






from pathlib import Path

import fire


def 				_a     (   UpperCamelCase_    : List[Any]			,      UpperCamelCase_    : Optional[Any]			,      UpperCamelCase_    : Any      )       ->      List[str]:
						"""simple docstring"""







						lowerCAmelCase__       					=  Path(_lowerCamelCase      )
						lowerCAmelCase__       					=  Path(_lowerCamelCase      )
						dest_dir.mkdir(exist_ok=_lowerCamelCase      )
						for path in src_dir.iterdir():
												lowerCAmelCase__       					=  [x.rstrip() for x in list(path.open().readlines()      )][:n]
												lowerCAmelCase__       					=  dest_dir.joinpath(path.name      )
												print(_lowerCamelCase      )
												dest_path.open("w"      ).write("\n".join(_lowerCamelCase      )      )


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











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
