


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			=    logging.get_logger(__name__)

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

UpperCAmelCase			=    {
    """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			=    {
    """openai/clip-vit-base-patch32""": 77,
}







class lowerCAmelCase_						( lowerCamelCase__       ):

 '''simple docstring'''

 __snake_case												=  VOCAB_FILES_NAMES
 __snake_case												=  PRETRAINED_VOCAB_FILES_MAP
 __snake_case												=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __snake_case												=  ["input_ids", "attention_mask"]
 __snake_case												=  CLIPTokenizer



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

       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 						UpperCamelCase__     (	self					):
       snake_case_       =      self.backend_tokenizer.decode

       def new_decode_method(*_UpperCAmelCase		,      **_UpperCAmelCase					):
             snake_case_       =      orig_decode_method(*_UpperCAmelCase		,      **_UpperCAmelCase					)
             snake_case_       =      text.replace(self.backend_tokenizer.model.end_of_word_suffix		,      ''' '''					).strip()
             return text

       snake_case_       =      new_decode_method



 def 						UpperCamelCase__     (	self		,      _UpperCAmelCase		,      _UpperCAmelCase = None					):
       snake_case_       =      [self.bos_token_id]
       snake_case_       =      [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 						UpperCamelCase__     (	self		,      _UpperCAmelCase		,      _UpperCAmelCase = None					):
       snake_case_       =      [self.bos_token_id]
       snake_case_       =      [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 						UpperCamelCase__     (	self		,      _UpperCAmelCase		,      _UpperCAmelCase = None					):
       snake_case_       =      self._tokenizer.model.save(_UpperCAmelCase		,      name=_UpperCAmelCase					)
       return tuple(_UpperCAmelCase					)



def        __lowerCAmelCase    (SCREAMING_SNAKE_CASE = 1000					)->  int:




      """simple docstring"""

      snake_case_       =      0
      snake_case_       =      (n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case_       =      (n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case_       =      (n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


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