




import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
  import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_snake_case										=       logging.get_logger(__name__)

_snake_case										=       {"vocab_file": "vocab.txt"}

_snake_case										=       {
    "vocab_file": {
        "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt",
    },
}

_snake_case										=       {
    "openbmb/cpm-ant-10b": 1024,
}







def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Tuple			=						collections.OrderedDict()
      with open(snake_case_,"""r""",encoding="""utf-8"""     ) as reader:
            _A							:     str			=						reader.readlines()
      for index, token in enumerate(snake_case_     ):
            _A							:     Any			=						token.rstrip("""\n"""     )
            _A							:     List[str]			=						index
      return vocab







class 						lowercase							(   UpperCamelCase__		):

     def __init__(  self		,     _a		,     _a="<unk>"		,     _a=200				)						->							str:
           _A							:     Optional[Any]			=						vocab
           _A							:     str			=						unk_token
           _A							:     Optional[int]			=						max_input_chars_per_word



     def 					a__	(  self		,     _a				)						->							int:
           _A							:     Optional[int]			=						list(_a				)
           if len(_a				) > self.max_input_chars_per_word:
                 return [self.unk_token]

           _A							:     Union[str, Any]			=						0
           _A							:     List[str]			=						[]
           while start < len(_a				):
                 _A							:     int			=						len(_a				)
                 _A							:     Any			=						None
                 while start < end:
                       _A							:     Optional[int]			=						"""""".join(chars[start:end]				)
                       if substr in self.vocab:
                             _A							:     Dict			=						substr
                             break
                       end -= 1
                 if cur_substr is None:
                       sub_tokens.append(self.unk_token				)
                       start += 1
                 else:
                       sub_tokens.append(_a				)
                       _A							:     Any			=						end

           return sub_tokens







class 						lowercase							(   UpperCamelCase__		):
     _a							 =						VOCAB_FILES_NAMES
     _a							 =						PRETRAINED_VOCAB_FILES_MAP
     _a							 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _a							 =						["input_ids", "attention_mask"]
     _a							 =						False

     def __init__(  self		,     _a		,     _a="<d>"		,     _a="</d>"		,     _a="<s>"		,     _a="</s>"		,     _a="<pad>"		,     _a="<unk>"		,     _a="</n>"		,     _a="</_>"		,     _a="left"		,     **_a		,     )						->							Tuple:
           requires_backends(self		,     ["""jieba"""]				)
           super().__init__(
               bod_token=_a		,     eod_token=_a		,     bos_token=_a		,     eos_token=_a		,     pad_token=_a		,     unk_token=_a		,     line_token=_a		,     space_token=_a		,     padding_side=_a		,     **_a		,     )
           _A							:     List[Any]			=						bod_token
           _A							:     List[str]			=						eod_token
           _A							:     List[str]			=						load_vocab(_a				)
           _A							:     List[str]			=						self.encoder[space_token]
           _A							:     Tuple			=						self.encoder[line_token]

           del self.encoder[space_token]
           del self.encoder[line_token]

           _A							:     Optional[int]			=						collections.OrderedDict(sorted(self.encoder.items()		,     key=lambda _a				: x[1]				)				)
           _A							:     str			=						{v: k for k, v in self.encoder.items()}

           _A							:     List[Any]			=						WordpieceTokenizer(vocab=self.encoder		,     unk_token=self.unk_token				)

     @property
     def 					a__	(  self				)						->							str:
           return self.encoder[self.bod_token]

     @property
     def 					a__	(  self				)						->							int:
           return self.encoder[self.eod_token]

     @property
     def 					a__	(  self				)						->							Optional[Any]:
           return self.encoder["\n"]

     @property
     def 					a__	(  self				)						->							int:
           return len(self.encoder				)

     def 					a__	(  self				)						->							List[Any]:
           return dict(self.encoder		,     **self.added_tokens_encoder				)

     def 					a__	(  self		,     _a				)						->							Dict:
           _A							:     Optional[int]			=						[]
           for x in jieba.cut(_a		,     cut_all=_a				):
                 output_tokens.extend(self.wordpiece_tokenizer.tokenize(_a				)				)
           return output_tokens

     def 					a__	(  self		,     _a		,     **_a				)						->							str:
           _A							:     List[str]			=						[i for i in token_ids if i >= 0]
           _A							:     Dict			=						[
               x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
           ]
           return super()._decode(_a		,     **_a				)

     def 					a__	(  self		,     _a				)						->							Union[str, Any]:
           return token in self.encoder

     def 					a__	(  self		,     _a				)						->							str:
           return "".join(_a				)

     def 					a__	(  self		,     _a				)						->							str:
           return self.encoder.get(_a		,     self.encoder.get(self.unk_token				)				)

     def 					a__	(  self		,     _a				)						->							Tuple:
           return self.decoder.get(_a		,     self.unk_token				)

     def 					a__	(  self		,     _a		,     _a = None				)						->							Tuple[str]:
           if os.path.isdir(_a				):
                 _A							:     List[Any]			=						os.path.join(
                     _a		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
           else:
                 _A							:     Optional[int]			=						(filename_prefix + """-""" if filename_prefix else """""") + save_directory
           _A							:     Dict			=						0
           if " " in self.encoder:
                 _A							:     str			=						self.encoder[""" """]
                 del self.encoder[" "]
           if "\n" in self.encoder:
                 _A							:     Optional[int]			=						self.encoder["""\n"""]
                 del self.encoder["\n"]
           _A							:     int			=						collections.OrderedDict(sorted(self.encoder.items()		,     key=lambda _a				: x[1]				)				)
           with open(_a		,     """w"""		,     encoding="""utf-8"""				) as writer:
                 for token, token_index in self.encoder.items():
                       if index != token_index:
                             logger.warning(
                                 F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
                                 """ Please check that the vocabulary is not corrupted!"""				)
                             _A							:     str			=						token_index
                       writer.write(token + """\n"""				)
                       index += 1
           return (vocab_file,)

     def 					a__	(  self		,     _a		,     _a = None				)						->							List[int]:
           if token_ids_a is None:
                 return [self.bos_token_id] + token_ids_a
           return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a



     def 					a__	(  self		,     _a		,     _a = None		,     _a = False				)						->							List[int]:

           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=_a		,     token_ids_a=_a		,     already_has_special_tokens=_a				)

           if token_ids_a is not None:
                 return [1] + ([0] * len(_a				)) + [1] + ([0] * len(_a				))
           return [1] + ([0] * len(_a				))







def 				lowerCAmelCase_	(     snake_case_     ):
      if number < 0:
            raise ValueError("""number must not be negative"""     )
      return number & (number - 1) == 0


if __name__ == "__main__":
  import doctest

  doctest.testmod()

