



import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


lowercase_						=       logging.get_logger(__name__)
class 			_snake_case     (   _lowercase):




				def __init__(  self   :  List[str],   *__lowercase   :  Union[str, Any],   **__lowercase   :  int  ):
							warnings.warn(
							    "The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
							    " Please use SegformerImageProcessor instead.",   __UpperCamelCase,   )
							super().__init__(*__UpperCamelCase,   **__UpperCamelCase  )




import fire

from utils import calculate_rouge, save_json



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None  ,					**SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			[x.strip() for x in open(SCREAMING_SNAKE_CASE_					).readlines()]
			lowercase__   					=			[x.strip() for x in open(SCREAMING_SNAKE_CASE_					).readlines()][: len(SCREAMING_SNAKE_CASE_					)]
			lowercase__   					=			calculate_rouge(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					**SCREAMING_SNAKE_CASE_					)
			if save_path is not None:
						save_json(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					indent=SCREAMING_SNAKE_CASE_					)
			return metrics  # these print nicely


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




