





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       :Union[str, Any]       =  logging.get_logger(__name__)

__lowercase       :Any       =  {'vocab_file': 'vocab.txt'}

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

__lowercase       :Optional[int]       =  {
    'openbmb/cpm-ant-10b': 1_024,
}







def       UpperCAmelCase							(     _lowerCamelCase      :  Union[str, Any]     ):





      '''simple docstring'''


      SCREAMING_SNAKE_CASE__     :				Optional[int]   =					collections.OrderedDict()
      with open(_lowercase			,   "r"			,   encoding="utf-8"     ) as reader:
            SCREAMING_SNAKE_CASE__     :				List[str]   =					reader.readlines()
      for index, token in enumerate(_lowercase     ):
            SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					token.rstrip("\n"     )
            SCREAMING_SNAKE_CASE__     :				Optional[int]   =					index
      return vocab



class    _a     (				UpperCamelCase_							):






       """simple docstring"""

       def __init__(      self				:     Tuple							,	a				:     Optional[Any]							,	a				:     Union[str, Any]="<unk>"							,	a				:     List[Any]=2_00    )	->str:
             SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					vocab
             SCREAMING_SNAKE_CASE__     :				str   =					unk_token
             SCREAMING_SNAKE_CASE__     :				Any   =					max_input_chars_per_word






       def      A_  (      self				:     Any							,	a				:     Dict    )	->Tuple:
             SCREAMING_SNAKE_CASE__     :				List[Any]   =					list(UpperCamelCase__    )
             if len(UpperCamelCase__    ) > self.max_input_chars_per_word:
                   return [self.unk_token]

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

             return sub_tokens







class    _a     (				UpperCamelCase_							):






       """simple docstring"""

       snake_case_							 =						VOCAB_FILES_NAMES
       snake_case_							 =						PRETRAINED_VOCAB_FILES_MAP
       snake_case_							 =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case_							 =						["input_ids", "attention_mask"]
       snake_case_							 =						False

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

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

             SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					collections.OrderedDict(sorted(self.encoder.items()							,	key=lambda a    : x[1]    )    )
             SCREAMING_SNAKE_CASE__     :				str   =					{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      A_  (      self				:     Union[str, Any]    )	->Dict:
             return self.encoder[self.bod_token]

       @property
       def      A_  (      self				:     Tuple    )	->Optional[Any]:
             return self.encoder[self.eod_token]

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

       @property
       def      A_  (      self				:     Optional[Any]    )	->int:
             return len(self.encoder    )

       def      A_  (      self				:     int    )	->int:
             return dict(self.encoder							,	**self.added_tokens_encoder    )

       def      A_  (      self				:     Optional[int]							,	a				:     List[str]    )	->List[str]:
             SCREAMING_SNAKE_CASE__     :				str   =					[]
             for x in jieba.cut(UpperCamelCase__							,	cut_all=UpperCamelCase__    ):
                   output_tokens.extend(self.wordpiece_tokenizer.tokenize(UpperCamelCase__    )    )
             return output_tokens

       def      A_  (      self				:     List[Any]							,	a				:     Union[str, Any]							,	**a				:     Dict    )	->List[str]:
             SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					[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(UpperCamelCase__							,	**UpperCamelCase__    )

       def      A_  (      self				:     Dict							,	a				:     Any    )	->List[Any]:
             return token in self.encoder

       def      A_  (      self				:     int							,	a				:     List[str]    )	->Tuple:
             return "".join(UpperCamelCase__    )

       def      A_  (      self				:     Any							,	a				:     Optional[Any]    )	->Any:
             return self.encoder.get(UpperCamelCase__							,	self.encoder.get(self.unk_token    )    )

       def      A_  (      self				:     str							,	a				:     str    )	->List[Any]:
             return self.decoder.get(UpperCamelCase__							,	self.unk_token    )

       def      A_  (      self				:     int							,	a				:     str							,	a				:     Optional[str] = None    )	->Optional[Any]:





             if os.path.isdir(UpperCamelCase__    ):
                   SCREAMING_SNAKE_CASE__     :				List[str]   =					os.path.join(
                       UpperCamelCase__							,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]    )
             else:
                   SCREAMING_SNAKE_CASE__     :				int   =					(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
             SCREAMING_SNAKE_CASE__     :				List[Any]   =					0
             if " " in self.encoder:
                   SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					self.encoder[''' ''']
                   del self.encoder[" "]
             if "\n" in self.encoder:
                   SCREAMING_SNAKE_CASE__     :				str   =					self.encoder['''\n''']
                   del self.encoder["\n"]
             SCREAMING_SNAKE_CASE__     :				str   =					collections.OrderedDict(sorted(self.encoder.items()							,	key=lambda a    : x[1]    )    )
             with open(UpperCamelCase__							,	"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__     :				Optional[Any]   =					token_index
                         writer.write(token + "\n"    )
                         index += 1
             return (vocab_file,)

       def      A_  (      self				:     Union[str, Any]							,	a				:     List[int]							,	a				:     List[int] = None    )	->str:





             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				:     Optional[Any]							,	a				:     List[int]							,	a				:     Optional[List[int]] = None							,	a				:     bool = False    )	->Union[str, Any]:





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

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






from __future__ import annotations







def       UpperCAmelCase							(     _lowerCamelCase      :  list[int | float]			,   _lowerCamelCase      :  int			,   _lowerCamelCase      :  int     ):





						'''simple docstring'''


						if len(_lowerCamelCase     ) == 0:
												raise ValueError("find_max() arg is an empty sequence"     )
						if (
						    left >= len(_lowerCamelCase     )
						    or left < -len(_lowerCamelCase     )
						    or right >= len(_lowerCamelCase     )
						    or right < -len(_lowerCamelCase     )
						):
												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__     :				List[Any]   =					find_max(_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase     )  # find max in range[left, mid]
						SCREAMING_SNAKE_CASE__     :				Optional[int]   =					find_max(_lowerCamelCase			,   mid + 1			,   _lowerCamelCase     )  # 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)