
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


_lowercase											=    logging.get_logger(__name__)

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

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

_lowercase											=    {
    """openbmb/cpm-ant-10b""": 1024,
}
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Tuple				)			->						int:
       SCREAMING_SNAKE_CASE_							:				List[str]		=collections.OrderedDict()
       with open(UpperCAmelCase_			,							'''r'''			,							encoding='''utf-8'''				) as reader:
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=reader.readlines()
       for index, token in enumerate(UpperCAmelCase_				):
              SCREAMING_SNAKE_CASE_							:				Tuple		=token.rstrip('''\n'''				)
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=index
       return vocab


class 			lowercase_		(      A       ):


       def __init__(    self						,       __A						,       __A="<unk>"						,       __A=200				)						->    str:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=vocab
              SCREAMING_SNAKE_CASE_							:				List[str]		=unk_token
              SCREAMING_SNAKE_CASE_							:				List[Any]		=max_input_chars_per_word





       def 	_snake_case				(    self						,       __A				)						->    int:
              SCREAMING_SNAKE_CASE_							:				Optional[Any]		=list(__A				)
              if len(__A				) > self.max_input_chars_per_word:
                     return [self.unk_token]

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

              return sub_tokens






class 			lowercase_		(      A       ):
       __lowerCamelCase				       =						VOCAB_FILES_NAMES
       __lowerCamelCase				       =						PRETRAINED_VOCAB_FILES_MAP
       __lowerCamelCase				       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __lowerCamelCase				       =						["input_ids", "attention_mask"]
       __lowerCamelCase				       =						False


       def __init__(    self						,       __A						,       __A="<d>"						,       __A="</d>"						,       __A="<s>"						,       __A="</s>"						,       __A="<pad>"						,       __A="<unk>"						,       __A="</n>"						,       __A="</_>"						,       __A="left"						,       **__A						,       )						->    str:
              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						,       )
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=bod_token
              SCREAMING_SNAKE_CASE_							:				str		=eod_token
              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=load_vocab(__A				)
              SCREAMING_SNAKE_CASE_							:				List[str]		=self.encoder[space_token]
              SCREAMING_SNAKE_CASE_							:				str		=self.encoder[line_token]

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

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

              SCREAMING_SNAKE_CASE_							:				Optional[int]		=WordpieceTokenizer(vocab=self.encoder						,       unk_token=self.unk_token				)


       @property
       def 	_snake_case				(    self				)						->    Dict:
              return self.encoder[self.bod_token]


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


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


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


       def 	_snake_case				(    self				)						->    str:
              return dict(self.encoder						,       **self.added_tokens_encoder				)


       def 	_snake_case				(    self						,       __A				)						->    Optional[int]:
              SCREAMING_SNAKE_CASE_							:				Any		=[]
              for x in jieba.cut(__A						,       cut_all=__A				):
                     output_tokens.extend(self.wordpiece_tokenizer.tokenize(__A				)				)
              return output_tokens


       def 	_snake_case				(    self						,       __A						,       **__A				)						->    Dict:
              SCREAMING_SNAKE_CASE_							:				Tuple		=[i for i in token_ids if i >= 0]
              SCREAMING_SNAKE_CASE_							:				int		=[
                  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 	_snake_case				(    self						,       __A				)						->    List[Any]:
              return token in self.encoder


       def 	_snake_case				(    self						,       __A				)						->    str:
              return "".join(__A				)


       def 	_snake_case				(    self						,       __A				)						->    Union[str, Any]:
              return self.encoder.get(__A						,       self.encoder.get(self.unk_token				)				)


       def 	_snake_case				(    self						,       __A				)						->    Tuple:
              return self.decoder.get(__A						,       self.unk_token				)


       def 	_snake_case				(    self						,       __A						,       __A = None				)						->    Tuple[str]:
              if os.path.isdir(__A				):
                     SCREAMING_SNAKE_CASE_							:				Dict		=os.path.join(
                         __A						,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
              else:
                     SCREAMING_SNAKE_CASE_							:				Tuple		=(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
              SCREAMING_SNAKE_CASE_							:				List[Any]		=0
              if " " in self.encoder:
                     SCREAMING_SNAKE_CASE_							:				int		=self.encoder[''' ''']
                     del self.encoder[" "]
              if "\n" in self.encoder:
                     SCREAMING_SNAKE_CASE_							:				Any		=self.encoder['''\n''']
                     del self.encoder["\n"]
              SCREAMING_SNAKE_CASE_							:				Tuple		=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!'''				)
                                   SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=token_index
                            writer.write(token + '''\n'''				)
                            index += 1
              return (vocab_file,)


       def 	_snake_case				(    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 	_snake_case				(    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				))


from __future__ import annotations
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     list[int | float]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int | float:
       if len(UpperCAmelCase_				) == 0:
              raise ValueError('''find_max() arg is an empty sequence'''				)
       if (
           left >= len(UpperCAmelCase_				)
           or left < -len(UpperCAmelCase_				)
           or right >= len(UpperCAmelCase_				)
           or right < -len(UpperCAmelCase_				)
       ):
              raise IndexError('''list index out of range'''				)
       if left == right:
              return nums[left]
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=(left + right) >> 1  # the middle
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							UpperCAmelCase_			,							UpperCAmelCase_				)  # find max in range[left, mid]
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							mid + 1			,							UpperCAmelCase_				)  # find max in range[mid + 1, right]

       return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)
