Python regex.U屬性代碼示例

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def validate_empty_node_empty_vals(cols):
    """
    Checks that an empty node has _ empty values in HEAD and DEPREL. This is
    required by UD guidelines but not necessarily by CoNLL-U, therefore
    a level 2 test.
    """
    assert is_empty_node(cols), 'internal error'
    for col_idx in (HEAD, DEPREL):
        if cols[col_idx]!= '_':
            testlevel = 2
            testclass = 'Format'
            testid = 'mwt-nonempty-field'
            testmessage = "An empty node must have '_' in the column %s. Now: '%s'." % (COLNAMES[col_idx], cols[col_idx])
            warn(testmessage, testclass, testlevel=testlevel, testid=testid)

# Ll ... lowercase Unicode letters
# Lm ... modifier Unicode letters (e.g., superscript h)
# Lo ... other Unicode letters (all caseless scripts, e.g., Arabic)
# M .... combining diacritical marks
# Underscore is allowed between letters but not at beginning, end, or next to another underscore. 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def __init__(self, arpabet='arpabet', ligatures=False, cedict_file=None):
        """Construct a Flite "wrapper"

        Args:
            arpabet (str): file containing ARPAbet to IPA mapping
            ligatures (bool): if True, use non-standard ligatures instead of
                              standard IPA
            cedict_filename (str): path to CC-CEDict dictionary (included for
                                   compatibility)
        """
        arpabet = pkg_resources.resource_filename(__name__, os.path.join('data', arpabet + '.csv'))
        self.arpa_map = self._read_arpabet(arpabet)
        self.chunk_re = re.compile(r"([A-Za-z'’]+|[^A-Za-z'’]+)", re.U)
        self.letter_re = re.compile(r"[A-Za-z'’]+")
        self.regexp = re.compile(r'[A-Za-z]')
        self.puncnorm = PuncNorm()
        self.ligatures = ligatures
        self.ft = panphon.FeatureTable()
        self.num_panphon_fts = len(self.ft.names) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def _get_simplifications(self, settings=None):
        no_word_spacing = eval(self.info.get('no_word_spacing', 'False'))
        if settings.NORMALIZE:
            if self._normalized_simplifications is None:
                self._normalized_simplifications = []
                simplifications = self._generate_simplifications(normalize=True)
                for simplification in simplifications:
                    pattern, replacement = list(simplification.items())[0]
                    if not no_word_spacing:
                        pattern = r'(?<=\A|\W|_)%s(?=\Z|\W|_)' % pattern
                    pattern = re.compile(pattern, flags=re.I | re.U)
                    self._normalized_simplifications.append({pattern: replacement})
            return self._normalized_simplifications

        else:
            if self._simplifications is None:
                self._simplifications = []
                simplifications = self._generate_simplifications(normalize=False)
                for simplification in simplifications:
                    pattern, replacement = list(simplification.items())[0]
                    if not no_word_spacing:
                        pattern = r'(?<=\A|\W|_)%s(?=\Z|\W|_)' % pattern
                    pattern = re.compile(pattern, flags=re.I | re.U)
                    self._simplifications.append({pattern: replacement})
            return self._simplifications 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def lspec2ud(deprel):
    return deprel.split(':', 1)[0]



#==============================================================================
# Level 1 tests. Only CoNLL-U backbone. Values can be empty or non-UD.
#============================================================================== 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def shape(word: str) -> str:  # TODO zredukowac czas
    word = regex.sub(r'(?V1)\p{Lowercase}', 'l', word, flags=regex.U)  # 80%
    word = regex.sub(r'(?V1)\p{Uppercase}', 'u', word, flags=regex.U)
    word = regex.sub(r'\p{gc=Decimal_Number}', 'd', word, flags=regex.U)
    word = regex.sub(r'[^A-Za-z0-9]', 'x', word, flags=regex.LOCALE)
    return unix_uniq(word) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def _fields_to_function_metathesis(self, a, X, Y):
        left = r'(?P<X>{}){}(?P<Y>{})'.format(X, a, Y)
        regexp = re.compile(left)

        def rewrite(m):
            d = {k: none2str(v) for k, v in m.groupdict().items()}
            return '{}{}{}{}'.format(d['X'], d['sw2'], d['sw1'], d['Y'])

        return lambda w: regexp.sub(rewrite, w, re.U) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def _fields_to_function(self, a, b, X, Y):
        left = r'(?P<X>{})(?P<a>{})(?P<Y>{})'.format(X, a, Y)
        regexp = re.compile(left)

        def rewrite(m):
            d = {k: none2str(v) for k, v in m.groupdict().items()}
            return '{}{}{}'.format(d['X'], b, d['Y'])

        return lambda w: regexp.sub(rewrite, w, re.U) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def __init__(self, infile=sys.stdin):
        """Validate Unicode IPA from file relative to panphon database.

        infile -- File from which input is taken; by default, STDIN.
        """
        self.ws_punc_regex = re.compile(r'[," \t\n]', re.V1 | re.U)
        self.ft = panphon.FeatureTable()
        self._validate_file(infile) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def add_rule(self, pattern, css_class):
        """Add a new rule.

        Parameters
        ----------
        pattern: str
            Pattern that is compiled to a regular expression.
        css_class: str
            The class that will corresponds to given pattern.
        """
        #print('adding rule <{0}> <{1}>'.format(pattern, css_class))
        self.__patterns.append(re.compile(pattern, flags=re.U | re.M))
        self.__css_classes.append(css_class) 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def validate_cols_level1(cols):
    """
    Tests that can run on a single line and pertain only to the CoNLL-U file
    format, not to predefined sets of UD tags.
    """
    testlevel = 1
    testclass = 'Format'
    # Some whitespace may be permitted in FORM, LEMMA and MISC but not elsewhere.
    for col_idx in range(MISC+1):
        if col_idx >= len(cols):
            break # this has been already reported in trees()
        # Must never be empty
        if not cols[col_idx]:
            testid = 'empty-column'
            testmessage = 'Empty value in column %s.' % (COLNAMES[col_idx])
            warn(testmessage, testclass, testlevel=testlevel, testid=testid)
        else:
            # Must never have leading/trailing whitespace
            if cols[col_idx][0].isspace():
                testid = 'leading-whitespace'
                testmessage = 'Leading whitespace not allowed in column %s.' % (COLNAMES[col_idx])
                warn(testmessage, testclass, testlevel=testlevel, testid=testid)
            if cols[col_idx][-1].isspace():
                testid = 'trailing-whitespace'
                testmessage = 'Trailing whitespace not allowed in column %s.' % (COLNAMES[col_idx])
                warn(testmessage, testclass, testlevel=testlevel, testid=testid)
            # Must never contain two consecutive whitespace characters
            if whitespace2_re.match(cols[col_idx]):
                testid = 'repeated-whitespace'
                testmessage = 'Two or more consecutive whitespace characters not allowed in column %s.' % (COLNAMES[col_idx])
                warn(testmessage, testclass, testlevel=testlevel, testid=testid)
    # These columns must not have whitespace
    for col_idx in (ID,UPOS,XPOS,FEATS,HEAD,DEPREL,DEPS):
        if col_idx >= len(cols):
            break # this has been already reported in trees()
        if whitespace_re.match(cols[col_idx]):
            testid = 'invalid-whitespace'
            testmessage = "White space not allowed in column %s: '%s'." % (COLNAMES[col_idx], cols[col_idx])
            warn(testmessage, testclass, testlevel=testlevel, testid=testid)
    # Check for the format of the ID value. (ID must not be empty.)
    if not (is_word(cols) or is_empty_node(cols) or is_multiword_token(cols)):
        testid = 'invalid-word-id'
        testmessage = "Unexpected ID format '%s'." % cols[ID]
        warn(testmessage, testclass, testlevel=testlevel, testid=testid)

##### Tests applicable to the whole tree 

# 需要導入模塊: import regex [as 別名]
# 或者: from regex import U [as 別名]
def split_by_regex(self, regex_or_pattern, flags=re.U, gaps=True):
        """Split the text into multiple instances using a regex.

        Parameters
        ----------
        regex_or_pattern: str or compiled pattern
            The regular expression to use for splitting.
        flags: int (default: re.U)
            The regular expression flags (only used, when user has not supplied compiled regex).
        gaps: boolean (default: True)
            If True, then regions matched by the regex are not included in the resulting Text instances, which
            is expected behaviour.
            If False, then only regions matched by the regex are included in the result.

        Returns
        -------
        list of Text
            The Text instances obtained by splitting.
        """

        text = self[TEXT]
        regex = regex_or_pattern
        if isinstance(regex, six.string_types):
            regex = re.compile(regex_or_pattern, flags=flags)
        # else is assumed pattern
        last_end = 0
        spans = []
        if gaps: # tag cap spans
            for mo in regex.finditer(text):
                start, end = mo.start(), mo.end()
                if start > last_end:
                    spans.append((last_end, start))
                last_end = end
            if last_end < len(text):
                spans.append((last_end, len(text)))
        else: # use matched regions
            spans = [(mo.start(), mo.end()) for mo in regex.finditer(text)]
        return self.split_given_spans(spans)

    # ///////////////////////////////////////////////////////////////////
    # DIVIDING
    # ///////////////////////////////////////////////////////////////////