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https://github.com/vector-im/element-web.git
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f62fe2626c
* Implement new notification settings UI * Sort new keywords at the front * Make ts-strict happier * Make ts-strict happier * chore: fixed lint issues * update beta card * Fix issue with the user settings test * chore: fixed lint issues * Add tests for notification settings * chore: fixed lint issues * fix: spurious text failures * improve tests further * make ts-strict happier * improve tests further * Reduce uncovered conditions * Correct snapshot * even more test coverage * Fix an issue with inverted rules * Update res/css/views/settings/tabs/_SettingsIndent.pcss Co-authored-by: Šimon Brandner <simon.bra.ag@gmail.com> * Fix license headers * Improve i18n * make linters happier * Improve beta labels * improve i18n * chore: fixed lint issues * fix: more lint issues * Update snapshots to match changed text * Update text as requested * Remove labs image * Update snapshots * Correct an issue with one of the tests * fix: keyword reconcilation code * Determine mute status more accurately * Address review comments * Prevent duplicate updates * Fix missing license header * slight change to avoid ts-strict complaining * fix test issue caused by previous merge --------- Co-authored-by: Šimon Brandner <simon.bra.ag@gmail.com>
35 lines
1.0 KiB
TypeScript
35 lines
1.0 KiB
TypeScript
/*
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Copyright 2023 The Matrix.org Foundation C.I.C.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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// Fake random strings to give a predictable snapshot for IDs
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// Simple Xorshift random number generator with predictable ID
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export class PredictableRandom {
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private state: number;
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constructor() {
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this.state = 314159265;
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}
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get(): number {
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this.state ^= this.state << 13;
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this.state ^= this.state >> 17;
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this.state ^= this.state << 5;
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return this.state / 1073741823;
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}
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reset(): void {
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this.state = 314159265;
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}
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}
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