






'''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 					lowercase__				(   __UpperCamelCase					)->				Optional[Any]:
      return EnvironmentCommand()






class        a_		(    lowerCamelCase       ):

  @staticmethod
  def 						A__		(   _SCREAMING_SNAKE_CASE   )						->   Tuple:



        """simple docstring"""






        UpperCamelCase       						=      parser.add_parser("""env"""   )
        download_parser.set_defaults(func=_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self   )						->   Any:



        """simple docstring"""






        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(_SCREAMING_SNAKE_CASE   )   )

        return info


  @staticmethod
  def 						A__		(   _SCREAMING_SNAKE_CASE   )						->   Dict:



        """simple docstring"""






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









'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import _LazyModule


SCREAMING_SNAKE_CASE__											=     {'tokenization_wav2vec2_phoneme': ['Wav2Vec2PhonemeCTCTokenizer']}


if TYPE_CHECKING:
     from .tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizer
else:
     import sys

     SCREAMING_SNAKE_CASE__											=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
