
"""simple docstring"""

# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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


UpperCamelCase			:       Optional[int]									=				"Run commands across TPU VMs for initial setup before running `accelerate launch`."






def 							A		(       snake_case   :List[Any]=None	)   ->			List[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=snake_case       ,      default=snake_case       ,      help='Path to the config file to use for accelerate.'       ,      )
 config_args.add_argument(
     '--tpu_name'       ,      default=snake_case       ,      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=snake_case       ,      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=snake_case       ,      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=snake_case	)
 return parser






def 							A		(       snake_case   :List[str]	)   ->			str:
 __UpperCamelCase       						= None

 # Get the default from the config file if it exists.
 if args.config_file is not None or os.path.isfile(snake_case	):
  __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	)       ,      snake_case	):
  __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]       ,      snake_case	):
  __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(snake_case	)

 # 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(snake_case	)}'	)
  return
 subprocess.run(snake_case	)
 print('Successfully setup pod.'	)






def 							A		(       )   ->			Dict:
 __UpperCamelCase       						= tpu_command_parser()
 __UpperCamelCase       						= parser.parse_args()

 tpu_command_launcher(snake_case	)





"""simple docstring"""

from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase			:       List[str]									=				{
    "configuration_autoformer": [
        "AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AutoformerConfig",
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase			:       Dict									=				[
          "AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "AutoformerForPrediction",
          "AutoformerModel",
          "AutoformerPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_autoformer import (
          AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          AutoformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_autoformer import (
                AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                AutoformerForPrediction,
                AutoformerModel,
                AutoformerPreTrainedModel,
            )

else:
      import sys

      UpperCamelCase			:       int									=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



