{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "first-cell",
   "metadata": {
    "id": "first-cell"
   },
   "source": [
    "(topological_posterior_predictive_checks)=\n",
    "# Topological posterior predictive checks with PyMC\n",
    "\n",
    ":::{post} May 21, 2026\n",
    ":tags: posterior predictive checks, model criticism, topology, time series\n",
    ":category: intermediate, how-to\n",
    ":author: Guillaume Sidoine\n",
    ":::\n",
    "\n",
    "Posterior predictive checks are a central part of Bayesian workflow: after fitting a model, we simulate replicated data from the posterior predictive distribution and compare those replicas to the observed data {cite:p}`gelman2013bayesian`.\n",
    "\n",
    "This notebook demonstrates a complementary diagnostic: **topological posterior predictive checks**. The idea is to use persistent-homology summaries as posterior predictive discrepancy statistics. These summaries can detect global shape features, such as connected components and loops, that ordinary low-order summaries can miss. Persistent homology summarizes the birth and death of topological features across scales {cite:p}`edelsbrunner2010computational,ghrist2008barcodes`.\n",
    "\n",
    "We use a realistic synthetic example: a noisy seasonal time series. In the raw time domain the data is one-dimensional, but its delay-coordinate embedding has a recurrent loop. We fit two PyMC models:\n",
    "\n",
    "1. A misspecified Gaussian model on the delay embedding. It can match means and covariance but cannot reproduce the recurrent loop.\n",
    "2. A revised Fourier seasonal model on the time series. Its posterior predictive delay embeddings recover the loop.\n",
    "\n",
    "The example illustrates a Bayesian workflow pattern:\n",
    "\n",
    "> ordinary posterior predictive checks pass → topological posterior predictive checks detect missing recurrent structure → model is revised → topological posterior predictive checks improve.\n",
    "\n",
    "The topology is used as an external diagnostic on posterior predictive samples. Related work has used topological summaries in likelihood-free and approximate Bayesian computation {cite:p}`thorne2022topological`; here the focus is posterior predictive model criticism in a standard PyMC workflow.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dependencies",
   "metadata": {
    "id": "dependencies"
   },
   "source": [
    "## Dependencies\n",
    "\n",
    "This notebook requires PyMC, ArviZ, NumPy, Pandas, Matplotlib, and `ripser` for Vietoris--Rips persistent homology.\n",
    "\n",
    ":::{include} ../extra_installs.md\n",
    ":::\n",
    "\n",
    "The notebook intentionally keeps the example small enough to run quickly, but the Markov chain Monte Carlo cells may still take a minute or two depending on hardware.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "imports",
   "metadata": {
    "id": "imports"
   },
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "import warnings\n",
    "\n",
    "from dataclasses import dataclass\n",
    "from typing import Iterable\n",
    "\n",
    "import arviz as az\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc as pm\n",
    "import pytensor.tensor as pt\n",
    "\n",
    "try:\n",
    "    from ripser import ripser\n",
    "except ImportError as err:\n",
    "    raise ImportError(\n",
    "        \"This notebook requires the `ripser` package. Install it with `pip install ripser`.\"\n",
    "    ) from err\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "warnings.filterwarnings(\n",
    "    \"ignore\",\n",
    "    message=\"The figure layout has changed to tight\",\n",
    "    category=UserWarning,\n",
    ")\n",
    "warnings.filterwarnings(\n",
    "    \"ignore\",\n",
    "    message=\"invalid value encountered in accumulate\",\n",
    "    category=RuntimeWarning,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "preamble",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "preamble",
    "outputId": "db3320df-7883-44a2-fff9-517956ee9a67"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "PyMC version: 5.28.5\n"
     ]
    }
   ],
   "source": [
    "RANDOM_SEED = 20260520\n",
    "rng = np.random.default_rng(RANDOM_SEED)\n",
    "\n",
    "az.style.use(\"arviz-darkgrid\")\n",
    "print(f\"PyMC version: {pm.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84269142",
   "metadata": {
    "id": "84269142"
   },
   "source": [
    "## A short intuition for homology\n",
    "\n",
    "Homology is a way to summarize the qualitative shape of an object. In low dimensions, the most useful summaries are intuitive:\n",
    "\n",
    "- **H0** tracks connected components. A point cloud with two well-separated clusters has two prominent H0 features.\n",
    "- **H1** tracks loops or holes. A noisy circle has one prominent H1 feature.\n",
    "- **H2** tracks enclosed voids in three-dimensional objects, such as the hollow center of a sphere.\n",
    "\n",
    "For point-cloud data, there is no single fixed shape at the start. Persistent homology therefore builds a family of shapes indexed by a distance scale. At a small scale, each point is almost isolated. As the scale grows, nearby points connect, loops can appear, and eventually loops are filled in. A feature's **persistence** is the gap between the scale where it appears and the scale where it disappears.\n",
    "\n",
    "This is useful for posterior predictive checking because some model failures are global rather than marginal. A model can reproduce means, variances, and correlations while still failing to reproduce a connected component, a loop, or another large-scale geometric structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "279bc51d",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 407
    },
    "id": "279bc51d",
    "outputId": "f0b21d28-885b-49dd-da57-fd842e6ca119"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ],
      "image/png": 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GbDa7T07//e9/e5VTHzlyhGeffbbCr2lkg37++ecKPS8sLIzx48cDap5dz0xXYWEhzz33HBcuXKBt27bVVmp84MABBg8e7LdxlD8TJ04kNDSUzz//nI8//tjrvm3btrk7OE+ePLla1vORRx4BVPfhL7/8stT9uq7z7bffsm3btgov+9ChQyxYsMDrtv/85z8sWbIEwD1HL6jvy6xZs9B1nVmzZvGf//yn1PKcTifffPMN+/fvr9B6fPbZZ+zevbtUSX9hYaE7MC1r/KwhNTXVZ7Oo7Oxsd8Mpz+UYF4nS0tL8Ngaryc/fl/K228qo7PZ1xx130Lp1a86fP8/zzz/vdSHhxIkT7kqCCRMmEBYWVup1dV3nmWeewWazuW/LysrimWeeQdd1Bg4c6HdMvi9SYi2EEEIIUU+9+uqrbNmypdTtM2bMcGeAOnfuzDPPPFPLa1ZswIABvPrqqyxcuJCffvqJli1bYjKZ6N+/P7fddhugTv53797N8uXL2bVrF506deL8+fN89913DBs2jF27dpVZlllS3759iYyM5PPPP+eee+6hQ4cOmEwmevToUW5Z68MPP8x3333HN998w5AhQ+jTpw9RUVHs37+f06dPEx8fz8svvxzQdD+ByMvL49dff63w8zp16sTTTz/NM888w5/+9Cfef/99OnbsyOnTp9m3bx+6rvPQQw+VO043UP379+fPf/4zL774IjNmzKB9+/Z07NiR6OhoMjIyOHLkCOnp6UydOrXCrzlhwgTmzJnDxx9/7P7b/+c//8HlcjFx4kT69evn9fj77ruP06dP8/bbbzN+/HiuuOIK2rVrR3h4OBcuXODIkSNkZmbyzDPP+JzOyZ9du3bxwQcfkJCQQOfOnUlMTCQnJ4dvv/2W9PR0WrRowZQpU8pdzsaNG5k9ezbNmzfnyiuvJDY2lszMTPbu3UtWVhZJSUmMGTPG/Xiz2Uz//v3ZsGEDI0aMoGfPnu5x0s899xxQs5+/L4Fst5VRme3LYrHw8ssvM3XqVJYuXcrWrVu5+uqrycnJYceOHRQUFNC3b19mzpzp8zX79+/PTz/9xIABA+jTpw+aprFr1y6sVisdOnTg6aefrtB7kABZCCGEEKKeOnHiBN9++22p27///nv3/31lVGrTb37zG+bOncvbb7/Nt99+yzfffIOu67Rs2dJ9on311VezaNEi5s6dy/79+zl79iwdOnTgySef5J577qnwCXnTpk1ZsGABr776KocOHWL//v24XC6cTme5AbLFYuGtt95i+fLlfPzxx/znP//BbrfTqlUrJkyYwNSpU+t8/LHh7rvv5je/+Q1vv/02e/fu5YcffiA6Opp+/foxceJEbrzxxmp9vYkTJ3LdddexaNEidu7cyTfffIPJZKJp06ZceeWV3HLLLQwcOLDCy7399tu57bbbeOONN9iyZQuFhYV07tyZ++67z+80Vn/6058YMGAAS5YsYe/evXz11VeYzWaaNWtG7969K7UuycnJhIeHs2fPHn7++WcuXrxITEwMrVq1YtKkSYwdO9Zv4y9PkydPpm3btuzbt4/vv/8eq9VKfHw8l19+OcOGDSM5OblUo6+///3vxMfH89VXX7FhwwYKCwuB4gAZau7z9yWQ7bYyKrt9devWjdTUVBYsWMDWrVv57LPPsFgsdO7cmbvuuosxY8b4HUoQFxfH8uXL+fe//82WLVtIT0+nadOm3HnnncyaNctrfuRAaHpFWnoJIYQQQgghRAAmTJjgztrW9ZhuEXxSUlJ44oknGDlyZLU2dJMxyEIIIYQQQgghBBIgCyGEEEIIIYQQgATIQgghhBBCCCEEIGOQhRBCCCGEEEIIQDLIQgghhBBCCCEEIAGyEEIIIYQQQggBSIAshBBCCCGEEEIA4Hu2ZSGEEEIIUe9lZGTU6PLj4uKw2Ww1+hr1XWP/DOT9N+73DzX7GSQkJNTIcqtCMshCCCGEEMInk0lOFRv7ZyDvv3G/f2h8n0HjerdCCCGEEEIIIYQfEiALIYQQQgghhBBIgCyEEEIIIYQQQgASIAshhBBCCCGEEIAEyEIIIYQQQgghBCABshBCCCGEEEIIAUiALIQQQgghhBBCABIgCyGEEEIIIYQQgATIQgghhBBCNAp2u05amo7drtf1qgD1b32EAAit6xUQQgghhBBC1ByXSyd1NaxZq5OVDTHRMGwojBgOJpNWY69rt+tkZkJsLFgsxa9TV+sjRCAkQBZCCCGEqISPP/6YPXv28N133/Hjjz9SWFjI888/T3JycoWW43K5WLx4McuXL+fYsWNERkZyww038Oijj3LJJZfU0NqLxiR1NXywUMdkgvBwsFrV76CRPKL6X6+sANjhgA+X66xMgZCQ2lkfISpCAmQhhBBCiEp4+eWXOXXqFAkJCTRv3pxTp05VajlPP/00K1as4IorrmDChAmcP3+eTz/9lK+//pply5bRoUOH6l1x0ajY7Tpr1qrgOCFB3RYRARkZsHadzrAh3tnd6uAvIN//LZw4Ab8eVY9LTFT31/T6CFERMgZZCCGEEKIS/vGPf/Dll1+yY8cOxo0bV6ll7NixgxUrVtCrVy9SUlL44x//yD//+U9effVVrFYrzz77bDWvtaivamo8bmYmZGWB2Qy6x6LDw9XtmZlVfw3PdS8ZkEdEqJ8FBbBlK1y8qNZDd0F6Olht5a+PjFUWtUkyyEIIIYQQlXDDDTdUeRkrVqwA4Pe//z0Wi8V9e79+/ejduzfbtm3j9OnTtG7dusqvJeqnmhyP63LpfLlZ52IGFBaqIDk+DuLjIT9fBa6xsdW77rf0g8wsFfAadB3yC9TPuDjIzgGnU/1us0FcrO/1kbHKoi5IBlkIIYQQoo7s3LmTyMhIevToUeq+m266CYBdu3bV9mqJWmSUI1utYA4tLkdOXV36sRXNpKauhiVLVWAMKkhOS4PTp8HlgqFDtCqVM/ta95WrwOVUAa/B6VT/QkLUv/g4oOgtOBwqq+xrfcr6bCqbVZZstCiPZJCFEEIIIepAbm4uFy5cICkpiZCQkFL3t2/fHoBjx47V9qqJWhLo+ODKZFI9l926lSplttnAbocCO4xOhiGDVWOs6l53NHA61P/DwyEvHzQNwsLAZFIZbIC0dDBpaizyncM0RgwPbPmLluis/gRycgPPKks2WgRKAmQhhBBCiDqQlZUFQHR0tM/7jduNx/kSFxeHyVSzBYEJRnTSiNXUZ3D+vIvcXBtRURAaWhykRUXp5OSApsWRkGBi6bJ8Fi3OxRSiERGukZmls2gxREZGcs/d4eUu22zWaNpER8PInsLCJbBug8aUyeGMGxteZpAYFRWP1aoTH1+c4S1r3QsLYdTdYXz2uZ3MTJ1mTTV69ghhzx47NptGRISGpukkJsK948K5f2JEqUy2v+U7nS4yrDq6DtFRpoA+C6BSn6FBtoHG9RlIgCyEEEII0UDZbLYaXX5CQgIZGRk1+hr1XU1+BrquExmpSog9hqCTk6Oyprpu5dw5WL5ClQPHxQLoWCwqk7rioxz635Lrs0y65LIzrKq82uVS97tccOGCzr9fySUvL4/kEaWX4XLpbPw8kuUrcjyyrirTq+uUue533ZnPXXdSNA+yTmioi9TVGmvX6WRl6cTFqZLqEcPzyckpICen/M9G11Um3GRSZdomkyugz8Ju170+Q5dLJypSrVtZzwPZBqBmP4P6GHjLGGQhhBBCiDoQExMDQHZ2ts/7jduNx4ngY7FoDBuq4XKpIC8vT/30HI+bmQlZ2d5Nr6D8LtSey754sXi5AKGhalyypqnu0p+s8T0mN3U1vLkg1+cY4EDW3WLRaNpU/TSZNJJHaLw2T2P+XPUzeYTmN3Pta/npRR2wY6JVkBzoZ2F8hmFh6kLB8RNw/LgKts+eBatVxiOLYhIgCyGEEELUgcjISJo1a8bJkydxOp2l7jfGHhtjkUVwGjEcJk7QSEhQDasSEtTvxnjc2FgVEHo2vXK5VKY2KqrsLtTGsmNjVeMsKG6UBSrI1HUVQJYMLt1jgEO8p2symdT4aLtdL3fdffEMmiv62TRJhKZNVIDvKT8fYmL8fxbGZ5hhVVNLOZ2ocdJO1VF7y9ZyV0U0IlJiLYQQQghRR3r37s3atWvZu3cvvXr18rrvq6++Aih1u2jY7Ha9qOwYj8wqDBuC1+0GlUlVmduLF1WgmJWtguSQEFizDkYM131mYo1lDxygM2MWnDjpfb/LpbLIsbGlg0sj6xoRruFuOY13trZp07LXvapKfjbh4TopqbAypbgBWH5++R25LRaNwYN0Xn1NXRAIMYFLVw3CIiJg/Ua4a7heresuGi7JIAshhBBC1LCLFy/yyy+/cPHiRa/bx44dC8DLL7+M3W53375lyxZ27dpF3759adOmTa2uq6gZLpdOSqrO9Jk6Mx5SP1NSdVwuFXyWlVk1MqmaCWxFmd64OBW2vve+zsqUskuEo6NNjByhERamMskOBzgKVbAYFqY6SJd8XSPrmpfvvWxf2dqKZIUrIzQUtm6Dhx+FT9YWZcA1NW1VIFlrgFtuVhn3kBD1uYWEQJMm6vlllWeLxkcyyEIIIYQQlbBixQr27NkDwI8//ui+zZi3uGfPnowZMwaAxYsXM2/ePGbNmsVDDz3kXsZ1113HmDFjWLFiBcnJyfTr148LFy6wbt064uPj+ctf/lLL76pxKZnNrcnnGXP6mkwq82mM5wWVJS1ruSaTxrAhOp+sUQFuYqKasslqU0Hi6wtAx8XoZP9jeo3GWouXFk3FpENCIoy/B5/BpZG5XrS4YtnamlDys3M6VHn0iOEwbmxg6xIfr9GyhU6GFWJjVICsaeq9JSSUXaouGhcJkIUQQgghKmHPnj2sWrXK67a9e/eyd+9e9+9GgFyWv//97yQlJbF8+XI++OADIiMjuf3223n00Udp165dta+3qPycuJV9XnnzHQ8ZrLNuvVbmcjMz1XjZyEgVHKenA5oqEy4shIWLVabVCLZLMpk0Ro3UuHOoTlq6jgY0aVJ2cDliuBorv+KjHLKy1LqrztPlfMDVqKzPbstWGDc2sOV4lqpnZdVtwC/qN03XdWnbJoQQQgjRANX09DPBOsVNSqrulZE0AqWJE7RS0x15fgYVeZ6ntDRVVm0OVcGdIS9PlTsPGwopqyhzuXa7KsvOsKpg2elUWVCHQwXGsTEqs/zavOoN9hISEjh37mKNjDEORHmf3fy5qrw7EMYFDjXVlCoVNwJ+fxc4gnUbqAiZ5kkIIYQQQoggVTIj6as7c3U+D3x3ogb1e3Q0fLmJcpdrTHvkdKiMMboKEEGNR46IqLmxtDU9xrgsZX12ZXWu9qWiU02JxkkCZCGEEEII0WhUdl7hyj4Pyp4z+JZ+kJMb2HJHDIcJ49Ucxi5dZY6bNIH4uMoFjA1BIPMtV2aZdRXwg7rYkpZW9kUVUXdkDLIQQgghhGg0jIyk1epdspufX3azpso+z6DG7Wru8t6EBBg8EK6/XmWQMzPLX67JpDFmtIaOS405DoHwMLVOwTyW1tdnV9tjoatDZcewi9olAbIQQgghhGg0PJs1VXQu3co8z+A5p6/VqrN5K3y6AZavVF2Zc3JVl+mIiPKXOzpZIzSUBh8wBqq8uaIbikA6mYu6JwGyEEIIIYRoVCqbkayOTKbForFtOyxZ6j1tEYBmUuOKy1tusASMFaVKo8t+TGWn7qpp5XUyHzakfq1vYyYBshBCCCGEaFQcDri5LwwcAPn5WsDBVHUEpv4CJVBjiZ/7e/nTLxkCCRgbC3/ly0MG62RnB/43rilp6To2G4SFed/uOdZc/pb1gwTIQgghhBCiUShrDGhFVCUwLavZV3Y2mM3BOY64pvkqX35jgc6ixRASqtfZeF/jO7f6E0i/qG5rkgjx8er/gY5hF7VHulgLIYQQQohGwQiirFYwhxaPAU1dXXvrUJ3TFgnF1xRcmgZ5uXAxQzUzC+RvXRPdpY3vXGam+ru7XHDhApy/UPVu3KJmSIAshBBCCCGCXlXmMa5ONTFtUWNXMiuv62C1qTHdmgYWS9l/a5dLJyVVZ/pMnRkPqZ8pqTouV9W+EyW/c82aqTJqU4iqFoiPh4kTgre5WkMlJdZCCCGEECLoBTKPcW2NAW2I0xbV1+ZXUHoKLqdTXXBAV0GxqSgl6O9vbWR5NRNYzJBhLe4u/dsHKr9eJb9zmgYJ8RBmAbtdjTdv1ap+fZZCAmQhhBBCCBGESgZ0VZ3HuDo1pC7URna1Ps/dW3IKrrAwFSDrQFxccYDs629tt+t8slanoADshep5pqJAec06nQnjK59F9vedKyhQ69GkSf34/IQ3CZCFEEIIIUTQKKub8S39YOUqKjyPcU1lTxtCF+plKwoaxNy9JbPyTZpATg7oLlXG7u9vnZkJ585Bbq4qyTZpKgOdWwjnzqo5q83myq1TVefOFnVD03W9dgZcCCGEEEKIapWRkVGjy09ISKjx16guRhD75WadJUtxB3R5eZCbB1GRauynywloEBICsTHFpc2+sqEul87GzyNZviLHI9j2//hgY7frzHzYRHq60z0lFagLDAkJ8Nq8+hfkGd+D6GiddeuLA+YYP3/r7GwXd42CwkK8AmHj961fJlBYaKv0+hgXbMpbj/qsJvcDCZ5frHpCMshCCCGEEKLB8soYZ6muxWYztG6lxnzmF6gguaAAWrWEAic4HSrjOG5s2QFe6mpYtDgXqN/Z05qSmQlZWXq9GLcdqOKsfGBl7Pn5GmFhOoWFan5sk6lo/DIQHqYyy5XNIEPDKqcXinSxFkIIIYQQDZbn1E0mk8r85eaqLsYuF9hsoOHdzTgkBLZsLXu57g7EIXXb9bouxcZCTIzWoKekUgGz/wshsbHQojlERkJoUeowNFT93qIFxMdXTzBb3nqI+kMCZCGEEEII0SCVnEYnKqo422ezFXUzLiqpNplUYAzeGVB/jA7EEeHeAU0gzw0WFovGqOTwoJ6SymLRuHOYRniYKrlv1kz9DA9T5fRAtc+NLOo3KbEWQgghhBANkq9pdOLjIC1NZZLz81UnY92lbteK4rlAOlcbHYgzs3QsluLb66LrdV26e0wYubm5DWpKqooq2eArMRGG3AG6rnPvBBtWm17j3bvr8zRajY0EyEIIIYQQokHyNY1OfLwqsbYXgq6rYCcnR/2/rG7GJRkdiBctrnjX62CixtBqQT2G1tc44TXrVOl+qNmFxVxz48/9dV1vSE28go2UWAshhBBCiAZJBbFaqRLgsDCYPlV1WV7yAUybqpGQoJowJSTAxAmBZUBHDIffTY2s1HODTWMYQ2u8R8Bdut8k0VSj4889x9CbQ4sD8dTV1fYSooIkgyyEEEIIIRqskuWxniXAKgNX+S7CJpPGPXeH0/+W3KDNnorSSpbuG6q7e3fJMfSgKiEyMlQgPmyIfN/qggTIQgghhBCiwQp0Gp3i6X8qrirPFQ2PZ+l+TEzx7dU9/ry2AnFRMVJiLYQQQgghGrzGUAIsaodn6X56uqvGuncbgXhDnkYrGEmALIQQQgghhBAeRgxX480TE001Nv7c3xj6xtYIrr6REmshhBBCCCGE8GCU7k8YH8exYxkBjz+v6HRNZY2hF3VDAmQhhBBCCCGE8MGzs3VZKjtdU6Bj6EXtkRJrIYQQQghRp+x2nbS04ulzSv4uRH1X1emaZAx9/SEZZCGEEEIIUSdKZt2io+CSS3ROnITsCmThhKhLMl1TcJEAWQghhBBC1Akj62YyqaltzpyFn39RgXJCQnEWzpjLWIj6SKZrCi5SYi2EEEIIIWpdyaxbWBgUFoKmgb1QBRcJCWAyqSyclFuL+qohTNckwxYCJxlkIYQQQghR60pm3VwucDnBpKn/O50QGipZOFH/qemaVLVDRob6zubnV326pop2xPalss3DGjMJkIUQQgghRK0zsm5WqxqvaTKBKURlkc0mCAlRj8vPV5nk+pCFE8Kf6pyuqTqD2pLDGGTYQvkkQBZCCCGEELXOV9bNbAa7HSxmFRhXRxZOiNpQndM1VVdQK83DKkfGIAshhBBCiDoxYjhMnKCRkAAOB7RuBbfeAq1aq98TEtT9lcnCCVEXqjpdU8mgNiKi8mPxA2keJkqTDLIQQgghhKgT/rJu1TH2UoiGyDOo1XU1Fj8kpHJj8UsOYzDIsIWySYAshBBCCCHqlMq6+f9diMYiNhaio+HsGdXN3eVS2WOLWVVWVCSoranmYcFOAmQhhBBCCNEoSaZa1DcWi8YlbXV+/llNeaZp4HSosflt21Tse2q36/S9QcfpgPUbqXLzsMZCAmQhhBBCCNGoyNQ3or6y23VOnICoKJXtdTjU7ZoGB7+D/HwX4eFlt5Hy9f0ePAhuuRni4yVzXB5p0iWEEEIIIRoVo0uw1Qrm0OIuwamr63rNRGOXmQnZOaqju+5S44/NoarMOj0dln9U/jJ8fb+XLIVt2yU4DoQEyEIIIYQQosrsdp20tNJddv3dXleqs0uwENUtNhaio1Q5tGaC0FA1Pzio7+imzZT5HZXvd9VJibUQQgghhKg0f+XKw4fprF6j1bsy5kCmvpEGYaKuWCwat96i88s7oAEuTTXVArUN5eSU/R0t+f02OmGHhcn3O1ASIAshhBBCiEozyjlNJnVSbpQr7/8WDhwofTuoqZ3qikx9I+q7saMh9WO4mKF+Dw2FuDhVch0TU/Z31PP7XVAAVpsKsF0uaNIEoqPVNij8kxLrCurfvz+dOnUiJSWlzMdNmDCBTp06MXfuXJ/3Z2dnM2fOHAYNGkS3bt3o06cPv/vd7/jmm2+qtF4nT56s1PNr0+OPPx7QZ1jdzxWiMWtI+wghRMPhr5xTM8HX21VjIeP2uDiVzfpkTd2WeaqpbzRcLsjIgLw89VOmvhH1RXi4ifvGa8TFQmwMNG8G6Gr7Ke87any/c3LhwgXV5MvlVM/NyYF16+X7XR4JkOtAeno6o0aN4o033iAnJ4dbb72VK664gq1bt/LAAw+wcOHCul5F5s6dW2aAXxNSUlLo1KkTjz/+eK29Zl3o1KkTnTp1quvVEHVg586ddOrUiQkTJtT1qohGqi727SK4+StXtpjVibnZok7MM6xw/ITKZh09Ch8u13G56i5IHjEcJk7QSEhQ65mQoH6XqW9EfTFiOEyaqOYDdzor9h0dMlgnKlKNXTaZINSsyqojI2QcciCkxLoOPPXUUxw9epTrr7+e1157jYii+p4tW7YwY8YM/vd//5devXrxm9/8JuBlvvfeexQWFtKiRYuaWu1q84c//IGpU6fSvHnzWn2uEEIIIaqXv3Jle6EqCy20g9Whuu9qRYkrHVi5CqKjqbNSa5NJlXkPG4LMgyzqpUC/o77m8s7O1ggJ1WnVEiwWFSSbTKpaQsYhl08yyLXs559/5osvviAkJITnnnvOHRwD9OvXj5EjR+JyuXjzzTcrtNx27dpx2WWXYTabq3uVq13z5s257LLLiImJqdXnCiGEEKJ6+StX1l1w4w2qbPniRVRUjBr52CQRQupJR12LRaNpUymrFvWXv++oy6WTkqozfabOjIfUz5RUVZlhXLgqKCjqgl0U8eXnlz+GWUiAXOs+++wzAHr06EGbNm1K3T9s2DAANm3aRGFhYcDL9Te+0BgLvXPnTg4fPsysWbPo06cPXbp0YciQIbzzzjvouvfBqVOnTsybNw+AefPmuUuCS5Y/l1cq7PnannyNI+7fvz9PPPEEAKtWrfJ6Tc9y1PLGIK9du5ZJkybRu3dvunTpwq233soTTzzBr7/+Wu7ntmPHDiZPnkyvXr3o1q0bI0eOJDU11e/7qyijtNHg+R6Ndfjiiy/o1KkT06dPL/X8Z555hk6dOnHVVVeRnZ3tdd/u3bvp1KkT48ePL/W8X375hSeeeIJbb72VLl260Lt3byZNmsS6desq/V5+/fVXnnnmGQYNGsTVV19Njx49GDJkCM888ww//vhjldfBswz04sWL/O1vf6Nfv3506dKFfv368eyzz5KZmVnqeZ5l+rm5ufzrX//i9ttvp0uXLtx4443Mnj2bc+fO+X1f586d4/nnn+eOO+7g6quvpnv37owaNYpFixbhcDj8Pu+bb77h4Ycf5uabb6ZLly5cd911jBo1ildeeYWMDNVhY8KECUycOBGAXbt2ef3t+/fv73OZs2bNom/fvnTp0oXrr7+emTNnsm/fPr/r8fPPP/Pwww/Tp08funXrxrBhw3j77bdxOp1+n1MeXdfZuHEj06ZN48Ybb3R/lvfccw9vvvkm+fn5pZ5Tle1wy5YtTJgwgZ49e9KrVy+mTZvGDz/84H7sJ598wt1330337t259tprmTVrFsePHy+1TM9y9ry8PObMmcPtt99O165d6du3L08++WSZ34Xa+s4afv31V55++mkGDBhA165d6dmzJ+PHj+fjjz/2+fia3LefP3+ef/zjHwwaNIiuXbty9dVX069fPyZNmsTbb7/t9z2IxstfufLTf4ZRyUXtgDQ1n2uTJmosstmsslhlbBZCiDKUNZe3jLOvGimxrmWHDx8GoEuXLj7v79q1KwC5ubkcO3aMyy+/vFped9u2bbz77ru0a9eOG2+8kQsXLrBnzx5efPFFzpw5w5///Gf3Y0eOHMnhw4c5cuQIv/nNb7jyyivd9/Xs2bNa1qekQYMGsX//fvbu3Uu7du28XufSSy8t9/m6rvP444+TmppKaGgo1157LU2aNOHQoUOkpKTw6aef8sorr3DzzTf7fP7KlSt57bXX6Ny5MzfddBOnTp1i//79zJ49G6vVyv333+/1+JMnT3LbbbcB8MUXX9C2bdty1/HKK69k5MiRrFq1ClCfs6fIyEj69OlDaGgou3fvxuFwEBpavIkaDdwcDgc7d+50vz7A9u3bAbj++uu9lrl582YefvhhCgoK6NixIwMHDiQ9PZ3du3ezY8cOtm3bxv/+7/+Wu+6ePvnkE5588knsdjutW7emX79+uFwuTpw4wYcffkiTJk1ISkqqlnU4c+YMI0eOxOFw0KNHDwoKCti7dy+LFi3i22+/ZenSpT6rJrKyshg3bhxnzpyhZ8+eXHHFFezfv5/U1FR2797Nxx9/XKoKYffu3cycORObzUabNm244YYbsNvtHDx4kGeffZZNmzbx+uuvl3q9f/zjH+6+AVdeeSXXXnstWVlZ/Prrr7z66qv06dOHPn36cNNNN2GxWNi2bRtNmzblpptuci8jISHBa5kvvvgi77zzDiaTiS5dutCzZ0/OnDnDF198waZNm3j22WcZNWqU13P+85//MHXqVHJzc7nkkku48cYbycjI4P/+7//49ttvA/jLllZYWMgf/vAHNm7ciMlkolu3blx33XVkZGTw888/869//YshQ4a4v/9V3Q6XLVvGggUL6N69OzfddBOHDx9m8+bN7N27l5UrV/Lhhx/y/vvvc+2113LTTTdx4MABPvvsM7799lvWrFlDXFycz/dw//3388MPP9C7d286d+7Mnj17WLlyJVu3bmXRokV06NDB6zm1/Z399NNPmT17NgUFBVx66aX069ePrKwsDhw4wJ/+9Cd27NjB888/7/P1qnvffuHCBUaNGsX58+dp3bo1N910E2FhYZw/f54jR45w6NAhfvvb3/pcF9F4+S8F1Rg3VmfTZp2MDEhMBJsNjh2HwkIVJH+5WWd0ct1O+yREQ1OyOR6oIQ4ZGaoyY9gQisYqa6xdp5OVpR43dIiMsw+EBMi1zMjwtmrVyuf90dHRREdHk52dzcmTJ6stQH7zzTf529/+xrhx49y3ffPNNzzwwAMsXryY3/72t7Rs2RKAF154gblz53LkyBEGDBjAQw89VC3rUJbZs2eTkpLC3r176dmzJy+88EKFnv/hhx+SmppKQkIC7777rvvET9d15s2bx7x58/if//kfNmzYQGJiYqnnL1iwgNdee41bb73VfVtKSgpPPPEE8+bNY9y4cYSX7EBSQQMGDGDAgAHuANnfe+zatSv79u3jwIED9OjRA4DTp09z9OhROnXqxA8//MA333zjFSAbwfMNN9zgvi0tLY3HHnuMgoICHnnkEaZPn45WNADs4MGD/Pa3v2XlypVcc801jB07NqD38N133/HEE0/gcDj4y1/+wvjx4zGZigtRTp065c6YVsc6rFy5kuTkZP72t79hsVgAFYDcfffdHDx4kA0bNrirLjx9/vnn9O3blyVLlhAdHQ2AzWZj0qRJHD58mCVLljBt2jT34y9cuMCsWbPIzMzkr3/9K+PGjXO/r4yMDB555BG2bdvGG2+8waxZs9zPW7hwIQsXLiQ+Pp6XX36Z6667zms9Dhw4QLNmzQD43e9+x9VXX822bdu49NJL/f79ly9fzjvvvEP79u155ZVXvHoR7N69m2nTpvHXv/6Vnj17ugO7goICHnvsMXJzc5k0aRKzZ88mJCQEgCNHjnD//fd7/V0C9a9//YuNGzfSpk0b5s+f77Uuuq6zY8cOr6C0qtvhe++9x7vvvuu+0ON0OvnDH/7A+vXrmTlzJufPn2flypXu9cjLy+OBBx5g3759LFmyhBkzZpRa5r59+2jfvj3r1q2jdevW7s/rj3/8Ixs2bGD27NksW7bM/fja/s7+8MMP/OlPf0LTNObOncvAgQPd9506dYrp06eTkpJCnz59GDFiRKnXq+59+7Jlyzh//jx33303f/vb39zvHdTFhv/85z+lniOE5xjIpk29A12LRePOYfD+BzqnTqlMljHDjNkMS5aqEtC6nPZJiIYmsLm8ZZx9ZUmJdSU98cQTpUpkPf/t2rXL5/NycnIAlS30x7ivZBltVQwcONDrBApUtrFv3744nU527NhRba9VF9555x0AZs6c6ZUV0TSNWbNm0alTJzIzM1m+fLnP5993331ewTFAcnIyl156KVlZWXz33Xde95nNZjp27EjHjh2rfdy3ERwYWWHP/0+aNIkmTZrw9ddfu+/Lzs7m4MGDREdH061bN/fty5cvJysri6uuuooZM2Z4neh27drVXcZdkZLJ1157jcLCQu677z4mTJjgFRwDtGnTxqs6oqrr0LJlS55++ml3oAHq4tJ9993n9bmUFBkZyfPPP+8OjgHi4uL43e9+5/N577//PlarlfHjx3Pvvfd6va+EhAT+3//7f5jNZhYvXuwuW3U4HMyfPx+AZ599tlRwDNCtWze/F8N8cblc7u7Cc+bMKdWor1evXjz44IMUFhZ6BXUbNmzgzJkztGrVij/+8Y/u4BjgN7/5jc+S/fKkp6ezaNEigFKBOqht6/rrr/fKxFd1O5wwYYJXFURISIj7QsaPP/7Iww8/7LUeERERTJ48GaDMKfL+9Kc/uYNjgLCwMP76178SERHhrlwx1PZ39vXXX8dut/PII494BcegtqfnnnsOgA8++MDn61X3vj09PR2Am266yeu9g9rvlaxSEY1bWWMgPR+j6zqmEMjJBZeuxkM2aQKtW6n/14exyEI0JMYY45KjnHyNMZZx9hUnAXIl9ejRg5EjR/r917SetYYrGfwZLrvsMkCNOWuozp496x6DWLJsGdTJeXJyMkCp8dCG8j6fkmMVW7Rowfr161m/fn21dw43ssCeJ9LGyX/fvn25/vrr+e9//+tep507d+JwOOjVq5dXSbZxkcbXZwIwevRoAI4ePVrmWEyD0+l0r1OgGeeqrsP111/v1cjO4O/vYujSpYvPTudGuX7J523ZsgWAO+64w+fyWrRoQfv27bl48SJHjx4F4NChQ1y8eJGEhARuv/12n8+rqO+//57z58/Trl07v8MwevfuDeA1Ftn4nO+44w6fF2z8ff5l2blzJ4WFhVx11VV+18VTdWyH/fr1K3Vb+/btA7rf3z4sNjbWq9rC0KRJE3eZu+cFzdr8zrpcLrZu3QrAkCFDfL5e165diYyM5PDhwxQUFJS6v7r37cZFtpdeeomNGze6L+oK/w4cOMDUqVO59tpr3ZUFFenxYPRO8PfP3/ZSH5Q1BtLzMQsXqaZdIUVTzui66mitad4ZLyFEYDzHGF+8qLLJFy/KGOPqIiXWlTRmzBj3yZ4vEyZMIC0trdTtUVFRgBpj7I9xn2f2q6rKKukGfJ54NRTGCWd8fLzfz6xdu3Zejy3JM7vkqS4+n2uuuYbIyEgOHDhATk4OkZGR7Nixg8suu4wWLVpw/fXXs2bNGrZv387IkSN9lldD8Xv1Nz46NjaW+Ph4rFYr586dKzfQt1qt7u9mx44dA3ovVV2H8r63drvd5/0Vfd6JEycAfDY5K+nixYt07NiRU6dOAeqzKJlpqyxjPY4fP17uXNkXL150///s2bOA/885Li6OmJgYsrKyAl4X4/0F0gMAam47NPaZ5d3v77vQpk0bv38f4/MyPj/PdauN76zVanVXCvkK/kuyWq0Vfr2K7rvuuusuvv76az755BMeeughQkJCuOyyy+jZsyeDBg2SDHIJO3bsYMqUKVgsFoYOHUpUVBQbN27k0Ucf5ezZs+4Kh0DcdtttXpUXBl8NPeuDQMZAAu7HxMerk3inUwXINhvExaqMV0KCdNUVoqKGD9PZ/y18vV01xwsNVZ3jhw/TcY9jEJUiAXIta9OmDYcOHeLMmTM+78/OznafMFXnQbFkKWxtcLlctf6alVVdAU51MJvNXHvttWzdupVdu3bRqlUr0tLS3NlNIxD++uuvGTlypDurWzJADgaV/d5W9HnGd3XQoEFlDn8AFQDWFKN8u1mzZvTt27fMx5Zs7BUMytsOa2o/VrLbc1VUZB0995GBZPl9VQdU92diMpl46aWXmD59urtB2t69e1m6dClLly7l1ltv5dVXX/Uq42+sHA4HTz31FJqmsXjxYndwO3PmTEaPHs2cOXMYNGhQwMfyAQMGlHnhvb4JZAwkFD9G0yA+Ts2HDOqE/uJFdbtkvISouNVrNA4cUFM6Wcxq7vEDB9TtMqa/aiRArmWdO3dm48aNpca0Gg4ePAioMZQlO6vWN2azmcLCQrKzs31mjE6fPl0r62FkVIxsjK91MTJz1V0OXVNuuOEGtm7dyvbt291ZMyMAbt26NR06dGDHjh2cO3eOX375hebNm5dq6NaiRQv++9//ut97SVlZWVitVvdjyxMfH09ERAR5eXn8+uuvXp2q/anudagprVq14ujRo0ydOtXdSb48xt/l6NGj6LpeLRdZjGZK8fHxFWpUZ3x2Jad5M2RmZlYoewzF7++///1vhdahvm2HRia8rPuMzx1q9zubkJBAeHg4+fn5/OlPf/LZuKyuXH755e59itGQ7X/+53/YtGkTqamppbqoN0Y7duzg+PHjJCcne2V+Y2JimD59Oo8//jirVq3yauwXTIwxkFaryhwbSmaEPR9jXF9MSweTprpa3zlMuuoKUVG+KjjAu4JDLjpVnoxBrmUDBgwAYO/evT4DyDVr1gBqXFl1N3+qCOO1y5r71Rjj6esE+siRI36z5FV5TV9atmzpLt30NT+yruvuztF9+vSp0LJrQiDv07NR1/bt2wkNDXWPPTXuv3DhAu+9957X4z0Zj/c3l/PKlSsB6NChQ0An+iEhIe4g3V+TpZpeh5pijEX99NNPA35Oly5dSEhI4OLFi3z++ecBPae8v33Xrl1JSEjg559/5qeffgp4XXr16gXA+vXrfc6fXpn5vK+77jrMZjOHDh3i0KFD5T6+vm6HmZmZfPnll6Vuv3jxIl999RWA17ZVm99Zz22qIt+9qqjMftZoyGZ03zamK2zsjPHqvqo9jNt2794d8PK+//573nnnHd58803WrVtXqc7ztSmQeVZ9PUbXVaD8wP3wxnyN5BGaTPEkRAUFWsEhKkcC5Fp2xRVXcNttt+F0Ovnzn/9Mvkf7uS1btrBq1SpMJpO7225dMTIqP//8s9/HGCd28+bN8xpXd/LkSR5//PEKly0ar/nLL79UdHXd47zmz5/PkSNH3Lfrus78+fM5fPgwsbGxATeXKs+5c+cYPHgwgwcPDqjBlSfjpLqsz7ZTp040adKEn3/+mZ07d3L11Vd7ZeSMz37x4sVev3saO3Ys0dHRHDp0iNdff93r7/H999/z2muvAVRoTtPp06cTGhrK4sWLvTo6G06dOuVVHVET61ATpkyZQmxsLO+99x7vvPOOz/GsJ06c4OOPP3b/Hhoa6u5o/NRTT/k8ET5w4IDX+FbjO37s2DGfgazZbGbWrFnous6sWbN8TqnjdDr55ptv2L9/v/u2wYMH06JFC06fPs2cOXO8Snd//PFH9+dcEU2aNOGee+4B4Pe//z0//vij1/26rvPNN994ZaZrezsM1Isvvuj1d7Db7fztb38jNzeXbt26ec27Xtvf2VmzZmE2m/nnP//JqlWrfA5N+fHHH9m4cWO1vF55+/bU1FSfFU7Z2dnugLC+jomtbUbDPs9GcoZmzZoRGRnJsWPHAl7ewoULefHFF/nXv/7Fo48+yi233MKbb75ZXatbJXa7Tlpa6U7TI4bDxAkaCQmqZDohQf3umRH29ZhJEzTuu1fKqoWorIp0sRYVJyXWdeDZZ5/ll19+Yfv27QwYMIBrr72W9PR0du/eja7r/PnPfy41pUpt69u3L5GRkXz++efcc889dOjQAZPJRI8ePdylddOmTWPDhg1s2bKFQYMG0bVrVy5evMjBgwfp0aMH3bt39+q0W56rr76a5s2b8/333zNy5EiSkpIIDQ2lY8eOTJkypcznjhs3jn379vHxxx8zatQoevXqRZMmTTh06BC//vor4eHhvPTSS9VWwlhYWMivv/7q/n9FDBw4kHfeeYf777+f6667zt1k6LHHHnOPKzUyNmvWrKGgoKBUAHzddddhMpncDXh8ZZCbNm3KSy+9xO9//3v+7//+j48//pjOnTu7v2sOh4Pk5OQKBSvdunXjueee4y9/+Qt///vfefvtt+nSpQu6rnPixAmOHDnCzJkz3V2Pa2IdakLLli2ZP38+Dz30EC+++CJvvfUWV1xxBc2aNSM7O5tffvmF48ePc/XVV3PXXXe5nzdp0iR+/fVXPvzwQ+677z46d+5Mx44dyc7OdpfpfvDBB+6gpHXr1nTp0oXvvvuOO++8ky5duhAWFkZCQgKPPfYYoKYcO336NG+//Tbjx4/niiuuoF27doSHh3PhwgWOHDlCZmYmzzzzDNdccw2A+/v9u9/9jnfeeYfPP/+crl27YrVa2bVrF7feeiuHDh0qs9zYlz/+8Y+cPHmSL7/8krvuuourr76aNm3aYLVa+emnnzh37hxffPGFe6qn2t4OA9G9e3dcLheDBw/muuuuIzw8nD179nD+/HmaNGnCiy++6PX42v7OXnXVVfzzn//kiSee4PHHH+ff//43l19+OQkJCdhsNn788UfOnj3LkCFDSk0DVRnl7ds3btzI7Nmzad68OVdeeSWxsbFkZmayd+9esrKySEpKYsyYMdXwzhs+o1+I51RnnqKjowMa2tC2bVueeuop+vbtS8uWLbHZbHzzzTfMmTOHf/3rX0RERDBhwgS/z4+Li6ux8fkul87SZfmsTDGRlaUTE6MxKjmcu8eEubO+v30AJozXsVp14uN9B72BPKa+C8a+DxUh77/+vf+xY/J5c0EuNhtERGjk5akLWGNGR9KiRXg5z664+vgZ1BQJkOtAkyZNWLlyJW+88QYbN27kiy++IDIykr59+/Lb3/62XnQJbdq0KQsWLODVV1/l0KFD7N+/H5fLhdPpdAfIl1xyCR9++CH//ve/2blzJ5s2baJNmzZMnz6dKVOmVKh7J4DFYuHtt9/m//7v/9i/fz9HjhzB5XLRu3fvcgNkTdP4f//v/3HzzTezbNkyDh06RF5eHk2bNiU5OZmpU6cG3I23pj3yyCOYTCY+++wzPv/8c3eAPWPGDK+djxEgQ+kMcWxsLFdddRUHDx50d7f25dZbb2XVqlUsWLCAb775hg0bNhAREUHPnj0ZN26c36llyjJixAi6dOnCu+++y44dO9i0aRNhYWG0aNGC8ePHl5oqqSbWoSb06tWLtWvXsmjRIrZs2cLBgwex2+00adKEVq1aMXz48FIBiqZp/O1vf+O2227jww8/5Ntvv+Wnn34iJiaGtm3bMmLEiFLdqOfOncu//vUvdu7cyaefforD4aBNmzbuABnUvL0DBgxgyZIl7N27l6+++gqz2UyzZs3o3bs3t9xyS6l16d27N8uXL2fu3Lns2rWLzz77jEsuuYSHH36YyZMnVyq4slgszJ8/n7Vr17Jq1Sq+++47vvvuO+Lj42nfvj2TJk2iWbNmXp9HfdsOzWYzb7zxBvPmzWPDhg2cO3eOuLg4kpOTefjhh312ga7t7+wdd9xB165dWbhwIdu3b2fv3r04nU6aNm1Ku3btGD9+PIMHD66W1ypv3z558mTatm3Lvn37+P7777FarcTHx3P55ZczbNgwkpOTy21kJyqmd+/eXmX+4eHhjBgxgquuuopRo0Yxb9487rnnHq9p/DzZbLYaW7eUVJ1FiwF0wsNVg63X38ghNzeX5BEl58mGnBz1z5/yHmO362RmquxXfQqiExIS6n3Je02S918/3//AATq5uWrMcVaWTlycGt4wcEAuGRl51fpaNfkZ1MfAW9Ors32nEEIIUQ/s3LmTiRMn0rt3bxYuXFjXqyOC0MMPP8yGDRtYuXKlz7nCu3fvTlxcHJs3b670azzwwANs376d1atX+536raZOWu12nekzdTKzNOJii08VMzJUmfRr86ovE+xyqbmT16zVycpWpaPDhqpS7fowPrm+Bki1Rd5//X7/tXFhqbEFyDIGWQghhBCigoyZJnyNM75w4QK5ubk+xydXhHHimJdXvdmgQBhNgCLCvU+4a6IJUOpq+GChjtUK5lDV9fqDhSpoFkKUzWLRaNq0ei5Y+es30NhIgCyEEEIIUUFG9/ht27aVus+4zXhMZTidTnfDNGPatdpkNAHKy/c+Ua7uJkAlp6uJiFA/TSZVOtrYT9SFqA0ul05KqqoamfGQ+pmSquNyNc7tTwJkIYQQQogKuv7667nkkktYs2aN19RXWVlZvP7665jNZkaMGOG+/fz58/zyyy+lGnf56hrudDp56aWXOHbsGH369HFPq1ib3FM0Of1P41QdZLoaIereRyk6776vk5EhVRwgTbqEEEIEoT59+vDDDz/U9WqIIBYaGso//vEPpkyZwvjx4xk6dChRUVFs3LiRU6dOMXv2bNq2bet+/Jw5c1i1ahXPP/88ycnJ7ttHjRpFp06d6NSpEy1atMBms7Fr1y6OHj1Ky5Ytee655+ri7QFqiqbIyEhWfJRDVpbK7A4d4j2NU1UZmWqrVWWPDfn56vVkuhohao7LpbMyReeNBVBYqBrpaSY1V7nVqqo4htWPXqq1SgJkIYQQQohKuO6661iyZAmvvPIK69atw+FwkJSUxGOPPRZwt/PJkyezf/9+tm/fjs1mw2w2065dO2bMmMEDDzxAXFxcDb8L/0wmjXvuDqf/Lbk11gRIZapVtiojQ2WO8/OrP1MthCgtdTUsXKyCY5MGTqfqVg/eVRx+JksJWtLFWgghhBCigarp7rq10cHX6GKtpqtRY5yNTLV0sa578v6D5/17drwGmD5TJ8OqgmCnE0JCwOGA0FCIjYHERNWxvkWLxEbVxVoyyEIIIYQQos6YTBrJI2DYEOrlPMhCNHS+plK7pZ/RqV5lj9PTVZCsoTLKDmfjreKQAFkIIYQQQtQ5NV1NXa+FEMHHmErNZFKl01YrrExRGWOnQ433B7DaisciTxhPtfYbaEgkQK5ngqWEo7rFxcVhs9nqejVEPSHfB+FJvg+l1ceSNRH8PMs3G2PWSYj6qORUaqAa4mVkAEXjjo3x/7GxKmCeMB7GjG68kx1JgCzqREUPoiZT491IRWnyfRCe5PsgRN3yVb45bCj1ZgyxEI1ZWVOpFRaq7XTLVtWQK7EGOtU3RBIgi1olB1EhhBAiuPgq3/xgoQ6oscVCiLpT3lRq48ZqjBsr4/89yWV3UauMg6jVKhORCyGEEA1dyfLNiAj102RSXantdpksRYi6pKZS03C5VCl1Xp766TmVmhr/3zgbcvkiAbKoNXIQFUIIIeonu10nLa3ix+KyyjeNOVSFEHVrxHCYOEEjIUFN45SQoH5v7KXU/kiJtag1gRxEpXulEEIIUXuqOvSpvPJNY75VIUTdqe6p1IK9IZ8EyKLWyEFUCCGEqF+qOn5YlW+q5xidcPPzi8s3AdLS9KA9kRaiIanqVGqNpZeQBMii1pR3EJUDpxBCCFF7ypr+Ze06nWFDAluOKtPUWLtOJytLLWvIHaDrOtNnEtQn0kI0Jo2lIZ8EyKJW+TqISjt5IURNCfYyMCGqIpChTy1alL8cX+Wba9Y1jhNpIYJJWcfMQC6oBctxVgJkUauqewyEEEL40ljKwISoiuoe+mSUbzamE2khgkEgx8zG1EtIuliLOiHt5IUQNUmmlBOifIFM/1IZ0tlaiIYlkGOmcUEtP9/7ufn5EBMTXL2EJEAWQggRVGRKOSECVxPTvzSmE2khGrpAj5k1dUGtPpISayGEEEGlMZWBCVFVNTH0SZpyCtFwVKQXQWPpJSQBshBCiKAiU8oJUXFVnf6lpMZyIi1EQxcbC9FRuC9maUXXr3wdMxtLLyEJkIUQQgQVyV4JUfcay4m0EA2Zy6WzZh3YbHAxAzKsals1h5Z9zKzuC2r1jQTIQgghgo5kr4SoH4L9RFqIhsxozqVpEBerSq1tNjUMqaq9CBoyCZCFEEIEHcleCSGEEP75mo6taVO4eFEFy8OGNN5pEaWLtRBCiKAlU8oJUXV2u05amnSAFyKY+GrOZTJBVBTk5DTu6dgkgywaLLtdl8yQEEIIUUNcLp2ly/JZvkInK1s1vxs2VA1haKyZJSGChTS09C+oA+QDBw4wd+5c9u3bh8PhICkpifvvv58hQ4aU+1xd19m6dStffvkle/fu5fTp0zgcDtq3b8+QIUN44IEHCAsLK/W8Tp06+V3myJEjeeGFF6r0noQ6YKeuhjVr5YAthBBC1JTU1bBocS6gskxWqxqvCGoIg1yoFqLhkoaW/gVtgLxjxw6mTJmCxWJh6NChREVFsXHjRh599FHOnj3L5MmTy3y+3W7nd7/7HRaLhd69e9O3b1/sdjvbtm3j//7v//j8889ZuHAhEZ6XXIq0adOGkSNHlrr9yiuvrLb3Fywqc3A1GgqYTL4P2EKIxk1O2oWoOvf4xBCNuKJMUkSEmgpmzVodp0Pn0w3IhWohGjBpaOlbUAbIDoeDp556Ck3TWLx4sTswnTlzJqNHj2bOnDkMGjSINm3a+F2GyWTikUce4d577yUuLs59e2FhIQ899BCbNm1i8eLFTJkypdRz27Rpw0MPPVT9byyIVDYL7KuhgHHAXrtOZ9gQOSEWorGS6hIhqo8xPjEiXAOKxx6Hh8O5c7BwMYSGyoVqIRoyaWjpW1A26dqxYwfHjx9n2LBhXlnbmJgYpk+fTmFhIatWrSpzGWazmRkzZngFx8bt06ZNA2D37t3Vv/KNhJEFtlrVXGvGwTV1ddnP89VQANTvWVmNu6GAEA1ZdTQBqux+RQhRmjE+MS/fe5vMy4P8AggJVReqIyLUT5NJXaiWRl5CNDz+GlqWPDY3loZ9QZlB3rVrFwB9+/YtdZ9xW1WC29BQ9bGFhIT4vD8zM5Nly5aRkZFBXFwcPXr0KHNscmNTlSywNBQQIrhUV9ZXqkuEqF7G+MRFi/Ean+hwQlgYRJRxoVrmPRaiYSt5bI6Ps9GqlYsTJyA7J/grtIIyQD569CgA7du3L3Vfs2bNiIyM5NixY5Ve/sqVKwG48cYbfd5/5MgRnn76aa/bbrrpJl588UWaNGlS6ddtCAIZ+xdIFtjfwVUaCggRXKqrp0BV9ivVQcY9i2A0YjhERkay4qMc9/jEQQPh0w1gs8qFaiGCVclj86lTLo78oKaASkwI/mEVQRkgZ2dnA6qk2pfo6GiysrIqtewtW7awbNkyLrvsMsaMGVPq/smTJzNw4EA6dOiA2Wzmp59+Yv78+WzdupVp06axbNkyv5lngLi4OEymhlf57nLpLFtRwMqUfDIzdSIjNUYnh3HvPeGlrixFRenEx9nIsLqIiSl+r3a7i8REE+3bx/k8wUwoSgs9MEknMrKAlFXqtZo21UgeGc7dY8KC8iqW8M34PoiGy27X+XS9jVCziyaJal8QEwPp6S7WbzAxYbzvfYEv7dsnVGq/UlWe+76sLJ2YGI1RybI/EsHBZNK45+5w+t+S63UBKDRUlwvVQgSpkhVZug72Qh1Ng8LCogqSIK/QCsoAuaYcOHCARx99lJiYGF5++WUsFkupx8yePdvr9+7du/PGG28wadIkdu3axRdffMHAgQP9vobNZqv29a4NKanqYFlQoMYmOZ3w//6Vy87duTzzlFbqRPGOwerxFy44vQ6ugwe5yMmxkpPjvfyEhAQyMjLcvw8eCP1vMTI2OhZLHhcu5JaZwZEMT/Ao+X0QDVNamo7VpmMxg8PhdN9usYDV6uTYsQyaNi1/W01ISCAnx1pqv5KXD04H3H6b0+d+pToY+z7jKnt6Orz+Rg5ZmTnceosW8P6muvdPcgFJVCc1PrH4d+l8K0TwysxUlVdmswqOnU71z6Spc3WXC/cxL1iHVQRlgBwdHQ3gN0ucnZ1dqvlWeQ4ePMhvf/tbTCYTb731FldccUXAzzWZTIwZM4Zdu3axd+/eMgPkhsi40lRQoJp3oEFoiBqntGUrfJSiM2J4cXc8gL436DgdsH4jlT64Ggdsl0snJVX3O4ZROtsKUT9Vd08B46R9zTqdc2fVxbqwMFi3HkJC9Wrf5v2Nez59Gl5fAMs+0omNKXt/I/sn0RBJ51shgpPLpfPlZp2LGSpbbDZDXCyEhIDdCWaTCo4huIdVBGWA3KFDBwCOHTtGly5dvO67cOECubm5dOvWLeDlHTx4kMmTJ+NyuXjnnXcq9FyDcTU/Nze3ws+t74wrTfkFgKY2IoAQwOGAJUvh0/U62TkqmwNgCoHYGBg8CG65GeLjK1+WVd4YRpk3WYj6KdCeAoFmV42TdodDZ+FitY+JiACbrWa2eV/jnq1WyM1Vk+KYTOXvb2T/JBqykpllIUTDlrpanbebzSpALixUlVGhRdlksxlVLRrkwyoa3mDXAPTq1QuAbdu2lbrPuM14THmM4NjpdPLWW29x9dVXV2qdvv32WwDatm1bqefXZ7Gx6iTUKL8wuFygaXAxQ41TyM+HtDRIS4eCfHUiuGQpbNte+Y2rZAan5HQT2dmuUvfHx6uT1zVrg79NvRD13YjhMHGCRkKCuqCWkKB+HzG8uDpk+kydGQ+pnympOi6X/+3WbtdZv0HNzxobq4LOklPQVNc0FUYGPD9f/a7rYLWp/YvZDFGRZU9/U97+S/ZPQgghaovnMal1K1U2bTarY5oG9LtZ3V7yWB2MgjKDfP3113PJJZewZs0aJk6c6J4LOSsri9dffx2z2cyIESPcjz9//jxZWVk0b97cq7HXd999x+TJk3E4HLz11lt07969zNf94YcfuPTSSzGbzV637927l7feeguz2czgwYOr743WExaLxh2DdV57Awod6sTU5VIni4D75O/4CZU51nXIzYN2TVVmpyoD/D0zOL7GRZw+7Z3hsVrVCazDAZk2+HC5zn33SimjEHWlrFLNkuN7A8muWq06Z8+p4R5Wq9ofxMep52dmqm1+8xaqpZy5ZAbcuOIOEBdXXIbmb5xWXXfeFkIIIQyexyRNg4R4VV6dkwsaGo88pI7RjWFYRVAGyKGhofzjH/9gypQpjB8/nqFDhxIVFcXGjRs5deoUs2fP9srkzpkzh1WrVvH888+TnJwMgNVqZfLkyWRmZnLTTTexfft2tm/f7vU6MTEx3H///e7f3333XTZv3kzPnj1p1aoVoaGh/PTTT3z99ddomsbTTz9Nu3btauUzqC3G+LmNn6vGOvn5KvgMCVFj//LzVVdad/Cqge4xyL+qJ4KxsRAdBWfOqhNTp0MF4WYztGkNrVsXj3EsKFBlImiArtZjZQpERyOljELUsZKlmmXNa/zJGp3r+ug0baIOzufPu9B1HYtFY/NWyMlRF+JCQ1RlS3q6em5EJKxcBSHVWM7s2awoM1Pte8xmFZQb/I3TknndRbCT5phCNBy+jkkmEzgKoWlTE7GxrkYzrCIoA2SA6667jiVLlvDKK6+wbt06HA4HSUlJPPbYYwwZMqTc52dnZ7s7Sn/11Vd89dVXpR7Tpk0brwD5tttuIzMzkyNHjrB9+3YKCwtp2rQpQ4cOZdKkSZUau1zfeY6fa95MlVPn5UFkJLRorjLEoAJmk0mdrOp60ThlLfATQaMksuRB1mLRuOQSnZ9+Vle7dB1wgt2ulh8ZqTI87y/UsVqLnlRUK5KYqP4frC3qhWjIfGVXdV1dCDt6FGY9DGpjBrPFRlSkzh2DdD5drw7submqUaDJBC5dXQEPj1DBccmAu7x9QFkn+SUz4F9u1lmyVJ1glDf9jczrLoKVNJ8TouEp65iUPDIciyWvrlex1mi6rssgp3qkIU1dY7erMYFWa/EJJ6ggOTYGXn0FNn6uuQPoQoc6adR1FcwaWebfTYFRI30PhzcOsp+uN2G1OYsOspr7IGu360ybqXP8uMoQGzRNnRjPmgGjkjUWLdF5572irFKoKn+MjyvOeM+fqwU0nYyoH2Sap+Dna/+SYVV9DEwmVfmRmQnokJCgERKi43AUB8XZ2WrbBvV7ZARERRXP32jIy/O/D/B9kq+VeZJvPMeY/iYmprhDf1ldrAN9fKBkmqfGo6b3hZXZ35YcHmGcZE+coJE8ouEdaxv7MUfef+N5//6OSQ9MSsBms9bIa9bH41XQZpBFzfM3fi4iXJ105udrXuWHZ86q+02+Y2GfjAx1qNmFxVy6JNLooO1yqcA3xARooLvUifKadXDXcBg3VuPLTeqKWGJi42hRL0RDVvJKdlgYXLwI6JCYALbM4u04J1endaui4RpZqlIlpGiohV40nCMiUm3nNlvg5cyV6TBd0elvZLocEWzKGh7hWa0h5ddC1D/+jkmNrfIjKLtYi9pRsoOrwRh3HBtrbGgaL8+Bpk3Uv8svg44d4NKOqsvruk/x2a3V8yDbJNHks8NrbKzKDDmdamgxRduvq6iMOzcX0tLVQXjIHSqzbLOpAD4jQ0oZhajPPDtc2+1q846LL+pr4CweVlFQoJoAWm3FwzjAe5+gaTBksNrmMzLK3wdUtcO0GqcV+L6loo8Xor4qr/mc1Vrx7vRCiNrV2I9JkkEWlVaR8XP5+Rp5+ToREepENbTom1dWk65AOrwmJkK7dvDfX4umlSo6aTZpEBYOThc8+ReVYYqOhm7d4ORJVX6ZkFBcyiiEqH88r2Snp+s8+ZS6wGUyqWZ8hYVquwe13TsdKjgOD1c/XS51oSwmRv3sdzOEhGru0rGy9gHSYVqIyimv+dyWrbB4qcz9LYSovyRAFlXiWUJd1glnZbq1ej7HY/Ytr+ekroaDB1X5ZUGBOinWdTCHqZ85OUDRCbPNChkXYfw9cOstmpR1CdFAWCwarVpp3DlMjWs0yqSNvgMhIUUXyEygudSY4g7tixsCWq2qL0J8vMawIXB9H9Xeq2kT/1fHpcO0EIq/Jpn+lHXxfNBA+HQD5ZZfCyFEXZIAWVRJoOPnjAPm+wt10tJVWXRBQdklzp4H2fR0l3saKeM5oJrnhIRA+3aqgY+taI5jXVedtFUDH7U84yC8fqMalywHYSEaFs8LchkZ6iTbaMhnMqmA1uFQ45AzMlRTLqNHwZA7VE+C0l11dZ9jq3yNgc4tauApwzJEY1DcJNOG1aZXqBO1v4vnfW/QWbFSKjOEqE989QMwbgsP18nP14iKalxDICRAFtWivHnRXC4dXdcJMaku15k2SEiECfdRZomzcZBdv8GE1er0ylBfvOhdAql5HK+dTsjPg/h47+XJQViIhsvzglxaus6Tf1EXxTRNw2rTsWWqYDgqSu1fcnOKT8x13burbkYGvPu+6nw9drTvk/0Rw9XFtsVLcDcZTEwAXdfVvO6NrGmJaFzKa5JZFn8Xz+12iInWpTJDiHrA10wNQ4eoQHjNWjh3XiWzwsJ02rS2ccdgvdFM1SYBsghYVTpOpq6GhYtUlqdVy6I5Sh2qBNrhAIvF9/OMg+yE8XEcO5bh9dqxsbq7BDK/ANLTVZBs/MvNU2WUkZHFy5ODsBANn8Wi0bqVxvA7dd5YoJOXp6sLZLra5l0u1ZCrf9FQCoDpM9X+Jz5eNfPKzFJjmN9YABouRiX77tL57QFISy8u187LU/syTUPGS4qgVbJJpsPhrFQpdMmL5zL3txD1h6+ZGt58S92naepcHcBRCKdOuRpVrwDpYi3K5XJVrOOkMV7J6PJashtsZKRq0mWzwTvvwe9mlN/B0lc3PXWg1XA6i6d/AdW0tkmiKuPOy1P3SddqIRq+kvuWIYN1oiKLS6xDzaoyJDICNmwsvpjn2XDLalMX05xO1cyvsBAWLlYnCiV9lKKzZav6v7nocnJenrqiHkgnayEaqkCa1FWWZ3d6h0OdF0ycIA0zhahNvmZqiI9XF6zy89Wx0WRS0yVqJrAX6mgBzuIQDCSDLMq1MkVn4WIICVVzHPsrs/JVqjFsKPS9Qfc60Fqt6gQVVFYmI6NiHSw9M9kjhquO1O++B7qmMjzxcWojDwtTG3dsrDqpla7VQjRM/vctar/Uto1GSIjuDpTz8ryHUhgNtzIyVOZYK9pXOJ0q8A0JLZ0VUycPxZljzQQhFA3fKFDLlqEaIlgF0iSzsmTubyHqnq+LYE6n+qnrRdOnFm2WJk39bjE3nmGKEiALv1wunY9SdN5YoK4kmc1qI0lI8F1m5atU44OFaoyfcaA1MjgUlUOGhqqpmmw232VbRjAcFaX7OUnWGDsaNm1W65SYWLxB5+dDy5bw8hw1zVRdHoSrUp4uRDALZNvwt29xFu1bMrMgzuOEveRJvFHW+e77uroqXnSwR1cX1MLCSh/0MzPVMI2QkOJ5lUE91+FUlTAyVEMEq/KaZFbHcay83iVCiJrja6aGkBD10/MiMoCr6HzdXqj6cDSGY58EyMKv1NWq9NDzhNLI/JZsdlWyVAOKu0Zv2Ah3DILFSyH9oiqpQiWMiYvDfdLrubySwXB8nI1WrXQOHMDn3Il3DlP/N4JwzwN5dLRGdHSdfIR+M1+NpcmBEP4Eum2UtW9ZvxEGD4IPl1HueMYRw9W+x33BL7S42iQjo3RWLDZWTQ2Vna0y0g6H2vcYV9VlOhoR7MpqkimEaNj89QPwbHxbWFg0hSJgMWvoLp1BA43KDz2oj4ESIAufjJPS0BCVOXY6i68mWW3q5NHzKlJ545X63QwhoRpr1urYrKocOjFRnaBC6YxPyYxR+kUnP/yoxha2aqU22LCw4szzq6+A55QS8fFwSz81RlFt2nXDX+arsTQ5EMKfQLeN8vYtt9wMsbGRrPgop8y52E0mjbGjNTRc7iEjYWH+exO4p6b7QKWPCwqKg+N+N8Oo5OA9MRACym6SaZDqKCEaLl/TsY2/V923dh2cO6eGFIWHQevWGq1a6Xy6AVasrNi0bw2RBMjCJ+OkNCJCjb1LT1cZFA11Rcnp8D6h9FWqAcWBb3y8OmF1OmDRUnVSmpGhOuOFhqoSRmN5nhkjo+OszaZOYrNz4NejgK5OcCMj1LpmZ2skj9AYMlhn+Ufw5Sb4ZC1s3gLDhtZNW/qyMl8V6QIqRLCpyLbhHj9sVRfrQkJUkOq5b7nn7nD635Ib0In6qGTNPea4rIAa1AW27Gw1hCM7W5VVDx0Co/10vBYiGBlNMj1JdZQQDV9Z/QDuHOo9D/LOXeEseDu30SR8JEAWPnkGvMZcwjZb8VjkCeO95y8OZOqGlFSdxUshxKRKq7OywFZUUj3h3uITVF8dZz3nODZKHXGq55stxZnndes1UlapTnsWszqprqsNOJAuoDL+SjQmRrapsFAPeNsIDYW2beGX/6p9QUiIupodFuZ9kS7Q8YyBNAgqPvlX23B0FNw5DMaOhvBwmfxBeDtw4ABz585l3759OBwOkpKSuP/++xkyZEjAy7Db7bz55pusXr2aM2fOEBcXx6233sojjzxCkyZNanDtK0eqo4QIHr6On8W3aVgsOqmrCxpVwkcCZOGTZ8BrjOvVY1RzmgnjYczo0ieJvko1jMyMr4xRs6ZqTHJ8nDpZNa46++o4GxpaNHa5iMuFe95Tg92u88lanYIC1UjA5VKBtMUMa+pgAy4vq94YmhyI+qWuyiFLZpuio1Q1iaOw/G0jdTV8+616nFHmnJsHvXoVX6Qzpn+qyPsqK6AuefJvs0HKKoiODvzkX0pPG4cdO3YwZcoULBYLQ4cOJSoqio0bN/Loo49y9uxZJk+eXO4yXC4XM2bMYNu2bVxzzTUMHDiQY8eOsWLFCr755huWL19OYmJiLbybwEh1lBCNS2YmZGXpjSrhIwGy8MsIeD9Zo0704uPhzmH+G3SUlZnJzCydMdI0iIpUpYueG5evjrNGcGwyqcAXVCYpKlb9NOZkPHdOTWyumYobi+UWwrmztb8BB5JVF6I21HU5pBFwGpUdVpvaTgE0H9sGQFqaTni4mmopJATatFb3OxwqYD1xQp2or1sPn663YbVVz5ioqp781/VnLWqPw+HgqaeeQtM0Fi9ezJVXXgnAzJkzGT16NHPmzGHQoEG0adOmzOWsWrWKbdu2MWzYMF566SW0opKppUuX8swzz/Dvf/+bv//97zX2Pip6MUeqo4RoXGJjISZGIz298SR8pFZMVDtjvJLnfKKFhTrRUWpj8pSfr+ZYLLlxjRiuMtVmc1F7+RCVRTaZ1MmyxQLtLlGdaGOLnh8errLHOh7zloao3/ML1P3lMTJR1TUJ+ojhMHGCRkKCOrFPSFC/SxdQUZuMANVqVduMUQ6ZurrmX9uzsiMzE85fUD81DaKi1HALY9u4d5y6Sj3tQZ0ZD+k8+BCcPafKqXVdDak4fUYF2L/+Ck89o5poZVhd1fa+Ajn5L0tdftaidu3YsYPjx48zbNgwd3AMEBMTw/Tp0yksLGTVqlXlLmfFihUA/OEPf3AHxwDjxo3jkksu4ZNPPiG/5MGzGrhcOimpOtNnqu1t+kz1u8tV9vHPqI4yursbF639Hc+FEA2bxaIxKjkcl0tdLM7L89/gMlhUOoM8b948Ro8eTcuWLatzfUQ94qvMsCJjjEpmUpwOyCnKGpWXTS3ZcdZc1LzLZgWKMs+Zmd7Pz8yEsDCVdS4s9M42h4epuZD9TfdUU1mfQMY7ClGT6rocMjPTd2WHo1D1I3juZXUBbPNWNV1TWrradmNi1Hack6MeH5EHFzPUMl0ucAHf7FDB82UtNJxOvVLvq2T2rCpDI+r6sw429f08Y9euXQD07du31H3Gbbt37y5zGQUFBXz77bd07NixVKZZ0zRuuOEGli1bxnfffce1115bTWuuVHYcsVdfgIvqQnRYGIRZgvdkWYjG7u4xYeTm5gbU4DIYVDqDPG/ePG677TamT5/OF198gcuIROqZAwcOMHXqVK699lquueYaxo4dy7p16yq0DLvdzrx58xg4cCBdu3alb9++PPXUU6QbkwL7sHr1akaPHs0111xDr169mDZtGocOHarq26k1JU/0IiLUT5NJnej5yrCWzL6WzKToxlM072zqkMH+s7ajkjXun6TRJNFEeDg0baZKt8LDS2djY2PVuObQ0OJSTF1XWejmzcs+sa3prE/JrLoQtaWqGdGqKq+yIzYGtm3XWLxEBcDGFmKzqe3Q6VRBclp6UWDsMcQC1Ljk9Iu6x+sF9r78Zc9CQ2HYUK1SV8rr+rMONvX9POPo0aMAtG/fvtR9zZo1IzIykmPHjpW5jOPHj+NyuejQoYPP+43bjdeqLpU5xhtSV8OBA2oWCWP6x7w8uPpqgvZkWYjGTiV8NF6bpzF/rvqZPCJ4Z3SodAb5kUce4aOPPmLz5s1s2bKFpk2bMmrUKEaPHk3btm2rcx0rra6aZ7z22mv8+9//pk2bNowbN46cnBzWrl3LuHHjeO+99+jZs2dNveVqU5ExRr6yr3cMUmMDS2ZStAyIi4XnnlXzKK9bDw8+BFnZvscP+pqH0Vg/z2ysy6WzZh2cOw92u3qMUalmt8Mll/jP3EjWRwSzum4Wl5+vuSs7jA70npUdmVlq3wEqONZC1IUtz2C4JJOp+EKYroPVqhMbo24P9H2VlT0rq+FgWer6sw429f08Izs7G1Al1b5ER0eTlZVV5jKM+6P9lDcZtxuvVV0qO47Y83jZurXa/pxOtR2fOqW2cYulWldVCFGLyutJEOiMEQ1dpQPk6dOnM336dLZv386KFSv4/PPPef3113nzzTe5/vrrGTt2LLfddhuhoXXTB6yummccPXqUefPm0aFDBz766CP3gfPee+9l7NixPPXUU6xZswaTqX4P/67IiZ6vE82Fi1XH6/g47+WGh6tskMWssW594OVdJedhLLlxpq6G9xfq5OerwFjX1b/QUIgIh5On1EbvOS7a2AFIwxERzOq6WVxsLLRorl6vsKi7fGioquxo0UIFxZlZYAlTAa690KPaxA/jfmNbdxSq4RuOwsDeV/kXxdSV8YoOjajrzzrY1PfzjPoiLi6uwucUUVE68XE2MqwuYmKKn2u3u0hMNNG+fZzX9zWhaEM5f95Fbq6NqCgIDVX3m83qInVODmhaHAkJ9fv8prKMz6Cxkvcf3O/f5dJZtqKAlSn5ZGXpxMSoccd3jwlzJ62C/TPwVOWjyg033MANN9xARkYGqampfPTRR3z99dds376dxMRERo4cyejRo/2WD9UUo3lGcnKyz+YZjz/+OKtWrWLWrFllLqes5hlvv/02n3zyCU8++SThRdFVSkoKDoeDGTNmeF1VvvLKKxk2bBgpKSns2bOHXr16VefbDUhFOlUGeqLn70TzYoY6Yc3L8x1gG91pNU2NNTSZfGdtjXWOivJ/xmysg4ZanjlUlXE6HKr8Kz4esosC3cTE0tnuwYMgOhpsVsn6iOBU2YxodbBYNO4cpvYlEeFq3vJCuwpshw6BbV+r7d6o/PAVHJtMxRe9jMc4HGo8szmsKFB2Bfa+7Hado0fV51DeRTE1JtnYb+oBBbh1+VkHq/p6nmFkd/1libOzs4mLi/N5n8E4T/CXITZu95dhBrDZbOWuqy93DNb5YKHOhQtOr2P84EEucnKs5OSoxyUkJJCRoRoA6LpOZKQajuSZKc7OVsfKgoIMMjKCL0D2/AwaI3n/wfv+jfPsTZt1Fi/FnbRKT4fX38ghNzeX5BFajX4G9THwrrbLrgkJCTzwwAM88MAD7N27lyVLlrBmzRrefvtt3n77bXr37s19993H7bffXl0vWaa6ap5hvO6NN97o83VTUlLYtWtXrQbIlW1A5Xmil5mpAtlhQ7zHGPnLvkaEg71AZZF9Bdi5uTpnz6kA2moFU4jqZhsWpk5QrVadbduL1zk+zsYdg3Wf62ysQ0SE+ul0QgjFpZy5uepkNzbWd7Z7yVLo1g0yLvpeV8n6iIaurpvFlQwaExPVtqXr6oBsMasA2V/m2Jj33LM822RSJdphYTD1t5H06Z1X5vvy3A9mZqlt3WL2f1GssvvNuv6sg1l9O88wAvJjx47RpUsXr/suXLhAbm4u3bp1K3MZl1xyCSaTye8YY+P2mgj+K3Mxp+TF87AwyLCqY3mBHR5+FIYN9X2sFkLUH/6Oia1bq/tLJq0am2qvSzp+/DibNm1ix44d7ttatmzJzp072bVrF1dddRVz586lVatW1f3SXmq7eYYRIB89epTIyEiaNWtW6vHGupT3utWtop0qPTPNI4arTM2atSoj/OkGCAmFEcN1TKayO762aAmDB8KGjZQ6+K5MUaXWul7c5MOYX61Na9XRdsnS4nXOsLr4YKGOwwH9b/E+6fRch/g4tRynU2WUtKIL2cbcqv7KKk+ehPH3wHof6ypEsKirsUO+gkaA6TNVoNuyJfz3V7XdliUiAtDVT7NZLWfoEI177wnnwoU8r0xvyYoZYxiGRvHzs3Pg9Gm1vZe8KJaSqleqw6+hsYzTqgv15TyjV69evPHGG2zbto2hQ4d63bdt2zb3Y8oSHh5Ot27d2L9/P6dOnfK6GK/rOtu3bycyMrJUAF4dKnsxxzOwPntWBceREer4W9HtRAhRNzxjg1CzGgLlKCw6l45Xj/GsqmrRoi7XtvZVS4BcWFjIxo0bWb58Obt27ULXdeLj43nggQe4++676dChA/v27eP1119ny5Yt/P3vf+e1116rjpf2q66aZ2RnZ5dq2lXy8WW9bmXGEpXFbtf5dL2NULOLJolquTExkJ7uYv0GExPGF48z8jX+oH37EPbssRMSqhERrpGZpbNoMURGRnLP3SptPHZMPm8uyMVmg4gIjdw8HacLRo2I4L7xETwwScdq1YmP19wnrhs/txEV6SI3T0fX1Umyw6FOUocPi2D1mgI0k4smTUyYTCrTdPKkzpsL4KMUjahIjdHJYdx7T7iaEqpoHdBUJtqWqaMDzZpoTPltJHePCSMtTS81dgpU+XZuLoy4K477J2le6yrqr/pYkiPKZxxkPccyquywyx0ga5q6cOZwFD8vNgZattQYPCiccWPDyM/XiI/XCA2laL9l8tpvHT3qIDsbYmI0ht9pYfHSfGw2tezsHIiP09C0ouZhThPx8RqjRqp9isNBQPtNu12X/UUtqY/nGddffz2XXHIJa9asYeLEie7hXFlZWbz++uuYzWZGjBjhfvz58+fJysqiefPmXucmY8eOZf/+/cyZM8er18mHH37IiRMnuPvuu93DuGpCRS/mGIH1wAFqrnJLmGq6CdLgUoiGoOTwSJdLXTQuLASrTZ1Ha1rjHmpYpQD5l19+Yfny5Xz88cfYbDZ0Xad79+6MGzeOO+64A4vHAJXu3bvzxhtvMHbs2HJLmxuzyo4l8ictTcdq07GYweEoTs9YLGC1Ojl2LMPd/KpkxiQtHX78yVmU1dUBHYtFHfxWfJRD/1tysVg0Bg5QAeaadTrnzurkF6iyq49Scimw5zFiOJjNGjk5RdO1FK1TfLw6mFptauMMCVG/nzqdxy//VdnlzEwXcXFg0jSyizLO58+7cLng//0rl527c3nmKY2BA1QptVEqdmlHuKUfjB2tEx6eh82W53fsVE6O2gHoupWcHA2zGfe6ivopmMcDNRae22NcnLpIZpRQ63pxSbWmwZTJ6rZNm3WWf5THp+vzGDZUVXikroZFiwF0wsNVNciRH5xERamT9vR0eGVeHvn5Ra9RNM1cWppOTKxqEhYa4iIzC1auUvusvjfoWG343W/++utFtm3XSpRfa/WqrDRYLiDV5/OM0NBQ/vGPfzBlyhTGjx/vNVvGqVOnmD17tle37Tlz5rBq1Sqef/55kpOT3bePHDmSdevWsWbNGk6ePEmvXr04fvw4GzdupG3btjzyyCM1/l4qIz9fIy9f9RbwJA0uhajfSg6PNJnUcTgtTQXJOTnFTTUb61DDSgfI99xzD/v370fXdaKjo7nnnnsYN24cSUlJZT7v8ssv5+DBg5V92YDVVfOMsjLT5WW1a0Kg3ah9Ndsym9XJZUGB2kiMxHbJg59xNdnh0Fm4WGV6IiLUPKa+Sq081ykhQW2UxjQRmgbrNxSPRXQ61QZrMunuJj2eZdlbtsJHKTpjR5t8looZczOHh+vk52sMHqTGHF8sGmthL1Sl2I11ByBEVQXa/K/k4zzHMtpsqkTTVlgcGDud6v/9bobISFi4iFLlzk6HGvZhCtGIi1X7hgK78XrqQp1xsc8IujWT6lHgdOLOKIeFFV2sK1quw1H2frPkEBApK60Z9f08A+C6665jyZIlvPLKK6xbtw6Hw0FSUhKPPfYYQ4YENnDPZDLx2muv8eabb/Lxxx/z3nvvER8fz+jRo3nkkUf8VqXVNZnWTIiGyde2Gx+nEk1GYNzYhxpWOkDet28fnTt35p577mHYsGFEeO4dyzBmzJhaaVBVV80zjDKvCxculBqHbIw99jUuuqYE2o3aV7OtkJDiQNQzQPZ18LPbddZvUB2ky5tLuKx1KihQ/zfmQTW613qWWrqc3vetXafGRBsn3U2bqnLxlFSdT9bonDuvlhsWptOiOSQ2gaNH1fsKDYUbb4Dhw9TJrRAiMIE2sXK5dD5KUV3rc/PUBTTjcSUbAZqLkoEmE0RFqgtedw5Tc6X76h2wZp3qjRARroZhXLxY3A3bblePiY0tCow1j+7XpuJ5lqOiVNMwz+Vu2Ah3DILFS0s37hs8sCgol3nTa1x9P88wdOvWjbfeeqvcx73wwgu88MILPu+zWCzMmjWr3Jk16hOZ1kyIhsnfthseBpPvh/63aI2+wWSlA+SPPvqoUk0junfvTvfu3Sv7sgGrq+YZvXr1Yt++fXz99ddeY488X7d3795VeWsVFkinSl9XkzRNbSy5eSqAjojwf/Cr6FzCvtapaVPY/o068QwNAQfFHWu9FJ3oOp0qgM/NLb18o/lAfoG6H1TzgeMF6sQ5KhJim6rpZg4cgNVrJPMjREUE0vzP5dJ55lmdLVtx9xrIzIT33jce57t5l2emOS1NJytblU97bvfh4WrbjoyA3DydnFzVTddThrX4wp7JpALhzEzvrtgJ8d7PMfZZ/W6GkNDS+82+N+gsXynzpteG+n6eIWRaMyEaqrK23UCHClVk+tiGptIBck10VKxOddU8Izk5mXfeeYfXXnuN2267zb2sw4cPs2bNGi677DJ69uxZC59AsUA6Vfq7mhQWBr16walTZXd3rmipVcl1Cg/XmfV7deILQIkpXTx5TgWj62oO45LZ7DVrdTRNlYqYTMWZcLtdnRgXOlSQbIqWzI8QFeVv/vOS29KyFTqbtxRXfDgcxc34Fi3RGTJYJzzcVKpJkOf/Y2PVNn72jBoSYSzLYoZWrVVGd+mHugqO9eL9hsmkfr9YNBWNpqkakebNVGCt66qCxG5XWWSDsc+Kj1cBfOlhGxATrUtZaS2o7+cZQqY1E6Khqsq2W9lpEBuSap/mqb6oq+YZHTt2ZNasWfz73//mrrvuYuDAgeTk5LB27VoAnn322WrtUl0R5XWqLOtqksNR9gZU1VKrzCxVKhkTrf5fWOh/TlSDUTJ56y34zGabLaocu+iahvvxnuWVRvZLMj9CBK68ihGrVWfLVp0Fbxdf5PK82OVyqd4Cyz+Cifd5L8PXWOVL2ur8/HNR1leDwqKLXW3bwOhkDU0LZ/5reeiaGuZhsaj7HQ71nPH3qCB73adq/Zo2LZ6HeeGisuc/L7nflLJS0dgYvTzKOoGWac2EaJgqs+1WdPrYhihoA2Sou+YZM2bMoE2bNrz//vssXboUs9nMtddey+9//3uuuuqq6n6b1aasq0kWS/nBoxFIr12nMjRllVqVvPoUFQlOh8roJCaqk2dPRnDrvb7QpAmMHe19u5HNzsgAU0jx3KpGkx4jSC5rTLUQwr/yKka2bIWFi717BxiMbVDTYPMWGDdW9Q/wd0V6yGCdEydUltdoHmI2qSaCJ07AuXM6944LZ92neWRkqP2H8RrpF6FJItxztwpc7xzqHXwbpdYVLQ+VslLRGBjb5KfrbVhtelBmiYQQFRNoBVlDp+l6eXk6UZsa6tQ1Xie3WWpjuXMojErWfB5IS04plZ+vMsigxj0bUz8ZHas1rfhkOyRE3R4XBw9MUmWQ/pbvOQZZQ02GbpRUJiYUZ34mTvC9HFE/yTRPdc/XNuxywb33qE70GVZ1oc1u910NkhCv9hPz52o0bar5XV7ySPhkrcoMh4UVV36kpUN2FiQkQpPEEFq1cnLgAKWeH8i2XdlxVHa7Tnq6mnO9aZP6lT0OlmmeRPlqal9obJOhZg2LWW/Ux8vGfsyR99+43z8UfwZpaTozHtIxh3pfIM/LU+fpxjG9osuub4I6g9xY1dagec/XWbPOu9wiO1t1gA0JpVS5hb+rT7qupmCJjVEn1piKy6NDQooDZl1X2aOJ41V2KS2t9Hs1Mjxr1uqcOwf5BSrwbtEC2rZVc6VmZ0vmR4jK8pdF7XuDzoqVEBGuyqHT0sBZIkCOiVHbcEyM2nbLuiK9aTNER6kpmSIiVABstYLNqipEwiyQYXVx/jxcfXX5/RJ88VViVt5+1OXSWbMO1qylKOOtS3ZNBA3PbbJJogmHwxmUWSIhRMU0lundJEAOIrU1aN5XeXRmZtnTnkBx2ba/8YsREerq0/P/UNOsrExVJZW5uUVdZ1HzoZotcN+9qsPsgw+pDrcl36uvJmD5+ZpHo53g7bwnRG3wNyTDs4mVsT9Iv1hcARIfrxpsGWN2AY4eVUG2rzHNOTlq205ZpfYpYWEqe4ymyqkjIyE01MSFC05OnYKX5xTNqY4aglGRfZ/drmO16mzeqrLgZe1HG8MYLNF4VXRmCiFE49BY+nBIgBxEauuEreTrZGSocsq4OO/HhYerE9UPl6tOtkbp9R2DVcMca4bKIhnjgfPz1cnztq9hy1fFXactRXOjhlmgRUsYVtRcJ5D3WpwZ0oiO9nW7f3a7Tlq6XnSiHTwbvRCeqnqxKJAmVvHxkJujtvvQUJU5HnKHmi5v+ky1n8jIUIGzryvSY0dDdLTKVlutqrIkNgbiPfY5xv5mxUewaYsq94qJ8Z/V9XzfoaG4L/qdPaeC8ogIVQbua9/SWMZgicbLM0sUFaW75w8PtiyREKLiGkMfDgmQg0RtnbD5ep2wMLBlqgC4WdPisuj8fECDlSkq0M0vUEHva2+oK88XM1RmKSRELSPMosqfFy9VB+L4OMizgMMJv30ggr435LsPytNnlp2x9nyvFQ0AXC6dVR/rLF6i1hEgMUFn/L06I+/yPaZaiIamJitOSh48myTCxPs0hgzWyc7WfA7LMJshOwdOn1bbtecV6fDw4mx1WrrOk39RGSzNYzXz8yEvH979QP0eEqKGUfiam7nk+27bVs2HrplUYK3r6mdkpFqXkvsWya6JYGexaAwdovPmW3Axw+VurBcWBuPvlQtAQjRmjWF6NwmQg0RtnbD5eh2TSZ1k2jJVwBsVqU5WnS4IMangOC8P0CA0RM1BfP68ygzrugqa8/Lg2p5w4qTvwHfdp3aGDFYbYFqaHtB7rWwAkLoa3nwL8nLVCTO6Kul88y11giDlkyIY1GTFif+Dp0Z4uO8Lba3D4XTRXMeFhb6vSFssGq1baQy/U/fKUBcUOMnKVvsRk0ntZ1xFQS54B7e+KmB++S9ERkCzZur3EJN6vs0GcbGl9y2NZQyWEEII4U8wT+9WNxPyimpnnLDl53vfnp9f3AinIox5D+127+46nq/jcqlxhS6XKlFs2lRlihwOdZI4amRRSVYBoKmMDh7TNWlAh/bQsYMaS3jihOpK6yvwzcxUWeCKvFfjRNhqVR1wjQAgdXXZ7/uTNToFBaoBUGio6nytaVBQAJ+sKf2ZCNHQlAxQIyLUT5NJBZPV9R1XB8/SwxN8XWjTNNVZPjEBnvs7vDZPdcr1dTFrxHDVSTc+XgWxVpvaPosXVry/yS9Qr6c6apd+37Gxah+WkwunTqv9V6Gj+OKd06lKrqOiivctqoxcTROVkaEC8YyM4BuDJRoXz+O+3a6zdp264H3FFSF0aA+XdlS/r/sUOQ4KIYKaZJCDRHUNmi8v6+pddoVX2dXvpsCdQzV3xgjg8y90zl9QGZ3Sr1UcXEeEq2ZcERGqLLJkVqZpU43YWD3g91rZknPjRFrXVRbJYDKp5Rv3B+sVM9E41HWJcHkZ2A4dyt5nGRlqp0Nn4WKIjdG4mKH2D8Z+JSREXYRzOIoDYX8VMJqmnuN0qOc5ncVd848fV9nkkBBVFj5iuI7JpDWKMVgiePkbg28c92/pp8b0hxd1ow8tOluUYQRCiMZAAuQgUh0nbFUtuyxZbnHnUJ15r6lxxCGoE09QJ6SmkOJpm4wT48ED1RjkkoFv8shwLJa8gN9rRQMA42QhPFwnNlaVirt0tc5Q1EVbUycTUj4pGrq6LhH2d5HL6YR+Nwe2DLtd59MN6sS9SVMTmVlOdN27ssXlUo/NylbB7ZDBus/37aZBSFGVi3taOYobEHruCxvDGCwRfMoag+953F+5Sl0kzneqyiyDDCMQQjQGEiAHkaqesAWSdQXcZVdtWqsT2pAQdUBd96kKiD1fc1SyxsFDOlu2Fj/WHAoFdjXO8Nhx9bjwcNX4Y+RdGiGhlAp87x4Ths1WHCCX914DDQB8nSxccokqtcwvatZD0UlyeDjcOUzKJ0XDVx+mafC8yJWZibss+pO1sHlL+XMKe14EM2mqqV9aurqQZQS4oBptaRQHtyXfd05O8eOMzLHZrIJsXYf27dTv4LsCJZjHYIngU9YY/Nat1WOM4z6aqqpIT3dhsQTnVC5CCOGLBMhBqLInbIFkXaH4MVo5ZVdGVvbJ2dDlKhVY5+aqbLLNVpyh8exE6y/w9XeS7O+9BhoA+MqYX7wI1/WG774vOknQISERxt+DlE+KoFHXJcKe2/qHy3V3xio0RG2D75dTueJ5ESwmRk0lBXAhrWiIRIjqiWBc7DOC21dfAc/3nZhYNF4ZtQynUz3/6DF1e4jH8BApLxUNma+L4GazqpjKL/A+HoeHq7H4I4bDtq9NWK1OGUYgRCNR1ekfg4EEyMIt0KxreY/xPY5Z4435Klh98imV0YmLUwGryaQCZs8MdHVkZcoLAMrKmJ86DR+8o8ZgyTzIIhjVVolwIAfazVtUcKxpcP5CcXn0oiU6QwbrhIebfC7LuAhmZLh0Xe1XHA6VUY6MLH4NI7jNzlbNvzzftzHllNWqHpeXX9xbweTRi0DKS0VD5m8MvjHu3uksvuhtfNfHjdWYMS2OY8cyGvXJshANXSDHYn99iIYM1jl/3oWu641mHyABsnALNOta3mNSUnW/45hv7gvZOboqizQVn3waJ6/p6Tpmc/WcrJcXAJSXMc/PV1PKCBHMaqpEONBp1oztsNABWUWl1sbdaWmw/CO4717fyxo+TO1X1m8oznANGgifbgCb1TtALhncer7vEcPVctxZ5QTo2gW+/bZ0PwQpLxUNla+L4CaTuhCUl6cuCEf4+K4b3eiFEA1PRaY89VVV+cYCnUWLwWKxERlZ/vCnYCEBsvASSNllWY8pbxzzwAFq/HJGhnd2Ji9PzTn85FMqgA50zuJA+AsA6rpRkRDBLNCGf7GxEB0FFy5QPD0TQFF1yRebVLfq1NXqvtLL0pgw3jvDFRqqV2h8ta+LaUZnX+lSLYKFv4vgYRbo3QtOnUK+60IEmUCPxb7O3wsKIC9X/WzbRq9w496GTAJk4SWQssuyHpOZqfvNymZmQkqq+plhBVumClBDQyHX6L+lV657dmXUh0ZFQgSjikyzZrFo3HqLzi/vqOEMLq24wZbZDMeOwfvH1O+JiWo7LbmshATvDFdlx1eXvJgmXapFsClr23A45LsuRDCpyLG4ZFWlroPVppJXmqYeFxamlztdarCQAFn4FEjZpa/HlJWVRSueOiIuTl2ptmVCkyYqqwxld8+uCXXdqEiIYFTW8IXMTDh6VKdDh+KD69jRkPqxmlsd1EUzs1l1mA4xqS7y6JCeru5PiPdumJWQoJOWpns19atqcOs5XkvKS0WwKGvbsFik+ZwQwSTQKU/tdp3CQp3oKNUTKCKieFYH9OJeBS5X42lWKQGyqFZlzW8aEqJOdo0guFlT1T0zOlqVWFvM3svy3AhbtFC3VXdnPZnLVIjq5+9CWUYG2AvhyachNqZ4LFN4uIn7xuu8/4EOqOecPacyyomJ6kKa0V3aZoO4WLVfiY+HTZt1Nn5uw2orPTSjMuOrKzJeS4iGSqYnEyL4lTeUMDpaJyW1+HjndEBOrnpMWFjRbDOopJbJpOFyNZ5hiKbyHyJExYwYDhMnaCQkqJKthAQYlQwhod5XsTRNZY7z89QcjPn53svJz1fTtxidsVNSdabP1JnxkPqZkqrjcunY7Sp7ZLfrlV5nowlJbQXH1bHOQtRX6kKZOphmZKgLYKdPQ3aOygxbzMXDKFJXq+eMGA6TJqqT9sLCok738Wr/ER9HURpZ7VMuXlQH7rZtYfFSyLC6MIeWXmZlGOO1rFaqbZlCNAZyXBOifvF1LM7IKB5KuG695nW8041NV1MXpZs0UYG17oLcXN3rucGeTJIMsqh2vrKyAJu36H6vYg0aCEuW+u8Yu2xFQakmA+9/oLP/Wzh5kgaT6ZHslGgsPIcvZGaqzHFUFLRupS6O+RoHZew30tN1nnxKZYuheI7jtHTV4ToxEe4YrLpVm0zQJNGEw+H0O7YqUBUZryWEUOS4JkT95W8o4ZDBOg8+RKnjnZahqrSee1bN6LBuvXpuTk7jGoYYtAFydnY2c+fOZePGjVy4cIHmzZszaNAgZs2aRVRUVEDLOHr0KOvXr+err77i2LFjWK1WmjRpQp8+fZg2bRqXXXZZqec8/vjjrFq1yu8yf/jhh0q/p4amZAlXWQ2xRgxX4w79dcZemZJfaiM+dRq2bFUnyxG11NirqgLtJihEQ+d5oezoUZ0nn1aZY83jfNnXWCaLRaNVK407h3l3otZ1FSiPGqnmZs3MhBUr9XLHVlVEoOO1hBDF5LgmRP3lbyhhWhpkZfs+hubkgMWsER5e/FxNi0PXrX4vElf3EMi6FpQBcm5uLvfddx+HDx+mb9++DB06lMOHD/POO++we/duFi9eTFhYWLnLefnll1m3bh1JSUncdtttREdH8+OPP/Lxxx+zYcMG3nrrLXr16uXzuRMnTiQ22Av0K6ishljldsbO8t6IXS7Vdl7XITZGBdf1PdMj2SnRGFksGh06qDHHnhUkLpc6CCcm+h7LVN7+IjZWd4+tiokpfl5VxkfJ1G9CVIwc14RoGEomrSpyvLNYNBISTGRklN6Wg7WCJCgD5LfeeovDhw8zdepUHnvsMfftL730EgsWLOC9995j2rRp5S7npptuYurUqXTu3Nnr9rVr1/KHP/yBZ555hrVr1/p87qRJk2jbtm3V3kiQCaQhlt/O2DEa6eneJ9fuxl8hxY+tz5keyU6Jxsqzed/Fi2occVa22o5DQmDNOhgxXPc6mJa3v/BcZnq6C4ul6tO0ydRvQgTObtc5elQnM0uOa0I0NNV1vAvWCpKga9Kl6zorVqwgMjKSBx980Ou+Bx98kMjISFasWBHQspKTk0sFxwBDhw6lQ4cO/Pzzz1y8eLFa1jvYlNWso6INsSwWjVHJ4V5NBjIzValmeJh3yaZnY6/6xrhaV1YzMiGCldG8TzOprtSgOmNC2U2wytpfGMtMTDS5GwJOnFC18VG+mgxWdZlCNCTlNdvybJr556fVcflihkeDH+S4JkRDUNXjXckKkogI9dNkUhUkDblhX9BlkI8ePcr58+fp27cvkZGRXvdFRkbSo0cPtm3bxpkzZ2jVqlWlX8dsVnMShYb6/gg3b95MTk4OFouFSy+9lOuvvx6LxVLp12soaqrU4u4xYeTm5rrLLRMToWtXOHDAf2Ov+kayU6IxM5k0hg3R+WQNuJxqGzYubpVXjulvbJORZZ4wPo5jxzKqZeyTTP0mGit/x+8HJnmf5JbMGFnMqkP96TOqqY8c14RoGKp6vAvmysigC5CPHTsGQIcOHXze36FDB7Zt28bRo0crHSAfOHCAn376ia5du/odZ/zss896/d6sWTOef/55brrppkq9ZkNRU6UWaiPWvDbi0FD1er7GKNZXZY2rFCLYZWaqE+nIyPKbdUHgF9yMLHN1knliRWPj7/gdGVnA4IHqMf7GHJ8+rTrVFxbKcU2IhqQqzbWCuW9H0AXIWVlZAERHR/u837g9Ozu70sufPXs2JpOJP/7xj6Xuv/baa+nXrx/XXHMNiYmJnD17ljVr1vDmm28yY8YMli5dSteuXf0uPy4uDpOpYVa+2+06n663EWp20SRRvYeYGEhPd7F+g4kJ4+O8Nj67Xcdq1YmPD+wqc0LR0bhFi+LbfvsATBhfseXUtYa4zvWR8X0QDUdUlE58nI0Mq4uYmOL9nN3uIjHRRPv23vuIpcvyWbQ4F1OIRkS4RmaWzqLFqhronru9L1nL90GIyiur2VbKqnz636JjsWh+M0YJCSo4fu7v0KGDHNeEqO+qo+IzmCsj622A/MILL2C32wN+/MSJE/1mjatLfn4+M2fO5L///S+PPvooffr0KfWY0aNHe/3evn17Zs6cSYsWLfjzn//Mq6++yuuvv+73NWzGxJ8NUFqajtWmYzGDw+F0326xgNXq5NixDJo21fxslFqZG2VCQgIZGRl+X9tsVh1xc3Kq/W3VmIa4zvVFed8HUX/dMVhN33ThgtPrYDp4kIucHKt7e7DbdZavUKWdcbEAOhaLOmFf8VEO/W/JdR985ftQmlwwEBVRVqlkZqburu4oL2MkwbEQDUN1VXwGa2VkvQ2Qly1bRm5ubsCPHzRoEB06dCCmaL4Pfxli43Z/GWZ/CgoKePDBB9m5cyfTpk1j+vTpFXr+yJEj+fvf/86+ffsq9LyGJNBSi2DteCeEKF+gB9NgHtskRH1T1vG7aVM1rRoEd8ZIiMaiOqdnC9a+HfU2QK5sINm+fXtANevyxbi9Itnm/Px8HnzwQb7++mumTJnCH/7whwqvV0hICLGxsQ06QxyIW/rByhT/jbNkzkQhGrdAD6bBPLZJiPqmrMA3eWQ4Fkue+7HBmjESorGoiQvQwda3o94GyJXVoUMHmjdvzt69e8nNzfXqZJ2bm8vevXtp27ZtwA26PIPjyZMn+xx3HIjTp09z4cIFOnbsWKnn12clS6ZDQgDNd7MOyQoJIaD8g6lkqoSoXf4C37vHhGGzFQfIvi5yAVy8CLGxumybQtRzcgG6fEEXIGuaxpgxY3j11VeZP38+jz32mPu++fPnk5ubW6o8Oi8vj9OnTxMREUHr1q3dtxtl1V9//TUPPPAAs2fPLvO1L1y4gMvlooVnFykgMzOTxx9/HIBhw4ZV9S3WOyVLpp0OcDrVwXbcWO8TWdkohRCBkkyVELXHX3WHv94gFotGYmLNTO0ohKg5cgG6fEEXIANMmTKFL774ggULFnD48GE6d+7M999/z7Zt2+jatSuTJk3yevyBAweYOHEivXv3ZuHChe7b//rXv/L111/TrFkzoqKimDt3bqnXGjlyJG3btgXgv//9L5MnT6Z79+60b9+exMREzpw5w1dffYXVauW6665j6tSpNfvma1lZJdNbtsK4sd6Pl41SCBGoYB3bJER9VpFSSekpIkTDJBegyxaUAXJkZCSLFi1i7ty5bNy4kZ07d9KsWTMmT57MzJkzCS9Z3+vHqVOnAJUZnjdvns/H9O7d2x0gt2vXjpEjR3Lw4EE+//xzsrOziYyMpFOnTgwbNowxY8YQEhJSPW+ynqhMybRslEKIiqjM2KaqzO0ohCif9BQRouGSC9Bl03Rd1+t6JUSxhjZVid2uM32mjtVafIAEdYBMSIDX5vnPClfkBFamcRGe5PsgPHl+HyozjVwwkmmeGo+a3hf629+mpenMeEjHHOo9ZCovDxwOmD9Xo2nT4NjmGvsxR95/437/ULOfQX08XpnqegVEw6ZKpjVcLhUU5+Wpn4GUTKuskJRVCyGqj1HyabWCObS45DN1dV2vmRDBxegpkp/vfXt+PsTESE8RIUTDJQGyqLIRw2HiBI2EBHXVOCFB/S4l00KI2lSy5DMiQv00mVTJp90uBVNCVJeqXCAXQoj6LCjHIIvaJeMYhBD1QXVOIydjmIUon/QUEUIEIwmQRbUJtknChRANS3VMI+d7DLNMWyOEL3KBXAgRjKTEWgghRFCojpJPGcMsRMVJTxEhRDCRAFkIIUTQqEpPBBnDLETg7HadtDTZLoQQwUdKrIUQQgSNqpR8VucYZiGClQxDEEIEO8kgCyGECDqVKfmUaWuEKJ8MQxBCBDsJkIUQQghk2hohylPWMIQ1a3XOnHFJybUQ9ZwMjyiflFgLIYQQRWTaGiH8y8yEzCwINasLR6aiNEuhA379FWb+HuLjdCm5FqIekuERgZMAWQghhCgi09YI4ZvLpbNps05GBhQWgtkMcXGADjYrmEIgzFJccg1qWxJC1A/G8AiTSfXWkG3VPwmQ65mEhIS6XoV6Sz4b4Um+D8JTTXwfWrSo9kUK0WClrobFS8FiBkehCpLT0kDXQdMgMREiI9W/jAzV+X3YELnAJER9UHJ4BKghErKt+iYBshBCCCFEBWVnZzN37lw2btzIhQsXaN68OYMGDWLWrFlERUUFvJxOnTr5vW/kyJG88MIL1bG6VeJ5ct26tco8WW0qSNZ1iIuF+Ljix/vq/G6361KVIUQVVGYbMp5jL9RlloYKkABZCCGEEKICcnNzue+++zh8+DB9+/Zl6NChHD58mHfeeYfdu3ezePFiwsLCAl5emzZtGDlyZKnbr7zyyupc7UorOQVafLwqr87OhvMXICREZZEN+fkqSxUbK+MehaiqymxDJZ8TFQkOBxTa1XZsbK+e26ooJgGyEEIIIUQFvPXWWxw+fJipU6fy2GOPuW9/6aWXWLBgAe+99x7Tpk0LeHlt2rThoYceqolVrRbGFGhWqyrLBHWC7XCo0mqnQ5VqhoerE27Pzu8pqbqMexSiClam6CxcDCGhEBHgNuQ53jgsDM6eg5wcdV+GVW3T5tCqz9IQrJUhMs2TEEIIIUSAdF1nxYoVREZG8uCDD3rd9+CDDxIZGcmKFSvqaO1qRllToI2/ByZN1EhIUAFzQgJMnKA6v5c1LdTadTLNjBBlcbl0ln/k4vUFakhDZiYUFJS/DZXc7grsapsFdWFL08BmA7TibbUy65aSqjN9ps6Mh9TPlFQdlys4tmnJIAshhBBCBOjo0aOcP3+evn37EhkZ6XVfZGQkPXr0YNu2bZw5c4ZWrVoFtMzMzEyWLVtGRkYGcXFx9OjRo8yxyXWhrCnQTCatVOd3u13n6FH1WBn3KETFpa6GhYvVWH+TBk4npKer+8rahjyHRLhcKhjWNJUx1oFL2qrb4mLVjA2VGeoQ7B2xJUAWDc7hw4f59NNPOXToEIcOHSIjI4PevXuzcOHCul41UYMOHDjA3Llz2bdvHw6Hg6SkJO6//36GDBlS16smatnHH3/Mnj17+O677/jxxx8pLCzk+eefJzk5ua5XTTQCx44dA6BDhw4+7+/QoQPbtm3j6NGjAQfIR44c4emnn/a67aabbuLFF1+kSZMmVVrf6lLeFGgWi0bTpsWZpTVrdTKzVKbZYi4uzQYZ9yhEeYwscGiImlLN6VRj/Z1OlU2OjYVEP9uQ55AIsxlcThUgu3S1jNBQiIpSJdeVuUjVGDpiS4AsGpzPP/+cN954A7PZTMeOHcnIyKjrVRI1bMeOHUyZMgWLxcLQoUOJiopi48aNPProo5w9e5bJkyfX9SqKWvTyyy9z6tQpEhISaN68OadOnarrVRKNSFZWFgDR0dE+7zduz87ODmh5kydPZuDAgXTo0AGz2cxPP/3E/Pnz2bp1K9OmTWPZsmWEhIT4fX5cXBwmU82OmCs5jVpZU6AtXZbPosW5mEI0IsI1csNcZGfDmTMaTZpo5OWpEswxoyNp0SLc/4LqmcY+taC8/9p9/+fPu8jNtREdDaGhOhfSdJxOdV9hIbhcWpnb0Ngx+by5IJfsbB3NpIY/mEyQmGDCbNbIzHSRmGiiffu4gINZ4zMw1i0qCkJDi58bFaWTkwOaFkdCQsMexSsBsmhwBg8eTP/+/UlKSsJqtdK3b9+6XiVRgxwOB0899RSaprF48WJ3V9eZM2cyevRo5syZw6BBg2jTpk0dr6moLf/4xz9o3749bdq04c033+Rf//pXXa+SaIBeeOEF7HZ7wI+fOHGi36xxVcyePdvr9+7du/PGG28wadIkdu3axRdffMHAgQP9Pt9ms1X7OnlKSEgI+EK03a6zfIUKgONiAXRatoDTLiiw6+Tn68TFqdLsgQNyycjIq7kVr0YV+QyCkbz/2n//uq4TGaljtaqu8c6iUunCQpUVvu8evcxtaOAAndxcWLtOVWxk56gGX2aziwsXVOn14EEucnKs7uZdZfH8DDzXzWIpfkxOjsoo67qVjIzAM8j18eKLBMiiwbniiivqehVELdqxYwfHjx8nOTnZa8qTmJgYpk+fzuOPP86qVauYNWtWHa6lqE033HBDXa+CCALLli0jNzc34McPGjSIDh06EBMTA/jPEBu3+8swB8JkMjFmzBh27drF3r17ywyQ6xPPsY+6XlwWmpigTuyf+zt06FD5jrmGYO2cK4RBNcZT43qt1qJtKgYcTpgwHsaMLjtD6zkkwmrV2bIV1m+kVP+Aqq6bv+71DZ0EyEKIem3Xrl0APisFjNt2795dq+skhGj49u3bV6nntW/fHlDNunwxbq9qttnIqlQkiK9rsbEQHQ1nz4C9UJ0wm0xqDHKr1lUPjmVOZdGYlGyMl5hY8cDWYtFo3lxjzGi4a3j1XVgqq2lfMJAAWQhRrxknm8ZJqadmzZoRGRnpbpojhBA1rUOHDjRv3py9e/eSm5vr1ck6NzeXvXv30rZt24AbdPnz7bffAtC2bdsqLac2WSwal7TV+fln1RTIpEGhE+x2aNum6iflwd45VwhP5TXGqyijkV59XLf6pmGPoBZCBD2jXNEoaywpOjra3TRHCCFqmqZpjBkzhtzcXObPn+913/z588nNzWXs2LFet+fl5fHLL79w+vRpr9t/+OEHCgsLS73G3r17eeuttzCbzQwePLj630QNsdt1TpxQHXLNZtBM6mdUFJw8SZXmPZY5lUVjpQLbyldf2O06aWk1s41Udd3qK8kgizpRX5qjCCGEEBU1ZcoUvvjiCxYsWMDhw4fp3Lkz33//Pdu2baNr165MmjTJ6/EHDhxg4sSJpaYkfPfdd9m8eTM9e/akVatWhIaG8tNPP/H111+jaRpPP/007dq1q+23V2mZmaoZUGIChIUVl1gXFKixj0eP6nToULlMk+f4Zk8yp7IQvsmQhMqTAFnUico2RxGNj9Hoxl+WODs7m7i4uNpcJSFEIxcZGcmiRYuYO3cuGzduZOfOnTRr1ozJkyczc+ZMwktGcX7cdtttZGZmcuTIEbZv305hYSFNmzZl6NChTJo0iW7dutXwO6lenvOvRkSo4BjU/Kj2QnjyaYiN0St1kl5y2QaZU1kI32RIQuVJgCzqRGWbo4jGx7gwcuzYMbp06eJ134ULF8jNzW1wJ5FCiIYvJiaGJ598kieffLLcx/bp04cffvih1O233347t99+e02sXp3w1d02I0NllaOiVLOuyp6kN4bOuUJUl5JDEkBdWMrIUEMShg0JrjHD1U3GIAsh6rVevXoBsG3btlL3GbcZjxFCCFG3RgyHiRM0EoqmdrIXquC4dauqjxv2XLbDoZb1/9u79+Co6vv/468TsiFsEkJiQCyi4TuyjJeqSEVkQL8tCDYBGhH46U9ATbFVwSk4ULBT9avFipfyG4RybbX1gmIERDGpqfXrBRFRoDogiENNkChCYHPd3Pf8/jhsyG2T3WSvyfMx44ScDWc/Z/fE4b3v9+f9nj2r+3TOBQLFly0J8I4MMoCIdu2112rw4MHavn27Zs+e3TgLuby8XGvXrpXNZlNWVlZ4FwkAkNS8u21BganfPWRljo0myarO7hvu7p1zgUBhS0LXECAj6hw5ckQbNmyQJFVXV0uS/vOf/2jJkiWNP7Ns2bKwrA2BFxsbq6VLl2rOnDm67bbblJmZqYSEBOXn56uoqEiLFy+OqjEo6LqcnBzt2bNHknT48OHGY56Z2SNGjND06dPDtj4AVuCanm7tOQ70P9IDOa4G6I7YktA1BMiIOsXFxdq6dWu7xwiQu5dRo0Zp48aNeuaZZ5Sbm6v6+no5HA4tXLhQGRkZ4V4eQmzPnj2t/h+wd+9e7d27t/F7AmQg/PhHOhA+1tYDQ2/lmiovtz6UysxgS4IvDNM0GRwHAAAQhZxOZ1DPn5KS0qXn8Iya8fwjPSnp7D/SuzJqprbWDFmZdVdfg2jH9Uf39QfidyWYr0GKp4tYBCGDDAAAgKAI9L5ht9vUa1tMbX9LclVJfZOY7Qq0hy0J/iNABgAAQFAF4h/pbrep//mDqfc/kExT6tVLqqiQ/v48s10BBA5jngAAABDxNm9pHhybplRVJdXUdm5sFNCd1daaKi7m96IzyCADAAAgotXWmnrzLSsoju0lGWdSPPX1Uk2NVb7t79gooDvy7Pvf/pap8gpr3BPbEPxDgAwAAICIVlZmZYt79ZLcptTrzPGYGKmhQbLbme0KSNLrb1id42NirM7xJSXW92xD8B0l1gAAAIhofftaHbDje0syraDYdFtfDUPKzGi7+RdlpuhJamtNbX/LCo5TUqz54ykp1gdJbEPwHRlkAAAARLSmM5UlqbpGqj8THF9/nTRtavPgmDJTRJNAjS0rK5PKK6zMcVPx8VJ5OdsQfEWADAAAgIiXNUWSDL2VawUTdrs1PurmqUaroJcyU0SDQH+Q07evdY6SEit77FFdbWWS2YbgGwJkAAAARDxfZyq3LDOVrGDB6bTKTCd5KccGQi3QH+Q0rbRwOq1zVldLbreUmWFw3/uIPcgAAACIGtZMZe//2PelzBQIhbb2wHuOVVS4g7JfOGuKNHuWoZQUq8t7Sor1vVWBAV+QQQYAAEBUaW/PJmWmCLe2SqczM6yA961c6wOcPvFS8SmpX3Lzv9vV/cK+VlrAOwJkAAAARAVf9mxSZopwa6t0ev1frMcS7GeD4MpKqxt7MD7IsSotunaOnooAGQAAAFHB1z2bTRt6lZdbAUdmBmWmCL629sDb4qRTp62u64N+ZH3t00eqqpZcVdJpp5VR5oOcyMAeZAARbf78+Ro2bJiefPLJVo998803Gj58uIYPH66CgoLQLw4AEDIdzXitqHA37ve0ykwNrVllaPVK6+vUrNbdroFAa7oH3jQlZ4n07bfWzO76eisY9kjpJyUmSH2T2C8cScggA4hojzzyiPbt26fnnntO1113nUaNGiVJqqur08KFC+VyubR06VKlp6eHd6EAgKBqr/nW8ePSvfdJVdVms7JrykwRak33wFfXSKdONX/c6ZR6xUj9+kk1NdLAgdKK5VJ1tcF+4QhBBhlAREtOTtYTTzwhSVq8eLFKS0slSatWrdL+/fs1fvx4TZ8+PZxLBACEgCfwqK5uftzplCoqrT2dttizZdevvxGWZaKHs/bAG2pokE6flmRaJdUxhlXtYJpWFvm082w5dWJiTKvO7G11wEZoECADiHijRo3SnXfeqePHj+vhhx/WZ599pvXr16t///76wx/+EO7lAQBCwBN4uN1WUFx1Zu+mq8oqt05NDdyoHKArsqZIN0+VDEkypF69rI7UaWnWn91uq6y6rXJqt9vUltdN3T3X1D33WV+3vG7K7eZeDhVKrAFEhfnz52vnzp3Ky8vThx9+KNM09fjjjys1NTXcSwMAhEjL5lt9k6wy1eQWHX+7OioH6IqYGEO3zJD+9z2rk3pqqpVFlqyu1X37Sn9+RkpMbF1O7WsjOgQPGWQAUSEuLk7Lli2TJFVUVOiWW27R2LFjw7wqAEAoeZpvrVguLX1E+n9/kgaeawXJTVVXS0lJzDxGcLVXBh0XZ2jyJCsALimxKh6cTqvE+hdTrLLqts7XXiM6KiJCgwwygKiRl5fX+OdDhw6poaFBvXr1CuOKAAChdHYOshrnIJ9/vrXXk5nHCBVf5nFL/o8ba68RHRURoUOADCAqfPbZZ9qwYYP69++voUOHaufOnVqzZo3mzZsX7qUBAEKkrfLTU6ekK66QiorEzGOEhLcy6IZ66af/rcZu1FbFgzQpwwpuO+pS3bQDdp8+Z49XV1v3NRURoUGADCDiVVRU6Le//a0aGhr0xz/+UZdccokmT56sNWvWaOzYsbriiivCvUQAQJC1LD+VrCDC6bSCY0blIBS83YfffSet3SBtes1U36TmGWVfx41ZjeisYJuKiPBhDzKAiPfoo4+qqKhIM2fO1HXXXae0tDQtXbpU9fX1WrRokVwuV7iXCAAIso7KT6urjVajcoBAa+s+LCmRXC6prs7aL9yVUWNZU6zu1ikpUn29FYS31e0awUOADCCi5eXladu2bbrooou0aNGixuPjxo3TjBkzVFhYqMceeyyMKwQAhIK3Ocg05EIotbwPTVMqKZVMSTablGDvWmMtTyO6NasMrV5pfZ2aZTTb24zgIkAGELF++OEHPfzww7LZbHr66acV3yJt8MADDyg9PV2vvfaa/vnPf4ZplQCAUGhrDrLTSfkpQqvlfVhZaWWOJSk52QqMpeaNtTr7PFREhAd7kAFErHPPPVe7d+/2+rjdbtfbb78dwhUBAMLJ367AQFfU1po6ccIt0zSbBapN78OyMitzbLNJ/ZLP/l0aa0UvAmQAAABEBX+7AgOd0XSMk8tVKrvdbNZ0q+V9+O57pja+bO09prFW9CNABgAAQFTxdAWurTVVXGwSKMNvtbWm1w9Zmo5xSkg423RLsgJjD899OG2qFBsrKhu6CQJkAAAARJWmGb7yCqtpUtMMX3fTXjAH/3R077Qc4xQbayguztpv/FauqUkZrd8DKhu6FwJkAAAARJWmGb74eO8ZvrZEU7DZ0z4ICIWO7p2OxomVlcnrTGNf5x0jstHFGgAAAFGjZYavTx/fxuq43aa2vG7q7rmm7rnP+rrldVNut39jeELJE8yVlEi22K7N1w0kT2m7vyOMws2Xe4dxYiBABgAAQNTwJcPXlkgNNr3p7AcBwRSNHzI05cu903KMk8tlMk6shyFABgAAQNToTIYvEoPN9tTWmiooMFVW7v8HAcEUbR8ytOTrvZM1RZo9y1BKijXjOCXF+p6mWz0De5ABAAAQNawMnxWYOZ2+jdXxdV9puPcnN9tzXG5lMG026UfxknFmOeGar9vyQwbJ+qChveZVkcbXe6dp0y3DSJZpljS7tnDfJwguAmQAAABEFSuTZ/g8VseTOSwpsYI6D0+wmZhoasvrbTfD8kWgAqaWDaTibFJFpfTd91JqSnjn63aleVUk8efeiYszlJISI6fTeq1pmtYzECADAAAgqvg7VqejzGHuP7x3Nv7lnd7XEciAyVuG9rvvpNq6s6W+4Zqv29GHDNHSvKorI5m60j0d0YM9yAAAAIhK1lgd37KpTfeV1tef3VeacWPn9ycHck+utwxtSoqVPX7sUWnNKkNTs4ywZCtbNq+qqlLQm1cFs1u2P/eOZy3RtI8dnUcGGQAAAN2et8xhcbFUXmF6LR0uKTFls7U+X6D35HaUoU1PD38HZX9L2zsrEkuZu0uJOTpGgAwAAIAew8ocnv2+vcA0OVmqrTNlmmar4DTQAVNnmo+FWlfKk/0RiaXMTe+T3r2t9yUmJvpKzNExSqwBAADQY7VVOnz6tFTpkkpLpV/eVdbmvN+2Rga53VJlpZSQ0LmAyVsZeKSNF/K3PNkfkVrKHBdnKDPDui++KZAKCq2vlS4p4+d0s+5OyCADAACgR2tZOmw0SSHZbG1nMJtmfE+ftgLa8gorSO7VS9qeK2VNMf0qCQ5VhjaSUcqMcCODDAAAgB7NCkwNrVllaMVyKbmvlGC3Mpd2u+E1g+nJ+BoxUmmZdSw52fratFmXv82mgpmhDaZANNVqKzMvWd8nJXW9lLmza6ytNfVWrnVf/NcQKf1C62uCXcrNE026uhEyyAAAAICswNRmkyoqvTftaprBjIkxNCnD1JvbJXeDlJoqGWdiWqfTajLVUG8q721FTLOpYOioqZY/c6K7uhfb23N1tfFX08y2YUixZ6IoMtvdDwEyAAAAuhV/ArKW/J33W1YmVVRKdvvZ4FiyAqcffpBeeMkKpiKl2VQweGuqZZrWa+JvUNqZbtlNA+CycsneR5qUaWraVGssVlcbf3WXOdDoGAEyAACAHw4ePKi8vDwdOHBABw4ckNPp1MiRI/XCCy906nxffPGFVq5cqX379qm+vl4Oh0N33HGHMjIyArzy7i8Q44FaZjATEkxVVnrPYHoLnKqqpOoa6/FAjIGKVO2Nu3rpZamhwVSvJkHp3583VVEh3TLD+/V3Zi/2629Y566plWpqpBMN0p/XSPsPmPrdYlPb31KXRnJFQ5dxBAYBMgAAgB/eeecdrVu3TjabTUOGDJHT6ez0uXbt2qU5c+YoLi5OmZmZSkhIUH5+vhYsWKDjx48rOzs7gCvv/gI1HqhpBrOysv0MprfAqb7BGgfUJwKaTXUlo94Rb021eveWjh+39mSnpEimaX1gUFomPfc36X/fMzV5UvsfXjQdydXeNXiC9Jpa64MJw7AapTU0SO9/IP1XemAaf4VqDjTCiwAZAADADzfeeKN+9rOfyeFwqKSkRGPGjOnUeerr6/Xggw/KMAy99NJLuvjiiyVJc+fO1bRp07R8+XJNnDhRgwYNCuTyu632Mpn+ZmybZjANI1mmWdLu320rcJo4Qcp7WyotCW1JrieQjI835XJZAWIw90B7y6C7XNZXz7GSUunUKUmmZBrW++LLhxe+VAWUlUll5Vbm2BMcS5Ih64OKf71nNdMqK+vae0GX8Z6BABkAAMAPQ4cODch5du3apaNHj2rq1KmNwbEkJSUl6e6779aSJUu0detWzZs3LyDP190FYzxQXJyhlJQYOZ3tB0HeAqfYWDNkJbmeQPLNt0z98MPZYLGuztqPm5ISnD3Q3jLokvWcNTXWsdLSM3u0zwSwqanWejr68MKXqoC+fa1rPNFwNjiWJLdpfV9dJU2eJG3ZqoC8F00z2+h+GPMEAAAQBrt375akNjPQnmOffvppSNcUzYI9HsgXLcczecZApaRYc5JTUqzvA1mS6xlbtHmLFYwf/16qrJBqa88GgVVVVqDqbVyVP8/T1t9r6zpvn23otv9rPb9nTrRpSjKlfslWsNz0wwtvz9m0KqDPmUDfMKRtb5iqqHBLOhukG4ZVVm26ra8ypfje1ns/Y1rw3wt0D2SQAQAAwqCgoECSdOGFF7Z6rH///rLb7SosLAzxqqJXJDZRCmZJbsuuzU6nZLNZGWMjRrLFWEGyaSVbVVJq7Qf2N6Pudpva8rrZbomzt+t0u62g9c3tVtm3KemcVKlfP+vcHZU4t6wKME3rOkpKpdNO6d77pKxfmMqaIk2bamj/AVPvf2CVVffqZf293r2t9z8+nvJo+IYAGQAAIAwqKiokWSXVbUlMTFR5eXkolxT1IrWJUldKcr01p2paehx7JjCuq7Mei+3V/ByGYX1Q0NDg/77bTTk1XkucJ2U0X1vL62waOL/yqqnNW60gt6rKtw8vWu5v9uxjNs+UTpdXNC23NvQ/D0qbt5janmvtge7bt/X7T3k0OkKADAAAepxly5aptrbW55+fPXu20tPTg7egTkpOTlZMTHB3zKV4Ol5FiV/eKc26zVRJial+/QKTOQ7Ha+B2m9qUU6PNW6pVXm4qKcnQzVPj9X+m91Z9vZT3j1LF2tw6JzVGbrep06fdjRljt2kFyTExZwPj2FipotJ6LaZPs+vcc+M7WIEVnG/eUqpYm6FzUq37LClJKi5u0MaXpdy8GFVUNF+bt+Zf9801NWBAjbZsrVZZmam0NENTb2r/70jSjOnVWr/BpZISUyUl1vXFxEhp58QoNdXQqVNu/ePtGM26LVlxcYZ+dZd0x+3R//5Hmp70GhAgAwCAHmfTpk1yedrs+mDixIkBD5ATExMlyWuWuKKiQsnJye2eo7S0NKBraiklJaVLY6zCyWaTKiut/7oiXK/BltfNZpnbU6ektesq5XK5dN0YqaTUVJxNqq9vkGRlS4uLrb/rdp8tr+7d29pz2yde6pdsKjPD0ITxLjmdVR2uobjYVHm5oTib2fg8knXu0jLrmN3efG1Ts7wHpDdOkH72356ss6m4uCqVlra/jgnjrW7c296Qik+dafCVIvXt61Z9vRQXJ5WUNKiw0Km0tLPPHe3vfyQJ5msQiYE3ATIAAOhx9u3bF+4lNAbchYWFuuyyy5o9dvLkSblcLl1++eVhWBnCraORVRPGtx6t1C/ZKiuuq7OC4poaq0HVuedKN06U/vs6+Z1R7dtXSkoydOrU2edxu63S5pgYqxO1Yfg3TsvfEmdPmfaE8abuvc96bs8eZin4Y7PQ89DFGgAAIAyuvvpqSdKOHTtaPeY55vkZ9CwdjayqrjY0KdNqguV0Wnt6S0qsgPjXd0nPP2to22bp788aWvtnQzOmxWjAgJhOjTPKmmKVdJ8+8zynT1tBclLSmbFNLdbmrSN1VyUmxijrF4bMJtfsdIa3CRu6JzLIAAAAQVRXV6ejR4/KZrPpggsuaDx+7bXXavDgwdq+fbtmz57dOAu5vLxca9eulc1mU1ZWVphWjXBq2ZzKo2m2tL2GZNaeXkNnqvg7xdMlOzevWvUNUqVLqq2R+g9oPmu4rbUFS6Q2YUP3Ypim6d8QNAAAgB7syJEj2rBhgySpurpaeXl5SktL09ixYxt/ZtmyZY1/PnbsmMaNG6dBgwbp3XffbXauXbt2ac6cOYqLi1NmZqYSEhKUn5+voqIiLV68WNnZ2e2uJdh7I9l/GTl7kD1dn2fPMprt8/XW5TpQzx9rs/YgV1VZ45Nm3SbFxho+rS1YgnXNbeF3gD3IAAAAaEdxcbG2bt3a7rGmAXJ7Ro0apY0bN+qZZ55Rbm6u6uvr5XA4tHDhQmVkZAR03YguvmZLgzG2qOke6HNSY1Rf39C4z/jtfOnPz5g+rS1YGNWEYCKDDAAAEKXIIAdfuF+DUGZLPYqLTd1znylbrJSU1Kuxg3VVldURe/VKQ2lpRljWFmrhfv8jQU/LINOkCwAAAIhQVrY0tE2oPHugq6ubH6+utppzefYZh2NtQLARIAMAAABoFBd3tkv2qVNuOkajR2EPMgAAAIBmPHug//F2jEpKGugYjR6DABkAAABAMzExhqZmSbNuS1ZhobNb7zMGmiJABgAAANAmzz5joKdgDzIAAAAAACJABgAAAABAEgEyAAAAAACSCJABAAAAAJBEgAwAAAAAgCQCZAAAAAAAJBEgAwAAAAAgiQAZAAAAAABJkmGaphnuRQAAAAAAEG5kkAEAAAAAEAEyAAAAAACSCJABAAAAAJBEgAwAAAAAgCQpNtwLAAAAQHgdPHhQeXl5OnDggA4cOCCn06mRI0fqhRde6NT5vvjiC61cuVL79u1TfX29HA6H7rjjDmVkZAR45YFTUVGhlStXKj8/XydPntSAAQM0ceJEzZs3TwkJCT6fZ9iwYV4fu+mmm7Rs2bJALLfTAvHe1NbWav369XrjjTf0/fffKzk5WT/96U81f/58nXPOOUFcfdd19fq3bNmiBx54wOvjzz//vK655ppALTfgtm3bpj179mj//v06fPiw6urq9Pjjj2vq1Kl+ncftduull17Sq6++qsLCQtntdo0ePVoLFizQ4MGDg7T60CBABgAA6OHeeecdrVu3TjabTUOGDJHT6ez0uXbt2qU5c+YoLi5OmZmZSkhIUH5+vhYsWKDjx48rOzs7gCsPDJfLpZkzZ+rgwYMaM2aMMjMzdfDgQT377LP69NNP9dJLL6l3794+n2/QoEG66aabWh2/+OKLA7lsvwXivXG73brnnnu0Y8cOXXnllZowYYIKCwuVk5Ojjz/+WK+++qpSU1NDcDX+C+S9OW7cuDbfz0GDBgVyyQG3YsUKFRUVKSUlRQMGDFBRUVGnzvPQQw8pJydHQ4cO1axZs3TixAnl5eXpo48+0qZNm5Senh7YhYeSCQAAgB7t8OHD5v79+83a2lrzxIkTpsPhMGfOnOn3eerq6szx48ebl112mfnll182Hi8rKzMnTJhgXnrppeaxY8cCufSAWLFihelwOMynnnqq2fGnnnrKdDgc5tq1a30+V2dfu2AL1Hvz2muvmQ6Hw7z//vtNt9vdeHzjxo2mw+EwH3zwwaCsv6sCdf2bN282HQ6HuXnz5mAuN2g++uijxutct25dp67l448/Nh0Oh3nbbbeZNTU1jcffe+890+FwmNnZ2QFdc6ixBxkAAKCHGzp0qC699FLZbLYunWfXrl06evSoJk2a1Cy7lpSUpLvvvlt1dXXaunVrV5cbUKZpKicnR3a7Xffee2+zx+69917Z7Xbl5OSEaXWBE6j3xvNa3H///TIMo/H4LbfcosGDB+vNN99UdXV14C+gi6Lx3gyG0aNHdznL7bkHfvOb3yguLq7x+PXXX6+RI0dqx44d+u6777r0HOFEgAwAAICA2L17tyRpzJgxrR7zHPv0009DuqaOFBQU6MSJE7rqqqtkt9ubPWa323XVVVfp22+/1ffff+/zOcvKyrRp0yatXbtWL7/8sr766qtAL9tvgXhvampq9Pnnn2vIkCGtgizDMDR69Gi5XC7t378/QKsOnEDfm19++aWeffZZrV+/Xrm5uV3alhBtPvnkk8bfjZbGjh0r6ezrHY3YgwwAAICAKCgokCRdeOGFrR7r37+/7Ha7CgsLQ7yq9nnW423PZHp6unbs2KGCggKdd955Pp3z0KFDeuihh5odGzt2rJ544omwNbEKxHtz9OhRud3udl8rz3P95Cc/6cpyAy7Q92bLBnbx8fGaO3eufvWrX3VpnZHO5XLp5MmTcjgc6tWrV6vHPa9vpP2e+4MAGQAAAAFRUVEhySpbbUtiYqLKy8tDuaQOedaTmJjY5uOe455r60h2drYmTJig9PR02Ww2ff3111q9erU++OAD/frXv9amTZvaDCyCLRDvTaBfq1AK1L15/vnn68EHH9SYMWM0cOBAlZaW6uOPP9by5cv1pz/9SX369NGsWbMCuvZI4us9EGm/5/4gQAYAAOgGli1bptraWp9/fvbs2dHdabaFSLn+xYsXN/t++PDhWrdunW6//Xbt3r1b//rXvzRhwoSAPy9CY+TIkRo5cmTj9/Hx8crKytKll16qm2++WatWrdKtt96q2FjCrGjFOwcAANANbNq0SS6Xy+efnzhxYsADxI6yRxUVFUpOTg7oc3p09vo9GUVvWU/PcW8ZM1/ExMRo+vTp2r17t/bu3RuWADkQ700oXqtgCfa9OXToUI0YMUI7d+7UkSNH2p2HHc18vQe8ZeqjAQEyAABAN7Bv375wL6Ex4C4sLNRll13W7LGTJ0/K5XLp8ssvD8pzd/b6PXsmPXtUW/Ic7+qHCSkpKZLkVxAfSIF4bwYPHqyYmJigv1bBEIp70/MeV1VVdek8kcxut6t///46duyYGhoaWm0X8Ow9bmuvd7SgizUAAAAC4uqrr5Yk7dixo9VjnmOen4kU6enpGjBggPbu3dsqeHW5XNq7d6/OP/98nxt0efP5559LsvawhkMg3pv4+Hhdfvnl+uabb1RUVNTsMdM0tXPnTtnt9lYBaCQI9r3Z0NDQ2L37Rz/6UafPEw1GjhzZ+LvR0ocffigp8n7P/UGADAAAAL/U1dXpyJEjOnr0aLPj1157rQYPHqzt27fr4MGDjcfLy8u1du1a2Ww2ZWVlhXi17TMMQ9OnT5fL5dLq1aubPbZ69Wq5XC7NmDGj2fGqqiodOXKk1azXr776SnV1da2eY+/evfrLX/4im82mG2+8MfAX4QN/35sTJ07oyJEjrUqSPa/F8uXLZZpm4/FXXnlF3377rSZPnqz4+PjgXkwnBOr62xph1dDQoKefflqFhYW65pprNGDAgKBdRyidPn1aR44c0enTp5sd99wDK1asaLbv//3339fu3bs1ZsyYLs9aDifDbHpnAwAAoMc5cuSINmzYIEmqrq5WXl6e0tLSGmeaSlYTLI9jx45p3LhxGjRokN59991m59q1a5fmzJmjuLg4ZWZmKiEhQfn5+SoqKtLixYuVnZ0dmovyg8vl0q233qpDhw5pzJgxuuSSS/Tll19qx44d+vGPf6wXX3yxWdD3ySefaPbs2Ro5cmSzcT9LlizRe++9pxEjRui8885TbGysvv76a3300UcyDEMPPfSQbr311nBcoiT/3pslS5Zo69atevzxxzV16tTG4263W3fddZd27NihK6+8UldffbWOHj2q/Px8DRo0SDk5OUpNTQ3H5XUoENc/bNiwxv/OPfdclZaWavfu3SooKNDAgQP14osvavDgweG4PJ/k5ORoz549kqTDhw/rwIEDuuqqqxpLokeMGKHp06dLklauXKlVq1Zp3rx5uu+++5qd5/e//71ycnI0dOhQXX/99Tp58qRyc3OVkJCgV155RUOGDAnthQUQe5ABAAB6uOLiYm3durXdY00D5PaMGjVKGzdu1DPPPKPc3FzV19fL4XBo4cKFysjICOi6A8Vut+vFF1/UypUrlZ+fr08++UT9+/dXdna25s6d63NGdNy4cSorK9OhQ4e0c+dO1dXVKS0tTZmZmbr99tuDtv/aV4F4b2JiYrRmzRqtX79e27Zt09/+9jf169dP06ZN0/z58yM2OJYCc/3Z2dn697//rZ07d6q0tFQ2m00XXHCB7rnnHt15551Ba0IXKHv27Gn1u753795m5dKeALk9jz76qBwOh1599VU9//zzstvtuuGGG7RgwQJdcMEFAV93KJFBBgAAAABA7EEGAAAAAEASATIAAAAAAJIIkAEAAAAAkESADAAAAACAJAJkAAAAAAAkESADAAAAACCJABkAAAAAAEkEyAAAAAAASCJABgAAAABAEgEyAAAAAACSCJABAAAAAJBEgAwAAAAAgCQCZAAAAAAAJBEgAwAAAJA0f/58DRs2TE8++WSrx7755hsNHz5cw4cPV0FBQegXB4QIATIAAAAAPfLIIxo4cKCee+457dq1q/F4XV2dFi5cKJfLpd/97ndKT08P3yKBICNABgAAAKDk5GQ98cQTkqTFixertLRUkrRq1Srt379f48eP1/Tp08O5RCDoDNM0zXAvAgAAAEBkePLJJ/XXv/5VP//5zzVz5kzNmjVL55xzjt544w2lpqaGe3lAUBEgAwAAAGhUW1urGTNm6ODBg0pMTFRlZaU2bNigsWPHhntpQNBRYg0AAACgUVxcnJYtWyZJqqio0C233EJwjB6DABkAAABAM3l5eY1/PnTokBoaGsK4GiB0CJABAAAANPrss8+0YcMG9e/fX6NHj9a+ffu0Zs2acC8LCAn2IAMAAACQZJVUT5kyRUVFRdqwYYMuueQSTZ48WWVlZdq4caOuuOKKcC8RCCoyyAAAAAAkSY8++qiKioo0c+ZMXXfddUpLS9PSpUtVX1+vRYsWyeVyhXuJQFARIAMAAABQXl6etm3bposuukiLFi1qPD5u3DjNmDFDhYWFeuyxx8K4QiD4KLEGAAAAergffvhBkydPlsvlUk5Oji6++OJmj7tcLt10000qKCjQqlWrdMMNN4RppUBwESADAAAAACBKrAEAAAAAkESADAAAAACAJAJkAAAAAAAkESADAAAAACCJABkAAAAAAEkEyAAAAAAASCJABgAAAABAEgEyAAAAAACSCJABAAAAAJBEgAwAAAAAgCQCZAAAAAAAJBEgAwAAAAAgiQAZAAAAAABJ0v8HzpqdMYUgu8YAAAAASUVORK5CYII=\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# Visual intuition: H0 sees connected components; H1 sees loops.\n",
    "theta = np.linspace(0.0, 2.0 * np.pi, 160, endpoint=False)\n",
    "noisy_circle = np.column_stack([np.cos(theta), np.sin(theta)])\n",
    "noisy_circle += rng.normal(scale=0.06, size=noisy_circle.shape)\n",
    "\n",
    "left_cluster = rng.normal(loc=(-1.0, 0.0), scale=0.15, size=(80, 2))\n",
    "right_cluster = rng.normal(loc=(1.0, 0.0), scale=0.15, size=(80, 2))\n",
    "two_clusters = np.vstack([left_cluster, right_cluster])\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10, 4))\n",
    "axes[0].scatter(two_clusters[:, 0], two_clusters[:, 1], s=18, alpha=0.8)\n",
    "axes[0].set_title(\"H0 intuition: two connected components\")\n",
    "axes[0].set_aspect(\"equal\", adjustable=\"box\")\n",
    "\n",
    "axes[1].scatter(noisy_circle[:, 0], noisy_circle[:, 1], s=18, alpha=0.8)\n",
    "axes[1].set_title(\"H1 intuition: one persistent loop\")\n",
    "axes[1].set_aspect(\"equal\", adjustable=\"box\")\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_xlabel(\"x\")\n",
    "    ax.set_ylabel(\"y\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d372477",
   "metadata": {
    "id": "6d372477"
   },
   "source": [
    "## Generate a seasonal time series\n",
    "\n",
    "We generate a synthetic seasonal signal with noise and a weak second harmonic. The observed data is not constructed as a literal circle. The loop appears only after delay-coordinate embedding, which is a standard way to reveal recurrence in a time series.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ee9ceb5e",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 407
    },
    "id": "ee9ceb5e",
    "outputId": "29005eb8-342b-438c-c244-1d6020818e2b"
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1100x400 with 2 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "def make_seasonal_timeseries(\n",
    "    n_time: int = 300,\n",
    "    period: int = 50,\n",
    "    amplitude: float = 1.0,\n",
    "    noise: float = 0.15,\n",
    "    trend_strength: float = 0.0,\n",
    "    seed: int = RANDOM_SEED,\n",
    ") -> np.ndarray:\n",
    "    \"\"\"Generate a noisy seasonal time series with a weak second harmonic.\n",
    "\n",
    "    The signal is deliberately simple: it is periodic, mildly non-sinusoidal,\n",
    "    and noisy. This makes it useful for demonstrating how a delay embedding can\n",
    "    reveal recurrent structure that is not explicit in the one-dimensional time\n",
    "    series plot.\n",
    "    \"\"\"\n",
    "    rng = np.random.default_rng(seed)\n",
    "    t = np.arange(n_time, dtype=float)\n",
    "    seasonal = amplitude * np.sin(2.0 * np.pi * t / period)\n",
    "    harmonic = 0.25 * amplitude * np.sin(4.0 * np.pi * t / period + 0.7)\n",
    "    trend = trend_strength * (t - t.mean()) / max(t.max(), 1.0)\n",
    "    y = seasonal + harmonic + trend + rng.normal(scale=noise, size=n_time)\n",
    "    return y.astype(float)\n",
    "\n",
    "\n",
    "def delay_embedding(y: np.ndarray, lag: int = 12, dim: int = 2) -> np.ndarray:\n",
    "    \"\"\"Return a delay-coordinate embedding of a univariate time series.\n",
    "\n",
    "    The output has columns ``(y_t, y_{t-lag}, ...)``. For periodic or recurrent\n",
    "    signals, this embedding can turn temporal recurrence into visible geometric\n",
    "    structure, such as a loop. That geometry is what the topological posterior\n",
    "    predictive check compares between observed and replicated data.\n",
    "    \"\"\"\n",
    "    y = np.asarray(y, dtype=float)\n",
    "    if lag <= 0:\n",
    "        raise ValueError(\"lag must be positive\")\n",
    "    if dim < 2:\n",
    "        raise ValueError(\"dim must be at least 2\")\n",
    "    n_points = len(y) - (dim - 1) * lag\n",
    "    if n_points <= 5:\n",
    "        raise ValueError(\"time series is too short for the requested delay embedding\")\n",
    "    cols = [y[(dim - 1 - j) * lag : (dim - 1 - j) * lag + n_points] for j in range(dim)]\n",
    "    return np.column_stack(cols)\n",
    "\n",
    "\n",
    "N_TIME = 300\n",
    "PERIOD = 50\n",
    "LAG = 12\n",
    "DELAY_DIM = 2\n",
    "\n",
    "# The lag is approximately one quarter of the period, which makes the recurrent loop visible.\n",
    "observed_series = make_seasonal_timeseries(\n",
    "    n_time=N_TIME, period=PERIOD, noise=0.15, seed=RANDOM_SEED\n",
    ")\n",
    "observed_embedding = delay_embedding(observed_series, lag=LAG, dim=DELAY_DIM)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(11, 4))\n",
    "axes[0].plot(observed_series, lw=1.5)\n",
    "axes[0].set(title=\"Observed seasonal time series\", xlabel=\"time\", ylabel=\"y\")\n",
    "axes[1].scatter(observed_embedding[:, 0], observed_embedding[:, 1], s=16, alpha=0.8)\n",
    "axes[1].set(title=\"Delay-coordinate embedding\", xlabel=\"$y_t$\", ylabel=f\"$y_{{t-{LAG}}}$\")\n",
    "axes[1].set_aspect(\"equal\", adjustable=\"box\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e7543ae",
   "metadata": {
    "id": "7e7543ae"
   },
   "source": [
    "The delay embedding has an annular or loop-like shape. A model that treats the embedded points as a single Gaussian cloud can match the embedding's mean and covariance, but it has no reason to preserve the hole.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d83e7ba",
   "metadata": {
    "id": "7d83e7ba"
   },
   "source": [
    "## Topological posterior predictive check helper functions\n",
    "\n",
    "For each posterior predictive replicate, we compute Vietoris--Rips persistent homology with `ripser`. We summarize the diagrams using a few scalar summaries:\n",
    "\n",
    "- `h1_max_persistence`: the longest-lived loop;\n",
    "- `h1_persistence_gap`: the gap between the longest and second-longest loop lifetimes;\n",
    "- `h1_total_persistence_p2`: squared total H1 persistence, which emphasizes large features;\n",
    "- `h1_n_features_ge_threshold`: number of loops with lifetime above a threshold.\n",
    "\n",
    "For this example, the main diagnostic is `h1_max_persistence`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "015795ba",
   "metadata": {
    "id": "015795ba"
   },
   "outputs": [],
   "source": [
    "Diagram = np.ndarray\n",
    "Diagrams = list[Diagram]\n",
    "\n",
    "\n",
    "@dataclass\n",
    "class TopoPPCResult:\n",
    "    \"\"\"Container for ordinary and topological posterior predictive check results.\"\"\"\n",
    "\n",
    "    name: str\n",
    "    observed_embedding: np.ndarray\n",
    "    replicated_embeddings: np.ndarray\n",
    "    obs_diagrams: Diagrams\n",
    "    rep_diagrams: list[Diagrams]\n",
    "    ordinary_table: pd.DataFrame\n",
    "    topo_table: pd.DataFrame\n",
    "\n",
    "\n",
    "def compute_persistence_diagrams(X: np.ndarray, maxdim: int = 1) -> Diagrams:\n",
    "    \"\"\"Compute Vietoris--Rips persistence diagrams for a point cloud.\n",
    "\n",
    "    ``ripser`` returns one diagram per homological dimension. In this notebook,\n",
    "    dimension 0 tracks connected components and dimension 1 tracks loops.\n",
    "    \"\"\"\n",
    "    return ripser(X, maxdim=maxdim)[\"dgms\"]\n",
    "\n",
    "\n",
    "def finite_lifetimes(diagram: Diagram) -> np.ndarray:\n",
    "    \"\"\"Return finite persistence lifetimes from a persistence diagram.\"\"\"\n",
    "    if diagram is None or diagram.size == 0:\n",
    "        return np.array([], dtype=float)\n",
    "    dgm = np.asarray(diagram, dtype=float)\n",
    "    dgm = dgm[np.isfinite(dgm[:, 1])]\n",
    "    if dgm.size == 0:\n",
    "        return np.array([], dtype=float)\n",
    "    return np.maximum(dgm[:, 1] - dgm[:, 0], 0.0)\n",
    "\n",
    "\n",
    "def max_persistence(diagram: Diagram) -> float:\n",
    "    \"\"\"Return the lifetime of the longest-lived topological feature.\"\"\"\n",
    "    lifetimes = finite_lifetimes(diagram)\n",
    "    return float(np.max(lifetimes)) if lifetimes.size else 0.0\n",
    "\n",
    "\n",
    "def second_max_persistence(diagram: Diagram) -> float:\n",
    "    \"\"\"Return the second-largest finite lifetime, or zero if it is absent.\"\"\"\n",
    "    lifetimes = finite_lifetimes(diagram)\n",
    "    if lifetimes.size < 2:\n",
    "        return 0.0\n",
    "    return float(np.sort(lifetimes)[-2])\n",
    "\n",
    "\n",
    "def persistence_gap(diagram: Diagram) -> float:\n",
    "    \"\"\"Return the gap between the two longest-lived topological features.\"\"\"\n",
    "    return float(max_persistence(diagram) - second_max_persistence(diagram))\n",
    "\n",
    "\n",
    "def total_persistence(diagram: Diagram, power: float = 1.0) -> float:\n",
    "    \"\"\"Return total persistence, optionally emphasizing long-lived features.\"\"\"\n",
    "    lifetimes = finite_lifetimes(diagram)\n",
    "    return float(np.sum(lifetimes**power)) if lifetimes.size else 0.0\n",
    "\n",
    "\n",
    "def n_persistent_features(diagram: Diagram, threshold: float) -> int:\n",
    "    \"\"\"Count features whose lifetimes exceed a chosen persistence threshold.\"\"\"\n",
    "    lifetimes = finite_lifetimes(diagram)\n",
    "    return int(np.sum(lifetimes >= threshold))\n",
    "\n",
    "\n",
    "def summarize_diagram(diagram: Diagram, dim: int, threshold: float = 0.5) -> dict[str, float]:\n",
    "    \"\"\"Convert one persistence diagram into scalar discrepancy statistics.\"\"\"\n",
    "    prefix = f\"h{dim}\"\n",
    "    return {\n",
    "        f\"{prefix}_n_finite_features\": float(finite_lifetimes(diagram).size),\n",
    "        f\"{prefix}_max_persistence\": max_persistence(diagram),\n",
    "        f\"{prefix}_second_max_persistence\": second_max_persistence(diagram),\n",
    "        f\"{prefix}_persistence_gap\": persistence_gap(diagram),\n",
    "        f\"{prefix}_total_persistence_p1\": total_persistence(diagram, power=1.0),\n",
    "        f\"{prefix}_total_persistence_p2\": total_persistence(diagram, power=2.0),\n",
    "        f\"{prefix}_n_features_ge_threshold\": float(n_persistent_features(diagram, threshold)),\n",
    "    }\n",
    "\n",
    "\n",
    "def smoothed_ppc_p_value(\n",
    "    obs_value: float, rep_values: Iterable[float], direction: str = \"greater\"\n",
    ") -> float:\n",
    "    \"\"\"Compute a conservative Monte Carlo posterior predictive p-value.\n",
    "\n",
    "    The +1 smoothing avoids returning exactly zero when the observed statistic\n",
    "    is more extreme than all finite posterior predictive draws.\n",
    "    \"\"\"\n",
    "    values = np.asarray(list(rep_values), dtype=float)\n",
    "    p_greater = (1.0 + np.sum(values >= obs_value)) / (values.size + 1.0)\n",
    "    p_less = (1.0 + np.sum(values <= obs_value)) / (values.size + 1.0)\n",
    "    if direction == \"greater\":\n",
    "        return float(p_greater)\n",
    "    if direction == \"less\":\n",
    "        return float(p_less)\n",
    "    if direction == \"two-sided\":\n",
    "        return float(min(1.0, 2.0 * min(p_greater, p_less)))\n",
    "    raise ValueError(f\"unknown direction: {direction}\")\n",
    "\n",
    "\n",
    "def ordinary_embedding_table(\n",
    "    observed_embedding: np.ndarray, replicated_embeddings: np.ndarray\n",
    ") -> pd.DataFrame:\n",
    "    \"\"\"Compare mean and covariance summaries of observed and replicated embeddings.\"\"\"\n",
    "\n",
    "    def summarize(X: np.ndarray) -> dict[str, float]:\n",
    "        mean = X.mean(axis=0)\n",
    "        cov = np.cov(X.T)\n",
    "        eigvals = np.linalg.eigvalsh(cov)\n",
    "        return {\n",
    "            \"mean_x\": float(mean[0]),\n",
    "            \"mean_y\": float(mean[1]),\n",
    "            \"cov_xx\": float(cov[0, 0]),\n",
    "            \"cov_yy\": float(cov[1, 1]),\n",
    "            \"cov_xy\": float(cov[0, 1]),\n",
    "            \"cov_eig_min\": float(eigvals[0]),\n",
    "            \"cov_eig_max\": float(eigvals[-1]),\n",
    "        }\n",
    "\n",
    "    obs_summary = summarize(observed_embedding)\n",
    "    rep_summaries = pd.DataFrame([summarize(X) for X in replicated_embeddings])\n",
    "    rows = []\n",
    "    for metric, observed in obs_summary.items():\n",
    "        rep_values = rep_summaries[metric].to_numpy()\n",
    "        q05, q50, q95 = np.quantile(rep_values, [0.05, 0.50, 0.95])\n",
    "        rows.append(\n",
    "            {\n",
    "                \"metric\": metric,\n",
    "                \"observed\": observed,\n",
    "                \"rep_q05\": q05,\n",
    "                \"rep_q50\": q50,\n",
    "                \"rep_q95\": q95,\n",
    "                \"inside_90_interval\": bool(q05 <= observed <= q95),\n",
    "            }\n",
    "        )\n",
    "    return pd.DataFrame(rows)\n",
    "\n",
    "\n",
    "def topological_table(\n",
    "    obs_diagrams: Diagrams, rep_diagrams: list[Diagrams], h1_threshold: float = 0.5\n",
    ") -> pd.DataFrame:\n",
    "    \"\"\"Compare observed topological summaries to posterior predictive summaries.\"\"\"\n",
    "    obs_summary = {}\n",
    "    for dim in [0, 1]:\n",
    "        obs_summary.update(summarize_diagram(obs_diagrams[dim], dim=dim, threshold=h1_threshold))\n",
    "\n",
    "    rep_rows = []\n",
    "    for diagrams in rep_diagrams:\n",
    "        row = {}\n",
    "        for dim in [0, 1]:\n",
    "            row.update(summarize_diagram(diagrams[dim], dim=dim, threshold=h1_threshold))\n",
    "        rep_rows.append(row)\n",
    "    rep_summary = pd.DataFrame(rep_rows)\n",
    "\n",
    "    rows = []\n",
    "    for metric, observed in obs_summary.items():\n",
    "        rep_values = rep_summary[metric].to_numpy(dtype=float)\n",
    "        q05, q50, q95 = np.quantile(rep_values, [0.05, 0.50, 0.95])\n",
    "        rows.append(\n",
    "            {\n",
    "                \"metric\": metric,\n",
    "                \"observed\": observed,\n",
    "                \"rep_q05\": q05,\n",
    "                \"rep_q50\": q50,\n",
    "                \"rep_q95\": q95,\n",
    "                \"p_high\": smoothed_ppc_p_value(observed, rep_values, \"greater\"),\n",
    "                \"p_low\": smoothed_ppc_p_value(observed, rep_values, \"less\"),\n",
    "                \"p_two_sided\": smoothed_ppc_p_value(observed, rep_values, \"two-sided\"),\n",
    "            }\n",
    "        )\n",
    "    return pd.DataFrame(rows)\n",
    "\n",
    "\n",
    "def run_topoppc(\n",
    "    name: str,\n",
    "    observed_embedding: np.ndarray,\n",
    "    replicated_embeddings: np.ndarray,\n",
    "    h1_threshold: float = 0.5,\n",
    ") -> TopoPPCResult:\n",
    "    \"\"\"Run ordinary and topological posterior predictive checks for embeddings.\"\"\"\n",
    "    obs_diagrams = compute_persistence_diagrams(observed_embedding, maxdim=1)\n",
    "    rep_diagrams = [compute_persistence_diagrams(X, maxdim=1) for X in replicated_embeddings]\n",
    "    return TopoPPCResult(\n",
    "        name=name,\n",
    "        observed_embedding=observed_embedding,\n",
    "        replicated_embeddings=replicated_embeddings,\n",
    "        obs_diagrams=obs_diagrams,\n",
    "        rep_diagrams=rep_diagrams,\n",
    "        ordinary_table=ordinary_embedding_table(observed_embedding, replicated_embeddings),\n",
    "        topo_table=topological_table(obs_diagrams, rep_diagrams, h1_threshold=h1_threshold),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "19c70b59",
   "metadata": {
    "id": "19c70b59"
   },
   "outputs": [],
   "source": [
    "def plot_replicates(result: TopoPPCResult, rep_ids: tuple[int, ...] = (0, 1, 2)) -> None:\n",
    "    \"\"\"Plot the observed embedding next to a few posterior predictive embeddings.\"\"\"\n",
    "    fig, axes = plt.subplots(1, 1 + len(rep_ids), figsize=(14, 3.6), sharex=True, sharey=True)\n",
    "    axes[0].scatter(\n",
    "        result.observed_embedding[:, 0], result.observed_embedding[:, 1], s=13, alpha=0.8\n",
    "    )\n",
    "    axes[0].set_title(\"Observed\")\n",
    "    axes[0].set_aspect(\"equal\", adjustable=\"box\")\n",
    "    for ax, rep_id in zip(axes[1:], rep_ids):\n",
    "        X = result.replicated_embeddings[rep_id]\n",
    "        ax.scatter(X[:, 0], X[:, 1], s=13, alpha=0.8)\n",
    "        ax.set_title(f\"Replicate {rep_id}\")\n",
    "        ax.set_aspect(\"equal\", adjustable=\"box\")\n",
    "    for ax in axes:\n",
    "        ax.set_xlabel(\"$y_t$\")\n",
    "        ax.set_ylabel(f\"$y_{{t-{LAG}}}$\")\n",
    "    fig.suptitle(result.name, y=1.05)\n",
    "    plt.tight_layout()\n",
    "\n",
    "\n",
    "def plot_metric_histogram(result: TopoPPCResult, metric: str) -> None:\n",
    "    \"\"\"Plot the posterior predictive distribution of one topological statistic.\"\"\"\n",
    "    row = result.topo_table.query(\"metric == @metric\").iloc[0]\n",
    "    obs = float(row[\"observed\"])\n",
    "\n",
    "    # Recompute replicated scalar values from diagrams for plotting.\n",
    "    dim = int(metric[1])\n",
    "    values = []\n",
    "    for diagrams in result.rep_diagrams:\n",
    "        summary = summarize_diagram(diagrams[dim], dim=dim)\n",
    "        values.append(summary[metric])\n",
    "    values = np.asarray(values)\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(7.5, 4.5))\n",
    "    ax.hist(values, bins=25, alpha=0.75, label=\"posterior predictive replicas\")\n",
    "    ax.axvline(\n",
    "        obs,\n",
    "        lw=2.5,\n",
    "        label=f\"observed; p_high={row['p_high']:.3f}, p_low={row['p_low']:.3f}\",\n",
    "    )\n",
    "    ax.set(title=f\"{result.name}: PPC for {metric}\", xlabel=metric, ylabel=\"count\")\n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "\n",
    "\n",
    "def plot_h1_diagram(result: TopoPPCResult, rep_id: int = 0) -> None:\n",
    "    \"\"\"Plot finite H1 birth/death pairs for the observed data and one replicate.\"\"\"\n",
    "    obs = result.obs_diagrams[1]\n",
    "    rep = result.rep_diagrams[rep_id][1]\n",
    "    obs = obs[np.isfinite(obs[:, 1])] if obs.size else np.empty((0, 2))\n",
    "    rep = rep[np.isfinite(rep[:, 1])] if rep.size else np.empty((0, 2))\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(5.5, 5))\n",
    "    if rep.size:\n",
    "        ax.scatter(rep[:, 0], rep[:, 1], s=25, alpha=0.55, label=f\"replicate {rep_id}\")\n",
    "    if obs.size:\n",
    "        ax.scatter(obs[:, 0], obs[:, 1], s=35, alpha=0.85, label=\"observed\")\n",
    "    if obs.size or rep.size:\n",
    "        stacked = np.vstack([x for x in [obs, rep] if x.size])\n",
    "        hi = float(np.max(stacked[:, 1])) * 1.05\n",
    "    else:\n",
    "        hi = 1.0\n",
    "    ax.plot([0, hi], [0, hi], ls=\"--\", lw=1.5, label=\"death = birth\")\n",
    "    ax.set(xlabel=\"birth\", ylabel=\"death\", title=f\"{result.name}: finite H1 persistence diagram\")\n",
    "    ax.set_xlim(0, hi)\n",
    "    ax.set_ylim(0, hi)\n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "\n",
    "\n",
    "def display_selected_tables(result: TopoPPCResult) -> None:\n",
    "    \"\"\"Display compact ordinary and topological posterior predictive check tables.\"\"\"\n",
    "    selected_metrics = [\n",
    "        \"h1_max_persistence\",\n",
    "        \"h1_persistence_gap\",\n",
    "        \"h1_total_persistence_p2\",\n",
    "        \"h1_n_features_ge_threshold\",\n",
    "        \"h0_max_persistence\",\n",
    "    ]\n",
    "    print(\"Ordinary PPC table\")\n",
    "    display(result.ordinary_table)\n",
    "    print(\"Selected topological PPC table\")\n",
    "    display(result.topo_table[result.topo_table[\"metric\"].isin(selected_metrics)])\n",
    "\n",
    "\n",
    "def replace_inf_deaths(diagram: Diagram, max_eps: float) -> Diagram:\n",
    "    \"\"\"Replace infinite deaths by ``max_eps`` for bounded Betti-curve plotting.\"\"\"\n",
    "    if diagram is None or diagram.size == 0:\n",
    "        return np.empty((0, 2), dtype=float)\n",
    "    dgm = np.asarray(diagram, dtype=float).copy()\n",
    "    dgm[np.isinf(dgm[:, 1]), 1] = max_eps\n",
    "    return dgm\n",
    "\n",
    "\n",
    "def betti_curve(diagram: Diagram, eps_grid: np.ndarray, max_eps: float) -> np.ndarray:\n",
    "    \"\"\"Compute a Betti curve from a persistence diagram over a grid of scales.\"\"\"\n",
    "    dgm = replace_inf_deaths(diagram, max_eps=max_eps)\n",
    "    if dgm.size == 0:\n",
    "        return np.zeros_like(eps_grid, dtype=float)\n",
    "\n",
    "    births = dgm[:, 0]\n",
    "    deaths = dgm[:, 1]\n",
    "    curve = np.zeros_like(eps_grid, dtype=float)\n",
    "    for i, eps in enumerate(eps_grid):\n",
    "        curve[i] = np.sum((births <= eps) & (eps < deaths))\n",
    "    return curve\n",
    "\n",
    "\n",
    "def betti_curves_for_result(\n",
    "    result: TopoPPCResult,\n",
    "    dim: int = 1,\n",
    "    n_grid: int = 200,\n",
    "    eps_max_quantile: float = 0.95,\n",
    ") -> tuple[np.ndarray, np.ndarray, np.ndarray]:\n",
    "    \"\"\"Return observed and replicated Betti curves for one homological dimension.\"\"\"\n",
    "    finite_deaths = []\n",
    "    for dgm in [result.obs_diagrams[dim]] + [dgms[dim] for dgms in result.rep_diagrams]:\n",
    "        if dgm.size:\n",
    "            finite_deaths.extend(dgm[np.isfinite(dgm[:, 1]), 1].tolist())\n",
    "\n",
    "    max_eps = float(np.quantile(finite_deaths, eps_max_quantile)) if finite_deaths else 1.0\n",
    "    max_eps = max(max_eps, 1e-8)\n",
    "    eps_grid = np.linspace(0.0, max_eps, n_grid)\n",
    "\n",
    "    obs_curve = betti_curve(result.obs_diagrams[dim], eps_grid, max_eps=max_eps)\n",
    "    rep_curves = np.vstack(\n",
    "        [betti_curve(dgms[dim], eps_grid, max_eps=max_eps) for dgms in result.rep_diagrams]\n",
    "    )\n",
    "    return eps_grid, obs_curve, rep_curves\n",
    "\n",
    "\n",
    "def plot_betti_envelope(result: TopoPPCResult, dim: int = 1) -> None:\n",
    "    \"\"\"Plot an observed Betti curve against its posterior predictive envelope.\"\"\"\n",
    "    eps_grid, obs_curve, rep_curves = betti_curves_for_result(result, dim=dim)\n",
    "\n",
    "    q05 = np.quantile(rep_curves, 0.05, axis=0)\n",
    "    q25 = np.quantile(rep_curves, 0.25, axis=0)\n",
    "    q50 = np.quantile(rep_curves, 0.50, axis=0)\n",
    "    q75 = np.quantile(rep_curves, 0.75, axis=0)\n",
    "    q95 = np.quantile(rep_curves, 0.95, axis=0)\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(8, 4.8))\n",
    "    ax.fill_between(eps_grid, q05, q95, alpha=0.20, label=\"posterior predictive 90% envelope\")\n",
    "    ax.fill_between(eps_grid, q25, q75, alpha=0.35, label=\"posterior predictive 50% envelope\")\n",
    "    ax.plot(eps_grid, q50, ls=\"--\", label=\"posterior predictive median\")\n",
    "    ax.plot(eps_grid, obs_curve, lw=2.5, label=\"observed\")\n",
    "    ax.set(\n",
    "        xlabel=\"filtration scale epsilon\",\n",
    "        ylabel=f\"Betti-{dim}\",\n",
    "        title=f\"{result.name}: Betti-{dim} posterior predictive envelope\",\n",
    "    )\n",
    "    ax.legend()\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a859f52",
   "metadata": {
    "id": "8a859f52"
   },
   "source": [
    "## Model 1: a Gaussian model on the delay embedding\n",
    "\n",
    "The first model treats the delay-embedded points as independent draws from a single bivariate normal distribution. This is deliberately misspecified: a Gaussian cloud can reproduce mean and covariance, but it cannot express the recurrent hole in the embedding.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1d306cb1",
   "metadata": {
    "id": "1d306cb1"
   },
   "outputs": [],
   "source": [
    "coords_bad = {\n",
    "    \"obs_id\": np.arange(observed_embedding.shape[0]),\n",
    "    \"coord\": [\"y_t\", f\"y_t_minus_{LAG}\"],\n",
    "}\n",
    "\n",
    "with pm.Model(coords=coords_bad) as gaussian_embedding_model:\n",
    "    mu = pm.Normal(\"mu\", mu=0.0, sigma=2.0, dims=\"coord\")\n",
    "    chol, corr, stds = pm.LKJCholeskyCov(\n",
    "        \"chol_cov\",\n",
    "        n=2,\n",
    "        eta=2.0,\n",
    "        sd_dist=pm.Exponential.dist(1.0),\n",
    "        compute_corr=True,\n",
    "    )\n",
    "    x = pm.MvNormal(\"x\", mu=mu, chol=chol, observed=observed_embedding, dims=(\"obs_id\", \"coord\"))\n",
    "\n",
    "    idata_bad = pm.sample(\n",
    "        draws=400,\n",
    "        tune=400,\n",
    "        chains=2,\n",
    "        cores=1,\n",
    "        target_accept=0.9,\n",
    "        random_seed=RANDOM_SEED,\n",
    "        progressbar=False,\n",
    "    )\n",
    "    ppc_bad = pm.sample_posterior_predictive(\n",
    "        idata_bad,\n",
    "        var_names=[\"x\"],\n",
    "        random_seed=RANDOM_SEED + 1,\n",
    "        progressbar=False,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bad-convergence-checks",
   "metadata": {
    "id": "bad-convergence-checks"
   },
   "outputs": [],
   "source": [
    "az.summary(idata_bad, var_names=[\"mu\", \"chol_cov_stds\"], round_to=2)\n",
    "\n",
    "rhat_bad = az.rhat(idata_bad, var_names=[\"mu\", \"chol_cov_stds\"]).to_array()\n",
    "assert float(rhat_bad.max()) < 1.03"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "60775b71",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "60775b71",
    "outputId": "2081d6d2-7bc1-4000-fc17-ff37ccdcef17"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Ordinary PPC table\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "        metric  observed   rep_q05   rep_q50   rep_q95  inside_90_interval\n",
       "0       mean_x -0.029305 -0.121837 -0.042997  0.066254                True\n",
       "1       mean_y  0.032757 -0.058779  0.037590  0.129806                True\n",
       "2       cov_xx  0.532998  0.461431  0.545668  0.659702                True\n",
       "3       cov_yy  0.525348  0.449583  0.523734  0.632085                True\n",
       "4       cov_xy  0.023766 -0.052610  0.021923  0.099306                True\n",
       "5  cov_eig_min  0.505101  0.402274  0.476335  0.565186                True\n",
       "6  cov_eig_max  0.553244  0.517281  0.596644  0.702918                True"
      ],
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       "      <th>metric</th>\n",
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       "      <td>-0.121837</td>\n",
       "      <td>-0.042997</td>\n",
       "      <td>0.066254</td>\n",
       "      <td>True</td>\n",
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       "      <th>1</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cov_yy</td>\n",
       "      <td>0.525348</td>\n",
       "      <td>0.449583</td>\n",
       "      <td>0.523734</td>\n",
       "      <td>0.632085</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>cov_xy</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
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       "      <th>6</th>\n",
       "      <td>cov_eig_max</td>\n",
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     "metadata": {}
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    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Selected topological PPC table\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "                        metric  observed   rep_q05   rep_q50   rep_q95  \\\n",
       "1           h0_max_persistence  0.214557  0.523941  0.756681  1.102609   \n",
       "8           h1_max_persistence  0.983425  0.145451  0.201963  0.273901   \n",
       "10          h1_persistence_gap  0.882811  0.001986  0.022538  0.101508   \n",
       "12     h1_total_persistence_p2  1.021367  0.203647  0.283310  0.386262   \n",
       "13  h1_n_features_ge_threshold  1.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "      p_high     p_low  p_two_sided  \n",
       "1   1.000000  0.009901     0.019802  \n",
       "8   0.009901  1.000000     0.019802  \n",
       "10  0.009901  1.000000     0.019802  \n",
       "12  0.009901  1.000000     0.019802  \n",
       "13  0.009901  1.000000     0.019802  "
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       "      <th>10</th>\n",
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       "      <th>12</th>\n",
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       "summary": "{\n  \"name\": \"plot_betti_envelope(bad_result, dim=1)\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"metric\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"h1_max_persistence\",\n          \"h1_n_features_ge_threshold\",\n          \"h1_persistence_gap\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"observed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.34284180514100093,\n        \"min\": 0.21455669403076172,\n        \"max\": 1.021366558116083,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9834249019622803,\n          1.0,\n          0.8828105032444\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q05\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.21448340962370233,\n        \"min\": 0.0,\n        \"max\": 0.523940896987915,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.14545051082968713,\n          0.0,\n          0.0019857481122016905\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q50\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3059166011257793,\n        \"min\": 0.0,\n        \"max\": 0.7566812336444855,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.20196281373500824,\n          0.0,\n          0.022538170218467712\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q95\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4345003112510935,\n        \"min\": 0.0,\n        \"max\": 1.102608609199524,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.27390071898698803,\n          0.0,\n          0.10150796622037886\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_high\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.44278573811877026,\n        \"min\": 0.009900990099009901,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.009900990099009901,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.44278573811877026,\n        \"min\": 0.009900990099009901,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1.0,\n          0.009900990099009901\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_two_sided\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.019801980198019802,\n        \"max\": 0.019801980198019802,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.019801980198019802\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x360 with 4 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 550x500 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 800x480 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "def posterior_predictive_embedding_array(\n",
    "    ppc,\n",
    "    var_name: str = \"x\",\n",
    "    n_rep: int = 100,\n",
    "    seed: int = RANDOM_SEED,\n",
    ") -> np.ndarray:\n",
    "    \"\"\"Extract a manageable subset of posterior predictive embedding replicas.\"\"\"\n",
    "    arr = ppc.posterior_predictive[var_name]\n",
    "    arr = arr.stack(sample=(\"chain\", \"draw\")).transpose(\"sample\", \"obs_id\", \"coord\").values\n",
    "    rng = np.random.default_rng(seed)\n",
    "    idx = rng.choice(arr.shape[0], size=min(n_rep, arr.shape[0]), replace=False)\n",
    "    return arr[idx]\n",
    "\n",
    "\n",
    "replicated_embeddings_bad = posterior_predictive_embedding_array(ppc_bad, var_name=\"x\", n_rep=100)\n",
    "bad_result = run_topoppc(\n",
    "    \"Gaussian embedding model\", observed_embedding, replicated_embeddings_bad, h1_threshold=0.5\n",
    ")\n",
    "\n",
    "display_selected_tables(bad_result)\n",
    "plot_replicates(bad_result)\n",
    "plot_metric_histogram(bad_result, \"h1_max_persistence\")\n",
    "plot_h1_diagram(bad_result, rep_id=0)\n",
    "plot_betti_envelope(bad_result, dim=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "396414c1",
   "metadata": {
    "id": "396414c1"
   },
   "source": [
    "The scalar diagnostic below is the primary decision statistic, but the Betti-1 envelope is also useful as a visual posterior predictive check. It shows how the number of active one-dimensional holes evolves over the filtration scale, while the maximum-persistence statistic focuses on the single most persistent loop.\n",
    "\n",
    "The Gaussian model usually passes the ordinary mean/covariance checks. But the topological check based on `h1_max_persistence` should fail: the observed delay embedding contains one persistent loop, while the Gaussian posterior predictive replicas contain only short-lived noisy cycles.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7149a3a1",
   "metadata": {
    "id": "7149a3a1"
   },
   "source": [
    "## Model 2: a revised Fourier seasonal model\n",
    "\n",
    "The topological failure suggests that the model is missing recurrence or periodic structure. We therefore fit a simple Fourier seasonal regression to the original time series, generate posterior predictive time series, and then delay-embed those posterior predictive samples.\n",
    "\n",
    "This is the key workflow step: the topology is not forced into the sampler. Instead, the topological posterior predictive check diagnoses a structural failure and motivates a better generative model.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "67d45a4d",
   "metadata": {
    "id": "67d45a4d"
   },
   "outputs": [],
   "source": [
    "def fourier_design(t: np.ndarray, period: int, harmonics: int = 2) -> np.ndarray:\n",
    "    \"\"\"Build an intercept plus sine/cosine Fourier design matrix.\"\"\"\n",
    "    t = np.asarray(t, dtype=float)\n",
    "    cols = [np.ones_like(t)]\n",
    "    for h in range(1, harmonics + 1):\n",
    "        cols.append(np.sin(2.0 * np.pi * h * t / period))\n",
    "        cols.append(np.cos(2.0 * np.pi * h * t / period))\n",
    "    return np.column_stack(cols)\n",
    "\n",
    "\n",
    "HARMONICS = 2\n",
    "time = np.arange(N_TIME)\n",
    "fourier_design_matrix = fourier_design(time, period=PERIOD, harmonics=HARMONICS)\n",
    "\n",
    "coords_good = {\n",
    "    \"time\": time,\n",
    "    \"coef\": [\"intercept\"]\n",
    "    + [f\"h{h}_{kind}\" for h in range(1, HARMONICS + 1) for kind in [\"sin\", \"cos\"]],\n",
    "}\n",
    "\n",
    "with pm.Model(coords=coords_good) as fourier_model:\n",
    "    beta = pm.Normal(\"beta\", mu=0.0, sigma=1.5, dims=\"coef\")\n",
    "    sigma = pm.HalfNormal(\"sigma\", sigma=0.5)\n",
    "    mu = pt.dot(fourier_design_matrix, beta)\n",
    "    y = pm.Normal(\"y\", mu=mu, sigma=sigma, observed=observed_series, dims=\"time\")\n",
    "\n",
    "    idata_good = pm.sample(\n",
    "        draws=400,\n",
    "        tune=400,\n",
    "        chains=2,\n",
    "        cores=1,\n",
    "        target_accept=0.9,\n",
    "        random_seed=RANDOM_SEED + 2,\n",
    "        progressbar=False,\n",
    "    )\n",
    "    ppc_good = pm.sample_posterior_predictive(\n",
    "        idata_good,\n",
    "        var_names=[\"y\"],\n",
    "        random_seed=RANDOM_SEED + 3,\n",
    "        progressbar=False,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "good-convergence-checks",
   "metadata": {
    "id": "good-convergence-checks"
   },
   "outputs": [],
   "source": [
    "az.summary(idata_good, var_names=[\"beta\", \"sigma\"], round_to=2)\n",
    "\n",
    "rhat_good = az.rhat(idata_good, var_names=[\"beta\", \"sigma\"]).to_array()\n",
    "assert float(rhat_good.max()) < 1.03"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1fe4ec88",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "1fe4ec88",
    "outputId": "96fdb8d8-d500-4e27-8ce5-c28cdfd8edce"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Ordinary PPC table\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "        metric  observed   rep_q05   rep_q50   rep_q95  inside_90_interval\n",
       "0       mean_x -0.029305 -0.047377 -0.027848 -0.009451                True\n",
       "1       mean_y  0.032757  0.014827  0.034417  0.053334                True\n",
       "2       cov_xx  0.532998  0.506676  0.535881  0.565044                True\n",
       "3       cov_yy  0.525348  0.499539  0.527085  0.559601                True\n",
       "4       cov_xy  0.023766  0.014404  0.023014  0.028887                True\n",
       "5  cov_eig_min  0.505101  0.479236  0.509354  0.542066                True\n",
       "6  cov_eig_max  0.553244  0.526374  0.552686  0.585372                True"
      ],
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       "      <td>-0.027848</td>\n",
       "      <td>-0.009451</td>\n",
       "      <td>True</td>\n",
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       "      <th>1</th>\n",
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       "      <th>3</th>\n",
       "      <td>cov_yy</td>\n",
       "      <td>0.525348</td>\n",
       "      <td>0.499539</td>\n",
       "      <td>0.527085</td>\n",
       "      <td>0.559601</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>cov_xy</td>\n",
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       "      <td>0.014404</td>\n",
       "      <td>0.023014</td>\n",
       "      <td>0.028887</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>cov_eig_min</td>\n",
       "      <td>0.505101</td>\n",
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     "metadata": {}
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     "text": [
      "Selected topological PPC table\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "                        metric  observed   rep_q05   rep_q50   rep_q95  \\\n",
       "1           h0_max_persistence  0.214557  0.207123  0.256732  0.368526   \n",
       "8           h1_max_persistence  0.983425  0.717392  0.919905  1.011457   \n",
       "10          h1_persistence_gap  0.882811  0.625601  0.821610  0.927079   \n",
       "12     h1_total_persistence_p2  1.021367  0.566306  0.901111  1.078509   \n",
       "13  h1_n_features_ge_threshold  1.000000  1.000000  1.000000  1.000000   \n",
       "\n",
       "      p_high     p_low  p_two_sided  \n",
       "1   0.910891  0.099010     0.198020  \n",
       "8   0.128713  0.881188     0.257426  \n",
       "10  0.188119  0.821782     0.376238  \n",
       "12  0.138614  0.871287     0.277228  \n",
       "13  1.000000  1.000000     1.000000  "
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       "      <th>10</th>\n",
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       "      <th>12</th>\n",
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       "summary": "{\n  \"name\": \"plot_betti_envelope(good_result, dim=1)\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"metric\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"h1_max_persistence\",\n          \"h1_n_features_ge_threshold\",\n          \"h1_persistence_gap\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"observed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.34284180514100093,\n        \"min\": 0.21455669403076172,\n        \"max\": 1.021366558116083,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9834249019622803,\n          1.0,\n          0.8828105032444\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q05\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.28601283871909017,\n        \"min\": 0.2071226179599762,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.7173916332423687,\n          1.0,\n          0.6256012849509716\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q50\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2992414660849488,\n        \"min\": 0.2567320764064789,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.9199045971035957,\n          1.0,\n          0.8216099701821804\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rep_q95\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.28933877638789995,\n        \"min\": 0.36852552741765976,\n        \"max\": 1.078509093623827,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1.0114568211138248,\n          1.0,\n          0.9270792812108993\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_high\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4418660024943947,\n        \"min\": 0.12871287128712872,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.12871287128712872,\n          1.0,\n          0.18811881188118812\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.36131153441250624,\n        \"min\": 0.09900990099009901,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.8811881188118812,\n          1.0,\n          0.8217821782178217\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"p_two_sided\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.32954088722539226,\n        \"min\": 0.19801980198019803,\n        \"max\": 1.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.25742574257425743,\n          1.0,\n          0.37623762376237624\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1400x360 with 4 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 750x450 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 550x500 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 800x480 with 1 Axes>"
      ],
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "def posterior_predictive_delay_embeddings(\n",
    "    ppc,\n",
    "    var_name: str = \"y\",\n",
    "    lag: int = LAG,\n",
    "    dim: int = DELAY_DIM,\n",
    "    n_rep: int = 100,\n",
    "    seed: int = RANDOM_SEED,\n",
    ") -> np.ndarray:\n",
    "    \"\"\"Delay-embed posterior predictive time series replicas.\"\"\"\n",
    "    arr = ppc.posterior_predictive[var_name]\n",
    "    arr = arr.stack(sample=(\"chain\", \"draw\")).transpose(\"sample\", \"time\").values\n",
    "    rng = np.random.default_rng(seed)\n",
    "    idx = rng.choice(arr.shape[0], size=min(n_rep, arr.shape[0]), replace=False)\n",
    "    return np.stack([delay_embedding(arr[i], lag=lag, dim=dim) for i in idx], axis=0)\n",
    "\n",
    "\n",
    "replicated_embeddings_good = posterior_predictive_delay_embeddings(\n",
    "    ppc_good, var_name=\"y\", n_rep=100\n",
    ")\n",
    "good_result = run_topoppc(\n",
    "    \"Fourier seasonal model\", observed_embedding, replicated_embeddings_good, h1_threshold=0.5\n",
    ")\n",
    "\n",
    "display_selected_tables(good_result)\n",
    "plot_replicates(good_result)\n",
    "plot_metric_histogram(good_result, \"h1_max_persistence\")\n",
    "plot_h1_diagram(good_result, rep_id=0)\n",
    "plot_betti_envelope(good_result, dim=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c08249d",
   "metadata": {
    "id": "8c08249d"
   },
   "source": [
    "After adding seasonal structure, the posterior predictive delay embeddings should now reproduce the observed loop. The `h1_max_persistence` value for the observed data should be typical under the revised model's posterior predictive distribution.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69be6550",
   "metadata": {
    "id": "69be6550"
   },
   "source": [
    "## Compare the two models through the topological posterior predictive check\n",
    "\n",
    "The table below compares the main topological discrepancy, `h1_max_persistence`, between the misspecified Gaussian embedding model and the revised Fourier seasonal model.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "93fb872c",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 112
    },
    "id": "93fb872c",
    "outputId": "9dd78daa-99ff-4870-e481-b579aff03503"
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                      model  observed   rep_q05   rep_q50   rep_q95    p_high  \\\n",
       "8  Gaussian embedding model  0.983425  0.145451  0.201963  0.273901  0.009901   \n",
       "8    Fourier seasonal model  0.983425  0.717392  0.919905  1.011457  0.128713   \n",
       "\n",
       "      p_low  p_two_sided  \n",
       "8  1.000000     0.019802  \n",
       "8  0.881188     0.257426  "
      ],
      "text/html": [
       "\n",
       "  <div id=\"df-e72ba529-6fa0-446b-afbe-e6cfd90eff1a\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>observed</th>\n",
       "      <th>rep_q05</th>\n",
       "      <th>rep_q50</th>\n",
       "      <th>rep_q95</th>\n",
       "      <th>p_high</th>\n",
       "      <th>p_low</th>\n",
       "      <th>p_two_sided</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Gaussian embedding model</td>\n",
       "      <td>0.983425</td>\n",
       "      <td>0.145451</td>\n",
       "      <td>0.201963</td>\n",
       "      <td>0.273901</td>\n",
       "      <td>0.009901</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.019802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fourier seasonal model</td>\n",
       "      <td>0.983425</td>\n",
       "      <td>0.717392</td>\n",
       "      <td>0.919905</td>\n",
       "      <td>1.011457</td>\n",
       "      <td>0.128713</td>\n",
       "      <td>0.881188</td>\n",
       "      <td>0.257426</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e72ba529-6fa0-446b-afbe-e6cfd90eff1a')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
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      }
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "source": [
    "def extract_metric(result: TopoPPCResult, metric: str) -> pd.Series:\n",
    "    \"\"\"Extract one discrepancy row and attach the model name.\"\"\"\n",
    "    row = result.topo_table.query(\"metric == @metric\").iloc[0].copy()\n",
    "    row[\"model\"] = result.name\n",
    "    return row\n",
    "\n",
    "\n",
    "comparison = pd.DataFrame(\n",
    "    [\n",
    "        extract_metric(bad_result, \"h1_max_persistence\"),\n",
    "        extract_metric(good_result, \"h1_max_persistence\"),\n",
    "    ]\n",
    ")[[\"model\", \"observed\", \"rep_q05\", \"rep_q50\", \"rep_q95\", \"p_high\", \"p_low\", \"p_two_sided\"]]\n",
    "comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec1dda2a",
   "metadata": {
    "id": "ec1dda2a"
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   "source": [
    "The intended interpretation is:\n",
    "\n",
    "- The Gaussian embedding model can pass ordinary moment-based posterior predictive checks but fails the topological posterior predictive check because it cannot reproduce the recurrent loop.\n",
    "- The Fourier seasonal model is structurally closer to the data-generating process and produces posterior predictive delay embeddings with similar H1 persistence to the observed embedding.\n",
    "\n",
    "This demonstrates how persistent homology can be used as a model criticism tool: it detects a missing global shape feature and suggests a direction for model revision.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d367c246",
   "metadata": {
    "id": "d367c246"
   },
   "source": [
    "## Discussion and limitations\n",
    "\n",
    "Topological posterior predictive checks should not replace ordinary posterior predictive checks. They answer a different question: whether the posterior predictive distribution reproduces the global shape of the observed data in a chosen representation. In this notebook, the representation is a delay-coordinate embedding of a time series.\n",
    "\n",
    "Several choices matter:\n",
    "\n",
    "- the data representation used before computing topology;\n",
    "- the filtration and persistent homology dimension;\n",
    "- the scalar topological summary used as a discrepancy;\n",
    "- the number of posterior predictive replicates;\n",
    "- whether the topological feature is scientifically meaningful rather than an artifact of preprocessing.\n",
    "\n",
    "The method is most useful when the scientific question involves recurrence, loops, disconnected components, branching structure, voids, or other global geometric features.\n",
    "\n",
    "A conservative way to phrase the contribution is:\n",
    "\n",
    "> Persistent homology summaries can be used as posterior predictive discrepancy statistics in Bayesian workflow, allowing model criticism for global shape features that ordinary scalar summaries may miss.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9a05d18",
   "metadata": {
    "id": "c9a05d18"
   },
   "source": [
    "## Appendix: why homology works for point clouds\n",
    "\n",
    "This section gives a compact mathematical view of the construction used above. It is not needed to use the diagnostic, but it explains why persistent homology is a natural source of discrepancy statistics.\n",
    "\n",
    "A **simplicial complex** is a shape built from vertices, edges, triangles, tetrahedra, and their higher-dimensional analogues. For a point cloud, the Vietoris--Rips construction builds such a complex at a distance scale $\\epsilon$: points become vertices, nearby pairs become edges, triples whose pairwise distances are small become filled triangles, and so on.\n",
    "\n",
    "For each dimension $k$, a **$k$-chain** is a formal sum of $k$-simplices. The **boundary operator** $\\partial_k$ maps each $k$-simplex to its oriented boundary. For example, the boundary of an edge is its two endpoints, and the boundary of a triangle is its three edges. A central identity is\n",
    "\n",
    "$$\n",
    "\\partial_k \\circ \\partial_{k+1} = 0,\n",
    "$$\n",
    "\n",
    "which says that the boundary of a boundary is empty.\n",
    "\n",
    "Homology compares two kinds of objects:\n",
    "\n",
    "- **cycles**, which have zero boundary and therefore look closed;\n",
    "- **boundaries**, which are cycles that bound a higher-dimensional filled object.\n",
    "\n",
    "The $k$-th homology group is\n",
    "\n",
    "$$\n",
    "H_k = \\ker(\\partial_k) / \\operatorname{im}(\\partial_{k+1}).\n",
    "$$\n",
    "\n",
    "Its rank is the **Betti number** $\\beta_k$. In the examples above, $\\beta_0$ counts connected components and $\\beta_1$ counts loops that have not yet been filled by triangles.\n",
    "\n",
    "Persistent homology repeats this calculation over a sequence of scales. A loop may be born when enough edges connect around a hole, and it may die when enough triangles fill the hole. Long persistence means that the feature is stable across scales, which is why maximum H1 persistence is a useful statistic for detecting the recurrent loop in the delay embedding.\n",
    "\n",
    "In practice, this notebook delegates the matrix-reduction algorithm to `ripser`. The Bayesian workflow only needs the resulting diagrams and their scalar summaries, which can be compared to posterior predictive replicas like any other discrepancy statistic."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "authors",
   "metadata": {
    "id": "authors"
   },
   "source": [
    "## Authors\n",
    "\n",
    "* Authored by Guillaume Sidoine in May, 2026 ([pymc-examples#881](https://github.com/pymc-devs/pymc-examples/pull/881))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "references",
   "metadata": {
    "id": "references"
   },
   "source": [
    "## References\n",
    "\n",
    ":::{bibliography}\n",
    ":filter: docname in docnames\n",
    ":::\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "watermark-title",
   "metadata": {
    "id": "watermark-title"
   },
   "source": [
    "## Watermark\n"
   ]
  },
  {
   "cell_type": "code",
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p pytensor,xarray"
   ],
   "metadata": {
    "id": "EQd45YcPlenk",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "outputId": "7108f9c5-b3eb-4a1a-fea4-9cde97c69289"
   },
   "id": "EQd45YcPlenk",
   "execution_count": 14,
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Last updated: Sun, 21 Jun 2026\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.12.13\n",
      "IPython version      : 7.34.0\n",
      "\n",
      "pytensor: 2.38.3\n",
      "xarray  : 2025.12.0\n",
      "\n",
      "arviz     : 0.22.0\n",
      "matplotlib: 3.10.0\n",
      "numpy     : 2.0.2\n",
      "pandas    : 2.2.2\n",
      "pymc      : 5.28.5\n",
      "pytensor  : 2.38.3\n",
      "ripser    : 0.6.15\n",
      "\n",
      "Watermark: 2.6.0\n",
      "\n"
     ]
    }
   ]
  },
  {
   "cell_type": "markdown",
   "id": "page-footer",
   "metadata": {
    "id": "page-footer"
   },
   "source": [
    ":::{include} ../page_footer.md\n",
    ":::\n"
   ]
  }
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   "extra_install_notes": "`ripser` is used to compute Vietoris--Rips persistent homology for the topological posterior predictive checks.",
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