{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Wei-Hsuan Shih, Zhilong Li, Yiran You\n",
        "# 1-D Wave propagation with various wave speed"
      ]
    },
    {
      "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'"
      ]
    },
    {
      "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",
        "    \"\"\"Calculate the gaussian distribution as initial condition\n",
        "    \"\"\"\n",
        "    return 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, c):\n",
        "    \"\"\"Combine variables and get the model output\n",
        "    \"\"\"\n",
        "    u = model(tf.concat((x, t, c), axis=1))\n",
        "    return u\n",
        "\n",
        "\n",
        "@tf.function\n",
        "def get_u_du_d2u(x, t, c):\n",
        "    \"\"\"make prediction and calculate derivatives\n",
        "    \"\"\"\n",
        "    u = get_u(x, t, c)\n",
        "    du_dx = tf.gradients(u, x)[0]\n",
        "    du_dt = tf.gradients(u, t)[0]\n",
        "    d2u_dx2 = tf.gradients(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, c, length, 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",
        "    diff_c_list = np.arange(0, num_diff_c)\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, c)\n",
        "            # compute the loss for initial condition u(x, 0, c)= ic\n",
        "            u_ic = [u[n*num_p_tx:n*num_p_tx+num_p_row] for n in diff_c_list]\n",
        "            ini_l = tf.reduce_mean(tf.square(u_ic-ic_array))*lambda_ini\n",
        "            \n",
        "            # compute the loss for u_t(x, 0, c) = 0\n",
        "            du_dt_ic = [du_dt[n*num_p_tx:n*num_p_tx+num_p_row] for n in range(num_diff_c)]\n",
        "            ini_l2 = tf.reduce_mean(tf.square(du_dt_ic))*lambda_ini2\n",
        "\n",
        "            # Wave reflection boundary\n",
        "            # get all du/dx for x=0: u_x(0, t, c)= 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, c)= 0\n",
        "            bdy_x1 = tf.reduce_mean(\n",
        "                tf.square([du_dx[x_i] for x_i in x1_bdy]))*lambda_bc\n",
        "            \n",
        "            # interior loss\n",
        "            int_l = tf.reduce_mean(\n",
        "                tf.square(d2u_dt2-tf.square(c)*d2u_dx2))*lambda_int\n",
        "            # regulation loss\n",
        "            reg_loss = tf.reduce_sum(model.losses)\n",
        "            # compute total loss\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": "markdown",
      "metadata": {},
      "source": [
        "## Prepare training data and initial condition"
      ]
    },
    {
      "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": [
            "9\n",
            "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",
        "dc = 0.1\n",
        "c_max = 1\n",
        "time_span = 2.\n",
        "x_end = 1.\n",
        "num_p_row = int(x_end/dx+1)\n",
        "num_p_time = int(time_span//dt+2)\n",
        "num_p_tx = num_p_time*num_p_row\n",
        "num_diff_c = int(c_max//dc)\n",
        "print(num_diff_c)\n",
        "\n",
        "# generate all training data [x, t, c]\n",
        "x_input = [np.asarray([[x], [t], [c]])\n",
        "           for c in np.arange(dc, c_max, dc)\n",
        "           for t in np.arange(0, time_span+dt, dt)\n",
        "           for x in np.arange(0, x_end+dx, dx)]\n",
        "\n",
        "x, t, c = zip(*x_input)\n",
        "# get initial condition\n",
        "ic = init_fn(np.asarray(x[:num_p_row], dtype='float32'), 0.5, 0.1)\n",
        "plt.plot(x[:num_p_row], ic)\n",
        "ic = tf.reshape(ic, (num_p_row))\n",
        "ic_array = tf.tile(ic, [num_diff_c])\n",
        "ic_array = tf.reshape(ic_array, [num_diff_c, num_p_row, 1])\n",
        "# convert to tensorflow variable\n",
        "x = tf.Variable(x, dtype='float32')\n",
        "t = tf.Variable(t, dtype='float32')\n",
        "c = tf.Variable(c, dtype='float32')\n",
        "model = get_model(3, 1, 20, 10, act_func='tanh')\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Model fitting"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 144,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ep 100, total 2.446390390396118, ic 0.5540205240249634, ic_v 0.0731264278292656, bc_x0 0.09315860271453857, bc_x1 0.10253018140792847, int 1.623520016670227\n",
            "ep 200, total 2.4426491260528564, ic 0.550873339176178, ic_v 0.07318419963121414, bc_x0 0.09326107800006866, bc_x1 0.10230687260627747, int 1.6229894161224365\n",
            "ep 300, total 2.4378087520599365, ic 0.5490259528160095, ic_v 0.07313545048236847, bc_x0 0.09292718768119812, bc_x1 0.10192960500717163, int 1.6207562685012817\n",
            "ep 400, total 2.431976795196533, ic 0.5472509860992432, ic_v 0.0729585587978363, bc_x0 0.0925549790263176, bc_x1 0.10142886638641357, int 1.6177488565444946\n",
            "ep 500, total 2.425236701965332, ic 0.5453648567199707, ic_v 0.0726943165063858, bc_x0 0.09212833642959595, bc_x1 0.10085556656122208, int 1.614159345626831\n",
            "ep 600, total 2.4176430702209473, ic 0.5433083772659302, ic_v 0.07236259430646896, bc_x0 0.09164653718471527, bc_x1 0.1002207100391388, int 1.6100707054138184\n",
            "ep 700, total 2.409224271774292, ic 0.5410454273223877, ic_v 0.07197540998458862, bc_x0 0.09111206233501434, bc_x1 0.09953469038009644, int 1.6055222749710083\n",
            "ep 800, total 2.400005340576172, ic 0.5385762453079224, ic_v 0.07153812050819397, bc_x0 0.09052783250808716, bc_x1 0.09879890829324722, int 1.6005297899246216\n",
            "ep 900, total 2.3900067806243896, ic 0.5359042882919312, ic_v 0.07105030864477158, bc_x0 0.08989670872688293, bc_x1 0.09801745414733887, int 1.5951038599014282\n",
            "ep 1000, total 2.3792316913604736, ic 0.5330176949501038, ic_v 0.0705181434750557, bc_x0 0.08922071009874344, bc_x1 0.09718689322471619, int 1.5892540216445923\n",
            "ep 1100, total 2.3676929473876953, ic 0.529923677444458, ic_v 0.0699400082230568, bc_x0 0.08850108832120895, bc_x1 0.09631241858005524, int 1.5829814672470093\n",
            "ep 1200, total 2.3555245399475098, ic 0.5264137387275696, ic_v 0.06939775496721268, bc_x0 0.08770288527011871, bc_x1 0.09538698941469193, int 1.576588749885559\n",
            "ep 1300, total 2.342790365219116, ic 0.5229566097259521, ic_v 0.06875213235616684, bc_x0 0.08692939579486847, bc_x1 0.09442240744829178, int 1.5696957111358643\n",
            "ep 1400, total 2.3309319019317627, ic 0.5178239345550537, ic_v 0.0683746337890625, bc_x0 0.08617663383483887, bc_x1 0.0934145450592041, int 1.5651077032089233\n",
            "ep 1500, total 2.3159518241882324, ic 0.5158915519714355, ic_v 0.06736724078655243, bc_x0 0.08532050997018814, bc_x1 0.09261870384216309, int 1.55471932888031\n",
            "ep 1600, total 2.3021085262298584, ic 0.5119690895080566, ic_v 0.06664937734603882, bc_x0 0.08445446193218231, bc_x1 0.09165763109922409, int 1.547343373298645\n",
            "ep 1700, total 2.297004461288452, ic 0.516779363155365, ic_v 0.0653674304485321, bc_x0 0.0850864127278328, bc_x1 0.0974341481924057, int 1.5323026180267334\n",
            "ep 1800, total 2.273494005203247, ic 0.5040370225906372, ic_v 0.0651635080575943, bc_x0 0.08268707245588303, bc_x1 0.0898030698299408, int 1.5317686796188354\n",
            "ep 1900, total 2.2607080936431885, ic 0.49866586923599243, ic_v 0.06468713283538818, bc_x0 0.08203156292438507, bc_x1 0.08888084441423416, int 1.526408314704895\n",
            "ep 2000, total 2.253276824951172, ic 0.4952382445335388, ic_v 0.0620720200240612, bc_x0 0.08518743515014648, bc_x1 0.09120620787143707, int 1.5195382833480835\n",
            "ep 2100, total 2.23089599609375, ic 0.4947686195373535, ic_v 0.06254564225673676, bc_x0 0.08043411374092102, bc_x1 0.08845224231481552, int 1.5046608448028564\n",
            "ep 2200, total 2.2343997955322266, ic 0.4987667202949524, ic_v 0.06418311595916748, bc_x0 0.08315426111221313, bc_x1 0.09476615488529205, int 1.4934951066970825\n",
            "ep 2300, total 2.200942277908325, ic 0.4842485189437866, ic_v 0.06134634464979172, bc_x0 0.07829594612121582, bc_x1 0.08547370135784149, int 1.491542935371399\n",
            "ep 2400, total 2.1868724822998047, ic 0.4806104004383087, ic_v 0.06058480590581894, bc_x0 0.07744801044464111, bc_x1 0.08465145528316498, int 1.4835431575775146\n",
            "ep 2500, total 2.180253267288208, ic 0.4846150577068329, ic_v 0.059494759887456894, bc_x0 0.07706542313098907, bc_x1 0.08989395201206207, int 1.469149112701416\n",
            "ep 2600, total 2.1630611419677734, ic 0.47555407881736755, ic_v 0.05850931629538536, bc_x0 0.0786685049533844, bc_x1 0.084816575050354, int 1.4654775857925415\n",
            "ep 2700, total 2.145409345626831, ic 0.4691617488861084, ic_v 0.058418624103069305, bc_x0 0.07503440231084824, bc_x1 0.08215681463479996, int 1.4606027603149414\n",
            "ep 2800, total 2.1317405700683594, ic 0.4654519855976105, ic_v 0.057522695511579514, bc_x0 0.07441683858633041, bc_x1 0.08128279447555542, int 1.4530314207077026\n",
            "ep 2900, total 2.124532699584961, ic 0.46172332763671875, ic_v 0.05777321755886078, bc_x0 0.0757891908288002, bc_x1 0.0812130719423294, int 1.447999119758606\n",
            "ep 3000, total 2.112617254257202, ic 0.46650925278663635, ic_v 0.05581052973866463, bc_x0 0.07407055795192719, bc_x1 0.08489778637886047, int 1.431294322013855\n",
            "ep 3100, total 2.0993192195892334, ic 0.4549427032470703, ic_v 0.05679219588637352, bc_x0 0.0754518210887909, bc_x1 0.07850517332553864, int 1.4335923194885254\n",
            "ep 3200, total 2.0803518295288086, ic 0.4512896239757538, ic_v 0.05552414432168007, bc_x0 0.07191099971532822, bc_x1 0.0777183547616005, int 1.423873782157898\n",
            "ep 3300, total 2.067228317260742, ic 0.45021334290504456, ic_v 0.05409102886915207, bc_x0 0.07030268013477325, bc_x1 0.07899485528469086, int 1.4135913848876953\n",
            "ep 3400, total 2.0536177158355713, ic 0.443084180355072, ic_v 0.0534600205719471, bc_x0 0.06970195472240448, bc_x1 0.07676476240158081, int 1.4105716943740845\n",
            "ep 3500, total 2.042556047439575, ic 0.44007962942123413, ic_v 0.05223667621612549, bc_x0 0.07163310050964355, bc_x1 0.07592113316059113, int 1.4026505947113037\n",
            "ep 3600, total 2.0298843383789062, ic 0.4414540231227875, ic_v 0.05216129869222641, bc_x0 0.06825795769691467, bc_x1 0.07734442502260208, int 1.3906314373016357\n",
            "ep 3700, total 2.0207877159118652, ic 0.4338107109069824, ic_v 0.05244675278663635, bc_x0 0.0695931538939476, bc_x1 0.0745660737156868, int 1.390336036682129\n",
            "ep 3800, total 2.009276866912842, ic 0.4354380667209625, ic_v 0.05225277319550514, bc_x0 0.06905044615268707, bc_x1 0.07507216930389404, int 1.377428412437439\n",
            "ep 3900, total 2.0261621475219727, ic 0.4260331988334656, ic_v 0.048448748886585236, bc_x0 0.08146081119775772, bc_x1 0.08354596793651581, int 1.3866384029388428\n",
            "ep 4000, total 2.0051963329315186, ic 0.44096997380256653, ic_v 0.0507611408829689, bc_x0 0.06439359486103058, bc_x1 0.08957787603139877, int 1.3594588041305542\n",
            "ep 4100, total 1.9752737283706665, ic 0.4201270043849945, ic_v 0.05001700296998024, bc_x0 0.06667561084032059, bc_x1 0.07336235791444778, int 1.3650565147399902\n",
            "ep 4200, total 1.9979161024093628, ic 0.4152087867259979, ic_v 0.04708625376224518, bc_x0 0.07450199127197266, bc_x1 0.08909809589385986, int 1.3719857931137085\n",
            "ep 4300, total 1.967180848121643, ic 0.42061927914619446, ic_v 0.05026156082749367, bc_x0 0.07647133618593216, bc_x1 0.0706617534160614, int 1.3491315841674805\n",
            "ep 4400, total 1.9660000801086426, ic 0.4274218678474426, ic_v 0.049740929156541824, bc_x0 0.07105673104524612, bc_x1 0.08517850935459137, int 1.332566738128662\n",
            "ep 4500, total 1.9541279077529907, ic 0.4119527041912079, ic_v 0.04492490366101265, bc_x0 0.0849248468875885, bc_x1 0.07170102000236511, int 1.340589165687561\n",
            "ep 4600, total 1.91190505027771, ic 0.40554478764533997, ic_v 0.046851467341184616, bc_x0 0.06194167211651802, bc_x1 0.06818094104528427, int 1.3293509483337402\n",
            "ep 4700, total 1.8998152017593384, ic 0.4037657380104065, ic_v 0.04621726647019386, bc_x0 0.06093427166342735, bc_x1 0.06776793301105499, int 1.3210946321487427\n",
            "ep 4800, total 1.889173984527588, ic 0.40035784244537354, ic_v 0.04581293836236, bc_x0 0.06094934791326523, bc_x1 0.06692061573266983, int 1.3150978088378906\n",
            "ep 4900, total 1.8788063526153564, ic 0.3995589017868042, ic_v 0.045225560665130615, bc_x0 0.059892479330301285, bc_x1 0.06772187352180481, int 1.3063721656799316\n",
            "ep 5000, total 1.8797800540924072, ic 0.3983778953552246, ic_v 0.04588603228330612, bc_x0 0.0661357119679451, bc_x1 0.06690514832735062, int 1.30243980884552\n",
            "ep 5100, total 1.9001072645187378, ic 0.41102632880210876, ic_v 0.045946259051561356, bc_x0 0.06623368710279465, bc_x1 0.08994848281145096, int 1.2869170904159546\n",
            "ep 5200, total 1.8625736236572266, ic 0.3960375189781189, ic_v 0.045149900019168854, bc_x0 0.06596138328313828, bc_x1 0.06826656311750412, int 1.2871229648590088\n",
            "ep 5300, total 1.876029372215271, ic 0.38540118932724, ic_v 0.04137446731328964, bc_x0 0.07377131283283234, bc_x1 0.0746297687292099, int 1.3008170127868652\n",
            "ep 5400, total 1.8274670839309692, ic 0.3838595151901245, ic_v 0.042165711522102356, bc_x0 0.05851961299777031, bc_x1 0.0637877807021141, int 1.2790988683700562\n",
            "ep 5500, total 1.8166476488113403, ic 0.38253137469291687, ic_v 0.042274296283721924, bc_x0 0.0568375401198864, bc_x1 0.06381246447563171, int 1.2711564302444458\n",
            "ep 5600, total 1.814154028892517, ic 0.3800990879535675, ic_v 0.04086039960384369, bc_x0 0.05981084331870079, bc_x1 0.06353505700826645, int 1.269813060760498\n",
            "ep 5700, total 1.8313411474227905, ic 0.37265545129776, ic_v 0.0399588942527771, bc_x0 0.06235022470355034, bc_x1 0.07893843948841095, int 1.2774025201797485\n",
            "ep 5800, total 1.7894052267074585, ic 0.3721611797809601, ic_v 0.04086947813630104, bc_x0 0.056100521236658096, bc_x1 0.06158260256052017, int 1.2586559057235718\n",
            "ep 5900, total 1.7773815393447876, ic 0.37095925211906433, ic_v 0.04022515192627907, bc_x0 0.05513950437307358, bc_x1 0.060898806899785995, int 1.250123143196106\n",
            "ep 6000, total 1.7687909603118896, ic 0.36835113167762756, ic_v 0.03956500440835953, bc_x0 0.05555419623851776, bc_x1 0.06053769960999489, int 1.244747281074524\n",
            "ep 6100, total 1.7586790323257446, ic 0.366660475730896, ic_v 0.039487842470407486, bc_x0 0.054238878190517426, bc_x1 0.06041727587580681, int 1.237838864326477\n",
            "ep 6200, total 1.7728087902069092, ic 0.37217050790786743, ic_v 0.040772128850221634, bc_x0 0.06267569959163666, bc_x1 0.0680142343044281, int 1.2291405200958252\n",
            "ep 6300, total 1.7411229610443115, ic 0.3607906699180603, ic_v 0.03889445960521698, bc_x0 0.053513459861278534, bc_x1 0.058535415679216385, int 1.2293531894683838\n",
            "ep 6400, total 1.7310842275619507, ic 0.35917091369628906, ic_v 0.03816106915473938, bc_x0 0.05295952409505844, bc_x1 0.05847838521003723, int 1.2222785949707031\n",
            "ep 6500, total 1.7236477136611938, ic 0.35762864351272583, ic_v 0.03834505006670952, bc_x0 0.05323324352502823, bc_x1 0.05787673965096474, int 1.216528296470642\n",
            "ep 6600, total 1.7135963439941406, ic 0.3534596562385559, ic_v 0.03736778721213341, bc_x0 0.05241411179304123, bc_x1 0.057255685329437256, int 1.213063359260559\n",
            "ep 6700, total 1.7045577764511108, ic 0.3521334230899811, ic_v 0.03711498901247978, bc_x0 0.05172290280461311, bc_x1 0.05694100633263588, int 1.2066097259521484\n",
            "ep 6800, total 1.6963458061218262, ic 0.3501855731010437, ic_v 0.03681424260139465, bc_x0 0.0513865128159523, bc_x1 0.05624808743596077, int 1.2016756534576416\n",
            "ep 6900, total 1.7051851749420166, ic 0.34401315450668335, ic_v 0.03572487831115723, bc_x0 0.05274267867207527, bc_x1 0.06579485535621643, int 1.2068736553192139\n",
            "ep 7000, total 1.6792067289352417, ic 0.3456217348575592, ic_v 0.03608096390962601, bc_x0 0.05057850480079651, bc_x1 0.05563151836395264, int 1.191258192062378\n",
            "ep 7100, total 1.6839001178741455, ic 0.3484804630279541, ic_v 0.036895543336868286, bc_x0 0.055421922355890274, bc_x1 0.05957477539777756, int 1.183491587638855\n",
            "ep 7200, total 1.6660995483398438, ic 0.34593868255615234, ic_v 0.035509079694747925, bc_x0 0.04945271089673042, bc_x1 0.058362409472465515, int 1.1768008470535278\n",
            "ep 7300, total 1.6543225049972534, ic 0.33938589692115784, ic_v 0.03504795953631401, bc_x0 0.04934409260749817, bc_x1 0.05439017340540886, int 1.1761184930801392\n",
            "ep 7400, total 1.64734947681427, ic 0.33576416969299316, ic_v 0.03440839424729347, bc_x0 0.0497739315032959, bc_x1 0.0538179986178875, int 1.1735491752624512\n",
            "ep 7500, total 1.6386356353759766, ic 0.33626699447631836, ic_v 0.03444791957736015, bc_x0 0.04859868809580803, bc_x1 0.05423536151647568, int 1.165050745010376\n",
            "ep 7600, total 1.6363296508789062, ic 0.3336089253425598, ic_v 0.03318195790052414, bc_x0 0.05236023664474487, bc_x1 0.05366875231266022, int 1.1634738445281982\n",
            "ep 7700, total 1.6312590837478638, ic 0.33684757351875305, ic_v 0.03343789651989937, bc_x0 0.05000152066349983, bc_x1 0.06004105508327484, int 1.1508949995040894\n",
            "ep 7800, total 1.6626410484313965, ic 0.33411696553230286, ic_v 0.031568415462970734, bc_x0 0.08024534583091736, bc_x1 0.05557749420404434, int 1.1610968112945557\n",
            "ep 7900, total 1.6067928075790405, ic 0.32723742723464966, ic_v 0.03304135799407959, bc_x0 0.04741954803466797, bc_x1 0.0519365519285202, int 1.1471219062805176\n",
            "ep 8000, total 1.599197506904602, ic 0.324886292219162, ic_v 0.03272102400660515, bc_x0 0.047109056264162064, bc_x1 0.05140428990125656, int 1.1430410146713257\n",
            "ep 8100, total 1.5926415920257568, ic 0.3240916430950165, ic_v 0.03217616677284241, bc_x0 0.0476793609559536, bc_x1 0.05192713811993599, int 1.1367312669754028\n",
            "ep 8200, total 1.5879234075546265, ic 0.3271310329437256, ic_v 0.03207346051931381, bc_x0 0.046365078538656235, bc_x1 0.05368223041296005, int 1.1286355257034302\n",
            "ep 8300, total 1.5768020153045654, ic 0.3190310299396515, ic_v 0.031777966767549515, bc_x0 0.04610796272754669, bc_x1 0.0501684844493866, int 1.1296803951263428\n",
            "ep 8400, total 1.5718060731887817, ic 0.3169238865375519, ic_v 0.03106173314154148, bc_x0 0.04809961095452309, bc_x1 0.049860551953315735, int 1.1258240938186646\n",
            "ep 8500, total 1.562125325202942, ic 0.3160009980201721, ic_v 0.031152665615081787, bc_x0 0.04576009511947632, bc_x1 0.04981163144111633, int 1.119363784790039\n",
            "ep 8600, total 1.558654546737671, ic 0.3124810457229614, ic_v 0.030500920489430428, bc_x0 0.047014035284519196, bc_x1 0.049841634929180145, int 1.1187808513641357\n",
            "ep 8700, total 1.5475506782531738, ic 0.31172534823417664, ic_v 0.0306589026004076, bc_x0 0.04500095173716545, bc_x1 0.0487825982272625, int 1.11134672164917\n",
            "ep 8800, total 1.5403988361358643, ic 0.31021592020988464, ic_v 0.03041890263557434, bc_x0 0.04464453086256981, bc_x1 0.048498041927814484, int 1.1065852642059326\n",
            "ep 8900, total 1.5337810516357422, ic 0.3090880811214447, ic_v 0.030378811061382294, bc_x0 0.04437714442610741, bc_x1 0.0484926700592041, int 1.1014081239700317\n",
            "ep 9000, total 1.5315333604812622, ic 0.305848628282547, ic_v 0.029291288927197456, bc_x0 0.047247264534235, bc_x1 0.04846549779176712, int 1.1006443500518799\n",
            "ep 9100, total 1.5234118700027466, ic 0.30706220865249634, ic_v 0.029403768479824066, bc_x0 0.04581952467560768, bc_x1 0.05041106790304184, int 1.0906790494918823\n",
            "ep 9200, total 1.513012170791626, ic 0.3047195076942444, ic_v 0.02907966822385788, bc_x0 0.044195786118507385, bc_x1 0.04741706699132919, int 1.0875638723373413\n",
            "ep 9300, total 1.5055326223373413, ic 0.3015415370464325, ic_v 0.02909991703927517, bc_x0 0.04329569637775421, bc_x1 0.04684770852327347, int 1.0847114324569702\n",
            "ep 9400, total 1.4988219738006592, ic 0.29974403977394104, ic_v 0.028811851516366005, bc_x0 0.04312632605433464, bc_x1 0.04640612378716469, int 1.0806972980499268\n",
            "ep 9500, total 1.4922571182250977, ic 0.29801225662231445, ic_v 0.028575994074344635, bc_x0 0.04278437793254852, bc_x1 0.04609799012541771, int 1.0767501592636108\n",
            "ep 9600, total 1.485982060432434, ic 0.2968441843986511, ic_v 0.028470292687416077, bc_x0 0.04265286400914192, bc_x1 0.045808568596839905, int 1.0721697807312012\n",
            "ep 9700, total 1.4812452793121338, ic 0.29316332936286926, ic_v 0.027996564283967018, bc_x0 0.04241522401571274, bc_x1 0.0460379496216774, int 1.0715957880020142\n",
            "ep 9800, total 1.4741710424423218, ic 0.29561564326286316, ic_v 0.02798537164926529, bc_x0 0.04154030233621597, bc_x1 0.04713704437017441, int 1.0618563890457153\n",
            "ep 9900, total 1.473986268043518, ic 0.29118651151657104, ic_v 0.027037644758820534, bc_x0 0.04588800668716431, bc_x1 0.04625323787331581, int 1.0635844469070435\n",
            "ep 10000, total 1.472390055656433, ic 0.2903693914413452, ic_v 0.028110377490520477, bc_x0 0.04648156091570854, bc_x1 0.04615847021341324, int 1.0612337589263916\n",
            "ep 10100, total 1.4532337188720703, ic 0.2879542410373688, ic_v 0.027058539912104607, bc_x0 0.041458845138549805, bc_x1 0.0441926047205925, int 1.0525330305099487\n",
            "ep 10200, total 1.4467576742172241, ic 0.2863379418849945, ic_v 0.026962190866470337, bc_x0 0.04100336134433746, bc_x1 0.04387408122420311, int 1.0485436916351318\n",
            "ep 10300, total 1.4460035562515259, ic 0.2831335663795471, ic_v 0.02648266591131687, bc_x0 0.041288599371910095, bc_x1 0.04613346606492996, int 1.0489287376403809\n",
            "ep 10400, total 1.4430923461914062, ic 0.28223082423210144, ic_v 0.025874091312289238, bc_x0 0.04430008679628372, bc_x1 0.04574652388691902, int 1.044904351234436\n",
            "ep 10500, total 1.4399586915969849, ic 0.2904413640499115, ic_v 0.02554447390139103, bc_x0 0.04641024395823479, bc_x1 0.046504050493240356, int 1.0310221910476685\n",
            "ep 10600, total 1.4233530759811401, ic 0.28170356154441833, ic_v 0.026370897889137268, bc_x0 0.0408288799226284, bc_x1 0.04356123134493828, int 1.0308520793914795\n",
            "ep 10700, total 1.4154573678970337, ic 0.27966490387916565, ic_v 0.025792093947529793, bc_x0 0.03982735797762871, bc_x1 0.04277227818965912, int 1.0273641347885132\n",
            "ep 10800, total 1.4103349447250366, ic 0.27952840924263, ic_v 0.025697778910398483, bc_x0 0.03966081514954567, bc_x1 0.043566495180130005, int 1.0218448638916016\n",
            "ep 10900, total 1.4049502611160278, ic 0.2759540379047394, ic_v 0.025302564725279808, bc_x0 0.04037466645240784, bc_x1 0.0419728122651577, int 1.0213096141815186\n",
            "ep 11000, total 1.3975502252578735, ic 0.2753528654575348, ic_v 0.025224488228559494, bc_x0 0.039182115346193314, bc_x1 0.042147260159254074, int 1.0156068801879883\n",
            "ep 11100, total 1.4104104042053223, ic 0.27866315841674805, ic_v 0.026195965707302094, bc_x0 0.04910118132829666, bc_x1 0.044753432273864746, int 1.0116599798202515\n",
            "ep 11200, total 1.3882642984390259, ic 0.2713169753551483, ic_v 0.024448461830615997, bc_x0 0.04007513076066971, bc_x1 0.04164856672286987, int 1.0107386112213135\n",
            "ep 11300, total 1.3803175687789917, ic 0.271489679813385, ic_v 0.02465163730084896, bc_x0 0.038259658962488174, bc_x1 0.0414942167699337, int 1.0043857097625732\n",
            "ep 11400, total 1.3742231130599976, ic 0.26972904801368713, ic_v 0.024494552984833717, bc_x0 0.03832957521080971, bc_x1 0.0411500483751297, int 1.0004831552505493\n",
            "ep 11500, total 1.3740901947021484, ic 0.26761114597320557, ic_v 0.023664230480790138, bc_x0 0.04125240817666054, bc_x1 0.04153567552566528, int 0.9999900460243225\n",
            "ep 11600, total 1.3637601137161255, ic 0.2686050832271576, ic_v 0.023879922926425934, bc_x0 0.03813546895980835, bc_x1 0.04134313017129898, int 0.9917598962783813\n",
            "ep 11700, total 1.3773781061172485, ic 0.27124109864234924, ic_v 0.02504447102546692, bc_x0 0.04454438388347626, bc_x1 0.049830883741378784, int 0.9866806268692017\n",
            "ep 11800, total 1.351178765296936, ic 0.2637772262096405, ic_v 0.02365291491150856, bc_x0 0.037572067230939865, bc_x1 0.03988547623157501, int 0.9862543344497681\n",
            "ep 11900, total 1.3457250595092773, ic 0.2630836069583893, ic_v 0.0233683492988348, bc_x0 0.037419166415929794, bc_x1 0.03981666639447212, int 0.9820005297660828\n",
            "ep 12000, total 1.3413115739822388, ic 0.2623165249824524, ic_v 0.023500483483076096, bc_x0 0.03749829903244972, bc_x1 0.04035865515470505, int 0.9776008725166321\n",
            "ep 12100, total 1.3434206247329712, ic 0.2597210109233856, ic_v 0.023605233058333397, bc_x0 0.039163414388895035, bc_x1 0.03987959772348404, int 0.981014609336853\n",
            "ep 12200, total 1.3403061628341675, ic 0.2571716904640198, ic_v 0.02263171225786209, bc_x0 0.0378321073949337, bc_x1 0.043914347887039185, int 0.9787196516990662\n",
            "ep 12300, total 1.3238407373428345, ic 0.2579086124897003, ic_v 0.02280796691775322, bc_x0 0.036426037549972534, bc_x1 0.03941447287797928, int 0.9672467708587646\n",
            "ep 12400, total 1.32008695602417, ic 0.2566276490688324, ic_v 0.022910013794898987, bc_x0 0.03735407441854477, bc_x1 0.03883040323853493, int 0.9643279314041138\n",
            "ep 12500, total 1.3128811120986938, ic 0.2548518478870392, ic_v 0.022426806390285492, bc_x0 0.0361785814166069, bc_x1 0.0384344644844532, int 0.9609525799751282\n",
            "ep 12600, total 1.3084616661071777, ic 0.25290077924728394, ic_v 0.022115031257271767, bc_x0 0.036008354276418686, bc_x1 0.03815709799528122, int 0.9592435359954834\n",
            "ep 12700, total 1.306659460067749, ic 0.2528308033943176, ic_v 0.022494135424494743, bc_x0 0.03833300247788429, bc_x1 0.03789019212126732, int 0.9550743699073792\n",
            "ep 12800, total 1.297141671180725, ic 0.25111985206604004, ic_v 0.021932130679488182, bc_x0 0.03564279153943062, bc_x1 0.037787649780511856, int 0.9506224393844604\n",
            "ep 12900, total 1.2920225858688354, ic 0.2498253732919693, ic_v 0.021690519526600838, bc_x0 0.03563331440091133, bc_x1 0.03761714696884155, int 0.9472193121910095\n",
            "ep 13000, total 1.2869240045547485, ic 0.2486259937286377, ic_v 0.021672260016202927, bc_x0 0.03535075485706329, bc_x1 0.03724231570959091, int 0.9439958333969116\n",
            "ep 13100, total 1.2822030782699585, ic 0.2467992752790451, ic_v 0.02148292399942875, bc_x0 0.035119593143463135, bc_x1 0.03694184496998787, int 0.9418224096298218\n",
            "ep 13200, total 1.276769757270813, ic 0.24692539870738983, ic_v 0.02116032876074314, bc_x0 0.03516647219657898, bc_x1 0.037334807217121124, int 0.9361457824707031\n",
            "ep 13300, total 1.272074580192566, ic 0.2442767173051834, ic_v 0.020978441461920738, bc_x0 0.03506609424948692, bc_x1 0.036709632724523544, int 0.9350066184997559\n",
            "ep 13400, total 1.286320447921753, ic 0.25027376413345337, ic_v 0.02019990235567093, bc_x0 0.046254392713308334, bc_x1 0.037670426070690155, int 0.9318851232528687\n",
            "ep 13500, total 1.2613552808761597, ic 0.24332445859909058, ic_v 0.020877709612250328, bc_x0 0.034439705312252045, bc_x1 0.03684530407190323, int 0.925831139087677\n",
            "ep 13600, total 1.267004132270813, ic 0.24889174103736877, ic_v 0.02016948163509369, bc_x0 0.038545724004507065, bc_x1 0.041089724749326706, int 0.918270468711853\n",
            "ep 13700, total 1.254314661026001, ic 0.2394677847623825, ic_v 0.020172230899333954, bc_x0 0.03551042079925537, bc_x1 0.036603011190891266, int 0.9225243330001831\n",
            "ep 13800, total 1.2463864088058472, ic 0.23962019383907318, ic_v 0.02036084048449993, bc_x0 0.03421834111213684, bc_x1 0.03558767959475517, int 0.9165624976158142\n",
            "ep 13900, total 1.2411609888076782, ic 0.23819303512573242, ic_v 0.02022312954068184, bc_x0 0.03377798944711685, bc_x1 0.03572545573115349, int 0.9132043719291687\n",
            "ep 14000, total 1.2412984371185303, ic 0.2375510334968567, ic_v 0.02064194343984127, bc_x0 0.03541303053498268, bc_x1 0.035028018057346344, int 0.9126273393630981\n",
            "ep 14100, total 1.2314825057983398, ic 0.23578785359859467, ic_v 0.019870400428771973, bc_x0 0.03354383260011673, bc_x1 0.03525788336992264, int 0.9069854021072388\n",
            "ep 14200, total 1.2266896963119507, ic 0.234927237033844, ic_v 0.019755223765969276, bc_x0 0.0333455353975296, bc_x1 0.03518551588058472, int 0.9034389853477478\n",
            "ep 14300, total 1.2219831943511963, ic 0.23391523957252502, ic_v 0.019627025350928307, bc_x0 0.033148545771837234, bc_x1 0.035048529505729675, int 0.9002068042755127\n",
            "ep 14400, total 1.2184350490570068, ic 0.2342803180217743, ic_v 0.019379224628210068, bc_x0 0.03342977166175842, bc_x1 0.03607822582125664, int 0.8952304720878601\n",
            "ep 14500, total 1.218438982963562, ic 0.22996924817562103, ic_v 0.019058912992477417, bc_x0 0.034164220094680786, bc_x1 0.03662483021616936, int 0.8985847234725952\n",
            "ep 14600, total 1.2079393863677979, ic 0.23055499792099, ic_v 0.019194912165403366, bc_x0 0.03276127204298973, bc_x1 0.03447219729423523, int 0.8909189701080322\n",
            "ep 14700, total 1.2033263444900513, ic 0.22936712205410004, ic_v 0.019109191372990608, bc_x0 0.03253643587231636, bc_x1 0.034193217754364014, int 0.8880833387374878\n",
            "ep 14800, total 1.1992779970169067, ic 0.2278689593076706, ic_v 0.018866892904043198, bc_x0 0.03252377361059189, bc_x1 0.03405458480119705, int 0.8859267234802246\n",
            "ep 14900, total 1.1976655721664429, ic 0.22808022797107697, ic_v 0.01928125135600567, bc_x0 0.034075599163770676, bc_x1 0.03404853120446205, int 0.8821427822113037\n",
            "ep 15000, total 1.1902412176132202, ic 0.2271576076745987, ic_v 0.01859915815293789, bc_x0 0.03237033635377884, bc_x1 0.03446567803621292, int 0.8776112198829651\n",
            "ep 15100, total 1.1860281229019165, ic 0.22598107159137726, ic_v 0.01874990575015545, bc_x0 0.032623033970594406, bc_x1 0.03360065817832947, int 0.8750362396240234\n",
            "ep 15200, total 1.204819917678833, ic 0.2253328412771225, ic_v 0.017655732110142708, bc_x0 0.04375127702951431, bc_x1 0.03859741613268852, int 0.879445493221283\n",
            "ep 15300, total 1.1858325004577637, ic 0.2298143208026886, ic_v 0.01817379891872406, bc_x0 0.032776761800050735, bc_x1 0.03967620059847832, int 0.8653542995452881\n",
            "ep 15400, total 1.1720463037490845, ic 0.2227337807416916, ic_v 0.018024194985628128, bc_x0 0.032127734273672104, bc_x1 0.03334716707468033, int 0.8657763004302979\n",
            "ep 15500, total 1.1679106950759888, ic 0.22046440839767456, ic_v 0.018023919314146042, bc_x0 0.03141564875841141, bc_x1 0.03303457424044609, int 0.8649348616600037\n",
            "ep 15600, total 1.1657850742340088, ic 0.22292858362197876, ic_v 0.017942575737833977, bc_x0 0.031350426375865936, bc_x1 0.03666573017835617, int 0.8568606376647949\n",
            "ep 15700, total 1.2000285387039185, ic 0.21896855533123016, ic_v 0.01695128343999386, bc_x0 0.04216926172375679, bc_x1 0.05022990703582764, int 0.8716723918914795\n",
            "ep 15800, total 1.154059886932373, ic 0.2186363786458969, ic_v 0.01761878840625286, bc_x0 0.03118249401450157, bc_x1 0.03267303481698036, int 0.8539119362831116\n",
            "ep 15900, total 1.1518337726593018, ic 0.2192695140838623, ic_v 0.017763428390026093, bc_x0 0.03089332953095436, bc_x1 0.03512919321656227, int 0.8487409949302673\n",
            "ep 16000, total 1.1590824127197266, ic 0.21737533807754517, ic_v 0.01710795983672142, bc_x0 0.03559374064207077, bc_x1 0.033369142562150955, int 0.8555989265441895\n",
            "ep 16100, total 1.1881024837493896, ic 0.21653896570205688, ic_v 0.01647423394024372, bc_x0 0.04533795267343521, bc_x1 0.050468482077121735, int 0.8592455983161926\n",
            "ep 16200, total 1.1420284509658813, ic 0.21529677510261536, ic_v 0.017740409821271896, bc_x0 0.03369499370455742, bc_x1 0.03186972066760063, int 0.8433892130851746\n",
            "ep 16300, total 1.1336668729782104, ic 0.21341538429260254, ic_v 0.016936009749770164, bc_x0 0.030983638018369675, bc_x1 0.03201344236731529, int 0.8402811288833618\n",
            "ep 16400, total 1.1283236742019653, ic 0.21255654096603394, ic_v 0.017021754756569862, bc_x0 0.030264053493738174, bc_x1 0.031669843941926956, int 0.8367742300033569\n",
            "ep 16500, total 1.1294983625411987, ic 0.211723193526268, ic_v 0.0171810369938612, bc_x0 0.03159600496292114, bc_x1 0.03207879886031151, int 0.8368819952011108\n",
            "ep 16600, total 1.1211169958114624, ic 0.21202783286571503, ic_v 0.016751350834965706, bc_x0 0.03010980412364006, bc_x1 0.03290301561355591, int 0.8292876482009888\n",
            "ep 16700, total 1.1159274578094482, ic 0.2106519639492035, ic_v 0.016748737543821335, bc_x0 0.029796550050377846, bc_x1 0.03198776766657829, int 0.8267050981521606\n",
            "ep 16800, total 1.1122236251831055, ic 0.20867127180099487, ic_v 0.016467757523059845, bc_x0 0.02995303086936474, bc_x1 0.031269621104002, int 0.825824499130249\n",
            "ep 16900, total 1.112091302871704, ic 0.2092018723487854, ic_v 0.016950564458966255, bc_x0 0.03241507336497307, bc_x1 0.031205564737319946, int 0.8222808241844177\n",
            "ep 17000, total 1.1033488512039185, ic 0.20749007165431976, ic_v 0.016365230083465576, bc_x0 0.02942844294011593, bc_x1 0.03102945350110531, int 0.8189982175827026\n",
            "ep 17100, total 1.0993648767471313, ic 0.2065436691045761, ic_v 0.01627963036298752, bc_x0 0.029216144233942032, bc_x1 0.03093206137418747, int 0.8163558840751648\n",
            "ep 17200, total 1.0954211950302124, ic 0.20613199472427368, ic_v 0.01615739054977894, bc_x0 0.02914573810994625, bc_x1 0.03106488287448883, int 0.8128837943077087\n",
            "ep 17300, total 1.1099706888198853, ic 0.2171478420495987, ic_v 0.015722813084721565, bc_x0 0.03235870972275734, bc_x1 0.040761902928352356, int 0.8039418458938599\n",
            "ep 17400, total 1.1042531728744507, ic 0.20711778104305267, ic_v 0.01677696965634823, bc_x0 0.03936994448304176, bc_x1 0.030911359935998917, int 0.810039758682251\n",
            "ep 17500, total 1.0835678577423096, ic 0.2032972127199173, ic_v 0.015865737572312355, bc_x0 0.028808163478970528, bc_x1 0.03050312213599682, int 0.8050561547279358\n",
            "ep 17600, total 1.079825520515442, ic 0.2028529942035675, ic_v 0.01572209782898426, bc_x0 0.028705641627311707, bc_x1 0.03069608472287655, int 0.8018113970756531\n",
            "ep 17700, total 1.102175235748291, ic 0.21183346211910248, ic_v 0.015126860700547695, bc_x0 0.041215088218450546, bc_x1 0.039067599922418594, int 0.794894814491272\n",
            "ep 17800, total 1.0724189281463623, ic 0.20151184499263763, ic_v 0.015621577389538288, bc_x0 0.028467800468206406, bc_x1 0.03081083483994007, int 0.7959694266319275\n",
            "ep 17900, total 1.0686724185943604, ic 0.1999746710062027, ic_v 0.015318064019083977, bc_x0 0.02880816161632538, bc_x1 0.029981747269630432, int 0.7945522665977478\n",
            "ep 18000, total 1.0720796585083008, ic 0.20108620822429657, ic_v 0.01485562976449728, bc_x0 0.03272416815161705, bc_x1 0.030573684722185135, int 0.7928023934364319\n",
            "ep 18100, total 1.072668433189392, ic 0.19727768003940582, ic_v 0.015234184451401234, bc_x0 0.029948754236102104, bc_x1 0.03315499797463417, int 0.797015368938446\n",
            "ep 18200, total 1.0568102598190308, ic 0.19753919541835785, ic_v 0.015220449306070805, bc_x0 0.027991605922579765, bc_x1 0.029697289690375328, int 0.7863240838050842\n",
            "ep 18300, total 1.0531036853790283, ic 0.19693849980831146, ic_v 0.015075881965458393, bc_x0 0.02788773737847805, bc_x1 0.029607918113470078, int 0.7835561633110046\n",
            "ep 18400, total 1.051274061203003, ic 0.19800372421741486, ic_v 0.014851310290396214, bc_x0 0.028099849820137024, bc_x1 0.03041808307170868, int 0.7798635959625244\n",
            "ep 18500, total 1.0526350736618042, ic 0.19440707564353943, ic_v 0.01467301044613123, bc_x0 0.02869122475385666, bc_x1 0.032583195716142654, int 0.7822429537773132\n",
            "ep 18600, total 1.0420664548873901, ic 0.19457383453845978, ic_v 0.014842519536614418, bc_x0 0.027513157576322556, bc_x1 0.029395896941423416, int 0.7757034301757812\n",
            "ep 18700, total 1.038430094718933, ic 0.1936960220336914, ic_v 0.01471903920173645, bc_x0 0.02742091566324234, bc_x1 0.02916085533797741, int 0.7733957171440125\n",
            "ep 18800, total 1.0350421667099, ic 0.1931101381778717, ic_v 0.014714229851961136, bc_x0 0.027465779334306717, bc_x1 0.02905796281993389, int 0.7706565260887146\n",
            "ep 18900, total 1.0318509340286255, ic 0.19364728033542633, ic_v 0.014453000389039516, bc_x0 0.02723647467792034, bc_x1 0.029490776360034943, int 0.7669858336448669\n",
            "ep 19000, total 1.0303610563278198, ic 0.19117531180381775, ic_v 0.014466528780758381, bc_x0 0.027907170355319977, bc_x1 0.028862986713647842, int 0.767911434173584\n",
            "ep 19100, total 1.026638150215149, ic 0.19455954432487488, ic_v 0.014368406496942043, bc_x0 0.026837904006242752, bc_x1 0.03051479533314705, int 0.7603198289871216\n",
            "ep 19200, total 1.0222687721252441, ic 0.19130831956863403, ic_v 0.014390469528734684, bc_x0 0.026933278888463974, bc_x1 0.030769212171435356, int 0.7588298916816711\n",
            "ep 19300, total 1.017932415008545, ic 0.18873192369937897, ic_v 0.014152412302792072, bc_x0 0.027060491964221, bc_x1 0.028541237115859985, int 0.7594086527824402\n",
            "ep 19400, total 1.0139554738998413, ic 0.18930281698703766, ic_v 0.014142366126179695, bc_x0 0.026924405246973038, bc_x1 0.028338180854916573, int 0.7552100419998169\n",
            "ep 19500, total 1.0100151300430298, ic 0.18768930435180664, ic_v 0.014027680270373821, bc_x0 0.02653607353568077, bc_x1 0.028357427567243576, int 0.753367006778717\n",
            "ep 19600, total 1.0065604448318481, ic 0.18714413046836853, ic_v 0.013979523442685604, bc_x0 0.026387089863419533, bc_x1 0.02846430242061615, int 0.7505477070808411\n",
            "ep 19700, total 1.0033520460128784, ic 0.18678103387355804, ic_v 0.013763347640633583, bc_x0 0.02640283852815628, bc_x1 0.0281839519739151, int 0.7481831908226013\n",
            "ep 19800, total 0.9997347593307495, ic 0.18558695912361145, ic_v 0.01379457302391529, bc_x0 0.026248592883348465, bc_x1 0.028066013008356094, int 0.7460008859634399\n",
            "ep 19900, total 0.9965465068817139, ic 0.18487149477005005, ic_v 0.013636384159326553, bc_x0 0.026246171444654465, bc_x1 0.028002073988318443, int 0.743752658367157\n",
            "ep 20000, total 0.9932008385658264, ic 0.18409527838230133, ic_v 0.013673815876245499, bc_x0 0.026176247745752335, bc_x1 0.02787432074546814, int 0.7413434386253357\n",
            "ep 20100, total 0.9927033185958862, ic 0.18348577618598938, ic_v 0.013250223360955715, bc_x0 0.027367014437913895, bc_x1 0.028396211564540863, int 0.740166425704956\n",
            "ep 20200, total 0.9872948527336121, ic 0.18380308151245117, ic_v 0.013312019407749176, bc_x0 0.026413733139634132, bc_x1 0.02787407673895359, int 0.7358542680740356\n",
            "ep 20300, total 1.0056098699569702, ic 0.18407617509365082, ic_v 0.013928928412497044, bc_x0 0.03480449691414833, bc_x1 0.02830144390463829, int 0.7444609999656677\n",
            "ep 20400, total 0.9813637137413025, ic 0.18246081471443176, ic_v 0.013503771275281906, bc_x0 0.026377486065030098, bc_x1 0.02822094038128853, int 0.7307628989219666\n",
            "ep 20500, total 0.9786762595176697, ic 0.18083162605762482, ic_v 0.013057401403784752, bc_x0 0.026262275874614716, bc_x1 0.02801104448735714, int 0.7304761409759521\n",
            "ep 20600, total 1.0109968185424805, ic 0.19517135620117188, ic_v 0.012690816074609756, bc_x0 0.03770042955875397, bc_x1 0.03973902016878128, int 0.7256574630737305\n",
            "ep 20700, total 0.9790560007095337, ic 0.17927581071853638, ic_v 0.01266950648277998, bc_x0 0.029156457632780075, bc_x1 0.02954636514186859, int 0.7283700704574585\n",
            "ep 20800, total 0.9670029878616333, ic 0.17898888885974884, ic_v 0.012992937117815018, bc_x0 0.025246214121580124, bc_x1 0.027322134003043175, int 0.7224150896072388\n",
            "ep 20900, total 0.9847650527954102, ic 0.18652281165122986, ic_v 0.012632650323212147, bc_x0 0.0318482480943203, bc_x1 0.037538375705480576, int 0.7161852121353149\n",
            "ep 21000, total 0.9866178035736084, ic 0.17917920649051666, ic_v 0.012232786044478416, bc_x0 0.03521522879600525, bc_x1 0.03509346768260002, int 0.7248592376708984\n",
            "ep 21100, total 0.9575946927070618, ic 0.17704741656780243, ic_v 0.012791138142347336, bc_x0 0.024945026263594627, bc_x1 0.02709033340215683, int 0.7156829237937927\n",
            "ep 21200, total 0.9549952745437622, ic 0.1768054962158203, ic_v 0.012844264507293701, bc_x0 0.024926546961069107, bc_x1 0.027387239038944244, int 0.712993860244751\n",
            "ep 21300, total 0.9526306986808777, ic 0.17512007057666779, ic_v 0.01264261920005083, bc_x0 0.0246956218034029, bc_x1 0.02722156047821045, int 0.7129129767417908\n",
            "ep 21400, total 0.9492873549461365, ic 0.17461752891540527, ic_v 0.012580690905451775, bc_x0 0.024861199781298637, bc_x1 0.026890749111771584, int 0.7102993130683899\n",
            "ep 21500, total 0.945271909236908, ic 0.17453604936599731, ic_v 0.012496724724769592, bc_x0 0.0245711300522089, bc_x1 0.0267629437148571, int 0.7068672180175781\n",
            "ep 21600, total 0.9423840641975403, ic 0.17401713132858276, ic_v 0.012440475635230541, bc_x0 0.024473944678902626, bc_x1 0.0269082672894001, int 0.7045062780380249\n",
            "ep 21700, total 0.9393863081932068, ic 0.17347857356071472, ic_v 0.012387242168188095, bc_x0 0.024312855675816536, bc_x1 0.026726115494966507, int 0.7024435997009277\n",
            "ep 21800, total 0.9363755583763123, ic 0.17266464233398438, ic_v 0.012328140437602997, bc_x0 0.02428179420530796, bc_x1 0.026516098529100418, int 0.7005469799041748\n",
            "ep 21900, total 0.9353730082511902, ic 0.17202621698379517, ic_v 0.012024630792438984, bc_x0 0.02532011829316616, bc_x1 0.026677466928958893, int 0.6992866396903992\n",
            "ep 22000, total 0.9305180907249451, ic 0.1716705709695816, ic_v 0.012190357781946659, bc_x0 0.024100612848997116, bc_x1 0.026461251080036163, int 0.6960574388504028\n",
            "ep 22100, total 0.928924024105072, ic 0.17192143201828003, ic_v 0.012267772108316422, bc_x0 0.024334507063031197, bc_x1 0.027292611077427864, int 0.6930698156356812\n",
            "ep 22200, total 0.9257508516311646, ic 0.17123882472515106, ic_v 0.011969794519245625, bc_x0 0.024073047563433647, bc_x1 0.02671828120946884, int 0.6917129755020142\n",
            "ep 22300, total 0.9257440567016602, ic 0.16915395855903625, ic_v 0.011767219752073288, bc_x0 0.02464214153587818, bc_x1 0.027724720537662506, int 0.6924179792404175\n",
            "ep 22400, total 0.9256591796875, ic 0.17146086692810059, ic_v 0.012327867560088634, bc_x0 0.026256533339619637, bc_x1 0.029134240001440048, int 0.6864417195320129\n",
            "ep 22500, total 0.9236334562301636, ic 0.1697152704000473, ic_v 0.012065203860402107, bc_x0 0.023811189457774162, bc_x1 0.02875768020749092, int 0.6892461776733398\n",
            "ep 22600, total 0.9506855607032776, ic 0.173292338848114, ic_v 0.010965872555971146, bc_x0 0.04488711059093475, bc_x1 0.031247993931174278, int 0.690254271030426\n",
            "ep 22700, total 0.9426559209823608, ic 0.17316561937332153, ic_v 0.012764940038323402, bc_x0 0.03347828984260559, bc_x1 0.041740093380212784, int 0.6814689636230469\n",
            "ep 22800, total 0.9086731672286987, ic 0.16775573790073395, ic_v 0.011552334763109684, bc_x0 0.023827407509088516, bc_x1 0.026236217468976974, int 0.6792634129524231\n",
            "ep 22900, total 0.9073845744132996, ic 0.16781415045261383, ic_v 0.011784635484218597, bc_x0 0.023530706763267517, bc_x1 0.028046665713191032, int 0.6761704087257385\n",
            "ep 23000, total 0.9021996855735779, ic 0.16601966321468353, ic_v 0.011556676588952541, bc_x0 0.02324318327009678, bc_x1 0.025749478489160538, int 0.6755926609039307\n",
            "ep 23100, total 0.8996434211730957, ic 0.16563880443572998, ic_v 0.011414076201617718, bc_x0 0.023240940645337105, bc_x1 0.025682706385850906, int 0.6736288666725159\n",
            "ep 23200, total 0.8972872495651245, ic 0.16442401707172394, ic_v 0.011465894989669323, bc_x0 0.02312871813774109, bc_x1 0.025503763929009438, int 0.6727268695831299\n",
            "ep 23300, total 0.8978351950645447, ic 0.1668425053358078, ic_v 0.01115651335567236, bc_x0 0.024250401183962822, bc_x1 0.0275997556746006, int 0.6679480075836182\n",
            "ep 23400, total 0.8929905295372009, ic 0.16334432363510132, ic_v 0.01149668451398611, bc_x0 0.023128634318709373, bc_x1 0.02532006800174713, int 0.6696628332138062\n",
            "ep 23500, total 0.8887451887130737, ic 0.16335941851139069, ic_v 0.011254614219069481, bc_x0 0.022807925939559937, bc_x1 0.025432433933019638, int 0.6658527255058289\n",
            "ep 23600, total 0.88946533203125, ic 0.1621367335319519, ic_v 0.011114433407783508, bc_x0 0.02281433343887329, bc_x1 0.026438791304826736, int 0.6669229865074158\n",
            "ep 23700, total 0.8836106657981873, ic 0.16215349733829498, ic_v 0.011173710227012634, bc_x0 0.022756271064281464, bc_x1 0.025210794061422348, int 0.6622782945632935\n",
            "ep 23800, total 0.8809797167778015, ic 0.16189634799957275, ic_v 0.01107536256313324, bc_x0 0.022588789463043213, bc_x1 0.025236280634999275, int 0.6601448059082031\n",
            "ep 23900, total 0.8814262747764587, ic 0.16382303833961487, ic_v 0.010914451442658901, bc_x0 0.022929606959223747, bc_x1 0.026958633214235306, int 0.6567624807357788\n",
            "ep 24000, total 0.8759605288505554, ic 0.1608046293258667, ic_v 0.010984079912304878, bc_x0 0.02241995371878147, bc_x1 0.025115452706813812, int 0.6565983891487122\n",
            "ep 24100, total 0.8907240629196167, ic 0.16798996925354004, ic_v 0.010421347804367542, bc_x0 0.03172292187809944, bc_x1 0.026425009593367577, int 0.6541267037391663\n",
            "ep 24200, total 0.871039867401123, ic 0.15997692942619324, ic_v 0.010814502835273743, bc_x0 0.022365665063261986, bc_x1 0.024956269189715385, int 0.652888298034668\n",
            "ep 24300, total 0.8729528188705444, ic 0.16082993149757385, ic_v 0.011137033812701702, bc_x0 0.023367086425423622, bc_x1 0.027627041563391685, int 0.6499535441398621\n",
            "ep 24400, total 0.8659554719924927, ic 0.15890057384967804, ic_v 0.010771793313324451, bc_x0 0.022096779197454453, bc_x1 0.024902157485485077, int 0.6492460370063782\n",
            "ep 24500, total 0.8657014966011047, ic 0.15765292942523956, ic_v 0.010576766915619373, bc_x0 0.022409826517105103, bc_x1 0.025554241612553596, int 0.6494695544242859\n",
            "ep 24600, total 0.8931137919425964, ic 0.16298982501029968, ic_v 0.011736243031919003, bc_x0 0.04286454617977142, bc_x1 0.024186845868825912, int 0.6512981653213501\n",
            "ep 24700, total 0.8589367866516113, ic 0.15725067257881165, ic_v 0.010536623187363148, bc_x0 0.021964525803923607, bc_x1 0.024707704782485962, int 0.6444390416145325\n",
            "ep 24800, total 0.8561855554580688, ic 0.15704144537448883, ic_v 0.010511470958590508, bc_x0 0.021841581910848618, bc_x1 0.02464831992983818, int 0.6421045660972595\n",
            "ep 24900, total 0.8606157302856445, ic 0.15576116740703583, ic_v 0.010333187878131866, bc_x0 0.022080175578594208, bc_x1 0.02869282104074955, int 0.6437101364135742\n",
            "ep 25000, total 0.8990996479988098, ic 0.1647496074438095, ic_v 0.011725883930921555, bc_x0 0.038738977164030075, bc_x1 0.04394923895597458, int 0.6398977637290955\n",
            "ep 25100, total 0.8595029711723328, ic 0.15693528950214386, ic_v 0.011006280779838562, bc_x0 0.028679130598902702, bc_x1 0.02425386756658554, int 0.6385902166366577\n",
            "ep 25200, total 0.8725723624229431, ic 0.16072258353233337, ic_v 0.010883346199989319, bc_x0 0.023303382098674774, bc_x1 0.044536881148815155, int 0.6330879330635071\n",
            "ep 25300, total 0.8545600771903992, ic 0.1548457145690918, ic_v 0.009934157133102417, bc_x0 0.02540299855172634, bc_x1 0.02689090371131897, int 0.6374481320381165\n",
            "ep 25400, total 0.84213787317276, ic 0.15449954569339752, ic_v 0.01029751542955637, bc_x0 0.02132444456219673, bc_x1 0.024675678461790085, int 0.6313024759292603\n",
            "ep 25500, total 0.8405388593673706, ic 0.15473367273807526, ic_v 0.010158802382647991, bc_x0 0.021456748247146606, bc_x1 0.025258341804146767, int 0.6288930773735046\n",
            "ep 25600, total 0.8373271822929382, ic 0.1533186435699463, ic_v 0.010191544890403748, bc_x0 0.02123809978365898, bc_x1 0.024188144132494926, int 0.6283524632453918\n",
            "ep 25700, total 0.8350875973701477, ic 0.15296711027622223, ic_v 0.010112753137946129, bc_x0 0.021137984469532967, bc_x1 0.024186264723539352, int 0.6266452074050903\n",
            "ep 25800, total 0.8344069123268127, ic 0.1524258702993393, ic_v 0.00988525990396738, bc_x0 0.02161603607237339, bc_x1 0.024494940415024757, int 0.6259465217590332\n",
            "ep 25900, total 0.8474166393280029, ic 0.1537351757287979, ic_v 0.010457152500748634, bc_x0 0.026884518563747406, bc_x1 0.026844991371035576, int 0.6294565796852112\n",
            "ep 26000, total 0.8284066319465637, ic 0.15161103010177612, ic_v 0.00998604018241167, bc_x0 0.020939141511917114, bc_x1 0.023970291018486023, int 0.6218618750572205\n",
            "ep 26100, total 0.8263247609138489, ic 0.151239275932312, ic_v 0.0098896324634552, bc_x0 0.020916499197483063, bc_x1 0.023905614390969276, int 0.6203354597091675\n",
            "ep 26200, total 0.8240591883659363, ic 0.15071198344230652, ic_v 0.009899216704070568, bc_x0 0.020847037434577942, bc_x1 0.02382552996277809, int 0.6187371611595154\n",
            "ep 26300, total 0.8223910331726074, ic 0.15040156245231628, ic_v 0.009982208721339703, bc_x0 0.02106821909546852, bc_x1 0.023805417120456696, int 0.6170952916145325\n",
            "ep 26400, total 0.8199073076248169, ic 0.14976656436920166, ic_v 0.009863602928817272, bc_x0 0.020778214558959007, bc_x1 0.02364996448159218, int 0.6158105731010437\n",
            "ep 26500, total 0.8192339539527893, ic 0.15042687952518463, ic_v 0.009592410176992416, bc_x0 0.02160242199897766, bc_x1 0.024091096594929695, int 0.6134827733039856\n",
            "ep 26600, total 0.8223111629486084, ic 0.15069742500782013, ic_v 0.01016769465059042, bc_x0 0.02364571951329708, bc_x1 0.025912899523973465, int 0.6118491291999817\n",
            "ep 26700, total 0.8151707649230957, ic 0.1490064114332199, ic_v 0.009462864138185978, bc_x0 0.02129410393536091, bc_x1 0.023980962112545967, int 0.611388087272644\n",
            "ep 26800, total 0.8808208107948303, ic 0.1600852906703949, ic_v 0.011178979650139809, bc_x0 0.06253354251384735, bc_x1 0.024122491478919983, int 0.6228621602058411\n",
            "ep 26900, total 0.8772954344749451, ic 0.15109604597091675, ic_v 0.009005293250083923, bc_x0 0.029138511046767235, bc_x1 0.06319165974855423, int 0.6248255968093872\n",
            "ep 27000, total 0.8071075081825256, ic 0.1474938541650772, ic_v 0.00956840068101883, bc_x0 0.020279165357351303, bc_x1 0.02342822030186653, int 0.6062995791435242\n",
            "ep 27100, total 0.8053920269012451, ic 0.14690005779266357, ic_v 0.009619629941880703, bc_x0 0.020377032458782196, bc_x1 0.023278117179870605, int 0.6051787734031677\n",
            "ep 27200, total 0.803632915019989, ic 0.14690667390823364, ic_v 0.009453956969082355, bc_x0 0.02039431780576706, bc_x1 0.02338218316435814, int 0.6034573912620544\n",
            "ep 27300, total 0.8010189533233643, ic 0.14636698365211487, ic_v 0.009413216263055801, bc_x0 0.020101221278309822, bc_x1 0.02330494299530983, int 0.6017941832542419\n",
            "ep 27400, total 0.7990508079528809, ic 0.14612102508544922, ic_v 0.009348263032734394, bc_x0 0.0201121736317873, bc_x1 0.02328723482787609, int 0.6001437306404114\n",
            "ep 27500, total 0.7969669699668884, ic 0.14569464325904846, ic_v 0.009400594048202038, bc_x0 0.01999662257730961, bc_x1 0.023235883563756943, int 0.5986008644104004\n",
            "ep 27600, total 0.7950090765953064, ic 0.1451823115348816, ic_v 0.009333002381026745, bc_x0 0.019847307354211807, bc_x1 0.023197298869490623, int 0.5974107384681702\n",
            "ep 27700, total 0.7939982414245605, ic 0.14439503848552704, ic_v 0.009234767407178879, bc_x0 0.0198531411588192, bc_x1 0.023458216339349747, int 0.5970186591148376\n",
            "ep 27800, total 0.8110188841819763, ic 0.14601360261440277, ic_v 0.008752083405852318, bc_x0 0.02886960096657276, bc_x1 0.02749909833073616, int 0.5998461246490479\n",
            "ep 27900, total 0.8147543668746948, ic 0.15260228514671326, ic_v 0.009234708733856678, bc_x0 0.020976597443223, bc_x1 0.04041777551174164, int 0.591484546661377\n",
            "ep 28000, total 0.7873581647872925, ic 0.14388877153396606, ic_v 0.009268480353057384, bc_x0 0.01990256831049919, bc_x1 0.022935211658477783, int 0.5913246870040894\n",
            "ep 28100, total 0.7859194874763489, ic 0.14356312155723572, ic_v 0.009018247947096825, bc_x0 0.01985165849328041, bc_x1 0.02303469553589821, int 0.5904132723808289\n",
            "ep 28200, total 0.7845736742019653, ic 0.14534637331962585, ic_v 0.009086409583687782, bc_x0 0.019516821950674057, bc_x1 0.02306276746094227, int 0.5875228643417358\n",
            "ep 28300, total 0.7813382148742676, ic 0.1427641063928604, ic_v 0.009028652682900429, bc_x0 0.019522180780768394, bc_x1 0.022789789363741875, int 0.5871950387954712\n",
            "ep 28400, total 0.8166733384132385, ic 0.14840736985206604, ic_v 0.010259700939059258, bc_x0 0.041918329894542694, bc_x1 0.02702360227704048, int 0.5890258550643921\n",
            "ep 28500, total 0.7793400287628174, ic 0.14167866110801697, ic_v 0.008843440562486649, bc_x0 0.019951149821281433, bc_x1 0.023223793134093285, int 0.5856044888496399\n",
            "ep 28600, total 0.7756224870681763, ic 0.14168575406074524, ic_v 0.0089812520891428, bc_x0 0.01928415708243847, bc_x1 0.022674323990941048, int 0.5829585790634155\n",
            "ep 28700, total 0.7737959027290344, ic 0.14115503430366516, ic_v 0.00897046085447073, bc_x0 0.019266249611973763, bc_x1 0.022552650421857834, int 0.5818129777908325\n",
            "ep 28800, total 0.7719962000846863, ic 0.14084531366825104, ic_v 0.008951971307396889, bc_x0 0.0191896203905344, bc_x1 0.022545862942934036, int 0.5804249048233032\n",
            "ep 28900, total 0.7709181904792786, ic 0.1411830484867096, ic_v 0.008844752795994282, bc_x0 0.019472774118185043, bc_x1 0.022472582757472992, int 0.5789065361022949\n",
            "ep 29000, total 0.7683062553405762, ic 0.14026950299739838, ic_v 0.008858182467520237, bc_x0 0.01906644180417061, bc_x1 0.022458171471953392, int 0.5776153802871704\n",
            "ep 29100, total 0.7665356397628784, ic 0.14002838730812073, ic_v 0.008823945187032223, bc_x0 0.019033078104257584, bc_x1 0.022403886541724205, int 0.5762078166007996\n",
            "ep 29200, total 0.7660544514656067, ic 0.14034107327461243, ic_v 0.008588399738073349, bc_x0 0.019821137189865112, bc_x1 0.02248159795999527, int 0.5747836828231812\n",
            "ep 29300, total 0.7629728317260742, ic 0.13925160467624664, ic_v 0.008758929558098316, bc_x0 0.01890307106077671, bc_x1 0.02229621633887291, int 0.5737245082855225\n",
            "ep 29400, total 0.7616089582443237, ic 0.13888119161128998, ic_v 0.008683379739522934, bc_x0 0.01894563063979149, bc_x1 0.022415852174162865, int 0.5726443529129028\n",
            "ep 29500, total 0.7633782625198364, ic 0.13841482996940613, ic_v 0.008485715836286545, bc_x0 0.01951642706990242, bc_x1 0.023925375193357468, int 0.5729974508285522\n",
            "ep 29600, total 0.7577739953994751, ic 0.1382908821105957, ic_v 0.008664362132549286, bc_x0 0.018735546618700027, bc_x1 0.022167902439832687, int 0.5698767304420471\n",
            "ep 29700, total 0.7595826983451843, ic 0.1401517540216446, ic_v 0.008497101254761219, bc_x0 0.01932859979569912, bc_x1 0.0247104000300169, int 0.5668562650680542\n",
            "ep 29800, total 0.754467785358429, ic 0.1377105861902237, ic_v 0.008557721972465515, bc_x0 0.018677968531847, bc_x1 0.022102627903223038, int 0.5673803091049194\n",
            "ep 29900, total 0.752708375453949, ic 0.1373763382434845, ic_v 0.008557137101888657, bc_x0 0.018588460981845856, bc_x1 0.022020870819687843, int 0.5661269426345825\n",
            "ep 30000, total 0.7543217539787292, ic 0.13808073103427887, ic_v 0.008462142199277878, bc_x0 0.019756006076931953, bc_x1 0.022446783259510994, int 0.5655375123023987\n",
            "ep 30100, total 0.7493119835853577, ic 0.1367097645998001, ic_v 0.00852802861481905, bc_x0 0.018473880365490913, bc_x1 0.021933091804385185, int 0.5636286735534668\n",
            "ep 30200, total 0.747661828994751, ic 0.13634230196475983, ic_v 0.008479893207550049, bc_x0 0.018441220745444298, bc_x1 0.021831080317497253, int 0.5625287890434265\n",
            "ep 30300, total 0.7459703087806702, ic 0.1361294835805893, ic_v 0.008445553481578827, bc_x0 0.01837201789021492, bc_x1 0.02183321677148342, int 0.5611515045166016\n",
            "ep 30400, total 0.744580864906311, ic 0.13607066869735718, ic_v 0.008498337119817734, bc_x0 0.01844605803489685, bc_x1 0.021980490535497665, int 0.5595467686653137\n",
            "ep 30500, total 0.7430828213691711, ic 0.13660642504692078, ic_v 0.00831698626279831, bc_x0 0.018277134746313095, bc_x1 0.021781645715236664, int 0.5580621361732483\n",
            "ep 30600, total 0.7410367727279663, ic 0.13535355031490326, ic_v 0.008381465449929237, bc_x0 0.01820114254951477, bc_x1 0.021793246269226074, int 0.5572687983512878\n",
            "ep 30700, total 0.745179295539856, ic 0.13966958224773407, ic_v 0.008220336399972439, bc_x0 0.018745936453342438, bc_x1 0.024703146889805794, int 0.5538016557693481\n",
            "ep 30800, total 0.7377942204475403, ic 0.13462483882904053, ic_v 0.008332224562764168, bc_x0 0.018111292272806168, bc_x1 0.021615279838442802, int 0.5550719499588013\n",
            "ep 30900, total 0.7366291880607605, ic 0.13463276624679565, ic_v 0.008292177692055702, bc_x0 0.01805977150797844, bc_x1 0.021915752440690994, int 0.5536900758743286\n",
            "ep 31000, total 0.7346157431602478, ic 0.13398541510105133, ic_v 0.008278584107756615, bc_x0 0.01801299676299095, bc_x1 0.021504022181034088, int 0.5527960658073425\n",
            "ep 31100, total 0.7330600023269653, ic 0.13376328349113464, ic_v 0.008269138634204865, bc_x0 0.01797756366431713, bc_x1 0.02147635444998741, int 0.5515351295471191\n",
            "ep 31200, total 0.7336385250091553, ic 0.13371774554252625, ic_v 0.008238512091338634, bc_x0 0.018815666437149048, bc_x1 0.021752379834651947, int 0.5510756373405457\n",
            "ep 31300, total 0.7298981547355652, ic 0.13313338160514832, ic_v 0.008202116005122662, bc_x0 0.01786900870501995, bc_x1 0.021360626444220543, int 0.5492944121360779\n",
            "ep 31400, total 0.7283461689949036, ic 0.13288450241088867, ic_v 0.008174294605851173, bc_x0 0.017835689708590508, bc_x1 0.021309830248355865, int 0.5481032133102417\n",
            "ep 31500, total 0.7284286022186279, ic 0.13245242834091187, ic_v 0.008261228911578655, bc_x0 0.017923792824149132, bc_x1 0.021298890933394432, int 0.5484536290168762\n",
            "ep 31600, total 0.7252523899078369, ic 0.13235673308372498, ic_v 0.008137160912156105, bc_x0 0.017721323296427727, bc_x1 0.021269142627716064, int 0.5457293391227722\n",
            "ep 31700, total 0.7237849235534668, ic 0.13212744891643524, ic_v 0.00807704497128725, bc_x0 0.017664216458797455, bc_x1 0.02126971073448658, int 0.5446078181266785\n",
            "ep 31800, total 0.7222808599472046, ic 0.13167938590049744, ic_v 0.008055903017520905, bc_x0 0.017641408368945122, bc_x1 0.021142084151506424, int 0.5437234044075012\n",
            "ep 31900, total 0.7211419939994812, ic 0.13141483068466187, ic_v 0.007980890572071075, bc_x0 0.017717519775032997, bc_x1 0.02120501548051834, int 0.5427850484848022\n",
            "ep 32000, total 0.7204994559288025, ic 0.13198578357696533, ic_v 0.007887918502092361, bc_x0 0.018363099545240402, bc_x1 0.021423136815428734, int 0.5408008098602295\n",
            "ep 32100, total 0.7180582284927368, ic 0.13153746724128723, ic_v 0.008014359511435032, bc_x0 0.017670143395662308, bc_x1 0.02110058255493641, int 0.539696991443634\n",
            "ep 32200, total 0.7241522669792175, ic 0.13186964392662048, ic_v 0.00835997425019741, bc_x0 0.02229464054107666, bc_x1 0.020862966775894165, int 0.5407264232635498\n",
            "ep 32300, total 0.7146620154380798, ic 0.13043494522571564, ic_v 0.007973948493599892, bc_x0 0.01738567277789116, bc_x1 0.020956236869096756, int 0.5378725528717041\n",
            "ep 32400, total 0.7132455706596375, ic 0.13022887706756592, ic_v 0.00796284805983305, bc_x0 0.01733526773750782, bc_x1 0.020998258143663406, int 0.536681592464447\n",
            "ep 32500, total 0.7119491100311279, ic 0.12998591363430023, ic_v 0.007985787466168404, bc_x0 0.01745479926466942, bc_x1 0.020875412970781326, int 0.5356084704399109\n",
            "ep 32600, total 0.7235973477363586, ic 0.13108757138252258, ic_v 0.007487824186682701, bc_x0 0.02302989363670349, bc_x1 0.02413579449057579, int 0.5378175973892212\n",
            "ep 32700, total 0.7122207283973694, ic 0.1335606426000595, ic_v 0.007845482788980007, bc_x0 0.017404058948159218, bc_x1 0.0216483473777771, int 0.5317234396934509\n",
            "ep 32800, total 0.7079611420631409, ic 0.12900562584400177, ic_v 0.0077734277583658695, bc_x0 0.01732231117784977, bc_x1 0.020882658660411835, int 0.5329383611679077\n",
            "ep 32900, total 0.7365919351577759, ic 0.13400083780288696, ic_v 0.008649258874356747, bc_x0 0.02724595181643963, bc_x1 0.03417185693979263, int 0.5324852466583252\n",
            "ep 33000, total 0.707338273525238, ic 0.12842844426631927, ic_v 0.007944021373987198, bc_x0 0.0184727031737566, bc_x1 0.02101532183587551, int 0.5314390063285828\n",
            "ep 33100, total 0.7031471133232117, ic 0.12824977934360504, ic_v 0.007796769961714745, bc_x0 0.01697651855647564, bc_x1 0.02059566229581833, int 0.5294896364212036\n",
            "ep 33200, total 0.7018530368804932, ic 0.12859930098056793, ic_v 0.007772471755743027, bc_x0 0.01697556860744953, bc_x1 0.02085460163652897, int 0.5276123285293579\n",
            "ep 33300, total 0.7108747959136963, ic 0.12944133579730988, ic_v 0.008344657719135284, bc_x0 0.02430272288620472, bc_x1 0.020424600690603256, int 0.528322696685791\n",
            "ep 33400, total 0.7738165259361267, ic 0.13187292218208313, ic_v 0.007062843069434166, bc_x0 0.034794531762599945, bc_x1 0.05764095485210419, int 0.5424065589904785\n",
            "ep 33500, total 0.6973797678947449, ic 0.12732914090156555, ic_v 0.007715790532529354, bc_x0 0.016854334622621536, bc_x1 0.020420465618371964, int 0.5250212550163269\n",
            "ep 33600, total 0.6960411667823792, ic 0.12723489105701447, ic_v 0.007711534854024649, bc_x0 0.016829077154397964, bc_x1 0.020390141755342484, int 0.5238367319107056\n",
            "ep 33700, total 0.7142829895019531, ic 0.13241060078144073, ic_v 0.008272639475762844, bc_x0 0.024143479764461517, bc_x1 0.026723194867372513, int 0.5226942896842957\n",
            "ep 33800, total 0.6932973265647888, ic 0.12665075063705444, ic_v 0.007656214293092489, bc_x0 0.01672414317727089, bc_x1 0.020307470113039017, int 0.5219199061393738\n",
            "ep 33900, total 0.6920003294944763, ic 0.12628085911273956, ic_v 0.007651401683688164, bc_x0 0.016685249283909798, bc_x1 0.02022707462310791, int 0.5211169719696045\n",
            "ep 34000, total 0.6923589110374451, ic 0.12660424411296844, ic_v 0.007569248788058758, bc_x0 0.017154375091195107, bc_x1 0.021138133481144905, int 0.5198540687561035\n",
            "ep 34100, total 0.6894865036010742, ic 0.12630417943000793, ic_v 0.007599021308124065, bc_x0 0.016589434817433357, bc_x1 0.020502114668488503, int 0.5184529423713684\n",
            "ep 34200, total 0.6885542273521423, ic 0.12618614733219147, ic_v 0.007658674381673336, bc_x0 0.016636760905385017, bc_x1 0.020674757659435272, int 0.5173590183258057\n",
            "ep 34300, total 0.6871528625488281, ic 0.1257796287536621, ic_v 0.007637277711182833, bc_x0 0.016929663717746735, bc_x1 0.020122196525335312, int 0.5166453123092651\n",
            "ep 34400, total 0.6873133778572083, ic 0.12731964886188507, ic_v 0.007524093147367239, bc_x0 0.016516486182808876, bc_x1 0.021543174982070923, int 0.5143710970878601\n",
            "ep 34500, total 0.7946969866752625, ic 0.13947756588459015, ic_v 0.006817015819251537, bc_x0 0.07583726942539215, bc_x1 0.03869177773594856, int 0.5338345766067505\n",
            "ep 34600, total 0.6826411485671997, ic 0.12475918978452682, ic_v 0.007530026603490114, bc_x0 0.016399335116147995, bc_x1 0.01997627131640911, int 0.5139374732971191\n",
            "ep 34700, total 0.6829654574394226, ic 0.12544885277748108, ic_v 0.0075805517844855785, bc_x0 0.016474710777401924, bc_x1 0.020841114223003387, int 0.5125813484191895\n",
            "ep 34800, total 0.7569945454597473, ic 0.13548077642917633, ic_v 0.006785730831325054, bc_x0 0.060299575328826904, bc_x1 0.030607664957642555, int 0.523781955242157\n",
            "ep 34900, total 0.6787680983543396, ic 0.12405702471733093, ic_v 0.00747182872146368, bc_x0 0.016269393265247345, bc_x1 0.019854821264743805, int 0.5110761523246765\n",
            "ep 35000, total 0.6779109239578247, ic 0.12449313700199127, ic_v 0.007414017338305712, bc_x0 0.01627046801149845, bc_x1 0.02023494616150856, int 0.5094594955444336\n",
            "ep 35100, total 0.6779406070709229, ic 0.12449192255735397, ic_v 0.007433894090354443, bc_x0 0.016293520107865334, bc_x1 0.021426109597086906, int 0.5082563161849976\n",
            "ep 35200, total 0.6936014890670776, ic 0.12471206486225128, ic_v 0.007029309403151274, bc_x0 0.022872477769851685, bc_x1 0.025817768648266792, int 0.5131310224533081\n",
            "ep 35300, total 0.7018235325813293, ic 0.12988795340061188, ic_v 0.0068984380923211575, bc_x0 0.034950628876686096, bc_x1 0.020623963326215744, int 0.5094236731529236\n",
            "ep 35400, total 0.673012912273407, ic 0.12325522303581238, ic_v 0.007271117530763149, bc_x0 0.016323596239089966, bc_x1 0.019807053729891777, int 0.506317138671875\n",
            "ep 35500, total 0.6726291179656982, ic 0.12298429012298584, ic_v 0.00753719313070178, bc_x0 0.01695556566119194, bc_x1 0.019834263250231743, int 0.5052789449691772\n",
            "ep 35600, total 0.6702905297279358, ic 0.12317823618650436, ic_v 0.007341024465858936, bc_x0 0.01597057469189167, bc_x1 0.019951069727540016, int 0.5038107633590698\n",
            "ep 35700, total 0.6687141060829163, ic 0.12240614742040634, ic_v 0.007360365241765976, bc_x0 0.01606382429599762, bc_x1 0.019501561298966408, int 0.5033433437347412\n",
            "ep 35800, total 0.6675019264221191, ic 0.12238628417253494, ic_v 0.007300523575395346, bc_x0 0.015975039452314377, bc_x1 0.019547097384929657, int 0.502254068851471\n",
            "ep 35900, total 0.6662442684173584, ic 0.12227818369865417, ic_v 0.007286599837243557, bc_x0 0.015908585861325264, bc_x1 0.01951301284134388, int 0.5012189745903015\n",
            "ep 36000, total 0.6775150299072266, ic 0.12290779501199722, ic_v 0.007475055288523436, bc_x0 0.019325822591781616, bc_x1 0.022208519279956818, int 0.505558967590332\n",
            "ep 36100, total 0.7231405377388, ic 0.12994037568569183, ic_v 0.006665186025202274, bc_x0 0.049517519772052765, bc_x1 0.026950258761644363, int 0.5100283026695251\n",
            "ep 36200, total 0.66256183385849, ic 0.12131097912788391, ic_v 0.007289080414921045, bc_x0 0.01577913574874401, bc_x1 0.01940295472741127, int 0.4987407326698303\n",
            "ep 36300, total 0.6613392233848572, ic 0.12105651199817657, ic_v 0.007252179551869631, bc_x0 0.015755468979477882, bc_x1 0.019283181056380272, int 0.497952938079834\n",
            "ep 36400, total 0.6602405905723572, ic 0.12097542732954025, ic_v 0.007226857356727123, bc_x0 0.01572071760892868, bc_x1 0.01945246197283268, int 0.4968262314796448\n",
            "ep 36500, total 0.6590231657028198, ic 0.12067131698131561, ic_v 0.007251262664794922, bc_x0 0.01575297862291336, bc_x1 0.019236614927649498, int 0.49607208371162415\n",
            "ep 36600, total 0.6577271223068237, ic 0.12049998342990875, ic_v 0.007205829955637455, bc_x0 0.01563672535121441, bc_x1 0.019196905195713043, int 0.4951487183570862\n",
            "ep 36700, total 0.6565911769866943, ic 0.12021919339895248, ic_v 0.0072096241638064384, bc_x0 0.015603413805365562, bc_x1 0.0191611647605896, int 0.4943588674068451\n",
            "ep 36800, total 0.6596994400024414, ic 0.12086644768714905, ic_v 0.007038365118205547, bc_x0 0.017450733110308647, bc_x1 0.019655391573905945, int 0.4946495592594147\n",
            "ep 36900, total 0.6543083786964417, ic 0.11977610737085342, ic_v 0.007145498879253864, bc_x0 0.015543702989816666, bc_x1 0.019071999937295914, int 0.49273207783699036\n",
            "ep 37000, total 0.6531068086624146, ic 0.11977818608283997, ic_v 0.0071385265327990055, bc_x0 0.015498078428208828, bc_x1 0.01906570792198181, int 0.4915872812271118\n",
            "ep 37100, total 0.6540684700012207, ic 0.1207793802022934, ic_v 0.006924216635525227, bc_x0 0.016473159193992615, bc_x1 0.01927264779806137, int 0.49058011174201965\n",
            "ep 37200, total 0.6623556017875671, ic 0.12287545204162598, ic_v 0.0072659216821193695, bc_x0 0.015576985664665699, bc_x1 0.02753923460841179, int 0.4890590310096741\n",
            "ep 37300, total 0.6500071883201599, ic 0.11903287470340729, ic_v 0.007051553577184677, bc_x0 0.015546215698122978, bc_x1 0.018985915929079056, int 0.48935166001319885\n",
            "ep 37400, total 0.6485229134559631, ic 0.11892809718847275, ic_v 0.007110572420060635, bc_x0 0.015355897136032581, bc_x1 0.018899884074926376, int 0.4881895184516907\n",
            "ep 37500, total 0.6514365077018738, ic 0.11984476447105408, ic_v 0.007212665397673845, bc_x0 0.01541895791888237, bc_x1 0.02180650644004345, int 0.48711466789245605\n",
            "ep 37600, total 0.6529739499092102, ic 0.11905825138092041, ic_v 0.006806414108723402, bc_x0 0.017909113317728043, bc_x1 0.020743586122989655, int 0.4884175956249237\n",
            "ep 37700, total 0.6477785706520081, ic 0.1183905377984047, ic_v 0.006893192883580923, bc_x0 0.01636630669236183, bc_x1 0.01941303350031376, int 0.48667651414871216\n",
            "ep 37800, total 0.6440826654434204, ic 0.11811968684196472, ic_v 0.0070738475769758224, bc_x0 0.015194113366305828, bc_x1 0.018805421888828278, int 0.48485061526298523\n",
            "ep 37900, total 0.6468787789344788, ic 0.11772672832012177, ic_v 0.007129678037017584, bc_x0 0.016553496941924095, bc_x1 0.019770720973610878, int 0.485659122467041\n",
            "ep 38000, total 0.6424575448036194, ic 0.11812013387680054, ic_v 0.0069321757182478905, bc_x0 0.015507033094763756, bc_x1 0.018785372376441956, int 0.483073890209198\n",
            "ep 38100, total 0.640765368938446, ic 0.11783937364816666, ic_v 0.007006935775279999, bc_x0 0.015145893208682537, bc_x1 0.018718186765909195, int 0.4820159375667572\n",
            "ep 38200, total 0.6404248476028442, ic 0.11807220429182053, ic_v 0.007067572791129351, bc_x0 0.015255770646035671, bc_x1 0.019077997654676437, int 0.48091229796409607\n",
            "ep 38300, total 0.6415172219276428, ic 0.11721522361040115, ic_v 0.006826427765190601, bc_x0 0.01589973270893097, bc_x1 0.019581438973546028, int 0.4819553792476654\n",
            "ep 38400, total 0.668061375617981, ic 0.1210014596581459, ic_v 0.007862331345677376, bc_x0 0.029673269018530846, bc_x1 0.02694648690521717, int 0.48253875970840454\n",
            "ep 38500, total 0.6431689858436584, ic 0.11912614852190018, ic_v 0.006898174062371254, bc_x0 0.016043957322835922, bc_x1 0.023507922887802124, int 0.47755375504493713\n",
            "ep 38600, total 0.6456779837608337, ic 0.11829125881195068, ic_v 0.0074061863124370575, bc_x0 0.02104019746184349, bc_x1 0.019804539158940315, int 0.47909674048423767\n",
            "ep 38700, total 0.6454734802246094, ic 0.11651916801929474, ic_v 0.006784250494092703, bc_x0 0.015836788341403008, bc_x1 0.024598728865385056, int 0.4816955327987671\n",
            "ep 38800, total 0.6389735341072083, ic 0.11592496931552887, ic_v 0.00685534393414855, bc_x0 0.015040004625916481, bc_x1 0.022140664979815483, int 0.47897350788116455\n",
            "ep 38900, total 0.6362656354904175, ic 0.11837664991617203, ic_v 0.006723557598888874, bc_x0 0.016973452642560005, bc_x1 0.019112449139356613, int 0.4750404953956604\n",
            "ep 39000, total 0.6336894035339355, ic 0.1156381219625473, ic_v 0.006908494513481855, bc_x0 0.014796897768974304, bc_x1 0.019392134621739388, int 0.4769146740436554\n",
            "ep 39100, total 0.6303949952125549, ic 0.11593780666589737, ic_v 0.00695282407104969, bc_x0 0.01477782055735588, bc_x1 0.018750516697764397, int 0.4739369750022888\n",
            "ep 39200, total 0.6295327544212341, ic 0.11557088792324066, ic_v 0.00700776232406497, bc_x0 0.015222723595798016, bc_x1 0.018245525658130646, int 0.473446786403656\n",
            "ep 39300, total 0.6278916597366333, ic 0.11534794420003891, ic_v 0.006905930582433939, bc_x0 0.014755028299987316, bc_x1 0.01821075566112995, int 0.47263291478157043\n",
            "ep 39400, total 0.6268847584724426, ic 0.11536365002393723, ic_v 0.006889432203024626, bc_x0 0.0147220678627491, bc_x1 0.01822989247739315, int 0.47164061665534973\n",
            "ep 39500, total 0.6392140984535217, ic 0.11762778460979462, ic_v 0.006743445061147213, bc_x0 0.018593935295939445, bc_x1 0.020277371630072594, int 0.4759324789047241\n",
            "ep 39600, total 0.6248112916946411, ic 0.11481032520532608, ic_v 0.006879331544041634, bc_x0 0.014668675139546394, bc_x1 0.01810574159026146, int 0.4703080654144287\n",
            "ep 39700, total 0.6238034963607788, ic 0.11483994126319885, ic_v 0.006826802622526884, bc_x0 0.014635875821113586, bc_x1 0.018101204186677933, int 0.4693605601787567\n",
            "ep 39800, total 0.6252531409263611, ic 0.11466415226459503, ic_v 0.006943059153854847, bc_x0 0.014793772250413895, bc_x1 0.018202269449830055, int 0.4706108570098877\n",
            "ep 39900, total 0.623542845249176, ic 0.11510609090328217, ic_v 0.006951389834284782, bc_x0 0.015099262818694115, bc_x1 0.019005054607987404, int 0.46734192967414856\n",
            "ep 40000, total 0.6207694411277771, ic 0.11408399790525436, ic_v 0.006813059560954571, bc_x0 0.014522094279527664, bc_x1 0.0179709754884243, int 0.46734026074409485\n",
            "ep 40100, total 0.619774341583252, ic 0.11397293210029602, ic_v 0.00681747030466795, bc_x0 0.014485221356153488, bc_x1 0.01796906627714634, int 0.4664905071258545\n",
            "ep 40200, total 0.6193557977676392, ic 0.11393154412508011, ic_v 0.006872495170682669, bc_x0 0.01495861541479826, bc_x1 0.01782558485865593, int 0.4657284617424011\n",
            "ep 40300, total 0.6202361583709717, ic 0.11616458743810654, ic_v 0.006643014959990978, bc_x0 0.015069378539919853, bc_x1 0.018554572016000748, int 0.4637655019760132\n",
            "ep 40400, total 0.6394155621528625, ic 0.11550495028495789, ic_v 0.006382509134709835, bc_x0 0.02332635037600994, bc_x1 0.02499789372086525, int 0.46916478872299194\n",
            "ep 40500, total 0.6176314949989319, ic 0.11297634243965149, ic_v 0.006684278137981892, bc_x0 0.014540586620569229, bc_x1 0.01882760040462017, int 0.4645634889602661\n",
            "ep 40600, total 0.6167885065078735, ic 0.11355450004339218, ic_v 0.006601397879421711, bc_x0 0.015469598583877087, bc_x1 0.018029671162366867, int 0.4630941152572632\n",
            "ep 40700, total 0.613874077796936, ic 0.1129586473107338, ic_v 0.006740415468811989, bc_x0 0.014338018372654915, bc_x1 0.01774068921804428, int 0.4620572030544281\n",
            "ep 40800, total 0.61290442943573, ic 0.11284185200929642, ic_v 0.006733740214258432, bc_x0 0.014287412166595459, bc_x1 0.017783764749765396, int 0.4612185060977936\n",
            "ep 40900, total 0.6119723916053772, ic 0.1124846488237381, ic_v 0.006741114426404238, bc_x0 0.01426197960972786, bc_x1 0.017666738480329514, int 0.46077874302864075\n",
            "ep 41000, total 0.611011266708374, ic 0.11279483884572983, ic_v 0.006701684556901455, bc_x0 0.014270391315221786, bc_x1 0.017666222527623177, int 0.4595390260219574\n",
            "ep 41100, total 0.6100988984107971, ic 0.11235372722148895, ic_v 0.006755070295184851, bc_x0 0.014236077666282654, bc_x1 0.01772473007440567, int 0.45899006724357605\n",
            "ep 41200, total 0.6100950837135315, ic 0.11269119381904602, ic_v 0.006787426769733429, bc_x0 0.014377272687852383, bc_x1 0.018129808828234673, int 0.45807018876075745\n",
            "ep 41300, total 0.6101047396659851, ic 0.11194952577352524, ic_v 0.0068706367164850235, bc_x0 0.014575881883502007, bc_x1 0.017683109268546104, int 0.45898643136024475\n",
            "ep 41400, total 0.6639809608459473, ic 0.11926819384098053, ic_v 0.007438357453793287, bc_x0 0.02098565176129341, bc_x1 0.053862329572439194, int 0.4623872637748718\n",
            "ep 41500, total 0.6072496771812439, ic 0.11181606352329254, ic_v 0.006568927317857742, bc_x0 0.014648684300482273, bc_x1 0.017666077241301537, int 0.4565107822418213\n",
            "ep 41600, total 0.6052479147911072, ic 0.11152741312980652, ic_v 0.006677741650491953, bc_x0 0.014079993590712547, bc_x1 0.017457468435168266, int 0.4554661512374878\n",
            "ep 41700, total 0.6046701073646545, ic 0.1119803637266159, ic_v 0.00661059096455574, bc_x0 0.014121126383543015, bc_x1 0.017711536958813667, int 0.45420733094215393\n",
            "ep 41800, total 0.6035510301589966, ic 0.11123329401016235, ic_v 0.006708882283419371, bc_x0 0.014102969318628311, bc_x1 0.01744532212615013, int 0.4540213346481323\n",
            "ep 41900, total 0.6032385230064392, ic 0.11086063086986542, ic_v 0.006633161101490259, bc_x0 0.013966086320579052, bc_x1 0.0176552627235651, int 0.454084187746048\n",
            "ep 42000, total 0.6276513934135437, ic 0.1144736111164093, ic_v 0.007321965415030718, bc_x0 0.03205390274524689, bc_x1 0.017328400164842606, int 0.45643430948257446\n",
            "ep 42100, total 0.6008111834526062, ic 0.11100727319717407, ic_v 0.006648732349276543, bc_x0 0.014057141728699207, bc_x1 0.017378192394971848, int 0.45168060064315796\n",
            "ep 42200, total 0.6435776948928833, ic 0.11490626633167267, ic_v 0.006148242391645908, bc_x0 0.03262675181031227, bc_x1 0.030377410352230072, int 0.45947983860969543\n",
            "ep 42300, total 0.5989905595779419, ic 0.11048797518014908, ic_v 0.006622570101171732, bc_x0 0.013854006305336952, bc_x1 0.01733415201306343, int 0.4506526291370392\n",
            "ep 42400, total 0.5982403755187988, ic 0.11072347313165665, ic_v 0.006611573975533247, bc_x0 0.01383474562317133, bc_x1 0.017546655610203743, int 0.4494847059249878\n",
            "ep 42500, total 0.5972281098365784, ic 0.11055494099855423, ic_v 0.006533741019666195, bc_x0 0.013937816023826599, bc_x1 0.017256921157240868, int 0.44890546798706055\n",
            "ep 42600, total 0.5972322821617126, ic 0.10975680500268936, ic_v 0.006639186758548021, bc_x0 0.014029614627361298, bc_x1 0.01741040125489235, int 0.4493570327758789\n",
            "ep 42700, total 0.5952709317207336, ic 0.10980549454689026, ic_v 0.006568161770701408, bc_x0 0.013795958831906319, bc_x1 0.017135921865701675, int 0.44792619347572327\n",
            "ep 42800, total 0.5950338840484619, ic 0.10964588820934296, ic_v 0.006507582031190395, bc_x0 0.0139102628454566, bc_x1 0.01738724112510681, int 0.44754377007484436\n",
            "ep 42900, total 0.6070889234542847, ic 0.1113843321800232, ic_v 0.006972973234951496, bc_x0 0.020789168775081635, bc_x1 0.018895262852311134, int 0.44900795817375183\n",
            "ep 43000, total 0.6342250108718872, ic 0.11296851187944412, ic_v 0.0061445701867341995, bc_x0 0.028305958956480026, bc_x1 0.03216896951198578, int 0.45459771156311035\n",
            "ep 43100, total 0.591647744178772, ic 0.10927189141511917, ic_v 0.006562805734574795, bc_x0 0.013683389872312546, bc_x1 0.017018968239426613, int 0.44507139921188354\n",
            "ep 43200, total 0.5911251306533813, ic 0.10943106561899185, ic_v 0.006588017102330923, bc_x0 0.013879131525754929, bc_x1 0.017063511535525322, int 0.44412416219711304\n",
            "ep 43300, total 0.5928896069526672, ic 0.10907366871833801, ic_v 0.006680290214717388, bc_x0 0.013752680271863937, bc_x1 0.018111785873770714, int 0.44523191452026367\n",
            "ep 43400, total 0.5932049751281738, ic 0.11085925996303558, ic_v 0.006582232657819986, bc_x0 0.013714045286178589, bc_x1 0.020176474004983902, int 0.4418337345123291\n",
            "ep 43500, total 0.5893070101737976, ic 0.10902844369411469, ic_v 0.006632608361542225, bc_x0 0.013886719942092896, bc_x1 0.01758192479610443, int 0.44213804602622986\n",
            "ep 43600, total 0.5873348712921143, ic 0.10851886868476868, ic_v 0.006525230128318071, bc_x0 0.013567711226642132, bc_x1 0.016865229234099388, int 0.4418185353279114\n",
            "ep 43700, total 0.5865170359611511, ic 0.10852871835231781, ic_v 0.0065221237018704414, bc_x0 0.013574437238276005, bc_x1 0.016859274357557297, int 0.44099318981170654\n",
            "ep 43800, total 0.5856887698173523, ic 0.10839266330003738, ic_v 0.006467479281127453, bc_x0 0.013536781072616577, bc_x1 0.016853833571076393, int 0.44039878249168396\n",
            "ep 43900, total 0.5848488211631775, ic 0.10821947455406189, ic_v 0.006521322298794985, bc_x0 0.013567003421485424, bc_x1 0.016754738986492157, int 0.4397469758987427\n",
            "ep 44000, total 0.5848284363746643, ic 0.10859266668558121, ic_v 0.006491067353636026, bc_x0 0.013944480568170547, bc_x1 0.01674061454832554, int 0.4390203058719635\n",
            "ep 44100, total 0.583847165107727, ic 0.10900074988603592, ic_v 0.006431028246879578, bc_x0 0.013497880659997463, bc_x1 0.017229005694389343, int 0.4376491904258728\n",
            "ep 44200, total 0.5822482705116272, ic 0.10768750309944153, ic_v 0.006475986447185278, bc_x0 0.01340184174478054, bc_x1 0.01670519821345806, int 0.4379383325576782\n",
            "ep 44300, total 0.5814374685287476, ic 0.10764706879854202, ic_v 0.006476294249296188, bc_x0 0.013385177589952946, bc_x1 0.016732245683670044, int 0.4371573030948639\n",
            "ep 44400, total 0.5840579271316528, ic 0.10738789290189743, ic_v 0.006531103979796171, bc_x0 0.014657039195299149, bc_x1 0.01758204959332943, int 0.43786051869392395\n",
            "ep 44500, total 0.6132107377052307, ic 0.11169242113828659, ic_v 0.006940396036952734, bc_x0 0.016949286684393883, bc_x1 0.04001615568995476, int 0.437573105096817\n",
            "ep 44600, total 0.578984260559082, ic 0.10717909038066864, ic_v 0.006474799942225218, bc_x0 0.01334710605442524, bc_x1 0.016608837991952896, int 0.43533509969711304\n",
            "ep 44700, total 0.5781340599060059, ic 0.10701028257608414, ic_v 0.006445611827075481, bc_x0 0.013278316706418991, bc_x1 0.0165837612003088, int 0.43477681279182434\n",
            "ep 44800, total 0.577491819858551, ic 0.10684707760810852, ic_v 0.006422210950404406, bc_x0 0.013253799639642239, bc_x1 0.016565559431910515, int 0.43436381220817566\n",
            "ep 44900, total 0.5768566727638245, ic 0.1072886660695076, ic_v 0.006358998827636242, bc_x0 0.013376841321587563, bc_x1 0.016611719503998756, int 0.43318116664886475\n",
            "ep 45000, total 0.5847572684288025, ic 0.10739923268556595, ic_v 0.006208323873579502, bc_x0 0.016590360552072525, bc_x1 0.01841730624437332, int 0.4361026883125305\n",
            "ep 45100, total 0.5827526450157166, ic 0.10744364559650421, ic_v 0.006777802482247353, bc_x0 0.01854594610631466, bc_x1 0.016719795763492584, int 0.4332261085510254\n",
            "ep 45200, total 0.5740740299224854, ic 0.10635915398597717, ic_v 0.006410556845366955, bc_x0 0.013179470784962177, bc_x1 0.01643264666199684, int 0.43165287375450134\n",
            "ep 45300, total 0.573491096496582, ic 0.10659945011138916, ic_v 0.00639157323166728, bc_x0 0.013120343908667564, bc_x1 0.016520170494914055, int 0.4308202564716339\n",
            "ep 45400, total 0.5787973999977112, ic 0.10658407211303711, ic_v 0.006241843104362488, bc_x0 0.015911120921373367, bc_x1 0.01754765585064888, int 0.432473361492157\n",
            "ep 45500, total 0.5717121958732605, ic 0.10600890964269638, ic_v 0.006408186163753271, bc_x0 0.013103830628097057, bc_x1 0.01641945354640484, int 0.42973238229751587\n",
            "ep 45600, total 0.5709072947502136, ic 0.10587415844202042, ic_v 0.006393670570105314, bc_x0 0.013089337386190891, bc_x1 0.01633334904909134, int 0.4291773736476898\n",
            "ep 45700, total 0.5720459818840027, ic 0.10733004659414291, ic_v 0.006273806560784578, bc_x0 0.013591443188488483, bc_x1 0.017476757988333702, int 0.4273345470428467\n",
            "ep 45800, total 0.5693501234054565, ic 0.10559020191431046, ic_v 0.006380539853125811, bc_x0 0.013036839663982391, bc_x1 0.01629187911748886, int 0.42801129817962646\n",
            "ep 45900, total 0.5687664747238159, ic 0.10566851496696472, ic_v 0.006391318514943123, bc_x0 0.01302448008209467, bc_x1 0.016469988971948624, int 0.4271727204322815\n",
            "ep 46000, total 0.580559492111206, ic 0.10731028020381927, ic_v 0.006743582431226969, bc_x0 0.018292825669050217, bc_x1 0.020674793049693108, int 0.42749860882759094\n",
            "ep 46100, total 0.567025363445282, ic 0.10519605129957199, ic_v 0.006360627245157957, bc_x0 0.012965547852218151, bc_x1 0.016218917444348335, int 0.4262448251247406\n",
            "ep 46200, total 0.5703032612800598, ic 0.10566597431898117, ic_v 0.006161521654576063, bc_x0 0.015254214406013489, bc_x1 0.01672629453241825, int 0.42645585536956787\n",
            "ep 46300, total 0.5655128359794617, ic 0.10495709627866745, ic_v 0.006337092258036137, bc_x0 0.012925680726766586, bc_x1 0.016171731054782867, int 0.4250817894935608\n",
            "ep 46400, total 0.5649209022521973, ic 0.10478191822767258, ic_v 0.006376880221068859, bc_x0 0.013062205165624619, bc_x1 0.016090014949440956, int 0.4245705008506775\n",
            "ep 46500, total 0.5866962671279907, ic 0.10514797270298004, ic_v 0.006121852435171604, bc_x0 0.014492572285234928, bc_x1 0.0294621754437685, int 0.4314323365688324\n",
            "ep 46600, total 0.5637702941894531, ic 0.10471390187740326, ic_v 0.006251438520848751, bc_x0 0.01312947366386652, bc_x1 0.016185719519853592, int 0.42345038056373596\n",
            "ep 46700, total 0.5834778547286987, ic 0.10723761469125748, ic_v 0.00695910444483161, bc_x0 0.02541019767522812, bc_x1 0.01875835657119751, int 0.42507320642471313\n",
            "ep 46800, total 0.5617625713348389, ic 0.10437662899494171, ic_v 0.006327104289084673, bc_x0 0.012837554328143597, bc_x1 0.01603950373828411, int 0.4221424162387848\n",
            "ep 46900, total 0.5611327886581421, ic 0.10430138558149338, ic_v 0.0063447472639381886, bc_x0 0.01280777994543314, bc_x1 0.016161832958459854, int 0.4214775562286377\n",
            "ep 47000, total 0.5602805018424988, ic 0.10404247790575027, ic_v 0.006324118934571743, bc_x0 0.012782770209014416, bc_x1 0.01597626693546772, int 0.4211154282093048\n",
            "ep 47100, total 0.5596742033958435, ic 0.10402476042509079, ic_v 0.006293305195868015, bc_x0 0.012828966602683067, bc_x1 0.015964960679411888, int 0.4205227494239807\n",
            "ep 47200, total 0.5700445771217346, ic 0.10455938428640366, ic_v 0.006505281198769808, bc_x0 0.018270688131451607, bc_x1 0.018285198137164116, int 0.4223845601081848\n",
            "ep 47300, total 0.5580521821975708, ic 0.10375563055276871, ic_v 0.006289117503911257, bc_x0 0.01271484512835741, bc_x1 0.01593255065381527, int 0.41932058334350586\n",
            "ep 47400, total 0.5574076771736145, ic 0.10357052087783813, ic_v 0.006287966389209032, bc_x0 0.012699048034846783, bc_x1 0.015957625582814217, int 0.4188530147075653\n",
            "ep 47500, total 0.5566164255142212, ic 0.10348692536354065, ic_v 0.006281030364334583, bc_x0 0.012657156214118004, bc_x1 0.01588800735771656, int 0.41826382279396057\n",
            "ep 47600, total 0.5561114549636841, ic 0.10336276888847351, ic_v 0.006231078878045082, bc_x0 0.012754032388329506, bc_x1 0.015899376943707466, int 0.41782474517822266\n",
            "ep 47700, total 0.5553668737411499, ic 0.10312405973672867, ic_v 0.006261744536459446, bc_x0 0.012684152461588383, bc_x1 0.01587664522230625, int 0.41738080978393555\n",
            "ep 47800, total 0.5544754266738892, ic 0.10299676656723022, ic_v 0.006269229110330343, bc_x0 0.012618093751370907, bc_x1 0.01580330729484558, int 0.4167485535144806\n",
            "ep 47900, total 0.568653404712677, ic 0.10433121025562286, ic_v 0.006486827973276377, bc_x0 0.019286859780550003, bc_x1 0.01832396723330021, int 0.42018505930900574\n",
            "ep 48000, total 0.5536900162696838, ic 0.10304413735866547, ic_v 0.0061778659000992775, bc_x0 0.012982557527720928, bc_x1 0.015864279121160507, int 0.41558176279067993\n",
            "ep 48100, total 0.5522473454475403, ic 0.10282541811466217, ic_v 0.0062521458603441715, bc_x0 0.012553086504340172, bc_x1 0.0157672930508852, int 0.4148099422454834\n",
            "ep 48200, total 0.552553653717041, ic 0.10279269516468048, ic_v 0.0061681936495006084, bc_x0 0.012943427078425884, bc_x1 0.015900662168860435, int 0.4147091507911682\n",
            "ep 48300, total 0.5587329864501953, ic 0.10348024219274521, ic_v 0.006558684632182121, bc_x0 0.017807994037866592, bc_x1 0.01557947602123022, int 0.41526705026626587\n",
            "ep 48400, total 0.5503689646720886, ic 0.10248780250549316, ic_v 0.006289881654083729, bc_x0 0.012553289532661438, bc_x1 0.015897054225206375, int 0.4131014347076416\n",
            "ep 48500, total 0.5494120717048645, ic 0.10223881900310516, ic_v 0.006231734994798899, bc_x0 0.012467111460864544, bc_x1 0.015653278678655624, int 0.41278165578842163\n",
            "ep 48600, total 0.54873126745224, ic 0.10217978060245514, ic_v 0.006253315135836601, bc_x0 0.012459661811590195, bc_x1 0.015656977891921997, int 0.4121420979499817\n",
            "ep 48700, total 0.5481002926826477, ic 0.10204975306987762, ic_v 0.006267183925956488, bc_x0 0.012545695528388023, bc_x1 0.015579331666231155, int 0.41161876916885376\n",
            "ep 48800, total 0.5473337173461914, ic 0.10196363180875778, ic_v 0.0062373909167945385, bc_x0 0.01241043210029602, bc_x1 0.015672368928790092, int 0.41101041436195374\n",
            "ep 48900, total 0.5765756964683533, ic 0.10611193627119064, ic_v 0.007010893430560827, bc_x0 0.03252945840358734, bc_x1 0.016654128208756447, int 0.41422975063323975\n",
            "ep 49000, total 0.5550510287284851, ic 0.10194824635982513, ic_v 0.005995783023536205, bc_x0 0.01464554201811552, bc_x1 0.019856542348861694, int 0.4125654697418213\n",
            "ep 49100, total 0.5716063976287842, ic 0.10687059164047241, ic_v 0.005889690946787596, bc_x0 0.028997695073485374, bc_x1 0.016317347064614296, int 0.41349151730537415\n",
            "ep 49200, total 0.5469549298286438, ic 0.10160259157419205, ic_v 0.0062835486605763435, bc_x0 0.01296851597726345, bc_x1 0.015649080276489258, int 0.41041165590286255\n",
            "ep 49300, total 0.5496755242347717, ic 0.10219713300466537, ic_v 0.006464215461164713, bc_x0 0.015803441405296326, bc_x1 0.015496784821152687, int 0.40967443585395813\n",
            "ep 49400, total 0.5444743037223816, ic 0.10129185020923615, ic_v 0.006197002250701189, bc_x0 0.012688005343079567, bc_x1 0.01585375890135765, int 0.4084042012691498\n",
            "ep 49500, total 0.54349684715271, ic 0.1011919230222702, ic_v 0.0061926161870360374, bc_x0 0.01270684227347374, bc_x1 0.015539686195552349, int 0.4078262746334076\n",
            "ep 49600, total 0.5426199436187744, ic 0.10109393298625946, ic_v 0.0061171711422502995, bc_x0 0.012627650052309036, bc_x1 0.015589363873004913, int 0.4071522355079651\n",
            "ep 49700, total 0.542154848575592, ic 0.10140445083379745, ic_v 0.006259159184992313, bc_x0 0.012516124173998833, bc_x1 0.016112666577100754, int 0.40582284331321716\n",
            "ep 49800, total 0.5444676280021667, ic 0.10073725134134293, ic_v 0.006082058418542147, bc_x0 0.012584962882101536, bc_x1 0.017359312623739243, int 0.4076644480228424\n",
            "ep 49900, total 0.5422053337097168, ic 0.10067609697580338, ic_v 0.006294236518442631, bc_x0 0.013458138331770897, bc_x1 0.015733644366264343, int 0.4060036540031433\n",
            "ep 50000, total 0.5412499308586121, ic 0.10074687749147415, ic_v 0.0063131884671747684, bc_x0 0.013451941311359406, bc_x1 0.015324103645980358, int 0.4053742289543152\n",
            "ep 50100, total 0.5607598423957825, ic 0.10327767580747604, ic_v 0.0067406902089715, bc_x0 0.01961219124495983, bc_x1 0.025402821600437164, int 0.4056868553161621\n",
            "ep 50200, total 0.5376850366592407, ic 0.10038046538829803, ic_v 0.006169148720800877, bc_x0 0.012157494202256203, bc_x1 0.015277085825800896, int 0.40366125106811523\n",
            "ep 50300, total 0.5371414422988892, ic 0.10025923699140549, ic_v 0.0061622620560228825, bc_x0 0.012118705548346043, bc_x1 0.01525210216641426, int 0.40330955386161804\n",
            "ep 50400, total 0.536622166633606, ic 0.10010312497615814, ic_v 0.006139173172414303, bc_x0 0.012176857329905033, bc_x1 0.015258253552019596, int 0.4029051661491394\n",
            "ep 50500, total 0.5358036756515503, ic 0.10007566213607788, ic_v 0.006182162556797266, bc_x0 0.012132277712225914, bc_x1 0.01526608970016241, int 0.4021078944206238\n",
            "ep 50600, total 0.5351074934005737, ic 0.09991038590669632, ic_v 0.006147913634777069, bc_x0 0.012068619951605797, bc_x1 0.015189643949270248, int 0.4017513394355774\n",
            "ep 50700, total 0.5388597846031189, ic 0.09998565167188644, ic_v 0.006281258072704077, bc_x0 0.014272242784500122, bc_x1 0.016038458794355392, int 0.4022425413131714\n",
            "ep 50800, total 0.5431651473045349, ic 0.1012895405292511, ic_v 0.00637186411768198, bc_x0 0.013485745526850224, bc_x1 0.02139187604188919, int 0.4005865752696991\n",
            "ep 50900, total 0.5331481099128723, ic 0.09961709380149841, ic_v 0.006147542502731085, bc_x0 0.012030186131596565, bc_x1 0.015130686573684216, int 0.40018296241760254\n",
            "ep 51000, total 0.5347952246665955, ic 0.09964732825756073, ic_v 0.006230039522051811, bc_x0 0.013444386422634125, bc_x1 0.015138951130211353, int 0.4002948999404907\n",
            "ep 51100, total 0.5368586182594299, ic 0.0990929901599884, ic_v 0.006024881266057491, bc_x0 0.012316901236772537, bc_x1 0.018249353393912315, int 0.4011349081993103\n",
            "ep 51200, total 0.5312597155570984, ic 0.0993262529373169, ic_v 0.0061098323203623295, bc_x0 0.011986206285655499, bc_x1 0.015095746144652367, int 0.3987019956111908\n",
            "ep 51300, total 0.5306084752082825, ic 0.09927719086408615, ic_v 0.006133282091468573, bc_x0 0.011975474655628204, bc_x1 0.015081212855875492, int 0.39810168743133545\n",
            "ep 51400, total 0.5303303003311157, ic 0.09952925890684128, ic_v 0.006055391393601894, bc_x0 0.012072240002453327, bc_x1 0.015139104798436165, int 0.3974946141242981\n",
            "ep 51500, total 0.5320761203765869, ic 0.09916731715202332, ic_v 0.006202458869665861, bc_x0 0.01247123721987009, bc_x1 0.015543723478913307, int 0.39865177869796753\n",
            "ep 51600, total 0.536327600479126, ic 0.10241015255451202, ic_v 0.006015455350279808, bc_x0 0.013392162509262562, bc_x1 0.01781432144343853, int 0.3966558873653412\n",
            "ep 51700, total 0.6069258451461792, ic 0.10938039422035217, ic_v 0.007437853142619133, bc_x0 0.05999709665775299, bc_x1 0.022918973118066788, int 0.40715184807777405\n",
            "ep 51800, total 0.5274398922920227, ic 0.09870855510234833, ic_v 0.006117745768278837, bc_x0 0.011874228715896606, bc_x1 0.015009172260761261, int 0.39569059014320374\n",
            "ep 51900, total 0.5268572568893433, ic 0.0985846146941185, ic_v 0.006077857688069344, bc_x0 0.011886507272720337, bc_x1 0.014962627552449703, int 0.3953060209751129\n",
            "ep 52000, total 0.5261769890785217, ic 0.09841509163379669, ic_v 0.00609439006075263, bc_x0 0.011842957697808743, bc_x1 0.0149043258279562, int 0.39488059282302856\n",
            "ep 52100, total 0.5256747603416443, ic 0.09842967987060547, ic_v 0.006071525160223246, bc_x0 0.01188689935952425, bc_x1 0.015014002099633217, int 0.39423301815986633\n",
            "ep 52200, total 0.5250020623207092, ic 0.09821990132331848, ic_v 0.006067450623959303, bc_x0 0.01183493621647358, bc_x1 0.014890724793076515, int 0.393949419260025\n",
            "ep 52300, total 0.5243882536888123, ic 0.09821931272745132, ic_v 0.006099430378526449, bc_x0 0.011860336177051067, bc_x1 0.014869888313114643, int 0.3932996094226837\n",
            "ep 52400, total 0.5238239169120789, ic 0.09816348552703857, ic_v 0.0061044031754136086, bc_x0 0.0117782112210989, bc_x1 0.015052641741931438, int 0.3926854729652405\n",
            "ep 52500, total 0.5251852869987488, ic 0.09815742075443268, ic_v 0.006246289703994989, bc_x0 0.013129949569702148, bc_x1 0.01504332572221756, int 0.3925686478614807\n",
            "ep 52600, total 0.5226314067840576, ic 0.0977703109383583, ic_v 0.00605076365172863, bc_x0 0.011761650443077087, bc_x1 0.014869438484311104, int 0.3921395540237427\n",
            "ep 52700, total 0.559829831123352, ic 0.10300003737211227, ic_v 0.006907630246132612, bc_x0 0.03647381812334061, bc_x1 0.017448464408516884, int 0.39596015214920044\n",
            "ep 52800, total 0.5218729972839355, ic 0.09785452485084534, ic_v 0.006141169462352991, bc_x0 0.011965730227530003, bc_x1 0.015111107379198074, int 0.39076074957847595\n",
            "ep 52900, total 0.5206022262573242, ic 0.09763382375240326, ic_v 0.0060685486532747746, bc_x0 0.011683273129165173, bc_x1 0.014788728207349777, int 0.3903881311416626\n",
            "ep 53000, total 0.5199881196022034, ic 0.09739620983600616, ic_v 0.0060621895827353, bc_x0 0.01167324185371399, bc_x1 0.014714998193085194, int 0.3901017904281616\n",
            "ep 53100, total 0.5193781852722168, ic 0.09741039574146271, ic_v 0.006063280161470175, bc_x0 0.011661347001791, bc_x1 0.014713290147483349, int 0.38949018716812134\n",
            "ep 53200, total 0.5225187540054321, ic 0.09763553738594055, ic_v 0.006206996273249388, bc_x0 0.013706306926906109, bc_x1 0.014584489166736603, int 0.3903457522392273\n",
            "ep 53300, total 0.5344021320343018, ic 0.09766225516796112, ic_v 0.0060374001041054726, bc_x0 0.01305187214165926, bc_x1 0.023890536278486252, int 0.3937203288078308\n",
            "ep 53400, total 0.5204312205314636, ic 0.09688569605350494, ic_v 0.006005590315908194, bc_x0 0.01166994497179985, bc_x1 0.016397571191191673, int 0.3894326984882355\n",
            "ep 53500, total 0.5877496600151062, ic 0.10495926439762115, ic_v 0.0070522804744541645, bc_x0 0.03426077216863632, bc_x1 0.04599826782941818, int 0.39543938636779785\n",
            "ep 53600, total 0.5163787007331848, ic 0.09683957695960999, ic_v 0.006050144322216511, bc_x0 0.0115822060033679, bc_x1 0.014605648815631866, int 0.38726142048835754\n",
            "ep 53700, total 0.5158054828643799, ic 0.09680123627185822, ic_v 0.006039033178240061, bc_x0 0.011563506908714771, bc_x1 0.014641917310655117, int 0.38672009110450745\n",
            "ep 53800, total 0.5154685378074646, ic 0.0966564491391182, ic_v 0.0059952507726848125, bc_x0 0.011621767655014992, bc_x1 0.014646168798208237, int 0.38650912046432495\n",
            "ep 53900, total 0.5336053967475891, ic 0.09943386912345886, ic_v 0.006406145635992289, bc_x0 0.021599087864160538, bc_x1 0.015457798726856709, int 0.39066869020462036\n",
            "ep 54000, total 0.5140340328216553, ic 0.0964304730296135, ic_v 0.006032534409314394, bc_x0 0.011514732614159584, bc_x1 0.014528986997902393, int 0.3854875862598419\n",
            "ep 54100, total 0.5134605765342712, ic 0.09642436355352402, ic_v 0.006020401604473591, bc_x0 0.011499790474772453, bc_x1 0.014560118317604065, int 0.38491612672805786\n",
            "ep 54200, total 0.5130577087402344, ic 0.09645408391952515, ic_v 0.005993228405714035, bc_x0 0.011511743068695068, bc_x1 0.01455865427851677, int 0.3845002353191376\n",
            "ep 54300, total 0.5410158634185791, ic 0.09713331609964371, ic_v 0.005764283239841461, bc_x0 0.015458110719919205, bc_x1 0.03134686127305031, int 0.391273558139801\n",
            "ep 54400, total 0.5117137432098389, ic 0.09612157940864563, ic_v 0.00601694080978632, bc_x0 0.011448231525719166, bc_x1 0.014495710842311382, int 0.38359150290489197\n",
            "ep 54500, total 0.5111793875694275, ic 0.09613461792469025, ic_v 0.00600953446701169, bc_x0 0.01144206989556551, bc_x1 0.014531567692756653, int 0.38302183151245117\n",
            "ep 54600, total 0.5168869495391846, ic 0.09623660147190094, ic_v 0.005979730747640133, bc_x0 0.011928104795515537, bc_x1 0.017242174595594406, int 0.3854605555534363\n",
            "ep 54700, total 0.5101096630096436, ic 0.09573525935411453, ic_v 0.006044963374733925, bc_x0 0.011515744030475616, bc_x1 0.014384031295776367, int 0.3823899030685425\n",
            "ep 54800, total 0.509922206401825, ic 0.09597359597682953, ic_v 0.00604099640622735, bc_x0 0.011422012001276016, bc_x1 0.014920925721526146, int 0.381524920463562\n",
            "ep 54900, total 0.5088328719139099, ic 0.09560900926589966, ic_v 0.006010835058987141, bc_x0 0.011374558322131634, bc_x1 0.01439356617629528, int 0.38140517473220825\n",
            "ep 55000, total 0.5082788467407227, ic 0.0955469161272049, ic_v 0.005991409532725811, bc_x0 0.011370283551514149, bc_x1 0.01437315158545971, int 0.38095736503601074\n",
            "ep 55100, total 0.5115585923194885, ic 0.09598555415868759, ic_v 0.006019897293299437, bc_x0 0.011924234218895435, bc_x1 0.01717163249850273, int 0.38041752576828003\n",
            "ep 55200, total 0.5077448487281799, ic 0.09547460824251175, ic_v 0.006048824172466993, bc_x0 0.011389878578484058, bc_x1 0.014771981164813042, int 0.38001975417137146\n",
            "ep 55300, total 0.5199609994888306, ic 0.09764540940523148, ic_v 0.005756490398198366, bc_x0 0.01870882138609886, bc_x1 0.016286533325910568, int 0.38152390718460083\n",
            "ep 55400, total 0.5060134530067444, ic 0.09520323574542999, ic_v 0.005997202359139919, bc_x0 0.01130032166838646, bc_x1 0.01432058960199356, int 0.3791522979736328\n",
            "ep 55500, total 0.5054524540901184, ic 0.09506157040596008, ic_v 0.005997177679091692, bc_x0 0.01128378789871931, bc_x1 0.014301863498985767, int 0.37876826524734497\n",
            "ep 55600, total 0.5052025318145752, ic 0.09517114609479904, ic_v 0.006025517825037241, bc_x0 0.011379051953554153, bc_x1 0.014460458420217037, int 0.3781265318393707\n",
            "ep 55700, total 0.5060823559761047, ic 0.09484376013278961, ic_v 0.006039861124008894, bc_x0 0.012062066234648228, bc_x1 0.014549517072737217, int 0.378547340631485\n",
            "ep 55800, total 0.51887047290802, ic 0.09808037430047989, ic_v 0.006241235416382551, bc_x0 0.013073496520519257, bc_x1 0.023646369576454163, int 0.377789169549942\n",
            "ep 55900, total 0.5032235383987427, ic 0.09468856453895569, ic_v 0.005983313545584679, bc_x0 0.01122668944299221, bc_x1 0.014214595779776573, int 0.3770705461502075\n",
            "ep 56000, total 0.5027183294296265, ic 0.09485705196857452, ic_v 0.005970161408185959, bc_x0 0.011228119023144245, bc_x1 0.014218696393072605, int 0.37640446424484253\n",
            "ep 56100, total 0.5025835037231445, ic 0.0949615091085434, ic_v 0.005921614356338978, bc_x0 0.011419211514294147, bc_x1 0.014362595044076443, int 0.3758787512779236\n",
            "ep 56200, total 0.5045690536499023, ic 0.09479973465204239, ic_v 0.006101091392338276, bc_x0 0.012990055605769157, bc_x1 0.014231978915631771, int 0.37640640139579773\n",
            "ep 56300, total 0.5113027095794678, ic 0.09409551322460175, ic_v 0.005861989222466946, bc_x0 0.011828869581222534, bc_x1 0.020017122849822044, int 0.379459410905838\n",
            "ep 56400, total 0.5130861401557922, ic 0.09601021558046341, ic_v 0.006379113532602787, bc_x0 0.01900191232562065, bc_x1 0.015399930067360401, int 0.37625518441200256\n",
            "ep 56500, total 0.5009307861328125, ic 0.0942719578742981, ic_v 0.006065764930099249, bc_x0 0.011738341301679611, bc_x1 0.014297876507043839, int 0.374517023563385\n",
            "ep 56600, total 0.4994179308414459, ic 0.09413694590330124, ic_v 0.005960544105619192, bc_x0 0.011133039370179176, bc_x1 0.014124187640845776, int 0.3740233778953552\n",
            "ep 56700, total 0.4991264343261719, ic 0.09404000639915466, ic_v 0.005932109896093607, bc_x0 0.011217745020985603, bc_x1 0.014126255176961422, int 0.37377050518989563\n",
            "ep 56800, total 0.49836769700050354, ic 0.0939093679189682, ic_v 0.005946772638708353, bc_x0 0.011112071573734283, bc_x1 0.014076551422476768, int 0.3732830882072449\n",
            "ep 56900, total 0.4978741705417633, ic 0.09383343905210495, ic_v 0.00596737302839756, bc_x0 0.011153080500662327, bc_x1 0.014017201028764248, int 0.3728632628917694\n",
            "ep 57000, total 0.5017610192298889, ic 0.09462883323431015, ic_v 0.006085100583732128, bc_x0 0.01158260926604271, bc_x1 0.016775524243712425, int 0.37264904379844666\n",
            "ep 57100, total 0.4970816373825073, ic 0.09363604336977005, ic_v 0.005904070101678371, bc_x0 0.011154474690556526, bc_x1 0.014134985394775867, int 0.3722122013568878\n",
            "ep 57200, total 0.4969749450683594, ic 0.0936439111828804, ic_v 0.006019070278853178, bc_x0 0.01160915195941925, bc_x1 0.013989553786814213, int 0.3716733753681183\n",
            "ep 57300, total 0.49588504433631897, ic 0.09330837428569794, ic_v 0.0059833950363099575, bc_x0 0.01113951113075018, bc_x1 0.013947966508567333, int 0.37146592140197754\n",
            "ep 57400, total 0.49513041973114014, ic 0.09343981742858887, ic_v 0.005955008789896965, bc_x0 0.011034984141588211, bc_x1 0.013983193784952164, int 0.37067753076553345\n",
            "ep 57500, total 0.5010125041007996, ic 0.09362123906612396, ic_v 0.005888935644179583, bc_x0 0.011589353904128075, bc_x1 0.01645364984869957, int 0.37341946363449097\n",
            "ep 57600, total 0.4940609037876129, ic 0.09317641705274582, ic_v 0.0059496378526091576, bc_x0 0.010996968485414982, bc_x1 0.013940022327005863, int 0.36995798349380493\n",
            "ep 57700, total 0.49359434843063354, ic 0.09307861328125, ic_v 0.005941594485193491, bc_x0 0.01098586618900299, bc_x1 0.013933362439274788, int 0.36961501836776733\n",
            "ep 57800, total 0.49562370777130127, ic 0.09338053315877914, ic_v 0.00598665839061141, bc_x0 0.012295440770685673, bc_x1 0.013864431530237198, int 0.37005671858787537\n",
            "ep 57900, total 0.49520137906074524, ic 0.09327271580696106, ic_v 0.006092769093811512, bc_x0 0.01254417933523655, bc_x1 0.014338281005620956, int 0.3689135015010834\n",
            "ep 58000, total 0.491992712020874, ic 0.09285839647054672, ic_v 0.005927351303398609, bc_x0 0.010946441441774368, bc_x1 0.01387446653097868, int 0.36834612488746643\n",
            "ep 58100, total 0.49176648259162903, ic 0.09279783815145493, ic_v 0.005887625273317099, bc_x0 0.011051181703805923, bc_x1 0.013928758911788464, int 0.3680611550807953\n",
            "ep 58200, total 0.49097129702568054, ic 0.092679463326931, ic_v 0.005946590099483728, bc_x0 0.01094152219593525, bc_x1 0.013843100517988205, int 0.3675207197666168\n",
            "ep 58300, total 0.49064570665359497, ic 0.09267985820770264, ic_v 0.005891037173569202, bc_x0 0.010920127853751183, bc_x1 0.01389999408274889, int 0.36721479892730713\n",
            "ep 58400, total 0.4987316429615021, ic 0.09689826518297195, ic_v 0.005806160159409046, bc_x0 0.012857653200626373, bc_x1 0.017888875678181648, int 0.36524078249931335\n",
            "ep 58500, total 0.4894183874130249, ic 0.09246141463518143, ic_v 0.005932820960879326, bc_x0 0.01088500116020441, bc_x1 0.0138281574472785, int 0.36627107858657837\n",
            "ep 58600, total 0.4888986051082611, ic 0.09239078313112259, ic_v 0.005926501005887985, bc_x0 0.010870344936847687, bc_x1 0.013795335777103901, int 0.3658757209777832\n",
            "ep 58700, total 0.49058833718299866, ic 0.09239666163921356, ic_v 0.0059963674284517765, bc_x0 0.012162950821220875, bc_x1 0.013777985237538815, int 0.36621445417404175\n",
            "ep 58800, total 0.4901669919490814, ic 0.09190675616264343, ic_v 0.005867431405931711, bc_x0 0.010938417166471481, bc_x1 0.015107112936675549, int 0.3663073480129242\n",
            "ep 58900, total 0.5109581351280212, ic 0.09673239290714264, ic_v 0.0056131621822714806, bc_x0 0.026036910712718964, bc_x1 0.015335503965616226, int 0.36720019578933716\n",
            "ep 59000, total 0.4869207441806793, ic 0.092007577419281, ic_v 0.005937821697443724, bc_x0 0.01086725015193224, bc_x1 0.013730478473007679, int 0.3643377125263214\n",
            "ep 59100, total 0.4863686263561249, ic 0.09198366850614548, ic_v 0.005918748211115599, bc_x0 0.01081821508705616, bc_x1 0.013734991662204266, int 0.36387306451797485\n",
            "ep 59200, total 0.5156495571136475, ic 0.09708376973867416, ic_v 0.005589451175183058, bc_x0 0.029343225061893463, bc_x1 0.01647990569472313, int 0.367113322019577\n",
            "ep 59300, total 0.5043887495994568, ic 0.0940980464220047, ic_v 0.006383918691426516, bc_x0 0.020757611840963364, bc_x1 0.01786903291940689, int 0.365240216255188\n",
            "ep 59400, total 0.5058994293212891, ic 0.09613079577684402, ic_v 0.005950000137090683, bc_x0 0.012142864987254143, bc_x1 0.027051586657762527, int 0.3645842671394348\n",
            "ep 59500, total 0.48495689034461975, ic 0.09204398095607758, ic_v 0.005940855946391821, bc_x0 0.01101834885776043, bc_x1 0.013896167278289795, int 0.36201760172843933\n",
            "ep 59600, total 0.48416537046432495, ic 0.0921444445848465, ic_v 0.005835403222590685, bc_x0 0.01083109900355339, bc_x1 0.013693747110664845, int 0.3616207242012024\n",
            "ep 59700, total 0.48521706461906433, ic 0.09176886826753616, ic_v 0.0059233130887150764, bc_x0 0.010882169008255005, bc_x1 0.015401378273963928, int 0.36120134592056274\n",
            "ep 59800, total 0.48295915126800537, ic 0.09139233082532883, ic_v 0.0059311604127287865, bc_x0 0.010818727314472198, bc_x1 0.013637038879096508, int 0.3611399233341217\n",
            "ep 59900, total 0.4828374683856964, ic 0.09130488336086273, ic_v 0.005963998381048441, bc_x0 0.01096347812563181, bc_x1 0.013685561716556549, int 0.3608796000480652\n",
            "ep 60000, total 0.4827958345413208, ic 0.09127417951822281, ic_v 0.005913879722356796, bc_x0 0.010824105702340603, bc_x1 0.014204596169292927, int 0.36053910851478577\n",
            "ep 60100, total 0.4825151562690735, ic 0.09155408293008804, ic_v 0.005831712391227484, bc_x0 0.011234458535909653, bc_x1 0.013782651163637638, int 0.3600722551345825\n",
            "ep 60200, total 0.4808361530303955, ic 0.09099102765321732, ic_v 0.005890907719731331, bc_x0 0.010666193440556526, bc_x1 0.013536036014556885, int 0.35971200466156006\n",
            "ep 60300, total 0.4966519773006439, ic 0.09313113987445831, ic_v 0.006349300965666771, bc_x0 0.022064028307795525, bc_x1 0.013805307447910309, int 0.3612622022628784\n",
            "ep 60400, total 0.47988781332969666, ic 0.09088664501905441, ic_v 0.005875362548977137, bc_x0 0.01064813882112503, bc_x1 0.013528753072023392, int 0.35890892148017883\n",
            "ep 60500, total 0.4793909192085266, ic 0.09083986282348633, ic_v 0.005890660919249058, bc_x0 0.010644892230629921, bc_x1 0.013519404456019402, int 0.3584561049938202\n",
            "ep 60600, total 0.4792034924030304, ic 0.09131862968206406, ic_v 0.005873057991266251, bc_x0 0.010662124492228031, bc_x1 0.013752011582255363, int 0.35755765438079834\n",
            "ep 60700, total 0.5491697788238525, ic 0.10188134759664536, ic_v 0.006913411431014538, bc_x0 0.057110901921987534, bc_x1 0.013540693558752537, int 0.36968347430229187\n",
            "ep 60800, total 0.4808521568775177, ic 0.09034939110279083, ic_v 0.00580668356269598, bc_x0 0.010805930942296982, bc_x1 0.015264825895428658, int 0.35858529806137085\n",
            "ep 60900, total 0.47743862867355347, ic 0.09050159901380539, ic_v 0.005873792804777622, bc_x0 0.010584553703665733, bc_x1 0.013464201241731644, int 0.35697445273399353\n",
            "ep 61000, total 0.4781453311443329, ic 0.09072665870189667, ic_v 0.005773759447038174, bc_x0 0.011306505650281906, bc_x1 0.013570212759077549, int 0.3567281663417816\n",
            "ep 61100, total 0.47676387429237366, ic 0.09047847986221313, ic_v 0.005894585978239775, bc_x0 0.010574042797088623, bc_x1 0.01372755691409111, int 0.35604918003082275\n",
            "ep 61200, total 0.4760127067565918, ic 0.09031391888856888, ic_v 0.005861725192517042, bc_x0 0.010551566258072853, bc_x1 0.013428101316094398, int 0.35581737756729126\n",
            "ep 61300, total 0.47553926706314087, ic 0.09014178067445755, ic_v 0.005871717818081379, bc_x0 0.010550165548920631, bc_x1 0.013378811068832874, int 0.35555675625801086\n",
            "ep 61400, total 0.47541284561157227, ic 0.09029939770698547, ic_v 0.005886862054467201, bc_x0 0.010792127810418606, bc_x1 0.013355797156691551, int 0.3550386428833008\n",
            "ep 61500, total 0.47616520524024963, ic 0.09005473554134369, ic_v 0.0059836264699697495, bc_x0 0.011669469997286797, bc_x1 0.013288956135511398, int 0.3551284074783325\n",
            "ep 61600, total 0.47409588098526, ic 0.08989433199167252, ic_v 0.005869403947144747, bc_x0 0.010506791062653065, bc_x1 0.013337060809135437, int 0.35444825887680054\n",
            "ep 61700, total 0.473681777715683, ic 0.08978623896837234, ic_v 0.005872850771993399, bc_x0 0.010505890473723412, bc_x1 0.013317402452230453, int 0.35415932536125183\n",
            "ep 61800, total 0.4758980870246887, ic 0.08982369303703308, ic_v 0.005912563297897577, bc_x0 0.011613080278038979, bc_x1 0.01374486368149519, int 0.35476383566856384\n",
            "ep 61900, total 0.4847116470336914, ic 0.09087283909320831, ic_v 0.005810610018670559, bc_x0 0.011022359132766724, bc_x1 0.018871527165174484, int 0.3580942749977112\n",
            "ep 62000, total 0.47481393814086914, ic 0.0896839052438736, ic_v 0.0058879307471215725, bc_x0 0.010658441111445427, bc_x1 0.01439755316823721, int 0.3541460335254669\n",
            "ep 62100, total 0.5260555148124695, ic 0.09600565582513809, ic_v 0.006741285789757967, bc_x0 0.03453747183084488, bc_x1 0.03010324016213417, int 0.3586278259754181\n",
            "ep 62200, total 0.47681814432144165, ic 0.09065525233745575, ic_v 0.005734906066209078, bc_x0 0.013592792674899101, bc_x1 0.013606715947389603, int 0.3531884253025055\n",
            "ep 62300, total 0.4739609360694885, ic 0.08924303203821182, ic_v 0.005766574759036303, bc_x0 0.01074334979057312, bc_x1 0.015149573795497417, int 0.3530183732509613\n",
            "ep 62400, total 0.47031378746032715, ic 0.0893152579665184, ic_v 0.005849361885339022, bc_x0 0.010415720753371716, bc_x1 0.01324777863919735, int 0.3514455556869507\n",
            "ep 62500, total 0.46989956498146057, ic 0.08939238637685776, ic_v 0.005855043884366751, bc_x0 0.010440862737596035, bc_x1 0.013256344944238663, int 0.350914865732193\n",
            "ep 62600, total 0.4712655246257782, ic 0.08931095898151398, ic_v 0.005851082503795624, bc_x0 0.010581901296973228, bc_x1 0.013577569276094437, int 0.35190391540527344\n",
            "ep 62700, total 0.4844358265399933, ic 0.09142962843179703, ic_v 0.006292195990681648, bc_x0 0.020985368639230728, bc_x1 0.01317173708230257, int 0.3525168299674988\n",
            "ep 62800, total 0.4684557020664215, ic 0.08901119977235794, ic_v 0.005853638984262943, bc_x0 0.01037371251732111, bc_x1 0.013202043250203133, int 0.34997501969337463\n",
            "ep 62900, total 0.4680895209312439, ic 0.08887863159179688, ic_v 0.005844336003065109, bc_x0 0.010373927652835846, bc_x1 0.013184379786252975, int 0.34976816177368164\n",
            "ep 63000, total 0.4686547517776489, ic 0.08896853774785995, ic_v 0.005927261430770159, bc_x0 0.011223657056689262, bc_x1 0.013053353875875473, int 0.34944185614585876\n",
            "ep 63100, total 0.4675384759902954, ic 0.0894649475812912, ic_v 0.005845694337040186, bc_x0 0.010450762696564198, bc_x1 0.013273297809064388, int 0.3484637141227722\n",
            "ep 63200, total 0.4714030623435974, ic 0.08945543318986893, ic_v 0.005959821864962578, bc_x0 0.012242951430380344, bc_x1 0.013513091951608658, int 0.3501916527748108\n",
            "ep 63300, total 0.47562170028686523, ic 0.08961872011423111, ic_v 0.005971876904368401, bc_x0 0.010775686241686344, bc_x1 0.02030172385275364, int 0.3489135801792145\n",
            "ep 63400, total 0.51005619764328, ic 0.09464370459318161, ic_v 0.006713913753628731, bc_x0 0.038725245743989944, bc_x1 0.016820427030324936, int 0.3531128168106079\n",
            "ep 63500, total 0.4652404189109802, ic 0.08849705010652542, ic_v 0.005827674642205238, bc_x0 0.010296937078237534, bc_x1 0.013096974231302738, int 0.3474816679954529\n",
            "ep 63600, total 0.4649337828159332, ic 0.08855785429477692, ic_v 0.005807593464851379, bc_x0 0.010361524298787117, bc_x1 0.013165723532438278, int 0.34700098633766174\n",
            "ep 63700, total 0.4643474221229553, ic 0.08832050859928131, ic_v 0.0058244806714355946, bc_x0 0.01027529314160347, bc_x1 0.013067676685750484, int 0.34681934118270874\n",
            "ep 63800, total 0.46395909786224365, ic 0.08845881372690201, ic_v 0.005828955210745335, bc_x0 0.010267752222716808, bc_x1 0.013174671679735184, int 0.3461887538433075\n",
            "ep 63900, total 0.4634721577167511, ic 0.088197723031044, ic_v 0.005849099718034267, bc_x0 0.010295472107827663, bc_x1 0.013070548884570599, int 0.3460191786289215\n",
            "ep 64000, total 0.4629802405834198, ic 0.08810992538928986, ic_v 0.0058448645286262035, bc_x0 0.010275646112859249, bc_x1 0.013021092861890793, int 0.3456885814666748\n",
            "ep 64100, total 0.4626419246196747, ic 0.08806473761796951, ic_v 0.0058282711543142796, bc_x0 0.010256505571305752, bc_x1 0.013158702291548252, int 0.3452935814857483\n",
            "ep 64200, total 0.4621448814868927, ic 0.08814727514982224, ic_v 0.005813254974782467, bc_x0 0.01023913361132145, bc_x1 0.013113772496581078, int 0.34479132294654846\n",
            "ep 64300, total 0.4616355299949646, ic 0.08796291798353195, ic_v 0.00581094715744257, bc_x0 0.010226594284176826, bc_x1 0.012996220961213112, int 0.3445986807346344\n",
            "ep 64400, total 0.46131888031959534, ic 0.08794251829385757, ic_v 0.00582883320748806, bc_x0 0.010204914957284927, bc_x1 0.013150328770279884, int 0.3441521227359772\n",
            "ep 64500, total 0.4608848989009857, ic 0.08791419863700867, ic_v 0.005835254676640034, bc_x0 0.010211332701146603, bc_x1 0.013168303295969963, int 0.3437156677246094\n",
            "ep 64600, total 0.4605620205402374, ic 0.08806239068508148, ic_v 0.005816050339490175, bc_x0 0.010282279923558235, bc_x1 0.013048858381807804, int 0.3433122932910919\n",
            "ep 64700, total 0.4601767957210541, ic 0.08751194179058075, ic_v 0.0058524166233837605, bc_x0 0.010363197885453701, bc_x1 0.012886583805084229, int 0.3435225188732147\n",
            "ep 64800, total 0.45949462056159973, ic 0.087568499147892, ic_v 0.005815921816974878, bc_x0 0.010223787277936935, bc_x1 0.012926079332828522, int 0.342920184135437\n",
            "ep 64900, total 0.4623315632343292, ic 0.09022167325019836, ic_v 0.005647134035825729, bc_x0 0.011408889666199684, bc_x1 0.013271198607981205, int 0.34174248576164246\n",
            "ep 65000, total 0.45977628231048584, ic 0.08746014535427094, ic_v 0.00588968163356185, bc_x0 0.01095645036548376, bc_x1 0.012835281901061535, int 0.34259456396102905\n",
            "ep 65100, total 0.4698571562767029, ic 0.08874717354774475, ic_v 0.005591222085058689, bc_x0 0.01521605160087347, bc_x1 0.016321849077939987, int 0.34394070506095886\n",
            "ep 65200, total 0.4629616439342499, ic 0.08729612082242966, ic_v 0.005842599552124739, bc_x0 0.011258787475526333, bc_x1 0.014114366844296455, int 0.3444095849990845\n",
            "ep 65300, total 0.5194563269615173, ic 0.09479450434446335, ic_v 0.0055305613204836845, bc_x0 0.04296697676181793, bc_x1 0.024922052398324013, int 0.3512020409107208\n",
            "ep 65400, total 0.45672541856765747, ic 0.08710674196481705, ic_v 0.0058101993054151535, bc_x0 0.010102737694978714, bc_x1 0.012852298095822334, int 0.3408132493495941\n",
            "ep 65500, total 0.4566546678543091, ic 0.08716728538274765, ic_v 0.005851867608726025, bc_x0 0.01028850581496954, bc_x1 0.01297328807413578, int 0.3403335511684418\n",
            "ep 65600, total 0.45625942945480347, ic 0.08738851547241211, ic_v 0.0058226026594638824, bc_x0 0.010132315568625927, bc_x1 0.013071735389530659, int 0.3398040533065796\n",
            "ep 65700, total 0.4563959538936615, ic 0.08688807487487793, ic_v 0.005752749741077423, bc_x0 0.010139144957065582, bc_x1 0.013320934027433395, int 0.34025487303733826\n",
            "ep 65800, total 0.4664272665977478, ic 0.08836319297552109, ic_v 0.006002133246511221, bc_x0 0.011277619749307632, bc_x1 0.02053871937096119, int 0.3402054011821747\n",
            "ep 65900, total 0.4608023464679718, ic 0.08746110647916794, ic_v 0.006049102637916803, bc_x0 0.014263210818171501, bc_x1 0.013020784594118595, int 0.3399679362773895\n",
            "ep 66000, total 0.45414939522743225, ic 0.08668190240859985, ic_v 0.005793027114123106, bc_x0 0.010048496536910534, bc_x1 0.012782018631696701, int 0.3388037383556366\n",
            "ep 66100, total 0.45374903082847595, ic 0.08658838272094727, ic_v 0.0057928068563342094, bc_x0 0.010041146539151669, bc_x1 0.012771868146955967, int 0.33851462602615356\n",
            "ep 66200, total 0.4537754952907562, ic 0.08647764474153519, ic_v 0.00585623923689127, bc_x0 0.010346934199333191, bc_x1 0.012663373723626137, int 0.33839109539985657\n",
            "ep 66300, total 0.45352816581726074, ic 0.08659997582435608, ic_v 0.005850926972925663, bc_x0 0.010486284270882607, bc_x1 0.012743543833494186, int 0.33780723810195923\n",
            "ep 66400, total 0.548403799533844, ic 0.09700965881347656, ic_v 0.007043514400720596, bc_x0 0.052590105682611465, bc_x1 0.04172810912132263, int 0.34999218583106995\n",
            "ep 66500, total 0.45197638869285583, ic 0.08634521812200546, ic_v 0.005803972017019987, bc_x0 0.010005665011703968, bc_x1 0.01272638887166977, int 0.33705490827560425\n",
            "ep 66600, total 0.45173707604408264, ic 0.08628285676240921, ic_v 0.0058310250751674175, bc_x0 0.010151790454983711, bc_x1 0.012660359963774681, int 0.33677080273628235\n",
            "ep 66700, total 0.4511372148990631, ic 0.08623632788658142, ic_v 0.005789066664874554, bc_x0 0.009980815462768078, bc_x1 0.012705551460385323, int 0.33638519048690796\n",
            "ep 66800, total 0.4513276517391205, ic 0.0863419771194458, ic_v 0.005843454040586948, bc_x0 0.010176530107855797, bc_x1 0.013031579554080963, int 0.3358938694000244\n",
            "ep 66900, total 0.452808141708374, ic 0.08626483380794525, ic_v 0.005905832629650831, bc_x0 0.0116999177262187, bc_x1 0.012667067348957062, int 0.3362302780151367\n",
            "ep 67000, total 0.45681998133659363, ic 0.08679232746362686, ic_v 0.005847030784934759, bc_x0 0.011262593790888786, bc_x1 0.014877716079354286, int 0.33800008893013\n",
            "ep 67100, total 0.449445903301239, ic 0.08592292666435242, ic_v 0.005794365890324116, bc_x0 0.009940755553543568, bc_x1 0.012651285156607628, int 0.3350963294506073\n",
            "ep 67200, total 0.44942429661750793, ic 0.08596103638410568, ic_v 0.005835716612637043, bc_x0 0.010214670561254025, bc_x1 0.01265816017985344, int 0.33471447229385376\n",
            "ep 67300, total 0.45626112818717957, ic 0.08637319505214691, ic_v 0.0058555006980896, bc_x0 0.011889159679412842, bc_x1 0.015201862901449203, int 0.33690115809440613\n",
            "ep 67400, total 0.45350685715675354, ic 0.08605396747589111, ic_v 0.005660539492964745, bc_x0 0.01164134033024311, bc_x1 0.014433665201067924, int 0.3356770873069763\n",
            "ep 67500, total 0.4906098246574402, ic 0.08961749821901321, ic_v 0.006392748095095158, bc_x0 0.020406002178788185, bc_x1 0.03519584983587265, int 0.33895745873451233\n",
            "ep 67600, total 0.45152565836906433, ic 0.0868278443813324, ic_v 0.005645844619721174, bc_x0 0.012523056007921696, bc_x1 0.012834872119128704, int 0.3336537778377533\n",
            "ep 67700, total 0.4626924991607666, ic 0.08585294336080551, ic_v 0.0056388406082987785, bc_x0 0.011387793347239494, bc_x1 0.022579839453101158, int 0.3371928036212921\n",
            "ep 67800, total 0.4499964714050293, ic 0.08580530434846878, ic_v 0.005947148893028498, bc_x0 0.012216140516102314, bc_x1 0.012699758633971214, int 0.3332878351211548\n",
            "ep 67900, total 0.44611856341362, ic 0.08533894270658493, ic_v 0.0057757264003157616, bc_x0 0.009870324283838272, bc_x1 0.012547431513667107, int 0.3325458765029907\n",
            "ep 68000, total 0.4457385838031769, ic 0.08533214032649994, ic_v 0.005800534039735794, bc_x0 0.009911343455314636, bc_x1 0.01254894956946373, int 0.3321053087711334\n",
            "ep 68100, total 0.44528526067733765, ic 0.08524686098098755, ic_v 0.0057901013642549515, bc_x0 0.009883129969239235, bc_x1 0.012513074092566967, int 0.331811785697937\n",
            "ep 68200, total 0.44516023993492126, ic 0.08510943502187729, ic_v 0.005756651982665062, bc_x0 0.009882740676403046, bc_x1 0.012581097893416882, int 0.3317900002002716\n",
            "ep 68300, total 0.4452383518218994, ic 0.08591711521148682, ic_v 0.005729525350034237, bc_x0 0.010007821023464203, bc_x1 0.012743044644594193, int 0.33080053329467773\n",
            "ep 68400, total 0.4441679120063782, ic 0.08510299026966095, ic_v 0.00579442223533988, bc_x0 0.009881185367703438, bc_x1 0.012525607831776142, int 0.3308233916759491\n",
            "ep 68500, total 0.4436110854148865, ic 0.08497157692909241, ic_v 0.005778598599135876, bc_x0 0.00981699675321579, bc_x1 0.012482469901442528, int 0.3305211365222931\n",
            "ep 68600, total 0.44495296478271484, ic 0.08533589541912079, ic_v 0.005674237385392189, bc_x0 0.010905880481004715, bc_x1 0.012656645849347115, int 0.3303399980068207\n",
            "ep 68700, total 0.4428037106990814, ic 0.08486250042915344, ic_v 0.005780527368187904, bc_x0 0.009808075614273548, bc_x1 0.01246771402657032, int 0.3298446238040924\n",
            "ep 68800, total 0.4424333870410919, ic 0.08502814918756485, ic_v 0.00575290946289897, bc_x0 0.009818511083722115, bc_x1 0.012480178847908974, int 0.3293133080005646\n",
            "ep 68900, total 0.4428953230381012, ic 0.08498530089855194, ic_v 0.005766700953245163, bc_x0 0.009968810714781284, bc_x1 0.012728370726108551, int 0.329405814409256\n",
            "ep 69000, total 0.4415853023529053, ic 0.0846620574593544, ic_v 0.005772396456450224, bc_x0 0.009770273230969906, bc_x1 0.012430615723133087, int 0.32890963554382324\n",
            "ep 69100, total 0.44132357835769653, ic 0.08472415804862976, ic_v 0.005740278400480747, bc_x0 0.009845724329352379, bc_x1 0.012474906630814075, int 0.3284981846809387\n",
            "ep 69200, total 0.4408647119998932, ic 0.08453976362943649, ic_v 0.00579653587192297, bc_x0 0.00984512735158205, bc_x1 0.012381384149193764, int 0.3282615840435028\n",
            "ep 69300, total 0.4405161440372467, ic 0.08447838574647903, ic_v 0.005781546235084534, bc_x0 0.009767930023372173, bc_x1 0.012464884668588638, int 0.3279830813407898\n",
            "ep 69400, total 0.4403662085533142, ic 0.08451966941356659, ic_v 0.005798038560897112, bc_x0 0.009779594838619232, bc_x1 0.01274555828422308, int 0.32748299837112427\n",
            "ep 69500, total 0.43958306312561035, ic 0.0843518078327179, ic_v 0.005775417201220989, bc_x0 0.009741607122123241, bc_x1 0.01237331423908472, int 0.3273005783557892\n",
            "ep 69600, total 0.4395436942577362, ic 0.08424800634384155, ic_v 0.005723157431930304, bc_x0 0.009783963672816753, bc_x1 0.012492533773183823, int 0.3272556960582733\n",
            "ep 69700, total 0.438884973526001, ic 0.08417236804962158, ic_v 0.0057434746995568275, bc_x0 0.00974357221275568, bc_x1 0.012367477640509605, int 0.32681772112846375\n",
            "ep 69800, total 0.4384029805660248, ic 0.08415985852479935, ic_v 0.005774252582341433, bc_x0 0.009730822406709194, bc_x1 0.012350565753877163, int 0.32634714245796204\n",
            "ep 69900, total 0.43879061937332153, ic 0.08464095741510391, ic_v 0.00573266064748168, bc_x0 0.009956425987184048, bc_x1 0.01234703790396452, int 0.32607316970825195\n",
            "ep 70000, total 0.4395110607147217, ic 0.08401702344417572, ic_v 0.005686684511601925, bc_x0 0.009842305444180965, bc_x1 0.013358168303966522, int 0.32656651735305786\n",
            "ep 70100, total 0.4371950924396515, ic 0.08392024785280228, ic_v 0.005758205894380808, bc_x0 0.009681101888418198, bc_x1 0.012296716682612896, int 0.32549849152565\n",
            "ep 70200, total 0.436859667301178, ic 0.08390025049448013, ic_v 0.005739704240113497, bc_x0 0.009686639532446861, bc_x1 0.012305564247071743, int 0.32518714666366577\n",
            "ep 70300, total 0.43725064396858215, ic 0.08408291637897491, ic_v 0.0057418313808739185, bc_x0 0.009890154004096985, bc_x1 0.012683664448559284, int 0.32481175661087036\n",
            "ep 70400, total 0.440437376499176, ic 0.08427679538726807, ic_v 0.005844795145094395, bc_x0 0.011306552216410637, bc_x1 0.012990610674023628, int 0.32597824931144714\n",
            "ep 70500, total 0.4356338679790497, ic 0.08370079845190048, ic_v 0.005751519929617643, bc_x0 0.009653476066887379, bc_x1 0.012272343970835209, int 0.3242153227329254\n",
            "ep 70600, total 0.4354151487350464, ic 0.08353135734796524, ic_v 0.005748424679040909, bc_x0 0.009649979881942272, bc_x1 0.012303514406085014, int 0.3241415023803711\n",
            "ep 70700, total 0.43486249446868896, ic 0.0835595428943634, ic_v 0.005743321031332016, bc_x0 0.009641550481319427, bc_x1 0.012242180295288563, int 0.3236355185508728\n",
            "ep 70800, total 0.4344426095485687, ic 0.08348479866981506, ic_v 0.005757498554885387, bc_x0 0.009633534587919712, bc_x1 0.012212513014674187, int 0.3233138918876648\n",
            "ep 70900, total 0.4342113435268402, ic 0.08333776146173477, ic_v 0.0057733203284442425, bc_x0 0.009681263007223606, bc_x1 0.01216985285282135, int 0.3232087790966034\n",
            "ep 71000, total 0.4337950646877289, ic 0.08348046988248825, ic_v 0.005770826246589422, bc_x0 0.009656550362706184, bc_x1 0.012327203527092934, int 0.3225196599960327\n",
            "ep 71100, total 0.43604394793510437, ic 0.08359123766422272, ic_v 0.005871288012713194, bc_x0 0.011208845302462578, bc_x1 0.012103692628443241, int 0.32322850823402405\n",
            "ep 71200, total 0.43296587467193604, ic 0.08325745910406113, ic_v 0.005725059658288956, bc_x0 0.00960410013794899, bc_x1 0.012208699248731136, int 0.3221301734447479\n",
            "ep 71300, total 0.43814390897750854, ic 0.08443231880664825, ic_v 0.005892608780413866, bc_x0 0.011099399998784065, bc_x1 0.015059486031532288, int 0.3216196894645691\n",
            "ep 71400, total 0.43349379301071167, ic 0.08303646743297577, ic_v 0.005766580812633038, bc_x0 0.0100465202704072, bc_x1 0.012200976721942425, int 0.32240283489227295\n",
            "ep 71500, total 0.4318641424179077, ic 0.08305968344211578, ic_v 0.005718818865716457, bc_x0 0.009641841053962708, bc_x1 0.012182104401290417, int 0.3212212920188904\n",
            "ep 71600, total 0.4313165843486786, ic 0.08300241082906723, ic_v 0.0057396069169044495, bc_x0 0.009564372710883617, bc_x1 0.01213572733104229, int 0.32083407044410706\n",
            "ep 71700, total 0.43176504969596863, ic 0.08348459005355835, ic_v 0.005727230105549097, bc_x0 0.009650986641645432, bc_x1 0.012797266244888306, int 0.32006457448005676\n",
            "ep 71800, total 0.4324832260608673, ic 0.08327119052410126, ic_v 0.005844681058079004, bc_x0 0.010343777015805244, bc_x1 0.012893099337816238, int 0.32009005546569824\n",
            "ep 71900, total 0.43015745282173157, ic 0.08278155326843262, ic_v 0.005745185539126396, bc_x0 0.009539610706269741, bc_x1 0.012098874896764755, int 0.3199518322944641\n",
            "ep 72000, total 0.42979273200035095, ic 0.08277827501296997, ic_v 0.005749921780079603, bc_x0 0.009552466683089733, bc_x1 0.012102662585675716, int 0.3195689916610718\n",
            "ep 72100, total 0.4296666383743286, ic 0.08276242017745972, ic_v 0.005714640021324158, bc_x0 0.00954781286418438, bc_x1 0.012180158868432045, int 0.3194212019443512\n",
            "ep 72200, total 0.43067046999931335, ic 0.08302365988492966, ic_v 0.005649541039019823, bc_x0 0.01038150954991579, bc_x1 0.012294427491724491, int 0.31928086280822754\n",
            "ep 72300, total 0.44949647784233093, ic 0.08388569951057434, ic_v 0.005757241975516081, bc_x0 0.011769896373152733, bc_x1 0.023540738970041275, int 0.32450246810913086\n",
            "ep 72400, total 0.4421430230140686, ic 0.08384764939546585, ic_v 0.005552332382649183, bc_x0 0.015250043012201786, bc_x1 0.01612687297165394, int 0.3213256597518921\n",
            "ep 72500, total 0.42786285281181335, ic 0.0824054554104805, ic_v 0.005738853011280298, bc_x0 0.009493346326053143, bc_x1 0.01203477568924427, int 0.31814998388290405\n",
            "ep 72600, total 0.42759081721305847, ic 0.08236470073461533, ic_v 0.005717114545404911, bc_x0 0.009501857683062553, bc_x1 0.012057633139193058, int 0.3179090917110443\n",
            "ep 72700, total 0.4286368191242218, ic 0.08318400382995605, ic_v 0.00568033941090107, bc_x0 0.00994306430220604, bc_x1 0.0127248615026474, int 0.317064106464386\n",
            "ep 72800, total 0.4550246596336365, ic 0.08564377576112747, ic_v 0.006258397828787565, bc_x0 0.01981569081544876, bc_x1 0.02303045243024826, int 0.3202359080314636\n",
            "ep 72900, total 0.42634665966033936, ic 0.08216436207294464, ic_v 0.005738893523812294, bc_x0 0.009465993382036686, bc_x1 0.01199059747159481, int 0.3169463276863098\n",
            "ep 73000, total 0.4261440634727478, ic 0.0822872593998909, ic_v 0.005706410855054855, bc_x0 0.00953669287264347, bc_x1 0.012114524841308594, int 0.31645873188972473\n",
            "ep 73100, total 0.42565590143203735, ic 0.08205968141555786, ic_v 0.0057419100776314735, bc_x0 0.009491169825196266, bc_x1 0.0119466632604599, int 0.3163760006427765\n",
            "ep 73200, total 0.4428093135356903, ic 0.0842823013663292, ic_v 0.006157169584184885, bc_x0 0.018186816945672035, bc_x1 0.016430143266916275, int 0.3177124261856079\n",
            "ep 73300, total 0.42484650015830994, ic 0.08192828297615051, ic_v 0.005732489749789238, bc_x0 0.009435516782104969, bc_x1 0.011952828615903854, int 0.3157569169998169\n",
            "ep 73400, total 0.42451363801956177, ic 0.08204502612352371, ic_v 0.005710915196686983, bc_x0 0.009442491456866264, bc_x1 0.011953598819673061, int 0.315321147441864\n",
            "ep 73500, total 0.42414605617523193, ic 0.08187169581651688, ic_v 0.005720349960029125, bc_x0 0.009431394748389721, bc_x1 0.011927429586648941, int 0.3151547312736511\n",
            "ep 73600, total 0.4289664626121521, ic 0.0832262933254242, ic_v 0.005878164432942867, bc_x0 0.010854491032660007, bc_x1 0.014352753758430481, int 0.31461432576179504\n",
            "ep 73700, total 0.42335233092308044, ic 0.08168931305408478, ic_v 0.0057297018356621265, bc_x0 0.009408245794475079, bc_x1 0.01190880872309208, int 0.31457582116127014\n",
            "ep 73800, total 0.42302629351615906, ic 0.08169958740472794, ic_v 0.005737593397498131, bc_x0 0.009408834390342236, bc_x1 0.011944974772632122, int 0.31419479846954346\n",
            "ep 73900, total 0.42264145612716675, ic 0.08165260404348373, ic_v 0.005722725298255682, bc_x0 0.009399180300533772, bc_x1 0.01192525029182434, int 0.3139011859893799\n",
            "ep 74000, total 0.4279548227787018, ic 0.08174248039722443, ic_v 0.0057104770094156265, bc_x0 0.009712501429021358, bc_x1 0.015266119502484798, int 0.3154827654361725\n",
            "ep 74100, total 0.4268365800380707, ic 0.0821262076497078, ic_v 0.005895988084375858, bc_x0 0.012616823427379131, bc_x1 0.01192856952548027, int 0.31422850489616394\n",
            "ep 74200, total 0.4216032922267914, ic 0.0814049243927002, ic_v 0.005748347844928503, bc_x0 0.0094236945733428, bc_x1 0.011896530166268349, int 0.3130893111228943\n",
            "ep 74300, total 0.4211650788784027, ic 0.08136995881795883, ic_v 0.005734202452003956, bc_x0 0.009380601346492767, bc_x1 0.011861514300107956, int 0.3127782940864563\n",
            "ep 74400, total 0.4214453399181366, ic 0.0812247097492218, ic_v 0.005729935597628355, bc_x0 0.009487245231866837, bc_x1 0.0118705527856946, int 0.3130923807621002\n",
            "ep 74500, total 0.42048701643943787, ic 0.08136703073978424, ic_v 0.005723170470446348, bc_x0 0.009381191805005074, bc_x1 0.011813381686806679, int 0.31216174364089966\n",
            "ep 74600, total 0.4200492203235626, ic 0.08116031438112259, ic_v 0.0057252696715295315, bc_x0 0.009346125647425652, bc_x1 0.011818263679742813, int 0.3119587302207947\n",
            "ep 74700, total 0.4224492013454437, ic 0.08186883479356766, ic_v 0.005851982161402702, bc_x0 0.01014690101146698, bc_x1 0.011696320958435535, int 0.3128446340560913\n",
            "ep 74800, total 0.4288264513015747, ic 0.08252870291471481, ic_v 0.005535493604838848, bc_x0 0.014534221030771732, bc_x1 0.013371520675718784, int 0.31281596422195435\n",
            "ep 74900, total 0.41896525025367737, ic 0.08097131550312042, ic_v 0.005723331589251757, bc_x0 0.009324882179498672, bc_x1 0.011780261062085629, int 0.31112492084503174\n",
            "ep 75000, total 0.41886448860168457, ic 0.08086519688367844, ic_v 0.00573121989145875, bc_x0 0.009406430646777153, bc_x1 0.011771713383495808, int 0.3110494315624237\n",
            "ep 75100, total 0.4182405173778534, ic 0.08084335178136826, ic_v 0.005719035863876343, bc_x0 0.009307368658483028, bc_x1 0.011759758926928043, int 0.31057047843933105\n",
            "ep 75200, total 0.4180610179901123, ic 0.08086196333169937, ic_v 0.005685487762093544, bc_x0 0.009318581782281399, bc_x1 0.01181996800005436, int 0.3103344738483429\n",
            "ep 75300, total 0.4176120162010193, ic 0.08072320371866226, ic_v 0.005739028099924326, bc_x0 0.009358727373182774, bc_x1 0.01172641385346651, int 0.31002411246299744\n",
            "ep 75400, total 0.4171992540359497, ic 0.08073392510414124, ic_v 0.005715325474739075, bc_x0 0.009297637268900871, bc_x1 0.011730890721082687, int 0.3096809387207031\n",
            "ep 75500, total 0.41683757305145264, ic 0.08060698211193085, ic_v 0.005718591623008251, bc_x0 0.009283916093409061, bc_x1 0.011712378822267056, int 0.3094751536846161\n",
            "ep 75600, total 0.41655275225639343, ic 0.08070085197687149, ic_v 0.005686061456799507, bc_x0 0.009314642287790775, bc_x1 0.011730628088116646, int 0.30907997488975525\n"
          ]
        },
        {
          "ename": "KeyboardInterrupt",
          "evalue": "",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m/var/folders/6h/mmvp5df90fb3fsqtc5d9mxt40000gn/T/ipykernel_16018/2730528622.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;31m# change the learning rate after several epochs will achieve a better performance\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mopt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mAdam\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearning_rate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_input\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m80000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"c_var_100_1_10_1_t2_tanh\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/var/folders/6h/mmvp5df90fb3fsqtc5d9mxt40000gn/T/ipykernel_16018/3946241392.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(model, x, t, c, length, epochs)\u001b[0m\n\u001b[1;32m     58\u001b[0m             \u001b[0;31m# sum them up\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     59\u001b[0m             \u001b[0mloss_total\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mini_l\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mini_l2\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mint_l\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mbdy_x0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mbdy_x1\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mreg_loss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m         \u001b[0mgrads\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtape\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgradient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss_total\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainable_variables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     61\u001b[0m         \u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_gradients\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgrads\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainable_variables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;36m100\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/backprop.py\u001b[0m in \u001b[0;36mgradient\u001b[0;34m(self, target, sources, output_gradients, unconnected_gradients)\u001b[0m\n\u001b[1;32m   1072\u001b[0m                           for x in nest.flatten(output_gradients)]\n\u001b[1;32m   1073\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1074\u001b[0;31m     flat_grad = imperative_grad.imperative_grad(\n\u001b[0m\u001b[1;32m   1075\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_tape\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1076\u001b[0m         \u001b[0mflat_targets\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/imperative_grad.py\u001b[0m in \u001b[0;36mimperative_grad\u001b[0;34m(tape, target, sources, output_gradients, sources_raw, unconnected_gradients)\u001b[0m\n\u001b[1;32m     69\u001b[0m         \"Unknown value for unconnected_gradients: %r\" % unconnected_gradients)\n\u001b[1;32m     70\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m   return pywrap_tfe.TFE_Py_TapeGradient(\n\u001b[0m\u001b[1;32m     72\u001b[0m       \u001b[0mtape\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_tape\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0;31m# pylint: disable=protected-access\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m       \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m_backward_function_wrapper\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m   1300\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minput_index\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mbackward_function_inputs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1301\u001b[0m           \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1302\u001b[0;31m       return backward._call_flat(  # pylint: disable=protected-access\n\u001b[0m\u001b[1;32m   1303\u001b[0m           processed_args, remapped_captures)\n\u001b[1;32m   1304\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36m_call_flat\u001b[0;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[1;32m   1958\u001b[0m         and executing_eagerly):\n\u001b[1;32m   1959\u001b[0m       \u001b[0;31m# No tape is watching; skip to running the function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1960\u001b[0;31m       return self._build_call_outputs(self._inference_function.call(\n\u001b[0m\u001b[1;32m   1961\u001b[0m           ctx, args, cancellation_manager=cancellation_manager))\n\u001b[1;32m   1962\u001b[0m     forward_backward = self._select_forward_and_backward_functions(\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/function.py\u001b[0m in \u001b[0;36mcall\u001b[0;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[1;32m    589\u001b[0m       \u001b[0;32mwith\u001b[0m \u001b[0m_InterpolateFunctionError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    590\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcancellation_manager\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 591\u001b[0;31m           outputs = execute.execute(\n\u001b[0m\u001b[1;32m    592\u001b[0m               \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    593\u001b[0m               \u001b[0mnum_outputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_num_outputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m~/miniforge3/envs/tf/lib/python3.8/site-packages/tensorflow/python/eager/execute.py\u001b[0m in \u001b[0;36mquick_execute\u001b[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[1;32m     57\u001b[0m   \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m     \u001b[0mctx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mensure_initialized\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,\n\u001b[0m\u001b[1;32m     60\u001b[0m                                         inputs, attrs, num_outputs)\n\u001b[1;32m     61\u001b[0m   \u001b[0;32mexcept\u001b[0m \u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ],
      "source": [
        "# use cpu is much faster than gpu in this case\n",
        "with tf.device(\"cpu:0\"):\n",
        "    # change the learning rate after several epochs will achieve a better performance\n",
        "    opt = keras.optimizers.Adam(learning_rate=1e-4)\n",
        "    # the total loss should be at least lower than 1 for a reasonable accuracy\n",
        "    fit(model, x, t, c, len(x_input), epochs=50000)\n",
        "    \n",
        "model.save(\"c_var_100_1_10_1_t2_tanh\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Load the trained model\n",
        "So we don't have to train it every time"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "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(\"c_var_100_1_10_1_t2_tanh\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Generate plot for every time step"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 136,
      "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": [
        "wave_speed = 0.3\n",
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(0, 200, 1):\n",
        "    num = i\n",
        "    input_vec = tf.concat((x[num_p_row*num:num_p_row*(num+1)], t[num_p_row*num:num_p_row*(\n",
        "        num+1)], tf.constant([wave_speed for _ in range(num_p_row)], shape=(num_p_row, 1))), axis=1)\n",
        "    u = model(input_vec)\n",
        "    plt.title(f\"t = {t[num_p_row*num]}\")\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'cvar_gif/{i}.jpg')\n",
        "    plt.clf()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Generate a gif file from all plots"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 135,
      "metadata": {},
      "outputs": [],
      "source": [
        "gif_images = []\n",
        "for i in range(0, 200):\n",
        "    gif_images.append(imageio.imread(\"cvar_gif/\"+str(i)+\".jpg\"))\n",
        "imageio.mimsave(\"cvar_wave.gif\", gif_images, fps=10)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Also can check the 3D plot"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "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, 0.02)\n",
        "    t = np.arange(0, 1.5, 0.02)\n",
        "    zs = np.array([model(tf.constant([x_, t_, 1.5], shape=(1, 3)))\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, 35, -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"
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    "language_info": {
      "codemirror_mode": {
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      "file_extension": ".py",
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