{ "cells": [ { "cell_type": "markdown", "id": "b9944f18", "metadata": {}, "source": [ "# gaugino" ] }, { "cell_type": "code", "execution_count": null, "id": "8bd64d14", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 1, "id": "4d0e1a81", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Pyx:\n" ] }, { "data": { "image/png": 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", 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lOnRpbWVzdGFtcAAyMDIyLTEyLTA5VDE5OjE4OjM5KzAwOjAwG/gz4gAAAC10RVh0aWNjOmNvcHlyaWdodABDb3B5cmlnaHQgQXJ0aWZleCBTb2Z0d2FyZSAyMDExCLrFtAAAADF0RVh0aWNjOmRlc2NyaXB0aW9uAEFydGlmZXggU29mdHdhcmUgc1JHQiBJQ0MgUHJvZmlsZRMMAYYAAAATdEVYdHBkZjpWZXJzaW9uAFBERi0xLjVTNlrBAAAASnRFWHRzaWduYXR1cmUAZjEyY2Q2ZWE4MWQ3NWI3NDIyM2M5ZTNlODU1OTgyYzMxNmVkMGJlMWJhMDIwYTI3MGIzZjkzNGU1YTRhZTUwMZza5oUAAAAASUVORK5CYII=", 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jOmNvcHlyaWdodABDb3B5cmlnaHQgQXJ0aWZleCBTb2Z0d2FyZSAyMDExCLrFtAAAADF0RVh0aWNjOmRlc2NyaXB0aW9uAEFydGlmZXggU29mdHdhcmUgc1JHQiBJQ0MgUHJvZmlsZRMMAYYAAAATdEVYdHBkZjpWZXJzaW9uAFBERi0xLjVTNlrBAAAASnRFWHRzaWduYXR1cmUANDlmZWYxZGY3MTBjNzY5MTI0MzgxYjE5ZDlmMTRjNzZkNzExNGRkYzJhMTk0NjgyMWJjMWJiMmE3M2FmOWUyZPE1Wg0AAAAASUVORK5CYII=", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Dot:\n", "Dot failed: 'gaugino'\n", "Traceback (most recent call last):\n", " File \"/home/apn/data/de.neuwirthinformatik.Alexander/Development/git/pyfeyn2/pyfeyn2/render/all.py\", line 90, in render\n", " DotRender(fd).render(dirpath + \"/dot.pdf\", **dynarg)\n", " File \"/home/apn/data/de.neuwirthinformatik.Alexander/Development/git/pyfeyn2/pyfeyn2/render/dot.py\", line 115, in __init__\n", " self.set_feynman_diagram(fd)\n", " File \"/home/apn/data/de.neuwirthinformatik.Alexander/Development/git/pyfeyn2/pyfeyn2/render/dot.py\", line 119, in set_feynman_diagram\n", " self.src_dot = feynman_to_dot(fd)\n", " File \"/home/apn/data/de.neuwirthinformatik.Alexander/Development/git/pyfeyn2/pyfeyn2/render/dot.py\", line 74, in feynman_to_dot\n", " src += 'edge [style=\"{}\"];\\n'.format(map_feyn_to_tikz[l.type])\n", "KeyError: 'gaugino'\n", "\n", "ASCIIPDF:\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "MPL:\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pyfeyn2.render.all import AllRender\n", "ar = AllRender().demo_propagator(\"gaugino\")" ] }, { "cell_type": "code", "execution_count": null, "id": "1a72200f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.16 64-bit", "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" }, "vscode": { "interpreter": { "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" } } }, "nbformat": 4, "nbformat_minor": 5 }