


'''simple docstring'''


import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand






def  __lowerCAmelCase (__lowerCAmelCase   ):
		return EnvironmentCommand()






class 	lowerCAmelCase__			(			UpperCAmelCase__	):




			@staticmethod
			def 							lowerCAmelCase__    (		lowerCamelCase__  :     ArgumentParser )   ->int:



					'''simple docstring'''







					_UpperCAmelCase		:       List[str]								=      parser.add_parser("env" )
					download_parser.set_defaults(func=lowerCamelCase__ )




			def 							lowerCAmelCase__    (		self  :     Union[str, Any] )   ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase		:       Union[str, Any]								=      huggingface_hub.__version__

					_UpperCAmelCase		:       Dict								=      "not installed"
					_UpperCAmelCase		:       Union[str, Any]								=      "NA"
					if is_torch_available():
							import torch

							_UpperCAmelCase		:       str								=      torch.__version__
							_UpperCAmelCase		:       Union[str, Any]								=      torch.cuda.is_available()

					_UpperCAmelCase		:       str								=      "not installed"
					if is_transformers_available():
							import transformers

							_UpperCAmelCase		:       Tuple								=      transformers.__version__

					_UpperCAmelCase		:       List[Any]								=      "not installed"
					if is_accelerate_available():
							import accelerate

							_UpperCAmelCase		:       Any								=      accelerate.__version__

					_UpperCAmelCase		:       Optional[Any]								=      "not installed"
					if is_xformers_available():
							import xformers

							_UpperCAmelCase		:       Optional[Any]								=      xformers.__version__

					_UpperCAmelCase		:       Any								=      {
					    "`diffusers` version": version,
					    "Platform": platform.platform(),
					    "Python version": platform.python_version(),
					    "PyTorch version (GPU?)": F"""{pt_version} ({pt_cuda_available})""",
					    "Huggingface_hub version": hub_version,
					    "Transformers version": transformers_version,
					    "Accelerate version": accelerate_version,
					    "xFormers version": xformers_version,
					    "Using GPU in script?": "<fill in>",
					    "Using distributed or parallel set-up in script?": "<fill in>",
					}

					print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n" )
					print(self.format_dict(lowerCamelCase__ ) )

					return info






			@staticmethod
			def 							lowerCAmelCase__    (		lowerCamelCase__  :     Optional[Any] )   ->Optional[Any]:



					'''simple docstring'''







					return "\n".join([F"""- {prop}: {val}""" for prop, val in d.items()] ) + "\n"







'''simple docstring'''


from __future__ import annotations

import numpy as np






def  __lowerCAmelCase (__lowerCAmelCase   ):
		return np.maximum(0      , __lowerCAmelCase   )


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



