571 lines
66 KiB
Plaintext
571 lines
66 KiB
Plaintext
{
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"cells":[
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{
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"cell_type":"code",
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"source":[
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"@file:Repository(\"https:\/\/repo.kotlin.link\")\n",
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"@file:DependsOn(\"space.kscience:plotlykt-jupyter:0.5.0\")"
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],
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"execution_count":8,
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"outputs":[
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],
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"metadata":{
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"datalore":{
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"node_id":"HfS15oY8SNHBvPjmbefYtL",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"Plotly.jupyter.notebook()"
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],
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"execution_count":9,
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"outputs":[
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{
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"data":{
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"text\/html":[
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"<div style=\"color: blue;\">Plotly notebook integration switch into the legacy mode.<\/div>\n"
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]
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},
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"metadata":{
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},
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"output_type":"display_data"
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}
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],
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"metadata":{
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"datalore":{
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"node_id":"YuyqME04fpadggceqziOPH",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"# API"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"Xsajx1IH4TCAM5CqFQWzAF",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"enum class Severity(val penalty: Double){\n",
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" MINOR(1.0),\n",
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" MAJOR(2.0),\n",
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" CRITICAL(3.0)\n",
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"}\n",
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"\n",
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"enum class State{\n",
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" OPEN,\n",
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" ASSIGNED,\n",
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" RESOLVED\n",
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"}\n",
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"\n",
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"data class Issue(val id: String, val dayCreated: Int, val severity: Severity, val complexity: Int, \n",
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" var state: State = State.OPEN, var dayAssigned: Int? = null, var dayResolved: Int? = null){\n",
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" fun activate(day: Int){ \n",
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" state = State.ASSIGNED\n",
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" dayAssigned = day\n",
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" }\n",
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" \n",
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" fun resolve(day: Int){\n",
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" state = State.RESOLVED\n",
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" dayResolved = day\n",
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" }\n",
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" \n",
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" internal fun tryResolve(day: Int){\n",
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" if(state == State.ASSIGNED && day >= (dayAssigned ?: 0) + complexity ){\n",
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" resolve(day)\n",
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" }\n",
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" }\n",
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"}\n",
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"\n",
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"class Worker(val name: String){\n",
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" var currentIssue: Issue? = null\n",
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" private set\n",
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" \n",
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" fun isBusy(): Boolean = currentIssue != null\n",
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" \n",
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" fun update(day: Int){\n",
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" currentIssue?.tryResolve(day)\n",
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" if(currentIssue?.state == State.RESOLVED){\n",
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" currentIssue = null\n",
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" }\n",
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" }\n",
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" \n",
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" fun assign(day: Int, issue: Issue){\n",
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" if(currentIssue != null) error(\"Can't assign work to a worker which is busy\")\n",
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" issue.activate(day)\n",
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" currentIssue = issue\n",
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" }\n",
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"}\n",
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"\n",
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"interface IssueGenerator{\n",
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" fun generate(day: Int): List<Issue>\n",
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"}\n",
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"\n",
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"interface Strategy{\n",
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" fun selectIssue(day: Int, issues: List<Issue>): Issue?\n",
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"}\n",
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"\n",
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"class WorkResult(val issues: List<Issue>, val workers: Int, val days: Int)\n",
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"\n",
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"@OptIn(kotlin.ExperimentalStdlibApi::class)\n",
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"fun simulate(generator: IssueGenerator, strategy: Strategy, numWorkers: Int = 10, days: Int = 100): WorkResult{\n",
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" val workers = (0 until numWorkers).map{Worker(\"worker $it\")}\n",
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" val issues = buildList<Issue>{\n",
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" for(day in 0 until days){\n",
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" \/\/update all workers\n",
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" workers.forEach { it.update(day) }\n",
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" \/\/generate new issues\n",
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" val newIssues = generator.generate(day)\n",
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" addAll(newIssues)\n",
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" \/\/Select all free workers\n",
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" workers.filter { !it.isBusy() }.forEach { worker->\n",
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" val unasigned = filter { it.state == State.OPEN }\n",
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" val anIssue = strategy.selectIssue(day, unasigned) \/\/select an issue to assign from all unassigned issues\n",
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" if(anIssue != null){\n",
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" worker.assign(day, anIssue)\n",
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" }\n",
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" }\n",
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" }\n",
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" }\n",
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" return WorkResult(issues, numWorkers, days)\n",
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"}\n",
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"\n",
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"fun WorkResult.computeLoss(): Double = issues.sumOf { \n",
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" ((it.dayResolved ?: days) - it.dayCreated).toDouble()*it.severity.penalty \n",
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"} \/ days \/ workers \/ issues.size"
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],
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"execution_count":34,
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"outputs":[
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],
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"metadata":{
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"datalore":{
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"node_id":"q53dZKxH2jHdS3Tpd8KuXw",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"# Implementations"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"d0pwXmjTuPEru3uKTIDDAj",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"import kotlin.random.Random\n",
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"import kotlin.math.pow\n",
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"\n",
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"\/**\n",
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"* Generate [issuesPerDay] random issues per day\n",
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"*\/\n",
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"class RandomIssueGenerator(seed: Long, val issuesPerDay: Int = 4 ) : IssueGenerator{\n",
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" private val random = Random(seed)\n",
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" override fun generate(day: Int): List<Issue>{\n",
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" return List(issuesPerDay){\n",
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" val severity = Severity.values()[random.nextInt(3)]\n",
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" val complexity = random.nextInt(15)\n",
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" Issue(\"${day}_${it}\", day, severity, complexity)\n",
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" }\n",
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" }\n",
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"}\n",
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"\n",
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"object TakeOldest: Strategy{\n",
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" override fun selectIssue(day: Int, issues: List<Issue>): Issue?{\n",
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" return issues.minByOrNull { it.dayCreated }\n",
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" }\n",
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"}\n",
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"\n",
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"class TakeRandom(seed: Long): Strategy{\n",
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" private val random = Random(seed)\n",
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" override fun selectIssue(day: Int, issues: List<Issue>): Issue?{\n",
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" if(issues.isEmpty()) return null\n",
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" return issues.random(random)\n",
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" }\n",
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"}\n",
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"\n",
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"object TakeMostLoss: Strategy{\n",
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" override fun selectIssue(day: Int, issues: List<Issue>): Issue?{\n",
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" return issues.maxByOrNull { it.severity.penalty*(day - it.dayCreated) }\n",
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" }\n",
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"}\n"
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],
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"execution_count":35,
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"outputs":[
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],
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"metadata":{
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"datalore":{
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"node_id":"dgQ1fKp1c6bgUw9JX1KJdU",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"object TakeCritical: Strategy{\n",
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" override fun selectIssue(day: Int, issues: List<Issue>): Issue?{\n",
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" val maxSeverity = issues.maxByOrNull{it.severity}?.severity ?: return null\n",
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" return issues.filter{it.severity == maxSeverity}.random()\n",
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" }\n",
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"}"
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],
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"execution_count":36,
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"outputs":[
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],
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"metadata":{
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"datalore":{
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"node_id":"xEy6jukH4Dr3fpL9756qbD",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"# Simulate lossseverity"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"Svw7Q0DAlz7Ry91ALvqtqH",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"val seed = 892L\n",
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"val days = 100\n",
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"val workers = 40"
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],
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"execution_count":44,
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"outputs":[
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],
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"metadata":{
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"datalore":{
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"node_id":"0PbQxiuKSnPJJriVmhsa1w",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"## Take oldest"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"Y1k1bR1RBHGwZHYktqsSOy",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"val result = simulate(RandomIssueGenerator(seed, workers),TakeOldest, days = days)\n",
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"\/\/result.issues.forEach { println(it)}\n",
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"result.computeLoss()"
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],
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"execution_count":45,
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"outputs":[
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{
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"data":{
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"text\/plain":[
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"0.09711974999999999"
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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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"output_type":"display_data"
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}
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],
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"metadata":{
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"datalore":{
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"node_id":"6DIBRaZJ7DvfwfxWg79r7V",
|
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"## Take random"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"1o8tU8B0YxPnuIBpafb1tW",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"simulate(RandomIssueGenerator(seed, workers),TakeRandom(seed), days = days).computeLoss()"
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],
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"execution_count":46,
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"outputs":[
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{
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"data":{
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"text\/plain":[
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"0.0966175"
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]
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},
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"metadata":{
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},
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"output_type":"display_data"
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}
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],
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"metadata":{
|
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"datalore":{
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"node_id":"oFJRRpzc0yJUrQR6zjZGkN",
|
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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}
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}
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},
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{
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"cell_type":"markdown",
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"source":[
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"## Take critical"
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],
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"attachments":{
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},
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"metadata":{
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"datalore":{
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"node_id":"02plMVcMwARYP50RTPRMQo",
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"type":"MD",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"simulate(RandomIssueGenerator(seed, workers), TakeCritical, days = days).computeLoss()"
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],
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"execution_count":47,
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"outputs":[
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{
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"data":{
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"text\/plain":[
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"0.09535774999999999"
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]
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},
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"metadata":{
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},
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"output_type":"display_data"
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}
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],
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"metadata":{
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"datalore":{
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"node_id":"OlWpg3tpsUL34DwfzdGOaf",
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"type":"CODE",
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"hide_input_from_viewers":true,
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"hide_output_from_viewers":true
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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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"source":[
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"val seeds = List(1000){Random.nextLong()}\n",
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"\n",
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"Plotly.plot{\n",
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" trace{\n",
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" x.numbers = seeds.map{ seed -> simulate(RandomIssueGenerator(seed, workers), TakeOldest, days = days).computeLoss()}\n",
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" name = \"oldest\"\n",
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" type = TraceType.histogram\n",
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" }\n",
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" trace{\n",
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" x.numbers = seeds.map{ seed -> simulate(RandomIssueGenerator(seed, workers), TakeRandom(seed), days = days).computeLoss()}\n",
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" name = \"random\"\n",
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" type = TraceType.histogram\n",
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" }\n",
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" trace{\n",
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" x.numbers = seeds.map{ seed -> simulate(RandomIssueGenerator(seed, workers), TakeCritical, days = days).computeLoss()}\n",
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" name = \"critical\"\n",
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" type = TraceType.histogram\n",
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" }\n",
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" trace{\n",
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" x.numbers = seeds.map{ seed -> simulate(RandomIssueGenerator(seed, workers), TakeMostLoss, days = days).computeLoss()}\n",
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" name = \"mostLoss\"\n",
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" type = TraceType.histogram\n",
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" }\n",
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" layout{\n",
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" title = \"Loss distribtution\"\n",
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" xaxis {\n",
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" title = \"Loss\"\n",
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" }\n",
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" }\n",
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"}"
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],
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"execution_count":48,
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"outputs":[
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{
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"data":{
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"text\/html":[
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"<html>\n",
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" <head>\n",
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" <meta charset=\"utf-8\">\n",
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" <title>Plotly.kt<\/title>\n",
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" <script type=\"text\/javascript\" src=\"https:\/\/cdn.plot.ly\/plotly-1.54.6.min.js\"><\/script>\n",
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" <\/head>\n",
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" <body>\n",
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" <div id=\"space.kscience.plotly.Plot@57f2a52d\">\n",
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" <script>if(typeof Plotly !== \"undefined\"){\n",
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" Plotly.react(\n",
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" 'space.kscience.plotly.Plot@57f2a52d',\n",
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" 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