


'''simple docstring'''





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


UpperCAmelCase_   :				List[str]						      = logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
UpperCAmelCase_   :				Any						      = {
    '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',
    },
}

UpperCAmelCase_   :				Union[str, Any]						      = {
    'facebook/bart-base': 1024,
    'facebook/bart-large': 1024,
    'facebook/bart-large-mnli': 1024,
    'facebook/bart-large-cnn': 1024,
    'facebook/bart-large-xsum': 1024,
    'yjernite/bart_eli5': 1024,
}







@lru_cache()
def  SCREAMING_SNAKE_CASE_		(    )			->	Optional[int]:

       """simple docstring"""

       a_      :	Dict							=						(
           list(range(ord('!'       )						,					ord('~'       ) + 1       )       ) + list(range(ord('¡'       )						,					ord('¬'       ) + 1       )       ) + list(range(ord('®'       )						,					ord('ÿ'       ) + 1       )       )
       )
       a_      :	Any							=						bs[:]
       a_      :	Any							=						0
       for b in range(2**8       ):
              if b not in bs:
                     bs.append(__A       )
                     cs.append(2**8 + n       )
                     n += 1
       a_      :	str							=						[chr(__A       ) for n in cs]
       return dict(zip(__A						,					__A       )       )







def  SCREAMING_SNAKE_CASE_		(    __A				:    Tuple       )			->	Optional[int]:

       """simple docstring"""

       a_      :	Optional[int]							=						set()
       a_      :	Tuple							=						word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)       )
              a_      :	Union[str, Any]							=						char
       return pairs
class 				SCREAMING_SNAKE_CASE__						(       lowercase__    ):
      snake_case__       :  Tuple       =		VOCAB_FILES_NAMES
      snake_case__       :  int       =		PRETRAINED_VOCAB_FILES_MAP
      snake_case__       :  int       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__       :  Any       =		['''input_ids''', '''attention_mask''']
      def __init__( self       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : Dict  ,							SCREAMING_SNAKE_CASE__       : int  ,							SCREAMING_SNAKE_CASE__       : List[Any]="replace"  ,							SCREAMING_SNAKE_CASE__       : Optional[Any]="<s>"  ,							SCREAMING_SNAKE_CASE__       : str="</s>"  ,							SCREAMING_SNAKE_CASE__       : Union[str, Any]="</s>"  ,							SCREAMING_SNAKE_CASE__       : Dict="<s>"  ,							SCREAMING_SNAKE_CASE__       : int="<unk>"  ,							SCREAMING_SNAKE_CASE__       : int="<pad>"  ,							SCREAMING_SNAKE_CASE__       : Any="<mask>"  ,							SCREAMING_SNAKE_CASE__       : int=False  ,							**SCREAMING_SNAKE_CASE__       : List[Any]  ,							)	->    Tuple:
             a_      :	Tuple							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else bos_token
             a_      :	List[str]							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else eos_token
             a_      :	Dict							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else sep_token
             a_      :	str							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else cls_token
             a_      :	Tuple							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else unk_token
             a_      :	List[str]							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else pad_token

             # Mask token behave like a normal word, i.e. include the space before it
             a_      :	Dict							=						AddedToken(SCREAMING_SNAKE_CASE__  ,							lstrip=SCREAMING_SNAKE_CASE__  ,							rstrip=SCREAMING_SNAKE_CASE__  ) if isinstance(SCREAMING_SNAKE_CASE__  ,							SCREAMING_SNAKE_CASE__  ) else mask_token

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

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

             # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
             a_      :	Optional[Any]							=						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       : int  )	->    Dict:
             return len(self.encoder  )
      def  SCREAMING_SNAKE_CASE							( self       : str  )	->    Union[str, Any]:
             return dict(self.encoder  ,							**self.added_tokens_encoder  )
      def  SCREAMING_SNAKE_CASE							( self       : List[str]  ,							SCREAMING_SNAKE_CASE__       : List[Any]  )	->    Optional[int]:
             if token in self.cache:
                    return self.cache[token]
             a_      :	Tuple							=						tuple(SCREAMING_SNAKE_CASE__  )
             a_      :	Any							=						get_pairs(SCREAMING_SNAKE_CASE__  )

             if not pairs:
                    return token

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

                           if word[i] == first and i < len(SCREAMING_SNAKE_CASE__  ) - 1 and word[i + 1] == second:
                                  new_word.append(first + second  )
                                  i += 2
                           else:
                                  new_word.append(word[i]  )
                                  i += 1
                    a_      :	int							=						tuple(SCREAMING_SNAKE_CASE__  )
                    a_      :	Optional[int]							=						new_word
                    if len(SCREAMING_SNAKE_CASE__  ) == 1:
                           break
                    else:
                           a_      :	Tuple							=						get_pairs(SCREAMING_SNAKE_CASE__  )
             a_      :	List[Any]							=						' '.join(SCREAMING_SNAKE_CASE__  )
             a_      :	str							=						word
             return word
      def  SCREAMING_SNAKE_CASE							( self       : int  ,							SCREAMING_SNAKE_CASE__       : Dict  )	->    Any:
             a_      :	List[Any]							=						[]
             for token in re.findall(self.pat  ,							SCREAMING_SNAKE_CASE__  ):
                    a_      :	List[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(SCREAMING_SNAKE_CASE__  ).split(' '  )  )
             return bpe_tokens
      def  SCREAMING_SNAKE_CASE							( self       : List[Any]  ,							SCREAMING_SNAKE_CASE__       : List[str]  )	->    Optional[Any]:
             return self.encoder.get(SCREAMING_SNAKE_CASE__  ,							self.encoder.get(self.unk_token  )  )
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : Union[str, Any]  )	->    int:
             return self.decoder.get(SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : Any  )	->    Dict:
             a_      :	int							=						''.join(SCREAMING_SNAKE_CASE__  )
             a_      :	int							=						bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'  ,							errors=self.errors  )
             return text
      def  SCREAMING_SNAKE_CASE							( self       : int  ,							SCREAMING_SNAKE_CASE__       : str  ,							SCREAMING_SNAKE_CASE__       : Optional[str] = None  )	->    Tuple[str]:
             if not os.path.isdir(SCREAMING_SNAKE_CASE__  ):
                    logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
                    return
             a_      :	Dict							=						os.path.join(
                 SCREAMING_SNAKE_CASE__  ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
             a_      :	int							=						os.path.join(
                 SCREAMING_SNAKE_CASE__  ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']  )

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

             a_      :	int							=						0
             with open(SCREAMING_SNAKE_CASE__  ,							'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 SCREAMING_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!'  )
                                  a_      :	int							=						token_index
                           writer.write(' '.join(SCREAMING_SNAKE_CASE__  ) + '\n'  )
                           index += 1

             return vocab_file, merge_file
      def  SCREAMING_SNAKE_CASE							( self       : Any  ,							SCREAMING_SNAKE_CASE__       : List[int]  ,							SCREAMING_SNAKE_CASE__       : Optional[List[int]] = None  )	->    List[int]:
             if token_ids_a is None:
                    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             a_      :	str							=						[self.cls_token_id]
             a_      :	List[Any]							=						[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep
      def  SCREAMING_SNAKE_CASE							( self       : Any  ,							SCREAMING_SNAKE_CASE__       : List[int]  ,							SCREAMING_SNAKE_CASE__       : Optional[List[int]] = None  ,							SCREAMING_SNAKE_CASE__       : bool = False  )	->    List[int]:
             if already_has_special_tokens:
                    return super().get_special_tokens_mask(
                        token_ids_a=SCREAMING_SNAKE_CASE__  ,							token_ids_a=SCREAMING_SNAKE_CASE__  ,							already_has_special_tokens=SCREAMING_SNAKE_CASE__  )

             if token_ids_a is None:
                    return [1] + ([0] * len(SCREAMING_SNAKE_CASE__  )) + [1]
             return [1] + ([0] * len(SCREAMING_SNAKE_CASE__  )) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE__  )) + [1]
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : List[int]  ,							SCREAMING_SNAKE_CASE__       : Optional[List[int]] = None  )	->    List[int]:
             a_      :	Dict							=						[self.sep_token_id]
             a_      :	List[str]							=						[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       : Any  ,							SCREAMING_SNAKE_CASE__       : int  ,							SCREAMING_SNAKE_CASE__       : str=False  ,							**SCREAMING_SNAKE_CASE__       : Optional[Any]  )	->    Optional[Any]:
             a_      :	Union[str, Any]							=						kwargs.pop('add_prefix_space'  ,							self.add_prefix_space  )
             if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE__  ) > 0 and not text[0].isspace()):
                    a_      :	Union[str, Any]							=						' ' + text
             return (text, kwargs)






from argparse import ArgumentParser

from .env import EnvironmentCommand







def  SCREAMING_SNAKE_CASE_		(    )			->	str:

       """simple docstring"""

       a_      :	str							=						ArgumentParser('Diffusers CLI tool'						,					usage='diffusers-cli <command> [<args>]'       )
       a_      :	Any							=						parser.add_subparsers(help='diffusers-cli command helpers'       )

       # Register commands
       EnvironmentCommand.register_subcommand(__A       )

       # Let's go
       a_      :	int							=						parser.parse_args()

       if not hasattr(__A						,					'func'       ):
              parser.print_help()
              exit(1       )

       # Run
       a_      :	Union[str, Any]							=						args.func(__A       )
       service.run()


if __name__ == "__main__":
   main()


