





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				(	lowerCamelCase:   Dict )	->						Any:







      '''simple docstring'''






      return EnvironmentCommand()







class A_					(			_lowerCamelCase   ):




   @staticmethod
   def _lowerCAmelCase      (_UpperCamelCase	:ArgumentParser )->					Optional[Any]:
         __A          =				parser.add_parser('''env''' )
         download_parser.set_defaults(func=_UpperCamelCase )




   def _lowerCAmelCase      (self	:List[Any] )->					Any:
         __A          =				huggingface_hub.__version__

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

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

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

               __A          =				transformers.__version__

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

               __A          =				accelerate.__version__

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

               __A          =				xformers.__version__

         __A          =				{
             '''`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 _lowerCAmelCase      (_UpperCamelCase	:int )->					int:
         return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()] ) + "\n"












import requests

snake_case__					:							int													=     'https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey='



def _a				(	lowerCamelCase:   str )	->						None:







      '''simple docstring'''






      __A          =				requests.get(_NEWS_API + bbc_news_api_key ).json()
      # each article in the list is a dict
      for i, article in enumerate(bbc_news_page['''articles''']					,				1 ):
            print(F"""{i}.) {article['title']}""" )


if __name__ == "__main__":
       fetch_bbc_news(bbc_news_api_key='<Your BBC News API key goes here>')





