{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [Virtual Epileptic Patient C++ implementation](https://github.com/Ziaeemehr/vbi_paper/blob/main/docs/examples/vep_sde.ipynb)\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/Ziaeemehr/vbi_paper/blob/main/docs/examples/vep_sde.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import tqdm\n",
    "import torch\n",
    "import pickle\n",
    "import numpy as np\n",
    "import networkx as nx\n",
    "import sbi.utils as utils\n",
    "from vbi import report_cfg\n",
    "import matplotlib.pyplot as plt\n",
    "from vbi.utils import LoadSample\n",
    "from sbi.analysis import pairplot\n",
    "from vbi.sbi_inference import Inference\n",
    "from vbi.models.cpp.vep import VEP_sde\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "seed = 2\n",
    "np.random.seed(seed)\n",
    "torch.manual_seed(seed);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(\"output/vep\", exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.loadtxt(\"data/weights1.txt\")\n",
    "nn = weights.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "healthy zone, propagation zone, epileptic zone eta values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "hz_val = -3.65\n",
    "pz_val = -2.4\n",
    "ez_val = -1.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ez_idx = np.array([6, 34], dtype=np.int32)\n",
    "pz_wplng_idx = np.array([5, 11], dtype=np.int32)\n",
    "pz_kplng_idx = np.array([27], dtype=np.int32)\n",
    "pz_idx = np.append(pz_kplng_idx, pz_wplng_idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "eta_true = np.ones(nn) * hz_val\n",
    "eta_true[pz_idx] = pz_val\n",
    "eta_true[ez_idx] = ez_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_state = np.zeros(2 * nn)\n",
    "initial_state[:nn] = -2.5\n",
    "initial_state[nn:] = 3.5\n",
    "# --------------------------------------------------------------------------- #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {\n",
    "    \"G\": 1.0,\n",
    "    \"seed\": seed,\n",
    "    \"initial_state\": initial_state,\n",
    "    \"weights\": weights,\n",
    "    \"tau\": 10.0,\n",
    "    \"eta\": -3.5,\n",
    "    \"noise_sigma\": 0.0,\n",
    "    \"iext\": 3.1,\n",
    "    \"dt\": 0.1,\n",
    "    \"tend\": 14.0,\n",
    "    \"tcut\": 1.0,\n",
    "    \"noise_seed\": 0,\n",
    "    \"record_step\": 1,\n",
    "    \"method\": \"heun\",\n",
    "    \"output\": \"output\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "obj = VEP_sde(params)\n",
    "g_true = 1.0\n",
    "eta_true = [-1.6] * 2\n",
    "eta_true_ = np.ones(nn) * hz_val\n",
    "eta_true_[pz_idx] = pz_val\n",
    "eta_true_[ez_idx] = ez_val\n",
    "control_true = {\"eta\": eta_true_, \"G\": g_true}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = obj.run(par=control_true)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts = data[\"x\"]\n",
    "t = data[\"t\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure(figsize=(10, 16))\n",
    "for i in range(0, nn):\n",
    "    if i in ez_idx:\n",
    "        plt.plot(t, ts[i, :] + i, \"r\", lw=3)\n",
    "    elif i in pz_idx:\n",
    "        plt.plot(t, ts[i, :] + i, \"orange\", lw=3)\n",
    "    else:\n",
    "        plt.plot(t, ts[i, :] + i, \"g\")\n",
    "plt.yticks(np.r_[0:nn] - 2, np.r_[0:nn], fontsize=10)\n",
    "plt.xticks(fontsize=16)\n",
    "plt.title(\"Source brain activity\", fontsize=18)\n",
    "plt.xlabel(\"Time\", fontsize=22)\n",
    "plt.ylabel(\"Brain Regions#\", fontsize=22)\n",
    "plt.tight_layout()\n",
    "# plt.savefig(\"output/vep_sde.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vbi.feature_extraction.features_settings import *\n",
    "from vbi.feature_extraction.calc_features import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = 1 / (params[\"dt\"]) / 1000\n",
    "cfg = get_features_by_domain(domain=\"statistical\")\n",
    "# cfg = get_features_by_given_names(cfg, names=[\"calc_moments\"])\n",
    "cfg = get_features_by_given_names(cfg, names=[\"auc\"])\n",
    "# report_cfg(cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1/1 [00:00<00:00, 1240.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 84)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "data = extract_features_df([ts], fs, cfg=cfg, n_workers=1)\n",
    "print(data.values.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wrapper(params, control, x0, cfg, verbose=False):\n",
    "    vep_obj = VEP_sde(params)\n",
    "    sol = vep_obj.run(control, x0=x0)\n",
    "\n",
    "    # extract features\n",
    "    fs = 1.0 / params[\"dt\"] * 1000  # [Hz]\n",
    "    stat_vec = extract_features(\n",
    "        ts=[sol[\"x\"]], cfg=cfg, fs=fs, n_workers=1, verbose=verbose\n",
    "    ).values[0]\n",
    "    return stat_vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def batch_run(params, control_list, x0, cfg, n_workers=1):\n",
    "    n = len(control_list)\n",
    "    def update_bar(_):\n",
    "        pbar.update()\n",
    "    with Pool(processes=n_workers) as pool:\n",
    "        with tqdm.tqdm(total=n) as pbar:\n",
    "            async_results = [\n",
    "                pool.apply_async(\n",
    "                    wrapper,\n",
    "                    args=(params, control_list[i], x0, cfg, False),\n",
    "                    callback=update_bar,\n",
    "                )\n",
    "                for i in range(n)\n",
    "            ]\n",
    "            stat_vec = [res.get() for res in async_results]\n",
    "    return stat_vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_sim = 1000\n",
    "num_workers = 10\n",
    "eta_min, eta_max = -5.0, -1.0\n",
    "gmin, gmax = 0.0, 2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "prior_min = [gmin] + [eta_min] * 2\n",
    "prior_max = [gmax] + [eta_max] * 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "prior = utils.BoxUniform(low=torch.tensor(prior_min), high=torch.tensor(prior_max))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "obj = Inference()\n",
    "theta = obj.sample_prior(prior, num_sim)\n",
    "theta_np = theta.numpy().astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 3)\n"
     ]
    }
   ],
   "source": [
    "print(theta_np.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "control_list = []\n",
    "for i in range(num_sim):\n",
    "    eta_ = np.ones(nn) * hz_val\n",
    "    eta_[pz_idx] = pz_val\n",
    "    eta_[ez_idx] = theta_np[i, 1:]\n",
    "    g_ = theta_np[i, 0]\n",
    "    control_list.append({\"eta\": eta_, \"G\": g_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1000/1000 [00:01<00:00, 960.96it/s]\n"
     ]
    }
   ],
   "source": [
    "stat_vec = batch_run(params, control_list, initial_state, cfg, num_workers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "scalar = StandardScaler()\n",
    "stat_vec_st = scalar.fit_transform(np.array(stat_vec))\n",
    "stat_vec_st = torch.tensor(stat_vec_st, dtype=torch.float32)\n",
    "torch.save(theta, \"output/vep/theta.pt\")\n",
    "torch.save(stat_vec, \"output/vep/stat_vec.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1000, 3]) torch.Size([1000, 84])\n"
     ]
    }
   ],
   "source": [
    "print(theta.shape, stat_vec_st.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Neural network successfully converged after 355 epochs.train Done in 0 hours 0 minutes 26.661914 seconds\n"
     ]
    }
   ],
   "source": [
    "posterior = obj.train(\n",
    "    theta, stat_vec_st, prior, method=\"SNPE\", density_estimator=\"maf\", num_threads=8\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"output/vep/posterior.pkl\", \"wb\") as f:\n",
    "    pickle.dump(posterior, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"output/vep/posterior.pkl\", \"rb\") as f:\n",
    "    posterior = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "xo = wrapper(params, control_true, initial_state, cfg)\n",
    "xo_st = scalar.transform(xo.reshape(1, -1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8b2a02b6a8fc4261939ad864dda7f3fe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Drawing 10000 posterior samples:   0%|          | 0/10000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "samples = obj.sample_posterior(xo_st, 10000, posterior)\n",
    "# torch.save(samples, \"output/vep/samples.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_1375221/387968677.py:3: DeprecationWarning: you passed deprecated arguments **kwargs: ['points_colors', 'samples_colors', 'points_offdiag'], use fig_kwargs instead. We continue calling the deprecated pairplot function\n",
      "  fig, ax = pairplot(\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 500x500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "limits = [[i, j] for i, j in zip(prior_min, prior_max)]\n",
    "points = [[g_true] + eta_true]\n",
    "fig, ax = pairplot(\n",
    "    samples,\n",
    "    limits=limits,\n",
    "    figsize=(5, 5),\n",
    "    points=points,\n",
    "    labels=[\"G\", \"eta1\", \"eta2\"],\n",
    "    offdiag=\"kde\",\n",
    "    diag=\"kde\",\n",
    "    points_colors=\"r\",\n",
    "    samples_colors=\"k\",\n",
    "    points_offdiag={\"markersize\": 10},\n",
    ")\n",
    "ax[0, 0].tick_params(labelsize=14)\n",
    "ax[0, 0].margins(y=0)\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}