



"""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 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						Optional[int]:







  '''simple docstring'''


  return EnvironmentCommand()


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						Optional[int]:







  '''simple docstring'''


  return EnvironmentCommand(args.accelerate_config_file							)


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):

    @staticmethod
    def 					_UpperCAmelCase	(				lowerCAmelCase_			:				ArgumentParser):







      """simple docstring"""







      lowercase_								= parser.add_parser("""env""")
      download_parser.set_defaults(func=lowerCAmelCase_)
      download_parser.add_argument(
          """--accelerate-config_file""" ,  default=lowerCAmelCase_ ,  help="""The accelerate config file to use for the default values in the launching script.""" ,  )
      download_parser.set_defaults(func=lowerCAmelCase_)

    def __init__(				self			:				Any ,  lowerCAmelCase_			:				Optional[Any] ,  *lowerCAmelCase_			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= accelerate_config_file

    def 					_UpperCAmelCase	(				self			:				Union[str, Any]):







      """simple docstring"""







      lowercase_								= """not installed"""
      if is_safetensors_available():
        import safetensors

        lowercase_								= safetensors.__version__
      elif importlib.util.find_spec("""safetensors""") is not None:
        import safetensors

        lowercase_								= F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

      lowercase_								= """not installed"""
      lowercase_								= lowercase_								= """not found"""
      if is_accelerate_available():
        import accelerate
        from accelerate.commands.config import default_config_file, load_config_from_file

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

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

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

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

      lowercase_								= """not installed"""
      lowercase_								= """NA"""
      if is_tf_available():
        import tensorflow as tf

        lowercase_								= tf.__version__
        try:
          # deprecated in v2.1
          lowercase_								= tf.test.is_gpu_available()
        except AttributeError:
          # returns list of devices, convert to bool
          lowercase_								= bool(tf.config.list_physical_devices("""GPU"""))

      lowercase_								= """not installed"""
      lowercase_								= """not installed"""
      lowercase_								= """not installed"""
      lowercase_								= """NA"""
      if is_flax_available():
        import flax
        import jax
        import jaxlib

        lowercase_								= flax.__version__
        lowercase_								= jax.__version__
        lowercase_								= jaxlib.__version__
        lowercase_								= jax.lib.xla_bridge.get_backend().platform

      lowercase_								= {
          """`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(lowerCAmelCase_))

      return info




    @staticmethod
    def 					_UpperCAmelCase	(				lowerCAmelCase_			:				Union[str, Any]):







      """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


UpperCAmelCase						:		List[Any]			= {"tokenization_bertweet": ["BertweetTokenizer"]}


if TYPE_CHECKING:
       from .tokenization_bertweet import BertweetTokenizer

else:
       import sys

       UpperCAmelCase						:		Tuple			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

