


"""simple docstring"""


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


a_											=     logging.get_logger(__name__)

a_											=     {
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}
class snake_case   (	_UpperCamelCase):
		__UpperCamelCase							     =      'vilt'







		def __init__(       self   :							Optional[Any]     , a__   :							Dict=3_05_22     , a__   :							Union[str, Any]=2     , a__   :							Tuple=2     , a__   :							Tuple=40     , a__   :							int=7_68     , a__   :							Any=12     , a__   :							Tuple=12     , a__   :							List[Any]=30_72     , a__   :							List[Any]="gelu"     , a__   :							Any=0.0     , a__   :							Union[str, Any]=0.0     , a__   :							Union[str, Any]=0.0_2     , a__   :							int=1E-1_2     , a__   :							Optional[Any]=3_84     , a__   :							List[str]=32     , a__   :							Optional[Any]=3     , a__   :							Optional[Any]=True     , a__   :							List[str]=-1     , a__   :							List[str]=False     , a__   :							Union[str, Any]=-1     , **a__   :							str     , )							->    Dict:





						'''simple docstring'''







						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



"""simple docstring"""


def   a__			(					__lowercase )						->						bool:
				# must be
				_A       	=      [list(__lowercase ) for row in matrix]
				if matrix and isinstance(__lowercase  ,      __lowercase ):
								if isinstance(matrix[0]  ,      __lowercase ):
												_A       	=      0
												for row in matrix:
																if prev_len == 0:
																				_A       	=      len(__lowercase )
																				_A       	=      True
																else:
																				_A       	=      prev_len == len(__lowercase )
								else:
												_A       	=      True
				else:
								_A       	=      False

				return result






def   a__			(					__lowercase )						->						None:
				if check_matrix(__lowercase ) and len(__lowercase ) > 0:
								_A       	=      [list(__lowercase ) for row in a]
								_A       	=      len(__lowercase )
								if isinstance(a[0]  ,      __lowercase ):
												_A       	=      len(a[0] )
								else:
												for dat in a:
																print(__lowercase )
												return

								# horizotal printing increasing
								for i in range(0  ,      __lowercase ):
												print(a[0][i] )
								# vertical printing down
								for i in range(1  ,      __lowercase ):
												print(a[i][mat_col - 1] )
								# horizotal printing decreasing
								if mat_row > 1:
												for i in range(mat_col - 2  ,      -1  ,      -1 ):
																print(a[mat_row - 1][i] )
        # vertical printing up
								for i in range(mat_row - 2  ,      0  ,      -1 ):
												print(a[i][0] )
								_A       	=      [row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
								if len(__lowercase ) > 0:
												spiral_print_clockwise(__lowercase )
								else:
												return
				else:
								print("Not a valid matrix" )
								return






def   a__			(					__lowercase )						->						list[int]:
				if matrix:
								return list(matrix.pop(0 ) ) + spiral_traversal(list(zip(*__lowercase ) )[::-1] )
				else:
								return []


# driver code
if __name__ == "__main__":
		import doctest

		doctest.testmod()

		a_											=     [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]
		spiral_print_clockwise(a)