


'''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       (     __A    )							->		Union[str, Any]:


      '''simple docstring'''



      return EnvironmentCommand()



class 					lowercase_     (    a__   ):


    @staticmethod
    def    __a							(     a    ):
          UpperCamelCase__										=				parser.add_parser("env"    )
          download_parser.set_defaults(func=a    )


    def    __a							(     self    ):
          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(a    )    )

          return info


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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase		:       List[Any]									=     {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Optional[Any]									=     ['GLPNFeatureExtractor']
					__UpperCamelCase		:       List[str]									=     ['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GLPNForDepthEstimation',
					    'GLPNLayer',
					    'GLPNModel',
					    'GLPNPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_glpn import GLPNFeatureExtractor
										from .image_processing_glpn import GLPNImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_glpn import (
										    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GLPNForDepthEstimation,
										    GLPNLayer,
										    GLPNModel,
										    GLPNPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase		:       Optional[Any]									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





