Grammalecte  Check-in [6c8c1776f5]

    'œ': 'oe',  'æ': 'ae', 
})

def cleanWord (sWord):
    "word simplication before calculating distance between words"
    return sWord.lower().translate(_xTransChars).replace("eau", "o").replace("au", "o")




















































































































# Similar chars

d1to1 = {
    "1": "liîLIÎ",
    "2": "zZ",
    "3": "eéèêEÉÈÊ",

        fStart = time.time()
        result = func(*args, **kwargs)
        fEnd = time.time()
        print(func.__name__, fEnd - fStart)
        return result
    return wrapper


class SuggResult:

    def __init__ (self, sWord, nDistLimit=-1):
        self.sWord = sWord
        self.sCleanWord = cp.cleanWord(sWord)
        self.nDistLimit = nDistLimit  if nDistLimit >= 0  else  (len(sWord) // 3) + 1
        self.nMinDist = 1000
        self.nMaxDist = 0
        self.aSugg = set()
        self.dSugg = { 0: [],  1: [],  2: [] }

    def addSugg (self, sSugg, nDeep=0):
        "add a suggestion"
        if sSugg not in self.aSugg:
            nDist = st.distanceSift4(self.sCleanWord, cp.cleanWord(sSugg))
            if nDist <= self.nDistLimit:
                if nDist not in self.dSugg:
                    self.dSugg[nDist] = []
                self.dSugg[nDist].append(sSugg)
                logging.info((nDeep * "  ") + "__" + sSugg + "__")
                if nDist > self.nMaxDist:
                    self.nMaxDist = nDist
                if nDist < self.nMinDist:
                    self.nMinDist = nDist
                self.nDistLimit = min(self.nDistLimit, self.nMinDist+2)

    def getSuggestions (self, nSuggLimit=10, nDistLimit=-1):
        "return a list of suggestions"
        lRes = []
        for lSugg in self.dSugg.values():
            lRes.extend(lSugg)
            if len(lRes) > nSuggLimit:
                break
        lRes = list(cp.filterSugg(lRes))
        if self.sWord.istitle():
            lRes = list(map(lambda sSugg: sSugg.title(), lRes))
        return lRes[:nSuggLimit]


class IBDAWG:
    """INDEXABLE BINARY DIRECT ACYCLIC WORD GRAPH"""

    def __init__ (self, sDicName):
        self.by = pkgutil.get_data(__package__, "_dictionaries/" + sDicName)
        if not self.by:

        if sWord.istitle():
            aSugg.update(self._suggest(sWord.lower(), nMaxDel=nMaxDel, nMaxHardRepl=nMaxHardRepl))
            aSugg = set(map(lambda sSugg: sSugg.title(), aSugg))
        elif sWord.islower():
            aSugg.update(self._suggest(sWord.title(), nMaxDel=nMaxDel, nMaxHardRepl=nMaxHardRepl))
        aSugg = cp.filterSugg(aSugg)
        sCleanWord = cp.cleanWord(sWord)
        aSugg = sorted(aSugg, key=lambda sSugg: st.distanceDamerauLevenshtein(sCleanWord, cp.cleanWord(sSugg)))[:nMaxSugg]
        if sSfx or sPfx:
            # we add what we removed
            return list(map(lambda sSug: sPfx + sSug + sSfx, aSugg))
        return aSugg

    def _suggest (self, sRemain, nMaxDel=0, nMaxHardRepl=0, nDeep=0, iAddr=0, sNewWord="", sAction="", bAvoidLoop=False):
        "returns a set of suggestions"

                    aSugg.update(self._suggest(sRepl, nMaxDel, nMaxHardRepl, nDeep+1, iAddr, sNewWord, sRemain + " >> " + sRepl, True))
        return aSugg

    @timethis
    def suggest2 (self, sWord, nMaxSugg=10):
        "returns a set of suggestions for <sWord>"
        sPfx, sWord, sSfx = cp.cut(sWord)
        oSuggResult = SuggResult(sWord)

        self._suggest2(oSuggResult)





        aSugg = oSuggResult.getSuggestions()

        if sSfx or sPfx:
            # we add what we removed
            return list(map(lambda sSug: sPfx + sSug + sSfx, aSugg))
        return aSugg

    def _suggest2 (self, oSuggResult, nDeep=0, iAddr=0, sNewWord=""):
        #logging.info((nDeep * "  ") + sNewWord)
        if nDeep >= oSuggResult.nDistLimit:
            sCleanNewWord = cp.cleanWord(sNewWord)
            if st.distanceSift4(oSuggResult.sCleanWord[:len(sCleanNewWord)], sCleanNewWord) > oSuggResult.nDistLimit:
                return

        if int.from_bytes(self.byDic[iAddr:iAddr+self.nBytesArc], byteorder='big') & self._finalNodeMask:
            #logging.info((nDeep * "  ") + "__" + sNewWord + "__")


            oSuggResult.addSugg(sNewWord, nDeep)
        for cChar, jAddr in self._getCharArcs(iAddr):
            self._suggest2(oSuggResult, nDeep+1, jAddr, sNewWord+cChar)
        return

    def _getCharArcs (self, iAddr):
        "generator: yield all chars and addresses from node at address <iAddr>"
        for nVal, jAddr in self._getArcs(iAddr):
            if nVal < self.nChar:
                yield (self.dCharVal[nVal], jAddr)

#!python3


#### DISTANCE CALCULATIONS

def longestCommonSubstring (s1, s2):
    # http://en.wikipedia.org/wiki/Longest_common_substring_problem
    # http://en.wikibooks.org/wiki/Algorithm_implementation/Strings/Longest_common_substring
    M = [ [0]*(1+len(s2)) for i in range(1+len(s1)) ]
    longest, x_longest = 0, 0
    for x in range(1, 1+len(s1)):
        for y in range(1, 1+len(s2)):
            if s1[x-1] == s2[y-1]:
                M[x][y] = M[x-1][y-1] + 1
                if M[x][y] > longest:
                    longest = M[x][y]
                    x_longest = x
            else:
                M[x][y] = 0
    return s1[x_longest-longest : x_longest]


def distanceDamerauLevenshtein (s1, s2):
    "distance of Damerau-Levenshtein between <s1> and <s2>"
    # https://fr.wikipedia.org/wiki/Distance_de_Damerau-Levenshtein
    d = {}
    nLen1 = len(s1)
    nLen2 = len(s2)
    for i in range(-1, nLen1+1):
        d[i, -1] = i + 1
    for j in range(-1, nLen2+1):
        d[-1, j] = j + 1
    for i in range(nLen1):
        for j in range(nLen2):
            nCost = 0  if s1[i] == s2[j]  else 1
            d[i, j] = min(
                d[i-1, j]   + 1,        # Deletion
                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:
        return len(s1)
    nLen1, nLen2 = len(s1), len(s2)
    i1, i2 = 0, 0   # Cursors for each string
    nLargestCS = 0  # Largest common substring
    nLocalCS = 0    # Local common substring
    nTrans = 0      # Number of transpositions ('ab' vs 'ba')
    lOffset = []    # Offset pair array, for computing the transpositions
 
    while i1 < nLen1 and i2 < nLen2:
        if s1[i1] == s2[i2]:
            nLocalCS += 1
            # Check if current match is a transposition
            bTrans = False
            i = 0
            while i < len(lOffset):
                t = lOffset[i]
                if i1 <= t[0] or i2 <= t[1]:
                    bTrans = abs(i2-i1) >= abs(t[1] - t[0])
                    if bTrans:
                        nTrans += 1
                    elif not t[2]:
                        t[2] = True
                        nTrans += 1
                    break
                elif i1 > t[1] and i2 > t[0]:
                    del lOffset[i]
                else:
                    i += 1
            lOffset.append([i1, i2, bTrans])
        else:
            nLargestCS += nLocalCS
            nLocalCS = 0
            if i1 != i2:
                i1 = i2 = min(i1, i2)
            for i in range(nMaxOffset):
                if i1 + i >= nLen1 and i2 + i >= nLen2:
                    break
                elif i1 + i < nLen1 and s1[i1+i] == s2[i2]:
                    i1 += i - 1
                    i2 -= 1
                    break
                elif i2 + i < nLen2 and s1[i1] == s2[i2+i]:
                    i2 += i - 1
                    i1 -= 1
                    break
        i1 += 1
        i2 += 1
        if i1 >= nLen1 or i2 >= nLen2:
            nLargestCS += nLocalCS
            nLocalCS = 0
            i1 = i2 = min(i1, i2)
    nLargestCS += nLocalCS
    return round(max(nLen1, nLen2) - nLargestCS + nTrans)


def showDistance (s1, s2):
    print(f"Damerau-Levenshtein: {s1} / {s2} = {distanceDamerauLevenshtein(s1, s2)}")
    print(f"Sift4: {s1} / {s2} = {distanceSift4(s1, s2)}")




#### STEMMING OPERATIONS

## No stemming

def noStemming (sFlex, sStem):
    return sStem

def rebuildWord (sFlex, cmd1, cmd2):
    if cmd1 == "_":

        return "0"
    jSfx = 0
    for i in range(min(len(sFlex), len(sStem))):
        if sFlex[i] != sStem[i]:
            break
        jSfx += 1
    return chr(len(sFlex)-jSfx+48) + sStem[jSfx:]  


def changeWordWithSuffixCode (sWord, sSfxCode):
    if sSfxCode == "0":
        return sWord
    return sWord[:-(ord(sSfxCode[0])-48)] + sSfxCode[1:]  if sSfxCode[0] != '0'  else sWord + sSfxCode[1:]


# Prefix and suffix

def defineAffixCode (sFlex, sStem):
    """ Returns a string defining how to get stem from flexion. Examples:
            "0" if stem = flexion
            "stem" if no common substring
            "n(pfx)/m(sfx)"
        with n and m: chars with numeric meaning, "0" = 0, "1" = 1, ... ":" = 10, etc. (See ASCII table.) Says how many letters to strip from flexion.
            pfx [optional]: string to add before the flexion 

        n = sFlex.find(sSubs)
        m = len(sFlex) - (len(sSubs)+n)
        sAff = "{}/".format(chr(n+48))  if not sPfx  else "{}{}/".format(chr(n+48), sPfx)
        sAff += chr(m+48)  if not sSfx  else "{}{}".format(chr(m+48), sSfx)
        return sAff
    return sStem

















def changeWordWithAffixCode (sWord, sAffCode):
    if sAffCode == "0":
        return sWord
    if '/' not in sAffCode:
        return "# error #"
    sPfxCode, sSfxCode = sAffCode.split('/')
    sWord = sPfxCode[1:] + sWord[(ord(sPfxCode[0])-48):] 
    return sWord[:-(ord(sSfxCode[0])-48)] + sSfxCode[1:]  if sSfxCode[0] != '0'  else sWord + sSfxCode[1:]