code: import platform
  from argparse import ArgumentParser
  
  import huggingface_hub
  import pandas
  import pyarrow
  
  from datasets import __version__ as version
  from datasets.commands import BaseDatasetsCLICommand
  
  def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			List[str]:
  							return EnvironmentCommand()
  
  
  
  
  
  
  class      lowercase_						(						lowerCamelCase_		):
  
  
  	@staticmethod
  	def     SCREAMING_SNAKE_CASE_       (							__SCREAMING_SNAKE_CASE       )		->str:
  								lowerCAmelCase				=	parser.add_parser('''env'''	,    help='''Print relevant system environment info.'''       )
  								download_parser.set_defaults(func=__SCREAMING_SNAKE_CASE       )
  
  
  	def     SCREAMING_SNAKE_CASE_       (							self       )		->Optional[int]:
  								lowerCAmelCase				=	{
  								    "`datasets` version": version,
  								    "Platform": platform.platform(),
  								    "Python version": platform.python_version(),
  								    "Huggingface_hub version": huggingface_hub.__version__,
  								    "PyArrow version": pyarrow.__version__,
  								    "Pandas version": pandas.__version__,
  								}
  
  								print('''\nCopy-and-paste the text below in your GitHub issue.\n'''       )
  								print(self.format_dict(__SCREAMING_SNAKE_CASE       )       )
  
  								return info
  
  
  
  
  	@staticmethod
  	def     SCREAMING_SNAKE_CASE_       (							__SCREAMING_SNAKE_CASE       )		->Any:
  								return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]       ) + "\n"
  
  
  
  
style_context: from dataclasses import dataclass
  from typing import List, Optional, Union
  
  import numpy as np
  import PIL
  
  from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available
  
  
  
  
  @dataclass
  class      lowercase_						(						UpperCamelCase_		):
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	UpperCAmelCase_						:      Union[List[PIL.Image.Image], np.ndarray]
  
  
  if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
  	from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
  	from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline
  
  
  
  