






'''simple docstring'''

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


SCREAMING_SNAKE_CASE__											=     'Run commands across TPU VMs for initial setup before running `accelerate launch`.'







def 					lowercase__				(   __UpperCamelCase=None					)->				str:
      if subparsers is not None:
            UpperCamelCase       						=      subparsers.add_parser("""tpu-config"""	,		description=_description					)
      else:
            UpperCamelCase       						=      argparse.ArgumentParser("""Accelerate tpu-config command"""	,		description=_description					)
      # Core arguments
      UpperCamelCase       						=      parser.add_argument_group(
          """Config Arguments"""	,		"""Arguments that can be configured through `accelerate config`."""					)
      config_args.add_argument(
          """--config_file"""	,		type=__UpperCamelCase	,		default=__UpperCamelCase	,		help="""Path to the config file to use for accelerate."""	,		)
      config_args.add_argument(
          """--tpu_name"""	,		default=__UpperCamelCase	,		help="""The name of the TPU to use. If not specified, will use the TPU specified in the config file."""	,		)
      config_args.add_argument(
          """--tpu_zone"""	,		default=__UpperCamelCase	,		help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file."""	,		)
      UpperCamelCase       						=      parser.add_argument_group("""TPU Arguments"""	,		"""Arguments for options ran inside the TPU."""					)
      pod_args.add_argument(
          """--use_alpha"""	,		action="""store_true"""	,		help="""Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."""	,		)
      pod_args.add_argument(
          """--command_file"""	,		default=__UpperCamelCase	,		help="""The path to the file containing the commands to run on the pod on startup."""	,		)
      pod_args.add_argument(
          """--command"""	,		action="""append"""	,		nargs="""+"""	,		help="""A command to run on the pod. Can be passed multiple times."""	,		)
      pod_args.add_argument(
          """--install_accelerate"""	,		action="""store_true"""	,		help="""Whether to install accelerate on the pod. Defaults to False."""	,		)
      pod_args.add_argument(
          """--accelerate_version"""	,		default="""latest"""	,		help="""The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."""	,		)
      pod_args.add_argument(
          """--debug"""	,		action="""store_true"""	,		help="""If set, will print the command that would be run instead of running it."""					)

      if subparsers is not None:
            parser.set_defaults(func=__UpperCamelCase					)
      return parser







def 					lowercase__				(   __UpperCamelCase					)->				str:
      UpperCamelCase       						=      None

      # Get the default from the config file if it exists.
      if args.config_file is not None or os.path.isfile(__UpperCamelCase					):
            UpperCamelCase       						=      load_config_from_file(args.config_file					)
            if not args.command_file and defaults.command_file is not None and not args.command:
                  UpperCamelCase       						=      defaults.command_file
            if not args.command and defaults.commands is not None:
                  UpperCamelCase       						=      defaults.commands
            if not args.tpu_name:
                  UpperCamelCase       						=      defaults.tpu_name
            if not args.tpu_zone:
                  UpperCamelCase       						=      defaults.tpu_zone
      if args.accelerate_version == "dev":
            UpperCamelCase       						=      """git+https://github.com/huggingface/accelerate.git"""
      elif args.accelerate_version == "latest":
            UpperCamelCase       						=      """accelerate -U"""
      elif isinstance(parse(args.accelerate_version					)	,		__UpperCamelCase					):
            UpperCamelCase       						=      F"accelerate=={args.accelerate_version}"

      if not args.command_file and not args.command:
            raise ValueError("""You must specify either a command file or a command to run on the pod."""					)

      if args.command_file:
            with open(args.command_file	,		"""r"""					) as f:
                  UpperCamelCase       						=      [f.read().splitlines()]

    # To turn list of lists into list of strings
      if isinstance(args.command[0]	,		__UpperCamelCase					):
            UpperCamelCase       						=      [line for cmd in args.command for line in cmd]
      # Default to the shared folder and install accelerate
      UpperCamelCase       						=      ["""cd /usr/share"""]
      if args.install_accelerate:
            new_cmd += [F"pip install {args.accelerate_version}"]
      new_cmd += args.command
      UpperCamelCase       						=      """; """.join(__UpperCamelCase					)

      # Then send it to gcloud
      # Eventually try to use google-api-core to do this instead of subprocess
      UpperCamelCase       						=      ["""gcloud"""]
      if args.use_alpha:
            cmd += ["alpha"]
      cmd += [
          "compute",
          "tpus",
          "tpu-vm",
          "ssh",
          args.tpu_name,
          "--zone",
          args.tpu_zone,
          "--command",
          args.command,
          "--worker",
          "all",
      ]
      if args.debug:
            print(F"Running {' '.join(__UpperCamelCase					)}"					)
            return
      subprocess.run(__UpperCamelCase					)
      print("""Successfully setup pod."""					)







def 					lowercase__				(   )->				Dict:
      UpperCamelCase       						=      tpu_command_parser()
      UpperCamelCase       						=      parser.parse_args()

      tpu_command_launcher(__UpperCamelCase					)








'''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 					lowercase__				(   __UpperCamelCase					)->				str:
      return EnvironmentCommand()







def 					lowercase__				(   __UpperCamelCase					)->				str:
      return EnvironmentCommand(args.accelerate_config_file					)






class        a_		(    lowerCamelCase       ):

  @staticmethod
  def 						A__		(   _SCREAMING_SNAKE_CASE   )						->   Optional[Any]:



        """simple docstring"""






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

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE    ,	*_SCREAMING_SNAKE_CASE   )						->   None:



        """simple docstring"""






        UpperCamelCase       						=      accelerate_config_file

  def 						A__		(   self   )						->   List[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(_SCREAMING_SNAKE_CASE   ):
                    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(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )
                  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(_SCREAMING_SNAKE_CASE   )   )

        return info


  @staticmethod
  def 						A__		(   _SCREAMING_SNAKE_CASE   )						->   Dict:



        """simple docstring"""






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