173 lines
51 KiB
Plaintext
173 lines
51 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# Playground\n",
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"This is a playground for testing things like the Gitea MD syntax"
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],
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"metadata": {
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"collapsed": false
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}
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"start_time": "2023-04-09T16:55:57.143918Z",
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"end_time": "2023-04-09T16:56:00.513705Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/html": " <div id=\"jIvOiD\"></div>\n <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n if(!window.letsPlotCallQueue) {\n window.letsPlotCallQueue = [];\n }; \n window.letsPlotCall = function(f) {\n window.letsPlotCallQueue.push(f);\n };\n (function() {\n var script = document.createElement(\"script\");\n script.type = \"text/javascript\";\n script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v3.0.0/js-package/distr/lets-plot.min.js\";\n script.onload = function() {\n window.letsPlotCall = function(f) {f();};\n window.letsPlotCallQueue.forEach(function(f) {f();});\n window.letsPlotCallQueue = [];\n \n \n };\n script.onerror = function(event) {\n window.letsPlotCall = function(f) {};\n window.letsPlotCallQueue = [];\n var div = document.createElement(\"div\");\n div.style.color = 'darkred';\n div.textContent = 'Error loading Lets-Plot JS';\n document.getElementById(\"jIvOiD\").appendChild(div);\n };\n var e = document.getElementById(\"jIvOiD\");\n e.appendChild(script);\n })();\n </script>"
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},
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"metadata": {},
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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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"%use lets-plot"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"outputs": [],
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"source": [
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"val data = mapOf(\n",
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" \"cat1\" to listOf(\"a\", \"a\", \"b\", \"a\", \"a\", \"a\", \"a\", \"b\", \"b\", \"b\", \"b\"),\n",
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" \"cat2\" to listOf(\"c\", \"c\", \"d\", \"d\", \"d\", \"c\", \"c\", \"d\", \"c\", \"c\", \"d\")\n",
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")\n",
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"val p = letsPlot(data)"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"start_time": "2023-04-09T16:56:00.512889Z",
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"end_time": "2023-04-09T16:56:00.606630Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"outputs": [
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{
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"data": {
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"text/html": " <div id=\"SRcLIA\"></div>\n <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n (function() {\n var plotSpec={\n\"mapping\":{\n},\n\"data\":{\n},\n\"kind\":\"plot\",\n\"scales\":[],\n\"layers\":[{\n\"mapping\":{\n\"x\":\"cat1\",\n\"fill\":\"cat2\"\n},\n\"stat\":\"count\",\n\"position\":\"stack\",\n\"geom\":\"bar\",\n\"data\":{\n\"cat2\":[\"c\",\"c\",\"d\",\"d\"],\n\"cat1\":[\"a\",\"b\",\"b\",\"a\"],\n\"..count..\":[4.0,2.0,3.0,2.0]\n}\n}]\n};\n var plotContainer = document.getElementById(\"SRcLIA\");\n window.letsPlotCall(function() {{\n LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n }});\n })(); \n </script>"
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"val layer = geomBar {\n",
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" x = \"cat1\"\n",
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" fill = \"cat2\"\n",
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"}\n",
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"\n",
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"(p + layer)"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"start_time": "2023-04-09T16:56:00.606184Z",
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"end_time": "2023-04-09T16:56:00.689800Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"outputs": [],
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"source": [
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"val rand = java.util.Random(1024)\n",
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"val data = mapOf (\n",
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" \"rating\" to List(200) { rand.nextGaussian() } + List(200) { rand.nextGaussian() * 1.5 + 1.5 },\n",
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" \"cond\" to List(200) { \"A\" } + List(200) { \"B\" }\n",
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")\n",
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"var p = letsPlot(data)"
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],
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"metadata": {
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"collapsed": false,
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"ExecuteTime": {
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"start_time": "2023-04-09T16:56:00.678339Z",
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"end_time": "2023-04-09T16:56:00.787205Z"
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}
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}
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"outputs": [
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{
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"data": {
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"text/html": " <div id=\"pMT6Qu\"></div>\n <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n (function() {\n var 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var plotContainer = document.getElementById(\"pMT6Qu\");\n window.letsPlotCall(function() {{\n LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n }});\n })(); \n </script>"
|
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},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"p += geomDensity(color=\"dark_green\", alpha=.3) {x=\"rating\"; fill=\"cond\"}\n",
|
|
"p + ggsize(700, 350)"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"ExecuteTime": {
|
|
"start_time": "2023-04-09T16:56:00.786558Z",
|
|
"end_time": "2023-04-09T16:56:00.886846Z"
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "87"
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"12 + 75"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"ExecuteTime": {
|
|
"start_time": "2023-04-09T16:56:00.879881Z",
|
|
"end_time": "2023-04-09T16:56:00.948068Z"
|
|
}
|
|
}
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Kotlin",
|
|
"language": "kotlin",
|
|
"name": "kotlin"
|
|
},
|
|
"language_info": {
|
|
"name": "kotlin",
|
|
"version": "1.8.0",
|
|
"mimetype": "text/x-kotlin",
|
|
"file_extension": ".kt",
|
|
"pygments_lexer": "kotlin",
|
|
"codemirror_mode": "text/x-kotlin",
|
|
"nbconvert_exporter": ""
|
|
}
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},
|
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"nbformat": 4,
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"nbformat_minor": 0
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}
|