{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DEMetropolis(Z): Population vs. History efficiency comparison\n",
    "The idea behind `DEMetropolis` is quite simple: Over time, a population of MCMC chains converges to the posterior, therefore the population can be used to inform joint proposals.\n",
    "But just like the most recent positions of an entire population converges, so does the history of each individual chain.\n",
    "\n",
    "In [ter Braak & Vrugt, 2008](https://doi.org/10.1007/s11222-008-9104-9) this history of posterior samples is used in the \"DE-MCMC-Z\" variant to make proposals.\n",
    "\n",
    "The implementation in PyMC3 is based on `DE-MCMC-Z`, but a few details are different. Namely, each `DEMetropolisZ` chain only looks into its own history. Also we use a different tuning scheme.\n",
    "\n",
    "In this notebook, a D-dimenstional multivariate normal target densities are sampled with `DEMetropolis` and `DEMetropolisZ` at different $N_{chains}$ settings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on PyMC3 v3.9.0\n"
     ]
    }
   ],
   "source": [
    "import pathlib\n",
    "import time\n",
    "\n",
    "import arviz as az\n",
    "import fastprogress\n",
    "import ipywidgets\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc3 as pm\n",
    "\n",
    "from matplotlib import cm\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "print(f\"Running on PyMC3 v{pm.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Benchmarking with a D-dimensional MVNormal model\n",
    "The function below constructs a fresh model for a given dimensionality and runs either `DEMetropolis` or `DEMetropolisZ` with the given settings. The resulting trace is saved with ArviZ.\n",
    "\n",
    "If the saved trace is already found, it is loaded from disk.\n",
    "\n",
    "Note that all traces are sampled with `cores=1`. This is because parallelization of `DEMetropolis` chains is slow at $O(N_{chains})$ and the comparison would be different depending on the number of available CPUs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_mvnormal_model(D: int) -> pm.Model:\n",
    "    true_mu = np.zeros(D)\n",
    "    true_cov = np.eye(D)\n",
    "    true_cov[:5, :5] = np.array(\n",
    "        [\n",
    "            [1, 0.5, 0, 0, 0],\n",
    "            [0.5, 2, 2, 0, 0],\n",
    "            [0, 2, 3, 0, 0],\n",
    "            [0, 0, 0, 4, 4],\n",
    "            [0, 0, 0, 4, 5],\n",
    "        ]\n",
    "    )\n",
    "\n",
    "    with pm.Model() as pmodel:\n",
    "        x = pm.MvNormal(\"x\", mu=true_mu, cov=true_cov, shape=(D,))\n",
    "\n",
    "    true_samples = x.random(size=1000)\n",
    "    truth_id = az.data.convert_to_inference_data(true_samples[np.newaxis, :], group=\"random\")\n",
    "    return pmodel, truth_id\n",
    "\n",
    "\n",
    "def run_setting(D, N_tune, N_draws, N_chains, algorithm):\n",
    "    savename = f\"{algorithm}_{D}_{N_tune}_{N_draws}_{N_chains}.nc\"\n",
    "    print(f\"Scenario filename: {savename}\")\n",
    "    if not pathlib.Path(savename).exists():\n",
    "        pmodel, truth_id = get_mvnormal_model(D)\n",
    "        with pmodel:\n",
    "            if algorithm == \"DE-MCMC\":\n",
    "                step = pm.DEMetropolis()\n",
    "            elif algorithm == \"DE-MCMC-Z\":\n",
    "                step = pm.DEMetropolisZ()\n",
    "            idata = pm.sample(\n",
    "                cores=1,\n",
    "                tune=N_tune,\n",
    "                draws=N_draws,\n",
    "                chains=N_chains,\n",
    "                step=step,\n",
    "                start={\"x\": [0] * D},\n",
    "                discard_tuned_samples=False,\n",
    "                return_inferencedata=True,\n",
    "            )\n",
    "        idata.to_netcdf(savename)\n",
    "    else:\n",
    "        idata = az.from_netcdf(savename)\n",
    "    return idata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running the Benchmark Scenarios\n",
    "Here a variety of different scenarios is computed and the results are aggregated in a multi-indexed DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scenario filename: DE-MCMC-Z_10_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_80.nc\n"
     ]
    }
   ],
   "source": [
    "df_results = pd.DataFrame(columns=\"algorithm,D,N_tune,N_draws,N_chains,t,idata\".split(\",\"))\n",
    "df_results = df_results.set_index(\"algorithm,D,N_tune,N_draws,N_chains\".split(\",\"))\n",
    "\n",
    "for algorithm in {\"DE-MCMC\", \"DE-MCMC-Z\"}:\n",
    "    for D in (10, 20, 40):\n",
    "        N_tune = 10000\n",
    "        N_draws = 10000\n",
    "        for N_chains in (5, 10, 20, 30, 40, 80):\n",
    "            idata = run_setting(D, N_tune, N_draws, N_chains, algorithm)\n",
    "            t = idata.posterior.sampling_time\n",
    "            df_results.loc[(algorithm, D, N_tune, N_draws, N_chains)] = (t, idata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>t</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>algorithm</th>\n",
       "      <th>D</th>\n",
       "      <th>N_tune</th>\n",
       "      <th>N_draws</th>\n",
       "      <th>N_chains</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC-Z</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>39.480404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>78.946246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>157.825632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>237.409558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>325.555073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>644.532668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>40.624523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>80.941480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>160.044703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>240.251857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>318.868806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>633.462279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>38.424908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>77.183491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>151.545646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>229.622070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>306.582845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>605.868718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>41.372329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>79.696340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>161.420276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>241.095004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>325.480585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>673.806912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>40.897735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>79.167305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>158.598296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>239.134815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>319.663353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>647.283743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>41.570163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>81.211638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>160.250596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>240.578438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>323.043744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>654.480116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               t\n",
       "algorithm D  N_tune N_draws N_chains            \n",
       "DE-MCMC-Z 10 10000  10000   5          39.480404\n",
       "                            10         78.946246\n",
       "                            20        157.825632\n",
       "                            30        237.409558\n",
       "                            40        325.555073\n",
       "                            80        644.532668\n",
       "          20 10000  10000   5          40.624523\n",
       "                            10         80.941480\n",
       "                            20        160.044703\n",
       "                            30        240.251857\n",
       "                            40        318.868806\n",
       "                            80        633.462279\n",
       "          40 10000  10000   5          38.424908\n",
       "                            10         77.183491\n",
       "                            20        151.545646\n",
       "                            30        229.622070\n",
       "                            40        306.582845\n",
       "                            80        605.868718\n",
       "DE-MCMC   10 10000  10000   5          41.372329\n",
       "                            10         79.696340\n",
       "                            20        161.420276\n",
       "                            30        241.095004\n",
       "                            40        325.480585\n",
       "                            80        673.806912\n",
       "          20 10000  10000   5          40.897735\n",
       "                            10         79.167305\n",
       "                            20        158.598296\n",
       "                            30        239.134815\n",
       "                            40        319.663353\n",
       "                            80        647.283743\n",
       "          40 10000  10000   5          41.570163\n",
       "                            10         81.211638\n",
       "                            20        160.250596\n",
       "                            30        240.578438\n",
       "                            40        323.043744\n",
       "                            80        654.480116"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results[[\"t\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing the traces\n",
    "From the traces, we need to compute the absolute and relative $N_{eff}$ and the $\\hat{R}$ to see if we can trust the posteriors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='36' class='' max='36' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [36/36 04:07<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='36' class='' max='36' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [36/36 03:38<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_temp = df_results.reset_index([\"N_tune\", \"N_draws\"])\n",
    "df_temp[\"N_samples\"] = [row.N_draws * row.Index[2] for row in df_temp.itertuples()]\n",
    "df_temp[\"ess\"] = [\n",
    "    float(az.ess(idata.posterior).x.mean()) for idata in fastprogress.progress_bar(df_temp.idata)\n",
    "]\n",
    "df_temp[\"rel_ess\"] = [row.ess / (row.N_samples) for row in df_temp.itertuples()]\n",
    "df_temp[\"r_hat\"] = [\n",
    "    float(az.rhat(idata.posterior).x.mean()) for idata in fastprogress.progress_bar(df_temp.idata)\n",
    "]\n",
    "df_temp = df_temp.sort_index(level=[\"algorithm\", \"D\", \"N_chains\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>N_tune</th>\n",
       "      <th>N_draws</th>\n",
       "      <th>t</th>\n",
       "      <th>idata</th>\n",
       "      <th>N_samples</th>\n",
       "      <th>ess</th>\n",
       "      <th>rel_ess</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>algorithm</th>\n",
       "      <th>D</th>\n",
       "      <th>N_chains</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>41.372329</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>161.337928</td>\n",
       "      <td>0.003227</td>\n",
       "      <td>1.037075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>79.696340</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>6544.566466</td>\n",
       "      <td>0.065446</td>\n",
       "      <td>1.007939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>161.420276</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>10793.753012</td>\n",
       "      <td>0.053969</td>\n",
       "      <td>1.002170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>241.095004</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>17230.365114</td>\n",
       "      <td>0.057435</td>\n",
       "      <td>1.001585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>325.480585</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>23779.212970</td>\n",
       "      <td>0.059448</td>\n",
       "      <td>1.001657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>673.806912</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>48587.391201</td>\n",
       "      <td>0.060734</td>\n",
       "      <td>1.001677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>40.897735</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>225.002393</td>\n",
       "      <td>0.004500</td>\n",
       "      <td>1.065703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>79.167305</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>2460.804074</td>\n",
       "      <td>0.024608</td>\n",
       "      <td>1.018381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>158.598296</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>5867.874441</td>\n",
       "      <td>0.029339</td>\n",
       "      <td>1.004721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>239.134815</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>7854.794714</td>\n",
       "      <td>0.026183</td>\n",
       "      <td>1.003860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>319.663353</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>11029.603789</td>\n",
       "      <td>0.027574</td>\n",
       "      <td>1.003299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>647.283743</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>23785.668391</td>\n",
       "      <td>0.029732</td>\n",
       "      <td>1.003380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>41.570163</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>210.035320</td>\n",
       "      <td>0.004201</td>\n",
       "      <td>1.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>81.211638</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1514.203713</td>\n",
       "      <td>0.015142</td>\n",
       "      <td>1.017016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>160.250596</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>4091.011164</td>\n",
       "      <td>0.020455</td>\n",
       "      <td>1.008246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>240.578438</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>5468.530043</td>\n",
       "      <td>0.018228</td>\n",
       "      <td>1.006061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>323.043744</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>5971.399139</td>\n",
       "      <td>0.014928</td>\n",
       "      <td>1.007163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>654.480116</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>11112.729480</td>\n",
       "      <td>0.013891</td>\n",
       "      <td>1.006995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC-Z</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>39.480404</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>1561.753302</td>\n",
       "      <td>0.031235</td>\n",
       "      <td>1.003462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>78.946246</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>3197.227554</td>\n",
       "      <td>0.031972</td>\n",
       "      <td>1.003189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>157.825632</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>6427.894527</td>\n",
       "      <td>0.032139</td>\n",
       "      <td>1.003029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>237.409558</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>9660.572980</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>1.003123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>325.555073</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>12878.469622</td>\n",
       "      <td>0.032196</td>\n",
       "      <td>1.002904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>644.532668</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>25622.228455</td>\n",
       "      <td>0.032028</td>\n",
       "      <td>1.003185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>40.624523</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>796.188075</td>\n",
       "      <td>0.015924</td>\n",
       "      <td>1.006516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>80.941480</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1632.672689</td>\n",
       "      <td>0.016327</td>\n",
       "      <td>1.006825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>160.044703</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>3146.073548</td>\n",
       "      <td>0.015730</td>\n",
       "      <td>1.007937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>240.251857</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>4650.554161</td>\n",
       "      <td>0.015502</td>\n",
       "      <td>1.007655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>318.868806</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>6269.984800</td>\n",
       "      <td>0.015675</td>\n",
       "      <td>1.007662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>633.462279</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>12664.502957</td>\n",
       "      <td>0.015831</td>\n",
       "      <td>1.007561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>38.424908</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>615.894429</td>\n",
       "      <td>0.012318</td>\n",
       "      <td>1.013711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>77.183491</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1209.913652</td>\n",
       "      <td>0.012099</td>\n",
       "      <td>1.014128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>151.545646</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>2344.691651</td>\n",
       "      <td>0.011723</td>\n",
       "      <td>1.013053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>229.622070</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>3537.643545</td>\n",
       "      <td>0.011792</td>\n",
       "      <td>1.012771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>306.582845</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>4539.441078</td>\n",
       "      <td>0.011349</td>\n",
       "      <td>1.012871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>605.868718</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>8837.933476</td>\n",
       "      <td>0.011047</td>\n",
       "      <td>1.012376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       N_tune  N_draws           t  \\\n",
       "algorithm D  N_chains                                \n",
       "DE-MCMC   10 5          10000    10000   41.372329   \n",
       "             10         10000    10000   79.696340   \n",
       "             20         10000    10000  161.420276   \n",
       "             30         10000    10000  241.095004   \n",
       "             40         10000    10000  325.480585   \n",
       "             80         10000    10000  673.806912   \n",
       "          20 5          10000    10000   40.897735   \n",
       "             10         10000    10000   79.167305   \n",
       "             20         10000    10000  158.598296   \n",
       "             30         10000    10000  239.134815   \n",
       "             40         10000    10000  319.663353   \n",
       "             80         10000    10000  647.283743   \n",
       "          40 5          10000    10000   41.570163   \n",
       "             10         10000    10000   81.211638   \n",
       "             20         10000    10000  160.250596   \n",
       "             30         10000    10000  240.578438   \n",
       "             40         10000    10000  323.043744   \n",
       "             80         10000    10000  654.480116   \n",
       "DE-MCMC-Z 10 5          10000    10000   39.480404   \n",
       "             10         10000    10000   78.946246   \n",
       "             20         10000    10000  157.825632   \n",
       "             30         10000    10000  237.409558   \n",
       "             40         10000    10000  325.555073   \n",
       "             80         10000    10000  644.532668   \n",
       "          20 5          10000    10000   40.624523   \n",
       "             10         10000    10000   80.941480   \n",
       "             20         10000    10000  160.044703   \n",
       "             30         10000    10000  240.251857   \n",
       "             40         10000    10000  318.868806   \n",
       "             80         10000    10000  633.462279   \n",
       "          40 5          10000    10000   38.424908   \n",
       "             10         10000    10000   77.183491   \n",
       "             20         10000    10000  151.545646   \n",
       "             30         10000    10000  229.622070   \n",
       "             40         10000    10000  306.582845   \n",
       "             80         10000    10000  605.868718   \n",
       "\n",
       "                                                                   idata  \\\n",
       "algorithm D  N_chains                                                      \n",
       "DE-MCMC   10 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          20 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          40 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "DE-MCMC-Z 10 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          20 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          40 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "\n",
       "                       N_samples           ess   rel_ess     r_hat  \n",
       "algorithm D  N_chains                                               \n",
       "DE-MCMC   10 5             50000    161.337928  0.003227  1.037075  \n",
       "             10           100000   6544.566466  0.065446  1.007939  \n",
       "             20           200000  10793.753012  0.053969  1.002170  \n",
       "             30           300000  17230.365114  0.057435  1.001585  \n",
       "             40           400000  23779.212970  0.059448  1.001657  \n",
       "             80           800000  48587.391201  0.060734  1.001677  \n",
       "          20 5             50000    225.002393  0.004500  1.065703  \n",
       "             10           100000   2460.804074  0.024608  1.018381  \n",
       "             20           200000   5867.874441  0.029339  1.004721  \n",
       "             30           300000   7854.794714  0.026183  1.003860  \n",
       "             40           400000  11029.603789  0.027574  1.003299  \n",
       "             80           800000  23785.668391  0.029732  1.003380  \n",
       "          40 5             50000    210.035320  0.004201  1.066667  \n",
       "             10           100000   1514.203713  0.015142  1.017016  \n",
       "             20           200000   4091.011164  0.020455  1.008246  \n",
       "             30           300000   5468.530043  0.018228  1.006061  \n",
       "             40           400000   5971.399139  0.014928  1.007163  \n",
       "             80           800000  11112.729480  0.013891  1.006995  \n",
       "DE-MCMC-Z 10 5             50000   1561.753302  0.031235  1.003462  \n",
       "             10           100000   3197.227554  0.031972  1.003189  \n",
       "             20           200000   6427.894527  0.032139  1.003029  \n",
       "             30           300000   9660.572980  0.032202  1.003123  \n",
       "             40           400000  12878.469622  0.032196  1.002904  \n",
       "             80           800000  25622.228455  0.032028  1.003185  \n",
       "          20 5             50000    796.188075  0.015924  1.006516  \n",
       "             10           100000   1632.672689  0.016327  1.006825  \n",
       "             20           200000   3146.073548  0.015730  1.007937  \n",
       "             30           300000   4650.554161  0.015502  1.007655  \n",
       "             40           400000   6269.984800  0.015675  1.007662  \n",
       "             80           800000  12664.502957  0.015831  1.007561  \n",
       "          40 5             50000    615.894429  0.012318  1.013711  \n",
       "             10           100000   1209.913652  0.012099  1.014128  \n",
       "             20           200000   2344.691651  0.011723  1.013053  \n",
       "             30           300000   3537.643545  0.011792  1.012771  \n",
       "             40           400000   4539.441078  0.011349  1.012871  \n",
       "             80           800000   8837.933476  0.011047  1.012376  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Effective Sample Size\n",
    "In this diagram, we'll plot the relative effective sample size against the number of chains.\n",
    "\n",
    "Because our computation above ran everything with $N_{cores}=1$, we can't make a realistic comparison of effective sampling rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1680x840 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, right = plt.subplots(dpi=140, ncols=1, sharey=\"row\", figsize=(12, 6))\n",
    "\n",
    "for algorithm, linestyle in zip([\"DE-MCMC\", \"DE-MCMC-Z\"], [\"-\", \"--\"]):\n",
    "    dimensionalities = list(sorted(set(df_temp.reset_index().D)))[::-1]\n",
    "    N_dimensionalities = len(dimensionalities)\n",
    "    for d, dim in enumerate(dimensionalities):\n",
    "        color = cm.autumn(d / N_dimensionalities)\n",
    "        df = df_temp.loc[(algorithm, dim)].reset_index()\n",
    "        right.plot(\n",
    "            df.N_chains,\n",
    "            df.rel_ess * 100,\n",
    "            linestyle=linestyle,\n",
    "            color=color,\n",
    "            label=f\"{algorithm}, {dim} dimensions\",\n",
    "        )\n",
    "\n",
    "right.legend()\n",
    "right.set_ylabel(\"$S_{eff}$   [%]\")\n",
    "right.set_xlabel(\"$N_{chains}$   [-]\")\n",
    "right.set_ylim(0)\n",
    "right.set_xlim(0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Computation Time\n",
    "As all traces were sampled with `cores=1`, we expect the computation time to grow linearly with the number of samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 840x560 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(dpi=140)\n",
    "\n",
    "for alg in [\"DE-MCMC\", \"DE-MCMC-Z\"]:\n",
    "    df = df_temp.sort_values(\"N_samples\").loc[alg]\n",
    "    ax.scatter(df.N_samples / 1000, df.t, label=alg)\n",
    "ax.legend()\n",
    "ax.set_xlabel(\"$N_{samples} / 1000$   [-]\")\n",
    "ax.set_ylabel(\"$t_{sampling}$   [s]\")\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the Traces\n",
    "By comparing DE-MCMC and DE-MCMC-Z for a setting such as D=10, $N_{chains}$=5, you can see how DE-MCMC-Z has a clear advantage over a DE-MCMC that is run with too few chains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "61e59e564d63444695798ab504fd9a04",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='algorithm', options=('DE-MCMC', 'DE-MCMC-Z'), value='DE-MCMC'), Dr…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_trace(algorithm, D, N_chains):\n",
    "    n_plot = min(10, N_chains)\n",
    "    fig, axs = plt.subplots(nrows=n_plot, figsize=(12, 2 * n_plot))\n",
    "    idata = df_results.loc[(algorithm, D, 10000, 10000, N_chains), \"idata\"]\n",
    "    for c in range(n_plot):\n",
    "        samples = idata.posterior.x[c, :, 0]\n",
    "        axs[c].plot(samples, linewidth=0.5)\n",
    "    plt.show()\n",
    "    return\n",
    "\n",
    "\n",
    "ipywidgets.interact_manual(\n",
    "    plot_trace,\n",
    "    algorithm=[\"DE-MCMC\", \"DE-MCMC-Z\"],\n",
    "    D=sorted(set(df_results.reset_index().D)),\n",
    "    N_chains=sorted(set(df_results.reset_index().N_chains)),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspecting the Sampler Stats\n",
    "With the following widget, you can explore the sampler stats to better understand the tuning phase.\n",
    "\n",
    "The `tune=None` default setting of `DEMetropolisZ` is the most robust tuning strategy. However, setting `tune='lambda'` can improves the initial convergence by doing a swing-in that makes it diverge much faster than it would with a constant `lambda`. The downside of tuning `lambda` is that if the tuning is stopped too early, it can get stuck with a very inefficient `lambda`.\n",
    "\n",
    "Therefore, you should always inspect the `lambda` and rolling mean of `accepted` sampler stats when picking $N_{tune}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "977e8281d23046fdbd396dd925c98126",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='sname', options=('accepted', 'accept', 'scaling', 'lambda'), value…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_stat(*, sname: str = \"accepted\", rolling=True, algorithm, D, N_chains):\n",
    "    fig, ax = plt.subplots(ncols=1, figsize=(12, 7), sharey=\"row\")\n",
    "    row = df_results.loc[(algorithm, D, 10000, 10000, N_chains)]\n",
    "    for c in df_results.idata[0].posterior.chain:\n",
    "        S = np.hstack(\n",
    "            [\n",
    "                # idata.warmup_sample_stats[sname].sel(chain=c),\n",
    "                idata.sample_stats[sname].sel(chain=c)\n",
    "            ]\n",
    "        )\n",
    "        y = pd.Series(S).rolling(window=500).mean().iloc[500 - 1 :].values if rolling else S\n",
    "        ax.plot(y, linewidth=0.5)\n",
    "    ax.set_xlabel(\"iteration\")\n",
    "    ax.set_ylabel(sname)\n",
    "    plt.show()\n",
    "    return\n",
    "\n",
    "\n",
    "ipywidgets.interact_manual(\n",
    "    plot_stat,\n",
    "    sname=set(df_results.idata[0].sample_stats.keys()),\n",
    "    rolling=True,\n",
    "    algorithm=[\"DE-MCMC-Z\", \"DE-MCMC\"],\n",
    "    D=sorted(set(df_results.reset_index().D)),\n",
    "    N_chains=sorted(set(df_results.reset_index().N_chains)),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "When used with the recommended settings, `DEMetropolis` is on par with `DEMetropolisZ`. On high-dimensional problems however, `DEMetropolisZ` can achieve the same effective sample sizes with less chains.\n",
    "\n",
    "On problems where not enough CPUs are available to run $N_{chains}=2\\cdot D$ `DEMetropolis` chains, the `DEMetropolisZ` should have much better scaling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pandas       1.0.4\n",
      "numpy        1.18.5\n",
      "arviz        0.8.3\n",
      "ipywidgets   7.5.1\n",
      "fastprogress 0.2.3\n",
      "pymc3        3.9.0\n",
      "last updated: Sat Jun 13 2020 \n",
      "\n",
      "CPython 3.7.7\n",
      "IPython 7.15.0\n",
      "watermark 2.0.2\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "00defadd4aa548228a33e4433e32cf28": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "03e33843e9e543a387101951963407ed": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "DE-MCMC-Z",
        "DE-MCMC"
       ],
       "description": "algorithm",
       "index": 0,
       "layout": "IPY_MODEL_23c07ca9656e438486861bde98684ce2",
       "style": "IPY_MODEL_e504b524bec54189ba97c2b1d0b6f356"
      }
     },
     "070a65e404c943d19f4c1c37ee12b0b7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "071662b1d68343b9a53593694c5282aa": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "08037b74bd20472ca969475584fada93": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "10b9b34d6b854ea6bce59c5f54f7ba38": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1b3bc698fdec44a0a6c54d5eeb25964b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Run Interact",
       "layout": "IPY_MODEL_62579b7c1890493cb5d1c6fe33f4bc82",
       "style": "IPY_MODEL_bedeebd57592464382c018bb14d9a783"
      }
     },
     "1c4458fb21e644d09f9c519ad6f9b01d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1ce6022d2782411eb8739adbca25c7bc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1fae4aa1e0b14348a8acc3987c175b74": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "accepted",
        "accept",
        "scaling",
        "lambda"
       ],
       "description": "sname",
       "index": 0,
       "layout": "IPY_MODEL_77218f3447724a9dbc7aa8c067be43f1",
       "style": "IPY_MODEL_d529fd997f544627bb3edfaa4536825d"
      }
     },
     "205c9a550d084570a9ca2e5e185ef4f2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "10",
        "20",
        "40"
       ],
       "description": "D",
       "index": 0,
       "layout": "IPY_MODEL_89aa82d21df84bcba923d7c72424473b",
       "style": "IPY_MODEL_8c36b2d6a01542f88748bd268a0d2d1a"
      }
     },
     "2114178f7c0248f89f9999e75388e56b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "212431fe84e74e659b6c2d6a195a1f64": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "DE-MCMC-Z",
        "DE-MCMC"
       ],
       "description": "algorithm",
       "index": 0,
       "layout": "IPY_MODEL_75a422235cd4414ea4cc59807509e198",
       "style": "IPY_MODEL_bbf47b925275479a8ff2953fb0b044a4"
      }
     },
     "22825e377d09419a8078f84dc560506a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "236cd9d4fdfc4904b7eb3e2249fa17fe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "23c07ca9656e438486861bde98684ce2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "23d89e08515f44478d8fbfec9fd39d5c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2857df3e0d4c44c2bcf1d77b6c7aa56b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_236cd9d4fdfc4904b7eb3e2249fa17fe",
       "outputs": [
        {
         "data": {
          "image/png": "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\n",
          "text/plain": "<Figure size 864x504 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "29c7d03e7a834439bd04cd1ae8327429": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "DE-MCMC",
        "DE-MCMC-Z"
       ],
       "description": "algorithm",
       "index": 0,
       "layout": "IPY_MODEL_4a2c0ce74c0e45ce9c784357528757eb",
       "style": "IPY_MODEL_2bc6a542c90c4c749ef1f240b109f3d3"
      }
     },
     "2bc6a542c90c4c749ef1f240b109f3d3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "2c911ecb3bf94ae887a1d7a1f37cdd6c": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_1ce6022d2782411eb8739adbca25c7bc",
       "outputs": [
        {
         "name": "stderr",
         "output_type": "stream",
         "text": "No handles with labels found to put in legend.\n"
        },
        {
         "data": {
          "image/png": "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\n",
          "text/plain": "<Figure size 864x504 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "2d0b06189e8747f1971c0eaf49b8a7bd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2ee707bbcd44403cb18d4fd20204d3fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Run Interact",
       "layout": "IPY_MODEL_fc5b3947b7034914a01c4a710670da9a",
       "style": "IPY_MODEL_22825e377d09419a8078f84dc560506a"
      }
     },
     "34e20e3d811148d1a872cad7a998ef0f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "35b330711b254f5bbc190b62360beff4": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "35cf393e3dc0455bbc280093c4024139": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_a783a59d7d8040f3bae537688d9bee64",
        "IPY_MODEL_6aabbf19a8944cda8837366f35445af0",
        "IPY_MODEL_7582976d97754995a31e13256b736623",
        "IPY_MODEL_dd3d4cc6a9974344aafcfbf53f38d0da",
        "IPY_MODEL_ff18a7632b67486791c17ad4619e5681",
        "IPY_MODEL_6e28f4e7f90a4208a0d49d3411c6c735",
        "IPY_MODEL_bbc0bfc1872342a4bec13fd25450cd2c"
       ],
       "layout": "IPY_MODEL_99bddb0cbae54218969787f799cdda14"
      }
     },
     "35d524aca67842039f6b68f201cb1c2f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "38c82b23442e47d3a6d14788cb3d155a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "3aee6af663534596a552a387e784c45c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "41a1d829168c439ca052f97c09974563": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "43388ce63b6744b19c243e022d448a1a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4a2c0ce74c0e45ce9c784357528757eb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "4afaaa8c36904b17a3fd38b4c111f3cc": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "4ed981f028b94299b4e5483278780a70": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "10",
        "20",
        "40"
       ],
       "description": "D",
       "index": 0,
       "layout": "IPY_MODEL_35d524aca67842039f6b68f201cb1c2f",
       "style": "IPY_MODEL_5a002e3f2efc47f2baf5f0cfc9c5f287"
      }
     },
     "4f2595ecffc34b2581cbfe9206d30f8a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5a002e3f2efc47f2baf5f0cfc9c5f287": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5dbee792fa844af7a9ab3d47bedabaf3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "61189cec3dad47d7980bbeace4b608e2": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_10b9b34d6b854ea6bce59c5f54f7ba38",
       "outputs": [
        {
         "data": {
          "image/png": "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\n",
          "text/plain": "<Figure size 864x720 with 5 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "61e59e564d63444695798ab504fd9a04": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_e67cc226831e418ca587e8655955c67b",
        "IPY_MODEL_d3522f303dcb40b8a0a7fe754b5be135",
        "IPY_MODEL_fb22e24f8a56454082f71c3ff4d3130a",
        "IPY_MODEL_2ee707bbcd44403cb18d4fd20204d3fb",
        "IPY_MODEL_61189cec3dad47d7980bbeace4b608e2"
       ],
       "layout": "IPY_MODEL_f820632363454e048c058ff000200032"
      }
     },
     "62579b7c1890493cb5d1c6fe33f4bc82": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "64c51c2f2dec40b1a3a24ba4c4f75608": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "6609b2f6da7241b280df4ff090c22c0b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6aabbf19a8944cda8837366f35445af0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "rolling",
       "disabled": false,
       "layout": "IPY_MODEL_9b33e679ab8a48efaa53668a1856fc0b",
       "style": "IPY_MODEL_38c82b23442e47d3a6d14788cb3d155a",
       "value": true
      }
     },
     "6e28f4e7f90a4208a0d49d3411c6c735": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Run Interact",
       "layout": "IPY_MODEL_23d89e08515f44478d8fbfec9fd39d5c",
       "style": "IPY_MODEL_9525cc777d5b4f2696fd1def04c1e473"
      }
     },
     "735ed76e44ea47f8901a345eb6354b13": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "755841e5fa5a4e53957e7ff03769e0fe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "7582976d97754995a31e13256b736623": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "DE-MCMC-Z",
        "DE-MCMC"
       ],
       "description": "algorithm",
       "index": 0,
       "layout": "IPY_MODEL_fb898cf282c147759642a3b7127f2da2",
       "style": "IPY_MODEL_34e20e3d811148d1a872cad7a998ef0f"
      }
     },
     "75a422235cd4414ea4cc59807509e198": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "77218f3447724a9dbc7aa8c067be43f1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "802a339236834fdb9f502abf6d9b07ba": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_43388ce63b6744b19c243e022d448a1a",
       "style": "IPY_MODEL_94939681574c474a9187cda4f947e82c"
      }
     },
     "86806efcacba4689af9450a3c8b6006d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Run Interact",
       "layout": "IPY_MODEL_41a1d829168c439ca052f97c09974563",
       "style": "IPY_MODEL_ae446717064b45da857e5d3800654982"
      }
     },
     "89aa82d21df84bcba923d7c72424473b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8b881e76a4c24031b4905c67c51a98c9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8c36b2d6a01542f88748bd268a0d2d1a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "90acb9d3690247eda03a2337ac946fe0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "920872bde73645f383e1b006d20dd724": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "rolling",
       "disabled": false,
       "layout": "IPY_MODEL_c69c4f598c33463e9055e6b458b819cb",
       "style": "IPY_MODEL_4afaaa8c36904b17a3fd38b4c111f3cc",
       "value": true
      }
     },
     "9433a52f5b7a403b93335326131054f5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "94939681574c474a9187cda4f947e82c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "9525cc777d5b4f2696fd1def04c1e473": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "977e8281d23046fdbd396dd925c98126": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_1fae4aa1e0b14348a8acc3987c175b74",
        "IPY_MODEL_920872bde73645f383e1b006d20dd724",
        "IPY_MODEL_03e33843e9e543a387101951963407ed",
        "IPY_MODEL_205c9a550d084570a9ca2e5e185ef4f2",
        "IPY_MODEL_a8f361fc1e0b400eb69452b43fa51d4a",
        "IPY_MODEL_d8a74f9730cc4db2ae38cac83f6316a6",
        "IPY_MODEL_2857df3e0d4c44c2bcf1d77b6c7aa56b"
       ],
       "layout": "IPY_MODEL_d1349803a8304f068a6c9042148e60d2"
      }
     },
     "99bddb0cbae54218969787f799cdda14": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9b33e679ab8a48efaa53668a1856fc0b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9cd341d99ddc4f57a4195fda9a22cd9b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a179bb6eeee449b3b5480f863cfd0f8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "accepted",
        "accept",
        "scaling",
        "lambda"
       ],
       "description": "sname",
       "index": 0,
       "layout": "IPY_MODEL_ab643fd491684f8298a7dabfdc3a7849",
       "style": "IPY_MODEL_eb0153c3f537458c9188c325009f5876"
      }
     },
     "a62ec46009d94a48b3ae59079be84b9c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "a783a59d7d8040f3bae537688d9bee64": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "lambda",
        "accept",
        "scaling",
        "accepted"
       ],
       "description": "sname",
       "index": 3,
       "layout": "IPY_MODEL_755841e5fa5a4e53957e7ff03769e0fe",
       "style": "IPY_MODEL_070a65e404c943d19f4c1c37ee12b0b7"
      }
     },
     "a8f361fc1e0b400eb69452b43fa51d4a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_cdfc00cc6cb1493587fb257d734f78cd",
       "style": "IPY_MODEL_735ed76e44ea47f8901a345eb6354b13"
      }
     },
     "ab643fd491684f8298a7dabfdc3a7849": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ae446717064b45da857e5d3800654982": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "baa78f93ddab45b7a7c67248da5dcdcb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bbc0bfc1872342a4bec13fd25450cd2c": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_6609b2f6da7241b280df4ff090c22c0b"
      }
     },
     "bbf47b925275479a8ff2953fb0b044a4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bc351ac50fa04470a858411badcb5e71": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "bedeebd57592464382c018bb14d9a783": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonStyleModel",
      "state": {}
     },
     "bf562d9a98f74110a8e9ff1d685b8900": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "CheckboxModel",
      "state": {
       "description": "rolling",
       "disabled": false,
       "layout": "IPY_MODEL_8b881e76a4c24031b4905c67c51a98c9",
       "style": "IPY_MODEL_baa78f93ddab45b7a7c67248da5dcdcb",
       "value": true
      }
     },
     "c46c7898e664471495095c05d56cf0a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_a179bb6eeee449b3b5480f863cfd0f8b",
        "IPY_MODEL_bf562d9a98f74110a8e9ff1d685b8900",
        "IPY_MODEL_212431fe84e74e659b6c2d6a195a1f64",
        "IPY_MODEL_4ed981f028b94299b4e5483278780a70",
        "IPY_MODEL_802a339236834fdb9f502abf6d9b07ba",
        "IPY_MODEL_86806efcacba4689af9450a3c8b6006d",
        "IPY_MODEL_2c911ecb3bf94ae887a1d7a1f37cdd6c"
       ],
       "layout": "IPY_MODEL_2114178f7c0248f89f9999e75388e56b"
      }
     },
     "c6342cf8f4d34e61bb90f22b7db57ed5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c69c4f598c33463e9055e6b458b819cb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "cc385b26a9d4432a842d332905ec2983": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "cdfc00cc6cb1493587fb257d734f78cd": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ce7f67a2fa024f18b2d52c8ca675e13e": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_4f2595ecffc34b2581cbfe9206d30f8a",
       "style": "IPY_MODEL_64c51c2f2dec40b1a3a24ba4c4f75608"
      }
     },
     "d1349803a8304f068a6c9042148e60d2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "d3522f303dcb40b8a0a7fe754b5be135": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "10",
        "20",
        "40"
       ],
       "description": "D",
       "index": 0,
       "layout": "IPY_MODEL_c6342cf8f4d34e61bb90f22b7db57ed5",
       "style": "IPY_MODEL_a62ec46009d94a48b3ae59079be84b9c"
      }
     },
     "d4062c9faa184aab9f34cbb428155108": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_3aee6af663534596a552a387e784c45c"
      }
     },
     "d529fd997f544627bb3edfaa4536825d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "d8a74f9730cc4db2ae38cac83f6316a6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "ButtonModel",
      "state": {
       "description": "Run Interact",
       "layout": "IPY_MODEL_9cd341d99ddc4f57a4195fda9a22cd9b",
       "style": "IPY_MODEL_00defadd4aa548228a33e4433e32cf28"
      }
     },
     "dd3d4cc6a9974344aafcfbf53f38d0da": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "10",
        "20",
        "40"
       ],
       "description": "D",
       "index": 0,
       "layout": "IPY_MODEL_071662b1d68343b9a53593694c5282aa",
       "style": "IPY_MODEL_bc351ac50fa04470a858411badcb5e71"
      }
     },
     "dd456bd79d0b423289e58813e383c0c5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "10",
        "20",
        "40"
       ],
       "description": "D",
       "index": 0,
       "layout": "IPY_MODEL_35b330711b254f5bbc190b62360beff4",
       "style": "IPY_MODEL_9433a52f5b7a403b93335326131054f5"
      }
     },
     "e504b524bec54189ba97c2b1d0b6f356": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "e5b29050cfef40f8892e1f35cabd683d": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "e67cc226831e418ca587e8655955c67b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "DE-MCMC",
        "DE-MCMC-Z"
       ],
       "description": "algorithm",
       "index": 1,
       "layout": "IPY_MODEL_2d0b06189e8747f1971c0eaf49b8a7bd",
       "style": "IPY_MODEL_90acb9d3690247eda03a2337ac946fe0"
      }
     },
     "eb0153c3f537458c9188c325009f5876": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "f820632363454e048c058ff000200032": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f97ef5861ead4a7aad1d4ffdcea5f341": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_29c7d03e7a834439bd04cd1ae8327429",
        "IPY_MODEL_dd456bd79d0b423289e58813e383c0c5",
        "IPY_MODEL_ce7f67a2fa024f18b2d52c8ca675e13e",
        "IPY_MODEL_1b3bc698fdec44a0a6c54d5eeb25964b",
        "IPY_MODEL_d4062c9faa184aab9f34cbb428155108"
       ],
       "layout": "IPY_MODEL_e5b29050cfef40f8892e1f35cabd683d"
      }
     },
     "fb22e24f8a56454082f71c3ff4d3130a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_cc385b26a9d4432a842d332905ec2983",
       "style": "IPY_MODEL_1c4458fb21e644d09f9c519ad6f9b01d"
      }
     },
     "fb898cf282c147759642a3b7127f2da2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "fc5b3947b7034914a01c4a710670da9a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "ff18a7632b67486791c17ad4619e5681": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_08037b74bd20472ca969475584fada93",
       "style": "IPY_MODEL_5dbee792fa844af7a9ab3d47bedabaf3"
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}