65 lines
28 KiB
Ruby
65 lines
28 KiB
Ruby
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require 'ipynbdiff'
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require 'benchmark'
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require 'benchmark/memory'
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require_relative 'test_helper'
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large_cell = '{
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"cell_type": "code",
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"execution_count": 9,
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"id": "24f32781-48bf-4378-b30c-ccdce7b05ba0",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABj0AAAHwCAYAAAD91q10AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAA9hAAAPYQGoP6dpAABPSUlEQVR4nO39eZCfd34f+L2fxkmAAAiCBO/7PobHkCAxIEjcV/eWHTl/yOVKvFaloo3kTZXjlKUa2bVS4tiyna2JElmudaUqK+0m9m4ceVVxutEAiIMXeIEEObyG4PC+QPAEQIA4+8kfD1pf/DgkhwC78XT/+vWqYmHQnybxLml6COCNz/dT1XUdAAAAAACA8a6n7QAAAAAAAAAjQekBAAAAAAB0BaUHAAAAAADQFZQeAAAAAABAV1B6AAAAAAAAXUHpAQAAAAAAdAWlBwAAAAAA0BUmtx3g66qqqpJcnGR/21kAAAAAAIAxYVaSD+q6rr/rk8Zc6ZGm8Hiv7RAAAAAAAMCYcmmS97/rE8Zi6bE/Sd59993Mnj277SwAAAAAAECL9u3bl8suuyz5Hi9EjcXSI0kye/ZspQcAAAAAAPC9OWQOAAAAAAB0BaUHAAAAAADQFZQeAAAAAABAV1B6AAAAAAAAXUHpAQAAAAAAdAWlBwAAAAAA0BWUHgAAAAAAQFdQegAAAAAAAF1B6QEAAAAAAHQFpQcAAAAAANAVlB4AAAAAAEBXUHoAAAAAAABdQekBAAAAAAB0BaUHAAAAAADQFZQeAAAAAABAV1B6AAAAAAAAXeGUSo+qqn5aVdXTVVXtr6pqT1VVf1VV1Q1f+5w/r6qq/tpfT4xsbAAAAAAA6DKffJJs2dJ2inFt8il+/pIkf5bk6RN/7z9LsrGqqpvruj5w0ucNJvmtk75/5AelBAAAAACAblPXyXPPJf39ycBA8sQTyfTpyaefJmed1Xa6cemUSo+6rtee/P2qqn4ryZ4kdyV5+KTR4bqud//weAAAAAAA0EX27082by5FxwcfdM6vvz55773kuuvayTfOneqmx9fNOfHtZ1/7+NKqqvYk+SLJQ0n+cV3Xe77pH1BV1bQk00760KwfmAkAAAAAAMaO115rSo7+/uThh5MjJz2ONGNGsnJl0teX9PYml17aXs4ucNqlR1VVVZKfJXm0rusXTxqtT/Ifkryd5Kok/zTJlqqq7qrr+vA3/KN+muQPTzcHAAAAAACMKYcPN+XG8DbHa691zq+5pik5+vqSBx5onrRiRFR1XZ/e31hVf5akL8niuq7f+47PuyhNAfK367r+j98w/6ZNj/f27t2b2bNnn1Y2AAAAAAA4o95/vyk4BgaSTZuSAyedwZ4ypSk3enubouP665Oqai/rOLNv377MmTMnSebUdb3vuz73tDY9qqr60yR/I8kD31V4JEld1x9WVfV2km98gOzE9sdfb4BU/h8NAAAAAMBYd/x48tRT5dmq557rnF94YSk5Vq5M/CH/M+KUSo8TT1r9aZLfSLK0rus3v8ffMy/JZUk+PK2EAAAAAAAwFnz2WbJhQ1NyDA4mn35aZlWV3HNPebbqjjuSnp7Wok5Up7rp8WdJ/k6Sv5lkf1VVF574+N66rr+qqursJH+U5C/TlBxXJvnnST5J8j+NRGAAAAAAADgj6jp54YXmyar+/mT79mRoqMznzEnWrGlKjrVrk/nz28tKklMvPX7nxLfbvvbx30ry50mOJ/lRkr+b5Jw0xcfWJL9Z1/X+0w0JAAAAAABnxIEDyZYt5Qj5u+92zm+5pWxzLFqUTD6tKxKMklP6/0Zd1995cKOu66+SrPlBiQAAAAAA4Ex6441ym2PbtuTw4TKbPj1ZsaIpOXp7kyuuaC0mv54KCgAAAACAieXo0eTRR0vR8YtfdM6vuKJscyxblpx1Vjs5OWVKDwAAAAAAut/u3cn69U3JsWlTsm9fmU2alCxeXIqOm25qDpMz7ig9AAAAAADoPkNDyY4d5Qj5jh2d8/PPb56r6u1NVq9OzjmnlZiMLKUHAAAAAADdYe/eZOPGpuRYvz7Zs6dzfvfdTcnR19f8556ednIyapQeAAAAAACMT3WdvPJKU3IMDDR3Oo4dK/NZs5otjr6+ZN265MIL28vKGaH0AAAAAABg/Pjqq2TbtnKE/K23Ouc33lhuc9x3XzJ1ahspaYnSAwAAAACAse2dd8o2x+bNTfExbNq0ZNmy8mzV1Ve3l5PWKT0AAAAAABhbjh1LHn+8bHO8+GLn/NJLyzbH8uXJzJnt5GTMUXoAAAAAANC+jz9OBgebkmPDhuSLL8qspydZtKgUHbfemlRVa1EZu5QeAAAAAACceXWd7NxZtjmeeqr52LB585K1a5uSY82a5Nxz28vKuKH0AAAAAADgzNi/P9m0qbnNMTCQfPhh5/yOO8o2xz33JJMmtRKT8UvpAQAAAADA6Nm1q2xzPPxwcvRomc2cmaxa1ZQc69Yll1zSXk66gtIDAAAAAICRc/hw8tBDTckxMJD88ped82uvLdscDzyQTJvWTk66ktIDAAAAAIAf5v33m4Kjvz958MHkwIEymzIlWbKkFB3XXddeTrqe0gMAAAAAgFNz/Hjy5JPl2arnn++cX3RR0tvblBwrVyazZrWTkwlH6QEAAAAAwK/32WfJ4GBTcgwONt8fVlXJvfeWbY477mg+BmeY0gMAAAAAgF9V18kLL5RtjscfT4aGyvycc5K1a5uNjrVrk/PPby0qDFN6AAAAAADQOHAg2by5HCF/773O+a23lm2On/wkmey3mBlb/DcSAAAAAGAie/31coR827bk8OEyO+usZMWKZpujtze54orWYsL3ofQAAAAAAJhIjhxJHn20PFv16qud8yuvLNscS5c2xQeME0oPAAAAAIBut3t3s80xMJBs3Jjs319mkycnixeXouPGGx0hZ9xSegAAAAAAdJuhoWTHjrLN8cwznfP588uTVatXJ3PmtJMTRpjSAwAAAACgG3zxRbPFMTCQrF+f7NnTOb/77rLNcdddSU9PKzFhNCk9AAAAAADGo7pOXnmlbHM8+mhy/HiZz57dbHH09ibr1iUXXtheVjhDlB4AAAAAAOPFV18lW7c2JcfAQPLWW53zG28s2xz33ZdMndpKTGiL0gMAAAAAYCx7++1ScmzZ0hQfw6ZNS5Yta7Y5+vqSq69uLyeMAUoPAAAAAICx5NixZPv28mzVSy91zi+9tGxzLF+ezJzZTk4Yg5QeAAAAAABt+/jj5vh4f3+yYUOyd2+Z9fQkixaVouPWW5Oqai8rjGFKDwAAAACAM21oKNm5s2xzPP10c5h82Lx5zfHxvr7mGPm557aXFcYRpQcAAAAAwJmwb1/y4IPlPsfu3Z3zO+8stznuuSeZNKmdnDCOKT0AAAAAAEZDXSe7dpVtjkceSY4eLfOZM5NVq5qSo7c3ufji9rJCl1B6AAAAAACMlEOHkoceKtscr7/eOb/uunKb4/77k2nT2skJXUrpAQAAAADwQ7z3XlNw9Pc3z1cdPFhmU6cmS5aUZ6uuu669nDABKD0AAAAAAE7F8ePJE0+UZ6t+/vPO+cUXl5Jj5crk7LPbyQkTkNIDAAAAAODX+fTTZHCw2egYHEw++6zMqipZuLA8W3X77c3HgDNO6QEAAAAA8HV13WxwDG9zPPFEMjRU5nPnJmvXNhsda9cm553XXlbgryk9AAAAAACS5Msvk82bm22OgYHmVsfJfvSjss2xcGEy2W+vwljjqxIAAAAAmLhef71sc2zblhw5UmZnndXc5Ojtbf66/PLWYgLfj9IDAAAAAJg4jhxJHnmkFB27dnXOr7qqbHMsXZpMn95KTOD0KD0AAAAAgO724YflyapNm5L9+8ts8uTk/vubTY6+vuTGGx0hh3FM6QEAAAAAdJehoeTpp8s2x7PPds7nzy8lx6pVyZw57eQERpzSAwAAAAAY/774ItmwoSk5BgeTjz/unC9Y0JQcvb3JXXclPT2txARGl9IDAAAAABh/6jp56aXmyar+/uSxx5Ljx8t89uxk9eqm6Fi3LrnggvayAmeM0gMAAAAAGB8OHky2b
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"text/plain": [
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"<Figure size 2000x600 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"do_plot(is_sin = False)"
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]
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},'
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base = '{
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"cells": [
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<<>>{
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"cell_type": "markdown",
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"id": "1",
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"metadata": {
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"tags": [
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"hello",
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"world"
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]
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},
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"source": [
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"# A\n",
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"\n",
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"B"
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]
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}
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],
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"metadata": {
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}
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}'
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SMALL_NOTEBOOK = base.gsub('<<>>', large_cell)
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LARGE_NOTEBOOK = base.gsub('<<>>', Array.new(100, large_cell).join("\n"))
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puts "Small Notebook: #{SMALL_NOTEBOOK.bytesize}"
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puts "Large Notebook: #{LARGE_NOTEBOOK.bytesize}"
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def cases(benchmark_runner)
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benchmark_runner.report('small_notebook') { IpynbDiff.transform(SMALL_NOTEBOOK) }
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benchmark_runner.report('large_notebook') { IpynbDiff.transform(LARGE_NOTEBOOK) }
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end
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Benchmark.benchmark { |x| cases(x) }
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Benchmark.memory { |x| cases(x) }
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