Gadfly demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "<img src=\"gadfly.svg\" />\n",
    "<h1>Plotting for people who miss ggplot</h1>\n",
    "</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "using Gadfly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "set_default_plot_size(7inch, 7inch/φ)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "srand(5); x = 1:100; y = cumsum(randn(100));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5qsgYY4zpc2wENMvz6j5d6BpMn9DxLviMBtsJb7rK8xJRz1t6TKHrMMYMXPnMQhZAs1QdO73G5KLjKXjI9ALFpuBNV8kRqoFIoaswxgxc+cxCwXw9qPfzryt0BaZPqOhwFzxkeoH6VOepHtNP+H76qWAwECh0HcaYgcyykDG9j6owV1PM1YM7vG6ufpK5Oi8/RRljjDF9j03BZ3le4uZC12B6uWcpAQJ0NgXvWy9Q03W1tfVnxGKJswtdhzFm4MpnFrIAmqUqRxW6BtPLpagAINTpFHwDwniuV/vfl8mZ4zAWZHyh6zDGDFz5zEK2BjRLVS4odA2ml1MqAGUljR1et50GKijiBMYAK/NSm+nzQqHSBwKBjVLoOowxA5dlIWN6o7l6BPO0sxZMbdeuY64e18MVGWOMMX2STRFmxWL1Txa6BtPrVaCd9gDNEOsFarrG8+ovisXqP1XoOowxA1c+s5BNwWeJ6LZC12B6OaUc6WQD0s5rGxALoKZLWhwHm4I3xhSMZSFjeqMn9L3M1YU5XTtPf8o8/WkPV2SMMcbsRVVFVSeq6qmqerKqjlHVXvUHrk3BZ8XjSw8tdA2ml5OcjuHMUJbZFLzpiuefXz5i/vyVIwtdhzGmb1PVkU0+s7akuGNJIzcnmrhla5o7m+ESVR3e0b35zEI2BZ/l+4HbgVMLXYfpxbo6Be9guwlNzoqL02erpkuA3xS6FmNM36SqgRb48Avb+MK9a6iMbSMAcPwQ0heOJuwOohm4d1/35zMLWQDNEtEFha7B9Hq5j4A6NgJqusb3WSWiRYWuwxjTp1U2Jjn2kfVU/nktoS2pzLryxc04E4oIV5dwHB0E0HxmIQugWa4b/lKhazC9nEM5uQbQNA04jGCOlnGOdNw31BigpqbqsULXYIzp8w5anWR4XTPSFj4BNiWRJU04q1sY19HN+cxCtgY0Kx6vP6fQNZheTilHyW2H4NOsQkhSzsQersr0E7HYm1MWLqybWug6jDF9WmtFgGRxO+muLICWB2ju6OZ8ZiELoFm+z9WFrsH0ehVIjiOg14uPsgLHpuFNbkSCx6XTzsmFrsMY06fVDQuy/JShpKeWoW0/nF4Oxw9GR4ZY3NHN+cxCNgX/Fv11oSswvV4FsKEL11szetMVtapp+0w2xhyILSUB7jljKJXVJZz2vkVUTChGbz2YxoNLmVOqPNzx7ZaFjOl95upfeUK/nPP1T+gfmKvX91xBxhhjzO5UtbhFdVp9k36KuaoTntGV21P6kWbVQ1S1uND1tbEp+Kx4PGFT8KYzuU/Bgx3HabokHq87zvPqTyp0HcaYvk1EWopFXql6hicAlrfSVBGUP5WIvCEiLR3dm88sZAE0y/fFNiGZzpRDjn1AM5bZcZwmV6rOFFUOK3Qdxph+QpgAgNJh8/ld5TMLWQDNUpWrCl2D6fVy7wMKmRFQLICa3KRS+piI80ih6zDG9BvjEdYCQ5irOa0vz2cWsgXvWTU1lfMLXYPp9SroygioTwNCJaqCiHZ+gxnIZswIryp0DcaYfkSoRIkDZxJgGLCus1vymYVsBDTL8xL7PBnAGAAk9yl4VZWfTmUbUPynVZysqiNVVTq90QxYsVjduZ5X96FC12GM6TcmAIuAJKncpuHzmYUsgGapSoenAxgDVOB0PgWvqhUtKc68dBSfL3VIph2+uT3F1xvTnKOqQ/JRqOl7RJxBqs7gQtdhjOk3JqAsQ9iEk1sAzWcWsin4rNLSpncXugbTyyllSOcjoC1w0mvNfPnpLRxTGiB41ypmrmvlxNOGcewRpYRU9e8ikspHyabvCIW2/6WoqMhGyY0x3UOYiLIcZWOuG5HymYUsgBqTi2e0lBaCuQTQ5hRve3Yrx92ynJKNSeTxzQReb6ZEoaaqlDNGwPPA8jxUbYwxZuCagMMyYCPKiEIXsyebgs9qairt5HQAM6C1UA7A9s6n4DelGP/yDgJLm3hrNGt5M+Jtx1ndwnhgfM8VavqqZLLiQ9u3F32s0HUYY/qBR7QYZRRJVqBsRHIbAc1nFrIR0LfoG4WuwPRiPuU45BRAbQ7V7A9V3QBaVOg6jDH9QDnj8PEJshJhI36uvUDzl4UsgGZFo+FPFboG04sJFUAT50u6s0uHF7HiyHL8SaVo2yjohCKIVKCjQ6zEpt9NO6LRsPUANcZ0jzSVCKuZKSme0A25joDmMwvZFHxWbW3DjELXYHq1nJvQlzo8dvxgnvnyRJrOGk5qeAj9ciXNbxvKgsEO/wbW9Gyppi+aPz8x1vOW2fIMY8yBy5yCtCz7n3PehJTPLGQjoFkiehNwaqHrML1Wzk3og/DMoSXcOLGI09PK0c9u5YSPjGF2ufBkUYD/2g54055gUM5Q9UuA3xS6FmNMnzeRttm2LqwBzWcWsgCa5Tg6p9A1mF4t5yb0IrJdVZ8oBm9VKydsTXFqcZCbimGdiPg9XKfpo0T8xeDYZ7IxpjtkeoBCZgSU3AJoPrOQfdhlRSLhnxS6BtOrdekc+GzQXM9j+j8CBCvm0cJMC59m3yKR6ucKXYMxpvdRVQcY1Zjm+FYlsi3NkKEBVjtQWx7kRRHZ0s5tE4CnAPDZSCC3Nkz5zEK2BjTL8+o+XegaTC/mUI7kHkDf8l82AWkcRnV/UaY/8bxE1POWHlPoOowxvcvWrQzdnOJTC3fw6/9by7W/XsHn5mzk+sXN3JaE81S1vcHE8QgrABA25LoGNJ9ZyAJolqpzYaFrML1azmtAd3O9+AgbSFkANZ2RI1QDkUJXYYzpXYoGM21dK1f9cBkjP/UGRd9roPizb1By+yom70jxRTLrPXcnVOJnp+ADbASGMLfdoLqbfGYhC6BZjoNNwZt9U8rx92MENHPvOiSPAVRVmKtD8/Y80y1UU88FAv7Tha7DGNO7tCaJ1jVT/Pd1OG3ruLamkDkbkEQLFcDRu93Q1oTez25CamUjmRbVnX4v5DML2RrQrEikyjYhmY7kvAmpHXkJoKoqQNVjmzjh5ckMuVL1EWCZbXzqG6LRyYsLXYMxpvfRAKXbfVT3+LmvsClJACjb7RdtTeiHsQqAM9jKPFLZ4zjXd/SsfGahfjcCOuviWSfOunjWiV29z/MSN/dEPabf2L8p+Ix1wMhurGUvqjqq2eerW1L8fX0rN5UFuH5LijlNPteo6kE9+WzTPWpr68+IxRJnF7oOY0zvUqTUVRWj1aW8lUGDwORSmFxCM7D7H69pKoHVzJAkACIKbMLpfB1oPrNQvwqgV370srGCPgic1tV7VeWo7q/I9CP7H0CV9T05AqqqgSafi57byucve51psxYz+qtLGXXZG0x7YRtfTML5qnbEY2/nOIwFsUb0xpjdlAZ4cXwRz39xPC2jQ5kQengF/ifHsnVMiGeB2G437NqEfqcNuRzHmc8s1J8CqKSCRb9R0cdF9hqp7pSqXNATRZl+Y/92wQM4rMPv0Sn4cGOayCMbGDFnI4ENKWRTCnloA86jGxm6IUkUCPfg8003CIVKHygtbfpzoeswxvQ6K0Y4fP3SsdwvQsu4YpomFrPqg6O4uyjA90SkcberlfGQ3QHfRtiYywhoPrNQv1kD+vlLLr8a9ef6jhSJZs7f7oqamsqVPVGX6Te61Ad0N5lNSD3ZXmf46haGrmiFpvTO/+43p5FlzTgrmxk1JsSwHny+6QaHH37Q/i7xMMb0YyKSBJ77xCu6anUrF759OL+dt5kTSx2uFpHWvW/Y5RSkNppbM/p8ZqF+MQI66+OzZqjozJ/f9Yv9XrvgeYmHu7Mm0+8c6BrQnhwBbRpWRPMgZ+8/vIYE0eEhtgNNPfh80w08r/78eLz+Y4WuwxjTO92xhsOAxKPruHV7msmygH3N9k5kzyl4ye04znxmoS6PFPZGsy6Z9bCgJT6sFjgcEBVuue33t93Vds2iRWsrUqnGB4C6SCR8WSzWcLTj+N/3ff1HNFp9q+fVeSKyDvSmSKT6X55X9wMROSqZTH9ixozJDZ5X95CI40ciVefW1i6tCgSc36rKfNet+trChYl3qvIlkLsjkao/eF7iSyK80/eda6PRyhc9L/FbEaqg5NwdO5J+eXn6IVUaXDf8iXg8UQP8UJV/uW74Js+r/6iIXuz73BqNhv8RiyW+5zgcA1wWiYTrPC/xABB03fA58fjyCZD6PRCLRMJf9rylbxdxrvF9/VM0Wn1nPF5/Bei7Qb8ZiVQ/53n1vxLRyU1NyfNGjKClsTH0MMiKSKTqktrapZFAwPmJ78t/otGqH8XjdReAfBzkZ5FI1RzPS3xbhON9P/25aHTyYs9L/E2Vsmg0fHZtbcO4QMC/S5WFrhu+Kh6vPx30q8CfI5HwHZ6XmCXCe32f66LR8DPxeOI24BAROX/Dhsptw4fX/1OV1a4bvmjhwmVHqqZvBn0iEqm+0fPqzxfRT/m+3haNVj8Yj9dfB3oS+LMikUmve17dX8AZ6rpV73jppaWjfd/5o+/romi0+spYrO40x5Gvq8pfXbfq9ni87rMg7wfn25FI5dOel/iZCIclk0UXHHXU2A0LF9Y/6vusi0bDF9bW1k8LBPSnqjzpuuHvDnky/eYVZZu3n1e07duRSPh+z0t8Q4RT02m5oqam6pVYLHGP4zBq+vSqty9YsGpEKNR6ryqvuW748x98ZvsVTyRLfvDE0GVfikSqf+l59ZeJ6Ad9X78XjVbPi8frbwE9wnH8jx555KQ1nlf/b/A3u271h+LxpYeCMxvkv5FI1Q2xWN25jiOXq8pvXLfqvni87muO45w58eDxS/+9NXDhj5dROn9b5r/zNRXw9Sr8E2RH7ZiR5TM9r36643CDKn933fDseDzxCeDDID+IRKoe97zET0SIpNPOxTU1lStjscQjIjS6bvgDCxYsOzgYTP9SledcN/zNeLz+HNAvgP4uEqm+Nxar/7Lj6Jm+r9dEo9VePF5/J+j4srLkuzdsoLi0NHS/qi513epPx+N1x4J8F+ThSKTqp7FY3SWOIx9R9X/supMe9by6H4pIDQQvjUQmLPe8xBwg5brh98XjiWrgdt+XF6PRqmtjscS7HIcrVeUu1636o+clrhLhLBH56vTpVQs8L3GHCJU7dgTeU14ecqD5QVXqXTf8ydrahhmBgH+jKv903fDNmfCnF4lw8/Tp4X/GYvXfdxw9Op32P1lTM6k+Hq9/UNV3XLf6PfPnv1kZCgXuUNVa163+SjxedxbIVb6vf4xGq++KxequdBx5l6r/dded9EI8nrgdqA4Gy95XVrYjtXWrzFGV5a5bdannJaIi/Mj3WeM48qjva9pxuERVfuq6VQ97XuI7IhznOM5njjyy8k3PS9wPFLtu+N2et2y8SPpOVeKuG746Fqs/03H0y6rc67rh38Xj9V8APSed5ls1NeFnY7HELxyHKclk+gOwqTEUGvmI7+vKaLT64pdeWjrd952bVPVx163+QTxe92GQT/i+zo5Gq//ueXU3iMgJqunLXXfyG/F44j5VBrlu+J2LFtWNSaXkblVect3wl+LxxNuAr/m+3BeNVv0mFktc7jicqyo3uG7Vfz0vMVuEQ4PBwIemTZuweeHC+n+rssZ1wx/1vPrDRfRW32deNBr+XixW/0HH0ctU+aXrhv/P8+q/JaInp1J84aijwq96XuJe0BGuW/322trFowKB0D2q+orrVl9RW1t3aiAg31DV+123+leeV/cZETkvndbv1tRUP+l5dT8VkWnpdPLCmpop6zyv7lGQDa4bvmDhwrqpqvJzVXnadau+7XmJ94vwWd+X26PRqr/GYomvOw6ngfPFSKTyZc9L/FGE0dOnV73jlVeWD02l0n9R5XXXDc/yvPqTRPQ63+fBaDR8WyxW/ynH0fOBGyOR8BOel7hZhCODQb3o8MOrV3te4p8ibItEwufHYm9OcZzAL1T1Gdetvi4Wq3uv48gs0Dsikeo/e17dV0Xk9HTav7qmZlI8Fqu7y3FkXDK5/mwYVhYKBf6mKktct+qz8XjdcSDfAZkTiVT9zA3ieG0AACAASURBVPMSHxfhAt+XH0WjVf+JxRI/dhxc1cAlrjtxRTaMtLhu+LyFC+snqeqvgecjkfA3PK/+3SJ6he9zZzQa/lMslrjGcXg78JVIJFzrefW/F9EJgwfrOY2N5cGOvn9jsbqLHUc+at+/HX//nr153KIVfmjcgiH1gRO2VL63ReWo2qHL1u35/Xvu1nH/d0Kg6d4/nTD4M23fv+/dPG5Dwg+tiw+vdzr6/vX99BMievO+vn+bmwOzjz12wobuyG79IoBeeclnwimCgwAEvUQhhCM/mP272TatbrrHPH0duJLT5J9dvvdJPRKf55kpZZ1fvH9aVKdtbuUra1t570kegwcF0X8dyfYxRdw/IsRPgFclsxPSGGNMXzRP/47P/3ib/Ih5+j/gt5wmv2/nujWkeR+nyzO7/Oyb+BzG26TXHLrTL6bgb73zV4nZd85+afads18iMwq6uqvhMzPSZMw+6AH0AfVZB5Tyby3v1pp2UQSvH1TENYMdProlBRtaaTq4mA+MCPFV4HULn73f888vHzF//soebddljOnTZuDwIgBKLT7Rva5oa0If3GMKXnObgs9nFuo3m5Da/PzO2368P/f5fuB24NRuLsf0HxWk93MTUqbxr1LEKPZ3I1MnRCQNrOVxfRUHafIpK3mAJzm/nQXqplcqLk6frZouAX5T6FqM6Y1UNQDMAA4h87n6jIhsKUAdDjAYOCEN4xQSQXgWaOyxP/Yf1/EoY2lruaTEED6+13VFjAd8/GwT+p02kMMmpHxmoX4xAtodRHRBoWswvdr+t2GaKSmETXk5jtNhIpkPZmEU1oC+D/F9VoGu6PxKYwYeVT10R5rHNiZ5tHYrv1jZwl+3p1nUktL3q2pJHusIpeD0LWliy1r427ObuXVNCw9u83kWerDbiXAU8AYzZXP2n2uBCNfr7jkuyHiENcyU1G4/93PbBZ/PLNTvRkD3l+uGv1ToGkwvNVdLgCApth3Aq6zv4V6gbaqA14EQMIY9W3GYXqumpuqxXf85O8pyODCFzMh5LbDellOYgUZVi5rS3HHPGo6+oZ7QqlZwBD41ltKvV/G7gwLMZM9m7D2kGcZvTXLPzcsYflMDTgoYHESvmci0ayr5g6oe0yOjssLRkJ1+BxjEIrYR5FQOAV576+dKJdCw1/0OG4ERnT0mn1nIRkCzMrt6jWlHmszazf0dAYW2XqD5CKBtJ2CsRhmdh+eZbhKLvTll4cK6qQCqWtXoc8fmJHNe3sEvGpq5a5vPU0m4SFUHF7pWY/Ls+K1pRv94GcEVreArkvKRX65EFm4n1JzibXmrJM0py1so/1E2fAJsTSE/XYE0NFMOnNFDT54B7BydzByzuQilZrer2mtCD+CwARjCfRro6CH5zEIWQLN8n6sLXYPppYQKAIIHtH6zp3uBtpmIZgOoMCYPzzPdRCR4XDrtnKyqoWafGx7ewPvPeomJJ8c4KLqAg760hClLGvlRCo4vdK3G5NnYJU0Emnxg14NmFFncSGCHMi5fhSSVMYkm9jpuMe0jr+2gCBjbQ4+eAczf7SdKLbJHAM0MQuw989XKRjJLszo8lCSfWcgC6Fv014WuwPRSmR3wzXutqenaa+RrBLQSJxtAsQDax9Sqpl8Apm9NM+WOlZTP34ZsTiEbk8gfVuO8uJXBm1s5odCFGpNn66pLSRe3k1iqS0mXC2vyVUhJkNXhMgjK7k3giwLolDJaYa/NPwfuSa0GhrKd2t1+7hBD9tgJ394pSABnsBVIke5sHWj+spAF0KxoNHxPoWswvZQcwDGcbXr+PPg2lfg0IKyxKfi+xXWrFtXUTIoDoxtaKNmYzIyqtP2+1UfebCKwxe+xERZjeqtnhofY+Nlx+EODO4NfyIFiwSkJMjdfhaSbeXpiEdsnl2YClAgMCqKXjUUnlbINeKyz1+gyZQbCK5yzx5nvPrUoUVR37enetgxrd5m145sIdBxA85mFLIBmxeMJm4I3+3Igx3Bm5GsEVJiIUI9Nwfc58XjdcZ5XfxKwZWwRyRKHvY4KGVOEP8hhUyHqM6ZQRKSpRPj0Z8YSv7aKlmnl+IuOYcfl42k6bxHNc9YzZXtav7iiSW/cntYrmpJ6kqoO6olaSkpY/rk3uHNVK/pklG3RClJXTqDp2kpeKxI+3iMbkHyORnfZgNRGiAMVPE71Lj+diN9OAM3YiHa8ESmfWcgCaJbvi21CMu0LHEALpp3WAT3bZHyuDkUZTGb6xabg+xhVZ4oqhwHesABr3jUCf9cP6LOGwzGDYVCgnS8iY/o5EfHKg5x87xoeHhLg+UOLuey6yRwWLmHxtUu5c846bvy/DVzx6EZ+8GYr96ThA9m+oQdEVR1VPVxV366qRx/nEf7bOi4bFODSk4ZwSanDM39fz2MlDkeLyLPd8V73IsxA2Ls90kxpBl7HyU7D36dFKKNobxNSxkac9kdAs+8zOmRIxcWqOkNVQ91U/T5ZG6YsVbmq0DWYXuvAR0B91hHo4b6caSoJ0shpsp4ndA2OTcH3JamUPhYMBhwR2dGq+u25mznm+MGMPLIcfX47zu2Hsm1EiB+XOjxV6FqNKQQRaWKelqHcFwzKPc3NOuVfESbPWEDwwlcRBYod9KOjGX/zwXx3cIC5QGJ/n6eqlY0+X271mb6shbKDQiSb0kyaUMz/lh3PPSKSYp5WoZwuIk3d9kZ3L0KYRw0+17T7e3lrI9L9DGcCgiL7DKAb0L0DqKpO3uHz7WSaKRuHDSsuT/LLsiANqnqdiLzcje9mNxZAs2pqKud3fpUZoA48gAbzsAY0QCWa7f+mNgLa18yYEX5r88Lgp6lo8Rnyx6l8JtHMcfes49wxDmeEHJYAjR28jDH9mzIN4VYACXLsuiZK17TwVnPcFh+5dy3MGk+xW8Ep7GcAVdVQU5rv/2MT77xrFYPXtiDr05lNgS9EGQmMI9Nvcwnw6W54Z+2bx6EIpTTRfhBUYsA7ABAmAKv3uWFW9m5Gr6qh5jS/uH8dJ/52FSVbUw5lAfjIaI74xDhGq+rZIrK1O99SG5uCz4rFEnb8nWmfUoYe8BT8emAQj2hxd5TUrszux8zanzSrUQYzR8t67HmmW8ViibNjsbpzuU+Lmn1+ofCdj4yRO76+lJ9sTTGk6EFeFpEd1ojeDFj/1nKgCuVVABUGb0rh7/k/CAXWtBIgc1zm/pq+Pc0JtzQw9NFNBF7cTqCuCScosDnNEc1pTso+bDFCdWf9NQ/ADJSFnC0t7f7WpxayU/DChA5GPzPnwe89Anr0duWY79ZT9t+tOPEdBJ7dSuCHyyhe2UIkneaUbnofe7EA+hY5pNAVmF7rwHfB+6wDoLQHR0F9JtJ2AkaItSg+g20afk+qKqpa0qw6pTGlF+xI62eSqmeo6ojuWDPWxVrKm1Rnbknqt4eFx31t2KRxX77gSP5Z7lBx32Qy7VAym8qCDGN8Pmszptcp4jBgKzMl02bIZ2lVCVpZsntLpAnFcEgZSWDxATxt8rJWipY0Q3KXbhTrWpHXdhBoVTKZoYk6fIKMpvIAntWRGe1uQGrTgocyisd1PDAh2we6fdLuJqRDljYSWNoMukuP1WXNyKs7CEiAqQf6BvbFpuCzSkub3l3oGkyvdeBT8DOlmbm6DYdR9NTxmJkR0CXZ56WYqxtQxgB1PfK8vmvIliQf3u7zzXVJhm1MohNLSA8P8cKIIF+D/GzyUVVpgZMW7+Dq57Zy3CvbQ8Vb0nD/GkI/PpjYe8ZzrKo+KiLNzNXVOIRp74g9YwaKzPT7K23/2BLkhVFQe/UEjr13DcGVSWR1C86ssbSMC7EQ+N8BPK1pSABtb5RuaAg/4GQHJc6WFubqMpSD6ZnP2hnA7/b527NlK/N0CVCDv48m9G2UjcheI6Dbhxft1XADgJEhfDigI6g7ZCOgxnQm04j+wAJoxnq0R3fCVyG7BRRbB9qOFjhmWSs3XlvHmBnzKT09TtkZcSr+tJpTmpVvq+rQPJUyoiXFO/67hRN/1ED5T1cQ+v1qQkUOhITDdqR4O7y1cS2BEM5TXcb0TsI02BlAB8PmQUGuuHQM//zL4cR+cwivFjukhoV4vjjAl0TkQD63FxwUYsf7R6GlTnaEVeHtw2BaGRQ77LrjfQlw8AE8q333aQAhSmedL5RalJrdlmG1p501oMCzY0K0XDgaZJfm+ueOhCmZXqfz9v8NdMwCaFZTU+nDha7B9FoHPgWfsbaHNyJN3GP6xc6Db0dziqNe3k7p3atx0tmfNTQjf1yDs7yZg4Bj8lTKuI0pxse2EVzStHMTxfY0LNhKYG0rlZA9YlBJgAVQM+BNQ3cGUBHxRcSrCHLhxBKuOnM4148u4qFPvE6DiCw8wGetLhG+N2scDbPGkxwZQu+YSvN3J7F1ZIgfBdltU1C3BVBVDW5XHdOieu7vT+bGAAQajqVRtYP9A5mNSFH2dQxnmzQb2DuAriqGr3x1IusvHEV6Wjl6zzSavl3NlkEBvg4sPfB31T6bgs8S0ZWFrsH0Ug7laLeMgPZcM/rr1QHG7xFA12AjoHvZlmb46uTeGxeafKhvpuTg0s6Oqus24iuOD3ttKkoDKZ9dW9EncKjKU13G9FbTEH6x5w+zLZAy7cme0GUI/2GOlu11clAXiIivqg9OKqZ+VQtXHxRi+ntGcNegIl4szizT2bXh/BLg5K68vqo6wJAUuK0+hzjKdifAghRM3J7k1o2tVC/YSuCIcoJB4enWNF9Q1YdEpHXP1zqknDcSTXxRIXTaUFofVXVExN/roc7eI6DZ9/nX6nIWv9nMTTNK0pPPGh64uRSeDTnUikiyK++rKyyAZrlu+IJC12B6rYpuaEQPmZ3wPRNAT2YsEGTHHiOgFkD3MiTE2gnFSImDNmc3FzjA0ACES2iEvJ0rvWZ4EasPL0MnFKPLWzK1jCuCI8vR0cWsIPPvEDKtZI7NU13G9D5ztAylmvTOEdB2vU2eZ56uopxzgQM6VlJEtgFPMVffDzSMKpbr9nHpEuDSrrx2KxyxNcX3t7RyckMLwSEhZEyI7UOCOLevZOgPG3B2pBEBrk8w5vuTuKMCjqJtnT+gqmXNKY5f0sJ7pr+Y+ay/IcxFjT6jVPUBEVm320PTbMRhCPdpgPOlbQKo7X0+zVxteU4CV/8hJL/vynvZXzYFn1Vb2zCj0DWYXqq71oD25HGcASqB9Xv8xW8BtB0hhxePKGfjxWPwS7OfgIdV4F84muTEEhrI0yYkYG0ZPH7yUGovHk2LAB8epakrJ9J8yhC84SEeZ2cArcem4M1AVsZUhB2c0cEaxzbK3QgXdePTJ6EdTkUvQZmUnYnqlKqWpdLc8OBazjjrJQadHqfs6PmU3rmGkRuTDL8pGz4hMz1y+0pkSSMBfM7Y9XWaoSbRwrVPbOb8ts+y/9vA2c9v4UtJuGCv04wCbERwGMWwfZQ29UMl3THWkhsLoFkielOhazC9VgV+N4yAOqzLHpPW/XwmInt9MK8BWwO6pxJYMKmYr/xoEktOH0YTwN2HsvqScfy7SLjuADcu5ExE/KIAc48s4wc4PFldQuO3xqde/uQ4fju9nBsDMFfkrYbSCZSJPdhr0JjezWEawqvk1gf3j8DpPKVju+npk4A39/nb7SwFipmZc6u0yJY04+5avXP9tw88tB65fDGyzd97U/qSJgLpPT7PW1KcsHAHx/1sOWWN2bU8d6yi6MH1TNrUyunZunc6jS1AinQ7y4we0xHAyE8Xb/5kju/hgFkAzXIcnVPoGkyv1X0joD01BS+7nIK0k42AtkNEthUFuGdwkJmx7ZnprEc38ZVS4UM9eezcPmrZUhzg4duWs2Kok352eEvj7GEBvlcU4CER2bzzQusFagY43X0DUodmSgLhWdJceODPVUGoJtDBCGhm5mllthVTLoavaCXUuMcqzSVNMKYIhgR235Fe5sChZaRDDvW7Xr8tzcQ3mgi82bQzsG5KIi83IvUtjIQ91o1nwvsmAu0EUIepCGtHOKkHcnwPB8wCaFYkEv5JoWswvdagbtmE1JMBVKmE3T+csAC6T9nds6tWtFIM8NWlLBfZx0kjeahlc4qa2qbAHWPGDL1DRFbvtYFgpjQDbb1AjRl4Mi2YFuV8vXI38NEDfu5/GItSht9pj8+u7IRfN7GIlmFBCOwSNFM+fLsa/5th0hOL0eFB9KAi/M+Ox59SyqYUPL7riwTAD7bTwNMBihzSZPYz7qm9ZvQgHIbyaj6zkAXQrFgsceB/KZn+qrxbNiFlAmjP9AGVdtpvBFgDlPAfHdIjz+wPlPFACz317yUXc7UCOOKLJRs31NYujXRwpfUCNQNZ7iOgACn+CkzlMZ1+QE8NMQlYw8xOl+Z0JYDGhwRY+rGxNE0rzwTQYUH0nJH4O1Js/fQ43ngmysq/TGPtM1FW3VDF60OCXFoKu3XrGRTizcPLSLsVO0PsmBAcNwgmFLOO9k+C2ojTzgiocgjC6/nMQrYL/i3yaQ5wx5zpt7pnCj7IOnyGM1eDzHxrbV/3EKrw+fNuPzuZ9cwjSYAx7N4yxAD8S4eT+Xe7oMc2h+XmOIS1F5dsH60aqALi7V5lvUDNQDVXS4BJu56C1BFVDbbAQdEXeXlyMb+7rUnnDw2yqjjIi8XwzG7LWzo3Gelg/Wcb4U2Uo3J5QRFpUdXrPziSYKnDqZ96nVFPR1k7oYgdZSF+GIKHyoqZPr6YMJmZrHnZneq7KXZ46vByHvpGFe9euJ2i+dtw3juS5FGDeWWQ8Df2CKxZG9o5Dx6EqcDcfGYhC6BZjoNNwZu9PaLFQKhbRkADrMdHSDOC7m71o0zE2WMTkogyV9eSmYZ/vVuf1x+UMh6lEZ83emxzWC6E41H+p5p6LhBwOtpkZL1AzcCkHIrQzGl7LTNqVwtUrm/hix8YyaG3rqDi1ys5oqoEPzqYN9wKblXVP+6ywa8z1Z3sgG+rcTHCh3N8TURksape9OsVXFce4IOHl3Mt8CywKrsE5z+dvUYIXp0Y5Icjh/LC0YOYesZQBh0+iMXlQZ4tgufafY/tn4YEMBWfX+UzC1kAzYpEqmwTktlbERXZ/3TgI6AnyTbmahMBRtGdAfQZLaWFkbS2++G8GrF1oO1KMxGH5Tiswy/gFLxyIvDPaHRye9NlOwn1aN5OaTKmNzkcct4BTyrNsYlmPjp3MxXbUsj3GygeWYRePJppk0u4aHiQJ8n93PbJSA4B1OFNfCZnNi3lVqeItDJPgyhPicjfcqxn1/tbAC/7f7nRdgLofVoEVOPzWiRS1WMnH+3J1oBmeV7i5kLXYHqhTA9QGNQtjegB1nf7dG8jE4EUm9sJtcIaO45zH4RxKCt6tD9rZzJ9A4/F59na2vozYrHE2fu8VkkgVOevOGN6lqoGVXVyKqUfSKleoKrTVbVorwuFw3KdfgdoSjP19UZC/92yc3f4+lZk3iachmaGkwm0ucptBDTAEqCc/9C11k/KIbS/VrNnCBuRPQLocA4GUmykPp9ZyAJolqrktHbDDDBFlAMtzOim48iEdd1+HrzDRGDFridb7MJ2wu/bBJTlZE6oKswI6EwORyhiCDHHYSxIR22WrBeo6TdU9aDGFF/dkOR/i1u46+Xt/HZdknnbfW5T1d37V0rXNiClIdSy90GU+EBjmgAQ2vu3+5TbCOhJsg1YTRGTu/DaAIeSzyVS2s4ueIepwGLOl3Q+s5AF0CzHSV9W6BpML6Tddgxn2+t1/2ibQyXs83QQC6D7lukc0JPtsTrjcwIwnxmSbGkJPJJOh/bdg896gZp+pMXnvNgOrvn464w6/AXKovMpO/slhj66gYtafL6gqqVvXawc3pUR0PIgiUml+AeX7twdXixwWDmES9gKOQRKgH9rOTCadI7Xd20nPNynAYTJpHkj53sOVPtrQKcCr0F+s5AF0KxIZJJt0jDtqaA71n/u1P1hR6li7x6gGT5rcGwKfh92DaCFGQHNrP/8L8Cxx07YMGPGuPX7vLatF2jINiKZvm97miMe30TJnPU4PplTfOZvRe5fh7O6hcm0TZNn1idOJpV7D9Bihxcml/C/KybQfN5IUgeX4o8twb/gIFYdVMzjZMNWp0qYBLTwtnZ3k7fnTbQLI6CjqEYJ0JrDLvvu4rcTQB0ORTP/P8lnFrIAmuV5iYcLXYPphZRytJtHQLs/7ExAbQR0P0wAVqAFnILP7IB/FsDz6s+Px+s/1skdCXxbB2r6vnUphqxLorvt1lHYlEKWtTIIsueVj+ZQhFb+SyLX1w7Ba+EyvnvxGP7w44N57FuVzF/eAgeX8tsg/DbnQyfSVAN1uW4qApYgTMm1zuz6zwRn5/EQDGED7Y2ASmYZQD6zkAVQYzrW3SOg3b8JCSqRvY7hzFALoB3IBPci1gHFPKKD8/r0x3Q0yiRaeCbne9RaMZn+YVQRW0aFEGeXk4BEYHgQHV/ENiDTq9PncOA1rpd2VnW2T0Sag/D0oABfqy7huovG8pWgsHj6fJaLyL7+WN+bw2Q6OgN+b0u6NALqcGhb8MubNBtRhuy2llx3joDmkwXQLNcNv7vQNZheqRy6cQTUYV0P9JycyJ6nILXJ7II/KLvb2rTJnD40BGUFq9mI4lOc53WgQU5AeIOzZCOA61bdF4lU/aGTuxJYM3rTD1QIi04bSvM7hmWCiACOwImD0XHFvEnbsZuZIyJzPwEpS0RURDaJyAsiMq85zZ1Jnw916UWUSTltQNqpayOgPlPQPK7/BAiwEcFhOEMBeErHAoPbgnA+s5B9KWXV1jaMK3QNplfq3hHQntjwIlTi7GMNaJrVQJC3tXP270CW6RzQwums5XxJI2xC8jwNv8v6T4BFi9ZWvPbaa4M6vCfTC9RGQE2fV+xw/zEV3HL3Yaw9awTJi8fS8o7htP5uDWuKHWaLSCMAyrSubEDapxT3AKfxmOa+Jl6YlFMLpp2WoAzmKc3tMz4zAprfAHoaW4AUZL8TkhwGLG87ajSfWcgCaJaI3lvoGkyv1LsD6FwdiVJG6z6m4M+ULQiNqE3D70aZgLBil7VdhegFekLb+k+AZLLpfU1NpR2fpGLHcZp+QkTWlAT5zogQp77RyMItSf5+yWjePX8bFfIkR+5y6eH43RBAz5QGYD4BPpjzPV0dAZ0pm4H1+DnuhFcOJZ3nKfjMZ95mAtl1oAEOZZdNWfnMQhZAs0R0QaFrML2QdtM58G387Cak7poS96kEtnGm7Pusd2WtBdC9TEBZscs/5zeAZo54rQH+1/Yj32cV6Ip930RbK6ZK6wVq+gMRSYvI60ua2fLABh47f7T8B7gG5baH1uvRm1N6nsCUi8exXrUbPjOVP0OOx2VmPqPDpLq8Qz23VkyZFk/jcPI8Apqx8zx43b0PaT6zkAXQLNcNf6nQNZheqYLuXANazDogwHHZ9TcHSpjIvlow7bTaTkPaS1sT+jb53QlfytHAdmbu/PKpqal6LBoNP9LJnQkgyGhsyZDpP5TBKFsBGk/j39PKSf1lLY/N3civQw6BWyfzuxa4XFXbO8M8d8J9wLHM1XCn185kPFBMU+6777Ny24hUwiFAI6fR8R+dPWPX05CmsksAzWcWsgCaFY/Xn1PoGkwv5HTzCOhJbAaSFHXTaFvHTejb2E74PSnj2XXjlvRsL1BVFVUtb1E9simlHzt3BFeNL2KxwihVDQLEYm9OWbiwbmqHL5TpBboGtWl4048IgxG2qmrQ8bnyCxMY/Oe1DP7wq4xIK3L5YiYv3Ma3WuGdB/ScmbIaeBLl/E6vTTMJYRXnZNei5u5NchkB9TkUeKMLLZ6600Z4a1/AW03oIb9ZyAJolu9zdaFrML2QUt6tJyFlPmy6sxXTBCSnAGojoLsbj+w28rC+249I3cV2GLnN59OrmnnU28Gv1yQ557yDiK5t5a4kRFVVRILHpdPOyTm8XB22DtT0J8pgfLYCU7f5TH1qE+UK2uJDWuFv63Ce2kzFliQzuuFp9yI5TMM7Xd6A1GZxTjvhMz1ACzH9njmOUxjOHC1DmcguATSfWSiYrwf1diL+PYWuwfRKFfjdGEAzui+AKpXQ6Qkha6DL5xP3d7tPwWeOSJ3eHS+sqqUtUKlpjm1SRpcIy9Rn2Gs7+NYPlzHo/rU4aaC+BeeQMt526ViaQsLHQV8W8Ts/o1pJIBZATT8iDMZhKzBqeTMV65LgK9L261YfaWjBWdt64H9IDy7mgW2t/PKHDfqhayayjMwSplUie/QZ7XoLpja5jYAKh+S9BdPOZ29EGU7F3ssA8pmFLIBmuW71rwtdg+mVursRfWa6t/tG2yai/LOTa1YDJ3bT8/qLCXuNgHbDFLyqFjelec/6FD9e2cKoFS34laVQWUyTt4Oyv67FaZtvW9ny/+ydZ3wc5fW2rzOzTVo1q1m2bDV3DNbKmGaKIXQDAQJ2gCSEkITeQgnplCR0+Ie8lARSgSSU0OKEbstAQjXWygZj3CS5SZYsF/XV7s55P+zKkm1Ve7WSzVy/nz6wO/PMs0ieveeU+yDP1WKcPIKc8QlM9/kKFvTrIpFGpIK93auNzbCgVB0oiYRpAFzZTgLeblrsMh1oioOemy37gaqmtoU5ZZafzcuauWd1K+uyXGx2CK+o6gsi0jkKN2LBtCcCcRVKOq9peofHbw9MRHhtD9bfeyLTkCaj0frPLmUA8dRCdgo+Snl5pZ2Ct+mO2KbgoSPatscCNFpPmK2qJyUaTJo7Eodqr13Rdg1oV0rVQ6T+aecIaAzssQKQt93i4bvXknvkYjznfEbicX4SPtxO+kcNOHYt9moJI+sDJABp5eUVh/v9VUf14zKV2ALUZn8hQGQCmYsG4PN0B+vOzCB8gLdzQtKsVDgqDbKdlO/Npdrh5KUt/HCUm8xn68j7/hccdksFp37SyPXBMGeramcGYg8ioKoqeiw4hKa7JnOxqk7t5d48Me5TkDrQaASUtYEJ4QAAIABJREFUnS2YIL5ayI6ARrEsOQO4b6j3YTPsSEJjHAFlz8WOqqYE4ay2EDdtDpLZpmTeMJbb2ixmquodIrL7DTMyDcmuAe3AIheDMHVU73gt8lCw9xHQMDPXB0h8ZENnpLMphHxjOaiCQyAUfcMEMpxonptmoFbVmKCKhy7m9N1fxE7B2+xHuEkBlGoaRCSsqr/5agYjZqZwwqo2nB4DLUogmOHg926DvlwieqUlxMx3tzPp/QYcLWEo3YajvBlNNimclMjMbJMFdIzeFIqw+i9AVTW5LcwZ7cqNExNxheDHW4Nc6jZYqKp37nRvLtUcIJXgEKbgIR1l8q4m//HUQrYAjaIqNwz1HmyGJYMTATWYtCentoQ5ZnUbv350AznP1mJaCtesZPQPxjD3rExUVa8RkdadThJqsMhgkTqZIcGYfIZ9GWEMUMNcCe94zWIzBqk8qy7mSvueLh0WMqrb0F0jnQd50QfHo49vhJfrIQwUemBuFoExLlYDZaGQrnY4zP5kpSpRxvKsmjt9BhubfZEwKZg0d/lbXuZw8f18FwfnujlIDAJOg4+ckUjdXgUD6kNkr2zBqG3vrC/dEkRWtCIb2hiZ7SQHWM1/NZkg2Tj6L0ADIWauDnDHY9WMrmjFeedaRry2hbQrc8k+OxN2ujdbTMSgplf/5sHEYgtCBuACXuj6Vjy1kC1Ao0yfnrdoqPdgMyyJfQ1oZB58f1KtuxFSDv64gay/1GC2WpGb6KJG5G+bSJiZyvixbnzQOV0HACc1WBhsJxuGxHNueBERoOt3es1LHQEgjUxg454u7TRYX5CIpjnQbaHI70eApjCa66LhnvE0XDcWs74dY1wirSMcvO8yuFNEmumv32ykBtTBCHKhhwlYNjb7Cg5SIeIBChBtBtoCvBn9iRkeg5Cnm0c8l0CCSRCIPKC3U4TQzNHU9HftNphR1sTIP1bjaI20M8kHjZC2icQjU5g41tPl3mxGLZiGCoMtKBkIo5CdU/Dx1EJ2DWiUsrLKx4d6DzbDEMGLMQgR0D1seNkaJmt9O9ohPgHCitQFkdVtJNOd3dJMaUVo6Pa9Lye7C9CZ0go049i7OtAwvDfawbrrcgk7BEY40YmJWBdkEcp0sTzV5OQpiVx9VBo/GuXiAo/BxSKyHKCsrHJ2WVnFWX1eJOIFWoPTnglvsx9gdZrQDzapDioPSSZ8UJf60gwHzExBc9ysJWJxFrFggoqBeHRuCzJybRs0hzvvzSELqW3fcW/urMPXoeuAV1W5KgcXkIbifmjczg/c8dRCdgR0BzIx1iuqqgD5j2/gwO/nsgqoEJFArK9jM0g8qy4UF0pjTNeN1Btm78mpKSaNmY7OG1wHiQY6ykkb9NglWoP03YgUNUXPCsNhIYts02CNAz4GGnezKdl3GYN2652612b0CVDjdHHp4ak84hAOeHIyG6cl0ZrlYJ1TuCkqNpd3d66IZKiKp5+X6uiEf3dv9mtjMwxIpef7VkxxG/z78BSm3FXEyZ+34FrajPHCZhyHJPN2kskLQD1AdJLRgEZwpjhpzHDufm9OMNEcF22wk8ieBLyz559kz1DVzBaLc67J4+iHqiHbRetFo7j5knZ9zumkXETaB0ML9YQtQKMkJLSeHsv1VDW71eL8QJjpVUGmbg6yymOyOqD6dxcsF7Frt4Y9KSQB4IhxBNSiDnPPhI5HWDI9ieBpGbj+Ux+52RV64MwsGOumBijr4dQ+O+FVNaE1zGnNYR7YGiazOoCVn4CmmixLc3AN8OGe7HkYMgbpttFnr/1ZRSQEvON9R98c5ab+tAz+TCRN/p6ItPV2rtPZ9IzL5drtC6wHKrE74W32B4QUiE8E1AlLxiRwe7abN4tTmDzHwnhlM+dctgr/x9P5cMdDtlA4kAYkiNybS5JoPy0D1yv1iAJeE76aCXluaul6bxYmAXHNuqqq2Wrx3Y8a+N7rWxgrgEvwPrOJK05MZ9JI+BHweay1UG/YAnQQUFWz3eLq/27note3kD2vHkddO9OOSSVwcjrjvCFuwK7FG/4k4MUCqmMnQFXVeGQd3itX4/54m54wI5XFwFbpZ6rHMik9wMvddxZy/atbGPHYRNoOTyGY4+IDp8m99BRJUDZh9J6Cbw4yaUuY3927nhGPrI+YpWe50BvGMv3aMTykqieKyLaBfuZhSC7d//vbK3usrjRbfLWilZtF5J+xWK8rqmrkvc92Qzi0UnUqsDISubCx2QcRkiHGWaaeLhV5CFwa/YmwUD+sa+Qu+YSf7nhNKWKAHfcJJm9P9HDvb8dx3Q/GkPBpC3LTKjxHp/CRK3Jv3gp0+J4WAitj8JEGQmGbxVefrKHgn5sxFVgfQO5bT2JRAsenOTgC+DyeG7JrQKO0tib8O4bLTWi2OPd3Gxj1yEacK1owHt+I8951eDcEOE0TOCSG17IZLCy8CO170xXdFVXNabP4yddzuFuA7Rb3N4b5azucqapJ/VnDC5tSHPzmtgp+4TXZct5Ifj7ey/luJ990wqIehaz2IwJqcsSqVrwPRcUnQF078vuNGOvaSAOOGcDHHc7sXgMKoLExo6dUZ6CMpGlgX2DBYNLXm5pcF/Z2jKqObgnxi29kc2iSyczNIe5oDnG3qk5RVft+brPvERnDOTTd4AC1PIvSThPf3PFaxIJpQCl4YFOaiwdHOTn1sCRuvngUt2W7KDvjUxY54MMd9+YwRURk90DX31vGVwdI+bgRaQh1lgp83owsa8ZsDjMZYq6FesWOgEYR0T3ufO2GyRvbSXy/EWmNFiQrUN6ELG/BLPRwEPBSDK9nMzgkobGJfqqqo83iioXbuOhvm8gxBa5bxYFnZjLpGyPJm5BIA9DnJJzoTayJUh2J8FqSKf31a6sBins7oN0ia1071q4Ktt2CVS24JyTsWd3qsGKROmlgJNKNADViNKFKmIPyb86QloGcpmo1itDjw46qOlotfrpgO3PKmkivaMO4ZgWzT0kncHYWeckm16hqOpBGZPzqarvUx2bYE8cUfLfMlTAL9R6Um7lV/8oBCFAwUBP66L25Afgo+gOl6geekPf5ERACwGQiUDEElnjqMOk2QGEIoJH3YqyFesV+Yo7i8xWcH8PlegxFRB87+t1ZZzOEKF5iZ8E0vtni8KdryXlpM46QwqfNGI9X41rcyITtIWYOcL0jsfjfAI6v6cuM3mOwKc+NuIzOv08hUsc0PpE26GLcvq+yndEA1HVrtbR5r83oVQVlDspzAz21pKTwJZ+v8JleDpnSYvHV36wnY/52jJYw8nQtjgfWk1gf4pRm5fd17dz7WTO3bw1xX4vF7apqd8rbDG80fl3wPdLCE0DSlFO5+DeHcwIWjj9NjjYk7Q3H8jpQT4ALdrymTIQhmYD0RbaDhqNS0VRH5z2+2AtTE9FkB59CzLVQr9gCNMrixWtnxHC5z0a7aJmVhnq6PHHMSIYpXtQh+GN4LZvBI4n+ejP2Te7GNpJXtyJNXWw6atuRFa0Y20Lk9XulRepEOAyrj4k5O7OJPlLwDoP3xnnYflYGKhIRn+lO9OIcwvkeNrM/dFwLYxDqui2riMU4zreZAWTRzKsDPXXRospRfv+63F4OOWB9G+6PG5CQ1ZlZqQ0g7Rbu52s54bIvOOEHqzjq2lWc8ko93w9Y/FhV+9tZb2MzFKRGbeKGDD2VhFNGUNoU5g5D+PEIF23nZvKDlqDOVNWEPV5YRBF+i3DNjtcMJiFDYsG0zmvw92/msOZn+QQOSiJ801jaf5pPy7hEXvSafAAx10K9Yqfgo4jo/cCsGC1XmWDw10tzuCpByP5zDc5ZqYSvHUMg18XTmHwSo+vYDCYSUxP6QIqDsLObHuckE3ULrbu/0wMNTEdo57+RJ9a+UFU5tZzQm9vIDalOAtZHjc93wgUrRzq5fFuIpy7IxqwOYExIJHhNLuUu4VoRGdooRWzIpbv6T4jNOE6LOcjA0+8ADoecoGp56Lk7NuQxIg8HXdkUgku+wFzVirExEOm+dRlodYD0makcN9pFMfuPg4HN/seQRkBV1WgLc+71eRSf9SmZD2zgaI+BPFvHNceMYNoEB7cCe27OHuAJXPya+foVjpcF0Qjo07Haf3+Jjjl9psTLlsmJHFrXzuFX5bI8zcEXbgevErF2i7UW6hU7AhrFMHRerNYSkZDL4I+HpPDzNEckSpVksvykDG5Jd3JPItTG6lo2g0gkBR+rCOjyDCe1J6VjjXF3RsUPS4aDkyDd0aUrsy+Eo4D3ubVvX05VHdEGF9xaxNfDStLqVm5pCnFzu+oMVXXvtKxIW/J7rHhzG87zs7g2w8m/Xt7MZwkmx4vI/jIprPsGpAib2ZsIqKpE6z8HnH4HELFWivTaherPcdN2cjratUzixrGQ44INUfEJ0G4hn7UgK1tIhEhzgY3NMCVliCOguW3KV9/awiQBKlsxqgPIfetIXNbMcdssjt6r1U+WZpQ/eJzcpKolTuHAg5PZFPUJjysiUp9g8ly6gwcKE7ltrIe7kx085IKlHU4asdRCfWFHQKMUFxf0t5mjX4hInao+8Uwd04HjPmyk0mvwUF9egDbDilhGQOudymNfyyT7oER8j27EXd2O3DeelnEe/maavD2AtY6Evus/VdUMWFzwSROXz9/KOIDbK5lzfDpts9I4cJSbX8DOUdT2MDcBfz89Sx5joa5E+dt+9jfbswCN+LNmRIRk/yeg7GABh2CQiWfg6XeA4uLCD/o4pDJBePiaXK4/NJm0tW1Ilgs9Ows2BDCfqd35fi5AooEFPTc22dgMA4a6BrSwNkj6R40YXacYLW9BPm3C9CUxYW8WV9WUf9ay+rzl3PB0Ld6Qkvn7CZzbDoaqzheJ7zz4aGPiemD95d28H2st1Bu2AI1SVlZ5QUlJwd9juaaIhFmgGRis3RzEu599ke//GLGLgIqIquo7Y5RrclI5/I1tnLGsham+JG5MMvmI/vrCqgpvcyQWD/bj6DHNYb72zCYm/j0qTp7chGNxE94cJyenGbxOVwH6puYB52NQAoCJnxA5lGoOx0m/ZyIPayJz4Bd3+16IzZg4eJ0RRGZR90nU+mgakHfAR5y3qpVXg5GxngPG76+aallhx/TpReXdbj2SQvvTwUmsn5TIjNoQ2RkOtqaYBJzCpSeMwDt/ayQK6hb4ShoUeWgFu+THZlgz1BHQHiORe9strKpGO5xUkMB3JnvQq1dylCnw2ja+psLEacmIqr4cHWAxLBgMLdQTtgDdgVwKxP5/ulCE8h7gi/naNoNNLCOgiEgLEfGzmAW6GuGhZIc8O6BF5jMBB2l4ojYfvTO+NkjaBw0Y9cHOppVPm5HPWjCmeHdJzTq5AeUVZkkkDXy0bKVUq4j87b42oH0OX8YgdJ9iOpmtLCSEg0z6IUBVtajZ4vb2MNMq23BvDVH44Hi++L7qMQ54X2TANivTRUwP0K0ABRCRzUTuUzvuVQ2qmRkmoZ/mcdmp6Xger8ZZ6MG6KpfqFAeP0jHf2sZmeJJCeEgFaEW2k60zktFPm9HN0XvlpIRId3iqc68M40c2Bzlu4TaKa0MYHWs/sgFPojAt38OxWU4+pOeyoCFgkLRQN9gCNIphMFhh5yLgKeCUQVrfZrBQvEjsBOhOWFRjMmrA5xkchbKY/kXZen2yN0BU1Qfk/mcLodOX8j0sjtvlUD/7mwDt6WYvopRqPQZZ0HuXqqo6A8oDL9Zx3KMb8FYFkNp2jJogE7cGeTjFyVkMcJa0augD0zTMgZwDkAxbWl08fIjJsgOS8JU3ceSiRtJLUrjJCe/ugRC2sYkPpeoAvMgQGtHDBq/w0tcyyc9yMmFlK6bHQKcnEZ7mZYE3PCC3kV0ZWR9i5LJmzLr2zvvxxgDyaTNGXZDcLCc5DCMBOohaaDdsARqluDg/9oW3/9VkgmRh8R4GaczTxD3pjrUZMpKI2BfFHhfVhPHyX03mKBnIGLqj0H7bIa3KcbH9kBSsVa0YW6PTLwxgUQOO7+dwxNYgR1UGcP2rjqwSLy2LZxBE1dgxExn8SDQl3w3RQvqRRISdRWTueX1/R4vGlWfVBEahrOvlqDr6Nw3p4O1Bpj2wjqQlzUhYI/9vH96A89R0Cg8yOIYBCtCSknF7FGmJ/q7WAU8ATzBfj8Hgn24Re9iFzfAmQApuwDV0EdBoacuLviSaJiUyszbIaI9Be5qDNUkOXnXQP7eRHlCXgdVdt7dhoEbkntlnM2k8GRQt1AO2AI3i91fc5vMV3hLTRdsoxEELqSylAYsURmKnw/YlkrAGNg2j3yygnlkEaWMUA5mDLMwEftTPo9clGLxwXjajR7vIX92KmWiiOS700Y04vlLOdJcgW0OwsgXzu6MJNod51GtyOpGOcFDKgG90t7iqprWFOa0dTqwPMtIhaJqDahPmqeqCYWfblMZIwIG713rbzf2cB19QFcC5oR06xCdAfRD5vAVzciJFA93ekiVrjlE1ncXF+fMHeu5OuCmjnQze1rHMkt7Eto3N0OImBVBC8ZkF3xMiskVVn0sw+V+6kywgSCQquX0vH6Y3pJlsPDiF8MLtOFa3Ru4VhR442AvZTtbS3/r/ODEoWqgHbAEaRdU4NuaLmhSh0ZFbpVqHkoMtQIc90caSKWPep2Csm43vq3q7883cK24Vi1LdhMEo+kj37uB1zQYmYvZvAlL0yf7pQ5LYfkAih9cEyUkyaBvpJPC1TM4+5BPSWro8e8+rx3HdWKZOSOAY4AUATMoIM27XSG3UO+/Msiaue3ULkz9txhFWODyV4KkZTD3ISwiI20zhfmEyBqjvo3yhvxHQhkwnanZT5JDtxHIaA08pWpaZr4oH2DsBepQ0slCXo8yAXqO9NjZDS5gUTFo4buibcKKZhPXENh2+JdHBf45OZarX4IjPmnECHOAlNCOZ91OcvErHw/4wYVC0UA/YAjSKYYQvifmiSlGXebI1WHtQ82cTV1Q1ryXMzQGLknQnU0/NYGRTmHFB1Xsd8GGM6+mqkd6nE+2EmyNRvuAYqevvKSKyWVX/7jF5OyPyZB8AZjZbnKmR2b871SV93oxZ5GbSjgVmyTpKdSvtTGNn66fRbRbHvbGVKY9V49oUrW/6pAkzzUFxnpNjGG4CVHr1AI2gbI7WgPbFR9kOGk9Jgz93KdL4agZM9YLLGHjdWCBgvmKaRqy8ARdhcQjwYozWs7GJPeYQz4EfZETEUtX3xnv5ZZ6bY45KowgL0l2sSXLwjgMWR22Rhg2DooV6wBagUYqLi2I/m1Uogh0CtJo+RiHaDC2q6myz+NUrW5j9p2pSV7diPrmJRLcw6qJRjEpz8g3Yq47IXamBATyUaP/8P3cleoNbG/1BVSdkOEAMoOPWF5WiGQ5UjN2+EMqidaA7CdDaIFnLmjE2dSmu3xBAljVjbEpl7ED3GQfGIH2kuwzqsCjsx1r1Ivzkk2b+cVYmzpPTCY1yoZMSaM9ycbsTlg10c4cdNmbvZ093sgjhjBiuZ2MTe3TILZgGnWj27J3oz7BnULRQD9iTkKL4/ZWDEa0pQrtEQG0BOtyZ1hjisN+uJ+2tbZgtYWRVC8aDG3CtauGAUJijYno1oRoZUFT8SGTgArQbPhjppvUbI1Fnx0QdgTMzYHIiqrvfKDs64bsSdgpWdyloh4DDYFg91UfpOwIaqQHtMwUvIjryPcYub2b7XeO48exMfvOVdH6e72W21+BPDKSuN4rfXzW3vLzqwoGe1wOLEA5mCKat2Nj0G9m/I6D7IoOkhbrFjoBGUZXkQVi2EGNHzWfNAMWGTfwpXBfAtaYNCYaRjrhedQD5ogVzcgLjY3o1pRrpV7QN5mkiwnRkryxBOtjkMfjRDWO4e3Y6I1a3YIzxYE310p7q4FbX7lFeP8L1u7y2NtNF9aHJWG9vRzcGIv+3JiZASRKa5Ryk5q0BEu3STwqHOcpXxqxkk+XvqSYBzd02Fyh1dDOOM7rO6OhP+7eX0/pEDb9E+fbkRPlXjLbrtizcfR/WD1z4CZDCAooYYDe+jU3c+BJEQPc1BkkLdYstQKOUlOTPiumCt6oBFOzooo6IjQNjeg2bWNM8oqOxZJe4UaoDdRgx9wStQZnZ05uq6gnAWIFDf7OOmb9YQ+u2Ywh4VF0dc3v3hGhd0kt5LlbnuDjy4GRyk0xqExy874by3SZ2hSnDZCqL1MmMHTWw9S546fgRTHhrK0c2hnFYCrcV0jo9idIkB2/s6f5ihaoaIZjZHOaJxiCjDHCenYFve5gjU00uBN7b/STqdo2AqmpGS5izQ3B0XYCsBAehlS1MyfXw6frDeStWIUafL//JGC0FM6WVUv0MgxnYAtRmuCKkDLEHqM0uxFwL9YItQKMsXrx29PTpeRtjtuBx5GLhprlLBHQg9X42Q8HiLAeNZ2WiD20AKxofO2kEHJiEuh30Nat7YGjPKfh1qglNYc7cFuKe6nayyhoxj0zF2NrOK6Nc/EBV39obexARaQLej/70zha+IJswDRxAdEpPVMS+M8FD83uNPP/1LFb8oZojDkrkrsJE3nDA0j3dWwxJbw7xwgPrybijEiME/KwVoyFM4c8KeE5Vp4rItl3O2UyXCKiqmgGLCz5p5rJX6yn6ohlHfRApa8Z4+UDqQuxWG7vHfPZZbZJpbpHJkyfHypLmY2AG8EyM1rOxiS1qp+CHGzHXQr1g14BGEdF/xHTBMEVAzQ7jebVrQPcB6lzCr51C/UgXes84Ak9MofWOIhpGObknCEtiejXtuTEtrZ3ChjAP3bmW3CM+wfN0Lc73GjEe2sDkZovf0j+roNgwV8IoS5Gd60BFpCnhf7RsDeL+wxaOB7YfuIhXXSIfRseODilhOLY2SNIvo+IToD2M3L8eqWzFQ3fTyULUAV7maWL0lbwWi5NeqGX8Yxtxv7AZx9vbMb0GbAviawzFri44GGw9u7U14bxYrUdkBvyMGK5nYxNbDFLBjoAOJ2KuhXphvxGg137v2pFXX3TFRVd+58ozL7nkEudAzxfRT2K6oUhtX2cdnINqIDuamrcZhoiI9dNKFv52A44LMnnivGwePW0Ed01J5LwUB48mw9aYXtCiBsjgWXXt+pZhckRVgMRHN2CEo3HOtjDyxxpkbRteIG5pkih+6GYikjIXZV7UW3MldLFwGmIsGL2mdUcgu/N1hc9bcAC5u520LerJ59kh8PM2tTOivAmjPtjFcL4d+bwFY1to4IbzPe7Xoho0lqbUixCm2/ccm2FLJAI6pCb0NjsTcy3UC3G5Mc09de7P584+92ddXzvv9HOPnTv73GfmzJmTsLfrX3nhlRnhUOhDjUQ0jna1O1f98OKLB1RI6/MV7NpksXdEBGin6bxJDeDkiDhGrmwGzH3ruTRosfr+CXwnzyM/yHDL7V6HvCoitV3GU8aGrdQAMJKRu74VVjKq21CFnepRwxZS2YaTeEZAI5Sxaye8qiDMpSPFK6xAmBjnffWIAdVFCYhD2EmDOgUmJRKkuwkkc6Ud2I6x4/+v5RTUENhpFYl0+xvErtt/+vT8t0pKCl6J1XrUsQTFzazh8zuxsdkJsZuQhhsx10K9EBcBKoa1DeTHZ5xxRkdaC8viEpDM5557rrepJP3CMPU4hfkP/eWR8x7+88M3Ah+3hj1nD2SNsrKKY/d2Hzuhu3SfRqbINGHaafhhS6lmAjei/Jh4zDKPiJ0thHavA3UKG/ITIMXRKXsESHOiExJoJ94TbqyoF2hXW58FHAGkIbwOgLISiwlx3VcvtDaxcKSLxhvHoi6DSDu8iV6RixZ5aANe6+HUruM4V2e62DwzBSvd1fm7ONALxV401SRmnnmLF6/JX7KkKmYR1ejf1xLsNLzNcEVJQW0BOpyIuRbqhbgI0PZg+BnAlRBOOBXgomMv8iByhqBPxWL9YMh6x+Fw/ATg6quvdiscGFL1D2wV47ZY7GUHERP6Xcdu1gxo8o3NoKKqhqpOUtUzVPWkdAe/Bj7gK7J3oxAHRveNSCbvjXWx4ZrRhNMcqNtAJyRifS+HUJ6H9cTb1DiBpSiJzO9iG2XydZQXOS7aNa/DKwKalER9osncn+ez7oEiWvM9hJceyrZbC6h0G5zXTQNSB1074WsS4JkzM1hakkR4SiLWT/MJ/CKflqle/u118nas9msY5jHhMMfHaj0AlEXYAtRmuBLxAbVrQIcVMdZCvRCXLvgX33ixdu5pc97A4lzg+ZaEllNQHA51Px+L9X/35O9qAa6+6PLDtSn8iGA8++gTjw6oYUTE+nss9rKDncdwdlATnf1tM8Soam5ziBtCyuwNQbz1Acxmi5G/n8hdl6iOEJHY1nv2TLfjOD2w3mFw+c153LOyjQktFvLQeOqynVS6hBtFJL51UzOllYW6AoMSYE20rvBclO93OeoLYGIkNR+HCHIfREsm3lHVAxds4x4Rji9wcxPwVh9NUjs64aPd/q9O8bK9rImnLh/NkstGsyLVyQpPmFInLI/djvVTEWvA9et9sAi4OMZr2tj0zTxN3NGE2xORCKhdAzqMiLkW6oX42TCpPIWhj1107EWeVmmeA7z8t1f/FrPQ+1UXXXGFIhcicslDf35o0a7vf/ZZbVIo1PIiUFFcXHBJWdnaQwzDusOy9D8lJYW/UaWtvLzyTdD7i4sLX/P7K+4SkYODwfB3Z8wYt9bvr/iXiGEVF+eftXjxmnzTNP6gKot8vvwfL1lSeaoq14M8WVyc/8T8RVU/OqGRnNs9W5N/Dvj9lX8QIf/gLVrnQMd+WF75piprfb6C75aXV04H7lblNZ+v4H6/v+qbIvpty+I3JSUF/ykrq/y1YXAocElxcUGF31/5IuDw+QrOKC9fPwZCfwbKiosLfuj3rzlJxLjJsvRvJSWFfykvr7oW9HTQnxcXF37g91f9TkTHtbYGz8nIINDS4vw3yIbi4vyLFi9eU2yaxn2WJW+WlOTfU15ecT47Y3ouAAAgAElEQVTIxSC/LS7On+f3V94uwhGWFb6ipGTcSr+/8p+qJJaUFMxevHjtaNO0/qrKEp+v4Iby8qrjQX8EPF1cXPBHv7/yKhHOtCxuKSkpeK+8vPJhYKKIzK2vz2tMT696VZUan6/gW0uWrDtINfwA6ILi4sI7/f6quSL6fcvSh0tKCl8qL6+6BfQosK4qLi76wu+veAaMNJ8v/+SlS9eMtCzjKcvSz0pKCq8rK6s41jDkp6rynM+X/1h5ecXlIF8zDPPXrRanL9yql/+/anH7m9GGEDLahcxItH4QxvAvXlz1mWnqg6q87fMV/Kq8vPIc4DLgd8XFBc/7/ZU/E2FWOCzXTp+ev6ysrPLvhkHWtGn5J33ySXWG09n+D1WW+3wFV5eXrz0arF+AvlBcXPio3191iYjOsSz9dclWama7Wy66s7zyXMOwvnnQQUWb/P6q18vLK7f5fIVfX71646WVjVnzj/CGK/M87uuWLduQEQqF7vb7qx73+fKfLS+v+DHIV0TM66dNG7vU7698UoScLVvyT83IWJusqs9aFitLSgquKCurnGkY3KbKyz5fwUPl5ZXfBc4Duau4OH++3195nwjF4bDx7enT8zaWlVW+IkKLz1dw7iefrBt/XWtruhu97i14/rsnbb/5H+0pWa+nrcs4Gigrq/phk6w/5eitY5J4l5zy8qo7QXMTE4On19fjTkhwPq+qa3y+wkvLyysOA/kVyL+Li/MfLCuruMgw5Buq1r0+X9Ebfn/F3SIyHRzfKS4es97vr5wHhHy+grPLyysLgccsSz4uKcn/SVlZ5WmGwXWq8lefL/8pv7/yBhFOEZEfTZuW/4nfX/nHJUuq8l7ZMvZ/IWTpkiVrr1blq8D3Fi9eO8M0rTtVedXnK3ggMoVIv3XmtqBWWs7MsrKqOwxDDykrq/je9MbC9U7VtJO2r28dW5R36aJFq/OcTvOPqroYuLm8vOIUkBssS58qKSn8a1lZxXWGIaepWj/1+Yo+Ki+vfAwodDgSz05MbA41NMg8VVnv8+V/x++vLBHhHsvijZKSonvLyiq/YRhcpCoP+nz5//b7K38pwuGGYVx20EF5q/3+yucBt89XcLrfvy5XJPwXVcp9voIby8qqTjQM/aEq//D5Cv50b3LdxJ82Zx7++qKqo46bkf/fsrLKRwyDCcFg+FzY2uJ0Zr5iWbqxpKTw20uXrplmWcb9qjrf5yu8q7y84jyQ71qWPlRSUviy319xm4jMVA1f6fONW1FeXvmsKsk+X8Gpn31WkRMKyZOqLPX5Cq4vL6/8CvBjy5JnS0ryHy8rq7zSMDhLVW7z+fL/6/dXPiTCJIfD/PoBB4zZtmRJ1euqbPL5Cr7p91dNFdHfWBYLS0oKfl1WVjXHMPQSVR71+Qpe8PurfiGiR4dCXHPwwQWf+/2V/wDN8PkKT1q8eGWWaTr/rqrLfL7CaxcvrphlmvIzVX3e5yv8nd9fcZmInBMO66+mTy982++veFBEDgiHgxdMnz6hzu+veAOk3ucrOH/JkorJqvL/VOVdny//dr+/8msiXG5Z8lhJSf5zZWWVPzUMjgXjB8XFeZ/6/ZVPiTBy2rT8k5ctW58WCoWfUeULn6/gKr+/6igRvcWyeKmkpODhsrKq7xuGzgXuLC4uWOD3Vz4gwkEOh35r6tTCGr+/8lURGouLC+aWla2eYBjmI6r6ns9XeEtZWcWZhiFXgf6xuLjwab+/4kcicnw4bN04fXpReVlZxV8NQ0YHg5tnw4hEp9P8p6qs8vnyLy8vrzgc5Jcg84qL83/r91deLML5liX3lJTkv1lWVnmvYeBTNS/y+cZuiE7FCfh8BecsWVJVpKq/Bz4sLi74md9fdbqIXmtZ/KWkpOBvZWWVNxkGJ5mm8ZOpU8cmPrmy+bfHVNYGvV45rrZWtbvv3yO26ugWZHtZWcW3DUO+GYvvX7+/8noRTrUs4yclJXkfd3z/gues5uag5fWG/2V///b6/XtueXlFek/fv21t5kMxHhs8+JxxxhmJc0+b0/j10849b+7sOQ1zTptzWqzWvvKiK0+88qIr/zdnzhxzT9coL6+8MVb7oVQPpFRbd+s+XaC/pVT/L2bXsdkjVPXAuqC+cv5nGnS9rRalqpSqut9R67frtLUuoPfGbTML9W4W6u97PaZUV7BAZ8dpR73t40ZKNTKmbYE+wgJ9rJtjNrJA492h3zcL9AFK9aF+Hdvd72Sh/pyF+vJgbK2D8vKKw/3+qtiOe31WTUq1ibd0WkzXtbHpBlWd1hzWpfVB3Xrpcm2pC+qWprB+oaqHdHuC/bc57IipFuqDuNlzzJs3rwWVF1TlXqC1rrnu9ZgtLpwsMGWkN7viqouuXHvVRVeuvfo7V1w6kCUsS86I4X4KgUpu3a1r2jajB1Q1WVUnquoBqpql8Z9Xnb2ujaTadmi3OnvMA2Gksg2jLhzHOt1evECBiIAQ8rsp54g74z2scBocsr1dDzEM5jhM/tnNYSswhk8d6A4MMhD6+9S+Gd1lHKdyJhaDKkBVjQmqTInponMljFAenYhkYzNoqGpCq8W8RzYyueB9Uh+vJqHwA9LuW8e4gPIvVU3Z6YRn1QQSMe0mpOFETLVQH8R1EpKiTwlciOp9CxcuDPV9Rv+Idr7vpWq3bonJZgCUcXQ3/s6gGuWkmF1nH0NVE1pD+JosTmpsp6gdzHQX1W6D/6nqwl6aQmJN40g3gcRu4uUZTjTFiOsNsQbt5aEki7FYOGjbraEtbqhqYluIw1e3cfqBi8i+ZwO/TzRIWjeTMWmqmSKyufNgVqD974RXVdkGqe4gk8MmJYEQaV6TKjH5xA1Vu40F3eMPQRbCbqU5PbCZrjZXb2oeUIyDeTHZSw9YVvgdh8Pc4yxOLyzC4GDgT4Owto1NB8dtDZH5szWYgeiDfVMI7qjC+MZIvOM9zAae3nH0KFIIIQRsATq8iKEW6oO4ClDLsCpNy9Cw2U3qbogpKSlcGLPFhEK0W8HwpZ6G1ArF64Lc/EEDx5U1kBAEHZdA+MgUjvV5SVLVp0UkZg8mvfB5msmGMzIIr2jF/KIlcrM8JhVmpqCZzsi4ybjQyzjO6PvjMFjPbAnEbU+70Bbi4IoAP17YwOFeEx5cj29iAtaSRm44Ig23qv5BJDojPuIFevQAlh9hBbmwKsgP1zUyYnMQHevBynWxbKyTX6jqGzHxXxUygM19HgeRefBdxnHi5EzgPY6Rur3eRy9Mn15UNUhLL0K5epDWtrHpIG9lCxroklUCJKjop02Y4z3k73R0OykYgNsWoMOJmGqhPohLCv7YY491zJkzJ8ERNm5EePX5fz+/Mh7XHQhlZZWPx2yx7jvgQajpVWzs54Qsjilv5MR71pL84AacD2/Ade86PK9sYVqDxenAmHjsQ0SaEg0ePCuDN/40kSaAf0yh9Q+T2F7s5SG3QezKQ/qmBhhJz2UI49BuoulxJABHLmlm5m/W4W0OQ1MIWdWGMa+e8VvbOREo2HFwJALa7xR8UwhfTTu33F7FyFOX4LngcxLO+YzEJ2opaRN+BrukwvecTAYmQLsa/Z8FvBSjffRIWVnl7LKyirNitZ6qOltVC/84kSwTpq9q0nsbw3p5s+ohquqN1XVsbKLUFiTQ7X1sfAJhiA7e6MBBCkILx8Ul6GDTT2KqhfogLgI0y5M1TpppUcEnGDfH45oDR2JZt9Z9BNSiGiWly5zpLxUNQQqWtWB+1swOj57qAPJxA8aGACOhi8fk4LMky83332vgZ06D9jOy+PGYRGYbLu4gnibvbVQDTt7tYbKR0UM5RxxpCjP2ixbMVa2dXy4NQaS8CWN9O5nQJbIRiYAWUaq7ZVdUNaMppN9qCOp9K5r1z9uD+oClXLqilYSnN2F0jBSqbUee24SsbWMEcGiMPkYm0m8BuhklnWfV5DVNRzkaGXwBKiIZYMRKcBMIUFgX4IaiBH7iFMzfVXPN/K3cs7aVe8IwS9Ue0WkTU+ZnOWm7cSw7nqYFuHQ0jPcA8J+djg7bJvTDk5hqoV6JSwp+6uFTVy5fvDz36X89vTEe19sTEhJaT+/tfVVNaAVfyOLYpiCFYcVIc7HOYfBfD3y0w5dRVXibQkLdREDrqCOLMImMYohFxRAh3c0tVMBSBLp/eh6UjYiEgU2U6lpgRZIpD8br2jsxWxoo1WaUHGD3FG+knri/tYuDgoCau/5mBIzIKEoFOlPkdawhC4NIVHRVx8uqarZZXO5v5ur3tzGiuh0r24WckYG1KYi5q2loQJGN7bgO8JK61x/gWXWhpBDsZxNSgDoSMMghnRCnAsuYJYNeg+t0Nj3jcrli9m8g7GDWigYuvL2KpDaF+9bjem4zzitGM/OyXL6dYrKYXaNS+yjRRsZ0YCxgEhmzGvvxuTY9IiLbVfWcn+XxdLKDEbdU4Pp5AYEbxtLoMfnWTrXiAAYpYAvQ4UZfWiiWxEWA3nrrrRYwbMUnwOTJk3s1ww3BjIoWblrcyLHLmnGHFSZ6CR6cxHFTkrhfVV8RkTDvkoOSiNmNAJ0rYUq1Lmo8/qUToEkm66YkYKWasD2qRLOcUJyEjkmgFqiM+6Yi9brxv+7O1ETHcS7t5r1xSHTW+hCR6mTNAV7CB3nRpc2Rh4QcJxyajI51UUvXv+W50k6pVkbT8Ku6LFPYZnH9/etIfbkOwyLytPG/BvR/2xCTzqHqDoFRLnSchxZiEY1Oi0aX2/oZAY08FARoJwszPul3gKlTp7bHcr0Gi8n+JlzvbOt8sKtqQ97ainF6BqMO8DKF/UCAqmpSS5hZYTjjna1MmpJES6aTWhfMj96Xtwz1Hr9EvCNODliwhceBr/1vG/NuK+AyYPfBHmpPQRqO9KWFYklcm5CGM2VlVW+XlOT36F/YEuLERY0cf/daEj6PppALPDivHcPheW5Odzv5BNhIiCIMajlWmnpYqnfbnf0YN7y7NsDnbRbTz84k9OJmHBfn0H56Bl+kO3iNeM83B7AoZPeRqfGmupcJWeMID+3Disvg7QMTefWn+Zxc3oSrzYLxiYQPTWFZssmLRKJNnQgrgInAK11enVHdjvulOoyOaKcCb21F7ilCNwawXtyMfNGCUewl/K0cWnJdLCcW0V+DTISWPqey7MxmTPIQTka5fa/30A/8/qpvqeIpKcmPSQ1WIISnpZuUQ7tCQxgn4InFdYaaQJijV7Vx8+tbOHjeZtyJBnpYKqGTRjD90FQcqvq3HU1yNoNKNOK8hVJtRLHmb6NeRLrPPIidgh+O9KWFYoktQKOIaK8R2u0WeeWNOJY1d0YTKtuQjxowTkonN91JHrARg6IeOuA7+NI2Ip3/KeteaaDw0lxevy6Xxre3c9oYD29OT+JpE94cki8JoRBhQdyvuzPdP5S8rtlAMtbQClAnfJbr5K7sdD6emcqEVgtXlpO1icL7LpP3dnMu6L4RyRVQdLf5nApHp9E+zsP6i0cTPHIx4y7PZf03snnPZXKHiDTv9QeQ/jUgqarZBBkOmJr3HuS6uH1FCw11s6hNVHUMtkODqtUoQsyioGlONhYmYOW40Jr2yH3La8A4D4xxs41dHxz2UdqUoz9oYMbDG/CsbYsEB8qaMUWZPDGR47KcvAND76P7JSMP4XNgdI9HKKnYKfhhR19aKJbYAjSKz1dwfm/vhyzMkBIJ23Sp0goDwTAmkbqjjohazzc7oTpa77ffEm1uyGwJMyOoFDeHSU1ysnHC+8xF+d9vx3MRkVqtMQ+s46Orcnk2WpM5FPRkmRU/tIeHEjfjUDZzogxpmirqxbmI/kYjIxHQc3Z59bOxbsIHJ6OfNHb+CxqXABkOQkkmPxhvEnQI9z+5iZe/O4rbRGJkPdVPARoIUNRscHVdgAtGuxixrJncr2UR2N7O3Yku7lXVpTKIM+5LSgpjmur3OviwOIll3x/FgaVbcfy3AfO0TIJnZlKb7eQDYEUsrzdUbA0xenkzZlVb599VbTvyaQuyIUBOlpNcbAEaX4R8lFLA18sxyXYEdPjRlxaKJXYXZJTFi9f2Oikk3cHGyV6sdBc7voASDJiaiI7yUENHNEF6sGDq5MvgBTqiPsT3lrXyp//Uc8vzdVx740ruCyqHveNjHrBNRPxbQnxU0caoIROfkcaFgiEXoEYPXqDKuOEwAWnAWDtS8F1Z6hVevnksLelO9EAv1gXZBH84lrZsF68A80XktY0BPn57G+GYic8I/RKgISfnLGrgO1euIn1JE0a7widNuBZu49xmiwuB5BjuaTcWLaoc5fevy43Veg74cJKHO64fyyuPT+bjNAfB2emUn5LO71wGf4qZyf8Q4zSwHN20bpmAKVh0lhfbxIPICOoxwPv0FQG1Beiwoy8tFEtsARpFRO/v7X2P8M4BXvxBhSNTCM/OIBRUSHdSNcJgAZ3prCK0DwG6n6fg2+Cg2nZuurOKrG99jvuaVXj+UI1zVhoy2cslQMeX7HJg0pBtdD7ZgJfwMGhC6v6hZBw7N/LsG4RZCYzh9U6vSRFp95j8It/Nk9tC8MsiPrh3PK/OzeZRl/AzkWh9prIW3cWwem8RslBq+zqsKcTEt7fhfmdbp03YyhbkjS2YmwKMg/5PeNoTHA45QdWaHav1RKTRZfJSmoMrJifyE5fB8gfXMc9lcJeIxL/eepBINlhbnER4irczODDGDTOSYbSLjcBgGfzbdMdMclBcwIcoI7uzZAMiTUhiNyENN/rSQrHEFqBRRKyFvb3vNnn3+lVU5zip+cNkXr1vHK+fnYX/9grM+lZe61K/2HsEtK/Z3/sB7UFKVrfgeTHa7QyRyoWlzUhVGykQnUutfA4xnn09EAwKELYMdYobpbrbcZzKuKGu/9wjTmAdQitOxnd9WUQqj/HzeZJJ+VkZ/GK0i1vdBj8Ska6p4EqMGAtQJQOhz07obUESt4fZLcXeEELqgniBQTVvN4xwlWHENuItIpaI1IhIaW2Q98taSI3TtLG4kejgzYOTeOvnebRMTIxYgl04ksCJI/go2eBf7Aed/vsUkX6IzcAqBMFiZLfHRZqQ4tZxbdM/+tJCscQWoFF8vsJe55/KO4xc3Mip+S4unJzI7VMS+eV3s5hTF8IctYivAVCqHpRR3XqAdrLfp+CDgrchvHvDSUihPoSDji/yMJ8DubyiKfHeI9DbyNT4Enko2V2AGvtoCl5EUVZi7D4RKaCc3hDkHyIyX0TKRGTXppuqmEdA+5mCz/SwZawb9ZqdItRjwBgP1mgXW6CfPqJ7yLRpRe8UF+fPH7QLWHwxkClV+woOWDzOy69nZ/BLKxrp3hhg/uRkbnGZlA5hffmXEyUPYS3HSRuwhc6M166kIHYKfrjRlxaKJbYAjVJWVnlBrwdYPIDy5FvT5S0R+VhEPjwlW1YB1wF3/nWTHvGHyVxsGFhrZxLSnkcr1qCM5Fk1Y/0ZhgseoSrfgzXG3flF7hQo8ECRh1Y6bI9OkE3AVtxMHpKNyrCwYIIg1UASpZq00+u6j6bgI6zcTey8qakIs7B68dU0WQvk9pi22xOEzOh4zV5JEvxHp1J3dibhHCea58E6eQThk0ewfaSLcgb5d+H3V01dvHhN8aBdIDKlar8ToCLS6hL5MM0pd69qZSvCkr/UUJ8QecixBU68MchHd5Q9bMTooQ5USLVT8MOPPrVQDLG74HcglwJ/V1VHAAqCQb7SDpObwiQ+swnvT6r4yneyKdnVoE+P5ePij9n2ch2vzEolOMaFprr4T1uY/6eqL4jItp1OaKcaFybpZAKb4vXp4onX5KN8N+XX5HLw/etxAcxIJjwnm6ZRLhYBi3ccLHyOMBn4KO4bHR4eoPA+m5lFKOoFuhIgKkazCe6DEVDo6gXaiZPZKGs4QXruvm5mLR4MwowG1sZoN5lI39FLt8GLhyaRcuB4zl/TxggBzXPTlObgXy6Dp2LcGNUd00VMD1A+KKsbfIFFEYvUyYz91BdTyAD+gnDmUG/lS4vFWGTHv92NaA8CVEkGOwU//IhooXhcyRagUQyD+wDaYEx9gB8sbea88iaStofRP1fjumgkNQ9P4qjHVNd01FCpqqPV4sbLRjPi6lWkvVof6au+aTUHXpHL7VMS2MKuU1ROlmZKtRGDHPZTAQpU5jj4yWWjufaPNZx4Rib1P8hlbbqTT10Gv9nRcBJhOTJEdaARD9AXhuTaXblVLEp1U9SeKyJAwxThoJUTqR7aze0hygrgK7u89lXg5V7Pmy0BSnUTTvKJlQCNiJI+U/AiUqeq/5cAL2U4OYhIhmgZsDIedZOqoQ9M0xi8zIhFBaA0Mo5IA+D+haqwkHSUVxBu4l0dwdGy+wQem8FFyAPeBUDZiPTYCW83IQ1DOrRQPLAFaJTi4vx5ABrmkLVtfOvOtST9dxtiAaZAgkFWU4gLRzhYSKen3JSmMFMXbiMJ0FYr4kP3VC1mSTIZo10cRvdj/Do64Qcn0jHEiEhAVd/Zup0lq1rZmO/i/0a7eRf4tJuav+XAzCHYJgwHD9BOarC61IEajEdZwyD6Tg4qu0ZAF6mTRk4BTu3H2R2d8O/GZC9KFvSdggeI1guuYghKH0pKxq0c1AscJyFKdU20NGL/E6CvMwI3DpwsIcR62jkEeGOot/UlJB94CgBhA9pjDWgqll0DOtzo0ELxwK4BjeL3V9wG0KpMWdGK852o+AQIK7y7HalsYwQwtctpIzcE8G5qh7B2miC3hJGKVoz6UA92S7L/d8KLiOZ/QnpYcVy9lN+JyOJuxOfQdcI/qybCWIZi/nz37OwFKhTBPtgB30GIFSjplGpkDvt2jgPaeLtfpRaVEKNGpHmaCCRgDm4DUSxYsmTNMeXlVccP6kWELzCG0PpsMEkgAwgxn+3ARxgcOtRb+lIi5KHRscpKdbcR0EgPhBfTFqDDjQ4tFA9sARpF1TgWIGjhCli7v28ptFiYEKlpjNKY5aY9oZukWYYLK6Xnf1z7vRcoAMKBwEpm91o7txwo4ll19XJM7BlBLoqT4SJAd7fnGofswwL0BKkH6rGiUVCTM1Hmcat0869rFySGnfAeMonMmhr2AtSyzHzLomhwL7J/dsIDoGQibOFWsVA+AluAxp1STUJJR6JNSMJGujOjzyIZEIK2AB1udGiheGAL0CiGEb4EINmkotCDNSGhs4Pba8AULxS4aGTnqNSydIPqr2YSHt/l+FmpcHgKpDvw93C5/d6KCegQoJ/2ekwdFUCY9J09Iwcdk0KE6qhVyHCghp2tmPZND9CdWYHBBFSlX/WfHShrY+YFapAJNDC3m+j7MCMQMF8Jh50vDupFhC8YyuEPg0smGn3QEFuADglh8oAAx0b7G4QNdCdAQ0Ss99JsATrc6NBC8cCuAY1SXFz0BYAjzMfjE3n32jEcs3ArzhYL8jxYszOoy3Ixny61UyLS2K76f+dkknZEMketbMPhNdHxHoJZLn7vMXmr24tF0hIl8flkQ8qBaB8CdK6EKdWVGEwm0vCxV6jqCCJfPBlEGnrKum0gGS4eoB0YVAOH7fhvYRy6HwhQYSILORhIQ+ivx2UVSl53b6hqcgBmBkMcWR9ijAFWmoM1HgfznbBERFp3OaVfHqDDgcMOGzP4UVphxX4cAe1sNnPyCUEyma/5HC/2JKR4YZIHrNtRux5mIwbplKpnp4d9BylA637rxrAP06GF4oEtQKP4/ZX/9vkKTne5WDEWfvWtHL5xWgYFW0K4x7ioT3P8f/bOO7yt+urjn3OvJEte8coetjNIyLKchJGwkkIoo7TQlhRoSxel9AXal9LSQge0hS5aoIyy29IBFF4KLYVCGQ6hjJAQy4EsIPFI4mzbcTxkSfee9w/J8VJieUly0Od58jxwc3XPT5F99b3nd873sNpl8HD3+clOKB/l4pIcF8cWZ3C0A1pNm9VuB+uBhkOE2xl18s2Rxxzg8RjO2wgD8wJV1fSAxVkHLH7ZGGLkniD2JDdWuslbqnq1iHQVt8kmQDub0ZepA2USOmw9QFFVY8qb1AWUE7JMxmz281LglBizzQbV2BSiKp2bsFTVCFicvr6Fq1YdwPvmflxuExaNoO3YbI4t9vAL4M1u14q5ASnR+HzVy0Rwl5QU/mnIgoR4D5PRlGkOS+RQ96fhiXT6rE+UA5TpBkyOJTWKM54U0vnfex87GYkdsVXrsJTTlAdostKuheIRKyVAI6hKFoCI+FX1tWyTd7NNjiqCdGAHsDlaJi1yrJZwt/uhDba7BGMHcoRvwa9WJ01Mw+CdXs/VvgtQVXUAJYRLGXaGwLMtyF23bSP//loMC5iYBtdM5CNfGsutqvpJEWk+eIFk8QDtoHNZRhFhm+bB8sGMK6o6tsXma1dMYMlvt3FUi82C7xey9jrVxQ54s/tDXA+aqcaDh1cpoKt4HOWHc5+rY8HdO3Bt84cb/17Zj+P6Ik4fncZKugvQYZQBBdJsm7QhjXCa7KJMGyK1ufH33h1KwiNXO3/WK1GOJbaH4BSDw0S0030rvMO1G7ObADXIhtT2ezLSroXiQUqARigtLTyl/b8lnHVpYOhu0Ed+DWgzM1AsdsdgpG6wAY3JngcAv+r0FoufttlMrmrDOclNIA1c65oYcfd2jFDEkWCLH72vFnNpLmMme1gEvHDwIkIRyvK+v7EhwmYHQj6r1UkjUzCoHo7bUxFv3KvLGrjg5TpG1/jD9xi1mVfbxo1jDS6nN/uxs6SRMq3HpoiuArRwb5DRbzZibvV3uE6sb0Z8TRgLMpjWc0Hkx2JCnwx4vYV/jlOoTZhM50gToHSbeKW8hcFnE7ieDx/hMZzd7/k9zehtslJjOJOTzlpoqEk1IUVYs6bmUGa5g4/NTiCrx+jFIwllNrCeZTHMYRY2AtM59PjSjsuqpocs7n50D2ef/Q6lX9jArI+vpXRNMzMr/ThDneywUKTJRt5vxUNPwV+MkUQZ0DZ2IggHGA3Dutk3qJcAACAASURBVP5zeovFyQ/WMvrlBkxVUODBXbg2NlPaErvna7sXaGdMC8SO4owashEr+v1s2GRA163bnblx48ahzz7oEVsH2nXggPAWyvwjeexx0iGRGtCu9DSjNxiREqDJSTy1UEqARhDRR+IW7L/sAUIc2VnQ3jvg22lkE0oGK5jQ26khOHZ/iGN+WoXnzUaMd5ox3ziA8a33cVxb2fPn2S1okRs/nb+YntU0lHFJVQN6lrQh1COMxWAKw9cDtGhbGxkbW5AWG2l/HNjqRza1YrTAlJiuIlEbkbYVmNTNycQe6epwnZiUBjPT0VxHlFo/iW0MZzIQDLae19rquWDIAx25nfDdHzbeRRDyung3pxhaJnUaw9lOzwyoko2mBGgyEk8tlBKgEUT07bgFu0FshN2kBGiYc6QFoQbtvQ5UYFqlH6nyc7A7RRWpDcL9R6GfG83BNGqWCZ8dDYVp1AOvH7yIi0IEC9jWp3c01Cg7sBmLMiXKNtZwIZDpwHZEyWWnG2Aosc1Tt6mOYsW03WPwn7Pz2PTpkQQAcp3oNyfin5/FWzkGK6JcadhkQG2bHaDbhzyQ8B5yxArQjoeNJRJCWRNpREox1IQzzROwuwnQaOM4hexUBjQ5iacWSgnQCF5v0bfiHPJIN6OPXYCG2YAd00SkplwnPeSN30KPH4H/t1NpqjiGlq+NIzArA+uK8bzlNvmOiHR0XBoUI2xlydDP9+4j7bXBU0jAKMhB4t1RTho+movmOzuylCdkw9xMNMOkPKarRDGjFxHLbfLU/Cx+lWWy0m0Q8tuEvjSaB4/O5GcOR9SaxmEjQOfNK3yxtLTo2SEPFGITMJUb9Ei7/3fdgod2P9Djop6dYnAZyVjAgbubAI3mBZrKgCYt8dRCR9oNqN+Ul1cujmvAnpNvjhzC0zCK6YsAjbETPghvjHMR+GynTKcBLM2DfAdteU7OnunmsnPyufmtA+gNW/kksKrLRcINSMmz/d5BeGydMJnQsN2C35UGd108ho23T6P1R0W03TEN/02TOVDk5v5Mk5UxXqeaKOM4RWSf2+SRB3dQVeDkxVYL581bud0B/xGRA1GuM2wE6Jo1WwrXrq0e2klIAOm8j42bk5g45LE6oaqGqk5V1Y/t8evZqjpedZBEcFhM59H9s1beQlIZ0LhgMwlhD4u6efEKtUi3efCpDGjSEk8tlOqCP4jxYyBu3V8cyZ3wyiyEBpZIX7a4NyL0Wv/mhm2mcM11k/j5rjZy/ApXjicwK4PWdIMfAG84HPIqAGX6mZurWXhzsXSdLiNMTkoBquzAoBQlHXcSri8GRMRW1WeK3eyc4Ob447OZlGlwIMOkIsPkdcKWZr1jH3oakohYlOlMhNuB435eRc7Pp0QZ8akqvEJ+l87oJMYwzJMtCzcMcfnFImlluW4DjiJOHpmqOtZvc6Xf5hMVTeS02Mgik71ug/tU9RERGVid7inkASahbp+1wVvYzKJMM1kiTQOKkeLwmBR2sWBqx46yBR/OgMbN8DxFX4ifFkoJ0Agi9sPxiqWq7tLVOEPKondUFwGrRIaf5c4hiWUEZ3fCVky9bsGLSEhV/zY5jU0b/Pzl/AI2LM2jzOPgdSdUdPFqFZ5FOQvoPt6wCFjbp/XFh50oXwJ2cWLUbN6wIJKJXB750z+UaiCXZzWbs6RrpuQxdQFzEFajbMZkCtEshV4kGwcuzOHRhAT6rojtjE+og41IL/R26mEvo5oJzAVyCXc/rxPp6nyhqg6/zf+U1XPJ77aT93ojhgiclc+oy8fz/XlZ7AcGZkEVttsKcVq3rNopUsly3YfFPIhaI5xisLCZiBFFgDqoxSKzy+9yOAM6bO9xRzLx1EKpLfgIXm/xvUMdQ1XNgOrxzSH++8kCzk03WbgvxGOtFi+p6tyhjh9Heh/B2R2DjcAYyjSnt1NFpNHzX17f7qfgtm1cneeUX3hEVnSp8wSweRY4s4e9kybZFCTCPxtL83EDBblO9qiqJ9FrSiinshtoxRNlJGcBc4AAZWwCNqOH6Kw3KECx2UndkK51kPB6i8q93snx8ubcNBArJlVNaw3q4iaL/9sZ4L4VDdyyL8gfW2zuU9Wp3U6f1mwz+4m95LzQgFEXQvYFkcf3YKxoIKchyIIBvpf2MZz7Ok/O6vR3qzBS2/BDjjApagb0JPYiBPB0yoIq2dipSUjJSDy0UDspARrB56v82lDHaIFRjUH+fEctc2/ZRtbbB0ibv5pxv6vluIDyx0g24Uig7xnQk2UPsBeJqREJjIPnbTzkOcIrCLmU0V3cJ5UHqKpOaVUe+eoYLgU4IZtJTRbPBVVPjEx8+vARFhLRvEBBWACsibhJbObQ1k75CPUxedEmAT5fVanPtyVeQmkTRv874ZsCTNltccud2znlo2s5etkGpp6/jrmP7+FTAZsbuz1AFWxvI2tHANrsjgZCv4VU+zF2BRg9oHcCYbutbvWfquppDugxZxag3kwu2dumNzaF9PN+vx6lqq4Bx0zRnWgWTOHf5bDDR4cATdWAJi3x0ELtpARoBFXjoqGO4bA4cWeQcTdV42gIIZZCTRvcuh3HNj9jgI8M9Rp6Q1VFVdPa2nRuSPWikOoFqnq0qvZlROCcPmdAw8Q+ktNmHlBx2E72JeJHeRmDsw4e+69mAQWEksPmSFVdfou7HtvFmT+uDjeFvNFI1m3bOL4xxL1+f7fi/Q8XNRhRMqDCsWhky13ZghC9ccdgFMNkDnwYma1qlsQllD0wM3oxOba6lem3bSNtbRPGrjaMVxsxHqglc2eQ2cAxnU5vHumkLcPo6V6R60CzzUHYiu08B57wfSwEJ9UE+dn8DE6tbuOov+3h2280csduuAbonqVNMVCEwh4WTB3UYnTJgI7ATgnQZCQeWqidlAA9iH39UEcIChO3tECT1XEjVkUOhJANrTiJ0vWbACY22dxcL7z0ThP3r2vmwV1BXm22+bGq9moUT5kWAKMJDrEABS/g6/WsjjrQMBZFQGtkizcZWNBoMetXW0nf0BL+udgXRG7dhnNLC4W449oYl1woVYTrdbsfn4/Q7lV36C14JQ+GS/0n2La1wjR5KU7hNqFM4vX+lXq0KpMq/ciuQMe9LGQj2wIHJ48VdY41wmTr2fmEZmZ0WHMtyoYTs2Gkq1/3iq6Ea0A7l1rk+S2+8O86TvzLLtz1QeSK90n7QSXZ65q5sMlO/MP+EYceogY0THcz+myMlABNToZeC7WTEqARSkuLlw91DFOpGx/ldm8ChWmESHC2RlWdLTaXvVLPlz/9LvnzV5PuXUX6RevJe3M/32iDC1TV3ctlZiPUcob0ve5OY2tEAkCYh7Amhmv+GzieVzUXAItioCpqrVhiKKpqw9wZALvTGNG6ILKhBTMQinFy0JGIRNmCf1rTgVlYEWstg83AuEMIqWFjwQQwb97k6rlzC+OTmX+VrQhtBPuXCUwzaMqN0i7lAEY6CEFHVlNEmtNN7j4zj2duKqYZYFo69u9nsP+4EdxrGPyrf2+iE0YPD9Cp+4KMfbEOR5U//HulwMpGZPUBzPogMwccM0UHz2o2kEvoEAK0sxl92DIrEyslQJOReGihdlICNEJ5edX9Qx3DbfLqBCeBS8d1eFi6DPj8aJjsJgC8PNRr6IVpzTZT/7EX13/3Izbhm/bL9cjz9Rh7A8wGig97BWEOfa3/JOwReHoeTVkmC1T1Y6o68ZAegeGmIi8ag6n5EqlCeI8Qp0fWV4wkT/0n0DjaiRr03J4c7cI2lYZELCopEKqh2xZ8Ol5gP6dGPsMytgNt+KNuww8rAVpeXnVWeXnluXEJFq6ffR+7f3WgToM109wEzy3oyGhmmvDxAnSymwPQw+/13VEuLn98F3eJYO9so7EwnY+bDn6SBlUDeCftdP+s3c0WZiDKY2azhfiV3h6kU/SFcLOg/5A7S0It7Wb0J5AFCGZKgCYj8dBC7aQE6EGk3/VQsfLBB2zLMbn0x5PY+9YCWhZlY31+NMHvF1KTZvJ1El+vNmJnGxn1UaoqdwcwdrWRC/TWKDUb5Z2+BFXVca02v/75ZK5vthm7vpmH9lusaLO5WlVH9njBcqageIhV6CrPIge34ZOtA/7NfAfNF4/BzjA7vszPK4CZGeBy8koiF5dQLKqRbhlQYQHC2wcz2DeITVjARMsUDysBKiL5YPT8eR8qtP91oG5YOzaNm24spn5RNhbABaMI/M94Nnkc/Iywz/FBRMQSkV0P7yGoyqoDFpmex3ktW2Rfd9umflKA3aXconaUk8apHjTb0fF7NcoJ0zzYI4wkG8M73NFIA9Khdpa0kwB1kQ3AnpQATU6GXgu1kxKgEVTlwqGOMW2atLlM/jHGzXGzPVw51kXZqw2syXJxogkvSOK3hfePcdKc5wBDOm7aBuFs3Og06qDXhoE+dcCrqqM1xDfLGvjSdzYzxlY4tpzcr2xk0pomrvVbfKLni5gHrGeJ+GMKIjwLnMENaiAUQ1IJ0H0eB1d/czxVT8+m9Zx8Qs/MoeVXU2jId/JdJx9qs+ZqbMbwbKcGOOEYtNtkK9gctREpSmd0MuN0ep70eFofjWPIgXTCN4xw8MCUDD652c+ufAf1b+2nfIzJRSY8JxJlMECYOcBzgIMxjOpn7Gh0/6wrMx289okCtn+mgNBkN3a+E71kHIH5WWwaYfD6QANGGjZHquo8VZ2vqqO1u+Xbh4VDWTB1sB0iDZUW2YCfZRKIx9JS9I14aKF2PpwWL1GYN29SbTziiEiAsACqpEzrEG5Klz5NDBpK3s9y8N7HCvC/00LGG/sRQ2CcC07LIVTg4F0OJ95UheXMom9b8NObbaY/tovMV/aHt6GbQ8g/9kFpJulTPJT2eIVQCjHOFAfYzWuMws1i5kc8QB/qw/qGFBFRVX0hz+DjBSM4cXEzJ5+Yy2qPwWsR8dmS6DUmDIPtgI2HicAHkaMLgCe6nCeHbEQaVgJ01qxR8Z3Uo7wHnNqfl0YEZh036KssJgflln0hPpHpkorDv5A5wL0o9ViMJ9bJWL2hXWtAIwMr/nhSNvb8TE6ZUMvUB3Yw4TuTeC7d5FEXvDGgcKrZrRanBeDs+mA4s5fnZJcTnlfV50SkfoDvaHihTDpMAxKY1GIzNjKdLBtNeYAmK/HSQpDKgB6kvLw6/ludButQpkUmuyQcEQm6De49LYeHLhvD/tFp2H+YwYG9QXSUiz+kGfxNRNoOeYEXmYiSRRPr+xA2f3uAzL0h1OrUhBOyka1+jJ1Bom1JlsZU/xlBzyeYZfLaoiy+6RCmfnkMqqpmH9Y4pIiIPytN1meYct/VPi4dYcptLpFVItKYBFnxxBG22Np+sBHpWc2ObBmv7nKesoUjYAve56v+fHl59VfjEUtVjYtG0+oS5qjquapa3K+57CcwARs3Bo8BR1N2mCbFMs2MPAC+Q8+u6IFSgHb9rEVkZ4aDW0a6uMol/HZHEHJMLnfBEz2GVvQBVTVaLU5b38I1d23jwqs/4LRvfcBpt2zlM2ubuSYAZ37o/HvDGdCth/z7ALVAGsvJRxkBqe33ZCWeWiglQCOIaNxU/0F2sQWwKGBa3GMfAhHZ6jG56qatPFFgsuri0VzuNnhtwdsE5BCZWlU1VfWY/y3kUo9JrX6MQ3tz9qRxjIvW7ChysMCFnWdGeVIWSmPqgA+vLb/V5qofTGLe1jYuCCme7xdzW5vNr1R1Yh/WGR/OkQ9vxjM6HV6gHuYh7GJJj5/DzTD8m5BU7QMi9pB/MavquNYQv/5pMXcFlIw39/Pn/SHe8Nv8SFXH9OliBjMQqiljHdBKuAQnOsIchHqWyDaE7RiD5HH7mJoouUSx3BKRkIi8d20lj4Vs0mU5/sOUB8TKqDabk/+7n5K7a3H/fS+OJ/fiuKeWtOX7ObrZ4qygxRfqA3rVgYBe1hLUhftV82IV+JGt/Yw21TmtIb14q1+vbA3qqapakEwPzt2YFGkajM5S2Q80YzEOJZuUAE1a4qmFUgI0gtdbFLe6h4OEJ7RsBGbFPfZhEJHQe61MXtfCX0Tkzw1BvhdSLuVFze9+rqoe1Wzxz7ogf26yuez4EeQ0WzwfqYuKpR5qY7aD6o/lY5VkdtSdejNhcQ6MdHZraCrTCdgU4OTwW30R/Bbn+Zr47huNFGxtwxTg0k1MeKGeSwJwWR8N9lPEn+qDGVDhGLpnPyFsxSQU81inL+ew1UsexvDxAS0tLX7K6y3+21DGaJ/L/kojl1zyHvkInFhBxgXrGbWykW+32VzQpylBJtOBTZFmsLWE/XmjYzPnYIOizfZBy4COJBfBwD7Mw8YS2YvQghVlsEHfGbUvxJgNLRjb2jp2bXYFkOYQZmOQpeta+O0rDdy0solbqgM8HQrxDSBWcT9yv83lO/38Z20L9/xpJzdXB/j73hAPBqEkSetMJx3GhL6dWkzGISkBmszEUwulBGiEioot/R5LN0DWIUnmSVemDpRjsSOF+h+R14DVGHyz82mq6vIrf3h4N0tO8THtkd3krW0i43e1LPIrfwRimevu9xjc8bEC/v7kbBpfmEvr6XmEZmUQOC6LO9MMnur6Akox+IATJabpKa02JS/Xk/NsXfhnXYHlDciTe/DsDnA0xOg7miJRVNMxoGEBGkWA2lRi4yCfjkEJJ5ILmBjDJwO6cuW2/NWrawuGOMxRB0JM//se3MsbEBQsG3m+Hp6vw1EfYg69Wa11RplOxzjccg4nQMP1n+9E/rsWHbQpXwUIAU7rRdQoNZiDIkBtl4nl6C4DBV5vxPzddgqWrSf9vHV4llbg+dZm8j5o4dt+i8WxXLzV4iPvNXPdtzYzauFqPN+vJO3j75L15G7OCNl8ByJd5MlC+MFvPGYMAlRTGdBkJ55aKCVAI9i2eV9CAivrSbIMKHZkdrrB2k5Hb0K4khd0RKdjCxtDzPxJFe51LUizhewLIr+swVnjp9iKfbToe9kml4118ImTcvjuSTnc9bfdtLzUxI3Qra5ImYfGtv0OsDtE7s4AGug0g9rS8ASXra3kAj2yuimSCOkmQI0eHfDhkavCdjrXgRoUACFOHD4+qmlp1lmmGTxviMPk1LaRuS8YnsLWflAV2RHA2N5GPn0TOOEMaBgfhxOgdMqADuYWfLj+c1+vwyWEGoTBKLupzTHYVpqJPT29Y9dmaQ4UOJHfbMN4vxVRwg+8/96HrDyA2RAeH9wrfmXuqkbcf9+DYUc+ofdakMf3YNS2MZ7D/xvHn1zGAyb2YWpAocOMXshGUwI0WYmnFkoJ0Agi9vIEhU6+DKjBIoS3Os9Z18W85BDen5/LzQHVr7SF9Hwbjq1sRXYGun6Z7Qsi65sx1Y6ttlVEVEQOeJzyituUO364kqtD0HKejxOjNOH0qQEp10FzrqOnyXu2Ax3toonebaVSJJJ2L9AyLUApxoiSAQ2zBaNLHWgBxCBKkgjDsKoNg6GehHRgnIfmnCgtMgUu7FFpNAB96cafgUQEqOIDSiLlDz0R5mAc3IIfzCak8GfdG8pW7EERoA0eB88uGsHLPyikxRS4dByB7xXS9r1JNC7IpIev6e4ARlOw9x0hgP0hcvYE0e4/uM0Wsi2Ahxh2luKKg0nA7l5t8aRTBlRSAjRZiacWSgnQCF5vcdzmn3bBZH0ydcJHOAGb17odm3nbNMzNrVyyvI7bP/DzUJPFdR6TNLvzFJ/IXXOcC9sw6Ps4TgjXxiqPAJ+N8rexjeCMMMJkw0k5BBfndEyfmp0OZ+bD2DSqgA39WmOK+BC2dpmAcixQzckSfVhD9054YSSJH+zQJ+bOnbyipKRwqGfBb8o22PKxfELHZHVk7wqcsDQXRjlYR6w+uc9rBjAeI7IF7+ddII0To4z3LNMJKLk4IhZt0skXcqDE/llvRQa+BS8itgNWFbm4UW3uNyB09QT+fHw2901ws3lsGuoyOv5t0w0ocmPnuIipuSPHwd7xaeDuNJjCBPKd6KQ0muAQ04bijKoaqlr6pTGcn+ekQVVzD1uf2jkDKikbpmQlnlooJUAjlJdXXZSQwOFO+BAj+zeRZIhYiNHhk6eq7haLX7mEWS0W8tG1pM9ZhedT6xixtAL3xDRwtBvXC1wwCqalgwED+TL9C/CJyIzhMGVaAEwkvNUXE2kGfz82i3v+OJ2Gl0to/eccWv4+m8aPF/CEx+BekdhqSVMkiDSqUZwI5xCtAamDD+hqxZRPLFmxJMLnq561Zs2WkqGMISKBNIO7P5rHX/8xh/2vldLyj9m0Ntvo7jaejFitxTbgwcF0hAOcLGEvz7OkDWEDRpQt4nAHfOXB2u0gtUAuT2v6gN+Ukkcsn7VQQ/fRrv1ERFrSnfLGxRtZFVR80zPkknSDb2cZvPGZURw4MRt7ohvbJTAnE/vYbPbkOngzlmu7hDXzs6i7YCS2KWAILMjG/vQo/ONcfACxNWAOJao6ucXisfoQT3tMvnxMFkVNNq8H4FOqh/hMOx46stHUzlOyEk8t9OHyKjss8jXg4biHXSYWZboRZSb9mKE+6Lyk41Em0vVmOX+/xdj7a3G0z1ZW4MU65NpCQl8bi39zK+Z7rUiRG/soD4FMB1dDr0Xph2aJ+CjTLXj4JPBHoN2AvobF0pfGkq0jHNyQ7uCxMR4W2DZOsVnbZuKD1FN4sqKqTr+f8SEn80a/RoshfO6EETzzT9WZLtjSQyQJWxA+1enIsLJgijBPxHQzxAJDRCpV9QqnzX1jR1AKWGNdLLp4E9M+P1Zi/501mY72mNTVXgf6WJejNnOQTo4WDexiJCEyGUfHkIH+EttnbVMzGBnQLghz2+taRSSgqr/+eD7mkhxOrPSTUdaA59at5I11caNJbNOX0k2Wz0znJ9dN5OqHdjLNAJ6cTXWug1fTDH4tklirNlV1tiq3PLGX027eimdTM4Yh8L0tTLt6AndOdHMe0Yz+2+fBK/tSGdBkJn5aKCVAD6L3JjD4eowkaUQyWQRs5KQukzwKtrbhbLUJK89Omyw5JpbT4JljR/DqnAwmeBzsMAxedcJ7IhIc4Gr+AnyOdgFqU4r0YQIS4fpSwjVtb0X+pBgGBGDqHuEbW5tYNtpFeqUf+Ugu52xrI31SGjer6mtd/BzD05A6akCVfGTYCdA1qlZc7smRgRKrIn+gTJ9A2EyZfowl8q+YLqJdGpDa8SEs7RmwUwc8tD9478QeNAG6vdezTGqwGc9jakYs8AZOOLP74sH/DYv7K9NN5ox2cdTcDPzXV3LLmNewrCUSU0OciDSo6v0Xb6LNKdwZUDK2tPCVE3J4LTJJL9HMPxCi+K5tuNc1I3ak2+r+WozTcsjKc3AS0QSoRS0GowkPl0jVgCYt8dNCqS34CKWlRfHPfrYjrItkQBOPsgjt8aS+Z2IagWwTpFNtk0NgfBq222B9lil3jUqTa7NMuT1DpFxEmge8lhAPA6fwkoZrxaRvHfAphi9BmzPXNvG5724ht8offuR5oBbPC/s4vdXi80Belxf42QzkdPKqHXYZUK+3cN28eZMTs726RBpQfgb8oouf6uGZQXcBGm4Q7Dk+t3MHfDtCLeag1IF2GcN5SMJd2iajB3ECkzIXu4tbCCISFJE1IvJohkOeCtr8woJvH7I5KwoiYr/ZyNQAPAPoiWupShLxCTCu0o+rPgR2p+bTgI180IrZbB3iM/VQS7icdWqqCSl5iacWSgnQCD5f5Y8TFtxOIismYRH0aEB6O89k6xfHEpjugXQTzTDRZSPR+Vn4sx09zh8clkoN8BoG7ca4fWpASjF8OWAx7a1GXP/dz8E29vdbkZfqMXa0MRG6OSycIXVAPY5IFnQYNiGtXbvl5IqK6n7NZh8M/lDEg26DnC/P4aEdbfqLfUH9UYvqJ1tadOIhJvB09gBtxweMpqzTRKXV6kQ4Gukq1FC2D5IX6EhiEaDhLu3dg2RGD89pHjCBYDdh3R0/DyFks5hP9DHCIpQVwH6sbg9ciaV+QhqhtCjqYZwL220eoh53kbQC9UAudkqAJivx1EIpARpB1VicsODCOmBqwjvhX1cP4EW7bp+ISFuayfc+N4qXXi5h97NzaFg5j7rfTWfblDSucRDFm3GQMIW/ekwu2dii56NMOSd/wNt1KYYBzUE8TTY9LJRaLKTBIg3wRHnZFjjYgT3smpBs2yy07agjRYccVZWLijjl6kn4n9rHRX/ZxTef2sN1b+/ngWYnVwJju71AEI7C4r0ux8PbzNV09qps5CgUm55b7YNlxZSPxPxZD5YXKLiYA+zko3L4rvSzpA2b36J8N+Zrh7PQx6C8iVCHkVQCdFWeyb4vjMEucHb8jp5bAPOzIOPwta5hJwAzJUCTlXhqoVQNaATDsC5NWPBX2MIphCIz4dclbB2tHINBI0u6fakAIrJRVT/lMTlubBozCDfw/BfYOQizlaOiqoWVfk48+i2m3budu3Kd6MMzudcZ0l+kmZTF3K2bYtiR52J3kRvNc6J1wfA2X4YBRR50fBp1wK4oL9vSqQ50JDq8MqBtbeazpmkkasxiQZvFNxzKxAMh5DubcQuwJBfXL4v5n4xsVgLbDp79MpMQ3KTzfpRrlUcaBp8DwGAusJ7FHb7CQLgrWgbFVL0g5s9a2Io9SBnQ8Pta2+t5AC7uJsi1F67XSx4+mh2EM7YVh7yHjWYuNoJQgbKPJBqYISJNqnrNl8bwW1W8d+7A9fAM/MUe2nIc3JB2aK9eCAvQWQRTTUjJSjy1UCoDGqGkZHL3Yvr4EZ6jvBFhdsLWAGCwEHjjUObdIhIQkVdF5H4ReUxEaodQfDr9Nje9dYBzsk3k9u2MDCjGz6tZuCvErcHUCM0jGrew6rhsKi8eTXBmBva0dOxzCwidlcfukQ5WE61xRfkAPWjF1JesWFJw3HET9i1YMC5Rdauz94XI/+c+zGAnp4uX65GKZsymQLcpPiZHIVRHtlW7oj0mIs3uUf8ZPm/g5WR9RgAAIABJREFUGdAydQA5GDF+1jqIGdBDva9oYU+g4MJRbK1q4TcVTfxid5B7mi2eCKgeF7W8QTkeWB0ZBlIXsZpKJt52OjnnyX38I99BxbxM/jffxSKPwf0iXZutVNXhV516wNKvnzgiPC63/HiubFH9pKom2/v60BNPLZTKgEbw+aoe8XqLLuz9zCEj8RORJGoDUqIoaQwx9+5tZNdZYGl4EsjdO3CclMPEHCcnQt864lMMHzwmL85NJ3NqIRcuG8nokCIzMqgbYfKCy+AvkS7urgibEU44KEqGWRNSeXnluSKkeb3Ff0tA+PT9QcxQlEfP/SEkIHT3duzZgNSBj85DJJS5wCtRzhu4GX2APFwIZoyftbIVg1MGFLPjWnOBe3o9TdXZanHriSMo+ttusj65jpm5DvSCURx9yVhG5Tg4l+5d/DYLkUgplFKHJJcAFREL2EuZOhAe9zjk/kOd6/czrk64qqKZCwwYAVBWx2WtFmcsyOZ2Vb1fpFt2PEXCiKcWSmVAI6jK4HVG9gdhPZrARiRVQVmInTQCdGJNG2nbA4jVaY57fRB5rwWzOUhRAteWYogRkXq3yUN5Tr6ycATXnJTDtSOdfM1l8EsR2Rb9RWxBmYJFPmGzsGElQEWMLFWjL3PYB5Ot49NomexBO0/gGeOCaR7sDKjqcnZ0C6YwFj5splKmmZEjc7p3ikfOqwXGcrjpOb1hUgC0HTS47w2hBh2ELfhwR/ts7JgyoPOaLObft4MMBba0Yrx9APM323BVtnJ0wOLkKOtceLAWX5IyA9rObHrxr7bdzKsN8Llf1JD76n5MgJ/UkPbnnUxtDHIxUByPhaaIjXhqoVQGNEJpaeHgPBX3F5t1CJ9PWPyXmIZJDp6hayjqIwdGurAcUb6aCpzYaWaqhuhIJ1LesTXyp3eCbMbBOEwmAn6WSF9mmiccr7fwzwkMvyHL5PWLR1PoNsh7vwWjvAnzM6MIzspgfZTGkukIf496paVSQ5nWYzOXF3QdMAln1C347YCb5THaKEXD0cdmM5sazEEQoCdRDLgxWB/D2VOq23BU++lS27SzDdnQgjkto5ujw/M6CpiCo0sGdHAN9AeDMnUDUwkdvm+hNcTM91twrWjoSCQ0BJHlDUiVnxH5TmZD1FriFAkgnloolQGNsGZNTeIzoMR/JryqZqnqzJPyuMBl8K4upOfWZmJYM9JB/bKRXTstz8gDbyakwcpELi5FEvIa24AAwjEMs+wnwLp1uzM3btyYlYjYIhJMM7j1zFz++NtpvHr3UfhKMtkfUt4b7+JHTmcPkRHNgqkzPgxKMZkN7Ds4rrMzS2U/0IQ1oDrQvvm9GtSg5HXKzvYPgzkI70WsnXqjKc8R/cu2wIlt0m0spZOFwGZOlnBjlSRXE1InZgB+/tstO94NtXEGtaejhQ34bQzAOTTLS9Ef4qmFUgI0gog+ktAFvMIWIBivmfCq6g6qLmq2+X5tgOtdBl/6aC6mHz6rqgXxWEMv1LuUn3x5DO/+3yxa7p+O/8nZtN4yhf3j07gpw8HbiV5giiQj3MxXhXIcw8wDFCAYbD2vtdVzQaLii0iNx8EPRju56thsrh/p5IH7agmlmfy7y/jH5zUDmEDgkDWg0D6S02BuD//PLkGpxTGAOlC7j24Hi9kF+DEG3IhUgsbYAQ8rR7lovnAMtqdTecOZeTAzA3UYvNrlbINFSKeMs1KfbDWgEWYjrIv83h0Sj8nmYjf2jPSO955uwJxMKPbQBD1dV1IkjnhqodQW/EE0sb8EN4hNmW4kbEg/5DPhgzCnqoVrVzRyysr9uN8+gGNpHqFVDXz3+BwyVfWBQRil2W9ERFV1eZ7NhSOzWDQznckug4Y0WOl2sA6Iaaxdig8Z4ZGcxxHrtn0Soar7ILFewJFmkLXAWsp0JfANWcFUOm+ROpgONLGUnlnNDnzAN7EJHlaAhrfh45cBFVHKdHvEjH7DAOLO6cNUtj0ek+9/czy/+GgOoz/wI7dux+XNoi3fyQ3O7plkZSFdZ3HvS9Ia0FnYvdsGOi1WF3l4+VsTOXV5Pc4mC5nkxj49j70FDv7D4TPpKeJO/LRQSoBGKC0t+mqi1wCsi1cjUmuQE9a3sOQ3NaRvbEFU4cV6HBNcHDUjkzNHOniRBNflRDqdN5K6QaWIFZvNwBkIiRlpOQBKS4ueTfQaurBE9lKmL2NxPvCzg8dNpqNsimbXFrEUKri5Gve1VZSMcTHqmBH86xHVYjdsjzJOsnZA05CEPJS6Pr6qBmOANZXhGfAPxXSqiK2q/xrvYcvoNE6YF2Ti+haK79xG6bXF/AHoGFu8Wp00MR/lGwePGdTRffRscjAbYXlvJ7lcVI4JctOFI6k8PYfJdRbucS72ZTtY4zJ4JOXnnFzEUwultuAjlJdXLk70GoijFdMBm6KNLTg2tEQK4yXcYV7ehGxtpQASM5ElRYr+oqrmsdkEEYxZGaSr6ohEr6kvrFmzpXDt2urk+r1THkNY1u3YITvg29oo3BnkOx/J4+cmOGsDTPpYHl/Y08atQZin3Tvehe0YA7Ji6lsGNEwN9gC24J/WdJQpsXqAAohIc4bIqhGm3DbBLVc/8B6fO2CTnV2GVzoL+QOUoFjs6XRtO9IFPxC3gKFhFtr7bp2ItDmdvJXp4IeFHm4ozeSno11c7zG4RUSG3U7FkU48tVBKgB7ESNws+HY0fjPhDYOodzMBRFDoWTSeIkWyoqrTWiyeuWIClwCcmsvSJps1IdVzVdWd6PXFgmGYJ1sWCZsFHxUnTyIczcs6vdPR6Uh0AWo5OWNdE5d+dwv5AQVV+NVW0p+r44yAzSVAbpcXDNyMvqDPAwfCZvT9z4BmMQtoYjHV/b7GOdKCzYMIV3Y5LixEWMUysTod2wc4eJFEWXT1JNzEVRQZI90rIqIi0igib4vIChHZlPL+TFbip4VSAjSCiP1w72cNMRqZCf+spg11qCyTyhnpWLMzOoRmgRMWZMIEF/uINmkmRYokRFVdfuWeR3ZzynWbyQK4p5a0azdTtCPAA0ESPOAhZvRdESu5SgdOknrgRYwuWdAZHKIsptlixpuNpL1UH7HcEXivBfn3PoxaP5Mir+3MQM3oYx/D2Y7BVhiAAA0b0L9zqIlxfbjOXQhn8qJO7nRsETavdTlvD/UoNq4k2oYPl4o1sribgX6KYU88tVBKgEbweovvTVRsVTWbVcfVncDRDgP9yzHc1hjSrzSpelW1+wSSQSHN4L+zMnjue5NomZ6BfUwW1vcm4T9vJBtyTP7BMGziSPGh5biGIBNu2YZre6RtLmAj99Qi7zTh8YdYnNDVxYjXW1Tu9U5+K9Hr6IHN39CIAA1vA08jFD0DesAiY7/Vc/ek2UL2hnADXe2PbGoZWBNS33xAwzFrGIgA7cMIzsNyqlSjPIvJ1zsdPZ7uFnPLxEJoxEoiAdreLDtQEZ4i6YinFkoJ0Ag+X+XXEhh+3IEAV3wQ4PcTXDiW7+Urr+3nt9tbucOCU1R10D8nJ6wf5+CX5+TzS1X2LMzm7S+M4XfzM/mJ0+SpRHbAp0jRR8ZWtuJoskC1w+w6pJGpWQNpcokjPl9Vqc+35dhEr6MHFv8ApvGizuRFJqJ4SI/eoJhrsHdSGprt6BChbgMmpKET0mgAdnd7yXaUkazW/npB9r0G1KQGmBCZZtR3hLkYgyBAAWzuAL7C05rOCh0LFGLzZpSYdRhJJECN+Li1pIg/8dRCKQEaQdW4KFGxmyxO2OLn8uuryK/2Iw/sxPnV90h/YjfHtVj8DzBqsGOKiN/jZFW2g9ur/QRrg/y+wMlvXCZPikjfMgopUiSWfZPcWK4oRc2FbiyPDBdPUJmtapYkehU9WCr7EZ7HZBkGMxCqWSSt0U7NcLH6uCy2XzSK0FEe7LEu9PRcrI/l0zDaSQXdt+5HUAtAPWP7vK6waB2B9lGANlINpHFKP++ryhysgbssqKroR3g700HdF6fw+++O57e5DnY1n0qhqmZ0i1mHJpUZ/exY6z9TDC/iqYVSAvQg9vWJitymzHqnibTn9mG0pw22+ZFn6pCtbYwC5g5F3Ehh+P42m/z/28V/RaRWpFPxe4oUw4M38x3UfXVc16lZy0aGp2ZlOHglkYuLFdu2VpgmLyV6Hd1R1bT56azIMbn08+O4otBN8wHVo1XV0/1cF7w4J4Nf/mwyq56YxfuPzGTz/dPxnZXP710GD/Sw3FkgQQz24uxHlrqBPEAw+rgFf460INRh92MbPpylLIjF/zIGMhptPnvlOArKGli25gDnLchk5NZWHrbgrC47X8k2D15TGdAjl/hpoSPGB/SaL385q9nynCkiAWez8/lbH7816hP6oSgtLV4+REvrFb+S3mih3YtpAjZSF8QFDEkdKAAvaj7gQVLF5CmGJyLSrKpXfG0M93yqgOk3VJF2xXgCUz0Esp18x8EgbZcOMfPmTe5/V/UQoapiwal/msWVpasY+1YjZx+Tie7187LLyf+q6v91fmgVkXpVfdANz+dmMhdwEZ50s+mQZT3K9n51whsUAH6WSFPf39hBL9C+1dyGmItQHRkjOiCCMK2+jRur2siqbkOq23C4TfSeWqb+pJgfZxm8AWwDwGZf0kxDelVzCTGetlQG9EgknlroiMiAXnrppc4W2/MqcD6wNJje9s++XqO8vOr+wV9ZbGSb1Ba50VGujuxNmgGT3Gihm0bab0JDgcEEoJklkposlGI487bt5NQiDxdOS+dP8zK4PMNJqRP+JNIPgZIAysurziovrzw30evoRq7f5sE/7mRiSGFTC8YTezF/Vs1ov3AvUTrYRcQWkRoR+ZeI/F1E3u2lprw22nV6RRhJf0euCjVoPzKgvY0W7QNBm2Oq23A/uqvje9hvIY/uRqpayQQWdVpv8mRALWYDe/modK/nTXEEEE8tdEQIUFfQ9RmE6rseuuv8O/945+WIFFzx+SuK+3YVicsM9mg4bVbNSmfTV8cQPDYLK8OBzkjHXjaS+jFO1sAQPmkajEtlP1MMd0RE80T2O0T+df0mrnM55CGPSPVwaqYTkXwwRiZ6Hd04aW+AzNu2cnDgtwL370C2tOIAThtwBGE70o8MaLgmsq9TkNpfW4P0bkavqrJbNbNNdU5rSL/gzeDTC7JoUdUxqjqgHcSgzYh9oW47XwqWwo42HMCITsfrkiYDGt5+Hxa7Cin6Q/y00BEhQFFmodJRFK6yQRz2/D5dQuXCQV9XjLgdrJmSwY+/M4mX/jKTivPy2T3CpP4TBTzkNLhDJHrB/6CgjI/MY06R4shgmGZmnE7Pkx5P66OJXkc3CnYEsO0of1HVimHDwAWz9jMDGrZg6usUpPaYW2Mxoz9wgHxnkEt2+Hm+vJl79lssOH8kn9gV5M9BWNBjslMf8DioLvKgYzrtfJkC41wwLZ02YMvBk4U6SJompJgmIKUYnsRTCx0hAlRHC1rV/r8iugMY05dLzJs3qXawlxUrItLkgn+McPDFaR6+OyODW15rxPlIDT8UkS29X2FAjEeHcIs/RYoUMTFr1qimGTNmHEj0OrpRXeQOD6lAOoRSjgOmp2NrZ5HUf/prRt+fMZxhYtyCN9NZWN3G9d+rZPRJa3BXtmLcvg3333ZxSlD5PpDTr/iAC1aOc7L+m+MJzsvEmuHBWpiNdek4Wsen8S6d/UAHOQOqqh5VnaOqJ6jqVFU1+/DyVAf8EUw8tdAR0YSkwlrQgzcwG/JMi391PufNN9/PdrudL4N84PUWXlBeXrVIhNtVebK0tOgmn6/6PdBGEeMnJSWT/unzVd0JHC/C+SUlRZU+X+UKEbFLSooWr11bPdm29THgDa+36Mry8spzReQHIPd5vYX3+XxVPwDOtW2unDev6I2KiqrHVJnsdKYvbm0N2Q5HYIUqlaWlRedXVFQepyp3VVTU/NPrLfxJRUVV0UctPnMDkxxf2iJzfb7Kz4KcYFnmBfPnT/zA56t6GXB6vUUnrVmzpdAwjCdAVnm9hV+vqKg+R1WvF9EHS0qK766oqLxWVT4lYlxVUjLp1fLyqodFOCoUsk4dMcL2Nzc7X7uquTW/LOB5dM2amgWGYd8D+ozXW3y9z1f5JZDLReQXJSWF/+fzVd0CnGwY+rm5c4s3VlRUvQBklJQULaqo2DZBNfSUCGtKSoouXbu26kzb5qfAH73eojvLy6uvEdFlqvrt0tLi5T5f1Z+Bo51O8/Tduyc05uZWvwla6/UWf9znqyoF7hfhuZKSoh9UVFRfrKrfENFfl5QUP1peXnWzCEtAvuD1Fq7z+aqfAzvP6y0+dvXqqrEOB08DFV5v0Vd8vi2ng/EzVf1LaWnxbT5f1dXAhSLy3ZKSwpd8vuo/gM4RCZ01d+6UPRUV1atE2FVSUnT22rVb59i29QeQF7zewmvLy6s+K8JVqtxaWlr0V5+v+uegS03T/vKcOZPXVlRUPaPK6JKSwmPWrt08UtXxrIi8W1JS+MWKiupTVfWXwCNeb9Fvyssr/1dEPgf2dV7v5P/4fFUPAN5QiHMWLCja4fNVvgVGnddbeMaaNdUzDUP/pEpZaWnRdyoqKi9QlW+LyO0lJYV/qqioulGVM4Cver1F5T5f5T9BxtXXFx4/atS27GDQ+g+wwest+vyaNZWnGIb8RlUeKy0t/JXPV3UF8EXD4Idz5xb92+ervBdkvojj3JKSCdsqKqpeB5pLSoqWVlRsma5q/FVEXi0pKbyqoqL606r6PdC7vN7iP/h8lT8GOVvV+Hpp6aRVPl/Vk8DEjIzgCfv3G26Hw3wJeN/rLbrQ56s+EfQ2EX2ipKT45xUVlV9Xla+IyI9LSgqfLi+v+p0Ix9q2/al58yZX+3xVrwJBr7foI2+/vXWqaVqPAq97vUXf8PmqzgO+L8I9JSVFD/h81T8C/biIXlFSUvxmeXnV4yIUh0Kukz0ehxEMtiwXYUtJSdGyNWuqFhoGdwBPeb1FN/p81ZeCXqqqN5aWFj/l81XdASw0DFk2d27hloqKquWqani9xSdXVFQVq/K4CCtLSoour6io+biq/SPQB7ze4nvKy6u+L8J5qvLN0tLC13y+6kdBp/r9wY/YtjuYnm69ClR7vUWfKi+vOUbEvhuoUZV/G4baqnxdhJ+XlBQ9UVFRfauqngTWRV7vlPd8vqqXALfXW3TCO+98MNGyHE+CrPZ6Cy8rL686W4Qfq/KH0tKiu3y+yu+BfNow7G/NnTt5hc9X9RdghmHIUtNsag4GM14XkW0lJYXnVlRUzVPlPuDfXm/RD8vLK7+4dm3NN6bOmLDvmomG+95anI0hxeMQ+/Oj0QmmxYZ3d34XeHzNmppxhmH/U5Xy0tKir1ZUVJ6hKjeKyJ9KSgpvr6io+rYqFwDf8XqLysrLKx8SkVmhkOuM45qpHU1o4bO+qqe93qJz1qzZUmIYxoOq8p/S0sLrfL7qz4H+r4j+pqSk+BGfr/KXIKee2WCt36Hm3vLyqmcNg5ElJUXHvPPOltGWZTwD8o7XW/il8vLqpSL6c9C/er3Ft/p8lVeBfPaOlsY/PxjInuTzVf0emGua9tlz5kzeVVFRtcq22VNaWnRWRUXN7L17D9xToZlZf9slBx1Ktrchf9uN8dER1nzX3n0ry8srl5WWFvt8vqqngbElJYXHvv32jjyHI/AcsN7rLbrY56taAtwswqMlJUW/rqio/sbatdVfGDVmxMNXjM+p+0yedcz2Nk0vynK8l+9gQ/UHu45uaWn9O3D6229XHf1CaM8Pb/bn5e0DfL7qZaDXqOqdpaXFf/T5qn4KnGkY8rW5cwvfrqiofkpVJzidzYssKzPDtvUFETaVlBR99t13ty1xuoy79jS2Nqjb07C3NTgll9AotynPqOq1FRU114EeY5qh8+bMmbrV56t6DfB7vUWnlpdvniZiPrKowZ7ZYhs/qKio+pQq14pwd0lJ0YPl5ZU3iMjHwP4fr3fyWz5f1RNAYUuLeZJh+J2H//6tvAzkkkR9/4K0f/9eosplwE1eb9GTPl/lb4fy+xfY6vUWnZdM37+qssIw9LeH+v5VDf5q3rxpw8TaLg5c8YUrTrjii5eXAXz9oq/nXv7Fyysvv/jyPm1X+HxVjwzN6vpJmT7Fy3rdkMdZrs9QplcMeZwUKVIclvLyynN9vsrPJHod3VHVuS0hfWWrX99/oU6rt7Tq+y0hXamqCwclwMtaQpn2PfO7XB9iufZvbnWZTqBMbcrUfbjTavx6y8012kqZauc/pas09FK9rlXV8/sVvxOqmq2qH1HV81V1oWqUUczLdSHLdddAY7WqFu1o03/8foc2fvodDS71afArGzXw1B7dEbD0tqixO/Oijo78G/Q785siuYmnFjoiMqC7Wna9OTpj5K4rv3j5WwqTRPnZHX+6q0/ecF5vUcJqQKMivAScB/xsSOMoExnKLvsUKVLERGlp8VOJXkM0RGStqp4+weSkCWlMAHYAr4pIy+AEYDuQybOazVnSGPPrlJHAqn7F3MMORhLCYCJ0THWKNBYVEW4Aqt8fYs8YV7g204qkQE0g34kWu2kGdvYrfidEpBF4+bAn2ZEteFUZyPhLtZi/zc9Hfr2VjA3NiAJuE93Zxsjjsjl1jIs5wOpDXsBgNrAt5Zpy5BJPLXRECNDHH3/cAi644stXjEun5cCvfv/7Pj9NV1RsmV5SMjnqfOOEoLwA3MzTms45g3Sjj864yDzmFClSJJCVK7flm6YhCxaM619d4xAiIm3Ai0Ny8cXsYzltZDAeiF2ASj/mwLezTCzKtBaLScD7qip+KDwQ4qKQcvTONjLHemhoU6x7tkOOA3UYqK1QmAYXjKJtgovNwJp+xe8rDuqwcPBvsujLv1E3/Mq0Sj/m+uaOkbV+C3m3BXm/lYwxLqZzOAEangGfqv88gomnFjoiBGg7d/7+zn4LKds27wNOGcTlDIwlspEy3UMGJwHPD0mM19VDG3mQ6oJPkSLRpKVZZ6labiBhnsQJQUQjYnAcsKEPryzA6qcADdNuRk89ZBsW31uxn2Uv7iOrzsLOcyCvNIBfaVk1n8o2m6y9AYwp6bTmmKxyGtwkIs0DiB87FvWAkkE+AxCgDoOgK0rrsQDucJPZ4W3LjFQH/JFOPLXQESVAB4KIvTzRa4jCS8CpDJUAbWM84RkbA95GSpEixcAwDKta1XQmeh0JImYrJlXNAqY7VzDmCxNIf0DV7OcI4YOd8Fkwe1uQC39ZQ9Yb+8OepyIwwoS35tFc7OZbgJt0sghv2a8RkUA/YvaPJRKiTPdjkQdU9vcyhs27U9yEFuegrzSEt+CdwOIcmBwuKfD1conZfNgekD5kxFMLpQRoBK+3OGGz4A/DiwhXD9nVbcZhsJNlqfnvKVIkmrlzJ69I9BoSRrgO9LBm9Kqa5g9xfJPFZfsCFFo26V8bw7dbbY5T1btFpOb/27vz8Kjqcw/g3/ecmclGWMISIEAmCG4scyZa9GpV3JVKa6/7DnrFKqDeunZTW9trtXUtaovVutW1Vu/FumtAxBUzZ2JBJEBmANkT1qwzc977RwYISEjIMmdIvp/nyR8zmTn5hkfPvPlt7z79zCaH0SccjF5RB8+8zTunplWBBKDr4vCOBApE5PG2/GodRjrgKCYPwgMz8NdfDMMVOQay526BWZuAnJ+PlX18eAx7KG6TPelHJoCxWR/CmtgfVa+oGiKyp+NhaT+Xylqoa5wD2gFCociFbmfYg/egGIu3dUCnXN1EAbgBiSgt2HZ0VGnpsoDbOVzRisPoG4CDVsfx28dW44cXLcI4BXD3chzxZhUmx4AbVfe+o32XH6dqBHoilu+FpaqHobFn/XcIgDbv+Olo2v52nDnA+n5ePHRELn4qBsJWD5QP9GL1QyvwrgE8v3vnMFUtqEnggc0JzPlwE55IOMiecQBmNgA/V+2kzyVyVSprIRagO8hVbif4juNlDQQL4cMJnXJ9hzvgidJIsYg5zu0QLmnxMPr6BMYtqUHxAyuR9fFmmADwr40wn1yDvusacCSAMa35Qao6pNbB3VcPwo9MA4eui+F+FZxRUQfDs338UwGPAEfmAiMzEEOqNhvtTWM/+HZ1QxKRhIhEevrk8dcrseDDTXhpRQNue6MKR8luG7pU1VMbx3UlmzB54lfof0oZchTAlYsx4PPNuCUGnN2u34fSVOpqIU7B76B/cTtBM95DY7/ljm/RJxicHHkgIveVqia65z1Z8C1071PwNQkURupgLK/bdQf3khrI0lrkFvhQhBaOZVJVT72D296qwpmvrEXemgaYFy3EUb1M6L82wpxWgHqvQNY3QAZmwDm2N6r7ePF3AAs75hdth47uB68YAMF81ON5+PBHfIBjADRdBnJQtYORL69D5kebIaqN/+5vVAHFufAekAmrw7JQGkldLdQ9b3Z7EAz6n3M7wx4p3oPg4U66egFkr0duEFGKWFZhtzveRlWzqmM46MHVCN69HIesTOgNPgPhDCAMoLLpOkOfgbqcPTSM9ArQ00QcQF0rfuTorQkcN2Ml8j7aCsNR4L2NME0BHjsQdefm49XqBOpX1aH3oExs6G2izGfg1eQxVG6rbO8U/G7yAazBqVKNEn0GJq7CrgVo3soG5GyMQ9WBbC/7VSGr62GsiaVNb3rqQKmshTgFn9TYSjANCeZAMAhzdGQnXL0APIKJKC2UlS07NhyOnuh2jlRRVUkAJ6yO47FBPkzbFkfPNzfgtwu24oVNcVy1DbsWOBmCfx+UjdiJfXYuy8zzACfmAYUZ2IyWd3ADwAErG5CxqBbS4OwcSU0oYAjQ4KBigBe/t3Lxu3wv7s4w8KiIpMcypY4eARXkI4HG7koGZkJxFkq0X5NXbBmciZpeHmDnv1Sj/j44/b3Y2GFZKG2kshZiAZqkaox3O8Oe6HhU+4DSw3JwqaqOUdW+qiotv7MVBAXJ3adE5DLHMQsdB8PdzpHHa2l6AAAgAElEQVRCfWvi+MXf1yJw81JkOgDOX4jM2yPIW9WAW7xAsOmLxcT8oRl49Dd+bB6WCeecfog/eiBqLh+Ir3MMPILW/TFdl2tC9/TB18OEGga2icg3IjJfRJaISLwjftEOIagCOqgAvUON5BR8YwF6nHyFxgPoJzV51aJeBir8mVCjySfOsb2AE3sD/b08D7QrSmUtxCn4JFXpvOOO2khVe9QDx/xnf2hFPSYtr8dBvU2syvDgPVX9MNnCrW0ab0CDAazouMRE1FbxuL7n8ZjdaVDAqowj7/l1MDfEGsfYFMDrlZCL82EO9uEIAO9sf3EWsCbLhz8pULqqHs/+eDhePCkPdjbwmc9EuJVngdoDfNg2sR/0mTXQbYnGn3t8b2BUDjTDwOed8pt2BEUVjA6a9j4BfZGAB3VY3eT6MyG4DXfofbhDHBGpf2iFPv+nlbjqjkLUntAH6jOghZmI5Zp4LMPAPzokC6WVVNZCLECTiouHpdVaSFU16oHxC7fhpnwfrH+uR9YdFThzdA7i4/vge6N7wKOqs9p4ADNwHAYA8KChyQ2IiFxz+OH+7vb/Ym5VDEZsD+ccVcYgDQ5ymz6XvNetxBxdCEXswoWYhOP3eYRydaaBP149CL86uicGL6uF0c8LHdsDsUEePJzZuPY0PUn7j2HaIYF8AHWY0DiIoareLzcidPRXyL9zEp696Fb9NsPAihGf4bJ64O1f+XGXAwQ1gbhp4jMAi1N6ED+lTCprIRagSbYded6y/Be4naOJfvVxnDhvE8a9tgEZDQr8bQ28QzPhMQSHFWbhxL4mvkDb13AOAbARp6aolRwR7VUoVHGmCDIsq+hFt7OkyPKhmagrzICuqIfGkmsy+3uBEdlwMj2I7PFdDooBlLWh+ISIOKr66vBMrBySiSM3x1GQY2BTDx9Ks4BPAFS15xfqVIJKdNQUPDAQSE6/A2gARvbLwrWn5cHz3HqcZxqIzdsCyTCQ+GAs7gLwpSmSvqPD1GFSWQuxAE1Slb0eAeKCgZUxDC6rhhltcuzIijpIeBuMU+oxpG82BqOtBahy/SdROhExclXR6sPUu4Cvepn48orBGOIzkLugGkZVHDJlMOKHZGNJloF5e3yXIgCj7SOVyaVL7ye/9h8OqiDoA1WBSPvOx1cMgNGkAHVw4sJqnL+8Dhn2Noi9DRkiwPUFiBVl4UwAHwFs2dwdpLIWYgGaFAwWHud2ht2JACJ7bcTRnpsQd8ATpRHLKnzG7QypJCINqnrnj/ui4cTeCLy/EXmXLcKI6UMxp58H95nAN3t+I4JQdJdR4p08qEICXryJXABtX/8PAAbyoTsL0G0JjCzdBl9o266tSBfXQFbVYXDvHBwIFqDdQiproe604H2vFi1alNvyq1JqdZ4HqwI5cIoydxaaQzMAqwc034uVQDsOkTc4AkqUThYsWOArLy/PcDtHKonIsmwT0wb6MO38fPzMALacFsYDJvCWiHz3XM/GE0AsKEKpT+uyBDYCUOR0yEakXabg6xLIqHW+O6DRoMDWBLwAutV/l91ZKmshFqBJtbVZr7udYTeVGYJ3ju6FT28ZhtrzByDmEeCWQtQe1xuf9zDwDoB1bb66ogAOC1CidBGL9Thv2zbfpW7nSDURiYnIfI/IKzHFXHsLRklzU8wfwg8gF9X4KqUh00HjmtctSHTAOlBFPpoUoL09WD08EzooY2cRmmsCI7KgQzNQhfYMdtB+JZW1EKfgd9DFbidoKrlY/qODMxEflonjx+VixIvrcM6YbDwxugdmeYBP2nlG3RAAH3dUXiJqH1WtBNTndg5XKT6B4D+a/X4CxRAswkSpSWGq9CGo7KDD6AcCO7vgZXnwaXFP/PvKgRgzbwvMuAIHZkEn9sOqfl58DGBJB/xM2i+kVy1ELlJVQ1X7q+oY7xxdW/yl/lh1j+co75sSXYQPdEIHRCQi6hiz9XjM1rXNfr9E70SJPpvCROmlRL9AiZ7XAdcJoUTP3v5QVXvWx/WsjTF9aVGNzi3dqh+vqdfXaxJ6k6oWtPvnEe0BR0CTQqGK8cFg0Wy3c+wu2Qt5PYD1KNEFpVswoGl/5HZo+w56IupwpaXLCj0e0xw7tnCZ21lcU4/P4UMe5mgRjpOKPbwiCKAk1bHShqAKToesAc3f0QUJjScDqOqrPmBebw8OAuADEAFQkVbdoKjTpbIW4hrQHYz07AXflKAcQPt7wr+hPQHkchMSUfowDPPYRALdphf8HjWeS/xvJJqZhhcE4XTDDUjbdUQ/+DvUANAfcewy0iwijoisEZE5IvKuiJSz+OyOUlcLsQBNMgyd5XaGFinKIR1QgPowBEAdxqOy/aGIqCOIOOUi+NrtHK5rbh3oh9ofisEwUOZCqnRR2e5uSCegLwBP02OYiLZLZS3EKfikQMD/R7cztEhRDuCKdl/HgwIAq9p9mDERdZhAoOhTtzOkBQOfQHHdd56PIQgTyzFeNriQKj00joAOa9c1trfhPFk2d0wo6kpSWQtxBDTJtiuucjtDi0wshmA4SrR9fzgoCqCcfidKJ7YdCdr2snFu53Cd4hMAAZRoj12eNxDslud/NiWoQvvbce5yBihRU6mshViAJqkaF7qdoUVrsRQKE4l2/gXceAQTC1CitCKjVc2A2ylcd7wsQeNU82G7fScIdPMCVDukAN1lAxJRU6mshViA7uDc7naCFp0rDQCWw8SB7bxSAYCVHZCIiDqI4yQ+NM39rD95ZxF8tod1oBYUtit50kXjCGj7dsE3HkLPtprUjNTVQlwDmpSORzA1Y3FyI9Jb7bhGAYAPOigPEXWA4uLhUbczpI3dNyK9rTlQjESim4+AOqiC2c4RUAP5cDgCSnuWylqII6BJth25z+0MrVQOp5074YV94InSTWlp9KRQKMLmEEBjAao4Ktn7HfAgAMFGnCzLXU7mLknugt/+79I2AzkFT81JZS3EAjRJVXZfb5SeGo9iat8UvKIACRagROnEMDAIEHadAYBqfAGgNz7AcACNG5DQzaffAcCDKgAevIncNl9jtz7wRE2lshZiAZqkKhe4naFVZMcUfNvMVy8U/cFNSERpxevNejUrq/YFt3OkhYlSA0EZTByVfMYCC1AggY0AFDntWgfKTUjUrFTWQixAk4qLh61yO0OrOCiHohBvaEab3r8ZgwEAlVjdkbGIqH1GjRqw7eCDD97qdo60ofgEzo51oNwBDwDHSxzAFiTatQ6Um5CoWamshViAJoVC0TluZ2iVSkQgSCALRW28QgEE65M76okoTdh29JJQKHql2znSSONGpMZzj0d1+w1IO1XBaGMB2kwbTqLtUlkLsQBNEtH9Y+ThXElAsQzaxnWggiHcgESUluoNA/Vuh0gbCXwCYAwcjAOgMLHY7Uhpou3tONmGk1qQylqIxzAlWZb/DLcz7IO294Q3eAYoUTqyrMKX3M6QLlS1d00CB+XPQ+2YnnhsRQMqv/keTs5W/URENrmdz1WCKjhtXAPKNpzUglTWQhwBTQqHlx3kdoZ9sLjNO+EVg6HYP9a7EnUjn322su/8+av6uZ3DbarqrXVwyTd1ePzAHGTP34pDR2Ri0Ne1eCLm4FLVdrYi3t819oNv2wioIh+CdR2ciLqQVNZCLECTHMec6XaGfVAObfNO+CHgCChR2snISEwwzdiP3c6RBobVOrjjvhXIt7fCiCnw4WYY967AgBrFL4E2r3/vKto+BS8YCG5Aor1IZS3EAjRJxJntdoZWc1AOtL4AVdWcbfU6pjauk4dl4oiL8jGkTnWEaht30hNRhzOMRNQwsMztHG5rSOCIVQ3I/PsaGE7yOUchr6yHLKmBD8AxbuZzXXtHQLn+k/YilbVQ957KaMKyitK/F/x2BhYDKMDbmoNTpXpvL1XVnOoEzl6bwO9W1aJvvYOMw3tg8rp6fH9wBm5W1bdFxNnbNYio840dO/xDtzOkA9NEzuYYVHd7XgFUxSEAergQK3009oO32vjeAeAh9LQXqayFOAKaFA5HJ7qdodXG41sANfBiREsvrQZGVMZw3+9XYND4EDLXNkBuWw7fI6twSK2DPwDo3/mBiaglodDSkWVlFQe7ncNtCpT7s+CMzMaOGlQADM8EDsxGAsBC99KlAUUV0OZzQDkFT3uVylqIBWiS4+BGtzO0mohCsLQ1O+HFwRHRemT9dRWMRPK5rTHI02sgy+vQA8D3OzcsEbWGiOfIRMLo3tPLADzA/N4mPrp5KOpO7oP4odlwTu6D+PUFqB/kw6cAPnE7o6saR0B32QWvqoaqHqCq41V1nKr20j3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       "f:e,unbind:b(this.node||document,d,e,f||this)}));return this};a[\"un\"+d]=A[\"un\"+d]=function(a){for(var b=this.events||[],e=b.length;e--;)if(b[e].name==d&&(b[e].f==a||!a)){b[e].unbind();b.splice(e,1);!b.length&&delete this.events;break}return this}})(v[y]);A.hover=function(a,b,d,e){return this.mouseover(a,d).mouseout(b,e||d)};A.unhover=function(a,b){return this.unmouseover(a).unmouseout(b)};var r=[];A.drag=function(b,d,f,h,n,p){function u(r,v,w){(r.originalEvent||r).preventDefault();this._drag.x=v;\n",
       "this._drag.y=w;this._drag.id=r.identifier;!q.length&&a.mousemove(e).mouseup(l);q.push({el:this,move_scope:h,start_scope:n,end_scope:p});d&&k.on(\"snap.drag.start.\"+this.id,d);b&&k.on(\"snap.drag.move.\"+this.id,b);f&&k.on(\"snap.drag.end.\"+this.id,f);k(\"snap.drag.start.\"+this.id,n||h||this,v,w,r)}if(!arguments.length){var v;return this.drag(function(a,b){this.attr({transform:v+(v?\"T\":\"t\")+[a,b]})},function(){v=this.transform().local})}this._drag={};r.push({el:this,start:u});this.mousedown(u);return this};\n",
       "A.undrag=function(){for(var b=r.length;b--;)r[b].el==this&&(this.unmousedown(r[b].start),r.splice(b,1),k.unbind(\"snap.drag.*.\"+this.id));!r.length&&a.unmousemove(e).unmouseup(l);return this}});C.plugin(function(a,v,y,C){y=y.prototype;var A=/^\\s*url\\((.+)\\)/,w=String,z=a._.$;a.filter={};y.filter=function(d){var f=this;\"svg\"!=f.type&&(f=f.paper);d=a.parse(w(d));var k=a._.id(),u=z(\"filter\");z(u,{id:k,filterUnits:\"userSpaceOnUse\"});u.appendChild(d.node);f.defs.appendChild(u);return new v(u)};k.on(\"snap.util.getattr.filter\",\n",
       "function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
       "function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
       "{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
       "function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
       "d})};a.filter.saturate.toString=function(){return this()};a.filter.hueRotate=function(d){return a.format('<feColorMatrix type=\"hueRotate\" values=\"{angle}\"/>',{angle:d||0})};a.filter.hueRotate.toString=function(){return this()};a.filter.invert=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncG type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncB type=\"table\" tableValues=\"{amount} {amount2}\"/></feComponentTransfer>',{amount:d,\n",
       "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
       "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
       "\n",
       "]]> </script>\n",
       "<script> <![CDATA[\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key);\n",
       "        } else {\n",
       "            this.node.setAttribute(key, val);\n",
       "            return this;\n",
       "        }\n",
       "    };\n",
       "\n",
       "    Element.prototype.init_gadfly = function() {\n",
       "        this.mouseenter(Gadfly.plot_mouseover)\n",
       "            .mouseleave(Gadfly.plot_mouseout)\n",
       "            .dblclick(Gadfly.plot_dblclick)\n",
       "            .mousewheel(Gadfly.guide_background_scroll)\n",
       "            .drag(Gadfly.guide_background_drag_onmove,\n",
       "                  Gadfly.guide_background_drag_onstart,\n",
       "                  Gadfly.guide_background_drag_onend);\n",
       "        this.mouseenter(function (event) {\n",
       "            init_pan_zoom(this.plotroot());\n",
       "        });\n",
       "        return this;\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    var keyboard_zoom = function(event) {\n",
       "        if (event.which == 187) { // plus\n",
       "            increase_zoom_by_position(root, 0.1, true);\n",
       "        } else if (event.which == 189) { // minus\n",
       "            increase_zoom_by_position(root, -0.1, true);\n",
       "        }\n",
       "    };\n",
       "    root.data(\"keyboard_zoom\", keyboard_zoom);\n",
       "    window.addEventListener(\"keyup\", keyboard_zoom);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "// Reset pan and zoom on double click\n",
       "Gadfly.plot_dblclick = function(event) {\n",
       "  set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
       "};\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
       "    root.data(\"keyboard_zoom\", undefined);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// drag actions, i.e. zooming and panning\n",
       "var pan_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        root.data(\"dx\", 0);\n",
       "        root.data(\"dy\", 0);\n",
       "        root.data(\"tx0\", root.data(\"tx\"));\n",
       "        root.data(\"ty0\", root.data(\"ty\"));\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        dx /= px_per_mm;\n",
       "        dy /= px_per_mm;\n",
       "\n",
       "        var tx0 = root.data(\"tx\"),\n",
       "            ty0 = root.data(\"ty\");\n",
       "\n",
       "        var dx0 = root.data(\"dx\"),\n",
       "            dy0 = root.data(\"dy\");\n",
       "\n",
       "        root.data(\"dx\", dx);\n",
       "        root.data(\"dy\", dy);\n",
       "\n",
       "        dx = dx - dx0;\n",
       "        dy = dy - dy0;\n",
       "\n",
       "        var tx = tx0 + dx,\n",
       "            ty = ty0 + dy;\n",
       "\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
       "    }\n",
       "};\n",
       "\n",
       "var zoom_box;\n",
       "var zoom_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        var bounds = root.plotbounds();\n",
       "        var width = bounds.x1 - bounds.x0,\n",
       "            height = bounds.y1 - bounds.y0;\n",
       "        var ratio = width / height;\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        x = xscalable ? x / px_per_mm : bounds.x0;\n",
       "        y = yscalable ? y / px_per_mm : bounds.y0;\n",
       "        var w = xscalable ? 0 : width;\n",
       "        var h = yscalable ? 0 : height;\n",
       "        zoom_box = root.rect(x, y, w, h).attr({\n",
       "            \"fill\": \"#000\",\n",
       "            \"opacity\": 0.25\n",
       "        });\n",
       "        zoom_box.data(\"ratio\", ratio);\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        var bounds = root.plotbounds();\n",
       "        if (yscalable) {\n",
       "            y /= px_per_mm;\n",
       "            y = Math.max(bounds.y0, y);\n",
       "            y = Math.min(bounds.y1, y);\n",
       "        } else {\n",
       "            y = bounds.y1;\n",
       "        }\n",
       "        if (xscalable) {\n",
       "            x /= px_per_mm;\n",
       "            x = Math.max(bounds.x0, x);\n",
       "            x = Math.min(bounds.x1, x);\n",
       "        } else {\n",
       "            x = bounds.x1;\n",
       "        }\n",
       "\n",
       "        dx = x - zoom_box.attr(\"x\");\n",
       "        dy = y - zoom_box.attr(\"y\");\n",
       "        if (xscalable && yscalable) {\n",
       "            var ratio = zoom_box.data(\"ratio\");\n",
       "            var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
       "            var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
       "            dx = width * dx / Math.abs(dx);\n",
       "            dy = height * dy / Math.abs(dy);\n",
       "        }\n",
       "        var xoffset = 0,\n",
       "            yoffset = 0;\n",
       "        if (dx < 0) {\n",
       "            xoffset = dx;\n",
       "            dx = -1 * dx;\n",
       "        }\n",
       "        if (dy < 0) {\n",
       "            yoffset = dy;\n",
       "            dy = -1 * dy;\n",
       "        }\n",
       "        if (isNaN(dy)) {\n",
       "            dy = 0.0;\n",
       "        }\n",
       "        if (isNaN(dx)) {\n",
       "            dx = 0.0;\n",
       "        }\n",
       "        zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
       "        zoom_box.attr(\"width\", dx);\n",
       "        zoom_box.attr(\"height\", dy);\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var zoom_bounds = zoom_box.getBBox();\n",
       "        if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
       "            return;\n",
       "        }\n",
       "        var plot_bounds = root.plotbounds();\n",
       "        var zoom_factor = 1.0;\n",
       "        if (yscalable) {\n",
       "            zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
       "        } else {\n",
       "            zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
       "        }\n",
       "        var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
       "            ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
       "        zoom_box.remove();\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        zoom_box.remove();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
       "    var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
       "    var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
       "    var drag_action = zoomable ? zoom_action :\n",
       "                      panable  ? pan_action :\n",
       "                                 undefined;\n",
       "    root.data(\"drag_action\", drag_action);\n",
       "    if (drag_action) {\n",
       "        var cancel_drag_action = function(event) {\n",
       "            if (event.which == 27) { // esc key\n",
       "                drag_action.cancel(root);\n",
       "                root.data(\"drag_action\", undefined);\n",
       "            }\n",
       "        };\n",
       "        window.addEventListener(\"keyup\", cancel_drag_action);\n",
       "        root.data(\"cancel_drag_action\", cancel_drag_action);\n",
       "        drag_action.start(root, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.update(root, dx, dy, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
       "    root.data(\"cancel_drag_action\", undefined);\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.end(root, event);\n",
       "    }\n",
       "    root.data(\"drag_action\", undefined);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
       "        event.preventDefault();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
       "// The constants a, b, and c are solved using the constraint that the function\n",
       "// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
       "var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return a * Math.exp(b * position) + c;\n",
       "}\n",
       "\n",
       "// inverse of scale_from_slider_position\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return 1 / b * Math.log((scale - c) / a);\n",
       "}\n",
       "\n",
       "var increase_zoom_by_position = function(root, delta_position, animate) {\n",
       "    var scale = root.data(\"scale\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\");\n",
       "    var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
       "    position += delta_position;\n",
       "    scale = scale_from_slider_position(position, min_scale, max_scale);\n",
       "    set_zoom(root, scale, animate);\n",
       "}\n",
       "\n",
       "var set_zoom = function(root, scale, animate) {\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"scale\");\n",
       "    var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
       "    if (animate) {\n",
       "        Snap.animate(\n",
       "            old_scale,\n",
       "            new_scale,\n",
       "            function (new_scale) {\n",
       "                update_plot_scale(root, new_scale);\n",
       "            },\n",
       "            200);\n",
       "    } else {\n",
       "        update_plot_scale(root, new_scale);\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
       "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
       "            factory(Snap, Gadfly);\n",
       "        });\n",
       "      } else {\n",
       "          factory(glob.Snap, glob.Gadfly);\n",
       "      }\n",
       "})(window, function (Snap, Gadfly) {\n",
       "    var fig = Snap(\"#img-bda2e69a\");\n",
       "fig.select(\"#img-bda2e69a-5\")\n",
       "   .init_gadfly();\n",
       "fig.select(\"#img-bda2e69a-7\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-7\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-8\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-8\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-15\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-15\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-15\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-17\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-17\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-17\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#img-bda2e69a-18\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-18\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-18\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-18\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-18\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-19\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-19\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-bda2e69a-19\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "    });\n",
       "]]> </script>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "Plot(...)"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(x = x, y = y, Geom.line, Geom.point)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stacking plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
       "function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
       "{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
       "function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
       "d})};a.filter.saturate.toString=function(){return this()};a.filter.hueRotate=function(d){return a.format('<feColorMatrix type=\"hueRotate\" values=\"{angle}\"/>',{angle:d||0})};a.filter.hueRotate.toString=function(){return this()};a.filter.invert=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncG type=\"table\" tableValues=\"{amount} {amount2}\"/><feFuncB type=\"table\" tableValues=\"{amount} {amount2}\"/></feComponentTransfer>',{amount:d,\n",
       "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
       "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
       "\n",
       "]]> </script>\n",
       "<script> <![CDATA[\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key);\n",
       "        } else {\n",
       "            this.node.setAttribute(key, val);\n",
       "            return this;\n",
       "        }\n",
       "    };\n",
       "\n",
       "    Element.prototype.init_gadfly = function() {\n",
       "        this.mouseenter(Gadfly.plot_mouseover)\n",
       "            .mouseleave(Gadfly.plot_mouseout)\n",
       "            .dblclick(Gadfly.plot_dblclick)\n",
       "            .mousewheel(Gadfly.guide_background_scroll)\n",
       "            .drag(Gadfly.guide_background_drag_onmove,\n",
       "                  Gadfly.guide_background_drag_onstart,\n",
       "                  Gadfly.guide_background_drag_onend);\n",
       "        this.mouseenter(function (event) {\n",
       "            init_pan_zoom(this.plotroot());\n",
       "        });\n",
       "        return this;\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    var keyboard_zoom = function(event) {\n",
       "        if (event.which == 187) { // plus\n",
       "            increase_zoom_by_position(root, 0.1, true);\n",
       "        } else if (event.which == 189) { // minus\n",
       "            increase_zoom_by_position(root, -0.1, true);\n",
       "        }\n",
       "    };\n",
       "    root.data(\"keyboard_zoom\", keyboard_zoom);\n",
       "    window.addEventListener(\"keyup\", keyboard_zoom);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "// Reset pan and zoom on double click\n",
       "Gadfly.plot_dblclick = function(event) {\n",
       "  set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
       "};\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
       "    root.data(\"keyboard_zoom\", undefined);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// drag actions, i.e. zooming and panning\n",
       "var pan_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        root.data(\"dx\", 0);\n",
       "        root.data(\"dy\", 0);\n",
       "        root.data(\"tx0\", root.data(\"tx\"));\n",
       "        root.data(\"ty0\", root.data(\"ty\"));\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        dx /= px_per_mm;\n",
       "        dy /= px_per_mm;\n",
       "\n",
       "        var tx0 = root.data(\"tx\"),\n",
       "            ty0 = root.data(\"ty\");\n",
       "\n",
       "        var dx0 = root.data(\"dx\"),\n",
       "            dy0 = root.data(\"dy\");\n",
       "\n",
       "        root.data(\"dx\", dx);\n",
       "        root.data(\"dy\", dy);\n",
       "\n",
       "        dx = dx - dx0;\n",
       "        dy = dy - dy0;\n",
       "\n",
       "        var tx = tx0 + dx,\n",
       "            ty = ty0 + dy;\n",
       "\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
       "    }\n",
       "};\n",
       "\n",
       "var zoom_box;\n",
       "var zoom_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        var bounds = root.plotbounds();\n",
       "        var width = bounds.x1 - bounds.x0,\n",
       "            height = bounds.y1 - bounds.y0;\n",
       "        var ratio = width / height;\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        x = xscalable ? x / px_per_mm : bounds.x0;\n",
       "        y = yscalable ? y / px_per_mm : bounds.y0;\n",
       "        var w = xscalable ? 0 : width;\n",
       "        var h = yscalable ? 0 : height;\n",
       "        zoom_box = root.rect(x, y, w, h).attr({\n",
       "            \"fill\": \"#000\",\n",
       "            \"opacity\": 0.25\n",
       "        });\n",
       "        zoom_box.data(\"ratio\", ratio);\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        var bounds = root.plotbounds();\n",
       "        if (yscalable) {\n",
       "            y /= px_per_mm;\n",
       "            y = Math.max(bounds.y0, y);\n",
       "            y = Math.min(bounds.y1, y);\n",
       "        } else {\n",
       "            y = bounds.y1;\n",
       "        }\n",
       "        if (xscalable) {\n",
       "            x /= px_per_mm;\n",
       "            x = Math.max(bounds.x0, x);\n",
       "            x = Math.min(bounds.x1, x);\n",
       "        } else {\n",
       "            x = bounds.x1;\n",
       "        }\n",
       "\n",
       "        dx = x - zoom_box.attr(\"x\");\n",
       "        dy = y - zoom_box.attr(\"y\");\n",
       "        if (xscalable && yscalable) {\n",
       "            var ratio = zoom_box.data(\"ratio\");\n",
       "            var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
       "            var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
       "            dx = width * dx / Math.abs(dx);\n",
       "            dy = height * dy / Math.abs(dy);\n",
       "        }\n",
       "        var xoffset = 0,\n",
       "            yoffset = 0;\n",
       "        if (dx < 0) {\n",
       "            xoffset = dx;\n",
       "            dx = -1 * dx;\n",
       "        }\n",
       "        if (dy < 0) {\n",
       "            yoffset = dy;\n",
       "            dy = -1 * dy;\n",
       "        }\n",
       "        if (isNaN(dy)) {\n",
       "            dy = 0.0;\n",
       "        }\n",
       "        if (isNaN(dx)) {\n",
       "            dx = 0.0;\n",
       "        }\n",
       "        zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
       "        zoom_box.attr(\"width\", dx);\n",
       "        zoom_box.attr(\"height\", dy);\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var zoom_bounds = zoom_box.getBBox();\n",
       "        if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
       "            return;\n",
       "        }\n",
       "        var plot_bounds = root.plotbounds();\n",
       "        var zoom_factor = 1.0;\n",
       "        if (yscalable) {\n",
       "            zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
       "        } else {\n",
       "            zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
       "        }\n",
       "        var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
       "            ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
       "        zoom_box.remove();\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        zoom_box.remove();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
       "    var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
       "    var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
       "    var drag_action = zoomable ? zoom_action :\n",
       "                      panable  ? pan_action :\n",
       "                                 undefined;\n",
       "    root.data(\"drag_action\", drag_action);\n",
       "    if (drag_action) {\n",
       "        var cancel_drag_action = function(event) {\n",
       "            if (event.which == 27) { // esc key\n",
       "                drag_action.cancel(root);\n",
       "                root.data(\"drag_action\", undefined);\n",
       "            }\n",
       "        };\n",
       "        window.addEventListener(\"keyup\", cancel_drag_action);\n",
       "        root.data(\"cancel_drag_action\", cancel_drag_action);\n",
       "        drag_action.start(root, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.update(root, dx, dy, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
       "    root.data(\"cancel_drag_action\", undefined);\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.end(root, event);\n",
       "    }\n",
       "    root.data(\"drag_action\", undefined);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
       "        event.preventDefault();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
       "// The constants a, b, and c are solved using the constraint that the function\n",
       "// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
       "var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return a * Math.exp(b * position) + c;\n",
       "}\n",
       "\n",
       "// inverse of scale_from_slider_position\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return 1 / b * Math.log((scale - c) / a);\n",
       "}\n",
       "\n",
       "var increase_zoom_by_position = function(root, delta_position, animate) {\n",
       "    var scale = root.data(\"scale\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\");\n",
       "    var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
       "    position += delta_position;\n",
       "    scale = scale_from_slider_position(position, min_scale, max_scale);\n",
       "    set_zoom(root, scale, animate);\n",
       "}\n",
       "\n",
       "var set_zoom = function(root, scale, animate) {\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"scale\");\n",
       "    var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
       "    if (animate) {\n",
       "        Snap.animate(\n",
       "            old_scale,\n",
       "            new_scale,\n",
       "            function (new_scale) {\n",
       "                update_plot_scale(root, new_scale);\n",
       "            },\n",
       "            200);\n",
       "    } else {\n",
       "        update_plot_scale(root, new_scale);\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key);\n",
       "        } else {\n",
       "            this.node.setAttribute(key, val);\n",
       "            return this;\n",
       "        }\n",
       "    };\n",
       "\n",
       "    Element.prototype.init_gadfly = function() {\n",
       "        this.mouseenter(Gadfly.plot_mouseover)\n",
       "            .mouseleave(Gadfly.plot_mouseout)\n",
       "            .dblclick(Gadfly.plot_dblclick)\n",
       "            .mousewheel(Gadfly.guide_background_scroll)\n",
       "            .drag(Gadfly.guide_background_drag_onmove,\n",
       "                  Gadfly.guide_background_drag_onstart,\n",
       "                  Gadfly.guide_background_drag_onend);\n",
       "        this.mouseenter(function (event) {\n",
       "            init_pan_zoom(this.plotroot());\n",
       "        });\n",
       "        return this;\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    var keyboard_zoom = function(event) {\n",
       "        if (event.which == 187) { // plus\n",
       "            increase_zoom_by_position(root, 0.1, true);\n",
       "        } else if (event.which == 189) { // minus\n",
       "            increase_zoom_by_position(root, -0.1, true);\n",
       "        }\n",
       "    };\n",
       "    root.data(\"keyboard_zoom\", keyboard_zoom);\n",
       "    window.addEventListener(\"keyup\", keyboard_zoom);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "// Reset pan and zoom on double click\n",
       "Gadfly.plot_dblclick = function(event) {\n",
       "  set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
       "};\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
       "    root.data(\"keyboard_zoom\", undefined);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// drag actions, i.e. zooming and panning\n",
       "var pan_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        root.data(\"dx\", 0);\n",
       "        root.data(\"dy\", 0);\n",
       "        root.data(\"tx0\", root.data(\"tx\"));\n",
       "        root.data(\"ty0\", root.data(\"ty\"));\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        dx /= px_per_mm;\n",
       "        dy /= px_per_mm;\n",
       "\n",
       "        var tx0 = root.data(\"tx\"),\n",
       "            ty0 = root.data(\"ty\");\n",
       "\n",
       "        var dx0 = root.data(\"dx\"),\n",
       "            dy0 = root.data(\"dy\");\n",
       "\n",
       "        root.data(\"dx\", dx);\n",
       "        root.data(\"dy\", dy);\n",
       "\n",
       "        dx = dx - dx0;\n",
       "        dy = dy - dy0;\n",
       "\n",
       "        var tx = tx0 + dx,\n",
       "            ty = ty0 + dy;\n",
       "\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
       "    }\n",
       "};\n",
       "\n",
       "var zoom_box;\n",
       "var zoom_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        var bounds = root.plotbounds();\n",
       "        var width = bounds.x1 - bounds.x0,\n",
       "            height = bounds.y1 - bounds.y0;\n",
       "        var ratio = width / height;\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        x = xscalable ? x / px_per_mm : bounds.x0;\n",
       "        y = yscalable ? y / px_per_mm : bounds.y0;\n",
       "        var w = xscalable ? 0 : width;\n",
       "        var h = yscalable ? 0 : height;\n",
       "        zoom_box = root.rect(x, y, w, h).attr({\n",
       "            \"fill\": \"#000\",\n",
       "            \"opacity\": 0.25\n",
       "        });\n",
       "        zoom_box.data(\"ratio\", ratio);\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        var bounds = root.plotbounds();\n",
       "        if (yscalable) {\n",
       "            y /= px_per_mm;\n",
       "            y = Math.max(bounds.y0, y);\n",
       "            y = Math.min(bounds.y1, y);\n",
       "        } else {\n",
       "            y = bounds.y1;\n",
       "        }\n",
       "        if (xscalable) {\n",
       "            x /= px_per_mm;\n",
       "            x = Math.max(bounds.x0, x);\n",
       "            x = Math.min(bounds.x1, x);\n",
       "        } else {\n",
       "            x = bounds.x1;\n",
       "        }\n",
       "\n",
       "        dx = x - zoom_box.attr(\"x\");\n",
       "        dy = y - zoom_box.attr(\"y\");\n",
       "        if (xscalable && yscalable) {\n",
       "            var ratio = zoom_box.data(\"ratio\");\n",
       "            var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
       "            var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
       "            dx = width * dx / Math.abs(dx);\n",
       "            dy = height * dy / Math.abs(dy);\n",
       "        }\n",
       "        var xoffset = 0,\n",
       "            yoffset = 0;\n",
       "        if (dx < 0) {\n",
       "            xoffset = dx;\n",
       "            dx = -1 * dx;\n",
       "        }\n",
       "        if (dy < 0) {\n",
       "            yoffset = dy;\n",
       "            dy = -1 * dy;\n",
       "        }\n",
       "        if (isNaN(dy)) {\n",
       "            dy = 0.0;\n",
       "        }\n",
       "        if (isNaN(dx)) {\n",
       "            dx = 0.0;\n",
       "        }\n",
       "        zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
       "        zoom_box.attr(\"width\", dx);\n",
       "        zoom_box.attr(\"height\", dy);\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var zoom_bounds = zoom_box.getBBox();\n",
       "        if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
       "            return;\n",
       "        }\n",
       "        var plot_bounds = root.plotbounds();\n",
       "        var zoom_factor = 1.0;\n",
       "        if (yscalable) {\n",
       "            zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
       "        } else {\n",
       "            zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
       "        }\n",
       "        var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
       "            ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
       "        zoom_box.remove();\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        zoom_box.remove();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
       "    var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
       "    var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
       "    var drag_action = zoomable ? zoom_action :\n",
       "                      panable  ? pan_action :\n",
       "                                 undefined;\n",
       "    root.data(\"drag_action\", drag_action);\n",
       "    if (drag_action) {\n",
       "        var cancel_drag_action = function(event) {\n",
       "            if (event.which == 27) { // esc key\n",
       "                drag_action.cancel(root);\n",
       "                root.data(\"drag_action\", undefined);\n",
       "            }\n",
       "        };\n",
       "        window.addEventListener(\"keyup\", cancel_drag_action);\n",
       "        root.data(\"cancel_drag_action\", cancel_drag_action);\n",
       "        drag_action.start(root, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.update(root, dx, dy, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
       "    root.data(\"cancel_drag_action\", undefined);\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.end(root, event);\n",
       "    }\n",
       "    root.data(\"drag_action\", undefined);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
       "        event.preventDefault();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
       "// The constants a, b, and c are solved using the constraint that the function\n",
       "// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
       "var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return a * Math.exp(b * position) + c;\n",
       "}\n",
       "\n",
       "// inverse of scale_from_slider_position\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return 1 / b * Math.log((scale - c) / a);\n",
       "}\n",
       "\n",
       "var increase_zoom_by_position = function(root, delta_position, animate) {\n",
       "    var scale = root.data(\"scale\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\");\n",
       "    var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
       "    position += delta_position;\n",
       "    scale = scale_from_slider_position(position, min_scale, max_scale);\n",
       "    set_zoom(root, scale, animate);\n",
       "}\n",
       "\n",
       "var set_zoom = function(root, scale, animate) {\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"scale\");\n",
       "    var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
       "    if (animate) {\n",
       "        Snap.animate(\n",
       "            old_scale,\n",
       "            new_scale,\n",
       "            function (new_scale) {\n",
       "                update_plot_scale(root, new_scale);\n",
       "            },\n",
       "            200);\n",
       "    } else {\n",
       "        update_plot_scale(root, new_scale);\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key);\n",
       "        } else {\n",
       "            this.node.setAttribute(key, val);\n",
       "            return this;\n",
       "        }\n",
       "    };\n",
       "\n",
       "    Element.prototype.init_gadfly = function() {\n",
       "        this.mouseenter(Gadfly.plot_mouseover)\n",
       "            .mouseleave(Gadfly.plot_mouseout)\n",
       "            .dblclick(Gadfly.plot_dblclick)\n",
       "            .mousewheel(Gadfly.guide_background_scroll)\n",
       "            .drag(Gadfly.guide_background_drag_onmove,\n",
       "                  Gadfly.guide_background_drag_onstart,\n",
       "                  Gadfly.guide_background_drag_onend);\n",
       "        this.mouseenter(function (event) {\n",
       "            init_pan_zoom(this.plotroot());\n",
       "        });\n",
       "        return this;\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    var keyboard_zoom = function(event) {\n",
       "        if (event.which == 187) { // plus\n",
       "            increase_zoom_by_position(root, 0.1, true);\n",
       "        } else if (event.which == 189) { // minus\n",
       "            increase_zoom_by_position(root, -0.1, true);\n",
       "        }\n",
       "    };\n",
       "    root.data(\"keyboard_zoom\", keyboard_zoom);\n",
       "    window.addEventListener(\"keyup\", keyboard_zoom);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "// Reset pan and zoom on double click\n",
       "Gadfly.plot_dblclick = function(event) {\n",
       "  set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
       "};\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
       "    root.data(\"keyboard_zoom\", undefined);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// drag actions, i.e. zooming and panning\n",
       "var pan_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        root.data(\"dx\", 0);\n",
       "        root.data(\"dy\", 0);\n",
       "        root.data(\"tx0\", root.data(\"tx\"));\n",
       "        root.data(\"ty0\", root.data(\"ty\"));\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        dx /= px_per_mm;\n",
       "        dy /= px_per_mm;\n",
       "\n",
       "        var tx0 = root.data(\"tx\"),\n",
       "            ty0 = root.data(\"ty\");\n",
       "\n",
       "        var dx0 = root.data(\"dx\"),\n",
       "            dy0 = root.data(\"dy\");\n",
       "\n",
       "        root.data(\"dx\", dx);\n",
       "        root.data(\"dy\", dy);\n",
       "\n",
       "        dx = dx - dx0;\n",
       "        dy = dy - dy0;\n",
       "\n",
       "        var tx = tx0 + dx,\n",
       "            ty = ty0 + dy;\n",
       "\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
       "    }\n",
       "};\n",
       "\n",
       "var zoom_box;\n",
       "var zoom_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        var bounds = root.plotbounds();\n",
       "        var width = bounds.x1 - bounds.x0,\n",
       "            height = bounds.y1 - bounds.y0;\n",
       "        var ratio = width / height;\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        x = xscalable ? x / px_per_mm : bounds.x0;\n",
       "        y = yscalable ? y / px_per_mm : bounds.y0;\n",
       "        var w = xscalable ? 0 : width;\n",
       "        var h = yscalable ? 0 : height;\n",
       "        zoom_box = root.rect(x, y, w, h).attr({\n",
       "            \"fill\": \"#000\",\n",
       "            \"opacity\": 0.25\n",
       "        });\n",
       "        zoom_box.data(\"ratio\", ratio);\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        var bounds = root.plotbounds();\n",
       "        if (yscalable) {\n",
       "            y /= px_per_mm;\n",
       "            y = Math.max(bounds.y0, y);\n",
       "            y = Math.min(bounds.y1, y);\n",
       "        } else {\n",
       "            y = bounds.y1;\n",
       "        }\n",
       "        if (xscalable) {\n",
       "            x /= px_per_mm;\n",
       "            x = Math.max(bounds.x0, x);\n",
       "            x = Math.min(bounds.x1, x);\n",
       "        } else {\n",
       "            x = bounds.x1;\n",
       "        }\n",
       "\n",
       "        dx = x - zoom_box.attr(\"x\");\n",
       "        dy = y - zoom_box.attr(\"y\");\n",
       "        if (xscalable && yscalable) {\n",
       "            var ratio = zoom_box.data(\"ratio\");\n",
       "            var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
       "            var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
       "            dx = width * dx / Math.abs(dx);\n",
       "            dy = height * dy / Math.abs(dy);\n",
       "        }\n",
       "        var xoffset = 0,\n",
       "            yoffset = 0;\n",
       "        if (dx < 0) {\n",
       "            xoffset = dx;\n",
       "            dx = -1 * dx;\n",
       "        }\n",
       "        if (dy < 0) {\n",
       "            yoffset = dy;\n",
       "            dy = -1 * dy;\n",
       "        }\n",
       "        if (isNaN(dy)) {\n",
       "            dy = 0.0;\n",
       "        }\n",
       "        if (isNaN(dx)) {\n",
       "            dx = 0.0;\n",
       "        }\n",
       "        zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
       "        zoom_box.attr(\"width\", dx);\n",
       "        zoom_box.attr(\"height\", dy);\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var zoom_bounds = zoom_box.getBBox();\n",
       "        if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
       "            return;\n",
       "        }\n",
       "        var plot_bounds = root.plotbounds();\n",
       "        var zoom_factor = 1.0;\n",
       "        if (yscalable) {\n",
       "            zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
       "        } else {\n",
       "            zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
       "        }\n",
       "        var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
       "            ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
       "        zoom_box.remove();\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        zoom_box.remove();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
       "    var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
       "    var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
       "    var drag_action = zoomable ? zoom_action :\n",
       "                      panable  ? pan_action :\n",
       "                                 undefined;\n",
       "    root.data(\"drag_action\", drag_action);\n",
       "    if (drag_action) {\n",
       "        var cancel_drag_action = function(event) {\n",
       "            if (event.which == 27) { // esc key\n",
       "                drag_action.cancel(root);\n",
       "                root.data(\"drag_action\", undefined);\n",
       "            }\n",
       "        };\n",
       "        window.addEventListener(\"keyup\", cancel_drag_action);\n",
       "        root.data(\"cancel_drag_action\", cancel_drag_action);\n",
       "        drag_action.start(root, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.update(root, dx, dy, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
       "    root.data(\"cancel_drag_action\", undefined);\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.end(root, event);\n",
       "    }\n",
       "    root.data(\"drag_action\", undefined);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
       "        event.preventDefault();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
       "// The constants a, b, and c are solved using the constraint that the function\n",
       "// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
       "var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return a * Math.exp(b * position) + c;\n",
       "}\n",
       "\n",
       "// inverse of scale_from_slider_position\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return 1 / b * Math.log((scale - c) / a);\n",
       "}\n",
       "\n",
       "var increase_zoom_by_position = function(root, delta_position, animate) {\n",
       "    var scale = root.data(\"scale\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\");\n",
       "    var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
       "    position += delta_position;\n",
       "    scale = scale_from_slider_position(position, min_scale, max_scale);\n",
       "    set_zoom(root, scale, animate);\n",
       "}\n",
       "\n",
       "var set_zoom = function(root, scale, animate) {\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"scale\");\n",
       "    var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
       "    if (animate) {\n",
       "        Snap.animate(\n",
       "            old_scale,\n",
       "            new_scale,\n",
       "            function (new_scale) {\n",
       "                update_plot_scale(root, new_scale);\n",
       "            },\n",
       "            200);\n",
       "    } else {\n",
       "        update_plot_scale(root, new_scale);\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "    if (typeof define === \"function\" && define.amd) {\n",
       "        // Define as an anonymous module\n",
       "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
       "            return factory(Snap);\n",
       "        });\n",
       "    } else {\n",
       "        // Browser globals (glob is window)\n",
       "        // Snap adds itself to window\n",
       "        glob.Gadfly = factory(glob.Snap);\n",
       "    }\n",
       "}(this, function (Snap) {\n",
       "\n",
       "var Gadfly = {};\n",
       "\n",
       "// Get an x/y coordinate value in pixels\n",
       "var xPX = function(fig, x) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
       "};\n",
       "\n",
       "var yPX = function(fig, y) {\n",
       "    var client_box = fig.node.getBoundingClientRect();\n",
       "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
       "};\n",
       "\n",
       "\n",
       "Snap.plugin(function (Snap, Element, Paper, global) {\n",
       "    // Traverse upwards from a snap element to find and return the first\n",
       "    // note with the \"plotroot\" class.\n",
       "    Element.prototype.plotroot = function () {\n",
       "        var element = this;\n",
       "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.svgroot = function () {\n",
       "        var element = this;\n",
       "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
       "            element = element.parent();\n",
       "        }\n",
       "        return element;\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotbounds = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x0: bbox.x,\n",
       "            x1: bbox.x + bbox.width,\n",
       "            y0: bbox.y,\n",
       "            y1: bbox.y + bbox.height\n",
       "        };\n",
       "    };\n",
       "\n",
       "    Element.prototype.plotcenter = function () {\n",
       "        var root = this.plotroot()\n",
       "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
       "        return {\n",
       "            x: bbox.x + bbox.width / 2,\n",
       "            y: bbox.y + bbox.height / 2\n",
       "        };\n",
       "    };\n",
       "\n",
       "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
       "    // does everything right.\n",
       "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
       "    var events = [\"mouseenter\", \"mouseleave\"];\n",
       "\n",
       "    for (i in events) {\n",
       "        (function (event_name) {\n",
       "            var event_name = events[i];\n",
       "            Element.prototype[event_name] = function (fn, scope) {\n",
       "                if (Snap.is(fn, \"function\")) {\n",
       "                    var fn2 = function (event) {\n",
       "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
       "                            return;\n",
       "                        }\n",
       "\n",
       "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
       "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
       "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
       "\n",
       "                        if (reltg != this.node) {\n",
       "                            return fn.apply(this, event);\n",
       "                        }\n",
       "                    };\n",
       "\n",
       "                    if (event_name == \"mouseenter\") {\n",
       "                        this.mouseover(fn2, scope);\n",
       "                    } else {\n",
       "                        this.mouseout(fn2, scope);\n",
       "                    }\n",
       "                }\n",
       "                return this;\n",
       "            };\n",
       "        })(events[i]);\n",
       "    }\n",
       "\n",
       "\n",
       "    Element.prototype.mousewheel = function (fn, scope) {\n",
       "        if (Snap.is(fn, \"function\")) {\n",
       "            var el = this;\n",
       "            var fn2 = function (event) {\n",
       "                fn.apply(el, [event]);\n",
       "            };\n",
       "        }\n",
       "\n",
       "        this.node.addEventListener(\n",
       "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
       "            fn2);\n",
       "\n",
       "        return this;\n",
       "    };\n",
       "\n",
       "\n",
       "    // Snap's attr function can be too slow for things like panning/zooming.\n",
       "    // This is a function to directly update element attributes without going\n",
       "    // through eve.\n",
       "    Element.prototype.attribute = function(key, val) {\n",
       "        if (val === undefined) {\n",
       "            return this.node.getAttribute(key);\n",
       "        } else {\n",
       "            this.node.setAttribute(key, val);\n",
       "            return this;\n",
       "        }\n",
       "    };\n",
       "\n",
       "    Element.prototype.init_gadfly = function() {\n",
       "        this.mouseenter(Gadfly.plot_mouseover)\n",
       "            .mouseleave(Gadfly.plot_mouseout)\n",
       "            .dblclick(Gadfly.plot_dblclick)\n",
       "            .mousewheel(Gadfly.guide_background_scroll)\n",
       "            .drag(Gadfly.guide_background_drag_onmove,\n",
       "                  Gadfly.guide_background_drag_onstart,\n",
       "                  Gadfly.guide_background_drag_onend);\n",
       "        this.mouseenter(function (event) {\n",
       "            init_pan_zoom(this.plotroot());\n",
       "        });\n",
       "        return this;\n",
       "    };\n",
       "});\n",
       "\n",
       "\n",
       "// When the plot is moused over, emphasize the grid lines.\n",
       "Gadfly.plot_mouseover = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    var keyboard_zoom = function(event) {\n",
       "        if (event.which == 187) { // plus\n",
       "            increase_zoom_by_position(root, 0.1, true);\n",
       "        } else if (event.which == 189) { // minus\n",
       "            increase_zoom_by_position(root, -0.1, true);\n",
       "        }\n",
       "    };\n",
       "    root.data(\"keyboard_zoom\", keyboard_zoom);\n",
       "    window.addEventListener(\"keyup\", keyboard_zoom);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    xgridlines.data(\"unfocused_strokedash\",\n",
       "                    xgridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "    ygridlines.data(\"unfocused_strokedash\",\n",
       "                    ygridlines.attribute(\"stroke-dasharray\").replace(/(\\d)(,|$)/g, \"$1mm$2\"));\n",
       "\n",
       "    // emphasize grid lines\n",
       "    var destcolor = root.data(\"focused_xgrid_color\");\n",
       "    xgridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"focused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", \"none\")\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // reveal zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 1.0}, 250);\n",
       "};\n",
       "\n",
       "// Reset pan and zoom on double click\n",
       "Gadfly.plot_dblclick = function(event) {\n",
       "  set_plot_pan_zoom(this.plotroot(), 0.0, 0.0, 1.0);\n",
       "};\n",
       "\n",
       "// Unemphasize grid lines on mouse out.\n",
       "Gadfly.plot_mouseout = function(event) {\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    window.removeEventListener(\"keyup\", root.data(\"keyboard_zoom\"));\n",
       "    root.data(\"keyboard_zoom\", undefined);\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\"),\n",
       "        ygridlines = root.select(\".ygridlines\");\n",
       "\n",
       "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
       "\n",
       "    xgridlines.attribute(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
       "    ygridlines.attribute(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
       "              .selectAll(\"path\")\n",
       "              .animate({stroke: destcolor}, 250);\n",
       "\n",
       "    // hide zoom slider\n",
       "    root.select(\".zoomslider\")\n",
       "        .animate({opacity: 0.0}, 250);\n",
       "};\n",
       "\n",
       "\n",
       "var set_geometry_transform = function(root, tx, ty, scale) {\n",
       "    var xscalable = root.hasClass(\"xscalable\"),\n",
       "        yscalable = root.hasClass(\"yscalable\");\n",
       "\n",
       "    var old_scale = root.data(\"scale\");\n",
       "\n",
       "    var xscale = xscalable ? scale : 1.0,\n",
       "        yscale = yscalable ? scale : 1.0;\n",
       "\n",
       "    tx = xscalable ? tx : 0.0;\n",
       "    ty = yscalable ? ty : 0.0;\n",
       "\n",
       "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
       "\n",
       "    root.selectAll(\".geometry, image\")\n",
       "        .forEach(function (element, i) {\n",
       "            element.transform(t);\n",
       "        });\n",
       "\n",
       "    bounds = root.plotbounds();\n",
       "\n",
       "    if (yscalable) {\n",
       "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
       "        root.selectAll(\".xfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(xfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".ylabels\")\n",
       "            .transform(xfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var y = cy * scale + ty;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (xscalable) {\n",
       "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
       "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
       "        root.selectAll(\".yfixed\")\n",
       "            .forEach(function (element, i) {\n",
       "                element.transform(yfixed_t);\n",
       "            });\n",
       "\n",
       "        root.select(\".xlabels\")\n",
       "            .transform(yfixed_t)\n",
       "            .selectAll(\"text\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var cx = element.asPX(\"x\"),\n",
       "                        cy = element.asPX(\"y\");\n",
       "                    var st = element.data(\"static_transform\");\n",
       "                    unscale_t = new Snap.Matrix();\n",
       "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
       "\n",
       "                    element.transform(unscale_t);\n",
       "\n",
       "                    var x = cx * scale + tx;\n",
       "                    element.attr(\"visibility\",\n",
       "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
       "                    }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
       "    var size_attribs = [\"font-size\"];\n",
       "    var unscaled_selection = \".geometry, .geometry *\";\n",
       "    if (xscalable) {\n",
       "        size_attribs.push(\"rx\");\n",
       "        unscaled_selection += \", .xgridlines\";\n",
       "    }\n",
       "    if (yscalable) {\n",
       "        size_attribs.push(\"ry\");\n",
       "        unscaled_selection += \", .ygridlines\";\n",
       "    }\n",
       "\n",
       "    root.selectAll(unscaled_selection)\n",
       "        .forEach(function (element, i) {\n",
       "            // circle need special help\n",
       "            if (element.node.nodeName == \"circle\") {\n",
       "                var cx = element.attribute(\"cx\"),\n",
       "                    cy = element.attribute(\"cy\");\n",
       "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
       "                                                        cx, cy);\n",
       "                element.transform(unscale_t);\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (i in size_attribs) {\n",
       "                var key = size_attribs[i];\n",
       "                var val = parseFloat(element.attribute(key));\n",
       "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
       "                    element.attribute(key, val * old_scale / scale);\n",
       "                }\n",
       "            }\n",
       "        });\n",
       "};\n",
       "\n",
       "\n",
       "// Find the most appropriate tick scale and update label visibility.\n",
       "var update_tickscale = function(root, scale, axis) {\n",
       "    if (!root.hasClass(axis + \"scalable\")) return;\n",
       "\n",
       "    var tickscales = root.data(axis + \"tickscales\");\n",
       "    var best_tickscale = 1.0;\n",
       "    var best_tickscale_dist = Infinity;\n",
       "    for (tickscale in tickscales) {\n",
       "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
       "        if (dist < best_tickscale_dist) {\n",
       "            best_tickscale_dist = dist;\n",
       "            best_tickscale = tickscale;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
       "        root.data(axis + \"tickscale\", best_tickscale);\n",
       "        var mark_inscale_gridlines = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        var mark_inscale_labels = function (element, i) {\n",
       "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
       "            element.attribute(\"gadfly:inscale\", inscale);\n",
       "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
       "        };\n",
       "\n",
       "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
       "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
       "    var old_scale = root.data(\"scale\");\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    // compute the viewport derived from tx, ty, and scale\n",
       "    var x_min = -width * scale - (scale * width - width),\n",
       "        x_max = width * scale,\n",
       "        y_min = -height * scale - (scale * height - height),\n",
       "        y_max = height * scale;\n",
       "\n",
       "    var x0 = bounds.x0 - scale * bounds.x0,\n",
       "        y0 = bounds.y0 - scale * bounds.y0;\n",
       "\n",
       "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
       "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
       "\n",
       "    tx += x0;\n",
       "    ty += y0;\n",
       "\n",
       "    // when the scale change, we may need to alter which set of\n",
       "    // ticks is being displayed\n",
       "    if (scale != old_scale) {\n",
       "        update_tickscale(root, scale, \"x\");\n",
       "        update_tickscale(root, scale, \"y\");\n",
       "    }\n",
       "\n",
       "    set_geometry_transform(root, tx, ty, scale);\n",
       "\n",
       "    root.data(\"scale\", scale);\n",
       "    root.data(\"tx\", tx);\n",
       "    root.data(\"ty\", ty);\n",
       "};\n",
       "\n",
       "\n",
       "var scale_centered_translation = function(root, scale) {\n",
       "    var bounds = root.plotbounds();\n",
       "\n",
       "    var width = bounds.x1 - bounds.x0,\n",
       "        height = bounds.y1 - bounds.y0;\n",
       "\n",
       "    var tx0 = root.data(\"tx\"),\n",
       "        ty0 = root.data(\"ty\");\n",
       "\n",
       "    var scale0 = root.data(\"scale\");\n",
       "\n",
       "    // how off from center the current view is\n",
       "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
       "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
       "\n",
       "    // rescale offsets\n",
       "    xoff = xoff * scale / scale0;\n",
       "    yoff = yoff * scale / scale0;\n",
       "\n",
       "    // adjust for the panel position being scaled\n",
       "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
       "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
       "\n",
       "    return {\n",
       "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
       "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "// Initialize data for panning zooming if it isn't already.\n",
       "var init_pan_zoom = function(root) {\n",
       "    if (root.data(\"zoompan-ready\")) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
       "    // stroke-width when zooming, we force it to a fixed value.\n",
       "    var px_per_mm = root.node.getCTM().a;\n",
       "\n",
       "    // Drag events report deltas in pixels, which we'd like to convert to\n",
       "    // millimeters.\n",
       "    root.data(\"px_per_mm\", px_per_mm);\n",
       "\n",
       "    root.selectAll(\"path\")\n",
       "        .forEach(function (element, i) {\n",
       "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
       "        if (sw > 0) {\n",
       "            element.attribute(\"stroke-width\", sw);\n",
       "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
       "        }\n",
       "    });\n",
       "\n",
       "    // Store ticks labels original tranformation\n",
       "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
       "        .forEach(function (element, i) {\n",
       "            var lm = element.transform().localMatrix;\n",
       "            element.data(\"static_transform\",\n",
       "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
       "        });\n",
       "\n",
       "    var xgridlines = root.select(\".xgridlines\");\n",
       "    var ygridlines = root.select(\".ygridlines\");\n",
       "    var xlabels = root.select(\".xlabels\");\n",
       "    var ylabels = root.select(\".ylabels\");\n",
       "\n",
       "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
       "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
       "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
       "    if (root.data(\"xtickscales\") === undefined) {\n",
       "\n",
       "        // index all the tick scales that are listed\n",
       "        var xtickscales = {};\n",
       "        var ytickscales = {};\n",
       "        var add_x_tick_scales = function (element, i) {\n",
       "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "        var add_y_tick_scales = function (element, i) {\n",
       "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
       "        };\n",
       "\n",
       "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
       "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
       "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
       "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
       "\n",
       "        root.data(\"xtickscales\", xtickscales);\n",
       "        root.data(\"ytickscales\", ytickscales);\n",
       "        root.data(\"xtickscale\", 1.0);\n",
       "    }\n",
       "\n",
       "    var min_scale = 1.0, max_scale = 1.0;\n",
       "    for (scale in xtickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    for (scale in ytickscales) {\n",
       "        min_scale = Math.min(min_scale, scale);\n",
       "        max_scale = Math.max(max_scale, scale);\n",
       "    }\n",
       "    root.data(\"min_scale\", min_scale);\n",
       "    root.data(\"max_scale\", max_scale);\n",
       "\n",
       "    // store the original positions of labels\n",
       "    if (xlabels) {\n",
       "        xlabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"x\", element.asPX(\"x\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    if (ylabels) {\n",
       "        ylabels.selectAll(\"text\")\n",
       "               .forEach(function (element, i) {\n",
       "                   element.data(\"y\", element.asPX(\"y\"));\n",
       "               });\n",
       "    }\n",
       "\n",
       "    // mark grid lines and ticks as in or out of scale.\n",
       "    var mark_inscale = function (element, i) {\n",
       "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
       "    };\n",
       "\n",
       "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
       "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
       "\n",
       "    // figure out the upper ond lower bounds on panning using the maximum\n",
       "    // and minum grid lines\n",
       "    var bounds = root.plotbounds();\n",
       "    var pan_bounds = {\n",
       "        x0: 0.0,\n",
       "        y0: 0.0,\n",
       "        x1: 0.0,\n",
       "        y1: 0.0\n",
       "    };\n",
       "\n",
       "    if (xgridlines) {\n",
       "        xgridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
       "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
       "                    }\n",
       "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
       "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    if (ygridlines) {\n",
       "        ygridlines\n",
       "            .selectAll(\"path\")\n",
       "            .forEach(function (element, i) {\n",
       "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
       "                    var bbox = element.node.getBBox();\n",
       "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
       "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
       "                    }\n",
       "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
       "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
       "                    }\n",
       "                    element.attr(\"visibility\", \"visible\");\n",
       "                }\n",
       "            });\n",
       "    }\n",
       "\n",
       "    // nudge these values a little\n",
       "    pan_bounds.x0 -= 5;\n",
       "    pan_bounds.x1 += 5;\n",
       "    pan_bounds.y0 -= 5;\n",
       "    pan_bounds.y1 += 5;\n",
       "    root.data(\"pan_bounds\", pan_bounds);\n",
       "\n",
       "    root.data(\"zoompan-ready\", true)\n",
       "};\n",
       "\n",
       "\n",
       "// drag actions, i.e. zooming and panning\n",
       "var pan_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        root.data(\"dx\", 0);\n",
       "        root.data(\"dy\", 0);\n",
       "        root.data(\"tx0\", root.data(\"tx\"));\n",
       "        root.data(\"ty0\", root.data(\"ty\"));\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        dx /= px_per_mm;\n",
       "        dy /= px_per_mm;\n",
       "\n",
       "        var tx0 = root.data(\"tx\"),\n",
       "            ty0 = root.data(\"ty\");\n",
       "\n",
       "        var dx0 = root.data(\"dx\"),\n",
       "            dy0 = root.data(\"dy\");\n",
       "\n",
       "        root.data(\"dx\", dx);\n",
       "        root.data(\"dy\", dy);\n",
       "\n",
       "        dx = dx - dx0;\n",
       "        dy = dy - dy0;\n",
       "\n",
       "        var tx = tx0 + dx,\n",
       "            ty = ty0 + dy;\n",
       "\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        set_plot_pan_zoom(root, root.data(\"tx0\"), root.data(\"ty0\"), root.data(\"scale\"));\n",
       "    }\n",
       "};\n",
       "\n",
       "var zoom_box;\n",
       "var zoom_action = {\n",
       "    start: function(root, x, y, event) {\n",
       "        var bounds = root.plotbounds();\n",
       "        var width = bounds.x1 - bounds.x0,\n",
       "            height = bounds.y1 - bounds.y0;\n",
       "        var ratio = width / height;\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        x = xscalable ? x / px_per_mm : bounds.x0;\n",
       "        y = yscalable ? y / px_per_mm : bounds.y0;\n",
       "        var w = xscalable ? 0 : width;\n",
       "        var h = yscalable ? 0 : height;\n",
       "        zoom_box = root.rect(x, y, w, h).attr({\n",
       "            \"fill\": \"#000\",\n",
       "            \"opacity\": 0.25\n",
       "        });\n",
       "        zoom_box.data(\"ratio\", ratio);\n",
       "    },\n",
       "    update: function(root, dx, dy, x, y, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var px_per_mm = root.data(\"px_per_mm\");\n",
       "        var bounds = root.plotbounds();\n",
       "        if (yscalable) {\n",
       "            y /= px_per_mm;\n",
       "            y = Math.max(bounds.y0, y);\n",
       "            y = Math.min(bounds.y1, y);\n",
       "        } else {\n",
       "            y = bounds.y1;\n",
       "        }\n",
       "        if (xscalable) {\n",
       "            x /= px_per_mm;\n",
       "            x = Math.max(bounds.x0, x);\n",
       "            x = Math.min(bounds.x1, x);\n",
       "        } else {\n",
       "            x = bounds.x1;\n",
       "        }\n",
       "\n",
       "        dx = x - zoom_box.attr(\"x\");\n",
       "        dy = y - zoom_box.attr(\"y\");\n",
       "        if (xscalable && yscalable) {\n",
       "            var ratio = zoom_box.data(\"ratio\");\n",
       "            var width = Math.min(Math.abs(dx), ratio * Math.abs(dy));\n",
       "            var height = Math.min(Math.abs(dy), Math.abs(dx) / ratio);\n",
       "            dx = width * dx / Math.abs(dx);\n",
       "            dy = height * dy / Math.abs(dy);\n",
       "        }\n",
       "        var xoffset = 0,\n",
       "            yoffset = 0;\n",
       "        if (dx < 0) {\n",
       "            xoffset = dx;\n",
       "            dx = -1 * dx;\n",
       "        }\n",
       "        if (dy < 0) {\n",
       "            yoffset = dy;\n",
       "            dy = -1 * dy;\n",
       "        }\n",
       "        if (isNaN(dy)) {\n",
       "            dy = 0.0;\n",
       "        }\n",
       "        if (isNaN(dx)) {\n",
       "            dx = 0.0;\n",
       "        }\n",
       "        zoom_box.transform(\"T\" + xoffset + \",\" + yoffset);\n",
       "        zoom_box.attr(\"width\", dx);\n",
       "        zoom_box.attr(\"height\", dy);\n",
       "    },\n",
       "    end: function(root, event) {\n",
       "        var xscalable = root.hasClass(\"xscalable\"),\n",
       "            yscalable = root.hasClass(\"yscalable\");\n",
       "        var zoom_bounds = zoom_box.getBBox();\n",
       "        if (zoom_bounds.width * zoom_bounds.height <= 0) {\n",
       "            return;\n",
       "        }\n",
       "        var plot_bounds = root.plotbounds();\n",
       "        var zoom_factor = 1.0;\n",
       "        if (yscalable) {\n",
       "            zoom_factor = (plot_bounds.y1 - plot_bounds.y0) / zoom_bounds.height;\n",
       "        } else {\n",
       "            zoom_factor = (plot_bounds.x1 - plot_bounds.x0) / zoom_bounds.width;\n",
       "        }\n",
       "        var tx = (root.data(\"tx\") - zoom_bounds.x) * zoom_factor + plot_bounds.x0,\n",
       "            ty = (root.data(\"ty\") - zoom_bounds.y) * zoom_factor + plot_bounds.y0;\n",
       "        set_plot_pan_zoom(root, tx, ty, root.data(\"scale\") * zoom_factor);\n",
       "        zoom_box.remove();\n",
       "    },\n",
       "    cancel: function(root) {\n",
       "        zoom_box.remove();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var scalable = root.hasClass(\"xscalable\") || root.hasClass(\"yscalable\");\n",
       "    var zoomable = !event.altKey && !event.ctrlKey && event.shiftKey && scalable;\n",
       "    var panable = !event.altKey && !event.ctrlKey && !event.shiftKey && scalable;\n",
       "    var drag_action = zoomable ? zoom_action :\n",
       "                      panable  ? pan_action :\n",
       "                                 undefined;\n",
       "    root.data(\"drag_action\", drag_action);\n",
       "    if (drag_action) {\n",
       "        var cancel_drag_action = function(event) {\n",
       "            if (event.which == 27) { // esc key\n",
       "                drag_action.cancel(root);\n",
       "                root.data(\"drag_action\", undefined);\n",
       "            }\n",
       "        };\n",
       "        window.addEventListener(\"keyup\", cancel_drag_action);\n",
       "        root.data(\"cancel_drag_action\", cancel_drag_action);\n",
       "        drag_action.start(root, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.update(root, dx, dy, x, y, event);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_drag_onend = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    window.removeEventListener(\"keyup\", root.data(\"cancel_drag_action\"));\n",
       "    root.data(\"cancel_drag_action\", undefined);\n",
       "    var drag_action = root.data(\"drag_action\");\n",
       "    if (drag_action) {\n",
       "        drag_action.end(root, event);\n",
       "    }\n",
       "    root.data(\"drag_action\", undefined);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.guide_background_scroll = function(event) {\n",
       "    if (event.shiftKey) {\n",
       "        increase_zoom_by_position(this.plotroot(), 0.001 * event.wheelDelta);\n",
       "        event.preventDefault();\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseover = function(event) {\n",
       "    this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_button_mouseout = function(event) {\n",
       "     this.select(\".button_logo\")\n",
       "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomout_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), -0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_zoomin_click = function(event) {\n",
       "    increase_zoom_by_position(this.plotroot(), 0.1, true);\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_track_click = function(event) {\n",
       "    // TODO\n",
       "};\n",
       "\n",
       "\n",
       "// Map slider position x to scale y using the function y = a*exp(b*x)+c.\n",
       "// The constants a, b, and c are solved using the constraint that the function\n",
       "// should go through the points (0; min_scale), (0.5; 1), and (1; max_scale).\n",
       "var scale_from_slider_position = function(position, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return a * Math.exp(b * position) + c;\n",
       "}\n",
       "\n",
       "// inverse of scale_from_slider_position\n",
       "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
       "    var a = (1 - 2 * min_scale + min_scale * min_scale) / (min_scale + max_scale - 2),\n",
       "        b = 2 * Math.log((max_scale - 1) / (1 - min_scale)),\n",
       "        c = (min_scale * max_scale - 1) / (min_scale + max_scale - 2);\n",
       "    return 1 / b * Math.log((scale - c) / a);\n",
       "}\n",
       "\n",
       "var increase_zoom_by_position = function(root, delta_position, animate) {\n",
       "    var scale = root.data(\"scale\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\");\n",
       "    var position = slider_position_from_scale(scale, min_scale, max_scale);\n",
       "    position += delta_position;\n",
       "    scale = scale_from_slider_position(position, min_scale, max_scale);\n",
       "    set_zoom(root, scale, animate);\n",
       "}\n",
       "\n",
       "var set_zoom = function(root, scale, animate) {\n",
       "    var min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"scale\");\n",
       "    var new_scale = Math.max(min_scale, Math.min(scale, max_scale));\n",
       "    if (animate) {\n",
       "        Snap.animate(\n",
       "            old_scale,\n",
       "            new_scale,\n",
       "            function (new_scale) {\n",
       "                update_plot_scale(root, new_scale);\n",
       "            },\n",
       "            200);\n",
       "    } else {\n",
       "        update_plot_scale(root, new_scale);\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "var update_plot_scale = function(root, new_scale) {\n",
       "    var trans = scale_centered_translation(root, new_scale);\n",
       "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
       "\n",
       "    root.selectAll(\".zoomslider_thumb\")\n",
       "        .forEach(function (element, i) {\n",
       "            var min_pos = element.data(\"min_pos\"),\n",
       "                max_pos = element.data(\"max_pos\"),\n",
       "                min_scale = root.data(\"min_scale\"),\n",
       "                max_scale = root.data(\"max_scale\");\n",
       "            var xmid = (min_pos + max_pos) / 2;\n",
       "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
       "            element.transform(new Snap.Matrix().translate(\n",
       "                Math.max(min_pos, Math.min(\n",
       "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
       "    });\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y, event) {\n",
       "    var root = this.plotroot();\n",
       "    var min_pos = this.data(\"min_pos\"),\n",
       "        max_pos = this.data(\"max_pos\"),\n",
       "        min_scale = root.data(\"min_scale\"),\n",
       "        max_scale = root.data(\"max_scale\"),\n",
       "        old_scale = root.data(\"old_scale\");\n",
       "\n",
       "    var px_per_mm = root.data(\"px_per_mm\");\n",
       "    dx /= px_per_mm;\n",
       "    dy /= px_per_mm;\n",
       "\n",
       "    var xmid = (min_pos + max_pos) / 2;\n",
       "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
       "                   dx / (max_pos - min_pos);\n",
       "\n",
       "    // compute the new scale\n",
       "    var new_scale = scale_from_slider_position(xpos, min_scale, max_scale);\n",
       "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
       "\n",
       "    update_plot_scale(root, new_scale);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragstart = function(x, y, event) {\n",
       "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
       "    var root = this.plotroot();\n",
       "\n",
       "    // keep track of what the scale was when we started dragging\n",
       "    root.data(\"old_scale\", root.data(\"scale\"));\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
       "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
       "    event.stopPropagation();\n",
       "};\n",
       "\n",
       "\n",
       "var toggle_color_class = function(root, color_class, ison) {\n",
       "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
       "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
       "    if (ison) {\n",
       "        guides.animate({opacity: 0.5}, 250);\n",
       "        geoms.animate({opacity: 0.0}, 250);\n",
       "    } else {\n",
       "        guides.animate({opacity: 1.0}, 250);\n",
       "        geoms.animate({opacity: 1.0}, 250);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "Gadfly.colorkey_swatch_click = function(event) {\n",
       "    var root = this.plotroot();\n",
       "    var color_class = this.data(\"color_class\");\n",
       "\n",
       "    if (event.shiftKey) {\n",
       "        root.selectAll(\".colorkey text\")\n",
       "            .forEach(function (element) {\n",
       "                var other_color_class = element.data(\"color_class\");\n",
       "                if (other_color_class != color_class) {\n",
       "                    toggle_color_class(root, other_color_class,\n",
       "                                       element.attr(\"opacity\") == 1.0);\n",
       "                }\n",
       "            });\n",
       "    } else {\n",
       "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
       "    }\n",
       "};\n",
       "\n",
       "\n",
       "return Gadfly;\n",
       "\n",
       "}));\n",
       "\n",
       "\n",
       "//@ sourceURL=gadfly.js\n",
       "\n",
       "(function (glob, factory) {\n",
       "    // AMD support\n",
       "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
       "        require([\"Snap.svg\", \"Gadfly\", \"Gadfly\", \"Gadfly\", \"Gadfly\"], function (Snap, Gadfly, Gadfly, Gadfly, Gadfly) {\n",
       "            factory(Snap, Gadfly, Gadfly, Gadfly, Gadfly);\n",
       "        });\n",
       "      } else {\n",
       "          factory(glob.Snap, glob.Gadfly, glob.Gadfly, glob.Gadfly, glob.Gadfly);\n",
       "      }\n",
       "})(window, function (Snap, Gadfly, Gadfly, Gadfly, Gadfly) {\n",
       "    var fig = Snap(\"#img-37b3e1ee\");\n",
       "fig.select(\"#img-37b3e1ee-5\")\n",
       "   .init_gadfly();\n",
       "fig.select(\"#img-37b3e1ee-7\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-7\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-8\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-8\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-12\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-12\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-12\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-14\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-14\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-14\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#img-37b3e1ee-15\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-15\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-15\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-15\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-15\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-16\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-16\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-16\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-24\")\n",
       "   .init_gadfly();\n",
       "fig.select(\"#img-37b3e1ee-26\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-26\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-27\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-27\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-31\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-31\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-31\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-33\")\n",
       "   .data(\"max_pos\", 67.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-33\")\n",
       "   .data(\"min_pos\", 50.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-33\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#img-37b3e1ee-34\")\n",
       "   .data(\"max_pos\", 67.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-34\")\n",
       "   .data(\"min_pos\", 50.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-34\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-34\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-34\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-35\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-35\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-35\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-43\")\n",
       "   .init_gadfly();\n",
       "fig.select(\"#img-37b3e1ee-45\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-45\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-46\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-46\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-50\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-50\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-50\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-52\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-52\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-52\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#img-37b3e1ee-53\")\n",
       "   .data(\"max_pos\", 156.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-53\")\n",
       "   .data(\"min_pos\", 139.8)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-53\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-53\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-53\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-54\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-54\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-54\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-62\")\n",
       "   .init_gadfly();\n",
       "fig.select(\"#img-37b3e1ee-64\")\n",
       "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-64\")\n",
       "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-65\")\n",
       "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-65\")\n",
       "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-71\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-71\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-71\")\n",
       "   .click(Gadfly.zoomslider_zoomin_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-73\")\n",
       "   .data(\"max_pos\", 67.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-73\")\n",
       "   .data(\"min_pos\", 50.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-73\")\n",
       "   .click(Gadfly.zoomslider_track_click);\n",
       "fig.select(\"#img-37b3e1ee-74\")\n",
       "   .data(\"max_pos\", 67.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-74\")\n",
       "   .data(\"min_pos\", 50.9)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-74\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-74\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-74\")\n",
       "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
       "     Gadfly.zoomslider_thumb_dragstart,\n",
       "     Gadfly.zoomslider_thumb_dragend)\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-75\")\n",
       "   .data(\"mouseover_color\", \"#CD5C5C\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-75\")\n",
       "   .data(\"mouseout_color\", \"#6A6A6A\")\n",
       ";\n",
       "fig.select(\"#img-37b3e1ee-75\")\n",
       "   .click(Gadfly.zoomslider_zoomout_click)\n",
       ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
       ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
       ";\n",
       "    });\n",
       "]]> </script>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "Compose.Context(Measures.BoundingBox{Tuple{Measures.Length{:cx,Int64},Measures.Length{:cy,Int64}},Tuple{Measures.Length{:w,Float64},Measures.Length{:h,Float64}}}((0cx,0cy),(1.0w,1.0h)),Nullable{Compose.UnitBox{S,T,U,V}}(),Nullable{Compose.Rotation{P<:NTuple{N,Measures.Measure}}}(),Nullable{Compose.Mirror}(),Compose.ListNode{Compose.Container}(Compose.Context(Measures.BoundingBox{Tuple{Measures.Length{:w,Float64},Measures.Length{:h,Float64}},Tuple{Measures.Length{:w,Float64},Measures.Length{:h,Float64}}}((0.0w,0.5h),(1.0w,0.5h)),Nullable{Compose.UnitBox{S,T,U,V}}(),Nullable{Compose.Rotation{P<:NTuple{N,Measures.Measure}}}(),Nullable{Compose.Mirror}(),Compose.ListNode{Compose.Container}(Compose.Context(Measures.BoundingBox{Tuple{Measures.Length{:w,Float64},Measures.Length{:h,Float64}},Tuple{Measures.Leng