


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


snake_case_  :	int							  =							logging.get_logger(__name__)

snake_case_  :	Tuple							  =							{
    '''dandelin/vilt-b32-mlm''': '''https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'''
}

class   A__							(						UpperCamelCase__     ):
						UpperCAmelCase									=  "vilt"




						def __init__(				self    :					List[str] ,			_a    :					Union[str, Any]=3_0522 ,			_a    :					int=2 ,			_a    :					int=2 ,			_a    :					str=40 ,			_a    :					Union[str, Any]=768 ,			_a    :					List[str]=12 ,			_a    :					List[str]=12 ,			_a    :					int=3072 ,			_a    :					Optional[int]="gelu" ,			_a    :					Tuple=0.0 ,			_a    :					Union[str, Any]=0.0 ,			_a    :					List[str]=0.02 ,			_a    :					Tuple=1E-12 ,			_a    :					Tuple=384 ,			_a    :					str=32 ,			_a    :					Any=3 ,			_a    :					Optional[int]=True ,			_a    :					Dict=-1 ,			_a    :					Union[str, Any]=False ,			_a    :					Optional[Any]=-1 ,			**_a    :					List[Any] ,			)							->   Union[str, Any]:


										"""simple docstring"""





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

										_SCREAMING_SNAKE_CASE	     =vocab_size
										_SCREAMING_SNAKE_CASE	     =type_vocab_size
										_SCREAMING_SNAKE_CASE	     =modality_type_vocab_size
										_SCREAMING_SNAKE_CASE	     =max_position_embeddings

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

										_SCREAMING_SNAKE_CASE	     =image_size
										_SCREAMING_SNAKE_CASE	     =patch_size
										_SCREAMING_SNAKE_CASE	     =num_channels
										_SCREAMING_SNAKE_CASE	     =qkv_bias
										_SCREAMING_SNAKE_CASE	     =max_image_length
										_SCREAMING_SNAKE_CASE	     =num_images






'''simple docstring'''







from collections import namedtuple

_a					: Any      =    namedtuple("""from_to""", """from_ to""")

_a					: Dict      =    {
    """millimeter""": """mm""",
    """centimeter""": """cm""",
    """meter""": """m""",
    """kilometer""": """km""",
    """inch""": """in""",
    """inche""": """in""",  # Trailing 's' has been stripped off
    """feet""": """ft""",
    """foot""": """ft""",
    """yard""": """yd""",
    """mile""": """mi""",
}

_a					: Optional[Any]      =    {
    """mm""": from_to(0.001, 1_0_0_0),
    """cm""": from_to(0.01, 1_0_0),
    """m""": from_to(1, 1),
    """km""": from_to(1_0_0_0, 0.001),
    """in""": from_to(0.0254, 39.3701),
    """ft""": from_to(0.3048, 3.28084),
    """yd""": from_to(0.9144, 1.09361),
    """mi""": from_to(1609.34, 0.000621371),
}





def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					float:
			__lowerCAmelCase											=				from_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			__lowerCAmelCase											=				to_type.lower().rstrip("""s"""	)
			__lowerCAmelCase											=				TYPE_CONVERSION.get(lowercase					,	lowercase	)
			if new_from not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'from_type\' value: {from_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			if new_to not in METRIC_CONVERSION:
						__lowerCAmelCase											=				(
						    f'Invalid \'to_type\' value: {to_type!r}.\n'
						    f'Conversion abbreviations are: {", ".join(lowercase	)}'
						)
						raise ValueError(lowercase	)
			return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
	import doctest

	doctest.testmod()

