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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)
self._splitSuggest(oSuggResult, sWord)
self._suggest(oSuggResult, sWord, nMaxSwitch, nMaxDel, nMaxHardRepl, nMaxJump)
aSugg = oSuggResult.getSuggestions(nSuggLimit)
if sSfx or sPfx:
# we add what we removed
return list(map(lambda sSug: sPfx + sSug + sSfx, aSugg))
return aSugg
def _splitSuggest (self, oSuggResult, sWord):
for cSplitter in "'’":
if cSplitter in sWord:
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 not sRemain:
if int.from_bytes(self.byDic[iAddr:iAddr+self.nBytesArc], byteorder='big') & self._finalNodeMask:
oSuggResult.addSugg(sNewWord, nDeep)
for sTail in self._getTails(iAddr):
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