"""simple docstring"""


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					(			lowercase		):







  """simple docstring"""
  return EnvironmentCommand()


class        a				(		_a   ):


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  List[str]					):
      _UpperCAmelCase						 =      parser.add_parser("""env"""					)
      download_parser.set_defaults(func=snake_case_					)


    def      lowerCAmelCase_  (					self	:  List[Any]					):
      _UpperCAmelCase						 =      huggingface_hub.__version__

      _UpperCAmelCase						 =      """not installed"""
      _UpperCAmelCase						 =      """NA"""
      if is_torch_available():
        import torch

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

      _UpperCAmelCase						 =      """not installed"""
      if is_transformers_available():
        import transformers

        _UpperCAmelCase						 =      transformers.__version__

      _UpperCAmelCase						 =      """not installed"""
      if is_accelerate_available():
        import accelerate

        _UpperCAmelCase						 =      accelerate.__version__

      _UpperCAmelCase						 =      """not installed"""
      if is_xformers_available():
        import xformers

        _UpperCAmelCase						 =      xformers.__version__

      _UpperCAmelCase						 =      {
          """`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(snake_case_					)					)

      return info


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

"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


UpperCAmelCase__  		=						logging.get_logger(__name__)


class        a				(		lowerCAmelCase_   ):


    def __init__(					self	:  int   ,				*__lowerCAmelCase	:  List[str]   ,				**__lowerCAmelCase	:  List[str]					):
      warnings.warn(
          """The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
          """ Please use ChineseCLIPImageProcessor instead."""   ,				__lowerCAmelCase   ,				)
      super().__init__(*__lowerCAmelCase   ,				**__lowerCAmelCase					)
