{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "EwRw-f6ocdCR"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Init Plugin\n",
            "Init Graph Optimizer\n",
            "Init Kernel\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import imageio\n",
        "\n",
        "from time import time\n",
        "import os\n",
        "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
        "\n",
        "# https://www.birentech.com/news/130.html"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "glWkfJ2mcdCU"
      },
      "outputs": [],
      "source": [
        "def get_model(input_dim, output_dim, width, depth, regularization_param=1e-7,\n",
        "              act_func='tanh', output_act_func=False, random_seed=None) -> keras.Sequential:\n",
        "    initializer = keras.initializers.RandomNormal(seed=random_seed)\n",
        "    regularizer = keras.regularizers.l2(regularization_param)\n",
        "\n",
        "    if act_func == 'sin':\n",
        "        act_func = tf.math.sin\n",
        "\n",
        "    all_layers = [keras.layers.InputLayer(input_shape=[input_dim])]\n",
        "    all_layers += [keras.layers.Dense(width, activation=act_func,\n",
        "                                      kernel_initializer=initializer,\n",
        "                                      bias_initializer=initializer,\n",
        "                                      kernel_regularizer=regularizer,\n",
        "                                      bias_regularizer=regularizer) for _ in range(depth-1)]\n",
        "    all_layers.append(keras.layers.Dense(\n",
        "        output_dim, kernel_initializer=initializer,\n",
        "        activation=act_func if output_act_func else None,\n",
        "        bias_initializer=initializer,\n",
        "        kernel_regularizer=regularizer,\n",
        "        bias_regularizer=regularizer))\n",
        "    m = keras.Sequential(all_layers)\n",
        "    return m\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "u8T9p1Z1cdCV"
      },
      "outputs": [],
      "source": [
        "def init_fn(x, mu, sigma) -> np.array:\n",
        "    return 0.5*(tf.exp(-(x-mu)**2 / (2*sigma**2)) / (tf.sqrt(2*np.pi) * sigma))\n",
        "\n",
        "\n",
        "@tf.function\n",
        "def get_u(x, t):\n",
        "    u = model(tf.concat((x, t), axis=1))\n",
        "    return u\n",
        "\n",
        "\n",
        "@tf.function\n",
        "def get_u_du_d2u(x, t):\n",
        "    \"\"\"make prediction and calculate derivatives\n",
        "    \"\"\"\n",
        "    u = get_u(x, t)\n",
        "    du_dx = tf.gradients(u, x)[0]\n",
        "    du_dt = tf.gradients(u, t)[0]\n",
        "    u_du_dx = u*du_dx\n",
        "    d2u_dx2 = tf.gradients(u_du_dx, x)[0]\n",
        "    d2u_dt2 = tf.gradients(du_dt, t)[0]\n",
        "    return u, du_dx, du_dt, d2u_dx2, d2u_dt2\n",
        "\n",
        "\n",
        "def fit(model, x, t, length, c, epochs):\n",
        "    lambda_ini = 100\n",
        "    lambda_ini2 = 1\n",
        "    lambda_bc = 10\n",
        "    lambda_int = 1\n",
        "    x0_bdy = np.arange(0, length, num_p_row)\n",
        "    x1_bdy = np.arange(num_p_row-1, length, num_p_row)\n",
        "\n",
        "    for epoch in range(1, epochs+1):\n",
        "        with tf.GradientTape() as tape:\n",
        "            u, du_dx, du_dt, d2u_dx2, d2u_dt2 = get_u_du_d2u(x, t)\n",
        "\n",
        "            # compute the loss for initial condition u(x, 0)= ic\n",
        "            ini_l = tf.reduce_mean(tf.square(u[:num_p_row]-ic))*lambda_ini\n",
        "            # compute the loss for u_t(x, 0) = 0, use new lambda\n",
        "            ini_l2 = tf.reduce_mean(tf.square(du_dt[:num_p_row]))*lambda_ini2\n",
        "\n",
        "            # Reflection\n",
        "            # get all du/dx for x=0: u_x(0, t)= 0\n",
        "            bdy_x0 = tf.reduce_mean(\n",
        "                tf.square([du_dx[x_i] for x_i in x0_bdy]))*lambda_bc\n",
        "            # get all du/dx for x=1: u_x(L, t)= 0\n",
        "            bdy_x1 = tf.reduce_mean(\n",
        "                tf.square([du_dx[x_i] for x_i in x1_bdy]))*lambda_bc\n",
        "            # interior loss\n",
        "            int_l = tf.reduce_mean(\n",
        "                tf.square(d2u_dt2-d2u_dx2))*lambda_int\n",
        "            # regulation loss\n",
        "            reg_loss = tf.reduce_sum(model.losses)\n",
        "            # sum them up\n",
        "            loss_total = ini_l + ini_l2 + int_l + bdy_x0 + bdy_x1 + reg_loss\n",
        "        grads = tape.gradient(loss_total, model.trainable_variables)\n",
        "        opt.apply_gradients(zip(grads, model.trainable_variables))\n",
        "        if epoch % 100 == 0:\n",
        "            print(f\"ep {epoch}, total {loss_total.numpy()}, ic {ini_l.numpy()}, ic_v {ini_l2.numpy()}, bc_x0 {bdy_x0.numpy()}, bc_x1 {bdy_x1.numpy()}, int {int_l.numpy()}\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cIAxvyIxcdCW",
        "outputId": "d884cbed-27cb-43f6-e212-94e9dc07d15e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Metal device set to: Apple M1\n",
            "\n",
            "systemMemory: 16.00 GB\n",
            "maxCacheSize: 5.33 GB\n",
            "\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "dx = 0.02\n",
        "dt = 0.02\n",
        "time_span = 2.\n",
        "x_end = 1.\n",
        "num_p_row = 51\n",
        "epoch = 10\n",
        "c = 0.8\n",
        "\n",
        "x_input = [np.asarray([[x], [t]]) for t in np.arange(0, time_span+dt, dt)\n",
        "           for x in np.arange(0, x_end+dx, dx)]\n",
        "x, t = zip(*x_input)\n",
        "\n",
        "# print(x)\n",
        "# t=0 for all x\n",
        "# print(type(x[:num_p_row]))\n",
        "\n",
        "ic = tf.constant(init_fn(np.asarray(x[:num_p_row], dtype='float32'),\n",
        "                 0.5, 0.05), shape=(num_p_row, 1))\n",
        "plt.plot(x[:num_p_row], ic)\n",
        "\n",
        "x = tf.Variable(x, dtype='float32')\n",
        "t = tf.Variable(t, dtype='float32')\n",
        "model = get_model(2, 1, 20, 8, act_func='tanh')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "# x_input[0:num_p_row] # initial\n",
        "# [x_input[x_i] for x_i in np.arange(0,len(x_input),num_p_row)] # x=0\n",
        "# [x_input[t_i] for t_i in np.arange(num_p_row-1,len(x_input),num_p_row)]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ep 100, total 45.96726608276367, ic 35.23512649536133, ic_v 2.4234859943389893, bc_x0 0.5170100927352905, bc_x1 0.8598864078521729, int 6.9317169189453125\n",
            "ep 200, total 45.68950653076172, ic 34.76683044433594, ic_v 2.315298557281494, bc_x0 0.5083228349685669, bc_x1 0.9021320939064026, int 7.196874618530273\n",
            "ep 300, total 45.618736267089844, ic 34.64277648925781, ic_v 2.2715890407562256, bc_x0 0.5163640975952148, bc_x1 0.9092840552330017, int 7.278680801391602\n",
            "ep 400, total 45.57719039916992, ic 34.580291748046875, ic_v 2.250822067260742, bc_x0 0.5249612331390381, bc_x1 0.9087420105934143, int 7.312330722808838\n",
            "ep 500, total 45.543067932128906, ic 34.53992462158203, ic_v 2.240403652191162, bc_x0 0.5315837860107422, bc_x1 0.9076429009437561, int 7.323475360870361\n",
            "ep 600, total 45.54580307006836, ic 34.50735092163086, ic_v 2.2359085083007812, bc_x0 0.5356205701828003, bc_x1 0.9055114984512329, int 7.361371040344238\n",
            "ep 700, total 45.47700881958008, ic 34.464324951171875, ic_v 2.23466420173645, bc_x0 0.5389801859855652, bc_x1 0.9041727185249329, int 7.334827899932861\n",
            "ep 800, total 45.44473648071289, ic 34.43089294433594, ic_v 2.2338600158691406, bc_x0 0.5405026078224182, bc_x1 0.9032806754112244, int 7.336153507232666\n",
            "ep 900, total 45.45813751220703, ic 34.40597152709961, ic_v 2.230994939804077, bc_x0 0.5397671461105347, bc_x1 0.9067886471748352, int 7.374572277069092\n",
            "ep 1000, total 45.3708381652832, ic 34.356040954589844, ic_v 2.2367405891418457, bc_x0 0.5416052341461182, bc_x1 0.8996596336364746, int 7.336749076843262\n",
            "ep 1100, total 45.333641052246094, ic 34.31795883178711, ic_v 2.238079786300659, bc_x0 0.5416345000267029, bc_x1 0.8984250426292419, int 7.337502956390381\n",
            "ep 1200, total 45.308048248291016, ic 34.29664611816406, ic_v 2.237035036087036, bc_x0 0.5406540632247925, bc_x1 0.9001653790473938, int 7.333507537841797\n",
            "ep 1300, total 45.794647216796875, ic 34.230438232421875, ic_v 2.2460432052612305, bc_x0 0.5452757477760315, bc_x1 0.8842686414718628, int 7.888578414916992\n",
            "ep 1400, total 45.20467758178711, ic 34.19309997558594, ic_v 2.246455192565918, bc_x0 0.5419636964797974, bc_x1 0.8917670845985413, int 7.33134651184082\n",
            "ep 1500, total 45.15928268432617, ic 34.14781188964844, ic_v 2.250218391418457, bc_x0 0.5422318577766418, bc_x1 0.8897291421890259, int 7.329251766204834\n",
            "ep 1600, total 45.116092681884766, ic 34.11674118041992, ic_v 2.252185821533203, bc_x0 0.5395959615707397, bc_x1 0.8867723941802979, int 7.320754528045654\n",
            "ep 1700, total 45.25983428955078, ic 34.09477615356445, ic_v 2.2874372005462646, bc_x0 0.5489711761474609, bc_x1 0.8773148059844971, int 7.451292991638184\n",
            "ep 1800, total 47.268592834472656, ic 34.09258270263672, ic_v 2.2063565254211426, bc_x0 0.5455330014228821, bc_x1 0.8873412013053894, int 9.536739349365234\n",
            "ep 1900, total 45.254234313964844, ic 33.985904693603516, ic_v 2.2441251277923584, bc_x0 0.5403038263320923, bc_x1 0.8824295401573181, int 7.601428508758545\n",
            "ep 2000, total 44.906131744384766, ic 33.90829086303711, ic_v 2.2754876613616943, bc_x0 0.5395766496658325, bc_x1 0.8795797228813171, int 7.303154945373535\n",
            "ep 2100, total 44.858726501464844, ic 33.873661041259766, ic_v 2.2820253372192383, bc_x0 0.5373641848564148, bc_x1 0.8782947659492493, int 7.28734016418457\n",
            "ep 2200, total 44.82537078857422, ic 33.845706939697266, ic_v 2.2798099517822266, bc_x0 0.5377359390258789, bc_x1 0.8745921850204468, int 7.287482738494873\n",
            "ep 2300, total 44.75006866455078, ic 33.764461517333984, ic_v 2.2902748584747314, bc_x0 0.5389467477798462, bc_x1 0.8734045028686523, int 7.28293514251709\n",
            "ep 2400, total 44.68964767456055, ic 33.703041076660156, ic_v 2.300187349319458, bc_x0 0.5385144352912903, bc_x1 0.8715046644210815, int 7.276358604431152\n",
            "ep 2500, total 44.66252136230469, ic 33.65958023071289, ic_v 2.3057963848114014, bc_x0 0.5371795296669006, bc_x1 0.8705480098724365, int 7.289374828338623\n",
            "ep 2600, total 44.59842300415039, ic 33.60285949707031, ic_v 2.312868118286133, bc_x0 0.5380290150642395, bc_x1 0.8681139349937439, int 7.276513576507568\n",
            "ep 2700, total 44.529083251953125, ic 33.55154037475586, ic_v 2.3374555110931396, bc_x0 0.536878764629364, bc_x1 0.8649115562438965, int 7.238254547119141\n",
            "ep 2800, total 45.80614471435547, ic 33.41389465332031, ic_v 2.406538248062134, bc_x0 0.5422035455703735, bc_x1 0.8613777160644531, int 8.5820894241333\n",
            "ep 2900, total 46.05219268798828, ic 33.498130798339844, ic_v 2.4339568614959717, bc_x0 0.5562888383865356, bc_x1 0.8647037744522095, int 8.69906997680664\n",
            "ep 3000, total 44.33132553100586, ic 33.327239990234375, ic_v 2.359884023666382, bc_x0 0.5397148132324219, bc_x1 0.8573179841041565, int 7.247128963470459\n",
            "ep 3100, total 44.28549575805664, ic 33.30339050292969, ic_v 2.3644351959228516, bc_x0 0.5335641503334045, bc_x1 0.8580353856086731, int 7.226029396057129\n",
            "ep 3200, total 44.64206314086914, ic 33.16959762573242, ic_v 2.4103779792785645, bc_x0 0.5388038754463196, bc_x1 0.8528850078582764, int 7.670356750488281\n",
            "ep 3300, total 44.865074157714844, ic 33.08587646484375, ic_v 2.4483940601348877, bc_x0 0.5411939024925232, bc_x1 0.8492085337638855, int 7.9403557777404785\n",
            "ep 3400, total 44.08179473876953, ic 33.06414031982422, ic_v 2.412937641143799, bc_x0 0.5376072525978088, bc_x1 0.8487952351570129, int 7.218269348144531\n",
            "ep 3500, total 44.07355880737305, ic 33.072383880615234, ic_v 2.435581684112549, bc_x0 0.5309301614761353, bc_x1 0.8496677875518799, int 7.1849565505981445\n",
            "ep 3600, total 43.94860076904297, ic 32.907432556152344, ic_v 2.4483187198638916, bc_x0 0.5382068157196045, bc_x1 0.8428221344947815, int 7.211776256561279\n",
            "ep 3700, total 44.187801361083984, ic 32.872474670410156, ic_v 2.4677574634552, bc_x0 0.5388369560241699, bc_x1 0.844223141670227, int 7.4644646644592285\n",
            "ep 3800, total 43.98115539550781, ic 32.87519454956055, ic_v 2.501620292663574, bc_x0 0.5498089790344238, bc_x1 0.8421099781990051, int 7.212381362915039\n",
            "ep 3900, total 46.60716247558594, ic 32.63035202026367, ic_v 2.6034440994262695, bc_x0 0.53920578956604, bc_x1 0.8343756794929504, int 9.999740600585938\n",
            "ep 4000, total 43.68031311035156, ic 32.60972595214844, ic_v 2.522775173187256, bc_x0 0.5343486070632935, bc_x1 0.8323984146118164, int 7.181026935577393\n",
            "ep 4100, total 43.61545181274414, ic 32.53766632080078, ic_v 2.5407073497772217, bc_x0 0.5335729122161865, bc_x1 0.8308201432228088, int 7.172641754150391\n",
            "ep 4200, total 44.01620101928711, ic 32.487281799316406, ic_v 2.553821086883545, bc_x0 0.5333792567253113, bc_x1 0.8275449872016907, int 7.614132881164551\n",
            "ep 4300, total 43.518760681152344, ic 32.392887115478516, ic_v 2.591402530670166, bc_x0 0.5304626822471619, bc_x1 0.823442816734314, int 7.180521011352539\n",
            "ep 4400, total 43.6375617980957, ic 32.296268463134766, ic_v 2.618577003479004, bc_x0 0.5315468311309814, bc_x1 0.8203502893447876, int 7.370776176452637\n",
            "ep 4500, total 43.33198928833008, ic 32.22417068481445, ic_v 2.635706901550293, bc_x0 0.5298418402671814, bc_x1 0.8173295855522156, int 7.124897480010986\n",
            "ep 4600, total 43.26687240600586, ic 32.12207794189453, ic_v 2.667576789855957, bc_x0 0.5284612774848938, bc_x1 0.8133753538131714, int 7.135340213775635\n",
            "ep 4700, total 43.2873649597168, ic 32.04180908203125, ic_v 2.6870620250701904, bc_x0 0.5272645950317383, bc_x1 0.8107820749282837, int 7.220407009124756\n",
            "ep 4800, total 43.24199676513672, ic 32.08173370361328, ic_v 2.686163902282715, bc_x0 0.5276046395301819, bc_x1 0.7976706027984619, int 7.148779392242432\n",
            "ep 4900, total 43.643802642822266, ic 32.06708526611328, ic_v 2.7362060546875, bc_x0 0.541253924369812, bc_x1 0.7894354462623596, int 7.509779453277588\n",
            "ep 5000, total 43.01690673828125, ic 31.78521156311035, ic_v 2.7706873416900635, bc_x0 0.5249079465866089, bc_x1 0.7987814545631409, int 7.137270927429199\n",
            "ep 5100, total 43.25532531738281, ic 31.788639068603516, ic_v 2.819988489151001, bc_x0 0.5232862830162048, bc_x1 0.7851374745368958, int 7.338229179382324\n",
            "ep 5200, total 43.46311950683594, ic 31.819843292236328, ic_v 2.8318614959716797, bc_x0 0.5192320346832275, bc_x1 0.7745611071586609, int 7.517573833465576\n",
            "ep 5300, total 42.773616790771484, ic 31.53773307800293, ic_v 2.850269079208374, bc_x0 0.5209063291549683, bc_x1 0.787002444267273, int 7.077662944793701\n",
            "ep 5400, total 42.708168029785156, ic 31.459793090820312, ic_v 2.877598762512207, bc_x0 0.5200308561325073, bc_x1 0.7833297252655029, int 7.0673723220825195\n",
            "ep 5500, total 42.642757415771484, ic 31.39558982849121, ic_v 2.895594358444214, bc_x0 0.5173280835151672, bc_x1 0.7798898220062256, int 7.054313659667969\n",
            "ep 5600, total 42.59877014160156, ic 31.447452545166016, ic_v 2.899226427078247, bc_x0 0.5117327570915222, bc_x1 0.7703728675842285, int 6.969935417175293\n",
            "ep 5700, total 42.51021194458008, ic 31.217655181884766, ic_v 2.9541025161743164, bc_x0 0.5158616304397583, bc_x1 0.7706583142280579, int 7.051889896392822\n",
            "ep 5800, total 42.44192123413086, ic 31.140243530273438, ic_v 2.983804702758789, bc_x0 0.5149835348129272, bc_x1 0.767173171043396, int 7.035672664642334\n",
            "ep 5900, total 42.38106155395508, ic 31.08643341064453, ic_v 2.992765426635742, bc_x0 0.5121908187866211, bc_x1 0.7644317150115967, int 7.025191783905029\n",
            "ep 6000, total 42.61578369140625, ic 31.146404266357422, ic_v 3.020219326019287, bc_x0 0.5076614618301392, bc_x1 0.7548600435256958, int 7.186594486236572\n",
            "ep 6100, total 42.24906539916992, ic 30.909517288208008, ic_v 3.056605339050293, bc_x0 0.5104615688323975, bc_x1 0.7547429203987122, int 7.017695426940918\n",
            "ep 6200, total 44.57646942138672, ic 30.81901741027832, ic_v 3.165658473968506, bc_x0 0.5117616057395935, bc_x1 0.7546607255935669, int 9.325324058532715\n",
            "ep 6300, total 42.47984313964844, ic 30.916044235229492, ic_v 3.0482561588287354, bc_x0 0.5093215703964233, bc_x1 0.7354171276092529, int 7.270755767822266\n",
            "ep 6400, total 42.95530700683594, ic 30.88113021850586, ic_v 3.0496082305908203, bc_x0 0.5135942697525024, bc_x1 0.7320422530174255, int 7.778886318206787\n",
            "ep 6500, total 42.453529357910156, ic 30.60954475402832, ic_v 3.147376775741577, bc_x0 0.5031754970550537, bc_x1 0.7375179529190063, int 7.455870151519775\n",
            "ep 6600, total 41.927494049072266, ic 30.54768180847168, ic_v 3.1678850650787354, bc_x0 0.502429723739624, bc_x1 0.734734833240509, int 6.974715232849121\n",
            "ep 6700, total 41.898128509521484, ic 30.55502700805664, ic_v 3.1506659984588623, bc_x0 0.500525712966919, bc_x1 0.7294288277626038, int 6.962436199188232\n",
            "ep 6800, total 41.80522155761719, ic 30.39690589904785, ic_v 3.2128286361694336, bc_x0 0.5009803175926208, bc_x1 0.7266777157783508, int 6.9677839279174805\n",
            "ep 6900, total 41.749900817871094, ic 30.366573333740234, ic_v 3.211794137954712, bc_x0 0.49705204367637634, bc_x1 0.7245405912399292, int 6.949893474578857\n",
            "ep 7000, total 42.583309173583984, ic 30.526151657104492, ic_v 3.155184030532837, bc_x0 0.519873857498169, bc_x1 0.7083035707473755, int 7.6737494468688965\n",
            "ep 7100, total 41.622772216796875, ic 30.21009063720703, ic_v 3.262261152267456, bc_x0 0.49511468410491943, bc_x1 0.7167210578918457, int 6.938541412353516\n",
            "ep 7200, total 42.344852447509766, ic 30.256458282470703, ic_v 3.2202866077423096, bc_x0 0.5009780526161194, bc_x1 0.7049002647399902, int 7.662186145782471\n",
            "ep 7300, total 41.65627670288086, ic 30.174116134643555, ic_v 3.2592506408691406, bc_x0 0.49365460872650146, bc_x1 0.7055281400680542, int 7.023680210113525\n",
            "ep 7400, total 41.8331298828125, ic 30.24366569519043, ic_v 3.231102705001831, bc_x0 0.49320849776268005, bc_x1 0.6895266771316528, int 7.1755781173706055\n",
            "ep 7500, total 41.37929153442383, ic 29.939430236816406, ic_v 3.3310015201568604, bc_x0 0.4898031949996948, bc_x1 0.7030726075172424, int 6.915940761566162\n",
            "ep 7600, total 41.335731506347656, ic 29.928260803222656, ic_v 3.3204119205474854, bc_x0 0.488161563873291, bc_x1 0.6980997920036316, int 6.900749683380127\n",
            "ep 7700, total 42.00435256958008, ic 30.021324157714844, ic_v 3.2659969329833984, bc_x0 0.5089057087898254, bc_x1 0.6854659914970398, int 7.522609233856201\n",
            "ep 7800, total 41.20355224609375, ic 29.75360679626465, ic_v 3.37180233001709, bc_x0 0.4855072498321533, bc_x1 0.6939422488212585, int 6.898649215698242\n",
            "ep 7900, total 41.159278869628906, ic 29.753551483154297, ic_v 3.361400604248047, bc_x0 0.48380815982818604, bc_x1 0.6894782185554504, int 6.870995044708252\n",
            "ep 8000, total 42.827205657958984, ic 29.593082427978516, ic_v 3.4733150005340576, bc_x0 0.4866250157356262, bc_x1 0.6914633512496948, int 8.582673072814941\n",
            "ep 8100, total 41.0301513671875, ic 29.58419418334961, ic_v 3.399181842803955, bc_x0 0.48105713725090027, bc_x1 0.6856104135513306, int 6.880061149597168\n",
            "ep 8200, total 41.075443267822266, ic 29.635679244995117, ic_v 3.372774124145508, bc_x0 0.4830946922302246, bc_x1 0.6756694316864014, int 6.908179759979248\n",
            "ep 8300, total 41.260250091552734, ic 29.419782638549805, ic_v 3.4699835777282715, bc_x0 0.4809468388557434, bc_x1 0.681324303150177, int 7.208166599273682\n",
            "ep 8400, total 40.862098693847656, ic 29.426883697509766, ic_v 3.4175288677215576, bc_x0 0.47634392976760864, bc_x1 0.6781048774719238, int 6.863191604614258\n",
            "ep 8500, total 40.82674026489258, ic 29.305017471313477, ic_v 3.4709312915802, bc_x0 0.4788804352283478, bc_x1 0.6752667427062988, int 6.896596908569336\n",
            "ep 8600, total 40.74976348876953, ic 29.307832717895508, ic_v 3.4384496212005615, bc_x0 0.47457340359687805, bc_x1 0.673648476600647, int 6.855213165283203\n",
            "ep 8700, total 40.76124572753906, ic 29.18548011779785, ic_v 3.49432110786438, bc_x0 0.47707194089889526, bc_x1 0.670996367931366, int 6.933326721191406\n",
            "ep 8800, total 40.638938903808594, ic 29.2042293548584, ic_v 3.4486823081970215, bc_x0 0.47268587350845337, bc_x1 0.6692439913749695, int 6.844050884246826\n",
            "ep 8900, total 40.57501983642578, ic 29.079750061035156, ic_v 3.4951605796813965, bc_x0 0.4751032292842865, bc_x1 0.6665034294128418, int 6.858458995819092\n",
            "ep 9000, total 40.525306701660156, ic 29.08094596862793, ic_v 3.46720552444458, bc_x0 0.4714573621749878, bc_x1 0.6648833751678467, int 6.8407673835754395\n",
            "ep 9100, total 48.29283905029297, ic 29.036176681518555, ic_v 3.6461312770843506, bc_x0 0.4829811453819275, bc_x1 0.6741430759429932, int 14.45335865020752\n",
            "ep 9200, total 40.40776062011719, ic 28.945436477661133, ic_v 3.4928009510040283, bc_x0 0.4704916477203369, bc_x1 0.6604545712471008, int 6.838531970977783\n",
            "ep 9300, total 40.44888687133789, ic 29.047914505004883, ic_v 3.4562132358551025, bc_x0 0.46358126401901245, bc_x1 0.6511318683624268, int 6.830002784729004\n",
            "ep 9400, total 40.29356002807617, ic 28.817590713500977, ic_v 3.5111987590789795, bc_x0 0.46998098492622375, bc_x1 0.6571292281150818, int 6.83761739730835\n",
            "ep 9500, total 40.25334930419922, ic 28.880977630615234, ic_v 3.468578815460205, bc_x0 0.46738094091415405, bc_x1 0.6530150771141052, int 6.783352375030518\n",
            "ep 9600, total 40.180423736572266, ic 28.699039459228516, ic_v 3.5250139236450195, bc_x0 0.4692469537258148, bc_x1 0.6535838842391968, int 6.833494663238525\n",
            "ep 9700, total 40.14023208618164, ic 28.689929962158203, ic_v 3.510178565979004, bc_x0 0.46628567576408386, bc_x1 0.6509419679641724, int 6.822848320007324\n",
            "ep 9800, total 40.287235260009766, ic 28.784984588623047, ic_v 3.493938684463501, bc_x0 0.4692995548248291, bc_x1 0.6354116201400757, int 6.903555393218994\n",
            "ep 9900, total 42.684391021728516, ic 28.595930099487305, ic_v 3.4594340324401855, bc_x0 0.4805207848548889, bc_x1 0.6449797749519348, int 9.50347900390625\n",
            "ep 10000, total 40.95465087890625, ic 28.665054321289062, ic_v 3.4502131938934326, bc_x0 0.4732784032821655, bc_x1 0.6369808912277222, int 7.7290778160095215\n",
            "ep 10100, total 40.116947174072266, ic 28.428421020507812, ic_v 3.524556875228882, bc_x0 0.4666222333908081, bc_x1 0.6438697576522827, int 7.053428649902344\n",
            "ep 10200, total 39.8488655090332, ic 28.395355224609375, ic_v 3.533714771270752, bc_x0 0.46464529633522034, bc_x1 0.6433700919151306, int 6.811734199523926\n",
            "ep 10300, total 39.9450569152832, ic 28.476470947265625, ic_v 3.503617763519287, bc_x0 0.45653676986694336, bc_x1 0.6387169361114502, int 6.869670867919922\n",
            "ep 10400, total 39.73847579956055, ic 28.270357131958008, ic_v 3.547605276107788, bc_x0 0.46480512619018555, bc_x1 0.6415035724639893, int 6.8141632080078125\n",
            "ep 10500, total 39.711971282958984, ic 28.28900909423828, ic_v 3.517578363418579, bc_x0 0.4640543758869171, bc_x1 0.6360102891921997, int 6.805278301239014\n",
            "ep 10600, total 39.629398345947266, ic 28.142885208129883, ic_v 3.5642645359039307, bc_x0 0.465082049369812, bc_x1 0.6378054022789001, int 6.819321155548096\n",
            "ep 10700, total 39.59267044067383, ic 28.195354461669922, ic_v 3.509819507598877, bc_x0 0.4613332152366638, bc_x1 0.6372281908988953, int 6.788891315460205\n",
            "ep 10800, total 39.52619552612305, ic 28.053024291992188, ic_v 3.5610432624816895, bc_x0 0.4639434814453125, bc_x1 0.6362481117248535, int 6.811893463134766\n",
            "ep 10900, total 39.47955322265625, ic 28.04495620727539, ic_v 3.5431127548217773, bc_x0 0.46213585138320923, bc_x1 0.6319642663002014, int 6.797340393066406\n",
            "ep 11000, total 39.59406661987305, ic 28.17588233947754, ic_v 3.5103673934936523, bc_x0 0.4633290767669678, bc_x1 0.6203107237815857, int 6.824132919311523\n",
            "ep 11100, total 39.36727523803711, ic 27.90435218811035, ic_v 3.562730312347412, bc_x0 0.46244528889656067, bc_x1 0.6322911381721497, int 6.805414199829102\n",
            "ep 11200, total 39.33938217163086, ic 27.918493270874023, ic_v 3.5321457386016846, bc_x0 0.4605962336063385, bc_x1 0.6281473636627197, int 6.799955368041992\n",
            "ep 11300, total 43.33650588989258, ic 27.87552261352539, ic_v 3.662581443786621, bc_x0 0.464230477809906, bc_x1 0.6394970417022705, int 10.694633483886719\n",
            "ep 11400, total 39.21216583251953, ic 27.75741195678711, ic_v 3.56394100189209, bc_x0 0.4613686800003052, bc_x1 0.6284068822860718, int 6.8009934425354\n",
            "ep 11500, total 39.18798828125, ic 27.835342407226562, ic_v 3.509094476699829, bc_x0 0.45800790190696716, bc_x1 0.6221064329147339, int 6.763399124145508\n",
            "ep 11600, total 39.112308502197266, ic 27.66103172302246, ic_v 3.562119245529175, bc_x0 0.46139228343963623, bc_x1 0.6274605393409729, int 6.80026388168335\n",
            "ep 11700, total 39.27744674682617, ic 27.898731231689453, ic_v 3.487895965576172, bc_x0 0.4595189094543457, bc_x1 0.6156917810440063, int 6.81556510925293\n",
            "ep 11800, total 39.0146598815918, ic 27.584707260131836, ic_v 3.552797317504883, bc_x0 0.4603271186351776, bc_x1 0.6252562999725342, int 6.791531085968018\n",
            "ep 11900, total 41.818603515625, ic 27.721691131591797, ic_v 3.6276543140411377, bc_x0 0.4838933050632477, bc_x1 0.6472156047821045, int 9.338103294372559\n",
            "ep 12000, total 38.91720962524414, ic 27.504161834716797, ic_v 3.545098304748535, bc_x0 0.45913878083229065, bc_x1 0.6226160526275635, int 6.786157131195068\n",
            "ep 12100, total 45.5666618347168, ic 27.446561813354492, ic_v 3.4729034900665283, bc_x0 0.46832475066185, bc_x1 0.6161758899688721, int 13.56264877319336\n",
            "ep 12200, total 38.81684875488281, ic 27.39764404296875, ic_v 3.5507800579071045, bc_x0 0.4598553776741028, bc_x1 0.62005215883255, int 6.788476943969727\n",
            "ep 12300, total 39.04667663574219, ic 27.52798843383789, ic_v 3.521266222000122, bc_x0 0.4560101330280304, bc_x1 0.6145059466362, int 6.92686653137207\n",
            "ep 12400, total 38.71551513671875, ic 27.275318145751953, ic_v 3.5646283626556396, bc_x0 0.46031951904296875, bc_x1 0.6187382340431213, int 6.79646635055542\n",
            "ep 12500, total 38.67653274536133, ic 27.3095703125, ic_v 3.526658535003662, bc_x0 0.4591441750526428, bc_x1 0.611905038356781, int 6.76921272277832\n",
            "ep 12600, total 46.311859130859375, ic 27.27291488647461, ic_v 3.4482581615448, bc_x0 0.4822063446044922, bc_x1 0.6104329824447632, int 14.498006820678711\n",
            "ep 12700, total 38.57006072998047, ic 27.144607543945312, ic_v 3.558781147003174, bc_x0 0.45989754796028137, bc_x1 0.6152331233024597, int 6.791498184204102\n",
            "ep 12800, total 38.558311462402344, ic 27.176734924316406, ic_v 3.513906717300415, bc_x0 0.45731496810913086, bc_x1 0.6124414205551147, int 6.7978739738464355\n",
            "ep 12900, total 38.471473693847656, ic 27.02427864074707, ic_v 3.571240186691284, bc_x0 0.46101894974708557, bc_x1 0.6138255596160889, int 6.801070213317871\n",
            "ep 13000, total 38.432411193847656, ic 27.050086975097656, ic_v 3.53406023979187, bc_x0 0.4609505534172058, bc_x1 0.6124252676963806, int 6.774847984313965\n",
            "ep 13100, total 49.897708892822266, ic 27.006425857543945, ic_v 3.444892168045044, bc_x0 0.49385425448417664, bc_x1 0.597866415977478, int 18.354625701904297\n",
            "ep 13200, total 38.33469009399414, ic 26.944774627685547, ic_v 3.5423760414123535, bc_x0 0.45995795726776123, bc_x1 0.6105449795722961, int 6.7769927978515625\n",
            "ep 13300, total 39.1774787902832, ic 26.82777976989746, ic_v 3.5439612865448, bc_x0 0.4629570245742798, bc_x1 0.6085664629936218, int 7.7341742515563965\n",
            "ep 13400, total 38.24270248413086, ic 26.874032974243164, ic_v 3.531592607498169, bc_x0 0.46057894825935364, bc_x1 0.6082310676574707, int 6.768223762512207\n",
            "ep 13500, total 38.75890350341797, ic 26.88228416442871, ic_v 3.5039196014404297, bc_x0 0.4736481308937073, bc_x1 0.6110873222351074, int 7.287921905517578\n",
            "ep 13600, total 38.225589752197266, ic 26.708528518676758, ic_v 3.5592200756073, bc_x0 0.4616105258464813, bc_x1 0.6058769226074219, int 6.890312671661377\n",
            "ep 13700, total 38.095428466796875, ic 26.683326721191406, ic_v 3.5584912300109863, bc_x0 0.4614439904689789, bc_x1 0.6051815748214722, int 6.786940574645996\n",
            "ep 13800, total 38.053977966308594, ic 26.675474166870117, ic_v 3.537956714630127, bc_x0 0.4605565667152405, bc_x1 0.6005887985229492, int 6.779361724853516\n",
            "ep 13900, total 38.91744613647461, ic 26.867603302001953, ic_v 3.427964210510254, bc_x0 0.4686560034751892, bc_x1 0.5913419723510742, int 7.561840057373047\n",
            "ep 14000, total 37.9537353515625, ic 26.55447769165039, ic_v 3.554797649383545, bc_x0 0.46276554465293884, bc_x1 0.6031168699264526, int 6.778537273406982\n",
            "ep 14100, total 38.46870422363281, ic 26.765653610229492, ic_v 3.4411840438842773, bc_x0 0.45777052640914917, bc_x1 0.598520815372467, int 7.205532550811768\n",
            "ep 14200, total 37.861717224121094, ic 26.46804428100586, ic_v 3.553011417388916, bc_x0 0.46349671483039856, bc_x1 0.6011568903923035, int 6.775962829589844\n",
            "ep 14300, total 38.44794845581055, ic 26.6940860748291, ic_v 3.5064823627471924, bc_x0 0.4689927101135254, bc_x1 0.5891780853271484, int 7.1891632080078125\n",
            "ep 14400, total 37.76743698120117, ic 26.371768951416016, ic_v 3.557504892349243, bc_x0 0.46424299478530884, bc_x1 0.5989785194396973, int 6.774895191192627\n",
            "ep 14500, total 38.39699935913086, ic 26.614479064941406, ic_v 3.506197452545166, bc_x0 0.4594239294528961, bc_x1 0.5832172632217407, int 7.233638763427734\n",
            "ep 14600, total 37.674110412597656, ic 26.28339195251465, ic_v 3.555757761001587, bc_x0 0.4654678404331207, bc_x1 0.5967663526535034, int 6.772680759429932\n",
            "ep 14700, total 37.727840423583984, ic 26.310808181762695, ic_v 3.518131971359253, bc_x0 0.4587462842464447, bc_x1 0.5921097993850708, int 6.848002910614014\n",
            "ep 14800, total 38.545860290527344, ic 26.151704788208008, ic_v 3.620626449584961, bc_x0 0.469072163105011, bc_x1 0.5980467200279236, int 7.706367015838623\n",
            "ep 14900, total 37.53403091430664, ic 26.16461753845215, ic_v 3.5487823486328125, bc_x0 0.46654370427131653, bc_x1 0.5926755666732788, int 6.7613654136657715\n",
            "ep 15000, total 38.93696594238281, ic 26.368579864501953, ic_v 3.534111499786377, bc_x0 0.47199374437332153, bc_x1 0.577204167842865, int 7.9850311279296875\n",
            "ep 15100, total 37.43658447265625, ic 26.047950744628906, ic_v 3.5617263317108154, bc_x0 0.4682689309120178, bc_x1 0.5912118554115295, int 6.767381191253662\n",
            "ep 15200, total 37.42079162597656, ic 26.069536209106445, ic_v 3.5331082344055176, bc_x0 0.46691662073135376, bc_x1 0.5872171521186829, int 6.763973236083984\n",
            "ep 15300, total 39.86613845825195, ic 25.930288314819336, ic_v 3.6507225036621094, bc_x0 0.4725516140460968, bc_x1 0.5937932729721069, int 9.218735694885254\n",
            "ep 15400, total 37.29561996459961, ic 25.925674438476562, ic_v 3.5556368827819824, bc_x0 0.46988174319267273, bc_x1 0.5871765613555908, int 6.7572021484375\n",
            "ep 15500, total 37.41163635253906, ic 25.969573974609375, ic_v 3.5390703678131104, bc_x0 0.46162280440330505, bc_x1 0.582050621509552, int 6.8592705726623535\n",
            "ep 15600, total 37.227500915527344, ic 25.78030014038086, ic_v 3.576409101486206, bc_x0 0.47135406732559204, bc_x1 0.5851248502731323, int 6.814267635345459\n",
            "ep 15700, total 37.15184783935547, ic 25.8022518157959, ic_v 3.5477678775787354, bc_x0 0.4721200168132782, bc_x1 0.5828408598899841, int 6.746823310852051\n",
            "ep 15800, total 37.152671813964844, ic 25.779172897338867, ic_v 3.5390331745147705, bc_x0 0.4677358567714691, bc_x1 0.5821523666381836, int 6.784532070159912\n",
            "ep 15900, total 37.414119720458984, ic 25.85542869567871, ic_v 3.5388829708099365, bc_x0 0.4712093472480774, bc_x1 0.577822208404541, int 6.970728397369385\n",
            "ep 16000, total 37.126556396484375, ic 25.601158142089844, ic_v 3.5973381996154785, bc_x0 0.4737611413002014, bc_x1 0.581687331199646, int 6.872564315795898\n",
            "ep 16100, total 36.95625686645508, ic 25.588876724243164, ic_v 3.564229726791382, bc_x0 0.47442084550857544, bc_x1 0.5784807801246643, int 6.7502007484436035\n",
            "ep 16200, total 36.938812255859375, ic 25.62042808532715, ic_v 3.5243635177612305, bc_x0 0.46932393312454224, bc_x1 0.5718936920166016, int 6.752760410308838\n",
            "ep 16300, total 36.9035530090332, ic 25.449769973754883, ic_v 3.597797393798828, bc_x0 0.4760498106479645, bc_x1 0.5778917074203491, int 6.801997661590576\n",
            "ep 16400, total 36.815486907958984, ic 25.491195678710938, ic_v 3.5445828437805176, bc_x0 0.4768267571926117, bc_x1 0.5747542977333069, int 6.728085041046143\n",
            "ep 16500, total 45.90652084350586, ic 25.461429595947266, ic_v 3.465045928955078, bc_x0 0.5088657736778259, bc_x1 0.5664703845977783, int 15.904662132263184\n",
            "ep 16600, total 36.71335220336914, ic 25.35199737548828, ic_v 3.569329023361206, bc_x0 0.4777454733848572, bc_x1 0.573759913444519, int 6.740474224090576\n",
            "ep 16700, total 36.76504898071289, ic 25.506193161010742, ic_v 3.495351791381836, bc_x0 0.4690399467945099, bc_x1 0.5706390142440796, int 6.723777770996094\n",
            "ep 16800, total 36.61185836791992, ic 25.234390258789062, ic_v 3.579498291015625, bc_x0 0.4798241853713989, bc_x1 0.5718255639076233, int 6.746273517608643\n",
            "ep 16900, total 36.56995391845703, ic 25.24104118347168, ic_v 3.5516698360443115, bc_x0 0.4805067181587219, bc_x1 0.5682984590530396, int 6.728391647338867\n",
            "ep 17000, total 50.3330192565918, ic 25.270580291748047, ic_v 3.776076555252075, bc_x0 0.49533042311668396, bc_x1 0.5895792841911316, int 20.201406478881836\n",
            "ep 17100, total 36.47072219848633, ic 25.14653778076172, ic_v 3.553866147994995, bc_x0 0.4815014898777008, bc_x1 0.5678701400756836, int 6.720897674560547\n",
            "ep 17200, total 36.444374084472656, ic 25.00460433959961, ic_v 3.6105098724365234, bc_x0 0.48290663957595825, bc_x1 0.5679439306259155, int 6.778364658355713\n",
            "ep 17300, total 36.37302017211914, ic 25.06593132019043, ic_v 3.5467615127563477, bc_x0 0.48382627964019775, bc_x1 0.5645800828933716, int 6.71187686920166\n",
            "ep 17400, total 36.4859733581543, ic 24.914417266845703, ic_v 3.6171438694000244, bc_x0 0.4854161739349365, bc_x1 0.5668810606002808, int 6.90207052230835\n",
            "ep 17500, total 36.27028274536133, ic 24.941892623901367, ic_v 3.561518907546997, bc_x0 0.4854550361633301, bc_x1 0.5629168152809143, int 6.718453407287598\n",
            "ep 17600, total 37.94898986816406, ic 25.0825252532959, ic_v 3.571211338043213, bc_x0 0.5016210675239563, bc_x1 0.559808075428009, int 8.233779907226562\n",
            "ep 17700, total 36.160987854003906, ic 24.79855728149414, ic_v 3.583923101425171, bc_x0 0.4873178005218506, bc_x1 0.5616080164909363, int 6.729538440704346\n",
            "ep 17800, total 36.12688446044922, ic 24.831941604614258, ic_v 3.5371429920196533, bc_x0 0.48766419291496277, bc_x1 0.5553902387619019, int 6.714702129364014\n",
            "ep 17900, total 36.76626205444336, ic 24.65616226196289, ic_v 3.574355363845825, bc_x0 0.48991259932518005, bc_x1 0.5582159161567688, int 7.48756742477417\n",
            "ep 18000, total 36.0073356628418, ic 24.683198928833008, ic_v 3.5633440017700195, bc_x0 0.4903605580329895, bc_x1 0.5573976635932922, int 6.712991237640381\n",
            "ep 18100, total 36.00387191772461, ic 24.676250457763672, ic_v 3.540325164794922, bc_x0 0.4858021140098572, bc_x1 0.5555444955825806, int 6.7459025382995605\n",
            "ep 18200, total 36.37497329711914, ic 24.744354248046875, ic_v 3.5366930961608887, bc_x0 0.5014878511428833, bc_x1 0.550353467464447, int 7.042036533355713\n",
            "ep 18300, total 35.84025573730469, ic 24.47642707824707, ic_v 3.5910069942474365, bc_x0 0.4932590126991272, bc_x1 0.5549578666687012, int 6.724557399749756\n",
            "ep 18400, total 35.79737091064453, ic 24.504682540893555, ic_v 3.546041965484619, bc_x0 0.49547475576400757, bc_x1 0.5521816611289978, int 6.698943614959717\n",
            "ep 18500, total 35.968589782714844, ic 24.709121704101562, ic_v 3.4931652545928955, bc_x0 0.5157009363174438, bc_x1 0.569901168346405, int 6.680656433105469\n",
            "ep 18600, total 35.681724548339844, ic 24.367477416992188, ic_v 3.5639944076538086, bc_x0 0.49598759412765503, bc_x1 0.5512996912002563, int 6.702918529510498\n",
            "ep 18700, total 37.03248977661133, ic 24.53253173828125, ic_v 3.452202081680298, bc_x0 0.5042696595191956, bc_x1 0.5376770496368408, int 8.005764961242676\n",
            "ep 18800, total 35.564788818359375, ic 24.225967407226562, ic_v 3.578223943710327, bc_x0 0.49876564741134644, bc_x1 0.5493367314338684, int 6.712453365325928\n",
            "ep 18900, total 35.5140495300293, ic 24.22205924987793, ic_v 3.5522522926330566, bc_x0 0.5005382299423218, bc_x1 0.5462006330490112, int 6.692954063415527\n",
            "ep 19000, total 36.1544189453125, ic 24.3956356048584, ic_v 3.45634126663208, bc_x0 0.49794548749923706, bc_x1 0.5367427468299866, int 7.267709732055664\n",
            "ep 19100, total 35.393394470214844, ic 24.05682945251465, ic_v 3.5787410736083984, bc_x0 0.5018514394760132, bc_x1 0.5460331439971924, int 6.709897041320801\n",
            "ep 19200, total 35.35255432128906, ic 24.10978889465332, ic_v 3.5183796882629395, bc_x0 0.5012792944908142, bc_x1 0.5392346382141113, int 6.683826446533203\n",
            "ep 19300, total 35.83565139770508, ic 23.91378402709961, ic_v 3.564174175262451, bc_x0 0.5048136711120605, bc_x1 0.5410577058792114, int 7.311775207519531\n",
            "ep 19400, total 35.22687530517578, ic 23.956241607666016, ic_v 3.540992259979248, bc_x0 0.504731297492981, bc_x1 0.5416297912597656, int 6.683233737945557\n",
            "ep 19500, total 39.60419845581055, ic 23.983360290527344, ic_v 3.494492292404175, bc_x0 0.5403615236282349, bc_x1 0.5401798486709595, int 11.045756340026855\n",
            "ep 19600, total 35.105995178222656, ic 23.82958984375, ic_v 3.5438973903656006, bc_x0 0.5066629648208618, bc_x1 0.539759635925293, int 6.686038494110107\n",
            "ep 19700, total 35.63529586791992, ic 24.043010711669922, ic_v 3.439359664916992, bc_x0 0.509700357913971, bc_x1 0.5246057510375977, int 7.1185760498046875\n",
            "ep 19800, total 34.981178283691406, ic 23.678081512451172, ic_v 3.5595481395721436, bc_x0 0.509358286857605, bc_x1 0.5380503535270691, int 6.696094989776611\n",
            "ep 19900, total 35.0609016418457, ic 23.858539581298828, ic_v 3.409442186355591, bc_x0 0.4936852753162384, bc_x1 0.5296106338500977, int 6.769577503204346\n",
            "ep 20000, total 34.86142349243164, ic 23.579334259033203, ic_v 3.5442728996276855, bc_x0 0.5117079615592957, bc_x1 0.5357136726379395, int 6.690348148345947\n",
            "ep 20100, total 34.97380828857422, ic 23.721153259277344, ic_v 3.4254910945892334, bc_x0 0.5023590326309204, bc_x1 0.5304633378982544, int 6.79429817199707\n",
            "ep 20200, total 34.73613739013672, ic 23.447891235351562, ic_v 3.548067569732666, bc_x0 0.5137598514556885, bc_x1 0.5336406230926514, int 6.69273042678833\n",
            "ep 20300, total 34.750328063964844, ic 23.571029663085938, ic_v 3.4308414459228516, bc_x0 0.5027282238006592, bc_x1 0.5229854583740234, int 6.722696304321289\n",
            "ep 20400, total 34.61109924316406, ic 23.331064224243164, ic_v 3.535705804824829, bc_x0 0.5162509679794312, bc_x1 0.5309802293777466, int 6.697055339813232\n",
            "ep 20500, total 34.55284118652344, ic 23.318740844726562, ic_v 3.5140228271484375, bc_x0 0.5176799297332764, bc_x1 0.5287545323371887, int 6.673593997955322\n",
            "ep 20600, total 34.565025329589844, ic 23.355295181274414, ic_v 3.4387691020965576, bc_x0 0.5097203254699707, bc_x1 0.5279991030693054, int 6.733198165893555\n",
            "ep 20700, total 39.28730773925781, ic 23.440017700195312, ic_v 3.5621280670166016, bc_x0 0.5422198176383972, bc_x1 0.5558575987815857, int 11.18703556060791\n",
            "ep 20800, total 34.347511291503906, ic 23.12416648864746, ic_v 3.502530336380005, bc_x0 0.5199991464614868, bc_x1 0.5264970064163208, int 6.674269676208496\n",
            "ep 20900, total 34.341552734375, ic 23.195215225219727, ic_v 3.410151243209839, bc_x0 0.5108743906021118, bc_x1 0.5185657143592834, int 6.706699848175049\n",
            "ep 21000, total 34.55325698852539, ic 22.96731948852539, ic_v 3.529209613800049, bc_x0 0.524057149887085, bc_x1 0.5274043083190918, int 7.005221366882324\n",
            "ep 21100, total 34.14728546142578, ic 22.96942901611328, ic_v 3.4711315631866455, bc_x0 0.5224081873893738, bc_x1 0.521873414516449, int 6.662397384643555\n",
            "ep 21200, total 35.16228103637695, ic 23.325706481933594, ic_v 3.4116389751434326, bc_x0 0.535860002040863, bc_x1 0.5077401399612427, int 7.381294250488281\n",
            "ep 21300, total 34.0087776184082, ic 22.8428955078125, ic_v 3.458258867263794, bc_x0 0.5249887108802795, bc_x1 0.5204262733459473, int 6.662160396575928\n",
            "ep 21400, total 33.949134826660156, ic 22.843324661254883, ic_v 3.411478042602539, bc_x0 0.5202764272689819, bc_x1 0.5152527689933777, int 6.658761501312256\n",
            "ep 21500, total 34.82011795043945, ic 22.885700225830078, ic_v 3.4488818645477295, bc_x0 0.5347309112548828, bc_x1 0.5074790120124817, int 7.443276405334473\n",
            "ep 21600, total 33.79825973510742, ic 22.60219955444336, ic_v 3.466874599456787, bc_x0 0.5288900136947632, bc_x1 0.5179262161254883, int 6.682326316833496\n",
            "ep 21700, total 33.733795166015625, ic 22.65850830078125, ic_v 3.4004218578338623, bc_x0 0.527580201625824, bc_x1 0.5141127705574036, int 6.633124351501465\n",
            "ep 21800, total 50.37578201293945, ic 22.504528045654297, ic_v 3.353321075439453, bc_x0 0.5677440762519836, bc_x1 0.4982837438583374, int 23.45185661315918\n",
            "ep 21900, total 33.5848503112793, ic 22.483633041381836, ic_v 3.408818244934082, bc_x0 0.5302393436431885, bc_x1 0.5133826732635498, int 6.648733139038086\n",
            "ep 22000, total 33.632080078125, ic 22.606159210205078, ic_v 3.295945644378662, bc_x0 0.5288684964179993, bc_x1 0.5069215297698975, int 6.6941399574279785\n",
            "ep 22100, total 33.53023147583008, ic 22.2890682220459, ic_v 3.4075798988342285, bc_x0 0.5341894626617432, bc_x1 0.5111454725265503, int 6.788199424743652\n",
            "ep 22200, total 33.365726470947266, ic 22.30933952331543, ic_v 3.373095750808716, bc_x0 0.5324941873550415, bc_x1 0.5090279579162598, int 6.641721725463867\n",
            "ep 22300, total 33.7330322265625, ic 22.44934844970703, ic_v 3.242088794708252, bc_x0 0.5301482677459717, bc_x1 0.501679003238678, int 7.009723663330078\n",
            "ep 22400, total 33.206504821777344, ic 22.114639282226562, ic_v 3.383028030395508, bc_x0 0.5367293357849121, bc_x1 0.5089208483695984, int 6.663141250610352\n",
            "ep 22500, total 33.143898010253906, ic 22.144805908203125, ic_v 3.3303864002227783, bc_x0 0.5347446203231812, bc_x1 0.5052576661109924, int 6.62865686416626\n",
            "ep 22600, total 34.00090408325195, ic 22.28205680847168, ic_v 3.268138885498047, bc_x0 0.5587186813354492, bc_x1 0.48844993114471436, int 7.403492450714111\n",
            "ep 22700, total 32.98407745361328, ic 21.955028533935547, ic_v 3.3365163803100586, bc_x0 0.538393497467041, bc_x1 0.5051441788673401, int 6.6489458084106445\n",
            "ep 22800, total 32.91441345214844, ic 21.952613830566406, ic_v 3.2934627532958984, bc_x0 0.5367563962936401, bc_x1 0.49916502833366394, int 6.632369518280029\n",
            "ep 22900, total 33.03119659423828, ic 21.93857192993164, ic_v 3.2305660247802734, bc_x0 0.5366846919059753, bc_x1 0.503450334072113, int 6.82188081741333\n",
            "ep 23000, total 33.097049713134766, ic 21.91243553161621, ic_v 3.2076079845428467, bc_x0 0.5394879579544067, bc_x1 0.4985438287258148, int 6.938928127288818\n",
            "ep 23100, total 33.39029312133789, ic 21.895004272460938, ic_v 3.248673677444458, bc_x0 0.5435090065002441, bc_x1 0.4977504014968872, int 7.205309867858887\n",
            "ep 23200, total 35.030338287353516, ic 21.78399658203125, ic_v 3.161161184310913, bc_x0 0.5627831816673279, bc_x1 0.49899858236312866, int 9.023357391357422\n",
            "ep 23300, total 32.55339813232422, ic 21.53322410583496, ic_v 3.2636215686798096, bc_x0 0.544127345085144, bc_x1 0.4983428120613098, int 6.714033603668213\n",
            "ep 23400, total 32.426937103271484, ic 21.50469207763672, ic_v 3.243342399597168, bc_x0 0.5429890155792236, bc_x1 0.4968312978744507, int 6.639033794403076\n",
            "ep 23500, total 32.421958923339844, ic 21.627166748046875, ic_v 3.1135287284851074, bc_x0 0.5308016538619995, bc_x1 0.496448278427124, int 6.653966426849365\n",
            "ep 23600, total 32.26169204711914, ic 21.33243179321289, ic_v 3.2333807945251465, bc_x0 0.5476511120796204, bc_x1 0.49605903029441833, int 6.652125358581543\n",
            "ep 23700, total 32.192142486572266, ic 21.358787536621094, ic_v 3.1854610443115234, bc_x0 0.5437771677970886, bc_x1 0.48982733488082886, int 6.614243030548096\n",
            "ep 23800, total 33.47815704345703, ic 21.602001190185547, ic_v 3.0710506439208984, bc_x0 0.5631575584411621, bc_x1 0.48157554864883423, int 7.7603278160095215\n",
            "ep 23900, total 32.020076751708984, ic 21.159061431884766, ic_v 3.18284010887146, bc_x0 0.5483758449554443, bc_x1 0.4922696352005005, int 6.637484550476074\n",
            "ep 24000, total 32.01233673095703, ic 21.23822593688965, ic_v 3.081937789916992, bc_x0 0.5383388996124268, bc_x1 0.49435630440711975, int 6.65942907333374\n",
            "ep 24100, total 31.97730255126953, ic 20.964710235595703, ic_v 3.168727397918701, bc_x0 0.5521859526634216, bc_x1 0.4901600182056427, int 6.80147647857666\n",
            "ep 24200, total 31.776660919189453, ic 20.98758316040039, ic_v 3.1310527324676514, bc_x0 0.5478850603103638, bc_x1 0.48809245228767395, int 6.622003078460693\n",
            "ep 24300, total 32.78910446166992, ic 21.21538734436035, ic_v 2.944936513900757, bc_x0 0.5532148480415344, bc_x1 0.48024865984916687, int 7.595272541046143\n",
            "ep 24400, total 31.60637092590332, ic 20.824987411499023, ic_v 3.114999771118164, bc_x0 0.5521894693374634, bc_x1 0.4865923821926117, int 6.627557277679443\n",
            "ep 24500, total 34.68233871459961, ic 21.181970596313477, ic_v 2.995110034942627, bc_x0 0.6281144618988037, bc_x1 0.5070102214813232, int 9.370088577270508\n",
            "ep 24600, total 31.480653762817383, ic 20.85639190673828, ic_v 3.0274219512939453, bc_x0 0.5459491014480591, bc_x1 0.48176196217536926, int 6.569084167480469\n",
            "ep 24700, total 31.369483947753906, ic 20.59900665283203, ic_v 3.092323064804077, bc_x0 0.556208610534668, bc_x1 0.48491179943084717, int 6.636989593505859\n",
            "ep 24800, total 31.446765899658203, ic 20.724117279052734, ic_v 2.9541168212890625, bc_x0 0.5537124872207642, bc_x1 0.48330509662628174, int 6.731469631195068\n",
            "ep 24900, total 31.225635528564453, ic 20.435646057128906, ic_v 3.0822694301605225, bc_x0 0.5558867454528809, bc_x1 0.48331159353256226, int 6.668477535247803\n",
            "ep 25000, total 31.120895385742188, ic 20.41808319091797, ic_v 3.0388832092285156, bc_x0 0.5527065992355347, bc_x1 0.47977742552757263, int 6.6314005851745605\n",
            "ep 25100, total 31.05282211303711, ic 20.379234313964844, ic_v 3.004882574081421, bc_x0 0.5522252321243286, bc_x1 0.4772647023200989, int 6.639172554016113\n",
            "ep 25200, total 30.94814682006836, ic 20.302278518676758, ic_v 2.992116928100586, bc_x0 0.5530625581741333, bc_x1 0.47584769129753113, int 6.62479829788208\n",
            "ep 25300, total 30.899560928344727, ic 20.198040008544922, ic_v 2.990676164627075, bc_x0 0.5537389516830444, bc_x1 0.4744766652584076, int 6.6825852394104\n",
            "ep 25400, total 30.770366668701172, ic 20.097431182861328, ic_v 2.9902567863464355, bc_x0 0.5555803775787354, bc_x1 0.4754730761051178, int 6.651579856872559\n",
            "ep 25500, total 30.681013107299805, ic 20.100181579589844, ic_v 2.9537079334259033, bc_x0 0.5523610711097717, bc_x1 0.47244933247566223, int 6.602268695831299\n",
            "ep 25600, total 30.708377838134766, ic 20.104475021362305, ic_v 2.8684961795806885, bc_x0 0.5501234531402588, bc_x1 0.4681890904903412, int 6.7170515060424805\n",
            "ep 25700, total 31.87937355041504, ic 20.174766540527344, ic_v 2.9668993949890137, bc_x0 0.5853888392448425, bc_x1 0.4455423057079315, int 7.706733226776123\n",
            "ep 25800, total 30.400197982788086, ic 19.7998104095459, ic_v 2.94116473197937, bc_x0 0.5581302046775818, bc_x1 0.4720105528831482, int 6.6290388107299805\n",
            "ep 25900, total 30.328027725219727, ic 19.8059024810791, ic_v 2.898648977279663, bc_x0 0.5524320602416992, bc_x1 0.46719783544540405, int 6.603803634643555\n",
            "ep 26000, total 30.387500762939453, ic 19.82439613342285, ic_v 2.815887689590454, bc_x0 0.5570722818374634, bc_x1 0.4716889560222626, int 6.718411922454834\n",
            "ep 26100, total 33.30329513549805, ic 19.748889923095703, ic_v 3.06640625, bc_x0 0.5708741545677185, bc_x1 0.48396769165992737, int 9.433114051818848\n",
            "ep 26200, total 30.036693572998047, ic 19.484439849853516, ic_v 2.8943119049072266, bc_x0 0.558677077293396, bc_x1 0.46781694889068604, int 6.63140344619751\n",
            "ep 26300, total 29.981346130371094, ic 19.55146598815918, ic_v 2.833203077316284, bc_x0 0.5489489436149597, bc_x1 0.4616782069206238, int 6.586008548736572\n",
            "ep 26400, total 32.599464416503906, ic 19.65441131591797, ic_v 2.7453930377960205, bc_x0 0.5849374532699585, bc_x1 0.44143640995025635, int 9.173238754272461\n",
            "ep 26500, total 29.77239990234375, ic 19.259666442871094, ic_v 2.857788324356079, bc_x0 0.5594617128372192, bc_x1 0.46484827995300293, int 6.6305928230285645\n",
            "ep 26600, total 29.754732131958008, ic 19.422433853149414, ic_v 2.7381725311279297, bc_x0 0.545596182346344, bc_x1 0.45769867300987244, int 6.590785503387451\n",
            "ep 26700, total 29.598270416259766, ic 19.071352005004883, ic_v 2.8457226753234863, bc_x0 0.5621517896652222, bc_x1 0.46324166655540466, int 6.655760288238525\n",
            "ep 26800, total 29.530988693237305, ic 19.11446762084961, ic_v 2.797820806503296, bc_x0 0.5532473921775818, bc_x1 0.45908814668655396, int 6.606321334838867\n",
            "ep 26900, total 29.793607711791992, ic 19.198577880859375, ic_v 2.6761040687561035, bc_x0 0.563775897026062, bc_x1 0.46083515882492065, int 6.8942718505859375\n",
            "ep 27000, total 41.18934631347656, ic 18.962596893310547, ic_v 3.1324098110198975, bc_x0 0.5729131102561951, bc_x1 0.47210752964019775, int 18.049270629882812\n",
            "ep 27100, total 29.49555778503418, ic 18.77896499633789, ic_v 2.782094717025757, bc_x0 0.5592983365058899, bc_x1 0.4575992226600647, int 6.9175567626953125\n",
            "ep 27200, total 29.163036346435547, ic 18.748634338378906, ic_v 2.7716619968414307, bc_x0 0.5559403896331787, bc_x1 0.4565995931625366, int 6.630154609680176\n",
            "ep 27300, total 29.109333038330078, ic 18.76016616821289, ic_v 2.720062494277954, bc_x0 0.5506823062896729, bc_x1 0.4548874497413635, int 6.623490810394287\n",
            "ep 27400, total 29.2439022064209, ic 18.71856689453125, ic_v 2.687211513519287, bc_x0 0.5550827980041504, bc_x1 0.45806631445884705, int 6.824930191040039\n",
            "ep 27500, total 30.306974411010742, ic 18.626863479614258, ic_v 2.779900074005127, bc_x0 0.5693352818489075, bc_x1 0.4490048289299011, int 7.881825923919678\n",
            "ep 27600, total 30.06841278076172, ic 18.634071350097656, ic_v 2.7174110412597656, bc_x0 0.5751171708106995, bc_x1 0.44540315866470337, int 7.696364879608154\n",
            "ep 27700, total 29.003917694091797, ic 18.453006744384766, ic_v 2.702991247177124, bc_x0 0.56622314453125, bc_x1 0.4501446485519409, int 6.831508636474609\n",
            "ep 27800, total 29.20614242553711, ic 18.40008544921875, ic_v 2.618478298187256, bc_x0 0.5606117844581604, bc_x1 0.4495837688446045, int 7.177339553833008\n",
            "ep 27900, total 28.851776123046875, ic 18.347858428955078, ic_v 2.619079828262329, bc_x0 0.5546183586120605, bc_x1 0.4518674314022064, int 6.878307819366455\n",
            "ep 28000, total 28.84964370727539, ic 18.33092498779297, ic_v 2.6463897228240967, bc_x0 0.5646486282348633, bc_x1 0.445729523897171, int 6.861908435821533\n",
            "ep 28100, total 38.367225646972656, ic 18.02600860595703, ic_v 2.8699042797088623, bc_x0 0.569130003452301, bc_x1 0.4591463804244995, int 16.442991256713867\n",
            "ep 28200, total 28.435245513916016, ic 17.9375057220459, ic_v 2.691861629486084, bc_x0 0.5577510595321655, bc_x1 0.4478961229324341, int 6.8001861572265625\n",
            "ep 28300, total 28.188549041748047, ic 17.85472869873047, ic_v 2.671116352081299, bc_x0 0.5568228960037231, bc_x1 0.44613537192344666, int 6.659702777862549\n",
            "ep 28400, total 28.179161071777344, ic 18.022602081298828, ic_v 2.5843677520751953, bc_x0 0.5428478717803955, bc_x1 0.4393249750137329, int 6.589973449707031\n",
            "ep 28500, total 28.0236759185791, ic 17.676036834716797, ic_v 2.666041612625122, bc_x0 0.5615500807762146, bc_x1 0.44571298360824585, int 6.674289703369141\n",
            "ep 28600, total 27.97960662841797, ic 17.746259689331055, ic_v 2.607133150100708, bc_x0 0.5492228865623474, bc_x1 0.4412950873374939, int 6.635651588439941\n",
            "ep 28700, total 28.652172088623047, ic 17.82099151611328, ic_v 2.5914931297302246, bc_x0 0.5575199723243713, bc_x1 0.4428451657295227, int 7.239278316497803\n",
            "ep 28800, total 27.790361404418945, ic 17.47298812866211, ic_v 2.6311237812042236, bc_x0 0.5590271353721619, bc_x1 0.44243162870407104, int 6.684745788574219\n",
            "ep 28900, total 27.713838577270508, ic 17.463809967041016, ic_v 2.607778310775757, bc_x0 0.5529026389122009, bc_x1 0.44019368290901184, int 6.649110317230225\n",
            "ep 29000, total 27.703170776367188, ic 17.47350311279297, ic_v 2.5519866943359375, bc_x0 0.5482792258262634, bc_x1 0.4386705458164215, int 6.6906867027282715\n",
            "ep 29100, total 28.270965576171875, ic 17.488744735717773, ic_v 2.499439239501953, bc_x0 0.5573185682296753, bc_x1 0.43336373567581177, int 7.292056560516357\n",
            "ep 29200, total 49.72420120239258, ic 17.17051887512207, ic_v 2.560845375061035, bc_x0 0.5782780647277832, bc_x1 0.42651617527008057, int 28.98799705505371\n",
            "ep 29300, total 27.37787628173828, ic 17.150142669677734, ic_v 2.5773518085479736, bc_x0 0.5542209148406982, bc_x1 0.43667280673980713, int 6.659445762634277\n",
            "ep 29400, total 27.333898544311523, ic 17.165769577026367, ic_v 2.526071786880493, bc_x0 0.5476680994033813, bc_x1 0.43451011180877686, int 6.659836769104004\n",
            "ep 29500, total 27.5472469329834, ic 17.150915145874023, ic_v 2.4639785289764404, bc_x0 0.5503842830657959, bc_x1 0.4375685453414917, int 6.944356441497803\n",
            "ep 29600, total 29.869693756103516, ic 17.024486541748047, ic_v 2.564476490020752, bc_x0 0.5789821147918701, bc_x1 0.42232128977775574, int 9.279383659362793\n",
            "ep 29700, total 44.81910705566406, ic 16.865312576293945, ic_v 2.5360867977142334, bc_x0 0.5803608298301697, bc_x1 0.424293577671051, int 24.413009643554688\n",
            "ep 29800, total 27.087785720825195, ic 16.74663734436035, ic_v 2.559307813644409, bc_x0 0.5554831624031067, bc_x1 0.4340479373931885, int 6.792267322540283\n",
            "ep 29900, total 26.903322219848633, ic 16.739776611328125, ic_v 2.523834466934204, bc_x0 0.5506961345672607, bc_x1 0.4311754107475281, int 6.657796382904053\n",
            "ep 30000, total 26.920164108276367, ic 16.763032913208008, ic_v 2.4685099124908447, bc_x0 0.5443879961967468, bc_x1 0.42856070399284363, int 6.715630054473877\n",
            "ep 30100, total 27.371347427368164, ic 16.771780014038086, ic_v 2.4425909519195557, bc_x0 0.5546267032623291, bc_x1 0.4314638674259186, int 7.170843601226807\n",
            "ep 30200, total 30.31597137451172, ic 16.442792892456055, ic_v 2.5022106170654297, bc_x0 0.5582805871963501, bc_x1 0.42708438634872437, int 10.38555908203125\n",
            "ep 30300, total 26.687456130981445, ic 16.41326904296875, ic_v 2.5053906440734863, bc_x0 0.5527902245521545, bc_x1 0.4290165901184082, int 6.786946773529053\n",
            "ep 30400, total 27.73318862915039, ic 16.347732543945312, ic_v 2.539741039276123, bc_x0 0.5529093146324158, bc_x1 0.43070390820503235, int 7.862056732177734\n",
            "ep 30500, total 26.973127365112305, ic 16.440340042114258, ic_v 2.442094564437866, bc_x0 0.5654948949813843, bc_x1 0.4369443655014038, int 7.0882086753845215\n",
            "ep 30600, total 26.94138526916504, ic 16.288108825683594, ic_v 2.473407030105591, bc_x0 0.5531111359596252, bc_x1 0.4283483028411865, int 7.198364734649658\n",
            "ep 30700, total 33.30699920654297, ic 16.173755645751953, ic_v 2.4448585510253906, bc_x0 0.5554122924804688, bc_x1 0.4217990040779114, int 13.711127281188965\n",
            "ep 30800, total 30.475414276123047, ic 16.124248504638672, ic_v 2.5385074615478516, bc_x0 0.552963137626648, bc_x1 0.4300110340118408, int 10.829639434814453\n",
            "ep 30900, total 26.309497833251953, ic 16.06886100769043, ic_v 2.41205096244812, bc_x0 0.544903039932251, bc_x1 0.42330873012542725, int 6.860330581665039\n",
            "ep 31000, total 26.04802703857422, ic 15.983936309814453, ic_v 2.443898916244507, bc_x0 0.546044111251831, bc_x1 0.4238070547580719, int 6.65029764175415\n",
            "ep 31100, total 25.994592666625977, ic 15.914301872253418, ic_v 2.4361844062805176, bc_x0 0.5455459356307983, bc_x1 0.4217985272407532, int 6.676717758178711\n",
            "ep 31200, total 25.951074600219727, ic 15.910993576049805, ic_v 2.404365301132202, bc_x0 0.5413551926612854, bc_x1 0.4200817346572876, int 6.674234867095947\n",
            "ep 31300, total 27.585079193115234, ic 15.980124473571777, ic_v 2.4569599628448486, bc_x0 0.5690212249755859, bc_x1 0.40402209758758545, int 8.174907684326172\n",
            "ep 31400, total 25.763513565063477, ic 15.726264953613281, ic_v 2.4345383644104004, bc_x0 0.5481380820274353, bc_x1 0.4216209650039673, int 6.632907390594482\n",
            "ep 31500, total 26.168663024902344, ic 15.828834533691406, ic_v 2.329132318496704, bc_x0 0.551177978515625, bc_x1 0.4111115336418152, int 7.04836368560791\n",
            "ep 31600, total 25.63650131225586, ic 15.509629249572754, ic_v 2.448969602584839, bc_x0 0.5504578948020935, bc_x1 0.42194947600364685, int 6.705451011657715\n",
            "ep 31700, total 25.559885025024414, ic 15.53464412689209, ic_v 2.418881893157959, bc_x0 0.5436245799064636, bc_x1 0.41851329803466797, int 6.644176959991455\n",
            "ep 31800, total 25.64177894592285, ic 15.55737590789795, ic_v 2.361497402191162, bc_x0 0.5381990671157837, bc_x1 0.41868525743484497, int 6.7659783363342285\n",
            "ep 31900, total 25.634172439575195, ic 15.478913307189941, ic_v 2.372901678085327, bc_x0 0.5462859869003296, bc_x1 0.41438955068588257, int 6.821639060974121\n",
            "ep 32000, total 27.00086212158203, ic 15.481599807739258, ic_v 2.3211793899536133, bc_x0 0.5530318021774292, bc_x1 0.41151896119117737, int 8.233488082885742\n",
            "ep 32100, total 43.23797607421875, ic 15.177342414855957, ic_v 2.408918857574463, bc_x0 0.5572490692138672, bc_x1 0.4099956452846527, int 24.68442153930664\n",
            "ep 32200, total 25.199979782104492, ic 15.162701606750488, ic_v 2.4168903827667236, bc_x0 0.5444591641426086, bc_x1 0.4175373613834381, int 6.6583476066589355\n",
            "ep 32300, total 25.140003204345703, ic 15.145041465759277, ic_v 2.396617889404297, bc_x0 0.5410358905792236, bc_x1 0.4147756099700928, int 6.642486572265625\n",
            "ep 32400, total 25.139122009277344, ic 15.158470153808594, ic_v 2.347853183746338, bc_x0 0.5360337495803833, bc_x1 0.4132685363292694, int 6.683452606201172\n",
            "ep 32500, total 25.686704635620117, ic 15.149887084960938, ic_v 2.2958173751831055, bc_x0 0.5478906631469727, bc_x1 0.40718403458595276, int 7.285881042480469\n",
            "ep 32600, total 45.0654182434082, ic 14.985214233398438, ic_v 2.9892330169677734, bc_x0 0.5577000379562378, bc_x1 0.42763131856918335, int 26.105592727661133\n",
            "ep 32700, total 24.84782600402832, ic 14.872160911560059, ic_v 2.390660285949707, bc_x0 0.5416289567947388, bc_x1 0.4136519432067871, int 6.629678249359131\n",
            "ep 32800, total 24.83174705505371, ic 14.911243438720703, ic_v 2.344215154647827, bc_x0 0.5333722233772278, bc_x1 0.40955865383148193, int 6.633312225341797\n",
            "ep 32900, total 24.82584571838379, ic 14.898051261901855, ic_v 2.3088343143463135, bc_x0 0.5447965860366821, bc_x1 0.4069250524044037, int 6.66719388961792\n",
            "ep 33000, total 37.66101837158203, ic 14.93968391418457, ic_v 2.2899818420410156, bc_x0 0.5604214668273926, bc_x1 0.43049824237823486, int 19.440383911132812\n",
            "ep 33100, total 24.5819149017334, ic 14.615333557128906, ic_v 2.379049777984619, bc_x0 0.540849506855011, bc_x1 0.41176721453666687, int 6.634870529174805\n",
            "ep 33200, total 24.534257888793945, ic 14.613862037658691, ic_v 2.355560541152954, bc_x0 0.535831093788147, bc_x1 0.4078960418701172, int 6.621063232421875\n",
            "ep 33300, total 24.52594566345215, ic 14.56154727935791, ic_v 2.336650848388672, bc_x0 0.5352881550788879, bc_x1 0.4077659845352173, int 6.68464994430542\n",
            "ep 33400, total 24.43869400024414, ic 14.530742645263672, ic_v 2.3276782035827637, bc_x0 0.5323959589004517, bc_x1 0.40753576159477234, int 6.6402974128723145\n",
            "ep 33500, total 24.384248733520508, ic 14.476616859436035, ic_v 2.309670925140381, bc_x0 0.5321484208106995, bc_x1 0.4066712260246277, int 6.659096717834473\n",
            "ep 33600, total 24.47579002380371, ic 14.501955032348633, ic_v 2.282327651977539, bc_x0 0.527521014213562, bc_x1 0.40483877062797546, int 6.759103775024414\n",
            "ep 33700, total 24.664073944091797, ic 14.497288703918457, ic_v 2.3940539360046387, bc_x0 0.5541334748268127, bc_x1 0.40041017532348633, int 6.81814432144165\n",
            "ep 33800, total 24.115358352661133, ic 14.21060848236084, ic_v 2.3564672470092773, bc_x0 0.5376724004745483, bc_x1 0.4078180193901062, int 6.602749347686768\n",
            "ep 33900, total 24.127025604248047, ic 14.375349998474121, ic_v 2.2665657997131348, bc_x0 0.5212144255638123, bc_x1 0.4002779722213745, int 6.563572883605957\n",
            "ep 34000, total 28.907392501831055, ic 14.031278610229492, ic_v 2.3535242080688477, bc_x0 0.5419914722442627, bc_x1 0.40388333797454834, int 11.576669692993164\n",
            "ep 34100, total 23.934659957885742, ic 14.072446823120117, ic_v 2.340167999267578, bc_x0 0.5343096256256104, bc_x1 0.40465492010116577, int 6.583035469055176\n",
            "ep 34200, total 23.925722122192383, ic 14.106260299682617, ic_v 2.2867653369903564, bc_x0 0.5269287824630737, bc_x1 0.40074312686920166, int 6.60498046875\n",
            "ep 34300, total 24.133426666259766, ic 14.109354972839355, ic_v 2.2736728191375732, bc_x0 0.5393010973930359, bc_x1 0.39797043800354004, int 6.813083171844482\n",
            "ep 34400, total 33.982582092285156, ic 14.058849334716797, ic_v 2.2828922271728516, bc_x0 0.5509803891181946, bc_x1 0.41566431522369385, int 16.674148559570312\n",
            "ep 34500, total 29.82221221923828, ic 13.816423416137695, ic_v 2.4171533584594727, bc_x0 0.5380043983459473, bc_x1 0.4082183241844177, int 12.64236831665039\n",
            "ep 34600, total 23.658754348754883, ic 13.778923034667969, ic_v 2.3337221145629883, bc_x0 0.5328076481819153, bc_x1 0.4029023051261902, int 6.610354900360107\n",
            "ep 34700, total 23.58820915222168, ic 13.747276306152344, ic_v 2.3142759799957275, bc_x0 0.5302086472511292, bc_x1 0.4002529978752136, int 6.5961503982543945\n",
            "ep 34800, total 23.528297424316406, ic 13.69784927368164, ic_v 2.311149835586548, bc_x0 0.5287455320358276, bc_x1 0.40040162205696106, int 6.590106964111328\n",
            "ep 34900, total 23.450002670288086, ic 13.692177772521973, ic_v 2.289870262145996, bc_x0 0.5251742005348206, bc_x1 0.39843273162841797, int 6.544304847717285\n",
            "ep 35000, total 23.53692054748535, ic 13.7890625, ic_v 2.2254638671875, bc_x0 0.5225343108177185, bc_x1 0.39615219831466675, int 6.603664875030518\n",
            "ep 35100, total 43.503631591796875, ic 13.498656272888184, ic_v 2.550039529800415, bc_x0 0.5434734225273132, bc_x1 0.41006624698638916, int 26.501352310180664\n",
            "ep 35200, total 23.256669998168945, ic 13.476360321044922, ic_v 2.3102524280548096, bc_x0 0.5291106700897217, bc_x1 0.39877402782440186, int 6.542129993438721\n",
            "ep 35300, total 23.256031036376953, ic 13.551651000976562, ic_v 2.244607448577881, bc_x0 0.5185505151748657, bc_x1 0.3936232328414917, int 6.547553539276123\n",
            "ep 35400, total 33.945316314697266, ic 13.494853973388672, ic_v 2.475907802581787, bc_x0 0.5510531663894653, bc_x1 0.403656929731369, int 17.019798278808594\n",
            "ep 35500, total 23.093765258789062, ic 13.352781295776367, ic_v 2.295398235321045, bc_x0 0.5267027020454407, bc_x1 0.3972002863883972, int 6.521639347076416\n",
            "ep 35600, total 23.624591827392578, ic 13.506908416748047, ic_v 2.2166874408721924, bc_x0 0.5338502526283264, bc_x1 0.38630393147468567, int 6.980797290802002\n",
            "ep 35700, total 22.96327781677246, ic 13.199135780334473, ic_v 2.3074331283569336, bc_x0 0.531338095664978, bc_x1 0.3980041742324829, int 6.527322292327881\n",
            "ep 35800, total 23.00193214416504, ic 13.332530975341797, ic_v 2.2319648265838623, bc_x0 0.5155598521232605, bc_x1 0.3913269639015198, int 6.530506134033203\n",
            "ep 35900, total 67.51300048828125, ic 13.135366439819336, ic_v 3.075434684753418, bc_x0 0.54835444688797, bc_x1 0.40965113043785095, int 50.344146728515625\n",
            "ep 36000, total 22.813077926635742, ic 13.113874435424805, ic_v 2.2828731536865234, bc_x0 0.5238192081451416, bc_x1 0.39390116930007935, int 6.498565196990967\n",
            "ep 36100, total 23.1723690032959, ic 13.237324714660645, ic_v 2.208387613296509, bc_x0 0.5251886248588562, bc_x1 0.39399003982543945, int 6.807435989379883\n",
            "ep 36200, total 52.20960998535156, ic 12.932523727416992, ic_v 2.346433401107788, bc_x0 0.5437261462211609, bc_x1 0.38816577196121216, int 35.998714447021484\n",
            "ep 36300, total 22.671588897705078, ic 12.909528732299805, ic_v 2.2946531772613525, bc_x0 0.5257012844085693, bc_x1 0.39423292875289917, int 6.547428607940674\n",
            "ep 36400, total 22.597225189208984, ic 12.893147468566895, ic_v 2.275303363800049, bc_x0 0.5220750570297241, bc_x1 0.39167168736457825, int 6.514981269836426\n",
            "ep 36500, total 22.565860748291016, ic 12.883576393127441, ic_v 2.261280059814453, bc_x0 0.5177172422409058, bc_x1 0.39085713028907776, int 6.512384414672852\n",
            "ep 36600, total 22.58656883239746, ic 12.86058235168457, ic_v 2.2374918460845947, bc_x0 0.5165216326713562, bc_x1 0.3885272145271301, int 6.583401679992676\n",
            "ep 36700, total 22.515567779541016, ic 12.841038703918457, ic_v 2.2213895320892334, bc_x0 0.5216981172561646, bc_x1 0.38786739110946655, int 6.543529987335205\n",
            "ep 36800, total 22.5533447265625, ic 12.82290267944336, ic_v 2.21889066696167, bc_x0 0.5331758856773376, bc_x1 0.3813435435295105, int 6.596986770629883\n",
            "ep 36900, total 25.658119201660156, ic 12.726802825927734, ic_v 2.565113067626953, bc_x0 0.5341144800186157, bc_x1 0.3991137444972992, int 9.432929039001465\n",
            "ep 37000, total 26.908920288085938, ic 12.555395126342773, ic_v 2.33494234085083, bc_x0 0.5264891982078552, bc_x1 0.39475497603416443, int 11.097295761108398\n",
            "ep 37100, total 22.199514389038086, ic 12.542856216430664, ic_v 2.267695665359497, bc_x0 0.5205046534538269, bc_x1 0.3894234895706177, int 6.47899055480957\n",
            "ep 37200, total 22.133607864379883, ic 12.5209379196167, ic_v 2.2550971508026123, bc_x0 0.5167614221572876, bc_x1 0.3877808153629303, int 6.452986240386963\n",
            "ep 37300, total 22.11519432067871, ic 12.507268905639648, ic_v 2.2416491508483887, bc_x0 0.5130575299263, bc_x1 0.3855664134025574, int 6.467607021331787\n",
            "ep 37400, total 22.051013946533203, ic 12.49411678314209, ic_v 2.221904754638672, bc_x0 0.5142496824264526, bc_x1 0.38519713282585144, int 6.4355010986328125\n",
            "ep 37500, total 22.073514938354492, ic 12.506811141967773, ic_v 2.1921064853668213, bc_x0 0.5206999778747559, bc_x1 0.387186735868454, int 6.466668128967285\n",
            "ep 37600, total 26.858295440673828, ic 12.471851348876953, ic_v 2.253817558288574, bc_x0 0.5316551923751831, bc_x1 0.3755059540271759, int 11.225422859191895\n",
            "ep 37700, total 21.850318908691406, ic 12.237778663635254, ic_v 2.268289804458618, bc_x0 0.5207521319389343, bc_x1 0.3880367875099182, int 6.435419082641602\n",
            "ep 37800, total 21.881900787353516, ic 12.375460624694824, ic_v 2.206991672515869, bc_x0 0.5038381814956665, bc_x1 0.38009703159332275, int 6.415470123291016\n",
            "ep 37900, total 36.69568634033203, ic 12.452836990356445, ic_v 2.2227745056152344, bc_x0 0.5436839461326599, bc_x1 0.40925097465515137, int 21.067096710205078\n",
            "ep 38000, total 21.703014373779297, ic 12.125707626342773, ic_v 2.259390115737915, bc_x0 0.5183202624320984, bc_x1 0.3857332468032837, int 6.413819789886475\n",
            "ep 38100, total 21.72592544555664, ic 12.180133819580078, ic_v 2.226593017578125, bc_x0 0.5085639357566833, bc_x1 0.38154780864715576, int 6.429042339324951\n",
            "ep 38200, total 22.295991897583008, ic 12.174640655517578, ic_v 2.2082293033599854, bc_x0 0.5243658423423767, bc_x1 0.38416293263435364, int 7.0045485496521\n",
            "ep 38300, total 32.43117904663086, ic 12.512582778930664, ic_v 2.2294907569885254, bc_x0 0.5518187284469604, bc_x1 0.4368666410446167, int 16.700374603271484\n",
            "ep 38400, total 21.526409149169922, ic 12.03128433227539, ic_v 2.233484983444214, bc_x0 0.5119847655296326, bc_x1 0.3823462426662445, int 6.367265701293945\n",
            "ep 38500, total 22.79270362854004, ic 12.102474212646484, ic_v 2.3142096996307373, bc_x0 0.5173771381378174, bc_x1 0.3707064688205719, int 7.487891674041748\n",
            "ep 38600, total 21.39498519897461, ic 11.860883712768555, ic_v 2.254396677017212, bc_x0 0.5179457664489746, bc_x1 0.38339897990226746, int 6.378316402435303\n",
            "ep 38700, total 21.418107986450195, ic 11.950800895690918, ic_v 2.2005653381347656, bc_x0 0.5053775310516357, bc_x1 0.37729787826538086, int 6.384023666381836\n",
            "ep 38800, total 22.403810501098633, ic 11.921123504638672, ic_v 2.347412586212158, bc_x0 0.5203481912612915, bc_x1 0.36863985657691956, int 7.246243953704834\n",
            "ep 38900, total 21.60332679748535, ic 11.697702407836914, ic_v 2.2547733783721924, bc_x0 0.517867386341095, bc_x1 0.38162681460380554, int 6.751312732696533\n",
            "ep 39000, total 21.209592819213867, ic 11.721040725708008, ic_v 2.2410786151885986, bc_x0 0.5122072100639343, bc_x1 0.37946298718452454, int 6.3557586669921875\n",
            "ep 39100, total 21.217391967773438, ic 11.726238250732422, ic_v 2.216261386871338, bc_x0 0.5064526200294495, bc_x1 0.37587258219718933, int 6.3925251960754395\n",
            "ep 39200, total 21.302555084228516, ic 11.714178085327148, ic_v 2.1944243907928467, bc_x0 0.5105084776878357, bc_x1 0.3764539361000061, int 6.506946563720703\n",
            "ep 39300, total 21.19883155822754, ic 11.666584968566895, ic_v 2.1969313621520996, bc_x0 0.5134621858596802, bc_x1 0.37580686807632446, int 6.446003437042236\n",
            "ep 39400, total 21.19190216064453, ic 11.663448333740234, ic_v 2.1815741062164307, bc_x0 0.5153859853744507, bc_x1 0.3739874064922333, int 6.457462787628174\n",
            "ep 39500, total 23.17547035217285, ic 11.715246200561523, ic_v 2.1710219383239746, bc_x0 0.5169338583946228, bc_x1 0.3698200285434723, int 8.402405738830566\n",
            "ep 39600, total 20.93340492248535, ic 11.413673400878906, ic_v 2.25087571144104, bc_x0 0.5152329206466675, bc_x1 0.3793739676475525, int 6.374206066131592\n",
            "ep 39700, total 20.876319885253906, ic 11.483854293823242, ic_v 2.216981887817383, bc_x0 0.5055931210517883, bc_x1 0.37479931116104126, int 6.295046806335449\n",
            "ep 39800, total 21.835073471069336, ic 11.729599952697754, ic_v 2.1688642501831055, bc_x0 0.5223284363746643, bc_x1 0.3631095886230469, int 7.051126956939697\n",
            "ep 39900, total 20.773618698120117, ic 11.361520767211914, ic_v 2.2325382232666016, bc_x0 0.5110472440719604, bc_x1 0.3766711354255676, int 6.291796684265137\n",
            "ep 40000, total 21.462697982788086, ic 11.579339981079102, ic_v 2.1531872749328613, bc_x0 0.5255250930786133, bc_x1 0.36343300342559814, int 6.841170310974121\n",
            "ep 40100, total 20.679317474365234, ic 11.2711763381958, ic_v 2.235581159591675, bc_x0 0.5121722221374512, bc_x1 0.3761691153049469, int 6.28417444229126\n",
            "ep 40200, total 20.712970733642578, ic 11.396048545837402, ic_v 2.1677629947662354, bc_x0 0.506132960319519, bc_x1 0.36948853731155396, int 6.273496150970459\n",
            "ep 40300, total 22.508594512939453, ic 11.414178848266602, ic_v 2.407075881958008, bc_x0 0.5300050377845764, bc_x1 0.4013054072856903, int 7.755984306335449\n",
            "ep 40400, total 20.542165756225586, ic 11.138822555541992, ic_v 2.2367055416107178, bc_x0 0.5100982785224915, bc_x1 0.3741874098777771, int 6.282308578491211\n",
            "ep 40500, total 20.51154327392578, ic 11.17312240600586, ic_v 2.2134838104248047, bc_x0 0.5020660161972046, bc_x1 0.37031126022338867, int 6.25251579284668\n",
            "ep 40600, total 20.544057846069336, ic 11.180903434753418, ic_v 2.187469482421875, bc_x0 0.504413366317749, bc_x1 0.36878740787506104, int 6.302439212799072\n",
            "ep 40700, total 20.891027450561523, ic 11.165231704711914, ic_v 2.1730525493621826, bc_x0 0.5126367807388306, bc_x1 0.36890241503715515, int 6.671160697937012\n",
            "ep 40800, total 21.221506118774414, ic 11.129250526428223, ic_v 2.1821205615997314, bc_x0 0.517121434211731, bc_x1 0.3623167872428894, int 7.0306525230407715\n",
            "ep 40900, total 21.232345581054688, ic 11.09012222290039, ic_v 2.1880128383636475, bc_x0 0.5098986029624939, bc_x1 0.3667972981929779, int 7.077469825744629\n",
            "ep 41000, total 22.978544235229492, ic 11.106082916259766, ic_v 2.280155897140503, bc_x0 0.5078324675559998, bc_x1 0.37768518924713135, int 8.706743240356445\n",
            "ep 41100, total 20.211767196655273, ic 10.863162994384766, ic_v 2.2320706844329834, bc_x0 0.5080127716064453, bc_x1 0.3710760176181793, int 6.237401008605957\n",
            "ep 41200, total 20.21599769592285, ic 10.977338790893555, ic_v 2.192157506942749, bc_x0 0.494623064994812, bc_x1 0.365503191947937, int 6.1863298416137695\n",
            "ep 41300, total 20.556400299072266, ic 10.996017456054688, ic_v 2.232283115386963, bc_x0 0.5112954378128052, bc_x1 0.35949021577835083, int 6.457271099090576\n",
            "ep 41400, total 20.080747604370117, ic 10.75090217590332, ic_v 2.2330920696258545, bc_x0 0.5076631307601929, bc_x1 0.3698357343673706, int 6.219210147857666\n",
            "ep 41500, total 20.092493057250977, ic 10.881458282470703, ic_v 2.1883482933044434, bc_x0 0.49242913722991943, bc_x1 0.3636306822299957, int 6.166583061218262\n",
            "ep 41600, total 21.867332458496094, ic 10.942893981933594, ic_v 2.5581774711608887, bc_x0 0.5202199220657349, bc_x1 0.38938048481941223, int 7.456614971160889\n",
            "ep 41700, total 19.986377716064453, ic 10.74244499206543, ic_v 2.2103095054626465, bc_x0 0.5003474950790405, bc_x1 0.36650583148002625, int 6.166724681854248\n",
            "ep 41800, total 20.223102569580078, ic 10.917323112487793, ic_v 2.161895990371704, bc_x0 0.5149682760238647, bc_x1 0.35474660992622375, int 6.274125576019287\n",
            "ep 41900, total 19.8765869140625, ic 10.59546184539795, ic_v 2.2285776138305664, bc_x0 0.5056903958320618, bc_x1 0.3672177791595459, int 6.179594993591309\n",
            "ep 42000, total 19.886293411254883, ic 10.66324234008789, ic_v 2.1984431743621826, bc_x0 0.49459126591682434, bc_x1 0.3627157509326935, int 6.167255878448486\n",
            "ep 42100, total 20.225332260131836, ic 10.73864459991455, ic_v 2.1614787578582764, bc_x0 0.507895827293396, bc_x1 0.3652414381504059, int 6.452025413513184\n",
            "ep 42200, total 22.960071563720703, ic 10.662303924560547, ic_v 2.5349106788635254, bc_x0 0.5138654708862305, bc_x1 0.3801092803478241, int 8.8688383102417\n",
            "ep 42300, total 19.737924575805664, ic 10.445645332336426, ic_v 2.2306156158447266, bc_x0 0.5038502216339111, bc_x1 0.36559775471687317, int 6.1921706199646\n",
            "ep 42400, total 19.713298797607422, ic 10.568174362182617, ic_v 2.1877081394195557, bc_x0 0.4905608892440796, bc_x1 0.35994186997413635, int 6.106870651245117\n",
            "ep 42500, total 24.94847297668457, ic 10.668672561645508, ic_v 2.250584363937378, bc_x0 0.5065497159957886, bc_x1 0.3593361973762512, int 11.163285255432129\n",
            "ep 42600, total 19.605846405029297, ic 10.417248725891113, ic_v 2.213273048400879, bc_x0 0.4983937442302704, bc_x1 0.36295849084854126, int 6.113927364349365\n",
            "ep 42700, total 19.924718856811523, ic 10.550682067871094, ic_v 2.148578643798828, bc_x0 0.500835657119751, bc_x1 0.3572935163974762, int 6.367285251617432\n",
            "ep 42800, total 58.62471389770508, ic 10.349531173706055, ic_v 2.82039213180542, bc_x0 0.5181556344032288, bc_x1 0.37261146306991577, int 44.56398010253906\n",
            "ep 42900, total 19.47469139099121, ic 10.29338264465332, ic_v 2.2182044982910156, bc_x0 0.49808359146118164, bc_x1 0.3615545630455017, int 6.103422164916992\n",
            "ep 43000, total 19.46268653869629, ic 10.346181869506836, ic_v 2.1895241737365723, bc_x0 0.48892244696617126, bc_x1 0.3580464720726013, int 6.07996940612793\n",
            "ep 43100, total 19.764602661132812, ic 10.35561466217041, ic_v 2.1689133644104004, bc_x0 0.5006681680679321, bc_x1 0.3572480380535126, int 6.382113456726074\n",
            "ep 43200, total 19.913837432861328, ic 10.329864501953125, ic_v 2.1806745529174805, bc_x0 0.5055234432220459, bc_x1 0.35161852836608887, int 6.546113014221191\n",
            "ep 43300, total 21.356016159057617, ic 10.292251586914062, ic_v 2.1883418560028076, bc_x0 0.49879181385040283, bc_x1 0.3539022207260132, int 8.022682189941406\n",
            "ep 43400, total 20.143024444580078, ic 10.2755126953125, ic_v 2.232550621032715, bc_x0 0.5001450777053833, bc_x1 0.36233407258987427, int 6.772438049316406\n",
            "ep 43500, total 20.267749786376953, ic 10.20390796661377, ic_v 2.251673936843872, bc_x0 0.4963184893131256, bc_x1 0.35689857602119446, int 6.9589056968688965\n",
            "ep 43600, total 20.003355026245117, ic 10.182859420776367, ic_v 2.200698137283325, bc_x0 0.4986441135406494, bc_x1 0.35407575964927673, int 6.76703405380249\n",
            "ep 43700, total 19.553462982177734, ic 10.123701095581055, ic_v 2.1774632930755615, bc_x0 0.5000320672988892, bc_x1 0.3538322448730469, int 6.39838981628418\n",
            "ep 43800, total 19.163759231567383, ic 10.076126098632812, ic_v 2.1869401931762695, bc_x0 0.49450671672821045, bc_x1 0.35668042302131653, int 6.04946231842041\n",
            "ep 43900, total 19.097415924072266, ic 9.99551773071289, ic_v 2.203490972518921, bc_x0 0.4900602698326111, bc_x1 0.3559379577636719, int 6.052365303039551\n",
            "ep 44000, total 19.074371337890625, ic 9.980945587158203, ic_v 2.2008259296417236, bc_x0 0.48751771450042725, bc_x1 0.35482680797576904, int 6.0502119064331055\n",
            "ep 44100, total 19.029966354370117, ic 10.003780364990234, ic_v 2.1858603954315186, bc_x0 0.48401719331741333, bc_x1 0.3534643352031708, int 6.002800941467285\n",
            "ep 44200, total 19.218477249145508, ic 10.006933212280273, ic_v 2.1737687587738037, bc_x0 0.49364835023880005, bc_x1 0.3538088798522949, int 6.190272331237793\n",
            "ep 44300, total 19.647247314453125, ic 9.961726188659668, ic_v 2.188486099243164, bc_x0 0.49861401319503784, bc_x1 0.35498499870300293, int 6.643393039703369\n",
            "ep 44400, total 19.33211326599121, ic 9.934747695922852, ic_v 2.1865975856781006, bc_x0 0.4975525140762329, bc_x1 0.3545585572719574, int 6.358611106872559\n",
            "ep 44500, total 19.23811149597168, ic 9.873991012573242, ic_v 2.1870553493499756, bc_x0 0.49654465913772583, bc_x1 0.35296088457107544, int 6.327516555786133\n",
            "ep 44600, total 18.98320960998535, ic 9.879963874816895, ic_v 2.1735568046569824, bc_x0 0.49222156405448914, bc_x1 0.351397842168808, int 6.086024284362793\n",
            "ep 44700, total 18.94122314453125, ic 9.849602699279785, ic_v 2.177666425704956, bc_x0 0.4958442151546478, bc_x1 0.3503495156764984, int 6.067717552185059\n",
            "ep 44800, total 18.858943939208984, ic 9.794317245483398, ic_v 2.1776232719421387, bc_x0 0.4949414134025574, bc_x1 0.3493979275226593, int 6.042619228363037\n",
            "ep 44900, total 18.935110092163086, ic 9.75473403930664, ic_v 2.183419942855835, bc_x0 0.490512877702713, bc_x1 0.35114097595214844, int 6.155258655548096\n",
            "ep 45000, total 18.770471572875977, ic 9.690237045288086, ic_v 2.197091579437256, bc_x0 0.4860750138759613, bc_x1 0.35222017765045166, int 6.044802665710449\n",
            "ep 45100, total 36.30257034301758, ic 9.609833717346191, ic_v 2.2345008850097656, bc_x0 0.4925537109375, bc_x1 0.34844958782196045, int 23.617185592651367\n",
            "ep 45200, total 21.009071350097656, ic 9.68018913269043, ic_v 2.2566611766815186, bc_x0 0.4902646541595459, bc_x1 0.3545442819595337, int 8.227367401123047\n",
            "ep 45300, total 19.32261848449707, ic 9.665107727050781, ic_v 2.206207513809204, bc_x0 0.4873221516609192, bc_x1 0.34921708703041077, int 6.614721298217773\n",
            "ep 45400, total 19.842302322387695, ic 9.737482070922852, ic_v 2.1931447982788086, bc_x0 0.49194902181625366, bc_x1 0.34114885330200195, int 7.07853364944458\n",
            "ep 45500, total 20.783370971679688, ic 9.653403282165527, ic_v 2.3863792419433594, bc_x0 0.4998883605003357, bc_x1 0.35757917165756226, int 7.886078834533691\n",
            "ep 45600, total 52.93461608886719, ic 9.459517478942871, ic_v 2.2705514430999756, bc_x0 0.5025992393493652, bc_x1 0.34657251834869385, int 40.35533142089844\n",
            "ep 45700, total 19.144052505493164, ic 9.436412811279297, ic_v 2.2174947261810303, bc_x0 0.48508065938949585, bc_x1 0.3495703339576721, int 6.655449867248535\n",
            "ep 45800, total 19.110414505004883, ic 9.416797637939453, ic_v 2.215099811553955, bc_x0 0.4833792448043823, bc_x1 0.34870150685310364, int 6.646393775939941\n",
            "ep 45900, total 32.54660415649414, ic 9.418196678161621, ic_v 2.3320159912109375, bc_x0 0.48858240246772766, bc_x1 0.3528538942337036, int 19.954906463623047\n",
            "ep 46000, total 22.238162994384766, ic 9.438272476196289, ic_v 2.2794651985168457, bc_x0 0.4867866337299347, bc_x1 0.3493669629096985, int 9.684228897094727\n",
            "ep 46100, total 18.85907554626465, ic 9.389205932617188, ic_v 2.209428310394287, bc_x0 0.48856842517852783, bc_x1 0.34765857458114624, int 6.424169540405273\n",
            "ep 46200, total 23.376033782958984, ic 9.391091346740723, ic_v 2.2233564853668213, bc_x0 0.48540449142456055, bc_x1 0.34860408306121826, int 10.927534103393555\n",
            "ep 46300, total 18.548316955566406, ic 9.32888412475586, ic_v 2.1984050273895264, bc_x0 0.4828849732875824, bc_x1 0.34651145339012146, int 6.191586971282959\n",
            "ep 46400, total 29.178115844726562, ic 9.499462127685547, ic_v 2.226269483566284, bc_x0 0.4897995591163635, bc_x1 0.35670578479766846, int 16.6058349609375\n",
            "ep 46500, total 24.003393173217773, ic 9.186932563781738, ic_v 2.2308199405670166, bc_x0 0.4839637279510498, bc_x1 0.3449012339115143, int 11.756731033325195\n",
            "ep 46600, total 18.12428092956543, ic 9.263375282287598, ic_v 2.202126979827881, bc_x0 0.4760898947715759, bc_x1 0.34488630294799805, int 5.837758541107178\n",
            "ep 46700, total 18.15492820739746, ic 9.302301406860352, ic_v 2.175689935684204, bc_x0 0.47519320249557495, bc_x1 0.34409913420677185, int 5.857601165771484\n",
            "ep 46800, total 18.6729793548584, ic 9.292831420898438, ic_v 2.1831674575805664, bc_x0 0.4886493384838104, bc_x1 0.3427715301513672, int 6.365516185760498\n",
            "ep 46900, total 19.017316818237305, ic 9.239197731018066, ic_v 2.2037274837493896, bc_x0 0.48213258385658264, bc_x1 0.34119510650634766, int 6.751020908355713\n",
            "ep 47000, total 18.277175903320312, ic 9.269105911254883, ic_v 2.197227716445923, bc_x0 0.4788013994693756, bc_x1 0.33985745906829834, int 5.9921393394470215\n",
            "ep 47100, total 34.09857177734375, ic 9.361637115478516, ic_v 2.2631115913391113, bc_x0 0.49146759510040283, bc_x1 0.3596624433994293, int 21.622648239135742\n",
            "ep 47200, total 25.344026565551758, ic 9.072836875915527, ic_v 2.265826940536499, bc_x0 0.48438844084739685, bc_x1 0.3484427332878113, int 13.17248821258545\n",
            "ep 47300, total 17.941919326782227, ic 9.026200294494629, ic_v 2.21882963180542, bc_x0 0.47732144594192505, bc_x1 0.3435651957988739, int 5.875959873199463\n",
            "ep 47400, total 17.87377166748047, ic 9.089407920837402, ic_v 2.1978821754455566, bc_x0 0.4698871970176697, bc_x1 0.3406814932823181, int 5.775868892669678\n",
            "ep 47500, total 17.86276626586914, ic 9.092972755432129, ic_v 2.184619188308716, bc_x0 0.4765284061431885, bc_x1 0.3398062288761139, int 5.768797397613525\n",
            "ep 47600, total 18.070701599121094, ic 9.109017372131348, ic_v 2.1742751598358154, bc_x0 0.4863681197166443, bc_x1 0.33748072385787964, int 5.963515758514404\n",
            "ep 47700, total 20.11977195739746, ic 9.080193519592285, ic_v 2.251690149307251, bc_x0 0.47491922974586487, bc_x1 0.3397945165634155, int 7.9731316566467285\n",
            "ep 47800, total 26.444108963012695, ic 8.865704536437988, ic_v 2.2451162338256836, bc_x0 0.4783291816711426, bc_x1 0.3402146100997925, int 14.514702796936035\n",
            "ep 47900, total 17.70610809326172, ic 8.950721740722656, ic_v 2.2045469284057617, bc_x0 0.470245361328125, bc_x1 0.3395957052707672, int 5.740954875946045\n",
            "ep 48000, total 17.848825454711914, ic 9.019319534301758, ic_v 2.17509126663208, bc_x0 0.47102776169776917, bc_x1 0.33907073736190796, int 5.844273090362549\n",
            "ep 48100, total 17.824800491333008, ic 8.983153343200684, ic_v 2.2001781463623047, bc_x0 0.4788197875022888, bc_x1 0.3324187397956848, int 5.830188274383545\n",
            "ep 48200, total 18.454998016357422, ic 8.932601928710938, ic_v 2.247525453567505, bc_x0 0.4757337272167206, bc_x1 0.3373398184776306, int 6.461754322052002\n",
            "ep 48300, total 18.04169273376465, ic 8.925252914428711, ic_v 2.3853847980499268, bc_x0 0.4776966869831085, bc_x1 0.34208589792251587, int 5.911227226257324\n",
            "ep 48400, total 21.846355438232422, ic 9.111790657043457, ic_v 2.3402528762817383, bc_x0 0.4884475767612457, bc_x1 0.3581508696079254, int 9.547670364379883\n",
            "ep 48500, total 17.51935386657715, ic 8.760929107666016, ic_v 2.217205762863159, bc_x0 0.47100597620010376, bc_x1 0.33868613839149475, int 5.73148250579834\n",
            "ep 48600, total 17.51689910888672, ic 8.813315391540527, ic_v 2.1972155570983887, bc_x0 0.4642408788204193, bc_x1 0.33670568466186523, int 5.705377578735352\n",
            "ep 48700, total 17.6605281829834, ic 8.831329345703125, ic_v 2.1837589740753174, bc_x0 0.4688799977302551, bc_x1 0.33599016070365906, int 5.840525150299072\n",
            "ep 48800, total 18.116830825805664, ic 8.81933307647705, ic_v 2.182373285293579, bc_x0 0.48001840710639954, bc_x1 0.3332133889198303, int 6.3018479347229\n",
            "ep 48900, total 19.808942794799805, ic 8.836549758911133, ic_v 2.2203989028930664, bc_x0 0.4694874584674835, bc_x1 0.33038055896759033, int 7.952081680297852\n",
            "ep 49000, total 19.487802505493164, ic 8.632651329040527, ic_v 2.2395739555358887, bc_x0 0.475574791431427, bc_x1 0.34031230211257935, int 7.799646854400635\n",
            "ep 49100, total 17.350265502929688, ic 8.689851760864258, ic_v 2.2033329010009766, bc_x0 0.4646652936935425, bc_x1 0.3345283269882202, int 5.657845497131348\n",
            "ep 49200, total 17.393945693969727, ic 8.727605819702148, ic_v 2.183847665786743, bc_x0 0.4672462046146393, bc_x1 0.3342755436897278, int 5.680925369262695\n",
            "ep 49300, total 17.582042694091797, ic 8.744462966918945, ic_v 2.180982828140259, bc_x0 0.4774037003517151, bc_x1 0.32948943972587585, int 5.849660873413086\n",
            "ep 49400, total 21.577960968017578, ic 8.724786758422852, ic_v 2.2878503799438477, bc_x0 0.46586161851882935, bc_x1 0.330850213766098, int 9.768567085266113\n",
            "ep 49500, total 18.41244888305664, ic 8.764659881591797, ic_v 2.4373199939727783, bc_x0 0.4831891655921936, bc_x1 0.34389859437942505, int 6.38333797454834\n",
            "ep 49600, total 17.195756912231445, ic 8.547536849975586, ic_v 2.213404893875122, bc_x0 0.4645916223526001, bc_x1 0.3338348865509033, int 5.636343955993652\n",
            "ep 49700, total 17.223737716674805, ic 8.597387313842773, ic_v 2.191676616668701, bc_x0 0.45785456895828247, bc_x1 0.33214882016181946, int 5.644623756408691\n",
            "ep 49800, total 17.354461669921875, ic 8.592386245727539, ic_v 2.1901519298553467, bc_x0 0.4667683243751526, bc_x1 0.332206130027771, int 5.772904396057129\n",
            "ep 49900, total 17.500320434570312, ic 8.580677032470703, ic_v 2.1809606552124023, bc_x0 0.47058019042015076, bc_x1 0.3302701711654663, int 5.937788009643555\n",
            "ep 50000, total 17.237224578857422, ic 8.543233871459961, ic_v 2.1844258308410645, bc_x0 0.4693912863731384, bc_x1 0.3299033045768738, int 5.710228443145752\n"
          ]
        }
      ],
      "source": [
        "with tf.device(\"cpu:0\"):\n",
        "    opt = keras.optimizers.Adam(learning_rate=2e-4)\n",
        "    fit(model, x, t, len(x_input), c, 50000)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
            "INFO:tensorflow:Assets written to: New_Nonlinear_c1_100_1_10_1_t3_tanh/assets\n"
          ]
        }
      ],
      "source": [
        "model.save(\"New_Nonlinear_c1_100_1_10_1_t3_tanh\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in save file, so the model was *not* compiled. Compile it manually.\n"
          ]
        }
      ],
      "source": [
        "model = tf.keras.models.load_model(\"FF_c0.8_100_1_10_1_t3_tanh_2\")\n",
        "# dx = 0.02\n",
        "# dt = 0.02\n",
        "# time_span = 2.\n",
        "# x_end = 1.\n",
        "# num_p_row = 51\n",
        "# epoch = 10\n",
        "# c = 0.95\n",
        "# x_input = tf.constant([np.asarray([x, t]) for t in np.arange(0, time_span+dt, dt)\n",
        "#                       for x in np.arange(0, x_end+dx, dx)], dtype='float32')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "L4SWFc_UcdCX",
        "outputId": "4af0232f-0b56-4bd5-8b83-ac446971ce96"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 0 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(0, 200, 1):\n",
        "    num = i\n",
        "    u= model(tf.concat((x[num_p_row*num:num_p_row*(num+1)], t[num_p_row*num:num_p_row*(num+1)]), axis=1))\n",
        "    plt.plot(x[num_p_row*num:num_p_row*(num+1)], u)\n",
        "    plt.xlim([0,1])\n",
        "    plt.ylim(-4.5,4.5)\n",
        "    plt.grid()\n",
        "    plt.savefig(f'gif/{i}.jpg')\n",
        "    plt.clf()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [],
      "source": [
        "gif_images = []\n",
        "for i in range(0, 200):\n",
        "    gif_images.append(imageio.imread(\"gif/\"+str(i)+\".jpg\"))\n",
        "imageio.mimsave(\"nonl_wave.gif\", gif_images, fps=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "Pb4wBC-ldi_C"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 2160x1080 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "def check_3d_plot(model, elev_, azim_):\n",
        "    x = np.arange(0, 1.0, 0.05)\n",
        "    t = np.arange(0, 2.0, 0.05)\n",
        "    zs = np.array([model(tf.constant([x_, t_], shape=(1, 2)))\n",
        "                  for t_ in t for x_ in x])\n",
        "    X, Y = np.meshgrid(x, t)\n",
        "    Z = zs.reshape(X.shape)\n",
        "    fig = plt.figure(figsize=(30, 15))\n",
        "    ax = fig.add_subplot(121, projection='3d')\n",
        "    ax.set_xlabel('x')\n",
        "    ax.set_ylabel('t')\n",
        "    ax.plot_surface(X, Y, Z, cmap='RdBu_r')\n",
        "    ax.view_init(elev=elev_, azim=azim_)\n",
        "    ax2 = fig.add_subplot(122, projection='3d')\n",
        "    ax2.plot_surface(X, Y, Z, cmap='RdBu_r')\n",
        "    ax2.view_init(elev=90., azim=0.)\n",
        "    ax2.set_xlabel('x')\n",
        "    ax2.set_ylabel('t')\n",
        "    plt.show()\n",
        "check_3d_plot(model, 25, -15)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "Proj_gen2.ipynb",
      "provenance": []
    },
    "interpreter": {
      "hash": "6d0436a005dab00633980011810d3fa07be3a7414af46c729a0eb2011268a27d"
    },
    "kernelspec": {
      "display_name": "Python 3.8.11 64-bit ('tf': conda)",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.12"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}