



'''simple docstring'''






import fire

from utils import calculate_rouge, save_json


def 				snake_case_  (      _lowerCAmelCase						:		List[Any]     ,   _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		Optional[Any]=None     ,   **_lowerCAmelCase						:		int						)   ->     Optional[Any]:
							UpperCAmelCase				: Dict											=	[x.strip() for x in open(_lowerCAmelCase						).readlines()]
							UpperCAmelCase				: str											=	[x.strip() for x in open(_lowerCAmelCase						).readlines()][: len(_lowerCAmelCase						)]
							UpperCAmelCase				: str											=	calculate_rouge(_lowerCAmelCase     ,   _lowerCAmelCase     ,   **_lowerCAmelCase						)
							if save_path is not None:
														save_json(_lowerCAmelCase     ,   _lowerCAmelCase     ,   indent=_lowerCAmelCase						)
							return metrics  # these print nicely


if __name__ == "__main__":
						fire.Fire(calculate_rouge_path)










'''simple docstring'''






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


UpperCamelCase__:     Dict										=    logging.get_logger(__name__)

UpperCamelCase__:     int										=    {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= """megatron-bert"""







	def __init__(		self    :  int	,    __snake_case    :  List[Any]=29056	,    __snake_case    :  Dict=1024	,    __snake_case    :  Tuple=24	,    __snake_case    :  Any=16	,    __snake_case    :  Tuple=4096	,    __snake_case    :  int="gelu"	,    __snake_case    :  Dict=0.1	,    __snake_case    :  str=0.1	,    __snake_case    :  Optional[Any]=512	,    __snake_case    :  Tuple=2	,    __snake_case    :  Tuple=0.02	,    __snake_case    :  int=1E-12	,    __snake_case    :  Union[str, Any]=0	,    __snake_case    :  int="absolute"	,    __snake_case    :  str=True	,    **__snake_case    :  Tuple	,    )    ->	Union[str, Any]:
								super().__init__(pad_token_id=__snake_case	,    **__snake_case	)

								UpperCAmelCase				: Any											=	vocab_size
								UpperCAmelCase				: Tuple											=	hidden_size
								UpperCAmelCase				: List[Any]											=	num_hidden_layers
								UpperCAmelCase				: str											=	num_attention_heads
								UpperCAmelCase				: Optional[int]											=	hidden_act
								UpperCAmelCase				: Optional[int]											=	intermediate_size
								UpperCAmelCase				: Dict											=	hidden_dropout_prob
								UpperCAmelCase				: List[Any]											=	attention_probs_dropout_prob
								UpperCAmelCase				: Dict											=	max_position_embeddings
								UpperCAmelCase				: Any											=	type_vocab_size
								UpperCAmelCase				: str											=	initializer_range
								UpperCAmelCase				: str											=	layer_norm_eps
								UpperCAmelCase				: Optional[Any]											=	position_embedding_type
								UpperCAmelCase				: str											=	use_cache





