



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_    ) ->       Any:
						return EnvironmentCommand()





class  __magic_name__   (							A__						):






		@staticmethod
		def SCREAMING_SNAKE_CASE_			(						UpperCamelCase__      :     ArgumentParser      )				->					int:
								'''simple docstring'''







								UpperCAmelCase         =     parser.add_parser("env"      )
								download_parser.set_defaults(func=UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					Optional[Any]:
								'''simple docstring'''







								UpperCAmelCase         =     huggingface_hub.__version__

								UpperCAmelCase         =     "not installed"
								UpperCAmelCase         =     "NA"
								if is_torch_available():
														import torch

														UpperCAmelCase         =     torch.__version__
														UpperCAmelCase         =     torch.cuda.is_available()

								UpperCAmelCase         =     "not installed"
								if is_transformers_available():
														import transformers

														UpperCAmelCase         =     transformers.__version__

								UpperCAmelCase         =     "not installed"
								if is_accelerate_available():
														import accelerate

														UpperCAmelCase         =     accelerate.__version__

								UpperCAmelCase         =     "not installed"
								if is_xformers_available():
														import xformers

														UpperCAmelCase         =     xformers.__version__

								UpperCAmelCase         =     {
								    "`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(UpperCamelCase__      )      )

								return info







		@staticmethod
		def SCREAMING_SNAKE_CASE_			(						UpperCamelCase__      :     Tuple      )				->					List[Any]:
								'''simple docstring'''







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








from __future__ import annotations

def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						UpperCAmelCase         =     len(lowerCamelCase_    ) // 2

						# choose the middle 3 elements
						UpperCAmelCase         =     lst[m - 1 : m + 2]

						# if middle element is peak
						if three[1] > three[0] and three[1] > three[2]:
												return three[1]

						# if increasing, recurse on right
						elif three[0] < three[2]:
												if len(lst[:m]    ) == 2:
																		m -= 1
												return peak(lst[m:]    )

						# decreasing
						else:
												if len(lst[:m]    ) == 2:
																		m += 1
												return peak(lst[:m]    )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



