{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "EwRw-f6ocdCR"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Init Plugin\n",
            "Init Graph Optimizer\n",
            "Init Kernel\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import imageio\n",
        "\n",
        "from time import time\n",
        "import os\n",
        "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n"
      ]
    },
    {
      "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": 12,
      "metadata": {
        "id": "u8T9p1Z1cdCV"
      },
      "outputs": [],
      "source": [
        "# @tf.function\n",
        "def init_fn(x, mu, sigma) -> np.array:\n",
        "    return 0.5*(tf.exp(-(x-mu)**2 / (2*sigma**2)) / (tf.sqrt(2*np.pi) * sigma))\n",
        "\n",
        "\n",
        "@tf.function\n",
        "def get_u_du_d2u(model, x_input):\n",
        "    \"\"\"make prediction and calculate derivatives\n",
        "    \"\"\"\n",
        "    with tf.GradientTape() as sec_tape:\n",
        "        sec_tape.watch(x_input)\n",
        "        with tf.GradientTape() as fst_tape:\n",
        "            fst_tape.watch(x_input)\n",
        "            u = model(x_input, training=True)\n",
        "        # get the 1st derivative\n",
        "        du_di = fst_tape.gradient(u, x_input)\n",
        "    # get the 2nd derivative\n",
        "    d2u_jac = sec_tape.batch_jacobian(\n",
        "        du_di, x_input, experimental_use_pfor=True)\n",
        "    return u, du_di, d2u_jac\n",
        "\n",
        "\n",
        "def fit(model, x_input, c, epochs):\n",
        "    lambda_ini = 1000\n",
        "    lambda_ini2 = 50\n",
        "    lambda_bc = 1000\n",
        "    lambda_int = 1\n",
        "    x0_bdy = np.arange(0, len(x_input), num_p_row)\n",
        "    x1_bdy = np.arange(num_p_row-1, len(x_input), num_p_row)\n",
        "    extract_2nd_der = np.arange(num_p_row**2)\n",
        "    for epoch in range(1, epochs+1):\n",
        "        with tf.GradientTape() as tape:\n",
        "            u, du_di, d2u_jac = get_u_du_d2u(model, x_input)\n",
        "            # extract the second derivatives from jacobian matrix\n",
        "            d2u_dx2, d2u_dt2 = zip(*[[d2u_jac[j][0][0], d2u_jac[j][1][1]]\n",
        "                                     for j in extract_2nd_der])\n",
        "            # remove all t=0 points, I think we don't need to\n",
        "            # compute integral loss for initial condition\n",
        "            d2u_dt2 = d2u_dt2[num_p_row:]\n",
        "            d2u_dx2 = d2u_dx2[num_p_row:]\n",
        "            ### compute the loss for initial condition u(x, 0)= ic\n",
        "            ini_l = tf.reduce_mean(tf.square(u[:num_p_row]-ic))*lambda_ini\n",
        "            # compute the loss for u_t(x, 0) = 0, use new lambda\n",
        "            ini_l2 = tf.reduce_mean(tf.square(du_di[:num_p_row, 1]))*lambda_ini2        \n",
        "            # # get all u for x=0\n",
        "            # bdy_x0 = tf.reduce_mean(tf.square([u[x_i] for x_i in x0_bdy]))\n",
        "            # # get all u for x=1\n",
        "            # bdy_x1 = tf.reduce_mean(tf.square([u[x_i] for x_i in x1_bdy]))\n",
        "            \n",
        "            # Reflection\n",
        "            # get all du/dx for x=0: u_x(0, t)= 0\n",
        "            bdy_x0 = tf.reduce_mean(tf.square([du_di[x_i, 0] for x_i in x0_bdy]))*lambda_bc\n",
        "            # get all du/dx for x=1: u_x(L, t)= 0\n",
        "            bdy_x1 = tf.reduce_mean(tf.square([du_di[x_i, 0] for x_i in x1_bdy]))*lambda_bc\n",
        "            \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",
        "            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 % 10 == 0:\n",
        "            print(f\"ep {epoch}, total {loss_total.numpy()}, ic {ini_l.numpy()}, ic_v {ini_l2.numpy()}, bc_x0 {bdy_x0.numpy()}, bc_x1 {bdy_x1.numpy()}, int {int_l.numpy()}\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cIAxvyIxcdCW",
        "outputId": "d884cbed-27cb-43f6-e212-94e9dc07d15e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "dx = 0.02\n",
        "dt = 0.02\n",
        "time_span = 4.\n",
        "x_end = 1.\n",
        "num_p_row = 51\n",
        "epoch = 10\n",
        "c = 0.95\n",
        "\n",
        "x_input = tf.constant([np.asarray([x, t]) for t in np.arange(0, time_span+dt, dt)\n",
        "                      for x in np.arange(0, x_end+dx, dx)], dtype='float32')\n",
        "# t=0 for all x\n",
        "# print(x_input[:num_p_row])\n",
        "\n",
        "ic = tf.constant(init_fn(x_input[:num_p_row, 0],\n",
        "                 0.5, 0.05), shape=(num_p_row, 1))\n",
        "plt.plot(x_input[:num_p_row, 0], ic)\n",
        "model = get_model(2, 1, 20, 8, act_func='sin')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "# x_input[0:num_p_row] # initial\n",
        "# [x_input[x_i] for x_i in np.arange(0,len(x_input),num_p_row)] # x=0\n",
        "# [x_input[t_i] for t_i in np.arange(num_p_row-1,len(x_input),num_p_row)]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "ep 10, total 4324.3759765625, ic 35.680877685546875, ic_v 67.05037689208984, bc_x0 420.9168701171875, bc_x1 1969.70068359375, int 1831.027099609375\n",
            "ep 20, total 1600.7734375, ic 90.15348815917969, ic_v 46.46403503417969, bc_x0 505.0039978027344, bc_x1 243.59193420410156, int 715.5599365234375\n",
            "ep 30, total 1010.9138793945312, ic 97.21233367919922, ic_v 17.952852249145508, bc_x0 200.3022918701172, bc_x1 92.3730697631836, int 603.0733032226562\n",
            "ep 40, total 640.5623168945312, ic 103.80110168457031, ic_v 9.536368370056152, bc_x0 109.14983367919922, bc_x1 75.40839385986328, int 342.6665954589844\n",
            "ep 50, total 397.3865661621094, ic 82.53812408447266, ic_v 5.406364440917969, bc_x0 16.048072814941406, bc_x1 13.96423625946045, int 279.4297180175781\n",
            "ep 60, total 304.78271484375, ic 100.34567260742188, ic_v 3.7071590423583984, bc_x0 9.535453796386719, bc_x1 19.21295928955078, int 171.98141479492188\n",
            "ep 70, total 248.4782257080078, ic 92.64678192138672, ic_v 2.0871541500091553, bc_x0 6.838682174682617, bc_x1 10.443803787231445, int 136.4617462158203\n",
            "ep 80, total 209.3030548095703, ic 79.17644500732422, ic_v 1.4875624179840088, bc_x0 4.3807501792907715, bc_x1 4.367679119110107, int 119.89054870605469\n",
            "ep 90, total 183.02639770507812, ic 72.6355209350586, ic_v 1.3035260438919067, bc_x0 3.2814273834228516, bc_x1 2.983924627304077, int 102.82193756103516\n",
            "ep 100, total 163.6835479736328, ic 69.96875762939453, ic_v 1.1604115962982178, bc_x0 2.4679346084594727, bc_x1 2.4867632389068604, int 87.599609375\n",
            "ep 110, total 148.68426513671875, ic 66.91832733154297, ic_v 1.0387903451919556, bc_x0 1.7835835218429565, bc_x1 1.882857322692871, int 77.0606460571289\n",
            "ep 120, total 136.84597778320312, ic 64.42715454101562, ic_v 0.9278997778892517, bc_x0 1.4776036739349365, bc_x1 1.6228431463241577, int 68.39041137695312\n",
            "ep 130, total 127.20890045166016, ic 62.549747467041016, ic_v 0.787942111492157, bc_x0 1.248757243156433, bc_x1 1.4382154941558838, int 61.18417739868164\n",
            "ep 140, total 119.22117614746094, ic 61.133331298828125, ic_v 0.655738115310669, bc_x0 1.0217437744140625, bc_x1 1.2935314178466797, int 55.11677169799805\n",
            "ep 150, total 112.55424499511719, ic 59.99696731567383, ic_v 0.5405246019363403, bc_x0 0.8935791254043579, bc_x1 1.1318726539611816, int 49.99124526977539\n",
            "ep 160, total 106.94216918945312, ic 58.812503814697266, ic_v 0.4476369023323059, bc_x0 0.7746784687042236, bc_x1 1.0385191440582275, int 45.8687629699707\n",
            "ep 170, total 102.18415069580078, ic 57.76731872558594, ic_v 0.37440061569213867, bc_x0 0.6885084509849548, bc_x1 0.9298449754714966, int 42.424015045166016\n",
            "ep 180, total 98.1288070678711, ic 56.78915023803711, ic_v 0.3157573640346527, bc_x0 0.6210787892341614, bc_x1 0.8515585064888, int 39.55120849609375\n",
            "ep 190, total 94.6509780883789, ic 55.8482666015625, ic_v 0.27085378766059875, bc_x0 0.5636311769485474, bc_x1 0.7791637182235718, int 37.189002990722656\n",
            "ep 200, total 91.6524429321289, ic 54.96632766723633, ic_v 0.2365582436323166, bc_x0 0.5140548944473267, bc_x1 0.7202082872390747, int 35.215240478515625\n",
            "ep 210, total 89.04966735839844, ic 54.112762451171875, ic_v 0.21000003814697266, bc_x0 0.47030529379844666, bc_x1 0.6723539233207703, int 33.58418273925781\n",
            "ep 220, total 86.77433776855469, ic 53.29326248168945, ic_v 0.1899450570344925, bc_x0 0.43191033601760864, bc_x1 0.632508397102356, int 32.226654052734375\n",
            "ep 230, total 84.77027130126953, ic 52.50908279418945, ic_v 0.17444126307964325, bc_x0 0.3975418508052826, bc_x1 0.6002456545829773, int 31.088899612426758\n",
            "ep 240, total 82.98921966552734, ic 51.75418472290039, ic_v 0.162564218044281, bc_x0 0.3672540485858917, bc_x1 0.5740700364112854, int 30.131078720092773\n",
            "ep 250, total 81.3929214477539, ic 51.02637481689453, ic_v 0.1530061513185501, bc_x0 0.34004083275794983, bc_x1 0.5529767870903015, int 29.320459365844727\n",
            "ep 260, total 79.95032501220703, ic 50.32817840576172, ic_v 0.14522713422775269, bc_x0 0.31605973839759827, bc_x1 0.5358166098594666, int 28.624975204467773\n",
            "ep 270, total 78.63306427001953, ic 49.6544303894043, ic_v 0.13868090510368347, bc_x0 0.2947391867637634, bc_x1 0.5217865705490112, int 28.023366928100586\n",
            "ep 280, total 77.42169189453125, ic 49.00672149658203, ic_v 0.1330869197845459, bc_x0 0.2761079967021942, bc_x1 0.5102348923683167, int 27.4954776763916\n",
            "ep 290, total 76.29842376708984, ic 48.38164520263672, ic_v 0.12818723917007446, bc_x0 0.2597052752971649, bc_x1 0.5005277991294861, int 27.02829360961914\n",
            "ep 300, total 75.2499008178711, ic 47.77991485595703, ic_v 0.12396606802940369, bc_x0 0.24543528258800507, bc_x1 0.49243953824043274, int 26.60807991027832\n",
            "ep 310, total 74.26441955566406, ic 47.198001861572266, ic_v 0.1201852485537529, bc_x0 0.23301652073860168, bc_x1 0.4857873320579529, int 26.227367401123047\n",
            "ep 320, total 73.33282470703125, ic 46.63576126098633, ic_v 0.11698251962661743, bc_x0 0.22225339710712433, bc_x1 0.48009762167930603, int 25.87767219543457\n",
            "ep 330, total 72.44966125488281, ic 46.092506408691406, ic_v 0.11422359198331833, bc_x0 0.21315041184425354, bc_x1 0.47582563757896423, int 25.553897857666016\n",
            "ep 340, total 71.6069107055664, ic 45.56589889526367, ic_v 0.11191247403621674, bc_x0 0.20538026094436646, bc_x1 0.4724341630935669, int 25.251216888427734\n",
            "ep 350, total 70.80119323730469, ic 45.05590057373047, ic_v 0.11000712215900421, bc_x0 0.1987546682357788, bc_x1 0.46984174847602844, int 24.966629028320312\n",
            "ep 360, total 70.02909851074219, ic 44.56167221069336, ic_v 0.1085255965590477, bc_x0 0.19319316744804382, bc_x1 0.46818310022354126, int 24.697467803955078\n",
            "ep 370, total 69.28633117675781, ic 44.0814323425293, ic_v 0.10739525407552719, bc_x0 0.188638836145401, bc_x1 0.46751436591148376, int 24.441293716430664\n",
            "ep 380, total 68.57096099853516, ic 43.61530685424805, ic_v 0.10658177733421326, bc_x0 0.184940904378891, bc_x1 0.4672295153141022, int 24.196834564208984\n",
            "ep 390, total 67.87975311279297, ic 43.16162872314453, ic_v 0.10604765266180038, bc_x0 0.18186023831367493, bc_x1 0.46790701150894165, int 23.96224021911621\n",
            "ep 400, total 67.2110824584961, ic 42.7196159362793, ic_v 0.10580331087112427, bc_x0 0.17968188226222992, bc_x1 0.4689275920391083, int 23.73699378967285\n",
            "ep 410, total 66.56407165527344, ic 42.2899169921875, ic_v 0.10572907328605652, bc_x0 0.17781227827072144, bc_x1 0.4708704352378845, int 23.519685745239258\n",
            "ep 420, total 65.93579864501953, ic 41.870059967041016, ic_v 0.10592511296272278, bc_x0 0.1765308827161789, bc_x1 0.4729376435279846, int 23.310285568237305\n",
            "ep 430, total 65.32623291015625, ic 41.46110153198242, ic_v 0.10620027035474777, bc_x0 0.17556995153427124, bc_x1 0.47557908296585083, int 23.107723236083984\n",
            "ep 440, total 64.73368835449219, ic 41.061607360839844, ic_v 0.10663991421461105, bc_x0 0.17510360479354858, bc_x1 0.47867172956466675, int 22.911609649658203\n",
            "ep 450, total 64.15652465820312, ic 40.670875549316406, ic_v 0.10719897598028183, bc_x0 0.17480219900608063, bc_x1 0.4817579388618469, int 22.72182846069336\n",
            "ep 460, total 63.59465026855469, ic 40.2883415222168, ic_v 0.10780934244394302, bc_x0 0.17480863630771637, bc_x1 0.48534369468688965, int 22.538284301757812\n",
            "ep 470, total 63.04667663574219, ic 39.913639068603516, ic_v 0.10850727558135986, bc_x0 0.17499184608459473, bc_x1 0.48906251788139343, int 22.36041259765625\n",
            "ep 480, total 62.51207733154297, ic 39.54697799682617, ic_v 0.1092831939458847, bc_x0 0.17531432211399078, bc_x1 0.4928099811077118, int 22.18762969970703\n",
            "ep 490, total 61.99079132080078, ic 39.18734359741211, ic_v 0.11010801792144775, bc_x0 0.1758863925933838, bc_x1 0.49672093987464905, int 22.020673751831055\n",
            "ep 500, total 61.48088455200195, ic 38.83393096923828, ic_v 0.11096324026584625, bc_x0 0.17645607888698578, bc_x1 0.5006776452064514, int 21.858795166015625\n",
            "ep 510, total 60.98258972167969, ic 38.48716735839844, ic_v 0.11187080293893814, bc_x0 0.17719870805740356, bc_x1 0.504783570766449, int 21.701509475708008\n",
            "ep 520, total 60.496456146240234, ic 38.146583557128906, ic_v 0.11273715645074844, bc_x0 0.17795461416244507, bc_x1 0.5087642073631287, int 21.55035972595215\n",
            "ep 530, total 60.02015686035156, ic 37.811519622802734, ic_v 0.1136721819639206, bc_x0 0.17870929837226868, bc_x1 0.5127991437911987, int 21.403396606445312\n",
            "ep 540, total 59.55492401123047, ic 37.48215103149414, ic_v 0.11465158313512802, bc_x0 0.17959092557430267, bc_x1 0.5170779824256897, int 21.26139259338379\n",
            "ep 550, total 59.09929656982422, ic 37.1583251953125, ic_v 0.11562886834144592, bc_x0 0.18047907948493958, bc_x1 0.5211236476898193, int 21.123680114746094\n",
            "ep 560, total 58.653358459472656, ic 36.83891677856445, ic_v 0.11662019789218903, bc_x0 0.1813567876815796, bc_x1 0.5249955058097839, int 20.991411209106445\n",
            "ep 570, total 58.21700668334961, ic 36.52409744262695, ic_v 0.1176496371626854, bc_x0 0.18226119875907898, bc_x1 0.5290012955665588, int 20.863933563232422\n",
            "ep 580, total 57.789669036865234, ic 36.21439743041992, ic_v 0.11867756396532059, bc_x0 0.18324445188045502, bc_x1 0.5329697132110596, int 20.740320205688477\n",
            "ep 590, total 57.37133026123047, ic 35.90920639038086, ic_v 0.1197468638420105, bc_x0 0.18410825729370117, bc_x1 0.5366553068161011, int 20.621549606323242\n",
            "ep 600, total 56.961673736572266, ic 35.60770034790039, ic_v 0.12081319093704224, bc_x0 0.18516798317432404, bc_x1 0.5406805276870728, int 20.507251739501953\n",
            "ep 610, total 56.560203552246094, ic 35.310333251953125, ic_v 0.12192759662866592, bc_x0 0.18601956963539124, bc_x1 0.5442261099815369, int 20.397634506225586\n",
            "ep 620, total 56.16680145263672, ic 35.016902923583984, ic_v 0.12303653359413147, bc_x0 0.1870202124118805, bc_x1 0.5479357838630676, int 20.291845321655273\n",
            "ep 630, total 55.78200912475586, ic 34.727779388427734, ic_v 0.12417298555374146, bc_x0 0.18818865716457367, bc_x1 0.5514429211616516, int 20.190364837646484\n",
            "ep 640, total 55.40428161621094, ic 34.44209671020508, ic_v 0.1253499835729599, bc_x0 0.1891447752714157, bc_x1 0.5549525022506714, int 20.09267807006836\n",
            "ep 650, total 55.03458786010742, ic 34.159942626953125, ic_v 0.12656047940254211, bc_x0 0.1902484893798828, bc_x1 0.5583765506744385, int 19.99940299987793\n",
            "ep 660, total 54.67226791381836, ic 33.880882263183594, ic_v 0.12774311006069183, bc_x0 0.191150963306427, bc_x1 0.5619440078735352, int 19.91048812866211\n",
            "ep 670, total 54.31724548339844, ic 33.60509490966797, ic_v 0.12899553775787354, bc_x0 0.19256234169006348, bc_x1 0.5652968883514404, int 19.82523536682129\n",
            "ep 680, total 53.969173431396484, ic 33.33281326293945, ic_v 0.13021621108055115, bc_x0 0.19385285675525665, bc_x1 0.5688034296035767, int 19.743432998657227\n",
            "ep 690, total 53.63496017456055, ic 33.062252044677734, ic_v 0.13154056668281555, bc_x0 0.19833891093730927, bc_x1 0.5765154361724854, int 19.666250228881836\n",
            "ep 700, total 58.11587905883789, ic 32.75128173828125, ic_v 0.13626053929328918, bc_x0 1.5817959308624268, bc_x1 3.9980053901672363, int 19.648473739624023\n",
            "ep 710, total 180.42591857910156, ic 32.41585922241211, ic_v 0.37170350551605225, bc_x0 38.78520584106445, bc_x1 75.86972045898438, int 32.983375549316406\n",
            "ep 720, total 164.45999145507812, ic 34.822608947753906, ic_v 0.8593534231185913, bc_x0 52.57442855834961, bc_x1 45.73348617553711, int 30.47004508972168\n",
            "ep 730, total 65.622314453125, ic 36.095340728759766, ic_v 0.24220049381256104, bc_x0 1.5403355360031128, bc_x1 1.3820747137069702, int 26.3623046875\n",
            "ep 740, total 69.21492767333984, ic 35.53438186645508, ic_v 0.22676648199558258, bc_x0 5.185439586639404, bc_x1 3.860109567642212, int 24.408170700073242\n",
            "ep 750, total 62.94786834716797, ic 35.47342300415039, ic_v 0.1797633171081543, bc_x0 2.66723370552063, bc_x1 2.1804473400115967, int 22.446941375732422\n",
            "ep 760, total 57.62411117553711, ic 35.531280517578125, ic_v 0.1438586413860321, bc_x0 0.221676304936409, bc_x1 0.7001863121986389, int 21.02704429626465\n",
            "ep 770, total 57.41886520385742, ic 35.07377243041992, ic_v 0.133152574300766, bc_x0 0.42558857798576355, bc_x1 1.2719048261642456, int 20.51439094543457\n",
            "ep 780, total 55.67163848876953, ic 34.80952072143555, ic_v 0.12291894853115082, bc_x0 0.18558475375175476, bc_x1 0.512833833694458, int 20.040719985961914\n",
            "ep 790, total 55.073394775390625, ic 34.45634078979492, ic_v 0.12655174732208252, bc_x0 0.18997976183891296, bc_x1 0.5183861255645752, int 19.782072067260742\n",
            "ep 800, total 54.54704666137695, ic 34.062808990478516, ic_v 0.1281425505876541, bc_x0 0.17910094559192657, bc_x1 0.5213186144828796, int 19.655614852905273\n",
            "ep 810, total 54.09904479980469, ic 33.67705154418945, ic_v 0.1329049915075302, bc_x0 0.18636146187782288, bc_x1 0.5497785806655884, int 19.552886962890625\n",
            "ep 820, total 53.631649017333984, ic 33.32442092895508, ic_v 0.1361175775527954, bc_x0 0.17964136600494385, bc_x1 0.5352132320404053, int 19.456195831298828\n",
            "ep 830, total 53.21544647216797, ic 32.97483444213867, ic_v 0.13809680938720703, bc_x0 0.1831706464290619, bc_x1 0.5430474281311035, int 19.376237869262695\n",
            "ep 840, total 52.81880569458008, ic 32.63846969604492, ic_v 0.13921330869197845, bc_x0 0.1818287968635559, bc_x1 0.5521462559700012, int 19.307086944580078\n",
            "ep 850, total 52.6602668762207, ic 32.32386779785156, ic_v 0.14050135016441345, bc_x0 0.24569541215896606, bc_x1 0.7109644412994385, int 19.239171981811523\n",
            "ep 860, total 187.43585205078125, ic 32.48539733886719, ic_v 0.20026084780693054, bc_x0 42.19601821899414, bc_x1 92.68270111083984, int 19.87141990661621\n",
            "ep 870, total 99.1798324584961, ic 34.652347564697266, ic_v 0.7779818773269653, bc_x0 17.09743309020996, bc_x1 19.193532943725586, int 27.458477020263672\n",
            "ep 880, total 92.70326232910156, ic 33.78632736206055, ic_v 0.42606931924819946, bc_x0 15.781037330627441, bc_x1 14.947486877441406, int 27.762279510498047\n",
            "ep 890, total 72.2266845703125, ic 34.777225494384766, ic_v 0.2134796679019928, bc_x0 3.8438687324523926, bc_x1 9.071378707885742, int 24.320674896240234\n",
            "ep 900, total 67.96466064453125, ic 34.45866775512695, ic_v 0.2078986018896103, bc_x0 5.987569808959961, bc_x1 4.603953838348389, int 22.706514358520508\n",
            "ep 910, total 59.104454040527344, ic 34.6058235168457, ic_v 0.16029785573482513, bc_x0 0.9614066481590271, bc_x1 2.5314056873321533, int 20.845458984375\n",
            "ep 920, total 56.815425872802734, ic 34.15403366088867, ic_v 0.14206291735172272, bc_x0 0.6407304406166077, bc_x1 1.648557186126709, int 20.229982376098633\n",
            "ep 930, total 54.82732391357422, ic 33.92346954345703, ic_v 0.13662658631801605, bc_x0 0.330196738243103, bc_x1 0.782956063747406, int 19.65401268005371\n",
            "ep 940, total 54.079185485839844, ic 33.50837326049805, ic_v 0.13462375104427338, bc_x0 0.3245652914047241, bc_x1 0.6836752891540527, int 19.427886962890625\n",
            "ep 950, total 53.24827194213867, ic 33.087337493896484, ic_v 0.1364671140909195, bc_x0 0.1868850439786911, bc_x1 0.5257140398025513, int 19.311805725097656\n",
            "ep 960, total 52.7887077331543, ic 32.69609832763672, ic_v 0.14073345065116882, bc_x0 0.19131363928318024, bc_x1 0.559589147567749, int 19.200912475585938\n",
            "ep 970, total 52.296165466308594, ic 32.312416076660156, ic_v 0.14472191035747528, bc_x0 0.18106110394001007, bc_x1 0.5424959659576416, int 19.11540985107422\n",
            "ep 980, total 52.014163970947266, ic 31.945955276489258, ic_v 0.14673811197280884, bc_x0 0.23779849708080292, bc_x1 0.6422303318977356, int 19.0413818359375\n",
            "ep 990, total 68.42678833007812, ic 31.54046058654785, ic_v 0.1589329093694687, bc_x0 5.685487747192383, bc_x1 11.917548179626465, int 19.124298095703125\n",
            "ep 1000, total 65.88087463378906, ic 31.36969757080078, ic_v 0.3223854601383209, bc_x0 2.80014705657959, bc_x1 3.097256898880005, int 28.29132652282715\n",
            "ep 1010, total 159.8921661376953, ic 32.918212890625, ic_v 0.617918074131012, bc_x0 48.15553283691406, bc_x1 51.562705993652344, int 26.637733459472656\n",
            "ep 1020, total 68.05130004882812, ic 33.8222770690918, ic_v 0.1930353045463562, bc_x0 3.8589861392974854, bc_x1 6.776943683624268, int 23.399993896484375\n",
            "ep 1030, total 62.3473014831543, ic 33.466434478759766, ic_v 0.176621675491333, bc_x0 2.1585464477539062, bc_x1 4.6075568199157715, int 21.938085556030273\n",
            "ep 1040, total 55.45431900024414, ic 33.56077575683594, ic_v 0.16213476657867432, bc_x0 0.5422398447990417, bc_x1 0.8509671688079834, int 20.338136672973633\n",
            "ep 1050, total 54.35599136352539, ic 33.212867736816406, ic_v 0.14519533514976501, bc_x0 0.34863656759262085, bc_x1 0.9464581608772278, int 19.70277214050293\n",
            "ep 1060, total 53.0662841796875, ic 32.95914840698242, ic_v 0.1428970992565155, bc_x0 0.20503531396389008, bc_x1 0.5325562953948975, int 19.226585388183594\n",
            "ep 1070, total 52.79261016845703, ic 32.487667083740234, ic_v 0.14038844406604767, bc_x0 0.2930150032043457, bc_x1 0.7755244970321655, int 19.09595489501953\n",
            "ep 1080, total 52.11709213256836, ic 32.094886779785156, ic_v 0.1417439728975296, bc_x0 0.22936342656612396, bc_x1 0.6809508800506592, int 18.970088958740234\n",
            "ep 1090, total 51.436492919921875, ic 31.695674896240234, ic_v 0.1478062868118286, bc_x0 0.17703188955783844, bc_x1 0.5436139702796936, int 18.872304916381836\n",
            "ep 1100, total 51.466461181640625, ic 31.30857276916504, ic_v 0.15178947150707245, bc_x0 0.35853925347328186, bc_x1 0.8455832600593567, int 18.80191421508789\n",
            "ep 1110, total 215.2259521484375, ic 30.95563507080078, ic_v 0.2218855321407318, bc_x0 53.07527160644531, bc_x1 111.09394073486328, int 19.879167556762695\n",
            "ep 1120, total 100.00713348388672, ic 33.29051971435547, ic_v 0.5126726627349854, bc_x0 18.179014205932617, bc_x1 20.464492797851562, int 27.560373306274414\n",
            "ep 1130, total 115.61212921142578, ic 33.31576919555664, ic_v 0.7544107437133789, bc_x0 23.652223587036133, bc_x1 31.140792846679688, int 26.748872756958008\n",
            "ep 1140, total 85.62747192382812, ic 33.7439079284668, ic_v 0.22430838644504547, bc_x0 15.487067222595215, bc_x1 12.645183563232422, int 23.52694320678711\n",
            "ep 1150, total 59.591278076171875, ic 33.71329116821289, ic_v 0.1886121779680252, bc_x0 2.1905362606048584, bc_x1 2.121244192123413, int 21.377532958984375\n",
            "ep 1160, total 58.16972732543945, ic 33.627445220947266, ic_v 0.1508646458387375, bc_x0 2.2083351612091064, bc_x1 2.2137985229492188, int 19.969223022460938\n",
            "ep 1170, total 54.375144958496094, ic 33.003562927246094, ic_v 0.15039977431297302, bc_x0 0.5278311967849731, bc_x1 1.1494736671447754, int 19.5438175201416\n",
            "ep 1180, total 53.29021072387695, ic 32.61960983276367, ic_v 0.13975229859352112, bc_x0 0.47549474239349365, bc_x1 0.8814492225646973, int 19.173843383789062\n",
            "ep 1190, total 52.018192291259766, ic 32.20857620239258, ic_v 0.1416134536266327, bc_x0 0.18843285739421844, bc_x1 0.5353409051895142, int 18.94416618347168\n",
            "ep 1200, total 51.52065658569336, ic 31.7979793548584, ic_v 0.14601394534111023, bc_x0 0.19439297914505005, bc_x1 0.5899974703788757, int 18.79221534729004\n",
            "ep 1210, total 50.93663024902344, ic 31.364717483520508, ic_v 0.15062788128852844, bc_x0 0.17443117499351501, bc_x1 0.5428228378295898, int 18.70397186279297\n",
            "ep 1220, total 50.703086853027344, ic 30.9649600982666, ic_v 0.15292982757091522, bc_x0 0.2691331207752228, bc_x1 0.6935559511184692, int 18.6224422454834\n",
            "ep 1230, total 91.92654418945312, ic 30.50776481628418, ic_v 0.18026193976402283, bc_x0 13.721024513244629, bc_x1 28.621673583984375, int 18.8957576751709\n",
            "ep 1240, total 267.10076904296875, ic 31.69255256652832, ic_v 0.5295854210853577, bc_x0 69.36834716796875, bc_x1 136.603515625, int 28.90669059753418\n",
            "ep 1250, total 62.52762222290039, ic 32.278076171875, ic_v 0.41819173097610474, bc_x0 1.5803828239440918, bc_x1 1.5464142560958862, int 26.704500198364258\n",
            "ep 1260, total 75.27836608886719, ic 33.4984016418457, ic_v 0.24884334206581116, bc_x0 9.401910781860352, bc_x1 8.964370727539062, int 23.164779663085938\n",
            "ep 1270, total 65.85564422607422, ic 33.168670654296875, ic_v 0.20550134778022766, bc_x0 4.930918216705322, bc_x1 6.078371524810791, int 21.472122192382812\n",
            "ep 1280, total 56.634769439697266, ic 33.138057708740234, ic_v 0.16146394610404968, bc_x0 1.486047625541687, bc_x1 2.0102884769439697, int 19.838851928710938\n",
            "ep 1290, total 53.42797088623047, ic 32.54895782470703, ic_v 0.14883506298065186, bc_x0 0.45459964871406555, bc_x1 0.9647833108901978, int 19.310733795166016\n",
            "ep 1300, total 52.72072219848633, ic 32.174957275390625, ic_v 0.14016029238700867, bc_x0 0.4654078185558319, bc_x1 1.0086020231246948, int 18.931535720825195\n",
            "ep 1310, total 51.288394927978516, ic 31.73149299621582, ic_v 0.14252936840057373, bc_x0 0.17709682881832123, bc_x1 0.5278788805007935, int 18.709335327148438\n",
            "ep 1320, total 50.73490905761719, ic 31.287857055664062, ic_v 0.14805886149406433, bc_x0 0.1802903562784195, bc_x1 0.5451817512512207, int 18.57345962524414\n",
            "ep 1330, total 50.3550910949707, ic 30.849105834960938, ic_v 0.1525777280330658, bc_x0 0.23516049981117249, bc_x1 0.6366058588027954, int 18.48158073425293\n",
            "ep 1340, total 51.16727828979492, ic 30.42972755432129, ic_v 0.15614840388298035, bc_x0 0.6661098599433899, bc_x1 1.4963669776916504, int 18.418861389160156\n",
            "ep 1350, total 413.75775146484375, ic 30.261978149414062, ic_v 0.28654158115386963, bc_x0 113.15821075439453, bc_x1 248.9362335205078, int 21.114713668823242\n",
            "ep 1360, total 114.52989959716797, ic 32.73984146118164, ic_v 0.6398086547851562, bc_x0 14.486403465270996, bc_x1 40.77838134765625, int 25.885404586791992\n",
            "ep 1370, total 65.80497741699219, ic 32.881961822509766, ic_v 0.26222068071365356, bc_x0 5.988077163696289, bc_x1 2.3541901111602783, int 24.318466186523438\n",
            "ep 1380, total 75.84325408935547, ic 32.647071838378906, ic_v 0.22190578281879425, bc_x0 9.645973205566406, bc_x1 10.951576232910156, int 22.376665115356445\n",
            "ep 1390, total 54.129947662353516, ic 32.590484619140625, ic_v 0.19692373275756836, bc_x0 0.2614065110683441, bc_x1 0.7462973594665527, int 20.334775924682617\n",
            "ep 1400, total 53.797359466552734, ic 32.39939498901367, ic_v 0.1590934693813324, bc_x0 1.0118279457092285, bc_x1 0.9436122179031372, int 19.283370971679688\n",
            "ep 1410, total 51.72941589355469, ic 32.02064895629883, ic_v 0.14580026268959045, bc_x0 0.20621439814567566, bc_x1 0.6030513644218445, int 18.753639221191406\n",
            "ep 1420, total 51.472984313964844, ic 31.532630920410156, ic_v 0.14111767709255219, bc_x0 0.3551160991191864, bc_x1 0.8976297378540039, int 18.546428680419922\n",
            "ep 1430, total 50.43199157714844, ic 31.03311538696289, ic_v 0.14648662507534027, bc_x0 0.2355712503194809, bc_x1 0.5873507857322693, int 18.429407119750977\n",
            "ep 1440, total 50.010990142822266, ic 30.618053436279297, ic_v 0.150315061211586, bc_x0 0.24910803139209747, bc_x1 0.7057597637176514, int 18.287694931030273\n",
            "ep 1450, total 50.67681884765625, ic 30.210079193115234, ic_v 0.1529630571603775, bc_x0 0.6218453049659729, bc_x1 1.4950324296951294, int 18.196836471557617\n",
            "ep 1460, total 283.9163818359375, ic 30.542816162109375, ic_v 0.3367959260940552, bc_x0 74.18846893310547, bc_x1 159.4747314453125, int 19.37349510192871\n",
            "ep 1470, total 70.68079376220703, ic 32.5404167175293, ic_v 0.533018946647644, bc_x0 9.705697059631348, bc_x1 3.5998551845550537, int 24.301742553710938\n",
            "ep 1480, total 115.34944152832031, ic 31.67274284362793, ic_v 0.23439912497997284, bc_x0 39.29603576660156, bc_x1 19.331623077392578, int 24.814573287963867\n",
            "ep 1490, total 55.85953903198242, ic 32.21826934814453, ic_v 0.19977763295173645, bc_x0 1.2542176246643066, bc_x1 0.7114554047584534, int 21.475753784179688\n",
            "ep 1500, total 60.228851318359375, ic 32.0200080871582, ic_v 0.19702543318271637, bc_x0 2.791964292526245, bc_x1 5.2404279708862305, int 19.9793643951416\n",
            "ep 1510, total 54.7928352355957, ic 31.804271697998047, ic_v 0.1606484353542328, bc_x0 2.0709128379821777, bc_x1 1.779125452041626, int 18.97781753540039\n",
            "ep 1520, total 50.941741943359375, ic 31.444120407104492, ic_v 0.1455603837966919, bc_x0 0.25996893644332886, bc_x1 0.6338249444961548, int 18.458209991455078\n",
            "ep 1530, total 50.76100158691406, ic 30.932069778442383, ic_v 0.1416625827550888, bc_x0 0.4939839839935303, bc_x1 0.893169105052948, int 18.30005645751953\n",
            "ep 1540, total 49.82183074951172, ic 30.433122634887695, ic_v 0.14862458407878876, bc_x0 0.2917234003543854, bc_x1 0.7595205903053284, int 18.18877601623535\n",
            "ep 1550, total 49.494075775146484, ic 29.998645782470703, ic_v 0.15347042679786682, bc_x0 0.3727973401546478, bc_x1 0.9002244472503662, int 18.068876266479492\n",
            "ep 1560, total 83.78633117675781, ic 29.479501724243164, ic_v 0.17993485927581787, bc_x0 11.069585800170898, bc_x1 24.734832763671875, int 18.322416305541992\n",
            "ep 1570, total 111.81393432617188, ic 30.286285400390625, ic_v 0.45067036151885986, bc_x0 15.568083763122559, bc_x1 39.4742431640625, int 26.034589767456055\n",
            "ep 1580, total 132.12242126464844, ic 31.054349899291992, ic_v 0.3668019473552704, bc_x0 50.11466979980469, bc_x1 24.74331283569336, int 25.843217849731445\n",
            "ep 1590, total 64.48199462890625, ic 32.42298889160156, ic_v 0.22099274396896362, bc_x0 7.768205642700195, bc_x1 2.421706199645996, int 21.648038864135742\n",
            "ep 1600, total 62.946834564208984, ic 31.87704849243164, ic_v 0.19824965298175812, bc_x0 3.4025721549987793, bc_x1 7.1546430587768555, int 20.314260482788086\n",
            "ep 1610, total 54.04859161376953, ic 31.788557052612305, ic_v 0.1522708386182785, bc_x0 1.6128623485565186, bc_x1 1.5812608003616333, int 18.913578033447266\n",
            "ep 1620, total 52.417911529541016, ic 31.297664642333984, ic_v 0.14991572499275208, bc_x0 1.23922598361969, bc_x1 1.342815637588501, int 18.388229370117188\n",
            "ep 1630, total 49.81593704223633, ic 30.69840431213379, ic_v 0.14098554849624634, bc_x0 0.18829037249088287, bc_x1 0.5308157801628113, int 18.25737953186035\n",
            "ep 1640, total 49.17280197143555, ic 30.24820899963379, ic_v 0.1450127810239792, bc_x0 0.18577691912651062, bc_x1 0.5272016525268555, int 18.06654167175293\n",
            "ep 1650, total 49.25426483154297, ic 29.847021102905273, ic_v 0.14904846251010895, bc_x0 0.4161621928215027, bc_x1 0.949696958065033, int 17.89227867126465\n",
            "ep 1660, total 67.02622985839844, ic 29.547786712646484, ic_v 0.15902051329612732, bc_x0 5.940624237060547, bc_x1 13.556479454040527, int 17.822261810302734\n",
            "ep 1670, total 121.69454956054688, ic 29.298843383789062, ic_v 0.41763490438461304, bc_x0 22.549379348754883, bc_x1 43.694881439208984, int 25.733749389648438\n",
            "ep 1680, total 70.87179565429688, ic 30.68222999572754, ic_v 0.38632968068122864, bc_x0 3.407893419265747, bc_x1 12.04150390625, int 24.35377311706543\n",
            "ep 1690, total 81.8115234375, ic 32.021881103515625, ic_v 0.29488733410835266, bc_x0 21.7858943939209, bc_x1 6.610810279846191, int 21.097986221313477\n",
            "ep 1700, total 54.00807189941406, ic 31.259559631347656, ic_v 0.17942102253437042, bc_x0 0.25511452555656433, bc_x1 2.2995665073394775, int 20.014347076416016\n",
            "ep 1710, total 51.23647689819336, ic 31.261369705200195, ic_v 0.14860527217388153, bc_x0 0.5330480337142944, bc_x1 0.6731482744216919, int 18.620243072509766\n",
            "ep 1720, total 51.81934356689453, ic 30.772953033447266, ic_v 0.15097858011722565, bc_x0 1.4611361026763916, bc_x1 1.2956922054290771, int 18.13852310180664\n",
            "ep 1730, total 49.29119110107422, ic 30.229751586914062, ic_v 0.13892318308353424, bc_x0 0.22125060856342316, bc_x1 0.7349897623062134, int 17.96621322631836\n",
            "ep 1740, total 49.07665252685547, ic 29.731704711914062, ic_v 0.14571695029735565, bc_x0 0.40741223096847534, bc_x1 0.9527608156204224, int 17.838993072509766\n",
            "ep 1750, total 48.727806091308594, ic 29.303606033325195, ic_v 0.15172375738620758, bc_x0 0.47386983036994934, bc_x1 1.1010193824768066, int 17.697526931762695\n",
            "ep 1760, total 184.4107666015625, ic 28.741046905517578, ic_v 0.2325747162103653, bc_x0 39.50168991088867, bc_x1 97.16988372802734, int 18.765522003173828\n",
            "ep 1770, total 188.86636352539062, ic 31.03649139404297, ic_v 0.49953988194465637, bc_x0 69.1063232421875, bc_x1 61.02199172973633, int 27.20195198059082\n",
            "ep 1780, total 109.25304412841797, ic 32.078346252441406, ic_v 0.682036280632019, bc_x0 31.925052642822266, bc_x1 19.85326385498047, int 24.714279174804688\n",
            "ep 1790, total 56.2751579284668, ic 31.588796615600586, ic_v 0.22479069232940674, bc_x0 1.392651081085205, bc_x1 0.7214827537536621, int 22.347379684448242\n",
            "ep 1800, total 59.79585266113281, ic 31.753047943115234, ic_v 0.20850442349910736, bc_x0 2.779139518737793, bc_x1 5.364595413208008, int 19.69050407409668\n",
            "ep 1810, total 52.769683837890625, ic 31.30642318725586, ic_v 0.16029170155525208, bc_x0 0.6824570298194885, bc_x1 1.9278795719146729, int 18.692569732666016\n",
            "ep 1820, total 51.338226318359375, ic 30.87903594970703, ic_v 0.14153800904750824, bc_x0 1.325516700744629, bc_x1 0.8211642503738403, int 18.17091178894043\n",
            "ep 1830, total 49.13042068481445, ic 30.372915267944336, ic_v 0.13363343477249146, bc_x0 0.21042829751968384, bc_x1 0.5424330830574036, int 17.870946884155273\n",
            "ep 1840, total 48.511802673339844, ic 29.842166900634766, ic_v 0.14273078739643097, bc_x0 0.2410157024860382, bc_x1 0.5729236602783203, int 17.71290397644043\n",
            "ep 1850, total 47.90176773071289, ic 29.348169326782227, ic_v 0.14812694489955902, bc_x0 0.23020727932453156, bc_x1 0.5850977897644043, int 17.590105056762695\n",
            "ep 1860, total 47.670040130615234, ic 28.86609649658203, ic_v 0.15066450834274292, bc_x0 0.3050016760826111, bc_x1 0.829730749130249, int 17.518484115600586\n",
            "ep 1870, total 218.02841186523438, ic 28.294790267944336, ic_v 0.2438928484916687, bc_x0 45.691368103027344, bc_x1 124.92772674560547, int 18.87057113647461\n",
            "ep 1880, total 77.63056945800781, ic 31.201496124267578, ic_v 0.6026196479797363, bc_x0 13.372971534729004, bc_x1 1.6345466375350952, int 30.818876266479492\n",
            "ep 1890, total 80.1528549194336, ic 33.403770446777344, ic_v 0.590570867061615, bc_x0 11.316356658935547, bc_x1 7.668666362762451, int 27.17343521118164\n",
            "ep 1900, total 61.25347137451172, ic 32.884613037109375, ic_v 0.2730235755443573, bc_x0 3.1786298751831055, bc_x1 0.8396233320236206, int 24.07752227783203\n",
            "ep 1910, total 58.243350982666016, ic 32.25802993774414, ic_v 0.2624797224998474, bc_x0 2.1972739696502686, bc_x1 1.9658522605895996, int 21.55965805053711\n",
            "ep 1920, total 55.87076187133789, ic 32.387149810791016, ic_v 0.16317631304264069, bc_x0 0.43054845929145813, bc_x1 3.8441059589385986, int 19.045717239379883\n",
            "ep 1930, total 51.31869888305664, ic 31.7359676361084, ic_v 0.13793346285820007, bc_x0 0.3908572793006897, bc_x1 0.601839005947113, int 18.45203971862793\n",
            "ep 1940, total 50.1765251159668, ic 31.233478546142578, ic_v 0.12352776527404785, bc_x0 0.302394300699234, bc_x1 0.5744696855545044, int 17.942594528198242\n",
            "ep 1950, total 49.28549575805664, ic 30.523738861083984, ic_v 0.1340959668159485, bc_x0 0.22211351990699768, bc_x1 0.564358115196228, int 17.84112548828125\n",
            "ep 1960, total 48.49072265625, ic 29.951692581176758, ic_v 0.14068640768527985, bc_x0 0.19928805530071259, bc_x1 0.5149341821670532, int 17.68406105041504\n",
            "ep 1970, total 47.830780029296875, ic 29.44517707824707, ic_v 0.1426030695438385, bc_x0 0.16915322840213776, bc_x1 0.5379363298416138, int 17.535846710205078\n",
            "ep 1980, total 47.30247497558594, ic 28.973173141479492, ic_v 0.1449425220489502, bc_x0 0.19214314222335815, bc_x1 0.5765334963798523, int 17.41562271118164\n",
            "ep 1990, total 48.282588958740234, ic 28.51630210876465, ic_v 0.14769278466701508, bc_x0 0.6056650280952454, bc_x1 1.6714929342269897, int 17.34137535095215\n",
            "ep 2000, total 618.2666625976562, ic 28.52873420715332, ic_v 0.34849509596824646, bc_x0 152.267578125, bc_x1 414.80133056640625, int 22.320449829101562\n",
            "ep 2010, total 227.66856384277344, ic 31.872159957885742, ic_v 1.3560956716537476, bc_x0 78.9029312133789, bc_x1 86.80763244628906, int 28.72968101501465\n",
            "ep 2020, total 125.07691955566406, ic 31.56098747253418, ic_v 0.5806989669799805, bc_x0 56.41987991333008, bc_x1 8.692150115966797, int 27.823143005371094\n",
            "ep 2030, total 74.86258697509766, ic 32.485233306884766, ic_v 0.24024368822574615, bc_x0 16.487459182739258, bc_x1 3.46980881690979, int 22.179784774780273\n",
            "ep 2040, total 55.93128967285156, ic 31.983163833618164, ic_v 0.1978807896375656, bc_x0 2.1584272384643555, bc_x1 1.751348614692688, int 19.840404510498047\n",
            "ep 2050, total 53.21482849121094, ic 31.453277587890625, ic_v 0.15528567135334015, bc_x0 1.1593316793441772, bc_x1 1.8275432586669922, int 18.61932945251465\n",
            "ep 2060, total 50.28487014770508, ic 30.994489669799805, ic_v 0.12641984224319458, bc_x0 0.4845274090766907, bc_x1 0.6759828329086304, int 18.003387451171875\n",
            "ep 2070, total 49.3994026184082, ic 30.476736068725586, ic_v 0.12401441484689713, bc_x0 0.1992851048707962, bc_x1 0.9939666986465454, int 17.6053409576416\n",
            "ep 2080, total 48.12077713012695, ic 29.83399200439453, ic_v 0.13508296012878418, bc_x0 0.16237427294254303, bc_x1 0.5179077982902527, int 17.47136116027832\n",
            "ep 2090, total 47.480472564697266, ic 29.262958526611328, ic_v 0.1404305398464203, bc_x0 0.16797521710395813, bc_x1 0.5422233939170837, int 17.366819381713867\n",
            "ep 2100, total 46.903751373291016, ic 28.78738021850586, ic_v 0.142128586769104, bc_x0 0.17706449329853058, bc_x1 0.5716224312782288, int 17.225496292114258\n",
            "ep 2110, total 46.560569763183594, ic 28.328641891479492, ic_v 0.14422789216041565, bc_x0 0.2349487841129303, bc_x1 0.7261731028556824, int 17.126516342163086\n",
            "ep 2120, total 153.4932861328125, ic 27.735456466674805, ic_v 0.21100454032421112, bc_x0 27.97385025024414, bc_x1 79.59335327148438, int 17.97955322265625\n",
            "ep 2130, total 182.18353271484375, ic 30.50108528137207, ic_v 0.7392125129699707, bc_x0 72.49976348876953, bc_x1 45.90222930908203, int 32.54117202758789\n",
            "ep 2140, total 82.66929626464844, ic 33.28696823120117, ic_v 0.9933064579963684, bc_x0 18.17350196838379, bc_x1 1.8356512784957886, int 28.379812240600586\n",
            "ep 2150, total 64.45394134521484, ic 32.86008834838867, ic_v 0.2788184881210327, bc_x0 5.866420745849609, bc_x1 1.0482146739959717, int 24.400339126586914\n",
            "ep 2160, total 58.463985443115234, ic 32.19363784790039, ic_v 0.27388450503349304, bc_x0 3.9891889095306396, bc_x1 0.6064030528068542, int 21.40081214904785\n",
            "ep 2170, total 52.73646545410156, ic 32.037044525146484, ic_v 0.16640394926071167, bc_x0 0.4103972911834717, bc_x1 1.0687272548675537, int 19.0538330078125\n",
            "ep 2180, total 51.575653076171875, ic 31.58415412902832, ic_v 0.1373554766178131, bc_x0 0.6812112331390381, bc_x1 1.0836880207061768, int 18.08918571472168\n",
            "ep 2190, total 50.014556884765625, ic 30.87744140625, ic_v 0.11863207817077637, bc_x0 0.5158166885375977, bc_x1 0.7638339996337891, int 17.7387752532959\n",
            "ep 2200, total 48.67739486694336, ic 30.171308517456055, ic_v 0.12942802906036377, bc_x0 0.16482345759868622, bc_x1 0.6469864845275879, int 17.564788818359375\n",
            "ep 2210, total 47.80914306640625, ic 29.63944435119629, ic_v 0.13522303104400635, bc_x0 0.17117959260940552, bc_x1 0.5460723638534546, int 17.31715965270996\n",
            "ep 2220, total 47.093505859375, ic 29.098068237304688, ic_v 0.1371249109506607, bc_x0 0.17601779103279114, bc_x1 0.5135761499404907, int 17.168657302856445\n",
            "ep 2230, total 46.5248908996582, ic 28.608074188232422, ic_v 0.13916926085948944, bc_x0 0.17197512090206146, bc_x1 0.5662953853607178, int 17.039318084716797\n",
            "ep 2240, total 46.151039123535156, ic 28.178590774536133, ic_v 0.13919766247272491, bc_x0 0.21597473323345184, bc_x1 0.7092409133911133, int 16.907976150512695\n",
            "ep 2250, total 110.2408218383789, ic 28.143917083740234, ic_v 0.17643652856349945, bc_x0 16.986862182617188, bc_x1 48.02932357788086, int 16.904220581054688\n",
            "ep 2260, total 368.0740966796875, ic 31.531639099121094, ic_v 1.6011638641357422, bc_x0 113.12869262695312, bc_x1 192.4026336669922, int 29.409914016723633\n",
            "ep 2270, total 154.8037872314453, ic 30.96799659729004, ic_v 0.47913244366645813, bc_x0 74.2437973022461, bc_x1 18.12151527404785, int 30.991281509399414\n",
            "ep 2280, total 75.85118103027344, ic 32.69484329223633, ic_v 0.27350813150405884, bc_x0 16.71329689025879, bc_x1 2.517850160598755, int 23.65161895751953\n",
            "ep 2290, total 60.823944091796875, ic 32.09392547607422, ic_v 0.24297474324703217, bc_x0 2.9099020957946777, bc_x1 5.126434803009033, int 20.45064926147461\n",
            "ep 2300, total 54.1341552734375, ic 31.446578979492188, ic_v 0.1705043911933899, bc_x0 0.847021758556366, bc_x1 2.7102959156036377, int 18.95969009399414\n",
            "ep 2310, total 51.11014175415039, ic 31.17864227294922, ic_v 0.1354522854089737, bc_x0 1.1786634922027588, bc_x1 0.8827778100967407, int 17.73454475402832\n",
            "ep 2320, total 49.127540588378906, ic 30.364761352539062, ic_v 0.11798667162656784, bc_x0 0.28332576155662537, bc_x1 0.8312065601348877, int 17.53019905090332\n",
            "ep 2330, total 48.05275344848633, ic 29.73042869567871, ic_v 0.1287226527929306, bc_x0 0.20389802753925323, bc_x1 0.6975396275520325, int 17.29210090637207\n",
            "ep 2340, total 47.093666076660156, ic 29.196096420288086, ic_v 0.13446469604969025, bc_x0 0.16427601873874664, bc_x1 0.5378902554512024, int 17.060876846313477\n",
            "ep 2350, total 46.4195442199707, ic 28.651771545410156, ic_v 0.13653050363063812, bc_x0 0.18751150369644165, bc_x1 0.5185410976409912, int 16.925132751464844\n",
            "ep 2360, total 45.85496139526367, ic 28.170072555541992, ic_v 0.1383265107870102, bc_x0 0.17653430998325348, bc_x1 0.5715804100036621, int 16.79838752746582\n",
            "ep 2370, total 48.27701187133789, ic 27.791427612304688, ic_v 0.13826890289783478, bc_x0 0.9434818625450134, bc_x1 2.7555739879608154, int 16.6481990814209\n",
            "ep 2380, total 781.9874877929688, ic 28.895587921142578, ic_v 1.271560549736023, bc_x0 223.09323120117188, bc_x1 505.0471496582031, int 23.679914474487305\n",
            "ep 2390, total 86.90575408935547, ic 29.6992244720459, ic_v 0.9254454374313354, bc_x0 23.487226486206055, bc_x1 2.189127206802368, int 30.60466957092285\n",
            "ep 2400, total 69.24742889404297, ic 32.57494354248047, ic_v 0.27598249912261963, bc_x0 10.459992408752441, bc_x1 2.196791172027588, int 23.739654541015625\n",
            "ep 2410, total 56.547630310058594, ic 31.969104766845703, ic_v 0.2407287061214447, bc_x0 0.3134084939956665, bc_x1 2.784038543701172, int 21.24028778076172\n",
            "ep 2420, total 58.32419204711914, ic 31.263004302978516, ic_v 0.1712145209312439, bc_x0 0.8045501708984375, bc_x1 6.736430644989014, int 19.34893226623535\n",
            "ep 2430, total 50.24217987060547, ic 30.97283172607422, ic_v 0.14325156807899475, bc_x0 0.44719401001930237, bc_x1 0.9404348134994507, int 17.7384090423584\n",
            "ep 2440, total 48.742549896240234, ic 30.071182250976562, ic_v 0.11829046905040741, bc_x0 0.4735548198223114, bc_x1 0.48736727237701416, int 17.59209442138672\n",
            "ep 2450, total 47.53617477416992, ic 29.56153106689453, ic_v 0.12265683710575104, bc_x0 0.1780630201101303, bc_x1 0.5252355933189392, int 17.14862823486328\n",
            "ep 2460, total 46.867679595947266, ic 29.03665542602539, ic_v 0.1321912556886673, bc_x0 0.30389490723609924, bc_x1 0.5307683348655701, int 16.86410903930664\n",
            "ep 2470, total 46.11249542236328, ic 28.472970962524414, ic_v 0.13267852365970612, bc_x0 0.16977858543395996, bc_x1 0.5967805981636047, int 16.740230560302734\n",
            "ep 2480, total 45.42603302001953, ic 27.959938049316406, ic_v 0.13622212409973145, bc_x0 0.1706756055355072, bc_x1 0.5411038994789124, int 16.618030548095703\n",
            "ep 2490, total 45.112056732177734, ic 27.520877838134766, ic_v 0.13681623339653015, bc_x0 0.23013456165790558, bc_x1 0.7370527982711792, int 16.48711585998535\n",
            "ep 2500, total 226.76318359375, ic 27.82701873779297, ic_v 0.2709681987762451, bc_x0 49.397071838378906, bc_x1 132.26837158203125, int 16.99969482421875\n",
            "ep 2510, total 104.11347961425781, ic 32.21889877319336, ic_v 0.9166684746742249, bc_x0 1.672847032546997, bc_x1 35.60285186767578, int 33.702152252197266\n",
            "ep 2520, total 152.9686279296875, ic 34.26021194458008, ic_v 0.7967960834503174, bc_x0 68.70353698730469, bc_x1 19.370351791381836, int 29.837675094604492\n",
            "ep 2530, total 74.73628234863281, ic 32.42330551147461, ic_v 0.395258367061615, bc_x0 11.264447212219238, bc_x1 2.99741530418396, int 27.65579605102539\n",
            "ep 2540, total 61.66295623779297, ic 32.27419662475586, ic_v 0.3112924098968506, bc_x0 5.058239936828613, bc_x1 1.418993353843689, int 22.600173950195312\n",
            "ep 2550, total 53.70598220825195, ic 32.054874420166016, ic_v 0.1962086409330368, bc_x0 0.5003401041030884, bc_x1 1.3363194465637207, int 19.618179321289062\n",
            "ep 2560, total 52.11487579345703, ic 31.994949340820312, ic_v 0.12418544292449951, bc_x0 1.6682173013687134, bc_x1 0.5141066312789917, int 17.813358306884766\n",
            "ep 2570, total 49.6959228515625, ic 30.90621566772461, ic_v 0.10173645615577698, bc_x0 0.5257181525230408, bc_x1 0.502341091632843, int 17.65985107421875\n",
            "ep 2580, total 48.49339294433594, ic 30.310136795043945, ic_v 0.11529787629842758, bc_x0 0.15505018830299377, bc_x1 0.7441050410270691, int 17.168743133544922\n",
            "ep 2590, total 47.422733306884766, ic 29.55097770690918, ic_v 0.12411713600158691, bc_x0 0.2220274955034256, bc_x1 0.4793461859226227, int 17.046205520629883\n",
            "ep 2600, total 46.61149978637695, ic 29.012426376342773, ic_v 0.1252433806657791, bc_x0 0.19208192825317383, bc_x1 0.4977644383907318, int 16.783924102783203\n",
            "ep 2610, total 45.894012451171875, ic 28.465213775634766, ic_v 0.12822313606739044, bc_x0 0.16392922401428223, bc_x1 0.5018050074577332, int 16.634780883789062\n",
            "ep 2620, total 45.28362274169922, ic 27.967050552368164, ic_v 0.12933889031410217, bc_x0 0.17005808651447296, bc_x1 0.5180903673171997, int 16.4990234375\n",
            "ep 2630, total 44.72880554199219, ic 27.507516860961914, ic_v 0.13104423880577087, bc_x0 0.17906254529953003, bc_x1 0.5424556732177734, int 16.368663787841797\n",
            "ep 2640, total 52.93594741821289, ic 26.990310668945312, ic_v 0.14197969436645508, bc_x0 2.3899197578430176, bc_x1 7.025399684906006, int 16.38827896118164\n",
            "ep 2650, total 134.94091796875, ic 27.769779205322266, ic_v 0.5552524924278259, bc_x0 36.48784255981445, bc_x1 34.790016174316406, int 35.33797836303711\n",
            "ep 2660, total 103.43958282470703, ic 30.272804260253906, ic_v 0.7951067090034485, bc_x0 34.94335174560547, bc_x1 1.6546574831008911, int 35.77360153198242\n",
            "ep 2670, total 75.45162963867188, ic 32.691383361816406, ic_v 0.3896397352218628, bc_x0 12.645105361938477, bc_x1 2.4360949993133545, int 27.289344787597656\n",
            "ep 2680, total 70.20743560791016, ic 33.10512161254883, ic_v 0.2880026698112488, bc_x0 11.92784595489502, bc_x1 2.937006950378418, int 21.949398040771484\n",
            "ep 2690, total 59.850929260253906, ic 32.43344497680664, ic_v 0.1559034287929535, bc_x0 0.6188663244247437, bc_x1 7.49873161315918, int 19.1439208984375\n",
            "ep 2700, total 51.14684295654297, ic 31.49179458618164, ic_v 0.13736069202423096, bc_x0 0.3377000391483307, bc_x1 1.146866798400879, int 18.03306007385254\n",
            "ep 2710, total 49.65593719482422, ic 30.598806381225586, ic_v 0.10834191739559174, bc_x0 0.3689187169075012, bc_x1 0.9956434369087219, int 17.58416748046875\n",
            "ep 2720, total 48.00400161743164, ic 30.010478973388672, ic_v 0.11824250966310501, bc_x0 0.2874947786331177, bc_x1 0.5166131258010864, int 17.07111167907715\n",
            "ep 2730, total 47.03237533569336, ic 29.362239837646484, ic_v 0.12673982977867126, bc_x0 0.2057160586118698, bc_x1 0.5364617705345154, int 16.801158905029297\n",
            "ep 2740, total 46.1600227355957, ic 28.72566032409668, ic_v 0.126219242811203, bc_x0 0.15869447588920593, bc_x1 0.5058118104934692, int 16.643573760986328\n",
            "ep 2750, total 45.46634292602539, ic 28.21054458618164, ic_v 0.12888950109481812, bc_x0 0.1640535295009613, bc_x1 0.5231279134750366, int 16.439666748046875\n",
            "ep 2760, total 44.81434631347656, ic 27.717193603515625, ic_v 0.13020002841949463, bc_x0 0.1744685024023056, bc_x1 0.5015726685523987, int 16.29085350036621\n",
            "ep 2770, total 44.351749420166016, ic 27.247142791748047, ic_v 0.1320067048072815, bc_x0 0.21629008650779724, bc_x1 0.5872659683227539, int 16.168981552124023\n",
            "ep 2780, total 74.05714416503906, ic 26.69733238220215, ic_v 0.15740279853343964, bc_x0 8.809934616088867, bc_x1 22.034212112426758, int 16.358205795288086\n",
            "ep 2790, total 301.1822814941406, ic 28.5457820892334, ic_v 0.8920161724090576, bc_x0 75.40940856933594, bc_x1 164.40536499023438, int 31.929656982421875\n",
            "ep 2800, total 139.38943481445312, ic 31.792926788330078, ic_v 1.126285195350647, bc_x0 42.943817138671875, bc_x1 33.69198989868164, int 29.834354400634766\n",
            "ep 2810, total 106.70921325683594, ic 31.56683921813965, ic_v 0.44237175583839417, bc_x0 40.55701446533203, bc_x1 7.983737468719482, int 26.159194946289062\n",
            "ep 2820, total 67.67750549316406, ic 31.458311080932617, ic_v 0.28476518392562866, bc_x0 1.0999923944473267, bc_x1 13.44271469116211, int 21.391664505004883\n",
            "ep 2830, total 58.36248016357422, ic 31.344562530517578, ic_v 0.171686053276062, bc_x0 2.1392483711242676, bc_x1 6.119134902954102, int 18.58778953552246\n",
            "ep 2840, total 50.3968505859375, ic 30.907859802246094, ic_v 0.12719035148620605, bc_x0 1.1756360530853271, bc_x1 0.818565309047699, int 17.36754035949707\n",
            "ep 2850, total 49.2057991027832, ic 29.953474044799805, ic_v 0.1037687435746193, bc_x0 0.3691364526748657, bc_x1 1.617414951324463, int 17.161941528320312\n",
            "ep 2860, total 47.34508514404297, ic 29.3695011138916, ic_v 0.11840435862541199, bc_x0 0.43660426139831543, bc_x1 0.7077515125274658, int 16.7127628326416\n",
            "ep 2870, total 46.01068878173828, ic 28.745620727539062, ic_v 0.12407384067773819, bc_x0 0.18853892385959625, bc_x1 0.4758669435977936, int 16.47652816772461\n",
            "ep 2880, total 45.34716033935547, ic 28.139535903930664, ic_v 0.12501764297485352, bc_x0 0.23113027215003967, bc_x1 0.5250702500343323, int 16.32634735107422\n",
            "ep 2890, total 44.62210464477539, ic 27.609100341796875, ic_v 0.1291162222623825, bc_x0 0.17951726913452148, bc_x1 0.5302522778511047, int 16.17405891418457\n",
            "ep 2900, total 44.07079315185547, ic 27.14228057861328, ic_v 0.1296788901090622, bc_x0 0.21011793613433838, bc_x1 0.5640068650245667, int 16.024648666381836\n",
            "ep 2910, total 53.002681732177734, ic 26.619911193847656, ic_v 0.1410527229309082, bc_x0 2.948598623275757, bc_x1 7.263289451599121, int 16.029767990112305\n",
            "ep 2920, total 225.1610107421875, ic 27.236303329467773, ic_v 0.43947136402130127, bc_x0 61.40315628051758, bc_x1 104.88052368164062, int 31.201488494873047\n",
            "ep 2930, total 174.561279296875, ic 29.651134490966797, ic_v 0.7852485179901123, bc_x0 79.64773559570312, bc_x1 33.239315032958984, int 31.23777198791504\n",
            "ep 2940, total 72.78978729248047, ic 32.00401306152344, ic_v 0.30330947041511536, bc_x0 13.492165565490723, bc_x1 3.450683116912842, int 23.5395565032959\n",
            "ep 2950, total 56.87127685546875, ic 31.363662719726562, ic_v 0.2304842174053192, bc_x0 0.8533119559288025, bc_x1 4.237506866455078, int 20.186250686645508\n",
            "ep 2960, total 55.71231460571289, ic 30.6015682220459, ic_v 0.15781240165233612, bc_x0 2.3585565090179443, bc_x1 4.197268009185791, int 18.397048950195312\n",
            "ep 2970, total 48.091583251953125, ic 30.141244888305664, ic_v 0.12329509854316711, bc_x0 0.22678232192993164, bc_x1 0.5337339639663696, int 17.066465377807617\n",
            "ep 2980, total 46.94049835205078, ic 29.29718780517578, ic_v 0.1066056415438652, bc_x0 0.2562924921512604, bc_x1 0.49622997641563416, int 16.784116744995117\n",
            "ep 2990, total 45.94452667236328, ic 28.72762680053711, ic_v 0.11966623365879059, bc_x0 0.23020702600479126, bc_x1 0.48037242889404297, int 16.386594772338867\n",
            "ep 3000, total 45.17501449584961, ic 28.094228744506836, ic_v 0.12678968906402588, bc_x0 0.20414182543754578, bc_x1 0.5506578087806702, int 16.199134826660156\n",
            "ep 3010, total 44.4211311340332, ic 27.530927658081055, ic_v 0.12723125517368317, bc_x0 0.20041346549987793, bc_x1 0.529221773147583, int 16.033275604248047\n",
            "ep 3020, total 43.7238883972168, ic 27.01453971862793, ic_v 0.13031214475631714, bc_x0 0.17702871561050415, bc_x1 0.503804624080658, int 15.898143768310547\n",
            "ep 3030, total 43.32978057861328, ic 26.567384719848633, ic_v 0.13012753427028656, bc_x0 0.23428718745708466, bc_x1 0.6404911875724792, int 15.757429122924805\n",
            "ep 3040, total 197.0234832763672, ic 26.745092391967773, ic_v 0.2478053867816925, bc_x0 44.385032653808594, bc_x1 109.47065734863281, int 16.174833297729492\n",
            "ep 3050, total 95.46826171875, ic 31.855066299438477, ic_v 1.0696640014648438, bc_x0 2.1884586811065674, bc_x1 25.34149169921875, int 35.01351547241211\n",
            "ep 3060, total 176.92616271972656, ic 34.821510314941406, ic_v 0.8288334012031555, bc_x0 93.25296020507812, bc_x1 17.593748092651367, int 30.42905044555664\n",
            "ep 3070, total 62.66498565673828, ic 32.74088668823242, ic_v 0.4465138018131256, bc_x0 1.121454119682312, bc_x1 1.4664547443389893, int 26.889617919921875\n",
            "ep 3080, total 65.2647705078125, ic 32.2806282043457, ic_v 0.2825924754142761, bc_x0 5.688177585601807, bc_x1 5.295368194580078, int 21.717947006225586\n",
            "ep 3090, total 58.02651596069336, ic 31.490869522094727, ic_v 0.19282536208629608, bc_x0 0.6402794718742371, bc_x1 6.302557945251465, int 19.399925231933594\n",
            "ep 3100, total 50.881370544433594, ic 31.1391658782959, ic_v 0.11569507420063019, bc_x0 0.9517713189125061, bc_x1 1.051145315170288, int 17.623531341552734\n",
            "ep 3110, total 48.51664352416992, ic 30.430315017700195, ic_v 0.09742414206266403, bc_x0 0.16258490085601807, bc_x1 0.8908700346946716, int 16.935386657714844\n",
            "ep 3120, total 47.01231002807617, ic 29.492019653320312, ic_v 0.11157306283712387, bc_x0 0.18847990036010742, bc_x1 0.49245309829711914, int 16.727720260620117\n",
            "ep 3130, total 46.0009651184082, ic 28.890331268310547, ic_v 0.11677423864603043, bc_x0 0.16000689566135406, bc_x1 0.4720003306865692, int 16.361791610717773\n",
            "ep 3140, total 45.19900894165039, ic 28.273235321044922, ic_v 0.11918018758296967, bc_x0 0.1650422066450119, bc_x1 0.5021511316299438, int 16.139339447021484\n",
            "ep 3150, total 44.43754577636719, ic 27.692880630493164, ic_v 0.12291045486927032, bc_x0 0.16219313442707062, bc_x1 0.4805605411529541, int 15.97894287109375\n",
            "ep 3160, total 43.77681350708008, ic 27.200355529785156, ic_v 0.12372980266809464, bc_x0 0.16627123951911926, bc_x1 0.4888022541999817, int 15.797593116760254\n",
            "ep 3170, total 43.162960052490234, ic 26.7180118560791, ic_v 0.12538829445838928, bc_x0 0.17086659371852875, bc_x1 0.4888245463371277, int 15.659808158874512\n",
            "ep 3180, total 42.80464553833008, ic 26.25974464416504, ic_v 0.12765492498874664, bc_x0 0.2424965798854828, bc_x1 0.6320520043373108, int 15.542634963989258\n",
            "ep 3190, total 335.5660400390625, ic 25.80113983154297, ic_v 0.2880801558494568, bc_x0 77.00773620605469, bc_x1 214.85374450683594, int 17.615262985229492\n",
            "ep 3200, total 368.3898010253906, ic 33.50113296508789, ic_v 1.480928897857666, bc_x0 106.96839904785156, bc_x1 186.9979248046875, int 39.44134521484375\n",
            "ep 3210, total 84.09505462646484, ic 34.52391815185547, ic_v 0.584102213382721, bc_x0 1.1462432146072388, bc_x1 11.74831485748291, int 36.0924186706543\n",
            "ep 3220, total 67.27005767822266, ic 33.3729248046875, ic_v 0.4897690415382385, bc_x0 1.1401901245117188, bc_x1 2.9629406929016113, int 29.30417251586914\n",
            "ep 3230, total 68.44998168945312, ic 33.36753845214844, ic_v 0.28339487314224243, bc_x0 3.3991551399230957, bc_x1 9.051237106323242, int 22.348594665527344\n",
            "ep 3240, total 54.35563659667969, ic 32.531280517578125, ic_v 0.18575534224510193, bc_x0 1.0133154392242432, bc_x1 1.1654490232467651, int 19.45977210998535\n",
            "ep 3250, total 51.54425811767578, ic 31.689119338989258, ic_v 0.12141288816928864, bc_x0 1.1428872346878052, bc_x1 0.4872819781303406, int 18.103496551513672\n",
            "ep 3260, total 49.581790924072266, ic 30.89531707763672, ic_v 0.09869326651096344, bc_x0 0.33065107464790344, bc_x1 0.95132976770401, int 17.30573844909668\n",
            "ep 3270, total 47.680091857910156, ic 30.155290603637695, ic_v 0.10698205977678299, bc_x0 0.1976999193429947, bc_x1 0.49160224199295044, int 16.72845458984375\n",
            "ep 3280, total 46.62099838256836, ic 29.329776763916016, ic_v 0.11376790702342987, bc_x0 0.2103756070137024, bc_x1 0.44765353202819824, int 16.519363403320312\n",
            "ep 3290, total 45.66862106323242, ic 28.75164794921875, ic_v 0.11581331491470337, bc_x0 0.1556624174118042, bc_x1 0.479341596364975, int 16.16609001159668\n",
            "ep 3300, total 44.86101150512695, ic 28.1214656829834, ic_v 0.1195346787571907, bc_x0 0.15889419615268707, bc_x1 0.46939539909362793, int 15.99166202545166\n",
            "ep 3310, total 44.136375427246094, ic 27.591806411743164, ic_v 0.12068180739879608, bc_x0 0.16220331192016602, bc_x1 0.46962282061576843, int 15.791998863220215\n",
            "ep 3320, total 43.47843551635742, ic 27.086166381835938, ic_v 0.12197208404541016, bc_x0 0.16618432104587555, bc_x1 0.47539541125297546, int 15.628658294677734\n",
            "ep 3330, total 42.881591796875, ic 26.61591339111328, ic_v 0.12339065968990326, bc_x0 0.17102313041687012, bc_x1 0.49079135060310364, int 15.4804105758667\n",
            "ep 3340, total 43.39583206176758, ic 26.199487686157227, ic_v 0.12453043460845947, bc_x0 0.46900850534439087, bc_x1 1.2681750059127808, int 15.33457088470459\n",
            "ep 3350, total 772.1511840820312, ic 27.522533416748047, ic_v 0.9863267540931702, bc_x0 215.04226684570312, bc_x1 508.610595703125, int 19.989377975463867\n",
            "ep 3360, total 122.98526763916016, ic 29.543943405151367, ic_v 1.1645935773849487, bc_x0 48.378177642822266, bc_x1 9.392539024353027, int 34.505950927734375\n",
            "ep 3370, total 87.94078063964844, ic 32.33456802368164, ic_v 0.5538891553878784, bc_x0 16.844877243041992, bc_x1 9.530074119567871, int 28.67730712890625\n",
            "ep 3380, total 72.7100830078125, ic 32.36507797241211, ic_v 0.29441946744918823, bc_x0 11.251523971557617, bc_x1 5.5462212562561035, int 23.25278091430664\n",
            "ep 3390, total 55.77128982543945, ic 31.794719696044922, ic_v 0.16563467681407928, bc_x0 0.3645743727684021, bc_x1 4.174981117248535, int 19.271320343017578\n",
            "ep 3400, total 51.813697814941406, ic 31.050472259521484, ic_v 0.15101920068264008, bc_x0 2.4885149002075195, bc_x1 0.6307499408721924, int 17.49287986755371\n",
            "ep 3410, total 48.667930603027344, ic 29.834774017333984, ic_v 0.10342159122228622, bc_x0 1.0480694770812988, bc_x1 0.5049163103103638, int 17.17668914794922\n",
            "ep 3420, total 46.87006378173828, ic 29.356990814208984, ic_v 0.10789380967617035, bc_x0 0.21007347106933594, bc_x1 0.8423296213150024, int 16.35271453857422\n",
            "ep 3430, total 45.56975555419922, ic 28.611812591552734, ic_v 0.11707090586423874, bc_x0 0.26263150572776794, bc_x1 0.5065165758132935, int 16.071664810180664\n",
            "ep 3440, total 44.575294494628906, ic 28.002182006835938, ic_v 0.11612220853567123, bc_x0 0.15335097908973694, bc_x1 0.5039201378822327, int 15.79965877532959\n",
            "ep 3450, total 43.805728912353516, ic 27.378570556640625, ic_v 0.1205943152308464, bc_x0 0.1632223129272461, bc_x1 0.4931703507900238, int 15.650108337402344\n",
            "ep 3460, total 43.111183166503906, ic 26.8747615814209, ic_v 0.12215714901685715, bc_x0 0.1714203953742981, bc_x1 0.4815807342529297, int 15.461197853088379\n",
            "ep 3470, total 42.47085952758789, ic 26.399333953857422, ic_v 0.12364756315946579, bc_x0 0.16745281219482422, bc_x1 0.47823256254196167, int 15.302127838134766\n",
            "ep 3480, total 42.0260124206543, ic 25.946264266967773, ic_v 0.12479664385318756, bc_x0 0.1998998075723648, bc_x1 0.5821467041969299, int 15.172844886779785\n",
            "ep 3490, total 191.55975341796875, ic 26.088382720947266, ic_v 0.2340243011713028, bc_x0 43.9798698425293, bc_x1 105.65792083740234, int 15.599502563476562\n",
            "ep 3500, total 147.33865356445312, ic 31.97634506225586, ic_v 1.2946515083312988, bc_x0 7.206352233886719, bc_x1 67.62199401855469, int 39.2392463684082\n",
            "ep 3510, total 159.44729614257812, ic 36.18791580200195, ic_v 0.9675936102867126, bc_x0 86.6545639038086, bc_x1 2.9965271949768066, int 32.64063262939453\n",
            "ep 3520, total 104.1369857788086, ic 33.77321243286133, ic_v 0.7219188213348389, bc_x0 40.31003952026367, bc_x1 1.7722563743591309, int 27.559497833251953\n",
            "ep 3530, total 59.07244110107422, ic 33.03665542602539, ic_v 0.2759956121444702, bc_x0 2.272223949432373, bc_x1 1.9219098091125488, int 21.565593719482422\n",
            "ep 3540, total 56.441200256347656, ic 32.120113372802734, ic_v 0.17740219831466675, bc_x0 0.5920612215995789, bc_x1 4.776954650878906, int 18.774608612060547\n",
            "ep 3550, total 50.960899353027344, ic 31.4069881439209, ic_v 0.12712164223194122, bc_x0 1.4427073001861572, bc_x1 0.5859432220458984, int 17.398080825805664\n",
            "ep 3560, total 48.15976333618164, ic 30.29149627685547, ic_v 0.09703197330236435, bc_x0 0.19180069863796234, bc_x1 0.5994856953620911, int 16.979888916015625\n",
            "ep 3570, total 46.87309646606445, ic 29.558202743530273, ic_v 0.10758127272129059, bc_x0 0.2224365621805191, bc_x1 0.5797401666641235, int 16.40507698059082\n",
            "ep 3580, total 45.71940994262695, ic 28.83970069885254, ic_v 0.11338335275650024, bc_x0 0.16774138808250427, bc_x1 0.5225754976272583, int 16.07594871520996\n",
            "ep 3590, total 44.7519645690918, ic 28.18876075744629, ic_v 0.11594618856906891, bc_x0 0.1706364005804062, bc_x1 0.4657120704650879, int 15.810850143432617\n",
            "ep 3600, total 43.924652099609375, ic 27.595012664794922, ic_v 0.11971601843833923, bc_x0 0.15840494632720947, bc_x1 0.451507031917572, int 15.599949836730957\n",
            "ep 3610, total 43.214385986328125, ic 27.067058563232422, ic_v 0.12087801843881607, bc_x0 0.16689671576023102, bc_x1 0.45773592591285706, int 15.401752471923828\n",
            "ep 3620, total 42.55582809448242, ic 26.54844093322754, ic_v 0.12208554148674011, bc_x0 0.16548539698123932, bc_x1 0.46248766779899597, int 15.257269859313965\n",
            "ep 3630, total 41.96445846557617, ic 26.081857681274414, ic_v 0.12319978326559067, bc_x0 0.1730891615152359, bc_x1 0.47677338123321533, int 15.109481811523438\n",
            "ep 3640, total 44.392024993896484, ic 25.686508178710938, ic_v 0.12476889789104462, bc_x0 1.0732421875, bc_x1 2.5440306663513184, int 14.963414192199707\n",
            "ep 3650, total 885.9472045898438, ic 26.684568405151367, ic_v 1.9742528200149536, bc_x0 265.86224365234375, bc_x1 560.214111328125, int 31.211997985839844\n",
            "ep 3660, total 235.3979949951172, ic 31.426652908325195, ic_v 1.3629655838012695, bc_x0 90.18470001220703, bc_x1 76.89057922363281, int 35.53303527832031\n",
            "ep 3670, total 64.94950103759766, ic 32.59455871582031, ic_v 0.519714891910553, bc_x0 1.0014151334762573, bc_x1 2.364785671234131, int 28.468961715698242\n",
            "ep 3680, total 72.03504943847656, ic 31.938440322875977, ic_v 0.35498201847076416, bc_x0 11.300311088562012, bc_x1 5.163387298583984, int 23.277868270874023\n",
            "ep 3690, total 56.23569869995117, ic 31.25136375427246, ic_v 0.1882588118314743, bc_x0 0.9346212148666382, bc_x1 4.261280536651611, int 19.600114822387695\n",
            "ep 3700, total 52.15013122558594, ic 30.560632705688477, ic_v 0.14418385922908783, bc_x0 3.1863203048706055, bc_x1 0.6047695279121399, int 17.654163360595703\n",
            "ep 3710, total 47.9796257019043, ic 29.829036712646484, ic_v 0.10039819031953812, bc_x0 0.767777681350708, bc_x1 0.584081768989563, int 16.69826889038086\n",
            "ep 3720, total 46.34498977661133, ic 29.104698181152344, ic_v 0.11401183158159256, bc_x0 0.4120698571205139, bc_x1 0.5683556199073792, int 16.14579200744629\n",
            "ep 3730, total 45.04307174682617, ic 28.376726150512695, ic_v 0.11915622651576996, bc_x0 0.17074565589427948, bc_x1 0.5435703992843628, int 15.832812309265137\n",
            "ep 3740, total 44.07721710205078, ic 27.735591888427734, ic_v 0.11795249581336975, bc_x0 0.19494499266147614, bc_x1 0.4700838029384613, int 15.558578491210938\n",
            "ep 3750, total 43.2368049621582, ic 27.145532608032227, ic_v 0.12073657661676407, bc_x0 0.1590372622013092, bc_x1 0.45531612634658813, int 15.356122970581055\n",
            "ep 3760, total 42.53459930419922, ic 26.599258422851562, ic_v 0.12166893482208252, bc_x0 0.1623111516237259, bc_x1 0.45570528507232666, int 15.195594787597656\n",
            "ep 3770, total 41.90788650512695, ic 26.120840072631836, ic_v 0.12290103733539581, bc_x0 0.17026884853839874, bc_x1 0.4698183238506317, int 15.023996353149414\n",
            "ep 3780, total 41.803138732910156, ic 25.673355102539062, ic_v 0.12387863546609879, bc_x0 0.31578442454338074, bc_x1 0.8144630789756775, int 14.875596046447754\n",
            "ep 3790, total 324.06787109375, ic 26.045974731445312, ic_v 0.37226277589797974, bc_x0 91.37078094482422, bc_x1 190.07261657714844, int 16.20619010925293\n",
            "ep 3800, total 206.16131591796875, ic 30.220674514770508, ic_v 0.7387547492980957, bc_x0 37.31657791137695, bc_x1 106.3139877319336, int 31.57126808166504\n",
            "ep 3810, total 140.8976593017578, ic 32.88671112060547, ic_v 0.40388596057891846, bc_x0 69.87167358398438, bc_x1 11.668889999389648, int 26.06644630432129\n",
            "ep 3820, total 63.580482482910156, ic 30.979673385620117, ic_v 0.37185364961624146, bc_x0 3.9296555519104004, bc_x1 4.842095851898193, int 23.45714569091797\n",
            "ep 3830, total 52.89363098144531, ic 30.335643768310547, ic_v 0.19168981909751892, bc_x0 0.30150365829467773, bc_x1 2.501612663269043, int 19.56311798095703\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_19539/12162836.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"cpu:0\"\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      2\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;36m0.001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_input\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m20000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/var/folders/6h/mmvp5df90fb3fsqtc5d9mxt40000gn/T/ipykernel_19539/390607024.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(model, x_input, c, epochs)\u001b[0m\n\u001b[1;32m     59\u001b[0m             \u001b[0mreg_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreduce_sum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlosses\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\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---> 61\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     62\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     63\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;36m10\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/backprop.py\u001b[0m in \u001b[0;36m_gradient_function\u001b[0;34m(op_name, attr_tuple, num_inputs, inputs, outputs, out_grads, skip_input_indices, forward_pass_name_scope)\u001b[0m\n\u001b[1;32m    157\u001b[0m       \u001b[0mgradient_name_scope\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mforward_pass_name_scope\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    158\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname_scope\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgradient_name_scope\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--> 159\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mgrad_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmock_op\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mout_grads\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    160\u001b[0m   \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    161\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mgrad_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmock_op\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mout_grads\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/ops/array_grad.py\u001b[0m in \u001b[0;36m_StridedSliceGrad\u001b[0;34m(op, grad)\u001b[0m\n\u001b[1;32m    284\u001b[0m   \u001b[0mstrides\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstrides_static\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mstrides_static\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mstrides\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    285\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 286\u001b[0;31m   return array_ops.strided_slice_grad(\n\u001b[0m\u001b[1;32m    287\u001b[0m       \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    288\u001b[0m       \u001b[0mbegin\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/ops/gen_array_ops.py\u001b[0m in \u001b[0;36mstrided_slice_grad\u001b[0;34m(shape, begin, end, strides, dy, begin_mask, end_mask, ellipsis_mask, new_axis_mask, shrink_axis_mask, name)\u001b[0m\n\u001b[1;32m  10691\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0mtld\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_eager\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m  10692\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[0;32m> 10693\u001b[0;31m       _result = pywrap_tfe.TFE_Py_FastPathExecute(\n\u001b[0m\u001b[1;32m  10694\u001b[0m         \u001b[0m_ctx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"StridedSliceGrad\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbegin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstrides\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdy\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m  10695\u001b[0m         \u001b[0;34m\"begin_mask\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbegin_mask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"end_mask\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend_mask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"ellipsis_mask\"\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": [
        "with tf.device(\"cpu:0\"):\n",
        "    opt = keras.optimizers.Adam(learning_rate=0.001)\n",
        "    fit(model, x_input, c, 20000)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n",
            "INFO:tensorflow:Assets written to: elly_wave_split_c0.5_1000_500_10_1_t4_sin/assets\n"
          ]
        }
      ],
      "source": [
        "model.save(\"elly_wave_split_c0.5_1000_500_10_1_t4_sin\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "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('elly_wave_split_c0.5_1000_500_10_1_t4')\n",
        "dx = 0.02\n",
        "dt = 0.02\n",
        "time_span = 2.\n",
        "x_end = 1.\n",
        "num_p_row = 51\n",
        "epoch = 10\n",
        "c = 0.95\n",
        "x_input = tf.constant([np.asarray([x, t]) for t in np.arange(0, time_span+dt, dt)\n",
        "                      for x in np.arange(0, x_end+dx, dx)], dtype='float32')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "L4SWFc_UcdCX",
        "outputId": "4af0232f-0b56-4bd5-8b83-ac446971ce96"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 0 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "for i in range(0, 200, 1):\n",
        "    num = i\n",
        "    plt.plot(x_input[num_p_row*num:num_p_row*(num+1), 0],\n",
        "             model(x_input[num_p_row*num:num_p_row*(num+1), :]))\n",
        "    plt.xlim([0,1])\n",
        "    plt.ylim(-4.5,4.5)\n",
        "    plt.grid()\n",
        "    plt.savefig(f'gif/{i}.jpg')\n",
        "    plt.clf()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {},
      "outputs": [],
      "source": [
        "gif_images = []\n",
        "for i in range(0, 50):\n",
        "    gif_images.append(imageio.imread(\"gif/\"+str(i)+\".jpg\"))\n",
        "imageio.mimsave(\"wave.gif\", gif_images, fps=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "Pb4wBC-ldi_C"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 2160x1080 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "def check_3d_plot(model, elev_, azim_):\n",
        "    x = np.arange(0, 1.0, 0.05)\n",
        "    t = np.arange(0, 2.0, 0.05)\n",
        "    zs = np.array([model(tf.constant([x_, t_], shape=(1, 2)))\n",
        "                  for t_ in t for x_ in x])\n",
        "    X, Y = np.meshgrid(x, t)\n",
        "    Z = zs.reshape(X.shape)\n",
        "    fig = plt.figure(figsize=(30, 15))\n",
        "    ax = fig.add_subplot(121, projection='3d')\n",
        "    ax.set_xlabel('x')\n",
        "    ax.set_ylabel('t')\n",
        "    ax.plot_surface(X, Y, Z, cmap='jet')\n",
        "    ax.view_init(elev=elev_, azim=azim_)\n",
        "    ax2 = fig.add_subplot(122, projection='3d')\n",
        "    ax2.plot_surface(X, Y, Z, cmap='jet')\n",
        "    ax2.view_init(elev=90., azim=0.)\n",
        "    ax2.set_xlabel('x')\n",
        "    ax2.set_ylabel('t')\n",
        "    plt.show()\n",
        "check_3d_plot(model, 25, -35)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "Proj_gen2.ipynb",
      "provenance": []
    },
    "interpreter": {
      "hash": "6d0436a005dab00633980011810d3fa07be3a7414af46c729a0eb2011268a27d"
    },
    "kernelspec": {
      "display_name": "Python 3.8.11 64-bit ('tf': conda)",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.12"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}