221082_Sowmya_Ex1_ass2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** * NOTE: ALL THE COMMANDS FOR PLOTTING A FIGURE SHOULD ALL GO IN THE SAME CELL. SEPARATING THEM OUT INTO MULTIPLE CELLS MAY CAUSE NOTHING TO SHOW UP. * **\n",
    "\n",
    "# Exercises\n",
    "\n",
    "Follow the instructions to recreate the plots using this data:\n",
    "\n",
    "## Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "x = np.arange(0,100)\n",
    "y = x*2\n",
    "z = x**2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Import matplotlib.pyplot as plt and set %matplotlib inline if you are using the jupyter notebook. What command do you use if you aren't using the jupyter notebook?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1\n",
    "\n",
    "** Follow along with these steps: **\n",
    "* ** Create a figure object called fig using plt.figure() **\n",
    "* ** Use add_axes to add an axis to the figure canvas at [0,0,1,1]. Call this new axis ax. **\n",
    "* ** Plot (x,y) on that axes and set the labels and titles to match the plot below:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'title')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.plot(x,y)\n",
    "ax.set_xlabel('x')\n",
    "ax.set_ylabel('y')\n",
    "ax.set_title('title')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2\n",
    "** Create a figure object and put two axes on it, ax1 and ax2. Located at [0,0,1,1] and [0.2,0.5,.2,.2] respectively.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_axes([0,0,1,1])\n",
    "ax2 = fig.add_axes([0.2,0.5,.2,.2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now plot (x,y) on both axes. And call your figure object to show it.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x193e5c41d80>]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_axes([0,0,1,1])\n",
    "ax2 = fig.add_axes([0.2,0.5,.2,.2])\n",
    "ax1.plot(x,y)\n",
    "ax2.plot(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3\n",
    "\n",
    "** Create the plot below by adding two axes to a figure object at [0,0,1,1] and [0.2,0.5,.4,.4]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1 = plt.figure()\n",
    "ax1 = fig1.add_axes([0,0,1,1])\n",
    "ax2 = fig1.add_axes([0.2,0.5,.4,.4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now use x,y, and z arrays to recreate the plot below. Notice the xlimits and y limits on the inserted plot:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DWptdktchdAMAAOCM/r18l37+5fjygDNu6awAPyLkueIzBgAAgNPauM+hF35bHvAf17VTC5YHPC+EbgAAAJxSQXGZHkhMUWm5ocHt7bqlB8sDni9CNwAAAE5p4meblXa4QI1sgZp6I8sDXghCNwAAAE7y+foD+jB5nywWacbNnVke8AIRugEAAFBB+tFCPfHxRknS/Ze3VM/mDUyuyPsRugEAAOBSVu7Ug4kpyisuU9em9fTglbFml1QjELoBAADg8sr3v2jd3hyFWP30r1u6yM+XuFgV+CwCAABAkrQm7ahmfr9TkvTcDR0UHVbH5IpqDkI3AAAAlF1QogcTU+Q0pBu7NtHQTlFml1SjELoBAABqOcMwNOGjDcpwHFNMeLCeGdbe7JJqHEI3ap0pU6bIYrEoISHBdeyOO+6QxWKp8OjVq5d5RQIAUI3mrdqjxVsOyt/Xoldv7aJgq5/ZJdU4fEZRqyQlJWn27Nnq2LHjSecGDx6sd955x/VxQADrkQIAar6tGbn655dbJUmPXd1WcY1tJldUMzHSjVojPz9fI0eO1FtvvaX69eufdN5qtcput7seYWFhJlQJAED1KSwp07j3U1RS5tTlrRvqrr4XmV1SjUXoRq1x33336dprr9VVV111yvNLly5VRESEWrVqpTFjxigrK6uaKwQAoHr984st+iUrXxEhVr14Uye2eXcjppegVkhMTNS6deuUlJR0yvNXX321brrpJjVr1kxpaWl66qmndMUVVyg5OVlWq/WUzykuLlZxcbHr49zcXLfUDgCAO3y5IUPvr0l3bfPeoO6pf96hahC6UeOlp6frwQcf1OLFixUYGHjKNjfffLPr33FxcerevbuaNWumL7/8UjfccMMpnzNlyhRNmjTJLTUDAOBO6UcL9djHGyRJY/u3UJ+W4SZXVPMxvQQ1XnJysrKystStWzf5+fnJz89Py5Yt0yuvvCI/Pz+Vl5ef9JxGjRqpWbNm2rlz52mv+/jjj8vhcLge6enp7rwNAACqRGm5Uw8kpijvWJm6NK2nhKtamV1SreDRobusrEx///vfFRMTo6CgIDVv3lzPPPOMnE6nq41hGJo4caKioqIUFBSk/v37a/PmzRWuU1xcrHHjxik8PFzBwcEaOnSo9u3bV6FNdna24uPjZbPZZLPZFB8fr5ycnOq4TbjZlVdeqY0bNyo1NdX16N69u0aOHKnU1FT5+vqe9JwjR44oPT1djRo1Ou11rVarQkNDKzwAAPB0Ly7erpS9OQoN9NMrt3SRP9u8VwuP/iw///zzeuONNzRz5kxt3bpV06ZN0wsvvKBXX33V1WbatGmaPn26Zs6cqaSkJNntdg0YMEB5eXmuNgkJCVq4cKESExO1fPly5efna8iQIRVGOEeMGKHU1FQtWrRIixYtUmpqquLj46v1fuEeISEhiouLq/AIDg5WgwYNFBcXp/z8fD388MNauXKldu/eraVLl+q6665TeHi4/vSnP5ldPgAAVWbZjkN6c9kuSdK0P3dkm/dq5NFzuleuXKlhw4bp2muvlSRddNFFev/997V27VpJx0e5Z8yYoSeffNI17/bdd99VZGSkFixYoHvuuUcOh0Nvv/225s6d61q1Yt68eYqOjta3336rQYMGaevWrVq0aJFWrVqlnj17SpLeeust9e7dW9u3b1fr1q1NuHtUF19fX23cuFHvvfeecnJy1KhRI11++eX64IMPFBISYnZ5AABUiazcYxr/QaokKb5XMw2OO/1fc1H1PDp0X3LJJXrjjTe0Y8cOtWrVSuvXr9fy5cs1Y8YMSVJaWpoyMzM1cOBA13OsVqv69eunFStW6J577lFycrJKS0srtImKilJcXJxWrFihQYMGaeXKlbLZbK7ALUm9evWSzWbTihUrThu6Wb3Cey1dutT176CgIH3zzTfmFQMAgJuVOw0lfJCqIwUlamMP0ZPXtjW7pFrHo0P3hAkT5HA41KZNG/n6+qq8vFzPPfecbr31VklSZmamJCkyMrLC8yIjI7Vnzx5Xm4CAgJM2Q4mMjHQ9PzMzUxERESe9fkREhKvNqbB6BQAA8Aav//CLVvx6REH+vpo5oqsC/U9+PxPcy6PndH/wwQeaN2+eFixYoHXr1undd9/Viy++qHfffbdCuxMXcjcM46yLu5/Y5lTtz3YdVq8AAACebk3aUb387Q5J0j+vj1PLiLomV1Q7efRI9yOPPKLHHntMt9xyiySpQ4cO2rNnj6ZMmaJRo0bJbrdLOj5S/cdVJrKyslyj33a7XSUlJcrOzq4w2p2VlaU+ffq42hw8ePCk1z906NBJo+h/ZLVaT7txCgCgZjIMQ5m5x7TrUIF2HS5Q2qECbU8//V9FATNlF5TowcQUOQ3phi6N9eduTcwuqdby6NBdWFgoH5+Kg/G+vr6uJQNjYmJkt9u1ZMkSdenSRZJUUlKiZcuW6fnnn5ckdevWTf7+/lqyZImGDx8uScrIyNCmTZs0bdo0SVLv3r3lcDi0Zs0aXXzxxZKk1atXy+FwuII5AKB2cRSVKu1wgdIO51cI2GmHC1RUWnF9f2dxoUlVAqdnGIYe/nC9MhzHFBMerH9eH2d2SbWaR4fu6667Ts8995yaNm2q9u3bKyUlRdOnT9ddd90l6fiUkISEBE2ePFmxsbGKjY3V5MmTVadOHY0YMUKSZLPZNHr0aD300ENq0KCBwsLC9PDDD6tDhw6u1Uzatm2rwYMHa8yYMXrzzTclSXfffbeGDBnCyiUAUIMVl5Ur/WhhhVC963C+0g4X6HB+yWmf5+djUdOwOmreMFgx4cGKDDI0Zkb11Q1Uxr9/StN327IU4Oej10Z0VbDVo2NfjefRn/1XX31VTz31lMaOHausrCxFRUXpnnvu0T/+8Q9Xm0cffVRFRUUaO3assrOz1bNnTy1evLjCUm8vv/yy/Pz8NHz4cBUVFenKK6/UnDlzKmyKMn/+fD3wwAOuVU6GDh2qmTNnVt/NAgDc4lTTQX4P1ulHC+U0Tv/cyFCrYsKDFRNeVy1+C9jNG9ZVk/pBFTYUyc3N1ZhquBegstbtzdbzi7ZJkv4xpJ3aRbGBm9kshmGc4dsNzkVubq5sNpscDge7E9ZC9D9grnOZDvJHda1+v4Xp4N8CdrBaNKyri8KDVbeSI4N8/cOTOApLdc0rP2l/TpGu7dBIM0d0OesCEzh/lf369+iRbgAA/qiqpoM0b1j3+H/Dg9UwxEogQY1hGIYe/t967c8pUtOwOppyYwf+//YQhG4AgEepjukgQE31zs+7tWTLQQX4Hp/HHRrob3ZJ+A2hGwBgCjOngwA10fr0HE35eqsk6Ylr2qhDE5vJFeGP+O4EAHAbpoMA1cNRVKr731+n0nJDg9vbNarPRWaXhBMQugEAF4TpIIC5DMPQo/9br/SjRWpSP0jP/7kjv5h6IEI3AKBSTjUdZNehAu1mOghgqnd+3q1vNh+Uv69Fr43oKlsQ87g9Ed/tAAAuTAcBvEvqH+ZxP3lNW3WKrmduQTgtQjcA1DJMBwFqhpzCEt03//g87ms6MI/b0xG6AaCGYjoIUHMZhqGHP9yg/TlFatagjqbeyDxuT8d3TwDwYr9PB/n1t6X2mA4C1A7//ilN325lPW5vQugGAA934nSQXYfyfxvBZjoIUBsl78nW84u2SZKeuq6d4hqzHrc3IHQDgIeoqukgzRvWVfPwYKaDADXQ0YISjVuwTmVOQ9d1itJtPZuaXRIqie/GAFCNqnw6SMNgNazLdBCgNnA6DSV8kKoDjmNqHh6sKTd04GvfixC6AaCKMR0EgDu89sMv+nHHIQX6++j127rylywvQ28BwHk61XSQtN9GsJkOAqAq/fzLYb387Q5J0j+HxamNPdTkinCu+O4OAGfAdBAAZjuYe0wPJqbIaUg3d4/WTd2jzS4J54HQDaDWYzoIAE9VVu7UuAUpOpxforaNQjVpWHuzS8J5InQDqDVYHQSAt3lh8Xat2X1Uda1+en1kVwX6+5pdEs4TPy0A1ChMBwFQUyzZclBvLtslSXrhzx0VEx5sckW4EIRuAF6H6SAAarq9Rwo1/r+pkqS7+sbo6g6NzC0IF4zQDcBjMR0EQG10rLRcf52frLxjZeratJ4eu7qN2SWhCvDTB4CpmA4CABU9/elmbT6Qq7DgAL02sqsC/PgrXE1A6AbgdkwHAYDK+SBprz5Ymy4fi/TqrV3UyBZkdkmoIoRuAFWmqqaDxIQHq0XDukwHAVCrbNrv0FOfbpYkPTSwtfq2DDe5IlQlfpoBOCdVPh0kPFgNQ5gOAqB2cxSWauz8dSopc+rKNhH6a78WZpeEKkboBnASpoMAQPVxOg099GGq9h4tVHRYkKYP7ywfHwYiahpCN1CLMR0EAMw3a9mv+nZrlgL8fDRrZDfZ6vibXRLcgJ+OQA3HdBAA8FzLdx7WS4u3S5KeGdpecY1tJlcEdyF0AzUA00EAwPvszynSA4kpchrSzd2jdcvFTc0uCW5E6Aa8CNNBAKBmKC4r19h5yTpaUKIOjW2aNKy92SXBzfhpi1pnypQpeuKJJ/Tggw9qxowZko6PFE+aNEmzZ89Wdna2evbsqddee03t21f/N0GmgwBAzTfp8y1av8+henX89frIrgr09zW7JLgZoRu1SlJSkmbPnq2OHTtWOD5t2jRNnz5dc+bMUatWrfTss89qwIAB2r59u0JCQqq8DqaDAEDt9d+16Vqweq8sFulft3RRdFgds0tCNSB0w2Pdcccduuuuu3TZZZdVyfXy8/M1cuRIvfXWW3r22Wddxw3D0IwZM/Tkk0/qhhtukCS9++67ioyM1IIFC3TPPfec92syHQQA8Eeb9jv09082SZL+dlUr9WvV0OSKUF346Q2PlZeXp4EDByo6Olp33nmnRo0apcaNG5/39e677z5de+21uuqqqyqE7rS0NGVmZmrgwIGuY1arVf369dOKFSvOOXT/45NN2l8opoMAACrIKSzRvfOSVVLm1BVtInT/5S3NLgnViNANj/XRRx/pyJEjmjdvnubMmaOnn35aV111lUaPHq1hw4bJ37/y65gmJiZq3bp1SkpKOulcZmamJCkyMrLC8cjISO3Zs+e01ywuLlZxcbHr49zcXEnSxyn75WP9/z8VMh0EAFDuNPRgYqr2ZRepaVgdvcwGOLUOoRserUGDBnrwwQf14IMPKiUlRf/5z38UHx+vunXr6rbbbtPYsWMVGxt7xmukp6frwQcf1OLFixUYGHjadieOLBuGccbR5ilTpmjSpEknHR/bv4XaNotkOggAwGXGtzu0bMchBfr7aNZtXdkApxZimA1eISMjQ4sXL9bixYvl6+ura665Rps3b1a7du308ssvn/G5ycnJysrKUrdu3eTn5yc/Pz8tW7ZMr7zyivz8/Fwj3L+PeP8uKyvrpNHvP3r88cflcDhcj/T0dEnS2MtbaljnxoprbCNwAwC0eHOmXv3+F0nS1Bs6qn0UG+DURiQCeKzS0lJ99tlneuedd7R48WJ17NhRf/vb3zRy5EjXiiKJiYn661//qr/97W+nvc6VV16pjRs3Vjh25513qk2bNpowYYKaN28uu92uJUuWqEuXLpKkkpISLVu2TM8///xpr2u1WmW1WqvgTgEANdWvh/I1/r/rJUl39r1I13c5//cmwbsRuuGxGjVqJKfTqVtvvVVr1qxR586dT2ozaNAg1atX74zXCQkJUVxcXIVjwcHBatCgget4QkKCJk+erNjYWMXGxmry5MmqU6eORowYUVW3AwCoZfKLy3TP3GTlF5fp4ovC9MQ1bc0uCSYidMNjvfzyy7rpppvOOA+7fv36SktLu+DXevTRR1VUVKSxY8e6NsdZvHixW9boBgDUfIZh6JEP1+uXrHxFhlo1c2QX3jxfy1kMwzjDNhw4F7m5ubLZbHI4HAoNDTW7HFQz+h+ovfj6x4lmLf1Vzy/aJn9fiz64p7e6Nq1vdklwk8p+/fMrFwAAQBX6aechvfDNNknSxKHtCdyQROgGAACoMulHCzXu/RQ5DWl49yYacXFTs0uChyB0AwAAVIHCkjKNeW+tcgpL1Sm6np4ZFsfuwnAhdAMAAFwgwzA04aON2paZp/C6AXrjtq4K9Pc1uyx4EEI3AADABXrrp136fP0B+flY9PrIbmpkCzK7JHgYQjcAAMAF+GnnIU39+vgbJ5++rp0ujgkzuSJ4IkI3AADAeTrxjZO39WpmdknwUIRuAACA88AbJ3EuCN0AAADnyDAMPfq/DbxxEpVG6AYAADhHs5b9qi82ZMjf16JZt/HGSZwdoRsAAOAc/LAtSy98s13S8R0ne1zEGydxdoRuAACASvr1UL4eeD9FhiGN6NlUI3vyxklUDqEbAACgEnKPlWrMe2uVV1ymHhfV18Tr2ptdErwIoRsAAOAsyp2GEhJTtetQgRrZAvX6yG4K8CNGofL4vwUAAOAspi/Zru+3Zcnq56PZ8d3VMMRqdknwMoRuAACAM/hiwwG99sOvkqTnb+yoDk1sJlcEb0ToBgAAOI1N+x16+MP1kqS7L2uu67s0NrkieCtCNwAAwCkcyivWmPfW6lipU/1aNdSEwW3MLglejNANAABwguKyct07L1kZjmNq3jBYr9zaRb4+bPGO80foBgAA+APDMPTUJ5uUvCdbIYF++vft3WUL8je7LHg5QjcAAMAfzFmxW/9du08+FmnmiK5q3rCu2SWhBiB0AwAA/OannYf0zy+2SJKeuKat+rVqaHJFqCkI3QAAAJLSDhfo/gUpchrSjV2baPQlMWaXhBqE0A0AAGo9R1GpRr+bJEdRqbo0rafn/hQni4U3TqLqELoBAECtVlbu1P0L1mnXoQJF2QL1Znw3Bfr7ml0WahhCNwAAqNWe/XKrftp5WEH+vnprVHdFhASaXRJqIEI3AACotRas3qs5K3ZLkl6+uZPaR7HFO9yD0A0AAGqllb8e0T8+3SRJemhAKw2Oa2RyRajJCN0AAKDW2XOkQH+dn6wyp6HrOkXp/itaml0SajhCNwAAqFVyj5XqL++uVU5hqTo1semFP3dkpRK4HaEbAADUGsdXKknRzqx8RYZaNfv27qxUgmpB6AYAALXGs19u1Y87DinI31dvj+qhyFBWKkH1IHQDAIBaYe6qPRVWKolrzEolqD6EbgAAUOP9tPOQJn62WZL0yKDWrFSCakfoBgAANdovWfkaO3+dyp2GbujaWGP7tzC7JNRChG4AAFBjZReUaPS7Sco7Vqbuzepryg0dWKkEpiB0AwCAGqmkzKl75iVrz5FCNakfpDfju8nqx0olMIfHh+79+/frtttuU4MGDVSnTh117txZycnJrvOGYWjixImKiopSUFCQ+vfvr82bN1e4RnFxscaNG6fw8HAFBwdr6NCh2rdvX4U22dnZio+Pl81mk81mU3x8vHJycqrjFuFms2bNUseOHRUaGqrQ0FD17t1bX3/9tev8HXfcIYvFUuHRq1cvEysGAFwowzD0+McbtSbtqOpa/fT2qB5qUNdqdlmoxTw6dGdnZ6tv377y9/fX119/rS1btuill15SvXr1XG2mTZum6dOna+bMmUpKSpLdbteAAQOUl5fnapOQkKCFCxcqMTFRy5cvV35+voYMGaLy8nJXmxEjRig1NVWLFi3SokWLlJqaqvj4+Oq8XbhJkyZNNHXqVK1du1Zr167VFVdcoWHDhlX45Wzw4MHKyMhwPb766isTKwYAXKjXl/6qj9btk6+PRa+N7KrW9hCzS0JtZ3iwCRMmGJdccslpzzudTsNutxtTp051HTt27Jhhs9mMN954wzAMw8jJyTH8/f2NxMREV5v9+/cbPj4+xqJFiwzDMIwtW7YYkoxVq1a52qxcudKQZGzbtq3S9TocDkOS4XA4Kv0cmKN+/frGv//9b8MwDGPUqFHGsGHDLvia9D9Qe/H171k+X7/faDbhC6PZhC+M91buNrsc1HCV/fr36JHuzz77TN27d9dNN92kiIgIdenSRW+99ZbrfFpamjIzMzVw4EDXMavVqn79+mnFihWSpOTkZJWWllZoExUVpbi4OFeblStXymazqWfPnq42vXr1ks1mc7U5leLiYuXm5lZ4wLOVl5crMTFRBQUF6t27t+v40qVLFRERoVatWmnMmDHKysoysUoAwPlatzdb4/+7XpJ0V98YxfdqZnJFwHEeHbp37dqlWbNmKTY2Vt98843uvfdePfDAA3rvvfckSZmZmZKkyMjICs+LjIx0ncvMzFRAQIDq169/xjYREREnvX5ERISrzalMmTLFNQfcZrMpOjr6/G8WbrVx40bVrVtXVqtV9957rxYuXKh27dpJkq6++mrNnz9f33//vV566SUlJSXpiiuuUHFx8RmvyS9dAOBZ0o8W6u731qqkzKkr20ToyWvbml0S4OJndgFn4nQ61b17d02ePFmS1KVLF23evFmzZs3S7bff7mp34tI/hmGcdTmgE9ucqv3ZrvP4449r/Pjxro9zc3MJ3h6qdevWSk1NVU5Ojj766CONGjVKy5YtU7t27XTzzTe72sXFxal79+5q1qyZvvzyS91www2nveaUKVM0adKk6igfAHAWucdKNfrdJB3OL1G7RqF65dYu8vVhaUB4Do8e6W7UqJFrNPJ3bdu21d69eyVJdrtdkk4ajc7KynKNftvtdpWUlCg7O/uMbQ4ePHjS6x86dOikUfQ/slqtrhUxfn/AMwUEBKhly5bq3r27pkyZok6dOulf//rXKds2atRIzZo1086dO894zccff1wOh8P1SE9Pd0fpAICzKC136r7567TjYL4iQ616+47uCrZ69LgiaiGPDt19+/bV9u3bKxzbsWOHmjU7Pj8rJiZGdrtdS5YscZ0vKSnRsmXL1KdPH0lSt27d5O/vX6FNRkaGNm3a5GrTu3dvORwOrVmzxtVm9erVcjgcrjaoWQzDOO30kSNHjig9PV2NGp15i2B+6QIA8xmGoX98ukk/7TysIH9fvT2qhxrZgswuCziJR/8a+Le//U19+vTR5MmTNXz4cK1Zs0azZ8/W7NmzJR2fEpKQkKDJkycrNjZWsbGxmjx5surUqaMRI0ZIkmw2m0aPHq2HHnpIDRo0UFhYmB5++GF16NBBV111laTjo+eDBw/WmDFj9Oabb0qS7r77bg0ZMkStW7c25+ZRZZ544gldffXVio6OVl5enhITE7V06VItWrRI+fn5mjhxom688UY1atRIu3fv1hNPPKHw8HD96U9/Mrt0AMBZvLFsl95fky4fi/TqrV0U19hmdknAKXl06O7Ro4cWLlyoxx9/XM8884xiYmI0Y8YMjRw50tXm0UcfVVFRkcaOHavs7Gz17NlTixcvVkjI/6/H+fLLL8vPz0/Dhw9XUVGRrrzySs2ZM0e+vv+/K9X8+fP1wAMPuFY5GTp0qGbOnFl9Nwu3OXjwoOLj45WRkSGbzaaOHTtq0aJFGjBggIqKirRx40a99957ysnJUaNGjXT55Zfrgw8+qPD/EADA83yx4YCeX7RNkvSPIe10VbvTTwkFzGYxDMMwu4iaIjc3VzabTQ6Hg6kGtRD9D9RefP1Xv+Q9R3XrW6tVUubUHX0u0sSh7c0uCbVUZb/+PXpONwAAwIn2HCnQmPeSVVLm1FVtI/XUkHZnfxJgMkI3AADwGtkFJbrznSQdLShRh8Y2vXJrZ5YGhFcgdAMAAK9QXFaue+Yla9fhAkXZAvX2qO6qE+DRb08DXAjdAADA4zmdhh7+cIPWpB1ViNVP/7mzhyJCA80uC6g0QjcAAPB4077Zrs/XH5Cfj0VvxHdTGztvWIV3IXQDAACPNm/VHr2x7FdJ0vM3dlTfluEmVwScO0I3AADwWN9tPah/fLpJkjR+QCvd2K2JyRUB54fQDQAAPNKGfTm6f0GKnIY0vHsTjbuipdklAeeN0A0AADxO+tFC3TVnrYpKy3VpbLie+1MHWSwsDQjvRegGAAAeJaewRHe8s0aH84vVxh6i10d2lb8vkQXejf+DAQCAxzhWWq6/vLtWvx46vhb3nDsvVkigv9llAReM0A0AADxCudNQQmKq1u7JVmign+bcdbHsNtbiRs1A6AYAAKYzDEP//GKLFm3OVICvj2bf3l2tIkPMLguoMoRuAABgurd+2qU5K3ZLkl4a3km9mjcwtyCgihG6AQCAqT5N3a/JX22TJP392ra6rlOUyRUBVY/QDQAATLPi18N6+MP1kqS7+sboL5c2N7kiwD0I3QAAwBSbDzh093vJKi03dG2HRvr7tW3NLglwG0I3AACodulHC3XHO0nKLy5Tz5gwvTS8k3x82PwGNRehGwAAVKujBSUa9Z81OpR3fPOb2bd3V6C/r9llAW5F6AYAANWmsKRMd81J0q7DBWpcL0hz7rxYtiA2v0HNR+gGAADVoqzcqfsXpCg1PUe2IH+9e1cPNr9BrUHoBgAAbmcYhp5YuFHfb8uS1c9H/7mju1pGsPkNag9CNwAAcLsXF2/Xf9fuk49Fmjmiq7o1CzO7JKBaEboBAIBbvfNzml774VdJ0nN/6qAB7SJNrgiofoRuAADgNp+m7tekz7dIkh4e2Eq3XtzU5IoAcxC6AQCAW/y445Brt8k7+lyk+y5vaXJFgHkI3QAAoMqlpufo3nnHd5u8rlOU/jGknSwWNr9B7UXoBgAAVeqXrHzd+c4aFZaU69LYcL10E7tNAoRuAABQZTIcRRr1nzXKLixVxyY2zbqtmwL8iBsAXwUAAKBKZBeUKP7tNdqfU6Tm4cF6544eqmv1M7sswCMQugEAwAUrKC7THXOS9EtWvuyhgXpv9MVqUNdqdlmAxyB0AwCAC1JcVq575yVrfXqO6tXx19zRF6tJ/TpmlwV4FEI3AAA4b+VOQ+M/WK+fdh5WnQBfzbnzYsVGsr07cCJCNwAAOC+GYejvn2zSlxsz5O9r0ez47uocXc/ssgCPROgGAADn5cXF2/X+mr3ysUj/uqWLLokNN7skwGMRugEAwDmb/eOveu2HXyVJz/2pg67p0MjkigDPRugGAADn5P01ezX5q22SpAmD2+jWi5uaXBHg+QjdqPFmzZqljh07KjQ0VKGhoerdu7e+/vpr13nDMDRx4kRFRUUpKChI/fv31+bNm02sGAA81+frD+iJhRslSX/t30J/7d/C5IoA70DoRo3XpEkTTZ06VWvXrtXatWt1xRVXaNiwYa5gPW3aNE2fPl0zZ85UUlKS7Ha7BgwYoLy8PJMrBwDP8sO2LP3tg1QZhjSyZ1M9Oqi12SUBXoPQjRrvuuuu0zXXXKNWrVqpVatWeu6551S3bl2tWrVKhmFoxowZevLJJ3XDDTcoLi5O7777rgoLC7VgwQKzSwcAj7Em7ajunZesMqehoZ2i9MywOFksFrPLArzGeYXuK664QpMmTTrpeHZ2tq644ooLLgpwl/LyciUmJqqgoEC9e/dWWlqaMjMzNXDgQFcbq9Wqfv36acWKFSZWCgCeY9N+h0bPSVJxmVNXtInQS8M7ydeHwA2cC7/zedLSpUu1ceNGpaSkaP78+QoODpYklZSUaNmyZVVaIFAVNm7cqN69e+vYsWOqW7euFi5cqHbt2rmCdWRkZIX2kZGR2rNnzxmvWVxcrOLiYtfHDodDkpSbm1vF1QPwdL9/3RuGYXIlVW/nwTzd/p81yisu08UxYXp9ZFf5+/KHcuBcnVfolqRvv/1W99xzj3r16qXPP/9cF110URWWBVSt1q1bKzU1VTk5Ofroo480atSoCr8gnvgnUsMwzvpn0ylTppzyLz7R0dFVUzQAr3PkyBHZbDazy6gye48U6ra3V+toQYk6NrHp7VHdFejva3ZZgFeyGOfxa7mPj48yMzNls9l01113afHixfrwww/Vtm1bRUVFqby83B21erzc3FzZbDY5HA6FhoaaXQ7O4KqrrlKLFi00YcIEtWjRQuvWrVOXLl1c54cNG6Z69erp3XffPe01ThzpzsnJUbNmzbR3794a9UO3snJzcxUdHa309PRa+f8/91+779/hcKhp06bKzs5WvXr1zC6nSmQ4inTTGyu1L7tIrSNDlHh3L9UPDjC7LMDjVDb/nddI9+8jgFarVfPnz9ezzz6rwYMHa8KECedXLVDNDMNQcXGxYmJiZLfbtWTJElfo/n2a1PPPP3/Ga1itVlmt1pOO22y2Whk6fvf70oy1Ffdfu+/fx6dmTLs4nF+skf9erX3ZRbqoQR3N/cvFBG7gAp1X6D5xcPzvf/+72rZtq1GjRlVJUUBVeuKJJ3T11VcrOjpaeXl5SkxM1NKlS7Vo0SJZLBYlJCRo8uTJio2NVWxsrCZPnqw6depoxIgRZpcOANXOUViq+LfXaNehAkXZAjXvLz0VERJodlmA1zuv0J2WlqaGDRtWOHbjjTeqTZs2Wrt2bZUUBlSVgwcPKj4+XhkZGbLZbOrYsaMWLVqkAQMGSJIeffRRFRUVaezYscrOzlbPnj21ePFihYSEmFw5AFSv/OIy3TFnjbZm5Cq8rlXzx/RSk/p1zC4LqBHOK3Q3a9bslMfbt2+v9u3bX1BBQFV7++23z3jeYrFo4sSJmjhx4gW9jtVq1dNPP33KKSe1AffP/XP/3n3/x0rLNebdtUrZm6N6dfw17y8XKyY82OyygBrjvN5IiVPjjZQAAG9UXFauMe8l68cdh1TX6qf5f+mpTtH1zC4L8AqVzX814x0fAADgvJSWO3X/ghT9uOOQgvx99c6dPQjcgBsQugEAqKXKnYb+9kGqlmw5qAA/H/17VHf1uCjM7LKAGonQDQBALeR0Gnrkf+v1xYYM+fta9OZt3dS3ZbjZZQE1FqEbAIBaxjAM/f3TTfp43X75+lj06q1ddXmbCLPLAmo0QjdwgilTpqhHjx4KCQlRRESErr/+em3fvr1CG8MwNHHiREVFRSkoKEj9+/fX5s2bz3rtjz76SO3atZPValW7du20cOFCd93GeXPX/c+ZM0cWi+Wkx7Fjx9x5O+esMvf/8ccfa9CgQQoPD5fFYlFqamqlrl1T+v987r+m9H9paakmTJigDh06KDg4WFFRUbr99tt14MCBs17bU/rfMAw988UWLVi9VxaLNH14Jw2Os5tSC1CbELqBEyxbtkz33XefVq1apSVLlqisrEwDBw5UQUGBq820adM0ffp0zZw5U0lJSbLb7RowYIDy8vJOe92VK1fq5ptvVnx8vNavX6/4+HgNHz5cq1evro7bqjR33b90fLfCjIyMCo/AQM/adKMy919QUKC+fftq6tSplb5uTer/87l/qWb0f2FhodatW6ennnpK69at08cff6wdO3Zo6NChZ7yup/S/YRia8vU2vfPzbknS8zd21LDOjau1BqDWMlBlHA6HIclwOBxml4IqlJWVZUgyli1bZhiGYTidTsNutxtTp051tTl27Jhhs9mMN95447TXGT58uDF48OAKxwYNGmTccsst7im8ilTV/b/zzjuGzWZzd7lV7sT7/6O0tDRDkpGSknLW69SU/v+jc7n/mtj/v1uzZo0hydizZ89p23hC/zudTmPaoq1GswlfGM0mfGHMW7W72l4bqMkqm/8Y6QbOwuFwSJLCwo6/oz8tLU2ZmZkaOHCgq43ValW/fv20YsWK015n5cqVFZ4jSYMGDTrjczxBVd2/JOXn56tZs2Zq0qSJhgwZopSUFPcVXkVOvP/zVVP6/0LU1P53OByyWCyqV6/eadt4Qv//67udeu2HXyVJk4a218iep97oDoB7ELqBMzAMQ+PHj9cll1yiuLg4SVJmZqYkKTIyskLbyMhI17lTyczMPOfnmK0q779NmzaaM2eOPvvsM73//vsKDAxU3759tXPnTvfdwAU61f2fr5rS/+erpvb/sWPH9Nhjj2nEiBFn3BTD7P5/7YdfNOPb45/rv1/bVqP6XFQtrwvg/53XNvBAbXH//fdrw4YNWr58+UnnLBZLhY8NwzjpWFU8x0xVef+9evVSr169XB/37dtXXbt21auvvqpXXnml6oquQme6//NRk/r/XNXE/i8tLdUtt9wip9Op119//azXM6v/Z//4q1745vibQScMbqO/XNrc7a8J4GSMdAOnMW7cOH322Wf64Ycf1KRJE9dxu/34u/xPHKHKyso6aSTrj+x2+zk/x0xVff8n8vHxUY8ePTx2pPN093++akr/VxVv7//S0lINHz5caWlpWrJkyRlHuSXz+v8/y9M0+attkqSHBrTSX/u3cOvrATg9QjdwAsMwdP/99+vjjz/W999/r5iYmArnY2JiZLfbtWTJEtexkpISLVu2TH369DntdXv37l3hOZK0ePHiMz7HDO66/1O9Tmpqqho1alRltVeFs93/+aop/V+Vr+Ot/f974N65c6e+/fZbNWjQ4KzXNaP/5/ycpme+2CJJGndFS427MtZtrwWgEtzzPs7aidVLaoa//vWvhs1mM5YuXWpkZGS4HoWFha42U6dONWw2m/Hxxx8bGzduNG699VajUaNGRm5urqtNfHy88dhjj7k+/vnnnw1fX19j6tSpxtatW42pU6cafn5+xqpVq6r1/s7GXfc/ceJEY9GiRcavv/5qpKSkGHfeeafh5+dnrF69ulrv72wqc/9HjhwxUlJSjC+//NKQZCQmJhopKSlGRkaGq01N7v/zuf+a0v+lpaXG0KFDjSZNmhipqakV2hQXF7uuY3b/z/k5zbVKybRFWw2n0+mW1wFQ+fxH6K5ChO6aQdIpH++8846rjdPpNJ5++mnDbrcbVqvVuOyyy4yNGzdWuE6/fv2MUaNGVTj24YcfGq1btzb8/f2NNm3aGB999FE13NG5cdf9JyQkGE2bNjUCAgKMhg0bGgMHDjRWrFhRTXdVeZW5/3feeeeUbZ5++mlXm5rc/+dz/zWl/39fJvFUjx9++MF1HTP7/90V/x+4p35N4AbcrbL5z2IYhlG1Y+e1V25urmw2mxwOx1nn9wEAUNXmrtqjpz7ZJEm6p19zPTa4jUe/WReoCSqb/5jTDQBADTB/9f8H7rsvI3ADnobQDQCAl1uweq+eXHg8cP/lkhg9fjWBG/A0hG4AALzYvFV79MTCjZKku/rG6Mlr2xK4AQ/E5jgAAHipuSt366lPN0uSRl8So78TuAGPRegGAMALvbtit57+7HjgHnNpjJ64hsANeDJCNwAAXuadn9M06fPjG9/cc1lzPcYcbsDjEboBAPAi/1n+/ztN3tuvhSYMbk3gBrwAoRsAAC/x75926dkvt0qSxvZvoUcGEbgBb0HoBgDAC7y+9BdNW7RdknT/5S310MBWBG7AixC6AQDwcP/6dqde/naHJOlvV7XSg1fFmlwRgHPFOt0AcJ4OHToku92uyZMnu46tXr1aAQEBWrx4sYmVoaYwDEMvLd7uCtyPDGpN4Aa8FCPdAHCeGjZsqP/85z+6/vrrNXDgQLVp00a33Xabxo4dq4EDB5pdHrycYRiaumib3ly2S5L05DVtNeay5iZXBeB8EboB4AJcc801GjNmjEaOHKkePXooMDBQU6dONbsseDnDMPTPL7bqPz+nSZImXtdOd/SNMbkqABfCYhiGYXYRNUVubq5sNpscDodCQ0PNLgdANSkqKlJcXJzS09O1du1adezY0eyS4MWcTkNPfbpJ81fvlSQ9e32cbuvVzOSqAJxOZfOfV83pnjJliiwWixISElzHDMPQxIkTFRUVpaCgIPXv31+bN2+u8Lzi4mKNGzdO4eHhCg4O1tChQ7Vv374KbbKzsxUfHy+bzSabzab4+Hjl5ORUw10B8Ha7du3SgQMH5HQ6tWfPHrPLgRcrdxp65H8bNH/1Xlks0rQbOxK4gRrCa0J3UlKSZs+efdII0rRp0zR9+nTNnDlTSUlJstvtGjBggPLy8lxtEhIStHDhQiUmJmr58uXKz8/XkCFDVF5e7mozYsQIpaamatGiRVq0aJFSU1MVHx9fbfcHwDuVlJRo5MiRuvnmm/Xss89q9OjROnjwoNllwQuVljv1YGKKPlq3T74+Fs24ubOG94g2uywAVcQrppfk5+era9euev311/Xss8+qc+fOmjFjhgzDUFRUlBISEjRhwgRJx0e1IyMj9fzzz+uee+6Rw+FQw4YNNXfuXN18882SpAMHDig6OlpfffWVBg0apK1bt6pdu3ZatWqVevbsKUlatWqVevfurW3btql169aVqpPpJUDt88gjj+h///uf1q9fr7p16+ryyy9XSEiIvvjiC7NLgxcpLivX/QtStGTLQfn7WvTqrV00OK6R2WUBqIQaNb3kvvvu07XXXqurrrqqwvG0tDRlZmZWWCXAarWqX79+WrFihSQpOTlZpaWlFdpERUUpLi7O1WblypWy2WyuwC1JvXr1ks1mc7U5leLiYuXm5lZ4AKg9li5dqhkzZmju3LkKDQ2Vj4+P5s6dq+XLl2vWrFlmlwcvUVRSrjHvJWvJloMK8PPR7PjuBG6gBvL41UsSExO1bt06JSUlnXQuMzNTkhQZGVnheGRkpGteZWZmpgICAlS/fv2T2vz+/MzMTEVERJx0/YiICFebU5kyZYomTZp0bjcEoMbo37+/SktLKxxr2rQp7wdBpeUXl+kv7yZp1a6jCvL31b9HdVffluFmlwXADTx6pDs9PV0PPvig5s2bp8DAwNO2O3EbXMMwzro17oltTtX+bNd5/PHH5XA4XI/09PQzviYAAL/LKSzRyH+v1qpdR1XX6qf3Rl9M4AZqMI8O3cnJycrKylK3bt3k5+cnPz8/LVu2TK+88or8/PxcI9wnjkZnZWW5ztntdpWUlCg7O/uMbU71xqdDhw6dNIr+R1arVaGhoRUeAACczaG8Yt0ye5XWp+eoXh1/LRjTUz0uCjO7LABu5NGh+8orr9TGjRuVmprqenTv3l0jR45UamqqmjdvLrvdriVLlrieU1JSomXLlqlPnz6SpG7dusnf379Cm4yMDG3atMnVpnfv3nI4HFqzZo2rzerVq+VwOFxtAACoCvtzinTzmyu1LTNPDUOs+uDu3urYpJ7ZZQFwM4+e0x0SEqK4uLgKx4KDg9WgQQPX8YSEBE2ePFmxsbGKjY3V5MmTVadOHY0YMUKSZLPZNHr0aD300ENq0KCBwsLC9PDDD6tDhw6uN2a2bdtWgwcP1pgxY/Tmm29Kku6++24NGTKk0iuXAABwNrsPF2jkv1drf06RGtcL0vy/9NRF4cFmlwWgGnh06K6MRx99VEVFRRo7dqyys7PVs2dPLV68WCEhIa42L7/8svz8/DR8+HAVFRXpyiuv1Jw5c+Tr6+tqM3/+fD3wwAOuVU6GDh2qmTNnVvv9AABqpu2Zebrt7dU6lFes5uHBmveXnoqqF2R2WQCqiVes0+0tWKcbAHAqKXuzdeecJOUUlqqNPURzR/dUwxCr2WUBqAKVzX9eP9INAIAn+/mXwxrz3loVlpSrc3Q9zbmzh+rVCTC7LADVjNANAICbLNqUqQfeT1FJuVOXtAzXm/HdFGzlRy9QG/GVDwCAG/wveZ8e/d96OQ1pcHu7/nVrZ1n9fM/+RAA1EqEbAIAq9p/laXrmiy2SpJu6NdGUGzrIz9ejV+kF4GaEbgAAqohhGHr525165budkqS/XBKjJ69te9ZdkgHUfIRuAACqQLnT0NOfbdK8VXslSQ8PbKX7Lm9J4AYgidANAMAFKy4r1/j/rteXGzJksUjPDItTfK9mZpcFwIMQugEAuAD5xWW6d26ylv9yWP6+Fr18c2cN6RhldlkAPAyhGwCA83Qkv1h3zUnS+n0O1Qnw1ez47rokNtzssgB4IEI3AADnYX9OkeLfXq1dhwpUv46/5tx5sTpF1zO7LAAeitANAMA52paZq1H/WaODucWKsgXqvdE91TKirtllAfBghG4AAM7B6l1H9Jf31irvWJlaRtTVe3ddrKh6QWaXBcDDEboBAKikRZsy9UBiikrKnOrWrL7eHtVd9eoEmF0WAC9A6AYAoBLmrdqjf3y6SU5DuqptpGaO6KJAf7Z1B1A5hG4AAM7AMAzN+Han/vXbLpO39IjWs9fHsa07gHNC6AYA4DTKyp166tNNen9NuiTpgSta6m8DWrHLJIBzRugGAOAUCkvKdP+CFH2/LYtdJgFcMEI3AAAnOJxfrNG/bXpj9fPRK7d20aD2drPLAuDFCN0AAPzB7sMFGvXOGu05Uqh6dfz19qju6tYszOyyAHg5QjcAAL9J2Zut0e+u1dGCEkWHBWnOnRerRUM2vQFw4QjdAABIWrLloMa9v07HSp3q0Nimt+/oroiQQLPLAlBDELoBALXeuyt2a9Lnm+U0pH6tGur1kV0VbOVHJICqw3cUAECt5XQamvzVVv17eZok6daLo/XMsDj5swY3gCpG6AYA1ErHSsv1tw9S9fWmTEnSI4Naa2z/FqzBDcAtCN0AgFrnSH6xxry3Vuv25ijA10cv3NRRwzo3NrssADUYoRsAUKukHS7Qne+s0e4jhQoN9NPs27urV/MGZpcFoIYjdAMAao3Vu47onnnJyiksVZP6QZpzZw+1jAgxuywAtQChGwBQK3y8bp8mfLRBpeWGOkfX01u3d1fDEKvZZQGoJQjdAIAazTAMvfztTr3y3U5J0jUd7Jo+vLMC/X1NrgxAbULoBgDUWMdKyzXhow36NPWAJOmv/VvokYGt5ePDCiUAqhehGwBQIx0tKNE9c9cqaXe2/Hwsevb6ON1ycVOzywJQSxG6AQA1zs6Debrr3SSlHy1SSKCfZo3spktiw80uC0AtRugGANQoS7dnadyCFOUVl6lpWB29Paq7YiNZoQSAuQjdAIAa490VuzXp881yGtLFF4XpjfhuCgsOMLssACB0AwC8X2m5U898vkVzV+2RJP25WxM996c4Wf1YoQSAZyB0AwC8mqOwVPe/v04/7Twsi0WaMLiN7rmsuSwWVigB4DkI3QAAr/XroXz95d21SjtcoCB/X824pbMGtbebXRYAnITQDQDwSst2HNL9C9Yp71iZomyBemtUd7WPspldFgCcEqEbAOBVDMPQf37eree+3CKnIXVrVl9v3NaNLd0BeDRCNwDAaxSXleupTzbpv2v3SZJu6tZEz/KGSQBegNANAPAKh/KKNXZ+spJ2Z8vHIj1xTVuNviSGN0wC8AqEbgCAx9uwL0f3zE1WhuOYQqx+enVEF/VvHWF2WQBQaYRuAIBH+yRlvyZ8tEHFZU41bxist27vrhYN65pdFgCcE0I3AMAjlTsNPb9om2b/uEuSdEWbCM24pbNCA/1NrgwAzh2hGwDgcRyFpRqXmKIfdxySJN13eQuNH9Bavj7M3wbgnQjdAACPsj0zT/fMXavdRwoV5O+rF27qqCEdo8wuCwAuCKEbAOAxvtyQoUf+t16FJeVqXC9Is2/vxoY3AGoEQjcAwHTlTkPTvtmmN5cdn7/dt2UDvXprV4UFB5hcGQBUDUI3AMBU2QUleiAxRT/tPCxJuuey5npkUGv5+fqYXBkAVB1CNwDANJsPOHTP3GTtyy5i/jaAGo3QDQAwxUfJ+/TEwo0qLnOqWYM6ejO+m9rYQ80uCwDcgtANAKhWxWXl+ucXWzRv1V5J0uWtG2rGzV1kq8P62wBqLkI3AKDaHMgp0l/nr9P69BxZLFLCla007oqW8mH9bQA1HKEbAFAtfv7lsMa9n6KjBSWyBflrxi2ddXnrCLPLAoBqQegGALiV02lo1rJf9dLi7XIaUvuoUL1xWzdFh9UxuzQAqDaEbgCA2+QUlmj8f9fr+21ZkqSbujXRP6+PU6C/r8mVAUD1InQDANxiw74c/XXeOu3PKVKAn4/+Oay9hnePlsXC/G0AtQ+hGwBQpQzD0LzVe/XPz7eopPz4coCvj+zKdu4AajVCNwCgyhQUl+mJhRv1aeoBSdKg9pF64aZOCg1kOUAAtRuhGwBQJbZl5mrs/HXadahAvj4WPX51G42+JIbpJAAgQjcA4AIZhqEPktL19GebVVzmlD00UK+O6KIeF4WZXRoAeAxCNwDgvBUUl+nJhRv1yW/TSfq1aqiXb+6ssOAAkysDAM9C6AYAnJetGbm6b8H/Tyd5aGAr3XtZC3aXBIBTIHQDAM6JYRh6f026Jn3OdBIAqCxCNwCg0hxFpXri4436cmOGpOPTSaYP76QGda0mVwYAno3QDQColJS92Rr3for2ZRfJz8eiRwa11phLmzOdBAAqgdANADgjp9PQ7J926cVvtqvMaahJ/SC9emsXdWla3+zSAMBrELoBAKd1KK9YD324Xj/uOCRJurZDI025sQOb3QDAOSJ0AwBO6YftWXrkw/U6nF8iq5+PJg5tr1t6RLPZDQCcB0I3AKCC4rJyTf16m975ebckqY09RK/c2kWtIkPMLQwAvBihGwDg8ktWnsa9n6qtGbmSpDv6XKTHrm6jQH9fkysDAO9G6AYAyDAMLVizV//8YouOlToVFhygF2/qqCvaRJpdGgDUCIRuAKjljuQXa8JHG/Xt1oOSpEtjw/XSTZ0UERpocmUAUHMQugGgFvthW5Ye+d8GHc4vVoCvjx4Z1FqjL4lh7W0AqGKEbgCohYpKyjX5q62au2qPJKlVZF3NuLmL2kWFmlwZANRMhG4AqGU27XfowcQU/XqoQJJ0Z9+LNGEwb5YEAHcidANALVFW7tSspb/qX9/tVJnTUESIVS/e1EmXtWpodmkAUOMRugGgFkg7XKDx/01Vyt4cSdLg9nZNvqGDwoIDzC0MAGoJH7MLOJMpU6aoR48eCgkJUUREhK6//npt3769QhvDMDRx4kRFRUUpKChI/fv31+bNmyu0KS4u1rhx4xQeHq7g4GANHTpU+/btq9AmOztb8fHxstlsstlsio+PV05OjrtvEQDcyjAMzV25W9f86yel7M1RSKCfXr65k2bd1pXADQDVyKND97Jly3Tfffdp1apVWrJkicrKyjRw4EAVFBS42kybNk3Tp0/XzJkzlZSUJLvdrgEDBigvL8/VJiEhQQsXLlRiYqKWL1+u/Px8DRkyROXl5a42I0aMUGpqqhYtWqRFixYpNTVV8fHx1Xq/AFCVMh3HNOqdJD316WYVlZarb8sG+ibhMv2pSxO2cgeAamYxDMMwu4jKOnTokCIiIrRs2TJddtllMgxDUVFRSkhI0IQJEyQdH9WOjIzU888/r3vuuUcOh0MNGzbU3LlzdfPNN0uSDhw4oOjoaH311VcaNGiQtm7dqnbt2mnVqlXq2bOnJGnVqlXq3bu3tm3bptatW1eqvtzcXNlsNjkcDoWGsgIAAHMYhqGFKfs18bPNyj1WJqufjx67uo1G9b6IpQABoIpVNv959Ej3iRwOhyQpLCxMkpSWlqbMzEwNHDjQ1cZqtapfv35asWKFJCk5OVmlpaUV2kRFRSkuLs7VZuXKlbLZbK7ALUm9evWSzWZztTmV4uJi5ebmVngAgJkO5RXr7rnJGv/f9co9VqZOTWz68oFLdWdf1t4GADN5zRspDcPQ+PHjdckllyguLk6SlJmZKUmKjKy4TXFkZKT27NnjahMQEKD69euf1Ob352dmZioiIuKk14yIiHC1OZUpU6Zo0qRJ539TAFCFPl9/QP/4dJOyC0vl72tRwlWtdM9lzeXn61XjKwBQI3lN6L7//vu1YcMGLV++/KRzJ85NNAzjrPMVT2xzqvZnu87jjz+u8ePHuz7Ozc1VdHT0GV8XAKrakfxi/ePTzfpyY4YkqX1UqF4a3klt7ExzAwBP4RWhe9y4cfrss8/0448/qkmTJq7jdrtd0vGR6kaNGrmOZ2VluUa/7Xa7SkpKlJ2dXWG0OysrS3369HG1OXjw4Emve+jQoZNG0f/IarXKarVe2M0BwHkyDENfbszQ059u1pGCEvn5WHTf5S11/xUt5c/oNgB4FI/+rmwYhu6//359/PHH+v777xUTE1PhfExMjOx2u5YsWeI6VlJSomXLlrkCdbdu3eTv71+hTUZGhjZt2uRq07t3bzkcDq1Zs8bVZvXq1XI4HK42AOBJsvKO6d55ybp/QYqOFJSojT1En9zXV38b0IrADQAeyKNHuu+77z4tWLBAn376qUJCQlzzq202m4KCgmSxWJSQkKDJkycrNjZWsbGxmjx5surUqaMRI0a42o4ePVoPPfSQGjRooLCwMD388MPq0KGDrrrqKklS27ZtNXjwYI0ZM0ZvvvmmJOnuu+/WkCFDKr1yCQBUB8Mw9Enqfk36fItyCktdo9v3Xd5SAX6EbQDwVB4dumfNmiVJ6t+/f4Xj77zzju644w5J0qOPPqqioiKNHTtW2dnZ6tmzpxYvXqyQkBBX+5dffll+fn4aPny4ioqKdOWVV2rOnDny9fV1tZk/f74eeOAB1yonQ4cO1cyZM917gwBwDjIdx/Tkwo36bluWpONzt1/4cye1i2LuNgB4Oq9ap9vTsU43AHdwOg29n7RXU7/aprziMgX4+ujBq2J192XNmUoCACarbP7z6JFuAKjtdh3K12Mfb9SatKOSpM7R9TTtzx3VKjLkLM8EAHgSQjcAeKDScqdm/7hL//pup0rKnKoT4KtHBrXW7b0vki+b3ACA1yF0A4CH2bAvR499tFFbMo7vcntZq4Z67vo4RYfVMbkyAMD5InQDgIfILy7TS4u3690Vu+U0pHp1/PWPIe30py6Nz7rhFwDAsxG6AcADLN6cqac/26wMxzFJ0rDOUXpqSDuF12UDLgCoCQjdAGCiTMcxPf3ZJn2z+fiuuNFhQXr2+g7q16qhyZUBAKoSoRsATFBW7tTcVXv00uIdyi8uk6+PRWMuba4Hr4xVUIDv2S8AAPAqhG4AqGap6Tl6cuFGbT5w/I2SnaPracoNHdS2Eev7A0BNRegGgGriKCzVtG+2acGavTIMKTTQT48ObqNbL27KMoAAUMMRugHAzQzD0MKU/Zr81VYdzi+RJN3QpbEev6atGobwRkkAqA0I3QDgRtsyc/WPTzZrze7jO0q2jKirfw6LU+8WDUyuDABQnQjdAOAGucdK9fKSHXpv5R6VOw0F+vto3BWxGnNpcwX4+ZhdHgCgmhG6AaAKGYahj9ft15Svt+lwfrEk6eo4u/4+pJ0a1wsyuToAgFkI3QBQRTbtd2jS55uVtDtbktQ8PFgTh7bXZay5DQC1HqEbAC7Qkfxivbh4hxKTjq9KEuTvq3FXttToS2Jk9WPNbQAAoRsAzltpuVPzVu3Ry0t2KPdYmSRpaKcoPXZ1G0UxlQQA8AeEbgA4D8t3HtakzzdrZ1a+JKldo1BNHNpeF8eEmVwZAMATEboB4Bz8eihfk7/cqu+2ZUmSwoID9PDA1rq5RzQb3AAATovQDQCVkFNYon99t1NzV+5RmdOQn49F8b2bKeHKVrLV8Te7PACAhyN0A8AZlJY7NX/VHs34bqdyCkslSVe2idAT17ZVi4Z1Ta4OAOAtCN0AcAqGYWjJloOaumibdh0qkCS1jgzR34e01aWxLAEIADg3hG4AOMH69Bw999VWrUk7vnV7WHCAxg9opVt6RMvPl90kAQDnjtANAL9JP1qoFxdv16epByRJVj8fjb4kRvf2b6HQQOZtAwDOH6EbQK2XU1ii15f+qjk/71ZJuVMWi/SnLo318MDWrLcNAKgShG4AtVZRSbneWZGmWUt/Vd5vm9v0adFAT1zTVnGNbSZXBwCoSQjdAGqdsnKnPkzepxnf7tDB3GJJUht7iCZc3Ub9WzWUxcJ62wCAqkXoBlBrGIahRZsy9cLi7a4VSRrXC9LDg1ppWKfG8mFzGwCAmxC6AdR4hmHox52H9eI327Vxv0OSVL+Ov+6/Ila39Woqq5+vyRUCAGo6QjeAGi1p91G98M121/J/wQG+Gn1JjP5yWXNWJAEAVBtCN4AaaeM+h15asl1Ltx+SJAX4+ej2Xs301/4t1KCu1eTqAAC1DaEbQI2y+YBDM77dqSVbDkqS/HwsGt4jWuOuaKlGNpb/AwCYg9ANoEbYnpmnGd/u0NebMiVJPhbp+s6N9cCVsbooPNjk6gAAtR2hG4BX23EwT698t1NfbsyQYUgWi3Rdxyg9cGWsWkbUNbs8AAAkEboBeKktB3I184ed+mpjpuvYtR0a6cGrYtUqMsTEygAAOBmhG4BX2bTfoVe+26nFv83ZlqRrOtg17opYtW0UamJlAACcHqEbgFdI3pOt1374Rd9vy5J0fBrJkI5Ruv/ylmptZ2QbAODZCN0APJZhGPr5lyN67YdftHLXEUnH3yA5rHNj3Xd5S+ZsAwC8BqEbgMdxOg19u/WgXlv6q9an50iS/H0tuqFLE93bv4ViWI0EAOBlCN0APEZJmVOfrT+g2T/+qh0H8yVJgf4+uqVHU919WXNF1WOdbQCAdyJ0AzBdfnGZEtfs1dvL05ThOCZJCrH66fY+zXRn3xiFs4MkAMDLEboBmCYr75jm/Lxbc1ftUd6xMklSwxCr7uobo5G9mio00N/kCgEAqBqEbgDVbntmnv790y59mnpAJeVOSVLzhsG657Lmur5LY1n9fE2uEACAqkXoBlAtDMPQTzsP662fdumnnYddx7s2rad7+rXQgLaR8vGxmFghAADuQ+gG4FbHSsv1WeoBvb08TdsP5kk6vuzf1XGNdNclMerWrL7JFQIA4H6EbgBukeEo0tyVe/T+mr3KLiyVJAUH+OrmHk11Z9+LFB1Wx+QKAQCoPoRuAFXGMAyt25ut//y8W4s2ZarcaUiSGtcL0qg+zXRzj6ayBfHmSABA7UPoBnDBikrK9fn6A3pv1W5t2p/rOt4zJkx39o3RgHaR8mW+NgCgFiN0Azhvuw8XaN6qPfoweZ8cRcenkAT4+ej6zlG6o0+M2kWFmlwhAACegdAN4JyUlTv1/bYszV+9V8t2HHIdjw4L0m09m+mm7tEKCw4wsUIAADwPoRtApezPKdIHa/bqg7XpOphbLEmyWKT+rRoqvncz9WsVwRQSAABOg9AN4LTKyp1auv2QFqzZq6Xbs/Tb+yLVIDhAf+7WRCN6NlWzBsHmFgkAgBcgdAM4SdrhAv13bbo+St6nrLxi1/HezRtoRM+mGtg+kl0jAQA4B4RuAJKOr0Dy1cYMfbA2XWvSjrqOhwUH6MaujXXrxU3VvGFdEysEAMB7EbqBWswwDK3dk62Pkvfpyw0Zyisuk3R8x8jLWjXU8O7RuqptpAL8fEyuFAAA70boBmqh9KOF+njdfn2csk97jhS6jkeHBWl4t2j9uXsTNbIFmVghAAA1C6EbqCUcRaX6emOGFqbs1+o/TB+pE+Crazo00o1dm6hnTJh8WIEEAIAqR+gGarBjpeX6YVuWPkndrx+2HVJJuVPS8aX++rRooBu7NtHgOLvqBPCtAAAAd+InLVDDlJU7tXLXEX2+/oC+3pSpvGNlrnOtI0M0rEuUhnVurMb1mD4CAEB1IXQDNUC509CatKP6YsMBLdqUqSMFJa5zjWyBGto5Std3bqy2jdiWHQAAMxC6AS9V7jS0dvdRfb0pU19tzKiwnnZYcIAGx9l1Xcco5mkDAOABCN2AFyktd2r1rqP6alOGFm/O1OH8/x/RDg3006D2dl3XKUq9WzSQvy/L/AEA4CkI3YCHKyop1087D2nJloNasvWgcgpLXedCA/00oJ1d13Sw69LYhqynDQCAhyJ0Ax7oSH6xvtuWpSVbDuqnnYd0rNTpOtcgOEAD20dqcFwj9W7egKANAIAXIHQDHsAwDO04mK/vth3UD9uylLwnW07j/883rhekge0jNaBdpC6+KEx+TB0BAMCrELoBkxwrLdfKXUf0w7Ysfbc1S/tziiqcb9co1BW02zUKlcXCmyEBAPBWhG6gmhiGoV8P5WvZjsNatuOQVu86ouKy/582YvXzUZ8WDXRFmwhd3iZCTerXMbFaAABQlQjdgBtlF5Roxa9HtPyXw/pxx6GTRrMb2QJ1eZsIXdkmQn1ahCsowNekSgEAgDsRuoEqdKy0XEm7j2r5L4f18y+HtflArow/zM0O8PVRz+Zh6teqofq1aqiWEXWZNgIAQC1A6AYuwLHScqXszdGqXUe0atcRpezNUUm5s0KbVpF11adFuPq1aqiezcNUJ4AvOwAAaht++gPnoKC4TOv2Zitpd7ZW7zqilPQclZRVDNn20ED1bRmuS2IbqG+LcEWEBppULQAA8BSEbuAMsnKPae2ebCXtPqq1u7O1JSNX5X9cy09SRIhVvZo3UK/mDdSzeZiahwczZQQAAFRA6AZ+U1xWri0HcpWyN0fr9mYrZW/OSW98lI6vmd3jovrqEROm3s0bKIaQDQAAzoLQjVqp3Hl8+b4N+xzauC9H6/c5tOVA7knzsS0WqXVkiC6OCVP3i8LUvVl9RdULMqlqAADgrQjdqPFKy536JStfmw/kasuBXG3a79CmAw4VlpSf1DYsOEBdm9ZTl6b11SW6njpG11NdK18mAADgwpAmUKMczi/Wjsw8bcvM07bMXG0+kKudB/NPGsGWpDoBvoprbFPHxjZ1jK6njo1tatagDlNFAABAlSN0wysdyS/WL1n5+uVQvn7Jytf2zDztOJinw/klp2wfEuindo1C1S4qVO2jbOrUxKbmDevK14eADQAA3I/QDY91rLRce44UKu1wgfYcKVDa4QL9kpWvXw/lK7uw9JTPsVikpmF11DoyRK3tIWr/W8huUj+IEWwAAGAaQjdMYxiGDuUVKz27SPuyC5V+tFDpR4uUnl2o3YcLlJF7rMJujn9ksRxfRaRlRF21bFhXrewhah0ZotjIumw+AwAAPA7p5ASvv/66XnjhBWVkZKh9+/aaMWOGLr30UrPL8jrlTkNHCoqVlVusQ3nFynAcU4ajSAdyjulATpEyHEXKcBxTcdnJc63/KCTQTzHhwbqoQbAuCg9Wi4bBahlRV83D6yoowLea7gYAAODCELr/4IMPPlBCQoJef/119e3bV2+++aauvvpqbdmyRU2bNjW7PFOVOw3lFpUqp6hUjqJSZReW6Eh+iY4WFOtIwe//LtGhvGJl5R3T4fySkzaRORUfi9TIFqQm9YMUHVZH0fXrKDosSM0aBCsmPFj16/gzLQQAAHg9i2Gc7g/4tU/Pnj3VtWtXzZo1y3Wsbdu2uv766zVlypSzPj83N1c2m00Oh0OhoaHuLFWSVFhSpkN5xXIaktMwZBiG69/lTkNl5YZKy50qdf3XqZIyp46VletYqVNFJeUqKi3XsdJyFZWUK7+4zPUoKC5TfnG58o6VylFYqrzisnOuz2KRGgRbFRFiVSNboBrVC1QjW5Cifv+vLUh2W6AC/Hzc8NkBAABwv8rmP0a6f1NSUqLk5GQ99thjFY4PHDhQK1asOOVziouLVVxc7Po4NzfXrTWeaMUvR/SX99ZW62vWtfrJFuSvenX81aCuVQ2CAxT226NBcIDC61oVGRqoiNDj5/x8CdQAAACE7t8cPnxY5eXlioyMrHA8MjJSmZmZp3zOlClTNGnSpOoo75T8fC2qa/WTxSL5WCzysUiWP/w3wNdH/r4W+fn6yN/XRwG+Fvn7+igowFdWP18FBfgqyN9Hgf6+CvL3VV2rn4Ktfqob6KeQP/y7XpC/bEH+Cg3ylz8hGgAA4JwRuk9w4vxhwzBOO6f48ccf1/jx410f5+bmKjo62q31/VH/1hHaNGlQtb0eAAAAzg+h+zfh4eHy9fU9aVQ7KyvrpNHv31mtVlmt1uooDwAAAF6MuQK/CQgIULdu3bRkyZIKx5csWaI+ffqYVBUAAABqAka6/2D8+PGKj49X9+7d1bt3b82ePVt79+7Vvffea3ZpAAAA8GKE7j+4+eabdeTIET3zzDPKyMhQXFycvvrqKzVr1szs0gAAAODFWKe7ClX3Ot0AAAAwV2XzH3O6AQAAADcjdAMAAABuRugGAAAA3IzQDQAAALgZoRsAAABwM0I3AAAA4GaEbgAAAMDNCN0AAACAmxG6AQAAADcjdAMAAABuRugGAAAA3IzQDQAAALgZoRsAAABwM0I3AAAA4GZ+ZhdQkxiGIUnKzc01uRIAAABUh99z3+858HQI3VUoLy9PkhQdHW1yJQAAAKhOeXl5stlspz1vMc4Wy1FpTqdTBw4cUEhIiCwWS7W8Zm5urqKjo5Wenq7Q0NBqeU24F31aM9GvNQ99WjPRrzWPu/vUMAzl5eUpKipKPj6nn7nNSHcV8vHxUZMmTUx57dDQUL451DD0ac1Ev9Y89GnNRL/WPO7s0zONcP+ON1ICAAAAbkboBgAAANyM0O3lrFarnn76aVmtVrNLQRWhT2sm+rXmoU9rJvq15vGUPuWNlAAAAICbMdINAAAAuBmhGwAAAHAzQjcAAADgZoRuAAAAwM0I3V7s9ddfV0xMjAIDA9WtWzf99NNPZpeESpoyZYp69OihkJAQRURE6Prrr9f27dsrtDEMQxMnTlRUVJSCgoLUv39/bd682aSKcT6mTJkii8WihIQE1zH61fvs379ft912mxo0aKA6deqoc+fOSk5Odp2nT71PWVmZ/v73vysmJkZBQUFq3ry5nnnmGTmdTlcb+tXz/fjjj7ruuusUFRUli8WiTz75pML5yvRhcXGxxo0bp/DwcAUHB2vo0KHat2+fW+oldHupDz74QAkJCXryySeVkpKiSy+9VFdffbX27t1rdmmohGXLlum+++7TqlWrtGTJEpWVlWngwIEqKChwtZk2bZqmT5+umTNnKikpSXa7XQMGDFBeXp6JlaOykpKSNHv2bHXs2LHCcfrVu2RnZ6tv377y9/fX119/rS1btuill15SvXr1XG3oU+/z/PPP64033tDMmTO1detWTZs2TS+88IJeffVVVxv61fMVFBSoU6dOmjlz5inPV6YPExIStHDhQiUmJmr58uXKz8/XkCFDVF5eXvUFG/BKF198sXHvvfdWONamTRvjscceM6kiXIisrCxDkrFs2TLDMAzD6XQadrvdmDp1qqvNsWPHDJvNZrzxxhtmlYlKysvLM2JjY40lS5YY/fr1Mx588EHDMOhXbzRhwgTjkksuOe15+tQ7XXvttcZdd91V4dgNN9xg3HbbbYZh0K/eSJKxcOFC18eV6cOcnBzD39/fSExMdLXZv3+/4ePjYyxatKjKa2Sk2wuVlJQoOTlZAwcOrHB84MCBWrFihUlV4UI4HA5JUlhYmCQpLS1NmZmZFfrYarWqX79+9LEXuO+++3TttdfqqquuqnCcfvU+n332mbp3766bbrpJERER6tKli9566y3XefrUO11yySX67rvvtGPHDknS+vXrtXz5cl1zzTWS6NeaoDJ9mJycrNLS0gptoqKiFBcX55Z+9qvyK8LtDh8+rPLyckVGRlY4HhkZqczMTJOqwvkyDEPjx4/XJZdcori4OEly9eOp+njPnj3VXiMqLzExUevWrVNSUtJJ5+hX77Nr1y7NmjVL48eP1xNPPKE1a9bogQcekNVq1e23306feqkJEybI4XCoTZs28vX1VXl5uZ577jndeuutkvharQkq04eZmZkKCAhQ/fr1T2rjjjxF6PZiFoulwseGYZx0DJ7v/vvv14YNG7R8+fKTztHH3iU9PV0PPvigFi9erMDAwNO2o1+9h9PpVPfu3TV58mRJUpcuXbR582bNmjVLt99+u6sdfepdPvjgA82bN08LFixQ+/btlZqaqoSEBEVFRWnUqFGudvSr9zufPnRXPzO9xAuFh4fL19f3pN/CsrKyTvqNDp5t3Lhx+uyzz/TDDz+oSZMmruN2u12S6GMvk5ycrKysLHXr1k1+fn7y8/PTsmXL9Morr8jPz8/Vd/Sr92jUqJHatWtX4Vjbtm1db1rna9U7PfLII3rsscd0yy23qEOHDoqPj9ff/vY3TZkyRRL9WhNUpg/tdrtKSkqUnZ192jZVidDthQICAtStWzctWbKkwvElS5aoT58+JlWFc2EYhu6//359/PHH+v777xUTE1PhfExMjOx2e4U+Likp0bJly+hjD3bllVdq48aNSk1NdT26d++ukSNHKjU1Vc2bN6dfvUzfvn1PWs5zx44datasmSS+Vr1VYWGhfHwqRiBfX1/XkoH0q/erTB9269ZN/v7+FdpkZGRo06ZN7unnKn9rJqpFYmKi4e/vb7z99tvGli1bjISEBCM4ONjYvXu32aWhEv76178aNpvNWLp0qZGRkeF6FBYWutpMnTrVsNlsxscff2xs3LjRuPXWW41GjRoZubm5JlaOc/XH1UsMg371NmvWrDH8/PyM5557zti5c6cxf/58o06dOsa8efNcbehT7zNq1CijcePGxhdffGGkpaUZH3/8sREeHm48+uijrjb0q+fLy8szUlJSjJSUFEOSMX36dCMlJcXYs2ePYRiV68N7773XaNKkifHtt98a69atM6644gqjU6dORllZWZXXS+j2Yq+99prRrFkzIyAgwOjatatruTl4PkmnfLzzzjuuNk6n03j66acNu91uWK1W47LLLjM2btxoXtE4LyeGbvrV+3z++edGXFycYbVajTZt2hizZ8+ucJ4+9T65ubnGgw8+aDRt2tQIDAw0mjdvbjz55JNGcXGxqw396vl++OGHU/4sHTVqlGEYlevDoqIi4/777zfCwsKMoKAgY8iQIcbevXvdUq/FMAyj6sfPAQAAAPyOOd0AAACAmxG6AQAAADcjdAMAAABuRugGAAAA3IzQDQAAALgZoRsAAABwM0I3AAAA4GaEbgAAAMDNCN0AAACAmxG6AQAAADcjdAMAzsuhQ4dkt9s1efJk17HVq1crICBAixcvNrEyAPA8FsMwDLOLAAB4p6+++krXX3+9VqxYoTZt2qhLly669tprNWPGDLNLAwCPQugGAFyQ++67T99++6169Oih9evXKykpSYGBgWaXBQAehdANALggRUVFiouLU3p6utauXauOHTuaXRIAeBzmdAMALsiuXbt04MABOZ1O7dmzx+xyAMAjMdINADhvJSUluvjii9W5c2e1adNG06dP18aNGxUZGWl2aQDgUQjdAIDz9sgjj+h///uf1q9fr7p16+ryyy9XSEiIvvjiC7NLAwCPwvQSAMB5Wbp0qWbMmKG5c+cqNDRUPj4+mjt3rpYvX65Zs2aZXR4AeBRGugEAAAA3Y6QbAAAAcDNCNwAAAOBmhG4AAADAzQjdAAAAgJsRugEAAAA3I3QDAAAAbkboBgAAANyM0A0AAAC4GaEbAAAAcDNCNwAAAOBmhG4AAADAzQjdAAAAgJv9H8c/Z3udy6auAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax1.plot(x,z)\n",
    "ax1.set_xlabel('x')\n",
    "ax1.set_ylabel('z')\n",
    "ax2.plot(x,y)\n",
    "ax2.set_xlabel('x')\n",
    "ax2.set_ylabel('y')\n",
    "ax2.set_xlim([20,22])\n",
    "ax2.set_ylim([30,50])\n",
    "fig1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 4\n",
    "\n",
    "** Use plt.subplots(nrows=1, ncols=2) to create the plot below.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Now plot (x,y) and (x,z) on the axes. Play around with the linewidth and style**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes[0].plot(x,y,linestyle='--',color='blue')\n",
    "axes[1].plot(x,z,linestyle='-',color='red')\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** See if you can resize the plot by adding the figsize() argument in plt.subplots() are copying and pasting your previous code.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x200 with 2 Axes>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12,2))\n",
    "axes[0].plot(x,y,linestyle='-',color='blue')\n",
    "axes[1].plot(x,z,linestyle='--',color='red')\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Great Job!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}