


"""simple docstring"""
from __future__ import annotations

def 							_snake_case			(      __snake_case       :			list[int]	,   __snake_case       :			int      ):




   """simple docstring"""







   _lowerCamelCase  :				dict[int, int]      =		{}
   for index, val in enumerate(__snake_case      ):
      _lowerCamelCase  :				List[str]      =		target - val
      if compl in chk_map:
         return [chk_map[compl], index]
      _lowerCamelCase  :				Optional[Any]      =		index
   return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(f'''{two_sum([2, 7, 11, 15], 9) = }''')





"""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


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   lowercase__							(				A_							):
   __UpperCAmelCase       					=				VOCAB_FILES_NAMES
   __UpperCAmelCase       					=				PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase       					=				['''input_ids''', '''attention_mask''']
   __UpperCAmelCase       					=				CLIPTokenizer





   def __init__(       self			,      SCREAMING_SNAKE_CASE=None			,      SCREAMING_SNAKE_CASE=None			,      SCREAMING_SNAKE_CASE=None			,      SCREAMING_SNAKE_CASE="<|endoftext|>"			,      SCREAMING_SNAKE_CASE="<|startoftext|>"			,      SCREAMING_SNAKE_CASE="<|endoftext|>"			,      SCREAMING_SNAKE_CASE="<|endoftext|>"			,      **SCREAMING_SNAKE_CASE			,      )     ->     List[Any]:
      super().__init__(
          SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE			,      tokenizer_file=SCREAMING_SNAKE_CASE			,      unk_token=SCREAMING_SNAKE_CASE			,      bos_token=SCREAMING_SNAKE_CASE			,      eos_token=SCREAMING_SNAKE_CASE			,      pad_token=SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE			,      )

      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)     ->     Union[str, Any]:
      _lowerCamelCase  :				str      =		self.backend_tokenizer.decode

      def new_decode_method(*SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE):
         _lowerCamelCase  :				Any      =		orig_decode_method(*SCREAMING_SNAKE_CASE			,      **SCREAMING_SNAKE_CASE)
         _lowerCamelCase  :				Optional[int]      =		text.replace(self.backend_tokenizer.model.end_of_word_suffix			,      """ """).strip()
         return text

      _lowerCamelCase  :				List[str]      =		new_decode_method





   def 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     List[int]:
      _lowerCamelCase  :				str      =		[self.bos_token_id]
      _lowerCamelCase  :				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 		UpperCamelCase_     (       self			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     List[int]:
      _lowerCamelCase  :				Any      =		[self.bos_token_id]
      _lowerCamelCase  :				int      =		[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			,      SCREAMING_SNAKE_CASE			,      SCREAMING_SNAKE_CASE = None)     ->     Tuple[str]:
      _lowerCamelCase  :				Dict      =		self._tokenizer.model.save(SCREAMING_SNAKE_CASE			,      name=SCREAMING_SNAKE_CASE)
      return tuple(SCREAMING_SNAKE_CASE)

