igniteui-angular-charts
Version:
Ignite UI Angular charting components for building rich data visualizations for modern web apps.
78 lines (77 loc) • 3.54 kB
JavaScript
/*
THIS INFRAGISTICS ULTIMATE SOFTWARE LICENSE AGREEMENT ("AGREEMENT") LOCATED HERE:
https://www.infragistics.com/legal/license/igultimate-la
https://www.infragistics.com/legal/license/igultimate-eula
GOVERNS THE LICENSING, INSTALLATION AND USE OF INFRAGISTICS SOFTWARE. BY DOWNLOADING AND/OR INSTALLING AND USING INFRAGISTICS SOFTWARE: you are indicating that you have read and understand this Agreement, and agree to be legally bound by it on behalf of the yourself and your company.
*/
import { StackedColumnBucketCalculator } from "./StackedColumnBucketCalculator";
import { StackedSeriesBase } from "./StackedSeriesBase";
import { ColumnFragment } from "./ColumnFragment";
import { ScalerParams } from "./ScalerParams";
import { typeCast, markType } from "igniteui-angular-core";
import { isNaN_ } from "igniteui-angular-core";
/**
* @hidden
*/
export let Stacked100ColumnBucketCalculator = /*@__PURE__*/ (() => {
class Stacked100ColumnBucketCalculator extends StackedColumnBucketCalculator {
constructor(a) {
super(a);
}
getBucket(a) {
return super.getBucket(a);
}
getBucket1(a, b, c, d, e, f) {
let g = typeCast(StackedSeriesBase.$, this.c.db);
let h = [NaN, NaN, NaN];
let i = typeCast(ColumnFragment.$, a);
if (i == null || i.logicalSeriesLink == null) {
return h;
}
let j = g.getEffectiveViewport1(this.c);
let k = a.valueColumn.item(c);
let l = 0;
let m = NaN;
let n = NaN;
let o = Number.NEGATIVE_INFINITY;
let p = Number.POSITIVE_INFINITY;
let q = 0;
let r = Math.min(g.abf != null ? g.abf.length : 0, g.abe != null ? g.abe.length : 0);
let s = c * this.d;
let t = Math.min(s + this.d - 1, r - 1);
if (s <= t) {
for (let u = s; u <= t; ++u) {
k = a.valueColumn.item(u);
q = Math.abs(g.abf[u]) + g.abe[u];
if (k < l) {
p = Math.min(p, (i.logicalSeriesLink.a8._inner[u] + k) / q * 100);
o = Math.max(o, i.logicalSeriesLink.a8._inner[u] / q * 100);
}
else {
p = Math.min(p, i.logicalSeriesLink.a7._inner[u] / q * 100);
o = Math.max(o, (i.logicalSeriesLink.a7._inner[u] + k) / q * 100);
}
if (!isNaN_(m)) {
if (!isNaN_(p)) {
m = Math.min(m, p);
n = Math.max(n, p);
}
if (!isNaN_(o)) {
m = Math.min(m, o);
n = Math.max(n, o);
}
}
else {
m = p;
n = o;
}
}
}
let v = new ScalerParams(0, d, e, i.fragmentYAxis.dn, j);
h = [f.k._inner[b - this.e][0], i.fragmentYAxis.f5(n, v), i.fragmentYAxis.f5(m, v)];
return h;
}
}
Stacked100ColumnBucketCalculator.$t = markType(Stacked100ColumnBucketCalculator, 'Stacked100ColumnBucketCalculator', StackedColumnBucketCalculator.$);
return Stacked100ColumnBucketCalculator;
})();