
"""simple docstring"""





class    _UpperCAmelCase:  # Public class to implement a graph



		def __init__( self    ,		__a    ,		__a    ,		__a)	->	None:






							'''simple docstring'''
							__UpperCamelCase										=  row
							__UpperCamelCase										=  col
							__UpperCamelCase										=  graph



		def 						UpperCAmelCase							( self    ,		__a    ,		__a    ,		__a)	->	bool:






							'''simple docstring'''
							return (
							    0 <= i < self.ROW
							    and 0 <= j < self.COL
							    and not visited[i][j]
							    and self.graph[i][j]
							)



		def 						UpperCAmelCase							( self    ,		__a    ,		__a    ,		__a)	->	None:






							'''simple docstring'''
							# Checking all 8 elements surrounding nth element
							__UpperCamelCase										=  [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
							__UpperCamelCase										=  [-1, 0, 1, -1, 1, -1, 0, 1]
							__UpperCamelCase										=  True  # Make those cells visited
							for k in range(8):
												if self.is_safe(i + row_nbr[k]    ,		j + col_nbr[k]    ,		__a):
																	self.diffs(i + row_nbr[k]    ,		j + col_nbr[k]    ,		__a)




		def 						UpperCAmelCase							( self)	->	int:  # And finally, count all islands.






							'''simple docstring'''
							__UpperCamelCase										=  [[False for j in range(self.COL)] for i in range(self.ROW)]
							__UpperCamelCase										=  0
							for i in range(self.ROW):
												for j in range(self.COL):
																	if visited[i][j] is False and self.graph[i][j] == 1:
																						self.diffs(__a    ,		__a    ,		__a)
																						count += 1
							return count








"""simple docstring"""





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


_a														=		logging.get_logger(__name__)

_a														=		{
    """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/config.json""",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}






class    _UpperCAmelCase(   lowerCamelCase     ):
		lowercase__      =				'biogpt'



		def __init__( self    ,		__a=4_23_84    ,		__a=10_24    ,		__a=24    ,		__a=16    ,		__a=40_96    ,		__a="gelu"    ,		__a=0.1    ,		__a=0.1    ,		__a=10_24    ,		__a=0.02    ,		__a=1e-12    ,		__a=True    ,		__a=True    ,		__a=0.0    ,		__a=0.0    ,		__a=1    ,		__a=0    ,		__a=2    ,		**__a    ,		)	->	Dict:






							'''simple docstring'''
							_UpperCamelCase										=  vocab_size
							_UpperCamelCase										=  max_position_embeddings
							_UpperCamelCase										=  hidden_size
							_UpperCamelCase										=  num_hidden_layers
							_UpperCamelCase										=  num_attention_heads
							_UpperCamelCase										=  intermediate_size
							_UpperCamelCase										=  hidden_act
							_UpperCamelCase										=  hidden_dropout_prob
							_UpperCamelCase										=  attention_probs_dropout_prob
							_UpperCamelCase										=  initializer_range
							_UpperCamelCase										=  layer_norm_eps
							_UpperCamelCase										=  scale_embedding
							_UpperCamelCase										=  use_cache
							_UpperCamelCase										=  layerdrop
							_UpperCamelCase										=  activation_dropout
							super().__init__(pad_token_id=__a    ,		bos_token_id=__a    ,		eos_token_id=__a    ,		**__a)






