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"




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



