

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


_SCREAMING_SNAKE_CASE  :						str         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						Union[str, Any]         =    {'''vocab_file''': '''vocab.txt'''}

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

_SCREAMING_SNAKE_CASE  :						List[str]         =    {
    '''openbmb/cpm-ant-10b''': 1024,
}
def        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					collections.OrderedDict()
     with open(_A   ,	'''r'''   ,	encoding='''utf-8'''       ) as reader:
          SCREAMING_SNAKE_CASE__					=					reader.readlines()
     for index, token in enumerate(_A       ):
          SCREAMING_SNAKE_CASE__					=					token.rstrip('''\n'''       )
          SCREAMING_SNAKE_CASE__					=					index
     return vocab






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


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







  def    lowercase_	(							self		:	str			,     __lowerCamelCase		:	Tuple      )	->							int:
       SCREAMING_SNAKE_CASE__					=					list(__lowerCamelCase      )
       if len(__lowerCamelCase      ) > self.max_input_chars_per_word:
            return [self.unk_token]

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

       return sub_tokens






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


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






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

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

       SCREAMING_SNAKE_CASE__					=					collections.OrderedDict(sorted(self.encoder.items()			,     key=lambda __lowerCamelCase      : x[1]      )      )
       SCREAMING_SNAKE_CASE__					=					{v: k for k, v in self.encoder.items()}

       SCREAMING_SNAKE_CASE__					=					WordpieceTokenizer(vocab=self.encoder			,     unk_token=self.unk_token      )






  @property
  def    lowercase_	(							self		:	Any      )	->							List[Any]:
       return self.encoder[self.bod_token]






  @property
  def    lowercase_	(							self		:	str      )	->							Union[str, Any]:
       return self.encoder[self.eod_token]






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






  @property
  def    lowercase_	(							self		:	List[str]      )	->							int:
       return len(self.encoder      )






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






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






  def    lowercase_	(							self		:	str			,     __lowerCamelCase		:	Union[str, Any]			,     **__lowerCamelCase		:	str      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					[i for i in token_ids if i >= 0]
       SCREAMING_SNAKE_CASE__					=					[
           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(__lowerCamelCase			,     **__lowerCamelCase      )






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	str      )	->							Optional[int]:
       return token in self.encoder






  def    lowercase_	(							self		:	Optional[int]			,     __lowerCamelCase		:	List[str]      )	->							str:
       return "".join(__lowerCamelCase      )






  def    lowercase_	(							self		:	List[str]			,     __lowerCamelCase		:	int      )	->							Any:
       return self.encoder.get(__lowerCamelCase			,     self.encoder.get(self.unk_token      )      )






  def    lowercase_	(							self		:	Optional[int]			,     __lowerCamelCase		:	List[str]      )	->							Dict:
       return self.decoder.get(__lowerCamelCase			,     self.unk_token      )






  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	Optional[str] = None      )	->							Tuple[str]:
       if os.path.isdir(__lowerCamelCase      ):
            SCREAMING_SNAKE_CASE__					=					os.path.join(
                __lowerCamelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
       else:
            SCREAMING_SNAKE_CASE__					=					(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
       SCREAMING_SNAKE_CASE__					=					0
       if " " in self.encoder:
            SCREAMING_SNAKE_CASE__					=					self.encoder[''' ''']
            del self.encoder[" "]
       if "\n" in self.encoder:
            SCREAMING_SNAKE_CASE__					=					self.encoder['''\n''']
            del self.encoder["\n"]
       SCREAMING_SNAKE_CASE__					=					collections.OrderedDict(sorted(self.encoder.items()			,     key=lambda __lowerCamelCase      : x[1]      )      )
       with open(__lowerCamelCase			,     '''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__					=					token_index
                 writer.write(token + '''\n'''      )
                 index += 1
       return (vocab_file,)






  def    lowercase_	(							self		:	List[str]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	List[int] = 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    lowercase_	(							self		:	List[str]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None			,     __lowerCamelCase		:	bool = False      )	->							List[int]:

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

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





import random
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					a[left_index]
     SCREAMING_SNAKE_CASE__					=					left_index + 1
     for j in range(left_index + 1   ,	_A       ):
          if a[j] < pivot:
               SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					a[i], a[j]
               i += 1
     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					a[i - 1], a[left_index]
     return i - 1
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A       ):





     '''simple docstring'''




     if left < right:
          SCREAMING_SNAKE_CASE__					=					random.randint(_A   ,	right - 1       )
          SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					(
              a[left],
              a[pivot],
          )  # switches the pivot with the left most bound
          SCREAMING_SNAKE_CASE__					=					partition(_A   ,	_A   ,	_A       )
          quick_sort_random(
              _A   ,	_A   ,	_A       )  # recursive quicksort to the left of the pivot point
          quick_sort_random(
              _A   ,	pivot_index + 1   ,	_A       )  # recursive quicksort to the right of the pivot point
def        UpperCAmelCase_     (		):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					input('''Enter numbers separated by a comma:\n'''       ).strip()
     SCREAMING_SNAKE_CASE__					=					[int(_A       ) for item in user_input.split(''','''       )]

     quick_sort_random(_A   ,	0   ,	len(_A       )       )

     print(_A       )


if __name__ == "__main__":
       main()


