jupyter/HEFT_Example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from heft import heft, gantt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "comp_matrix_1 = heft.readCsvToNumpyMatrix('../test/canonicalgraph_task_exe_time.csv')\n",
    "comm_matrix_1 = heft.readCsvToNumpyMatrix('../test/canonicalgraph_resource_BW.csv')\n",
    "dag1 = heft.readDagMatrix('../test/canonicalgraph_task_connectivity.csv')\n",
    "\n",
    "comp_matrix_2 = heft.readCsvToNumpyMatrix('../test/randomgraph_task_exe_time.csv')\n",
    "comm_matrix_2 = heft.readCsvToNumpyMatrix('../test/randomgraph_resource_BW.csv')\n",
    "dag2 = heft.readDagMatrix('../test/randomgraph_task_connectivity.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Schedule the first graph with no existing schedules or time offset\n",
    "\"\"\"\n",
    "sched, _, _ = heft.schedule_dag(dag1, \n",
    "                                communication_matrix=comm_matrix_1, \n",
    "                                computation_matrix=comp_matrix_1)\n",
    "gantt.showGanttChart(sched)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Schedule the same task set again around the constraints of an existing schedule by passing in the previous\n",
    "list of processor schedules. Also uses a time offset of 10\n",
    "\"\"\"\n",
    "sched, _, _ = heft.schedule_dag(dag1, \n",
    "                                communication_matrix=comm_matrix_1, \n",
    "                                computation_matrix=comp_matrix_1, \n",
    "                                proc_schedules=sched, \n",
    "                                time_offset=10)\n",
    "gantt.showGanttChart(sched)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VzTcUdTVXW1+Lf2f9u+n2ggkLgl+kAbi9CQ87ea6orQhMO+E8veaZd/q1c3r+FHrh7sm7BMBiAF8AUAAWAVirlBqvtS4NxQyjygwdQPTPfwb+9a+W03r2tE6EuuYaZ2pqS0Vgg4eCAuDDD4H164Fnnw39YaU+H7C02TDB114LKNWph47qPSpERcmtXx/4e8gQYNiw8Newb1/gb68XqKtbiP37ASAWpaXWgDFbt1qHk3Ywtk1QLFpkfW+wfbvVe7dxY+B/Y8YAP/sZMG5c6OtoFIm5ocgXzNx4aj3YdnRb0+3pQ6c3/b3t6DYs3bMUMVExePCiBxEXHRe0+XalrhOt3rca5bXlAABVrTBrRBi/qXERbm+c01aez+h1RtO07fnbsf3o9qbDNbNLs5v+l3+82ahiDmB2zBfWFpDW+jKt9cta611a650AfgCgL4Bvhmye3XSonjoyeb1Ww8ZpSgGjRgG33BL4FH7zzYETyGpqgGeeCX0d69cHupV69rQ1OurR40dDVJTMunXAP/9p/R0TA/zqV51urwbV8eMtbytViocfBuLinsbpp1vTjh0DXnopPPUkJQGDBwOxrYyxtG8fsHatdapquERabsgdgpWbSm8lHvzoQVR4rS/Xzht0HuaMnAMAOO49jic/fRIaGrdMuSWsH/Laq+tEWmu891VgNKWYr2M46EobuL1xRnt5vnzU5ejXrR8A69Dou9fcjblvzMUjGx5pOvwYALx+b/gLb4bZMZ/TW80esBqax0I1A+V14FNwOMyfD1x8sfWJOzPTGl6wvNwagKWszGoBOKl/f+Bvf2s5bdo04PTTrdE/ASA31xotdNCg0NXx7ruBv7/zHVujlPSIc+6E6BO99x7wP/9jnQcXGws8+mjwL6HQWXEnfPEfG/sWZs26BjExn+DmmwMv79atoa/F5wPuvBM4cMC6vXCh1Vnr8QBPPGEdxbxiResNwFCJpNyQewQjN0WVRbh/7f3YX7YfADB1wFQsmrkIquHboH9s+weKqoowud9k3DDxhi7PL1h1nWjzoc3I81iH9CfFJiFmn9MfVSIXtzfh11Geu8V1wwtzX8AfP/sjPj/8eVPDrndibwzvORzb8q3ev+6x3Z1ZgAbMjvmcPpbxBQAZALa09k+l1E+UUmlKqbTD+YeRW5aLrOIs7CrchcOew9iatxXlNeVYm7MWfu3H8szlAKxrfwDA8szl0NBYm7MW5TXl2Jq3FYc9h7GrcBeyirOQW5aL9CPpKKkqwYYDG+D1ebFy78oWz3GoYUdTUl2KmroabDq4CQXHC5CRn4F9pfuwr3QfMvIzoLtpbDq4CZXeSqRmp7Z4jsbfK/euhNfnxYYDG1BSVYL0I+miZfJrP9ZW70b56GHYOjQKh+dfitzvXYGquirU1NfAs/xdlJTnt7lMjb9Ts1NR6a1sc5kKjhfAP8Qf3GWaOAFFVcUAgKKqIuDYscAy5ayFjtei16m1ZSrZtBYVu7ejur4aVaoeO6ePQsHxgk6/Tp/lfdb116md7JVWl6LOX4eymmOo89W1ukxaAz//zW786S8+lFWXIya+Frfcm4UB41q+TsHOnoZGcZXVA7rp4KYWy7TPuxn1/np4aj2o9dXC3+sIsoqz4O/hR1nMnqZlqqry4/0sefYal6nx28aihnqaL1PatjpkZB5Dnb8OvpgyXHx1Lg5VZaE4ahdmX1UET60H9f56vLOyEBpa9DrZzV76kfQOlyks24ggLlNnXicuU9eWKSM/o0vLtLtwN65fcj2ySrJw3Hsck/tNxk/O+Qn2FO9pWqbDFYdRWl2KHYU7MOl/JmHmqzMxcfFEFFQWoKSqBFpr/PqjX+PC/7sQvtG+oLxOWw5twfeXfR+7i3ajpr4GZ/U+C/dNvw9b8ra0uUzv7n4XpdWl8Pl9GHv6WOg4HTGvU6Rlb1fhLtcvU/3Iete8Tqv2rsKPV/wYGfkZ8Pl9GNJjCJ6a8xRWfb2qxXOkHUnDopmL8Kvpv8LvZ/0e915wL56Z8wyiVBQqvZWora9FbHSso8uUW57L95NLl6mzlNbOHM6olHoOwA0ALtRa53R0/5SUFJ2WlmZ7Pt3O7IbKfV245t0NN1jnkQHtXhU6Pj4etbW18vl0Vm1t671Rq1ZZ57g1WrbMGtWyi8TLtXevNdLlidejW7Ei0NUDnHRR8qCuxwceCHQnXXmldWG5DjSff0Z+BqYMmBKcWlrRUbTq6qzrxW/YYN3u188a1KSzV57oyrpsr7b6euC73w0ctrl16wJUVb2L5ORkvPGGB889F6j3nXdEs+90LevWAY8/bv0dH2+NsdPYa7dmDfD73wf+t3lzMjweT9cL6kCoc0Pul5x8cha7kpvtR7fj4fUPo7LO2tctGL8At6fcflJP2UPrHmox8l97Nt2/Cd78rh1O1tm6mssszsR/r/pvAEC0isab89/EqIGjwvLedSMTtjetvR8ikSTPzR32HMaPV/wYtT5rv/z0nKcxbXDoBsrraL2akJ1TlVIqXWvd4XDDjhwDoZR6HlYDb2ZnGnhdmlel4HDNtDTrnDHAalQ1+vproHtD9/qkSfIrPXfFXXdZ18c799xA4ygrq+Wn6YEDg9LA65KlS4H0dGDOHGtdxcVZ1/NrXueYMaEbmSM3F/j8c+tvpYAF9kdmG9h9YJCL6ny0EhKA++4DduywpnXvDvz3f1tj2OzcGXjc0KHBe6ntxP6qqwKXNqiruwHr1wP19Rfh9dcDj5s9O/S1nHlm4H+1tdbpn1ddZR25/I9/BP43ZkzgCiOhForckPmkudmYuxGLPlmEer91nZDZI2bjwmEXYldhYMTluOg4jOkzBt8e/e1WP9S99uVrTecWzR4xG2P7jMWmqs5/W9zVupp7d3fgEPtLhl/SdG4TtY7bm/Cwm+fHP34c/br1w5g+Y9Atthv2HduHt3a91dTAmzpgakgbeJ3B7Jgv7I08pdQLsBp4l2itM0M9P38vv/0HPftsoOuguaVLAyM1Pv+8dUHycKurO3kIweYSEoB77w1vTW0pLgbeftv6OVGvXlZPW6i8917gQm4XXHDytQc6Ibs0G/279w9qWZ2N1oABgQYeYPWa/eY3Jz+unc7lkNU2ZQrwwx9a9e3eDWjdB4sWAV7v/U1j3IwbZ42zE45arrrK6sEDgE8/tX6ai48Hbr/durxCOIQiN2Q+aW42HdrU9METAD7a/xE+2v9Ri/v079Yfb1/7dpujWS75aklTIy9lUArmjpqLm2pvsl2LtK5GBccL8HHux023r5/QuWuansq4vQkPu3kuqS7BugPrWn2us3qfhUcufiR0xXYSs2O+sDbylFJ/gTWi5jUAjimlGrtxjmutj7f9SLnoQsHF0CPZ/PnAli3Wxc/Ly63ujsREa3jBc86xjqPrFwHffH7ve9aAKmlpQH6+NdxiTIw17fzzrZ61UPU2lpUB//lP4HYnL35+Ih7G0Lb4eOC556wG16ZN+xEfPwNAHc4807om3XXXhW+wk1/+0rqm4OrV1tuiogKIirLeBlOmWId7DhkSnloA5oZkmBvgX3v+Bb+2vpidOmAqRp8+uoNHEHMTmWYOnwmtNQ55DqHCW4GEmAQM7zkcs0fOxpVnXRkRo8UyO+YL6zl5Sqm2ZvYbrfVj7T1Wek5e0uQkVO2osv04u8J2Tl6YhXu5nF6Pzeefmp2KuaOC1E3mgHCty8bj/iP9vIpw1ef23FDotZbFSMuN09vi5iJ92+KkSMuNBF/f0OhovZqQnVNVRJ6Tp7UO+/UMYg44/20JuRM3fiTB3JAEc0MSzA1JMTvmc/oSCiFXNyqMV0EmozQOaUtkB3NDEswNSTA3JMXsmM/4Rl5sdhivgkxGmTduntMlkAsxNyTB3JAEc0NSzI75jG/ksSePpPgtF0kwNyTB3JAEc0NSzI75jG/ksSePpPgtF0kwNyTB3JAEc0NSzI75jG/k1Y+s7/hORK1YuXel0yWQCzE3JMHckARzQ1LMjvmMb+RFHzDsOnkUNpeeeanTJZALMTckwdyQBHNDUsyO+Yxv5PkG+ZwugVxq86HNTpdALsTckARzQxLMDUkxO+YzvpEXXcyePJKZ1G+S0yWQCzE3JMHckARzQ1LMjvmMb+T5k/1Ol0AudaDsgNMlkAsxNyTB3JAEc0NSzI75jG/kqWrldAnkUn2S+jhdArkQc0MSzA1JMDckxeyYz/hGHmKcLoDcqqa+xukSyIWYG5JgbkiCuSEpZsd8xjfydJR2ugRyqTp/ndMlkAsxNyTB3JAEc0NSzI75jG/kqVoerkkypyWc5nQJ5ELMDUkwNyTB3JAUs2M+4xt5ujt78kgmz5PndAnkQswNSTA3JMHckBSzYz7jG3lRpcYvIoXI2D5jnS6BXIi5IQnmhiSYG5JidsxnfAvIN4AXQyeZL4584XQJ5ELMDUkwNyTB3JAUs2M+4xt50Qd5MXSSmTViltMlkAsxNyTB3JAEc0NSzI75jL/AQK/zeyE5OTnk80lMTAzLfMIt3Mvl9HpsPv+6UXWIzY51rJauCte6HDp0aNPvSH4PNNYZaiuyVuCasdeEZV7kTq29VyJte+P0tri5cL133ciE7U2k7zvcqqP3jQnZofYprd0xMElKSopOS0tzugwiIiIiIiJHKKXStdYpHd3P+MM1l+5Z6nQJ5FLMDkkwNyTB3JAEc0NSzI752JNHRERERETkAuzJa7A8c7nTJZBLMTskwdyQBHNDEswNSTE75jO+J8+v/YhSxrdlKQSYHZJgbkiCuSEJ5oakmB33Yk9eg3X71zldArkUs0MSzA1JMDckwdyQFLNjPuMbedMGTXO6BHIpZockmBuSYG5IgrkhKWbHfMY38jKLM50ugVyK2SEJ5oYkmBuSYG5Iitkxn/GNvCHJQ5wugVyK2SEJ5oYkmBuSYG5Iitkxn/GNvGM1x5wugVyK2SEJ5oYkmBuSYG5Iitkxn/GNvNioWKdLIJdidkiCuSEJ5oYkmBuSYnbMZ3wjLyEmwekSyKWYHZJgbkiCuSEJ5oakmB3zGd/IK64qdroEcilmhySYG5JgbkiCuSEpZsd8xjfyhvca7nQJ5FLMDkkwNyTB3JAEc0NSzI75jG/k7Szc6XQJ5FLMDkkwNyTB3JAEc0NSzI75lNba6Ro6JSUlRaelpdl+nNfnRVx0XAgqItMxOyTB3JAEc0MSzA1JMTvupZRK11qndHQ/43vy1uxb43QJ5FLMDkkwNyTB3JAEc0NSzI75jO/JIyIiIiIiMgF78hos3bPU6RLIpZgdkmBuSIK5IQnmhqSYHfOxJ4+IiIiIiMgF2JPXgN9UkBSzQxLMDUkwNyTB3JAUs2M+9uQRERERERG5AHvyGqRmpzpdArkUs0MSzA1JMDckwdyQFLNjPuN78iq9legW1y0EFZHpmB2SYG5IgrkhCeaGpJgd92JPXoOM/AynSyCXYnZIgrkhCeaGJJgbkmJ2zNfpRp5SKk4ptUwpNSOUBQXbqN6jnC6BXIrZIQnmhiSYG5JgbkiK2TFfpxt5WmsvgDl2HhMJjh4/6nQJ5FLMDkkwNyTB3JAEc0NSzI757DbYNgH4RigKCZUecT2cLoFcitkhCeaGJJgbkmBuSIrZMV+MzfvfA2C5Uuo4gOUAjgJoMXKL1tofpNqIiIiIiIjIJrs9eTsBnAngBQC5ALwA6pr9eINaXRBUeCucLoFcitkhCeaGJJgbkmBuSIrZMZ/dnrxFOKHnLtIN7D7Q6RKCasKECTh06FDQnzcqKgp+v/s6YUNZ98BRA5G1LatLzxGq18uuoUOHYvfu3bYfF+z6pXW0JRLXb1vbnGDWGuz1SM5rzE2kZJqcYXef5k/yI6rKVUMlUISQZsetnxftMmE/a6uRp7V+LER1hEx2aTb6d+/vdBlBc+jQIXg8nqA/b3x8PGpra4P+vKEWyrqTxiZ1+TlC9XrZlZycLHpcsOuX1tGWSFy/bW1zgllrsNcjOa8xN5GSaXKG3X3apoOb8M1h3wxhRWQqaXbc+nnRLhP2s+Kvf5RS3ZVSQ5VSEX0lxSkDpjhdArlUdGG00yWQC3GbQxLMDUkwNyTF7JjPdiNPKXWZUioNQBmAAwDKlVKfK6W+FezigmHjwY1Ol0Au5Rvic7oEciFuc0gUO1iCAAAgAElEQVSCuSEJ5oakmB3z2TpcUyl1GYBVALIBPA4gH8BAANcD+EAp9W2t9X+CXmUXzB011+kSyKViDtg9ZZWI2xySYW5IgrkhKWbHfHZ78h4DsAbAeK31b7TWf204T28CgP8A+E1wy+u6pXuWOl0CuVTdqDqnSyAX4jaHJJgbkmBuSIrZMZ/dRt7ZAP5y4rXwGm4vBhBxB/jOGzfP6RLIpWKzY50ugVyI2xySYG5IgrkhKWbHfHYbebUA2hpupkfD/yMKv6kgKfbkkQS3OSTB3JAEc0NSzI757DbyNgB4XCk1ovlEpdQwWIdyrg9OWcHDbypIij15JMFtDkkwNyTB3JAUs2M+u428+wH0BJCllPpEKfWOUupjAF8D6NXw/4iycu9Kp0sgl6ofWe90CeRC3OaQBHNDEswNSTE75rPVyNNa7wUwGcCLAOIBnAMgAcALAKZorb8OeoVddOmZlzpdArlU9AFeJ4/s4zaHJJgbkmBuSIrZMZ/t6+RprY9qrX+ltT5faz264fd9WuujoSiwqzYf2ux0CeRSvkG8Th7Zx20OSTA3JMHckBSzYz6718mLAhClta5vNu0yABMBrNNabw9yfV02qd8kp0sgl4ouZk8e2cdtDkkwNyTB3JAUs2M+uz15bwH4v8YbSqnbAXwI4BkAnyml5gSxtqA4UHbA6RLIpfzJ/o7vRHQCbnNIgrkhCeaGpJgd89lt5H0DwAfNbt8L4O+wBmNZCuDBINUVNH2S+jhdArmUqlZOl0AuxG0OSTA3JMHckBSzYz5bh2sC6AfgMAAopUYBGAHgz1rrCqXUywDeDHJ9XVZTX+N0CZFj61bggQcCt/v3B95+Ozzz9nqBFSuADRuA3FygthY47TTgjDOAyy4DZs8O6eyXLAF27QKysoD8/MD0++8H5s5t40ExgN8P/OIXwO7dnXxMqJSXW6/V5s3WAkRFAcOGAZdeCnznO0CM3bdykNldweXlwBtvWMtTWAgkJABnnQXMnw9ccEHElr1lC7B8OZCZCVRVAT17AlOmAH7/GU33kW5zsrOtt8eOHUBBAVBWBigFDB4MzJgBLFgAJCa2fEyErEYKAu6rgOzSbGw4sAE7CnagoLIAZTVlUFAY3GMwZpwxAwsmLEBibOBN8OSnT2L1vtVtPt9Zvc/CX6/6azhKdwxz0za7eWr+uPd2v4eMggyUVpciMSYRfZP6Ynzf8bj1nFvRM6GnA0sTfG7ITmFlIV778jXsLdmLoqoiVNRWICYqBn279cXEvhNx3YTrMPK0kS0eU15Tjjd2voHNhzajsLIQCTEJOOv0szB/3HxcMPTU2jHa/WToAXB6w9+XACjWWu9ouO2DNdJmRKnz84LWAACPB3j6aWfmXVJifWret6/l9MJC6ycxMeSNvFdeASor7T1GR2m8+WbLBp4jjh4F7rjDWo/N7d1r/WzeDDz1lLMNPTsruKDAajkXFgam1dUB6enWz8KFwM03h6TME9kp+29/A9484WuskhLgo4+AmpoXsHUrcP758m3OihXA+++fPD0nx/pZvx5YvBhISrKmR9BqpCDgvgpYkbUC7+89+U2QU5aDnLIcrD+wHouvWIyk2CQHqotMzE3bJHlatmcZ/vT5n6Chm6ZVeCtQ4a1ATlkO5o2bZ0wjzw3ZOVJxBKu+XtVims/nQ54nD3mePHy0/yM8f9nzmNBvAgCg4HgBfpH6CxRWBnaMdd46pB9NR/rRdCycshA3n33q7BjtfircDOABpVQ9gLvQ8tDNUQDyglVYsJyWcJrTJUSGP/wBKC0F4uKsXrVw0RpYtCjQwBs5ErjmGmDQIKsrJDcXiA79ACcjRwJDhgBjxlgf7MvKOn6MrhyFV1+1elNiYqwP0I547rlAA2/UKOBHP7KK+fvfgcOHgW3bgH/+05ruFDsr+OmnAy2TceOA730POHjQWh6trcefcw4wcWLElL17d8sG3sKFwPjxwOefA++9BwAxeOIJq1etK9ucHj2sztmpU623xerVVu8eYL1VliwJNNwiaDVSEHBfZekR1wOXnnkppg6YiuioaKzOXo0NuRsAALnluVjy1ZJWP6Q9dvFj6J3Yu8W0U6ExyNy0z06e0o6kNTXwYqJicNVZV2HqgKlIjE1EUWURdhXuQkJMxPVliLkhO4kxiZg9YjamDJiCvkl9ER0VjZ0FO/HGzjfg0z7U+euwLHNZUyPv6U1PNzXwxvUZh+9N+h4Olh/E37f9HRoar2S8gnMGnoOJ/U6NHaPdRt59AFYBWAEgB8Bjzf53PYAtwSkrePI8eRicPNjpMpy1Zg3wySdAt27WMV8vvxy+eW/dah1/BliHZi5eDMTHB/5/0UVhKePFFwN/v/VWx/f3egFvzb2orweuu85afQUFoauvTTU1VrdMo5/+1GoBAIDPB/z2t9bfy5YBP/hBWBrMrerkCj7D77capYDVev7Nb4C+fa3bR44Aq1ZZLZQlS8LSOulsLjZtCvw9eXKgoZWSYh3CCQAVFUBqKjDsAtk2Z84c4PbbAz11gNUzePCg1ZMHAF99Zf32+8+IpNVIQcB9FTBn5BzcnnJ7i8bZ+YPPx8EVB5FTZr0Jvir6qtXHjukzBgO6DwhLnZGEuWmb3Tw1NgQA4J4L7sHcUS2P2b989OVhqDp83JCdMX3G4KEZD7WYljIoBdml2dicZ10CoqquCgCw/9h+bMu3dowKCr+55Dfo283aMTb2CGpoLPlqCRt5rWm42PlZSqnTtdYnHDuGOwHkt/KwFpRSMwD8CsC5AAYBWKi1fsVOHXaM7TM2VE/tDoWFgU+yd95pNQzC6ZNPAn+PHg088YTVLVJZaTX65s+3ui4izEsvAagehuHDgVtvbbkYYVVZaX1ab9T8pKzmf3s8Vktg9Ojw1SZwdvP89e8faJkAVmtkVcNhGdsj62osFRWBv088L6757YwM4NKrZNucyZNPnqYUMHRooJHXOC+f7+ym+7hoNVI7Tvl9FYDJ/U9+EyilMLTn0KYP5YkxJ59DBQB3pt6J0upSxEXHYUSvEZg7ai6uGH0FlDJ7AC3mpm128lRUWYSskiwAQFx0HMpqynDLv2/B4YrD6B7XHecNOg+3TL2lqdFgAjdmp7quGrsKd2FX0a6madMGTQMAbDu6rWla/+79W7xWE/tNbDrsc3v+qbNjtH0xdABo3sBTSvVWSp0LYK/WuqgTD+8OYBesRmG1ZP52fHHki1DPInJpDfz+91ZD4ZJLgG99K/w1NH46BYC1a4GNG63DRmtrrfPJfv/7hhZV5Ni2DVi6FNDxdXjwQesIV8ecdhqQnBy4/c47VoOutNQqsrn8Dr9jcdzA5g3W3i0PrWpx2+MBjh8PT1GdcEZgXBVs32791NZacc7ODvwvPz+42xyPJ9DxCQDTp1u/tR7YNM1Fq5HacUrvq9rhqfW0+PA2fej0Vu9XWFmIen89quqqsLtoN/6w5Q94dMOj0M23OQZibuxpK0/7jgXGDPD6vPhr+l+xv2w/vD4vSqtLkbovFbetvA35xyN/P9tZbsrOnz//M2a+OhPffvPbuG/tffDUetAzvicWTlmIa8ZeA8DqrWvUO6HljrH5odyeWg+Oe0+NHaPdi6E/BKCb1vrXDbdnAFgJoBuAw0qp2Q29fW3SWn+AhnP5lFKvSIq2Y9aIWaGeReR6912ra+H004G773amhhM/YV55pXWI5saNwMqV1rS337ZG2Gz+Sdohx48DTz5ptY9jff/EqFGhHRCmQ1FRwPe/bx3mClgnaDWepHWicJ5rKRTf/MaJA8XExra8XV0NdO8e6pI65fLLrXPvCgut1dzW28nrDd42p7ISePDBQC/ieedZh3RaAmvSRauR2nFK76vaUOmtxIMfPYgKr/UmOG/QeZgzMnA53m6x3TBnxBycM/Ac9O3WF+U15ViWuQy7i6zRsjYe3IiPcz/GJcMvcaL8sGBuOq+9PJ34of/0xNPx02k/BQAs/mIxSqpLcKzmGF5KfwmPXPxIeAsPEROy4/V54dM+xKiYFqOFxkS13DHGRrXcMVbXVaN7nPk7Rrs9ed+HdS5eo6cBfAngGgAFAB4PUl1BsyJrhdMlOKO4GPjHP6zjvR54wBrRwQnNu8EaG5vnnWf9Pr1hoFatrREsIsA//gEUFTUcOjc2TJeX6Mh111nDKPbq1XL6RRe1PL/RBZ/ka5vfOHEkmxMbqSceF+mgbt2AF16wzpFrfvRX797W4CaNuncPzjanqMgaUHVXwxEpU6da4xcF5h1Yky5ajdSOU3Zf1YaiyiLc8eEdTYdlTR0wFYtmLmpx+OUd59+BB2c8iMtHX46UQSmYPXI2nrvsuRbn5m0+tDnstYcTc9M5HeUpLrrlITs3n30zZo2YhVkjZrUY6Gfr4a3hKzrE3JSd+ePm48W5L+J3s36HmyffjMSYRJTXWpdK+ONnfwSAFoPinDhyqNfXcsfY2qUzTGS3kTcYwNcAoJTqC2AagIe11u8DeBJAUEfRUEr9RCmVppRKO5x/GLllucgqzsKuwl047DmMrXlbUV5TjrU5a+HXfizPXA4AWLrHOoxteeZyXD3maqzNWYvymnJszduKw57D2FW4C1nFWcgty0X6kXSUVJVgw4EN8Pq8WLl3ZYvnaPydmp2KSm8lNh3chILjBcjIz8C+0n3YV7oPGfkZKDhegE0HN6HSW4nU7NRWn2Pl3pXw+rzYcGADSqpKkH4k3fYy1Y2qg1/7O1ymY0f341hFEfx+P4p/dgswcyaKzp8IPPUUiqqso2pLDuyB75IZOHTHD6G76ZAsU0WvJHhqPaj31+NQohd+aGuZlMK+OGvs+qKqYvgrPKLXyT/Gb/t1Kq4qgk/7UFpdctIyFRUBJVXF+PJLP+r2puLCi+uQMr0CuYdrUFVXhUrvcSz6XS3One7B9t0V7WbPr/2oH1YfnOxdcSk2/fEeFC1+Fnt+exdyXvkjDtx0JSoqSuD1eVFeU47KYQPbfJ3qR9Z3OXuNy9TR61Trq8WxmjL4tcbWvK0tniNvkPV6lVSXor64sMXrdDR3N6rrq1HhPY6apHhsKv2yw+zpKB20ZarzeeGp9aDWV4sDZQdOep0yazZg0RNe3P7sh/if/wG+98iHePddoEjtBACUVpdg2PBa9E3q22r2/En+Tr2fsrK9uO5Hhdi7rw4VtRWY8o0y3HJvFr4uDyyTij2CY9WlADR2Hshr+Rxfbgagcay6FInd67C7zP3bvc5mz83LNLD7QBz2HIbvdJ8xyyR9nfYf24/5785Hdmk2ymvKkTIwBTdOvBF5nrwOlykuOg4+v3Xub0lVCYqriiNimTr7OvmH+G29TkOTh0b8MjmdvY9yPsLCfy/EjoIdqPPVYXjP4Xh85uP4T85/mp6jf7f+KKq0PhuVVpeiV3yvpmWqqK1AdV01quuqUVRZhPyKfMeXKRiv06R+k0Svk3+YP+zLNLDHQHxd+jUuGHoBeib0xE+n/RSl1aXw+X14e9fbyCvPQ62vtul12ndsX4tlWrNvDQCrsZ8cn9x0u73XyXe6LyJep9beT52l7ByvrpQqA7BAa71GKTUfwGsAemmt6xoO3Vytte5081gpdRzAzzsz8EpKSopOS0vrdK2Nlu5Zinnj5tl+XKRKTk6Gx+Pp+I7Z2cB//VfnnvSb30T8M8+gtra24/va9fbbwF8bLkZ7+unWMW9KWb13110XuDTAffdZx8TZFB8fb7vuG24IjJR54kWvH3ooMJLiJ2kfY0bKxW0+z9/+Zl3RoD2dfr0knn02MMLG+PHAX/4S9DpEj2tnBU/u3h07plknSUMpKx/9+lm3n3zSumYAAFx8MfDYY6Gpz37ZbTp8GPjxj4G1az/BRRfNwNNPA4e6t77N6Uyt27cDDz8cuHbfggXWiJsnjh3RvftkTJtmjVobhNVIEaBxXxXSbYYLbD+6HQ+vfxiVddabYMH4Bbg95faTBlCpqqtCUWURzujV8jB/r8+LHy7/YdO5U5edeRkeuPCB8BQfBHb3aaZ9xgm2zuap3l+P777z3abDNu/+xt24asxVAID3s97Hc589BwDo160f3rn2nTAuQehIsyP53CVVW1+L+Jj4k6av2rsKz255tun2suuXobS6FD9e8WMA1uiab1/7Nvp1s3aMT376JFbvs3aMF59xMR675LEO5x3J22KlVLrWOqWj+9m9hMJuAN9XSm0GcAuAj7XWjX2iQwEUtvlIh5yyG78+fYCf/ezk6ZmZ1tWbAesQzptvtq5Z98wzoalj7lzg9deta+KVlAB//CNw4YXAp58GGniJicAFF4Rm/g3S0qyrEQDWgBmNvv46cJTjpEnAt78NTJli3f7sB3/Hz35mNfJeey1wbtTs2cDYsdYqDosdO6x1eNFF1mvl8QDr1gVao0pZQ4A6qZMr+EBUlHXs4fbtVkP/0UeBm26yLgK3xvpmDUpZo65GTtno2RN4/HGrITVmjHX45r591mUXGh83dSowbRowDbJtzsaN1iGZ9fXW7dmzrbfKrsAgYoiLs+YfFXUgklYjBcEpu69qZmPuRiz6ZBHq/dabYPaI2bhw2IXYVRh4E8RFx2FMnzHw1Hqw8N8Lcd7g83DhsAsxqMcglNWUYdmeZS0GxzD5fDyAuWmPnTw1XhfvrV3WtXRe3/F60zlbr+94ven+s0c4fJ5+ELkhO3el3oW+3fri3IHnNh2GnVWShXd2BxraA7sPRK+EXuiV0AtTB0zF9vzt0NB4dP2juGnyTcgty23quVNQmD/u1Nkx2u3JuwzAvwHEAqgDcJnW+uOG/70BIElr/V0bzxfynrzlmcubRt4xQZe/WUhNBZ56yvq7f3+rCwAh/mbmk0+sT6+tXb4hOhr4f/8PmCU7AbizdTfvpWnL888HGngAkHhOIqq3VZ/0+M728gBB+iYoIwP45S9b/19UlPW/K68MSR2dflwnV3DyjBnwZGVZl/MoamMw3h/+sNMXdu/q+rWTi7vuAr78svX7bNr0fygsvAW9erW9zemo1uY9cG1pfMsmJycjK8sTrNVIEaAxN5H87XGoNf+2vS39u/XH29e+jfzj+bjxXze2e9/vjPkO7vrGXcEsMeTs7otN+4wTTHbyBFi9Rvesuadp4J4TjeszDs9d9pwxF0SXZiecPXm3rri1xcinJ0qIScDvZv0OUwda1w8+WnEUd6be2XRa0ol+ePYP8aMpP+rUvCN5WxySnjyt9Wql1DgA5wDI0Fo3X/OfwBqEpaPCugNoPMgtCsAwpdQUAKVa64N26umMq8dcHeynJLtmzLBGh3zzTetTckWF1Yt49tnAjTdaXRMRKCbbbkd3iAwcaF3+Ys8eq/ezrs469PWcc6xDXkeMcLpCewYOtC6b8cYbwObN1pCVCQnWNf6uvTZwnYAIM3Om1Wt26JAV4YQEYPhwq8ctLe0e9Op1C4DwbXNcuhqpDdxX2dMnqQ8emfEItuRtwd6SvSitLkVVXRV6JvTE2NPH4oqzrmjzcgsmYW6CJz4mHs9d9hyW7lmKtTlrkefJg4bG0OShmDViFq4bfx1io2M7fiKXcEN25o+bjy15W6zzc2vLUVNfg8SYRAzuMRjnDDwH3x333aZDMgFgYI+BeOmql/DGjjewOW8zCisLkRCTgNG9R+Pa8deeEtuE5mz15AVlhkpdAmB9K/96VWv9o7YeJ+3JW5uztsWQy24Xqm8WwvnNTDCFsu6kiUmo2lXVpeeIlG+CwnpOnoufLxh1tLXNCWatkbLcFDyNueFre2qzu08z7TMOhY80O279vGhXJG+LO9uTZ/ti6EqpwUqp5xpGvcxRSk1smH6XUur8jh6vtd6gtVat/PzIbi2dMW3QtFA8LZ0CovOjnS6BXIjbHJJgbkiCuSEpZsd8thp5SqkJAHYC+AGAIwDOANB4cZEzANwZ1OqCILM40+kSyKX8vf1Ol0AuxG0OSTA3JMHckBSzYz67PXl/ALAHwAgA8wA0H4N2M4BvBKmuoBmSPMTpEsil1HHV8Z2ITsBtDkkwNyTB3JAUs2M+u428CwE8qbU+DuDEk/kKAAwISlVBdKzmmNMlkEvp+PCer0pm4DaHJJgbkmBuSIrZMZ/dRl57x6/1AVDdhVpCIjbKnJGQKLyUnz15ZB+3OSTB3JAEc0NSzI757DbyPgewsI3/LQCwqWvlBJ8p1zMhB9Q7XQC5Ebc5JMHckARzQ1LMjvnsNvIeB3CVUmoNrMFXNIA5SqlXAXwXwBNBrq/LiquKnS6BXEon8nBNso/bHJJgbkiCuSEpZsd8thp5WuuPAVwDa+CV/4M18MqTAC4CcI3WemvQK+yi4b2GO10CuVSUx/YVRoi4zSER5oYkmBuSYnbMZ/tTrNZ6ldZ6NICzYA3EMk5rPVJr/WHQqwuCnYU7nS6BXMrXx+d0CeRC3OaQBHNDEswNSTE75ouRPlBrnQ0gO4i1hMT0odOdLoFcKvoIL4ZO9nGbQxLMDUkwNyTF7JjP7sXQn1dKvd7G/15XSj0bnLKCZ82+NU6XQC7lG86ePLKP2xySYG5IgrkhKWbHfHYP17waQFupWA3rfL2IcuVZVzpdArlUTI64o5tOYdzmkARzQxLMDUkxO+az28gbDOBQG//La/h/RFm6Z6nTJZBL1Y2qc7oEciFuc0iCuSEJ5oakmB3z2W3kHQMwqo3/jQJQ0bVygm/euHlOl0AuFZvNC4WSfdzmkARzQxLMDUkxO+az28hbC+BBpVT/5hMbbv8/AP8JVmHBwm8qSIo9eSTBbQ5JMDckwdyQFLNjPrsnHT0M4AsAXyulViJwiOaVAGoBPBTc8rqO31SQFHvySILbHJJgbkiCuSEpZsd8di+GfgDANADLAcwEcFfD72UApmmt9we7wK5KzU51ugRyqfrh9U6XQC7EbQ5JMDckwdyQFLNjPtvDBzY09G4OfimhcdGwi5wuIaiGDh2K5OTkoD9vYmJiSJ431EJZ9xnDz+jyc4Tq9ZLUIX1cMOuX1tHe80Xa+m1rmxPMWoO9Hsl5jbmJlEyTM+zu03SMhqpXIayITCXNjls/L9plwn5Waa3tP0gpBWA8gN4AigFkaskT2ZCSkqLT0tJsP27TwU345rBvhqAiMh2zQxLMDUkwNyTB3JAUs+NeSql0rXVKR/ezO/AKlFK3AjgKYAeADQB2ATiilPqx3ecKh1G92xoMlKh9zA5JMDckwdyQBHNDUsyO+Ww18pRSNwF4CcBOALcA+HbD750AXlJK3Rj0Crvo6PGjTpdALsXskARzQxLMDUkwNyTF7JjP7jl59wF4Q2v9gxOmv6qUeh3A/QDeCkplQdIjrofTJZBLMTskwdyQBHNDEswNSTE75rN7uOYYAP9s43//bPg/EREREREROcRuI68CwJA2/jek4f8RpcIbcSWRSzA7JMHckARzQxLMDUkxO+az28j7EMDvlFItxghXSl0A4LcN/48oA7sPdLoEcilmhySYG5JgbkiCuSEpZsd8dht59wEoB7BBKXVQKbVVKZUL4FMAnob/R5Ts0mynSyCXYnZIgrkhCeaGJJgbkmJ2zGf7OnlKqSRYI2peBOs6eaUAPgbwita6KugVNpBeJ6/SW4lucd1CUBGZjtkhCeaGJJgbkmBuSIrZca+gXydPKRWrlPoOgP5a6z9rra/XWn+r4ffiUDbwumLjwY1Ol0AuxeyQBHNDEswNSTA3JMXsmM9WT55SqhbAXK31+tCV1DppTx4REREREZEJgt6T1yAHQD9ZSc5Yumep0yWQSzE7JMHckARzQxLMDUkxO+az25O3EMAvAczWWheFrKpWsCePiIiIiIhOZaHqyZsFa7CV/UqptUqp15VSrzX7eVVUbQjxmwqSYnZIgrkhCeaGJJgbkmJ2zGe3J+8AgPYeoLXWI7taVGvYk0dERERERKeyUPXkpQAYp7Ue0cZPSBp4XbFy70qnSyCXYnZIgrkhCeaGJJgbkmJ2zNdhT55SKhrAwwDuAtADgA/A+wB+rLUuC3mFDaQ9eV6fF3HRcSGoiEzH7JAEc0MSzA1JMDckxey4VzB78m4H8AiAbQCeBfBvAN8B8HyXKgyTzYc2O10CuRSzQxLMDUkwNyTB3JAUs2O+mE7c578A/E1rfVvjBKXUbQD+rJS6TWvtDVl1QTCp3ySnSyCXYnZIgrkhCeaGJJgbkmJ2zNeZnryRAN47Ydo7AKIBnBH0ioLsQNkBp0sgl2J2SIK5IQnmhiSYG5JidszXmUZedwCeE6ZVNPzuEdxygq9PUh+nSyCXYnZIgrkhCeaGJJgbkmJ2zNeZwzUBYLBSqvnImdHNprcYfEVrnROUyoKkpr7G6RLIpZgdkmBuSIK5IQnmhqSYHfN1tpG3pI3py1uZFt3KNMfU+eucLoFcitkhCeaGJJgbkmBuSIrZMV9nGnkLQ15FCJ2WcJrTJZBLMTskwdyQBHNDEswNSTE75uuwkae1fjUchYRKnicPg5MHO10GuRCzQxLMDUkwNyTB3JAUs2O+zgy84mpj+4x1ugRyKWaHJJgbkmBuSIK5ISlmx3zGN/K+OPKF0yWQSzE7JMHckARzQxLMDUkxO+ZTWmuna+iUlJQUnZaWZvtxfu1HlDK+LUshwOyQBHNDEswNSTA3JMXsuJdSKl1rndLR/Yx/dVdkrXC6BHIpZockmBuSYG5IgrkhKWbHfMb35BEREREREZmgsz15nb1Onmst3bMU88bNC+s8J0yYgEOHDoV1nnYMHToUu3fvbvP/kVh/VFQU/H5/WOdZN6oOsdmxHa6vzujKOnVi2cNRR6QsV7A15obMFYrsnuq5MXV7EGqhyM2p9FoEY//uVk58PqbwMr6R50SADx06BI/HE/b5dlZycnK7/4/E+uPj41FbW+vIvDtaX53RlXXq5LKHso5IWS4iu5jd4OM6jRyn0msRjP27W7GBZz7jz8lbnrnc6RLIpZgdkmBuSIK5IQnmhqSYHfMZ38i7eszVTpdALtfNpQoAACAASURBVMXskARzQxLMDUkwNyTF7JjP+Ebeuv3rnC6BXIrZIQnmhiSYG5JgbkiK2TGf8Y28aYOmOV0CuRSzQxLMDUkwNyTB3JAUs2M+4xt5mcWZTpdALsXskARzQxLMDUkwNyTF7JjP+EbekOQhTpdALsXskARzQxLMDUkwNyTF7JjP+EbesZpjTpdALsXskARzQxLMDUkwNyTF7JjP+EZebNSpe3FZ6hpmhySYG5JgbkiCuSEpZsd8xjfyEmISnC6BXIrZIQnmhiSYG5JgbkiK2TGf8Y284qpip0sgl2J2SIK5IQnmhiSYG5JidsxnfCNveK/hTpdALsXskARzQxLMDUkwNyTF7JjP+EbezsKdTpdALsXskARzQxLMDUkwNyTF7JjP+Ebe9KHTnS6BXIrZIQnmhiSYG5JgbkiK2TGf8Y28NfvWOF0CuRSzQxLMDUkwNyTB3JAUs2O+GKcLCLUrz7rS6RK6ZMkSYNcuICsLyM8PTL//fmDu3Jb3zckBPvgAyMwEsrOB2lprev/+wNtvh6/mJtnZwIYNwI4dQEEBUFYGKAUMHgzMmAEsWAAkJoa8DDvrcOVK4NNPgdxcoLz8SvzRC1RXv4k77wQuvhi4+mogJhTvmoIC60VKTwcKC4G6OqBHD2DECFzm9wNaW+tOwM7yP/kksHp1689TV7cat90G/PWvXZ9XRob1fDNntl/7ZZcBDzzQ/n0ijZPbnOzSbGw4sAE7CnagoLIAZTVlUFAY3GMwZpwxAwsmLEBibOA9l3MsBx98/QEyizORXZqNWp+10ejfrT/evtaJjcapK9i5sZOFen89UrNTkZGfgezSbJRWl6K6vhrJ8ckY32c8rh1/Lc4ecHZQ6zON3ffeyr0r8enBT5FbnovymnJ4fV50j+uOM3qegYuHX4yrx1yNmKiOdzZu/4wD2F93gNVAWZ29GjllOaiorUB0VDT6deuHqQOm4saJN2Jgj4EOLY17mJAdap/xjbyle5Zi3rh5Tpch9sorQGVl5+67bRvwr3+FtBx7VqwA3n//5Ok5OdbP+vXA4sVAUlJIy7CzDteuBb780vq7qKoIfZP6Qutk7NhhtVXT04EnnghygQUFwH/9F1BR0XJ6eTmQkYG7fT7ghReAu+4SPb2d5e+qYM8rJA3qEHNym7MiawXe33vyey6nLAc5ZTlYf2A9Fl+xGEmx1ntu29Ft+NeeSNponLqCnRs7WfDUevCHLX846b6l1aX49NCn+PTQp7jngnv4obAddt97a3PW4suCL1vct7y2HDsKd2BH4Q6kH0nHE7M73tm4/TMOYH/dLf5iMd776r0W9/X5fMjz5CHPk4d1+9fhf6/8XwxJHhKW+t3KhOxQ+1z4Ecoetwd45EhgyBBgzBjrA3RZWdv37d4dOO88677l5VYby3E9egCXXgpMnQpER1vdRBs2WP/LzbW6fm6+OaQl2FmHo0YBZ58NjBgB9OzZF6WlwOWX7wUwAwCweTOQl2c9X9CsXBlo4CUlAT//OdC3L7BsmTVDwGos33abqOfTzvI399hjQO/egdvnnHM37rtvW1DmNXo0EB19N158seXzlZUBjz5qdVwCwCWXdK7WSOL0NqdHXA9ceualmDpgKqKjorE6ezU25G4AAOSW52LJV0tw89nWe657XHecN+g8jOkzBuU15VixNxI2GqemUOTGThYAYHK/yZg1YhaGJA9BnicPr3z5CspqrDfx4i8W41sjv4X4mPig12kKO+t7VO9ROLv/2Rhx2gj0jO+J0upSLPlqCTJLMgEAm/M2I8+T12FDxentTbB0dt3V1tdiWeaypsddNOwiXD3mahRWFuJPn/8JNfU1qKyrxKq9q3Bbym0OLY07mJIdapsjjTyl1E8B3AtgIIDdAO7SWm8Mxbzc/k3Fiy8G/n7rrfbvO3du4JC41NQIaOTNmQPcfnvLnrrzzwcOHrR68gDgq69CXoaddfjznwf+XrpnKebNnoe4uL8AuLVpelVVcOvD8eOBv1NSgMsvt/7u0SPQyPP7rR8BO8vf3JgxwIABgdtRUbtx5pnBmVe3btbzTZrUcvrLLwcaeGeeaa0Ot3FymzNn5BzcnnJ70zfeAHD+4PNxcMVB5JRZ77mvigLvubmj5mLuKGujkZqdykaeg4KdGztZSIhJwAtzX8Dk/pOb7nvuoHPRO7E3HtnwCACgur4a+8v2Y2yfsUGr0SR233s/P+/nJz3HsJ7D8JOVP2m6XVXX8c7G7Z9xAHvrrqa+BvX++qb7LZyyECNOGwEA2Ji7EZ8d/gwAWtyHWmdCdqh9YR94RSl1PYAXAPwOwFQAmwF8qJQaFor5McAOmjz55EMxlQKGDg3cDsM5eVLXjJmHggKgvv6Kpml9+gDDhwd5RtOmBf5OSwM+/ND6/dprgenTp1stozC6807gW98CrrjCavz6/d9uaoCFQm0t8O9/B24vWBC6eYWSk9ucyf0nt/igBABKKQztGXjPJcZE7nvuVBbs3NjJQlJsUosGXqPm921+fzpZV957fu1HwfECLM9c3jStT1KfTl3HzITPOHbWXc+Enhjde3TT9JczXkbakTR88PUHyCjIAABEq2jMGjErDJW7mwnZofY5Mbrm3QBe0Vr/TWu9R2t9B4CjAP47FDNLzU4NxdOSlMdjnTzYaHrkDeF7/DgwcyYwdXoJbrgBqK+/FEpZbdannwbi4oI8w+nTgZ/9zOq5q6qyZnLvvVYvXkwM3o6KAh55JMgz7VhhIVBfb5W0ezfg893Z4lDKYFu92jrMGLCOVp3l0n10pG1zPLUebDsaeM9x2OzIFI7c2M3C+v3rm/4ekjwEw3qG5LtYY3W0vo97j2PmqzMx+7XZuOFfN+CD7A+goDC532Q8PedpxEV3vLOJtO1NsLS37hbNXISpA6YCADYe3Ih7/3Mvntn8DGrqazDm9DF4/rLnMa7vuLDX7DamZocCwtrIU0rFATgXwInjtq4BEJJPHhcNuygUT0sSlZXAgw8Gzj877zzrkM4I1TOh10nTGkcsDbq+fa2fE9XXY4bW1nCVYdCtm/WS3Hcf8MwzwEMPARMmBP6/cSPw8cfBn6/WwHvNzqOfN8+dg64AkbXNqfRW4sGPHkSF13rPnTfoPMwZGbnvuVNZqHNjNwvr9q/DP3f+EwAQExWDX13wKyjhCL+noq6+9xpHuu1IJG1vgqWjdZcUm4TBPQYjNir2pMfuO7YPa3PWos5XF7Z63crE7FBL4e7J6wMgGkDBCdMLAAw4+e5dl5GfEYqnJbuKioA77rDG1wesgVgWLRJfFiCUkpKsc8sW3rcTv/41EBW1E1pbo2veeSdw+HCQZ/jRR9YoJzk51qgl//iHdVLlr38NKIVBWlvXICguDvKMT3bHHVY7/PLLrfPhZs8Gnnuu5bl5jacJBlPjgDaAtf6vuir48wiXSNnmFFUW4Y4P78CuIus9N3XAVCyauYgf1CNUKHNjNwvv7X4Pv/3kt/BrP2KjYvHYxY/xEgo2dHZ9J8Um4cW5L+K5S5/Dry/8Nab0nwINjR2FO3Bn6p047Ol4ZxMp25tg6Wjd+fw+3Jl6J1Z+vRJ1/josnLIQq763Cm/NfwsT+05Evb8eK/auwF/T27nWDwEwLzt0Mqcuhn7iAV+qlWlQSv1EKZWmlEo7nH8YuWW5yCrOwq7CXTjsOYyteVtRXlOOtTlr4df+puPZl+5ZCgBYnrkcI08bibU5a1FeU46teVtx2HMYuwp3Ias4C7lluUg/ko6SqhJsOLABXp8XK/eubPEcjb9Ts1NR6a3EpoObUHC8ABn5GdhXug/7SvchIz8DBccLsOngJlR6K1E/vL7V51i5dyW8Pi82HNiAkqoSpB9Jt71MxVVFADS2H93e7jJ5ajwoqzkGrf04UnG4xXPUjaprd5n8Pf0nLVNjt75kmTI2L4P39p+g9Ktt0AD2TBwAPPUUluasanqd/Nrf7uvkH+APyutUU1+D8ppy+LQPaUfSWn2OD7JXYsz/b+/eg6u86zyOf74Ewj0BREAKC7UgXSwt1tRh2tqyi7pepot13Up1sTqObjs6s3V31LqzbLXO6nZ01TpTdVzrfbWXadqlxYUqVQvUVkJhoS2Ui2BhC+EWCgSSkOS3fzwnFyDXL+ec5zy/837NMCSHk+R7znnnSX485zzP3BZVX/xHvfnaIxo6/Q6NHt+oU2dOqeHkSd3/aMOA2ut+m9qmtPXa3r6f3qv2EHT41BFp8WLVNm+Shg9X7fSTydFHRkptpxv14vL7+m2vv8fpYONBnWk/oxPNJ1R/sn5A7T2+q1ZveIOkUcm37qbdewb0/dQe2nTkVLIwXffyuvMepzAsdD5O9/7wkE63ntbp1tO64q17dTLkp73BPk752EYcPX30gh+nC71Nu47u0vsfer92HN2h483HdeWUK7X08qXac2xPn7fpUOMhSdK+4/sG9P1UzNuU78fpQm5T+6z2vN+m483HC3KbVmxfoY8t/5g2HdiktvY2TRs7TXe/7W6t2LHivMepubVZt6+8Xfc8e4+ONx/XEA3RbTW3qXpEdcEfp/Y57Xl/nNJo76XDL+nGB27U7mO7dajxkBbOWKgF0xZo+NDh592mzfWbNWrYKFUNr9Kk0ZP0mas/oyEaorb2Nh04eUCrdq3q9zY1nmnM+20KVaGo308dt+kXW36hjz/2cW2u36ym1iZd9trLtPTypTp86nDnbfrehu9pT8MeHT51WGMqx2hM5RiNGjZKz+x7Rje98SY1nG5Qa3urHt76cKrbiCxs94YOGRrdbYrxcerpNg2UhUIeSeHcL5Y8XfOUpJtDCA91u/xeSZeFEK7v7WNrampCXV3doL/mpgObNH/KfM+4blVVVTp+/HjeP++SJckp1aSeT2Td3cqV0t13J2+fezL0/ubL6/wbN0rLlnWdPO2mm5Ijbg5yb8Lw4cPVnIfnSvZ1HzY3J6+36xito52xY6v1nve82vlxixcP/pR1fd6nH/6wtHdv8vZHP9p1SokQpA99SL+9/34tvP765BQKS5YM7gufo6/bf+pUssN1xoyzP6alRbrlFumBB36r669fOOATlPfXa8djum2bdFvuFbkVFdLPfy5NmuS7faUgjW1Odxv3b9Sy3yxT45nke+6muTfp1ppb+92Dt3LnSt29LtlocDL0vuVre9RdIboZTAtn2s7oy2u+3HnY+kmjJ+nut909oIN/5EMh7tNiG+j93dzarMqKyvMubw/t+uDDH1R9Y7LhXDxnsW5f0PcPm0J0k8ZjMdD77sndT+pLT30pmbNiuB67+TENq0ietvnErif0lbVf6fy3lX/X/2vOCvX7Whak/bMKfma2IYTQ7/HHi/qqlxBCi5ltkPR2Sd3PZPl2SQU5I+/YyrGF+LRFU1cnNTUlb3ff5u7YkZwXT5LmzZOqq5MDZWzf3vXvHZqbpbVrk7erqws/c6c1a5KnZLbmDmW8aJF07bVdT9mUklXVnDkFHWOg9+GWLcm52RctSo6g2VjxGh15QWpu/rfOxYokzZ2b5wEvuaRrkffQQ9K4cdLUqcmL3/bv77qe834a6O0/fTpZY77lLcnDNHVqct66Rx6RDhzo+ri+zl03mF47PPjg2Z87yws8Kd1tzpo/rdFdT93VefjwRRcv0rV/dq2eP9j1PVdZUak5E5OWDjYe1PYjyUZjx5GujUZzW7PWvpxsNKqHV2ve5HPOdYG8y3c3g2mhubVZn/3VZ7X54GZJyfkTb6u5TSeaT2hL/ZbO60+vnq5xPbxWGYO7v9e/sl7fXv9tLbp4kWaOm6kJIyfo6OmjWrFjRecCT5Lmvrb/HzZZ/x1HGtx9d8n4rvP4NLc1667f3aUb5tygV5te1X0b7+v8tzmvKezvFTGIoR30LY1DG3xd0k/N7A+S1km6VdJUSd9NYZaS97Wv6awFRofa2uSPJH3jG9L8+clBKzv23nV37FiyM01KTvRdNOvWdS3wpOS1Z6tXn32dc3czFsBA70MpWVP9LDnWgE63TtTIoVJ7e9ehxa++ugDHivnIR6QNG5ID0pw82TVMd9ddl7yO0WGgt3/KlGTn4bPPJn96snixtGDBhX+t+bn/PKyvP/tALh/4QP+3B71bt3fdWeeHWr17tVbvPvt7rvteuuf2P9e59667Y03HtOw3yUbjislX6Jvv/GYBp0YhDKaFhqaGzgWelBz18Yu/++J5n/Nz13yu87yKONtgv/f2n9zfeWCbnlw97eqyOUjSYO67GeNm6IY33KDHtj8mSVq7d63W7l171nWHVwzXrTW3Fn5woMQVfZEXQnjAzF4j6V+UnAz9eUnvDiH8qRBfr+PoTEB/Zs1Kjur44ovJ4uP0kVYNGyaZHdI11yR7+BYuLMCxYmbMkL7/femBB5LF3oED0pkzyaEuX/963bN2rRbeeWeev+j5Jk5MztTw+98ne4SPHk2ewlldLV16qbR27Z26/fb8Hlrz4Ye7zvH+pjdJs2f3ff0sYJsDD7opH7MmzNL7Ln2fXjz0ouob63Wi5YRMpvEjx2v2hNladPEiLZy5cEAHSSrHbj694NO6fPLlWrVzlXY27NSJ5hMaYkM0afQkzZ8yX0suW6JpVdPSHrPklWM75aaor8m7EN7X5NWfrNfkMZMLMFHvSv053kV9TV6epPEagY528nF/XMjnKJXXquR7jlK5XfmWxjYHxVWIdsu9m1i3B4VWiG7K6bEoxd93iqXctzlZNtDX5KV1dM2i2Xl0Z9ojIKNoBx50Aw+6gQfdwIt24hf9Io8jB8GLduBBN/CgG3jQDbxoJ37RL/LWvLwm7RGQUbQDD7qBB93Ag27gRTvxi36Rx5HA4EU78KAbeNANPOgGXrQTv+gXeR1nkQcGi3bgQTfwoBt40A28aCd+0R9dMw2lfrQmjq45OBxdszBzlMrtAgaLdvOP+7R0lNNjUYq/7wD94eiaOfxPBbxoBx50Aw+6gQfdwIt24seevAIo9f8ZYk/e4LAnrzBzlMrtAgaLdvOP+7R0lNNjUYq/7wD9YU9ezuPbH097BGQU7cCDbuBBN/CgG3jRTvyiX+S945J3pD0CMop24EE38KAbeNANvGgnftEv8p7e+3TaIyCjaAcedAMPuoEH3cCLduIX/SJv3qR5aY+AjKIdeNANPOgGHnQDL9qJX/SLvD3H9qQ9AjKKduBBN/CgG3jQDbxoJ37RL/ImjpqY9gjIKNqBB93Ag27gQTfwop34Rb/Ia2ptSnsEZBTtwINu4EE38KAbeNFO/KJf5J1pP5P2CMgo2oEH3cCDbuBBN/CinfhFv8gbP2J82iMgo2gHHnQDD7qBB93Ai3biNzTtAQpt3/F9uqjqoqJ+zenTp6uqqqqoX3Mwpk+f3u+/l9r8I0eOLPpMbVPaVHGgot/7ayAu5D5N47YXY45SuV351tEN4lWIdsu9m1i3B4VWiG7K6bHIx8/3rErj92MUl4UQ0p5hQGpqakJdXd2gP+7VpldVPaK6ABMhdrQDD7qBB93Ag27gRTvZZWYbQgg1/V0v+qdrrn9lfdojIKNoBx50Aw+6gQfdwIt24hf9nrz20K4hFv1aFgVAO/CgG3jQDTzoBl60k13syctZ/tLytEdARtEOPOgGHnQDD7qBF+3EL/o9eQAAAAAQA/bk5dRurU17BGQU7cCDbuBBN/CgG3jRTvzYkwcAAAAAGcCevJxHtz2a9gjIKNqBB93Ag27gQTfwop34Rb8nj6MHwYt24EE38KAbeNANvGgnu9iTl/Pk7ifTHgEZRTvwoBt40A086AZetBO/6Bd5V029Ku0RkFG0Aw+6gQfdwINu4EU78Yt+kbft8La0R0BG0Q486AYedAMPuoEX7cQv+kXetKppaY+AjKIdeNANPOgGHnQDL9qJX/SLvIamhrRHQEbRDjzoBh50Aw+6gRftxC/6Rd6wIcPSHgEZRTvwoBt40A086AZetBO/6Bd5I4aOSHsEZBTtwINu4EE38KAbeNFO/KJf5B0+dTjtEZBRtAMPuoEH3cCDbuBFO/GLfpE3c9zMtEdARtEOPOgGHnQDD7qBF+3EL/pF3paDW9IeARlFO/CgG3jQDTzoBl60Ez8LIaQ9w4DU1NSEurq6QX9cS1uLKisqCzARYkc78KAbeNANPOgGXrSTXWa2IYRQ09/1ot+T98SuJ9IeARlFO/CgG3jQDTzoBl60E7/o9+QBAAAAQAzYk5dTu7U27RGQUbQDD7qBB93Ag27gRTvxY08eAAAAAGQAe/Jy+J8KeNEOPOgGHnQDD7qBF+3Ejz15AAAAAJAB7MnLWblzZdojIKNoBx50Aw+6gQfdwIt24hf9nrzGlkaNrhxdgIkQO9qBB93Ag27gQTfwop3sYk9ezqYDm9IeARlFO/CgG3jQDTzoBl60E7/oF3mzJsxKewRkFO3Ag27gQTfwoBt40U78ol/k7T+5P+0RkFG0Aw+6gQfdwINu4EU78Yt+kTe2cmzaIyCjaAcedAMPuoEH3cCLduIX/SIPAAAAAMpJ9Iu8Ey0n0h4BGUU78KAbeNANPOgGXrQTv+gXea8b87q0R0BG0Q486AYedAMPuoEX7cQv+kXezqM70x4BGUU78KAbeNANPOgGXrQTv+gXefOnzE97BGQU7cCDbuBBN/CgG3jRTvyiX+SteXlN2iMgo2gHHnQDD7qBB93Ai3biZyGEtGcYkJqamlBXV5f2GAAAAACQCjPbEEKo6e960e/Jq91am/YIyCjagQfdwINu4EE38KKd+LEnDwAAAAAygD15OfxPBbxoBx50Aw+6gQfdwIt24seePAAAAADIAPbk5Ty+/fG0R0BG0Q486AYedAMPuoEX7cQv+j15LW0tqqyoLMBEiB3twINu4EE38KAbeNFOdrEnL+fpvU+nPQIyinbgQTfwoBt40A28aCd+0S/y5k2al/YIyCjagQfdwINu4EE38KKd+EW/yNtzbE/aIyCjaAcedAMPuoEH3cCLduIX/SJv4qiJaY+AjKIdeNANPOgGHnQDL9qJX/SLvKbWprRHQEbRDjzoBh50Aw+6gRftxC/6Rd6Z9jNpj4CMoh140A086AYedAMv2olf9Iu88SPGpz0CMop24EE38KAbeNANvGgnftEv8vYd35f2CMgo2oEH3cCDbuBBN/CinfhFv8i7dOKlaY+AjKIdeNANPOgGHnQDL9qJX/SLvPWvrE97BGQU7cCDbuBBN/CgG3jRTvwshJD2DANSU1MT6urqBv1x7aFdQyz6tSwKgHbgQTfwoBt40A28aCe7zGxDCKGmv+tF/+guf2l52iMgo2gHHnQDD7qBB93Ai3biF/2ePAAAAACIAXvycmq31qY9AjKKduBBN/CgG3jQDbxoJ37syQMAAACADGBPXs6j2x5NewRkFO3Ag27gQTfwoBt40U78ot+Tx9GD4EU78KAbeNANPOgGXrSTXezJy3ly95Npj4CMoh140A086AYedAMv2olf9Iu8q6ZelfYIyCjagQfdwINu4EE38KKd+EW/yNt2eFvaIyCjaAcedAMPuoEH3cCLduIX/SJvWtW0tEdARtEOPOgGHnQDD7qBF+3EL/pFXkNTQ9ojIKNoBx50Aw+6gQfdwIt24hf9Im/YkGFpj4CMoh140A086AYedAMv2olf9Iu8EUNHpD0CMop24EE38KAbeNANvGgnfpk5T56ZHZL0J8eHTpR0OM/joDzQDjzoBh50Aw+6gRftZNeMEMJr+7tSZhZ5XmZWN5ATBgLnoh140A086AYedAMv2olf9E/XBAAAAIBywiIPAAAAACJSDou876U9ADKLduBBN/CgG3jQDbxoJ3LRvyYPAAAAAMpJOezJAwAAAICyEfUiz8zeaWYvmdlOM7sj7XlQusxsj5ltMbNNZlaXu2yCmf3KzHbk/h6f9pxIn5n9wMwOmtnz3S7rsRVLfCu3DdpsZlemNznS1Es3XzCz/8ttdzaZ2bu7/dvnc928ZGZ/lc7USJuZTTez35jZVjN7wcz+IXc52xz0qo9u2OaUkWgXeWZWIeleSe+SNFfSzWY2N92pUOL+IoQwv9shhe+QtDqEMFvS6tz7wI8kvfOcy3pr5V2SZuf+fELSd4o0I0rPj3R+N5L0jdx2Z34I4ZeSlPtZtUTSG3Mf8+3czzSUn1ZJ/xRC+HNJCyR9MtcH2xz0pbduJLY5ZSPaRZ6kt0jaGUL4YwihRdL9khanPBOyZbGkH+fe/rGk96Y4C0pECOEpSUfPubi3VhZL+klIPCNpnJm9rjiTopT00k1vFku6P4TQHELYLWmnkp9pKDMhhP0hhOdyb5+QtFXSRWKbgz700U1v2OZEKOZF3kWS9nZ7f5/6DhzlLUh6wsw2mNkncpdNDiHsl5INpqRJqU2HUtdbK2yH0J9P5Z5W94NuTwmnG5zHzGZKepOkZ8U2BwN0TjcS25yyEfMiz3q4jEOJojfXhBCuVPJUl0+a2XVpD4QosB1CX74j6RJJ8yXtl/QfucvpBmcxszGSHpZ0ewjheF9X7eEy2ilTPXTDNqeMxLzI2ydperf3p0l6JaVZUOJCCK/k/j4o6RElT1Oo73iaS+7vg+lNiBLXWytsh9CrEEJ9CKEthNAu6T/V9fQoukEnMxum5Bf1/woh1OYuZpuDPvXUDduc8hLzIm+9pNlmdrGZVSp5QenylGdCCTKz0WY2tuNtSe+Q9LySXm7JXe0WSf+dzoTIgN5aWS7pw7kj3i2Q9GrHU6yAc14rdaOS7Y6UdLPEzIab2cVKDqLxh2LPh/SZmUm6T9LWEMLXu/0T2xz0qrdu2OaUl6FpD1AoIYRWM/uUpFWSKiT9IITwQspjoTRNlvRIsk3UUEk/DyGsNLP1kh40s49JelnS36Y4I0qEmf1C0kJJE81sn6Q7Jf27em7ll5LereRF7KckfbToA6Mk9NLNQjObr+RpUXsk/b0khRBeMLMHJb2o5Ch5nwwhtKUxN1J3jaSlkraY2abc50YW7QAAAnlJREFUZf8stjnoW2/d3Mw2p3xYCDzlFgAAAABiEfPTNQEAAACg7LDIAwAAAICIsMgDAAAAgIiwyAMAAACAiLDIAwAAAICIsMgDAETLzMIA/uzJXfdHHW8DAJBlnEIBABCt3Amhu3tE0v9K+kK3y5pDCBvN7BJJVSGEjcWaDwCAQoj2ZOgAAIQQnun+vpk1Szp87uW56+4q2mAAABQQT9cEAEDnP13TzGbmns55q5l9xcwOmNkJM/uZmY0ys1lmtsrMTprZTjO7pYfPeYWZLTezBjM7bWbrzOytRb1hAICywyIPAIC+fV7SVEm3SPpXSR+Q9F0lT/1cIelGSZsl/dDM3tjxQWZ2paSnJU2Q9HFJfyPpiKRfm9mbi3kDAADlhadrAgDQt10hhI69dKtye+KWSloaQviZJJlZnaS/lvR+SS/krvtVSS9L+ssQQkvueqskPS9pmaT3Fu8mAADKCXvyAADo2/+c8/623N+rOi4IITRIOihpuiSZ2UhJ10t6SFK7mQ01s6GSTNKvJV1X6KEBAOWLPXkAAPSt4Zz3W/q4fETu7QmSKpTssVvW0yc1syEhhPZ8DQkAQAcWeQAA5N8xSe2S7pX0k56uwAIPAFAoLPIAAMizEEKjma2RdIWk51jQAQCKiUUeAACF8Y+SnlJysJb7JO2XNFHSlZIqQgh3pDkcACBeHHgFAIACCCE8J+kqJadN+JakJyTdI2meksUfAAAFYSGEtGcAAAAAAOQJe/IAAAAAICIs8gAAAAAgIizyAAAAACAiLPIAAAAAICIs8gAAAAAgIizyAAAAACAiLPIAAAAAICIs8gAAAAAgIizyAAAAACAi/w8cxvSE4sPfoQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Schedule the second dag around the constraints of two previously scheduled dags with a time offset of 30\n",
    "\"\"\"\n",
    "sched, _, _ = heft.schedule_dag(dag2, \n",
    "                                communication_matrix=comm_matrix_2, \n",
    "                                computation_matrix=comp_matrix_2, \n",
    "                                proc_schedules=sched, \n",
    "                                time_offset=30)\n",
    "gantt.showGanttChart(sched)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2, 0],\n",
       "       [0, 0],\n",
       "       [2, 1],\n",
       "       [1, 0],\n",
       "       [2, 2],\n",
       "       [1, 1],\n",
       "       [2, 3],\n",
       "       [0, 1],\n",
       "       [1, 2],\n",
       "       [1, 3]], dtype=uint8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Assuming no existing schedules, give an example of the new array output format\n",
    "\"\"\"\n",
    "sched, _, new_format = heft.schedule_dag(dag1, \n",
    "                                         communication_matrix=comm_matrix_1, \n",
    "                                         computation_matrix=comp_matrix_1)\n",
    "new_format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/L8gu9n6HX5a0RNLjfd3pnHunc67OOVe3cctGrd29VisbVmrZtmXa2LRRizYsUmNzo+aunquCL2jGihmSwjk9JGnGihkq+ILmrp6rxuZGLdqwSBubNmrZtmVa2bBSa3ev1eJNi7Vj/w7NWzNPrR2tmvXsrF5/o+v37PrZ2te6TwvWLZAf7rVkyxKt2rlKq3au0pItS7R171YtWLdA+1r3aXb97D7/xqxnZ6m1o1Xz1szTjv07tHjT4kyvyctr54Fdai+0a8X2FSV5TVv3bi3qNRWmF8rymsqxnIp9TZmWU8c6NZ51muZO3KfC296qx193kSRp+/7t0i9/qZ8tfeBPr2lPy540XlPG5VQ4sZDL17RlyolqamlSe6FdOw/sUmHnjopmrzChkKvl1PM1/XHOD9S28o/a1bxbhcGDNPuC4bnIXmFKoXraiCKX09a9W9ReaFdTS5Ma9jf0+ZoefX6evvJf7frM3Q3yXtrjN+vzn5e2Hh/+1mNrH8vVa8qynA5et5R7OTU271ZLR4uaWpq0r3Vfr9c0cWJnWy6pYf92TTyp+zXtGLBMLR0t2te6Vzua9mnNrmPPXmFs4bCvqeu8vKVcTr9a9auyf572tu7R3tY9au1o1TPbnun1mu6Z8YjWrAnv8ahR0vEvnaVBQ1u1onmeXnNTo/a07FFze7Nmzt6Tm+8RhbGFpD5PpWz3Hq5/uOpeU+rLqVjO+zi7HjrnviTpNkkv996vPtrja2pqfF1dXfkLK8LIM0dq36qI56y77bZwvJFU8ZOhDx06VC0tLRX7f7nT0tL3iMdDD4Xjvro8+GCY6VHhoOULT7qwQgVWXvRMPPtsmDny4PO7zZzZvcldqvhJvrO+LxXJy0c/2j0MccMNYfrAHIiepQiO1py3tUn/+q/SvHnh+oQJYeKPnmcFqYY2ptLL/kjve3u79Gd/1r3b5t//fZjPSQpzFX3pS+HyhAnSj3987LWMGTNGTU1N5vuyqkRejvT+PvKI9JnPhMtDh4b3tGu3zTlzpH/7t+77Zs8ua5lFK8dySEU1tC/Vxjm32Htfc7THRdld0zl3j0IH71XFdPDyxu2LsLtmXV04tkgKHY0uzz0njRoVLl9wQZpnZk3JnXeG8+O9+MXdHYaVK3uv6U8++U8dPEk6edTJFS6yn6mtlRYvlq65JnwGhgwJ5y7suUymT09mhoSy52XtWun3vw+XnZNuvbW8/w+HKLY5HzZM+vCHpaefDreNGiX9zd+E+YWWLu1+3ohx+d8NOQ8sq9HXva77NADf+173/d/7Xvfzrr66/DWXQ7namGLf3zPP7L6vpSUcSv2614UjHr75ze77pk8vS5kw4jtMuireyXPOfVmhg3el935Fpf9/KRSOK1T+n959d/dmsZ5qa7tnyLvnnnCSbpRPW9uhU4H1NGyY9KEP9bqpfme9Jo6aWIHi+rGGBulHPwo/BzvuuDBylYiy5+X++7tPAHbZZYfOx4+yK7Y5P+mk7g6eFEaWPv3pQ593wx3b9cHbJ5Sn2CpiWY2+9a3hvX/mmTA/0V139X7OueeGY/VSVK42xvL+vu51YQRPkn772/DT09Ch0rvfXfISkQHfYdJV0U6ec+6/FWbUvEnSLudc16b1vd77vYd/Zr4M3BbhZOjIh1tukR5/PJz8vLExbLYcPjxME3bxxWEfnwm9v2yxm0OZ/fmfhwlV6uqkLVvCtHeDBoXbXvKSMFLVY2Q178qal927pV/9qvs6Jz+vCmeOO/PoD4LJ0KFht8za2jDT44YNYdvI5MlhEpY3vrHvmSFTkId10gc+EM4B+fDDYXW6Z480YEBYfV54Ydjdc9Kk2FVCykdekE1Fj8lzzh3un33ae/+pIz03T8fkjXjhCO1/en/sMqLoj8fMHKvZ9bN1/bTqnZ6eTPQt6/tS7Xk5ErKUTTVkpj8v+0ofk1cNeam0/nxMHnnJn1wek+e9r4pzDwxaE/vME0gJjSMsyAusyAwsyAssyEu6Yp9CIUldUxoDxeiaGhcoBnmBFZmBBXmBBXlJV7RTKFjlaXfN/jxs3593qUHfyETfeF/seM/6r/687Cu9uybsWA7Ik2J312QkLwNG8mDBVjBYkBdYkRlYkBdYkJd0MZKXQX/eotOft7aib2Sib7wvdrxn/Vd/XvaM5OUfywF5wkheGbVPbY9dAhIy69lZsUtAQsgLrMgMLMgLLMhLuujkZTBwDefJQ/GuPfPa2CUgIeQFVmQGFuQFFuQlXXTyMug4pSN2CUjIwvULY5eAhJAXWJEZWJAXWJCXdNHJy2BgAyN5KN4FEy6IXQISQl5gRWZgQV5gQV7SRScvg8KYQuwSkJA1u9fELgEJIS+wIjOwIC+wIC/popOXgTvgYpeAhIwfMT52CUgIeYEVmYEFeYEFeUkXnbwsBsUuAClpbm+OXQISQl5gRWZgQV5gQV7SRScvAz8gjXMLIh/aCm2xS0BCyAusyAwsyAssyEu66ORl4FrYXRPFGzdsXOwSkBDyAisyAwvyAgvyki46eRn4UYzkoXgbmjbELgEJIS+wIjOwIC+wIC/popOXwYCdvG0o3jnjz4ldAhJCXmBFZmBBXmBBXtJFbyWDjpM4GTqK98SmJ2KXgISQF1iRGViQF1iQl3TRyctg4DpOho7iXXXGVbFLQELIC6zIDCzICyzIS7o4GUAGx73kOI0ZMyZ2GVEMHz683772rNqmtWlw/eDYZZQNmehb1vel2vNyJGQpm2rITH9e9pMnTz7ifaV+X6ohL5V2pGVU7WaunKmbzrkpdhnIwHmfxiQiNTU1vq6uLnYZAAAAABCFc26x977maI9jd80MapfXxi4BCSEvsCAvsCIzsCAvsCAv6WIkDwAAAAASwEheGc1YMSN2CUgIeYEFeYEVmYEFeYEFeUkXI3kZFHxBAxz9YxSHvMCCvMCKzMCCvMCCvOQPI3ll9Mjzj8QuAQkhL7AgL7AiM7AgL7AgL+mik5fBJadcErsEJIS8wIK8wIrMwIK8wIK8pItOXgYrGlbELgEJIS+wIC+wIjOwIC+wIC/popOXwaQxk2KXgISQF1iQF1iRGViQF1iQl3TRyctgV/Ou2CUgIeQFFuQFVmQGFuQFFuQlXXTyMhg8YHDsEpAQ8gIL8gIrMgML8gIL8pIuOnkZDBs0LHYJSAh5gQV5gRWZgQV5gQV5SRedvAwa9jfELgEJIS+wIC+wIjOwIC+wIC/popOXwZTjpsQuAQkhL7AgL7AiM7AgL7AgL+mik5fB0m1LY5eAhJAXWJAXWJEZWJAXWJCXdDnvfewailJTU+Pr6upilyFJau1o1ZCBQ2KXgUSQF1iQF1iRGViQF1iQl/xxzi323tcc7XGM5GUwZ9Wc2CUgIeQFFuQFVmQGFuQFFuQlXYzkAQAAAEACGMkro9rltbFLQELICyzIC6zIDCzICyzIS7oYyQMAAACABDCSV0Zs1YAFeYEFeYEVmYEFeYEFeUkXI3kAAAAAkABG8spodv3s2CUgIeQFFuQFVmQGFuQFFuQlXYzkZbCvdZ9GDhkZuwwkgrzAgrzAiszAgrzAgrzkDyN5ZbRky5LYJSAh5AUW5AVWZAYW5AUW5CVdRXfynHNDnHMPOudeUc6CUjDt+GmxS0BCyAssyAusyAwsyAssyEu6iu7kee9bJV1jeU612rx3c+wSkBDyAgvyAisyAwvyAgvyki5rh22BpJeWo5CUjB4yOnYJSAh5gQV5gRWZgQV5gQV5Sdcg4+M/KGmGc26vpBmSNkvqNXOL975QotoAAAAAAEbWkbylks6U9GVJayW1Smrr8dNa0upyak/rntglICHkBRbkBVZkBhbkBRbkJV3Wkby7dNDIXX908qiTY5eACM4//3ytX7/e/LzCiIIG7M//oawDBgxQocBAfGxZ81Lty2/y5Ml65plnYpdRlKxtRVaptDFZ5WnZV3rZlsPJ007WyidXxi7jmFTDcsiTI33Gsn7nrYZllKe2JwtTJ897/6ky1ZGU+p31mjhqYuwyUGHr169XU1OT+XkL1i3Qy057WRkqKq2hQ4eqpaUldhn9Xta8VPvyGzNmTOwSipa1rcgqlTYmqzwt+0ov23IYcc6I2CUcs2pYDnlypM9Y1u+81bCM8tT2ZJF5059zbpRzbrJzrt+dIfHCky6MXQISQl5gQV5gRWZgMXDbwNglICG0L+kyd/Kcc9c55+ok7Za0RlKjc+73zrlXl7q4vJq/bn7sEpAQ8gIL8gIrMgOLjkkdsUtAQmhf0mXaXdM5d52khyTVS/qMpC2STpb0Jkm/cM691nv/q5JXmTPXT7s+dglICHmBBXmBFZmBxaA11ukY0J/RvqTLOpL3KUlzJJ3nvf+09/6rncfpnS/pV5I+Xdry8ql2eW3sEpAQ8gIL8gIrMgOLtmltsUtAQmhf0mXt5L1I0n8ffC68zuv3SuoXO+7efO7NsUtAQsgLLMgLrMgMLAbXD45dAhJC+5IuayevRdLhppoZ3Xl/1WOrBizICyzIC6zIDCwYyYMF7Uu6rJ28eZI+45w7o+eNzrnTFHblfLQ0ZeUbWzVgQV5gQV5gRWZgwUgeLGhf0mXt5H1E0lhJK51zv3HO/dg595ik5yQd13l/1Zv17KzYJSAh5AUW5AVWZAYW7VPbY5eAhNC+pMvUyfPePyvphZK+ImmopIslDZP0ZUkXeu+fK3mFOXTtmdfGLgEJIS+wIC+wIjOwGLiG8+SheLQv6TKfJ897v9l7/w/e+5d478/q/P1h7/3mchSYRwvXL4xdAhJCXmBBXmBFZmDRcQrnyUPxaF/SZT1P3gBJA7z37T1uu07SCyQ94r1/qsT15dIFEy6IXQISQl5gQV5gRWZgMbCBkTwUj/YlXdaRvPsk/V/XFefcuyX9UtK/S/qdc+6aEtaWW2t2r4ldAhJCXmBBXmBFZmBRGFM4+oOATrQv6bJ28l4q6Rc9rn9I0jcUJmOplfTxEtWVa+NHjI9dAhJCXmBBXmBFZmDhDrjYJSAhtC/pMu2uKWmCpI2S5JybJukMSf/lvd/jnPuWpB+WuL5cam5vjl0CEnLMeVm0SProR7uvT5wo/ehHx/Y3+5vWVmnmTGnePGntWqmlRRo3Tjr9dOm666Srr45d4Z/ksX154AFp2TJp5Uppy5bu2z/yEen66w//vEJB+ru/k555pvjnwM6cmcbG0IYsXBgW6IAB0mmnSddeK914ozTI+tUAx8z6IWtslH7wg7AMt22Thg2Tzj5buuUW6bLLjvy/WLwlZ118jz8uzZghrVgh7d8vjR0rXXih9Ja3SGeccejjY4q9TqqvD6vup5+Wtm6Vdu+WnJNOPVV6xSukW2+Vhg/v/Zxj+XhUE+tHvUnSCZ2Xr5TU4L1/uvN6h8JMm1WvrcCJRFG8Y8pLU5P0hS+Urpj+aMeOsKZdtar37du2hZ/hw3PVyctj+/Ltb0v79tmf98Mf9u7goTxMmdm8WXrf+8Lnoqdnnw0/CxdKn/88Hb1Ks3zItm4NW0+2beu+ra1NWrw4/Nxxh3T77Yd9uh/gj61WHMKy+L7+9dA29rRjh/TrX0u/+Y30mc9IL3lJyUvMLPY6aeZM6ec/P/T21avDz6OPSvfeK40YEW4/xo9HVbG24gslfdQ51y7pTvXedXOapA2lKizPxg0bF7sEJOSY8vLFL0o7d0pDhoTRKNh4L911V3cHb+pU6aabpFNOCZtP166VBuZrEoI8ti9Tp0qTJknTp4cvM7t3H/05zz0nfec7YYvroEFhJYvyMGXmS1/q7uBNmya97W1h4XzjG9LGjdKTT0rf/364HZVj+ZB94Qvd32DPPVf68z+X1q0Ly9D78PyLL5Ze8II+n+5a2F2z1IpdfM8807uDd8cd0nnnSb//vXT//eGj+NnPhlGo0aMrUvpR5WGdNHp02NHgoovCKvvhh8PonhRW4w880N1xO8aPR1WxdvI+LOkhSTMlrZb0qR73vUnS46UpK982NG3QqWNOjV0GEpE5L3PmhM16I0eG/RG+9a3SF1ftFi0K+3hIYdfMe++Vhg7tvv+KK+LUdQR5bF++8pXuy/fdd/THt7aGLyrt7dIb3xhivHVr+err74rOTHNz2JTd5W//NnxrkqSODulf/iVcfvBB6S//MndzyiKyAAAgAElEQVQbQKpasR+y558PHXEpbEH59KelE08M1zdtkh56KHyTfeCBw36L9aMYySu1YhffggXdl1/4wu6OSU1N2IVzwwZpzx5p9uzQduZB7HXSNddI735390idFEY6160LI3mS9Mc/ht8l+HhUFevJ0J/z3p8t6UTv/TTv/Zoed79foRN4RM65VzjnZjrnNjrnvHPubaaKc+Cc8efELgEJyZSXbdu61xrvf780YUJpi+ovfvOb7stnnRV6HrfcEg6SeNe7Qkc6Z6qhffna18LW1SlTpHe8I3Y11a/ozOzbF77hdOl5IEvPy01N3d+ekC9d32ClcHx21zdYqfe31qcOf0arATvNp0hGiezZ03354OPIel5fsqQy9RQj9jrphS/s3cGTQgdu8uTu613vXQk+HlUl0yfde/+nnfmdc8c7514s6Vnv/fYinj5K0jKFTuGBLP8/tic2PRG7BCTEnBfvpX/7t/CF7MorpVe/uix19Qs9v6jOnSvNnx92f21pCccf/du/hR5JjqTevjz5pFRbG3bR/PjHw57GKK+iMzNunDRmTPf1H/84dOh27gwLraees0cgPzZt6r58/PG97+t5valJ2ru3zz/RcRInQ4/l9NO7Lz/1VPhpaQmrpvr67vvy9PHL4zqpqal3h+7yy8PvEnw8qor1ZOifkDTSe/+xzuuvkDRL0khJG51zV3vvnzvS3/De/0Kdx/I5576dpejYrjrjqtglICHmvPzkJ2Ez3gknSH//9+Upqr84uBW/4Yawi+b8+dKsWeG2H/0ozLDZc+0bUcrty9690uc+F7ZTvP3t4ZAvlF/RmRkwQPqLvwi7LUvhoJauA1sOxjHA+dTcY6bDgyfHGTy49/UDB6RRow75EwPXsRtuLK95TTj2btu28BE73Co+Tx+/vK2T9u0LGxC7RkUvvTTs0imV5ONRVawjeX+hcCxely9I+oOkmyRtlfSZEtWVazNXzoxdAhJiyktDg/TNb4Z9ET760fwceZ2qnsNIXZ3mSy8Nv0/onCjY+3DUe06k3L5885vS9u1h95rbbotdTf9hyswb3ximnjvuuN63X3FF7+NVq/3bT6qG9ZjE/ODZjA7uGRy8P2Cn9mntJS4KxRo5Uvryl8MxZa7H/DfHHx8mA+mSp49fntZJ27eHyYGXLQvXL7oozK3W9V6W4ONRVaydvFMlPSdJzrkTJV0i6ZPe+59L+pykks5i4Jx7p3OuzjlXt3HLRq3dvVYrG1Zq2bZl2ti0UYs2LFJjc6Pmrp6rgi9oxooZkqTa5WG3kxkrZqjgC5q7eq4amxu1aMMibWzaqGXblmllw0qt3b1Wizct1o79OzRvzTy1drRq1rOzev2Nrt+z62drX+s+LVi3QJdNukxLtizRqp2rtGrnKi3ZskRb927VgnULtK91n2bXz+7zb8x6dpZaO1o1b8087di/Q4s3Lc7Na9q6dyuv6SivqTCukOk1vWrKq4p/Tbt3a3vjJsl7bX/P26RXvUo7XvoidXzuX9XY3KjWjlbtWb9KB654qXZ98D0lXU6FUwpVsZx6vqZNIzrUXmjXzgO75CdM0IyVPwt/Y8WD0sSJ2r6/QV7SM88vys1reu1Zr830eSpML1RkOe1t3aMD7Qe0t3WPdh3Y1es1bd8ubd+/XU8/LV3w0u161aukF76kQVu2FLS7eZfaCm36xF17dNkVzZrz+9Wmz5OXTyZ7hVGFirZ7wwYNs72mP/sz1X72L6TvfEdzPnyLNHOm5rzmbBWam7WrebfaCm1aMnJvbtrywohCbtZPHSd1lD177YV27TiwU5K0YN2CXn+jTptU8F67mnerZfvmXq9pzeon1dLRoqaWJrWNGq65237X52uSlFxbfvByapvWVpHsZX1NO/Y3yPuCnt769CGvqWHAMr3vHzfqE/c+oS/8xx6981/m60c/LqjBhZ7L9v3bNW1aZV9TYUThsK+p4AuZlpOXL2kb8T+/mq33vEf6/TPhyLBJL3xO//SZfarb2v2aBoze8qf106Ztzb1e086d4b2VpH1uk0aNyl9bXmz2iuW8L36WJefcbkm3eu/nOOdukfRdScd579s6d9182HtfdN/YObdX0nu9998+2mNramp8XV1d0bWWU+3yWt187s2xy0CFjRkzRk1NTebnmfJSXy/99V8X99iXvax7NrwSGDp0qFpaWkr293LhRz+SvvrVcPmEE8J+Ms6F0bs3vrF7KvkPfzjsR5MDWduXSi2/227rninz4BP9fuITvWePO5Kvf922O2fWz18Mla61JOuku+8OU89JYU73//7vYy+sRPK07CtSy5E+ZKtXS3/1V+Gyc6GN65qY63OfC3PLS9IrXyl96lN9/vnhFw/XgSeTnBLhT/KUiYMdafEdzsaNYbF2NeFf+IJ0ySXlq/FgR3o/s7YvpVxGTz0lffKT3ecivPXWMOOmO+hsICX4eJTtNZSSc26x977maI+znkLhGUl/4ZxbKOntkh7z3ncNiE6WtO2wz6widPBgYcrL+PHSe95z6O0rVoQzpUphF87bbw/nesORXX+99L3vhXPi7dgh/cd/SC9/ufTb33Z38IYPly67LG6dPeSxfamr6z7WoWc/8rnnuncruuAC6bWvlS688NDnf/e73cdPXH21dM45IeooDVNmnn46fCauuCK0IU1N0iOPdPfOnWNK1BiK/ZBNnRr2UXvqqbCx6p//WXrLW8J0tl2zBTsXZhE+jMH1gw97H7IpdvGNHRtOdj5hQjin3siR4TSu993X/byLLqpsB+9oYq+T5s8Pu2S2d+5lfPXVYTXetcumFI7MmD69JB+PqmIdybtO0s8kDZbUJuk67/1jnff9QNII7/2fGf5ekiN5M1bM0E3n3BS7DFRY1i06JcnL7NnS5z8fLk+cGDZPlVhVjuRJ4TQKd90VzgN2sIEDpX/8R+mq/BxYnjUv5Vx+PbdMH8499/TdwTv4+cVu2T5YXreo9qXStZoys2SJ9IEP9H3fgAHhvhtuKF1xJZCnZV+2Wiwfss2bw6l1th9mQvO3vvWIJ7NnJK/0LIvvzjulP/yh78ecfXZY1R98yGy5Hen9zLpOKtUy6jkCdzg9vxYd48ejl7zlrEtZRvK89w87586VdLGkJd77VT3u/o3CJCxHK2yUpK6ddAZIOs05d6Gknd77dZZ6Ynn99NfHLgEJIS+RveIVYTbBH/4wrFn37AmjoS96kfTmN4fNfzlCXmBlyszJJ4fTsixfHkaz29rCrswXXxx2YT7jjPIVitI4+eRw6pcf/EBauDBM1ThsWDgX6Bve0D2f/GEMqrfuxIVSetWrwijT+vVhdTRsWDin6NVXh+0rB88KGVtq66Rj/HhUFdNIXkn+oXNXSnq0j7u+471/2+Gel6eRvLmr5+qaqdfELgMVlnWLTip5qdqRvMRkzUu1L7+8blHtS6VrTaWNySpPyz5PtWQ14gUjtH/Z/thlHJNqWA55cqT3M2v7Ug3LKK+vodiRPPPJ0J1zpzrnvtQ56+Vq59wLOm+/0zn3kqM933s/z3vv+vh5m7WWWC45JUc7SyP3yAssyAusyAwsBm7hPHkoHu1LukydPOfc+ZKWSvpLSZsknS6p60RUp0t6f0mry6kVDStil4CEkBdYkBdYkRlYFI4vxC4BCaF9SZd1JO+LkpZLOkPSzZJ6Tl66UNJLS1RXrk0aMyl2CUgIeYEFeYEVmYGF2+uO/iCgE+1LuqydvJdL+pz3fq+kgw/m2yrppJJUlXO7mnfFLgEJIS+wIC+wIjOw8EMrOxcD0kb7ki5rJ+9IY/zjJaU9J2+RBg/gHDMoHnmBBXmBFZmBhSswkofi0b6ky9rJ+72kOw5z362SFhxbOWkYNmhY7BKQEPICC/ICKzIDk/bYBSAltC/psnbyPiPpdc65OQqTr3hJ1zjnviPpzyR9tsT15VLD/obYJSAh5AUW5AVWZAYWfji7a6J4tC/pMnXyvPePSbpJYeKV/1OYeOVzkq6QdJP3flHJK8yhKcdNiV0CEkJeYEFeYEVmYDGgyXz2LPRjtC/pMn/SvfcPee/PknS2wkQs53rvp3rvf1ny6nJq6balsUtAQsgLLMgLrMgMLDrGd8QuAQmhfUnXoKxP9N7XS6ovYS3JuHzy5bFLQELICyzIC6zIDCwGbuJk6Cge7Uu6rCdDv8c5973D3Pc959zdpSkr3+asmhO7BCSEvMCCvMCKzMCiYwojeSge7Uu6rLtrvl7S4Zb2wwrH61W9G86+IXYJSAh5gQV5gRWZgcWg1Zl34kI/RPuSLmsn71RJ6w9z34bO+6te7fLa2CUgIeQFFuQFVmQGFm3T2mKXgITQvqTL2snbJWnaYe6bJmnPsZWThpvPvTl2CUgIeYEFeYEVmYHF4HpObo3i0b6ky9rJmyvp4865iT1v7Lz+j5J+VarC8oytGrAgL7AgL7AiM7BgJA8WtC/psu6Y/UlJT0h6zjk3S927aN4gqUXSJ0pbXj6xVQMW5AUW5AVWZAYWjOTBgvYlXdaToa+RdImkGZJeJenOzt8PSrrEe/98qQvMo9n1s2OXgISQF1iQF1iRGVi0T2mPXQISQvuSLvMUS50dvdtLX0o6rjjtitglIILJkydrzJgx5uf5QV6u3ZWhotIaPnx4pteH0sqal2pffpMnT45dQtGythVZpdLGZJWnZV/pZVsOp085PXYJx6walkOeHOkzlvU7bzUsozy1PVk47739Sc45SedJOl5Sg6QVPssfMqipqfF1dXXl/BdFW7BugV522stil4FEkBdYkBdYkRlYkBdYkJf8cc4t9t7XHO1x1olX5Jx7h6TNkp6WNE/SMkmbnHN/Zf1bqZp2/OEmGAUORV5gQV5gRWZgQV5gQV7SZerkOefeIulrkpZKeruk13b+Xirpa865N5e8whzavHdz7BKQEPICC/ICKzIDC/ICC/KSLusxeR+W9APv/V8edPt3nHPfk/QRSfeVpLIcGz1kdOwSkBDyAgvyAisyAwvyAgvyki7r7prTJX3/MPd9v/N+AAAAAEAk1k7eHkmTDnPfpM77q96e1n7xMlEi5AUW5AVWZAYW5AUW5CVd1k7eLyX9q3Ou13yqzrnLJP1L5/1V7+RRJ8cuAQkhL7AgL7AiM7AgL7AgL+mydvI+LKlR0jzn3Drn3CLn3FpJv5XU1Hl/1avfWR+7BCSEvMCCvMCKzMCCvMCCvKTLfJ4859wIhRk1r1A4T95OSY9J+rb3fn/JK+yUp/Pk7Wvdp5FDRsYuA4kgL7AgL7AiM7AgL7AgL/lT8vPkOecGO+dulDTRe/9f3vs3ee9f3fn73nJ28PJm/rr5sUtAQsgLLMgLrMgMLMgLLMhLukwjec65FknXe+8fLV9JfcvTSB4AAAAAVFrJR/I6rZY0IVtJ1aN2eW3sEpAQ8gIL8gIrMgML8gIL8pIu60jeHZI+IOlq7/32slXVB0byAAAAAPRn5RrJu0phspXnnXNznXPfc859t8fPdzJVmxi2asCCvMCCvMCKzMCCvMCCvKTLOpK3RtKRnuC991OPtai+MJIHAAAAoD8r10hejaRzvfdnHOanLB28vJn17KzYJSAh5AUW5AVWZAYW5AUW5CVdRx3Jc84NlPRJSXdKGi2pQ9LPJf2V93532SvslKeRvNaOVg0ZOCR2GUgEeYEFeYEVmYEFeYEFecmfUo7kvVvSP0l6UtLdkn4m6UZJ9xxThQlbuH5h7BKQEPICC/ICKzIDC/ICC/KSrkFFPOavJX3de/+urhucc++S9F/OuXd571vLVl1OXTDhgtglICHkBRbkBVZkBhbkBRbkJV3FjORNlXT/Qbf9WNJASaeXvKIErNm9JnYJSAh5gQV5gRWZgQV5gQV5SVcxnbxRkpoOum1P5+/RpS0nDeNHjI9dAhJCXmBBXmBFZmBBXmBBXtJVzO6aknSqc67nzJkDe9zea/IV7/3qklSWY83tzbFLQELICyzIC6zIDCzICyzIS7qK7eQ9cJjbZ/Rx28A+bqsqbYW22CUgIeQFFuQFVmQGFuQFFuQlXcV08u4oexWJGTdsXOwSkBDyAgvyAisyAwvyAgvykq6jdvK899+pRCEp2dC0QaeOOTV2GUgEeYEFeYEVmYEFeYEFeUlXMROv4CDnjD8ndglICHmBBXmBFZmBBXmBBXlJF528DJ7Y9ETsEpAQ8gIL8gIrMgML8gIL8pIu572PXUNRampqfF1dXewyJEkFX9AAR/8YxSEvsCAvsCIzsCAvsCAv+eOcW+y9rzna41hqGcxcOTN2CUgIeYEFeYEVmYEFeYEFeUkXI3kAAAAAkIBiR/KKPU8eeqhdXqubz705dhm5c/7552v9+vWxy8idtmltGlw/uGL/b/LkyXrmmWdK+jdZtpXTcXaHBj5b9acbLalyZL5cyvFZytrGDBgwQIVCoaS19GepvJ9HyktKnyVUBt9508VIHkpmzJgxampqil1Gv1eO5cCyrZyhQ4eqpaUldhlJSSmfeaqVrJVWNbyfecongL5xTF4ZzVgxI3YJSAh5gUXh7PyPBCBfaGNgQV5gQV7SRScvg9dPf33sEpAQ8gIL96yLXQISQxsDC/ICC/KSLjp5GTzy/COxS0BCyAss/JQ0dqFHftDGwIK8wIK8pItOXgaXnHJJ7BKQEPICC7eZkTzY0MbAgrzAgryki05eBisaVsQuAQkhL7DwJzCSBxvaGFiQF1iQl3TRyctg0phJsUtAQsgLLFwTI3mwoY2BBXmBBXlJF528DHY174pdAhJCXmDhhzOSBxvaGFiQF1iQl3TRyctg8IDKndga6SMvsHAdjOTBhjYGFuQFFuQlXXTyMhg2aFjsEpAQ8gKT9tgFIDW0MbAgL7AgL+mik5dBw/6G2CUgIeQFFn4Eu2vChjYGFuQFFuQlXXTyMphy3JTYJSAh5AUWrpHdNWFDGwML8gIL8pIuOnkZLN22NHYJSAh5gYU/kZE82NDGwIK8wIK8pItOXgaXT748dglICHmBhdvASB5saGNgQV5gQV7SRScvgzmr5sQuAQkhL7DwUxnJgw1tDCzICyzIS7oGxS4gRTecfUPsEnCMHnhAWrZMWrlS2rKl+/aPfES6/vrej129WvrFL6QVK6T6eqmlJdw+caL0ox8d/X+Rlwqrr5fmzZOeflraulXavVtyTjr1VOkVr5BuvVUaPjx2lYc1oD7+tjfL52PWLOm3v5XWrpUaG6XWVmnUKOn006VXvlJ6/eulQaxpSmPr1tDoLF4sbdsmtbVJo0frhjPOkK4dGBaOS3ck2JK7z31Oevjhw/+ts8+WvvrV8tRZbsW+D0uWSB/4wNH/3nXXSR/9aPd11kmwIC/pYtWbQe3yWt187s2xy8Ax+Pa3pX37invsk09KP/1p9v9FXips5kzp5z8/9PbVq8PPo49K994rjRhR+dqKUJheiF2C6fMxd670hz/0vq2xMfSxn3469Ec++9mSl9j/bN0q/fVfS3v29L69sVHbF/5KJy5ZEnoFd94Zp74SsOSumpX6fTh4IwvrJFiQl3TRycuAsKdv6lRp0iRp+vSwQt29+/CPHTVKuvTS8NjGxtCHsCAvEYweLV17rXTRRdLAgWGT/7x54b61a8Om8ttvj1ri4QxYGX8kz/L5mDZNetGLpDPOkMaOlXbuDG/vihXh/oULpQ0bwt/DMZg1q7uDN2KE9N73SieeKD34oE5cuDDc/vOfS+96V65Hqo/EkruePvUp6fjje9+W0204RSn2fTjrLOkrXzn09t27pX/+Z8l37vl95ZW972edBAvykq4onTzn3N9K+pCkkyU9I+lO7/38GLVkwVaN9PVcMd5335Efe/313bvIzJ5t7+SRlwq75hrp3e/u/S3vJS+R1q0LI3mS9Mc/xqmtCHkYybN8Pt773kNvO+006Z3v7L6+f39p6urX9u7tvlxTI73mNeHy6NHaPvdnOnHEiVKhEH4SZcldT9OnSyedVPp6Yin2fRg5UrrggkNv/9a3ujt4Z54Z4tIT6yRYkJd0VbyT55x7k6QvS/pbSb/t/P1L59x53vt1la4nC8IOC/JSYS984aG3OSdNntzdycvxSEceRvKyKhSk7dulGTO6bxs/XpoyJVpJ1eOSS7rf2Lo66Ze/7B7JG3FiuP3yy8M3/37m/e8PI8hDhoQR5euvl/7f/0v68MTMWlqkn/2s+/qttx76GNZJsCAv6YrxbeLvJX3be/917/1y7/37JG2W9DcRaslkdv3s2CUgIeQlB5qawsGVXS7P75TQhanpjcTs3Su96lXS1VdLt90WJipyLvS3v/CF8OUbx+jyy6X3vCfsirx/f3hjP/QhaeFCNbQ2Sm95i/RP/xS7yii2bZPa28Pb8swz0he/2Ht3xf7k4YfDYQVS2AZw1VWHPoZ1EizIS7oqOpLnnBsi6cWS7j7orjmS8vut6yBXnHZF7BKQEPIS2b590sc/3n0806WXhl06c8qtr67hh67ZaFECJ54Yfg6afGXc4FHhmNNLL+17JLsKjRwZPsYXXxzeksZG6cEHQydPkubPlx577NDj0aqZ99L993dfv/nmvme2ZZ0EC/KSrkqP5I2XNFDS1oNu3yopmT3ql2xZErsEJIS8RLR9u/S+94X5yKUwEctdd+V6Py4/Mb3hhxEjwnFEX/qS9LGPSRdeGL5wPv102JVu48bYFVaBX/86zDCyenWYleOb3wwHCX/sY9rTui+8yR/5iNTQELvSinjf+8K2m9e8JhxzdvXVIX89j83rmo+mv+ia5EgKn8nXva7vx7FOggV5SVesgz8O/hbj+rhNzrl3OufqnHN1G7ds1Nrda7WyYaWWbVumjU0btWjDIjU2N2ru6rkq+IJmrAjHK9Qur5UkzVgxQwVf0NzVc9XY3KhFGxZpY9NGLdu2TCsbVmrt7rVavGmxduzfoXlr5qm1o1Wznp3V6290/Z5dP1v7WvdpwboFGjt0rJZsWaJVO1dp1c5VWrJlibbu3aoF6xZoX+u+Pw1tH/w3Zj07S60drZq3Zp527N+hxZsW5+Y1bd279Zhfkx/mk3xNG5rWS5K2799+1OW0ZvcatXS0qKmlSW0drUW9pgkjJ+RqOVVj9vp6TVueflw73v5mta96TjsP7FLhla/Uz+64XBo6NNevSY3K1XJqL7SrsblRrR2tf3o9B7+mA+37tHH4bF10kbR3cq3uvltqHRa+bW7e3aCHftle1tdUGF3IVfaO9JraprVlWk4dM2rVsH+HJOl3Lz5JmjpVtasfkq69Vg0nj1WH71Dj7q3a9cgvq6KN2Lx3c3hNzY3adWBXUa9p1qpanX12d1tet2pVRV9T4bRC1PXT/3y74U/rp6uuPaDHt/b9mp7b8dxhX1NhXCF3bXk1rp9Sek0rd6ysuteU+nIqlvMV3Gm9c3fN/ZLe7L2/v8ft/y3pBd77Vx7uuTU1Nb6urq4CVR7dki1LdOFJF8YuI3fGjBmjpqam2GWY3XZbOAWV1PdJd3uaPVv6/OfD5WJPhl7pvJRjOSS3bJ96SvrkJ7tPNnXrrWHGzRyP4HUZPHmw2ta3xS7jT470+WhpCcfbHfy2FgrSn/959/NuvLG8p29LKZ+Za739dml9+MKvO+7oPgWI99p1y2s1bldzuP6ud4WFVoShQ4eqJaf70x4pd/v3h0H600/v/ZzWVumtb+0+gfjBJwEvt3K8n8Wun1askP6mc2aDgQOlH/5QmjCh78ceaZ2U0mcJlcF33vxxzi323tcc7XEVPSbPe9/qnFss6dWSeuw5rldLOobTTVfW6CGjY5eAY1RXJzV3fifquU5+7rlwXjwpTE09dmw4qP/ZZ7vv79LSIv32t+Hy2LF9T2UtkZeKmz8/7JLZ3h6uX3219PKXd++yKYWeyfTpceo7CtcavyNa7Odj6dJwXvmrrw4zaB5/fJjl8KGHur+YStJ551Ws9Op15pndnbz775eOO0465RTpscc0bPsuaVDnjLE5zXUxis3dgQOhn3vppeGjfcop4dxwDz7Y3cGT0j0ez7J+6vKTn3RfvvLKw3fwJNZJsCEv6YpxnrwvSfqec+73khZIerekUyT9b4Ra0E/dfXfvL6FdamvDjyTdc084tujJJ7tH73ravTsMFknhZND/8R/lqxcGCxZ0d/CkcCzTr3/d+zHFDsP2U8V+PiRp82bp+98//N+6/PJcz3OTjre9TVq8OEy6sndv9wLo6RWvCMedJqrY3J10Ujjmc9Gi8NOXG2+UXvrS8tVaTpb1kxQe+9hj3Y9705vKXyOA/Kt4J897/2Pn3AmSPqFwMvRlkl7rvV9b6Vqy2tO65+gPAjqRF1j4IelMvDJtWpjB749/DF809+wJu26OGyeddVYY4bvyyiT2ks2/00+XvvEN6cc/Dp29LVuktjZp5EjtnXiKht/4Zum1r41dZUWMHx/OFvH442Evi507wy6cY8dK55wTzpGX47OklNxPfxp2kZZCH/+ss478eNZJsCAv6aroMXnHIk/H5G3du1UTR02MXUbusC9/3yqdF47JS9uQ44eodWdr7DKSklI+y1Fr1jYmz8fkpSiV9/NIeUnps4TK4Dtv/hR7TF6s2TWTVr+zPnYJSAh5gYUfl8aGN+QHbQwsyAssyEu66ORlwCxDsCAvsHBb2bcRNrQxsCAvsCAv6aKTl8H8dfNjl4CEkBdY+MmM5MGGNgYW5AUW5CVddPIyuH7aEU6kBhyEvMBiwGqaZdjQxsCCvMCCvKSLbxMZdJ2ZHigGeYFFYXohdglIDG0MLMgLLMhLuphdEyXDrFz5wOyaaUtlhr48SSmfeaqVrJVWNbyfecongL4xu2YZsVUDFuQFFozkwYo2BhbkBRbkJV2M5KFk2AKYD4zkpa0aRgMqLaV85qlWslZa1fB+5imfAPrGSF4ZzXp2VuwSkBDyAovCNEbyYEMbAwvyAgvyki46eRlce+a1sUtAQsgLLNxqzpMHG9oYWF3TPSMAAA6NSURBVJAXWJCXdNHJy2Dh+oWxS0BCyAss/KQ0dqFHftDGwIK8wIK8pItOXgYXTLggdglICHmBhdvOSB5saGNgQV5gQV7SRScvgzW718QuAQkhL7DwYxnJgw1tDCzICyzIS7ro5GUwfsT42CUgIeQFFm4/I3mwoY2BBXmBBXlJF528DJrbm2OXgISQF5gMil0AUkMbAwvyAgvyki46eRm0Fdpil4CEkBdY+IHsrgkb2hhYkBdYkJd00cnLYNywcbFLQELICyzcAXbXhA1tDCzICyzIS7rYMSiDDU0bdOqYU2OXkTuTJ0/WmDFjYpeROx0ndWjgloEV+3+TJ08uy99k2VbGkFOG8F4blSPz5VKOz1LWNmb48OFkrYRSeT+PlJeUPkuoDL7zpst5n8auQTU1Nb6uri52GZKkxuZGjR02NnYZSAR5gQV5gRWZgQV5gQV5yR/n3GLvfc3RHsfumhk8semJ2CUgIeQFFuQFVmQGFuQFFuQlXYzkZVDwBQ1w9I9RHPICC/ICKzIDC/ICC/KSP4zkldHMlTNjl4CEkBdYkBdYkRlYkBdYkJd0MZIHAAAAAAlgJK+MapfXxi4BCSEvsCAvsCIzsCAvsCAv6WIkDwAAAAASwEheGc1YMSN2CUgIeYEFeYEVmYEFeYEFeUkXI3kZMNMQLMgLLMgLrMgMLMgLLMhL/jCSV0aPPP9I7BKQEPICC/ICKzIDC/ICC/KSLjp5GVxyyiWxS0BCyAssyAusyAwsyAssyEu66ORlsKJhRewSkBDyAgvyAisyAwvyAgvyki46eRlMGjMpdglICHmBBXmBFZmBBXmBBXlJF528DHY174pdAhJCXmBBXmBFZmBBXmBBXtJFJy+DwQMGxy4BCSEvsCAvsCIzsCAvsCAv6aKTl8GwQcNil4CEkBdYkBdYkRlYkBdYkJd00cnLoGF/Q+wSkBDyAgvyAisyAwvyAgvyki46eRlMOW5K7BKQEPICC/ICKzIDC/ICC/KSLjp5GSzdtjR2CUgIeYEFeYEVmYEFeYEFeUmX897HrqEoNTU1vq6uLnYZkqTWjlYNGTgkdhlIBHmBBXmBFZmBBXmBBXnJH+fcYu99zdEex0heBnNWzYldAhJCXmBBXmBFZmBBXmBBXtLFSB4AAAAAJICRvDKqXV4buwQkhLzAgrzAiszAgrzAgryki5E8AAAAAEgAI3llxFYNWJAXWJAXWJEZWJAXWJCXdDGSBwAAAAAJYCSvjGbXz45dAhJCXmBBXmBFZmBBXmBBXtLFSF4G+1r3aeSQkbHLQCLICyzIC6zIDCzICyzIS/4wkldGS7YsiV0CEkJeYEFeYEVmYEFeYEFe0kUnL4Npx0+LXQISQl5gQV5gRWZgQV5gQV7SRScvg817N8cuAQkhL7AgL7AiM7AgL7AgL+mik5fB6CGjY5eAhJAXWJAXWJEZWJAXWJCXdNHJAwAAAIAqQicvgz2te2KXgISQF1iQF1iRGViQF1iQl3TRycvg5FEnxy4BCSEvsCAvsCIzsCAvsCAv6aKTl0H9zvrYJSAh5AUW5AVWZAYW5AUW5CVddPIyuPCkC2OXgISQF1iQF1iRGViQF1iQl3TRyctg/rr5sUtAQsgLLMgLrMgMLMgLLMhLupz3PnYNRampqfF1dXWxywAAAACAKJxzi733NUd7HCN5GdQur41dAhJCXmBBXmBFZmBBXmBBXtLFSB4AAAAAJICRvDJiqwYsyAssyAusyAwsyAssyEu6GMkDAAAAgAQwkldGs56dFbsEJIS8wIK8wIrMwIK8wIK8pIuRvAxaO1o1ZOCQ2GUgEeQFFuQFVmQGFuQFFuQlfxjJK6OF6xfGLgEJIS+wIC+wIjOwIC+wIC/popOXwQUTLohdAhJCXmBBXmBFZmBBXmBBXtJFJy+DNbvXxC4BCSEvsCAvsCIzsCAvsCAv6aKTl8H4EeNjl4CEkBdYkBdYkRlYkBdYkJd00cnLoLm9OXYJSAh5gQV5gRWZgQV5gQV5SRedvAzaCm2xS0BCyAssyAusyAwsyAssyEu66ORlMG7YuNglICHkBRbkBVZkBhbkBRbkJV108jLY0LQhdglICHmBBXmBFZmBBXmBBXlJF528DM4Zf07sEpAQ8gIL8gIrMgML8gIL8pIuOnkZPLHpidglICHkBRbkBVZkBhbkBRbkJV3Oex+7hqLU1NT4urq62GVIkgq+oAGO/jGKQ15gQV5gRWZgQV5gQV7yxzm32Htfc7THsdQymLlyZuwSkBDyAgvyAisyAwvyAgvyki5G8gAAAAAgAYzklVHt8trYJSAh5AUW5AVWZAYW5AUW5CVdjOQBAAAAQAIYySujGStmxC4BCSEvsCAvsCIzsCAvsCAv6WIkLwNmGoIFeYEFeYEVmYEFeYEFeckfRvLK6JHnH4ldAhJCXmBBXmBFZmBBXmBBXtJFJy+DS065JHYJSAh5gQV5gRWZgQV5gQV5SRedvAxWNKyIXQISQl5gQV5gRWZgQV5gQV7SRScvg0ljJsUuAQkhL7AgL7AiM7AgL7AgL+mik5fBruZdsUtAQsgLLMgLrMgMLMgLLMhLuujkZTB4wODYJSAh5AUW5AVWZAYW5AUW5CVddPIyGDZoWOwSkBDyAgvyAisyAwvyAgvykq5kzpPnnNsuaW3sOjqNl9QQuwgkg7zAgrzAiszAgrzAgrzkz+ne+xOP9qBkOnl54pyrK+YkhIBEXmBDXmBFZmBBXmBBXtLF7poAAAAAUEXo5AEAAABAFaGTl83XYheApJAXWJAXWJEZWJAXWJCXRHFMHgAAAABUEUbyAAAAAKCK0Mkzcs5d75xb6Zyrd859NHY9yBfn3GTn3KPOueXOuWecc+/vvP1459yvnHPPdf4eF7tW5IdzbqBz7inn3KzO62c45xZ15uXHzrkhsWtEPjjnjnPOPeCcW9HZzlxG+4LDcc59oHNdtMw5d59zbhjtC3pyzv2fc26bc25Zj9v6bFNc8JXO78BPO+cujlc5joZOnoFzbqCk/5b0GknnSXqzc+68uFUhZ9olfdB7f66kl0p6T2dGPirp1977syT9uvM60OX9kpb3uP55Sfd05mWXpL+KUhXy6MuSZnvvz5H0IoXc0L7gEM65UyX9naQa7/0LJA2UdJtoX9DbtyVdf9Bth2tTXiPprM6fd0r6nwrViAzo5NlcKqnee7/ae98q6UeSboxcE3LEe7/Ze/9k5+U9Cl/ATlXIyXc6H/YdSTfFqRB545ybJOn/SfpG53Un6SpJD3Q+hLxAkuScGyPpFZK+KUne+1bv/W7RvuDwBkka7pwbJGmEpM2ifUEP3vvfSNp50M2Ha1NulPRdH/xO0nHOuZMrUyms6OTZnCppfY/rGzpvAw7hnJsi6SJJiyRN9N5vlkJHUNKEeJUhZ/5D0oclFTqvnyBpt/e+vfM67Qy6TJW0XdK3Onfv/YZzbqRoX9AH7/1GSXdLWqfQuWuUtFi0Lzi6w7UpfA9OCJ08G9fHbUxPikM450ZJ+qmkO733TbHrQT45526QtM17v7jnzX08lHYGUhiVuVjS/3jvL5K0T+yaicPoPI7qRklnSDpF0kiF3e0ORvuCYrF+SgidPJsNkib3uD5J0qZItSCnnHODFTp4P/De13bevLVrl4bO39ti1YdceZmk1zvn1ijs/n2VwsjecZ27V0m0M+i2QdIG7/2izusPKHT6aF/Ql2skPe+93+69b5NUK+ly0b7g6A7XpvA9OCF08myekHRW58xUQxQOYJ4ZuSbkSOfxVN+UtNx7/6Ued82U9NbOy2+V9LNK14b88d5/zHs/yXs/RaE9ecR7/xZJj0p6Q+fDyAskSd77LZLWO+emd950taQ/ivYFfVsn6aXOuRGd66auvNC+4GgO16bMlHR75yybL5XU2LVbJ/KHk6EbOedeq7ClfaCk//PefzZyScgR59zLJc2XtFTdx1j9o8JxeT+RdJrCiveN3vuDD3RGP+acu1LSP3jvb3DOTVUY2Tte0lOS/sJ73xKzPuSDc+5ChUl6hkhaLekOhQ22tC84hHPu05LepDDz81OS3qFwDBXtCyRJzrn7JF0pabykrdL/b+/+XeSqwjAAv6/ZQi0sgpUgCNqJBCKWKvgHiKJgFYKFYG2lRdTOwkpRsBFF0lkogsiGVIpiERIUBQsDYqOIsoK/SIo9FnMHlnUZLXZm8e7zwDD3HM69fKcZeOcczs0LSd7PAb8p058Fr2VxGuefSZ4cY1w6irr5d0IeAADAjNiuCQAAMCNCHgAAwIwIeQAAADMi5AEAAMyIkAcAADAjQh4As9V2/IfPd9PYt5fXAPB/5hUKAMzW9MLevd5L8kWSF/f0XRtjXGl7Z5JbxhhXNlUfAKzD1lEXAADrMsb4fG+77bUkP+/vn8Ze3VhhALBGtmsCQP65XbPtHdN2zqfbvtT2x7a/tT3f9ua2d7Xdbvt722/bnj3gmafaftB2p+1fbT9te/9GJwbAsSPkAcBqzyW5LcnZJM8neSLJG1ls/fwwyaNJvkzyVtu7lze1PZ3ksyQnkzyV5LEkvyS52PbeTU4AgOPFdk0AWO3qGGO5Src9rcSdSXJmjHE+SdpeSvJwkseTfD2NfTnJ90keGmNcn8ZtJ/kqybkkj2xuCgAcJ1byAGC1j/a1v5m+t5cdY4ydJD8luT1J2t6U5MEk7ybZbbvVditJk1xM8sC6iwbg+LKSBwCr7exrX1/Rf+N0fTLJiSxW7M4d9NC2N4wxdg+rSABYEvIA4PD9mmQ3yetJ3jlogIAHwLoIeQBwyMYYf7T9JMmpJJcFOgA2ScgDgPV4JsnHWRzW8maSH5LcmuR0khNjjGePsjgA5svBKwCwBmOMy0nuy+K1Ca8muZDklST3ZBH+AGAtOsY46hoAAAA4JFbyAAAAZkTIAwAAmBEhDwAAYEaEPAAAgBkR8gAAAGZEyAMAAJgRIQ8AAGBGhDwAAIAZEfIAAABm5G+mzvCgr13XuAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[2, 0],\n",
       "       [0, 1],\n",
       "       [2, 1],\n",
       "       [1, 0],\n",
       "       [2, 2],\n",
       "       [1, 1],\n",
       "       [2, 3],\n",
       "       [0, 3],\n",
       "       [1, 3],\n",
       "       [1, 4],\n",
       "       [0, 0],\n",
       "       [2, 4],\n",
       "       [0, 2],\n",
       "       [1, 2],\n",
       "       [0, 4],\n",
       "       [2, 5],\n",
       "       [0, 5],\n",
       "       [2, 6],\n",
       "       [1, 5],\n",
       "       [1, 6]], dtype=uint8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "If there are existing schedules, give an example of how the relative order of tasks in the array output can change\n",
    "ex: Task 2 went from [0, 0] to [0, 1] because of node 11 and Task 8 went from [0, 1] to [0, 3]\n",
    "\"\"\"\n",
    "sched, _, new_format = heft.schedule_dag(dag1,\n",
    "                                    communication_matrix=comm_matrix_1,\n",
    "                                    computation_matrix=comp_matrix_1,\n",
    "                                    proc_schedules=sched,\n",
    "                                    time_offset=10)\n",
    "gantt.showGanttChart(sched)\n",
    "new_format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Test basic scheduling of a graph with infs/unsupported resources in the computation matrix\n",
    "\"\"\"\n",
    "inf_comp = np.concatenate((comp_matrix_1, np.inf * np.ones((10, 1))), axis=1)\n",
    "\n",
    "inf_comm = np.concatenate((comm_matrix_1, [[1], [1], [1]]), axis=1)\n",
    "inf_comm = np.concatenate((inf_comm, [[1, 1, 1, 0]]), axis=0)\n",
    "\n",
    "sched, _, new_format = heft.schedule_dag(dag1, \n",
    "                                        computation_matrix=inf_comp,\n",
    "                                        communication_matrix=inf_comm)\n",
    "gantt.showGanttChart(sched)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}