import os
from shutil import copyfile
from typing import List, Optional, Tuple

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


_SCREAMING_SNAKE_CASE     =     logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE     =     {
    """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        UpperCAmelCase_					(				_a     ):




    def __init__(       self	: List[Any]   ,   lowerCAmelCase	: Union[str, Any]=None   ,   lowerCAmelCase	: str=None   ,   lowerCAmelCase	: int=False   ,   lowerCAmelCase	: int=True   ,   lowerCAmelCase	: Any=False   ,   lowerCAmelCase	: int="<s>"   ,   lowerCAmelCase	: str="</s>"   ,   lowerCAmelCase	: Tuple="<unk>"   ,   lowerCAmelCase	: Dict="<sep>"   ,   lowerCAmelCase	: List[str]="<pad>"   ,   lowerCAmelCase	: Union[str, Any]="<cls>"   ,   lowerCAmelCase	: int="<mask>"   ,   lowerCAmelCase	: str=["<eop>", "<eod>"]   ,   **lowerCAmelCase	: str   ,   )						->			Dict:
      a__  		=  AddedToken(__lowercase   ,   lstrip=__lowercase   ,   rstrip=__lowercase ) if isinstance(__lowercase   ,   __lowercase ) else mask_token

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

      a__  		=  3
      a__  		=  do_lower_case
      a__  		=  remove_space
      a__  		=  keep_accents
      a__  		=  vocab_file
      a__  		=  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." )
      a__  		=  jieba
      a__  		=  str.maketrans(" \n"   ,   "\u2582\u2583" )




    def     __lowerCamelCase			(       self	: str   ,   lowerCAmelCase	: Any   ,   lowerCAmelCase	: str = None )						->			int:
      a__  		=  [self.sep_token_id]
      a__  		=  [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     __lowerCamelCase			(       self	: List[Any]   ,   lowerCAmelCase	: Union[str, Any]   ,   lowerCAmelCase	: int = None )						->			Union[str, Any]:
      a__  		=  [self.sep_token_id]
      a__  		=  [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     __lowerCamelCase			(       self	: List[str]   ,   lowerCAmelCase	: str   ,   lowerCAmelCase	: int = None )						->			Union[str, Any]:




      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(__lowercase ):
        logger.error(f"Vocabulary path ({save_directory}) should be a directory" )
        return
      a__  		=  os.path.join(
          __lowercase   ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

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

      return (out_vocab_file,)




    def     __lowerCamelCase			(       self	: int   ,   lowerCAmelCase	: List[str]   ,   *lowerCAmelCase	: Optional[int]   ,   **lowerCAmelCase	: Tuple )						->			Optional[Any]:
      a__  		=  [
          ' '.join([x.translate(self.translator ) for x in self.jieba.cut(__lowercase   ,   cut_all=__lowercase )] )
          for text in batch_text_or_text_pairs
      ]
      return super()._batch_encode_plus(__lowercase   ,   *__lowercase   ,   **__lowercase )




    def     __lowerCamelCase			(       self	: List[str]   ,   *lowerCAmelCase	: Any   ,   **lowerCAmelCase	: Tuple )						->			List[Any]:
      a__  		=  super()._decode(*__lowercase   ,   **__lowercase )
      a__  		=  text.replace(" "   ,   "" ).replace("\u2582"   ,   " " ).replace("\u2583"   ,   "\n" )
      return text







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__						=		{
    'configuration_prophetnet': ['PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ProphetNetConfig'],
    'tokenization_prophetnet': ['ProphetNetTokenizer'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__						=		[
							    'PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'ProphetNetDecoder',
							    'ProphetNetEncoder',
							    'ProphetNetForCausalLM',
							    'ProphetNetForConditionalGeneration',
							    'ProphetNetModel',
							    'ProphetNetPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
							from .tokenization_prophetnet import ProphetNetTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_prophetnet import (
														    PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ProphetNetDecoder,
														    ProphetNetEncoder,
														    ProphetNetForCausalLM,
														    ProphetNetForConditionalGeneration,
														    ProphetNetModel,
														    ProphetNetPreTrainedModel,
														)

else:
							import sys

							UpperCamelCase__						=		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
