


'''simple docstring'''



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


__lowercase     :						List[str]	=     logging.get_logger(__name__)

__lowercase     :						int	=     {
    'uclanlp/visualbert-vqa': 'https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json',
    'uclanlp/visualbert-vqa-pre': 'https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json',
    'uclanlp/visualbert-vqa-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json'
    ),
    'uclanlp/visualbert-vcr': 'https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json',
    'uclanlp/visualbert-vcr-pre': 'https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json',
    'uclanlp/visualbert-vcr-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json'
    ),
    'uclanlp/visualbert-nlvr2': 'https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json',
    'uclanlp/visualbert-nlvr2-pre': 'https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json',
    'uclanlp/visualbert-nlvr2-coco-pre': (
        'https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json'
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}





class 							__UpperCamelCase    (		a__ ):
	A_           =   "visual_bert"




	def __init__(       self						,    __a=3_0522						,    __a=768						,    __a=512						,    __a=12						,    __a=12						,    __a=3072						,    __a="gelu"						,    __a=0.1						,    __a=0.1						,    __a=512						,    __a=2						,    __a=0.02						,    __a=1E-1_2						,    __a=False						,    __a=True						,    __a=1						,    __a=0						,    __a=2						,    **__a						,    ):

						'''simple docstring'''





						super().__init__(pad_token_id=__a						,    bos_token_id=__a						,    eos_token_id=__a						,    **__a							)

						__a      :	Optional[int]    =  vocab_size
						__a      :	str    =  max_position_embeddings
						__a      :	str    =  hidden_size
						__a      :	Union[str, Any]    =  visual_embedding_dim
						__a      :	Any    =  num_hidden_layers
						__a      :	Union[str, Any]    =  num_attention_heads
						__a      :	Optional[Any]    =  intermediate_size
						__a      :	List[Any]    =  hidden_act
						__a      :	Optional[int]    =  hidden_dropout_prob
						__a      :	str    =  attention_probs_dropout_prob
						__a      :	List[Any]    =  initializer_range
						__a      :	List[str]    =  type_vocab_size
						__a      :	str    =  layer_norm_eps
						__a      :	List[str]    =  bypass_transformer
						__a      :	Optional[int]    =  special_visual_initialize







'''simple docstring'''



def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       int						,				_SCREAMING_SNAKE_CASE				:       int       ):
					if not isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ):
										raise ValueError('iterations must be defined as integers'       )
					if not isinstance(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       ) or not number >= 1:
										raise ValueError(
										    'starting number must be\n                         and integer and be more than 0'       )
					if not iterations >= 1:
										raise ValueError('Iterations must be done more than 0 times to play FizzBuzz'       )

					__a      :	Dict    =  ''
					while number <= iterations:
										if number % 3 == 0:
															out += "Fizz"
										if number % 5 == 0:
															out += "Buzz"
										if 0 not in (number % 3, number % 5):
															out += str(_SCREAMING_SNAKE_CASE       )

										# print(out)
										number += 1
										out += " "
					return out


if __name__ == "__main__":
	import doctest

	doctest.testmod()



