



"""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        a__     (				lowerCAmelCase__				):
      return EnvironmentCommand()
def        a__     (				lowerCAmelCase__				):
      return EnvironmentCommand(args.accelerate_config_file				)


class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       @staticmethod
       def 					lowercase__    (							_UpperCAmelCase      :  ArgumentParser   )			->						Optional[Any]:


             '''simple docstring'''




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



       def __init__(							self      :  str		,    _UpperCAmelCase      :  Optional[Any]		,    *_UpperCAmelCase      :  List[Any]   )			->						None:


             '''simple docstring'''




             UpperCAmelCase_      			=							accelerate_config_file



       def 					lowercase__    (							self      :  Tuple   )			->						Any:


             '''simple docstring'''




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

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

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

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

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

                   UpperCAmelCase_      			=							(
                       "\n".join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]   )
                       if isinstance(_UpperCAmelCase		,    _UpperCAmelCase   )
                       else F"""\t{accelerate_config}"""
                   )

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

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

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

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

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

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

             UpperCAmelCase_      			=							{
                 "`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(_UpperCAmelCase   )   )

             return info







       @staticmethod
       def 					lowercase__    (							_UpperCAmelCase      :  Optional[Any]   )			->						List[Any]:


             '''simple docstring'''




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









"""simple docstring"""





from collections.abc import Iterable
from typing import Generic, TypeVar

lowerCamelCase       	=						TypeVar("""_T""")
class 				lowercase__       (   Generic[_T]				):







       '''simple docstring'''


       def __init__(							self      :  int		,    _UpperCAmelCase      :  Iterable[_T] | None = None   )			->						None:


             '''simple docstring'''




             UpperCAmelCase_      			=							list(iterable or []   )
             UpperCAmelCase_      			=							[]



       def __len__(							self      :  Optional[int]   )			->						int:


             '''simple docstring'''




             return len(self._stacka   ) + len(self._stacka   )



       def __repr__(							self      :  Optional[Any]   )			->						str:


             '''simple docstring'''




             return F"""Queue({tuple(self._stacka[::-1] + self._stacka   )})"""



       def 					lowercase__    (							self      :  Optional[Any]		,    _UpperCAmelCase      :  _T   )			->						None:


             '''simple docstring'''




             self._stacka.append(_UpperCAmelCase   )







       def 					lowercase__    (							self      :  Dict   )			->						_T:


             '''simple docstring'''




             UpperCAmelCase_      			=							self._stacka.pop
             UpperCAmelCase_      			=							self._stacka.append

             if not self._stacka:
                   while self._stacka:
                         stacka_append(stacka_pop()   )

             if not self._stacka:
                   raise IndexError("Queue is empty"   )
             return self._stacka.pop()


if __name__ == "__main__":
  from doctest import testmod

  testmod()




