


"""simple docstring"""







class    __A       :






 """simple docstring"""




 def __init__(	self				,					__A=None		)      ->  Optional[Any]:
     a					=data
     a					=None





 def __repr__(	self		)      ->  int:
     a					=''''''
     a					=self
     while temp:
         string_rep += f'''<{temp.data}> ---> '''
         a					=temp.next
     string_rep += "<END>"
     return string_rep

def _A		(		lowercase	):







    """simple docstring"""

    # if elements_list is empty
    if not elements_list:
        raise Exception('''The Elements List is empty'''	)

    # Set first element as Head
    a					=Node(elements_list[0]	)
    a					=head
    # Loop through elements from position 1
    for data in elements_list[1:]:
        a					=Node(lowercase	)
        a					=current.next
    return head


lowerCamelCase_     :     Optional[Any]    		=						[1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(F'List: {list_data}')
print("""Creating Linked List from List.""")
lowerCamelCase_     :     str    		=						make_linked_list(list_data)
print("""Linked List:""")





print(linked_list)



"""simple docstring"""







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


lowerCamelCase_     :     int    		=						logging.get_logger(__name__)

lowerCamelCase_     :     Optional[Any]    		=						{
    """dandelin/vilt-b32-mlm""": """https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"""
}






class    __A       ( _SCREAMING_SNAKE_CASE    ):






 """simple docstring"""




 __lowerCAmelCase				      =						"vilt"


 def __init__(	self				,					__A=3_0522				,					__A=2				,					__A=2				,					__A=40				,					__A=768				,					__A=12				,					__A=12				,					__A=3072				,					__A="gelu"				,					__A=0.0				,					__A=0.0				,					__A=0.02				,					__A=1E-1_2				,					__A=384				,					__A=32				,					__A=3				,					__A=True				,					__A=-1				,					__A=False				,					__A=-1				,					**__A				,					)      ->  Dict:
     super().__init__(tie_word_embeddings=__A				,					**__A		)

     a					=vocab_size
     a					=type_vocab_size
     a					=modality_type_vocab_size
     a					=max_position_embeddings

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

     a					=image_size
     a					=patch_size
     a					=num_channels
     a					=qkv_bias
     a					=max_image_length
     a					=num_images