





def 	_SCREAMING_SNAKE_CASE		(				SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:



 def update_area_of_max_square(SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ) -> int:
  # BASE CASE
  if row >= rows or col >= cols:
   return 0

  __lowerCAmelCase					:	Optional[Any]      =       update_area_of_max_square(lowerCAmelCase__   ,   col + 1   )
  __lowerCAmelCase					:	Optional[Any]      =       update_area_of_max_square(row + 1   ,   col + 1   )
  __lowerCAmelCase					:	Any      =       update_area_of_max_square(row + 1   ,   lowerCAmelCase__   )

  if mat[row][col]:
   __lowerCAmelCase					:	Union[str, Any]      =       1 + min([right, diagonal, down]   )
   __lowerCAmelCase					:	List[Any]      =       max(largest_square_area[0]   ,   lowerCAmelCase__   )
   return sub_problem_sol
  else:
   return 0

 __lowerCAmelCase					:	Optional[Any]      =       [0]
 update_area_of_max_square(0   ,   0   )
 return largest_square_area[0]






def 	_SCREAMING_SNAKE_CASE		(				SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:



 def update_area_of_max_square_using_dp_array(
     SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   ) -> int:
  if row >= rows or col >= cols:
   return 0
  if dp_array[row][col] != -1:
   return dp_array[row][col]

  __lowerCAmelCase					:	Union[str, Any]      =       update_area_of_max_square_using_dp_array(lowerCAmelCase__   ,   col + 1   ,   lowerCAmelCase__   )
  __lowerCAmelCase					:	str      =       update_area_of_max_square_using_dp_array(row + 1   ,   col + 1   ,   lowerCAmelCase__   )
  __lowerCAmelCase					:	List[Any]      =       update_area_of_max_square_using_dp_array(row + 1   ,   lowerCAmelCase__   ,   lowerCAmelCase__   )

  if mat[row][col]:
   __lowerCAmelCase					:	Union[str, Any]      =       1 + min([right, diagonal, down]   )
   __lowerCAmelCase					:	str      =       max(largest_square_area[0]   ,   lowerCAmelCase__   )
   __lowerCAmelCase					:	str      =       sub_problem_sol
   return sub_problem_sol
  else:
   return 0

 __lowerCAmelCase					:	List[Any]      =       [0]
 __lowerCAmelCase					:	int      =       [[-1] * cols for _ in range(lowerCAmelCase__   )]
 update_area_of_max_square_using_dp_array(0   ,   0   ,   lowerCAmelCase__   )

 return largest_square_area[0]






def 	_SCREAMING_SNAKE_CASE		(				SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:
 __lowerCAmelCase					:	str      =       [[0] * (cols + 1) for _ in range(rows + 1   )]
 __lowerCAmelCase					:	Any      =       0
 for row in range(rows - 1   ,   -1   ,   -1   ):
  for col in range(cols - 1   ,   -1   ,   -1   ):
   __lowerCAmelCase					:	Tuple      =       dp_array[row][col + 1]
   __lowerCAmelCase					:	int      =       dp_array[row + 1][col + 1]
   __lowerCAmelCase					:	Optional[Any]      =       dp_array[row + 1][col]

   if mat[row][col] == 1:
    __lowerCAmelCase					:	Union[str, Any]      =       1 + min(lowerCAmelCase__   ,   lowerCAmelCase__   ,   lowerCAmelCase__   )
    __lowerCAmelCase					:	Dict      =       max(dp_array[row][col]   ,   lowerCAmelCase__   )
   else:
    __lowerCAmelCase					:	Tuple      =       0

 return largest_square_area






def 	_SCREAMING_SNAKE_CASE		(				SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list[list[int]]   )      ->   int:
 __lowerCAmelCase					:	List[str]      =       [0] * (cols + 1)
 __lowerCAmelCase					:	Tuple      =       [0] * (cols + 1)
 __lowerCAmelCase					:	List[str]      =       0
 for row in range(rows - 1   ,   -1   ,   -1   ):
  for col in range(cols - 1   ,   -1   ,   -1   ):
   __lowerCAmelCase					:	str      =       current_row[col + 1]
   __lowerCAmelCase					:	Optional[Any]      =       next_row[col + 1]
   __lowerCAmelCase					:	List[Any]      =       next_row[col]

   if mat[row][col] == 1:
    __lowerCAmelCase					:	int      =       1 + min(lowerCAmelCase__   ,   lowerCAmelCase__   ,   lowerCAmelCase__   )
    __lowerCAmelCase					:	str      =       max(current_row[col]   ,   lowerCAmelCase__   )
   else:
    __lowerCAmelCase					:	int      =       0
  __lowerCAmelCase					:	Dict      =       current_row

 return largest_square_area


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))






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


_UpperCAmelCase             =							logging.get_logger(__name__)

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






class        snake_case_    (		__lowercase						):
  A_      							=   'biogpt'






  def __init__(							self			:					int       ,  _snake_case			:					Any=42384       ,  _snake_case			:					Any=1024       ,  _snake_case			:					List[Any]=24       ,  _snake_case			:					Any=16       ,  _snake_case			:					List[str]=4096       ,  _snake_case			:					Dict="gelu"       ,  _snake_case			:					Tuple=0.1       ,  _snake_case			:					str=0.1       ,  _snake_case			:					Tuple=1024       ,  _snake_case			:					Tuple=0.02       ,  _snake_case			:					Tuple=1E-12       ,  _snake_case			:					Optional[int]=True       ,  _snake_case			:					Optional[int]=True       ,  _snake_case			:					Any=0.0       ,  _snake_case			:					Tuple=0.0       ,  _snake_case			:					str=1       ,  _snake_case			:					Dict=0       ,  _snake_case			:					str=2       ,  **_snake_case			:					Union[str, Any]       ,  )->Dict:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =       vocab_size
   __lowerCAmelCase					:	Dict      =       max_position_embeddings
   __lowerCAmelCase					:	str      =       hidden_size
   __lowerCAmelCase					:	Dict      =       num_hidden_layers
   __lowerCAmelCase					:	List[Any]      =       num_attention_heads
   __lowerCAmelCase					:	Optional[Any]      =       intermediate_size
   __lowerCAmelCase					:	int      =       hidden_act
   __lowerCAmelCase					:	Any      =       hidden_dropout_prob
   __lowerCAmelCase					:	Any      =       attention_probs_dropout_prob
   __lowerCAmelCase					:	Any      =       initializer_range
   __lowerCAmelCase					:	int      =       layer_norm_eps
   __lowerCAmelCase					:	Optional[int]      =       scale_embedding
   __lowerCAmelCase					:	List[Any]      =       use_cache
   __lowerCAmelCase					:	str      =       layerdrop
   __lowerCAmelCase					:	Dict      =       activation_dropout
   super().__init__(pad_token_id=_snake_case       ,  bos_token_id=_snake_case       ,  eos_token_id=_snake_case       ,  **_snake_case      )