






def      SCREAMING_SNAKE_CASE__  (      snake_case_,     snake_case_,     snake_case_,     snake_case_     )      ->     Optional[int]:


	"""simple docstring"""



	if start == end:
		return start if lst[start] > item else start + 1
	if start > end:
		return start

	a				=	(start + end) // 2
	if lst[mid] < item:
		return binary_search(lowerCAmelCase__,     lowerCAmelCase__,     mid + 1,     lowerCAmelCase__     )
	elif lst[mid] > item:
		return binary_search(lowerCAmelCase__,     lowerCAmelCase__,     lowerCAmelCase__,     mid - 1     )
	else:
		return mid





def      SCREAMING_SNAKE_CASE__  (      snake_case_     )      ->     List[str]:


	"""simple docstring"""



	a				=	len(lowerCAmelCase__     )

	for index in range(1,     lowerCAmelCase__     ):
		a				=	lst[index]
		a				=	binary_search(lowerCAmelCase__,     lowerCAmelCase__,     0,     index - 1     )
		a				=	lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

	return lst





def      SCREAMING_SNAKE_CASE__  (      snake_case_,     snake_case_     )      ->     List[str]:


	"""simple docstring"""



	if not left:
		return right

	if not right:
		return left

	if left[0] < right[0]:
		return [left[0], *merge(left[1:],     lowerCAmelCase__     )]

	return [right[0], *merge(lowerCAmelCase__,     right[1:]     )]





def      SCREAMING_SNAKE_CASE__  (      snake_case_     )      ->     Optional[int]:


	"""simple docstring"""



	a				=	len(lowerCAmelCase__     )
	a		,       a				=	[], []
	a				=	[lst[0]]
	a				=	[]
	a				=	1
	while i < length:
		if lst[i] < lst[i - 1]:
			runs.append(lowerCAmelCase__     )
			a				=	[lst[i]]
		else:
			new_run.append(lst[i]     )
		i += 1
	runs.append(lowerCAmelCase__     )

	for run in runs:
		sorted_runs.append(insertion_sort(lowerCAmelCase__     )     )
	for run in sorted_runs:
		a				=	merge(lowerCAmelCase__,     lowerCAmelCase__     )

	return sorted_array





def      SCREAMING_SNAKE_CASE__  (      )      ->     Optional[Any]:


	"""simple docstring"""



	a				=	[5, 9, 1_0, 3, -4, 5, 1_7_8, 9_2, 4_6, -1_8, 0, 7]
	a				=	tim_sort(lowerCAmelCase__     )
	print(lowerCAmelCase__     )


if __name__ == "__main__":
				main()






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__							= logging.get_logger(__name__)

lowerCAmelCase__							= {
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					'vilt'




 def __init__(			self					:  Optional[Any]			,    lowercase__					:  Dict=30_522			,    lowercase__					:  Tuple=2			,    lowercase__					:  int=2			,    lowercase__					:  Optional[int]=40			,    lowercase__					:  Optional[int]=768			,    lowercase__					:  Tuple=12			,    lowercase__					:  Tuple=12			,    lowercase__					:  Union[str, Any]=3_072			,    lowercase__					:  int="gelu"			,    lowercase__					:  Tuple=0.0			,    lowercase__					:  Dict=0.0			,    lowercase__					:  Optional[int]=0.02			,    lowercase__					:  Tuple=1e-12			,    lowercase__					:  Dict=384			,    lowercase__					:  int=32			,    lowercase__					:  List[str]=3			,    lowercase__					:  int=True			,    lowercase__					:  List[str]=-1			,    lowercase__					:  Union[str, Any]=False			,    lowercase__					:  List[str]=-1			,    **lowercase__					:  int			,    ):







        '''simple docstring'''



        super().__init__(tie_word_embeddings=lowercase__			,    **lowercase__)

        lowerCAmelCase__     	=					vocab_size
        lowerCAmelCase__     	=					type_vocab_size
        lowerCAmelCase__     	=					modality_type_vocab_size
        lowerCAmelCase__     	=					max_position_embeddings

        lowerCAmelCase__     	=					hidden_size
        lowerCAmelCase__     	=					num_hidden_layers
        lowerCAmelCase__     	=					num_attention_heads
        lowerCAmelCase__     	=					intermediate_size
        lowerCAmelCase__     	=					hidden_act
        lowerCAmelCase__     	=					hidden_dropout_prob
        lowerCAmelCase__     	=					attention_probs_dropout_prob
        lowerCAmelCase__     	=					initializer_range
        lowerCAmelCase__     	=					layer_norm_eps

        lowerCAmelCase__     	=					image_size
        lowerCAmelCase__     	=					patch_size
        lowerCAmelCase__     	=					num_channels
        lowerCAmelCase__     	=					qkv_bias
        lowerCAmelCase__     	=					max_image_length
        lowerCAmelCase__     	=					num_images
