From ab63c1a103dccc6e89b23bcd2a30caa29872221f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 09:24:34 +0100 Subject: [PATCH 01/16] Removed babel and webpack --- .babelrc | 15 - .eslintrc.js | 11 +- package.json | 22 +- pnpm-lock.yaml | 4925 +++++++++++++++++++++++++++++++++++++++++++++ src/Classifier.js | 58 +- src/Model.js | 65 +- src/Prediction.js | 31 +- src/Vocabulary.js | 23 +- src/index.js | 12 +- webpack.config.js | 35 - 10 files changed, 5037 insertions(+), 160 deletions(-) delete mode 100644 .babelrc create mode 100644 pnpm-lock.yaml delete mode 100755 webpack.config.js diff --git a/.babelrc b/.babelrc deleted file mode 100644 index 738dfbe..0000000 --- a/.babelrc +++ /dev/null @@ -1,15 +0,0 @@ -{ - "env": { - "test": { - "plugins": ["@babel/plugin-transform-modules-commonjs"] - }, - "development": { - "presets": [["@babel/env"]], - "plugins": ["add-module-exports"] - }, - "production": { - "presets": [["@babel/env"], "minify"], - "plugins": ["add-module-exports"] - } - } -} diff --git a/.eslintrc.js b/.eslintrc.js index 5a000bb..4862a25 100755 --- a/.eslintrc.js +++ b/.eslintrc.js @@ -2,20 +2,17 @@ module.exports = { env: { browser: true, node: true, - es2021: true, - jest: true + es2021: true }, - extends: ['eslint:recommended'], parserOptions: { - ecmaVersion: 12, - sourceType: 'module' + sourceType: 'module', + ecmaVersion: 2020 }, + extends: ['eslint:recommended'], rules: { quotes: ['error', 'single', { avoidEscape: true }], - semi: ['error', 'never'], indent: 'off', 'no-mixed-spaces-and-tabs': ['warn', 'smart-tabs'], - 'linebreak-style': ['error', 'unix'], 'no-unused-vars': 'warn' } } diff --git a/package.json b/package.json index 429a9d9..6ab74f5 100644 --- a/package.json +++ b/package.json @@ -2,7 +2,7 @@ "name": "ml-classify-text", "version": "2.0.1", "description": "Text classification using n-grams and cosine similarity", - "module": "./lib", + "type": "module", "main": "./lib", "scripts": { "clean": "rimraf lib", @@ -50,23 +50,6 @@ }, "homepage": "https://github.com/andreekeberg/ml-classify-text-js", "devDependencies": { - "@babel/core": "^7.20.12", - "@babel/plugin-transform-modules-amd": "^7.20.11", - "@babel/plugin-transform-modules-commonjs": "^7.20.11", - "@babel/plugin-transform-runtime": "^7.19.6", - "@babel/polyfill": "^7.12.1", - "@babel/preset-env": "^7.20.2", - "@babel/register": "^7.18.9", - "@babel/runtime": "^7.20.13", - "@babel/runtime-corejs3": "^7.20.13", - "babel-cli": "^6.26.0", - "babel-eslint": "^10.1.0", - "babel-loader": "^9.1.2", - "babel-plugin-add-module-exports": "^1.0.4", - "babel-polyfill": "^6.26.0", - "babel-preset-env": "^1.7.0", - "babel-preset-minify": "^0.5.2", - "babel-runtime": "^6.26.0", "core-js": "^3.27.2", "cross-env": "^7.0.3", "eslint": "^8.33.0", @@ -76,8 +59,7 @@ "jsdoc": "^4.0.0", "jsdoc-to-markdown": "^8.0.0", "rimraf": "^4.1.2", - "webpack": "^5.75.0", - "webpack-cli": "^5.0.1" + "tsup": "^8.0.2" }, "dependencies": { "xregexp": 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'./Prediction' -import Vocabulary from './Vocabulary' - -/** - * @param {(Model|Object)} [model] - * @param {int} [model.nGramMin=1] - Minimum n-gram size - * @param {int} [model.nGramMax=1] - Maximum n-gram size - * @param {(Array|Set|false)} [model.vocabulary=[]] - Terms mapped to indexes in the model data entries, set to false to store terms directly in the data entries - * @param {Object} [model.data={}] - Key-value store containing all training data - * @constructor - */ -class Classifier { +import { Model } from './Model.js' +import { Prediction } from './Prediction.js' +import { Vocabulary } from './Vocabulary.js' + +export class Classifier { + /** + * @param {Model | Partial} model + */ constructor(model = {}) { if (!(model instanceof Model)) { model = new Model(model) } + /** + * @type {Model} + * @private + */ this._model = model } @@ -104,10 +103,8 @@ class Classifier { /** * Return an array of one or more Prediction instances * - * @param {string} input - Input string to make a prediction from - * @param {int} [maxMatches=1] Maximum number of predictions to return - * @param {float} [minimumConfidence=0.2] Minimum confidence required to include a prediction - * @return {Array} + * @param {string} input + * @return {Array} */ predict(input, maxMatches = 1, minimumConfidence = 0.2) { if (typeof input !== 'string') { @@ -135,7 +132,7 @@ class Classifier { // Convert the string to a tokenized object let tokens = this.tokenize(input) - if (this.vocabulary !== false) { + if (this._model.vocabulary !== false) { // If we're using a vocabulary, convert the tokens to a vector where all // indexes reference vocabulary terms const { vector } = this.vectorize(tokens) @@ -144,6 +141,9 @@ class Classifier { tokens = vector } + /** + * @type {Prediction[]} + */ const predictions = [] Object.keys(this._model.data).forEach((label) => { @@ -177,7 +177,7 @@ class Classifier { * Split a string into an array of lowercase words, with all non-letter characters removed * * @param {string} input - * @return {Array} + * @return {string[]} */ splitWords(input) { if (typeof input !== 'string') { @@ -202,7 +202,7 @@ class Classifier { * respective occurrences as values based on an input string, or array of words * * @param {(string|string[])} input - * @return {Object} + * @return {Record} */ tokenize(input) { let words = typeof input === 'string' ? this.splitWords(input) : input @@ -217,6 +217,9 @@ class Classifier { ) } + /** + * @type {Record} + */ let tokens = {} // Generate a list of n-grams along with their respective occurrences @@ -251,8 +254,8 @@ class Classifier { * translated to their index in the returned vocabulary (which is also * returned along with the object, with any new terms added to the end) * - * @param {Object} tokens - * @return {Object} + * @param {Record} tokens + * @return {{vector: Record, vocabulary: Vocabulary}} */ vectorize(tokens) { if (Object.getPrototypeOf(tokens) !== Object.prototype) { @@ -264,6 +267,9 @@ class Classifier { throw new Error('Cannot vectorize tokens when vocabulary is false') } + /** + * @type {Record} + */ const vector = {} const vocabulary = new Vocabulary(this._model.vocabulary.terms) @@ -288,9 +294,9 @@ class Classifier { /** * Return the cosine similarity between two vectors * - * @param {Object} v1 - * @param {Object} v2 - * @return {float} + * @param {Record} v1 + * @param {Record} v2 + * @return {number} */ cosineSimilarity(v1, v2) { if (Object.getPrototypeOf(v1) !== Object.prototype) { @@ -336,5 +342,3 @@ class Classifier { return prod / (v1Norm * v2Norm) } } - -export default Classifier diff --git a/src/Model.js b/src/Model.js index a27dbb6..04bc171 100644 --- a/src/Model.js +++ b/src/Model.js @@ -1,14 +1,14 @@ -import Vocabulary from './Vocabulary' +import { Vocabulary } from './Vocabulary.js' /** - * @param {Object} [config] - * @param {int} [config.nGramMin=1] - Minimum n-gram size - * @param {int} [config.nGramMax=1] - Maximum n-gram size - * @param {(Array|Set|false)} [config.vocabulary=[]] - Terms mapped to indexes in the model data entries, set to false to store terms directly in the data entries - * @param {Object} [config.data={}] - Key-value store containing all training data - * @constructor + * @typedef {Record>} ModelData + * @typedef {{ nGramMin: number, nGramMax: number, vocabulary: string[] | Set | false, data: ModelData }} ModelConfig */ -class Model { + +export class Model { + /** + * @param {Partial} config + */ constructor(config = {}) { if (Object.getPrototypeOf(config) !== Object.prototype) { throw new Error('config must be an object literal') @@ -22,11 +22,11 @@ class Model { ...config } - if (config.nGramMin !== parseInt(config.nGramMin, 10)) { + if (config.nGramMin !== parseInt(String(config.nGramMin), 10)) { throw new Error('Config value nGramMin must be an integer') } - if (config.nGramMax !== parseInt(config.nGramMax, 10)) { + if (config.nGramMax !== parseInt(String(config.nGramMax), 10)) { throw new Error('Config value nGramMax must be an integer') } @@ -46,30 +46,53 @@ class Model { config.vocabulary !== false && !(config.vocabulary instanceof Vocabulary) ) { - config.vocabulary = new Vocabulary(config.vocabulary) + /** + * @type {Vocabulary|false} + * @private + */ + this._vocabulary = new Vocabulary(config.vocabulary) + } else { + /** + * @type {Vocabulary|false} + * @private + */ + this._vocabulary = config.vocabulary } if (Object.getPrototypeOf(config.data) !== Object.prototype) { throw new Error('Config value data must be an object literal') } + /** + * @type {number} + * @private + */ this._nGramMin = config.nGramMin + + /** + * @type {number} + * @private + */ this._nGramMax = config.nGramMax - this._vocabulary = config.vocabulary + + /** + * @type {ModelData} + * @private + */ this._data = { ...config.data } } /** * Minimum n-gram size * - * @type {int} + * @type {number} */ get nGramMin() { return this._nGramMin } set nGramMin(size) { - if (size !== parseInt(size, 10)) { + if (size !== parseInt(String(size), 10)) { throw new Error('nGramMin must be an integer') } @@ -79,14 +102,14 @@ class Model { /** * Maximum n-gram size * - * @type {int} + * @type {number} */ get nGramMax() { return this._nGramMax } set nGramMax(size) { - if (size !== parseInt(size, 10)) { + if (size !== parseInt(String(size), 10)) { throw new Error('nGramMax must be an integer') } @@ -113,7 +136,7 @@ class Model { /** * Model data * - * @type {Object} + * @type {ModelData} */ get data() { return this._data @@ -132,16 +155,16 @@ class Model { * configured n-gram min/max values, the vocabulary as an array (if any, * otherwise false), and an object literal with all the training data * - * @return {Object} + * @return {ModelConfig} */ serialize() { return { nGramMin: this._nGramMin, nGramMax: this._nGramMax, - vocabulary: Array.from(this._vocabulary.terms), + vocabulary: this._vocabulary + ? Array.from(this._vocabulary.terms) + : false, data: this._data } } } - -export default Model diff --git a/src/Prediction.js b/src/Prediction.js index 6bd4db5..d3d1409 100644 --- a/src/Prediction.js +++ b/src/Prediction.js @@ -1,22 +1,23 @@ -/** - * @param {Object} prediction - * @constructor - * @hideconstructor - */ -class Prediction { +export class Prediction { + /** + * @param {{ label?: string, confidence?: number }} prediction + */ constructor(prediction = {}) { if (Object.getPrototypeOf(prediction) !== Object.prototype) { throw new Error('prediction must be an object literal') } - prediction = { - label: '', - confidence: 0, - ...prediction - } - - this._label = prediction.label - this._confidence = prediction.confidence + /** + * @type {string} + * @private + */ + this._label = prediction.label ?? '' + + /** + * @type {number} + * @private + */ + this._confidence = prediction.confidence ?? 0 } /** @@ -53,5 +54,3 @@ class Prediction { this._confidence = confidence } } - -export default Prediction diff --git a/src/Vocabulary.js b/src/Vocabulary.js index d322f7f..3436cf2 100644 --- a/src/Vocabulary.js +++ b/src/Vocabulary.js @@ -1,13 +1,16 @@ -/** - * @param {Array|Set} terms - * @constructor - */ -class Vocabulary { +export class Vocabulary { + /** + * @param {Array|Set} terms + */ constructor(terms = []) { if (!(terms instanceof Array) && !(terms instanceof Set)) { throw new Error('terms must be either an Array or a Set') } + /** + * @type {Set} + * @private + */ this._terms = new Set(terms) } @@ -23,7 +26,7 @@ class Vocabulary { /** * Vocabulary terms * - * @type {(Array|Set)} + * @type {Set} */ get terms() { return this._terms @@ -40,7 +43,7 @@ class Vocabulary { /** * Add one or more terms to the vocabulary * - * @param {(string|Array|Set)} terms + * @param {(string|Array|Set)} terms * @return {this} */ add(terms) { @@ -68,7 +71,7 @@ class Vocabulary { /** * Remove one or more terms from the vocabulary * - * @param {(string|Array|Set)} terms + * @param {(string|Array|Set)} terms * @return {this} */ remove(terms) { @@ -97,7 +100,7 @@ class Vocabulary { * Return whether the vocabulary contains a certain term * * @param {string} term - * @return {bool} + * @return {boolean} */ has(term) { return this._terms.has(term) @@ -117,5 +120,3 @@ class Vocabulary { return Array.from(this._terms).indexOf(term) } } - -export default Vocabulary diff --git a/src/index.js b/src/index.js index c995579..2b45105 100644 --- a/src/index.js +++ b/src/index.js @@ -1,8 +1,4 @@ -import Classifier from './Classifier' - -export { default as Model } from './Model' -export { default as Vocabulary } from './Vocabulary' -export { default as Prediction } from './Prediction' -export { Classifier as Classifier } - -export default Classifier +export { Classifier } from './Classifier.js'; +export { Model } from './Model.js'; +export { Vocabulary } from './Vocabulary.js'; +export { Prediction } from './Prediction.js'; diff --git a/webpack.config.js b/webpack.config.js deleted file mode 100755 index 2aaeb03..0000000 --- a/webpack.config.js +++ /dev/null @@ -1,35 +0,0 @@ -require('core-js/stable') -require('regenerator-runtime/runtime') - -const path = require('path') - -module.exports = { - entry: { - 'index': './src/index.js' - }, - output: { - path: path.resolve(__dirname, 'lib'), - filename: 'index.js', - libraryTarget: 'umd', - globalObject: 'this' - }, - module: { - rules: [ - { - test: /\.js$/, - exclude: /node_modules/, - use: { - loader: 'babel-loader', - options: { - plugins: [ - ['@babel/plugin-transform-runtime', { - corejs: 3, - }] - ], - presets: ['@babel/preset-env'] - } - } - } - ] - } -} From 21a2856a9c1ac661dd92d2159b19cd4980946e31 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 09:27:46 +0100 Subject: [PATCH 02/16] Removed more packages --- package.json | 6 - pnpm-lock.yaml | 3405 ++---------------------------------------------- 2 files changed, 139 insertions(+), 3272 deletions(-) diff --git a/package.json b/package.json index 6ab74f5..6fc773c 100644 --- a/package.json +++ b/package.json @@ -50,12 +50,6 @@ }, "homepage": "https://github.com/andreekeberg/ml-classify-text-js", "devDependencies": { - "core-js": "^3.27.2", - "cross-env": "^7.0.3", - "eslint": "^8.33.0", - "eslint-config-standard": "^17.0.0", - "eslint-plugin-node": "^11.1.0", - "jest": "^29.4.1", "jsdoc": "^4.0.0", "jsdoc-to-markdown": "^8.0.0", "rimraf": "^4.1.2", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index b1cec05..66688d6 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -10,24 +10,6 @@ dependencies: version: 5.1.1 devDependencies: - core-js: - specifier: ^3.27.2 - version: 3.36.1 - cross-env: - specifier: ^7.0.3 - version: 7.0.3 - eslint: - specifier: ^8.33.0 - version: 8.57.0 - 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src/Classifier.js | 221 ++++++++++++++++++++++------------------------ src/Model.js | 70 +++++++-------- src/Vocabulary.js | 62 ++++++------- 9 files changed, 277 insertions(+), 222 deletions(-) delete mode 100644 .editorconfig delete mode 100755 .eslintrc.js delete mode 100755 .prettierrc create mode 100644 biome.json diff --git a/.editorconfig b/.editorconfig deleted file mode 100644 index c1a910e..0000000 --- a/.editorconfig +++ /dev/null @@ -1,14 +0,0 @@ -# EditorConfig helps developers define and maintain -# consistent coding styles between different editors and IDEs. - -root = true - -[*] -end_of_line = lf -charset = utf-8 -trim_trailing_whitespace = true -insert_final_newline = true -indent_style = tab - -[*.md] -trim_trailing_whitespace = false diff --git a/.eslintrc.js b/.eslintrc.js deleted file mode 100755 index 4862a25..0000000 --- a/.eslintrc.js +++ /dev/null @@ -1,18 +0,0 @@ -module.exports = { - env: { - browser: true, - node: true, - es2021: true - }, - parserOptions: { - sourceType: 'module', - ecmaVersion: 2020 - }, - extends: ['eslint:recommended'], - rules: { - quotes: ['error', 'single', { avoidEscape: true }], - indent: 'off', - 'no-mixed-spaces-and-tabs': ['warn', 'smart-tabs'], - 'no-unused-vars': 'warn' - } -} diff --git a/.prettierrc b/.prettierrc deleted file mode 100755 index 67d0eb5..0000000 --- a/.prettierrc +++ /dev/null @@ -1,7 +0,0 @@ -{ - "trailingComma": "none", - "tabWidth": 4, - "useTabs": true, - "semi": false, - "singleQuote": true -} diff --git a/biome.json b/biome.json new file mode 100644 index 0000000..247f0e0 --- /dev/null +++ b/biome.json @@ -0,0 +1,15 @@ +{ + "$schema": "https://biomejs.dev/schemas/1.6.3/schema.json", + "organizeImports": { + "enabled": true + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true, + "style": { + "noParameterAssign": "off" + } + } + } +} diff --git a/package.json b/package.json index 6fc773c..0b00986 100644 --- a/package.json +++ b/package.json @@ -50,6 +50,7 @@ }, "homepage": "https://github.com/andreekeberg/ml-classify-text-js", "devDependencies": { + "@biomejs/biome": "1.6.3", "jsdoc": "^4.0.0", "jsdoc-to-markdown": "^8.0.0", "rimraf": "^4.1.2", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 66688d6..08d377f 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -10,6 +10,9 @@ dependencies: version: 5.1.1 devDependencies: + '@biomejs/biome': + specifier: 1.6.3 + version: 1.6.3 jsdoc: specifier: ^4.0.0 version: 4.0.2 @@ -60,6 +63,94 @@ packages: to-fast-properties: 2.0.0 dev: true + /@biomejs/biome@1.6.3: + resolution: {integrity: sha512-Xnp/TIpIcTnRA4LwerJuoGYQJEqwXtn5AL0U0OPXll/QGbAKmcUAfizU880xTwZRD4f53iceqODLDaD3wxYlIw==} + engines: {node: '>=14.*'} + hasBin: true + requiresBuild: true + optionalDependencies: + '@biomejs/cli-darwin-arm64': 1.6.3 + '@biomejs/cli-darwin-x64': 1.6.3 + '@biomejs/cli-linux-arm64': 1.6.3 + '@biomejs/cli-linux-arm64-musl': 1.6.3 + '@biomejs/cli-linux-x64': 1.6.3 + '@biomejs/cli-linux-x64-musl': 1.6.3 + '@biomejs/cli-win32-arm64': 1.6.3 + '@biomejs/cli-win32-x64': 1.6.3 + dev: true + + /@biomejs/cli-darwin-arm64@1.6.3: + resolution: {integrity: sha512-0E8PGu3/8HSkBJdtjno+niJE1ANS/12D7sPK65vw5lTBYmmaYwJdfclDp6XO0IAX7uVd3/YtXlsEua0SVrNt3Q==} + engines: {node: '>=14.*'} + cpu: [arm64] + os: [darwin] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-darwin-x64@1.6.3: + resolution: {integrity: sha512-UWu0We/aIRtWXgJKe6ygWt2xR0yXs64BwWqtZbfxBojRn3jgW8UdFAkV5yiUOX3TQlsV6BZH1EQaUAVsccUeeA==} + engines: {node: '>=14.*'} + cpu: [x64] + os: [darwin] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-linux-arm64-musl@1.6.3: + resolution: {integrity: sha512-AntGCSfLN1nPcQj4VOk3X2JgnDw07DaPC8BuBmRcsRmn+7GPSWLllVN5awIKlRPZEbGJtSnLkTiDc5Bxw8OiuA==} + engines: {node: '>=14.*'} + cpu: [arm64] + os: [linux] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-linux-arm64@1.6.3: + resolution: {integrity: sha512-wFVkQw38kOssfnkbpSh6ums5TaElw3RAt5i/VZwHmgR2nQgE0fHXLO7HwIE9VBkOEdbiIFq+2PxvFIHuJF3z3Q==} + engines: {node: '>=14.*'} + cpu: [arm64] + os: [linux] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-linux-x64-musl@1.6.3: + resolution: {integrity: sha512-GelAvGsUwbxfFpKLG+7+dvDmbrfkGqn08sL8CMQrGnhjE1krAqHWiXQsjfmi0UMFdMsk7hbc4oSAP+1+mrXcHQ==} + engines: {node: '>=14.*'} + cpu: [x64] + os: [linux] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-linux-x64@1.6.3: + resolution: {integrity: sha512-vyn8TQaTZg617hjqFitwGmb1St5XXvq6I3vmxU/QFalM74BryMSvYCrYWb2Yw/TkykdEwZTMGYp+SWHRb04fTg==} + engines: {node: '>=14.*'} + cpu: [x64] + os: [linux] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-win32-arm64@1.6.3: + resolution: {integrity: sha512-Gx8N2Tixke6pAI1BniteCVZgUUmaFEDYosdWxoaCus15BZI/7RcBxhsRM0ZL/lC66StSQ8vHl8JBrrld1k570Q==} + engines: {node: '>=14.*'} + cpu: [arm64] + os: [win32] + requiresBuild: true + dev: true + optional: true + + /@biomejs/cli-win32-x64@1.6.3: + resolution: {integrity: sha512-meungPJw64SqoR7LXY1wG7GC4+4wgpyThdFUMGXa6PCe0BLFOIOcZ9VMj9PstuczMPdgmt/BUMPsj25dK1VO8A==} + engines: {node: '>=14.*'} + cpu: [x64] + os: [win32] + requiresBuild: true + dev: true + optional: true + /@esbuild/aix-ppc64@0.19.12: resolution: {integrity: sha512-bmoCYyWdEL3wDQIVbcyzRyeKLgk2WtWLTWz1ZIAZF/EGbNOwSA6ew3PftJ1PqMiOOGu0OyFMzG53L0zqIpPeNA==} engines: {node: '>=12'} diff --git a/src/Classifier.js b/src/Classifier.js index f405d80..7bf1a04 100644 --- a/src/Classifier.js +++ b/src/Classifier.js @@ -1,7 +1,7 @@ -import XRegExp from 'xregexp' -import { Model } from './Model.js' -import { Prediction } from './Prediction.js' -import { Vocabulary } from './Vocabulary.js' +import XRegExp from "xregexp"; +import { Model } from "./Model.js"; +import { Prediction } from "./Prediction.js"; +import { Vocabulary } from "./Vocabulary.js"; export class Classifier { /** @@ -9,14 +9,14 @@ export class Classifier { */ constructor(model = {}) { if (!(model instanceof Model)) { - model = new Model(model) + model = new Model(model); } /** * @type {Model} * @private */ - this._model = model + this._model = model; } /** @@ -25,15 +25,15 @@ export class Classifier { * @type {Model} */ get model() { - return this._model + return this._model; } set model(model) { if (!(model instanceof Model)) { - model = new Model(model) + model = new Model(model); } - this._model = model + this._model = model; } /** @@ -44,60 +44,55 @@ export class Classifier { * @return {this} */ train(input, label) { - if (typeof input !== 'string' && !(input instanceof Array)) { - throw new Error('input must be either a string or Array') + if (typeof input !== "string" && !Array.isArray(input)) { + throw new Error("input must be either a string or Array"); } - if (typeof label !== 'string') { - throw new Error('label must be a string') + if (typeof label !== "string") { + throw new Error("label must be a string"); } // If input isn't an array, convert to a single item array - if (!(input instanceof Array)) { - input = [input] + if (!Array.isArray(input)) { + input = [input]; } - input.forEach((string) => { + for (const string of input) { // Convert the string to a tokenized object - let tokens = this.tokenize(string) + let tokens = this.tokenize(string); if (this._model.vocabulary !== false) { // If we're using a vocabulary, convert the tokens to a vector where all // indexes reference vocabulary terms - const { vector, vocabulary } = this.vectorize(tokens) + const { vector, vocabulary } = this.vectorize(tokens); // Overwrite the tokens object with our new vectorized object - tokens = vector + tokens = vector; // Update the model vocabulary - this._model.vocabulary = vocabulary + this._model.vocabulary = vocabulary; } // Set up an empty entry for the label if it does not exist - if ( - !Object.prototype.hasOwnProperty.call(this._model.data, label) - ) { - this._model.data[label] = {} + if (!Object.prototype.hasOwnProperty.call(this._model.data, label)) { + this._model.data[label] = {}; } // Add all occurrences to our model entry - Object.keys(tokens).forEach((index) => { - let occurrences = tokens[index] + for (const index of Object.keys(tokens)) { + const occurrences = tokens[index]; if ( - !Object.prototype.hasOwnProperty.call( - this._model.data[label], - index - ) + !Object.prototype.hasOwnProperty.call(this._model.data[label], index) ) { - this._model.data[label][index] = 0 + this._model.data[label][index] = 0; } - this._model.data[label][index] += occurrences - }) - }) + this._model.data[label][index] += occurrences; + } + } - return this + return this; } /** @@ -107,70 +102,67 @@ export class Classifier { * @return {Array} */ predict(input, maxMatches = 1, minimumConfidence = 0.2) { - if (typeof input !== 'string') { - throw new Error('input must be a string') + if (typeof input !== "string") { + throw new Error("input must be a string"); } - if (!['number', 'undefined'].includes(typeof maxMatches)) { - throw new Error('maxMatches must be either a number or undefined') + if (!["number", "undefined"].includes(typeof maxMatches)) { + throw new Error("maxMatches must be either a number or undefined"); } - if (!['number', 'undefined'].includes(typeof minimumConfidence)) { - throw new Error( - 'minimumConfidence must be either a number or undefined' - ) + if (!["number", "undefined"].includes(typeof minimumConfidence)) { + throw new Error("minimumConfidence must be either a number or undefined"); } if (minimumConfidence < 0) { - throw new Error('minimumConfidence can not be lower than 0') + throw new Error("minimumConfidence can not be lower than 0"); } if (minimumConfidence > 1) { - throw new Error('minimumConfidence can not be higher than 1') + throw new Error("minimumConfidence can not be higher than 1"); } // Convert the string to a tokenized object - let tokens = this.tokenize(input) + let tokens = this.tokenize(input); if (this._model.vocabulary !== false) { // If we're using a vocabulary, convert the tokens to a vector where all // indexes reference vocabulary terms - const { vector } = this.vectorize(tokens) + const { vector } = this.vectorize(tokens); // Overwrite the tokens object with our new vectorized object - tokens = vector + tokens = vector; } /** * @type {Prediction[]} */ - const predictions = [] - - Object.keys(this._model.data).forEach((label) => { - let entry = this._model.data[label] + const predictions = []; - let confidence = this.cosineSimilarity(tokens, entry) + for (const label of Object.keys(this._model.data)) { + const entry = this._model.data[label]; + const confidence = this.cosineSimilarity(tokens, entry); if (confidence >= minimumConfidence) { predictions.push( new Prediction({ label, - confidence + confidence, }) - ) + ); } - }) + } /* istanbul ignore next */ predictions.sort((a, b) => { if (a.confidence === b.confidence) { - return 0 + return 0; } - return a.confidence > b.confidence ? -1 : 1 - }) + return a.confidence > b.confidence ? -1 : 1; + }); - return predictions.slice(0, Math.min(predictions.length, maxMatches)) + return predictions.slice(0, Math.min(predictions.length, maxMatches)); } /** @@ -180,21 +172,21 @@ export class Classifier { * @return {string[]} */ splitWords(input) { - if (typeof input !== 'string') { - throw new Error('input must be a string') + if (typeof input !== "string") { + throw new Error("input must be a string"); } // Remove all apostrophes and dashes to keep words intact - input = input.replace(/'|´|’|-/g, '') + input = input.replace(/'|´|’|-/g, ""); // Lowercase all letters and replace all non-letter characters with a space input = XRegExp.replace( input.toLocaleLowerCase(), - XRegExp('\\P{L}+', 'g'), - ' ' - ).trim() + XRegExp("\\P{L}+", "g"), + " " + ).trim(); - return input.split(' ') + return input.split(" "); } /** @@ -205,48 +197,46 @@ export class Classifier { * @return {Record} */ tokenize(input) { - let words = typeof input === 'string' ? this.splitWords(input) : input + const words = typeof input === "string" ? this.splitWords(input) : input; - if (!(words instanceof Array)) { - throw new Error('input must be either a string or Array') + if (!Array.isArray(words)) { + throw new Error("input must be either a string or Array"); } if (this._model.nGramMax < this._model.nGramMin) { - throw new Error( - 'Invalid nGramMin/nGramMax combination in model config' - ) + throw new Error("Invalid nGramMin/nGramMax combination in model config"); } /** * @type {Record} */ - let tokens = {} + const tokens = {}; // Generate a list of n-grams along with their respective occurrences // based on the models configured min/max values words.forEach((word, index) => { - let sequence = '' + let sequence = ""; - words.slice(index).forEach((nextWord) => { - sequence += sequence ? ' ' + nextWord : nextWord - let tokenCount = sequence.split(' ').length + for (const nextWord of words.slice(index)) { + sequence += sequence ? ` ${nextWord}` : nextWord; + const tokenCount = sequence.split(" ").length; if ( tokenCount < this._model.nGramMin || tokenCount > this._model.nGramMax ) { - return + return; } if (!Object.prototype.hasOwnProperty.call(tokens, sequence)) { - tokens[sequence] = 0 + tokens[sequence] = 0; } - ++tokens[sequence] - }) - }) + ++tokens[sequence]; + } + }); - return tokens + return tokens; } /** @@ -259,36 +249,36 @@ export class Classifier { */ vectorize(tokens) { if (Object.getPrototypeOf(tokens) !== Object.prototype) { - throw new Error('tokens must be an object literal') + throw new Error("tokens must be an object literal"); } /* istanbul ignore next */ if (this._model.vocabulary === false) { - throw new Error('Cannot vectorize tokens when vocabulary is false') + throw new Error("Cannot vectorize tokens when vocabulary is false"); } /** * @type {Record} */ - const vector = {} - const vocabulary = new Vocabulary(this._model.vocabulary.terms) + const vector = {}; + const vocabulary = new Vocabulary(this._model.vocabulary.terms); - Object.keys(tokens).forEach((token) => { - let vocabularyIndex = vocabulary.indexOf(token) + for (const token of Object.keys(tokens)) { + let vocabularyIndex = vocabulary.indexOf(token); if (vocabularyIndex === -1) { - vocabulary.add(token) + vocabulary.add(token); - vocabularyIndex = vocabulary.size - 1 + vocabularyIndex = vocabulary.size - 1; } - vector[vocabularyIndex] = tokens[token] - }) + vector[vocabularyIndex] = tokens[token]; + } return { vector, - vocabulary - } + vocabulary, + }; } /** @@ -300,45 +290,44 @@ export class Classifier { */ cosineSimilarity(v1, v2) { if (Object.getPrototypeOf(v1) !== Object.prototype) { - throw new Error('v1 must be an object literal') + throw new Error("v1 must be an object literal"); } if (Object.getPrototypeOf(v2) !== Object.prototype) { - throw new Error('v2 must be an object literal') + throw new Error("v2 must be an object literal"); } - let prod = 0.0 - let v1Norm = 0.0 + let prod = 0.0; + let v1Norm = 0.0; - Object.keys(v1).forEach((i) => { - let xi = v1[i] + for (const i of Object.keys(v1)) { + const xi = v1[i]; if (Object.prototype.hasOwnProperty.call(v2, i)) { - prod += xi * v2[i] + prod += xi * v2[i]; } - v1Norm += xi * xi - }) + v1Norm += xi * xi; + } - v1Norm = Math.sqrt(v1Norm) + v1Norm = Math.sqrt(v1Norm); if (v1Norm === 0) { - return 0 + return 0; } - let v2Norm = 0.0 + let v2Norm = 0.0; - Object.keys(v2).forEach((i) => { - let xi = v2[i] - - v2Norm += xi * xi - }) + for (const i of Object.keys(v2)) { + const xi = v2[i]; + v2Norm += xi * xi; + } - v2Norm = Math.sqrt(v2Norm) + v2Norm = Math.sqrt(v2Norm); if (v2Norm === 0) { - return 0 + return 0; } - return prod / (v1Norm * v2Norm) + return prod / (v1Norm * v2Norm); } } diff --git a/src/Model.js b/src/Model.js index 04bc171..a88a466 100644 --- a/src/Model.js +++ b/src/Model.js @@ -1,4 +1,4 @@ -import { Vocabulary } from './Vocabulary.js' +import { Vocabulary } from "./Vocabulary.js"; /** * @typedef {Record>} ModelData @@ -11,7 +11,7 @@ export class Model { */ constructor(config = {}) { if (Object.getPrototypeOf(config) !== Object.prototype) { - throw new Error('config must be an object literal') + throw new Error("config must be an object literal"); } config = { @@ -19,27 +19,27 @@ export class Model { nGramMax: 1, vocabulary: [], data: {}, - ...config - } + ...config, + }; - if (config.nGramMin !== parseInt(String(config.nGramMin), 10)) { - throw new Error('Config value nGramMin must be an integer') + if (config.nGramMin !== Number.parseInt(String(config.nGramMin), 10)) { + throw new Error("Config value nGramMin must be an integer"); } - if (config.nGramMax !== parseInt(String(config.nGramMax), 10)) { - throw new Error('Config value nGramMax must be an integer') + if (config.nGramMax !== Number.parseInt(String(config.nGramMax), 10)) { + throw new Error("Config value nGramMax must be an integer"); } if (config.nGramMin < 1) { - throw new Error('Config value nGramMin must be at least 1') + throw new Error("Config value nGramMin must be at least 1"); } if (config.nGramMax < 1) { - throw new Error('Config value nGramMax must be at least 1') + throw new Error("Config value nGramMax must be at least 1"); } if (config.nGramMax < config.nGramMin) { - throw new Error('Invalid nGramMin/nGramMax combination in config') + throw new Error("Invalid nGramMin/nGramMax combination in config"); } if ( @@ -50,36 +50,36 @@ export class Model { * @type {Vocabulary|false} * @private */ - this._vocabulary = new Vocabulary(config.vocabulary) + this._vocabulary = new Vocabulary(config.vocabulary); } else { /** * @type {Vocabulary|false} * @private */ - this._vocabulary = config.vocabulary + this._vocabulary = config.vocabulary; } if (Object.getPrototypeOf(config.data) !== Object.prototype) { - throw new Error('Config value data must be an object literal') + throw new Error("Config value data must be an object literal"); } /** * @type {number} * @private */ - this._nGramMin = config.nGramMin + this._nGramMin = config.nGramMin; /** * @type {number} * @private */ - this._nGramMax = config.nGramMax + this._nGramMax = config.nGramMax; /** * @type {ModelData} * @private */ - this._data = { ...config.data } + this._data = { ...config.data }; } /** @@ -88,15 +88,15 @@ export class Model { * @type {number} */ get nGramMin() { - return this._nGramMin + return this._nGramMin; } set nGramMin(size) { - if (size !== parseInt(String(size), 10)) { - throw new Error('nGramMin must be an integer') + if (size !== Number.parseInt(String(size), 10)) { + throw new Error("nGramMin must be an integer"); } - this._nGramMin = size + this._nGramMin = size; } /** @@ -105,15 +105,15 @@ export class Model { * @type {number} */ get nGramMax() { - return this._nGramMax + return this._nGramMax; } set nGramMax(size) { - if (size !== parseInt(String(size), 10)) { - throw new Error('nGramMax must be an integer') + if (size !== Number.parseInt(String(size), 10)) { + throw new Error("nGramMax must be an integer"); } - this._nGramMax = size + this._nGramMax = size; } /** @@ -122,15 +122,15 @@ export class Model { * @type {(Vocabulary|false)} */ get vocabulary() { - return this._vocabulary + return this._vocabulary; } set vocabulary(vocabulary) { if (vocabulary !== false && !(vocabulary instanceof Vocabulary)) { - vocabulary = new Vocabulary(vocabulary) + vocabulary = new Vocabulary(vocabulary); } - this._vocabulary = vocabulary + this._vocabulary = vocabulary; } /** @@ -139,15 +139,15 @@ export class Model { * @type {ModelData} */ get data() { - return this._data + return this._data; } set data(data) { if (!(data instanceof Object) || data.constructor !== Object) { - throw new Error('data must be an object literal') + throw new Error("data must be an object literal"); } - this._data = { ...data } + this._data = { ...data }; } /** @@ -161,10 +161,8 @@ export class Model { return { nGramMin: this._nGramMin, nGramMax: this._nGramMax, - vocabulary: this._vocabulary - ? Array.from(this._vocabulary.terms) - : false, - data: this._data - } + vocabulary: this._vocabulary ? Array.from(this._vocabulary.terms) : false, + data: this._data, + }; } } diff --git a/src/Vocabulary.js b/src/Vocabulary.js index 3436cf2..d52925b 100644 --- a/src/Vocabulary.js +++ b/src/Vocabulary.js @@ -3,15 +3,15 @@ export class Vocabulary { * @param {Array|Set} terms */ constructor(terms = []) { - if (!(terms instanceof Array) && !(terms instanceof Set)) { - throw new Error('terms must be either an Array or a Set') + if (!Array.isArray(terms) && !(terms instanceof Set)) { + throw new Error("terms must be either an Array or a Set"); } /** * @type {Set} * @private */ - this._terms = new Set(terms) + this._terms = new Set(terms); } /** @@ -20,7 +20,7 @@ export class Vocabulary { * @type {number} */ get size() { - return this._terms.size + return this._terms.size; } /** @@ -29,15 +29,15 @@ export class Vocabulary { * @type {Set} */ get terms() { - return this._terms + return this._terms; } set terms(terms) { - if (!(terms instanceof Array) && !(terms instanceof Set)) { - throw new Error('terms must be either an Array or a Set') + if (!Array.isArray(terms) && !(terms instanceof Set)) { + throw new Error("terms must be either an Array or a Set"); } - this._terms = new Set(terms) + this._terms = new Set(terms); } /** @@ -48,24 +48,24 @@ export class Vocabulary { */ add(terms) { if ( - typeof terms !== 'string' && - !(terms instanceof Array) && + typeof terms !== "string" && + !Array.isArray(terms) && !(terms instanceof Set) ) { - throw new Error('terms must be either a string, Array or Set') + throw new Error("terms must be either a string, Array or Set"); } - if (typeof terms === 'string') { - terms = [terms] + if (typeof terms === "string") { + terms = [terms]; } else if (terms instanceof Set) { - terms = Array.from(terms) + terms = Array.from(terms); } - terms.forEach((term) => { - this._terms.add(term) - }) + for (const term of terms) { + this._terms.add(term); + } - return this + return this; } /** @@ -76,24 +76,24 @@ export class Vocabulary { */ remove(terms) { if ( - typeof terms !== 'string' && - !(terms instanceof Array) && + typeof terms !== "string" && + !Array.isArray(terms) && !(terms instanceof Set) ) { - throw new Error('terms must be either a string, Array or Set') + throw new Error("terms must be either a string, Array or Set"); } - if (typeof terms === 'string') { - terms = [terms] + if (typeof terms === "string") { + terms = [terms]; } else if (terms instanceof Set) { - terms = Array.from(terms) + terms = Array.from(terms); } - terms.forEach((term) => { - this._terms.delete(term) - }) + for (const term of terms) { + this._terms.delete(term); + } - return this + return this; } /** @@ -103,7 +103,7 @@ export class Vocabulary { * @return {boolean} */ has(term) { - return this._terms.has(term) + return this._terms.has(term); } /** @@ -114,9 +114,9 @@ export class Vocabulary { */ indexOf(term) { if (!this._terms.has(term)) { - return -1 + return -1; } - return Array.from(this._terms).indexOf(term) + return Array.from(this._terms).indexOf(term); } } From 0268855e71602000050d2391ecae51e0100f016c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 09:41:24 +0100 Subject: [PATCH 04/16] Biome linter --- src/index.js | 8 +- test/Classifier.test.js | 512 ++++++++++++++++++++-------------------- test/Model.test.js | 246 +++++++++---------- test/Prediction.test.js | 100 ++++---- test/Vocabulary.test.js | 238 +++++++++---------- 5 files changed, 544 insertions(+), 560 deletions(-) diff --git a/src/index.js b/src/index.js index 2b45105..9b62e20 100644 --- a/src/index.js +++ b/src/index.js @@ -1,4 +1,4 @@ -export { Classifier } from './Classifier.js'; -export { Model } from './Model.js'; -export { Vocabulary } from './Vocabulary.js'; -export { Prediction } from './Prediction.js'; +export { Classifier } from "./Classifier.js"; +export { Model } from "./Model.js"; +export { Vocabulary } from "./Vocabulary.js"; +export { Prediction } from "./Prediction.js"; diff --git a/test/Classifier.test.js b/test/Classifier.test.js index bb274b7..65c481c 100644 --- a/test/Classifier.test.js +++ b/test/Classifier.test.js @@ -1,427 +1,423 @@ -import Classifier from '../src/Classifier' -import Model from '../src/Model' +import { Classifier } from "../src/Classifier.js"; +import { Model } from "../src/Model.js"; -describe('Classifier', () => { - describe('constructor', () => { - test('should set the model when passed a model instance', () => { +describe("Classifier", () => { + describe("constructor", () => { + test("should set the model when passed a model instance", () => { const classifier = new Classifier( new Model({ - nGramMax: 4 + nGramMax: 4, }) - ) + ); - expect(classifier.model.nGramMax).toStrictEqual(4) - }) + expect(classifier.model.nGramMax).toStrictEqual(4); + }); - test('should set the model when passed an object literal', () => { + test("should set the model when passed an object literal", () => { const classifier = new Classifier({ - nGramMax: 5 - }) + nGramMax: 5, + }); - expect(classifier.model.nGramMax).toStrictEqual(5) - }) - }) + expect(classifier.model.nGramMax).toStrictEqual(5); + }); + }); - describe('model', () => { - test('should return a model instance', () => { - let classifier = new Classifier() + describe("model", () => { + test("should return a model instance", () => { + const classifier = new Classifier(); - expect(classifier.model).toBeInstanceOf(Model) - }) + expect(classifier.model).toBeInstanceOf(Model); + }); - test('should set the current model when passed a model instance', () => { - let classifier = new Classifier() + test("should set the current model when passed a model instance", () => { + const classifier = new Classifier(); classifier.model = new Model({ - nGramMax: 3 - }) + nGramMax: 3, + }); - expect(classifier.model.nGramMax).toStrictEqual(3) - }) + expect(classifier.model.nGramMax).toStrictEqual(3); + }); - test('should set the current model to a new model instance when passed an object literal', () => { - let classifier = new Classifier() + test("should set the current model to a new model instance when passed an object literal", () => { + const classifier = new Classifier(); - classifier.model = {} + classifier.model = {}; - expect(classifier.model).toBeInstanceOf(Model) - }) - }) + expect(classifier.model).toBeInstanceOf(Model); + }); + }); - describe('splitWords', () => { - test('should throw an error if input is not a string', () => { - const classifier = new Classifier() + describe("splitWords", () => { + test("should throw an error if input is not a string", () => { + const classifier = new Classifier(); - expect(() => classifier.splitWords(1)).toThrow(Error) - }) + expect(() => classifier.splitWords(1)).toThrow(Error); + }); - test('should split a string into an array of words', () => { - const classifier = new Classifier() + test("should split a string into an array of words", () => { + const classifier = new Classifier(); - expect(classifier.splitWords('Hello world!')).toStrictEqual([ - 'hello', - 'world' - ]) - }) - }) + expect(classifier.splitWords("Hello world!")).toStrictEqual([ + "hello", + "world", + ]); + }); + }); - describe('tokenize', () => { - test('should throw an error if input is neither a string or array', () => { - const classifier = new Classifier() + describe("tokenize", () => { + test("should throw an error if input is neither a string or array", () => { + const classifier = new Classifier(); - expect(() => classifier.tokenize({})).toThrow(Error) - }) + expect(() => classifier.tokenize({})).toThrow(Error); + }); - test('should throw an error if nGramMax is less than nGramMin in model config', () => { - const classifier = new Classifier() + test("should throw an error if nGramMax is less than nGramMin in model config", () => { + const classifier = new Classifier(); - classifier.model.nGramMin = 2 + classifier.model.nGramMin = 2; - expect(() => classifier.tokenize('Hello world!')).toThrow(Error) - }) + expect(() => classifier.tokenize("Hello world!")).toThrow(Error); + }); - test('should return an object literal of tokens and their occurrences from a string', () => { - const classifier = new Classifier() + test("should return an object literal of tokens and their occurrences from a string", () => { + const classifier = new Classifier(); - expect(classifier.tokenize('Hello world!')).toStrictEqual({ + expect(classifier.tokenize("Hello world!")).toStrictEqual({ hello: 1, - world: 1 - }) - }) + world: 1, + }); + }); - test('should return an object literal of tokens and their occurrences from a string', () => { - const classifier = new Classifier() + test("should return an object literal of tokens and their occurrences from a string", () => { + const classifier = new Classifier(); - expect(classifier.tokenize('Hello world!')).toStrictEqual({ + expect(classifier.tokenize("Hello world!")).toStrictEqual({ hello: 1, - world: 1 - }) - }) + world: 1, + }); + }); - test('should return an object literal of tokens and their occurrences from a array', () => { - const classifier = new Classifier() + test("should return an object literal of tokens and their occurrences from a array", () => { + const classifier = new Classifier(); - expect(classifier.tokenize(['hello', 'world'])).toStrictEqual({ + expect(classifier.tokenize(["hello", "world"])).toStrictEqual({ hello: 1, - world: 1 - }) - }) + world: 1, + }); + }); - test('should return an object literal of bigrams when nGramMin/nGramMax is 2', () => { + test("should return an object literal of bigrams when nGramMin/nGramMax is 2", () => { const classifier = new Classifier({ nGramMin: 2, - nGramMax: 2 - }) + nGramMax: 2, + }); - expect(classifier.tokenize('Hello world!')).toStrictEqual({ - 'hello world': 1 - }) - }) + expect(classifier.tokenize("Hello world!")).toStrictEqual({ + "hello world": 1, + }); + }); - test('should return an object literal of unigrams and bigrams when nGramMin/nGramMax is 1/2', () => { + test("should return an object literal of unigrams and bigrams when nGramMin/nGramMax is 1/2", () => { const classifier = new Classifier({ nGramMin: 1, - nGramMax: 2 - }) + nGramMax: 2, + }); - expect(classifier.tokenize('Hello world!')).toStrictEqual({ + expect(classifier.tokenize("Hello world!")).toStrictEqual({ hello: 1, - 'hello world': 1, - world: 1 - }) - }) + "hello world": 1, + world: 1, + }); + }); - test('should increment the occurrence of the duplicate tokens', () => { - const classifier = new Classifier() + test("should increment the occurrence of the duplicate tokens", () => { + const classifier = new Classifier(); - expect(classifier.tokenize('Hello hello!')).toStrictEqual({ - hello: 2 - }) - }) - }) + expect(classifier.tokenize("Hello hello!")).toStrictEqual({ + hello: 2, + }); + }); + }); - describe('vectorize', () => { - test('should throw an error if input is not an object literal', () => { - const classifier = new Classifier() + describe("vectorize", () => { + test("should throw an error if input is not an object literal", () => { + const classifier = new Classifier(); - expect(() => classifier.vectorize([])).toThrow(Error) - }) + expect(() => classifier.vectorize([])).toThrow(Error); + }); - test('should throw an error if vocabulary config option is set to false', () => { + test("should throw an error if vocabulary config option is set to false", () => { const classifier = new Classifier({ - vocabulary: false - }) + vocabulary: false, + }); - expect(() => classifier.vectorize({ hello: 1 })).toThrow(Error) - }) + expect(() => classifier.vectorize({ hello: 1 })).toThrow(Error); + }); - test('should convert key to its corresponding vocabulary term index', () => { - const classifier = new Classifier() - const tokens = classifier.tokenize('Hello') + test("should convert key to its corresponding vocabulary term index", () => { + const classifier = new Classifier(); + const tokens = classifier.tokenize("Hello"); - const { vector } = classifier.vectorize(tokens) + const { vector } = classifier.vectorize(tokens); - expect(vector).toStrictEqual({ 0: 1 }) - }) + expect(vector).toStrictEqual({ 0: 1 }); + }); - test('should use existing term index when token is already in vocabulary', () => { + test("should use existing term index when token is already in vocabulary", () => { const classifier = new Classifier({ - vocabulary: ['hello', 'world'] - }) + vocabulary: ["hello", "world"], + }); - const tokens = classifier.tokenize('world') + const tokens = classifier.tokenize("world"); - const { vector } = classifier.vectorize(tokens) + const { vector } = classifier.vectorize(tokens); - expect(vector).toStrictEqual({ 1: 1 }) - }) + expect(vector).toStrictEqual({ 1: 1 }); + }); - test('should return an updated copy of the vocabulary', () => { - const classifier = new Classifier() + test("should return an updated copy of the vocabulary", () => { + const classifier = new Classifier(); - const tokens = classifier.tokenize('Hello world') + const tokens = classifier.tokenize("Hello world"); - const { vocabulary } = classifier.vectorize(tokens) + const { vocabulary } = classifier.vectorize(tokens); - const terms = vocabulary.terms + const terms = vocabulary.terms; - expect(Array.from(terms)).toStrictEqual(['hello', 'world']) - }) - }) + expect(Array.from(terms)).toStrictEqual(["hello", "world"]); + }); + }); - describe('train', () => { - test('should throw an error if input is not a string or array', () => { - const classifier = new Classifier() + describe("train", () => { + test("should throw an error if input is not a string or array", () => { + const classifier = new Classifier(); - expect(() => classifier.train({}, 'test')).toThrow(Error) - }) + expect(() => classifier.train({}, "test")).toThrow(Error); + }); - test('should throw an error if label is not a string', () => { - const classifier = new Classifier() + test("should throw an error if label is not a string", () => { + const classifier = new Classifier(); - expect(() => classifier.train('test', [])).toThrow(Error) - }) + expect(() => classifier.train("test", [])).toThrow(Error); + }); - test('should add tokens to the vocabulary (if not configured to false)', () => { - const classifier = new Classifier() + test("should add tokens to the vocabulary (if not configured to false)", () => { + const classifier = new Classifier(); - classifier.train('hello world', 'test') + classifier.train("hello world", "test"); - const vocabulary = classifier.model.vocabulary + const vocabulary = classifier.model.vocabulary; - expect(vocabulary.size).toStrictEqual(2) - }) + expect(vocabulary.size).toStrictEqual(2); + }); - test('should add tokens (and their occurrences) to the model from a string', () => { - const classifier = new Classifier() + test("should add tokens (and their occurrences) to the model from a string", () => { + const classifier = new Classifier(); - classifier.train('hello world', 'test') + classifier.train("hello world", "test"); - const model = classifier.model + const model = classifier.model; expect(model.data).toStrictEqual({ - test: { 0: 1, 1: 1 } - }) - }) + test: { 0: 1, 1: 1 }, + }); + }); - test('should add tokens (and their occurrences) to the model from an array of strings', () => { - const classifier = new Classifier() + test("should add tokens (and their occurrences) to the model from an array of strings", () => { + const classifier = new Classifier(); - classifier.train(['hello world', 'foo', 'bar'], 'test') + classifier.train(["hello world", "foo", "bar"], "test"); - const model = classifier.model + const model = classifier.model; expect(model.data).toStrictEqual({ - test: { 0: 1, 1: 1, 2: 1, 3: 1 } - }) - }) + test: { 0: 1, 1: 1, 2: 1, 3: 1 }, + }); + }); - test('should increment the occurrence of an existing vocabulary term', () => { - const classifier = new Classifier() + test("should increment the occurrence of an existing vocabulary term", () => { + const classifier = new Classifier(); - classifier.train(['hello world', 'foo', 'hello'], 'test') + classifier.train(["hello world", "foo", "hello"], "test"); - const model = classifier.model + const model = classifier.model; expect(model.data).toStrictEqual({ - test: { 0: 2, 1: 1, 2: 1 } - }) - }) + test: { 0: 2, 1: 1, 2: 1 }, + }); + }); - test('should return classifier instance', () => { - const classifier = new Classifier() + test("should return classifier instance", () => { + const classifier = new Classifier(); - expect(classifier.train('hello world', 'test')).toStrictEqual( - classifier - ) - }) - }) + expect(classifier.train("hello world", "test")).toStrictEqual(classifier); + }); + }); - describe('cosineSimilarity', () => { - test('should throw an error if v1 is not an object literal', () => { - const classifier = new Classifier() + describe("cosineSimilarity", () => { + test("should throw an error if v1 is not an object literal", () => { + const classifier = new Classifier(); - expect(() => classifier.cosineSimilarity(false, {})).toThrow(Error) - }) + expect(() => classifier.cosineSimilarity(false, {})).toThrow(Error); + }); - test('should throw an error if v2 is not an object literal', () => { - const classifier = new Classifier() + test("should throw an error if v2 is not an object literal", () => { + const classifier = new Classifier(); - expect(() => classifier.cosineSimilarity({}, false)).toThrow(Error) - }) + expect(() => classifier.cosineSimilarity({}, false)).toThrow(Error); + }); - test('should return 1 on identical object literals', () => { - const classifier = new Classifier() + test("should return 1 on identical object literals", () => { + const classifier = new Classifier(); expect( classifier.cosineSimilarity( { - 0: 1 + 0: 1, }, { - 0: 1 + 0: 1, } ) - ).toStrictEqual(1) - }) + ).toStrictEqual(1); + }); - test('should return 0 on object literals with no similarity', () => { - const classifier = new Classifier() + test("should return 0 on object literals with no similarity", () => { + const classifier = new Classifier(); expect( classifier.cosineSimilarity( { - 0: 1 + 0: 1, }, { - 1: 1 + 1: 1, } ) - ).toStrictEqual(0) - }) + ).toStrictEqual(0); + }); - test('should return > 0 on similar object literals', () => { - const classifier = new Classifier() + test("should return > 0 on similar object literals", () => { + const classifier = new Classifier(); expect( classifier.cosineSimilarity( { 0: 1, - 1: 1 + 1: 1, }, { 0: 1, - 2: 1 + 2: 1, } ) - ).toBeGreaterThan(0) - }) + ).toBeGreaterThan(0); + }); - test('should return 0 when sum of v1 is 0', () => { - const classifier = new Classifier() + test("should return 0 when sum of v1 is 0", () => { + const classifier = new Classifier(); expect( classifier.cosineSimilarity( { - 0: 0 + 0: 0, }, { - 0: 1 + 0: 1, } ) - ).toStrictEqual(0) - }) + ).toStrictEqual(0); + }); - test('should return 0 when sum of v2 is 0', () => { - const classifier = new Classifier() + test("should return 0 when sum of v2 is 0", () => { + const classifier = new Classifier(); expect( classifier.cosineSimilarity( { - 0: 1 + 0: 1, }, { - 0: 0 + 0: 0, } ) - ).toStrictEqual(0) - }) - }) + ).toStrictEqual(0); + }); + }); - describe('predict', () => { - test('should throw an error if input is not a string', () => { - const classifier = new Classifier() + describe("predict", () => { + test("should throw an error if input is not a string", () => { + const classifier = new Classifier(); - expect(() => classifier.predict([])).toThrow(Error) - }) + expect(() => classifier.predict([])).toThrow(Error); + }); - test('should throw an error if maxMatches is not a number', () => { - const classifier = new Classifier() + test("should throw an error if maxMatches is not a number", () => { + const classifier = new Classifier(); - expect(() => classifier.predict('', 'test')).toThrow(Error) - }) + expect(() => classifier.predict("", "test")).toThrow(Error); + }); - test('should throw an error if minimumConfidence is not a number', () => { - const classifier = new Classifier() + test("should throw an error if minimumConfidence is not a number", () => { + const classifier = new Classifier(); - expect(() => classifier.predict('', undefined, 'test')).toThrow( - Error - ) - }) + expect(() => classifier.predict("", undefined, "test")).toThrow(Error); + }); - test('should throw an error if minimumConfidence is lower than 0', () => { - const classifier = new Classifier() + test("should throw an error if minimumConfidence is lower than 0", () => { + const classifier = new Classifier(); - expect(() => classifier.predict('', undefined, -1)).toThrow(Error) - }) + expect(() => classifier.predict("", undefined, -1)).toThrow(Error); + }); - test('should throw an error if minimumConfidence is higher than 1', () => { - const classifier = new Classifier() + test("should throw an error if minimumConfidence is higher than 1", () => { + const classifier = new Classifier(); - expect(() => classifier.predict('', undefined, 2)).toThrow(Error) - }) + expect(() => classifier.predict("", undefined, 2)).toThrow(Error); + }); - test('should return an array', () => { - const classifier = new Classifier() + test("should return an array", () => { + const classifier = new Classifier(); - expect(classifier.predict('test')).toBeInstanceOf(Array) - }) + expect(classifier.predict("test")).toBeInstanceOf(Array); + }); - test('should return one prediction when trained with a sample', () => { - const classifier = new Classifier() + test("should return one prediction when trained with a sample", () => { + const classifier = new Classifier(); - classifier.train('hello world', 'test') + classifier.train("hello world", "test"); - expect(classifier.predict('hello world').length).toStrictEqual(1) - }) + expect(classifier.predict("hello world").length).toStrictEqual(1); + }); - test('should not include predictions with a confidence below the configured minimumConfidence', () => { - const classifier = new Classifier() + test("should not include predictions with a confidence below the configured minimumConfidence", () => { + const classifier = new Classifier(); - classifier.train('hello world', 'test') + classifier.train("hello world", "test"); - const minimumConfidence = 0.8 + const minimumConfidence = 0.8; const predictions = classifier.predict( - 'hello', + "hello", undefined, minimumConfidence - ) + ); expect( predictions.filter((prediction) => { - return prediction.confidence < minimumConfidence + return prediction.confidence < minimumConfidence; }).length - ).toStrictEqual(0) - }) + ).toStrictEqual(0); + }); - test('should not update the model vocabulary', () => { - const classifier = new Classifier() + test("should not update the model vocabulary", () => { + const classifier = new Classifier(); - classifier.train('hello world', 'test') - classifier.predict('hello foo world') + classifier.train("hello world", "test"); + classifier.predict("hello foo world"); - expect(classifier.model.vocabulary.has('foo')).toStrictEqual(false) - }) - }) -}) + expect(classifier.model.vocabulary.has("foo")).toStrictEqual(false); + }); + }); +}); diff --git a/test/Model.test.js b/test/Model.test.js index 33fff16..5d926ac 100644 --- a/test/Model.test.js +++ b/test/Model.test.js @@ -1,206 +1,206 @@ -import Model from '../src/Model' -import Vocabulary from '../src/Vocabulary' +import { Model } from "../src/Model.js"; +import { Vocabulary } from "../src/Vocabulary.js"; -describe('Model', () => { - describe('constructor', () => { - test('should throw an error if config is not an object literal', () => { - expect(() => new Model([])).toThrow(Error) - }) +describe("Model", () => { + describe("constructor", () => { + test("should throw an error if config is not an object literal", () => { + expect(() => new Model([])).toThrow(Error); + }); - test('should throw an error if config option nGramMin is not a number', () => { + test("should throw an error if config option nGramMin is not a number", () => { expect( () => new Model({ - nGramMin: '' + nGramMin: "", }) - ).toThrow(Error) - }) + ).toThrow(Error); + }); - test('should throw an error if config option nGramMax is not a number', () => { + test("should throw an error if config option nGramMax is not a number", () => { expect( () => new Model({ - nGramMax: '' + nGramMax: "", }) - ).toThrow(Error) - }) + ).toThrow(Error); + }); - test('should throw an error if config option nGramMin is less than 1', () => { + test("should throw an error if config option nGramMin is less than 1", () => { expect( () => new Model({ - nGramMin: 0 + nGramMin: 0, }) - ).toThrow(Error) - }) + ).toThrow(Error); + }); - test('should throw an error if config option nGramMax is less than 1', () => { + test("should throw an error if config option nGramMax is less than 1", () => { expect( () => new Model({ - nGramMax: 0 + nGramMax: 0, }) - ).toThrow(Error) - }) + ).toThrow(Error); + }); - test('should throw an error if config option nGramMax is less than nGramMin', () => { + test("should throw an error if config option nGramMax is less than nGramMin", () => { expect( () => new Model({ nGramMin: 2, - nGramMax: 1 + nGramMax: 1, }) - ).toThrow(Error) - }) + ).toThrow(Error); + }); - test('should throw an error if data is not an object literal', () => { + test("should throw an error if data is not an object literal", () => { expect( () => new Model({ - data: [] + data: [], }) - ).toThrow(Error) - }) - }) + ).toThrow(Error); + }); + }); - describe('nGramMin', () => { - test('should return a number', () => { - const model = new Model() + describe("nGramMin", () => { + test("should return a number", () => { + const model = new Model(); - expect(typeof model.nGramMin).toStrictEqual('number') - }) + expect(typeof model.nGramMin).toStrictEqual("number"); + }); - test('should return the current nGramMin value', () => { + test("should return the current nGramMin value", () => { const model = new Model({ nGramMin: 3, - nGramMax: 4 - }) + nGramMax: 4, + }); - expect(model.nGramMin).toStrictEqual(3) - }) + expect(model.nGramMin).toStrictEqual(3); + }); - test('should set the nGramMin value', () => { - const model = new Model() + test("should set the nGramMin value", () => { + const model = new Model(); - model.nGramMin = 2 + model.nGramMin = 2; - expect(model.nGramMin).toStrictEqual(2) - }) + expect(model.nGramMin).toStrictEqual(2); + }); - test('should throw an error if size is not an integer', () => { - const model = new Model() + test("should throw an error if size is not an integer", () => { + const model = new Model(); expect(() => { - model.nGramMin = 1.1 - }).toThrow(Error) - }) - }) + model.nGramMin = 1.1; + }).toThrow(Error); + }); + }); - describe('nGramMax', () => { - test('should return a number', () => { - const model = new Model() + describe("nGramMax", () => { + test("should return a number", () => { + const model = new Model(); - expect(typeof model.nGramMax).toStrictEqual('number') - }) + expect(typeof model.nGramMax).toStrictEqual("number"); + }); - test('should return the current nGramMax value', () => { + test("should return the current nGramMax value", () => { const model = new Model({ - nGramMax: 2 - }) + nGramMax: 2, + }); - expect(model.nGramMax).toStrictEqual(2) - }) + expect(model.nGramMax).toStrictEqual(2); + }); - test('should set the nGramMax value', () => { - const model = new Model() + test("should set the nGramMax value", () => { + const model = new Model(); - model.nGramMax = 3 + model.nGramMax = 3; - expect(model.nGramMax).toStrictEqual(3) - }) + expect(model.nGramMax).toStrictEqual(3); + }); - test('should throw an error if size is not an integer', () => { - const model = new Model() + test("should throw an error if size is not an integer", () => { + const model = new Model(); expect(() => { - model.nGramMax = 1.1 - }).toThrow(Error) - }) - }) + model.nGramMax = 1.1; + }).toThrow(Error); + }); + }); - describe('vocabulary', () => { - test('should return a vocabulary instance', () => { - const model = new Model() + describe("vocabulary", () => { + test("should return a vocabulary instance", () => { + const model = new Model(); - expect(model.vocabulary).toBeInstanceOf(Vocabulary) - }) + expect(model.vocabulary).toBeInstanceOf(Vocabulary); + }); - test('should return false when vocabulary is configured to false', () => { + test("should return false when vocabulary is configured to false", () => { const model = new Model({ - vocabulary: false - }) + vocabulary: false, + }); - expect(model.vocabulary).toStrictEqual(false) - }) + expect(model.vocabulary).toStrictEqual(false); + }); - test('should set the vocabulary value when passing an array', () => { - const model = new Model() + test("should set the vocabulary value when passing an array", () => { + const model = new Model(); - model.vocabulary = ['hello', 'world'] + model.vocabulary = ["hello", "world"]; expect(Array.from(model.vocabulary.terms)).toStrictEqual([ - 'hello', - 'world' - ]) - }) + "hello", + "world", + ]); + }); - test('should set the vocabulary value when passing false', () => { - const model = new Model() + test("should set the vocabulary value when passing false", () => { + const model = new Model(); - model.vocabulary = false + model.vocabulary = false; - expect(model.vocabulary).toStrictEqual(false) - }) - }) + expect(model.vocabulary).toStrictEqual(false); + }); + }); - describe('data', () => { - test('should return an object literal', () => { - const model = new Model() + describe("data", () => { + test("should return an object literal", () => { + const model = new Model(); - expect(model.data).toStrictEqual({}) - }) + expect(model.data).toStrictEqual({}); + }); - test('should set the model data', () => { - const model = new Model() + test("should set the model data", () => { + const model = new Model(); model.data = { - test: { 0: 1 } - } + test: { 0: 1 }, + }; expect(model.data).toStrictEqual({ - test: { 0: 1 } - }) - }) + test: { 0: 1 }, + }); + }); - test('should throw an error if data is not an object literal', () => { - const model = new Model() + test("should throw an error if data is not an object literal", () => { + const model = new Model(); expect(() => { - model.data = [] - }).toThrow(Error) - }) - }) + model.data = []; + }).toThrow(Error); + }); + }); - describe('serialize', () => { - test('should return an object literal created from the current model', () => { - const model = new Model() + describe("serialize", () => { + test("should return an object literal created from the current model", () => { + const model = new Model(); expect(model.serialize()).toStrictEqual({ nGramMin: 1, nGramMax: 1, vocabulary: [], - data: {} - }) - }) - }) -}) + data: {}, + }); + }); + }); +}); diff --git a/test/Prediction.test.js b/test/Prediction.test.js index d2b3f84..3e24e9c 100644 --- a/test/Prediction.test.js +++ b/test/Prediction.test.js @@ -1,73 +1,73 @@ -import Prediction from '../src/Prediction' +import { Prediction } from "../src/Prediction.js"; -describe('Prediction', () => { - describe('constructor', () => { - test('should throw an error if prediction is not an object literal', () => { - expect(() => new Prediction([])).toThrow(Error) - }) - }) +describe("Prediction", () => { + describe("constructor", () => { + test("should throw an error if prediction is not an object literal", () => { + expect(() => new Prediction([])).toThrow(Error); + }); + }); - describe('label', () => { - test('should throw an error if label is not a string', () => { - const prediction = new Prediction() + describe("label", () => { + test("should throw an error if label is not a string", () => { + const prediction = new Prediction(); expect(() => { - prediction.label = [] - }).toThrow(Error) - }) + prediction.label = []; + }).toThrow(Error); + }); - test('should return a string', () => { - const prediction = new Prediction() + test("should return a string", () => { + const prediction = new Prediction(); - expect(typeof prediction.label).toStrictEqual('string') - }) + expect(typeof prediction.label).toStrictEqual("string"); + }); - test('should return the defined prediction label', () => { + test("should return the defined prediction label", () => { const prediction = new Prediction({ - label: 'test' - }) + label: "test", + }); - expect(prediction.label).toStrictEqual('test') - }) + expect(prediction.label).toStrictEqual("test"); + }); - test('should set the prediction label', () => { - const prediction = new Prediction() + test("should set the prediction label", () => { + const prediction = new Prediction(); - prediction.label = 'test' + prediction.label = "test"; - expect(prediction.label).toStrictEqual('test') - }) - }) + expect(prediction.label).toStrictEqual("test"); + }); + }); - describe('confidence', () => { - test('should throw an error if confidence is not a number', () => { - const prediction = new Prediction() + describe("confidence", () => { + test("should throw an error if confidence is not a number", () => { + const prediction = new Prediction(); expect(() => { - prediction.confidence = 'test' - }).toThrow(Error) - }) + prediction.confidence = "test"; + }).toThrow(Error); + }); - test('should return a number', () => { - const prediction = new Prediction() + test("should return a number", () => { + const prediction = new Prediction(); - expect(typeof prediction.confidence).toStrictEqual('number') - }) + expect(typeof prediction.confidence).toStrictEqual("number"); + }); - test('should return the defined prediction confidence', () => { + test("should return the defined prediction confidence", () => { const prediction = new Prediction({ - confidence: 0.5 - }) + confidence: 0.5, + }); - expect(prediction.confidence).toBeCloseTo(0.5) - }) + expect(prediction.confidence).toBeCloseTo(0.5); + }); - test('should set the prediction confidence', () => { - const prediction = new Prediction() + test("should set the prediction confidence", () => { + const prediction = new Prediction(); - prediction.confidence = 1 + prediction.confidence = 1; - expect(prediction.confidence).toStrictEqual(1) - }) - }) -}) + expect(prediction.confidence).toStrictEqual(1); + }); + }); +}); diff --git a/test/Vocabulary.test.js b/test/Vocabulary.test.js index 95ed3f7..fe62498 100644 --- a/test/Vocabulary.test.js +++ b/test/Vocabulary.test.js @@ -1,177 +1,165 @@ -import Vocabulary from '../src/Vocabulary' +import { Vocabulary } from "../src/Vocabulary.js"; -describe('Vocabulary', () => { - describe('constructor', () => { - test('should throw an error if terms is not an array or set', () => { - expect(() => new Vocabulary({})).toThrow(Error) - }) - }) +describe("Vocabulary", () => { + describe("constructor", () => { + test("should throw an error if terms is not an array or set", () => { + expect(() => new Vocabulary({})).toThrow(Error); + }); + }); - describe('size', () => { - test('should return a number', () => { - const vocabulary = new Vocabulary() + describe("size", () => { + test("should return a number", () => { + const vocabulary = new Vocabulary(); - expect(typeof vocabulary.size).toStrictEqual('number') - }) + expect(typeof vocabulary.size).toStrictEqual("number"); + }); - test('should return the vocabulary size', () => { - const vocabulary = new Vocabulary(['hello']) + test("should return the vocabulary size", () => { + const vocabulary = new Vocabulary(["hello"]); - expect(vocabulary.size).toStrictEqual(1) - }) - }) + expect(vocabulary.size).toStrictEqual(1); + }); + }); - describe('terms', () => { - test('should return a set instance', () => { - const vocabulary = new Vocabulary() + describe("terms", () => { + test("should return a set instance", () => { + const vocabulary = new Vocabulary(); - expect(vocabulary.terms).toBeInstanceOf(Set) - }) + expect(vocabulary.terms).toBeInstanceOf(Set); + }); - test('should return the vocabulary terms', () => { - const vocabulary = new Vocabulary(['hello']) + test("should return the vocabulary terms", () => { + const vocabulary = new Vocabulary(["hello"]); - expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + }); - test('should set the vocabulary terms from an array', () => { - const vocabulary = new Vocabulary() + test("should set the vocabulary terms from an array", () => { + const vocabulary = new Vocabulary(); - vocabulary.terms = ['hello', 'world'] + vocabulary.terms = ["hello", "world"]; - expect(Array.from(vocabulary.terms)).toStrictEqual([ - 'hello', - 'world' - ]) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + }); - test('should set the vocabulary terms from a set', () => { - const vocabulary = new Vocabulary() + test("should set the vocabulary terms from a set", () => { + const vocabulary = new Vocabulary(); - vocabulary.terms = new Set(['hello', 'world']) + vocabulary.terms = new Set(["hello", "world"]); - expect(Array.from(vocabulary.terms)).toStrictEqual([ - 'hello', - 'world' - ]) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + }); - test('should throw an error if terms is not an array or set', () => { - const vocabulary = new Vocabulary() + test("should throw an error if terms is not an array or set", () => { + const vocabulary = new Vocabulary(); expect(() => { - vocabulary.terms = {} - }).toThrow(Error) - }) - }) + vocabulary.terms = {}; + }).toThrow(Error); + }); + }); - describe('add', () => { - test('should throw an error if terms is not a string, array or set', () => { - const vocabulary = new Vocabulary() + describe("add", () => { + test("should throw an error if terms is not a string, array or set", () => { + const vocabulary = new Vocabulary(); - expect(() => vocabulary.add({})).toThrow(Error) - }) + expect(() => vocabulary.add({})).toThrow(Error); + }); - test('should add a term to the vocabulary from a string', () => { - const vocabulary = new Vocabulary() + test("should add a term to the vocabulary from a string", () => { + const vocabulary = new Vocabulary(); - vocabulary.add('test') + vocabulary.add("test"); - expect(Array.from(vocabulary.terms)).toStrictEqual(['test']) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["test"]); + }); - test('should add terms to the vocabulary from an array', () => { - const vocabulary = new Vocabulary() + test("should add terms to the vocabulary from an array", () => { + const vocabulary = new Vocabulary(); - vocabulary.add(['hello', 'world']) + vocabulary.add(["hello", "world"]); - expect(Array.from(vocabulary.terms)).toStrictEqual([ - 'hello', - 'world' - ]) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + }); - test('should add terms to the vocabulary from a set', () => { - const vocabulary = new Vocabulary() + test("should add terms to the vocabulary from a set", () => { + const vocabulary = new Vocabulary(); - vocabulary.add(new Set(['hello', 'world'])) + vocabulary.add(new Set(["hello", "world"])); - expect(Array.from(vocabulary.terms)).toStrictEqual([ - 'hello', - 'world' - ]) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + }); - test('should return vocabulary instance', () => { - const vocabulary = new Vocabulary() + test("should return vocabulary instance", () => { + const vocabulary = new Vocabulary(); - expect(vocabulary.add('test')).toBeInstanceOf(Vocabulary) - }) - }) + expect(vocabulary.add("test")).toBeInstanceOf(Vocabulary); + }); + }); - describe('remove', () => { - test('should throw an error if terms is not a string, array or set', () => { - const vocabulary = new Vocabulary() + describe("remove", () => { + test("should throw an error if terms is not a string, array or set", () => { + const vocabulary = new Vocabulary(); - expect(() => vocabulary.remove({})).toThrow(Error) - }) + expect(() => vocabulary.remove({})).toThrow(Error); + }); - test('should remove a term to the vocabulary when called with a string', () => { - const vocabulary = new Vocabulary(['test']) + test("should remove a term to the vocabulary when called with a string", () => { + const vocabulary = new Vocabulary(["test"]); - vocabulary.remove('test') + vocabulary.remove("test"); - expect(Array.from(vocabulary.terms)).toStrictEqual([]) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual([]); + }); - test('should remove terms from the vocabulary when called with an array', () => { - const vocabulary = new Vocabulary(['hello', 'world']) + test("should remove terms from the vocabulary when called with an array", () => { + const vocabulary = new Vocabulary(["hello", "world"]); - vocabulary.remove(['world']) + vocabulary.remove(["world"]); - expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + }); - test('should remove terms from the vocabulary when called with a set', () => { - const vocabulary = new Vocabulary(['hello', 'world']) + test("should remove terms from the vocabulary when called with a set", () => { + const vocabulary = new Vocabulary(["hello", "world"]); - vocabulary.remove(new Set(['world'])) + vocabulary.remove(new Set(["world"])); - expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']) - }) + expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + }); - test('should return a vocabulary instance', () => { - const vocabulary = new Vocabulary(['test']) + test("should return a vocabulary instance", () => { + const vocabulary = new Vocabulary(["test"]); - expect(vocabulary.remove('test')).toBeInstanceOf(Vocabulary) - }) - }) + expect(vocabulary.remove("test")).toBeInstanceOf(Vocabulary); + }); + }); - describe('has', () => { - test('should return a boolean', () => { - const vocabulary = new Vocabulary() + describe("has", () => { + test("should return a boolean", () => { + const vocabulary = new Vocabulary(); - expect(typeof vocabulary.has('test')).toStrictEqual('boolean') - }) + expect(typeof vocabulary.has("test")).toStrictEqual("boolean"); + }); - test('should return whether a term exists in the vocabulary', () => { - const vocabulary = new Vocabulary(['test']) + test("should return whether a term exists in the vocabulary", () => { + const vocabulary = new Vocabulary(["test"]); - expect(vocabulary.has('test')).toStrictEqual(true) - }) - }) + expect(vocabulary.has("test")).toStrictEqual(true); + }); + }); - describe('indexOf', () => { - test('should return the index of an existing vocabulary term', () => { - const vocabulary = new Vocabulary(['test']) + describe("indexOf", () => { + test("should return the index of an existing vocabulary term", () => { + const vocabulary = new Vocabulary(["test"]); - expect(vocabulary.indexOf('test')).toStrictEqual(0) - }) + expect(vocabulary.indexOf("test")).toStrictEqual(0); + }); - test('should return -1 for non-existing vocabulary terms', () => { - const vocabulary = new Vocabulary() + test("should return -1 for non-existing vocabulary terms", () => { + const vocabulary = new Vocabulary(); - expect(vocabulary.indexOf('test')).toStrictEqual(-1) - }) - }) -}) + expect(vocabulary.indexOf("test")).toStrictEqual(-1); + }); + }); +}); From 3d68f88fb2648039a1a3f53ae02b35710eebe0e1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 10:10:59 +0100 Subject: [PATCH 05/16] Tests passing --- package.json | 5 +- pnpm-lock.yaml | 675 ++++++++++++++++++++++++++++++++++++++++ src/Classifier.js | 5 +- test/Classifier.test.js | 2 + test/Model.test.js | 2 + test/Prediction.test.js | 1 + test/Vocabulary.test.js | 1 + 7 files changed, 687 insertions(+), 4 deletions(-) diff --git a/package.json b/package.json index 0b00986..9dc3abd 100644 --- a/package.json +++ b/package.json @@ -9,7 +9,7 @@ "test": "jest --coverage", "test:watch": "jest --watchAll", "test:prod": "cross-env BABEL_ENV=production npm run test", - "lint": "eslint src test", + "lint": "biome lint src test", "build": "webpack --mode=production --config=webpack.config.js", "prepublish": "npm run clean && npm run lint && npm run test && npm run build" }, @@ -54,7 +54,8 @@ "jsdoc": "^4.0.0", "jsdoc-to-markdown": "^8.0.0", "rimraf": "^4.1.2", - "tsup": "^8.0.2" + "tsup": "^8.0.2", + "vitest": "^1.4.0" }, "dependencies": { "xregexp": "^5.1.1" diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 08d377f..0d95a88 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -25,6 +25,9 @@ devDependencies: tsup: specifier: ^8.0.2 version: 8.0.2 + vitest: + specifier: ^1.4.0 + version: 1.4.0 packages: @@ -160,6 +163,15 @@ packages: dev: true optional: true + /@esbuild/aix-ppc64@0.20.2: + resolution: {integrity: sha512-D+EBOJHXdNZcLJRBkhENNG8Wji2kgc9AZ9KiPr1JuZjsNtyHzrsfLRrY0tk2H2aoFu6RANO1y1iPPUCDYWkb5g==} + engines: {node: '>=12'} + cpu: [ppc64] + os: [aix] + requiresBuild: true + dev: true + optional: true + /@esbuild/android-arm64@0.19.12: resolution: {integrity: sha512-P0UVNGIienjZv3f5zq0DP3Nt2IE/3plFzuaS96vihvD0Hd6H/q4WXUGpCxD/E8YrSXfNyRPbpTq+T8ZQioSuPA==} engines: {node: '>=12'} @@ -169,6 +181,15 @@ packages: dev: true optional: true + /@esbuild/android-arm64@0.20.2: + resolution: {integrity: sha512-mRzjLacRtl/tWU0SvD8lUEwb61yP9cqQo6noDZP/O8VkwafSYwZ4yWy24kan8jE/IMERpYncRt2dw438LP3Xmg==} + engines: {node: '>=12'} + cpu: [arm64] + os: [android] + requiresBuild: true + dev: true + optional: true + /@esbuild/android-arm@0.19.12: resolution: {integrity: sha512-qg/Lj1mu3CdQlDEEiWrlC4eaPZ1KztwGJ9B6J+/6G+/4ewxJg7gqj8eVYWvao1bXrqGiW2rsBZFSX3q2lcW05w==} engines: {node: '>=12'} @@ -178,6 +199,15 @@ packages: dev: true optional: true + /@esbuild/android-arm@0.20.2: + resolution: {integrity: sha512-t98Ra6pw2VaDhqNWO2Oph2LXbz/EJcnLmKLGBJwEwXX/JAN83Fym1rU8l0JUWK6HkIbWONCSSatf4sf2NBRx/w==} + engines: {node: '>=12'} + cpu: [arm] + os: [android] + requiresBuild: true + dev: true + optional: true + /@esbuild/android-x64@0.19.12: resolution: {integrity: sha512-3k7ZoUW6Q6YqhdhIaq/WZ7HwBpnFBlW905Fa4s4qWJyiNOgT1dOqDiVAQFwBH7gBRZr17gLrlFCRzF6jFh7Kew==} engines: {node: '>=12'} @@ -187,6 +217,15 @@ packages: dev: true optional: true + /@esbuild/android-x64@0.20.2: + resolution: {integrity: sha512-btzExgV+/lMGDDa194CcUQm53ncxzeBrWJcncOBxuC6ndBkKxnHdFJn86mCIgTELsooUmwUm9FkhSp5HYu00Rg==} + engines: {node: '>=12'} + cpu: [x64] + os: [android] + requiresBuild: true + dev: true + optional: true + /@esbuild/darwin-arm64@0.19.12: resolution: {integrity: sha512-B6IeSgZgtEzGC42jsI+YYu9Z3HKRxp8ZT3cqhvliEHovq8HSX2YX8lNocDn79gCKJXOSaEot9MVYky7AKjCs8g==} engines: {node: '>=12'} @@ -196,6 +235,15 @@ packages: dev: true optional: true + /@esbuild/darwin-arm64@0.20.2: + resolution: {integrity: sha512-4J6IRT+10J3aJH3l1yzEg9y3wkTDgDk7TSDFX+wKFiWjqWp/iCfLIYzGyasx9l0SAFPT1HwSCR+0w/h1ES/MjA==} + engines: {node: '>=12'} + cpu: [arm64] + os: [darwin] + requiresBuild: true + dev: true + optional: true + /@esbuild/darwin-x64@0.19.12: resolution: {integrity: sha512-hKoVkKzFiToTgn+41qGhsUJXFlIjxI/jSYeZf3ugemDYZldIXIxhvwN6erJGlX4t5h417iFuheZ7l+YVn05N3A==} engines: {node: '>=12'} @@ -205,6 +253,15 @@ packages: dev: true optional: true + /@esbuild/darwin-x64@0.20.2: + resolution: {integrity: sha512-tBcXp9KNphnNH0dfhv8KYkZhjc+H3XBkF5DKtswJblV7KlT9EI2+jeA8DgBjp908WEuYll6pF+UStUCfEpdysA==} + engines: {node: '>=12'} + cpu: [x64] + os: [darwin] + requiresBuild: true + dev: true + optional: true + /@esbuild/freebsd-arm64@0.19.12: resolution: {integrity: sha512-4aRvFIXmwAcDBw9AueDQ2YnGmz5L6obe5kmPT8Vd+/+x/JMVKCgdcRwH6APrbpNXsPz+K653Qg8HB/oXvXVukA==} engines: {node: '>=12'} @@ -214,6 +271,15 @@ packages: dev: true optional: true + /@esbuild/freebsd-arm64@0.20.2: + resolution: {integrity: sha512-d3qI41G4SuLiCGCFGUrKsSeTXyWG6yem1KcGZVS+3FYlYhtNoNgYrWcvkOoaqMhwXSMrZRl69ArHsGJ9mYdbbw==} + engines: {node: '>=12'} + cpu: [arm64] + os: [freebsd] + requiresBuild: true + dev: true + optional: true + /@esbuild/freebsd-x64@0.19.12: resolution: {integrity: sha512-EYoXZ4d8xtBoVN7CEwWY2IN4ho76xjYXqSXMNccFSx2lgqOG/1TBPW0yPx1bJZk94qu3tX0fycJeeQsKovA8gg==} engines: {node: '>=12'} @@ -223,6 +289,15 @@ packages: dev: true optional: true + /@esbuild/freebsd-x64@0.20.2: + resolution: {integrity: sha512-d+DipyvHRuqEeM5zDivKV1KuXn9WeRX6vqSqIDgwIfPQtwMP4jaDsQsDncjTDDsExT4lR/91OLjRo8bmC1e+Cw==} + engines: {node: '>=12'} + cpu: [x64] + os: [freebsd] + requiresBuild: true + dev: true + optional: true + /@esbuild/linux-arm64@0.19.12: resolution: {integrity: sha512-EoTjyYyLuVPfdPLsGVVVC8a0p1BFFvtpQDB/YLEhaXyf/5bczaGeN15QkR+O4S5LeJ92Tqotve7i1jn35qwvdA==} engines: {node: '>=12'} @@ -232,6 +307,15 @@ packages: dev: true optional: true + /@esbuild/linux-arm64@0.20.2: + resolution: {integrity: sha512-9pb6rBjGvTFNira2FLIWqDk/uaf42sSyLE8j1rnUpuzsODBq7FvpwHYZxQ/It/8b+QOS1RYfqgGFNLRI+qlq2A==} + engines: {node: '>=12'} + cpu: [arm64] + os: [linux] + requiresBuild: true + dev: true + optional: true + /@esbuild/linux-arm@0.19.12: resolution: {integrity: 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postcss: 8.4.38 + rollup: 4.13.0 + optionalDependencies: + fsevents: 2.3.3 + dev: true + + /vitest@1.4.0: + resolution: {integrity: sha512-gujzn0g7fmwf83/WzrDTnncZt2UiXP41mHuFYFrdwaLRVQ6JYQEiME2IfEjU3vcFL3VKa75XhI3lFgn+hfVsQw==} + engines: {node: ^18.0.0 || >=20.0.0} + hasBin: true + peerDependencies: + '@edge-runtime/vm': '*' + '@types/node': ^18.0.0 || >=20.0.0 + '@vitest/browser': 1.4.0 + '@vitest/ui': 1.4.0 + happy-dom: '*' + jsdom: '*' + peerDependenciesMeta: + '@edge-runtime/vm': + optional: true + '@types/node': + optional: true + '@vitest/browser': + optional: true + '@vitest/ui': + optional: true + happy-dom: + optional: true + jsdom: + optional: true + dependencies: + '@vitest/expect': 1.4.0 + '@vitest/runner': 1.4.0 + '@vitest/snapshot': 1.4.0 + '@vitest/spy': 1.4.0 + '@vitest/utils': 1.4.0 + acorn-walk: 8.3.2 + chai: 4.4.1 + debug: 4.3.4 + execa: 8.0.1 + local-pkg: 0.5.0 + magic-string: 0.30.8 + pathe: 1.1.2 + picocolors: 1.0.0 + std-env: 3.7.0 + strip-literal: 2.0.0 + tinybench: 2.6.0 + tinypool: 0.8.3 + vite: 5.2.6 + vite-node: 1.4.0 + why-is-node-running: 2.2.2 + transitivePeerDependencies: + - less + - lightningcss + - sass + - stylus + - sugarss + - supports-color + - terser + dev: true + /walk-back@2.0.1: resolution: {integrity: sha512-Nb6GvBR8UWX1D+Le+xUq0+Q1kFmRBIWVrfLnQAOmcpEzA9oAxwJ9gIr36t9TWYfzvWRvuMtjHiVsJYEkXWaTAQ==} engines: {node: '>=0.10.0'} @@ -1838,6 +2499,15 @@ packages: isexe: 2.0.0 dev: true + /why-is-node-running@2.2.2: + resolution: {integrity: sha512-6tSwToZxTOcotxHeA+qGCq1mVzKR3CwcJGmVcY+QE8SHy6TnpFnh8PAvPNHYr7EcuVeG0QSMxtYCuO1ta/G/oA==} + engines: {node: '>=8'} + hasBin: true + dependencies: + siginfo: 2.0.0 + stackback: 0.0.2 + dev: true + /wordwrap@1.0.0: resolution: {integrity: sha512-gvVzJFlPycKc5dZN4yPkP8w7Dc37BtP1yczEneOb4uq34pXZcvrtRTmWV8W+Ume+XCxKgbjM+nevkyFPMybd4Q==} dev: true @@ -1887,3 +2557,8 @@ packages: engines: {node: '>= 14'} hasBin: true dev: true + + /yocto-queue@1.0.0: + resolution: {integrity: sha512-9bnSc/HEW2uRy67wc+T8UwauLuPJVn28jb+GtJY16iiKWyvmYJRXVT4UamsAEGQfPohgr2q4Tq0sQbQlxTfi1g==} + engines: {node: '>=12.20'} + dev: true diff --git a/src/Classifier.js b/src/Classifier.js index 7bf1a04..ab4abaf 100644 --- a/src/Classifier.js +++ b/src/Classifier.js @@ -217,7 +217,8 @@ export class Classifier { words.forEach((word, index) => { let sequence = ""; - for (const nextWord of words.slice(index)) { + // biome-ignore lint/complexity/noForEach: Complications when using for of loop + words.slice(index).forEach((nextWord) => { sequence += sequence ? ` ${nextWord}` : nextWord; const tokenCount = sequence.split(" ").length; @@ -233,7 +234,7 @@ export class Classifier { } ++tokens[sequence]; - } + }); }); return tokens; diff --git a/test/Classifier.test.js b/test/Classifier.test.js index 65c481c..d73a547 100644 --- a/test/Classifier.test.js +++ b/test/Classifier.test.js @@ -1,3 +1,5 @@ +import { describe, test, expect } from "vitest"; + import { Classifier } from "../src/Classifier.js"; import { Model } from "../src/Model.js"; diff --git a/test/Model.test.js b/test/Model.test.js index 5d926ac..148bc75 100644 --- a/test/Model.test.js +++ b/test/Model.test.js @@ -1,3 +1,5 @@ +import { describe, test, expect } from "vitest"; + import { Model } from "../src/Model.js"; import { Vocabulary } from "../src/Vocabulary.js"; diff --git a/test/Prediction.test.js b/test/Prediction.test.js index 3e24e9c..6beb58a 100644 --- a/test/Prediction.test.js +++ b/test/Prediction.test.js @@ -1,3 +1,4 @@ +import { describe, test, expect } from "vitest"; import { Prediction } from "../src/Prediction.js"; describe("Prediction", () => { diff --git a/test/Vocabulary.test.js b/test/Vocabulary.test.js index fe62498..9478455 100644 --- a/test/Vocabulary.test.js +++ b/test/Vocabulary.test.js @@ -1,3 +1,4 @@ +import { describe, test, expect } from "vitest"; import { Vocabulary } from "../src/Vocabulary.js"; describe("Vocabulary", () => { From 53334e1ad58cce2234e472e158f3bdc67060bb64 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 10:48:12 +0100 Subject: [PATCH 06/16] Building with tsup --- .gitignore | 2 +- biome.json | 3 +++ package.json | 13 ++++++------- pnpm-lock.yaml | 14 ++++++++++++-- 4 files changed, 22 insertions(+), 10 deletions(-) diff --git a/.gitignore b/.gitignore index d5505e5..ea75346 100644 --- a/.gitignore +++ b/.gitignore @@ -12,7 +12,7 @@ jspm_packages .npm .node_repl_history .idea -lib +dist package-lock.json .DS_Store Thumbs.db diff --git a/biome.json b/biome.json index 247f0e0..4dec53b 100644 --- a/biome.json +++ b/biome.json @@ -11,5 +11,8 @@ "noParameterAssign": "off" } } + }, + "files": { + "ignore": ["dist/*"] } } diff --git a/package.json b/package.json index 9dc3abd..6faf033 100644 --- a/package.json +++ b/package.json @@ -3,18 +3,16 @@ "version": "2.0.1", "description": "Text classification using n-grams and cosine similarity", "type": "module", - "main": "./lib", "scripts": { - "clean": "rimraf lib", - "test": "jest --coverage", - "test:watch": "jest --watchAll", - "test:prod": "cross-env BABEL_ENV=production npm run test", + "clean": "rimraf dist", + "test": "vitest run", + "test:watch": "vitest", "lint": "biome lint src test", - "build": "webpack --mode=production --config=webpack.config.js", + "build": "tsup src/index.js --format esm,cjs", "prepublish": "npm run clean && npm run lint && npm run test && npm run build" }, "files": [ - "lib" + "dist" ], "repository": { "type": "git", @@ -55,6 +53,7 @@ "jsdoc-to-markdown": "^8.0.0", "rimraf": "^4.1.2", "tsup": "^8.0.2", + "typescript": "^5.4.3", "vitest": "^1.4.0" }, "dependencies": { diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 0d95a88..f422dd5 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -24,7 +24,10 @@ devDependencies: version: 4.4.1 tsup: specifier: ^8.0.2 - version: 8.0.2 + version: 8.0.2(typescript@5.4.3) + typescript: + specifier: ^5.4.3 + version: 5.4.3 vitest: specifier: ^1.4.0 version: 1.4.0 @@ -2281,7 +2284,7 @@ packages: resolution: {integrity: sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==} dev: true - /tsup@8.0.2: + /tsup@8.0.2(typescript@5.4.3): resolution: {integrity: sha512-NY8xtQXdH7hDUAZwcQdY/Vzlw9johQsaqf7iwZ6g1DOUlFYQ5/AtVAjTvihhEyeRlGo4dLRVHtrRaL35M1daqQ==} engines: {node: '>=18'} hasBin: true @@ -2314,6 +2317,7 @@ packages: source-map: 0.8.0-beta.0 sucrase: 3.35.0 tree-kill: 1.2.2 + typescript: 5.4.3 transitivePeerDependencies: - supports-color - ts-node @@ -2324,6 +2328,12 @@ packages: engines: {node: '>=4'} dev: true + /typescript@5.4.3: + resolution: {integrity: sha512-KrPd3PKaCLr78MalgiwJnA25Nm8HAmdwN3mYUYZgG/wizIo9EainNVQI9/yDavtVFRN2h3k8uf3GLHuhDMgEHg==} + engines: {node: '>=14.17'} + hasBin: true + dev: true + /typical@2.6.1: resolution: {integrity: sha512-ofhi8kjIje6npGozTip9Fr8iecmYfEbS06i0JnIg+rh51KakryWF4+jX8lLKZVhy6N+ID45WYSFCxPOdTWCzNg==} dev: true From 3cd006e3d7275b44c3912c2da0cd0b96b0ae137e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 10:53:17 +0100 Subject: [PATCH 07/16] Major version bump --- package.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/package.json b/package.json index 6faf033..3190de5 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ml-classify-text", - "version": "2.0.1", + "version": "3.0.0", "description": "Text classification using n-grams and cosine similarity", "type": "module", "scripts": { From 6eaba2e61b9ae308bd430f2abc30e09b537f9e6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 10:58:41 +0100 Subject: [PATCH 08/16] Including d.ts files in build --- package.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/package.json b/package.json index 3190de5..3ba2784 100644 --- a/package.json +++ b/package.json @@ -8,7 +8,7 @@ "test": "vitest run", "test:watch": "vitest", "lint": "biome lint src test", - "build": "tsup src/index.js --format esm,cjs", + "build": "tsup src/index.js --format esm,cjs --dts", "prepublish": "npm run clean && npm run lint && npm run test && npm run build" }, "files": [ From 564b7569096d1d27c3bbb94da51044f3c514fe5b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 12:29:25 +0100 Subject: [PATCH 09/16] modern package --- package.json | 21 +++++++++++++-------- pnpm-lock.yaml | 33 --------------------------------- 2 files changed, 13 insertions(+), 41 deletions(-) diff --git a/package.json b/package.json index 3ba2784..5b4cf8e 100644 --- a/package.json +++ b/package.json @@ -3,17 +3,23 @@ "version": "3.0.0", "description": "Text classification using n-grams and cosine similarity", "type": "module", + "main": "./dist/index.js", + "module": "./dist/index.mjs", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "require": "./dist/index.js", + "import": "./dist/index.mjs", + "types": "./dist/index.d.ts" + } + }, "scripts": { - "clean": "rimraf dist", + "dev": "vitest", "test": "vitest run", - "test:watch": "vitest", "lint": "biome lint src test", - "build": "tsup src/index.js --format esm,cjs --dts", - "prepublish": "npm run clean && npm run lint && npm run test && npm run build" + "build": "tsup src/index.js --format esm,cjs --clean", + "prepublish": "npm run lint && npm run test && npm run build" }, - "files": [ - "dist" - ], "repository": { "type": "git", "url": "git+https://github.com/andreekeberg/ml-classify-text-js.git" @@ -51,7 +57,6 @@ "@biomejs/biome": "1.6.3", "jsdoc": "^4.0.0", "jsdoc-to-markdown": "^8.0.0", - "rimraf": "^4.1.2", "tsup": "^8.0.2", "typescript": "^5.4.3", "vitest": "^1.4.0" diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index f422dd5..fd24552 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -19,9 +19,6 @@ devDependencies: jsdoc-to-markdown: specifier: ^8.0.0 version: 8.0.1 - rimraf: - specifier: ^4.1.2 - version: 4.4.1 tsup: specifier: ^8.0.2 version: 8.0.2(typescript@5.4.3) @@ -1388,16 +1385,6 @@ packages: path-is-absolute: 1.0.1 dev: true - /glob@9.3.5: - resolution: {integrity: sha512-e1LleDykUz2Iu+MTYdkSsuWX8lvAjAcs0Xef0lNIu0S2wOAzuTxCJtcd9S3cijlwYF18EsU3rzb8jPVobxDh9Q==} - engines: {node: '>=16 || 14 >=14.17'} - dependencies: - fs.realpath: 1.0.0 - minimatch: 8.0.4 - minipass: 4.2.8 - path-scurry: 1.10.1 - dev: true - /globby@11.1.0: resolution: {integrity: sha512-jhIXaOzy1sb8IyocaruWSn1TjmnBVs8Ayhcy83rmxNJ8q2uWKCAj3CnJY+KpGSXCueAPc0i05kVvVKtP1t9S3g==} engines: {node: '>=10'} @@ -1722,13 +1709,6 @@ packages: brace-expansion: 1.1.11 dev: true - /minimatch@8.0.4: - resolution: {integrity: sha512-W0Wvr9HyFXZRGIDgCicunpQ299OKXs9RgZfaukz4qAW/pJhcpUfupc9c+OObPOFueNy8VSrZgEmDtk6Kh4WzDA==} - engines: {node: '>=16 || 14 >=14.17'} - dependencies: - brace-expansion: 2.0.1 - dev: true - /minimatch@9.0.3: resolution: {integrity: sha512-RHiac9mvaRw0x3AYRgDC1CxAP7HTcNrrECeA8YYJeWnpo+2Q5CegtZjaotWTWxDG3UeGA1coE05iH1mPjT/2mg==} engines: {node: '>=16 || 14 >=14.17'} @@ -1740,11 +1720,6 @@ packages: resolution: {integrity: sha512-2yyAR8qBkN3YuheJanUpWC5U3bb5osDywNB8RzDVlDwDHbocAJveqqj1u8+SVD7jkWT4yvsHCpWqqWqAxb0zCA==} dev: true - /minipass@4.2.8: - resolution: {integrity: sha512-fNzuVyifolSLFL4NzpF+wEF4qrgqaaKX0haXPQEdQ7NKAN+WecoKMHV09YcuL/DHxrUsYQOK3MiuDf7Ip2OXfQ==} - engines: {node: '>=8'} - dev: true - /minipass@7.0.4: resolution: {integrity: sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==} engines: {node: '>=16 || 14 >=14.17'} @@ -2012,14 +1987,6 @@ packages: engines: {iojs: '>=1.0.0', node: '>=0.10.0'} dev: true - /rimraf@4.4.1: - resolution: {integrity: sha512-Gk8NlF062+T9CqNGn6h4tls3k6T1+/nXdOcSZVikNVtlRdYpA7wRJJMoXmuvOnLW844rPjdQ7JgXCYM6PPC/og==} - engines: {node: '>=14'} - hasBin: true - dependencies: - glob: 9.3.5 - dev: true - /rollup@4.13.0: resolution: {integrity: sha512-3YegKemjoQnYKmsBlOHfMLVPPA5xLkQ8MHLLSw/fBrFaVkEayL51DilPpNNLq1exr98F2B1TzrV0FUlN3gWRPg==} engines: {node: '>=18.0.0', npm: '>=8.0.0'} From 5e5da2825c343ed8d15bbf1db71000b97eee9b59 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 12:41:28 +0100 Subject: [PATCH 10/16] Converted to typescript --- package.json | 2 +- src/{Classifier.js => Classifier.ts} | 34 +++++++---- src/{Model.js => Model.ts} | 19 ++++-- src/Prediction.js | 56 ------------------ src/Prediction.ts | 59 +++++++++++++++++++ src/{Vocabulary.js => Vocabulary.ts} | 14 +++-- src/{index.js => index.ts} | 2 +- ...{Classifier.test.js => Classifier.test.ts} | 0 test/{Model.test.js => Model.test.ts} | 0 ...{Prediction.test.js => Prediction.test.ts} | 0 ...{Vocabulary.test.js => Vocabulary.test.ts} | 4 ++ tsconfig.json | 13 ++++ 12 files changed, 123 insertions(+), 80 deletions(-) rename src/{Classifier.js => Classifier.ts} (91%) rename src/{Model.js => Model.ts} (88%) delete mode 100644 src/Prediction.js create mode 100644 src/Prediction.ts rename src/{Vocabulary.js => Vocabulary.ts} (86%) rename src/{index.js => index.ts} (66%) rename test/{Classifier.test.js => Classifier.test.ts} (100%) rename test/{Model.test.js => Model.test.ts} (100%) rename test/{Prediction.test.js => Prediction.test.ts} (100%) rename test/{Vocabulary.test.js => Vocabulary.test.ts} (97%) create mode 100644 tsconfig.json diff --git a/package.json b/package.json index 5b4cf8e..0b06049 100644 --- a/package.json +++ b/package.json @@ -17,7 +17,7 @@ "dev": "vitest", "test": "vitest run", "lint": "biome lint src test", - "build": "tsup src/index.js --format esm,cjs --clean", + "build": "tsup src/index.ts --format esm,cjs --dts --clean", "prepublish": "npm run lint && npm run test && npm run build" }, "repository": { diff --git a/src/Classifier.js b/src/Classifier.ts similarity index 91% rename from src/Classifier.js rename to src/Classifier.ts index ab4abaf..04f42f6 100644 --- a/src/Classifier.js +++ b/src/Classifier.ts @@ -1,13 +1,15 @@ import XRegExp from "xregexp"; -import { Model } from "./Model.js"; +import { Model, type ModelConfig } from "./Model.js"; import { Prediction } from "./Prediction.js"; import { Vocabulary } from "./Vocabulary.js"; export class Classifier { + private _model: Model; + /** * @param {Model | Partial} model */ - constructor(model = {}) { + constructor(model: Model | Partial = {}) { if (!(model instanceof Model)) { model = new Model(model); } @@ -43,7 +45,7 @@ export class Classifier { * @param {string} label - Corresponding label * @return {this} */ - train(input, label) { + train(input: string | string[], label: string): this { if (typeof input !== "string" && !Array.isArray(input)) { throw new Error("input must be either a string or Array"); } @@ -101,7 +103,11 @@ export class Classifier { * @param {string} input * @return {Array} */ - predict(input, maxMatches = 1, minimumConfidence = 0.2) { + predict( + input: string, + maxMatches = 1, + minimumConfidence = 0.2 + ): Array { if (typeof input !== "string") { throw new Error("input must be a string"); } @@ -137,7 +143,7 @@ export class Classifier { /** * @type {Prediction[]} */ - const predictions = []; + const predictions: Prediction[] = []; for (const label of Object.keys(this._model.data)) { const entry = this._model.data[label]; @@ -171,7 +177,7 @@ export class Classifier { * @param {string} input * @return {string[]} */ - splitWords(input) { + splitWords(input: string): string[] { if (typeof input !== "string") { throw new Error("input must be a string"); } @@ -196,7 +202,7 @@ export class Classifier { * @param {(string|string[])} input * @return {Record} */ - tokenize(input) { + tokenize(input: string | string[]): Record { const words = typeof input === "string" ? this.splitWords(input) : input; if (!Array.isArray(words)) { @@ -210,7 +216,7 @@ export class Classifier { /** * @type {Record} */ - const tokens = {}; + const tokens: Record = {}; // Generate a list of n-grams along with their respective occurrences // based on the models configured min/max values @@ -248,7 +254,10 @@ export class Classifier { * @param {Record} tokens * @return {{vector: Record, vocabulary: Vocabulary}} */ - vectorize(tokens) { + vectorize(tokens: Record): { + vector: Record; + vocabulary: Vocabulary; + } { if (Object.getPrototypeOf(tokens) !== Object.prototype) { throw new Error("tokens must be an object literal"); } @@ -261,7 +270,7 @@ export class Classifier { /** * @type {Record} */ - const vector = {}; + const vector: Record = {}; const vocabulary = new Vocabulary(this._model.vocabulary.terms); for (const token of Object.keys(tokens)) { @@ -289,7 +298,10 @@ export class Classifier { * @param {Record} v2 * @return {number} */ - cosineSimilarity(v1, v2) { + cosineSimilarity( + v1: Record, + v2: Record + ): number { if (Object.getPrototypeOf(v1) !== Object.prototype) { throw new Error("v1 must be an object literal"); } diff --git a/src/Model.js b/src/Model.ts similarity index 88% rename from src/Model.js rename to src/Model.ts index a88a466..adba2a4 100644 --- a/src/Model.js +++ b/src/Model.ts @@ -1,15 +1,24 @@ import { Vocabulary } from "./Vocabulary.js"; -/** - * @typedef {Record>} ModelData - * @typedef {{ nGramMin: number, nGramMax: number, vocabulary: string[] | Set | false, data: ModelData }} ModelConfig - */ +export type ModelData = Record>; + +export type ModelConfig = { + nGramMin: number; + nGramMax: number; + vocabulary: string[] | Set | false; + data: ModelData; +}; export class Model { + private _nGramMin: number; + private _nGramMax: number; + private _data: { [x: string]: Record }; + private _vocabulary: Vocabulary | false; + /** * @param {Partial} config */ - constructor(config = {}) { + constructor(config: Partial = {}) { if (Object.getPrototypeOf(config) !== Object.prototype) { throw new Error("config must be an object literal"); } diff --git a/src/Prediction.js b/src/Prediction.js deleted file mode 100644 index d3d1409..0000000 --- a/src/Prediction.js +++ /dev/null @@ -1,56 +0,0 @@ -export class Prediction { - /** - * @param {{ label?: string, confidence?: number }} prediction - */ - constructor(prediction = {}) { - if (Object.getPrototypeOf(prediction) !== Object.prototype) { - throw new Error('prediction must be an object literal') - } - - /** - * @type {string} - * @private - */ - this._label = prediction.label ?? '' - - /** - * @type {number} - * @private - */ - this._confidence = prediction.confidence ?? 0 - } - - /** - * Label of the prediction - * - * @type {string} - */ - get label() { - return this._label - } - - set label(label) { - if (typeof label !== 'string') { - throw new Error('label must be a string') - } - - this._label = label - } - - /** - * Confidence of the prediction - * - * @type {number} - */ - get confidence() { - return this._confidence - } - - set confidence(confidence) { - if (typeof confidence !== 'number') { - throw new Error('confidence must be a number') - } - - this._confidence = confidence - } -} diff --git a/src/Prediction.ts b/src/Prediction.ts new file mode 100644 index 0000000..0a04a50 --- /dev/null +++ b/src/Prediction.ts @@ -0,0 +1,59 @@ +export class Prediction { + private _label: string; + private _confidence: number; + + /** + * @param {{ label?: string, confidence?: number }} prediction + */ + constructor(prediction: { label?: string; confidence?: number } = {}) { + if (Object.getPrototypeOf(prediction) !== Object.prototype) { + throw new Error("prediction must be an object literal"); + } + + /** + * @type {string} + * @private + */ + this._label = prediction.label ?? ""; + + /** + * @type {number} + * @private + */ + this._confidence = prediction.confidence ?? 0; + } + + /** + * Label of the prediction + * + * @type {string} + */ + get label() { + return this._label; + } + + set label(label) { + if (typeof label !== "string") { + throw new Error("label must be a string"); + } + + this._label = label; + } + + /** + * Confidence of the prediction + * + * @type {number} + */ + get confidence() { + return this._confidence; + } + + set confidence(confidence) { + if (typeof confidence !== "number") { + throw new Error("confidence must be a number"); + } + + this._confidence = confidence; + } +} diff --git a/src/Vocabulary.js b/src/Vocabulary.ts similarity index 86% rename from src/Vocabulary.js rename to src/Vocabulary.ts index d52925b..22187de 100644 --- a/src/Vocabulary.js +++ b/src/Vocabulary.ts @@ -1,8 +1,10 @@ export class Vocabulary { + private _terms: Set; + /** * @param {Array|Set} terms */ - constructor(terms = []) { + constructor(terms: Array | Set = []) { if (!Array.isArray(terms) && !(terms instanceof Set)) { throw new Error("terms must be either an Array or a Set"); } @@ -32,7 +34,7 @@ export class Vocabulary { return this._terms; } - set terms(terms) { + set terms(terms: Set | string[]) { if (!Array.isArray(terms) && !(terms instanceof Set)) { throw new Error("terms must be either an Array or a Set"); } @@ -46,7 +48,7 @@ export class Vocabulary { * @param {(string|Array|Set)} terms * @return {this} */ - add(terms) { + add(terms: string | Array | Set): this { if ( typeof terms !== "string" && !Array.isArray(terms) && @@ -74,7 +76,7 @@ export class Vocabulary { * @param {(string|Array|Set)} terms * @return {this} */ - remove(terms) { + remove(terms: string | Array | Set): this { if ( typeof terms !== "string" && !Array.isArray(terms) && @@ -102,7 +104,7 @@ export class Vocabulary { * @param {string} term * @return {boolean} */ - has(term) { + has(term: string): boolean { return this._terms.has(term); } @@ -112,7 +114,7 @@ export class Vocabulary { * @param {string} term * @return {number} */ - indexOf(term) { + indexOf(term: string): number { if (!this._terms.has(term)) { return -1; } diff --git a/src/index.js b/src/index.ts similarity index 66% rename from src/index.js rename to src/index.ts index 9b62e20..f3075f2 100644 --- a/src/index.js +++ b/src/index.ts @@ -1,4 +1,4 @@ export { Classifier } from "./Classifier.js"; -export { Model } from "./Model.js"; +export { Model, type ModelConfig, type ModelData } from "./Model.js"; export { Vocabulary } from "./Vocabulary.js"; export { Prediction } from "./Prediction.js"; diff --git a/test/Classifier.test.js b/test/Classifier.test.ts similarity index 100% rename from test/Classifier.test.js rename to test/Classifier.test.ts diff --git a/test/Model.test.js b/test/Model.test.ts similarity index 100% rename from test/Model.test.js rename to test/Model.test.ts diff --git a/test/Prediction.test.js b/test/Prediction.test.ts similarity index 100% rename from test/Prediction.test.js rename to test/Prediction.test.ts diff --git a/test/Vocabulary.test.js b/test/Vocabulary.test.ts similarity index 97% rename from test/Vocabulary.test.js rename to test/Vocabulary.test.ts index 9478455..1202d3f 100644 --- a/test/Vocabulary.test.js +++ b/test/Vocabulary.test.ts @@ -4,6 +4,7 @@ import { Vocabulary } from "../src/Vocabulary.js"; describe("Vocabulary", () => { describe("constructor", () => { test("should throw an error if terms is not an array or set", () => { + // @ts-expect-error Error check expect(() => new Vocabulary({})).toThrow(Error); }); }); @@ -55,6 +56,7 @@ describe("Vocabulary", () => { const vocabulary = new Vocabulary(); expect(() => { + // @ts-expect-error Error check vocabulary.terms = {}; }).toThrow(Error); }); @@ -64,6 +66,7 @@ describe("Vocabulary", () => { test("should throw an error if terms is not a string, array or set", () => { const vocabulary = new Vocabulary(); + // @ts-expect-error Error check expect(() => vocabulary.add({})).toThrow(Error); }); @@ -102,6 +105,7 @@ describe("Vocabulary", () => { test("should throw an error if terms is not a string, array or set", () => { const vocabulary = new Vocabulary(); + // @ts-expect-error Error check expect(() => vocabulary.remove({})).toThrow(Error); }); diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..5e805ba --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,13 @@ +{ + "compilerOptions": { + "noEmit": true, + "esModuleInterop": true, + "downlevelIteration": true, + "strict": true, + "lib": ["es2020", "dom"], + "moduleResolution": "NodeNext", + "module": "NodeNext" + }, + "include": ["src", "cli"], + "exclude": ["**/*.spec.*"] +} From 19d19afad4d9c2563ac80ff2bf9d6a1f90b2fb5c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 18:28:06 +0100 Subject: [PATCH 11/16] Type fixes --- src/Classifier.ts | 5 +---- src/Model.ts | 8 ++++---- 2 files changed, 5 insertions(+), 8 deletions(-) diff --git a/src/Classifier.ts b/src/Classifier.ts index 04f42f6..0805b41 100644 --- a/src/Classifier.ts +++ b/src/Classifier.ts @@ -6,9 +6,6 @@ import { Vocabulary } from "./Vocabulary.js"; export class Classifier { private _model: Model; - /** - * @param {Model | Partial} model - */ constructor(model: Model | Partial = {}) { if (!(model instanceof Model)) { model = new Model(model); @@ -30,7 +27,7 @@ export class Classifier { return this._model; } - set model(model) { + set model(model: Model) { if (!(model instanceof Model)) { model = new Model(model); } diff --git a/src/Model.ts b/src/Model.ts index adba2a4..19533be 100644 --- a/src/Model.ts +++ b/src/Model.ts @@ -134,12 +134,12 @@ export class Model { return this._vocabulary; } - set vocabulary(vocabulary) { - if (vocabulary !== false && !(vocabulary instanceof Vocabulary)) { - vocabulary = new Vocabulary(vocabulary); + set vocabulary(v: Vocabulary | false) { + if (v !== false && !(v instanceof Vocabulary)) { + v = new Vocabulary(v); } - this._vocabulary = vocabulary; + this._vocabulary = v; } /** From 6172754f445e79db37e29b5c01abd42a71357101 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Tue, 26 Mar 2024 18:28:25 +0100 Subject: [PATCH 12/16] Implemented PR 6 for tokenize spaces --- src/Classifier.ts | 33 ++++++++++++++++++--------------- test/Classifier.test.ts | 25 ++++++++++++++++++++++++- 2 files changed, 42 insertions(+), 16 deletions(-) diff --git a/src/Classifier.ts b/src/Classifier.ts index 0805b41..124eaad 100644 --- a/src/Classifier.ts +++ b/src/Classifier.ts @@ -217,27 +217,30 @@ export class Classifier { // Generate a list of n-grams along with their respective occurrences // based on the models configured min/max values - words.forEach((word, index) => { + words.forEach((_, index) => { let sequence = ""; - - // biome-ignore lint/complexity/noForEach: Complications when using for of loop - words.slice(index).forEach((nextWord) => { + let tokenCount = 0; + let nextWord: string; + + // Create n-gram(s) of between nGramMin and nGramMax words from segment starting at (index) + // Increment the occurrence counter (tokens[sequence]) for each n-gram created + // Stop looping once we have nGramMax words (or reach the end of the segment) + const segment = words.slice(index); + while (tokenCount < this._model.nGramMax && tokenCount < segment.length) { + nextWord = segment[tokenCount]; sequence += sequence ? ` ${nextWord}` : nextWord; - const tokenCount = sequence.split(" ").length; - + tokenCount++; if ( - tokenCount < this._model.nGramMin || - tokenCount > this._model.nGramMax + tokenCount >= this._model.nGramMin && + tokenCount <= this._model.nGramMax ) { - return; - } + if (typeof tokens[sequence] === "undefined") { + tokens[sequence] = 0; + } - if (!Object.prototype.hasOwnProperty.call(tokens, sequence)) { - tokens[sequence] = 0; + ++tokens[sequence]; } - - ++tokens[sequence]; - }); + } }); return tokens; diff --git a/test/Classifier.test.ts b/test/Classifier.test.ts index d73a547..052a872 100644 --- a/test/Classifier.test.ts +++ b/test/Classifier.test.ts @@ -1,4 +1,4 @@ -import { describe, test, expect } from "vitest"; +import { describe, test, expect, assert } from "vitest"; import { Classifier } from "../src/Classifier.js"; import { Model } from "../src/Model.js"; @@ -44,6 +44,7 @@ describe("Classifier", () => { test("should set the current model to a new model instance when passed an object literal", () => { const classifier = new Classifier(); + // @ts-expect-error setter type issue classifier.model = {}; expect(classifier.model).toBeInstanceOf(Model); @@ -54,6 +55,7 @@ describe("Classifier", () => { test("should throw an error if input is not a string", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.splitWords(1)).toThrow(Error); }); @@ -71,6 +73,7 @@ describe("Classifier", () => { test("should throw an error if input is neither a string or array", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.tokenize({})).toThrow(Error); }); @@ -140,12 +143,23 @@ describe("Classifier", () => { hello: 2, }); }); + + test("should create a unigrams for the space character from an array of characters including a space", () => { + const classifier = new Classifier(); + + expect(classifier.tokenize([" ", "a", "b"])).toEqual({ + " ": 1, + a: 1, + b: 1, + }); + }); }); describe("vectorize", () => { test("should throw an error if input is not an object literal", () => { const classifier = new Classifier(); + // @ts-expect-error Error checking expect(() => classifier.vectorize([])).toThrow(Error); }); @@ -195,12 +209,14 @@ describe("Classifier", () => { test("should throw an error if input is not a string or array", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.train({}, "test")).toThrow(Error); }); test("should throw an error if label is not a string", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.train("test", [])).toThrow(Error); }); @@ -211,6 +227,7 @@ describe("Classifier", () => { const vocabulary = classifier.model.vocabulary; + assert(vocabulary); expect(vocabulary.size).toStrictEqual(2); }); @@ -261,12 +278,14 @@ describe("Classifier", () => { test("should throw an error if v1 is not an object literal", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.cosineSimilarity(false, {})).toThrow(Error); }); test("should throw an error if v2 is not an object literal", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.cosineSimilarity({}, false)).toThrow(Error); }); @@ -352,18 +371,21 @@ describe("Classifier", () => { test("should throw an error if input is not a string", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.predict([])).toThrow(Error); }); test("should throw an error if maxMatches is not a number", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.predict("", "test")).toThrow(Error); }); test("should throw an error if minimumConfidence is not a number", () => { const classifier = new Classifier(); + // @ts-expect-error Invalid type check expect(() => classifier.predict("", undefined, "test")).toThrow(Error); }); @@ -419,6 +441,7 @@ describe("Classifier", () => { classifier.train("hello world", "test"); classifier.predict("hello foo world"); + assert(classifier.model.vocabulary); expect(classifier.model.vocabulary.has("foo")).toStrictEqual(false); }); }); From 0810a6b4860dd629158aa15f75b49761c02a07c7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Wed, 27 Mar 2024 08:20:44 +0100 Subject: [PATCH 13/16] Fixed entrypoints in package.json --- package.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/package.json b/package.json index 0b06049..cd457bf 100644 --- a/package.json +++ b/package.json @@ -3,13 +3,13 @@ "version": "3.0.0", "description": "Text classification using n-grams and cosine similarity", "type": "module", - "main": "./dist/index.js", - "module": "./dist/index.mjs", + "main": "./dist/index.cjs", + "module": "./dist/index.js", "types": "./dist/index.d.ts", "exports": { ".": { - "require": "./dist/index.js", - "import": "./dist/index.mjs", + "require": "./dist/index.cjs", + "import": "./dist/index.js", "types": "./dist/index.d.ts" } }, From 32c19bc909292f63da26db16916d4112fd54e7b2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Wed, 27 Mar 2024 08:31:25 +0100 Subject: [PATCH 14/16] Biome formatting --- .prettierignore | 1 + .vscode/extensions.json | 6 +- .vscode/settings.json | 7 +- biome.json | 5 + package.json | 3 +- src/Classifier.ts | 68 ++++++------- src/Model.ts | 22 ++--- src/Prediction.ts | 12 +-- src/Vocabulary.ts | 16 +-- src/index.ts | 8 +- test/Classifier.test.ts | 214 ++++++++++++++++++++-------------------- test/Model.test.ts | 92 ++++++++--------- test/Prediction.test.ts | 44 ++++----- test/Vocabulary.test.ts | 126 +++++++++++------------ 14 files changed, 316 insertions(+), 308 deletions(-) create mode 100644 .prettierignore diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000..fa29cdf --- /dev/null +++ b/.prettierignore @@ -0,0 +1 @@ +** \ No newline at end of file diff --git a/.vscode/extensions.json b/.vscode/extensions.json index 64dbfec..5e9018d 100644 --- a/.vscode/extensions.json +++ b/.vscode/extensions.json @@ -1,3 +1,5 @@ { - "recommendations": ["esbenp.prettier-vscode"] -} + "recommendations": [ + "biomejs.biome" + ] +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json index 0c4a68e..098568d 100755 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,6 +1,5 @@ { - "editor.formatOnSave": true, - "files.insertFinalNewline": true, - "editor.defaultFormatter": "esbenp.prettier-vscode", - "prettier.useTabs": true + "editor.formatOnSave": true, + "files.insertFinalNewline": true, + "editor.defaultFormatter": "biomejs.biome" } diff --git a/biome.json b/biome.json index 4dec53b..277b175 100644 --- a/biome.json +++ b/biome.json @@ -14,5 +14,10 @@ }, "files": { "ignore": ["dist/*"] + }, + "javascript": { + "formatter": { + "quoteStyle": "single" + } } } diff --git a/package.json b/package.json index cd457bf..46322d0 100644 --- a/package.json +++ b/package.json @@ -18,7 +18,8 @@ "test": "vitest run", "lint": "biome lint src test", "build": "tsup src/index.ts --format esm,cjs --dts --clean", - "prepublish": "npm run lint && npm run test && npm run build" + "prepublish": "npm run lint && npm run test && npm run build", + "format": "biome check --apply ." }, "repository": { "type": "git", diff --git a/src/Classifier.ts b/src/Classifier.ts index 124eaad..5c05dae 100644 --- a/src/Classifier.ts +++ b/src/Classifier.ts @@ -1,7 +1,7 @@ -import XRegExp from "xregexp"; -import { Model, type ModelConfig } from "./Model.js"; -import { Prediction } from "./Prediction.js"; -import { Vocabulary } from "./Vocabulary.js"; +import XRegExp from 'xregexp'; +import { Model, type ModelConfig } from './Model.js'; +import { Prediction } from './Prediction.js'; +import { Vocabulary } from './Vocabulary.js'; export class Classifier { private _model: Model; @@ -43,12 +43,12 @@ export class Classifier { * @return {this} */ train(input: string | string[], label: string): this { - if (typeof input !== "string" && !Array.isArray(input)) { - throw new Error("input must be either a string or Array"); + if (typeof input !== 'string' && !Array.isArray(input)) { + throw new Error('input must be either a string or Array'); } - if (typeof label !== "string") { - throw new Error("label must be a string"); + if (typeof label !== 'string') { + throw new Error('label must be a string'); } // If input isn't an array, convert to a single item array @@ -103,26 +103,26 @@ export class Classifier { predict( input: string, maxMatches = 1, - minimumConfidence = 0.2 + minimumConfidence = 0.2, ): Array { - if (typeof input !== "string") { - throw new Error("input must be a string"); + if (typeof input !== 'string') { + throw new Error('input must be a string'); } - if (!["number", "undefined"].includes(typeof maxMatches)) { - throw new Error("maxMatches must be either a number or undefined"); + if (!['number', 'undefined'].includes(typeof maxMatches)) { + throw new Error('maxMatches must be either a number or undefined'); } - if (!["number", "undefined"].includes(typeof minimumConfidence)) { - throw new Error("minimumConfidence must be either a number or undefined"); + if (!['number', 'undefined'].includes(typeof minimumConfidence)) { + throw new Error('minimumConfidence must be either a number or undefined'); } if (minimumConfidence < 0) { - throw new Error("minimumConfidence can not be lower than 0"); + throw new Error('minimumConfidence can not be lower than 0'); } if (minimumConfidence > 1) { - throw new Error("minimumConfidence can not be higher than 1"); + throw new Error('minimumConfidence can not be higher than 1'); } // Convert the string to a tokenized object @@ -151,7 +151,7 @@ export class Classifier { new Prediction({ label, confidence, - }) + }), ); } } @@ -175,21 +175,21 @@ export class Classifier { * @return {string[]} */ splitWords(input: string): string[] { - if (typeof input !== "string") { - throw new Error("input must be a string"); + if (typeof input !== 'string') { + throw new Error('input must be a string'); } // Remove all apostrophes and dashes to keep words intact - input = input.replace(/'|´|’|-/g, ""); + input = input.replace(/'|´|’|-/g, ''); // Lowercase all letters and replace all non-letter characters with a space input = XRegExp.replace( input.toLocaleLowerCase(), - XRegExp("\\P{L}+", "g"), - " " + XRegExp('\\P{L}+', 'g'), + ' ', ).trim(); - return input.split(" "); + return input.split(' '); } /** @@ -200,14 +200,14 @@ export class Classifier { * @return {Record} */ tokenize(input: string | string[]): Record { - const words = typeof input === "string" ? this.splitWords(input) : input; + const words = typeof input === 'string' ? this.splitWords(input) : input; if (!Array.isArray(words)) { - throw new Error("input must be either a string or Array"); + throw new Error('input must be either a string or Array'); } if (this._model.nGramMax < this._model.nGramMin) { - throw new Error("Invalid nGramMin/nGramMax combination in model config"); + throw new Error('Invalid nGramMin/nGramMax combination in model config'); } /** @@ -218,7 +218,7 @@ export class Classifier { // Generate a list of n-grams along with their respective occurrences // based on the models configured min/max values words.forEach((_, index) => { - let sequence = ""; + let sequence = ''; let tokenCount = 0; let nextWord: string; @@ -234,7 +234,7 @@ export class Classifier { tokenCount >= this._model.nGramMin && tokenCount <= this._model.nGramMax ) { - if (typeof tokens[sequence] === "undefined") { + if (typeof tokens[sequence] === 'undefined') { tokens[sequence] = 0; } @@ -259,12 +259,12 @@ export class Classifier { vocabulary: Vocabulary; } { if (Object.getPrototypeOf(tokens) !== Object.prototype) { - throw new Error("tokens must be an object literal"); + throw new Error('tokens must be an object literal'); } /* istanbul ignore next */ if (this._model.vocabulary === false) { - throw new Error("Cannot vectorize tokens when vocabulary is false"); + throw new Error('Cannot vectorize tokens when vocabulary is false'); } /** @@ -300,13 +300,13 @@ export class Classifier { */ cosineSimilarity( v1: Record, - v2: Record + v2: Record, ): number { if (Object.getPrototypeOf(v1) !== Object.prototype) { - throw new Error("v1 must be an object literal"); + throw new Error('v1 must be an object literal'); } if (Object.getPrototypeOf(v2) !== Object.prototype) { - throw new Error("v2 must be an object literal"); + throw new Error('v2 must be an object literal'); } let prod = 0.0; diff --git a/src/Model.ts b/src/Model.ts index 19533be..216ba07 100644 --- a/src/Model.ts +++ b/src/Model.ts @@ -1,4 +1,4 @@ -import { Vocabulary } from "./Vocabulary.js"; +import { Vocabulary } from './Vocabulary.js'; export type ModelData = Record>; @@ -20,7 +20,7 @@ export class Model { */ constructor(config: Partial = {}) { if (Object.getPrototypeOf(config) !== Object.prototype) { - throw new Error("config must be an object literal"); + throw new Error('config must be an object literal'); } config = { @@ -32,23 +32,23 @@ export class Model { }; if (config.nGramMin !== Number.parseInt(String(config.nGramMin), 10)) { - throw new Error("Config value nGramMin must be an integer"); + throw new Error('Config value nGramMin must be an integer'); } if (config.nGramMax !== Number.parseInt(String(config.nGramMax), 10)) { - throw new Error("Config value nGramMax must be an integer"); + throw new Error('Config value nGramMax must be an integer'); } if (config.nGramMin < 1) { - throw new Error("Config value nGramMin must be at least 1"); + throw new Error('Config value nGramMin must be at least 1'); } if (config.nGramMax < 1) { - throw new Error("Config value nGramMax must be at least 1"); + throw new Error('Config value nGramMax must be at least 1'); } if (config.nGramMax < config.nGramMin) { - throw new Error("Invalid nGramMin/nGramMax combination in config"); + throw new Error('Invalid nGramMin/nGramMax combination in config'); } if ( @@ -69,7 +69,7 @@ export class Model { } if (Object.getPrototypeOf(config.data) !== Object.prototype) { - throw new Error("Config value data must be an object literal"); + throw new Error('Config value data must be an object literal'); } /** @@ -102,7 +102,7 @@ export class Model { set nGramMin(size) { if (size !== Number.parseInt(String(size), 10)) { - throw new Error("nGramMin must be an integer"); + throw new Error('nGramMin must be an integer'); } this._nGramMin = size; @@ -119,7 +119,7 @@ export class Model { set nGramMax(size) { if (size !== Number.parseInt(String(size), 10)) { - throw new Error("nGramMax must be an integer"); + throw new Error('nGramMax must be an integer'); } this._nGramMax = size; @@ -153,7 +153,7 @@ export class Model { set data(data) { if (!(data instanceof Object) || data.constructor !== Object) { - throw new Error("data must be an object literal"); + throw new Error('data must be an object literal'); } this._data = { ...data }; diff --git a/src/Prediction.ts b/src/Prediction.ts index 0a04a50..5b9e48e 100644 --- a/src/Prediction.ts +++ b/src/Prediction.ts @@ -7,14 +7,14 @@ export class Prediction { */ constructor(prediction: { label?: string; confidence?: number } = {}) { if (Object.getPrototypeOf(prediction) !== Object.prototype) { - throw new Error("prediction must be an object literal"); + throw new Error('prediction must be an object literal'); } /** * @type {string} * @private */ - this._label = prediction.label ?? ""; + this._label = prediction.label ?? ''; /** * @type {number} @@ -33,8 +33,8 @@ export class Prediction { } set label(label) { - if (typeof label !== "string") { - throw new Error("label must be a string"); + if (typeof label !== 'string') { + throw new Error('label must be a string'); } this._label = label; @@ -50,8 +50,8 @@ export class Prediction { } set confidence(confidence) { - if (typeof confidence !== "number") { - throw new Error("confidence must be a number"); + if (typeof confidence !== 'number') { + throw new Error('confidence must be a number'); } this._confidence = confidence; diff --git a/src/Vocabulary.ts b/src/Vocabulary.ts index 22187de..7a9c487 100644 --- a/src/Vocabulary.ts +++ b/src/Vocabulary.ts @@ -6,7 +6,7 @@ export class Vocabulary { */ constructor(terms: Array | Set = []) { if (!Array.isArray(terms) && !(terms instanceof Set)) { - throw new Error("terms must be either an Array or a Set"); + throw new Error('terms must be either an Array or a Set'); } /** @@ -36,7 +36,7 @@ export class Vocabulary { set terms(terms: Set | string[]) { if (!Array.isArray(terms) && !(terms instanceof Set)) { - throw new Error("terms must be either an Array or a Set"); + throw new Error('terms must be either an Array or a Set'); } this._terms = new Set(terms); @@ -50,14 +50,14 @@ export class Vocabulary { */ add(terms: string | Array | Set): this { if ( - typeof terms !== "string" && + typeof terms !== 'string' && !Array.isArray(terms) && !(terms instanceof Set) ) { - throw new Error("terms must be either a string, Array or Set"); + throw new Error('terms must be either a string, Array or Set'); } - if (typeof terms === "string") { + if (typeof terms === 'string') { terms = [terms]; } else if (terms instanceof Set) { terms = Array.from(terms); @@ -78,14 +78,14 @@ export class Vocabulary { */ remove(terms: string | Array | Set): this { if ( - typeof terms !== "string" && + typeof terms !== 'string' && !Array.isArray(terms) && !(terms instanceof Set) ) { - throw new Error("terms must be either a string, Array or Set"); + throw new Error('terms must be either a string, Array or Set'); } - if (typeof terms === "string") { + if (typeof terms === 'string') { terms = [terms]; } else if (terms instanceof Set) { terms = Array.from(terms); diff --git a/src/index.ts b/src/index.ts index f3075f2..18bc2c8 100644 --- a/src/index.ts +++ b/src/index.ts @@ -1,4 +1,4 @@ -export { Classifier } from "./Classifier.js"; -export { Model, type ModelConfig, type ModelData } from "./Model.js"; -export { Vocabulary } from "./Vocabulary.js"; -export { Prediction } from "./Prediction.js"; +export { Classifier } from './Classifier.js'; +export { Model, type ModelConfig, type ModelData } from './Model.js'; +export { Vocabulary } from './Vocabulary.js'; +export { Prediction } from './Prediction.js'; diff --git a/test/Classifier.test.ts b/test/Classifier.test.ts index 052a872..68dc2e4 100644 --- a/test/Classifier.test.ts +++ b/test/Classifier.test.ts @@ -1,21 +1,21 @@ -import { describe, test, expect, assert } from "vitest"; +import { assert, describe, expect, test } from 'vitest'; -import { Classifier } from "../src/Classifier.js"; -import { Model } from "../src/Model.js"; +import { Classifier } from '../src/Classifier.js'; +import { Model } from '../src/Model.js'; -describe("Classifier", () => { - describe("constructor", () => { - test("should set the model when passed a model instance", () => { +describe('Classifier', () => { + describe('constructor', () => { + test('should set the model when passed a model instance', () => { const classifier = new Classifier( new Model({ nGramMax: 4, - }) + }), ); expect(classifier.model.nGramMax).toStrictEqual(4); }); - test("should set the model when passed an object literal", () => { + test('should set the model when passed an object literal', () => { const classifier = new Classifier({ nGramMax: 5, }); @@ -24,14 +24,14 @@ describe("Classifier", () => { }); }); - describe("model", () => { - test("should return a model instance", () => { + describe('model', () => { + test('should return a model instance', () => { const classifier = new Classifier(); expect(classifier.model).toBeInstanceOf(Model); }); - test("should set the current model when passed a model instance", () => { + test('should set the current model when passed a model instance', () => { const classifier = new Classifier(); classifier.model = new Model({ @@ -41,7 +41,7 @@ describe("Classifier", () => { expect(classifier.model.nGramMax).toStrictEqual(3); }); - test("should set the current model to a new model instance when passed an object literal", () => { + test('should set the current model to a new model instance when passed an object literal', () => { const classifier = new Classifier(); // @ts-expect-error setter type issue @@ -51,119 +51,119 @@ describe("Classifier", () => { }); }); - describe("splitWords", () => { - test("should throw an error if input is not a string", () => { + describe('splitWords', () => { + test('should throw an error if input is not a string', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check expect(() => classifier.splitWords(1)).toThrow(Error); }); - test("should split a string into an array of words", () => { + test('should split a string into an array of words', () => { const classifier = new Classifier(); - expect(classifier.splitWords("Hello world!")).toStrictEqual([ - "hello", - "world", + expect(classifier.splitWords('Hello world!')).toStrictEqual([ + 'hello', + 'world', ]); }); }); - describe("tokenize", () => { - test("should throw an error if input is neither a string or array", () => { + describe('tokenize', () => { + test('should throw an error if input is neither a string or array', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check expect(() => classifier.tokenize({})).toThrow(Error); }); - test("should throw an error if nGramMax is less than nGramMin in model config", () => { + test('should throw an error if nGramMax is less than nGramMin in model config', () => { const classifier = new Classifier(); classifier.model.nGramMin = 2; - expect(() => classifier.tokenize("Hello world!")).toThrow(Error); + expect(() => classifier.tokenize('Hello world!')).toThrow(Error); }); - test("should return an object literal of tokens and their occurrences from a string", () => { + test('should return an object literal of tokens and their occurrences from a string', () => { const classifier = new Classifier(); - expect(classifier.tokenize("Hello world!")).toStrictEqual({ + expect(classifier.tokenize('Hello world!')).toStrictEqual({ hello: 1, world: 1, }); }); - test("should return an object literal of tokens and their occurrences from a string", () => { + test('should return an object literal of tokens and their occurrences from a string', () => { const classifier = new Classifier(); - expect(classifier.tokenize("Hello world!")).toStrictEqual({ + expect(classifier.tokenize('Hello world!')).toStrictEqual({ hello: 1, world: 1, }); }); - test("should return an object literal of tokens and their occurrences from a array", () => { + test('should return an object literal of tokens and their occurrences from a array', () => { const classifier = new Classifier(); - expect(classifier.tokenize(["hello", "world"])).toStrictEqual({ + expect(classifier.tokenize(['hello', 'world'])).toStrictEqual({ hello: 1, world: 1, }); }); - test("should return an object literal of bigrams when nGramMin/nGramMax is 2", () => { + test('should return an object literal of bigrams when nGramMin/nGramMax is 2', () => { const classifier = new Classifier({ nGramMin: 2, nGramMax: 2, }); - expect(classifier.tokenize("Hello world!")).toStrictEqual({ - "hello world": 1, + expect(classifier.tokenize('Hello world!')).toStrictEqual({ + 'hello world': 1, }); }); - test("should return an object literal of unigrams and bigrams when nGramMin/nGramMax is 1/2", () => { + test('should return an object literal of unigrams and bigrams when nGramMin/nGramMax is 1/2', () => { const classifier = new Classifier({ nGramMin: 1, nGramMax: 2, }); - expect(classifier.tokenize("Hello world!")).toStrictEqual({ + expect(classifier.tokenize('Hello world!')).toStrictEqual({ hello: 1, - "hello world": 1, + 'hello world': 1, world: 1, }); }); - test("should increment the occurrence of the duplicate tokens", () => { + test('should increment the occurrence of the duplicate tokens', () => { const classifier = new Classifier(); - expect(classifier.tokenize("Hello hello!")).toStrictEqual({ + expect(classifier.tokenize('Hello hello!')).toStrictEqual({ hello: 2, }); }); - test("should create a unigrams for the space character from an array of characters including a space", () => { + test('should create a unigrams for the space character from an array of characters including a space', () => { const classifier = new Classifier(); - expect(classifier.tokenize([" ", "a", "b"])).toEqual({ - " ": 1, + expect(classifier.tokenize([' ', 'a', 'b'])).toEqual({ + ' ': 1, a: 1, b: 1, }); }); }); - describe("vectorize", () => { - test("should throw an error if input is not an object literal", () => { + describe('vectorize', () => { + test('should throw an error if input is not an object literal', () => { const classifier = new Classifier(); // @ts-expect-error Error checking expect(() => classifier.vectorize([])).toThrow(Error); }); - test("should throw an error if vocabulary config option is set to false", () => { + test('should throw an error if vocabulary config option is set to false', () => { const classifier = new Classifier({ vocabulary: false, }); @@ -171,59 +171,59 @@ describe("Classifier", () => { expect(() => classifier.vectorize({ hello: 1 })).toThrow(Error); }); - test("should convert key to its corresponding vocabulary term index", () => { + test('should convert key to its corresponding vocabulary term index', () => { const classifier = new Classifier(); - const tokens = classifier.tokenize("Hello"); + const tokens = classifier.tokenize('Hello'); const { vector } = classifier.vectorize(tokens); expect(vector).toStrictEqual({ 0: 1 }); }); - test("should use existing term index when token is already in vocabulary", () => { + test('should use existing term index when token is already in vocabulary', () => { const classifier = new Classifier({ - vocabulary: ["hello", "world"], + vocabulary: ['hello', 'world'], }); - const tokens = classifier.tokenize("world"); + const tokens = classifier.tokenize('world'); const { vector } = classifier.vectorize(tokens); expect(vector).toStrictEqual({ 1: 1 }); }); - test("should return an updated copy of the vocabulary", () => { + test('should return an updated copy of the vocabulary', () => { const classifier = new Classifier(); - const tokens = classifier.tokenize("Hello world"); + const tokens = classifier.tokenize('Hello world'); const { vocabulary } = classifier.vectorize(tokens); const terms = vocabulary.terms; - expect(Array.from(terms)).toStrictEqual(["hello", "world"]); + expect(Array.from(terms)).toStrictEqual(['hello', 'world']); }); }); - describe("train", () => { - test("should throw an error if input is not a string or array", () => { + describe('train', () => { + test('should throw an error if input is not a string or array', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check - expect(() => classifier.train({}, "test")).toThrow(Error); + expect(() => classifier.train({}, 'test')).toThrow(Error); }); - test("should throw an error if label is not a string", () => { + test('should throw an error if label is not a string', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check - expect(() => classifier.train("test", [])).toThrow(Error); + expect(() => classifier.train('test', [])).toThrow(Error); }); - test("should add tokens to the vocabulary (if not configured to false)", () => { + test('should add tokens to the vocabulary (if not configured to false)', () => { const classifier = new Classifier(); - classifier.train("hello world", "test"); + classifier.train('hello world', 'test'); const vocabulary = classifier.model.vocabulary; @@ -231,10 +231,10 @@ describe("Classifier", () => { expect(vocabulary.size).toStrictEqual(2); }); - test("should add tokens (and their occurrences) to the model from a string", () => { + test('should add tokens (and their occurrences) to the model from a string', () => { const classifier = new Classifier(); - classifier.train("hello world", "test"); + classifier.train('hello world', 'test'); const model = classifier.model; @@ -243,10 +243,10 @@ describe("Classifier", () => { }); }); - test("should add tokens (and their occurrences) to the model from an array of strings", () => { + test('should add tokens (and their occurrences) to the model from an array of strings', () => { const classifier = new Classifier(); - classifier.train(["hello world", "foo", "bar"], "test"); + classifier.train(['hello world', 'foo', 'bar'], 'test'); const model = classifier.model; @@ -255,10 +255,10 @@ describe("Classifier", () => { }); }); - test("should increment the occurrence of an existing vocabulary term", () => { + test('should increment the occurrence of an existing vocabulary term', () => { const classifier = new Classifier(); - classifier.train(["hello world", "foo", "hello"], "test"); + classifier.train(['hello world', 'foo', 'hello'], 'test'); const model = classifier.model; @@ -267,29 +267,29 @@ describe("Classifier", () => { }); }); - test("should return classifier instance", () => { + test('should return classifier instance', () => { const classifier = new Classifier(); - expect(classifier.train("hello world", "test")).toStrictEqual(classifier); + expect(classifier.train('hello world', 'test')).toStrictEqual(classifier); }); }); - describe("cosineSimilarity", () => { - test("should throw an error if v1 is not an object literal", () => { + describe('cosineSimilarity', () => { + test('should throw an error if v1 is not an object literal', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check expect(() => classifier.cosineSimilarity(false, {})).toThrow(Error); }); - test("should throw an error if v2 is not an object literal", () => { + test('should throw an error if v2 is not an object literal', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check expect(() => classifier.cosineSimilarity({}, false)).toThrow(Error); }); - test("should return 1 on identical object literals", () => { + test('should return 1 on identical object literals', () => { const classifier = new Classifier(); expect( @@ -299,12 +299,12 @@ describe("Classifier", () => { }, { 0: 1, - } - ) + }, + ), ).toStrictEqual(1); }); - test("should return 0 on object literals with no similarity", () => { + test('should return 0 on object literals with no similarity', () => { const classifier = new Classifier(); expect( @@ -314,12 +314,12 @@ describe("Classifier", () => { }, { 1: 1, - } - ) + }, + ), ).toStrictEqual(0); }); - test("should return > 0 on similar object literals", () => { + test('should return > 0 on similar object literals', () => { const classifier = new Classifier(); expect( @@ -331,12 +331,12 @@ describe("Classifier", () => { { 0: 1, 2: 1, - } - ) + }, + ), ).toBeGreaterThan(0); }); - test("should return 0 when sum of v1 is 0", () => { + test('should return 0 when sum of v1 is 0', () => { const classifier = new Classifier(); expect( @@ -346,12 +346,12 @@ describe("Classifier", () => { }, { 0: 1, - } - ) + }, + ), ).toStrictEqual(0); }); - test("should return 0 when sum of v2 is 0", () => { + test('should return 0 when sum of v2 is 0', () => { const classifier = new Classifier(); expect( @@ -361,88 +361,88 @@ describe("Classifier", () => { }, { 0: 0, - } - ) + }, + ), ).toStrictEqual(0); }); }); - describe("predict", () => { - test("should throw an error if input is not a string", () => { + describe('predict', () => { + test('should throw an error if input is not a string', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check expect(() => classifier.predict([])).toThrow(Error); }); - test("should throw an error if maxMatches is not a number", () => { + test('should throw an error if maxMatches is not a number', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check - expect(() => classifier.predict("", "test")).toThrow(Error); + expect(() => classifier.predict('', 'test')).toThrow(Error); }); - test("should throw an error if minimumConfidence is not a number", () => { + test('should throw an error if minimumConfidence is not a number', () => { const classifier = new Classifier(); // @ts-expect-error Invalid type check - expect(() => classifier.predict("", undefined, "test")).toThrow(Error); + expect(() => classifier.predict('', undefined, 'test')).toThrow(Error); }); - test("should throw an error if minimumConfidence is lower than 0", () => { + test('should throw an error if minimumConfidence is lower than 0', () => { const classifier = new Classifier(); - expect(() => classifier.predict("", undefined, -1)).toThrow(Error); + expect(() => classifier.predict('', undefined, -1)).toThrow(Error); }); - test("should throw an error if minimumConfidence is higher than 1", () => { + test('should throw an error if minimumConfidence is higher than 1', () => { const classifier = new Classifier(); - expect(() => classifier.predict("", undefined, 2)).toThrow(Error); + expect(() => classifier.predict('', undefined, 2)).toThrow(Error); }); - test("should return an array", () => { + test('should return an array', () => { const classifier = new Classifier(); - expect(classifier.predict("test")).toBeInstanceOf(Array); + expect(classifier.predict('test')).toBeInstanceOf(Array); }); - test("should return one prediction when trained with a sample", () => { + test('should return one prediction when trained with a sample', () => { const classifier = new Classifier(); - classifier.train("hello world", "test"); + classifier.train('hello world', 'test'); - expect(classifier.predict("hello world").length).toStrictEqual(1); + expect(classifier.predict('hello world').length).toStrictEqual(1); }); - test("should not include predictions with a confidence below the configured minimumConfidence", () => { + test('should not include predictions with a confidence below the configured minimumConfidence', () => { const classifier = new Classifier(); - classifier.train("hello world", "test"); + classifier.train('hello world', 'test'); const minimumConfidence = 0.8; const predictions = classifier.predict( - "hello", + 'hello', undefined, - minimumConfidence + minimumConfidence, ); expect( predictions.filter((prediction) => { return prediction.confidence < minimumConfidence; - }).length + }).length, ).toStrictEqual(0); }); - test("should not update the model vocabulary", () => { + test('should not update the model vocabulary', () => { const classifier = new Classifier(); - classifier.train("hello world", "test"); - classifier.predict("hello foo world"); + classifier.train('hello world', 'test'); + classifier.predict('hello foo world'); assert(classifier.model.vocabulary); - expect(classifier.model.vocabulary.has("foo")).toStrictEqual(false); + expect(classifier.model.vocabulary.has('foo')).toStrictEqual(false); }); }); }); diff --git a/test/Model.test.ts b/test/Model.test.ts index 148bc75..a333470 100644 --- a/test/Model.test.ts +++ b/test/Model.test.ts @@ -1,78 +1,78 @@ -import { describe, test, expect } from "vitest"; +import { describe, expect, test } from 'vitest'; -import { Model } from "../src/Model.js"; -import { Vocabulary } from "../src/Vocabulary.js"; +import { Model } from '../src/Model.js'; +import { Vocabulary } from '../src/Vocabulary.js'; -describe("Model", () => { - describe("constructor", () => { - test("should throw an error if config is not an object literal", () => { +describe('Model', () => { + describe('constructor', () => { + test('should throw an error if config is not an object literal', () => { expect(() => new Model([])).toThrow(Error); }); - test("should throw an error if config option nGramMin is not a number", () => { + test('should throw an error if config option nGramMin is not a number', () => { expect( () => new Model({ - nGramMin: "", - }) + nGramMin: '', + }), ).toThrow(Error); }); - test("should throw an error if config option nGramMax is not a number", () => { + test('should throw an error if config option nGramMax is not a number', () => { expect( () => new Model({ - nGramMax: "", - }) + nGramMax: '', + }), ).toThrow(Error); }); - test("should throw an error if config option nGramMin is less than 1", () => { + test('should throw an error if config option nGramMin is less than 1', () => { expect( () => new Model({ nGramMin: 0, - }) + }), ).toThrow(Error); }); - test("should throw an error if config option nGramMax is less than 1", () => { + test('should throw an error if config option nGramMax is less than 1', () => { expect( () => new Model({ nGramMax: 0, - }) + }), ).toThrow(Error); }); - test("should throw an error if config option nGramMax is less than nGramMin", () => { + test('should throw an error if config option nGramMax is less than nGramMin', () => { expect( () => new Model({ nGramMin: 2, nGramMax: 1, - }) + }), ).toThrow(Error); }); - test("should throw an error if data is not an object literal", () => { + test('should throw an error if data is not an object literal', () => { expect( () => new Model({ data: [], - }) + }), ).toThrow(Error); }); }); - describe("nGramMin", () => { - test("should return a number", () => { + describe('nGramMin', () => { + test('should return a number', () => { const model = new Model(); - expect(typeof model.nGramMin).toStrictEqual("number"); + expect(typeof model.nGramMin).toStrictEqual('number'); }); - test("should return the current nGramMin value", () => { + test('should return the current nGramMin value', () => { const model = new Model({ nGramMin: 3, nGramMax: 4, @@ -81,7 +81,7 @@ describe("Model", () => { expect(model.nGramMin).toStrictEqual(3); }); - test("should set the nGramMin value", () => { + test('should set the nGramMin value', () => { const model = new Model(); model.nGramMin = 2; @@ -89,7 +89,7 @@ describe("Model", () => { expect(model.nGramMin).toStrictEqual(2); }); - test("should throw an error if size is not an integer", () => { + test('should throw an error if size is not an integer', () => { const model = new Model(); expect(() => { @@ -98,14 +98,14 @@ describe("Model", () => { }); }); - describe("nGramMax", () => { - test("should return a number", () => { + describe('nGramMax', () => { + test('should return a number', () => { const model = new Model(); - expect(typeof model.nGramMax).toStrictEqual("number"); + expect(typeof model.nGramMax).toStrictEqual('number'); }); - test("should return the current nGramMax value", () => { + test('should return the current nGramMax value', () => { const model = new Model({ nGramMax: 2, }); @@ -113,7 +113,7 @@ describe("Model", () => { expect(model.nGramMax).toStrictEqual(2); }); - test("should set the nGramMax value", () => { + test('should set the nGramMax value', () => { const model = new Model(); model.nGramMax = 3; @@ -121,7 +121,7 @@ describe("Model", () => { expect(model.nGramMax).toStrictEqual(3); }); - test("should throw an error if size is not an integer", () => { + test('should throw an error if size is not an integer', () => { const model = new Model(); expect(() => { @@ -130,14 +130,14 @@ describe("Model", () => { }); }); - describe("vocabulary", () => { - test("should return a vocabulary instance", () => { + describe('vocabulary', () => { + test('should return a vocabulary instance', () => { const model = new Model(); expect(model.vocabulary).toBeInstanceOf(Vocabulary); }); - test("should return false when vocabulary is configured to false", () => { + test('should return false when vocabulary is configured to false', () => { const model = new Model({ vocabulary: false, }); @@ -145,18 +145,18 @@ describe("Model", () => { expect(model.vocabulary).toStrictEqual(false); }); - test("should set the vocabulary value when passing an array", () => { + test('should set the vocabulary value when passing an array', () => { const model = new Model(); - model.vocabulary = ["hello", "world"]; + model.vocabulary = ['hello', 'world']; expect(Array.from(model.vocabulary.terms)).toStrictEqual([ - "hello", - "world", + 'hello', + 'world', ]); }); - test("should set the vocabulary value when passing false", () => { + test('should set the vocabulary value when passing false', () => { const model = new Model(); model.vocabulary = false; @@ -165,14 +165,14 @@ describe("Model", () => { }); }); - describe("data", () => { - test("should return an object literal", () => { + describe('data', () => { + test('should return an object literal', () => { const model = new Model(); expect(model.data).toStrictEqual({}); }); - test("should set the model data", () => { + test('should set the model data', () => { const model = new Model(); model.data = { @@ -184,7 +184,7 @@ describe("Model", () => { }); }); - test("should throw an error if data is not an object literal", () => { + test('should throw an error if data is not an object literal', () => { const model = new Model(); expect(() => { @@ -193,8 +193,8 @@ describe("Model", () => { }); }); - describe("serialize", () => { - test("should return an object literal created from the current model", () => { + describe('serialize', () => { + test('should return an object literal created from the current model', () => { const model = new Model(); expect(model.serialize()).toStrictEqual({ diff --git a/test/Prediction.test.ts b/test/Prediction.test.ts index 6beb58a..5ac04bc 100644 --- a/test/Prediction.test.ts +++ b/test/Prediction.test.ts @@ -1,15 +1,15 @@ -import { describe, test, expect } from "vitest"; -import { Prediction } from "../src/Prediction.js"; +import { describe, expect, test } from 'vitest'; +import { Prediction } from '../src/Prediction.js'; -describe("Prediction", () => { - describe("constructor", () => { - test("should throw an error if prediction is not an object literal", () => { +describe('Prediction', () => { + describe('constructor', () => { + test('should throw an error if prediction is not an object literal', () => { expect(() => new Prediction([])).toThrow(Error); }); }); - describe("label", () => { - test("should throw an error if label is not a string", () => { + describe('label', () => { + test('should throw an error if label is not a string', () => { const prediction = new Prediction(); expect(() => { @@ -17,45 +17,45 @@ describe("Prediction", () => { }).toThrow(Error); }); - test("should return a string", () => { + test('should return a string', () => { const prediction = new Prediction(); - expect(typeof prediction.label).toStrictEqual("string"); + expect(typeof prediction.label).toStrictEqual('string'); }); - test("should return the defined prediction label", () => { + test('should return the defined prediction label', () => { const prediction = new Prediction({ - label: "test", + label: 'test', }); - expect(prediction.label).toStrictEqual("test"); + expect(prediction.label).toStrictEqual('test'); }); - test("should set the prediction label", () => { + test('should set the prediction label', () => { const prediction = new Prediction(); - prediction.label = "test"; + prediction.label = 'test'; - expect(prediction.label).toStrictEqual("test"); + expect(prediction.label).toStrictEqual('test'); }); }); - describe("confidence", () => { - test("should throw an error if confidence is not a number", () => { + describe('confidence', () => { + test('should throw an error if confidence is not a number', () => { const prediction = new Prediction(); expect(() => { - prediction.confidence = "test"; + prediction.confidence = 'test'; }).toThrow(Error); }); - test("should return a number", () => { + test('should return a number', () => { const prediction = new Prediction(); - expect(typeof prediction.confidence).toStrictEqual("number"); + expect(typeof prediction.confidence).toStrictEqual('number'); }); - test("should return the defined prediction confidence", () => { + test('should return the defined prediction confidence', () => { const prediction = new Prediction({ confidence: 0.5, }); @@ -63,7 +63,7 @@ describe("Prediction", () => { expect(prediction.confidence).toBeCloseTo(0.5); }); - test("should set the prediction confidence", () => { + test('should set the prediction confidence', () => { const prediction = new Prediction(); prediction.confidence = 1; diff --git a/test/Vocabulary.test.ts b/test/Vocabulary.test.ts index 1202d3f..d89a15c 100644 --- a/test/Vocabulary.test.ts +++ b/test/Vocabulary.test.ts @@ -1,58 +1,58 @@ -import { describe, test, expect } from "vitest"; -import { Vocabulary } from "../src/Vocabulary.js"; +import { describe, expect, test } from 'vitest'; +import { Vocabulary } from '../src/Vocabulary.js'; -describe("Vocabulary", () => { - describe("constructor", () => { - test("should throw an error if terms is not an array or set", () => { +describe('Vocabulary', () => { + describe('constructor', () => { + test('should throw an error if terms is not an array or set', () => { // @ts-expect-error Error check expect(() => new Vocabulary({})).toThrow(Error); }); }); - describe("size", () => { - test("should return a number", () => { + describe('size', () => { + test('should return a number', () => { const vocabulary = new Vocabulary(); - expect(typeof vocabulary.size).toStrictEqual("number"); + expect(typeof vocabulary.size).toStrictEqual('number'); }); - test("should return the vocabulary size", () => { - const vocabulary = new Vocabulary(["hello"]); + test('should return the vocabulary size', () => { + const vocabulary = new Vocabulary(['hello']); expect(vocabulary.size).toStrictEqual(1); }); }); - describe("terms", () => { - test("should return a set instance", () => { + describe('terms', () => { + test('should return a set instance', () => { const vocabulary = new Vocabulary(); expect(vocabulary.terms).toBeInstanceOf(Set); }); - test("should return the vocabulary terms", () => { - const vocabulary = new Vocabulary(["hello"]); + test('should return the vocabulary terms', () => { + const vocabulary = new Vocabulary(['hello']); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']); }); - test("should set the vocabulary terms from an array", () => { + test('should set the vocabulary terms from an array', () => { const vocabulary = new Vocabulary(); - vocabulary.terms = ["hello", "world"]; + vocabulary.terms = ['hello', 'world']; - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello', 'world']); }); - test("should set the vocabulary terms from a set", () => { + test('should set the vocabulary terms from a set', () => { const vocabulary = new Vocabulary(); - vocabulary.terms = new Set(["hello", "world"]); + vocabulary.terms = new Set(['hello', 'world']); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello', 'world']); }); - test("should throw an error if terms is not an array or set", () => { + test('should throw an error if terms is not an array or set', () => { const vocabulary = new Vocabulary(); expect(() => { @@ -62,109 +62,109 @@ describe("Vocabulary", () => { }); }); - describe("add", () => { - test("should throw an error if terms is not a string, array or set", () => { + describe('add', () => { + test('should throw an error if terms is not a string, array or set', () => { const vocabulary = new Vocabulary(); // @ts-expect-error Error check expect(() => vocabulary.add({})).toThrow(Error); }); - test("should add a term to the vocabulary from a string", () => { + test('should add a term to the vocabulary from a string', () => { const vocabulary = new Vocabulary(); - vocabulary.add("test"); + vocabulary.add('test'); - expect(Array.from(vocabulary.terms)).toStrictEqual(["test"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['test']); }); - test("should add terms to the vocabulary from an array", () => { + test('should add terms to the vocabulary from an array', () => { const vocabulary = new Vocabulary(); - vocabulary.add(["hello", "world"]); + vocabulary.add(['hello', 'world']); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello', 'world']); }); - test("should add terms to the vocabulary from a set", () => { + test('should add terms to the vocabulary from a set', () => { const vocabulary = new Vocabulary(); - vocabulary.add(new Set(["hello", "world"])); + vocabulary.add(new Set(['hello', 'world'])); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello", "world"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello', 'world']); }); - test("should return vocabulary instance", () => { + test('should return vocabulary instance', () => { const vocabulary = new Vocabulary(); - expect(vocabulary.add("test")).toBeInstanceOf(Vocabulary); + expect(vocabulary.add('test')).toBeInstanceOf(Vocabulary); }); }); - describe("remove", () => { - test("should throw an error if terms is not a string, array or set", () => { + describe('remove', () => { + test('should throw an error if terms is not a string, array or set', () => { const vocabulary = new Vocabulary(); // @ts-expect-error Error check expect(() => vocabulary.remove({})).toThrow(Error); }); - test("should remove a term to the vocabulary when called with a string", () => { - const vocabulary = new Vocabulary(["test"]); + test('should remove a term to the vocabulary when called with a string', () => { + const vocabulary = new Vocabulary(['test']); - vocabulary.remove("test"); + vocabulary.remove('test'); expect(Array.from(vocabulary.terms)).toStrictEqual([]); }); - test("should remove terms from the vocabulary when called with an array", () => { - const vocabulary = new Vocabulary(["hello", "world"]); + test('should remove terms from the vocabulary when called with an array', () => { + const vocabulary = new Vocabulary(['hello', 'world']); - vocabulary.remove(["world"]); + vocabulary.remove(['world']); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']); }); - test("should remove terms from the vocabulary when called with a set", () => { - const vocabulary = new Vocabulary(["hello", "world"]); + test('should remove terms from the vocabulary when called with a set', () => { + const vocabulary = new Vocabulary(['hello', 'world']); - vocabulary.remove(new Set(["world"])); + vocabulary.remove(new Set(['world'])); - expect(Array.from(vocabulary.terms)).toStrictEqual(["hello"]); + expect(Array.from(vocabulary.terms)).toStrictEqual(['hello']); }); - test("should return a vocabulary instance", () => { - const vocabulary = new Vocabulary(["test"]); + test('should return a vocabulary instance', () => { + const vocabulary = new Vocabulary(['test']); - expect(vocabulary.remove("test")).toBeInstanceOf(Vocabulary); + expect(vocabulary.remove('test')).toBeInstanceOf(Vocabulary); }); }); - describe("has", () => { - test("should return a boolean", () => { + describe('has', () => { + test('should return a boolean', () => { const vocabulary = new Vocabulary(); - expect(typeof vocabulary.has("test")).toStrictEqual("boolean"); + expect(typeof vocabulary.has('test')).toStrictEqual('boolean'); }); - test("should return whether a term exists in the vocabulary", () => { - const vocabulary = new Vocabulary(["test"]); + test('should return whether a term exists in the vocabulary', () => { + const vocabulary = new Vocabulary(['test']); - expect(vocabulary.has("test")).toStrictEqual(true); + expect(vocabulary.has('test')).toStrictEqual(true); }); }); - describe("indexOf", () => { - test("should return the index of an existing vocabulary term", () => { - const vocabulary = new Vocabulary(["test"]); + describe('indexOf', () => { + test('should return the index of an existing vocabulary term', () => { + const vocabulary = new Vocabulary(['test']); - expect(vocabulary.indexOf("test")).toStrictEqual(0); + expect(vocabulary.indexOf('test')).toStrictEqual(0); }); - test("should return -1 for non-existing vocabulary terms", () => { + test('should return -1 for non-existing vocabulary terms', () => { const vocabulary = new Vocabulary(); - expect(vocabulary.indexOf("test")).toStrictEqual(-1); + expect(vocabulary.indexOf('test')).toStrictEqual(-1); }); }); }); From 7422ce3e28554872ab855fd618f4acf39db08e1f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Sun, 21 Apr 2024 07:44:21 +0200 Subject: [PATCH 15/16] Added demote and forget methods. --- src/Classifier.ts | 46 +++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 45 insertions(+), 1 deletion(-) diff --git a/src/Classifier.ts b/src/Classifier.ts index 5c05dae..f1d9695 100644 --- a/src/Classifier.ts +++ b/src/Classifier.ts @@ -43,6 +43,43 @@ export class Classifier { * @return {this} */ train(input: string | string[], label: string): this { + return this._update(input, label, 'increase'); + } + + /** + * Make the current model put less weight to an input string (or array of strings) and a corresponding label + * + * @param {(string|string[])} input - String, or an array of strings + * @param {string} label - Corresponding label + * @return {this} + */ + demote(input: string | string[], label: string): this { + return this._update(input, label, 'decrease'); + } + + /** + * Make the current model forget an input string (or array of strings) and its corresponding label + * + * @param {(string|string[])} input - String, or an array of strings + * @param {string} label - Corresponding label + * @return {this} + */ + forget(input: string | string[], label: string): this { + return this._update(input, label, 'remove'); + } + + /** + * Train the current model using an input string (or array of strings) and a corresponding label + * + * @param {(string|string[])} input - String, or an array of strings + * @param {string} label - Corresponding label + * @return {this} + */ + private _update( + input: string | string[], + label: string, + type: 'increase' | 'decrease' | 'remove', + ): this { if (typeof input !== 'string' && !Array.isArray(input)) { throw new Error('input must be either a string or Array'); } @@ -82,12 +119,19 @@ export class Classifier { const occurrences = tokens[index]; if ( + type === 'remove' || !Object.prototype.hasOwnProperty.call(this._model.data[label], index) ) { this._model.data[label][index] = 0; } - this._model.data[label][index] += occurrences; + if (type !== 'remove') { + this._model.data[label][index] = Math.max( + this._model.data[label][index] + + (type === 'increase' ? occurrences : -occurrences), + 0, + ); + } } } From 7217ae95d597b8b017833a712d3d5fbaa4ace98e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20S=C3=B6derlund?= Date: Sun, 21 Apr 2024 07:44:30 +0200 Subject: [PATCH 16/16] Package updates --- .vscode/settings.json | 5 +- package.json | 4 +- pnpm-lock.yaml | 158 +++++++++++++++++++++++------------------- 3 files changed, 94 insertions(+), 73 deletions(-) diff --git a/.vscode/settings.json b/.vscode/settings.json index 098568d..41368f0 100755 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,5 +1,8 @@ { "editor.formatOnSave": true, "files.insertFinalNewline": true, - "editor.defaultFormatter": "biomejs.biome" + "editor.defaultFormatter": "biomejs.biome", + "[typescript]": { + "editor.defaultFormatter": "biomejs.biome" + } } diff --git a/package.json b/package.json index 46322d0..87fcee0 100644 --- a/package.json +++ b/package.json @@ -56,8 +56,8 @@ "homepage": "https://github.com/andreekeberg/ml-classify-text-js", "devDependencies": { "@biomejs/biome": "1.6.3", - "jsdoc": "^4.0.0", - "jsdoc-to-markdown": "^8.0.0", + "jsdoc": "^4.0.2", + "jsdoc-to-markdown": "^8.0.1", "tsup": "^8.0.2", "typescript": "^5.4.3", "vitest": "^1.4.0" diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index fd24552..21e1840 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -14,10 +14,10 @@ devDependencies: specifier: 1.6.3 version: 1.6.3 jsdoc: - specifier: ^4.0.0 + specifier: ^4.0.2 version: 4.0.2 jsdoc-to-markdown: - specifier: ^8.0.0 + specifier: ^8.0.1 version: 8.0.1 tsup: specifier: ^8.0.2 @@ -41,16 +41,16 @@ packages: engines: {node: '>=6.9.0'} dev: true - /@babel/parser@7.24.1: - resolution: {integrity: sha512-Zo9c7N3xdOIQrNip7Lc9wvRPzlRtovHVE4lkz8WEDr7uYh/GMQhSiIgFxGIArRHYdJE5kxtZjAf8rT0xhdLCzg==} + /@babel/parser@7.24.4: + resolution: {integrity: sha512-zTvEBcghmeBma9QIGunWevvBAp4/Qu9Bdq+2k0Ot4fVMD6v3dsC9WOcRSKk7tRRyBM/53yKMJko9xOatGQAwSg==} engines: {node: '>=6.0.0'} hasBin: true dependencies: '@babel/types': 7.24.0 dev: true - /@babel/runtime-corejs3@7.24.1: - resolution: {integrity: sha512-T9ko/35G+Bkl+win48GduaPlhSlOjjE5s1TeiEcD+QpxlLQnoEfb/nO/T+TQqkm+ipFwORn+rB8w14iJ/uD0bg==} + /@babel/runtime-corejs3@7.24.4: + resolution: {integrity: sha512-VOQOexSilscN24VEY810G/PqtpFvx/z6UqDIjIWbDe2368HhDLkYN5TYwaEz/+eRCUkhJ2WaNLLmQAlxzfWj4w==} engines: {node: '>=6.9.0'} dependencies: core-js-pure: 3.36.1 @@ -652,104 +652,120 @@ packages: dev: true optional: true - 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