
from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
				from .image_encoder import PaintByExampleImageEncoder
				from .pipeline_paint_by_example import PaintByExamplePipeline





"""simple docstring"""


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        __a (		A   ):






     '''simple docstring'''



     return EnvironmentCommand()






class  a__     ( _a						):


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				parser.add_parser("env",					help="Print relevant system environment info."	)
        download_parser.set_defaults(func=_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        lowercase__								=				{
            "`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(_UpperCAmelCase	)	)

        return info


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



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




