Grammalecte  Check-in [d2cc0989db]

        // 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.nBestSuggLimit = Math.floor(nSuggLimit * 2);   // 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;

        # 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.nBestSuggLimit = floor(nSuggLimit * 2)     # 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)
        #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: