






def 						lowerCAmelCase_		(lowercase__    :							Tuple							)		->     Union[str, Any]:


				'''simple docstring'''




				lowerCAmelCase__         =    generate_pascal_triangle(__lowerCAmelCase							)
				for row_idx in range(__lowerCAmelCase							):
								# Print left spaces
								for _ in range(num_rows - row_idx - 1							):
												print(end=''' '''							)
								# Print row values
								for col_idx in range(row_idx + 1							):
												if col_idx != row_idx:
																print(triangle[row_idx][col_idx]  ,       end=''' '''							)
												else:
																print(triangle[row_idx][col_idx]  ,       end=''''''							)
								print()





def 						lowerCAmelCase_		(lowercase__    :							List[str]							)		->     List[str]:


				'''simple docstring'''




				if not isinstance(__lowerCAmelCase  ,       __lowerCAmelCase							):
								raise TypeError('''The input value of \'num_rows\' should be \'int\''''							)

				if num_rows == 0:
								return []
				elif num_rows < 0:
								raise ValueError(
								    '''The input value of \'num_rows\' should be greater than or equal to 0'''							)

				lowerCAmelCase__         =    []
				for current_row_idx in range(__lowerCAmelCase							):
								lowerCAmelCase__         =    populate_current_row(__lowerCAmelCase  ,       __lowerCAmelCase							)
								triangle.append(__lowerCAmelCase							)
				return triangle





def 						lowerCAmelCase_		(lowercase__    :							Tuple  ,       lowercase__    :							Union[str, Any]							)		->     Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__         =    [-1] * (current_row_idx + 1)
				# first and last elements of current row are equal to 1
				lowerCAmelCase__      ,		lowerCAmelCase__         =    1, 1
				for current_col_idx in range(1  ,       __lowerCAmelCase							):
								calculate_current_element(
								    __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)
				return current_row





def 						lowerCAmelCase_		(lowercase__    :							List[Any]  ,       lowercase__    :							int  ,       lowercase__    :							Optional[Any]  ,       lowercase__    :							Tuple  ,       )		->     Any:


				'''simple docstring'''




				lowerCAmelCase__         =    triangle[current_row_idx - 1][current_col_idx - 1]
				lowerCAmelCase__         =    triangle[current_row_idx - 1][current_col_idx]
				lowerCAmelCase__         =    above_to_left_elt + above_to_right_elt





def 						lowerCAmelCase_		(lowercase__    :							Dict							)		->     Union[str, Any]:


				'''simple docstring'''




				if not isinstance(__lowerCAmelCase  ,       __lowerCAmelCase							):
								raise TypeError('''The input value of \'num_rows\' should be \'int\''''							)

				if num_rows == 0:
								return []
				elif num_rows < 0:
								raise ValueError(
								    '''The input value of \'num_rows\' should be greater than or equal to 0'''							)

				lowerCAmelCase__         =    [[1]]

				for row_index in range(1  ,       __lowerCAmelCase							):
								lowerCAmelCase__         =    [0] + result[-1] + [0]
								lowerCAmelCase__         =    row_index + 1
								# Calculate the number of distinct elements in a row
								lowerCAmelCase__         =    sum(divmod(__lowerCAmelCase  ,       2							)							)
								lowerCAmelCase__         =    [
								    temp_row[i - 1] + temp_row[i] for i in range(1  ,       distinct_elements + 1							)
								]
								lowerCAmelCase__         =    row_first_half[: (row_index + 1) // 2]
								row_second_half.reverse()
								lowerCAmelCase__         =    row_first_half + row_second_half
								result.append(__lowerCAmelCase							)

				return result





def 						lowerCAmelCase_		()		->     Tuple:


				'''simple docstring'''




				from collections.abc import Callable
				from timeit import timeit

				def benchmark_a_function(lowercase__    :							Union[str, Any]  ,       lowercase__    :							Optional[int]							) -> None:
								lowerCAmelCase__         =    f'{func.__name__}({value})'
								lowerCAmelCase__         =    timeit(f'__main__.{call}'  ,       setup='''import __main__'''							)
								# print(f"{call:38} = {func(value)} -- {timing:.4f} seconds")
								print(f'{call:38} -- {timing:.4f} seconds'							)

				for value in range(15							):  # (1, 7, 14):
								for func in (generate_pascal_triangle, generate_pascal_triangle_optimized):
												benchmark_a_function(__lowerCAmelCase  ,       __lowerCAmelCase							)
								print()


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			benchmark()







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


__magic_name__  							=	logging.get_logger(__name__)

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




class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase			):
      _A    :		Dict     						=  'biogpt'
      def __init__(      self		,						lowerCamelCase=4_23_84		,						lowerCamelCase=10_24		,						lowerCamelCase=24		,						lowerCamelCase=16		,						lowerCamelCase=40_96		,						lowerCamelCase="gelu"		,						lowerCamelCase=0.1		,						lowerCamelCase=0.1		,						lowerCamelCase=10_24		,						lowerCamelCase=0.0_2		,						lowerCamelCase=1e-12		,						lowerCamelCase=True		,						lowerCamelCase=True		,						lowerCamelCase=0.0		,						lowerCamelCase=0.0		,						lowerCamelCase=1		,						lowerCamelCase=0		,						lowerCamelCase=2		,						**lowerCamelCase		,						):
          snake_case__    =					vocab_size
          snake_case__    =					max_position_embeddings
          snake_case__    =					hidden_size
          snake_case__    =					num_hidden_layers
          snake_case__    =					num_attention_heads
          snake_case__    =					intermediate_size
          snake_case__    =					hidden_act
          snake_case__    =					hidden_dropout_prob
          snake_case__    =					attention_probs_dropout_prob
          snake_case__    =					initializer_range
          snake_case__    =					layer_norm_eps
          snake_case__    =					scale_embedding
          snake_case__    =					use_cache
          snake_case__    =					layerdrop
          snake_case__    =					activation_dropout
          super().__init__(pad_token_id=lowerCamelCase		,						bos_token_id=lowerCamelCase		,						eos_token_id=lowerCamelCase		,						**lowerCamelCase			)



