mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-09-20 11:28:47 +08:00
Bruce Martin
6b33315cbe
* initial dataframe commit * initial dataframe port of core app * rename variables for clarity * remove unused import * comment out unused code * fix array handling bug in crossfilter dimension creation * allow creation of empty dataframes * handle non-existent columns * handle non-existent columns * revise tests for new dataframe * comments for clarity * comments for clarity * generate bulk add placeholder with real gene names * fix bug in gene name adding * more dataframe unit tests * fix bug - subset from current world, not universe * put cut and pasted code into a single function * improve caching of crossfilter * remove cascading update bug from graph * more performance work * improve state handling for scatterplot * performance optimization of critical path * add column summarization * dataframe utils * add callOnceLazy * fix tests * minor updates found during review * fix misspelling * remove RESTv02 from function names * comment cleanup * cut/icut col parameter defaults to null * break up large test * improve tests and comments on dataframe at/has functions
63 lines
1.7 KiB
JavaScript
63 lines
1.7 KiB
JavaScript
import {
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countCategoryValues2D,
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clearCaches
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} from "../../../src/util/stateManager/worldUtil";
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import * as Dataframe from "../../../src/util/dataframe";
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describe("WorldUtil cache management", () => {
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test("empty", () => {
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const count = countCategoryValues2D(
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"a",
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"b",
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new Dataframe.Dataframe([0, 0], [])
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);
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expect(count).toMatchObject(new Map());
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expect(count.size).toBe(0);
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});
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test("simple couts", () => {
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const df = new Dataframe.Dataframe(
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[3, 2],
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[[0, 0, 1], [false, true, false]],
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null,
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new Dataframe.KeyIndex(["a", "b"])
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);
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const count = countCategoryValues2D("a", "b", df);
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expect(count).toMatchObject(
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new Map([
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[0, new Map([[true, 1], [false, 1]])],
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[1, new Map([[false, 1]])]
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])
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);
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});
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test("memo cache clear", () => {
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clearCaches();
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const df1 = new Dataframe.Dataframe([0, 0], []);
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const df2 = new Dataframe.Dataframe(
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[3, 2],
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[[0, 0, 1], [false, true, false]],
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null,
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new Dataframe.KeyIndex(["a", "b"])
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);
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const count1 = countCategoryValues2D("a", "b", df1);
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const count2 = countCategoryValues2D("a", "b", df1);
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const count3 = countCategoryValues2D("a", "b", df1.clone());
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const count4 = countCategoryValues2D("a", "b", df2);
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clearCaches();
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const count10 = countCategoryValues2D("a", "b", df1);
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const count11 = countCategoryValues2D("a", "b", df2);
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expect(count1).toEqual(count2);
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expect(count1).toEqual(count3);
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expect(count1).toEqual(count10);
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expect(count1).not.toBe(count3);
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expect(count1).not.toBe(count10);
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expect(count4).toEqual(count11);
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expect(count4).not.toBe(count11);
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});
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});
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