{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Estimate Neural Dimensions\n",
    "\n",
    "This notebook explains how to use the module `dimension` to estimate the dimension (extrinsic or intrinsic) of the neural manifold embedded in neural state space $\\mathbb{R}^N$.\n",
    "\n",
    "In particular, this notebook tests several existing methods of dimension estimation on the synthetic manifolds from the module `datasets.synthetic` to evaluate their performance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set-up + Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working directory:  /home/facosta/neurometry/neurometry\n",
      "Directory added to path:  /home/facosta/neurometry\n",
      "Directory added to path:  /home/facosta/neurometry/neurometry\n"
     ]
    },
    {
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       "                        \"jupyter_black in a non-lab notebook with \" +\n",
       "                        \"`is_lab=True`. Please double check, and if \" +\n",
       "                        \"loading with `%load_ext` please review the README!\"\n",
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       "                    alert(msg)\n",
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     "text": [
      "INFO:root:Using pytorch backend\n",
      "INFO:numexpr.utils:Note: NumExpr detected 32 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 8.\n",
      "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n"
     ]
    }
   ],
   "source": [
    "import setup\n",
    "\n",
    "setup.main()\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%load_ext jupyter_black\n",
    "\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import skdim\n",
    "\n",
    "import neurometry.datasets.synthetic as synthetic\n",
    "from neurometry.dimension.dimension import (\n",
    "    plot_dimension_experiments,\n",
    "    skdim_dimension_estimation,\n",
    ")\n",
    "\n",
    "import torch\n",
    "\n",
    "os.environ[\"GEOMSTATS_BACKEND\"] = \"pytorch\"\n",
    "import geomstats.backend as gs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show Methods Implemented in $\\texttt{scikit-dimension}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CorrInt', 'DANCo', 'ESS', 'FisherS', 'KNN', 'MADA', 'MLE', 'MOM', 'MiND_ML', 'TLE', 'TwoNN', 'lPCA']\n"
     ]
    }
   ],
   "source": [
    "all_methods = [method for method in dir(skdim.id) if not method.startswith(\"_\")]\n",
    "print(all_methods)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define Parameters for Experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_points = 2000\n",
    "num_neurons = 40\n",
    "max_id_dim = 20\n",
    "dimensions = [_ for _ in range(1, max_id_dim + 1)]\n",
    "methods = [\"MLE\", \"lPCA\", \"TwoNN\", \"CorrInt\"]\n",
    "poisson_multiplier = 1\n",
    "num_trials = 20\n",
    "ref_frequency = 50"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Experiments for Hyperspheres with $\\texttt{scikit-dimension}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "manifold_type = \"hypersphere\"\n",
    "id_estimates_hyperspheres, noise_level = skdim_dimension_estimation(\n",
    "    methods,\n",
    "    dimensions,\n",
    "    manifold_type,\n",
    "    num_trials,\n",
    "    num_points,\n",
    "    num_neurons,\n",
    "    poisson_multiplier,\n",
    "    ref_frequency,\n",
    ")\n",
    "plot_dimension_experiments(\n",
    "    id_estimates_hyperspheres, dimensions, max_id_dim, manifold_type, noise_level\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Experiments for Hypertori with $\\texttt{scikit-dimension}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "manifold_type = \"hypertorus\"\n",
    "id_estimates_hypertori, noise_level = skdim_dimension_estimation(\n",
    "    methods,\n",
    "    dimensions,\n",
    "    manifold_type,\n",
    "    num_trials,\n",
    "    num_points,\n",
    "    num_neurons,\n",
    "    poisson_multiplier,\n",
    "    ref_frequency,\n",
    ")\n",
    "plot_dimension_experiments(\n",
    "    id_estimates_hypertori, dimensions, max_id_dim, manifold_type, noise_level\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try Single Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_points = 2000\n",
    "num_neurons = 40\n",
    "poisson_multiplier = 1\n",
    "num_trials = 50\n",
    "ref_frequency = 50\n",
    "manifold_type = \"hypertorus\"\n",
    "\n",
    "\n",
    "point_generator = getattr(synthetic, manifold_type)\n",
    "points = point_generator(intrinsic_dim=1, num_points=num_points)\n",
    "neural_manifold, _ = synthetic.synthetic_neural_manifold(\n",
    "    points,\n",
    "    num_neurons,\n",
    "    \"sigmoid\",\n",
    "    poisson_multiplier,\n",
    "    ref_frequency,\n",
    "    scales=gs.ones(num_neurons),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2000, 40])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neural_manifold.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.  2.  3.  5.  2.  2.  4.  2.  2.  2.  2. 17.  4.  2. 40.  2.  2.  2.\n",
      "  5.  3.  2.  2.  2.  3. 40.  2.  2. 11. 10.  5. 40.  2.  4.  4. 38.  3.\n",
      "  3.  3.  1.  3.  2. 40.  2.  3.  2.  7.  2.  9.  2.  2.]\n"
     ]
    }
   ],
   "source": [
    "method_name = \"KNN\"\n",
    "\n",
    "method = getattr(skdim.id, method_name)()\n",
    "\n",
    "estimates = np.zeros(num_trials)\n",
    "\n",
    "for trial_idx in range(num_trials):\n",
    "    method.fit(neural_manifold)\n",
    "    estimates[trial_idx] = np.mean(method.dimension_)\n",
    "\n",
    "print(estimates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "try: find median/mode of KNN algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(2.)"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.median(torch.tensor(estimates))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "try: first PCA data down to minimal embedding dim, then nonlinear dim est"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PLS approach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.cross_decomposition import PLSRegression\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.multioutput import MultiOutputRegressor\n",
    "\n",
    "\n",
    "def evaluate_pls_with_different_K(X, Y, K_values):\n",
    "    \"\"\"\n",
    "    Evaluate PLS Regression followed by Multi-Output Regression for different numbers of components (K).\n",
    "\n",
    "    Parameters:\n",
    "    - X: Neural activity data (predictors)\n",
    "    - Y: Continuous 2D outcomes\n",
    "    - K_values: A list of integers representing different numbers of PLS components to evaluate\n",
    "\n",
    "    Returns:\n",
    "    - A list of R^2 scores corresponding to each K-value\n",
    "    \"\"\"\n",
    "    r2_scores = []\n",
    "    projected_X = []\n",
    "\n",
    "    # Split data into training and test sets\n",
    "    X_train, X_test, Y_train, Y_test = train_test_split(\n",
    "        X, Y, test_size=0.2, random_state=42\n",
    "    )\n",
    "\n",
    "    for K in K_values:\n",
    "        # Initialize and fit PLS Regression\n",
    "        pls = PLSRegression(n_components=K)\n",
    "        pls.fit(X_train, Y_train)\n",
    "\n",
    "        # Project both training and test data using the PLS model\n",
    "        X_train_pls = pls.transform(X_train)\n",
    "        X_test_pls = pls.transform(X_test)\n",
    "        projected_X.append(pls.inverse_transform(X_test_pls))\n",
    "\n",
    "        # Fit the Multi-Output Regression model on the reduced data\n",
    "        multi_output_reg = MultiOutputRegressor(LinearRegression()).fit(\n",
    "            X_train_pls, Y_train\n",
    "        )\n",
    "\n",
    "        # Predict and evaluate using R^2 score\n",
    "        Y_pred = multi_output_reg.predict(X_test_pls)\n",
    "        score = r2_score(\n",
    "            Y_test, Y_pred, multioutput=\"uniform_average\"\n",
    "        )  # Average R^2 score across all outputs\n",
    "        r2_scores.append(score)\n",
    "\n",
    "    return r2_scores, projected_X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "\n",
    "def evaluate_PCA_with_different_K(X, Y, K_values):\n",
    "    \"\"\"\n",
    "    Evaluate PCA for different numbers of components (K).\n",
    "\n",
    "    Parameters:\n",
    "    - X: Data to perform PCA on\n",
    "    - K_values: A list of integers representing different numbers of PCA components to evaluate\n",
    "\n",
    "    Returns:\n",
    "    - A list of R^2 scores corresponding to each K-value\n",
    "    \"\"\"\n",
    "    r2_scores = []\n",
    "    projected_X = []\n",
    "\n",
    "    # Split data into training and test sets\n",
    "\n",
    "    X_train, X_test, Y_train, Y_test = train_test_split(\n",
    "        X, Y, test_size=0.2, random_state=42\n",
    "    )\n",
    "\n",
    "    for K in K_values:\n",
    "        # Initialize and fit PCA\n",
    "        pca = PCA(n_components=K)\n",
    "        pca.fit(X_train)\n",
    "\n",
    "        # Project both training and test data using the PCA model\n",
    "        X_train_pca = pca.transform(X_train)\n",
    "        X_test_pca = pca.transform(X_test)\n",
    "        projected_X.append(pca.inverse_transform(X_test_pca))\n",
    "\n",
    "        # Fit the Multi-Output Regression model on the reduced data\n",
    "        multi_output_reg = MultiOutputRegressor(LinearRegression()).fit(\n",
    "            X_train_pca, Y_train\n",
    "        )\n",
    "\n",
    "        # Predict and evaluate using R^2 score\n",
    "        Y_pred = multi_output_reg.predict(X_test_pca)\n",
    "        score = r2_score(\n",
    "            Y_test, Y_pred, multioutput=\"uniform_average\"\n",
    "        )  # Average R^2 score across all outputs\n",
    "        r2_scores.append(score)\n",
    "\n",
    "    return r2_scores, projected_X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.model_selection import KFold\n",
    "\n",
    "\n",
    "def evaluate_PCA_with_different_K_cv(X, Y, K_values, n_splits=5):\n",
    "    \"\"\"\n",
    "    Evaluate PCA for different numbers of components (K) using cross-validation.\n",
    "\n",
    "    Parameters:\n",
    "    - X: Data to perform PCA on\n",
    "    - Y: Continuous 2D outcomes\n",
    "    - K_values: A list of integers representing different numbers of PCA components to evaluate\n",
    "    - n_splits: Number of folds in K-Fold cross-validation\n",
    "\n",
    "    Returns:\n",
    "    - A dictionary of R^2 scores for each K-value, each containing a list of scores for each fold\n",
    "    \"\"\"\n",
    "    cv_scores = {\n",
    "        K: [] for K in K_values\n",
    "    }  # Initialize dictionary to store scores for each K\n",
    "\n",
    "    kf = KFold(n_splits=n_splits, shuffle=True, random_state=42)\n",
    "\n",
    "    for K in K_values:\n",
    "        # Loop through each fold defined by KFold\n",
    "        for train_index, test_index in kf.split(X):\n",
    "            # Split data into training and test sets for this fold\n",
    "            X_train, X_test = X[train_index], X[test_index]\n",
    "            Y_train, Y_test = Y[train_index], Y[test_index]\n",
    "\n",
    "            # Initialize and fit PCA\n",
    "            pca = PCA(n_components=K)\n",
    "            pca.fit(X_train)\n",
    "\n",
    "            # Project both training and test data using the PCA model\n",
    "            X_train_pca = pca.transform(X_train)\n",
    "            X_test_pca = pca.transform(X_test)\n",
    "\n",
    "            # Fit the Multi-Output Regression model on the reduced data\n",
    "            multi_output_reg = MultiOutputRegressor(LinearRegression()).fit(\n",
    "                X_train_pca, Y_train\n",
    "            )\n",
    "\n",
    "            # Predict and evaluate using R^2 score\n",
    "            Y_pred = multi_output_reg.predict(X_test_pca)\n",
    "            score = r2_score(Y_test, Y_pred, multioutput=\"uniform_average\")\n",
    "            cv_scores[K].append(score)\n",
    "\n",
    "    return cv_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "\n",
    "def evaluate_pls_with_different_K_cv(X, Y, K_values, n_splits=5):\n",
    "    \"\"\"\n",
    "    Evaluate PLS Regression followed by Multi-Output Regression for different numbers of components (K)\n",
    "    using cross-validation.\n",
    "\n",
    "    Parameters:\n",
    "    - X: Neural activity data (predictors)\n",
    "    - Y: Continuous 2D outcomes\n",
    "    - K_values: A list of integers representing different numbers of PLS components to evaluate\n",
    "    - n_splits: Number of folds in K-Fold cross-validation\n",
    "\n",
    "    Returns:\n",
    "    - A dictionary of R^2 scores for each K-value, each containing a list of scores for each fold\n",
    "    \"\"\"\n",
    "    cv_scores = {\n",
    "        K: [] for K in K_values\n",
    "    }  # Initialize dictionary to store scores for each K\n",
    "\n",
    "    kf = KFold(n_splits=n_splits, shuffle=True, random_state=42)\n",
    "\n",
    "    for K in K_values:\n",
    "        # Loop through each fold defined by KFold\n",
    "        for train_index, test_index in kf.split(X):\n",
    "            # Split data into training and test sets for this fold\n",
    "            X_train, X_test = X[train_index], X[test_index]\n",
    "            Y_train, Y_test = Y[train_index], Y[test_index]\n",
    "\n",
    "            # Initialize and fit PLS Regression\n",
    "            pls = PLSRegression(n_components=K)\n",
    "            pls.fit(X_train, Y_train)\n",
    "\n",
    "            # Project both training and test data using the PLS model\n",
    "            X_train_pls = pls.transform(X_train)\n",
    "            X_test_pls = pls.transform(X_test)\n",
    "\n",
    "            # Fit the Multi-Output Regression model on the reduced data\n",
    "            multi_output_reg = MultiOutputRegressor(LinearRegression()).fit(\n",
    "                X_train_pls, Y_train\n",
    "            )\n",
    "\n",
    "            # Predict and evaluate using R^2 score\n",
    "            Y_pred = multi_output_reg.predict(X_test_pls)\n",
    "            score = r2_score(\n",
    "                Y_test, Y_pred, multioutput=\"uniform_average\"\n",
    "            )  # Average R^2 score across all outputs\n",
    "            cv_scores[K].append(score)\n",
    "\n",
    "    return cv_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "noise level: 7.07%\n"
     ]
    }
   ],
   "source": [
    "import neurometry.datasets.synthetic as synthetic\n",
    "\n",
    "N = 20\n",
    "\n",
    "task_points = synthetic.hypertorus(2, 500)\n",
    "noisy_points, manifold_points = synthetic.synthetic_neural_manifold(\n",
    "    points=task_points,\n",
    "    encoding_dim=N,\n",
    "    nonlinearity=\"sigmoid\",\n",
    "    poisson_multiplier=1,\n",
    "    scales=gs.array(np.random.uniform(1, 3, N)),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "\n",
    "def add_noise_dimensions(data, n_dims):\n",
    "    \"\"\"\n",
    "    Adds a column of random noise to the input data.\n",
    "\n",
    "    Parameters:\n",
    "    - data: A numpy array of shape (num_points, dim), where `num_points` is the number of data points\n",
    "            and `dim` is the dimensionality of each data point.\n",
    "    - noise_scale: The standard deviation of the Gaussian noise to be added. Default is 1.0.\n",
    "\n",
    "    Returns:\n",
    "    - A numpy array of shape (num_points, dim+1), where the last column is filled with random noise.\n",
    "    \"\"\"\n",
    "    num_points, dim = data.shape\n",
    "    noise = np.random.normal(\n",
    "        loc=torch.mean(data), scale=1.5 * torch.std(data), size=(num_points, n_dims)\n",
    "    )\n",
    "    # noise = np.random.uniform(\n",
    "    #     low=torch.min(data), high=torch.max(data), size=(num_points, n_dims)\n",
    "    # )\n",
    "    noisy_data = np.hstack((data, noise))\n",
    "\n",
    "    return noisy_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([500, 20])\n",
      "(500, 40)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = add_noise_dimensions(noisy_points, n_dims=N)\n",
    "Y = task_points\n",
    "\n",
    "print(noisy_points.shape)\n",
    "print(X.shape)\n",
    "\n",
    "plt.imshow(X.T, aspect=\"auto\", interpolation=\"None\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "K_values = [i for i in range(1, N + 1)]\n",
    "\n",
    "pls_r2_scores, pls_transformed_X = evaluate_pls_with_different_K(X, Y, K_values)\n",
    "\n",
    "pca_r2_scores, pca_transformed_X = evaluate_PCA_with_different_K(X, Y, K_values)\n",
    "\n",
    "plt.plot(K_values, pls_r2_scores, marker=\"o\", label=\"PLS $R^2$ Score\")\n",
    "\n",
    "plt.plot(K_values, pca_r2_scores, marker=\"o\", label=\"PCA $R^2$ Score\")\n",
    "\n",
    "# pls_cv_scores = evaluate_pls_with_different_K_cv(X, Y, K_values, n_splits=5)\n",
    "\n",
    "# pca_cv_scores = evaluate_PCA_with_different_K_cv(X, Y, K_values, n_splits=5)\n",
    "\n",
    "\n",
    "# plt.errorbar(\n",
    "#     K_values,\n",
    "#     np.mean(list(pls_cv_scores.values()), axis=1),\n",
    "#     yerr=np.std(list(pls_cv_scores.values()), axis=1),\n",
    "#     fmt=\"-o\",\n",
    "#     label=\"PLS R^2 Score\",\n",
    "# )\n",
    "\n",
    "# plt.errorbar(\n",
    "#     K_values,\n",
    "#     np.mean(list(pca_cv_scores.values()), axis=1),\n",
    "#     yerr=np.std(list(pca_cv_scores.values()), axis=1),\n",
    "#     fmt=\"-o\",\n",
    "#     label=\"PCA R^2 Score\",\n",
    "# )\n",
    "\n",
    "plt.xticks(K_values)\n",
    "plt.xlabel(\"Number of PLS/PCA Components (K)\")\n",
    "plt.ylabel(\"$R^2$ Score of Position Prediction\")\n",
    "plt.title(\"Position Prediction Performance vs. Number of Components\")\n",
    "plt.legend(loc=\"center left\", bbox_to_anchor=(1, 0.9));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gtda.homology import VietorisRipsPersistence\n",
    "from gtda.plotting import plot_diagram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_components = 4\n",
    "\n",
    "X_pls = pls_transformed_X[n_components - 1]\n",
    "\n",
    "X_pca = pca_transformed_X[n_components - 1]\n",
    "\n",
    "\n",
    "vr_pers = VietorisRipsPersistence(homology_dimensions=(0, 1, 2), n_jobs=-1)\n",
    "\n",
    "diagrams = vr_pers.fit_transform([X_pls, X_pca])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
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    "pls_pers_plot.update_layout(title=\"V-R Persist. Diag., PLS-projected data (dim=4)\")"
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   ],
   "source": [
    "pca_pers_plot = plot_diagram(diagrams[1])\n",
    "\n",
    "pca_pers_plot.update_layout(\n",
    "    title=f\"V-R Persist. Diag., PCA-projected data (dim={n_components})\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gtda.diagrams import BettiCurve, Scaler\n",
    "\n",
    "\n",
    "def max_function(x):\n",
    "    return np.max(x)\n",
    "\n",
    "\n",
    "scaler = Scaler(function=max_function)\n",
    "\n",
    "diagrams_scaled = scaler.fit_transform(diagrams)"
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  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "betticurves = BettiCurve(n_bins=50, n_jobs=-1)\n",
    "\n",
    "betti_curves = betticurves.fit_transform(diagrams)"
   ]
  },
  {
   "cell_type": "code",
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "betticurves.plot(betti_curves, sample=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "ename": "QhullError",
     "evalue": "QH6154 Qhull precision error: Initial simplex is flat (facet 1 is coplanar with the interior point)\n\nWhile executing:  | qhull d Qt Q12 Qx Qc Qz Qbb\nOptions selected for Qhull 2019.1.r 2019/06/21:\n  run-id 1336544124  delaunay  Qtriangulate  Q12-allow-wide  Qxact-merge\n  Qcoplanar-keep  Qz-infinity-point  Qbbound-last  _zero-centrum\n  Qinterior-keep  Q3-no-merge-vertices-dim-high  Pgood  _max-width 2.8e+02\n  Error-roundoff 1.4e-11  _one-merge 1.2e-09  Visible-distance 8.6e-11\n  U-max-coplanar 8.6e-11  Width-outside 1.7e-10  _wide-facet 5.2e-10\n  _maxoutside 1.2e-09\n\nprecision problems (corrected unless 'Q0' or an error)\n     42 nearly singular or axis-parallel hyperplanes\n      7 zero divisors during gaussian elimination\n\nThe input to qhull appears to be less than 41 dimensional, or a\ncomputation has overflowed.\n\nQhull could not construct a clearly convex simplex from points:\n- p14(v42): 1.6e+02    68 1e+02    91 1.6e+02 1e+02    40 1.5e+02 1.2e+02 1e+02 1.3e+02    71    85 1.2e+02    40    69    90    64 1.3e+02 1.1e+02 1e+02 1.1e+02    95 1.1e+02    95 1.3e+02    96    85    78    92 1e+02 1e+02 1.1e+02    73 1.2e+02    45    97    68    98    78    23\n- p13(v41): 2e+02    41    64 1.1e+02 1.6e+02 1.1e+02 1.3e+02 1.2e+02 1.5e+02 1.3e+02 2e+02    48    71    51    56    44    45 1.4e+02 1.2e+02    91 1.2e+02 1.2e+02 1e+02    60    91 1.2e+02    84    90    99    74    99    69    72 1.2e+02 1.1e+02    82 1e+02    91 1.1e+02 1e+02    71\n- p12(v40):  -3.9 1.4e+02 1.1e+02    22    40 1.3e+02 1.1e+02    24   1.3    32    77 1.1e+02 1.1e+02 1.7e+02 1.6e+02 1.8e+02 2e+02    47 1.4e+02 1.8e+02    98 1.2e+02    82    67    61 1.3e+02 1e+02    89    81    88    86    68 1e+02 1.1e+02 1e+02    74    85 1e+02 1.3e+02    93    76\n- p11(v39): 1.9e+02    53    66 1.4e+02 1.5e+02 1e+02 1.3e+02 1.3e+02 1.6e+02 1.4e+02 1.8e+02    65    82    37    61    41    32 1.5e+02    95    64 1.2e+02 1.1e+02 1e+02    75 1e+02 1.1e+02    88 1e+02 1.1e+02    83 1e+02    86    78 1.2e+02 1e+02 1e+02    98    98 1.1e+02 1e+02    80\n- p10(v38): 1.9e+02    54 1.2e+02 1.1e+02 1.8e+02    70   3.5 1.9e+02 1.7e+02 1.2e+02 1.2e+02    78    81 1e+02    19    42    50    65 1.2e+02    70    89    87 1.2e+02 1.8e+02 1.5e+02    74    93 1.1e+02 1.3e+02 1.3e+02    80 1.6e+02 1.1e+02    52 1.3e+02 1.1e+02 1.2e+02    77    79    76 1.2e+02\n- p9(v37):    64    98    82    68    65 1.2e+02 1.8e+02    22    77    73 1.5e+02    89    86    72 1.6e+02 1.3e+02 1.1e+02 1.4e+02 1.1e+02 1.3e+02 1.1e+02 1.1e+02 1.1e+02    71 1e+02    66    84 1.1e+02 1.6e+02 1e+02    59    72    54 1.5e+02 1.1e+02 1.8e+02 1.1e+02 1.4e+02 1.3e+02 1.2e+02 1.1e+02\n- p8(v36): 1e+02    79    97    54 1.1e+02 1.2e+02 1.2e+02    67    90    68 1.5e+02    74    77    99 1.2e+02 1.1e+02 1.1e+02    96 1.4e+02 1.4e+02 1e+02 1.2e+02 1.1e+02    95 1e+02    81    85 1e+02 1.4e+02 1.1e+02    62    86    68 1.1e+02 1.2e+02 1.4e+02 1.1e+02 1.2e+02 1.2e+02 1e+02    55\n- p7(v35):    32 1.3e+02 1.2e+02    33    68 1.3e+02    73    60    18    45    81 1e+02 1e+02 1.8e+02 1.2e+02 1.6e+02 1.9e+02    32 1.4e+02 1.8e+02    99 1.2e+02    76    69    56 1.5e+02 1e+02    80    57    80 1e+02    71 1.2e+02    92 1e+02    34    80    83 1.2e+02    82    39\n- p6(v34):    26 1.3e+02    86    44    46 1.4e+02 1.5e+02    16    13    54 1.2e+02    95 1e+02 1.4e+02 1.6e+02 1.6e+02 1.8e+02    86 1.3e+02 1.7e+02 1.1e+02 1.3e+02    76    20    42 1.5e+02    98    83    63    61 1e+02    36    93 1.3e+02    90    56    76 1e+02 1.4e+02 1e+02    59\n- p4(v33): 1.2e+02    69    83    45 1.2e+02 1.4e+02 1.1e+02    69    74    68 1.8e+02    55    72 1.1e+02    98 1.1e+02 1.2e+02    83 1.5e+02 1.6e+02 1.1e+02 1.3e+02    96    49    67 1.3e+02    86    77    92    75    85    52    75 1.1e+02 1.2e+02    69    99    93 1.2e+02    99    32\n- p3(v32): 1.4e+02    76    68 1.1e+02 1.1e+02 1.2e+02 1.5e+02    86 1.2e+02 1.2e+02 1.6e+02    75    88    59    98    77    71 1.5e+02 1e+02    94 1.2e+02 1.1e+02    97    54    87 1.2e+02    89 1e+02 1e+02    76 1e+02    68    77 1.3e+02    98    98    92 1.1e+02 1.2e+02 1.1e+02    42\n- p2(v31): 2.1e+02    53    77 1.3e+02 1.8e+02 1e+02    56 1.8e+02 1.4e+02 1.4e+02 1.6e+02    57    88    95   4.3    34    60    91 1.2e+02    84 1.2e+02 1.1e+02    78    62    70 1.8e+02 1e+02    72    26    55 1.4e+02    79 1.2e+02    79    98   -22    76    44 1e+02    75    60\n- p0(v30):   9.4 1.4e+02 1.3e+02    18    60 1.2e+02    62    53    14    30    63 1.1e+02 1e+02 1.9e+02 1.4e+02 1.7e+02 2e+02    20 1.4e+02 1.8e+02    89 1.1e+02    87 1e+02    75 1.2e+02 1e+02    89    87 1e+02    81    91 1.1e+02    86 1.1e+02    73    92    95 1.2e+02    83    69\n- p20(v29):    19 1.5e+02    91 1.2e+02    24 1e+02 1.7e+02    40    62 1e+02    53 1.4e+02 1.3e+02    91 1.7e+02 1.4e+02 1.3e+02 1.4e+02    59    94 1.1e+02    94    86    72    91    96 1e+02 1.2e+02 1e+02    92 1e+02    89 1e+02 1.4e+02    75 1.3e+02    78 1.3e+02 1.2e+02 1.1e+02    75\n- p1(v28):     3 1.5e+02 1.1e+02    30    44 1.4e+02    91    39  -6.7    40    68 1.1e+02 1.1e+02 1.9e+02 1.4e+02 1.8e+02 2.1e+02    34 1.3e+02 1.9e+02 1e+02 1.2e+02    67    48    40 1.6e+02 1.1e+02    77    40    69 1.1e+02    57 1.2e+02 1e+02    90    18    70    84 1.3e+02    84    67\n- p35(v27): 1.3e+02    75 1.1e+02    48 1.4e+02 1.1e+02    31 1.2e+02    86    68 1.4e+02    69    80 1.5e+02    60    99 1.3e+02    34 1.6e+02 1.5e+02    98 1.2e+02    95 1e+02    84 1.3e+02    95    77    81    94    90    93 1.1e+02    70 1.2e+02    44 1e+02    70 1e+02    77    23\n- p25(v26):    49 1e+02 1e+02    46    68 1.2e+02 1.4e+02    30    65    55 1.3e+02    94    86 1e+02 1.6e+02 1.4e+02 1.3e+02 1e+02 1.2e+02 1.4e+02 1e+02 1.1e+02 1.1e+02    94 1.1e+02    63    86 1.1e+02 1.6e+02 1.2e+02    53    86    64 1.3e+02 1.2e+02 1.7e+02 1.1e+02 1.4e+02 1.2e+02 1.1e+02    93\n- p98(v25): 1.9e+02    61    61 1.7e+02 1.4e+02    93 1.5e+02 1.3e+02 1.7e+02 1.6e+02 1.6e+02    76    92    19    64    33    16 1.8e+02    70    38 1.3e+02    97 1e+02    73 1.1e+02 1.1e+02    91 1.1e+02 1e+02    81 1.1e+02    91    83 1.3e+02    93 1e+02    92 1e+02 1.1e+02 1.1e+02 1e+02\n- p52(v24): 2e+02    47    45 1.6e+02 1.4e+02 1.1e+02 1.9e+02 1e+02 1.7e+02 1.6e+02 2e+02    60    79  -5.3    82    32   6.8 2e+02    79    48 1.3e+02 1.1e+02 1.1e+02    51 1.1e+02    97    82 1.1e+02 1.2e+02    76    99    70    57 1.5e+02    98 1.3e+02    99 1.2e+02 1.1e+02 1.2e+02 1.5e+02\n- p84(v23): 1.8e+02 1.1e+02    62 2.3e+02 1.2e+02    77 1.2e+02 1.8e+02 1.6e+02 2.1e+02    72 1.2e+02 1.3e+02    48    33    31    29 1.7e+02    21   2.4 1.3e+02    83    59    51    75 1.8e+02 1.2e+02 1e+02   0.5    44 1.9e+02    95 1.5e+02 1.1e+02    49   -15    45    59    98    84 1.2e+02\n- p43(v22): 1.7e+02 1e+02 1.1e+02 2.1e+02 1.3e+02    48    56 2e+02 1.8e+02 1.8e+02    32 1.3e+02 1.3e+02    67    30    36    26 1.3e+02    30  -4.4 1e+02    62    89 1.5e+02 1.4e+02 1e+02 1.1e+02 1.3e+02    76 1.1e+02 1.4e+02 1.6e+02 1.4e+02    73    80    71    79    75    77    77 1.3e+02\n- p18(v21): 1.5e+02 1.1e+02 1e+02 2.1e+02 1.2e+02    51    85 1.8e+02 1.8e+02 1.8e+02    42 1.3e+02 1.3e+02    51    53    42    22 1.5e+02    27  -4.2 1e+02    62    97 1.5e+02 1.4e+02    83 1.1e+02 1.3e+02 1e+02 1.2e+02 1.2e+02 1.6e+02 1.3e+02    88    83 1.1e+02    86    93    82    87 1.3e+02\n- p16(v20): 1.3e+02    76    46 1.2e+02    89 1.3e+02 2.2e+02    46 1.1e+02 1.2e+02 1.9e+02    70    86    29 1.3e+02    83    65 1.9e+02    92    94 1.3e+02 1.2e+02    97    16    76 1.2e+02    84 1e+02 1.1e+02    62    99    40    57 1.6e+02    90 1.2e+02    89 1.3e+02 1.3e+02 1.2e+02 1e+02\n- p5(v19): 1.3e+02 1.2e+02    87 2e+02    93    70 1.1e+02 1.6e+02 1.4e+02 1.8e+02    38 1.3e+02 1.4e+02    68    67    63    54 1.5e+02    26    17 1.2e+02    75    74    95 1e+02 1.4e+02 1.2e+02 1.2e+02    47    79 1.5e+02 1.2e+02 1.4e+02 1e+02    62    47    62    81    95    86    72\n- p44(v18):    85 1.3e+02    94 1.6e+02    71    82 1.3e+02 1e+02 1.2e+02 1.4e+02    56 1.3e+02 1.2e+02    72 1.1e+02    95    77 1.4e+02    48    52 1.1e+02    81    92 1.1e+02 1.1e+02    92 1.1e+02 1.3e+02 1e+02 1e+02 1.1e+02 1.2e+02 1.1e+02 1.2e+02    80 1.2e+02    83 1.1e+02 1e+02 1e+02    57\n- p51(v17): 1.5e+02    60    89    74 1.4e+02 1.1e+02    96 1e+02 1.1e+02    90 1.7e+02    61    73    92    79    80    87    96 1.4e+02 1.2e+02 1.1e+02 1.2e+02 1.1e+02    87    97 1e+02    86    92 1.2e+02    95    79    84    76 1e+02 1.2e+02 1e+02 1.1e+02    97 1.1e+02    98    38\n- p47(v16):    30 1.6e+02 1.1e+02 1.4e+02    41    87 1e+02    99    65 1.1e+02  -1.9 1.5e+02 1.4e+02 1.3e+02 1.2e+02 1.3e+02 1.4e+02    94    52    81 1e+02    83    69    96    85 1.3e+02 1.2e+02 1.1e+02    50    88 1.3e+02 1.1e+02 1.5e+02    98    66    52    62    90 1.1e+02    84    43\n- p92(v15): 1.9e+02    56    78 1.6e+02 1.5e+02    78 1.3e+02 1.4e+02 1.9e+02 1.6e+02 1.5e+02    82    86    13    66    30   2.5 1.7e+02    70    27 1.1e+02    86 1.2e+02 1.2e+02 1.4e+02    58    86 1.3e+02 1.5e+02 1.2e+02    85 1.3e+02    73 1.2e+02 1.1e+02 1.7e+02 1.1e+02 1.2e+02    95 1.1e+02 1.6e+02\n- p54(v14): 1.6e+02    98    99 1.9e+02 1.3e+02    64    64 1.9e+02 1.6e+02 1.7e+02    59 1.2e+02 1.2e+02    76    35    44    42 1.2e+02    50    22 1.1e+02    75    86 1.3e+02 1.2e+02 1.2e+02 1.1e+02 1.2e+02    67    96 1.4e+02 1.4e+02 1.4e+02    79    83    56    79    72    85    79    79\n- p55(v13): 1.5e+02    49 1.2e+02    24 1.6e+02 1.1e+02    37 1.1e+02 1.1e+02    52 1.7e+02    51    58 1.3e+02    69    91 1.1e+02    41 1.8e+02 1.6e+02    92 1.2e+02 1.2e+02 1.3e+02 1.1e+02    82    81    86 1.4e+02 1.2e+02    50 1.1e+02    73    75 1.5e+02 1.2e+02 1.3e+02    93 1e+02    88    85\n- p73(v12): 2.1e+02    46    66 1.7e+02 1.6e+02    85 1.3e+02 1.5e+02 1.9e+02 1.7e+02 1.7e+02    70    84    10    49    18  -2.6 1.8e+02    74    29 1.2e+02    93 1.1e+02    97 1.3e+02    88    87 1.2e+02 1.2e+02    95 1e+02 1.1e+02    77 1.2e+02 1e+02 1.3e+02 1e+02 1e+02    99 1.1e+02 1.5e+02\n- p48(v11): 1.3e+02    58 1.1e+02   2.8 1.6e+02 1.3e+02    25 1e+02    67    38 1.8e+02    45    62 1.7e+02    63 1.1e+02 1.5e+02    11 1.9e+02 1.9e+02    97 1.4e+02 1e+02    88    72 1.4e+02    87    62    88    91    74    73    90    70 1.4e+02    41 1.1e+02    69 1.1e+02    79    63\n- p100(v10): 1.1e+02    99    97 1.1e+02 1e+02 1e+02 1e+02 1e+02 1e+02 1.1e+02 1e+02    98 1e+02    97    96    96    95 1.1e+02    97    96 1.1e+02 1e+02    96    97 1e+02 1.1e+02    98 1.1e+02 1e+02    97    98 1e+02 1e+02 1e+02 1e+02    96    93    99 1.1e+02    95 2.4e+02\n- p60(v9): 2e+02    59    84 1.1e+02 1.7e+02 1.1e+02    45 1.7e+02 1.2e+02 1.2e+02 1.5e+02    58    87 1.2e+02    13    50    82    71 1.3e+02 1.1e+02 1.2e+02 1.2e+02    77    63    64 1.8e+02 1e+02    68    25    57 1.4e+02    76 1.2e+02    75 1e+02   -26    77    43 1e+02    73    41\n- p74(v8):  0.33 1.6e+02 1.2e+02    79    35 1e+02    91    64    30    70    17 1.4e+02 1.3e+02 1.6e+02 1.4e+02 1.6e+02 1.7e+02    61    90 1.3e+02    95    97    76    97    80 1.2e+02 1.1e+02 1.1e+02    70    97 1.1e+02 1e+02 1.3e+02    97    84    70    74    98 1.1e+02    86    51\n- p96(v7):   5.7 1.5e+02 1.4e+02    63    49    98    63    75    39    58    17 1.4e+02 1.2e+02 1.7e+02 1.4e+02 1.6e+02 1.7e+02    42 1e+02 1.4e+02    85    94    87 1.3e+02    98    98 1.1e+02 1.1e+02    95 1.2e+02    89 1.2e+02 1.3e+02    84    99    95    89 1e+02 1.1e+02    82    64\n- p81(v6): 2.2e+02    53    46 1.8e+02 1.6e+02 1e+02 1.4e+02 1.5e+02 1.7e+02 1.8e+02 1.8e+02    62    93    29    30    17    17 1.7e+02    76    42 1.4e+02 1.1e+02    81    33    75 1.7e+02    96    90    42    45 1.5e+02    65 1e+02 1.2e+02    81    20    71    70 1.1e+02    97 1.1e+02\n- p86(v5):    30 1.5e+02 1.1e+02 1.5e+02    34    69 1.6e+02    70 1.1e+02 1.2e+02    19 1.6e+02 1.3e+02    62 1.6e+02 1.2e+02    82 1.6e+02    32    44    94    65 1.1e+02 1.5e+02 1.5e+02    21 1e+02 1.6e+02 1.7e+02 1.4e+02    74 1.5e+02    94 1.3e+02    89 2.2e+02 1e+02 1.5e+02 1e+02 1.1e+02 1.8e+02\n- p19(v4):    46 1.2e+02    57    87    37 1.5e+02 2.2e+02   6.4    36    89 1.4e+02    94 1.1e+02    87 1.7e+02 1.4e+02 1.4e+02 1.5e+02    98 1.4e+02 1.3e+02 1.3e+02    75   -11    40 1.5e+02    95    93    64    45 1.1e+02    19    80 1.6e+02    75    71    68 1.2e+02 1.4e+02 1.2e+02    83\n- p94(v3): 1.5e+02    45    87    25 1.5e+02 1.4e+02    84    84    85    58 2.1e+02    35    56 1.2e+02    76    93 1.2e+02    64 1.8e+02 1.7e+02 1.1e+02 1.4e+02 1e+02    60    72 1.3e+02    80    69 1e+02    80    73    54    68 1e+02 1.3e+02    69 1.1e+02    86 1.2e+02    95    59\n- p46(v2): 2.4e+02    48    72 1.8e+02 1.9e+02    85    65 2e+02 1.9e+02 1.8e+02 1.5e+02    65    93    58  -9.6     5    17 1.3e+02    85    37 1.2e+02    99    84    81    92 1.6e+02 1e+02    88    39    64 1.5e+02 1e+02 1.2e+02    81    92   2.2    78    50    91    78 1.1e+02\n- p79(v1):   -34 1.7e+02 1.2e+02    51     9 1.2e+02 1.3e+02    17   1.5    47    32 1.4e+02 1.2e+02 1.6e+02 1.8e+02 1.9e+02 2e+02    68 1e+02 1.6e+02    97 1.1e+02    79    76    71 1.1e+02 1.1e+02 1.1e+02    86    95    93    83 1.1e+02 1.2e+02    86    95    78 1.2e+02 1.3e+02    97    99\n\nThe center point is coplanar with a facet, or a vertex is coplanar\nwith a neighboring facet.  The maximum round off error for\ncomputing distances is 1.4e-11.  The center point, facets and distances\nto the center point are as follows:\n\ncenter point    115.5    93.65    91.29    106.3    107.1    104.5    107.2    103.4    104.2    107.5    116.2    91.82     98.3    95.25    90.88    91.65    94.38    107.4      101    99.07    109.6    104.7    92.77    84.38    92.46      117    97.12    100.6    90.38    88.37    102.9    91.85    99.54      106    99.45     82.5     90.1    94.75    109.3    94.69    86.16\n\nfacet p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.8e-14\nfacet p14 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.6e-14\nfacet p14 p13 p12 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.8e-14\nfacet p14 p13 p12 p11 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.1e-14\nfacet p14 p13 p12 p11 p10 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6.6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.2e-16\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.3e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -8.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.1e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.1e-13\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p81 p86 p19 p94 p46 p79 distance= -1.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p86 p19 p94 p46 p79 distance= -7.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p19 p94 p46 p79 distance= -3.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p94 p46 p79 distance= -2.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p46 p79 distance= -1e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p79 distance= -3.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 distance= -1.4e-14\n\nThese points either have a maximum or minimum x-coordinate, or\nthey maximize the determinant for k coordinates.  Trial points\nare first selected from points that maximize a coordinate.\n\nBecause of the high dimension, the min x-coordinate and max-coordinate\npoints are used if the determinant is non-zero.  Option 'Qs' will\ndo a better, though much slower, job.  Instead of 'Qs', you can change\nthe points by randomly rotating the input with 'QR0'.\n\nThe min and max coordinates for each dimension are:\n  0:    -34.17     242.8  difference= 276.9\n  1:     41.16     170.2  difference=  129\n  2:     44.87     144.1  difference= 99.26\n  3:    -8.179       233  difference= 241.1\n  4:     8.965     188.5  difference= 179.5\n  5:     47.84     145.2  difference= 97.33\n  6:    -2.737     218.1  difference= 220.9\n  7:    -12.18     204.8  difference=  217\n  8:    -6.742     198.8  difference= 205.6\n  9:     7.474     206.9  difference= 199.4\n  10:    -19.73     213.7  difference= 233.4\n  11:      34.9     158.6  difference= 123.7\n  12:     56.27     147.8  difference= 91.56\n  13:     -5.28     206.4  difference= 211.7\n  14:    -9.578     192.3  difference= 201.9\n  15:     4.992     190.1  difference= 185.2\n  16:    -4.608     209.4  difference=  214\n  17:     2.683     204.3  difference= 201.6\n  18:        21     194.6  difference= 173.6\n  19:    -4.403     199.5  difference= 203.9\n  20:     80.48     136.5  difference= 56.07\n  21:     62.07     138.9  difference= 76.82\n  22:     59.19     129.1  difference= 69.96\n  23:    -10.94     185.3  difference= 196.2\n  24:     40.24     152.6  difference= 112.3\n  25:     21.15     183.6  difference= 162.5\n  26:     78.41     120.4  difference= 41.96\n  27:     62.19     156.4  difference= 94.22\n  28:    0.4971     179.8  difference= 179.3\n  29:      43.8     143.4  difference= 99.65\n  30:     36.92     185.1  difference= 148.2\n  31:     19.33     178.3  difference=  159\n  32:     44.23     156.2  difference=  112\n  33:     51.54     163.7  difference= 112.1\n  34:     48.53       150  difference= 101.5\n  35:       -26     220.3  difference= 246.3\n  36:     44.64     133.6  difference= 88.94\n  37:     43.41     154.3  difference= 110.8\n  38:     75.61     142.4  difference= 66.82\n  39:     64.55     127.9  difference= 63.31\n  40:         0     242.8  difference= 242.8\n\nIf the input should be full dimensional, you have several options that\nmay determine an initial simplex:\n  - use 'QJ'  to joggle the input and make it full dimensional\n  - use 'QbB' to scale the points to the unit cube\n  - use 'QR0' to randomly rotate the input for different maximum points\n  - use 'Qs'  to search all points for the initial simplex\n  - use 'En'  to specify a maximum roundoff error less than 1.4e-11.\n  - trace execution with 'T3' to see the determinant for each point.\n\nIf the input is lower dimensional:\n  - use 'QJ' to joggle the input and make it full dimensional\n  - use 'Qbk:0Bk:0' to delete coordinate k from the input.  You should\n    pick the coordinate with the least range.  The hull will have the\n    correct topology.\n  - determine the flat containing the points, rotate the points\n    into a coordinate plane, and delete the other coordinates.\n  - add one or more points to make the input full dimensional.\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31m_RemoteTraceback\u001b[0m                          Traceback (most recent call last)",
      "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n  File \"/home/facosta/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py\", line 463, in _process_worker\n    r = call_item()\n  File \"/home/facosta/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py\", line 291, in __call__\n    return self.fn(*self.args, **self.kwargs)\n  File \"/home/facosta/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py\", line 589, in __call__\n    return [func(*args, **kwargs)\n  File \"/home/facosta/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py\", line 589, in <listcomp>\n    return [func(*args, **kwargs)\n  File \"/home/facosta/miniconda3/envs/neurometry/lib/python3.9/site-packages/gtda/homology/simplicial.py\", line 1110, in _weak_alpha_diagram\n    indptr, indices = Delaunay(X).vertex_neighbor_vertices\n  File \"_qhull.pyx\", line 1827, in scipy.spatial._qhull.Delaunay.__init__\n  File \"_qhull.pyx\", line 353, in scipy.spatial._qhull._Qhull.__init__\nscipy.spatial._qhull.QhullError: QH6154 Qhull precision error: Initial simplex is flat (facet 1 is coplanar with the interior point)\n\nWhile executing:  | qhull d Qt Q12 Qx Qc Qz Qbb\nOptions selected for Qhull 2019.1.r 2019/06/21:\n  run-id 1336544124  delaunay  Qtriangulate  Q12-allow-wide  Qxact-merge\n  Qcoplanar-keep  Qz-infinity-point  Qbbound-last  _zero-centrum\n  Qinterior-keep  Q3-no-merge-vertices-dim-high  Pgood  _max-width 2.8e+02\n  Error-roundoff 1.4e-11  _one-merge 1.2e-09  Visible-distance 8.6e-11\n  U-max-coplanar 8.6e-11  Width-outside 1.7e-10  _wide-facet 5.2e-10\n  _maxoutside 1.2e-09\n\nprecision problems (corrected unless 'Q0' or an error)\n     42 nearly singular or axis-parallel hyperplanes\n      7 zero divisors during gaussian elimination\n\nThe input to qhull appears to be less than 41 dimensional, or a\ncomputation has overflowed.\n\nQhull could not construct a clearly convex simplex from points:\n- p14(v42): 1.6e+02    68 1e+02    91 1.6e+02 1e+02    40 1.5e+02 1.2e+02 1e+02 1.3e+02    71    85 1.2e+02    40    69    90    64 1.3e+02 1.1e+02 1e+02 1.1e+02    95 1.1e+02    95 1.3e+02    96    85    78    92 1e+02 1e+02 1.1e+02    73 1.2e+02    45    97    68    98    78    23\n- p13(v41): 2e+02    41    64 1.1e+02 1.6e+02 1.1e+02 1.3e+02 1.2e+02 1.5e+02 1.3e+02 2e+02    48    71    51    56    44    45 1.4e+02 1.2e+02    91 1.2e+02 1.2e+02 1e+02    60    91 1.2e+02    84    90    99    74    99    69    72 1.2e+02 1.1e+02    82 1e+02    91 1.1e+02 1e+02    71\n- p12(v40):  -3.9 1.4e+02 1.1e+02    22    40 1.3e+02 1.1e+02    24   1.3    32    77 1.1e+02 1.1e+02 1.7e+02 1.6e+02 1.8e+02 2e+02    47 1.4e+02 1.8e+02    98 1.2e+02    82    67    61 1.3e+02 1e+02    89    81    88    86    68 1e+02 1.1e+02 1e+02    74    85 1e+02 1.3e+02    93    76\n- p11(v39): 1.9e+02    53    66 1.4e+02 1.5e+02 1e+02 1.3e+02 1.3e+02 1.6e+02 1.4e+02 1.8e+02    65    82    37    61    41    32 1.5e+02    95    64 1.2e+02 1.1e+02 1e+02    75 1e+02 1.1e+02    88 1e+02 1.1e+02    83 1e+02    86    78 1.2e+02 1e+02 1e+02    98    98 1.1e+02 1e+02    80\n- p10(v38): 1.9e+02    54 1.2e+02 1.1e+02 1.8e+02    70   3.5 1.9e+02 1.7e+02 1.2e+02 1.2e+02    78    81 1e+02    19    42    50    65 1.2e+02    70    89    87 1.2e+02 1.8e+02 1.5e+02    74    93 1.1e+02 1.3e+02 1.3e+02    80 1.6e+02 1.1e+02    52 1.3e+02 1.1e+02 1.2e+02    77    79    76 1.2e+02\n- p9(v37):    64    98    82    68    65 1.2e+02 1.8e+02    22    77    73 1.5e+02    89    86    72 1.6e+02 1.3e+02 1.1e+02 1.4e+02 1.1e+02 1.3e+02 1.1e+02 1.1e+02 1.1e+02    71 1e+02    66    84 1.1e+02 1.6e+02 1e+02    59    72    54 1.5e+02 1.1e+02 1.8e+02 1.1e+02 1.4e+02 1.3e+02 1.2e+02 1.1e+02\n- p8(v36): 1e+02    79    97    54 1.1e+02 1.2e+02 1.2e+02    67    90    68 1.5e+02    74    77    99 1.2e+02 1.1e+02 1.1e+02    96 1.4e+02 1.4e+02 1e+02 1.2e+02 1.1e+02    95 1e+02    81    85 1e+02 1.4e+02 1.1e+02    62    86    68 1.1e+02 1.2e+02 1.4e+02 1.1e+02 1.2e+02 1.2e+02 1e+02    55\n- p7(v35):    32 1.3e+02 1.2e+02    33    68 1.3e+02    73    60    18    45    81 1e+02 1e+02 1.8e+02 1.2e+02 1.6e+02 1.9e+02    32 1.4e+02 1.8e+02    99 1.2e+02    76    69    56 1.5e+02 1e+02    80    57    80 1e+02    71 1.2e+02    92 1e+02    34    80    83 1.2e+02    82    39\n- p6(v34):    26 1.3e+02    86    44    46 1.4e+02 1.5e+02    16    13    54 1.2e+02    95 1e+02 1.4e+02 1.6e+02 1.6e+02 1.8e+02    86 1.3e+02 1.7e+02 1.1e+02 1.3e+02    76    20    42 1.5e+02    98    83    63    61 1e+02    36    93 1.3e+02    90    56    76 1e+02 1.4e+02 1e+02    59\n- p4(v33): 1.2e+02    69    83    45 1.2e+02 1.4e+02 1.1e+02    69    74    68 1.8e+02    55    72 1.1e+02    98 1.1e+02 1.2e+02    83 1.5e+02 1.6e+02 1.1e+02 1.3e+02    96    49    67 1.3e+02    86    77    92    75    85    52    75 1.1e+02 1.2e+02    69    99    93 1.2e+02    99    32\n- p3(v32): 1.4e+02    76    68 1.1e+02 1.1e+02 1.2e+02 1.5e+02    86 1.2e+02 1.2e+02 1.6e+02    75    88    59    98    77    71 1.5e+02 1e+02    94 1.2e+02 1.1e+02    97    54    87 1.2e+02    89 1e+02 1e+02    76 1e+02    68    77 1.3e+02    98    98    92 1.1e+02 1.2e+02 1.1e+02    42\n- p2(v31): 2.1e+02    53    77 1.3e+02 1.8e+02 1e+02    56 1.8e+02 1.4e+02 1.4e+02 1.6e+02    57    88    95   4.3    34    60    91 1.2e+02    84 1.2e+02 1.1e+02    78    62    70 1.8e+02 1e+02    72    26    55 1.4e+02    79 1.2e+02    79    98   -22    76    44 1e+02    75    60\n- p0(v30):   9.4 1.4e+02 1.3e+02    18    60 1.2e+02    62    53    14    30    63 1.1e+02 1e+02 1.9e+02 1.4e+02 1.7e+02 2e+02    20 1.4e+02 1.8e+02    89 1.1e+02    87 1e+02    75 1.2e+02 1e+02    89    87 1e+02    81    91 1.1e+02    86 1.1e+02    73    92    95 1.2e+02    83    69\n- p20(v29):    19 1.5e+02    91 1.2e+02    24 1e+02 1.7e+02    40    62 1e+02    53 1.4e+02 1.3e+02    91 1.7e+02 1.4e+02 1.3e+02 1.4e+02    59    94 1.1e+02    94    86    72    91    96 1e+02 1.2e+02 1e+02    92 1e+02    89 1e+02 1.4e+02    75 1.3e+02    78 1.3e+02 1.2e+02 1.1e+02    75\n- p1(v28):     3 1.5e+02 1.1e+02    30    44 1.4e+02    91    39  -6.7    40    68 1.1e+02 1.1e+02 1.9e+02 1.4e+02 1.8e+02 2.1e+02    34 1.3e+02 1.9e+02 1e+02 1.2e+02    67    48    40 1.6e+02 1.1e+02    77    40    69 1.1e+02    57 1.2e+02 1e+02    90    18    70    84 1.3e+02    84    67\n- p35(v27): 1.3e+02    75 1.1e+02    48 1.4e+02 1.1e+02    31 1.2e+02    86    68 1.4e+02    69    80 1.5e+02    60    99 1.3e+02    34 1.6e+02 1.5e+02    98 1.2e+02    95 1e+02    84 1.3e+02    95    77    81    94    90    93 1.1e+02    70 1.2e+02    44 1e+02    70 1e+02    77    23\n- p25(v26):    49 1e+02 1e+02    46    68 1.2e+02 1.4e+02    30    65    55 1.3e+02    94    86 1e+02 1.6e+02 1.4e+02 1.3e+02 1e+02 1.2e+02 1.4e+02 1e+02 1.1e+02 1.1e+02    94 1.1e+02    63    86 1.1e+02 1.6e+02 1.2e+02    53    86    64 1.3e+02 1.2e+02 1.7e+02 1.1e+02 1.4e+02 1.2e+02 1.1e+02    93\n- p98(v25): 1.9e+02    61    61 1.7e+02 1.4e+02    93 1.5e+02 1.3e+02 1.7e+02 1.6e+02 1.6e+02    76    92    19    64    33    16 1.8e+02    70    38 1.3e+02    97 1e+02    73 1.1e+02 1.1e+02    91 1.1e+02 1e+02    81 1.1e+02    91    83 1.3e+02    93 1e+02    92 1e+02 1.1e+02 1.1e+02 1e+02\n- p52(v24): 2e+02    47    45 1.6e+02 1.4e+02 1.1e+02 1.9e+02 1e+02 1.7e+02 1.6e+02 2e+02    60    79  -5.3    82    32   6.8 2e+02    79    48 1.3e+02 1.1e+02 1.1e+02    51 1.1e+02    97    82 1.1e+02 1.2e+02    76    99    70    57 1.5e+02    98 1.3e+02    99 1.2e+02 1.1e+02 1.2e+02 1.5e+02\n- p84(v23): 1.8e+02 1.1e+02    62 2.3e+02 1.2e+02    77 1.2e+02 1.8e+02 1.6e+02 2.1e+02    72 1.2e+02 1.3e+02    48    33    31    29 1.7e+02    21   2.4 1.3e+02    83    59    51    75 1.8e+02 1.2e+02 1e+02   0.5    44 1.9e+02    95 1.5e+02 1.1e+02    49   -15    45    59    98    84 1.2e+02\n- p43(v22): 1.7e+02 1e+02 1.1e+02 2.1e+02 1.3e+02    48    56 2e+02 1.8e+02 1.8e+02    32 1.3e+02 1.3e+02    67    30    36    26 1.3e+02    30  -4.4 1e+02    62    89 1.5e+02 1.4e+02 1e+02 1.1e+02 1.3e+02    76 1.1e+02 1.4e+02 1.6e+02 1.4e+02    73    80    71    79    75    77    77 1.3e+02\n- p18(v21): 1.5e+02 1.1e+02 1e+02 2.1e+02 1.2e+02    51    85 1.8e+02 1.8e+02 1.8e+02    42 1.3e+02 1.3e+02    51    53    42    22 1.5e+02    27  -4.2 1e+02    62    97 1.5e+02 1.4e+02    83 1.1e+02 1.3e+02 1e+02 1.2e+02 1.2e+02 1.6e+02 1.3e+02    88    83 1.1e+02    86    93    82    87 1.3e+02\n- p16(v20): 1.3e+02    76    46 1.2e+02    89 1.3e+02 2.2e+02    46 1.1e+02 1.2e+02 1.9e+02    70    86    29 1.3e+02    83    65 1.9e+02    92    94 1.3e+02 1.2e+02    97    16    76 1.2e+02    84 1e+02 1.1e+02    62    99    40    57 1.6e+02    90 1.2e+02    89 1.3e+02 1.3e+02 1.2e+02 1e+02\n- p5(v19): 1.3e+02 1.2e+02    87 2e+02    93    70 1.1e+02 1.6e+02 1.4e+02 1.8e+02    38 1.3e+02 1.4e+02    68    67    63    54 1.5e+02    26    17 1.2e+02    75    74    95 1e+02 1.4e+02 1.2e+02 1.2e+02    47    79 1.5e+02 1.2e+02 1.4e+02 1e+02    62    47    62    81    95    86    72\n- p44(v18):    85 1.3e+02    94 1.6e+02    71    82 1.3e+02 1e+02 1.2e+02 1.4e+02    56 1.3e+02 1.2e+02    72 1.1e+02    95    77 1.4e+02    48    52 1.1e+02    81    92 1.1e+02 1.1e+02    92 1.1e+02 1.3e+02 1e+02 1e+02 1.1e+02 1.2e+02 1.1e+02 1.2e+02    80 1.2e+02    83 1.1e+02 1e+02 1e+02    57\n- p51(v17): 1.5e+02    60    89    74 1.4e+02 1.1e+02    96 1e+02 1.1e+02    90 1.7e+02    61    73    92    79    80    87    96 1.4e+02 1.2e+02 1.1e+02 1.2e+02 1.1e+02    87    97 1e+02    86    92 1.2e+02    95    79    84    76 1e+02 1.2e+02 1e+02 1.1e+02    97 1.1e+02    98    38\n- p47(v16):    30 1.6e+02 1.1e+02 1.4e+02    41    87 1e+02    99    65 1.1e+02  -1.9 1.5e+02 1.4e+02 1.3e+02 1.2e+02 1.3e+02 1.4e+02    94    52    81 1e+02    83    69    96    85 1.3e+02 1.2e+02 1.1e+02    50    88 1.3e+02 1.1e+02 1.5e+02    98    66    52    62    90 1.1e+02    84    43\n- p92(v15): 1.9e+02    56    78 1.6e+02 1.5e+02    78 1.3e+02 1.4e+02 1.9e+02 1.6e+02 1.5e+02    82    86    13    66    30   2.5 1.7e+02    70    27 1.1e+02    86 1.2e+02 1.2e+02 1.4e+02    58    86 1.3e+02 1.5e+02 1.2e+02    85 1.3e+02    73 1.2e+02 1.1e+02 1.7e+02 1.1e+02 1.2e+02    95 1.1e+02 1.6e+02\n- p54(v14): 1.6e+02    98    99 1.9e+02 1.3e+02    64    64 1.9e+02 1.6e+02 1.7e+02    59 1.2e+02 1.2e+02    76    35    44    42 1.2e+02    50    22 1.1e+02    75    86 1.3e+02 1.2e+02 1.2e+02 1.1e+02 1.2e+02    67    96 1.4e+02 1.4e+02 1.4e+02    79    83    56    79    72    85    79    79\n- p55(v13): 1.5e+02    49 1.2e+02    24 1.6e+02 1.1e+02    37 1.1e+02 1.1e+02    52 1.7e+02    51    58 1.3e+02    69    91 1.1e+02    41 1.8e+02 1.6e+02    92 1.2e+02 1.2e+02 1.3e+02 1.1e+02    82    81    86 1.4e+02 1.2e+02    50 1.1e+02    73    75 1.5e+02 1.2e+02 1.3e+02    93 1e+02    88    85\n- p73(v12): 2.1e+02    46    66 1.7e+02 1.6e+02    85 1.3e+02 1.5e+02 1.9e+02 1.7e+02 1.7e+02    70    84    10    49    18  -2.6 1.8e+02    74    29 1.2e+02    93 1.1e+02    97 1.3e+02    88    87 1.2e+02 1.2e+02    95 1e+02 1.1e+02    77 1.2e+02 1e+02 1.3e+02 1e+02 1e+02    99 1.1e+02 1.5e+02\n- p48(v11): 1.3e+02    58 1.1e+02   2.8 1.6e+02 1.3e+02    25 1e+02    67    38 1.8e+02    45    62 1.7e+02    63 1.1e+02 1.5e+02    11 1.9e+02 1.9e+02    97 1.4e+02 1e+02    88    72 1.4e+02    87    62    88    91    74    73    90    70 1.4e+02    41 1.1e+02    69 1.1e+02    79    63\n- p100(v10): 1.1e+02    99    97 1.1e+02 1e+02 1e+02 1e+02 1e+02 1e+02 1.1e+02 1e+02    98 1e+02    97    96    96    95 1.1e+02    97    96 1.1e+02 1e+02    96    97 1e+02 1.1e+02    98 1.1e+02 1e+02    97    98 1e+02 1e+02 1e+02 1e+02    96    93    99 1.1e+02    95 2.4e+02\n- p60(v9): 2e+02    59    84 1.1e+02 1.7e+02 1.1e+02    45 1.7e+02 1.2e+02 1.2e+02 1.5e+02    58    87 1.2e+02    13    50    82    71 1.3e+02 1.1e+02 1.2e+02 1.2e+02    77    63    64 1.8e+02 1e+02    68    25    57 1.4e+02    76 1.2e+02    75 1e+02   -26    77    43 1e+02    73    41\n- p74(v8):  0.33 1.6e+02 1.2e+02    79    35 1e+02    91    64    30    70    17 1.4e+02 1.3e+02 1.6e+02 1.4e+02 1.6e+02 1.7e+02    61    90 1.3e+02    95    97    76    97    80 1.2e+02 1.1e+02 1.1e+02    70    97 1.1e+02 1e+02 1.3e+02    97    84    70    74    98 1.1e+02    86    51\n- p96(v7):   5.7 1.5e+02 1.4e+02    63    49    98    63    75    39    58    17 1.4e+02 1.2e+02 1.7e+02 1.4e+02 1.6e+02 1.7e+02    42 1e+02 1.4e+02    85    94    87 1.3e+02    98    98 1.1e+02 1.1e+02    95 1.2e+02    89 1.2e+02 1.3e+02    84    99    95    89 1e+02 1.1e+02    82    64\n- p81(v6): 2.2e+02    53    46 1.8e+02 1.6e+02 1e+02 1.4e+02 1.5e+02 1.7e+02 1.8e+02 1.8e+02    62    93    29    30    17    17 1.7e+02    76    42 1.4e+02 1.1e+02    81    33    75 1.7e+02    96    90    42    45 1.5e+02    65 1e+02 1.2e+02    81    20    71    70 1.1e+02    97 1.1e+02\n- p86(v5):    30 1.5e+02 1.1e+02 1.5e+02    34    69 1.6e+02    70 1.1e+02 1.2e+02    19 1.6e+02 1.3e+02    62 1.6e+02 1.2e+02    82 1.6e+02    32    44    94    65 1.1e+02 1.5e+02 1.5e+02    21 1e+02 1.6e+02 1.7e+02 1.4e+02    74 1.5e+02    94 1.3e+02    89 2.2e+02 1e+02 1.5e+02 1e+02 1.1e+02 1.8e+02\n- p19(v4):    46 1.2e+02    57    87    37 1.5e+02 2.2e+02   6.4    36    89 1.4e+02    94 1.1e+02    87 1.7e+02 1.4e+02 1.4e+02 1.5e+02    98 1.4e+02 1.3e+02 1.3e+02    75   -11    40 1.5e+02    95    93    64    45 1.1e+02    19    80 1.6e+02    75    71    68 1.2e+02 1.4e+02 1.2e+02    83\n- p94(v3): 1.5e+02    45    87    25 1.5e+02 1.4e+02    84    84    85    58 2.1e+02    35    56 1.2e+02    76    93 1.2e+02    64 1.8e+02 1.7e+02 1.1e+02 1.4e+02 1e+02    60    72 1.3e+02    80    69 1e+02    80    73    54    68 1e+02 1.3e+02    69 1.1e+02    86 1.2e+02    95    59\n- p46(v2): 2.4e+02    48    72 1.8e+02 1.9e+02    85    65 2e+02 1.9e+02 1.8e+02 1.5e+02    65    93    58  -9.6     5    17 1.3e+02    85    37 1.2e+02    99    84    81    92 1.6e+02 1e+02    88    39    64 1.5e+02 1e+02 1.2e+02    81    92   2.2    78    50    91    78 1.1e+02\n- p79(v1):   -34 1.7e+02 1.2e+02    51     9 1.2e+02 1.3e+02    17   1.5    47    32 1.4e+02 1.2e+02 1.6e+02 1.8e+02 1.9e+02 2e+02    68 1e+02 1.6e+02    97 1.1e+02    79    76    71 1.1e+02 1.1e+02 1.1e+02    86    95    93    83 1.1e+02 1.2e+02    86    95    78 1.2e+02 1.3e+02    97    99\n\nThe center point is coplanar with a facet, or a vertex is coplanar\nwith a neighboring facet.  The maximum round off error for\ncomputing distances is 1.4e-11.  The center point, facets and distances\nto the center point are as follows:\n\ncenter point    115.5    93.65    91.29    106.3    107.1    104.5    107.2    103.4    104.2    107.5    116.2    91.82     98.3    95.25    90.88    91.65    94.38    107.4      101    99.07    109.6    104.7    92.77    84.38    92.46      117    97.12    100.6    90.38    88.37    102.9    91.85    99.54      106    99.45     82.5     90.1    94.75    109.3    94.69    86.16\n\nfacet p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.8e-14\nfacet p14 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.6e-14\nfacet p14 p13 p12 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.8e-14\nfacet p14 p13 p12 p11 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.1e-14\nfacet p14 p13 p12 p11 p10 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6.6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.2e-16\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.3e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -8.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.1e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.1e-13\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p81 p86 p19 p94 p46 p79 distance= -1.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p86 p19 p94 p46 p79 distance= -7.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p19 p94 p46 p79 distance= -3.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p94 p46 p79 distance= -2.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p46 p79 distance= -1e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p79 distance= -3.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 distance= -1.4e-14\n\nThese points either have a maximum or minimum x-coordinate, or\nthey maximize the determinant for k coordinates.  Trial points\nare first selected from points that maximize a coordinate.\n\nBecause of the high dimension, the min x-coordinate and max-coordinate\npoints are used if the determinant is non-zero.  Option 'Qs' will\ndo a better, though much slower, job.  Instead of 'Qs', you can change\nthe points by randomly rotating the input with 'QR0'.\n\nThe min and max coordinates for each dimension are:\n  0:    -34.17     242.8  difference= 276.9\n  1:     41.16     170.2  difference=  129\n  2:     44.87     144.1  difference= 99.26\n  3:    -8.179       233  difference= 241.1\n  4:     8.965     188.5  difference= 179.5\n  5:     47.84     145.2  difference= 97.33\n  6:    -2.737     218.1  difference= 220.9\n  7:    -12.18     204.8  difference=  217\n  8:    -6.742     198.8  difference= 205.6\n  9:     7.474     206.9  difference= 199.4\n  10:    -19.73     213.7  difference= 233.4\n  11:      34.9     158.6  difference= 123.7\n  12:     56.27     147.8  difference= 91.56\n  13:     -5.28     206.4  difference= 211.7\n  14:    -9.578     192.3  difference= 201.9\n  15:     4.992     190.1  difference= 185.2\n  16:    -4.608     209.4  difference=  214\n  17:     2.683     204.3  difference= 201.6\n  18:        21     194.6  difference= 173.6\n  19:    -4.403     199.5  difference= 203.9\n  20:     80.48     136.5  difference= 56.07\n  21:     62.07     138.9  difference= 76.82\n  22:     59.19     129.1  difference= 69.96\n  23:    -10.94     185.3  difference= 196.2\n  24:     40.24     152.6  difference= 112.3\n  25:     21.15     183.6  difference= 162.5\n  26:     78.41     120.4  difference= 41.96\n  27:     62.19     156.4  difference= 94.22\n  28:    0.4971     179.8  difference= 179.3\n  29:      43.8     143.4  difference= 99.65\n  30:     36.92     185.1  difference= 148.2\n  31:     19.33     178.3  difference=  159\n  32:     44.23     156.2  difference=  112\n  33:     51.54     163.7  difference= 112.1\n  34:     48.53       150  difference= 101.5\n  35:       -26     220.3  difference= 246.3\n  36:     44.64     133.6  difference= 88.94\n  37:     43.41     154.3  difference= 110.8\n  38:     75.61     142.4  difference= 66.82\n  39:     64.55     127.9  difference= 63.31\n  40:         0     242.8  difference= 242.8\n\nIf the input should be full dimensional, you have several options that\nmay determine an initial simplex:\n  - use 'QJ'  to joggle the input and make it full dimensional\n  - use 'QbB' to scale the points to the unit cube\n  - use 'QR0' to randomly rotate the input for different maximum points\n  - use 'Qs'  to search all points for the initial simplex\n  - use 'En'  to specify a maximum roundoff error less than 1.4e-11.\n  - trace execution with 'T3' to see the determinant for each point.\n\nIf the input is lower dimensional:\n  - use 'QJ' to joggle the input and make it full dimensional\n  - use 'Qbk:0Bk:0' to delete coordinate k from the input.  You should\n    pick the coordinate with the least range.  The hull will have the\n    correct topology.\n  - determine the flat containing the points, rotate the points\n    into a coordinate plane, and delete the other coordinates.\n  - add one or more points to make the input full dimensional.\n\n\"\"\"",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mQhullError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[100], line 12\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mgtda\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mhomology\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m WeakAlphaPersistence\n\u001b[1;32m     10\u001b[0m wa_pers \u001b[38;5;241m=\u001b[39m WeakAlphaPersistence(homology_dimensions\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m), n_jobs\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m---> 12\u001b[0m diagrams_wa_pers \u001b[38;5;241m=\u001b[39m \u001b[43mwa_pers\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43mX_pca\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX_pls\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/gtda/utils/_docs.py:106\u001b[0m, in \u001b[0;36madapt_fit_transform_docs.<locals>.make_new_fit_transform.<locals>.fit_transform_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    104\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(original_fit_transform)\n\u001b[1;32m    105\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfit_transform_wrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m--> 106\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43moriginal_fit_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/sklearn/utils/_set_output.py:295\u001b[0m, in \u001b[0;36m_wrap_method_output.<locals>.wrapped\u001b[0;34m(self, X, *args, **kwargs)\u001b[0m\n\u001b[1;32m    293\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(f)\n\u001b[1;32m    294\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapped\u001b[39m(\u001b[38;5;28mself\u001b[39m, X, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m--> 295\u001b[0m     data_to_wrap \u001b[38;5;241m=\u001b[39m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    296\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data_to_wrap, \u001b[38;5;28mtuple\u001b[39m):\n\u001b[1;32m    297\u001b[0m         \u001b[38;5;66;03m# only wrap the first output for cross decomposition\u001b[39;00m\n\u001b[1;32m    298\u001b[0m         return_tuple \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    299\u001b[0m             _wrap_data_with_container(method, data_to_wrap[\u001b[38;5;241m0\u001b[39m], X, \u001b[38;5;28mself\u001b[39m),\n\u001b[1;32m    300\u001b[0m             \u001b[38;5;241m*\u001b[39mdata_to_wrap[\u001b[38;5;241m1\u001b[39m:],\n\u001b[1;32m    301\u001b[0m         )\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/sklearn/base.py:1098\u001b[0m, in \u001b[0;36mTransformerMixin.fit_transform\u001b[0;34m(self, X, y, **fit_params)\u001b[0m\n\u001b[1;32m   1083\u001b[0m         warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m   1084\u001b[0m             (\n\u001b[1;32m   1085\u001b[0m                 \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThis object (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m) has a `transform`\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1093\u001b[0m             \u001b[38;5;167;01mUserWarning\u001b[39;00m,\n\u001b[1;32m   1094\u001b[0m         )\n\u001b[1;32m   1096\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   1097\u001b[0m     \u001b[38;5;66;03m# fit method of arity 1 (unsupervised transformation)\u001b[39;00m\n\u001b[0;32m-> 1098\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mfit_params\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1099\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1100\u001b[0m     \u001b[38;5;66;03m# fit method of arity 2 (supervised transformation)\u001b[39;00m\n\u001b[1;32m   1101\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfit(X, y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mfit_params)\u001b[38;5;241m.\u001b[39mtransform(X)\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/sklearn/utils/_set_output.py:295\u001b[0m, in \u001b[0;36m_wrap_method_output.<locals>.wrapped\u001b[0;34m(self, X, *args, **kwargs)\u001b[0m\n\u001b[1;32m    293\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(f)\n\u001b[1;32m    294\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapped\u001b[39m(\u001b[38;5;28mself\u001b[39m, X, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m--> 295\u001b[0m     data_to_wrap \u001b[38;5;241m=\u001b[39m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    296\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data_to_wrap, \u001b[38;5;28mtuple\u001b[39m):\n\u001b[1;32m    297\u001b[0m         \u001b[38;5;66;03m# only wrap the first output for cross decomposition\u001b[39;00m\n\u001b[1;32m    298\u001b[0m         return_tuple \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    299\u001b[0m             _wrap_data_with_container(method, data_to_wrap[\u001b[38;5;241m0\u001b[39m], X, \u001b[38;5;28mself\u001b[39m),\n\u001b[1;32m    300\u001b[0m             \u001b[38;5;241m*\u001b[39mdata_to_wrap[\u001b[38;5;241m1\u001b[39m:],\n\u001b[1;32m    301\u001b[0m         )\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/gtda/homology/simplicial.py:1208\u001b[0m, in \u001b[0;36mWeakAlphaPersistence.transform\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m   1205\u001b[0m check_is_fitted(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m   1206\u001b[0m X \u001b[38;5;241m=\u001b[39m check_point_clouds(X)\n\u001b[0;32m-> 1208\u001b[0m Xt \u001b[38;5;241m=\u001b[39m \u001b[43mParallel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mn_jobs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_jobs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1209\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdelayed\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_weak_alpha_diagram\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1211\u001b[0m Xt \u001b[38;5;241m=\u001b[39m _postprocess_diagrams(\n\u001b[1;32m   1212\u001b[0m     Xt, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mripser\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_homology_dimensions, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfinity_values_,\n\u001b[1;32m   1213\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreduced_homology\n\u001b[1;32m   1214\u001b[0m     )\n\u001b[1;32m   1215\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m Xt\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:1952\u001b[0m, in \u001b[0;36mParallel.__call__\u001b[0;34m(self, iterable)\u001b[0m\n\u001b[1;32m   1946\u001b[0m \u001b[38;5;66;03m# The first item from the output is blank, but it makes the interpreter\u001b[39;00m\n\u001b[1;32m   1947\u001b[0m \u001b[38;5;66;03m# progress until it enters the Try/Except block of the generator and\u001b[39;00m\n\u001b[1;32m   1948\u001b[0m \u001b[38;5;66;03m# reach the first `yield` statement. This starts the aynchronous\u001b[39;00m\n\u001b[1;32m   1949\u001b[0m \u001b[38;5;66;03m# dispatch of the tasks to the workers.\u001b[39;00m\n\u001b[1;32m   1950\u001b[0m \u001b[38;5;28mnext\u001b[39m(output)\n\u001b[0;32m-> 1952\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m output \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreturn_generator \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43moutput\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:1595\u001b[0m, in \u001b[0;36mParallel._get_outputs\u001b[0;34m(self, iterator, pre_dispatch)\u001b[0m\n\u001b[1;32m   1592\u001b[0m     \u001b[38;5;28;01myield\u001b[39;00m\n\u001b[1;32m   1594\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backend\u001b[38;5;241m.\u001b[39mretrieval_context():\n\u001b[0;32m-> 1595\u001b[0m         \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_retrieve()\n\u001b[1;32m   1597\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mGeneratorExit\u001b[39;00m:\n\u001b[1;32m   1598\u001b[0m     \u001b[38;5;66;03m# The generator has been garbage collected before being fully\u001b[39;00m\n\u001b[1;32m   1599\u001b[0m     \u001b[38;5;66;03m# consumed. This aborts the remaining tasks if possible and warn\u001b[39;00m\n\u001b[1;32m   1600\u001b[0m     \u001b[38;5;66;03m# the user if necessary.\u001b[39;00m\n\u001b[1;32m   1601\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:1699\u001b[0m, in \u001b[0;36mParallel._retrieve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1692\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wait_retrieval():\n\u001b[1;32m   1693\u001b[0m \n\u001b[1;32m   1694\u001b[0m     \u001b[38;5;66;03m# If the callback thread of a worker has signaled that its task\u001b[39;00m\n\u001b[1;32m   1695\u001b[0m     \u001b[38;5;66;03m# triggered an exception, or if the retrieval loop has raised an\u001b[39;00m\n\u001b[1;32m   1696\u001b[0m     \u001b[38;5;66;03m# exception (e.g. `GeneratorExit`), exit the loop and surface the\u001b[39;00m\n\u001b[1;32m   1697\u001b[0m     \u001b[38;5;66;03m# worker traceback.\u001b[39;00m\n\u001b[1;32m   1698\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_aborting:\n\u001b[0;32m-> 1699\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_error_fast\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1700\u001b[0m         \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m   1702\u001b[0m     \u001b[38;5;66;03m# If the next job is not ready for retrieval yet, we just wait for\u001b[39;00m\n\u001b[1;32m   1703\u001b[0m     \u001b[38;5;66;03m# async callbacks to progress.\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:1734\u001b[0m, in \u001b[0;36mParallel._raise_error_fast\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1730\u001b[0m \u001b[38;5;66;03m# If this error job exists, immediatly raise the error by\u001b[39;00m\n\u001b[1;32m   1731\u001b[0m \u001b[38;5;66;03m# calling get_result. This job might not exists if abort has been\u001b[39;00m\n\u001b[1;32m   1732\u001b[0m \u001b[38;5;66;03m# called directly or if the generator is gc'ed.\u001b[39;00m\n\u001b[1;32m   1733\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error_job \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1734\u001b[0m     \u001b[43merror_job\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_result\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:736\u001b[0m, in \u001b[0;36mBatchCompletionCallBack.get_result\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    730\u001b[0m backend \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparallel\u001b[38;5;241m.\u001b[39m_backend\n\u001b[1;32m    732\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m backend\u001b[38;5;241m.\u001b[39msupports_retrieve_callback:\n\u001b[1;32m    733\u001b[0m     \u001b[38;5;66;03m# We assume that the result has already been retrieved by the\u001b[39;00m\n\u001b[1;32m    734\u001b[0m     \u001b[38;5;66;03m# callback thread, and is stored internally. It's just waiting to\u001b[39;00m\n\u001b[1;32m    735\u001b[0m     \u001b[38;5;66;03m# be returned.\u001b[39;00m\n\u001b[0;32m--> 736\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_return_or_raise\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    738\u001b[0m \u001b[38;5;66;03m# For other backends, the main thread needs to run the retrieval step.\u001b[39;00m\n\u001b[1;32m    739\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "File \u001b[0;32m~/miniconda3/envs/neurometry/lib/python3.9/site-packages/joblib/parallel.py:754\u001b[0m, in \u001b[0;36mBatchCompletionCallBack._return_or_raise\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    752\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    753\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstatus \u001b[38;5;241m==\u001b[39m TASK_ERROR:\n\u001b[0;32m--> 754\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\n\u001b[1;32m    755\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\n\u001b[1;32m    756\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
      "\u001b[0;31mQhullError\u001b[0m: QH6154 Qhull precision error: Initial simplex is flat (facet 1 is coplanar with the interior point)\n\nWhile executing:  | qhull d Qt Q12 Qx Qc Qz Qbb\nOptions selected for Qhull 2019.1.r 2019/06/21:\n  run-id 1336544124  delaunay  Qtriangulate  Q12-allow-wide  Qxact-merge\n  Qcoplanar-keep  Qz-infinity-point  Qbbound-last  _zero-centrum\n  Qinterior-keep  Q3-no-merge-vertices-dim-high  Pgood  _max-width 2.8e+02\n  Error-roundoff 1.4e-11  _one-merge 1.2e-09  Visible-distance 8.6e-11\n  U-max-coplanar 8.6e-11  Width-outside 1.7e-10  _wide-facet 5.2e-10\n  _maxoutside 1.2e-09\n\nprecision problems (corrected unless 'Q0' or an error)\n     42 nearly singular or axis-parallel hyperplanes\n      7 zero divisors during gaussian elimination\n\nThe input to qhull appears to be less than 41 dimensional, or a\ncomputation has overflowed.\n\nQhull could not construct a clearly convex simplex from points:\n- p14(v42): 1.6e+02    68 1e+02    91 1.6e+02 1e+02    40 1.5e+02 1.2e+02 1e+02 1.3e+02    71    85 1.2e+02    40    69    90    64 1.3e+02 1.1e+02 1e+02 1.1e+02    95 1.1e+02    95 1.3e+02    96    85    78    92 1e+02 1e+02 1.1e+02    73 1.2e+02    45    97    68    98    78    23\n- p13(v41): 2e+02    41    64 1.1e+02 1.6e+02 1.1e+02 1.3e+02 1.2e+02 1.5e+02 1.3e+02 2e+02    48    71    51    56    44    45 1.4e+02 1.2e+02    91 1.2e+02 1.2e+02 1e+02    60    91 1.2e+02    84    90    99    74    99    69    72 1.2e+02 1.1e+02    82 1e+02    91 1.1e+02 1e+02    71\n- p12(v40):  -3.9 1.4e+02 1.1e+02    22    40 1.3e+02 1.1e+02    24   1.3    32    77 1.1e+02 1.1e+02 1.7e+02 1.6e+02 1.8e+02 2e+02    47 1.4e+02 1.8e+02    98 1.2e+02    82    67    61 1.3e+02 1e+02    89    81    88    86    68 1e+02 1.1e+02 1e+02    74    85 1e+02 1.3e+02    93    76\n- p11(v39): 1.9e+02    53    66 1.4e+02 1.5e+02 1e+02 1.3e+02 1.3e+02 1.6e+02 1.4e+02 1.8e+02    65    82    37    61    41    32 1.5e+02    95    64 1.2e+02 1.1e+02 1e+02    75 1e+02 1.1e+02    88 1e+02 1.1e+02    83 1e+02    86    78 1.2e+02 1e+02 1e+02    98    98 1.1e+02 1e+02    80\n- p10(v38): 1.9e+02    54 1.2e+02 1.1e+02 1.8e+02    70   3.5 1.9e+02 1.7e+02 1.2e+02 1.2e+02    78    81 1e+02    19    42    50    65 1.2e+02    70    89    87 1.2e+02 1.8e+02 1.5e+02    74    93 1.1e+02 1.3e+02 1.3e+02    80 1.6e+02 1.1e+02    52 1.3e+02 1.1e+02 1.2e+02    77    79    76 1.2e+02\n- p9(v37):    64    98    82    68    65 1.2e+02 1.8e+02    22    77    73 1.5e+02    89    86    72 1.6e+02 1.3e+02 1.1e+02 1.4e+02 1.1e+02 1.3e+02 1.1e+02 1.1e+02 1.1e+02    71 1e+02    66    84 1.1e+02 1.6e+02 1e+02    59    72    54 1.5e+02 1.1e+02 1.8e+02 1.1e+02 1.4e+02 1.3e+02 1.2e+02 1.1e+02\n- p8(v36): 1e+02    79    97    54 1.1e+02 1.2e+02 1.2e+02    67    90    68 1.5e+02    74    77    99 1.2e+02 1.1e+02 1.1e+02    96 1.4e+02 1.4e+02 1e+02 1.2e+02 1.1e+02    95 1e+02    81    85 1e+02 1.4e+02 1.1e+02    62    86    68 1.1e+02 1.2e+02 1.4e+02 1.1e+02 1.2e+02 1.2e+02 1e+02    55\n- p7(v35):    32 1.3e+02 1.2e+02    33    68 1.3e+02    73    60    18    45    81 1e+02 1e+02 1.8e+02 1.2e+02 1.6e+02 1.9e+02    32 1.4e+02 1.8e+02    99 1.2e+02    76    69    56 1.5e+02 1e+02    80    57    80 1e+02    71 1.2e+02    92 1e+02    34    80    83 1.2e+02    82    39\n- p6(v34):    26 1.3e+02    86    44    46 1.4e+02 1.5e+02    16    13    54 1.2e+02    95 1e+02 1.4e+02 1.6e+02 1.6e+02 1.8e+02    86 1.3e+02 1.7e+02 1.1e+02 1.3e+02    76    20    42 1.5e+02    98    83    63    61 1e+02    36    93 1.3e+02    90    56    76 1e+02 1.4e+02 1e+02    59\n- p4(v33): 1.2e+02    69    83    45 1.2e+02 1.4e+02 1.1e+02    69    74    68 1.8e+02    55    72 1.1e+02    98 1.1e+02 1.2e+02    83 1.5e+02 1.6e+02 1.1e+02 1.3e+02    96    49    67 1.3e+02    86    77    92    75    85    52    75 1.1e+02 1.2e+02    69    99    93 1.2e+02    99    32\n- p3(v32): 1.4e+02    76    68 1.1e+02 1.1e+02 1.2e+02 1.5e+02    86 1.2e+02 1.2e+02 1.6e+02    75    88    59    98    77    71 1.5e+02 1e+02    94 1.2e+02 1.1e+02    97    54    87 1.2e+02    89 1e+02 1e+02    76 1e+02    68    77 1.3e+02    98    98    92 1.1e+02 1.2e+02 1.1e+02    42\n- p2(v31): 2.1e+02    53    77 1.3e+02 1.8e+02 1e+02    56 1.8e+02 1.4e+02 1.4e+02 1.6e+02    57    88    95   4.3    34    60    91 1.2e+02    84 1.2e+02 1.1e+02    78    62    70 1.8e+02 1e+02    72    26    55 1.4e+02    79 1.2e+02    79    98   -22    76    44 1e+02    75    60\n- p0(v30):   9.4 1.4e+02 1.3e+02    18    60 1.2e+02    62    53    14    30    63 1.1e+02 1e+02 1.9e+02 1.4e+02 1.7e+02 2e+02    20 1.4e+02 1.8e+02    89 1.1e+02    87 1e+02    75 1.2e+02 1e+02    89    87 1e+02    81    91 1.1e+02    86 1.1e+02    73    92    95 1.2e+02    83    69\n- p20(v29):    19 1.5e+02    91 1.2e+02    24 1e+02 1.7e+02    40    62 1e+02    53 1.4e+02 1.3e+02    91 1.7e+02 1.4e+02 1.3e+02 1.4e+02    59    94 1.1e+02    94    86    72    91    96 1e+02 1.2e+02 1e+02    92 1e+02    89 1e+02 1.4e+02    75 1.3e+02    78 1.3e+02 1.2e+02 1.1e+02    75\n- p1(v28):     3 1.5e+02 1.1e+02    30    44 1.4e+02    91    39  -6.7    40    68 1.1e+02 1.1e+02 1.9e+02 1.4e+02 1.8e+02 2.1e+02    34 1.3e+02 1.9e+02 1e+02 1.2e+02    67    48    40 1.6e+02 1.1e+02    77    40    69 1.1e+02    57 1.2e+02 1e+02    90    18    70    84 1.3e+02    84    67\n- p35(v27): 1.3e+02    75 1.1e+02    48 1.4e+02 1.1e+02    31 1.2e+02    86    68 1.4e+02    69    80 1.5e+02    60    99 1.3e+02    34 1.6e+02 1.5e+02    98 1.2e+02    95 1e+02    84 1.3e+02    95    77    81    94    90    93 1.1e+02    70 1.2e+02    44 1e+02    70 1e+02    77    23\n- p25(v26):    49 1e+02 1e+02    46    68 1.2e+02 1.4e+02    30    65    55 1.3e+02    94    86 1e+02 1.6e+02 1.4e+02 1.3e+02 1e+02 1.2e+02 1.4e+02 1e+02 1.1e+02 1.1e+02    94 1.1e+02    63    86 1.1e+02 1.6e+02 1.2e+02    53    86    64 1.3e+02 1.2e+02 1.7e+02 1.1e+02 1.4e+02 1.2e+02 1.1e+02    93\n- p98(v25): 1.9e+02    61    61 1.7e+02 1.4e+02    93 1.5e+02 1.3e+02 1.7e+02 1.6e+02 1.6e+02    76    92    19    64    33    16 1.8e+02    70    38 1.3e+02    97 1e+02    73 1.1e+02 1.1e+02    91 1.1e+02 1e+02    81 1.1e+02    91    83 1.3e+02    93 1e+02    92 1e+02 1.1e+02 1.1e+02 1e+02\n- p52(v24): 2e+02    47    45 1.6e+02 1.4e+02 1.1e+02 1.9e+02 1e+02 1.7e+02 1.6e+02 2e+02    60    79  -5.3    82    32   6.8 2e+02    79    48 1.3e+02 1.1e+02 1.1e+02    51 1.1e+02    97    82 1.1e+02 1.2e+02    76    99    70    57 1.5e+02    98 1.3e+02    99 1.2e+02 1.1e+02 1.2e+02 1.5e+02\n- p84(v23): 1.8e+02 1.1e+02    62 2.3e+02 1.2e+02    77 1.2e+02 1.8e+02 1.6e+02 2.1e+02    72 1.2e+02 1.3e+02    48    33    31    29 1.7e+02    21   2.4 1.3e+02    83    59    51    75 1.8e+02 1.2e+02 1e+02   0.5    44 1.9e+02    95 1.5e+02 1.1e+02    49   -15    45    59    98    84 1.2e+02\n- p43(v22): 1.7e+02 1e+02 1.1e+02 2.1e+02 1.3e+02    48    56 2e+02 1.8e+02 1.8e+02    32 1.3e+02 1.3e+02    67    30    36    26 1.3e+02    30  -4.4 1e+02    62    89 1.5e+02 1.4e+02 1e+02 1.1e+02 1.3e+02    76 1.1e+02 1.4e+02 1.6e+02 1.4e+02    73    80    71    79    75    77    77 1.3e+02\n- p18(v21): 1.5e+02 1.1e+02 1e+02 2.1e+02 1.2e+02    51    85 1.8e+02 1.8e+02 1.8e+02    42 1.3e+02 1.3e+02    51    53    42    22 1.5e+02    27  -4.2 1e+02    62    97 1.5e+02 1.4e+02    83 1.1e+02 1.3e+02 1e+02 1.2e+02 1.2e+02 1.6e+02 1.3e+02    88    83 1.1e+02    86    93    82    87 1.3e+02\n- p16(v20): 1.3e+02    76    46 1.2e+02    89 1.3e+02 2.2e+02    46 1.1e+02 1.2e+02 1.9e+02    70    86    29 1.3e+02    83    65 1.9e+02    92    94 1.3e+02 1.2e+02    97    16    76 1.2e+02    84 1e+02 1.1e+02    62    99    40    57 1.6e+02    90 1.2e+02    89 1.3e+02 1.3e+02 1.2e+02 1e+02\n- p5(v19): 1.3e+02 1.2e+02    87 2e+02    93    70 1.1e+02 1.6e+02 1.4e+02 1.8e+02    38 1.3e+02 1.4e+02    68    67    63    54 1.5e+02    26    17 1.2e+02    75    74    95 1e+02 1.4e+02 1.2e+02 1.2e+02    47    79 1.5e+02 1.2e+02 1.4e+02 1e+02    62    47    62    81    95    86    72\n- p44(v18):    85 1.3e+02    94 1.6e+02    71    82 1.3e+02 1e+02 1.2e+02 1.4e+02    56 1.3e+02 1.2e+02    72 1.1e+02    95    77 1.4e+02    48    52 1.1e+02    81    92 1.1e+02 1.1e+02    92 1.1e+02 1.3e+02 1e+02 1e+02 1.1e+02 1.2e+02 1.1e+02 1.2e+02    80 1.2e+02    83 1.1e+02 1e+02 1e+02    57\n- p51(v17): 1.5e+02    60    89    74 1.4e+02 1.1e+02    96 1e+02 1.1e+02    90 1.7e+02    61    73    92    79    80    87    96 1.4e+02 1.2e+02 1.1e+02 1.2e+02 1.1e+02    87    97 1e+02    86    92 1.2e+02    95    79    84    76 1e+02 1.2e+02 1e+02 1.1e+02    97 1.1e+02    98    38\n- p47(v16):    30 1.6e+02 1.1e+02 1.4e+02    41    87 1e+02    99    65 1.1e+02  -1.9 1.5e+02 1.4e+02 1.3e+02 1.2e+02 1.3e+02 1.4e+02    94    52    81 1e+02    83    69    96    85 1.3e+02 1.2e+02 1.1e+02    50    88 1.3e+02 1.1e+02 1.5e+02    98    66    52    62    90 1.1e+02    84    43\n- p92(v15): 1.9e+02    56    78 1.6e+02 1.5e+02    78 1.3e+02 1.4e+02 1.9e+02 1.6e+02 1.5e+02    82    86    13    66    30   2.5 1.7e+02    70    27 1.1e+02    86 1.2e+02 1.2e+02 1.4e+02    58    86 1.3e+02 1.5e+02 1.2e+02    85 1.3e+02    73 1.2e+02 1.1e+02 1.7e+02 1.1e+02 1.2e+02    95 1.1e+02 1.6e+02\n- p54(v14): 1.6e+02    98    99 1.9e+02 1.3e+02    64    64 1.9e+02 1.6e+02 1.7e+02    59 1.2e+02 1.2e+02    76    35    44    42 1.2e+02    50    22 1.1e+02    75    86 1.3e+02 1.2e+02 1.2e+02 1.1e+02 1.2e+02    67    96 1.4e+02 1.4e+02 1.4e+02    79    83    56    79    72    85    79    79\n- p55(v13): 1.5e+02    49 1.2e+02    24 1.6e+02 1.1e+02    37 1.1e+02 1.1e+02    52 1.7e+02    51    58 1.3e+02    69    91 1.1e+02    41 1.8e+02 1.6e+02    92 1.2e+02 1.2e+02 1.3e+02 1.1e+02    82    81    86 1.4e+02 1.2e+02    50 1.1e+02    73    75 1.5e+02 1.2e+02 1.3e+02    93 1e+02    88    85\n- p73(v12): 2.1e+02    46    66 1.7e+02 1.6e+02    85 1.3e+02 1.5e+02 1.9e+02 1.7e+02 1.7e+02    70    84    10    49    18  -2.6 1.8e+02    74    29 1.2e+02    93 1.1e+02    97 1.3e+02    88    87 1.2e+02 1.2e+02    95 1e+02 1.1e+02    77 1.2e+02 1e+02 1.3e+02 1e+02 1e+02    99 1.1e+02 1.5e+02\n- p48(v11): 1.3e+02    58 1.1e+02   2.8 1.6e+02 1.3e+02    25 1e+02    67    38 1.8e+02    45    62 1.7e+02    63 1.1e+02 1.5e+02    11 1.9e+02 1.9e+02    97 1.4e+02 1e+02    88    72 1.4e+02    87    62    88    91    74    73    90    70 1.4e+02    41 1.1e+02    69 1.1e+02    79    63\n- p100(v10): 1.1e+02    99    97 1.1e+02 1e+02 1e+02 1e+02 1e+02 1e+02 1.1e+02 1e+02    98 1e+02    97    96    96    95 1.1e+02    97    96 1.1e+02 1e+02    96    97 1e+02 1.1e+02    98 1.1e+02 1e+02    97    98 1e+02 1e+02 1e+02 1e+02    96    93    99 1.1e+02    95 2.4e+02\n- p60(v9): 2e+02    59    84 1.1e+02 1.7e+02 1.1e+02    45 1.7e+02 1.2e+02 1.2e+02 1.5e+02    58    87 1.2e+02    13    50    82    71 1.3e+02 1.1e+02 1.2e+02 1.2e+02    77    63    64 1.8e+02 1e+02    68    25    57 1.4e+02    76 1.2e+02    75 1e+02   -26    77    43 1e+02    73    41\n- p74(v8):  0.33 1.6e+02 1.2e+02    79    35 1e+02    91    64    30    70    17 1.4e+02 1.3e+02 1.6e+02 1.4e+02 1.6e+02 1.7e+02    61    90 1.3e+02    95    97    76    97    80 1.2e+02 1.1e+02 1.1e+02    70    97 1.1e+02 1e+02 1.3e+02    97    84    70    74    98 1.1e+02    86    51\n- p96(v7):   5.7 1.5e+02 1.4e+02    63    49    98    63    75    39    58    17 1.4e+02 1.2e+02 1.7e+02 1.4e+02 1.6e+02 1.7e+02    42 1e+02 1.4e+02    85    94    87 1.3e+02    98    98 1.1e+02 1.1e+02    95 1.2e+02    89 1.2e+02 1.3e+02    84    99    95    89 1e+02 1.1e+02    82    64\n- p81(v6): 2.2e+02    53    46 1.8e+02 1.6e+02 1e+02 1.4e+02 1.5e+02 1.7e+02 1.8e+02 1.8e+02    62    93    29    30    17    17 1.7e+02    76    42 1.4e+02 1.1e+02    81    33    75 1.7e+02    96    90    42    45 1.5e+02    65 1e+02 1.2e+02    81    20    71    70 1.1e+02    97 1.1e+02\n- p86(v5):    30 1.5e+02 1.1e+02 1.5e+02    34    69 1.6e+02    70 1.1e+02 1.2e+02    19 1.6e+02 1.3e+02    62 1.6e+02 1.2e+02    82 1.6e+02    32    44    94    65 1.1e+02 1.5e+02 1.5e+02    21 1e+02 1.6e+02 1.7e+02 1.4e+02    74 1.5e+02    94 1.3e+02    89 2.2e+02 1e+02 1.5e+02 1e+02 1.1e+02 1.8e+02\n- p19(v4):    46 1.2e+02    57    87    37 1.5e+02 2.2e+02   6.4    36    89 1.4e+02    94 1.1e+02    87 1.7e+02 1.4e+02 1.4e+02 1.5e+02    98 1.4e+02 1.3e+02 1.3e+02    75   -11    40 1.5e+02    95    93    64    45 1.1e+02    19    80 1.6e+02    75    71    68 1.2e+02 1.4e+02 1.2e+02    83\n- p94(v3): 1.5e+02    45    87    25 1.5e+02 1.4e+02    84    84    85    58 2.1e+02    35    56 1.2e+02    76    93 1.2e+02    64 1.8e+02 1.7e+02 1.1e+02 1.4e+02 1e+02    60    72 1.3e+02    80    69 1e+02    80    73    54    68 1e+02 1.3e+02    69 1.1e+02    86 1.2e+02    95    59\n- p46(v2): 2.4e+02    48    72 1.8e+02 1.9e+02    85    65 2e+02 1.9e+02 1.8e+02 1.5e+02    65    93    58  -9.6     5    17 1.3e+02    85    37 1.2e+02    99    84    81    92 1.6e+02 1e+02    88    39    64 1.5e+02 1e+02 1.2e+02    81    92   2.2    78    50    91    78 1.1e+02\n- p79(v1):   -34 1.7e+02 1.2e+02    51     9 1.2e+02 1.3e+02    17   1.5    47    32 1.4e+02 1.2e+02 1.6e+02 1.8e+02 1.9e+02 2e+02    68 1e+02 1.6e+02    97 1.1e+02    79    76    71 1.1e+02 1.1e+02 1.1e+02    86    95    93    83 1.1e+02 1.2e+02    86    95    78 1.2e+02 1.3e+02    97    99\n\nThe center point is coplanar with a facet, or a vertex is coplanar\nwith a neighboring facet.  The maximum round off error for\ncomputing distances is 1.4e-11.  The center point, facets and distances\nto the center point are as follows:\n\ncenter point    115.5    93.65    91.29    106.3    107.1    104.5    107.2    103.4    104.2    107.5    116.2    91.82     98.3    95.25    90.88    91.65    94.38    107.4      101    99.07    109.6    104.7    92.77    84.38    92.46      117    97.12    100.6    90.38    88.37    102.9    91.85    99.54      106    99.45     82.5     90.1    94.75    109.3    94.69    86.16\n\nfacet p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.8e-14\nfacet p14 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.6e-14\nfacet p14 p13 p12 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.8e-14\nfacet p14 p13 p12 p11 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.1e-14\nfacet p14 p13 p12 p11 p10 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6.6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.2e-16\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.3e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -3.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -6e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -8.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.1e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.6e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -9.3e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.1e-13\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -7.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.9e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -2.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -4.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p100 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.5e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p60 p74 p96 p81 p86 p19 p94 p46 p79 distance= -1.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p74 p96 p81 p86 p19 p94 p46 p79 distance= -5.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p96 p81 p86 p19 p94 p46 p79 distance= -4.4e-15\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p81 p86 p19 p94 p46 p79 distance= -1.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p86 p19 p94 p46 p79 distance= -7.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p19 p94 p46 p79 distance= -3.4e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p94 p46 p79 distance= -2.7e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p46 p79 distance= -1e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p79 distance= -3.2e-14\nfacet p14 p13 p12 p11 p10 p9 p8 p7 p6 p4 p3 p2 p0 p20 p1 p35 p25 p98 p52 p84 p43 p18 p16 p5 p44 p51 p47 p92 p54 p55 p73 p48 p100 p60 p74 p96 p81 p86 p19 p94 p46 distance= -1.4e-14\n\nThese points either have a maximum or minimum x-coordinate, or\nthey maximize the determinant for k coordinates.  Trial points\nare first selected from points that maximize a coordinate.\n\nBecause of the high dimension, the min x-coordinate and max-coordinate\npoints are used if the determinant is non-zero.  Option 'Qs' will\ndo a better, though much slower, job.  Instead of 'Qs', you can change\nthe points by randomly rotating the input with 'QR0'.\n\nThe min and max coordinates for each dimension are:\n  0:    -34.17     242.8  difference= 276.9\n  1:     41.16     170.2  difference=  129\n  2:     44.87     144.1  difference= 99.26\n  3:    -8.179       233  difference= 241.1\n  4:     8.965     188.5  difference= 179.5\n  5:     47.84     145.2  difference= 97.33\n  6:    -2.737     218.1  difference= 220.9\n  7:    -12.18     204.8  difference=  217\n  8:    -6.742     198.8  difference= 205.6\n  9:     7.474     206.9  difference= 199.4\n  10:    -19.73     213.7  difference= 233.4\n  11:      34.9     158.6  difference= 123.7\n  12:     56.27     147.8  difference= 91.56\n  13:     -5.28     206.4  difference= 211.7\n  14:    -9.578     192.3  difference= 201.9\n  15:     4.992     190.1  difference= 185.2\n  16:    -4.608     209.4  difference=  214\n  17:     2.683     204.3  difference= 201.6\n  18:        21     194.6  difference= 173.6\n  19:    -4.403     199.5  difference= 203.9\n  20:     80.48     136.5  difference= 56.07\n  21:     62.07     138.9  difference= 76.82\n  22:     59.19     129.1  difference= 69.96\n  23:    -10.94     185.3  difference= 196.2\n  24:     40.24     152.6  difference= 112.3\n  25:     21.15     183.6  difference= 162.5\n  26:     78.41     120.4  difference= 41.96\n  27:     62.19     156.4  difference= 94.22\n  28:    0.4971     179.8  difference= 179.3\n  29:      43.8     143.4  difference= 99.65\n  30:     36.92     185.1  difference= 148.2\n  31:     19.33     178.3  difference=  159\n  32:     44.23     156.2  difference=  112\n  33:     51.54     163.7  difference= 112.1\n  34:     48.53       150  difference= 101.5\n  35:       -26     220.3  difference= 246.3\n  36:     44.64     133.6  difference= 88.94\n  37:     43.41     154.3  difference= 110.8\n  38:     75.61     142.4  difference= 66.82\n  39:     64.55     127.9  difference= 63.31\n  40:         0     242.8  difference= 242.8\n\nIf the input should be full dimensional, you have several options that\nmay determine an initial simplex:\n  - use 'QJ'  to joggle the input and make it full dimensional\n  - use 'QbB' to scale the points to the unit cube\n  - use 'QR0' to randomly rotate the input for different maximum points\n  - use 'Qs'  to search all points for the initial simplex\n  - use 'En'  to specify a maximum roundoff error less than 1.4e-11.\n  - trace execution with 'T3' to see the determinant for each point.\n\nIf the input is lower dimensional:\n  - use 'QJ' to joggle the input and make it full dimensional\n  - use 'Qbk:0Bk:0' to delete coordinate k from the input.  You should\n    pick the coordinate with the least range.  The hull will have the\n    correct topology.\n  - determine the flat containing the points, rotate the points\n    into a coordinate plane, and delete the other coordinates.\n  - add one or more points to make the input full dimensional.\n"
     ]
    }
   ],
   "source": [
    "# n_components = 4\n",
    "\n",
    "# X_pls = pls_transformed_X[n_components - 1]\n",
    "\n",
    "# X_pca = pca_transformed_X[n_components - 1]\n",
    "\n",
    "# from gtda.homology import WeakAlphaPersistence\n",
    "\n",
    "# wa_pers = WeakAlphaPersistence(homology_dimensions=(0, 1, 2))\n",
    "\n",
    "# diagrams_wa_pers = wa_pers.fit_transform([X_pca, X_pls])"
   ]
  }
 ],
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