




"""simple docstring"""






import fire

from utils import calculate_rouge, save_json







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


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





"""simple docstring"""






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import (
			    VersatileDiffusionDualGuidedPipeline,
			    VersatileDiffusionImageVariationPipeline,
			    VersatileDiffusionPipeline,
			    VersatileDiffusionTextToImagePipeline,
			)
else:
			from .modeling_text_unet import UNetFlatConditionModel
			from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
			from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
			from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
			from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline