




# 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 	_a      (						):
					__lowerCAmelCase				   =       ArgumentParser("Accelerate CLI tool"      ,      usage="accelerate <command> [<args>]"      ,      allow_abbrev=SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       parser.add_subparsers(help="accelerate command helpers"     )

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

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

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

					# Run
					args.func(SCREAMING_SNAKE_CASE_     )


if __name__ == "__main__":
					main()











from __future__ import annotations
def      _A       (		SCREAMING_SNAKE_CASE     :   list						):





  """simple docstring"""



  if len(SCREAMING_SNAKE_CASE						) == 0:
    return []
  a__					,							a__	:					int										=min(SCREAMING_SNAKE_CASE						), max(SCREAMING_SNAKE_CASE						)
  a__	:					Optional[int]										=int(max_value - min_value						) + 1
  a__	:					list[list]										=[[] for _ in range(SCREAMING_SNAKE_CASE						)]

  for i in my_list:
    buckets[int(i - min_value						)].append(SCREAMING_SNAKE_CASE						)

  return [v for bucket in buckets for v in sorted(SCREAMING_SNAKE_CASE						)]


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

     testmod()
     assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
     assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]






