'''simple docstring'''
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_clip import CLIPTokenizer


a=	logging.get_logger(__name__)

a=	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

a=	{
    '''vocab_file''': {
        '''openai/clip-vit-base-patch32''': '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''openai/clip-vit-base-patch32''': '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''openai/clip-vit-base-patch32''': (
            '''https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json'''
        ),
    },
}

a=	{
    '''openai/clip-vit-base-patch32''': 7_7,
}






class       __lowercase		(    SCREAMING_SNAKE_CASE_    ):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		 =    VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE__		 =    PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE__		 =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE__		 =    ['''input_ids''', '''attention_mask''']
     SCREAMING_SNAKE_CASE__		 =    CLIPTokenizer







     def __init__(		self  ,      _lowerCamelCase=None  ,      _lowerCamelCase=None  ,      _lowerCamelCase=None  ,      _lowerCamelCase="<|endoftext|>"  ,      _lowerCamelCase="<|startoftext|>"  ,      _lowerCamelCase="<|endoftext|>"  ,      _lowerCamelCase="<|endoftext|>"  ,      **_lowerCamelCase  ,      ):
         super().__init__(
             lowercase_  ,      lowercase_  ,      tokenizer_file=lowercase_  ,      unk_token=lowercase_  ,      bos_token=lowercase_  ,      eos_token=lowercase_  ,      pad_token=lowercase_  ,      **lowercase_  ,      )

         if not isinstance(self.backend_tokenizer.pre_tokenizer  ,      pre_tokenizers.Sequence     ):
             raise ValueError(
                 'The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been'
                 ' heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using'
                 ' to be compatible with this version.The easiest way to do so is'
                 ' `CLIPTokenizerFast.from_pretrained("path_to_local_folder_or_hub_repo, from_slow=True)`. If you want'
                 ' to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of'
                 ' transformers.'     )

         self._wrap_decode_method_backend_tokenizer()







     def lowerCAmelCase  (		self     ):
         __UpperCamelCase						:						str		     =	self.backend_tokenizer.decode

         def new_decode_method(*_lowerCamelCase  ,      **_lowerCamelCase     ):
             __UpperCamelCase						:						str		     =	orig_decode_method(*lowercase_  ,      **lowercase_     )
             __UpperCamelCase						:						Tuple		     =	text.replace(self.backend_tokenizer.model.end_of_word_suffix  ,      ' '     ).strip()
             return text

         __UpperCamelCase						:						List[Any]		     =	new_decode_method







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         __UpperCamelCase						:						Optional[int]		     =	[self.bos_token_id]
         __UpperCamelCase						:						Union[str, Any]		     =	[self.eos_token_id]

         if token_ids_a is None:
             return bos_token + token_ids_a + eos_token
         return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         __UpperCamelCase						:						Optional[int]		     =	[self.bos_token_id]
         __UpperCamelCase						:						Tuple		     =	[self.eos_token_id]

         if token_ids_a is None:
             return len(bos_token + token_ids_a + eos_token     ) * [0]
         return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token     ) * [0]







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None     ):
         __UpperCamelCase						:						List[str]		     =	self._tokenizer.model.save(lowercase_  ,      name=lowercase_     )
         return tuple(lowercase_     )








"""simple docstring"""


def 					_lowerCAmelCase (  lowercase_		):
						return " ".join(sorted(set(sentence.split()		)		)		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()





