src/Maze_Solving_Code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# **Q-Learning (Reinforcement Learning) based Maze Solver**"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Required Libraries & Modules:"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "source": [
    "import numpy as np\r\n",
    "import random\r\n",
    "import matplotlib.pyplot as plt\r\n",
    "from ImgPreprocess import preprocess"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Agent of the Q-Learning Model:"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "source": [
    "class Agent:\r\n",
    "    # defining Agent related functions and instances\r\n",
    "\r\n",
    "    def __init__(self, i = 0, j = 0):\r\n",
    "        # initailises the Agent object with passed coordinates (default: (0, 0))\r\n",
    "\r\n",
    "        self.i = i\r\n",
    "        self.j = j\r\n",
    "\r\n",
    "    @property\r\n",
    "    def loc(self):\r\n",
    "        # returns the current location of the Agent in the maze as tuple\r\n",
    "\r\n",
    "        return (self.i, self.j)\r\n",
    "    \r\n",
    "    def vmove(self, direction):\r\n",
    "        # returns a new object of the Agent after moving vertically \r\n",
    "\r\n",
    "        direction = 1 if direction > 0 else -1\r\n",
    "        return Agent(self.i + direction, self.j)\r\n",
    "    \r\n",
    "    def hmove(self, direction):\r\n",
    "        # returns a new object of the Agent after moving horizontally\r\n",
    "\r\n",
    "        direction = 1 if direction > 0 else -1\r\n",
    "        return Agent(self.i, direction + self.j) \r\n",
    "    \r\n",
    "    def __repr__(self):\r\n",
    "        # returns a string denoting the current location of the Agent in the maze\r\n",
    "        \r\n",
    "        return str(self.loc)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Defining the Maze: "
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "class Maze:\r\n",
    "    # general maze class defination and related functions and instances\r\n",
    "\r\n",
    "    def __init__(self, rows = 4, columns = 4, l = [0, 0, -1, -1], aspect = 1, reward = 0):\r\n",
    "        # initializing a matrix of order (rows x columns) (default: 4x4) with 0s\r\n",
    "        # mousy is an object of Agent class \r\n",
    "        # mousy starts at cell (x0, y0) (default: top-left corner)\r\n",
    "        # end point is at cell (x1, y1) (default: bottom-right corner)\r\n",
    "        \r\n",
    "        self.r = rows\r\n",
    "        self.c = columns\r\n",
    "        if reward == 0: # reward is proportional to the size of the maze\r\n",
    "            self.reward = 10 * rows * columns \r\n",
    "        else: self.reward = reward # manually set\r\n",
    "        self.env = np.zeros((rows, columns))\r\n",
    "        self.x0, self.y0, self.x1, self.y1 = l\r\n",
    "        self.mousy = Agent(self.x0, self.y0) # defining the start cell\r\n",
    "\r\n",
    "        self.env[self.x1, self.y1] = 1 # defining the end cell\r\n",
    "        if self.x0 < 0: self.x0 = self.x0 % rows\r\n",
    "        if self.y0 < 0: self.y0 = self.y0 % columns\r\n",
    "        if self.x1 < 0: self.x1 = self.x1 % rows\r\n",
    "        if self.y1 < 0: self.y1 = self.y1 % columns\r\n",
    "            \r\n",
    "        self.trace = [] # for tracking path of agent\r\n",
    "        self.aspect = aspect # aspect ratio of Matplotlib plots (default: 1)\r\n",
    "\r\n",
    "    def reset(self):\r\n",
    "        # resetting mousy to original coordinates (x0, y0) \r\n",
    "\r\n",
    "        self.mousy.i = self.x0\r\n",
    "        self.mousy.j = self.y0\r\n",
    "        self.trace = []\r\n",
    "\r\n",
    "    def state_for_agent(self):\r\n",
    "        # indexing each grid cell of maze as a unique state with unique index \r\n",
    "        # and returning the index to current position of mousy\r\n",
    "\r\n",
    "        a = self.mousy\r\n",
    "        return a.i * self.c + a.j\r\n",
    "        \r\n",
    "    def in_bounds(self, i, j):\r\n",
    "        # checks if the coordinates are outside the maze \r\n",
    "\r\n",
    "        return i >= 0 and i < self.r and j >= 0 and j < self.c\r\n",
    "    \r\n",
    "    def agent_in_bounds(self, a):\r\n",
    "        # checks if the agent is inside the maze or not\r\n",
    "\r\n",
    "        return self.in_bounds(a.i, a.j)\r\n",
    "    \r\n",
    "    def agent_dient(self, a):\r\n",
    "        # checks if the coordinates are not prohibited/ are not walls\r\n",
    "\r\n",
    "        return self.env[a.i, a.j] != -1\r\n",
    "    \r\n",
    "    def is_valid_new_agent(self, a):\r\n",
    "        # checks if the agent state is valid, i.e. niether outside maze nor on walls \r\n",
    "\r\n",
    "        return self.agent_in_bounds(a) and self.agent_dient(a)\r\n",
    "    \r\n",
    "    @property\r\n",
    "    def all_actions(self):  \r\n",
    "        # returns all the actions that mousy can take (both valid or invalid) as a \r\n",
    "        # list of objects of Agent class\r\n",
    "\r\n",
    "        a = self.mousy    \r\n",
    "        return [\r\n",
    "            a.vmove(1),  # down\r\n",
    "            a.vmove(-1), # up\r\n",
    "            a.hmove(1),  # right\r\n",
    "            a.hmove(-1), # left\r\n",
    "        ]\r\n",
    "       \r\n",
    "    def compute_possible_moves(self):\r\n",
    "        # returns all the valid actions that mousy can take as a list of tuples containing  \r\n",
    "        # object of Agent class and its index\r\n",
    "\r\n",
    "        moves = self.all_actions\r\n",
    "        return [(m, ii) for ii, m in enumerate(moves) if self.is_valid_new_agent(m)]\r\n",
    "\r\n",
    "    def has_won(self):\r\n",
    "        # returns if mousy has won (reached the end of the matrix)\r\n",
    "\r\n",
    "        a = self.mousy\r\n",
    "        return self.env[a.i, a.j] == 1\r\n",
    "            \r\n",
    "    def do_a_move(self,a):\r\n",
    "        # moves mousy to a new valid position on the maze, updates the trace and returns \r\n",
    "        # the corresponding score: 10 for winning else -0.1\r\n",
    "\r\n",
    "        if self.is_valid_new_agent(a): \r\n",
    "            self.trace.append(self.mousy.loc) # Update trace\r\n",
    "            self.mousy = a\r\n",
    "            return self.reward if self.has_won() else -0.1\r\n",
    "        else: \r\n",
    "            self.show_trace()\r\n",
    "            print(a.i, a.j)\r\n",
    "            assert False, \"Mousy can't go there\"\r\n",
    "        \r\n",
    "    def visualise(self):\r\n",
    "        # prints the entire maze with the agent's location\r\n",
    "        # 0's denote valid cells, -1's denote walls \r\n",
    "        # 1 denotes the end of the maze and 6 denotes the current position of agent\r\n",
    "\r\n",
    "        assert self.agent_in_bounds(self.mousy), \"mousy is out of bounds\"\r\n",
    "        ec = self.env.copy()\r\n",
    "        mo = self.mousy\r\n",
    "        ec[mo.i,mo.j] = 6\r\n",
    "        print(ec)\r\n",
    "    \r\n",
    "    def show_trace(self):\r\n",
    "        # shows a pictorial representation of path trace using Matplotlib\r\n",
    "        # aspect defines the height to width ratio of the pixels\r\n",
    "        \r\n",
    "        ec = self.env.copy()\r\n",
    "        mo = self.mousy\r\n",
    "        for x in self.trace: ec[x[0], x[1]] = -0.5\r\n",
    "        ec[mo.i, mo.j] = 0.5\r\n",
    "        plt.imshow(ec, aspect = self.aspect)\r\n",
    "        plt.clim(-1, 1)\r\n",
    "        plt.colorbar()\r\n",
    "        plt.show()\r\n",
    "        \r\n",
    "    def show_maze(self):\r\n",
    "        # shows a pictorial representation of the maze using Matplotlib\r\n",
    "        # aspect defines the height to width ratio of the pixels\r\n",
    "\r\n",
    "        ec = self.env.copy()\r\n",
    "        mo = self.mousy\r\n",
    "        ec[mo.i,mo.j] = 0.5\r\n",
    "        plt.imshow(ec, aspect = self.aspect)\r\n",
    "        plt.clim(-1, 1)\r\n",
    "        plt.colorbar()\r\n",
    "        plt.show()"
   ],
   "outputs": [],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Q-Learning Model:"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "class Qlearning:\r\n",
    "    # implements the Reinforcement Learning (Q-Learning) algorithm using Bellman Equation\r\n",
    "\r\n",
    "    def __init__(self, num_states, num_actions, lr = 0.1, df = 0.99):\r\n",
    "        # initializing the learning rate(a) with lr(default: 0.1), the discount factor(g) \r\n",
    "        # with df(default: 0.99) and the q-matrix(q) of order (num_states x num_actions) \r\n",
    "        # with 0s\r\n",
    "        \r\n",
    "        self.q = np.zeros((num_states, num_actions))\r\n",
    "        self.a = lr\r\n",
    "        self.g = df\r\n",
    "    \r\n",
    "    def update(self, st, at, rt, st1):\r\n",
    "        # updates the q-matrix using Bellman Equation\r\n",
    "\r\n",
    "        q = self.q  \r\n",
    "        a = self.a\r\n",
    "        g = self.g\r\n",
    "        q[st, at] = (1-a) * q[st, at] + a * (rt + g * np.max(q[st1]))\r\n",
    "        \r\n",
    "    def __str__(self):\r\n",
    "        # Returns the q-matrix as string\r\n",
    "        \r\n",
    "        rows, cols = self.q.shape\r\n",
    "        s = \"\"\r\n",
    "        for r in range(rows):\r\n",
    "            for c in range(cols):\r\n",
    "                s += str(self.q[r, c]) + \", \"\r\n",
    "            s += '\\n'\r\n",
    "\r\n",
    "        return s"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Random Maze Generator:"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "def make_test_maze(l, s = 4): \r\n",
    "    # returns a random s x s test maze which the algorithm solves using RL\r\n",
    "    # default size: 4x4\r\n",
    "\r\n",
    "    m = Maze(s, s, l)\r\n",
    "    e = m.env\r\n",
    "\r\n",
    "    for i in range(len(e)):\r\n",
    "        for j in range(len(e[i])):\r\n",
    "            # randomly converts about 35% of maze cells to walls \r\n",
    "            # except for start and end of the maze\r\n",
    "\r\n",
    "            if (i == m.x0 and j == m.y0) or (i == m.x1 and j == m.y1) : continue\r\n",
    "            if random.random() < 0.35:\r\n",
    "                e[i, j] = -1\r\n",
    "    return m"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "def final(M, q):\r\n",
    "    print(\"----------------------BEST SOLUTION OF THE MAZE----------------------\")\r\n",
    "    M.reset()\r\n",
    "    M.show_maze()\r\n",
    "    while not M.has_won():\r\n",
    "        s = M.state_for_agent()\r\n",
    "        a_idx = np.argmax(q[s])\r\n",
    "        M.do_a_move(M.all_actions[a_idx])\r\n",
    "        M.show_trace()\r\n",
    "        \r\n",
    "    M.visualise()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Driver Code:\n",
    "* ### _Exploration_ :\n",
    "    Randomly travelling the maze and updating the q-matrix\n",
    "* ### _Exploitation_ :\n",
    "    Using the currently available q-matrix to travel along the path of maximum reward\n",
    "### Random maze generate:"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "def main1():\r\n",
    "    # DRIVER CODE\r\n",
    "\r\n",
    "    s = int(input(\"Enter the size of the maze:\"))\r\n",
    "    q = Qlearning(s**2, 4)\r\n",
    "\r\n",
    "    l = list(map(int, input(\"Enter space-separated coordinates of start and end points, Press 'd' for default values: \").split()))\r\n",
    "\r\n",
    "    if l[0] == 'd' : l = [0, 0, -1, -1]\r\n",
    "    \r\n",
    "    # Flag boolean value, remains 'False' until a solvable maze is generated\r\n",
    "    go_ahead = False \r\n",
    "    \r\n",
    "    # generating random mazes and manually checking if solvable\r\n",
    "    while not go_ahead:\r\n",
    "        M = make_test_maze(l, s)\r\n",
    "        M.show_maze()\r\n",
    "        ctu = input (\"Press 'n' to generate a new maze else hit 'Enter':\")\r\n",
    "        if ctu.lower() == 'n':\r\n",
    "            continue\r\n",
    "        go_ahead = True\r\n",
    "    \r\n",
    "    # running the algorithm for 500 episodes to generate a q-matrix\r\n",
    "    # to get the most efficient solution\r\n",
    "    for i in range(500):\r\n",
    "        # Maze reset\r\n",
    "        M.reset()  \r\n",
    "        final_score = 0\r\n",
    "        \r\n",
    "        itr = 0\r\n",
    "        while not M.has_won():\r\n",
    "            # iterating until mousy has won in each episode\r\n",
    "            # simulataneously updating the q-matrix\r\n",
    "            itr += 1\r\n",
    "            st = M.state_for_agent() # current state of mousy\r\n",
    "                   \r\n",
    "            if random.random() > 0.7  or i < 150:\r\n",
    "                # exploration: for the first 150 episodes and 30% of the remaining \r\n",
    "                # 350 on average\r\n",
    "                moves = M.compute_possible_moves()\r\n",
    "                random.shuffle(moves) # randomly choosing from the available moves\r\n",
    "                move, move_idx = moves[0]\r\n",
    "\r\n",
    "            else:\r\n",
    "                # exploitation: for 70% of the remaining episodes after first 50 \r\n",
    "                # on average\r\n",
    "                moves = M.all_actions\r\n",
    "                \r\n",
    "                # sorting the q-values in descending order\r\n",
    "                q_val = q.q[st] \r\n",
    "                y = [x for x in enumerate(q_val)]\r\n",
    "                y.sort(key = lambda p: p[1], reverse = True) \r\n",
    "                                \r\n",
    "                # choosing valid new move with maximum reward\r\n",
    "                for z in y:\r\n",
    "                    move_idx = z[0]\r\n",
    "                    move = moves[move_idx]\r\n",
    "                    if M.is_valid_new_agent(move): break\r\n",
    "\r\n",
    "            at = move_idx\r\n",
    "            score = M.do_a_move(move)                     \r\n",
    "            final_score += score \r\n",
    "            rt = score\r\n",
    "            st1 = M.state_for_agent()\r\n",
    "\r\n",
    "            q.update(st, at , rt, st1) # updating the q-matrix after a move\r\n",
    "        \r\n",
    "        print(f\"finished episode {i} with a final score of {final_score} and in {itr} iterations\")\r\n",
    "        print(\"END\")\r\n",
    "\r\n",
    "    print(\"----------------------Q-MATRIX----------------------\\n\", q) # the final q-matrix\r\n",
    "                \r\n",
    "    # printing the most efficient solution\r\n",
    "    final(M, q.q)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Image input maze generate:\n",
    "\n",
    "'ep_part' ought to be an iterable like tuple or list.\n",
    "* the first element defines the total number of episodes\n",
    "* the second element defines the initial number of episodes for which the agent only explores the maze\n",
    "* the third element is a fraction, defining the part of the remaining episodes for which the agent exploits the maze"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "def main2(s, margin = 0.01, way = None, pix = 1, div = 128, aspect = 1, ep_part = [500, 150, 0.7], reward = 0):\r\n",
    "    # DRIVER CODE\r\n",
    "    \r\n",
    "    p = preprocess(s)\r\n",
    "    p.generate(margin, way, pix, div)\r\n",
    "    q = Qlearning(p.h * p.w, 4)\r\n",
    "    M = Maze(p.h, p.w, p.loc, aspect)\r\n",
    "    M.env = p.nim\r\n",
    "    M.show_maze()\r\n",
    "    \r\n",
    "    # running the algorithm for specified number of episodes to generate \r\n",
    "    # a q-matrix to get the most efficient solution\r\n",
    "    for i in range(ep_part[0]):\r\n",
    "        # Maze reset\r\n",
    "        M.reset()  \r\n",
    "        final_score = 0\r\n",
    "        \r\n",
    "        itr = 0\r\n",
    "        while not M.has_won():\r\n",
    "            # iterating until mousy has won in each episode\r\n",
    "            # simulataneously updating the q-matrix\r\n",
    "            itr += 1\r\n",
    "            st = M.state_for_agent() # current state of mousy\r\n",
    "                   \r\n",
    "            if random.random() > ep_part[2]  or i < ep_part[1]:\r\n",
    "                # exploration\r\n",
    "                moves = M.compute_possible_moves()\r\n",
    "                random.shuffle(moves) # randomly choosing from the available moves\r\n",
    "                move, move_idx = moves[0]\r\n",
    "\r\n",
    "            else:\r\n",
    "                # exploitation\r\n",
    "                moves = M.all_actions\r\n",
    "                \r\n",
    "                # sorting the q-values in descending order\r\n",
    "                q_val = q.q[st]\r\n",
    "                y = [x for x in enumerate(q_val)]\r\n",
    "                y.sort(key = lambda p: p[1], reverse = True) \r\n",
    "                                \r\n",
    "                # choosing valid new move with maximum reward\r\n",
    "                for z in y:\r\n",
    "                    move_idx = z[0]\r\n",
    "                    move = moves[move_idx]\r\n",
    "                    if M.is_valid_new_agent(move): break\r\n",
    "\r\n",
    "            at = move_idx\r\n",
    "            score = M.do_a_move(move)                     \r\n",
    "            final_score += score \r\n",
    "            rt = score\r\n",
    "            st1 = M.state_for_agent()\r\n",
    "\r\n",
    "            q.update(st, at , rt, st1) # updating the q-matrix after a move\r\n",
    "        \r\n",
    "        print(f\"finished episode {i} with a final score of {final_score} and in {itr} iterations\")\r\n",
    "        print(\"END\")\r\n",
    "\r\n",
    "    print(\"----------------------Q-MATRIX----------------------\\n\", q) # the final q-matrix\r\n",
    "                \r\n",
    "    # printing the most efficient solution\r\n",
    "    final(M, q.q)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "source": [
    "if __name__ == \"__main__\" :\r\n",
    "    main2(\"F:/New folder/meme/10.png\", margin = 0, pix = 0, ep_part = [100, 30, 0.6])"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "finished episode 0 with a final score of 1958.6999999998568 and in 9314 iterations\n",
      "END\n",
      "finished episode 1 with a final score of 2545.29999999999 and in 3448 iterations\n",
      "END\n",
      "finished episode 2 with a final score of 2650.900000000009 and in 2392 iterations\n",
      "END\n",
      "finished episode 3 with a final score of 2557.699999999993 and in 3324 iterations\n",
      "END\n",
      "finished episode 4 with a final score of 2223.4999999999172 and in 6666 iterations\n",
      "END\n",
      "finished episode 5 with a final score of 1955.099999999856 and in 9350 iterations\n",
      "END\n",
      "finished episode 6 with a final score of 2113.099999999892 and in 7770 iterations\n",
      "END\n",
      "finished episode 7 with a final score of 2449.8999999999683 and in 4402 iterations\n",
      "END\n",
      "finished episode 8 with a final score of 2598.700000000002 and in 2914 iterations\n",
      "END\n",
      "finished episode 9 with a final score of 1819.8999999998778 and in 10702 iterations\n",
      "END\n",
      "finished episode 10 with a final score of 2093.6999999998875 and in 7964 iterations\n",
      "END\n",
      "finished episode 11 with a final score of 1873.4999999998374 and in 10166 iterations\n",
      "END\n",
      "finished episode 12 with a final score of 2526.899999999986 and in 3632 iterations\n",
      "END\n",
      "finished episode 13 with a final score of 2612.1000000000054 and in 2780 iterations\n",
      "END\n",
      "finished episode 14 with a final score of 2674.700000000008 and in 2154 iterations\n",
      "END\n",
      "finished episode 15 with a final score of 1683.1000000000022 and in 12070 iterations\n",
      "END\n",
      "finished episode 16 with a final score of 2821.2999999999997 and in 688 iterations\n",
      "END\n",
      "finished episode 17 with a final score of 1934.4999999998513 and in 9556 iterations\n",
      "END\n",
      "finished episode 18 with a final score of 2710.100000000006 and in 1800 iterations\n",
      "END\n",
      "finished episode 19 with a final score of 1497.3000000001712 and in 13928 iterations\n",
      "END\n",
      "finished episode 20 with a final score of 2442.2999999999665 and in 4478 iterations\n",
      "END\n",
      "finished episode 21 with a final score of 2107.6999999998907 and in 7824 iterations\n",
      "END\n",
      "finished episode 22 with a final score of 2053.499999999878 and in 8366 iterations\n",
      "END\n",
      "finished episode 23 with a final score of 1770.2999999999229 and in 11198 iterations\n",
      "END\n",
      "finished episode 24 with a final score of 1592.9000000000842 and in 12972 iterations\n",
      "END\n",
      "finished episode 25 with a final score of 2499.4999999999795 and in 3906 iterations\n",
      "END\n",
      "finished episode 26 with a final score of 2275.0999999999285 and in 6150 iterations\n",
      "END\n",
      "finished episode 27 with a final score of 2430.499999999964 and in 4596 iterations\n",
      "END\n",
      "finished episode 28 with a final score of 2821.0999999999995 and in 690 iterations\n",
      "END\n",
      "finished episode 29 with a final score of 2049.499999999877 and in 8406 iterations\n",
      "END\n",
      "finished episode 30 with a final score of 2876.5 and in 136 iterations\n",
      "END\n",
      "finished episode 31 with a final score of 2876.9 and in 132 iterations\n",
      "END\n",
      "finished episode 32 with a final score of 2879.3 and in 108 iterations\n",
      "END\n",
      "finished episode 33 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 34 with a final score of 2879.7 and in 104 iterations\n",
      "END\n",
      "finished episode 35 with a final score of 2880.3 and in 98 iterations\n",
      "END\n",
      "finished episode 36 with a final score of 2878.5 and in 116 iterations\n",
      "END\n",
      "finished episode 37 with a final score of 2882.5 and in 76 iterations\n",
      "END\n",
      "finished episode 38 with a final score of 2880.3 and in 98 iterations\n",
      "END\n",
      "finished episode 39 with a final score of 2880.9 and in 92 iterations\n",
      "END\n",
      "finished episode 40 with a final score of 2878.9 and in 112 iterations\n",
      "END\n",
      "finished episode 41 with a final score of 2880.1 and in 100 iterations\n",
      "END\n",
      "finished episode 42 with a final score of 2878.9 and in 112 iterations\n",
      "END\n",
      "finished episode 43 with a final score of 2877.7 and in 124 iterations\n",
      "END\n",
      "finished episode 44 with a final score of 2879.3 and in 108 iterations\n",
      "END\n",
      "finished episode 45 with a final score of 2881.1 and in 90 iterations\n",
      "END\n",
      "finished episode 46 with a final score of 2881.5 and in 86 iterations\n",
      "END\n",
      "finished episode 47 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 48 with a final score of 2878.3 and in 118 iterations\n",
      "END\n",
      "finished episode 49 with a final score of 2877.9 and in 122 iterations\n",
      "END\n",
      "finished episode 50 with a final score of 2880.1 and in 100 iterations\n",
      "END\n",
      "finished episode 51 with a final score of 2882.1 and in 80 iterations\n",
      "END\n",
      "finished episode 52 with a final score of 2881.9 and in 82 iterations\n",
      "END\n",
      "finished episode 53 with a final score of 2882.3 and in 78 iterations\n",
      "END\n",
      "finished episode 54 with a final score of 2881.5 and in 86 iterations\n",
      "END\n",
      "finished episode 55 with a final score of 2880.9 and in 92 iterations\n",
      "END\n",
      "finished episode 56 with a final score of 2878.3 and in 118 iterations\n",
      "END\n",
      "finished episode 57 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 58 with a final score of 2880.1 and in 100 iterations\n",
      "END\n",
      "finished episode 59 with a final score of 2880.7 and in 94 iterations\n",
      "END\n",
      "finished episode 60 with a final score of 2878.9 and in 112 iterations\n",
      "END\n",
      "finished episode 61 with a final score of 2878.7 and in 114 iterations\n",
      "END\n",
      "finished episode 62 with a final score of 2880.7 and in 94 iterations\n",
      "END\n",
      "finished episode 63 with a final score of 2878.5 and in 116 iterations\n",
      "END\n",
      "finished episode 64 with a final score of 2880.7 and in 94 iterations\n",
      "END\n",
      "finished episode 65 with a final score of 2881.5 and in 86 iterations\n",
      "END\n",
      "finished episode 66 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 67 with a final score of 2882.3 and in 78 iterations\n",
      "END\n",
      "finished episode 68 with a final score of 2881.1 and in 90 iterations\n",
      "END\n",
      "finished episode 69 with a final score of 2879.1 and in 110 iterations\n",
      "END\n",
      "finished episode 70 with a final score of 2881.5 and in 86 iterations\n",
      "END\n",
      "finished episode 71 with a final score of 2879.9 and in 102 iterations\n",
      "END\n",
      "finished episode 72 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 73 with a final score of 2880.7 and in 94 iterations\n",
      "END\n",
      "finished episode 74 with a final score of 2878.9 and in 112 iterations\n",
      "END\n",
      "finished episode 75 with a final score of 2879.3 and in 108 iterations\n",
      "END\n",
      "finished episode 76 with a final score of 2881.1 and in 90 iterations\n",
      "END\n",
      "finished episode 77 with a final score of 2881.3 and in 88 iterations\n",
      "END\n",
      "finished episode 78 with a final score of 2877.7 and in 124 iterations\n",
      "END\n",
      "finished episode 79 with a final score of 2877.5 and in 126 iterations\n",
      "END\n",
      "finished episode 80 with a final score of 2876.9 and in 132 iterations\n",
      "END\n",
      "finished episode 81 with a final score of 2880.5 and in 96 iterations\n",
      "END\n",
      "finished episode 82 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 83 with a final score of 2877.1 and in 130 iterations\n",
      "END\n",
      "finished episode 84 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 85 with a final score of 2879.1 and in 110 iterations\n",
      "END\n",
      "finished episode 86 with a final score of 2879.7 and in 104 iterations\n",
      "END\n",
      "finished episode 87 with a final score of 2881.5 and in 86 iterations\n",
      "END\n",
      "finished episode 88 with a final score of 2880.3 and in 98 iterations\n",
      "END\n",
      "finished episode 89 with a final score of 2881.3 and in 88 iterations\n",
      "END\n",
      "finished episode 90 with a final score of 2880.3 and in 98 iterations\n",
      "END\n",
      "finished episode 91 with a final score of 2879.5 and in 106 iterations\n",
      "END\n",
      "finished episode 92 with a final score of 2878.5 and in 116 iterations\n",
      "END\n",
      "finished episode 93 with a final score of 2881.7 and in 84 iterations\n",
      "END\n",
      "finished episode 94 with a final score of 2880.7 and in 94 iterations\n",
      "END\n",
      "finished episode 95 with a final score of 2879.1 and in 110 iterations\n",
      "END\n",
      "finished episode 96 with a final score of 2880.3 and in 98 iterations\n",
      "END\n",
      "finished episode 97 with a final score of 2878.3 and in 118 iterations\n",
      "END\n",
      "finished episode 98 with a final score of 2879.7 and in 104 iterations\n",
      "END\n",
      "finished episode 99 with a final score of 2881.1 and in 90 iterations\n",
      "END\n",
      "----------------------Q-MATRIX----------------------\n",
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      "0.0, 0.0, 0.0, 0.0, \n",
      "26.33236938713457, 21.377392964679956, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "25.585487282348584, 30.942990320513207, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "18.231468162511312, 13.76510924366941, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "107.05302881552593, 242.71478732140173, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "2800.6812463183655, 2661.8450701761394, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "13.531234911131811, 0.0, 9.718367703605882, 0.0, \n",
      "0.0, 0.0, 9.024976856001157, 11.48358238417856, \n",
      "0.0, 8.741415489365771, 0.0, 10.116961737540782, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "28.12755276609804, 22.68785281332045, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 28.544503146898872, 20.057933208304778, 0.0, \n",
      "0.0, 0.0, 18.342363992425092, 24.008124738346478, \n",
      "0.0, 15.766176024908383, 0.0, 20.76549107472069, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "51.2124045871857, 0.0, 128.43226692310745, 0.0, \n",
      "0.0, 0.0, 168.4679266106752, 49.320814146659494, \n",
      "0.0, 199.23932211811737, 0.0, 86.53339566043253, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "2831.1659680005796, 2670.7904637649544, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "15.087547634509448, 11.709783806452991, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "30.447548210212503, 23.158358220315414, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "43.096154047922695, 101.31895910601273, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "2860.5652828584034, 2771.5047337036626, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 13.490331275036201, 16.370024495322653, 0.0, \n",
      "0.0, 0.0, 17.33034154884413, 15.42757933033521, \n",
      "0.0, 0.0, 21.393227941297518, 16.198945953918123, \n",
      "0.0, 0.0, 28.187781962674176, 18.300839505374924, \n",
      "0.0, 23.993941123487474, 33.83836075690392, 23.780406005736012, \n",
      "0.0, 0.0, 38.442679285202615, 25.420997857527276, \n",
      "0.0, 0.0, 43.68116549833912, 27.90604135170136, \n",
      "0.0, 0.0, 49.10368968869338, 32.870860306837734, \n",
      "0.0, 0.0, 57.38693879739547, 35.953879720711846, \n",
      "0.0, 0.0, 67.96827106225595, 36.05190554894616, \n",
      "0.0, 82.55488484092079, 0.0, 42.37683708769785, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 1352.578611443817, 0.0, \n",
      "0.0, 0.0, 2754.235448293062, 625.7998642236665, \n",
      "0.0, 2710.1984996376573, 2889.9232375572155, 2411.816713968137, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "0.0, 0.0, 0.0, 0.0, \n",
      "\n",
      "----------------------BEST SOLUTION OF THE MAZE----------------------\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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vSsXpSeAttl9MUfH6G0kHtqz/C9vHlNPWuQrs9eUBB9neUX5+EDio24aS1k9nJX+aXT0WFxGD1Mc0jbOZs+Jk+x7b95affwo8DDyv1wJrvy2lzB/ZNdbb3mB7le1Ve7Nv3eIiYqHN7x7eiukKTTmtn0dJlStOAJKOB/YB7mtZ/KGyqXuxpDkDTK+9tA9JWml7h6SVFFE3IsaAyqmiR2yv6nos6Trg+R1Wndc6Y9tS97uCZZz5HLDO9nTd8lyKQLkPRU7sDwAXznayvQa86UzhF5U/v9LjcSJiGPUvEfcp3dZJqlRxknQA8A/AebafGXrTUjvcJekzwPvmOp8qj6VcAXwLeKGkbZLOpAh0r5Z0L3BKOR8RY2IQvbT8U8UJulScJO0DXA181vZVbetWlj9Fcf/v9vb9281Zw7N9RpdVJ8+1b0SMqME8Y3cR8MWyEvVj4E0AklYB77B9VrnslcBzJb213O+tZY/s5ZKeR9EC3wq8Y64Ch36kxbAO6h7WwfaDMqzfC+S7qW1ALwC1/SgdKk62twBnlZ8/D3y+y/4nzbfMoQ94EbEIRnAURRUJeBExQ14eEBHNkYAXEU2RGl5ENIPJC0AjohmSxCcimiUBLyKaQh7PiJeAFxF7GtG3GVeRgBcRM+QeXkQ0xiCGli2GBLyImCk1vMUxiIHgwzwQfpxkUP+I6M+rn4bS0Ae8iFgECXgR0QTj/OBxr4m4PyrpB2XyjKvb0qZFxIjTlCtNo6bXRNybgd+z/fvAPRTJNCJiHMwva9lI6SkRt+2v2d5dzt4EHLIA5xYRi2RAeWkHrnZeWuDtwFe7rUwi7ogRNIAanqTlkjZLurf8uazLdpOStpbTppblR0i6WdKEpC+UCX9mVSvgSToP2A1c3m2bJOKOGD0Dylp2DnC97aOA68v5Tn5l+5hyOr1l+YeBi22/AHgMOHOuAnsOeGUGodcBf2KP6UjjiCYyYFeb6lkDXFZ+vowi1WIlZWrGk4Dp1I2V9u8p4ElaDbwfON32k70cIyKG1zzu4a2YvmVVTuvnUcxBLcm0HwQO6rLd0vLYN0l6fbnsucDjLX0J24CD5ypwzufwykTcJ1Jc2DbgAope2X2BzUWg5Sbbc+aEjIjhN8/n8B6xvarrsaTrgOd3WHVe64xtS11LPcz2dklHAjdIug14ovIZtug1EfclvRQWESOgP83V8lA+pds6SQ9JWml7h6SVwMNdjrG9/Hm/pG8AxwJfAg6UtFdZyzsE2D7X+fSjlzYixsyAOi02AevKz+uAr8w4D2mZpH3LzyuAVwB3lv0GXwfeONv+7YZ+aFkG9g/GsP6eh/W8xt5guiEvAr4o6Uzgx8CbACStAt5h+yzgRcCnJE1RVNAusn1nuf8HgCsl/RXwPSq0PIc+4EXE4A1iLK3tR4GTOyzfApxVfv4m8JIu+98PHD+fMhPwImJPBibH80mzBLyImGFc35aSgBcRM43pWIIEvIiYITW8iGiGEX31UxUJeBGxBwFKp0VENIVyDy8iGiFN2ohojv6NpR02CXgRMUN6aSOiOVLDGx1Nz3Cf62/29dfm9NJGRJOMZ7xLwIuImcb1sZQ5XwAqaaOkhyXd3mHdn0ty+WK+iBgXg0niM3BV3nh8KbC6faGkQ4FTgZ/0+ZwiYjEZmKo4jZg5A57tG4GdHVZdTJG5bPTCfER0JYxcbRo1Pd3Dk7QG2G77+2XWstm2XQ+sB1jKfr0UFxGDNjWC1bcK5p3ER9J+wH8Gzq+yve0NtlfZXrU3+863uIgYtAE1aSUtl7RZ0r3lz2UdtnmVpK0t06+nc9NKulTSD1vWHTNXmb1kLftt4Ajg+5J+RJEe7buSOuWejIgRNKAm7TnA9baPAq4v5/dg++u2j7F9DHAS8CTwtZZN/mJ6ve2tcxU47yat7duA35yeL4PeKtuPzPdYETGkBnN/bg1wYvn5MuAbFJnIunkj8FXbT/ZaYJXHUq4AvgW8UNK2MqVaRIytio+k1A+KB9neUX5+EDhoju3XAle0LfuQpFslXTydv3Y2c9bwbJ8xx/rD5zpGRIyQ+WUtWyFpS8v8BtsbpmckXQd0ut113h5F2pa6v7JA0kqKdI3Xtiw+lyJQ7gNsoKgdXjjbyY7lSItxSt48TtcyzIb193ztT7fOa/vjT+u5tbeHedyfe8T2qm4rbZ/StQzpIUkrbe8oA9rDs5TzJuBq20+3HHu6drhL0meA9811sr10WkTEuBtMk3YTsK78vA74yizbnkFbc7YMkqh4Nu71wIzRYO0S8CJiTwamXG2q5yLg1ZLuBU4p55G0StKnpzeSdDhwKPCPbftfLuk24DZgBfBXcxU4lk3aiKhjMONkbT8KnNxh+RbgrJb5HwEHd9jupPmWmYAXETON4LCxKhLwImJPBibHc2hZAl5EtDE4AS8imiJN2ohohOle2jGUgBcRM6WGFxGNkYAXEY1gw+TkYp/FgkjAi4iZUsNbHEmqHIMwrH9np733mHltf48f7U/BCXgR0Qx9GSc7lBLwImJPBo/pg8c9J+KW9C5JP5B0h6SPLNwpRsTATU5Vm0ZMlRrepcB/Bz47vUDSqyjeR/9S27sk/WaXfSNi1Nhjm6axyivebyzfR9XqPwIX2d5VbjPbm0ojYtSMaadFry8A/R3gX0i6WdI/SvqDbhtKWi9pi6QtT7Orx+IiYpA8NVVpGjW9dlrsBSwHTgD+APiipCPtmf8tlAk9NgAcoOXj+d9GxFgZzAtAF0OvAW8b8OUywH1b0hTFK5Z/1rczi4jFMcYvD+i1Sfu/gFcBSPodijRpScQdMQYMeHKy0jRqek3EvRE4snxU5UpgXafmbESMIJcvAK0y1SDpj8vH2qYkdU31KGm1pLslTUg6p2X5EWU/woSkL0jaZ64y6yTifvNc+0bEaPJgmrS3A/8a+FS3DSQtAT4OvJriVtotkjbZvhP4MHCx7SslfRI4E/jEbAUmTWNEzDSAGp7tu2zfPcdmxwMTtu+3/RRFi3JNmYv2JOCqcrvLKHLTzmqgQ8t+wWOPXOerftxh1QoW9x5gyk/541L+YXUP8Aseu/Y6X7Wi4uZLJW1pmd9QPpnRLwcDD7TMbwNeBjwXeNz27pblM1I5thtowLP9vE7LJW2x3bUNv9BSfspvcvntbK/u17EkXQc8v8Oq82x/pV/lVJWXB0TEgrF9Ss1DbAcObZk/pFz2KHCgpL3KWt708lnlHl5EDLNbgKPKHtl9gLXApvKpkK8Dbyy3WwfMWWMcloDXzzZ/yk/5KX8ESHqDpG3Ay4F/kHRtufy3JF0DUNbezgauBe4Cvmj7jvIQHwD+TNIExT29S+YsM4/PRURTDEsNLyJiwSXgRURjDDTgdRsi0rJ+33KIyEQ5ZOTwPpZ9qKSvS7qzHM7y7g7bnCjpCUlby+n8fpVfHv9Hkm4rj72lw3pJ+tvy+m+VdFwfy35hy3VtlfRzSe9p26av19/pbdmSlkvaLOne8ueyLvuuK7e5V9K6Ppb/0fJN3bdKulrSgV32nfW7qlH+ByVtb/kdv7bLvrP+W4ke2R7IBCwB7gOOpHjZwPeBo9u2+U/AJ8vPa4Ev9LH8lcBx5effAO7pUP6JwN8v4O/gR8CKWda/FvgqIIpXb928gN/Fg8BhC3n9wCuB44DbW5Z9BDin/HwO8OEO+y0H7i9/Lis/L+tT+acCe5WfP9yp/CrfVY3yPwi8r8L3M+u/lUy9TYOs4XUcItK2zRqKISJQDBk5uRxCUpvtHba/W37+BUWPz5xPZg/YGuCzLtxE8ZzRygUo52TgPtudRr30je0bgZ1ti1u/427DgU4DNtveafsxYDMw74dhO5Vv+2v+p6fzb6J4fmtBdLn+Kqr8W4keDDLgdRoi0h5wntmm/KN8gqK7ua/KpvKxwM0dVr9c0vclfVXSi/tctIGvSfqOpPUd1lf5HfXDWuCKLusW8voBDrK9o/z8IHBQh20G9Xt4O0WNupO5vqs6zi6b1Bu7NOkHdf2N07hOC0nPBr4EvMf2z9tWf5eimfdS4L9RvPevn/7I9nHAa4B3Snpln48/p/LhzdOBv+uweqGvfw8u2m+L8lyUpPOA3cDlXTZZqO/qE8BvA8cAO4D/2qfjRgWDDHjdhoh03EbSXsBzKIaQ9IWkvSmC3eW2v9y+3vbPbf+/8vM1wN6Sqg6inpPt7eXPh4GrKZourar8jup6DfBd2w91OL8Fvf7SQ9PN9PJnpwRQC/p7kPRW4HXAn5RBd4YK31VPbD9ke9JF4tf/2eW4g/g7aKRBBryOQ0TattlEMUQEiiEjN3T7g5yv8l7gJcBdtv+6yzbPn75nKOl4it9PXwKupP0l/cb0Z4qb57e3bbYJeEvZW3sC8ERL869fzqBLc3Yhr79F63fcbTjQtcCpkpaVTb5Ty2W1SVoNvB843faTXbap8l31Wn7rPdk3dDlulX8r0YtB9pBQ9ELeQ9EDdV657EKKPz6ApRRNrQng28CRfSz7jyiaT7cCW8vptcA7gHeU25wN3EHRK3YT8Id9LP/I8rjfL8uYvv7W8kXxssP7gNuAVX3+/e9PEcCe07Jswa6fIrDuAJ6muA91JsU92euBe4HrgOXltquAT7fs+/by72ACeFsfy5+guD82/Tcw/VTAbwHXzPZd9an8z5Xf7a0UQWxle/nd/q1kqj9laFlENEbjOi0iorkS8CKiMRLwIqIxEvAiojES8CKiMRLwIqIxEvAiojH+P200sDPXjyYpAAAAAElFTkSuQmCC"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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IYEp4VQpOTwJvsf1iioLX30g6sGX7X9g+ppy2zpVhry8POMj2jnL+QeCgbgklrZ8elfxpdvWYXUQMUh+HaZzNnAUn2/fYvrec/ynwMPC8XjOs/baUcvzIrrHe9gbbq2yv2pt962YXEQttfvfwVkwXaMpp/TxyqlxwApB0PLAPcF/L6g+VVd2LJc0ZYHptpX1I0krbOyStpIi6ETEGVE4VPWJ7VddjSdcBz++w6bzWBduWut8VLOPM54B1tqfLludSBMp9KMbE/gBw4Wwn22vAmx4p/KLy8ys9HicihlH/BuI+pds2SZUKTpIOAP4BOM/2M11vWkqHuyR9BnjfXOdT5bGUK4BvAS+UtE3SmRSB7tWS7gVOKZcjYkwMopWWfyo4QZeCk6R9gKuBz9q+qm3byvJTFPf/bm/fv92cJTzbZ3TZdPJc+0bEiBrMM3YXAV8sC1E/Bt4EIGkV8A7bZ5XrXgk8V9Jby/3eWrbIXi7peRQ18K3AO+bKcOh7Wgxrp+5h7Ww/KMP6u0B+m9oG9AJQ24/SoeBkewtwVjn/eeDzXfY/ab55Dn3Ai4hFMIK9KKpIwIuIGfLygIhojgS8iGiKlPAiohlMXgAaEc2QQXwiolkS8CKiKeTxjHgJeBGxpxF9m3EVCXgRMUPu4UVEYwyia9liSMCLiJlSwlscg+gIPswd4cdJOvWPiP68+mkoDX3Ai4hFkIAXEU0wzg8e9zoQ90cl/aAcPOPqtmHTImLEacqVplHT60Dcm4Hfs/37wD0Ug2lExDiY36hlI6Wngbhtf8327nLxJuCQBTi3iFgkAxqXduBqj0sLvB34areNGYg7YgQNoIQnabmkzZLuLT+XdUk3KWlrOW1qWX+EpJslTUj6Qjngz6xqBTxJ5wG7gcu7pclA3BGjZ0Cjlp0DXG/7KOD6crmTX9k+ppxOb1n/YeBi2y8AHgPOnCvDngNeOYLQ64A/sce0p3FEExmwq031rAEuK+cvoxhqsZJyaMaTgOmhGyvt31PAk7QaeD9wuu0nezlGRAyvedzDWzF9y6qc1s8jm4NaBtN+EDioS7ql5bFvkvT6ct1zgcdb2hK2AQfPleGcz+GVA3GfSHFh24ALKFpl9wU2F4GWm2zPOSZkRAy/eT6H94jtVV2PJV0HPL/DpvNaF2xb6prrYba3SzoSuEHSbcATlc+wRa8DcV/SS2YRMQL6U10tD+VTum2T9JCklbZ3SFoJPNzlGNvLz/slfQM4FvgScKCkvcpS3iHA9rnOpx+ttBExZgbUaLEJWFfOrwO+MuM8pGWS9i3nVwCvAO4s2w2+Drxxtv3bDX3XsnTsH4xh/Z6H9bzG3mCaIS8CvijpTODHwJsAJK0C3mH7LOBFwKckTVEU0C6yfWe5/weAKyX9FfA9KtQ8hz7gRcTgDaIvre1HgZM7rN8CnFXOfxN4SZf97weOn0+eCXgRsScDk+P5pFkCXkTMMK5vS0nAi4iZxrQvQQJeRMyQEl5ENMOIvvqpigS8iNiDAKXRIiKaQrmHFxGNkCptRDRH//rSDpsEvIiYIa20EdEcKeGNjqaPcJ/rb/b11+a00kZEk4xnvEvAi4iZxvWxlDlfACppo6SHJd3eYdufS3L5Yr6IGBeDGcRn4Kq88fhSYHX7SkmHAqcCP+nzOUXEYjIwVXEaMXMGPNs3Ajs7bLqYYuSy0QvzEdGVMHK1adT0dA9P0hpgu+3vl6OWzZZ2PbAeYCn79ZJdRAza1AgW3yqY9yA+kvYD/jNwfpX0tjfYXmV71d7sO9/sImLQBlSllbRc0mZJ95afyzqkeZWkrS3Tr6fHppV0qaQftmw7Zq48exm17LeBI4DvS/oRxfBo35XUaezJiBhBA6rSngNcb/so4PpyeQ+2v277GNvHACcBTwJfa0nyF9PbbW+dK8N5V2lt3wb85vRyGfRW2X5kvseKiCE1mPtza4ATy/nLgG9QjETWzRuBr9p+stcMqzyWcgXwLeCFkraVQ6pFxNiq+EhK/aB4kO0d5fyDwEFzpF8LXNG27kOSbpV08fT4tbOZs4Rn+4w5th8+1zEiYoTMb9SyFZK2tCxvsL1hekHSdUCn213n7ZGlban7KwskraQYrvHaltXnUgTKfYANFKXDC2c72bHsaTFOgzeP07UMs2H9nq/96dZ5pT/+tJ5re3uYx/25R2yv6rbR9ild85AekrTS9o4yoD08Sz5vAq62/XTLsadLh7skfQZ431wn20ujRUSMu8FUaTcB68r5dcBXZkl7Bm3V2TJIouLZuNcDM3qDtUvAi4g9GZhytamei4BXS7oXOKVcRtIqSZ+eTiTpcOBQ4B/b9r9c0m3AbcAK4K/mynAsq7QRUcdg+snafhQ4ucP6LcBZLcs/Ag7ukO6k+eaZgBcRM41gt7EqEvAiYk8GJseza1kCXkS0MTgBLyKaIlXaiGiE6VbaMZSAFxEzpYQXEY2RgBcRjWDD5ORin8WCSMCLiJlSwlscGVQ5BmFY/85Oe+8x80p/jx/tT8YJeBHRDH3pJzuUEvAiYk8Gj+mDxz0PxC3pXZJ+IOkOSR9ZuFOMiIGbnKo2jZgqJbxLgf8OfHZ6haRXUbyP/qW2d0n6zS77RsSoscd2mMYqr3i/sXwfVav/CFxke1eZZrY3lUbEqBnTRoteXwD6O8C/kHSzpH+U9AfdEkpaL2mLpC1Ps6vH7CJikDw1VWkaNb02WuwFLAdOAP4A+KKkI+2Z/y2UA3psADhAy8fzv42IsTKYF4Auhl4D3jbgy2WA+7akKYpXLP+sb2cWEYtjjF8e0GuV9n8BrwKQ9DsUw6RlIO6IMWDAk5OVplHT60DcG4Ejy0dVrgTWdarORsQIcvkC0CpTDZL+uHysbUpS16EeJa2WdLekCUnntKw/omxHmJD0BUn7zJVnnYG43zzXvhExmjyYKu3twL8GPtUtgaQlwMeBV1PcSrtF0ibbdwIfBi62faWkTwJnAp+YLcMM0xgRMw2ghGf7Ltt3z5HseGDC9v22n6KoUa4px6I9CbiqTHcZxdi0sxpo17Jf8Ngj1/mqH3fYtILFvQeY/JP/uOR/WN0D/ILHrr3OV62omHyppC0tyxvKJzP65WDggZblbcDLgOcCj9ve3bJ+xlCO7QYa8Gw/r9N6SVtsd63DL7Tkn/ybnH8726v7dSxJ1wHP77DpPNtf6Vc+VeXlARGxYGyfUvMQ24FDW5YPKdc9Chwoaa+ylDe9fla5hxcRw+wW4KiyRXYfYC2wqXwq5OvAG8t064A5S4zDEvD6WedP/sk/+Y8ASW+QtA14OfAPkq4t1/+WpGsAytLb2cC1wF3AF23fUR7iA8CfSZqguKd3yZx55vG5iGiKYSnhRUQsuAS8iGiMgQa8bl1EWrbvW3YRmSi7jBzex7wPlfR1SXeW3Vne3SHNiZKekLS1nM7vV/7l8X8k6bby2Fs6bJekvy2v/1ZJx/Ux7xe2XNdWST+X9J62NH29/k5vy5a0XNJmSfeWn8u67LuuTHOvpHV9zP+j5Zu6b5V0taQDu+w7629VI/8PStre8h2/tsu+s/5biR7ZHsgELAHuA46keNnA94Gj29L8J+CT5fxa4At9zH8lcFw5/xvAPR3yPxH4+wX8Dn4ErJhl+2uBrwKiePXWzQv4WzwIHLaQ1w+8EjgOuL1l3UeAc8r5c4APd9hvOXB/+bmsnF/Wp/xPBfYq5z/cKf8qv1WN/D8IvK/C7zPrv5VMvU2DLOF17CLSlmYNRRcRKLqMnFx2IanN9g7b3y3nf0HR4jPnk9kDtgb4rAs3UTxntHIB8jkZuM92p14vfWP7RmBn2+rW37hbd6DTgM22d9p+DNgMzPth2E752/6a/+np/Jsont9aEF2uv4oq/1aiB4MMeJ26iLQHnGfSlH+UT1A0N/dVWVU+Fri5w+aXS/q+pK9KenGfszbwNUnfkbS+w/Yq31E/rAWu6LJtIa8f4CDbO8r5B4GDOqQZ1PfwdooSdSdz/VZ1nF1WqTd2qdIP6vobp3GNFpKeDXwJeI/tn7dt/i5FNe+lwH+jeO9fP/2R7eOA1wDvlPTKPh9/TuXDm6cDf9dh80Jf/x5c1N8W5bkoSecBu4HLuyRZqN/qE8BvA8cAO4D/2qfjRgWDDHjduoh0TCNpL+A5FF1I+kLS3hTB7nLbX27fbvvntv9fOX8NsLekqp2o52R7e/n5MHA1RdWlVZXvqK7XAN+1/VCH81vQ6y89NF1NLz87DQC1oN+DpLcCrwP+pAy6M1T4rXpi+yHbky4Gfv2fXY47iL+DRhpkwOvYRaQtzSaKLiJQdBm5odsf5HyV9wIvAe6y/ddd0jx/+p6hpOMpvp++BFxJ+0v6jel5ipvnt7cl2wS8pWytPQF4oqX61y9n0KU6u5DX36L1N+7WHeha4FRJy8oq36nlutokrQbeD5xu+8kuaar8Vr3m33pP9g1djlvl30r0YpAtJBStkPdQtECdV667kOKPD2ApRVVrAvg2cGQf8/4jiurTrcDWcnot8A7gHWWas4E7KFrFbgL+sI/5H1ke9/tlHtPX35q/KF52eB9wG7Cqz9///hQB7Dkt6xbs+ikC6w7gaYr7UGdS3JO9HrgXuA5YXqZdBXy6Zd+3l38HE8Db+pj/BMX9sem/gemnAn4LuGa236pP+X+u/G1vpQhiK9vz7/ZvJVP9KV3LIqIxGtdoERHNlYAXEY2RgBcRjZGAFxGNkYAXEY2RgBcRjZGAFxGN8f8Bf2GwMw0I72IAAAAASUVORK5CYII="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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rUnB6EniL7RdTFLz+RtKBLdv/wvYx5bR1rgx7fXnAQbZ3lPMPAgd1Syhp/fSo5E+zq8fsImKQ+jhM42zmLDjZvsf2veX8T4GHgef1mmHtt6WU40d2jfW2N9heZXvV3uxbN7uIWGjzu4e3YrpAU07r55FT5YITgKTjgX2A+1pWf6is6l4sac4A02sr7UOSVtreIWklRdSNiDGgcqroEduruh5Lug54fodN57Uu2LbU/a5gGWc+B6yzPV22PJciUO5DMSb2B4ALZzvZXgPe9EjhF5WfX+nxOBExjPo3EPcp3bZJqlRwknQA8A/Aebaf6XrTUjrcJekzwPvmOp8qj6VcAXwLeKGkbZLOpAh0r5Z0L3BKuRwRY2IQrbT8U8EJuhScJO0DXA181vZVbdtWlp+iuP93e/v+7eYs4dk+o8umk+faNyJG1GCesbsI+GJZiPox8CYASauAd9g+q1z3SuC5kt5a7vfWskX2cknPo6iBbwXeMVeGQ9/TYlg7dQ9rZ/tBGdbfBfLb1DagF4DafpQOBSfbW4CzyvnPA5/vsv9J881z6ANeRCyCEexFUUUCXkTMkJcHRERzJOBFRFOkhBcRzWDyAtCIaIYM4hMRzZKAFxFNIY9nxEvAi4g9jejbjKtIwIuIGXIPLyIaYxBdyxZDAl5EzJQS3uIYREfwYe4IP07SqX9E9OfVT0Np6ANeRCyCBLyIaIJxfvC414G4PyrpB+XgGVe3DZsWESNOU640jZpeB+LeDPye7d8H7qEYTCMixsH8Ri0bKT0NxG37a7Z3l4s3AYcswLlFxCIZ0Li0A1d7XFrg7cBXu23MQNwRI2gAJTxJyyVtlnRv+bmsS7pJSVvLaVPL+iMk3SxpQtIXygF/ZlUr4Ek6D9gNXN4tTQbijhg9Axq17BzgettHAdeXy538yvYx5XR6y/oPAxfbfgHwGHDmXBn2HPDKEYReB/yJPaY9jSOayIBdbapnDXBZOX8ZxVCLlZRDM54ETA/dWGn/ngKepNXA+4HTbT/ZyzEiYnjN4x7eiulbVuW0fh7ZHNQymPaDwEFd0i0tj32TpNeX654LPN7SlrANOHiuDOd8Dq8ciPtEigvbBlxA0Sq7L7C5CLTcZHvOMSEjYvjN8zm8R2yv6nos6Trg+R02nde6YNtS11wPs71d0pHADZJuA56ofIYteh2I+5JeMouIEdCf6mp5KJ/SbZukhySttL1D0krg4S7H2F5+3i/pG8CxwJeAAyXtVZbyDgG2z3U+/WiljYgxM6BGi03AunJ+HfCVGechLZO0bzm/AngFcGfZbvB14I2z7d9u6LuWpWP/YAzr9zys5zX2BtMMeRHwRUlnAj8G3gQgaRXwDttnAS8CPiVpiqKAdpHtO8v9PwBcKemvgO9RoeY59AEvIgZvEH1pbT8KnNxh/RbgrHL+m8BLuux/P3D8fPJMwIuIPRmYHM8nzRLwImKGcX1bSgJeRMw0pn0JEvAiYoaU8CKiGUb01U9VJOBFxB4EKI0WEdEUyj28iGiEVGkjojn615d22CTgRcQMaaWNiOZICW90NH2E+1x/s6+/NqeVNiKaZDzjXQJeRMw0ro+lzPkCUEkbJT0s6fYO2/5ckssX80XEuBjMID4DV+WNx5cCq9tXSjoUOBX4SZ/PKSIWk4GpitOImTPg2b4R2Nlh08UUI5eNXpiPiK6EkatNo6ane3iS1gDbbX+/HLVstrTrgfUAS9mvl+wiYtCmRrD4VsG8B/GRtB/wn4Hzq6S3vcH2Ktur9mbf+WYXEYM2oCqtpOWSNku6t/xc1iHNqyRtbZl+PT02raRLJf2wZdsxc+XZy6hlvw0cAXxf0o8ohkf7rqROY09GxAgaUJX2HOB620cB15fLe7D9ddvH2D4GOAl4EvhaS5K/mN5ue+tcGc67Smv7NuA3p5fLoLfK9iPzPVZEDKnB3J9bA5xYzl8GfINiJLJu3gh81faTvWZY5bGUK4BvAS+UtK0cUi0ixlbFR1LqB8WDbO8o5x8EDpoj/VrgirZ1H5J0q6SLp8evnc2cJTzbZ8yx/fC5jhERI2R+o5atkLSlZXmD7Q3TC5KuAzrd7jpvjyxtS91fWSBpJcVwjde2rD6XIlDuA2ygKB1eONvJjmVPi3EavHmcrmWYDev3fO1Pt84r/fGn9Vzb28M87s89YntVt422T+mah/SQpJW2d5QB7eFZ8nkTcLXtp1uOPV063CXpM8D75jrZXhotImLcDaZKuwlYV86vA74yS9ozaKvOlkESFc/GvR6Y0RusXQJeROzJwJSrTfVcBLxa0r3AKeUyklZJ+vR0IkmHA4cC/9i2/+WSbgNuA1YAfzVXhmNZpY2IOgbTT9b2o8DJHdZvAc5qWf4RcHCHdCfNN88EvIiYaQS7jVWRgBcRezIwOZ5dyxLwIqKNwQl4EdEUqdJGRCNMt9KOoQS8iJgpJbyIaIwEvIhoBBsmJxf7LBZEAl5EzJQS3uLIoMoxCMP6d3bae4+ZV/p7/Gh/Mk7Ai4hm6Es/2aGUgBcRezJ4TB887nkgbknvkvQDSXdI+sjCnWJEDNzkVLVpxFQp4V0K/Hfgs9MrJL2K4n30L7W9S9Jvdtk3IkaNPbbDNFZ5xfuN5fuoWv1H4CLbu8o0s72pNCJGzZg2WvT6AtDfAf6FpJsl/aOkP+iWUNJ6SVskbXmaXT1mFxGD5KmpStOo6bXRYi9gOXAC8AfAFyUdac/8b6Ec0GMDwAFaPp7/bUSMlcG8AHQx9BrwtgFfLgPctyVNUbxi+Wd9O7OIWBxj/PKAXqu0/wt4FYCk36EYJi0DcUeMAQOenKw0jZpeB+LeCBxZPqpyJbCuU3U2IkaQyxeAVplqkPTH5WNtU5K6DvUoabWkuyVNSDqnZf0RZTvChKQvSNpnrjzrDMT95rn2jYjR5MFUaW8H/jXwqW4JJC0BPg68muJW2i2SNtm+E/gwcLHtKyV9EjgT+MRsGWaYxoiYaQAlPNt32b57jmTHAxO277f9FEWNck05Fu1JwFVlussoxqad1UC7lv2Cxx65zlf9uMOmFSzuPcDkn/zHJf/D6h7gFzx27XW+akXF5EslbWlZ3lA+mdEvBwMPtCxvA14GPBd43PbulvUzhnJsN9CAZ/t5ndZL2mK7ax1+oSX/5N/k/NvZXt2vY0m6Dnh+h03n2f5Kv/KpKi8PiIgFY/uUmofYDhzasnxIue5R4EBJe5WlvOn1s8o9vIgYZrcAR5UtsvsAa4FN5VMhXwfeWKZbB8xZYhyWgNfPOn/yT/7JfwRIeoOkbcDLgX+QdG25/rckXQNQlt7OBq4F7gK+aPuO8hAfAP5M0gTFPb1L5swzj89FRFMMSwkvImLBJeBFRGMMNOB16yLSsn3fsovIRNll5PA+5n2opK9LurPszvLuDmlOlPSEpK3ldH6/8i+P/yNJt5XH3tJhuyT9bXn9t0o6ro95v7DlurZK+rmk97Sl6ev1d3pbtqTlkjZLurf8XNZl33Vlmnslretj/h8t39R9q6SrJR3YZd9Zf6sa+X9Q0vaW7/i1Xfad9d9K9Mj2QCZgCXAfcCTFywa+DxzdluY/AZ8s59cCX+hj/iuB48r53wDu6ZD/icDfL+B38CNgxSzbXwt8FRDFq7duXsDf4kHgsIW8fuCVwHHA7S3rPgKcU86fA3y4w37LgfvLz2Xl/LI+5X8qsFc5/+FO+Vf5rWrk/0HgfRV+n1n/rWTqbRpkCa9jF5G2NGsouohA0WXk5LILSW22d9j+bjn/C4oWnzmfzB6wNcBnXbiJ4jmjlQuQz8nAfbY79XrpG9s3AjvbVrf+xt26A50GbLa90/ZjwGZg3g/Ddsrf9tf8T0/n30Tx/NaC6HL9VVT5txI9GGTA69RFpD3gPJOm/KN8gqK5ua/KqvKxwM0dNr9c0vclfVXSi/uctYGvSfqOpPUdtlf5jvphLXBFl20Lef0AB9neUc4/CBzUIc2gvoe3U5SoO5nrt6rj7LJKvbFLlX5Q1984jWu0kPRs4EvAe2z/vG3zdymqeS8F/hvFe//66Y9sHwe8BninpFf2+fhzKh/ePB34uw6bF/r69+Ci/rYoz0VJOg/YDVzeJclC/VafAH4bOAbYAfzXPh03KhhkwOvWRaRjGkl7Ac+h6ELSF5L2pgh2l9v+cvt22z+3/f/K+WuAvSVV7UQ9J9vby8+Hgaspqi6tqnxHdb0G+K7thzqc34Jef+mh6Wp6+dlpAKgF/R4kvRV4HfAnZdCdocJv1RPbD9medDHw6//sctxB/B000iADXscuIm1pNlF0EYGiy8gN3f4g56u8F3gJcJftv+6S5vnT9wwlHU/x/fQl4EraX9JvTM9T3Dy/vS3ZJuAtZWvtCcATLdW/fjmDLtXZhbz+Fq2/cbfuQNcCp0paVlb5Ti3X1SZpNfB+4HTbT3ZJU+W36jX/1nuyb+hy3Cr/VqIXg2whoWiFvIeiBeq8ct2FFH98AEspqloTwLeBI/uY9x9RVJ9uBbaW02uBdwDvKNOcDdxB0Sp2E/CHfcz/yPK43y/zmL7+1vxF8bLD+4DbgFV9/v73pwhgz2lZt2DXTxFYdwBPU9yHOpPinuz1wL3AdcDyMu0q4NMt+769/DuYAN7Wx/wnKO6PTf8NTD8V8FvANbP9Vn3K/3Plb3srRRBb2Z5/t38rmepP6VoWEY3RuEaLiGiuBLyIaIwEvIhojAS8iGiMBLyIaIwEvIhojAS8iGiM/w+RjrAzxinvswAAAABJRU5ErkJggg=="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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/23EiYoj0p4ZXpeL0FPAW2y+mqHj9jaTDGtb/he1V5bRttgI7fXnA4bZ3lZ8fAg5vt6GkdVNZyfeyp8PiIqKfepimcSazVpxs32f7/vLzT4FHgOd1WmDXb0sp80e2jfW219sesz12IAd1W1xEzLe53cNbPlWhKad1cyipcsUJQNJJwGLggYbFHyqbupdLmjXAdNpL+7CkFbZ3SVpBEXUjYgSonCp61PZY22NJNwLPb7HqosYZ25ba3xUs48zngLW2p+qWF1IEysUUObE/AFw608l2GvCmMoVfVv78SofHiYhB1LtE3Ke3WyepUsVJ0qHAPwAX2X5m6E1D7XCPpM8A75vtfKo8lnIN8C3ghZJ2SDqXItC9WtL9wOnlfESMiH700vJPFSdoU3GStBi4Hvis7eua1q0of4ri/t+dzfs3m7WGZ/ucNqtOm23fiBhS/XnG7jLgi2Ul6sfAmwAkjQHvsH1eueyVwHMlvbXc761lj+zVkp5H0QLfBrxjtgIHfqTFoA7qHtTB9v0yqN8L5LvpWp9eAGr7MVpUnGxvBc4rP38e+Hyb/U+da5kDH/AiYgEM4SiKKhLwImKavDwgIuojAS8i6iI1vIioB5MXgEZEPSSJT0TUSwJeRNSFPJoRLwEvIvY3pG8zriIBLyKmyT28iKiNfgwtWwgJeBExXWp4C6MfA8EHeSD8KMmg/iHRm1c/DaSBD3gRsQAS8CKiDkb5weNOE3F/VNIPyuQZ1zelTYuIIadJV5qGTaeJuDcDv2f794H7KJJpRMQomFvWsqHSUSJu21+zva+c3QIcOQ/nFhELpE95afuu67y0wNuBr7ZbmUTcEUOoDzU8ScskbZZ0f/lzaZvtJiRtK6eNDctXSrpV0rikL5QJf2bUVcCTdBGwD7i63TZJxB0xfPqUtewC4CbbxwE3lfOt/Mr2qnI6q2H5h4HLbb8AeBw4d7YCOw54ZQah1wF/Yo/oSOOIOjJgV5u6swa4qvx8FUWqxUrK1IynAlOpGyvt31HAk7QaeD9wlu2nOjlGRAyuOdzDWz51y6qc1s2hmMMbkmk/BBzeZrsl5bG3SHp9uey5wBMNfQk7gCNmK3DW5/DKRNynUFzYDuASil7Zg4DNRaBli+1Zc0JGxOCb43N4j9oea3ss6Ubg+S1WXdQ4Y9tS21KPtr1T0rHAzZLuAJ6sfIYNOk3EfUUnhUXEEOhNc7U8lE9vt07Sw5JW2N4laQXwSJtj7Cx/bpf0DeAE4EvAYZIOKGt5RwI7ZzufXvTSRsSI6VOnxUZgbfl5LfCVaechLZV0UPl5OfAK4O6y3+DrwBtn2r/ZwA8ty8D+/hjU3/OgntfI60835GXAFyWdC/wYeBOApDHgHbbPA14EfErSJEUF7TLbd5f7fwC4VtJfAd+jQstz4ANeRPRfP8bS2n4MOK3F8q3AeeXnbwIvabP/duCkuZSZgBcR+zMwMZpPmiXgRcQ0o/q2lAS8iJhuRMcSJOBFxDSp4UVEPQzpq5+qSMCLiP0IUDotIqIulHt4EVELadJGRH30biztoEnAi4hp0ksbEfWRGt7wqHuG+1x/va+/a04vbUTUyWjGuwS8iJhuVB9LmfUFoJI2SHpE0p0t1v25JJcv5ouIUdGfJD59V+WNx1cCq5sXSjoKOAP4SY/PKSIWkoHJitOQmTXg2b4F2N1i1eUUmcuGL8xHRFvCyNWmYdPRPTxJa4Cdtr9fZi2badt1wDqAJRzcSXER0W+TQ1h9q2DOSXwkHQz8Z+DiKtvbXm97zPbYgRw01+Iiot/61KSVtEzSZkn3lz+XttjmVZK2NUy/nspNK+lKST9sWLdqtjI7yVr228BK4PuSfkSRHu27klrlnoyIIdSnJu0FwE22jwNuKuf3Y/vrtlfZXgWcCjwFfK1hk7+YWm9722wFzrlJa/sO4Den5sugN2b70bkeKyIGVH/uz60BTik/XwV8gyITWTtvBL5q+6lOC6zyWMo1wLeAF0raUaZUi4iRVfGRlO6D4uG2d5WfHwIOn2X7s4FrmpZ9SNLtki6fyl87k1lreLbPmWX9MbMdIyKGyNyyli2XtLVhfr3t9VMzkm4EWt3uumi/Im1L7V9ZIGkFRbrGGxoWX0gRKBcD6ylqh5fOdLIjOdJilJI3j9K1DLJB/T3f8NNtc9r+pDM7bu3tZw735x61PdZupe3T25YhPSxphe1dZUB7ZIZy3gRcb3tvw7Gnaod7JH0GeN9sJ9tJp0VEjLr+NGk3AmvLz2uBr8yw7Tk0NWfLIImKZ+NeD0wbDdYsAS8i9mdg0tWm7lwGvFrS/cDp5TySxiR9emojSccARwH/2LT/1ZLuAO4AlgN/NVuBI9mkjYhu9GecrO3HgNNaLN8KnNcw/yPgiBbbnTrXMhPwImK6IRw2VkUCXkTsz8DEaA4tS8CLiCYGJ+BFRF2kSRsRtTDVSzuCEvAiYrrU8CKiNhLwIqIWbJiYWOizmBcJeBExXWp4CyNJlaMfBvXv7Mz3rprT9vf5sd4UnIAXEfXQk3GyAykBLyL2Z/CIPnjccSJuSe+S9ANJd0n6yPydYkT03cRktWnIVKnhXQn8d+CzUwskvYriffQvtb1H0m+22Tciho09smkaq7zi/ZbyfVSN/iNwme095TYzvak0IobNiHZadPoC0N8B/oWkWyX9o6Q/aLehpHWStkraupc9HRYXEf3kyclK07DptNPiAGAZcDLwB8AXJR1rT/9voUzosR7gUC0bzf82IkZKf14AuhA6DXg7gC+XAe7bkiYpXrH8s56dWUQsjBF+eUCnTdr/BbwKQNLvUKRJSyLuiBFgwBMTlaZh02ki7g3AseWjKtcCa1s1ZyNiCLl8AWiVqQuS/rh8rG1SUttUj5JWS7pX0rikCxqWryz7EcYlfUHS4tnK7CYR95tn2zcihpP706S9E/jXwKfabSBpEfBx4NUUt9Juk7TR9t3Ah4HLbV8r6ZPAucAnZiowaRojYro+1PBs32P73lk2OwkYt73d9tMULco1ZS7aU4Hryu2uoshNO6O+Di37BY8/eqOv+3GLVctZ2HuAKT/lj0r5R3d7gF/w+A03+rrlFTdfImlrw/z68smMXjkCeLBhfgfwMuC5wBO29zUsn5bKsVlfA57t57VaLmmr7bZt+PmW8lN+nctvZnt1r44l6Ubg+S1WXWT7K70qp6q8PCAi5o3t07s8xE7gqIb5I8tljwGHSTqgrOVNLZ9R7uFFxCC7DTiu7JFdDJwNbCyfCvk68MZyu7XArDXGQQl4vWzzp/yUn/KHgKQ3SNoBvBz4B0k3lMt/S9ImgLL2dj5wA3AP8EXbd5WH+ADwZ5LGKe7pXTFrmXl8LiLqYlBqeBER8y4BLyJqo68Br90QkYb1B5VDRMbLISPH9LDsoyR9XdLd5XCWd7fY5hRJT0raVk4X96r88vg/knRHeeytLdZL0t+W13+7pBN7WPYLG65rm6SfS3pP0zY9vf5Wb8uWtEzSZkn3lz+Xttl3bbnN/ZLW9rD8j5Zv6r5d0vWSDmuz74zfVRflf1DSzobf8Wvb7Dvjv5XokO2+TMAi4AHgWIqXDXwfOL5pm/8EfLL8fDbwhR6WvwI4sfz8G8B9Lco/Bfj7efwd/AhYPsP61wJfBUTx6q1b5/G7eAg4ej6vH3glcCJwZ8OyjwAXlJ8vAD7cYr9lwPby59Ly89IelX8GcED5+cOtyq/yXXVR/geB91X4fmb8t5Kps6mfNbyWQ0SatllDMUQEiiEjp5VDSLpme5ft75aff0HR4zPrk9l9tgb4rAtbKJ4zWjEP5ZwGPGC71aiXnrF9C7C7aXHjd9xuONCZwGbbu20/DmwG5vwwbKvybX/N//R0/haK57fmRZvrr6LKv5XoQD8DXqshIs0B55ltyj/KJym6m3uqbCqfANzaYvXLJX1f0lclvbjHRRv4mqTvSFrXYn2V31EvnA1c02bdfF4/wOG2d5WfHwIOb7FNv34Pb6eoUbcy23fVjfPLJvWGNk36fl1/7dSu00LSs4EvAe+x/fOm1d+laOa9FPhvFO/966U/sn0i8BrgnZJe2ePjz6p8ePMs4O9arJ7v69+Pi/bbgjwXJekiYB9wdZtN5uu7+gTw28AqYBfwX3t03KignwGv3RCRlttIOgB4DsUQkp6QdCBFsLva9peb19v+ue3/V37eBBwoqeog6lnZ3ln+fAS4nqLp0qjK76hbrwG+a/vhFuc3r9dfeniqmV7+bJUAal5/D5LeCrwO+JMy6E5T4bvqiO2HbU+4SPz6P9sctx9/B7XUz4DXcohI0zYbKYaIQDFk5OZ2f5BzVd4LvAK4x/Zft9nm+VP3DCWdRPH76UnAlXSIpN+Y+kxx8/zOps02Am8pe2tPBp5saP71yjm0ac7O5/U3aPyO2w0HugE4Q9LSssl3Rrmsa5JWA+8HzrL9VJttqnxXnZbfeE/2DW2OW+XfSnSinz0kFL2Q91H0QF1ULruU4o8PYAlFU2sc+DZwbA/L/iOK5tPtwLZyei3wDuAd5TbnA3dR9IptAf6wh+UfWx73+2UZU9ffWL4oXnb4AHAHMNbj3/8hFAHsOQ3L5u36KQLrLmAvxX2ocynuyd4E3A/cCCwrtx0DPt2w79vLv4Nx4G09LH+c4v7Y1N/A1FMBvwVsmum76lH5nyu/29spgtiK5vLb/VvJ1P2UoWURURu167SIiPpKwIuI2kjAi4jaSMCLiNpIwIuI2kjAi4jaSMCLiNr4/89jsDMEyg/uAAAAAElFTkSuQmCC"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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Fr7+VdHDD/r+0fVy5bJktw04HDzjE9o7y84PAIe0SSlozNSv5bnZ1mF1E9FMPp2mcyawFJ9s/tH1f+flnwMPAczvNsOvRUsr5I9vGettrbY/ZHtuX/bvNLiLm29ye4S2bKtCUy5o55FS54AQg6URgP+D+hs0fLqu6l0maNcB02kr7kKTltndIWk4RdSNiBKhcKnrE9ljbc0k3As9vsevCxhXblto/FSzjzOeB1banypYXUATK/SjmxP4gcMlMF9tpwJuaKfzS8udXOzxPRAyi3k3EfXq7fZIqFZwkHQT8I3Ch7ae73jSUDndJ+izw/tmup8prKVcD3wZeJGmbpHMoAt1rJN0HnF6uR8SI6EcrLb8tOEGbgpOk/YDrgM/ZvrZp3/Lypyie/93ZfHyzWUt4ts9us+u02Y6NiCHVn3fsLgW+VBaifgK8GUDSGPBO2+eW214FPEfS28rj3la2yF4l6bkUNfAtwDtny3Dge1oMaqfuQe1s3y+D+r1Avpuu9WkAUNuP0qLgZHszcG75+QvAF9ocf+pc8xz4gBcRC2AIe1FUkYAXEdNk8ICIqI8EvIioi5TwIqIeTAYAjYh6yCQ+EVEvCXgRURfyaEa8BLyI2NuQjmZcRQJeREyTZ3gRURv96Fq2EBLwImK6lPAWRj86gg9yR/hRkk79Q6I3Qz8NpIEPeBGxABLwIqIORvnF404n4v6YpB+Uk2dc1zRtWkQMOU260jJsOp2IewPw+7b/APghxWQaETEK5jZr2VDpaCJu21+3vadc3QgcNg/XFhELpE/z0vZd1/PSAu8AvtZuZybijhhCfSjhSVoqaYOk+8qfS9qkm5C0pVzWN2w/StImSeOSvlhO+DOjrgKepAuBPcBV7dJkIu6I4dOnWcvOB26yfQxwU7neyq9tH1cuZzVs/whwme0XAo8B58yWYccBr5xB6PXAn9oj2tM4oo4M2NWW7qwEriw/X0kx1WIl5dSMpwJTUzdWOr6jgCdpBfAB4CzbT3ZyjogYXHN4hrds6pFVuayZQzaHNEym/SBwSJt0i8tzb5T0hnLbc4DHG9oStgGHzpbhrO/hlRNxn0JxY9uAiylaZfcHNhSBlo22Z50TMiIG3xzfw3vE9ljbc0k3As9vsevCxhXbltrmeoTt7ZKOBm6WdAfwROUrbNDpRNyXd5JZRAyB3lRXy1P59Hb7JD0kabntHZKWAw+3Ocf28udWSd8Ejge+DBwsaZ+ylHcYsH226+lFK21EjJg+NVqsB1aXn1cDX512HdISSfuXn5cBrwTuLtsNvgG8aabjmw1817J07O+PQf09D+p1jbz+NENeCnxJ0jnAT4A3A0gaA95p+1zgxcCnJU1SFNAutX13efwHgWsk/TXwPSrUPAc+4EVE//WjL63tR4HTWmzfDJxbfv4W8NI2x28FTpxLngl4EbE3AxOj+aZZAl5ETDOqo6Uk4EXEdCPalyABLyKmSQkvIuphSId+qiIBLyL2IkBptIiIulCe4UVELaRKGxH10bu+tIMmAS8ipkkrbUTUR0p4w6PuM9zn/ut9/11zWmkjok5GM94l4EXEdKP6WsqsA4BKWifpYUl3ttj3F5JcDswXEaOiP5P49F2VEY+vAFY0b5R0OHAG8NMeX1NELCQDkxWXITNrwLN9C7Czxa7LKGYuG74wHxFtCSNXW4ZNR8/wJK0Ettv+fjlr2Uxp1wBrABZzQCfZRUS/TQ5h8a2COU/iI+kA4L8AF1VJb3ut7THbY/uy/1yzi4h+61OVVtJSSRsk3Vf+XNIizaslbWlYfjM1N62kKyT9qGHfcbPl2cmsZb8DHAV8X9KPKaZH+66kVnNPRsQQ6lOV9nzgJtvHADeV63ux/Q3bx9k+DjgVeBL4ekOSv5zab3vLbBnOuUpr+w7geVPrZdAbs/3IXM8VEQOqP8/nVgKnlJ+vBL5JMRNZO28Cvmb7yU4zrPJaytXAt4EXSdpWTqkWESOr4isp3QfFQ2zvKD8/CBwyS/pVwNVN2z4s6XZJl03NXzuTWUt4ts+eZf+Rs50jIobI3GYtWyZpc8P6Wttrp1Yk3Qi0etx14V5Z2pbaD1kgaTnFdI03NGy+gCJQ7gespSgdXjLTxY5kT4tBnbz5BbfM/X/EF2x81pyPueXbL5nzMXU3qH8zN/xsy5zSn3hmx7W9vczh+dwjtsfa7bR9ets8pIckLbe9owxoD8+Qz5uB62zvbjj3VOlwl6TPAu+f7WI7abSIiFHXnyrtemB1+Xk18NUZ0p5NU3W2DJKoeDfuDcC03mDNEvAiYm8GJl1t6c6lwGsk3QecXq4jaUzSZ6YSSToSOBz456bjr5J0B3AHsAz469kyHMkqbUR0oz/9ZG0/CpzWYvtm4NyG9R8Dh7ZId+pc80zAi4jphrDbWBUJeBGxNwMTo9m1LAEvIpoYnIAXEXWRKm1E1MJUK+0ISsCLiOlSwouI2kjAi4hasGFiYqGvYl4k4EXEdCNawpP7eGMHaalP0rQXqyOiRzb5Jn7hnTPPuzCLZ+/7PL9i6R9XSvtPD3/qtpkGDxg0KeFFRJOe9JMdSAl4EbE3g0f0xeOOJ+KW9G5JP5B0l6SPzt8lRkTfTUxWW4ZMlRLeFcD/AD43tUHSqynGo3+Z7V2Sntfm2IgYNvbITtNYZYj3W8rxqBr9J+BS27vKNDONVBoRw2ZEW2k7HQD0d4F/JWmTpH+W9IftEkpaI2mzpM272dVhdhHRT56crLQMm04bLfYBlgInA38IfEnS0W7xjks5ocdaKF5L6fRCI6Jf+jMA6ELoNOBtA75SBrjvSJqkGGL55z27sohYGCM8eECnVdr/DbwaQNLvUkyTlom4I0aAAU9MVFqGTacTca8Dji5fVbkGWN2qOhsRQ8jlAKBVli5I+pPytbZJSW17a0haIeleSeOSzm/YflTZjjAu6YuS9pstz24m4n7LbMdGxHByf6q0dwL/Fvh0uwSSFgGfAF5D8SjtVknrbd8NfAS4zPY1kj4FnAN8cqYMM01jREzXhxKe7Xts3ztLshOBcdtbbT9FUaNcWc5FeypwbZnuSoq5aWfU165lv+SxR270tT9psWsZC/sMMPkn/1HJ/4huT/BLHrvhRl+7rGLyxZI2N6yvLd/M6JVDgQca1rcBJwHPAR63vadh+7SpHJv1NeDZfm6r7ZI2L+SIC8k/+dc5/2a2V/TqXJJuBJ7fYteFtr/aq3yqyuABETFvbJ/e5Sm2A4c3rB9WbnsUOFjSPmUpb2r7jPIMLyIG2a3AMWWL7H7AKmB9+VbIN4A3lelWA7OWGAcl4PWyzp/8k3/yHwKS3ihpG/By4B8l3VBuf4Gk6wHK0tt5wA3APcCXbN9VnuKDwJ9LGqd4pnf5rHnm9bmIqItBKeFFRMy7BLyIqI2+Brx2XUQa9u9fdhEZL7uMHNnDvA+X9A1Jd5fdWd7TIs0pkp6QtKVcLupV/uX5fyzpjvLcm1vsl6S/K+//dkkn9DDvFzXc1xZJv5D03qY0Pb3/VqNlS1oqaYOk+8qfS9ocu7pMc5+k1T3M/2PlSN23S7pO0sFtjp3xu+oi/w9J2t7wO35dm2Nn/LcSHbLdlwVYBNwPHE0x2MD3gWOb0vxn4FPl51XAF3uY/3LghPLzs4Aftsj/FOAf5vF38GNg2Qz7Xwd8DRDF0Fub5vG7eBA4Yj7vH3gVcAJwZ8O2jwLnl5/PBz7S4rilwNby55Ly85Ie5X8GsE/5+SOt8q/yXXWR/4eA91f4fmb8t5Kls6WfJbyWXUSa0qyk6CICRZeR08ouJF2zvcP2d8vPv6Ro8Zn1zew+Wwl8zoWNFO8ZLZ+HfE4D7rfdqtdLz9i+BdjZtLnxO27XHehMYIPtnbYfAzYAc34ZtlX+tr/u376dv5Hi/a150eb+q6jybyU60M+A16qLSHPAeTpN+Uf5BEVzc0+VVeXjgU0tdr9c0vclfU3SS3qctYGvS7pN0poW+6v8jnphFXB1m33zef8Ah9jeUX5+EDikRZp+/R7eQVGibmW276ob55VV6nVtqvT9uv/aqV2jhaRnAl8G3mv7F027v0tRzXsZ8N8pxv3rpT+yfQLwWuBdkl7V4/PPqnx58yzg71vsnu/734uL+tuCvBcl6UJgD3BVmyTz9V19Evgd4DhgB/DfenTeqKCfAa9dF5GWaSTtAzybogtJT0jalyLYXWX7K837bf/C9v8rP18P7CupaifqWdneXv58GLiOourSqMrvqFuvBb5r+6EW1zev9196aKqaXv5sNQHUvP4eJL0NeD3wp2XQnabCd9UR2w/ZnnAx8ev/anPefvwd1FI/A17LLiJNadZTdBGBosvIze3+IOeqfBZ4OXCP7b9pk+b5U88MJZ1I8fvpScCVdKCkZ019pnh4fmdTsvXAW8vW2pOBJxqqf71yNm2qs/N5/w0av+N23YFuAM6QtKSs8p1RbuuapBXAB4CzbD/ZJk2V76rT/Bufyb6xzXmr/FuJTvSzhYSiFfKHFC1QF5bbLqH44wNYTFHVGge+Axzdw7z/iKL6dDuwpVxeB7wTeGeZ5jzgLopWsY3AK3qY/9Hleb9f5jF1/435i2Kww/uBO4CxHv/+D6QIYM9u2DZv908RWHcAuymeQ51D8Uz2JuA+4EZgaZl2DPhMw7HvKP8OxoG39zD/cYrnY1N/A1NvBbwAuH6m76pH+X++/G5vpwhiy5vzb/dvJUv3S7qWRURt1K7RIiLqKwEvImojAS8iaiMBLyJqIwEvImojAS8iaiMBLyJq4/8D/eK2/BomyfwAAAAASUVORK5CYII="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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At9p+KUXD628kHdSw/S9sH1suW2ersNOHBxxse0f5+iHg4HYFJa2dykr+NLs7rC4i+qmHaRpnMmvDyfa9tu8rX/8UeAR4fqcVdv20lDJ/ZNtYb3ud7THbY/uyX7fVRcR8m9s1vOVTDZpyWTuHmio3nAAknQAsBu5vWP3hsqt7maRZA0yno7QPS1phe4ekFRRRNyJGgMqlokdtj7U9lnQj8IIWmy5ofGPbUvurgmWc+RywxvZU2/J8ikC5mCIn9geBi2c62U4D3lSm8EvKn1/p8DgRMYh6l4j7tHbbJFVqOEk6EPgn4ALbz0y9aWgd7pb0GeD9s51PldtSrga+BbxY0jZJZ1MEutdIug84rXwfESOiH6O0/KbhBG0aTpIWA9cBn7V9bdO2FeVPUVz/u6N5/2aztvBsn9Vm06mz7RsRQ6o/99hdAnyxbET9GHgzgKQx4J22zynXvQp4nqS3lfu9rRyRvUrS8yl64FuBd85W4cDPtOhHFvlODOpk+34Z1O8FOvtuxi89Zk7l92eEH2rRpweA2n6MFg0n21uAc8rXnwc+32b/U+Za58AHvIhYAEM4i6KKBLyImCYPD4iI+kjAi4i6SAsvIurB5AGgEVEPSeITEfWSgBcRdSGPZsRLwIuIvQ3p04yrSMCLiGlyDS8iaqMfU8sWQgJeREyXFt7C6Mck/UGeCD9K6v7AhaHRm0c/DaSBD3gRsQAS8CKiDkb5xuNOE3F/VNIPyuQZ1zWlTYuIIadJV1qGTaeJuDcCv2f794F7KZJpRMQomFvWsqHSUSJu21+zvad8uwk4dB7OLSIWSJ/y0vZd13lpgXcAX223MYm4I4ZQH1p4kpZJ2ijpvvLn0jblJiRtLZcNDeuPlLRZ0rikL5QJf2bUVcCTdAGwB7iqXZkk4o4YPn3KWnYecJPto4Gbyvet/Mr2seVyZsP6S4HLbL8IeBw4e7YKOw54ZQah1wN/Yo/oTOOIOjJgV1u6swq4snx9JUWqxUrK1IynAFOpGyvt31HAk7QS+ABwpu1dnRwjIgbXHK7hLZ+6ZFUua+dQzcENybQfAg5uU25JeexNkt5Qrnse8ETDWMI24JDZKpz1PrwyEffJFB9sG3ARxajsfsDGItCyyfasOSEjYvDN8T68R22PtT2WdCPwghabLmh8Y9tS21oPt71d0lHAzZJuB56sfIYNOk3EfXknlUXEEOhNd7U8lE9rt03Sw5JW2N4haQXwSJtjbC9/PiDpG8BxwJeAgyTtU7byDgW2z3Y+vRiljYgR06dBiw3AmvL1GuAr085DWippv/L1cuCVwF3luMHXgTfNtH+zgZ9alon9/TGov+ddbzxxoU+hnvozDHkJ8EVJZwM/Bt4MIGkMeKftc4CXAJ+SNEnRQLvE9l3l/h8ErpH0V8D3qNDzHPiAFxH914+5tLYfA05tsX4LcE75+pvAy9rs/wBwwlzqTMCLiL0ZmBjNO80S8CJimlF9WkoCXkRMN6JzCRLwImKatPAioh6G9NFPVSTgRcReBCiDFhFRF8o1vIiohXRpI6I+ejeXdtAk4EXENBmljYj6SAtveNQ9w33dP//+121e6FMYbs4obUTUyWjGuwS8iJhuVG9LmfUBoJLWS3pE0h0ttv25JJcP5ouIUdGfJD59V+WJx1cAK5tXSjoMOB34SY/PKSIWkoHJisuQmTXg2b4F2Nli02UUmcuGL8xHRFvCyNWWYdPRNTxJq4Dttr9fZi2bqexaYC3AEvbvpLqI6LfJIWy+VTDnJD6S9gf+K3BhlfK219kesz22L/vNtbqI6Lc+dWklLZO0UdJ95c+lLcq8WtLWhuXXU7lpJV0h6YcN246drc5Ospb9NnAk8H1JP6JIj/ZdSa1yT0bEEOpTl/Y84CbbRwM3le/3Yvvrto+1fSxwCrAL+FpDkb+Y2m5762wVzrlLa/t24Lem3pdBb8z2o3M9VkQMqP5cn1sFnFy+vhL4BkUmsnbeBHzV9q5OK6xyW8rVwLeAF0vaVqZUi4iRVfGWlO6D4sG2d5SvHwIOnqX8auDqpnUflnSbpMum8tfOZNYWnu2zZtl+xGzHiIghMresZcslbWl4v872uqk3km4EWl3uumCvKm1L7R9ZIGkFRbrGGxpWn08RKBcD6yhahxfPdLIjOdNiUJNKv/CWuf+PmETU/TGofzM3/HTrnMqfcEbHvb29zOH63KO2x9pttH1a2zqkhyWtsL2jDGiPzFDPm4HrbD/dcOyp1uFuSZ8B3j/byXYyaBERo64/XdoNwJry9RrgKzOUPYum7mwZJFFxb9wbgGmzwZol4EXE3gxMutrSnUuA10i6DzitfI+kMUmfniok6QjgMOCfm/a/StLtwO3AcuCvZqtwJLu0EdGN/syTtf0YcGqL9VuAcxre/wg4pEW5U+ZaZwJeREw3hNPGqkjAi4i9GZgYzallCXgR0cTgBLyIqIt0aSOiFqZGaUdQAl5ETJcWXkTURgJeRNSCDRMTC30W8yIBLyKmSwtvYdQ9qXT0x6D+nZ3xvmPnVP5eP9abihPwIqIeejJPdiAl4EXE3gwe0RuPO07ELendkn4g6U5JH5m/U4yIvpuYrLYMmSotvCuA/wl8dmqFpFdTPI/+5bZ3S/qtNvtGxLCxRzZNY5VHvN9SPo+q0X8GLrG9uywz05NKI2LYjOigRacPAP0d4F9J2izpnyX9QbuCktZK2iJpy9Ps7rC6iOgnT05WWoZNp4MW+wDLgJOAPwC+KOkoe/p/C2VCj3UAB2rZaP63ETFS+vMA0IXQacDbBny5DHDfljRJ8Yjln/XszCJiYYzwwwM67dL+L+DVAJJ+hyJNWhJxR4wAA56YqLQMm04Tca8HjipvVbkGWNOqOxsRQ8jlA0CrLF2Q9MflbW2TktqmepS0UtI9ksYlndew/shyHGFc0hckLZ6tzm4Scb9ltn0jYji5P13aO4B/C3yqXQFJi4CPA6+huJR2q6QNtu8CLgUus32NpE8CZwOfmKnCpGmMiOn60MKzfbfte2YpdgIwbvsB209R9ChXlbloTwGuLctdSZGbdkZ9nVr2Cx5/9EZf++MWm5azsNcAU3/qH5X6D+/2AL/g8Rtu9LXLKxZfImlLw/t15Z0ZvXII8GDD+23AicDzgCds72lYPy2VY7O+Bjzbz2+1XtIW22378PMt9af+OtffzPbKXh1L0o3AC1psusD2V3pVT1V5eEBEzBvbp3V5iO3AYQ3vDy3XPQYcJGmfspU3tX5GuYYXEYPsVuDockR2MbAa2FDeFfJ14E1luTXArC3GQQl4vezzp/7Un/qHgKQ3StoGvAL4J0k3lOtfKOl6gLL1di5wA3A38EXbd5aH+CDwZ5LGKa7pXT5rnbl9LiLqYlBaeBER8y4BLyJqo68Br90UkYbt+5VTRMbLKSNH9LDuwyR9XdJd5XSW97Qoc7KkJyVtLZcLe1V/efwfSbq9PPaWFtsl6W/Lz3+bpON7WPeLGz7XVkk/l/TepjI9/fytnpYtaZmkjZLuK38ubbPvmrLMfZLW9LD+j5ZP6r5N0nWSDmqz74zfVRf1f0jS9obf8eva7Dvjv5XokO2+LMAi4H7gKIqHDXwfOKapzH8BPlm+Xg18oYf1rwCOL18/B7i3Rf0nA/84j7+DHwHLZ9j+OuCrgCgevbV5Hr+Lh4DD5/PzA68CjgfuaFj3EeC88vV5wKUt9lsGPFD+XFq+Xtqj+k8H9ilfX9qq/irfVRf1fwh4f4XvZ8Z/K1k6W/rZwms5RaSpzCqKKSJQTBk5tZxC0jXbO2x/t3z9C4oRn1nvzO6zVcBnXdhEcZ/Rinmo51TgftutZr30jO1bgJ1Nqxu/43bTgc4ANtreaftxYCMw55thW9Vv+2v+zd35myju35oXbT5/FVX+rUQH+hnwWk0RaQ44z5Qp/yifpBhu7qmyq3wcsLnF5ldI+r6kr0p6aY+rNvA1Sd+RtLbF9iq/o15YDVzdZtt8fn6Ag23vKF8/BBzcoky/fg/voGhRtzLbd9WNc8su9fo2Xfp+ff7aqd2ghaRnA18C3mv7502bv0vRzXs58D8onvvXS39k+3jgtcC7JL2qx8efVXnz5pnAP7TYPN+ffy8u+m8Lcl+UpAuAPcBVbYrM13f1CeC3gWOBHcB/79Fxo4J+Brx2U0RalpG0D/BciikkPSFpX4pgd5XtLzdvt/1z2/+vfH09sK+kqpOoZ2V7e/nzEeA6iq5Loyq/o269Fviu7YdbnN+8fv7Sw1Pd9PJnqwRQ8/p7kPQ24PXAn5RBd5oK31VHbD9se8JF4te/b3Pcfvwd1FI/A17LKSJNZTZQTBGBYsrIze3+IOeqvBZ4OXC37b9uU+YFU9cMJZ1A8fvpScCVdICk50y9prh4fkdTsQ3AW8vR2pOAJxu6f71yFm26s/P5+Rs0fsftpgPdAJwuaWnZ5Tu9XNc1SSuBDwBn2t7VpkyV76rT+huvyb6xzXGr/FuJTvRzhIRiFPJeihGoC8p1F1P88QEsoehqjQPfBo7qYd1/RNF9ug3YWi6vA94JvLMscy5wJ8Wo2CbgD3tY/1Hlcb9f1jH1+RvrF8XDDu8HbgfGevz7P4AigD23Yd28fX6KwLoDeJriOtTZFNdkbwLuA24ElpVlx4BPN+z7jvLvYBx4ew/rH6e4Pjb1NzB1V8ALgetn+q56VP/nyu/2NoogtqK5/nb/VrJ0v2RqWUTURu0GLSKivhLwIqI2EvAiojYS8CKiNhLwIqI2EvAiojYS8CKiNv4//GGu11330VgAAAAASUVORK5CYII="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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SJdaoVZsp/Cbg3InOY2Y9pD01vDwVp93AxyLivWQVr7+VdHDN9r+MiIVp2jRRga2+POCQiNiR5l8ADmm2o6RlI1nJ97KnxeLMrJ1KTNM4ngkrThHxTERsSfPPAy8Bb2+1wMJvS0n5I5vG+ohYEREDETFwADOKFmdmU21y9/DmjlRo0rRsEiXlrjgBSDoOmA48W7P6S6mpu1zShAGm1V7aFyXNi4gdkuaRRV0z6wNKU047I2Kg6bmke4B3NNh0ee1CRITU/K5gijPfBJZGxEjd8jKyQDmdLCf2F4CrxrvYVgPeSKbwq9PP77Z4HjPrRuUl4j6t2TZJuSpOkg4C/hG4PCLeHBJUUzvcI+kbwOcmup48j6XcCnwfeLekbZIuJAt0p0vaApyWls2sT7Sjl5bfVJygScVJ0nTgTuDmiFhVt21e+imy+39P1B9fb8IaXkSc32TTqRMda2Y9qj3P2F0N3JEqUT8FPgIgaQC4OCIuSutOAt4m6YJ03AWpR/YWSW8na4FvAi6eqMCuH2kxuPyETl9CQ9062L5duvV7AX83hbXpBaAR8TINKk4RsRG4KM1/C/hWk+NPmWyZXR/wzKwDenAURR4OeGY2hl8eYGbV4YBnZlXhGp6ZVUPgF4CaWTU4iY+ZVYsDnplVhaI/I54DnpmN1qNvM87DAc/MxvA9PDOrjHYMLesEBzwzG8s1vM5ox0Dwbh4I3088qL9HlPPqp67U9QHPzDrAAc/MqqCfHzxuNRH3VyT9KCXPuLMubZqZ9TgNR66p17SaiHsd8PsR8QfAM2TJNMysH0wua1lPaSkRd0TcHRH70uJ64LApuDYz65A25aVtu8J5aYFPAHc12+hE3GY9qA01PElzJK2TtCX9nN1kvyFJm9K0umb9fEkbJA1Kuj0l/BlXoYAn6XJgH3BLs32ciNus97Qpa9mlwL0RsQC4Ny038uuIWJimc2rWXwMsj4h3Aa8AF05UYMsBL2UQ+hDwpxF9OtLYrIoCiMg3FbMYuCnN30SWajGXlJrxFGAkdWOu41sKeJIWAZ8HzomI3a2cw8y61yTu4c0duWWVpmWTKOaQmmTaLwCHNNlvZjr3eknnpnVvA16t6UvYBhw6UYETPoeXEnGfTPbBtgFXkvXKzgDWZYGW9RExYU5IM+t+k3wOb2dEDDQ9l3QP8I4Gmy6vXYiIkJqWekREbJd0FHCfpMeB13JfYY1WE3Hf0EphZtYDymmuplPFac22SXpR0ryI2CFpHvBSk3NsTz+3SnoAOAb4NnCwpP1TLe8wYPtE11NGL62Z9Zk2dVqsBpam+aXAd8dchzRb0ow0Pxc4EXgy9RvcD3x4vOPrdf3QMg/sb49u/T3vPu/4Tl9CNbWnG/Jq4A5JFwI/BT4CIGkAuDgiLgLeA1wnaZisgnZ1RDyZjv8CcJukvwZ+SI6WZ9cHPDNrv3aMpY2Il4FTG6zfCFyU5r8HvK/J8VuB4yZTpgOemY0WwFB/PmnmgGdmY/Tr21Ic8MxsrD4dS+CAZ2ZjuIZnZtXQo69+ysMBz8xGESB3WphZVcj38MysEtykNbPqKG8sbbdxwDOzMdxLa2bV4Rpe76h6hvuqf/5Zd27o9CX0tnAvrZlVSX/GOwc8MxurXx9LmfAFoJJWSnpJ0hMNtv2FpEgv5jOzftGeJD5tl+eNxzcCi+pXSjocOAP4WcnXZGadFMBwzqnHTBjwIuJBYFeDTcvJMpf1Xpg3s6ZEoMg39ZqW7uFJWgxsj4hHU9ay8fZdBiwDmMmsVoozs3Yb7sHqWw6TTuIjaRbwn4Er8uwfESsiYiAiBg5gxmSLM7N2a1OTVtIcSeskbUk/ZzfY54OSNtVMr4/kppV0o6Qf12xbOFGZrWQt+x1gPvCopJ+QpUd7RFKj3JNm1oPa1KS9FLg3IhYA96blUSLi/ohYGBELgVOA3cDdNbv85cj2iNg0UYGTbtJGxOPAb48sp6A3EBE7J3suM+tS7bk/txg4Oc3fBDxAlomsmQ8Dd0XE7lYLzPNYyq3A94F3S9qWUqqZWd/K+UhK8aB4SETsSPMvAIdMsP8S4Na6dV+S9Jik5SP5a8czYQ0vIs6fYPuRE53DzHrI5LKWzZW0sWZ5RUSsGFmQdA/Q6HbX5aOKjAip+SsLJM0jS9e4tmb1ZWSBcjqwgqx2eNV4F9uXIy26Nan0Ox+c/P+ITkTdHt36N7P2+U2T2v+4M1tu7Y0yiftzOyNioNnGiDitaRnSi5LmRcSOFNBeGqecjwB3RsTemnOP1A73SPoG8LmJLraVTgsz63ftadKuBpam+aXAd8fZ93zqmrMpSKLs2bhzgTGjweo54JnZaAEMR76pmKuB0yVtAU5Ly0gakHT9yE6SjgQOB/6p7vhbJD0OPA7MBf56ogL7sklrZkW0Z5xsRLwMnNpg/UbgoprlnwCHNtjvlMmW6YBnZmP14LCxPBzwzGy0AIb6c2iZA56Z1QkIBzwzqwo3ac2sEkZ6afuQA56ZjeUanplVhgOemVVCBAwNdfoqpoQDnpmN5RpeZ1Q9qbS1R7f+nZ352YWT2v+ZeLmcgh3wzKwaShkn25Uc8MxstIDo0wePW07ELelTkn4kabOkL0/dJZpZ2w0N55t6TJ4a3o3AfwduHlkh6YNk76N/f0TskfTbTY41s14T0bdpGvO84v3B9D6qWv8RuDoi9qR9xntTqZn1mj7ttGj1BaC/C/wLSRsk/ZOkP2y2o6RlkjZK2riXPS0WZ2btFMPDuaZe02qnxf7AHOAE4A+BOyQdFTH2v4WU0GMFwEGa05//bZj1lfa8ALQTWg1424DvpAD3A0nDZK9Y/nlpV2ZmndHHLw9otUn7v4APAkj6XbI0aU7EbdYHAoihoVxTr2k1EfdK4Kj0qMptwNJGzVkz60GRXgCaZypA0p+kx9qGJTVN9ShpkaSnJQ1KurRm/fzUjzAo6XZJ0ycqs0gi7o9OdKyZ9aZoT5P2CeBfA9c120HSNOBa4HSyW2kPSVodEU8C1wDLI+I2SV8HLgS+Nl6BTtNoZmO1oYYXEU9FxNMT7HYcMBgRWyPiDbIW5eKUi/YUYFXa7yay3LTjauvQsl/yys57YtVPG2yaS2fvAbp8l98v5R9R9AS/5JW198SquTl3nylpY83yivRkRlkOBZ6rWd4GHA+8DXg1IvbVrB+TyrFeWwNeRLy90XpJGyOiaRt+qrl8l1/l8utFxKKyziXpHuAdDTZdHhHfLaucvPzyADObMhFxWsFTbAcOr1k+LK17GThY0v6pljeyfly+h2dm3ewhYEHqkZ0OLAFWp6dC7gc+nPZbCkxYY+yWgFdmm9/lu3yX3wMknSdpG/AB4B8lrU3r3ylpDUCqvV0CrAWeAu6IiM3pFF8A/lzSINk9vRsmLNOPz5lZVXRLDc/MbMo54JlZZbQ14DUbIlKzfUYaIjKYhowcWWLZh0u6X9KTaTjLpxvsc7Kk1yRtStMVZZWfzv8TSY+nc29ssF2S/i59/sckHVti2e+u+VybJP1C0mfq9in18zd6W7akOZLWSdqSfs5ucuzStM8WSUtLLP8r6U3dj0m6U9LBTY4d97sqUP4XJW2v+R2f3eTYcf+tWIsioi0TMA14FjiK7GUDjwJH1+3zn4Cvp/klwO0llj8PODbN/xbwTIPyTwb+YQp/Bz8B5o6z/WzgLkBkr97aMIXfxQvAEVP5+YGTgGOBJ2rWfRm4NM1fClzT4Lg5wNb0c3aan11S+WcA+6f5axqVn+e7KlD+F4HP5fh+xv234qm1qZ01vIZDROr2WUw2RASyISOnpiEkhUXEjoh4JM3/kqzHZ8Ins9tsMXBzZNaTPWc0bwrKORV4NiIajXopTUQ8COyqW137HTcbDnQmsC4idkXEK8A6YNIPwzYqPyLujt88nb+e7PmtKdHk8+eR59+KtaCdAa/REJH6gPPmPumP8jWy7uZSpabyMcCGBps/IOlRSXdJem/JRQdwt6SHJS1rsD3P76gMS4Bbm2ybys8PcEhE7EjzLwCHNNinXb+HT5DVqBuZ6Lsq4pLUpF7ZpEnfrs9fOZXrtJD0FuDbwGci4hd1mx8ha+a9H/hvZO/9K9MfR8SxwFnAJyWdVPL5J5Qe3jwH+PsGm6f6848SWfutI89FSboc2Afc0mSXqfquvgb8DrAQ2AH815LOazm0M+A1GyLScB9J+wNvJRtCUgpJB5AFu1si4jv12yPiFxHx/9L8GuAASXkHUU8oIranny8Bd5I1XWrl+R0VdRbwSES82OD6pvTzJy+ONNPTz0YJoKb09yDpAuBDwJ+moDtGju+qJRHxYkQMRZb49X82OW87/g4qqZ0Br+EQkbp9VpMNEYFsyMh9zf4gJyvdC7wBeCoi/qbJPu8YuWco6Tiy308pAVfSgZJ+a2Se7Ob5E3W7rQY+lnprTwBeq2n+leV8mjRnp/Lz16j9jpsNB1oLnCFpdmrynZHWFSZpEfB54JyI2N1knzzfVavl196TPa/JefP8W7FWtLOHhKwX8hmyHqjL07qryP74AGaSNbUGgR8AR5VY9h+TNZ8eAzal6WzgYuDitM8lwGayXrH1wB+VWP5R6byPpjJGPn9t+SJ72eGzwOPAQMm//wPJAthba9ZN2ecnC6w7gL1k96EuJLsney+wBbgHmJP2HQCurzn2E+nvYBD4eInlD5LdHxv5Gxh5KuCdwJrxvquSyv9m+m4fIwti8+rLb/ZvxVPxyUPLzKwyKtdpYWbV5YBnZpXhgGdmleGAZ2aV4YBnZpXhgGdmleGAZ2aV8f8Bzdaw13QDP50AAAAASUVORK5CYII="
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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+sok1atXOFH4DcNZE1zGzHtKeEl6egtMu4BMR8T6ygtffSjqo5vhfRsTCtGyeKMNWBw84OCJ2pPUXgIObJZS0fGRW8j3sbjE7M2unEqdpHM+EBaeIeCYitqT154GXgHe2mmHh0VLS/JFNY31ErIyIgYgY2I8ZRbMzs6k2uWd4c0YKNGlZPomcchecACQtAqYDz9bs/nKq6q6QNGGAabWV9kVJcyNih6S5ZFHXzPqA0pLTyxEx0PRa0l3AuxocurR2IyJCav5UMMWZbwHLImKkbHkJWaCcTjYn9heBK8a72VYD3shM4Vemn99r8Tpm1o3Km4j75GbHJOUqOEk6EPhH4NKIeKtLUE3pcLekbwKfn+h+8ryWcjPwAPAeSdsknUcW6E6RtAU4OW2bWZ9oRystvyk4QZOCk6TpwO3AjRGxuu7Y3PRTZM//Hq8/v96EJbyIOKfJoZMmOtfMelR73rG7ErgtFaJ+CnwMQNIAcEFEnJ/2fQh4h6Rz03nnphbZmyS9k6wGvhm4YKIMu76nxeCK4zp9Cw11a2f7dunW7wX83RTWpgFAI+IVGhScImITcH5a/zbw7SbnnzjZPLs+4JlZB/RgL4o8HPDMbAwPHmBm1eGAZ2ZV4RKemVVD4AFAzawaPImPmVWLA56ZVYWiPyOeA56Zjdajoxnn4YBnZmP4GZ6ZVUY7upZ1ggOemY3lEl5ntKMjeDd3hO8n7tTfI8oZ+qkrdX3AM7MOcMAzsyro5xePW52I+6uSfpQmz7i9bto0M+txGo5cS69pdSLu9cDvR8QfAM+QTaZhZv1gcrOW9ZSWJuKOiDsjYm/a3ADMm4J7M7MOadO8tG1XeF5a4FPAHc0OeiJusx7UhhKepNmS1kvakn7OapJuSNLmtKyp2T9f0kZJg5JuTRP+jKtQwJN0KbAXuKlZGk/EbdZ72jRr2cXA3RGxALg7bTfy64hYmJYza/ZfBayIiCOBV4HzJsqw5YCXZhD6CPCnEX3a09isigKIyLcUswS4Ia3fQDbVYi5pasYTgZGpG3Od31LAk7QY+AJwZkTsauUaZta9JvEMb87II6u0LJ9ENgfXTKb9AnBwk3Qz07U3SDor7XsH8FpNW8I24JCJMpzwPbw0EfcJZB9sG3A5WavsDGB9FmjZEBETzglpZt1vku/hvRwRA02vJd0FvKvBoUtrNyIipKa5HhYR2yUdAdwj6THg9dx3WKPVibivayUzM+sB5VRX06Xi5GbHJL0oaW5E7JA0F3ipyTW2p59bJd0HHA18BzhI0r6plDcP2D7R/ZTRSmtmfaZNjRZrgGVpfRnwvTH3Ic2SNCOtzwGOB55M7Qb3Ah8d7/x6Xd+1zB3726Nbf8+7zj6207dQmiO/+OSkz3n+9im4kTza0wx5JXCbpPOAnwIfA5A0AFwQEecD7wWukTRMVkC7MiJGfpFfBG6R9NfAD8lR8+z6gGdm7deOvrQR8QpwUoP9m4Dz0/r3gfc3OX8rsGgyeTrgmdloAQz155tmDnhmNka/jpbigGdmY/VpXwIHPDMbwyU8M6uGHh36KQ8HPDMbRYDcaGFmVSE/wzOzSnCV1syqo7y+tN3GAc/MxnArrZlVh0t4vaPqM9xX/fPvf/vGTt9CQ/c/8L5Jn3MkHfguw620ZlYl/RnvHPDMbKx+fS1lwgFAJa2S9JKkxxsc+wtJkQbmM7N+0Z5JfNouz4jH1wOL63dKOhQ4FfhZyfdkZp0UwHDOpcdMGPAi4n5gZ4NDK8hmLuu9MG9mTYlAkW/pNS09w5O0BNgeEY+kWcvGS7scWA4wk/1byc7M2m24B4tvOUx6Eh9J+wP/GbgsT/qIWBkRAxExsB8zJpudmbVbm6q0kmZLWi9pS/o5q0GaD0vaXLO8MTI3raTrJf245tjCifJsZday3wHmA49I+gnZ9GgPS2o096SZ9aA2VWkvBu6OiAXA3Wl7lIi4NyIWRsRC4ERgF3BnTZK/HDkeEZsnynDSVdqIeAz47ZHtFPQGIuLlyV7LzLpUe57PLQFOSOs3APeRzUTWzEeBOyJiV6sZ5nkt5WbgAeA9kralKdXMrG/lfCWleFA8OCJ2pPUXgIMnSL8UuLlu35clPSppxcj8teOZsIQXEedMcPzwia5hZj1kcrOWzZG0qWZ7ZUSsHNmQdBfQ6HHXpaOyjAip+ZAFkuaSTde4rmb3JWSBcjqwkqx0eMV4N9uXPS26dVLpd98/+f8R+2ki6m7WrX8z657fPKn0i05rubY3yiSez70cEQPNDkbEyU3zkF6UNDcidqSA9tI4+XwMuD0i9tRce6R0uFvSN4HPT3SzrTRamFm/a0+Vdg2wLK0vA743TtpzqKvOpiCJsnfjzgLG9Aar54BnZqMFMBz5lmKuBE6RtAU4OW0jaUDStSOJJB0OHAr8U935N0l6DHgMmAP89UQZ9mWV1syKaE8/2Yh4BTipwf5NwPk12z8BDmmQ7sTJ5umAZ2Zj9WC3sTwc8MxstACG+rNrmQOemdUJCAc8M6sKV2nNrBJGWmn7kAOemY3lEp6ZVYYDnplVQgQMDXX6LqaEA56ZjeUSXmdUfVJpa49u/Ts77aKFk0r/TLxSTsYOeGZWDaX0k+1KDnhmNlpA9OmLxy1PxC3pM5J+JOkJSV+Zuls0s7YbGs639Jg8Jbzrgf8O3DiyQ9KHycaj/0BE7Jb0203ONbNeE9G30zTmGeL9/jQeVa3/CFwZEbtTmvFGKjWzXtOnjRatDgD6u8C/kLRR0j9J+sNmCSUtl7RJ0qY97G4xOzNrpxgezrX0mlYbLfYFZgPHAX8I3CbpiIix/y2kCT1WAhyo2f3534ZZX2nPAKCd0GrA2wZ8NwW4H0gaJhti+eel3ZmZdUYfDx7QapX2fwEfBpD0u2TTpHkibrM+EEAMDeVaek2rE3GvAo5Ir6rcAixrVJ01sx4UaQDQPEsBkv4kvdY2LKnpVI+SFkt6WtKgpItr9s9P7QiDkm6VNH2iPItMxP3xic41s94U7anSPg78a+CaZgkkTQOuBk4he5T2oKQ1EfEkcBWwIiJukfQN4Dzg6+Nl6GkazWysNpTwIuKpiHh6gmSLgMGI2BoRb5LVKJekuWhPBFandDeQzU07rrZ2Lfslr758V6z+aYNDc+jsM0Dn7/z7Jf/Dil7gl7y67q5YPSdn8pmSNtVsr0xvZpTlEOC5mu1twLHAO4DXImJvzf4xUznWa2vAi4h3NtovaVNENK3DTzXn7/yrnH+9iFhc1rUk3QW8q8GhSyPie2Xlk5cHDzCzKRMRJxe8xHbg0JrteWnfK8BBkvZNpbyR/ePyMzwz62YPAgtSi+x0YCmwJr0Vci/w0ZRuGTBhibFbAl6ZdX7n7/ydfw+QdLakbcAHgX+UtC7tf7ektQCp9HYhsA54CrgtIp5Il/gi8OeSBsme6V03YZ5+fc7MqqJbSnhmZlPOAc/MKqOtAa9ZF5Ga4zNSF5HB1GXk8BLzPlTSvZKeTN1ZPtsgzQmSXpe0OS2XlZV/uv5PJD2Wrr2pwXFJ+rv0+R+VdEyJeb+n5nNtlvQLSZ+rS1Pq5280Wrak2ZLWS9qSfs5qcu6ylGaLpGUl5v/VNFL3o5Jul3RQk3PH/a4K5P8lSdtrfsdnNDl33H8r1qKIaMsCTAOeBY4gG2zgEeCoujT/CfhGWl8K3Fpi/nOBY9L6bwHPNMj/BOAfpvB38BNgzjjHzwDuAEQ29NbGKfwuXgAOm8rPD3wIOAZ4vGbfV4CL0/rFwFUNzpsNbE0/Z6X1WSXlfyqwb1q/qlH+eb6rAvl/Cfh8ju9n3H8rXlpb2lnCa9hFpC7NErIuIpB1GTkpdSEpLCJ2RMTDaf2XZC0+E76Z3WZLgBsjs4HsPaO5U5DPScCzEdGo10tpIuJ+YGfd7trvuFl3oNOA9RGxMyJeBdYDk34ZtlH+EXFn/Obt/A1k729NiSafP488/1asBe0MeI26iNQHnLfSpD/K18mam0uVqspHAxsbHP6gpEck3SHpfSVnHcCdkh6StLzB8Ty/ozIsBW5ucmwqPz/AwRGxI62/ABzcIE27fg+fIitRNzLRd1XEhalKvapJlb5dn79yKtdoIeltwHeAz0XEL+oOP0xWzfsA8N/Ixv0r0x9HxDHA6cCnJX2o5OtPKL28eSbw9w0OT/XnHyWy+ltH3ouSdCmwF7ipSZKp+q6+DvwOsBDYAfzXkq5rObQz4DXrItIwjaR9gbeTdSEphaT9yILdTRHx3frjEfGLiPh/aX0tsJ+kvJ2oJxQR29PPl4DbyaoutfL8joo6HXg4Il5scH9T+vmTF0eq6elnowmgpvT3IOlc4CPAn6agO0aO76olEfFiRAxFNvHr/2xy3Xb8HVRSOwNewy4idWnWkHURgazLyD3N/iAnKz0LvA54KiL+pkmad408M5S0iOz3U0rAlXSApN8aWSd7eP54XbI1wCdSa+1xwOs11b+ynEOT6uxUfv4atd9xs+5A64BTJc1KVb5T077CJC0GvgCcGRG7mqTJ8121mn/tM9mzm1w3z78Va0U7W0jIWiGfIWuBujTtu4Lsjw9gJllVaxD4AXBEiXn/MVn16VFgc1rOAC4ALkhpLgSeIGsV2wD8UYn5H5Gu+0jKY+Tz1+YvssEOnwUeAwZK/v0fQBbA3l6zb8o+P1lg3QHsIXsOdR7ZM9m7gS3AXcDslHYAuLbm3E+lv4NB4JMl5j9I9nxs5G9g5K2AdwNrx/uuSsr/W+m7fZQsiM2tz7/ZvxUvxRd3LTOzyqhco4WZVZcDnplVhgOemVWGA56ZVYYDnplVhgOemVWGA56ZVcb/B1ims5/KCMokAAAAAElFTkSuQmCC"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
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