



"""simple docstring"""







import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand

def     UpperCamelCase_   (   lowerCAmelCase__				:    Tuple						)						->       str:

  """simple docstring"""




  return EnvironmentCommand()

def     UpperCamelCase_   (   lowerCAmelCase__				:    Union[str, Any]						)						->       str:

  """simple docstring"""




  return EnvironmentCommand(args.accelerate_config_file						)







class 				UpperCamelCase__       (     __lowercase  ):




      """simple docstring"""




      @staticmethod
      def 					SCREAMING_SNAKE_CASE__			(				SCREAMING_SNAKE_CASE_    :				Dict	):
        lowerCAmelCase_       :    str								=			parser.add_parser('env'	)
        download_parser.set_defaults(func=_a	)
        download_parser.add_argument(
            '--accelerate-config_file'   ,      default=_a   ,      help='The accelerate config file to use for the default values in the launching script.'   ,      )
        download_parser.set_defaults(func=_a	)



      def __init__(				self    :				List[str]   ,      SCREAMING_SNAKE_CASE_    :				int   ,      *SCREAMING_SNAKE_CASE_    :				Optional[int]	):
        lowerCAmelCase_       :    Union[str, Any]								=			accelerate_config_file



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple	):
        lowerCAmelCase_       :    Tuple								=			'''not installed'''
        if is_safetensors_available():
          import safetensors

          lowerCAmelCase_       :    Dict								=			safetensors.__version__
        elif importlib.util.find_spec('safetensors'	) is not None:
          import safetensors

          lowerCAmelCase_       :    str								=			F"{safetensors.__version__} but is ignored because of PyTorch version too old."

        lowerCAmelCase_       :    Optional[Any]								=			'''not installed'''
        lowerCAmelCase_       :    List[Any]								=			'''not found'''
        if is_accelerate_available():
          import accelerate
          from accelerate.commands.config import default_config_file, load_config_from_file

          lowerCAmelCase_       :    Optional[int]								=			accelerate.__version__
          # Get the default from the config file.
          if self._accelerate_config_file is not None or os.path.isfile(_a	):
            lowerCAmelCase_       :    Optional[int]								=			load_config_from_file(self._accelerate_config_file	).to_dict()

          lowerCAmelCase_       :    Optional[int]								=			(
              '''\n'''.join([F"\t- {prop}: {val}" for prop, val in accelerate_config.items()]	)
              if isinstance(_a   ,      _a	)
              else F"\t{accelerate_config}"
          )

        lowerCAmelCase_       :    Tuple								=			'''not installed'''
        lowerCAmelCase_       :    Tuple								=			'''NA'''
        if is_torch_available():
          import torch

          lowerCAmelCase_       :    str								=			torch.__version__
          lowerCAmelCase_       :    int								=			torch.cuda.is_available()

        lowerCAmelCase_       :    List[Any]								=			'''not installed'''
        lowerCAmelCase_       :    Optional[Any]								=			'''NA'''
        if is_tf_available():
          import tensorflow as tf

          lowerCAmelCase_       :    int								=			tf.__version__
          try:
            # deprecated in v2.1
            lowerCAmelCase_       :    Dict								=			tf.test.is_gpu_available()
          except AttributeError:
            # returns list of devices, convert to bool
            lowerCAmelCase_       :    List[str]								=			bool(tf.config.list_physical_devices('GPU'	)	)

        lowerCAmelCase_       :    Dict								=			'''not installed'''
        lowerCAmelCase_       :    Optional[Any]								=			'''not installed'''
        lowerCAmelCase_       :    Optional[Any]								=			'''not installed'''
        lowerCAmelCase_       :    List[Any]								=			'''NA'''
        if is_flax_available():
          import flax
          import jax
          import jaxlib

          lowerCAmelCase_       :    Optional[Any]								=			flax.__version__
          lowerCAmelCase_       :    Union[str, Any]								=			jax.__version__
          lowerCAmelCase_       :    Union[str, Any]								=			jaxlib.__version__
          lowerCAmelCase_       :    Tuple								=			jax.lib.xla_bridge.get_backend().platform

        lowerCAmelCase_       :    Tuple								=			{
            '''`transformers` version''': version,
            '''Platform''': platform.platform(),
            '''Python version''': platform.python_version(),
            '''Huggingface_hub version''': huggingface_hub.__version__,
            '''Safetensors version''': F"{safetensors_version}",
            '''Accelerate version''': F"{accelerate_version}",
            '''Accelerate config''': F"{accelerate_config_str}",
            '''PyTorch version (GPU?)''': F"{pt_version} ({pt_cuda_available})",
            '''Tensorflow version (GPU?)''': F"{tf_version} ({tf_cuda_available})",
            '''Flax version (CPU?/GPU?/TPU?)''': F"{flax_version} ({jax_backend})",
            '''Jax version''': F"{jax_version}",
            '''JaxLib version''': F"{jaxlib_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 					SCREAMING_SNAKE_CASE__			(				SCREAMING_SNAKE_CASE_    :				str	):
        return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]	) + "\n"










"""simple docstring"""







import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


lowercase__		:    int				   =     HUGGINGFACE_HUB_CACHE


lowercase__		:    Tuple				   =     """config.json"""
lowercase__		:    Union[str, Any]				   =     """diffusion_pytorch_model.bin"""
lowercase__		:    List[Any]				   =     """diffusion_flax_model.msgpack"""
lowercase__		:    List[str]				   =     """model.onnx"""
lowercase__		:    List[Any]				   =     """diffusion_pytorch_model.safetensors"""
lowercase__		:    Dict				   =     """weights.pb"""
lowercase__		:    List[Any]				   =     """https://huggingface.co"""
lowercase__		:    List[Any]				   =     default_cache_path
lowercase__		:    Tuple				   =     """diffusers_modules"""
lowercase__		:    Tuple				   =     os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
lowercase__		:    List[str]				   =     ["""fp16""", """non-ema"""]
lowercase__		:    Optional[Any]				   =     """.self_attn"""





