






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


UpperCamelCase__  :					Optional[Any]  						=    logging.get_logger(__name__)

UpperCamelCase__  :					Any  						=    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCamelCase__  :					Dict  						=    {
    """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"""
        ),
    },
}

UpperCamelCase__  :					List[Any]  						=    {
    """openai/clip-vit-base-patch32""": 77,
}







class  lowerCamelCase_   (		a_   ):
							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						:    Optional[int]							,__lowerCamelCase						:    Optional[int]=None							,__lowerCamelCase						:    Tuple=None							,__lowerCamelCase						:    Tuple=None							,__lowerCamelCase						:    str="<|endoftext|>"							,__lowerCamelCase						:    List[str]="<|startoftext|>"							,__lowerCamelCase						:    Union[str, Any]="<|endoftext|>"							,__lowerCamelCase						:    Any="<|endoftext|>"							,**__lowerCamelCase						:    Any							,):





								'''simple docstring'''



								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        SCREAMING_SNAKE_CASE_       (  self						:    Optional[int]    ):





								'''simple docstring'''



								a				=	self.backend_tokenizer.decode

								def new_decode_method(*__lowerCamelCase						:    str							,**__lowerCamelCase						:    int    ):
									a				=	orig_decode_method(*lowercase__							,**lowercase__    )
									a				=	text.replace(self.backend_tokenizer.model.end_of_word_suffix							,''' '''    ).strip()
									return text

								a				=	new_decode_method
							def        SCREAMING_SNAKE_CASE_       (  self						:    Tuple							,__lowerCamelCase						:    List[int]							,__lowerCamelCase						:    Optional[List[int]] = None    ):





								'''simple docstring'''



								a				=	[self.bos_token_id]
								a				=	[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        SCREAMING_SNAKE_CASE_       (  self						:    Any							,__lowerCamelCase						:    List[int]							,__lowerCamelCase						:    Optional[List[int]] = None    ):





								'''simple docstring'''



								a				=	[self.bos_token_id]
								a				=	[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        SCREAMING_SNAKE_CASE_       (  self						:    Dict							,__lowerCamelCase						:    str							,__lowerCamelCase						:    Optional[str] = None    ):





								'''simple docstring'''



								a				=	self._tokenizer.model.save(lowercase__							,name=lowercase__    )
								return tuple(lowercase__    )






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


lowerCAmelCase__							= logging.get_logger(__name__)

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

lowerCAmelCase__							= {
    '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'
        ),
    },
}

lowerCAmelCase__							= {
    'openai/clip-vit-base-patch32': 77,
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






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




 def __init__(			self					:  Optional[int]			,    lowercase__					:  Optional[int]=None			,    lowercase__					:  Tuple=None			,    lowercase__					:  Tuple=None			,    lowercase__					:  str="<|endoftext|>"			,    lowercase__					:  List[str]="<|startoftext|>"			,    lowercase__					:  Union[str, Any]="<|endoftext|>"			,    lowercase__					:  Any="<|endoftext|>"			,    **lowercase__					:  Any			,    ):







        '''simple docstring'''



        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 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					self.backend_tokenizer.decode

        def new_decode_method(*lowercase__					:  str			,    **lowercase__					:  int):
               lowerCAmelCase__     	=					orig_decode_method(*lowercase__			,    **lowercase__)
               lowerCAmelCase__     	=					text.replace(self.backend_tokenizer.model.end_of_word_suffix			,    ' ').strip()
               return text

        lowerCAmelCase__     	=					new_decode_method




 def 		__snake_case						(			self					:  Tuple			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					[self.bos_token_id]
        lowerCAmelCase__     	=					[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 		__snake_case						(			self					:  Any			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					[self.bos_token_id]
        lowerCAmelCase__     	=					[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 		__snake_case						(			self					:  Dict			,    lowercase__					:  str			,    lowercase__					:  Optional[str] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					self._tokenizer.model.save(lowercase__			,    name=lowercase__)
        return tuple(lowercase__)
