


"""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 					a__			(				SCREAMING_SNAKE_CASE    :    Union[str, Any]				):


  '''simple docstring'''







  return EnvironmentCommand()





class       SCREAMING_SNAKE_CASE__				(		UpperCAmelCase__				):
       """simple docstring"""


       @staticmethod
       def        lowercase__							(						snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							huggingface_hub.__version__

         lowerCAmelCase     :     str								=							'''not installed'''
         lowerCAmelCase     :     str								=							'''NA'''
         if is_torch_available():
           import torch

           lowerCAmelCase     :     Any								=							torch.__version__
           lowerCAmelCase     :     str								=							torch.cuda.is_available()

         lowerCAmelCase     :     List[str]								=							'''not installed'''
         if is_transformers_available():
           import transformers

           lowerCAmelCase     :     Any								=							transformers.__version__

         lowerCAmelCase     :     Optional[Any]								=							'''not installed'''
         if is_accelerate_available():
           import accelerate

           lowerCAmelCase     :     List[Any]								=							accelerate.__version__

         lowerCAmelCase     :     List[str]								=							'''not installed'''
         if is_xformers_available():
           import xformers

           lowerCAmelCase     :     Optional[Any]								=							xformers.__version__

         lowerCAmelCase     :     int								=							{
             '''`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(__lowercase						)						)

         return info







       @staticmethod
       def        lowercase__							(						snake_case__						):






         """simple docstring"""





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









def 	lowerCAmelCase       (						lowerCAmelCase_       )->       set:
				lowerCAmelCase_       :					Optional[int]			 = set()
				# edges = list of graph's edges
				lowerCAmelCase_       :					List[str]			 = get_edges(lowerCAmelCase_       )

				# While there are still elements in edges list, take an arbitrary edge
				# (from_node, to_node) and add his extremity to chosen_vertices and then
				# remove all arcs adjacent to the from_node and to_node
				while edges:
								lowerCAmelCase_ ,     lowerCAmelCase_       :					Optional[int]			 = edges.pop()
								chosen_vertices.add(lowerCAmelCase_       )
								chosen_vertices.add(lowerCAmelCase_       )
								for edge in edges.copy():
												if from_node in edge or to_node in edge:
																edges.discard(lowerCAmelCase_       )
				return chosen_vertices



def 	lowerCAmelCase       (						lowerCAmelCase_       )->       set:
				lowerCAmelCase_       :					List[Any]			 = set()
				for from_node, to_nodes in graph.items():
								for to_node in to_nodes:
												edges.add((from_node, to_node)       )
				return edges


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						# graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
						# print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")