



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      (    _lowerCAmelCase						)			->    Dict:



    """simple docstring"""






    return EnvironmentCommand()






class SCREAMING_SNAKE_CASE__	(						_snake_case       ):




    '''simple docstring'''






    @staticmethod
    def      _lowerCAmelCase   (			lowerCamelCase__						):
        A					:			str		=  parser.add_parser("""env"""						)
        download_parser.set_defaults(func=_lowerCamelCase						)






    def      _lowerCAmelCase   (			self						):
        A					:			Optional[Any]		=  huggingface_hub.__version__

        A					:			Optional[int]		=  '''not installed'''
        A					:			List[Any]		=  '''NA'''
        if is_torch_available():
            import torch

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

        A					:			int		=  '''not installed'''
        if is_transformers_available():
            import transformers

            A					:			Optional[Any]		=  transformers.__version__

        A					:			Any		=  '''not installed'''
        if is_accelerate_available():
            import accelerate

            A					:			Any		=  accelerate.__version__

        A					:			Tuple		=  '''not installed'''
        if is_xformers_available():
            import xformers

            A					:			int		=  xformers.__version__

        A					:			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(_lowerCamelCase						)						)

        return info






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






from __future__ import annotations

from typing import Any







class 						_snake_case    ( _snake_case				):
 pass







class 						_snake_case    :




 def __init__(						self   ,    _lowerCamelCase       ):
       a		:Any									=			data
       a		:Node | None									=			None




 def __iter__(						self       ):
       a		:Dict									=			self
       a		:Optional[int]									=			[]
       while node:
             if node in visited:
                   raise ContainsLoopError
             visited.append(_lowerCamelCase       )
             yield node.data
             a		:str									=			node.next_node




 @property
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       try:
             list(self       )
             return False
       except ContainsLoopError:
             return True


if __name__ == "__main__":
     snake_case							:       int										=	Node(1)
     snake_case							:       int										=	Node(2)
     snake_case							:       Optional[int]										=	Node(3)
     snake_case							:       List[str]										=	Node(4)
     print(root_node.has_loop)  # False
     snake_case							:       Optional[Any]										=	root_node.next_node
     print(root_node.has_loop)  # True

     snake_case							:       Dict										=	Node(5)
     snake_case							:       List[Any]										=	Node(6)
     snake_case							:       Optional[int]										=	Node(5)
     snake_case							:       Union[str, Any]										=	Node(6)
     print(root_node.has_loop)  # False

     snake_case							:       Tuple										=	Node(1)
     print(root_node.has_loop)  # False





