Grammalecte  Check-in [2381f7c9ae]

Overview
Comment:[graphspell] move function from char_player to str_transform
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SHA3-256: 2381f7c9ae11b01adf4aaee8cfd9f4f715bd7397edc5bc7142a686e8534a03e0
User & Date: olr on 2020-08-05 06:56:15
Other Links: manifest | tags
Context
2020-08-05
09:30
[graphspell] move functions from char_player to str_transform and lexicographer check-in: 19fccd89d6 user: olr tags: trunk, graphspell
06:56
[graphspell] move function from char_player to str_transform check-in: 2381f7c9ae user: olr tags: trunk, graphspell
06:46
[graphspell][py] fix details check-in: 4617b0dfc4 user: olr tags: trunk, graphspell
Changes
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Modified graphspell-js/char_player.js from [3caadd8250] to [ba78268468]. 

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// list of similar chars
// useful for suggestion mechanism

/* jshint esversion:6 */
/* jslint esversion:6 */

${map}


var char_player = {

    _xTransCharsForSpelling: new Map([
        ['ſ', 's'],  ['ffi', 'ffi'],  ['ffl', 'ffl'],  ['ff', 'ff'],  ['ſt', 'ft'],  ['fi', 'fi'],  ['fl', 'fl'],  ['st', 'st']
    ]),

    spellingNormalization: function (sWord) {
        let sNewWord = "";
        for (let c of sWord) {
            sNewWord += this._xTransCharsForSpelling.gl_get(c, c);
        }
        return sNewWord.normalize("NFC");
    },

    oDistanceBetweenChars: {
        "a": {},
        "e": {"é": 0.5},
        "é": {"e": 0.5},
        "i": {"y": 0.2},
        "o": {},
        "u": {},












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// list of similar chars
// useful for suggestion mechanism

/* jshint esversion:6 */
/* jslint esversion:6 */

${map}


var char_player = {













    oDistanceBetweenChars: {
        "a": {},
        "e": {"é": 0.5},
        "é": {"e": 0.5},
        "i": {"y": 0.2},
        "o": {},
        "u": {},
︙︙

Modified graphspell-js/ibdawg.js from [189561924c] to [39524e288d].

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            "l2grams": this.l2grams
        };
        return oJSON;
    }

    isValidToken (sToken) {
        // checks if sToken is valid (if there is hyphens in sToken, sToken is split, each part is checked)
        sToken = char_player.spellingNormalization(sToken);
        if (this.isValid(sToken)) {
            return true;
        }
        if (sToken.includes("-")) {
            if (sToken.gl_count("-") > 4) {
                return true;
            }








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            "l2grams": this.l2grams
        };
        return oJSON;
    }

    isValidToken (sToken) {
        // checks if sToken is valid (if there is hyphens in sToken, sToken is split, each part is checked)
        sToken = str_transform.spellingNormalization(sToken);
        if (this.isValid(sToken)) {
            return true;
        }
        if (sToken.includes("-")) {
            if (sToken.gl_count("-") > 4) {
                return true;
            }
︙︙
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            }
        }
        return Boolean(this._convBytesToInteger(this.byDic.slice(iAddr, iAddr+this.nBytesArc)) & this._finalNodeMask);
    }

    getMorph (sWord) {
        // retrieves morphologies list, different casing allowed
        sWord = char_player.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 = char_player.spellingNormalization(sWord);
        let sPfx = "";
        let sSfx = "";
        [sPfx, sWord, sSfx] = char_player.cut(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);








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            }
        }
        return Boolean(this._convBytesToInteger(this.byDic.slice(iAddr, iAddr+this.nBytesArc)) & this._finalNodeMask);
    }

    getMorph (sWord) {
        // retrieves morphologies list, different casing allowed
        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 = "";
        [sPfx, sWord, sSfx] = char_player.cut(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);
︙︙

Modified graphspell-js/str_transform.js from [9baf96ac7b] to [1ca4ee03ac].

︙︙
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    getNgrams: function (sWord, n=2) {
        let lNgrams = [];
        for (let i=0;  i <= sWord.length - n;  i++) {
            lNgrams.push(sWord.slice(i, i+n));
        }
        return lNgrams;
    },













    longestCommonSubstring: function (string1, string2) {
        // https://en.wikibooks.org/wiki/Algorithm_Implementation/Strings/Longest_common_substring
        // untested

        // init max value
        let longestCommonSubstring = 0;








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    getNgrams: function (sWord, n=2) {
        let lNgrams = [];
        for (let i=0;  i <= sWord.length - n;  i++) {
            lNgrams.push(sWord.slice(i, i+n));
        }
        return lNgrams;
    },

    _xTransCharsForSpelling: new Map([
        ['ſ', 's'],  ['ffi', 'ffi'],  ['ffl', 'ffl'],  ['ff', 'ff'],  ['ſt', 'ft'],  ['fi', 'fi'],  ['fl', 'fl'],  ['st', 'st']
    ]),

    spellingNormalization: function (sWord) {
        let sNewWord = "";
        for (let c of sWord) {
            sNewWord += this._xTransCharsForSpelling.gl_get(c, c);
        }
        return sNewWord.normalize("NFC");
    },

    longestCommonSubstring: function (string1, string2) {
        // https://en.wikibooks.org/wiki/Algorithm_Implementation/Strings/Longest_common_substring
        // untested

        // init max value
        let longestCommonSubstring = 0;
︙︙

Modified graphspell/char_player.py from [fa338bf2f3] to [5484ce7bef]. 

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"""
List of similar chars
useful for suggestion mechanism
"""

import re
import unicodedata


_xTransCharsForSpelling = str.maketrans({
    'ſ': 's',  'ffi': 'ffi',  'ffl': 'ffl',  'ff': 'ff',  'ſt': 'ft',  'fi': 'fi',  'fl': 'fl',  'st': 'st'
})

def spellingNormalization (sWord):
    "nomalization NFC and removing ligatures"
    return unicodedata.normalize("NFC", sWord.translate(_xTransCharsForSpelling))


dDistanceBetweenChars = {
    "a": {},
    "e": {"é": 0.5},
    "é": {"e": 0.5},
    "i": {"y": 0.2},







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"""
List of similar chars
useful for suggestion mechanism
"""

import re












dDistanceBetweenChars = {
    "a": {},
    "e": {"é": 0.5},
    "é": {"e": 0.5},
    "i": {"y": 0.2},
︙︙

Modified graphspell/ibdawg.py from [f3a55a8c6e] to [78af5c9dd3].

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                "l2grams": list(self.a2grams)
            }, ensure_ascii=False))
            if bInJSModule:
                hDst.write(";\n\nexports.dictionary = dictionary;\n")

    def isValidToken (self, sToken):
        "checks if <sToken> is valid (if there is hyphens in <sToken>, <sToken> is split, each part is checked)"
        sToken = cp.spellingNormalization(sToken)
        if self.isValid(sToken):
            return True
        if "-" in sToken:
            if sToken.count("-") > 4:
                return True
            return all(self.isValid(sWord)  for sWord in sToken.split("-"))
        if "." in sToken or "·" in sToken:








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                "l2grams": list(self.a2grams)
            }, ensure_ascii=False))
            if bInJSModule:
                hDst.write(";\n\nexports.dictionary = dictionary;\n")

    def isValidToken (self, sToken):
        "checks if <sToken> is valid (if there is hyphens in <sToken>, <sToken> is split, each part is checked)"
        sToken = st.spellingNormalization(sToken)
        if self.isValid(sToken):
            return True
        if "-" in sToken:
            if sToken.count("-") > 4:
                return True
            return all(self.isValid(sWord)  for sWord in sToken.split("-"))
        if "." in sToken or "·" in sToken:
︙︙
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            iAddr = self._lookupArcNode(self.dChar[c], iAddr)
            if iAddr is None:
                return False
        return bool(int.from_bytes(self.byDic[iAddr:iAddr+self.nBytesArc], byteorder='big') & self._finalNodeMask)

    def getMorph (self, sWord):
        "retrieves morphologies list, different casing allowed"
        sWord = cp.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 = cp.spellingNormalization(sWord)
        sPfx, sWord, sSfx = cp.cut(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)
        if bSplitTrailingNumbers:








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            iAddr = self._lookupArcNode(self.dChar[c], iAddr)
            if iAddr is None:
                return False
        return bool(int.from_bytes(self.byDic[iAddr:iAddr+self.nBytesArc], byteorder='big') & self._finalNodeMask)

    def getMorph (self, sWord):
        "retrieves morphologies list, different casing allowed"
        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, sWord, sSfx = cp.cut(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)
        if bSplitTrailingNumbers:
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                    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"
        sWord = cp.spellingNormalization(sWord)
        c1 = sWord[0:1]  if sWord  else " "
        iPos = -1
        n = 0
        echo(c1 + ": ", end="")
        for c2, jAddr in self._getCharArcs(iAddr):
            echo(c2, end="")
            if c2 == sWord[0:1]:








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                    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"
        sWord = st.spellingNormalization(sWord)
        c1 = sWord[0:1]  if sWord  else " "
        iPos = -1
        n = 0
        echo(c1 + ": ", end="")
        for c2, jAddr in self._getCharArcs(iAddr):
            echo(c2, end="")
            if c2 == sWord[0:1]:
︙︙

Modified graphspell/str_transform.py from [452d0bdcef] to [e25e3e9b20]. 

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"""
Operations on strings:
- calculate distance between two strings
- transform strings with transformation codes
"""



from .char_player import distanceBetweenChars


#### Ngrams

def getNgrams (sWord, n=2):
    "return a list of Ngrams strings"
    return [ sWord[i:i+n]  for i in range(len(sWord)-n+1) ]















#### DISTANCE CALCULATIONS

def longestCommonSubstring (s1, s2):
    "longest common substring"
    # http://en.wikipedia.org/wiki/Longest_common_substring_problem






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"""
Operations on strings:
- calculate distance between two strings
- transform strings with transformation codes
"""

import unicodedata

from .char_player import distanceBetweenChars


#### 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) ]



#### WORD NORMALIZATION

_xTransCharsForSpelling = str.maketrans({
    'ſ': 's',  'ffi': 'ffi',  'ffl': 'ffl',  'ff': 'ff',  'ſt': 'ft',  'fi': 'fi',  'fl': 'fl',  'st': 'st'
})

def spellingNormalization (sWord):
    "nomalization NFC and removing ligatures"
    return unicodedata.normalize("NFC", sWord.translate(_xTransCharsForSpelling))



#### DISTANCE CALCULATIONS

def longestCommonSubstring (s1, s2):
    "longest common substring"
    # http://en.wikipedia.org/wiki/Longest_common_substring_problem
︙︙

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