{
        "cells": [
                {
                        "cell_type": "markdown",
                        "id": "1b8ecb5f",
                        "metadata": {},
                        "source": [
                                "# PyX"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": 1,
                        "id": "1b09c860",
                        "metadata": {},
                        "outputs": [
                                {
                                        "name": "stdout",
                                        "output_type": "stream",
                                        "text": [
                                                "2.0.5.16\n"
                                        ]
                                }
                        ],
                        "source": [
                                "from pyfeyn2.feynmandiagram import FeynmanDiagram, Leg, Propagator, Vertex\n",
                                "from pyfeyn2.render.pyx.pyxrender import PyxRender\n",
                                "import pyfeyn2\n",
                                "print(pyfeyn2.__version__)"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": 2,
                        "id": "168c2c08",
                        "metadata": {},
                        "outputs": [],
                        "source": [
                                "fd = FeynmanDiagram()\n",
                                "v1 = Vertex(\"v1\").with_xy(-1, 0)\n",
                                "v2 = Vertex(\"v2\").with_xy(1, 0)\n",
                                "p1 = Propagator(\"p1\").connect(v1, v2).with_type(\"photon\")\n",
                                "l1 = Leg(\"l1\").with_target(v1).with_xy(-2, 1).with_type(\"photon\").with_incoming().set_label(\"$g_1$\")\n",
                                "l2 = Leg(\"l2\").with_target(v1).with_xy(-2, -1).with_type(\"photon\").with_incoming().set_label(\"$g_2$\")\n",
                                "l3 = Leg(\"l3\").with_target(v2).with_xy(2, 1).with_type(\"photon\").with_outgoing().set_label(\"$g_3$\")\n",
                                "l4 = Leg(\"l4\").with_target(v2).with_xy(2, -1).with_type(\"photon\").with_outgoing().set_label(\"$g_4$\")\n",
                                "p1.with_source(v1)\n",
                                "p1.with_target(v2)\n",
                                "fd.propagators.append(p1)\n",
                                "fd.vertices.extend([v1, v2])\n",
                                "fd.legs.extend([l1, l2,l3,l4 ])"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": 3,
                        "id": "c094eb1c",
                        "metadata": {
                                "scrolled": false
                        },
                        "outputs": [
                                {
                                        "data": {
                                                "image/png": 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\n",
                                                "text/plain": [
                                                        "<wand.image.Image: 954654f 'PDF' (329x164)>"
                                                ]
                                        },
                                        "metadata": {},
                                        "output_type": "display_data"
                                },
                                {
                                        "data": {
                                                "image/png": 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\n",
                                                "text/plain": [
                                                        "<wand.image.Image: 954654f 'PDF' (329x164)>"
                                                ]
                                        },
                                        "execution_count": 3,
                                        "metadata": {},
                                        "output_type": "execute_result"
                                }
                        ],
                        "source": [
                                "pr = PyxRender(fd)\n",
                                "pr.render(\"tmp.pdf\")"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": 4,
                        "id": "1656f95a",
                        "metadata": {},
                        "outputs": [],
                        "source": [
                                "from pyfeyn2.render.pyx import config "
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": 5,
                        "id": "a490a2f1",
                        "metadata": {},
                        "outputs": [
                                {
                                        "name": "stdout",
                                        "output_type": "stream",
                                        "text": [
                                                "Running in visual debug mode\n"
                                        ]
                                },
                                {
                                        "data": {
                                                "image/png": 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\n",
                                                "text/plain": [
                                                        "<wand.image.Image: 87f3e41 'PDF' (329x164)>"
                                                ]
                                        },
                                        "metadata": {},
                                        "output_type": "display_data"
                                },
                                {
                                        "data": {
                                                "image/png": 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\n",
                                                "text/plain": [
                                                        "<wand.image.Image: 87f3e41 'PDF' (329x164)>"
                                                ]
                                        },
                                        "execution_count": 5,
                                        "metadata": {},
                                        "output_type": "execute_result"
                                }
                        ],
                        "source": [
                                "pr = PyxRender(fd)\n",
                                "config.getOptions().DEBUG = False\n",
                                "config.getOptions().VDEBUG = True\n",
                                "pr.render(\"tmp.pdf\")"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": null,
                        "id": "cbd599ab",
                        "metadata": {},
                        "outputs": [
                                {
                                        "name": "stdout",
                                        "output_type": "stream",
                                        "text": [
                                                "#objs = 0\n",
                                                "Object <class 'pyfeyn2.render.pyx.points.DecoratedPoint'> layer = 1 + 1000 = 1001\n",
                                                "#objs = 1\n",
                                                "Object <class 'pyfeyn2.render.pyx.points.DecoratedPoint'> layer = 2 + 1000 = 1002\n",
                                                "#objs = 2\n",
                                                "Object <class 'pyfeyn2.render.pyx.points.DecoratedPoint'> layer = 3 + 1000 = 1003\n",
                                                "#objs = 3\n",
                                                "Object <class 'pyfeyn2.render.pyx.points.DecoratedPoint'> layer = 4 + 1000 = 1004\n",
                                                "#objs = 4\n",
                                                "Object <class 'pyfeyn2.render.pyx.lines.Vector'> layer = 5 + 0 = 5\n",
                                                "Adding label: $g_1$\n",
                                                "Labels = [<pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce760>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cedc0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cee80>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ceee0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce1c0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce460>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce100>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d7f5b940>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1a00>]\n",
                                                "#objs = 5\n",
                                                "Object <class 'pyfeyn2.render.pyx.lines.Vector'> layer = 6 + 0 = 6\n",
                                                "Adding label: $g_2$\n",
                                                "Labels = [<pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce760>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cedc0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cee80>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ceee0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce1c0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce460>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce100>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d7f5b940>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1a00>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1820>]\n",
                                                "#objs = 6\n",
                                                "Object <class 'pyfeyn2.render.pyx.lines.Vector'> layer = 7 + 0 = 7\n",
                                                "Adding label: $g_3$\n",
                                                "Labels = [<pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce760>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cedc0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cee80>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ceee0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce1c0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce460>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce100>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d7f5b940>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1a00>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1820>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1460>]\n",
                                                "#objs = 7\n",
                                                "Object <class 'pyfeyn2.render.pyx.lines.Vector'> layer = 8 + 0 = 8\n",
                                                "Adding label: $g_4$\n",
                                                "Labels = [<pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce760>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cedc0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15cee80>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ceee0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce1c0>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce460>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66b15ce100>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d7f5b940>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1a00>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1820>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1460>, <pyfeyn2.render.pyx.deco.LineLabel object at 0x7f66d77e1070>]\n",
                                                "#objs = 8\n",
                                                "Object <class 'pyfeyn2.render.pyx.lines.Vector'> layer = 9 + 0 = 9\n",
                                                "Final #objs = 9\n",
                                                "Depth =  1002\n",
                                                "Depth =  1002\n",
                                                "Depth =  1004\n",
                                                "Depth =  1004\n",
                                                "Depth =  5\n",
                                                "Drawing <class 'pyfeyn2.render.pyx.lines.Vector'> with styles = []\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Depth =  6\n",
                                                "Drawing <class 'pyfeyn2.render.pyx.lines.Vector'> with styles = []\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Depth =  7\n",
                                                "Drawing <class 'pyfeyn2.render.pyx.lines.Vector'> with styles = []\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Depth =  8\n",
                                                "Drawing <class 'pyfeyn2.render.pyx.lines.Vector'> with styles = []\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Depth =  9\n",
                                                "Drawing <class 'pyfeyn2.render.pyx.lines.Vector'> with styles = []\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n"
                                        ]
                                },
                                {
                                        "name": "stdout",
                                        "output_type": "stream",
                                        "text": [
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n",
                                                "Displacement =  (0.000000 t + -0.005000 u + 0.000000 v + 0.000000 w + 0.000000 x) m\n"
                                        ]
                                }
                        ],
                        "source": [
                                "\n",
                                "pr = PyxRender(fd)\n",
                                "config.getOptions().VDEBUG = False\n",
                                "config.getOptions().DEBUG = True\n",
                                "pr.render(\"tmp.pdf\")"
                        ]
                },
                {
                        "cell_type": "code",
                        "execution_count": null,
                        "id": "8d9009aa",
                        "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": "3.9.16"
                }
        },
        "nbformat": 4,
        "nbformat_minor": 5
}