






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 				lowerCamelCase__      (    __lowerCamelCase			:     Optional[Any]		):
  return EnvironmentCommand()






def 				lowerCamelCase__      (    __lowerCamelCase			:     Optional[Any]		):
  return EnvironmentCommand(args.accelerate_config_file		)







class     a    ( lowercase__   ):



      """simple docstring"""


      @staticmethod
      def 	UpperCAmelCase      (      __lowercase					:			ArgumentParser					)							->      Union[str, Any]:
        __UpperCAmelCase							:	Any           =  parser.add_parser("""env"""					)
        download_parser.set_defaults(func=__lowercase					)
        download_parser.add_argument(
            """--accelerate-config_file"""		,      default=__lowercase		,      help="""The accelerate config file to use for the default values in the launching script."""		,      )
        download_parser.set_defaults(func=__lowercase					)
      def __init__(      self					:			Optional[Any]		,      __lowercase					:			Optional[Any]		,      *__lowercase					:			Optional[int]					)							->      None:
        __UpperCAmelCase							:	Dict           =  accelerate_config_file
      def 	UpperCAmelCase      (      self					:			Optional[Any]					)							->      List[str]:
        __UpperCAmelCase							:	Any           =  """not installed"""
        if is_safetensors_available():
          import safetensors

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

          __UpperCAmelCase							:	int           =  f"""{safetensors.__version__} but is ignored because of PyTorch version too old."""

        __UpperCAmelCase							:	Tuple           =  """not installed"""
        __UpperCAmelCase							:	List[str]           =  """not found"""
        if is_accelerate_available():
          import accelerate
          from accelerate.commands.config import default_config_file, load_config_from_file

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

          __UpperCAmelCase							:	Optional[Any]           =  (
              """\n""".join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]					)
              if isinstance(__lowercase		,      __lowercase					)
              else f"""\t{accelerate_config}"""
          )

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

          __UpperCAmelCase							:	Optional[Any]           =  torch.__version__
          __UpperCAmelCase							:	Dict           =  torch.cuda.is_available()

        __UpperCAmelCase							:	str           =  """not installed"""
        __UpperCAmelCase							:	Any           =  """NA"""
        if is_tf_available():
          import tensorflow as tf

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

        __UpperCAmelCase							:	Union[str, Any]           =  """not installed"""
        __UpperCAmelCase							:	List[str]           =  """not installed"""
        __UpperCAmelCase							:	Union[str, Any]           =  """not installed"""
        __UpperCAmelCase							:	List[Any]           =  """NA"""
        if is_flax_available():
          import flax
          import jax
          import jaxlib

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

        __UpperCAmelCase							:	str           =  {
            """`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(__lowercase					)					)

        return info




      @staticmethod
      def 	UpperCAmelCase      (      __lowercase					:			Tuple					)							->      List[str]:
        return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()]					) + "\n"










def 				lowerCamelCase__      (    __lowerCamelCase			:     Tuple  ,		__lowerCamelCase			:     Union[str, Any]		):
  __UpperCAmelCase							:	Tuple           =  [1]
  for i in range(2  ,		__lowerCamelCase		):
    factorials.append(factorials[-1] * i		)
  assert 0 <= k < factorials[-1] * n, "k out of bounds"

  __UpperCAmelCase							:	Optional[Any]           =  []
  __UpperCAmelCase							:	str           =  list(range(__lowerCamelCase		)		)

  # Find permutation
  while factorials:
    __UpperCAmelCase							:	Any           =  factorials.pop()
    __UpperCAmelCase      , __UpperCAmelCase							:	Optional[Any]           =  divmod(__lowerCamelCase  ,		__lowerCamelCase		)
    permutation.append(elements[number]		)
    elements.remove(elements[number]		)
  permutation.append(elements[0]		)

  return permutation


if __name__ == "__main__":
       import doctest

       doctest.testmod()


