


"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


UpperCAmelCase   =	logging.get_logger(__name__)

UpperCAmelCase   =	{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase   =	{
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json""",
    },
}




class   lowercase__							(				A_							):





   def __init__(       self			,      SCREAMING_SNAKE_CASE=None			,      SCREAMING_SNAKE_CASE=None			,      SCREAMING_SNAKE_CASE=False			,      SCREAMING_SNAKE_CASE=True			,      SCREAMING_SNAKE_CASE=False			,      SCREAMING_SNAKE_CASE="<s>"			,      SCREAMING_SNAKE_CASE="</s>"			,      SCREAMING_SNAKE_CASE="<unk>"			,      SCREAMING_SNAKE_CASE="<sep>"			,      SCREAMING_SNAKE_CASE="<pad>"			,      SCREAMING_SNAKE_CASE="<cls>"			,      SCREAMING_SNAKE_CASE="<mask>"			,      SCREAMING_SNAKE_CASE=["<eop>", "<eod>"]			,      **SCREAMING_SNAKE_CASE			,      )     ->     Optional[Any]:
      _lowerCamelCase  :				Tuple      =		AddedToken(SCREAMING_SNAKE_CASE			,      lstrip=SCREAMING_SNAKE_CASE			,      rstrip=SCREAMING_SNAKE_CASE) if isinstance(SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE) else mask_token

      super().__init__(
          vocab_file=SCREAMING_SNAKE_CASE			,      tokenizer_file=SCREAMING_SNAKE_CASE			,      do_lower_case=SCREAMING_SNAKE_CASE			,      remove_space=SCREAMING_SNAKE_CASE			,      keep_accents=SCREAMING_SNAKE_CASE			,      bos_token=SCREAMING_SNAKE_CASE			,      eos_token=SCREAMING_SNAKE_CASE			,      unk_token=SCREAMING_SNAKE_CASE			,      sep_token=SCREAMING_SNAKE_CASE			,      pad_token=SCREAMING_SNAKE_CASE			,      cls_token=SCREAMING_SNAKE_CASE			,      mask_token=SCREAMING_SNAKE_CASE			,      additional_special_tokens=SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE			,      )

      _lowerCamelCase  :				List[Any]      =		3
      _lowerCamelCase  :				str      =		do_lower_case
      _lowerCamelCase  :				str      =		remove_space
      _lowerCamelCase  :				Optional[int]      =		keep_accents
      _lowerCamelCase  :				Dict      =		vocab_file
      _lowerCamelCase  :				List[str]      =		False if not self.vocab_file else True

      try:
         import jieba
      except ModuleNotFoundError as error:
         raise error.__class__(
             """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
             """See https://pypi.org/project/jieba/ for installation.""")
      _lowerCamelCase  :				Optional[int]      =		jieba
      _lowerCamelCase  :				Optional[Any]      =		str.maketrans(""" \n"""			,      """\u2582\u2583""")





   def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     List[int]:
      _lowerCamelCase  :				List[str]      =		[self.sep_token_id]
      _lowerCamelCase  :				Union[str, Any]      =		[self.cls_token_id]
      if token_ids_a is None:
         return token_ids_a + sep + cls
      return token_ids_a + sep + token_ids_a + sep + cls





   def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     List[int]:
      _lowerCamelCase  :				Tuple      =		[self.sep_token_id]
      _lowerCamelCase  :				Union[str, Any]      =		[2]

      if token_ids_a is None:
         return len(token_ids_a + sep) * [0] + cls_segment_id
      return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1] + cls_segment_id





   def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     Tuple[str]:
      if not self.can_save_slow_tokenizer:
         raise ValueError(
             """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
             """tokenizer.""")

      if not os.path.isdir(SCREAMING_SNAKE_CASE):
         logger.error(F'Vocabulary path ({save_directory}) should be a directory')
         return
      _lowerCamelCase  :				Optional[Any]      =		os.path.join(
          SCREAMING_SNAKE_CASE			,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

      if os.path.abspath(self.vocab_file) != os.path.abspath(SCREAMING_SNAKE_CASE):
         copyfile(self.vocab_file			,      SCREAMING_SNAKE_CASE)

      return (out_vocab_file,)





   def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      *SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)     ->     Optional[int]:
      _lowerCamelCase  :				List[Any]      =		[
          """ """.join([x.translate(self.translator) for x in self.jieba.cut(SCREAMING_SNAKE_CASE			,      cut_all=SCREAMING_SNAKE_CASE)])
          for text in batch_text_or_text_pairs
      ]
      return super()._batch_encode_plus(SCREAMING_SNAKE_CASE			,      *SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_     (       self			,      *SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)     ->     Union[str, Any]:
      _lowerCamelCase  :				Optional[int]      =		super()._decode(*SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)
      _lowerCamelCase  :				Tuple      =		text.replace(""" """			,      """""").replace("""\u2582"""			,      """ """).replace("""\u2583"""			,      """\n""")
      return text





"""simple docstring"""
import os

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

from .logging import get_logger


UpperCAmelCase   =	2 << 20  # 2mb
UpperCAmelCase   =	get_logger(__name__)




class   lowercase__							(				A_							):





   def 		UpperCamelCase_     (       self)     ->     Dict:
      _lowerCamelCase  :				Tuple      =		self._options.get_all_options().get("""runner""")
      return runner in [None, "DirectRunner", "PortableRunner"]







def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Any=False      ):




   """simple docstring"""







   _lowerCamelCase  :				Any      =		FileSystems
   if fs.exists(__snake_case      ):
      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(__snake_case      ) as remote_file:
      with open(__snake_case	,   """rb"""      ) as local_file:
         _lowerCamelCase  :				Optional[Any]      =		local_file.read(__snake_case      )
         while chunk:
            remote_file.write(__snake_case      )
            _lowerCamelCase  :				Tuple      =		local_file.read(__snake_case      )





def 							_snake_case			(      __snake_case       :			Union[str, Any]	,   __snake_case       :			List[Any]	,   __snake_case       :			Union[str, Any]=False      ):




   """simple docstring"""







   _lowerCamelCase  :				int      =		FileSystems
   if os.path.exists(__snake_case      ):
      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(__snake_case      ) as remote_file:
      with open(__snake_case	,   """wb"""      ) as local_file:
         _lowerCamelCase  :				str      =		remote_file.read(__snake_case      )
         while chunk:
            local_file.write(__snake_case      )
            _lowerCamelCase  :				Any      =		remote_file.read(__snake_case      )

