Overview
Comment: | [graphspell] ibdawg: performance improvements [fr] tests [fx] tests |
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Downloads: | Tarball | ZIP archive | SQL archive |
Timelines: | family | ancestors | descendants | both | trunk | fr | fx | graphspell |
Files: | files | file ages | folders |
SHA3-256: |
fb9b86e9e88e9d8d1e8b3ea816cb5321 |
User & Date: | olr on 2020-09-16 06:09:45 |
Other Links: | manifest | tags |
Context
2020-09-16
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08:04 | [fr] ajustements check-in: 00ed7d0ed7 user: olr tags: trunk, fr | |
06:09 | [graphspell] ibdawg: performance improvements [fr] tests [fx] tests check-in: fb9b86e9e8 user: olr tags: trunk, fr, fx, graphspell | |
2020-09-15
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17:04 | [fr] update suggest tests Closed-Leaf check-in: a8c66433af user: olr tags: fr, bdic_opt | |
2020-09-14
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07:55 | [fr] ajustements check-in: cd8c458e7b user: olr tags: trunk, fr | |
Changes
Modified gc_lang/fr/modules/tests_modules.py from [1156e862bc] to [420f61228e].
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18 19 20 21 22 23 24 | def timeblock (label, hDst=None): "performance counter (contextmanager)" start = time.perf_counter() try: yield finally: end = time.perf_counter() | | | 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | def timeblock (label, hDst=None): "performance counter (contextmanager)" start = time.perf_counter() try: yield finally: end = time.perf_counter() print('{:<20} : {}'.format(label, end - start)) if hDst: hDst.write("{:<12.6}".format(end-start)) class TestDictionary (unittest.TestCase): "Test du correcteur orthographique" |
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47 48 49 50 51 52 53 | self.assertTrue(self.oDic.isValid(sWord), sWord) def test_isvalid_failed (self): for sWord in ["BranchE", "BRanche", "BRAnCHE", "émilie", "éMILIE", "émiLie"]: self.assertFalse(self.oDic.isValid(sWord), sWord) def test_suggest (self): | > | > > > | > | 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | self.assertTrue(self.oDic.isValid(sWord), sWord) def test_isvalid_failed (self): for sWord in ["BranchE", "BRanche", "BRAnCHE", "émilie", "éMILIE", "émiLie"]: self.assertFalse(self.oDic.isValid(sWord), sWord) def test_suggest (self): for sWord in [ "déelirranttesss", "vallidasion", "Emilie", "exibission", "ditirembique", "jai", "email", "fatiqué", "coeur", "trèèèèèèèèès", "vraaaaiiiimeeeeennnt", "apele", "email", "Co2", "emmppâiiiller", "testt", "apelaion", "exsepttion", "sintaxik", "ebriete", "ennormmement" ]: with timeblock(sWord): aSugg = self.oDic.suggest(sWord) print(sWord, "->", " ".join(aSugg)) class TestConjugation (unittest.TestCase): "Tests des conjugaisons" @classmethod def setUpClass (cls): |
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Modified gc_lang/fr/perf_memo.text from [6a0d81df00] to [ad156793c1].
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26 27 28 29 30 31 32 | 0.6.2 2018.02.19 19:06 5.51302 1.29359 0.874157 0.260415 0.271596 0.290641 0.684754 0.376905 0.0815201 0.00919633 (spelling normalization) 1.0 2018.11.23 10:59 2.88577 0.702486 0.485648 0.139897 0.14079 0.148125 0.348751 0.201061 0.0360297 0.0043535 (x2, with new GC engine) 1.1 2019.05.16 09:42 1.50743 0.360923 0.261113 0.0749272 0.0763827 0.0771537 0.180504 0.102942 0.0182762 0.0021925 (×2, but new processor: AMD Ryzen 7 2700X) 1.2.1 2019.08.06 20:57 1.42886 0.358425 0.247356 0.0704405 0.0754886 0.0765604 0.177197 0.0988517 0.0188103 0.0020243 1.6.0 2020.01.03 20:22 1.38847 0.346214 0.240242 0.0709539 0.0737499 0.0748733 0.176477 0.0969171 0.0187857 0.0025143 (nouveau dictionnaire avec lemmes masculins) 1.9.0 2020.04.20 19:57 1.51183 0.369546 0.25681 0.0734314 0.0764396 0.0785668 0.183922 0.103674 0.0185812 0.002099 (NFC normalization) 1.9.2 2020.05.12 08:43 1.62465 0.398831 0.273012 0.0810811 0.080937 0.0845885 0.204133 0.114146 0.0212864 0.0029547 | | | > | 26 27 28 29 30 31 32 33 34 35 | 0.6.2 2018.02.19 19:06 5.51302 1.29359 0.874157 0.260415 0.271596 0.290641 0.684754 0.376905 0.0815201 0.00919633 (spelling normalization) 1.0 2018.11.23 10:59 2.88577 0.702486 0.485648 0.139897 0.14079 0.148125 0.348751 0.201061 0.0360297 0.0043535 (x2, with new GC engine) 1.1 2019.05.16 09:42 1.50743 0.360923 0.261113 0.0749272 0.0763827 0.0771537 0.180504 0.102942 0.0182762 0.0021925 (×2, but new processor: AMD Ryzen 7 2700X) 1.2.1 2019.08.06 20:57 1.42886 0.358425 0.247356 0.0704405 0.0754886 0.0765604 0.177197 0.0988517 0.0188103 0.0020243 1.6.0 2020.01.03 20:22 1.38847 0.346214 0.240242 0.0709539 0.0737499 0.0748733 0.176477 0.0969171 0.0187857 0.0025143 (nouveau dictionnaire avec lemmes masculins) 1.9.0 2020.04.20 19:57 1.51183 0.369546 0.25681 0.0734314 0.0764396 0.0785668 0.183922 0.103674 0.0185812 0.002099 (NFC normalization) 1.9.2 2020.05.12 08:43 1.62465 0.398831 0.273012 0.0810811 0.080937 0.0845885 0.204133 0.114146 0.0212864 0.0029547 1.12.2 2020.09.09 13:34 1.50568 0.374504 0.233108 0.0798712 0.0804466 0.0769674 0.171519 0.0945132 0.0165344 0.0019474 1.12.2 2020.09.09 13:35 1.41094 0.359093 0.236443 0.06968 0.0734418 0.0738087 0.169371 0.0946279 0.0167106 0.0019773 1.12.2 2020.09.11 19:16 1.35297 0.330545 0.221731 0.0666998 0.0692539 0.0701707 0.160564 0.0891676 0.015807 0.0045998 |
Modified gc_lang/fr/webext/gce_worker.js from [c94d68b34b] to [2672ecfd48].
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288 289 290 291 292 293 294 | function resetOptions (oInfo={}) { gc_engine.resetOptions(); let dOptions = helpers.mapToObject(gc_engine.getOptions()); postMessage(createResponse("resetOptions", dOptions, oInfo, true)); } function tests () { | | > > > > > > > > > | 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 | function resetOptions (oInfo={}) { gc_engine.resetOptions(); let dOptions = helpers.mapToObject(gc_engine.getOptions()); postMessage(createResponse("resetOptions", dOptions, oInfo, true)); } function tests () { /*console.log(conj.getConj("devenir", ":E", ":2s")); console.log(mfsp.getMasForm("emmerdeuse", true)); console.log(mfsp.getMasForm("pointilleuse", false)); console.log(phonet.getSimil("est")); let aRes = gc_engine.parse("Je suit..."); for (let oErr of aRes) { console.log(text.getReadableError(oErr)); }*/ for (let sWord of ["fatiqué", "coeur", "trèèèèèèèèès", "vraaaaiiiimeeeeennnt", "apele", "email", "Co2", "emmppâiiiller", "testt", "apelaion", "exsepttion", "sintaxik", "ebriete", "ennormmement"]) { console.time("Suggestions for " + sWord); for (let aSugg of oSpellChecker.suggest(sWord)) { if (aSugg.length) { console.log(sWord + " -> ", aSugg.join(" ")); } } console.timeEnd("Suggestions for " + sWord); } } function textToTest (sText, sCountry, bDebug, bContext, oInfo={}) { if (!gc_engine) { postMessage(createResponse("textToTest", "# Grammar checker not loaded.", oInfo, true)); return; |
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Modified graphspell-js/char_player.js from [0602ec129b] to [dab3d08473].
1 2 3 4 5 6 7 8 9 10 | // list of similar chars // useful for suggestion mechanism /* jshint esversion:6 */ /* jslint esversion:6 */ ${map} var char_player = { | | > > > > | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | // list of similar chars // useful for suggestion mechanism /* jshint esversion:6 */ /* jslint esversion:6 */ ${map} var char_player = { /* oDistanceBetweenChars: - with Jaro-Winkler, values between 1 and 10 - with Damerau-Levenshtein, values / 10 (between 0 and 1: 0.1, 0.2 ... 0.9) */ oDistanceBetweenChars: { //"a": {}, "e": {"é": 5}, //"é": {"e": 5}, "i": {"y": 2}, //"o": {}, //"u": {}, "y": {"i": 3}, "b": {"d": 8, "h": 9}, "c": {"ç": 1, "k": 5, "q": 5, "s": 5, "x": 5, "z": 8}, "d": {"b": 8}, "f": {"v": 8}, "g": {"j": 5}, "h": {"b": 9}, "j": {"g": 5, "i": 9}, "k": {"c": 5, "q": 1, "x": 5}, "l": {"i": 9}, "m": {"n": 8}, "n": {"m": 8, "r": 9}, "p": {"q": 9}, "q": {"c": 5, "k": 1, "p": 9}, "r": {"n": 9, "j": 9}, "s": {"c": 5, "ç": 1, "x": 5, "z": 5}, "t": {"d": 9}, "v": {"f": 8, "w": 1}, "w": {"v": 1}, "x": {"c": 5, "k": 5, "q": 5, "s": 5}, "z": {"s": 5} }, distanceBetweenChars: function (c1, c2) { if (c1 == c2) { return 0; } if (this.oDistanceBetweenChars.hasOwnProperty(c1) && this.oDistanceBetweenChars[c1].hasOwnProperty(c2)) { |
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316 317 318 319 320 321 322 | ["UN", ["EIN",]], ]), // End of word dFinal1: new Map([ ["a", ["as", "at", "ant", "ah"]], ["A", ["AS", "AT", "ANT", "AH"]], | | | > > | 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 | ["UN", ["EIN",]], ]), // End of word dFinal1: new Map([ ["a", ["as", "at", "ant", "ah"]], ["A", ["AS", "AT", "ANT", "AH"]], ["c", ["ch", "que"]], ["C", ["CH", "QUE"]], ["e", ["et", "er", "ets", "ée", "ez", "ai", "ais", "ait", "ent", "eh"]], ["E", ["ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT", "ENT", "EH"]], ["é", ["et", "er", "ets", "ée", "ez", "ai", "ais", "ait"]], ["É", ["ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"]], ["è", ["et", "er", "ets", "ée", "ez", "ai", "ais", "ait"]], ["È", ["ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"]], ["ê", ["et", "er", "ets", "ée", "ez", "ai", "ais", "ait"]], ["Ê", ["ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"]], ["ë", ["et", "er", "ets", "ée", "ez", "ai", "ais", "ait"]], ["Ë", ["ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"]], ["g", ["gh",]], ["G", ["GH",]], ["i", ["is", "it", "ie", "in"]], ["I", ["IS", "IT", "IE", "IN"]], ["k", ["que"]], ["K", ["QUE"]], ["n", ["nt", "nd", "ns", "nh"]], ["N", ["NT", "ND", "NS", "NH"]], ["o", ["aut", "ot", "os"]], ["O", ["AUT", "OT", "OS"]], ["ô", ["aut", "ot", "os"]], ["Ô", ["AUT", "OT", "OS"]], ["ö", ["aut", "ot", "os"]], |
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Modified graphspell-js/ibdawg.js from [69d7490b82] to [fa91a09215].
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18 19 20 21 22 23 24 | var char_player = require("./char_player.js"); } class SuggResult { // Structure for storing, classifying and filtering suggestions | | > | | | > > > > > | < > | | | | > > | | | > > | < < > | | | | | > > > > > | > | | | < > > > | > > > | < > > > > > | > > > | < < > | | | > | 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 | var char_player = require("./char_player.js"); } class SuggResult { // Structure for storing, classifying and filtering suggestions constructor (sWord, nSuggLimit=10, nDistLimit=-1) { this.sWord = sWord; this.sSimplifiedWord = str_transform.simplifyWord(sWord); this.nDistLimit = (nDistLimit >= 0) ? nDistLimit : Math.floor(sWord.length / 3) + 1; this.nMinDist = 1000; // Temporary sets this.aAllSugg = new Set(); // All suggestions, even the one rejected this.dGoodSugg = new Map(); // Acceptable suggestions this.dBestSugg = new Map(); // Best suggestions // Parameters this.nSuggLimit = nSuggLimit; this.nSuggLimitExt = nSuggLimit + 2; // we add few entries in case suggestions merge after casing modifications this.nBestSuggLimit = Math.floor(nSuggLimit * 1.5); // n times the requested limit this.nGoodSuggLimit = nSuggLimit * 15; // n times the requested limit } addSugg (sSugg) { // add a suggestion if (this.aAllSugg.has(sSugg)) { return; } this.aAllSugg.add(sSugg); // jaro 0->1 1 les chaines sont égale let nDistJaro = 1 - str_transform.distanceJaroWinkler(this.sSimplifiedWord, str_transform.simplifyWord(sSugg)); let nDist = Math.floor(nDistJaro * 10); if (nDistJaro < .11) { // Best suggestions this.dBestSugg.set(sSugg, Math.round(nDistJaro*1000)); if (this.dBestSugg.size > this.nBestSuggLimit) { this.nDistLimit = -1; // make suggest() to end search } } else if (nDistJaro < .33) { // Good suggestions this.dGoodSugg.set(sSugg, Math.round(nDistJaro*1000)); if (this.dGoodSugg.size > this.nGoodSuggLimit) { this.nDistLimit = -1; // make suggest() to end search } } else { if (nDist < this.nMinDist) { this.nMinDist = nDist; } this.nDistLimit = Math.min(this.nDistLimit, this.nMinDist); } if (nDist <= this.nDistLimit) { if (nDist < this.nMinDist) { this.nMinDist = nDist; } this.nDistLimit = Math.min(this.nDistLimit, this.nMinDist+1); } } getSuggestions () { // return a list of suggestions let lRes = []; if (this.dBestSugg.size > 0) { // sort only with simplified words let lResTmp = [...this.dBestSugg.entries()].sort((a, b) => { return a[1] - b[1]; }); let nSize = Math.min(this.nSuggLimitExt, lResTmp.length); for (let i=0; i < nSize; i++){ lRes.push(lResTmp[i][0]); } } if (lRes.length < this.nSuggLimitExt) { // sort with simplified words and original word let lResTmp = [...this.dGoodSugg.entries()].sort((a, b) => { // Low precision to rely more on simplified words let nJaroA = Math.round(str_transform.distanceJaroWinkler(this.sWord, a[0]) * 10); let nJaroB = Math.round(str_transform.distanceJaroWinkler(this.sWord, b[0]) * 10); if (nJaroA == nJaroB) { return a[1] - b[1]; // warning: both lists are NOT sorted the same way (key: a-b) } else { return nJaroB - nJaroA; // warning: both lists are NOT sorted the same way (key: b-a) } }).slice(0, this.nSuggLimitExt); let nSize = Math.min(this.nSuggLimitExt, lResTmp.length); for (let i=0; i < nSize; i++){ lRes.push(lResTmp[i][0]); } } // casing if (this.sWord.gl_isUpperCase()) { lRes = lRes.map((sSugg) => { return sSugg.toUpperCase(); }); lRes = [...new Set(lRes)]; } else if (this.sWord.slice(0,1).gl_isUpperCase()) { lRes = lRes.map((sSugg) => { return sSugg.slice(0,1).toUpperCase() + sSugg.slice(1); }); lRes = [...new Set(lRes)]; } return lRes.slice(0, this.nSuggLimit); } reset () { this.dSugg.clear(); this.dGoodSugg.clear(); this.dBestSugg.clear(); } } class IBDAWG { // INDEXABLE BINARY DIRECT ACYCLIC WORD GRAPH |
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120 121 122 123 124 125 126 | } /* Properties: sName, nCompressionMethod, sHeader, lArcVal, nArcVal, sByDic, sLang, nChar, nBytesArc, nBytesNodeAddress, nEntry, nNode, nArc, nAff, cStemming, nTag, dChar, nBytesOffset, */ | < < < < < < < < < < < < < < > > > > > > > > > > > > | > | > > | > > | > > > > | < < | < > | > | < < < < | | | < < < < < < < < < < < < | < | 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 | } /* Properties: sName, nCompressionMethod, sHeader, lArcVal, nArcVal, sByDic, sLang, nChar, nBytesArc, nBytesNodeAddress, nEntry, nNode, nArc, nAff, cStemming, nTag, dChar, nBytesOffset, */ if (!(this.sHeader.startsWith("/grammalecte-fsa/") || this.sHeader.startsWith("/pyfsa/"))) { throw TypeError("# Error. Not a grammalecte-fsa binary dictionary. Header: " + this.sHeader); } if (!(this.nCompressionMethod == 1 || this.nCompressionMethod == 2 || this.nCompressionMethod == 3)) { throw RangeError("# Error. Unknown dictionary compression method: " + this.nCompressionMethod); } // <dChar> to get the value of an arc, <dCharVal> to get the char of an arc with its value this.dChar = helpers.objectToMap(this.dChar); this.dCharVal = this.dChar.gl_reverse(); this.a2grams = (this.l2grams) ? new Set(this.l2grams) : null; if (this.cStemming == "S") { this.funcStemming = str_transform.changeWordWithSuffixCode; } else if (this.cStemming == "A") { this.funcStemming = str_transform.changeWordWithAffixCode; } else { this.funcStemming = str_transform.noStemming; } /* Bug workaround. Mozilla’s JS parser sucks. Can’t read file bigger than 4 Mb! So we convert huge hexadecimal string to list of numbers… https://github.com/mozilla/addons-linter/issues/1361 */ /* Performance trick: Instead of converting bytes to integers each times we parse the binary dictionary, we do it once, then parse the array */ let nAcc = 0; let lBytesBuffer = []; let lTemp = []; let nDivisor = (this.nBytesArc + this.nBytesNodeAddress) / 2; for (let i = 0; i < this.sByDic.length; i+=2) { lBytesBuffer.push(parseInt(this.sByDic.slice(i, i+2), 16)); if (nAcc == (this.nBytesArc - 1)) { lTemp.push(this._convBytesToInteger(lBytesBuffer)); lBytesBuffer = []; } else if (nAcc == (this.nBytesArc + this.nBytesNodeAddress - 1)) { lTemp.push(Math.round(this._convBytesToInteger(lBytesBuffer) / nDivisor)); // Math.round should be useless, BUT with JS who knowns what can happen… lBytesBuffer = []; nAcc = -1; } nAcc = nAcc + 1; } this.byDic = lTemp; /* end of bug workaround */ this._arcMask = (2 ** ((this.nBytesArc * 8) - 3)) - 1; this._finalNodeMask = 1 << ((this.nBytesArc * 8) - 1); this._lastArcMask = 1 << ((this.nBytesArc * 8) - 2); //console.log(this.getInfo()); this.bAcronymValid = true; this.bNumAtLastValid = false; // lexicographer module ? this.lexicographer = null; // JS still sucks: we’ll try importation when importation will be available in Workers. Still waiting... if (self && self.hasOwnProperty("lexgraph_"+this.sLangCode)) { // self is the Worker this.lexicographer = self["lexgraph_"+this.sLangCode]; } } getInfo () { return ` Language: ${this.sLangName} Lang code: ${this.sLangCode} Dictionary name: ${this.sDicName}\n` + ` Compression method: ${this.nCompressionMethod} Date: ${this.sDate} Stemming: ${this.cStemming}FX\n` + ` Arcs values: ${this.nArcVal} = ${this.nChar} characters, ${this.nAff} affixes, ${this.nTag} tags\n` + ` Dictionary: ${this.nEntry} entries, ${this.nNode} nodes, ${this.nArc} arcs\n` + |
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304 305 306 307 308 309 310 | return false; } iAddr = this._lookupArcNode(this.dChar.get(c), iAddr); if (iAddr === null) { return false; } } | | | | | | > | | 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 | return false; } iAddr = this._lookupArcNode(this.dChar.get(c), iAddr); if (iAddr === null) { return false; } } return Boolean(this.byDic[iAddr] & this._finalNodeMask); } getMorph (sWord) { // retrieves morphologies list, different casing allowed if (!sWord) { return []; } sWord = str_transform.spellingNormalization(sWord); let l = this._morph(sWord); if (sWord[0].gl_isUpperCase()) { l.push(...this._morph(sWord.toLowerCase())); if (sWord.gl_isUpperCase() && sWord.length > 1) { l.push(...this._morph(sWord.gl_toCapitalize())); } } return l; } suggest (sWord, nSuggLimit=10, bSplitTrailingNumbers=false) { // returns a array of suggestions for <sWord> //console.time("Suggestions for " + sWord); sWord = str_transform.spellingNormalization(sWord); let sPfx = ""; let sSfx = ""; if (this.lexicographer) { [sPfx, sWord, sSfx] = this.lexicographer.split(sWord); } let nMaxSwitch = Math.max(Math.floor(sWord.length / 3), 1); let nMaxDel = Math.floor(sWord.length / 5); let nMaxHardRepl = Math.max(Math.floor((sWord.length - 5) / 4), 1); let nMaxJump = Math.max(Math.floor(sWord.length / 4), 1); let oSuggResult = new SuggResult(sWord, nSuggLimit); sWord = str_transform.cleanWord(sWord); if (bSplitTrailingNumbers) { this._splitTrailingNumbers(oSuggResult, sWord); } this._splitSuggest(oSuggResult, sWord); this._suggest(oSuggResult, sWord, nMaxSwitch, nMaxDel, nMaxHardRepl, nMaxJump); let aSugg = oSuggResult.getSuggestions(); if (this.lexicographer) { aSugg = this.lexicographer.filterSugg(aSugg); } if (sSfx || sPfx) { // we add what we removed return aSugg.map( (sSugg) => { return sPfx + sSugg + sSfx; } ); } |
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376 377 378 379 380 381 382 | } } } _suggest (oSuggResult, sRemain, nMaxSwitch=0, nMaxDel=0, nMaxHardRepl=0, nMaxJump=0, nDist=0, nDeep=0, iAddr=0, sNewWord="", bAvoidLoop=false) { // returns a set of suggestions // recursive function | | | 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 | } } } _suggest (oSuggResult, sRemain, nMaxSwitch=0, nMaxDel=0, nMaxHardRepl=0, nMaxJump=0, nDist=0, nDeep=0, iAddr=0, sNewWord="", bAvoidLoop=false) { // returns a set of suggestions // recursive function if (this.byDic[iAddr] & this._finalNodeMask) { if (sRemain == "") { oSuggResult.addSugg(sNewWord); for (let sTail of this._getTails(iAddr)) { oSuggResult.addSugg(sNewWord+sTail); } return; } |
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486 487 488 489 490 491 492 | } _getTails (iAddr, sTail="", n=2) { // return a list of suffixes ending at a distance of <n> from <iAddr> let aTails = new Set(); for (let [nVal, jAddr] of this._getArcs(iAddr)) { if (nVal <= this.nChar) { | | < < < < | 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 | } _getTails (iAddr, sTail="", n=2) { // return a list of suffixes ending at a distance of <n> from <iAddr> let aTails = new Set(); for (let [nVal, jAddr] of this._getArcs(iAddr)) { if (nVal <= this.nChar) { if (this.byDic[jAddr] & this._finalNodeMask) { aTails.add(sTail + this.dCharVal.get(nVal)); } if (n && aTails.size == 0) { aTails.gl_update(this._getTails(jAddr, sTail+this.dCharVal.get(nVal), n-1)); } } } return aTails; } getSimilarEntries (sWord, nSuggLimit=10) { // return a list of tuples (similar word, stem, morphology) if (sWord == "") { return []; } let lResult = []; for (let sSimilar of this.suggest(sWord, nSuggLimit)) { |
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528 529 530 531 532 533 534 | zFlexPattern = (sFlexPattern !== "") ? new RegExp(sFlexPattern) : null; zTagsPattern = (sTagsPattern !== "") ? new RegExp(sTagsPattern) : null; } catch (e) { console.log("Error in regex pattern"); console.log(e.message); } | | < < | | | | | | | | | | | | | | | | | | | | | | | | | | | | < < < < < < < < < < < < < < < < < < < < < < < < < < < | 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 | zFlexPattern = (sFlexPattern !== "") ? new RegExp(sFlexPattern) : null; zTagsPattern = (sTagsPattern !== "") ? new RegExp(sTagsPattern) : null; } catch (e) { console.log("Error in regex pattern"); console.log(e.message); } yield* this._select(zFlexPattern, zTagsPattern, 0, ""); } * _select (zFlexPattern, zTagsPattern, iAddr, sWord) { // recursive generator for (let [nVal, jAddr] of this._getArcs(iAddr)) { if (nVal <= this.nChar) { // simple character yield* this._select(zFlexPattern, zTagsPattern, jAddr, sWord + this.lArcVal[nVal]); } else { if (!zFlexPattern || zFlexPattern.test(sWord)) { let sStem = this.funcStemming(sWord, this.lArcVal[nVal]); for (let [nMorphVal, _] of this._getArcs(jAddr)) { if (!zTagsPattern || zTagsPattern.test(this.lArcVal[nMorphVal])) { yield [sWord, sStem, this.lArcVal[nMorphVal]]; } } } } } } _morph (sWord) { // returns morphologies of sWord let iAddr = 0; for (let c of sWord) { if (!this.dChar.has(c)) { return []; } iAddr = this._lookupArcNode(this.dChar.get(c), iAddr); if (iAddr === null) { return []; } } if (this.byDic[iAddr] & this._finalNodeMask) { let l = []; let nRawArc = 0; while (!(nRawArc & this._lastArcMask)) { let iEndArcAddr = iAddr + 1; nRawArc = this.byDic[iAddr]; let nArc = nRawArc & this._arcMask; if (nArc > this.nChar) { // This value is not a char, this is a stemming code let sStem = ">" + this.funcStemming(sWord, this.lArcVal[nArc]); // Now , we go to the next node and retrieve all following arcs values, all of them are tags let iAddr2 = this.byDic[iEndArcAddr]; let nRawArc2 = 0; while (!(nRawArc2 & this._lastArcMask)) { let iEndArcAddr2 = iAddr2 + 1; nRawArc2 = this.byDic[iAddr2]; l.push(sStem + "/" + this.lArcVal[nRawArc2 & this._arcMask]); iAddr2 = iEndArcAddr2 + 1; } } iAddr = iEndArcAddr + 1; } return l; } return []; } _stem (sWord) { // returns stems list of sWord let iAddr = 0; for (let c of sWord) { if (!this.dChar.has(c)) { return []; } iAddr = this._lookupArcNode(this.dChar.get(c), iAddr); if (iAddr === null) { return []; } } if (this.byDic[iAddr] & this._finalNodeMask) { let l = []; let nRawArc = 0; while (!(nRawArc & this._lastArcMask)) { let iEndArcAddr = iAddr + 1; nRawArc = this.byDic[iAddr]; let nArc = nRawArc & this._arcMask; if (nArc > this.nChar) { // This value is not a char, this is a stemming code l.push(this.funcStemming(sWord, this.lArcVal[nArc])); } iAddr = iEndArcAddr + 1; } return l; } return []; } _lookupArcNode (nVal, iAddr) { // looks if nVal is an arc at the node at iAddr, if yes, returns address of next node else None while (true) { let iEndArcAddr = iAddr+1; let nRawArc = this.byDic[iAddr]; if (nVal == (nRawArc & this._arcMask)) { // the value we are looking for // we return the address of the next node return this.byDic[iEndArcAddr]; } else { // value not found if (nRawArc & this._lastArcMask) { return null; } iAddr = iEndArcAddr + 1; } } } * _getArcs (iAddr) { // generator: return all arcs at <iAddr> as tuples of (nVal, iAddr) while (true) { let iEndArcAddr = iAddr+1; let nRawArc = this.byDic[iAddr]; yield [nRawArc & this._arcMask, this.byDic[iEndArcAddr]]; if (nRawArc & this._lastArcMask) { break; } iAddr = iEndArcAddr+1; } } } if (typeof(exports) !== 'undefined') { exports.IBDAWG = IBDAWG; } |
Modified graphspell-js/str_transform.js from [4c4ee6009e] to [3bf8e3b480].
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | // STRING TRANSFORMATION /* jshint esversion:6, -W097 */ /* jslint esversion:6 */ /* global exports, console */ "use strict"; if (typeof(process) !== 'undefined') { var char_player = require("./char_player.js"); } // Note: 48 is the ASCII code for "0" var str_transform = { getNgrams: function (sWord, n=2) { let lNgrams = []; | > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | // STRING TRANSFORMATION /* jshint esversion:6, -W097 */ /* jslint esversion:6 */ /* global exports, console */ "use strict"; if (typeof(process) !== 'undefined') { var char_player = require("./char_player.js"); } // Note: 48 is the ASCII code for "0" var str_transform = { getNgrams: function (sWord, n=2) { let lNgrams = []; |
︙ | ︙ | |||
61 62 63 64 65 66 67 68 69 70 71 72 73 74 | if (c != sWord.slice(i, i+1) || (c == 'e' && sWord.slice(i, i+2) != "ee")) { // exception for <e> to avoid confusion between crée / créai sNewWord += c; } i++; } return sNewWord.replace(/eau/g, "o").replace(/au/g, "o").replace(/ai/g, "éi").replace(/ei/g, "é").replace(/ph/g, "f"); }, _xTransNumbersToExponent: new Map([ ["0", "⁰"], ["1", "¹"], ["2", "²"], ["3", "³"], ["4", "⁴"], ["5", "⁵"], ["6", "⁶"], ["7", "⁷"], ["8", "⁸"], ["9", "⁹"] ]), numbersToExponent: function (sWord) { let sNewWord = ""; | > > > > > > | 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | if (c != sWord.slice(i, i+1) || (c == 'e' && sWord.slice(i, i+2) != "ee")) { // exception for <e> to avoid confusion between crée / créai sNewWord += c; } i++; } return sNewWord.replace(/eau/g, "o").replace(/au/g, "o").replace(/ai/g, "éi").replace(/ei/g, "é").replace(/ph/g, "f"); }, cleanWord: function (sWord) { // word clean for the user who make commun and preditive error help suggest // remove letters repeated more than 2 times return sWord.replace(/(.)\1{2,}/ig,'$1$1'); }, _xTransNumbersToExponent: new Map([ ["0", "⁰"], ["1", "¹"], ["2", "²"], ["3", "³"], ["4", "⁴"], ["5", "⁵"], ["6", "⁶"], ["7", "⁷"], ["8", "⁸"], ["9", "⁹"] ]), numbersToExponent: function (sWord) { let sNewWord = ""; |
︙ | ︙ | |||
148 149 150 151 152 153 154 155 156 157 158 159 160 161 | } return matrix[nLen1][nLen2]; } catch (e) { console.error(e); } }, showDistance (s1, s2) { console.log(`Distance: ${s1} / ${s2} = ${this.distanceDamerauLevenshtein(s1, s2)})`); }, // Suffix only defineSuffixCode: function (sFlex, sStem) { | > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 | } return matrix[nLen1][nLen2]; } catch (e) { console.error(e); } }, distanceJaroWinkler: function(a, b, boost = .666) { // https://github.com/thsig/jaro-winkler-JS //if (a == b) { return 1.0; } let a_len = a.length; let b_len = b.length; let a_flag = []; let b_flag = []; let search_range = Math.floor(Math.max(a_len, b_len) / 2) - 1; let minv = Math.min(a_len, b_len); // Looking only within the search range, count and flag the matched pairs. let Num_com = 0; let yl1 = b_len - 1; for (let i = 0; i < a_len; i++) { let lowlim = (i >= search_range) ? i - search_range : 0; let hilim = ((i + search_range) <= yl1) ? (i + search_range) : yl1; for (let j = lowlim; j <= hilim; j++) { if (b_flag[j] !== 1 && a[j] === b[i]) { a_flag[j] = 1; b_flag[i] = 1; Num_com++; break; } } } // Return if no characters in common if (Num_com === 0) { return 0.0; } // Count the number of transpositions let k = 0; let N_trans = 0; for (let i = 0; i < a_len; i++) { if (a_flag[i] === 1) { let j; for (j = k; j < b_len; j++) { if (b_flag[j] === 1) { k = j + 1; break; } } if (a[i] !== b[j]) { N_trans++; } } } N_trans = Math.floor(N_trans / 2); // Adjust for similarities in nonmatched characters let N_simi = 0; let adjwt = char_player.oDistanceBetweenChars; if (minv > Num_com) { for (let i = 0; i < a_len; i++) { if (!a_flag[i]) { for (let j = 0; j < b_len; j++) { if (!b_flag[j]) { if (adjwt[a[i]] && adjwt[a[i]][b[j]]) { N_simi += adjwt[a[i]][b[j]]; b_flag[j] = 2; break; } } } } } } let Num_sim = (N_simi / 10.0) + Num_com; // Main weight computation let weight = Num_sim / a_len + Num_sim / b_len + (Num_com - N_trans) / Num_com; weight = weight / 3; // Continue to boost the weight if the strings are similar if (weight > boost) { // Adjust for having up to the first 4 characters in common let j = (minv >= 4) ? 4 : minv; let i; for (i = 0; (i < j) && a[i] === b[i]; i++) { } if (i) { weight += i * 0.1 * (1.0 - weight) }; // Adjust for long strings. // After agreeing beginning chars, at least two more must agree // and the agreeing characters must be more than half of the // remaining characters. if (minv > 4 && Num_com > i + 1 && 2 * Num_com >= minv + i) { weight += (1 - weight) * ((Num_com - i - 1) / (a_len * b_len - i*2 + 2)); } } return weight; }, showDistance (s1, s2) { console.log(`Distance: ${s1} / ${s2} = ${this.distanceDamerauLevenshtein(s1, s2)})`); }, // Suffix only defineSuffixCode: function (sFlex, sStem) { |
︙ | ︙ |
Modified graphspell/char_player.py from [e2b351100d] to [24cf38a4cb].
1 2 3 4 5 6 7 | """ List of similar chars useful for suggestion mechanism """ dDistanceBetweenChars = { | > > > | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | """ List of similar chars useful for suggestion mechanism """ dDistanceBetweenChars = { # dDistanceBetweenChars: # - with Jaro-Winkler, values between 1 and 10 # - with Damerau-Levenshtein, values / 10 (between 0 and 1: 0.1, 0.2 ... 0.9) #"a": {}, "e": {"é": 5}, "é": {"e": 5}, "i": {"y": 2}, #"o": {}, #"u": {}, "y": {"i": 3}, "b": {"d": 8, "h": 9}, "c": {"ç": 1, "k": 5, "q": 5, "s": 5, "x": 5, "z": 8}, "d": {"b": 8}, "f": {"v": 8}, "g": {"j": 5}, "h": {"b": 9}, "j": {"g": 5, "i": 9}, "k": {"c": 5, "q": 1, "x": 5}, "l": {"i": 9}, "m": {"n": 8}, "n": {"m": 8, "r": 9}, "p": {"q": 9}, "q": {"c": 5, "k": 1, "p": 9}, "r": {"n": 9, "j": 9}, "s": {"c": 5, "ç": 1, "x": 5, "z": 5}, "t": {"d": 9}, "v": {"f": 8, "w": 1}, "w": {"v": 1}, "x": {"c": 5, "k": 5, "q": 5, "s": 5}, "z": {"s": 5} } def distanceBetweenChars (c1, c2): "returns a float between 0 and 1" if c1 == c2: return 0 |
︙ | ︙ | |||
313 314 315 316 317 318 319 | # End of word dFinal1 = { "a": ("as", "at", "ant", "ah"), "A": ("AS", "AT", "ANT", "AH"), | | | > > | 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 | # End of word dFinal1 = { "a": ("as", "at", "ant", "ah"), "A": ("AS", "AT", "ANT", "AH"), "c": ("ch", "que"), "C": ("CH", "QUE"), "e": ("et", "er", "ets", "ée", "ez", "ai", "ais", "ait", "ent", "eh"), "E": ("ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT", "ENT", "EH"), "é": ("et", "er", "ets", "ée", "ez", "ai", "ais", "ait"), "É": ("ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"), "è": ("et", "er", "ets", "ée", "ez", "ai", "ais", "ait"), "È": ("ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"), "ê": ("et", "er", "ets", "ée", "ez", "ai", "ais", "ait"), "Ê": ("ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"), "ë": ("et", "er", "ets", "ée", "ez", "ai", "ais", "ait"), "Ë": ("ET", "ER", "ETS", "ÉE", "EZ", "AI", "AIS", "AIT"), "g": ("gh",), "G": ("GH",), "i": ("is", "it", "ie", "in"), "I": ("IS", "IT", "IE", "IN"), "k": ("que",), "K": ("QUE",), "n": ("nt", "nd", "ns", "nh"), "N": ("NT", "ND", "NS", "NH"), "o": ("aut", "ot", "os"), "O": ("AUT", "OT", "OS"), "ô": ("aut", "ot", "os"), "Ô": ("AUT", "OT", "OS"), "ö": ("aut", "ot", "os"), |
︙ | ︙ |
Modified graphspell/ibdawg.py from [d16ed0d683] to [d672255b46].
︙ | ︙ | |||
11 12 13 14 15 16 17 18 19 20 21 22 23 24 | import re from functools import wraps import time import json import binascii import importlib from collections import OrderedDict #import logging #logging.basicConfig(filename="suggestions.log", level=logging.DEBUG) from . import str_transform as st from . import char_player as cp from .echo import echo | > | 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | import re from functools import wraps import time import json import binascii import importlib from collections import OrderedDict from math import floor #import logging #logging.basicConfig(filename="suggestions.log", level=logging.DEBUG) from . import str_transform as st from . import char_player as cp from .echo import echo |
︙ | ︙ | |||
36 37 38 39 40 41 42 | return result return wrapper class SuggResult: """Structure for storing, classifying and filtering suggestions""" | | > | | | > > > > > < | | > | > | > | > | > | | | | | | | | < < < < | | | < | < | | > > > > | | | 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | return result return wrapper class SuggResult: """Structure for storing, classifying and filtering suggestions""" def __init__ (self, sWord, nSuggLimit=10, nDistLimit=-1): self.sWord = sWord self.sSimplifiedWord = st.simplifyWord(sWord) self.nDistLimit = nDistLimit if nDistLimit >= 0 else (len(sWord) // 3) + 1 self.nMinDist = 1000 # Temporary sets self.aAllSugg = set() # All suggestions, even the one rejected self.dGoodSugg = {} # Acceptable suggestions self.dBestSugg = {} # Best suggestions # Parameters self.nSuggLimit = nSuggLimit self.nSuggLimitExt = nSuggLimit + 2 # we add few entries in case suggestions merge after casing modifications self.nBestSuggLimit = floor(nSuggLimit * 1.5) # n times the requested limit self.nGoodSuggLimit = nSuggLimit * 15 # n times the requested limit def addSugg (self, sSugg, nDeep=0): "add a suggestion" #logging.info((nDeep * " ") + "__" + sSugg + "__") if sSugg in self.aAllSugg: return self.aAllSugg.add(sSugg) nDistJaro = 1 - st.distanceJaroWinkler(self.sSimplifiedWord, st.simplifyWord(sSugg)) nDist = floor(nDistJaro * 10) if nDistJaro < .11: # Best suggestions self.dBestSugg[sSugg] = round(nDistJaro*1000) if len(self.dBestSugg) > self.nBestSuggLimit: self.nDistLimit = -1 # make suggest() to end search elif nDistJaro < .33: # Good suggestions self.dGoodSugg[sSugg] = round(nDistJaro*1000) if len(self.dGoodSugg) > self.nGoodSuggLimit: self.nDistLimit = -1 # make suggest() to end search else: if nDist < self.nMinDist: self.nMinDist = nDist self.nDistLimit = min(self.nDistLimit, self.nMinDist) if nDist <= self.nDistLimit: if nDist < self.nMinDist: self.nMinDist = nDist self.nDistLimit = min(self.nDistLimit, self.nMinDist+1) def getSuggestions (self): "return a list of suggestions" # we sort the better results with the original word lRes = [] if len(self.dBestSugg) > 0: # sort only with simplified words lResTmp = sorted(self.dBestSugg.items(), key=lambda x: x[1]) for i in range(min(self.nSuggLimitExt, len(lResTmp))): lRes.append(lResTmp[i][0]) if len(lRes) < self.nSuggLimitExt: # sort with simplified words and original word lResTmp = sorted(self.dGoodSugg.items(), key=lambda x: ((1-st.distanceJaroWinkler(self.sWord, x[0]))*10, x[1])) for i in range(min(self.nSuggLimitExt, len(lResTmp))): lRes.append(lResTmp[i][0]) # casing if self.sWord.isupper(): lRes = list(OrderedDict.fromkeys(map(lambda sSugg: sSugg.upper(), lRes))) # use dict, when Python 3.6+ elif self.sWord[0:1].isupper(): # dont’ use <.istitle> lRes = list(OrderedDict.fromkeys(map(lambda sSugg: sSugg[0:1].upper()+sSugg[1:], lRes))) # use dict, when Python 3.6+ return lRes[:self.nSuggLimit] def reset (self): "clear data" self.aSugg.clear() self.dSugg.clear() |
︙ | ︙ | |||
116 117 118 119 120 121 122 123 124 125 | else: raise OSError("# Error. Unknown file type: "+source) else: self._initJSON(source) self.sFileName = source if isinstance(source, str) else "[None]" self._arcMask = (2 ** ((self.nBytesArc * 8) - 3)) - 1 self._finalNodeMask = 1 << ((self.nBytesArc * 8) - 1) self._lastArcMask = 1 << ((self.nBytesArc * 8) - 2) | > > > > > > > > > > > > > > > > > > > > < < < < < < < < < < < < < < < < < < < < < < < | 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 | else: raise OSError("# Error. Unknown file type: "+source) else: self._initJSON(source) self.sFileName = source if isinstance(source, str) else "[None]" # Performance trick: # Instead of converting bytes to integers each times we parse the binary dictionary, # we do it once, then parse the array nAcc = 0 byBuffer = b"" lTemp = [] nDivisor = (self.nBytesArc + self.nBytesNodeAddress) / 2 for i in range(0, len(self.byDic)): byBuffer += self.byDic[i:i+1] if nAcc == (self.nBytesArc - 1): lTemp.append(int.from_bytes(byBuffer, byteorder="big")) byBuffer = b"" elif nAcc == (self.nBytesArc + self.nBytesNodeAddress - 1): lTemp.append(round(int.from_bytes(byBuffer, byteorder="big") / nDivisor)) byBuffer = b"" nAcc = -1 nAcc = nAcc + 1 self.byDic = lTemp; # masks self._arcMask = (2 ** ((self.nBytesArc * 8) - 3)) - 1 self._finalNodeMask = 1 << ((self.nBytesArc * 8) - 1) self._lastArcMask = 1 << ((self.nBytesArc * 8) - 2) # function to decode the affix/suffix code if self.cStemming == "S": self.funcStemming = st.changeWordWithSuffixCode elif self.cStemming == "A": self.funcStemming = st.changeWordWithAffixCode else: self.funcStemming = st.noStemming self.bAcronymValid = False self.bNumAtLastValid = False # lexicographer module ? self.lexicographer = None try: self.lexicographer = importlib.import_module(".lexgraph_"+self.sLangCode, "grammalecte.graphspell") |
︙ | ︙ | |||
200 201 202 203 204 205 206 | self.cStemming = l.pop(0) self.nTag = self.nArcVal - self.nChar - self.nAff # <dChar> to get the value of an arc, <dCharVal> to get the char of an arc with its value self.dChar = {} for i in range(1, self.nChar+1): self.dChar[self.lArcVal[i]] = i self.dCharVal = { v: k for k, v in self.dChar.items() } | < | 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | self.cStemming = l.pop(0) self.nTag = self.nArcVal - self.nChar - self.nAff # <dChar> to get the value of an arc, <dCharVal> to get the char of an arc with its value self.dChar = {} for i in range(1, self.nChar+1): self.dChar[self.lArcVal[i]] = i self.dCharVal = { v: k for k, v in self.dChar.items() } def _initJSON (self, oJSON): "initialize with a JSON text file" self.sByDic = "" # init to prevent pylint whining self.__dict__.update(oJSON) self.byDic = binascii.unhexlify(self.sByDic) self.dCharVal = { v: k for k, v in self.dChar.items() } |
︙ | ︙ | |||
244 245 246 247 248 249 250 | "nNode": self.nNode, "nArc": self.nArc, "nArcVal": self.nArcVal, "lArcVal": self.lArcVal, "nCompressionMethod": self.nCompressionMethod, "nBytesArc": self.nBytesArc, "nBytesNodeAddress": self.nBytesNodeAddress, | < | 249 250 251 252 253 254 255 256 257 258 259 260 261 262 | "nNode": self.nNode, "nArc": self.nArc, "nArcVal": self.nArcVal, "lArcVal": self.lArcVal, "nCompressionMethod": self.nCompressionMethod, "nBytesArc": self.nBytesArc, "nBytesNodeAddress": self.nBytesNodeAddress, # JavaScript is a pile of shit, so Mozilla’s JS parser don’t like file bigger than 4 Mb! # So, if necessary, we use an hexadecimal string, that we will convert later in Firefox’s extension. # https://github.com/mozilla/addons-linter/issues/1361 "sByDic": self.byDic.hex() if bBinaryDictAsHexString else [ e for e in self.byDic ], "l2grams": list(self.a2grams) }, ensure_ascii=False)) if bInJSModule: |
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296 297 298 299 300 301 302 | iAddr = 0 for c in sWord: if c not in self.dChar: return False iAddr = self._lookupArcNode(self.dChar[c], iAddr) if iAddr is None: return False | | | | | | > | | 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 | iAddr = 0 for c in sWord: if c not in self.dChar: return False iAddr = self._lookupArcNode(self.dChar[c], iAddr) if iAddr is None: return False return bool(self.byDic[iAddr] & self._finalNodeMask) def getMorph (self, sWord): "retrieves morphologies list, different casing allowed" if not sWord: return [] sWord = st.spellingNormalization(sWord) l = self._morph(sWord) if sWord[0:1].isupper(): l.extend(self._morph(sWord.lower())) if sWord.isupper() and len(sWord) > 1: l.extend(self._morph(sWord.capitalize())) return l #@timethis def suggest (self, sWord, nSuggLimit=10, bSplitTrailingNumbers=False): "returns a set of suggestions for <sWord>" sWord = sWord.rstrip(".") # useful for LibreOffice sWord = st.spellingNormalization(sWord) sPfx = "" sSfx = "" if self.lexicographer: sPfx, sWord, sSfx = self.lexicographer.split(sWord) nMaxSwitch = max(len(sWord) // 3, 1) nMaxDel = len(sWord) // 5 nMaxHardRepl = max((len(sWord) - 5) // 4, 1) nMaxJump = max(len(sWord) // 4, 1) oSuggResult = SuggResult(sWord, nSuggLimit) sWord = st.cleanWord(sWord) if bSplitTrailingNumbers: self._splitTrailingNumbers(oSuggResult, sWord) self._splitSuggest(oSuggResult, sWord) self._suggest(oSuggResult, sWord, nMaxSwitch, nMaxDel, nMaxHardRepl, nMaxJump) aSugg = oSuggResult.getSuggestions() if self.lexicographer: aSugg = self.lexicographer.filterSugg(aSugg) if sSfx or sPfx: # we add what we removed return list(map(lambda sSug: sPfx + sSug + sSfx, aSugg)) return aSugg |
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352 353 354 355 356 357 358 | sWord1, sWord2 = sWord.split(cSplitter, 1) if self.isValid(sWord1) and self.isValid(sWord2): oSuggResult.addSugg(sWord1+" "+sWord2) def _suggest (self, oSuggResult, sRemain, nMaxSwitch=0, nMaxDel=0, nMaxHardRepl=0, nMaxJump=0, nDist=0, nDeep=0, iAddr=0, sNewWord="", bAvoidLoop=False): # recursive function #logging.info((nDeep * " ") + sNewWord + ":" + sRemain) | | | 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 | sWord1, sWord2 = sWord.split(cSplitter, 1) if self.isValid(sWord1) and self.isValid(sWord2): oSuggResult.addSugg(sWord1+" "+sWord2) def _suggest (self, oSuggResult, sRemain, nMaxSwitch=0, nMaxDel=0, nMaxHardRepl=0, nMaxJump=0, nDist=0, nDeep=0, iAddr=0, sNewWord="", bAvoidLoop=False): # recursive function #logging.info((nDeep * " ") + sNewWord + ":" + sRemain) if self.byDic[iAddr] & self._finalNodeMask: if not sRemain: oSuggResult.addSugg(sNewWord, nDeep) for sTail in self._getTails(iAddr): oSuggResult.addSugg(sNewWord+sTail, nDeep) return if (len(sNewWord) + len(sRemain) == len(oSuggResult.sWord)) and oSuggResult.sWord.lower().startswith(sNewWord.lower()) and self.isValid(sRemain): if self.sLangCode == "fr" and sNewWord.lower() in ("l", "d", "n", "m", "t", "s", "c", "j", "qu", "lorsqu", "puisqu", "quoiqu", "jusqu", "quelqu") and sRemain[0:1] in cp.aVowel: |
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419 420 421 422 423 424 425 | yield (self.dCharVal[nVal], jAddr) def _getTails (self, iAddr, sTail="", n=2): "return a list of suffixes ending at a distance of <n> from <iAddr>" aTails = set() for nVal, jAddr in self._getArcs(iAddr): if nVal <= self.nChar: | | | 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 | yield (self.dCharVal[nVal], jAddr) def _getTails (self, iAddr, sTail="", n=2): "return a list of suffixes ending at a distance of <n> from <iAddr>" aTails = set() for nVal, jAddr in self._getArcs(iAddr): if nVal <= self.nChar: if self.byDic[jAddr] & self._finalNodeMask: aTails.add(sTail + self.dCharVal[nVal]) if n and not aTails: aTails.update(self._getTails(jAddr, sTail+self.dCharVal[nVal], n-1)) return aTails def drawPath (self, sWord, iAddr=0): "show the path taken by <sWord> in the graph" |
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467 468 469 470 471 472 473 | if sFlexPattern: zFlexPattern = re.compile(sFlexPattern) if sTagsPattern: zTagsPattern = re.compile(sTagsPattern) except re.error: print("# Error in regex pattern") traceback.print_exc() | | < < < < | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | < < < < < < < < < < < < < < < < < < < < < < < < < < | < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < | 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 | if sFlexPattern: zFlexPattern = re.compile(sFlexPattern) if sTagsPattern: zTagsPattern = re.compile(sTagsPattern) except re.error: print("# Error in regex pattern") traceback.print_exc() yield from self._select(zFlexPattern, zTagsPattern, 0, "") def _select (self, zFlexPattern, zTagsPattern, iAddr, sWord): # recursive generator for nVal, jAddr in self._getArcs(iAddr): if nVal <= self.nChar: # simple character yield from self._select(zFlexPattern, zTagsPattern, jAddr, sWord + self.lArcVal[nVal]) else: if not zFlexPattern or zFlexPattern.search(sWord): sStem = self.funcStemming(sWord, self.lArcVal[nVal]) for nMorphVal, _ in self._getArcs(jAddr): if not zTagsPattern or zTagsPattern.search(self.lArcVal[nMorphVal]): yield [sWord, sStem, self.lArcVal[nMorphVal]] def _morph (self, sWord): "returns morphologies of <sWord>" iAddr = 0 for c in sWord: if c not in self.dChar: return [] iAddr = self._lookupArcNode(self.dChar[c], iAddr) if iAddr is None: return [] if self.byDic[iAddr] & self._finalNodeMask: l = [] nRawArc = 0 while not nRawArc & self._lastArcMask: iEndArcAddr = iAddr + 1 nRawArc = self.byDic[iAddr] nArc = nRawArc & self._arcMask if nArc > self.nChar: # This value is not a char, this is a stemming code sStem = ">" + self.funcStemming(sWord, self.lArcVal[nArc]) # Now , we go to the next node and retrieve all following arcs values, all of them are tags iAddr2 = self.byDic[iEndArcAddr] nRawArc2 = 0 while not nRawArc2 & self._lastArcMask: iEndArcAddr2 = iAddr2 + 1 nRawArc2 = self.byDic[iAddr2] l.append(sStem + "/" + self.lArcVal[nRawArc2 & self._arcMask]) iAddr2 = iEndArcAddr2 + 1 iAddr = iEndArcAddr + 1 return l return [] def _stem (self, sWord): "returns stems list of <sWord>" iAddr = 0 for c in sWord: if c not in self.dChar: return [] iAddr = self._lookupArcNode(self.dChar[c], iAddr) if iAddr is None: return [] if self.byDic[iAddr] & self._finalNodeMask: l = [] nRawArc = 0 while not nRawArc & self._lastArcMask: iEndArcAddr = iAddr + 1 nRawArc = self.byDic[iAddr] nArc = nRawArc & self._arcMask if nArc > self.nChar: # This value is not a char, this is a stemming code l.append(self.funcStemming(sWord, self.lArcVal[nArc])) iAddr = iEndArcAddr + 1 return l return [] def _lookupArcNode (self, nVal, iAddr): "looks if <nVal> is an arc at the node at <iAddr>, if yes, returns address of next node else None" while True: iEndArcAddr = iAddr + 1 nRawArc = self.byDic[iAddr] if nVal == (nRawArc & self._arcMask): # the value we are looking for # we return the address of the next node return self.byDic[iEndArcAddr] # value not found if nRawArc & self._lastArcMask: return None iAddr = iEndArcAddr + 1 def _getArcs (self, iAddr): "generator: return all arcs at <iAddr> as tuples of (nVal, iAddr)" while True: iEndArcAddr = iAddr + 1 nRawArc = self.byDic[iAddr] yield nRawArc & self._arcMask, self.byDic[iEndArcAddr] if nRawArc & self._lastArcMask: break iAddr = iEndArcAddr + 1 def _writeNodes (self, spfDest): "for debugging only" print(" > Write binary nodes") with open(spfDest, 'w', 'utf-8', newline="\n") as hDst: iAddr = 0 hDst.write("i{:_>10} -- #{:_>10}\n".format("0", iAddr)) while iAddr < len(self.byDic): iEndArcAddr = iAddr + 1 nRawArc = self.byDic[iAddr] nArc = nRawArc & self._arcMask hDst.write(" {:<20} {:0>16} i{:>10} #{:_>10}\n".format(self.lArcVal[nArc], bin(nRawArc)[2:], "?", self.byDic[iEndArcAddr])) iAddr = iEndArcAddr + 1 if (nRawArc & self._lastArcMask) and iAddr < len(self.byDic): hDst.write("\ni{:_>10} -- #{:_>10}\n".format("?", iAddr)) hDst.close() |
Modified graphspell/str_transform.py from [e27e70d363] to [98c57fa9ba].
1 2 3 4 5 6 7 8 | """ Operations on strings: - calculate distance between two strings - transform strings with transformation codes """ import unicodedata | > | | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | """ Operations on strings: - calculate distance between two strings - transform strings with transformation codes """ import unicodedata import re from .char_player import distanceBetweenChars, dDistanceBetweenChars #### N-GRAMS def getNgrams (sWord, n=2): "return a list of Ngrams strings" return [ sWord[i:i+n] for i in range(len(sWord)-n+1) ] |
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48 49 50 51 52 53 54 55 56 57 58 59 60 61 | sWord = sWord.lower().translate(_xTransCharsForSimplification) sNewWord = "" for i, c in enumerate(sWord, 1): if c != sWord[i:i+1] or (c == 'e' and sWord[i:i+2] != "ee"): # exception for <e> to avoid confusion between crée / créai sNewWord += c return sNewWord.replace("eau", "o").replace("au", "o").replace("ai", "éi").replace("ei", "é").replace("ph", "f") _xTransNumbersToExponent = str.maketrans({ "0": "⁰", "1": "¹", "2": "²", "3": "³", "4": "⁴", "5": "⁵", "6": "⁶", "7": "⁷", "8": "⁸", "9": "⁹" }) def numbersToExponent (sWord): "convert numeral chars to exponant chars" | > > > > > | 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | sWord = sWord.lower().translate(_xTransCharsForSimplification) sNewWord = "" for i, c in enumerate(sWord, 1): if c != sWord[i:i+1] or (c == 'e' and sWord[i:i+2] != "ee"): # exception for <e> to avoid confusion between crée / créai sNewWord += c return sNewWord.replace("eau", "o").replace("au", "o").replace("ai", "éi").replace("ei", "é").replace("ph", "f") def cleanWord (sWord): "remove letters repeated more than 2 times" return re.sub("(.)\\1{2,}", '\\1\\1', sWord) _xTransNumbersToExponent = str.maketrans({ "0": "⁰", "1": "¹", "2": "²", "3": "³", "4": "⁴", "5": "⁵", "6": "⁶", "7": "⁷", "8": "⁸", "9": "⁹" }) def numbersToExponent (sWord): "convert numeral chars to exponant chars" |
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102 103 104 105 106 107 108 109 110 111 112 113 114 115 | d[i, j-1] + 1, # Insertion d[i-1, j-1] + nCost, # Substitution ) if i and j and s1[i] == s2[j-1] and s1[i-1] == s2[j]: d[i, j] = min(d[i, j], d[i-2, j-2] + nCost) # Transposition return d[nLen1-1, nLen2-1] def distanceSift4 (s1, s2, nMaxOffset=5): "implementation of general Sift4." # https://siderite.blogspot.com/2014/11/super-fast-and-accurate-string-distance.html if not s1: return len(s2) if not s2: | > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | d[i, j-1] + 1, # Insertion d[i-1, j-1] + nCost, # Substitution ) if i and j and s1[i] == s2[j-1] and s1[i-1] == s2[j]: d[i, j] = min(d[i, j], d[i-2, j-2] + nCost) # Transposition return d[nLen1-1, nLen2-1] def distanceJaroWinkler (a, b, boost = .666): # https://github.com/thsig/jaro-winkler-JS #if (a == b): return 1.0 a_len = len(a) b_len = len(b) nMax = max(a_len, b_len) a_flag = [None for _ in range(nMax)] b_flag = [None for _ in range(nMax)] search_range = (max(a_len, b_len) // 2) - 1 minv = min(a_len, b_len) # Looking only within the search range, count and flag the matched pairs. Num_com = 0 yl1 = b_len - 1 for i in range(a_len): lowlim = i - search_range if i >= search_range else 0 hilim = i + search_range if (i + search_range) <= yl1 else yl1 for j in range(lowlim, hilim+1): if b_flag[j] != 1 and a[j:j+1] == b[i:i+1]: a_flag[j] = 1 b_flag[i] = 1 Num_com += 1 break # Return if no characters in common if Num_com == 0: return 0.0 # Count the number of transpositions k = 0 N_trans = 0 for i in range(a_len): if a_flag[i] == 1: for j in range(k, b_len): if b_flag[j] == 1: k = j + 1 break if a[i] != b[j]: N_trans += 1 N_trans = N_trans // 2 # Adjust for similarities in nonmatched characters N_simi = 0 if minv > Num_com: for i in range(a_len): if not a_flag[i]: for j in range(b_len): if not b_flag[j]: if a[i] in dDistanceBetweenChars and b[j] in dDistanceBetweenChars[a[i]]: N_simi += dDistanceBetweenChars[a[i]][b[j]] b_flag[j] = 2 break Num_sim = (N_simi / 10.0) + Num_com # Main weight computation weight = Num_sim / a_len + Num_sim / b_len + (Num_com - N_trans) / Num_com weight = weight / 3 # Continue to boost the weight if the strings are similar if weight > boost: # Adjust for having up to the first 4 characters in common j = 4 if minv >= 4 else minv i = 0 while i < j and a[i] == b[i]: i += 1 if i: weight += i * 0.1 * (1.0 - weight) # Adjust for long strings. # After agreeing beginning chars, at least two more must agree # and the agreeing characters must be more than half of the # remaining characters. if minv > 4 and Num_com > i + 1 and 2 * Num_com >= minv + i: weight += (1 - weight) * ((Num_com - i - 1) / (a_len * b_len - i*2 + 2)) return weight def distanceSift4 (s1, s2, nMaxOffset=5): "implementation of general Sift4." # https://siderite.blogspot.com/2014/11/super-fast-and-accurate-string-distance.html if not s1: return len(s2) if not s2: |
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