
"""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










from __future__ import annotations

import numpy as np



def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[int]:
    return np.maximum(0				,					lowerCamelCase_					)


if __name__ == "__main__":
 print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


