{
 "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": 5,
   "id": "23e42c23-b017-4d9e-989f-acd128b3a81d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from feynml import *\n",
    "from feynml.topology import two_to_two as t2t\n",
    "from pyfeyn2.auto import auto_default\n",
    "from pyfeyn2.render.all import AllRender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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 113, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\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 113, 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",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\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",
      "  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 113, 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",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\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",
      "        fd, styler=stylize_connect, resubstituteslash=False\n",
      "        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "    )\n",
      "    ^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/interface/dot.py\", line 70, in feynman_to_dot\n",
      "    thestyle = styler(fd, l)\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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white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$p$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(139.921875, 20)\"><g class=\"label\" transform=\"translate(-25.109375, -12)\"><foreignObject width=\"50.21875\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$e^{-}$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(139.921875, 114)\"><g class=\"label\" transform=\"translate(-13.3515625, -12)\"><foreignObject width=\"26.703125\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$n$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(254.40625, 42)\"><g class=\"label\" transform=\"translate(-34.265625, -12)\"><foreignObject width=\"68.53125\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$\\nu_{e}$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(139.921875, 67)\"><g class=\"label\" transform=\"translate(-30.21875, -12)\"><foreignObject width=\"60.4375\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$W^{+}$</p></span></div></foreignObject></g></g></g><g class=\"nodes\"><g class=\"node default hidden \" id=\"flowchart-Vertex17-0\" transform=\"translate(84.703125, 92)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Vertex17</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Vertex18-1\" transform=\"translate(195.140625, 42)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Vertex18</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg19-2\" transform=\"translate(8, 92)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg19</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg20-3\" transform=\"translate(84.703125, 20)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg20</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg22-4\" transform=\"translate(195.140625, 114)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg22</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg23-5\" transform=\"translate(313.671875, 42)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg23</p></span></div></foreignObject></g></g></g></g></g></svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "asciipdf:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: 762190d 'PDF' (830x1383)>"
      ]
     },
     "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: d1f9d7e 'PDF' (477x9)>"
      ]
     },
     "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 113, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ~~~~~~^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 77, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 131, 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 47, in feynman_to_ps\n",
      "    line = type_map[style.getProperty(\"line\").value]\n",
      "           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'boson'\n",
      "\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": 7,
   "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: 8c9aa41 '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 113, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\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 113, 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",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\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",
      "  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 113, 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",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\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",
      "        fd, styler=stylize_connect, resubstituteslash=False\n",
      "        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "    )\n",
      "    ^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/interface/dot.py\", line 70, in feynman_to_dot\n",
      "    thestyle = styler(fd, l)\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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white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$p$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(254.40625, 20)\"><g class=\"label\" transform=\"translate(-25.109375, -12)\"><foreignObject width=\"50.21875\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$e^{-}$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(139.921875, 95)\"><g class=\"label\" transform=\"translate(-13.3515625, -12)\"><foreignObject width=\"26.703125\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$n$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(254.40625, 70)\"><g class=\"label\" transform=\"translate(-34.265625, -12)\"><foreignObject width=\"68.53125\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$\\nu_{e}$</p></span></div></foreignObject></g></g><g class=\"edgeLabel\" transform=\"translate(139.921875, 45)\"><g class=\"label\" transform=\"translate(-30.21875, -12)\"><foreignObject width=\"60.4375\" height=\"24\"><div xmlns=\"http://www.w3.org/1999/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel \"><p>$W^{+}$</p></span></div></foreignObject></g></g></g><g class=\"nodes\"><g class=\"node default hidden \" id=\"flowchart-Vertex17-0\" transform=\"translate(84.703125, 70)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Vertex17</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Vertex18-1\" transform=\"translate(195.140625, 45)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Vertex18</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg19-2\" transform=\"translate(8, 70)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg19</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg20-3\" transform=\"translate(313.671875, 20)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg20</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg22-4\" transform=\"translate(195.140625, 95)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg22</p></span></div></foreignObject></g></g><g class=\"node default hidden \" id=\"flowchart-Leg23-5\" transform=\"translate(313.671875, 70)\"><rect class=\"basic label-container\" style=\"display:none !important\" x=\"-30\" y=\"-15\" width=\"60\" height=\"30\"/><g class=\"label\" style=\"\" transform=\"translate(0, 0)\"><rect/><foreignObject width=\"0\" height=\"0\"><div xmlns=\"http://www.w3.org/1999/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel \"><p>Leg23</p></span></div></foreignObject></g></g></g></g></g></svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "asciipdf:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<wand.image.Image: 7ebe6ce 'PDF' (830x1400)>"
      ]
     },
     "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: d1f9d7e 'PDF' (477x9)>"
      ]
     },
     "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 113, in render\n",
      "    render(fd).render(dirpath + \"/\" + name + \".pdf\", **dynarg)\n",
      "    ~~~~~~^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 77, in __init__\n",
      "    self.set_feynman_diagram(fd)\n",
      "    ~~~~~~~~~~~~~~~~~~~~~~~~^^^^\n",
      "  File \"/home/apn/git/pyfeyn2/pyfeyn2/render/ps/madgraph.py\", line 131, 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 47, in feynman_to_ps\n",
      "    line = type_map[style.getProperty(\"line\").value]\n",
      "           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
      "KeyError: 'boson'\n",
      "\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": "3.13.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}