




"""simple docstring"""



from timeit import timeit

SCREAMING_SNAKE_CASE    =	{
    "MALAYALAM": True,
    "String": False,
    "rotor": True,
    "level": True,
    "A": True,
    "BB": True,
    "ABC": False,
    "amanaplanacanalpanama": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		bool:
 A__	=    0
 A__	=    len(lowercase_						) - 1
 while start_i < end_i:
  if s[start_i] == s[end_i]:
   start_i += 1
   end_i -= 1
  else:
   return False
 return True







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		bool:
 A__	=    len(lowercase_						) // 2
 A__	=    len(lowercase_						)

 # We need to traverse till half of the length of string
 # as we can get access of the i'th last element from
 # i'th index.
 # eg: [0,1,2,3,4,5] => 4th index can be accessed
 # with the help of 1st index (i==n-i-1)
 # where n is length of string
 return all(s[i] == s[n - i - 1] for i in range(lowercase_						)						)







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		bool:
 if len(lowercase_						) <= 2:
  return True
 if s[0] == s[len(lowercase_						) - 1]:
  return is_palindrome_recursive(s[1:-1]						)
 else:
  return False







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		bool:
 return s == s[::-1]







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 A__	=    f"""all({name}(key) is value for key, value in test_data.items())"""
 A__	=    f"""from __main__ import test_data, {name}"""
 A__	=    50_00_00
 A__	=    timeit(stmt=lowercase_      ,			setup=lowercase_      ,			number=lowercase_						)
 print(f"""{name:<35} finished {number:,} runs in {result:.5f} seconds"""						)


if __name__ == "__main__":
      for key, value in test_data.items():
            assert is_palindrome(key) is is_palindrome_recursive(key)
            assert is_palindrome(key) is is_palindrome_slice(key)
            print(f'{key:21} {value}')
      print("a man a plan a canal panama")

      # finished 500,000 runs in 0.46793 seconds
      benchmark_function("is_palindrome_slice")
      # finished 500,000 runs in 0.85234 seconds
      benchmark_function("is_palindrome")
      # finished 500,000 runs in 1.32028 seconds
      benchmark_function("is_palindrome_recursive")
      # finished 500,000 runs in 2.08679 seconds
      benchmark_function("is_palindrome_traversal")











"""simple docstring"""



from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding




class      UpperCAmelCase_  (						A_							):
    lowercase__						 =				['''image_processor''', '''tokenizer''']
    lowercase__						 =				'''AutoImageProcessor'''
    lowercase__						 =				'''AutoTokenizer'''




    def __init__(   self						:	str     ,			snake_case_						:	Dict     ,			snake_case_						:	List[str]				)				->							str:




     '''simple docstring'''

     super().__init__(snake_case_     ,			snake_case_				)
     A__	=    self.image_processor




    def __call__(   self						:	int     ,			snake_case_						:	Any=None     ,			snake_case_						:	Any=None     ,			snake_case_						:	Union[str, Any]=None     ,			**snake_case_						:	Optional[int]				)				->							Optional[int]:




     '''simple docstring'''

     if text is None and images is None:
      raise ValueError("You have to specify either text or images. Both cannot be none."				)

     if text is not None:
      A__	=    self.tokenizer(snake_case_     ,			return_tensors=snake_case_     ,			**snake_case_				)

     if images is not None:
      A__	=    self.image_processor(snake_case_     ,			return_tensors=snake_case_     ,			**snake_case_				)

     if text is not None and images is not None:
      A__	=    image_features.pixel_values
      return encoding
     elif text is not None:
      return encoding
     else:
      return BatchEncoding(data=dict(**snake_case_				)     ,			tensor_type=snake_case_				)




    def 							__magic_name__							(   self						:	Optional[int]     ,			*snake_case_						:	Union[str, Any]     ,			**snake_case_						:	List[Any]				)				->							int:




     '''simple docstring'''

     return self.tokenizer.batch_decode(*snake_case_     ,			**snake_case_				)




    def 							__magic_name__							(   self						:	List[str]     ,			*snake_case_						:	List[str]     ,			**snake_case_						:	Optional[int]				)				->							Tuple:




     '''simple docstring'''

     return self.tokenizer.decode(*snake_case_     ,			**snake_case_				)




    @property
    def 							__magic_name__							(   self						:	List[Any]				)				->							List[Any]:




     '''simple docstring'''

     return ["input_ids", "attention_mask", "pixel_values"]





