A3C.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import multiprocessing\n",
    "import threading\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import gym\n",
    "import os\n",
    "import shutil\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "GAME = 'Pendulum-v0'\n",
    "OUTPUT_GRAPH = True\n",
    "LOG_DIR = './log'\n",
    "N_WORKERS = multiprocessing.cpu_count()\n",
    "MAX_EP_STEP = 200\n",
    "MAX_GLOBAL_EP = 2000\n",
    "GLOBAL_NET_SCOPE = 'Global_Net'\n",
    "UPDATE_GLOBAL_ITER = 10\n",
    "GAMMA = 0.9\n",
    "ENTROPY_BETA = 0.01\n",
    "LR_A = 0.0001    # learning rate for actor\n",
    "LR_C = 0.001    # learning rate for critic\n",
    "GLOBAL_RUNNING_R = []\n",
    "GLOBAL_EP = 0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "env = gym.make(GAME)\n",
    "\n",
    "N_S = env.observation_space.shape[0]\n",
    "N_A = env.action_space.shape[0]\n",
    "A_BOUND = [env.action_space.low, env.action_space.high]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class ACNet(object):\n",
    "    def __init__(self, scope, globalAC=None):\n",
    "\n",
    "        if scope == GLOBAL_NET_SCOPE:   # get global network\n",
    "            with tf.variable_scope(scope):\n",
    "                self.s = tf.placeholder(tf.float32, [None, N_S], 'S')\n",
    "                self.a_params, self.c_params = self._build_net(scope)[-2:]\n",
    "        else:   # local net, calculate losses\n",
    "            with tf.variable_scope(scope):\n",
    "                self.s = tf.placeholder(tf.float32, [None, N_S], 'S')\n",
    "                self.a_his = tf.placeholder(tf.float32, [None, N_A], 'A')\n",
    "                self.v_target = tf.placeholder(tf.float32, [None, 1], 'Vtarget')\n",
    "\n",
    "                mu, sigma, self.v, self.a_params, self.c_params = self._build_net(scope)\n",
    "\n",
    "                td = tf.subtract(self.v_target, self.v, name='TD_error')\n",
    "                with tf.name_scope('c_loss'):\n",
    "                    self.c_loss = tf.reduce_mean(tf.square(td))\n",
    "\n",
    "                with tf.name_scope('wrap_a_out'):\n",
    "                    mu, sigma = mu * A_BOUND[1], sigma + 1e-4\n",
    "\n",
    "                normal_dist = tf.distributions.Normal(mu, sigma)\n",
    "\n",
    "                with tf.name_scope('a_loss'):\n",
    "                    log_prob = normal_dist.log_prob(self.a_his)\n",
    "                    exp_v = log_prob * tf.stop_gradient(td)\n",
    "                    entropy = normal_dist.entropy()  # encourage exploration\n",
    "                    self.exp_v = ENTROPY_BETA * entropy + exp_v\n",
    "                    self.a_loss = tf.reduce_mean(-self.exp_v)\n",
    "\n",
    "                with tf.name_scope('choose_a'):  # use local params to choose action\n",
    "                    self.A = tf.clip_by_value(tf.squeeze(normal_dist.sample(1), axis=[0, 1]), A_BOUND[0], A_BOUND[1])\n",
    "                with tf.name_scope('local_grad'):\n",
    "                    self.a_grads = tf.gradients(self.a_loss, self.a_params)\n",
    "                    self.c_grads = tf.gradients(self.c_loss, self.c_params)\n",
    "\n",
    "            with tf.name_scope('sync'):\n",
    "                with tf.name_scope('pull'):\n",
    "                    self.pull_a_params_op = [l_p.assign(g_p) for l_p, g_p in zip(self.a_params, globalAC.a_params)]\n",
    "                    self.pull_c_params_op = [l_p.assign(g_p) for l_p, g_p in zip(self.c_params, globalAC.c_params)]\n",
    "                with tf.name_scope('push'):\n",
    "                    self.update_a_op = OPT_A.apply_gradients(zip(self.a_grads, globalAC.a_params))\n",
    "                    self.update_c_op = OPT_C.apply_gradients(zip(self.c_grads, globalAC.c_params))\n",
    "\n",
    "    def _build_net(self, scope):\n",
    "        w_init = tf.random_normal_initializer(0., .1)\n",
    "        with tf.variable_scope('actor'):\n",
    "            l_a = tf.layers.dense(self.s, 200, tf.nn.relu6, kernel_initializer=w_init, name='la')\n",
    "            mu = tf.layers.dense(l_a, N_A, tf.nn.tanh, kernel_initializer=w_init, name='mu')\n",
    "            sigma = tf.layers.dense(l_a, N_A, tf.nn.softplus, kernel_initializer=w_init, name='sigma')\n",
    "        with tf.variable_scope('critic'):\n",
    "            l_c = tf.layers.dense(self.s, 100, tf.nn.relu6, kernel_initializer=w_init, name='lc')\n",
    "            v = tf.layers.dense(l_c, 1, kernel_initializer=w_init, name='v')  # state value\n",
    "        a_params = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope=scope + '/actor')\n",
    "        c_params = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope=scope + '/critic')\n",
    "        return mu, sigma, v, a_params, c_params\n",
    "\n",
    "    def update_global(self, feed_dict):  # run by a local\n",
    "        SESS.run([self.update_a_op, self.update_c_op], feed_dict)  # local grads applies to global net\n",
    "\n",
    "    def pull_global(self):  # run by a local\n",
    "        SESS.run([self.pull_a_params_op, self.pull_c_params_op])\n",
    "\n",
    "    def choose_action(self, s):  # run by a local\n",
    "        s = s[np.newaxis, :]\n",
    "        return SESS.run(self.A, {self.s: s})\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Worker(object):\n",
    "    def __init__(self, name, globalAC):\n",
    "        self.env = gym.make(GAME).unwrapped\n",
    "        self.name = name\n",
    "        self.AC = ACNet(name, globalAC)\n",
    "\n",
    "    def work(self):\n",
    "        global GLOBAL_RUNNING_R, GLOBAL_EP\n",
    "        total_step = 1\n",
    "        buffer_s, buffer_a, buffer_r = [], [], []\n",
    "        while not COORD.should_stop() and GLOBAL_EP < MAX_GLOBAL_EP:\n",
    "            s = self.env.reset()\n",
    "            ep_r = 0\n",
    "            for ep_t in range(MAX_EP_STEP):\n",
    "                # if self.name == 'W_0':\n",
    "                #     self.env.render()\n",
    "                a = self.AC.choose_action(s)\n",
    "                s_, r, done, info = self.env.step(a)\n",
    "                done = True if ep_t == MAX_EP_STEP - 1 else False\n",
    "\n",
    "                ep_r += r\n",
    "                buffer_s.append(s)\n",
    "                buffer_a.append(a)\n",
    "                buffer_r.append((r+8)/8)    # normalize\n",
    "\n",
    "                if total_step % UPDATE_GLOBAL_ITER == 0 or done:   # update global and assign to local net\n",
    "                    if done:\n",
    "                        v_s_ = 0   # terminal\n",
    "                    else:\n",
    "                        v_s_ = SESS.run(self.AC.v, {self.AC.s: s_[np.newaxis, :]})[0, 0]\n",
    "                    buffer_v_target = []\n",
    "                    for r in buffer_r[::-1]:    # reverse buffer r\n",
    "                        v_s_ = r + GAMMA * v_s_\n",
    "                        buffer_v_target.append(v_s_)\n",
    "                    buffer_v_target.reverse()\n",
    "\n",
    "                    buffer_s, buffer_a, buffer_v_target = np.vstack(buffer_s), np.vstack(buffer_a), np.vstack(buffer_v_target)\n",
    "                    feed_dict = {\n",
    "                        self.AC.s: buffer_s,\n",
    "                        self.AC.a_his: buffer_a,\n",
    "                        self.AC.v_target: buffer_v_target,\n",
    "                    }\n",
    "                    self.AC.update_global(feed_dict)\n",
    "                    buffer_s, buffer_a, buffer_r = [], [], []\n",
    "                    self.AC.pull_global()\n",
    "\n",
    "                s = s_\n",
    "                total_step += 1\n",
    "                if done:\n",
    "                    if len(GLOBAL_RUNNING_R) == 0:  # record running episode reward\n",
    "                        GLOBAL_RUNNING_R.append(ep_r)\n",
    "                    else:\n",
    "                        GLOBAL_RUNNING_R.append(0.9 * GLOBAL_RUNNING_R[-1] + 0.1 * ep_r)\n",
    "                    print(\n",
    "                        self.name,\n",
    "                        \"Ep:\", GLOBAL_EP,\n",
    "                        \"| Ep_r: %i\" % GLOBAL_RUNNING_R[-1],\n",
    "                          )\n",
    "                    GLOBAL_EP += 1\n",
    "                    break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-4-77cf19dfad3b>:49: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use keras.layers.dense instead.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From <ipython-input-4-77cf19dfad3b>:23: Normal.__init__ (from tensorflow.python.ops.distributions.normal) is deprecated and will be removed after 2019-01-01.\n",
      "Instructions for updating:\n",
      "The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.\n",
      "WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/distributions/normal.py:160: Distribution.__init__ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01.\n",
      "Instructions for updating:\n",
      "The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.\n",
      "W_1 Ep: 0 | Ep_r: -1343\n",
      "W_2 Ep: 1 | Ep_r: -1395\n",
      "W_3 Ep: 2 | Ep_r: -1412\n",
      "W_0 Ep: 3 | Ep_r: -1425\n",
      "W_2 Ep: 4 | Ep_r: -1453\n",
      "W_3 Ep: 5 | Ep_r: -1445\n",
      "W_1 Ep: 6 | Ep_r: -1453\n",
      "W_0 Ep: 7 | Ep_r: -1473\n",
      "W_3 Ep: 8 | Ep_r: -1503\n",
      "W_2 Ep: 9 | Ep_r: -1505\n",
      "W_0 Ep: 10 | Ep_r: -1507\n",
      "W_1 Ep: 11 | Ep_r: -1510\n",
      "W_2 Ep: 12 | Ep_r: -1516\n",
      "W_3 Ep: 13 | Ep_r: -1513\n",
      "W_0 Ep: 14 | Ep_r: -1539\n",
      "W_1 Ep: 15 | Ep_r: -1559\n",
      "W_2 Ep: 16 | Ep_r: -1566\n",
      "W_3 Ep: 17 | Ep_r: -1576\n",
      "W_0 Ep: 18 | Ep_r: -1572\n",
      "W_1 Ep: 19 | Ep_r: -1584\n",
      "W_2 Ep: 20 | Ep_r: -1576\n",
      "W_3 Ep: 21 | Ep_r: -1582\n",
      "W_0 Ep: 22 | Ep_r: -1569\n",
      "W_1 Ep: 23 | Ep_r: -1562\n",
      "W_2 Ep: 24 | Ep_r: -1580\n",
      "W_3 Ep: 25 | Ep_r: -1571\n",
      "W_0 Ep: 26 | Ep_r: -1568\n",
      "W_1 Ep: 27 | Ep_r: -1575\n",
      "W_3 Ep: 28 | Ep_r: -1552\n",
      "W_2 Ep: 29 | Ep_r: -1553\n",
      "W_0 Ep: 30 | Ep_r: -1522\n",
      "W_1 Ep: 31 | Ep_r: -1478\n",
      "W_3 Ep: 32 | Ep_r: -1486\n",
      "W_2 Ep: 33 | Ep_r: -1499\n",
      "W_0 Ep: 34 | Ep_r: -1518\n",
      "W_1 Ep: 35 | Ep_r: -1517\n",
      "W_3 Ep: 36 | Ep_r: -1522\n",
      "W_2 Ep: 37 | Ep_r: -1490\n",
      "W_0 Ep: 38 | Ep_r: -1492\n",
      "W_1 Ep: 39 | Ep_r: -1510\n",
      "W_3 Ep: 40 | Ep_r: -1514\n",
      "W_2 Ep: 41 | Ep_r: -1524\n",
      "W_0 Ep: 42 | Ep_r: -1508\n",
      "W_1 Ep: 43 | Ep_r: -1511\n",
      "W_3 Ep: 44 | Ep_r: -1520\n",
      "W_2 Ep: 45 | Ep_r: -1493\n",
      "W_0 Ep: 46 | Ep_r: -1492\n",
      "W_1 Ep: 47 | Ep_r: -1509\n",
      "W_3 Ep: 48 | Ep_r: -1493\n",
      "W_2 Ep: 49 | Ep_r: -1506\n",
      "W_0 Ep: 50 | Ep_r: -1489\n",
      "W_1 Ep: 51 | Ep_r: -1500\n",
      "W_3 Ep: 52 | Ep_r: -1501\n",
      "W_2 Ep: 53 | Ep_r: -1501\n",
      "W_0 Ep: 54 | Ep_r: -1470\n",
      "W_1 Ep: 55 | Ep_r: -1446\n",
      "W_2 Ep: 56 | Ep_r: -1421\n",
      "W_3 Ep: 57 | Ep_r: -1422\n",
      "W_0 Ep: 58 | Ep_r: -1400\n",
      "W_1 Ep: 59 | Ep_r: -1423\n",
      "W_2 Ep: 60 | Ep_r: -1401\n",
      "W_3 Ep: 61 | Ep_r: -1398\n",
      "W_0 Ep: 62 | Ep_r: -1390\n",
      "W_1 Ep: 63 | Ep_r: -1384\n",
      "W_2 Ep: 64 | Ep_r: -1370\n",
      "W_3 Ep: 65 | Ep_r: -1375\n",
      "W_0 Ep: 66 | Ep_r: -1372\n",
      "W_1 Ep: 67 | Ep_r: -1376\n",
      "W_2 Ep: 68 | Ep_r: -1373\n",
      "W_3 Ep: 69 | Ep_r: -1381\n",
      "W_0 Ep: 70 | Ep_r: -1340\n",
      "W_1 Ep: 71 | Ep_r: -1351\n",
      "W_2 Ep: 72 | Ep_r: -1333\n",
      "W_3 Ep: 73 | Ep_r: -1322\n",
      "W_0 Ep: 74 | Ep_r: -1310\n",
      "W_1 Ep: 75 | Ep_r: -1296\n",
      "W_2 Ep: 76 | Ep_r: -1294\n",
      "W_3 Ep: 77 | Ep_r: -1294\n",
      "W_0 Ep: 78 | Ep_r: -1305\n",
      "W_1 Ep: 79 | Ep_r: -1284\n",
      "W_2 Ep: 80 | Ep_r: -1306\n",
      "W_3 Ep: 81 | Ep_r: -1276\n",
      "W_0 Ep: 82 | Ep_r: -1258\n",
      "W_1 Ep: 83 | Ep_r: -1257\n",
      "W_2 Ep: 84 | Ep_r: -1276\n",
      "W_3 Ep: 85 | Ep_r: -1271\n",
      "W_0 Ep: 86 | Ep_r: -1289\n",
      "W_1 Ep: 87 | Ep_r: -1277\n",
      "W_2 Ep: 88 | Ep_r: -1263\n",
      "W_3 Ep: 89 | Ep_r: -1249\n",
      "W_0 Ep: 90 | Ep_r: -1270\n",
      "W_1 Ep: 91 | Ep_r: -1281\n",
      "W_2 Ep: 92 | Ep_r: -1288\n",
      "W_3 Ep: 93 | Ep_r: -1272\n",
      "W_0 Ep: 94 | Ep_r: -1282\n",
      "W_1 Ep: 95 | Ep_r: -1284\n",
      "W_2 Ep: 96 | Ep_r: -1293\n",
      "W_3 Ep: 97 | Ep_r: -1299\n",
      "W_0 Ep: 98 | Ep_r: -1309\n",
      "W_1 Ep: 99 | Ep_r: -1274\n",
      "W_2 Ep: 100 | Ep_r: -1280\n",
      "W_3 Ep: 101 | Ep_r: -1290\n",
      "W_0 Ep: 102 | Ep_r: -1246\n",
      "W_1 Ep: 103 | Ep_r: -1231\n",
      "W_2 Ep: 104 | Ep_r: -1256\n",
      "W_3 Ep: 105 | Ep_r: -1261\n",
      "W_0 Ep: 106 | Ep_r: -1247\n",
      "W_1 Ep: 107 | Ep_r: -1268\n",
      "W_2 Ep: 108 | Ep_r: -1259\n",
      "W_3 Ep: 109 | Ep_r: -1229\n",
      "W_0 Ep: 110 | Ep_r: -1231\n",
      "W_1 Ep: 111 | Ep_r: -1239\n",
      "W_2 Ep: 112 | Ep_r: -1244\n",
      "W_3 Ep: 113 | Ep_r: -1241\n",
      "W_0 Ep: 114 | Ep_r: -1214\n",
      "W_1 Ep: 115 | Ep_r: -1211\n",
      "W_2 Ep: 116 | Ep_r: -1210\n",
      "W_3 Ep: 117 | Ep_r: -1209\n",
      "W_0 Ep: 118 | Ep_r: -1195\n",
      "W_1 Ep: 119 | Ep_r: -1186\n",
      "W_2 Ep: 120 | Ep_r: -1195\n",
      "W_3 Ep: 121 | Ep_r: -1207\n",
      "W_0 Ep: 122 | Ep_r: -1196\n",
      "W_1 Ep: 123 | Ep_r: -1182\n",
      "W_2 Ep: 124 | Ep_r: -1161\n",
      "W_3 Ep: 125 | Ep_r: -1166\n",
      "W_0 Ep: 126 | Ep_r: -1147\n",
      "W_1 Ep: 127 | Ep_r: -1174\n",
      "W_2 Ep: 128 | Ep_r: -1174\n",
      "W_3 Ep: 129 | Ep_r: -1174\n",
      "W_0 Ep: 130 | Ep_r: -1176\n",
      "W_2 Ep: 131 | Ep_r: -1182\n",
      "W_1 Ep: 132 | Ep_r: -1157\n",
      "W_3 Ep: 133 | Ep_r: -1155\n",
      "W_0 Ep: 134 | Ep_r: -1150\n",
      "W_1 Ep: 135 | Ep_r: -1154\n",
      "W_2 Ep: 136 | Ep_r: -1148\n",
      "W_3 Ep: 137 | Ep_r: -1124\n",
      "W_0 Ep: 138 | Ep_r: -1114\n",
      "W_2 Ep: 139 | Ep_r: -1101\n",
      "W_1 Ep: 140 | Ep_r: -1083\n",
      "W_3 Ep: 141 | Ep_r: -1066\n",
      "W_0 Ep: 142 | Ep_r: -1035\n",
      "W_2 Ep: 143 | Ep_r: -1061\n",
      "W_1 Ep: 144 | Ep_r: -1072\n",
      "W_3 Ep: 145 | Ep_r: -1086\n",
      "W_0 Ep: 146 | Ep_r: -1095\n",
      "W_1 Ep: 147 | Ep_r: -1104\n",
      "W_2 Ep: 148 | Ep_r: -1100\n",
      "W_3 Ep: 149 | Ep_r: -1097\n",
      "W_0 Ep: 150 | Ep_r: -1089\n",
      "W_1 Ep: 151 | Ep_r: -1065\n",
      "W_2 Ep: 152 | Ep_r: -1047\n",
      "W_3 Ep: 153 | Ep_r: -1040\n",
      "W_0 Ep: 154 | Ep_r: -1044\n",
      "W_1 Ep: 155 | Ep_r: -1037\n",
      "W_2 Ep: 156 | Ep_r: -1058\n",
      "W_3 Ep: 157 | Ep_r: -1058\n",
      "W_0 Ep: 158 | Ep_r: -1041\n",
      "W_1 Ep: 159 | Ep_r: -1035\n",
      "W_2 Ep: 160 | Ep_r: -1021\n",
      "W_3 Ep: 161 | Ep_r: -1020\n",
      "W_0 Ep: 162 | Ep_r: -1019\n",
      "W_1 Ep: 163 | Ep_r: -995\n",
      "W_2 Ep: 164 | Ep_r: -1000\n",
      "W_3 Ep: 165 | Ep_r: -1004\n",
      "W_0 Ep: 166 | Ep_r: -978\n",
      "W_1 Ep: 167 | Ep_r: -992\n",
      "W_2 Ep: 168 | Ep_r: -1002\n",
      "W_3 Ep: 169 | Ep_r: -1001\n",
      "W_0 Ep: 170 | Ep_r: -976\n",
      "W_1 Ep: 171 | Ep_r: -980\n",
      "W_2 Ep:W_3 172  | Ep_r: -961\n",
      "Ep: 172 | Ep_r: -953\n",
      "W_0 Ep: 174 | Ep_r: -986\n",
      "W_1 Ep: 175 | Ep_r: -986\n",
      "W_3 Ep: 176 | Ep_r: -963\n",
      "W_2 Ep: 177 | Ep_r: -966\n",
      "W_0 Ep: 178 | Ep_r: -970\n",
      "W_1 Ep: 179 | Ep_r: -956\n",
      "W_2 Ep: 180 | Ep_r: -924\n",
      "W_3 Ep: 181 | Ep_r: -976\n",
      "W_0 Ep: 182 | Ep_r: -981\n",
      "W_1 Ep: 183 | Ep_r: -981\n",
      "W_2 Ep: 184 | Ep_r: -970\n",
      "W_3 Ep: 185 | Ep_r: -949\n",
      "W_0 Ep: 186 | Ep_r: -961\n",
      "W_1 Ep: 187 | Ep_r: -987\n",
      "W_2 Ep: 188 | Ep_r: -1012\n",
      "W_3 Ep: 189 | Ep_r: -1021\n",
      "W_0 Ep: 190 | Ep_r: -1015\n",
      "W_2 Ep: 191 | Ep_r: -988\n",
      "W_1 Ep: 192 | Ep_r: -967\n",
      "W_3 Ep: 193 | Ep_r: -970\n",
      "W_0 Ep: 194 | Ep_r: -972\n",
      "W_1 Ep: 195 | Ep_r: -981W_2\n",
      " Ep: 195 | Ep_r: -1001\n",
      "W_3 Ep: 197 | Ep_r: -1004\n",
      "W_0 Ep: 198 | Ep_r: -1009\n",
      "W_2 Ep: 199 | Ep_r: -1004\n",
      "W_1 Ep: 200 | Ep_r: -982\n",
      "W_3 Ep: 201 | Ep_r: -991\n",
      "W_0 Ep: 202 | Ep_r: -1022\n",
      "W_1 Ep: 203 | Ep_r: -1022\n",
      "W_2 Ep: 204 | Ep_r: -1020\n",
      "W_3 Ep: 205 | Ep_r: -1023\n",
      "W_0 Ep: 206 | Ep_r: -1009\n",
      "W_1 Ep: 207 | Ep_r: -1025\n",
      "W_2 Ep: 208 | Ep_r: -1020\n",
      "W_3 Ep: 209 | Ep_r: -1041\n",
      "W_0 Ep: 210 | Ep_r: -1020\n",
      "W_1 Ep: 211 | Ep_r: -1007\n",
      "W_2 Ep: 212 | Ep_r: -995\n",
      "W_3 Ep: 213 | Ep_r: -1016\n",
      "W_0 Ep: 214 | Ep_r: -1029\n",
      "W_1 Ep: 215 | Ep_r: -1002\n",
      "W_2 Ep: 216 | Ep_r: -990\n",
      "W_3 Ep: 217 | Ep_r: -1018\n",
      "W_0 Ep: 218 | Ep_r: -1014\n",
      "W_1 Ep: 219 | Ep_r: -996\n",
      "W_2 Ep: 220 | Ep_r: -1014\n",
      "W_3 Ep: 221 | Ep_r: -990\n",
      "W_0 Ep: 222 | Ep_r: -968\n",
      "W_1 Ep: 223 | Ep_r: -981\n",
      "W_2 Ep: 224 | Ep_r: -996\n",
      "W_3 Ep: 225 | Ep_r: -1032\n",
      "W_0 Ep: 226 | Ep_r: -1019\n",
      "W_1 Ep: 227 | Ep_r: -1020\n",
      "W_2 Ep: 228 | Ep_r: -1006\n",
      "W_3 Ep: 229 | Ep_r: -1011\n",
      "W_0 Ep: 230 | Ep_r: -1018\n",
      "W_1 Ep: 231 | Ep_r: -993\n",
      "W_2 Ep: 232 | Ep_r: -1000\n",
      "W_3 Ep: 233 | Ep_r: -1010\n",
      "W_0 Ep: 234 | Ep_r: -996\n",
      "W_1 Ep: 235 | Ep_r: -999\n",
      "W_2 Ep: 236 | Ep_r: -1007\n",
      "W_3 Ep: 237 | Ep_r: -986\n",
      "W_0 Ep: 238 | Ep_r: -978\n",
      "W_1 Ep: 239 | Ep_r: -1012\n",
      "W_2 Ep: 240 | Ep_r: -1010\n",
      "W_3 Ep: 241 | Ep_r: -970\n",
      "W_0 Ep: 242 | Ep_r: -987\n",
      "W_1 Ep: 243 | Ep_r: -964\n",
      "W_2 Ep: 244 | Ep_r: -984\n",
      "W_3 Ep: 245 | Ep_r: -987\n",
      "W_0 Ep: 246 | Ep_r: -992\n",
      "W_1 Ep: 247W_2 | Ep_r: -999\n",
      " Ep: 247 | Ep_r: -975\n",
      "W_3 Ep: 249 | Ep_r: -967\n",
      "W_0 Ep: 250 | Ep_r: -997\n",
      "W_1 Ep: 251 | Ep_r: -956\n",
      "W_2 Ep: 252 | Ep_r: -949\n",
      "W_3 Ep: 253 | Ep_r: -960\n",
      "W_0 Ep: 254 | Ep_r: -952\n",
      "W_1 Ep: 255 | Ep_r: -925\n",
      "W_2 Ep: 256 | Ep_r: -923\n",
      "W_3 Ep: 257 | Ep_r: -936\n",
      "W_0 Ep: 258 | Ep_r: -908\n",
      "W_1 Ep: 259 | Ep_r: -911\n",
      "W_2 Ep: 260 | Ep_r: -908\n",
      "W_3 Ep: 261 | Ep_r: -886\n",
      "W_0 Ep: 262 | Ep_r: -875\n",
      "W_1 Ep: 263 | Ep_r: -871\n",
      "W_2 Ep: 264 | Ep_r: -887\n",
      "W_3 Ep: 265 | Ep_r: -896\n",
      "W_0 Ep: 266 | Ep_r: -898\n",
      "W_1 Ep: 267 | Ep_r: -896\n",
      "W_2 Ep: 268 | Ep_r: -896\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_3 Ep: 269 | Ep_r: -895\n",
      "W_0 Ep: 270 | Ep_r: -871\n",
      "W_1 Ep: 271 | Ep_r: -885\n",
      "W_2 Ep: 272 | Ep_r: -884\n",
      "W_3 Ep: 273 | Ep_r: -893\n",
      "W_0 Ep: 274 | Ep_r: -866\n",
      "W_1 Ep: 275 | Ep_r: -868\n",
      "W_2 Ep: 276 | Ep_r: -869\n",
      "W_3 Ep: 277 | Ep_r: -858\n",
      "W_0 Ep: 278 | Ep_r: -904\n",
      "W_1 Ep: 279 | Ep_r: -923\n",
      "W_2 Ep: 280 | Ep_r: -930\n",
      "W_3 Ep: 281 | Ep_r: -913\n",
      "W_0 Ep: 282 | Ep_r: -914\n",
      "W_1 Ep: 283 | Ep_r: -916\n",
      "W_2 Ep: 284 | Ep_r: -916\n",
      "W_3 Ep: 285 | Ep_r: -929\n",
      "W_0 Ep: 286 | Ep_r: -926\n",
      "W_1 Ep: 287 | Ep_r: -908\n",
      "W_2 Ep: 288 | Ep_r: -920\n",
      "W_3 Ep: 289 | Ep_r: -914\n",
      "W_0 Ep: 290 | Ep_r: -894\n",
      "W_1 Ep: 291 | Ep_r: -919\n",
      "W_2 Ep: 292 | Ep_r: -893\n",
      "W_3 Ep: 293 | Ep_r: -880\n",
      "W_0 Ep: 294 | Ep_r: -872\n",
      "W_1 Ep: 295 | Ep_r: -880\n",
      "W_2 Ep: 296 | Ep_r: -856\n",
      "W_3 Ep: 297 | Ep_r: -857\n",
      "W_0 Ep: 298 | Ep_r: -835\n",
      "W_1 Ep: 299 | Ep_r: -821\n",
      "W_2 Ep: 300 | Ep_r: -815\n",
      "W_3 Ep: 301 | Ep_r: -836\n",
      "W_0 Ep: 302 | Ep_r: -845\n",
      "W_1 Ep: 303 | Ep_r: -838\n",
      "W_2 Ep: 304 | Ep_r: -827\n",
      "W_0 Ep: 305 | Ep_r: -811\n",
      "W_3 Ep: 306 | Ep_r: -821\n",
      "W_1 Ep: 307 | Ep_r: -848\n",
      "W_2 Ep: 308 | Ep_r: -869\n",
      "W_0 Ep: 309 | Ep_r: -890\n",
      "W_3 Ep: 310 | Ep_r: -906\n",
      "W_1 Ep: 311 | Ep_r: -909\n",
      "W_2 Ep: 312 | Ep_r: -889\n",
      "W_0 Ep: 313 | Ep_r: -881\n",
      "W_3 Ep: 314 | Ep_r: -862\n",
      "W_1 Ep: 315 | Ep_r: -852\n",
      "W_2 Ep: 316 | Ep_r: -866\n",
      "W_0 Ep: 317 | Ep_r: -869\n",
      "W_3 Ep: 318 | Ep_r: -876\n",
      "W_1 Ep: 319 | Ep_r: -904\n",
      "W_2 Ep: 320 | Ep_r: -890\n",
      "W_0 Ep: 321 | Ep_r: -890\n",
      "W_3 Ep: 322 | Ep_r: -919\n",
      "W_1 Ep: 323 | Ep_r: -926\n",
      "W_2 Ep: 324 | Ep_r: -925\n",
      "W_0 Ep: 325 | Ep_r: -909\n",
      "W_3 Ep: 326 | Ep_r: -876\n",
      "W_1 Ep: 327 | Ep_r: -871\n",
      "W_2 Ep: 328 | Ep_r: -926\n",
      "W_0 Ep: 329 | Ep_r: -916\n",
      "W_3 Ep: 330 | Ep_r: -910\n",
      "W_1 Ep: 331 | Ep_r: -884\n",
      "W_2 Ep: 332 | Ep_r: -872\n",
      "W_0 Ep: 333 | Ep_r: -875\n",
      "W_3 Ep: 334 | Ep_r: -908\n",
      "W_1 Ep: 335 | Ep_r: -888\n",
      "W_2 Ep: 336 | Ep_r: -890\n",
      "W_0 Ep: 337 | Ep_r: -902\n",
      "W_3 Ep: 338 | Ep_r: -897\n",
      "W_1 Ep: 339 | Ep_r: -861\n",
      "W_2 Ep: 340 | Ep_r: -853\n",
      "W_0 Ep: 341 | Ep_r: -859\n",
      "W_3 Ep: 342 | Ep_r: -849\n",
      "W_1 Ep: 343 | Ep_r: -828\n",
      "W_2 Ep: 344 | Ep_r: -797\n",
      "W_0 Ep: 345 | Ep_r: -827\n",
      "W_3 Ep: 346 | Ep_r: -825\n",
      "W_1 Ep: 347 | Ep_r: -833\n",
      "W_2 Ep: 348 | Ep_r: -833\n",
      "W_0 Ep: 349 | Ep_r: -813\n",
      "W_3 Ep: 350 | Ep_r: -809\n",
      "W_1 Ep: 351 | Ep_r: -793\n",
      "W_2 Ep: 352 | Ep_r: -819\n",
      "W_0 Ep: 353 | Ep_r: -818\n",
      "W_3 Ep: 354 | Ep_r: -827\n",
      "W_1 Ep: 355 | Ep_r: -852\n",
      "W_2 Ep: 356 | Ep_r: -833\n",
      "W_0 Ep: 357 | Ep_r: -827\n",
      "W_3 Ep: 358 | Ep_r: -808\n",
      "W_1 Ep: 359 | Ep_r: -817\n",
      "W_2 Ep: 360 | Ep_r: -814\n",
      "W_0 Ep: 361 | Ep_r: -811\n",
      "W_3 Ep: 362 | Ep_r: -821\n",
      "W_1 Ep: 363 | Ep_r: -798\n",
      "W_2 Ep: 364 | Ep_r: -809\n",
      "W_0 Ep: 365 | Ep_r: -817\n",
      "W_3 Ep: 366 | Ep_r: -828\n",
      "W_1 Ep: 367 | Ep_r: -811\n",
      "W_2 Ep: 368 | Ep_r: -823\n",
      "W_0 Ep: 369 | Ep_r: -834\n",
      "W_3 Ep: 370 | Ep_r: -802\n",
      "W_1 Ep: 371 | Ep_r: -799\n",
      "W_2 Ep: 372 | Ep_r: -777\n",
      "W_0 Ep: 373 | Ep_r: -777\n",
      "W_3 Ep: 374 | Ep_r: -778\n",
      "W_1 Ep: 375 | Ep_r: -816\n",
      "W_2 Ep: 376 | Ep_r: -827\n",
      "W_0 Ep: 377 | Ep_r: -809\n",
      "W_3 Ep: 378 | Ep_r: -793\n",
      "W_2 Ep: 379 | Ep_r: -798\n",
      "W_1 Ep: 380 | Ep_r: -806\n",
      "W_0 Ep: 381 | Ep_r: -803\n",
      "W_3 Ep: 382 | Ep_r: -775\n",
      "W_1 Ep: 383 | Ep_r: -793\n",
      "W_2 Ep: 384 | Ep_r: -783\n",
      "W_0 Ep: 385 | Ep_r: -796\n",
      "W_3 Ep: 386 | Ep_r: -778\n",
      "W_1 Ep: 387 | Ep_r: -764\n",
      "W_2 Ep: 388 | Ep_r: -765\n",
      "W_0 Ep: 389 | Ep_r: -753\n",
      "W_3 Ep: 390 | Ep_r: -755\n",
      "W_1 Ep: 391 | Ep_r: -740\n",
      "W_2 Ep: 392 | Ep_r: -765\n",
      "W_0 Ep: 393 | Ep_r: -776\n",
      "W_3 Ep: 394 | Ep_r: -762\n",
      "W_1 Ep: 395 | Ep_r: -725\n",
      "W_2 Ep: 396 | Ep_r: -777\n",
      "W_0 Ep: 397 | Ep_r: -765\n",
      "W_3 Ep: 398 | Ep_r: -780\n",
      "W_1 Ep: 399 | Ep_r: -761\n",
      "W_2 Ep: 400 | Ep_r: -784\n",
      "W_0 Ep: 401 | Ep_r: -784\n",
      "W_3 Ep: 402 | Ep_r: -792\n",
      "W_1 Ep: 403 | Ep_r: -781\n",
      "W_2 Ep: 404 | Ep_r: -769\n",
      "W_0 Ep: 405 | Ep_r: -770\n",
      "W_3 Ep: 406 | Ep_r: -771\n",
      "W_1 Ep: 407 | Ep_r: -759\n",
      "W_2 Ep: 408 | Ep_r: -791\n",
      "W_0 Ep: 409 | Ep_r: -795\n",
      "W_3 Ep: 410 | Ep_r: -803\n",
      "W_1 Ep: 411 | Ep_r: -775\n",
      "W_2 Ep: 412 | Ep_r: -774\n",
      "W_0 Ep: 413 | Ep_r: -786\n",
      "W_3 Ep: 414 | Ep_r: -795\n",
      "W_1 Ep: 415 | Ep_r: -819\n",
      "W_2 Ep: 416 | Ep_r: -827\n",
      "W_0 Ep: 417 | Ep_r: -825\n",
      "W_3 Ep: 418 | Ep_r: -833\n",
      "W_1 Ep: 419 | Ep_r: -815\n",
      "W_2 Ep: 420 | Ep_r: -799\n",
      "W_0 Ep: 421 | Ep_r: -795\n",
      "W_3 Ep: 422 | Ep_r: -799\n",
      "W_1 Ep: 423 | Ep_r: -784\n",
      "W_2 Ep: 424 | Ep_r: -787\n",
      "W_0 Ep: 425 | Ep_r: -806\n",
      "W_3 Ep: 426 | Ep_r: -817\n",
      "W_1 Ep: 427 | Ep_r: -789\n",
      "W_2 Ep: 428 | Ep_r: -775\n",
      "W_0 Ep: 429 | Ep_r: -775\n",
      "W_3 Ep: 430 | Ep_r: -775\n",
      "W_2 Ep: 431 | Ep_r: -777\n",
      "W_1 Ep: 432 | Ep_r: -794\n",
      "W_0 Ep: 433 | Ep_r: -792\n",
      "W_3 Ep: 434 | Ep_r: -804\n",
      "W_1 Ep: 435 | Ep_r: -800\n",
      "W_2 Ep: 436 | Ep_r: -800\n",
      "W_0 Ep: 437 | Ep_r: -803\n",
      "W_3 Ep: 438 | Ep_r: -821\n",
      "W_2 Ep: 439 | Ep_r: -840\n",
      "W_1 Ep: 440 | Ep_r: -822\n",
      "W_0 Ep: 441 | Ep_r: -838\n",
      "W_3 Ep: 442 | Ep_r: -806\n",
      "W_1 Ep: 443 | Ep_r: -790\n",
      "W_2 Ep: 444 | Ep_r: -791\n",
      "W_0 Ep: 445 | Ep_r: -777\n",
      "W_3 Ep: 446 | Ep_r: -799\n",
      "W_1 Ep: 447 | Ep_r: -792\n",
      "W_2 Ep: 448 | Ep_r: -793\n",
      "W_0 Ep: 449 | Ep_r: -753\n",
      "W_3 Ep: 450 | Ep_r: -772\n",
      "W_2 Ep: 451 | Ep_r: -789\n",
      "W_1 Ep: 452 | Ep_r: -787\n",
      "W_0 Ep: 453 | Ep_r: -786\n",
      "W_3 Ep: 454 | Ep_r: -809\n",
      "W_1 Ep: 455 | Ep_r: -795\n",
      "W_2 Ep: 456 | Ep_r: -781\n",
      "W_0 Ep: 457 | Ep_r: -804\n",
      "W_3 Ep: 458 | Ep_r: -775\n",
      "W_1 Ep: 459 | Ep_r: -775\n",
      "W_2 Ep: 460 | Ep_r: -757\n",
      "W_0 Ep: 461 | Ep_r: -746\n",
      "W_3 Ep: 462 | Ep_r: -756\n",
      "W_1 Ep: 463 | Ep_r: -749\n",
      "W_2 Ep: 464 | Ep_r: -766\n",
      "W_0 Ep: 465 | Ep_r: -754\n",
      "W_3 Ep: 466 | Ep_r: -785\n",
      "W_1 Ep: 467 | Ep_r: -745\n",
      "W_2 Ep: 468 | Ep_r: -764\n",
      "W_0 Ep: 469 | Ep_r: -772\n",
      "W_3 Ep: 470 | Ep_r: -760\n",
      "W_1 Ep: 471 | Ep_r: -767\n",
      "W_2 Ep: 472 | Ep_r: -772\n",
      "W_0 Ep: 473 | Ep_r: -735\n",
      "W_3 Ep: 474 | Ep_r: -722\n",
      "W_1 Ep: 475 | Ep_r: -746\n",
      "W_2 Ep: 476 | Ep_r: -723\n",
      "W_0 Ep: 477 | Ep_r: -704\n",
      "W_3W_1  Ep: 478 | Ep_r: -683\n",
      "Ep: 478 | Ep_r: -672\n",
      "W_2 Ep: 480 | Ep_r: -667\n",
      "W_0 Ep: 481 | Ep_r: -661\n",
      "W_1 Ep: 482 | Ep_r: -673\n",
      "W_3 Ep: 483 | Ep_r: -710\n",
      "W_2 Ep: 484 | Ep_r: -724\n",
      "W_0 Ep: 485 | Ep_r: -691\n",
      "W_1 Ep: 486 | Ep_r: -700\n",
      "W_3 Ep: 487 | Ep_r: -695\n",
      "W_2 Ep: 488 | Ep_r: -714\n",
      "W_0 Ep: 489 | Ep_r: -722\n",
      "W_1 Ep: 490 | Ep_r: -718\n",
      "W_3 Ep: 491 | Ep_r: -704\n",
      "W_2 Ep: 492 | Ep_r: -686\n",
      "W_0 Ep: 493 | Ep_r: -711\n",
      "W_1 Ep: 494 | Ep_r: -684\n",
      "W_3 Ep: 495 | Ep_r: -660\n",
      "W_2 Ep: 496 | Ep_r: -658\n",
      "W_1 Ep: 497 | Ep_r: -643\n",
      "W_0 Ep: 498 | Ep_r: -656\n",
      "W_3 Ep: 499 | Ep_r: -647\n",
      "W_2 Ep: 500 | Ep_r: -664\n",
      "W_0 Ep: 501 | Ep_r: -662\n",
      "W_1 Ep: 502 | Ep_r: -696\n",
      "W_3 Ep: 503 | Ep_r: -666\n",
      "W_2 Ep: 504 | Ep_r: -700\n",
      "W_1W_0  Ep: 505 | Ep_r: -690\n",
      "Ep: 505 | Ep_r: -724\n",
      "W_3 Ep: 507 | Ep_r: -674\n",
      "W_2 Ep: 508 | Ep_r: -685\n",
      "W_1 Ep: 509 | Ep_r: -699\n",
      "W_0 Ep: 510 | Ep_r: -672\n",
      "W_3 Ep: 511 | Ep_r: -657\n",
      "W_2 Ep: 512 | Ep_r: -643\n",
      "W_1 Ep: 513 | Ep_r: -630\n",
      "W_0 Ep: 514 | Ep_r: -632\n",
      "W_3 Ep: 515 | Ep_r: -607\n",
      "W_2 Ep: 516 | Ep_r: -588\n",
      "W_0W_1 Ep: 517 | Ep_r: -594\n",
      " Ep: 517 | Ep_r: -587\n",
      "W_3 Ep: 519 | Ep_r: -568\n",
      "W_2 Ep: 520 | Ep_r: -607\n",
      "W_0 Ep: 521 | Ep_r: -588\n",
      "W_1 Ep: 522 | Ep_r: -581\n",
      "W_3 Ep: 523 | Ep_r: -562\n",
      "W_2 Ep: 524 | Ep_r: -585\n",
      "W_0 Ep: 525 | Ep_r: -607\n",
      "W_1 Ep: 526 | Ep_r: -600\n",
      "W_3 Ep: 527 | Ep_r: -629\n",
      "W_2 Ep: 528 | Ep_r: -652\n",
      "W_0 Ep: 529 | Ep_r: -651\n",
      "W_1 Ep: 530 | Ep_r: -651\n",
      "W_3 Ep: 531 | Ep_r: -666\n",
      "W_2 Ep: 532 | Ep_r: -652\n",
      "W_0 Ep: 533 | Ep_r: -626\n",
      "W_1 Ep: 534 | Ep_r: -648\n",
      "W_3 Ep: 535 | Ep_r: -649\n",
      "W_2 Ep: 536 | Ep_r: -624\n",
      "W_0 Ep: 537 | Ep_r: -627\n",
      "W_1 Ep: 538 | Ep_r: -644\n",
      "W_3 Ep: 539 | Ep_r: -653\n",
      "W_2 Ep: 540 | Ep_r: -640\n",
      "W_0 Ep: 541 | Ep_r: -629\n",
      "W_1 Ep: 542 | Ep_r: -618\n",
      "W_3 Ep: 543 | Ep_r: -618\n",
      "W_2 Ep: 544 | Ep_r: -635\n",
      "W_0 Ep: 545 | Ep_r: -611\n",
      "W_1 Ep: 546 | Ep_r: -589\n",
      "W_3 Ep: 547 | Ep_r: -569\n",
      "W_2 Ep: 548 | Ep_r: -596\n",
      "W_0 Ep: 549 | Ep_r: -614\n",
      "W_1 Ep: 550 | Ep_r: -605\n",
      "W_3 Ep: 551 | Ep_r: -623\n",
      "W_2 Ep: 552 | Ep_r: -626\n",
      "W_0 Ep: 553 | Ep_r: -616\n",
      "W_1 Ep: 554 | Ep_r: -594\n",
      "W_3 Ep: 555 | Ep_r: -615\n",
      "W_2 Ep: 556 | Ep_r: -579\n",
      "W_0 Ep: 557 | Ep_r: -606\n",
      "W_3 Ep: 558 | Ep_r: -559\n",
      "W_1 Ep: 559 | Ep_r: -566\n",
      "W_2 Ep: 560 | Ep_r: -522\n",
      "W_0 Ep: 561 | Ep_r: -509\n",
      "W_3 Ep: 562 | Ep_r: -521\n",
      "W_1 Ep: 563 | Ep_r: -509\n",
      "W_2 Ep: 564 | Ep_r: -524\n",
      "W_0 Ep: 565 | Ep_r: -563\n",
      "W_3 Ep: 566 | Ep_r: -559\n",
      "W_1 Ep: 567 | Ep_r: -542\n",
      "W_2 Ep: 568 | Ep_r: -501\n",
      "W_0 Ep: 569 | Ep_r: -503\n",
      "W_3 Ep: 570 | Ep_r: -505\n",
      "W_1 Ep: 571 | Ep_r: -502\n",
      "W_2 Ep: 572 | Ep_r: -491\n",
      "W_0 Ep: 573 | Ep_r: -498\n",
      "W_3 Ep: 574 | Ep_r: -500\n",
      "W_1 Ep: 575 | Ep_r: -525\n",
      "W_2 Ep: 576 | Ep_r: -537\n",
      "W_0 Ep: 577 | Ep_r: -565\n",
      "W_3 Ep: 578 | Ep_r: -561\n",
      "W_1 Ep: 579 | Ep_r: -575\n",
      "W_2 Ep: 580 | Ep_r: -590\n",
      "W_0 Ep: 581 | Ep_r: -621\n",
      "W_3 Ep: 582 | Ep_r: -628\n",
      "W_1 Ep: 583 | Ep_r: -616\n",
      "W_2 Ep: 584 | Ep_r: -633\n",
      "W_0 Ep: 585 | Ep_r: -623\n",
      "W_3 Ep: 586 | Ep_r: -635\n",
      "W_1 Ep: 587 | Ep_r: -612\n",
      "W_2 Ep: 588 | Ep_r: -616\n",
      "W_0 Ep: 589 | Ep_r: -621\n",
      "W_3 Ep: 590 | Ep_r: -658\n",
      "W_1 Ep: 591 | Ep_r: -650\n",
      "W_2 Ep: 592 | Ep_r: -637\n",
      "W_0 Ep: 593 | Ep_r: -599\n",
      "W_1 Ep: 594 | Ep_r: -604\n",
      "W_3 Ep: 595 | Ep_r: -636\n",
      "W_2 Ep: 596 | Ep_r: -598\n",
      "W_0 Ep: 597 | Ep_r: -552\n",
      "W_1 Ep: 598 | Ep_r: -523\n",
      "W_3 Ep: 599 | Ep_r: -564\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_2 Ep: 600 | Ep_r: -574\n",
      "W_0 Ep: 601 | Ep_r: -572\n",
      "W_3 Ep: 602 | Ep_r: -570\n",
      "W_1 Ep: 603 | Ep_r: -576\n",
      "W_2 Ep: 604 | Ep_r: -545\n",
      "W_0 Ep: 605 | Ep_r: -572\n",
      "W_3 Ep: 606 | Ep_r: -554\n",
      "W_1 Ep: 607 | Ep_r: -566\n",
      "W_2 Ep: 608 | Ep_r: -509\n",
      "W_0 Ep: 609 | Ep_r: -511\n",
      "W_3 Ep: 610 | Ep_r: -526\n",
      "W_1 Ep: 611 | Ep_r: -540\n",
      "W_2 Ep: 612 | Ep_r: -539\n",
      "W_0 Ep: 613 | Ep_r: -525\n",
      "W_3 Ep: 614 | Ep_r: -525\n",
      "W_1 Ep: 615 | Ep_r: -511\n",
      "W_2 Ep: 616 | Ep_r: -539\n",
      "W_0 Ep: 617 | Ep_r: -508\n",
      "W_3 Ep: 618 | Ep_r: -541\n",
      "W_1 Ep: 619 | Ep_r: -558\n",
      "W_2 Ep: 620 | Ep_r: -555\n",
      "W_0 Ep: 621 | Ep_r: -526\n",
      "W_3 Ep: 622 | Ep_r: -553\n",
      "W_1 Ep: 623 | Ep_r: -551\n",
      "W_2 Ep: 624 | Ep_r: -561\n",
      "W_0 Ep: 625 | Ep_r: -559\n",
      "W_3 Ep: 626 | Ep_r: -577\n",
      "W_1 Ep: 627 | Ep_r: -599\n",
      "W_2 Ep: 628 | Ep_r: -631\n",
      "W_0 Ep: 629 | Ep_r: -642\n",
      "W_3 Ep: 630 | Ep_r: -641\n",
      "W_1 Ep: 631 | Ep_r: -616\n",
      "W_2 Ep: 632 | Ep_r: -620\n",
      "W_0 Ep: 633 | Ep_r: -597\n",
      "W_3 Ep: 634 | Ep_r: -605\n",
      "W_1 Ep: 635 | Ep_r: -575\n",
      "W_2 Ep: 636 | Ep_r: -545\n",
      "W_0 Ep: 637 | Ep_r: -543\n",
      "W_3 Ep: 638 | Ep_r: -515\n",
      "W_1 Ep: 639 | Ep_r: -490\n",
      "W_0 Ep: 640 | Ep_r: -480\n",
      "W_2 Ep: 641 | Ep_r: -459\n",
      "W_3 Ep: 642 | Ep_r: -481\n",
      "W_1 Ep: 643 | Ep_r: -446\n",
      "W_2 Ep: 644 | Ep_r: -415\n",
      "W_0 Ep: 645 | Ep_r: -457\n",
      "W_3 Ep: 646 | Ep_r: -489\n",
      "W_1 Ep: 647 | Ep_r: -480\n",
      "W_2 Ep: 648 | Ep_r: -511\n",
      "W_0 Ep: 649 | Ep_r: -513\n",
      "W_3 Ep: 650 | Ep_r: -535\n",
      "W_1 Ep: 651 | Ep_r: -508\n",
      "W_0 Ep: 652 | Ep_r: -528\n",
      "W_2 Ep: 653 | Ep_r: -515\n",
      "W_3 Ep: 654 | Ep_r: -537\n",
      "W_1 Ep: 655 | Ep_r: -549\n",
      "W_2 Ep: 656 | Ep_r: -562\n",
      "W_0 Ep: 657 | Ep_r: -571\n",
      "W_1 Ep: 658 | Ep_r: -554\n",
      "W_3 Ep: 659 | Ep_r: -525\n",
      "W_2 Ep: 660 | Ep_r: -537\n",
      "W_0 Ep: 661 | Ep_r: -551\n",
      "W_1 Ep: 662 | Ep_r: -522\n",
      "W_3 Ep: 663 | Ep_r: -509\n",
      "W_2 Ep: 664 | Ep_r: -527\n",
      "W_0 Ep: 665 | Ep_r: -526\n",
      "W_1 Ep: 666 | Ep_r: -566\n",
      "W_3 Ep: 667 | Ep_r: -594\n",
      "W_2 Ep: 668 | Ep_r: -562\n",
      "W_0 Ep: 669 | Ep_r: -545\n",
      "W_1 Ep: 670 | Ep_r: -558\n",
      "W_3 Ep: 671 | Ep_r: -503\n",
      "W_2 Ep: 672 | Ep_r: -492\n",
      "W_0 Ep: 673 | Ep_r: -511\n",
      "W_1 Ep: 674 | Ep_r: -513\n",
      "W_3 Ep: 675 | Ep_r: -475\n",
      "W_2 Ep: 676 | Ep_r: -483\n",
      "W_0 Ep: 677 | Ep_r: -487\n",
      "W_1 Ep: 678 | Ep_r: -504\n",
      "W_3 Ep: 679 | Ep_r: -525\n",
      "W_2 Ep: 680 | Ep_r: -499\n",
      "W_0 Ep: 681 | Ep_r: -532\n",
      "W_3 Ep: 682 | Ep_r: -532\n",
      "W_1 Ep: 683 | Ep_r: -505\n",
      "W_2 Ep: 684 | Ep_r: -481\n",
      "W_0 Ep: 685 | Ep_r: -472\n",
      "W_3 Ep: 686 | Ep_r: -503\n",
      "W_1 Ep: 687 | Ep_r: -492\n",
      "W_2 Ep: 688 | Ep_r: -443\n",
      "W_0 Ep: 689 | Ep_r: -468\n",
      "W_1 Ep: 690 | Ep_r: -448\n",
      "W_3 Ep: 691 | Ep_r: -429\n",
      "W_2 Ep: 692 | Ep_r: -470\n",
      "W_0 Ep: 693 | Ep_r: -449\n",
      "W_3 Ep: 694 | Ep_r: -430\n",
      "W_1 Ep: 695 | Ep_r: -427\n",
      "W_2 Ep: 696 | Ep_r: -439\n",
      "W_0 Ep: 697 | Ep_r: -463\n",
      "W_3 Ep: 698 | Ep_r: -490\n",
      "W_1 Ep: 699 | Ep_r: -481\n",
      "W_2 Ep: 700 | Ep_r: -485\n",
      "W_0 Ep: 701 | Ep_r: -463\n",
      "W_3 Ep: 702 | Ep_r: -471\n",
      "W_1 Ep: 703 | Ep_r: -466\n",
      "W_2 Ep: 704 | Ep_r: -496\n",
      "W_0 Ep: 705 | Ep_r: -473\n",
      "W_3 Ep: 706 | Ep_r: -492\n",
      "W_1 Ep: 707 | Ep_r: -496\n",
      "W_2 Ep: 708 | Ep_r: -459\n",
      "W_0 Ep: 709 | Ep_r: -511\n",
      "W_3 Ep: 710 | Ep_r: -524\n",
      "W_2 Ep: 711 | Ep_r: -541\n",
      "W_1 Ep: 712 | Ep_r: -527\n",
      "W_0 Ep: 713 | Ep_r: -546\n",
      "W_3 Ep: 714 | Ep_r: -505\n",
      "W_2 Ep: 715 | Ep_r: -480\n",
      "W_1 Ep: 716 | Ep_r: -506\n",
      "W_0 Ep: 717 | Ep_r: -495\n",
      "W_3 Ep: 718 | Ep_r: -459\n",
      "W_2 Ep: 719 | Ep_r: -485\n",
      "W_1 Ep: 720 | Ep_r: -488\n",
      "W_0 Ep: 721 | Ep_r: -465\n",
      "W_3 Ep: 722 | Ep_r: -479\n",
      "W_1 Ep: 723 | Ep_r: -484\n",
      "W_2 Ep: 724 | Ep_r: -503\n",
      "W_0 Ep: 725 | Ep_r: -518\n",
      "W_3 Ep: 726 | Ep_r: -466\n",
      "W_1 Ep: 727 | Ep_r: -420\n",
      "W_2 Ep: 728 | Ep_r: -429\n",
      "W_0 Ep: 729 | Ep_r: -447\n",
      "W_3 Ep: 730 | Ep_r: -468\n",
      "W_1 Ep: 731 | Ep_r: -448\n",
      "W_2 Ep: 732 | Ep_r: -457\n",
      "W_0 Ep: 733 | Ep_r: -491\n",
      "W_3 Ep: 734 | Ep_r: -494\n",
      "W_1 Ep: 735 | Ep_r: -497\n",
      "W_2 Ep: 736 | Ep_r: -513\n",
      "W_0 Ep: 737 | Ep_r: -502\n",
      "W_3 Ep: 738 | Ep_r: -530\n",
      "W_1 Ep: 739 | Ep_r: -530\n",
      "W_2 Ep: 740 | Ep_r: -517\n",
      "W_0 Ep: 741 | Ep_r: -478\n",
      "W_3 Ep: 742 | Ep_r: -431\n",
      "W_1 Ep: 743 | Ep_r: -414\n",
      "W_2 Ep: 744 | Ep_r: -412\n",
      "W_0 Ep: 745 | Ep_r: -401\n",
      "W_3 Ep: 746 | Ep_r: -400\n",
      "W_1 Ep: 747 | Ep_r: -386\n",
      "W_2 Ep: 748 | Ep_r: -388\n",
      "W_0 Ep: 749 | Ep_r: -403\n",
      "W_3 Ep: 750 | Ep_r: -389\n",
      "W_2 Ep: 751 | Ep_r: -390\n",
      "W_1 Ep: 752 | Ep_r: -377\n",
      "W_0 Ep: 753 | Ep_r: -365\n",
      "W_3 Ep: 754 | Ep_r: -354\n",
      "W_2 Ep: 755 | Ep_r: -358\n",
      "W_1 Ep: 756 | Ep_r: -335\n",
      "W_0 Ep: 757 | Ep_r: -315\n",
      "W_3 Ep: 758 | Ep_r: -369\n",
      "W_2 Ep: 759 | Ep_r: -384\n",
      "W_1 Ep: 760 | Ep_r: -414\n",
      "W_0 Ep: 761 | Ep_r: -463\n",
      "W_3 Ep: 762 | Ep_r: -418\n",
      "W_2 Ep: 763 | Ep_r: -457\n",
      "W_1 Ep: 764 | Ep_r: -477\n",
      "W_0 Ep: 765 | Ep_r: -490\n",
      "W_3 Ep: 766 | Ep_r: -514\n",
      "W_2 Ep: 767 | Ep_r: -516\n",
      "W_1 Ep: 768 | Ep_r: -495\n",
      "W_0 Ep: 769 | Ep_r: -524\n",
      "W_3 Ep: 770 | Ep_r: -529\n",
      "W_2 Ep: 771 | Ep_r: -529\n",
      "W_1 Ep: 772 | Ep_r: -503\n",
      "W_0 Ep: 773 | Ep_r: -505\n",
      "W_3 Ep: 774 | Ep_r: -468\n",
      "W_2 Ep: 775 | Ep_r: -474\n",
      "W_1 Ep: 776 | Ep_r: -480\n",
      "W_0 Ep: 777 | Ep_r: -488\n",
      "W_3 Ep: 778 | Ep_r: -479\n",
      "W_2 Ep: 779 | Ep_r: -539\n",
      "W_1 Ep: 780 | Ep_r: -575\n",
      "W_0 Ep: 781 | Ep_r: -571\n",
      "W_3 Ep: 782 | Ep_r: -514\n",
      "W_2 Ep: 783 | Ep_r: -476\n",
      "W_1 Ep: 784 | Ep_r: -495\n",
      "W_0 Ep: 785 | Ep_r: -527\n",
      "W_3 Ep: 786 | Ep_r: -488\n",
      "W_2 Ep: 787 | Ep_r: -452\n",
      "W_1 Ep: 788 | Ep_r: -437\n",
      "W_0 Ep: 789 | Ep_r: -406\n",
      "W_3 Ep: 790 | Ep_r: -378\n",
      "W_2 Ep: 791 | Ep_r: -354\n",
      "W_1 Ep: 792 | Ep_r: -418\n",
      "W_0 Ep: 793 | Ep_r: -390\n",
      "W_3 Ep: 794 | Ep_r: -449\n",
      "W_2 Ep: 795 | Ep_r: -473\n",
      "W_1 Ep: 796 | Ep_r: -471\n",
      "W_0 Ep: 797 | Ep_r: -480\n",
      "W_3 Ep: 798 | Ep_r: -485\n",
      "W_2 Ep: 799 | Ep_r: -463\n",
      "W_1 Ep: 800 | Ep_r: -443\n",
      "W_0 Ep: 801 | Ep_r: -411\n",
      "W_3 Ep: 802 | Ep_r: -397\n",
      "W_2 Ep: 803 | Ep_r: -370\n",
      "W_1 Ep: 804 | Ep_r: -386\n",
      "W_0 Ep: 805 | Ep_r: -388\n",
      "W_3 Ep: 806 | Ep_r: -448\n",
      "W_2 Ep: 807 | Ep_r: -469\n",
      "W_1 Ep: 808 | Ep_r: -476\n",
      "W_0 Ep: 809 | Ep_r: -508\n",
      "W_3 Ep: 810 | Ep_r: -499\n",
      "W_2 Ep: 811 | Ep_r: -492\n",
      "W_1 Ep: 812 | Ep_r: -533\n",
      "W_0 Ep: 813 | Ep_r: -506\n",
      "W_3 Ep: 814 | Ep_r: -536\n",
      "W_2 Ep: 815 | Ep_r: -522\n",
      "W_1 Ep: 816 | Ep_r: -470\n",
      "W_0 Ep: 817 | Ep_r: -478\n",
      "W_3 Ep: 818 | Ep_r: -456\n",
      "W_2 Ep: 819 | Ep_r: -424\n",
      "W_1 Ep: 820 | Ep_r: -475\n",
      "W_0 Ep: 821 | Ep_r: -481\n",
      "W_2 Ep: 822 | Ep_r: -499\n",
      "W_3 Ep: 823 | Ep_r: -529\n",
      "W_1 Ep: 824 | Ep_r: -547\n",
      "W_0 Ep: 825 | Ep_r: -506\n",
      "W_2 Ep: 826 | Ep_r: -469\n",
      "W_3 Ep: 827 | Ep_r: -462\n",
      "W_1 Ep: 828 | Ep_r: -495\n",
      "W_0 Ep: 829 | Ep_r: -485\n",
      "W_2 Ep: 830 | Ep_r: -463\n",
      "W_3 Ep: 831 | Ep_r: -483\n",
      "W_1 Ep: 832 | Ep_r: -488\n",
      "W_0 Ep: 833 | Ep_r: -505\n",
      "W_2 Ep: 834 | Ep_r: -455\n",
      "W_3 Ep: 835 | Ep_r: -436\n",
      "W_1 Ep: 836 | Ep_r: -418\n",
      "W_0 Ep: 837 | Ep_r: -445\n",
      "W_2 Ep: 838 | Ep_r: -456\n",
      "W_3 Ep: 839 | Ep_r: -465\n",
      "W_1 Ep: 840 | Ep_r: -473\n",
      "W_0 Ep: 841 | Ep_r: -451\n",
      "W_2 Ep: 842 | Ep_r: -432\n",
      "W_3 Ep: 843 | Ep_r: -402\n",
      "W_1 Ep: 844 | Ep_r: -375\n",
      "W_0 Ep: 845 | Ep_r: -377\n",
      "W_2 Ep: 846 | Ep_r: -366\n",
      "W_3 Ep: 847 | Ep_r: -385\n",
      "W_1 Ep: 848 | Ep_r: -359\n",
      "W_0 Ep: 849 | Ep_r: -336\n",
      "W_2 Ep: 850 | Ep_r: -342\n",
      "W_3 Ep: 851 | Ep_r: -347\n",
      "W_1 Ep: 852 | Ep_r: -381\n",
      "W_0 Ep: 853 | Ep_r: -379\n",
      "W_2 Ep: 854 | Ep_r: -394\n",
      "W_3 Ep: 855 | Ep_r: -408\n",
      "W_0 Ep: 856 | Ep_r: -394\n",
      "W_1 Ep: 857 | Ep_r: -394\n",
      "W_2 Ep: 858 | Ep_r: -447\n",
      "W_3 Ep: 859 | Ep_r: -429\n",
      "W_1 Ep: 860 | Ep_r: -452\n",
      "W_0 Ep: 861 | Ep_r: -472\n",
      "W_2 Ep: 862 | Ep_r: -484\n",
      "W_3 Ep: 863 | Ep_r: -449\n",
      "W_1 Ep: 864 | Ep_r: -417\n",
      "W_0 Ep: 865 | Ep_r: -437\n",
      "W_2 Ep: 866 | Ep_r: -451\n",
      "W_3 Ep: 867 | Ep_r: -441\n",
      "W_1 Ep: 868 | Ep_r: -465\n",
      "W_0 Ep: 869 | Ep_r: -458\n",
      "W_2 Ep: 870 | Ep_r: -426\n",
      "W_1 Ep: 871 | Ep_r: -436\n",
      "W_3 Ep: 872 | Ep_r: -473\n",
      "W_0 Ep: 873 | Ep_r: -494\n",
      "W_2 Ep: 874 | Ep_r: -512\n",
      "W_1 Ep: 875 | Ep_r: -530\n",
      "W_3 Ep: 876 | Ep_r: -532\n",
      "W_0 Ep: 877 | Ep_r: -479\n",
      "W_2 Ep: 878 | Ep_r: -459\n",
      "W_1 Ep: 879 | Ep_r: -454\n",
      "W_3 Ep: 880 | Ep_r: -409\n",
      "W_0 Ep: 881 | Ep_r: -408\n",
      "W_2 Ep: 882 | Ep_r: -407\n",
      "W_1 Ep: 883 | Ep_r: -380\n",
      "W_3 Ep: 884 | Ep_r: -404\n",
      "W_0 Ep: 885 | Ep_r: -377\n",
      "W_2 Ep: 886 | Ep_r: -339\n",
      "W_1 Ep: 887 | Ep_r: -379\n",
      "W_3 Ep: 888 | Ep_r: -449\n",
      "W_0 Ep: 889 | Ep_r: -404\n",
      "W_2 Ep: 890 | Ep_r: -377\n",
      "W_1 Ep: 891 | Ep_r: -402\n",
      "W_3 Ep: 892 | Ep_r: -404\n",
      "W_0 Ep: 893 | Ep_r: -377\n",
      "W_2 Ep: 894 | Ep_r: -406\n",
      "W_1 Ep: 895 | Ep_r: -391\n",
      "W_3 Ep: 896 | Ep_r: -353\n",
      "W_0 Ep: 897 | Ep_r: -331\n",
      "W_2 Ep: 898 | Ep_r: -324\n",
      "W_1 Ep: 899 | Ep_r: -305\n",
      "W_3 Ep: 900 | Ep_r: -329\n",
      "W_0 Ep: 901 | Ep_r: -350\n",
      "W_2 Ep: 902 | Ep_r: -327\n",
      "W_1 Ep: 903 | Ep_r: -307\n",
      "W_3 Ep: 904 | Ep_r: -276\n",
      "W_0 Ep: 905 | Ep_r: -262\n",
      "W_2 Ep: 906 | Ep_r: -262\n",
      "W_3 Ep: 907 | Ep_r: -249\n",
      "W_1 Ep: 908 | Ep_r: -295\n",
      "W_0 Ep: 909 | Ep_r: -292\n",
      "W_2 Ep: 910 | Ep_r: -263\n",
      "W_3 Ep: 911 | Ep_r: -306\n",
      "W_1 Ep: 912 | Ep_r: -315\n",
      "W_0 Ep: 913 | Ep_r: -284\n",
      "W_2 Ep: 914 | Ep_r: -297\n",
      "W_3 Ep: 915 | Ep_r: -293\n",
      "W_1 Ep: 916 | Ep_r: -277\n",
      "W_0 Ep: 917 | Ep_r: -290\n",
      "W_2 Ep: 918 | Ep_r: -332\n",
      "W_3 Ep: 919 | Ep_r: -341\n",
      "W_1 Ep: 920 | Ep_r: -338\n",
      "W_0 Ep: 921 | Ep_r: -383\n",
      "W_2 Ep: 922 | Ep_r: -439\n",
      "W_1 Ep: 923 | Ep_r: -461\n",
      "W_0 Ep: 924 | Ep_r: -510\n",
      "W_3 Ep: 925 | Ep_r: -538\n",
      "W_2 Ep: 926 | Ep_r: -511\n",
      "W_1 Ep: 927 | Ep_r: -553\n",
      "W_3 Ep: 928 | Ep_r: -524\n",
      "W_0 Ep: 929 | Ep_r: -511\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_2 Ep: 930 | Ep_r: -540\n",
      "W_1 Ep: 931 | Ep_r: -541\n",
      "W_3 Ep: 932 | Ep_r: -541\n",
      "W_0 Ep: 933 | Ep_r: -582\n",
      "W_2 Ep: 934 | Ep_r: -595\n",
      "W_1 Ep: 935 | Ep_r: -549\n",
      "W_0 Ep: 936 | Ep_r: -561\n",
      "W_3 Ep: 937 | Ep_r: -574\n",
      "W_2 Ep: 938 | Ep_r: -594\n",
      "W_1 Ep: 939 | Ep_r: -614\n",
      "W_0 Ep: 940 | Ep_r: -566\n",
      "W_3 Ep: 941 | Ep_r: -600\n",
      "W_2 Ep: 942 | Ep_r: -630\n",
      "W_1 Ep: 943 | Ep_r: -630\n",
      "W_0 Ep: 944 | Ep_r: -607\n",
      "W_3 Ep: 945 | Ep_r: -599\n",
      "W_2 Ep: 946 | Ep_r: -580\n",
      "W_1 Ep: 947 | Ep_r: -584\n",
      "W_0 Ep: 948 | Ep_r: -580\n",
      "W_3 Ep: 949 | Ep_r: -548\n",
      "W_1 Ep: 950 | Ep_r: -507\n",
      "W_2 Ep: 951 | Ep_r: -495\n",
      "W_3 Ep: 952 | Ep_r: -506\n",
      "W_0 Ep: 953 | Ep_r: -496\n",
      "W_1 Ep: 954 | Ep_r: -472\n",
      "W_2 Ep: 955 | Ep_r: -479\n",
      "W_0 Ep: 956 | Ep_r: -458\n",
      "W_3 Ep: 957 | Ep_r: -438\n",
      "W_2 Ep: 958 | Ep_r: -421\n",
      "W_1 Ep: 959 | Ep_r: -392\n",
      "W_0 Ep: 960 | Ep_r: -409\n",
      "W_3 Ep: 961 | Ep_r: -422\n",
      "W_2 Ep: 962 | Ep_r: -461\n",
      "W_1 Ep: 963 | Ep_r: -468\n",
      "W_0 Ep: 964 | Ep_r: -448\n",
      "W_3 Ep: 965 | Ep_r: -430\n",
      "W_2 Ep: 966 | Ep_r: -413\n",
      "W_1 Ep: 967 | Ep_r: -432\n",
      "W_0 Ep: 968 | Ep_r: -444\n",
      "W_3 Ep: 969 | Ep_r: -442\n",
      "W_2 Ep: 970 | Ep_r: -453\n",
      "W_1 Ep: 971 | Ep_r: -478\n",
      "W_0 Ep: 972 | Ep_r: -483\n",
      "W_3 Ep: 973 | Ep_r: -462\n",
      "W_2 Ep: 974 | Ep_r: -442\n",
      "W_1 Ep: 975 | Ep_r: -457\n",
      "W_0 Ep: 976 | Ep_r: -471\n",
      "W_3 Ep: 977 | Ep_r: -463\n",
      "W_2 Ep: 978 | Ep_r: -443\n",
      "W_1 Ep: 979 | Ep_r: -425\n",
      "W_0 Ep: 980 | Ep_r: -396\n",
      "W_3 Ep: 981 | Ep_r: -370\n",
      "W_2 Ep: 982 | Ep_r: -359\n",
      "W_1 Ep: 983 | Ep_r: -350\n",
      "W_3 Ep: 984 | Ep_r: -371\n",
      "W_0 Ep: 985 | Ep_r: -347\n",
      "W_2 Ep: 986 | Ep_r: -313\n",
      "W_1 Ep: 987 | Ep_r: -347\n",
      "W_3 Ep: 988 | Ep_r: -338\n",
      "W_0 Ep: 989 | Ep_r: -344\n",
      "W_2 Ep: 990 | Ep_r: -324\n",
      "W_1 Ep: 991 | Ep_r: -308\n",
      "W_3 Ep: 992 | Ep_r: -290\n",
      "W_0 Ep: 993 | Ep_r: -288\n",
      "W_2 Ep: 994 | Ep_r: -259\n",
      "W_1 Ep: 995 | Ep_r: -273\n",
      "W_3 Ep: 996 | Ep_r: -313\n",
      "W_0 Ep: 997 | Ep_r: -323\n",
      "W_2 Ep: 998 | Ep_r: -387\n",
      "W_1 Ep: 999 | Ep_r: -415\n",
      "W_3 Ep: 1000 | Ep_r: -387\n",
      "W_0 Ep: 1001 | Ep_r: -387\n",
      "W_2 Ep: 1002 | Ep_r: -382\n",
      "W_1 Ep: 1003 | Ep_r: -395\n",
      "W_3 Ep: 1004 | Ep_r: -465\n",
      "W_0 Ep: 1005 | Ep_r: -418\n",
      "W_2 Ep: 1006 | Ep_r: -377\n",
      "W_1 Ep: 1007 | Ep_r: -422\n",
      "W_3 Ep: 1008 | Ep_r: -406\n",
      "W_0 Ep: 1009 | Ep_r: -445\n",
      "W_2 Ep: 1010 | Ep_r: -445\n",
      "W_1 Ep: 1011 | Ep_r: -427\n",
      "W_3 Ep: 1012 | Ep_r: -449\n",
      "W_0 Ep: 1013 | Ep_r: -466\n",
      "W_2 Ep: 1014 | Ep_r: -487\n",
      "W_1 Ep: 1015 | Ep_r: -479\n",
      "W_3 Ep: 1016 | Ep_r: -444\n",
      "W_0 Ep: 1017 | Ep_r: -453\n",
      "W_2 Ep: 1018 | Ep_r: -421\n",
      "W_1 Ep: 1019 | Ep_r: -379\n",
      "W_3 Ep: 1020 | Ep_r: -404\n",
      "W_0 Ep: 1021 | Ep_r: -405\n",
      "W_2 Ep: 1022 | Ep_r: -406\n",
      "W_1 Ep: 1023 | Ep_r: -391\n",
      "W_3 Ep: 1024 | Ep_r: -410\n",
      "W_0 Ep: 1025 | Ep_r: -382\n",
      "W_2 Ep: 1026 | Ep_r: -405\n",
      "W_1 Ep: 1027 | Ep_r: -392\n",
      "W_3 Ep: 1028 | Ep_r: -393\n",
      "W_0 Ep: 1029 | Ep_r: -380\n",
      "W_2 Ep: 1030 | Ep_r: -355\n",
      "W_1 Ep: 1031 | Ep_r: -346\n",
      "W_3 Ep: 1032 | Ep_r: -390\n",
      "W_0 Ep: 1033 | Ep_r: -377\n",
      "W_2 Ep: 1034 | Ep_r: -434\n",
      "W_3 Ep: 1035 | Ep_r: -403\n",
      "W_1 Ep: 1036 | Ep_r: -376\n",
      "W_0 Ep: 1037 | Ep_r: -402\n",
      "W_2 Ep: 1038 | Ep_r: -375\n",
      "W_3 Ep: 1039 | Ep_r: -368\n",
      "W_1 Ep: 1040 | Ep_r: -358\n",
      "W_0 Ep: 1041 | Ep_r: -405\n",
      "W_2 Ep: 1042 | Ep_r: -432\n",
      "W_3 Ep: 1043 | Ep_r: -415\n",
      "W_1 Ep: 1044 | Ep_r: -415\n",
      "W_0 Ep: 1045 | Ep_r: -386\n",
      "W_2 Ep: 1046 | Ep_r: -361\n",
      "W_3 Ep: 1047 | Ep_r: -338\n",
      "W_1 Ep: 1048 | Ep_r: -359\n",
      "W_0 Ep: 1049 | Ep_r: -377\n",
      "W_2 Ep: 1050 | Ep_r: -366\n",
      "W_3 Ep: 1051 | Ep_r: -416\n",
      "W_1 Ep: 1052 | Ep_r: -401\n",
      "W_0 Ep: 1053 | Ep_r: -373\n",
      "W_2 Ep: 1054 | Ep_r: -376\n",
      "W_3 Ep: 1055 | Ep_r: -378\n",
      "W_1 Ep: 1056 | Ep_r: -353\n",
      "W_0 Ep: 1057 | Ep_r: -373\n",
      "W_2 Ep: 1058 | Ep_r: -378\n",
      "W_3 Ep: 1059 | Ep_r: -340\n",
      "W_1 Ep: 1060 | Ep_r: -320\n",
      "W_0 Ep: 1061 | Ep_r: -328\n",
      "W_2 Ep: 1062 | Ep_r: -335\n",
      "W_3 Ep: 1063 | Ep_r: -382\n",
      "W_1 Ep: 1064 | Ep_r: -357\n",
      "W_0 Ep: 1065 | Ep_r: -375\n",
      "W_2 Ep: 1066 | Ep_r: -379\n",
      "W_3 Ep: 1067 | Ep_r: -420\n",
      "W_1 Ep: 1068 | Ep_r: -392\n",
      "W_0 Ep: 1069 | Ep_r: -451\n",
      "W_2 Ep: 1070 | Ep_r: -499\n",
      "W_3 Ep: 1071 | Ep_r: -488\n",
      "W_1 Ep: 1072 | Ep_r: -480\n",
      "W_0 Ep: 1073 | Ep_r: -446\n",
      "W_2 Ep: 1074 | Ep_r: -414\n",
      "W_3 Ep: 1075 | Ep_r: -469\n",
      "W_1 Ep: 1076 | Ep_r: -509\n",
      "W_0 Ep: 1077 | Ep_r: -538\n",
      "W_2 Ep: 1078 | Ep_r: -569\n",
      "W_3 Ep: 1079 | Ep_r: -591\n",
      "W_1 Ep: 1080 | Ep_r: -626\n",
      "W_0 Ep: 1081 | Ep_r: -646\n",
      "W_2 Ep: 1082 | Ep_r: -673\n",
      "W_3 Ep: 1083 | Ep_r: -632\n",
      "W_1 Ep: 1084 | Ep_r: -622\n",
      "W_0 Ep: 1085 | Ep_r: -602\n",
      "W_2 Ep: 1086 | Ep_r: -569\n",
      "W_3 Ep: 1087 | Ep_r: -588\n",
      "W_1 Ep: 1088 | Ep_r: -569\n",
      "W_0 Ep: 1089 | Ep_r: -588\n",
      "W_2 Ep: 1090 | Ep_r: -618\n",
      "W_3 Ep: 1091 | Ep_r: -625\n",
      "W_1 Ep: 1092 | Ep_r: -575\n",
      "W_0 Ep: 1093 | Ep_r: -518\n",
      "W_2 Ep: 1094 | Ep_r: -506\n",
      "W_3 Ep: 1095 | Ep_r: -522\n",
      "W_1 Ep: 1096 | Ep_r: -499\n",
      "W_0 Ep: 1097 | Ep_r: -502\n",
      "W_2 Ep: 1098 | Ep_r: -515\n",
      "W_3 Ep: 1099 | Ep_r: -464\n",
      "W_1 Ep: 1100 | Ep_r: -444\n",
      "W_0 Ep: 1101 | Ep_r: -426\n",
      "W_2 Ep: 1102 | Ep_r: -384\n",
      "W_3 Ep: 1103 | Ep_r: -385\n",
      "W_1 Ep: 1104 | Ep_r: -360\n",
      "W_0 Ep: 1105 | Ep_r: -337\n",
      "W_2 Ep: 1106 | Ep_r: -385\n",
      "W_3 Ep: 1107 | Ep_r: -359\n",
      "W_1 Ep: 1108 | Ep_r: -323\n",
      "W_0 Ep: 1109 | Ep_r: -344\n",
      "W_2 Ep: 1110 | Ep_r: -337\n",
      "W_3 Ep: 1111 | Ep_r: -317\n",
      "W_1 Ep: 1112 | Ep_r: -311\n",
      "W_0 Ep: 1113 | Ep_r: -320\n",
      "W_2 Ep: 1114 | Ep_r: -355\n",
      "W_3 Ep: 1115 | Ep_r: -345\n",
      "W_1 Ep: 1116 | Ep_r: -324\n",
      "W_0 Ep: 1117 | Ep_r: -332\n",
      "W_2 Ep: 1118 | Ep_r: -344\n",
      "W_3 Ep: 1119 | Ep_r: -336\n",
      "W_1 Ep: 1120 | Ep_r: -356\n",
      "W_0 Ep: 1121 | Ep_r: -321\n",
      "W_2 Ep: 1122 | Ep_r: -365\n",
      "W_3 Ep: 1123 | Ep_r: -355\n",
      "W_1 Ep: 1124 | Ep_r: -333\n",
      "W_0 Ep: 1125 | Ep_r: -339\n",
      "W_2 Ep: 1126 | Ep_r: -345\n",
      "W_3 Ep: 1127 | Ep_r: -337\n",
      "W_1 Ep: 1128 | Ep_r: -342\n",
      "W_0 Ep: 1129 | Ep_r: -321\n",
      "W_2 Ep: 1130 | Ep_r: -289\n",
      "W_3 Ep: 1131 | Ep_r: -261\n",
      "W_1 Ep: 1132 | Ep_r: -248\n",
      "W_0 Ep: 1133 | Ep_r: -262\n",
      "W_2 Ep: 1134 | Ep_r: -329\n",
      "W_3 Ep: 1135 | Ep_r: -380\n",
      "W_1 Ep: 1136 | Ep_r: -382\n",
      "W_0 Ep: 1137 | Ep_r: -384\n",
      "W_2 Ep: 1138 | Ep_r: -372\n",
      "W_3 Ep: 1139 | Ep_r: -348\n",
      "W_1 Ep: 1140 | Ep_r: -327\n",
      "W_0 Ep: 1141 | Ep_r: -307\n",
      "W_2 Ep: 1142 | Ep_r: -303\n",
      "W_3 Ep: 1143 | Ep_r: -316\n",
      "W_1 Ep: 1144 | Ep_r: -312\n",
      "W_0 Ep: 1145 | Ep_r: -281\n",
      "W_2 Ep: 1146 | Ep_r: -345\n",
      "W_3 Ep: 1147 | Ep_r: -311\n",
      "W_1 Ep: 1148 | Ep_r: -293\n",
      "W_0 Ep: 1149 | Ep_r: -351\n",
      "W_2 Ep: 1150 | Ep_r: -367\n",
      "W_3 Ep: 1151 | Ep_r: -357\n",
      "W_1 Ep: 1152 | Ep_r: -360\n",
      "W_0 Ep: 1153 | Ep_r: -377\n",
      "W_2 Ep: 1154 | Ep_r: -431\n",
      "W_3 Ep: 1155 | Ep_r: -401\n",
      "W_1 Ep: 1156 | Ep_r: -414\n",
      "W_0 Ep: 1157 | Ep_r: -436\n",
      "W_2 Ep: 1158 | Ep_r: -484\n",
      "W_3 Ep: 1159 | Ep_r: -462\n",
      "W_1 Ep: 1160 | Ep_r: -470\n",
      "W_0 Ep: 1161 | Ep_r: -449\n",
      "W_2 Ep: 1162 | Ep_r: -404\n",
      "W_3 Ep: 1163 | Ep_r: -439\n",
      "W_1 Ep: 1164 | Ep_r: -425\n",
      "W_0 Ep: 1165 | Ep_r: -396\n",
      "W_2 Ep: 1166 | Ep_r: -436\n",
      "W_3 Ep: 1167 | Ep_r: -418\n",
      "W_1 Ep: 1168 | Ep_r: -377\n",
      "W_0 Ep: 1169 | Ep_r: -352\n",
      "W_2 Ep: 1170 | Ep_r: -372\n",
      "W_3 Ep: 1171 | Ep_r: -362\n",
      "W_1 Ep: 1172 | Ep_r: -366\n",
      "W_0 Ep: 1173 | Ep_r: -419\n",
      "W_2 Ep: 1174 | Ep_r: -404\n",
      "W_3 Ep: 1175 | Ep_r: -376\n",
      "W_1 Ep: 1176 | Ep_r: -431\n",
      "W_0 Ep: 1177 | Ep_r: -401\n",
      "W_2 Ep: 1178 | Ep_r: -443\n",
      "W_3 Ep: 1179 | Ep_r: -441\n",
      "W_1 Ep: 1180 | Ep_r: -410\n",
      "W_0 Ep: 1181 | Ep_r: -421\n",
      "W_2 Ep: 1182 | Ep_r: -405\n",
      "W_3 Ep: 1183 | Ep_r: -471\n",
      "W_1 Ep: 1184 | Ep_r: -482\n",
      "W_0 Ep: 1185 | Ep_r: -434\n",
      "W_2 Ep: 1186 | Ep_r: -419\n",
      "W_3 Ep: 1187 | Ep_r: -416\n",
      "W_1 Ep: 1188 | Ep_r: -375\n",
      "W_0 Ep: 1189 W_2| Ep_r: -391\n",
      " Ep: 1189 | Ep_r: -378\n",
      "W_3 Ep: 1191 | Ep_r: -354\n",
      "W_1 Ep: 1192 | Ep_r: -346\n",
      "W_2 Ep: 1193 | Ep_r: -324\n",
      "W_0 Ep: 1194 | Ep_r: -335\n",
      "W_3 Ep: 1195 | Ep_r: -389\n",
      "W_1 Ep: 1196 | Ep_r: -402\n",
      "W_2 Ep: 1197 | Ep_r: -420\n",
      "W_0 Ep: 1198 | Ep_r: -434\n",
      "W_3 Ep: 1199 | Ep_r: -447\n",
      "W_1 Ep: 1200 | Ep_r: -461\n",
      "W_2 Ep: 1201 | Ep_r: -415\n",
      "W_0 Ep: 1202 | Ep_r: -400\n",
      "W_3 Ep: 1203 | Ep_r: -415\n",
      "W_2 Ep: 1204 | Ep_r: -433\n",
      "W_1 Ep: 1205 | Ep_r: -403\n",
      "W_0 Ep: 1206 | Ep_r: -376\n",
      "W_3 Ep: 1207 | Ep_r: -392\n",
      "W_2 Ep: 1208 | Ep_r: -380\n",
      "W_1 Ep: 1209 | Ep_r: -405\n",
      "W_0 Ep: 1210 | Ep_r: -430\n",
      "W_3 Ep: 1211 | Ep_r: -413\n",
      "W_2 Ep: 1212 | Ep_r: -424\n",
      "W_1 Ep: 1213 | Ep_r: -444\n",
      "W_0 Ep: 1214 | Ep_r: -440\n",
      "W_3 Ep: 1215 | Ep_r: -450\n",
      "W_2 Ep: 1216 | Ep_r: -418\n",
      "W_1 Ep: 1217 | Ep_r: -390\n",
      "W_0 Ep: 1218 | Ep_r: -364\n",
      "W_3 Ep: 1219 | Ep_r: -384\n",
      "W_2 Ep: 1220 | Ep_r: -358\n",
      "W_0 Ep: 1221 | Ep_r: -363\n",
      "W_1 Ep: 1222 | Ep_r: -366\n",
      "W_3 Ep: 1223 | Ep_r: -343\n",
      "W_2 Ep: 1224 | Ep_r: -322\n",
      "W_1 Ep: 1225 | Ep_r: -316\n",
      "W_0 Ep: 1226 | Ep_r: -297\n",
      "W_3 Ep: 1227 | Ep_r: -294\n",
      "W_2 Ep: 1228 | Ep_r: -291\n",
      "W_1 Ep: 1229 | Ep_r: -340\n",
      "W_0 Ep: 1230 | Ep_r: -346\n",
      "W_3 Ep: 1231 | Ep_r: -364\n",
      "W_2 Ep: 1232 | Ep_r: -341\n",
      "W_1 Ep: 1233 | Ep_r: -320\n",
      "W_0 Ep: 1234 | Ep_r: -301\n",
      "W_3 Ep: 1235 | Ep_r: -284\n",
      "W_2 Ep: 1236 | Ep_r: -282\n",
      "W_1 Ep: 1237 | Ep_r: -280\n",
      "W_0 Ep: 1238 | Ep_r: -309\n",
      "W_2 Ep: 1239 | Ep_r: -340\n",
      "W_3 Ep: 1240 | Ep_r: -381\n",
      "W_1 Ep: 1241 | Ep_r: -382\n",
      "W_0 Ep: 1242 | Ep_r: -357\n",
      "W_2 Ep: 1243 | Ep_r: -361\n",
      "W_3 Ep: 1244 | Ep_r: -352\n",
      "W_1 Ep: 1245 | Ep_r: -330\n",
      "W_0 Ep: 1246 | Ep_r: -310\n",
      "W_2W_3 Ep: 1247 | Ep_r: -299\n",
      " Ep: 1247 | Ep_r: -332\n",
      "W_1 Ep: 1249 | Ep_r: -296\n",
      "W_0 Ep: 1250 | Ep_r: -279\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_3 Ep: 1251 | Ep_r: -264\n",
      "W_2 Ep: 1252 | Ep_r: -297\n",
      "W_1 Ep: 1253 | Ep_r: -294\n",
      "W_0 Ep: 1254 | Ep_r: -322\n",
      "W_3 Ep: 1255 | Ep_r: -343\n",
      "W_2 Ep: 1256 | Ep_r: -336\n",
      "W_1 Ep: 1257 | Ep_r: -302\n",
      "W_0 Ep: 1258 | Ep_r: -350\n",
      "W_3 Ep: 1259 | Ep_r: -315\n",
      "W_2 Ep: 1260 | Ep_r: -297\n",
      "W_1 Ep: 1261 | Ep_r: -344\n",
      "W_0 Ep: 1262 | Ep_r: -337\n",
      "W_3 Ep: 1263 | Ep_r: -329\n",
      "W_2 Ep: 1264 | Ep_r: -381\n",
      "W_1 Ep: 1265 | Ep_r: -400\n",
      "W_0 Ep: 1266 | Ep_r: -453\n",
      "W_2 Ep: 1267 | Ep_r: -420\n",
      "W_3 Ep: 1268 | Ep_r: -431\n",
      "W_1 Ep: 1269 | Ep_r: -428\n",
      "W_0 Ep: 1270 | Ep_r: -426\n",
      "W_2 Ep: 1271 | Ep_r: -464\n",
      "W_3 Ep: 1272 | Ep_r: -459\n",
      "W_1 Ep: 1273 | Ep_r: -439\n",
      "W_0 Ep: 1274 | Ep_r: -475\n",
      "W_3 Ep: 1275 | Ep_r: -467\n",
      "W_2 Ep: 1276 | Ep_r: -449\n",
      "W_1 Ep: 1277 | Ep_r: -460\n",
      "W_0 Ep: 1278 | Ep_r: -485\n",
      "W_3 Ep: 1279 | Ep_r: -450\n",
      "W_2 Ep: 1280 | Ep_r: -420\n",
      "W_1 Ep: 1281 | Ep_r: -443\n",
      "W_0 Ep: 1282 | Ep_r: -480\n",
      "W_3 Ep: 1283 | Ep_r: -459\n",
      "W_2 Ep: 1284 | Ep_r: -490\n",
      "W_1 Ep: 1285 | Ep_r: -483\n",
      "W_0 Ep: 1286 | Ep_r: -476\n",
      "W_3 Ep: 1287 | Ep_r: -455\n",
      "W_2 Ep: 1288 | Ep_r: -501\n",
      "W_1 Ep: 1289 | Ep_r: -465\n",
      "W_0 Ep: 1290 | Ep_r: -461\n",
      "W_3W_2 Ep: 1291 | Ep_r: -475\n",
      " Ep: 1291 | Ep_r: -455\n",
      "W_1 Ep: 1293 | Ep_r: -482\n",
      "W_0 Ep: 1294 | Ep_r: -447\n",
      "W_2 Ep: 1295 | Ep_r: -403\n",
      "W_3 Ep: 1296 | Ep_r: -402\n",
      "W_1 Ep: 1297 | Ep_r: -374\n",
      "W_0 Ep: 1298 | Ep_r: -427\n",
      "W_3 Ep: 1299 | Ep_r: -410\n",
      "W_2 Ep: 1300 | Ep_r: -422\n",
      "W_1 Ep: 1301 | Ep_r: -419\n",
      "W_0 Ep: 1302 | Ep_r: -429\n",
      "W_3 Ep: 1303 | Ep_r: -413\n",
      "W_2 Ep: 1304 | Ep_r: -385\n",
      "W_1 Ep: 1305 | Ep_r: -373\n",
      "W_0 Ep: 1306 | Ep_r: -379\n",
      "W_2 Ep: 1307 | Ep_r: -354\n",
      "W_3 Ep: 1308 | Ep_r: -354\n",
      "W_1 Ep: 1309 | Ep_r: -332\n",
      "W_0 Ep: 1310 | Ep_r: -362\n",
      "W_2 Ep: 1311 | Ep_r: -353\n",
      "W_3 Ep: 1312 | Ep_r: -359\n",
      "W_1 Ep: 1313 | Ep_r: -364\n",
      "W_0 Ep: 1314 | Ep_r: -357\n",
      "W_2 Ep: 1315 | Ep_r: -348\n",
      "W_3 Ep: 1316 | Ep_r: -326\n",
      "W_1 Ep: 1317 | Ep_r: -320\n",
      "W_0 Ep: 1318 | Ep_r: -331\n",
      "W_2 Ep: 1319 | Ep_r: -343\n",
      "W_3 Ep: 1320 | Ep_r: -321\n",
      "W_1 Ep: 1321 | Ep_r: -381\n",
      "W_0 Ep: 1322 | Ep_r: -424\n",
      "W_2 Ep: 1323 | Ep_r: -463\n",
      "W_3 Ep: 1324 | Ep_r: -430\n",
      "W_1 Ep: 1325 | Ep_r: -427\n",
      "W_0 Ep: 1326 | Ep_r: -411\n",
      "W_2 Ep: 1327 | Ep_r: -452\n",
      "W_3 Ep: 1328 | Ep_r: -420\n",
      "W_1 Ep: 1329 | Ep_r: -405\n",
      "W_0 Ep: 1330 | Ep_r: -404\n",
      "W_2 Ep: 1331 | Ep_r: -390\n",
      "W_3 Ep: 1332 | Ep_r: -405\n",
      "W_1 Ep: 1333 | Ep_r: -378\n",
      "W_0 Ep: 1334 | Ep_r: -352\n",
      "W_2 Ep: 1335 | Ep_r: -358\n",
      "W_3 Ep: 1336 | Ep_r: -362\n",
      "W_1 Ep: 1337 | Ep_r: -339\n",
      "W_0 Ep: 1338 | Ep_r: -394\n",
      "W_3 Ep: 1339 | Ep_r: -424\n",
      "W_2 Ep: 1340 | Ep_r: -408\n",
      "W_1 Ep: 1341 | Ep_r: -446\n",
      "W_0 Ep: 1342 | Ep_r: -402\n",
      "W_3 Ep: 1343 | Ep_r: -401\n",
      "W_2 Ep: 1344 | Ep_r: -402\n",
      "W_1 Ep: 1345 | Ep_r: -389\n",
      "W_0 Ep: 1346 | Ep_r: -426\n",
      "W_3 Ep: 1347 | Ep_r: -425\n",
      "W_2 Ep: 1348 | Ep_r: -409\n",
      "W_1 Ep: 1349 | Ep_r: -381\n",
      "W_0 Ep: 1350 | Ep_r: -357\n",
      "W_3 Ep: 1351 | Ep_r: -321\n",
      "W_2 Ep: 1352 | Ep_r: -381\n",
      "W_1 Ep: 1353 | Ep_r: -356\n",
      "W_0 Ep: 1354 | Ep_r: -347\n",
      "W_3 Ep: 1355 | Ep_r: -326\n",
      "W_2 Ep: 1356 | Ep_r: -359\n",
      "W_1 Ep: 1357 | Ep_r: -389\n",
      "W_0 Ep: 1358 | Ep_r: -390\n",
      "W_3 Ep: 1359 | Ep_r: -364\n",
      "W_2 Ep: 1360 | Ep_r: -395\n",
      "W_1 Ep: 1361 | Ep_r: -395\n",
      "W_3 Ep: 1362 | Ep_r: -369\n",
      "W_0 Ep: 1363 | Ep_r: -345\n",
      "W_2 Ep: 1364 | Ep_r: -324\n",
      "W_1 Ep: 1365 | Ep_r: -334\n",
      "W_3 Ep: 1366 | Ep_r: -380\n",
      "W_0 Ep: 1367 | Ep_r: -355\n",
      "W_2 Ep: 1368 | Ep_r: -345\n",
      "W_1 Ep: 1369 | Ep_r: -324\n",
      "W_0 Ep: 1370 | Ep_r: -361\n",
      "W_3 Ep: 1371 | Ep_r: -325\n",
      "W_2 Ep: 1372 | Ep_r: -292\n",
      "W_1 Ep: 1373 | Ep_r: -263\n",
      "W_0 Ep: 1374 | Ep_r: -281\n",
      "W_3 Ep: 1375 | Ep_r: -279\n",
      "W_2 Ep: 1376 | Ep_r: -265\n",
      "W_1 Ep: 1377 | Ep_r: -331\n",
      "W_3 Ep: 1378 | Ep_r: -346\n",
      "W_0 Ep: 1379 | Ep_r: -337\n",
      "W_2 Ep: 1380 | Ep_r: -343\n",
      "W_1 Ep: 1381 | Ep_r: -309\n",
      "W_3 Ep: 1382 | Ep_r: -345\n",
      "W_0 Ep: 1383 | Ep_r: -357\n",
      "W_2 Ep: 1384 | Ep_r: -401\n",
      "W_1 Ep: 1385 | Ep_r: -387\n",
      "W_3 Ep: 1386 | Ep_r: -375\n",
      "W_0 Ep: 1387 | Ep_r: -351\n",
      "W_2 Ep: 1388 | Ep_r: -358\n",
      "W_1 Ep: 1389 | Ep_r: -323\n",
      "W_0 Ep: 1390 | Ep_r: -291\n",
      "W_3 Ep: 1391 | Ep_r: -323\n",
      "W_2 Ep: 1392 | Ep_r: -317\n",
      "W_1 Ep: 1393 | Ep_r: -362\n",
      "W_3 Ep: 1394 | Ep_r: -339\n",
      "W_0 Ep: 1395 | Ep_r: -373\n",
      "W_2 Ep: 1396 | Ep_r: -403\n",
      "W_1 Ep: 1397 | Ep_r: -430\n",
      "W_3 Ep: 1398 | Ep_r: -429\n",
      "W_0 Ep: 1399 | Ep_r: -401\n",
      "W_2 Ep: 1400 | Ep_r: -373\n",
      "W_1 Ep: 1401 | Ep_r: -363\n",
      "W_0 Ep: 1402 | Ep_r: -368\n",
      "W_3 Ep: 1403 | Ep_r: -358\n",
      "W_2 Ep: 1404 | Ep_r: -377\n",
      "W_1 Ep: 1405 | Ep_r: -421\n",
      "W_0 Ep: 1406 | Ep_r: -392\n",
      "W_3 Ep: 1407 | Ep_r: -424\n",
      "W_2 Ep: 1408 | Ep_r: -458\n",
      "W_1 Ep: 1409 | Ep_r: -425\n",
      "W_3 Ep: 1410 | Ep_r: -395\n",
      "W_0 Ep: 1411 | Ep_r: -369\n",
      "W_2 Ep: 1412 | Ep_r: -418\n",
      "W_1 Ep: 1413 | Ep_r: -389\n",
      "W_0 Ep: 1414 | Ep_r: -363\n",
      "W_3 Ep: 1415 | Ep_r: -394\n",
      "W_2 Ep: 1416 | Ep_r: -412\n",
      "W_1 Ep: 1417 | Ep_r: -437\n",
      "W_0 Ep: 1418 | Ep_r: -433\n",
      "W_3 Ep: 1419 | Ep_r: -403\n",
      "W_2 Ep: 1420 | Ep_r: -415\n",
      "W_1 Ep: 1421 | Ep_r: -400\n",
      "W_0 Ep: 1422 | Ep_r: -374\n",
      "W_3 Ep: 1423 | Ep_r: -425\n",
      "W_2 Ep: 1424 | Ep_r: -408\n",
      "W_1 Ep: 1425 | Ep_r: -380\n",
      "W_0 Ep: 1426 | Ep_r: -383\n",
      "W_3 Ep: 1427 | Ep_r: -359\n",
      "W_2 Ep: 1428 | Ep_r: -367\n",
      "W_1 Ep: 1429 | Ep_r: -343\n",
      "W_3 Ep: 1430 | Ep_r: -322\n",
      "W_0 Ep: 1431 | Ep_r: -343\n",
      "W_2 Ep: 1432 | Ep_r: -322\n",
      "W_1 Ep: 1433 | Ep_r: -310\n",
      "W_3 Ep: 1434 | Ep_r: -349\n",
      "W_0 Ep: 1435 | Ep_r: -341\n",
      "W_2 Ep: 1436 | Ep_r: -349\n",
      "W_1 Ep: 1437 | Ep_r: -354\n",
      "W_3 Ep: 1438 | Ep_r: -360\n",
      "W_0 Ep: 1439 | Ep_r: -351\n",
      "W_2 Ep: 1440 | Ep_r: -342\n",
      "W_1 Ep: 1441 | Ep_r: -378\n",
      "W_0 Ep: 1442 | Ep_r: -366\n",
      "W_3 Ep: 1443 | Ep_r: -369\n",
      "W_2 Ep: 1444 | Ep_r: -372\n",
      "W_1 Ep: 1445 | Ep_r: -335\n",
      "W_3 Ep: 1446 | Ep_r: -373\n",
      "W_0 Ep: 1447 | Ep_r: -404\n",
      "W_2 Ep: 1448 | Ep_r: -389\n",
      "W_1 Ep: 1449 | Ep_r: -377\n",
      "W_0 Ep: W_3 Ep: 1450 | Ep_r: -357\n",
      "1450 | Ep_r: -352\n",
      "W_2 Ep: 1452 | Ep_r: -362\n",
      "W_1 Ep: 1453 | Ep_r: -380\n",
      "W_0 Ep: 1454 | Ep_r: -355\n",
      "W_3 Ep: 1455 | Ep_r: -360\n",
      "W_2 Ep: 1456 | Ep_r: -350\n",
      "W_1 Ep: 1457 | Ep_r: -373\n",
      "W_0 Ep: 1458 | Ep_r: -375\n",
      "W_3 Ep: 1459 | Ep_r: -379\n",
      "W_2 Ep: 1460 | Ep_r: -381\n",
      "W_1 Ep: 1461 | Ep_r: -356\n",
      "W_3 Ep: 1462 | Ep_r: -359\n",
      "W_0 Ep: 1463 | Ep_r: -350\n",
      "W_2 Ep: 1464 | Ep_r: -328\n",
      "W_1 Ep: 1465 | Ep_r: -321\n",
      "W_0 Ep: 1466 | Ep_r: -343\n",
      "W_3 Ep: 1467 | Ep_r: -350\n",
      "W_2 Ep: 1468 | Ep_r: -328\n",
      "W_1 Ep: 1469 | Ep_r: -309\n",
      "W_0 Ep: 1470 | Ep_r: -318\n",
      "W_3 Ep: 1471 | Ep_r: -313\n",
      "W_2 Ep: 1472 | Ep_r: -334\n",
      "W_1 Ep: 1473 | Ep_r: -327\n",
      "W_0 Ep: 1474 | Ep_r: -308\n",
      "W_3 Ep: 1475 | Ep_r: -326\n",
      "W_2 Ep: 1476 | Ep_r: -332\n",
      "W_1 Ep: 1477 | Ep_r: -312\n",
      "W_0 Ep: 1478 | Ep_r: -294\n",
      "W_3 Ep: 1479 | Ep_r: -265\n",
      "W_2 Ep: 1480 | Ep_r: -252\n",
      "W_1 Ep: 1481 | Ep_r: -274\n",
      "W_0 Ep: 1482 | Ep_r: -287\n",
      "W_3 Ep: 1483 | Ep_r: -312\n",
      "W_2 Ep: 1484 | Ep_r: -322\n",
      "W_1 Ep: 1485 | Ep_r: -290\n",
      "W_0 Ep: 1486 | Ep_r: -288\n",
      "W_3 Ep: 1487 | Ep_r: -303\n",
      "W_2 Ep: 1488 | Ep_r: -343\n",
      "W_1 Ep: 1489 | Ep_r: -322\n",
      "W_0 Ep: 1490 | Ep_r: -330\n",
      "W_3 Ep: 1491 | Ep_r: -364\n",
      "W_2 Ep: 1492 | Ep_r: -341\n",
      "W_1 Ep: 1493 | Ep_r: -348\n",
      "W_0 Ep: 1494 | Ep_r: -353\n",
      "W_3 Ep: 1495 | Ep_r: -318\n",
      "W_2 Ep: 1496 | Ep_r: -299\n",
      "W_1 Ep: 1497 | Ep_r: -316\n",
      "W_3 Ep: 1498 | Ep_r: -340\n",
      "W_0 Ep: 1499 | Ep_r: -319\n",
      "W_2 Ep: 1500 | Ep_r: -301\n",
      "W_1 Ep: 1501 | Ep_r: -326\n",
      "W_3 Ep: 1502 | Ep_r: -306\n",
      "W_0 Ep: 1503 | Ep_r: -316\n",
      "W_2 Ep: 1504 | Ep_r: -351\n",
      "W_1 Ep: 1505 | Ep_r: -329\n",
      "W_0 Ep: 1506 | Ep_r: -296\n",
      "W_3 Ep: 1507 | Ep_r: -280\n",
      "W_2 Ep: 1508 | Ep_r: -333\n",
      "W_1 Ep: 1509 | Ep_r: -371\n",
      "W_0 Ep: 1510 | Ep_r: -373\n",
      "W_3 Ep: 1511 | Ep_r: -362\n",
      "W_2 Ep: 1512 | Ep_r: -352\n",
      "W_1 Ep: 1513 | Ep_r: -371\n",
      "W_0 Ep: 1514 | Ep_r: -375\n",
      "W_3 Ep: 1515 | Ep_r: -364\n",
      "W_2 Ep: 1516 | Ep_r: -367\n",
      "W_1 Ep: 1517 | Ep_r: -373\n",
      "W_0 Ep: 1518 | Ep_r: -363\n",
      "W_3W_2 Ep: 1519 | Ep_r: -352\n",
      " Ep: 1519 | Ep_r: -343\n",
      "W_1 Ep: 1521 | Ep_r: -335\n",
      "W_3 Ep: 1522 | Ep_r: -315\n",
      "W_0 Ep: 1523 | Ep_r: -336\n",
      "W_2 Ep: 1524 | Ep_r: -343\n",
      "W_1 Ep: 1525 | Ep_r: -348\n",
      "W_0 Ep: 1526 | Ep_r: -353\n",
      "W_3 Ep: 1527 | Ep_r: -344\n",
      "W_2 Ep: 1528 | Ep_r: -323\n",
      "W_1 Ep: 1529 | Ep_r: -344\n",
      "W_0 Ep: 1530 | Ep_r: -322\n",
      "W_3W_2 Ep: 1531 | Ep_r: -316\n",
      " Ep: 1531 | Ep_r: -363\n",
      "W_1 Ep: 1533 | Ep_r: -353\n",
      "W_0 Ep: 1534 | Ep_r: -371\n",
      "W_3W_2 Ep: 1535 | Ep_r: -375\n",
      " Ep: 1535 | Ep_r: -360\n",
      "W_1 Ep: 1537 | Ep_r: -394\n",
      "W_0 Ep: 1538 | Ep_r: -397\n",
      "W_2 Ep: 1539 | Ep_r: -430\n",
      "W_3 Ep: 1540 | Ep_r: -440\n",
      "W_1 Ep: 1541 | Ep_r: -451\n",
      "W_0 Ep: 1542 | Ep_r: -419\n",
      "W_2 Ep: 1543 | Ep_r: -390\n",
      "W_3 Ep: 1544 | Ep_r: -392\n",
      "W_1 Ep: 1545 | Ep_r: -392\n",
      "W_0 Ep: 1546 | Ep_r: -365\n",
      "W_2 Ep: 1547 | Ep_r: -355\n",
      "W_3 Ep: 1548 | Ep_r: -346\n",
      "W_1 Ep: 1549 | Ep_r: -367\n",
      "W_0 Ep: 1550 | Ep_r: -386\n",
      "W_2 Ep: 1551 | Ep_r: -360\n",
      "W_3 Ep: 1552 | Ep_r: -338\n",
      "W_1 Ep: 1553 | Ep_r: -330\n",
      "W_0 Ep: 1554 | Ep_r: -324\n",
      "W_2 Ep: 1555 | Ep_r: -305\n",
      "W_3 Ep: 1556 | Ep_r: -319\n",
      "W_1 Ep: 1557 | Ep_r: -314\n",
      "W_0 Ep: 1558 | Ep_r: -282\n",
      "W_3 Ep: 1559 | Ep_r: -294\n",
      "W_2 Ep: 1560 | Ep_r: -330\n",
      "W_1 Ep: 1561 | Ep_r: -324\n",
      "W_0 Ep: 1562 | Ep_r: -304\n",
      "W_3 Ep: 1563 | Ep_r: -287\n",
      "W_2 Ep: 1564 | Ep_r: -299\n",
      "W_1 Ep: 1565 | Ep_r: -310\n",
      "W_0 Ep: 1566 | Ep_r: -306\n",
      "W_3 Ep: 1567 | Ep_r: -275\n",
      "W_2 Ep: 1568 | Ep_r: -288\n",
      "W_1 Ep: 1569 | Ep_r: -286\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_0 Ep: 1570 | Ep_r: -310\n",
      "W_3 Ep: 1571 | Ep_r: -306\n",
      "W_2 Ep: 1572 | Ep_r: -315\n",
      "W_1 Ep: 1573 | Ep_r: -296\n",
      "W_0 Ep: 1574 | Ep_r: -308\n",
      "W_3 Ep: 1575 | Ep_r: -318\n",
      "W_2 Ep: 1576 | Ep_r: -312\n",
      "W_1 Ep: 1577 | Ep_r: -366\n",
      "W_0 Ep: 1578 | Ep_r: -329\n",
      "W_3 Ep: 1579 | Ep_r: -309\n",
      "W_2 Ep: 1580 | Ep_r: -321\n",
      "W_1 Ep: 1581 | Ep_r: -315\n",
      "W_0 Ep: 1582 | Ep_r: -376\n",
      "W_3 Ep: 1583 | Ep_r: -437\n",
      "W_2 Ep: 1584 | Ep_r: -472\n",
      "W_1 Ep: 1585 | Ep_r: -490\n",
      "W_0 Ep: 1586 | Ep_r: -534\n",
      "W_3 Ep: 1587 | Ep_r: -507\n",
      "W_2 Ep: 1588 | Ep_r: -560\n",
      "W_1 Ep: 1589 | Ep_r: -517\n",
      "W_0 Ep: 1590 | Ep_r: -465\n",
      "W_2 Ep: 1591 | Ep_r: -432\n",
      "W_3 Ep: 1592 | Ep_r: -402\n",
      "W_1 Ep: 1593 | Ep_r: -426\n",
      "W_0 Ep: 1594 | Ep_r: -397\n",
      "W_2 Ep: 1595 | Ep_r: -370\n",
      "W_3 Ep: 1596 | Ep_r: -374\n",
      "W_1 Ep: 1597 | Ep_r: -400\n",
      "W_0 Ep: 1598 | Ep_r: -401\n",
      "W_3 Ep: 1599 | Ep_r: -400\n",
      "W_2 Ep: 1600 | Ep_r: -416\n",
      "W_1 Ep: 1601 | Ep_r: -388\n",
      "W_0 Ep: 1602 | Ep_r: -349\n",
      "W_3 Ep: 1603 | Ep_r: -353\n",
      "W_2 Ep: 1604 | Ep_r: -331\n",
      "W_1 Ep: 1605 | Ep_r: -325\n",
      "W_0 Ep: 1606 | Ep_r: -305\n",
      "W_3 Ep: 1607 | Ep_r: -314\n",
      "W_2 Ep: 1608 | Ep_r: -348\n",
      "W_1 Ep: 1609 | Ep_r: -379\n",
      "W_0 Ep: 1610 | Ep_r: -401\n",
      "W_3 Ep: 1611 | Ep_r: -374\n",
      "W_2 Ep: 1612 | Ep_r: -376\n",
      "W_1 Ep: 1613 | Ep_r: -422\n",
      "W_0 Ep: 1614 | Ep_r: -392\n",
      "W_3 Ep: 1615 | Ep_r: -416\n",
      "W_2 Ep: 1616 | Ep_r: -413\n",
      "W_1 Ep: 1617 | Ep_r: -397\n",
      "W_0 Ep: 1618 | Ep_r: -371\n",
      "W_2 Ep: 1619 | Ep_r: -360\n",
      "W_3 Ep: 1620 | Ep_r: -369\n",
      "W_1 Ep: 1621 | Ep_r: -359\n",
      "W_0 Ep: 1622 | Ep_r: -402\n",
      "W_3 Ep: 1623 | Ep_r: -427\n",
      "W_2 Ep: 1624 | Ep_r: -437\n",
      "W_1 Ep: 1625 | Ep_r: -473\n",
      "W_0 Ep: 1626 | Ep_r: -519\n",
      "W_2 Ep: 1627 | Ep_r: -546\n",
      "W_3 Ep: 1628 | Ep_r: -543\n",
      "W_1 Ep: 1629 | Ep_r: -568\n",
      "W_0 Ep: 1630 | Ep_r: -578\n",
      "W_3 Ep: 1631 | Ep_r: -534\n",
      "W_2 Ep: 1632 | Ep_r: -493\n",
      "W_1 Ep: 1633 | Ep_r: -509\n",
      "W_0 Ep: 1634 | Ep_r: -459\n",
      "W_3 Ep: 1635 | Ep_r: -452\n",
      "W_2 Ep: 1636 | Ep_r: -485\n",
      "W_1 Ep: 1637 | Ep_r: -490\n",
      "W_0 Ep: 1638 | Ep_r: -493\n",
      "W_3 Ep: 1639 | Ep_r: -444\n",
      "W_2 Ep: 1640 | Ep_r: -456\n",
      "W_1 Ep: 1641 | Ep_r: -467\n",
      "W_0 Ep: 1642 | Ep_r: -469\n",
      "W_3 Ep: 1643 | Ep_r: -461\n",
      "W_2 Ep: 1644 | Ep_r: -470\n",
      "W_1 Ep: 1645 | Ep_r: -448\n",
      "W_0 Ep: 1646 | Ep_r: -404\n",
      "W_3 Ep: 1647 | Ep_r: -376\n",
      "W_2 Ep: 1648 | Ep_r: -379\n",
      "W_1 Ep: 1649 | Ep_r: -341\n",
      "W_0 Ep: 1650 | Ep_r: -333\n",
      "W_3 Ep: 1651 | Ep_r: -325\n",
      "W_2 Ep: 1652 | Ep_r: -360\n",
      "W_1 Ep: 1653 | Ep_r: -372\n",
      "W_0 Ep: 1654 | Ep_r: -348\n",
      "W_3 Ep: 1655 | Ep_r: -314\n",
      "W_2 Ep: 1656 | Ep_r: -322\n",
      "W_1 Ep: 1657 | Ep_r: -316\n",
      "W_0 Ep: 1658 | Ep_r: -298\n",
      "W_3 Ep: 1659 | Ep_r: -294\n",
      "W_2 Ep: 1660 | Ep_r: -346\n",
      "W_1 Ep: 1661 | Ep_r: -377\n",
      "W_0 Ep: 1662 | Ep_r: -407\n",
      "W_3 Ep: 1663 | Ep_r: -408\n",
      "W_2 Ep: 1664 | Ep_r: -429\n",
      "W_1 Ep: 1665 | Ep_r: -400\n",
      "W_0 Ep: 1666 | Ep_r: -454\n",
      "W_3 Ep: 1667 | Ep_r: -487\n",
      "W_2 Ep: 1668 | Ep_r: -521\n",
      "W_1 Ep: 1669 | Ep_r: -509\n",
      "W_0 Ep: 1670 | Ep_r: -471\n",
      "W_3 Ep: 1671 | Ep_r: -473\n",
      "W_2 Ep: 1672 | Ep_r: -439\n",
      "W_1 Ep: 1673 | Ep_r: -447\n",
      "W_0 Ep: 1674 | Ep_r: -416\n",
      "W_3 Ep: 1675 | Ep_r: -387\n",
      "W_2 Ep: 1676 | Ep_r: -375\n",
      "W_1 Ep: 1677 | Ep_r: -351\n",
      "W_0 Ep: 1678 | Ep_r: -343\n",
      "W_2 Ep: 1679 | Ep_r: -349\n",
      "W_3 Ep: 1680 | Ep_r: -387\n",
      "W_1 Ep: 1681 | Ep_r: -390\n",
      "W_0 Ep: 1682 | Ep_r: -351\n",
      "W_3 Ep: 1683 | Ep_r: -342\n",
      "W_2 Ep: 1684 | Ep_r: -347\n",
      "W_1 Ep: 1685 | Ep_r: -341\n",
      "W_0 Ep: 1686 | Ep_r: -348\n",
      "W_3 Ep: 1687 | Ep_r: -340\n",
      "W_2 Ep: 1688 | Ep_r: -332\n",
      "W_1 Ep: 1689 | Ep_r: -325\n",
      "W_0 Ep: 1690 | Ep_r: -350\n",
      "W_3 Ep: 1691 | Ep_r: -341\n",
      "W_2 Ep: 1692 | Ep_r: -334\n",
      "W_1 Ep: 1693 | Ep_r: -314\n",
      "W_0 Ep: 1694 | Ep_r: -325\n",
      "W_3 Ep: 1695 | Ep_r: -306\n",
      "W_2 Ep: 1696 | Ep_r: -302\n",
      "W_1 Ep: 1697 | Ep_r: -298\n",
      "W_0 Ep: 1698 | Ep_r: -294\n",
      "W_3 Ep: 1699 | Ep_r: -318\n",
      "W_2 Ep: 1700 | Ep_r: -286\n",
      "W_1 Ep: 1701 | Ep_r: -270\n",
      "W_0 Ep: 1702 | Ep_r: -269\n",
      "W_3 Ep: 1703 | Ep_r: -270\n",
      "W_2 Ep: 1704 | Ep_r: -270\n",
      "W_1 Ep: 1705 | Ep_r: -284\n",
      "W_0 Ep: 1706 | Ep_r: -282\n",
      "W_3 Ep: 1707 | Ep_r: -267\n",
      "W_2 Ep: 1708 | Ep_r: -326\n",
      "W_1 Ep: 1709 | Ep_r: -307\n",
      "W_0 Ep: 1710 | Ep_r: -332\n",
      "W_3 Ep: 1711 | Ep_r: -312\n",
      "W_2 Ep: 1712 | Ep_r: -335\n",
      "W_1 Ep: 1713 | Ep_r: -328\n",
      "W_0 Ep: 1714 | Ep_r: -308\n",
      "W_3 Ep: 1715 | Ep_r: -317\n",
      "W_2 Ep: 1716 | Ep_r: -298\n",
      "W_1 Ep: 1717 | Ep_r: -282\n",
      "W_0 Ep: 1718 | Ep_r: -293\n",
      "W_3 Ep: 1719 | Ep_r: -336\n",
      "W_2 Ep: 1720 | Ep_r: -342\n",
      "W_1 Ep: 1721 | Ep_r: -320\n",
      "W_0 Ep: 1722 | Ep_r: -301\n",
      "W_3 Ep: 1723 | Ep_r: -312\n",
      "W_2 Ep: 1724 | Ep_r: -319\n",
      "W_1 Ep: 1725 | Ep_r: -327\n",
      "W_0 Ep: 1726 | Ep_r: -346\n",
      "W_3 Ep: 1727 | Ep_r: -390\n",
      "W_2 Ep: 1728 | Ep_r: -393\n",
      "W_1 Ep: 1729 | Ep_r: -380\n",
      "W_0 Ep: 1730 | Ep_r: -384\n",
      "W_3 Ep: 1731 | Ep_r: -372\n",
      "W_1 Ep: 1732 | Ep_r: -401\n",
      "W_2 Ep: 1733 | Ep_r: -374\n",
      "W_0 Ep: 1734 | Ep_r: -350\n",
      "W_3 Ep: 1735 | Ep_r: -340\n",
      "W_1 Ep: 1736 | Ep_r: -320\n",
      "W_2 Ep: 1737 | Ep_r: -331\n",
      "W_0 Ep: 1738 | Ep_r: -350\n",
      "W_3 Ep: 1739 | Ep_r: -329\n",
      "W_1 Ep: 1740 | Ep_r: -296\n",
      "W_2 Ep: 1741 | Ep_r: -307\n",
      "W_0 Ep: 1742 | Ep_r: -289\n",
      "W_3 Ep: 1743 | Ep_r: -274\n",
      "W_1 Ep: 1744 | Ep_r: -288\n",
      "W_2 Ep: 1745 | Ep_r: -273\n",
      "W_0 Ep: 1746 | Ep_r: -258\n",
      "W_3 Ep: 1747 | Ep_r: -259\n",
      "W_1 Ep: 1748 | Ep_r: -286\n",
      "W_2 Ep: 1749 | Ep_r: -270\n",
      "W_0 Ep: 1750 | Ep_r: -276\n",
      "W_3 Ep: 1751 | Ep_r: -262\n",
      "W_1 Ep: 1752 | Ep_r: -262\n",
      "W_2 Ep: 1753 | Ep_r: -239\n",
      "W_0 Ep: 1754 | Ep_r: -242\n",
      "W_3 Ep: 1755 | Ep_r: -283\n",
      "W_1 Ep: 1756 | Ep_r: -293\n",
      "W_2 Ep: 1757 | Ep_r: -337\n",
      "W_0 Ep: 1758 | Ep_r: -362\n",
      "W_3 Ep: 1759 | Ep_r: -378\n",
      "W_1 Ep: 1760 | Ep_r: -399\n",
      "W_2 Ep: 1761 | Ep_r: -372\n",
      "W_0 Ep: 1762 | Ep_r: -381\n",
      "W_3 Ep: 1763 | Ep_r: -387\n",
      "W_1 Ep: 1764 | Ep_r: -439\n",
      "W_2 Ep: 1765 | Ep_r: -462\n",
      "W_0 Ep: 1766 | Ep_r: -492\n",
      "W_3 Ep: 1767 | Ep_r: -455\n",
      "W_1 Ep: 1768 | Ep_r: -436\n",
      "W_2 Ep: 1769 | Ep_r: -473\n",
      "W_0 Ep: 1770 | Ep_r: -425\n",
      "W_3 Ep: 1771 | Ep_r: -436\n",
      "W_1 Ep: 1772 | Ep_r: -437\n",
      "W_2 Ep: 1773 | Ep_r: -394\n",
      "W_0 Ep: 1774 | Ep_r: -416\n",
      "W_3 Ep: 1775 | Ep_r: -400\n",
      "W_1 Ep: 1776 | Ep_r: -387\n",
      "W_2 Ep: 1777 | Ep_r: -388\n",
      "W_0 Ep: 1778 | Ep_r: -393\n",
      "W_3 Ep: 1779 | Ep_r: -367\n",
      "W_1 Ep: 1780 | Ep_r: -343\n",
      "W_2 Ep: 1781 | Ep_r: -427\n",
      "W_0 Ep: 1782 | Ep_r: -432\n",
      "W_3 Ep: 1783 | Ep_r: -500\n",
      "W_1 Ep: 1784 | Ep_r: -463\n",
      "W_2 Ep: 1785 | Ep_r: -417\n",
      "W_0 Ep: 1786 | Ep_r: -388\n",
      "W_3 Ep: 1787 | Ep_r: -471\n",
      "W_1 Ep: 1788 | Ep_r: -538\n",
      "W_2 Ep: 1789 | Ep_r: -608\n",
      "W_0 Ep: 1790 | Ep_r: -623\n",
      "W_3 Ep: 1791 | Ep_r: -561\n",
      "W_1 Ep: 1792 | Ep_r: -616\n",
      "W_2 Ep: 1793 | Ep_r: -649\n",
      "W_0 Ep: 1794 | Ep_r: -597\n",
      "W_1 Ep: 1795 | Ep_r: -577\n",
      "W_3 Ep: 1796 | Ep_r: -532\n",
      "W_2 Ep: 1797 | Ep_r: -596\n",
      "W_0 Ep: 1798 | Ep_r: -549\n",
      "W_3 Ep: 1799 | Ep_r: -543\n",
      "W_1 Ep: 1800 | Ep_r: -556\n",
      "W_2 Ep: 1801 | Ep_r: -543\n",
      "W_0 Ep: 1802 | Ep_r: -594\n",
      "W_3 Ep: 1803 | Ep_r: -561\n",
      "W_1 Ep: 1804 | Ep_r: -545\n",
      "W_2 Ep: 1805 | Ep_r: -541\n",
      "W_0 Ep: 1806 | Ep_r: -513\n",
      "W_3 Ep: 1807 | Ep_r: -528\n",
      "W_1W_2 Ep: 1808 | Ep_r: -482\n",
      " Ep: 1808 | Ep_r: -489\n",
      "W_0 Ep: 1810 | Ep_r: -473\n",
      "W_1W_3 Ep: 1811  | Ep_r: -508\n",
      "Ep: 1811 | Ep_r: -468\n",
      "W_2 Ep: 1813 | Ep_r: -523\n",
      "W_0 Ep: 1814 | Ep_r: -484\n",
      "W_1 Ep: 1815 | Ep_r: -510\n",
      "W_3 Ep: 1816 | Ep_r: -541\n",
      "W_2 Ep: 1817 | Ep_r: -592\n",
      "W_0 Ep: 1818 | Ep_r: -572\n",
      "W_3 Ep: 1819 | Ep_r: -528\n",
      "W_1 Ep: 1820 | Ep_r: -542\n",
      "W_2 Ep: 1821 | Ep_r: -501\n",
      "W_0 Ep: 1822 | Ep_r: -464\n",
      "W_3 Ep: 1823 | Ep_r: -444\n",
      "W_1 Ep: 1824 | Ep_r: -439\n",
      "W_2 Ep: 1825 | Ep_r: -436\n",
      "W_0 Ep: 1826 | Ep_r: -446\n",
      "W_3 Ep: 1827 | Ep_r: -446\n",
      "W_1 Ep: 1828 | Ep_r: -428\n",
      "W_2 Ep: 1829 | Ep_r: -411\n",
      "W_0 Ep: 1830 | Ep_r: -383\n",
      "W_3 Ep: 1831 | Ep_r: -384\n",
      "W_1 Ep: 1832 | Ep_r: -372\n",
      "W_2 Ep: 1833 | Ep_r: -412\n",
      "W_0 Ep: 1834 | Ep_r: -397\n",
      "W_3 Ep: 1835 | Ep_r: -384\n",
      "W_1 Ep: 1836 | Ep_r: -372\n",
      "W_2 Ep: 1837 | Ep_r: -389\n",
      "W_0 Ep: 1838 | Ep_r: -393\n",
      "W_3 Ep: 1839 | Ep_r: -381\n",
      "W_2 Ep:W_1  Ep: 1840 | Ep_r: -322\n",
      "1840 | Ep_r: -343\n",
      "W_0 Ep: 1842 | Ep_r: -316\n",
      "W_3 Ep: 1843 | Ep_r: -297\n",
      "W_1 Ep: 1844 | Ep_r: -294\n",
      "W_2 Ep: 1845 | Ep_r: -317\n",
      "W_0 Ep: 1846 | Ep_r: -377\n",
      "W_3 Ep: 1847 | Ep_r: -366\n",
      "W_2 Ep: 1848 | Ep_r: -356\n",
      "W_1 Ep: 1849 | Ep_r: -334\n",
      "W_0 Ep: 1850 | Ep_r: -301\n",
      "W_3 Ep: 1851 | Ep_r: -284\n",
      "W_1 Ep: 1852 | Ep_r: -268\n",
      "W_2 Ep: 1853 | Ep_r: -255\n",
      "W_0 Ep: 1854 | Ep_r: -282\n",
      "W_3 Ep: 1855 | Ep_r: -332\n",
      "W_1 Ep: 1856 | Ep_r: -299\n",
      "W_2 Ep: 1857 | Ep_r: -296\n",
      "W_0 Ep: 1858 | Ep_r: -292\n",
      "W_3 Ep: 1859 | Ep_r: -330\n",
      "W_1 Ep: 1860 | Ep_r: -322\n",
      "W_2 Ep: 1861 | Ep_r: -383\n",
      "W_0 Ep: 1862 | Ep_r: -391\n",
      "W_3 Ep: 1863 | Ep_r: -378\n",
      "W_1 Ep: 1864 | Ep_r: -395\n",
      "W_2 Ep: 1865 | Ep_r: -398\n",
      "W_0 Ep: 1866 | Ep_r: -448\n",
      "W_1 Ep: 1867 | Ep_r: -431\n",
      "W_3 Ep: 1868 | Ep_r: -467\n",
      "W_2 Ep: 1869 | Ep_r: -487\n",
      "W_0 Ep: 1870 | Ep_r: -531\n",
      "W_1 Ep: 1871 | Ep_r: -492\n",
      "W_3 Ep: 1872 | Ep_r: -532\n",
      "W_2 Ep: 1873 | Ep_r: -528\n",
      "W_0 Ep: 1874 | Ep_r: -489\n",
      "W_1 Ep: 1875 | Ep_r: -466\n",
      "W_3 Ep: 1876 | Ep_r: -420\n",
      "W_2 Ep: 1877 | Ep_r: -466\n",
      "W_0 Ep: 1878 | Ep_r: -475\n",
      "W_2 Ep: 1879 | Ep_r: -507\n",
      "W_3 Ep: 1880 | Ep_r: -483\n",
      "W_1 Ep: 1881 | Ep_r: -448\n",
      "W_0 Ep: 1882 | Ep_r: -446\n",
      "W_2 Ep: 1883 | Ep_r: -427\n",
      "W_3 Ep: 1884 | Ep_r: -469\n",
      "W_1 Ep: 1885 | Ep_r: -478\n",
      "W_0 Ep: 1886 | Ep_r: -470\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W_2 Ep: 1887 | Ep_r: -480\n",
      "W_3 Ep: 1888 | Ep_r: -498\n",
      "W_1 Ep: 1889 | Ep_r: -501\n",
      "W_0 Ep: 1890 | Ep_r: -464\n",
      "W_2 Ep: 1891 | Ep_r: -444\n",
      "W_3 Ep: 1892 | Ep_r: -399\n",
      "W_1 Ep: 1893 | Ep_r: -373\n",
      "W_0 Ep: 1894 | Ep_r: -348\n",
      "W_2 Ep: 1895 | Ep_r: -340\n",
      "W_3 Ep: 1896 | Ep_r: -320\n",
      "W_1 Ep: 1897 | Ep_r: -314\n",
      "W_0 Ep: 1898 | Ep_r: -296\n",
      "W_2 Ep: 1899 | Ep_r: -340\n",
      "W_3 Ep: 1900 | Ep_r: -373\n",
      "W_1 Ep: 1901 | Ep_r: -388\n",
      "W_0 Ep: 1902 | Ep_r: -375\n",
      "W_2 Ep: 1903 | Ep_r: -364\n",
      "W_3 Ep: 1904 | Ep_r: -341\n",
      "W_1 Ep: 1905 | Ep_r: -334\n",
      "W_0 Ep: 1906 | Ep_r: -339\n",
      "W_3 Ep: 1907 | Ep_r: -306\n",
      "W_2 Ep: 1908 | Ep_r: -316\n",
      "W_1 Ep: 1909 | Ep_r: -311\n",
      "W_0 Ep: 1910 | Ep_r: -320\n",
      "W_2 Ep: 1911 | Ep_r: -344\n",
      "W_3 Ep: 1912 | Ep_r: -363\n",
      "W_1 Ep: 1913 | Ep_r: -327\n",
      "W_0 Ep: 1914 | Ep_r: -352\n",
      "W_3 Ep: 1915 | Ep_r: -357\n",
      "W_2 Ep: 1916 | Ep_r: -405\n",
      "W_1 Ep: 1917 | Ep_r: -431\n",
      "W_0 Ep: 1918 | Ep_r: -401\n",
      "W_3 Ep: 1919 | Ep_r: -387\n",
      "W_2 Ep: 1920 | Ep_r: -388\n",
      "W_1 Ep: 1921 | Ep_r: -407\n",
      "W_0 Ep: 1922 | Ep_r: -405\n",
      "W_2W_3 Ep: 1923 | Ep_r: -429\n",
      " Ep: 1923 | Ep_r: -446\n",
      "W_1 Ep: 1925 | Ep_r: -414\n",
      "W_0 Ep: 1926 | Ep_r: -399\n",
      "W_3 Ep: 1927 | Ep_r: -359\n",
      "W_2 Ep: 1928 | Ep_r: -323\n",
      "W_1 Ep: 1929 | Ep_r: -318\n",
      "W_0 Ep: 1930 | Ep_r: -327\n",
      "W_3 Ep: 1931 | Ep_r: -321\n",
      "W_2 Ep: 1932 | Ep_r: -315\n",
      "W_1 Ep: 1933 | Ep_r: -322\n",
      "W_0 Ep: 1934 | Ep_r: -303\n",
      "W_2 Ep: 1935 | Ep_r: -313\n",
      "W_3 Ep: 1936 | Ep_r: -295\n",
      "W_1 Ep: 1937 | Ep_r: -278\n",
      "W_0 Ep: 1938 | Ep_r: -277\n",
      "W_2 Ep: 1939 | Ep_r: -303\n",
      "W_3 Ep: 1940 | Ep_r: -299\n",
      "W_1 Ep: 1941 | Ep_r: -282\n",
      "W_0 Ep: 1942 | Ep_r: -280\n",
      "W_2 Ep: 1943 | Ep_r: -279\n",
      "W_3 Ep: 1944 | Ep_r: -303\n",
      "W_1 Ep: 1945 | Ep_r: -286\n",
      "W_0 Ep: 1946 | Ep_r: -284\n",
      "W_2 Ep: 1947 | Ep_r: -269\n",
      "W_3 Ep: 1948 | Ep_r: -269\n",
      "W_1 Ep: 1949 | Ep_r: -300\n",
      "W_0 Ep: 1950 | Ep_r: -310\n",
      "W_2 Ep: 1951 | Ep_r: -338\n",
      "W_3 Ep: 1952 | Ep_r: -317\n",
      "W_1 Ep: 1953 | Ep_r: -299\n",
      "W_0 Ep: 1954 | Ep_r: -269\n",
      "W_2 Ep: 1955 | Ep_r: -256\n",
      "W_3 Ep: 1956 | Ep_r: -270\n",
      "W_1 Ep: 1957 | Ep_r: -256\n",
      "W_0 Ep: 1958 | Ep_r: -244\n",
      "W_2 Ep: 1959 | Ep_r: -233\n",
      "W_3 Ep: 1960 | Ep_r: -250\n",
      "W_1 Ep: 1961 | Ep_r: -251\n",
      "W_0 Ep: 1962 | Ep_r: -252\n",
      "W_2 Ep: 1963 | Ep_r: -240\n",
      "W_3 Ep: 1964 | Ep_r: -269\n",
      "W_1 Ep: 1965 | Ep_r: -281\n",
      "W_0 Ep: 1966 | Ep_r: -306\n",
      "W_2 Ep: 1967 | Ep_r: -329\n",
      "W_3 Ep: 1968 | Ep_r: -309\n",
      "W_1 Ep: 1969 | Ep_r: -305\n",
      "W_0 Ep: 1970 | Ep_r: -288\n",
      "W_2 Ep: 1971 | Ep_r: -272\n",
      "W_3 Ep: 1972 | Ep_r: -285\n",
      "W_1 Ep: 1973 | Ep_r: -282\n",
      "W_0 Ep: 1974 | Ep_r: -267\n",
      "W_2 Ep: 1975 | Ep_r: -267\n",
      "W_3 Ep: 1976 | Ep_r: -281\n",
      "W_1 Ep: 1977 | Ep_r: -253\n",
      "W_0 Ep: 1978 | Ep_r: -240\n",
      "W_2 Ep: 1979 | Ep_r: -256\n",
      "W_3 Ep: 1980 | Ep_r: -272\n",
      "W_1 Ep: 1981 | Ep_r: -298\n",
      "W_0 Ep: 1982 | Ep_r: -282\n",
      "W_2 Ep: 1983 | Ep_r: -310\n",
      "W_3 Ep: 1984 | Ep_r: -322\n",
      "W_1 Ep: 1985 | Ep_r: -303\n",
      "W_0 Ep: 1986 | Ep_r: -285\n",
      "W_2 Ep: 1987 | Ep_r: -270\n",
      "W_3 Ep: 1988 | Ep_r: -256\n",
      "W_1 Ep: 1989 | Ep_r: -244\n",
      "W_0 Ep: 1990 | Ep_r: -232\n",
      "W_2 Ep: 1991 | Ep_r: -250\n",
      "W_3 Ep: 1992 | Ep_r: -283\n",
      "W_1 Ep: 1993 | Ep_r: -295\n",
      "W_0 Ep: 1994 | Ep_r: -291\n",
      "W_2 Ep: 1995 | Ep_r: -262\n",
      "W_3 Ep: 1996 | Ep_r: -317\n",
      "W_1 Ep: 1997 | Ep_r: -298\n",
      "W_0 Ep: 1998 | Ep_r: -281\n",
      "W_2 Ep: 1999 | Ep_r: -293\n",
      "W_3 Ep: 2000 | Ep_r: -277\n",
      "W_1 Ep: 2001 | Ep_r: -332\n",
      "W_0 Ep: 2002 | Ep_r: -341\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SESS = tf.Session()\n",
    "\n",
    "with tf.device(\"/cpu:0\"):\n",
    "    OPT_A = tf.train.RMSPropOptimizer(LR_A, name='RMSPropA')\n",
    "    OPT_C = tf.train.RMSPropOptimizer(LR_C, name='RMSPropC')\n",
    "    GLOBAL_AC = ACNet(GLOBAL_NET_SCOPE)  # we only need its params\n",
    "    workers = []\n",
    "    # Create worker\n",
    "    for i in range(N_WORKERS):\n",
    "        i_name = 'W_%i' % i   # worker name\n",
    "        workers.append(Worker(i_name, GLOBAL_AC))\n",
    "\n",
    "COORD = tf.train.Coordinator()\n",
    "SESS.run(tf.global_variables_initializer())\n",
    "\n",
    "if OUTPUT_GRAPH:\n",
    "    if os.path.exists(LOG_DIR):\n",
    "        shutil.rmtree(LOG_DIR)\n",
    "    tf.summary.FileWriter(LOG_DIR, SESS.graph)\n",
    "\n",
    "worker_threads = []\n",
    "for worker in workers:\n",
    "    job = lambda: worker.work()\n",
    "    t = threading.Thread(target=job)\n",
    "    t.start()\n",
    "    worker_threads.append(t)\n",
    "COORD.join(worker_threads)\n",
    "\n",
    "plt.plot(np.arange(len(GLOBAL_RUNNING_R)), GLOBAL_RUNNING_R)\n",
    "plt.xlabel('step')\n",
    "plt.ylabel('Total moving reward')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}