


"""simple docstring"""




import fire

from utils import calculate_rouge, save_json

def        lowercase							(		lowerCAmelCase__ :     Tuple    ,					lowerCAmelCase__ :     str    ,					lowerCAmelCase__ :     List[str]=None    ,					**lowerCAmelCase__ :     Dict			) ->      int:
		__a           =			[x.strip() for x in open(lowerCAmelCase__			).readlines()]
		__a           =			[x.strip() for x in open(lowerCAmelCase__			).readlines()][: len(lowerCAmelCase__			)]
		__a           =			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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase_			     =  {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP", "UniSpeechConfig"]}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_			     =  [
				    "UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "UniSpeechForCTC",
				    "UniSpeechForPreTraining",
				    "UniSpeechForSequenceClassification",
				    "UniSpeechModel",
				    "UniSpeechPreTrainedModel",
				]

if TYPE_CHECKING:
				from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_unispeech import (
								    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
								    UniSpeechForCTC,
								    UniSpeechForPreTraining,
								    UniSpeechForSequenceClassification,
								    UniSpeechModel,
								    UniSpeechPreTrainedModel,
								)

else:
				import sys

				lowercase_			     =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






