






"""simple docstring"""







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


a			:    Any				 =		logging.get_logger(__name__)

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


class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__							):




						"""simple docstring"""




						__lowerCamelCase    	= "biogpt"




						def __init__(       self	,  snake_case__=42384	,  snake_case__=1024	,  snake_case__=24	,  snake_case__=16	,  snake_case__=4096	,  snake_case__="gelu"	,  snake_case__=0.1	,  snake_case__=0.1	,  snake_case__=1024	,  snake_case__=0.02	,  snake_case__=1e-12	,  snake_case__=True	,  snake_case__=True	,  snake_case__=0.0	,  snake_case__=0.0	,  snake_case__=1	,  snake_case__=0	,  snake_case__=2	,  **snake_case__	,  ):
												'''simple docstring'''
												lowercase__    :				Dict=	vocab_size
												lowercase__    :				Union[str, Any]=	max_position_embeddings
												lowercase__    :				Any=	hidden_size
												lowercase__    :				Optional[Any]=	num_hidden_layers
												lowercase__    :				List[str]=	num_attention_heads
												lowercase__    :				Any=	intermediate_size
												lowercase__    :				Optional[int]=	hidden_act
												lowercase__    :				Optional[int]=	hidden_dropout_prob
												lowercase__    :				Any=	attention_probs_dropout_prob
												lowercase__    :				int=	initializer_range
												lowercase__    :				Optional[Any]=	layer_norm_eps
												lowercase__    :				Optional[Any]=	scale_embedding
												lowercase__    :				Optional[int]=	use_cache
												lowercase__    :				int=	layerdrop
												lowercase__    :				int=	activation_dropout
												super().__init__(pad_token_id=snake_case__	,  bos_token_id=snake_case__	,  eos_token_id=snake_case__	,  **snake_case__      )














"""simple docstring"""







from __future__ import annotations





def 						lowercase__(A						)    ->int:




						"""simple docstring"""



						for i in range(1 ,		len(matrix[0]						)						):
												matrix[0][i] += matrix[0][i - 1]

						# preprocessing the first column
						for i in range(1 ,		len(A						)						):
												matrix[i][0] += matrix[i - 1][0]

						# updating the path cost for current position
						for i in range(1 ,		len(A						)						):
												for j in range(1 ,		len(matrix[0]						)						):
																		matrix[i][j] += min(matrix[i - 1][j] ,		matrix[i][j - 1]						)

						return matrix[-1][-1]


if __name__ == "__main__":
			import doctest

			doctest.testmod()






