from ...configuration_utils import PretrainedConfig





class 					lowercase__						(   UpperCamelCase_):
						UpperCamelCase_     =		"""bert-generation"""


						def __init__(       self	:				int    ,		UpperCamelCase__	:				Optional[Any]=5_0358    ,		UpperCamelCase__	:				List[str]=1024    ,		UpperCamelCase__	:				int=24    ,		UpperCamelCase__	:				int=16    ,		UpperCamelCase__	:				Union[str, Any]=4096    ,		UpperCamelCase__	:				Tuple="gelu"    ,		UpperCamelCase__	:				Any=0.1    ,		UpperCamelCase__	:				Any=0.1    ,		UpperCamelCase__	:				Optional[Any]=512    ,		UpperCamelCase__	:				List[Any]=0.02    ,		UpperCamelCase__	:				List[str]=1E-12    ,		UpperCamelCase__	:				Dict=0    ,		UpperCamelCase__	:				List[str]=2    ,		UpperCamelCase__	:				List[str]=1    ,		UpperCamelCase__	:				Union[str, Any]="absolute"    ,		UpperCamelCase__	:				Dict=True    ,		**UpperCamelCase__	:				Any    ,		):





												'''simple docstring'''





												super().__init__(pad_token_id=UpperCamelCase__    ,		bos_token_id=UpperCamelCase__    ,		eos_token_id=UpperCamelCase__    ,		**UpperCamelCase__						)

												SCREAMING_SNAKE_CASE							:    Dict							=							vocab_size
												SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							hidden_size
												SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							num_hidden_layers
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							num_attention_heads
												SCREAMING_SNAKE_CASE							:    int							=							hidden_act
												SCREAMING_SNAKE_CASE							:    str							=							intermediate_size
												SCREAMING_SNAKE_CASE							:    str							=							hidden_dropout_prob
												SCREAMING_SNAKE_CASE							:    Dict							=							attention_probs_dropout_prob
												SCREAMING_SNAKE_CASE							:    Optional[int]							=							max_position_embeddings
												SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							initializer_range
												SCREAMING_SNAKE_CASE							:    str							=							layer_norm_eps
												SCREAMING_SNAKE_CASE							:    Dict							=							position_embedding_type
												SCREAMING_SNAKE_CASE							:    Tuple							=							use_cache






def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float(moles / volume						) * nfactor						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((moles * 0.0821 * temperature) / (volume)						)						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((moles * 0.0821 * temperature) / (pressure)						)						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						return round(float((pressure * volume) / (0.0821 * moles)						)						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()





