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def addSugg (self, sSugg, nDeep=0):
"add a suggestion"
if sSugg in self.aAllSugg:
return
self.aAllSugg.add(sSugg)
nDistJaro = 1 - st.distanceJaroWinkler(self.sSimplifiedWord, st.simplifyWord(sSugg))
nDist = floor(nDistJaro * 10)
if nDist < self.nMinDist:
self.nMinDist = nDist
#logging.info((nDeep * " ") + "__" + sSugg + "__ " + str(round(nDistJaro*1000)))
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)
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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)
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))
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