

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							(		a__):

			'''simple docstring'''



			return EnvironmentCommand()



class     A__(_a				):
						"""simple docstring"""






						@staticmethod
						def        UpperCamelCase__ (  _lowercase  )			->      Optional[Any]:
									a_		:		List[Any]      				=      parser.add_parser("""env"""  )
									download_parser.set_defaults(func=UpperCamelCase__  )





						def        UpperCamelCase__ (  self  )			->      str:
									a_		:		List[str]      				=      huggingface_hub.__version__

									a_		:		List[str]      				=      """not installed"""
									a_		:		Union[str, Any]      				=      """NA"""
									if is_torch_available():
												import torch

												a_		:		Any      				=      torch.__version__
												a_		:		List[str]      				=      torch.cuda.is_available()

									a_		:		Tuple      				=      """not installed"""
									if is_transformers_available():
												import transformers

												a_		:		str      				=      transformers.__version__

									a_		:		Tuple      				=      """not installed"""
									if is_accelerate_available():
												import accelerate

												a_		:		Optional[Any]      				=      accelerate.__version__

									a_		:		int      				=      """not installed"""
									if is_xformers_available():
												import xformers

												a_		:		str      				=      xformers.__version__

									a_		:		List[str]      				=      {
									    """`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(UpperCamelCase__  )  )

									return info





						@staticmethod
						def        UpperCamelCase__ (  _lowercase  )			->      Optional[int]:
									return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]  ) + "\n"







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase	:       Tuple      	=	{"configuration_ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig", "IBertOnnxConfig"]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _lowerCamelCase	:       Dict      	=	[
       "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
       "IBertForMaskedLM",
       "IBertForMultipleChoice",
       "IBertForQuestionAnswering",
       "IBertForSequenceClassification",
       "IBertForTokenClassification",
       "IBertModel",
       "IBertPreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_ibert import (
          IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          IBertForMaskedLM,
          IBertForMultipleChoice,
          IBertForQuestionAnswering,
          IBertForSequenceClassification,
          IBertForTokenClassification,
          IBertModel,
          IBertPreTrainedModel,
      )

else:
   import sys

   _lowerCamelCase	:       Union[str, Any]      	=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

