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Dataframe (#576)

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* 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
This commit is contained in:
Bruce Martin
2019-02-22 11:31:34 -08:00
committed by GitHub
parent 57c4e9ff33
commit 6b33315cbe
29 changed files with 1798 additions and 611 deletions
Download Patch File Download Diff File Expand all files Collapse all files
client/__tests__/util/stateManager/worldUtil.test.js
+28 -11
View File
@@ -2,16 +2,27 @@ import {
countCategoryValues2D,
clearCaches
} from "../../../src/util/stateManager/worldUtil";
import * as Dataframe from "../../../src/util/dataframe";
describe("WorldUtil cache management", () => {
test("empty", () => {
const count = countCategoryValues2D("a", "b", []);
const count = countCategoryValues2D(
"a",
"b",
new Dataframe.Dataframe([0, 0], [])
);
expect(count).toMatchObject(new Map());
expect(count.size).toBe(0);
});
test("simple couts", () => {
const rows = [{ a: 0, b: false }, { a: 0, b: true }, { a: 1, b: false }];
const count = countCategoryValues2D("a", "b", rows);
const df = new Dataframe.Dataframe(
[3, 2],
[[0, 0, 1], [false, true, false]],
null,
new Dataframe.KeyIndex(["a", "b"])
);
const count = countCategoryValues2D("a", "b", df);
expect(count).toMatchObject(
new Map([
[0, new Map([[true, 1], [false, 1]])],
@@ -22,16 +33,22 @@ describe("WorldUtil cache management", () => {
test("memo cache clear", () => {
clearCaches();
const row1 = [];
const row2 = [{ a: 0, b: false }, { a: 0, b: true }, { a: 1, b: false }];
const count1 = countCategoryValues2D("a", "b", row1);
const count2 = countCategoryValues2D("a", "b", row1);
const count3 = countCategoryValues2D("a", "b", []);
const count4 = countCategoryValues2D("a", "b", row2);
const df1 = new Dataframe.Dataframe([0, 0], []);
const df2 = new Dataframe.Dataframe(
[3, 2],
[[0, 0, 1], [false, true, false]],
null,
new Dataframe.KeyIndex(["a", "b"])
);
const count1 = countCategoryValues2D("a", "b", df1);
const count2 = countCategoryValues2D("a", "b", df1);
const count3 = countCategoryValues2D("a", "b", df1.clone());
const count4 = countCategoryValues2D("a", "b", df2);
clearCaches();
const count10 = countCategoryValues2D("a", "b", row1);
const count11 = countCategoryValues2D("a", "b", row2);
const count10 = countCategoryValues2D("a", "b", df1);
const count11 = countCategoryValues2D("a", "b", df2);
expect(count1).toEqual(count2);
expect(count1).toEqual(count3);