of the marginal posteriors of each stochastic random variable while the right column contains the samples of the Markov chain plotted in sequential order. The `beta` variable, being vector-valued, produces two density plots and two trace plots, corresponding to both predictor coefficients.\n",
    "\n",
    "In addition, the {mod}`~arviz.summary` function provides a text-based output of common posterior statistics:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "727e8fd810d89a04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>eti89_lb</th>\n",
       "      <th>eti89_ub</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>alpha</th>\n",
       "      <td>1.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[0]</th>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[1]</th>\n",
       "      <td>2.2</td>\n",
       "      <td>0.54</td>\n",
       "      <td>1.3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sigma</th>\n",
       "      <td>1</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        mean     sd eti89_lb eti89_ub\n",
       "alpha    1.2    0.1     0.99      1.3\n",
       "beta[0]    1    0.1     0.83      1.2\n",
       "beta[1]  2.2   0.54      1.3        3\n",
       "sigma      1  0.074      0.9      1.1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "az.summary(idata, kind=\"stats\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20f5cfeabe8a8d99",
   "metadata": {},
   "source": [
    "## Case study 1: Educational Outcomes for Hearing-impaired Children\n",
    "\n",
    "As a motivating example, we will use a dataset of educational outcomes for children with hearing impairment. Here, we are interested in determining factors that are associated with better or poorer learning outcomes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1da1746a6a4cbea",
   "metadata": {},
   "source": [
    "### The Data\n",
    "\n",
    "This anonymized dataset is taken from the Listening and Spoken Language Data Repository (LSL-DR), an international data repository that tracks the demographics and longitudinal outcomes for children who have hearing loss and are enrolled in programs focused on supporting listening and spoken language development. Researchers are interested in discovering factors related to improvements in educational outcomes within these programs.\n",
    "\n",
    "There is a suite of available predictors, including:\n",
    "\n",
    "* gender (`male`)\n",
    "* number of siblings in the household (`siblings`)\n",
    "* index of family involvement (`family_inv`)\n",
    "* whether the primary household language is not English (`non_english`)\n",
    "* presence of a previous disability (`prev_disab`)\n",
    "* non-white race (`non_white`)\n",
    "* age at the time of testing (in months, `age_test`)\n",
    "* whether hearing loss is not severe (`non_severe_hl`)\n",
    "* whether the subject's mother obtained a high school diploma or better (`mother_hs`)\n",
    "* whether the hearing impairment was identified by 3 months of age (`early_ident`).\n",
    "\n",
    "The outcome variable is a standardized test score in one of several learning domains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fe645a13be952c2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>score</th>\n",
       "      <th>male</th>\n",
       "      <th>siblings</th>\n",
       "      <th>family_inv</th>\n",
       "      <th>non_english</th>\n",
       "      <th>prev_disab</th>\n",
       "      <th>age_test</th>\n",
       "      <th>non_severe_hl</th>\n",
       "      <th>mother_hs</th>\n",
       "      <th>early_ident</th>\n",
       "      <th>non_white</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>83</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   score  male  siblings  family_inv  non_english  prev_disab  age_test  \\\n",
       "0     40     0       2.0         2.0        False         NaN        55   \n",
       "1     31     1       0.0         NaN        False         0.0        53   \n",
       "2     83     1       1.0         1.0         True         0.0        52   \n",
       "3     75     0       3.0         NaN        False         0.0        55   \n",
       "5     62     0       0.0         4.0        False         1.0        50   \n",
       "\n",
       "   non_severe_hl  mother_hs  early_ident  non_white  \n",
       "0            1.0        NaN        False      False  \n",
       "1            0.0        0.0        False      False  \n",
       "2            1.0        NaN        False       True  \n",
       "3            0.0        1.0        False      False  \n",
       "5            0.0        NaN        False      False  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_scores = pd.read_csv(pm.get_data(\"test_scores.csv\"), index_col=0)\n",
    "test_scores.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b1de5e732cbdedd5",
   "metadata": {},
   "outputs": [
    {
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VV5o1a5YGDBig22+/XaGhoZ5e5g2K0/X/9ddfa9euXTbjFStW1MyZMxUYGOjU/MOGDVPr1q1txjMzM13apAL8lbfWmNDQUA0aNEjffvutXn75ZcXExLhk3vvvv1/vvvuuSpUqZThu4cKFunz5sktyUmNQnHlrjXHG77//rhkzZhQY69u3r8vqlKOoMbAKGscAGHr//feVnZ1tM96zZ081b968SDmeeOIJ1apVy2Z87969SkhIKFIOAIUXEBCgHj166KuvvtLUqVNVrVo1l+eoVauW3n77bcM3OHJzc/Xxxx8XOZe9426HDBmiGjVqFCnHc889Z7gbwHfffadDhw4VKQcAafbs2Tp58uQNPw8JCbHZUGY2agxgbXPmzNGBAwdsxgcOHKhx48bJ39+at0eoMYD1/PDDD4bxuLg4uzssF1aHDh106623Go75/vvvnZ6fGgM4rkKFChoxYoTeeecdJSYm6ttvv9WcOXM0ePBgtWrVSuHh4Z5eYqEUp+v/vffeM4yPHTvW4V3T/srPz09TpkwxfGC7cuVKpaamOp0D+JO315iSJUtqwIAB2rhxo8aMGVPkF2kK0rx5c5vNH39KT0/X559/7pJ81BgUJ95eY4oiPj5eV65cueHnUVFRGj16tAdW9AdqDKzCmndGAVhCVlaWVqxYYTMeFBSk4cOHFzlPYGCgnnnmGcMxH374YZHzACicWbNm6Z///KcqV65sap4mTZqod+/ehmPWrl1bpBznz5/XV199ZTNevnx5xcXFFSmHJJUpU0ZPPPGEzXh+fr7h7o0A7Nu5c6eWLFlSYGzYsGEu3SmosKgxgLUdO3ZM77//vs34XXfdpTFjxrhxRY6hxgDWc+3aNR0+fNhwzP333+/SnPbm2717t1PzUmMA59SuXVtDhw5Vu3btFBkZ6enlOKU4Xf+//fab4fHBDRs2VNeuXYuUQ5Jq1KihXr162YxnZmZq1apVRc4DeHuNWbp0qZ5//vkiNTkURqdOndS+fXvDMUW9ryxRY1D8eHuNcdY333xj87vP+PHjnd5htaioMbASGscA2LR582bD7Xy7deumChUquCRXx44dDR/4btmyRZcuXXJJLgDGjN4GdbVhw4YZvunw+++/F+nt07Vr1yo3N9dmvG/fvipZsqTT8/9V7969FRISYjO+bt065eTkuCQX4GtycnI0YcKEAq/nBg0auOShhjOoMYC1vfLKKzZ3Ty5btqxeeukllxzDbRZqDGA9p06dUn5+vs145cqVDXdUd0ZsbKxh/MSJE07NS40BfFdxuv7tHR/cv39/p+f+X3FxcYbfHe2tBfAF7ryvPGrUKMP4zp07lZGRUaQc1BjA+6WlpemFF14oMNa+fXt17tzZzSv6P9QYWAmNYwBssvdH4qGHHnJZroCAAMO3aLOzs7VhwwaX5QNgDZGRkXaPuzU6392eNWvW2Iz5+fmpR48eTs/9v0qXLq177rnHZjwlJaVIx8gAvuzdd9/V3r17b/i5v7+/4uPjDY+9NRM1BrCuQ4cO6euvv7YZf/rppy3/di01BrCetLQ0w3j16tVdnjM6OtrwON2CjlspDGoM4LuKy/Wfl5en9evX24yHhIS49GFwzZo1De9h7d69m6N3ATdq0KCBqlWrZjOek5NT4L2kwqLGAMXDjBkz9Pvvv9/w85CQEE2aNMkDK/oDNQZWQ+MYgALl5uZq69atNuNRUVF2mz0cZW+7zc2bN7s0HwBraNOmjWH8+PHjTs2bkpKi5ORkm/Fbb71VVapUcWpuW6hjgOsdOXJEb775ZoGxvn37KiYmxs0r+gM1BrC2xYsX29wVqFy5curTp4+bV+QYagxgTXl5eYZxMxpS/f39DXfvMNo1yBZqDOC7itP1v2vXLp0/f95m/G9/+5tKlSrl1Ny2dOnSxTCekJDg0nwAjLVu3dow7ux9ZYkaAxQHSUlJWrFiRYGxYcOGGZ6EZTZqDKyGxjEABdq5c6fhm7SxsbEuP9albt26qly5ss14UlISRxcAxVDFihUN46mpqU7Nm5iYaHiMjL0jX5zRokULBQUF2YzzFj3gmPz8fE2aNEnXr1+/IRYVFaXRo0d7YFV/oMYA1pWZmWm4e3KvXr0MryUroMYA1lSmTBnDuNF1WxRG84aHhzs8HzUG8F3F6fpPTEw0jJvxWdq2bWsYN3oRG4DrVapUyTDu7H1liRoDeLvr169r4sSJBX7vadCggeLi4jywqv9DjYHV0DgGoEBJSUmG8ZYtW5qSt1WrVjZj6enpRTqyDoA1lStXzjB+9epVp+bdtm2bYdyMOhYcHKxbb73VZvzQoUO6cOGCy/MCxdUnn3xi8zvJ+PHjFRYW5uYV/R9qDGBd3377reH3h27durlxNc6hxgDWVLZsWcP4pUuXXJ4zLy9Ply9fthm3t6aCUGMA31Wcrn97n8XoPrOzqlevbrg7yU8//eTUTpAAnGPWfWWJGgN4u3nz5uno0aM3/Nzf31/x8fEqUaKE+xf1F9QYWA2NYwAKZLRluSTTjoW65ZZbDOM0jgHFT0E7Cf1VyZIlnZrXqF4EBASoUaNGTs1rj736SB0DCufcuXOaOXNmgbH27durc+fObl7Rf6PGANa1bt06m7Fq1aqpXr16blyNc6gxgDVFRkYaHuF27Ngxl+c8ceKE4RGZDRs2dHhOagzgu4rT9W/0OxUqVLC7E5GzjD5LZmZmgQ+pAZjDrPvKEjUG8GZ79+7Ve++9V2Csb9++pj3jdgQ1BlZD4xiAAu3evdtmLDQ0VDVr1jQlb+PGjQ3je/bsMSUvAM85e/asYdyZo1dycnK0f/9+m/HatWsrODjY4XkLw95NVuoYUDjx8fEFHpsdEhKiSZMmeWBF/4caA1hXTk6OfvjhB5vxFi1auHE1zqHGANZ222232YydPXtWhw8fdmm+LVu2OL2eglBjAN9VnK7/M2fOGO7yaFYDXGHmNrqvDsC1zpw5Yxh35r7yn/NSYwDvlJubq/HjxysnJ+eGWFRUlEaPHu2BVf03agysiMYxADfIzMzUyZMnbcZr1qwpPz8/U3LXrl3bML5v3z5T8gLwHHs7HFavXt3hOY8ePaqsrCybcXu1piioY0DRffnll/r6668LjA0bNsxwS213oMYA1rVr1y5lZGTYjBsdk2QV1BjA2uwdd/uvf/3Lpfk+//xzm7HAwEDdfffdDs1HjQF8V3G6/o0a4AqTryioZYB12Nut0Jn7yhI1BvBm77//vs1nTuPHj1dYWJibV3QjagysyLOHtwKwpJMnTyo/P99mvEaNGqblDgsLU2RkpFJSUgqMnzhxwrTcANwvLy9PmzdvNhzToEEDh+e1VyucvWlQGPZqJHUMMHblyhXFx8cXGGvQoIHi4uLcvKIbUWMA6/rpp58M40bHVKakpGjz5s3atm2b9u/frzNnzig9PV25ubkKDg5WeHi4qlatqtq1a6tp06Zq2bKlKUcHUGMAa7vzzjtVs2ZNm0d4LFmyRP369VO5cuWKnOubb77Rjh07bMa7dOmiChUqODQnNQbwXcXp+i9OnwWAc65cuaJffvnFZtzPz0/169d3am5qDOCdTpw4oTlz5hQYa9++vTp37uzmFRWMGgMronEMwA2MdhuTpOjoaFPzR0dH22wcS0lJUWZmpkJCQkxdAwD3SEhI0IULF2zGw8PDnWoc82QdCw4OVrly5XTx4sUC4/bWBvi66dOn6/z58zf83N/fX/Hx8SpRwvP/hKHGANa1d+9ew3hBN8h27typhQsX6quvvirwKANJSktLU1pamk6dOqWkpCQtX75cfn5+uvXWW9WnTx917dpVgYGBLvkM1BjA2vz8/DRu3Dg9+eSTBcYzMzM1cuRIvffeewoKCnI6z9GjRzV+/Hib8ZCQEA0bNszheakxgO8qTte/Jz+LvbmpZYB7rFmzRtnZ2Tbj9evXV9myZZ2amxoDeKdJkybp6tWrN/w8JCREkyZN8sCKCkaNgRVxVCWAG5w+fdowXr58eVPz23sr1976AHiPRYsWGcY7dOggf3/Hv65YuY5dunSpwH+8AJC2bdumlStXFhjr27evYmJi3LyiglFjAOs6cOCAzVipUqUUGRn5n/996dIljRs3Tr169dK6detsNo3Zkp+fr+3bt2vs2LHq1KmTvvnmG6fX/VfUGMD62rdvr4ceeshmPCkpSSNGjNDly5edmj85OVmPP/64UlNTbY559tlnnXoTnRoD+K7idP3b+yyO7sboiFKlSik0NNRmnHvXgPlyc3P1/vvvG47p2LGj0/NTYwDvs2rVKn3//fcFxoYNG6aqVau6eUW2UWNgRTSOAbjBpUuXDONm/sGSpKioKMO4vfUB8A4JCQlKTEw0HPPAAw84NTd1DPA+169f18SJEws8LjsqKkqjR4/2wKoKRo0BrOvIkSM2Y39tGtu5c6d69OihVatWFVh3HHXq1CkNHTpUzz77rDIzM4s0FzUG8A5TpkxR27Ztbca/++47PfDAA1q9erXhbhh/dfHiRb3++uvq06ePTp06ZXPcI488okcffdThNUvUGMCXFafr395Ys5vgjP6/unz5sku+XwKwbcWKFTaPDZf+2LW+e/fuTs9PjQG8y8WLFzV9+vQCYw0aNFBcXJybV2SMGgMr8vw5LwAsx+iNVkkqXbq0qfntzW9vfQCs7/r165o2bZrhmCZNmuiOO+5wan5vqGNVqlQxdQ2At5k7d66OHTtWYGz8+PEKCwtz84pso8YA1pSamqpr167ZjIeHh0v6YyegwYMHm7KrzZo1a3TgwAEtWrTI7k7KtlBjAO8QFBSkefPm6bnnntOGDRsKHHP69GmNHTtWr7zyitq2batmzZqpRo0aCg8PV3BwsNLS0pSamqq9e/fq559/1pYtW5SVlWWY97HHHjM8wtIeagzgu4rT9W/vs/z5vc8sRvPn5ubqypUrKlOmjKlrAHzVn432Rjp37uzUzqx/osYA3uXFF18s8Lr19/dXfHy8SpSwVksMNQZWZK2rBIAl2DtKwewHt/bmp3EM8H6vvvqq4Y4gkjRy5Ein57d6HXP2yBqguNq9e7fNo2vbt2+vzp07u3lFxqgxgDVduHDBMF6yZEnt2bNHTz75pKlHoe3bt0+PPPKIli9froiICId/nxoDeI+SJUtq9uzZWrFihWbMmKErV64UOO78+fNatWqVVq1a5XSuiIgIxcfHF+nYJYkaA/iy4nT9G40NDAxUUFBQoedyRmE+Cw9cAXNMnjzZcLeewMBADRs2rEg5qDGA9/j222+1bt26AmN9+/ZVTEyMm1dkHzUGVkTjGIAb2DtaJSQkxNT89uY38yEPAPNt2rRJ77//vuGYTp06qXXr1k7nsHodK+oRVkBxkpubqwkTJignJ+eGWEhIiCZNmuSBVRmjxgDWdP78ecP4tWvXNHz4cMNr5Oabb9bdd9+tBg0aqEKFCgoPD1dqaqouXryonTt3auPGjTpw4IDdtRw5ckTDhw/XokWLHH6zlRoDeJ9evXqpc+fOWrJkiZYtW2a3HjkiIiJC/fr1U1xcnEuaOqgxgO8qTte/0djQ0NBCz+MsahngGR999JG+/vprwzGPPfaY6tSpU6Q81BjAO6Snp+uFF14oMBYVFaXRo0e7eUWFQ42BFdE4BuAGBT24/Suzt/QMDAw0jGdnZ5uaH4B5Tp48qeeee87wjPSIiIgiHb0i2a9j9upMUVHHgMJbtGiRdu3aVWBs2LBhqlq1qptXZB81BrAmey+Y7Nu3z2bs9ttv14QJE9SgQQObYzp06KBRo0Zp+/btio+Pt1m7/pSUlKS3335bQ4cONV74/6DGAN6pdOnSGjp0qJ5++mmtXr1aL7/8cpF2TK9fv76effZZtW7d2qVvnFNjAN9VnK5/o8/ijuOoqGWA+/3222966aWXDMdUr15dw4cPL3IuagzgHWbNmqWzZ88WGBs/frzpu6k6ixoDK/L39AIAWI+9Pwhm/9GyN7+9mxwArCk9PV1Dhgyx+/Bk8uTJqlixYpFy2atjAQEBRZrfHuoYUDjHjx/X3LlzC4w1aNBAcXFxbl5R4VBjAGu6fv26w7/j5+en559/XkuXLjVsGvurpk2b6tNPP9VTTz1ld+z8+fPtHs/9v6gxgHdKT0/XO++8o27duun5558vUtOYJO3fv1/jxo3T5MmT9euvv7pmkaLGAL6sOF3/Rp/F7M9RmBzUMsC1zp07p6FDh9q99qdPn+6S3ROpMYD1/fzzz1q2bFmBsfbt26tz585uXlHhUWNgRTSOAbiBvT8IZv/Rsjc/nc6A98nNzdWzzz6r/fv3G47r1auXunTpUuR8nt45kS/eQOFMmjRJ165du+Hn/v7+io+Pd8sbVs6gxgDWlJWV5dB4Pz8/TZ06VQMGDHA4l7+/v0aNGmX32IPs7GzNnj3bobmpMYB3yc7O1rx583TXXXdp1qxZOnjwoMvmTklJ0apVq/Twww+rf//+2rFjR5HnpMYAvqs4Xf+e3qmDJljAfa5evaohQ4bo999/Nxw3fPhwNWvWzCU5qTGAtWVlZWnixIkFnmwTEhKiSZMmeWBVhUeNgRXROAbgBvb+YOTl5ZmaPzc31zBu1YfIAGybOnWq/v3vfxuOadSokcu+0NurE/bqTFHZm98db40AVvfpp58qMTGxwFjfvn0VExPj5hUVHjUGsCajo7AL0qdPHz388MNFyvnkk0+qU6dOhmO+/PJLnTx5stBzUmMA73H48GH17t1bc+bM0ZUrV0zNlZiYqL///e+aPXt2kW7kU2MA31Wcrn+jz2L255A8/+I14CtycnI0atQo7dq1y3DcXXfdVagdoQuLGgNY2/z583Xo0KECY8OGDVPVqlXdvCLHUGNgRXRfALiBvbONze40tje/vfUBsJY5c+Zo+fLlhmMqVqyoN954Q0FBQS7Jaa9O5ObmmvrllzoGGLtw4YJmzJhRYCwqKsruDj6eRo0BrMmR7xHR0dEaM2aMS/JOmTJFP/74o1JSUgqM5+XlacWKFRo1alSh5qPGAN7ht99+0+OPP660tDTDcf7+/mrZsqVatGih5s2bq3LlyipTpoyCg4OVlpam1NRUHT16VD/++KO2bt2qffv22ZwrNzdXb775pnbs2KH58+erVKlSDq+bGgP4ruJ0/QcGBtqczx0PXO3loJYBRZefn68JEybou+++MxxXv359zZw5U35+fi7LTY0BrOvAgQNasGBBgbEGDRooLi7OzStyHDUGVkTjGIAb2Hv7zOyjIrmJCBQfixcv1rx58wzHREREaOHChapSpYrL8tqrY1lZWS5rUisIdQwwFh8fr8uXLxcYGz9+vMLCwty8IsdQYwBrcuS//UGDBik0NNQleSMjI/XII49o7ty5Nsd8/fXXhW4co8YA1rdnzx4NHDjQsGnMz89PDz30kAYNGqRatWoVOCYyMlKRkZGqXbu2/va3v0n6Y2exN998U0lJSTbn/v777zV06FDNnz/f4XpAjQF8V3G6/o0+i9n3riVqGeAOL730kj777DPDMdWqVdO7776r0qVLuzQ3NQawpry8PE2YMKHA69Df31/x8fFecWoVNQZWxFGVAG4QEhJiGM/MzDQ1f0ZGhmE8ODjY1PwAXGPFihV6+eWXDceEhoZqwYIFqlu3rktzW72O2VsfUJxt3LhRGzZsKDDWvn17de7c2c0rchw1BrCmwj7oDA0NVffu3V2a++GHHza88Xfo0CGdPn26UHNRYwBry8zM1IgRIwyPpixbtqzefvttTZs2zWbTmC2tWrXSkiVLNHr0aMOdf7Zs2aKZM2c6NLdEjQF8WXG6/o3G2svjCtQywFyzZ8/WkiVLDMdERUVp0aJFqlixosvzU2MAa/rggw+0Y8eOAmN9+/ZVTEyMexfkJGoMrIjGMQA3KFOmjGHc7D9a9uaPiIgwNT+AoluzZo0mTZqk/Px8m2OCg4P19ttvm/Jl3up1zN76gOIqPT1dL7zwQoGxkJAQTZo0yc0rcg41BrCmwv63f9ddd7lst7E/RUVFqWXLloZjfv3110LNRY0BrG3mzJk6fvy4zXh4eLg+/PBDtWvXzukcfn5+evLJJ+2+iPPBBx/ohx9+cGhuagzgu4rT9W80Njs7W1lZWYWeyxnUMsA8CxYs0Jtvvmk4JjIyUosXL1a1atVMWQM1BrCe06dP6/XXXy8wFhUVpdGjR7t3QUVAjYEV0TgG4Ab2/iAYvVXrCvbm5w8WYG3ffPONxo4dq7y8PJtjgoKC9MYbb+j22283ZQ3UMcCaZs6cqXPnzhUYGzZsmKpWrermFTmHGgNYU2FfMGnatKkp+Zs0aWIY3717d6HmocYA1nXq1Cl9/PHHNuN+fn6aPXu26tSp45J83bt311NPPWUznp+frxkzZjg0JzUG8F3F6fq38mfx9/dXeHi4qfmB4mrp0qV65ZVXDMeUKVNGCxcudNn3LVs5jFBjAPebPHmyzd1Rx48fr7CwMDevyHnUGFgRjWMAbhAZGWkYP3/+vKn57c1ftmxZU/MDcN6mTZs0cuRIwzPSAwMD9frrrys2Nta0dVDHAOv56aefbD5obdCggeLi4ty8IudRYwBrKux/+/YavJxlb95Tp04Vah5qDGBdH3zwgXJzc23GO3furNatW7s059ChQ1W5cmWb8V27dikpKanQ81FjAN9VnK5/e5/lwoULhZ7LGUafpUyZMvLz8zM1P1AcrVixQi+++KLhmNDQUL377rtq2LChqWuhxgDW8vnnn2vz5s0Fxtq3b6/OnTu7eUVFQ42BFdE4BuAGRjckJfP/YNmb31t2IwF8TWJiooYPH67s7GybYwICAjRz5kzdfffdpq7FynWsbNmynBEPn5OTk6MJEyYUeHytv7+/4uPjVaJECQ+szDnUGMCaypQpU6j//qOjo03Jb2/es2fPFmoeagxgXZ9//rlhfPjw4S7PGRQUpMGDBxuOWblyZaHno8YAvqs4Xf/2PouZTXDXrl1Tenq6zTj3rgHHrV69WpMmTSrwvtGfgoOD9c477ygmJsb09VBjAOu4cuWKXnrppQJjISEhmjRpkptXVHTUGFiR9zydAeA29h54FPZNeWedPHnSZiwyMpKbiIAF/fjjjxoyZIiuX79uc4y/v7/++c9/6t577zV9PZ6sY1evXtXFixdtxs16WA1YWWZmpo4cOVJgrGPHjoqMjDT8++8Iozok2W/ciIiIsLu1OTUGsK7o6Gjt37/fcIxZW+6XLl3aMG50Y+6vqDGANR06dMjw+qhbt65pRyZ17NhRU6dOtfkw1ZEdx6gxgO8qTte/Jz+LvX+7UssAx6xbt07/+Mc/lJeXZ3NMyZIlNX/+fN12221uWRM1BrCOU6dO6dKlSwXGHn74YeXn57vsvrLRSTqS/euzXLlyCg4OtpuHGgMronEMwA3s/VE4duyYabnT09OVkpJiM84fLMB6tm/frsGDB+vq1as2x/j5+Wnq1Km6//773bKmatWqGcbNrGPHjx83jFPHgP+2YcMGbdiwwW35HnnkEcP4uHHj1L9/f8Mx1BjAuqpXr27YOBYSEqKAgABTcpcpU8Ywfu3atULNQ40BrGn79u2G8TZt2piWu3z58qpfv7727dtXYPz06dM6c+aM3TfXJWoM4MuK0/VfnD4L4Mu+/vprjRkzxvAo8MDAQM2dO1etWrVy27qoMYB3WLx4sRYvXuy2fPZO0pk3b546dOhgdx5qDKyIoyoB3CA0NNTwD8ORI0cMtwwuisOHDxvGb7rpJlPyAnDOb7/9pieeeEKZmZmG4yZMmKBevXq5aVVSzZo1FRQUZDNur9YUxaFDhwzj1DHA+1FjAOuqW7eux3K76t9I1BjAmuztWlq7dm1T89vbzezMmTOFmocaA/iu4nT9169f3zDuTZ8F8FXfffedRo0aZbjDT4kSJfT666+rXbt2blwZNQaAuagxsCIaxwAUqFGjRjZjGRkZOnr0qCl5k5OTDeMNGzY0JS8Ax+3evVuDBg1SWlqa4bixY8fq0UcfddOq/hAYGKh69erZjB8+fLjQu344ateuXYbxm2++2ZS8ANyHGgNYV+PGjQ3jmZmZdo8ecNaVK1cM46VKlSrUPNQYwJpSU1MN42XLljU1v735bR3f8r+oMYDvKk7Xf5UqVRQREeF0vqKglgFFl5CQoBEjRig7O9vmmICAAM2cObNQu/e4GjUGgJmoMbAiGscAFMiocUz6Y5chM+zcudMwbm9dANxj3759GjBggC5fvmw4buTIkXr88cfdtKr/ZvTgODc3126jqrPs1Ue+eAPFAzUGsKZbbrnF7hh7DV7OsjevvaMs/4oaA1iPvV2Ww8LCTM1funRpw3h6enqh56LGAL6rOF3/Rp/l/PnzdneKdJbRZwkJCVGtWrVMyQsUF4mJiRo2bJiysrJsjvH399dLL72kLl26uHFl/40aA8BM1BhYDY1jAArUokULw/gPP/xgSt7ExESbsdDQULs7CAAw36FDhzRgwAC7b9w//fTTGjJkiHsWVQBP1LFr165px44dNuO1a9dWhQoVXJ4XgPtRYwBrqlSpkqpXr2445uTJk6bkPnHihGG8UqVKhZ6LGgNYT8mSJQ3jZjWl/sneSzv21vdX1BjAdxWn698Tn+XEiRM6deqUzXjz5s0VEBDg8rxAcfHjjz9qyJAhhrsb+vn5aerUqXrggQfct7ACUGMAmIkaA6uhcQxAgWJiYgzflt26davy8/NdmvPgwYM6c+aMzXiLFi1UokQJl+YE4JgjR44oLi5OFy9eNBw3aNAgPfPMM25aVcFatWolPz8/m/EtW7a4POe2bdsM35Zr06aNy3MC8AxqDGBdsbGxhvFff/3VlLz25q1Ro0ah56LGANZjb0exwh4V6Sx784eGhhZ6LmoM4LuK0/XfqlUrw3hCQoJT8xrZvHmzYZxaBti2fft2DR48WFevXjUcN3HiRPXq1ctNq7KNGgPATNQYWA0dGAAKFBAQoDZt2ujLL78sMH7u3Dn9/PPPuu2221yWc+3atYbxO++802W5ADjuxIkT6t+/v86fP284rl+/fhozZoybVmVbuXLl1KhRI5vHLOzYsUOnT59WlSpVXJbTXh1r27aty3IB3iQ8PFz79u1zS67HHntMSUlJNuMbN25UdHR0kfNQYwDrateunT766COb8R07duixxx5zeV57jWOFOUbzT9QYwHoqV65sGN+/f7+p+ffu3WsYt7e+v6LGAL6rOF3/jRs3Vrly5Wy+3Pjtt9/q2rVrKlWqlFPzF2TdunWGce5fAwXbuXOnBg0aZPfo73HjxumRRx5x06qMUWMAa2jYsKHb7iv/7W9/M9yRy5XroMbAathxDIBN3bp1M4yvXLnSZblyc3P1r3/9y2a8RIkS6ty5s8vyAXDM6dOnFRcXZ/dc9T59+mj8+PFuWpV9RnUsPz9fq1atclmutLQ0ff311zbjkZGRvLEBFDPUGMCa2rRpo8jISJvxb7/9Vunp6S7Nee7cOcOm1YCAADVp0sShOakxgLXUrFnTML5161bTcp88eVJHjx61GQ8ICHC4MZ4aA/iu4nL9+/v7q0uXLjbjmZmZ2rBhg1NzF+TYsWP6+eefbcYbNmyoOnXquCwfUFzs2bNHAwcOtPtvsGeffVb9+/d3z6IKgRoDwEzUGFgNjWMAbGrfvr3Cw8NtxtesWaMLFy64JNdXX31l2MUdGxtr+PAHgHnOnTunuLg4w2tUknr06KEpU6a4Z1GF1LVrV8Mz2ZctW2Z4XIIjPv74Y8O35u69916O2wWKGWoMYE2BgYGGD0QzMzP1+eefuzTnihUrlJOTYzPevHlzRUREODQnNQawlltuucXweLfjx49r586dpuRes2aNYfymm25y+E10agzgu4rT9d+9e3fD+OLFi52eu6C58vPzbcbvu+8+l+UCiosDBw5owIABunz5suG44cOHa/DgwW5aVeFRYwCYiRoDK6FxDIBNQUFBhmfJZ2Vlac6cOUXOk52drdmzZxuOscr2xICvuXjxogYMGKDjx48bjuvevbumTZtm+CDFE6KionTPPffYjF+4cMElX74vX76sBQsW2Iz7+flRx4BiiBoDWNff//53+fvbvuXx7rvvKiMjwyW5UlJStHTpUsMx9nZzLgg1BrCW0qVLq1GjRoZj7N3bcEZaWpoWLlxoOKZly5YOz0uNAXxXcbr+Y2JiDI8D37Nnj92jMgvj2LFjWrFihc14cHCwevToUeQ8QHFy9OhRDRgwQJcuXTIc9+STT2rYsGFuWpVjqDEAzESNgZXQOAbAUFxcnAIDA23GP/30U/3yyy9FyrFgwQIdOXLEZrx+/fqcqwx4QGpqqgYMGKBDhw4Zjrv33nv18ssvGz6c9aSBAwcaxufPn69jx44VKceMGTOUmppqM96+fXu2+QWKKWoMYE21atUyPOr+1KlTmjFjhktyTZkyxfBhSHh4uN23SG2hxgDWcu+99xrGExISXHJj/69efPFFu7t0GNU7I9QYwHcVp+vf3meZPn263cYVI/n5+XrhhReUnZ1tc8xDDz2ksmXLOp0DKG5OnDihuLg4nT9/3nDc448/rtGjR7tpVc6hxgAwEzUGVmHNJ7wALKNixYrq06ePzXhubq5Gjx6tc+fOOTV/YmKi5s2bZzhmxIgRTs0NwHnp6ekaOHCg9u3bZziuQ4cOeuWVVwyPOPC0mJgY3XXXXTbjmZmZGjlypNLT052a/7PPPtOnn35qM+7v72/Zt+YAFB01BrCuYcOGGb4E8/HHH+uTTz4pUo533nlHX375peGYgQMHKjg42Kn5qTGAtfTo0cPukZDjxo0r8gt2f3rjjTe0evVqwzE333yzmjRp4tT81BjAdxWn679Tp05q2LChzfi5c+c0ZswYw2PFjcybN09bt261GQ8JCdETTzzh1NxAcXT27Fn1799fZ8+eNRz36KOPauzYsW5alfOoMQDMRI2BVdA4BsCu4cOHG3YanzlzRgMGDNCpU6ccmnfr1q16+umnDf/YtW7d2nDrdACul5mZqSeeeELJycmG49q3b6/XXntNJUqUcNPKnPePf/xDQUFBNuO7d+/W4MGDHX5zY/Xq1Ro/frzhmIceekiNGzd2aF4A3oUaA1hTnTp19Pjjj9uM5+fna9KkSU4dxZSXl6fXX39ds2bNMhxXtWpV9e/f3+H5/4oaA1hHZGSkHn74YcMx169f14ABAwyPArHn6tWrGjdunObOnWt37JAhQ5zOI1FjAF9WXK5/f39/TZgwwXBMQkKCRo8erWvXrjk099tvv223Fg8ePFiVKlVyaF6guLp48aL69++vkydPGo7r3bu33evWKqgxAMxEjYFV+OXn5+d7ehEArG/t2rV2twyOiIjQ2LFj9cADDxgeWZeenq633npL7733nvLy8myOCw0N1WeffaYaNWo4vW4AjsnKytLgwYOVmJhoOK5hw4Z69dVXDW8wukqJEiVc8sX1nXfesftwt0qVKpowYYLuvvtuw3EXLlzQq6++qpUrVxqOq1ixov71r3+xzS/gRo899piSkpJsxjdu3Kjo6GiX56XGANZ07do19ezZUwcOHDAc16JFC40fP14NGjSwO+eOHTsUHx9vt8ne399fS5Ys0e233+7QmgtCjQGsIy0tTffee6/do5ckKTY2Vk888YRatmxZqLmzsrK0evVqLViwQMePH7c7vk2bNlq4cGGh5jZCjQEck5OTY3cnnf/166+/Gt5b7dSpk5577jmH5gwPD1d4eLhDv/O/itP1P2nSJH388ceGY+rXr6/JkyfrtttuMxx34sQJvfTSS/r2228NxzVo0EArVqxwy/0x+A5vrTFXrlzRo48+avcEi9jYWE2ZMkV+fn4OrccZJUuWVIUKFVwyFzUGxYW31hh3+Nvf/ma4SYq9+lYU1Bh4Go1jAApt4sSJhTrKJTo6Wl27dlXTpk1VpUoVlSpVSunp6Tp8+LC2bdumDRs2KC0tze48s2bNUrdu3VyxdACFdPLkSbs3At2tatWqdr/gFkZ+fr4GDRqkLVu22B1bv359de7cWU2aNFHFihUVFBSky5cv6+DBg9q6dau++eYbu293BAQEaMmSJXa/xANwLU81jlFjAOs6cuSIevbsWaijlho1aqS7775bDRs2VPny5RUeHq7Lly/r/PnzSk5O1saNG7V///5C5R0zZowGDRpU1OVLosYAVpOYmKiBAwcqNze3UONr1qypO+64Q82aNVOlSpUUERGh4OBgXblyRampqTpy5Ih++uknbdu2TampqYWas3z58lq1apUqVqxYhE/yB2oM4Bir3DsZNmyYhg8fXqQ5itP1f/36dfXq1atQD3VvvfVWdezYUY0aNVKFChXk7++v1NRU7du3T5s2bdLmzZvtHgkVEhKiVatWqVatWq76CIAk760x27ZtU79+/UxckeNatGihDz74wCVzUWNQXHhrjXEHTzaOUWPgadY/WwqAZUycOFEnT57U999/bzju5MmTevvtt4uUa+jQoTSNAXApPz8/vfrqq3rsscfsfvnev39/oR8K28r1wgsv8CAE8CHUGMC6atWqpTfeeENPPfWU3YeZu3bt0q5du4qcs1+/fi5rGpOoMYDVtGrVSpMnT9bkyZNVmHdyjx49qqNHj9p9g7ywwsLC9Oabb7qkaUyixgC+rDhd/yVLltT8+fP1yCOP6MyZM4Zjd+zYoR07djidKzAwULNnz+ZhK+BDqDEAzESNgafZPksOAP5HUFCQ3nzzTd1xxx2m5hk0aJBGjBhhag4AvqlMmTJatGiR6tevb1oOf39/TZw4Ub169TItBwBrosYA1tWqVSu99dZbCg0NNT3XU089pfHjx7t8XmoMYC29e/fWSy+9pMDAQLfmrVChghYtWqQmTZq4dF5qDOC7itP1X7VqVS1atEiVK1c2LUfJkiX12muv6c477zQtBwBrosYAMBM1Bp5E4xgAhwQHB+u9995T3759XT53UFCQpk2bpjFjxrh8bgD4U7ly5bR8+XJ16NDB5XOXLl1ab731lh555BGXzw3AO1B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      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 423,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(6, 2))\n",
    "ax.hist(test_scores[\"score\"], bins=\"auto\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b7a6f0a4d97d9f07",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping missing values is a very bad idea in general, but we do so here for simplicity\n",
    "X = test_scores.dropna().astype(float)\n",
    "y = X.pop(\"score\")\n",
    "\n",
    "# Standardize the features\n",
    "X -= X.mean()\n",
    "X /= X.std()\n",
    "\n",
    "N, D = X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ecc5a90f2906f2c",
   "metadata": {},
   "source": [
    "### The Model\n",
    "\n",
    "This is a more realistic problem than the first regression example, as we are now dealing with a **multivariate regression** model. However, while there are several potential predictors in the LSL-DR dataset, it is difficult *a priori* to determine which ones are relevant for constructing an effective statistical model. There are a number of approaches for conducting variable selection, but a popular automated method is *regularization*, whereby ineffective covariates are shrunk towards zero via regularization (a form of penalization) if they do not contribute to predicting outcomes.\n",
    "\n",
    "You may have heard of regularization from machine learning or classical statistics applications, where methods like the lasso or ridge regression shrink parameters towards zero by applying a penalty to the size of the regression parameters. In a Bayesian context, we apply an appropriate prior distribution to the regression coefficients. One such prior is the *hierarchical regularized horseshoe*, which uses two regularization strategies, one global and a set of local parameters, one for each coefficient. The key to making this work is by selecting a long-tailed distribution as the shrinkage priors, which allows some to be nonzero, while pushing the rest towards zero.\n",
    "\n",
    "The horseshoe prior for each regression coefficient $\\beta_i$ looks like this:\n",
    "\n",
    "$$\\beta_i \\sim N\\left(0, \\tau^2 \\cdot \\tilde{\\lambda}_i^2\\right)$$\n",
    "\n",
    "where $\\sigma$ is the prior on the error standard deviation that will also be used for the model likelihood. Here, $\\tau$ is the global shrinkage parameter and $\\tilde{\\lambda}_i$ is the local shrinkage parameter. Let's start global: for the prior on $\\tau$ we will use a Half-StudentT distribution, which is a reasonable choice becuase it is heavy-tailed.\n",
    "\n",
    "$$\n",
    "\\tau \\sim \\textrm{Half-StudentT}_{2} \\left(\\frac{D_0}{D - D_0} \\cdot \\frac{\\sigma}{\\sqrt{N}}\\right).\n",
    "$$\n",
    "\n",
    "One catch is that the parameterization of the prior requires a pre-specified value $D_0$, which represents the true number of non-zero coefficients. Fortunately, a reasonable guess at this value is all that is required, and it need only be within an order of magnitude of the true number. Let's use half the number of predictors as our guess:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "31447d4c18c9121b",
   "metadata": {},
   "outputs": [],
   "source": [
    "D0 = int(D / 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13ce56ac267c16aa",
   "metadata": {},
   "source": [
    "Meanwhile, the local shrinkage parameters are defined by the ratio:\n",
    "\n",
    "$$\\tilde{\\lambda}_i^2 = \\frac{c^2 \\lambda_i^2}{c^2 + \\tau^2 \\lambda_i^2}.$$\n",
    "\n",
    "To complete this specification, we need priors on $\\lambda_i$ and $c$;  as with the global shrinkage, we use a long-tailed $\\textrm{Half-StudentT}_5(1)$  on the $\\lambda_i$. We need $c^2$ to be strictly positive, but not necessarily long-tailed, so an inverse gamma prior on $c^2$, $c^2 \\sim \\textrm{InverseGamma}(1, 1)$ fits the bill.\n",
    "\n",
    "Finally, to allow the NUTS sampler to sample the $\\beta_i$ more efficiently, we will re-parameterize it as follows:\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "    z_i\n",
    "        & \\sim N(0, 1), \\\\\n",
    "     \\beta_i\n",
    "         & = z_i \\cdot \\tau \\cdot \\tilde{\\lambda_i}.\n",
    "\\end{align*}\n",
    "$$\n",
    "\n",
    "You will run into this reparameterization a lot in practice.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdfab9f973f56d45",
   "metadata": {},
   "source": [
    "### Model Specification\n",
    "\n",
    "Specifying the model in PyMC mirrors its statistical specification. This model employs a couple of new distributions: the {class}`~pymc.HalfStudentT` distribution for the $\\tau$ and $\\lambda$ priors, and the `InverseGamma` distribution for the $c^2$ variable.\n",
    "\n",
    "In PyMC, variables with purely positive priors like {class}`~pymc.InverseGamma` are transformed with a log transform. This makes sampling more robust. Behind the scenes, a variable in the unconstrained space (named `<variable-name>_log`) is added to the model for sampling. Variables with priors that constrain them on two sides, like {class}`~pymc.Beta` or {class}`~pymc.Uniform`, are also transformed to be unconstrained but with a log odds transform.\n",
    "\n",
    "We are also going to take advantage of named dimensions in PyMC and ArviZ by passing the input variable names into the model as coordinates called \"predictors\". This will allow us to pass this vector of names as a replacement for the `shape` integer argument in the vector-valued parameters. The model will then associate the appropriate name with each latent parameter that it is estimating. This is a little more work to set up, but will pay dividends later when we are working with our model output.\n",
    "\n",
    "Let's encode this model in PyMC:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "24fe8ae924e0fb3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytensor.tensor as pt\n",
    "\n",
    "with pm.Model(coords={\"predictors\": X.columns.values}) as test_score_model:\n",
    "    # Prior on error SD\n",
    "    sigma = pm.HalfNormal(\"sigma\", 25)\n",
    "\n",
    "    # Global shrinkage prior\n",
    "    tau = pm.HalfStudentT(\"tau\", 2, D0 / (D - D0) * sigma / np.sqrt(N))\n",
    "    # Local shrinkage prior\n",
    "    lam = pm.HalfStudentT(\"lam\", 5, dims=\"predictors\")\n",
    "    c2 = pm.InverseGamma(\"c2\", 1, 1)\n",
    "    z = pm.Normal(\"z\", 0.0, 1.0, dims=\"predictors\")\n",
    "    # Shrunken coefficients\n",
    "    beta = pm.Deterministic(\n",
    "        \"beta\", z * tau * lam * pt.sqrt(c2 / (c2 + tau**2 * lam**2)), dims=\"predictors\"\n",
    "    )\n",
    "    # No shrinkage on intercept\n",
    "    beta0 = pm.Normal(\"beta0\", 100, 25.0)\n",
    "\n",
    "    scores = pm.Normal(\"scores\", beta0 + pt.dot(X.values, beta), sigma, observed=y.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b96305074df5d872",
   "metadata": {},
   "source": [
    "Notice that we have wrapped the calculation of `beta` in a {class}`~pymc.Deterministic` PyMC class. You can read more about this in detail below, but this ensures that the values of this deterministic variable is retained in the sample trace.\n",
    "\n",
    "Also note that we have declared the {class}`~pymc.Model` name `test_score_model` in the first occurrence of the context manager, rather than splitting it into two lines, as we did for the first example.\n",
    "\n",
    "Once the model is complete, we can look at its structure using GraphViz, which plots the model graph. It's useful to ensure that the relationships in the model you have coded are correct, as it's easy to make coding mistakes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "40a5550ec1eab5e8",
   "metadata": {},
   "outputs": [
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       "<title>clusterpredictors (10)</title>\n",
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       "</g>\n",
       "<g id=\"clust2\" class=\"cluster\">\n",
       "<title>cluster101</title>\n",
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       "<!-- sigma -->\n",
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       "<title>sigma</title>\n",
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       "<!-- tau -->\n",
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       "<title>tau</title>\n",
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       "</g>\n",
       "<!-- sigma&#45;&gt;tau -->\n",
       "<g id=\"edge1\" class=\"edge\">\n",
       "<title>sigma&#45;&gt;tau</title>\n",
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       "<!-- scores -->\n",
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       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"504.51\" y=\"-59.61\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
       "</g>\n",
       "<!-- sigma&#45;&gt;scores -->\n",
       "<g id=\"edge6\" class=\"edge\">\n",
       "<title>sigma&#45;&gt;scores</title>\n",
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       "<title>beta</title>\n",
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       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"307.51\" y=\"-177.52\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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       "<!-- tau&#45;&gt;beta -->\n",
       "<g id=\"edge3\" class=\"edge\">\n",
       "<title>tau&#45;&gt;beta</title>\n",
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       "<!-- c2 -->\n",
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       "<title>c2</title>\n",
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       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"423.51\" y=\"-327.83\" font-family=\"Times,serif\" font-size=\"14.00\">c2</text>\n",
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       "</g>\n",
       "<!-- c2&#45;&gt;beta -->\n",
       "<g id=\"edge2\" class=\"edge\">\n",
       "<title>c2&#45;&gt;beta</title>\n",
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       "<!-- beta0 -->\n",
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       "<title>beta0</title>\n",
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       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"573.51\" y=\"-177.52\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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       "<!-- beta0&#45;&gt;scores -->\n",
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       "<title>beta0&#45;&gt;scores</title>\n",
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       "<!-- beta&#45;&gt;scores -->\n",
       "<g id=\"edge7\" class=\"edge\">\n",
       "<title>beta&#45;&gt;scores</title>\n",
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       "<!-- lam -->\n",
       "<g id=\"node6\" class=\"node\">\n",
       "<title>lam</title>\n",
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       "<!-- lam&#45;&gt;beta -->\n",
       "<g id=\"edge4\" class=\"edge\">\n",
       "<title>lam&#45;&gt;beta</title>\n",
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       "<!-- z -->\n",
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       "<title>z</title>\n",
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       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"311.51\" y=\"-327.83\" font-family=\"Times,serif\" font-size=\"14.00\">z</text>\n",
       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"311.51\" y=\"-311.33\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"311.51\" y=\"-294.83\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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       "<!-- z&#45;&gt;beta -->\n",
       "<g id=\"edge5\" class=\"edge\">\n",
       "<title>z&#45;&gt;beta</title>\n",
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       "</g>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<graphviz.graphs.Digraph at 0x709c1f861400>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.model_to_graphviz(test_score_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7852c60dd81f5596",
   "metadata": {},
   "source": [
    "Before we proceed further, let's see what the model does before it sees any data. We can conduct *prior predictive sampling* to generate simulated data from the model. Then, let's compare these simulations to the actual test scores in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "aa95ed7440d95d5f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling: [beta0, c2, lam, scores, sigma, tau, z]\n"
     ]
    }
   ],
   "source": [
    "with test_score_model:\n",
    "    prior_samples = pm.sample_prior_predictive(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "29d68abbd92e0fa4",
   "metadata": {},
   "outputs": [
    {
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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(prior_samples, group=\"prior_predictive\", kind=\"ecdf\")\n",
    "az.add_lines(pc, [0, 160]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23b8dbce08d01691",
   "metadata": {},
   "source": [
    "How do we know if this is reasonable or not? This requires some domain knowledge of the problem. Here, we are trying to predict the outcomes of test scores. If our model was predicting values in the thousands, or lots of negative values, while excluding scores that are plausible, then we have misspecified our model. You can see here that the support of the distribution of simulated data completely overlaps the support of the observed distribution of scores; this is a good sign! There are a few negative values and a few that are probably too large to be plausible, but nothing to worry about."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0ad1f726ba9b41",
   "metadata": {},
   "source": [
    "### Model Fitting\n",
    "\n",
    "Now for the easy part: PyMC's \"Inference Button\" is the call to `sample`. We will let this model tune for a little longer than the default value (1000 iterations). This gives the NUTS sampler a little more time to tune itself adequately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "abe7e5af25df99e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [sigma, tau, lam, c2, z, beta0]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "af3bc6de46f447ba8b6a2d223f1cf076",
       "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 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 5 seconds.\n",
      "There were 7 divergences after tuning. Increase `target_accept` or reparameterize.\n"
     ]
    }
   ],
   "source": [
    "with test_score_model:\n",
    "    idata = pm.sample(1000, tune=2000, random_seed=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60921cf8fc354237",
   "metadata": {},
   "source": [
    "Notice that we have a few warnings here about divergences. These are samples where NUTS was not able to make a valid move across the posterior distribution, so the resulting points are probably not representative samples from the posterior. There aren't many in this example, so it's nothing to worry about, but let's go ahead and follow the advice and increase `target_accept` from its default value of 0.9 to 0.99."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c602eda9ef1b77e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [sigma, tau, lam, c2, z, beta0]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9625cf161907448fa031584f5d397e7b",
       "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 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 14 seconds.\n"
     ]
    }
   ],
   "source": [
    "with test_score_model:\n",
    "    idata = pm.sample(1000, tune=2000, random_seed=42, target_accept=0.99)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bdee1520a222a82",
   "metadata": {},
   "source": [
    "Since the target acceptance rate is larger, the algorithm is being more conservative with its leapfrog steps, making them smaller. The price we pay for this is that each sample takes longer to complete. However, the warnings are now gone, and we have a clean posterior sample!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d78b8304509402c6",
   "metadata": {},
   "source": [
    "#### Model Checking\n",
    "\n",
    "A simple first step in model checking is to visually inspect our samples by looking at the traceplot for the univariate latent parameters to check for obvious problems. These names can be passed to `plot_trace` in the `var_names` argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "320d08fabab21c3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2400x1148.7 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1172,
       "width": 2423
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_trace_dist(idata, var_names=[\"tau\", \"sigma\", \"c2\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5c6f43ba0ed08e9",
   "metadata": {},
   "source": [
    "Do these look okay? Well, each of the densities on the left side for each parameter look pretty similar to the others, which means they have converged to the same posterior distribution (be it the correct one or not). The homogeneity of the trace plots on the right are also a good sign; there is no trend or pattern to the time series of sampled values. Note that `c2` and `tau` occasionally sample extreme values, but this is expected from heavy-tailed distributions.\n",
    "\n",
    "The next easy model-checking step is to see if the NUTS sampler performed as expected. An energy plot is a way of checking if the NUTS algorithm was able to adequately explore the posterior distribution. If it was not, one runs the risk of biased posterior estimates when parts of the posterior are not visited with adequate frequency. The plot shows two density estimates: one is the marginal energy distribution of the sampling run and the other is the distribution of the energy transitions between steps. This is all a little abstract, but all we are looking for is for the distributions to be similar to one another. Ours does not look too bad."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "20a5ff0ef324bedb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x535.887 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 559,
       "width": 2411
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_energy(idata);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97306d55a00084be",
   "metadata": {},
   "source": [
    "Ultimately, we are interested in the estimates of `beta`, the set of predictor coefficients. Passing `beta` to `plot_trace` would generate a very crowded plot, so we will use `plot_forest` instead, which is designed to handle vector-valued parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e8ae969d67dc0751",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 623,
       "width": 2023
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_forest(\n",
    "    idata,\n",
    "    var_names=[\"beta\"],\n",
    "    combined=True,\n",
    "    ci_probs=[0.5, 0.95],\n",
    "    figure_kwargs={\"figsize\": (10, 3)},\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64dcb8433d382ece",
   "metadata": {},
   "source": [
    "The posterior distribution of coefficients reveal some factors that appear to be important in predicting test scores. Family involvement (`family_inv`) is large and negative, meaning a larger score (which is related to poorer involvement) results in much worse test scores. On the other end, early identification of hearing impairment is positive, meaning that detecting a problem early results in better educational outcomes down the road, which is also intuitive. Notice that other variables, notably gender (`male`), age at testing (`age_test`), and the mother's educational status (`mother_hs`) have all been shrunk essentially to zero."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e44c50026842a0d",
   "metadata": {},
   "source": [
    "## Case study 2: Coal mining disasters\n",
    "\n",
    "Consider the following time series of recorded coal mining disasters in the UK from 1851 to 1962 (Jarrett, 1979). The number of disasters is thought to have been affected by changes in safety regulations during this period. Unfortunately, we also have a pair of years with missing data, identified as missing by a `nan` in the pandas `Series`. These missing values will be automatically imputed by PyMC.\n",
    "\n",
    "Next we will build a model for this series and attempt to estimate when the change occurred. At the same time, we will see how to handle missing data, use multiple samplers and sample from discrete random variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a718ccde312cde0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1023,
       "width": 1223
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fmt: off\n",
    "disaster_data = pd.Series(\n",
    "    [4, 5, 4, 0, 1, 4, 3, 4, 0, 6, 3, 3, 4, 0, 2, 6,\n",
    "    3, 3, 5, 4, 5, 3, 1, 4, 4, 1, 5, 5, 3, 4, 2, 5,\n",
    "    2, 2, 3, 4, 2, 1, 3, np.nan, 2, 1, 1, 1, 1, 3, 0, 0,\n",
    "    1, 0, 1, 1, 0, 0, 3, 1, 0, 3, 2, 2, 0, 1, 1, 1,\n",
    "    0, 1, 0, 1, 0, 0, 0, 2, 1, 0, 0, 0, 1, 1, 0, 2,\n",
    "    3, 3, 1, np.nan, 2, 1, 1, 1, 1, 2, 4, 2, 0, 0, 1, 4,\n",
    "    0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1]\n",
    ")\n",
    "# fmt: on\n",
    "years = np.arange(1851, 1962)\n",
    "\n",
    "plt.plot(years, disaster_data, \"o\", markersize=8, alpha=0.4)\n",
    "plt.ylabel(\"Disaster count\")\n",
    "plt.xlabel(\"Year\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d179b8d0d945e7f",
   "metadata": {},
   "source": [
    "Occurrences of disasters in the time series is thought to follow a Poisson process with a large rate parameter in the early part of the time series, and from one with a smaller rate in the later part. We are interested in locating the change point in the series, which is perhaps related to changes in mining safety regulations.\n",
    "\n",
    "In our model,\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "  D_t &\\sim \\text{Pois}(r_t), r_t= \\begin{cases}\n",
    "   e, & \\text{if } t \\le s \\\\\n",
    "   l, & \\text{if } t \\gt s\n",
    "   \\end{cases} \\\\\n",
    "  s &\\sim \\text{Unif}(t_l, t_h)\\\\\n",
    "  e &\\sim \\text{exp}(1)\\\\\n",
    "  l &\\sim \\text{exp}(1)\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "the parameters are defined as follows:\n",
    "   * $D_t$: The number of disasters in year $t$\n",
    "   * $r_t$: The rate parameter of the Poisson distribution of disasters in year $t$.\n",
    "   * $s$: The year in which the rate parameter changes (the switchpoint).\n",
    "   * $e$: The rate parameter before the switchpoint $s$.\n",
    "   * $l$: The rate parameter after the switchpoint $s$.\n",
    "   * $t_l$, $t_h$: The lower and upper boundaries of year $t$.\n",
    "\n",
    "This model is built much like our previous models. The major differences are the introduction of discrete variables with the Poisson and discrete-uniform priors and the novel form of the deterministic random variable `rate`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a7652bb6dd8e1cb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/osvaldo/proyectos/00_BM/pymc-devs/pymc/pymc/model/core.py:1302: RuntimeWarning: invalid value encountered in cast\n",
      "  data = convert_observed_data(data).astype(rv_var.dtype)\n",
      "/home/osvaldo/proyectos/00_BM/pymc-devs/pymc/pymc/model/core.py:1316: ImputationWarning: Data in disasters contains missing values and will be automatically imputed from the sampling distribution.\n",
      "  warnings.warn(impute_message, ImputationWarning)\n"
     ]
    }
   ],
   "source": [
    "with pm.Model() as disaster_model:\n",
    "    switchpoint = pm.DiscreteUniform(\"switchpoint\", lower=years.min(), upper=years.max())\n",
    "\n",
    "    # Priors for pre- and post-switch rates number of disasters\n",
    "    early_rate = pm.Exponential(\"early_rate\", 1.0)\n",
    "    late_rate = pm.Exponential(\"late_rate\", 1.0)\n",
    "\n",
    "    # Allocate appropriate Poisson rates to years before and after current\n",
    "    rate = pm.math.switch(switchpoint >= years, early_rate, late_rate)\n",
    "\n",
    "    disasters = pm.Poisson(\"disasters\", rate, observed=disaster_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a28e9bbc8aeb4d85",
   "metadata": {},
   "source": [
    "The logic for the rate random variable,\n",
    "```python\n",
    "rate = switch(switchpoint >= year, early_rate, late_rate)\n",
    "```\n",
    "is implemented using `switch`, a function that works like an if statement. It uses the first argument to switch between the next two arguments.\n",
    "\n",
    "Missing values are handled transparently by passing a NumPy {class}`~numpy.MaskedArray` or a {class}`~pandas.DataFrame` with NaN values to the `observed` argument when creating an observed stochastic random variable. Behind the scenes, another random variable, `disasters.missing_values` is created to model the missing values."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bbbda62d43ed8f0",
   "metadata": {},
   "source": [
    "Unfortunately, because they are discrete variables and thus have no meaningful gradient, we cannot use NUTS for sampling `switchpoint` or the missing disaster observations. Instead, we will sample using a {class}`~pymc.Metropolis` step method, which implements adaptive Metropolis-Hastings, because it is designed to handle discrete values. PyMC automatically assigns the correct sampling algorithms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f65a9b03a2ce9b3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "CompoundStep\n",
      ">CompoundStep\n",
      ">>Metropolis: [switchpoint]\n",
      ">>Metropolis: [disasters_unobserved]\n",
      ">NUTS: [early_rate, late_rate]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "684244f6d4dc4a6aa858c860eb6f8cdf",
       "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 3 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",
      "The effective sample size per chain is smaller than 100 for some parameters.  A higher number is needed for reliable rhat and ess computation. See https://arxiv.org/abs/1903.08008 for details\n"
     ]
    }
   ],
   "source": [
    "with disaster_model:\n",
    "    idata = pm.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c11be8e00e3ec075",
   "metadata": {},
   "source": [
    "In the trace plot below we can see that there's about a 10 year span that's plausible for a significant change in safety, but a 5 year span that contains most of the probability mass. The distribution is jagged because of the jumpy relationship between the year switchpoint and the likelihood; the jaggedness is not due to sampling error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c862747acd216c35",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "tuple.index(x): x not in tuple",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mValueError\u001b[39m                                Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[29]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43maz\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplot_dist\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m      2\u001b[39m \u001b[43m    \u001b[49m\u001b[43midata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mchain\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mdraw\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mdisasters_dim_0\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mdisasters_unobserved\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m      3\u001b[39m \u001b[43m)\u001b[49m;\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_plots/plots/dist_plot.py:299\u001b[39m, in \u001b[36mplot_dist\u001b[39m\u001b[34m(dt, var_names, filter_vars, group, coords, sample_dims, kind, point_estimate, ci_kind, ci_prob, plot_collection, backend, labeller, aes_by_visuals, visuals, stats, **pc_kwargs)\u001b[39m\n\u001b[32m    294\u001b[39m     aes_by_visuals[\u001b[33m\"\u001b[39m\u001b[33mpoint_estimate_text\u001b[39m\u001b[33m\"\u001b[39m] = aes_by_visuals[\u001b[33m\"\u001b[39m\u001b[33mpoint_estimate\u001b[39m\u001b[33m\"\u001b[39m]\n\u001b[32m    296\u001b[39m density_reduce, density_active, density_aes, density_ignore = filter_aes_full(\n\u001b[32m    297\u001b[39m     plot_collection, aes_by_visuals, \u001b[33m\"\u001b[39m\u001b[33mdist\u001b[39m\u001b[33m\"\u001b[39m, sample_dims\n\u001b[32m    298\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m299\u001b[39m density = \u001b[43mcompute_dist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdistribution\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdensity_reduce\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdensity_active\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[43m=\u001b[49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstats\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstats\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    300\u001b[39m kind_var_map = {\n\u001b[32m    301\u001b[39m     kind_i: [k \u001b[38;5;28;01mfor\u001b[39;00m k, da \u001b[38;5;129;01min\u001b[39;00m density.items() \u001b[38;5;28;01mif\u001b[39;00m kind_i == da.attrs[\u001b[33m\"\u001b[39m\u001b[33mkind\u001b[39m\u001b[33m\"\u001b[39m]]\n\u001b[32m    302\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m kind_i \u001b[38;5;129;01min\u001b[39;00m (\u001b[33m\"\u001b[39m\u001b[33mdot\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mecdf\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mhist\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mkde\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m    303\u001b[39m }\n\u001b[32m    304\u001b[39m kind_var_map = {k: v \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m kind_var_map.items() \u001b[38;5;28;01mif\u001b[39;00m v}\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_plots/plots/utils.py:348\u001b[39m, in \u001b[36mcompute_dist\u001b[39m\u001b[34m(data, reduce_dims, active_dims, kind, stats)\u001b[39m\n\u001b[32m    340\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m _compute_func(\n\u001b[32m    341\u001b[39m         histogram,\n\u001b[32m    342\u001b[39m         data,\n\u001b[32m   (...)\u001b[39m\u001b[32m    345\u001b[39m         kwargs=stats_dist_value,\n\u001b[32m    346\u001b[39m     )\n\u001b[32m    347\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m kind == \u001b[33m\"\u001b[39m\u001b[33mkde\u001b[39m\u001b[33m\"\u001b[39m:\n\u001b[32m--> \u001b[39m\u001b[32m348\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_compute_func\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    349\u001b[39m \u001b[43m        \u001b[49m\u001b[43mkde\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mactive_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43mactive_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreduce_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43mreduce_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstats_dist_value\u001b[49m\n\u001b[32m    350\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    351\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mprovided \u001b[39m\u001b[33m'\u001b[39m\u001b[33mkind\u001b[39m\u001b[33m'\u001b[39m\u001b[33m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkind\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m is not valid\u001b[39m\u001b[33m\"\u001b[39m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_plots/plots/utils.py:258\u001b[39m, in \u001b[36m_compute_func\u001b[39m\u001b[34m(func, data, active_dims, reduce_dims, var_names, kwargs)\u001b[39m\n\u001b[32m    256\u001b[39m     var_names = data.data_vars\n\u001b[32m    257\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m var_name \u001b[38;5;129;01min\u001b[39;00m var_names:\n\u001b[32m--> \u001b[39m\u001b[32m258\u001b[39m     viz_out[var_name] = \u001b[43m_compute_func_da\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    259\u001b[39m \u001b[43m        \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[43mvar_name\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mactive_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43mactive_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreduce_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43mreduce_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mkwargs\u001b[49m\n\u001b[32m    260\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    261\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m viz_out\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_plots/plots/utils.py:246\u001b[39m, in \u001b[36m_compute_func_da\u001b[39m\u001b[34m(func, da, active_dims, reduce_dims, kwargs)\u001b[39m\n\u001b[32m    244\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m da.dims:\n\u001b[32m    245\u001b[39m         warnings.filterwarnings(\u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m, message=\u001b[33m\"\u001b[39m\u001b[33mYour data appears to have a single\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m--> \u001b[39m\u001b[32m246\u001b[39m     out_da = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mda\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m=\u001b[49m\u001b[43mreduce_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    247\u001b[39m func_to_name = {\u001b[33m\"\u001b[39m\u001b[33mqds\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33mdot\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mhistogram\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33mhist\u001b[39m\u001b[33m\"\u001b[39m}\n\u001b[32m    248\u001b[39m out_da.attrs[\u001b[33m\"\u001b[39m\u001b[33mkind\u001b[39m\u001b[33m\"\u001b[39m] = func_to_name.get(func.\u001b[34m__name__\u001b[39m, func.\u001b[34m__name__\u001b[39m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_stats/visualization.py:510\u001b[39m, in \u001b[36mkde\u001b[39m\u001b[34m(data, dim, group, var_names, filter_vars, coords, circular, **kwargs)\u001b[39m\n\u001b[32m    427\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mkde\u001b[39m(\n\u001b[32m    428\u001b[39m     data,\n\u001b[32m    429\u001b[39m     dim=\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   (...)\u001b[39m\u001b[32m    435\u001b[39m     **kwargs,\n\u001b[32m    436\u001b[39m ):\n\u001b[32m    437\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33mr\u001b[39m\u001b[33;03m\"\"\"Compute the marginal kernel density estimates (KDE).\u001b[39;00m\n\u001b[32m    438\u001b[39m \n\u001b[32m    439\u001b[39m \u001b[33;03m    See the EABM chapter on `Visualization of Random Variables with ArviZ <https://arviz-devs.github.io/EABM/Chapters/Distributions.html#distributions-in-arviz>`_\u001b[39;00m\n\u001b[32m   (...)\u001b[39m\u001b[32m    508\u001b[39m \u001b[33;03m        In [1]: azs.kde(dt, dim=[\"chain\", \"draw\", \"school\"])\u001b[39;00m\n\u001b[32m    509\u001b[39m \u001b[33;03m    \"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m510\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_apply_multi_input_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    511\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mkde\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m    512\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    513\u001b[39m \u001b[43m        \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    514\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mdim\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m    515\u001b[39m \u001b[43m        \u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m=\u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    516\u001b[39m \u001b[43m        \u001b[49m\u001b[43mvar_names\u001b[49m\u001b[43m=\u001b[49m\u001b[43mvar_names\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    517\u001b[39m \u001b[43m        \u001b[49m\u001b[43mfilter_vars\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfilter_vars\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    518\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcoords\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcoords\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    519\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcircular\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcircular\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    520\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    521\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_stats/utils.py:344\u001b[39m, in \u001b[36m_apply_multi_input_function\u001b[39m\u001b[34m(name, data, dims, dims_arg, group, var_names, filter_vars, coords, **kwargs)\u001b[39m\n\u001b[32m    342\u001b[39m         data = data.sel(coords)\n\u001b[32m    343\u001b[39m     _warn_non_unique_coords(data, dims)\n\u001b[32m--> \u001b[39m\u001b[32m344\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m.\u001b[49m\u001b[43mazstats\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mall_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    346\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, xr.DataTree):\n\u001b[32m    347\u001b[39m     data = data.azstats.filter_vars(\n\u001b[32m    348\u001b[39m         group=group, var_names=var_names, filter_vars=filter_vars\n\u001b[32m    349\u001b[39m     ).datatree\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_stats/accessors.py:120\u001b[39m, in \u001b[36m_BaseAccessor.kde\u001b[39m\u001b[34m(self, dim, **kwargs)\u001b[39m\n\u001b[32m    118\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mkde\u001b[39m(\u001b[38;5;28mself\u001b[39m, dim=\u001b[38;5;28;01mNone\u001b[39;00m, **kwargs):\n\u001b[32m    119\u001b[39m \u001b[38;5;250m    \u001b[39m\u001b[33;03m\"\"\"Compute the KDE for all variables in the dataset.\"\"\"\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m120\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mkde\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m=\u001b[49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_stats/accessors.py:358\u001b[39m, in \u001b[36mAzStatsDaAccessor._apply\u001b[39m\u001b[34m(self, func, **kwargs)\u001b[39m\n\u001b[32m    356\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(func, \u001b[38;5;28mstr\u001b[39m):\n\u001b[32m    357\u001b[39m     func = get_function(func)\n\u001b[32m--> \u001b[39m\u001b[32m358\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/arviz_stats/base/dataarray.py:233\u001b[39m, in \u001b[36mBaseDataArray.kde\u001b[39m\u001b[34m(self, da, dim, circular, grid_len, **kwargs)\u001b[39m\n\u001b[32m    231\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Compute kde on DataArray input.\"\"\"\u001b[39;00m\n\u001b[32m    232\u001b[39m dims = validate_dims(dim)\n\u001b[32m--> \u001b[39m\u001b[32m233\u001b[39m grid, pdf, bw = \u001b[43mapply_ufunc\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    234\u001b[39m \u001b[43m    \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43marray_class\u001b[49m\u001b[43m.\u001b[49m\u001b[43mkde\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    235\u001b[39m \u001b[43m    \u001b[49m\u001b[43mda\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    236\u001b[39m \u001b[43m    \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m=\u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m    237\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mcircular\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mcircular\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    238\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mgrid_len\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mgrid_len\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    239\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43maxis\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[43m.\u001b[49m\u001b[43marange\u001b[49m\u001b[43m(\u001b[49m\u001b[43m-\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdims\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[32;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    240\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    241\u001b[39m \u001b[43m    \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    242\u001b[39m \u001b[43m    \u001b[49m\u001b[43minput_core_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[43mdims\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    243\u001b[39m \u001b[43m    \u001b[49m\u001b[43moutput_core_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mkde_dim\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mkde_dim\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    244\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    245\u001b[39m plot_axis = DataArray([\u001b[33m\"\u001b[39m\u001b[33mx\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33my\u001b[39m\u001b[33m\"\u001b[39m], dims=\u001b[33m\"\u001b[39m\u001b[33mplot_axis\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m    246\u001b[39m out = concat((grid, pdf), dim=plot_axis)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/xarray/computation/apply_ufunc.py:1263\u001b[39m, in \u001b[36mapply_ufunc\u001b[39m\u001b[34m(func, input_core_dims, output_core_dims, exclude_dims, vectorize, join, dataset_join, dataset_fill_value, keep_attrs, kwargs, dask, output_dtypes, output_sizes, meta, dask_gufunc_kwargs, on_missing_core_dim, *args)\u001b[39m\n\u001b[32m   1261\u001b[39m \u001b[38;5;66;03m# feed DataArray apply_variable_ufunc through apply_dataarray_vfunc\u001b[39;00m\n\u001b[32m   1262\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(a, DataArray) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m args):\n\u001b[32m-> \u001b[39m\u001b[32m1263\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mapply_dataarray_vfunc\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1264\u001b[39m \u001b[43m        \u001b[49m\u001b[43mvariables_vfunc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1265\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1266\u001b[39m \u001b[43m        \u001b[49m\u001b[43msignature\u001b[49m\u001b[43m=\u001b[49m\u001b[43msignature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1267\u001b[39m \u001b[43m        \u001b[49m\u001b[43mjoin\u001b[49m\u001b[43m=\u001b[49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1268\u001b[39m \u001b[43m        \u001b[49m\u001b[43mexclude_dims\u001b[49m\u001b[43m=\u001b[49m\u001b[43mexclude_dims\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1269\u001b[39m \u001b[43m        \u001b[49m\u001b[43mkeep_attrs\u001b[49m\u001b[43m=\u001b[49m\u001b[43mkeep_attrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1270\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1271\u001b[39m \u001b[38;5;66;03m# feed Variables directly through apply_variable_ufunc\u001b[39;00m\n\u001b[32m   1272\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(a, Variable) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m args):\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/xarray/computation/apply_ufunc.py:305\u001b[39m, in \u001b[36mapply_dataarray_vfunc\u001b[39m\u001b[34m(func, signature, join, exclude_dims, keep_attrs, *args)\u001b[39m\n\u001b[32m    300\u001b[39m result_coords, result_indexes = build_output_coords_and_indexes(\n\u001b[32m    301\u001b[39m     args, signature, exclude_dims, combine_attrs=keep_attrs\n\u001b[32m    302\u001b[39m )\n\u001b[32m    304\u001b[39m data_vars = [\u001b[38;5;28mgetattr\u001b[39m(a, \u001b[33m\"\u001b[39m\u001b[33mvariable\u001b[39m\u001b[33m\"\u001b[39m, a) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m args]\n\u001b[32m--> \u001b[39m\u001b[32m305\u001b[39m result_var = \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43mdata_vars\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    307\u001b[39m out: \u001b[38;5;28mtuple\u001b[39m[DataArray, ...] | DataArray\n\u001b[32m    308\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m signature.num_outputs > \u001b[32m1\u001b[39m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/xarray/computation/apply_ufunc.py:726\u001b[39m, in \u001b[36mapply_variable_ufunc\u001b[39m\u001b[34m(func, signature, exclude_dims, dask, output_dtypes, vectorize, keep_attrs, dask_gufunc_kwargs, *args)\u001b[39m\n\u001b[32m    719\u001b[39m broadcast_dims = \u001b[38;5;28mtuple\u001b[39m(\n\u001b[32m    720\u001b[39m     dim \u001b[38;5;28;01mfor\u001b[39;00m dim \u001b[38;5;129;01min\u001b[39;00m dim_sizes \u001b[38;5;28;01mif\u001b[39;00m dim \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m signature.all_core_dims\n\u001b[32m    721\u001b[39m )\n\u001b[32m    722\u001b[39m output_dims = [broadcast_dims + out \u001b[38;5;28;01mfor\u001b[39;00m out \u001b[38;5;129;01min\u001b[39;00m signature.output_core_dims]\n\u001b[32m    724\u001b[39m input_data = [\n\u001b[32m    725\u001b[39m     (\n\u001b[32m--> \u001b[39m\u001b[32m726\u001b[39m         \u001b[43mbroadcast_compat_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43marg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbroadcast_dims\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcore_dims\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    727\u001b[39m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(arg, Variable)\n\u001b[32m    728\u001b[39m         \u001b[38;5;28;01melse\u001b[39;00m arg\n\u001b[32m    729\u001b[39m     )\n\u001b[32m    730\u001b[39m     \u001b[38;5;28;01mfor\u001b[39;00m arg, core_dims \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(args, signature.input_core_dims, strict=\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[32m    731\u001b[39m ]\n\u001b[32m    733\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28many\u001b[39m(is_chunked_array(array) \u001b[38;5;28;01mfor\u001b[39;00m array \u001b[38;5;129;01min\u001b[39;00m input_data):\n\u001b[32m    734\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m dask == \u001b[33m\"\u001b[39m\u001b[33mforbidden\u001b[39m\u001b[33m\"\u001b[39m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/xarray/computation/apply_ufunc.py:671\u001b[39m, in \u001b[36mbroadcast_compat_data\u001b[39m\u001b[34m(variable, broadcast_dims, core_dims)\u001b[39m\n\u001b[32m    669\u001b[39m reordered_dims = old_broadcast_dims + core_dims\n\u001b[32m    670\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m reordered_dims != old_dims:\n\u001b[32m--> \u001b[39m\u001b[32m671\u001b[39m     order = \u001b[38;5;28;43mtuple\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mold_dims\u001b[49m\u001b[43m.\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[43md\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43md\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mreordered_dims\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    672\u001b[39m     data = duck_array_ops.transpose(data, order)\n\u001b[32m    674\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m new_dims != reordered_dims:\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~/anaconda3/envs/pymc/lib/python3.13/site-packages/xarray/computation/apply_ufunc.py:671\u001b[39m, in \u001b[36m<genexpr>\u001b[39m\u001b[34m(.0)\u001b[39m\n\u001b[32m    669\u001b[39m reordered_dims = old_broadcast_dims + core_dims\n\u001b[32m    670\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m reordered_dims != old_dims:\n\u001b[32m--> \u001b[39m\u001b[32m671\u001b[39m     order = \u001b[38;5;28mtuple\u001b[39m(\u001b[43mold_dims\u001b[49m\u001b[43m.\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[43md\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m d \u001b[38;5;129;01min\u001b[39;00m reordered_dims)\n\u001b[32m    672\u001b[39m     data = duck_array_ops.transpose(data, order)\n\u001b[32m    674\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m new_dims != reordered_dims:\n",
      "\u001b[31mValueError\u001b[39m: tuple.index(x): x not in tuple"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2880x837.092 with 8 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 860,
       "width": 2903
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_dist(\n",
    "    idata, sample_dims=[\"chain\", \"draw\", \"disasters_dim_0\", \"disasters_unobserved\"], kind=\"ecdf\"\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c401f916584f94a0",
   "metadata": {},
   "source": [
    "Note that the `rate` random variable does not appear in the trace.  That is fine in this case, because it is not of interest in itself.  Remember from the previous example, we would trace the variable by wrapping it in a {class}`~pymc.Deterministic` class, and giving it a name.\n",
    "\n",
    "The following plot shows the switch point as an orange vertical line, together with its highest posterior density (HPD) as a semitransparent band. The dashed black line shows the accident rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "190ee80df1eb445a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 823,
       "width": 2023
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(years, disaster_data, \".\", alpha=0.6)\n",
    "ax.set(ylabel=\"Number of accidents\", xlabel=\"Year\")\n",
    "\n",
    "trace = az.extract(idata)\n",
    "\n",
    "ax.vlines(trace[\"switchpoint\"].mean(), disaster_data.min(), disaster_data.max(), color=\"C1\")\n",
    "average_disasters = np.zeros_like(disaster_data, dtype=\"float\")\n",
    "for i, year in enumerate(years):\n",
    "    idx = year < trace[\"switchpoint\"]\n",
    "    average_disasters[i] = np.mean(np.where(idx, trace[\"early_rate\"], trace[\"late_rate\"]))\n",
    "\n",
    "sp_hpd = az.hdi(idata, var_names=[\"switchpoint\"])[\"switchpoint\"].values\n",
    "ax.fill_betweenx(\n",
    "    y=[disaster_data.min(), disaster_data.max()],\n",
    "    x1=sp_hpd[0],\n",
    "    x2=sp_hpd[1],\n",
    "    alpha=0.5,\n",
    "    color=\"C1\",\n",
    ")\n",
    "ax.plot(years, average_disasters, \"k--\", lw=2);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc585f5e692d74d4",
   "metadata": {},
   "source": [
    "## Arbitrary deterministics\n",
    "\n",
    "Due to its reliance on PyTensor, PyMC provides many mathematical functions and operators for transforming random variables into new random variables. However, the library of functions in PyTensor is not exhaustive, therefore PyTensor and PyMC provide functionality for creating arbitrary functions in pure Python, and including these functions in PyMC models. This is supported with the `as_op` function decorator.\n",
    "\n",
    "PyTensor needs to know the types of the inputs and outputs of a function, which are specified for `as_op` by `itypes` for inputs and `otypes` for outputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50e0528ff3f0623a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8319/1131948181.py:4: FutureWarning: pytensor.as_op is deprecated and will be removed in a future release. Please use pytensor.wrap_py instead.\n",
      "  @as_op(itypes=[pt.lscalar], otypes=[pt.lscalar])\n"
     ]
    }
   ],
   "source": [
    "from pytensor.compile.ops import as_op\n",
    "\n",
    "\n",
    "@as_op(itypes=[pt.lscalar], otypes=[pt.lscalar])\n",
    "def crazy_modulo3(value):\n",
    "    if value > 0:\n",
    "        return value % 3\n",
    "    else:\n",
    "        return (-value + 1) % 3\n",
    "\n",
    "\n",
    "with pm.Model() as model_deterministic:\n",
    "    a = pm.Poisson(\"a\", 1)\n",
    "    b = crazy_modulo3(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38caec886cbf9431",
   "metadata": {},
   "source": [
    "An important drawback of this approach is that it is not possible for `pytensor` to inspect these functions in order to compute the gradient required for the Hamiltonian-based samplers. Therefore, it is not possible to use the HMC or NUTS samplers for a model that uses such an operator. However, it is possible to add a gradient if we inherit from {class}`~pytensor.Op` instead of using `as_op`. The PyMC example set includes [a more elaborate example of the usage of as_op](https://github.com/pymc-devs/pymc-examples/blob/main/examples/case_studies/disaster_model_theano_op.py)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9444d0d580e524a8",
   "metadata": {},
   "source": [
    "## Arbitrary distributions\n",
    "\n",
    "Similarly, the library of statistical distributions in PyMC is not exhaustive, but PyMC allows for the creation of user-defined functions for an arbitrary probability distribution. For simple statistical distributions, the {class}`~pymc.CustomDist` class takes as an argument any function that calculates a log-probability $log(p(x))$. This function may employ other random variables in its calculation. Here is an example inspired by a blog post by Jake Vanderplas on which priors to use for a linear regression (Vanderplas, 2014).\n",
    "\n",
    "```python\n",
    "import pytensor.tensor as pt\n",
    "\n",
    "with pm.Model() as model:\n",
    "    alpha = pm.Uniform('intercept', -100, 100)\n",
    "\n",
    "    # Create variables with custom log-densities\n",
    "    beta = pm.CustomDist('beta', logp=lambda value: -1.5 * pt.log(1 + value**2))\n",
    "    eps = pm.CustomDist('eps', logp=lambda value: -pt.log(pt.abs_(value)))\n",
    "\n",
    "    # Create likelihood\n",
    "    like = pm.Normal('y_est', mu=alpha + beta * X, sigma=eps, observed=Y)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd02e4d9c03e0064",
   "metadata": {},
   "source": [
    "For more complex distributions, one can create a subclass of {class}`~pymc.Continuous` or {class}`~pymc.Discrete` and provide the custom `logp` function, as required. This is how the built-in distributions in PyMC are specified. As an example, fields like psychology and astrophysics have complex likelihood functions for particular processes that may require numerical approximation.\n",
    "\n",
    "Implementing the `beta` variable above as a `Continuous` subclass is shown below, along with an associated {class}`~pytensor.RandomVariable` object, an instance of which becomes an attribute of the distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8d3574572035fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/osvaldo/anaconda3/envs/pymc/lib/python3.13/site-packages/pytensor/tensor/random/op.py:97: FutureWarning: ndim_supp is deprecated. Provide signature instead.\n",
      "  warnings.warn(\n",
      "/home/osvaldo/anaconda3/envs/pymc/lib/python3.13/site-packages/pytensor/tensor/random/op.py:107: FutureWarning: ndims_params is deprecated. Provide signature instead.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "class BetaRV(pt.random.op.RandomVariable):\n",
    "    name = \"beta\"\n",
    "    ndim_supp = 0\n",
    "    ndims_params = []\n",
    "    dtype = \"floatX\"\n",
    "\n",
    "    @classmethod\n",
    "    def rng_fn(cls, rng, size):\n",
    "        raise NotImplementedError(\"Cannot sample from beta variable\")\n",
    "\n",
    "\n",
    "beta = BetaRV()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be48285632c3ed50",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Beta(pm.Continuous):\n",
    "    rv_op = beta\n",
    "\n",
    "    @classmethod\n",
    "    def dist(cls, mu=0, **kwargs):\n",
    "        mu = pt.as_tensor_variable(mu)\n",
    "        return super().dist([mu], **kwargs)\n",
    "\n",
    "    def logp(self, value):\n",
    "        mu = self.mu\n",
    "        return beta_logp(value - mu)\n",
    "\n",
    "\n",
    "def beta_logp(value):\n",
    "    return -1.5 * pt.log(1 + (value) ** 2)\n",
    "\n",
    "\n",
    "with pm.Model() as model:\n",
    "    beta = Beta(\"beta\", mu=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90a41c2722a90700",
   "metadata": {},
   "source": [
    "If your logp cannot be expressed in PyTensor, you can decorate the function with `as_op` as follows: `@as_op(itypes=[pt.dscalar], otypes=[pt.dscalar])`. Note, that this will create a blackbox Python function that will be much slower and  not provide the gradients necessary for e.g. NUTS."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8cb2133e79de8f02",
   "metadata": {},
   "source": [
    "## Discussion\n",
    "\n",
    "Probabilistic programming is an emerging paradigm in statistical learning, of which Bayesian modeling is an important sub-discipline. The signature characteristics of probabilistic programming--specifying variables as probability distributions and conditioning variables on other variables and on observations--makes it a powerful tool for building models in a variety of settings, and over a range of model complexity. Accompanying the rise of probabilistic programming has been a burst of innovation in fitting methods for Bayesian models that represent notable improvement over existing MCMC methods. Yet, despite this expansion, there are few software packages available that have kept pace with the methodological innovation, and still fewer that allow non-expert users to implement models.\n",
    "\n",
    "PyMC provides a probabilistic programming platform for quantitative researchers to implement statistical models flexibly and succinctly. A large library of statistical distributions and several pre-defined fitting algorithms allows users to focus on the scientific problem at hand, rather than the implementation details of Bayesian modeling. The choice of Python as a development language, rather than a domain-specific language, means that PyMC users are able to work interactively to build models, introspect model objects, and debug or profile their work, using a dynamic, high-level programming language that is easy to learn. The modular, object-oriented design of PyMC means that adding new fitting algorithms or other features is straightforward. In addition, PyMC comes with several features not found in most other packages, most notably Hamiltonian-based samplers as well as automatic transforms of constrained random variables which is only offered by Stan. Unlike Stan, however, PyMC supports discrete variables as well as non-gradient based sampling algorithms like Metropolis-Hastings and Slice sampling.\n",
    "\n",
    "Development of PyMC is an ongoing effort and several features are planned for future versions. Most notably, variational inference techniques are often more efficient than MCMC sampling, at the cost of generalizability. More recently, however, black-box variational inference algorithms have been developed, such as automatic differentiation variational inference (ADVI; Kucukelbir et al., 2017). This algorithm is slated for addition to PyMC. As an open-source scientific computing toolkit, we encourage researchers developing new fitting algorithms for Bayesian models to provide reference implementations in PyMC. Since samplers can be written in pure Python code, they can be implemented generally to make them work on arbitrary PyMC models, giving authors a larger audience to put their methods into use."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b337d08b39f9455f",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I., Bergeron, A., Bouchard, N., Warde-Farley, D., and Bengio, Y. (2012) “Theano: new features and speed improvements”. NIPS 2012 deep learning workshop.\n",
    "\n",
    "Bergstra, J., Breuleux, O., Bastien, F., Lamblin, P., Pascanu, R., Desjardins, G., Turian, J., Warde-Farley, D., and Bengio, Y. (2010) “Theano: A CPU and GPU Math Expression Compiler”. Proceedings of the Python for Scientific Computing Conference (SciPy) 2010. June 30 - July 3, Austin, TX\n",
    "\n",
    "Duane, S., Kennedy, A. D., Pendleton, B. J., and Roweth, D. (1987) “Hybrid Monte Carlo”, Physics Letters, vol. 195, pp. 216-222.\n",
    "\n",
    "Hoffman, M. D., & Gelman, A. (2014). The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo. The Journal of Machine Learning Research, 30.\n",
    "\n",
    "Jarrett, R.G. A note on the intervals between coal mining disasters. Biometrika, 66:191–193, 1979.\n",
    "\n",
    "[Kucukelbir A, Dustin Tran, Ranganath R, Gelman A, and Blei DM. Automatic differentiation variational inference,  The Journal of Machine Learning Research. 18 , pp. 430-474.](http://arxiv.org/abs/1506.03431)\n",
    "\n",
    "Lunn, D.J., Thomas, A., Best, N., and Spiegelhalter, D. (2000) WinBUGS -- a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing, 10:325--337.\n",
    "\n",
    "Neal, R.M. Slice sampling. Annals of Statistics. (2003). doi:10.2307/3448413.\n",
    "Patil, A., D. Huard and C.J. Fonnesbeck. (2010) PyMC: Bayesian Stochastic Modelling in Python. Journal of Statistical Software, 35(4), pp. 1-81\n",
    "\n",
    "[Piironen, J., & Vehtari, A. (2017). Sparsity information and regularization in the horseshoe and other shrinkage priors. _Electronic Journal of Statistics_, 11(2), 5018-5051.](https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-11/issue-2/Sparsity-information-and-regularization-in-the-horseshoe-and-other-shrinkage/10.1214/17-EJS1337SI.full)\n",
    "\n",
    "[Stan Development Team. (2014). Stan: A C++ Library for Probability and Sampling, Version 2.5.0.](http://mc-stan.org)\n",
    "\n",
    "[Vanderplas, Jake. \"Frequentism and Bayesianism IV: How to be a Bayesian in Python.\" Pythonic Perambulations. N.p., 14 Jun 2014. Web. 27 May. 2015.](https://jakevdp.github.io/blog/2014/06/14/frequentism-and-bayesianism-4-bayesian-in-python)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3271f3e24c067ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Sat Feb 07 2026\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.13.5\n",
      "IPython version      : 9.3.0\n",
      "\n",
      "xarray: 2025.6.1\n",
      "\n",
      "pymc      : 5.25.1+59.g4ba1d2f1c.dirty\n",
      "matplotlib: 3.10.3\n",
      "pandas    : 2.3.0\n",
      "pytensor  : 2.36.1\n",
      "arviz     : 1.0.0rc0\n",
      "numpy     : 2.2.6\n",
      "\n",
      "Watermark: 2.5.0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p xarray"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "pymc",
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