



# Copyright 2021 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.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser

def     __lowercase(	):


      """simple docstring"""



      lowerCamelCase								=		ArgumentParser("Accelerate CLI tool"   ,   usage="accelerate <command> [<args>]"   ,   allow_abbrev=UpperCAmelCase__ )
      lowerCamelCase								=		parser.add_subparsers(help="accelerate command helpers" )

      # Register commands
      get_config_parser(subparsers=UpperCAmelCase__ )
      env_command_parser(subparsers=UpperCAmelCase__ )
      launch_command_parser(subparsers=UpperCAmelCase__ )
      tpu_command_parser(subparsers=UpperCAmelCase__ )
      test_command_parser(subparsers=UpperCAmelCase__ )

      # Let's go
      lowerCamelCase								=		parser.parse_args()

      if not hasattr(UpperCAmelCase__   ,   "func" ):
            parser.print_help()
            exit(1 )

      # Run
      args.func(UpperCAmelCase__ )


if __name__ == "__main__":
     main()




a_						:     List[str]	     =		'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

a_						:     Any	     =		[{'type': 'code', 'content': INSTALL_CONTENT}]
a_						:     str	     =		{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}