




'''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': 77,
}


class       _a  (     __a			):
       __a    :					List[str]           = VOCAB_FILES_NAMES
       __a    :					List[str]           = PRETRAINED_VOCAB_FILES_MAP
       __a    :					Optional[int]           = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __a    :					str           = ["""input_ids""", """attention_mask"""]
       __a    :					Any           = CLIPTokenizer
       def __init__(     self						:     Optional[int]       ,    lowercase						:     Tuple=None       ,    lowercase						:     Union[str, Any]=None       ,    lowercase						:     Union[str, Any]=None       ,    lowercase						:     Optional[int]="<|endoftext|>"       ,    lowercase						:     Optional[Any]="<|startoftext|>"       ,    lowercase						:     Optional[int]="<|endoftext|>"       ,    lowercase						:     Dict="<|endoftext|>"       ,    **lowercase						:     List[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    A				(     self						:     List[str]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.backend_tokenizer.decode

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

           UpperCAmelCase      	=		new_decode_method
       def    A				(     self						:     Dict       ,    lowercase						:     List[int]       ,    lowercase						:     Optional[List[int]] = None    ):



           '''simple docstring'''

           UpperCAmelCase      	=		[self.bos_token_id]
           UpperCAmelCase      	=		[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    A				(     self						:     int       ,    lowercase						:     List[int]       ,    lowercase						:     Optional[List[int]] = None    ):



           '''simple docstring'''

           UpperCAmelCase      	=		[self.bos_token_id]
           UpperCAmelCase      	=		[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    A				(     self						:     Tuple       ,    lowercase						:     str       ,    lowercase						:     Optional[str] = None    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self._tokenizer.model.save(lowercase       ,    name=lowercase    )
           return tuple(lowercase    )










'''simple docstring'''







def 						snake_case_							(_a     :							int = 9_9_8_0_0_1					):
    UpperCAmelCase      	=		0
    for i in range(9_9_9   ,       9_9   ,       -1					):  # 3 digit numbers range from 999 down to 100
        for j in range(9_9_9   ,       9_9   ,       -1					):
            UpperCAmelCase      	=		str(i * j					)
            if product_string == product_string[::-1] and i * j < n:
                UpperCAmelCase      	=		max(_a   ,       i * j					)
    return answer


if __name__ == "__main__":
   print(f"""{solution() = }""")




