ch02-figures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 2: Figures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Robert Johansson\n",
    "\n",
    "Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format='retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def show_array(shape, sel, filename=None):\n",
    "    \"\"\"Visualize indexing of arrays\"\"\"\n",
    "\n",
    "    data = np.zeros(shape)\n",
    "    exec(\"data[%s] = 1\" % sel)\n",
    "\n",
    "    fig, ax = plt.subplots(1, 1, figsize=shape)\n",
    "\n",
    "    ax.patch.set_facecolor('black')\n",
    "    ax.set_aspect('equal', 'box')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "\n",
    "    size = 0.97\n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        color = '#1199ff' if w > 0 else '#eeeeee'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        ax.text(m, n, \"(%d, %d)\" % (n, m), ha='center', va='center', fontsize=12)\n",
    "        \n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 3.5)\n",
    "    ax.set_ylim(-.5, 3.5)\n",
    "    ax.invert_yaxis()\n",
    "    \n",
    "    if sel == \":, :\":\n",
    "        ax.set_title(\"data\\n\", fontsize=12)\n",
    "    else:\n",
    "        ax.set_title(\"data[%s]\\n\" % sel, fontsize=12)\n",
    "    \n",
    "    fig.tight_layout()\n",
    "    \n",
    "    if filename:\n",
    "        fig.savefig(filename + \".png\", dpi=200)\n",
    "        fig.savefig(filename + \".svg\")\n",
    "        fig.savefig(filename + \".pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \":, :\", \"array_indexing_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NkqTatWsrJiZoQwMAAMBQTqdTP//8sySpdevWSkhIOO8xg9ZSN2/erE6dOgVrOAAAAMDL2rVrdeWVV573OCyBAAAAgFGCVoBr164drKEAAACAswSrbwZtCYTnmt8qD/yfYtKuCNbQwHkpyTmoExPdH5dU+/M6RSVfXMEzAsglKidyicrImfmtcl++UZKCdo1ZSK5Ui6pWR1E100IxNHBeopIvJpuodMglKiNyicoi6nhW8McM+ogAAABAJUYBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAJeW994COjnbo6INVVHI8q6KnU+kUrJzu/vsZ7ZBz1+qKno4xyKV/5LLikE3/yGbFIJf+kUtvMRU9gYrmzExXwZfTJUkJvf6oqOp1A57jchaq8JsPVLjuPZUc2KqSnENyJNVU1EWXKK5dP8X9ZqSiql4U6qnb4vxhnQq/mqWinStUcnS/JJeiaqYptlkPxf1mlGIaXxlwjLhuv1f+0n+o5NBO5b3/oKr9+Rs5onjtFEqRmsuSYwfk/GGdin9YJ+e+b1S8b51cuUesP09+Zq+iL2psayxyWTEiMZuuglwV7Vgu53dLVfzjBhUf2ilX3hEpKkZRVS9SdIN2im3VR3Gdh8oRXyXgeGQz/CItl67iIhVnpqt43zfufzOztsl18me5Th6WqyBXjoRkRdVqrJhLOin2yjsU2/SqgGOSS2/GF+BTnzwmlRRL8VUVf+0jAY8vPvidcmcOVnHGRq+vu3IOqjjnoE7t+a/yv3heVUbMUmzrG0I17YBczkKd+uQxFSx/SXK5vP6sJGu7CrK2q+DL6Yq/5g9KHPC8HNGxPsdyRMcooc+flffWSBVnbFTh2tmK7zIs1D+C0SIxl8fG1pMriO/KkMuKEWnZzH1jqAo3zZUK88r400KVHPlRJUd+VNG383Rq3l+VNOQ1xbXv53dMshl+kZbLok3zlDtjoM8/d+Vmqzg3W8U/rlfBymmKad5LVUa8qaiUhj7PIZfezK3+kpy7Vsm57QtJUny3uxVVpabf40uOZurEP3qd/oVxOBTTrLviut6l2DZ9pdhESZLrxE86Oe0WFW1fGtL5+5P3zt0qWPZPq/xG1b5UcZ2GKK7TYEVddIn7IJdLBcumKm/2vQHHi+s0WI6aDSRJ+f/3lFzFzpDN3XSRmstglt9S5DK8IjGbhRs+9iq/jqSaimlxveJ+M0pxvx6p6Es6Sw6He54nDyv3tf4qWDk94LhkM3wiMZdeYhMU3bCDYtsPUFy3uxXX7feKbf07OTzenXZ+t1Q5z3VTyZEMv0ORy9OMfgc4//9Ncm84HIrvMSbg8blvDJHr2AFJUlStRqoy5jPFpLWx/rzk5GHlvn67nN8tlYqLlPv6bUr++25FJdUIxfR9Klj9pgrX/Mu944hS4oAXFN/zD9ZHHa6SEhUsm6pTHz8quUpUuPpNxTTtrvhfD/c5piM6VvFX3aP8z/6mkp93q2jDx4q78vZw/DjGidRcSnL/Q57WVjGNr1R04ysVlZyqk1OvP+fhyGV4RWw245IUd+Udiu96p6Iv6XLWx8LF+7cod9YwFWdskiTlvf+AYi7rquj6rX0OSTbDJxJzGVW9rhJ+9zfFtrpB0Y06lPkpravYqcKvZinvgz9IRflyHc1Q3pwxqvrAfJ/jksvTjH0HuPjQThVtWShJimnaXdF1LvN7fNHmhXJ+/6V7JyZOVe+f7/ULI0lRVS9S1THzFHVRE0mSK/eIChY9F/zJ++EqKtCp+f9j7SdcP1YJvR/2+gfdERWlhN5/VPx1j1lfy58/Xi5nod+x438zSnK4x8lfOjW4E4ekyM2lJFX7ywbVmHpCyeP+q6Tb/6n4LsMUVafZeY9LLsMjUrMZf82Dqv7MHlUZPlMxl/6mzDWR0fVbqeoflymqViP3F0qKderziYHHJpshF6m5jLmsqxJveloxTbr4XKLoiI5R/FV3K+mOV62vFW1ZoJKjmX7HJpduxhbgwq9mWcsD4joOCnh8/opXrO24LiN8vvJ3xFdRwk1PW/sF/3ktrB8xFKV/JtdR90cgjsTqSvjd33wem3jjeDkSq0uSSrL3qWjzAr9jR9Wsr5hLu0qSiveuUXHW9iDNGqUiNZeSFNOwnRzRwf/QiVyGR6RmM2nA84pKTg14XFSVmkq4/nFrv2jzwsDnkM2Qi9Rclkdc5yFSbIJ7x+WS85dPKnwhl27mFuC1c6zt2LY3+z3WlX/S/VHIL+J/M8rv8XHtB0gJ1dzn5h45/WozDIo2fWptx3YcJEdcks9jHXFJiu1wm8e5cwOOH9vuVmu78Ot3z22S8ClScxlq5DL0yKYU/UtpkCTl56jE4w4mvpDN0CKXkiMmTo7EGqe/kH8i4Dnk0tAC7MxMV8mRHyVJUXUvD3i7FOeeryRngXsnvoqiA9w6zBEbr5hLupw+/7tl5zfhcijasdzajm3WI+Dxsb86fUyRjXnG/Oqa08dv/r9yzQ3+RXIuQ41chhbZdHP8cjGcpaQ44DlkM3TIpVvJyWy5Tv5s7VtLdfwgl6YW4O2Lre2YS7sFPN7z44Hoeq1tfYwb3bD96fMPhufjBdep415X2nvOwRfPY1zH9st1Ksf/8WlXSAnJkqTizHSVHD94jrPFmSI1l+FALkOLbLoV7998eic20esqfF/IZuiQS8nlcp2+BZwkR80Gim7cKeB55NLUArz3a2s7+ozF72UpObTD2rbzykqS1734ig9+V47Znbvigzu89v3dD9DXMcWHdvg40s3hcCi6fitr3/nD2nLMEP5Eai7DgVyGFtl0K/jqLWs7tnnPs98RLgPZDB1Tc+kqdqrk2AEVbvi3Tr54jXsdtCRFxSjpjldsFXtyaWgBLs5Mt7ajL24e8PiSk9nWtp2LJdzHXWxtu2ysEwsGV+7peSohWY64xIDnOOKSrDVO7jECzzX64sut7eIAi+1hX6TmMlzIZeiQTalo8wKvdxzje9xv+1yyGRom5fL4Xy+zHmN8bEysjj9eX7mv9Zdz50pJkiP5YlV9+AvFXdHX9pim59K4+wC7XC6VHNln7UfVTAt8TsHJ0zuxgUulJK/y6XV+CHl+Hzvl1zo2NlGuXxbN25lrVI361nbJ4b3lmCF8ieRchgu5DA2yKZUcz1LuO3db+zGXX6vYVn1sn082g49cnhbX9U4l3TZVjoSq5TrP9FyaV4BPHZeK8q19R5VagU/yPD4mzt43ion3OP+U3emdF5fHPBVtc56S11xdhYHn6rnurSTHvHVDoRDJuQwXchkapmfT5SzUydcGWNdXOKqkqMqIWeUag2wGn2m5jOs8zLrQzVWUr5LjB1S892u5co+ocPWbKtryuRJvneT3gVZnMj2XxhVgFeR67TrsvAosvb+eFPBhEZbSK00l2680z5fDY54qtjlPyWuu9pZNeBxzxt8nzlEE5zJcyGWIGJxNl8ul3LdGqHj3V+4vRMeqyl1zFFWzvv8Tz0A2Q8CwXCb2ffKsr7mchSpc845OffyIXMezlPfWCJUc2adEP/f/92R6Lo1cA+zFzkUM8R4fK9h8Bej5TqrX+SHk+X3svJNrHVtUzrn+ctNxhFAE5TJsyGV4GJTNU+89oKJ177t3HFGqMvJtxbY8h0d3k83QMyiXpRwxcYrvdpeqPvSF9MvT4vLnPynnrtX2BjA8l+YV4PgqXruuwryAp0RVPf3RSknOIVvfxvPjBEeVFJuTOz9eHwHl53gvifDBVZjnddNsO3P1GveMv0+cowjOZbiQyxAxNJun5v5ZBStPP2I26Y5XFNfpjnMai2yGgKG5LEvMJZ0U1+WXpQ8ul/KX/sPWeabn0rgC7Eis7v0xyMnDAc+JSv2VtV2Svc/PkaeV3pxbsnd1ajBEX/wrr307c/WcpyRFp/7Kx5Gned1wO8CNx2FPJOcyXMhlaJiYzVMLn1H+//tfaz/x1kmK737vOY9HNoPPxFz6E3v5tda23XeATc+leQXY4VBUyun7/5UczQx4TnRdj1uFHNhs63ngxT9uOH2+x61GQsmRWF0OjxAXZ2wMeI7nPB016suRmBzwnJJj+63tqFqNyzdJlCmScxku5DI0TMtm/pIpyp/3V2s/4Ya/KuG3j5/XmGQz+EzLZSCOKjWtba9bovphei6NK8DSL09A+UWgBz9IUkyT35y+ErQgV8X7vvF7vKuoQM69a06f37znuU30HMR6Pt5w54qAxxf9cg9ByX1jdzs8bwYe3aCt7bnBv0jOZTiQy9AxJZsFX87QqY/+aO3H93xIiTdPOO9xyWZomJJLO0o8ngJrd6mG6bk0sgDHXHL6MYHFmd8GPN6RUFUxzXtZ+wX/fcvv8UUb/22tq3Uk1VRM06vPbaLnILbtLafn8c0Hfi+GcxWeUtH6D0+fe8UtPo+1znG5VLx/i7UfY+ORi7AnknMZauQytEzIZsGad5U35z5rP67rXUq8zd5aSn/IZuiYkEu7itL/z9q28041uTS1AHutlVll65yEHmOs7cKvZqn4wNYyj3MV5unU/PHWfvzVo209ljBYYtvcJMcvNwR35R1T/sJnfB6bv2CCXHnHJLkfCxnb5saA4xdnfivl50hyP3oyqvrFAc6AXZGcy1Ajl6EV6dks3PBv5b09UnKVSJJir7xDSUNn2HrUcSBkM3QiNZeuYqf7Psc2FW1eqKKNn1j7se37BzyHXJpagNPaWM/3Ljn4nddHB77Etv6dYi67yr3jLNTJl29U8f7NXseUnMzWyVdvUclPuyS5P4aIv97/2rHjf25sPd7w1Pz/Kf8PcwZHbLwS+z5l7ecvmqT8ZS/J5XG7E1dJifKXTlX+ometryX0fdrWjcGdO5Zb27GtAxdm2BfJuQw1chlakZzNoi3/T7lv3CGVFLvnfcXNqjLqX3JEBec/j2QzdCI1l66Ckzr+50t06rPxKj7oe2lHSe5RnVrwd52c3s+6pVlUncsU3+1un+eUIpcmPgjjF3GdhlhX+RZt+lTx3e8LcIZU5fdzlPO/neQ6nqWS7B+UM6GtYpp1V9RFTeQ6+bOKti+RSm/FEhWjKnd/qKikGiH8KcoW3/VOOXeuUOGad6SSYp364A8qWP5PxVzSRXK55NzzX5Uc3mMdH/ebUbafHlO0ce7p8zoNCfrcTRfJuSxYOV0FX073+prrjAe2nHz5BjnOeIph/NX3BrwCn1yGXiRms+TkYZ18rb9U+lCEqGg5qtXWqQ8ftnV+fM+HFJ3a1O8xZDO0IjGXkuTKO6r8BROUv2CCHDXqKbp+G0VVqyPFJUkFJ1X80y4VZ2w4nV1JjuSLVXXMZ3LExvsZ2Y1cmlyAfzNK+YsmSS6XCr/5wNYvTVTNNFX70zLlzrxDxRmbJFeJ+1WUxyspSXJUq60qI2Yp9vJeZQ/kyfNG1FHR5fwpfEsaNlOOhOoqWPmK5HKp5KddKvzl1ezpiToUf82DShww2daYJccOyLnbfXuV6Es6K7pei6DNF26RnMuSnIMB1+mVZG0v8zy/55DLsIjEbLryT54uOpJUUqzCVTNtnx/bfoDfAkw2Qy8Sc+lwRElRMVKJ+y4VrmMH5Dx2wO85se36KWnQP209pZBcuhlbgKNTmyq21e9UtPn/5Ny5UsWHvg/4Sl5y3wew2rivVbjufRWue0/FB7bKdeKQHIk1FHVRE8W1u1VxXe9UlMcztn0pyTt2+tYtjijFdbjtfH8siyMmTkl3vKS4LsNU8NWbcu5YYd3yJKpGfcX8qofiu96lmMZX2h6zYPWb1hq5hJ4PBW2uOC3ScxkK5DI8yGb5kc3Qi8RcOhKTVePFbBVtXyLn7tUqztioksN7VHLiZ/ejmeOqKKpKTUXVbamYSzorrtNgRde5zPb45NLN2AIsSQm/Haeize4rJwtWvqokm1f8OmLiFP/r4baXDfji3LnSCmFcp8FnPcgiGGIu6eR1pey5chU7VbjqdUlS1EVNFNth4HmPibJFai4T+/6PEvv+T1DGKkUuwyvSshl9UWPVfC00j4Mlm+ETabmU3CU4rn0/xbXvd95jeSKXpxl5EVypmMu6KqaF+7nuBateV0nukbB+f+eOZe6NqGgl/O5vYf3e5VW4do71RJyEG5+MqDsIVDbk0j5yGV5k0z6yGT7k0j5yeZrRBViSEvs/516vU5CrgsUvhPV7l16FGddpiKJTm4X1e5eHq9ip/M8nSnLfLDuu89AKnlHkI5eBkcuKQTYDI5vhRy4DI5fejC/AMWltFH+1+wrz/KVTbN1GJRhKTh5W8YEtF8YrxtVvqOSXp+wk3f5y0G4PBN/IZWDksmKQzcDIZviRy8DIpTeHy/MGsechMzNTDRo0kCRVe2JtuS6uAkKp5Gimjo9zZ7P6pAxF/fKgEKAikUtURuQSlZHzh3U68b/u65kyMjKUlnb+uTS7/gMAAMA4FGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKPEhGLQkhM/qeRoZiiGBsqtJOdgmdtARSKXqIzIJSqjkhM/BX1Mh8vlcgVjoMzMTDVo0CAYQwEAAABnycjIUFpa2nmPwxIIAAAAGCUkSyDef/99tWrVKhRDA+V26NAh9erVS5K0dOlSpaamVvCMAHKJyolcojLasmWLbr/99qCOGZICfNFFF6levXqhGBo4L6mpqWQTlQ65RGVELlFZHDwY/PXoLIEAAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBljR27FilpKQoLS1NBw8erOjpVDqzZs1SSkqKUlJStGbNmoqejjHIpX/ksuKQTf/IZsUgl/6RS28xFT2BirZ161bNmjVLknTffffp4osv9nlscXGxvvvuO23YsEGbNm3Sxo0btXXrVhUVFUmSunbtqvnz54dl3nZt2LBBc+bM0apVq5SVlSWXy6V69eqpW7duGjx4sNq3bx9wjGHDhmnatGnatWuXxo0bp2XLlikqitdOoRSpuczKytLGjRu9/nf06FHrzzdt2qSGDRvaGotcVoxIzGZubq5WrVqllStXKj09Xbt379bRo0cVExOjlJQUtWnTRr1799bAgQNVpUqVgOORzfCLtFwWFRVp69at2rRpkzZs2KAdO3YoOztb2dnZysvLU7Vq1dSwYUO1b99e/fv3169//euAY5JLb8YX4PHjx6u4uFhVq1bV/fff7/O4BQsWaPTo0crLywvj7M5dYWGhxo8fr9dff10ul8vrz3bu3KmdO3dq1qxZuueee/T0008rNjbW51gxMTH64x//qPvvv1/p6en66KOPNGjQoFD/CEaLxFy2aNEiqO/KkMuKEWnZHD16tBYsWFDmPAsLC5WXl6fMzEwtXLhQzzzzjF588UX17dvX75hkM/wiLZcLFy7UqFGjfP75kSNHdOTIEW3atElvvvmmunfvrpdeeklpaWk+zyGX3syt/pLWrFmj5cuXS3K/MqpRo4bPY48fP17pf2E8Pfzww5oxY4ZVfi+55BINHDhQAwYMUKNGjSRJLpdLr732mv70pz8FHG/AgAGqX7++JOm5556T0+kM3eQNF6m5DMVHkuQyvCIxm5999pnXPGvUqKGePXtq8ODBuuOOO9ShQwc5HA5JUnZ2tkaMGGG90+gP2QyfSMylp4SEBLVt21Y33XSThg8frmHDhum6665TrVq1rGNWrlypPn36KDMz0+9Y5PI0o98BnjJliiTJ4XDorrvusnVOnTp11K5dO+t/y5Yt02uvvRbCWZbfu+++q/fff1+SFBUVpQkTJmj06NHWRx0lJSWaPn26xo8fr5KSEs2ePVtdu3bV7bff7nPM2NhYjRgxQhMnTtTevXs1b9489e/fPyw/j2kiNZeS+x/yVq1aqX379mrXrp1q166tAQMGnPN45DK8IjWbSUlJ6tevn4YMGaIrr7zyrI+Ft23bpvvuu0+bN2+W5F5r2rlzZ7Vo0cLnmGQzfCIxl6mpqXr00Ud17bXXqm3btmV+Sut0OjV79mw98cQTys/P1/79+/XYY4/pvffe8zkuuTzN2AK8a9cuLV68WJJ7vU+TJk38Ht+rVy+lp6ef9fHC+vXrQzbHc1FQUKBnn33W2v/DH/6g++67z+uYqKgojRkzRj///LOmTp0qSfrf//1f9evXT3FxcT7HHjx4sCZNmqSSkhK99tprxv7ShFKk5lKSVqxYoRYtWigm5vQ/Oz/++ON5j0suwyNSs3n33XfrgQceUJ06dXwe06JFC82bN0/du3dXRkaGiouL9eKLL2rmzJl+xyaboRepuezSpYu6dOni95iYmBiNGDFCMTExevDBByVJX3zxhfbv32+9y1sWculm7BKIOXPmWMsDbr311oDHp6am+l1bU1l8/vnn2r9/vyQpOTlZjz76qM9jH3vsMSUnJ0uSMjIy9MUXX/gdu169eurcubMk6ZtvvtGOHTuCNGuUitRcSlKbNm28ym+wkMvwiNRsPv30037Lb6kaNWrooYcesvZLS5c/ZDP0IjWX5TFw4EAlJCRIci9t3LJli9/jyaWbsQX4448/trb79OlTgTMJroULF1rbt956q5KSknwem5SUpFtuucXaX7BgQcDxf/e731nbH3300blNEj5Fai5DjVyGHtmUVRok6cSJE153MPGFbIYWuZTi4uJUvXp1a//kyZMBzyGXhhbgrVu3WgvFmzVr5vd2KReaVatWWdvdunULeLznMV9++WXA46+66ipre9GiReWcHfyJ5FyGGrkMLbLpVnoxXKni4uKA55DN0CGXbkeOHNHhw4etfTvvcJNLQwtw6dWikgKusbmQ5OTkeF1p36ZNm4DneB6TlZWlnJwcv8e3atVK1apVk+T+x+fQoUPnOFucKVJzGQ7kMrTIptu2bdus7cTERK+r8H0hm6FDLt1LHkpvASdJ9evXV4cOHQKeRy4NLcCei91btmxZgTMJru+//95r386rwDOP2bVrl9/jHQ6HLr/8cmt/w4YN5Zgh/InUXIYDuQwtsuk2Z84ca/uqq6466x3hspDN0DE1l06nU1lZWZo/f75uuukmK5cxMTF6/vnnbV1rQS4NLcCer+KbNm1agTMJriNHjljb1apVU2JiYsBzkpKSVLVqVWvfzpq2Zs2aWdultwXC+YvUXIYLuQwdsum+un7FihXWvt3bbUlkM1RMymWHDh2sxxjXqVNHLVu21IgRI7R69WpJ7ov7PvnkE/32t7+1PabpuTSuALtcLmVkZFj79erVq8DZBFdubq61baf8lnWs5xi+1K1b19ret2+f7e8D3yI5l+FCLkODbLof4vLwww9b+z169NC1115r+3yyGXzk8rQhQ4Zo3bp1Xut67TA9l8bdBzgnJ0f5+fnWfkpKSgXOJrgKCgqsbX+PNj6T571/Pf9ufPFc9/bTTz/Z/j7wLZJzGS7kMjRMz2ZhYaFGjhxpXV9Rs2ZNvfzyy+Uag2wGn2m5vO2225SdnS3J/d/pgwcPav369Tp69Khmz56tpUuXavz48X4faHUm03NpXAE+8x3O0nvnRYL4+Hhru6ioyPZ5hYWF1radvw/PYy60R0pWVpGcy3Ahl6FhcjZdLpfGjBmjtWvXSnK/sTBjxoxyv9tINoPPtFw+/vjjZ32tsLBQH3zwgf72t7/p4MGDGjNmjDIyMvTYY4/ZGtP0XBq3BOJMdi5iuFBUqVLF2j516pTt8zyP9RzDl9KbjiN0IimX4UIuw8OkbI4dO1b//ve/JbmfoPnqq6+qV69e5R6HbIaeSbksFRcXp2HDhumTTz6xPvWdNGmS1qxZY+t803NpXAE+s+CVpyhWdp4fAZ04ccLWcoa8vDyvm2bXrFkz4DmeSy38PWgD9kVyLsOFXIaGqdmcMGGC3njjDWv/+eefP+dHxpLN4DM1l2Xp0KGDBg0aJMldaqdNm2brPNNzaVwBTk5O9nrbv3RNTSQ48ypYzwsEfCm9iXipyy67LOA5njfcTk1NtTk7+BPJuQwXchkaJmbzhRde0D/+8Q9r/8knn9SoUaPOeTyyGXwm5tKfHj16WNulS3YCMT2XxhVgh8OhBg0aWPsHDhyowNkEV3JysteTcNLT0wOe43lM3bp1lZycHPCcrKwsa7thw4blnCXKEsm5DBdyGRqmZXPatGl65plnrP1HHnlEDz300HmNSTaDz7RcBlKjRg1r2/OWqP6YnkvjCrDkfcPsQA9+uNB4Ptq49P6A/ngec/XVV9v6Hp4P3GjdunU5Zgd/IjmX4UAuQ8eUbL711lv6y1/+Yu2PHj3aa/9ckc3QMCWXdng+yc3OUkaJXBpZgNu3b29tb9mypQJnEnw33HCDtT137ly/66JOnTqlTz/9tMxzfXG5XNq+fbu17/l3ifMTybkMNXIZWiZk88MPP9Sjjz5q7Q8dOlQTJ04873HJZuiYkEu7Fi1aZG17PuDCF3JpaAG+5pprrG27V0teKPr06WPdouf48eN68cUXfR47efJkHT9+XJLUoEEDXX/99QHH37Jli06cOCHJ/erbxHVDoRLJuQw1chlakZ7N+fPn6/7771dJSYkkqX///poyZUpQ7ixANkMnUnPpdDqVk5Nj+/jFixdr/vz51n7fvn0DnkMuDS3ALVu2VFpamiT3RwClNzivCFdccYX1eMNJkyad93jx8fEaN26ctT9lyhTNmDHD63YnJSUlmj59uqZOnWp97YknnvB6IIYv//nPf6xtO4UZ9kVyLkONXIZWJGdzyZIluvvuu1VcXCzJ/UnYtGnTFBUVnP88ks3QidRc5ubmqm3btpo4caLXMoUzHTt2TJMnT9bw4cOt/8Y3adJEw4cPD/g9yKWBD8IoNXDgQOsq34ULF+rOO+8MeM5tt9121i+Y59NTNm3aVOY62g8++MDrkYOhNnToUK1evVoffPCBiouLNW7cOM2YMUMdO3aUy+XSunXr9MMPP1jHDx482PbTYxYsWGBtDxgwINhTN14k53LWrFmaNWuW19c8H8IiuX+WM1+IjRo1KuAV+OQy9CIxm9nZ2Ro5cqSVw+joaNWqVUt//vOfbZ0/evRoXXrppX6PIZuhFYm5lE6X28mTJ6tu3bpq0aKFateurcTEROXm5mrPnj1KT0/3+jc0NTVVs2fP9nooli/k0uACPHjwYE2ZMkUul0tz58619UuzY8cOv7cWy83NLXMdkr+nsnm+MxsdHR1wDnZNnTpVycnJmjlzplwul/bs2aM9e/Z4HeNwOHT33XdrwoQJtsbMysrS119/Lcl938HmzZsHbb5wi+RcHjp0KOA6vZ07d5Z5nj/kMjwiMZu5ubleT8AqLi7WO++8Y/v8m266yW8BJpuhF4m5dDgciomJkdPplOTOkecdG8py4403atKkSbaeUkgu3YxcAiFJl156qa677jpJ7jsh7N69O+xzOH78uHXrlqioKN1yyy1BGzsuLk7PPvusvvjiC40cOVJNmzZV1apVVbVqVTVt2lQjR47U4sWLNWnSJOsJMoHMnj3bWiN37733Bm2uOC3ScxkK5DI8yGb5kc3Qi8RcJicna9euXXr77bc1ZswYXXXVVWrQoIGSkpIUHR2tatWqqUGDBrr22ms1btw4ffPNN/rXv/5l+xHd5NLN2HeAJemhhx6yrpx84403Al7x++233wb1+69evdoK4YABA856kEUwdOjQQR06dDjvcZxOp/71r39Jkho3bqybb775vMdE2SI1l+PGjfNanx4M5DK8Ii2bDRs2tH3P1PIim+ETabmU3CW4b9++ti5oKw9yeZqx7wBLUpcuXdSzZ09J0jvvvKOjR4+G9ft/+eWXktwfl3jefqcy+vjjj62nxo0dO1YxMUa/dgopcmkfuQwvsmkf2QwfcmkfuTzN6AIsSU899ZSio6OVm5urV155Jazfe9WqVZLci/jtPIK4ojidTusig9atW+u2226r4BlFPnIZGLmsGGQzMLIZfuQyMHLpzfgC3LJlS+sK8+nTp4ftNirZ2dnavn37BfGK8d1337VuxfLss88G7fZA8I1cBkYuKwbZDIxshh+5DIxcenO4PC9dPA+ZmZnWc7mXLFli5FNFUDkdOHBArVq1kuS++bfdCwWAUCKXqIzIJSqjDRs2qHfv3pKkjIwM6/7P58Ps+g8AAADjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYJSYUAx6+PBhHThwIBRDA+V26NChMreBikQuURmRS1RGhw8fDvqYDpfL5QrGQJmZmWrQoEEwhgIAAADOkpGRobS0tPMehyUQAAAAMEpIlkC8//77atWqVSiGBsrt0KFD6tWrlyRp6dKlSk1NreAZAeQSlRO5RGW0ZcsW3X777UEdMyQF+KKLLlK9evVCMTRwXlJTU8kmKh1yicqIXKKyOHjwYNDHZAkEAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKsKSxY8cqJSVFaWlpOnjwYEVPp9KZNWuWUlJSlJKSojVr1lT0dIxBLv0jlxWHbPpHNisGufSPXHqLqegJVLStW7dq1qxZkqT77rtPF198sc9jf/zxRy1fvlxfffWVtm3bpszMTOXm5qpq1aqqV6+errzySg0YMEBdu3YN1/QD2rBhg+bMmaNVq1YpKytLLpdL9erVU7du3TR48GC1b98+4BjDhg3TtGnTtGvXLo0bN07Lli1TVBSvnUIpUnOZlZWljRs3ev3v6NGj1p9v2rRJDRs2tDUWuawYkZjN3NxcrVq1SitXrlR6erp2796to0ePKiYmRikpKWrTpo169+6tgQMHqkqVKgHHI5vhF2m5LCoq0tatW7Vp0yZt2LBBO3bsUHZ2trKzs5WXl6dq1aqpYcOGat++vfr3769f//rXAcckl94cLpfLFYyBMjMz1aBBA0nSkiVLbBWryqB///5avny5qlatqvT0dNWoUeOsY9LT0/WnP/1JGzZssDVmt27d9OqrryotLS3Is7WvsLBQ48eP1+uvvy5f/xc7HA7dc889evrppxUbG+t3vPfee0/333+/JGnatGkaNGhQ0OccKgcOHFCrVq0kSVu2bFG9evUqeEaBRWIuW7RoEfBdmfIUYIlcVoRIy+bo0aO1YMEC5eXlBTy2Vq1aevHFF9W3b9+Ax16o2SSXp1VkLufNm6dRo0bZPr579+566aWXAs71Qs3lhg0b1Lt3b0lSRkZGUP4/Mbf6S1qzZo2WL18uyf3KqKxfGEn6/vvvz/qFueyyy3TjjTdqxIgRuuWWW7z+kVi1apWuv/56/fDDD6GaekAPP/ywZsyYYZXfSy65RAMHDtSAAQPUqFEjSZLL5dJrr72mP/3pTwHHGzBggOrXry9Jeu655+R0OkM3ecNFai5D8ZEkuQyvSMzmZ5995lV+a9SooZ49e2rw4MG644471KFDBzkcDklSdna2RowYYb3T6A/ZDJ9IzKWnhIQEtW3bVjfddJOGDx+uYcOG6brrrlOtWrWsY1auXKk+ffooMzPT71jk8jSjl0BMmTJFkvud0Lvuuivg8U2aNNGwYcM0cODAs14Vl5SUaPbs2XriiSeUl5enrKws3XPPPVq0aJH1j2e4vPvuu3r//fclSVFRUZowYYJGjx5tfdRRUlKi6dOna/z48da8u3btqttvv93nmLGxsRoxYoQmTpyovXv3at68eerfv39Yfh7TRGouJfc/5K1atVL79u3Vrl071a5dWwMGDDjn8chleEVqNpOSktSvXz8NGTJEV1555VkfC2/btk333XefNm/eLMm91rRz585q0aKFzzHJZvhEYi5TU1P16KOP6tprr1Xbtm3L/JTW6XRac83Pz9f+/fv12GOP6b333vM5Lrk8zdglELt27VLnzp3lcrnUrVs3ffbZZz6PXb16tfbt26dBgwYpOjra77j/93//p+HDh1v7H330kXr16hW0eQdSUFCgjh07av/+/ZLc7wSPHz++zGOfeuopTZ06VZLUoEEDrVu3TnFxcT7HPnDggNq0aaOSkhJ17NhRX3zxRfB/gBC4kD7Si9RcSu6PH1u0aKGYmNOvu3/88Ue1bdvW2i/vEgiJXIZLpGZz/PjxeuCBB1SnTh2/xx07dkzdu3dXRkaGJKlfv36aOXOm33MuxGySS7eKzmV5zJ49Ww8++KAk94uA9PR0613eslyIuWQJRBDNmTPHWh5w6623+j22a9euGjx4cMBfGEm68cYbvcr/4sWLz2+i5fT5559b5Tc5OVmPPvqoz2Mfe+wxJScnS3IHKtAvQb169dS5c2dJ0jfffKMdO3YEadYoFam5lKQ2bdp4ld9gIZfhEanZfPrppwOWX8m9NOKhhx6y9u3Mk2yGXqTmsjwGDhyohIQESe6ljVu2bPF7PLl0M7YAf/zxx9Z2nz59gjp2abAk9ztc4bRw4UJr+9Zbb1VSUpLPY5OSknTLLbdY+wsWLAg4/u9+9ztr+6OPPjq3ScKnSM1lqJHL0COb3vM8ceKE1x1MfCGboUUupbi4OFWvXt3aP3nyZMBzyKWhBXjr1q3WQvFmzZr5vV3KufBcJ1RcXBzUsQNZtWqVtd2tW7eAx3se8+WXXwY8/qqrrrK2Fy1aVM7ZwZ9IzmWokcvQIptuZ64BtTNXshk65NLtyJEjOnz4sLVvZ3kAuTS0AJdeLSpJXbp0Cfr427Zts7b9rcMJtpycHK8r7du0aRPwHM9jsrKylJOT4/f4Vq1aqVq1apLc//gcOnToHGeLM0VqLsOBXIYW2XTznGdiYqLXVfi+kM3QIZfuJQ/jx4+3Cnr9+vXVoUOHgOeRS0ML8Pr1663tli1bBnXszMxM/ec//7H2u3fvHtTx/fn++++99u28CjzzmF27dvk93uFw6PLLL7f27d5PEYFFai7DgVyGFtl0mzNnjrV91VVX2borANkMHVNz6XQ6lZWVpfnz5+umm26ychkTE6Pnn3/e1rUW5NLQAuz5qq5p06ZBHfsvf/mL9UosLS1Nv/3tb4M6vj9HjhyxtqtVq6bExMSA5yQlJalq1arWvp01bc2aNbO2S28LhPMXqbkMF3IZOmRT+uKLL7RixQpr387ttkqRzdAwKZcdOnSwHmNcp04dtWzZUiNGjNDq1asluW+b9sknn5Rrnqbn0rgC7HK5rNvYSArqLV7ee+89zZ8/39ofP3684uPjgzZ+ILm5uda2nfJb1rGeY/hSt25da3vfvn22vw98i+Rchgu5DA2y6X6Iy8MPP2zt9+jRQ9dee63t88lm8JHL04YMGaJ169Z5reu1w/RcGvcgjJycHOXn51v7KSkpQRl348aNeuSRR6z9W2+99bxu8H8uCgoKrO1Ajzb25HnvX8+/G18817399NNPtr8PfIvkXIYLuQwN07NZWFiokSNHWtdX1KxZUy+//HK5xiCbwWdaLm+77TZlZ2dLcv93+uDBg1q/fr2OHj2q2bNna+nSpRo/frzfB1qdyfRcGleAz3yHs/Teeedj3759Gjx4sPXL2KJFC/3jH/8473HLy/MValFRke3zCgsLrW07fx+ex3g+QhTnLpJzGS7kMjRMzqbL5dKYMWO0du1aSe43FmbMmFHudxvJZvCZlsvHH3/8rK8VFhbqgw8+0N/+9jcdPHhQY8aMUUZGhh577DFbY5qeS+OWQJzpfB9tePDgQfXr18+6grJx48b6+OOPrQdMhFOVKlWs7VOnTtk+z/NYzzF8CdLDA+FHJOUyXMhleJiUzbFjx+rf//63JPdj5V999dVzehoY2Qw9k3JZKi4uTsOGDdMnn3xifeo7adIkrVmzxtb5pufSuAJ8ZsErT1E805EjR9SvXz/t3btXknTxxRdr7ty5Qb8XoV2eHwGdOHHC1nKGvLw8r5tm16xZM+A5nkst/D1oA/ZFci7DhVyGhqnZnDBhgt544w1r//nnn1f//v3PaSyyGXym5rIsHTp00KBBgyS5S+20adNsnWd6Lo0rwMnJyV5v+5euqSmvnJwcDRw4UN99950kd/n85JNP1KhRo6DM81yceRWs5wUCvpTeRLzUZZddFvAczxtup6am2pwd/InkXIYLuQwNE7P5wgsveH30/eSTT2rUqFHnPB7ZDD4Tc+lPjx49rO3SJTuBmJ5L4wqww+FQgwYNrP0DBw6Ue4zc3FwNGjRIGzdulOS+5djHH3/sdU+9ipCcnOz1ijU9PT3gOZ7H1K1b19bHPVlZWdZ2w4YNyzlLlCWScxku5DI0TMvmtGnT9Mwzz1j7jzzyiB566KHzGpNsBp9puQykRo0a1rbnLVH9MT2XxhVgyfuG2YEe/HCm/Px8DRkyRF9//bUk98cGH3zwgdq2bRvMKZ4zz0cbl94f0B/PY66++mpb38PzgRutW7cux+zgTyTnMhzIZeiYks233npLf/nLX6z90aNHe+2fK7IZGqbk0g7PJ7nZWcookUsjC3D79u2t7S1bttg+r6ioSCNGjNCXX34pyX3XhXfffTckj2A8VzfccIO1PXfuXL/rok6dOqVPP/20zHN9cblc2r59u7Xv+XeJ8xPJuQw1chlaJmTzww8/1KOPPmrtDx06VBMnTjzvcclm6JiQS7sWLVpkbXs+4MIXcmloAb7mmmusbbtXSxYXF+vuu+/W4sWLJbkfOfjmm296rbupDPr06WPdouf48eN68cUXfR47efJkHT9+XJLUoEEDXX/99QHH37Jli06cOCHJ/erbxHVDoRLJuQw1chlakZ7N+fPn6/7771dJSYkkqX///poyZcp531lAIpuhFKm5dDqdysnJsX384sWLvR7c0bdv34DnkEtDC3DLli2VlpYmyf0RQOkNzn1xuVz6wx/+oM8++0yS+3Y406ZNU58+fc57LldccYX1eMNJkyad93jx8fEaN26ctT9lyhTNmDHD63YnJSUlmj59uqZOnWp97YknnvB6IIYvns9Gt1OYYV8k5zLUyGVoRXI2lyxZorvvvtt67O0NN9ygadOmKSoqOP95JJuhE6m5zM3NVdu2bTVx4kSvZQpnOnbsmCZPnqzhw4db/41v0qSJhg8fHvB7kEsDH4RRauDAgdZVvgsXLtSdd97p89g333xT7733nrV/ySWX6Ouvv7bWDvlTs2ZNPfHEE+c/4XIYOnSoVq9erQ8++EDFxcUaN26cZsyYoY4dO8rlcmndunX64YcfrOMHDx5s++kxCxYssLYrw9NxIk0k53LWrFmaNWuW19c8H8IiuZ92dOYLsVGjRgW8Ap9chl4kZjM7O1sjR460chgdHa1atWrpz3/+s63zR48erUsvvdTvMWQztCIxl9Lpcjt58mTVrVtXLVq0UO3atZWYmKjc3Fzt2bNH6enpXv+Gpqamavbs2bYe20wuDS7AgwcP1pQpU+RyuTR37ly/vzQ///yz1/7u3bu1e/duW9+nQYMGfn9pPN+ZjY6OtjWmHVOnTlVycrJmzpwpl8ulPXv2aM+ePV7HOBwO3X333ZowYYKtMbOysqx/KDp06KDmzZsHbb5wi+RcHjp0KOA6vZ07d5Z5nj/kMjwiMZu5ubleT8AqLi7WO++8Y/v8m266yW8BJpuhF4m5dDgciomJkdPplOTOkecdG8py4403atKkSbaeUkgu3YxcAiFJl156qa677jpJ7jsh2P0lCKbjx49bt26JiorSLbfcErSx4+Li9Oyzz+qLL77QyJEj1bRpU1WtWlVVq1ZV06ZNNXLkSC1evFiTJk2yniATyOzZs601cvfee2/Q5orTIj2XoUAuw4Nslh/ZDL1IzGVycrJ27dqlt99+W2PGjNFVV12lBg0aKCkpSdHR0apWrZoaNGiga6+9VuPGjdM333yjf/3rX7Yf0U0u3RyuID0LLzMz07on35IlSy6IKwrXrFlj3fng3nvvDcoVv+WxcOFCDR06VJL7o9/p06eH9fuXh9PpVPv27ZWZmanGjRtr7dq1iom5MD5AOHDggFq1aiXJvfDf7j8SFYVc2kcuw4ts2nehZpNclh+5DL0NGzaod+/ektwP+Spd+30+jH0HWJK6dOminj17SpLeeecdHT16NKzfv/QWLNHR0V6336mMPv74Y+upcWPHjr0gfmEuVOTSPnIZXmTTPrIZPuTSPnJ5mtEFWJKeeuopRUdHKzc3V6+88kpYv/eqVaskuRfx23kEcUVxOp3WRQatW7fWbbfdVsEzinzkMjByWTHIZmBkM/zIZWDk0pvxBbhly5bWFebTp08PeBuVYMnOztb27dsviFeM7777rnUrlmeffTZotweCb+QyMHJZMchmYGQz/MhlYOTSm9FrgGGGC3FNGyIfuURlRC5RGbEGGAAAADhPFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGCUmFIMePnxYBw4cCMXQQLkdOnSozG2gIpFLVEbkEpXR4cOHgz6mw+VyuYIxUGZmpho0aBCMoQAAAICzZGRkKC0t7bzHYQkEAAAAjBKSJRDvv/++WrVqFYqhgXI7dOiQevXqJUlaunSpUlNTK3hGALlE5UQuURlt2bJFt99+e1DHDEkBvuiii1SvXr1QDA2cl9TUVLKJSodcojIil6gsDh48GPQxWQIBAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCLGns2LFKSUlRWlqaDh48WNHTqXRmzZqllJQUpaSkaM2aNRU9HWOQS//IZcUhm/6RzYpBLv0jl95iKnoCFW3r1q2aNWuWJOm+++7TxRdfXOZxR48e1caNG7Vx40Zt2rRJGRkZys7OVnZ2thwOh2rUqKHmzZurW7duGjRokOrVqxfOH8OnDRs2aM6cOVq1apWysrLkcrlUr149devWTYMHD1b79u0DjjFs2DBNmzZNu3bt0rhx47Rs2TJFRfHaKZQiNZdZWVnWfEv/d/ToUevPN23apIYNG9oai1xWjEjMZm5urlatWqWVK1cqPT1du3fv1tGjRxUTE6OUlBS1adNGvXv31sCBA1WlSpWA45HN8Iu0XBYVFWnr1q3atGmTNmzYoB07dljzzMvLU7Vq1dSwYUO1b99e/fv3169//euAY5JLbw6Xy+UKxkCZmZlq0KCBJGnJkiW2ilVl0L9/fy1fvlxVq1ZVenq6atSoUeZxt99+u7744gtbY8bFxenhhx/W2LFjKyxchYWFGj9+vF5//XX5+r/Y4XDonnvu0dNPP63Y2Fi/47333nu6//77JUnTpk3ToEGDgj7nUDlw4IBatWolSdqyZUuFl0A7IjGXLVq0CPiuTHkKsEQuK0KkZXP06NFasGCB8vLyAh5bq1Ytvfjii+rbt2/AYy/UbJLL0yoyl/PmzdOoUaNsH9+9e3e99NJLSktL83vchZrLDRs2qHfv3pKkjIyMgD+nHUa/A7xmzRotX75ckvuVka9fmDPVqVNHTZs2VVpampKSknTq1Cnt3r1bGzdulNPpVGFhoZ577jllZGTolVdeCeFP4NvDDz+s999/39q/5JJL1LFjR7lcLq1bt0779u2Ty+XSa6+9ppMnT+qll17yO96AAQM0ceJE7d+/X88995z69++vmBij4xMykZrLUHwkSS7DKxKz+dlnn6mgoMDar1Gjhtq3b6+LL75YLpdLO3fu1IYNG+RyuZSdna0RI0bohRdeCFhOyGb4RGIuPSUkJKh58+Zq2LChatSoIZfLpUOHDmn9+vXKzs6WJK1cuVJ9+vTR559/7rccksvTzPypfzFlyhRJ7ndC77rrLr/Hdu3aVX369FGPHj3UqFGjMo85dOiQnnjiCX366aeS3K+0rr/+et10003BnHZA7777rlV+o6KiNGHCBI0ePdp6BVtSUqLp06dr/PjxKikp0ezZs9W1a1fdfvvtPseMjY3ViBEjNHHiRO3du1fz5s1T//79w/LzmCZScym5/yFv1aqV2rdvr3bt2ql27doaMGDAOY9HLsMrUrOZlJSkfv36aciQIbryyivPerdv27Ztuu+++7R582ZJ7rWmnTt3VosWLXyOSTbDJxJzmZqaqkcffVTXXnut2rZtW+antE6nU7Nnz9YTTzyh/Px87d+/X4899pjee+89n+OSy9OMXQKxa9cude7cWS6XS926ddNnn30WlHFdLpduvvlmrVq1SpLUo0cP/fvf/w7K2HYUFBSoY8eO2r9/vyT3O8Hjx48v89innnpKU6dOlSQ1aNBA69atU1xcnM+xDxw4oDZt2qikpEQdO3a0/TFSRbuQPtKL1FxKUnp6ulq0aOH1bsOPP/6otm3bWvvlXQIhkctwidRsjh8/Xg888IDq1Knj97hjx46pe/fuysjIkCT169dPM2fO9HvOhZhNculW0bksj9mzZ+vBBx+U5H4RkJ6ervr16/s8/kLMZSiWQBi7+nnOnDnW2thbb701aOM6HA4NGTLE2k9PTw/a2HZ8/vnnVvlNTk7Wo48+6vPYxx57TMnJyZLcgQr0S1CvXj117txZkvTNN99ox44dQZo1SkVqLiWpTZs2IfmojVyGR6Rm8+mnnw5YfiX30oiHHnrI2l+8eHHAc8hm6EVqLstj4MCBSkhIkOQu7lu2bPF7PLl0M7YAf/zxx9Z2nz59gjr2RRddZG2fPHkyqGMHsnDhQmv71ltvVVJSks9jk5KSdMstt1j7CxYsCDj+7373O2v7o48+OrdJwqdIzWWokcvQI5uySoMknThxwusOJr6QzdAil+6L9apXr27t25kruTS0AG/dulWZmZmSpGbNmvm8Xcq52rlzp7VduiwkXEo/rpGkbt26BTze85gvv/wy4PFXXXWVtb1o0aJyzg7+RHIuQ41chhbZdHM4HF77xcXFAc8hm6FDLt2OHDmiw4cPW/t2lgeQS0MLcOnVopLUpUuXoI6dlZWll19+2dq3c7ucYMnJyfG60r5NmzYBz/E8JisrSzk5OX6Pb9WqlapVqybJ/Y/PoUOHznG2OFOk5jIcyGVokU23bdu2WduJiYmqVatWwHPIZuiQS/eSh/Hjx1svxurXr68OHToEPI9cGlqA169fb223bNnyvMc7deqUvvvuO7388svq0aOHsrKyJEmXXXaZHn744fMe367vv//ea9/Oq8Azj9m1a5ff4x0Ohy6//HJrf8OGDeWYIfyJ1FyGA7kMLbLpNmfOHGv7qquuOusd4bKQzdAxNZdOp1NZWVmaP3++brrpJiuXMTExev75521da0EuDb0Nmuer+KZNm5b7/DVr1uiGG27we0yvXr00Y8YM6yKzcDhy5Ii1Xa1aNSUmJgY8JykpSVWrVrXWDNlZ09asWTOtXbtWkrR58+agr7syVaTmMlzIZeiQTemLL77QihUrrP1At9vyRDZDw6RcdujQQXv37vX556mpqZoxY4bX0oZATM+lce8Au1wu6zY2koJ+i5fq1atrxowZ+uijj1SzZs2gjh1Ibm6utW2n/JZ1rOcYvtStW9fa3rdvn+3vA98iOZfhQi5Dg2y6H+Li+Q5gjx49dO2119o+n2wGH7k8bciQIVq3bl25yq9ELo17BzgnJ0f5+fnWfkpKSrnHuPjii/X73/9ekvuX8OTJk/r++++Vnp6u48eP65577tE777yjF154QZdddlnQ5h6I59OMAj3a2JPnvX89/2588Vz39tNPP9n+PvAtknMZLuQyNEzPZmFhoUaOHGldX1GzZk2vtaF2kM3gMy2Xt912m/XUt/z8fB08eFDr16/X0aNHNXv2bC1dulTjx4/3+0CrM5meS+MK8JnvcJbeO688GjdurOeee+6sr2dlZenvf/+73nvvPf3nP//Rddddp88++8y6qXioxcfHW9tFRUW2zyssLLS27fx9eB6Tl5dn+/vAt0jOZbiQy9AwOZsul0tjxoyxPiaOjY3VjBkzyv1uI9kMPtNy+fjjj5/1tcLCQn3wwQf629/+poMHD2rMmDHKyMjQY489ZmtM03Np3BKIM9m5iMGuunXr6pVXXtE999wjyf3koN///ve2bpUTDFWqVLG2T506Zfs8z2M9x/AlSA8PhB+RlMtwIZfhYVI2x44daz39KyoqSq+++qp69epV7nHIZuiZlMtScXFxGjZsmD755BPrU99JkyZpzZo1ts43PZfGFeAzC155iqJd48ePt24vsnPnTi1ZsiTo36Msnh8BnThxwtZyhry8PK+bZttZ6+S51MLfgzZgXyTnMlzIZWiYms0JEybojTfesPaff/559e/f/5zGIpvBZ2ouy9KhQwcNGjRIkrvUTps2zdZ5pufSuAKcnJzs9bZ/6ZqaYEpKSlKnTp2s/a+//jro36MsZ14F63mBgC+lNxEvZWedk+cNt1NTU23ODv5Eci7DhVyGhonZfOGFF/SPf/zD2n/yySc1atSocx6PbAafibn0p0ePHtZ26ZKdQEzPpXEF2OFweD3R5cCBAyH5PjVq1LC2PW9PFkrJycleT8Kx8+xyz2Pq1q1r61YvpfdGlKSGDRuWc5YoSyTnMlzIZWiYls1p06bpmWeesfYfeeQRPfTQQ+c1JtkMPtNyGci5zNP0XBpXgCXvG2YHevDDufJ8qko4b6Hi+Wjj1atXBzze85irr77a1vfwfOBG69atyzE7+BPJuQwHchk6pmTzrbfe0l/+8hdrf/To0V7754pshoYpubTjXOZpei6NLMDt27e3trds2RL08Y8cOaJ169ZZ+82aNQv69/DF86bec+fO9bsu6tSpU/r000/LPNcXl8ul7du3W/uef5c4P5Gcy1Ajl6FlQjY//PBDPfroo9b+0KFDNXHixPMel2yGjgm5tGvRokXWtp15kktDC/A111xjbdu5WtLO09FKuVwujR071lpcHh8fr+uvv778kzxHffr0sW7Rc/z4cb344os+j508ebKOHz8uSWrQoIGteW7ZskUnTpyQ5H71beK6oVCJ5FyGGrkMrUjP5vz583X//ferpKREktS/f39NmTIlKHcWIJuhE6m5dDqdysnJsX384sWLNX/+fGu/b9++Ac8hl4YW4JYtWyotLU2S+yOA0huc+/L++++rV69eev/99/2GcuvWrRo4cKB12xxJeuCBB/zeoPuKK65QSkqKUlJSNGnSpHL+JGeLj4/XuHHjrP0pU6ZoxowZXrc7KSkp0fTp0zV16lTra0888YTXAzF8+c9//mNtR1KBqgwiOZehRi5DK5KzuWTJEt19993WLa5uuOEGTZs2TVFRwfnPI9kMnUjNZW5urtq2bauJEyd6LVM407FjxzR58mQNHz7c+m98kyZNNHz48IDfg1wa+CCMUgMHDrSu8l24cKHuvPNOv8dv3LhRY8aMUUxMjJo2barLLrtMNWrUkMPh0JEjR7Rt2zbt2bPH65y+ffuWefPqUBs6dKhWr16tDz74QMXFxRo3bpxmzJihjh07yuVyad26dfrhhx+s4wcPHmz76TELFiywtgcMGBDsqRsvknM5a9YszZo1y+trng9hkdxPOzrzhdioUaMCXoFPLkMvErOZnZ2tkSNHWjmMjo5WrVq19Oc//9nW+aNHj9all17q9xiyGVqRmEvpdLmdPHmy6tatqxYtWqh27dpKTExUbm6u9uzZo/T0dK9/Q1NTUzV79myvh2L5Qi4NLsCDBw/WlClT5HK5NHfuXL+/NJ5hcjqd2r59u9famTNVrVpVjz/+uO69915FR0f7nYfnO7OBji2PqVOnKjk5WTNnzpTL5dKePXvO+qV2OBy6++67NWHCBFtjZmVlWbeB6dChg5o3bx60+cItknN56NChgOv0du7cWeZ5/pDL8IjEbObm5no9Aau4uFjvvPOO7fNvuukmvwWYbIZeJObS4XAoJiZGTqdTkjtHnndsKMuNN96oSZMm2XpKIbl0M7YAX3rppbruuuu0aNEirV69Wrt37/b5D9mdd96pq6++WitXrtT69ev13XffKTMz01o/W61aNaWmpqp169bq3r27+vbtq6pVqwacw/Hjx61bt0RFRemWW24J2s8XFxenZ599Vrfddptmz56t1atXW79AdevWVdeuXTV06NByLXyfPXu2tUbu3nvvDdpccVqk5zIUyGV4kM3yI5uhF4m5TE5O1q5du7Ry5Up9/fXX2rx5s3744QdlZ2eroKBASUlJqlGjhpo3b64OHTpowIABatKkie3xyaWbwxWkZ+FlZmZa9+RbsmTJBXFF4Zo1a6w7H9x7771BueK3PBYuXKihQ4dKcn/0O3369LB+//JwOp1q3769MjMz1bhxY61du1YxMRfG66cDBw5Yz3DfsmWLrVfIFYlc2kcuw4ts2nehZpNclh+5DL0NGzaod+/ektwP+Spd+30+jLwIrlSXLl3Us2dPSdI777xTritEg+HLL7+U5P64xPP2O5XRxx9/bD01buzYsRfEL8yFilzaRy7Di2zaRzbDh1zaRy5PM7oAS9JTTz2l6Oho5ebm6pVXXgnr9161apUk9yJ+O48grihOp9O6yKB169a67bbbKnhGkY9cBkYuKwbZDIxshh+5DIxcejO+ALds2dK6wnz69OkBb6MSLNnZ2dq+ffsF8Yrx3XfftW7F8uyzzwbt9kDwjVwGRi4rBtkMjGyGH7kMjFx6M3oNMMxwIa5pQ+Qjl6iMyCUqI9YAAwAAAOeJAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo1CAAQAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGAUCjAAAACMQgEGAACAUSjAAAAAMAoFGAAAAEahAAMAAMAoFGAAAAAYhQIMAAAAo8QEayCn02lt//zzz9q/f3+whgbOy6FDh6ztgwcPyuVyVeBsADdyicqIXKIy+vnnn61tz755PhyuIKV73bp16tSpUzCGAgAAAM6ydu1aXXnllec9DksgAAAAYJSgvQOcn5+vzZs3S5Jq166tmJigra4AAACAoZxOp7UMonXr1kpISDjvMYNWgAEAAIALAUsgAAAAYBQKMAAAAIxCAQYAAIBRKMAAAAAwCgUYAAAARqEAAwAAwCgUYAAAABiFAgwAAACjUIABAABgFAowAAAAjEIBBgAAgFEowAAAADAKBRgAAABGoQADAADAKBRgAAAAGIUCDAAAAKNQgAEAAGCU/w+wHqNKBjOQTQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"0\", \"array_indexing_2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"1, :\", \"array_indexing_3\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \":, 2\", \"array_indexing_4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"0:2, 0:2\", \"array_indexing_5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"0:2, 2:4\", \"array_indexing_6\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"::2, ::2\", \"array_indexing_7\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"1::2, 1::2\", \"array_indexing_8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \":,[0,3]\", \"array_indexing_9\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"[1,3],[0,3]\", \"array_indexing_10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 363
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \":,np.array([False, True, True, False])\", \"array_indexing_11\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 363
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \":,np.array([False, True, True, False])\", \"array_indexing_12\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 392,
       "width": 384
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array((4, 4), \"1:3,np.array([False, True, True, False])\", \"array_indexing_12\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table border=0>\n",
    "<tr>\n",
    "<td><img src=\"./array_indexing_1.svg\"></td>\n",
    "<td><img src=\"./array_indexing_2.svg\"></td>\n",
    "<td><img src=\"./array_indexing_3.svg\"></td>\n",
    "<td><img src=\"./array_indexing_4.svg\"></td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td><img src=\"./array_indexing_5.svg\"></td>\n",
    "<td><img src=\"./array_indexing_6.svg\"></td>\n",
    "<td><img src=\"./array_indexing_7.svg\"></td>\n",
    "<td><img src=\"./array_indexing_8.svg\"></td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td><img src=\"./array_indexing_9.svg\"></td>\n",
    "<td><img src=\"./array_indexing_10.svg\"></td>\n",
    "<td><img src=\"./array_indexing_11.svg\"></td>\n",
    "<td><img src=\"./array_indexing_12.svg\"></td>\n",
    "</tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "data = np.arange(9).reshape(3,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 2],\n",
       "       [3, 4, 5],\n",
       "       [6, 7, 8]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9, 12, 15])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3, 12, 21])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def show_array_aggregation(data, axis, filename=None):\n",
    "    \"\"\"Visualize indexing of arrays\"\"\"\n",
    "   \n",
    "    fig, axes = plt.subplots(2, 1, figsize=(4, 8))\n",
    "\n",
    "    \n",
    "    ax = axes[0]\n",
    "    ax.patch.set_facecolor('black')\n",
    "    #ax.set_aspect('equal', 'box')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "\n",
    "    \n",
    "    colors = ['#1199ff', '#ee3311', '#66ff22']\n",
    "    \n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        size = 0.97\n",
    "        color = '#1199ff' if w > 0 else '#eeeeee'\n",
    "        color = '#eeeeee'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        if axis is None:\n",
    "            color = '#1199ff'\n",
    "        elif axis == 1:\n",
    "            color = colors[m]\n",
    "        else:\n",
    "            color = colors[n]\n",
    "            \n",
    "        size = 0.8\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "\n",
    "        ax.text(n, m, \"%d\" % data[m, n], ha='center', va='center', fontsize=12)\n",
    "        \n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 2.5)\n",
    "    ax.set_ylim(-.5, 2.5)\n",
    "    ax.invert_yaxis()\n",
    "    ax.set_title(\"data\", fontsize=12)\n",
    "\n",
    "    if False:\n",
    "        ax = axes[1]\n",
    "        ax.set_frame_on(False)\n",
    "        ax.patch.set_facecolor('white')\n",
    "        ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "        ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "        ax.set_xlim(0, 3)\n",
    "        ax.set_ylim(0, 3)\n",
    "\n",
    "        if axis is not None:\n",
    "            ax.text(1.5, 1.5, \"data.sum(axis=%d)\" % axis, ha='center', va='center', fontsize=18)        \n",
    "        else:\n",
    "            ax.text(1.5, 1.5, \"data.sum()\", ha='center', va='center', fontsize=18)        \n",
    "\n",
    "        ax.arrow(0.3, 1.25, 2.1, 0.0, head_width=0.1, head_length=0.2, fc='k', ec='k')\n",
    "\n",
    "    if axis == 0:\n",
    "        adata = data.sum(axis=axis)[:, np.newaxis]\n",
    "    elif axis == 1:\n",
    "        adata = data.sum(axis=axis)[:, np.newaxis]\n",
    "    else:\n",
    "        adata = np.atleast_2d(data.sum(axis=axis))\n",
    "        \n",
    "    ax = axes[1]\n",
    "    ax.set_frame_on(False)\n",
    "    ax.patch.set_facecolor('white')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "    \n",
    "    \n",
    "    colors = ['#1199ff', '#ee3311', '#66ff22']\n",
    "    \n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        size = 1.0\n",
    "        color = '#ffffff'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                         size, size,\n",
    "                         facecolor=color,\n",
    "                         edgecolor=color)\n",
    "        ax.add_patch(rect)        \n",
    "    \n",
    "    for (m, n), w in np.ndenumerate(adata):\n",
    "\n",
    "        if axis is None:\n",
    "            size = 1.0\n",
    "            color = '#000000'\n",
    "            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "            ax.add_patch(rect)        \n",
    "            size = 0.97\n",
    "            color = '#eeeeee'\n",
    "\n",
    "            \n",
    "            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            \n",
    "            if axis is None:\n",
    "                color = '#1199ff'\n",
    "            elif axis == 1:\n",
    "                color = colors[n]\n",
    "            else:\n",
    "                color = colors[m]\n",
    "\n",
    "            size = 0.8\n",
    "            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            \n",
    "            if n == 0:\n",
    "                ax.text(1+m, n+0, \"%d\" % adata[m, n], ha='center', va='center', fontsize=10)\n",
    "\n",
    "            \n",
    "        if axis == 0:\n",
    "            size = 1.0\n",
    "            color = '#000000'\n",
    "            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "            ax.add_patch(rect)        \n",
    "            size = 0.97\n",
    "            color = '#eeeeee'\n",
    "\n",
    "            \n",
    "            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            \n",
    "            if axis is None:\n",
    "                color = '#1199ff'\n",
    "            elif axis == 1:\n",
    "                color = colors[n]\n",
    "            else:\n",
    "                color = colors[m]\n",
    "\n",
    "            size = 0.8\n",
    "            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            \n",
    "            if n == 0:\n",
    "                ax.text(m, n+0, \"%d\" % adata[m, n], ha='center', va='center', fontsize=10)\n",
    "\n",
    "        if axis == 1:\n",
    "            size = 1.0\n",
    "            color = '#000000'\n",
    "            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "            ax.add_patch(rect)        \n",
    "            size = 0.97\n",
    "            color = '#eeeeee'\n",
    "\n",
    "            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "            if axis is None:\n",
    "                color = '#1199ff'\n",
    "            elif axis == 1:\n",
    "                color = colors[m]\n",
    "            else:\n",
    "                color = colors[m]\n",
    "\n",
    "            size = 0.8\n",
    "            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "            \n",
    "            if axis == 0 and m == 0:\n",
    "                ax.text(m+0, n, \"%d\" % adata[m, n], ha='center', va='center', fontsize=12)\n",
    "            if axis == 1 and n == 0:\n",
    "                ax.text(m, n+0, \"%d\" % adata[m, n], ha='center', va='center', fontsize=10)\n",
    "\n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 2.5)\n",
    "    ax.set_ylim(-.5, 2.5)\n",
    "    ax.invert_yaxis()\n",
    "    if axis is not None:\n",
    "        ax.set_title(\"data.sum(axis=%d)\" % axis, fontsize=12)\n",
    "    else:\n",
    "        ax.set_title(\"data.sum()\", fontsize=12)\n",
    "    \n",
    "    fig.tight_layout()\n",
    "    \n",
    "    if filename:\n",
    "        fig.savefig(filename + \".png\", dpi=200)\n",
    "        fig.savefig(filename + \".svg\")\n",
    "        fig.savefig(filename + \".pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [7, 8, 9]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.arange(1,10).reshape(3,3)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([12, 15, 18])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AAFKCAQAASAkGAAAgJRgAAICUYAAAAFKCAQAASAkGAAAgJRgAAICUYAAAAFKCAQAASAkGAAAgJRgAAICUYAAAAFKCAQAASAkGAAAgJRgAAICUYAAAAFKCAQAASAkGAAAg9f8D+R3e3CnoeUEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 400x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 790,
       "width": 390
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array_aggregation(data, None, filename=\"array_aggregation_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 790,
       "width": 390
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array_aggregation(data, 0, filename=\"array_aggregation_2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 790,
       "width": 390
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array_aggregation(data, 1, filename=\"array_aggregation_3\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Broadcasting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "def show_array_broadcasting(a, b, filename=None):\n",
    "    \"\"\"Visualize broadcasting of arrays\"\"\"\n",
    "\n",
    "    c = a + b\n",
    "    \n",
    "    fig, axes = plt.subplots(1, 3, figsize=(12, 4))\n",
    "\n",
    "    data = a\n",
    "    ax = axes[0]\n",
    "    ax.patch.set_facecolor('black')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "    colors = ['#1199ff', '#ee3311', '#66ff22']\n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        size = 0.97\n",
    "        color = '#1199ff'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        ax.text(m, n, \"%d\" % data[n, m], ha='center', va='center', fontsize=12)        \n",
    "    ax.text(2.8, 1, \"+\", ha='center', va='center', fontsize=22)        \n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 2.5)\n",
    "    ax.set_ylim(-.5, 2.5)\n",
    "    ax.invert_yaxis()\n",
    "    \n",
    "    data = np.zeros_like(a) + b\n",
    "    ax = axes[1]\n",
    "    ax.patch.set_facecolor('black')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "    colors = ['#1199ff', '#ee3311', '#66ff22']\n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        size = 0.97\n",
    "        color = '#eeeeee'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        if (np.argmax(b.T.shape) == 0 and m == 0) or (np.argmax(b.T.shape) == 1 and n == 0):\n",
    "            color = '#1199ff'\n",
    "            #size = 0.8\n",
    "            rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                                 size, size,\n",
    "                                 facecolor=color,\n",
    "                                 edgecolor=color)\n",
    "            ax.add_patch(rect)\n",
    "        ax.text(m, n, \"%d\" % data[n, m], ha='center', va='center', fontsize=12)        \n",
    "    ax.text(2.8, 1, \"=\", ha='center', va='center', fontsize=22)        \n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 2.5)\n",
    "    ax.set_ylim(-.5, 2.5)\n",
    "    ax.invert_yaxis()\n",
    "\n",
    "    \n",
    "    data = c\n",
    "    ax = axes[2]\n",
    "    ax.patch.set_facecolor('black')\n",
    "    ax.xaxis.set_major_locator(plt.NullLocator())\n",
    "    ax.yaxis.set_major_locator(plt.NullLocator())\n",
    "    colors = ['#1199ff', '#ee3311', '#66ff22']\n",
    "    for (m, n), w in np.ndenumerate(data):\n",
    "        size = 0.97\n",
    "        color = '#1199ff' if w > 0 else '#eeeeee'\n",
    "        color = '#eeeeee'\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        color = '#1199ff'\n",
    "        #size = 0.8\n",
    "        rect = plt.Rectangle([n - size / 2, m - size / 2],\n",
    "                             size, size,\n",
    "                             facecolor=color,\n",
    "                             edgecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "        ax.text(m, n, \"%d\" % data[n, m], ha='center', va='center', fontsize=12)        \n",
    "    ax.autoscale_view()\n",
    "    ax.set_xlim(-.5, 2.5)\n",
    "    ax.set_ylim(-.5, 2.5)\n",
    "    ax.invert_yaxis()\n",
    "    \n",
    "    #fig.tight_layout()\n",
    "        \n",
    "    if filename:\n",
    "        fig.savefig(filename + \".png\", dpi=200)\n",
    "        fig.savefig(filename + \".svg\")\n",
    "        fig.savefig(filename + \".pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "a = np.array([[11, 12, 13], [21, 22, 23], [31, 32, 33]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "b = np.array([[1, 2, 3]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 328,
       "width": 950
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array_broadcasting(a, b, filename=\"array_broadcasting_1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 328,
       "width": 950
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_array_broadcasting(a, b.T, filename=\"array_broadcasting_2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "%reload_ext version_information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "application/json": {
       "Software versions": [
        {
         "module": "Python",
         "version": "3.10.12 64bit [Clang 14.0.6 ]"
        },
        {
         "module": "IPython",
         "version": "8.12.0"
        },
        {
         "module": "OS",
         "version": "macOS 10.15.7 x86_64 i386 64bit"
        },
        {
         "module": "numpy",
         "version": "1.22.3"
        },
        {
         "module": "matplotlib",
         "version": "3.7.1"
        }
       ]
      },
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:04:57 2024 JST</td></tr></table>"
      ],
      "text/latex": [
       "\\begin{tabular}{|l|l|}\\hline\n",
       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
       "Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\ \\hline\n",
       "IPython & 8.12.0 \\\\ \\hline\n",
       "OS & macOS 10.15.7 x86\\_64 i386 64bit \\\\ \\hline\n",
       "numpy & 1.22.3 \\\\ \\hline\n",
       "matplotlib & 3.7.1 \\\\ \\hline\n",
       "\\hline \\multicolumn{2}{|l|}{Sat Nov 02 18:04:57 2024 JST} \\\\ \\hline\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "Software versions\n",
       "Python 3.10.12 64bit [Clang 14.0.6 ]\n",
       "IPython 8.12.0\n",
       "OS macOS 10.15.7 x86_64 i386 64bit\n",
       "numpy 1.22.3\n",
       "matplotlib 3.7.1\n",
       "Sat Nov 02 18:04:57 2024 JST"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%version_information numpy, matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}