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alexarchambault/coursier-pr-1683.ipynb

Created April 30, 2020 11:45
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coursier-pr-1683.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How to run the benchmark\n",
"\n",
"Get data for the latest release (`master`):\n",
"```bash\n",
"$ sbt cli/pack # ensure master is checked-out before that\n",
"$ modules/cli/target/pack/bin/ resolve --checksum none org.apache.spark:spark-repl_2.12:2.4.4 -B -100 2>&1 | tee master\n",
"```\n",
"\n",
"Get data for the PR (`optim`):\n",
"```bash\n",
"$ sbt cli/pack # ensure #1677 is checked-out before that\n",
"$ modules/cli/target/pack/bin/coursier resolve --checksum none org.apache.spark:spark-repl_2.12:2.4.4 -B -100 2>&1 | tee optim\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div class=\"jp-RenderedText\">\n",
"<pre><code><span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">import </span></span><span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">java.nio.file._\n",
"</span></span>\n",
"<span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">import </span></span><span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">java.nio.charset.StandardCharsets\n",
"\n",
"</span></span>\n",
"defined <span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">function</span></span> <span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">load</span></span>\n",
"<span style=\"color: rgb(0, 187, 187)\"><span class=\"ansi-cyan-fg\">dir</span></span>: <span style=\"color: rgb(0, 187, 0)\"><span class=\"ansi-green-fg\">Path</span></span> = <style>@keyframes fadein { from { opacity: 0; } to { opacity: 1; } }</style><span style=\"animation: fadein 2s;\">/Users/alexandre/projects/coursier</span></code></pre>\n",
"</div>"
],
"text/plain": [
"\u001b[32mimport \u001b[39m\u001b[36mjava.nio.file._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mjava.nio.charset.StandardCharsets\n",
"\n",
"\u001b[39m\n",
"defined \u001b[32mfunction\u001b[39m \u001b[36mload\u001b[39m\n",
"\u001b[36mdir\u001b[39m: \u001b[32mPath\u001b[39m = /Users/alexandre/projects/coursier"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import java.nio.file._\n",
"import java.nio.charset.StandardCharsets\n",
"\n",
"private val drop = 20\n",
"\n",
"def load(file: Path): Seq[Int] = {\n",
" val input = new String(Files.readAllBytes(file), StandardCharsets.UTF_8)\n",
" input\n",
" .linesIterator\n",
" .map(_.trim)\n",
" .filter(_.endsWith(\" ms\"))\n",
" .map(_.stripSuffix(\" ms\"))\n",
" .drop(drop)\n",
" .map(_.toInt)\n",
" .toVector\n",
"}\n",
"\n",
"lazy val dir = Paths.get(\"/Users/alexandre/projects/coursier\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\u001b[32mimport \u001b[39m\u001b[36m$ivy.$ \n",
"\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.element._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.layout._\n",
"\u001b[39m\n",
"\u001b[32mimport \u001b[39m\u001b[36mplotly.Almond._\u001b[39m"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import $ivy.`org.plotly-scala::plotly-almond:0.7.4`\n",
"\n",
"import plotly._\n",
"import plotly.element._\n",
"import plotly.layout._\n",
"import plotly.Almond._"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
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",
"text/html": [
"<div class=\"chart\" id=\"plot-7011b141-e1e7-4006-b55f-249691f5e492\"></div>\n",
"<script>require(['plotly'], function(Plotly) {\n",
" (function () {\n",
" var data0 = {\"x\":[485.0,473.0,407.0,381.0,476.0,440.0,363.0,367.0,424.0,410.0,368.0,393.0,444.0,397.0,391.0,345.0,409.0,364.0,396.0,362.0,358.0,360.0,344.0,341.0,374.0,357.0,386.0,354.0,357.0,356.0,339.0,355.0,353.0,349.0,363.0,352.0,349.0,347.0,338.0,350.0,347.0,351.0,358.0,360.0,355.0,355.0,354.0,375.0,347.0,366.0,358.0,348.0,387.0,354.0,358.0,352.0,354.0,343.0,367.0,355.0,352.0,371.0,347.0,353.0,381.0,346.0,333.0,342.0,349.0,352.0,355.0,335.0,356.0,327.0,316.0,317.0,327.0,319.0,328.0,311.0,323.0,445.0,501.0,436.0,418.0,440.0,415.0,435.0,406.0,441.0,381.0,386.0,383.0,456.0,423.0,368.0,364.0,374.0,335.0,337.0,342.0,373.0,333.0,339.0,334.0,371.0,361.0,370.0,380.0,361.0,362.0,386.0,343.0,358.0,358.0,362.0,371.0,358.0,363.0,372.0,342.0,354.0,356.0,368.0,443.0,363.0,361.0,375.0,363.0,358.0,356.0,356.0,358.0,377.0,360.0,353.0,360.0,343.0,359.0,360.0,362.0,344.0,361.0,370.0,373.0,355.0,363.0,358.0,344.0,348.0,356.0,361.0,354.0,357.0,359.0,373.0,354.0,364.0,356.0,353.0,357.0,354.0,498.0,473.0,399.0,397.0,456.0,416.0,403.0,413.0,433.0,375.0,434.0,396.0,387.0,369.0,390.0,376.0,363.0,378.0,360.0,371.0,353.0,368.0,358.0,360.0,371.0,364.0,363.0,363.0,354.0,359.0,363.0,352.0,380.0,357.0,360.0,363.0,354.0,374.0,353.0,363.0,372.0,361.0,349.0,361.0,350.0,349.0,371.0,360.0,386.0,366.0,356.0,360.0,364.0,342.0,358.0,368.0,351.0,343.0,356.0,349.0,401.0,338.0,352.0,369.0,355.0,361.0,357.0,360.0,359.0,338.0,346.0,360.0,357.0,332.0,356.0,354.0,360.0,354.0,352.0,357.0,337.0,485.0,395.0,423.0,382.0,481.0,436.0,393.0,444.0,410.0,388.0,379.0,418.0,447.0,391.0,396.0,428.0,374.0,372.0,367.0,377.0,370.0,364.0,411.0,361.0,363.0,382.0,385.0,383.0,371.0,375.0,384.0,363.0,363.0,370.0,379.0,362.0,369.0,366.0,380.0,367.0,363.0,368.0,370.0,363.0,368.0,362.0,364.0,352.0,354.0,364.0,362.0,362.0,380.0,366.0,369.0,368.0,359.0,353.0,371.0,363.0,364.0,358.0,361.0,364.0,367.0,354.0,371.0,360.0,357.0,369.0,358.0,366.0,362.0,360.0,349.0,361.0,378.0,363.0,364.0,346.0,367.0,466.0,468.0,378.0,410.0,449.0,415.0,396.0,380.0,501.0,442.0,424.0,409.0,397.0,395.0,361.0,409.0,378.0,408.0,360.0,370.0,365.0,361.0,355.0,378.0,395.0,360.0,362.0,360.0,350.0,357.0,361.0,364.0,383.0,351.0,369.0,361.0,338.0,363.0,358.0,360.0,386.0,357.0,368.0,377.0,373.0,360.0,368.0,366.0,360.0,371.0,361.0,362.0,360.0,363.0,359.0,353.0,373.0,362.0,381.0,364.0,361.0,368.0,359.0,342.0,359.0,367.0,377.0,365.0,354.0,352.0,368.0,357.0,371.0,372.0,363.0,359.0,354.0,351.0,363.0,358.0,349.0,529.0,499.0,461.0,451.0,462.0,421.0,426.0,454.0,440.0,445.0,392.0,457.0,396.0,368.0,386.0,407.0,387.0,375.0,366.0,362.0,359.0,363.0,371.0,366.0,362.0,366.0,339.0,391.0,362.0,360.0,368.0,368.0,359.0,393.0,366.0,363.0,371.0,388.0,357.0,359.0,361.0,348.0,357.0,365.0,368.0,391.0,364.0,370.0,362.0,361.0,359.0,364.0,360.0,360.0,361.0,369.0,370.0,361.0,373.0,364.0,376.0,349.0,364.0,363.0,361.0,358.0,371.0,375.0,365.0,361.0,361.0,359.0,366.0,342.0,354.0,358.0,369.0,353.0,362.0,377.0,364.0],\"name\":\"res-optim\",\"type\":\"box\"};\n",
" var data1 = {\"x\":[443.0,460.0,372.0,394.0,435.0,432.0,369.0,468.0,408.0,364.0,360.0,395.0,367.0,357.0,364.0,405.0,392.0,364.0,359.0,351.0,349.0,342.0,371.0,350.0,357.0,345.0,342.0,343.0,343.0,345.0,349.0,354.0,342.0,353.0,340.0,348.0,337.0,345.0,344.0,347.0,357.0,336.0,348.0,348.0,344.0,347.0,346.0,349.0,344.0,348.0,374.0,336.0,349.0,351.0,337.0,346.0,346.0,333.0,345.0,392.0,349.0,355.0,341.0,350.0,342.0,347.0,350.0,342.0,347.0,344.0,349.0,340.0,324.0,343.0,349.0,345.0,349.0,317.0,345.0,352.0,335.0,462.0,419.0,392.0,473.0,456.0,445.0,404.0,395.0,501.0,398.0,432.0,384.0,371.0,351.0,365.0,361.0,345.0,357.0,377.0,351.0,347.0,351.0,340.0,343.0,364.0,352.0,345.0,348.0,345.0,338.0,345.0,345.0,340.0,350.0,347.0,350.0,341.0,347.0,347.0,340.0,353.0,349.0,346.0,343.0,363.0,340.0,340.0,349.0,348.0,337.0,348.0,341.0,341.0,347.0,347.0,332.0,346.0,348.0,343.0,340.0,342.0,343.0,348.0,334.0,341.0,341.0,346.0,342.0,339.0,354.0,339.0,342.0,341.0,348.0,336.0,348.0,348.0,322.0,338.0,347.0,317.0,465.0,451.0,369.0,392.0,479.0,372.0,370.0,405.0,349.0,328.0,347.0,388.0,372.0,346.0,349.0,414.0,348.0,377.0,348.0,375.0,336.0,342.0,343.0,332.0,337.0,342.0,354.0,318.0,317.0,308.0,311.0,318.0,313.0,314.0,318.0,337.0,314.0,310.0,314.0,308.0,311.0,312.0,319.0,317.0,326.0,306.0,317.0,324.0,310.0,314.0,324.0,308.0,318.0,311.0,326.0,315.0,311.0,316.0,328.0,312.0,321.0,318.0,314.0,313.0,329.0,314.0,313.0,318.0,311.0,319.0,306.0,312.0,311.0,348.0,323.0,364.0,310.0,317.0,313.0,331.0,314.0,422.0,502.0,414.0,373.0,411.0,383.0,357.0,435.0,462.0,407.0,393.0,391.0,363.0,356.0,340.0,456.0,394.0,353.0,388.0,342.0,340.0,341.0,341.0,371.0,348.0,336.0,343.0,331.0,332.0,346.0,347.0,362.0,343.0,345.0,361.0,351.0,338.0,331.0,354.0,350.0,374.0,359.0,349.0,343.0,385.0,350.0,359.0,348.0,332.0,342.0,383.0,340.0,351.0,346.0,333.0,333.0,333.0,311.0,326.0,320.0,328.0,324.0,319.0,308.0,314.0,312.0,312.0,317.0,315.0,316.0,316.0,317.0,316.0,313.0,318.0,306.0,331.0,370.0,338.0,339.0,338.0,558.0,473.0,376.0,373.0,387.0,405.0,323.0,413.0,450.0,449.0,351.0,401.0,358.0,361.0,351.0,335.0,374.0,354.0,394.0,378.0,343.0,344.0,339.0,338.0,344.0,341.0,350.0,340.0,340.0,340.0,325.0,334.0,347.0,340.0,380.0,335.0,340.0,341.0,337.0,347.0,354.0,368.0,345.0,380.0,321.0,321.0,316.0,314.0,330.0,316.0,312.0,320.0,339.0,315.0,318.0,336.0,338.0,353.0,353.0,331.0,346.0,346.0,368.0,348.0,342.0,337.0,345.0,326.0,328.0,343.0,344.0,335.0,335.0,339.0,335.0,342.0,324.0,339.0,359.0,354.0,340.0,478.0,479.0,363.0,374.0,361.0,374.0,383.0,343.0,378.0,363.0,332.0,315.0,386.0,363.0,335.0,327.0,331.0,313.0,323.0,344.0,317.0,318.0,325.0,311.0,320.0,317.0,336.0,336.0,316.0,317.0,331.0,319.0,318.0,323.0,318.0,346.0,317.0,323.0,318.0,321.0,316.0,319.0,313.0,334.0,322.0,313.0,321.0,321.0,312.0,351.0,343.0,328.0,354.0,355.0,351.0,360.0,353.0,324.0,343.0,343.0,352.0,355.0,349.0,351.0,343.0,356.0,341.0,346.0,379.0,353.0,419.0,336.0,348.0,383.0,348.0,340.0,332.0,347.0,340.0,357.0,328.0],\"name\":\"optim\",\"type\":\"box\"};\n",
" var data2 = {\"x\":[430.0,423.0,428.0,401.0,390.0,361.0,537.0,395.0,409.0,371.0,399.0,358.0,352.0,352.0,442.0,394.0,381.0,350.0,350.0,364.0,337.0,345.0,351.0,331.0,344.0,349.0,337.0,353.0,345.0,330.0,342.0,348.0,339.0,342.0,412.0,379.0,349.0,346.0,338.0,331.0,342.0,343.0,335.0,352.0,336.0,337.0,383.0,343.0,342.0,337.0,344.0,351.0,343.0,337.0,343.0,339.0,339.0,336.0,346.0,337.0,343.0,321.0,343.0,344.0,347.0,339.0,333.0,345.0,343.0,341.0,329.0,341.0,342.0,336.0,339.0,342.0,346.0,342.0,345.0,353.0,366.0,459.0,413.0,408.0,402.0,428.0,382.0,344.0,333.0,363.0,346.0,330.0,363.0,393.0,357.0,357.0,350.0,358.0,351.0,369.0,323.0,323.0,342.0,359.0,339.0,348.0,355.0,352.0,348.0,349.0,338.0,343.0,353.0,339.0,347.0,358.0,345.0,343.0,344.0,333.0,342.0,359.0,324.0,340.0,327.0,323.0,320.0,324.0,321.0,324.0,323.0,315.0,342.0,329.0,314.0,323.0,325.0,312.0,322.0,336.0,313.0,321.0,353.0,317.0,331.0,341.0,330.0,333.0,329.0,314.0,321.0,312.0,326.0,324.0,321.0,311.0,321.0,320.0,320.0,311.0,324.0,323.0,464.0,434.0,407.0,400.0,439.0,499.0,460.0,368.0,419.0,417.0,441.0,374.0,370.0,435.0,405.0,346.0,361.0,343.0,343.0,351.0,313.0,359.0,324.0,310.0,318.0,326.0,311.0,315.0,323.0,311.0,334.0,324.0,312.0,317.0,344.0,336.0,344.0,347.0,336.0,359.0,349.0,336.0,343.0,350.0,333.0,339.0,355.0,336.0,349.0,359.0,339.0,342.0,349.0,344.0,341.0,341.0,347.0,347.0,347.0,346.0,333.0,313.0,317.0,331.0,311.0,315.0,314.0,314.0,309.0,340.0,350.0,335.0,344.0,326.0,333.0,345.0,346.0,346.0,338.0,342.0,342.0,432.0,439.0,425.0,400.0,414.0,392.0,439.0,405.0,424.0,376.0,351.0,449.0,424.0,402.0,349.0,406.0,365.0,338.0,354.0,359.0,374.0,369.0,357.0,343.0,344.0,340.0,338.0,339.0,352.0,338.0,342.0,344.0,331.0,339.0,339.0,340.0,366.0,341.0,341.0,361.0,345.0,332.0,343.0,314.0,320.0,348.0,340.0,342.0,347.0,338.0,345.0,341.0,340.0,348.0,335.0,355.0,344.0,343.0,349.0,348.0,335.0,340.0,347.0,335.0,324.0,365.0,346.0,338.0,358.0,332.0,337.0,346.0,341.0,324.0,337.0,346.0,340.0,317.0,337.0,355.0,346.0,493.0,435.0,427.0,405.0,440.0,449.0,463.0,396.0,399.0,363.0,358.0,427.0,393.0,352.0,379.0,389.0,376.0,341.0,387.0,363.0,349.0,341.0,331.0,340.0,338.0,340.0,360.0,344.0,343.0,348.0,341.0,346.0,346.0,414.0,340.0,344.0,352.0,351.0,347.0,375.0,345.0,353.0,350.0,357.0,342.0,340.0,338.0,344.0,341.0,341.0,344.0,336.0,341.0,346.0,349.0,347.0,354.0,338.0,345.0,354.0,333.0,342.0,353.0,337.0,341.0,359.0,336.0,343.0,329.0,333.0,355.0,348.0,330.0,356.0,341.0,342.0,330.0,338.0,343.0,357.0,331.0,490.0,504.0,414.0,381.0,459.0,366.0,411.0,354.0,396.0,483.0,406.0,360.0,403.0,385.0,354.0,343.0,336.0,340.0,344.0,353.0,367.0,331.0,347.0,352.0,337.0,349.0,351.0,373.0,347.0,349.0,339.0,349.0,341.0,341.0,340.0,340.0,353.0,341.0,347.0,344.0,332.0,342.0,344.0,342.0,368.0,350.0,345.0,340.0,345.0,335.0,337.0,363.0,354.0,340.0,355.0,347.0,348.0,344.0,336.0,339.0,349.0,347.0,324.0,343.0,338.0,341.0,346.0,338.0,342.0,349.0,340.0,344.0,340.0,341.0,344.0,335.0,335.0,339.0,341.0,345.0,374.0],\"name\":\"master\",\"type\":\"box\"};\n",
"\n",
" var data = [data0, data1, data2];\n",
" var layout = {};\n",
"\n",
" Plotly.plot('plot-7011b141-e1e7-4006-b55f-249691f5e492', data, layout);\n",
"})();\n",
"});\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"private val dataSets = Seq(\n",
" \"master\" -> Seq(\n",
" \"master-103cf1cfc0\",\n",
" \"master-103cf1cfc0-2\",\n",
" \"master-103cf1cfc0-3\",\n",
" \"master-103cf1cfc0-4\",\n",
" \"master-103cf1cfc0-5\",\n",
" \"master-103cf1cfc0-6\"\n",
" ),\n",
" \"optim\" -> Seq(\n",
" \"optim-9a2e58c7fe\",\n",
" \"optim-9a2e58c7fe-2\",\n",
" \"optim-9a2e58c7fe-3\",\n",
" \"optim-9a2e58c7fe-4\",\n",
" \"optim-9a2e58c7fe-5\",\n",
" \"optim-9a2e58c7fe-6\"\n",
" ),\n",
" \"res-optim\" -> Seq(\n",
" \"optim-787334ba67-1\",\n",
" \"optim-787334ba67-2\",\n",
" \"optim-787334ba67-3\",\n",
" \"optim-787334ba67-4\",\n",
" \"optim-787334ba67-5\",\n",
" \"optim-787334ba67-6\"\n",
" )\n",
")\n",
"\n",
"private def data = dataSets.map {\n",
" case (id, names) =>\n",
" val data = names.flatMap(name => load(dir.resolve(name)))\n",
" Box(x = data, name = id)\n",
"}\n",
"\n",
"{ data.reverse.plot(); () }"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" (function () {\n",
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" var data3 = {\"x\":[498.0,473.0,399.0,397.0,456.0,416.0,403.0,413.0,433.0,375.0,434.0,396.0,387.0,369.0,390.0,376.0,363.0,378.0,360.0,371.0,353.0,368.0,358.0,360.0,371.0,364.0,363.0,363.0,354.0,359.0,363.0,352.0,380.0,357.0,360.0,363.0,354.0,374.0,353.0,363.0,372.0,361.0,349.0,361.0,350.0,349.0,371.0,360.0,386.0,366.0,356.0,360.0,364.0,342.0,358.0,368.0,351.0,343.0,356.0,349.0,401.0,338.0,352.0,369.0,355.0,361.0,357.0,360.0,359.0,338.0,346.0,360.0,357.0,332.0,356.0,354.0,360.0,354.0,352.0,357.0,337.0],\"name\":\"optim-787334ba67-3\",\"type\":\"box\"};\n",
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" var data5 = {\"x\":[485.0,473.0,407.0,381.0,476.0,440.0,363.0,367.0,424.0,410.0,368.0,393.0,444.0,397.0,391.0,345.0,409.0,364.0,396.0,362.0,358.0,360.0,344.0,341.0,374.0,357.0,386.0,354.0,357.0,356.0,339.0,355.0,353.0,349.0,363.0,352.0,349.0,347.0,338.0,350.0,347.0,351.0,358.0,360.0,355.0,355.0,354.0,375.0,347.0,366.0,358.0,348.0,387.0,354.0,358.0,352.0,354.0,343.0,367.0,355.0,352.0,371.0,347.0,353.0,381.0,346.0,333.0,342.0,349.0,352.0,355.0,335.0,356.0,327.0,316.0,317.0,327.0,319.0,328.0,311.0,323.0],\"name\":\"optim-787334ba67-1\",\"type\":\"box\"};\n",
" var data6 = {\"x\":[478.0,479.0,363.0,374.0,361.0,374.0,383.0,343.0,378.0,363.0,332.0,315.0,386.0,363.0,335.0,327.0,331.0,313.0,323.0,344.0,317.0,318.0,325.0,311.0,320.0,317.0,336.0,336.0,316.0,317.0,331.0,319.0,318.0,323.0,318.0,346.0,317.0,323.0,318.0,321.0,316.0,319.0,313.0,334.0,322.0,313.0,321.0,321.0,312.0,351.0,343.0,328.0,354.0,355.0,351.0,360.0,353.0,324.0,343.0,343.0,352.0,355.0,349.0,351.0,343.0,356.0,341.0,346.0,379.0,353.0,419.0,336.0,348.0,383.0,348.0,340.0,332.0,347.0,340.0,357.0,328.0],\"name\":\"optim-9a2e58c7fe-6\",\"type\":\"box\"};\n",
" var data7 = {\"x\":[558.0,473.0,376.0,373.0,387.0,405.0,323.0,413.0,450.0,449.0,351.0,401.0,358.0,361.0,351.0,335.0,374.0,354.0,394.0,378.0,343.0,344.0,339.0,338.0,344.0,341.0,350.0,340.0,340.0,340.0,325.0,334.0,347.0,340.0,380.0,335.0,340.0,341.0,337.0,347.0,354.0,368.0,345.0,380.0,321.0,321.0,316.0,314.0,330.0,316.0,312.0,320.0,339.0,315.0,318.0,336.0,338.0,353.0,353.0,331.0,346.0,346.0,368.0,348.0,342.0,337.0,345.0,326.0,328.0,343.0,344.0,335.0,335.0,339.0,335.0,342.0,324.0,339.0,359.0,354.0,340.0],\"name\":\"optim-9a2e58c7fe-5\",\"type\":\"box\"};\n",
" var data8 = {\"x\":[422.0,502.0,414.0,373.0,411.0,383.0,357.0,435.0,462.0,407.0,393.0,391.0,363.0,356.0,340.0,456.0,394.0,353.0,388.0,342.0,340.0,341.0,341.0,371.0,348.0,336.0,343.0,331.0,332.0,346.0,347.0,362.0,343.0,345.0,361.0,351.0,338.0,331.0,354.0,350.0,374.0,359.0,349.0,343.0,385.0,350.0,359.0,348.0,332.0,342.0,383.0,340.0,351.0,346.0,333.0,333.0,333.0,311.0,326.0,320.0,328.0,324.0,319.0,308.0,314.0,312.0,312.0,317.0,315.0,316.0,316.0,317.0,316.0,313.0,318.0,306.0,331.0,370.0,338.0,339.0,338.0],\"name\":\"optim-9a2e58c7fe-4\",\"type\":\"box\"};\n",
" var data9 = {\"x\":[465.0,451.0,369.0,392.0,479.0,372.0,370.0,405.0,349.0,328.0,347.0,388.0,372.0,346.0,349.0,414.0,348.0,377.0,348.0,375.0,336.0,342.0,343.0,332.0,337.0,342.0,354.0,318.0,317.0,308.0,311.0,318.0,313.0,314.0,318.0,337.0,314.0,310.0,314.0,308.0,311.0,312.0,319.0,317.0,326.0,306.0,317.0,324.0,310.0,314.0,324.0,308.0,318.0,311.0,326.0,315.0,311.0,316.0,328.0,312.0,321.0,318.0,314.0,313.0,329.0,314.0,313.0,318.0,311.0,319.0,306.0,312.0,311.0,348.0,323.0,364.0,310.0,317.0,313.0,331.0,314.0],\"name\":\"optim-9a2e58c7fe-3\",\"type\":\"box\"};\n",
" var data10 = {\"x\":[462.0,419.0,392.0,473.0,456.0,445.0,404.0,395.0,501.0,398.0,432.0,384.0,371.0,351.0,365.0,361.0,345.0,357.0,377.0,351.0,347.0,351.0,340.0,343.0,364.0,352.0,345.0,348.0,345.0,338.0,345.0,345.0,340.0,350.0,347.0,350.0,341.0,347.0,347.0,340.0,353.0,349.0,346.0,343.0,363.0,340.0,340.0,349.0,348.0,337.0,348.0,341.0,341.0,347.0,347.0,332.0,346.0,348.0,343.0,340.0,342.0,343.0,348.0,334.0,341.0,341.0,346.0,342.0,339.0,354.0,339.0,342.0,341.0,348.0,336.0,348.0,348.0,322.0,338.0,347.0,317.0],\"name\":\"optim-9a2e58c7fe-2\",\"type\":\"box\"};\n",
" var data11 = {\"x\":[443.0,460.0,372.0,394.0,435.0,432.0,369.0,468.0,408.0,364.0,360.0,395.0,367.0,357.0,364.0,405.0,392.0,364.0,359.0,351.0,349.0,342.0,371.0,350.0,357.0,345.0,342.0,343.0,343.0,345.0,349.0,354.0,342.0,353.0,340.0,348.0,337.0,345.0,344.0,347.0,357.0,336.0,348.0,348.0,344.0,347.0,346.0,349.0,344.0,348.0,374.0,336.0,349.0,351.0,337.0,346.0,346.0,333.0,345.0,392.0,349.0,355.0,341.0,350.0,342.0,347.0,350.0,342.0,347.0,344.0,349.0,340.0,324.0,343.0,349.0,345.0,349.0,317.0,345.0,352.0,335.0],\"name\":\"optim-9a2e58c7fe\",\"type\":\"box\"};\n",
" var data12 = {\"x\":[490.0,504.0,414.0,381.0,459.0,366.0,411.0,354.0,396.0,483.0,406.0,360.0,403.0,385.0,354.0,343.0,336.0,340.0,344.0,353.0,367.0,331.0,347.0,352.0,337.0,349.0,351.0,373.0,347.0,349.0,339.0,349.0,341.0,341.0,340.0,340.0,353.0,341.0,347.0,344.0,332.0,342.0,344.0,342.0,368.0,350.0,345.0,340.0,345.0,335.0,337.0,363.0,354.0,340.0,355.0,347.0,348.0,344.0,336.0,339.0,349.0,347.0,324.0,343.0,338.0,341.0,346.0,338.0,342.0,349.0,340.0,344.0,340.0,341.0,344.0,335.0,335.0,339.0,341.0,345.0,374.0],\"name\":\"master-103cf1cfc0-6\",\"type\":\"box\"};\n",
" var data13 = {\"x\":[493.0,435.0,427.0,405.0,440.0,449.0,463.0,396.0,399.0,363.0,358.0,427.0,393.0,352.0,379.0,389.0,376.0,341.0,387.0,363.0,349.0,341.0,331.0,340.0,338.0,340.0,360.0,344.0,343.0,348.0,341.0,346.0,346.0,414.0,340.0,344.0,352.0,351.0,347.0,375.0,345.0,353.0,350.0,357.0,342.0,340.0,338.0,344.0,341.0,341.0,344.0,336.0,341.0,346.0,349.0,347.0,354.0,338.0,345.0,354.0,333.0,342.0,353.0,337.0,341.0,359.0,336.0,343.0,329.0,333.0,355.0,348.0,330.0,356.0,341.0,342.0,330.0,338.0,343.0,357.0,331.0],\"name\":\"master-103cf1cfc0-5\",\"type\":\"box\"};\n",
" var data14 = {\"x\":[432.0,439.0,425.0,400.0,414.0,392.0,439.0,405.0,424.0,376.0,351.0,449.0,424.0,402.0,349.0,406.0,365.0,338.0,354.0,359.0,374.0,369.0,357.0,343.0,344.0,340.0,338.0,339.0,352.0,338.0,342.0,344.0,331.0,339.0,339.0,340.0,366.0,341.0,341.0,361.0,345.0,332.0,343.0,314.0,320.0,348.0,340.0,342.0,347.0,338.0,345.0,341.0,340.0,348.0,335.0,355.0,344.0,343.0,349.0,348.0,335.0,340.0,347.0,335.0,324.0,365.0,346.0,338.0,358.0,332.0,337.0,346.0,341.0,324.0,337.0,346.0,340.0,317.0,337.0,355.0,346.0],\"name\":\"master-103cf1cfc0-4\",\"type\":\"box\"};\n",
" var data15 = {\"x\":[464.0,434.0,407.0,400.0,439.0,499.0,460.0,368.0,419.0,417.0,441.0,374.0,370.0,435.0,405.0,346.0,361.0,343.0,343.0,351.0,313.0,359.0,324.0,310.0,318.0,326.0,311.0,315.0,323.0,311.0,334.0,324.0,312.0,317.0,344.0,336.0,344.0,347.0,336.0,359.0,349.0,336.0,343.0,350.0,333.0,339.0,355.0,336.0,349.0,359.0,339.0,342.0,349.0,344.0,341.0,341.0,347.0,347.0,347.0,346.0,333.0,313.0,317.0,331.0,311.0,315.0,314.0,314.0,309.0,340.0,350.0,335.0,344.0,326.0,333.0,345.0,346.0,346.0,338.0,342.0,342.0],\"name\":\"master-103cf1cfc0-3\",\"type\":\"box\"};\n",
" var data16 = {\"x\":[459.0,413.0,408.0,402.0,428.0,382.0,344.0,333.0,363.0,346.0,330.0,363.0,393.0,357.0,357.0,350.0,358.0,351.0,369.0,323.0,323.0,342.0,359.0,339.0,348.0,355.0,352.0,348.0,349.0,338.0,343.0,353.0,339.0,347.0,358.0,345.0,343.0,344.0,333.0,342.0,359.0,324.0,340.0,327.0,323.0,320.0,324.0,321.0,324.0,323.0,315.0,342.0,329.0,314.0,323.0,325.0,312.0,322.0,336.0,313.0,321.0,353.0,317.0,331.0,341.0,330.0,333.0,329.0,314.0,321.0,312.0,326.0,324.0,321.0,311.0,321.0,320.0,320.0,311.0,324.0,323.0],\"name\":\"master-103cf1cfc0-2\",\"type\":\"box\"};\n",
" var data17 = {\"x\":[430.0,423.0,428.0,401.0,390.0,361.0,537.0,395.0,409.0,371.0,399.0,358.0,352.0,352.0,442.0,394.0,381.0,350.0,350.0,364.0,337.0,345.0,351.0,331.0,344.0,349.0,337.0,353.0,345.0,330.0,342.0,348.0,339.0,342.0,412.0,379.0,349.0,346.0,338.0,331.0,342.0,343.0,335.0,352.0,336.0,337.0,383.0,343.0,342.0,337.0,344.0,351.0,343.0,337.0,343.0,339.0,339.0,336.0,346.0,337.0,343.0,321.0,343.0,344.0,347.0,339.0,333.0,345.0,343.0,341.0,329.0,341.0,342.0,336.0,339.0,342.0,346.0,342.0,345.0,353.0,366.0],\"name\":\"master-103cf1cfc0\",\"type\":\"box\"};\n",
"\n",
" var data = [data0, data1, data2, data3, data4, data5, data6, data7, data8, data9, data10, data11, data12, data13, data14, data15, data16, data17];\n",
" var layout = {};\n",
"\n",
" Plotly.plot('plot-81dc1a3a-ca68-4816-af98-3529377ea8a7', data, layout);\n",
"})();\n",
"});\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"private val dataSetNames = Seq(\n",
" \"master-103cf1cfc0\",\n",
" \"master-103cf1cfc0-2\",\n",
" \"master-103cf1cfc0-3\",\n",
" \"master-103cf1cfc0-4\",\n",
" \"master-103cf1cfc0-5\",\n",
" \"master-103cf1cfc0-6\",\n",
" \"optim-9a2e58c7fe\",\n",
" \"optim-9a2e58c7fe-2\",\n",
" \"optim-9a2e58c7fe-3\",\n",
" \"optim-9a2e58c7fe-4\",\n",
" \"optim-9a2e58c7fe-5\",\n",
" \"optim-9a2e58c7fe-6\",\n",
" \"optim-787334ba67-1\",\n",
" \"optim-787334ba67-2\",\n",
" \"optim-787334ba67-3\",\n",
" \"optim-787334ba67-4\",\n",
" \"optim-787334ba67-5\",\n",
" \"optim-787334ba67-6\"\n",
")\n",
"\n",
"private def data = dataSetNames.map { name =>\n",
" val data = load(dir.resolve(name))\n",
" Box(x = data, name = name)\n",
"}\n",
"\n",
"{ data.reverse.plot(); () }"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Scala",
"language": "scala",
"name": "scala"
},
"language_info": {
"codemirror_mode": "text/x-scala",
"file_extension": ".scala",
"mimetype": "text/x-scala",
"name": "scala",
"nbconvert_exporter": "script",
"version": "2.13.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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