diff --git a/notebooks/Tutorial/calversion.ipynb b/notebooks/Tutorial/calversion.ipynb
index 93dbf18e06e6b588c273caed87b2f563cf95c7ae..3455a3c71e28d462a17c9a5c48279159eccabb8b 100644
--- a/notebooks/Tutorial/calversion.ipynb
+++ b/notebooks/Tutorial/calversion.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 30,
    "metadata": {
     "collapsed": true
    },
@@ -37,21 +37,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "ename": "ImportError",
-     "evalue": "No module named 'ipyparallel'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-75-f535e80204a3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mipyparallel\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Connecting to profile {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcluster_profile\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mImportError\u001b[0m: No module named 'ipyparallel'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Connecting to profile tutorial\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AsyncResult: use_dill>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -61,7 +67,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "# make sure a cluster is running with ipcluster start --n=2, give it a while to start\n",
+    "# if not using slurm: make sure a cluster is running with ipcluster start --n=2, give it a while to start\n",
     "from ipyparallel import Client\n",
     "\n",
     "print(\"Connecting to profile {}\".format(cluster_profile))\n",
@@ -78,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 32,
    "metadata": {
     "collapsed": true
    },
@@ -91,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 33,
    "metadata": {
     "collapsed": true
    },
@@ -111,16 +117,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaIAAAEqCAYAAABX6FTaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XmcVnX5//HXW8Dc91REFDUsNVNcwDVHrcS+bqm5hbmn\nlVu/LJdShtJS09IsFZPc09wyLHFJHXdREBERXMEExTVSMZXl+v1xzuA9w8w5FzNz5j73zfV8PO4H\n933u6/6cz33OMNd8zvksMjNCCCGEalms2hUIIYSwaItEFEIIoaoiEYUQQqiqSEQhhBCqKhJRCCGE\nqupZ7QqEEEI9k1T1rslmpmrXIUskohBCKFjjIrpvr0hEIYRQsPhFmy2OTwghFKxXtStQcpGIQgih\nYPGLNlscnxBCKFi0iLJFIgohhILFL9pscXxCCKFg0SLKFokohBAKFr9os8XxCSGEgkWLKFskohBC\nKFj8os0WxyeEEAoWLaJskYhCCKFgkYiyRSIKIYSCxS/abHF8QgihYNEiyhaJKIQQCha/aLPF8Qkh\nhIJFiyhbJKIQQihY/KLNFscnhBAKFi2ibJGIQlVJagTWM7ODq12XEIoSv2izLVbtCoTykTRV0keS\nPpA0Q9I1kpYraHdWULktSGqQ9Fp37CuE1npV8VELIhGFthiwm5ktC2wCbAz8vLpVCqF29azioxZE\nIgqZzOxN4G5go+Ztkk6R9JKk9yVNlLRXxXuHSnpY0m8kvSfpFUmDK95fR9ID6WfvBlap3J+kPdIy\n/yPpfklfqnhvqqSTJD2TttZGSFpN0ihJ/5V0j6QVPN9LUpOkX0p6JC1rpKRVJF2XlvWEpLUr4i+U\n9O/0vTGStqt4b0lJV6Xf9zlJP61sfUlaQ9Itkt5Kj8dx7hMQ6kLZWkSSBkuaLOlFSSe38f6Kkv4m\nabyk0ZI2aqucrhKJKLRHAJLWBAYDoyveewnYzsyWA4YB10pareL9gcBkYGXgXGBExXt/AZ5M3/sl\ncAjp5TlJ66fvH0+SoO4AbpfU/IedAXsDOwNfBHYDRgGnAKuS/DwfvxDfcX9gCNAHWA94LK3rSsAk\nYGhF7BMkrcMV0zreJGnx9L2hwFrAOsDX0zKbv9NiwO3AOGCNtO4nSvrGQtQz1LgyJSJJPYA/kPy/\n3hA4UNIGrcJOA54ys02A7wIXdvIQZIpEFNoi4DZJ7wP/Bl4Gzmx+08xuNrMZ6fMbgReBQRWff9XM\nRpiZAVcDvSWtKmktYAvgdDObbWYPkfySbrY/8A8zu9fM5gLnAUsC21TEXGRmb5vZ68BDwGNmNt7M\nPgH+BgxwfkcDrjCzKWb2PklCe8HM7kv3fVNlWWZ2nZn9x8zmmdlvgc+RJEOAbwO/MrP/mtl0kv+0\nSt/bEljFzM40szlmNgW4HDjAWc9QB0p2aW4g8JKZTTWz2cANwJ6tYjYA7gcws+eBfpI+35ljkKVW\nLiGG7mXAnmZ2n6SvkiSLLUhaBUj6LvAjoF8avwxJC6fZjPkFmX0kqTlmVeA/Zva/ithXgTXT52uQ\nJL7mz1p6iatPRfybFc//1+r1x+l+vFp/9q32ypJ0EnB4WkcDluOzy4prAJUdIaZVPF8bWEPSfyq2\n9QAeXIh6hhrXq5q/aecssKUPC/68DmoVM57k6sPDkgaS/ByvCbxdRBUjEYVMZvagpIuAc4Ad0/sm\nlwE7kbRGTNI4PmsBZHkDWFHSUmb2UbptbWBu+nw6SccIAJRksL7p9vZ49uvRbu89SdsDPwF2MrOJ\n6bb3Kvb9RlrPyenrvhUffw2YYmbrd1E9Qw3q2Y2/aR+aCw/Pywzx9FQ9G7gw/b89geTS8tzsj3Rc\nJKLgcQHwI0mDgA9IfpDfARZLW0df9hRiZq9KGgMMk3QayV9huwF/T0NuAk6RtBPJZbcTSFomj3bl\nl6mgdp63tizJ35XvpPeFTiFpETW7EThV0pPA0sCxfPaf/QngA0k/BS4CPiW57LGEmY3pkm8RSq9X\nj+7b1049kr8Sm509a4GQ6bT8Y6kvLVvxmNkHJFcAAJA0BXilSytaIe4RhVxm9g5wFXCymT0HnE9y\nY38GSRJ6uDKcBf/iqnx9EEkCeg84Iy23eT/Pk9zov4jkEsD/Abub2YIXF9ouu619txfr+Wzz6zvT\nxwvAVJJLgv+uiPsFyX/kKSQ9DG8iSTik95t2AzYl+Y/8NkmLsqhxWaGEevas3qMNY4D+kvqlf1jt\nD4ysDJC0fHNnHElHAQ+Y2YdFHR8l95NDCF1F0veB/cxsx2rXJVSfJLOV8+MK2/+7YGYtWvySdiW5\n0tEDGGFmv5Z0NICZDZe0NXAlyR9jzwJHmNl/C6tjJKIQOkfS6nzW/bs/8A+S3n2/r2rFQilIMlu1\nivt/a8FEVDZxjyiEzlscuJRkHNFM4Hrg4qrWKJRL/KbNFC2iEEIokCSztaq4/39HiyiTpMiCIYTS\nKOwXdrSIMhV6eNI5xppviF1uZue0jmmygS1eX9E4jcMa12yx7R094drfPq2HZLVh88cfcpU19vLt\nXXFaso1ceksj7NPYYtM+37k2t6xbhg1x7fPDU3x9Qcd8bgtXXMPE0Qtu/GMj/LBx/ksb5vv/+f71\nvvl+v9XjVldcT8fQhbvPaj0oHLi3EXZubLntNtcuYcz7zsDrfGEHfD8/5vE2tv2nEVZsbLFp3ljf\nedAdrrCkL1+Ok778S1dRKzCzxev7Gh9lp8ZtFoj7+fDzXeVp8Ke5MXbI4rkxAOrl+Jv3XwU2Grqx\n+3YtKiwRVcxn9DWSfutPShppZpOK2mcIIZRStIgyFXl45s9nBCCpeT6jSEQhhEVLJKJMRR4ez3xG\nC9i0oQ7G+W3QUO0adN6WDdWuQees01DtGnTeEg3VrkGnrNPQNz9oURGX5jIVmYhcHRGuaPxsZolN\nG5ZjQD0kog0bql2DzhvYUO0adM66DdWuQect2VDtGnRK6RPRe03wn6bu2Ve0iDIVeXhy5zMCFuiY\nEEII3WKlhuTRbMqw4vYViShTkYdn/nxGwOsk8xkdWOD+QgihnOLSXKbCEpGZzZF0LHAXn81nFB0V\nQgiLnmgRZSr08JjZKJKVL9s1moFZbwPQE984Im2Zf1vqbnzjg/ibL4w7Fhga1aZbhuSPJbnNdnGV\nNZMVXHENZ7UxPqgN+/3sqtwY3TQ0NwZg3Ru/7YqbvIJr5QgWPyz/nI793Yauss772UmuuOu1ryuO\nno7xQZBMGZnj06d9Y1gWW+Ey3z45yhf2JUfM5CtdRVn/031xbY2Zaitu2/wxQjdN2s1V1rGcmxvz\nhyLnHohElCkOTwghFC1+02aKwxNCCEWLe0SZIhGFEELR4jdtpjg8IYRQtPhNmykOTwghFC0uzWVa\nLC9A0hKebSGEENrRs4qPNkgaLGmypBclndzG+6tIulPS05KelXRop49BhtxEBDzq3BZCCKEtJUpE\nFSsjDAY2BA6UtEGrsGOBcWa2KdAAnC+psCto7RYsqTewBrCUpM0AkcwftxywVFEVCiGEulOuS3Oe\nlRHeAL6SPl8OeNfM5hRVoawM9w3gUJJZtCtXsvoAOK2oCoUQQt0p1914z8oIfwLuk/Q6sCywX5EV\navfwmNlVwFWS9jWzm4uqwMnaJzdmoPlGuv+S/JHz35BvhVYY64qyM3yroGrgApdhF/B7jnOVdZV2\nd8Xdbju74obimexxiqusc+WbMeGvln/eAU7ljNyYzXd9zlXWgaP+7IqzdZZ3xWnKeFfc9ybcnxvT\na7KrKC7me6647/f1xV3i2O9mrpJg0AtNrrjRBze44rSFYwL/4a6ioMkTlP9/tMO6MRE1TYem1zND\nPCsjnAY8bWYNktYD7pG0iZl90BV1bM1zeP4h6TtAP5IGpgAzs1/kfVBSX+BqYFWSL3+Zmf2+49UN\nIYSQpaFP8mg2bMG/qT0rI2wDnAVgZi9LmgJ8kWQy6y7nSUR/B2aSNBE+XsjyZwM/MrOnJS0DjJV0\nT0x+GkJYpJTr0pxnZYTJwNeARyStRpKEXimqQp7D08fMORtnK2Y2A5iRPv9Q0iSSDhCRiEIIi44S\ndVZob2UESUen7w8HfgVcIWk8Se/qn5rZe0XVyZOIHpX0FTN7pjM7SrPvAMA3JXQIIdSLcrWI2lwZ\nIU1Azc/fAXw3o7tAVvftCenTHsBh6TXCT9JtZmZfafuTbZa1DHAzcIKZfdjy3Ssrnm+aPkIIoWBv\nNsFbTd2zr5IlorLJOjxdkg0l9QJuAa41s9sWjDi0K3YTQggLZ7WG5NFsYoFLhZfo0lwZZXXfngog\naaU23nZ14ZMkYATwnJld0JEKhhBCzYsWUSbP4XkKWAv4T/p6RWCGpBnAUWaWNeBmW2AI8Iykcem2\nU83szo5WOIQQak4kokyew3MPcLOZ3QUg6RvAvsAVwCXQ/lrfZvYwOfPZ7eroiPFaiy7v7XudNXJj\nLrIjXWUde/IIV5x+cYcr7gby1yE+gGtcZfWd+qkrzg7LX2oZYMdLm3JjlmFCbgzAvms2uuIG8oAr\n7iD+khtzzZ2+NZ43pPV0Wu3wjVHmmldyh9IBcPBf88eDX/r1E11l3Wy3u+J+oC1dcedb/uWorba8\n2FWWZ/AxgPn+y7DMv9/Ojem9dPbIzWb/PDp/SfH1b3AV1TGRiDJ5Jj3dujkJAZjZ3em2xwDfb7oQ\nQliU9ajiowZ48vQb6TThN5DMqrAf8GY6g+u8IisXQgh1IVpEmTyH5yBgKNDc4+0RklG4PSh4IrwQ\nQqgLkYgy5R4eM3ubZG2KtrzUtdUJIYQ6VCOXyKola0DrhWZ2gqS27o6ame1RYL1CCKF+RIsoU9bh\nuTr99/w23vNMIx5CCAEiEeXIGtA6Nv23SdJSQF8ze77bahZCCPUiLs1lyu2+LWkPYBzJTK1IGiBp\nZNEVCyGEutGzio8a4KlmI8kysvcDmNk4SesWWakQQqgrNZIQqkVm2bd7JI02s0GSxpnZgHTbMwsz\n+3ZG2cah+bebbA/fyPne33o5N+YA/uoqq8G3tjB7jrzbFffnPVqvO7WgHXW9q6x19/LdorOJvuOm\nD/LL+9UbP3KV9RcOcsVNGN3uhBwteZbics6EoIudx20T33FzTOSR7Pdtx34v95VFk28Je/61uSvM\nHsz/rrcO29VV1j7yLXW/tq3jipv6omMmDOcKOZrqOAcHCDNznnw/SWY3dXWpC7H/b1PI9+pKnjw9\nMV0qvKek/sDxwKPFViuEEOpI3CPK5Jni5zhgI5K1iK4H3gd8E2MBknpIGtdON/AQQqh/cY8ok2dA\n6yzgtPTREScAzwHLdvDzIYRQ20qWECQNBi4gaatdbmbntHr/JOA76cuewAbAKmY2s4j65B4eSV8E\nTgL6VcSbme3k+OyawDeBs4D/1/FqhhBCDSvRpbl0ntA/AF8DpgNPShppZpOaY8zsPOC8NH434MSi\nkhD48vRNJMs9XA7MTbd5B7T+DvgJsNzCVy2EEOpEuVpEA4GXKhY/vQHYE5jUTvxBJLdlCuM5PLPN\n7JKFLTjNom+l3b0b2g0c1/jZ89UboHf7oSGE0GUmNsFzTd2zr3Iloj7AaxWvp5EM0VlAOpnBLsAP\niqxQ1lxzK5Es+3C7pB8Ct5J0WADALHdFu22APSR9E1gCWE7S1Wb23RZRAxo7VvMQQuiMjRqSR7Nb\n8hcJ7LBuvDTX9BQ0jcsMWZgp2nYHHi7yshxk5+mnaFnhkyqeG5A5qNXM5ndwkLQDcNICSSiEEBYF\n3dgiahiYPJoNu2KBkOnQYtnrviStorYcQMGX5SB7rrl+XbyvmCg1hLBoKteluTFAf0n9gNeB/UnW\nmGtB0vLAV8E5Sr0TuuXwmNkDwANtvffClfkDfi+50refN15ZLzfmgXV8I/obtOCfEW25gY1ccYc/\n6fijwtlB/stnPekLdC7UYRc6Bl2/5SuLVX1h1w/a0xV34Dp/z41pXM23T470hR106AhX3OXLHOGK\n++WHJ+XGnP7sea6ybCnfNBI60fd3n569OTfmx8Pau4fd0jV80xV3sM50xbFtfsjEh52zjTnPfWFK\nlIjMbI6kY0nmD+0BjDCzSZKOTt8fnobuBdxlZv8ruk4lOjwhhFCnStR9G8DMRgGjWm0b3ur1VcBV\n3VGfzEQkScCaZvZaVlwIIYQM8Sd/Js/hGQV8ueiKhBBC3YpElCnz8JiZSRoraaCZPdFdlQohhLpS\nsktzZePJ01sBQyS9CsxKt1lXLAMRQgiLhGgRZfIcnl3Sf5u74ZR6XYsQQiidSESZPLNvT5W0KbA9\nSTJ6yMzGF16zEEKoF5GIMuWuRyTpBOBa4PPAasC1ko4vumIhhFAvrEf1HrXAk6ePBAal6xIh6Wzg\nceD3RVYshBDqxdxoEWWSWfYIbEkTgIHNo2slLQk8YWYbd3rnksHdjshHXOWtad/JjenHVFdZD3/r\n6644G+C8ZeYYAK6Dz/aVxcmuKNvWWbcpjpjsSRTn02znIOzblnCFLX/kjNyYQZ8b7Srrrsl7ueK0\nwR2uOBvkm0ngGUf1jrImV1mjN2hwxb0yaXVX3HrT80++3bakqyzu8oW5ft4AvZM/O8T4Gb6f8U2G\nOGaauFaYWZffA5dkH8/KjyvKEktTyPfqSp48fQUwWtKtJB0V9gL+7Clc0gok6xhtRHJ/6XAze7yD\ndQ0hhJo0p0fuXZACzavivn08nRV+K+kBYDuSZHKomTn/PuZC4A4z21dST2Dpjlc1hBBq09ye1bw2\n92kV9+3jWSp8PWCimY2VtCOwvaQpeetTpDO3bm9mh0Ay0R7w366odAgh1JK5PWqk10CVeNqLtwJz\nJH0BGE6ydsVfHJ9bB3hb0hWSnpL0p3S1vxBCWKTMpUfVHrXA016cl04bvjdwkZldJMlzaa4nsBlw\nrJk9KekC4BTgjJZhV1c83yR9hBBCwWY0wZtN3bKrOTWSEKrFk4g+lXQQ8F2SZWMBejk+Nw2YZmbN\ni+fcTJKIWolFW0MIVbB6Q/JoNqG4pcLnxojWTJ6jczhwDHCWmU2RtC7JANdMZjZD0muS1jezF4Cv\nARM7V90QQqg9tXKJrFo8veYmAsdVvH4F8A54OQ64TtLiwMvAYR2pZAgh1LJIRNk8vea2A4YC/Sri\nzcxyh2imc9Jt2ZkKhhBCrStbIpI0GLiAZIGKy83snDZiGoDfkdyKecfMGgqrj2NmheeBE4GngLnN\n283snU7vXLKLk97dmX4gx+L1gJ33vdyYP//4QFdZh+98vSuOY3xhR3/7gtyYw7jCVdbWpz/t2+kX\nfGG3HbJLbsxe33YOm/+SLwzfJAfst3n+SsUfsKyrrDvu2Me3U+ecIff13doVt9Pkx3JjntvAt88N\n7/XFabZjJgHg6V3Wz405wTmb1/7a1RX3A/JnywD4dGb+7BCLr3CZq6xGeyk/RucWNrPCJFu7q4t1\n20CvtvheknoAz5PcLpkOPAkcaGaTKmJWIJnSZhczmyZpla74nd8ezz2imen65iGEEDqgZJ0VBgIv\nmdlUAEk3AHsCkypiDgJuMbNp0DUNjyyeo3O/pN+QjCf6pHmjmT1VWK1CCKGOlOzSXB/gtYrX04BB\nrWL6A70k3Q8sC1xoZtcUVSHvCq0GbNFq+45dX50QQqg/3ZmIxjTNYkzTR1khnuu2vUjGge4MLAU8\nJulxM3uxC6q4AE+vuYYidhxCCIuK7hzQumnDcmzasNz815cNW+Cq2nSSGXKa9SVpFVV6jaSDwv+A\n/0l6kGS2gUISkWdhvNUljZB0Z/p6Q0lHFFGZEEKoR3PpWbVHG8YA/SX1S4fW7A+MbBXzd2A7ST3S\nqdkGAc8VdXw8l+auJFkK4mfp6xeBG4ERBdUphBDqSpnuEaVTth1LsoJUD2CEmU2SdHT6/nAzm5w2\nPp4hWUfiT2ZW1US0ipn9VdIpaSVnS5pTVIVCCKHelCkRAaQ9oUe12ja81evzgPO6oz6eRPShpJWb\nX0jailjOIYQQ3MqWiLqapGWA/5nZXElfBL4IjDKz2Z7PexLRj4HbgXUlPQp8Hti3oxVubcMWXdfb\nZpPyBzUC3OMYFPiTE3/jKqv3fb4Brefc6xti9UDvwbkxJ8w40VWWl/3TNzZPEx2daG72tcqHmG9Z\n92t7H+WK2/SN/MG7p26XP1gY4NcP+47vqXv7yrvr1vyBwAA7H/xobsxt5ivrQnzLk9+Gr7xNN34h\nN+bACa4FmfmaKwr2tPtccS+QO3kLnOn7OWp0/Vc411VWRywCs28/SHJPaUWSS35Pktx7+o7nw55e\nc2Ml7UCS4QCe92Y5SacCQ0iuMU4ADjOzT7I/FUII9aVkA1qLIDP7KO3IdrGZnStpvPfDnl5z+wFL\nmtmzwLeAv0razPG5fsBRwGZmtjHJTbEDvBULIYR6sSgsjCdpa5IW0D/TTZ6FVwHfpbnTzezGdPLT\nnUluXl1KMk1ElveB2cBSkuaSDIqa7q1YCCHUi3q/R0QyH+mpwN/MbKKk9YD7vR/2JKLmiU53I+nC\n9w9Jv8z7kJm9J+l84N/A/4C7zOxf3oqFEEK9WATuEa1mZns0vzCzlyU97P2wp+k0XdJlJDee/ilp\nCc/n0ox4IsnyEWsAy0hy3bgKIYR6UrIBrUU41bmtTZ5a7gcMBn5jZjMl9QZ+4vjcFsCjZvYugKRb\ngW2A6yqDrmj8bGaJTRuWY0DF1BQhhFCcpvRRvHq9NCdpV+CbQB9Jvwea+ycuS3JrxsXTa24WcEvF\n6zeANxxlTwZOl7Qk8DFJ784nWgcd1rimt64hhNCFGtJHs2GF7aleExHwOjCWZBmJsXyWiN4HfuQt\npLB2m5mNl3Q1ybxG80gW1vOtYhVCCHWkXu8Rpatwj5d0nXdYT1sKvYBoZudS5CixEEKoAYvAOKJB\nkoaS9Alo/rJmZo5RyQUnIo8d9ljgat0CdPunrrI+XX7x3Jj3evrK2tXZ3+MLzuWRV7Yl8mO+7lve\nmT/4wviBL2yze/O/7Ni/b+8qyzeCHfiCb0T802yaG3PTw7u5yuot34wJh9rFrrgrf+U7wMOaGnNj\n+sxtPQt/2949xncpe+TlrjDmrZR/wvRabggA9/jCuO3cg3yBHzvKOsM3g8SeR92dG6PVXEV1SB1f\nmms2gqRz2lN81tPareqJKIQQ6t0ikIhmphOpdkgkohBCKNgikIjul/Qb4FZg/jRuZvaU58ORiEII\noWD12lmhwlYkS5Bv0Wr7jp4PRyIKIYSC1XtnBTNr6Mzn6/vohBBCCdT7pbm0x5yRjCOa3+vKzH7h\n+bx7dtTu0vROtWvQeaOrXYEu8EHTuGpXoVMm1sEP0uym/HWMysy9BsAioGyzb0saLGmypBclndzG\n+w2S/itpXPr4ec5XnJU+PiQZN/pNkq7cLqVrETW9Cw2rVLsWnTMaGFTtSnTSB03jWLZhQLWr0WET\nm95loxr/QZr9wGP0atim2tXosPHAJtWuREmU6R6RpB4kg0C+RrIiwpOSRppZ61VKH6icyDRLuqx4\n5T5+A+T3mU+VLhGFEEK9Kdk9ooHAS2Y2FUDSDSRT9LRORN5RgW1ZGujjDS7V0QkhhHpUsntEfYDK\nYcrTWPAijgHbpKusTgdOMrPn2itQ0oSKl4sBqwKu+0OQLO/qje1ykqq38xBCaMXMOtMKaJMkO81O\n7+pi2/Vq01RebXp1/uuHhz3Y4ntJ2gcYbGZHpa+HAIPM7LiKmGWBueny37sCF5rZ+u3tM12RG5IE\nNgd4a2Hmnqtqi6iIkx5CCGXTnS2iNRvWY82G9ea/fnjYg61DpgN9K173JWkVzWdmH1Q8HyXpYkkr\nmdl7be3TzKZK2hTYniQZPcRC9FeJS3MhhFCwMnVWIFkRoX/ainmdZNHTAysDJK1G0qoxSQNJrp61\nmYTS+BOAo0hmVhBwraQ/mdnvPRWKRBRCCAUrU2cFM5sj6VjgLqAHMMLMJkk6On1/OLAv8H1Jc4CP\ngANyij2S5PLeLABJZwOPA5GIQgghLCidoHRUq23DK57/EfjjQhY7r53nuUo1oDVvkFUtkDRV0jPp\nILD8NS6qTNKfJb1Z2etF0kqS7pH0gqS7Ja1QzTrmaec7NEqaVjEgb3A165hFUl9J90uaKOlZScen\n22vmPGR8h5o5D0Uq24DWAlwBjE7P9zCS1tCfvR+uaq+5Sukgq+epGGQFHNjGIKtSkzQF2DzremqZ\nSNqeZDT01Wa2cbrtXOAdMzs3/YNgRTM7pZr1zNLOdxgKfGBmv61q5RwkrQ6sbmZPS1qGZMnlvYDD\nqJHzkPEd9qNGzkNRJNkP7Pyq7f9i/bhbOoZJ2hzYjrSzgpm5p2cp06U57yCrWlAzvQHN7KGKrpfN\n9gB2SJ9fBTQBpfwFCO1+B6iR82BmM4AZ6fMPJU0iGetRM+ch4ztAjZyHIpWss0KXk7QV8JyZjU1f\nLydpkJm5Zjwr06W5tgZZuUfmlogB/5I0RpJvGdLyWc3M3kyfvwkUuHZloY6TNF7SiDJf1qqUJtQB\nJDNF1eR5qPgOj6ebau48dLW59Kzao5tcCnxQ8XpWus2lTImoHNcIO29bMxsA7Ar8ML1sVLMsuXZb\ni+fmEmAdYFPgDaB610ac0ktatwAnVI7jgNo5D+l3uJnkO3xIDZ6HIiwC94iaf0abn88F/87LlIhy\nB1nVAjN7I/33beBvJJcca82b6TV/JPUG3qpyfRaamb1lKeBySn4eJPUiSULXmNlt6eaaOg8V3+Ha\n5u9Qa+ehKItAIpoi6XhJvSQtno4resX74TIlovmDrCQtTjLIamSV67RQJC2VTo2BpKWBbwATsj9V\nSiOBQ9LnhwC3ZcSWUvqLu9m3KPF5kCRgBMk19gsq3qqZ89Ded6il81CkRSARHQNsS9KgmEayYuv3\nvB8uTWeF9gZZVblaC2s14G/J/0l6AteZmXsq9GqQdD3JDfFVJL0GnAGcDdwo6QhgKknPp9Jq4zsM\nBRrSKUcMmAIcXcUq5tkWGAI8I6m5p9Gp1NZ5aOs7nAYcWEPnoTD13lkhvZe5f0c/X5ru2yGEUI8k\n2T52bdX2f4uGlH5ez9K0iEIIoV6VbBmI0olEFEIIBYtElC0SUQghFKze7xFJ+rmZnZk+X8LMPl6Y\nz0ciCiFnWIMCAAAa8UlEQVSEgpVp9u2uJOkU4EHg28CZ6eZHgc0Wppz6PDohhFAidXxpbjJJElpH\n0sMkU7KtIulLZjbZW0gkohBCKFgdJ6KZJEMNGtLHBiTjJ09Ok9HWnkIiEYUQQsHq+B7RLsDpwHok\n0zc9A3xkZoctTCGRiEIIoWD1eo/IzE4FkDQeuAbYnOTS3CPAe2a2u6ecMk3xE0IIdalsU/x4FyGV\ntKWkOZL2zvmKd5nZmHSV12lmti1wuPf41GeaDiGEEinTPaJ0EdI/ULEIqaSRradUS+POAe4kZ00p\nM/tpxctD021ve+sUiSiEEApWpkSEfxHS40iW9NhyYQo3s/ELW6FIRCGEULCSdVZoaxHSQZUBkvqQ\nJKedSBJRoZOSRiIKIYSCdWdnhVlNY/ioaUxWiCepXACcYmaWLvFR6KSpMft2CCEUSJKtv/BXq7rM\nC9qkxezbkrYCGs1scPr6VGCemZ1TEfMKnyWfVYCPgKPMrJA14qJFFEIIBSvZPaL5i5ACr5OsI3Rg\nZYCZrdv8XNIVwO1FJSEoOBFJGkzSxOsBXF6ZcdP3ozkWQiiNotbtKdM9ovYWIZV0dPr+8O6uU2GX\n5tKuf89T0UUQOLCyi6Aks2+2/FzjC9C4fquyHvXV8YaZ+T9DP5gzzVXWe//q44pjmTa2jWiEIxpb\nbLpo2yNzi1pLI1y73PNm3/GwzXz/p4at89MFtt3f+DA7Nm43/3Xj9GG+fR6+pCtO6zt/7k7Jn8TX\nfr7gPhvHQeOAVhv/7dvl0fdekB8EDN/qRF+B1+SHLL7SfxfYNvecX9Pj5FNbbDts5Stcuxx+vq9u\n2/z43tyYx7STq6wFNaaPlv77Od/P5U8+9p0Hj8vOOiE/6OcqJBFJsjXtxa4u1m2a+i/SC+N5uwiG\nEEJdK9mludIpMhHldhEMIYRFQSSibEUmIte1l8YXPnvesHLyqHkDGqpdg07r17BWtavQKQ2rV7sG\nnadtt8sPKrWGalcg2ytNMKWpW3Y1d14koixFJqLpQN+K131JWkUttL4fVBc2a6h2DTptnVpPRL2r\nXYPOW2y77atdhU5qqHYFsq3bkDya3e+7D9oRc+ZEIspSZCLK7SIYQgiLgrlzYqRMlsKOTntdBIva\nXwghlNXcaBFlKjRNm9koYFSR+wghhLKLRJSt+u3Fsxwxp+aHABxwTH7/iIt7+rrT/2B151idxXzl\nTXs9P+ZWV0lgn/r2ufJazjFT388fM3XOJce5ytKDvuM26xHfd1h6cn55jf9yFcW3rL8rbvh9vjE4\nGn2xb8e3fj83xHb2HY8VlnnDFTd8tO87PDp859yY9z/nKorlP5nhi3vE9zNyKmfkxvxq71+6yvq/\nv+Ufjz1dJXXMnNmRiLJUPxGFEEKdmzc3ftVmiaMTQghFi0tzmSIRhRBC0SIRZYpEFEIIRZtT6qne\nqi4SUQghFG1OtStQbrmJSNISZvZx3rYQQgjtiESUydMiehTYzLEthBBCWyIRZWo3EUnqDawBLCVp\nM5JlYw1YDliqe6oXQgh1YHa1K1BuWS2ibwCHkizncH7F9g+A0wqsUwgh1Je51a5AueWu0CppXzO7\nuZCdS+ZavvLLQ3wFfik/xI5y9l6Z4gvb5ejbXHF3P5A/bnuDHZ5ylbUhz7nibpnoO242Pf+YXLmL\nqygOG+NceXWLS3xxvOmI6eUqaU3bzxU3jKGuuP0/+asrbplNHb+FTnEVxecP8S0zuwrvuOIm9c+/\nwn7bi76Tv9cjd7ni2O73rrDb7e+5MbsfnL/CLIDtnf8zrr2LWSpckvFAMSthu+yw4MqzkgYDF5DM\nA3q5mZ3T6v09gV8A89LHT8zsvqKq6LlH9A9J3wH6kVRagJnZL/I+KKkvcDWwKsllvcvMzPdTGEII\n9aJE94gk9QD+AHyNZLmeJyWNbDUp9b/Mkr8EJG0M/A34QlF18iSivwMzgbHAwvaUmw38yMyelrQM\nMFbSPTELdwhhkVKiRAQMBF4ys6kAkm4gmWpv/u9lM5tVEb8MOJvYHeRJRH3MzHlhpiUzmwHMSJ9/\nKGkSSQeISEQhhEVHuRJRH+C1itfTgEGtgyTtBfwa6E3SZ6Awru7bkr5iZs90ZkfpAnkDgNGdKSeE\nEGpOdyaiCU3wbFNWhOuGlZndBtwmaXuSm/lf7HTd2pHVfXtC+rQHcJikKcAnn9XRvuLdSXpZ7mbg\nBDP7sOW7lYsfbJA+QgihWE3PJo9u0Z2JaIOG5NHshgWWQJ8O9K143ZekVdQmM3tIUk9JK5vZu11W\nzwpZLaLdu2IHknoBtwDXphm2lb27YjchhLBQGr6cPJoNu7HAnZVrHNEYoH96lep1YH/gwMoASesB\nr5iZpeNIKSoJQUYiqriRtVIbb3/gKVySgBHAc2Z2QUcqGEIINa9E44jMbI6kY4G7SK54jTCzSZKO\nTt8fDuwDfFfSbOBD4IAi6+S5R/QUsBbwn/T1isAMSTOAo8xsbMZntwWGAM9IGpduO9XM7uxohUMI\noeaUq7MCZjYKGNVq2/CK5+cC53ZXfTyJ6B7gZjO7C0DSN4B9gSuAS0i6ArbJzB4GFssq3K44OLcC\nesQ5oPVIR0zu6Kd0n0s5lwpf1Tf+TSPzy5vU6Ju+77nZm7vimJV/bAGeezo/5rBLnUuA7+A7HnPm\n+AahLr/Xp47CXEXRwJ9ccUfIN7p0Jte74k61/CWvb3deCZ+wVrv/3Vq49t/7uOKGrHxLbsz1zkW0\n7XHn/4W9fD9Lu+v4/KA/uIri+m95vkP+ANoOK1kiKpvMJJHaujkJAZjZ3em2x4DFC6tZCCHUizlV\nfNQAT4voDUknAzeQzKqwH/BmOjp3XpGVCyGEulAjCaFaPInoIGAo0Nzj7RGSHhY9SJJSCCGELJGI\nMuUmIjN7Gzi2nbdf6trqhBBCHYpElClrQOuFZnaCpNvbeNvMbI8C6xVCCPWjXOOISierRXR1+u/5\nbbxXxTnNQwihxpRoHFEZZQ1oHZv+2yRpKaCvmT3fbTULIYR6EZfmMuV235a0BzCOZBQukgZIGll0\nxUIIoW5E9+1Mnl5zjSRThN8PYGbjJK1bZKVCCKGu1EhCqBbPUuGjzWyQpHFmNiDd9szCzL6dUbZd\nZEd0tpj5jht/eW6M/dQ5+vtXvttgQ7fwlXe35S9p/JgedJVljy8wm26bdIrzVl5T/owDA219V1FP\nyLfPgc4VmZ94dZvcmAvWbq9TZ0snbHmZK45v+cK0j3P2Dcd37f2ll11lzbjF9zfgJvs87oobf9RW\nuTH2gO9cNbwwKj8IeEBLuOLs4R1zY3Sz82fc07/3Hwsuqd0VJBknVfG2+nnFfK+u5GkRTUyXCu8p\nqT9wPPCodwfpwNcxwDQz65IZvUMIoaZEZ4VMnil+jgM2IlmL6HrgfeDEhdjHCcBzRE+7EMKiKu4R\nZfIMaJ0FnJY+FoqkNYFvAmcB/2+haxdCCPWgRhJCteQmIklfBE4C+lXEm5nt5Cj/d8BPgOU6WsEQ\nQqh5MaA1k+ce0U0kyz1czmdXOnMvs0naDXgr7WXX0F7cHY1PzX/ev6E3/Rt6O6oUQgid9E4TvNvU\nPfuKe0SZPIlotpld0oGytwH2kPRNYAlgOUlXm9l3K4O+6VyDJ4QQutQqDcmj2Yu+3qgdEpfmMrXb\nWUHSSpJWBm6X9ENJvdNtK7WzfHgLZnaamfU1s3VIlpm9r3USCiGERULJOitIGixpsqQX02V+Wr//\nHUnjJT0j6RFJnR6ukyWrRfQULS/BnVTx3ICFHdQaveZCCIumEt0jSofU/AH4GjAdeFLSSDObVBH2\nCvBVM/uvpMHAZUD+oLMOypprrl9X7cTMHgAe6KryQgihppTrHtFA4CUzmwog6QZgT2B+IkpX4G42\nGlizyAp57hEV6jgNyY1pNN+I7aGb5g8edt/scq49e4wt74o7rufOuTFfNt/oemmoKw7f4Hr42lG5\nIWfKNzD764N8u3zTOc579Z75DekTG4e7yjpxzF6uuO8/OSk/CPgVP3LFaXT+d7BjfAdkmu+rspm9\n6orrdfb7uTE60XkxY4QvbJL3b9yN80Nsju+4rTop/3i8XeTcA+W6R9QHeK3i9TSSadzacwRwR5EV\nqnoiCiGEutediejdJnivKSvCfZtE0o7A4cC2natUtsxEJEnAmmb2WlZcCCGEDN15j2i5huTR7KUF\negNOB/pWvO5L0ipqIe2g8CdgsJn9p4tr2YKnRTQK+HKRlQghhLpWrntEY4D+kvoBrwP7AwdWBkha\nC7gVGGJmniljOyUzEZmZSRoraaCZPVF0ZUIIoS6V6B6Rmc2RdCzJGnM9gBFmNknS0en7w4EzgBWB\nS5ILY8w2s4FF1cnTItoKGCLpVWBWus26YhmIEEJYJJQoEQGY2SiSq12V24ZXPD8SOLK76uNJRLuk\n/zbf4Cr1uhYhhFA6JRpHVEae2benStoU2J4kGT1kZuMLr1kIIdSLct0jKp3c9YgknQBcC3weWA24\nVtLxRVcshBDCosFzae5IYFC6LhGSziYZKvn7IisWQgh1o2T3iMrGO6B1XjvPO+1Uuy835mCudpW1\nXr/8cVp3TPXd4vrLPb5R+NP1X1fcFmfm1+0K5+wFe3/OFcZy9/riOCQ/5OE/+orS6MtccZuYY9g8\nMIqG3Jgf4qvcpT/7lSvu63s/7IrT3x5yxY2yhvygka6i6Lumbyyi7eK8lTvFEXOWr6hzv32sK24o\nvlmub3w2///WG3aGq6y3+qydG1Poze9IRJk8iegKYLSkW0nO1V7Anz2FS1qBZB2jjUjuLx1uZt6J\nZ0IIoT5EZ4VMns4Kv5X0ALAdSTI51MzGOcu/ELjDzPaV1BNYuuNVDSGEGhWdFTJ5lgpfD5hoZmPT\neYe2lzTFzGbmfG55YHszOwSSQVSA7zpWCCHUk7g0lym31xzJNA9zJH0BGE4yL9FfHJ9bB3hb0hWS\nnpL0J0lLdaKuIYRQm0q2MF7ZeO4RzUunhNgbuMjMLpLkuTTXE9gMONbMnpR0AXAKydQR8z3U+Nky\nRWs1rM3aDf3clQ8hhI5q+iR5dIu4R5TJk4g+lXQQ8F1g93RbL8fnpgHTzOzJ9PXNJImohe0bd/DU\nM4QQulTD55JHs2EfFrizuEeUyZOIDgeOAc4ysymS1iUZ4JrJzGZIek3S+mb2AsmytBM7V90QQqhB\nNXKJrFo8veYmAsdVvH4FONtZ/nHAdZIWB14GDutIJUMIoaZFIsrk6TW3HTAU6FcRb2a2bt5n0znp\ntuxMBUMIoebFPaJMMsseqS3peeBE4CkqrnSa2Tud3rlkf7E9c+MOGnubqzybkD82Wtc5R6a/7Btn\nfY5nZDpwt92eG3PvsbvnxgBoY+dKv4OdP/39HDGPe24LAlv9yRV2u93gihvyyXW5MTMv7e0q62Pn\npPZLOM+pnnf+LE3M/1k67YzTXWWtr1+64g5r8NVt6v2r5sb0029dZcEQZ9xHvrDV8zvZ2uHO+RAc\nw+h1H5hZl0+wIMmQe3Xurmcq5Ht1Jc89opnp2hUhhBA6oop5qBZ4EtH9kn5DMp5ofmdHM3uqsFqF\nEEJYZHhXaDVgi1bbd+z66oQQQiiapMHABSRLhV9uZue0ev9LJPOMDgB+ZmbnF1kfT6+5hiIrEEII\noftI6gH8gWRIzXTgSUkjzWxSRdi7JL2efcsQdJJnYbzVJY2QdGf6ekNJRxRftRBCqBezq/hYwEDg\nJTObamazgRuAFr3GzOxtMxvTXgFdzTPX3JXA3cAa6esXgR8VVaEQQqg/pZpsrg/wWsXraem2qvHc\nI1rFzP4q6RQAM5stKYZnhRCCW3cOJHoIyFzcsXR9+DyJ6ENJKze/kLQVsZxDCCEshO78233r9NFs\ngYlwppOsotCsL0mrqGo8iejHwO3AupIeBT4P7NtVFfgq+cstb7K5b1HXVTd/NTfme4de6CqLtXxh\np5ztHNTYJ3882bIvvOXb6TK+YV0b2GquuEm7bZYfdKarKHYy3+DS3fv71jG3Yx3j8F7LDwFYYitf\nnHf5RuvvGyM46Jqm3Jgn5PuBm7W0b0Drjo6BqgB3s0t+0Oq+garLT53hivvD53xLih889ubcGB3r\n/OP+SkfMl4oc81mqqRXGAP0l9QNeB/YHDmwntlsGwnp6zY2VtAPwxXTT8+kNrlySTiUZbj0PmAAc\nZmbdNfF6CCGURHkSUbqsz7HAXSTdt0eY2SRJR6fvD5e0OvAksBwwT9IJwIZmVsgc5Z655vYD7jSz\nZyWdDgyQdGbegNY02x4FbGBmn0j6K3AAcFXnqx1CCLWkXLfV09lyRrXaNrzi+QxaXr4rlOfS3Olm\ndmM6+enOwHnApSRdALO8T/JnwFKS5gJLkVybDCGERUx5WkRl5Om+3TzR6W7An8zsHzgWxjOz94Dz\ngX+TXIecaWb/6mhFQwihdpWq+3bpeFpE0yVdBnwdOFvSEvgGwq5HMmt3P5JedjdJ+o6ZtZhO+fzG\nz2bi3bqhF9s0OGd5DiGEzhjdBE80ddPOokWUxZOI9gMGA78xs5mSegM/cXxuC+BRM3sXQNKtwDZA\ni0T048b8qd5DCKHLDWpIHs3+OKzAndVGy6RaPL3mZgG3VLx+A3jDUfZk4HRJSwIfk8xr9EQH6xlC\nCDUsWkRZPC2iDjGz8ZKuJumzPo9kYb3LitpfCCGUV7SIshSWiADM7Fzg3CL3EUII5RctoiyFJiKP\nj8i/R/T0SVvnxgDJ8Kwc77/oK4rTfGEvn+ybSUD7zsuNsS08nRhhe7vbFffQ9Zu74uRYVvrik3wD\nrO/gRlccL73pCnvvhCVyY1Ya+rGrrG0m+GZzOIi/uOKO/dkIV9zoAQ35Qde4ioKVfGF7MtIVtxr5\n5+HdN5Z0lbXSxr7zwMm+sCH/zf+Z09O+mRU2+WL+7CzjXSV1VLSIslQ9EYUQQv2LFlGWSEQhhFC4\naBFliUQUQgiFixZRlkhEIYRQuEhEWSIRhRBC4eLSXBZfN61uNLrJ2fOmxB5vqoOVLl5qqnYNOqVp\narVr0HlNk6pdg85pKmTBgFo1u4qP8ithIqr9X+Kjmz6tdhU67+WmategUyIRVV/TrGrXoExi0tMs\ncWkuhBAKVxstk2qJRBRCCIWrjZZJtcjMueZ7ETuXqrfzEEJoxcx8U4gshOT33PldXexC+HEh36sr\nVbVFVPaDE0IIXSNaRFni0lwIIRQu7hFliUQUQgiFixZRlqreIwohhHpXhnvhZb8NUqpxRJIGS5os\n6UVJzsniy0XSVEnPSBonqfQr0kr6s6Q3JU2o2LaSpHskvSDpbkkrVLOOedr5Do2SpqXnYZykwdWs\nYxZJfSXdL2mipGclHZ9ur5nzkPEdauY8FMXMVO1HtY9BntK0iCT1AJ4nWVJ8OvAkcKCZ1dSwPklT\ngM3N7L1q18VD0vbAh8DVZrZxuu1c4B0zOzf9g2BFMzulmvXM0s53GAp8YGa/rWrlHCStDqxuZk9L\nWgYYC+wFHEaNnIeM77AfNXIeQvWUqUU0EHjJzKaa2WzgBmDPKtepo0r/F0gzM3sI+E+rzXsAV6XP\nryL5hVJa7XwHqJHzYGYzzOzp9PmHwCSgDzV0HjK+A9TIeQjVU6ZE1Ad4reL1ND77Qa4lBvxL0hhJ\nR1W7Mh20mpk1L935JrBaNSvTCcdJGi9pRJkva1WS1A8YAIymRs9DxXdoXha15s5D6F5lSkTluEbY\nedua2QBgV+CH6WWjmmXJtdtaPDeXAOsAmwJvUN0RhS7pJa1bgBPM7IPK92rlPKTf4WaS7/AhNXge\nQvcrUyKaDvSteN2XpFVUU8zsjfTft4G/kVxyrDVvptf8kdQbeKvK9VloZvaWpYDLKfl5kNSLJAld\nY2a3pZtr6jxUfIdrm79DrZ2HUB1lSkRjgP6S+klaHNgfGFnlOi0USUtJWjZ9vjTwDWBC9qdKaSRw\nSPr8EOC2jNhSSn9xN/sWJT4PkgSMAJ4zswsq3qqZ89Ded6il8xCqpzS95gAk7QpcAPQARpjZr6tc\npYUiaR2SVhAkg4WvK/t3kHQ9sAOwCsl9iDOAvwM3AmsBU4H9zGxmteqYp43vMBRoILkcZMAU4OiK\n+y2lImk74EHgGT67/HYq8AQ1ch7a+Q6nAQdSI+chVE+pElEIIYRFT5kuzYUQQlgERSIKIYRQVZGI\nQgghVFUkohBCCFUViSiEEEJVRSIKIYRQVZGIwiJL0jBJO7exvUHS7enzHSRtXfHelZL26c56hlDv\nYoXWUBfSkf3Nc7K5mNlQR9iOwAfAY80fW/jahRCyRIsodAlJS0v6p6SnJU2QtF+6fXNJTels5HdW\nzJ3WJOlsSaMlPZ+OzEfSRum2cemMzeul2/9fWu4ESSek2/qln72KZOqYNSvqs6WkW9Lne0r6SFJP\nSUtIejndPr91o2RRxkmSxpJMRYOktYGjgR9Jeqq5jsBXJT0i6eVoHYXQedEiCl1lMDDdzP4PQNJy\n6SSYFwG7m9m7kvYHzgKOIGlZ9DCzQenUTkOBrwPHABea2V8k9QR6StocOJRkwszFgNGSHgBmAl8A\nDjaz1qvhjiOZWgZge5JENRDoxWfLExhgkpYALgN2NLOXJf2VpHH1qqRLqVjYTdKRJAvAbStpA5L5\n4G7pmkMYwqIpWkShqzwDfD1t5WxnZu8DXwQ2IlmfaRzwM1quMXVr+u9TQL/0+aPAaZJ+CvQzs4+B\n7YBbzex/ZjYr/dz2JInk1TaSEGY2B3hZ0peALYHfAl9Ny3qoIlTAl4ApZvZyuu1aWi7mVvncSCcf\nTVcProk1gkIos0hEoUuY2Yski6FNAM6UdHr61kQzG5A+vmJmgys+9kn671zS1rmZXQ/sDvwPuEPS\njiS//FsnhuZ7NbMyqvUg8E1gNnAvSfJqnYhgwfs+eSuKfroQsSGEHJGIQpdIp/v/2MyuA84jSUrP\nA5+XtFUa00vShjnlrGtmU8zsIpJZwDcmSRx7SVoyXV5jr3RbXhJ4CDgReNTM3gFWBtY3s4kVMQZM\nBvpJWjfddmDF+x8Ay+bsJ4TQCXGPKHSVjYHfSJpH0gI5xsxmS9oX+L2k5Ul+3n4HPNfG55tbJftJ\nGpKW8QZwlpnNlHQlybIIAH8ys/HpktRZvdieAFYlaRkBjKeNS2lm9omk7wH/lPQRSQJbOn37duBm\nSXsAx7eqa+vnIYQOiGUgQgghVFVcmgshhFBVkYhCCCFUVSSiEEIIVRWJKIQQQlVFIgohhFBVkYhC\nCCFUVSSiEEIIVfX/AWPuhumfjEr5AAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaQAAAEqCAYAAABa9iSdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f426430d940>"
+       "<matplotlib.figure.Figure at 0x7ff664d466a0>"
       ]
      },
      "metadata": {},
@@ -158,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -175,47 +181,49 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We calculate the mean value of all images, as well as the standard deviation."
+    "To parallelise jobs we use the ipyparallel client."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAEZCAYAAACTsIJzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmBgkSS0mBklSy/8HZ6oU/qFH3FkAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f4264087320>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "plt.hist(mean, 50)\n",
-    "plt.xlabel('mean')\n",
-    "plt.ylabel('counts')\n",
-    "plt.title('Mean value')\n",
-    "plt.show()"
+    "from functools import partial\n",
+    "\n",
+    "def parallel_stats(input):\n",
+    "    return input.mean(), input.std()\n",
+    "\n",
+    "p = partial(parallel_stats)\n",
+    "results = view.map_sync(p, fake_data)\n",
+    "\n",
+    "p_mean= [ x[0] for x in results ]\n",
+    "p_std= [ x[1] for x in results ]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We calculate the mean value of all images, as well as the standard deviation."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEZCAYAAAB4hzlwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQ0GS1Pr/v0wm6JMDJUQAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEZCAYAAACNebLAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f42640ac7b8>"
+       "<matplotlib.figure.Figure at 0x7ff664135eb8>"
       ]
      },
      "metadata": {},
@@ -223,12 +231,40 @@
     }
    ],
    "source": [
+    "plt.subplot(221)\n",
+    "plt.hist(mean, 50)\n",
+    "plt.xlabel('mean')\n",
+    "plt.ylabel('counts')\n",
+    "plt.title('Mean value')\n",
+    "\n",
+    "plt.subplot(222)\n",
+    "plt.hist(p_mean, 50)\n",
+    "plt.xlabel('mean parallel')\n",
+    "plt.ylabel('counts')\n",
+    "plt.title('OParallel Mean value')\n",
+    "\n",
+    "plt.subplot(223)\n",
     "plt.hist(std, 50)\n",
     "plt.xlabel('std')\n",
     "plt.ylabel('counts')\n",
     "plt.title('Std value')\n",
+    "\n",
+    "plt.subplot(224)\n",
+    "plt.hist(std, 50)\n",
+    "plt.xlabel('std parallel')\n",
+    "plt.ylabel('counts')\n",
+    "plt.title('Parallel Std value')\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {