{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0b67e295-9a25-47f3-b822-bca74cc5da44",
   "metadata": {},
   "source": [
    "# Wikipedia\n",
    "\n",
    "From: https://en.wikipedia.org/wiki/Beta_decay"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2abdcd1-d085-44d5-a0cc-479b88c454af",
   "metadata": {},
   "source": [
    "## electron capture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "23e42c23-b017-4d9e-989f-acd128b3a81d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from feynml import *\n",
    "from feynml.topology import four as t2t\n",
    "from pyfeyn2.auto import auto_default\n",
    "from pyfeyn2.render.latex.tikzfeynman import TikzFeynmanRender\n",
    "from pyfeyn2.render.all import AllRender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "474f028e-1e03-4420-b41d-183bcf770eef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tikz:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: 66f2851 'PDF' (399x397)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyx:\n",
      "pyx failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/pyx/pyxrender.py\", line 50, in render\n",
      "    nl = NamedLine[lname](lp, Point(tar.x, tar.y))\n",
      "         ~~~~~~~~~^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "feynmp:\n",
      "feynmp failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 210, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 214, in set_feynman_diagram\n",
      "    self.set_src_diag(NoEscape(feynman_to_feynmp(fd)))\n",
      "                               ^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 152, in feynman_to_feynmp\n",
      "    src = do_legs(src, incoming, True)\n",
      "          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 135, in do_legs\n",
      "    tttype = type_map[lstyle.getProperty(\"line\").value]\n",
      "             ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "feynman:\n"
     ]
    },
    {
     "data": {
      "image/png": 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v36fevXtL3v70+vVrGjp0KFWsWJG2bNmS6guesbExMTP17Nkz1cmNAPqqXr16FBYWRkOGDCEi+te/1FNGHm/ZsgXBAP4VrBxAugkNDSV3d3fas2eP1pqqVauSv78/tWvXThQmLC0t6evXr6RQKMjY2Jj27dtHrVq1yuCuATKn48ePU79+/SgqKkrrw9KkGBkZUfv27WnHjh1kYmKSgR2CPkOkhHRTpUoVCg4OpkuXLlGLFi0ka+7evUvt27en+vXr06lTpwT7Uu6zZmZSq9X0xx9/iGoADEWLFi1o5cqVZGVlleZ/Y2RkRI6OjhQUFIRgAP8JwgGkuzp16tCxY8foxIkTVKdOHcmaS5cuUbNmzcjBwUEzsvnH5U+1Wk0qlYratGlD58+f10nfAJnF1atXydHRkdq1a0fv379P078xNjamxo0bU3BwMGYXwH+G0wqQoZiZ9u3bR66urhQaGqq1rkOHDnTmzBn69OmTYLuRkRGZmZlRSEgI2dvbZ3S7ALK6d+8eubu7U3Bw8C/9O2NjY6pduzYdO3aMzM3NM6g7MCQIB6ATarVaM5L5yZMnv/RvjY2NydzcnM6ePYtHx4Jeevr0KXl5edHmzZu1zi8wNjaWvPbA2NiYbG1t6dSpU5hhAOkGpxVAJ4yMjKhnz54UHh5OK1asoKJFi6b53yYnJ1NsbCw1bdqUwsPDM7BLAN168+YNjRgxgsqXL0+bNm2SDAZFihSh5cuXS157YGJiQhUqVKBjx44hGEC6wsoByCI+Pp6WLVtGAQEBWkcy/5OxsTFZWVnRhQsXqGzZshncIUDG+fjxI82cOZMCAwO1DhLLly8fTZs2jUaMGEFmZmaUL18+wWk3ExMTKlOmDJ07d44KFCigq9bBQCAcgKyOHTtGXbt2pc+fP6ep3sTEhKytrenChQtUsmTJjG0OIJ3FxMRoRpB//fpVsiZ37tw0YcIEGjdunGA1IG/evJqfExMTEypWrBhduHCBChcurIvWwcAgHIAsEhISyN3dnebOnUtGRka/dB+3iYkJFSlShC5cuPBLpycA5JKyUjZ9+nT68OGDZE2OHDlo1KhRNGXKFMqfP79ov4WFBcXExJCJiQkVLFiQLly4QCVKlMjo1sFAIRyAzl29epV69epFT548+dcjYo2MjKh06dJ04cIFzIyHTEupVNK6devIx8eHXr9+LVljYmJCgwYNIjc3t1TDrrm5OcXFxZG1tTVdvHiRypQpk1FtAyAcgG6tX7+eBg4cSMz8S0+V06ZIkSJ08+ZNBATIVNJyd45CoaBevXqRl5cX/fbbbz/9mBYWFmRqakrnz5+nChUqpHfLAAK4WwF0Llu2bJpgYGRk9J8mub1584ZKlixJW7ZsSZewAfBfpMz1qF69umZ1TMoff/xBt2/fpk2bNqUpGBARPXnyhK5cuYJgADqBlQPQObVaTS9fvqTw8HDNc+vv3LlD4eHhFBMTQ0Tf/6oyMTH5pUfW2tnZ0cyZM6l58+YZ1TqAVqdOnSIXFxe6dOmS1prmzZuTv7+/1smhAJkFwgFkGsxM79690wSGsLAwCg0NpdDQUMHtjgqFItVVgmbNmpG/vz/VrVtXF22Dgbty5Qq5urrS8ePHtdbUqVOH/P39EVwhy0A4gCwhOjqa7t+/T2FhYRQWFkYhISF0584dUqlUWv9N+/btyc/Pj6pWrarDTsFQpOUppFWqVCF/f3/6/fffJR9pDpBZIRxAlqVWq2nDhg3k4eFBr169kqxJea69t7c3BidBunjy5Al5eXnRX3/9pXUF67fffiMfHx/q1q2b5mmjAFkJwgFkeUqlktavX0/e3t5abxczNjamgQMHkru7OxUrVkzHHYI+eP36Nfn5+dHq1au1rlgVLVqUPDw8aMCAAWRqaqrjDgHSD8IB6I2EhATNSGZtg2ayZ89OI0eOpKlTp2LkLKTJhw8faObMmbR48eJURx27uLjQ8OHDyczMTMcdAqQ/hAPQOzExMbRgwQKaM2eO1hG1uXLlovHjx9P48ePJ0tJSxx1CVvD161fNqOOUu2j+KXfu3DRx4kQaO3YsHnwEegXhAGTl5uZG/v7+qdb822/Rjx8/0qxZsygwMJDi4+Mla6ysrGjq1Kk0cuRIypkz57/6PKBf4uPjaenSpTR9+nStDwVLGXU8depUypcvn447BNABBsgAKpWKV69ezQ0bNmQLCwvOnj0729vbc3BwsKAuOjqanz17lurbf/X69WseMWIEm5iYMBFJvhUuXJiXLl3KiYmJ//nzQdaUlJTEy5cv5yJFimj9PjExMeFhw4bxq1ev5G43TS5dusRExE5OToLt79+/55w5c3KrVq1k6gwyO4QDSHfx8fHs4ODARMQ1a9bkMWPG8NChQ9nKyoqJiIOCgmTp68mTJ9y3b19WKBRaX/xLly7NGzduZJVKJUuPoHsqlYo3b97Mv/32m9bvC4VCwb179+bHjx/L3e4vefXqFRMR165dW7Sve/fubGxszF++fJGhM8jsEA4g3XXv3p2JiJcsWSLY/uLFC86TJw/b2NjI1Nl3oaGh7OTkpPUXARFxpUqVePfu3axWq2XtFTKOWq3mPXv2cJUqVVL9XujQoQPfvXtX7nb/leTkZDY2NuYiRYqI9vn6+jIR8fnz52XoDDI7PFsB0tWJEydo27ZtNGLECBoxYoRgX/HixcnR0ZEePnyo9QIvXahcuTLt2rWLrly5Qo6OjpI1YWFh5OTkRHXq1KFjx47huQ165uTJk1SvXj3q0KEDhYaGSta0aNGCLl++TMHBwVSlShUdd5g+jIyMqFChQhQVFaX1sejarscBw/bvn3gDIGHx4sVERKRSqcjLy0u0/9GjR0T07y8yTE+1atWiI0eOUEhICLm6utKFCxdENVevXiVHR0dq2rQpBQQEUL169WToFNLL5cuXydXVlU6cOKG1pm7duuTv70/NmjXTYWcZp1ixYvT69WuKjIwUzPgICQkhhUKRZYMPZDC5ly5Av+TKlSvVJVoi4ty5c8vdpohareb9+/ezra1tqr23a9eOb9++LXe78Ivu3LnDf/zxR6r/batWrcp79+7Vu1NJnTp1YiLiixcvarZdunSJFQoFLkgErXBaAdLN58+f6du3b/THH38Qf7+eRfJN2+wBOSkUCmrbti3duHGDtm3bRuXKlZOs279/P9na2lLPnj01qyCQeT158oR69+5Ntra29Pfff0vWlC1blrZs2UK3bt3Sy2cgFC1alIhIM2I8JiaGBgwYQNmyZaPZs2dr6p4+fUpOTk5kYWFB1tbWNHr0aEpKSpKlZ5AfwgGkG/6/UwXaphNmBUZGRtStWzcKCwujVatWaR21vHXrVqpYsSINGTKEXr58qeMu4Wdev35Nw4YNowoVKmh9BkLRokVp5cqVFBYWRj169CAjI/18OUz5Hn79+jWp1Wrq2bMn3b9/n1atWqU5pRAeHk61a9emOnXq0PXr12n37t106NAhWrBggYydg6xkW7MAvVSuXDk2NjbmEydOiPYlJCQIljazgvj4eJ4/fz4XKFBA63J09uzZedy4cfzu3Tu52zV479+/5wkTJnCOHDm0/vfKly8fz507l+Pi4uRuVye2bNnCRMTjx4/nvn37MhFxYGCgoKZRo0Y8a9YswbYZM2Zw69atddkqZCKYkAjpas+ePdSpUyciImrbti1VrFiRYmNj6dWrV3TmzBlycnKi1atXy9zlr4uJiaGFCxfS7NmzUx3JPG7cOJowYQJGMuvY169fad68eTRv3jyMOv6HM2fOUJMmTSh79uyUlJREixYtolGjRmn2P3r0iGxsbMjMzEyweqJUKqlly5a0d+9eOdoGucmdTkD/nD59mtu2bctWVlZsYmLCBQsWZHt7e54yZQrfv39f7vb+k48fP/KUKVPYzMxM61+mefPm5ZkzZ3JsbKzc7eq9uLg4nj17NufLl0/rf48cOXLwpEmT+MOHD3K3K4snT54wEbGpqSlv2LBBtH/nzp1ctGhRfvTokegtKipKho4hM8DKAcC/EBkZSf7+/rRy5UpSKpWSNYUKFSJ3d3caNGgQZcuWTccd6jelUklr1qwhX19fevPmjWSNiYkJDR48mNzc3KhIkSI67jDr2Lt3L/Xo0YOio6PxfQoaCAcA/8GzZ8/I29ubNm3aRGq1WrKmVKlS5O3tTb169SJjY2Mdd6hfkpOTaevWreTp6UlPnz6VrFEoFNS7d2/y8vKiMmXK6LjDrOf9+/dkY2ND7dq1oylTplC2bNno/v37dOPGDclZJWAY9PPyXAAdKV26NK1fv57u3r2rudbinyIiIqhfv35UrVo12r17d6YYAJXVMDPt2bOHbG1tqU+fPlqDQceOHenu3bu0ceNGBIM0KlCgAO3fv58iIiKoXr16VLt2bZo+fTrZ2NjI3RrICCsHAOno2rVr5ObmRkeOHNFaY29vT/7+/uTg4KB399RnhOPHj5OrqytduXJFa42DgwP5+/tTrVq1dNgZgP5COADIAKdPnyZXV1c6f/681pomTZpQQEAA1a9fX4edZR2XLl0iV1dXOnnypNaaunXrUkBAAP3vf//TYWcA+g/hACCDMDMdOnSIXF1d6datW1rr2rZtS35+flS9enWd9ZaZ3b17l9zc3FK9ha5atWrk7+9Pbdu2xeoLQAbANQcAGUShUFCbNm3o+vXrFBQUpPUc7oEDB6hGjRrUvXt3evjwoY67zDweP35MvXr1IltbW63BIGXU8c2bN6ldu3YIBgAZBCsHADqiUqlo48aN5OXlpXXksrGxMQ0YMIA8PDyoePHiOu5QHq9evSJfX19as2aN1scKFy1alDw9Pal///5kamqq4w4BDA/CAYCOJSYm0ooVK8jf35/evXsnWZMtWzYaMWIETZs2jaytrXXcoW68f/+eZsyYQUuWLKHExETJmvz585OLiwsNHz6ccuTIoeMOAQwXwgGATL59+0aLFi2iWbNm0ZcvXyRrzM3NNSOZ8+TJo9sGM8iXL180o46/ffsmWWNhYaEZdZw7d24ddwgACAcAMouOjqbZs2fTwoULKS4uTrImb968NGXKFBo1ahSZm5vruMP0ERcXR0uWLKEZM2bQp0+fJGvMzMxo9OjRNHnyZMqXL5+OOwSAFAgHAJnE27dvyd/fn1asWJHqSGY3NzcaPHhwlhl1m5SUpBl1HBkZKVljYmJCQ4YMIVdXV4w6BsgEEA4AMpmIiAjy9vamjRs3pjqS2cvLi3r37p1pRzInJyfTli1byNPTk549eyZZo1AoqE+fPuTp6YmJhgCZCMIBQCYVHh5OHh4etHPnTq01FStWJF9fX3Jycso0t/WljDp2c3OjsLAwrXVOTk7k4+NDlStX1mF3AJAWCAcAmdz169fJzc2NDh8+rLXGzs6O/P39ydHRUbaQwMyaUcdXr17VWufo6Eh+fn4YdQyQiSEcAGQRZ86cIVdXVzp37pzWmsaNG5O/vz81bNhQh50RXbx4kVxcXCgkJERrTb169SggIICaNm2qs74A4N9BOADIQpiZDh8+TK6urnTz5k2tdW3atCE/Pz+qUaNGhvZz584dcnNzo3379mmtsbW1JX9/f2rTpk2mOfUBAKlDOADIgtRqNe3atYvc3d3pwYMHWuu6du1KPj4+VL58+XT9/I8ePSJPT0/atm2b1kdQlytXjnx9falLly5kZIRJ7QBZCcIBQBamUqlo06ZN5OXlRS9evJCsMTIyov79+5OHhweVLFnyP32+ly9fkq+vL61du1brqONixYppRh2bmJj8p88HAPJAOADQA4mJibRy5Ury8/NLdSTzsGHDyMXFhQoWLPhLH//9+/c0ffp0Wrp0aaqjjl1dXWnYsGEYdQyQxSEcAOiR2NhYzUjmz58/S9bkzJmTxo4dSxMnTqS8efOm+vG+fPlCc+fOpfnz56c66njSpEk0ZswYjDoG0BMIBwB6KDo6mubMmUMLFizQOpI5T548NHnyZHJ2dhaNZI6Li6PFixfTjBkzKDo6WvLfm5mZkbOzM02ePJmsrKzS/RgAQD4IBwB6LCoqigICAmj58uWUlJQkWVOwYEFydXWlIUOGkEKhoNWrV5Ovry+9fftWst7U1FQz6rhw4cIZ2T4AyAThAMAAPH/+nHx8fGj9+vVaRzLny5ePFAoFffjwQXK/kZGRZtRx6dKlM7JdAJAZwgGAAbl//z55enrS9u3bf+nfderUiXx8fKhSpUoZ1BkAZCYIBwAG6ObNm+Tm5kYHDx7UbDMyMhKtKlSpUoVWrVpFdevW1XWLACAjTCYBMEA1atSgAwcO0NmzZ6lRo0ZERJr//VFoaCj169ePtm3bpvV0BADoH4QDAAPWsGFDOn36NB0+fFjrbY0PHz6kHj16UMOGDen69es67hAA5IDTCgBARN+f23D06FHy8vKiS5cuSdYoFAoaNWoUzZw5k8zMzHTcIQDoCsIBAAgwMx06dIjc3d3pxo0bkjWVK1emoKAgqly5so67AwBdQDgAAEnMTHv27KFJkybRkydPRPstLCxo//79ktcqAEDWhnAAAKlKTEyk+fPnk4+PD8XHxwv25cqVi65evUoVKlSQqTsAyAgIBwCQJuHh4dSjRw+6ffu2YLu9vT1duXKFFAqFTJ0BQHrD3QoAkCYVK1akS5cu0e+//y7Yfu3aNTp16pRMXQFARkA4AIA0y5EjB23btk00Pvn06dMydQQAGQHhAAB+Sc6cOcnGxkawLSYmRqZuACAjIBwAwC85evQoHTt2TLCtfPnyMnUDABkBFyQCQJpt3bqVBgwYQImJiZptZmZmFBERQdbW1jJ2BgDpCSsHAPBTnz9/pr59+1LPnj0FwYCIyM3NDcEAQM9g5QAAtEpOTqa1a9eSi4sLffjwQbS/S5cutG3bNjIywt8ZAPoEP9EAIKJWq2nXrl1Uo0YNGjJkiGQwGDx4MG3ZsgXBAEAPmcjdAABkHmq1moKDg8nb25vu3r0rWWNhYUHLli2jnj176rg7ANAVRH4AILVaTTt37iRbW1vq3Lmz1mDQoUMHunPnDoIBgJ7DygGAAUs5feDj40OhoaFa6ypXrkwLFiygFi1a6LA7AJALVg4ADFDKExerV69OXbt21RoMKlWqREFBQXTnzh0EAwADgpUDAAPCzHT48GFyd3en69eva62rXLkyeXp6UqdOnXDBIYABQjgAMBAPHjygMWPG0JEjR7TWVKlShTw8PBAKAAwcfvoB9JxSqSQPDw+qWrWq1mBQuXJl2rFjB92+fZu6dOmCYABg4LByAKDHnj17Rj169KDLly9L7rexsSEvLy/q2rUrGRsb67g7AMisEA4A9NTNmzepZcuW9P79e9G+woULk7+/P/Xp04dMTPAyAABCGJ8MoIeeP39OdnZ29PHjR8F2ExMTmjBhArm6ulLu3Lll6g4AMjv8yQCgZ5iZ+vfvLwoGZcuWpa1bt5K9vb1MnQFAVoGVAwA9c/nyZapbt65gW9OmTenvv/8mCwsLmboCgKwElyQD6JmTJ08K3i9SpAjt2bMHwQAA0gzhAEDPREdHC96vXLkyWVpaytQNAGRFCAcAeqZcuXKC90+ePEmnTp2SqRsAyIpwzQGAnnn37h2VKlWK4uPjNdvMzMzor7/+oo4dO8rYGQBkFVg5ANAz1tbWNG3aNMG2+Ph4cnJyoiFDhtC3b99k6gwAsgqsHADoIbVaTZ07d6bg4GDRvsKFC9PMmTOpV69eGJMMAJLwygCgh4yMjCgoKIj69u0r2hcZGUl9+/alunXr0uHDhwl/HwDAPyEcAOgpU1NTWr9+Pa1Zs4bMzc1F+69evUqtW7em+vXr05EjRxASAEADpxUADMDjx49p1KhRqT6uuV69euTl5UUODg6kUCh02B0AZDZYOQAwAGXLlqVDhw7Rvn37qGzZspI1Fy9epJYtW1LDhg3p2LFjWEkAMGAIBwAGQqFQULt27SgsLIzWrFlDpUuXlqy7cOECOTo6IiQAGDCcVgAwUEqlkjZu3Eh+fn4UERGhta5evXo0Y8YMaty4se6aAwBZIRwAGLi0hgQnJyeaOXOm1tMSAKA/EA4AgIjSFhKyZ89Ovr6+NH78eDI2NtZtgwCgMwgHACCQlpBQv359CgoKomLFium2OQDQCYQDAJCkVCpp5cqV5OnpSR8/fhTtL1y4MB0+fJiqVasmQ3cAkJEQDgAgVZ8/fyYvLy9atGiR6M6FggUL0qVLl6hUqVLyNAcAGQLhAADS5Ny5c9SvXz96+vSpYHuLFi3o6NGjGJwEoEcQDgAgzT59+kTt27en8+fPC7ZfvHiR6tatK1NXAJDeMAQJANLMysqK9u/fT0WLFhVsP3bsmEwdAUBGQDgAgF+SJ08eqlGjhmBbdHS0TN0AQEZAOACAX3L16lXRA5xwQSKAfkE4AIA0O3nyJLVs2ZKUSqVmm7GxMTk5OcnYFQCkN4QDAPip+Ph4mjJlCjk4OIhOIUycOBHDkAD0DO5WAACt1Go17dmzh6ZOnUqPHj0S7XdwcKD9+/dTtmzZZOgOADIKVg4AQISZae/evWRnZ0edOnWSDAbt27enPXv2IBgA6CGEAwDQYGY6ePAg1a5dm/744w+6deuWqMbU1JT8/f0pODiYcubMqfsmASDDmcjdAADIj5np2LFj5OHhQZcvX9ZaV7duXVqzZg1VqlRJh90BgK5h5QDAwJ06dYoaN25MLVu21BoMKlSoQNu2baPz588jGAAYAKwcABio8+fPk5ubG4WEhGitKVeuHHl6elL37t3J2NhYd80BgKwQDgAMzN27d8nFxYX279+vtaZMmTLk4eFBvXr1IhMTvEwAGBr81AMYiMjISJoyZQpt3rxZ9OjlFCVLliR3d3fq27cvmZqa6rhDAMgsEA4A9JxaraZVq1bRlClT6MuXL5I1xYoVIzc3NxowYABuTQQAhAMAffbhwwfq1asXHT16VHJ/gQIFyM3NjYYOHUrZs2fXcXcAkFkhHADoqSdPnlCLFi0oIiJCtC937tw0ceJEGjduHOXOnVv3zQFApobxyQB66N27d2Rvb08vX74U7evTpw/NmTOHrK2tZegMALICrBwA6KFBgwaJgkHhwoVpw4YN5ODgIFNXAJBVYOUAQM/cuXOHbG1tBduqV69Ohw4dokKFCsnUFQBkJVg5ANAzhw8fFryfP39+OnLkCE4jAECaYXwygJ55//694P3atWsjGADAL0E4ANAzpUuXFrx/4sQJunnzpkzdAEBWhHAAoGfatWsnGHmcmJhIDg4OdO7cORm7AoCsBOEAQM+UKFGCRo8eLdj28eNHatq0KXl6epJSqZSpMwDIKnC3AoAeSkpKIkdHRzp9+rRoX5UqVWj+/PnUokULGToDgKwAKwcAeihbtmy0f/9+atWqlWhfaGgoOTg4UPv27en27dsydAcAmR3CAYCeypUrF+3bt498fX0lH7u8b98+ql69OnXq1AkhAQAEcFoBwABcu3aNBg0alGoIcHJyIg8PD9EAJQAwPFg5ADAA9vb2dP36dVqxYgUVKFBAsmb37t2alYQ7d+7ouEMAyEywcgBgYL5+/UqLFi2iefPmUXR0tNa6Tp06kYeHB1WrVk2H3QFAZoBwAGCgvnz5QoGBgWkKCT4+PlSpUiUddgcAckI4ADBwaQkJxsbGNGzYMPLy8qL8+fPruEMA0DVccwBg4CwtLcnNzY2ePXtGvr6+lCdPHlFNcnIyLVmyhMqVK0ebNm2irPo3RdOmTWn9+vVytwGQ6SEcAAAR/f+QEBERQT4+PpIh4fPnz9S3b1/q3Lkzffr0SfdNAoBOIBwAgIClpSW5u7tTREQEubq6Uo4cOUQ1u3fvpvr169OzZ8/S9XNHRkaSQqGgxo0bS+6fNWsWKRQKrXdc7NixgxQKBQ0dOjRd+wIwNAgHACDJ0tKS/Pz86MGDB9S1a1fR/gcPHpCDg4PoEdH/Rd68eYno+3UQ/6RSqSgwMFDrfiKiefPmkUKhoHHjxqVbTwCGCOEAAFJVokQJCgoKop07d4ouRnzy5AkNGzYs3T5Xjhw5KHv27JK//IOCgujVq1dUvHhxUiqVFB8fL9h/6dIlunTpErVt25YqVKhAREQBAQGUK1cuzdvZs2dp2LBhgm0AIIa7FQAgzV69ekWtW7em0NBQwfabN29S9erV0+VzFCxYkJKSkkR3TtjZ2dGbN29o+PDh5OnpSZGRkVSoUCHN/i5dutDOnTvp1KlT1LRpUyIi+vTpk+DaiF69elGnTp3IyclJs61s2bLp0jeAPhEPXAcA0KJYsWJ09OhRqlq1Kn38+FGz/ciRI+kWDvLkyUOPHz8WbDt16hTduHGD/P39BaceUsJBREQEBQcHU82aNTXBgIjIysqKrKysNO+bmZmRtbU1AgHAT+C0AgD8ksKFC1ODBg0E26KiotLt4+fJk4fUajV9+/ZNs23u3Llkbm5Ow4cPJwsLCyISXnewcOFCSk5OpgkTJqRbHwCGDOEAAH7JgwcP6MSJE4JtRYsWTbePn3ILZcov//v379PBgwdp4MCBlDdvXrK0tBTs//r1K61Zs4aKFy8ueeEkAPw6nFYAgDS7desWtWvXjmJjYzXbFAoFdezYMd0+x4/hoGjRojRv3jwyMjLS3IHwz5WDVatWUUxMDHl6eko+mvpHISEh6dYngD7DygEA/FRycjItXLiQ6tWrR69fvxbsGzJkCJUpUybdPteP4eD9+/e0adMm6ty5M5UqVYqISLNy8PnzZ0pOTqbAwEDKnTs3DR48ON16ADB0WDkAgFRdvnyZnJ2d6cqVK6J9dnZ2NHfu3HT9fD+GgyVLllBCQgJNnDhRs//HlYNdu3bR8+fPafz48ZrtAPDfIRwAgKRr166Rp6cnHTx4UHJ//fr1af/+/WRubp6unzclHLx7946WLVtGTZs2JXt7e83+H8PBzp07ycTEhJydndO1BwBDh9MKACBw8+ZNat++PdWqVUtrMHB2dqZTp05pbitMTynhYPHixfTu3TvBqgHR/z+tcPjwYbp06RJ17tyZSpYsme59ABgyrBwAABER3blzh7y8vCg4OFhrTfny5WnVqlXUqFGjDOsjJRxcvXqVKlWqRG3atBHsNzExITMzM7p69SoREW5fBMgAWDkAMHD37t2jrl27kq2trdZgUKBAAZo9ezbdunUrQ4MBEQlWIyZMmEAKhUJUk7J60LhxY8EpBwBIHxifDGCgHjx4QF5eXhQUFETaXgby5ctHkydPppEjR6b7tQUAkHnhtAKAgXn9+jV5eXnR2rVrSa1WS9bkzZuXJk2aRKNGjaLcuXPruEMAkBvCAYCB+Pr1KwUEBNDChQspISFBssbS0pImTJhAY8aMwa2BAAYM4QDAAOzdu5dGjBghGmCUwsLCgsaNG0djx47VXBAIAIYL4QBAj8XGxtKwYcNo8+bNkvtz5sxJY8eOpQkTJgieXggAhg3hAEBPRUVFkaOjI925c0e0z9jYmAYPHkweHh5UuHBhGboDgMwMdysA6KHPnz9TgwYNKCwsTLTP0dGRAgMDycbGRobOACArwMoBgB4aM2aMKBhYWFhQYGAg9enTR3J2AABACqwcAOiZhw8fUvny5QXbypQpQ4cPH6Zy5crJ1BUAZCVYOQDQM/v27RO8b2FhQSdOnNA88hgA4GcwPhlAz7x9+1bwfqNGjRAMAOCXIBwA6JmiRYsK3j99+jQ9fvxYpm4AICtCOADQM23atBFccPjt2zdq0aKF5J0LAABSEA4A9IyNjQ0NGDBAsO358+dUq1YtWrZsmdaHLAEApMDdCgB6KCYmhho3bky3bt0S7fvf//5HCxYsoGrVqum+MQDIErByAKCHcufOTUeOHKHatWuL9p06dYpq1KhBQ4cO1fqsBQAwbAgHAHrK2tqaTp06RcOGDRPtU6vVtHLlSipTpgyNGjWKXr16JUOHAJBZ4bQCgAE4cuQIDRo0SGsIyJYtGw0aNIimTp1KxYsX13F3AJDZIBwAGIjY2FiaM2cOzZo1i+Li4iRrUkLCtGnTqFixYjruEAAyC4QDAAPz6tUrCggIoNWrV5NSqZSsyZYtGw0ePJimTZsmmpsAAPoP4QDAQL18+ZJmzJhBq1evpqSkJMma7Nmz05AhQ2jatGl4tDOAAUE4ADBwaQkJ5ubmNG3aNBo/fjyZmZnpuEMA0DWEAwAgou+nG6ZPn55qSChZsiStXLmSHB0dddwdAOgSwgEACLx8+VITErRdkzBq1CiaNWsWVhEA9BTCAQBIevHiBfn4+NDatWslRy7XqVOH9u3bRwUKFJChOwDISAgHAJCqW7du0ZgxY+jMmTOifdWrV6ezZ89Srly5ZOgMADIKJiQCQKqqV69OISEhtHjxYtFphFu3bpGzs7NMnQFARsHKAQCk2b1796hNmzb04sULzTaFQkHh4eFUvnx5GTsDgPSElQMASLPKlSvTiRMnBKcRmJkOHDggY1cAkN4QDgDgl5QtW5aaNWsm2IYHNwHoF4QDAPglr169orNnzwq2FSpUSKZuACAjIBwAQJo9ffqUmjdvTtHR0YLt7dq1k6kjAMgICAcAkCbbt2+nGjVq0MOHDwXbu3btSpUqVZKpKwDICLhbAQBS9eTJExo7dizt379ftK9s2bJ05coVyps3rwydAUBGwcoBAEiKioqi8ePHU+XKlSWDQcWKFSkkJATBAEAPIRwAgMC7d+9o4sSJVLp0aZo/fz4lJiaKavr06UNXrlyhokWLytAhAGQ0E7kbAIDM4f379zRr1ixaunQpxcXFSdYULFiQ5s2bRz179tRxdwCgSwgHAAbuw4cPNHv2bFq8eLHWUGBiYkKjR48mT09PsrS01HGHAKBrCAcABurjx480Z84cCgwMpNjYWMkaY2Nj6t+/P7m6ulLp0qV13CEAyAXhAMDAfPr0iebNm0cLFy6kb9++SdYYGxtT3759yc3NjcqUKaPjDgFAbggHAAZCqVTSsmXLyMvLSzTEKIWRkRH16dOH3NzcqGzZsjruEAAyC4QDAANw/vx5Gjx4MIWHh0vuNzIyol69epG7uzuVK1dOx90BQGaDWxkB9JhSqSQ3Nzdq3LixZDBICQVhYWG0ceNGBAMAICKsHADorS9fvpCTkxOdPHlScn/Xrl3J29ubKlSooOPOACCzw/hkAD2UkJBAzZo1o4sXL4r22dnZ0YIFC6hhw4YydAYAWQFOKwDooUmTJomCgampKU2fPp0uX76MYAAAqcLKAYCeefbsGZUrV46Sk5M12woWLEj79u2jWrVqydgZAGQVuOYAQM/s379fEAzMzMzo+PHjVKVKFRm7AoCsBKcVAPRMRESE4P3mzZsjGADAL0E4ANAzBQsWFLx/8eJFioyMlKkbAMiKEA4A9Ezr1q0F73/8+JEcHR3p1atXMnUEAFkNwgGAnqlatSp17NhRsC00NJRsbW1p3759MnUFAFkJ7lYA0EMfPnygWrVqia4/ICLq1q0bzZkzh4oVK6b7xgAgS8DKAYAeyp8/P4WEhEg+PCkoKIjKly9PHh4eWh/ABACGDSsHAHosOjqaBg8eTLt27ZLcb2lpSWPHjqWxY8dSnjx5dNscAGRaCAcAeo6Zac2aNTR58mStKwWWlpY0btw4Gjt2LFlaWuq4QwDIbBAOAAzEhw8fyM3NjVauXEnafuzz5MlD48ePJ2dnZ4QEAAOGcABgYO7du0e+vr60fft2rSEhb968NGHCBHJ2dqbcuXPruEMAkBvCAYCBCg0N1YQEbfLly0cTJ06kUaNGUa5cuXTYHQDICeEAwMCFhoaSt7c37dy5U2uNtbU1BQQE0IABA8jICDc5Aeg7hAMAICKiO3fukI+Pj9Y7G4iI7OzsaMWKFWRnZ6fDzgBA1/AnAAAQEVG1atVo586ddPPmTerQoYNkzfXr16lu3bo0Y8YMwZMfAUC/YOUAACTduHGDPDw86MCBA5L727RpQ9u3bydzc3MddwYAGQ3hAABSdeTIERo3bhyFh4eL9jVp0oSOHj1K2bJlk6EzAMgoOK0AAKlq2bIl3b59m9zc3EQXI54+fZqmTZsmU2cAkFGwcgAAaXbmzBnq2LEjffr0SbPNxMSEnjx5QiVKlJCxMwBIT1g5AIA0a9y4MR0/fpyyZ8+u2aZSqWjv3r0ydgUA6Q3hAAB+SY0aNahZs2aCbU+fPpWpGwDICAgHAPBLPn78SDdu3BBsK1CggEzdAEBGQDgAgDR7//49tW7dmqKiogTbHR0dZeoIADICwgEApMnJkyfJ1taWrl69KtjesmVLTEwE0DMIBwCQqvfv39OQIUOoRYsWFBkZKdhXuHBhWrdunUydAUBGMZG7AQDInGJjY2nZsmXk5+dHX758Ee0vVqwYHT9+nAoXLixDdwCQkRAOAEAgLi6Oli1bRrNmzaJ3795J1jg6OtKGDRuoUKFCOu4OAHQB4QAAiOh7KFi+fDnNnDlTaygwNzcnX19fGjNmDB7dDKDHEA4ADFx8fLwmFPzzLoQf9ejRg2bPnk1FixbVYXcAIAeEAwADlZCQQCtXrqTp06fT27dvtda1bt2aPD09qU6dOjrsDgDkhHAAYGASExNp9erVFBAQQG/evNFa16pVK/L09KS6devqsDsAyAwQDgAMBDPTjh07aNKkSfTixQutdS1btiQvLy+EAgADhnAAYADCwsJo+PDhdObMGa01Dg4O5O3tTfXq1dNhZwCQGeFyYwA9xsy0ZMkSsrOz0xoMmjdvTufOnaOjR48iGAAAEWHlAEBvJSYmUp8+fWjHjh2S+xs1akS+vr7UpEkTHXcGAJmdgplZ7iYAIH2pVCpq3749HTp0SLSvZMmSNHfuXHJyciKFQiFDdwCQ2eG0AoAe8vLykgwGY8aMofDwcOrUqROCAQBohZUDAD0TGRlJpUqVoqSkJM223Llz07Zt26hNmzYydgYAWQWuOQDQM3///bcgGJiamtKhQ4eoQYMGMnYFAFkJTisA6JnHjx8L3m/WrBmCAQD8EoQDAD1jZWUleP/OnTv0+fNneZoBgCwJ4QBAzzRv3lzwfmRkJLVv3x4BAQDSDOEAQM/UqVOHmjVrJth29uxZqlGjBl28eFGmrgAgK0E4ANBD69evpwIFCgi2RUREUKNGjWj8+PH05csXmToDgKwAtzIC6Kk7d+5Qy5YtJR/HbG1tTT4+PlSuXDl68uQJDR48WLB/1apVVKFCBWrUqJGu2gWATAThAECPvXjxgnr16kXnzp3TWmNiYkKPHz+mkiVLEhHRmzdvqGzZshQfH0+tWrUif39/qlmzpq5aBoBMAKcVAPRYiRIl6NSpU+Tr60vZsmWTrFGpVGRra0tr1qwhpVJJCxcupPj4eCIiOnz4MNnZ2VGXLl0oPDxcl60DgIywcgBgAJ4/f04TJkygXbt2pVrXuHFjOnz4MAUFBZG3tzdFRERo9hkZGVHfvn3Jy8tLs8oAAPoJKwcAeiwqKoqcnZ3JxsZGEAxMTU0l679+/UoTJ06kli1b0oMHDygwMJAKFSpERERqtZrWr19P5cqVI2dnZ8lrGQBAPyAcAOih6OhocnV1pTJlylBgYKBmnHLevHkpICCAoqOjadeuXVS0aFHBv7t16xYtXbqUfvvtN3J3d6cePXrQkydPaPr06ZQ3b14iIlIqlRQYGEi//fYbubi4UHR0tM6PDwAyFk4rAOiR2NhYWrRoEc2aNUsw9Mjc3JzGjBlDkyZNImNjY1q4cCHNnj2bvn79qqkxMTEhY2NjSkxM1GyzsLCgiRMn0tixY0mtVtPs2bNpwYIFFBsbq6nJkycPTZ48mZydncnc3FwnxwkAGYwBIMtLSEjgRYsWccGCBZmING/Zs2dnZ2dnjoqK4vj4eJ4/fz4XKFBAVDN27FiOjIzkqKgoHjduHGfPnl1QU6BAAZ4/fz7Hx8dzVFQUOzs7i2qsra150aJFnJCQIPeXAwD+I4QDgCxMqVTy2rVruUSJEoJf1MbGxjxgwAB+/vw5K5VKXr16NRcvXlxUM2jQIH7x4gUrlUrevHkzb9q0iZVKJb948YIHDx7MxsbGgn9TrFgxXrVqFSuVSn7+/Dn/+eefopoSJUrw2rVrWalUyv3lAYB/CeEAIAtKTk7mHTt2cIUKFQS/mBUKBXfp0oXv37/PycnJvG3bNi5Xrpyghoi4e/fu/ODBA2Zm/uuvv7hs2bKafWXLluXNmzdzcnIyP3z4kLt37y769+XKleOtW7dycnIy379/n7t27coKhUJQU758ed6+fTsnJyfL/NUCgF+FcACQhajVaj506BDXrFlT9Au7devWfOPGDVar1bx//362tbUV1bRr145v3rzJzMx79+7latWqiWpS3qpWrcp///03MzPfunWL27VrJ6qxtbXl/fv3s1qt5hs3bnDr1q1FNTVq1OCDBw+yWq2W8SsHAL8C4QAgizh79iw3atRI9Mu3UaNGfPbsWWZmDgkJ4fr164tqmjRpwufPn2dm5lOnTnG9evVENXZ2dmxvby/aXrduXT558iQzM58/f56bNGkiqqlfvz6HhIT8tM8zZ87I88UDgF+CcACQyWn7i7xmzZp86NAhZma+du0at2zZUvIX/pEjR1itVvOVK1e4RYsWopratWvz8ePHNZ/v+PHjXLt2bVFd8+bN+fLly6xWq/no0aOSQcLR0ZGvXr3KzPzTFQ4AyLwQDgAyqfv373OXLl1Ev1wrVKjA27dvZ2bme/fucadOnUQ1FStW5F27drFarebQ0FDu0KGDqKZy5cq8Z88eyeV+tVrNe/bs4SpVqoj+XYcOHTg0NJTVajXv3r2bK1WqJKpxcnLie/fuMTNLXhtBRNylSxcODw/X6dcUANIG4QAgk4mIiOA///yTjYyMBL9MS5YsyWvXrmWVSsXPnj3jfv36iWpKlSrFGzZsYJVKxU+ePOHevXuLasqUKcObN29mlUr1015UKhVv3ryZy5QpI/gYRkZG3Lt3b37y5AmrVCresGEDlypVSlTTr18/fvr0KatUKl63bh2XLFlSVPPnn39yRESEDr6yAJBWCAcAmcTbt2/Z2dmZs2XLJvgFWrBgQV60aBEnJibymzdveOTIkWxqaiqqWbx4saZm+PDhoprChQvzsmXLODEx8Zd7S0pK4uXLl3ORIkUEH9PU1JSHDRvGr1+/5sTERF6yZAkXKlRIVDNy5Eh+8+YNJyYmSs5jyJYtGzs7O/Pbt28z4CsLAL8K4QBAZtHR0ezq6srm5uaCX5h58uRhf39//vbtG3/8+JGnTp3KZmZmgpq8efPyjBkzNDWTJk0S1VhZWfHs2bM5Li7uP/caFxfHs2fPZisrK8HnMDMz44kTJ/KHDx84NjaWZ86cyXnz5hXVTJkyhT9+/MixsbEcEBDAefLkEdTkzJmTXVxc+NOnT+nwlQWAfwvhAEAm37594+nTp4t+QZqbm/O0adM4OjqaY2Ji2M/Pjy0tLUU1bm5umhpvb2+2sLAQ1OTKlYs9PT358+fP6d77ly9f2NPTk3PlyiX4nBYWFuzt7c0xMTEcHR3Nbm5uotBjYWHBvr6+mppp06ZJBqOAgAD+9u1buvcOAD+HcACgYwkJCRwYGCi5tD569Gh++/Ytx8fH84IFC0SjjrNly8Zjx47VjEOeO3eu5DjkCRMm8Lt37zL8WN6/f88TJkyQHLc8d+5czbjlsWPHik6XFChQgBcsWMDx8fH89u1bHj16tOQplcDAQIxkBtAxhAMAHVEqlZIX5aWMOo6IiGClUslr1qyRHHU8cOBAzTjkFStWcLFixUQ1Q4YM4ZcvX+r82F6+fMlDhw6VHLe8YsUKzbjlQYMGiWqKFy/Oq1evZqVSyRERETxgwABRTcmSJXndunUYyQygIwgHABlMrVZrHXXcuXNnDg8P5+TkZA4KCmIbGxvRLX/dunXj+/fvMzPzli1bROOQFQoF9+zZkx89eiTzkTI/evSIe/XqJRqlXLZsWd6yZQszf79Fs1u3bqLjtLGx4W3btmlGMnfp0kX0cSpUqMA7duzASGaADIZwAJBB1Go1Hz58mO3s7ES/CFu1asXXr19ntVrNBw4c4OrVq4tq2rZtKxh1LDUOuX379nz79m15D1TC7du3uX379qJ+q1Wrxnv37mVm5ps3b3Lbtm1FNdWrV+cDBw6wWq3m69evc6tWrUQ1NWvW5MOHD2MkM0AGQTgAyADnzp3jxo0bi36pNWzYUDNC+PTp09ygQQNRTePGjfncuXPMrH3UcdOmTfnChQtyHmKaXLx4kf/3v/+J+q9Xrx6fOnWKmbV/rRo0aMCnT59mZuYzZ85ww4YNJb9WKaOjASD9IBwApKMbN25wmzZtRL/EUh4+xKx91PGPfw1fvXqVHRwcRDW1atXiY8eOZbm/mLWNZG7RogVfuXKF1Wo1HzlyRHKVpWXLlnzt2jVmZj548CDXqFFDVNOmTRuMZAZIRwgHAOngwYMH3LVrV9EvrZTHFjMzh4WFcefOnUU1FSpU4J07d7JareZ79+5xx44dRTWVK1fm4ODgLBcKfqRWqzk4OJgrV64sOr6OHTvyvXv3WK1W886dOyXHLXfq1InDwsKYmXn79u2SNV27dtVcnwEA/x7CAcB/8Pz5cx44cKDo6voSJUrwmjVrNKOO+/fvLzkOef369axSqfjp06fcp08fUU3p0qV506ZNaRp1nFWoVCretGkTly5dWnCsRkZG3KdPH8245fXr10uOW+7Xrx8/e/aMVSoVr127lkuUKCGq+fPPP/n58+dyHypAloVwAPAvREVF8ZgxY0T35VtbW/PChQs5MTGRIyMjedSoUVpHHSckJKQ66njp0qX/atRxVpGYmMjLli3jwoULC47d1NSUhw8fzm/evOGEhARevHixaCaEqakpjxo1iiMjIzkxMZEXLlwoOTdizJgxHBUVJfehAmQ5CAcAvyC1Ucd+fn787ds3/vTpE0+dOpVz5swpqpk+fbpm1PHkyZMlRx3PmjWLY2Nj5T5UnYmNjeVZs2ZJjmSeNGkSf/z4kb99+8YzZsyQHMk8depU/vTpE3/79o39/f0lJ066urpydHS03IcKkGUgHACkgbZfTjlz5tT8coqJiWF/f3/JUccpv5xiYmLYx8dHVJMrVy728PDIkFHHWcXnz5/Zw8NDNJLZ0tKSfXx8NOOWpcKZpaUl+/v7c0xMTJrCGQCkDuEAIBWJiYm8ePFi0ZMGs2XLplnWTkhI4IULF7K1tbXksvbbt285ISGB582bJznqePz48ToZdZxVvHv3jsePHy85knnevHmckJDAb9++TfW0TkrNqFGjRDWFChXSPMESAKQhHABISLkgrlSpUoJfLMbGxty/f3/BqGNtF8Sl1KxatUpyHPLgwYP5xYsXch9qpvXy5UseMmSI5LjllStXakYyDxw4UHQhZ8oFoSkjmfv37y/6OKVKldJcEAoAQggHAD9Qq9W8a9curlixouAXyT9HHW/fvp3Lly+f6q10W7dulRyH3KNHD3748KHMR5p1PHz4kHv27CkapWxjY8Nbt25l5u8jmaVuJbWxseGgoCBOTk7m8PBw7ty5s+jjVKxYUXMrKQB8h3AAwJymITxqtTpNQ3j27dsnOer4999/51u3bsl8pFnX7du3+ffffxd9XW1tbXnfvn3M/PMhVKmNZLazs+MjR44gJAAwwgEAnzt3jps0aSL6ZZGW8b2NGjXSjO8NCQnh+vXri2qyyqjjrOLChQvctGlT0de5fv36HBISwszMZ8+e5UaNGolq/jm+Wuq/aZMmTTTjqwEMFcIBGKyfPfiHmbX+lVmjRg0+dOhQqqOO7e3t+ejRo/hLNAOo1Wo+duwY16pVS/R1d3Bw4KtXr2oefFWzZk1RTcqDr5g5TQ++AjA0CAdgcB48eKD1kcFBQUHMzJrz0/+s+fGRwWFhYezk5CSqqVSpEu/evRuhQAfUajXv3r2bK1WqJPrv4OTkxGFhYVofmU1E3LlzZ81I5qCgIMnrSLp168YPHjyQ+UgBdAvhAAzGixcveNCgQZKjjlevXs0qlYojIiJ4wIABkle/r1u3jpVKJT979oz79u0rOep448aNuPpdBiqVijdu3Cg5krlv37787NkzViqVvG7dOsmRzCl3oKhUKl69erXoDhRjY2MeNGgQ7i4Bg4FwAHovKiqKx44dK3lP/IIFCzT3xI8ePVpy1HFgYCAnJCRwZGQkjxgxQvK++SVLluC++UwgMTGRly5dKhrJnC1bNh4xYoRmLkVgYKDkSObRo0drahYsWCA5u2Ls2LEYyQx6D+EA9Nbnz5/Zzc1Ncprej6OOXVxcUp2m9+nTJ54yZYqoJm/evDxz5kyDGnWcVWgbyZwzZ06ePHmyZiTz9OnTReOWc+bMydOmTdOMZPbz85Oceunm5oaRzKC3EA5A78TGxvLMmTMlRx1PmTJF86IfEBAg+YvBxcVFMw7Z19dX8heDu7u7QY86zio+f/7M7u7ukgHR19dXMJJZKiAGBAT8NCDOmDEDARH0DsIB6I3ExEResmSJ5KjjkSNHapaLFy1aJLlc7OzsrBl1PH/+fFFN9uzZedy4cVhSzoKioqJ43LhxopHM1tbWPH/+fM2pJWdnZ8nTT4sWLdKcWho5ciROLYHeQziALE+lUvGGDRskRx3369dPczHa2rVrJUcdDxgwQHAxGkYd668XL17w4MGDJUcy/3hR6p9//il5UeratWs1F6X269dPciTzhg0bcFEqZHkIB5BlpYw6lrqNrVOnThwWFpbqqOMuXbpweHg4MzNv27ZNctRx9+7dcRubHnr48CF3795d9N/bxsaGt23bxszfb2ft0qWLqKZ8+fK8fft2ze2snTp1Eo1krlSpEu/atQu3s0KWhXAAWY5areajR4+yvb296IXb0dFRMwDn0KFDkgNwWrdurRmAs3//fskBOO3atcMAHANw69Ytbteunei/f/Xq1Xn//v3M/H0QVuvWrUU1NWvW1AzCunbtGjs6OopqMAgLsiqEA8hSzp8/Lzk6t0GDBr88OrdBgwaimiZNmvD58+flPESQwfnz5//TCO2U76uQkBDJ76umTZvi+wqyFIQDyBLS8hfejRs3JP/C+3HU8fXr17lly5b4Cw9EfrYilfLwrUOHDkk+fKt169aah2+ltiKFh29BVoBwAJnaw4cPuUePHlrPDZ87d4579eolum0xreeGK1asiHPDIKDtsd3pfS0LHtsNmRnCAWRK2q4qNzU1ZTMzM9GV5D++4apySA//9S6YP//8kyMiIlipVPKqVatwFwxkKQgHkGnExcXxkiVLJP/SSutbQEAA7keHdJXe8zMKFCggqEmZn/Hu3Tu5DxVAA+EAdO7z58+8dOlSbt++PZcpU0Y0de7fvCkUCn706BEm2UGGSY/Jm9HR0Vonb+bKlQuTNyHTQDgAnapdu/Z/DgL/fDMyMuLQ0FD28/MTvShjBj6kt+joaMlnduTJk0fwzI5p06al6zM79u3bx8uXL5fpqMHQIByATjVr1ixdg4FCoeCpU6fi6Xmgc2l52mdkZORPn/b55s0bHjFihKimcOHCvHTpUs0psJTt8+fPl/fAwSAgHIBOqVQq7tatW7qFg3+eBzY2NuZBgwbx8+fP5T5UMBDPnz/nQYMGiS56LVGihGYk87Nnz3jAgAGiC2lLlizJ69atY6VSyU+fPuW+ffuKakqXLs0bN24UbFu9erXchw16DuEAdEKtVvPu3bslRx2n11u3bt34/v37ch8qGKj79+9LBt/y5ctzUFAQM38fydy5c2dRTYUKFXjHjh2cnJzM9+7dYycnp59+v6eMeQbICAgHkKFSBsvUqlVL9OLm4ODAQ4cO/c+hoG3bthh1DJnGzZs3uW3btqLv0xo1avCBAweYmfnatWvcqlUrUU3NmjX58OHDrFar+erVq+zg4JDq9/7ff/8t89GCvkI4gAxz4cIFyVHH9evX51OnTjHz91HHdevW/VehoHHjxnzu3Dl5DxJAi3PnznHjxo1F37dpGePduHFjPnv2LDMznzp1iuvXr6/15+DEiRNyHiboKYQDSHe3b9/m33//XfQiZmtry/v27WPm76OO27Rp869CgZ2dHR85cgRTDSHTU6vVfOTIEbazsxN9H7ds2ZKvX7/OarWaDx48KDluuU2bNpqRzKn9TGzcuFHmIwV9g3AA6SZl1PE/RxSXK1eOt27dyszfz8t27dpV9OKWlsFH1tbWvHPnToQCyHLUajXv3LmTK1SoIPieVigU3LlzZw4PD091JLPUz4xU2MBIZkgvCAfwn718+ZKHDBkiulq7WLFivHLlSlYqlfz8+XMeOHCgqKZ48eK8Zs0aViqVqb7wde/eHaOOIctTqVS8fv16LlmypOD729jYmPv3768Zt7xmzRrRuOW0vg0ZMoRfvnwp96FCFodwAP/au3fvePz48Zw9e3bBi1OBAgV43rx5nJCQwFFRUTxmzBjJe8EXLlzICQkJ/PbtWx41apTWFzsPDw+5DxUgXSUkJPDixYu5YMGCgu/1bNmy8ahRozTjlhcuXCia4ZGWt+zZs/P48eMxkhn+NYQD+GWfP39mDw8PzpUrl+AFydLSkn18fDgmJoajo6PZ1dVVNEXO0tKS/f39OSYmhj99+sRTp04V1fz4NmnSJLkPFyDDfPv2jWfMmCEayWxubs5Tp07lY8eOsZmZ2b9aQSD6PpLZw8MDI5nhlyEcQJrFxsbyrFmz2MrKSvACZGZmxpMnT+aPHz/yt2/fePr06aIxxmZmZjx16lRNjb+/v6jmn28jR46U+5ABdEJbmE6vNysrK541axbHxcXJfaiQRSAcwE8lJiby0qVLuXDhwoIXHFNTUx4+fDi/efOGExMTefHixaKJhaampjxq1CiOjIzkxMREXrhwoeRS6pgxYwTb+vXrJ/dhA+jc27dvuUePHukSCIyMjETTFosUKcLLli3DU0nhpxAOQCuVSsWbNm3iMmXKiF50+vTpw0+fPtVcYPXPZ94bGRlx//79+dmzZ6xSqXjNmjWii7BSnnmfMuo4ZXvnzp1lPnIAeYwcOTJdVwzMzMy4W7duopBQpkwZ3rRpEy7yBa0QDkBErVZzcHAwV65cWfRi07FjRw4NDdXcmlWxYkVRTefOnTksLIyZOdVbs/456rhHjx7ctWtXOQ4ZIFP47bff0v2UgoWFBd++fZs7duwo2le5cmUODg7G7cEggnAAAseOHZN8rLKDgwNfuXLlp0Ndrl27xszMBw8e5Jo1a4pqfhzqAgBCkZGR7OPjw82aNeOiRYuK7gT6LwFBqVTylStXuEWLFqL9tWvX5mPHjsl9+JCJIBwAMzNfvHhR8nHK9erV04w6PnfuHDdp0kRU06BBAw4JCWHm7+OQGzVqJKpp1KiRZhwsAPyad+/e8fz587levXr/OjBky5aNT58+zczMJ0+e5Hr16olqmjVrxhcvXpT5aCEzQDgwcHfu3OH27duLXiSqVavGe/fuZWbtD5KxtbXlAwcOsFqt5hs3bvz0QTIA8N+p1Wo+fPiw5MqcsbGxaELpP99+fFDZ3r17uVq1aqKa9u3b8507d+Q9UJAVwoGBevToEffs2VP0QlK2bFnesmULMzM/ePBA8hG0NjY2HBQUxMnJyZpH0P7z46Q8ghahACBjqNVq3rFjh+RIZicnJw4MDOTevXtzsWLFJANDt27d+MGDB8zMvGXLFi5btqzo4/Ts2ZMfPXok85GCHBAODMyrV6+0jjpesWIFK5VKfvHiBQ8aNEhy1PHq1as145AHDBggqilZsiSvW7eOlUql3IcKYBCUSiWvW7dOciTzgAED+Pnz56xUKnn16tWikczGxsY8aNAgfvHiBSuVSl6xYgUXK1ZMUGNiYsJDhw7lV69eyX2ooEMIBwbi/fv3PGHCBNH5yvz58/PcuXM5Pj6eo6KieOzYsaJRxwUKFOAFCxZwfHw8v337lkePHi2qKViwIAcGBnJCQoLchwpgkBISEjgwMFByjsjo0aP57du3HB8fzwsWLOACBQqIasaOHctRUVEcHx/Pc+fO5fz58wtqsmfPzhMmTOD379/LfaigAwgHeu7Lly/s6ekpGnVsYWHB3t7e/PXrV46OjmY3NzfJUcd+fn6accjTpk0T1eTJk4enT5/O3759k/tQAYBZ65RSc3NznjZtGkdHR3NMTAz7+fmxhYWFqMbNzY2jo6P569ev7O3tLarJnTs3e3p68pcvX+Q+VMhACAd6Ki4ujmfPns358uUT/GCbmZnxpEmT+OPHjxwbGys5193MzIynTJmiqQkICBDV5MyZk11dXTk6OlruQwUACZ8+fWIXFxfOmTOn4Gc3b968HBAQwLGxsfzx40eeMmWK6PkNefPm5RkzZmhqJk2aJKrJly8fz549GyOZ9RTCgZ5JSkriZcuWcZEiRQQ/yP8cdbxkyRLJUccjR47U1CxatEhyidLZ2Znfvn0r96ECQBq8ffuWnZ2dJU8FLlq0iBMTE/nNmzc8cuRINjU1FdQUKlSIlyxZwomJifz69WseNmyYqKZIkSK8fPlyTkpKkvtQIR0hHOgJlUrFmzdvlhx13Lt3b37y5AmrVCresGGD5Kjjfv36acYhr127Vuuo44iICLkPVWTv3r1MRDxr1iwODAzkmjVrcs6cOTlXrlzcsWNHXEgFmcqWLVuYiHjVqlV88uRJbt26NefJk4etrKy4W7duGfaY5YiICB4wYIBolHLJkiV57dq1rFKp+OnTp9yvXz9RTalSpXjDhg2sUqn4yZMn3Lt3b8mRzJs3b8ZIZj2BcJDFqdVq3rNnD1epUkV0q1KHDh00o4537dolOeq4U6dOfO/ePWb+Pur4n7dFERF36dKFw8PDZT5S7Xx8fJiIuHz58mxmZsa9evXi8ePHa74mdevWlbtFAI3Jkydrfq5y5crF3bt350mTJnH16tWZiDJ8hHh4eDh36dJF9HOecvsxM/O9e/fYyclJVFOpUiXetWsXq9VqDg0N5Q4dOohqqlSpwnv27MFtzFkcwkEWdvz4cclRxy1atODLly9rRh3b29uLahwdHfnq1avMzHzo0CHJgSqtW7fm69evy3yUP5cyM75YsWL88OFDzfbExETNgJfz58/L2CHA/+fo6Kj5Zfzs2TPN9vj4eC5SpAjnzZtXJ31cv36dW7duLfq5t7Oz40OHDjEz85UrVzT9/vhmb2/PR48eZbVazZcvX+bmzZuLaurUqcMnTpzQybFA+kM4yIIuXbok+cNYt25dPnnyJDMznz9/XnLUcf369TXjkM+ePcuNGzcW1TRs2JDPnDkj4xH+mpTTJCmjYX80c+ZMJiJes2aNDJ0BiBUsWJAVCoXkBMJ69epxzpw5ddrPmTNnuGHDhqLXgcaNG/O5c+eYmfnUqVNcv359UU3Tpk01wfvEiRNct25dUU3z5s350qVLOj0m+O8QDrKQO3fu8B9//CH64atatSr//fffzMx869YtbteunajG1taW9+/fz2q1mm/evCn5F0ONGjX40KFDWWo5MDo6WvNXipTVq1czEfHy5ct13BmAWGRkJBN9fx6JFGtra65SpYqOu/p+evLQoUNco0YNyRXEmzdvslqt5v3797Otra2opl27dnzr1i1mZv7777+5atWqopo//vgDI5mzEISDLODx48fcq1cvyVHHf/31FycnJ/PDhw+5e/fuoh/IcuXK8bZt2zg5OZnv37/PXbp0EX2c8uXL844dOzg5OVnuQ/1lJ0+eZCJiDw8Pyf0eHh5MRHzgwAEddwYgdvDgQSYi9vT0FO17/fo1ExH37t1b9439n+TkZMnHrCsUCu7SpQvfv3+fk5OTedu2bVyuXDnR602PHj344cOHnJyczH/99ZfkSOZevXrx48ePZTtGSBuEg0zs1atXPHToUDYxMRH8gBUtWlQw6njw4MGS45BXrVqV6qjjEiVK8Nq1a7P0qON58+YxEfHq1asl99euXZuzZcvGX79+1XFnAGIBAQFMRJqVvh/t27ePiYjnzp0rQ2dCSqWS165dyyVKlBC8ZhgbG/Off/7Jz58/56SkJF61apVo3LKxsTEPHjxYM5J5+fLlXLRoUUGNiYkJDxs2DHcSZWIIB5lQyqjjHDlyCH6g8ufPz3PmzOH4+Hh+9+4djxs3TnIc8vz58zXjkJ2dnUU11tbWvGjRIr0YddynTx+tL6ghISFMRPznn3/K0BmAWNeuXZmI+MWLF6J93t7eTESZ6iK+hIQEXrRoEVtbWwteQ7Jnz87Ozs6accvz58+XHLc8btw4fvfuHcfHx/OcOXNENTly5OCJEydiJHMmhHCQiXz58oW9vLw4d+7cgh8gCwsL9vLy4q9fv/Lnz5/Z3d1dchyyr6+vZhyyi4uL5KjjgIAAvRp1nHK7or29vWAF5NmzZ1yyZEnOnz8//jqBTMPGxobz588vuS/leqKPHz/quKufi4mJ4YCAAMmRzC4uLvz582f++vUr+/j4iMYt58qVi93d3TU1Xl5ekiOZvby8MJI5E0E4yATi4uJ4zpw5kqOOJ06cyB8+fODY2FieOXOm5KjjyZMna0YdT58+XXLU8bRp0/jTp09yH2q6io+PZxMTE65fvz7ny5ePq1WrxhMmTOB+/fpx7ty52dzcXHNnBoDcYmNj2cjIiB0cHCT3Fy9enEuWLKnbpn7Rp0+feNq0aZIjmadPn86xsbH84cMHnjx5suRI5pkzZ2pqJk6cKFodzZcvH8+ZMwcjmTMBhAMZJSUl8fLlyyVHHQ8bNoxfv36tddSxiYkJjxgxQlMTGBgoOQ559OjRHBkZKfehZogrV64wEbGLiwtfu3aNGzVqxGZmZppJc5l5cBMYnosXLzIR8ZQpU0T7Pnz4oLmiPyuIjIzk0aNHS45bDgwM1IxbHjFihOiaqcKFC/PSpUs5MTFRc13VPz9OynVVGMksH4QDGaRcyfvbb78JfiCMjIw0V/KqVCreuHEjly5dWnS1b9++fTXjkNetWyc5DnnAgAGCASv6aOXKlUxEHBQUJHcrAAbp2bNnkiOZS5UqxevWrdOMW+7bt6/oLqnSpUvzxo0bWaVSae7I+ufH+e233zR3ZIFuIRzokFqtTvUe4Lt377Jarebdu3dzpUqVRDVOTk4cGhrKzMw7duyQHIec2Ucdp6fhw4czEfGDBw/kbgXAoIWHh3Pnzp1Fr0cVK1bknTt3MjNzaGio1pHMu3fvZrVazXfv3k11lktWmsGS1SEc6MiJEye4Tp06om/65s2ba0YdHz16lGvVqiWqcXR05CtXrjDz91HHdnZ2oppWrVpliVHH6alu3bpsbm6OvyoAMolr165xq1atRK9P9vb2fPjwYWb+fjrQwcFBVFOrVi0+duwYq9XqNE2BhYyFcJDBtH2T16lTh48fP87MzBcuXOCmTZuKaurVq6e5oO7cuXNaRx1LjQ3Wd8nJyZwzZ048VAkgEzp9+jQ3aNBA9HrVpEkTzUjmkydPcr169UQ1//vf//jChQvM/P35MVJ/VKU8PwYyDsJBBrl7926qTyxjZr59+zb//vvvoppq1arxvn37NKOO27RpI6qpXr06Hzx4EMtsAJApqdVqPnjwoOZpkz++tWnTRjOSed++fZoHpP349vvvv/Pt27eZmVN98uzdu3dlPlL9hHCQzh4/fsy9e/cWXXzz22+/8ebNmzWjjnv06CE5Dnnr1q2cnJzMDx484K5du0qOOt6+fTuW0gEgS0hOTuagoCC2sbERXVzdtWtXfvDgAScnJ/OWLVskxy3/OJJ58+bNogu5FQoF9+7dGyOZ0xnCQTp59eoVDxs2THLU8fLly1mpVPLLly8lRx0XLVqUV65cyUlJSfzixQseOHCgqKZ48eK8Zs2aLD3qGAAMl1Kp5DVr1nDx4sUFr20mJiY8cOBAfvHiBSclJfHKlStF45aNjY15yJAh/PLlS05KSuJly5aJbgFPGcn8+vVruQ9VLyAc/Ec/G+aRMup4/PjxkqOO582bp6kZM2aM5KjjhQsX6sWoYwCAhIQEXrhwIRcoUEDwWpc9e3YeM2aMZtzyvHnzJEcyjx8/XlMze/Zs0fC4HDly8KRJk/jDhw9yH2qWhnDwL339+pW9vb1Fo45z587Nnp6emlHHHh4ekqOOfXx8NDWurq6iGktLS/b39+eYmBi5DxUAIN3FxMSwn58fW1paCl77cuXKxW5ubppxy1Kvs7ly5WIPDw/+/Pkzf/nyhT09PSVfi729vfHQtX8J4eAXxcXF8dy5cyUfIDJhwgTNqONZs2axlZWVqGby5MmaGkMadQwAIOXjx488depU0bhlKysrnjFjhmbc8qRJk0QrtFZWVjxr1iyOi4tL9YF1c+fOxUjmX4RwkEZJSUm8YsUKyUePDh06lF+9esWJiYm8dOlSLly4sKhm+PDh/Pr1a05KSuLFixdLjjoeNWqU3o46BgBITWRkJI8aNUo0Srlw4cK8ePFiTkpK4tevX/Pw4cNF13YVKVKEly1bphnJPGTIEMnrv1Ku7YKfQzj4idRGHffs2VMz6njTpk1cpkwZ0VW0ffr04SdPnnBycjKvX79eNA7ZyMiI+/fvr/ejjgEA0uLZs2fcv39/0Sjl0qVL8/r16zk5OZmfPHnCffr0Ed3NVaZMGd60aZNmJHPPnj1FH6ds2bK8ZcsW3PH1EwgHWqjVat67d6/kqOP27dvznTt3WK1Wc3BwMFeuXFlU07FjR82o4507d0qOQ+7cuTOHhYXJfKQAAJlPWFgYd+rUSfS6WalSJc1I5rt373LHjh1FNZUrV+bg4GBWq9V8584dbt++vaimWrVqvHfvXsyK0QLhQMLJkye5bt26om+mZs2a8aVLl5iZ+dixY5Kjjh0cHDSTuw4fPsz29vaimpYtW/K1a9fkPEQAgCzh6tWr3LJlS9HrqL29PR85coSZmS9fvswtWrQQ1dSuXZuPHTvGzN+fivm///1PVPPjJFr4/xAOfqDtG+zHUccXL17kZs2aiWp+nPl9/vx5btKkiaimQYMGHBISIuchAgBkSSEhIVy/fn3R62rTpk35/PnzzPz9GTba/rC7ePEiM3//w6527dqSf9ilPMMGEA6Y+fvTwqSWpqpUqcLBwcHM/H3UsdTSVNWqVTVLU7du3eK2bduKaqpXr84HDhzA8hUAwH+gVqv5wIEDbGtrK3qdbdu2Ld+6dStNp4SZmYODgyVHMv94StiQGXQ4+NlFLcnJyfzo0SPu2bOn5KjjlItaHj58yN26dRPV2NjYcFBQEC58AQBIR8nJybxt2zYuV66c6CLw7t27a8YtS11MrlAouGfPnvzo0SNOTk7+6cXkhsogw8HPbodJSkrily9f8pAhQ9I06vifHwejjgEAMp5SqeTVq1dLjmQeNGiQZtzyz25DT0pK4qVLl0qOZB4+fDi/efNG7kPVOYMKB9oGaeTLl49nz56tGaQhNeo4X758mkEa796947Fjx4pqChQowAsWLOD4+Hi5DxUAwGDEx8fzggULJEcyjx07lt+9e6cZYPfPccvZs2fnCRMm8Pv37zkuLo5nzZolqjEzM9MMsDMUBhEOvn79yj4+PmxhYSH4D547d2728PDgL1++aEZw/nOMccoIzi9fvvDnz5/Zzc1NctSxn58fRh0DAMgoZSTzP1/rc+XKxe7u7prX+tRG36fUeHh4iGp+HH2v7wwiHPz111+C/8A5cuTg8ePHa5Li7NmzJUcdpzy8Iy4ujmfMmCGqMTMz46lTp/LHjx/lPkQAAPg/Hz9+5ClTpkiOZJ45cybHxcWl+tC8f64k/7Pmr7/+kvsQM5xBhAOVSsWVK1dmExMTHjJkiOYck7bHfv446njJkiWiccimpqY8cuRIgzwPBQCQVbx584ZHjhwpOZJ5yZIlnJSUxK9eveJhw4ZJXoO2fPlyzTVogwcPZhMTE65SpQqrVCq5Dy3DGUQ4YGY+dOgQP3r0KNVRx7179+bHjx9zcnIyb9iwQXLUcb9+/fjp06dyHw4AAKTR06dPuV+/fpIjmTds2MDJycn8+PFj7t27t+Tda5s3b2aVSsWPHj3iw4cPy304OmEw4UCtVvO6desk72vt0KED3717l5mZd+3aJTnquFOnTnzv3j2ZjwIAAP6te/fusZOTk+j1vXLlyrxr1y5m/j6SuUOHDqKaKlWq8Nq1aw1mXo0RGQiFQkHx8fEUGhqq2daiRQu6fPkyBQcH05s3b6hWrVrUqVMnCgsL09S0bNmSrl69Sjt37qRKlSrJ0ToAAKSDSpUq0a5du+jKlSvk6Oio2X7v3j3q1KkT1a5dmyIjIyk4OJguXbpEzZs319SEhoZSYmIiKRQKOVrXOQUzs9xN6FLt2rXJyMiIAgICqFmzZnTx4kVycXGhkJAQQV39+vUpICCAmjRpIk+jAACQoUJCQsjFxYUuXrwo2P6///2P/P39qV69enTixAlydXUltVpNV65ckalT3TO4cHD+/HmqX78+3b17l1xdXWn//v2C/ba2tuTv709t2rQxmIQIAGComJkOHjxIrq6udPv2bcG+du3akb+/P1WtWpUuXrxI9evXl6lL3TO4cEBE5ObmRgEBAfTjoZcrV458fX2pS5cuZGRkMGdbAACAiNRqNe3YsYPc3d3p0aNHmu0KhYJcXFzIz89Pxu50zyB/C3bt2lXz/4sVK0arV6+msLAw6tatG4IBAIABMjIyom7dutG9e/do1apVVKxYMc2+bt26ydiZPAxy5YCIaMyYMVS6dGkaNmwY5ciRQ+52AAAgE0lISKDly5fTs2fPaOHChXK3o3MGGw4AAABAGtbQAQAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABBAOAAAAQADhAAAAAAQQDgAAAEAA4QAAAAAEEA4AAABAAOEAAAAABP4fRKYYGboOLWsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dot:\n",
      "dot failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 80, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 84, in set_feynman_diagram\n",
      "    self.src_dot = feynman_to_dot(\n",
      "                   ^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/interface/dot.py\", line 70, in feynman_to_dot\n",
      "    thestyle = styler(fd, l)\n",
      "               ^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 40, in stylize_connect\n",
      "    style = 'style=\"{}\",texmode=\"raw\"'.format(map_feyn_to_tikz[lname])\n",
      "                                              ~~~~~~~~~~~~~~~~^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "mermaid:\n"
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",
      "text/plain": [
       "<wand.image.Image: e2db849 'PDF' (664x570)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unicodepdf:\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<wand.image.Image: 3be897c 'PDF' (13837x9)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "madgraph:\n",
      "madgraph failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 79, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 133, in set_feynman_diagram\n",
      "    self.set_src(feynman_to_ps(fd))\n",
      "                 ^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 56, in feynman_to_ps\n",
      "    line = type_map[style.getProperty(\"line\").value]\n",
      "           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "root:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: eebddba 'PDF' (788x756)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Info in <TCanvas::SaveSource>: C++ Macro file: /tmp/tmpw3x1amey.tex has been generated\n",
      "Info in <TCanvas::Print>: TeX file /tmp/tmpfqf1epqm.tex has been created\n"
     ]
    }
   ],
   "source": [
    "fd = t2t.t_channel(2212,11,24,2112,12)\n",
    "ar = AllRender(auto_default(fd))\n",
    "ar.render()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "119d4b4c-f58a-4ad6-b0d8-d2f2eb3b9302",
   "metadata": {},
   "source": [
    "## beta decay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4bdad7fe-e327-4647-a359-7af319a81360",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tikz:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: e73f2ac 'PDF' (399x397)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pyx:\n",
      "pyx failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/pyx/pyxrender.py\", line 50, in render\n",
      "    nl = NamedLine[lname](lp, Point(tar.x, tar.y))\n",
      "         ~~~~~~~~~^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "feynmp:\n",
      "feynmp failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 210, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 214, in set_feynman_diagram\n",
      "    self.set_src_diag(NoEscape(feynman_to_feynmp(fd)))\n",
      "                               ^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 152, in feynman_to_feynmp\n",
      "    src = do_legs(src, incoming, True)\n",
      "          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/feynmp.py\", line 135, in do_legs\n",
      "    tttype = type_map[lstyle.getProperty(\"line\").value]\n",
      "             ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "feynman:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dot:\n",
      "dot failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 80, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 84, in set_feynman_diagram\n",
      "    self.src_dot = feynman_to_dot(\n",
      "                   ^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/interface/dot.py\", line 70, in feynman_to_dot\n",
      "    thestyle = styler(fd, l)\n",
      "               ^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/latex/dot.py\", line 40, in stylize_connect\n",
      "    style = 'style=\"{}\",texmode=\"raw\"'.format(map_feyn_to_tikz[lname])\n",
      "                                              ~~~~~~~~~~~~~~~~^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "mermaid:\n"
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",
      "text/plain": [
       "<wand.image.Image: 0cbcc0e 'PDF' (664x570)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unicodepdf:\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<wand.image.Image: 3be897c 'PDF' (13837x9)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "madgraph:\n",
      "madgraph failed:\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/all.py\", line 120, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 79, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 133, in set_feynman_diagram\n",
      "    self.set_src(feynman_to_ps(fd))\n",
      "                 ^^^^^^^^^^^^^^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 56, in feynman_to_ps\n",
      "    line = type_map[style.getProperty(\"line\").value]\n",
      "           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'baryon'\n",
      "\n",
      "root:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: a1dd352 'PDF' (788x756)>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Info in <TCanvas::SaveSource>: C++ Macro file: /tmp/tmpepwmfzyy.tex has been generated\n",
      "Info in <TCanvas::Print>: TeX file /tmp/tmplio0nm1l.tex has been created\n"
     ]
    }
   ],
   "source": [
    "for l in filter(lambda l : l.pdgid == 11,fd.legs):\n",
    "    l.with_pdgid(-11).with_sense(\"outgoing\")\n",
    "ar = AllRender(auto_default(fd))\n",
    "ar.render()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1bc5310-d87f-42bb-a85d-1d9d986b5892",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}