





'''simple docstring'''






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


__UpperCamelCase										=  logging.get_logger(__name__)

__UpperCamelCase										=  {
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}




class    _A   (				__lowercase		):
		lowercase__:      Optional[Any]							    =      '''pegasus_x'''
		lowercase__:      Any							    =      ['''past_key_values''']
		lowercase__:      str							    =      {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}

		def __init__(      self				:      int     ,			__magic_name__				:      Dict=9_61_03     ,			__magic_name__				:      int=1_63_84     ,			__magic_name__				:      List[str]=16     ,			__magic_name__				:      Any=40_96     ,			__magic_name__				:      Union[str, Any]=16     ,			__magic_name__				:      Dict=16     ,			__magic_name__				:      Optional[Any]=40_96     ,			__magic_name__				:      Union[str, Any]=16     ,			__magic_name__				:      List[str]=0.0     ,			__magic_name__				:      Optional[int]=0.0     ,			__magic_name__				:      Any=True     ,			__magic_name__				:      Tuple=True     ,			__magic_name__				:      int="gelu"     ,			__magic_name__				:      int=10_24     ,			__magic_name__				:      Dict=0.1     ,			__magic_name__				:      Optional[int]=0.0     ,			__magic_name__				:      Optional[Any]=0.0     ,			__magic_name__				:      List[Any]=0.02     ,			__magic_name__				:      List[str]=0     ,			__magic_name__				:      int=True     ,			__magic_name__				:      Optional[Any]=0     ,			__magic_name__				:      List[str]=1     ,			__magic_name__				:      List[Any]=1     ,			__magic_name__				:      Any=32     ,			__magic_name__				:      Tuple=5_12     ,			__magic_name__				:      Tuple=True     ,			**__magic_name__				:      int     ,			)				->						Tuple:


					"""simple docstring"""

					__snake_case				:			Tuple       			=    vocab_size
					__snake_case				:			Tuple       			=    max_position_embeddings
					__snake_case				:			Any       			=    d_model
					__snake_case				:			Any       			=    encoder_ffn_dim
					__snake_case				:			Optional[int]       			=    encoder_layers
					__snake_case				:			List[str]       			=    encoder_attention_heads
					__snake_case				:			Optional[Any]       			=    decoder_ffn_dim
					__snake_case				:			List[Any]       			=    decoder_layers
					__snake_case				:			Dict       			=    decoder_attention_heads
					__snake_case				:			int       			=    dropout
					__snake_case				:			List[Any]       			=    attention_dropout
					__snake_case				:			Dict       			=    activation_dropout
					__snake_case				:			int       			=    activation_function
					__snake_case				:			Union[str, Any]       			=    init_std
					__snake_case				:			Optional[Any]       			=    encoder_layerdrop
					__snake_case				:			int       			=    decoder_layerdrop
					__snake_case				:			Union[str, Any]       			=    use_cache
					__snake_case				:			Tuple       			=    encoder_layers
					__snake_case				:			List[str]       			=    scale_embedding  # scale factor will be sqrt(d_model) if True

					__snake_case				:			Union[str, Any]       			=    num_global_tokens
					__snake_case				:			str       			=    block_size
					__snake_case				:			Union[str, Any]       			=    stagger_local_blocks

					super().__init__(
					    pad_token_id=__magic_name__     ,			eos_token_id=__magic_name__     ,			is_encoder_decoder=__magic_name__     ,			decoder_start_token_id=__magic_name__     ,			forced_eos_token_id=__magic_name__     ,			**__magic_name__     ,			)

		@property
		def   lowercase__    (      self				:      Tuple )				->						int:


					"""simple docstring"""

					return self.encoder_attention_heads

		@property
		def   lowercase__    (      self				:      Tuple )				->						int:


					"""simple docstring"""

					return self.d_model









'''simple docstring'''






def 				_a	(					_lowerCamelCase   )   ->							bool:



			"""simple docstring"""


			__snake_case				:			Optional[Any]       			=    [list(_lowerCamelCase   ) for row in matrix]
			if matrix and isinstance(_lowerCamelCase						,  _lowerCamelCase   ):
						if isinstance(matrix[0]						,  _lowerCamelCase   ):
									__snake_case				:			str       			=    0
									for row in matrix:
												if prev_len == 0:
															__snake_case				:			Dict       			=    len(_lowerCamelCase   )
															__snake_case				:			List[Any]       			=    True
												else:
															__snake_case				:			Union[str, Any]       			=    prev_len == len(_lowerCamelCase   )
						else:
									__snake_case				:			List[Any]       			=    True
			else:
						__snake_case				:			List[str]       			=    False

			return result







def 				_a	(					_lowerCamelCase   )   ->							None:



			"""simple docstring"""


			if check_matrix(_lowerCamelCase   ) and len(_lowerCamelCase   ) > 0:
						__snake_case				:			List[str]       			=    [list(_lowerCamelCase   ) for row in a]
						__snake_case				:			Optional[Any]       			=    len(_lowerCamelCase   )
						if isinstance(a[0]						,  _lowerCamelCase   ):
									__snake_case				:			Tuple       			=    len(a[0]   )
						else:
									for dat in a:
												print(_lowerCamelCase   )
									return

						# horizotal printing increasing
						for i in range(0						,  _lowerCamelCase   ):
									print(a[0][i]   )
						# vertical printing down
						for i in range(1						,  _lowerCamelCase   ):
									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]   )
						__snake_case				:			Union[str, Any]       			=    [row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
						if len(_lowerCamelCase   ) > 0:
									spiral_print_clockwise(_lowerCamelCase   )
						else:
									return
			else:
						print("""Not a valid matrix"""   )
						return







def 				_a	(					_lowerCamelCase   )   ->							list[int]:



			"""simple docstring"""


			if matrix:
						return list(matrix.pop(0   )   ) + spiral_traversal(list(zip(*_lowerCamelCase   )   )[::-1]   )
			else:
						return []


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

	doctest.testmod()

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


