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mirror of https://github.com/matrix-org/matrix-react-sdk.git synced 2025-08-07 21:23:00 +03:00

Clean up some unit test logs (#7857)

* kill some unit test logs in arrays-test

Signed-off-by: Kerry Archibald <kerrya@element.io>

* remove mock logs that are asserted against anyway

* remove more logs

Signed-off-by: Kerry Archibald <kerrya@element.io>

* fix safeCOunterpartTranslate warnings in tests

Signed-off-by: Kerry Archibald <kerrya@element.io>

* more safeCounterpartTranslate warnings

Signed-off-by: Kerry Archibald <kerrya@element.io>

* lint

Signed-off-by: Kerry Archibald <kerrya@element.io>

* remove more logs

Signed-off-by: Kerry Archibald <kerrya@element.io>

* add helper

Signed-off-by: Kerry Archibald <kerrya@element.io>

* naming

Signed-off-by: Kerry Archibald <kerrya@element.io>
This commit is contained in:
Kerry
2022-02-21 17:57:44 +01:00
committed by GitHub
parent e2827b4082
commit 8b9263c808
13 changed files with 108 additions and 91 deletions

View File

@@ -30,8 +30,10 @@ import {
GroupedArray,
} from "../../src/utils/arrays";
function expectSample(i: number, input: number[], expected: number[], smooth = false) {
console.log(`Resample case index: ${i}`); // for debugging test failures
type TestParams = { input: number[], output: number[] };
type TestCase = [string, TestParams];
function expectSample(input: number[], expected: number[], smooth = false) {
const result = (smooth ? arraySmoothingResample : arrayFastResample)(input, expected.length);
expect(result).toBeDefined();
expect(result).toHaveLength(expected.length);
@@ -40,60 +42,68 @@ function expectSample(i: number, input: number[], expected: number[], smooth = f
describe('arrays', () => {
describe('arrayFastResample', () => {
it('should downsample', () => {
[
{ input: [1, 2, 3, 4, 5], output: [1, 4] }, // Odd -> Even
{ input: [1, 2, 3, 4, 5], output: [1, 3, 5] }, // Odd -> Odd
{ input: [1, 2, 3, 4], output: [1, 2, 3] }, // Even -> Odd
{ input: [1, 2, 3, 4], output: [1, 3] }, // Even -> Even
].forEach((c, i) => expectSample(i, c.input, c.output));
});
const downsampleCases: TestCase[] = [
['Odd -> Even', { input: [1, 2, 3, 4, 5], output: [1, 4] }],
['Odd -> Odd', { input: [1, 2, 3, 4, 5], output: [1, 3, 5] }],
['Even -> Odd', { input: [1, 2, 3, 4], output: [1, 2, 3] }],
['Even -> Even', { input: [1, 2, 3, 4], output: [1, 3] }],
];
it.each(downsampleCases)('downsamples correctly from %s', (_d, { input, output }) =>
expectSample(input, output),
);
it('should upsample', () => {
[
{ input: [1, 2, 3], output: [1, 1, 2, 2, 3, 3] }, // Odd -> Even
{ input: [1, 2, 3], output: [1, 1, 2, 2, 3] }, // Odd -> Odd
{ input: [1, 2], output: [1, 1, 1, 2, 2] }, // Even -> Odd
{ input: [1, 2], output: [1, 1, 1, 2, 2, 2] }, // Even -> Even
].forEach((c, i) => expectSample(i, c.input, c.output));
});
const upsampleCases: TestCase[] = [
['Odd -> Even', { input: [1, 2, 3], output: [1, 1, 2, 2, 3, 3] }],
['Odd -> Odd', { input: [1, 2, 3], output: [1, 1, 2, 2, 3] }],
['Even -> Odd', { input: [1, 2], output: [1, 1, 1, 2, 2] }],
['Even -> Even', { input: [1, 2], output: [1, 1, 1, 2, 2, 2] }],
];
it.each(upsampleCases)('upsamples correctly from %s', (_d, { input, output }) =>
expectSample(input, output),
);
it('should maintain sample', () => {
[
{ input: [1, 2, 3], output: [1, 2, 3] }, // Odd
{ input: [1, 2], output: [1, 2] }, // Even
].forEach((c, i) => expectSample(i, c.input, c.output));
});
const maintainSampleCases: TestCase[] = [
['Odd', { input: [1, 2, 3], output: [1, 2, 3] }], // Odd
['Even', { input: [1, 2], output: [1, 2] }], // Even
];
it.each(maintainSampleCases)('maintains samples for %s', (_d, { input, output }) =>
expectSample(input, output),
);
});
describe('arraySmoothingResample', () => {
it('should downsample', () => {
// Dev note: these aren't great samples, but they demonstrate the bare minimum. Ideally
// we'd be feeding a thousand values in and seeing what a curve of 250 values looks like,
// but that's not really feasible to manually verify accuracy.
[
{ input: [4, 4, 1, 4, 4, 1, 4, 4, 1], output: [3, 3, 3, 3] }, // Odd -> Even
{ input: [4, 4, 1, 4, 4, 1, 4, 4, 1], output: [3, 3, 3] }, // Odd -> Odd
{ input: [4, 4, 1, 4, 4, 1, 4, 4], output: [3, 3, 3] }, // Even -> Odd
{ input: [4, 4, 1, 4, 4, 1, 4, 4], output: [3, 3] }, // Even -> Even
].forEach((c, i) => expectSample(i, c.input, c.output, true));
});
// Dev note: these aren't great samples, but they demonstrate the bare minimum. Ideally
// we'd be feeding a thousand values in and seeing what a curve of 250 values looks like,
// but that's not really feasible to manually verify accuracy.
const downsampleCases: TestCase[] = [
['Odd -> Even', { input: [4, 4, 1, 4, 4, 1, 4, 4, 1], output: [3, 3, 3, 3] }],
['Odd -> Odd', { input: [4, 4, 1, 4, 4, 1, 4, 4, 1], output: [3, 3, 3] }],
['Even -> Odd', { input: [4, 4, 1, 4, 4, 1, 4, 4], output: [3, 3, 3] }],
['Even -> Even', { input: [4, 4, 1, 4, 4, 1, 4, 4], output: [3, 3] }],
];
it('should upsample', () => {
[
{ input: [2, 0, 2], output: [2, 2, 0, 0, 2, 2] }, // Odd -> Even
{ input: [2, 0, 2], output: [2, 2, 0, 0, 2] }, // Odd -> Odd
{ input: [2, 0], output: [2, 2, 2, 0, 0] }, // Even -> Odd
{ input: [2, 0], output: [2, 2, 2, 0, 0, 0] }, // Even -> Even
].forEach((c, i) => expectSample(i, c.input, c.output, true));
});
it.each(downsampleCases)('downsamples correctly from %s', (_d, { input, output }) =>
expectSample(input, output, true),
);
it('should maintain sample', () => {
[
{ input: [2, 0, 2], output: [2, 0, 2] }, // Odd
{ input: [2, 0], output: [2, 0] }, // Even
].forEach((c, i) => expectSample(i, c.input, c.output, true));
});
const upsampleCases: TestCase[] = [
['Odd -> Even', { input: [2, 0, 2], output: [2, 2, 0, 0, 2, 2] }],
['Odd -> Odd', { input: [2, 0, 2], output: [2, 2, 0, 0, 2] }],
['Even -> Odd', { input: [2, 0], output: [2, 2, 2, 0, 0] }],
['Even -> Even', { input: [2, 0], output: [2, 2, 2, 0, 0, 0] }],
];
it.each(upsampleCases)('upsamples correctly from %s', (_d, { input, output }) =>
expectSample(input, output, true),
);
const maintainCases: TestCase[] = [
['Odd', { input: [2, 0, 2], output: [2, 0, 2] }],
['Even', { input: [2, 0], output: [2, 0] }],
];
it.each(maintainCases)('maintains samples for %s', (_d, { input, output }) =>
expectSample(input, output),
);
});
describe('arrayRescale', () => {

View File

@@ -19,6 +19,7 @@ import { MatrixEvent } from "matrix-js-sdk/src/models/event";
import { EventType } from "matrix-js-sdk/src/@types/event";
import { EventEmitter } from "events";
import { ReactWrapper } from "enzyme";
import { Room } from "matrix-js-sdk";
import { AsyncStoreWithClient } from "../../src/stores/AsyncStoreWithClient";
import { mkEvent, mkStubRoom } from "../test-utils";
@@ -60,6 +61,24 @@ export const mkRoom = (client: MatrixClient, roomId: string, rooms?: ReturnType<
return room;
};
/**
* Upserts given events into room.currentState
* @param room
* @param events
*/
export const upsertRoomStateEvents = (room: Room, events: MatrixEvent[]): void => {
const eventsMap = events.reduce((acc, event) => {
const eventType = event.getType();
if (!acc.has(eventType)) {
acc.set(eventType, new Map());
}
acc.get(eventType).set(event.getStateKey(), event);
return acc;
}, room.currentState.events || new Map<string, Map<string, MatrixEvent>>());
room.currentState.events = eventsMap;
};
export const mkSpace = (
client: MatrixClient,
spaceId: string,