


from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers



class 					__lowerCamelCase	:







       def __init__(	self:				int,A_:				Union[str, Any]			):






            '''simple docstring'''




            __UpperCamelCase				=	vocab
            __UpperCamelCase				=	normalizers.BertNormalizer(
                clean_text=A_,handle_chinese_chars=A_,strip_accents=A_,lowercase=A_,)
            try:
                 import rjieba
            except ImportError:
                 raise ImportError(
                     'You need to install rjieba to use RoFormerTokenizer. '
                     'See https://pypi.org/project/rjieba/ for installation.'			)
            __UpperCamelCase				=	rjieba







       def 						snake_case_					(	self:				Optional[Any],A_:				int,A_:				NormalizedString			):






            '''simple docstring'''




            __UpperCamelCase				=	[]

            # this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
            for token, start, end in self.jieba.tokenize(str(A_			),hmm=A_			):
                 if token in self.vocab:
                      splits.append(normalized_string[start:end]			)
                 else:
                      __UpperCamelCase				=	self.normalizers.normalize_str(A_			).split()
                      for token in token_list:
                           if token:
                                __UpperCamelCase				=	start + len(A_			)
                                splits.append(normalized_string[start:end]			)
                                __UpperCamelCase				=	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

            return splits







       def 						snake_case_					(	self:				Any,A_:				PreTokenizedString			):






            '''simple docstring'''




            pretok.split(self.jieba_split			)






import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


__snake_case     =		2 << 2_0  # 2mb
__snake_case     =		get_logger(__name__)



class 					__lowerCamelCase	(_a		):







       def 						snake_case_					(	self:				Optional[Any]			):






            '''simple docstring'''




            __UpperCamelCase				=	self._options.get_all_options().get('runner'			)
            return runner in [None, "DirectRunner", "PortableRunner"]






def 						_A						(						_lowercase			,       _lowercase			,       _lowercase=False				)			->				List[Any]:


     """simple docstring"""


     __UpperCamelCase				=	FileSystems
     if fs.exists(_lowercase				):
          if force_upload:
               logger.info(f'''Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''				)
          else:
               logger.info(f'''Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'''				)
               return
     with fs.create(_lowercase				) as remote_file:
          with open(_lowercase			,       'rb'				) as local_file:
               __UpperCamelCase				=	local_file.read(_lowercase				)
               while chunk:
                    remote_file.write(_lowercase				)
                    __UpperCamelCase				=	local_file.read(_lowercase				)






def 						_A						(						_lowercase			,       _lowercase			,       _lowercase=False				)			->				Optional[Any]:


     """simple docstring"""


     __UpperCamelCase				=	FileSystems
     if os.path.exists(_lowercase				):
          if force_download:
               logger.info(f'''Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'''				)
          else:
               logger.info(f'''Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'''				)
               return
     with fs.open(_lowercase				) as remote_file:
          with open(_lowercase			,       'wb'				) as local_file:
               __UpperCamelCase				=	remote_file.read(_lowercase				)
               while chunk:
                    local_file.write(_lowercase				)
                    __UpperCamelCase				=	remote_file.read(_lowercase				)


