examples/sampling/first-example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sampling: First example\n",
    "\n",
    "This example shows you how to perform Bayesian inference on a time series model, using [Adaptive Covariance MCMC](http://pints.readthedocs.io/en/latest/mcmc_samplers/adaptive_covariance_mcmc.html).\n",
    "\n",
    "It follows on from [Optimisation: First example](../optimisation/first-example.ipynb).\n",
    "\n",
    "Like in the optimisation example, we start by importing the `pints` module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the Optimisation example we optimised an `ErrorMeasure`, but for sampling we'll almost always want to use a [LogPDF](https://pints.readthedocs.io/en/stable/log_pdfs.html#pints.LogPDF).\n",
    "This is a class with two main methods: `n_parameters` to return the dimensionality of the problem, and `__call__` which takes a parameter vector as input and returns a scalar log probability density.\n",
    "As an example, we'll implement a normal function with $\\mu=0$ and $\\sigma=1$:\n",
    "\n",
    "\\begin{align}\n",
    "\\text{pdf} &= \\frac{1}{\\sigma \\sqrt{2\\pi}} \\exp \\left( \\frac{-1}{2}\\frac{(x - \\mu)^2}{\\sigma^2} \\right) \n",
    "            = \\frac{1}{\\sqrt{2\\pi}} \\exp(-x^2/2) \\\\\n",
    "\\text{log pdf} &= -\\frac{1}{2}\\log(2\\pi) - \\frac{1}{2} x^2\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-1.4189385332046727\n",
      "-0.9239385332046727\n",
      "-0.9189385332046727\n",
      "-0.9239385332046727\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "class NormalLogPDF(pints.LogPDF):\n",
    "    \n",
    "    def __init__(self):\n",
    "        pass\n",
    "            \n",
    "    def n_parameters(self):\n",
    "        # Tell the inference method how many parameters there are\n",
    "        return 1\n",
    "\n",
    "    def __call__(self, p):\n",
    "        # Extract the parameter x from the parameter vector\n",
    "        x = p[0]\n",
    "        \n",
    "        # Calculate and return the log pdf\n",
    "        return -0.5 * np.log(2 * np.pi) -0.5 * x**2\n",
    "\n",
    "logpdf = NormalLogPDF()\n",
    "\n",
    "print(logpdf([-1]))\n",
    "print(logpdf([-0.1]))\n",
    "print(logpdf([0]))\n",
    "print(logpdf([0.1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can call on PINTS to run an MCMC routine that samples from this distribution.\n",
    "\n",
    "To do so, we need to specify\n",
    "\n",
    "- The number of Markov chains we want to generate. We'll pick 3.\n",
    "- A starting point (as a vector) for each chain. We'll use [1], [2], and [3]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using Haario-Bardenet adaptive covariance MCMC\n",
      "Generating 3 chains.\n",
      "Running in sequential mode.\n",
      "Iter. Eval. Accept.   Accept.   Accept.   Time    \n",
      "0     3      0         0         0          0:00.0\n",
      "1     6      0.5       0.5       0          0:00.0\n",
      "2     9      0.667     0.333     0.333      0:00.0\n",
      "3     12     0.75      0.5       0.5        0:00.0\n",
      "20    63     0.952381  0.81      0.762      0:00.0\n",
      "40    123    0.976     0.854     0.804878   0:00.0\n",
      "60    183    0.951     0.869     0.869      0:00.0\n",
      "80    243    0.962963  0.901     0.889      0:00.0\n",
      "100   303    0.970297  0.921     0.891      0:00.0\n",
      "120   363    0.967     0.926     0.892562   0:00.0\n",
      "140   423    0.972     0.929078  0.908      0:00.0\n",
      "160   483    0.975     0.938     0.919      0:00.0\n",
      "180   543    0.978     0.945     0.928      0:00.1\n",
      "Initial phase completed.\n",
      "200   603    0.98      0.95      0.935      0:00.1\n",
      "220   663    0.946     0.918552  0.9        0:00.1\n",
      "240   723    0.896     0.888     0.855      0:00.1\n",
      "260   783    0.862069  0.831     0.828      0:00.1\n",
      "280   843    0.815     0.794     0.786      0:00.1\n",
      "300   903    0.777     0.754     0.757      0:00.1\n",
      "320   963    0.751     0.735     0.738      0:00.1\n",
      "340   1023   0.727     0.716     0.707      0:00.1\n",
      "360   1083   0.693     0.679     0.693      0:00.1\n",
      "380   1143   0.664042  0.656168  0.671916   0:00.1\n",
      "400   1203   0.641     0.631     0.643      0:00.1\n",
      "420   1263   0.629     0.61      0.618      0:00.1\n",
      "440   1323   0.605     0.59      0.603      0:00.1\n",
      "460   1383   0.597     0.577     0.597      0:00.1\n",
      "480   1443   0.582     0.563     0.588      0:00.1\n",
      "500   1503   0.567     0.549     0.571      0:00.1\n",
      "520   1563   0.555     0.539     0.551      0:00.1\n",
      "540   1623   0.543     0.532     0.54       0:00.2\n",
      "560   1683   0.526     0.516934  0.533      0:00.2\n",
      "580   1743   0.516     0.509     0.52       0:00.2\n",
      "600   1803   0.512     0.502     0.511      0:00.2\n",
      "620   1863   0.501     0.498     0.498      0:00.2\n",
      "640   1923   0.491     0.49      0.487      0:00.2\n",
      "660   1983   0.489     0.48      0.478      0:00.2\n",
      "680   2043   0.48      0.473     0.476      0:00.2\n",
      "700   2103   0.472     0.464     0.466      0:00.2\n",
      "720   2163   0.463     0.456     0.46       0:00.2\n",
      "740   2223   0.457     0.448     0.455      0:00.2\n",
      "760   2283   0.448     0.439     0.447      0:00.2\n",
      "780   2343   0.437     0.433     0.444      0:00.2\n",
      "800   2403   0.431     0.424     0.437      0:00.2\n",
      "820   2463   0.424     0.423     0.432      0:00.2\n",
      "840   2523   0.417     0.415     0.429      0:00.2\n",
      "860   2583   0.416     0.415     0.424      0:00.2\n",
      "880   2643   0.41      0.407     0.42       0:00.2\n",
      "900   2703   0.405     0.406     0.415      0:00.3\n",
      "920   2763   0.4       0.406     0.412595   0:00.3\n",
      "940   2823   0.394     0.4       0.407      0:00.3\n",
      "960   2883   0.393     0.398     0.405      0:00.3\n",
      "980   2943   0.39      0.397     0.405      0:00.3\n",
      "1000  3003   0.39      0.395     0.4        0:00.3\n",
      "1020  3063   0.386     0.393     0.395      0:00.3\n",
      "1040  3123   0.385     0.391     0.395      0:00.3\n",
      "1060  3183   0.383     0.39      0.393      0:00.3\n",
      "1080  3243   0.379     0.389     0.389      0:00.3\n",
      "1100  3303   0.376     0.386     0.385      0:00.3\n",
      "1120  3363   0.371     0.384     0.382694   0:00.3\n",
      "1140  3423   0.369     0.38      0.381      0:00.3\n",
      "1160  3483   0.366     0.376     0.377261   0:00.3\n",
      "1180  3543   0.362     0.373     0.374      0:00.3\n",
      "1200  3603   0.36      0.372     0.373      0:00.3\n",
      "1220  3663   0.357     0.369     0.37       0:00.3\n",
      "1240  3723   0.353     0.368     0.365834   0:00.3\n",
      "1260  3783   0.351     0.366     0.362      0:00.3\n",
      "1280  3843   0.349     0.365     0.361      0:00.4\n",
      "1300  3903   0.347     0.364     0.363      0:00.4\n",
      "1320  3963   0.34595   0.363     0.362      0:00.4\n",
      "1340  4023   0.343     0.362     0.361      0:00.4\n",
      "1360  4083   0.344     0.359     0.361      0:00.4\n",
      "1380  4143   0.342     0.358     0.358      0:00.4\n",
      "1400  4203   0.337616  0.356     0.354      0:00.4\n",
      "1420  4263   0.336     0.355     0.352      0:00.4\n",
      "1440  4323   0.333102  0.355     0.349      0:00.4\n",
      "1460  4383   0.332     0.354     0.348      0:00.4\n",
      "1480  4443   0.33      0.354     0.347      0:00.4\n",
      "1500  4503   0.328     0.352     0.343      0:00.4\n",
      "1520  4563   0.327     0.348     0.341      0:00.4\n",
      "1540  4623   0.327     0.346     0.33939    0:00.4\n",
      "1560  4683   0.327     0.342729  0.338      0:00.4\n",
      "1580  4743   0.326     0.340291  0.335      0:00.4\n",
      "1600  4803   0.322     0.34      0.335      0:00.4\n",
      "1620  4863   0.32      0.338     0.334      0:00.5\n",
      "1640  4923   0.318     0.335     0.334      0:00.5\n",
      "1660  4983   0.320289  0.337     0.334      0:00.5\n",
      "1680  5043   0.318     0.336     0.332      0:00.5\n",
      "1700  5103   0.315     0.334     0.329806   0:00.5\n",
      "1720  5163   0.31319   0.335     0.327      0:00.5\n",
      "1740  5223   0.315     0.334     0.327398   0:00.5\n",
      "1760  5283   0.316     0.334     0.325      0:00.5\n",
      "1780  5343   0.317     0.332959  0.324      0:00.5\n",
      "1800  5403   0.316     0.33      0.322      0:00.5\n",
      "1820  5463   0.316     0.328     0.319      0:00.5\n",
      "1840  5523   0.316     0.326     0.318      0:00.5\n",
      "1860  5583   0.313     0.325094  0.318      0:00.5\n",
      "1880  5643   0.313     0.325     0.317916   0:00.5\n",
      "1900  5703   0.312     0.324     0.317      0:00.5\n",
      "1920  5763   0.311     0.323     0.316      0:00.5\n",
      "1940  5823   0.309     0.323     0.315      0:00.5\n",
      "1960  5883   0.308     0.321     0.313      0:00.5\n",
      "1980  5943   0.308     0.32      0.312      0:00.5\n",
      "2000  6003   0.307     0.318     0.311      0:00.6\n",
      "2020  6063   0.305     0.316     0.31       0:00.6\n",
      "2040  6123   0.305     0.315     0.308      0:00.6\n",
      "2060  6183   0.306     0.312     0.308      0:00.6\n",
      "2080  6243   0.305     0.313     0.308025   0:00.6\n",
      "2100  6303   0.304     0.312     0.306      0:00.6\n",
      "2120  6363   0.304     0.311     0.305      0:00.6\n",
      "2140  6423   0.303     0.308     0.304      0:00.6\n",
      "2160  6483   0.302     0.308     0.303      0:00.6\n",
      "2180  6543   0.303072  0.307     0.301238   0:00.6\n",
      "2200  6603   0.302     0.306     0.3        0:00.6\n",
      "2220  6663   0.302     0.304     0.299      0:00.6\n",
      "2240  6723   0.3       0.302     0.299      0:00.6\n",
      "2260  6783   0.299425  0.3       0.298      0:00.6\n",
      "2280  6843   0.299     0.298     0.298      0:00.6\n",
      "2300  6903   0.298     0.297     0.297      0:00.6\n",
      "2320  6963   0.298     0.296     0.297      0:00.6\n",
      "2340  7023   0.297736  0.296     0.296      0:00.6\n",
      "2360  7083   0.296     0.296061  0.296      0:00.7\n",
      "2380  7143   0.295     0.296     0.295      0:00.7\n",
      "2400  7203   0.295     0.294     0.294      0:00.7\n",
      "2420  7263   0.294     0.293     0.294      0:00.7\n",
      "2440  7323   0.294     0.291     0.293      0:00.7\n",
      "2460  7383   0.293     0.292     0.292564   0:00.7\n",
      "2480  7443   0.293027  0.291     0.291      0:00.7\n",
      "2500  7503   0.292     0.291     0.291      0:00.7\n",
      "2520  7563   0.292741  0.290361  0.291551   0:00.7\n",
      "2540  7623   0.291     0.29      0.292      0:00.7\n",
      "2560  7683   0.290902  0.289     0.291      0:00.7\n",
      "2580  7743   0.29      0.29      0.291      0:00.7\n",
      "2600  7803   0.288     0.290273  0.290273   0:00.7\n",
      "2620  7863   0.289     0.289     0.29       0:00.7\n",
      "2640  7923   0.289     0.289     0.29       0:00.7\n",
      "2660  7983   0.287     0.287     0.289      0:00.7\n",
      "2680  8043   0.287     0.287     0.289      0:00.7\n",
      "2700  8103   0.286     0.286     0.289      0:00.7\n",
      "2720  8163   0.284     0.286     0.288      0:00.7\n",
      "2740  8223   0.283     0.286     0.288      0:00.8\n",
      "2760  8283   0.283     0.284     0.288      0:00.8\n",
      "2780  8343   0.281913  0.284     0.287      0:00.8\n",
      "2800  8403   0.281     0.283     0.285      0:00.8\n",
      "2820  8463   0.281106  0.283     0.285      0:00.8\n",
      "2840  8523   0.281239  0.283     0.285      0:00.8\n",
      "2860  8583   0.281     0.284     0.286      0:00.8\n",
      "2880  8643   0.281     0.285     0.285      0:00.8\n",
      "2900  8703   0.281     0.284     0.284      0:00.8\n",
      "2920  8763   0.282     0.284834  0.284      0:00.8\n",
      "2940  8823   0.28      0.285     0.283917   0:00.8\n",
      "2960  8883   0.28      0.285     0.284      0:00.8\n",
      "2980  8943   0.28      0.285     0.284      0:00.8\n",
      "3000  9003   0.281     0.284     0.285      0:00.8\n",
      "3020  9063   0.28      0.284     0.284      0:00.8\n",
      "3040  9123   0.28      0.284     0.283      0:00.8\n",
      "3060  9183   0.279     0.284     0.283      0:00.8\n",
      "3080  9243   0.279     0.283025  0.282      0:00.8\n",
      "3100  9303   0.279     0.282     0.282      0:00.8\n",
      "3120  9363   0.28      0.282     0.282      0:00.9\n",
      "3140  9423   0.282     0.281     0.282      0:00.9\n",
      "3160  9483   0.282     0.280291  0.281      0:00.9\n",
      "3180  9543   0.282     0.28      0.28       0:00.9\n",
      "3200  9603   0.282     0.281     0.279      0:00.9\n",
      "3220  9663   0.281     0.281     0.28       0:00.9\n",
      "3240  9723   0.280469  0.28      0.28       0:00.9\n",
      "3260  9783   0.281     0.28      0.28       0:00.9\n",
      "3280  9843   0.28      0.28      0.28       0:00.9\n",
      "3300  9903   0.28      0.279     0.28       0:00.9\n",
      "3320  9963   0.279     0.28      0.279      0:00.9\n",
      "3340  10023  0.278     0.28      0.278      0:00.9\n",
      "3360  10083  0.279     0.28      0.277      0:00.9\n",
      "3380  10143  0.279     0.28      0.277      0:00.9\n",
      "3400  10203  0.278     0.28      0.276      0:00.9\n",
      "3420  10263  0.279     0.279     0.276      0:00.9\n",
      "3440  10323  0.279     0.279     0.276      0:00.9\n",
      "3460  10383  0.278     0.279     0.275065   0:00.9\n",
      "3480  10443  0.279     0.28      0.275      0:00.9\n",
      "3500  10503  0.278     0.279     0.274      0:00.9\n",
      "3520  10563  0.277194  0.278898  0.273      0:01.0\n",
      "3540  10623  0.276758  0.279582  0.272      0:01.0\n",
      "3560  10683  0.276     0.279     0.272      0:01.0\n",
      "3580  10743  0.275     0.278     0.273      0:01.0\n",
      "3600  10803  0.274     0.277     0.272      0:01.0\n",
      "3620  10863  0.273     0.277     0.272      0:01.0\n",
      "3640  10923  0.272     0.276     0.272      0:01.0\n",
      "3660  10983  0.273     0.276     0.271      0:01.0\n",
      "3680  11043  0.272     0.277     0.270307   0:01.0\n",
      "3700  11103  0.272     0.276     0.269      0:01.0\n",
      "3720  11163  0.271     0.276     0.27       0:01.0\n",
      "3740  11223  0.271     0.276     0.269      0:01.0\n",
      "3760  11283  0.271     0.277     0.27       0:01.0\n",
      "3780  11343  0.271     0.277     0.268712   0:01.0\n",
      "3800  11403  0.27      0.27598   0.269      0:01.0\n",
      "3820  11463  0.27      0.275     0.268      0:01.0\n",
      "3840  11523  0.271     0.275     0.267899   0:01.0\n",
      "3860  11583  0.269     0.275     0.267      0:01.0\n",
      "3880  11643  0.27      0.275     0.266      0:01.0\n",
      "3900  11703  0.269     0.274     0.265      0:01.1\n",
      "3920  11763  0.269     0.274     0.264      0:01.1\n",
      "3940  11823  0.268     0.275     0.265      0:01.1\n",
      "3960  11883  0.268     0.274     0.265      0:01.1\n",
      "3980  11943  0.268     0.274     0.26526    0:01.1\n",
      "4000  12003  0.267     0.273     0.266      0:01.1\n",
      "4020  12063  0.266849  0.274     0.266      0:01.1\n",
      "4040  12123  0.267     0.274     0.266      0:01.1\n",
      "4060  12183  0.266     0.274     0.265      0:01.1\n",
      "4080  12243  0.266     0.274     0.264641   0:01.1\n",
      "4100  12303  0.267     0.274     0.265      0:01.1\n",
      "4120  12363  0.266     0.273     0.265      0:01.1\n",
      "4140  12423  0.266     0.273     0.266      0:01.1\n",
      "4160  12483  0.266     0.273     0.265      0:01.1\n",
      "4180  12543  0.266     0.272     0.265      0:01.1\n",
      "4200  12603  0.265651  0.271     0.264      0:01.1\n",
      "4220  12663  0.266     0.271     0.265      0:01.1\n",
      "4240  12723  0.265975  0.271     0.264      0:01.1\n",
      "4260  12783  0.265196  0.271     0.264      0:01.1\n",
      "4280  12843  0.265125  0.271     0.263957   0:01.1\n",
      "4300  12903  0.265     0.271     0.264      0:01.2\n",
      "4320  12963  0.265     0.271     0.263      0:01.2\n",
      "4340  13023  0.264     0.27      0.262      0:01.2\n",
      "4360  13083  0.265     0.27      0.262      0:01.2\n",
      "4380  13143  0.264     0.27      0.262      0:01.2\n",
      "4400  13203  0.263122  0.27      0.261      0:01.2\n",
      "4420  13263  0.264     0.27      0.261      0:01.2\n",
      "4440  13323  0.264     0.269     0.261      0:01.2\n",
      "4460  13383  0.264     0.269     0.261      0:01.2\n",
      "4480  13443  0.264     0.268     0.262      0:01.2\n",
      "4500  13503  0.264     0.268     0.262      0:01.2\n",
      "4520  13563  0.265     0.268     0.262      0:01.2\n",
      "4540  13623  0.264     0.268     0.261      0:01.2\n",
      "4560  13683  0.264     0.267     0.261      0:01.2\n",
      "4580  13743  0.265     0.267     0.261      0:01.2\n",
      "4600  13803  0.264     0.266     0.261      0:01.2\n",
      "4620  13863  0.264     0.266     0.261      0:01.2\n",
      "4640  13923  0.265     0.265     0.261      0:01.2\n",
      "4660  13983  0.264     0.265     0.261      0:01.3\n",
      "4680  14043  0.264     0.266     0.261      0:01.3\n",
      "4700  14103  0.264     0.265     0.261      0:01.3\n",
      "4720  14163  0.264     0.265     0.26       0:01.3\n",
      "4740  14223  0.264     0.266     0.26       0:01.3\n",
      "4760  14283  0.264     0.265     0.26       0:01.3\n",
      "4780  14343  0.264     0.265     0.26       0:01.3\n",
      "4800  14403  0.264     0.265     0.26       0:01.3\n",
      "4820  14463  0.263     0.265     0.259      0:01.3\n",
      "4840  14523  0.263     0.265     0.259      0:01.3\n",
      "4860  14583  0.263526  0.265     0.259      0:01.3\n",
      "4880  14643  0.263     0.266     0.258      0:01.3\n",
      "4900  14703  0.263     0.265     0.259      0:01.3\n",
      "4920  14763  0.263     0.266     0.258      0:01.3\n",
      "4940  14823  0.263     0.265     0.259      0:01.3\n",
      "4960  14883  0.262     0.265     0.26       0:01.3\n",
      "4980  14943  0.262     0.265007  0.26       0:01.3\n",
      "5000  15003  0.263     0.264947  0.259      0:01.4\n",
      "5020  15063  0.2619    0.265     0.26       0:01.4\n",
      "5040  15123  0.262     0.264     0.26       0:01.4\n",
      "5060  15183  0.262     0.263     0.26       0:01.4\n",
      "5080  15243  0.262     0.263     0.26       0:01.4\n",
      "5100  15303  0.262     0.263     0.259      0:01.4\n",
      "5120  15363  0.261     0.263     0.26       0:01.4\n",
      "5140  15423  0.261     0.262     0.26       0:01.4\n",
      "5160  15483  0.26      0.262546  0.26       0:01.4\n",
      "5180  15543  0.26      0.262     0.26       0:01.4\n",
      "5200  15603  0.259     0.262     0.259      0:01.4\n",
      "5220  15663  0.259     0.262     0.26       0:01.4\n",
      "5240  15723  0.259     0.262     0.259      0:01.4\n",
      "5260  15783  0.259     0.262     0.259      0:01.4\n",
      "5280  15843  0.259     0.262     0.259      0:01.4\n",
      "5300  15903  0.259     0.262     0.259385   0:01.4\n",
      "5320  15963  0.258     0.262     0.259      0:01.4\n",
      "5340  16023  0.258     0.261187  0.26       0:01.5\n",
      "5360  16083  0.258     0.261     0.259653   0:01.5\n",
      "5380  16143  0.258     0.260918  0.259      0:01.5\n",
      "5400  16203  0.257     0.261     0.259      0:01.5\n",
      "5420  16263  0.256     0.261     0.259      0:01.5\n",
      "5440  16323  0.256     0.261     0.259      0:01.5\n",
      "5460  16383  0.256     0.261     0.259      0:01.5\n",
      "5480  16443  0.257     0.261     0.26       0:01.5\n",
      "5500  16503  0.257226  0.261     0.259      0:01.5\n",
      "5520  16563  0.257     0.261     0.26       0:01.5\n",
      "5540  16623  0.257     0.261     0.26       0:01.5\n",
      "5560  16683  0.257148  0.261     0.26       0:01.5\n",
      "5580  16743  0.256764  0.26      0.259      0:01.5\n",
      "5600  16803  0.257     0.26      0.258      0:01.5\n",
      "5620  16863  0.257     0.26      0.259      0:01.5\n",
      "5640  16923  0.257     0.259     0.259      0:01.5\n",
      "5660  16983  0.257375  0.259     0.259      0:01.5\n",
      "5680  17043  0.257173  0.259     0.259      0:01.5\n",
      "5700  17103  0.257     0.259     0.258      0:01.6\n",
      "5720  17163  0.257     0.259     0.258      0:01.6\n",
      "5740  17223  0.257     0.259     0.258      0:01.6\n",
      "5760  17283  0.257     0.258     0.258      0:01.6\n",
      "5780  17343  0.256     0.258     0.257      0:01.6\n",
      "5800  17403  0.255     0.258     0.257      0:01.6\n",
      "5820  17463  0.255     0.258     0.258      0:01.6\n",
      "5840  17523  0.255     0.257     0.257      0:01.6\n",
      "5860  17583  0.255     0.257294  0.258      0:01.6\n",
      "5880  17643  0.254     0.257     0.258      0:01.6\n",
      "5900  17703  0.254     0.257     0.258      0:01.6\n",
      "5920  17763  0.25418   0.257     0.257389   0:01.6\n",
      "5940  17823  0.254166  0.256     0.257      0:01.6\n",
      "5960  17883  0.254     0.256     0.258      0:01.6\n",
      "5980  17943  0.253     0.256     0.258      0:01.6\n",
      "6000  18003  0.253791  0.255     0.258      0:01.6\n",
      "6020  18063  0.254     0.256     0.257      0:01.6\n",
      "6040  18123  0.254     0.256     0.257      0:01.6\n",
      "6060  18183  0.254     0.256     0.257      0:01.7\n",
      "6080  18243  0.254     0.256     0.257      0:01.7\n",
      "6100  18303  0.254     0.256     0.257      0:01.7\n",
      "6120  18363  0.254     0.256     0.256      0:01.7\n",
      "6140  18423  0.254     0.256     0.256      0:01.7\n",
      "6160  18483  0.254     0.255     0.256      0:01.7\n",
      "6180  18543  0.253     0.256     0.256      0:01.7\n",
      "6200  18603  0.254     0.256     0.256      0:01.7\n",
      "6220  18663  0.253014  0.256     0.256      0:01.7\n",
      "6240  18723  0.253     0.256     0.255568   0:01.7\n",
      "6260  18783  0.253     0.256     0.25571    0:01.7\n",
      "6280  18843  0.252     0.256     0.255      0:01.7\n",
      "6300  18903  0.252     0.257     0.255      0:01.7\n",
      "6320  18963  0.252     0.257     0.255      0:01.7\n",
      "6340  19023  0.252     0.257     0.254534   0:01.7\n",
      "6360  19083  0.251     0.257     0.255      0:01.7\n",
      "6380  19143  0.252     0.257     0.255      0:01.7\n",
      "6400  19203  0.252773  0.257     0.254      0:01.8\n",
      "6420  19263  0.252     0.256     0.255      0:01.8\n",
      "6440  19323  0.25229   0.256     0.255      0:01.8\n",
      "6460  19383  0.252     0.256     0.255      0:01.8\n",
      "6480  19443  0.252     0.256     0.255      0:01.8\n",
      "6500  19503  0.252     0.256     0.255      0:01.8\n",
      "6520  19563  0.252722  0.255789  0.254      0:01.8\n",
      "6540  19623  0.253     0.256     0.255      0:01.8\n",
      "6560  19683  0.253     0.256     0.255      0:01.8\n",
      "6580  19743  0.253     0.256     0.255      0:01.8\n",
      "6600  19803  0.252689  0.255     0.256      0:01.8\n",
      "6620  19863  0.253     0.256     0.255      0:01.8\n",
      "6640  19923  0.253     0.255     0.255      0:01.8\n",
      "6660  19983  0.253     0.255     0.255      0:01.8\n",
      "6680  20043  0.253     0.255351  0.254902   0:01.8\n",
      "6700  20103  0.253     0.256     0.255335   0:01.8\n",
      "6720  20163  0.254     0.256     0.255      0:01.8\n",
      "6740  20223  0.254     0.256     0.256      0:01.8\n",
      "6760  20283  0.254     0.255     0.256      0:01.8\n",
      "6780  20343  0.254     0.255     0.256      0:01.9\n",
      "6800  20403  0.254     0.255     0.255      0:01.9\n",
      "6820  20463  0.254     0.255     0.255      0:01.9\n",
      "6840  20523  0.254495  0.255     0.255      0:01.9\n",
      "6860  20583  0.254     0.255     0.255      0:01.9\n",
      "6880  20643  0.255     0.254     0.255      0:01.9\n",
      "6900  20703  0.255     0.254     0.255      0:01.9\n",
      "6920  20763  0.254732  0.254     0.255      0:01.9\n",
      "6940  20823  0.255     0.253     0.255      0:01.9\n",
      "6960  20883  0.255     0.253     0.255      0:01.9\n",
      "6980  20943  0.255     0.254     0.255      0:01.9\n",
      "7000  21003  0.255     0.254     0.255      0:01.9\n",
      "7020  21063  0.255     0.254     0.256      0:01.9\n",
      "7040  21123  0.255     0.254     0.255      0:01.9\n",
      "7060  21183  0.255     0.25393   0.255      0:01.9\n",
      "7080  21243  0.254     0.254     0.255      0:01.9\n",
      "7100  21303  0.254612  0.254     0.255      0:01.9\n",
      "7120  21363  0.254     0.254     0.255      0:01.9\n",
      "7140  21423  0.255     0.253746  0.255      0:01.9\n",
      "7160  21483  0.254     0.254     0.255      0:01.9\n",
      "7180  21543  0.255     0.254     0.255      0:02.0\n",
      "7200  21603  0.255     0.253437  0.255      0:02.0\n",
      "7220  21663  0.255     0.253     0.255      0:02.0\n",
      "7240  21723  0.255     0.253     0.255      0:02.0\n",
      "7260  21783  0.255     0.253     0.255      0:02.0\n",
      "7280  21843  0.256     0.252     0.255      0:02.0\n",
      "7300  21903  0.256     0.252     0.255      0:02.0\n",
      "7320  21963  0.256     0.252     0.255      0:02.0\n",
      "7340  22023  0.256     0.252     0.255      0:02.0\n",
      "7360  22083  0.256     0.252     0.255      0:02.0\n",
      "7380  22143  0.256     0.252     0.255      0:02.0\n",
      "7400  22203  0.256     0.251993  0.255      0:02.0\n",
      "7420  22263  0.256     0.252     0.255      0:02.0\n",
      "7440  22323  0.256     0.252     0.255      0:02.0\n",
      "7460  22383  0.256     0.252     0.254      0:02.0\n",
      "7480  22443  0.257     0.252     0.254      0:02.0\n",
      "7500  22503  0.257     0.252     0.254      0:02.0\n",
      "7520  22563  0.257     0.252     0.254      0:02.0\n",
      "7540  22623  0.256     0.251     0.253      0:02.0\n",
      "7560  22683  0.256     0.251     0.253      0:02.1\n",
      "7580  22743  0.256     0.251     0.254      0:02.1\n",
      "7600  22803  0.256     0.251     0.254      0:02.1\n",
      "7620  22863  0.256     0.251     0.254      0:02.1\n",
      "7640  22923  0.256     0.251     0.254      0:02.1\n",
      "7660  22983  0.256     0.251     0.254      0:02.1\n",
      "7680  23043  0.256     0.251     0.254      0:02.1\n",
      "7700  23103  0.256     0.251     0.254      0:02.1\n",
      "7720  23163  0.256     0.251     0.253      0:02.1\n",
      "7740  23223  0.256     0.251     0.253      0:02.1\n",
      "7760  23283  0.256     0.251     0.253      0:02.1\n",
      "7780  23343  0.256     0.251     0.253      0:02.1\n",
      "7800  23403  0.256     0.251     0.253      0:02.1\n",
      "7820  23463  0.256     0.251     0.252781   0:02.1\n",
      "7840  23523  0.256     0.251371  0.253      0:02.1\n",
      "7860  23583  0.256     0.252     0.252894   0:02.1\n",
      "7880  23643  0.256     0.251     0.253      0:02.1\n",
      "7900  23703  0.256     0.252     0.252      0:02.1\n",
      "7920  23763  0.255902  0.251     0.253      0:02.1\n",
      "7940  23823  0.256139  0.251     0.252      0:02.2\n",
      "7960  23883  0.256     0.251     0.252      0:02.2\n",
      "7980  23943  0.256     0.251     0.252      0:02.2\n",
      "8000  24003  0.255843  0.251     0.252      0:02.2\n",
      "8020  24063  0.256     0.251     0.252      0:02.2\n",
      "8040  24123  0.255     0.251     0.252      0:02.2\n",
      "8060  24183  0.256     0.251     0.252      0:02.2\n",
      "8080  24243  0.255     0.251     0.251949   0:02.2\n",
      "8100  24303  0.255     0.25      0.252      0:02.2\n",
      "8120  24363  0.255     0.251     0.253      0:02.2\n",
      "8140  24423  0.255     0.251     0.253      0:02.2\n",
      "8160  24483  0.255     0.251     0.25242    0:02.2\n",
      "8180  24543  0.254     0.251     0.252      0:02.2\n",
      "8200  24603  0.254     0.25      0.252      0:02.2\n",
      "8220  24663  0.254227  0.251     0.252      0:02.2\n",
      "8240  24723  0.254     0.251     0.252      0:02.2\n",
      "8260  24783  0.253     0.251     0.252      0:02.2\n",
      "8280  24843  0.254     0.251     0.252      0:02.2\n",
      "8300  24903  0.254     0.251295  0.251295   0:02.2\n",
      "8320  24963  0.254     0.251     0.252      0:02.2\n",
      "8340  25023  0.253     0.251     0.252      0:02.3\n",
      "8360  25083  0.253     0.251     0.252      0:02.3\n",
      "8380  25143  0.253     0.251     0.252      0:02.3\n",
      "8400  25203  0.252827  0.252     0.252      0:02.3\n",
      "8420  25263  0.253     0.252     0.251      0:02.3\n",
      "8440  25323  0.253     0.252     0.251      0:02.3\n",
      "8460  25383  0.252     0.251     0.251      0:02.3\n",
      "8480  25443  0.252     0.252     0.251      0:02.3\n",
      "8500  25503  0.252     0.252     0.250794   0:02.3\n",
      "8520  25563  0.252     0.252     0.251      0:02.3\n",
      "8540  25623  0.251844  0.251844  0.251      0:02.3\n",
      "8560  25683  0.252     0.252     0.251      0:02.3\n",
      "8580  25743  0.251     0.251     0.251      0:02.3\n",
      "8600  25803  0.251     0.251     0.251      0:02.3\n",
      "8620  25863  0.251247  0.251015  0.250899   0:02.3\n",
      "8640  25923  0.251     0.251     0.251      0:02.3\n",
      "8660  25983  0.251     0.251     0.25       0:02.3\n",
      "8680  26043  0.251     0.252     0.25       0:02.3\n",
      "8700  26103  0.251     0.252     0.25       0:02.3\n",
      "8720  26163  0.25      0.252     0.25       0:02.4\n",
      "8740  26223  0.25      0.251573  0.25       0:02.4\n",
      "8760  26283  0.25      0.251     0.25       0:02.4\n",
      "8780  26343  0.25      0.251     0.25       0:02.4\n",
      "8800  26403  0.25      0.251     0.249      0:02.4\n",
      "8820  26463  0.25      0.251     0.249      0:02.4\n",
      "8840  26523  0.25      0.251     0.249      0:02.4\n",
      "8860  26583  0.25      0.251     0.249      0:02.4\n",
      "8880  26643  0.249     0.251     0.249      0:02.4\n",
      "8900  26703  0.249     0.25      0.249      0:02.4\n",
      "8920  26763  0.249     0.25      0.249      0:02.4\n",
      "8940  26823  0.25      0.251     0.249      0:02.4\n",
      "8960  26883  0.249     0.251     0.249      0:02.4\n",
      "8980  26943  0.249     0.251     0.249      0:02.4\n",
      "9000  27003  0.249     0.250861  0.249      0:02.4\n",
      "9020  27063  0.249     0.251     0.249      0:02.4\n",
      "9040  27123  0.249     0.251     0.248      0:02.4\n",
      "9060  27183  0.249862  0.251     0.249      0:02.4\n",
      "9080  27243  0.25      0.251     0.248      0:02.4\n",
      "9100  27303  0.251     0.251     0.248      0:02.5\n",
      "9120  27363  0.251     0.251     0.248      0:02.5\n",
      "9140  27423  0.251     0.251     0.248      0:02.5\n",
      "9160  27483  0.251     0.25      0.248      0:02.5\n",
      "9180  27543  0.251     0.25      0.249      0:02.5\n",
      "9200  27603  0.25      0.251     0.249      0:02.5\n",
      "9220  27663  0.25      0.25      0.248      0:02.5\n",
      "9240  27723  0.25      0.250514  0.248      0:02.5\n",
      "9260  27783  0.250081  0.25      0.249      0:02.5\n",
      "9280  27843  0.25      0.250835  0.249      0:02.5\n",
      "9300  27903  0.25      0.251     0.248898   0:02.5\n",
      "9320  27963  0.25      0.251     0.249      0:02.5\n",
      "9340  28023  0.25      0.251     0.249      0:02.5\n",
      "9360  28083  0.25      0.251     0.249      0:02.5\n",
      "9380  28143  0.249     0.251     0.249      0:02.5\n",
      "9400  28203  0.249     0.251     0.249      0:02.5\n",
      "9420  28263  0.249     0.251     0.249      0:02.5\n",
      "9440  28323  0.25      0.251     0.249      0:02.5\n",
      "9460  28383  0.25      0.251     0.249      0:02.5\n",
      "9480  28443  0.25      0.25      0.249      0:02.6\n",
      "9500  28503  0.25      0.25      0.249      0:02.6\n",
      "9520  28563  0.25      0.25      0.249      0:02.6\n",
      "9540  28623  0.25      0.25      0.249      0:02.6\n",
      "9560  28683  0.25      0.250183  0.249      0:02.6\n",
      "9580  28743  0.25      0.25      0.249      0:02.6\n",
      "9600  28803  0.25      0.25      0.249      0:02.6\n",
      "9620  28863  0.25      0.25      0.249      0:02.6\n",
      "9640  28923  0.25      0.25      0.249      0:02.6\n",
      "9660  28983  0.25      0.25      0.249      0:02.6\n",
      "9680  29043  0.25      0.25      0.249561   0:02.6\n",
      "9700  29103  0.249665  0.25      0.249665   0:02.6\n",
      "9720  29163  0.249     0.25018   0.25       0:02.6\n",
      "9740  29223  0.249     0.251     0.25       0:02.6\n",
      "9760  29283  0.249     0.25      0.25       0:02.6\n",
      "9780  29343  0.249     0.25      0.249361   0:02.6\n",
      "9800  29403  0.249     0.25      0.249      0:02.6\n",
      "9820  29463  0.248549  0.25      0.24916    0:02.6\n",
      "9840  29523  0.248     0.25      0.249      0:02.6\n",
      "9860  29583  0.249     0.25      0.249      0:02.6\n",
      "9880  29643  0.248659  0.25      0.249      0:02.7\n",
      "9900  29703  0.249     0.25      0.249      0:02.7\n",
      "9920  29763  0.249     0.249874  0.248866   0:02.7\n",
      "9940  29823  0.249     0.25      0.249      0:02.7\n",
      "9960  29883  0.249     0.25      0.249      0:02.7\n",
      "9980  29943  0.249     0.25      0.249      0:02.7\n",
      "10000 30000  0.2493    0.2498    0.2488     0:02.7\n",
      "Halting: Maximum number of iterations (10000) reached.\n"
     ]
    }
   ],
   "source": [
    "n_chains = 3\n",
    "x0 = [[1], [2], [3]]\n",
    "chains = pints.mcmc_sample(logpdf, n_chains, x0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a result of the following shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 10000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(chains.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So 3 chains, each of 10000 samples long, where each sample is 1d.\n",
    "\n",
    "To see the distribution, we'll plot histograms of the final 9000 samples in each chain:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pints.plot\n",
    "\n",
    "pints.plot.histogram(chains[:, 1000:, :])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll now show how you can use PINTS to apply the same technique to a higher dimensional time-series model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inference on a time series model\n",
    "\n",
    "As in [Optimisation: First example](../optimisation/first-example.ipynb), we'll use a toy model:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pints.toy as toy\n",
    "model = toy.LogisticModel()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to generate some test data, we choose an arbitrary set of \"true\" parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "true_parameters = [0.015, 500]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And a number of time points at which to sample:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "times = np.linspace(0, 1000, 400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using these parameters and time points, we can now generate some toy data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "org_values = model.simulate(true_parameters, times)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "...and make it more realistic by adding Gaussian noise:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "noise = 25\n",
    "values = org_values + np.random.normal(0, noise, org_values.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use matplotlib (or any other plotting package) to look at the data we've created:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+0AAAGZCAYAAAD8a9DtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAADl8ElEQVR4nOzdd3hb9dXA8e/Vlrz3jJ04ibN3IIQwwt67ZbZAoYzSQilQ+tIWGqANq6xCW0bZK2WFsiGsQAiBDLJD4gzHceK9ZVv7vn9c3WtJHnGCHWecz/P4iSVdXV3JsqNzz/mdo6iqqiKEEEIIIYQQQoi9jmmgD0AIIYQQQgghhBBdk6BdCCGEEEIIIYTYS0nQLoQQQgghhBBC7KUkaBdCCCGEEEIIIfZSErQLIYQQQgghhBB7KQnahRBCCCGEEEKIvZQE7UIIIYQQQgghxF7KMtAHsDcIhULs2LGDhIQEFEUZ6MMRQgghhBBCCLGfU1WVlpYWcnNzMZm6z6dL0A7s2LGDQYMGDfRhCCGEEEIIIYQ4wGzbto38/Pxub5egHUhISIDwi5WYmDjQhyOEEEIIIYQQYj/X3NzMoEGDjHi0OxK0g1ESn5iYKEG7EEIIIYQQQog9ZmdLtKURnRBCCCGEEEIIsZeSoF0IIYQQQgghhNhLSdAuhBBCCCGEEELspWRN+y4IBoP4/f6BPgyxH7NarZjN5oE+DCGEEEIIIcReQoL2XlBVlcrKShobGwf6UMQBIDk5mezs7J02pBBCCCGEEELs/yRo7wU9YM/MzMTlckkwJfqFqqq0tbVRXV0NQE5OzkAfkhBCCCGEEGKASdC+E8Fg0AjY09LSBvpwxH7O6XQCUF1dTWZmppTKCyGEEEIIcYCTRnQ7oa9hd7lcA30o4gChv9ekf4IQQgghhBBCgvZekpJ4safIe00IIYQQQgihk6BdCCGEEEIIIYTYS0nQLnZq8ODBPPTQQ3vs8b744gsURZFu/UIIIYQQQogDngTt+6lLL70URVG4++67o65/6623drn8evHixVx55ZV9fIR9a+bMmVx//fUDfRhCCCGEEGIPUlWVQDA00IchRL+SoH0/5nA4uOeee2hoaPhR+8nIyJBGfEIIIYQQYq/zm1e+5/B7P8ftDQz0oQjRbyRo348de+yxZGdnc9ddd/W43RtvvMGYMWOw2+0MHjyY+++/P+r22PL4WbNmUVBQgN1uJzc3l+uuuw6AO+64g3HjxnXa/5QpU7jtttu6ffz333+f4uJinE4nRx11FKWlpVG319XVccEFF5Cfn4/L5WLcuHG88sorxu2XXnop8+fP5+GHH0ZRFBRFobS0lGAwyOWXX86QIUNwOp2MGDGChx9+uBevnBBCCCGE2Bd8ub6GiiYPW2paB/pQhOg3Mqd9F6mqSrs/OCCP7bSad6m03Ww2M3v2bC688EKuu+468vPzO22zdOlSzj33XGbNmsV5553HwoULueaaa0hLS+PSSy/ttP3rr7/Ogw8+yJw5cxgzZgyVlZWsWLECgMsuu4zbb7+dxYsXc9BBBwGwcuVKvv/+e1577bUuj3Hbtm2cffbZXH311fzqV79iyZIl3HjjjVHbeDwepkyZwh/+8AcSExN57733+PnPf05RURHTpk3j4YcfZsOGDYwdO5Y77rgDwtUBoVCI/Px8Xn31VdLT01m4cCFXXnklOTk5nHvuub1+HYUQQgghxN4nFFJx+7QM+0B9PhdiT5CgfRe1+4OMvu2jAXnstXecgMu2az+ys846i4kTJ/KXv/yFp556qtPtDzzwAMcccwy33norAMXFxaxdu5b77ruvy6C9rKyM7Oxsjj32WKxWKwUFBRx88MEA5Ofnc8IJJ/DMM88YQfszzzzDkUceSVFRUZfH9+9//5uioiIefPBBFEVhxIgRrFq1invuucfYJi8vj5tuusm4fO211/Lhhx/y2muvMW3aNJKSkrDZbLhcLrKzs43tzGYzt99+u3F5yJAhLFy4kFdffVWCdiGEEEKIfVyLN4Cqat97JGgX+zEpjz8A3HPPPTz33HOsXbu2023r1q1jxowZUdfNmDGDkpISgsHOf/x++tOf0t7eTlFREVdccQVz584lEOhYQ3TFFVfwyiuv4PF48Pv9vPTSS1x22WXdHtu6des45JBDoioIpk+fHrVNMBjkb3/7G+PHjyctLY34+Hg+/vhjysrKdvrcH3vsMaZOnUpGRgbx8fE8+eSTvbqfEEIIIYTYu7V4/Mb3kmkX+zPJtO8ip9XM2jtOGLDH3h1HHHEEJ5xwAn/84x87Zc9VVe1Ucq/qpyy7MGjQINavX8+8efP45JNPuOaaa7jvvvuYP38+VquV0047Dbvdzty5c7Hb7Xi9Xs4555xu99fTY+nuv/9+HnzwQR566CHGjRtHXFwc119/PT6fr8f7vfrqq/zud7/j/vvvZ/r06SQkJHDffffx7bff7vQxhRBCCCHE3q25vSNxJJl2sT+ToH0XKYqyyyXqe4O7776biRMnUlxcHHX96NGjWbBgQdR1CxcupLi4GLO565METqeT008/ndNPP51f//rXjBw5klWrVjF58mQsFguXXHIJzzzzDHa7nfPPP7/HzvOjR4/mrbfeirpu0aJFUZe/+uorzjjjDH72s58BEAqFKCkpYdSoUcY2NputU2XAV199xaGHHso111xjXLdp06YeXiUhhBBC7CnLtzUSZzMzPCthoA9ljymtbeW9VRVccuhg4u373ufJXdHU7uePb67izEl5HDc6q18eIzLTLkG72J9JefwBYty4cVx00UU88sgjUdffeOONfPrpp9x5551s2LCB5557jkcffTRqDXmkZ599lqeeeorVq1ezefNmXnjhBZxOJ4WFhcY2v/zlL/nss8/44IMPeiyNB7j66qvZtGkTN9xwA+vXr+fll1/m2Wefjdpm2LBhzJs3j4ULF7Ju3TquuuoqKisro7YZPHgw3377LaWlpdTW1hIKhRg2bBhLlizho48+YsOGDdx6660sXrx4N149IYQQQvSl+lYf5z72DRf9p/vqt0/XVXH6owsoqWrZo8fWn+6ft4H7PlrP/5ZvH+hD6XcLSmp5b1UFj35W0m+P0eyJzLTLrHax/5Kg/QBy5513dipHnzx5Mq+++ipz5sxh7Nix3Hbbbdxxxx1dNqEDSE5O5sknn2TGjBmMHz+eTz/9lHfeeYe0tDRjm+HDh3PooYcyYsQIpk2b1uMxFRQU8MYbb/DOO+8wYcIEHnvsMWbPnh21za233srkyZM54YQTmDlzJtnZ2Zx55plR29x0002YzWZGjx5NRkYGZWVlXH311Zx99tmcd955TJs2jbq6uqisuxBCCCEGxqYaN75giOoWL8FQ10vl5n6/nZXlTXy8tmqPH19/2VzjBqCi0TPQh9LvWsNd3bfWt/XbY8iadnGg2L/rcg5gsdlqgMLCQjyezv9JnHPOOT2uO4+cm37mmWd2CphjqapKVVUVV111Va+O9dRTT+XUU0+Nuu4Xv/iF8X1qamqnEvpYxcXFfPPNN52uf+aZZ3jmmWeirtvZ3HohhBBiIGysdnPz6yu49ujhHDUyc6APp19tiwjk2nwBEhzWTtu4vVrQ19Tu73Tbvqos/Lxr3d6BPpR+5w0H0Y1tfpra/SQ5O/+Md8f6yhYSnRZykpw0t0t5vDgwSKZd9Knq6moeeOABtm/fHhV4CyGEEKJnb6/YwbKyRl5fVj7Qh9LvttW3G9+3+7oOttzh0uemtv0jaG9q89MSfk4HQtAeWa6+rY+y7bVuL6c9soALn9SWVbRElMfvbZl2VVWNE09C/FiSaRd9Kisri/T0dJ544glSUlIG+nCEEEKIfcaW2lYAWg+AD/rbGiIz7d0E7eHXobG952kx+4rI51zj3j+eU08iM9/b6tsYm5f0o/dZUqUtq9hS24o/GKI5ojzeu5etab/tf2t45bsy3v/t4RQfQM0WRf+QoF30qd6McBNCCCFEZ1tqtfXObs8BELRHZF71tc+x9Czq/lIeH/mc6w6ETHugI2gv66NM+47GjgqNhjZfdKa9m5M/A2XJ1gYCIZVvNtXtNGhfs6OJZJeNvGRnnz3+C4u2Uuf28ttjhnca7yz2PRK0CyGEEEIMMFVVKa3VApsDoaS2vKEX5fF6pn0/KY+PzLTXur2oqrpfB1OR5fF91Yxue0TQXuf2RWXaI08S7A309fZ6BU13djS2c9Y/F5KX4uSzG4/sk/eENxBk1ttrCIZUjhudxZjcH1/lIAaWrGkXQgghhBhgNW6vEaTu70G7Pxiioqkj+OqqPF5VVWOZQHNMpl1VVd5ZsWOnwdDeJnIdv8cfonUvywz3tdjy+L4QmWmvb907Mu3b6tuoaelcOdHYpi2B2BSeGNCdVdubjJL/0rq+eZ221bcbUxm+2VTXJ/sUA0uCdiGEEEIcUCqa2nn0sxLqW/eedcVbajoC0P09aN/R2E7klLeugnZvIEQgvFFsefx3W+q59pXvufHV5f1/sH0oMtMOUNtFoLc/icy070p5fGT2PFZkpr3W7Y3uHh/Y82vam9r8HP/gl5zz74VR1/sCHSdldnZyaXPE7/7iLfV9clxl9R37XLRZgvb9gQTtQgghhDigPPHlZv7+8QZe+a5soA/FEPnBvtUb2K97xERmnAHa/Z1PUkRmUFt9QfzBjoBsQ7WWuVyzo7nbGe97o9jAdX/vIB9Zrr69oZ1AsOeg2u0NcOXzSxg/62M+XlPZ5TbbYzLtzRHvE88AZNrXV7XQ7g9SVt8WdXIp8vvtje09jqPbHJGJ/660b4L2rREZ+2+31O9TvyeiaxK0CyGEEOKAopfYVjd7BvpQDJFBuz+o4h2ArOGeEhu8dpVpj602iAyCysMZa28gZHw/kJo9fk75x1f88/ON3W4TCqnGOv70eBsAtft5B3lvRKAaCKlUNHX/+7a9sZ2f/HshH6+tAuCLDTWdtlFVNao8vs7to2WA17SXRvzebo/o0xD5flXV6CA61uaIfSzuh6C9xRNgzY6mPtmvGDgStAshhBDigKIHS3tTV/LNMSW0+/PYt9gy8a7WIsd20I9sRlcekanfUNXzeuE94fuyRtbsaObVJdu63abG7cUXCGFSYFx49Nl+n2mPGcHWU4n8Ta+u4IfKFiwmrQnb2h3Nnbapb/VF7bOu1Utz+8Cuad9SFxG0N0YG7dEnZDb3sK49cs371ro2qno4mfjmsnKm/nUeC0pqezwuvYdA+OXss3Xtb6/YwemPLuCY+7/g9EcXUNZHa/DFzknQLnZq8ODBPPTQQ/36GE888QSDBg3CZDL1+2P1xqWXXsqZZ5450IchhBCiH+jjtvamoD123ev+vK49tilZq7dzsNXijf7ZRP6sIoP+kuqWXj3m6u1N/PK5JZRU9W77XaGfYOnp/aQ/55wkJ9lJDjgggnbt56o3Q+8uaN9S28o3m+swKfD4z6cA8ENl56UPOxo9nS77IkruYzPtHn+QN5eV9+vv0tbIoD3ifRk78SD2pJyuvtVnbDs0Iw7CPRu6Ut7Qxp/fWk2t29fjCSIiuvUfWZwBwMI+Ctr/+dlGVpY3sammlZXlTXy8tutlDKLvSdC+n7r00ktRFIW777476vq33nprl0dJLF68mCuvvLKPj7BDc3Mzv/nNb/jDH/7A9u3b+/Wx+ktpaSmKorB8+b7VFEcIIfYHW2pbdynLtrdl2oMh1fjwr2fG9EDjozWVrK/s+0Czv3j8wZ2W4m4LlxHnp2gzqdu6WNMem2mPzFxGBv0lvcy0v/RtGZ+sq+K1peW92n5XuCOC9lA3a4f1Ew2DUp2kx9vhQAjaw0H0oBQXRATtsf0aXgsHoEcUZzBzRCYOqwmPP0RpXXSgu70xOuiPvb3dF53Z/8v/1nDDqyt4bmFpt8e4cFMtS35ESfqW2o5jisy0dwraa7oO2vUMfF6ykyPCAXZXJfKqqvLHuauNpSTfbanvtu9FKKQar/V5BxUY+/TvpKfAzqiqaixHOXhwKkCXXfNF/5CgfT/mcDi45557aGho+FH7ycjIwOVy9dlxxSorK8Pv93PKKaeQk5PT5WP5/XvHByshhBB7l3UVzRz19y+4oZedxD3+YFSQtTfY3tCOP6his5goSNX+D3R7AmysdnPVC0u55qWle/R4Wjx+3lhavlvlxr9/fSWn/GMBCzd1X75bHg4oRmYnQDdlza2+rte0u70BGiICot5m2vW10P0RZOiZdlXtaKD38ZpK7vnwB55bWMri0nqj+V5BqssI2uti1rS3+4L7dMMwtzfAB6sqjJ+nXspenBUP4dfksHs+4+KnvzPuEwiGeGOZdiLlvKmDMJsURmYnQhcl8tvDmfaMBO31K2+IbmgYuYa+1u1l7vfbw/eL3i7yeC99ZjEXPLmIyh7W23dHVdXoTHtj5zXtNosWam2p7frkkh7MF2XEGYFwZKb9+7IG/vzWKn753BK+3FCDzWLCYlKobPZ0ev66qhYPvkAIi0nh6JGZpListPmCXPXC0h91oqi5PWB0xJ8xLB0kaN+jJGjfjx177LFkZ2dz11139bjdG2+8wZgxY7Db7QwePJj7778/6vbY8vhZs2ZRUFCA3W4nNzeX6667zrjN5/Nx8803k5eXR1xcHNOmTeOLL77o9rGfffZZxo0bB0BRURGKolBaWsqsWbOYOHEiTz/9NEVFRdjtdlRVpampiSuvvJLMzEwSExM5+uijWbFiRdQ+33nnHaZMmYLD4aCoqIjbb7+dQKD70qhgMMgNN9xAcnIyaWlp3HzzzZ3OXn744YccdthhxjannnoqmzZtMm4fMmQIAJMmTUJRFGbOnAnhKoXjjjuO9PR0kpKSOPLII1m2bFmPPw8hhBC9p3/o/aGX2ejID61N7XtHCbq+LnZwmotEpxXCQaseBGypbcW3BxvTPfN1KTe+toLb31mzS/fb0djOeyt3ALChm59HqzdAXXjU3vAsLWjvshFdN2va9Sy7XjS4sdrdbXY7kh6U9WfQDtDY7sMbCPKbV77n319s4i9vr+Gnj33Dv7/QPjMMSnF1mWlfV9HMpDs/5s9vrf7RxxMIhvjru2t55buyPTqF4LEvNvGrl5bx0rdbIaI8vjj8c95U00p5QztfldQaJ86+KqmlqtlLapyNY0ZlATAqJxy0V8QE7eEgdXy4J4B+gsNq1t4M7RFB+0uLyozS+eZuTs7VhfsM+IMqL+/GJImaFm/UezeyEV1j+DH1/gXdlcfr69mL0uM4aIgWtK+vajHG3v3hjZW8uKiMT3+oBuC3xwxnfL62z2+7KaPXm9DlpTixWUz85bQx2MwmPvuhmhMf+qrHNfM9KQ9XOqTH2xiUqlXJ1Oyl1SJbalu54vklfPZD1UAfSp+RoH0/ZjabmT17No888gjl5V2Xgy1dupRzzz2X888/n1WrVjFr1ixuvfVWnn322S63f/3113nwwQd5/PHHKSkp4a233jKCboBf/OIXfP3118yZM4eVK1fy05/+lBNPPJGSkpIu93feeefxySefAPDdd99RUVHBoEGDANi4cSOvvvoqb7zxhlF2fsopp1BZWcn777/P0qVLmTx5Mscccwz19dofro8++oif/exnXHfddaxdu5bHH3+cZ599lr/97W/dvk73338/Tz/9NE899RQLFiygvr6euXPnRm3T2trKDTfcwOLFi/n0008xmUycddZZhEIh49gBPvnkEyoqKnjzzTcBaGlp4ZJLLuGrr75i0aJFDB8+nJNPPpmWln2n1FEIIfZmesDU2wxSZMfupnbfXjFabUv4g/uQ9DjibBYId3xubNOONaQS1TW7348nHGC8+f32XQpy/7t4mzF/vcXT9QkRPTuY5LSSFc6YdpVpb+mme7wetI/KTsRm0cqou8s4RtrRtPuZdlVVexzZ5Y5Yk9/Y5qfO7cMXCGE2KRw/OgubxWQElINSXaR10T3+pW+34vGH+N/y7T/6BM3i0gb+s2ALt7y5ikufWbzHsqHrwkG23iVez7QfPCQVp9VMRoLdyDxXhn8e+trsMyfmGbeNzk009qeqKt9sqqPF4zd+B8aFg1ZdRvgkSCCk4g+G8AaCvLBoq3F7d+/FyCZ2L39btsuvu/57oi9piXwfNoV/dyfkJ0P4fdHQ2nlawCYj0x5Peryd/BQnqgqry5to8fgpCY83/OPJI3nusoO5ZuZQI7jvbqa73hxOr9o5c1Ieb187g4JUF7VuLx+sqtil56nTewrkJjuNaoeBzrRvrWvlre+3GyfuPP4gs99fx/EPzmfe2iru/uCHveJvfF+wDPQB7JMePxLc1Xv+ceMz4ar5u3SXs846i4kTJ/KXv/yFp556qtPtDzzwAMcccwy33norAMXFxaxdu5b77ruPSy+9tNP2ZWVlZGdnc+yxx2K1WikoKODggw8GYNOmTbzyyiuUl5eTm5sLwE033cSHH37IM888w+zZszvtz+l0kpaWBuEy/OzsbOM2n8/HCy+8QEaGtsbns88+Y9WqVVRXV2O3a38s/v73v/PWW2/x+uuvc+WVV/K3v/2N//u//+OSSy6BcPb+zjvv5Oabb+Yvf/lLl6/RQw89xC233MI555wDwGOPPcZHH30UtY1+m+6pp54iMzOTtWvXMnbsWOMY09LSop7D0UcfHXW/xx9/nJSUFObPn8+pp57a5fEIIYToPb2MusUTwBsIYreYe9y+LiK49wdV2v1BXLaB/ThUGv6QPTgtzsjItXqD+CIaa5XVtzE4PW6PHI/+QdwXCPHioq387rjind4nEAzx38UdzbH0oNsXCPFVSQ0HD0klwWE1snw5SQ7jdW/z7XxNu5FpDwdGg9NdqOHAbkNVCwVp3S/jc3sDRuAWmxkMhlTu+fAHxuUlcdqE3E73/XZzHXe+t5YNVW7mXnMoY3KTOm0TnWn3Yw5HcWlxNp64eCrbG9t5aN4GSqrdHDY83XguteHX2R8M8d7KivBrEeT7sgamFaV1+3x2JvIEz/wNNVzy9He8/9vDd3t/vaWvo9Z/nnq5ekGqi0V/PAan1cypj3zFhio3FU0ehmUmsLhUW8J56oQcYz+jczrK459bWMqsd9YyY1iaEWSPyknEbFKMTHtGooMdxomCIB+vqYo6iRc5Fi5S5PKYWreXD1ZXcMbEvF4/Xz2jPS4viRXlTdS1+mj3BXHazEamPTfZQW6Sdnyba91MiUuN2sfmcNl8UbgJ3YT8ZMob2llR3gSKtuQiL9nJlUcMNe4zbUgqj8/f3O1M96312t+QwojfiZHZiZwxMZdHPtvIuordSxzpjfby9qKg/ebXV/LtlnrS4m0cPjyD/3y1mSe+3AzhJny3njpql3t57a0k07473NXQsmPPf+3miYJ77rmH5557jrVr13a6bd26dcyYMSPquhkzZlBSUkIw2Pms8k9/+lPa29spKiriiiuuYO7cuUbp+bJly1BVleLiYuLj442v+fPnG6XkkddfffXVPR53YWGhEQwTrgpwu92kpaVF7WfLli3G/pcuXcodd9wRdfsVV1xBRUUFbW2du5Y2NTVRUVHB9OnTjessFgtTp06N2m7Tpk1ceOGFFBUVkZiYaJTDl5X1XE5VXV3N1VdfTXFxMUlJSSQlJeF2u3d6PyGEEL0TWZ7a0LrzNeqxGfm9YV17udGkzEW8XQtk3V5/1NptvZHZ3z9az3WvfN9j5vfHivwg/uKirb16rM9+qKYyouxWL0l+Y1k5lz+3hEc+02aYN4QzkKlxNpw27QRLT3PaHVZT1P6M1yrFxfBMba30hi7Wta/d0cxL325FVVUjq0u4W3dkQ675G6p54svN/O29dZ32cfcHP3DeE4tYvb0ZXyDE8m2NXT73qKC9zWeU/6fGaRn1vGQn9/10Am/9egbp8XYjM9ziDeDxB/lyQ03Uz3rBxp7HecXaWO3m3Me/4dvNWodw/edwcDgju7aimfousrx9KbL5mT4NQG9E57CaSXJasVlMZCdpZdUVjR48/qDx+zg0Pd7Y18jsBBQFqlu83PvRegC+3ljH6nCDw/wUJykum7F9RnzH9x5/iE/DJdGHFGnPv7m7THtMMB/ZsO7D1ZX8/KlvqW7pvpRcX9YyYVAyceH3sr6kRT8xk+i0MiQckOtr9GvdXu54Zy3/W77dyIoPzdCev176vrK8kZXlTeH9R58omlKYiqJomf6ujm9rTKZdN7qbZQe9pT+33GSn8R6ub/P96AZ3uysQDLGiXPud1Jcm6Md42YwhPHfZwQzLTBiQY+sPkmnfHfGZ+9TjHnHEEZxwwgn88Y9/7JQ9V1W10xmonspIBg0axPr165k3bx6ffPIJ11xzDffddx/z588nFAphNptZunQpZnN0piM+XvtjFNldPTExscfjjouLziiEQiFycnK6XCOfnJxsbHP77bdz9tlnd9rG4XD0+Hg9Oe200xg0aBBPPvkkubm5hEIhxo4di8/X83+Cl156KTU1NTz00EMUFhZit9uZPn36Tu8nhBCidyLHOdW6vcY4re7UxjT/amr3kxMOJHrywjelLNpcz4PnTTTKePtKeUQ3db1TvNsbNEpsCWcx3d4Aj36uBb8ZCXZuPXV0nx6HTg8E7BYTda0+zv7XQqxmhV/MGMKZk7rOROplzskuK41tfiOzrQcQeu8BPXhMibMRZ+8haA/fPy/ZyaaaViNzqTd0y091keDQPsZu7KKD/A2vLueHyhajc3mk+lYfWYna+2TR5nrjOQdDqpElB/jfcq2RWZLTSlO7v1PjOF1k07zGNj+h8OeotIhgMlKi04LVrOAPqtS1+nhrudYHIDvRQWWzh69Karnx+BFd3rcr//lqM99tqef5RVuZVpRmrN8/eHAq2xva2d7YzqYaN6kxWd6+VOP24g2Xl7f5AgRDKv6g9jo4rB2fCXPDv58VTR2N1BLsFhKdHSFJnN3C4LQ4ttS20uYLGq+V/vE0P9lFWpzNCPgTHVaj47zHHzRO3k3IT2bR5vpuM+36iaDx+Ums2dHMsrJGdjS2k5vs5Jmvt/Dtlno+XVfNBQcXdHn/0lq9F0Uc+Sku1le1sL2xnWGZ8cbJwGSnlUOHpvP1xjoe+Wwjp03I5bpXvo8awea0mskOvx/Hh8vpV5Y3GX0b9Ot0SU4rI7MTWVfRzOItDZwyPifqdv3kSUFq9OdovVfA+qoWAsEQFvOu/R3Ty+PzkrWTJnq1Q+TvU2+0+4LUtXrJ7+J3U1fT4iUtzobJ1H2WfHNtq7EEQz/ppf990U+U7E8kaN8du1iivje4++67mThxIsXF0SVuo0ePZsGCBVHXLVy4kOLi4k6Bt87pdHL66adz+umn8+tf/5qRI0eyatUqJk2aRDAYpLq6msMP77oMa9iwYbv9HCZPnkxlZSUWi4XBgwd3u8369et7/ThJSUnk5OSwaNEijjjiCAACgYCxXh6grq6OdevW8fjjjxvPK/Y1s9m0/5hjqxO++uor/vWvf3HyyScDsG3bNmprd+0MuhBCiO61RQTtdb3IJnbKtEdkOBvbfJz5z6+ZOSKTWaePidru4U83Uuv2cumMwRw0uOfgp6sT4j1t2xG0u4gPB6JuT3SX9PL6dtZXdmTInlqwhWNGZXLo0PRePU5v+QIh43GvOLyIRz/faGTmHv18Y7dBu55FPHV8Di8uKjOymHrwUteqve76h+q0OBtOa/fl8Xp5fV6Ki001rcZ+OjLtHdm+2Ex7Y5vPaEy4ZkczqXHWqNtrWrxGkPFNOHgKqdqx6WW/qqoa76eZIzL43/Id3WarW2PWtOuZx9Q4e5fbK4pCWpydymYPW+tamReedT3r9DFc/eJSVpY30tTmJ8ll7fL+kVRV5asS7XOFnm3UM+1ZSQ6GZsZrQXu1e6fv2x9DPzlD+PWIrM7QqyUA46RaRVO78bPMS3F2+n0ZnZNorBn/zyUH8bv/Lqe+1UeczUyi06KdEAn3GEt0WnFazUbQrr9X9JGCzd00nNTfo0Mz4mlo87Gtvt0I2qvD1Sa1PZR/G8ta0l3kpTi1oD38MzCCdpeNyw8bwhtLy9lc28rpj35NWX0bDqsJq8lEizdAcVa8EZyOy09CUbSMsX5Ccnx+5yUZ04akakF7aX23QXthzJKRglQXcTYzrb4gW2pbjUaQvVUekWk3mRTS421UNXujfp9648oXlvD1xlo+v2kmhWmdg+slpfX85LFvuPTQwZ3+DkdaVd4xWlKv4NFP2KT04ndnXyPl8QeIcePGcdFFF/HII49EXX/jjTfy6aefcuedd7Jhwwaee+45Hn30UW666aYu9/Pss8/y1FNPsXr1ajZv3swLL7yA0+mksLCQ4uJiLrroIi6++GLefPNNtmzZwuLFi7nnnnt4//33f/RzOPbYY5k+fTpnnnkmH330EaWlpSxcuJA///nPLFmyBIDbbruN559/nlmzZrFmzRrWrVvHf//7X/785z93u9/f/va33H333cydO5cffviBa665hsbGjhK4lJQU0tLSeOKJJ9i4cSOfffYZN9xwQ9Q+MjMzcTqdfPjhh1RVVdHUpP0hGTZsGC+88ALr1q3j22+/5aKLLsLp3HlGRwghRO+0RmRp61t3vr4yNlsaWR6/YGMtpXVtvLNiR9Q2vkDICPZ3VmZc3eJhxt2fcc+HP/Tq+Jva/caH8/wUp1Ee3+oNGB9ECX8QXxtei6rHN79/bWVUaXZf0INri0nh+mOH8++LJnPnGdoH57K6ti5HkoVCqhHkjAgHAnqmXc9m6q+bkWl32XCFS4q7akQXmWknHIirqmo0ohuU6mJ4eJTY5prWqCrB7yPK2EuqWozGaDq9/L+p3R81Uz6y1LjVFzQak+ndz7trduiO6R5fF3FiojvpCdptD39Sgscfoig9jhPGZFGUEUdIhW82d3+C3x8MGce6pbbVKAnWT/7omfacRAdDwxlHvUt5f9EDRcInYbwRTd0clshMe7g8PiLT3lXGVS9tP3dqPkcWZ3D9scMh3LBNURTS4jtOiCQ4LEY2vz0qaHcZ13VVwq1vpzVF1ILOqmbtZ1wdPvHR3c88ctzb4LQ4432qz5LXm0gmu6w4rGbuOntc1Ot0xxlj+fLmo/jzKaP421kdDZ3j7RajVF4/vrF5nYN2/b2vn/jQNbb5jNL82PJ4k0lh5I8okdd7JegnQ3ZnXXsopLK4tJ6Q2v3Ejy/W10B4iUBPVkf87up/V4zlN67uf/f2VQMatM+aNQtFUaK+Ipt4qarKrFmzyM3Nxel0MnPmTNasiR4/4vV6ufbaa0lPTycuLo7TTz+9207pB7o777yzU+n75MmTefXVV5kzZw5jx47ltttu44477uiyCR3hMvQnn3ySGTNmMH78eD799FPeeecdo5ncM888w8UXX8yNN97IiBEjOP300/n222+NjvA/hqIovP/++xxxxBFcdtllFBcXc/7551NaWkpWljYm5IQTTuDdd99l3rx5HHTQQRxyyCE88MADFBYWdrvfG2+8kYsvvphLL72U6dOnk5CQwFlnnWXcbjKZmDNnDkuXLmXs2LH87ne/47777ovah8Vi4R//+AePP/44ubm5nHHGGQA8/fTTNDQ0MGnSJH7+859z3XXXkZk5QMsrhBBiPxQZtHZXvhyppzXtq7drH2TrWn1RmcLIEUlddYCOtHhLAzuaPLy9fEeP2+n0wCUjwY7Dao5Y0x4wPnyjB+3hbPYl0weTl+xke2M7H6yu7NXjdKWkqoUvN9REXVcdDlrS4+1YzCZOGpfDhdMKsZlN+IKhLrvY17f5CIRUFEULqojIYhqZdnfMh+q4jqC9Lfxaf1VSw+PzN6GqqlFyrgcITe1a5YF+kiYv2WkESm2+YNRr9f3WBuP7DdUtVDR2HbQv3lJP5DmIyOCjPny8DqvJOIZuy+Mj3oNNbX7jvj0G7eGgUx/bdeUR2tjbw8Pzr/XseVf++u5aDpn9KZ+uq4rartbtpd0XNDLt2UkOIwDUu5S/9O1Wbn59RZdBbOBHrE0ui5hX3urryLTbzKaoEmc9014ZFbR3TmZccHABb/xqOrPDAe3PphVyzznjuPsc7XLka5vo0DLthNe06++9vIj9dtVBXs/AJzosRqa4usWD29sxj7y2m993fdybSdFODuiPtb2hnVBIjTohADCtKI2fHaKV2Z82IZefTsknJc7GLw8v6hSUR2bWizLiSHR0zhrrVSaxAbN+wqowzUWcvXNB9agc7QTUzoL2N5eVs2hzRwm/xx80His3/HvX1TGEQiqvLtnG5m5OEm1vbDdK2rsL9ldu14LxnVVOrdne8RwaYoL2lB5+9/ZVA14eP2bMGGPkF+ExZbp7772XBx54gGeffZbi4mL++te/ctxxx7F+/XoSErQ33fXXX88777zDnDlzSEtL48Ybb+TUU0/tcl31gaSrkW2FhYV4PJ0bVpxzzjmduqNHKi3taMxx5plncuaZZ3a7rdVq5fbbb+f222/v9bFOnDix08mEWbNmMWvWrE7bJiQk8I9//IN//OMf3e7vhBNO4IQTTuj141ssFh566KGoWfSxjj322E6N/GKP+Ze//CW//OUvo66bNGkSixcvjrruJz/5Sa+PTQghRM8iM+2x69W7ogftaXE26lp9UUF7VNa12Wt0JI9ssFbf1vNj6NvuaGrHFwjtdP27ninTA5e4iKA9MtPe1O7nuy3ah+gphSkku6w89EkJ76+q4CdT8nf6vGO1+4Kc/8Qi6lp9vHnNoUwuSIGID9J6Fg3AbFIoSHOxsdrNltpWBsVk8PSTGmlxNqNBmB4kNbb7jOfj8QeNwLerRnR/mruasvo2phWlGZn2jqDdZ2TZM8MnOPTvq1u8lDe0Gx/Ul5Z1BO0bq90kO7Xr9RMPegf5yKAEMKoFiKg4SIuzkxYuc6/rppIjtnu8KVwKkdrNmnYignaAS6YXct5BWnLjsOEZPPfNVj5eW8WNx48wmtnpQiGVd1ZWEFK1RnmxP4vSulbjPZ6d5GCoRw/a3fgCIe58dy0ef4iTxuVw1IiOJMKHqyu5bs733PeT8bvUQV0XlWkP/6wB7Nbo939OOGjfEVEe31XQbjGbmFLYUc5vMimcd1DH2vLIoD3BYcEefj+0+jomBegnhtp8QVo8/k6vpR7cJzqtZCZqP4+qZq+RZaeH8nh9ykN+igubpePEjlbW3tHXIMlhgfB44FmnjuKkMVkcPDgFRQ2B/jEy5vPkxNw43l6mPYdJefEQiP2bo5LpAht+Gpvd4O843qWbKrDj49CCDPC3d9r/uEwbTjxsKq8CX0GXj7+9sY1bX11EgsPC1384GrMClfVtxNOGw2omxdQGnnYGufwk0EZTYy20a3HZVxtq+Ovryzh4cCr/uWRqp/2XbqslGS3D3lxfBW0JUberqJSXl5GKH9XdBq21nY4PVEIhlcodW0knhIKK2hIi1FyJua2GDEKkqw3QEn5Pxmd1lCftwwY8aLdYLFHZdZ2qqjz00EP86U9/MpqKPffcc2RlZfHyyy9z1VVX0dTUxFNPPcULL7zAscceC8CLL77IoEGD+OSTT7oN3LxeL15vxy9hc/PudVEUQgghxMCKDJh2pTx+aEY8da31RtCuqiqrt3cE7RVN7UbQHllevbNMu96pXFW1gFzPPHcntkS4u0w7EdnSUTmJjMxO4KFPSviqpIZmj7/LbFxP3vy+3MhkvbZkW0fQHg74MhOi12MPSY8zgvYjijOibtOD3cwEh9EcriUm0064hDU6065t6wuECARDxgmPrXWtHWvaw1k9f1BlfZX2YT8yUM1LcYaD9jbG5ScRDKksL+soq/X4Q3wfDuJH5SSworzJODHxTThoT7BbaPEGojPtER3g9YZy3WXaO8rjVdytrVjUAEm4yTE3Q3MFhAKgBiEU1L4PBZnu2s56ZTPTBidxy4RUlK1fQyjIkWYf5yato66ljeefXsG1Rw3FrGr3QQ1SWe/mRM8PmMwhLHVBzHUhrjQHcZhVQsEg/k+/5HpzFVZFJe2bJTh9Pv7PUoq5SaXm9bf5g7odxaKS+sWbUJIIagjUEEmbavkbbnI/d8LmZOP66C+1m+tDXL6tnvNtfhRUbF6V7NfjmWtrwqYAj8827l+kqnxga4aQimOjiWttQXIXO2CFGVAjAjT9+67+hV/4Apxl96Ggkvq5leO8fvz2EElvWvjOrh1H2r/tLDB5CdlVkp+0gBK937u8Ae60qzjmm0BVudEexPqdgmUJrLMHUVAxVQB3mlBRCYVCmBRQVJWDVZXNdhVTmwqz4FTgVAdQCdwDpfoS74hpxxZgBjt3MXCxfv8fgL923mYisMEB+IC/dVx/E3CTA1gXfb3uPOA8B7A9+tgi5QFr9Me/R/tnMLA65ro7gDscwNfhL+BIYGXE6xDrcGC5vp/vwl8RFOAzAH2b++iSCfjSFLFdHfAAfKufl3kiYuNba8G8769xH/CgvaSkhNzcXOx2O9OmTWP27NkUFRWxZcsWKisrOf74441t7XY7Rx55JAsXLuSqq65i6dKl+P3+qG1yc3MZO3YsCxcu7DZov+uuu3YpEyyEEEKIvdOulMcHgiEjU16UEcd3pR1B+44mT1Tjt8jsevTIsJ5HxEUG+GX1uxK0a8GpHrQ3tPmMYHBwmstoeuWwmhiSHofZpDA8M56SajefrK3i7Mm9z7aHQipPL9hiXH5nRQW3nToGp81slMdnxATtReEZ8XpzsEh6ZjIr0W6cPPD4Q/gCoahGf3Vun/H6Ra5pJ1wloa8hL29oNzLtmQkOo3v4p+u0zmPFWfFa4BUKMCxRpYwmGndsghw3WyvrKPb/QLI9RG4c1DY2Yw/4sJv9HO6IZ6W5ivFbHXg+SuLM6vX8xBJgZKqdbTVNjFxphxoXhAKMqm/iBWsDGW6FoW/bedtWh80fQH3EgRL0acF30Ica9LFI9WC1B7AqQdBXGziAd7v/GZwDnGMHKoCI4kgbcK/+TR3wevT9coHZ3cUfJmAjjNc/3X8NccDV+uUf4Bf69xXhr7DphKOCJmBl98fdnXHELLqtgkkmLUaOfBwzMErfLhS+z27kzuKBeD152g5OwhGfF5z69a2Qql/fxeQ2l35b+E+ITQkfbzBiH2iXlfCx69lxk35fIfaQAQ3ap02bxvPPP09xcTFVVVX89a9/5dBDD2XNmjVUVmprtPS1yrqsrCy2bt0KQGVlJTabjZSUlE7b6Pfvyi233BLVSKy5ublP1lwLIYQQYs+KHBfW3fpTXUObH1XVKiUHh4NQPWiP7ERMTPBd2eSN2EfPjxG5/n1bfVuP29JFebzePV7vQq0oMCYvyQjaR2QlGGPJThqXQ8mnWon8rgTt8zfUsKmmNTxqy8r2xnY+XFPBWZPyqXFrxx8btA/uIWjXm3dlJTqM4yf82rZ4/TjxkkA7bdvXkN++jmEmDznVQex1fs43f4MDL4H533OTZQMuvIxZYeYe6nFZPeT871/MtVZiM7fj2ujlLruHxDUhWOUBNaQl4hzAN9pXETBXP/S2cPBrvNhwujUcDH8DV+iH2gDTLdq/hCvrc4FcsxYEUgHj9UAzuqIeBXBJ8NatEAomxaS9kRUToOALhgipoKKgouC0WcLd45VwGbMSDojDL2yn27STOA3tAdRwl/4WbxBvIITLZsHtC2JSFHKSXFS1aKPo0hMcWmWHvg9gW6MHXyBETrILFIXyhnasFjNJThtVLV5ju5E5iexo8tLQ5sduMTM8K4FNtW20eAMUpMaRGmdHVRRWbGskpKrkJTspb/TgtJqN2eidy7NjLsfcXtXsxRMIUpDqQjGee/T9F2+tJxhSmZCfhNOmjSVcu6MZq0XRZrl3s/9lZY20+YKMyU3q6LIecXtls4cNVdrveXaig+KseErr2ymrayU7yRFuzKhQ3eJlXUUzSU4rE8OVOos21+Hxh1CByQUpxpp+ff9LtzbQ1O5HRSHRYemYaBC+fWO1m9K6VtTw0U8bkkpIVVlcqlXPjMpJCI/Xc7O1rpWsRAdVzR5UFA4eksp3W+pxWs0x1UD7xy/ogAbtJ510kvH9uHHjmD59OkOHDuW5557jkEMOgXDzsUi9GaOys23sdjt2e9djOIQQQgix79iV8nh9rW+qy2Z0F9aD9sj17ER04AaobI7MtPcctMdm2nemc3m8ln3Wu28nOqwMiRiLpM9aBjhlXA7/+LSELzfU7lKJ/H8WbAbggmkFxNksPPjJBl5fWq4F7S0x5fGqCr5WRjgaGaNsIa1qA6zZDp5m8DaDp5mp6zZzv7WKCdsVzM+rvG8vJ05tJeVRHxtsLVoGGuADeEs/xLe0f+7WLy+D3+ifShv1tCZQBmOJyeJ2bjbf7/yYCahmbHYHZosNzDYwWwkqFkrqfPgx48eifana9zOKs7WRsIoZTJbwl1n76uo6k8W4XjWZ+cfnm2nxweVHDCMnOZ4AJu54bz3tQbj+uNFUtPh4c3kllx42jK0NXl5esoMQJoKYOLgojeuOGQGKiUc+38QXG+pQUQhhQlUUgqrCE5ccRG5yHKt2tHDDa6sIoWC3WnjvuiNQTCYtyDa+zDGXFeP7H6pbOfNf3xDnsNLsCRFC4e/nTuR3r65kXF4y71x7WNRr+cunvzMaICbYLaz84/G7vOZ4W42bo+/XRjB/9psjuX/eBt5bWcFxQ7OYt7aKEVkJfPS7I/jDM9/xxfoa7j1qPOdOjU7QnfO3T6hu8/LueYfhsJo4/oEvSTBZOH/0IJ78qqMSZdGFx/CH11awYGMt5oDCmstO4Lx7PqfW5+V/58wgdVAyCvD3/3zLgo21HBKfyqLqeg7OS+XVX07frfdbVi+2+b/7v2BTTSsvHzONQ4em8+wnJTy4dQOnjsph6oWTu73f0y8v492VFdw8agTXzOw8Ivmt+Zu4u1ybfjHCksBHFx/Bo6+t4PXKcm6aXEzx0Von/9It9Vzy+DcMTnTxxc+OosXj5/xZHxv7uW/SeH4a8Zqrqspld8yjya/9zc11OVh40TFRj337U9/yVWVHc8XnDzsYtzfANSXLABgXTOKdCw5j1hOL+KayjtlHjOOPc1cBcO/48dy8YSXjs5I44vzo99z+YMDL4yPFxcUxbtw4SkpKjGZnlZWV5OR0zB+srq42su/Z2dn4fD4aGhqisu3V1dUceuihfXpssU3HhOgv8l4TQojea/X1vjxevz093m7MwNaDdn09u15yXhFREh+1pr2HTHsopEZl2iNnV0fyB0O0egMkOa1dlMdHB94pLmvU6KbIoL04K56hGXFsqmnl65JaThoXPa+5K9WNLZRs3MhYUyNX5oRQWmtpMS8mpbQF9+svcEn5Fi61NjB2UQAWtkBbPQS9TAbes4czz69F7/NQwkF2vfY1WukoVe6LJFcIhTbVTjt2VKuLzNQUsNjB4qTep7B0uwebw8mRowfx9pp6aj0Kx4wrxK/YeH1FDR5spCQmcP6hxdz+wSZMNgeZKcmsqvRw1TGjyEpJ5HevryErOYGXrjoczDb+/O4G5q6o4trjR3P1zJGc+OCXWoB0sRYg6bbXtXHifZ9jMSkEIlrRm00KJRedBKbdewEU4Ou13/BdaT1jMydy5qQ8vi+t53nfN6TG2bjniGPJMylMPU3bfsuaSj7/bqlx/5HZQ2DIaABMg7NZun49hHsEpCfYWb2tkcWeQZyRncd3G7dQooZLDHzQEl+4Sz0Stra04cFOcXoS7soW/IEQda0BQIma0a7LTeqY6d3VjPbe0JsDAiQ4rMZYOf33L9FpMW6ju+7xno4O7/rfgxZPoNPvba3ba4zVC4ZUvtlcZ5wAHJbZsfxlSmEKCzbWsrhUey2Tnf27jjojwc6mmtaOaQil2iSCaUNSe7zf+Pwk3l1ZwcptTV3eHtm3Y0N1C25vwKj80TvHE3FiT3/8DVXRI9w2x1Tl1LqjG3/WuL2oqoqqaic4C9NcrAr/HU52WWls81Pf6os6UbpqexMPzNtg9KOYOljL5je1+42xhin74bg39rag3ev1sm7dOg4//HCGDBlCdnY28+bNY9KkSQD4fD7mz5/PPfdonQ2mTJmC1Wpl3rx5nHvuuQBUVFSwevVq7r333j45JqtV+4Vra2uT+dpij2hr0/6z0N97QgghuhYMqcb4IMKl8u2+oNGVPJbROT7eZpRtGkF7eJzasaOzKKl2R2faI77vKdNe3+bDH+wI3LrLtN/46go+WlPJkxdPNdat6w3X4uzRx57sspGf2vH5Y3RuR9CuKAqjc5PYVOOmpqYKqhrAXQXu6vC/VdBaE3VdZlsd3+kx0/+0f/6s/3ezOiIA7/rzfK8EMNOsOjG7kilrtdCiumjBhT0umVK3CasjnosOHw02F3//fBtlbhNTh+fxYYmbdtVOKw7asGN3JvDp/53M5S+u4vMNWvbtzpPG8vNDOsa4NtS4ueL++cSbLMw/bibXfatNJDrntOOpb/Px2LIvADg6K5NLp07k/fc+Bg/Yqk341BD3TDgCRVHYqDaxo9UMyVpmcLtnK604SUmIB5OJtHgtQIo9MaT//JJdNtxev/F+THHZokad7Y5hWfF8V1pPSbUWDC0Ij3ebPjSt075jO7BnRwTGQyP6Kkwfmka83cKKbY0s39bIGRPzohowAlQ1eQgEVS5++lvOmJDHFUcU9XicZeEgtyDVRXlDO95Ax6x6vct/d8fW1Yz23kh0WjhxTDbeQJD0eBtOm3ZyQA/a9d/vxPByjeb26F4U3kDQ+FklOq0k2C04rWba/cFOr0dNRNAO8L/vt0P4dzZyrNqUQi2BGAyfvEl29XfQrr2ONS1e/MEQS8OjDg/aSdA+IT8ZgBXdzEGP/BunqrC8rJHS8Ei/vIigXV9C0+oL0uoNsK4iOmjfUhMdtG+s1oLqnCQHFU0e/EFtNN4L32zl/nkbmDYklcY2P1azwiFD0vhwTSW1bq/RHFP3j09LIDx1oTgrgdQ4mxa0V2uPFzslYH8xoEH7TTfdxGmnnUZBQQHV1dX89a9/pbm5mUsuuQRFUbj++uuZPXs2w4cPZ/jw4cyePRuXy8WFF14IQFJSEpdffjk33ngjaWlppKamctNNNzFu3Dijm/yPZTabSU5Oprq6GgCXy7VbZwSF2BlVVWlra6O6uprk5OQDemShEOLA9cnaKryBEKeM33nWODLLbjYpBEMqda1e8m1dBwJ60J4ebzc+1De3+6lu9lDT4sWkwNEjM/n3F5vYEQ7UA8FQ1CiwFk8AfzCE1dw5g6gH94qifdjdVt/Wacleuy/Ih6sr8QVD3Pa/1RAxox0gzhb90SzFZWVwgsowpZxcpY6xVVWwpRKatkPzdv6yYzN32yuJ+9ILX+70Jes11WxHcaWBKxWcKeBK5f1NXja32jl+8kiKC3PBkQT2RC6fs4HSVjOP/OJIRg8exPn/+Z4lZY1cNLGAl74tM/aZ7LPSGPAzISWZi47U+mh/8u2X/NDcQn0wnYWh6NnkhU4X2FwkR2RVjxmZGbWNHkS4vQE+X6+VXA/LjCfJZSXeYcFuMeENhMhOcpDosGCzmPAFQviCIVJcVoakxxl9Edp8QdzeAPF2S0T3eO2x08Md5GNP2ujvwXi7GYtJodLfMf7uxxoezuLqwc7CTdrrMyMi06+LDX4jA+NhmR3LKw4dmmZUoq8Iz/SODVIrmjys3tHE6u3NePyhnQft9R1B+/JtjdS3dsy5t1s6f5bJTeoI/Loa99YbiqLw2M+nGJf1TLs+9jEx/PvdXaZdn9GuKFqJvqIoZCXaKa1rM3739ffOhsoWo0kiwEdrtIaIw7Oim0xOKkjGpIBecJHczxlfY066W1tb3u4PkuS0UpyZ0OP9xuYlYVK0n3NVs8eYUa/Tq4n05zLrnTVUNHmIt1sYGVHpE2e3GCP1at1efqjUTnyOyklkXUUzm2ujZ7VvDGfCR+Uk0u4P0tjmp7rFy3fhCoFvt2j/jshOMN6/9a0+oznmkcUZzA8vqzh8eDq3nqpVkqS4rGwB4/Ek094PysvLueCCC6itrSUjI4NDDjmERYsWUVionUG9+eabaW9v55prrqGhoYFp06bx8ccfGzPaAR588EEsFgvnnnsu7e3tHHPMMTz77LN9GvDoI+n0wF2I/pScnNzlGEQhhNjf+YMhfv3yMvzBEAcPObZTM7RYbV4t2LKYFDIS7FQ0eahz+7rN3ukf6GMz7XpJ5rDMeIaEG67Vur34AiHqW30EQypmk4KqqoRU7UNtZoKj0/71MvrizAQ2VLfQ6gtS3+ojLWIm9+LSenxBLQDQm8sVJNugYSs0lGJq2MKf7J+RE6qkQKlm2LZaXP9q4RN9Fx9EP2Y6vSxBN9tR4zNZ0+xgRyCR8SOLyc4tgLgMSlpszPq0Ar8tmXKPkwbiWXb7GTjt0R8T33t5Ge+trMCePoriKVogFwypfNHmJaiqpGUXgs1BQvi13dbQHnV/fYRdakQGUs9UbmvoXJWgd9LXf1ajchKjynMJZ3LT4+3Uur28vWIHAJMLtEyi2aQwNCOetRXN5CY5UBSFjHi7kTWdUpiCoihRwUdNi5d4u8XIFOtZO2NWe0zWT++pEGe34LCqxtSBvsj26aXXJdVu2n1BloeD7EOHpnXaNslpJcFhMYLTnIigvSA1jgS7hXZ/kEOHptMenqG+ekdzVFnx6JxE1lY0U9nkMQLxnfVwAIxgbXB6nHHSqSPT3vnkVnSmvW+qWPXqGj3LrZf3x44g1Oml8fF2i1G1kJnoMH4nCTegW7GtsVNGWn/9hmdGB+0JDisjsrWAlYj3bX/JiChPX1+pZblH5yTutMIjzm6hOCuBHypbWLGtkePHRH/m1KdoTClMYXFpg3HS6A8njez0nDIS7Gyta6OmxWtk2k8Zl826imZK69qMv50Am8L7GZYZz7b6Nhrb/NS0eI39p8bZqG/1MbUw1TjpVd/qM6onzpyUi81ioqnNz6MXTsYSPnGqB+l6xUdq3P5ZqTqgQfucOXN6vF1RFGbNmsWsWbO63cbhcPDII4/wyCOP9MMRdhxHTk4OmZmZ+P09j3oR4sewWq2SYRdCHLDq3D6jAdvaimaOTMjocXu9NNllM5MWb9OC9i6a0dW6vcxfX8N3W7R1kJGZdn9QZcFGLYM5Pj+ZVJcNm9mELxiiusVjrNfMSrDjCQfxDa3+LoN2PWArSHPR7PFTEQ5+0uLtEApBczk7lnzKZealDFEqKFCqKVCqGFRTBw93ZAKvUCIasYU6PUyUgNnJVn8ybY5sxo0eDfFZ4a/MiH8zwZ7Ixmo3pz74JXaLiRXnHg/h7P4gf5DFn32Mz6M9WILd0ilgJ2LsW+RaVf2khqJ0ZJf17KbeGV8f2aZLjcic62PfdjRGB/hEBO2TCpJ5diGcf1DXk37yU5zUur18Hf456mXKADOGpbG2oplJ4e7W6QkdQfvkiO0yE7Qsa3WzhyHpcUawqj8nfVZ77ISC1vCJozi7JercSWp8X2TatSTV1ro2Fm2pwx9UyU50UJjW9Ump/BSXETBGZk9tFhPPXX4wHn+Q7CQHqqoa64Afn7+JkKo9/wmDklhb0UxFk8cIpBrafFGBVyy3N8D3ZVpQO70ojVe+0yor9KaQXZXH5yb/+PL4WLGPY5TH6xU1sUF7uFw+cu1+ZsxJwtE5CVrQHl77nZlgj6q6Gd5FRntqYcqABO36z6s4q+cRk7oJ+cla0F7eRdAefo/PHJFprM8/aHAKFx1c0PkY4rWgvaq548TBMaOy+MenG/EFQuxobGdQuCeHfozDMuJZs6OJkmo3W2pbjZOd7157GMvKGjh8eAbvrtROwNW6O4L2rEQHT148tdMxpIR/RwPGsgTJtB/wzGazBFRCCCFEP6mNyGKuq2jmyOIM3N4AVc2eqHW5ujajNNkSkQntnBn81YtLjQ+fhIMGl81sNA/77Aetkm5qYQomk0JWkp1t9e1UNnmMY8pOctDU3rkxUqTKpnYsBBhv28Eo5zpU9wYyPn4JAtugbiP42zgfoJef5YOqgtuRQ1J2ESTlQWJe+N984/J3O4Jc+J/vKEqK47MzZ/a4v6/Ca6IPHpIaFeQ4rGYmDko2ylQzEruucNCrEEojgnb9A3V6vN3IfOlNwPQme4VpccYHdmIyYc7wcehBfWSAr2dJT5+Qy/SitG4rL/JTnCzf1mhkWScXdATjt5w0iisOLyIzHMRmRFQ9TInYLiMctNe4vXj8QaNkXg++9eC9u0x7vN2C1dwR2PZFeXxWop0Eu4UWb4D/frcNgGlFqd0u08xPcbKuohlFodNJpcjXRFEUZo7I4H/Ld/CvLzYBMC4vyQj0K5vbjVJmNVxZkh7f9Wu/aFMdgZBKYZqLQakuI9Ne32Om/ceXx8fqNmg3Mu0x5fHhy5GBdeSJDpfNTGF4aoN+kufgIanM31Bj7Cu2PJ7wCaMXFmmjqft/TXtH0L7BpAXMw7J6Lo3XTRiUzH+XbDNOSESqD5fHHzE8gye/2ky7L8hdZ4/vMoOvH8Pi0nrc3gA2s4lhmfEUprkoqXazqcbNoFQXoZDK+nCjuqGZ8cbv4aLNHSdSc5OdRiVNR6bda5THx5bx62KrWmRNuxBCCCFEP4oN2gF+/9oKPlxTyetXT2dKYXSDJT3L6bJbOoKq1s6NwvQGTWdOzGV4VgInjc1BURSSnFbqWn1Gt+ipg7XAJifRybb6dioigvacJCdmk8KmmtaODvLuGqhaDVVroGo1F65fwnX2Ldh/CAcIVm02eE9aVTuBpEKScoshZTCkDGbWgjY+r4lnh5rObSdNjGq8FisrSQuuapqjg8k6t5ffv76S8w4axAnhTJqeiT5sWOc10QcPSe0I2rsJ0PSgfX1Vi5F9rW7Rs2DR3bwBYx1wUXp00J4S8aHaFdM0cFROIivLtUBCz7QrimIE3V2JzNYmOixRJ3hMpuj76kGGxaQwPtyQCzqC3Opmr/EespoVEsLHoC9xqHP7cHsDPP9NKT+ZnB9V7RHZjyCyu/nuUhSFYVnxfF/WyLx12jrqaUM6l8Z3vA56wGPHZukcLEf665ljMSsKb4abqo3JSzJK6ssb2tlaF11NERm0f7i6ktK6Vq48vMioUtHfU/rP0yiP72JNe7zdwvj8pG5Pxu2O2JMDiUbQ3nWmXW9AqZ9gIuY9nJlg73SiIj/FxZjcRBZt1n5PhmV2HbTrkp17Zk17rdtrvA9jS/a7M2FQEgAryxsJhVQjIA8EQ8Zrk5Ps4H+/nkFI7fjdj6VXJzy7sFR7/Kx4rGYTRRlxRiZ95gj434rt1LR4SbBbGJmdYPwe6kH70Izo/evVOOUN7bSEn1t3QXvsGnZZ0y6EEEII0Y8is+TrKprx+IN8+kM1qgrvrazsImgPrycOl8fTRSZ0eVkjIVVrWPbQ+ZOibktyWY3gIslppShd+8Crr7ntyLSrFDubGNu8nKMsy5j4xaPw0SatK3uEPLpZX66YIGUIlbYC3iqPpzWhiBsvOIV6ex6fb1M5Y1IeRDS227BiEVurtQ+zKTvJ1ukfmlu8Adp8AVzhwHHu99v57IdqlpTWc8iQNBw2k/EB+bDhnYP2aUWpPPq59n13Ge0xuUkku6zUt/r4ZlMdhw1Pp0rPgkVkdvUMua4oIx7oeK0is9DOmMZ74/OTjKA9rosS/a5EZmsnFaT0uKZXf25jchOjpgwYWUu312iilhpnM7LakWtsH/m0hMe/3Ex1s9e4Pt5uicra9kV5POEg7PuyjiqCaUXddwbXT15ErmfvToLDygPnTeSokZl8uKaS8w4aZJxYWba1IWo5Q53bZwwODwRD3PDqctp8QTIT7HxV0tEYjIifmZ6N7qo8HuCNXx1KMKR2e/uucnaTaU/oLtPeRXl8ZFCYmeAw/qbo8pId+INJLNpcT06Swzg5FSk/xUl+ipPyhnZyknf+c/gx9PdsXasPfVpwcS8z7cVZCdgtJpo9AUrrWsO/o9rJDH1fyU5rtxUWuvMOKmB5eRMryxtR1Y6TSvrv/OaaVjz+IH//aAMAvzpqKHF2i3Hsep+R2BMg+muvL0eIs5mNk3ixYv9GSqZdCCGEEKIfRWbaN9W0smhznZGtnb+hGhgdtb3euTvObunIhMZk2pds1bJiehY9UmSQNaWwI9grcnk50rSCYT98ziFNa7jcvpbMleFmVBagruvjD2JiUyiHlKJJ1DqLeHiFibjckdx/9dlgsfPg6yv5b+k2fjlmCBSMJhU4J6vzfiI/nO4saxQf0UStutnL4HTtvmvDI+yaPQEe/3KTNhveFyQ70cGo7MRO+5lckGJ04O9qvT7htdGnjMvhpW/L+N/y7Rw2PN0oXY3MZscGM7nJDqMTd+xzis20a9lvbV10vKN3H1PzIoL2yDLwrkwbkorVrHDahNyo6/UgQsu0a88pcu19WkRW89PwcorNta3YwxneOLvFmPVNH5XHE7NuOiPBbvQV6O65mU3KTud0RzptQq7xWugnwVrDSwN0kctBNlS5jaUDs99fR63bh0mB6UOjM+26rsrjAaxmE30Ur4cfp+c17Z3L4/1Rt0P0koLMRHunipO8FCeZiQ6eWrCFSQXJdEVRFP5zyVRKa9v6rIqgO6lxtqhu9Wlxtl4HrFazibF5SSzd2sCK8kYjaNeb0CU6LMZyl56Mzk3kf7+eQUOrjw1VLUb1ip6ZX76tkYc+KWF7YzvZiQ4umzEE6Lx8o1PQHvM8usuyE1O5o12WRnRCCCGEEP0mMuAOhlSe/2arcXlTTSvb6tuMpkaER3QBuGwR5fExa9qXhNeyTx3cOZDRPtirDFEq+ZltHcx9Gsq+4fqGLWADdoQ37CJx6zYlsNI/iJq44Zx2/HEo2WOZ8tg2Gn1mPj91Ju1tPj78fiHpjTb8ipVQIMgXG7Rgb0YXme5IkcHqztbFKopiNFGravYwOPxheW14eQHAfxZsMU5+3Hnm2C4z0XF2C2PzklixrZH0hO4/+J8xMY+Xvi3jw9WV3HnmWKrC5fGRTbwSY4LtpHDGTl8bHBlYxMUEeRMiStYTeplpHxQRtEeWJ3dlxrB0Vt9+QqdRZJmRmfaYJnREjHxr9gRo9mgZ6R2N7RSG349xdktUOXRfZfuGRaybnjak+/XshEd5Lb/tuG4zkjuT3U2GPrK548qITup6lnR8frIRJMdWR/RVJn1nYjPtetl7QsSc9sjxi/rIt+g17ZHl8Y5OWea8ZBfFWfE8dcnUqKUVsUZmJzKyixNjfc1sUkiLtxvNMrtaY9+TCfnJLN3awMryJs6alA8R49529f2bEmdjWlHH0g09CF+1vcmYznHD8cXG+yG2mif2BEeiw2qcRCR8EqU7sccq5fFCCCGEEP2otiW6tF1vEKdnk74sqeGiaR3ruzvGbUWUx0cEGIFgiO/LwkG7HswFA1C1CsoWcX39+9xnX06G0gwbuj+uJtWFkjeJTdYR/LskiexR03l7MzT6A9AIbv9YTkvNpdGnRfnZiQ6yEx2kxdmodfuYs3gbvkCIqmYvmQl2phd1vy6ZXcy0EzGqSi8l9fiDlIRLnYvS44xu7z87pIDjRneR2g+7/LAh/OvzjRw3qvttphamkJvkYEeTh89/qKY6orOzLjEm057ktJIaZzOC9pRuyuOtZoWhGXFGg8DeBp/5KS4SHBZUtWOtbk+6mh3ekWn3RMxo7zjO2CCCcNDe0YjOHHWCpa8y7cMigplpO3nf0EWVw65IiKjaiBR5Ikwff1aUEcfmGu19dXjESajYTLt9DwXt9piMflLMnPZASMXjDxlLIoxMe2T3+MToTHtsMJibrI0NPKaH3489LSMyaN/JfPZYemC9NWLMnf7ej81e76qJ+cn8auZQlpTWU1rXxtjcRM6ZnN9x3DFBe2ym3WRSSHHZjOqrHjPtEX8jE+wWrL2oENgXSdAuhBBCiL2CPk4rxWU1yjQBfjIln1eXlPPlhtigvWPcVlfd43+obKHVF2C8vYoRpS/CZ1/A1oXg07oYT6SLLLrZjjttLP/dkcmKUBEr1SJK1WwWnnsMGzfW8vH6lRRV2Wls72jUde+H64318ElOqxEY/PbY4dz2vzU8NG8DofBC0d8dV7zT7GNksNqbDtT6B1q9k3tJlZtgSCXFZeXuc8Zz/hPfMCwznj+dPLrH/Zw+IZfTY8rGY5lMCqdPzOOx+Zt4+bsyKpu6akTXOdMeuT44rZtGdKlxNixmE7nJTsrq24jvZQDqsJr575XTUVF3O2jVy3Vr3d5OM9oJP+/UOJsRIBGu9CgPn4hw2SwkR65p76OgPS/ZSYrLSmO7v8v57H1JURSykxxGMD4sM56N1e6o8ni92/hNx4/g8S83s6q80Wh0CEQ14wNw7KQhXl/pbk17nM1snPRr9viN382uGtHF2y3E2cy0+oJkJWrN/PTReIkOy486IdJfMhLsUKF9v6uZ9oJwlUhk00F93Fvqj8xWm0wKfzhxZLe3R1bmuGzmLvswpMd3BO3ZPQTtkb9rP/Zkw95MgnYhhBBC7BHb6tu4/Z21/PaY4YzL75wR1TPthw5L572V2ifRvGQnPzukkFeXlPP1xjr8wZCRSdFHvsXZzKQndATtqrsGZct87N+8zTf2r8hR6uGjro+pWXWxwT6GqYefDIWHQu4kAj6F++76FE8oRLLLylUHDSI32Wl8ONQz12NyEwmGVH6obOHip7+FmCZgFxxcwLNflxrbD82I46dT8rs8jkh6ibHNYuoUjHQlM2L0E8CaHU3h40vi4CGpfHrjTNLjbVGN136MMybm8tj8TcYIOWIz7c7OmXb9pIpJic5uOqOCdm2bcXlJlNW3MbibeeRdGZ3748qR9dnhtW4fS8NLKmKz5WkRQbuedS8Jj7GKj1jTblL6bla0yaTwn0sOorHN1+9rpAm/f/Wg/eAhqVFBe7svaIztmlSQzEu/nEZlkycqS+qyx65p3zOZ9sjHsZgU4/dGURQSHFrgXdHk4a7313HCmOwuG9ERrtpYX9VCXrL23kuPt9HU7ievj+bJ97XIjPWuZtr1oH1bQ7vRQV4f99bfwW+S02qMdxyaEd/lso/IYLyn6RFJTiuKoo0nlKBdCCGEEOJHemrBFj5ZV0Wc3czDMZ3ciShtP2J4R9B+6NA0xuYmkRpno77Vx4KSWo4amQnhcW4AcVaF9IbvudkyhyNMK1H+Hh4/RBeZ9LhMGDwDCg5lUbCYC99u4fdHjWbq4UONTZItWnfr5vYAUwenGCcJYj8QTipI5sKDC7nmpaWUhktMI4N2q9nEH04ayVUvLAXg5hNH9qq5k56pTnFZe1zDrNOz3HqmXV/Prgey3Y1r2l2jchK56fhiPlpTxfqqFnKSHFGBW0+Z9hSXLWpNfWSmXQ+S7z5nHFcfOZSxef2/LliX7LJx7KgsPllXZYy+i+0Ar61xbiE70UFmop2V5U1GRUic3cLgtDjS420MSY/D3EMH+121s3X6fSk7UesPYDYpTC5I4eVvy4xs59qKJoIhlYwEO9mJWql4bFlzp0z7AKxp14K4jtc/0Wmhqd3Ps19v4a3lO1i4qc5Yv58Uc4LpzjPHsnRrg7GcJi3ezqaaVvL6uRP87ooK2ncx056b7MBsUvAFQlS3eMlOctAYfj/vbGrFj6UoChnxdnbEnPSJFBm0Z/Wwpt1s0sZ3Nrb5Se3n4x5IErQLIYQQYo/Q15eX1rZ2ui0UUo3S9kOK0ox1zYcOS8NkUjhuVBb/XbKNX720lHvOGc8Zo5IYWvs591nmceriVdgXNnBNF59q2lUbnrxppIw9EYYeBZmjIfyB/hDg+0n+To3TCGepY8WWjI7PT2Z0biKf3jiTT9dV8e7KCi6aVhC1zfGjs/j1UUMJqdr3vaEHPr1tqGTMGDcy7c3h59B/Qe9vjh7Ob44eTiAYwmxSooKk2DLiRKfVCMhjy8Zjy+P1+3dVidHfrj6yiE/WdT2ajogxVDNHZNDU7jdG0xHuqxBnt/DVzUdjNfddwL6nZSdpwVFBqssoSdYz7cvDpfET8pO7PZnU2+7xfS2yYiM2EE+wW4F25q3VfrbVLR3NBmOrQg4eksrBEd339Q7yeclO9kb68aXG2XY6ni2WxWwiL7wUZWtdK9lJjj5b094bGYmOHoP2tKigveeTJqkuG41tfsm0CyGEEEL8GB5/0AgmN9e2RnVyJtwYKhBu8pWd5ODU8Tks2drAzGItq/7Hk0fRXF9FwtaPSHjjboLWtVwW8mmfZPzRj+VOHYNz5LH8/Is4loaKWXjhydDNB9rYD/g9if1AqHc6N5sUjh+TzfERa3t1iqLw+xO6X9vZlSEZWma8uw+zsTIjMu2hkMo6PdOe0/+Z6q4qByLXEceHG0OlRwQXkVwRmdmBnq88dXAqUwpTWLq1IXw80e+ZCw8uoLrZyxVHFPHKt2VRt+l9CPpqCcJAKUzV3nsjsxOMkxR6ILdim9aEbkIPJ1QGqnu8I6K5YIIz9qSRdkyRo+z0vzWRa9q7MjYvifdWVTBpJ6MEB4pe4r67J+gK01yU1bdRVt/GtKK0PlvT3htTClJYsa2R6d30akiL+Jud1c0YSl1KnA1qW/fIcQ8UCdqFEEII0e9Wb28yPii3eALUt/qiPpTpJbiJDgt2i5mH9PL5tnpY9h5Ja+byr8r5KNbwvOVQx74DZieW4mP5545inq4axl+OnMnkgmQWfvY5NrOpz4LBRIfFWMvsspl7HVTvqkmDknn/usMp7OWa7shMe2ldK22+IA6ryZi9vKdFriPWT4ocOyqLU8fncE7Mmv6uyuMH0lVHFHFleDlD7PtmWlEar1ypBRi5MZnX2GB1X3XahFyaPX6OG51llJw3tPkIhlRj3NuEQd2PO+vUPX4PNaJz2Doep1OmvYcGcrFr2mNdfWQRp03I2Wsz7TNHZHDvT8YzbUjnkZa9oY/QLKvXlvfsqTXtALeeOorfHD2s27/P0Wvae64i0Mv5JdMuhBBCiANObDb8x/i+rDHqcmlda0zQrn1YTI+3g7cF1r4Na96EzV9ASAvUI4+k1pTGYtshzGkey8UX/IxjxhWw9uVl1FVVUNviNdZ3Zyba++w5KErHGKKxuUl9um459nF2pbGavt6zxRMwssQjshP77fh6I8GhrSPWy4+TXFYevXByp+2iyuPjB/4D97Gjsjh8eDqNbX4ji9mVTkG7bf/4SO20mfnl4UUA+IPambGQqnUY1/s2jN8LM+02s8loRtY5aO84plPG5zBvbRW+gPbcdlZpoygK+XtpEzrClS7nTh202/cviAnaG7qYnNBfFEXp8XH0k3hJTutO30eHD8/g6411UUsb9jf7x18YIYQQQvSpJ7/czKOfb2TOlYcwqg/KrJeF17PrttS2MaWw4wNWbUsbh5lWcVVgEdy3CALtnXeSNIjawpO5fHEeZY6RpNsclITcXOXUPnjq6ztr3F4qm3Y+Kmh3pMZZqXV7ewxc9rR4uwWn1Uy7P8h/vtoCwPi8gT0+LbvZTtJOyo8j57TvDZl2k0nh+csO3umJntjMa5x93y6L74rVbCLRYaHZE+Dz9TUADE5z9dgZv9OadsueeV0UResY3+YLdupREZlNP2VcDu2+IJ/9UI3ZpHQ63gNNYWzQvoca0fXG4HADzaEZO2+kecmhg7loWkGvGn3uqyRoF0IIIUSUyiYP9328Hl8gxIKS2j4J2vVM+/DMeEqq3WypdWs3VK+DFa9w9JKXOdVWA56YOyYNgtFnwJizIW8yTl+QFd99BO0BAiFtYz27p3dSrm3xUhnOtGd1Mf/3x8hLdrKhys3UwXvPGldFUchKtFNa18b6qhZsZhOXHTZkQI9JD5x2lsl0WTuPfBtovanMyEvZPzPtsdLj7TR7AnyxvhrCzRd70rl7/J4LohzhoD32Pae/F80mhRnD0nF7Anz2QzWJDkufVeHsq4zy+Lo2AsGQMb++t00w+9OonERe+uU0I3jfmf05YEeCdiGEEELEeuSzEqN8tCG8xvHHqGhqp7LZg9mkcPqEXB6dt5qszW/Cfz6H8u8AiCpAdSTD2HNgwvmQf5DR7Z1wgJ6ZYKe6xUuLPvItnOVMD5dX17i9JDdpmfq+zrTPOn0MJ22u5/jRnZvODaTMRIdRvnz1kUV9PuZtV+nriJOdPX/4d3bRPX5fkOKy4rCa8PhDuGzmqDF2+5PUOBuba1v5drM2Bq+n9ex0MafdvofK44kY+xYbtCeFA9ApBSkkOa2cOC6bl78rM8a6HcgKwn0z6lp9bG/U/mYqyq416OxPM4alD/Qh7DUkaBdCCCGEoayujf8u3mZc1sslf4xlW7Us+3EZDZxZ+Q8utr9OUlVb1DZBzHwWnIhnzLmc9pNfgKX7rOvg9DhjvBkRHciNTLvbawSNfR20F6bFUZg2sAFxVzLDz31QqpNrjho20IfTkWnfSZmt3aKNnWr2+MndS2dhd0VRFHKTnWyuad1vmtB1RT+R4guvb++pczzhteX6uEb2cKbdHn6s2DFuJ43NZklpPRdPH6zd7rDy1q9n7LHj2pslOqykuKw0tPlZHp4OkOS07vdZ633R/vtXRgghhBC77J+fbyQQUo0P3npjot0W9ONd/iqv2l7i4Kb10BTdUe6H0CDeMR/L1tyTeXeTn78OHttjwA4wJC2O77bUG5f1oEkfK1bT4sVl1a7L7uPy+L3VGRPzWFvRzOyzxu2x5l89GZuXxJvfb2fsTtbWK4rC27+ZgT+oRo1/2xfk6UH7frwuOrJZpNmkMCZ35z9Pl81MsyeAomhB/J7SXaY9N9nJv382ZY8dx76mINVFQ1sTn6zTlkDsDaXxorN966+jEEIIIfqVnm05fUIub36/fffL49sbYOmz8N2TnN28HSI+u3tUK++FDuGrxFN5qy4fUDBt1jL66b3oIB67xlFvJqVn2uvcPmzhUVMHStB+3OgsjhudNdCHYfjFjMGcNiHX+Jn0JDIw3Jfozej250x7ZHPA4qyEXs2hj7NrzescFvMeXTN+8rgcWr2BvarfxL6gIC2OFeVNvLNiBwBHDJeS9L3R/vtXRgghhBC7rLFdC9JHZCdol3e1PL62BL59DJa/DP7oEnhP8jAch/ySs+fns7bBBHUdt4WraY1seU+GpHesgLdZTFjD2by0cCOzQEhlW33/rGkXvaMoSq8C9n1Z7gEQtEf2GZg4qHcTCfSTaHuyNB7g10cN49d7wdKQfU1BakdTxSmFKdxy8qgBPR7Rtf33r4wQQgghdpkepOvZ7PreZtq3fQdfPQAbPoi6WkXhk+Akng6exH+u/h04rKSv/Q4atBFSEwYls2Z7k7EGtjdZ18hMe3xEwGSzmEh2WaNONGQm7t+Boxg4xVnxAOTsx9UcaRGVLzvrHK/TT2LsDcs0xM6NzNamgwxKdfLEz6fIz20vJUG7EEIIIQDw+IN4w13j9e7jjW0+VFXtusxVVWHLfPjy71D6VdRNPsWBafLPWJV/AVf8t4pBqU7iws3hhqS5+DK83a+OHMo7K3bw3qoK6GV5fGFqR9AeO2c5Pd5uBO2pcTbse2hOtDjwHDc6m39fNJkp+3E5dlrEGL4JvQzaOzLt8ru3LzhpbDYPnz+R6UVp++xSlQOBBO1CCCGEgIgsu9mkkB+eQ+0PqrT6gkZG2+MP8uzXWzg0uJhxm/+Dsn1J9E4S83ik9WiebD2cOwcdFt5nFSOyOma96ycE0uPtHDMqkySnlfdWVZBgt0RlzrvjtJnJSXJQ0eTptH1GvJ2N1doM+CwpjRf9yGxSOGlczkAfRr/Slzg4rWajsmBn9Fntdot0IN8XWMwmzpiYN9CHIXZCgnYhhBBiP+XxB/lifTWHDc/oVTCsr2dPdlpx2SzYLSa8gRANrT7t/qrKO3Me58iSfzPKVBZ959QiOOwGWkaczf13fgHAgpJaY3TQiOyOD/ynTsjl47VVXDitAKvZxCFFqcw+axxZifZeN64anBZHRZOnc6Y9Yh11tpTGC/GjFGfF86uZQynOiu/1GDCXlMcL0eckaBdCCCH2E68u2cZb32/n0Qsnkxpn47mFpdz1wQ/8auZQ/nDiyJ3eX8+067O1U+NsVDR5aGj1MqhhEa0fzOKntSuiOsFvMhVSdNZtKGPOApOZzeHu8wALNtYa632LsxKM69Pj7bx8xSHGZUVRuHBawS4918HpcXyzua5TE7CMiPLOA6VzvBD9RVGUXv3tiBRvH5hGdELszyRoF0IIIfYDG6vd/GnuKvxBlfdXVfCzQwpZub0JgBURgXRP9KA9OTznONllI7d5BQXvPATV3xE5aM2bNZHrdxzLh56JvJd2JKNN2gf1zbVuY5uKJg/VLV6IaHbUV4ZmaEeT6IieyZye0LEmXsrjhdjzXDbJtAvR1yRoF0IIIfZxqqry57e0gB2gpKoFgI1VWgC9ocrd4/11TXp5vMsGlav4W9sdTLZ/B9Ud22ygkNyz/kb8+FPxP78EdV01n66rYnSuFpRvqm6N2mcwpGIxKcY69r5y1qQ8SqrcnH/woKjrIzPt+3NXbyH2VnF6IzppAilEn5G6FSGEEGIfN/f77SzaXG9c3lDlJhAMsaVWC6Br3V4aWqNHty3dWm/crmtq95NBI1c2PAiPHc5k73fGbXX2QVzr+w2vTnmZ+AmngaJw7KgsAD5ZV2Vst6lGO0EQOR+9KCMOWx83pUqLt3PPT8YzqSC6c3fkmnbJtAux5yWEq1/25/n1QuxpErQLIYQQ+7h/f7EJgBPHZANQUu1mW0M7vmDI2GZDOPsOUNXs4dzHF3HJ0x1BOf52RpY8yef2Gzik6T1Ay9pvV9P4eNifuSXnP7wTOpTCjI616UePzARgRXkT1c0eiAjaf3ZIxxr1EX1cGt8TWdMuxMA6bUIuZ0/O45JDCwf6UITYb0jQLoQQQuzDQiGVrXVtANxwfDGEM+uLS+ujtttQ3VEiv7mmlWBIpay+DY8vAKteh0cP5oht/yZe0YJv7InML7yWo733syDhJLbUa2vTC1Ndxn4yEx1MyE8C4LMfqgmGVEprtWM5fUIeKeGGdiN6OSqqL2REdY+XoF2IPS07ycED505kfC/nugshdk6CdiGEEGIfVtfqwxcMoSja/HN9vvqHqyujtiuJybQDjFZKUZ45Ed64HJq0EW5BVeGH/J/CtcvYOPxyvNioa/VRVq8F44Vprqj9RpbIlze04QuGsFtM5Kc4+cmUfMwmhZkjMvv5VeiQmWDn5HHZnDUpjySntRf3EEIIIfZuErQLIYQQ+wBVVXl18TaWlTVEXV/R1A7hYNVqNhmj1b4qqQFgcDjIjiyPr62r41bLC7xj+xP2isXG9SvtUzjJdzc/TLkd4jOMTPmGyha8gRBmk0JusjPq8Y8JB+1fldTy7RYtuz8kPQ6TSeH/ThrFqlnHMzYvqV9ek64oisK/LprCg+dN7PXMdyGEEGJvJkG7EEIIsQ9Ys6OZm99YyXmPf8MX6zvaue9o1IL2nCQtmB6eqZWi653kTxqXA3oHeVWFNXM599uzuNzyAWZF24a04XDha9zimsUGdZAxpz0lThuftjG8Tj0v2YnVHP3RYVROAuPzk/AGQtzzwQ8ADA0fg9mkGOOfhBBCCLF7JGgXQggh9gGldVqnd39Q5aoXlvLNpjoAdjRqpe554Qz48KyEqPudOCYbRYGEtjJ8z50Fr11Kor8WAI9qZcnQ38CvFkLx8TS2ByBiTnuKSwva1XBsH1saTzizff2xwyFcqg8wNGPPrWEXQggh9ncStAshhBD7gMomLTg3KeANhLj2le8JhVSjPF6fSV4c0fTNbFIYlenklvj3+Nj2B2ylnxu3fRqcxLG++5iX/jOwaMF5U7sf9DntYJTH6wpSOwftAEeNyGR8fkcJ/NCMvp3JLoQQQhzIJGgXQggh9gF60P6zQwqxmU3Uur1sb2w3Mu054Uz7sMyOoP2opGpszx7Hlf6XsCtaQE5iPjdb/sDl/psoVzOpCu/XHwzh9kZn2vXgXTc4retgPDLbjmTahRBCiD4lQbsQQgixD6gMd3wvTIsz1oyvr2xhRzjTnpesZdpdNgtDUixcb3mdx9pvgIoVEO4K/1XGBQR+9Q2vt04AtCZtVc3aKLfmcJYdIDEctCc6LJhNHc3cCrooj9cdNSKTsyflcURxBiOyE7rdTgghhBC7RrrDCCGEEPsAPdOenehgRFY86yqaWV/V0qkRHTuW83zg/xhk2WzctzlhGD+rvQSraSrDfTZCasd+q1q0/TaGg/bIQF1RFFJcVmrd2lr1rta06xRF4YHzJvb10xZCCCEOeJJpF0IIIfYBeqY9O8lOcTiTvXZHM9UtWqY8N8ECn/0VnjyaQX4tYFcVMxzxe6ov+IiV6lB+qGg2MvN6Ar06nGlvbNOC9qSYdeyRJfLdrWkXQgghRP/Za4L2u+66S1sTd/31xnWqqjJr1ixyc3NxOp3MnDmTNWvWRN3P6/Vy7bXXkp6eTlxcHKeffjrl5eUD8AyEEEKI/hEKqVQZQbuT4kwtaP96Uy2qCsXmStJfPRW+vA/UoHanrHEoV34OR/+ZwVmp2C0mWn1BvgvPUh8e3ofbG8DtDdDUrmXTk53R69hTw0F7RoJdxrcJIYQQA2CvCNoXL17ME088wfjx46Ouv/fee3nggQd49NFHWbx4MdnZ2Rx33HG0tLQY21x//fXMnTuXOXPmsGDBAtxuN6eeeirBYHAAnokQQgjRtfpWHx7/7v3fVN/mwx9UURTITLAba8Yb23ycb/6M/1lvQdnxvbaxyQIz/whXfAY5EwCwmE2MDN/ns3XajPehmXHE27UgvLrZY2Takztl2rXLhZJlF0IIIQbEgAftbrebiy66iCeffJKUlBTjelVVeeihh/jTn/7E2WefzdixY3nuuedoa2vj5ZdfBqCpqYmnnnqK+++/n2OPPZZJkybx4osvsmrVKj755JMBfFZCCCFEh4ZWHzPu/oyL/vPtbt1fX8+eHm/HajaRl+wk19bKE9YHuNv6H5xoJe6kDYPL58HMPxhj3HSjcxMBWLJVy7RnJTrITLRr+48I2pOc0UG7Pqu9pyZ0QgghhOg/Ax60//rXv+aUU07h2GOPjbp+y5YtVFZWcvzxxxvX2e12jjzySBYuXAjA0qVL8fv9Udvk5uYyduxYY5uueL1empubo76EEEKI/rK5tpV2f5Dl2xoJBEO7fP/IJnQAps2f8q7lZo43L+3YaMov4KovIW9yl/sYnavNUdeb0GUnOshK0PZX3ew1GtHFZtrHheevTxuSusvHLYQQQogfb0AXp82ZM4dly5axePHiTrdVVlYCkJWVFXV9VlYWW7duNbax2WxRGXp9G/3+Xbnrrru4/fbb++hZCCGEED3T14sHQypVLV7ywjPVIwVDKhVN7eSndM5oV4TXs+clWmDebfD1w+ghdJ2awJcjb+Ws067q8RhG5yRGXc5OcpAVzrRXNXtoaut6TftF0wo4fnQWGQn2XXrOQgghhOgbA5Zp37ZtG7/97W958cUXcTgc3W6nKErUZVVVO10Xa2fb3HLLLTQ1NRlf27Zt241nIIQQQvROU8QMdH1EW6zfv7aCw+75nIWbajvdVtXkIYt6/q/69/D1w8b1XwQncKL3HtqKTtzpMYzMTiDyv8bsRAdZ4cx9VQ+ZdkVRyEx07PT/XiGEEEL0jwEL2pcuXUp1dTVTpkzBYrFgsViYP38+//jHP7BYLEaGPTZjXl1dbdyWnZ2Nz+ejoaGh2226YrfbSUxMjPoSQggh+ou+Xhxge0PnoH1ZWQNvfr8dgPkbajrdnrD9S96338Lg1pXaFSYLmyb/kUv9N1NDMrlJnTP3seLsFoakxRmXtUx7OGhv6X5NuxBCCCEG1oAF7ccccwyrVq1i+fLlxtfUqVO56KKLWL58OUVFRWRnZzNv3jzjPj6fj/nz53PooYcCMGXKFKxWa9Q2FRUVrF692thGCCGE2JPafZ07xEcF7TGZdlVVufuDH4zLa3dE9FkJBeHz2VxR9nvSlPDklMR8+MWHxM/8LaBlv3O7KLfvit6MjnAjOiNob/IY1QAStAshhBB7lwFb056QkMDYsWOjrouLiyMtLc24/vrrr2f27NkMHz6c4cOHM3v2bFwuFxdeeCEASUlJXH755dx4442kpaWRmprKTTfdxLhx4zo1thNCCCH629srdnD9nO/5+08ncPbkfOP6yPL42KD9i/U1xux0wkG7qqoorTXwxuWw5UvjDHt93lGkXvQ0uFLJVFXG5iVS7/ZR2MvO7qNzE3l3ZQUpLisOq9lY0769sR29+D3ZZetxH0IIIYTYswa0Ed3O3HzzzbS3t3PNNdfQ0NDAtGnT+Pjjj0lISDC2efDBB7FYLJx77rm0t7dzzDHH8Oyzz2I2mwf02IUQQhx4Fm2uI6TC4tKGqKC9MdzkjS7WtD82fxMAF08v5MVFW6lr9dFQsojUdy6Dlh0ABFQT9wXO49wz7iXVpWXLFUXhrWtmEAipOKy9+z9v4qBkAArDZfJ6pr0i3J1eu04azgkhhBB7k70qaP/iiy+iLiuKwqxZs5g1a1a393E4HDzyyCM88sgje+AIhRBCiO5Vh7u8RwbpgNHkjS7WtJfVtwFwzuR8vtlUx7ja90ma8zSEtH2E4rO5oO5KFqsjuS4pOqNuMZuw7MI56ulFafz9pxOYEB7jlplox2Uz0+YLUpQex9UzhxoBvRBCCCH2DntV0C6EEELsy6qavQA0xAbtbdHd4/UpJ6qqUufWtk13mfiT+Tlm2t4AfZR7wXS2Hv0vFj+2jgSHhTj7j/tvW1EUfjKlowLAbjHz3yun0+L1c8iQNEwm6RAvhBBC7G0kaBdCCCH6SHWLnmn3R10fuaa91RekuT1AkstKizeALxgihWay376QvIavOu409XI48W7KtzRBeERbfxgXzroLIYQQYu80YN3jhRBCiP1JMKRS09Jdpj36cnmjVhJf5/YxWinlXfutmLdqAbtPNfN3+6/h1AfAYmNNuJt8b5vNCSGEEGL/IkG7EEII0Qfq3F5CqvZ9Q5sfVdUuhEKqkWnXs+U7GrWMfHDNO7xuu508RZvNHorL5HzfrfyzeQZubwCAz9ZVA3BEccaef1JCCCGEGHAStAshhBB9oDqcZQfwBUJ4/NrC9BZvwAjm9Tnp2+tbYeEjDP38alxK+H55UzBdNZ8dCeNRVVhf2UxDq48lW7VxcEePzNzjz0kIIYQQA0/WtAshhBB9oKrZE3W5oc2H0+akKby+3Wk1MyQ9DgsBxq+4A2rmGrPRv40/hmmXvgxWB6Nzt1PZ7OH7skbK6tsIqTAyO4H8FCmPF0IIIQ5EkmkXQggh+oDeOV6nr2vXS+OTXVYK4wM8bb2PyTVzje0eCpzNW0P+AlatdP7QoWkQnt/+5rLtABwzSrLsQgghxIFKgnYhhBCiD+id43V6B/nGdi14L7bVc9ayyzjCvErbwGzj9cLbeCjwE9LiOzrD/3x6IcMz46l1+/iqpBaAo0dm7bknIoQQQoi9igTtQgghxG56YdFWzvzn19S0eLvNtDe2+RmvbOLh1ptIaC7RriMBLv4fn9uPAiAt3mbcz24xc/c541HCtfNpcTYmDkrec09KCCGEEHsVCdqFEEKI3fTs11tYvq2R91buoLrTmnYt0+4q+5xXbH8lOdQIwKZQDmd4b8eTO43acPO6tHh71H2nFKZw6aGDAThhbDZmk4IQQgghDkzSiE4IIYTYDYFgiLJ6bd768m2NVIXL4zMS7NS0eGls9cGKOcxcdi1mJQiAWjCdS8quoFx1sLWujbpWLRufHmfrtP8/nzKaI4ZncNCQ1D36vIQQQgixd5FMuxBCCLEbtjW04w9qs9xWlDdRHS6PH5mdAKiM3PwMzL0Ks6oF7D+kzET5+VukZ2QDsKnGTZ2760w7gNmkcNTITOLtcn5dCCGEOJBJ0C6EEELshs01buP7LbWt1IQD8BGZcdxqeZHjtv/TuP35wHF8Mf4+sDoYmhEPwPrKFqOEPnJNuxBCCCFEJAnahRBCiN2wuaY16rKqgtMU4Oc7/srllg+M6+emXMZtgUtJdGkd4osy4gBYurUBAEWBFJcE7UIIIYTomtTcCSGEELthc6076rITD8/aH6awYgUAQUyYT3+Yl78bBjSQ7LICGJl2PWhPddmk0ZwQQgghuiWZdiGEEGI3bApn2icVJJNIKy/Y7maaqgXs7aqNPzv+CJMvNua1Jzv1oF3LtLf7tbXuUhovhBBCiJ5I0C6EEELsBr08/oIxTl6x/ZWppg0ABG2J/Mx3Cx/4JgDQ2K4F7UnhTHtBmisqs54W17kJnRBCCCGEToJ2IYQQYhc1e/zUur1kUc/ZK65kjGkrAK3mZJrPnctSdQRN7X6CIZUmPdMeXrdut5gZlOI09iWZdiGEEEL0RIJ2IYQQYhdtrmllkFLFm447sNSXAFChpvLmxP8QP2QyhBvTVTV78AVDEFEeT8S6doD0Lsa9CSGEEELoJGgXQgghdlHt5uW8brudPKoBaHHmcwl3MGrcFKxmEwnh2eqldVoJvdWs4LKZjfvrHeQB0uIk0y6EEEKI7kn3eCGEEPuctTuaeXNZOdcePdxYK77HVKxkxlcX41SatMsZI0n4+Vt8GJ+NKbxWPcllpcUboLS2TbvstKEoHevYIzPtaZJpF0IIIUQPJNMuhBBin/PPzzfynwVbeHfVjj37wDuWw3On4QxoAXtNwii49H1IzDECduiYu74lPBYuOebEQlFUebxk2oUQQgjRPQnahRBC7HOqWzwA1Lb49tyDbl8Gz58OnkYAloSKWXvcixCX1mlTPUh/a7l2UmFIelzU7UMjy+Ml0y6EEEKIHkjQLoQQYp9T36oF643t/R+0B0Mqr789F/8zp4NHy7AvDo3gEt8fGDoot8v76Jn2mhYvAL84dHDU7alxNvKSnZhNSlQneSGEEEKIWLKmXQghxD6nITxGTR+n1l9UVeU/r7zChRtuwKq0a4+ZNY1Ltl5FYmIyecldB9wpEeXwE/KTmD40OhuvKArPX34w9a0+MhMd/fochBBCCLFvk0y7EEKIfUowpNLYpmfa+zdof/3N17low+9ICAfs9ZmH8Mqwv9OGgymDU6Kay0XSZ7IDXH3k0C63G5oRz0GDU/vx6IUQQgixP5BMuxBCiH1Kc7ufkKp939DWf+Xxm5d8zMkrf02copW4fxUcy5e5sykp19bTTy1M6fa+6QnaOvUh6XEcPya7345RCCGEEPs/CdqFEELsU+ojAvXdLY8PhlTMpq6z5ABsW0z++5dgCwfsNVmH8cutvyRvUwu14XXqUwu7z5KfPiGXtTuaOf+gQT0/jhBCCCHETkh5vBBCiH1KQ2tH0L475fE3v76Cg/72idEkrpMd38OL52ALaTPWKzIOw3bRHPyKjc01rTR7ArhsZkblJHT7GElOK3edPY4Jg5J3+fiEEEIIISJJ0C6EEGKfUh8ZtLf5COm18r3g8Qd5a/kO6lt9rNre2HmDylXw/Jng1brELwiOwXz+iyQlJjAuvyMAnzgoGYtZ/gsVQgghRP+TTxxCCCH2KZHr2EMquH2BXt93WVkDvkAIgFp3zHr46nXw/BnGHPZvQyO5P+12MtO0teuHD0s3Nu1pPbsQQgghRF+SoF0IIcQ+pb41uiR+V9a1L9pcb3xfFxm0126E506HtjoAtjjHcJnv90wfOcjY5LDhHUH7FOn6LoQQQog9RIJ2IYQQ+5TYjvGNuxK0b6ozvq9zh9e012+G506D1moA1NxJXOz5Pa04mTki09h+ckEKOUkOUuNsTC6QtepCCCGE2DOke7wQQoh9SuSadnZh7Fu7L8jybR3r2GvdXmgs0zLsLTu0K7PHseqoZ9j21FoSHJao4NxmMfG/38wgFIIEh7Wvno4QQgghRI8k0y6EEGKf0hATtPe2g/z3ZQ34giHjcqhph5Zhb9qmXZExCn7+PxZsDwJw6NC0Ts3mMhMcZCc5fvyTEEIIIYToJQnahRBC7FP0Oe1Wszb/vKmXmfZvNmul8enxNtJo4vdVN0NDKQANrsG0XvAmxKWxtLQBgIOHpPXTMxBCCCGE6D0J2oUQQuxT9Ex7QaoLdmFN+6Jw0H7mqASes93DoFA5AHW2PE6sv4l/fNtEKKSyZKsWtEuHeCGEEELsDSRoF0IIsU/R17QPSY+HXpbHh0IqK8qbcODluqo/MdakZdjVxDzuSL2LKlL5aHUlG2vcNLX7cVrNjM5N7OdnIoQQQgixcxK0CyGE2GcEgiGaPdpc9qKMOOhlpr3W7UUN+HjM+hCJ1UsAqFMTaPnpayxv0YLz0ro2XvmuDICJg5KxmuW/SCGEEEIMPPlEIoQQYp+hZ9UVBQrTtPL4pvadr2nfXu/mQeu/mGleAUALTi72/R+VtgJ2NLYb2724aCsAUwdLabwQQggh9g4DGrT/+9//Zvz48SQmJpKYmMj06dP54IMPjNtVVWXWrFnk5ubidDqZOXMma9asidqH1+vl2muvJT09nbi4OE4//XTKy8sH4NkIIYTob/p69mSnlbQ4m3bdzjLtqkrqF//HqeZF2mWLgz87b2WNOoR1Fc34g6qxqf791MGp/fYchBBCCCF2xYAG7fn5+dx9990sWbKEJUuWcPTRR3PGGWcYgfm9997LAw88wKOPPsrixYvJzs7muOOOo6WlxdjH9ddfz9y5c5kzZw4LFizA7XZz6qmnEgwGB/CZCSGE6K1at5dfv7SMBSW1O91WX8+eEmcjyakF7Y076x7/yV8oLH0NgCBmOPcFdiRNAjDmtic5rShaM3oUBSZFzGcXQgghhBhIAxq0n3baaZx88skUFxdTXFzM3/72N+Lj41m0aBGqqvLQQw/xpz/9ibPPPpuxY8fy3HPP0dbWxssvvwxAU1MTTz31FPfffz/HHnsskyZN4sUXX2TVqlV88sknA/nUhBBC9NKn66p4b1UFTy3YvNNtG8IBeqrLRrLLCkBTT43ovnoAvn4YgJCq8O6w26H4eNLi7ACsCAfto3MSmThIC9RHZieS6LD++CcmhBBCCNEH9po17cFgkDlz5tDa2sr06dPZsmULlZWVHH/88cY2drudI488koULFwKwdOlS/H5/1Da5ubmMHTvW2KYrXq+X5ubmqC8hhBADoyXcWE7/tyf1rVqAnhLXEbQ3tvlRVbXTtr5vnoBPbzcu/ylwGS3DTgcgLV7L0q/Zof39z09xctakPACOHpnRB89KCCGEEKJvWAb6AFatWsX06dPxeDzEx8czd+5cRo8ebQTdWVlZUdtnZWWxdavWKKiyshKbzUZKSkqnbSorK7t9zLvuuovbb7+929uFEELsOe0+bTmT2xuIus5qVrDEdHCPyrSHy+MDIZVWX5B4e8d/ae6l/8X10c3G5aecl/KK5xieSXYCkBavZdq9gRAAeSlOfn5IIWPzkhgjo96EEEIIsRcZ8Ez7iBEjWL58OYsWLeJXv/oVl1xyCWvXrjVuV/RFhmGqqna6LtbOtrnllltoamoyvrZt29YHz0QIIcTuaPdHB+1ub4DD7vmM6Xd/xivflREIhoxtI9e0O21m7Bbtv7Gode1bvsT13q8xoWXffdN/y8PtJ0M4OAdID2fadfkpLhRFYXJBCnaLuX+fsBBCCCHELhjwoN1mszFs2DCmTp3KXXfdxYQJE3j44YfJzs6GcDY9UnV1tZF9z87Oxufz0dDQ0O02XbHb7UbHev1LCCHEwGgLZ9pbw0F7WV0bda0+alq83PLmKs59/BtCIS0A17vHp8ZppfGRJfIAVK6CORdhCmmXXwkcxYKCa4zZ7rl6pj28pl2XHw7mhRBCCCH2NgMetMdSVRWv18uQIUPIzs5m3rx5xm0+n4/58+dz6KGHAjBlyhSsVmvUNhUVFaxevdrYRgghxN6t3QjatX9bPFrAHW+3YDYpLCtrpKLZA0B9OKOe4tIy5XqJ/MZqN4+++SmB588Br7ZOfV5wMn8OXMYHq6sg3CFeL6FP65Rpl6BdCCGEEHunAV3T/sc//pGTTjqJQYMG0dLSwpw5c/jiiy/48MMPURSF66+/ntmzZzN8+HCGDx/O7NmzcblcXHjhhQAkJSVx+eWXc+ONN5KWlkZqaio33XQT48aN49hjjx3IpyaEEKKX2sLl8b5gCG8gaDSkK8qIo7HNT1l9G9sb2slLdlLn1jPtWtCdFM603/fWNzyv/hmLSQvQN9tHc23TtQQx8/Fa7bq85I7APLI83mxSyE507LHnK4QQQgixK3Y5aN+2bRuKopCfnw/Ad999x8svv8zo0aO58sord2lfVVVV/PznP6eiooKkpCTGjx/Phx9+yHHHHQfAzTffTHt7O9dccw0NDQ1MmzaNjz/+mISEBGMfDz74IBaLhXPPPZf29naOOeYYnn32WcxmWZMohBD7gnZfRwO6Vm/QWNue4LAQb7dQVt9GeUMbBw9Jpay+DcJr0AGSnVYcePmHejdDTRXaTtKG8afgn/A0ab1N9JFwuVFBe0d5fHaio1PDOyGEEEKIvcUuB+0XXnghV155JT//+c+prKzkuOOOY8yYMbz44otUVlZy22239XpfTz31VI+3K4rCrFmzmDVrVrfbOBwOHnnkER555JFdeh5CCCH2DvqadgC3JxBVHq/PS9/e0E5Tm98IwAelhtemO008Yn2UKaYSAKrVZJLOf501/9wARI+QiyyBT3RYsZgUAiFVSuOFEEIIsVfb5dTC6tWrOfjggwF49dVXjZnoL7/8Ms8++2x/HKMQQoj9WFTQ7g3QYmTarUZGvbyhnW0NWpY9Pd6Oy2YBVeXihkc4zrxUuy9OLvXdzPctiUbjuciy98jyeJNJMUrs9ccQQgghhNgb7XLQ7vf7sdu1ssJPPvmE008/HYCRI0dSUVHR90cohBBiv9YeEbS3+gLGmvYEh8UY0ba9sZ2tdVrQXpgWDrLn38uoHW8CoJqs3J9yK2vVwXz2QzWEg/uDh6Qa+44sjydiVnueZNqFEEIIsRfb5aB9zJgxPPbYY3z11VfMmzePE088EYAdO3aQlpbWH8cohBBiP6bPaSemPD7BbjFK17c3thvr2QtSXbD0OfhitnE/5azH8Aw6AoBP12mN5walOhmfn2RsExuc5yZpWfgh6ZJpF0IIIcTea5fXtN9zzz2cddZZ3HfffVxyySVMmDABgLffftsomxdCCCF6K7Y83u3pKI/XS9q3N7Szta4VgCNYCu/+vmMHx/8Vxv2E4uYtAGyq0bYrSHUxYVCysVleTKb9DyeNZHJhCieNzenPpyeEEEII8aPsctA+c+ZMamtraW5uJiUlxbj+yiuvxOWSbIUQQohdE909Pro8PifJgdmk4AuGWLq1gUlKCaetvwvUcKB/yK/h0GsBGJ6ZELXfQSkuxuYmkZFgx2UzkxYXPZu9OCuB4qzo+wghhBBC7G12a067qqosXbqUTZs2ceGFF5KQkIDNZpOgXQghxC5RVdWY047eiC4i024xm8hOdLC9sZ1gzQaest2HJeTRNh57jpZlDyvOio/ad0GqC6fNzGc3HolJUTCZlD31tIQQQggh+swuB+1bt27lxBNPpKysDK/Xy3HHHUdCQgL33nsvHo+Hxx57rH+OVAghxH7HGwihqh2XI7vHxzu0/6LyUpz4GnfwnPUeUhW3tuHgw+HMf4OpozVLRoKdRIfF6ByfHx4LlxAeGyeEEEIIsS/a5UZ0v/3tb5k6dSoNDQ04nR3rA8866yw+/fTTvj4+IYQQ+7HI9ezENqILB+1DE0I8a7uXQaYaANSsMXD+S2CxR91XUZSocveCVKn+EkIIIcS+b5cz7QsWLODrr7/GZoteG1hYWMj27dv78tiEEELs59oi1rMTHvnmDmfaEx0WCPi4uuovFJq2AlCpZJJ90RvgSOpyf8OzEliytQGLSSEnSUa5CSGEEGLft8uZ9lAoRDAY7HR9eXk5CQnS0EcIIUTvefzR/5+0eDrWtMfbzPC/ayhsWgxAgxrPIzl3Q2L33d6HZ2rr2vNSnJhlDbsQQggh9gO7HLQfd9xxPPTQQ8ZlRVFwu9385S9/4eSTT+7r4xNCCLEfiy2Pr3V7CYa0Re6p3/wNVr0GgEe1crnvJmw5I3vc36HD0jApMG1Iaj8etRBCCCHEnrPL5fEPPvggRx11FKNHj8bj8XDhhRdSUlJCeno6r7zySv8cpRBCiH3Wo5+V8FVJLc/+4mCcNnPUbbFBe2WT1hn+l5b3sX37IgCqYuI3vutYphZz2k7WqY/MTmTpn48jySnN54QQQgixf9jloD03N5fly5fzyiuvsGzZMkKhEJdffjkXXXRRVGM6IYQQB5Y2XwCb2YTF3FHEpaoqj3+5mRZPgOXbGpk+NC3qPu0xQXtFk4fTTAv5s+VF47rASX/nkzezoZfN5VJi5rELIYQQQuzLdmtOu9Pp5LLLLuOyyy7r+yMSQgixT2nzBfjX55t44svNHDkigycvnmrcVtnsMdaoN7X7urivFrRbTAqBkMrk0Crut/67Y4Mj/4D14MsZtmA+m2vcjMxJ3BNPSQghhBBir7HLQfvzzz/f4+0XX3zxjzkeIYQQ+5CKpnZ+8u9v2N7YDsCKbY1Rt6+vbDG+b2zzd7q/3j0+I8FOcvN6nrA+gE0JZ98nXwwzbwHg2V8cRK3bR16yVHQJIYQQ4sCyy0H7b3/726jLfr+ftrY2bDYbLpdLgnYhhDiAfL2xju2N7cTZzLT6gsa4Nt2Gqo6gvam9c9DeHu4eP8bVyN8895CgaMH/EvvBTD3lQVC0DvD5KS7yU2TuuhBCCCEOPLvcPb6hoSHqy+12s379eg477DBpRCeEEAeYqmatcdwhRdpa9TZf0Oj+DrC+0m1839hF0N7mC5JMC3e6/0KWomXpl4WG8Z+s28C8Wyu4hBBCCCH2K7sctHdl+PDh3H333Z2y8EIIIfZvNS1eAIoy4ozrIrPtkZn2rsrj/e2tPGX7Ozn+bQBsCuVwue8m7K74fj5yIYQQQoh9Q58E7QBms5kdO3b01e6EEELsA6pbtEx7XrITW7hrvB60B0MqJdWR5fExjeiCAU744Y9MMZVo+1KTucT/fzSQSIJDsuxCCCGEEOzOmva333476rKqqlRUVPDoo48yY8aMvjw2IYQQe7nqZi3TnpnoIN5hob7VR2s4aN9W34bHHzK2jcq0qyq8fyPFjV8B4DXH8Vv1T5SrGQDE22XOuhBCCCEEuxO0n3nmmVGXFUUhIyODo48+mvvvv78vj00IIcReriqcac9MsBNv14J2fcTb+ojSeGIb0c2/F5Y+C4BPNfPx2L+zvSQH2toAJNMuhBBCCBG2y5+KQqFQL7YSQgixv1NVtSPTnuAg3q79l6KXx28Ij3sryohjc01rR6Z96XPwxWxjPzf5f8XU7EOJL9tmXJcoQbsQQgghBPTlmnYhhBAHlmZPAG9AO5GbmWjvCNpjMu3ThqSCnmlf/yG8+ztjH68kX8nboUNxWs3G/QHiJWgXQgghhIDeZtpvuOGGXu/wgQce+DHHI4QQYi9S3tDGhqoWjhqRiRKema6rCZfGJzosOKxmI9DW17TrneMPHpLKK99tY7hvHeprd6Oo2mx2Dvk1c0tPA+px2SzE2c3GvhNkTbsQQgghBPQ2aP/+++97tbPYD3RCCCH2bTe+uoJvt9Tz1q9nMHFQctRtkU3oACNT3uINoKoqW2pbAZhckEKRsoOnbPehBNq1O489B47/K+3/XAiAy2Ym3tERqMuadiGEEEIITa8+FX3++ef9fyRCCCH2OqV1WuC9pdbdOWhv0dez2yGipN3tCdDsCeAPqgBkKY08b7+HVNzaHQcfDmf+G0wm2nxaVt5pMxMfkWmX8nghhBBCCI2saRdCCNGlUEil1q3NVq8JB+iRqpo7OscDJBiN6Pw0tmn3S7d6cfz3PPKpAaAtZSSc/xJYtPu0+7RSeafVTJytI1BPdEh5vBBCCCEEu9M9HmDx4sW89tprlJWV4fP5om578803++rYhBBCDKDGdj/BkJYt14P3SEamPVweHxfRPb6xzY+VAP+2PAhVqwAoV9MpPeJJDnMkGfto82tBu1Ye3/FfkpTHCyGEEEJodjnTPmfOHGbMmMHatWuZO3cufr+ftWvX8tlnn5GUlNSLPQghhNgX1Lo7sutdZdo7lccbQXuQhlYP91kf4yB1JQAtpgQu8f2BajU1ah9teqbdFt09Ps4uQbsQQgghBLsTtM+ePZsHH3yQd999F5vNxsMPP8y6des499xzKSgo6J+jFEIIscfVtuwkaA+Xx2d0WtPuJ3/xbM40a03msDh4PG82m9S8jlntQDCk4guPjHPZLEbQ7rSasZpl9ZYQQgghBLsTtG/atIlTTjkFALvdTmtrK4qi8Lvf/Y4nnniiP45RCCHEAKjZSaa9xsi0a+Xx+pr2o+rnMGzTcwCEMMFPnqYhdRLos9rD9CZ0hMvj9ey6lMYLIYQQQnTY5aA9NTWVlhZt9m5eXh6rV68GoLGxkba2tr4/QiGEEP2uodWHJ7y+XBe5jj2yVF6nl8dnJXZk2s8yfcXFLU8Z2/wv//cw8hSSXVpjucigXW9Cpyhgt5iMTL0E7UIIIYQQHXodtC9fvhyAww8/nHnz5gFw7rnn8tvf/pYrrriCCy64gGOOOab/jlQIIUS/qHN7mXHPZ1zw5KKo6yOz6/VtPvzBkHG51RvA7dUy5XojupyaBdxr7ai4ut//EzYNOgeAZKcNwOgqD9CuN6GzmlEUhckFKYzNS+QnUwb10zMVQgghhNj39DqdMXnyZCZNmsSZZ57JBRdcAMAtt9yC1WplwYL/b+++w+Qq6/ePv6fPbJvtLZtegYQ0ekcg0kEUlK6gX5EiARVBLJGfEgGNKBEElaKAoFJVWmgJMaQQEkgP6bub7b1OPb8/ZubszLYkZJOdJPfruvbKzJkzZ87ZHCP3fJ7n8yzkkksu4Sc/+cm+PFcREdkHVuxopN0f4pPSRgKhsDmfPL66bhhQ3+anIBrQY1X2lFgDubKPGPXud7BaIkH8g8yLeajyS/w4WmH3Rv9sTBgeH2tCF/m/Iq/HwX9uOXk/XbWIiIjIgWG3K+3/+9//mDZtGr/+9a8ZPXo0V111FfPnz+eOO+7g1VdfZc6cOWRlZe3bsxURkQG3oSoy5SlswM7GDnN79yHx8ZX36vg12ms/g2cuxRqMvPf18LH8Ke3bgIWslEiFPdMTDe3tvYV2NZ0TERER6ctu/5fS8ccfz5/+9CcqKyt55JFHKCsr48wzz2T06NH88pe/pKysbN+eqYiI7BMbKlvMxzvqu3qT9Bvao4/Hp7TB3y6BjnoAPgwdzkz/d6hqiQydj81l90ZDe3Mvc9pTHJrDLiIiItKXPS5veDwerr32Wt5//302btzI5ZdfzqOPPsrIkSM599xz981ZiojIPrOxqiu0l9bHVdpbIvPPs1Mj1fKaVh+GYfDaqgp+O28jGbTxk6afQNMOAIyCifxf4HZ8OCltiIT/zFilPfpnYy/d4z1O2364ShEREZED016NSRw9ejR33nknd999NxkZGbz55psDd2YiIrLPBUJhNte0ms9jYTscNqhri1TTDytKh2il/ZklO7jxmY8pr23gCfccSvxbIm/MHIblqhcIOyP7xoa+Z0Ur7bGKe2O7n3DYgPhGdArtIiIiIn363KF9/vz5XHvttRQWFnLHHXdwySWX8L///W9gz05ERPaprbVtBEKG+Tw2PL6pI2Bun1CYAdHQ/tqqCqyE+Vf+40xnXeRNKTlw1UuQXmgu2xYTm9MeGx4fNqA1WmGPBXuFdhEREZG+7dFEwtLSUp588kmefPJJtm7dygknnMBDDz3EZZddRmpq6r47SxER2SfWx81nByiLhvbYfPYMt53iTA8AVc2dfFLawD32J5jUvCDyBkcqXPlPyB0DQJrLThWR91oskBEN626HDbfDSmcgTH2rnx117VREm97FuseLiIiISE+7XWk/66yzGDlyJA8//DBf+cpXWLduHQsXLuQb3/jG5w7ss2fP5uijjyY9PZ38/HwuvvhiNmzYkLCPYRjMmjWL4uJiPB4Pp512GmvWrEnYx+fzccstt5Cbm0tqaioXXnihGuOJiOyGjdHQPmVoJgClDZEgXRMN7bnpLvLSXQAs3lLH9aF/cZX9ncibrXb46t9gyHTzeGluh/nY63Fgs1oSngNc+eclnP/QQn7/7iaIrtMuIiIiIr3b7dDu8Xh44YUXKCsr47777mP8+PF7/eHz58/npptuYvHixcybN49gMMiMGTNoa2sz97n//vuZM2cOc+fOZdmyZRQWFnLWWWfR0tJVHZo5cyYvvfQSzz33HAsXLqS1tZXzzz+fUCi01+coInIwi1XazzwsH4isxd7qC1LbGmlCl5fmIi8tEtov8P2H2x3/6nrzxY/AmDMSjpfu6qqax5Z563oeGSpf3tiB024llucnDsnYJ9cmIiIicjDY7TGJr7766oB/+BtvvJHw/IknniA/P5/ly5dzyimnYBgGDz74IHfffTeXXHIJAE899RQFBQU8++yzfPvb36apqYm//OUv/O1vf+PMM88E4Omnn2bo0KG8/fbbfPGLXxzw8xYROVjEOsdPG55FZoqDxvYApfXt1LYkVtovti7kHsdTXW/84r1w5GU9jpfq6qqaxzrGx+SmO9lQBUOzPTzx9WMoyfLQ2B6g0OvedxcoIiIicoDbq+7xA62pqQmA7OxsALZu3UplZSUzZsww93G5XJx66qksWrQIgOXLlxMIBBL2KS4uZuLEieY+3fl8PpqbmxN+REQONW2+oNl4bnxBOsOyUwAioT06PD4vzUVR5Xv82vFH833bDr8Rjr+p12Omubqq67HO8TG3nzWOb540khe/cyJj8tNwO2wK7CIiIiK7kDSh3TAMbr/9dk466SQmTpwIQGVlJQAFBQUJ+xYUFJivVVZW4nQ6ycrK6nOf7mbPno3X6zV/hg4duo+uSkQkeX1WHVnqLTfNRU6ai6FZ0dDe0EFNtNI+OfgpKa9cj90SBuCvwbPwnjurz2Omx3WPz+pWaZ8+PJsfn3+4OUdeRERERHYtaUL7zTffzKeffsrf//73Hq9ZLJaE54Zh9NjWXX/73HXXXTQ1NZk/paWle3n2IiIHnrLomuwjcyNhvSQ70iU+VmmfZNnC+Wu/hyUUCfAvh07gKe+NZKX1HbrT4ue0dwvtIiIiIrLnkiK033LLLbz66qu89957lJSUmNsLCwshruIeU11dbVbfCwsL8fv9NDQ09LlPdy6Xi4yMjIQfEZGD1ZItdXzzqY/MkB4Tm7ceq3yblfb6dtyNm3jK+SscwUhj0GXOo/l+4AamDM/p97PSEirtjn73FREREZFdG9TQbhgGN998My+++CLvvvsuI0eOTHh95MiRFBYWMm/ePHOb3+9n/vz5nHDCCQBMnz4dh8ORsE9FRQWrV6829xEROZQ98b9tvL2uin98lLgUZqxDfE5qJLTH5rTXlH3Gzxp/TLYlMnye4Sfy9+G/IIidY0dm9/tZqQmVdoV2ERERkb21293j94WbbrqJZ599lldeeYX09HSzou71evF4PFgsFmbOnMm9997L2LFjGTt2LPfeey8pKSlcccUV5r7XX3893/ve98jJySE7O5vvf//7TJo0yewmLyJyKKtoiqy9vq4iselmrNlcbnS4+9DsFHJp4kH/zym01gEQKjgS2+V/5/udTo4ZW8OXpg3p97PSNTxeREREZEANamh/5JFHADjttNMStj/xxBN8/etfB+COO+6go6ODG2+8kYaGBo499ljeeust0tPTzf1/+9vfYrfbueyyy+jo6OCMM87gySefxGazISJyqNvZ1AnA2p19hPb0SLgu8fh5xn0/o4h8gRrMHoP9mpfA7aXYDV87ZtguPyt+Tnv3RnQiIiIisucGNbQbhrHLfSwWC7NmzWLWrL67Fbvdbh566CEeeuihAT5DEZEDmz8YNsN5eWMHTR0BvJ7IsPWa6PD43DQX+FpwPPsVxrM18saMEuzXvAypuXv0efFz2jU8XkRERGTvJUUjOhER2TeqmjuJ/340foh8rBFdvisEz1wG5R9FXkjJhWtehsw9Xw4zodKeqkq7iIiIyN5SaBcROYhVNncmPI8NkTcMg9pWHy78HPb+t2HHosgOniy49lXIHfu5Pi9hyTePKu0iIiIie2tQh8eLiMjAafUFCYUNc/g7wM7GjoR91kYr7a2+IOGgn0cdD+IuWxl50eWFq1+CgiM+9znkZ7hIc9nxehykONVXRERERGRvKbSLiBwEwmGDi+YupM0X4p3vnWouvVYZbUKX7rbT0hk0h8fXNrXxkOMhvmCLBnZnGlz1AhRP3avzSHHaef3Wk3E5rFgslr29LBEREZFDnobHi4gcBHY2dbC5po3K5k6Wbqs3t1dEQ/up4/IA+KyqFb8/QMYbN3O2bVlkJ7sHrvgHDD16QM5laHYK+enuATmWiIiIyKFOoV1E5CCwpabNfPzh5jrzcWyN9qNHZJPuthMIBWn/1w3kbP03AH4ccPnfYcSJg3DWIiIiIrIrCu0iIgeBzTWt5uPE0B6ptBd53RxWmM4v7E+QufFfAPgNG48WzoLRpw/CGYuIiIjI7tCcdhGRg0B8aF+zs8lcjz0W2ou9bm4PPc5x9ncACGPjlsB3ySk4ddDOWURERER2TZV2EZEkFg4bVHVbti1m0aZaSuvbAdhc3TU8PmzA0q31+INhalt9gMHo5fdwXM0/AQhh5R/DfsKb4aPJTXPtpysRERERkc9DoV1EJIk9sWgbx977Dv9aXpawfWNVC1f8eQnf+utHAGypjVTaDy/KgOgQ+armTgzD4JeOp/Cs+AsAYcPC3eFvM896EgB5ac79fEUiIiIisicU2kVEktjiLZH56X+cvxnDMMztm6sjIX19ZQvrK5upavYBcNVxwwH4cEsdFY3t/ML+OFfa3gLAwMLdlpt4zn8yS7dGOsyr0i4iIiKS3BTaRUQGmC8YYnV5U0LI/rzKGyLd3zdVt/LR9gZze22b33z81KLtAOSluzjr8AIA1lc0kvHOHVwVncOOxYrlS49SWnIhAC2+IAC56QrtIiIiIslMoV1EZIDd9/oGzn9oIW+trdrrY5U1tJuP/75kh/m4tsVnPn55RTkAo3JTyUt3MWVIOvfa/8KE8hcACGOFLz0Gk7/K5KHehOOr0i4iIiKS3BTaRUQG2La6SFO4TdWtu9y3P82dAZo7g+bz/6yqoLE9UmGPNJiL6AiEABidnwbhEH/J+RuX298DIGRY+M+Yn8ORlwIwZWhWwmfkak67iIiISFJTaBcRGWDt/kjQbu4I7NVxYkPjs1IcHFaUgT8Y5qVoVb2u1d9j/zE5Lnjx/8jZ+A8AgoaVWwM30zT6QnOfySVdlXaX3UqaSyt/ioiIiCQzhXYRkQHW7o9Uvpv2ILRvrmllZWljwrayaGgvyUrhgslFACyPzmuPVdpd9sg/4y78XLjhLlj9LwAMq5370+7gP+HjOby4K6jnZ7gp9rohOjTeYrHs1bWKiIiIyL6lEouIyACLhfbmzt0P7df8ZSk7mzp48TsnMHVYZAh7eXQ+e0mWhxE5qQBUNEXWbK+LNqI78/AC3v10K486fktu+arIwWwuLJc9xa0jzuK86lYmD81M+KzJQzPZ2VSpJnQiIiIiBwBV2kVEBlh7tDP77lba/cEw5Y0dGAbMfm292XU+VmkfkumhKFodr2iMbIs1ortsYgZ/dd7HKbZoYHekwJX/gPHnkOqy9wjsAFOHRbYVKLSLiIiIJD1V2kVEBlh7YM+Gxzd2dM1PX7qtnrfWVvHFIwrjhsd7KM70AFDZ3Em7P0iLL0gmLZz4v+uwWzdE3uzKgCv/CcOO6/fzvnrUMMoaOvjK9JLPe4kiIiIisp+o0i4iMsDafXsW2pvaE/e77/X1BEKR6jvROe15aS4cNgthA9ZVNJNHA8+7foG96pPImzzZcO2/dxnYAbwpDu65aCJHlvSswouIiIhIclFoFxEZQIFQGH8oDL2E8b40RPcryHCRk+pkS20b766vNtdoH5LlwWq1UJARGSK/bcOnvOCcxXhLaeQAaYXwjdegeMq+uSgRERERGTQK7SIiAyjWhA6gxRckHDZYV9HMqQ+8x4sfl/X6ntja60VeDxdPHQLAC8vLzDA/JCsyNL7Y62GiZQszllzLMGtN5M3eYXDd65B/2D6+MhEREREZDArtIiIDqCMutBsGtHQGeXd9Ndvr2nnx4/Je39MYDedZKQ7OmVgIwLx1VQBkuO1kuB0AnOZYzXPOX5AeiiwNV+oYCde/Bdmj9vl1iYiIiMjgUGgXERlAbf5gwvOmjgA10U7vW2vben1PrBFdZoqTacOyyE93EW0gT0lWSuTB6hf4dtmdpFkiS74tCU/gj6PmQkbRPrwaERERERlsCu0iIgMovtJOLLS3RkJ7eWNHj9eJm9OemeLAarVwdrTaTrRzPEsehX9dj82IfCHwVmg61/jvJC0zZx9fjYiIiIgMNoV2EZEB1OZLrLQ3d3ZV2umj2h6b057pcQKYod1CmKvbn4LX7wAipfe/B0/nO4GZ+HCSm6p11kVEREQOdgrtIiIDKLZGe0xTR4Da1l2F9uic9tTI3PVjRmRTmAK/d8zl5Mq/mvvVTP0udwW/SQgbALnpzn12HSIiIiKSHBTaRUQGUGyN9pj4Oe0AW2pae7ynIVpp93oiod3e2cDL6fdxgW1xZAeLFc55AMdZPwEs5vtyVGkXEREROejZB/sEREQOJu3dGtFVN/to6ezatqW/SnuKE2o3wTNfobBpa+RFRwp85XEYfw5ewyDFaTOXlctNU2gXEREROdip0i4iMoDauzWa29Stst5faB/S9DH8+QxoiAb2tEL4xusw/hwALBYLRV63+T4NjxcRERE5+Cm0i4gMoB6hvToS2i3RUe1baloxYuu5RTV2+LnIupBRr18FnZE12Mk/Ar71DhRPSdi3ONNjHi87RaFdRERE5GCn0C4iMoBiw+PjQzrA+IJ0LBZo6QxS2+o39+/0+fmu8Sy/cz6MJRzdPuZMuO4N8Jb0OH6xNxLas1Kc2G36J1xERETkYKc57SIiAyhWac9Pd1HV7MMXDAMwNDuFVl+QsoYOtta2sbGqhWK3n6J3buFG+9tdB5j+DTj312Dr/Z/noszI8PicVFXZRURERA4FCu0iIgMoVmkv9Hqoau7qGp+b5mJkbiplDR38+q0N1Gxbw1PuObiNcgCCWLGfPRuO/XZXmb4XQ7NSACjIcPe5j4iIiIgcPDS2UkRkAMUq7cXexFCdl+5idF4aACnb3+UV508YFg3sDUYaP/T8HI67od/ADvDFiYVce/xwZp45dp9dg4iIiIgkD1XaRUQGUFt0nfbCXkJ7ToqD/7P9mzvtz2G1RJrRVXtG8eXGW8gvnLBbx09z2fn5RRP3wZmLiIiISDJSaBeRg04obLBiRwMTh3hxO2z79bM7ApHh8bGGcTGFrgDHrp5FhuPf5rY3QkfzF88PKW3wMz7FsV/PU0REREQODBoeLyIHnX9/spOv/PFD5szbuN8/u7dK+3jLDk5+71IyNncF9gVDvsV3AreyvCLSMd7rUWM5EREREelJlXYROejE1kbfHP1zf+qIzmnPTnXitFu5IPw+v3A8jrs5upybywtfeoSatskYmz8htmR7lirtIiIiItILhXYROeg0tEcCcl2bf5f7DrS2aPf4FGuA+x1/5mIjbjm3wiPhsr9C9kjGlzclvC9ToV1EREREejGow+MXLFjABRdcQHFxMRaLhZdffjnhdcMwmDVrFsXFxXg8Hk477TTWrFmTsI/P5+OWW24hNzeX1NRULrzwQsrKyvbzlYhIMomF9tif+1OHP8RwSyWH/ffLiYF9+tfh+nmQPRKAMflpWOMaxWemaHi8iIiIiPQ0qKG9ra2NyZMnM3fu3F5fv//++5kzZw5z585l2bJlFBYWctZZZ9HS0mLuM3PmTF566SWee+45Fi5cSGtrK+effz6hUGg/XomIJJP6aIW9fn9X2g2DMwPv8l/nj3DXRb5g7DCczHbdChf8Dhxd89zdDhsjclLN56q0i4iIiEhvBjW0n3POOfziF7/gkksu6fGaYRg8+OCD3H333VxyySVMnDiRp556ivb2dp599lkAmpqa+Mtf/sJvfvMbzjzzTKZOncrTTz/NqlWrePvtt3v5RBE5FDS2BwBo6QziD4Y/1zE+LWvkvN9/wMLPavvc55WV5fxt8XbCYQM6mwi/8E3usz5MmqUTgAr7UC7y/z9WZJ3T6/vHFaSbj7NUaRcRERGRXiRt9/itW7dSWVnJjBkzzG0ul4tTTz2VRYsWAbB8+XICgUDCPsXFxUycONHcpzc+n4/m5uaEHxE5eMRX2Bu7DZE3DAMj1v2tHy9+XM6anc28+HHv020a2/3c9vxKfvLyau577EnCD5+IdfW/zNeDky7nd6MeY6MxlLx0V6/HGFfYFdq9HlXaRURERKSnpA3tlZWVABQUFCRsLygoMF+rrKzE6XSSlZXV5z69mT17Nl6v1/wZOnToPrkGEdn/DMNImMteH/c4GApz3u8Xcs3jS3d5nC21bQBUNnf2+vpH2xqwGCFus/+LOypuw9pcCkCzkcLNgVuwXfII7jQvALlpvVfRx8dX2lNVaRcRERGRnpK+e7zFYkl4bhhGj23d7Wqfu+66i9tvv9183tzcrOAucpBo84cIhLoq6fFV9/LGDtZWREbWtPqCpLn6/idwS01kubi+Qvum9Sv5h/Mepls/M7fVZE/n4p3X0OgsxGKxcNGUYtbubOZL00p6Pcb4uEp7pirtIiIiItKLpA3thYWFEK2mFxUVmdurq6vN6nthYSF+v5+GhoaEant1dTUnnHBCn8d2uVy4XL0PVxWRA1tDt+Zz8aG9ITrXHaCyqZMx+Wm9HqMzEKK8sQOAqqZIaDcMg2eX7mBycToTy/7ONz6dhcsaOXYIK78NfJm24d+lfGcpedEvA6YOy+IfNxzf57mOyk3l9PF5pLjspPbzBYKIiIiIHLqSdnj8yJEjKSwsZN68eeY2v9/P/PnzzUA+ffp0HA5Hwj4VFRWsXr2639AuIgev7h3jG/qY317R1NHnMbbWthGb9t7mD9HSGWDJ1nr+9PI8Ao+fC2/+CBeRYwW8I/jLuEeYG/oSayoiQ+pTnLbdOler1cIT3ziGP1wxbc8uUkREREQOGYNa2mltbWXTpk3m861bt7Jy5Uqys7MZNmwYM2fO5N5772Xs2LGMHTuWe++9l5SUFK644goAvF4v119/Pd/73vfIyckhOzub73//+0yaNIkzzzxzEK9MRAZL97XZ69u6quuNcZX2iqbeh70DbKlpS3he1dSObekjvO78HR6j6/jPW8/jshsfw76sBj5dy7ro0PsUp6rmIiIiIjIwBvW/LD/66CNOP/1083lsnvm1117Lk08+yR133EFHRwc33ngjDQ0NHHvssbz11lukp3fNA/3tb3+L3W7nsssuo6OjgzPOOIMnn3wSm233Kl0icnDpGdp9vb5W2W9obzUfj7LsJO9flzCm5iOItsrYHs7nB4Fvkz/pC3zVlcaI3EjIb/EFYQ8q7SIiIiIiuzKoof20007rd+kli8XCrFmzmDVrVp/7uN1uHnroIR566KF9dJYiciCJr6wD1MdV1xt2t9Je24YLPzfaX+UG26u4aoLma08Ev8j9wa/SgZt7RmYDMCInNeH9Cu0iIiIiMlA0hlNEPrfl2xt48O2N/PT8wxkbt3zZYIrNW09322npDPY5p72ynzntaeUf8IbzIUZaq8xtO62F3NbxLcq80+iINqk7angktJdkpWCzWgiFI19CKrSLiIiIyEBJ2kZ0IpL8/rGslA8+q+Xfn1bs9bGqmzv52SurKa1v36vjxBrRjc6LdIav66N7fK+V9pYqjBe+yf9r/rEZ2AOGjQX5V3J+8H6WGIdxx9njsVggN81lLtnmtFsZkukxD5OqOe0iIiIiMkD0X5Yi8rnF5og3dwR2ue+u/O6dz3hmyY7ItJgLj+h33221bdS1+ZgerXT3dk6j89JYWdrYd6U9fv31UBCWPwHv/D8sviZzc5V3CldXX04qk6j3N2KxwNkTC/l7xnFkpjiwWS3mviNyU9kR/cLBo0q7iIiIiAwQVdpF5HNriob1Vl9wl/vuyoeb6wAoa+i/0m4YBlf+eQmX/vFDs5nclppWHnl/M52BEA3ROe2j8yPzzOvb/WbvjPhGdI3tATr8Idj8Hjx6Mrz2fYgG9gYjjfucN/HpjOfYaAxlVVlke1GGG5fdxnGjcphQmJFwXiNzUszHGh4vIiIiIgNFlXYR+dzM0N7Zf2gPhw3+vHALoTB857TRPV6vau5kS22kA3t/DeIAdtS3Ux6dU76ltpVCr5sH3tzA66srSXPZEirtAP5gmDZ/iDSXPWHJt+GWSsJ//xpsfSvh+JuLL+DSLecxecRozsuMBPFgdK760OwU+jI8rhmdlnwTERERkYGi/7IUkc8tFoL7q7R3BkLc9vxKXl9dCcClR5WQm+ZK2GfxljrzcX9LsQGs2NFoPq6KDnHfXhepzi/f3mDOaR+S6cFlt+ILhmlo85uhPY12bnW8wrXW13BuDXUduHgqnH0fT61IpX7LdkblpVGQ4U747OE5fYf2kbnxoV2VdhEREREZGArtIvK5NXZEAnJLH6E9FDb4xhPL+DAulDe2+3uE9tjQeKKN43zBEC5778F3ZWlXaI9V5SuineBXlDaaXyRkpzrJTnVS0dRJfZufghQLXw7+l5tdL5Fnae46YFohnPkzOPJr1LUHeGH5ewAcMzKbnFQnDpuFQChSaR/ebWm3eCPiQ7tL/7SKiIiIyMDQnHYR+Vw6AyE6A2EAWjp7b0S3eEsdH26pI8VpIz0aZJs6egb8+Eo7QHWzr8/PXbGjwXxc1dQZmcceDerb69rxhyLnlJUSCe1WwjhWP4/t4aP5ueMpM7D7DAcfDbsOblkOU64Aq5U/vLeZNn+IiUMyOOuwAqxWC/npXdX2Yf0Mjy/J8piN6VIcqrSLiIiIyMBQaBeRzyW+Y3xfc9pfWxVZCu6iKcUMz40E3uZuAb+iqYNtde1YLZCX7opu66SpPcClf1zEU4u2mft2BkKsreiqklc2d/Y6B97tsOJxWDnLsozXnXdy+JI7sDWXmq9vyDmTM/wP8Er29eCKzH0vb+zg6cXbAbjjixOwRgN4QUbXqID+QrvDZqUkK7Lsm4bHi4iIiMhAUWgXSWJ//XAb33xqGZ2B0G7svX81xof2XobHh8IGb66JzGM/Z2IRGW4H9LI8XGxo/KQhXkbnRYaYVzR18N6GapZta+DJuNC+ZmezOVSd6Pz3imhTui4GZ7vXwp/PZGbdzxlvLTNfmR86kv/zzOGjY+ZQZuQnBP4H3liPPxTm+FE5nDw219xe5O1af72/Oe0Alx01lFG5qUwfntXvfiIiIiIiu0sTL0WS2GMLtlDW0MGKHY0cPzpnsE8nQXwn9nZ/iFDYSFi3fNm2empb/WSmODh+dA7PLtkBQHO3qvyybZHh7seNyqG6JTIsvrKp0+xMX97YgWEYWCwWc2h8YYabyubObpV2gzOsH3OL/WWmBDZDeddnlKdNomz6HVz7po2p6ZkUeSND3iubI4H/rTWVvLxyJxYL/PCcCVgsXdcRa0aX4baTmeLs93dy0+ljuOn0MXv+yxQRERER6YNCu0gSiwXj7kPK98SDb29k+fYG/nLt0TjtAze4pjFuzXOi1Xavx0F9m58Up80cGj/j8AIcNisZnsg/N90r7dXRDvAjclPNIekVTZ3meu3+YJjaVj956S6zCd3ZEwt5ctE2alp8lNa3co51Cd/3vMro0NaEY9emjObOxovJHXERU1KzgFVkpTgpzIhUzyubOqlr9fGjl1YB8H8nj2LK0MyEYxR6I8Pj+2tCJyIiIiKyryi0iySpYChsDjtv2cU66H0xDIM/LdhCmz/EuopmJncLpADVLZ3c9cIqvnnyqD2q5jd2C98tnQHKGto5/6GFpLvsRJc255xJRQB9Do+PHScrxUEgFK2AN3WysarV3Ke8sYO8dJe53NsZh+Xz/OLNnM0iLl16F0Oc2yFuBkGZazQlF/6U15sn8/Yra5nRHjA/JzPFYVbaa1v9nP27D6ht9TOuII3bzhrX4zqnDcvCYoFjR2bv9u9GRERERGSgKLSLJKn4YeR9dWfflaaOAG3+UPQYvQf/V1bs5J311TR1BPjXd07Y/WO3J55Tqy/IxzsaMYyuc0932zlxdGR+eIYnGtq7XUtDtGLv9TixRoelb61tozRaaQcob+hgWHYK5Y0dZNDKMWVPscD5B/Koh7jDbbKP5VftF1I85Uvcc8Qk8qJrw5c1dDAyOl8+K8VJZoqD3DQXta0+alp8ZLjtzLlsCu5eur4fNSKbj398Fpkpjt3+3YiIiIiIDBSFdpEkFT/8/PNW2svjmrT1FfxrWyPzyFeWNtLmC5K6m2uMN3WrmLd2Bmloi5zzsSOzGZWXxqnjcs0h+Rnu2PD4xGuJhf/MFAdp0c/eUNXS7TraKdtcwSz7k3zVPh/XfB95ca8vC4/D+YU7eT8wibff+Yyf56cDcGSJ1zze6PxIl/isFAcWi4Vnv3Usq8ubKMlKYXxhOl5P36E8K7X/uewiIiIiIvuKQrtIkooPxZ+30l7eEB/aew/+ta2RoB0MGyzdVs/p4/N369iNHYlz2lt8QeqjoX368CzuOHtCwuu9VdoNw4gbHu9MaGQHYCHMidY1nLz8ESY0LeRIe1fn+DAW5oWm8+fguSwzxvPmhFO5ITeFE8fmmvPSizM9FHvd7Gzq5IPPagDwRpvJjStIZ1xB+m5dq4iIiIjIYFFoF0lSjQmh/fNV2nfGVdr7amZX1+YzHy/aVLv7ob378PjOrtCe3UtlOlbJbu62VFwoOvk9M8WB02bFYbOQGmrmUtt8rrK/y3BLJTR1HcdvdeM86hrmtp3JnOVdv5dCrxuX3cZRIxLnnk8bnsXOTyvM883SMHcREREROYBonXbZ51p9QS794yIeW7B5sE/lgNI8AKE9cXh8X5X2uNAeXTN9d/QYHu8LmvPTewvtXZX2rvOIBWmX3YrbbsVatpSH3I+yxHUzdzuejQT2qAZbDvcFvsYrp8+Dcx/AXdC1tFqq02YOv++u+5rpWbtYtk1EREREJJmo0i773JItdSzb1kB1i4//O2X0YJ/OASM+FH/eJd92Nnaaj/sK7XWtXcPc11Y009Dm36053LHA7fU4aOoI0NIZMI/Va2jvpXt8Y3uAfBq42rUY/vAzqN3A2QBxo+QXho7gBdsXWeE8nm1tAZ4fMgTi1k8nWmWPX1s93lHDEyvvaignIiIiIgcShXbZ56qaI5Xcz1stPlTFDz//vL+7sl00ojMMwwzasfC9eEuduUxbf2JfKpRkeWjqCEQa0fVbaY82ousMYPjbsWx4jSGLnuJD1wfYQgbUdu3baKTyz9CpXHDdj7jqsR2RDvHR8481lCvyesz9izM99GVCUToeh42OQKSLvirtIiIiInIg0fB42eeqmiPV3pbOAIZh7HL/A4EvGOI3b21g0eba3di7f+GwwQNvrueN1RUJ2/dHI7oWXxB/KAzAORMLYQ+GyMe625dkRQJzc2eQuuic9t6CcYbTwonWVdxjeQx+Mx5euJ7sigXYLHH3xLAT+PfIn3Cs7w886r6ewlGTEirjmSkOcqJfCBTGV9rjHnfnsFnNxnR9nZuIiIiISLJSaJd9rrolEtoDIQNfMBIQDcM4oAP83z7czkPvbuIX/1m318da8FkNf3hvMz99ZU3C9r2ttHcGQgnz1Vt8PYN/bUvk9TSXnVPHRRZRW1naaL7+0Duf8Yf3NvV4XyhsmHPTS7JSAKhp8eGP/v3mpEWDcTgE2xbCf24nZe5EnnHO5nL7e1h8zeaxyoxc/pN1NXx3BVz3OrVjvowPJ+MKIhX1IXFV9DF5aeYw+PwMl7m9qJ9KO3Hz2l12Kx5nz7XYRURERESSlYbHyz4XGx5PdD6zy27l8j8tps0X4sUbT8BhS97vjnzBEJuqWzm8KMMMi4FQmMcXbgWgoqljF0fYtSVb6wGobvHRGQjhdkRCZdNeNqKraOpMeN59fXTArIznpjkZlhMJ37GO89XNnfxm3kYATh2Xx8Qh3rhjdZ1bLFTvqG8HINUexlO2ENa/BmtfgdZIM7n4GedhewrWIy7mxfApfG9ZGl8tGc752aMAOHdSEYu31HHVccPN46/ZGQn5Y6JD4wHcDhvZqU7q2/wUefuutANMHxEJ7Tlab11EREREDjDJm5bkoBEbHk90CHWbP8TiLfWsKm9iQ2ULRAPqmp1N/RxlcMyZt5Hzfr+QVz/ZaW7776cV7IwG4ob2AL5gaK8+Y2k0tNNtibamuHXQOwIhAtFh7Lsr/lj0McS+LlqJz0lzmeG7rs1PZyBEadzQ+r9+uC3hfbHl6NJcdrJSHaTSwbi6d5jjeJgP7Tdg+etFsPRRM7ADYHfzvu14bvR/l5Vf+wi+9AhrXJMxsOKNGwJfkOHm0auP4uSxkcr/kKyuKvrovLT402B49IuGkbmp/f4uThqTy+XHDOP2GeP73U9EREREJNmo0i77XHylvaUzkDA8eUVpIxOHePneP1by9rpqXr7pxIT5x4Nt8ZZIoN5U3QrRYf2PLdiSsE91s4+h2Sl9HmN1eRMvryjn5i+MIbPbfOoOf4hPy7qGo5c3djAqGkx7LKnWGdytru7msaKhuyDDRVWzr9dqfW20CV1OqhOvx2E2bKto6kxYLu6VlTv50bmHmeff1O5nhKWCCxzrOXnJXD52LcJFELqPPLc5YcyZcMQlMP5sfvPYJ6xqa+Irwcg/PbEpAJmevq8rYXh8fmJov+/LR7JyRyPHjszu5Z1dHDYrsy+Z1O8+IiIiIiLJSKFdEoTCBku31jN5qJcU597fHoFQmLq2+NAexGnvqiB/UtrIV6aVMH9jDQArdjQkTWgPhQ02RkcCxLqiL9laz9qKZjwOGylOG3VtfqpbOhNC++zX1rGqvIknv3EMTruV373zGfPWVtHqC/KrLx+Z8BkrdjQQCHXN7S9riK+091wH/YNNtfziP2v5w5XTOHpE/0E11jl+QmEGVc01fYT2rkq7xWKhONPN5po2Kho7EprY+YJhXl68jq8X7YBN7zB+/Tzed5VBEKhMHPvebkkh5fCzYcJ5kcDu6fr7NDvIR4fqx5rZZfWzDFtJVt+hfVxBOuMK0vv9PYiIiIiIHMgU2iXBSyvK+f4/P+HrJ4xg1oVH7PXxalt9xPeba+4MYLd2JbyVpY18tL3eDK7b69r3+jMHyo76dnOZsIZoRXh1eWQI/2nj86hu8VHX5k8YSQDw7JIdtPiCrKtoZvLQTHOY+j+Xl/HtU0cnDOVeHDc0nm7d3uMb0RH93b2xuoLqFh///bSiz9AeChtYLV3D4ycUpjN/Yw3+UDhhzjxxa7TnRhvHFWd62FzTRnljBxUNzUyzbOSc1A1M8S9n6oJNQGSIfve2bzuNbN4OTWdeeDp5k85gzqXH9Hpu5lrt0aH6sWH2/a2dHmt053ZYE6ruIiIiIiKHAoV2SbBkS2S5r7U7u7p7v7ehmqFZHsbk73lFs3ugbekMYrV0hfbNNa28tabKfL69ru1znvnA21DZ9TuIVYRjFff8dBexy6iOm7NvGAZt/kgVubK5k8nRBnNEw/SDb2/kd1+bau4f+30Py05hR327OSS9MxAyO+3np7uobokMb4/9PtfHnVu8Dn+Is347H6/HQSgc+SIkvhLd0hlMDO3RURC5aS4IdHCSbT1TbQs4duGDXNj0KS5XZ6Sa3q37RcjiYHFwHNX5J3DsWZdywpM1Zrn966l9zy83Q3s0rMd+r95+hscfXpTBVccNY3xhBlarpc/9REREREQORgrtkmBVtJIc6wS+qbqFbzyxjBSnjWe+eSxTh2Xt0fHim9DRSzM0w4B/Li81n2+vT55K+7qKFvNxQ1vkvOuj3dazU11mN/mqlq4vJnzBMNGsTFVzJ8FQOGHZtVc/2cl3ThvNhMIMfMEQK6LLq10ybQgPvv2ZWWmPDY23WqDI6zZDe2W0Ad76yhYMwzDPIeaz6hbKGjoShtkPzU4hzWWn1RekpTNAXnp0qbSOBkpq/8cP7Mu4YHkZvL2Kb4cD4AAa6WFzuAjL2DMZdewF/HFrEQ+8V8rlQ4ZxSsk44G1zv+x+5t3HGs7Flotr2o1Ku9Vq4RcXaz66iIiIiByaFNrF1BkI8Vm04VplcyedgZC51Fa7P8Q3nlzGP759/B7NIa5u7rnsWPcm6J2Brg2l9e2Ewga2JKioxlezY+EyNpw8O82J0x4pP8d/MdHq65o3XtXcSW2rH8MAm9XCGRPyeWttFS+tKOeuczL4tKwJfzBMbpqLk8fmRkJ7Y2Jo93ocZHi6qtOxNe8b2wNUNfso7LbUWWW3Zd4AijPd5LjCjPV/hmv5RmhbC+XLoX4zPyL6r0Bdz+uvMHJYEh7PCWdcxBOVo3lkpZ+b88fw/XHjqduwFqJhO82d+M9If6E9wx2b0x7AMAxzCkBWipZiExERERHpjUK7mNZXtphDqok2RdtS0zVcvbE9wA1/W8473zu1R4W3Lz2HxwcIhCMh3WW3mkPAh2Z7qGry4Q+F2dnY0W839v1lfWVcpb3b8PjsFCep0S741XHX2O7rWv6tsslnBvr89Egwf2ttFZurI7/T2BSEKUMzGZIZud7KaHU+PrSnR4Pu9vr2hKZ16yqbe4b25k5c+LmkpIXR4W2MDmxkyD/u5x3/KuyuECzu54KzR1OZNZ3712WzKWUyn7ZmABbWn3g2+Ut3wMq1bKyK/E4ao8vRZXocuOw2nHYr/ujfZb+h3dM1p73VFyQYvd/6q7SLiIiIiBzKFNrFFGuyFlNa386W2kjA/PYpo3h0wRa21LbR6guS7t69kBULreluOy2dQVo6g2ZQP3ZUDguiXeNPGpPLkq31bKlpY0d9+y5Dezhs8H9/W47LYWXu5VN3+0uE3dXmCyY0xWv3h/AFQ9SZw+Od5hcc8ZX22Hz22Pb40D4yN9L5fEttZDTD5prIn2Py08hPd+GwWQiEDCqbO80KtDfFSbor8rveHB0FEbO+ooXThwCVqyI/Vas5Z9NyrnBtw14bN5yhpef/0H2Gg5q08cxrGsJH4fH88tZvkVkwjPaaVl5cMx+iH5Wb5sTtsJmjK2IjMWJLxXmjITzdZacu2PW76UtsTntTR8C8RpfdmjDPXkREREREuii0HyJCYQPDMLDbrH3u0z2076hvZ0s0WB41Ipu/Ld5Ouz9EfZt/90N7dL732Pw0Pt7RGO0eHzmHk8bk8L9NtYTCBsePzqWq2ceWmja21bVx4pjcfo+7ra6Nt9dFGtjde/Ekc670QIlVlHPTXDS0+wmFI0O5Y3Pac9Kc5ipn1XFz2tvjQntlc6f5Wn6Gm1F5kQZtO+raCYTC5trvo/NSsVotFHk9kWZ0DR2JlXaXjTwaSN25mattmxljKWespZyJH1TA+w0J551H4vJrERbKHcNY1DGcUVNO4cntubxRk43H4qY5GMRmtfBQ3lAAiryJ3dlj3drHFkS+cNhW10abL8iK7ZHPPbw4A4A0tz3hC42+xC/5FrtGDY0XEREREembQvshIBAKc97vPyBswH9uOSmhqrmtto15a6u44thhrN4ZCe1Dsz2U1newva6drdFK+6i8VHLSnLTXd1Db6md4Tt8dwuPF5rSPMUN7EFu0Kl7o9XDZUSWs2NHIaePz+DgaBHfsxrJv8UPXa1p9Ax7aY8c/rCidNTubqW/zU9vqSwiasTntTR0Bcym11rjh8VVNneb1F2S4KMxw43HY6AiEKK1vT6i0A4zJCJPesA1jbSXDGrZxv/0Tjq6uobh8Bz92t0IbkSZxMSF6CGJnY3gIacOnMOywY6BwEhRP5Vcvbebfn+zkxwWH8f7qzwgQJBBtBped6jS7snucNrJTneaXE0Oia6TnpbnISnHQ0B7g5ZXltPiCZLjtHFHsBSDN1fVPSX8hPH7Jt9hUAw2NFxERERHpm0L7IeB/m2rZWBUJiG+uqeSiKUPM1x54cwP/XVXB8u0NbIgG1XMnFvHogi18tL2edn8Im9XC0KwUclJdlNZ3UNfq6/OzuosNDx8bXS6upbOrEp3pcTD7kiPN5yNyIkPit+3Gsm8Job3FZwbfvREKG9z+j5V8uLkOR3REwmFFGZQ3dlDf5mdbbbu55nxWigOb1YLbYaUzEKa62cewnBTa4xrRtfiC5vSCgnQ3VgymZfvwVW+iYdE2rmhfxnBHFZPe+A00buPx9jpwAR9F3n+MHejZV85UZ2SQNXIq1qJJUDARCidyzt8q+azOz/OnH8ewUTnmvrF58eWNHQl/BwA53SrjRV53V2iPVtotFgtjC9JZurWepxZtA+C4UTlmw8DE0N53CI9vqmdOAfAotIuIiIiI9EWh/RDw2qoK8/Hzy0oTQntsiPYbayohWvU8bnQOjy7Ywqdlkcr7sOwUnHarGe5igW5XfMEQDdFgNiY6vDrWNZxewlqser99dyrtFV2d3Wv24EuE/tz/xnpeWbkzYdvhRRks394AtJmV8cwUhznNoCDDzfa6dqpaOhmWGsBWu57TrCsottRTZKlj3JZGrnRUM2l5Myyq5pmQPxLMV8D02P/6dvY4lQRtnmKWteaxyShmkzGEadOO5aFVVkp9Hl6bcbI5RN0wDEqby6CXYe6x0L6uouf67uYScFHFmR5z1YBYaAcYV5DG0q315hdAJ4yO/1Ig8nfp9Tj6nYLRVWkPmmu0a3i8iIiIiEjfFNoPcoFQmLfWVpnPF22uY3tdG8NzUjEMw1yPPWZisZfh3ZrAjcqNhOmctEi4qtvN0B7rqu60WxmaFTlmS2egz47hw6OV9h317b2uQR6ve6Ud4JPSRlbsaODaE0bscWO6F5aX8eiCLQD86NwJBEIGnYEQ504s5L0V62i2lGHbtpOLrVuYYG+HN+dDazVzAxtxOWsY+XQTBFuZAcyIz6BBwAbs6nuI9GKqHcW8V52GJWck7alD+ddWJ1+ZcTqFebnc8PRyc9cpQydRVFtO6dZ61lc2m6E9Mkw/0oAuPyMxiMfCcmzt+QmF6ZQ3dNDiC/aotBfHdaQfktV1L3Rf6u+EuL4DsS8F+pvPTtyc9lDYoLwxMoxAw+NFRERERPqm0H4QqGzq5HfvfMYNp47qMdd80eY6GtsD5Ka5mFCYzsJNtfzjo1J+8MUJ1LT66AiEsFpg+vAslm1rYNqwTIZkebBYMIeCj4yG9uzUSBCMrVW+K7E1xQsyXOb63C2+oHncTE9iwCvJSsFqiXRqr2n1kZ/u7nnQaGf3+C8bYqH9zhdXsa6imXGF6Zwwuo9GduEQdDRAez2010FHPf7mGrb9Zwl32ps5scjCpLIgtFZCazUsruZ34UCkOl4KOAE/8GHkcJMArNFw3o+QMwNbZgmVllzeKHezwyhgu5HP5COn8t0vnwkOD5s21/LDPy1hVCiVYY4UVhs1XJPuNX93MQUZbg4rjAxVX1nayCXTSgCoiK7Rnp3q7NGNPRaqY3PyR+encXhRBi+uKKewW1W+OK66Hl9pj01xINqgb2zclITY8PhdhXaPw4bdaiEYNiiN/h0OdD8CEREREZGDiUL7QeCJRVv5+9IdNLT5+ePV0xNee+3TyND4sycWcMLoXBZuquWfH5Vx25njzNBU5PXw52uP5rVVFZx/ZBEuu42iDDc7oyFwVF4knOWalfbdG44eW6O9IN1tzmWOBXaLpStIxjjtVoozPZQ1RJrg9RraDYON5dXk00C6pZ0M2smuKMdYtYaj6xZxiq2N1IXvwHordDZFfjrqu0J6ZxNgJH4u8D1rNHzXRH/2QIfhpMOdT3bRSFa3ZfBuhYOdRi4VRg47jRwqjGzmf/9CctJcVJc1Mmvu/8z3njz0cHBEgnFsNEJpQzv+UKRiHlmnPTHUFmS4OW1CPk99uJ1/flTGd88YS26ai8po/4DCjJ6/t+6/65IsD988aRQFXjdfP2FEwmtF8aE9K3F4fMwJo3MSRjOkRY+/q6HuFouFDI+D+jY/K0sboZcvb0REREREpItC+0Egtn73+xur6fCH8DgjVdZAKMybayNz1c+dVMRRw7PJTHFQ3eJjVXmTWa0elp2C1+Pg8mOGmcccmp1ihvauSns0tO9mpb2+1YeTAEPcnbjayplg24kz3EGqpZNcZwjrmg7wt0V+ApE/f2LdTJO9iez/PgFeINAO/lbobI4Ebl8zU8NBlsbn0h2Rn3tiwXtr9GdvWKyQmgdp+Wz3pbO0xk41mdQYmYwdNZorzzga0gp4/JN27pm3gy8dXsJvvzqFF/69hidKtyUcymGzmGE29ruMGR1XrS7J8jB9eBbLtzdQ1tAB0WZ93QN3odfNYUXpTC7x8klZE39asIW7zj2MyujfV5G3l9DuSgz+JVkp5KW7+OHZE3rsOyTTHX2PPaHvQE6ai9w0J7Wt/oT57AAF0XnxJVkedmXK0EzeXV9NeWPkGvtrXCciIiIicqg7aEL7ww8/zAMPPEBFRQVHHHEEDz74ICeffPJgn9Z+EetQ3hkIM39DFWdPyIaQn03l9Tjaq5ngtnBMegP2+louyK/l0+01VK/xE27r4BTrNr5gz4K1VRAKRH98XG5sYbKtGjcBjtywGD4LclxtA792lJNXZcDf0yHQAUEfBKN/Bjog2Bn5CXRyZbCTq9wGbAcehDe6Z7MXel7LF4nelZ+j4t0vtxdScsCTHfkzJfKn4cnigQU1bGl3860vTmf6hDGR11NzwRr58mPR0h3c9eIq81A3DhkNIyJhNzu7HCg1u+S3R5d8y093da3Rnu42l1RLdzvIS3eZQ/rju95bLBYeuXIaF879n1k196YkhnanzUpWigOLxcLMM8fxjSeX8dcPt/OtU0aZw+MLegvt3YL/0H7C9ZElmcw4vIApwzJ7vPatk0fxzvpqzplYlLD90qOG4nLYOPOwgj6PG/PIVdN4+L3NPPL+ZvyhcEI1X0REREREEh0Uof35559n5syZPPzww5x44ok8+uijnHPOOaxdu5Zhw4btxhEOABWfwCs3R0J1OAAhP4QCGCE/r7S1Y3eFcBDE/kLYfMthwLJYfns48sf/g8j87CWR5192dlWq410MXBwL2UsjfxQDX7EBAWDDrk95z1rB9XcgG7gzIsHblcHqegvlHQ4K8/NZXhUm5EznpCNG8fjHDbQYKdhTMpj7jdP515pmZr+7k6tOn8xtXzyi10NvrGzh4dcW4LJb+e3xM8Bp67FP90pw/LztWMO3WGhv9Ucmt4/KS+0K7d2awo3KTaWmxUeq09ZjKHt+hps/XXMUlz66iLABRRkec+RE7FixYemnjc9j8tBMPilt5E8Ltpjrnhf1Ojy+Z6W9Lw6blceuOarX17596mi+feroHttTXfaEkRr9cdlt3HbWOC6eOoQNlc2c2Ff/AREREREROThC+5w5c7j++uv55je/CcCDDz7Im2++ySOPPMLs2bMH+/QGRtAPlZ/22GwB0gcsHX9OFivYPeBwg73rp7Q1zM5Wg/ycbEYW5TNvcxvlbRbacZOXk82lx40HZ2qPH7/Vw20vfcbCHZ18+dix/PTiqZFJ8NFlza68Zx5NgQBPzjiae55YhjUEd+RO4J+h9ZHzaYXZOZP4x9aPqMPL797bRm5GKlcfP6LHqb+7vhqA40fnJITjeJnd5mknhPbovPtYQI+t0z4qL43FW+qj+3QL7XlpLNlaz+j8tF673E8q8fLf755Mmy9oNmlz2a34gmEK4gK5xWLhltPH8M2/fsTzH5UyPtrdvbCXSnusa3vM7gxj39dG5qb2mC4gIiIiIiKJDvjQ7vf7Wb58OXfeeWfC9hkzZrBo0aJe3+Pz+fD5upqpNTf3XLs66didGFYHIYsDm8OJxeYEm5OOkIXylhBWu5NOw0Z7yMbowiyy0lJYVdVBeXOIsUVZjC7MBpudloCVf62sImR1YLU5afJb+NpxoyjKzgCbE2wOsDnwW1y88EkNR44s5Ihh+WD34Lc4OPsPy/AZDl7/3gwy0tMiTdRsvc9Jvu/Zj/nPpxX8dPrhjDxpJE/8aTGLmuoAuKCwmEuPn9rr+5zAyUel8d8dq9jUEDQDO0BlcydNHQFsVgvHjszBaoGwAavKmxKOsbGqhU+ijc4AfvrqGobnpHLKuLyE/d6LhvYzJuT3+avv3lwtPrTHHrd0BgmGwrT5I8PjR+d1DXsv6Fb5ji3RdkT0z97Ev59opdzX6utRmT99Qj5FXjcVTZ0s2Rr5kqD7Gu10q7Tnprl6dJcXEREREZHkdMCH9traWkKhEAUFiXNpCwoKqKys7PU9s2fP5uc///l+OsOB4cubyJTA03QEQsy77RTGRquqz3ywhV/8dx3njS8iK9XB04t3cHnhUGZfciQ/eHAB6wMtPP6Foxg9IfL7SQ0bzFn1Fi2+rjXKvv6Fs6DbUl1O4PJumdoJ1DiraPEFqSGDDHdisOyuuTPyGbHO8fHzqjM9/TcfGxZbs72uLWH7+ug646NyU/E4bWSnuqht9bFyR2PCfv/+pAJfMExmioMvjM/nxRXlvPhxWUJob+oIsHxHA0TDb1+6D4/PSe2qnHs9DnN5vMaOAG3R3+uInBRze/fQfun0ElKdth5fIPQnw22nttXX41g2q4VLjxrK79/5zNxW6HX1eH9sSTaSpMouIiIiIiK7xzrYJzBQug8zNgyj16HHAHfddRdNTU3mT2lp6X46y8/PZbdx1IgsAN7f0NWhbWu0Cd3I3FS+EA2ei7fUEw4b5mujcrvCtdVq4bC4Cm+6y07mHnTvzknr6iD/8Y4G/rZ4O4Zh9Lpvc3RN8Ng64xlx1d5dfeaI6HrzZQ0dBENd8/TXV0ZC+4SiyDXElqGLdSIvjg4Nf3llOQDTh2Vx8rjInOnabl3vl26tJxQ2GJWb2u8c7+7D47NSu87dZrWYHdYb2vy0RyvtGR4HuWmR8Nx9eLzbYeOSaSXm67sj9oVHQUbP91w6vSR+MEKPdddj5xkL7grtIiIiIiIHjgM+tOfm5mKz2XpU1aurq3tU32NcLhcZGRkJPweC08ZHQvn7G6vNbfGhffqwbCyWyLZPyhrxBcM4bdYeIS1+WPbQ7JQ+v9zoTWw4eH2bj1ufW8FPXl7Na6t6H9HQ3BkN7WalvSvsendRaS/McOO0WwmGDbMrOsD6yshUhgmFkZEGed0Ccax63dge+expw7PMynhta+L68ku2RIbqHzsqu99zcdqtpMbNd4+vtBM3fL6hvavSnuK0MSY6xH1UXv8jEnZHbJ56b3PAh2ancNKYyBcT6S57QlU9Xiz49/cFhYiIiIiIJJcDPrQ7nU6mT5/OvHnzErbPmzePE044YdDOa184bXwkkC7b2mCGwy010Wp6XireFIfZjOwfH5UBMCI3Bbst8a95YrHXfDwse88CXE60Orx2ZzOl9ZHq9t+X7uh13+aO6PB4d8/h8bsK7VarxVyWbFvcEPkNsUp7H6H95LGJQ86nD88yK9rdK+2xOeDHjkxcc7w3sWq7x2Hr0bAuNmqgPq7Snuq08+vLJvPna45iWi9Lp+2pn5x/OL+5dLI5mqK7K6Kd20fm9d3YrSu0q9IuIiIiInKgOOBDO8Dtt9/On//8Zx5//HHWrVvHbbfdxo4dO7jhhhsG+9QG1KjcVIZme/CHwizaXEebL2iu5x2rwMaG0P/7k53R9/Ss8h4xpKvSHps7vrtyopX2eeu6qv0LN9WyvdvccxIq7dHh8Z744fHOHvt3Nzw6RH57XTsA/mCYTdWtEDc8Pj60Z6c6mTSk6wsJu9XC5JJMcwh9fZuPcNgwz23Nzkjzul1V2okbEp+d2vO8s81Ku5+26JJvqS47QzI9nHl4wR6NZOhLSVYKX55e0uMLmJizJxby4FencP9XjuzzGLF7If53JCIiIiIiye2gCO1f/epXefDBB7nnnnuYMmUKCxYs4LXXXmP48OGDfWoDymKxcNq46BD5DdVmBTo71WmG4KNHRAJoa7QSPzq/Z+V1dF4aTnvkr37oHlfaI5+zriKx4/5zyxL7AnQGQviDkbnovTai24159MNjzejqI6F9c00rwbBButtuzl3Pi5sXPiTTw5Asj3ltRxRn4HHayIoG7bCBuZb58m0NhI3IZ/TWbb272BD43kJ77He/s7GD2PT+VNf+7c5usVi4eOoQJhT2PdXj15dN5rXvnszkoXtf+RcRERERkf3joAjtADfeeCPbtm3D5/OxfPlyTjnllME+pX0iNkT+/Q015tD4+HnOR41IrBr3Vml32KxMjQa3w4vS9+jzu8/nnnF4pG/APz8qNUM6cVV2iwXSnLFGdLvfPR5gePQLhVgVP35ofKx6HV9pL8nyYLNaGBmt0E8bnmVeb6wDfF1bJLQv3hqdzz5y11V24oJ5r5X2aBW+vKHDvGZPEi6pluaym8vNiYiIiIjIgeGgCe2HiuNH5+C0WSlv7DCX+YoP7UMyPWYVGmB0fu9N0H73tak8dd0xTBuWtUefH6u0x9xx9njy0l3Utvr57dsbzU7ysfns6S47VmskYGfsQSM6ehkev85sQtcVPOND+5DMSMX85LG5WCzwxSMK4847Oq+9JdKMbvGW3Z/PTtyyb/1V2suiHexTnfYBGRIvIiIiIiKi0H6ASXHaOTVabf8sOr97XEFiMI+vto/qozFZodfNqePy9jhcxlfas1OdjM5L4/szxgHwyPub+fVbGzAMg5ZunePp1j0+YzdC+7C44fGGYZhrtI8v7BodkN+t0g5wx9kTWHzXGRw3qiuQx+a117b5afUFWV2++/PZiU4pABjTy5cgsaHzsUp7ijP5quwiIiIiInJg6n1tKElqcy6bzPyNNZTWd+APhvlatHN4zFEjsnj1k53kpbsSqtsDIb7SPHVoJhaLha8ePYw2X4h7/rOWP7y3mYnFXlJcPddmj1XpM9x23LsxfLwky4PVAu3+EDWtPnN4/GFxQ/rz0rpGFQyJLmXmtFspyHAnHCtWaa9r9bG6vIlQ2KDY697t5c+uPHYYE4dkMGlIz/ngseHxFU3RSnsfS66JiIiIiIjsKaWLA1C628H5Rxb3+foXjyjksQVbOO/IogH/7Ny44fFT45Yyu+6kkWyobOH5j0r5eEcDR5ZEXot1jgcozvTw/y6eSGG3QN0Xl91GkddDeWMHn5Y2mZ3yxxV0hfYMjx2n3Yo/GDaHx/d63tEvG2pbfWyLrm0/pmD35/PbbVamD++9Kh8bHh9tTK9Ku4iIiIiIDBiF9oNQQYabhT/8wj45dlZcpb37fPhx0WHrO5s6GZEbHR7frdJ/9XF71tF/eE4K5Y0dPLZgC0Sr7/HD7C0WC7eeMZbN1a3m2u29yTUr7X5C0X55I/dwubu+dJ/nrkq7iIiIiIgMFKUL2SMOm5VTxuVRVt/O1G6hPdYAr7Kp02xEtztz1/szPCeVRZvrWLot0jjuy9NKeuxz0+ljdnkcsxFdq4+mjoB57IHQffm6VFXaRURERERkgCi0yx576htHYxiYXeFjCqOhvaKxw1zybW/n1I+Iq4Z/76xx3PyFXQf03piN6Fr9dAZCkWPnDkylPdOTWGlPUaVdREREREQGiNKF7DGLxUJvTeeLo3PKq1p8NLZH1kOPn9P+eVw0ZQgf72jggsnF/c7j35VYpb2mxUd9dK32gaq0O+1W0l12WnyR0QWqtIuIiIiIyEBRaJcBk5vmwm61EAwbbK6ONHvb20p7odfNo1cfNQDnFl2WLbqWutUCQ3ezc/zuyEx1dIV2VdpFRERERGSAaJ12GTA2q8Vcam1DVWR5tnR3cgTYWCO6mCFZHpz2gbv9s1O6hsinOpPjmkVERERE5MCn0C4DKjavPdbsbW8b0Q2UFKcNt6Prdh8xQEPjYzLjQnuKS8PjRURERERkYCi0y4CKhfaYvR0eP1AsFktCtX2gQ3tWXAd5VdpFRERERGSgKLTLgCruHtr3shHdQMqJC+3DB2iN9pj49es1p11ERERERAaKQrsMqEKvJ+F5slTaAfLSuoL1wFfa4+e0a3i8iIiIiIgMDIV2GVA9K+3JE9pzUuOGxw/QGu0x8ZV2rdMuIiIiIiIDRaFdBlT8nHaLBdKTKMDmRCvtFgsMzR7g0B43pz1NjehERERERGSAKLTLgCrO7Boen+ayY7VaBvV84sUa0RV7PbjsAxus45d8S1EjOhERERERGSAK7TKgctNc2KJBPZnmsxPXfO6wovQBP3am1mkXEREREZF9QOlCBpTNaqEg3cXOps6kms8OcNr4fH73tSkcPSJ7wI+dldp1rVqnXUREREREBopCuwy4okxPJLS7k+v2slktXDRlyD45dnaq05y/n2wjDERERERE5MCVXKlKDgqxZnTJVmnfl1x2G//8zvEYBjjtmnUiIiIiIiIDQ6FdBlxs2bdDreI8oTBjsE9BREREREQOMioJyoA7fUI+2alOThufN9inIiIiIiIickCzGIZhDPZJDLbm5ma8Xi9NTU1kZKhaOhAMw8BiSZ7l3kRERERERJLJ7uZQVdpln1BgFxERERER2XsK7SIiIiIiIiJJSqFdREREREREJEkptIuIiIiIiIgkKYV2ERERERERkSSl0C4iIiIiIiKSpBTaRURERERERJKUQruIiIiIiIhIklJoFxEREREREUlSCu0iIiIiIiIiSUqhXURERERERCRJKbSLiIiIiIiIJCmFdhEREREREZEkZR/sE0gGhmEA0NzcPNinIiIiIiIiIoeAWP6M5dG+KLQDLS0tAAwdOnSwT0VEREREREQOIS0tLXi93j5ftxi7ivWHgHA4zM6dO0lPT8disQz26fSpubmZoUOHUlpaSkZGxmCfjkgPukcl2ekelWSne1QOBLpPJdkdKPeoYRi0tLRQXFyM1dr3zHVV2gGr1UpJSclgn8Zuy8jISOqbT0T3qCQ73aOS7HSPyoFA96kkuwPhHu2vwh6jRnQiIiIiIiIiSUqhXURERERERCRJKbQfQFwuFz/72c9wuVyDfSoivdI9KslO96gkO92jciDQfSrJ7mC7R9WITkRERERERCRJqdIuIiIiIiIikqQU2kVERERERESSlEK7iIiIiIiISJJSaBcRERERERFJUgrtB5CHH36YkSNH4na7mT59Oh988MFgn5IcAmbPns3RRx9Neno6+fn5XHzxxWzYsCFhH8MwmDVrFsXFxXg8Hk477TTWrFmTsI/P5+OWW24hNzeX1NRULrzwQsrKyvbz1cihYPbs2VgsFmbOnGlu0z0qg628vJyrrrqKnJwcUlJSmDJlCsuXLzdf1z0qgykYDPLjH/+YkSNH4vF4GDVqFPfccw/hcNjcR/eo7E8LFizgggsuoLi4GIvFwssvv5zw+kDdjw0NDVx99dV4vV68Xi9XX301jY2N++Ua94RC+wHi+eefZ+bMmdx9992sWLGCk08+mXPOOYcdO3YM9qnJQW7+/PncdNNNLF68mHnz5hEMBpkxYwZtbW3mPvfffz9z5sxh7ty5LFu2jMLCQs466yxaWlrMfWbOnMlLL73Ec889x8KFC2ltbeX8888nFAoN0pXJwWjZsmU89thjHHnkkQnbdY/KYGpoaODEE0/E4XDw+uuvs3btWn7zm9+QmZlp7qN7VAbTfffdxx//+Efmzp3LunXruP/++3nggQd46KGHzH10j8r+1NbWxuTJk5k7d26vrw/U/XjFFVewcuVK3njjDd544w1WrlzJ1VdfvV+ucY8YckA45phjjBtuuCFh24QJE4w777xz0M5JDk3V1dUGYMyfP98wDMMIh8NGYWGh8atf/crcp7Oz0/B6vcYf//hHwzAMo7Gx0XA4HMZzzz1n7lNeXm5YrVbjjTfeGISrkINRS0uLMXbsWGPevHnGqaeeatx6662GoXtUksAPf/hD46STTurzdd2jMtjOO+8847rrrkvYdskllxhXXXWVYegelUEGGC+99JL5fKDux7Vr1xqAsXjxYnOfDz/80ACM9evX76er2z2qtB8A/H4/y5cvZ8aMGQnbZ8yYwaJFiwbtvOTQ1NTUBEB2djYAW7dupbKyMuH+dLlcnHrqqeb9uXz5cgKBQMI+xcXFTJw4UfewDJibbrqJ8847jzPPPDNhu+5RGWyvvvoqRx11FJdeein5+flMnTqVP/3pT+brukdlsJ100km88847bNy4EYBPPvmEhQsXcu6554LuUUkyA3U/fvjhh3i9Xo499lhzn+OOOw6v15t096x9sE9Adq22tpZQKERBQUHC9oKCAiorKwftvOTQYxgGt99+OyeddBITJ04EMO/B3u7P7du3m/s4nU6ysrJ67KN7WAbCc889x8cff8yyZct6vKZ7VAbbli1beOSRR7j99tv50Y9+xNKlS/nud7+Ly+Ximmuu0T0qg+6HP/whTU1NTJgwAZvNRigU4pe//CWXX3456N9RSTIDdT9WVlaSn5/f4/j5+flJd88qtB9ALBZLwnPDMHpsE9mXbr75Zj799FMWLlzY47XPc3/qHpaBUFpayq233spbb72F2+3ucz/dozJYwuEwRx11FPfeey8AU6dOZc2aNTzyyCNcc8015n66R2WwPP/88zz99NM8++yzHHHEEaxcuZKZM2dSXFzMtddea+6ne1SSyUDcj73tn4z3rIbHHwByc3Ox2Ww9vvGprq7u8Q2TyL5yyy238Oqrr/Lee+9RUlJibi8sLIS4bz1j4u/PwsJC/H4/DQ0Nfe4j8nktX76c6upqpk+fjt1ux263M3/+fH7/+99jt9vNe0z3qAyWoqIiDj/88IRthx12mNlMVv+OymD7wQ9+wJ133snXvvY1Jk2axNVXX81tt93G7NmzQfeoJJmBuh8LCwupqqrqcfyampqku2cV2g8ATqeT6dOnM2/evITt8+bN44QTThi085JDg2EY3Hzzzbz44ou8++67jBw5MuH1kSNHUlhYmHB/+v1+5s+fb96f06dPx+FwJOxTUVHB6tWrdQ/LXjvjjDNYtWoVK1euNH+OOuoorrzySlauXMmoUaN0j8qgOvHEE3sslblx40aGDx8O+ndUkkB7eztWa2IssNls5pJvukclmQzU/Xj88cfT1NTE0qVLzX2WLFlCU1NT8t2zg90JT3bPc889ZzgcDuMvf/mLsXbtWmPmzJlGamqqsW3btsE+NTnIfec73zG8Xq/x/vvvGxUVFeZPe3u7uc+vfvUrw+v1Gi+++KKxatUq4/LLLzeKioqM5uZmc58bbrjBKCkpMd5++23j448/Nr7whS8YkydPNoLB4CBdmRzM4rvHG7pHZZAtXbrUsNvtxi9/+Uvjs88+M5555hkjJSXFePrpp819dI/KYLr22muNIUOGGP/5z3+MrVu3Gi+++KKRm5tr3HHHHeY+ukdlf2ppaTFWrFhhrFixwgCMOXPmGCtWrDC2b99uGAN4P5599tnGkUceaXz44YfGhx9+aEyaNMk4//zzB+Wa+6PQfgD5wx/+YAwfPtxwOp3GtGnTzCW3RPYloNefJ554wtwnHA4bP/vZz4zCwkLD5XIZp5xyirFq1aqE43R0dBg333yzkZ2dbXg8HuP88883duzYMQhXJIeC7qFd96gMtn//+9/GxIkTDZfLZUyYMMF47LHHEl7XPSqDqbm52bj11luNYcOGGW632xg1apRx9913Gz6fz9xH96jsT++9916v//157bXXGsYA3o91dXXGlVdeaaSnpxvp6enGlVdeaTQ0NOzXa90dFiPyH+UiIiIiIiIikmQ0p11EREREREQkSSm0i4iIiIiIiCQphXYRERERERGRJKXQLiIiIiIiIpKkFNpFREREREREkpRCu4iIiIiIiEiSUmgXERERERERSVIK7SIiIiIiIiJJSqFdRERE+jVr1iymTJky2KchIiJySLIYhmEM9kmIiIjI4LBYLP2+fu211zJ37lx8Ph85OTn77bxEREQkQqFdRETkEFZZWWk+fv755/npT3/Khg0bzG0ejwev1ztIZyciIiIaHi8iInIIKywsNH+8Xi8Wi6XHtu7D47/+9a9z8cUXc++991JQUEBmZiY///nPCQaD/OAHPyA7O5uSkhIef/zxhM8qLy/nq1/9KllZWeTk5HDRRRexbdu2QbhqERGRA4dCu4iIiOyxd999l507d7JgwQLmzJnDrFmzOP/888nKymLJkiXccMMN3HDDDZSWlgLQ3t7O6aefTlpaGgsWLGDhwoWkpaVx9tln4/f7B/tyREREkpZCu4iIiOyx7Oxsfv/73zN+/Hiuu+46xo8fT3t7Oz/60Y8YO3Ysd911F06nk//9738APPfcc1itVv785z8zadIkDjvsMJ544gl27NjB+++/P9iXIyIikrTsg30CIiIicuA54ogjsFq7vvsvKChg4sSJ5nObzUZOTg7V1dUALF++nE2bNpGenp5wnM7OTjZv3rwfz1xEROTAotAuIiIie8zhcCQ8t1gsvW4Lh8MAhMNhpk+fzjPPPNPjWHl5efv4bEVERA5cCu0iIiKyz02bNo3nn3+e/Px8MjIyBvt0REREDhia0y4iIiL73JVXXklubi4XXXQRH3zwAVu3bmX+/PnceuutlJWVDfbpiYiIJC2FdhEREdnnUlJSWLBgAcOGDeOSSy7hsMMO47rrrqOjo0OVdxERkX5YDMMwBvskRERERERERKQnVdpFREREREREkpRCu4iIiIiIiEiSUmgXERERERERSVIK7SIiIiIiIiJJSqFdREREREREJEkptIuIiIiIiIgkKYV2ERERERERkSSl0C4iIiIiIiKSpBTaRURERERERJKUQruIiIiIiIhIklJoFxEREREREUlS/x+K4FDKGTqp+gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,4.5))\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Values')\n",
    "plt.plot(times, values, label='Noisy data')\n",
    "plt.plot(times, org_values, lw=2, label='Noise-free data')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have enough data (a model, a list of times, and a list of data) to formulate a problem:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "problem = pints.SingleOutputProblem(model, times, values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now have some toy data, and a model that can be used for forward simulations. To make it into a probabilistic problem, we need to add a _noise model_. One way to do this is using the `GaussianLogLikelihood` function, which assumes independently distributed Gaussian noise over the data, and can calculate log-likelihoods:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_likelihood = pints.GaussianLogLikelihood(problem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This noise has mean zero, and an unknown standard deviation. How can we find out the standard deviation? By inferring it along with the other parameters. This means we have added one parameter to our problem!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original problem dimension: 2\n"
     ]
    }
   ],
   "source": [
    "print('Original problem dimension: ' + str(problem.n_parameters()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New dimension: 3\n"
     ]
    }
   ],
   "source": [
    "print('New dimension: ' + str(log_likelihood.n_parameters()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(This means we also have to update our vector of true parameters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.015, 500, 25]\n"
     ]
    }
   ],
   "source": [
    "true_parameters += [noise]\n",
    "print(true_parameters)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This `log_likelihood` represents the _conditional probability_ $p(y|\\theta)$, given a set of parameters $\\theta$ and a series of $y=$ `values`, it can calculate the probability of finding those values if the real parameters are $\\theta$.\n",
    "\n",
    "We can use this in a Bayesian inference scheme to find the quantity we're interested in:\n",
    "\n",
    "$p(\\theta|y) = \\frac{p(\\theta)p(y|\\theta)}{p(y)} \\propto p(\\theta)p(y|\\theta)$\n",
    "\n",
    "To solve this, we now define a _prior_, indicating our initial ideas about what the parameters should be. \n",
    "Just as we're using a _log-likelihood_ (the natural logarithm of a likelihood), we'll define this using a _log-prior_. This simplifies the above equation to:\n",
    "\n",
    "$\\log p(\\theta|y) \\propto \\log p(\\theta) + \\log p(y|\\theta)$\n",
    "\n",
    "In this example we'll assume we don't know too much about the prior except lower and upper bounds for each variable: We assume the first model parameter is somewhere on the interval $[0.01, 0.02]$, the second model parameter on $[400, 600]$, and the standard deviation of the noise is somewhere on $[1, 100]$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_prior = pints.UniformLogPrior(\n",
    "    [0.01, 400, 1],\n",
    "    [0.02, 600, 100]\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this prior, we can now define the numerator of Bayes' rule -- the unnormalised log posterior, $\\log \\left[ p(y|\\theta) p(\\theta) \\right]$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a posterior log-likelihood (log(likelihood * prior))\n",
    "log_posterior = pints.LogPosterior(log_likelihood, log_prior)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we create a list of guesses to use as initial positions. We'll run three MCMC chains so we create three initial positions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = [\n",
    "    np.array(true_parameters) * 0.9,\n",
    "    np.array(true_parameters) * 1.05,\n",
    "    np.array(true_parameters) * 1.15,\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And this gives us everything we need to run an MCMC routine:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using Haario-Bardenet adaptive covariance MCMC\n",
      "Generating 3 chains.\n",
      "Running in sequential mode.\n",
      "Iter. Eval. Accept.   Accept.   Accept.   Time    \n",
      "0     3      0         0         0          0:00.0\n",
      "1     6      0         0         0          0:00.0\n",
      "2     9      0         0         0.333      0:00.0\n",
      "3     12     0         0         0.25       0:00.0\n",
      "20    63     0.0476    0.0476    0.0476     0:00.0\n",
      "40    123    0.0244    0.0244    0.0488     0:00.0\n",
      "60    183    0.0328    0.0328    0.0328     0:00.0\n",
      "80    243    0.0247    0.0247    0.037      0:00.0\n",
      "100   303    0.0198    0.0198    0.0297     0:00.0\n",
      "120   363    0.0165    0.0165    0.0248     0:00.1\n",
      "140   423    0.0142    0.0213    0.0284     0:00.1\n",
      "160   483    0.0124    0.0186    0.0373     0:00.1\n",
      "180   543    0.011     0.0166    0.0387     0:00.1\n",
      "Initial phase completed.\n",
      "200   603    0.0149    0.0149    0.0348     0:00.1\n",
      "220   663    0.0317    0.0271    0.0452     0:00.1\n",
      "240   723    0.0622    0.0581    0.083      0:00.1\n",
      "260   783    0.107     0.0958    0.0996     0:00.1\n",
      "280   843    0.117     0.128     0.128      0:00.1\n",
      "300   903    0.13      0.156     0.14       0:00.1\n",
      "320   963    0.128     0.174     0.14       0:00.2\n",
      "340   1023   0.126     0.176     0.138      0:00.2\n",
      "360   1083   0.13      0.183     0.139      0:00.2\n",
      "380   1143   0.136     0.178     0.15       0:00.2\n",
      "400   1203   0.152     0.185     0.162      0:00.2\n",
      "420   1263   0.159     0.192399  0.175772   0:00.2\n",
      "440   1323   0.181     0.193     0.193      0:00.2\n",
      "460   1383   0.186551  0.204     0.204      0:00.2\n",
      "480   1443   0.193     0.2       0.214      0:00.2\n",
      "500   1503   0.208     0.196     0.222      0:00.2\n",
      "520   1563   0.211     0.192     0.225      0:00.3\n",
      "540   1623   0.214     0.187     0.229      0:00.3\n",
      "560   1683   0.216     0.191     0.234      0:00.3\n",
      "580   1743   0.224     0.186     0.234      0:00.3\n",
      "600   1803   0.234609  0.185     0.234609   0:00.3\n",
      "620   1863   0.233     0.18      0.232      0:00.3\n",
      "640   1923   0.232     0.181     0.229      0:00.3\n",
      "660   1983   0.234     0.179     0.225416   0:00.3\n",
      "680   2043   0.229     0.184     0.22       0:00.3\n",
      "700   2103   0.223     0.189729  0.215      0:00.4\n",
      "720   2163   0.216     0.191     0.214      0:00.4\n",
      "740   2223   0.217274  0.194332  0.212      0:00.4\n",
      "760   2283   0.216     0.192     0.208      0:00.4\n",
      "780   2343   0.212548  0.196     0.204      0:00.4\n",
      "800   2403   0.211     0.2       0.2        0:00.4\n",
      "820   2463   0.208     0.201     0.196      0:00.4\n",
      "840   2523   0.206     0.205     0.193      0:00.4\n",
      "860   2583   0.208     0.203252  0.193      0:00.4\n",
      "880   2643   0.209     0.204     0.193      0:00.5\n",
      "900   2703   0.21      0.204     0.193      0:00.5\n",
      "920   2763   0.208     0.203     0.192      0:00.5\n",
      "940   2823   0.208     0.206     0.196      0:00.5\n",
      "960   2883   0.21      0.206     0.198      0:00.5\n",
      "980   2943   0.212     0.206     0.202      0:00.5\n",
      "1000  3003   0.214     0.207     0.204      0:00.5\n",
      "1020  3063   0.217     0.21      0.208      0:00.5\n",
      "1040  3123   0.219     0.212     0.209414   0:00.5\n",
      "1060  3183   0.221     0.213     0.212      0:00.6\n",
      "1080  3243   0.218     0.212     0.215      0:00.6\n",
      "1100  3303   0.22      0.213     0.218      0:00.6\n",
      "1120  3363   0.219     0.214     0.223      0:00.6\n",
      "1140  3423   0.22      0.216     0.226      0:00.6\n",
      "1160  3483   0.221     0.217     0.225      0:00.6\n",
      "1180  3543   0.224     0.216     0.224      0:00.6\n",
      "1200  3603   0.221     0.218     0.22398    0:00.6\n",
      "1220  3663   0.221     0.219     0.227      0:00.6\n",
      "1240  3723   0.222     0.22      0.23       0:00.6\n",
      "1260  3783   0.221253  0.22046   0.232      0:00.7\n",
      "1280  3843   0.225605  0.221     0.231      0:00.7\n",
      "1300  3903   0.224     0.22      0.232      0:00.7\n",
      "1320  3963   0.222     0.218     0.232      0:00.7\n",
      "1340  4023   0.221     0.218     0.234      0:00.7\n",
      "1360  4083   0.221     0.218     0.234      0:00.7\n",
      "1380  4143   0.222     0.217958  0.235      0:00.7\n",
      "1400  4203   0.223     0.218     0.235      0:00.7\n",
      "1420  4263   0.224     0.22      0.233      0:00.7\n",
      "1440  4323   0.223     0.217     0.233      0:00.7\n",
      "1460  4383   0.224     0.220397  0.234      0:00.7\n",
      "1480  4443   0.224     0.222     0.236      0:00.8\n",
      "1500  4503   0.226     0.221     0.237      0:00.8\n",
      "1520  4563   0.227     0.221     0.237      0:00.8\n",
      "1540  4623   0.225     0.219987  0.238157   0:00.8\n",
      "1560  4683   0.222934  0.219     0.238      0:00.8\n",
      "1580  4743   0.225     0.219     0.237      0:00.8\n",
      "1600  4803   0.225     0.221     0.239      0:00.8\n",
      "1620  4863   0.224     0.221     0.24       0:00.8\n",
      "1640  4923   0.226691  0.221816  0.24       0:00.8\n",
      "1660  4983   0.228     0.222     0.241      0:00.8\n",
      "1680  5043   0.227     0.221     0.24       0:00.8\n",
      "1700  5103   0.226     0.222     0.24       0:00.9\n",
      "1720  5163   0.23      0.223     0.243      0:00.9\n",
      "1740  5223   0.229     0.225158  0.243      0:00.9\n",
      "1760  5283   0.229     0.226008  0.244      0:00.9\n",
      "1780  5343   0.23      0.225     0.244      0:00.9\n",
      "1800  5403   0.23      0.225     0.244864   0:00.9\n",
      "1820  5463   0.229     0.224     0.245      0:00.9\n",
      "1840  5523   0.229     0.222     0.244      0:00.9\n",
      "1860  5583   0.228     0.221     0.245      0:00.9\n",
      "1880  5643   0.231     0.221159  0.245      0:00.9\n",
      "1900  5703   0.232     0.219     0.24303    0:00.9\n",
      "1920  5763   0.232     0.22      0.243      0:01.0\n",
      "1940  5823   0.23      0.219     0.243      0:01.0\n",
      "1960  5883   0.23      0.22      0.242      0:01.0\n",
      "1980  5943   0.229     0.22      0.241      0:01.0\n",
      "2000  6003   0.229     0.219     0.24       0:01.0\n",
      "2020  6063   0.229     0.218     0.240475   0:01.0\n",
      "2040  6123   0.229     0.218     0.242      0:01.0\n",
      "2060  6183   0.228     0.219     0.244      0:01.0\n",
      "2080  6243   0.229     0.218     0.243      0:01.0\n",
      "2100  6303   0.228     0.218     0.243      0:01.0\n",
      "2120  6363   0.229     0.219     0.243      0:01.1\n",
      "2140  6423   0.228     0.218     0.243      0:01.1\n",
      "2160  6483   0.228     0.218     0.242      0:01.1\n",
      "2180  6543   0.227     0.21779   0.243      0:01.1\n",
      "2200  6603   0.227     0.218     0.241254   0:01.1\n",
      "2220  6663   0.228     0.218     0.239      0:01.1\n",
      "2240  6723   0.229     0.22      0.237      0:01.1\n",
      "2260  6783   0.229     0.22      0.236621   0:01.1\n",
      "2280  6843   0.228     0.22      0.238      0:01.1\n",
      "2300  6903   0.229     0.222     0.236      0:01.1\n",
      "2320  6963   0.227     0.221     0.236      0:01.1\n",
      "2340  7023   0.226     0.222     0.235      0:01.2\n",
      "2360  7083   0.225     0.221     0.235      0:01.2\n",
      "2380  7143   0.225     0.221     0.235      0:01.2\n",
      "2400  7203   0.225     0.221     0.234      0:01.2\n",
      "2420  7263   0.223     0.22057   0.235853   0:01.2\n",
      "2440  7323   0.225     0.22      0.236      0:01.2\n",
      "2460  7383   0.225     0.220642  0.235      0:01.2\n",
      "2480  7443   0.224     0.222     0.235      0:01.2\n",
      "2500  7503   0.225     0.222     0.235      0:01.2\n",
      "2520  7563   0.225     0.221     0.234      0:01.2\n",
      "2540  7623   0.225     0.221     0.234      0:01.3\n",
      "2560  7683   0.224     0.219836  0.233893   0:01.3\n",
      "2580  7743   0.224     0.22      0.234      0:01.3\n",
      "2600  7803   0.224529  0.22      0.233      0:01.3\n",
      "2620  7863   0.227     0.219     0.232      0:01.3\n",
      "2640  7923   0.226     0.219     0.232      0:01.3\n",
      "2660  7983   0.227     0.220218  0.232      0:01.3\n",
      "2680  8043   0.227154  0.221     0.23163    0:01.3\n",
      "2700  8103   0.226     0.222     0.233      0:01.4\n",
      "2720  8163   0.226     0.223     0.234      0:01.4\n",
      "2740  8223   0.227     0.223     0.235      0:01.4\n",
      "2760  8283   0.227816  0.225     0.233      0:01.4\n",
      "2780  8343   0.227616  0.224     0.231931   0:01.4\n",
      "2800  8403   0.226     0.226     0.231      0:01.4\n",
      "2820  8463   0.226     0.224743  0.23       0:01.4\n",
      "2840  8523   0.226     0.224     0.231      0:01.4\n",
      "2860  8583   0.226     0.224     0.231      0:01.4\n",
      "2880  8643   0.225     0.226     0.23       0:01.4\n",
      "2900  8703   0.224     0.225     0.232      0:01.5\n",
      "2920  8763   0.225     0.22595   0.23       0:01.5\n",
      "2940  8823   0.225     0.227     0.23       0:01.5\n",
      "2960  8883   0.224924  0.226     0.23       0:01.5\n",
      "2980  8943   0.224     0.226     0.23       0:01.5\n",
      "3000  9003   0.225     0.225     0.23       0:01.5\n",
      "3020  9063   0.226     0.225422  0.229      0:01.5\n",
      "3040  9123   0.227     0.226     0.229      0:01.5\n",
      "3060  9183   0.227     0.225     0.23       0:01.5\n",
      "3080  9243   0.227     0.224927  0.23       0:01.6\n",
      "3100  9303   0.227346  0.224     0.229      0:01.6\n",
      "3120  9363   0.228132  0.224     0.229      0:01.6\n",
      "3140  9423   0.229     0.224     0.229      0:01.6\n",
      "3160  9483   0.229     0.225     0.23       0:01.6\n",
      "3180  9543   0.229     0.226     0.23       0:01.6\n",
      "3200  9603   0.229     0.226     0.230553   0:01.6\n",
      "3220  9663   0.229     0.227     0.231      0:01.6\n",
      "3240  9723   0.228     0.227     0.231      0:01.6\n",
      "3260  9783   0.229     0.227     0.231      0:01.6\n",
      "3280  9843   0.228     0.227     0.232      0:01.7\n",
      "3300  9903   0.228     0.226     0.233      0:01.7\n",
      "3320  9963   0.227     0.225     0.233      0:01.7\n",
      "3340  10023  0.225     0.226     0.234      0:01.7\n",
      "3360  10083  0.226     0.226     0.234      0:01.7\n",
      "3380  10143  0.226     0.226     0.234546   0:01.7\n",
      "3400  10203  0.226     0.226     0.234      0:01.7\n",
      "3420  10263  0.225     0.225     0.234      0:01.7\n",
      "3440  10323  0.224     0.226     0.236      0:01.7\n",
      "3460  10383  0.224     0.227     0.237      0:01.7\n",
      "3480  10443  0.223     0.226     0.237      0:01.8\n",
      "3500  10503  0.223     0.226     0.236      0:01.8\n",
      "3520  10563  0.222948  0.226     0.236      0:01.8\n",
      "3540  10623  0.224     0.225     0.236      0:01.8\n",
      "3560  10683  0.224     0.224656  0.236      0:01.8\n",
      "3580  10743  0.225     0.224239  0.237      0:01.8\n",
      "3600  10803  0.224     0.224     0.237      0:01.8\n",
      "3620  10863  0.224     0.224     0.238      0:01.8\n",
      "3640  10923  0.225     0.225     0.237      0:01.8\n",
      "3660  10983  0.225     0.226     0.237      0:01.8\n",
      "3680  11043  0.225     0.225     0.237      0:01.9\n",
      "3700  11103  0.225     0.225     0.238314   0:01.9\n",
      "3720  11163  0.225     0.225477  0.238108   0:01.9\n",
      "3740  11223  0.225     0.225     0.238      0:01.9\n",
      "3760  11283  0.224     0.224     0.239      0:01.9\n",
      "3780  11343  0.224     0.225     0.239      0:01.9\n",
      "3800  11403  0.223     0.224     0.239      0:01.9\n",
      "3820  11463  0.222     0.224     0.24       0:01.9\n",
      "3840  11523  0.223     0.225     0.24       0:01.9\n",
      "3860  11583  0.222     0.226     0.239      0:01.9\n",
      "3880  11643  0.224     0.226488  0.238083   0:01.9\n",
      "3900  11703  0.223     0.226     0.238      0:02.0\n",
      "3920  11763  0.224     0.226     0.238      0:02.0\n",
      "3940  11823  0.224     0.226846  0.238      0:02.0\n",
      "3960  11883  0.224     0.226458  0.238      0:02.0\n",
      "3980  11943  0.224     0.226325  0.238      0:02.0\n",
      "4000  12003  0.225     0.226     0.238      0:02.0\n",
      "4020  12063  0.224571  0.226     0.238      0:02.0\n",
      "4040  12123  0.225     0.226     0.238      0:02.0\n",
      "4060  12183  0.225314  0.225314  0.238      0:02.0\n",
      "4080  12243  0.225     0.225     0.238      0:02.0\n",
      "4100  12303  0.225     0.225     0.239      0:02.1\n",
      "4120  12363  0.225916  0.225     0.238049   0:02.1\n",
      "4140  12423  0.227     0.225     0.238      0:02.1\n",
      "4160  12483  0.228     0.224     0.238      0:02.1\n",
      "4180  12543  0.228     0.225     0.237503   0:02.1\n",
      "4200  12603  0.228     0.225     0.237      0:02.1\n",
      "4220  12663  0.228     0.225     0.237      0:02.1\n",
      "4240  12723  0.228     0.225     0.237      0:02.1\n",
      "4260  12783  0.228     0.224     0.237      0:02.1\n",
      "4280  12843  0.228     0.224     0.236627   0:02.1\n",
      "4300  12903  0.228     0.224     0.236      0:02.2\n",
      "4320  12963  0.228     0.224     0.237      0:02.2\n",
      "4340  13023  0.228     0.223     0.236      0:02.2\n",
      "4360  13083  0.229     0.223114  0.236      0:02.2\n",
      "4380  13143  0.229     0.224     0.236      0:02.2\n",
      "4400  13203  0.229     0.223     0.236      0:02.2\n",
      "4420  13263  0.228     0.224     0.237      0:02.2\n",
      "4440  13323  0.228     0.225     0.236      0:02.2\n",
      "4460  13383  0.228     0.225     0.235      0:02.2\n",
      "4480  13443  0.229     0.225     0.235      0:02.2\n",
      "4500  13503  0.228     0.224     0.235      0:02.2\n",
      "4520  13563  0.229     0.224     0.235      0:02.3\n",
      "4540  13623  0.228584  0.223519  0.235      0:02.3\n",
      "4560  13683  0.229     0.223     0.235      0:02.3\n",
      "4580  13743  0.228     0.223     0.235      0:02.3\n",
      "4600  13803  0.229298  0.224     0.236      0:02.3\n",
      "4620  13863  0.229     0.224     0.236      0:02.3\n",
      "4640  13923  0.23      0.224     0.236      0:02.3\n",
      "4660  13983  0.229779  0.223     0.235      0:02.3\n",
      "4680  14043  0.23      0.223     0.235      0:02.3\n",
      "4700  14103  0.230802  0.224     0.234      0:02.3\n",
      "4720  14163  0.231     0.225     0.233      0:02.4\n",
      "4740  14223  0.23      0.224     0.232      0:02.4\n",
      "4760  14283  0.231     0.224     0.232      0:02.4\n",
      "4780  14343  0.230914  0.224     0.232      0:02.4\n",
      "4800  14403  0.231     0.225     0.232      0:02.4\n",
      "4820  14463  0.231     0.225     0.232      0:02.4\n",
      "4840  14523  0.232     0.225     0.232      0:02.4\n",
      "4860  14583  0.232     0.225     0.232      0:02.4\n",
      "4880  14643  0.232     0.224     0.232      0:02.4\n",
      "4900  14703  0.231     0.224     0.232      0:02.4\n",
      "4920  14763  0.230441  0.224     0.232      0:02.5\n",
      "4940  14823  0.23      0.224     0.232      0:02.5\n",
      "4960  14883  0.23      0.225     0.232      0:02.5\n",
      "4980  14943  0.23      0.225     0.232      0:02.5\n",
      "5000  15003  0.229754  0.226     0.232      0:02.5\n",
      "5020  15063  0.230233  0.225     0.232      0:02.5\n",
      "5040  15123  0.231     0.225     0.232      0:02.5\n",
      "5060  15183  0.230982  0.224264  0.232      0:02.5\n",
      "5080  15243  0.23      0.225     0.232      0:02.5\n",
      "5100  15303  0.23      0.224     0.232      0:02.5\n",
      "5120  15363  0.23      0.225     0.232      0:02.6\n",
      "5140  15423  0.229     0.224     0.232      0:02.6\n",
      "5160  15483  0.23      0.224     0.232      0:02.6\n",
      "5180  15543  0.229     0.224281  0.232      0:02.6\n",
      "5200  15603  0.229379  0.225     0.232      0:02.6\n",
      "5220  15663  0.229     0.224     0.232      0:02.6\n",
      "5240  15723  0.23      0.224     0.231      0:02.6\n",
      "5260  15783  0.23      0.224     0.232      0:02.6\n",
      "5280  15843  0.23      0.224     0.232      0:02.6\n",
      "5300  15903  0.229202  0.22392   0.231      0:02.6\n",
      "5320  15963  0.229     0.224     0.232      0:02.7\n",
      "5340  16023  0.23      0.225     0.231      0:02.7\n",
      "5360  16083  0.229     0.225     0.231      0:02.7\n",
      "5380  16143  0.229     0.226     0.231      0:02.7\n",
      "5400  16203  0.228     0.226     0.231      0:02.7\n",
      "5420  16263  0.228     0.225     0.232      0:02.7\n",
      "5440  16323  0.229     0.225     0.232494   0:02.7\n",
      "5460  16383  0.229     0.225     0.233      0:02.7\n",
      "5480  16443  0.229     0.225     0.232      0:02.7\n",
      "5500  16503  0.229     0.225     0.232      0:02.7\n",
      "5520  16563  0.229     0.224     0.233      0:02.7\n",
      "5540  16623  0.228     0.224     0.233      0:02.8\n",
      "5560  16683  0.228     0.224     0.232692   0:02.8\n",
      "5580  16743  0.227737  0.223795  0.233      0:02.8\n",
      "5600  16803  0.228     0.224     0.233      0:02.8\n",
      "5620  16863  0.227     0.224     0.233      0:02.8\n",
      "5640  16923  0.227     0.224     0.234      0:02.8\n",
      "5660  16983  0.227345  0.224     0.234      0:02.8\n",
      "5680  17043  0.227     0.224     0.234      0:02.8\n",
      "5700  17103  0.227     0.223     0.234      0:02.8\n",
      "5720  17163  0.228     0.223     0.234      0:02.8\n",
      "5740  17223  0.228     0.224     0.234      0:02.9\n",
      "5760  17283  0.228     0.225     0.235      0:02.9\n",
      "5780  17343  0.228     0.225     0.235      0:02.9\n",
      "5800  17403  0.228     0.225     0.234      0:02.9\n",
      "5820  17463  0.228     0.225     0.235      0:02.9\n",
      "5840  17523  0.228     0.224     0.235      0:02.9\n",
      "5860  17583  0.228     0.225     0.236      0:02.9\n",
      "5880  17643  0.229     0.225     0.235      0:02.9\n",
      "5900  17703  0.229     0.225     0.235      0:02.9\n",
      "5920  17763  0.229     0.226     0.235      0:02.9\n",
      "5940  17823  0.23      0.225     0.234      0:03.0\n",
      "5960  17883  0.229     0.226     0.235      0:03.0\n",
      "5980  17943  0.23      0.225882  0.234      0:03.0\n",
      "6000  18003  0.229     0.226     0.234      0:03.0\n",
      "6020  18063  0.229     0.226     0.234      0:03.0\n",
      "6040  18123  0.23      0.225956  0.234      0:03.0\n",
      "6060  18183  0.23016   0.226     0.234      0:03.0\n",
      "6080  18243  0.231     0.226     0.234      0:03.0\n",
      "6100  18303  0.231     0.226     0.234      0:03.0\n",
      "6120  18363  0.231008  0.226     0.234      0:03.0\n",
      "6140  18423  0.231     0.226     0.235      0:03.0\n",
      "6160  18483  0.231     0.227     0.235      0:03.1\n",
      "6180  18543  0.232     0.227     0.234      0:03.1\n",
      "6200  18603  0.231     0.227     0.235      0:03.1\n",
      "6220  18663  0.231     0.228     0.235      0:03.1\n",
      "6240  18723  0.23      0.228489  0.235      0:03.1\n",
      "6260  18783  0.23      0.229     0.235      0:03.1\n",
      "6280  18843  0.23      0.229     0.235      0:03.1\n",
      "6300  18903  0.23      0.229     0.235      0:03.1\n",
      "6320  18963  0.23      0.23      0.234773   0:03.1\n",
      "6340  19023  0.231     0.229     0.235      0:03.1\n",
      "6360  19083  0.231     0.229     0.234      0:03.2\n",
      "6380  19143  0.231     0.229     0.234      0:03.2\n",
      "6400  19203  0.23      0.229     0.234      0:03.2\n",
      "6420  19263  0.230338  0.23      0.23392    0:03.2\n",
      "6440  19323  0.23      0.229     0.234      0:03.2\n",
      "6460  19383  0.23      0.229     0.235      0:03.2\n",
      "6480  19443  0.231     0.228977  0.234686   0:03.2\n",
      "6500  19503  0.231     0.229     0.234      0:03.2\n",
      "6520  19563  0.231     0.23      0.234      0:03.2\n",
      "6540  19623  0.231     0.23      0.235      0:03.2\n",
      "6560  19683  0.23      0.23      0.235      0:03.3\n",
      "6580  19743  0.231     0.23      0.235      0:03.3\n",
      "6600  19803  0.23      0.231     0.235      0:03.3\n",
      "6620  19863  0.23      0.231     0.235      0:03.3\n",
      "6640  19923  0.23      0.231     0.235      0:03.3\n",
      "6660  19983  0.23      0.231     0.235      0:03.3\n",
      "6680  20043  0.23      0.231     0.234      0:03.3\n",
      "6700  20103  0.23      0.231     0.234      0:03.3\n",
      "6720  20163  0.23      0.230918  0.235      0:03.3\n",
      "6740  20223  0.23      0.231     0.23498    0:03.3\n",
      "6760  20283  0.23      0.23      0.235      0:03.4\n",
      "6780  20343  0.23      0.230497  0.236      0:03.4\n",
      "6800  20403  0.23      0.23      0.236      0:03.4\n",
      "6820  20463  0.23      0.231     0.235      0:03.4\n",
      "6840  20523  0.23      0.231     0.235      0:03.4\n",
      "6860  20583  0.23      0.231     0.235      0:03.4\n",
      "6880  20643  0.23      0.23      0.236      0:03.4\n",
      "6900  20703  0.23      0.229532  0.235      0:03.4\n",
      "6920  20763  0.231     0.229     0.236      0:03.4\n",
      "6940  20823  0.231     0.229     0.235      0:03.5\n",
      "6960  20883  0.230714  0.229     0.235      0:03.5\n",
      "6980  20943  0.231     0.228907  0.235      0:03.5\n",
      "7000  21003  0.232     0.229     0.235      0:03.5\n",
      "7020  21063  0.232     0.229     0.235      0:03.5\n",
      "7040  21123  0.232     0.229     0.235      0:03.5\n",
      "7060  21183  0.231412  0.229     0.235      0:03.5\n",
      "7080  21243  0.231     0.229     0.235      0:03.5\n",
      "7100  21303  0.231235  0.229     0.236      0:03.5\n",
      "7120  21363  0.231     0.229     0.236      0:03.6\n",
      "7140  21423  0.231     0.229     0.236      0:03.6\n",
      "7160  21483  0.231     0.228     0.236      0:03.6\n",
      "7180  21543  0.231     0.228     0.236      0:03.6\n",
      "7200  21603  0.231     0.228     0.236      0:03.6\n",
      "7220  21663  0.231     0.228     0.236      0:03.6\n",
      "7240  21723  0.231     0.228     0.235      0:03.6\n",
      "7260  21783  0.231     0.228     0.236      0:03.6\n",
      "7280  21843  0.231     0.229     0.236      0:03.6\n",
      "7300  21903  0.232     0.229     0.236      0:03.7\n",
      "7320  21963  0.232     0.22975   0.235487   0:03.7\n",
      "7340  22023  0.232     0.229669  0.236      0:03.7\n",
      "7360  22083  0.232     0.23      0.23543    0:03.7\n",
      "7380  22143  0.232     0.229     0.235      0:03.7\n",
      "7400  22203  0.232     0.229     0.236      0:03.7\n",
      "7420  22263  0.232     0.229     0.235      0:03.7\n",
      "7440  22323  0.231     0.229     0.235      0:03.7\n",
      "7460  22383  0.232     0.228     0.236      0:03.7\n",
      "7480  22443  0.232     0.228     0.236      0:03.8\n",
      "7500  22503  0.232     0.228     0.235302   0:03.8\n",
      "7520  22563  0.232     0.229     0.235607   0:03.8\n",
      "7540  22623  0.232     0.229     0.236      0:03.8\n",
      "7560  22683  0.232     0.228938  0.236      0:03.8\n",
      "7580  22743  0.232     0.229     0.235589   0:03.8\n",
      "7600  22803  0.232     0.229     0.235      0:03.8\n",
      "7620  22863  0.232     0.229235  0.235271   0:03.8\n",
      "7640  22923  0.233     0.229     0.235      0:03.8\n",
      "7660  22983  0.232     0.229     0.235      0:03.8\n",
      "7680  23043  0.232     0.229     0.235      0:03.9\n",
      "7700  23103  0.233     0.229     0.235      0:03.9\n",
      "7720  23163  0.232     0.229     0.235      0:03.9\n",
      "7740  23223  0.232     0.229     0.235      0:03.9\n",
      "7760  23283  0.232     0.229     0.235      0:03.9\n",
      "7780  23343  0.232     0.229     0.235      0:03.9\n",
      "7800  23403  0.232     0.229     0.234      0:03.9\n",
      "7820  23463  0.232579  0.229     0.234369   0:03.9\n",
      "7840  23523  0.233     0.23      0.234      0:03.9\n",
      "7860  23583  0.233     0.23      0.234      0:03.9\n",
      "7880  23643  0.233     0.229     0.234      0:03.9\n",
      "7900  23703  0.234     0.23      0.234021   0:04.0\n",
      "7920  23763  0.234     0.23      0.234      0:04.0\n",
      "7940  23823  0.233     0.229     0.234      0:04.0\n",
      "7960  23883  0.233     0.229     0.233      0:04.0\n",
      "7980  23943  0.233     0.229044  0.233      0:04.0\n",
      "8000  24003  0.233     0.229     0.233      0:04.0\n",
      "8020  24063  0.233     0.23      0.233      0:04.0\n",
      "8040  24123  0.233     0.23      0.233      0:04.0\n",
      "8060  24183  0.233     0.23      0.233      0:04.0\n",
      "8080  24243  0.232892  0.23      0.232892   0:04.1\n",
      "8100  24303  0.233     0.229     0.233      0:04.1\n",
      "8120  24363  0.233     0.229     0.232      0:04.1\n",
      "8140  24423  0.233     0.229     0.232      0:04.1\n",
      "8160  24483  0.233     0.229     0.232      0:04.1\n",
      "8180  24543  0.233     0.229     0.232      0:04.1\n",
      "8200  24603  0.233     0.229     0.232      0:04.1\n",
      "8220  24663  0.232     0.229     0.232      0:04.1\n",
      "8240  24723  0.232     0.229     0.232132   0:04.1\n",
      "8260  24783  0.23157   0.229028  0.232      0:04.1\n",
      "8280  24843  0.232     0.229     0.232      0:04.2\n",
      "8300  24903  0.232     0.229     0.233      0:04.2\n",
      "8320  24963  0.232     0.229     0.233      0:04.2\n",
      "8340  25023  0.232     0.228     0.233      0:04.2\n",
      "8360  25083  0.232     0.228     0.233      0:04.2\n",
      "8380  25143  0.232     0.228     0.232      0:04.2\n",
      "8400  25203  0.232     0.229     0.233      0:04.2\n",
      "8420  25263  0.232     0.229     0.232      0:04.2\n",
      "8440  25323  0.231     0.229     0.232      0:04.3\n",
      "8460  25383  0.231     0.229     0.232      0:04.3\n",
      "8480  25443  0.231     0.229     0.232      0:04.3\n",
      "8500  25503  0.231     0.229     0.232      0:04.3\n",
      "8520  25563  0.231     0.23      0.233      0:04.3\n",
      "8540  25623  0.231     0.229     0.233      0:04.3\n",
      "8560  25683  0.231     0.23      0.233      0:04.3\n",
      "8580  25743  0.231     0.229     0.232      0:04.3\n",
      "8600  25803  0.231     0.229     0.232      0:04.3\n",
      "8620  25863  0.232     0.23      0.232      0:04.4\n",
      "8640  25923  0.232     0.230066  0.232      0:04.4\n",
      "8660  25983  0.232     0.23      0.233      0:04.4\n",
      "8680  26043  0.232     0.23      0.232      0:04.4\n",
      "8700  26103  0.233     0.231     0.232502   0:04.4\n",
      "8720  26163  0.232     0.231     0.233      0:04.4\n",
      "8740  26223  0.233     0.231     0.233      0:04.4\n",
      "8760  26283  0.233     0.231     0.232736   0:04.4\n",
      "8780  26343  0.233     0.231181  0.233      0:04.5\n",
      "8800  26403  0.233     0.231     0.233      0:04.5\n",
      "8820  26463  0.233     0.231493  0.233      0:04.5\n",
      "8840  26523  0.233     0.231     0.232      0:04.5\n",
      "8860  26583  0.233     0.231     0.232      0:04.5\n",
      "8880  26643  0.233     0.231     0.232      0:04.5\n",
      "8900  26703  0.234     0.23121   0.232      0:04.5\n",
      "8920  26763  0.234     0.231     0.231      0:04.5\n",
      "8940  26823  0.234     0.231294  0.232      0:04.5\n",
      "8960  26883  0.234     0.231     0.232      0:04.5\n",
      "8980  26943  0.233827  0.231     0.232      0:04.6\n",
      "9000  27003  0.234     0.232     0.232      0:04.6\n",
      "9020  27063  0.234     0.231     0.232      0:04.6\n",
      "9040  27123  0.234     0.231     0.232      0:04.6\n",
      "9060  27183  0.233749  0.231     0.232      0:04.6\n",
      "9080  27243  0.234     0.231     0.232      0:04.6\n",
      "9100  27303  0.233     0.231     0.232      0:04.6\n",
      "9120  27363  0.233     0.231115  0.232      0:04.6\n",
      "9140  27423  0.232     0.231     0.231      0:04.6\n",
      "9160  27483  0.232     0.231     0.231      0:04.7\n",
      "9180  27543  0.232     0.231     0.231      0:04.7\n",
      "9200  27603  0.232     0.231     0.231      0:04.7\n",
      "9220  27663  0.232     0.231     0.231      0:04.7\n",
      "9240  27723  0.232     0.230711  0.231      0:04.7\n",
      "9260  27783  0.232     0.231     0.232      0:04.7\n",
      "9280  27843  0.232     0.23      0.232      0:04.7\n",
      "9300  27903  0.232     0.23      0.231      0:04.7\n",
      "9320  27963  0.232     0.231     0.232      0:04.7\n",
      "9340  28023  0.232     0.231     0.231      0:04.8\n",
      "9360  28083  0.232     0.231     0.231      0:04.8\n",
      "9380  28143  0.232     0.230679  0.231      0:04.8\n",
      "9400  28203  0.232     0.231     0.231      0:04.8\n",
      "9420  28263  0.232     0.231     0.231      0:04.8\n",
      "9440  28323  0.232     0.231     0.231      0:04.8\n",
      "9460  28383  0.232     0.231     0.231      0:04.8\n",
      "9480  28443  0.232     0.23      0.231      0:04.8\n",
      "9500  28503  0.232     0.231     0.231      0:04.9\n",
      "9520  28563  0.231     0.230438  0.231      0:04.9\n",
      "9540  28623  0.231     0.231     0.231      0:04.9\n",
      "9560  28683  0.231     0.231     0.231      0:04.9\n",
      "9580  28743  0.231     0.23      0.231      0:04.9\n",
      "9600  28803  0.231     0.23      0.231      0:04.9\n",
      "9620  28863  0.231     0.23      0.231      0:04.9\n",
      "9640  28923  0.231     0.23      0.231      0:04.9\n",
      "9660  28983  0.231     0.23      0.231      0:04.9\n",
      "9680  29043  0.231     0.229625  0.231      0:05.0\n",
      "9700  29103  0.231     0.229564  0.231      0:05.0\n",
      "9720  29163  0.231     0.23      0.231      0:05.0\n",
      "9740  29223  0.231     0.23      0.231      0:05.0\n",
      "9760  29283  0.231     0.229792  0.231      0:05.0\n",
      "9780  29343  0.231     0.23      0.230549   0:05.0\n",
      "9800  29403  0.231     0.23      0.231      0:05.0\n",
      "9820  29463  0.231     0.229     0.231      0:05.0\n",
      "9840  29523  0.232     0.23      0.231      0:05.1\n",
      "9860  29583  0.232     0.23      0.231      0:05.1\n",
      "9880  29643  0.232     0.23      0.231      0:05.1\n",
      "9900  29703  0.231     0.23      0.231      0:05.1\n",
      "9920  29763  0.231     0.23      0.231      0:05.1\n",
      "9940  29823  0.231     0.23      0.231      0:05.1\n",
      "9960  29883  0.231     0.23      0.231      0:05.1\n",
      "9980  29943  0.231     0.23      0.231      0:05.1\n",
      "10000 30000  0.2304    0.2301    0.2308     0:05.2\n",
      "Halting: Maximum number of iterations (10000) reached.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9680  29043  0.232     0.226     0.231      0:11.0\n",
      "9700  29103  0.232     0.226     0.231      0:11.1\n",
      "9720  29163  0.232     0.226     0.231      0:11.1\n",
      "9740  29223  0.232     0.226     0.231      0:11.1\n",
      "9760  29283  0.232     0.226     0.230919   0:11.1\n",
      "9780  29343  0.232     0.226     0.231      0:11.1\n",
      "9800  29403  0.231609  0.226     0.231      0:11.2\n",
      "9820  29463  0.232     0.226     0.231      0:11.2\n",
      "9840  29523  0.232     0.226603  0.231      0:11.2\n",
      "9860  29583  0.232     0.227     0.231      0:11.2\n",
      "9880  29643  0.232     0.227     0.231      0:11.2\n",
      "9900  29703  0.232     0.227     0.231      0:11.3\n",
      "9920  29763  0.232     0.227     0.231      0:11.3\n",
      "9940  29823  0.232     0.227     0.232      0:11.3\n",
      "9960  29883  0.232     0.227     0.231      0:11.3\n",
      "9980  29943  0.232     0.227     0.231      0:11.4\n",
      "10000 30000  0.2323    0.2272    0.2313     0:11.4\n",
      "Halting: Maximum number of iterations (10000) reached.\n"
     ]
    }
   ],
   "source": [
    "chains = pints.mcmc_sample(log_posterior, 3, xs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using Pints' diagnostic plots to inspect the results\n",
    "\n",
    "We can take a further look at the obtained results using Pints's [diagnostic plots](http://pints.readthedocs.io/en/latest/diagnostic_plots.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we use the [trace](http://pints.readthedocs.io/en/latest/diagnostic_plots.html#pints.plot.trace) method to see if the three chains converged to the same solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pints.plot.trace(chains)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on this plot, it looks like the three chains become very similar after about 1000 iterations.\n",
    "To be safe, we throw away the first 2000 samples and continue our analysis with the first chain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "chain = chains[0]\n",
    "chain = chain[2000:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also look for autocorrelation in the chains, using the [autocorrelation()](http://pints.readthedocs.io/en/latest/diagnostic_plots.html#pints.plot.autocorrelation) method. If everything went well, the samples in the chain should be relatively independent, so the autocorrelation should get quite low when the `lag` on the x-axis increases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pints.plot.autocorrelation(chain)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can inspect the inferred distribution by plotting histograms:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = pints.plot.histogram([chain], ref_parameters=true_parameters)\n",
    "\n",
    "# Show where the sample standard deviation of the generated noise is:\n",
    "noise_sample_std = np.std(values - org_values)\n",
    "axes[-1].axvline(noise_sample_std, color='orange', label='Sample standard deviation of noise')\n",
    "axes[-1].legend()\n",
    "\n",
    "fig.set_size_inches(14, 9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we've analysed each parameter in isolation, but we can also look at correlations between parameters we found using the [pairwise()](http://pints.readthedocs.io/en/latest/diagnostic_plots.html#pints.plot.pairwise) plot.\n",
    "\n",
    "To speed things up, we'll first apply some _thinning_ to the chain:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "chain = chain[::10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x900 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pints.plot.pairwise(chain, kde=True, ref_parameters=true_parameters)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As these plots show, we came pretty close to the original \"true\" values (represented by the blue line). \n",
    "But not exactly... Worse, the method seems to suggest a normal distribution but around the wrong point.\n",
    "To find out what's going on, we can plot the log-posterior function near the true parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x900 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot log-posterior function\n",
    "fig, axes = pints.plot.function(log_posterior, true_parameters)\n",
    "\n",
    "# Add a line showing the sample standard deviation of the generated noise\n",
    "axes[-1].axvline(noise_sample_std, color='orange', label='Sample standard deviation of noise')\n",
    "axes[-1].legend()\n",
    "\n",
    "# Customise the figure size\n",
    "fig.set_size_inches(14, 9)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As this plot (created entirely without MCMC!) shows, the MCMC method did well, but our estimate of the true parameters has become _biased_ by the stochastic noise! You can test this by increasing the number of sample points, which increases the size of the noise sample, and reduces the bias."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can look at the bit that really matters: The model predictions made from models with the parameters we found (a _posterior predictive check_). These can be plotted using the [series()](http://pints.readthedocs.io/en/latest/diagnostic_plots.html#pints.plot.series) method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = pints.plot.series(chain, problem)\n",
    "\n",
    "# Customise the plot, and add the original, noise-free data\n",
    "fig.set_size_inches(12,4.5)\n",
    "plt.plot(times, org_values, c='orange', label='Noise-free data')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}