From c90f8889ed61d537fc976c381adc18248589689e Mon Sep 17 00:00:00 2001 From: Erik Nordin Date: Tue, 7 Nov 2023 01:34:02 +0000 Subject: [PATCH] Bug 1861516 - Remove Translations fastText third-party files r=sylvestre,gregtatum Removes all third-party files related to fastText since it is no longer used in this code base. Differential Revision: https://phabricator.services.mozilla.com/D192659 --- .prettierignore | 2 - .../components/translations/fasttext/LICENSE | 21 - .../translations/fasttext/fasttext.js | 536 ------------------ .../translations/fasttext/fasttext_wasm.js | 8 - .../components/translations/fasttext/moz.yaml | 44 -- toolkit/components/translations/jar.mn | 2 - toolkit/content/license.html | 2 - tools/rewriting/ThirdPartyPaths.txt | 2 - 8 files changed, 617 deletions(-) delete mode 100644 toolkit/components/translations/fasttext/LICENSE delete mode 100644 toolkit/components/translations/fasttext/fasttext.js delete mode 100644 toolkit/components/translations/fasttext/fasttext_wasm.js delete mode 100644 toolkit/components/translations/fasttext/moz.yaml diff --git a/.prettierignore b/.prettierignore index 9edd508e57bf..07265bd95491 100644 --- a/.prettierignore +++ b/.prettierignore @@ -1424,8 +1424,6 @@ toolkit/components/passwordmgr/PasswordRulesParser.sys.mjs toolkit/components/protobuf/ toolkit/components/translation/cld2/ toolkit/components/translations/bergamot-translator -toolkit/components/translations/fasttext/fasttext.js -toolkit/components/translations/fasttext/fasttext_wasm.js toolkit/components/url-classifier/chromium/ toolkit/components/utils/mozjexl.js toolkit/components/viaduct/fetch_msg_types.pb.cc diff --git a/toolkit/components/translations/fasttext/LICENSE b/toolkit/components/translations/fasttext/LICENSE deleted file mode 100644 index 5a14f2864aa9..000000000000 --- a/toolkit/components/translations/fasttext/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2016-present, Facebook, Inc. - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/toolkit/components/translations/fasttext/fasttext.js b/toolkit/components/translations/fasttext/fasttext.js deleted file mode 100644 index a79dfeffa010..000000000000 --- a/toolkit/components/translations/fasttext/fasttext.js +++ /dev/null @@ -1,536 +0,0 @@ -/** - * Copyright (c) 2016-present, Facebook, Inc. - * All rights reserved. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ - -let fastTextModule; - -const _initFastTextModule = async function (wasmModule) { - try { - fastTextModule = await loadFastTextModule(wasmModule); - } catch(e) { - console.error(e); - } - return true -} - -let postRunFunc = null; -const addOnPostRun = function (func) { - postRunFunc = func; -}; - - -const loadFastText = (wasmModule) => { - _initFastTextModule(wasmModule).then((res) => { - if (postRunFunc) { - postRunFunc(); - } - }) -} -const thisModule = this; -const trainFileInWasmFs = 'train.txt'; -const testFileInWasmFs = 'test.txt'; -const modelFileInWasmFs = 'model.bin'; - -const getFloat32ArrayFromHeap = (len) => { - const dataBytes = len * Float32Array.BYTES_PER_ELEMENT; - const dataPtr = fastTextModule._malloc(dataBytes); - const dataHeap = new Uint8Array(fastTextModule.HEAPU8.buffer, - dataPtr, - dataBytes); - return { - 'ptr':dataHeap.byteOffset, - 'size':len, - 'buffer':dataHeap.buffer - }; -}; - -const heapToFloat32 = (r) => new Float32Array(r.buffer, r.ptr, r.size); - -class FastText { - constructor(fastTextModule) { - this.f = new fastTextModule.FastText(); - } - - /** - * loadModel - * - * Loads the model file from the specified url, and returns the - * corresponding `FastTextModel` object. - * - * @param {string} url - * the url of the model file. - * - * @return {Promise} promise object that resolves to a `FastTextModel` - * - */ - loadModel(url) { - const fetchFunc = (thisModule && thisModule.fetch) || fetch; - - const fastTextNative = this.f; - return new Promise(function(resolve, reject) { - fetchFunc(url).then(response => { - return response.arrayBuffer(); - }).then(bytes => { - const byteArray = new Uint8Array(bytes); - const FS = fastTextModule.FS; - FS.writeFile(modelFileInWasmFs, byteArray); - }).then(() => { - fastTextNative.loadModel(modelFileInWasmFs); - resolve(new FastTextModel(fastTextNative)); - }).catch(error => { - reject(error); - }); - }); - } - - loadModelBinary(buffer) { - const fastTextNative = this.f; - const byteArray = new Uint8Array(buffer); - const FS = fastTextModule.FS; - FS.writeFile(modelFileInWasmFs, byteArray); - fastTextNative.loadModel(modelFileInWasmFs); - return new FastTextModel(fastTextNative); - } - - _train(url, modelName, kwargs = {}, callback = null) { - const fetchFunc = (thisModule && thisModule.fetch) || fetch; - const fastTextNative = this.f; - - return new Promise(function(resolve, reject) { - fetchFunc(url).then(response => { - return response.arrayBuffer(); - }).then(bytes => { - const byteArray = new Uint8Array(bytes); - const FS = fastTextModule.FS; - FS.writeFile(trainFileInWasmFs, byteArray); - }).then(() => { - const argsList = ['lr', 'lrUpdateRate', 'dim', 'ws', 'epoch', - 'minCount', 'minCountLabel', 'neg', 'wordNgrams', 'loss', - 'model', 'bucket', 'minn', 'maxn', 't', 'label', 'verbose', - 'pretrainedVectors', 'saveOutput', 'seed', 'qout', 'retrain', - 'qnorm', 'cutoff', 'dsub', 'qnorm', 'autotuneValidationFile', - 'autotuneMetric', 'autotunePredictions', 'autotuneDuration', - 'autotuneModelSize']; - const args = new fastTextModule.Args(); - argsList.forEach(k => { - if (k in kwargs) { - args[k] = kwargs[k]; - } - }); - args.model = fastTextModule.ModelName[modelName]; - args.loss = ('loss' in kwargs) ? - fastTextModule.LossName[kwargs['loss']] : 'hs'; - args.thread = 1; - args.input = trainFileInWasmFs; - - fastTextNative.train(args, callback); - - resolve(new FastTextModel(fastTextNative)); - }).catch(error => { - reject(error); - }); - }); - } - - /** - * trainSupervised - * - * Downloads the input file from the specified url, trains a supervised - * model and returns a `FastTextModel` object. - * - * @param {string} url - * the url of the input file. - * The input file must must contain at least one label per line. For an - * example consult the example datasets which are part of the fastText - * repository such as the dataset pulled by classification-example.sh. - * - * @param {dict} kwargs - * train parameters. - * For example {'lr': 0.5, 'epoch': 5} - * - * @param {function} callback - * train callback function - * `callback` function is called regularly from the train loop: - * `callback(progress, loss, wordsPerSec, learningRate, eta)` - * - * @return {Promise} promise object that resolves to a `FastTextModel` - * - */ - trainSupervised(url, kwargs = {}, callback) { - const self = this; - return new Promise(function(resolve, reject) { - self._train(url, 'supervised', kwargs, callback).then(model => { - resolve(model); - }).catch(error => { - reject(error); - }); - }); - } - - /** - * trainUnsupervised - * - * Downloads the input file from the specified url, trains an unsupervised - * model and returns a `FastTextModel` object. - * - * @param {string} url - * the url of the input file. - * The input file must not contain any labels or use the specified label - * prefixunless it is ok for those words to be ignored. For an example - * consult the dataset pulled by the example script word-vector-example.sh - * which is part of the fastText repository. - * - * @param {string} modelName - * Model to be used for unsupervised learning. `cbow` or `skipgram`. - * - * @param {dict} kwargs - * train parameters. - * For example {'lr': 0.5, 'epoch': 5} - * - * @param {function} callback - * train callback function - * `callback` function is called regularly from the train loop: - * `callback(progress, loss, wordsPerSec, learningRate, eta)` - * - * @return {Promise} promise object that resolves to a `FastTextModel` - * - */ - trainUnsupervised(url, modelName, kwargs = {}, callback) { - const self = this; - return new Promise(function(resolve, reject) { - self._train(url, modelName, kwargs, callback).then(model => { - resolve(model); - }).catch(error => { - reject(error); - }); - }); - } - -} - - -class FastTextModel { - /** - * `FastTextModel` represents a trained model. - * - * @constructor - * - * @param {object} fastTextNative - * webassembly object that makes the bridge between js and C++ - */ - constructor(fastTextNative) { - this.f = fastTextNative; - } - - /** - * isQuant - * - * @return {bool} true if the model is quantized - * - */ - isQuant() { - return this.f.isQuant; - } - - /** - * getDimension - * - * @return {int} the dimension (size) of a lookup vector (hidden layer) - * - */ - getDimension() { - return this.f.args.dim; - } - - /** - * getWordVector - * - * @param {string} word - * - * @return {Float32Array} the vector representation of `word`. - * - */ - getWordVector(word) { - const b = getFloat32ArrayFromHeap(this.getDimension()); - this.f.getWordVector(b, word); - - return heapToFloat32(b); - } - - /** - * getSentenceVector - * - * @param {string} text - * - * @return {Float32Array} the vector representation of `text`. - * - */ - getSentenceVector(text) { - if (text.indexOf('\n') != -1) { - "sentence vector processes one line at a time (remove '\\n')"; - } - text += '\n'; - const b = getFloat32ArrayFromHeap(this.getDimension()); - this.f.getSentenceVector(b, text); - - return heapToFloat32(b); - } - - /** - * getNearestNeighbors - * - * returns the nearest `k` neighbors of `word`. - * - * @param {string} word - * @param {int} k - * - * @return {Array.>} - * words and their corresponding cosine similarities. - * - */ - getNearestNeighbors(word, k = 10) { - return this.f.getNN(word, k); - } - - /** - * getAnalogies - * - * returns the nearest `k` neighbors of the operation - * `wordA - wordB + wordC`. - * - * @param {string} wordA - * @param {string} wordB - * @param {string} wordC - * @param {int} k - * - * @return {Array.>} - * words and their corresponding cosine similarities - * - */ - getAnalogies(wordA, wordB, wordC, k) { - return this.f.getAnalogies(k, wordA, wordB, wordC); - } - - /** - * getWordId - * - * Given a word, get the word id within the dictionary. - * Returns -1 if word is not in the dictionary. - * - * @return {int} word id - * - */ - getWordId(word) { - return this.f.getWordId(word); - } - - /** - * getSubwordId - * - * Given a subword, return the index (within input matrix) it hashes to. - * - * @return {int} subword id - * - */ - getSubwordId(subword) { - return this.f.getSubwordId(subword); - } - - /** - * getSubwords - * - * returns the subwords and their indicies. - * - * @param {string} word - * - * @return {Pair., Array.>} - * words and their corresponding indicies - * - */ - getSubwords(word) { - return this.f.getSubwords(word); - } - - /** - * getInputVector - * - * Given an index, get the corresponding vector of the Input Matrix. - * - * @param {int} ind - * - * @return {Float32Array} the vector of the `ind`'th index - * - */ - getInputVector(ind) { - const b = getFloat32ArrayFromHeap(this.getDimension()); - this.f.getInputVector(b, ind); - - return heapToFloat32(b); - } - - /** - * predict - * - * Given a string, get a list of labels and a list of corresponding - * probabilities. k controls the number of returned labels. - * - * @param {string} text - * @param {int} k, the number of predictions to be returned - * @param {number} probability threshold - * - * @return {Array.>} - * labels and their probabilities - * - */ - predict(text, k = 1, threshold = 0.0) { - return this.f.predict(text, k, threshold); - } - - /** - * getInputMatrix - * - * Get a reference to the full input matrix of a Model. This only - * works if the model is not quantized. - * - * @return {DenseMatrix} - * densematrix with functions: `rows`, `cols`, `at(i,j)` - * - * example: - * let inputMatrix = model.getInputMatrix(); - * let value = inputMatrix.at(1, 2); - */ - getInputMatrix() { - if (this.isQuant()) { - throw new Error("Can't get quantized Matrix"); - } - return this.f.getInputMatrix(); - } - - /** - * getOutputMatrix - * - * Get a reference to the full input matrix of a Model. This only - * works if the model is not quantized. - * - * @return {DenseMatrix} - * densematrix with functions: `rows`, `cols`, `at(i,j)` - * - * example: - * let outputMatrix = model.getOutputMatrix(); - * let value = outputMatrix.at(1, 2); - */ - getOutputMatrix() { - if (this.isQuant()) { - throw new Error("Can't get quantized Matrix"); - } - return this.f.getOutputMatrix(); - } - - /** - * getWords - * - * Get the entire list of words of the dictionary including the frequency - * of the individual words. This does not include any subwords. For that - * please consult the function get_subwords. - * - * @return {Pair., Array.>} - * words and their corresponding frequencies - * - */ - getWords() { - return this.f.getWords(); - } - - /** - * getLabels - * - * Get the entire list of labels of the dictionary including the frequency - * of the individual labels. - * - * @return {Pair., Array.>} - * labels and their corresponding frequencies - * - */ - getLabels() { - return this.f.getLabels(); - } - - /** - * getLine - * - * Split a line of text into words and labels. Labels must start with - * the prefix used to create the model (__label__ by default). - * - * @param {string} text - * - * @return {Pair., Array.>} - * words and labels - * - */ - getLine(text) { - return this.f.getLine(text); - } - - /** - * saveModel - * - * Saves the model file in web assembly in-memory FS and returns a blob - * - * @return {Blob} blob data of the file saved in web assembly FS - * - */ - saveModel() { - this.f.saveModel(modelFileInWasmFs); - const content = fastTextModule.FS.readFile(modelFileInWasmFs, - { encoding: 'binary' }); - return new Blob( - [new Uint8Array(content, content.byteOffset, content.length)], - { type: ' application/octet-stream' } - ); - } - - /** - * test - * - * Downloads the test file from the specified url, evaluates the supervised - * model with it. - * - * @param {string} url - * @param {int} k, the number of predictions to be returned - * @param {number} probability threshold - * - * @return {Promise} promise object that resolves to a `Meter` object - * - * example: - * model.test("/absolute/url/to/test.txt", 1, 0.0).then((meter) => { - * console.log(meter.precision); - * console.log(meter.recall); - * console.log(meter.f1Score); - * console.log(meter.nexamples()); - * }); - * - */ - test(url, k, threshold) { - const fetchFunc = (thisModule && thisModule.fetch) || fetch; - const fastTextNative = this.f; - - return new Promise(function(resolve, reject) { - fetchFunc(url).then(response => { - return response.arrayBuffer(); - }).then(bytes => { - const byteArray = new Uint8Array(bytes); - const FS = fastTextModule.FS; - FS.writeFile(testFileInWasmFs, byteArray); - }).then(() => { - const meter = fastTextNative.test(testFileInWasmFs, k, threshold); - resolve(meter); - }).catch(error => { - reject(error); - }); - }); - } -} diff --git a/toolkit/components/translations/fasttext/fasttext_wasm.js b/toolkit/components/translations/fasttext/fasttext_wasm.js deleted file mode 100644 index 84d05459a3e6..000000000000 --- a/toolkit/components/translations/fasttext/fasttext_wasm.js +++ /dev/null @@ -1,8 +0,0 @@ -/** - * Copyright (c) 2016-present, Facebook, Inc. - * All rights reserved. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ -async function loadFastTextModule(aJ={}){var b_=null,b=typeof aJ!='undefined'?aJ:{},bV,aA,bT,e$,bR,e_,aO,R,N,eZ,A,aQ,an,aR,eV,Z,r,gz,gy,gx,gw,ae,eS,af,aD,eR,gv,q,v,C,ah,h,l,au,aF,aE,bz,by,gu,bv,aZ,eC,Q,O,ad,W,bi,K,k,s,aw,bG,J,am,y,cG,cF,o,H,G,j,cp,aS,a,t,ap,Y,P,ax,cg,ce,bZ,aI,bU,T,aU,bt,ak,ac,aa,bw,x,S,bq,dU,bb,a$,bm,bo,bp,av,az,eE,bH,gg,gf,ge,eM,bJ,eO,gd,eQ,bK,B,e,al,bM,eW,eX,aP,f,g,b$,fa,fb,fc,fd,fe,ff,fg,fh,fi,fj,fk,fl,fm,fn,fo,gc,fq,fr,ft,gb,gA,eN,eT,ay;if(b.ready=new Promise(function(a,b){bV=a,aA=b}),["_main","getExceptionMessage","___get_exception_message","_free","___getTypeName","__embind_initialize_bindings","_fflush","onRuntimeInitialized"].forEach(a=>{Object.getOwnPropertyDescriptor(b.ready,a)||Object.defineProperty(b.ready,a,{get:()=>p('You are getting '+a+' on the Promise object, instead of the instance. 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JavaScript emscripten worker to run fastText - - # Full URL for the package's homepage/etc - # Usually different from repository url - url: https://github.com/facebookresearch/fastText - - # Human-readable identifier for this version/release - # Generally "version NNN", "tag SSS", "bookmark SSS" - release: v0.9.2 - - # Revision to pull in - # Must be a long or short commit SHA (long preferred) - revision: 3697152e0fd772d9185697fdbd4a1d340ca5571d - - # The package's license, where possible using the mnemonic from - # https://spdx.org/licenses/ - # Multiple licenses can be specified (as a YAML list) - # A "LICENSE" file must exist containing the full license text - license: MIT - - notes: > - This code was generated from the fastText repository on the following revision: - 3697152e0fd772d9185697fdbd4a1d340ca5571d - - https://github.com/facebookresearch/fastText - - There are detailed instructions in the Firefox Source Docs on how to build these - dependencies locally. - - https://firefox-source-docs.mozilla.org/toolkit/components/translations/resources/02_contributing.html#building-fasttext diff --git a/toolkit/components/translations/jar.mn b/toolkit/components/translations/jar.mn index 9f721a6e22e9..34f2773fcc69 100644 --- a/toolkit/components/translations/jar.mn +++ b/toolkit/components/translations/jar.mn @@ -4,8 +4,6 @@ toolkit.jar: content/global/translations/bergamot-translator.js (bergamot-translator/bergamot-translator.js) - content/global/translations/fasttext.js (fasttext/fasttext.js) - content/global/translations/fasttext_wasm.js (fasttext/fasttext_wasm.js) content/global/translations/simd-detect-worker.js (content/simd-detect-worker.js) content/global/translations/translations-document.sys.mjs (content/translations-document.sys.mjs) content/global/translations/translations-engine.html (content/translations-engine.html) diff --git a/toolkit/content/license.html b/toolkit/content/license.html index 9663397dd62e..a6dc1069f420 100644 --- a/toolkit/content/license.html +++ b/toolkit/content/license.html @@ -3657,8 +3657,6 @@ SOFTWARE.
  • third_party/js/cfworker/json-schema.js
  • security/nss/lib/freebl/ecl/ecp_secp384r1.c and security/nss/lib/freebl/ecl/ecp_secp521r1.c
    • -
  • toolkit/components/translations/fasttext/fasttext.js and - toolkit/components/translations/fasttext/fasttext_wasm.js
  • security/nss/lib/freebl/ecl/curve25519_32.c, security/nss/lib/freebl/ecl/ecp_secp384r1.c and security/nss/lib/freebl/ecl/ecp_secp521r1.c
    • diff --git a/tools/rewriting/ThirdPartyPaths.txt b/tools/rewriting/ThirdPartyPaths.txt index f00dc46fe831..79eaa0b0f627 100644 --- a/tools/rewriting/ThirdPartyPaths.txt +++ b/tools/rewriting/ThirdPartyPaths.txt @@ -180,8 +180,6 @@ toolkit/components/passwordmgr/PasswordRulesParser.sys.mjs toolkit/components/protobuf/ toolkit/components/translation/cld2/ toolkit/components/translations/bergamot-translator -toolkit/components/translations/fasttext/fasttext.js -toolkit/components/translations/fasttext/fasttext_wasm.js toolkit/components/url-classifier/chromium/ toolkit/components/utils/mozjexl.js toolkit/components/viaduct/fetch_msg_types.pb.cc