import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a_    					=       logging.get_logger(__name__)


a_    					=       {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
a_    					=       {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

a_    					=       {
    'facebook/bart-base': 1_024,
    'facebook/bart-large': 1_024,
    'facebook/bart-large-mnli': 1_024,
    'facebook/bart-large-cnn': 1_024,
    'facebook/bart-large-xsum': 1_024,
    'yjernite/bart_eli5': 1_024,
}





@lru_cache()
def    __lowercase     (						):
 UpperCamelCase_					:						Optional[Any] =					(
     list(range(ord('!'	)  ,  ord('~'	) + 1	)	) + list(range(ord('¡'	)  ,  ord('¬'	) + 1	)	) + list(range(ord('®'	)  ,  ord('ÿ'	) + 1	)	)
 )
 UpperCamelCase_					:						Union[str, Any] =					bs[:]
 UpperCamelCase_					:						List[Any] =					0
 for b in range(2**8	):
  if b not in bs:
   bs.append(SCREAMING_SNAKE_CASE_	)
   cs.append(2**8 + n	)
   n += 1
 UpperCamelCase_					:						int =					[chr(SCREAMING_SNAKE_CASE_	) for n in cs]
 return dict(zip(SCREAMING_SNAKE_CASE_  ,  SCREAMING_SNAKE_CASE_	)	)





def    __lowercase     (						lowerCamelCase					:     Tuple	):
 UpperCamelCase_					:						Any =					set()
 UpperCamelCase_					:						str =					word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)	)
  UpperCamelCase_					:						Optional[int] =					char
 return pairs






class 		_lowercase						(					snake_case_       ):
 lowercase				     =   VOCAB_FILES_NAMES
 lowercase				     =   PRETRAINED_VOCAB_FILES_MAP
 lowercase				     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase				     =   ["input_ids", "attention_mask"]

 def __init__( self	:							List[str]   ,      snake_case	:							List[Any]   ,      snake_case	:							Union[str, Any]   ,      snake_case	:							List[str]="replace"   ,      snake_case	:							Dict="<s>"   ,      snake_case	:							Tuple="</s>"   ,      snake_case	:							List[str]="</s>"   ,      snake_case	:							Any="<s>"   ,      snake_case	:							Any="<unk>"   ,      snake_case	:							Any="<pad>"   ,      snake_case	:							Union[str, Any]="<mask>"   ,      snake_case	:							Union[str, Any]=False   ,      **snake_case	:							Tuple   ,      )   ->						Any:

  """simple docstring"""





  UpperCamelCase_					:						int =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else bos_token
  UpperCamelCase_					:						List[Any] =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else eos_token
  UpperCamelCase_					:						List[str] =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else sep_token
  UpperCamelCase_					:						str =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else cls_token
  UpperCamelCase_					:						str =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else unk_token
  UpperCamelCase_					:						Tuple =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else pad_token

  # Mask token behave like a normal word, i.e. include the space before it
  UpperCamelCase_					:						List[Any] =					AddedToken(__A   ,      lstrip=__A   ,      rstrip=__A			) if isinstance(__A   ,      __A			) else mask_token

  super().__init__(
      errors=__A   ,      bos_token=__A   ,      eos_token=__A   ,      unk_token=__A   ,      sep_token=__A   ,      cls_token=__A   ,      pad_token=__A   ,      mask_token=__A   ,      add_prefix_space=__A   ,      **__A   ,      )

  with open(__A   ,      encoding='utf-8'			) as vocab_handle:
   UpperCamelCase_					:						List[str] =					json.load(__A			)
  UpperCamelCase_					:						Union[str, Any] =					{v: k for k, v in self.encoder.items()}
  UpperCamelCase_					:						List[Any] =					errors  # how to handle errors in decoding
  UpperCamelCase_					:						Tuple =					bytes_to_unicode()
  UpperCamelCase_					:						List[Any] =					{v: k for k, v in self.byte_encoder.items()}
  with open(__A   ,      encoding='utf-8'			) as merges_handle:
   UpperCamelCase_					:						int =					merges_handle.read().split('\n'			)[1:-1]
  UpperCamelCase_					:						List[str] =					[tuple(merge.split()			) for merge in bpe_merges]
  UpperCamelCase_					:						List[Any] =					dict(zip(__A   ,      range(len(__A			)			)			)			)
  UpperCamelCase_					:						Dict =					{}
  UpperCamelCase_					:						Optional[int] =					add_prefix_space

  # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  UpperCamelCase_					:						List[str] =					re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)

 @property
 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[Any]			)   ->						Tuple:

  """simple docstring"""





  return len(self.encoder			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Dict			)   ->						List[str]:

  """simple docstring"""





  return dict(self.encoder   ,      **self.added_tokens_encoder			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							List[Any]			)   ->						int:

  """simple docstring"""





  if token in self.cache:
   return self.cache[token]
  UpperCamelCase_					:						Tuple =					tuple(__A			)
  UpperCamelCase_					:						List[Any] =					get_pairs(__A			)

  if not pairs:
   return token

  while True:
   UpperCamelCase_					:						Optional[Any] =					min(__A   ,      key=lambda snake_case			: self.bpe_ranks.get(__A   ,      float('inf'			)			)			)
   if bigram not in self.bpe_ranks:
    break
   UpperCamelCase_					:						Dict =					bigram
   UpperCamelCase_					:						Tuple =					[]
   UpperCamelCase_					:						str =					0
   while i < len(__A			):
    try:
     UpperCamelCase_					:						str =					word.index(__A   ,      __A			)
    except ValueError:
     new_word.extend(word[i:]			)
     break
    else:
     new_word.extend(word[i:j]			)
     UpperCamelCase_					:						Optional[Any] =					j

    if word[i] == first and i < len(__A			) - 1 and word[i + 1] == second:
     new_word.append(first + second			)
     i += 2
    else:
     new_word.append(word[i]			)
     i += 1
   UpperCamelCase_					:						Optional[int] =					tuple(__A			)
   UpperCamelCase_					:						int =					new_word
   if len(__A			) == 1:
    break
   else:
    UpperCamelCase_					:						List[str] =					get_pairs(__A			)
  UpperCamelCase_					:						Optional[int] =					" ".join(__A			)
  UpperCamelCase_					:						List[Any] =					word
  return word

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple   ,      snake_case	:							Tuple			)   ->						List[str]:

  """simple docstring"""





  UpperCamelCase_					:						Any =					[]
  for token in re.findall(self.pat   ,      __A			):
   UpperCamelCase_					:						str =					"".join(
       self.byte_encoder[b] for b in token.encode('utf-8'			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
   bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__A			).split(' '			)			)
  return bpe_tokens

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							str			)   ->						List[str]:

  """simple docstring"""





  return self.encoder.get(__A   ,      self.encoder.get(self.unk_token			)			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]   ,      snake_case	:							Tuple			)   ->						Optional[int]:

  """simple docstring"""





  return self.decoder.get(__A			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[Any]   ,      snake_case	:							Optional[int]			)   ->						Union[str, Any]:

  """simple docstring"""





  UpperCamelCase_					:						List[str] =					"".join(__A			)
  UpperCamelCase_					:						Tuple =					bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'   ,      errors=self.errors			)
  return text

 def 						SCREAMING_SNAKE_CASE__   ( self	:							str   ,      snake_case	:							Dict   ,      snake_case	:							Optional[Any] = None			)   ->						Tuple:

  """simple docstring"""





  if not os.path.isdir(__A			):
   logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
   return
  UpperCamelCase_					:						Optional[Any] =					os.path.join(
      __A   ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
  UpperCamelCase_					:						List[str] =					os.path.join(
      __A   ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

  with open(__A   ,      'w'   ,      encoding='utf-8'			) as f:
   f.write(json.dumps(self.encoder   ,      indent=2   ,      sort_keys=__A   ,      ensure_ascii=__A			) + '\n'			)

  UpperCamelCase_					:						Optional[Any] =					0
  with open(__A   ,      'w'   ,      encoding='utf-8'			) as writer:
   writer.write('#version: 0.2\n'			)
   for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,      key=lambda snake_case			: kv[1]			):
    if index != token_index:
     logger.warning(
         f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
         ' Please check that the tokenizer is not corrupted!'			)
     UpperCamelCase_					:						Any =					token_index
    writer.write(' '.join(__A			) + '\n'			)
    index += 1

  return vocab_file, merge_file

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Dict   ,      snake_case	:							List[Any]   ,      snake_case	:							Dict = None			)   ->						List[Any]:

  """simple docstring"""





  if token_ids_a is None:
   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  UpperCamelCase_					:						List[Any] =					[self.cls_token_id]
  UpperCamelCase_					:						List[Any] =					[self.sep_token_id]
  return cls + token_ids_a + sep + sep + token_ids_a + sep

 def 						SCREAMING_SNAKE_CASE__   ( self	:							str   ,      snake_case	:							Dict   ,      snake_case	:							Tuple = None   ,      snake_case	:							Union[str, Any] = False			)   ->						int:

  """simple docstring"""





  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 None:
   return [1] + ([0] * len(__A			)) + [1]
  return [1] + ([0] * len(__A			)) + [1, 1] + ([0] * len(__A			)) + [1]

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Optional[int]   ,      snake_case	:							Union[str, Any]   ,      snake_case	:							Union[str, Any] = None			)   ->						Tuple:

  """simple docstring"""





  UpperCamelCase_					:						Dict =					[self.sep_token_id]
  UpperCamelCase_					:						Dict =					[self.cls_token_id]

  if token_ids_a is None:
   return len(cls + token_ids_a + sep			) * [0]
  return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]


 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[Any]   ,      snake_case	:							Union[str, Any]   ,      snake_case	:							Optional[Any]=False   ,      **snake_case	:							Union[str, Any]			)   ->						int:

  """simple docstring"""





  UpperCamelCase_					:						List[str] =					kwargs.pop('add_prefix_space'   ,      self.add_prefix_space			)
  if (is_split_into_words or add_prefix_space) and (len(__A			) > 0 and not text[0].isspace()):
   UpperCamelCase_					:						Optional[int] =					" " + text
  return (text, kwargs)







def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  for i in range(len(SCREAMING_SNAKE_CASE_	) - 1      ,						0      ,						-1	):
    lowerCamelCase :					Tuple    =				False

    for j in range(SCREAMING_SNAKE_CASE_      ,						0      ,						-1	):
      if unsorted[j] < unsorted[j - 1]:
        lowerCamelCase    ,	lowerCamelCase :					int    =				unsorted[j - 1], unsorted[j]
        lowerCamelCase :					Optional[int]    =				True

    for j in range(SCREAMING_SNAKE_CASE_	):
      if unsorted[j] > unsorted[j + 1]:
        lowerCamelCase    ,	lowerCamelCase :					Union[str, Any]    =				unsorted[j + 1], unsorted[j]
        lowerCamelCase :					Optional[Any]    =				True

    if not swapped:
      break
  return unsorted


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   _snake_case             =     input('''Enter numbers separated by a comma:\n''').strip()
   _snake_case             =     [int(item) for item in user_input.split(''',''')]
   print(f'''{cocktail_shaker_sort(unsorted) = }''')



