Grammalecte  Check-in [b5a5b6b161]

    if "‑" in sText:
        sText = sText.replace("‑", "-") # nobreakdash

    # parse sentences
    for iStart, iEnd in _getSentenceBoundaries(sText):
        if 4 < (iEnd - iStart) < 2000:
            try:
                oSentence = TokenSentence(sText[iStart:iEnd], sRealText[iStart:iEnd], iStart)
                oSentence = TextParser(sText[iStart:iEnd], sRealText[iStart:iEnd], iStart)
                _, dErrors = _proofread(oSentence, sText[iStart:iEnd], sRealText[iStart:iEnd], iStart, False, dErrors, dPriority, sCountry, dOpt, bShowRuleId, bDebug, bContext)
            except:
                raise
    return dErrors.values() # this is a view (iterable)


def _proofread (oSentence, s, sx, nOffset, bParagraph, dErrors, dPriority, sCountry, dOptions, bShowRuleId, bDebug, bContext):

        return True
    dTokenPos[nPos]["lMorph"] = lMorph
    return True




#### TOKEN SENTENCE CHECKER
#### TEXT PARSER

class TokenSentence:
class TextParser:
    "Text parser"

    def __init__ (self, sSentence, sSentence0, nOffset):
        self.sSentence = sSentence
        self.sSentence0 = sSentence0
        self.nOffsetWithinParagraph = nOffset
        self.lToken = list(_oTokenizer.genTokens(sSentence, True))
        self.dTokenPos = { dToken["nStart"]: dToken  for dToken in self.lToken  if dToken["sType"] != "INFO" }
        self.dTags = {}
        self.dError = {}

    def __str__ (self):
        s = "TEXT ==========\n"
        s = "sentence: " + self.sSentence0 + "\n"
        s += "sentence: " + self.sSentence0 + "\n"
        s += "now:      " + self.sSentence  + "\n"
        for dToken in self.lToken:
            s += f'{dToken["nStart"]}\t{dToken["nEnd"]}\t{dToken["sValue"]}'
            if "lMorph" in dToken:
                s += "\t" + str(dToken["lMorph"])
            s += "\n"
        for nPos, dToken in self.dTokenPos.items():

                                continue
                            if not sPattern or any(re.search(sPattern, sMorph)  for sMorph in _oSpellChecker.getMorph(dToken["sValue"])):
                                if bDebug:
                                    print("  MATCH: @" + sRegex)
                                yield dGraph[dNode["<re_morph>"][sRegex]]
        # token tags
        if "tags" in dToken and "<tags>" in dNode:
            for sTag in dNode["<tags>"]:
                if sTag in dToken["tags"]:
            for sTag in dToken["tags"]:
                if sTag in dNode["<tags>"]:
                    if bDebug:
                        print("  MATCH: /" + sTag)
                    yield dGraph[dNode["<tags>"][sTag]]
        # meta arc (for token type)
        if "<meta>" in dNode:
            for sMeta in dNode["<meta>"]:
                # not regex here, we just search if <dNode["sType"]> exists within <sMeta>

                                if bDebug:
                                    print("  COND_OK")
                                pass
                            elif cActionType == "/":
                                if bDebug:
                                    print("  SEMANTIC_TAG:\n  ", dRule[sRuleId])
                                nTokenStart = nTokenOffset + eAct[0]
                                nTokenEnd = nTokenOffset + eAct[1]
                                nTokenEnd = nTokenOffset + (eAct[1]  if eAct[1]  else eAct[0])
                                for i in range(nTokenStart, nTokenEnd+1):
                                    if "tags" in self.lToken[i]:
                                        self.lToken[i]["tags"].update(sWhat.split("|"))
                                    else:
                                        self.lToken[i]["tags"] = set(sWhat.split("|"))
                            elif cActionType == "%":
                                # sentence tags