Python unicodedata.category方法代码示例

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _tokenize(self, text):
        if not self._cased:
            text = unicodedata.normalize('NFD', text)
            text = ''.join([ch for ch in text if unicodedata.category(ch) != 'Mn'])
            text = text.lower()
        spaced = ''
        for ch in text:
            if self._is_punctuation(ch) or self._is_cjk_character(ch):
                spaced += ' ' + ch + ' '
            elif self._is_space(ch):
                spaced += ' '
            elif ord(ch) == 0 or ord(ch) == 0xfffd or self._is_control(ch):
                continue
            else:
                spaced += ch
        tokens = []
        for word in spaced.strip().split():
            tokens += self._word_piece_tokenize(word)
        return tokens 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def normalizestr(string):
    """ Converts special characters like copyright,
        trademark signs to ascii name """
    # print("input: '{}'".format(string))
    input_string = string
    for mark, ascii_repl in unicode_marks(string):
        string = string.replace(mark, ascii_repl)

    rv = []
#    for c in unicodedata.normalize('NFKC', smart_text(string)):
    for c in unicodedata.normalize('NFKC', string):
        # cat = unicodedata.category(c)[0]
        # if cat in 'LN' or c in ok:
        rv.append(c)

    new = ''.join(rv).strip()
    result = unidecode(new)
    if result != input_string:
        print("Fixed string: '{}'".format(result))
    return result 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def deaccent(text):
    """
    Remove accentuation from the given string. Input text is either a unicode string or utf8 encoded bytestring.

    Return input string with accents removed, as unicode.

    >>> deaccent("Šéf chomutovských komunistů dostal poštou bílý prášek")
    u'Sef chomutovskych komunistu dostal postou bily prasek'

    """
    if not isinstance(text, unicode):
        # assume utf8 for byte strings, use default (strict) error handling
        text = text.decode('utf8')
    norm = unicodedata.normalize("NFD", text)
    result = u('').join(ch for ch in norm if unicodedata.category(ch) != 'Mn')
    return unicodedata.normalize("NFC", result) 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _is_punctuation(char):
    """Checks whether `chars` is a punctuation character."""
    cp = ord(char)
    # We treat all non-letter/number ASCII as punctuation.
    # Characters such as "^", "$", and "`" are not in the Unicode
    # Punctuation class but we treat them as punctuation anyways, for
    # consistency.
    if ((cp >= 33 and cp <= 47) or (cp >= 58 and cp <= 64) or
            (cp >= 91 and cp <= 96) or (cp >= 123 and cp <= 126)):
        return True
    cat = unicodedata.category(char)
    if cat.startswith("P"):
        return True
    return False

### modeling.py 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _run_strip_accents(self, text):
        """Strips accents from a piece of text."""
        # 这个函数去除掉text中的非间距字符

        # 标准化对于任何需要以一致的方式处理Unicode文本的程序都是非常重要的。
        # 当处理来自用户输入的字符串而你很难去控制编码的时候尤其如此。
        # normalize() 将文本标准化,第一个参数指定字符串标准化的方式,NFD表示字符应该分解为多个组合字符表示
        text = unicodedata.normalize("NFD", text)
        output = []
        for char in text:
            # category() 返回字符在UNICODE里分类的类型
            cat = unicodedata.category(char)
            if cat == "Mn":
                #  Mark, Nonspacing 指示字符是非间距字符，这指示基字符的修改。
                # https://www.fileformat.info/info/unicode/category/Mn/list.htm
                continue
            output.append(char)
        return "".join(output) 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def get_hgnc_id_from_symbol(gene_symbol):
        """
        Get HGNC curie from symbol using monarch and mygene services
        :param gene_symbol:
        :return:
        """
        monarch_url = 'https://solr.monarchinitiative.org/solr/search/select'
        params = DipperUtil._get_solr_weight_settings()
        params["q"] = "{0} \"{0}\"".format(gene_symbol)
        params["fq"] = ["taxon:\"NCBITaxon:9606\"", "category:\"gene\""]
        gene_id = None
        try:
            monarch_request = requests.get(monarch_url, params=params)
            response = monarch_request.json()
            count = response['response']['numFound']
            if count > 0:
                gene_id = response['response']['docs'][0]['id']
        except requests.ConnectionError:
            print("error fetching {0}".format(monarch_url))

        return gene_id 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _run_strip_accents(self, text):
        """Strips accents from a piece of text."""

        korean = "%s-%s%s-%s" % (chr(0xac00), chr(0xd7a3),
                                chr(0x3131), chr(0x3163))
        if re.search("[%s]+" % korean, text):
            return "".join(
                substr if re.search("^[%s]+$" % korean, substr)
                else self._run_strip_accents(substr)
                for substr in re.findall("[%s]+|[^%s]+" % (korean, korean), text)
            )

        text = unicodedata.normalize("NFD", text)
        output = []
        for char in text:
            cat = unicodedata.category(char)
            if cat == "Mn":
                continue
            output.append(char)
        return "".join(output) 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def encode_field(s):
  # Empty string converts to "".
  if s == "":
    return '""  '
  # Check whether the string contains any special characters.
  special = False
  if '"' in s or ' ' in s:
    special = True
  else:
    for c in s:
      if unicodedata.category(c)[0] == "C":
        special = True
        break
  if not special:
    return s
  # Quoted field is needed.
  f = '"'
  for c in s:
    if c in ESCAPE_SEQUENCES2:
      f += ESCAPE_SEQUENCES2[c]
      continue
    f += c
  return f + '"' 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def remove_accents(self, text):
		""" Normalise (normalize) unicode data in Python to remove umlauts, accents etc.

		Rule 10 - When special characters appear as part of the name, paternal surname and maternal surname,
		they must be excluded for the calculation of the homonym and the verification digit. 
		The characters will be interpreted, yes and only if, they are individually within the name,
		paternal surname and maternal surname. Examples:
			
		Roberto O’farril Carballo OACR-661121
		Rubén D’angelo Fargo DAFR-710108
		Luz Ma. Fernández Juárez FEJL-830120
		"""		 
		#s_no_accents = ''.join((c for c in unicodedata.normalize('NFD', text) if unicodedata.category(c) != 'Mn'))
		try:
			text = unicode(text, 'utf-8')
		except (TypeError, NameError): # unicode is a default on python 3 
			pass
		text = unicodedata.normalize('NFD', text)
		text = text.encode('ascii', 'ignore')
		text = text.decode("utf-8")
		return str(text) 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _run_strip_accents(self, text):
        """Strips accents from a piece of text."""
        text = unicodedata.normalize("NFD", text)
        output = []
        for char in text:
            cat = unicodedata.category(char)
            if cat == "Mn":
                continue
            output.append(char)
        return "".join(output) 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _is_whitespace(char):
    """Checks whether `chars` is a whitespace character."""
    # \t, \n, and \r are technically contorl characters but we treat them
    # as whitespace since they are generally considered as such.
    if char == " " or char == "\t" or char == "\n" or char == "\r":
        return True
    cat = unicodedata.category(char)
    if cat == "Zs":
        return True
    return False 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _is_control(char):
    """Checks whether `chars` is a control character."""
    # These are technically control characters but we count them as whitespace
    # characters.
    if char == "\t" or char == "\n" or char == "\r":
        return False
    cat = unicodedata.category(char)
    if cat.startswith("C"):
        return True
    return False 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def _is_punctuation(char):
    """Checks whether `chars` is a punctuation character."""
    cp = ord(char)
    # We treat all non-letter/number ASCII as punctuation.
    # Characters such as "^", "$", and "`" are not in the Unicode
    # Punctuation class but we treat them as punctuation anyways, for
    # consistency.
    if ((cp >= 33 and cp <= 47) or (cp >= 58 and cp <= 64) or
            (cp >= 91 and cp <= 96) or (cp >= 123 and cp <= 126)):
        return True
    cat = unicodedata.category(char)
    if cat.startswith("P"):
        return True
    return False 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def text_normalize(text):
    text = ''.join(char for char in unicodedata.normalize('NFD', text)
                           if unicodedata.category(char) != 'Mn') # Strip accents

    text = text.lower()
    text = re.sub("[^{}]".format(hp.vocab), " ", text)
    text = re.sub("[ ]+", " ", text)
    return text 

# 需要导入模块: import unicodedata [as 别名]
# 或者: from unicodedata import category [as 别名]
def text_normalize(text):
    text = ''.join(char for char in unicodedata.normalize('NFD', text)
                   if unicodedata.category(char) != 'Mn')  # Strip accents

    text = text.lower()
    text = re.sub("[^{}]".format(hp.vocab), " ", text)
    text = re.sub("[ ]+", " ", text)
    return text