Vladimir Dolzhenko
497 lines
16 KiB
JavaScript
497 lines
16 KiB
JavaScript
/*
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* Copyright 2010-2020 JetBrains s.r.o. and Kotlin Programming Language contributors.
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* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
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*/
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{
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"note": "May https://vega.github.io/vega/docs/ be with you",
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"$schema": "https://vega.github.io/schema/vega/v4.3.0.json",
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"description": "TestData completion-basic",
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"title": "TestData completion-basic",
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"width": 800,
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"height": 500,
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"padding": 5,
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"autosize": {"type": "pad", "resize": true},
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"signals": [
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{
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"name": "clear",
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"value": true,
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"on": [
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{"events": "mouseup[!event.item]", "update": "true", "force": true}
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]
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},
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{
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"name": "shift",
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"value": false,
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"on": [
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{
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"events": "@legendSymbol:click, @legendLabel:click",
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"update": "event.shiftKey",
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"force": true
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}
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]
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},
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{
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"name": "clicked",
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"value": null,
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"on": [
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{
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"events": "@legendSymbol:click, @legendLabel:click",
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"comment": "note: here `datum` is `selected` data set",
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"update": "{value: datum.value}",
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"force": true
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}
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]
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},
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{
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"name": "brush",
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"value": 0,
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"on": [
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{"events": {"signal": "clear"}, "update": "clear ? [0, 0] : brush"},
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{"events": "@xaxis:mousedown", "update": "[x(), x()]"},
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{
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"events": "[@xaxis:mousedown, window:mouseup] > window:mousemove!",
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"update": "[brush[0], clamp(x(), 0, width)]"
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},
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{
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"events": {"signal": "delta"},
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"update": "clampRange([anchor[0] + delta, anchor[1] + delta], 0, width)"
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}
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]
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},
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{
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"name": "anchor",
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"value": null,
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"on": [{"events": "@brush:mousedown", "update": "slice(brush)"}]
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},
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{
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"name": "xdown",
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"value": 0,
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"on": [{"events": "@brush:mousedown", "update": "x()"}]
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},
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{
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"name": "delta",
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"value": 0,
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"on": [
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{
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"events": "[@brush:mousedown, window:mouseup] > window:mousemove!",
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"update": "x() - xdown"
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}
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]
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},
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{
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"name": "domain",
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"on": [
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{
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"events": {"signal": "brush"},
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"update": "span(brush) ? invert('x', brush) : null"
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}
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]
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},
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{"name": "timestamp", "value": true, "bind": {"input": "checkbox"}}
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],
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"data": [
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{
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"name": "table",
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"comment": "To test chart in VEGA editor https://vega.github.io/editor/#/ change `_values` to `values` and rename `url` property",
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"_values": {
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"aggregations" : {
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"benchmark" : {
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"doc_count_error_upper_bound" : 0,
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"sum_other_doc_count" : 0,
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"buckets" : [
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{
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"key" : "highlight",
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"doc_count" : 1034,
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"name" : {
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"doc_count_error_upper_bound" : 0,
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"sum_other_doc_count" : 0,
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"buckets" : [
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{
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"key" : "Annotations",
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"doc_count" : 23,
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"values" : {
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"buckets" : [
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{
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"key_as_string" : "2020-11-02T09:00:00.000Z",
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"key" : 1604307600000,
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"doc_count" : 3,
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"avgError" : {
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"value" : 1.0
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},
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"avgValue" : {
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"value" : 129.0
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},
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"buildId" : {
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"doc_count_error_upper_bound" : 0,
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"sum_other_doc_count" : 1,
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"buckets" : [
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{
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"key" : 93277596,
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"doc_count" : 2
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}
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]
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}
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},
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{
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"key_as_string" : "2020-11-02T21:00:00.000Z",
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"key" : 1604350800000,
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"doc_count" : 3,
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"avgError" : {
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"value" : 1.0
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},
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"avgValue" : {
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"value" : 41.0
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},
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"buildId" : {
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"doc_count_error_upper_bound" : 0,
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"sum_other_doc_count" : 2,
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"buckets" : [
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{
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"key" : 93400366,
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"doc_count" : 1
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}
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]
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}
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},
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{
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"key_as_string" : "2020-11-03T09:00:00.000Z",
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"key" : 1604394000000,
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"doc_count" : 2,
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"avgError" : {
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"value" : 1.5
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},
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"avgValue" : {
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"value" : 42.0
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},
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"buildId" : {
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"doc_count_error_upper_bound" : 0,
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"sum_other_doc_count" : 1,
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"buckets" : [
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{
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"key" : 93507855,
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"doc_count" : 1
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}
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]
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}
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}
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],
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"interval" : "12h"
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}
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}
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]
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}
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}
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]
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}
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}
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},
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"url": {
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//"comment": "source index pattern",
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"index": "kotlin_ide_benchmarks*",
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//"comment": "it's a body of ES _search query to check query place it into `POST /kotlin_ide_benchmarks*/_search`",
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//"comment": "it uses Kibana specific %timefilter% for time frame selection",
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"body": {
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"size": 0,
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"query": {
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"bool": {
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"must": [
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{
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"bool": {
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"must_not": [
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{"exists": {"field": "warmUp"}},
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{"exists": {"field": "synthetic"}}
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]
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}
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},
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{"term": {"benchmark.keyword": "completion-basic"}},
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{"range": {"buildTimestamp": {"%timefilter%": true}}}
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]
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}
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},
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"aggs": {
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"benchmark": {
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"terms": {
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"field": "benchmark.keyword",
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"size": 50
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},
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"aggs": {
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"name": {
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"terms": {
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"field": "name.keyword",
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"size": 50
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},
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"aggs": {
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"values": {
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"auto_date_histogram": {
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"buckets": 30,
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"field": "buildTimestamp",
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"minimum_interval": "hour"
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},
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"aggs": {
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"buildId": {
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"terms": {
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"size": 1,
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"field": "buildId"
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}
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},
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"avgValue":{
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"avg": {
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"field": "metricValue"
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}
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},
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"avgError":{
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"avg": {
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"field": "metricError"
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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},
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"format": {"property": "aggregations"},
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"comment": "we need to have follow data: \"buildId\", \"metricName\", \"metricValue\" and \"metricError\"",
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"comment": "so it has to be array of {\"buildId\": \"...\", \"metricName\": \"...\", \"metricValue\": ..., \"metricError\": ...}",
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"transform": [
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{"type": "project", "fields": ["benchmark"]},
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{"type": "flatten", "fields": ["benchmark.buckets"], "as": ["benchmark_buckets"]},
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{"type": "project", "fields": ["benchmark_buckets.key", "benchmark_buckets.name"], "as": ["benchmark", "benchmark_buckets_name"]},
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{"type": "flatten", "fields": ["benchmark_buckets_name.buckets"], "as": ["name_buckets"]},
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{"type": "project", "fields": ["benchmark", "name_buckets.key", "name_buckets.values"], "as": ["benchmark", "name", "name_values"]},
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{"type": "flatten", "fields": ["name_values.buckets"], "as": ["name_values_buckets"]},
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{"type": "project", "fields": ["benchmark", "name", "name_values_buckets.key", "name_values_buckets.key_as_string", "name_values_buckets.avgError", "name_values_buckets.avgValue", "name_values_buckets.buildId.buckets"], "as": ["benchmark", "metricName", "buildTimestamp", "timestamp_value", "avgError", "avgValue", "buildId_buckets"]},
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{"type": "formula", "as": "metricError", "expr": "datum.avgError.value"},
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{"type": "formula", "as": "metricValue", "expr": "datum.avgValue.value"},
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{"type": "flatten", "fields": ["buildId_buckets"], "as": ["buildId_values"]},
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{"type": "formula", "as": "buildId", "expr": "datum.buildId_values.key"},
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{
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"type": "formula",
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"as": "timestamp",
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"expr": "timeFormat(toDate(datum.buildTimestamp), '%Y-%m-%d %H:%M')"
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},
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{
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"comment": "create `url` value that points to TC build",
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"type": "formula",
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"as": "url",
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"expr": "'https://buildserver.labs.intellij.net/buildConfiguration/Kotlin_Benchmarks_PluginPerformanceTests_IdeaPluginPerformanceTests/' + datum.buildId"
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},
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{"type": "collect","sort": {"field": "timestamp"}}
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]
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},
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{
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"name": "selected",
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"on": [
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{"trigger": "clear", "remove": true},
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{"trigger": "!shift", "remove": true},
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{"trigger": "!shift && clicked", "insert": "clicked"},
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{"trigger": "shift && clicked", "toggle": "clicked"}
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]
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}
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],
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"axes": [
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{
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"scale": "x",
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"grid": true,
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"domain": false,
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"orient": "bottom",
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"labelAngle": -20,
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"labelAlign": "right",
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"title": {"signal": "timestamp ? 'timestamp' : 'buildId'"},
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"titlePadding": 10,
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"tickCount": 5,
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"encode": {
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"labels": {
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"interactive": true,
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"update": {"tooltip": {"signal": "datum.label"}}
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}
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}
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},
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{
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"scale": "y",
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"grid": true,
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"domain": false,
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"orient": "left",
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"titlePadding": 10,
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"title": "ms",
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"titleAnchor": "end",
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"titleAngle": 0
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}
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],
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"scales": [
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{
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"name": "x",
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"type": "point",
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"range": "width",
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"domain": {"data": "table", "field": {"signal": "timestamp ? 'timestamp' : 'buildId'"}}
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},
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{
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"name": "y",
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"type": "linear",
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"range": "height",
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"nice": true,
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"zero": true,
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"domain": {"data": "table", "field": "metricValue"}
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},
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{
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"name": "color",
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"type": "ordinal",
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"range": "category",
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"domain": {"data": "table", "field": "metricName"}
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},
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{
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"name": "size",
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"type": "linear",
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"round": true,
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"nice": false,
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"zero": true,
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"domain": {"data": "table", "field": "metricError"},
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"range": [1, 100]
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}
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],
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"legends": [
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{
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"title": "Cases",
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"stroke": "color",
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"strokeColor": "#ccc",
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"padding": 8,
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"cornerRadius": 4,
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"symbolLimit": 50,
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"encode": {
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"symbols": {
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"name": "legendSymbol",
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"interactive": true,
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"update": {
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"fill": {"value": "transparent"},
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"strokeWidth": {"value": 2},
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"opacity": [
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{
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"comment": "here `datum` is `selected` data set",
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"test": "!length(data('selected')) || indata('selected', 'value', datum.value)",
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"value": 0.7
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},
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{"value": 0.15}
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],
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"size": {"value": 64}
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}
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},
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"labels": {
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"name": "legendLabel",
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"interactive": true,
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"update": {
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"opacity": [
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{
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"comment": "here `datum` is `selected` data set",
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"test": "!length(data('selected')) || indata('selected', 'value', datum.value)",
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"value": 1
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},
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{"value": 0.25}
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]
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}
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}
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}
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}
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],
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"marks": [
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{
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"type": "group",
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"from": {
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"facet": {"name": "series", "data": "table", "groupby": "metricName"}
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},
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"marks": [
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{
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"type": "line",
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"from": {"data": "series"},
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"encode": {
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"hover": {"opacity": {"value": 1}, "strokeWidth": {"value": 4}},
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"update": {
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"x": {"scale": "x", "field": {"signal": "timestamp ? 'timestamp' : 'buildId'"}},
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"y": {"scale": "y", "field": "metricValue"},
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"strokeWidth": {"value": 2},
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"opacity": [
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{
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"test": "(!domain || inrange(datum.buildId, domain)) && (!length(data('selected')) || indata('selected', 'value', datum.metricName))",
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"value": 0.7
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},
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{"value": 0.15}
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],
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"stroke": [
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{
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"test": "(!domain || inrange(datum.buildId, domain)) && (!length(data('selected')) || indata('selected', 'value', datum.metricName))",
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"scale": "color",
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"field": "metricName"
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},
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{"value": "#ccc"}
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]
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}
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}
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},
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{
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"type": "symbol",
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"from": {"data": "series"},
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"encode": {
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"enter": {
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"fill": {"value": "#B00"},
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"size": [{ "test": "datum.hasError", "value": 250 }, {"value": 0}],
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"shape": {"value": "cross"},
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"angle": {"value": 45},
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"x": {"scale": "x", "field": {"signal": "timestamp ? 'timestamp' : 'buildId'"}},
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"y": {"scale": "y", "field": "metricValue"},
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"strokeWidth": {"value": 1},
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"opacity": [
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{
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"test": "(!domain || inrange(datum.buildId, domain)) && datum.hasError && (!length(data('selected')) || indata('selected', 'value', datum.metricName))",
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"value": 1
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},
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{"value": 0.15}
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]
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},
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"update": {
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"opacity": [
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{
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"test": "(!domain || inrange(datum.buildId, domain)) && datum.hasError && (!length(data('selected')) || indata('selected', 'value', datum.metricName))",
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"value": 1
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},
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{"value": 0.15}
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]
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}
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},
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"zindex": 1
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},
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{
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"type": "symbol",
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"from": {"data": "series"},
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"encode": {
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"enter": {
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"tooltip": {
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"signal": "datum.metricName + ': ' + datum.metricValue + ' ms'"
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},
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"href": {"field": "url"},
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"cursor": {"value": "pointer"},
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"size": {"scale": "size", "field": "metricError"},
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"x": {"scale": "x", "field": {"signal": "timestamp ? 'timestamp' : 'buildId'"}},
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"y": {"scale": "y", "field": "metricValue"},
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"strokeWidth": {"value": 1},
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"fill": {"scale": "color", "field": "metricName"}
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},
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"update": {
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"opacity": [
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{
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"test": "(!domain || inrange(datum.buildId, domain)) && (!length(data('selected')) || indata('selected', 'value', datum.metricName))",
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"value": 1
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},
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{"value": 0.15}
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]
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}
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},
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"zindex": 2
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}
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]
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}
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]
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}
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