def      __lowercase				(      _UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase			)      ->     int:






  '''simple docstring'''

  if index == r:
    for j in range(__lowerCAmelCase			):
      print(data[j]			, end=" "			)
    print(" "			)
    return
  #  When no more elements are there to put in data[]
  if i >= n:
    return
  # current is included, put next at next location
  __lowercase					=		arr[i]
  combination_util(__lowerCAmelCase			, __lowerCAmelCase			, __lowerCAmelCase			, index + 1			, __lowerCAmelCase			, i + 1			)
  # current is excluded, replace it with
  # next (Note that i+1 is passed, but
  # index is not changed)
  combination_util(__lowerCAmelCase			, __lowerCAmelCase			, __lowerCAmelCase			, __lowerCAmelCase			, __lowerCAmelCase			, i + 1			)
  # The main function that prints all combinations
  # of size r in arr[] of size n. This function
  # mainly uses combinationUtil()



def      __lowercase				(      _UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase			)      ->     Union[str, Any]:






  '''simple docstring'''

  __lowercase					=		[0] * r
  # Print all combination using temporary array 'data[]'
  combination_util(__lowerCAmelCase			, __lowerCAmelCase			, __lowerCAmelCase			, 0			, __lowerCAmelCase			, 0			)


if __name__ == "__main__":
     # Driver code to check the function above
     lowerCAmelCase__	   =						[10, 20, 30, 40, 50]
     print_combination(arr, len(arr), 3)
     # This code is contributed by Ambuj sahu








'''simple docstring'''




import logging

from transformers.configuration_utils import PretrainedConfig


_SCREAMING_SNAKE_CASE							     =			logging.getLogger(__name__)
class 			_lowerCAmelCase		(			A__	):






     """simple docstring"""






     snake_case_						      =   "masked_bert"



     def __init__(   self							:			Any   ,       __snake_case							:			Optional[Any]=3_05_22   ,       __snake_case							:			List[Any]=7_68   ,       __snake_case							:			int=12   ,       __snake_case							:			List[str]=12   ,       __snake_case							:			int=30_72   ,       __snake_case							:			Optional[int]="gelu"   ,       __snake_case							:			Any=0.1   ,       __snake_case							:			Tuple=0.1   ,       __snake_case							:			List[str]=5_12   ,       __snake_case							:			Tuple=2   ,       __snake_case							:			Tuple=0.02   ,       __snake_case							:			Tuple=1e-12   ,       __snake_case							:			Union[str, Any]=0   ,       __snake_case							:			int="topK"   ,       __snake_case							:			int="constant"   ,       __snake_case							:			List[str]=0.0   ,       **__snake_case							:			Any   ,       )->	Union[str, Any]:
        super().__init__(pad_token_id=__snake_case   ,       **__snake_case						)

        snake_case 						=   vocab_size
        snake_case 						=   hidden_size
        snake_case 						=   num_hidden_layers
        snake_case 						=   num_attention_heads
        snake_case 						=   hidden_act
        snake_case 						=   intermediate_size
        snake_case 						=   hidden_dropout_prob
        snake_case 						=   attention_probs_dropout_prob
        snake_case 						=   max_position_embeddings
        snake_case 						=   type_vocab_size
        snake_case 						=   initializer_range
        snake_case 						=   layer_norm_eps
        snake_case 						=   pruning_method
        snake_case 						=   mask_init
        snake_case 						=   mask_scale

