

'''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   _UpperCamelCase	(		__UpperCamelCase	)       ->			Optional[Any]:
					return EnvironmentCommand()







class  UpperCAmelCase (							UpperCAmelCase__    ):

		'''simple docstring'''






		@staticmethod
		def 			UpperCamelCase(					SCREAMING_SNAKE_CASE_		)  ->     Dict:






							'''simple docstring'''



							lowerCamelCase_  				=      parser.add_parser('env'		)
							download_parser.set_defaults(func=SCREAMING_SNAKE_CASE_		)
		def 			UpperCamelCase(					self		)  ->     Dict:






							'''simple docstring'''



							lowerCamelCase_  				=      huggingface_hub.__version__

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

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

							lowerCamelCase_  				=      'not installed'
							if is_transformers_available():
												import transformers

												lowerCamelCase_  				=      transformers.__version__

							lowerCamelCase_  				=      'not installed'
							if is_accelerate_available():
												import accelerate

												lowerCamelCase_  				=      accelerate.__version__

							lowerCamelCase_  				=      'not installed'
							if is_xformers_available():
												import xformers

												lowerCamelCase_  				=      xformers.__version__

							lowerCamelCase_  				=      {
							    '`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(SCREAMING_SNAKE_CASE_		)		)

							return info






		@staticmethod
		def 			UpperCamelCase(					SCREAMING_SNAKE_CASE_		)  ->     List[str]:






							'''simple docstring'''



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










"""simple docstring"""




class 			__UpperCamelCase							:  # Public class to implement a graph






							def __init__(  self ,   lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__ )      ->					None:
								a :						int      =							row
								a :						Tuple      =							col
								a :						Optional[int]      =							graph






							def        __a  (  self ,   lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__ )      ->					bool:
								return (
								    0 <= i < self.ROW
								    and 0 <= j < self.COL
								    and not visited[i][j]
								    and self.graph[i][j]
								)






							def        __a  (  self ,   lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__ )      ->					None:
								# Checking all 8 elements surrounding nth element
								a :						Optional[Any]      =							[-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
								a :						str      =							[-1, 0, 1, -1, 1, -1, 0, 1]
								a :						str      =							True  # Make those cells visited
								for k in range(8 ):
									if self.is_safe(i + row_nbr[k] ,   j + col_nbr[k] ,   lowerCAmelCase__ ):
										self.diffs(i + row_nbr[k] ,   j + col_nbr[k] ,   lowerCAmelCase__ )






							def        __a  (  self )      ->					int:  # And finally, count all islands.
								a :						Union[str, Any]      =							[[False for j in range(self.COL )] for i in range(self.ROW )]
								a :						Dict      =							0
								for i in range(self.ROW ):
									for j in range(self.COL ):
										if visited[i][j] is False and self.graph[i][j] == 1:
											self.diffs(lowerCAmelCase__ ,   lowerCAmelCase__ ,   lowerCAmelCase__ )
											count += 1
								return count


